{
  "repodata": {
    "build": "py313hd43f75c_1",
    "build_number": 1,
    "depends": [
      "arviz-stats >=1.1.0,<2.0.0",
      "matplotlib-base >=3.9",
      "numba >=0.62",
      "numpy >=2.0",
      "pytensor-distributions >=0.1.2",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "scipy >=1.12"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "08d532cff3ec5d909598e5d4602722e4",
    "name": "preliz",
    "sha256": "522b58f87d1d751b9daf15323096425f934cf1bc6fa90ac2b8e95f35d51512e0",
    "size": 691178,
    "subdir": "linux-aarch64",
    "timestamp": 1784030108162,
    "version": "0.25.0"
  },
  "s3": "builds/ci/prefect/M2Z6LLDdQDiynyxuQgWD5Q/1784030190/linux-aarch64/preliz-0.25.0-py313hd43f75c_1.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "e53517946060f984b902ca4e1fee295f7c95de6a773d9e0d453c291017be718f7ff24b5dfd7d50594621f9dc67584548fac6aa29468d09a22746579223669008"
  }
}