





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_UpperCamelCase   :							str     =	"""
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 						_lowerCAmelCase(						unittest.TestCase		,   _a):

  """simple docstring"""







  def 		SCREAMING_SNAKE_CASE__	( self     )-> int:
     __A				 =       load_tool('''summarization'''     )
     self.tool.setup()
     __A				 =       load_tool('''summarization'''  ,    remote=UpperCAmelCase     )

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[str]:
     __A				 =       self.tool(UpperCAmelCase     )
     self.assertEqual(
         UpperCAmelCase  ,    '''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 		SCREAMING_SNAKE_CASE__	( self     )-> Dict:
     __A				 =       self.remote_tool(UpperCAmelCase     )
     self.assertEqual(
         UpperCAmelCase  ,    '''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 		SCREAMING_SNAKE_CASE__	( self     )-> Union[str, Any]:
     __A				 =       self.tool(text=UpperCAmelCase     )
     self.assertEqual(
         UpperCAmelCase  ,    '''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 		SCREAMING_SNAKE_CASE__	( self     )-> Optional[Any]:
     __A				 =       self.remote_tool(text=UpperCAmelCase     )
     self.assertEqual(
         UpperCAmelCase  ,    '''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.'''  ,    )








class 						_lowerCAmelCase:

  """simple docstring"""







  def __init__( self  ,    UpperCAmelCase     )-> List[Any]:
     __A				 =       val
     # Number of nodes in left subtree
     __A				 =       0
     __A				 =       None
     __A				 =       None
     __A				 =       None





  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> List[Any]:
     assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

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







class 						_lowerCAmelCase:

  """simple docstring"""







  def __init__( self  ,    UpperCAmelCase=None  ,    UpperCAmelCase=None  ,    UpperCAmelCase=0     )-> List[Any]:
     __A				 =       heap_size
     __A				 =       bottom_root
     __A				 =       min_node

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> Optional[int]:

     # Empty heaps corner cases
     if other.size == 0:
        return None
     if self.size == 0:
        __A				 =       other.size
        __A				 =       other.bottom_root
        __A				 =       other.min_node
        return None
     # Update size
     __A				 =       self.size + other.size

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

     # Order roots by left_subtree_size
     __A				 =       []
     __A ,						__A				 =       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				 =       i.parent
        else:
           combined_roots_list.append((j, False)     )
           __A				 =       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]:
           __A				 =       combined_roots_list[i + 1][0]
           __A				 =       combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
     __A				 =       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				 =       i.left
           __A				 =       i.parent.parent

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

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

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

     # Return the merged heap
     return self

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> Optional[Any]:
     if self.size == 0:
        __A				 =       Node(UpperCAmelCase     )
        __A				 =       1
        __A				 =       self.bottom_root
     else:
        # Create new node
        __A				 =       Node(UpperCAmelCase     )

        # Update size
        self.size += 1

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

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

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

  def 		SCREAMING_SNAKE_CASE__	( self     )-> int:
     return self.min_node.val

  def 		SCREAMING_SNAKE_CASE__	( self     )-> Tuple:
     return self.size == 0

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[Any]:
     __A				 =       self.min_node.val

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

        # Update bottom root
        __A				 =       None

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

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

     # Size, min_node and bottom_root
     while bottom_of_new.left:
        __A				 =       size_of_new * 2 + 1
        __A				 =       bottom_of_new.left
        if bottom_of_new.val < min_of_new.val:
           __A				 =       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				 =       size_of_new
        __A				 =       bottom_of_new
        __A				 =       min_of_new
        # print("Single root, multiple nodes case")
        return min_value
     # Remaining cases
     # Construct heap of right subtree
     __A				 =       BinomialHeap(
         bottom_root=UpperCAmelCase  ,    min_node=UpperCAmelCase  ,    heap_size=UpperCAmelCase     )

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

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

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

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

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

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

     return min_value

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[str]:
     __A				 =       self.bottom_root
     while top_root.parent:
        __A				 =       top_root.parent
     # preorder
     __A				 =       []
     self.__traversal(UpperCAmelCase  ,    UpperCAmelCase     )
     return heap_pre_order

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase  ,    UpperCAmelCase  ,    UpperCAmelCase=0     )-> Optional[Any]:
     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:
     if self.is_empty():
        return ""
     __A				 =       self.pre_order()

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


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

    doctest.testmod()

