

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 convert_to_rgb, normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import (
    OPENAI_CLIP_MEAN,
    OPENAI_CLIP_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    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							(							__A   ):
			'''simple docstring'''







			lowerCamelCase__           =['pixel_values']
			def __init__(			self							: List[str]      ,      a							: bool = True      ,      a							: Dict[str, int] = None      ,      a							: PILImageResampling = PILImageResampling.BICUBIC      ,      a							: bool = True      ,      a							: Union[int, float] = 1 / 255      ,      a							: bool = True      ,      a							: Optional[Union[float, List[float]]] = None      ,      a							: Optional[Union[float, List[float]]] = None      ,      a							: bool = True      ,      **a							: Union[str, Any]      ,      )							->       None:

				"""simple docstring"""

				super().__init__(**_UpperCAmelCase	)
				SCREAMING_SNAKE_CASE   :      List[Any]				     =       size if size is not None else {"height": 384, "width": 384}
				SCREAMING_SNAKE_CASE   :      Any				     =       get_size_dict(_UpperCAmelCase      ,      default_to_square=_UpperCAmelCase	)

				SCREAMING_SNAKE_CASE   :      List[str]				     =       do_resize
				SCREAMING_SNAKE_CASE   :      int				     =       size
				SCREAMING_SNAKE_CASE   :      Any				     =       resample
				SCREAMING_SNAKE_CASE   :      Dict				     =       do_rescale
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       rescale_factor
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       do_normalize
				SCREAMING_SNAKE_CASE   :      List[str]				     =       image_mean if image_mean is not None else OPENAI_CLIP_MEAN
				SCREAMING_SNAKE_CASE   :      List[Any]				     =       image_std if image_std is not None else OPENAI_CLIP_STD
				SCREAMING_SNAKE_CASE   :      str				     =       do_convert_rgb
			def 							__UpperCamelCase (			self							: Dict      ,      a							: np.ndarray      ,      a							: Dict[str, int]      ,      a							: PILImageResampling = PILImageResampling.BICUBIC      ,      a							: Optional[Union[str, ChannelDimension]] = None      ,      **a							: List[Any]      ,      )							->       np.ndarray:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      int				     =       get_size_dict(_UpperCAmelCase      ,      default_to_square=_UpperCAmelCase	)
				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()}"	)
				SCREAMING_SNAKE_CASE   :      int				     =       (size["height"], size["width"])
				return resize(_UpperCAmelCase      ,      size=_UpperCAmelCase      ,      resample=_UpperCAmelCase      ,      data_format=_UpperCAmelCase      ,      **_UpperCAmelCase	)
			def 							__UpperCamelCase (			self							: Union[str, Any]      ,      a							: np.ndarray      ,      a							: Union[int, float]      ,      a							: Optional[Union[str, ChannelDimension]] = None      ,      **a							: Optional[int]      ,      )							->       Union[str, Any]:

				"""simple docstring"""

				return rescale(_UpperCAmelCase      ,      scale=_UpperCAmelCase      ,      data_format=_UpperCAmelCase      ,      **_UpperCAmelCase	)
			def 							__UpperCamelCase (			self							: List[Any]      ,      a							: np.ndarray      ,      a							: Union[float, List[float]]      ,      a							: Union[float, List[float]]      ,      a							: Optional[Union[str, ChannelDimension]] = None      ,      **a							: Dict      ,      )							->       np.ndarray:

				"""simple docstring"""

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






			def 							__UpperCamelCase (			self							: Any      ,      a							: ImageInput      ,      a							: Optional[bool] = None      ,      a							: Optional[Dict[str, int]] = None      ,      a							: PILImageResampling = None      ,      a							: Optional[bool] = None      ,      a							: Optional[float] = None      ,      a							: Optional[bool] = None      ,      a							: Optional[Union[float, List[float]]] = None      ,      a							: Optional[Union[float, List[float]]] = None      ,      a							: Optional[Union[str, TensorType]] = None      ,      a							: bool = None      ,      a							: ChannelDimension = ChannelDimension.FIRST      ,      **a							: int      ,      )							->       PIL.Image.Image:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       do_resize if do_resize is not None else self.do_resize
				SCREAMING_SNAKE_CASE   :      str				     =       resample if resample is not None else self.resample
				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       do_rescale if do_rescale is not None else self.do_rescale
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       rescale_factor if rescale_factor is not None else self.rescale_factor
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       do_normalize if do_normalize is not None else self.do_normalize
				SCREAMING_SNAKE_CASE   :      List[Any]				     =       image_mean if image_mean is not None else self.image_mean
				SCREAMING_SNAKE_CASE   :      int				     =       image_std if image_std is not None else self.image_std
				SCREAMING_SNAKE_CASE   :      int				     =       do_convert_rgb if do_convert_rgb is not None else self.do_convert_rgb

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       size if size is not None else self.size
				SCREAMING_SNAKE_CASE   :      List[str]				     =       get_size_dict(_UpperCAmelCase      ,      default_to_square=_UpperCAmelCase	)

				SCREAMING_SNAKE_CASE   :      List[Any]				     =       make_list_of_images(_UpperCAmelCase	)

				if not valid_images(_UpperCAmelCase	):
					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 or resample is None:
					raise ValueError("Size and resample 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 std must be specified if do_normalize is True."	)

				# PIL RGBA images are converted to RGB
				if do_convert_rgb:
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       [convert_to_rgb(_UpperCAmelCase	) for image in images]

				# All transformations expect numpy arrays.
				SCREAMING_SNAKE_CASE   :      List[str]				     =       [to_numpy_array(_UpperCAmelCase	) for image in images]

				if do_resize:
					SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       [self.resize(image=_UpperCAmelCase      ,      size=_UpperCAmelCase      ,      resample=_UpperCAmelCase	) for image in images]

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

				if do_normalize:
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       [self.normalize(image=_UpperCAmelCase      ,      mean=_UpperCAmelCase      ,      std=_UpperCAmelCase	) for image in images]

				SCREAMING_SNAKE_CASE   :      List[Any]				     =       [to_channel_dimension_format(_UpperCAmelCase      ,      _UpperCAmelCase	) for image in images]

				SCREAMING_SNAKE_CASE   :      List[Any]				     =       BatchFeature(data={"pixel_values": images}      ,      tensor_type=_UpperCAmelCase	)

				return encoded_outputs





from collections.abc import Iterable
from typing import Any






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Tuple      ,      a							: int | None = None	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Any				     =       value
				SCREAMING_SNAKE_CASE   :      Node | None				     =       None  # Added in order to delete a node easier
				SCREAMING_SNAKE_CASE   :      Node | None				     =       None
				SCREAMING_SNAKE_CASE   :      Node | None				     =       None






			def __repr__(			self							: Optional[Any]	)							->       str:

				"""simple docstring"""

				from pprint import pformat

				if self.left is None and self.right is None:
					return str(self.value	)
				return pformat({F"{self.value}": (self.left, self.right)}      ,      indent=1	)






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Optional[int]      ,      a							: Node | None = None	)							->       Union[str, Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      List[str]				     =       root
			def __str__(			self							: Any	)							->       str:

				"""simple docstring"""

				return str(self.root	)
			def 							__UpperCamelCase (			self							: List[str]      ,      a							: Node      ,      a							: Node | None	)							->       None:

				"""simple docstring"""

				if new_children is not None:  # reset its kids
					SCREAMING_SNAKE_CASE   :      Dict				     =       node.parent
				if node.parent is not None:  # reset its parent
					if self.is_right(a	):  # If it is the right children
						SCREAMING_SNAKE_CASE   :      Dict				     =       new_children
					else:
						SCREAMING_SNAKE_CASE   :      Any				     =       new_children
				else:
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       new_children
			def 							__UpperCamelCase (			self							: Optional[Any]      ,      a							: Node	)							->       bool:

				"""simple docstring"""

				if node.parent and node.parent.right:
					return node == node.parent.right
				return False
			def 							__UpperCamelCase (			self							: Union[str, Any]	)							->       bool:

				"""simple docstring"""

				return self.root is None
			def 							__UpperCamelCase (			self							: List[str]      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       Node(a	)  # create a new Node
				if self.empty():  # if Tree is empty
					SCREAMING_SNAKE_CASE   :      Tuple				     =       new_node  # set its root
				else:  # Tree is not empty
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       self.root  # from root
					if parent_node is None:
						return
					while True:  # While we don't get to a leaf
						if value < parent_node.value:  # We go left
							if parent_node.left is None:
								SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       new_node  # We insert the new node in a leaf
								break
							else:
								SCREAMING_SNAKE_CASE   :      Any				     =       parent_node.left
						else:
							if parent_node.right is None:
								SCREAMING_SNAKE_CASE   :      str				     =       new_node
								break
							else:
								SCREAMING_SNAKE_CASE   :      Optional[int]				     =       parent_node.right
					SCREAMING_SNAKE_CASE   :      int				     =       parent_node
			def 							__UpperCamelCase (			self							: Any      ,      *a							: str	)							->       None:

				"""simple docstring"""

				for value in values:
					self.__insert(a	)
			def 							__UpperCamelCase (			self							: Tuple      ,      a							: List[Any]	)							->       Node | None:

				"""simple docstring"""

				if self.empty():
					raise IndexError("Warning: Tree is empty! please use another."	)
				else:
					SCREAMING_SNAKE_CASE   :      str				     =       self.root
					# use lazy evaluation here to avoid NoneType Attribute error
					while node is not None and node.value is not value:
						SCREAMING_SNAKE_CASE   :      Optional[int]				     =       node.left if value < node.value else node.right
					return node
			def 							__UpperCamelCase (			self							: int      ,      a							: Node | None = None	)							->       Node | None:

				"""simple docstring"""

				if node is None:
					if self.root is None:
						return None
					SCREAMING_SNAKE_CASE   :      Tuple				     =       self.root

				if not self.empty():
					while node.right is not None:
						SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       node.right
				return node
			def 							__UpperCamelCase (			self							: int      ,      a							: Node | None = None	)							->       Node | None:

				"""simple docstring"""

				if node is None:
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       self.root
				if self.root is None:
					return None
				if not self.empty():
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       self.root
					while node.left is not None:
						SCREAMING_SNAKE_CASE   :      str				     =       node.left
				return node
			def 							__UpperCamelCase (			self							: Dict      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       self.search(a	)  # Look for the node with that label
				if node is not None:
					if node.left is None and node.right is None:  # If it has no children
						self.__reassign_nodes(a      ,      a	)
					elif node.left is None:  # Has only right children
						self.__reassign_nodes(a      ,      node.right	)
					elif node.right is None:  # Has only left children
						self.__reassign_nodes(a      ,      node.left	)
					else:
						SCREAMING_SNAKE_CASE   :      Tuple				     =       self.get_max(
						    node.left	)  # Gets the max value of the left branch
						self.remove(tmp_node.value	)  # type: ignore
						SCREAMING_SNAKE_CASE   :      str				     =       (
						    tmp_node.value  # type: ignore
						)  # Assigns the value to the node to delete and keep tree structure
			def 							__UpperCamelCase (			self							: List[Any]      ,      a							: Node | None	)							->       Iterable:

				"""simple docstring"""

				if node is not None:
					yield node  # Preorder Traversal
					yield from self.preorder_traverse(node.left	)
					yield from self.preorder_traverse(node.right	)
			def 							__UpperCamelCase (			self							: str      ,      a							: Union[str, Any]=None	)							->       Any:

				"""simple docstring"""

				if traversal_function is None:
					return self.preorder_traverse(self.root	)
				else:
					return traversal_function(self.root	)
			def 							__UpperCamelCase (			self							: Optional[Any]      ,      a							: list      ,      a							: Node | None	)							->       None:

				"""simple docstring"""

				if node:
					self.inorder(a      ,      node.left	)
					arr.append(node.value	)
					self.inorder(a      ,      node.right	)






			def 							__UpperCamelCase (			self							: int      ,      a							: int      ,      a							: Node	)							->       int:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      list[int]				     =       []
				self.inorder(a      ,      a	)  # append all values to list using inorder traversal
				return arr[k - 1]

def  lowerCamelCase__ (					_a):
	SCREAMING_SNAKE_CASE   :      int				     =       []
	if curr_node is not None:
		SCREAMING_SNAKE_CASE   :      List[str]				     =       postorder(curr_node.left) + postorder(curr_node.right) + [curr_node]
	return node_list

def  lowerCamelCase__ (					):
	SCREAMING_SNAKE_CASE   :      int				     =       (8, 3, 6, 1, 10, 14, 13, 4, 7)
	SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       BinarySearchTree()
	for i in testlist:
		t.insert(_a)

	# Prints all the elements of the list in order traversal
	print(_a)

	if t.search(6) is not None:
		print("The value 6 exists")
	else:
		print("The value 6 doesn't exist")

	if t.search(-1) is not None:
		print("The value -1 exists")
	else:
		print("The value -1 doesn't exist")

	if not t.empty():
		print("Max Value: "							,			t.get_max().value)  # type: ignore
		print("Min Value: "							,			t.get_min().value)  # type: ignore

	for i in testlist:
		t.remove(_a)
		print(_a)


if __name__ == "__main__":
			import doctest

			doctest.testmod(verbose=True)