diff --git a/misc/py-optuna/Makefile b/misc/py-optuna/Makefile index 5f04910d845d..f1eb8084cb61 100644 --- a/misc/py-optuna/Makefile +++ b/misc/py-optuna/Makefile @@ -1,5 +1,5 @@ PORTNAME= optuna -DISTVERSION= 4.0.0 +DISTVERSION= 4.3.0 CATEGORIES= misc # machine-learning MASTER_SITES= PYPI PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} @@ -17,22 +17,38 @@ RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}alembic>=1.5.0:databases/py-alembic@${PY_FLA ${PYTHON_PKGNAMEPREFIX}colorlog>0:devel/py-colorlog@${PY_FLAVOR} \ ${PYNUMPY} \ ${PYTHON_PKGNAMEPREFIX}packaging>=20.0:devel/py-packaging@${PY_FLAVOR} \ - ${PYTHON_PKGNAMEPREFIX}sqlalchemy14>=1.3.0:databases/py-sqlalchemy14@${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} + ${PYTHON_PKGNAMEPREFIX}pyyaml>0:devel/py-pyyaml@${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} + ${PYTHON_PKGNAMEPREFIX}scipy>=1.9.2:science/py-scipy@${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 # 2 tests fail, see https://github.com/optuna/optuna/issues/5658 +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 diff --git a/misc/py-optuna/distinfo b/misc/py-optuna/distinfo index d6ae50a12663..2cb4e015da7d 100644 --- a/misc/py-optuna/distinfo +++ b/misc/py-optuna/distinfo @@ -1,3 +1,3 @@ -TIMESTAMP = 1725348294 -SHA256 (optuna-4.0.0.tar.gz) = 844949f09e2a7353ab414e9cfd783cf0a647a65fc32a7236212ed6a37fe08973 -SIZE (optuna-4.0.0.tar.gz) = 280224 +TIMESTAMP = 1745689301 +SHA256 (optuna-4.3.0.tar.gz) = b3866842a84bc0bbb9906363bd846cfc39d09d3196265354bfdfda6a2f123b84 +SIZE (optuna-4.3.0.tar.gz) = 457906