from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class     lowerCAmelCase_     :
							UpperCAmelCase				   =     42
							UpperCAmelCase				   =     None
							UpperCAmelCase				   =     None




def 					_snake_case	(  ):
					_UpperCamelCase			     =     Node(1						)
					_UpperCamelCase			     =     Node(2						)
					_UpperCamelCase			     =     Node(3						)
					_UpperCamelCase			     =     Node(4						)
					_UpperCamelCase			     =     Node(5						)
					return tree
def 					_snake_case	(  __snake_case						):
					return [root.data, *preorder(root.left						), *preorder(root.right						)] if root else []
def 					_snake_case	(  __snake_case						):
					return postorder(root.left						) + postorder(root.right						) + [root.data] if root else []
def 					_snake_case	(  __snake_case						):
					return [*inorder(root.left						), root.data, *inorder(root.right						)] if root else []
def 					_snake_case	(  __snake_case						):
					return (max(height(root.left						)  ,     height(root.right						)						) + 1) if root else 0
def 					_snake_case	(  __snake_case						):
					_UpperCamelCase			     =     []

					if root is None:
										return output

					_UpperCamelCase			     =     deque([root]						)

					while process_queue:
										_UpperCamelCase			     =     process_queue.popleft()
										output.append(node.data						)

										if node.left:
															process_queue.append(node.left						)
										if node.right:
															process_queue.append(node.right						)
					return output
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					_UpperCamelCase			     =     []

					def populate_output(__snake_case  ,     __snake_case						) -> None:
										if not root:
															return
										if level == 1:
															output.append(root.data						)
										elif level > 1:
															populate_output(root.left  ,     level - 1						)
															populate_output(root.right  ,     level - 1						)

					populate_output(__snake_case  ,     __snake_case						)
					return output
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					_UpperCamelCase			     =     []

					def populate_output(__snake_case  ,     __snake_case						) -> None:
										if root is None:
															return
										if level == 1:
															output.append(root.data						)
										elif level > 1:
															populate_output(root.right  ,     level - 1						)
															populate_output(root.left  ,     level - 1						)

					populate_output(__snake_case  ,     __snake_case						)
					return output
def 					_snake_case	(  __snake_case						):
					if root is None:
										return []

					_UpperCamelCase			     =     []

					_UpperCamelCase			     =     0
					_UpperCamelCase			     =     height(__snake_case						)

					for h in range(1  ,     height_tree + 1						):
										if not flag:
															output.append(get_nodes_from_left_to_right(__snake_case  ,     __snake_case						)						)
															_UpperCamelCase			     =     1
										else:
															output.append(get_nodes_from_right_to_left(__snake_case  ,     __snake_case						)						)
															_UpperCamelCase			     =     0

					return output
def 					_snake_case	(  ):  # Main function for testing.
					_UpperCamelCase			     =     make_tree()
					print(f"""In-order Traversal: {inorder(__snake_case						)}"""						)
					print(f"""Pre-order Traversal: {preorder(__snake_case						)}"""						)
					print(f"""Post-order Traversal: {postorder(__snake_case						)}"""  ,     '''\n'''						)

					print(f"""Height of Tree: {height(__snake_case						)}"""  ,     '''\n'''						)

					print('''Complete Level Order Traversal: '''						)
					print(level_order(__snake_case						)  ,     '''\n'''						)

					print('''Level-wise order Traversal: '''						)

					for level in range(1  ,     height(__snake_case						) + 1						):
										print(f"""Level {level}:"""  ,     get_nodes_from_left_to_right(__snake_case  ,     level=__snake_case						)						)

					print('''\nZigZag order Traversal: '''						)
					print(zigzag(__snake_case						)						)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()

from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					return math.sqrt(sum(pow(a - b  ,     2						) for a, b in zip(__snake_case  ,     __snake_case						)						)						)
def 					_snake_case	(  __snake_case  ,     __snake_case						):

					if dataset.ndim != value_array.ndim:
										_UpperCamelCase			     =     (
										    '''Wrong input data\'s dimensions... '''
										    f"""dataset : {dataset.ndim}, value_array : {value_array.ndim}"""
										)
										raise ValueError(__snake_case						)

					try:
										if dataset.shape[1] != value_array.shape[1]:
															_UpperCamelCase			     =     (
															    '''Wrong input data\'s shape... '''
															    f"""dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}"""
															)
															raise ValueError(__snake_case						)
					except IndexError:
										if dataset.ndim != value_array.ndim:
															raise TypeError('''Wrong shape'''						)

					if dataset.dtype != value_array.dtype:
										_UpperCamelCase			     =     (
										    '''Input data have different datatype... '''
										    f"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
										)
										raise TypeError(__snake_case						)

					_UpperCamelCase			     =     []

					for value in value_array:
										_UpperCamelCase			     =     euclidean(__snake_case  ,     dataset[0]						)
										_UpperCamelCase			     =     dataset[0].tolist()

										for dataset_value in dataset[1:]:
															_UpperCamelCase			     =     euclidean(__snake_case  ,     __snake_case						)

															if dist > temp_dist:
																				_UpperCamelCase			     =     temp_dist
																				_UpperCamelCase			     =     dataset_value.tolist()

										answer.append([vector, dist]						)

					return answer
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					return np.dot(__snake_case  ,     __snake_case						) / (norm(__snake_case						) * norm(__snake_case						))


if __name__ == "__main__":
					import doctest

					doctest.testmod()
