





'''simple docstring'''




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 			SCREAMING_SNAKE_CASE   :


       @staticmethod
       def 							SCREAMING_SNAKE_CASE  (						*_UpperCAmelCase						,     **_UpperCAmelCase):

            '''simple docstring'''






            pass






def 	_lowerCAmelCase      (  __snake_case  :			Image      )					->					str:
     __A						:			List[str]								=	hashlib.mda(image.tobytes()      )
     return m.hexdigest()[:10]






def 	_lowerCAmelCase      (  __snake_case  :			Image      )					->					Dict:
     __A						:			str								=	np.array(__snake_case      )
     __A						:			Optional[int]								=	npimg.shape
     return {"hash": hashimage(__snake_case      ), "shape": shape}







@is_pipeline_test
@require_vision
@require_torch
class 			SCREAMING_SNAKE_CASE   (unittest.TestCase							):
     lowerCAmelCase		      =	dict(
         (list(MODEL_FOR_MASK_GENERATION_MAPPING.items()							) if MODEL_FOR_MASK_GENERATION_MAPPING else [])							)
     lowerCAmelCase		      =	dict(
         (list(TF_MODEL_FOR_MASK_GENERATION_MAPPING.items()							) if TF_MODEL_FOR_MASK_GENERATION_MAPPING else [])							)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






          __A						:			List[str]								=	MaskGenerationPipeline(model=_UpperCAmelCase						,     image_processor=_UpperCAmelCase)
          return image_segmenter, [
              "./tests/fixtures/tests_samples/COCO/000000039769.png",
              "./tests/fixtures/tests_samples/COCO/000000039769.png",
          ]


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






          pass


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

          '''simple docstring'''






          pass


     @slow
     @require_torch
     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Tuple								=	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[str]								=	[]
          for i, o in enumerate(outputs['masks']):
               new_outupt += [{"mask": mask_to_test_readable(_UpperCAmelCase), "scores": outputs["scores"][i]}]

          # fmt: off
          self.assertEqual(
              nested_simplify(_UpperCAmelCase						,     decimals=4)						,     [
                  {'mask': {'hash': '115ad19f5f', 'shape': (480, 640)}, 'scores': 1.0444},
                  {'mask': {'hash': '6affa964c6', 'shape': (480, 640)}, 'scores': 1.021},
                  {'mask': {'hash': 'dfe28a0388', 'shape': (480, 640)}, 'scores': 1.0167},
                  {'mask': {'hash': 'c0a5f4a318', 'shape': (480, 640)}, 'scores': 1.0132},
                  {'mask': {'hash': 'fe8065c197', 'shape': (480, 640)}, 'scores': 1.0053},
                  {'mask': {'hash': 'e2d0b7a0b7', 'shape': (480, 640)}, 'scores': 0.9967},
                  {'mask': {'hash': '453c7844bd', 'shape': (480, 640)}, 'scores': 0.993},
                  {'mask': {'hash': '3d44f2926d', 'shape': (480, 640)}, 'scores': 0.9909},
                  {'mask': {'hash': '64033ddc3f', 'shape': (480, 640)}, 'scores': 0.9879},
                  {'mask': {'hash': '801064ff79', 'shape': (480, 640)}, 'scores': 0.9834},
                  {'mask': {'hash': '6172f276ef', 'shape': (480, 640)}, 'scores': 0.9716},
                  {'mask': {'hash': 'b49e60e084', 'shape': (480, 640)}, 'scores': 0.9612},
                  {'mask': {'hash': 'a811e775fd', 'shape': (480, 640)}, 'scores': 0.9599},
                  {'mask': {'hash': 'a6a8ebcf4b', 'shape': (480, 640)}, 'scores': 0.9552},
                  {'mask': {'hash': '9d8257e080', 'shape': (480, 640)}, 'scores': 0.9532},
                  {'mask': {'hash': '32de6454a8', 'shape': (480, 640)}, 'scores': 0.9516},
                  {'mask': {'hash': 'af3d4af2c8', 'shape': (480, 640)}, 'scores': 0.9499},
                  {'mask': {'hash': '3c6db475fb', 'shape': (480, 640)}, 'scores': 0.9483},
                  {'mask': {'hash': 'c290813fb9', 'shape': (480, 640)}, 'scores': 0.9464},
                  {'mask': {'hash': 'b6f0b8f606', 'shape': (480, 640)}, 'scores': 0.943},
                  {'mask': {'hash': '92ce16bfdf', 'shape': (480, 640)}, 'scores': 0.943},
                  {'mask': {'hash': 'c749b25868', 'shape': (480, 640)}, 'scores': 0.9408},
                  {'mask': {'hash': 'efb6cab859', 'shape': (480, 640)}, 'scores': 0.9335},
                  {'mask': {'hash': '1ff2eafb30', 'shape': (480, 640)}, 'scores': 0.9326},
                  {'mask': {'hash': '788b798e24', 'shape': (480, 640)}, 'scores': 0.9262},
                  {'mask': {'hash': 'abea804f0e', 'shape': (480, 640)}, 'scores': 0.8999},
                  {'mask': {'hash': '7b9e8ddb73', 'shape': (480, 640)}, 'scores': 0.8986},
                  {'mask': {'hash': 'cd24047c8a', 'shape': (480, 640)}, 'scores': 0.8984},
                  {'mask': {'hash': '6943e6bcbd', 'shape': (480, 640)}, 'scores': 0.8873},
                  {'mask': {'hash': 'b5f47c9191', 'shape': (480, 640)}, 'scores': 0.8871}
              ]						,     )
          # fmt: on


     @require_torch
     @slow
     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			List[str]								=	'facebook/sam-vit-huge'
          __A						:			Any								=	pipeline('mask-generation'						,     model=_UpperCAmelCase)

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

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

          self.assertEqual(
              nested_simplify(_UpperCAmelCase						,     decimals=4)						,     [
                  {'mask': {'hash': '115ad19f5f', 'shape': (480, 640)}, 'scores': 1.0444},
                  {'mask': {'hash': '6affa964c6', 'shape': (480, 640)}, 'scores': 1.0210},
                  {'mask': {'hash': 'dfe28a0388', 'shape': (480, 640)}, 'scores': 1.0167},
                  {'mask': {'hash': 'c0a5f4a318', 'shape': (480, 640)}, 'scores': 1.0132},
                  {'mask': {'hash': 'fe8065c197', 'shape': (480, 640)}, 'scores': 1.0053},
              ]						,     )






'''simple docstring'''




from collections.abc import Iterable
from typing import Any


class 			SCREAMING_SNAKE_CASE   :


     def __init__(						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          __A						:			str								=	value
          __A						:			Node | None								=	None  # Added in order to delete a node easier
          __A						:			Node | None								=	None
          __A						:			Node | None								=	None


     def __repr__(						self):

          '''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 			SCREAMING_SNAKE_CASE   :


     def __init__(						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          __A						:			int								=	root


     def __str__(						self):

          '''simple docstring'''






          return str(self.root)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






          if new_children is not None:  # reset its kids
               __A						:			Optional[int]								=	node.parent
          if node.parent is not None:  # reset its parent
               if self.is_right(_UpperCAmelCase):  # If it is the right children
                    __A						:			int								=	new_children
               else:
                    __A						:			Union[str, Any]								=	new_children
          else:
               __A						:			Tuple								=	new_children


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






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


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          return self.root is None


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          __A						:			Dict								=	Node(_UpperCAmelCase)  # create a new Node
          if self.empty():  # if Tree is empty
               __A						:			Union[str, Any]								=	new_node  # set its root
          else:  # Tree is not empty
               __A						:			Dict								=	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:
                              __A						:			Tuple								=	new_node  # We insert the new node in a leaf
                              break
                         else:
                              __A						:			str								=	parent_node.left
                    else:
                         if parent_node.right is None:
                              __A						:			List[str]								=	new_node
                              break
                         else:
                              __A						:			int								=	parent_node.right
               __A						:			int								=	parent_node


     def 							SCREAMING_SNAKE_CASE  (						self						,     *_UpperCAmelCase):

          '''simple docstring'''






          for value in values:
               self.__insert(_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          if self.empty():
               raise IndexError('Warning: Tree is empty! please use another.')
          else:
               __A						:			Any								=	self.root
               # use lazy evaluation here to avoid NoneType Attribute error
               while node is not None and node.value is not value:
                    __A						:			List[Any]								=	node.left if value < node.value else node.right
               return node


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          if node is None:
               if self.root is None:
                    return None
               __A						:			str								=	self.root

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


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          if node is None:
               __A						:			Optional[Any]								=	self.root
          if self.root is None:
               return None
          if not self.empty():
               __A						:			Optional[int]								=	self.root
               while node.left is not None:
                    __A						:			Tuple								=	node.left
          return node


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          __A						:			Optional[Any]								=	self.search(_UpperCAmelCase)  # 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(_UpperCAmelCase						,     _UpperCAmelCase)
               elif node.left is None:  # Has only right children
                    self.__reassign_nodes(_UpperCAmelCase						,     node.right)
               elif node.right is None:  # Has only left children
                    self.__reassign_nodes(_UpperCAmelCase						,     node.left)
               else:
                    __A						:			str								=	self.get_max(
                        node.left)  # Gets the max value of the left branch
                    self.remove(tmp_node.value)  # type: ignore
                    __A						:			List[Any]								=	(
                        tmp_node.value  # type: ignore
                    )  # Assigns the value to the node to delete and keep tree structure


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''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 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase=None):

          '''simple docstring'''






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


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






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


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






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






def 	_lowerCAmelCase      (  __snake_case  :			Node | None      )					->					list[Node]:
     __A						:			Tuple								=	[]
     if curr_node is not None:
          __A						:			Optional[Any]								=	postorder(curr_node.left      ) + postorder(curr_node.right      ) + [curr_node]
     return node_list






def 	_lowerCAmelCase      (  )					->					None:
     __A						:			Optional[int]								=	(8, 3, 6, 1, 10, 14, 13, 4, 7)
     __A						:			str								=	BinarySearchTree()
     for i in testlist:
          t.insert(__snake_case      )

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

     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(__snake_case      )
          print(__snake_case      )


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)