




'''simple docstring'''





class     a__ :







     def __init__(			self						,	A				)						->					None:



          '''simple docstring'''



          a											=   data
          a											=   None
          a											=   None







def       SCREAMING_SNAKE_CASE							(     __UpperCamelCase	,      __UpperCamelCase)    ->  Optional[int]:
     if node is None:
          a											=   BinaryTreeNode(UpperCamelCase__)
          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:
          a											=   insert(node.left_child	,      UpperCamelCase__)
     else:
          # if new_value is greater than value of data in node,
          #  add it to right subtree and proceed recursively
          a											=   insert(node.right_child	,      UpperCamelCase__)
     return node

def       SCREAMING_SNAKE_CASE							(     __UpperCamelCase)    ->  Optional[int]:  # if node is None,return
     if node:
          a											=   inorder(node.left_child)
          a											=   [*inorder_array, node.data]
          a											=   inorder_array + inorder(node.right_child)
     else:
          a											=   []
     return inorder_array

def       SCREAMING_SNAKE_CASE							(     )    ->  Tuple:
     a											=   insert(UpperCamelCase__	,      15)
     insert(UpperCamelCase__	,      10)
     insert(UpperCamelCase__	,      25)
     insert(UpperCamelCase__	,      6)
     insert(UpperCamelCase__	,      14)
     insert(UpperCamelCase__	,      20)
     insert(UpperCamelCase__	,      60)
     return root

def       SCREAMING_SNAKE_CASE							(     )    ->  List[Any]:
     # main function
     a											=   make_tree()
     print("Printing values of binary search tree in Inorder Traversal.")
     inorder(UpperCamelCase__)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()







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

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available




@dataclass
class     a__ (      UpperCamelCase__   ):
     a	:    Union[List[PIL.Image.Image], np.ndarray]


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
   from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
   from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline

