



def  _snake_case			(							__snake_case     )  ->  list:






      '''simple docstring'''







      UpperCAmelCase_	:						str					   =		1.3
      UpperCAmelCase_	:						List[Any]					   =		len(__snake_case     )
      UpperCAmelCase_	:						Optional[Any]					   =		False

      while not completed:
            # Update the gap value for a next comb
            UpperCAmelCase_	:						Union[str, Any]					   =		int(gap / shrink_factor     )
            if gap <= 1:
                  UpperCAmelCase_	:						List[str]					   =		True

            UpperCAmelCase_	:						Tuple					   =		0
            while index + gap < len(__snake_case     ):
                  if data[index] > data[index + gap]:
                        # Swap values
                        UpperCAmelCase_   ,   UpperCAmelCase_	:						Dict					   =		data[index + gap], data[index]
                        UpperCAmelCase_	:						Tuple					   =		False
                  index += 1

      return data


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   __lowerCamelCase								=      input('''Enter numbers separated by a comma:\n''').strip()
   __lowerCamelCase								=      [int(item) for item in user_input.split(''',''')]
   print(comb_sort(unsorted))





import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

__lowerCamelCase								=      [(1,)]







def  _snake_case			(							)  ->  str:






      '''simple docstring'''







      UpperCAmelCase_	:						Optional[Any]					   =		bool(os.getenv("RUN_SLOW"       ,	0     )     )
      if run_slow:
            assert True
      else:
            assert False, "should have been skipped"







def  _snake_case			(							)  ->  Tuple:






      '''simple docstring'''







      UpperCAmelCase_	:						Union[str, Any]					   =		bool(os.getenv("RUN_SLOW"       ,	0     )     )
      if run_slow and torch_device == "cuda":
            assert True
      else:
            assert False, "should have been skipped"


@require_torch
class 	snake_case_			(unittest.TestCase	):




       """simple docstring"""






       @slow
       @require_torch_gpu
       def 			A_ (  self):

             """simple docstring"""





             check_slow_torch_cuda()



       @require_torch_gpu
       @slow
       def 			A_ (  self):

             """simple docstring"""





             check_slow_torch_cuda()



       @parameterized.expand(lowercase)
       @slow
       def 			A_ (  self  ,lowercase=None):

             """simple docstring"""





             check_slow()







@slow
@require_torch_gpu
def  _snake_case			(							)  ->  str:






      '''simple docstring'''







      check_slow_torch_cuda()







@require_torch_gpu
@slow
def  _snake_case			(							)  ->  Union[str, Any]:






      '''simple docstring'''







      check_slow_torch_cuda()







@slow
@pytest.mark.parametrize("param"       ,	[1]     )
def  _snake_case			(							__snake_case     )  ->  Optional[Any]:






      '''simple docstring'''







      check_slow()







@pytest.mark.parametrize("param"       ,	[1]     )
@slow
def  _snake_case			(							__snake_case     )  ->  Any:






      '''simple docstring'''







      check_slow()
