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        "author": "Two Ravens team",
        "author_email": "raman_prasad@harvard.edu",
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        "classifiers": [
            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
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        "description": "# TwoRavens Preprocess\n\nPython package to produce TwoRavens metadata\n\n```\nfrom raven_preprocess.preprocess_runner import PreprocessRunner\n\n# process a data file\n#\nrun_info = PreprocessRunner.load_from_file('input/path/my-data-file.csv')\n\n# Did it work?\n#\nif not run_info.success:\n    # nope :(\n    #\n    print(run_info.err_msg)\nelse:\n    # yes :)\n    #\n    runner = run_info.result_obj\n\n    # show the JSON (string)\n    #\n    print(runner.get_final_json(indent=4))\n\n    # retrieve the data as a python OrderedDict\n    #\n    metadata = runner.get_final_dict()\n\n    # iterate through the variables\n    #\n    for vkey, vinfo in metadata['variables'].items():\n        print('-' * 40)\n        print(f'--- {vkey} ---')\n        print('nature:', vinfo['nature'])\n        print('invalidCount:', vinfo['invalidCount'])\n        print('validCount:', vinfo['validCount'])\n        print('uniqueCount:', vinfo['uniqueCount'])\n        print('median:', vinfo['median'])\n        print('etc...')\n```        \n\n```\n# -------------------------\n# Preprocess a single file,\n# Write output to screen\n# -------------------------\nfrom raven_preprocess.preprocess import run_preprocess\nrun_preprocess('path-to-input-file.csv')\n\n# -------------------------\n# Preprocess a single file,\n# Write output to file\n# -------------------------\nfrom raven_preprocess.preprocess import run_preprocess\nrun_preprocess('path-to-input-file.csv', 'path-to-OUTPUT-file.csv')\n```\n\n\n",
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