
from typing import Dict, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import flip_channel_order, resize, to_channel_dimension_format, to_pil_image
from ...image_utils import (
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_pytesseract_available, is_vision_available, logging, requires_backends


if is_vision_available():
							import PIL

# soft dependency
if is_pytesseract_available():
							import pytesseract

__lowerCAmelCase					   =       logging.get_logger(__name__)


def    a      ( a		,						a		,						a	)     ->List[str]:




			'''simple docstring'''


			return [
			    int(1000 * (box[0] / width)	),
			    int(1000 * (box[1] / height)	),
			    int(1000 * (box[2] / width)	),
			    int(1000 * (box[3] / height)	),
			]


def    a      ( a		,						a		,						a = None	)     ->Optional[Any]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= tesseract_config if tesseract_config is not None else ''''''

			# apply OCR
			SCREAMING_SNAKE_CASE     						= to_pil_image(a	)
			SCREAMING_SNAKE_CASE						,							SCREAMING_SNAKE_CASE     						= pil_image.size
			SCREAMING_SNAKE_CASE     						= pytesseract.image_to_data(a		,						lang=a		,						output_type='''dict'''		,						config=a	)
			SCREAMING_SNAKE_CASE						,							SCREAMING_SNAKE_CASE						,							SCREAMING_SNAKE_CASE						,							SCREAMING_SNAKE_CASE						,							SCREAMING_SNAKE_CASE     						= data['''text'''], data['''left'''], data['''top'''], data['''width'''], data['''height''']

			# filter empty words and corresponding coordinates
			SCREAMING_SNAKE_CASE     						= [idx for idx, word in enumerate(a	) if not word.strip()]
			SCREAMING_SNAKE_CASE     						= [word for idx, word in enumerate(a	) if idx not in irrelevant_indices]
			SCREAMING_SNAKE_CASE     						= [coord for idx, coord in enumerate(a	) if idx not in irrelevant_indices]
			SCREAMING_SNAKE_CASE     						= [coord for idx, coord in enumerate(a	) if idx not in irrelevant_indices]
			SCREAMING_SNAKE_CASE     						= [coord for idx, coord in enumerate(a	) if idx not in irrelevant_indices]
			SCREAMING_SNAKE_CASE     						= [coord for idx, coord in enumerate(a	) if idx not in irrelevant_indices]

			# turn coordinates into (left, top, left+width, top+height) format
			SCREAMING_SNAKE_CASE     						= []
			for x, y, w, h in zip(a		,						a		,						a		,						a	):
						SCREAMING_SNAKE_CASE     						= [x, y, x + w, y + h]
						actual_boxes.append(a	)

			# finally, normalize the bounding boxes
			SCREAMING_SNAKE_CASE     						= []
			for box in actual_boxes:
						normalized_boxes.append(normalize_box(a		,						a		,						a	)	)

			assert len(a	) == len(a	), "Not as many words as there are bounding boxes"

			return words, normalized_boxes





class     lowerCamelCase      (       __lowerCamelCase					):
	UpperCamelCase_  :					List[str]    		=	['pixel_values']







	def __init__(     self      :int   ,     lowercase      :bool = True   ,     lowercase      :Dict[str, int] = None   ,     lowercase      :PILImageResampling = PILImageResampling.BILINEAR   ,     lowercase      :bool = True   ,     lowercase      :Optional[str] = None   ,     lowercase      :Optional[str] = ""   ,     **lowercase      :str   ,     )		->      None:







				"""simple docstring"""






				super().__init__(**lowercase			)
				SCREAMING_SNAKE_CASE     						= size if size is not None else {'''height''': 2_2_4, '''width''': 2_2_4}
				SCREAMING_SNAKE_CASE     						= get_size_dict(lowercase			)

				SCREAMING_SNAKE_CASE     						= do_resize
				SCREAMING_SNAKE_CASE     						= size
				SCREAMING_SNAKE_CASE     						= resample
				SCREAMING_SNAKE_CASE     						= apply_ocr
				SCREAMING_SNAKE_CASE     						= ocr_lang
				SCREAMING_SNAKE_CASE     						= tesseract_config







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







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= get_size_dict(lowercase			)
				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     						= (size['''height'''], size['''width'''])
				return resize(lowercase   ,     size=lowercase   ,     resample=lowercase   ,     data_format=lowercase   ,     **lowercase			)







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







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= do_resize if do_resize is not None else self.do_resize
				SCREAMING_SNAKE_CASE     						= size if size is not None else self.size
				SCREAMING_SNAKE_CASE     						= get_size_dict(lowercase			)
				SCREAMING_SNAKE_CASE     						= resample if resample is not None else self.resample
				SCREAMING_SNAKE_CASE     						= apply_ocr if apply_ocr is not None else self.apply_ocr
				SCREAMING_SNAKE_CASE     						= ocr_lang if ocr_lang is not None else self.ocr_lang
				SCREAMING_SNAKE_CASE     						= tesseract_config if tesseract_config is not None else self.tesseract_config

				SCREAMING_SNAKE_CASE     						= make_list_of_images(lowercase			)

				if not valid_images(lowercase			):
							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.'''			)

				# All transformations expect numpy arrays.
				SCREAMING_SNAKE_CASE     						= [to_numpy_array(lowercase			) for image in images]

				if apply_ocr:
							requires_backends(self   ,     '''pytesseract'''			)
							SCREAMING_SNAKE_CASE     						= []
							SCREAMING_SNAKE_CASE     						= []
							for image in images:
										SCREAMING_SNAKE_CASE						,							SCREAMING_SNAKE_CASE     						= apply_tesseract(lowercase   ,     lowercase   ,     lowercase			)
										words_batch.append(lowercase			)
										boxes_batch.append(lowercase			)

				if do_resize:
							SCREAMING_SNAKE_CASE     						= [self.resize(image=lowercase   ,     size=lowercase   ,     resample=lowercase			) for image in images]

				# flip color channels from RGB to BGR (as Detectron2 requires this)
				SCREAMING_SNAKE_CASE     						= [flip_channel_order(lowercase			) for image in images]
				SCREAMING_SNAKE_CASE     						= [to_channel_dimension_format(lowercase   ,     lowercase			) for image in images]

				SCREAMING_SNAKE_CASE     						= BatchFeature(data={'''pixel_values''': images}   ,     tensor_type=lowercase			)

				if apply_ocr:
							SCREAMING_SNAKE_CASE     						= words_batch
							SCREAMING_SNAKE_CASE     						= boxes_batch
				return data

from collections.abc import Iterable
from typing import Any





class     lowerCamelCase      :







	def __init__(     self      :Optional[int]   ,     lowercase      :int | None = None			)		->      Optional[Any]:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= value
				SCREAMING_SNAKE_CASE     						= None  # Added in order to delete a node easier
				SCREAMING_SNAKE_CASE     						= None
				SCREAMING_SNAKE_CASE     						= None







	def __repr__(     self      :Tuple			)		->      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     lowerCamelCase      :







	def __init__(     self      :Union[str, Any]   ,     lowercase      :Node | None = None			)		->      Dict:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= root







	def __str__(     self      :int			)		->      str:







				"""simple docstring"""






				return str(self.root			)







	def  snake_case__     (     self      :Optional[Any]   ,     lowercase      :Node   ,     lowercase      :Node | None			)		->      None:







				"""simple docstring"""






				if new_children is not None:  # reset its kids
							SCREAMING_SNAKE_CASE     						= node.parent
				if node.parent is not None:  # reset its parent
							if self.is_right(lowercase			):  # If it is the right children
										SCREAMING_SNAKE_CASE     						= new_children
							else:
										SCREAMING_SNAKE_CASE     						= new_children
				else:
							SCREAMING_SNAKE_CASE     						= new_children







	def  snake_case__     (     self      :List[str]   ,     lowercase      :Node			)		->      bool:







				"""simple docstring"""






				if node.parent and node.parent.right:
							return node == node.parent.right
				return False







	def  snake_case__     (     self      :Tuple			)		->      bool:







				"""simple docstring"""






				return self.root is None







	def  snake_case__     (     self      :Union[str, Any]   ,     lowercase      :List[Any]			)		->      None:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= Node(lowercase			)  # create a new Node
				if self.empty():  # if Tree is empty
							SCREAMING_SNAKE_CASE     						= new_node  # set its root
				else:  # Tree is not empty
							SCREAMING_SNAKE_CASE     						= 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     						= new_node  # We insert the new node in a leaf
																break
													else:
																SCREAMING_SNAKE_CASE     						= parent_node.left
										else:
													if parent_node.right is None:
																SCREAMING_SNAKE_CASE     						= new_node
																break
													else:
																SCREAMING_SNAKE_CASE     						= parent_node.right
							SCREAMING_SNAKE_CASE     						= parent_node







	def  snake_case__     (     self      :Union[str, Any]   ,     *lowercase      :Optional[int]			)		->      None:







				"""simple docstring"""






				for value in values:
							self.__insert(lowercase			)







	def  snake_case__     (     self      :Union[str, Any]   ,     lowercase      :Any			)		->      Node | None:







				"""simple docstring"""






				if self.empty():
							raise IndexError('''Warning: Tree is empty! please use another.'''			)
				else:
							SCREAMING_SNAKE_CASE     						= 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     						= node.left if value < node.value else node.right
							return node







	def  snake_case__     (     self      :str   ,     lowercase      :Node | None = None			)		->      Node | None:







				"""simple docstring"""






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

				if not self.empty():
							while node.right is not None:
										SCREAMING_SNAKE_CASE     						= node.right
				return node







	def  snake_case__     (     self      :int   ,     lowercase      :Node | None = None			)		->      Node | None:







				"""simple docstring"""






				if node is None:
							SCREAMING_SNAKE_CASE     						= self.root
				if self.root is None:
							return None
				if not self.empty():
							SCREAMING_SNAKE_CASE     						= self.root
							while node.left is not None:
										SCREAMING_SNAKE_CASE     						= node.left
				return node







	def  snake_case__     (     self      :Optional[int]   ,     lowercase      :int			)		->      None:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= self.search(lowercase			)  # 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(lowercase   ,     lowercase			)
							elif node.left is None:  # Has only right children
										self.__reassign_nodes(lowercase   ,     node.right			)
							elif node.right is None:  # Has only left children
										self.__reassign_nodes(lowercase   ,     node.left			)
							else:
										SCREAMING_SNAKE_CASE     						= self.get_max(
										    node.left			)  # Gets the max value of the left branch
										self.remove(tmp_node.value			)  # type: ignore
										SCREAMING_SNAKE_CASE     						= (
										    tmp_node.value  # type: ignore
										)  # Assigns the value to the node to delete and keep tree structure







	def  snake_case__     (     self      :Dict   ,     lowercase      :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  snake_case__     (     self      :Tuple   ,     lowercase      :List[str]=None			)		->      Any:







				"""simple docstring"""






				if traversal_function is None:
							return self.preorder_traverse(self.root			)
				else:
							return traversal_function(self.root			)







	def  snake_case__     (     self      :Optional[Any]   ,     lowercase      :list   ,     lowercase      :Node | None			)		->      None:







				"""simple docstring"""






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







	def  snake_case__     (     self      :Tuple   ,     lowercase      :int   ,     lowercase      :Node			)		->      int:







				"""simple docstring"""






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



def    a      ( a	)     ->list[Node]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= []
			if curr_node is not None:
						SCREAMING_SNAKE_CASE     						= postorder(curr_node.left	) + postorder(curr_node.right	) + [curr_node]
			return node_list


def    a      ( )     ->None:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= (8, 3, 6, 1, 10, 14, 13, 4, 7)
			SCREAMING_SNAKE_CASE     						= 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)