



import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class 	lowerCamelCase__      (							lowerCamelCase__):




		'''simple docstring'''



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      int:

						"""simple docstring"""






						with open(__lowerCamelCase		,encoding='''utf-8'''			) as input_file:
										lowerCAmelCase__					:    str												=					re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''			)
										lowerCAmelCase__					:    List[Any]												=					input_file.read()
										lowerCAmelCase__					:    Dict												=					regexp.search(__lowerCamelCase			)

						return match



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      List[str]:

						"""simple docstring"""






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

						lowerCAmelCase__					:    Optional[int]												=					[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 		lowerCAmelCase__				(self			)					->      Tuple:

						"""simple docstring"""






						lowerCAmelCase__					:    List[str]												=					Path('''./datasets'''			)
						lowerCAmelCase__					:    Optional[int]												=					list(dataset_paths.absolute().glob('''**/*.py'''			)			)

						for dataset in dataset_files:
										if self._no_encoding_on_file_open(str(__lowerCamelCase			)			):
														raise AssertionError(f"""open(...) must use utf-8 encoding in {dataset}"""			)



		def 		lowerCAmelCase__				(self			)					->      List[str]:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					Path('''./datasets'''			)
						lowerCAmelCase__					:    Tuple												=					list(dataset_paths.absolute().glob('''**/*.py'''			)			)

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






def      lowerCAmelCase__		(   lowerCamelCase_		:		str	,lowerCamelCase_		:		str):





				'''simple docstring'''

				lowerCAmelCase__					:    Optional[Any]												=					len(lowerCamelCase_)
				lowerCAmelCase__					:    str												=					len(lowerCamelCase_)
				lowerCAmelCase__					:    Union[str, Any]												=					[[False for _ in range(m + 1)] for _ in range(n + 1)]
				lowerCAmelCase__					:    List[Any]												=					True
				for i in range(lowerCamelCase_):
								for j in range(m + 1):
												if dp[i][j]:
																if j < m and a[i].upper() == b[j]:
																				lowerCAmelCase__					:    int												=					True
																if a[i].islower():
																				lowerCAmelCase__					:    int												=					True
				return dp[n][m]


if __name__ == "__main__":
							import doctest

							doctest.testmod()

