{
  "repodata": {
    "build": "py310h3ea3b9a_0",
    "build_number": 0,
    "constrains": [
      "catboost >=1.2,<=1.2.10",
      "holidays <0.14",
      "joblibspark >=0.5.0",
      "optuna >=2.8.0,<=3.6.1",
      "prophet >=1.0.1",
      "pyspark >=3.2.0",
      "pytorch-forecasting >=0.9.0",
      "ray >=1.13,<2.dev0",
      "statsmodels >=0.12.2",
      "torch >=1.7,!=1.12.0",
      "vowpalwabbit >=8.10.0,<9.0.0"
    ],
    "depends": [
      "numpy >=1.17.0",
      "python >=3.10,<3.11.0a0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "b2c157e8ab76758b0c919ab3fa568966",
    "name": "flaml",
    "sha256": "96e4d12b37aef5831a024b3670748570f496cbdd4ed33ccd1e9a3ba0e8d05329",
    "size": 486203,
    "subdir": "win-64",
    "timestamp": 1791989771888,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/ehGEJXgUQ26YEDv8r9daLg/1791989955/win-64/flaml-2.3.3-py310h3ea3b9a_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "8c129d4895cd85729a9fdb062414f5bc900c298bb258d1251c4c68d87c5f73c41dfe04e18a02b1704f03f186ac0942eb094a7f1a7406a62c40d7d84d4538b00b"
  }
}