dev-python/hyperspy - 2.4.0-r1 (stuff)

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Install

Install this version:

emerge -a =dev-python/hyperspy-2.4.0-r1

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

autounmask =dev-python/hyperspy-2.4.0-r1

Or alternatively:

emerge --autounmask-write -a =dev-python/hyperspy-2.4.0-r1

Package Information

Description:
Interactive analysis of multidimensional datasets tools
Homepage:
https://hyperspy.org/
License:
GPL-3

Ebuild Details

Version EAPI Keywords Slot
2.4.0-r1 8 ~amd64 0
View Raw Ebuild
# 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="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}] )
"

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 )
"

python_test() {
	virtx epytest
}

USE Flags

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

Global/Standard Flags

learning
Default: Enabled (+)
gui-jupyter
Default: Enabled (+)
gui-traitsui
Default: Enabled (+)

Inherited Eclasses

Dependencies

DEPEND

	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]
	)

RDEPEND

	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[] )