{
  "repodata": {
    "build": "py313h27657a1_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 >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "pyyaml",
      "sqlalchemy >=1.4.2",
      "tqdm"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "27957f0228b70ef11a0cca710ff05eef",
    "name": "optuna",
    "sha256": "f349ba87f7b0e0a17919d21403762c45252bc29cc4b2730814bc93b7cafb6e72",
    "size": 963260,
    "subdir": "linux-64",
    "timestamp": 1793111830774,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/dv8CODTzQLysS9i1mLKRDw/1793112095/linux-64/optuna-5.0.0-py313h27657a1_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "4deda95e12ab66507606cf97d182746d8e06e934b6d0ef751d1dfed6b9c6b2c8d9359d962777cf5cef3276420d98c012e9db19c0bc9a07fa810834e728995b01"
  }
}