





'''simple docstring'''







import sys

from transformers import AutoTokenizer


A						    =							sys.argv[1]
A						    =							sys.argv[2]
A						    =							int(sys.argv[3])

A						    =							0

A						    =							AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, '''rt''') as f_p:
    for line in f_p:
        A						    =							line.rstrip()

        if not line:
            print(line)
            A						    =							0
            continue

        A						    =							line.split()[0]

        A						    =							len(tokenizer.tokenize(token))

        # Token contains strange control characters like \x96 or \x95
        # Just filter out the complete line
        if current_subwords_len == 0:
            continue

        if (subword_len_counter + current_subwords_len) > max_len:
            print('''''')
            print(line)
            A						    =							current_subwords_len
            continue

        subword_len_counter += current_subwords_len

        print(line)






'''simple docstring'''







def 		SCREAMING_SNAKE_CASE      (					lowerCAmelCase__     :	str)			->						str:

     '''simple docstring'''




     return " ".join(sorted(set(sentence.split())))


if __name__ == "__main__":
    import doctest

    doctest.testmod()