

'''simple docstring'''





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 __A    (						A     ,     unittest.TestCase		):



 '''simple docstring'''







 __lowerCamelCase					: Optional[int]    = XLMTokenizer
 __lowerCamelCase					: List[Any]    = False



 def       a__						(self )					->  int:


      """simple docstring"""



      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      _a											=						[
          '''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>''',
      ]
      _a											=						dict(zip(A				,     range(len(A ) ) ) )
      _a											=						['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

      _a											=						os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES['''vocab_file'''] )
      _a											=						os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES['''merges_file'''] )
      with open(self.vocab_file				,     '''w''' ) as fp:
           fp.write(json.dumps(A ) )
      with open(self.merges_file				,     '''w''' ) as fp:
           fp.write('''\n'''.join(A ) )



 def       a__						(self				,     A )					->  List[Any]:


      """simple docstring"""



      _a											=						'''lower newer'''
      _a											=						'''lower newer'''
      return input_text, output_text



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


      """simple docstring"""



      _a											=						XLMTokenizer(self.vocab_file				,     self.merges_file )

      _a											=						'''lower'''
      _a											=						['''low''', '''er</w>''']
      _a											=						tokenizer.tokenize(A )
      self.assertListEqual(A				,     A )

      _a											=						tokens + ['''<unk>''']
      _a											=						[14, 15, 20]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(A )				,     A )



 @slow
 def       a__						(self )					->  Dict:


      """simple docstring"""



      _a											=						XLMTokenizer.from_pretrained('''xlm-mlm-en-2048''' )

      _a											=						tokenizer.encode('''sequence builders'''				,     add_special_tokens=A )
      _a											=						tokenizer.encode('''multi-sequence build'''				,     add_special_tokens=A )

      _a											=						tokenizer.build_inputs_with_special_tokens(A )
      _a											=						tokenizer.build_inputs_with_special_tokens(A				,     A )

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








'''simple docstring'''





import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
  import torch

  from transformers.generation import DisjunctiveConstraint






@require_torch
class __A    (						unittest.TestCase		):



 '''simple docstring'''







 def       a__						(self )					->  Optional[int]:


      """simple docstring"""



      _a											=						[[1, 2, 4], [1, 2, 3, 4]]
      _a											=						DisjunctiveConstraint(A )
      self.assertTrue(isinstance(dc.token_ids				,     A ) )

      with self.assertRaises(A ):
           DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]] ) )

      with self.assertRaises(A ):
           DisjunctiveConstraint([torch.LongTensor([1, 2, 4] ), torch.LongTensor([1, 2, 3, 4, 5] )] )



 def       a__						(self )					->  Any:


      """simple docstring"""



      _a											=						[[1, 2], [1, 2, 3, 4]]

      with self.assertRaises(A ):
           DisjunctiveConstraint(A )  # fails here



 def       a__						(self )					->  Dict:


      """simple docstring"""



      _a											=						[[1, 2, 3], [1, 2, 4]]

      _a											=						DisjunctiveConstraint(A )

      _a						,					_a						,					_a											=						dc.update(1 )
      _a											=						stepped is True and completed is False and reset is False
      self.assertTrue(A )
      self.assertTrue(not dc.completed )
      self.assertTrue(dc.current_seq == [1] )

      _a						,					_a						,					_a											=						dc.update(2 )
      _a											=						stepped is True and completed is False and reset is False
      self.assertTrue(A )
      self.assertTrue(not dc.completed )
      self.assertTrue(dc.current_seq == [1, 2] )

      _a						,					_a						,					_a											=						dc.update(3 )
      _a											=						stepped is True and completed is True and reset is False
      self.assertTrue(A )
      self.assertTrue(dc.completed )  # Completed!
      self.assertTrue(dc.current_seq == [1, 2, 3] )



 def       a__						(self )					->  List[Any]:


      """simple docstring"""



      _a											=						[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

      _a											=						DisjunctiveConstraint(A )

      _a						,					_a						,					_a											=						dc.update(1 )
      self.assertTrue(not dc.completed )
      self.assertTrue(dc.current_seq == [1] )

      _a						,					_a						,					_a											=						dc.update(2 )
      self.assertTrue(not dc.completed )
      self.assertTrue(dc.current_seq == [1, 2] )

      _a						,					_a						,					_a											=						dc.update(4 )
      self.assertTrue(not dc.completed )
      self.assertTrue(dc.current_seq == [1, 2, 4] )

      _a						,					_a						,					_a											=						dc.update(5 )
      self.assertTrue(dc.completed )  # Completed!
      self.assertTrue(dc.current_seq == [1, 2, 4, 5] )

      dc.reset()

      _a						,					_a						,					_a											=						dc.update(1 )
      self.assertTrue(not dc.completed )
      self.assertTrue(dc.remaining() == 3 )
      self.assertTrue(dc.current_seq == [1] )

      _a						,					_a						,					_a											=						dc.update(2 )
      self.assertTrue(not dc.completed )
      self.assertTrue(dc.remaining() == 2 )
      self.assertTrue(dc.current_seq == [1, 2] )

      _a						,					_a						,					_a											=						dc.update(5 )
      self.assertTrue(dc.completed )  # Completed!
      self.assertTrue(dc.remaining() == 0 )
      self.assertTrue(dc.current_seq == [1, 2, 5] )



