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conf.py
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"""Sphinx documentation configuration."""
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
# import os
# import sys
# sys.path.insert(0, os.path.abspath('.'))
# -- Project information -----------------------------------------------------
import io
import os
import urllib.request
import zipfile
from importlib import metadata
project = "imitation"
copyright = "2019-2022, Center for Human-Compatible AI" # noqa: A001
author = "Center for Human-Compatible AI"
# The full version, including alpha/beta/rc tags
version = metadata.version("imitation")
# -- General configuration ---------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
"sphinx.ext.napoleon",
"sphinx.ext.autodoc",
"sphinx_autodoc_typehints",
"sphinx.ext.autosummary",
"sphinx.ext.mathjax",
"sphinx.ext.viewcode",
"sphinx_copybutton",
"sphinx_github_changelog",
"sphinx.ext.doctest",
"myst_nb",
]
napoleon_google_docstring = True
napoleon_numpy_docstring = False
autosummary_generate = True
nb_execution_mode = os.getenv("NB_EXECUTION_MODE", "cache")
nb_execution_timeout = 200
nb_merge_streams = True
nb_output_stderr = "remove"
nb_execution_raise_on_error = True
nb_execution_show_tb = True
# The default engine ran into memory issues on some notebooks
# so we use lualatex instead
latex_engine = "lualatex"
# Enable LaTeX macros in markdown cells
myst_enable_extensions = [
"amsmath",
"dollarmath",
]
# skip_doctests is checked in our :skipif: directives in doctest examples
doctest_global_setup = """
import os
skip_doctests = os.getenv("SKIP_DOCTEST")
"""
# Add any paths that contain templates here, relative to this directory.
templates_path = ["_templates"]
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path.
exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
autodoc_default_options = {
"members": True,
"undoc-members": True,
"special-members": "__init__",
"show-inheritance": True,
}
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = "furo"
html_title = "imitation"
html_theme_options = {
"source_repository": "https://github.com/HumanCompatibleAI/imitation",
"source_branch": "master",
"source_directory": "docs",
"light_css_variables": {
"sidebar-item-font-size": "85%",
},
}
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ["_static"]
html_css_files = ["css/custom.css"]
# -- Customization -----------------------------------------------------------
def no_namedtuple_attrib_docstring(app, what, name, obj, options, lines):
"""Remove redundant documentation in named tuples.
Worksaround https://github.com/sphinx-doc/sphinx/issues/7353 -- adapted from
https://chrisdown.name/2015/09/20/removing-namedtuple-docstrings-from-sphinx.html
""" # noqa: DAR101
is_namedtuple_docstring = 1 <= len(lines) <= 2 and lines[0].startswith(
"Alias for field number",
)
if is_namedtuple_docstring:
# We don't return, so we need to purge in-place
del lines[:]
def setup(app):
app.connect(
"autodoc-process-docstring",
no_namedtuple_attrib_docstring,
)
# -- Download the latest benchmark summary -------------------------------------
download_url = (
"https://github.com/HumanCompatibleAI/imitation/releases/latest/"
"download/benchmark_runs.zip"
)
# Download the benchmark data, extract the summary and place it in the documentation
with urllib.request.urlopen(download_url) as url:
with zipfile.ZipFile(io.BytesIO(url.read())) as z:
with z.open("benchmark_runs/summary.md") as f:
with open("main-concepts/benchmark_summary.md", "wb") as out:
out.write(f.read())