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dev-python/jijbench - 0.5.8 (pypi)

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Package Information

Description:
Experiment management and benchmark tools for mathematical optimization
Homepage:
https://www.j-ij.com/
License:
MIT

Ebuild Details

Version EAPI Keywords Slot
0.5.8 8 ~amd64 ~x86 0
View Raw Ebuild 
# 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_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Experiment management and benchmark tools for mathematical optimization"

HOMEPAGE="https://www.j-ij.com/"
LICENSE="MIT"
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/dill-0.4.0[${PYTHON_USEDEP}]
	dev-python/jijmodeling[${PYTHON_USEDEP}]
	dev-python/jijzept[${PYTHON_USEDEP}]
	dev-python/kaleido[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	<dev-python/nbformat-6.0.0[${PYTHON_USEDEP}]
	<dev-python/networkx-3.0[${PYTHON_USEDEP}]
	<dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
	<dev-python/pandas-2.0.0[${PYTHON_USEDEP}]
	<dev-python/plotly-6.0.0[${PYTHON_USEDEP}]
	dev-python/streamlit[${PYTHON_USEDEP}]
	dev-python/streamlit-ace[${PYTHON_USEDEP}]
	dev-python/streamlit-aggrid[${PYTHON_USEDEP}]
	dev-python/streamlit-elements[${PYTHON_USEDEP}]
	dev-python/streamlit-tree-select[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

Dependencies

RDEPEND

<dev-python/dill-0.4.0[${PYTHON_USEDEP}]
	dev-python/jijmodeling[${PYTHON_USEDEP}]
	dev-python/jijzept[${PYTHON_USEDEP}]
	dev-python/kaleido[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	<dev-python/nbformat-6.0.0[${PYTHON_USEDEP}]
	<dev-python/networkx-3.0[${PYTHON_USEDEP}]
	<dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
	<dev-python/pandas-2.0.0[${PYTHON_USEDEP}]
	<dev-python/plotly-6.0.0[${PYTHON_USEDEP}]
	dev-python/streamlit[${PYTHON_USEDEP}]
	dev-python/streamlit-ace[${PYTHON_USEDEP}]
	dev-python/streamlit-aggrid[${PYTHON_USEDEP}]
	dev-python/streamlit-elements[${PYTHON_USEDEP}]
	dev-python/streamlit-tree-select[${PYTHON_USEDEP}]

BDEPEND

<dev-python/dill-0.4.0[${PYTHON_USEDEP}]
	dev-python/jijmodeling[${PYTHON_USEDEP}]
	dev-python/jijzept[${PYTHON_USEDEP}]
	dev-python/kaleido[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	<dev-python/nbformat-6.0.0[${PYTHON_USEDEP}]
	<dev-python/networkx-3.0[${PYTHON_USEDEP}]
	<dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
	<dev-python/pandas-2.0.0[${PYTHON_USEDEP}]
	<dev-python/plotly-6.0.0[${PYTHON_USEDEP}]
	dev-python/streamlit[${PYTHON_USEDEP}]
	dev-python/streamlit-ace[${PYTHON_USEDEP}]
	dev-python/streamlit-aggrid[${PYTHON_USEDEP}]
	dev-python/streamlit-elements[${PYTHON_USEDEP}]
	dev-python/streamlit-tree-select[${PYTHON_USEDEP}]

Manifest for 0.5.8

Type File Size Source URLs
DIST jijbench-0.5.8.tar.gz 3736456 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/jijbench/jijbench-0.5.8.tar.gz