






"""simple docstring"""




from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest







@require_tokenizers
class 					_UpperCamelCase		( SCREAMING_SNAKE_CASE__):
				__lowerCamelCase         =  SqueezeBertTokenizer
				__lowerCamelCase         =  SqueezeBertTokenizerFast
				__lowerCamelCase         =  True






				def  A    (self						,      **lowerCamelCase__   ):


						"""simple docstring"""
						return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname						,      **a_   )






				@slow
				def  A    (self   ):


						"""simple docstring"""
						A__											=							SqueezeBertTokenizer.from_pretrained("""squeezebert/squeezebert-mnli-headless"""   )

						A__											=							tokenizer.encode("""sequence builders"""						,      add_special_tokens=a_   )
						A__											=							tokenizer.encode("""multi-sequence build"""						,      add_special_tokens=a_   )

						A__											=							tokenizer.build_inputs_with_special_tokens(a_   )
						A__											=							tokenizer.build_inputs_with_special_tokens(a_						,      a_   )

						assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
						assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
						    tokenizer.sep_token_id
						]












"""simple docstring"""




def 						_SCREAMING_SNAKE_CASE							( UpperCamelCase     :	Dict    ):
  A__											=							len(UpperCamelCase    )
  for _ in range(
      0		,				int(((no_of_elements - 1) / 2) + 1    )    ):  # we don't need to traverse to end of list as
    for j in range(0		,				no_of_elements - 1    ):
      if (
          lst[j + 1] < lst[j]
      ):  # applying bubble sort algorithm from left to right (or forwards)
        A__											=							lst[j + 1]
        A__											=							lst[j]
        A__											=							temp
      if (
          lst[no_of_elements - 1 - j] < lst[no_of_elements - 2 - j]
      ):  # applying bubble sort algorithm from right to left (or backwards)
        A__											=							lst[no_of_elements - 1 - j]
        A__											=							lst[no_of_elements - 2 - j]
        A__											=							temp
  return lst


if __name__ == "__main__":
      print("enter the list to be sorted")
      lowerCamelCase__			=   [int(x) for x in input().split()]  # inputing elements of the list in one line
      lowerCamelCase__			=   double_sort(lst)
      print("the sorted list is")
      print(sorted_lst)




