"""simple docstring"""


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


__UpperCamelCase									=			get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')




class  UpperCamelCase					(				lowerCAmelCase__    ,		unittest.TestCase   ):
       SCREAMING_SNAKE_CASE_			=      BartphoTokenizer
       SCREAMING_SNAKE_CASE_			=      False
       SCREAMING_SNAKE_CASE_			=      True







       def 		a_						( self)      ->      int:
            super().setUp()

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

            snake_case_					       =					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')

            snake_case_					       =					BartphoTokenizer(lowerCAmelCase__,							self.monolingual_vocab_file,							**self.special_tokens_map)
            tokenizer.save_pretrained(self.tmpdirname)







       def 		a_						( self,							**lowerCAmelCase__)      ->      Union[str, Any]:
            kwargs.update(self.special_tokens_map)
            return BartphoTokenizer.from_pretrained(self.tmpdirname,							**lowerCAmelCase__)







       def 		a_						( self,							lowerCAmelCase__)      ->      Union[str, Any]:
            snake_case_					       =					'This is a là test'
            snake_case_					       =					'This is a<unk><unk> test'
            return input_text, output_text







       def 		a_						( self)      ->      Tuple:
            snake_case_					       =					BartphoTokenizer(lowerCAmelCase__,							self.monolingual_vocab_file,							**self.special_tokens_map)
            snake_case_					       =					'This is a là test'
            snake_case_					       =					'▁This ▁is ▁a ▁l à ▁t est'.split()
            snake_case_					       =					tokenizer.tokenize(lowerCAmelCase__)
            self.assertListEqual(lowerCAmelCase__,							lowerCAmelCase__)

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








import random


def 	UpperCamelCase__(       UpperCamelCase__			:       list ,     UpperCamelCase__			:       List[Any]  )->tuple:
       A__					,	A__					,	A__											=						[], [], []
       for element in data:
              if element < pivot:
                     less.append(UpperCamelCase__  )
              elif element > pivot:
                     greater.append(UpperCamelCase__  )
              else:
                     equal.append(UpperCamelCase__  )
       return less, equal, greater


def 	UpperCamelCase__(       UpperCamelCase__			:       list ,     UpperCamelCase__			:       int  )->Optional[int]:
       # index = len(items) // 2 when trying to find the median
       #   (value of index when items is sorted)

       # invalid input
       if index >= len(UpperCamelCase__  ) or index < 0:
              return None

       A__											=						items[random.randint(0 ,     len(UpperCamelCase__  ) - 1  )]
       A__											=						0
       A__					,	A__					,	A__											=						_partition(UpperCamelCase__ ,     UpperCamelCase__  )
       A__											=						len(UpperCamelCase__  )
       A__											=						len(UpperCamelCase__  )

       # index is the pivot
       if m <= index < m + count:
              return pivot
       # must be in smaller
       elif m > index:
              return quick_select(UpperCamelCase__ ,     UpperCamelCase__  )
       # must be in larger
       else:
              return quick_select(UpperCamelCase__ ,     index - (m + count)  )





