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pipenv jupyter lab example
Raw
.gitignore
requirements.txt
requirements-all.txt
*.tgz
*.tar.gz
*.tar.xz
*.zip
*.snappy.parquet
# Created by https://www.toptal.com/developers/gitignore/api/python,jupyternotebooks,visualstudiocode,vim,pycharm+all,emacs
# Edit at https://www.toptal.com/developers/gitignore?templates=python,jupyternotebooks,visualstudiocode,vim,pycharm+all,emacs
### Emacs ###
# -*- mode: gitignore; -*-
*~
\#*\#
/.emacs.desktop
/.emacs.desktop.lock
*.elc
auto-save-list
tramp
.\#*
# Org-mode
.org-id-locations
*_archive
# flymake-mode
*_flymake.*
# eshell files
/eshell/history
/eshell/lastdir
# elpa packages
/elpa/
# reftex files
*.rel
# AUCTeX auto folder
/auto/
# cask packages
.cask/
dist/
# Flycheck
flycheck_*.el
# server auth directory
/server/
# projectiles files
.projectile
# directory configuration
.dir-locals.el
# network security
/network-security.data
### JupyterNotebooks ###
# gitignore template for Jupyter Notebooks
# website: http://jupyter.org/
.ipynb_checkpoints
*/.ipynb_checkpoints/*
# IPython
profile_default/
ipython_config.py
# Remove previous ipynb_checkpoints
# git rm -r .ipynb_checkpoints/
### PyCharm+all ###
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
# User-specific stuff
.idea/**/workspace.xml
.idea/**/tasks.xml
.idea/**/usage.statistics.xml
.idea/**/dictionaries
.idea/**/shelf
# AWS User-specific
.idea/**/aws.xml
# Generated files
.idea/**/contentModel.xml
# Sensitive or high-churn files
.idea/**/dataSources/
.idea/**/dataSources.ids
.idea/**/dataSources.local.xml
.idea/**/sqlDataSources.xml
.idea/**/dynamic.xml
.idea/**/uiDesigner.xml
.idea/**/dbnavigator.xml
# Gradle
.idea/**/gradle.xml
.idea/**/libraries
# Gradle and Maven with auto-import
# When using Gradle or Maven with auto-import, you should exclude module files,
# since they will be recreated, and may cause churn. Uncomment if using
# auto-import.
# .idea/artifacts
# .idea/compiler.xml
# .idea/jarRepositories.xml
# .idea/modules.xml
# .idea/*.iml
# .idea/modules
# *.iml
# *.ipr
# CMake
cmake-build-*/
# Mongo Explorer plugin
.idea/**/mongoSettings.xml
# File-based project format
*.iws
# IntelliJ
out/
# mpeltonen/sbt-idea plugin
.idea_modules/
# JIRA plugin
atlassian-ide-plugin.xml
# Cursive Clojure plugin
.idea/replstate.xml
# SonarLint plugin
.idea/sonarlint/
# Crashlytics plugin (for Android Studio and IntelliJ)
com_crashlytics_export_strings.xml
crashlytics.properties
crashlytics-build.properties
fabric.properties
# Editor-based Rest Client
.idea/httpRequests
# Android studio 3.1+ serialized cache file
.idea/caches/build_file_checksums.ser
### PyCharm+all Patch ###
# Ignore everything but code style settings and run configurations
# that are supposed to be shared within teams.
.idea/*
!.idea/codeStyles
!.idea/runConfigurations
### Python ###
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
# IPython
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
### Python Patch ###
# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
poetry.toml
# ruff
.ruff_cache/
### Vim ###
# Swap
[._]*.s[a-v][a-z]
!*.svg # comment out if you don't need vector files
[._]*.sw[a-p]
[._]s[a-rt-v][a-z]
[._]ss[a-gi-z]
[._]sw[a-p]
# Session
Session.vim
Sessionx.vim
# Temporary
.netrwhist
# Auto-generated tag files
tags
# Persistent undo
[._]*.un~
### VisualStudioCode ###
.vscode/*
!.vscode/settings.json
!.vscode/tasks.json
!.vscode/launch.json
!.vscode/extensions.json
!.vscode/*.code-snippets
# Local History for Visual Studio Code
.history/
# Built Visual Studio Code Extensions
*.vsix
### VisualStudioCode Patch ###
# Ignore all local history of files
.history
.ionide
# End of https://www.toptal.com/developers/gitignore/api/python,jupyternotebooks,visualstudiocode,vim,pycharm+all,emacs
Raw
.pre-commit-config.yaml
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v2.3.0
hooks:
- id: check-yaml
- id: end-of-file-fixer
- id: trailing-whitespace
- repo: https://github.com/psf/black
rev: 22.10.0
hooks:
- id: black
Raw
README.md

jupyter example

setup

  • install
# init
PIPENV_VENV_IN_PROJECT=true pipenv install

# add packages
pipenv install <package>

# add dev-packages
pipenv install --dev <package>
  • pre-commit
pipenv shell
pre-commit install

run

  • shell
pipenv shell
  • jupyter lab
# in virtual env
jupyter lab

# or use script(can be executed out of virtual env)
pipenv run start

export

# requirements.txt (without dev-dependencies)
pipenv requirements > requirements.txt

# requirements-all.txt (include dev-dependencies)
pipenv requirements --dev > requirements-all.txt
Raw
Pipfile
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
jupyterlab = "*"
numpy = "*"
pandas = "*"
matplotlib = "*"
seaborn = "*"
pyarrow = "*"
folium = "*"
dask = "*"
bokeh = "*"
holoviews = "*"
scikit-learn = "*"
[dev-packages]
pyls-mypy = "*"
pyls-isort = "*"
pyls-black = "*"
python-language-server = {extras = ["all"], version = "*"}
jupyterlab-lsp = "*"
pre-commit = "*"
[scripts]
start = "jupyter lab"
[requires]
python_version = "3.10"
Raw
Pipfile.lock
{
"_meta": {
"hash": {
"sha256": "0d8b0687586e219a5954bfbdd1952bbeaa3a5c7402918f7a2553445d2150c174"
},
"pipfile-spec": 6,
"requires": {
"python_version": "3.10"
},
"sources": [
{
"name": "pypi",
"url": "https://pypi.org/simple",
"verify_ssl": true
}
]
},
"default": {
"aiofiles": {
"hashes": [
"sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad",
"sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"
],
"markers": "python_version >= '3.7' and python_version < '4.0'",
"version": "==22.1.0"
},
"aiosqlite": {
"hashes": [
"sha256:c3511b841e3a2c5614900ba1d179f366826857586f78abd75e7cbeb88e75a557",
"sha256:faa843ef5fb08bafe9a9b3859012d3d9d6f77ce3637899de20606b7fc39aa213"
],
"markers": "python_version >= '3.7'",
"version": "==0.18.0"
},
"anyio": {
"hashes": [
"sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421",
"sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"
],
"markers": "python_full_version >= '3.6.2'",
"version": "==3.6.2"
},
"argon2-cffi": {
"hashes": [
"sha256:8c976986f2c5c0e5000919e6de187906cfd81fb1c72bf9d88c01177e77da7f80",
"sha256:d384164d944190a7dd7ef22c6aa3ff197da12962bd04b17f64d4e93d934dba5b"
],
"markers": "python_version >= '3.6'",
"version": "==21.3.0"
},
"argon2-cffi-bindings": {
"hashes": [
"sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670",
"sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f",
"sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583",
"sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194",
"sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c",
"sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a",
"sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082",
"sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5",
"sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f",
"sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7",
"sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d",
"sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f",
"sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae",
"sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3",
"sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86",
"sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367",
"sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d",
"sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93",
"sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb",
"sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e",
"sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"
],
"markers": "python_version >= '3.6'",
"version": "==21.2.0"
},
"arrow": {
"hashes": [
"sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1",
"sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"
],
"markers": "python_version >= '3.6'",
"version": "==1.2.3"
},
"asttokens": {
"hashes": [
"sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3",
"sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"
],
"version": "==2.2.1"
},
"attrs": {
"hashes": [
"sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836",
"sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"
],
"markers": "python_version >= '3.6'",
"version": "==22.2.0"
},
"babel": {
"hashes": [
"sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610",
"sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"
],
"markers": "python_version >= '3.7'",
"version": "==2.12.1"
},
"backcall": {
"hashes": [
"sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e",
"sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"
],
"version": "==0.2.0"
},
"beautifulsoup4": {
"hashes": [
"sha256:0e79446b10b3ecb499c1556f7e228a53e64a2bfcebd455f370d8927cb5b59e39",
"sha256:bc4bdda6717de5a2987436fb8d72f45dc90dd856bdfd512a1314ce90349a0106"
],
"markers": "python_full_version >= '3.6.0'",
"version": "==4.11.2"
},
"bleach": {
"hashes": [
"sha256:1a1a85c1595e07d8db14c5f09f09e6433502c51c595970edc090551f0db99414",
"sha256:33c16e3353dbd13028ab4799a0f89a83f113405c766e9c122df8a06f5b85b3f4"
],
"markers": "python_version >= '3.7'",
"version": "==6.0.0"
},
"bokeh": {
"hashes": [
"sha256:104d2f0a4ca7774ee4b11e545aa34ff76bf3e2ad6de0d33944361981b65da420",
"sha256:ef33801161af379665ab7a34684f2209861e3aefd5c803a21fbbb99d94874b03"
],
"index": "pypi",
"version": "==2.4.3"
},
"branca": {
"hashes": [
"sha256:55949855214504c7583b71b9a03a84dce2e96a84027613bb53b42d04844ce24e",
"sha256:ae706fc7a88dd0296a58bb11c0cb3c6be358491a3b0abee08fe16b4db17814c0"
],
"markers": "python_version >= '3.7'",
"version": "==0.6.0"
},
"certifi": {
"hashes": [
"sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3",
"sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"
],
"markers": "python_version >= '3.6'",
"version": "==2022.12.7"
},
"cffi": {
"hashes": [
"sha256:00a9ed42e88df81ffae7a8ab6d9356b371399b91dbdf0c3cb1e84c03a13aceb5",
"sha256:03425bdae262c76aad70202debd780501fabeaca237cdfddc008987c0e0f59ef",
"sha256:04ed324bda3cda42b9b695d51bb7d54b680b9719cfab04227cdd1e04e5de3104",
"sha256:0e2642fe3142e4cc4af0799748233ad6da94c62a8bec3a6648bf8ee68b1c7426",
"sha256:173379135477dc8cac4bc58f45db08ab45d228b3363adb7af79436135d028405",
"sha256:198caafb44239b60e252492445da556afafc7d1e3ab7a1fb3f0584ef6d742375",
"sha256:1e74c6b51a9ed6589199c787bf5f9875612ca4a8a0785fb2d4a84429badaf22a",
"sha256:2012c72d854c2d03e45d06ae57f40d78e5770d252f195b93f581acf3ba44496e",
"sha256:21157295583fe8943475029ed5abdcf71eb3911894724e360acff1d61c1d54bc",
"sha256:2470043b93ff09bf8fb1d46d1cb756ce6132c54826661a32d4e4d132e1977adf",
"sha256:285d29981935eb726a4399badae8f0ffdff4f5050eaa6d0cfc3f64b857b77185",
"sha256:30d78fbc8ebf9c92c9b7823ee18eb92f2e6ef79b45ac84db507f52fbe3ec4497",
"sha256:320dab6e7cb2eacdf0e658569d2575c4dad258c0fcc794f46215e1e39f90f2c3",
"sha256:33ab79603146aace82c2427da5ca6e58f2b3f2fb5da893ceac0c42218a40be35",
"sha256:3548db281cd7d2561c9ad9984681c95f7b0e38881201e157833a2342c30d5e8c",
"sha256:3799aecf2e17cf585d977b780ce79ff0dc9b78d799fc694221ce814c2c19db83",
"sha256:39d39875251ca8f612b6f33e6b1195af86d1b3e60086068be9cc053aa4376e21",
"sha256:3b926aa83d1edb5aa5b427b4053dc420ec295a08e40911296b9eb1b6170f6cca",
"sha256:3bcde07039e586f91b45c88f8583ea7cf7a0770df3a1649627bf598332cb6984",
"sha256:3d08afd128ddaa624a48cf2b859afef385b720bb4b43df214f85616922e6a5ac",
"sha256:3eb6971dcff08619f8d91607cfc726518b6fa2a9eba42856be181c6d0d9515fd",
"sha256:40f4774f5a9d4f5e344f31a32b5096977b5d48560c5592e2f3d2c4374bd543ee",
"sha256:4289fc34b2f5316fbb762d75362931e351941fa95fa18789191b33fc4cf9504a",
"sha256:470c103ae716238bbe698d67ad020e1db9d9dba34fa5a899b5e21577e6d52ed2",
"sha256:4f2c9f67e9821cad2e5f480bc8d83b8742896f1242dba247911072d4fa94c192",
"sha256:50a74364d85fd319352182ef59c5c790484a336f6db772c1a9231f1c3ed0cbd7",
"sha256:54a2db7b78338edd780e7ef7f9f6c442500fb0d41a5a4ea24fff1c929d5af585",
"sha256:5635bd9cb9731e6d4a1132a498dd34f764034a8ce60cef4f5319c0541159392f",
"sha256:59c0b02d0a6c384d453fece7566d1c7e6b7bae4fc5874ef2ef46d56776d61c9e",
"sha256:5d598b938678ebf3c67377cdd45e09d431369c3b1a5b331058c338e201f12b27",
"sha256:5df2768244d19ab7f60546d0c7c63ce1581f7af8b5de3eb3004b9b6fc8a9f84b",
"sha256:5ef34d190326c3b1f822a5b7a45f6c4535e2f47ed06fec77d3d799c450b2651e",
"sha256:6975a3fac6bc83c4a65c9f9fcab9e47019a11d3d2cf7f3c0d03431bf145a941e",
"sha256:6c9a799e985904922a4d207a94eae35c78ebae90e128f0c4e521ce339396be9d",
"sha256:70df4e3b545a17496c9b3f41f5115e69a4f2e77e94e1d2a8e1070bc0c38c8a3c",
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"version": "==0.5.9"
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Display the source blob
Display the rendered blob
Raw
visualization_example.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "b2d4916b-86f5-468f-ab99-d841bfe5f38c",
"metadata": {},
"source": [
"# Visualization example"
]
},
{
"cell_type": "markdown",
"id": "9a4416a3-1137-4f04-934d-d48eb033bb82",
"metadata": {},
"source": [
"## seaborn\n",
"\n",
"- [seaborn](https://seaborn.pydata.org/)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "6148aec9-27cf-4f74-b0fa-1dac18f808db",
"metadata": {
"tags": []
},
"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>sepal_length</th>\n",
" <th>sepal_width</th>\n",
" <th>petal_length</th>\n",
" <th>petal_width</th>\n",
" <th>species</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>5.1</td>\n",
" <td>3.5</td>\n",
" <td>1.4</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4.9</td>\n",
" <td>3.0</td>\n",
" <td>1.4</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4.7</td>\n",
" <td>3.2</td>\n",
" <td>1.3</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4.6</td>\n",
" <td>3.1</td>\n",
" <td>1.5</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5.0</td>\n",
" <td>3.6</td>\n",
" <td>1.4</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sepal_length sepal_width petal_length petal_width species\n",
"0 5.1 3.5 1.4 0.2 setosa\n",
"1 4.9 3.0 1.4 0.2 setosa\n",
"2 4.7 3.2 1.3 0.2 setosa\n",
"3 4.6 3.1 1.5 0.2 setosa\n",
"4 5.0 3.6 1.4 0.2 setosa"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import seaborn as sns\n",
"iris = sns.load_dataset('iris') # pandas dataframe\n",
"iris.head()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "70d969da-fcec-4d54-940d-4ac6d87f332e",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.PairGrid at 0x7f9dd6c93700>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 1000x1000 with 20 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.pairplot(iris)"
]
},
{
"cell_type": "markdown",
"id": "185f77fa-af97-4cb2-b899-2e7af7efe2bb",
"metadata": {
"tags": []
},
"source": [
"## pandas dataframe & matplotlib\n",
"\n",
"- ref: [note.nkmk.me - pandasのplotメソッドでグラフを作成しデータを可視化](https://note.nkmk.me/python-pandas-plot/)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5501830b-e6d4-446a-af0c-5c05312f968c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "fd8378c3-c194-4155-8975-59ddb919d66d",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: >"
]
},
"execution_count": 4,
"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": [
"df = iris.copy()\n",
"\n",
"# 適当にplotできる\n",
"df.plot()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "2c7101e9-8078-4ce7-b527-9e40d3d77892",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='xlabel', ylabel='ylabel'>"
]
},
"execution_count": 5,
"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": [
"# matplotlibのfig, axのaxを渡せる\n",
"fig, ax = plt.subplots()\n",
"\n",
"ax.set_ylabel('ylabel')\n",
"ax.set_xlabel('xlabel')\n",
"df.plot(ax=ax)"
]
},
{
"cell_type": "markdown",
"id": "cb7e40d3-50e0-4f0f-ae99-92c7a579da00",
"metadata": {},
"source": [
"色々な種類のグラフも生成出来る"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c7db8c60-3974-4ff2-8cdd-bfa87edb0c80",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: ylabel='Frequency'>"
]
},
"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": [
"# histogram\n",
"df.plot(kind='hist')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "1b5aba0a-c474-4501-a3a0-f310884c5794",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"array([<Axes: >, <Axes: >, <Axes: >, <Axes: >], dtype=object)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.plot(subplots=True)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "cc23ad8c-4e87-4540-b0ae-88d58c8f7274",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"array([[<Axes: >, <Axes: >],\n",
" [<Axes: >, <Axes: >]], dtype=object)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.plot(subplots=True, layout=(2, 2))"
]
},
{
"cell_type": "markdown",
"id": "57b10e0b-d7aa-4e2a-8298-30614efef9a8",
"metadata": {},
"source": [
"## bokeh\n",
"\n",
"interractive visualization\n",
"\n",
"- [bokeh callery](https://docs.bokeh.org/en/latest/docs/gallery.html)"
]
},
{
"cell_type": "markdown",
"id": "c4a56a28-bfee-4fae-b99c-85edbb915c70",
"metadata": {},
"source": [
"## holoviews\n",
"\n",
"- [HoloViews - Gallery](https://holoviews.org/gallery/index.html)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "3ab44d6e-cc13-4adb-8eac-d6f24071b0b4",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/javascript": [
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
"\n",
" if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
" root._bokeh_onload_callbacks = [];\n",
" root._bokeh_is_loading = undefined;\n",
" }\n",
"\n",
" if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
" root._bokeh_timeout = Date.now() + 5000;\n",
" root._bokeh_failed_load = false;\n",
" }\n",
"\n",
" function run_callbacks() {\n",
" try {\n",
" root._bokeh_onload_callbacks.forEach(function(callback) {\n",
" if (callback != null)\n",
" callback();\n",
" });\n",
" } finally {\n",
" delete root._bokeh_onload_callbacks\n",
" }\n",
" console.debug(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(css_urls, js_urls, js_modules, callback) {\n",
" if (css_urls == null) css_urls = [];\n",
" if (js_urls == null) js_urls = [];\n",
" if (js_modules == null) js_modules = [];\n",
"\n",
" root._bokeh_onload_callbacks.push(callback);\n",
" if (root._bokeh_is_loading > 0) {\n",
" console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
" if (js_urls.length === 0 && js_modules.length === 0) {\n",
" run_callbacks();\n",
" return null;\n",
" }\n",
" console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
"\n",
" function on_load() {\n",
" root._bokeh_is_loading--;\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
" run_callbacks()\n",
" }\n",
" }\n",
"\n",
" function on_error() {\n",
" console.error(\"failed to load \" + url);\n",
" }\n",
"\n",
" for (var i = 0; i < css_urls.length; i++) {\n",
" var url = css_urls[i];\n",
" const element = document.createElement(\"link\");\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.rel = \"stylesheet\";\n",
" element.type = \"text/css\";\n",
" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" var skip = [];\n",
" if (window.requirejs) {\n",
" window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n",
" require([\"gridstack\"], function(GridStack) {\n",
"\twindow.GridStack = GridStack\n",
"\ton_load()\n",
" })\n",
" require([\"notyf\"], function() {\n",
"\ton_load()\n",
" })\n",
" root._bokeh_is_loading = css_urls.length + 2;\n",
" } else {\n",
" root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n",
" } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
" var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/gridstack/[email protected]/dist/gridstack-h5.js'];\n",
" for (var i = 0; i < urls.length; i++) {\n",
" skip.push(urls[i])\n",
" }\n",
" } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
" var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
" for (var i = 0; i < urls.length; i++) {\n",
" skip.push(urls[i])\n",
" }\n",
" } for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" if (skip.indexOf(url) >= 0) {\n",
"\tif (!window.requirejs) {\n",
"\t on_load();\n",
"\t}\n",
"\tcontinue;\n",
" }\n",
" var element = document.createElement('script');\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" for (var i = 0; i < js_modules.length; i++) {\n",
" var url = js_modules[i];\n",
" if (skip.indexOf(url) >= 0) {\n",
"\tif (!window.requirejs) {\n",
"\t on_load();\n",
"\t}\n",
"\tcontinue;\n",
" }\n",
" var element = document.createElement('script');\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" element.type = \"module\";\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" if (!js_urls.length && !js_modules.length) {\n",
" on_load()\n",
" }\n",
" };\n",
"\n",
" function inject_raw_css(css) {\n",
" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" var js_urls = [];\n",
" var js_modules = [];\n",
" var css_urls = [];\n",
" var inline_js = [ function(Bokeh) {\n",
" inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n content:\\\" \\\";\\n position:absolute;\\n height: 20px;\\n top:0;\\n left:0;\\n right:0;\\n bottom:0;\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n content: \\\"\\\";\\n border-radius: 50%;\\n -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n width: 100%;\\n height: 100%;\\n left: 0;\\n top: 0;\\n position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n border: 1px solid #ccc;\\n}\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\".bk.debugger-card {\\n border: 1px solid rgba(0,0,0,1);\\n color: rgba(255,255,255,1);\\n background-color: rgba(0,0,0,1);\\n border-radius: 0rem;\\n}\\n.bk.debugger-card-header {\\n align-items: center;\\n text-align: left;\\n background-color: rgba(0, 0, 0, 1)!important;\\n color: rgba(255, 255, 255, 1);\\n border-radius: 0rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.debugger-card-button {\\n background-color: transparent;\\n color: rgba(255, 255, 255, 1);\\n margin-left: 0.5em;\\n}\\n.bk.debugger-card-title {\\n align-items: center;\\n text-align: left;\\n color: rgba(255, 255, 255, 1);\\n font-size: 1em;\\n overflow-wrap: break-word;\\n}\\n\\n/* Special debugger buttons for clearing and saving */\\n.bk button.special_btn {\\n width: 25px;\\n height: 25px;\\n background-color: black;\\n color: white;\\n display: inline-block;\\n}\\n\\n\\n.bk button.special_btn .tooltiptext {\\n visibility: hidden;\\n width: 100px;\\n background-color: darkgray;\\n color: #fff;\\n text-align: center;\\n border-radius: 6px;\\n padding: 5px 0;\\n\\n /* Position the tooltip */\\n position: relative;\\n z-index: 1;\\n top: 100%;\\n left: 100%;\\n margin-left: -100px;\\n display: block;\\n}\\n\\n.bk button.special_btn:hover .tooltiptext {\\n visibility: visible;\\n}\\n\\n\\n\\n.bk button.clear_btn:hover .shown { display: none;}\\n.bk button.clear_btn:hover:before { content: \\\"\\u2611\\\"; }\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\\n.markdown .codehilite {\\n padding: 1rem 1.25rem;\\n margin-top: 1rem;\\n margin-bottom: 1rem;\\n border-radius: 0.25rem;\\n}\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\".bk.pn-loading {\\n overflow: hidden;\\n}\\n.bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n.bk.pn-loading .pn-loading-msg {\\n position: absolute;\\n top: 72%;\\n font-size: 2em;\\n color: black;\\n width: 100%;\\n text-align: center;\\n}\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\".bk.alert {\\n padding: 0.75rem 1.25rem;\\n border: 1px solid transparent;\\n border-radius: 0.25rem;\\n /* Don't set margin because that will not render correctly! */\\n /* margin-bottom: 1rem; */\\n margin-top: 15px;\\n margin-bottom: 15px;\\n}\\n.bk.alert a {\\n color: rgb(11, 46, 19); /* #002752; */\\n font-weight: 700;\\n text-decoration: rgb(11, 46, 19);\\n text-decoration-color: rgb(11, 46, 19);\\n text-decoration-line: none;\\n text-decoration-style: solid;\\n text-decoration-thickness: auto;\\n }\\n.bk.alert a:hover {\\n color: rgb(11, 46, 19);\\n font-weight: 700;\\n text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n color: #004085;\\n background-color: #cce5ff;\\n border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n color: #383d41;\\n background-color: #e2e3e5;\\n border-color: #d6d8db;\\n }\\n.bk.alert-secondary hr {\\n border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n color: #155724;\\n background-color: #d4edda;\\n border-color: #c3e6cb;\\n }\\n\\n.bk.alert-success hr {\\n border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n color: #0c5460;\\n background-color: #d1ecf1;\\n border-color: #bee5eb;\\n }\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\".bk.card {\\n border: 1px solid rgba(0,0,0,.125);\\n border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0.25rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.accordion-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0;\\n display: flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.card-button {\\n background-color: transparent;\\n margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n position: relative !important;\\n}\\n.bk.card-title {\\n align-items: center;\\n font-size: 1.4em;\\n font-weight: bold;\\n overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n overflow-wrap: break-word;\\n text-align: center;\\n}\\n\");\n",
" }, function(Bokeh) {\n",
" inject_raw_css(\"\\n .bk.pn-loading.arc:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n }\\n \");\n",
" }, function(Bokeh) {\n",
" /* BEGIN bokeh.min.js */\n",
" /*!\n",
" * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n",
" * All rights reserved.\n",
" * \n",
" * Redistribution and use in source and binary forms, with or without modification,\n",
" * are permitted provided that the following conditions are met:\n",
" * \n",
" * Redistributions of source code must retain the above copyright notice,\n",
" * this list of conditions and the following disclaimer.\n",
" * \n",
" * Redistributions in binary form must reproduce the above copyright notice,\n",
" * this list of conditions and the following disclaimer in the documentation\n",
" * and/or other materials provided with the distribution.\n",
" * \n",
" * Neither the name of Anaconda nor the names of any contributors\n",
" * may be used to endorse or promote products derived from this software\n",
" * without specific prior written permission.\n",
" * \n",
" * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
" * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
" * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
" * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
" * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
" * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
" * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
" * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
" * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
" * THE POSSIBILITY OF SUCH DAMAGE.\n",
" */\n",
" (function(root, factory) {\n",
" const bokeh = factory();\n",
" bokeh.__bokeh__ = true;\n",
" if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n",
" root.Bokeh = bokeh;\n",
" }\n",
" const Bokeh = root.Bokeh;\n",
" Bokeh[bokeh.version] = bokeh;\n",
" })(this, function() {\n",
" let define;\n",
" const parent_require = typeof require === \"function\" && require\n",
" return (function(modules, entry, aliases, externals) {\n",
" if (aliases === undefined) aliases = {};\n",
" if (externals === undefined) externals = {};\n",
"\n",
" const cache = {};\n",
"\n",
" const normalize = function(name) {\n",
" if (typeof name === \"number\")\n",
" return name;\n",
"\n",
" if (name === \"bokehjs\")\n",
" return entry;\n",
"\n",
" if (!externals[name]) {\n",
" const prefix = \"@bokehjs/\"\n",
" if (name.slice(0, prefix.length) === prefix)\n",
" name = name.slice(prefix.length)\n",
" }\n",
"\n",
" const alias = aliases[name]\n",
" if (alias != null)\n",
" return alias;\n",
"\n",
" const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
" const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
" if (index != null)\n",
" return index;\n",
"\n",
" return name;\n",
" }\n",
"\n",
" const require = function(name) {\n",
" let mod = cache[name];\n",
" if (!mod) {\n",
" const id = normalize(name);\n",
"\n",
" mod = cache[id];\n",
" if (!mod) {\n",
" if (!modules[id]) {\n",
" if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
" try {\n",
" mod = {exports: externals[id] ? parent_require(id) : {}};\n",
" cache[id] = cache[name] = mod;\n",
" return mod.exports;\n",
" } catch (e) {}\n",
" }\n",
"\n",
" const err = new Error(\"Cannot find module '\" + name + \"'\");\n",
" err.code = 'MODULE_NOT_FOUND';\n",
" throw err;\n",
" }\n",
"\n",
" mod = {exports: {}};\n",
" cache[id] = cache[name] = mod;\n",
"\n",
" function __esModule() {\n",
" Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n",
" }\n",
"\n",
" function __esExport(name, value) {\n",
" Object.defineProperty(mod.exports, name, {\n",
" enumerable: true, get: function () { return value; }\n",
" });\n",
" }\n",
"\n",
" modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n",
" } else {\n",
" cache[name] = mod;\n",
" }\n",
" }\n",
"\n",
" return mod.exports;\n",
" }\n",
" require.resolve = function(name) {\n",
" return \"\"\n",
" }\n",
"\n",
" const main = require(entry);\n",
" main.require = require;\n",
"\n",
" if (typeof Proxy !== \"undefined\") {\n",
" // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
" main.loader = new Proxy({}, {\n",
" get: function(_obj, module) {\n",
" return require(module);\n",
" }\n",
" });\n",
" }\n",
"\n",
" main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
" if (plugin_aliases === undefined) plugin_aliases = {};\n",
" if (plugin_externals === undefined) plugin_externals = {};\n",
"\n",
" for (let name in plugin_modules) {\n",
" modules[name] = plugin_modules[name];\n",
" }\n",
"\n",
" for (let name in plugin_aliases) {\n",
" aliases[name] = plugin_aliases[name];\n",
" }\n",
"\n",
" for (let name in plugin_externals) {\n",
" externals[name] = plugin_externals[name];\n",
" }\n",
"\n",
" const plugin = require(plugin_entry);\n",
"\n",
" for (let name in plugin) {\n",
" main[name] = plugin[name];\n",
" }\n",
"\n",
" return plugin;\n",
" }\n",
"\n",
" return main;\n",
" })\n",
" ([\n",
" function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(2),n)},\n",
" function _(t,e,r,n,o){n();var a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},a(t,e)};r.__extends=function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)};function i(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function c(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,a=r.call(t),i=[];try{for(;(void 0===e||e-- 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models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(_.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new 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t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),_=E._resolve_refs(r,t,s,o);l.setv(_,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),a=(0,g.intersection)(n,i),c=[];for(const e of r)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):\"data\"==n||(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(r.sort(),a.sort(),(0,g.difference)(r,a).length>0||(0,g.difference)(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?_.logger.debug(o):(_.logger.warn(\"JS/Python version mismatch\"),_.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,a=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});h._push_all_models_freeze();for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return h._pop_all_models_freeze(),h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw _.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,_=E._resolve_refs(e.new,r,l,t);n.setv({[i]:_},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n",
" function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)},s.Models.get=e=>{var o;return null!==(o=s.overrides[e])&&void 0!==o?o:a.get(e)},s.Models.register=(e,o)=>{s.overrides[e]=o},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,o=!1,s)=>{var r;if(null!=e)for(const t of(0,i.isArray)(e)?e:(0,d.values)(e))if(r=t,(0,i.isObject)(r)&&r.prototype instanceof n.HasProps){const e=t.__qualified__;o||!a.has(e)?a.set(e,t):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>[...a.keys()];class _{constructor(){this._known_models=new Map}get(e,o){var r;const t=null!==(r=s.Models.get(e))&&void 0!==r?r:this._known_models.get(e);if(null!=t)return t;if(void 0!==o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)}register(e){const o=e.__qualified__;null==this.get(o,null)?this._known_models.set(o,e):console.warn(`Model '${o}' was already registered with this resolver`)}}s.ModelResolver=_,_.__name__=\"ModelResolver\";const g=(0,l.__importStar)(e(38));(0,s.register_models)(g);const u=(0,l.__importStar)(e(392));(0,s.register_models)(u)},\n",
" function _(n,t,r,e,i){e();\n",
" // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
" // Underscore may be freely distributed under the MIT license.\n",
" const o=n(9),u=Object.prototype.toString;function c(n){return!0===n||!1===n||\"[object Boolean]\"===u.call(n)}function f(n){return\"[object Number]\"===u.call(n)}function l(n){return\"[object String]\"===u.call(n)}function s(n){return\"symbol\"==typeof n}function a(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}function b(n){return a(n)&&void 0!==n[Symbol.iterator]}r.isBoolean=c,r.isNumber=f,r.isInteger=function(n){return f(n)&&Number.isInteger(n)},r.isString=l,r.isSymbol=s,r.isPrimitive=function(n){return null===n||c(n)||f(n)||l(n)||s(n)},r.isFunction=function(n){return\"[object Function]\"===u.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return(0,o.every)(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=a,r.isPlainObject=function(n){return a(n)&&(null==n.constructor||n.constructor===Object)},r.isIterable=b,r.isArrayable=function(n){return b(n)&&\"length\"in n}},\n",
" function _(n,t,e,r,o){r();\n",
" // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
" // Underscore may be freely distributed under the MIT license.\n",
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" function _(e,t,s,n,r){n();const i=e(1);var o;const c=e(15),a=e(17),_=(0,i.__importStar)(e(18)),h=(0,i.__importStar)(e(21)),u=e(34),l=e(13),f=e(8),p=e(26),d=e(30),g=e(35),y=e(26),v=e(36),m=e(37),b=(0,i.__importStar)(e(21));class w extends((0,c.Signalable)()){constructor(e={}){var t,s;super(),this._subtype=void 0,this.document=null,this.destroyed=new c.Signal0(this,\"destroyed\"),this.change=new c.Signal0(this,\"change\"),this.transformchange=new c.Signal0(this,\"transformchange\"),this.exprchange=new c.Signal0(this,\"exprchange\"),this.properties={},this._watchers=new WeakMap,this._pending=!1,this._changing=!1;const n=e instanceof Map?e.get.bind(e):t=>e[t];this.id=null!==(t=n(\"id\"))&&void 0!==t?t:(0,u.uniqueId)();for(const[e,{type:t,default_value:s,options:r}]of(0,l.entries)(this._props)){let i;t instanceof _.PropertyAlias?Object.defineProperty(this.properties,e,{get:()=>this.properties[t.attr],configurable:!1,enumerable:!1}):(i=t instanceof h.Kind?new _.PrimitiveProperty(this,e,t,s,n(e),r):new t(this,e,h.Any,s,n(e),r),this.properties[e]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static get[Symbol.toStringTag](){return this.__name__}static _fix_default(e,t){if(void 0===e||(0,f.isFunction)(e))return e;if((0,f.isPrimitive)(e))return()=>e;{const t=new m.Cloner;return()=>t.clone(e)}}static define(e){for(const[t,s]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,n,r={}]=s,i={type:e,default_value:this._fix_default(n,t),options:r},o=Object.assign({},this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,n]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){const[e,r,i={}]=n;t[s]=[e,r,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e,t){const s={};for(const[n,r]of(0,l.entries)(t))s[e+n]=r;return s}const s={},n=[];for(const r of(0,f.isArray)(e)?e:[e])if((0,f.isArray)(r)){const[e,i]=r;(0,l.extend)(s,t(e,i)),n.push([e,i])}else{const e=r;(0,l.extend)(s,e),n.push([\"\",e])}this.define(s),this.prototype._mixins=[...this.prototype._mixins,...n]}static override(e){for(const[t,s]of(0,l.entries)(e)){const e=this._fix_default(s,t),n=this.prototype._props[t];if(null==n)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const r=Object.assign({},this.prototype._props);r[t]=Object.assign(Object.assign({},n),{default_value:e}),this.prototype._props=r}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}[m.clone](e){const t=new Map;for(const s of this)s.dirty&&t.set(s.attr,e.clone(s.get_value()));return new this.constructor(t)}[y.equals](e,t){for(const s of this){const n=e.property(s.attr);if(!t.eq(s.get_value(),n.get_value()))return!1}return!0}[v.pretty](e){const t=e.token,s=[];for(const n of this)if(n.dirty){const r=n.get_value();s.push(`${n.attr}${t(\":\")} ${e.to_string(r)}`)}return`${this.constructor.__qualified__}${t(\"(\")}${t(\"{\")}${s.join(`${t(\",\")} `)}${t(\"}\")}${t(\")\")}`}[d.serialize](e){const t=this.ref();e.add_ref(this,t);const s=this.struct();for(const t of this)t.syncable&&(e.include_defaults||t.dirty)&&(s.attributes[t.attr]=e.to_serializable(t.get_value()));return e.add_def(this,s),t}finalize(){for(const e of this){if(!(e instanceof _.VectorSpec||e instanceof _.ScalarSpec))continue;const t=e.get_value();if(null!=t){const{transform:e,expr:s}=t;null!=e&&this.connect(e.change,(()=>this.transformchange.emit())),null!=s&&this.connect(s.change,(()=>this.exprchange.emit()))}}this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){c.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return(new m.Cloner).clone(this)}changed_for(e){const t=this._watchers.get(e);return this._watchers.set(e,!1),null==t||t}_setv(e,t){const s=t.check_eq,n=[],r=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&(0,p.is_equal)(t.get_value(),r)||(t.set_value(r),n.push(t));n.length>0&&(this._watchers=new WeakMap,this._pending=!0);for(const e of n)e.change.emit();if(!r){if(!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){const s=(0,l.entries)(e);if(0==s.length)return;if(!0===t.silent){this._watchers=new WeakMap;for(const[e,t]of s)this.properties[e].set_value(t);return}const n=new Map,r=new Map;for(const[e,t]of s){const s=this.properties[e];n.set(s,t),r.set(s,s.get_value())}this._setv(n,t);const{document:i}=this;if(null!=i){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){i._invalidate_all_models();break}this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){yield*(0,l.values)(this.properties)}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _json_record_references(e,t,s,n){const{recursive:r}=n;if((0,a.is_ref)(t)){const n=e.get_model_by_id(t.id);null==n||s.has(n)||w._value_record_references(n,s,{recursive:r})}else if((0,f.isArray)(t))for(const n of t)w._json_record_references(e,n,s,{recursive:r});else if((0,f.isPlainObject)(t))for(const n of(0,l.values)(t))w._json_record_references(e,n,s,{recursive:r})}static _value_record_references(e,t,s){const{recursive:n}=s;if(e instanceof w){if(!t.has(e)&&(t.add(e),n))for(const s of e.syncable_properties()){const e=s.get_value();w._value_record_references(e,t,{recursive:n})}}else if((0,f.isArray)(e))for(const s of e)w._value_record_references(s,t,{recursive:n});else if((0,f.isPlainObject)(e))for(const s of(0,l.values)(e))w._value_record_references(s,t,{recursive:n})}references(){const e=new Set;return w._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;w._value_record_references(t,s,{recursive:!1});const n=new Set;w._value_record_references(e,n,{recursive:!1});for(const e of s)if(!n.has(e))return!0;for(const e of n)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){if(!this.is_syncable)return;const{document:s}=this;if(null==s)return;const{setter_id:n}=t,r=[];for(const[t,i,o]of e)t.syncable&&r.push(new g.ModelChangedEvent(s,this,t.attr,i,o,n));if(0!=r.length){let e;1==r.length?[e]=r:e=new g.DocumentEventBatch(s,r,n),s._trigger_on_change(e)}}on_change(e,t){for(const s of(0,f.isArray)(e)?e:[e])this.connect(s.change,t)}}s.HasProps=w,(o=w).prototype._props={},o.prototype._mixins=[]},\n",
" function _(n,t,e,l,s){l();const i=n(16),o=n(9);class c{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){u.has(this.sender)||u.set(this.sender,[]);const e=u.get(this.sender);if(null!=g(e,this,n,t))return!1;const l=null!=t?t:n;a.has(l)||a.set(l,[]);const s=a.get(l),i={signal:this,slot:n,context:t};return e.push(i),s.push(i),!0}disconnect(n,t=null){const e=u.get(this.sender);if(null==e||0===e.length)return!1;const l=g(e,this,n,t);if(null==l)return!1;const s=null!=t?t:n,i=a.get(s);return l.signal=null,d(e),d(i),!0}emit(n){var t;const e=null!==(t=u.get(this.sender))&&void 0!==t?t:[];for(const{signal:t,slot:l,context:s}of e)t===this&&l.call(s,n,this.sender)}}e.Signal=c,c.__name__=\"Signal\";class r extends c{emit(){super.emit(void 0)}}e.Signal0=r,r.__name__=\"Signal0\",function(n){function t(n,t){const e=u.get(n);if(null==e||0===e.length)return;const l=a.get(t);if(null!=l&&0!==l.length){for(const t of l){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}d(e),d(l)}}function e(n){var t;const e=u.get(n);if(null!=e&&0!==e.length){for(const n of e){if(null==n.signal)return;const e=null!==(t=n.context)&&void 0!==t?t:n.slot;n.signal=null,d(a.get(e))}d(e)}}function l(n,t,e){const l=a.get(n);if(null!=l&&0!==l.length){for(const n of l){if(null==n.signal)return;if(null!=t&&n.slot!=t)continue;const l=n.signal.sender;null!=e&&e.has(l)||(n.signal=null,d(u.get(l)))}d(l)}}function s(n){const t=u.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;d(t)}const e=a.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;d(e)}}n.disconnect_between=t,n.disconnect_sender=e,n.disconnect_receiver=l,n.disconnect_all=s,n.disconnectBetween=t,n.disconnectSender=e,n.disconnectReceiver=l,n.disconnectAll=s}(c||(e.Signal=c={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const u=new WeakMap,a=new WeakMap;function g(n,t,e,l){return(0,o.find)(n,(n=>n.signal===t&&n.slot===e&&n.context===l))}const f=new Set;function d(n){0===f.size&&(async()=>{await(0,i.defer)(),function(){for(const n of f)(0,o.remove_by)(n,(n=>null==n.signal));f.clear()}()})(),f.add(n)}},\n",
" function _(e,n,t,s,o){s();const r=new MessageChannel,a=new Map;r.port1.onmessage=e=>{const n=e.data,t=a.get(n);if(null!=t)try{t()}finally{a.delete(n)}};let i=1;t.defer=function(){return new Promise((e=>{const n=i++;a.set(n,e),r.port2.postMessage(n)}))},t.wait=function(e){return new Promise((n=>setTimeout(n,e)))}},\n",
" function _(n,t,i,e,c){e();const r=n(8),s=n(13);i.is_ref=function(n){if((0,r.isPlainObject)(n)){const t=(0,s.keys)(n);return 1==t.length&&\"id\"==t[0]}return!1}},\n",
" function _(e,t,n,r,a){r(),n.YCoordinateSeqSeqSeqSpec=n.XCoordinateSeqSeqSeqSpec=n.YCoordinateSeqSpec=n.XCoordinateSeqSpec=n.YCoordinateSpec=n.XCoordinateSpec=n.CoordinateSeqSeqSeqSpec=n.CoordinateSeqSpec=n.CoordinateSpec=n.BaseCoordinateSpec=n.NumberUnitsSpec=n.UnitsSpec=n.DataSpec=n.VectorSpec=n.TextBaselineScalar=n.TextAlignScalar=n.FontStyleScalar=n.FontSizeScalar=n.FontScalar=n.LineDashScalar=n.LineCapScalar=n.LineJoinScalar=n.ArrayScalar=n.NullStringScalar=n.StringScalar=n.NumberScalar=n.ColorScalar=n.AnyScalar=n.ScalarSpec=n.VerticalAlign=n.UpdateMode=n.TooltipAttachment=n.TickLabelOrientation=n.TextureRepetition=n.TextBaseline=n.TextAlign=n.TapBehavior=n.StepMode=n.StartEnd=n.SpatialUnits=n.Sort=n.SizingMode=n.Side=n.RoundingFunction=n.ResetPolicy=n.RenderMode=n.RenderLevel=n.RadiusDimension=n.PointPolicy=n.Place=void 0,n.TextBaselineSpec=n.TextAlignSpec=n.FontStyleSpec=n.FontSizeSpec=n.FontSpec=n.LineDashSpec=n.LineCapSpec=n.LineJoinSpec=n.MarkerSpec=n.ArraySpec=n.NullStringSpec=n.StringSpec=n.AnySpec=n.NDArraySpec=n.ColorSpec=n.ScreenSizeSpec=n.NumberSpec=n.IntSpec=n.BooleanSpec=n.NullDistanceSpec=n.DistanceSpec=n.AngleSpec=void 0;const i=e(1),s=e(15),l=e(19),o=(0,i.__importStar)(e(20)),c=e(24),_=e(9),u=e(12),d=e(10),S=e(22),p=e(27),m=e(8),h=e(28),v=e(29),y=e(33);function x(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function g(e){return(0,m.isPlainObject)(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}a(\"Uniform\",y.Uniform),a(\"UniformScalar\",y.UniformScalar),a(\"UniformVector\",y.UniformVector),n.isSpec=g;class f{constructor(e,t,n,r,a,i={}){var l;let o;if(this.obj=e,this.attr=t,this.kind=n,this.default_value=r,this._dirty=!1,this.change=new s.Signal0(this.obj,\"change\"),this.internal=null!==(l=i.internal)&&void 0!==l&&l,this.convert=i.convert,this.on_update=i.on_update,void 0!==a)o=a,this._dirty=!0;else{const t=this._default_override();if(void 0!==t)o=t;else{if(void 0===r)return void(this.spec={value:null});o=r(e)}}this._update(o)}get is_value(){return void 0!==this.spec.value}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){var t;if(this.validate(e),null!=this.convert){const t=this.convert(e);void 0!==t&&(e=t)}this.spec={value:e},null===(t=this.on_update)||void 0===t||t.call(this,e,this.obj)}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${x(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj}.${this.attr} given invalid value: ${x(e)}`)}valid(e){return this.kind.valid(e)}_value(e=!0){if(!this.is_value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=f,f.__name__=\"Property\";class A{constructor(e){this.attr=e}}n.PropertyAlias=A,A.__name__=\"PropertyAlias\",n.Alias=function(e){return new A(e)};class C extends f{}n.PrimitiveProperty=C,C.__name__=\"PrimitiveProperty\";class T extends f{}n.Any=T,T.__name__=\"Any\";class L extends f{valid(e){return(0,m.isArray)(e)||(0,m.isTypedArray)(e)}}n.Array=L,L.__name__=\"Array\";class w extends f{valid(e){return(0,m.isBoolean)(e)}}n.Boolean=w,w.__name__=\"Boolean\";class P extends f{valid(e){return(0,S.is_Color)(e)}}n.Color=P,P.__name__=\"Color\";class b extends f{}n.Instance=b,b.__name__=\"Instance\";class q extends f{valid(e){return(0,m.isNumber)(e)}}n.Number=q,q.__name__=\"Number\";class N extends q{valid(e){return(0,m.isNumber)(e)&&(0|e)==e}}n.Int=N,N.__name__=\"Int\";class z extends q{}n.Angle=z,z.__name__=\"Angle\";class B extends q{valid(e){return(0,m.isNumber)(e)&&0<=e&&e<=1}}n.Percent=B,B.__name__=\"Percent\";class F extends f{valid(e){return(0,m.isString)(e)}}n.String=F,F.__name__=\"String\";class D extends f{valid(e){return null===e||(0,m.isString)(e)}}n.NullString=D,D.__name__=\"NullString\";class U extends F{}n.FontSize=U,U.__name__=\"FontSize\";class M extends F{_default_override(){return h.settings.dev?\"Bokeh\":void 0}}n.Font=M,M.__name__=\"Font\";class R extends f{valid(e){return(0,m.isString)(e)&&(0,_.includes)(this.enum_values,e)}}function k(e){return class extends R{get enum_values(){return[...e]}}}n.EnumProperty=R,R.__name__=\"EnumProperty\",n.Enum=k;class O extends R{get enum_values(){return[...o.Direction]}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return t}}n.Direction=O,O.__name__=\"Direction\",n.Anchor=k(o.Anchor),n.AngleUnits=k(o.AngleUnits),n.BoxOrigin=k(o.BoxOrigin),n.ButtonType=k(o.ButtonType),n.CalendarPosition=k(o.CalendarPosition),n.Dimension=k(o.Dimension),n.Dimensions=k(o.Dimensions),n.Distribution=k(o.Distribution),n.FontStyle=k(o.FontStyle),n.HatchPatternType=k(o.HatchPatternType),n.HTTPMethod=k(o.HTTPMethod),n.HexTileOrientation=k(o.HexTileOrientation),n.HoverMode=k(o.HoverMode),n.LatLon=k(o.LatLon),n.LegendClickPolicy=k(o.LegendClickPolicy),n.LegendLocation=k(o.LegendLocation),n.LineCap=k(o.LineCap),n.LineJoin=k(o.LineJoin),n.LinePolicy=k(o.LinePolicy),n.Location=k(o.Location),n.Logo=k(o.Logo),n.MarkerType=k(o.MarkerType),n.MutedPolicy=k(o.MutedPolicy),n.Orientation=k(o.Orientation),n.OutputBackend=k(o.OutputBackend),n.PaddingUnits=k(o.PaddingUnits),n.Place=k(o.Place),n.PointPolicy=k(o.PointPolicy),n.RadiusDimension=k(o.RadiusDimension),n.RenderLevel=k(o.RenderLevel),n.RenderMode=k(o.RenderMode),n.ResetPolicy=k(o.ResetPolicy),n.RoundingFunction=k(o.RoundingFunction),n.Side=k(o.Side),n.SizingMode=k(o.SizingMode),n.Sort=k(o.Sort),n.SpatialUnits=k(o.SpatialUnits),n.StartEnd=k(o.StartEnd),n.StepMode=k(o.StepMode),n.TapBehavior=k(o.TapBehavior),n.TextAlign=k(o.TextAlign),n.TextBaseline=k(o.TextBaseline),n.TextureRepetition=k(o.TextureRepetition),n.TickLabelOrientation=k(o.TickLabelOrientation),n.TooltipAttachment=k(o.TooltipAttachment),n.UpdateMode=k(o.UpdateMode),n.VerticalAlign=k(o.VerticalAlign);class E extends f{get_value(){const{value:e,expr:t,transform:n}=this.spec;return null!=t||null!=n?this.spec:e}_update(e){g(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}materialize(e){return e}scalar(e,t){return new y.UniformScalar(e,t)}uniform(e){var t;const{expr:n,value:r,transform:a}=this.spec,i=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=n){let t=n.compute(e);return null!=a&&(t=a.compute(t)),t=this.materialize(t),this.scalar(t,i)}{let e=r;return null!=a&&(e=a.compute(e)),e=this.materialize(e),this.scalar(e,i)}}}n.ScalarSpec=E,E.__name__=\"ScalarSpec\";class V extends E{}n.AnyScalar=V,V.__name__=\"AnyScalar\";class $ extends E{}n.ColorScalar=$,$.__name__=\"ColorScalar\";class I extends E{}n.NumberScalar=I,I.__name__=\"NumberScalar\";class J extends E{}n.StringScalar=J,J.__name__=\"StringScalar\";class X extends E{}n.NullStringScalar=X,X.__name__=\"NullStringScalar\";class Y extends E{}n.ArrayScalar=Y,Y.__name__=\"ArrayScalar\";class H extends E{}n.LineJoinScalar=H,H.__name__=\"LineJoinScalar\";class j extends E{}n.LineCapScalar=j,j.__name__=\"LineCapScalar\";class G extends E{}n.LineDashScalar=G,G.__name__=\"LineDashScalar\";class K extends E{_default_override(){return h.settings.dev?\"Bokeh\":void 0}}n.FontScalar=K,K.__name__=\"FontScalar\";class Q extends E{}n.FontSizeScalar=Q,Q.__name__=\"FontSizeScalar\";class W extends E{}n.FontStyleScalar=W,W.__name__=\"FontStyleScalar\";class Z extends E{}n.TextAlignScalar=Z,Z.__name__=\"TextAlignScalar\";class ee extends E{}n.TextBaselineScalar=ee,ee.__name__=\"TextBaselineScalar\";class te extends f{get_value(){return null===this.spec.value?null:this.spec}_update(e){g(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}materialize(e){return e}v_materialize(e){return e}scalar(e,t){return new y.UniformScalar(e,t)}vector(e){return new y.UniformVector(e)}uniform(e){var t;const{field:n,expr:r,value:a,transform:i}=this.spec,s=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=n){let t=e.get_column(n);return null!=t?(null!=i&&(t=i.v_compute(t)),t=this.v_materialize(t),this.vector(t)):(l.logger.warn(`attempted to retrieve property array for nonexistent field '${n}'`),this.scalar(null,s))}if(null!=r){let t=r.v_compute(e);return null!=i&&(t=i.v_compute(t)),t=this.v_materialize(t),this.vector(t)}{let e=a;return null!=i&&(e=i.compute(e)),e=this.materialize(e),this.scalar(e,s)}}array(e){var t;let n;const r=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=this.spec.field){const t=e.get_column(this.spec.field);if(null!=t)n=this.normalize(t);else{l.logger.warn(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`);const e=new Float64Array(r);e.fill(NaN),n=e}}else if(null!=this.spec.expr)n=this.normalize(this.spec.expr.v_compute(e));else{const e=this._value(!1);if((0,m.isNumber)(e)){const t=new Float64Array(r);t.fill(e),n=t}else n=(0,_.repeat)(e,r)}return null!=this.spec.transform&&(n=this.spec.transform.v_compute(n)),n}}n.VectorSpec=te,te.__name__=\"VectorSpec\";class ne extends te{}n.DataSpec=ne,ne.__name__=\"DataSpec\";class re extends te{_update(e){super._update(e);const{units:t}=this.spec;if(null!=t&&!(0,_.includes)(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; got: ${t}`)}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:this.default_units}set units(e){e!=this.default_units?this.spec.units=e:delete this.spec.units}}n.UnitsSpec=re,re.__name__=\"UnitsSpec\";class ae extends re{array(e){return new Float64Array(super.array(e))}}n.NumberUnitsSpec=ae,ae.__name__=\"NumberUnitsSpec\";class ie extends ne{}n.BaseCoordinateSpec=ie,ie.__name__=\"BaseCoordinateSpec\";class se extends ie{}n.CoordinateSpec=se,se.__name__=\"CoordinateSpec\";class le extends ie{}n.CoordinateSeqSpec=le,le.__name__=\"CoordinateSeqSpec\";class oe extends 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if((\"float32\"==e.dtype||\"float64\"==e.dtype)&&2==e.dimension){const[t,n]=e.shape;if(3==n||4==n){const r=new c.RGBAArray(4*t);for(let a=0,i=0;a<n*t;)r[i++]=255*e[a++],r[i++]=255*e[a++],r[i++]=255*e[a++],r[i++]=255*(3==n?1:e[a++]);return new c.ColorArray(r.buffer)}}throw new Error(\"invalid color array\")}vector(e){return new y.ColorUniformVector(e)}}n.ColorSpec=Ae,Ae.__name__=\"ColorSpec\";class Ce extends ne{}n.NDArraySpec=Ce,Ce.__name__=\"NDArraySpec\";class Te extends ne{}n.AnySpec=Te,Te.__name__=\"AnySpec\";class Le extends ne{}n.StringSpec=Le,Le.__name__=\"StringSpec\";class we extends ne{}n.NullStringSpec=we,we.__name__=\"NullStringSpec\";class Pe extends ne{}n.ArraySpec=Pe,Pe.__name__=\"ArraySpec\";class be extends ne{}n.MarkerSpec=be,be.__name__=\"MarkerSpec\";class qe extends ne{}n.LineJoinSpec=qe,qe.__name__=\"LineJoinSpec\";class Ne extends ne{}n.LineCapSpec=Ne,Ne.__name__=\"LineCapSpec\";class ze extends ne{}n.LineDashSpec=ze,ze.__name__=\"LineDashSpec\";class Be extends ne{_default_override(){return h.settings.dev?\"Bokeh\":void 0}}n.FontSpec=Be,Be.__name__=\"FontSpec\";class Fe extends ne{}n.FontSizeSpec=Fe,Fe.__name__=\"FontSizeSpec\";class De extends ne{}n.FontStyleSpec=De,De.__name__=\"FontStyleSpec\";class Ue extends ne{}n.TextAlignSpec=Ue,Ue.__name__=\"TextAlignSpec\";class Me extends ne{}n.TextBaselineSpec=Me,Me.__name__=\"TextBaselineSpec\"},\n",
" function _(e,l,o,n,t){n();const s=e(8),g=e(13),r={};class i{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=i,i.__name__=\"LogLevel\";class v{constructor(e,l=v.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(v.log_levels)}static get(e,l=v.INFO){if(e.length>0){let o=r[e];return null==o&&(r[e]=o=new v(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof i)this._log_level=e;else{if(!(0,s.isString)(e)||null==v.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=v.log_levels[e]}const l=`[${this._name}]`;for(const[e,o]of(0,g.entries)(v.log_levels))o.level<this._log_level.level||this._log_level.level===v.OFF.level?this[e]=function(){}:this[e]=_(e,l)}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function _(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function c(e){const l=o.logger.level;return(0,s.isString)(e)&&null==v.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(`[bokeh] valid log levels are: ${v.levels.join(\", \")}`)):(console.log(`[bokeh] setting log level to: '${(0,s.isString)(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=v,v.__name__=\"Logger\",v.TRACE=new i(\"trace\",0),v.DEBUG=new i(\"debug\",1),v.INFO=new i(\"info\",2),v.WARN=new i(\"warn\",6),v.ERROR=new i(\"error\",7),v.FATAL=new i(\"fatal\",8),v.OFF=new i(\"off\",9),v.log_levels={trace:v.TRACE,debug:v.DEBUG,info:v.INFO,warn:v.WARN,error:v.ERROR,fatal:v.FATAL,off:v.OFF},o.logger=v.get(\"bokeh\"),o.set_log_level=c,o.with_log_level=function(e,l){const o=c(e);try{l()}finally{c(o)}}},\n",
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" function _(e,n,t,s,r){s();const i=(0,e(1).__importStar)(e(8)),a=e(22),l=e(13),_=window.Map,{hasOwnProperty:u}=Object.prototype;class d{}t.Kind=d,d.__name__=\"Kind\",function(e){class n extends d{valid(e){return!0}}n.__name__=\"Any\",e.Any=n;class t extends d{valid(e){return!0}}t.__name__=\"Unknown\",e.Unknown=t;class s extends d{valid(e){return i.isBoolean(e)}}s.__name__=\"Boolean\",e.Boolean=s;class r extends d{constructor(e){super(),this.obj_type=e}valid(e){return!0}}r.__name__=\"Ref\",e.Ref=r;class c extends d{valid(e){return!0}}c.__name__=\"AnyRef\",e.AnyRef=c;class o extends d{valid(e){return i.isNumber(e)}}o.__name__=\"Number\",e.Number=o;class p extends o{valid(e){return super.valid(e)&&i.isInteger(e)}}p.__name__=\"Int\",e.Int=p;class y extends o{valid(e){return super.valid(e)&&0<=e&&e<=1}}y.__name__=\"Percent\",e.Percent=y;class m extends d{constructor(e){super(),this.types=e,this.types=e}valid(e){return this.types.some((n=>n.valid(e)))}}m.__name__=\"Or\",e.Or=m;class v extends d{constructor(e){super(),this.types=e,this.types=e}valid(e){if(!i.isArray(e))return!1;for(let n=0;n<this.types.length;n++){const t=this.types[n],s=e[n];if(!t.valid(s))return!1}return!0}}v.__name__=\"Tuple\",e.Tuple=v;class w extends d{constructor(e){super(),this.struct_type=e}valid(e){if(!i.isPlainObject(e))return!1;const{struct_type:n}=this;if((0,l.size)(n)!=(0,l.size)(e))return!1;for(const t in n)if(u.call(n,t)){if(!u.call(e,t))return!1;const s=n[t],r=e[t];if(!s.valid(r))return!1}return!0}}w.__name__=\"Struct\",e.Struct=w;class h extends d{valid(e){return i.isArray(e)||i.isTypedArray(e)}}h.__name__=\"Arrayable\",e.Arrayable=h;class f extends d{constructor(e){super(),this.item_type=e}valid(e){return i.isArray(e)&&e.every((e=>this.item_type.valid(e)))}}f.__name__=\"Array\",e.Array=f;class K extends d{valid(e){return null===e}}K.__name__=\"Null\",e.Null=K;class b extends d{constructor(e){super(),this.base_type=e}valid(e){return null===e||this.base_type.valid(e)}}b.__name__=\"Nullable\",e.Nullable=b;class A extends d{constructor(e){super(),this.base_type=e}valid(e){return void 0===e||this.base_type.valid(e)}}A.__name__=\"Opt\",e.Opt=A;class x extends d{valid(e){return i.isString(e)}}x.__name__=\"String\",e.String=x;class S extends d{constructor(e){super(),this.values=new Set(e)}valid(e){return this.values.has(e)}*[Symbol.iterator](){yield*this.values}}S.__name__=\"Enum\",e.Enum=S;class N extends d{constructor(e){super(),this.item_type=e}valid(e){if(!i.isPlainObject(e))return!1;for(const n in e)if(u.call(e,n)){const t=e[n];if(!this.item_type.valid(t))return!1}return!0}}N.__name__=\"Dict\",e.Dict=N;class O extends d{constructor(e,n){super(),this.key_type=e,this.item_type=n}valid(e){if(!(e instanceof _))return!1;for(const[n,t]of e.entries())if(!this.key_type.valid(n)||!this.item_type.valid(t))return!1;return!0}}O.__name__=\"Map\",e.Map=O;class g extends d{valid(e){return(0,a.is_Color)(e)}}g.__name__=\"Color\",e.Color=g;class P extends d{valid(e){return i.isFunction(e)}}P.__name__=\"Function\",e.Function=P}(t.Kinds||(t.Kinds={})),t.Any=new t.Kinds.Any,t.Unknown=new t.Kinds.Unknown,t.Boolean=new t.Kinds.Boolean,t.Number=new t.Kinds.Number,t.Int=new t.Kinds.Int,t.String=new t.Kinds.String,t.Null=new t.Kinds.Null;t.Nullable=e=>new t.Kinds.Nullable(e);t.Opt=e=>new t.Kinds.Opt(e);t.Or=(...e)=>new t.Kinds.Or(e);t.Tuple=(...e)=>new t.Kinds.Tuple(e);t.Struct=e=>new t.Kinds.Struct(e),t.Arrayable=new t.Kinds.Arrayable;t.Array=e=>new t.Kinds.Array(e);t.Dict=e=>new t.Kinds.Dict(e);t.Map=(e,n)=>new t.Kinds.Map(e,n);t.Enum=(...e)=>new t.Kinds.Enum(e);t.Ref=e=>new t.Kinds.Ref(e);t.AnyRef=()=>new t.Kinds.AnyRef;t.Function=()=>new t.Kinds.Function,t.Percent=new t.Kinds.Percent,t.Alpha=t.Percent,t.Color=new t.Kinds.Color,t.Auto=(0,t.Enum)(\"auto\"),t.FontSize=t.String,t.Font=t.String,t.Angle=t.Number},\n",
" function _(n,t,r,e,s){e();const u=n(23),c=n(10),l=n(8),{round:i}=Math;function o(n){return(0,c.clamp)(i(n),0,255)}function a(){return[0,0,0,0]}function f(n){return[n>>24&255,n>>16&255,n>>8&255,255&n]}function d(n,t){var r;let e,s,u,c;return null==n?[e,s,u,c]=[0,0,0,0]:(0,l.isInteger)(n)?[e,s,u,c]=f(n):(0,l.isString)(n)?[e,s,u,c]=null!==(r=_(n))&&void 0!==r?r:[0,0,0,0]:([e,s,u,c=1]=n,c=o(255*c)),255==c&&null!=t&&(c=o(255*t)),[e,s,u,c]}r.transparent=a,r.encode_rgba=function([n,t,r,e]){return n<<24|t<<16|r<<8|e},r.decode_rgba=f,r.compose_alpha=function(n,t){return 255==(255&n)?4294967040&n|o(255*t):n},r.color2rgba=d;const h={0:\"0\",1:\"1\",2:\"2\",3:\"3\",4:\"4\",5:\"5\",6:\"6\",7:\"7\",8:\"8\",9:\"9\",10:\"a\",11:\"b\",12:\"c\",13:\"d\",14:\"e\",15:\"f\"};function g(n){return h[n>>4]+h[15&n]}r.color2css=function(n,t){const[r,e,s,u]=d(n,t);return`rgba(${r}, ${e}, ${s}, ${u/255})`},r.color2hex=function(n,t){const[r,e,s,u]=d(n,t),c=`#${g(r)}${g(e)}${g(s)}`;return 255==u?c:`${c}${g(u)}`},r.color2hexrgb=function(n){const[t,r,e]=d(n);return`#${g(t)}${g(r)}${g(e)}`};const b=/^rgba?\\(\\s*([^\\s,]+?)\\s+([^\\s,]+?)\\s+([^\\s,]+?)(?:\\s*\\/\\s*([^\\s,]+?))?\\s*\\)$/,$=/^rgba?\\(\\s*([^\\s,]+?)\\s*,\\s*([^\\s,]+?)\\s*,\\s*([^\\s,]+?)(?:\\s*,\\s*([^\\s,]+?))?\\s*\\)$/,m=(()=>{const n=document.createElement(\"canvas\");n.width=1,n.height=1;const t=n.getContext(\"2d\"),r=t.createLinearGradient(0,0,1,1);return n=>{t.fillStyle=r,t.fillStyle=n;const e=t.fillStyle;return e!=r?e:null}})();function _(n){var t;if(!(n=n.trim().toLowerCase()))return null;if(\"transparent\"==n)return[0,0,0,0];if((0,u.is_named_color)(n))return f(u.named_colors[n]);if(\"#\"==n[0]){const t=Number(`0x${n.substr(1)}`);if(isNaN(t))return null;switch(n.length-1){case 3:{const n=t>>8&15,r=t>>4&15,e=t>>0&15;return[n<<4|n,r<<4|r,e<<4|e,255]}case 4:{const n=t>>12&15,r=t>>8&15,e=t>>4&15,s=t>>0&15;return[n<<4|n,r<<4|r,e<<4|e,s<<4|s]}case 6:return[t>>16&255,t>>8&255,t>>0&255,255];case 8:return[t>>24&255,t>>16&255,t>>8&255,t>>0&255]}}else if(n.startsWith(\"rgb\")){const r=null!==(t=n.match(b))&&void 0!==t?t:n.match($);if(null!=r){let[,n,t,e,s=\"1\"]=r;const u=n.endsWith(\"%\"),c=t.endsWith(\"%\"),l=e.endsWith(\"%\"),i=s.endsWith(\"%\");if(!(u&&c&&l)&&(u||c||l))return null;u&&(n=n.slice(0,-1)),c&&(t=t.slice(0,-1)),l&&(e=e.slice(0,-1)),i&&(s=s.slice(0,-1));let a=Number(n),f=Number(t),d=Number(e),h=Number(s);return isNaN(a+f+d+h)?null:(u&&(a=a/100*255),c&&(f=f/100*255),l&&(d=d/100*255),h=255*(i?h/100:h),a=o(a),f=o(f),d=o(d),h=o(h),[a,f,d,h])}}else{const t=m(n);if(null!=t)return _(t)}return null}r.css4_parse=_,r.is_Color=function(n){return!!(0,l.isInteger)(n)||(!(!(0,l.isString)(n)||null==_(n))||!(!(0,l.isArray)(n)||3!=n.length&&4!=n.length))},r.is_dark=function([n,t,r]){return 1-(.299*n+.587*t+.114*r)/255>=.6}},\n",
" function _(e,r,l,a,i){a();l.named_colors={aliceblue:4042850303,antiquewhite:4209760255,aqua:16777215,aquamarine:2147472639,azure:4043309055,beige:4126530815,bisque:4293182719,black:255,blanchedalmond:4293643775,blue:65535,blueviolet:2318131967,brown:2771004159,burlywood:3736635391,cadetblue:1604231423,chartreuse:2147418367,chocolate:3530104575,coral:4286533887,cornflowerblue:1687547391,cornsilk:4294499583,crimson:3692313855,cyan:16777215,darkblue:35839,darkcyan:9145343,darkgoldenrod:3095792639,darkgray:2846468607,darkgreen:6553855,darkgrey:2846468607,darkkhaki:3182914559,darkmagenta:2332068863,darkolivegreen:1433087999,darkorange:4287365375,darkorchid:2570243327,darkred:2332033279,darksalmon:3918953215,darkseagreen:2411499519,darkslateblue:1211993087,darkslategray:793726975,darkslategrey:793726975,darkturquoise:13554175,darkviolet:2483082239,deeppink:4279538687,deepskyblue:12582911,dimgray:1768516095,dimgrey:1768516095,dodgerblue:512819199,firebrick:2988581631,floralwhite:4294635775,forestgreen:579543807,fuchsia:4278255615,gainsboro:3705462015,ghostwhite:4177068031,gold:4292280575,goldenrod:3668254975,gray:2155905279,green:8388863,greenyellow:2919182335,grey:2155905279,honeydew:4043305215,hotpink:4285117695,indianred:3445382399,indigo:1258324735,ivory:4294963455,khaki:4041641215,lavender:3873897215,lavenderblush:4293981695,lawngreen:2096890111,lemonchiffon:4294626815,lightblue:2916673279,lightcoral:4034953471,lightcyan:3774873599,lightgoldenrodyellow:4210742015,lightgray:3553874943,lightgreen:2431553791,lightgrey:3553874943,lightpink:4290167295,lightsalmon:4288707327,lightseagreen:548580095,lightskyblue:2278488831,lightslategray:2005441023,lightslategrey:2005441023,lightsteelblue:2965692159,lightyellow:4294959359,lime:16711935,limegreen:852308735,linen:4210091775,magenta:4278255615,maroon:2147483903,mediumaquamarine:1724754687,mediumblue:52735,mediumorchid:3126187007,mediumpurple:2473647103,mediumseagreen:1018393087,mediumslateblue:2070474495,mediumspringgreen:16423679,mediumturquoise:1221709055,mediumvioletred:3340076543,midnightblue:421097727,mintcream:4127193855,mistyrose:4293190143,moccasin:4293178879,navajowhite:4292783615,navy:33023,oldlace:4260751103,olive:2155872511,olivedrab:1804477439,orange:4289003775,orangered:4282712319,orchid:3664828159,palegoldenrod:4008225535,palegreen:2566625535,paleturquoise:2951671551,palevioletred:3681588223,papayawhip:4293907967,peachpuff:4292524543,peru:3448061951,pink:4290825215,plum:3718307327,powderblue:2967529215,purple:2147516671,rebeccapurple:1714657791,red:4278190335,rosybrown:3163525119,royalblue:1097458175,saddlebrown:2336560127,salmon:4202722047,sandybrown:4104413439,seagreen:780883967,seashell:4294307583,sienna:2689740287,silver:3233857791,skyblue:2278484991,slateblue:1784335871,slategray:1887473919,slategrey:1887473919,snow:4294638335,springgreen:16744447,steelblue:1182971135,tan:3535047935,teal:8421631,thistle:3636451583,tomato:4284696575,turquoise:1088475391,violet:4001558271,wheat:4125012991,white:4294967295,whitesmoke:4126537215,yellow:4294902015,yellowgreen:2597139199},l.is_named_color=function(e){return e in l.named_colors}},\n",
" function _(r,t,n,a,o){a(),n.GeneratorFunction=Object.getPrototypeOf((function*(){})).constructor,n.ColorArray=Uint32Array,n.RGBAArray=Uint8ClampedArray,n.infer_type=function(r,t){return r instanceof Float64Array||r instanceof Array||t instanceof Float64Array||t instanceof Array?Float64Array:Float32Array},n.ScreenArray=Float32Array,n.to_screen=function(r){return r instanceof Float32Array?r:Float32Array.from(r)},o(\"Indices\",r(25).BitSet)},\n",
" function _(t,s,r,e,i){var n;e();const o=t(26),a=t(11);class _{constructor(t,s=0){this.size=t,this[n]=\"BitSet\",this._count=null,this._nwords=Math.ceil(t/32),0==s||1==s?(this._array=new Uint32Array(this._nwords),1==s&&this._array.fill(4294967295)):((0,a.assert)(s.length==this._nwords,\"Initializer size mismatch\"),this._array=s)}clone(){return new _(this.size,new Uint32Array(this._array))}[(n=Symbol.toStringTag,o.equals)](t,s){if(!s.eq(this.size,t.size))return!1;const{_nwords:r}=this,e=this.size%r,i=0==e?r:r-1;for(let s=0;s<i;s++)if(this._array[s]!=t._array[s])return!1;if(0==e)return!0;{const s=1<<e-1,r=s-1^s;return(this._array[i]&r)==(t._array[i]&r)}}static all_set(t){return new _(t,1)}static all_unset(t){return new _(t,0)}static from_indices(t,s){const r=new _(t);for(const t of s)r.set(t);return r}static from_booleans(t,s){const r=new _(t),e=Math.min(t,s.length);for(let t=0;t<e;t++)s[t]&&r.set(t);return r}_check_bounds(t){(0,a.assert)(0<=t&&t<this.size,`Out of bounds: 0 <= ${t} < ${this.size}`)}get(t){this._check_bounds(t);const s=t>>>5,r=31&t;return!!(this._array[s]>>r&1)}set(t,s=!0){this._check_bounds(t),this._count=null;const r=t>>>5,e=31&t;s?this._array[r]|=1<<e:this._array[r]&=~(1<<e)}unset(t){this.set(t,!1)}*[Symbol.iterator](){yield*this.ones()}get count(){let t=this._count;return null==t&&(this._count=t=this._get_count()),t}_get_count(){const{_array:t,_nwords:s,size:r}=this;let e=0;for(let i=0,n=0;n<s;n++){const s=t[n];if(0==s)i+=32;else for(let t=0;t<32&&i<r;t++,i++)s>>>t&1&&(e+=1)}return e}*ones(){const{_array:t,_nwords:s,size:r}=this;for(let e=0,i=0;i<s;i++){const s=t[i];if(0!=s)for(let t=0;t<32&&e<r;t++,e++)s>>>t&1&&(yield e);else e+=32}}*zeros(){const{_array:t,_nwords:s,size:r}=this;for(let e=0,i=0;i<s;i++){const s=t[i];if(4294967295!=s)for(let t=0;t<32&&e<r;t++,e++)s>>>t&1||(yield e);else e+=32}}_check_size(t){(0,a.assert)(this.size==t.size,\"Size mismatch\")}add(t){this._check_size(t);for(let s=0;s<this._nwords;s++)this._array[s]|=t._array[s]}intersect(t){this._check_size(t);for(let s=0;s<this._nwords;s++)this._array[s]&=t._array[s]}subtract(t){this._check_size(t);for(let s=0;s<this._nwords;s++){const r=this._array[s],e=t._array[s];this._array[s]=(r^e)&r}}union(t){this._check_size(t);const s=this.clone();for(let r=0;r<this._nwords;r++)s._array[r]|=t._array[r];return s}intersection(t){this._check_size(t);const s=this.clone();for(let r=0;r<this._nwords;r++)s._array[r]&=t._array[r];return s}difference(t){this._check_size(t);const s=this.clone();for(let r=0;r<this._nwords;r++){const e=this._array[r],i=t._array[r];s._array[r]=(e^i)&e}return s}select(t){(0,a.assert)(this.size<=t.length,\"Size mismatch\");const s=this.count,r=new t.constructor(s);let e=0;for(const s of this)r[e++]=t[s];return r}}r.BitSet=_,_.__name__=\"BitSet\"},\n",
" function _(t,e,r,n,s){n();const o=t(8),{hasOwnProperty:c}=Object.prototype;function a(t){return(0,o.isObject)(t)&&void 0!==t[r.equals]}r.equals=Symbol(\"equals\"),r.wildcard=Symbol(\"wildcard\");const i=Object.prototype.toString;class u{constructor(){this.a_stack=[],this.b_stack=[]}eq(t,e){if(Object.is(t,e))return!0;if(t===r.wildcard||e===r.wildcard)return!0;if(null==t||null==e)return t===e;const n=i.call(t);if(n!=i.call(e))return!1;switch(n){case\"[object Number]\":return this.numbers(t,e);case\"[object RegExp]\":case\"[object String]\":return`${t}`==`${e}`;case\"[object Date]\":case\"[object Boolean]\":return+t==+e}const{a_stack:s,b_stack:o}=this;let c=s.length;for(;c--;)if(s[c]===t)return o[c]===e;s.push(t),o.push(e);const u=(()=>{if(a(t)&&a(e))return t[r.equals](e,this);switch(n){case\"[object Array]\":case\"[object Uint8Array]\":case\"[object Int8Array]\":case\"[object Uint16Array]\":case\"[object Int16Array]\":case\"[object Uint32Array]\":case\"[object Int32Array]\":case\"[object Float32Array]\":case\"[object Float64Array]\":return this.arrays(t,e);case\"[object Map]\":return this.maps(t,e);case\"[object Set]\":return this.sets(t,e);case\"[object Object]\":if(t.constructor==e.constructor&&(null==t.constructor||t.constructor===Object))return this.objects(t,e);case\"[object Function]\":if(t.constructor==e.constructor&&t.constructor===Function)return this.eq(`${t}`,`${e}`)}if(t instanceof Node)return this.nodes(t,e);throw Error(`can't compare objects of type ${n}`)})();return s.pop(),o.pop(),u}numbers(t,e){return Object.is(t,e)}arrays(t,e){const{length:r}=t;if(r!=e.length)return!1;for(let n=0;n<r;n++)if(!this.eq(t[n],e[n]))return!1;return!0}iterables(t,e){const r=t[Symbol.iterator](),n=e[Symbol.iterator]();for(;;){const t=r.next(),e=n.next();if(t.done&&e.done)return!0;if(t.done||e.done)return!1;if(!this.eq(t.value,e.value))return!1}}maps(t,e){if(t.size!=e.size)return!1;for(const[r,n]of t)if(!e.has(r)||!this.eq(n,e.get(r)))return!1;return!0}sets(t,e){if(t.size!=e.size)return!1;for(const r of t)if(!e.has(r))return!1;return!0}objects(t,e){const r=Object.keys(t);if(r.length!=Object.keys(e).length)return!1;for(const n of r)if(!c.call(e,n)||!this.eq(t[n],e[n]))return!1;return!0}nodes(t,e){return t.nodeType==e.nodeType&&(t.textContent==e.textContent&&!!this.iterables(t.childNodes,e.childNodes))}}r.Comparator=u,u.__name__=\"Comparator\";const{abs:l}=Math;class b extends u{constructor(t=1e-4){super(),this.tolerance=t}numbers(t,e){return super.numbers(t,e)||l(t-e)<this.tolerance}}function f(t,e){return(new u).eq(t,e)}r.SimilarComparator=b,b.__name__=\"SimilarComparator\",r.is_equal=f,r.is_similar=function(t,e,r){return new b(r).eq(t,e)},r.isEqual=f},\n",
" function _(n,i,e,t,r){t(),e.is_windows=navigator.appVersion.includes(\"Windows\"),e.is_ie=(()=>{const n=navigator.userAgent;return n.includes(\"MSIE\")||n.includes(\"Trident\")||n.includes(\"Edge\")})(),e.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),e.is_little_endian=(()=>{const n=new ArrayBuffer(4),i=new Uint8Array(n);new Uint32Array(n)[1]=168496141;let e=!0;return 10==i[4]&&11==i[5]&&12==i[6]&&13==i[7]&&(e=!1),e})(),e.BYTE_ORDER=e.is_little_endian?\"little\":\"big\",e.to_big_endian=function(n){if(e.is_little_endian){const i=new Uint32Array(n.length),e=new DataView(i.buffer);let t=0;for(const i of n)e.setUint32(t,i),t+=4;return i}return n}},\n",
" function _(e,t,r,s,_){s();class i{constructor(){this._dev=!1,this._wireframe=!1,this._force_webgl=!1}set dev(e){this._dev=e}get dev(){return this._dev}set wireframe(e){this._wireframe=e}get wireframe(){return this._wireframe}set force_webgl(e){this._force_webgl=e}get force_webgl(){return this._force_webgl}}r.Settings=i,i.__name__=\"Settings\",r.settings=new i},\n",
" function _(e,s,t,i,r){var a,n,l,h,u,o,p,c;i();const y=e(8),_=e(11),A=e(26),q=e(30),d=e(31),z=Symbol(\"__ndarray__\");class D extends Uint8Array{constructor(e,s){super(e),this[a]=!0,this.dtype=\"uint8\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>D.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>D.prototype[q.serialize].call(this,e))}[(a=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint8NDArray=D,D.__name__=\"Uint8NDArray\";class N extends Int8Array{constructor(e,s){super(e),this[n]=!0,this.dtype=\"int8\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>N.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>N.prototype[q.serialize].call(this,e))}[(n=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int8NDArray=N,N.__name__=\"Int8NDArray\";class f extends Uint16Array{constructor(e,s){super(e),this[l]=!0,this.dtype=\"uint16\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>f.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>f.prototype[q.serialize].call(this,e))}[(l=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint16NDArray=f,f.__name__=\"Uint16NDArray\";class m extends Int16Array{constructor(e,s){super(e),this[h]=!0,this.dtype=\"int16\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>m.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>m.prototype[q.serialize].call(this,e))}[(h=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int16NDArray=m,m.__name__=\"Int16NDArray\";class g extends Uint32Array{constructor(e,s){super(e),this[u]=!0,this.dtype=\"uint32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>g.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>g.prototype[q.serialize].call(this,e))}[(u=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint32NDArray=g,g.__name__=\"Uint32NDArray\";class I extends Int32Array{constructor(e,s){super(e),this[o]=!0,this.dtype=\"int32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>I.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>I.prototype[q.serialize].call(this,e))}[(o=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int32NDArray=I,I.__name__=\"Int32NDArray\";class U extends Float32Array{constructor(e,s){super(e),this[p]=!0,this.dtype=\"float32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>U.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>U.prototype[q.serialize].call(this,e))}[(p=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Float32NDArray=U,U.__name__=\"Float32NDArray\";class w extends Float64Array{constructor(e,s){super(e),this[c]=!0,this.dtype=\"float64\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>w.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>w.prototype[q.serialize].call(this,e))}[(c=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}function x(e){return(0,y.isObject)(e)&&void 0!==e[z]}t.Float64NDArray=w,w.__name__=\"Float64NDArray\",t.is_NDArray=x,t.ndarray=function(e,s={}){let{dtype:t}=s;null==t&&(t=e instanceof ArrayBuffer||(0,y.isArray)(e)?\"float64\":(()=>{switch(!0){case e instanceof Uint8Array:return\"uint8\";case e instanceof Int8Array:return\"int8\";case e instanceof Uint16Array:return\"uint16\";case e instanceof Int16Array:return\"int16\";case e instanceof Uint32Array:return\"uint32\";case e instanceof Int32Array:return\"int32\";case e instanceof Float32Array:return\"float32\";case e instanceof Float64Array:return\"float64\";default:(0,_.unreachable)()}})());const{shape:i}=s;switch(t){case\"uint8\":return new D(e,i);case\"int8\":return new N(e,i);case\"uint16\":return new f(e,i);case\"int16\":return new m(e,i);case\"uint32\":return new g(e,i);case\"int32\":return new I(e,i);case\"float32\":return new U(e,i);case\"float64\":return new w(e,i)}}},\n",
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" function _(_,e,r,n,f){n();const t=_(8),o=_(27),s=_(32);r.is_NDArray_ref=function(_){return(0,t.isPlainObject)(_)&&(\"__buffer__\"in _||\"__ndarray__\"in _)},r.decode_NDArray=function(_,e){const{shape:r,dtype:n,order:f}=_;let t;if(\"__buffer__\"in _){const r=e.get(_.__buffer__);if(null==r)throw new Error(`buffer for ${_.__buffer__} not found`);t=r}else t=(0,s.base64_to_buffer)(_.__ndarray__);return f!==o.BYTE_ORDER&&(0,s.swap)(t,n),{buffer:t,dtype:n,shape:r}},r.encode_NDArray=function(_,e){const r={order:o.BYTE_ORDER,dtype:_.dtype,shape:_.shape};if(null!=e){const n=`${e.size}`;return e.set(n,_.buffer),Object.assign({__buffer__:n},r)}{const e={toJSON:()=>(0,s.buffer_to_base64)(_.buffer)};return Object.assign({__ndarray__:e},r)}}},\n",
" function _(t,n,e,r,o){r(),e.buffer_to_base64=function(t){const n=new Uint8Array(t),e=Array.from(n).map((t=>String.fromCharCode(t)));return btoa(e.join(\"\"))},e.base64_to_buffer=function(t){const n=atob(t),e=n.length,r=new Uint8Array(e);for(let t=0,o=e;t<o;t++)r[t]=n.charCodeAt(t);return r.buffer},e.swap=function(t,n){switch(n){case\"uint16\":case\"int16\":!function(t){const n=new Uint8Array(t);for(let t=0,e=n.length;t<e;t+=2){const e=n[t];n[t]=n[t+1],n[t+1]=e}}(t);break;case\"uint32\":case\"int32\":case\"float32\":!function(t){const n=new Uint8Array(t);for(let t=0,e=n.length;t<e;t+=4){let e=n[t];n[t]=n[t+3],n[t+3]=e,e=n[t+1],n[t+1]=n[t+2],n[t+2]=e}}(t);break;case\"float64\":!function(t){const n=new Uint8Array(t);for(let t=0,e=n.length;t<e;t+=8){let e=n[t];n[t]=n[t+7],n[t+7]=e,e=n[t+1],n[t+1]=n[t+6],n[t+6]=e,e=n[t+2],n[t+2]=n[t+5],n[t+5]=e,e=n[t+3],n[t+3]=n[t+4],n[t+4]=e}}(t)}}},\n",
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" function _(n,o,r,e,t){e();const l=n(13),i=n(8);function c(n){return(0,i.isObject)(n)&&void 0!==n[r.clone]}r.clone=Symbol(\"clone\"),r.is_Cloneable=c;class s extends Error{}r.CloningError=s,s.__name__=\"CloningError\";class a{constructor(){}clone(n){if(c(n))return n[r.clone](this);if((0,i.isArray)(n)){const o=n.length,r=new Array(o);for(let e=0;e<o;e++){const o=n[e];r[e]=this.clone(o)}return r}if((0,i.isPlainObject)(n)){const o={};for(
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