addressed the comments

if __name__ == '__main__':

    print('parsing the inputs ...')

    print('parsing the arguments ...')

    parser = argparse.ArgumentParser()

    parser.add_argument('--seed', type=int, default=1234,

                       help='Random seed used for python, numpy')

    parser.add_argument('--inputs', nargs = '*', default=None, help = \

                        'Pairwise list of the input files and keys, '

                        'e.g. --inputs cc.json cc_id news.json news_id')

    print('finding possible duplicate content ...')

    # set seed and get an array of seeds of 100 integers

    np.random.seed(1234)

    np.random.seed(args.seed)

    seeds = np.random.randint(0, 1e6, size=100)

    # initialize minhash and lsh cache

    # load fingerprints from pickle file if needed

    if args.load_fingerprints is not None:

        count_fingerprints = len(args.load_fingerprints)

        for count_fp in range(count_fingerprints):

            fp_file_name = args.load_fingerprints[count_fp]

        for count_fp, fp_file_name in enumerate(args.load_fingerprints):

            print("Loading fingerprints from pickle file {}".format(

                fp_file_name), flush=True)

            fp = open(fp_file_name, "rb")

                for url in local_lshcache.fingerprints.keys():

                    url_doc[url] = local_url_doc[url]

                    lshcache.add_fingerprint(local_lshcache.fingerprints[url], url)

            fp.close()

    counter = 0

    start_time = time.time()

    print("Computing fingerprints", flush=True)

    # compute finger prints of the inputs if any

    input_pairs = 0 if args.inputs is None else int(len(args.inputs)/2)

    for input_pair in range(input_pairs):

    # input file and the key to use as id

        input_file = args.inputs[2 * input_pair]

        key = args.inputs[2 * input_pair + 1]

    if args.inputs is not None:

        assert len(args.inputs) % 2 == 0

        for input_file, key in zip(args.inputs[::2], args.inputs[1::2]):

            print(' document processing {} with key {}'.format(input_file, key),

                flush=True)

            # traverse all the texts and add fingerprints

                                            ensure_ascii=False)

                        f_out.write(myjson.encode('utf-8'))

                        f_out.write('\n'.encode('utf-8'))

        f_out.close()

    print('done :-)')