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Showing content from https://github.com/sphinx-gallery/sample-project below:

sphinx-gallery/sample-project: Template for using Sphinx-Gallery to document a package

This is a template for using Sphinx and Sphinx-Gallery to document a Python package with examples. It includes:

• a sample package (SampleModule) with two modules:
  • module.py which defines an example class and an example function
  • data_download.py which provides functions for downloading large datasets required for examples and storing the path to the downloaded datasets to ensure that they are only downloaded once
• two galleries of examples that demonstrate Sphinx-Gallery functions
• a way to automatically build the documentation whenever the repository is pushed to

1. Clone this repository:

   git clone https://github.com/sphinx-gallery/sample-project.git
   

2. Update the SampleModule to include your package modules instead
3. Update the docs/conf.py with your project details in this section:

   # -- Project information -----------------------------------------------------
   
   project = 'sample-project'
   copyright = '2020, <Author>'
   author = '<Author>'
   # The full version, including alpha/beta/rc tags
   release = '0.0.1'
   

   and desired gallery configurations in this section:

   # sphinx-gallery configuration
   sphinx_gallery_conf = {
       # path to your example scripts
       'examples_dirs': ['../sample-gallery-1', '../sample-gallery-2'],
       # path to where to save gallery generated output
       'gallery_dirs': ['auto_gallery-1', 'auto_gallery-2'],
       # specify that examples should be ordered according to filename
       'within_subsection_order': FileNameSortKey,
       # directory where function granular galleries are stored
       'backreferences_dir': 'gen_modules/backreferences',
       # Modules for which function level galleries are created.  In
       # this case sphinx_gallery and numpy in a tuple of strings.
       'doc_module': ('SampleModule'),
   }
   

4. Update sample-gallery-1 and sample-gallery-2 to your own example galleries. Use the command: from the directory docs/ to build the documentation and see the effects of your changes to the example .py files.

For full configuration options see Sphinx documentation and Sphinx-Gallery documentaton

If your examples require datasets (especially if the same dataset is used across several examples), you may wish to use the functions defined in SampleModule/data_download.py to download the required datasets during building of the documentation. The download_data function first checks if the data file already exists in either the path saved under the key data_key in the config file or the default data path; ~/sg_template_data. If the file does not exist, it downloads the data from url argument given and saves to a filename specified in the argument data_file_name. Finally, it also stores the location of the data in a configuration file, under key data_key. See sample-gallery-1/plot_1_download_data.py for an example of the function in use.

The following projects use a similar method to make datasets available when building their examples and can be looked to for guidance, especially if your project has specific data needs:

• MNE-python, specifically dataset/utils
• scikit-learn, specifically datasets/_base

Configuration templates are provided for using CircleCI and Github actions to automatically build your documentation after every push. This allows you to view changes in the built documentation and be informed of any errors during building.

Both options are discussed in detail below to help you decide which is more suitable for your project.

To use CircleCI in your project, first follow their sign up steps here. The .circleci/config.yml file outlines a simple workflow that builds the documentation and stores it as an artifact after every push. If you wish to make changes to the workflow, see CircleCI configuration to learn how to amend the .circleci/config.yml for your project needs. Additionally, to enable CircleCI builds on forked pull requests, follow the steps here.

A handy link to the buit documentation is also added to Github via the Github action circleci-artifacts-redirector, via the configuration file .github/workflows/main.yml.

The workflow stored at .github/workflows/sphinx_build.yml uses the community action Sphinx build action to build the documentation. The Github action upload artifact is then used to store the built documentation. The built documentation can be downloaded by navigating to the 'Actions' tab of the repository but not be directly viewed online like with CircleCI. There are also limitations on how long the artifact is stored, see here for more details. Additonally, if you wish to make changes to the workflow see here to learn how to amend the .github/workflows/sphinx_build.yml file for your project needs.

Finally, it may be useful to enable debug logging to aid in diagnosing why your workflow is not working.

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