| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 1.8.0 | 8 | ~amd64 ~x86 | 0 |
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="GQLAlchemy is a library developed to assist with writing and running queries in Memgraph."
HOMEPAGE="https://github.com/memgraph/gqlalchemy"
LICENSE="Apache-2.0"
SRC_URI="https://files.pythonhosted.org/packages/57/4a/42cd8bd9f55ca5e4b8f94940a51218ced068d54f985e9c3ecd1a2f369adc/gqlalchemy-${REALVERSION}.tar.gz"
SOURCEFILE="gqlalchemy-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="all arrow dgl docker torch-pyg"
DEPENDENCIES="dev-python/pymgclient[${PYTHON_USEDEP}]
<dev-python/networkx-4.0.0[${PYTHON_USEDEP}]
<dev-python/pydantic-3.0.0[${PYTHON_USEDEP}]
<dev-python/psutil-7.0[${PYTHON_USEDEP}]
dev-python/dacite[${PYTHON_USEDEP}]
dev-python/adlfs[${PYTHON_USEDEP}]
dev-python/neo4j[${PYTHON_USEDEP}]
<dev-python/numpy-3.0[${PYTHON_USEDEP}]
<=dev-python/pandas-2.2.3[${PYTHON_USEDEP}]
arrow? ( <dev-python/pyarrow-19.0.0[${PYTHON_USEDEP}] )
all? ( <dev-python/pyarrow-19.0.0[${PYTHON_USEDEP}] )
dgl? ( dev-python/torch[${PYTHON_USEDEP}] )
all? ( dev-python/torch[${PYTHON_USEDEP}] )
torch-pyg? ( dev-python/torch[${PYTHON_USEDEP}] )
all? ( <dev-python/docker-7.0.0[${PYTHON_USEDEP}] )
docker? ( <dev-python/docker-7.0.0[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
dev-python/pymgclient[${PYTHON_USEDEP}]
<dev-python/networkx-4.0.0[${PYTHON_USEDEP}]
<dev-python/pydantic-3.0.0[${PYTHON_USEDEP}]
<dev-python/psutil-7.0[${PYTHON_USEDEP}]
dev-python/dacite[${PYTHON_USEDEP}]
dev-python/adlfs[${PYTHON_USEDEP}]
dev-python/neo4j[${PYTHON_USEDEP}]
<dev-python/numpy-3.0[${PYTHON_USEDEP}]
<=dev-python/pandas-2.2.3[${PYTHON_USEDEP}]
arrow? ( <dev-python/pyarrow-19.0.0[${PYTHON_USEDEP}] )
all? ( <dev-python/pyarrow-19.0.0[${PYTHON_USEDEP}] )
dgl? ( dev-python/torch[${PYTHON_USEDEP}] )
all? ( dev-python/torch[${PYTHON_USEDEP}] )
torch-pyg? ( dev-python/torch[${PYTHON_USEDEP}] )
all? ( <dev-python/docker-7.0.0[${PYTHON_USEDEP}] )
docker? ( <dev-python/docker-7.0.0[${PYTHON_USEDEP}] )
dev-python/pymgclient[${PYTHON_USEDEP}]
<dev-python/networkx-4.0.0[${PYTHON_USEDEP}]
<dev-python/pydantic-3.0.0[${PYTHON_USEDEP}]
<dev-python/psutil-7.0[${PYTHON_USEDEP}]
dev-python/dacite[${PYTHON_USEDEP}]
dev-python/adlfs[${PYTHON_USEDEP}]
dev-python/neo4j[${PYTHON_USEDEP}]
<dev-python/numpy-3.0[${PYTHON_USEDEP}]
<=dev-python/pandas-2.2.3[${PYTHON_USEDEP}]
arrow? ( <dev-python/pyarrow-19.0.0[${PYTHON_USEDEP}] )
all? ( <dev-python/pyarrow-19.0.0[${PYTHON_USEDEP}] )
dgl? ( dev-python/torch[${PYTHON_USEDEP}] )
all? ( dev-python/torch[${PYTHON_USEDEP}] )
torch-pyg? ( dev-python/torch[${PYTHON_USEDEP}] )
all? ( <dev-python/docker-7.0.0[${PYTHON_USEDEP}] )
docker? ( <dev-python/docker-7.0.0[${PYTHON_USEDEP}] )
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | gqlalchemy-1.8.0.tar.gz | 69203 bytes | https://files.pythonhosted.org/packages/57/4a/42cd8bd9f55ca5e4b8f94940a51218ced068d54f985e9c3ecd1a2f369adc/gqlalchemy-1.8.0.tar.gz |