
class   __UpperCamelCase				:






     """simple docstring"""







     def __init__(							self    :    Tuple      ,		_A    :    Any				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Union[str, Any]			=						val
       # Number of nodes in left subtree
       __SCREAMING_SNAKE_CASE     :					Dict			=						0
       __SCREAMING_SNAKE_CASE     :					Dict			=						None
       __SCREAMING_SNAKE_CASE     :					Dict			=						None
       __SCREAMING_SNAKE_CASE     :					str			=						None




     def 				UpperCAmelCase__    (							self    :    List[str]      ,		_A    :    Tuple				):







       """simple docstring"""




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

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






class   __UpperCamelCase				:






     """simple docstring"""







     def __init__(							self    :    Optional[Any]      ,		_A    :    List[str]=None      ,		_A    :    Optional[Any]=None      ,		_A    :    Optional[Any]=0				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					int			=						heap_size
       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						bottom_root
       __SCREAMING_SNAKE_CASE     :					List[Any]			=						min_node



     def 				UpperCAmelCase__    (							self    :    Optional[int]      ,		_A    :    str				):







       """simple docstring"""




       if other.size == 0:
         return None
       if self.size == 0:
         __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						other.size
         __SCREAMING_SNAKE_CASE     :					Any			=						other.bottom_root
         __SCREAMING_SNAKE_CASE     :					str			=						other.min_node
         return None
       # Update size
       __SCREAMING_SNAKE_CASE     :					Dict			=						self.size + other.size

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

       # Order roots by left_subtree_size
       __SCREAMING_SNAKE_CASE     :					Optional[int]			=						[]
       __SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE     :					Union[str, Any]			=						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)				)
           __SCREAMING_SNAKE_CASE     :					Optional[int]			=						i.parent
         else:
           combined_roots_list.append((j, False)				)
           __SCREAMING_SNAKE_CASE     :					Tuple			=						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]:
           __SCREAMING_SNAKE_CASE     :					int			=						combined_roots_list[i + 1][0]
           __SCREAMING_SNAKE_CASE     :					List[str]			=						combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						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
           __SCREAMING_SNAKE_CASE     :					Dict			=						i.left
           __SCREAMING_SNAKE_CASE     :					str			=						i.parent.parent

           # Merging trees
           __SCREAMING_SNAKE_CASE     :					Tuple			=						i.merge_trees(i.parent				)

           # Updating links
           __SCREAMING_SNAKE_CASE     :					Optional[int]			=						previous_node
           __SCREAMING_SNAKE_CASE     :					List[Any]			=						next_node
           if previous_node:
             __SCREAMING_SNAKE_CASE     :					Tuple			=						i
           if next_node:
             __SCREAMING_SNAKE_CASE     :					Dict			=						i
         else:
           __SCREAMING_SNAKE_CASE     :					Dict			=						i.parent
        # Updating self.bottom_root
       while i.left:
         __SCREAMING_SNAKE_CASE     :					Dict			=						i.left
       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						i

       # Update other
       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						self.size
       __SCREAMING_SNAKE_CASE     :					str			=						self.bottom_root
       __SCREAMING_SNAKE_CASE     :					List[str]			=						self.min_node

       # Return the merged heap
       return self



     def 				UpperCAmelCase__    (							self    :    Union[str, Any]      ,		_A    :    List[Any]				):







       """simple docstring"""




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

         # Update size
         self.size += 1

         # update min_node
         if val < self.min_node.val:
           __SCREAMING_SNAKE_CASE     :					int			=						new_node
         # Put new_node as a bottom_root in heap
         __SCREAMING_SNAKE_CASE     :					Tuple			=						new_node
         __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						self.bottom_root
         __SCREAMING_SNAKE_CASE     :					Tuple			=						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
           __SCREAMING_SNAKE_CASE     :					Optional[int]			=						self.bottom_root.parent.parent

           # Merge
           __SCREAMING_SNAKE_CASE     :					str			=						self.bottom_root.merge_trees(self.bottom_root.parent				)

           # Update Links
           __SCREAMING_SNAKE_CASE     :					Tuple			=						next_node
           __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						None
           if next_node:
             __SCREAMING_SNAKE_CASE     :					Any			=						self.bottom_root



     def 				UpperCAmelCase__    (							self    :    Optional[int]				):







       """simple docstring"""




       return self.min_node.val



     def 				UpperCAmelCase__    (							self    :    Optional[int]				):







       """simple docstring"""




       return self.size == 0



     def 				UpperCAmelCase__    (							self    :    Optional[int]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Tuple			=						self.min_node.val

       # Last element in heap corner case
       if self.size == 1:
         # Update size
         __SCREAMING_SNAKE_CASE     :					Union[str, Any]			=						0

         # Update bottom root
         __SCREAMING_SNAKE_CASE     :					List[str]			=						None

         # Update min_node
         __SCREAMING_SNAKE_CASE     :					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
         __SCREAMING_SNAKE_CASE     :					int			=						self.bottom_root.parent
         __SCREAMING_SNAKE_CASE     :					Dict			=						None

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

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

       # Update size
       __SCREAMING_SNAKE_CASE     :					List[Any]			=						self.size - 1 - size_of_new

       # Neighbour nodes
       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						self.min_node.left
       __SCREAMING_SNAKE_CASE     :					Dict			=						self.min_node.parent

       # Initialize new bottom_root and min_node
       __SCREAMING_SNAKE_CASE     :					Dict			=						previous_node or next_node
       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						next_node

       # Update links of previous_node and search below for new min_node and
       # bottom_root
       if previous_node:
         __SCREAMING_SNAKE_CASE     :					List[str]			=						next_node

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

         # Search for new min_node above min_node
         __SCREAMING_SNAKE_CASE     :					Any			=						next_node
         while i:
           if i.val < self.min_node.val:
             __SCREAMING_SNAKE_CASE     :					List[str]			=						i
           __SCREAMING_SNAKE_CASE     :					List[str]			=						i.parent
        # Merge heaps
       self.merge_heaps(_UpperCAmelCase				)

       return min_value



     def 				UpperCAmelCase__    (							self    :    Optional[Any]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Union[str, Any]			=						self.bottom_root
       while top_root.parent:
         __SCREAMING_SNAKE_CASE     :					int			=						top_root.parent
       # preorder
       __SCREAMING_SNAKE_CASE     :					str			=						[]
       self.__traversal(_UpperCAmelCase      ,		_UpperCAmelCase				)
       return heap_pre_order



     def 				UpperCAmelCase__    (							self    :    Tuple      ,		_A    :    List[Any]      ,		_A    :    Any      ,		_A    :    Tuple=0				):







       """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    :    Optional[int]				):







       """simple docstring"""




       if self.is_empty():
         return ""
       __SCREAMING_SNAKE_CASE     :					Dict			=						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 unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


lowercase_											=	"""
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""





class   __UpperCamelCase				(    unittest.TestCase				,		lowerCAmelCase__   ):






     """simple docstring"""







     def 				UpperCAmelCase__    (							self    :    Optional[Any]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					int			=						load_tool('''summarization'''				)
       self.tool.setup()
       __SCREAMING_SNAKE_CASE     :					Any			=						load_tool('''summarization'''      ,		remote=_A				)



     def 				UpperCAmelCase__    (							self    :    Tuple				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Dict			=						self.tool(_A				)
       self.assertEqual(
           _A      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)



     def 				UpperCAmelCase__    (							self    :    List[str]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						self.remote_tool(_A				)
       self.assertEqual(
           _A      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)



     def 				UpperCAmelCase__    (							self    :    List[str]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Dict			=						self.tool(text=_A				)
       self.assertEqual(
           _A      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)




     def 				UpperCAmelCase__    (							self    :    Optional[int]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					str			=						self.remote_tool(text=_A				)
       self.assertEqual(
           _A      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)
