



import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class  lowerCamelCase__    (							lowerCamelCase__   ,       unittest.TestCase):




  '''simple docstring'''



  snake_case_			=XLMTokenizer
  snake_case_			=False



  def 	lowerCAmelCase__   (self				)  ->    Dict:

      """simple docstring"""






      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      lowerCAmelCase__  :       str				=  [
          '''l''',
          '''o''',
          '''w''',
          '''e''',
          '''r''',
          '''s''',
          '''t''',
          '''i''',
          '''d''',
          '''n''',
          '''w</w>''',
          '''r</w>''',
          '''t</w>''',
          '''lo''',
          '''low''',
          '''er</w>''',
          '''low</w>''',
          '''lowest</w>''',
          '''newer</w>''',
          '''wider</w>''',
          '''<unk>''',
      ]
      lowerCAmelCase__  :       int				=  dict(zip(__lowerCamelCase	,range(len(__lowerCamelCase				)				)				)				)
      lowerCAmelCase__  :       int				=  ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

      lowerCAmelCase__  :       List[str]				=  os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES['''vocab_file''']				)
      lowerCAmelCase__  :       Dict				=  os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES['''merges_file''']				)
      with open(self.vocab_file	,'''w'''				) as fp:
          fp.write(json.dumps(__lowerCamelCase				)				)
      with open(self.merges_file	,'''w'''				) as fp:
          fp.write('''\n'''.join(__lowerCamelCase				)				)



  def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    int:

      """simple docstring"""






      lowerCAmelCase__  :       List[Any]				=  '''lower newer'''
      lowerCAmelCase__  :       List[Any]				=  '''lower newer'''
      return input_text, output_text



  def 	lowerCAmelCase__   (self				)  ->    List[str]:

      """simple docstring"""






      lowerCAmelCase__  :       int				=  XLMTokenizer(self.vocab_file	,self.merges_file				)

      lowerCAmelCase__  :       Optional[int]				=  '''lower'''
      lowerCAmelCase__  :       List[str]				=  ['''low''', '''er</w>''']
      lowerCAmelCase__  :       List[str]				=  tokenizer.tokenize(__lowerCamelCase				)
      self.assertListEqual(__lowerCamelCase	,__lowerCamelCase				)

      lowerCAmelCase__  :       str				=  tokens + ['''<unk>''']
      lowerCAmelCase__  :       Optional[Any]				=  [14, 15, 20]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase				)	,__lowerCamelCase				)



  @slow
  def 	lowerCAmelCase__   (self				)  ->    Union[str, Any]:

      """simple docstring"""






      lowerCAmelCase__  :       List[str]				=  XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''				)

      lowerCAmelCase__  :       Dict				=  tokenizer.encode('''sequence builders'''	,add_special_tokens=__lowerCamelCase				)
      lowerCAmelCase__  :       int				=  tokenizer.encode('''multi-sequence build'''	,add_special_tokens=__lowerCamelCase				)

      lowerCAmelCase__  :       List[Any]				=  tokenizer.build_inputs_with_special_tokens(__lowerCamelCase				)
      lowerCAmelCase__  :       List[str]				=  tokenizer.build_inputs_with_special_tokens(__lowerCamelCase	,__lowerCamelCase				)

      assert encoded_sentence == [0] + text + [1]
      assert encoded_pair == [0] + text + [1] + text_a + [1]






from __future__ import annotations






def 			lowerCAmelCase__	(					lowerCamelCase_	:	list[int]):





				'''simple docstring'''

				return len(set(lowerCamelCase_)) == len(lowerCamelCase_)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

