{
  "repodata": {
    "build": "py314h76ea683_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 >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "pyyaml",
      "sqlalchemy >=1.4.2",
      "tqdm"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "f7c138601206e0148d257ac71e21cbc2",
    "name": "optuna",
    "sha256": "559340a07c19bdb44c028a4f9dff7df0e14a3a876e387acdbe0373b99ba98543",
    "size": 1013001,
    "subdir": "linux-aarch64",
    "timestamp": 1793111819886,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/dv8CODTzQLysS9i1mLKRDw/1793112084/linux-aarch64/optuna-5.0.0-py314h76ea683_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "5c850ac23027975e44aef5048c8459b218eac690840fd97faacb5a42e772660712a2b6977504f5fb88ca5fea25c7b821c9125249b942b47e41a6c5f3ee05db0a"
  }
}