{
  "repodata": {
    "build": "py310h27657a1_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": "09fcef538d80fc638386cc000dcffe6e",
    "name": "optuna",
    "sha256": "d0c5c21af418c5ea400411be21af0f5611b7a983e09bc8d6e5c0c40e84ef5188",
    "size": 702277,
    "subdir": "linux-64",
    "timestamp": 1793112838999,
    "version": "5.0.0"
  },
  "s3": "builds/ci/prefect/PtuOouzCTO-hL2LKQxgWsQ/1793113529/linux-64/optuna-5.0.0-py310h27657a1_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "c56b498d029cc2eab2a2ca9b9b3a8d73c3c4043bcc50baf31ec6bc2f9363c50e178af3175aac5bcc15ee559376044e3d320f48480519144d357e5ac0baff1005"
  }
}