
"""simple docstring"""

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		  =		EsmTokenizer





     def 		UpperCAmelCase   (      self ):

      '''simple docstring'''




      super().setUp()
      __UpperCamelCase							    =			tempfile.mkdtemp()
      # fmt: off
      __UpperCamelCase							    =			["<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
      __UpperCamelCase							    =			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 		UpperCAmelCase   (      self      ,	**__UpperCAmelCase ):

      '''simple docstring'''




      return [self.get_tokenizer(**lowerCamelCase_ )]





     def 		UpperCAmelCase   (      self      ,	**__UpperCAmelCase ):

      '''simple docstring'''




      return self.tokenizer_class.from_pretrained(self.tmpdirname      ,	**lowerCamelCase_ )





     def 		UpperCAmelCase   (      self ):

      '''simple docstring'''




      __UpperCamelCase							    =			self.tokenizer_class(self.vocab_file )

      __UpperCamelCase							    =			tokenizer.tokenize('LAGVS' )
      self.assertListEqual(lowerCamelCase_      ,	['L', 'A', 'G', 'V', 'S'] )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_ )      ,	[4, 5, 6, 7, 8] )





     def 		UpperCAmelCase   (      self ):

      '''simple docstring'''




      __UpperCamelCase							    =			self.tokenizer_class(self.vocab_file )

      __UpperCamelCase							    =			"""LAGVS"""
      self.assertListEqual(tokenizer.encode(lowerCamelCase_ )      ,	[0, 4, 5, 6, 7, 8, 2] )





     def 		UpperCAmelCase   (      self ):

      '''simple docstring'''




      __UpperCamelCase							    =			self.tokenizer_class(self.vocab_file )

      __UpperCamelCase							    =			["""LAGVS""", """WCB"""]
      __UpperCamelCase							    =			tokenizer(lowerCamelCase_      ,	padding=lowerCamelCase_ )["""input_ids"""]

      self.assertListEqual(lowerCamelCase_      ,	[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]] )





     def 		UpperCAmelCase   (      self ):

      '''simple docstring'''




      __UpperCamelCase							    =			self.tokenizer_class(self.vocab_file )

      __UpperCamelCase							    =			["""LAGVS""", """WCB"""]
      __UpperCamelCase							    =			tokenizer(lowerCamelCase_      ,	padding=lowerCamelCase_ )["""input_ids"""]

      self.assertListEqual(lowerCamelCase_      ,	[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]] )







     def 		UpperCAmelCase   (      self ):

      '''simple docstring'''




      __UpperCamelCase							    =			self.get_tokenizers(fast=lowerCamelCase_ )
      for tokenizer in tokenizers:
       with self.subTest(F'{tokenizer.__class__.__name__}' ):
        __UpperCamelCase							    =			"""<unk>"""
        __UpperCamelCase							    =			"""<mask>"""

        __UpperCamelCase							    =			tokenizer.tokenize(lowerCamelCase_ )
        __UpperCamelCase							    =			tokenizer.tokenize(lowerCamelCase_ )

        self.assertEqual(len(lowerCamelCase_ )      ,	1 )
        self.assertEqual(len(lowerCamelCase_ )      ,	1 )
        self.assertEqual(token_a[0]      ,	lowerCamelCase_ )
        self.assertEqual(token_a[0]      ,	lowerCamelCase_ )







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase   	=  {'''configuration_visual_bert''': ['''VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VisualBertConfig''']}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase   	=  [
           '''VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''VisualBertForMultipleChoice''',
           '''VisualBertForPreTraining''',
           '''VisualBertForQuestionAnswering''',
           '''VisualBertForRegionToPhraseAlignment''',
           '''VisualBertForVisualReasoning''',
           '''VisualBertLayer''',
           '''VisualBertModel''',
           '''VisualBertPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_visual_bert import (
                  VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  VisualBertForMultipleChoice,
                  VisualBertForPreTraining,
                  VisualBertForQuestionAnswering,
                  VisualBertForRegionToPhraseAlignment,
                  VisualBertForVisualReasoning,
                  VisualBertLayer,
                  VisualBertModel,
                  VisualBertPreTrainedModel,
              )


else:
       import sys

       __lowerCamelCase   	=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



