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name: Deploy to GitHub Pages | ||
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permissions: | ||
contents: write | ||
pages: write | ||
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on: | ||
push: | ||
branches: [ "main", "master" ] | ||
workflow_dispatch: | ||
jobs: | ||
deploy: | ||
runs-on: ubuntu-latest | ||
steps: [uses: fastai/workflows/quarto-ghp@master] |
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name: CI | ||
on: [workflow_dispatch, pull_request, push] | ||
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jobs: | ||
test: | ||
runs-on: ubuntu-latest | ||
steps: [uses: fastai/workflows/nbdev-ci@master] |
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__version__ = "0.0.1" |
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# Autogenerated by nbdev | ||
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d = { 'settings': { 'branch': 'main', | ||
'doc_baseurl': '/CanvasGroupy', | ||
'doc_host': 'https://FleischerResearchLab.github.io', | ||
'git_url': 'https://github.com/FleischerResearchLab/CanvasGroupy', | ||
'lib_path': 'CanvasGroupy'}, | ||
'syms': {'CanvasGroupy.core': {'CanvasGroupy.core.foo': ('core.html#foo', 'CanvasGroupy/core.py')}}} |
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/00_core.ipynb. | ||
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# %% auto 0 | ||
__all__ = ['foo'] | ||
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# %% ../nbs/00_core.ipynb 3 | ||
def foo(): pass |
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include settings.ini | ||
include LICENSE | ||
include CONTRIBUTING.md | ||
include README.md | ||
recursive-exclude * __pycache__ |
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# CanvasGroupy | ||
Canvas Grouping Python Script | ||
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<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --> | ||
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This file will become your README and also the index of your | ||
documentation. | ||
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## Install | ||
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``` sh | ||
pip install CanvasGroupy | ||
``` | ||
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## How to use | ||
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Fill me in please! Don’t forget code examples: | ||
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``` python | ||
1+1 | ||
``` | ||
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2 |
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/.quarto/ |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "raw", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"description: Fill in a module description here\n", | ||
"output-file: core.html\n", | ||
"title: core\n", | ||
"\n", | ||
"---\n", | ||
"\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/markdown": [ | ||
"---\n", | ||
"\n", | ||
"### foo\n", | ||
"\n", | ||
"> foo ()" | ||
], | ||
"text/plain": [ | ||
"---\n", | ||
"\n", | ||
"### foo\n", | ||
"\n", | ||
"> foo ()" | ||
] | ||
}, | ||
"execution_count": 1, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"#| echo: false\n", | ||
"#| output: asis\n", | ||
"show_doc(foo)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"widgets": { | ||
"application/vnd.jupyter.widget-state+json": { | ||
"state": {}, | ||
"version_major": 2, | ||
"version_minor": 0 | ||
} | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 4 | ||
} |
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<html xmlns="http://www.w3.org/1999/xhtml"> | ||
<head> | ||
<title>Redirect to core.html</title> | ||
<meta http-equiv="refresh" content="0;URL='core.html'" /> | ||
</head> | ||
<body> | ||
</body> | ||
</html> |
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Sitemap: https://FleischerResearchLab.github.io/CanvasGroupy/sitemap.xml |
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<?xml version="1.0" encoding="UTF-8"?> | ||
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> | ||
</urlset> |
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project: | ||
type: website | ||
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format: | ||
html: | ||
theme: cosmo | ||
css: styles.css | ||
toc: true | ||
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website: | ||
twitter-card: true | ||
open-graph: true | ||
repo-actions: [issue] | ||
navbar: | ||
background: primary | ||
search: true | ||
sidebar: | ||
style: floating | ||
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metadata-files: [nbdev.yml, sidebar.yml] |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "raw", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"description: Canvas Grouping Python Script\n", | ||
"output-file: index.html\n", | ||
"title: CanvasGroupy\n", | ||
"\n", | ||
"---\n", | ||
"\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"This file will become your README and also the index of your documentation." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Install" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"```sh\n", | ||
"pip install CanvasGroupy\n", | ||
"```" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## How to use" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"Fill me in please! Don't forget code examples:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"language": "python" | ||
}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"2" | ||
] | ||
}, | ||
"execution_count": null, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"1+1" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"language": "python" | ||
}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"widgets": { | ||
"application/vnd.jupyter.widget-state+json": { | ||
"state": {}, | ||
"version_major": 2, | ||
"version_minor": 0 | ||
} | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 4 | ||
} |
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project: | ||
output-dir: _docs | ||
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website: | ||
title: "CanvasGroupy" | ||
site-url: "https://FleischerResearchLab.github.io/CanvasGroupy" | ||
description: "Canvas Grouping Python Script" | ||
repo-branch: main | ||
repo-url: "https://github.com/FleischerResearchLab/CanvasGroupy" |
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.cell { | ||
margin-bottom: 1rem; | ||
} | ||
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.cell > .sourceCode { | ||
margin-bottom: 0; | ||
} | ||
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.cell-output > pre { | ||
margin-bottom: 0; | ||
} | ||
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.cell-output > pre, .cell-output > .sourceCode > pre, .cell-output-stdout > pre { | ||
margin-left: 0.8rem; | ||
margin-top: 0; | ||
background: none; | ||
border-left: 2px solid lightsalmon; | ||
border-top-left-radius: 0; | ||
border-top-right-radius: 0; | ||
} | ||
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.cell-output > .sourceCode { | ||
border: none; | ||
} | ||
|
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.cell-output > .sourceCode { | ||
background: none; | ||
margin-top: 0; | ||
} | ||
|
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div.description { | ||
padding-left: 2px; | ||
padding-top: 5px; | ||
font-style: italic; | ||
font-size: 135%; | ||
opacity: 70%; | ||
} |
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