
'''simple docstring'''




import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 					A							(				__snake_case       ,     unittest.TestCase		):
     __magic_name__          =						LxmertTokenizer
     __magic_name__          =						LxmertTokenizerFast
     __magic_name__          =						True
     __magic_name__          =						True





     def 							__lowerCAmelCase				(				self      )					->							Any:






         """simple docstring"""






         super().setUp()

         A			:  List[Any]   =		[
             '''[UNK]''',
             '''[CLS]''',
             '''[SEP]''',
             '''want''',
             '''##want''',
             '''##ed''',
             '''wa''',
             '''un''',
             '''runn''',
             '''##ing''',
             ''',''',
             '''low''',
             '''lowest''',
         ]
         A			:  Tuple   =		os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''vocab_file''']      )
         with open(self.vocab_file		,     '''w'''		,     encoding='''utf-8'''      ) as vocab_writer:
             vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]      )      )





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							List[str]:






         """simple docstring"""






         A			:  Union[str, Any]   =		'''UNwant\u00E9d,running'''
         A			:  int   =		'''unwanted, running'''
         return input_text, output_text





     def 							__lowerCAmelCase				(				self      )					->							Union[str, Any]:






         """simple docstring"""






         A			:  List[Any]   =		self.tokenizer_class(self.vocab_file      )

         A			:  Tuple   =		tokenizer.tokenize('''UNwant\u00E9d,running'''      )
         self.assertListEqual(SCREAMING_SNAKE_CASE		,     ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']      )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE      )		,     [7, 4, 5, 10, 8, 9]      )





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






         """simple docstring"""






         if not self.test_rust_tokenizer:
             return

         A			:  List[str]   =		self.get_tokenizer()
         A			:  Any   =		self.get_rust_tokenizer()

         A			:  Tuple   =		'''I was born in 92000, and this is falsé.'''

         A			:  List[Any]   =		tokenizer.tokenize(SCREAMING_SNAKE_CASE      )
         A			:  Optional[int]   =		rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE      )
         self.assertListEqual(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )

         A			:  List[str]   =		tokenizer.encode(SCREAMING_SNAKE_CASE		,     add_special_tokens=SCREAMING_SNAKE_CASE      )
         A			:  Tuple   =		rust_tokenizer.encode(SCREAMING_SNAKE_CASE		,     add_special_tokens=SCREAMING_SNAKE_CASE      )
         self.assertListEqual(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )

         A			:  Dict   =		self.get_rust_tokenizer()
         A			:  Union[str, Any]   =		tokenizer.encode(SCREAMING_SNAKE_CASE      )
         A			:  Dict   =		rust_tokenizer.encode(SCREAMING_SNAKE_CASE      )
         self.assertListEqual(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )






'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase     :							Tuple       						=     {
    'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
    'tokenization_luke': ['LukeTokenizer'],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase     :							int       						=     [
          'LUKE_PRETRAINED_MODEL_ARCHIVE_LIST',
          'LukeForEntityClassification',
          'LukeForEntityPairClassification',
          'LukeForEntitySpanClassification',
          'LukeForMultipleChoice',
          'LukeForQuestionAnswering',
          'LukeForSequenceClassification',
          'LukeForTokenClassification',
          'LukeForMaskedLM',
          'LukeModel',
          'LukePreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
      from .tokenization_luke import LukeTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_luke import (
                LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
                LukeForEntityClassification,
                LukeForEntityPairClassification,
                LukeForEntitySpanClassification,
                LukeForMaskedLM,
                LukeForMultipleChoice,
                LukeForQuestionAnswering,
                LukeForSequenceClassification,
                LukeForTokenClassification,
                LukeModel,
                LukePreTrainedModel,
            )

else:
      import sys

      lowercase     :							Dict       						=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




