{
  "repodata": {
    "build": "py314hc6c3090_0",
    "build_number": 0,
    "constrains": [
      "catboost >=0.26",
      "hcrystalball >=0.9.0",
      "holidays <0.14",
      "joblib <=1.3.2",
      "joblibspark >=0.5.0",
      "openai ==0.27.8",
      "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",
      "transformers >=4.26,<5"
    ],
    "depends": [
      "numpy >=1.17.0,<2.0",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "9ea8e25b82ba68baa6a8c5fd02d3f875",
    "name": "flaml",
    "sha256": "598f41a15e1eb8ccfe29ef20028053455424380bd4207a762e810bd65002c2d7",
    "size": 648375,
    "subdir": "linux-64",
    "timestamp": 1791978901245,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/ZiY73044QlKb0LHMsl7Zbw/1791979232/linux-64/flaml-2.3.3-py314hc6c3090_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "11f0ffe381b123f6123def537f1f7557651e05268ff8606d7a5e3e6740def700339bf213ca1b7fec9b9cb2e790b0e94d6356910c439beb2467c31b93daeaa506"
  }
}