




import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       ["image_processor", "tokenizer"]
 lowercase_							       =       "CLIPImageProcessor"
 lowercase_							       =       ("XLMRobertaTokenizer", "XLMRobertaTokenizerFast")



 def __init__(				self    :						Tuple							,							_lowerCAmelCase    :						Dict=None							,							_lowerCAmelCase    :						List[Any]=None							,							**_lowerCAmelCase    :						Any		):
       SCREAMING_SNAKE_CASE_      		=     None
       if "feature_extractor" in kwargs:
             warnings.warn(
                 'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                 ' instead.'							,							_lowerCAmelCase							,							)
             SCREAMING_SNAKE_CASE_      		=     kwargs.pop('feature_extractor'		)

       SCREAMING_SNAKE_CASE_      		=     image_processor if image_processor is not None else feature_extractor
       if image_processor is None:
             raise ValueError('You need to specify an `image_processor`.'		)
       if tokenizer is None:
             raise ValueError('You need to specify a `tokenizer`.'		)

       super().__init__(_lowerCAmelCase							,							_lowerCAmelCase		)



 def __call__(				self    :						Tuple							,							_lowerCAmelCase    :						Optional[Any]=None							,							_lowerCAmelCase    :						Tuple=None							,							_lowerCAmelCase    :						Union[str, Any]=None							,							**_lowerCAmelCase    :						Optional[int]		):

       if text is None and images is None:
             raise ValueError('You have to specify either text or images. Both cannot be none.'		)

       if text is not None:
             SCREAMING_SNAKE_CASE_      		=     self.tokenizer(_lowerCAmelCase							,							return_tensors=_lowerCAmelCase							,							**_lowerCAmelCase		)

       if images is not None:
             SCREAMING_SNAKE_CASE_      		=     self.image_processor(_lowerCAmelCase							,							return_tensors=_lowerCAmelCase							,							**_lowerCAmelCase		)

       if text is not None and images is not None:
             SCREAMING_SNAKE_CASE_      		=     image_features.pixel_values
             return encoding
       elif text is not None:
             return encoding
       else:
             return BatchEncoding(data=dict(**_lowerCAmelCase		)							,							tensor_type=_lowerCAmelCase		)



 def  lowerCAmelCase_    (				self    :						str							,							*_lowerCAmelCase    :						str							,							**_lowerCAmelCase    :						Any		):
       return self.tokenizer.batch_decode(*_lowerCAmelCase							,							**_lowerCAmelCase		)



 def  lowerCAmelCase_    (				self    :						Optional[int]							,							*_lowerCAmelCase    :						Union[str, Any]							,							**_lowerCAmelCase    :						str		):
       return self.tokenizer.decode(*_lowerCAmelCase							,							**_lowerCAmelCase		)




 @property
 def  lowerCAmelCase_    (				self    :						Any		):
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer.model_input_names
       SCREAMING_SNAKE_CASE_      		=     self.image_processor.model_input_names
       return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names		)		)




'''simple docstring'''

import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
a							   =				'.'


if __name__ == "__main__":
	a							   =				os.path.join(REPO_PATH, 'utils/documentation_tests.txt')
	a							   =				[]
	a							   =				[]
	with open(doctest_file_path) as fp:
		for line in fp:
			a							   =				line.strip()
			a							   =				os.path.join(REPO_PATH, line)
			if not (os.path.isfile(path) or os.path.isdir(path)):
				non_existent_paths.append(line)
			all_paths.append(path)
	if len(non_existent_paths) > 0:
		a							   =				'\n'.join(non_existent_paths)
		raise ValueError(F"""`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}""")
	if all_paths != sorted(all_paths):
		raise ValueError('Files in `utils/documentation_tests.txt` are not in alphabetical order.')




