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misialq committed Sep 3, 2024
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35 changes: 35 additions & 0 deletions .github/workflows/ci.yml
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name: deploy-book

on:
push:
branches:
- main

jobs:
deploy-book:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4

- name: Setup Miniconda
uses: conda-incubator/setup-miniconda@v3
with:
python-version: 3.9
mamba-version: "*"
channels: conda-forge,defaults
channel-priority: true
activate-environment: conda-env

- name: Install dependencies
run: mamba install -n conda-env jupyter-book

- name: Build the book
run: mamba run -n conda-env jupyter-book build .

- name: GitHub Pages action
uses: peaceiris/actions-gh-pages@v3
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./_build/html
publish_branch: book
enable_jekyll: false
3 changes: 3 additions & 0 deletions .gitignore
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# 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/

moshpit_docs/_build
.idea/
15 changes: 15 additions & 0 deletions README.md
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# moshpit-docs
MOSHPIT plugin suite documentation


## Build the book
Create the conda environment:
```shell
mamba create -n jupyter-book -c conda-forge jupyter-book
```
Activate:
```shell
conda activate jupyter-book
```
Build the book:
```shell
jupyter-book build --all moshpit_doc
```
38 changes: 38 additions & 0 deletions moshpit_docs/_config.yml
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# Book settings
# Learn more at https://jupyterbook.org/customize/config.html

title: MOSHPIT plugin suite
author: The Bokulich Lab

sphinx:
config:
html_theme_options:
logo:
image_light: logo_light.svg
image_dark: logo_dark.svg

# Force re-execution of notebooks on each build.
# See https://jupyterbook.org/content/execute.html
execute:
execute_notebooks: force

# Define the name of the latex output file for PDF builds
latex:
latex_documents:
targetname: book.tex

# Add a bibtex file so that we can create citations
bibtex_bibfiles:
- references.bib

# Information about where the book exists on the web
repository:
url: https://github.com/bokulich-lab/moshpit-docs # Online location of your book
path_to_book: docs # Optional path to your book, relative to the repository root
branch: master # Which branch of the repository should be used when creating links (optional)

# Add GitHub buttons to your book
# See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository
html:
use_issues_button: true
use_repository_button: true
9 changes: 9 additions & 0 deletions moshpit_docs/_toc.yml
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# Table of contents
# Learn more at https://jupyterbook.org/customize/toc.html

format: jb-book
root: intro
chapters:
- file: chapters/mag-recovery
- file: chapters/taxonomic-classification
- file: chapters/functional-annotation
53 changes: 53 additions & 0 deletions moshpit_docs/chapters/functional-annotation.md
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---
jupytext:
formats: md:myst
text_representation:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.11.5
kernelspec:
display_name: Python 3
language: python
name: python3
---

# Functional annotation

Jupyter Book also lets you write text-based notebooks using MyST Markdown.
See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions.
This page shows off a notebook written in MyST Markdown.

## An example cell

With MyST Markdown, you can define code cells with a directive like so:

```{code-cell}
print(2 + 2)
```

When your book is built, the contents of any `{code-cell}` blocks will be
executed with your default Jupyter kernel, and their outputs will be displayed
in-line with the rest of your content.

```{seealso}
Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html).
```

## Create a notebook with MyST Markdown

MyST Markdown notebooks are defined by two things:

1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed).
See the YAML at the top of this page for example.
2. The presence of `{code-cell}` directives, which will be executed with your book.

That's all that is needed to get started!

## Quickly add YAML metadata for MyST Notebooks

If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command:

```
jupyter-book myst init path/to/markdownfile.md
```
53 changes: 53 additions & 0 deletions moshpit_docs/chapters/mag-recovery.md
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---
jupytext:
formats: md:myst
text_representation:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.11.5
kernelspec:
display_name: Python 3
language: python
name: python3
---

# Recovery of MAGs

Jupyter Book also lets you write text-based notebooks using MyST Markdown.
See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions.
This page shows off a notebook written in MyST Markdown.

## An example cell

With MyST Markdown, you can define code cells with a directive like so:

```{code-cell}
print(2 + 2)
```

When your book is built, the contents of any `{code-cell}` blocks will be
executed with your default Jupyter kernel, and their outputs will be displayed
in-line with the rest of your content.

```{seealso}
Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html).
```

## Create a notebook with MyST Markdown

MyST Markdown notebooks are defined by two things:

1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed).
See the YAML at the top of this page for example.
2. The presence of `{code-cell}` directives, which will be executed with your book.

That's all that is needed to get started!

## Quickly add YAML metadata for MyST Notebooks

If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command:

```
jupyter-book myst init path/to/markdownfile.md
```
55 changes: 55 additions & 0 deletions moshpit_docs/chapters/markdown.md
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# Markdown Files

Whether you write your book's content in Jupyter Notebooks (`.ipynb`) or
in regular markdown files (`.md`), you'll write in the same flavor of markdown
called **MyST Markdown**.
This is a simple file to help you get started and show off some syntax.

## What is MyST?

MyST stands for "Markedly Structured Text". It
is a slight variation on a flavor of markdown called "CommonMark" markdown,
with small syntax extensions to allow you to write **roles** and **directives**
in the Sphinx ecosystem.

For more about MyST, see [the MyST Markdown Overview](https://jupyterbook.org/content/myst.html).

## Sample Roles and Directives

Roles and directives are two of the most powerful tools in Jupyter Book. They
are like functions, but written in a markup language. They both
serve a similar purpose, but **roles are written in one line**, whereas
**directives span many lines**. They both accept different kinds of inputs,
and what they do with those inputs depends on the specific role or directive
that is being called.

Here is a "note" directive:

```{note}
Here is a note
```

It will be rendered in a special box when you build your book.

Here is an inline directive to refer to a document: {doc}`markdown-notebooks`.


## Citations

You can also cite references that are stored in a `bibtex` file. For example,
the following syntax: `` {cite}`holdgraf_evidence_2014` `` will render like
this: {cite}`holdgraf_evidence_2014`.

Moreover, you can insert a bibliography into your page with this syntax:
The `{bibliography}` directive must be used for all the `{cite}` roles to
render properly.
For example, if the references for your book are stored in `references.bib`,
then the bibliography is inserted with:

```{bibliography}
```

## Learn more

This is just a simple starter to get you started.
You can learn a lot more at [jupyterbook.org](https://jupyterbook.org).
122 changes: 122 additions & 0 deletions moshpit_docs/chapters/notebooks.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Content with notebooks\n",
"\n",
"You can also create content with Jupyter Notebooks. This means that you can include\n",
"code blocks and their outputs in your book.\n",
"\n",
"## Markdown + notebooks\n",
"\n",
"As it is markdown, you can embed images, HTML, etc into your posts!\n",
"\n",
"![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n",
"\n",
"You can also $add_{math}$ and\n",
"\n",
"$$\n",
"math^{blocks}\n",
"$$\n",
"\n",
"or\n",
"\n",
"$$\n",
"\\begin{aligned}\n",
"\\mbox{mean} la_{tex} \\\\ \\\\\n",
"math blocks\n",
"\\end{aligned}\n",
"$$\n",
"\n",
"But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n",
"\n",
"## MyST markdown\n",
"\n",
"MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n",
"out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n",
"or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n",
"\n",
"## Code blocks and outputs\n",
"\n",
"Jupyter Book will also embed your code blocks and output in your book.\n",
"For example, here's some sample Matplotlib code:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from matplotlib import rcParams, cycler\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"plt.ion()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Fixing random state for reproducibility\n",
"np.random.seed(19680801)\n",
"\n",
"N = 10\n",
"data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n",
"data = np.array(data).T\n",
"cmap = plt.cm.coolwarm\n",
"rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n",
"\n",
"\n",
"from matplotlib.lines import Line2D\n",
"custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n",
" Line2D([0], [0], color=cmap(.5), lw=4),\n",
" Line2D([0], [0], color=cmap(1.), lw=4)]\n",
"\n",
"fig, ax = plt.subplots(figsize=(10, 5))\n",
"lines = ax.plot(data)\n",
"ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is a lot more that you can do with outputs (such as including interactive outputs)\n",
"with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.0"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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