
import re
from pathlib import Path
from unittest import TestCase

import pytest





@pytest.mark.integration
class   UpperCamelCase_      (      __a		):







						'''simple docstring'''



						def        SCREAMING_SNAKE_CASE(			self							:Tuple		,    lowerCAmelCase__							:str     )  ->int:

										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        SCREAMING_SNAKE_CASE(			self							:List[Any]		,    lowerCAmelCase__							:str     )  ->List[Any]:

										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        SCREAMING_SNAKE_CASE(			self							:List[str]     )  ->List[Any]:
										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        SCREAMING_SNAKE_CASE(			self							:str     )  ->Optional[Any]:
										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=",")
