



import warnings

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



class     lowerCAmelCase_		(  a__							):
       UpperCAmelCase__    : Optional[Any]       					=  ["image_processor", "tokenizer"]
       UpperCAmelCase__    : int       					=  "CLIPImageProcessor"
       UpperCAmelCase__    : str       					=  ("XLMRobertaTokenizer", "XLMRobertaTokenizerFast")
       def __init__(      self,      SCREAMING_SNAKE_CASE_=None,      SCREAMING_SNAKE_CASE_=None,      **SCREAMING_SNAKE_CASE_	)					->		List[str]:
          UpperCamelCase   :  Optional[int]						     =     None
          if "feature_extractor" in kwargs:
             warnings.warn(
                 'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                 ' instead.',      SCREAMING_SNAKE_CASE_,      )
             UpperCamelCase   :  Optional[Any]						     =     kwargs.pop('feature_extractor'	)

          UpperCamelCase   :  str						     =     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__(SCREAMING_SNAKE_CASE_,      SCREAMING_SNAKE_CASE_	)
       def __call__(      self,      SCREAMING_SNAKE_CASE_=None,      SCREAMING_SNAKE_CASE_=None,      SCREAMING_SNAKE_CASE_=None,      **SCREAMING_SNAKE_CASE_	)					->		Tuple:

          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:
             UpperCamelCase   :  Union[str, Any]						     =     self.tokenizer(SCREAMING_SNAKE_CASE_,      return_tensors=SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)

          if images is not None:
             UpperCamelCase   :  List[Any]						     =     self.image_processor(SCREAMING_SNAKE_CASE_,      return_tensors=SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)

          if text is not None and images is not None:
             UpperCamelCase   :  int						     =     image_features.pixel_values
             return encoding
          elif text is not None:
             return encoding
          else:
             return BatchEncoding(data=dict(**SCREAMING_SNAKE_CASE_	),      tensor_type=SCREAMING_SNAKE_CASE_	)
       def  snake_case_	(      self,      *SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)					->		Union[str, Any]:
          return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)
       def  snake_case_	(      self,      *SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)					->		Optional[Any]:
          return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)






       @property
       def  snake_case_	(      self	)					->		int:
          UpperCamelCase   :  Optional[Any]						     =     self.tokenizer.model_input_names
          UpperCamelCase   :  int						     =     self.image_processor.model_input_names
          return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names	)	)








# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__UpperCAmelCase	       =	abspath(join(dirname(dirname(dirname(__file__))), '''src'''))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)
def 		UpperCamelCase     (       snake_case__	:   Dict     )     ->					List[str]:
   from transformers.testing_utils import pytest_addoption_shared

   pytest_addoption_shared(snake_case__     )


def 		UpperCamelCase     (       snake_case__	:   List[Any]     )     ->					Dict:
   from transformers.testing_utils import pytest_terminal_summary_main

   UpperCamelCase   :  Optional[int]						     =     terminalreporter.config.getoption('--make-reports'     )
   if make_reports:
      pytest_terminal_summary_main(snake_case__	,					id=snake_case__     )



