{
  "channels": [
    "defaults"
  ],
  "conda_build_version": "3.18.11",
  "conda_private": false,
  "conda_version": "4.7.12",
  "description": "This module allows a python process to connect to SAS 9.4 and run SAS\ncode, generated by the supplied object and methods or explicitly user\nwritten, and returns results as text, HTML5 documents (via SAS ODS), or\nas Pandas Data Frames. It supports running analytics and returning the\nresulting graphics and result data. It can convert between SAS Data Sets\nand Pandas Data Frames. It has multiple access methods which allow it to\nconnect to local or remote Linux SAS, IOM SAS on Windows or Linux\n(Including Grid Manager), and local PC SAS. It can run w/in Jupyter\nNotebooks, in line mode python or in python batch scripts.\n",
  "dev_url": "https://github.com/sassoftware/saspy",
  "doc_url": "https://sassoftware.github.io/saspy",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "danielfrg"
    ]
  },
  "home": "https://github.com/sassoftware/saspy",
  "identifiers": [],
  "keywords": [],
  "license": "Apache 2.0",
  "license_family": "Apache",
  "license_file": "/tmp/build/80754af9/rsync-recipes/saspy-3.1.7-on-linux_64/LICENSE",
  "root_pkgs": [
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    "certifi 2019.9.11 py37_0",
    "decorator 4.4.1 py_0",
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    "pyrsistent 0.15.4 py37h7b6447c_0",
    "python-dateutil 2.8.1 py_0",
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    "zipp 0.6.0 py_0",
    "cryptography 2.8 py37h1ba5d50_0",
    "importlib_metadata 0.23 py37_0",
    "jinja2 2.10.3 py_0",
    "jupyter_core 4.6.1 py37_0",
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    "jsonschema 3.1.1 py37_0",
    "conda 4.7.12 py37_0",
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  ],
  "summary": "A Python interface module to the SAS System",
  "tags": []
}