'''simple docstring'''

from collections.abc import Iterable
from typing import Any



class       UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self     ,       __lowerCAmelCase = None			)  ->  int:
        lowercase__    :   Any						= value
        lowercase__    :   Node | None						= None  # Added in order to delete a node easier
        lowercase__    :   Node | None						= None
        lowercase__    :   Node | None						= None


       def __repr__(						self			)  ->  str:
        from pprint import pformat

        if self.left is None and self.right is None:
         return str(self.value			)
        return pformat({F"""{self.value}""": (self.left, self.right)}     ,       indent=1			)



class       UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self     ,       __lowerCAmelCase = None			)  ->  Union[str, Any]:
        lowercase__    :   Any						= root

       def __str__(						self			)  ->  str:
        return str(self.root			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  None:
        if new_children is not None:  # reset its kids
         lowercase__    :   Union[str, Any]						= node.parent
        if node.parent is not None:  # reset its parent
         if self.is_right(__lowerCAmelCase			):  # If it is the right children
          lowercase__    :   int						= new_children
         else:
          lowercase__    :   Any						= new_children
        else:
         lowercase__    :   Any						= new_children

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  bool:
        if node.parent and node.parent.right:
         return node == node.parent.right
        return False

       def _lowerCAmelCase(						self			)  ->  bool:
        return self.root is None

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  None:
        lowercase__    :   Union[str, Any]						= Node(__lowerCAmelCase			)  # create a new Node
        if self.empty():  # if Tree is empty
         lowercase__    :   Tuple						= new_node  # set its root
        else:  # Tree is not empty
         lowercase__    :   List[Any]						= self.root  # from root
         if parent_node is None:
          return
         while True:  # While we don't get to a leaf
          if value < parent_node.value:  # We go left
           if parent_node.left is None:
            lowercase__    :   Any						= new_node  # We insert the new node in a leaf
            break
           else:
            lowercase__    :   int						= parent_node.left
          else:
           if parent_node.right is None:
            lowercase__    :   Any						= new_node
            break
           else:
            lowercase__    :   Optional[int]						= parent_node.right
         lowercase__    :   Union[str, Any]						= parent_node

       def _lowerCAmelCase(						self     ,       *__lowerCAmelCase			)  ->  None:
        for value in values:
         self.__insert(__lowerCAmelCase			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Node | None:
        if self.empty():
         raise IndexError('''Warning: Tree is empty! please use another.'''			)
        else:
         lowercase__    :   Optional[int]						= self.root
         # use lazy evaluation here to avoid NoneType Attribute error
         while node is not None and node.value is not value:
          lowercase__    :   int						= node.left if value < node.value else node.right
         return node

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase = None			)  ->  Node | None:
        if node is None:
         if self.root is None:
          return None
         lowercase__    :   Tuple						= self.root

        if not self.empty():
         while node.right is not None:
          lowercase__    :   Union[str, Any]						= node.right
        return node

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase = None			)  ->  Node | None:
        if node is None:
         lowercase__    :   str						= self.root
        if self.root is None:
         return None
        if not self.empty():
         lowercase__    :   Optional[Any]						= self.root
         while node.left is not None:
          lowercase__    :   int						= node.left
        return node

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  None:
        lowercase__    :   Optional[int]						= self.search(__lowerCAmelCase			)  # Look for the node with that label
        if node is not None:
         if node.left is None and node.right is None:  # If it has no children
          self.__reassign_nodes(__lowerCAmelCase     ,       __lowerCAmelCase			)
         elif node.left is None:  # Has only right children
          self.__reassign_nodes(__lowerCAmelCase     ,       node.right			)
         elif node.right is None:  # Has only left children
          self.__reassign_nodes(__lowerCAmelCase     ,       node.left			)
         else:
          lowercase__    :   int						= self.get_max(
              node.left			)  # Gets the max value of the left branch
          self.remove(tmp_node.value			)  # type: ignore
          lowercase__    :   str						= (
              tmp_node.value  # type: ignore
          )  # Assigns the value to the node to delete and keep tree structure

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Iterable:
        if node is not None:
         yield node  # Preorder Traversal
         yield from self.preorder_traverse(node.left			)
         yield from self.preorder_traverse(node.right			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase=None			)  ->  Any:
        if traversal_function is None:
         return self.preorder_traverse(self.root			)
        else:
         return traversal_function(self.root			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  None:
        if node:
         self.inorder(__lowerCAmelCase     ,       node.left			)
         arr.append(node.value			)
         self.inorder(__lowerCAmelCase     ,       node.right			)


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  int:
        lowercase__    :   list[int]						= []
        self.inorder(__lowerCAmelCase     ,       __lowerCAmelCase			)  # append all values to list using inorder traversal
        return arr[k - 1]


def       __UpperCamelCase	(       UpperCAmelCase					):
 lowercase__    :   Any						= []
 if curr_node is not None:
  lowercase__    :   Any						= postorder(curr_node.left					) + postorder(curr_node.right					) + [curr_node]
 return node_list
def       __UpperCamelCase	(       ):
 lowercase__    :   Union[str, Any]						= (8, 3, 6, 1, 10, 14, 13, 4, 7)
 lowercase__    :   str						= BinarySearchTree()
 for i in testlist:
  t.insert(UpperCAmelCase					)

 # Prints all the elements of the list in order traversal
 print(UpperCAmelCase					)

 if t.search(6					) is not None:
  print('''The value 6 exists'''					)
 else:
  print('''The value 6 doesn\'t exist'''					)

 if t.search(-1					) is not None:
  print('''The value -1 exists'''					)
 else:
  print('''The value -1 doesn\'t exist'''					)

 if not t.empty():
  print('''Max Value: '''		,					t.get_max().value					)  # type: ignore
  print('''Min Value: '''		,					t.get_min().value					)  # type: ignore

 for i in testlist:
  t.remove(UpperCAmelCase					)
  print(UpperCAmelCase					)


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)


'''simple docstring'''

import unittest

from datasets import load_dataset

from transformers.pipelines import pipeline
from transformers.testing_utils import is_pipeline_test, nested_simplify, require_torch, slow



@is_pipeline_test
@require_torch
class       UpperCAmelCase  (						unittest.TestCase ):





       '''simple docstring'''



       @require_torch
       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   str						= pipeline(
            task='''zero-shot-audio-classification'''     ,       model='''hf-internal-testing/tiny-clap-htsat-unfused'''			)
        lowercase__    :   Optional[Any]						= load_dataset('''ashraq/esc50'''			)
        lowercase__    :   Tuple						= dataset['''train''']['''audio'''][-1]['''array''']
        lowercase__    :   Optional[Any]						= audio_classifier(__lowerCAmelCase     ,       candidate_labels=['''Sound of a dog''', '''Sound of vaccum cleaner''']			)
        self.assertEqual(
            nested_simplify(__lowerCAmelCase			)     ,       [{'''score''': 0.5_0_1, '''label''': '''Sound of a dog'''}, {'''score''': 0.4_9_9, '''label''': '''Sound of vaccum cleaner'''}]     ,       )

       @unittest.skip('''No models are available in TF'''			)
       def _lowerCAmelCase(						self			)  ->  str:
        pass

       @slow
       @require_torch
       def _lowerCAmelCase(						self			)  ->  Tuple:
        lowercase__    :   List[str]						= pipeline(
            task='''zero-shot-audio-classification'''     ,       model='''laion/clap-htsat-unfused'''     ,       )
        # This is an audio of a dog
        lowercase__    :   int						= load_dataset('''ashraq/esc50'''			)
        lowercase__    :   str						= dataset['''train''']['''audio'''][-1]['''array''']
        lowercase__    :   Any						= audio_classifier(__lowerCAmelCase     ,       candidate_labels=['''Sound of a dog''', '''Sound of vaccum cleaner''']			)

        self.assertEqual(
            nested_simplify(__lowerCAmelCase			)     ,       [
                {'''score''': 0.9_9_9, '''label''': '''Sound of a dog'''},
                {'''score''': 0.0_0_1, '''label''': '''Sound of vaccum cleaner'''},
            ]     ,       )

        lowercase__    :   Dict						= audio_classifier([audio] * 5     ,       candidate_labels=['''Sound of a dog''', '''Sound of vaccum cleaner''']			)
        self.assertEqual(
            nested_simplify(__lowerCAmelCase			)     ,       [
                [
                    {'''score''': 0.9_9_9, '''label''': '''Sound of a dog'''},
                    {'''score''': 0.0_0_1, '''label''': '''Sound of vaccum cleaner'''},
                ],
            ]
            * 5     ,       )
        lowercase__    :   Any						= audio_classifier(
            [audio] * 5     ,       candidate_labels=['''Sound of a dog''', '''Sound of vaccum cleaner''']     ,       batch_size=5			)
        self.assertEqual(
            nested_simplify(__lowerCAmelCase			)     ,       [
                [
                    {'''score''': 0.9_9_9, '''label''': '''Sound of a dog'''},
                    {'''score''': 0.0_0_1, '''label''': '''Sound of vaccum cleaner'''},
                ],
            ]
            * 5     ,       )


       @unittest.skip('''No models are available in TF'''			)
       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        pass

