






'''simple docstring'''
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format






class        __SCREAMING_SNAKE_CASE :
 snake_case_												=							None




 def        __magic_name__		( self		:							Optional[Any] )		->  Dict:
       SCREAMING_SNAKE_CASE__       :			List[Any]													=self.feature_extraction_class(**self.feat_extract_dict )
       SCREAMING_SNAKE_CASE__       :			List[Any]													=json.loads(feat_extract.to_json_string() )
       for key, value in self.feat_extract_dict.items():
             self.assertEqual(obj[key]   , __lowercase )




 def        __magic_name__		( self		:							Union[str, Any] )		->  Union[str, Any]:
       SCREAMING_SNAKE_CASE__       :			Optional[Any]													=self.feature_extraction_class(**self.feat_extract_dict )

       with tempfile.TemporaryDirectory() as tmpdirname:
             SCREAMING_SNAKE_CASE__       :			Optional[int]													=os.path.join(__lowercase   , '''feat_extract.json''' )
             feat_extract_first.to_json_file(__lowercase )
             SCREAMING_SNAKE_CASE__       :			int													=self.feature_extraction_class.from_json_file(__lowercase )

       self.assertEqual(feat_extract_second.to_dict()   , feat_extract_first.to_dict() )




 def        __magic_name__		( self		:							Optional[Any] )		->  List[Any]:
       SCREAMING_SNAKE_CASE__       :			List[Any]													=self.feature_extraction_class(**self.feat_extract_dict )

       with tempfile.TemporaryDirectory() as tmpdirname:
             SCREAMING_SNAKE_CASE__       :			Dict													=feat_extract_first.save_pretrained(__lowercase )[0]
             check_json_file_has_correct_format(__lowercase )
             SCREAMING_SNAKE_CASE__       :			List[str]													=self.feature_extraction_class.from_pretrained(__lowercase )

       self.assertEqual(feat_extract_second.to_dict()   , feat_extract_first.to_dict() )




 def        __magic_name__		( self		:							Tuple )		->  Union[str, Any]:
       SCREAMING_SNAKE_CASE__       :			Tuple													=self.feature_extraction_class()
       self.assertIsNotNone(__lowercase )







'''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__)