{
  "repodata": {
    "build": "py314h06a4308_0",
    "build_number": 0,
    "constrains": [
      "matrixprofile >=1.1.10,<2.0.0",
      "dataframe >=2.9.0",
      "distributed >=2.11.0"
    ],
    "depends": [
      "cloudpickle",
      "numpy >=1.15.1",
      "pandas >=0.25.0",
      "patsy >=0.4.1",
      "python >=3.14,<3.15.0a0",
      "python_abi 3.14.* *_cp314",
      "pywavelets",
      "requests >=2.9.1",
      "scikit-learn >=0.22.0",
      "scipy >=1.14.0",
      "statsmodels >=0.13.0",
      "stumpy >=1.11.1",
      "tqdm >=4.10.0"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "0565254aa8fa4b4541544bc171e9475f",
    "name": "tsfresh",
    "sha256": "8f058008c6286cb159d7e950d7a5c7ad59948c3cb97dc554f2b84e4f811b5d02",
    "size": 200378,
    "subdir": "linux-64",
    "timestamp": 1781769484802,
    "version": "0.21.2"
  },
  "s3": "builds/ci/prefect/J4gucrVpQyeZQUHxO8usbw/1781769636/linux-64/tsfresh-0.21.2-py314h06a4308_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "6829026adb49b022d4d25f93a9e1652b6ea7807b7a72def564af4801d287041555850c8597e09106c4f995705e1fe9e7cd2b88ccc55897aa4546237929064c06"
  }
}