
'''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 				A_					(	snake_case	):
  return "".join(chr(ord(snake_case	) + 32	) if "A" <= char <= "Z" else char for char in word	)


if __name__ == "__main__":
    from doctest import testmod

    testmod()






