{
  "repodata": {
    "build": "py311h76ea683_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 >=3.11,<3.12.0a0",
      "pyyaml",
      "sqlalchemy >=1.4.2",
      "tqdm"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "78e93f2accbc39fb44db2435ccf41e14",
    "name": "optuna",
    "sha256": "1d762a20d5177b01e58290b587596291a350078cf40ff88fbea474a53dbd6100",
    "size": 878889,
    "subdir": "linux-aarch64",
    "timestamp": 1793112844345,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/PtuOouzCTO-hL2LKQxgWsQ/1793113549/linux-aarch64/optuna-5.0.0-py311h76ea683_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "9f819864d686450766531322f062ded5fb8678933af1310594b31f06a19268df72219efe020c4b4061ebd75412e45db49b091b66900b514b2cc6ecef862ef90b"
  }
}