{
  "repodata": {
    "build": "cuda130_py313h247a161_100",
    "build_number": 100,
    "constrains": [
      "pandas >=1.2",
      "pyspark >=4.0"
    ],
    "depends": [
      "_py-xgboost-mutex 2.0 gpu_*",
      "libxgboost 3.3.0 cuda130_h79399d4_100",
      "numpy",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "scipy"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "f1d70f0989c19b117eb78b9337c7850b",
    "name": "py-xgboost",
    "sha256": "5c45818573da15441051555822d713935d06aa50bd62ea580a7253fb31862b9e",
    "size": 498462,
    "subdir": "linux-64",
    "timestamp": 1783504513422,
    "version": "3.3.0"
  },
  "s3": "builds/ci/prefect/JvrNVbj6QaOVz6VTmf52Tw/1783507371/linux-64/py-xgboost-3.3.0-cuda130_py313h247a161_100.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "088611cfac57bf94571cdec7348c98cafe21be6f621f13f565f53ff4715e2fd2d04405d0a567f9ee9b3c991d6289c57541037d9dc713f17410f51beb47264307"
  }
}