




import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class     SCREAMING_SNAKE_CASE__		(_a    ,					unittest.TestCase			):
     lowercase_ :      int				= PhobertTokenizer
     lowercase_ :      int				= False
     def        A__      (						self	:		Optional[Any]						):



       """simple docstring"""
       super().setUp()

       # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
       lowerCAmelCase__										=      ['''T@@''', '''i''', '''I''', '''R@@''', '''r''', '''e@@''']
       lowerCAmelCase__										=      dict(zip(__lowerCamelCase       ,						range(len(__lowerCamelCase						)						)						)						)
       lowerCAmelCase__										=      ['''#version: 0.2''', '''l à</w>''']
       lowerCAmelCase__										=      {'''unk_token''': '''<unk>'''}

       lowerCAmelCase__										=      os.path.join(self.tmpdirname       ,						VOCAB_FILES_NAMES['''vocab_file''']						)
       lowerCAmelCase__										=      os.path.join(self.tmpdirname       ,						VOCAB_FILES_NAMES['''merges_file''']						)

       with open(self.vocab_file       ,						'''w'''       ,						encoding='''utf-8'''						) as fp:
         for token in vocab_tokens:
           fp.write(F"""{token} {vocab_tokens[token]}\n"""						)
       with open(self.merges_file       ,						'''w'''       ,						encoding='''utf-8'''						) as fp:
         fp.write('''\n'''.join(__lowerCamelCase						)						)
     def        A__      (						self	:		Any       ,						**__lowerCamelCase	:		Tuple						):



       """simple docstring"""
       kwargs.update(self.special_tokens_map						)
       return PhobertTokenizer.from_pretrained(self.tmpdirname       ,						**__lowerCamelCase						)
     def        A__      (						self	:		Optional[Any]       ,						__lowerCamelCase	:		Tuple						):



       """simple docstring"""
       lowerCAmelCase__										=      '''Tôi là VinAI Research'''
       lowerCAmelCase__										=      '''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
       return input_text, output_text



     def        A__      (						self	:		Tuple						):



       """simple docstring"""
       lowerCAmelCase__										=      PhobertTokenizer(self.vocab_file       ,						self.merges_file       ,						**self.special_tokens_map						)
       lowerCAmelCase__										=      '''Tôi là VinAI Research'''
       lowerCAmelCase__										=      '''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
       lowerCAmelCase__										=      tokenizer.tokenize(__lowerCamelCase						)
       print(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      tokens + [tokenizer.unk_token]

       lowerCAmelCase__										=      [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase						)       ,						__lowerCamelCase						)







from __future__ import annotations
def 		a_							( __lowerCAmelCase				):
  if not nums:
    return 0
  lowerCAmelCase__										=      nums[0]
  lowerCAmelCase__										=      0
  for num in nums[1:]:
    lowerCAmelCase__				,      lowerCAmelCase__										=      (
        max_excluding + num,
        max(__lowerCAmelCase   , __lowerCAmelCase				),
    )
  return max(__lowerCAmelCase   , __lowerCAmelCase				)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

