code: 
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  UpperCAmelCase_       :				int		   =      {
      '''configuration_deberta_v2''': ['''DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DebertaV2Config''', '''DebertaV2OnnxConfig'''],
      '''tokenization_deberta_v2''': ['''DebertaV2Tokenizer'''],
  }
  
  try:
  			if not is_tokenizers_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			UpperCAmelCase_       :				Optional[int]		   =      ['''DebertaV2TokenizerFast''']
  
  try:
  			if not is_tf_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			UpperCAmelCase_       :				Optional[int]		   =      [
  			    '''TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST''',
  			    '''TFDebertaV2ForMaskedLM''',
  			    '''TFDebertaV2ForQuestionAnswering''',
  			    '''TFDebertaV2ForSequenceClassification''',
  			    '''TFDebertaV2ForTokenClassification''',
  			    '''TFDebertaV2Model''',
  			    '''TFDebertaV2PreTrainedModel''',
  			]
  
  try:
  			if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			UpperCAmelCase_       :				int		   =      [
  			    '''DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST''',
  			    '''DebertaV2ForMaskedLM''',
  			    '''DebertaV2ForMultipleChoice''',
  			    '''DebertaV2ForQuestionAnswering''',
  			    '''DebertaV2ForSequenceClassification''',
  			    '''DebertaV2ForTokenClassification''',
  			    '''DebertaV2Model''',
  			    '''DebertaV2PreTrainedModel''',
  			]
  
  
  if TYPE_CHECKING:
  			from .configuration_deberta_va import (
  			    DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
  			    DebertaVaConfig,
  			    DebertaVaOnnxConfig,
  			)
  			from .tokenization_deberta_va import DebertaVaTokenizer
  
  			try:
  						if not is_tokenizers_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .tokenization_deberta_va_fast import DebertaVaTokenizerFast
  
  			try:
  						if not is_tf_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .modeling_tf_deberta_va import (
  						    TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
  						    TFDebertaVaForMaskedLM,
  						    TFDebertaVaForQuestionAnswering,
  						    TFDebertaVaForSequenceClassification,
  						    TFDebertaVaForTokenClassification,
  						    TFDebertaVaModel,
  						    TFDebertaVaPreTrainedModel,
  						)
  
  			try:
  						if not is_torch_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .modeling_deberta_va import (
  						    DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
  						    DebertaVaForMaskedLM,
  						    DebertaVaForMultipleChoice,
  						    DebertaVaForQuestionAnswering,
  						    DebertaVaForSequenceClassification,
  						    DebertaVaForTokenClassification,
  						    DebertaVaModel,
  						    DebertaVaPreTrainedModel,
  						)
  
  else:
  			import sys
  
  			UpperCAmelCase_       :				Dict		   =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
style_context: 
  
  import os
  import tempfile
  import unittest
  from typing import List
  
  from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
  from transformers.testing_utils import require_tokenizers
  from transformers.tokenization_utils import PreTrainedTokenizer
  from transformers.tokenization_utils_base import PreTrainedTokenizerBase
  
  
  
  
  
  
  @require_tokenizers
  class     lowerCamelCase_			(  unittest.TestCase  ):
  	_lowercase		:      List[str]    				=							EsmTokenizer
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[Any]       ):
  		super().setUp()
  		__A   : Dict								= tempfile.mkdtemp()
  		# fmt: off
  		__A   : List[str]								= ["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
  		# fmt: on
  		__A   : int								= 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	:    Dict				,			**__A	:    int       ):
  		return [self.get_tokenizer(**__A       )]
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Optional[int]				,			**__A	:    List[Any]       ):
  		return self.tokenizer_class.from_pretrained(self.tmpdirname				,			**__A       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[str]       ):
  		__A   : Union[str, Any]								= self.tokenizer_class(self.vocab_file       )
  
  		__A   : int								= tokenizer.tokenize("""LAGVS"""       )
  		self.assertListEqual(__A				,			["""L""", """A""", """G""", """V""", """S"""]       )
  		self.assertListEqual(tokenizer.convert_tokens_to_ids(__A       )				,			[4, 5, 6, 7, 8]       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    str       ):
  		__A   : Union[str, Any]								= self.tokenizer_class(self.vocab_file       )
  
  		__A   : int								= """LAGVS"""
  		self.assertListEqual(tokenizer.encode(__A       )				,			[0, 4, 5, 6, 7, 8, 2]       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : str								= self.tokenizer_class(self.vocab_file       )
  
  		__A   : Tuple								= ["""LAGVS""", """WCB"""]
  		__A   : str								= tokenizer(__A				,			padding=__A       )["""input_ids"""]
  
  		self.assertListEqual(__A				,			[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[Any]       ):
  		__A   : Dict								= self.tokenizer_class(self.vocab_file       )
  
  		__A   : Any								= ["""LAGVS""", """WCB"""]
  		__A   : str								= tokenizer(__A				,			padding=__A       )["""input_ids"""]
  
  		self.assertListEqual(__A				,			[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[str]       ):
  		__A   : Optional[int]								= self.get_tokenizers(fast=__A       )
  		for tokenizer in tokenizers:
  			with self.subTest(F"""{tokenizer.__class__.__name__}"""       ):
  				__A   : Any								= """<unk>"""
  				__A   : str								= """<mask>"""
  
  				__A   : Optional[Any]								= tokenizer.tokenize(__A       )
  				__A   : str								= tokenizer.tokenize(__A       )
  
  				self.assertEqual(len(__A       )				,			1       )
  				self.assertEqual(len(__A       )				,			1       )
  				self.assertEqual(token_a[0]				,			__A       )
  				self.assertEqual(token_a[0]				,			__A       )
  
  
  
  
  
  