




import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin






class       A      (		_lowerCAmelCase		):
     """simple docstring"""

     _snake_case:						Any  =["image_processor", "tokenizer"]
     _snake_case:						Any  ="AutoImageProcessor"
     _snake_case:						Union[str, Any]  ="AutoTokenizer"




     def __init__(     self	: Optional[Any]						,	A__	: Tuple=None						,	A__	: Optional[int]=None						,	**A__	: List[str]      )					->							Optional[int]:
           lowerCamelCase__   	=					None
           if "feature_extractor" in kwargs:
                 warnings.warn(
                     'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                     ' instead.'						,	A__						,	)
                 lowerCamelCase__   	=					kwargs.pop('feature_extractor'      )

           lowerCamelCase__   	=					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__(A__						,	A__      )
           lowerCamelCase__   	=					self.image_processor
           lowerCamelCase__   	=					False




     def __call__(     self	: Union[str, Any]						,	*A__	: Optional[int]						,	**A__	: Tuple      )					->							str:
           # For backward compatibility
           if self._in_target_context_manager:
                 return self.current_processor(*A__						,	**A__      )

           lowerCamelCase__   	=					kwargs.pop('images'						,	A__      )
           lowerCamelCase__   	=					kwargs.pop('text'						,	A__      )
           if len(A__      ) > 0:
                 lowerCamelCase__   	=					args[0]
                 lowerCamelCase__   	=					args[1:]

           if images is None and text is None:
                 raise ValueError('You need to specify either an `images` or `text` input to process.'      )

           if images is not None:
                 lowerCamelCase__   	=					self.image_processor(A__						,	*A__						,	**A__      )
           if text is not None:
                 lowerCamelCase__   	=					self.tokenizer(A__						,	**A__      )

           if text is None:
                 return inputs
           elif images is None:
                 return encodings
           else:
                 lowerCamelCase__   	=					encodings['input_ids']
                 return inputs




     def 			__snake_case (     self	: Dict						,	*A__	: Tuple						,	**A__	: Optional[Any]      )					->							Dict:
           return self.tokenizer.batch_decode(*A__						,	**A__      )




     def 			__snake_case (     self	: str						,	*A__	: List[str]						,	**A__	: Tuple      )					->							str:
           return self.tokenizer.decode(*A__						,	**A__      )




     @contextmanager
     def 			__snake_case (     self	: Tuple      )					->							Dict:
           warnings.warn(
               '`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your '
               'labels by using the argument `text` of the regular `__call__` method (either in the same call as '
               'your images inputs, or in a separate call.'      )
           lowerCamelCase__   	=					True
           lowerCamelCase__   	=					self.tokenizer
           yield
           lowerCamelCase__   	=					self.image_processor
           lowerCamelCase__   	=					False




     @property
     def 			__snake_case (     self	: List[str]      )					->							List[str]:
           warnings.warn(
               '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'						,	A__						,	)
           return self.image_processor_class




     @property
     def 			__snake_case (     self	: List[str]      )					->							Union[str, Any]:
           warnings.warn(
               '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'						,	A__						,	)
           return self.image_processor





import math

def       lowerCAmelCase_      (	lowerCamelCase:							int    )       ->      str:


      '''simple docstring'''




      if number == 0:
            lowerCamelCase__   	=					'Zero'
            return words
      else:
            lowerCamelCase__   	=					math.logaa(lowerCamelCase    )
            lowerCamelCase__   	=					digits + 1
            lowerCamelCase__   	=					{}
            lowerCamelCase__   	=					''
            lowerCamelCase__   	=					'One'
            lowerCamelCase__   	=					'Two'
            lowerCamelCase__   	=					'Three'
            lowerCamelCase__   	=					'Four'
            lowerCamelCase__   	=					'Five'
            lowerCamelCase__   	=					'Six'
            lowerCamelCase__   	=					'Seven'
            lowerCamelCase__   	=					'Eight'
            lowerCamelCase__   	=					'Nine'

            lowerCamelCase__   	=					{}
            lowerCamelCase__   	=					''
            lowerCamelCase__   	=					'Twenty'
            lowerCamelCase__   	=					'Thirty'
            lowerCamelCase__   	=					'Forty'
            lowerCamelCase__   	=					'Fifty'
            lowerCamelCase__   	=					'Sixty'
            lowerCamelCase__   	=					'Seventy'
            lowerCamelCase__   	=					'Eighty'
            lowerCamelCase__   	=					'Ninety'

            lowerCamelCase__   	=					{}
            lowerCamelCase__   	=					'Ten'
            lowerCamelCase__   	=					'Eleven'
            lowerCamelCase__   	=					'Twelve'
            lowerCamelCase__   	=					'Thirteen'
            lowerCamelCase__   	=					'Fourteen'
            lowerCamelCase__   	=					'Fifteen'
            lowerCamelCase__   	=					'Sixteen'
            lowerCamelCase__   	=					'Seventeen'
            lowerCamelCase__   	=					'Eighteen'
            lowerCamelCase__   	=					'Nineteen'

            lowerCamelCase__   	=					{}
            lowerCamelCase__   	=					'Hundred,'
            lowerCamelCase__   	=					'Thousand,'
            lowerCamelCase__   	=					'Lakh,'
            lowerCamelCase__   	=					'Crore,'

            lowerCamelCase__   	=					number
            lowerCamelCase__   	=					''
            lowerCamelCase__   	=					0
            lowerCamelCase__   	=					int(lowerCamelCase    )
            while counter < digits:
                  lowerCamelCase__   	=					temp_num % 10
                  if counter % 2 == 0:
                        lowerCamelCase__   	=					''
                        if counter in placevalue and current != 0:
                              lowerCamelCase__   	=					placevalue[counter]
                        if counter == 2:
                              lowerCamelCase__   	=					singles[current] + addition + words
                        elif counter == 0:
                              if ((temp_num % 1_00) // 10) == 1:
                                    lowerCamelCase__   	=					teens[current] + addition + words
                                    lowerCamelCase__   	=					temp_num // 10
                                    counter += 1
                              else:
                                    lowerCamelCase__   	=					singles[current] + addition + words

                        else:
                              lowerCamelCase__   	=					doubles[current] + addition + words

                  else:
                        if counter == 1:
                              if current == 1:
                                    lowerCamelCase__   	=					teens[number % 10] + words
                              else:
                                    lowerCamelCase__   	=					''
                                    if counter in placevalue:
                                          lowerCamelCase__   	=					placevalue[counter]
                                    lowerCamelCase__   	=					doubles[current] + addition + words
                        else:
                              lowerCamelCase__   	=					''
                              if counter in placevalue:
                                    if current == 0 and ((temp_num % 1_00) // 10) == 0:
                                          lowerCamelCase__   	=					''
                                    else:
                                          lowerCamelCase__   	=					placevalue[counter]
                              if ((temp_num % 1_00) // 10) == 1:
                                    lowerCamelCase__   	=					teens[current] + addition + words
                                    lowerCamelCase__   	=					temp_num // 10
                                    counter += 1
                              else:
                                    lowerCamelCase__   	=					singles[current] + addition + words
                  counter += 1
                  lowerCamelCase__   	=					temp_num // 10
      return words


if __name__ == "__main__":
      import doctest

      doctest.testmod()