
from __future__ import annotations

import unittest
from collections.abc import Iterator





class 							A__	:
      def __init__(   self					,						__magic_name__					,						__magic_name__   ):
       lowerCamelCase	:			int           =   label
       lowerCamelCase	:			int           =   parent
       lowerCamelCase	:			Node | None           =   None
       lowerCamelCase	:			Node | None           =   None





class 							A__	:
      def __init__(   self   ):
       lowerCamelCase	:			Node | None           =   None
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			List[Any]           =   None
      def 		UpperCamelCase__							(   self   ):
       return self.root is None
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       lowerCamelCase	:			Tuple           =   self._put(self.root					,						__magic_name__   )
      def 		UpperCamelCase__							(   self					,						__magic_name__					,						__magic_name__					,						__magic_name__ = None   ):
       if node is None:
        lowerCamelCase	:			Tuple           =   Node(__magic_name__					,						__magic_name__   )
       else:
        if label < node.label:
         lowerCamelCase	:			List[str]           =   self._put(node.left					,						__magic_name__					,						__magic_name__   )
        elif label > node.label:
         lowerCamelCase	:			Any           =   self._put(node.right					,						__magic_name__					,						__magic_name__   )
        else:
         lowerCamelCase	:			List[str]           =   F'''Node with label {label} already exists'''
         raise Exception(__magic_name__   )

       return node
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       return self._search(self.root					,						__magic_name__   )
      def 		UpperCamelCase__							(   self					,						__magic_name__					,						__magic_name__   ):
       if node is None:
        lowerCamelCase	:			Tuple           =   F'''Node with label {label} does not exist'''
        raise Exception(__magic_name__   )
       else:
        if label < node.label:
         lowerCamelCase	:			List[Any]           =   self._search(node.left					,						__magic_name__   )
        elif label > node.label:
         lowerCamelCase	:			Tuple           =   self._search(node.right					,						__magic_name__   )

       return node
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       lowerCamelCase	:			Union[str, Any]           =   self.search(__magic_name__   )
       if node.right and node.left:
        lowerCamelCase	:			Optional[int]           =   self._get_lowest_node(node.right   )
        lowerCamelCase	:			Optional[Any]           =   node.left
        lowerCamelCase	:			str           =   node.right
        lowerCamelCase	:			Optional[Any]           =   lowest_node
        if node.right:
         lowerCamelCase	:			Tuple           =   lowest_node
        self._reassign_nodes(__magic_name__					,						__magic_name__   )
       elif not node.right and node.left:
        self._reassign_nodes(__magic_name__					,						node.left   )
       elif node.right and not node.left:
        self._reassign_nodes(__magic_name__					,						node.right   )
       else:
        self._reassign_nodes(__magic_name__					,						__magic_name__   )
      def 		UpperCamelCase__							(   self					,						__magic_name__					,						__magic_name__   ):
       if new_children:
        lowerCamelCase	:			Tuple           =   node.parent

       if node.parent:
        if node.parent.right == node:
         lowerCamelCase	:			List[Any]           =   new_children
        else:
         lowerCamelCase	:			List[Any]           =   new_children
       else:
        lowerCamelCase	:			Optional[int]           =   new_children
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       if node.left:
        lowerCamelCase	:			Optional[Any]           =   self._get_lowest_node(node.left   )
       else:
        lowerCamelCase	:			List[str]           =   node
        self._reassign_nodes(__magic_name__					,						node.right   )

       return lowest_node
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       try:
        self.search(__magic_name__   )
        return True
       except Exception:
        return False
      def 		UpperCamelCase__							(   self   ):
       if self.root is None:
        raise Exception("""Binary search tree is empty"""   )

       lowerCamelCase	:			int           =   self.root
       while node.right is not None:
        lowerCamelCase	:			Tuple           =   node.right

       return node.label
      def 		UpperCamelCase__							(   self   ):
       if self.root is None:
        raise Exception("""Binary search tree is empty"""   )

       lowerCamelCase	:			Optional[int]           =   self.root
       while node.left is not None:
        lowerCamelCase	:			Optional[Any]           =   node.left

       return node.label
      def 		UpperCamelCase__							(   self   ):
       return self._inorder_traversal(self.root   )
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       if node is not None:
        yield from self._inorder_traversal(node.left   )
        yield node
        yield from self._inorder_traversal(node.right   )
      def 		UpperCamelCase__							(   self   ):
       return self._preorder_traversal(self.root   )






      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       if node is not None:
        yield node
        yield from self._preorder_traversal(node.left   )
        yield from self._preorder_traversal(node.right   )





class 							A__	(			unittest.TestCase):
      @staticmethod
      def 		UpperCamelCase__							(   ):
       lowerCamelCase	:			Any           =   BinarySearchTree()
       t.put(8   )
       t.put(3   )
       t.put(6   )
       t.put(1   )
       t.put(1_0   )
       t.put(1_4   )
       t.put(1_3   )
       t.put(4   )
       t.put(7   )
       t.put(5   )

       return t
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			Dict           =   BinarySearchTree()
       assert t.is_empty()

       t.put(8   )
       assert t.root is not None
       assert t.root.parent is None
       assert t.root.label == 8

       t.put(1_0   )
       assert t.root.right is not None
       assert t.root.right.parent == t.root
       assert t.root.right.label == 1_0

       t.put(3   )
       assert t.root.left is not None
       assert t.root.left.parent == t.root
       assert t.root.left.label == 3

       t.put(6   )
       assert t.root.left.right is not None
       assert t.root.left.right.parent == t.root.left
       assert t.root.left.right.label == 6

       t.put(1   )
       assert t.root.left.left is not None
       assert t.root.left.left.parent == t.root.left
       assert t.root.left.left.label == 1

       with self.assertRaises(__magic_name__   ):  # noqa: B017
        t.put(1   )
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			Optional[int]           =   self._get_binary_search_tree()

       lowerCamelCase	:			List[Any]           =   t.search(6   )
       assert node.label == 6

       lowerCamelCase	:			List[str]           =   t.search(1_3   )
       assert node.label == 1_3

       with self.assertRaises(__magic_name__   ):  # noqa: B017
        t.search(2   )
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			str           =   self._get_binary_search_tree()

       t.remove(1_3   )
       assert t.root is not None
       assert t.root.right is not None
       assert t.root.right.right is not None
       assert t.root.right.right.right is None
       assert t.root.right.right.left is None

       t.remove(7   )
       assert t.root.left is not None
       assert t.root.left.right is not None
       assert t.root.left.right.left is not None
       assert t.root.left.right.right is None
       assert t.root.left.right.left.label == 4

       t.remove(6   )
       assert t.root.left.left is not None
       assert t.root.left.right.right is not None
       assert t.root.left.left.label == 1
       assert t.root.left.right.label == 4
       assert t.root.left.right.right.label == 5
       assert t.root.left.right.left is None
       assert t.root.left.left.parent == t.root.left
       assert t.root.left.right.parent == t.root.left

       t.remove(3   )
       assert t.root is not None
       assert t.root.left.label == 4
       assert t.root.left.right.label == 5
       assert t.root.left.left.label == 1
       assert t.root.left.parent == t.root
       assert t.root.left.left.parent == t.root.left
       assert t.root.left.right.parent == t.root.left

       t.remove(4   )
       assert t.root.left is not None
       assert t.root.left.left is not None
       assert t.root.left.label == 5
       assert t.root.left.right is None
       assert t.root.left.left.label == 1
       assert t.root.left.parent == t.root
       assert t.root.left.left.parent == t.root.left
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			int           =   self._get_binary_search_tree()

       t.remove(3   )
       assert t.root is not None
       assert t.root.left is not None
       assert t.root.left.left is not None
       assert t.root.left.right is not None
       assert t.root.left.right.left is not None
       assert t.root.left.right.right is not None
       assert t.root.left.label == 4
       assert t.root.left.right.label == 6
       assert t.root.left.left.label == 1
       assert t.root.left.right.right.label == 7
       assert t.root.left.right.left.label == 5
       assert t.root.left.parent == t.root
       assert t.root.left.right.parent == t.root.left
       assert t.root.left.left.parent == t.root.left
       assert t.root.left.right.left.parent == t.root.left.right
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			Optional[int]           =   self._get_binary_search_tree()
       t.empty()
       assert t.root is None
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			Optional[Any]           =   self._get_binary_search_tree()
       assert not t.is_empty()

       t.empty()
       assert t.is_empty()
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			List[str]           =   self._get_binary_search_tree()

       assert t.exists(6   )
       assert not t.exists(-1   )
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			Dict           =   self._get_binary_search_tree()

       assert t.get_max_label() == 1_4

       t.empty()
       with self.assertRaises(__magic_name__   ):  # noqa: B017
        t.get_max_label()
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			List[Any]           =   self._get_binary_search_tree()

       assert t.get_min_label() == 1

       t.empty()
       with self.assertRaises(__magic_name__   ):  # noqa: B017
        t.get_min_label()
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			Optional[int]           =   self._get_binary_search_tree()

       lowerCamelCase	:			Optional[Any]           =   [i.label for i in t.inorder_traversal()]
       assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 1_0, 1_3, 1_4]






      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			List[str]           =   self._get_binary_search_tree()

       lowerCamelCase	:			List[Any]           =   [i.label for i in t.preorder_traversal()]
       assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 1_0, 1_4, 1_3]





def 					_a      (		):
 lowerCamelCase	:			Any           =   BinarySearchTree()
 t.put(8							)
 t.put(3							)
 t.put(6							)
 t.put(1							)
 t.put(10							)
 t.put(14							)
 t.put(13							)
 t.put(4							)
 t.put(7							)
 t.put(5							)

 print(
     """
            8
           / \\
          3   10
         / \\    \\
        1   6    14
           / \\   /
          4   7 13
           \\
            5
        """							)

 print("""Label 6 exists:""",			t.exists(6							)							)
 print("""Label 13 exists:""",			t.exists(13							)							)
 print("""Label -1 exists:""",			t.exists(-1							)							)
 print("""Label 12 exists:""",			t.exists(12							)							)

 # Prints all the elements of the list in inorder traversal
 lowerCamelCase	:			List[Any]           =   [i.label for i in t.inorder_traversal()]
 print("""Inorder traversal:""",			lowerCamelCase							)

 # Prints all the elements of the list in preorder traversal
 lowerCamelCase	:			Optional[Any]           =   [i.label for i in t.preorder_traversal()]
 print("""Preorder traversal:""",			lowerCamelCase							)

 print("""Max. label:""",			t.get_max_label()							)
 print("""Min. label:""",			t.get_min_label()							)

 # Delete elements
 print("""\nDeleting elements 13, 10, 8, 3, 6, 14"""							)
 print(
     """
          4
         / \\
        1   7
             \\
              5
        """							)
 t.remove(13							)
 t.remove(10							)
 t.remove(8							)
 t.remove(3							)
 t.remove(6							)
 t.remove(14							)

 # Prints all the elements of the list in inorder traversal after delete
 lowerCamelCase	:			List[str]           =   [i.label for i in t.inorder_traversal()]
 print("""Inorder traversal after delete:""",			lowerCamelCase							)

 # Prints all the elements of the list in preorder traversal after delete
 lowerCamelCase	:			Dict           =   [i.label for i in t.preorder_traversal()]
 print("""Preorder traversal after delete:""",			lowerCamelCase							)

 print("""Max. label:""",			t.get_max_label()							)
 print("""Min. label:""",			t.get_min_label()							)


if __name__ == "__main__":
      binary_search_tree_example()






from typing import List

from ...processing_utils import ProcessorMixin
from ...utils import is_torch_available


if is_torch_available():
      import torch





class 							A__	(			__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase       :					Optional[int]					 =    ["""image_processor""", """tokenizer"""]
      _UpperCAmelCase       :					List[Any]					 =    """OneFormerImageProcessor"""
      _UpperCAmelCase       :					Optional[int]					 =    ("""CLIPTokenizer""", """CLIPTokenizerFast""")
      def __init__(   self					,						__magic_name__=None					,						__magic_name__=None					,						__magic_name__ = 7_7					,						__magic_name__ = 7_7					,						**__magic_name__   ):
       if image_processor is None:
        raise ValueError("""You need to specify an `image_processor`."""   )
       if tokenizer is None:
        raise ValueError("""You need to specify a `tokenizer`."""   )

       lowerCamelCase	:			List[Any]           =   max_seq_length
       lowerCamelCase	:			Dict           =   task_seq_length

       super().__init__(__magic_name__					,						__magic_name__   )
      def 		UpperCamelCase__							(   self					,						__magic_name__=None					,						__magic_name__=7_7   ):
       if text_list is None:
        raise ValueError("""tokens cannot be None."""   )

       lowerCamelCase	:			Tuple           =   self.tokenizer(__magic_name__					,						padding="""max_length"""					,						max_length=__magic_name__					,						truncation=__magic_name__   )

       lowerCamelCase    ,					lowerCamelCase	:			int           =   tokens["""attention_mask"""], tokens["""input_ids"""]

       lowerCamelCase	:			List[str]           =   []
       for attn_mask, input_id in zip(__magic_name__					,						__magic_name__   ):
        lowerCamelCase	:			Optional[int]           =   torch.tensor(__magic_name__   ) * torch.tensor(__magic_name__   )
        token_inputs.append(token.unsqueeze(0   )   )

       lowerCamelCase	:			Optional[Any]           =   torch.cat(__magic_name__					,						dim=0   )
       return token_inputs
      def __call__(   self					,						__magic_name__=None					,						__magic_name__=None					,						__magic_name__=None					,						**__magic_name__   ):

       if task_inputs is None:
        raise ValueError("""You have to specify the task_input. Found None."""   )
       elif images is None:
        raise ValueError("""You have to specify the image. Found None."""   )

       if not all(task in ["""semantic""", """instance""", """panoptic"""] for task in task_inputs   ):
        raise ValueError("""task_inputs must be semantic, instance, or panoptic."""   )

       lowerCamelCase	:			Any           =   self.image_processor(__magic_name__					,						__magic_name__					,						__magic_name__					,						**__magic_name__   )

       if isinstance(__magic_name__					,						__magic_name__   ):
        lowerCamelCase	:			List[str]           =   [task_inputs]

       if isinstance(__magic_name__					,						__magic_name__   ) and all(isinstance(__magic_name__					,						__magic_name__   ) for task_input in task_inputs   ):
        lowerCamelCase	:			int           =   []
        for task in task_inputs:
         lowerCamelCase	:			int           =   F'''the task is {task}'''
         task_token_inputs.append(__magic_name__   )
        lowerCamelCase	:			Union[str, Any]           =   self._preprocess_text(__magic_name__					,						max_length=self.task_seq_length   )
       else:
        raise TypeError("""Task Inputs should be a string or a list of strings."""   )

       if hasattr(__magic_name__					,						"""text_inputs"""   ):
        lowerCamelCase	:			List[str]           =   encoded_inputs.text_inputs

        lowerCamelCase	:			str           =   []
        for texts in texts_list:
         lowerCamelCase	:			int           =   self._preprocess_text(__magic_name__					,						max_length=self.max_seq_length   )
         text_inputs.append(text_input_list.unsqueeze(0   )   )

        lowerCamelCase	:			int           =   torch.cat(__magic_name__					,						dim=0   )

       return encoded_inputs
      def 		UpperCamelCase__							(   self					,						__magic_name__=None					,						__magic_name__=None					,						__magic_name__=None					,						**__magic_name__   ):

       if task_inputs is None:
        raise ValueError("""You have to specify the task_input. Found None."""   )
       elif images is None:
        raise ValueError("""You have to specify the image. Found None."""   )

       if not all(task in ["""semantic""", """instance""", """panoptic"""] for task in task_inputs   ):
        raise ValueError("""task_inputs must be semantic, instance, or panoptic."""   )

       lowerCamelCase	:			List[Any]           =   self.image_processor.encode_inputs(__magic_name__					,						__magic_name__					,						__magic_name__					,						**__magic_name__   )

       if isinstance(__magic_name__					,						__magic_name__   ):
        lowerCamelCase	:			int           =   [task_inputs]

       if isinstance(__magic_name__					,						__magic_name__   ) and all(isinstance(__magic_name__					,						__magic_name__   ) for task_input in task_inputs   ):
        lowerCamelCase	:			Union[str, Any]           =   []
        for task in task_inputs:
         lowerCamelCase	:			Optional[int]           =   F'''the task is {task}'''
         task_token_inputs.append(__magic_name__   )
        lowerCamelCase	:			Tuple           =   self._preprocess_text(__magic_name__					,						max_length=self.task_seq_length   )
       else:
        raise TypeError("""Task Inputs should be a string or a list of strings."""   )

       if hasattr(__magic_name__					,						"""text_inputs"""   ):
        lowerCamelCase	:			int           =   encoded_inputs.text_inputs

        lowerCamelCase	:			Dict           =   []
        for texts in texts_list:
         lowerCamelCase	:			Union[str, Any]           =   self._preprocess_text(__magic_name__					,						max_length=self.max_seq_length   )
         text_inputs.append(text_input_list.unsqueeze(0   )   )

        lowerCamelCase	:			Optional[int]           =   torch.cat(__magic_name__					,						dim=0   )

       return encoded_inputs
      def 		UpperCamelCase__							(   self					,						*__magic_name__					,						**__magic_name__   ):
       return self.image_processor.post_process_semantic_segmentation(*__magic_name__					,						**__magic_name__   )
      def 		UpperCamelCase__							(   self					,						*__magic_name__					,						**__magic_name__   ):
       return self.image_processor.post_process_instance_segmentation(*__magic_name__					,						**__magic_name__   )






      def 		UpperCamelCase__							(   self					,						*__magic_name__					,						**__magic_name__   ):
       return self.image_processor.post_process_panoptic_segmentation(*__magic_name__					,						**__magic_name__   )




