





'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase      :  Dict      							={'''configuration_levit''': ['''LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LevitConfig''', '''LevitOnnxConfig''']}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowerCAmelCase      :  List[str]      							=['''LevitFeatureExtractor''']
      lowerCAmelCase      :  str      							=['''LevitImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowerCAmelCase      :  List[Any]      							=[
          '''LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''LevitForImageClassification''',
          '''LevitForImageClassificationWithTeacher''',
          '''LevitModel''',
          '''LevitPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_levit import LevitFeatureExtractor
            from .image_processing_levit import LevitImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_levit import (
                LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                LevitForImageClassification,
                LevitForImageClassificationWithTeacher,
                LevitModel,
                LevitPreTrainedModel,
            )
else:
      import sys

      lowerCAmelCase      :  List[str]      							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)









'''simple docstring'''


class    a_     :





     def __init__(				self	:      str			,   lowercase	:      List[Any]		):





        """simple docstring"""




        lowercase_    :List[str]					    =				val
        # Number of nodes in left subtree
        lowercase_    :Optional[int]					    =				0
        lowercase_    :List[str]					    =				None
        lowercase_    :List[Any]					    =				None
        lowercase_    :Optional[Any]					    =				None







     def 							lowercase__   (				self	:      Union[str, Any]			,   lowercase	:      Dict		):





        """simple docstring"""




        assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

        if self.val < other.val:
           lowercase_    :List[Any]					    =				self.right
           lowercase_    :str					    =				None
           if self.right:
              lowercase_    :Optional[int]					    =				other
           lowercase_    :Optional[Any]					    =				other
           lowercase_    :str					    =				self.left_tree_size * 2 + 1
           return self
        else:
           lowercase_    :Any					    =				other.right
           lowercase_    :Any					    =				None
           if other.right:
              lowercase_    :List[Any]					    =				self
           lowercase_    :Union[str, Any]					    =				self
           lowercase_    :Optional[int]					    =				other.left_tree_size * 2 + 1
           return other







class    a_     :





     def __init__(				self	:      Optional[Any]			,   lowercase	:      Any=None			,   lowercase	:      Optional[Any]=None			,   lowercase	:      int=0		):





        """simple docstring"""




        lowercase_    :Optional[int]					    =				heap_size
        lowercase_    :List[str]					    =				bottom_root
        lowercase_    :Dict					    =				min_node





     def 							lowercase__   (				self	:      List[str]			,   lowercase	:      List[Any]		):





        """simple docstring"""




        if other.size == 0:
           return None
        if self.size == 0:
           lowercase_    :Dict					    =				other.size
           lowercase_    :int					    =				other.bottom_root
           lowercase_    :Tuple					    =				other.min_node
           return None
        # Update size
        lowercase_    :Optional[int]					    =				self.size + other.size

        # Update min.node
        if self.min_node.val > other.min_node.val:
           lowercase_    :int					    =				other.min_node
        # Merge

        # Order roots by left_subtree_size
        lowercase_    :Any					    =				[]
        lowercase_    ,							lowercase_    :List[str]					    =				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)		)
              lowercase_    :str					    =				i.parent
           else:
              combined_roots_list.append((j, False)		)
              lowercase_    :Dict					    =				j.parent
        # Insert links between them
        for i in range(len(lowercase		) - 1		):
           if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
              lowercase_    :Dict					    =				combined_roots_list[i + 1][0]
              lowercase_    :str					    =				combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
        lowercase_    :int					    =				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
              lowercase_    :List[Any]					    =				i.left
              lowercase_    :Any					    =				i.parent.parent

              # Merging trees
              lowercase_    :Any					    =				i.merge_trees(i.parent		)

              # Updating links
              lowercase_    :List[Any]					    =				previous_node
              lowercase_    :int					    =				next_node
              if previous_node:
                 lowercase_    :int					    =				i
              if next_node:
                 lowercase_    :str					    =				i
           else:
              lowercase_    :str					    =				i.parent
        # Updating self.bottom_root
        while i.left:
           lowercase_    :List[str]					    =				i.left
        lowercase_    :List[str]					    =				i

        # Update other
        lowercase_    :Any					    =				self.size
        lowercase_    :Optional[Any]					    =				self.bottom_root
        lowercase_    :int					    =				self.min_node

        # Return the merged heap
        return self





     def 							lowercase__   (				self	:      int			,   lowercase	:      List[Any]		):





        """simple docstring"""




        if self.size == 0:
           lowercase_    :Dict					    =				Node(lowercase		)
           lowercase_    :Optional[Any]					    =				1
           lowercase_    :Optional[Any]					    =				self.bottom_root
        else:
           # Create new node
           lowercase_    :Union[str, Any]					    =				Node(lowercase		)

           # Update size
           self.size += 1

           # update min_node
           if val < self.min_node.val:
              lowercase_    :Union[str, Any]					    =				new_node
           # Put new_node as a bottom_root in heap
           lowercase_    :int					    =				new_node
           lowercase_    :List[str]					    =				self.bottom_root
           lowercase_    :Any					    =				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
              lowercase_    :int					    =				self.bottom_root.parent.parent

              # Merge
              lowercase_    :Union[str, Any]					    =				self.bottom_root.merge_trees(self.bottom_root.parent		)

              # Update Links
              lowercase_    :Optional[Any]					    =				next_node
              lowercase_    :Any					    =				None
              if next_node:
                 lowercase_    :Union[str, Any]					    =				self.bottom_root





     def 							lowercase__   (				self	:      str		):





        """simple docstring"""




        return self.min_node.val





     def 							lowercase__   (				self	:      Optional[int]		):





        """simple docstring"""




        return self.size == 0





     def 							lowercase__   (				self	:      str		):





        """simple docstring"""




        lowercase_    :str					    =				self.min_node.val

        # Last element in heap corner case
        if self.size == 1:
           # Update size
           lowercase_    :Dict					    =				0

           # Update bottom root
           lowercase_    :int					    =				None

           # Update min_node
           lowercase_    :Tuple					    =				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
           lowercase_    :Optional[Any]					    =				self.bottom_root.parent
           lowercase_    :Tuple					    =				None

           # Update min_node
           lowercase_    :Dict					    =				self.bottom_root
           lowercase_    :List[str]					    =				self.bottom_root.parent
           while i:
              if i.val < self.min_node.val:
                 lowercase_    :Union[str, Any]					    =				i
              lowercase_    :Dict					    =				i.parent
           return min_value
        # General case
        # Find the BinomialHeap of the right subtree of min_node
        lowercase_    :List[str]					    =				self.min_node.right
        lowercase_    :Dict					    =				None
        lowercase_    :str					    =				bottom_of_new
        lowercase_    :Optional[int]					    =				1

        # Size, min_node and bottom_root
        while bottom_of_new.left:
           lowercase_    :List[Any]					    =				size_of_new * 2 + 1
           lowercase_    :Union[str, Any]					    =				bottom_of_new.left
           if bottom_of_new.val < min_of_new.val:
              lowercase_    :Optional[int]					    =				bottom_of_new
        # Corner case of single root on top left path
        if (not self.min_node.left) and (not self.min_node.parent):
           lowercase_    :Optional[int]					    =				size_of_new
           lowercase_    :Union[str, Any]					    =				bottom_of_new
           lowercase_    :Dict					    =				min_of_new
           # print("Single root, multiple nodes case")
           return min_value
        # Remaining cases
        # Construct heap of right subtree
        lowercase_    :Tuple					    =				BinomialHeap(
            bottom_root=lowercase			,   min_node=lowercase			,   heap_size=lowercase		)

        # Update size
        lowercase_    :Dict					    =				self.size - 1 - size_of_new

        # Neighbour nodes
        lowercase_    :Optional[Any]					    =				self.min_node.left
        lowercase_    :str					    =				self.min_node.parent

        # Initialize new bottom_root and min_node
        lowercase_    :int					    =				previous_node or next_node
        lowercase_    :Any					    =				next_node

        # Update links of previous_node and search below for new min_node and
        # bottom_root
        if previous_node:
           lowercase_    :int					    =				next_node

           # Update bottom_root and search for min_node below
           lowercase_    :str					    =				previous_node
           lowercase_    :List[Any]					    =				previous_node
           while self.bottom_root.left:
              lowercase_    :List[str]					    =				self.bottom_root.left
              if self.bottom_root.val < self.min_node.val:
                 lowercase_    :List[Any]					    =				self.bottom_root
        if next_node:
           lowercase_    :List[Any]					    =				previous_node

           # Search for new min_node above min_node
           lowercase_    :Dict					    =				next_node
           while i:
              if i.val < self.min_node.val:
                 lowercase_    :Optional[Any]					    =				i
              lowercase_    :str					    =				i.parent
        # Merge heaps
        self.merge_heaps(lowercase		)

        return min_value





     def 							lowercase__   (				self	:      Dict		):





        """simple docstring"""




        lowercase_    :Optional[Any]					    =				self.bottom_root
        while top_root.parent:
           lowercase_    :int					    =				top_root.parent
        # preorder
        lowercase_    :List[str]					    =				[]
        self.__traversal(lowercase			,   lowercase		)
        return heap_pre_order





     def 							lowercase__   (				self	:      Union[str, Any]			,   lowercase	:      List[Any]			,   lowercase	:      List[str]			,   lowercase	:      Dict=0		):





        """simple docstring"""




        if curr_node:
           preorder.append((curr_node.val, level)		)
           self.__traversal(curr_node.left			,   lowercase			,   level + 1		)
           self.__traversal(curr_node.right			,   lowercase			,   level + 1		)
        else:
           preorder.append(("#", level)		)







     def __str__(				self	:      Optional[int]		):





        """simple docstring"""




        if self.is_empty():
           return ""
        lowercase_    :int					    =				self.pre_order()

        return "\n".join(("-" * level + str(lowercase		)) for value, level in preorder_heap		)


# Unit Tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()


