
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class __snake_case		(				lowerCAmelCase					):
    _a		:						Union[str, Any]=    ["image_processor", "tokenizer"]
    _a		:						Tuple=    "BridgeTowerImageProcessor"
    _a		:						Tuple=    ("RobertaTokenizer", "RobertaTokenizerFast")
    def __init__(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           super().__init__(snake_case		,snake_case				)
    def __call__(  self		,snake_case		,snake_case = None		,snake_case = True		,snake_case = False		,snake_case = None		,snake_case = None		,snake_case = 0		,snake_case = None		,snake_case = None		,snake_case = None		,snake_case = False		,snake_case = False		,snake_case = False		,snake_case = False		,snake_case = True		,snake_case = None		,**snake_case		,):



           '''simple docstring'''







           lowercase							:					List[str]	     =				self.tokenizer(
               text=snake_case		,add_special_tokens=snake_case		,padding=snake_case		,truncation=snake_case		,max_length=snake_case		,stride=snake_case		,pad_to_multiple_of=snake_case		,return_token_type_ids=snake_case		,return_attention_mask=snake_case		,return_overflowing_tokens=snake_case		,return_special_tokens_mask=snake_case		,return_offsets_mapping=snake_case		,return_length=snake_case		,verbose=snake_case		,return_tensors=snake_case		,**snake_case		,)
           # add pixel_values + pixel_mask
           lowercase							:					Optional[Any]	     =				self.image_processor(
               snake_case		,return_tensors=snake_case		,do_normalize=snake_case		,do_center_crop=snake_case		,**snake_case				)
           encoding.update(snake_case				)

           return encoding
    def 				_SCREAMING_SNAKE_CASE	(  self		,*snake_case		,**snake_case				):



           '''simple docstring'''







           return self.tokenizer.batch_decode(*snake_case		,**snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,*snake_case		,**snake_case				):



           '''simple docstring'''







           return self.tokenizer.decode(*snake_case		,**snake_case				)
    @property
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					int	     =				self.tokenizer.model_input_names
           lowercase							:					List[Any]	     =				self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)


def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   int:

       def count_of_possible_combinations(SCREAMING_SNAKE_CASE__    ) -> int:
              if target < 0:
                     return 0
              if target == 0:
                     return 1
              return sum(count_of_possible_combinations(target - item    ) for item in array    )

       return count_of_possible_combinations(SCREAMING_SNAKE_CASE__    )







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   int:

       def count_of_possible_combinations_with_dp_array(
           SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    ) -> int:
              if target < 0:
                     return 0
              if target == 0:
                     return 1
              if dp_array[target] != -1:
                     return dp_array[target]
              lowercase							:					Any	     =				sum(
                  count_of_possible_combinations_with_dp_array(target - item ,     SCREAMING_SNAKE_CASE__    )
                  for item in array    )
              lowercase							:					Optional[int]	     =				answer
              return answer

       lowercase							:					int	     =				[-1] * (target + 1)
       return count_of_possible_combinations_with_dp_array(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   int:
       lowercase							:					str	     =				[0] * (target + 1)
       lowercase							:					Tuple	     =				1

       for i in range(1 ,     target + 1    ):
              for j in range(SCREAMING_SNAKE_CASE__    ):
                     if i - array[j] >= 0:
                            dp_array[i] += dp_array[i - array[j]]

       return dp_array[target]


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  lowercase  : Any						   =							3
  lowercase  : Optional[Any]						   =							5
  lowercase  : Tuple						   =							[1, 2, 5]
  print(combination_sum_iv(n, array, target))
