




def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase		,					__UpperCamelCase		,					__UpperCamelCase		,					__UpperCamelCase)			->     Union[str, Any]:
     if start == end:
          return start if lst[start] > item else start + 1
     if start > end:
          return start

     a      =      (start + end) // 2
     if lst[mid] < item:
          return binary_search(__UpperCamelCase		,					__UpperCamelCase		,					mid + 1		,					__UpperCamelCase)
     elif lst[mid] > item:
          return binary_search(__UpperCamelCase		,					__UpperCamelCase		,					__UpperCamelCase		,					mid - 1)
     else:
          return mid

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     Any:
     a      =      len(__UpperCamelCase)

     for index in range(1		,					__UpperCamelCase):
          a      =      lst[index]
          a      =      binary_search(__UpperCamelCase		,					__UpperCamelCase		,					0		,					index - 1)
          a      =      lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

     return lst

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase		,					__UpperCamelCase)			->     Any:
     if not left:
          return right

     if not right:
          return left

     if left[0] < right[0]:
          return [left[0], *merge(left[1:]		,					__UpperCamelCase)]

     return [right[0], *merge(__UpperCamelCase		,					right[1:])]

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     Union[str, Any]:
     a      =      len(__UpperCamelCase)
     a  ,      a      =      [], []
     a      =      [lst[0]]
     a      =      []
     a      =      1
     while i < length:
          if lst[i] < lst[i - 1]:
               runs.append(__UpperCamelCase)
               a      =      [lst[i]]
          else:
               new_run.append(lst[i])
          i += 1
     runs.append(__UpperCamelCase)

     for run in runs:
          sorted_runs.append(insertion_sort(__UpperCamelCase))
     for run in sorted_runs:
          a      =      merge(__UpperCamelCase		,					__UpperCamelCase)

     return sorted_array

def 					SCREAMING_SNAKE_CASE							(   )			->     List[str]:
     a      =      [5, 9, 10, 3, -4, 5, 1_78, 92, 46, -18, 0, 7]
     a      =      tim_sort(__UpperCamelCase)
     print(__UpperCamelCase)


if __name__ == "__main__":
   main()







import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 			a__       (					UpperCamelCase__   ,					unittest.TestCase      ):
     a		:			Dict							=	MPNetTokenizer
     a		:			Dict							=	MPNetTokenizerFast
     a		:			Optional[int]							=	True
     a		:			Any							=	True







     def 			lowerCAmelCase_				(	self )  ->    Any:



          '''simple docstring'''



          super().setUp()

          a      =      [
              "[UNK]",
              "[CLS]",
              "[SEP]",
              "[PAD]",
              "[MASK]",
              "want",
              "##want",
              "##ed",
              "wa",
              "un",
              "runn",
              "##ing",
              ",",
              "low",
              "lowest",
          ]
          a      =      os.path.join(self.tmpdirname  ,		VOCAB_FILES_NAMES["vocab_file"] )
          with open(self.vocab_file  ,		"w"  ,		encoding="utf-8" ) as vocab_writer:
               vocab_writer.write("".join([x + "\n" for x in vocab_tokens] ) )







     def 			lowerCAmelCase_				(	self  ,		A )  ->    Any:



          '''simple docstring'''



          a      =      "UNwant\u00E9d,running"
          a      =      "unwanted, running"
          return input_text, output_text







     def 			lowerCAmelCase_				(	self )  ->    List[Any]:



          '''simple docstring'''



          a      =      self.tokenizer_class(self.vocab_file )

          a      =      tokenizer.tokenize("UNwant\u00E9d,running" )
          self.assertListEqual(A  ,		["un", "##want", "##ed", ",", "runn", "##ing"] )
          self.assertListEqual(tokenizer.convert_tokens_to_ids(A )  ,		[9, 6, 7, 12, 10, 11] )







     @slow
     def 			lowerCAmelCase_				(	self )  ->    Dict:



          '''simple docstring'''



          a      =      self.tokenizer_class.from_pretrained("microsoft/mpnet-base" )

          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 == [0] + text + [2]
          assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]

