{
  "repodata": {
    "build": "py313hd43f75c_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 >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "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": "c50c2bbd494e34c584a182eff8118b0f",
    "name": "tsfresh",
    "sha256": "4eb03d8f7fc69541e7ce673eacba2d7608217a46efce15aa9f72fa5934d5bdeb",
    "size": 195028,
    "subdir": "linux-aarch64",
    "timestamp": 1781771107051,
    "version": "0.21.2"
  },
  "s3": "builds/ci/prefect/NvSUhhkSTKW0TAitZhX6Ug/1781771601/linux-aarch64/tsfresh-0.21.2-py313hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "2f900ae7f62535fb91e57b23f4578131ceebb01e5304cd220ad5ca3d132c26be2caa1d83caae7d5fd6334dd9bc9415f7f606a51687c6ae9784dd53f030105a0d"
  }
}