






'''simple docstring'''
import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class        __SCREAMING_SNAKE_CASE (     lowerCamelCase		,			unittest.TestCase			):
 snake_case_												=							MgpstrTokenizer
 snake_case_												=							False
 snake_case_												=							{}
 snake_case_												=							False




 def        __magic_name__		( self		:							Dict )		->  Tuple:
       super().setUp()

       # fmt: off
       SCREAMING_SNAKE_CASE__       :			List[Any]													=['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
       # fmt: on
       SCREAMING_SNAKE_CASE__       :			List[str]													=dict(zip(__lowercase   , range(len(__lowercase ) ) ) )

       SCREAMING_SNAKE_CASE__       :			str													=os.path.join(self.tmpdirname   , VOCAB_FILES_NAMES['''vocab_file'''] )
       with open(self.vocab_file   , '''w'''   , encoding='''utf-8''' ) as fp:
             fp.write(json.dumps(__lowercase ) + '''\n''' )




 def        __magic_name__		( self		:							List[Any]   , **__lowercase		:							Tuple )		->  Optional[Any]:
       return MgpstrTokenizer.from_pretrained(self.tmpdirname   , **__lowercase )




 def        __magic_name__		( self		:							Optional[int]   , __lowercase		:							List[str] )		->  Optional[int]:
       SCREAMING_SNAKE_CASE__       :			Union[str, Any]													='''tester'''
       SCREAMING_SNAKE_CASE__       :			str													='''tester'''
       return input_text, output_text




 @unittest.skip('''MGP-STR always lower cases letters.''' )
 def        __magic_name__		( self		:							str )		->  List[Any]:
       pass




 def        __magic_name__		( self		:							str )		->  int:
       SCREAMING_SNAKE_CASE__       :			Optional[int]													=self.get_tokenizers(do_lower_case=__lowercase )
       for tokenizer in tokenizers:
             with self.subTest(F"{tokenizer.__class__.__name__}" ):
                   SCREAMING_SNAKE_CASE__       :			Any													='''[SPECIAL_TOKEN]'''

                   tokenizer.add_special_tokens({'''cls_token''': special_token} )
                   SCREAMING_SNAKE_CASE__       :			List[Any]													=tokenizer.encode([special_token]   , add_special_tokens=__lowercase )
                   self.assertEqual(len(__lowercase )   , 1 )

                   SCREAMING_SNAKE_CASE__       :			int													=tokenizer.decode(__lowercase   , skip_special_tokens=__lowercase )
                   self.assertTrue(special_token not in decoded )




 def        __magic_name__		( self		:							List[str] )		->  Dict:
       SCREAMING_SNAKE_CASE__       :			List[Any]													=self.get_tokenizers()
       for tokenizer in tokenizers:
             with self.subTest(F"{tokenizer.__class__.__name__}" ):
                   SCREAMING_SNAKE_CASE__						,		SCREAMING_SNAKE_CASE__       :			List[Any]													=self.get_input_output_texts(__lowercase )

                   SCREAMING_SNAKE_CASE__       :			Dict													=tokenizer.tokenize(__lowercase )
                   SCREAMING_SNAKE_CASE__       :			List[Any]													=tokenizer.convert_tokens_to_ids(__lowercase )
                   SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=tokenizer.encode(__lowercase   , add_special_tokens=__lowercase )
                   self.assertListEqual(__lowercase   , __lowercase )

                   SCREAMING_SNAKE_CASE__       :			Any													=tokenizer.convert_ids_to_tokens(__lowercase )
                   self.assertNotEqual(len(__lowercase )   , 0 )
                   SCREAMING_SNAKE_CASE__       :			Optional[Any]													=tokenizer.decode(__lowercase )
                   self.assertIsInstance(__lowercase   , __lowercase )

                   self.assertEqual(text_a.replace(''' '''   , '''''' )   , __lowercase )




 @unittest.skip('''MGP-STR tokenizer only handles one sequence.''' )
 def        __magic_name__		( self		:							Dict )		->  List[str]:
       pass




 @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer''' )
 def        __magic_name__		( self		:							Tuple )		->  str:
       pass







'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_					=	{
    'configuration_instructblip': [
        'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InstructBlipConfig',
        'InstructBlipQFormerConfig',
        'InstructBlipVisionConfig',
    ],
    'processing_instructblip': ['InstructBlipProcessor'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_					=	[
      'INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
      'InstructBlipQFormerModel',
      'InstructBlipPreTrainedModel',
      'InstructBlipForConditionalGeneration',
      'InstructBlipVisionModel',
  ]

if TYPE_CHECKING:
  from .configuration_instructblip import (
      INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
      InstructBlipConfig,
      InstructBlipQFormerConfig,
      InstructBlipVisionConfig,
  )
  from .processing_instructblip import InstructBlipProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_instructblip import (
        INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
        InstructBlipForConditionalGeneration,
        InstructBlipPreTrainedModel,
        InstructBlipQFormerModel,
        InstructBlipVisionModel,
    )

else:
  import sys

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