From e9278c298a0fb6ab88883b514e58aeaca39c637c Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 13 Apr 2026 10:11:30 +0000 Subject: [PATCH] Bump optuna from 4.1.0 to 4.8.0 Bumps [optuna](https://github.com/optuna/optuna) from 4.1.0 to 4.8.0. - [Release notes](https://github.com/optuna/optuna/releases) - [Commits](https://github.com/optuna/optuna/compare/v4.1.0...v4.8.0) --- updated-dependencies: - dependency-name: optuna dependency-version: 4.8.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] --- poetry.lock | 19 +++++++++---------- pyproject.toml | 2 +- 2 files changed, 10 insertions(+), 11 deletions(-) diff --git a/poetry.lock b/poetry.lock index 1639371..c26bc79 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3306,14 +3306,14 @@ pynndescent = ["pynndescent (>=0.5.0,<0.6.0)"] [[package]] name = "optuna" -version = "4.1.0" +version = "4.8.0" description = "A hyperparameter optimization framework" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "optuna-4.1.0-py3-none-any.whl", hash = "sha256:1763856b01c9238594d9d21db92611aac9980e9a6300bd658a7c6464712c704e"}, - {file = "optuna-4.1.0.tar.gz", hash = "sha256:b364e87a2038f9946c5e2770c130597538aac528b4a82c1cab5267f337ea7679"}, + {file = "optuna-4.8.0-py3-none-any.whl", hash = "sha256:c57a7682679c36bfc9bca0da430698179e513874074b71bebedb0334964ab930"}, + {file = "optuna-4.8.0.tar.gz", hash = "sha256:6f7043e9f8ecb5e607af86a7eb00fb5ec2be26c3b08c201209a73d36aff37a38"}, ] [package.dependencies] @@ -3326,11 +3326,10 @@ sqlalchemy = ">=1.4.2" tqdm = "*" [package.extras] -benchmark = ["asv (>=0.5.0)", "cma", "virtualenv"] -checking = ["black", "blackdoc", "flake8", "isort", "mypy", "mypy-boto3-s3", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing-extensions (>=3.10.0.0)"] -document = ["ase", "cmaes (>=0.10.0)", "fvcore", "kaleido", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-rtd-theme (>=1.2.0)", "torch", "torchvision"] -optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch ; python_version <= \"3.12\""] -test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch ; python_version <= \"3.12\""] +checking = ["mypy", "mypy_boto3_s3", "ruff", "scipy-stubs ; python_version >= \"3.10\"", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing_extensions (>=3.10.0.0)"] +document = ["ase", "cmaes (>=0.12.0)", "fvcore", "kaleido (<0.4)", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-notfound-page", "sphinx_rtd_theme (>=1.2.0)", "torch", "torchvision"] +optional = ["boto3", "cmaes (>=0.12.0)", "google-cloud-storage", "greenlet", "grpcio", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "protobuf (>=5.28.1)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"] +test = ["fakeredis[lua]", "greenlet", "grpcio", "kaleido (<0.4)", "moto", "protobuf (>=5.28.1)", "pytest", "pytest-xdist", "scipy (>=1.9.2)", "torch"] [[package]] name = "packaging" @@ -6052,4 +6051,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.12" -content-hash = "d5a868119b2c68729ba0315368992c7f0a377c64af44012f01fee013aa8c1799" +content-hash = "b7d6f3c355e94e71641b578ae3f47bc3ac8a910d461e8ff3b7f41ea0712f0bba" diff --git a/pyproject.toml b/pyproject.toml index c79dd66..ed85231 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -41,7 +41,7 @@ tensorboard = "2.20.0" # inspection tool for deep learning openTSNE = "1.0.2" # fast t-SNE implementation SAlib = "1.5.2" # sensitivity analysis library scikit-image = "0.25.0" # image processing library -optuna = "4.1.0" # hyperparameter optimization library +optuna = "4.8.0" # hyperparameter optimization library hyppo = "^0.5.1" # hyppo future = "1.0.0" # Comptability between python2/3 pcntoolkit ="0.33" # PCN Toolkit Framework