






"""simple docstring"""
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 _lowerCAmelCase						(    __UpperCAmelCase       ):
						SCREAMING_SNAKE_CASE_:					Union[str, Any] 					=				['image_processor', 'tokenizer']
						SCREAMING_SNAKE_CASE_:					Union[str, Any] 					=				'BridgeTowerImageProcessor'
						SCREAMING_SNAKE_CASE_:					Optional[Any] 					=				('RobertaTokenizer', 'RobertaTokenizerFast')







						def __init__(    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							str:
										super().__init__(lowerCAmelCase_   ,				lowerCAmelCase_							)







						def __call__(    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_ = None   ,				lowerCAmelCase_ = True   ,				lowerCAmelCase_ = False   ,				lowerCAmelCase_ = None   ,				lowerCAmelCase_ = None   ,				lowerCAmelCase_ = 0   ,				lowerCAmelCase_ = None   ,				lowerCAmelCase_ = None   ,				lowerCAmelCase_ = None   ,				lowerCAmelCase_ = False   ,				lowerCAmelCase_ = False   ,				lowerCAmelCase_ = False   ,				lowerCAmelCase_ = False   ,				lowerCAmelCase_ = True   ,				lowerCAmelCase_ = None   ,				**lowerCAmelCase_   ,				)		->							BatchEncoding:
										_SCREAMING_SNAKE_CASE   :		List[str]       		=    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
										_SCREAMING_SNAKE_CASE   :		Any       		=    self.image_processor(
										    lowerCAmelCase_   ,				return_tensors=lowerCAmelCase_   ,				do_normalize=lowerCAmelCase_   ,				do_center_crop=lowerCAmelCase_   ,				**lowerCAmelCase_							)
										encoding.update(lowerCAmelCase_							)

										return encoding







						def 			A      (    self   ,				*lowerCAmelCase_   ,				**lowerCAmelCase_							)		->							Optional[Any]:
										return self.tokenizer.batch_decode(*lowerCAmelCase_   ,				**lowerCAmelCase_							)







						def 			A      (    self   ,				*lowerCAmelCase_   ,				**lowerCAmelCase_							)		->							Any:
										return self.tokenizer.decode(*lowerCAmelCase_   ,				**lowerCAmelCase_							)







						@property
						def 			A      (    self							)		->							Tuple:
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    self.tokenizer.model_input_names
										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    self.image_processor.model_input_names
										return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names							)							)









"""simple docstring"""
class _lowerCAmelCase						:







						def __init__(    self   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		Dict       		=    size
										_SCREAMING_SNAKE_CASE   :		str       		=    [0] * size
										_SCREAMING_SNAKE_CASE   :		Any       		=    [0] * size







						@staticmethod
						def 			A      (    lowerCAmelCase_							)		->							int:
										return index | (index + 1)







						@staticmethod
						def 			A      (    lowerCAmelCase_							)		->							int:
										return (index & (index + 1)) - 1







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		str       		=    value
										while index < self.size:
														_SCREAMING_SNAKE_CASE   :		List[str]       		=    self.get_prev(lowerCAmelCase_							) + 1
														if current_left_border == index:
																		_SCREAMING_SNAKE_CASE   :		List[str]       		=    value
														else:
																		_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    max(lowerCAmelCase_   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)
														_SCREAMING_SNAKE_CASE   :		str       		=    self.get_next(lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							int:
										right -= 1  # Because of right is exclusive
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    0
										while left <= right:
														_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    self.get_prev(lowerCAmelCase_							)
														if left <= current_left:
																		_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    max(lowerCAmelCase_   ,				self.tree[right]							)
																		_SCREAMING_SNAKE_CASE   :		List[Any]       		=    current_left
														else:
																		_SCREAMING_SNAKE_CASE   :		List[str]       		=    max(lowerCAmelCase_   ,				self.arr[right]							)
																		right -= 1
										return result


if __name__ == "__main__":
			import doctest

			doctest.testmod()

