{
  "repodata": {
    "build": "py310hbf50808_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": "38cb3c012e8f2553db45179a76d7fd2d",
    "name": "optuna",
    "sha256": "6f11a713527dc011fba9f41455e3a85055ebb26b885fd8dc3dbce3a6dfa30fd2",
    "size": 814076,
    "subdir": "win-64",
    "timestamp": 1793111874866,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/dv8CODTzQLysS9i1mLKRDw/1793112079/win-64/optuna-5.0.0-py310hbf50808_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "195142a3fc9845e61ce3dbb64acd5e0e938a83f35da7d371b2eb932b48992f5e733a12e16452ff30565aae09484770b74a52f38c536122d56c24944b4d995c09"
  }
}