{
  "repodata": {
    "build": "py310h72bf3cc_0",
    "build_number": 0,
    "constrains": [
      "catboost >=1.2,<=1.2.10",
      "holidays <0.14",
      "joblibspark >=0.5.0",
      "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"
    ],
    "depends": [
      "numpy >=1.17.0,<2.0",
      "python >=3.10,<3.11.0a0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "808cf75e905ec61dc68cc6534b405592",
    "name": "flaml",
    "sha256": "7c38a3aa43180e0b6a9b2f700f19ca8c43ebd40c00b0af379b31dce0de61d83a",
    "size": 489413,
    "subdir": "linux-aarch64",
    "timestamp": 1792155457373,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/LDaJOTCESXqBzhg7S5hFVA/1792155676/linux-aarch64/flaml-2.3.3-py310h72bf3cc_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "d787615ba9bb4776938c03c4abfcbb533ed828e59bc115a3b5e4811cf09921a342ece6cc61fdf89dade80135feb3da01552fa1a8aa8dfd3407daff394d3f3c09"
  }
}