{
  "repodata": {
    "build": "py314h27657a1_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 >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "pyyaml",
      "sqlalchemy >=1.4.2",
      "tqdm"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "141b9fd0de6d6b68fab0af0e70c2a1dd",
    "name": "optuna",
    "sha256": "d350367e892238852fa4be09cd8c489b4077ef3046a24fb606f36231927f30d3",
    "size": 1013954,
    "subdir": "linux-64",
    "timestamp": 1793111904102,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/dv8CODTzQLysS9i1mLKRDw/1793112095/linux-64/optuna-5.0.0-py314h27657a1_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "5b9818b9f036e485a9f0d7e20ead4b16158b3b6a22ba1e3519f0a8a08005574a6526ce7520eef0434533e6e4c136c037e0ea1f4b34edc98bd32f285d5db87501"
  }
}