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‎Makefile‎

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# === USER PARAMETERS
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ifdef OS
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export PYTHON_COMMAND=python
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export UV_INSTALL_CMD=powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
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export VENV_BIN=.venv/Scripts
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else
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export PYTHON_COMMAND=python3.8
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export PYTHON_COMMAND=python3.12
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export UV_INSTALL_CMD=curl -LsSf https://astral.sh/uv/install.sh | sh
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export VENV_BIN=.venv/bin
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endif
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export SRC_DIR=ml3_platform_docs
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DEPLOY_ENVIRONMENT=$(shell if [ $(findstring main, $(BRANCH_NAME)) ]; then \
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echo 'prod'; \
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elif [ $(findstring pre, $(BRANCH_NAME)) ]; then \
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echo 'pre'; \
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else \
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echo 'dev'; \
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fi)
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# If use deploy_environment in the tag system
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# `y` => yes
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# `n` => no
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USE_DEPLOY_ENVIRONMENT=n
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# == SETUP REPOSITORY AND DEPENDENCIES
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setup:
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$(PYTHON_COMMAND) -m pip install poetry
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poetry env use $(PYTHON_COMMAND)
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poetry run pip install --upgrade pip
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install-uv:
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# install uv package manager
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$(UV_INSTALL_CMD)
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# create environment
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uv venv -p $(PYTHON_COMMAND)
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compile:
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# install extra dev group
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uv pip compile pyproject.toml -o requirements.txt --cache-dir .uv_cache
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install:
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poetry lock
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poetry install
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uv pip sync requirements.txt --cache-dir .uv_cache
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setup: install-uv compile install
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build-docs:
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mkdocs build

‎docs/404.html‎

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‎docs/api/examples/index.html‎

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‎docs/api/index.html‎

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‎docs/api/python/client/index.html‎

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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/client/ rel=canonical><link href=../ rel=prev><link href=../models/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.10"><title>Client - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/client/ rel=canonical><link href=../ rel=prev><link href=../models/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.17"><title>Client - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.bcfcd587.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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html.glightbox-open { overflow: initial; height: 100%; }
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.gslide-title { margin-top: 0px; user-select: text; }
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.gslide-desc { color: #666; user-select: text; }

‎docs/api/python/enums/index.html‎

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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/enums/ rel=canonical><link href=../exceptions/ rel=prev><link href=../../rest/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.10"><title>Enums - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/enums/ rel=canonical><link href=../exceptions/ rel=prev><link href=../../rest/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.17"><title>Enums - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.bcfcd587.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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html.glightbox-open { overflow: initial; height: 100%; }
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.gslide-title { margin-top: 0px; user-select: text; }
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.gslide-desc { color: #666; user-select: text; }

‎docs/api/python/exceptions/index.html‎

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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/exceptions/ rel=canonical><link href=../models/ rel=prev><link href=../enums/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.10"><title>Exceptions - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/exceptions/ rel=canonical><link href=../models/ rel=prev><link href=../enums/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.17"><title>Exceptions - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.bcfcd587.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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html.glightbox-open { overflow: initial; height: 100%; }
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.gslide-title { margin-top: 0px; user-select: text; }
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.gslide-desc { color: #666; user-select: text; }

‎docs/api/python/index.html‎

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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/ rel=canonical><link href=../examples/ rel=prev><link href=client/ rel=next><link rel=icon href=../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.10"><title>ML3 platform client SDK - ML cube Platform Documentation</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet href=../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../stylesheets/extra.css><script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/ rel=canonical><link href=../examples/ rel=prev><link href=client/ rel=next><link rel=icon href=../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.17"><title>ML3 platform client SDK - ML cube Platform Documentation</title><link rel=stylesheet href=../../assets/stylesheets/main.bcfcd587.min.css><link rel=stylesheet href=../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../stylesheets/extra.css><script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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html.glightbox-open { overflow: initial; height: 100%; }
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.gslide-title { margin-top: 0px; user-select: text; }
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‎docs/api/python/models/index.html‎

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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/models/ rel=canonical><link href=../client/ rel=prev><link href=../exceptions/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.10"><title>Models - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><link href=https://ml-cube.github.io/ml3-platform-docs/api/python/models/ rel=canonical><link href=../client/ rel=prev><link href=../exceptions/ rel=next><link rel=icon href=../../../assets/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.17"><title>Models - ML cube Platform Documentation</title><link rel=stylesheet href=../../../assets/stylesheets/main.bcfcd587.min.css><link rel=stylesheet href=../../../assets/stylesheets/palette.06af60db.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Poppins";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../../../stylesheets/extra.css><script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script> <link href="../../../assets/stylesheets/glightbox.min.css" rel="stylesheet"/><style>
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html.glightbox-open { overflow: initial; height: 100%; }
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.gslide-title { margin-top: 0px; user-select: text; }
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.gslide-desc { color: #666; user-select: text; }

‎docs/api/rest/index.html‎

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