
"""simple docstring"""
from __future__ import annotations

import unittest
from collections.abc import Iterator




class    _snake_case  :






							def __init__(					self						:			List[Any]						, snake_case__						:			int						, snake_case__						:			Node | None    ):






												"""simple docstring"""



												__a:						Tuple		    =					label
												__a:						Union[str, Any]		    =					parent
												__a:						Node | None		    =					None
												__a:						Node | None		    =					None






class    _snake_case  :






							def __init__(					self						:			str    ):






												"""simple docstring"""



												__a:						Node | None		    =					None






							def 							__lowercase  (					self						:			List[Any]    ):






												"""simple docstring"""



												__a:						Dict		    =					None






							def 							__lowercase  (					self						:			Any    ):






												"""simple docstring"""



												return self.root is None






							def 							__lowercase  (					self						:			Tuple						, snake_case__						:			int    ):






												"""simple docstring"""



												__a:						Tuple		    =					self._put(self.root						, snake_case__    )






							def 							__lowercase  (					self						:			List[str]						, snake_case__						:			Node | None						, snake_case__						:			int						, snake_case__						:			Node | None = None    ):






												"""simple docstring"""



												if node is None:
																	__a:						str		    =					Node(snake_case__						, snake_case__    )
												else:
																	if label < node.label:
																						__a:						List[str]		    =					self._put(node.left						, snake_case__						, snake_case__    )
																	elif label > node.label:
																						__a:						str		    =					self._put(node.right						, snake_case__						, snake_case__    )
																	else:
																						__a:						int		    =					f"""Node with label {label} already exists"""
																						raise Exception(snake_case__    )

												return node






							def 							__lowercase  (					self						:			List[Any]						, snake_case__						:			int    ):






												"""simple docstring"""



												return self._search(self.root						, snake_case__    )






							def 							__lowercase  (					self						:			Tuple						, snake_case__						:			Node | None						, snake_case__						:			int    ):






												"""simple docstring"""



												if node is None:
																	__a:						Dict		    =					f"""Node with label {label} does not exist"""
																	raise Exception(snake_case__    )
												else:
																	if label < node.label:
																						__a:						Union[str, Any]		    =					self._search(node.left						, snake_case__    )
																	elif label > node.label:
																						__a:						Optional[int]		    =					self._search(node.right						, snake_case__    )

												return node






							def 							__lowercase  (					self						:			Dict						, snake_case__						:			int    ):






												"""simple docstring"""



												__a:						str		    =					self.search(snake_case__    )
												if node.right and node.left:
																	__a:						Any		    =					self._get_lowest_node(node.right    )
																	__a:						List[Any]		    =					node.left
																	__a:						List[str]		    =					node.right
																	__a:						Union[str, Any]		    =					lowest_node
																	if node.right:
																						__a:						Dict		    =					lowest_node
																	self._reassign_nodes(snake_case__						, snake_case__    )
												elif not node.right and node.left:
																	self._reassign_nodes(snake_case__						, node.left    )
												elif node.right and not node.left:
																	self._reassign_nodes(snake_case__						, node.right    )
												else:
																	self._reassign_nodes(snake_case__						, snake_case__    )






							def 							__lowercase  (					self						:			Optional[int]						, snake_case__						:			Node						, snake_case__						:			Node | None    ):






												"""simple docstring"""



												if new_children:
																	__a:						Optional[Any]		    =					node.parent

												if node.parent:
																	if node.parent.right == node:
																						__a:						List[Any]		    =					new_children
																	else:
																						__a:						int		    =					new_children
												else:
																	__a:						str		    =					new_children






							def 							__lowercase  (					self						:			Tuple						, snake_case__						:			Node    ):






												"""simple docstring"""



												if node.left:
																	__a:						Tuple		    =					self._get_lowest_node(node.left    )
												else:
																	__a:						str		    =					node
																	self._reassign_nodes(snake_case__						, node.right    )

												return lowest_node






							def 							__lowercase  (					self						:			str						, snake_case__						:			int    ):






												"""simple docstring"""



												try:
																	self.search(snake_case__    )
																	return True
												except Exception:
																	return False






							def 							__lowercase  (					self						:			Optional[int]    ):






												"""simple docstring"""



												if self.root is None:
																	raise Exception("""Binary search tree is empty"""    )

												__a:						int		    =					self.root
												while node.right is not None:
																	__a:						List[Any]		    =					node.right

												return node.label






							def 							__lowercase  (					self						:			Optional[Any]    ):






												"""simple docstring"""



												if self.root is None:
																	raise Exception("""Binary search tree is empty"""    )

												__a:						List[str]		    =					self.root
												while node.left is not None:
																	__a:						List[Any]		    =					node.left

												return node.label






							def 							__lowercase  (					self						:			List[str]    ):






												"""simple docstring"""



												return self._inorder_traversal(self.root    )






							def 							__lowercase  (					self						:			Any						, snake_case__						:			Node | None    ):






												"""simple docstring"""



												if node is not None:
																	yield from self._inorder_traversal(node.left    )
																	yield node
																	yield from self._inorder_traversal(node.right    )






							def 							__lowercase  (					self						:			List[str]    ):






												"""simple docstring"""



												return self._preorder_traversal(self.root    )






							def 							__lowercase  (					self						:			Any						, snake_case__						:			Node | None    ):






												"""simple docstring"""



												if node is not None:
																	yield node
																	yield from self._preorder_traversal(node.left    )
																	yield from self._preorder_traversal(node.right    )






class    _snake_case  (						unittest.TestCase       ):






							@staticmethod
							def 							__lowercase  (					):






												"""simple docstring"""



												__a:						List[str]		    =					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    )

												return t






							def 							__lowercase  (					self						:			int    ):






												"""simple docstring"""



												__a:						Union[str, Any]		    =					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(1_0    )
												assert t.root.right is not None
												assert t.root.right.parent == t.root
												assert t.root.right.label == 1_0

												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(snake_case__    ):  # noqa: B017
																	t.put(1    )






							def 							__lowercase  (					self						:			Tuple    ):






												"""simple docstring"""



												__a:						Tuple		    =					self._get_binary_search_tree()

												__a:						Tuple		    =					t.search(6    )
												assert node.label == 6

												__a:						Tuple		    =					t.search(1_3    )
												assert node.label == 1_3

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






							def 							__lowercase  (					self						:			List[str]    ):






												"""simple docstring"""



												__a:						List[Any]		    =					self._get_binary_search_tree()

												t.remove(1_3    )
												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 							__lowercase  (					self						:			Optional[Any]    ):






												"""simple docstring"""



												__a:						Optional[int]		    =					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 							__lowercase  (					self						:			Optional[Any]    ):






												"""simple docstring"""



												__a:						Any		    =					self._get_binary_search_tree()
												t.empty()
												assert t.root is None






							def 							__lowercase  (					self						:			int    ):






												"""simple docstring"""



												__a:						List[str]		    =					self._get_binary_search_tree()
												assert not t.is_empty()

												t.empty()
												assert t.is_empty()






							def 							__lowercase  (					self						:			Optional[int]    ):






												"""simple docstring"""



												__a:						str		    =					self._get_binary_search_tree()

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






							def 							__lowercase  (					self						:			Optional[Any]    ):






												"""simple docstring"""



												__a:						Optional[Any]		    =					self._get_binary_search_tree()

												assert t.get_max_label() == 1_4

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






							def 							__lowercase  (					self						:			str    ):






												"""simple docstring"""



												__a:						List[str]		    =					self._get_binary_search_tree()

												assert t.get_min_label() == 1

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






							def 							__lowercase  (					self						:			Any    ):






												"""simple docstring"""



												__a:						Union[str, Any]		    =					self._get_binary_search_tree()

												__a:						Tuple		    =					[i.label for i in t.inorder_traversal()]
												assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 1_0, 1_3, 1_4]






							def 							__lowercase  (					self						:			Optional[Any]    ):






												"""simple docstring"""



												__a:						List[str]		    =					self._get_binary_search_tree()

												__a:						Optional[Any]		    =					[i.label for i in t.preorder_traversal()]
												assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 1_0, 1_4, 1_3]






def     lowerCamelCase_    (	)     ->			None:


					'''simple docstring'''
					__a:						List[Any]		    =					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 )

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

					print("""Label 6 exists:"""	,				t.exists(6 ) )
					print("""Label 13 exists:"""	,				t.exists(13 ) )
					print("""Label -1 exists:"""	,				t.exists(-1 ) )
					print("""Label 12 exists:"""	,				t.exists(12 ) )

					# Prints all the elements of the list in inorder traversal
					__a:						Union[str, Any]		    =					[i.label for i in t.inorder_traversal()]
					print("""Inorder traversal:"""	,				lowerCamelCase_ )

					# Prints all the elements of the list in preorder traversal
					__a:						Any		    =					[i.label for i in t.preorder_traversal()]
					print("""Preorder traversal:"""	,				lowerCamelCase_ )

					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(
					    """
          4
         / \\
        1   7
             \\
              5
        """ )
					t.remove(13 )
					t.remove(10 )
					t.remove(8 )
					t.remove(3 )
					t.remove(6 )
					t.remove(14 )

					# Prints all the elements of the list in inorder traversal after delete
					__a:						Union[str, Any]		    =					[i.label for i in t.inorder_traversal()]
					print("""Inorder traversal after delete:"""	,				lowerCamelCase_ )

					# Prints all the elements of the list in preorder traversal after delete
					__a:						List[str]		    =					[i.label for i in t.preorder_traversal()]
					print("""Preorder traversal after delete:"""	,				lowerCamelCase_ )

					print("""Max. label:"""	,				t.get_max_label() )
					print("""Min. label:"""	,				t.get_min_label() )


if __name__ == "__main__":
			binary_search_tree_example()


"""simple docstring"""
from typing import Dict, List, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import (
    IMAGENET_STANDARD_MEAN,
    IMAGENET_STANDARD_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, logging


lowercase		:						Tuple =					logging.get_logger(__name__)




class    _snake_case  (						_lowercase       ):
							SCREAMING_SNAKE_CASE		     =						['''pixel_values''']






							def __init__(					self						:			Union[str, Any]						, snake_case__						:			bool = True						, snake_case__						:			Optional[Dict[str, int]] = None						, snake_case__						:			PILImageResampling = PILImageResampling.BILINEAR						, snake_case__						:			bool = True						, snake_case__						:			Union[int, float] = 1 / 2_5_5						, snake_case__						:			bool = True						, snake_case__						:			Optional[Union[float, List[float]]] = None						, snake_case__						:			Optional[Union[float, List[float]]] = None						, **snake_case__						:			Optional[int]						, ):






												"""simple docstring"""



												super().__init__(**snake_case__    )
												__a:						Dict		    =					size if size is not None else {"""height""": 2_2_4, """width""": 2_2_4}
												__a:						Optional[Any]		    =					get_size_dict(snake_case__    )
												__a:						Union[str, Any]		    =					do_resize
												__a:						str		    =					do_rescale
												__a:						Tuple		    =					do_normalize
												__a:						Dict		    =					size
												__a:						str		    =					resample
												__a:						Any		    =					rescale_factor
												__a:						Optional[int]		    =					image_mean if image_mean is not None else IMAGENET_STANDARD_MEAN
												__a:						int		    =					image_std if image_std is not None else IMAGENET_STANDARD_STD






							def 							__lowercase  (					self						:			Optional[Any]						, snake_case__						:			np.ndarray						, snake_case__						:			Dict[str, int]						, snake_case__						:			PILImageResampling = PILImageResampling.BILINEAR						, snake_case__						:			Optional[Union[str, ChannelDimension]] = None						, **snake_case__						:			List[str]						, ):






												"""simple docstring"""



												__a:						int		    =					get_size_dict(snake_case__    )
												if "height" not in size or "width" not in size:
																	raise ValueError(f"""The `size` dictionary must contain the keys `height` and `width`. Got {size.keys()}"""    )
												return resize(
												    snake_case__						, size=(size["""height"""], size["""width"""])						, resample=snake_case__						, data_format=snake_case__						, **snake_case__    )






							def 							__lowercase  (					self						:			List[str]						, snake_case__						:			np.ndarray						, snake_case__						:			float						, snake_case__						:			Optional[Union[str, ChannelDimension]] = None						, **snake_case__						:			Union[str, Any]    ):






												"""simple docstring"""



												return rescale(snake_case__						, scale=snake_case__						, data_format=snake_case__						, **snake_case__    )






							def 							__lowercase  (					self						:			Dict						, snake_case__						:			np.ndarray						, snake_case__						:			Union[float, List[float]]						, snake_case__						:			Union[float, List[float]]						, snake_case__						:			Optional[Union[str, ChannelDimension]] = None						, **snake_case__						:			Union[str, Any]						, ):






												"""simple docstring"""



												return normalize(snake_case__						, mean=snake_case__						, std=snake_case__						, data_format=snake_case__						, **snake_case__    )






							def 							__lowercase  (					self						:			Optional[int]						, snake_case__						:			ImageInput						, snake_case__						:			Optional[bool] = None						, snake_case__						:			Dict[str, int] = None						, snake_case__						:			PILImageResampling = None						, snake_case__						:			Optional[bool] = None						, snake_case__						:			Optional[float] = None						, snake_case__						:			Optional[bool] = None						, snake_case__						:			Optional[Union[float, List[float]]] = None						, snake_case__						:			Optional[Union[float, List[float]]] = None						, snake_case__						:			Optional[Union[str, TensorType]] = None						, snake_case__						:			Union[str, ChannelDimension] = ChannelDimension.FIRST						, **snake_case__						:			List[str]						, ):






												"""simple docstring"""



												__a:						Any		    =					do_resize if do_resize is not None else self.do_resize
												__a:						Any		    =					do_rescale if do_rescale is not None else self.do_rescale
												__a:						int		    =					do_normalize if do_normalize is not None else self.do_normalize
												__a:						Any		    =					resample if resample is not None else self.resample
												__a:						Any		    =					rescale_factor if rescale_factor is not None else self.rescale_factor
												__a:						Dict		    =					image_mean if image_mean is not None else self.image_mean
												__a:						List[str]		    =					image_std if image_std is not None else self.image_std

												__a:						int		    =					size if size is not None else self.size
												__a:						Any		    =					get_size_dict(snake_case__    )

												__a:						List[str]		    =					make_list_of_images(snake_case__    )

												if not valid_images(snake_case__    ):
																	raise ValueError(
																	    """Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, """
																	    """torch.Tensor, tf.Tensor or jax.ndarray."""    )

												if do_resize and size is None:
																	raise ValueError("""Size must be specified if do_resize is True."""    )

												if do_rescale and rescale_factor is None:
																	raise ValueError("""Rescale factor must be specified if do_rescale is True."""    )

												# All transformations expect numpy arrays.
												__a:						str		    =					[to_numpy_array(snake_case__    ) for image in images]

												if do_resize:
																	__a:						Dict		    =					[self.resize(image=snake_case__						, size=snake_case__						, resample=snake_case__    ) for image in images]

												if do_rescale:
																	__a:						str		    =					[self.rescale(image=snake_case__						, scale=snake_case__    ) for image in images]

												if do_normalize:
																	__a:						Dict		    =					[self.normalize(image=snake_case__						, mean=snake_case__						, std=snake_case__    ) for image in images]

												__a:						int		    =					[to_channel_dimension_format(snake_case__						, snake_case__    ) for image in images]

												__a:						str		    =					{"""pixel_values""": images}
												return BatchFeature(data=snake_case__						, tensor_type=snake_case__    )
