





'''simple docstring'''




from collections.abc import Iterable
from typing import Any


class  SCREAMING_SNAKE_CASE    :


     def __init__(						self						,	_UpperCAmelCase = None):

          '''simple docstring'''






          __A						: Optional[Any]      =       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						: List[str]      =       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						: str      =       new_children
               else:
                    __A						: List[Any]      =       new_children
          else:
               __A						: int      =       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						: Optional[Any]      =       Node(_UpperCAmelCase)  # create a new Node
          if self.empty():  # if Tree is empty
               __A						: List[Any]      =       new_node  # set its root
          else:  # Tree is not empty
               __A						: Any      =       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						: Optional[Any]      =       new_node  # We insert the new node in a leaf
                              break
                         else:
                              __A						: List[Any]      =       parent_node.left
                    else:
                         if parent_node.right is None:
                              __A						: Any      =       new_node
                              break
                         else:
                              __A						: Optional[Any]      =       parent_node.right
               __A						: str      =       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						: Dict      =       self.root
               # use lazy evaluation here to avoid NoneType Attribute error
               while node is not None and node.value is not value:
                    __A						: Tuple      =       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						: Dict      =       self.root

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


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase):

          '''simple docstring'''






          __A						: 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						: Optional[int]      =       self.get_max(
                        node.left)  # Gets the max value of the left branch
                    self.remove(tmp_node.value)  # type: ignore
                    __A						: 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						: str      =       []
     if curr_node is not None:
          __A						: Union[str, Any]      =       postorder(curr_node.left			) + postorder(curr_node.right			) + [curr_node]
     return node_list






def        _lowerCAmelCase			(  )     ->     None:
     __A						: str      =       (8, 3, 6, 1, 10, 14, 13, 4, 7)
     __A						: Tuple      =       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)






'''simple docstring'''




import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
  from PIL import Image

  from transformers import AutoProcessor, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast


@require_vision
class  SCREAMING_SNAKE_CASE    (unittest.TestCase							):


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Dict      =       tempfile.mkdtemp()

          __A						: Optional[int]      =       BlipImageProcessor()
          __A						: List[str]      =       BertTokenizer.from_pretrained('hf-internal-testing/tiny-random-BertModel')

          __A						: Any      =       BlipProcessor(_UpperCAmelCase						,	_UpperCAmelCase)

          processor.save_pretrained(self.tmpdirname)


     def 							SCREAMING_SNAKE_CASE  (						self						,	**_UpperCAmelCase):

          '''simple docstring'''






          return AutoProcessor.from_pretrained(self.tmpdirname						,	**_UpperCAmelCase).tokenizer


     def 							SCREAMING_SNAKE_CASE  (						self						,	**_UpperCAmelCase):

          '''simple docstring'''






          return AutoProcessor.from_pretrained(self.tmpdirname						,	**_UpperCAmelCase).image_processor


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          shutil.rmtree(self.tmpdirname)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: int      =       [np.random.randint(255						,	size=(3, 30, 400)						,	dtype=np.uinta)]

          __A						: Union[str, Any]      =       [Image.fromarray(np.moveaxis(_UpperCAmelCase						,	0						,	-1)) for x in image_inputs]

          return image_inputs


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: int      =       BlipProcessor(tokenizer=self.get_tokenizer()						,	image_processor=self.get_image_processor())
          processor.save_pretrained(self.tmpdirname)

          __A						: int      =       self.get_tokenizer(bos_token='(BOS)'						,	eos_token='(EOS)')
          __A						: List[Any]      =       self.get_image_processor(do_normalize=_UpperCAmelCase						,	padding_value=1.0)

          __A						: Tuple      =       BlipProcessor.from_pretrained(
              self.tmpdirname						,	bos_token='(BOS)'						,	eos_token='(EOS)'						,	do_normalize=_UpperCAmelCase						,	padding_value=1.0)

          self.assertEqual(processor.tokenizer.get_vocab()						,	tokenizer_add_kwargs.get_vocab())
          self.assertIsInstance(processor.tokenizer						,	_UpperCAmelCase)

          self.assertEqual(processor.image_processor.to_json_string()						,	image_processor_add_kwargs.to_json_string())
          self.assertIsInstance(processor.image_processor						,	_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: List[str]      =       self.get_image_processor()
          __A						: str      =       self.get_tokenizer()

          __A						: int      =       BlipProcessor(tokenizer=_UpperCAmelCase						,	image_processor=_UpperCAmelCase)

          __A						: List[str]      =       self.prepare_image_inputs()

          __A						: str      =       image_processor(_UpperCAmelCase						,	return_tensors='np')
          __A						: str      =       processor(images=_UpperCAmelCase						,	return_tensors='np')

          for key in input_feat_extract.keys():
               self.assertAlmostEqual(input_feat_extract[key].sum()						,	input_processor[key].sum()						,	delta=1e-2)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Any      =       self.get_image_processor()
          __A						: Tuple      =       self.get_tokenizer()

          __A						: Union[str, Any]      =       BlipProcessor(tokenizer=_UpperCAmelCase						,	image_processor=_UpperCAmelCase)

          __A						: str      =       'lower newer'

          __A						: Dict      =       processor(text=_UpperCAmelCase)

          __A						: Tuple      =       tokenizer(_UpperCAmelCase						,	return_token_type_ids=_UpperCAmelCase)

          for key in encoded_tok.keys():
               self.assertListEqual(encoded_tok[key]						,	encoded_processor[key])


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: List[Any]      =       self.get_image_processor()
          __A						: Optional[Any]      =       self.get_tokenizer()

          __A						: Optional[Any]      =       BlipProcessor(tokenizer=_UpperCAmelCase						,	image_processor=_UpperCAmelCase)

          __A						: Dict      =       'lower newer'
          __A						: int      =       self.prepare_image_inputs()

          __A						: List[Any]      =       processor(text=_UpperCAmelCase						,	images=_UpperCAmelCase)

          self.assertListEqual(list(inputs.keys())						,	['pixel_values', 'input_ids', 'attention_mask'])

          # test if it raises when no input is passed
          with pytest.raises(_UpperCAmelCase):
               processor()


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Union[str, Any]      =       self.get_image_processor()
          __A						: Optional[Any]      =       self.get_tokenizer()

          __A						: Union[str, Any]      =       BlipProcessor(tokenizer=_UpperCAmelCase						,	image_processor=_UpperCAmelCase)

          __A						: Tuple      =       [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          __A						: List[str]      =       processor.batch_decode(_UpperCAmelCase)
          __A						: List[str]      =       tokenizer.batch_decode(_UpperCAmelCase)

          self.assertListEqual(_UpperCAmelCase						,	_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Any      =       self.get_image_processor()
          __A						: Union[str, Any]      =       self.get_tokenizer()

          __A						: Optional[Any]      =       BlipProcessor(tokenizer=_UpperCAmelCase						,	image_processor=_UpperCAmelCase)

          __A						: str      =       'lower newer'
          __A						: str      =       self.prepare_image_inputs()

          __A						: Optional[int]      =       processor(text=_UpperCAmelCase						,	images=_UpperCAmelCase)

          # For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
          self.assertListEqual(list(inputs.keys())						,	['pixel_values', 'input_ids', 'attention_mask'])