import warnings

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




class       __lowerCAmelCase     (				a_  ):



 '''simple docstring'''
 _lowerCamelCase  :		List[Any] 			=       ['image_processor', 'tokenizer']
 _lowerCamelCase  :		Tuple 			=       'AutoImageProcessor'
 _lowerCamelCase  :		int 			=       'AutoTokenizer'

 def __init__(	self				:						Dict				,	lowerCamelCase				:						int=None				,	lowerCamelCase				:						List[Any]=None				,	**lowerCamelCase				:						Dict     )       ->							Union[str, Any]:
        _UpperCamelCase   :				List[str]       =     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				,	)
               _UpperCamelCase   :				str       =     kwargs.pop('feature_extractor'     )

        _UpperCamelCase   :				int       =     image_processor if image_processor is not None else feature_extractor
        if image_processor is None:
               raise ValueError('You have to specify an image_processor.'     )
        if tokenizer is None:
               raise ValueError('You have to specify a tokenizer.'     )

        super().__init__(lowerCamelCase				,	lowerCamelCase     )
        _UpperCamelCase   :				Dict       =     self.image_processor

 def __call__(	self				:						Optional[int]				,	lowerCamelCase				:						Tuple=None				,	lowerCamelCase				:						List[Any]=None				,	lowerCamelCase				:						Tuple=None				,	**lowerCamelCase				:						int     )       ->							Optional[Any]:

        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   :				str       =     self.tokenizer(lowerCamelCase				,	return_tensors=lowerCamelCase				,	**lowerCamelCase     )

        if images is not None:
               _UpperCamelCase   :				Optional[Any]       =     self.image_processor(lowerCamelCase				,	return_tensors=lowerCamelCase				,	**lowerCamelCase     )

        if text is not None and images is not None:
               _UpperCamelCase   :				Union[str, Any]       =     image_features.pixel_values
               return encoding
        elif text is not None:
               return encoding
        else:
               return BatchEncoding(data=dict(**lowerCamelCase     )				,	tensor_type=lowerCamelCase     )

 def     __snake_case    (	self				:						Optional[int]				,	*lowerCamelCase				:						int				,	**lowerCamelCase				:						List[Any]     )       ->							List[str]:
        return self.tokenizer.batch_decode(*lowerCamelCase				,	**lowerCamelCase     )

 def     __snake_case    (	self				:						List[Any]				,	*lowerCamelCase				:						Union[str, Any]				,	**lowerCamelCase				:						List[str]     )       ->							str:
        return self.tokenizer.decode(*lowerCamelCase				,	**lowerCamelCase     )

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

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

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




from __future__ import annotations


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int						,  lowercase_:		int ):
       assert n > 1 and a > 0 and greatest_common_divisor(lowercase_						,  lowercase_ ) == 1
       ((_UpperCamelCase)  ,					(_UpperCamelCase)  ,					(_UpperCamelCase))   :				Optional[int]       =     extended_gcd(lowercase_						,  lowercase_ )  # Implemented below
       _UpperCamelCase   :				str       =     (b * s) % n
       return x


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       ((_UpperCamelCase)  ,					(_UpperCamelCase))   :				Union[str, Any]       =     extended_euclid(lowercase_						,  lowercase_ )  # Implemented below
       if b < 0:
              _UpperCamelCase   :				Union[str, Any]       =     (b % n + n) % n
       return b


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int						,  lowercase_:		int ):
       _UpperCamelCase   :				Union[str, Any]       =     invert_modulo(lowercase_						,  lowercase_ )
       _UpperCamelCase   :				str       =     (b * s) % n
       return x


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       assert a >= 0 and b >= 0

       if b == 0:
              _UpperCamelCase  ,					_UpperCamelCase  ,					_UpperCamelCase   :				Any       =     a, 1, 0
       else:
              ((_UpperCamelCase)  ,					(_UpperCamelCase)  ,					(_UpperCamelCase))   :				Dict       =     extended_gcd(lowercase_						,  a % b )
              _UpperCamelCase   :				List[str]       =     q
              _UpperCamelCase   :				Any       =     p - q * (a // b)

       assert a % d == 0 and b % d == 0
       assert d == a * x + b * y

       return (d, x, y)


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       if b == 0:
              return (1, 0)
       ((_UpperCamelCase)  ,					(_UpperCamelCase))   :				Optional[Any]       =     extended_euclid(lowercase_						,  a % b )
       _UpperCamelCase   :				List[Any]       =     a // b
       return (y, x - k * y)


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       if a < b:
              _UpperCamelCase  ,					_UpperCamelCase   :				Optional[int]       =     b, a

       while a % b != 0:
              _UpperCamelCase  ,					_UpperCamelCase   :				Union[str, Any]       =     b, a % b

       return b


if __name__ == "__main__":
 from doctest import testmod

 testmod(name='''modular_division''', verbose=True)
 testmod(name='''modular_division2''', verbose=True)
 testmod(name='''invert_modulo''', verbose=True)
 testmod(name='''extended_gcd''', verbose=True)
 testmod(name='''extended_euclid''', verbose=True)
 testmod(name='''greatest_common_divisor''', verbose=True)



