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dev-python/edvart - 4.0.0 (pypi)

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Package Information

Description:
Effective data visualization and reporting tool
Homepage:
https://github.com/datamole-ai/edvart
License:
MIT

Ebuild Details

Version EAPI Keywords Slot
4.0.0 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_11,3_12} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Effective data visualization and reporting tool"

HOMEPAGE="https://github.com/datamole-ai/edvart"
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="all arrow umap"
DEPENDENCIES="dev-python/colorlover[${PYTHON_USEDEP}]
	dev-python/ipykernel[${PYTHON_USEDEP}]
	<dev-python/ipywidgets-9.0[${PYTHON_USEDEP}]
	<dev-python/isort-6.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0[${PYTHON_USEDEP}]
	<dev-python/nbconvert-8.0.0[${PYTHON_USEDEP}]
	dev-python/nbformat[${PYTHON_USEDEP}]
	umap? ( dev-python/numba[${PYTHON_USEDEP}] )
	all? ( dev-python/numba[${PYTHON_USEDEP}] )
	<dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
	dev-python/numpy[${PYTHON_USEDEP}]
	<dev-python/pandas-2.3[${PYTHON_USEDEP}]
	<dev-python/plotly-6.0[${PYTHON_USEDEP}]
	arrow? ( <dev-python/pyarrow-15.0.0[${PYTHON_USEDEP}] )
	all? ( <dev-python/pyarrow-15.0.0[${PYTHON_USEDEP}] )
	>=dev-python/scikit-learn-0.22.1[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0[${PYTHON_USEDEP}]
	<dev-python/seaborn-0.14[${PYTHON_USEDEP}]
	>dev-python/statsmodels-0.10.2[${PYTHON_USEDEP}]
	umap? ( dev-python/umap-learn[${PYTHON_USEDEP}] )
	all? ( dev-python/umap-learn[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

USE Flags

all
arrow
umap

Dependencies

RDEPEND

dev-python/colorlover[${PYTHON_USEDEP}]
	dev-python/ipykernel[${PYTHON_USEDEP}]
	<dev-python/ipywidgets-9.0[${PYTHON_USEDEP}]
	<dev-python/isort-6.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0[${PYTHON_USEDEP}]
	<dev-python/nbconvert-8.0.0[${PYTHON_USEDEP}]
	dev-python/nbformat[${PYTHON_USEDEP}]
	umap? ( dev-python/numba[${PYTHON_USEDEP}] )
	all? ( dev-python/numba[${PYTHON_USEDEP}] )
	<dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
	dev-python/numpy[${PYTHON_USEDEP}]
	<dev-python/pandas-2.3[${PYTHON_USEDEP}]
	<dev-python/plotly-6.0[${PYTHON_USEDEP}]
	arrow? ( <dev-python/pyarrow-15.0.0[${PYTHON_USEDEP}] )
	all? ( <dev-python/pyarrow-15.0.0[${PYTHON_USEDEP}] )
	>=dev-python/scikit-learn-0.22.1[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0[${PYTHON_USEDEP}]
	<dev-python/seaborn-0.14[${PYTHON_USEDEP}]
	>dev-python/statsmodels-0.10.2[${PYTHON_USEDEP}]
	umap? ( dev-python/umap-learn[${PYTHON_USEDEP}] )
	all? ( dev-python/umap-learn[${PYTHON_USEDEP}] )

BDEPEND

dev-python/colorlover[${PYTHON_USEDEP}]
	dev-python/ipykernel[${PYTHON_USEDEP}]
	<dev-python/ipywidgets-9.0[${PYTHON_USEDEP}]
	<dev-python/isort-6.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0[${PYTHON_USEDEP}]
	<dev-python/nbconvert-8.0.0[${PYTHON_USEDEP}]
	dev-python/nbformat[${PYTHON_USEDEP}]
	umap? ( dev-python/numba[${PYTHON_USEDEP}] )
	all? ( dev-python/numba[${PYTHON_USEDEP}] )
	<dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
	dev-python/numpy[${PYTHON_USEDEP}]
	<dev-python/pandas-2.3[${PYTHON_USEDEP}]
	<dev-python/plotly-6.0[${PYTHON_USEDEP}]
	arrow? ( <dev-python/pyarrow-15.0.0[${PYTHON_USEDEP}] )
	all? ( <dev-python/pyarrow-15.0.0[${PYTHON_USEDEP}] )
	>=dev-python/scikit-learn-0.22.1[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0[${PYTHON_USEDEP}]
	<dev-python/seaborn-0.14[${PYTHON_USEDEP}]
	>dev-python/statsmodels-0.10.2[${PYTHON_USEDEP}]
	umap? ( dev-python/umap-learn[${PYTHON_USEDEP}] )
	all? ( dev-python/umap-learn[${PYTHON_USEDEP}] )

Manifest for 4.0.0

Type File Size Source URLs
DIST edvart-4.0.0.tar.gz 1211761 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/edvart/edvart-4.0.0.tar.gz