dev-python/numpydoc - 1.11.0 (gentoo)

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Install

Install this version:

emerge -a =dev-python/numpydoc-1.11.0

If this version is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask =dev-python/numpydoc-1.11.0

Or alternatively:

emerge --autounmask-write -a =dev-python/numpydoc-1.11.0

Package Information

Description:
Sphinx extension to support docstrings in Numpy format
Homepage:
https://numpydoc.readthedocs.io/en/latest/ https://github.com/numpy/numpydoc/ https://pypi.org/project/numpydoc/
License:
BSD

Ebuild Details

Version EAPI Keywords Slot
1.11.0 8 ~alpha ~amd64 ~arm ~arm64 ~hppa ~m68k ~mips ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86 ~x64-macos 0
View Raw Ebuild
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2

EAPI=8

DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..14} )

inherit distutils-r1

MY_P=${P/_}
DESCRIPTION="Sphinx extension to support docstrings in Numpy format"
HOMEPAGE="
	https://numpydoc.readthedocs.io/en/latest/
	https://github.com/numpy/numpydoc/
	https://pypi.org/project/numpydoc/
"
SRC_URI="
	https://github.com/numpy/numpydoc/archive/v${PV/_}.tar.gz
		-> ${MY_P}.gh.tar.gz
"
S=${WORKDIR}/${MY_P}

LICENSE="BSD"
SLOT="0"
KEYWORDS="~alpha ~amd64 ~arm ~arm64 ~hppa ~m68k ~mips ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86 ~x64-macos"

RDEPEND="
	>=dev-python/sphinx-6[${PYTHON_USEDEP}]
"
BDEPEND="
	test? (
		>=dev-python/matplotlib-3.2.1[${PYTHON_USEDEP}]
	)
"

EPYTEST_PLUGINS=()
distutils_enable_tests pytest

python_test() {
	local EPYTEST_DESELECT=(
		# these require Internet (intersphinx)
		numpydoc/tests/test_full.py::test_MyClass
		numpydoc/tests/test_full.py::test_my_function
		# TODO
		numpydoc/tests/test_validate.py::test_extract_ignore_validation_comments
	)
	epytest -o addopts= --pyargs numpydoc
}

Inherited Eclasses

Dependencies

RDEPEND

	>=dev-python/sphinx-6[]

BDEPEND

	test? (
		>=dev-python/matplotlib-3.2.1[]
	)

Manifest for 1.11.0

Type File Size Source URLs
DIST numpydoc-1.11.0.gh.tar.gz 97229 bytes https://github.com/numpy/numpydoc/archive/v1.11.0.tar.gz