

from __future__ import annotations

import math
import random
from typing import Any


class 				SCREAMING_SNAKE_CASE__ :





    def __init__(				self):
         lowercase__   :       list[Any]				=	[]
         lowercase__   :       int				=	0
         lowercase__   :       int				=	0





    def 				snake_case_    (				self):
         return self.head == self.tail





    def 				snake_case_    (				self						,       a):
         self.data.append(a)
         lowercase__   :       int				=	self.tail + 1





    def 				snake_case_    (				self):
         lowercase__   :       str				=	self.data[self.head]
         lowercase__   :       Tuple				=	self.head + 1
         return ret





    def 				snake_case_    (				self):
         return self.tail - self.head





    def 				snake_case_    (				self):
         print(self.data)
         print('**************')
         print(self.data[self.head : self.tail])



class 				SCREAMING_SNAKE_CASE__ :





    def __init__(				self						,       a):
         lowercase__   :       Union[str, Any]				=	data
         lowercase__   :       MyNode | None				=	None
         lowercase__   :       MyNode | None				=	None
         lowercase__   :       int				=	1





    def 				snake_case_    (				self):
         return self.data





    def 				snake_case_    (				self):
         return self.left





    def 				snake_case_    (				self):
         return self.right





    def 				snake_case_    (				self):
         return self.height





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Dict				=	data





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Tuple				=	node





    def 				snake_case_    (				self						,       a):
         lowercase__   :       List[str]				=	node





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Optional[int]				=	height



def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode | None      ):



     '''simple docstring'''





     if node is None:
          return 0
     return node.get_height()

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int     ,					SCREAMING_SNAKE_CASE_		:   int      ):



     '''simple docstring'''





     if a > b:
          return a
     return b

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode      ):



     '''simple docstring'''





     print('left rotation node:'     ,					node.get_data()      )
     lowercase__   :       List[str]				=	node.get_left()
     assert ret is not None
     node.set_left(ret.get_right()      )
     ret.set_right(SCREAMING_SNAKE_CASE_      )
     lowercase__   :       str				=	my_max(get_height(node.get_right()      )     ,					get_height(node.get_left()      )      ) + 1
     node.set_height(SCREAMING_SNAKE_CASE_      )
     lowercase__   :       List[str]				=	my_max(get_height(ret.get_right()      )     ,					get_height(ret.get_left()      )      ) + 1
     ret.set_height(SCREAMING_SNAKE_CASE_      )
     return ret

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode      ):



     '''simple docstring'''





     print('right rotation node:'     ,					node.get_data()      )
     lowercase__   :       Optional[int]				=	node.get_right()
     assert ret is not None
     node.set_right(ret.get_left()      )
     ret.set_left(SCREAMING_SNAKE_CASE_      )
     lowercase__   :       Optional[int]				=	my_max(get_height(node.get_right()      )     ,					get_height(node.get_left()      )      ) + 1
     node.set_height(SCREAMING_SNAKE_CASE_      )
     lowercase__   :       Optional[Any]				=	my_max(get_height(ret.get_right()      )     ,					get_height(ret.get_left()      )      ) + 1
     ret.set_height(SCREAMING_SNAKE_CASE_      )
     return ret

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode      ):



     '''simple docstring'''





     lowercase__   :       Any				=	node.get_left()
     assert left_child is not None
     node.set_left(left_rotation(SCREAMING_SNAKE_CASE_      )      )
     return right_rotation(SCREAMING_SNAKE_CASE_      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode      ):



     '''simple docstring'''





     lowercase__   :       Any				=	node.get_right()
     assert right_child is not None
     node.set_right(right_rotation(SCREAMING_SNAKE_CASE_      )      )
     return left_rotation(SCREAMING_SNAKE_CASE_      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode | None     ,					SCREAMING_SNAKE_CASE_		:   Any      ):



     '''simple docstring'''





     if node is None:
          return MyNode(SCREAMING_SNAKE_CASE_      )
     if data < node.get_data():
          node.set_left(insert_node(node.get_left()     ,					SCREAMING_SNAKE_CASE_      )      )
          if (
              get_height(node.get_left()      ) - get_height(node.get_right()      ) == 2
          ):  # an unbalance detected
               lowercase__   :       Optional[Any]				=	node.get_left()
               assert left_child is not None
               if (
                   data < left_child.get_data()
               ):  # new node is the left child of the left child
                    lowercase__   :       str				=	right_rotation(SCREAMING_SNAKE_CASE_      )
               else:
                    lowercase__   :       Any				=	lr_rotation(SCREAMING_SNAKE_CASE_      )
     else:
          node.set_right(insert_node(node.get_right()     ,					SCREAMING_SNAKE_CASE_      )      )
          if get_height(node.get_right()      ) - get_height(node.get_left()      ) == 2:
               lowercase__   :       str				=	node.get_right()
               assert right_child is not None
               if data < right_child.get_data():
                    lowercase__   :       List[str]				=	rl_rotation(SCREAMING_SNAKE_CASE_      )
               else:
                    lowercase__   :       Optional[int]				=	left_rotation(SCREAMING_SNAKE_CASE_      )
     lowercase__   :       Dict				=	my_max(get_height(node.get_right()      )     ,					get_height(node.get_left()      )      ) + 1
     node.set_height(SCREAMING_SNAKE_CASE_      )
     return node

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode      ):



     '''simple docstring'''





     while True:
          lowercase__   :       int				=	root.get_right()
          if right_child is None:
               break
          lowercase__   :       List[str]				=	right_child
     return root.get_data()

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode      ):



     '''simple docstring'''





     while True:
          lowercase__   :       Any				=	root.get_left()
          if left_child is None:
               break
          lowercase__   :       List[Any]				=	left_child
     return root.get_data()

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   MyNode     ,					SCREAMING_SNAKE_CASE_		:   Any      ):



     '''simple docstring'''





     lowercase__   :       Union[str, Any]				=	root.get_left()
     lowercase__   :       Any				=	root.get_right()
     if root.get_data() == data:
          if left_child is not None and right_child is not None:
               lowercase__   :       str				=	get_left_most(SCREAMING_SNAKE_CASE_      )
               root.set_data(SCREAMING_SNAKE_CASE_      )
               root.set_right(del_node(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )      )
          elif left_child is not None:
               lowercase__   :       List[Any]				=	left_child
          elif right_child is not None:
               lowercase__   :       int				=	right_child
          else:
               return None
     elif root.get_data() > data:
          if left_child is None:
               print('No such data'      )
               return root
          else:
               root.set_left(del_node(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )      )
     else:  # root.get_data() < data
          if right_child is None:
               return root
          else:
               root.set_right(del_node(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )      )

     if get_height(SCREAMING_SNAKE_CASE_      ) - get_height(SCREAMING_SNAKE_CASE_      ) == 2:
          assert right_child is not None
          if get_height(right_child.get_right()      ) > get_height(right_child.get_left()      ):
               lowercase__   :       Any				=	left_rotation(SCREAMING_SNAKE_CASE_      )
          else:
               lowercase__   :       Union[str, Any]				=	rl_rotation(SCREAMING_SNAKE_CASE_      )
     elif get_height(SCREAMING_SNAKE_CASE_      ) - get_height(SCREAMING_SNAKE_CASE_      ) == -2:
          assert left_child is not None
          if get_height(left_child.get_left()      ) > get_height(left_child.get_right()      ):
               lowercase__   :       Any				=	right_rotation(SCREAMING_SNAKE_CASE_      )
          else:
               lowercase__   :       int				=	lr_rotation(SCREAMING_SNAKE_CASE_      )
     lowercase__   :       List[Any]				=	my_max(get_height(root.get_right()      )     ,					get_height(root.get_left()      )      ) + 1
     root.set_height(SCREAMING_SNAKE_CASE_      )
     return root


class 				SCREAMING_SNAKE_CASE__ :





    def __init__(				self):
         lowercase__   :       MyNode | None				=	None





    def 				snake_case_    (				self):
         return get_height(self.root)





    def 				snake_case_    (				self						,       a):
         print('insert:' + str(a))
         lowercase__   :       str				=	insert_node(self.root						,       a)





    def 				snake_case_    (				self						,       a):
         print('delete:' + str(a))
         if self.root is None:
              print('Tree is empty!')
              return
         lowercase__   :       Optional[Any]				=	del_node(self.root						,       a)





    def __str__(				self						,       ):  # a level traversale, gives a more intuitive look on the tree
         lowercase__   :       str				=	''
         lowercase__   :       Union[str, Any]				=	MyQueue()
         q.push(self.root)
         lowercase__   :       int				=	self.get_height()
         if layer == 0:
              return output
         lowercase__   :       str				=	0
         while not q.is_empty():
              lowercase__   :       List[Any]				=	q.pop()
              lowercase__   :       int				=	' ' * int(math.pow(2						,       layer - 1))
              output += space
              if node is None:
                   output += "*"
                   q.push(a)
                   q.push(a)
              else:
                   output += str(node.get_data())
                   q.push(node.get_left())
                   q.push(node.get_right())
              output += space
              lowercase__   :       List[Any]				=	cnt + 1
              for i in range(100):
                   if cnt == math.pow(2						,       a) - 1:
                        lowercase__   :       str				=	layer - 1
                        if layer == 0:
                             output += "\n*************************************"
                             return output
                        output += "\n"
                        break
         output += "\n*************************************"
         return output



def      snake_case__      (   ):



     '''simple docstring'''





     import doctest

     doctest.testmod()


if __name__ == "__main__":
       _test()
       snake_case_        =			AVLtree()
       snake_case_        =			list(range(10))
       random.shuffle(lst)
       for i in lst:
              t.insert(i)
              print(str(t))
       random.shuffle(lst)
       for i in lst:
              t.del_node(i)
              print(str(t))




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,
    convert_to_rgb,
    get_resize_output_image_size,
    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


snake_case_        =			logging.get_logger(__name__)


if is_vision_available():
       import PIL


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):
    __lowerCamelCase						:	Optional[Any]														=					["""pixel_values"""]





    def __init__(				self						,       a = True						,       a = None						,       a = PILImageResampling.BICUBIC						,       a = True						,       a = None						,       a = True						,       a = 1 / 255						,       a = True						,       a = None						,       a = None						,       a = True						,       **a						,       ):
         super().__init__(**a)
         lowercase__   :       List[str]				=	size if size is not None else {'shortest_edge': 224}
         lowercase__   :       str				=	get_size_dict(a						,       default_to_square=a)
         lowercase__   :       Optional[int]				=	crop_size if crop_size is not None else {'height': 224, 'width': 224}
         lowercase__   :       Union[str, Any]				=	get_size_dict(a						,       default_to_square=a						,       param_name='crop_size')

         lowercase__   :       List[str]				=	do_resize
         lowercase__   :       List[Any]				=	size
         lowercase__   :       Tuple				=	resample
         lowercase__   :       int				=	do_center_crop
         lowercase__   :       Union[str, Any]				=	crop_size
         lowercase__   :       int				=	do_rescale
         lowercase__   :       List[str]				=	rescale_factor
         lowercase__   :       Tuple				=	do_normalize
         lowercase__   :       str				=	image_mean if image_mean is not None else OPENAI_CLIP_MEAN
         lowercase__   :       Optional[Any]				=	image_std if image_std is not None else OPENAI_CLIP_STD
         lowercase__   :       List[Any]				=	do_convert_rgb





    def 				snake_case_    (				self						,       a						,       a						,       a = PILImageResampling.BICUBIC						,       a = None						,       **a						,       ):
         lowercase__   :       str				=	get_size_dict(a						,       default_to_square=a)
         if "shortest_edge" not in size:
              raise ValueError(f"""The `size` parameter must contain the key `shortest_edge`. Got {size.keys()}""")
         lowercase__   :       str				=	get_resize_output_image_size(a						,       size=size['shortest_edge']						,       default_to_square=a)
         return resize(a						,       size=a						,       resample=a						,       data_format=a						,       **a)





    def 				snake_case_    (				self						,       a						,       a						,       a = None						,       **a						,       ):
         lowercase__   :       List[str]				=	get_size_dict(a)
         if "height" not in size or "width" not in size:
              raise ValueError(f"""The `size` parameter must contain the keys (height, width). Got {size.keys()}""")
         return center_crop(a						,       size=(size['height'], size['width'])						,       data_format=a						,       **a)





    def 				snake_case_    (				self						,       a						,       a						,       a = None						,       **a						,       ):
         return rescale(a						,       scale=a						,       data_format=a						,       **a)





    def 				snake_case_    (				self						,       a						,       a						,       a						,       a = None						,       **a						,       ):
         return normalize(a						,       mean=a						,       std=a						,       data_format=a						,       **a)





    def 				snake_case_    (				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 = None						,       a = ChannelDimension.FIRST						,       **a						,       ):
         lowercase__   :       int				=	do_resize if do_resize is not None else self.do_resize
         lowercase__   :       Tuple				=	size if size is not None else self.size
         lowercase__   :       Union[str, Any]				=	get_size_dict(a						,       param_name='size'						,       default_to_square=a)
         lowercase__   :       Optional[Any]				=	resample if resample is not None else self.resample
         lowercase__   :       int				=	do_center_crop if do_center_crop is not None else self.do_center_crop
         lowercase__   :       List[Any]				=	crop_size if crop_size is not None else self.crop_size
         lowercase__   :       Union[str, Any]				=	get_size_dict(a						,       param_name='crop_size'						,       default_to_square=a)
         lowercase__   :       Dict				=	do_rescale if do_rescale is not None else self.do_rescale
         lowercase__   :       int				=	rescale_factor if rescale_factor is not None else self.rescale_factor
         lowercase__   :       List[str]				=	do_normalize if do_normalize is not None else self.do_normalize
         lowercase__   :       Optional[Any]				=	image_mean if image_mean is not None else self.image_mean
         lowercase__   :       List[str]				=	image_std if image_std is not None else self.image_std
         lowercase__   :       Any				=	do_convert_rgb if do_convert_rgb is not None else self.do_convert_rgb

         lowercase__   :       str				=	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_resize and size is None:
              raise ValueError('Size must be specified if do_resize is True.')

         if do_center_crop and crop_size is None:
              raise ValueError('Crop size must be specified if do_center_crop 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:
              lowercase__   :       str				=	[convert_to_rgb(a) for image in images]

         # All transformations expect numpy arrays.
         lowercase__   :       Dict				=	[to_numpy_array(a) for image in images]

         if do_resize:
              lowercase__   :       Tuple				=	[self.resize(image=a						,       size=a						,       resample=a) for image in images]

         if do_center_crop:
              lowercase__   :       List[str]				=	[self.center_crop(image=a						,       size=a) for image in images]

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

         if do_normalize:
              lowercase__   :       Tuple				=	[self.normalize(image=a						,       mean=a						,       std=a) for image in images]

         lowercase__   :       Optional[int]				=	[to_channel_dimension_format(a						,       a) for image in images]

         lowercase__   :       Dict				=	{'pixel_values': images}
         return BatchFeature(data=a						,       tensor_type=a)

