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dev-python/tfp-nightly - 20180719 (pypi)

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Install

Install this version:

emerge -a =dev-python/tfp-nightly-20180719

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

autounmask =dev-python/tfp-nightly-20180719

Or alternatively:

emerge --autounmask-write -a =dev-python/tfp-nightly-20180719

Package Information

Description:
Probabilistic modeling and statistical inference in TensorFlow [top-max 0.26.0_pre20260201, badver 0.2.0rc0.dev20180719]
Homepage:
http://github.com/tensorflow/probability
License:
Apache-2.0

Ebuild Details

Version EAPI Keywords Slot
20180719 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="0.2.0rc0.dev20180719"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Probabilistic modeling and statistical inference in TensorFlow [top-max 0.26.0_pre20260201, badver 0.2.0rc0.dev20180719]"

HOMEPAGE="http://github.com/tensorflow/probability"
LICENSE="Apache-2.0"
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/six-1.10.0[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.11.1[${PYTHON_USEDEP}]
	dev-python/tf-nightly[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

Inherited Eclasses

python-r1
gs-pypi

Dependencies

RDEPEND

>=dev-python/six-1.10.0[]
	>=dev-python/numpy-1.11.1[]
	dev-python/tf-nightly[]

BDEPEND

>=dev-python/six-1.10.0[]
	>=dev-python/numpy-1.11.1[]
	dev-python/tf-nightly[]

Manifest for 20180719

Type File Size Source URLs
DIST tfp-nightly-0.2.0rc0.dev20180719.tar.gz 339556 bytes https://files.pythonhosted.org/packages/source//tfp-nightly/-0.2.0rc0.dev20180719.tar.gz