

class 						__snake_case						:
       """simple docstring"""







       def __init__(		self			,   _UpperCamelCase      )			->       Optional[Any]:






              """simple docstring"""


              __snake_case					  =       val
              # Number of nodes in left subtree
              __snake_case					  =       0
              __snake_case					  =       None
              __snake_case					  =       None
              __snake_case					  =       None






       def  a		(		self			,   _UpperCamelCase      )			->       str:






              """simple docstring"""


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

              if self.val < other.val:
                     __snake_case					  =       self.right
                     __snake_case					  =       None
                     if self.right:
                            __snake_case					  =       other
                     __snake_case					  =       other
                     __snake_case					  =       self.left_tree_size * 2 + 1
                     return self
              else:
                     __snake_case					  =       other.right
                     __snake_case					  =       None
                     if other.right:
                            __snake_case					  =       self
                     __snake_case					  =       self
                     __snake_case					  =       other.left_tree_size * 2 + 1
                     return other






class 						__snake_case						:
       """simple docstring"""







       def __init__(		self			,   _UpperCamelCase=None			,   _UpperCamelCase=None			,   _UpperCamelCase=0      )			->       Tuple:






              """simple docstring"""


              __snake_case					  =       heap_size
              __snake_case					  =       bottom_root
              __snake_case					  =       min_node


       def  a		(		self			,   _UpperCamelCase      )			->       List[Any]:






              """simple docstring"""


              if other.size == 0:
                     return None
              if self.size == 0:
                     __snake_case					  =       other.size
                     __snake_case					  =       other.bottom_root
                     __snake_case					  =       other.min_node
                     return None
              # Update size
              __snake_case					  =       self.size + other.size

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

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

                            # Merging trees
                            __snake_case					  =       i.merge_trees(i.parent      )

                            # Updating links
                            __snake_case					  =       previous_node
                            __snake_case					  =       next_node
                            if previous_node:
                                   __snake_case					  =       i
                            if next_node:
                                   __snake_case					  =       i
                     else:
                            __snake_case					  =       i.parent
        # Updating self.bottom_root
              while i.left:
                     __snake_case					  =       i.left
              __snake_case					  =       i

              # Update other
              __snake_case					  =       self.size
              __snake_case					  =       self.bottom_root
              __snake_case					  =       self.min_node

              # Return the merged heap
              return self


       def  a		(		self			,   _UpperCamelCase      )			->       Optional[Any]:






              """simple docstring"""


              if self.size == 0:
                     __snake_case					  =       Node(_UpperCamelCase      )
                     __snake_case					  =       1
                     __snake_case					  =       self.bottom_root
              else:
                     # Create new node
                     __snake_case					  =       Node(_UpperCamelCase      )

                     # Update size
                     self.size += 1

                     # update min_node
                     if val < self.min_node.val:
                            __snake_case					  =       new_node
                     # Put new_node as a bottom_root in heap
                     __snake_case					  =       new_node
                     __snake_case					  =       self.bottom_root
                     __snake_case					  =       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
                            __snake_case					  =       self.bottom_root.parent.parent

                            # Merge
                            __snake_case					  =       self.bottom_root.merge_trees(self.bottom_root.parent      )

                            # Update Links
                            __snake_case					  =       next_node
                            __snake_case					  =       None
                            if next_node:
                                   __snake_case					  =       self.bottom_root


       def  a		(		self      )			->       Union[str, Any]:






              """simple docstring"""


              return self.min_node.val


       def  a		(		self      )			->       Optional[Any]:






              """simple docstring"""


              return self.size == 0


       def  a		(		self      )			->       Optional[int]:






              """simple docstring"""


              __snake_case					  =       self.min_node.val

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

                     # Update bottom root
                     __snake_case					  =       None

                     # Update min_node
                     __snake_case					  =       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
                     __snake_case					  =       self.bottom_root.parent
                     __snake_case					  =       None

                     # Update min_node
                     __snake_case					  =       self.bottom_root
                     __snake_case					  =       self.bottom_root.parent
                     while i:
                            if i.val < self.min_node.val:
                                   __snake_case					  =       i
                            __snake_case					  =       i.parent
                     return min_value
              # General case
              # Find the BinomialHeap of the right subtree of min_node
              __snake_case					  =       self.min_node.right
              __snake_case					  =       None
              __snake_case					  =       bottom_of_new
              __snake_case					  =       1

              # Size, min_node and bottom_root
              while bottom_of_new.left:
                     __snake_case					  =       size_of_new * 2 + 1
                     __snake_case					  =       bottom_of_new.left
                     if bottom_of_new.val < min_of_new.val:
                            __snake_case					  =       bottom_of_new
        # Corner case of single root on top left path
              if (not self.min_node.left) and (not self.min_node.parent):
                     __snake_case					  =       size_of_new
                     __snake_case					  =       bottom_of_new
                     __snake_case					  =       min_of_new
                     # print("Single root, multiple nodes case")
                     return min_value
              # Remaining cases
              # Construct heap of right subtree
              __snake_case					  =       BinomialHeap(
                  bottom_root=_UpperCamelCase			,   min_node=_UpperCamelCase			,   heap_size=_UpperCamelCase      )

              # Update size
              __snake_case					  =       self.size - 1 - size_of_new

              # Neighbour nodes
              __snake_case					  =       self.min_node.left
              __snake_case					  =       self.min_node.parent

              # Initialize new bottom_root and min_node
              __snake_case					  =       previous_node or next_node
              __snake_case					  =       next_node

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

                     # Update bottom_root and search for min_node below
                     __snake_case					  =       previous_node
                     __snake_case					  =       previous_node
                     while self.bottom_root.left:
                            __snake_case					  =       self.bottom_root.left
                            if self.bottom_root.val < self.min_node.val:
                                   __snake_case					  =       self.bottom_root
              if next_node:
                     __snake_case					  =       previous_node

                     # Search for new min_node above min_node
                     __snake_case					  =       next_node
                     while i:
                            if i.val < self.min_node.val:
                                   __snake_case					  =       i
                            __snake_case					  =       i.parent
        # Merge heaps
              self.merge_heaps(_UpperCamelCase      )

              return min_value


       def  a		(		self      )			->       Union[str, Any]:






              """simple docstring"""


              __snake_case					  =       self.bottom_root
              while top_root.parent:
                     __snake_case					  =       top_root.parent
              # preorder
              __snake_case					  =       []
              self.__traversal(_UpperCamelCase			,   _UpperCamelCase      )
              return heap_pre_order


       def  a		(		self			,   _UpperCamelCase			,   _UpperCamelCase			,   _UpperCamelCase=0      )			->       List[Any]:






              """simple docstring"""


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






       def __str__(		self      )			->       str:






              """simple docstring"""


              if self.is_empty():
                     return ""
              __snake_case					  =       self.pre_order()

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


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

    doctest.testmod()




import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCamelCase__		   =    {'''UserAgent''': UserAgent().random}
UpperCamelCase__		   =    '''https://www.mywaifulist.moe/random'''







def 	lowerCamelCase__			(   __A						:str  ,__A						:str		):


       """simple docstring"""




       __snake_case					  =       requests.get(__A  ,headers=__A		)
       with open(__A  ,"""wb"""		) as file:
              file.write(image.content		)







def 	lowerCamelCase__			(   ):


       """simple docstring"""




       __snake_case					  =       BeautifulSoup(requests.get(__A  ,headers=__A		).text  ,"""html.parser"""		)
       __snake_case					  =       soup.find("""meta"""  ,attrs={"""property""": """og:title"""}		).attrs["""content"""]
       __snake_case					  =       soup.find("""meta"""  ,attrs={"""property""": """og:image"""}		).attrs["""content"""]
       __snake_case					  =       soup.find("""p"""  ,id="""description"""		).get_text()
       __snake_case  ,						__snake_case					  =       os.path.splitext(os.path.basename(__A		)		)
       __snake_case					  =       title.strip().replace(""" """  ,"""_"""		)
       __snake_case					  =       F'{image_title}{image_extension}'
       save_image(__A  ,__A		)
       return (title, description, image_title)


if __name__ == "__main__":
    UpperCamelCase__   ,UpperCamelCase__   ,UpperCamelCase__		   =    random_anime_character()
    print(F'{title}\n\n{desc}\n\nImage saved : {image_title}')

