


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     a		(_lowerCAmelCase				):




							"""simple docstring"""


							__UpperCAmelCase   :							Union[str, Any]					  =  ["image_processor", "tokenizer"]
							__UpperCAmelCase   :							Union[str, Any]					  =  "BridgeTowerImageProcessor"
							__UpperCAmelCase   :							Union[str, Any]					  =  ("RobertaTokenizer", "RobertaTokenizerFast")

							def __init__(							self	:  List[Any]   ,     lowerCamelCase	:  Union[str, Any]   ,     lowerCamelCase	:  Optional[int]    )     ->   Dict:
														super().__init__(lowerCamelCase   ,     lowerCamelCase    )

							def __call__(							self	:  Dict   ,     lowerCamelCase	:  Union[str, Any]   ,     lowerCamelCase	:  Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None   ,     lowerCamelCase	:  bool = True   ,     lowerCamelCase	:  Union[bool, str, PaddingStrategy] = False   ,     lowerCamelCase	:  Union[bool, str, TruncationStrategy] = None   ,     lowerCamelCase	:  Optional[int] = None   ,     lowerCamelCase	:  int = 0   ,     lowerCamelCase	:  Optional[int] = None   ,     lowerCamelCase	:  Optional[bool] = None   ,     lowerCamelCase	:  Optional[bool] = None   ,     lowerCamelCase	:  bool = False   ,     lowerCamelCase	:  bool = False   ,     lowerCamelCase	:  bool = False   ,     lowerCamelCase	:  bool = False   ,     lowerCamelCase	:  bool = True   ,     lowerCamelCase	:  Optional[Union[str, TensorType]] = None   ,     **lowerCamelCase	:  Any   ,     )     ->   BatchEncoding:
														__snake_case		:      List[Any]										=       self.tokenizer(
														    text=lowerCamelCase   ,     add_special_tokens=lowerCamelCase   ,     padding=lowerCamelCase   ,     truncation=lowerCamelCase   ,     max_length=lowerCamelCase   ,     stride=lowerCamelCase   ,     pad_to_multiple_of=lowerCamelCase   ,     return_token_type_ids=lowerCamelCase   ,     return_attention_mask=lowerCamelCase   ,     return_overflowing_tokens=lowerCamelCase   ,     return_special_tokens_mask=lowerCamelCase   ,     return_offsets_mapping=lowerCamelCase   ,     return_length=lowerCamelCase   ,     verbose=lowerCamelCase   ,     return_tensors=lowerCamelCase   ,     **lowerCamelCase   ,     )
														# add pixel_values + pixel_mask
														__snake_case		:      int										=       self.image_processor(
														    lowerCamelCase   ,     return_tensors=lowerCamelCase   ,     do_normalize=lowerCamelCase   ,     do_center_crop=lowerCamelCase   ,     **lowerCamelCase    )
														encoding.update(lowerCamelCase    )

														return encoding

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

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






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





def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							if index == r:
														for j in range(__lowerCamelCase     ):
																					print(data[j]							,     end=" "     )
														print(" "     )
														return
							#  When no more elements are there to put in data[]
							if i >= n:
														return
							# current is included, put next at next location
							__snake_case		:      Union[str, Any]										=       arr[i]
							combination_util(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     index + 1							,     __lowerCamelCase							,     i + 1     )
							# current is excluded, replace it with
							# next (Note that i+1 is passed, but
							# index is not changed)
							combination_util(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     i + 1     )
							# The main function that prints all combinations
							# of size r in arr[] of size n. This function
							# mainly uses combinationUtil()







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							# A temporary array to store all combination one by one
							__snake_case		:      Union[str, Any]										=       [0] * r
							# Print all combination using temporary array 'data[]'
							combination_util(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase							,     0							,     __lowerCamelCase							,     0     )


if __name__ == "__main__":
			# Driver code to check the function above
			_snake_case					:		List[str]      =    [10, 20, 30, 40, 50]
			print_combination(arr, len(arr), 3)
			# This code is contributed by Ambuj sahu

