





'''simple docstring'''

class        __lowerCAmelCase  :






       """simple docstring"""





       def __init__(							self     :	List[Any] ,				lowerCAmelCase__     :	int  )					->  None:

            '''simple docstring'''




            _UpperCamelCase    					= data
            _UpperCamelCase    					= None
            _UpperCamelCase    					= None







def       a__       (       lowercase      :  int,      lowercase      :  Optional[Any]   )	->	BinaryTreeNode | None:





     """simple docstring"""

     if node is None:
          _UpperCamelCase    					= BinaryTreeNode(lowercase   )
          return node

     # binary search tree is not empty,
     # so we will insert it into the tree
     # if new_value is less than value of data in node,
     #  add it to left subtree and proceed recursively
     if new_value < node.data:
          _UpperCamelCase    					= insert(node.left_child,      lowercase   )
     else:
          # if new_value is greater than value of data in node,
          #  add it to right subtree and proceed recursively
          _UpperCamelCase    					= insert(node.right_child,      lowercase   )
     return node







def       a__       (       lowercase      :  Optional[int]   )	->	list[int]:  # if node is None,return





     """simple docstring"""

     if node:
          _UpperCamelCase    					= inorder(node.left_child   )
          _UpperCamelCase    					= [*inorder_array, node.data]
          _UpperCamelCase    					= inorder_array + inorder(node.right_child   )
     else:
          _UpperCamelCase    					= []
     return inorder_array







def       a__       (       )	->	BinaryTreeNode | None:





     """simple docstring"""

     _UpperCamelCase    					= insert(lowercase,      15   )
     insert(lowercase,      10   )
     insert(lowercase,      25   )
     insert(lowercase,      6   )
     insert(lowercase,      14   )
     insert(lowercase,      20   )
     insert(lowercase,      60   )
     return root







def       a__       (       )	->	None:





     """simple docstring"""

     _UpperCamelCase    					= make_tree()
     print('''Printing values of binary search tree in Inorder Traversal.'''   )
     inorder(lowercase   )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()










'''simple docstring'''

import unittest
from dataclasses import dataclass
from typing import List, Union

import numpy as np
import PIL.Image

from diffusers.utils.outputs import BaseOutput
@dataclass
class        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  Union[List[PIL.Image.Image], np.ndarray]

class        __lowerCAmelCase  (					unittest.TestCase				):






       """simple docstring"""





       def snake_case__		(							self     :	Any  )					->  Any:

            '''simple docstring'''




            _UpperCamelCase       					= CustomOutput(images=np.random.rand(1 ,				3 ,				4 ,				4  )  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				np.ndarray  )
            assert outputs.images.shape == (1, 3, 4, 4)
            assert isinstance(outputs['''images'''] ,				np.ndarray  )
            assert outputs["images"].shape == (1, 3, 4, 4)
            assert isinstance(outputs[0] ,				np.ndarray  )
            assert outputs[0].shape == (1, 3, 4, 4)

            # test with a non-tensor attribute
            _UpperCamelCase       					= CustomOutput(images=[PIL.Image.new('''RGB''' ,				(4, 4)  )]  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				lowerCAmelCase__  )
            assert isinstance(outputs.images[0] ,				PIL.Image.Image  )
            assert isinstance(outputs['''images'''] ,				lowerCAmelCase__  )
            assert isinstance(outputs['''images'''][0] ,				PIL.Image.Image  )
            assert isinstance(outputs[0] ,				lowerCAmelCase__  )
            assert isinstance(outputs[0][0] ,				PIL.Image.Image  )







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

            '''simple docstring'''




            _UpperCamelCase       					= CustomOutput({'''images''': np.random.rand(1 ,				3 ,				4 ,				4  )}  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				np.ndarray  )
            assert outputs.images.shape == (1, 3, 4, 4)
            assert isinstance(outputs['''images'''] ,				np.ndarray  )
            assert outputs["images"].shape == (1, 3, 4, 4)
            assert isinstance(outputs[0] ,				np.ndarray  )
            assert outputs[0].shape == (1, 3, 4, 4)

            # test with a non-tensor attribute
            _UpperCamelCase       					= CustomOutput({'''images''': [PIL.Image.new('''RGB''' ,				(4, 4)  )]}  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				lowerCAmelCase__  )
            assert isinstance(outputs.images[0] ,				PIL.Image.Image  )
            assert isinstance(outputs['''images'''] ,				lowerCAmelCase__  )
            assert isinstance(outputs['''images'''][0] ,				PIL.Image.Image  )
            assert isinstance(outputs[0] ,				lowerCAmelCase__  )
            assert isinstance(outputs[0][0] ,				PIL.Image.Image  )



