






import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							int:

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

							return match



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							Union[str, Any]:

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

							UpperCAmelCase_    :      List[str]            =						[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   )	->							List[str]:
							UpperCAmelCase_    :      List[str]            =						Path('./datasets'   )
							UpperCAmelCase_    :      List[Any]            =						list(dataset_paths.absolute().glob('**/*.py'   )   )

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



		def 					__UpperCAmelCase			(							self   )	->							Optional[Any]:
							UpperCAmelCase_    :      Optional[int]            =						Path('./datasets'   )
							UpperCAmelCase_    :      Optional[Any]            =						list(dataset_paths.absolute().glob('**/*.py'   )   )

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














def      lowercase__      (     __snake_case    :							list  ):


					'''simple docstring'''


					for i in range(len(__snake_case  ) - 1     ,       0     ,       -1  ):
										UpperCAmelCase_    :      Dict            =						False

										for j in range(__snake_case     ,       0     ,       -1  ):
															if unsorted[j] < unsorted[j - 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Any            =						unsorted[j - 1], unsorted[j]
																				UpperCAmelCase_    :      int            =						True

										for j in range(__snake_case  ):
															if unsorted[j] > unsorted[j + 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Optional[int]            =						unsorted[j + 1], unsorted[j]
																				UpperCAmelCase_    :      Any            =						True

										if not swapped:
															break
					return unsorted


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		__UpperCAmelCase								=						input('Enter numbers separated by a comma:\n').strip()
		__UpperCAmelCase								=						[int(item) for item in user_input.split(',')]
		print(F'{cocktail_shaker_sort(unsorted) = }')






