# automatically generated by g-sorcery
# please do not edit this file

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="An open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics [top-max 0.7.2]"

HOMEPAGE="https://github.com/MannLabs/alphastats"
LICENSE="Apache-2.0"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"

SLOT="0"
KEYWORDS="~amd64 ~x86"

IUSE=""
DEPENDENCIES="~dev-python/pandas-2.0.2[${PYTHON_USEDEP}]
	~dev-python/scikit-learn-1.2.2[${PYTHON_USEDEP}]
	dev-python/data-cache[${PYTHON_USEDEP}]
	~dev-python/plotly-5.15.0[${PYTHON_USEDEP}]
	~dev-python/statsmodels-0.14.0[${PYTHON_USEDEP}]
	dev-python/sklearn-pandas[${PYTHON_USEDEP}]
	dev-python/pingouin[${PYTHON_USEDEP}]
	~dev-python/scipy-1.10.1[${PYTHON_USEDEP}]
	>=dev-python/tqdm-4.64.0[${PYTHON_USEDEP}]
	dev-python/diffxpy[${PYTHON_USEDEP}]
	dev-python/anndata[${PYTHON_USEDEP}]
	dev-python/umap-learn[${PYTHON_USEDEP}]
	dev-python/streamlit[${PYTHON_USEDEP}]
	~dev-python/tables-3.7.0[${PYTHON_USEDEP}]
	~dev-python/numpy-1.23.5[${PYTHON_USEDEP}]
	dev-python/numba[${PYTHON_USEDEP}]
	dev-python/numba-stats[${PYTHON_USEDEP}]
	dev-python/swifter[${PYTHON_USEDEP}]
	~dev-python/click-8.0.1[${PYTHON_USEDEP}]
	dev-python/kaleido[${PYTHON_USEDEP}]
	dev-python/combat[${PYTHON_USEDEP}]
	~dev-python/xlsxwriter-3.1.0[${PYTHON_USEDEP}]
	dev-python/pyteomics[${PYTHON_USEDEP}]
	>=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
	>=dev-python/nbformat-5.0[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"