




"""simple docstring"""


class _lowerCamelCase    :






   def __init__(		self       :		Dict   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		str   )			->						Dict:

         """simple docstring"""
         lowerCAmelCase__      :			List[str]   =	name
         lowerCAmelCase__      :			Optional[int]   =	val






   def __str__(		self       :		Tuple   )			->						Optional[int]:

         """simple docstring"""
         return f"""{self.__class__.__name__}({self.name}, {self.val})"""






   def __lt__(		self       :		Tuple   ,     UpperCamelCase       :		List[str]   )			->						Optional[int]:

         """simple docstring"""
         return self.val < other.val






class _lowerCamelCase    :






   def __init__(		self       :		Union[str, Any]   ,     UpperCamelCase       :		Any   )			->						Optional[int]:

         """simple docstring"""
         lowerCAmelCase__      :			List[Any]   =	{}
         lowerCAmelCase__      :			int   =	{}
         lowerCAmelCase__      :			Any   =	self.build_heap(UpperCamelCase   )






   def __getitem__(		self       :		List[str]   ,     UpperCamelCase       :		Any   )			->						str:

         """simple docstring"""
         return self.get_value(UpperCamelCase   )






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Any   )			->						int:

         """simple docstring"""
         return (idx - 1) // 2






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		str   )			->						str:

         """simple docstring"""
         return idx * 2 + 1






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Optional[int]   )			->						Optional[Any]:

         """simple docstring"""
         return idx * 2 + 2






   def 	_lowerCAmelCase   (		self       :		Optional[int]   ,     UpperCamelCase       :		Dict   )			->						List[str]:

         """simple docstring"""
         return self.heap_dict[key]






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Optional[int]   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	len(UpperCamelCase   ) - 1
         lowerCAmelCase__      :			List[Any]   =	self.get_parent_idx(UpperCamelCase   )

         for idx, i in enumerate(UpperCamelCase   ):
               lowerCAmelCase__      :			Tuple   =	idx
               lowerCAmelCase__      :			Dict   =	i.val

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






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   ,     UpperCamelCase       :		Dict   ,     UpperCamelCase       :		Optional[Any]   )			->						Optional[Any]:

         """simple docstring"""
         while True:
               lowerCAmelCase__      :			str   =	self.get_left_child_idx(UpperCamelCase   )  # noqa: E741
               lowerCAmelCase__      :			int   =	self.get_right_child_idx(UpperCamelCase   )

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

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






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   ,     UpperCamelCase       :		Dict   )			->						Optional[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	self.get_parent_idx(UpperCamelCase   )
         while p >= 0 and self.heap[p] > self.heap[idx]:
               lowerCAmelCase__      :			Any   =	self.heap[idx], self.heap[p]
               lowerCAmelCase__      :			Optional[int]   =	(
                   self.idx_of_element[self.heap[idx]],
                   self.idx_of_element[self.heap[p]],
               )
               lowerCAmelCase__      :			Optional[Any]   =	p
               lowerCAmelCase__      :			Dict   =	self.get_parent_idx(UpperCamelCase   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						Tuple:

         """simple docstring"""
         return self.heap[0]






   def 	_lowerCAmelCase   (		self       :		Tuple   )			->						List[str]:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	self.heap[-1], self.heap[0]
         lowerCAmelCase__      :			List[Any]   =	(
             self.idx_of_element[self.heap[-1]],
             self.idx_of_element[self.heap[0]],
         )

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






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		Optional[int]   )			->						Any:

         """simple docstring"""
         self.heap.append(UpperCamelCase   )
         lowerCAmelCase__      :			Union[str, Any]   =	len(self.heap   ) - 1
         lowerCAmelCase__      :			Tuple   =	node.val
         self.sift_up(len(self.heap   ) - 1   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						Any:

         """simple docstring"""
         return len(self.heap   ) == 0






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Any   ,     UpperCamelCase       :		Any   )			->						Optional[int]:

         """simple docstring"""
         assert (
             self.heap[self.idx_of_element[node]].val > new_value
         ), "newValue must be less that current value"
         lowerCAmelCase__      :			List[str]   =	new_value
         lowerCAmelCase__      :			Tuple   =	new_value
         self.sift_up(self.idx_of_element[node]   )






_A													=      Node("""R""", -1)
_A													=      Node("""B""", 6)
_A													=      Node("""A""", 3)
_A													=      Node("""X""", 1)
_A													=      Node("""E""", 4)

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

# Generating Min-Heap from array
_A													=      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, -1_7)

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

if __name__ == "__main__":
  import doctest

  doctest.testmod()











"""simple docstring"""


from typing import List, Optional, Union

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


class _lowerCamelCase    (					a_						):
   _lowerCamelCase    :Dict     				=     ["image_processor", "tokenizer"]
   _lowerCamelCase    :Dict     				=     "BlipImageProcessor"
   _lowerCamelCase    :Any     				=     ("BertTokenizer", "BertTokenizerFast")






   def __init__(		self       :		Dict   ,     UpperCamelCase       :		Optional[int]   ,     UpperCamelCase       :		Union[str, Any]   )			->						str:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	False
         super().__init__(UpperCamelCase   ,     UpperCamelCase   )
         lowerCAmelCase__      :			List[Any]   =	self.image_processor






   def __call__(		self       :		int   ,     UpperCamelCase       :		ImageInput = None   ,     UpperCamelCase       :		Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None   ,     UpperCamelCase       :		bool = True   ,     UpperCamelCase       :		Union[bool, str, PaddingStrategy] = False   ,     UpperCamelCase       :		Union[bool, str, TruncationStrategy] = None   ,     UpperCamelCase       :		Optional[int] = None   ,     UpperCamelCase       :		int = 0   ,     UpperCamelCase       :		Optional[int] = None   ,     UpperCamelCase       :		Optional[bool] = None   ,     UpperCamelCase       :		bool = False   ,     UpperCamelCase       :		bool = False   ,     UpperCamelCase       :		bool = False   ,     UpperCamelCase       :		bool = False   ,     UpperCamelCase       :		bool = False   ,     UpperCamelCase       :		bool = True   ,     UpperCamelCase       :		Optional[Union[str, TensorType]] = None   ,     **UpperCamelCase       :		Optional[int]   ,     )			->						BatchEncoding:

         """simple docstring"""
         if images is None and text is None:
               raise ValueError("""You have to specify either images or text."""   )

         # Get only text
         if images is None:
               lowerCAmelCase__      :			Any   =	self.tokenizer
               lowerCAmelCase__      :			Optional[int]   =	self.tokenizer(
                   text=UpperCamelCase   ,     add_special_tokens=UpperCamelCase   ,     padding=UpperCamelCase   ,     truncation=UpperCamelCase   ,     max_length=UpperCamelCase   ,     stride=UpperCamelCase   ,     pad_to_multiple_of=UpperCamelCase   ,     return_attention_mask=UpperCamelCase   ,     return_overflowing_tokens=UpperCamelCase   ,     return_special_tokens_mask=UpperCamelCase   ,     return_offsets_mapping=UpperCamelCase   ,     return_token_type_ids=UpperCamelCase   ,     return_length=UpperCamelCase   ,     verbose=UpperCamelCase   ,     return_tensors=UpperCamelCase   ,     **UpperCamelCase   ,     )
               return text_encoding

         # add pixel_values
         lowerCAmelCase__      :			Tuple   =	self.image_processor(UpperCamelCase   ,     return_tensors=UpperCamelCase   )

         if text is not None:
               lowerCAmelCase__      :			Optional[int]   =	self.tokenizer(
                   text=UpperCamelCase   ,     add_special_tokens=UpperCamelCase   ,     padding=UpperCamelCase   ,     truncation=UpperCamelCase   ,     max_length=UpperCamelCase   ,     stride=UpperCamelCase   ,     pad_to_multiple_of=UpperCamelCase   ,     return_attention_mask=UpperCamelCase   ,     return_overflowing_tokens=UpperCamelCase   ,     return_special_tokens_mask=UpperCamelCase   ,     return_offsets_mapping=UpperCamelCase   ,     return_token_type_ids=UpperCamelCase   ,     return_length=UpperCamelCase   ,     verbose=UpperCamelCase   ,     return_tensors=UpperCamelCase   ,     **UpperCamelCase   ,     )
         else:
               lowerCAmelCase__      :			Tuple   =	None

         if text_encoding is not None:
               encoding_image_processor.update(UpperCamelCase   )

         return encoding_image_processor






   def 	_lowerCAmelCase   (		self       :		int   ,     *UpperCamelCase       :		Union[str, Any]   ,     **UpperCamelCase       :		List[str]   )			->						Dict:

         """simple docstring"""
         return self.tokenizer.batch_decode(*UpperCamelCase   ,     **UpperCamelCase   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   ,     *UpperCamelCase       :		Tuple   ,     **UpperCamelCase       :		List[str]   )			->						List[Any]:

         """simple docstring"""
         return self.tokenizer.decode(*UpperCamelCase   ,     **UpperCamelCase   )






   @property
   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						Tuple:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[int]   =	self.tokenizer.model_input_names
         lowerCAmelCase__      :			Union[str, Any]   =	self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names   )   )





