'''simple docstring'''
from __future__ import annotations






class 			__lowercase		:







     """simple docstring"""






     def __init__(		self     ,			_lowerCamelCase     ,			_lowerCamelCase    ):
         __UpperCamelCase    ,					__UpperCamelCase	:	Optional[int]		    =  text, pattern
         __UpperCamelCase    ,					__UpperCamelCase	:	Union[str, Any]		    =  len(_lowerCamelCase    ), len(_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):

         for i in range(self.patLen - 1     ,			-1     ,			-1    ):
             if char == self.pattern[i]:
                 return i
         return -1







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):

         for i in range(self.patLen - 1     ,			-1     ,			-1    ):
             if self.pattern[i] != self.text[current_pos + i]:
                 return current_pos + i
         return -1







     def lowerCAmelCase     (		self    ):
         # searches pattern in text and returns index positions
         __UpperCamelCase	:	Tuple		    =  []
         for i in range(self.textLen - self.patLen + 1    ):
             __UpperCamelCase	:	List[str]		    =  self.mismatch_in_text(_lowerCamelCase    )
             if mismatch_index == -1:
                 positions.append(_lowerCamelCase    )
             else:
                 __UpperCamelCase	:	Optional[Any]		    =  self.match_in_pattern(self.text[mismatch_index]    )
                 __UpperCamelCase	:	str		    =  (
                     mismatch_index - match_index
                 )  # shifting index lgtm [py/multiple-definition]
         return positions




a=  '''ABAABA'''
a=  '''AB'''
a=  BoyerMooreSearch(text, pattern)
a=  bms.bad_character_heuristic()

if len(positions) == 0:
  print('''No match found''')
else:
  print('''Pattern found in following positions: ''')
  print(positions)




'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a=  {
    '''configuration_bridgetower''': [
        '''BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BridgeTowerConfig''',
        '''BridgeTowerTextConfig''',
        '''BridgeTowerVisionConfig''',
    ],
    '''processing_bridgetower''': ['''BridgeTowerProcessor'''],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a=  ['''BridgeTowerImageProcessor''']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a=  [
      '''BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''BridgeTowerForContrastiveLearning''',
      '''BridgeTowerForImageAndTextRetrieval''',
      '''BridgeTowerForMaskedLM''',
      '''BridgeTowerModel''',
      '''BridgeTowerPreTrainedModel''',
  ]


if TYPE_CHECKING:
  from .configuration_bridgetower import (
      BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      BridgeTowerConfig,
      BridgeTowerTextConfig,
      BridgeTowerVisionConfig,
  )
  from .processing_bridgetower import BridgeTowerProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_bridgetower import BridgeTowerImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_bridgetower import (
        BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
        BridgeTowerForContrastiveLearning,
        BridgeTowerForImageAndTextRetrieval,
        BridgeTowerForMaskedLM,
        BridgeTowerModel,
        BridgeTowerPreTrainedModel,
    )


else:
  import sys

  a=  _LazyModule(__name__, globals()['''__file__'''], _import_structure)



