{
  "repodata": {
    "build": "py312hbf50808_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 >=3.12,<3.13.0a0",
      "pyyaml",
      "sqlalchemy >=1.4.2",
      "tqdm"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "00c3a1d94aeeecd996bd48239b29e85b",
    "name": "optuna",
    "sha256": "36ad011439617f712552a7cfecb117f9d5af808b745ac1b3bf55a71429a9288a",
    "size": 890375,
    "subdir": "win-64",
    "timestamp": 1793111886059,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/dv8CODTzQLysS9i1mLKRDw/1793112079/win-64/optuna-5.0.0-py312hbf50808_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "df9ee632fd816c9c2cbf510eaa9077e42cdc3d2690f8d147d3695ddb549c02a01775e89fe557076660d211c83252109b485a6a121a807799d938e6d3e40cad03"
  }
}