{
  "repodata": {
    "build": "py310h76ea683_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 >=3.10,<3.11.0a0",
      "pyyaml",
      "sqlalchemy >=1.4.2",
      "tqdm"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "2a5e4a9dc7e049dcf43f6cc019f4976b",
    "name": "optuna",
    "sha256": "162318d171f511dedfe9d5ffa3973540704847a1995e3431904495034a21c968",
    "size": 783348,
    "subdir": "linux-aarch64",
    "timestamp": 1793113883722,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/BdHn8yNiS3aHzNcfSqJQwA/1793115343/linux-aarch64/optuna-5.0.0-py310h76ea683_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "87e0d611e59ac45d88ef3d4ee44145af38fdc537038914e6fcdf1ea094ed0f0d5b2a13384520dbabc26009716a1683a7913046fb9e4daa6ae09c195998c6e403"
  }
}