






"""simple docstring"""



_UpperCamelCase						:    Tuple		=						{
    '0': 1,
    '1': 1,
    '2': 2,
    '3': 6,
    '4': 2_4,
    '5': 1_2_0,
    '6': 7_2_0,
    '7': 5_0_4_0,
    '8': 4_0_3_2_0,
    '9': 3_6_2_8_8_0,
}

_UpperCamelCase						:    str		=						{1_4_5: 1_4_5}

_UpperCamelCase						:    Dict		=						{
    1_4_5: 0,
    1_6_9: 3,
    3_6_3_0_1: 3,
    1_4_5_4: 3,
    8_7_1: 2,
    4_5_3_6_1: 2,
    8_7_2: 2,
}
def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    int       ):





  '''simple docstring'''





  if n in CACHE_SUM_DIGIT_FACTORIALS:
    return CACHE_SUM_DIGIT_FACTORIALS[n]
  lowercase				       =			sum(DIGIT_FACTORIALS[let] for let in str(__snake_case       )       )
  lowercase				       =			ret
  return ret
def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    int						,   __snake_case     :    set | None = None       ):





  '''simple docstring'''





  lowercase				       =			previous or set()
  if n in CHAIN_LENGTH_CACHE:
    return CHAIN_LENGTH_CACHE[n]
  lowercase				       =			sum_digit_factorials(__snake_case       )
  if next_number in previous:
    lowercase				       =			0
    return 0
  else:
    previous.add(__snake_case       )
    lowercase				       =			1 + chain_length(__snake_case						,   __snake_case       )
    lowercase				       =			ret
    return ret
def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    int = 60						,   __snake_case     :    int = 1_00_00_00       ):





  '''simple docstring'''





  return sum(1 for i in range(1						,   __snake_case       ) if chain_length(__snake_case       ) == num_terms       )


if __name__ == "__main__":
    print(F'''{solution() = }''')




"""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)






