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PORTNAME= optuna
DISTVERSION= 4.3.0
CATEGORIES= misc # machine-learning
MASTER_SITES= PYPI
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Hyperparameter optimization framework
WWW= https://optuna.org/
LICENSE= MIT
LICENSE_FILE= ${WRKSRC}/LICENSE
BUILD_DEPENDS= ${PY_SETUPTOOLS} \
${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}alembic>=1.5.0:databases/py-alembic@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}colorlog>0:devel/py-colorlog@${PY_FLAVOR} \
${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}packaging>=20.0:devel/py-packaging@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}sqlalchemy20>=1.4.2:databases/py-sqlalchemy20@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}tqdm>0:misc/py-tqdm@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pyyaml>0:devel/py-pyyaml@${PY_FLAVOR}
RUN_DEPENDS_optional= \
${PYTHON_PKGNAMEPREFIX}boto3>0:www/py-boto3@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}cmaes>=0.10.0:math/py-cmaes@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}google-cloud-storage>0:www/py-google-cloud-storage@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}grpcio>0:devel/py-grpcio@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}matplotlib>=3.6.0:math/py-matplotlib@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pandas>0:math/py-pandas@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}plotly>=4.9.0:graphics/py-plotly@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}protobuf>=5.28.1:devel/py-protobuf@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pytorch>0:misc/py-pytorch@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}redis>0:databases/py-redis@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scikit-learn>=0.24.2:science/py-scikit-learn@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR}
TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}coverage>=0:devel/py-coverage@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}fakeredis>=0:databases/py-fakeredis@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}moto>=0:devel/py-moto@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pytest>=0:devel/py-pytest@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pytorch>=0:misc/py-pytorch@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scipy>=1.9.2:science/py-scipy@${PY_FLAVOR} \
${RUN_DEPENDS_optional}
# tests also depend on Kaleido but it isn't clear how to build it
USES= python
USE_PYTHON= pep517 concurrent autoplist pytest
NO_ARCH= yes
TEST_ENV= ${MAKE_ENV} PATH=${STAGEDIR}${PREFIX}/bin:${PATH} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
# tests as of 4.3.0: 670 failed, 4925 passed, 119 skipped, 16 warnings, 4 errors in 879.29s (0:14:39), many tests failed due to missing kaleido module + somother failures
.include <bsd.port.mk>
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