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dev-python/BAMT - 1.3.0 (pypi)

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Package Information

Description:
data modeling and analysis tool based on Bayesian networks
Homepage:
https://github.com/ITMO-NSS-team/BAMT
License:
BSD

Ebuild Details

Version EAPI Keywords Slot
1.3.0 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_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="data modeling and analysis tool based on Bayesian networks"

HOMEPAGE="https://github.com/ITMO-NSS-team/BAMT"
LICENSE="BSD"
SRC_URI="https://files.pythonhosted.org/packages/64/b0/4664a2fb1f3c5a84456886561e94d0806eda46606445b357e7ce6ed838d1/bamt-${REALVERSION}.tar.gz"
SOURCEFILE="bamt-${REALVERSION}.tar.gz"
RESTRICT="test"

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

IUSE="composite-extras"
DEPENDENCIES=">=dev-python/numpy-1.26.4[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	>=dev-python/pandas-2.0.3[${PYTHON_USEDEP}]
	dev-python/gmr[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	dev-python/pyvis[${PYTHON_USEDEP}]
	dev-python/missingno[${PYTHON_USEDEP}]
	dev-python/pgmpy[${PYTHON_USEDEP}]
	dev-python/thegolem[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/catboost[${PYTHON_USEDEP}]
	composite-extras? ( dev-python/lightgbm[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

USE Flags

composite-extras

Dependencies

RDEPEND

>=dev-python/numpy-1.26.4[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	>=dev-python/pandas-2.0.3[${PYTHON_USEDEP}]
	dev-python/gmr[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	dev-python/pyvis[${PYTHON_USEDEP}]
	dev-python/missingno[${PYTHON_USEDEP}]
	dev-python/pgmpy[${PYTHON_USEDEP}]
	dev-python/thegolem[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/catboost[${PYTHON_USEDEP}]
	composite-extras? ( dev-python/lightgbm[${PYTHON_USEDEP}] )

BDEPEND

>=dev-python/numpy-1.26.4[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	>=dev-python/pandas-2.0.3[${PYTHON_USEDEP}]
	dev-python/gmr[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	dev-python/pyvis[${PYTHON_USEDEP}]
	dev-python/missingno[${PYTHON_USEDEP}]
	dev-python/pgmpy[${PYTHON_USEDEP}]
	dev-python/thegolem[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/catboost[${PYTHON_USEDEP}]
	composite-extras? ( dev-python/lightgbm[${PYTHON_USEDEP}] )

Manifest for 1.3.0

Type File Size Source URLs
DIST bamt-1.3.0.tar.gz 67813 bytes https://files.pythonhosted.org/packages/64/b0/4664a2fb1f3c5a84456886561e94d0806eda46606445b357e7ce6ed838d1/bamt-1.3.0.tar.gz