{
  "repodata": {
    "build": "py314h72bf3cc_0",
    "build_number": 0,
    "constrains": [
      "catboost >=0.26",
      "hcrystalball >=0.1.10,<0.2",
      "holidays <0.14",
      "joblibspark >=0.5.0",
      "openai >=0.27.4,<0.30",
      "optuna >=2.8.0,<=3.6.1",
      "prophet >=1.0.1",
      "pyspark >=3.2.0",
      "pytorch-forecasting >=0.9.0",
      "ray ~=1.13",
      "statsmodels >=0.12.2",
      "torch >=1.7,!=1.12.0",
      "transformers >=4.26,<5"
    ],
    "depends": [
      "lightgbm >=2.3.1",
      "numpy >=2.0,<2.2.2",
      "pandas >=1.1.4,<2.0",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "scikit-learn >=0.24",
      "scipy >=1.4.1",
      "xgboost >=0.90,<2.0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "4566d46137b1a6994ddc154ed38b1745",
    "name": "flaml",
    "sha256": "7c990cef4cfefd9ffde87b5c8089c8fb287fdb066c9a4b16b24b41e0c7e2bd02",
    "size": 643748,
    "subdir": "linux-aarch64",
    "timestamp": 1791977749079,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/b9BN7XNQQgKIEUCuHN13pw/1791977875/linux-aarch64/flaml-2.3.3-py314h72bf3cc_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "acf15cff7ff63e2e2e80fcda8457af78a9d03bc492c278ef49204673f189e80fa605f37b94d2847583d24a262a500fecc3feefa3b5c78e99333445d127206d0c"
  }
}