{
  "repodata": {
    "build": "py312hf90cdd8_0",
    "build_number": 0,
    "constrains": [
      "bitsandbytes >=0.45.2,<0.47.0",
      "omegaconf >=2.2.3",
      "jsonargparse >=4.39.0",
      "rich >=12.3.0",
      "tensorboardX >=2.2",
      "matplotlib-base >3.1",
      "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 >=3.12,<3.13.0a0",
      "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": "8025ab4e97ffc14efe1b4d526f693eaf",
    "name": "pytorch-lightning",
    "sha256": "1755bbb2e78036e38841ee79f6e7bd6022954ebd553eab11808c47ab71991154",
    "size": 1348012,
    "subdir": "linux-64",
    "timestamp": 1784643755232,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/HpSELhv1Qs-X15cDQMkeFw/1784647260/linux-64/pytorch-lightning-2.6.5-py312hf90cdd8_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "c9aab14bdcbc709a5acc491d151c6472b18fc29304402efbf385d7ba0e3a3b1101732c1971a257052cbb5f2ec15cefde0b542a0b48a10914d5a6213a7589e706"
  }
}