
"""simple docstring"""

import sys

from transformers import AutoTokenizer


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

SCREAMING_SNAKE_CASE_			    =  0

SCREAMING_SNAKE_CASE_			    =  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:
      SCREAMING_SNAKE_CASE_			    =  line.rstrip()

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

      SCREAMING_SNAKE_CASE_			    =  line.split()[0]

      SCREAMING_SNAKE_CASE_			    =  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)
         SCREAMING_SNAKE_CASE_			    =  current_subwords_len
         continue

      subword_len_counter += current_subwords_len

      print(line)





"""simple docstring"""

import doctest

import projectq
from projectq.ops import H, Measure




def 			lowercase__  (    lowerCAmelCase :    projectq.cengines._main.MainEngine       )       ->					int:






    """simple docstring"""




    UpperCAmelCase  	=    quantum_engine.allocate_qubit()
    H | qubit
    Measure | qubit
    return int(lowerCAmelCase       )


if __name__ == "__main__":
   doctest.testmod()

   # initialises a new quantum backend
   SCREAMING_SNAKE_CASE_			    =  projectq.MainEngine()

   # Generate a list of 10 random numbers
   SCREAMING_SNAKE_CASE_			    =  [get_random_number(quantum_engine) for _ in range(10)]

   # Flushes the quantum engine from memory
   quantum_engine.flush()

   print('''Random numbers''', random_numbers_list)



