{
  "repodata": {
    "build": "cuda130_py313h247a161_100",
    "build_number": 100,
    "constrains": [
      "pandas >=1.2",
      "pyspark >=4.0"
    ],
    "depends": [
      "_py-xgboost-mutex 2.0 gpu_*",
      "libxgboost 3.4.1 cuda130_h79399d4_100",
      "numpy",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "scipy"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "fdc682c1607935a3fa9071a3ae3f119f",
    "name": "py-xgboost",
    "sha256": "d0d01dad45cc22a0e18e7314d830b543ec0b5be5a5d4d5a5a1ad8d69a01e7487",
    "size": 522301,
    "subdir": "linux-64",
    "timestamp": 1790154941890,
    "version": "3.4.1"
  },
  "s3": "builds/ci/prefect/HP1AjqkKQOKgksdBsnPPTw/1790158017/linux-64/py-xgboost-3.4.1-cuda130_py313h247a161_100.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "1b14655857c1dc9f3e73cf4fde8b510b1c4232311eb629ec0b85fd3f86e7c9f8fd11c2d33fc7e8668275e138c08c4a615661f84e90d9d8eb2ba37f6dc59dc70d"
  }
}