


from __future__ import annotations



class 	__lowerCamelCase			:







       def __init__(			self: Optional[int],A_: str,A_: str					):






            '''simple docstring'''




            __UpperCamelCase,    __UpperCamelCase =			text, pattern
            __UpperCamelCase,    __UpperCamelCase =			len(A_					), len(A_					)







       def 		snake_case_	(			self: Tuple,A_: str					):






            '''simple docstring'''




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







       def 		snake_case_	(			self: List[str],A_: 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 		snake_case_	(			self: Tuple					):






            '''simple docstring'''




            __UpperCamelCase =			[]
            for i in range(self.textLen - self.patLen + 1					):
                 __UpperCamelCase =			self.mismatch_in_text(A_					)
                 if mismatch_index == -1:
                      positions.append(A_					)
                 else:
                      __UpperCamelCase =			self.match_in_pattern(self.text[mismatch_index]					)
                      __UpperCamelCase =			(
                          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)






import pytest

import datasets


# Import fixture modules as plugins
__snake_case   							=						['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']






def 		_A		(		_lowercase					,  _lowercase )					-> Tuple:


     """simple docstring"""


     for item in items:
          if any(marker in item.keywords for marker in ['integration', 'unit'] ):
               continue
          item.add_marker(pytest.mark.unit )






def 		_A		(		_lowercase )					-> str:


     """simple docstring"""


     config.addinivalue_line('markers'					,  'torchaudio_latest: mark test to run with torchaudio>=0.12' )






@pytest.fixture(autouse=_lowercase )
def 		_A		(		_lowercase					,  _lowercase )					-> Any:


     """simple docstring"""


     __UpperCamelCase =			tmp_path_factory.getbasetemp() / 'cache'
     __UpperCamelCase =			test_hf_cache_home / 'datasets'
     __UpperCamelCase =			test_hf_cache_home / 'metrics'
     __UpperCamelCase =			test_hf_cache_home / 'modules'
     monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'					,  str(_lowercase ) )
     monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'					,  str(_lowercase ) )
     monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'					,  str(_lowercase ) )
     __UpperCamelCase =			test_hf_datasets_cache / 'downloads'
     monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'					,  str(_lowercase ) )
     __UpperCamelCase =			test_hf_datasets_cache / 'downloads' / 'extracted'
     monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'					,  str(_lowercase ) )






@pytest.fixture(autouse=_lowercase					,  scope='session' )
def 		_A		(		)					-> Dict:


     """simple docstring"""


     datasets.disable_progress_bar()






@pytest.fixture(autouse=_lowercase )
def 		_A		(		_lowercase )					-> Tuple:


     """simple docstring"""


     monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'					,  _lowercase )






@pytest.fixture
def 		_A		(		_lowercase )					-> Any:


     """simple docstring"""


     monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'					,  _lowercase )


