





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  :   Any						   =  get_tests_dir('fixtures/test_sentencepiece_bpe.model')



class     _UpperCAmelCase   (   _UpperCamelCase		,   unittest.TestCase   ):

  """simple docstring"""


  a_      =			BartphoTokenizer
  a_      =			False
  a_      =			True






  def     lowercase		(    self			:		Tuple					)							->						Optional[Any]:
     super().setUp()

     __lowerCAmelCase							     =     ['▁This', '▁is', '▁a', '▁t', 'est']
     __lowerCAmelCase							     =     dict(zip(lowerCAmelCase_ ,  range(len(lowerCAmelCase_					)					)					)					)
     __lowerCAmelCase							     =     {'unk_token': '<unk>'}

     __lowerCAmelCase							     =     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"""					)

     __lowerCAmelCase							     =     BartphoTokenizer(lowerCAmelCase_ ,  self.monolingual_vocab_file ,  **self.special_tokens_map					)
     tokenizer.save_pretrained(self.tmpdirname					)






  def     lowercase		(    self			:		int ,  **lowerCAmelCase_			:		List[str]					)							->						List[str]:
     kwargs.update(self.special_tokens_map					)
     return BartphoTokenizer.from_pretrained(self.tmpdirname ,  **lowerCAmelCase_					)






  def     lowercase		(    self			:		str ,  lowerCAmelCase_			:		Union[str, Any]					)							->						int:
     __lowerCAmelCase							     =     'This is a là test'
     __lowerCAmelCase							     =     'This is a<unk><unk> test'
     return input_text, output_text






  def     lowercase		(    self			:		Dict					)							->						int:
     __lowerCAmelCase							     =     BartphoTokenizer(lowerCAmelCase_ ,  self.monolingual_vocab_file ,  **self.special_tokens_map					)
     __lowerCAmelCase							     =     'This is a là test'
     __lowerCAmelCase							     =     '▁This ▁is ▁a ▁l à ▁t est'.split()
     __lowerCAmelCase							     =     tokenizer.tokenize(lowerCAmelCase_					)
     self.assertListEqual(lowerCAmelCase_ ,  lowerCAmelCase_					)

     __lowerCAmelCase							     =     tokens + [tokenizer.unk_token]
     __lowerCAmelCase							     =     [4, 5, 6, 3, 3, 7, 8, 3]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_					) ,  lowerCAmelCase_					)







from collections.abc import Sequence

def   a_   (			lowerCAmelCase_				:      Sequence[float],     lowerCAmelCase_				:      bool = False     ):
   if not arr:
      return 0

   __lowerCAmelCase							     =     0 if allow_empty_subarrays else float('-inf'     )
   __lowerCAmelCase							     =     0.0
   for num in arr:
      __lowerCAmelCase							     =     max(0 if allow_empty_subarrays else num,     curr_sum + num     )
      __lowerCAmelCase							     =     max(lowerCAmelCase_,     lowerCAmelCase_     )

   return max_sum


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

     testmod()

     _snake_case  :   Optional[Any]						   =  [-2, 1, -3, 4, -1, 2, 1, -5, 4]
     print(F"""{max_subarray_sum(nums) = }""")

