Install this version:
emerge -a =dev-python/hyperspy-2.3.0-r1
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/hyperspy-2.3.0-r1
Or alternatively:
emerge --autounmask-write -a =dev-python/hyperspy-2.3.0-r1
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 2.3.0-r1 | 8 | ~amd64 | 0 |
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{12..14} )
DISTUTILS_USE_PEP517=setuptools
inherit distutils-r1 virtualx pypi
DESCRIPTION="Interactive analysis of multidimensional datasets tools"
HOMEPAGE="https://hyperspy.org/"
SRC_URI="$(pypi_sdist_url "${PN}" "${PV}")"
S=${WORKDIR}/${P}
LICENSE="GPL-3"
SLOT="0"
KEYWORDS="~amd64"
#IUSE="mrcz tests"
IUSE="cuda +learning gui-jupyter speed gui-traitsui mrcz test"
RDEPEND="
dev-python/cloudpickle[${PYTHON_USEDEP}]
>=dev-python/dask-0.18[${PYTHON_USEDEP}]
>=dev-python/importlib-metadata-3.6[${PYTHON_USEDEP}]
dev-python/jinja2[${PYTHON_USEDEP}]
>=dev-python/matplotlib-3.1[${PYTHON_USEDEP}]
dev-python/natsort[${PYTHON_USEDEP}]
>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
dev-python/packaging[${PYTHON_USEDEP}]
>=dev-python/pint-0.10[${PYTHON_USEDEP}]
>=dev-python/rosettasciio-0.12.0[${PYTHON_USEDEP}]
dev-python/prettytable[${PYTHON_USEDEP}]
dev-python/pyyaml[${PYTHON_USEDEP}]
>=dev-python/scipy-1.8[${PYTHON_USEDEP}]
dev-python/sympy[${PYTHON_USEDEP}]
dev-python/tqdm[${PYTHON_USEDEP}]
>=dev-python/traits-6.4.0[${PYTHON_USEDEP}]
>=dev-python/scikit-image-0.15[${PYTHON_USEDEP}]
learning? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
speed? ( >=dev-python/numba-0.56.0[${PYTHON_USEDEP}]
dev-python/cython[${PYTHON_USEDEP}]
dev-python/numexpr[${PYTHON_USEDEP}] )
cuda? ( dev-python/cupy[${PYTHON_USEDEP}] )
"
##
##mrcz? ( >=dev-python/blosc-1.5 >=dev-python/mrcz-0.3.6 )
# <dev-python/matplotlib-3.5[${PYTHON_USEDEP}]
# >=dev-python/pyface-7.4.1[${PYTHON_USEDEP}]
# dev-python/requests[${PYTHON_USEDEP}]
# dev-python/dill[${PYTHON_USEDEP}]
# >=dev-python/h5py-2.3[${PYTHON_USEDEP}]
# >=dev-python/python-dateutil-2.5.0[${PYTHON_USEDEP}]
# dev-python/ipyparallel[${PYTHON_USEDEP}]
#
# dev-python/statsmodels[${PYTHON_USEDEP}]
#
# dev-python/sparse[${PYTHON_USEDEP}]
# dev-python/imageio[${PYTHON_USEDEP}]
# dev-python/zarr[${PYTHON_USEDEP}]
# dev-python/matplotlib-scalebar[${PYTHON_USEDEP}]
# !dev-python/PTable
# >=dev-python/tifffile-2019.12.3[${PYTHON_USEDEP}]
DEPEND="${RDEPEND}
test? (
dev-python/pooch[${PYTHON_USEDEP}]
>=dev-python/pytest-3.6[${PYTHON_USEDEP}]
dev-python/pytest-mpl[${PYTHON_USEDEP}]
dev-python/pytest-xdist[${PYTHON_USEDEP},-test]
dev-python/pytest-rerunfailures[${PYTHON_USEDEP}]
dev-python/pytest-timeout[${PYTHON_USEDEP},-test]
)
"
PDEPEND="
gui-jupyter? ( >=dev-python/hyperspy-gui-ipywidgets-2.0 )
gui-traitsui? ( >=dev-python/hyperspy-gui-traitsui-2.0 )
"
#"ipympl",
#baseline = [
# "pybaselines"
#coverage = [
# "pytest-cov",
#]
#dask-image = [
# "dask-image",
#]
#doc = [
# "holospy", # example gallery
# "IPython", # Needed in testing code in basic_usage.rst
# "numpydoc",
# "pybaselines", # for docstring test
# "pydata_sphinx_theme",
# "scikit-image",
# "setuptools_scm",
# "sphinx-copybutton",
# "sphinx-design",
# "sphinx-favicon",
# "sphinx-gallery",
# "sphinx>=1.7",
# "sphinxcontrib-mermaid",
# "sphinxcontrib-towncrier>=0.5.0a0",
# "towncrier",
#]
#odr = [
# "odrpack>=0.3.1",
#]
PATCHES=(
"${FILESDIR}"/9f7e7e144ccfa399b4c447b956d3818c4f701f10.patch
)
python_test() {
virtx epytest
}
Manage flags for this package:
euse -i <flag> -p dev-python/hyperspy |
euse -E <flag> -p dev-python/hyperspy |
euse -D <flag> -p dev-python/hyperspy
dev-python/cloudpickle[] >=dev-python/dask-0.18[] >=dev-python/importlib-metadata-3.6[] dev-python/jinja2[] >=dev-python/matplotlib-3.1[] dev-python/natsort[] >=dev-python/numpy-1.22[] dev-python/packaging[] >=dev-python/pint-0.10[] >=dev-python/rosettasciio-0.12.0[] dev-python/prettytable[] dev-python/pyyaml[] >=dev-python/scipy-1.8[] dev-python/sympy[] dev-python/tqdm[] >=dev-python/traits-6.4.0[] >=dev-python/scikit-image-0.15[] learning? ( dev-python/scikit-learn[] ) speed? ( >=dev-python/numba-0.56.0[] dev-python/cython[] dev-python/numexpr[] ) cuda? ( dev-python/cupy[] ) test? ( dev-python/pooch[] >=dev-python/pytest-3.6[] dev-python/pytest-mpl[] dev-python/pytest-xdist[,-test] dev-python/pytest-rerunfailures[] dev-python/pytest-timeout[,-test] )
dev-python/cloudpickle[] >=dev-python/dask-0.18[] >=dev-python/importlib-metadata-3.6[] dev-python/jinja2[] >=dev-python/matplotlib-3.1[] dev-python/natsort[] >=dev-python/numpy-1.22[] dev-python/packaging[] >=dev-python/pint-0.10[] >=dev-python/rosettasciio-0.12.0[] dev-python/prettytable[] dev-python/pyyaml[] >=dev-python/scipy-1.8[] dev-python/sympy[] dev-python/tqdm[] >=dev-python/traits-6.4.0[] >=dev-python/scikit-image-0.15[] learning? ( dev-python/scikit-learn[] ) speed? ( >=dev-python/numba-0.56.0[] dev-python/cython[] dev-python/numexpr[] ) cuda? ( dev-python/cupy[] )