{
  "repodata": {
    "build": "py312h72bf3cc_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 >=3.12,<3.13.0a0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "4f137765f45dd39bd83776d2979d8195",
    "name": "flaml",
    "sha256": "76e42dca68f5f69602ea4170393a44cc0a79906c7baadcd008cce920cca8b06e",
    "size": 620037,
    "subdir": "linux-aarch64",
    "timestamp": 1791979219955,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/fJsOwpH0RMq6-gsJAnCDNw/1791979872/linux-aarch64/flaml-2.3.3-py312h72bf3cc_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "f189e35e13b52691276e74bd1ce9255ec969498a21465cff2b9474724d78747a8cd2ff7af9301b56275e26a9dc14a59a3be0756e45016a70cd1a223ed6bf8a0e"
  }
}