'''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 center_crop, normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import (
    IMAGENET_DEFAULT_MEAN,
    IMAGENET_DEFAULT_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    get_image_size,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_vision_available, logging


if is_vision_available():
 import PIL


_A										= logging.get_logger(__name__)


class    UpperCAmelCase__	(							_snake_case      ):






   """simple docstring"""
   A				:							Any			     =     ['''pixel_values''']
   def __init__(self							,					_a = True							,					_a = None							,					_a = True							,					_a = None							,					_a = PILImageResampling.BICUBIC							,					_a = True							,					_a = 1 / 255							,					_a = True							,					_a = None							,					_a = None							,					**_a							,					)     ->  None:
        super().__init__(**_a					)
        lowercase_       :							List[str]  					=       crop_size if crop_size is not None else {'height': 256, 'width': 256}
        lowercase_       :							Tuple  					=       get_size_dict(_a							,					param_name='crop_size'					)
        lowercase_       :							int  					=       size if size is not None else {'height': 224, 'width': 224}
        lowercase_       :							Optional[Any]  					=       get_size_dict(_a					)

        lowercase_       :							int  					=       do_center_crop
        lowercase_       :							str  					=       crop_size
        lowercase_       :							Dict  					=       do_resize
        lowercase_       :							str  					=       size
        lowercase_       :							List[str]  					=       resample
        lowercase_       :							Optional[Any]  					=       do_rescale
        lowercase_       :							Dict  					=       rescale_factor
        lowercase_       :							List[str]  					=       do_normalize
        lowercase_       :							Any  					=       image_mean if image_mean is not None else IMAGENET_DEFAULT_MEAN
        lowercase_       :							Optional[Any]  					=       image_std if image_std is not None else IMAGENET_DEFAULT_STD
   def 		_lowerCamelCase			(self							,					_a							,					_a							,					_a = None							,					_a = None							,					**_a							,					)     ->  np.ndarray:
        lowercase_       :							Optional[Any]  					=       self.size if size is None else size
        lowercase_       :							Optional[Any]  					=       get_size_dict(_a					)
        lowercase_       :							Optional[int]  					=       get_size_dict(_a							,					param_name='crop_size'					)

        lowercase_					,lowercase_       :							Any  					=       get_image_size(_a					)
        lowercase_       :							Optional[int]  					=       min(_a							,					_a					)
        lowercase_       :							Any  					=       (size['height'] / crop_size['height']) * min_dim
        lowercase_       :							Union[str, Any]  					=       (size['width'] / crop_size['width']) * min_dim
        return center_crop(_a							,					size=(cropped_height, cropped_width)							,					data_format=_a							,					**_a					)
   def 		_lowerCamelCase			(self							,					_a							,					_a							,					_a = PIL.Image.BICUBIC							,					_a = None							,					**_a							,					)     ->  np.ndarray:
        lowercase_       :							int  					=       get_size_dict(_a					)
        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(
            _a							,					size=(size['height'], size['width'])							,					resample=_a							,					data_format=_a							,					**_a					)
   def 		_lowerCamelCase			(self							,					_a							,					_a							,					_a = None							,					**_a							,					)     ->  Optional[int]:
        return rescale(_a							,					scale=_a							,					data_format=_a							,					**_a					)
   def 		_lowerCamelCase			(self							,					_a							,					_a							,					_a							,					_a = None							,					**_a							,					)     ->  np.ndarray:
        return normalize(_a							,					mean=_a							,					std=_a							,					data_format=_a							,					**_a					)





   def 		_lowerCamelCase			(self							,					_a							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = None							,					_a = ChannelDimension.FIRST							,					**_a							,					)     ->  PIL.Image.Image:
        lowercase_       :							Dict  					=       do_center_crop if do_center_crop is not None else self.do_center_crop
        lowercase_       :							int  					=       crop_size if crop_size is not None else self.crop_size
        lowercase_       :							List[str]  					=       get_size_dict(_a							,					param_name='crop_size'					)
        lowercase_       :							Optional[int]  					=       do_resize if do_resize is not None else self.do_resize
        lowercase_       :							Union[str, Any]  					=       size if size is not None else self.size
        lowercase_       :							Optional[Any]  					=       get_size_dict(_a					)
        lowercase_       :							str  					=       resample if resample is not None else self.resample
        lowercase_       :							Optional[Any]  					=       do_rescale if do_rescale is not None else self.do_rescale
        lowercase_       :							Optional[Any]  					=       rescale_factor if rescale_factor is not None else self.rescale_factor
        lowercase_       :							Union[str, Any]  					=       do_normalize if do_normalize is not None else self.do_normalize
        lowercase_       :							Union[str, Any]  					=       image_mean if image_mean is not None else self.image_mean
        lowercase_       :							Optional[int]  					=       image_std if image_std is not None else self.image_std

        lowercase_       :							Union[str, Any]  					=       make_list_of_images(_a					)

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

        if do_center_crop and crop_size is None:
             raise ValueError('If `do_center_crop` is set to `True`, `crop_size` must be provided.'					)

        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.'					)

        if do_normalize and (image_mean is None or image_std is None):
             raise ValueError('Image mean and image standard deviation must be specified if do_normalize is True.'					)

        # All transformations expect numpy arrays.
        lowercase_       :							List[Any]  					=       [to_numpy_array(_a					) for image in images]

        if do_center_crop:
             lowercase_       :							Any  					=       [self.center_crop(_a							,					_a							,					size=_a					) for image in images]

        if do_resize:
             lowercase_       :							List[Any]  					=       [self.resize(image=_a							,					size=_a							,					resample=_a					) for image in images]

        if do_rescale:
             lowercase_       :							int  					=       [self.rescale(image=_a							,					scale=_a					) for image in images]

        if do_normalize:
             lowercase_       :							List[str]  					=       [self.normalize(image=_a							,					mean=_a							,					std=_a					) for image in images]

        lowercase_       :							Any  					=       [to_channel_dimension_format(_a							,					_a					) for image in images]

        lowercase_       :							Union[str, Any]  					=       {'pixel_values': images}
        return BatchFeature(data=_a							,					tensor_type=_a					)





'''simple docstring'''




from __future__ import annotations

import unittest
from collections.abc import Iterator


class    UpperCAmelCase__	:






   """simple docstring"""
   def __init__(self							,					_a							,					_a					)     ->  None:
        lowercase_       :							Union[str, Any]  					=       label
        lowercase_       :							List[str]  					=       parent
        lowercase_       :							Node | None  					=       None
        lowercase_       :							Node | None  					=       None



class    UpperCAmelCase__	:






   """simple docstring"""
   def __init__(self					)     ->  None:
        lowercase_       :							Node | None  					=       None
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							int  					=       None
   def 		_lowerCamelCase			(self					)     ->  bool:
        return self.root is None
   def 		_lowerCamelCase			(self							,					_a					)     ->  None:
        lowercase_       :							Any  					=       self._put(self.root							,					_a					)
   def 		_lowerCamelCase			(self							,					_a							,					_a							,					_a = None					)     ->  Node:
        if node is None:
             lowercase_       :							Union[str, Any]  					=       Node(_a							,					_a					)
        else:
             if label < node.label:
                  lowercase_       :							Optional[int]  					=       self._put(node.left							,					_a							,					_a					)
             elif label > node.label:
                  lowercase_       :							List[str]  					=       self._put(node.right							,					_a							,					_a					)
             else:
                  lowercase_       :							Optional[int]  					=       f'''Node with label {label} already exists'''
                  raise Exception(_a					)

        return node
   def 		_lowerCamelCase			(self							,					_a					)     ->  Node:
        return self._search(self.root							,					_a					)
   def 		_lowerCamelCase			(self							,					_a							,					_a					)     ->  Node:
        if node is None:
             lowercase_       :							Optional[int]  					=       f'''Node with label {label} does not exist'''
             raise Exception(_a					)
        else:
             if label < node.label:
                  lowercase_       :							int  					=       self._search(node.left							,					_a					)
             elif label > node.label:
                  lowercase_       :							str  					=       self._search(node.right							,					_a					)

        return node
   def 		_lowerCamelCase			(self							,					_a					)     ->  None:
        lowercase_       :							List[str]  					=       self.search(_a					)
        if node.right and node.left:
             lowercase_       :							int  					=       self._get_lowest_node(node.right					)
             lowercase_       :							Any  					=       node.left
             lowercase_       :							str  					=       node.right
             lowercase_       :							Any  					=       lowest_node
             if node.right:
                  lowercase_       :							Any  					=       lowest_node
             self._reassign_nodes(_a							,					_a					)
        elif not node.right and node.left:
             self._reassign_nodes(_a							,					node.left					)
        elif node.right and not node.left:
             self._reassign_nodes(_a							,					node.right					)
        else:
             self._reassign_nodes(_a							,					_a					)
   def 		_lowerCamelCase			(self							,					_a							,					_a					)     ->  None:
        if new_children:
             lowercase_       :							List[str]  					=       node.parent

        if node.parent:
             if node.parent.right == node:
                  lowercase_       :							str  					=       new_children
             else:
                  lowercase_       :							Tuple  					=       new_children
        else:
             lowercase_       :							Union[str, Any]  					=       new_children
   def 		_lowerCamelCase			(self							,					_a					)     ->  Node:
        if node.left:
             lowercase_       :							Optional[int]  					=       self._get_lowest_node(node.left					)
        else:
             lowercase_       :							str  					=       node
             self._reassign_nodes(_a							,					node.right					)

        return lowest_node
   def 		_lowerCamelCase			(self							,					_a					)     ->  bool:
        try:
             self.search(_a					)
             return True
        except Exception:
             return False
   def 		_lowerCamelCase			(self					)     ->  int:
        if self.root is None:
             raise Exception('Binary search tree is empty'					)

        lowercase_       :							Tuple  					=       self.root
        while node.right is not None:
             lowercase_       :							Union[str, Any]  					=       node.right

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

        lowercase_       :							Optional[Any]  					=       self.root
        while node.left is not None:
             lowercase_       :							Optional[int]  					=       node.left

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



class    UpperCAmelCase__	(							unittest.TestCase      ):






   """simple docstring"""
   @staticmethod
   def 		_lowerCamelCase			()     ->  BinarySearchTree:
        lowercase_       :							int  					=       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:
        lowercase_       :							List[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(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(_a					):  # noqa: B017
             t.put(1					)
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							List[Any]  					=       self._get_binary_search_tree()

        lowercase_       :							int  					=       t.search(6					)
        assert node.label == 6

        lowercase_       :							str  					=       t.search(13					)
        assert node.label == 13

        with self.assertRaises(_a					):  # noqa: B017
             t.search(2					)
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							Any  					=       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:
        lowercase_       :							Union[str, Any]  					=       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:
        lowercase_       :							Union[str, Any]  					=       self._get_binary_search_tree()
        t.empty()
        assert t.root is None
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							str  					=       self._get_binary_search_tree()
        assert not t.is_empty()

        t.empty()
        assert t.is_empty()
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							List[Any]  					=       self._get_binary_search_tree()

        assert t.exists(6					)
        assert not t.exists(-1					)
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							Dict  					=       self._get_binary_search_tree()

        assert t.get_max_label() == 14

        t.empty()
        with self.assertRaises(_a					):  # noqa: B017
             t.get_max_label()
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							Tuple  					=       self._get_binary_search_tree()

        assert t.get_min_label() == 1

        t.empty()
        with self.assertRaises(_a					):  # noqa: B017
             t.get_min_label()
   def 		_lowerCamelCase			(self					)     ->  None:
        lowercase_       :							Tuple  					=       self._get_binary_search_tree()

        lowercase_       :							List[str]  					=       [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:
        lowercase_       :							Tuple  					=       self._get_binary_search_tree()

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



def _UpperCamelCase (							):
     lowercase_       :							int  					=       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(
         '\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(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
     lowercase_       :							Optional[int]  					=       [i.label for i in t.inorder_traversal()]
     print('Inorder traversal:'	,							SCREAMING_SNAKE_CASE_				)

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

     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(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
     lowercase_       :							Dict  					=       [i.label for i in t.inorder_traversal()]
     print('Inorder traversal after delete:'	,							SCREAMING_SNAKE_CASE_				)

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

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


if __name__ == "__main__":
 binary_search_tree_example()




