{
  "repodata": {
    "build": "py313h72bf3cc_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 >=1.17.0,<2.0",
      "pandas >=1.1.4,<2.0",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "scikit-learn >=0.24",
      "scipy >=1.4.1",
      "xgboost >=0.90,<2.0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "d69d0b279448c1a0685326485d48df9e",
    "name": "flaml",
    "sha256": "cf25af9e55babc172dfc735583b150a9862e672ac42b0c417fc2409d77e24138",
    "size": 600449,
    "subdir": "linux-aarch64",
    "timestamp": 1791976333572,
    "version": "2.3.3"
  },
  "s3": "builds/ci/prefect/eZKIhbXbQPiyGScLPEm0fA/1791976741/linux-aarch64/flaml-2.3.3-py313h72bf3cc_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "665541da2da22c07f6cecf09f2d39860e1d7c6426f79db28f764d914fb13cd56a92d2d20674aef4a173aae649cc3902f40f3602f1e4290bf8ec2cf47c24c4403"
  }
}