{
  "repodata": {
    "build": "py310hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "distributed >=2.11.0",
      "dataframe >=2.9.0",
      "matrixprofile >=1.1.10,<2.0.0"
    ],
    "depends": [
      "cloudpickle",
      "numpy >=1.15.1",
      "pandas >=0.25.0",
      "patsy >=0.4.1",
      "python >=3.10,<3.11.0a0",
      "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": "b0b2c16dd48b98bb456ef1410f0f38f0",
    "name": "tsfresh",
    "sha256": "2906637e453541850ffe5752248f0f3d50d0cc0bfec72caeaf298042926a163d",
    "size": 167452,
    "subdir": "linux-aarch64",
    "timestamp": 1781685158283,
    "version": "0.21.2"
  },
  "s3": "builds/ci/prefect/eFbqacvkTe-RMNZNwGNgrQ/1781685284/linux-aarch64/tsfresh-0.21.2-py310hd43f75c_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "339d176da084431d8d96cae711577c248f5134fb3f3a9a02858fb66410ca11fb39574a4bff617b3fa8962abec9e47276fcea9cea21bb28ee518c1076bbcb4a0f"
  }
}