{
  "repodata": {
    "build": "py313h76ea683_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": "43f1c8c6adf36d3dbbb2465288144045",
    "name": "optuna",
    "sha256": "d1b11f13758e49cf473664c3c209541a33c9da0974e5868d39742701629699e1",
    "size": 963450,
    "subdir": "linux-aarch64",
    "timestamp": 1793111804101,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/dv8CODTzQLysS9i1mLKRDw/1793112084/linux-aarch64/optuna-5.0.0-py313h76ea683_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "0421234e8bbf3aa44e1aa2a7f946462057ac5898f21021fa849ae50aba75fd6987642031b05324455a773a60d5305ceaf64e63bc43493b19d8cf33d1b2e1be0b"
  }
}