
import re
from pathlib import Path
from unittest import TestCase

import pytest


@pytest.mark.integration
class     lowercase (		_SCREAMING_SNAKE_CASE       ):



		def __UpperCamelCase			(			self    ,				A_	)  -> Union[str, Any]:
				"""simple docstring"""

				with open(A_    ,				encoding='utf-8'	) as input_file:
						UpperCamelCase          =					re.compile(r'(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'	)
						UpperCamelCase          =					input_file.read()
						UpperCamelCase          =					regexp.search(A_	)

				return match



		def __UpperCamelCase			(			self    ,				A_	)  -> Union[str, Any]:
				"""simple docstring"""

				with open(A_    ,				encoding='utf-8'	) as input_file:
						UpperCamelCase          =					re.compile(r'#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'    ,				re.DOTALL	)
						UpperCamelCase          =					input_file.read()
						# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
						UpperCamelCase          =					regexp.finditer(A_	)

				UpperCamelCase          =					[match for match in matches if match is not None and match.group(1	) is not None]
				return matches[0] if matches else None



		def __UpperCamelCase			(			self	)  -> int:
				"""simple docstring"""
				UpperCamelCase          =					Path('./datasets'	)
				UpperCamelCase          =					list(dataset_paths.absolute().glob('**/*.py'	)	)

				for dataset in dataset_files:
						if self._no_encoding_on_file_open(str(A_	)	):
								raise AssertionError(F'''open(...) must use utf-8 encoding in {dataset}'''	)



		def __UpperCamelCase			(			self	)  -> Optional[Any]:
				"""simple docstring"""
				UpperCamelCase          =					Path('./datasets'	)
				UpperCamelCase          =					list(dataset_paths.absolute().glob('**/*.py'	)	)

				for dataset in dataset_files:
						if self._no_print_statements(str(A_	)	):
								raise AssertionError(F'''print statement found in {dataset}. Use datasets.logger/logging instead.'''	)


from __future__ import annotations


class     lowercase :



		def __init__(			self    ,				A_    ,				A_	)  -> Any:
				"""simple docstring"""
				UpperCamelCase     ,  UpperCamelCase          =					text, pattern
				UpperCamelCase     ,  UpperCamelCase          =					len(A_	), len(A_	)



		def __UpperCamelCase			(			self    ,				A_	)  -> int:
				"""simple docstring"""

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



		def __UpperCamelCase			(			self    ,				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 __UpperCamelCase			(			self	)  -> list[int]:
				"""simple docstring"""
				# searches pattern in text and returns index positions
				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






_UpperCAmelCase :			Union[str, Any]              =	"ABAABA"
_UpperCAmelCase :			Any              =	"AB"
_UpperCAmelCase :			Dict              =	BoyerMooreSearch(text, pattern)
_UpperCAmelCase :			Optional[int]              =	bms.bad_character_heuristic()

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