dev-python/sent2vec - 0.3.0 (pypi)

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Package Information

Description:
How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
Homepage:
https://github.com/pdrm83/sent2vec
License:
MIT

Ebuild Details

Version EAPI Keywords Slot
0.3.0 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="How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding."

HOMEPAGE="https://github.com/pdrm83/sent2vec"
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/transformers[${PYTHON_USEDEP}]
	dev-python/torch[${PYTHON_USEDEP}]
	dev-python/numpy[${PYTHON_USEDEP}]
	dev-python/gensim[${PYTHON_USEDEP}]
	dev-python/spacy[${PYTHON_USEDEP}]
	dev-python/pytest[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

Dependencies

RDEPEND

dev-python/transformers[${PYTHON_USEDEP}]
	dev-python/torch[${PYTHON_USEDEP}]
	dev-python/numpy[${PYTHON_USEDEP}]
	dev-python/gensim[${PYTHON_USEDEP}]
	dev-python/spacy[${PYTHON_USEDEP}]
	dev-python/pytest[${PYTHON_USEDEP}]

BDEPEND

dev-python/transformers[${PYTHON_USEDEP}]
	dev-python/torch[${PYTHON_USEDEP}]
	dev-python/numpy[${PYTHON_USEDEP}]
	dev-python/gensim[${PYTHON_USEDEP}]
	dev-python/spacy[${PYTHON_USEDEP}]
	dev-python/pytest[${PYTHON_USEDEP}]

Manifest for 0.3.0

Type File Size Source URLs
DIST sent2vec-0.3.0.tar.gz 8591 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/sent2vec/sent2vec-0.3.0.tar.gz