


SCREAMING_SNAKE_CASE						:Union[str, Any]			=  '''Tobias Carryer'''

from time import time


class      __lowerCAmelCase  :






  """simple docstring"""





  def __init__(  self							:							Optional[Any]     ,					_lowerCAmelCase							:							Optional[Any]     ,					_lowerCAmelCase							:							Dict     ,					_lowerCAmelCase							:							Union[str, Any]     ,					_lowerCAmelCase							:							Dict=int(time()	)	) ->			Tuple:  # noqa: B008




     """simple docstring"""
     snake_case_            =       multiplier
     snake_case_            =       increment
     snake_case_            =       modulo
     snake_case_            =       seed



  def        lowerCAmelCase__	(  self							:							Optional[int]	) ->			str:




     """simple docstring"""
     snake_case_            =       (self.multiplier * self.seed + self.increment) % self.modulo
     return self.seed


if __name__ == "__main__":
   # Show the LCG in action.
   SCREAMING_SNAKE_CASE						:Dict			=  LinearCongruentialGenerator(1_66_45_25, 10_13_90_42_23, 2 << 31)
   while True:
      print(lcg.next_number())








from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							DistilBertTokenizer
  _SCREAMING_SNAKE_CASE		     =							DistilBertTokenizerFast
  _SCREAMING_SNAKE_CASE		     =							True



  @slow
  def        lowerCAmelCase__	(  self							:							Tuple	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       DistilBertTokenizer.from_pretrained("distilbert-base-uncased"	)

     snake_case_            =       tokenizer.encode("sequence builders"     ,					add_special_tokens=_lowerCAmelCase	)
     snake_case_            =       tokenizer.encode("multi-sequence build"     ,					add_special_tokens=_lowerCAmelCase	)

     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase	)
     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase     ,					_lowerCAmelCase	)

     assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
     assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
         tokenizer.sep_token_id
     ]




