





from __future__ import annotations





class 					A_					:







       """simple docstring"""





       def __init__(     self						:						Optional[int]    ,__A						:						Dict    ,__A						:						List[str]	)    ->       Optional[Any]:
         _lowercase    ,		_lowercase						    =			text, pattern
         _lowercase    ,		_lowercase						    =			len(a__	), len(a__	)







       def  __UpperCAmelCase			(     self						:						int    ,__A						:						int	)    ->       List[Any]:

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







       def  __UpperCAmelCase			(     self						:						List[Any]    ,__A						:						Optional[int]	)    ->       Optional[int]:

         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						:						Tuple	)    ->       int:
         # searches pattern in text and returns index positions
         _lowercase						    =			[]
         for i in range(self.textLen - self.patLen + 1	):
           _lowercase						    =			self.mismatch_in_text(a__	)
           if mismatch_index == -1:
             positions.append(a__	)
           else:
             _lowercase						    =			self.match_in_pattern(self.text[mismatch_index]	)
             _lowercase						    =			(
                 mismatch_index - match_index
             )  # shifting index lgtm [py/multiple-definition]
         return positions
snake_case								=							"""ABAABA"""
snake_case								=							"""AB"""
snake_case								=							BoyerMooreSearch(text, pattern)
snake_case								=							bms.bad_character_heuristic()

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




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


_lowercase    	=		logging.get_logger(__name__)



class      _UpperCAmelCase      (							A__  ):
     UpperCamelCase__		     =					'''timm_backbone'''




     def __init__(					self			,    a__=None			,    a__=3			,    a__=True			,    a__=True			,    a__=None			,    **a__			,    ):
         super().__init__(**a__)
         A__					=       backbone
         A__					=       num_channels
         A__					=       features_only
         A__					=       use_pretrained_backbone
         A__					=       True
         A__					=       out_indices if out_indices is not None else (-1,)
