{
  "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": "235fd6b3fc51d8e7df5f72c0d76a8491",
    "name": "flaml",
    "sha256": "fda4c7d9ae90b12e99e9cd70179f5057f4d8aff95a36c8cf737a2dc73bc809fd",
    "size": 450815,
    "subdir": "linux-aarch64",
    "timestamp": 1791979911842,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/QDDGy0A4RkCmPTG4Im0UWA/1791980176/linux-aarch64/flaml-2.3.3-py310h72bf3cc_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "c4f9f48d5a5a60cde3186271ad5be60309e14e3aba9f51a6c820fbf7b3b2a0d64e4edb3c0e71b742533e286b444811ba698f02bec6b30390e575e37043364501"
  }
}