{
  "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": "214068a38198f34b61c2c7a3fb859bb4",
    "name": "optuna",
    "sha256": "a9dd855f2a79f44f20cc2960ab604919264f38c3f1a2ef6a4a3a46c61515f38c",
    "size": 961957,
    "subdir": "linux-aarch64",
    "timestamp": 1793118680663,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/GmPQ0h_oQgS5l1u9G739MQ/1793118984/linux-aarch64/optuna-5.0.0-py313h76ea683_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "059e32310c322bfd98d1bfbc61050c8931e76ad69e092ac75b8bc2e8065563989ac6a14cdebad8198bc20a1e0aac60d6d783c93bd4c0b2aced079ca16f9a2004"
  }
}