{
  "repodata": {
    "build": "py310h27657a1_0",
    "build_number": 0,
    "constrains": [
      "cmaes >=0.12.0",
      "matplotlib-base !=3.6.0",
      "plotly >=4.9.0",
      "protobuf >=5.28.1",
      "scikit-learn >=0.24.2"
    ],
    "depends": [
      "alembic >=1.5.0",
      "colorlog",
      "numpy",
      "packaging >=20.0",
      "python >=3.10,<3.11.0a0",
      "pyyaml",
      "sqlalchemy >=1.4.2",
      "tqdm"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "3706d96cf59ac04e7e8858954cc6deb7",
    "name": "optuna",
    "sha256": "740a00278352492464146cf4963e63784b052694e9ec085b10bac2379255c8c7",
    "size": 785665,
    "subdir": "linux-64",
    "timestamp": 1793111450956,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/B44s_RDgS72QDaPWpSbIEg/1793111710/linux-64/optuna-5.0.0-py310h27657a1_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "35fd290b0ec22249f83566902cc4785ba12348ad401a11f011a6eac961453b07935407e50b7684f7223f85fdec7f9b6edd79b5fde09b68fd2ef99b23f138210c"
  }
}