{
  "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": "3e7abff666febe730902f537441bf7cf",
    "name": "optuna",
    "sha256": "95f21d16659ef9771da8b896ab978cc8d4d62ee514744ba5542cf4b8dd718814",
    "size": 963511,
    "subdir": "linux-aarch64",
    "timestamp": 1793112843842,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/PtuOouzCTO-hL2LKQxgWsQ/1793113549/linux-aarch64/optuna-5.0.0-py313h76ea683_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "4044577f2fc97f9de83dd9d0fc9a355e9c5e4353f910bc8872cc30874f7e225970ddf1eace795bb06072e484da631b693396f04d63f85c84d09fd3b9497e3708"
  }
}