


import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class 				A       (			__a				):
					'''simple docstring'''






					def     lowerCamelCase__	(self       :		Tuple ,   _UpperCAmelCase       :		str						)		->  int:




							"""simple docstring"""


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

							return match

					def     lowerCamelCase__	(self       :		List[Any] ,   _UpperCAmelCase       :		str						)		->  List[Any]:




							"""simple docstring"""


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

							lowercase__	     =						[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       :		List[str]						)		->  List[Any]:




							"""simple docstring"""


							lowercase__	     =						Path("""./datasets"""						)
							lowercase__	     =						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       :		str						)		->  Optional[Any]:




							"""simple docstring"""


							lowercase__	     =						Path("""./datasets"""						)
							lowercase__	     =						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  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				lowercase     ,	lowercase         =      [], []
				while len(__magic_name__						) > 1:
								lowercase     ,	lowercase         =      min(__magic_name__						), max(__magic_name__						)
								start.append(__magic_name__						)
								end.append(__magic_name__						)
								collection.remove(__magic_name__						)
								collection.remove(__magic_name__						)
				end.reverse()
				return start + collection + end


if __name__ == "__main__":
						_snake_case      :							int     	=    input("Enter numbers separated by a comma:\n").strip()
						_snake_case      :							Dict     	=    [int(item) for item in user_input.split(",")]
						print(*merge_sort(unsorted), sep=",")
