{
  "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": "a5c925b9b2124fdd3da6ff0d1087360c",
    "name": "flaml",
    "sha256": "3dac28ef5e294b4c38e284a8b73c64df64053f66a242aaffaaf2e6147465b628",
    "size": 450279,
    "subdir": "linux-aarch64",
    "timestamp": 1792155457373,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/LDaJOTCESXqBzhg7S5hFVA/1792155676/linux-aarch64/flaml-2.3.3-py310h72bf3cc_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "cc7f9ce9e2b91387d58a8d6a04371c1d329d1e84b85b07c5c2260c90f1770988b466ef06b3aaf3b6698e3dc0c9610a172312947bfb6fb5c573e1805229af570e"
  }
}