model_inversion.py [266:280]:
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    if args.results_file is not None:
        with open(args.results_file, 'w') as fid:
            json.dump(results, fid)


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Model inversion.")
    parser.add_argument("--data_folder", default="/tmp", type=str,
        help="folder in which to store data (default: '/tmp')")
    parser.add_argument("--dataset", default="uciadult", type=str,
        choices=["uciadult", "iwpc", "synth"],
        help="dataset to use.")
    parser.add_argument("--model", default="least_squares", type=str,
        choices=["least_squares", "logistic"],
        help="type of model (default: least_squares)")
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private_model_inversion.py [123:137]:
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    if args.results_file is not None:
        with open(args.results_file, 'w') as fid:
            json.dump(results, fid)


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Model inversion.")
    parser.add_argument("--data_folder", default="/tmp", type=str,
        help="folder in which to store data (default: '/tmp')")
    parser.add_argument("--dataset", default="uciadult", type=str,
        choices=["uciadult", "iwpc", "synth"],
        help="dataset to use.")
    parser.add_argument("--model", default="least_squares", type=str,
        choices=["least_squares", "logistic"],
        help="type of model (default: least_squares)")
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