code: 
  class 					snake_case__  :
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_							)		->			Optional[Any]:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   Any			=	val
  								# Number of nodes in left subtree
  								a_       :   List[Any]			=	0
  								a_       :   List[Any]			=	None
  								a_       :   List[str]			=	None
  								a_       :   Optional[Any]			=	None
  
  
  
  
  
  	def     A				(  self				,    UpperCamelCase_							)		->			int:
  								"""simple docstring"""
  
  
  
  
  
  
  								assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"
  
  								if self.val < other.val:
  															a_       :   List[str]			=	self.right
  															a_       :   Union[str, Any]			=	None
  															if self.right:
  																						a_       :   Optional[int]			=	other
  															a_       :   Tuple			=	other
  															a_       :   List[Any]			=	self.left_tree_size * 2 + 1
  															return self
  								else:
  															a_       :   Any			=	other.right
  															a_       :   Tuple			=	None
  															if other.right:
  																						a_       :   Optional[Any]			=	self
  															a_       :   Dict			=	self
  															a_       :   List[Any]			=	other.left_tree_size * 2 + 1
  															return other
  
  
  
  
  
  class 					snake_case__  :
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_=None				,    UpperCamelCase_=None				,    UpperCamelCase_=0							)		->			List[Any]:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   List[Any]			=	heap_size
  								a_       :   Dict			=	bottom_root
  								a_       :   List[str]			=	min_node
  
  
  
  
  
  	def     A				(  self				,    UpperCamelCase_							)		->			str:
  								"""simple docstring"""
  
  
  
  
  
  
  								if other.size == 0:
  															return None
  								if self.size == 0:
  															a_       :   str			=	other.size
  															a_       :   Optional[Any]			=	other.bottom_root
  															a_       :   Any			=	other.min_node
  															return None
  								# Update size
  								a_       :   List[Any]			=	self.size + other.size
  
  								# Update min.node
  								if self.min_node.val > other.min_node.val:
  															a_       :   List[Any]			=	other.min_node
  								# Merge
  
  								# Order roots by left_subtree_size
  								a_       :   Optional[int]			=	[]
  								a_		,				a_       :   Tuple			=	self.bottom_root, other.bottom_root
  								while i or j:
  															if i and ((not j) or i.left_tree_size < j.left_tree_size):
  																						combined_roots_list.append((i, True)							)
  																						a_       :   str			=	i.parent
  															else:
  																						combined_roots_list.append((j, False)							)
  																						a_       :   Optional[int]			=	j.parent
          # Insert links between them
  								for i in range(len(lowerCAmelCase_							) - 1							):
  															if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
  																						a_       :   str			=	combined_roots_list[i + 1][0]
  																						a_       :   Any			=	combined_roots_list[i][0]
          # Consecutively merge roots with same left_tree_size
  								a_       :   str			=	combined_roots_list[0][0]
  								while i.parent:
  															if (
  															    (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
  															) or (
  															    i.left_tree_size == i.parent.left_tree_size
  															    and i.left_tree_size != i.parent.parent.left_tree_size
  															):
  																						# Neighbouring Nodes
  																						a_       :   str			=	i.left
  																						a_       :   Tuple			=	i.parent.parent
  
  																						# Merging trees
  																						a_       :   Dict			=	i.merge_trees(i.parent							)
  
  																						# Updating links
  																						a_       :   Tuple			=	previous_node
  																						a_       :   int			=	next_node
  																						if previous_node:
  																													a_       :   Union[str, Any]			=	i
  																						if next_node:
  																													a_       :   List[Any]			=	i
  															else:
  																						a_       :   Union[str, Any]			=	i.parent
          # Updating self.bottom_root
  								while i.left:
  															a_       :   Optional[Any]			=	i.left
  								a_       :   Union[str, Any]			=	i
  
  								# Update other
  								a_       :   int			=	self.size
  								a_       :   List[str]			=	self.bottom_root
  								a_       :   Optional[int]			=	self.min_node
  
  								# Return the merged heap
  								return self
  
  
  
  
  
  	def     A				(  self				,    UpperCamelCase_							)		->			Optional[Any]:
  								"""simple docstring"""
  
  
  
  
  
  
  								if self.size == 0:
  															a_       :   Optional[Any]			=	Node(lowerCAmelCase_							)
  															a_       :   Dict			=	1
  															a_       :   Any			=	self.bottom_root
  								else:
  															# Create new node
  															a_       :   List[str]			=	Node(lowerCAmelCase_							)
  
  															# Update size
  															self.size += 1
  
  															# update min_node
  															if val < self.min_node.val:
  																						a_       :   Optional[Any]			=	new_node
  															# Put new_node as a bottom_root in heap
  															a_       :   str			=	new_node
  															a_       :   Dict			=	self.bottom_root
  															a_       :   int			=	new_node
  
  															# Consecutively merge roots with same left_tree_size
  															while (
  															    self.bottom_root.parent
  															    and self.bottom_root.left_tree_size
  															    == self.bottom_root.parent.left_tree_size
  															):
  																						# Next node
  																						a_       :   Any			=	self.bottom_root.parent.parent
  
  																						# Merge
  																						a_       :   Tuple			=	self.bottom_root.merge_trees(self.bottom_root.parent							)
  
  																						# Update Links
  																						a_       :   List[str]			=	next_node
  																						a_       :   Any			=	None
  																						if next_node:
  																													a_       :   Tuple			=	self.bottom_root
  
  
  
  
  
  	def     A				(  self							)		->			int:
  								"""simple docstring"""
  
  
  
  
  
  
  								return self.min_node.val
  
  
  
  
  
  	def     A				(  self							)		->			List[str]:
  								"""simple docstring"""
  
  
  
  
  
  
  								return self.size == 0
  
  
  
  
  
  	def     A				(  self							)		->			Any:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   int			=	self.min_node.val
  
  								# Last element in heap corner case
  								if self.size == 1:
  															# Update size
  															a_       :   Optional[int]			=	0
  
  															# Update bottom root
  															a_       :   Any			=	None
  
  															# Update min_node
  															a_       :   str			=	None
  
  															return min_value
  								# No right subtree corner case
  								# The structure of the tree implies that this should be the bottom root
  								# and there is at least one other root
  								if self.min_node.right is None:
  															# Update size
  															self.size -= 1
  
  															# Update bottom root
  															a_       :   Union[str, Any]			=	self.bottom_root.parent
  															a_       :   List[str]			=	None
  
  															# Update min_node
  															a_       :   Dict			=	self.bottom_root
  															a_       :   Optional[int]			=	self.bottom_root.parent
  															while i:
  																						if i.val < self.min_node.val:
  																													a_       :   Tuple			=	i
  																						a_       :   str			=	i.parent
  															return min_value
  								# General case
  								# Find the BinomialHeap of the right subtree of min_node
  								a_       :   Optional[int]			=	self.min_node.right
  								a_       :   Tuple			=	None
  								a_       :   Optional[int]			=	bottom_of_new
  								a_       :   int			=	1
  
  								# Size, min_node and bottom_root
  								while bottom_of_new.left:
  															a_       :   Dict			=	size_of_new * 2 + 1
  															a_       :   Optional[Any]			=	bottom_of_new.left
  															if bottom_of_new.val < min_of_new.val:
  																						a_       :   Tuple			=	bottom_of_new
          # Corner case of single root on top left path
  								if (not self.min_node.left) and (not self.min_node.parent):
  															a_       :   int			=	size_of_new
  															a_       :   int			=	bottom_of_new
  															a_       :   Optional[int]			=	min_of_new
  															# print("Single root, multiple nodes case")
  															return min_value
  								# Remaining cases
  								# Construct heap of right subtree
  								a_       :   Optional[int]			=	BinomialHeap(
  								    bottom_root=lowerCAmelCase_				,    min_node=lowerCAmelCase_				,    heap_size=lowerCAmelCase_							)
  
  								# Update size
  								a_       :   Tuple			=	self.size - 1 - size_of_new
  
  								# Neighbour nodes
  								a_       :   Optional[int]			=	self.min_node.left
  								a_       :   Any			=	self.min_node.parent
  
  								# Initialize new bottom_root and min_node
  								a_       :   Dict			=	previous_node or next_node
  								a_       :   str			=	next_node
  
  								# Update links of previous_node and search below for new min_node and
  								# bottom_root
  								if previous_node:
  															a_       :   Any			=	next_node
  
  															# Update bottom_root and search for min_node below
  															a_       :   Dict			=	previous_node
  															a_       :   Optional[int]			=	previous_node
  															while self.bottom_root.left:
  																						a_       :   List[str]			=	self.bottom_root.left
  																						if self.bottom_root.val < self.min_node.val:
  																													a_       :   Union[str, Any]			=	self.bottom_root
  								if next_node:
  															a_       :   str			=	previous_node
  
  															# Search for new min_node above min_node
  															a_       :   int			=	next_node
  															while i:
  																						if i.val < self.min_node.val:
  																													a_       :   Optional[Any]			=	i
  																						a_       :   Optional[int]			=	i.parent
          # Merge heaps
  								self.merge_heaps(lowerCAmelCase_							)
  
  								return min_value
  
  
  
  
  
  	def     A				(  self							)		->			Tuple:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   Optional[Any]			=	self.bottom_root
  								while top_root.parent:
  															a_       :   Tuple			=	top_root.parent
  								# preorder
  								a_       :   int			=	[]
  								self.__traversal(lowerCAmelCase_				,    lowerCAmelCase_							)
  								return heap_pre_order
  
  
  
  
  
  	def     A				(  self				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_=0							)		->			str:
  								"""simple docstring"""
  
  
  
  
  
  
  								if curr_node:
  															preorder.append((curr_node.val, level)							)
  															self.__traversal(curr_node.left				,    lowerCAmelCase_				,    level + 1							)
  															self.__traversal(curr_node.right				,    lowerCAmelCase_				,    level + 1							)
  								else:
  															preorder.append(("""#""", level)							)
  
  
  
  
  
  	def __str__(  self							)		->			Union[str, Any]:
  								"""simple docstring"""
  
  
  
  
  
  
  								if self.is_empty():
  															return ""
  								a_       :   Tuple			=	self.pre_order()
  
  								return "\n".join(("""-""" * level + str(lowerCAmelCase_							)) for value, level in preorder_heap							)
  
  
  # Unit Tests
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  
style_context: 
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from packaging import version
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE : Dict          =    logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE : str          =    {
      "apple/mobilevit-small": "https://huggingface.co/apple/mobilevit-small/resolve/main/config.json",
      "apple/mobilevit-x-small": "https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json",
      "apple/mobilevit-xx-small": "https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json",
      "apple/deeplabv3-mobilevit-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"
      ),
      "apple/deeplabv3-mobilevit-x-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"
      ),
      "apple/deeplabv3-mobilevit-xx-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"
      ),
      # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
  }
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  	UpperCAmelCase   :							List[str]         = """mobilevit"""
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_=3				,    UpperCamelCase_=256				,    UpperCamelCase_=2				,    UpperCamelCase_=[144, 192, 240]				,    UpperCamelCase_=[16, 32, 64, 96, 128, 160, 640]				,    UpperCamelCase_=4				,    UpperCamelCase_=2.0				,    UpperCamelCase_=4.0				,    UpperCamelCase_="silu"				,    UpperCamelCase_=3				,    UpperCamelCase_=32				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.0				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.02				,    UpperCamelCase_=1e-5				,    UpperCamelCase_=True				,    UpperCamelCase_=256				,    UpperCamelCase_=[6, 12, 18]				,    UpperCamelCase_=0.1				,    UpperCamelCase_=255				,    **UpperCamelCase_				,    )		->			str:
  								"""simple docstring"""
  
  
  
  
  
  
  								super().__init__(**UpperCamelCase_							)
  
  								a_       :   Optional[int]			=	num_channels
  								a_       :   Optional[Any]			=	image_size
  								a_       :   int			=	patch_size
  								a_       :   List[str]			=	hidden_sizes
  								a_       :   Optional[int]			=	neck_hidden_sizes
  								a_       :   List[Any]			=	num_attention_heads
  								a_       :   Union[str, Any]			=	mlp_ratio
  								a_       :   List[str]			=	expand_ratio
  								a_       :   str			=	hidden_act
  								a_       :   Union[str, Any]			=	conv_kernel_size
  								a_       :   Optional[Any]			=	output_stride
  								a_       :   Union[str, Any]			=	hidden_dropout_prob
  								a_       :   List[Any]			=	attention_probs_dropout_prob
  								a_       :   List[Any]			=	classifier_dropout_prob
  								a_       :   Union[str, Any]			=	initializer_range
  								a_       :   List[Any]			=	layer_norm_eps
  								a_       :   str			=	qkv_bias
  
  								# decode head attributes for semantic segmentation
  								a_       :   Optional[Any]			=	aspp_out_channels
  								a_       :   Any			=	atrous_rates
  								a_       :   Union[str, Any]			=	aspp_dropout_prob
  								a_       :   Any			=	semantic_loss_ignore_index
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  	UpperCAmelCase   :							Optional[int]         = version.parse("""1.11"""       )
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
  								"""simple docstring"""
  
  
  
  
  
  
  								return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]							)
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
  								"""simple docstring"""
  
  
  
  
  
  
  								if self.task == "image-classification":
  															return OrderedDict([("""logits""", {0: """batch"""})]							)
  								else:
  															return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]							)
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			float:
  								"""simple docstring"""
  
  
  
  
  
  
  								return 1e-4
  
  
  