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



class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							Dict     	=				["image_processor", "tokenizer"]
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				"AutoImageProcessor"
   _SCREAMING_SNAKE_CASE				:							List[str]     	=				"AutoTokenizer"
   def __init__(self			: int ,    snake_case_			: int ,    snake_case_			: Optional[int]       ):
    super().__init__(snake_case_ ,    snake_case_       )
    __a			:  Optional[Any]		    =  self.image_processor
   def __call__(self			: int ,    snake_case_			: Optional[Any]=None ,    snake_case_			: Dict=None ,    snake_case_			: List[Any]=None ,    **snake_case_			: 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:
     __a			:  Dict		    =  self.tokenizer(snake_case_ ,    return_tensors=snake_case_ ,    **snake_case_       )

    if images is not None:
     __a			:  Union[str, Any]		    =  self.image_processor(snake_case_ ,    return_tensors=snake_case_ ,    **snake_case_       )

    if text is not None and images is not None:
     __a			:  Dict		    =  image_features.pixel_values
     return encoding
    elif text is not None:
     return encoding
    else:
     return BatchEncoding(data=dict(**snake_case_       ) ,    tensor_type=snake_case_       )
   def 				lowerCAmelCase      (self			: Optional[int] ,    *snake_case_			: Dict ,    **snake_case_			: List[Any]       ):
    return self.tokenizer.batch_decode(*snake_case_ ,    **snake_case_       )
   def 				lowerCAmelCase      (self			: int ,    *snake_case_			: Tuple ,    **snake_case_			: Optional[Any]       ):
    return self.tokenizer.decode(*snake_case_ ,    **snake_case_       )







   @property
   def 				lowerCAmelCase      (self			: int       ):
    return ["input_ids", "attention_mask", "pixel_values"]


def        __UpperCamelCase					(    lowerCAmelCase__							:    str  ,       lowerCAmelCase__							:    str  ):
 __a			:  Any		    =  len(lowerCAmelCase__  )
 __a			:  Union[str, Any]		    =  []
 for i in range(len(lowerCAmelCase__  ) - pat_len + 1  ):
  __a			:  List[Any]		    =  True
  for j in range(lowerCAmelCase__  ):
   if s[i + j] != pattern[j]:
    __a			:  Union[str, Any]		    =  False
    break
  if match_found:
   position.append(lowerCAmelCase__  )
 return position


if __name__ == "__main__":
      assert naive_pattern_search('ABCDEFG', 'DE') == [3]
      print(naive_pattern_search('ABAAABCDBBABCDDEBCABC', 'ABC'))
