



'''simple docstring'''

from __future__ import annotations



class 		lowerCamelCase__      :




					'''simple docstring'''



					def __init__(  self				:	Dict     ,  UpperCamelCase_				:	str     ,  UpperCamelCase_				:	str					)  ->       Tuple:



						'''simple docstring'''





						_lowercase  ,    _lowercase					:       Optional[int]       =		text, pattern
						_lowercase  ,    _lowercase					:       Dict       =		len(UpperCamelCase_					), len(UpperCamelCase_					)




					def 						__UpperCAmelCase     (  self				:	Dict     ,  UpperCamelCase_				:	str					)  ->       int:



						'''simple docstring'''





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




					def 						__UpperCAmelCase     (  self				:	str     ,  UpperCamelCase_				:	int					)  ->       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				:	Tuple					)  ->       list[int]:



						'''simple docstring'''





						_lowercase					:       Dict       =		[]
						for i in range(self.textLen - self.patLen + 1					):
							_lowercase					:       str       =		self.mismatch_in_text(UpperCamelCase_					)
							if mismatch_index == -1:
								positions.append(UpperCamelCase_					)
							else:
								_lowercase					:       Union[str, Any]       =		self.match_in_pattern(self.text[mismatch_index]					)
								_lowercase					:       Tuple       =		(
								    mismatch_index - match_index
								)  # shifting index lgtm [py/multiple-definition]
						return positions






_A				:    List[str]     						='''ABAABA'''
_A				:    Optional[Any]     						='''AB'''
_A				:    Tuple     						=BoyerMooreSearch(text, pattern)
_A				:    Union[str, Any]     						=bms.bad_character_heuristic()

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





'''simple docstring'''

_A				:    Dict     						='''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

_A				:    Dict     						=[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
_A				:    Dict     						={
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}
