






import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format

class 				lowerCAmelCase_	:
				_UpperCamelCase					:       Dict							       = None


				def 						__a					(					self      ):
											_lowercase							:   Dict 							=   self.feature_extraction_class(**self.feat_extract_dict      )
											_lowercase							:   Dict 							=   json.loads(feat_extract.to_json_string()      )
											for key, value in self.feat_extract_dict.items():
																		self.assertEqual(obj[key] ,						_lowerCAmelCase      )


				def 						__a					(					self      ):
											_lowercase							:   str 							=   self.feature_extraction_class(**self.feat_extract_dict      )

											with tempfile.TemporaryDirectory() as tmpdirname:
																		_lowercase							:   Tuple 							=   os.path.join(_lowerCAmelCase ,						'feat_extract.json'      )
																		feat_extract_first.to_json_file(_lowerCAmelCase      )
																		_lowercase							:   str 							=   self.feature_extraction_class.from_json_file(_lowerCAmelCase      )

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


				def 						__a					(					self      ):
											_lowercase							:   Union[str, Any] 							=   self.feature_extraction_class(**self.feat_extract_dict      )

											with tempfile.TemporaryDirectory() as tmpdirname:
																		_lowercase							:   int 							=   feat_extract_first.save_pretrained(_lowerCAmelCase      )[0]
																		check_json_file_has_correct_format(_lowerCAmelCase      )
																		_lowercase							:   int 							=   self.feature_extraction_class.from_pretrained(_lowerCAmelCase      )

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


				def 						__a					(					self      ):
											_lowercase							:   Any 							=   self.feature_extraction_class()
											self.assertIsNotNone(_lowerCAmelCase      )









'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_UpperCamelCase											=		{
    'configuration_bridgetower': [
        'BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BridgeTowerConfig',
        'BridgeTowerTextConfig',
        'BridgeTowerVisionConfig',
    ],
    'processing_bridgetower': ['BridgeTowerProcessor'],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase											=		['BridgeTowerImageProcessor']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase											=		[
       'BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BridgeTowerForContrastiveLearning',
       'BridgeTowerForImageAndTextRetrieval',
       'BridgeTowerForMaskedLM',
       'BridgeTowerModel',
       'BridgeTowerPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_bridgetower import (
       BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BridgeTowerConfig,
       BridgeTowerTextConfig,
       BridgeTowerVisionConfig,
   )
   from .processing_bridgetower import BridgeTowerProcessor

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_bridgetower import BridgeTowerImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_bridgetower import (
          BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
          BridgeTowerForContrastiveLearning,
          BridgeTowerForImageAndTextRetrieval,
          BridgeTowerForMaskedLM,
          BridgeTowerModel,
          BridgeTowerPreTrainedModel,
      )


else:
   import sys

   _UpperCamelCase											=		_LazyModule(__name__, globals()['__file__'], _import_structure)






