"""simple docstring"""







from __future__ import annotations







class        UpperCamelCase		:
   def __init__(			self     ,__UpperCamelCase     ,__UpperCamelCase			)	->      Tuple:


        '''simple docstring'''


        lowercase_							,  lowercase_	:				str													=	text, pattern
        lowercase_							,  lowercase_	:				List[Any]													=	len(__UpperCamelCase			), len(__UpperCamelCase			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      int:


        '''simple docstring'''


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


        '''simple docstring'''


        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 			_UpperCAmelCase   (			self			)	->      list[int]:


        '''simple docstring'''


        lowercase_	:				Tuple													=	[]
        for i in range(self.textLen - self.patLen + 1			):
             lowercase_	:				Optional[int]													=	self.mismatch_in_text(__UpperCamelCase			)
             if mismatch_index == -1:
                  positions.append(__UpperCamelCase			)
             else:
                  lowercase_	:				Optional[Any]													=	self.match_in_pattern(self.text[mismatch_index]			)
                  lowercase_	:				Any													=	(
                      mismatch_index - match_index
                  )  # shifting index lgtm [py/multiple-definition]
        return positions






__SCREAMING_SNAKE_CASE    	="ABAABA"
__SCREAMING_SNAKE_CASE    	="AB"
__SCREAMING_SNAKE_CASE    	=BoyerMooreSearch(text, pattern)
__SCREAMING_SNAKE_CASE    	=bms.bad_character_heuristic()

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


"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__SCREAMING_SNAKE_CASE    	=logging.get_logger(__name__)







class        UpperCamelCase		(			lowercase_  ):
   def __init__(			self     ,*__UpperCamelCase     ,**__UpperCamelCase			)	->      None:


        '''simple docstring'''


        warnings.warn(
            'The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
            ' use BeitImageProcessor instead.'     ,__UpperCamelCase     ,)
        super().__init__(*__UpperCamelCase     ,**__UpperCamelCase			)

