

'''simple docstring'''

from __future__ import annotations

import unittest
from collections.abc import Iterator







class lowerCamelCase   :

				def __init__(       self,						lowercase_,						lowercase_ )    ->							None:
					snake_case							=					label
					snake_case							=					parent
					snake_case							=					None
					snake_case							=					None







class lowerCamelCase   :

				def __init__(       self )    ->							None:
					snake_case							=					None

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					None

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

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							None:
					snake_case							=					self._put(self.root,						lowercase_ )

				def 					_lowerCamelCase    (       self,						lowercase_,						lowercase_,						lowercase_ = None )    ->							Node:
					if node is None:
						snake_case							=					Node(lowercase_,						lowercase_ )
					else:
						if label < node.label:
							snake_case							=					self._put(node.left,						lowercase_,						lowercase_ )
						elif label > node.label:
							snake_case							=					self._put(node.right,						lowercase_,						lowercase_ )
						else:
							snake_case							=					F'''Node with label {label} already exists'''
							raise Exception(lowercase_ )

					return node

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Node:
					return self._search(self.root,						lowercase_ )

				def 					_lowerCamelCase    (       self,						lowercase_,						lowercase_ )    ->							Node:
					if node is None:
						snake_case							=					F'''Node with label {label} does not exist'''
						raise Exception(lowercase_ )
					else:
						if label < node.label:
							snake_case							=					self._search(node.left,						lowercase_ )
						elif label > node.label:
							snake_case							=					self._search(node.right,						lowercase_ )

					return node

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							None:
					snake_case							=					self.search(lowercase_ )
					if node.right and node.left:
						snake_case							=					self._get_lowest_node(node.right )
						snake_case							=					node.left
						snake_case							=					node.right
						snake_case							=					lowest_node
						if node.right:
							snake_case							=					lowest_node
						self._reassign_nodes(lowercase_,						lowercase_ )
					elif not node.right and node.left:
						self._reassign_nodes(lowercase_,						node.left )
					elif node.right and not node.left:
						self._reassign_nodes(lowercase_,						node.right )
					else:
						self._reassign_nodes(lowercase_,						lowercase_ )

				def 					_lowerCamelCase    (       self,						lowercase_,						lowercase_ )    ->							None:
					if new_children:
						snake_case							=					node.parent

					if node.parent:
						if node.parent.right == node:
							snake_case							=					new_children
						else:
							snake_case							=					new_children
					else:
						snake_case							=					new_children

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Node:
					if node.left:
						snake_case							=					self._get_lowest_node(node.left )
					else:
						snake_case							=					node
						self._reassign_nodes(lowercase_,						node.right )

					return lowest_node

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							bool:
					try:
						self.search(lowercase_ )
						return True
					except Exception:
						return False

				def 					_lowerCamelCase    (       self )    ->							int:
					if self.root is None:
						raise Exception('Binary search tree is empty' )

					snake_case							=					self.root
					while node.right is not None:
						snake_case							=					node.right

					return node.label

				def 					_lowerCamelCase    (       self )    ->							int:
					if self.root is None:
						raise Exception('Binary search tree is empty' )

					snake_case							=					self.root
					while node.left is not None:
						snake_case							=					node.left

					return node.label

				def 					_lowerCamelCase    (       self )    ->							Iterator[Node]:
					return self._inorder_traversal(self.root )

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Iterator[Node]:
					if node is not None:
						yield from self._inorder_traversal(node.left )
						yield node
						yield from self._inorder_traversal(node.right )

				def 					_lowerCamelCase    (       self )    ->							Iterator[Node]:
					return self._preorder_traversal(self.root )






				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Iterator[Node]:
					if node is not None:
						yield node
						yield from self._preorder_traversal(node.left )
						yield from self._preorder_traversal(node.right )







class lowerCamelCase   (    unittest.TestCase				):

				@staticmethod
				def 					_lowerCamelCase    (       )    ->							BinarySearchTree:
					snake_case							=					BinarySearchTree()
					t.put(8 )
					t.put(3 )
					t.put(6 )
					t.put(1 )
					t.put(10 )
					t.put(14 )
					t.put(13 )
					t.put(4 )
					t.put(7 )
					t.put(5 )

					return t

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					BinarySearchTree()
					assert t.is_empty()

					t.put(8 )
					assert t.root is not None
					assert t.root.parent is None
					assert t.root.label == 8

					t.put(10 )
					assert t.root.right is not None
					assert t.root.right.parent == t.root
					assert t.root.right.label == 10

					t.put(3 )
					assert t.root.left is not None
					assert t.root.left.parent == t.root
					assert t.root.left.label == 3

					t.put(6 )
					assert t.root.left.right is not None
					assert t.root.left.right.parent == t.root.left
					assert t.root.left.right.label == 6

					t.put(1 )
					assert t.root.left.left is not None
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.left.label == 1

					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.put(1 )

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					snake_case							=					t.search(6 )
					assert node.label == 6

					snake_case							=					t.search(13 )
					assert node.label == 13

					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.search(2 )

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					t.remove(13 )
					assert t.root is not None
					assert t.root.right is not None
					assert t.root.right.right is not None
					assert t.root.right.right.right is None
					assert t.root.right.right.left is None

					t.remove(7 )
					assert t.root.left is not None
					assert t.root.left.right is not None
					assert t.root.left.right.left is not None
					assert t.root.left.right.right is None
					assert t.root.left.right.left.label == 4

					t.remove(6 )
					assert t.root.left.left is not None
					assert t.root.left.right.right is not None
					assert t.root.left.left.label == 1
					assert t.root.left.right.label == 4
					assert t.root.left.right.right.label == 5
					assert t.root.left.right.left is None
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.right.parent == t.root.left

					t.remove(3 )
					assert t.root is not None
					assert t.root.left.label == 4
					assert t.root.left.right.label == 5
					assert t.root.left.left.label == 1
					assert t.root.left.parent == t.root
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.right.parent == t.root.left

					t.remove(4 )
					assert t.root.left is not None
					assert t.root.left.left is not None
					assert t.root.left.label == 5
					assert t.root.left.right is None
					assert t.root.left.left.label == 1
					assert t.root.left.parent == t.root
					assert t.root.left.left.parent == t.root.left

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					t.remove(3 )
					assert t.root is not None
					assert t.root.left is not None
					assert t.root.left.left is not None
					assert t.root.left.right is not None
					assert t.root.left.right.left is not None
					assert t.root.left.right.right is not None
					assert t.root.left.label == 4
					assert t.root.left.right.label == 6
					assert t.root.left.left.label == 1
					assert t.root.left.right.right.label == 7
					assert t.root.left.right.left.label == 5
					assert t.root.left.parent == t.root
					assert t.root.left.right.parent == t.root.left
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.right.left.parent == t.root.left.right

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()
					t.empty()
					assert t.root is None

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()
					assert not t.is_empty()

					t.empty()
					assert t.is_empty()

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					assert t.exists(6 )
					assert not t.exists(-1 )

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					assert t.get_max_label() == 14

					t.empty()
					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.get_max_label()

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					assert t.get_min_label() == 1

					t.empty()
					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.get_min_label()

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					snake_case							=					[i.label for i in t.inorder_traversal()]
					assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]






				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					snake_case							=					[i.label for i in t.preorder_traversal()]
					assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]

def      __magic_name__							(			)      ->		None:
	snake_case							=					BinarySearchTree()
	t.put(8				)
	t.put(3				)
	t.put(6				)
	t.put(1				)
	t.put(1_0				)
	t.put(1_4				)
	t.put(1_3				)
	t.put(4				)
	t.put(7				)
	t.put(5				)

	print(
	    '\n            8\n           / \\\n          3   10\n         / \\    \\\n        1   6    14\n           / \\   /\n          4   7 13\n           \\\n            5\n        '				)

	print('Label 6 exists:'       , t.exists(6				)				)
	print('Label 13 exists:'       , t.exists(1_3				)				)
	print('Label -1 exists:'       , t.exists(-1				)				)
	print('Label 12 exists:'       , t.exists(1_2				)				)

	# Prints all the elements of the list in inorder traversal
	snake_case							=					[i.label for i in t.inorder_traversal()]
	print('Inorder traversal:'       , A				)

	# Prints all the elements of the list in preorder traversal
	snake_case							=					[i.label for i in t.preorder_traversal()]
	print('Preorder traversal:'       , A				)

	print('Max. label:'       , t.get_max_label()				)
	print('Min. label:'       , t.get_min_label()				)

	# Delete elements
	print('\nDeleting elements 13, 10, 8, 3, 6, 14'				)
	print(
	    '\n          4\n         / \\\n        1   7\n             \\\n              5\n        '				)
	t.remove(1_3				)
	t.remove(1_0				)
	t.remove(8				)
	t.remove(3				)
	t.remove(6				)
	t.remove(1_4				)

	# Prints all the elements of the list in inorder traversal after delete
	snake_case							=					[i.label for i in t.inorder_traversal()]
	print('Inorder traversal after delete:'       , A				)

	# Prints all the elements of the list in preorder traversal after delete
	snake_case							=					[i.label for i in t.preorder_traversal()]
	print('Preorder traversal after delete:'       , A				)

	print('Max. label:'       , t.get_max_label()				)
	print('Min. label:'       , t.get_min_label()				)


if __name__ == "__main__":
						binary_search_tree_example()







'''simple docstring'''







import unittest

import numpy as np

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available

from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs


if is_torch_available():
							import torch

if is_vision_available():
							from PIL import Image

							from transformers import DeiTImageProcessor






class 					lowerCAmelCase__  (    unittest.TestCase	):






					def __init__(  self							,				__SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE=7							,				__SCREAMING_SNAKE_CASE=3							,				__SCREAMING_SNAKE_CASE=18							,				__SCREAMING_SNAKE_CASE=30							,				__SCREAMING_SNAKE_CASE=4_00							,				__SCREAMING_SNAKE_CASE=True							,				__SCREAMING_SNAKE_CASE=None							,				__SCREAMING_SNAKE_CASE=True							,				__SCREAMING_SNAKE_CASE=None							,				__SCREAMING_SNAKE_CASE=True							,				__SCREAMING_SNAKE_CASE=[0.5, 0.5, 0.5]							,				__SCREAMING_SNAKE_CASE=[0.5, 0.5, 0.5]							,				):


											"""simple docstring"""





											lowercase_      :	Union[str, Any]						=			size if size is not None else {'''height''': 20, '''width''': 20}
											lowercase_      :	List[Any]						=			crop_size if crop_size is not None else {'''height''': 18, '''width''': 18}

											lowercase_      :	List[str]						=			parent
											lowercase_      :	Optional[Any]						=			batch_size
											lowercase_      :	int						=			num_channels
											lowercase_      :	List[str]						=			image_size
											lowercase_      :	Optional[Any]						=			min_resolution
											lowercase_      :	Tuple						=			max_resolution
											lowercase_      :	Union[str, Any]						=			do_resize
											lowercase_      :	List[str]						=			size
											lowercase_      :	Tuple						=			do_center_crop
											lowercase_      :	Dict						=			crop_size
											lowercase_      :	int						=			do_normalize
											lowercase_      :	Optional[int]						=			image_mean
											lowercase_      :	List[str]						=			image_std






					def       _snake_case       (  self						):


											"""simple docstring"""





											return {
											    "do_resize": self.do_resize,
											    "size": self.size,
											    "do_center_crop": self.do_center_crop,
											    "crop_size": self.crop_size,
											    "do_normalize": self.do_normalize,
											    "image_mean": self.image_mean,
											    "image_std": self.image_std,
											}







@require_torch
@require_vision
class 					lowerCAmelCase__  (    lowerCamelCase_       ,		unittest.TestCase	):
					lowerCAmelCase_	  =	DeiTImageProcessor if is_vision_available() else None
					lowerCAmelCase_	  =	True






					def       _snake_case       (  self						):


											"""simple docstring"""





											lowercase_      :	List[str]						=			DeiTImageProcessingTester(self						)






					@property
					def       _snake_case       (  self						):


											"""simple docstring"""





											return self.image_processor_tester.prepare_image_processor_dict()






					def       _snake_case       (  self						):


											"""simple docstring"""





											lowercase_      :	str						=			self.image_processing_class(**self.image_processor_dict						)
											self.assertTrue(hasattr(__SCREAMING_SNAKE_CASE							,				'''do_resize'''						)						)
											self.assertTrue(hasattr(__SCREAMING_SNAKE_CASE							,				'''size'''						)						)
											self.assertTrue(hasattr(__SCREAMING_SNAKE_CASE							,				'''do_center_crop'''						)						)
											self.assertTrue(hasattr(__SCREAMING_SNAKE_CASE							,				'''center_crop'''						)						)
											self.assertTrue(hasattr(__SCREAMING_SNAKE_CASE							,				'''do_normalize'''						)						)
											self.assertTrue(hasattr(__SCREAMING_SNAKE_CASE							,				'''image_mean'''						)						)
											self.assertTrue(hasattr(__SCREAMING_SNAKE_CASE							,				'''image_std'''						)						)






					def       _snake_case       (  self						):


											"""simple docstring"""





											lowercase_      :	List[str]						=			self.image_processing_class.from_dict(self.image_processor_dict						)
											self.assertEqual(image_processor.size							,				{'''height''': 20, '''width''': 20}						)
											self.assertEqual(image_processor.crop_size							,				{'''height''': 18, '''width''': 18}						)

											lowercase_      :	List[str]						=			self.image_processing_class.from_dict(self.image_processor_dict							,				size=42							,				crop_size=84						)
											self.assertEqual(image_processor.size							,				{'''height''': 42, '''width''': 42}						)
											self.assertEqual(image_processor.crop_size							,				{'''height''': 84, '''width''': 84}						)






					def       _snake_case       (  self						):


											"""simple docstring"""





											pass






					def       _snake_case       (  self						):


											"""simple docstring"""





											lowercase_      :	Tuple						=			self.image_processing_class(**self.image_processor_dict						)
											# create random PIL images
											lowercase_      :	Optional[int]						=			prepare_image_inputs(self.image_processor_tester							,				equal_resolution=__SCREAMING_SNAKE_CASE						)
											for image in image_inputs:
																	self.assertIsInstance(__SCREAMING_SNAKE_CASE							,				Image.Image						)

											# Test not batched input
											lowercase_      :	List[Any]						=			image_processing(image_inputs[0]							,				return_tensors='''pt'''						).pixel_values
											self.assertEqual(
											    encoded_images.shape							,				(
											        1,
											        self.image_processor_tester.num_channels,
											        self.image_processor_tester.crop_size['''height'''],
											        self.image_processor_tester.crop_size['''width'''],
											    )							,				)

											# Test batched
											lowercase_      :	List[str]						=			image_processing(__SCREAMING_SNAKE_CASE							,				return_tensors='''pt'''						).pixel_values
											self.assertEqual(
											    encoded_images.shape							,				(
											        self.image_processor_tester.batch_size,
											        self.image_processor_tester.num_channels,
											        self.image_processor_tester.crop_size['''height'''],
											        self.image_processor_tester.crop_size['''width'''],
											    )							,				)






					def       _snake_case       (  self						):


											"""simple docstring"""





											lowercase_      :	List[Any]						=			self.image_processing_class(**self.image_processor_dict						)
											# create random numpy tensors
											lowercase_      :	Tuple						=			prepare_image_inputs(self.image_processor_tester							,				equal_resolution=__SCREAMING_SNAKE_CASE							,				numpify=__SCREAMING_SNAKE_CASE						)
											for image in image_inputs:
																	self.assertIsInstance(__SCREAMING_SNAKE_CASE							,				np.ndarray						)

											# Test not batched input
											lowercase_      :	Dict						=			image_processing(image_inputs[0]							,				return_tensors='''pt'''						).pixel_values
											self.assertEqual(
											    encoded_images.shape							,				(
											        1,
											        self.image_processor_tester.num_channels,
											        self.image_processor_tester.crop_size['''height'''],
											        self.image_processor_tester.crop_size['''width'''],
											    )							,				)

											# Test batched
											lowercase_      :	Union[str, Any]						=			image_processing(__SCREAMING_SNAKE_CASE							,				return_tensors='''pt'''						).pixel_values
											self.assertEqual(
											    encoded_images.shape							,				(
											        self.image_processor_tester.batch_size,
											        self.image_processor_tester.num_channels,
											        self.image_processor_tester.crop_size['''height'''],
											        self.image_processor_tester.crop_size['''width'''],
											    )							,				)






					def       _snake_case       (  self						):


											"""simple docstring"""





											lowercase_      :	List[str]						=			self.image_processing_class(**self.image_processor_dict						)
											# create random PyTorch tensors
											lowercase_      :	List[Any]						=			prepare_image_inputs(self.image_processor_tester							,				equal_resolution=__SCREAMING_SNAKE_CASE							,				torchify=__SCREAMING_SNAKE_CASE						)
											for image in image_inputs:
																	self.assertIsInstance(__SCREAMING_SNAKE_CASE							,				torch.Tensor						)

											# Test not batched input
											lowercase_      :	List[str]						=			image_processing(image_inputs[0]							,				return_tensors='''pt'''						).pixel_values
											self.assertEqual(
											    encoded_images.shape							,				(
											        1,
											        self.image_processor_tester.num_channels,
											        self.image_processor_tester.crop_size['''height'''],
											        self.image_processor_tester.crop_size['''width'''],
											    )							,				)

											# Test batched
											lowercase_      :	Optional[int]						=			image_processing(__SCREAMING_SNAKE_CASE							,				return_tensors='''pt'''						).pixel_values
											self.assertEqual(
											    encoded_images.shape							,				(
											        self.image_processor_tester.batch_size,
											        self.image_processor_tester.num_channels,
											        self.image_processor_tester.crop_size['''height'''],
											        self.image_processor_tester.crop_size['''width'''],
											    )							,				)



