




class 		A__				:






	def __init__(	self				,     lowerCamelCase						)      ->   None:




						"""simple docstring"""






						__magic_name__					:							int		   =							data
						__magic_name__					:							BinaryTreeNode | None		   =							None
						__magic_name__					:							BinaryTreeNode | None		   =							None







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->BinaryTreeNode | None:






					"""simple docstring"""






					if node is None:
										__magic_name__					:							Optional[int]		   =							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:
										__magic_name__					:							List[Any]		   =							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
										__magic_name__					:							List[Any]		   =							insert(node.right_child,	UpperCAmelCase       )
					return node







def  lowerCAmelCase  (	UpperCAmelCase       )  ->list[int]:  # if node is None,return






					"""simple docstring"""






					if node:
										__magic_name__					:							int		   =							inorder(node.left_child       )
										__magic_name__					:							Optional[int]		   =							[*inorder_array, node.data]
										__magic_name__					:							Union[str, Any]		   =							inorder_array + inorder(node.right_child       )
					else:
										__magic_name__					:							str		   =							[]
					return inorder_array







def  lowerCAmelCase  (	)  ->BinaryTreeNode | None:






					"""simple docstring"""






					__magic_name__					:							List[Any]		   =							insert(UpperCAmelCase,	15       )
					insert(UpperCAmelCase,	10       )
					insert(UpperCAmelCase,	25       )
					insert(UpperCAmelCase,	6       )
					insert(UpperCAmelCase,	14       )
					insert(UpperCAmelCase,	20       )
					insert(UpperCAmelCase,	60       )
					return root







def  lowerCAmelCase  (	)  ->None:






					"""simple docstring"""






					__magic_name__					:							Optional[Any]		   =							make_tree()
					print('''Printing values of binary search tree in Inorder Traversal.'''       )
					inorder(UpperCAmelCase       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()











"""simple docstring"""



import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference




@slow
@require_torch_gpu
class        lowerCAmelCase__       (  unittest.TestCase					):
   def 	__a				(						self	:     Optional[Any]				):


        '''simple docstring'''
        UpperCAmelCase__		:  int				=				"runwayml/stable-diffusion-v1-5"
        UpperCAmelCase__		:  Optional[Any]				=				TextToVideoZeroPipeline.from_pretrained(snake_case__				,       torch_dtype=torch.floataa				).to("cuda"				)
        UpperCAmelCase__		:  Any				=				DDIMScheduler.from_config(pipe.scheduler.config				)
        UpperCAmelCase__		:  Optional[Any]				=				torch.Generator(device="cuda"				).manual_seed(0				)

        UpperCAmelCase__		:  Any				=				"A bear is playing a guitar on Times Square"
        UpperCAmelCase__		:  Dict				=				pipe(prompt=snake_case__				,       generator=snake_case__				).images

        UpperCAmelCase__		:  List[Any]				=				load_pt(
            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt"				)

        assert_mean_pixel_difference(snake_case__				,       snake_case__				)


