from __future__ import annotations

import math
import random
from typing import Any





class      A							:


   def __init__(self     :						Dict		)						->				Any:
         """simple docstring"""



         UpperCAmelCase__								=  []
         UpperCAmelCase__								=  0
         UpperCAmelCase__								=  0


   def 			lowercase_      (self     :						List[Any]		)						->				Optional[int]:
         """simple docstring"""



         return self.head == self.tail


   def 			lowercase_      (self     :						List[Any]       ,  __UpperCAmelCase     :						List[Any]		)						->				Any:
         """simple docstring"""



         self.data.append(_A		)
         UpperCAmelCase__								=  self.tail + 1


   def 			lowercase_      (self     :						Union[str, Any]		)						->				Optional[int]:
         """simple docstring"""



         UpperCAmelCase__								=  self.data[self.head]
         UpperCAmelCase__								=  self.head + 1
         return ret


   def 			lowercase_      (self     :						Dict		)						->				Tuple:
         """simple docstring"""



         return self.tail - self.head





   def 			lowercase_      (self     :						Union[str, Any]		)						->				Optional[Any]:
         """simple docstring"""



         print(self.data		)
         print("**************"		)
         print(self.data[self.head : self.tail]		)





class      A							:


   def __init__(self     :						Tuple       ,  __UpperCAmelCase     :						int		)						->				Optional[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  data
         UpperCAmelCase__								=  None
         UpperCAmelCase__								=  None
         UpperCAmelCase__								=  1


   def 			lowercase_      (self     :						List[str]		)						->				str:
         """simple docstring"""



         return self.data


   def 			lowercase_      (self     :						Dict		)						->				Tuple:
         """simple docstring"""



         return self.left


   def 			lowercase_      (self     :						Any		)						->				Tuple:
         """simple docstring"""



         return self.right


   def 			lowercase_      (self     :						List[Any]		)						->				str:
         """simple docstring"""



         return self.height


   def 			lowercase_      (self     :						Tuple       ,  __UpperCAmelCase     :						Dict		)						->				List[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  data


   def 			lowercase_      (self     :						Any       ,  __UpperCAmelCase     :						Optional[int]		)						->				Union[str, Any]:
         """simple docstring"""



         UpperCAmelCase__								=  node


   def 			lowercase_      (self     :						List[str]       ,  __UpperCAmelCase     :						int		)						->				Union[str, Any]:
         """simple docstring"""



         UpperCAmelCase__								=  node





   def 			lowercase_      (self     :						int       ,  __UpperCAmelCase     :						List[str]		)						->				Dict:
         """simple docstring"""



         UpperCAmelCase__								=  height




def    lowerCAmelCase_ (     __A							)     ->				int:







      '''simple docstring'''


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




def    lowerCAmelCase_ (     __A,  __A							)     ->				int:







      '''simple docstring'''


      if a > b:
            return a
      return b




def    lowerCAmelCase_ (     __A							)     ->				MyNode:







      '''simple docstring'''


      print("left rotation node:",  node.get_data()							)
      UpperCAmelCase__								=  node.get_left()
      assert ret is not None
      node.set_left(ret.get_right()							)
      ret.set_right(__A							)
      UpperCAmelCase__								=  my_max(get_height(node.get_right()							),  get_height(node.get_left()							)							) + 1
      node.set_height(__A							)
      UpperCAmelCase__								=  my_max(get_height(ret.get_right()							),  get_height(ret.get_left()							)							) + 1
      ret.set_height(__A							)
      return ret




def    lowerCAmelCase_ (     __A							)     ->				MyNode:







      '''simple docstring'''


      print("right rotation node:",  node.get_data()							)
      UpperCAmelCase__								=  node.get_right()
      assert ret is not None
      node.set_right(ret.get_left()							)
      ret.set_left(__A							)
      UpperCAmelCase__								=  my_max(get_height(node.get_right()							),  get_height(node.get_left()							)							) + 1
      node.set_height(__A							)
      UpperCAmelCase__								=  my_max(get_height(ret.get_right()							),  get_height(ret.get_left()							)							) + 1
      ret.set_height(__A							)
      return ret




def    lowerCAmelCase_ (     __A							)     ->				MyNode:







      '''simple docstring'''


      UpperCAmelCase__								=  node.get_left()
      assert left_child is not None
      node.set_left(left_rotation(__A							)							)
      return right_rotation(__A							)




def    lowerCAmelCase_ (     __A							)     ->				MyNode:







      '''simple docstring'''


      UpperCAmelCase__								=  node.get_right()
      assert right_child is not None
      node.set_right(right_rotation(__A							)							)
      return left_rotation(__A							)




def    lowerCAmelCase_ (     __A,  __A							)     ->				MyNode | None:







      '''simple docstring'''


      if node is None:
            return MyNode(__A							)
      if data < node.get_data():
            node.set_left(insert_node(node.get_left(),  __A							)							)
            if (
                get_height(node.get_left()							) - get_height(node.get_right()							) == 2
            ):  # an unbalance detected
                  UpperCAmelCase__								=  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
                        UpperCAmelCase__								=  right_rotation(__A							)
                  else:
                        UpperCAmelCase__								=  lr_rotation(__A							)
      else:
            node.set_right(insert_node(node.get_right(),  __A							)							)
            if get_height(node.get_right()							) - get_height(node.get_left()							) == 2:
                  UpperCAmelCase__								=  node.get_right()
                  assert right_child is not None
                  if data < right_child.get_data():
                        UpperCAmelCase__								=  rl_rotation(__A							)
                  else:
                        UpperCAmelCase__								=  left_rotation(__A							)
      UpperCAmelCase__								=  my_max(get_height(node.get_right()							),  get_height(node.get_left()							)							) + 1
      node.set_height(__A							)
      return node




def    lowerCAmelCase_ (     __A							)     ->				Any:







      '''simple docstring'''


      while True:
            UpperCAmelCase__								=  root.get_right()
            if right_child is None:
                  break
            UpperCAmelCase__								=  right_child
      return root.get_data()




def    lowerCAmelCase_ (     __A							)     ->				Any:







      '''simple docstring'''


      while True:
            UpperCAmelCase__								=  root.get_left()
            if left_child is None:
                  break
            UpperCAmelCase__								=  left_child
      return root.get_data()




def    lowerCAmelCase_ (     __A,  __A							)     ->				MyNode | None:







      '''simple docstring'''


      UpperCAmelCase__								=  root.get_left()
      UpperCAmelCase__								=  root.get_right()
      if root.get_data() == data:
            if left_child is not None and right_child is not None:
                  UpperCAmelCase__								=  get_left_most(__A							)
                  root.set_data(__A							)
                  root.set_right(del_node(__A,  __A							)							)
            elif left_child is not None:
                  UpperCAmelCase__								=  left_child
            elif right_child is not None:
                  UpperCAmelCase__								=  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(__A,  __A							)							)
      else:  # root.get_data() < data
            if right_child is None:
                  return root
            else:
                  root.set_right(del_node(__A,  __A							)							)

      if get_height(__A							) - get_height(__A							) == 2:
            assert right_child is not None
            if get_height(right_child.get_right()							) > get_height(right_child.get_left()							):
                  UpperCAmelCase__								=  left_rotation(__A							)
            else:
                  UpperCAmelCase__								=  rl_rotation(__A							)
      elif get_height(__A							) - get_height(__A							) == -2:
            assert left_child is not None
            if get_height(left_child.get_left()							) > get_height(left_child.get_right()							):
                  UpperCAmelCase__								=  right_rotation(__A							)
            else:
                  UpperCAmelCase__								=  lr_rotation(__A							)
      UpperCAmelCase__								=  my_max(get_height(root.get_right()							),  get_height(root.get_left()							)							) + 1
      root.set_height(__A							)
      return root





class      A							:


   def __init__(self     :						List[str]		)						->				Dict:
         """simple docstring"""



         UpperCAmelCase__								=  None


   def 			lowercase_      (self     :						str		)						->				Union[str, Any]:
         """simple docstring"""



         return get_height(self.root		)


   def 			lowercase_      (self     :						Any       ,  __UpperCAmelCase     :						Optional[Any]		)						->				Tuple:
         """simple docstring"""



         print("insert:" + str(_A		)		)
         UpperCAmelCase__								=  insert_node(self.root       ,  _A		)


   def 			lowercase_      (self     :						List[Any]       ,  __UpperCAmelCase     :						str		)						->				Optional[Any]:
         """simple docstring"""



         print("delete:" + str(_A		)		)
         if self.root is None:
               print("Tree is empty!"		)
               return
         UpperCAmelCase__								=  del_node(self.root       ,  _A		)





   def __str__(self     :						List[str]       ,  )						->				str:  # a level traversale, gives a more intuitive look on the tree
         """simple docstring"""



         UpperCAmelCase__								=  ''
         UpperCAmelCase__								=  MyQueue()
         q.push(self.root		)
         UpperCAmelCase__								=  self.get_height()
         if layer == 0:
               return output
         UpperCAmelCase__								=  0
         while not q.is_empty():
               UpperCAmelCase__								=  q.pop()
               UpperCAmelCase__								=  ' ' * 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
               UpperCAmelCase__								=  cnt + 1
               for i in range(1_0_0		):
                     if cnt == math.pow(2       ,  _A		) - 1:
                           UpperCAmelCase__								=  layer - 1
                           if layer == 0:
                                 output += "\n*************************************"
                                 return output
                           output += "\n"
                           break
         output += "\n*************************************"
         return output




def    lowerCAmelCase_ (     )     ->				None:







      '''simple docstring'''


      import doctest

      doctest.testmod()


if __name__ == "__main__":
      _test()
      UpperCamelCase__											=					AVLtree()
      UpperCamelCase__											=					list(range(1_0))
      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))










import hashlib
import unittest
from typing import Dict

import numpy as np

from transformers import (
    MODEL_FOR_MASK_GENERATION_MAPPING,
    TF_MODEL_FOR_MASK_GENERATION_MAPPING,
    is_vision_available,
    pipeline,
)
from transformers.pipelines import MaskGenerationPipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_vision,
    slow,
)


if is_vision_available():
				from PIL import Image
else:





				class 						_A:


								"""simple docstring"""


								@staticmethod
								def 					UpperCAmelCase_		(			*_A     ,					**_A     ):
													pass







def  _SCREAMING_SNAKE_CASE				(   a  )      ->      str:
					__A	:						str       =				hashlib.mda(image.tobytes()  )
					return m.hexdigest()[:10]







def  _SCREAMING_SNAKE_CASE				(   a  )      ->      Dict:
					__A	:						Dict       =				np.array(a  )
					__A	:						List[Any]       =				npimg.shape
					return {"hash": hashimage(a  ), "shape": shape}





@is_pipeline_test
@require_vision
@require_torch
class 						_A(					unittest.TestCase   ):


				"""simple docstring"""


				UpperCamelCase    :  str					    =	dict(
				    (list(MODEL_FOR_MASK_GENERATION_MAPPING.items()   ) if MODEL_FOR_MASK_GENERATION_MAPPING else [])   )
				UpperCamelCase    :  int					    =	dict(
				    (list(TF_MODEL_FOR_MASK_GENERATION_MAPPING.items()   ) if TF_MODEL_FOR_MASK_GENERATION_MAPPING else [])   )



				def 					UpperCAmelCase_		(			self     ,					_A     ,					_A     ,					_A     ):
									__A	:						Dict       =				MaskGenerationPipeline(model=_A     ,					image_processor=_A     )
									return image_segmenter, [
									    "./tests/fixtures/tests_samples/COCO/000000039769.png",
									    "./tests/fixtures/tests_samples/COCO/000000039769.png",
									]



				def 					UpperCAmelCase_		(			self     ,					_A     ,					_A     ):
									pass



				@require_tf
				@unittest.skip('Image segmentation not implemented in TF'     )
				def 					UpperCAmelCase_		(			self     ):
									pass



				@slow
				@require_torch
				def 					UpperCAmelCase_		(			self     ):
									__A	:						Union[str, Any]       =				pipeline('mask-generation'     ,					model='facebook/sam-vit-huge'     )

									__A	:						List[str]       =				image_segmenter('http://images.cocodataset.org/val2017/000000039769.jpg'     ,					points_per_batch=256     )

									# Shortening by hashing
									__A	:						List[Any]       =				[]
									for i, o in enumerate(outputs['masks']     ):
														new_outupt += [{"mask": mask_to_test_readable(_A     ), "scores": outputs["scores"][i]}]

									# fmt: off
									self.assertEqual(
									    nested_simplify(_A     ,					decimals=4     )     ,					[
									        {'mask': {'hash': '115ad19f5f', 'shape': (480, 640)}, 'scores': 1.0_4_4_4},
									        {'mask': {'hash': '6affa964c6', 'shape': (480, 640)}, 'scores': 1.0_2_1},
									        {'mask': {'hash': 'dfe28a0388', 'shape': (480, 640)}, 'scores': 1.0_1_6_7},
									        {'mask': {'hash': 'c0a5f4a318', 'shape': (480, 640)}, 'scores': 1.0_1_3_2},
									        {'mask': {'hash': 'fe8065c197', 'shape': (480, 640)}, 'scores': 1.0_0_5_3},
									        {'mask': {'hash': 'e2d0b7a0b7', 'shape': (480, 640)}, 'scores': 0.9_9_6_7},
									        {'mask': {'hash': '453c7844bd', 'shape': (480, 640)}, 'scores': 0.9_9_3},
									        {'mask': {'hash': '3d44f2926d', 'shape': (480, 640)}, 'scores': 0.9_9_0_9},
									        {'mask': {'hash': '64033ddc3f', 'shape': (480, 640)}, 'scores': 0.9_8_7_9},
									        {'mask': {'hash': '801064ff79', 'shape': (480, 640)}, 'scores': 0.9_8_3_4},
									        {'mask': {'hash': '6172f276ef', 'shape': (480, 640)}, 'scores': 0.9_7_1_6},
									        {'mask': {'hash': 'b49e60e084', 'shape': (480, 640)}, 'scores': 0.9_6_1_2},
									        {'mask': {'hash': 'a811e775fd', 'shape': (480, 640)}, 'scores': 0.9_5_9_9},
									        {'mask': {'hash': 'a6a8ebcf4b', 'shape': (480, 640)}, 'scores': 0.9_5_5_2},
									        {'mask': {'hash': '9d8257e080', 'shape': (480, 640)}, 'scores': 0.9_5_3_2},
									        {'mask': {'hash': '32de6454a8', 'shape': (480, 640)}, 'scores': 0.9_5_1_6},
									        {'mask': {'hash': 'af3d4af2c8', 'shape': (480, 640)}, 'scores': 0.9_4_9_9},
									        {'mask': {'hash': '3c6db475fb', 'shape': (480, 640)}, 'scores': 0.9_4_8_3},
									        {'mask': {'hash': 'c290813fb9', 'shape': (480, 640)}, 'scores': 0.9_4_6_4},
									        {'mask': {'hash': 'b6f0b8f606', 'shape': (480, 640)}, 'scores': 0.9_4_3},
									        {'mask': {'hash': '92ce16bfdf', 'shape': (480, 640)}, 'scores': 0.9_4_3},
									        {'mask': {'hash': 'c749b25868', 'shape': (480, 640)}, 'scores': 0.9_4_0_8},
									        {'mask': {'hash': 'efb6cab859', 'shape': (480, 640)}, 'scores': 0.9_3_3_5},
									        {'mask': {'hash': '1ff2eafb30', 'shape': (480, 640)}, 'scores': 0.9_3_2_6},
									        {'mask': {'hash': '788b798e24', 'shape': (480, 640)}, 'scores': 0.9_2_6_2},
									        {'mask': {'hash': 'abea804f0e', 'shape': (480, 640)}, 'scores': 0.8_9_9_9},
									        {'mask': {'hash': '7b9e8ddb73', 'shape': (480, 640)}, 'scores': 0.8_9_8_6},
									        {'mask': {'hash': 'cd24047c8a', 'shape': (480, 640)}, 'scores': 0.8_9_8_4},
									        {'mask': {'hash': '6943e6bcbd', 'shape': (480, 640)}, 'scores': 0.8_8_7_3},
									        {'mask': {'hash': 'b5f47c9191', 'shape': (480, 640)}, 'scores': 0.8_8_7_1}
									    ]     ,					)
									# fmt: on





				@require_torch
				@slow
				def 					UpperCAmelCase_		(			self     ):
									__A	:						Optional[Any]       =				'facebook/sam-vit-huge'
									__A	:						List[str]       =				pipeline('mask-generation'     ,					model=_A     )

									__A	:						Tuple       =				image_segmenter(
									    'http://images.cocodataset.org/val2017/000000039769.jpg'     ,					pred_iou_thresh=1     ,					points_per_batch=256     )

									# Shortening by hashing
									__A	:						List[str]       =				[]
									for i, o in enumerate(outputs['masks']     ):
														new_outupt += [{"mask": mask_to_test_readable(_A     ), "scores": outputs["scores"][i]}]

									self.assertEqual(
									    nested_simplify(_A     ,					decimals=4     )     ,					[
									        {'mask': {'hash': '115ad19f5f', 'shape': (480, 640)}, 'scores': 1.0_4_4_4},
									        {'mask': {'hash': '6affa964c6', 'shape': (480, 640)}, 'scores': 1.0_2_1_0},
									        {'mask': {'hash': 'dfe28a0388', 'shape': (480, 640)}, 'scores': 1.0_1_6_7},
									        {'mask': {'hash': 'c0a5f4a318', 'shape': (480, 640)}, 'scores': 1.0_1_3_2},
									        {'mask': {'hash': 'fe8065c197', 'shape': (480, 640)}, 'scores': 1.0_0_5_3},
									    ]     ,					)




