


from __future__ import annotations

snake_case    :   List[str]	    =					[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
snake_case    :   Union[str, Any]	    =					[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]
def     __lowerCamelCase						(			UpperCAmelCase_						:		list[float]						):




      """simple docstring"""





      a						:int										=	[]
      a						:Union[str, Any]										=	len(snake_case__						)

      for i in range(snake_case__						):
            a						:Optional[Any]										=	-1
            for j in range(i + 1			,  snake_case__						):
                  if arr[i] < arr[j]:
                        a						:Union[str, Any]										=	arr[j]
                        break
            result.append(snake_case__						)
      return result
def     __lowerCamelCase						(			UpperCAmelCase_						:		list[float]						):




      """simple docstring"""





      a						:Dict										=	[]
      for i, outer in enumerate(snake_case__						):
            a						:Dict										=	-1
            for inner in arr[i + 1 :]:
                  if outer < inner:
                        a						:List[Any]										=	inner
                        break
            result.append(snake_case__						)
      return result
def     __lowerCamelCase						(			UpperCAmelCase_						:		list[float]						):




      """simple docstring"""





      a						:Tuple										=	len(snake_case__						)
      a						:int										=	[]
      a						:Union[str, Any]										=	[-1] * arr_size

      for index in reversed(range(snake_case__						)						):
            if stack:
                  while stack[-1] <= arr[index]:
                        stack.pop()
                        if not stack:
                              break
            if stack:
                  a						:Union[str, Any]										=	stack[-1]
            stack.append(arr[index]						)
      return result


if __name__ == "__main__":
     from doctest import testmod
     from timeit import timeit

     testmod()
     print(next_greatest_element_slow(arr))
     print(next_greatest_element_fast(arr))
     print(next_greatest_element(arr))

     snake_case    :   str	    =					(
         '''from __main__ import arr, next_greatest_element_slow, '''
         '''next_greatest_element_fast, next_greatest_element'''
     )
     print(
         '''next_greatest_element_slow():''',
         timeit('''next_greatest_element_slow(arr)''', setup=setup),
     )
     print(
         '''next_greatest_element_fast():''',
         timeit('''next_greatest_element_fast(arr)''', setup=setup),
     )
     print(
         '''     next_greatest_element():''',
         timeit('''next_greatest_element(arr)''', setup=setup),
     )









import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


snake_case    :   List[Any]	    =					get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')







class 		_snake_case  (				_snake_case						,   unittest.TestCase							):
 SCREAMING_SNAKE_CASE__				=	BartphoTokenizer
 SCREAMING_SNAKE_CASE__				=	False
 SCREAMING_SNAKE_CASE__				=	True




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       super().setUp()

       a						:Dict										=	['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
       a						:Optional[Any]										=	dict(zip(_lowerCamelCase ,  range(len(_lowerCamelCase   )   )   )   )
       a						:Tuple										=	{'''unk_token''': '''<unk>'''}

       a						:Union[str, Any]										=	os.path.join(self.tmpdirname ,  VOCAB_FILES_NAMES['''monolingual_vocab_file''']   )
       with open(self.monolingual_vocab_file ,  '''w''' ,  encoding='''utf-8'''   ) as fp:
             for token in vocab_tokens:
                   fp.write(F'''{token} {vocab_tokens[token]}\n'''   )

       a						:Any										=	BartphoTokenizer(_lowerCamelCase ,  self.monolingual_vocab_file ,  **self.special_tokens_map   )
       tokenizer.save_pretrained(self.tmpdirname   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  **_lowerCamelCase   ):
       kwargs.update(self.special_tokens_map   )
       return BartphoTokenizer.from_pretrained(self.tmpdirname ,  **_lowerCamelCase   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:int										=	'''This is a là test'''
       a						:str										=	'''This is a<unk><unk> test'''
       return input_text, output_text




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:List[str]										=	BartphoTokenizer(_lowerCamelCase ,  self.monolingual_vocab_file ,  **self.special_tokens_map   )
       a						:Optional[Any]										=	'''This is a là test'''
       a						:Tuple										=	'''▁This ▁is ▁a ▁l à ▁t est'''.split()
       a						:int										=	tokenizer.tokenize(_lowerCamelCase   )
       self.assertListEqual(_lowerCamelCase ,  _lowerCamelCase   )

       a						:Union[str, Any]										=	tokens + [tokenizer.unk_token]
       a						:str										=	[4, 5, 6, 3, 3, 7, 8, 3]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase   ) ,  _lowerCamelCase   )





