{
  "repodata": {
    "build": "py313hc6c3090_0",
    "build_number": 0,
    "constrains": [
      "catboost >=0.26",
      "hcrystalball ==0.1.10",
      "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"
    ],
    "depends": [
      "numpy >=1.17.0,<2.0",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "130f6395ea05907a33da1ef7296b3b72",
    "name": "flaml",
    "sha256": "422083f70a41dd4cca11e4c33216abb14b8a44494ce704b4cf859671c435442f",
    "size": 624189,
    "subdir": "linux-64",
    "timestamp": 1791979217172,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/fJsOwpH0RMq6-gsJAnCDNw/1791979867/linux-64/flaml-2.3.3-py313hc6c3090_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "4a674e2fa75905dd441cccb0abb7cad9d5d84834315e646179210dfe4a2ae926172b92a8c3a64881dbad433989e0cc033baaf4f90142e505808a40a7c2213106"
  }
}