




class       _UpperCamelCase   :
      def __init__(      self :int			,   lowerCamelCase :Optional[int]   )  ->      int:
       UpperCAmelCase__							=    val
       # Number of nodes in left subtree
       UpperCAmelCase__							=    0
       UpperCAmelCase__							=    None
       UpperCAmelCase__							=    None
       UpperCAmelCase__							=    None







      def 						UpperCAmelCase_    (      self :Tuple			,   lowerCamelCase :Union[str, Any]   )  ->      List[str]:
       assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

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



class       _UpperCamelCase   :
      def __init__(      self :Any			,   lowerCamelCase :List[str]=None			,   lowerCamelCase :str=None			,   lowerCamelCase :Tuple=0   )  ->      Optional[Any]:
       UpperCAmelCase__							=    heap_size
       UpperCAmelCase__							=    bottom_root
       UpperCAmelCase__							=    min_node
      def 						UpperCAmelCase_    (      self :Any			,   lowerCamelCase :int   )  ->      Optional[int]:

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

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

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

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

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

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

       # Return the merged heap
       return self
      def 						UpperCAmelCase_    (      self :Optional[Any]			,   lowerCamelCase :str   )  ->      List[Any]:
       if self.size == 0:
        UpperCAmelCase__							=    Node(lowerCamelCase   )
        UpperCAmelCase__							=    1
        UpperCAmelCase__							=    self.bottom_root
       else:
        # Create new node
        UpperCAmelCase__							=    Node(lowerCamelCase   )

        # Update size
        self.size += 1

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

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

         # Update Links
         UpperCAmelCase__							=    next_node
         UpperCAmelCase__							=    None
         if next_node:
          UpperCAmelCase__							=    self.bottom_root
      def 						UpperCAmelCase_    (      self :List[Any]   )  ->      int:
       return self.min_node.val
      def 						UpperCAmelCase_    (      self :Optional[int]   )  ->      Dict:
       return self.size == 0
      def 						UpperCAmelCase_    (      self :Tuple   )  ->      Tuple:
       UpperCAmelCase__							=    self.min_node.val

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

        # Update bottom root
        UpperCAmelCase__							=    None

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

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

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

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

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

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

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

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

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

       return min_value
      def 						UpperCAmelCase_    (      self :int   )  ->      Tuple:
       UpperCAmelCase__							=    self.bottom_root
       while top_root.parent:
        UpperCAmelCase__							=    top_root.parent
       # preorder
       UpperCAmelCase__							=    []
       self.__traversal(lowerCamelCase			,   lowerCamelCase   )
       return heap_pre_order
      def 						UpperCAmelCase_    (      self :Optional[Any]			,   lowerCamelCase :List[str]			,   lowerCamelCase :str			,   lowerCamelCase :int=0   )  ->      Dict:
       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 :Optional[Any]   )  ->      int:
       if self.is_empty():
        return ""
       UpperCAmelCase__							=    self.pre_order()

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


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

  doctest.testmod()











from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


_lowerCAmelCase    : Any		= [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

_lowerCAmelCase    : Dict		= get_logger(__name__)


_lowerCAmelCase    : Optional[Any]		= {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}



def     lowerCAmelCase		(		_lowerCAmelCase				: dict						):




 """simple docstring"""







 UpperCAmelCase__							=    task_template_dict.get("task"						)
 if task_name is None:
  logger.warning(F'''Couldn\'t find template for task \'{task_name}\'. Available templates: {list(_lowerCAmelCase						)}'''						)
  return None
 UpperCAmelCase__							=    NAMEaTEMPLATE.get(_lowerCAmelCase						)
 return template.from_dict(_lowerCAmelCase						)





