{
  "repodata": {
    "build": "py310h72bf3cc_0",
    "build_number": 0,
    "constrains": [
      "catboost >=0.26,<1.2",
      "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 >=3.10,<3.11.0a0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "cb42a5f5e96be7e44ccb94b076408b43",
    "name": "flaml",
    "sha256": "58e051f49a023356a02159c459d86be9d00e68fa0aed35216c8594528953bd3e",
    "size": 491320,
    "subdir": "linux-aarch64",
    "timestamp": 1791980225356,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/WhpV0BDGTpi6ZdKJThYg_w/1791980861/linux-aarch64/flaml-2.3.3-py310h72bf3cc_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "8445f72d09c461a4e77e8a5bcb1158a58f86cd048c9716201e019b93e9035ca8d5c3cfcad1ecfbb3a6ce17be4d45f1f8a4e0d2ffa37ab52d371b3f2dee5d4002"
  }
}