{
  "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": "ecf96483a9a7bd3ffefe52ae1e932bca",
    "name": "optuna",
    "sha256": "bf3a76dd6c9ad4c0ab217998889bfff74d0d2f7fea3ad18c26af440b8f122672",
    "size": 959107,
    "subdir": "linux-64",
    "timestamp": 1793112853911,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/PtuOouzCTO-hL2LKQxgWsQ/1793113529/linux-64/optuna-5.0.0-py313h27657a1_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "56b3dd384c71267aa5bbdf6024d3f098013c8a047225cd4a91ceafdf9142d8ac2a51fbd5c692b35496398e2e7e3a455c95b76d7ac6679821adf355c4900d2c05"
  }
}