{
  "repodata": {
    "build": "py313hd43f75c_0",
    "build_number": 0,
    "depends": [
      "decorator >=5.2.1",
      "joblib >=1.2",
      "lazy_loader >=0.3",
      "matplotlib-base >=3.10.0",
      "msgpack-python >=1.0.5",
      "numba >=0.61.0",
      "numpy >=2.1.0",
      "pooch >=1.7",
      "pysoundfile >=0.12.1",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "scikit-learn >=1.6.0",
      "scipy >=1.15.0",
      "soxr-python >=1.0.0",
      "typing_extensions >=4.1.1"
    ],
    "license": "ISC",
    "license_family": "Other",
    "md5": "82dd27cc68f1f6da7dd60aa02a43e984",
    "name": "librosa",
    "sha256": "cd8d9bfe553598007a35962f8301952758a040c10c8f353ac0d169fc0fa41aeb",
    "size": 4135905,
    "subdir": "linux-aarch64",
    "timestamp": 1790768807493,
    "version": "1.0.0"
  },
  "s3": "builds/ci/prefect/X0BtBbyESxaK-qkqI5SiFg/1790768895/linux-aarch64/librosa-1.0.0-py313hd43f75c_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "e921b361ad4e2217e832352ae903831891af225277de6d34a9dc5404b428df9d632122b6cb0df552993cf0553fafbdffc0f1ce5ed0de5e573070731b905dd50e"
  }
}