| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 1.9.1 | 8 | ~amd64 ~x86 | 0 |
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="This is a module to predict the products category using artificial inteligence."
HOMEPAGE="https://bitbucket.org/nksistemasdeinformacao/servicos-biodigital/src/master/"
LICENSE="Apache-2.0"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="dev"
DEPENDENCIES="dev-python/tensorflow[${PYTHON_USEDEP}]
~dev-python/numpy-1.19.1[${PYTHON_USEDEP}]
dev-python/tensorflow-datasets[${PYTHON_USEDEP}]
~dev-python/unidecode-1.1.1[${PYTHON_USEDEP}]
dev-python/nltk[${PYTHON_USEDEP}]
dev-python/gdown[${PYTHON_USEDEP}]
~dev-python/scikit-learn-0.23.2[${PYTHON_USEDEP}]
dev-python/symspellpy[${PYTHON_USEDEP}]
dev? ( >=dev-python/pytest-3.7[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
dev-python/tensorflow[${PYTHON_USEDEP}]
~dev-python/numpy-1.19.1[${PYTHON_USEDEP}]
dev-python/tensorflow-datasets[${PYTHON_USEDEP}]
~dev-python/unidecode-1.1.1[${PYTHON_USEDEP}]
dev-python/nltk[${PYTHON_USEDEP}]
dev-python/gdown[${PYTHON_USEDEP}]
~dev-python/scikit-learn-0.23.2[${PYTHON_USEDEP}]
dev-python/symspellpy[${PYTHON_USEDEP}]
dev? ( >=dev-python/pytest-3.7[${PYTHON_USEDEP}] )
dev-python/tensorflow[${PYTHON_USEDEP}]
~dev-python/numpy-1.19.1[${PYTHON_USEDEP}]
dev-python/tensorflow-datasets[${PYTHON_USEDEP}]
~dev-python/unidecode-1.1.1[${PYTHON_USEDEP}]
dev-python/nltk[${PYTHON_USEDEP}]
dev-python/gdown[${PYTHON_USEDEP}]
~dev-python/scikit-learn-0.23.2[${PYTHON_USEDEP}]
dev-python/symspellpy[${PYTHON_USEDEP}]
dev? ( >=dev-python/pytest-3.7[${PYTHON_USEDEP}] )
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | nkia-1.9.1.tar.gz | 42906 bytes | https://files.pythonhosted.org/packages/source/${REALNAME::1}/nkia/nkia-1.9.1.tar.gz |