Loading pkgs/development/python-modules/optuna/default.nix +107 −60 Original line number Diff line number Diff line { lib , buildPythonPackage , fetchFromGitHub , pytest , mock , bokeh , plotly , chainer , xgboost , mpi4py , lightgbm , keras , mxnet , scikit-optimize , tensorflow , pytestCheckHook , pythonOlder , alembic , boto3 , botorch , catboost , cma , sqlalchemy , numpy , scipy , six , cliff , cmaes , colorlog , distributed , fakeredis , fastai , lightgbm , matplotlib , mlflow , moto , numpy , packaging , pandas , alembic , plotly , pytest-xdist , pytorch-lightning , pyyaml , redis , scikit-learn , scikit-optimize , scipy , setuptools , shap , sqlalchemy , tensorflow , torch , torchaudio , torchvision , tqdm , typing , pythonOlder , isPy27 , wandb , wheel , xgboost }: buildPythonPackage rec { pname = "optuna"; version = "3.1.0"; disabled = isPy27; version = "3.3.0"; format = "pyproject"; disabled = pythonOlder "3.7"; src = fetchFromGitHub { owner = "optuna"; repo = pname; repo = "optuna"; rev = "refs/tags/v${version}"; hash = "sha256-dNS3LEWP/Ul1z60iZirFEX30Frc5ZFQLNTgUkT9vLNQ="; hash = "sha256-uHv8uEJOQO1+AeNSxBtnCt6gDQHLT1RToF4hfolVVX0="; }; nativeCheckInputs = [ pytest mock bokeh plotly chainer xgboost mpi4py lightgbm keras mxnet scikit-optimize tensorflow cma nativeBuildInputs = [ setuptools wheel ]; propagatedBuildInputs = [ sqlalchemy numpy scipy six cliff colorlog pandas alembic cmaes colorlog numpy packaging sqlalchemy tqdm ] ++ lib.optionals (pythonOlder "3.5") [ typing pyyaml ]; configurePhase = lib.optionalString (! pythonOlder "3.5") '' substituteInPlace setup.py \ --replace "'typing'," "" ''; passthru.optional-dependencies = { integration = [ botorch catboost cma distributed fastai lightgbm mlflow pandas # pytorch-ignite pytorch-lightning scikit-learn scikit-optimize shap tensorflow torch torchaudio torchvision wandb xgboost ]; optional = [ boto3 botorch matplotlib pandas plotly redis scikit-learn ]; }; checkPhase = '' pytest --ignore tests/test_cli.py \ --ignore tests/integration_tests/test_chainermn.py \ --ignore tests/integration_tests/test_pytorch_lightning.py \ --ignore tests/integration_tests/test_pytorch_ignite.py \ --ignore tests/integration_tests/test_fastai.py preCheck = '' export PATH=$out/bin:$PATH ''; nativeCheckInputs = [ fakeredis moto pytest-xdist pytestCheckHook scipy ] ++ fakeredis.optional-dependencies.lua ++ passthru.optional-dependencies.optional; pytestFlagsArray = [ "-m 'not integration'" ]; disabledTestPaths = [ # require unpackaged kaleido and building it is a bit difficult "tests/visualization_tests" ]; pythonImportsCheck = [ "optuna" ]; meta = with lib; { broken = true; # Dashboard broken, other build failures. description = "A hyperparameter optimization framework"; homepage = "https://optuna.org/"; changelog = "https://github.com/optuna/optuna/releases/tag/${src.rev}"; license = licenses.mit; maintainers = [ ]; maintainers = with maintainers; [ natsukium ]; }; } Loading
pkgs/development/python-modules/optuna/default.nix +107 −60 Original line number Diff line number Diff line { lib , buildPythonPackage , fetchFromGitHub , pytest , mock , bokeh , plotly , chainer , xgboost , mpi4py , lightgbm , keras , mxnet , scikit-optimize , tensorflow , pytestCheckHook , pythonOlder , alembic , boto3 , botorch , catboost , cma , sqlalchemy , numpy , scipy , six , cliff , cmaes , colorlog , distributed , fakeredis , fastai , lightgbm , matplotlib , mlflow , moto , numpy , packaging , pandas , alembic , plotly , pytest-xdist , pytorch-lightning , pyyaml , redis , scikit-learn , scikit-optimize , scipy , setuptools , shap , sqlalchemy , tensorflow , torch , torchaudio , torchvision , tqdm , typing , pythonOlder , isPy27 , wandb , wheel , xgboost }: buildPythonPackage rec { pname = "optuna"; version = "3.1.0"; disabled = isPy27; version = "3.3.0"; format = "pyproject"; disabled = pythonOlder "3.7"; src = fetchFromGitHub { owner = "optuna"; repo = pname; repo = "optuna"; rev = "refs/tags/v${version}"; hash = "sha256-dNS3LEWP/Ul1z60iZirFEX30Frc5ZFQLNTgUkT9vLNQ="; hash = "sha256-uHv8uEJOQO1+AeNSxBtnCt6gDQHLT1RToF4hfolVVX0="; }; nativeCheckInputs = [ pytest mock bokeh plotly chainer xgboost mpi4py lightgbm keras mxnet scikit-optimize tensorflow cma nativeBuildInputs = [ setuptools wheel ]; propagatedBuildInputs = [ sqlalchemy numpy scipy six cliff colorlog pandas alembic cmaes colorlog numpy packaging sqlalchemy tqdm ] ++ lib.optionals (pythonOlder "3.5") [ typing pyyaml ]; configurePhase = lib.optionalString (! pythonOlder "3.5") '' substituteInPlace setup.py \ --replace "'typing'," "" ''; passthru.optional-dependencies = { integration = [ botorch catboost cma distributed fastai lightgbm mlflow pandas # pytorch-ignite pytorch-lightning scikit-learn scikit-optimize shap tensorflow torch torchaudio torchvision wandb xgboost ]; optional = [ boto3 botorch matplotlib pandas plotly redis scikit-learn ]; }; checkPhase = '' pytest --ignore tests/test_cli.py \ --ignore tests/integration_tests/test_chainermn.py \ --ignore tests/integration_tests/test_pytorch_lightning.py \ --ignore tests/integration_tests/test_pytorch_ignite.py \ --ignore tests/integration_tests/test_fastai.py preCheck = '' export PATH=$out/bin:$PATH ''; nativeCheckInputs = [ fakeredis moto pytest-xdist pytestCheckHook scipy ] ++ fakeredis.optional-dependencies.lua ++ passthru.optional-dependencies.optional; pytestFlagsArray = [ "-m 'not integration'" ]; disabledTestPaths = [ # require unpackaged kaleido and building it is a bit difficult "tests/visualization_tests" ]; pythonImportsCheck = [ "optuna" ]; meta = with lib; { broken = true; # Dashboard broken, other build failures. description = "A hyperparameter optimization framework"; homepage = "https://optuna.org/"; changelog = "https://github.com/optuna/optuna/releases/tag/${src.rev}"; license = licenses.mit; maintainers = [ ]; maintainers = with maintainers; [ natsukium ]; }; }
