{
  "repodata": {
    "build": "py314hd5d4913_0",
    "build_number": 0,
    "constrains": [
      "rich >=12.3.0",
      "jsonargparse >=4.39.0",
      "matplotlib-base >3.1",
      "tensorboardX >=2.2",
      "omegaconf >=2.2.3",
      "bitsandbytes >=0.45.2,<0.47.0",
      "hydra-core >=1.2.0"
    ],
    "depends": [
      "fsspec >=2022.5.0",
      "libtorch >=2.12.0,<2.13.0a0",
      "lightning-utilities >=0.10.0",
      "packaging >=23.0",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "pytorch >=2.1.0",
      "pytorch >=2.12.0,<2.13.0a0",
      "pyyaml >5.4",
      "torchmetrics >0.7.0",
      "tqdm >=4.57.0",
      "typing_extensions >4.5.0"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "d22fe49b2f47a212931e7eb8cf548463",
    "name": "pytorch-lightning",
    "sha256": "946dac1df689e28fc34a0d73e7891541d9582f2cd31bdde270e531bf6c34244c",
    "size": 1423137,
    "subdir": "win-64",
    "timestamp": 1784643752772,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/HpSELhv1Qs-X15cDQMkeFw/1784647242/win-64/pytorch-lightning-2.6.5-py314hd5d4913_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "20275ead5def443f89ae43a72403d3a3c271b4895f1a2e5be673156942aae96c19d917b3809b05615807101ba347b080a1257e2ea702082794b51abb029ec106"
  }
}