



class 				__snake_case						:




							def __init__(       self     :       str				,				A_     :       Dict				,				A_     :       Optional[int]):
									lowerCAmelCase_			:     str									= name
									lowerCAmelCase_			:     List[Any]									= val




							def __str__(       self     :       List[str]):
									return F"""{self.__class__.__name__}({self.name}, {self.val})"""







							def __lt__(       self     :       List[str]				,				A_     :       Tuple):
									return self.val < other.val





class 				__snake_case						:




							def __init__(       self     :       int				,				A_     :       Dict):
									lowerCAmelCase_			:     List[str]									= {}
									lowerCAmelCase_			:     Any									= {}
									lowerCAmelCase_			:     Dict									= self.build_heap(A_)




							def __getitem__(       self     :       List[str]				,				A_     :       List[Any]):
									return self.get_value(A_)




							def    UpperCAmelCase__			(       self     :       List[Any]				,				A_     :       str):
									return (idx - 1) // 2




							def    UpperCAmelCase__			(       self     :       int				,				A_     :       List[str]):
									return idx * 2 + 1




							def    UpperCAmelCase__			(       self     :       str				,				A_     :       List[Any]):
									return idx * 2 + 2




							def    UpperCAmelCase__			(       self     :       Optional[Any]				,				A_     :       Tuple):
									return self.heap_dict[key]




							def    UpperCAmelCase__			(       self     :       Union[str, Any]				,				A_     :       Tuple):
									lowerCAmelCase_			:     Dict									= len(A_) - 1
									lowerCAmelCase_			:     List[Any]									= self.get_parent_idx(A_)

									for idx, i in enumerate(A_):
											lowerCAmelCase_			:     List[str]									= idx
											lowerCAmelCase_			:     Any									= i.val

									for i in range(A_				,				-1				,				-1):
											self.sift_down(A_				,				A_)
									return array




							def    UpperCAmelCase__			(       self     :       List[str]				,				A_     :       int				,				A_     :       Tuple):
									while True:
											lowerCAmelCase_			:     Union[str, Any]									= self.get_left_child_idx(A_)  # noqa: E741
											lowerCAmelCase_			:     int									= self.get_right_child_idx(A_)

											lowerCAmelCase_			:     int									= idx
											if l < len(A_) and array[l] < array[idx]:
													lowerCAmelCase_			:     Any									= l
											if r < len(A_) and array[r] < array[smallest]:
													lowerCAmelCase_			:     List[str]									= r

											if smallest != idx:
													lowerCAmelCase_					,  lowerCAmelCase_			:     List[Any]									= array[smallest], array[idx]
													(
													    (
													    lowerCAmelCase_
													)					,  (
													    lowerCAmelCase_
													)					,  
													)			:     List[Any]									= (
													    self.idx_of_element[array[smallest]],
													    self.idx_of_element[array[idx]],
													)
													lowerCAmelCase_			:     Union[str, Any]									= smallest
											else:
													break




							def    UpperCAmelCase__			(       self     :       Tuple				,				A_     :       List[str]):
									lowerCAmelCase_			:     Any									= self.get_parent_idx(A_)
									while p >= 0 and self.heap[p] > self.heap[idx]:
											lowerCAmelCase_					,  lowerCAmelCase_			:     Optional[Any]									= self.heap[idx], self.heap[p]
											lowerCAmelCase_					,  lowerCAmelCase_			:     Optional[Any]									= (
											    self.idx_of_element[self.heap[idx]],
											    self.idx_of_element[self.heap[p]],
											)
											lowerCAmelCase_			:     int									= p
											lowerCAmelCase_			:     Tuple									= self.get_parent_idx(A_)




							def    UpperCAmelCase__			(       self     :       Optional[Any]):
									return self.heap[0]




							def    UpperCAmelCase__			(       self     :       Tuple):
									lowerCAmelCase_					,  lowerCAmelCase_			:     Optional[int]									= self.heap[-1], self.heap[0]
									lowerCAmelCase_					,  lowerCAmelCase_			:     Any									= (
									    self.idx_of_element[self.heap[-1]],
									    self.idx_of_element[self.heap[0]],
									)

									lowerCAmelCase_			:     int									= self.heap.pop()
									del self.idx_of_element[x]
									self.sift_down(0				,				self.heap)
									return x




							def    UpperCAmelCase__			(       self     :       Any				,				A_     :       Any):
									self.heap.append(A_)
									lowerCAmelCase_			:     Optional[int]									= len(self.heap) - 1
									lowerCAmelCase_			:     Optional[int]									= node.val
									self.sift_up(len(self.heap) - 1)




							def    UpperCAmelCase__			(       self     :       List[Any]):
									return len(self.heap) == 0







							def    UpperCAmelCase__			(       self     :       Optional[int]				,				A_     :       Optional[Any]				,				A_     :       int):
									assert (
									    self.heap[self.idx_of_element[node]].val > new_value
									), "newValue must be less that current value"
									lowerCAmelCase_			:     Tuple									= new_value
									lowerCAmelCase_			:     Tuple									= new_value
									self.sift_up(self.idx_of_element[node])





A__  :  List[str]								=					Node('''R''', -1)
A__  :  Optional[Any]								=					Node('''B''', 6)
A__  :  List[str]								=					Node('''A''', 3)
A__  :  Optional[Any]								=					Node('''X''', 1)
A__  :  Tuple								=					Node('''E''', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
A__  :  Optional[Any]								=					MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('''Min Heap - before decrease key''')
for i in my_min_heap.heap:
						print(i)

print('''Min Heap - After decrease key of node [B -> -17]''')
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
						print(i)

if __name__ == "__main__":
						import doctest

						doctest.testmod()











'''simple docstring'''







import warnings

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


class 			_a  (	__a ):
       __a				:     int   				=					["""image_processor""", """tokenizer"""]
       __a				:     Union[str, Any]   				=					"""ChineseCLIPImageProcessor"""
       __a				:     List[Any]   				=					("""BertTokenizer""", """BertTokenizerFast""")
       def __init__(	self						:	Dict   ,				lowercase						:	Union[str, Any]=None   ,				lowercase						:	Dict=None   ,				**lowercase						:	Optional[Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		None
           if "feature_extractor" in kwargs:
               warnings.warn(
                   '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
                   ''' instead.'''   ,				lowercase   ,				)
               UpperCAmelCase			       =		kwargs.pop('''feature_extractor'''				)

           UpperCAmelCase			       =		image_processor if image_processor is not None else feature_extractor
           if image_processor is None:
               raise ValueError('''You need to specify an `image_processor`.'''				)
           if tokenizer is None:
               raise ValueError('''You need to specify a `tokenizer`.'''				)

           super().__init__(lowercase   ,				lowercase				)
           UpperCAmelCase			       =		self.image_processor
       def __call__(	self						:	Tuple   ,				lowercase						:	Optional[Any]=None   ,				lowercase						:	Union[str, Any]=None   ,				lowercase						:	int=None   ,				**lowercase						:	Dict				):



           '''simple docstring'''

           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			       =		self.tokenizer(lowercase   ,				return_tensors=lowercase   ,				**lowercase				)

           if images is not None:
               UpperCAmelCase			       =		self.image_processor(lowercase   ,				return_tensors=lowercase   ,				**lowercase				)

           if text is not None and images is not None:
               UpperCAmelCase			       =		image_features.pixel_values
               return encoding
           elif text is not None:
               return encoding
           else:
               return BatchEncoding(data=dict(**lowercase				)   ,				tensor_type=lowercase				)
       def     A      (	self						:	int   ,				*lowercase						:	Tuple   ,				**lowercase						:	List[str]				):



           '''simple docstring'''

           return self.tokenizer.batch_decode(*lowercase   ,				**lowercase				)
       def     A      (	self						:	Optional[Any]   ,				*lowercase						:	int   ,				**lowercase						:	Optional[int]				):



           '''simple docstring'''

           return self.tokenizer.decode(*lowercase   ,				**lowercase				)
       @property
       def     A      (	self						:	Optional[int]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.tokenizer.model_input_names
           UpperCAmelCase			       =		self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)







       @property
       def     A      (	self						:	List[Any]				):



           '''simple docstring'''

           warnings.warn(
               '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''   ,				lowercase   ,				)
           return self.image_processor_class




