

from ....configuration_utils import PretrainedConfig
from ....utils import logging


__A      		=     logging.get_logger(__name__)

# TODO: upload to AWS
__A      		=     {
    """yjernite/retribert-base-uncased""": (
        """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"""
    ),
}



class   lowercase_   (  lowerCAmelCase_					):
						UpperCamelCase_      :		Tuple										=    """retribert"""



						def __init__(      self				:    Tuple      , A__				:    List[str]=30522      , A__				:    Dict=768      , A__				:    List[str]=8      , A__				:    Union[str, Any]=12      , A__				:    Union[str, Any]=3072      , A__				:    int="gelu"      , A__				:    Optional[Any]=0.1      , A__				:    str=0.1      , A__				:    Optional[int]=512      , A__				:    Tuple=2      , A__				:    Union[str, Any]=0.02      , A__				:    Tuple=1e-12      , A__				:    Optional[int]=True      , A__				:    List[str]=128      , A__				:    Any=0      , **A__				:    Union[str, Any]      , )   ->					List[str]:
								super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE      , **__SCREAMING_SNAKE_CASE		)

								_snake_case						=							vocab_size
								_snake_case						=							hidden_size
								_snake_case						=							num_hidden_layers
								_snake_case						=							num_attention_heads
								_snake_case						=							hidden_act
								_snake_case						=							intermediate_size
								_snake_case						=							hidden_dropout_prob
								_snake_case						=							attention_probs_dropout_prob
								_snake_case						=							max_position_embeddings
								_snake_case						=							type_vocab_size
								_snake_case						=							initializer_range
								_snake_case						=							layer_norm_eps
								_snake_case						=							share_encoders
								_snake_case						=							projection_dim




from __future__ import annotations



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase					)							->     bool:



  """simple docstring"""






  _snake_case						=							get_failure_array(_UpperCamelCase					)

  # 2) Step through text searching for pattern
  _snake_case,					_snake_case						=							0, 0  # index into text, pattern
  while i < len(_UpperCamelCase					):
    if pattern[j] == text[i]:
      if j == (len(_UpperCamelCase					) - 1):
        return True
      j += 1

    # if this is a prefix in our pattern
    # just go back far enough to continue
    elif j > 0:
      _snake_case						=							failure[j - 1]
      continue
    i += 1
  return False



def 				snake_case_(_UpperCamelCase					)							->     list[int]:



  """simple docstring"""






  _snake_case						=							[0]
  _snake_case						=							0
  _snake_case						=							1
  while j < len(_UpperCamelCase					):
    if pattern[i] == pattern[j]:
      i += 1
    elif i > 0:
      _snake_case						=							failure[i - 1]
      continue
    j += 1
    failure.append(_UpperCamelCase					)
  return failure


if __name__ == "__main__":
 # Test 1)
 __A      		=     '''abc1abc12'''
 __A      		=     '''alskfjaldsabc1abc1abc12k23adsfabcabc'''
 __A      		=     '''alskfjaldsk23adsfabcabc'''
 assert kmp(pattern, texta) and not kmp(pattern, texta)

 # Test 2)
 __A      		=     '''ABABX'''
 __A      		=     '''ABABZABABYABABX'''
 assert kmp(pattern, text)

 # Test 3)
 __A      		=     '''AAAB'''
 __A      		=     '''ABAAAAAB'''
 assert kmp(pattern, text)

 # Test 4)
 __A      		=     '''abcdabcy'''
 __A      		=     '''abcxabcdabxabcdabcdabcy'''
 assert kmp(pattern, text)

 # Test 5)
 __A      		=     '''aabaabaaa'''
 assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]

