# Copyright 2022-2024 Gentoo Authors # Distributed under the terms of the GNU General Public License v2 EAPI=8 DISTUTILS_EXT=1 DISTUTILS_USE_PEP517=standalone PYTHON_COMPAT=( python3_{10..11} ) inherit distutils-r1 optfeature pypi virtualx DESCRIPTION="Modeling and fitting package for scientific data analysis" HOMEPAGE="https://sherpa.readthedocs.io" LICENSE="GPL-3" SLOT="0" KEYWORDS="~amd64" # ds9 no x86 KEYWORD IUSE="doc intersphinx examples" RESTRICT="intersphinx? ( network-sandbox )" REQUIRED_USE="intersphinx? ( doc )" DEPEND=">=dev-python/numpy-1.20[${PYTHON_USEDEP}] sci-libs/fftw:3.0= " RDEPEND="${DEPEND}" BDEPEND="dev-python/setuptools[${PYTHON_USEDEP}] doc? ( ${RDEPEND} dev-python/sphinx-astropy[${PYTHON_USEDEP}] dev-python/sphinx-rtd-theme[${PYTHON_USEDEP}] dev-python/nbsphinx[${PYTHON_USEDEP}] media-gfx/graphviz virtual/pandoc ) test? ( dev-python/pytest-xvfb[${PYTHON_USEDEP}] dev-python/astropy[${PYTHON_USEDEP}] dev-python/matplotlib[${PYTHON_USEDEP}] sci-astronomy/ds9-bin ) " distutils_enable_tests pytest #distutils_enable_sphinx docs dev-python/sphinx-astropy dev-python/sphinx-rtd-theme dev-python/nbsphinx python_prepare_all() { sed -e "s|#fftw=local|fftw=local|" -e "s|#fftw-include[-_]dirs.*$|fftw-include_dirs=/usr/include|" \ -e "s|#fftw-lib-dirs.*$|fftw-lib-dirs=/usr/$(get_libdir)|" -e "s|#fftw-libraries|fftw-libraries|" -i setup.cfg || die distutils-r1_python_prepare_all } python_compile_all() { if use doc; then VARTEXFONTS="${T}"/fonts MPLCONFIGDIR="${T}" PYTHONPATH="${BUILD_DIR}"/install/$(python_get_sitedir) \ emake "SPHINXOPTS=$(usex intersphinx '' '-D disable_intersphinx=1')" -C docs html HTML_DOCS=( docs/_build/html/. ) fi } python_install_all() { if use examples; then docompress -x "/usr/share/doc/${PF}/notebooks" docinto notebooks dodoc -r notebooks/. fi distutils-r1_python_install_all } python_test() { virtx epytest "${BUILD_DIR}" } pkg_postinst() { optfeature "reading and writing files in FITS format" dev-python/astropy optfeature "visualisation of one-dimensional data or models, one- or two- dimensional error analysis, and the results of Monte-Carlo Markov Chain runs" dev-python/matplotlib optfeature "interactive display and manipulation of two-dimensional images" sci-astronomy/ds9-bin }