


from collections.abc import Iterable
from typing import Any




class       lowercase_					:





				def __init__(				self       ,  lowercase_ = None)  -> Dict:
											a__      =value
											a__      =None  # Added in order to delete a node easier
											a__      =None
											a__      =None





				def __repr__(				self)  -> str:
											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       lowercase_					:





				def __init__(				self       ,  lowercase_ = None)  -> int:
											a__      =root





				def __str__(				self)  -> str:
											return str(self.root)





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> None:
											if new_children is not None:  # reset its kids
																		a__      =node.parent
											if node.parent is not None:  # reset its parent
																		if self.is_right(lowercase_):  # If it is the right children
																									a__      =new_children
																		else:
																									a__      =new_children
											else:
																		a__      =new_children





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> bool:
											if node.parent and node.parent.right:
																		return node == node.parent.right
											return False





				def 						__UpperCamelCase    (				self)  -> bool:
											return self.root is None





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> None:
											a__      =Node(lowercase_)  # create a new Node
											if self.empty():  # if Tree is empty
																		a__      =new_node  # set its root
											else:  # Tree is not empty
																		a__      =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__      =new_node  # We insert the new node in a leaf
																																							break
																																else:
																																							a__      =parent_node.left
																									else:
																																if parent_node.right is None:
																																							a__      =new_node
																																							break
																																else:
																																							a__      =parent_node.right
																		a__      =parent_node





				def 						__UpperCamelCase    (				self       ,  *lowercase_)  -> None:
											for value in values:
																		self.__insert(lowercase_)





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> Node | None:
											if self.empty():
																		raise IndexError('Warning: Tree is empty! please use another.')
											else:
																		a__      =self.root
																		# use lazy evaluation here to avoid NoneType Attribute error
																		while node is not None and node.value is not value:
																									a__      =node.left if value < node.value else node.right
																		return node





				def 						__UpperCamelCase    (				self       ,  lowercase_ = None)  -> Node | None:
											if node is None:
																		if self.root is None:
																									return None
																		a__      =self.root

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





				def 						__UpperCamelCase    (				self       ,  lowercase_ = None)  -> Node | None:
											if node is None:
																		a__      =self.root
											if self.root is None:
																		return None
											if not self.empty():
																		a__      =self.root
																		while node.left is not None:
																									a__      =node.left
											return node





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> None:
											a__      =self.search(lowercase_)  # 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(lowercase_       ,  lowercase_)
																		elif node.left is None:  # Has only right children
																									self.__reassign_nodes(lowercase_       ,  node.right)
																		elif node.right is None:  # Has only left children
																									self.__reassign_nodes(lowercase_       ,  node.left)
																		else:
																									a__      =self.get_max(
																									    node.left)  # Gets the max value of the left branch
																									self.remove(tmp_node.value)  # type: ignore
																									a__      =(
																									    tmp_node.value  # type: ignore
																									)  # Assigns the value to the node to delete and keep tree structure





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> Iterable:
											if node is not None:
																		yield node  # Preorder Traversal
																		yield from self.preorder_traverse(node.left)
																		yield from self.preorder_traverse(node.right)





				def 						__UpperCamelCase    (				self       ,  lowercase_=None)  -> Any:
											if traversal_function is None:
																		return self.preorder_traverse(self.root)
											else:
																		return traversal_function(self.root)





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> None:
											if node:
																		self.inorder(lowercase_       ,  node.left)
																		arr.append(node.value)
																		self.inorder(lowercase_       ,  node.right)





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> int:
											a__      =[]
											self.inorder(lowercase_       ,  lowercase_)  # append all values to list using inorder traversal
											return arr[k - 1]







def   _lowercase(					__a				:						Node | None     ):
							a__      =[]
							if curr_node is not None:
														a__      =postorder(curr_node.left     ) + postorder(curr_node.right     ) + [curr_node]
							return node_list






def   _lowercase(					):
							a__      =(8, 3, 6, 1, 10, 14, 13, 4, 7)
							a__      =BinarySearchTree()
							for i in testlist:
														t.insert(__a     )

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

							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(__a     )
														print(__a     )


if __name__ == "__main__":
	import doctest

	doctest.testmod(verbose=True)





"""simple docstring"""


import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
   from PIL import Image

   from transformers import AlignProcessor, EfficientNetImageProcessor

@require_vision
class 				_SCREAMING_SNAKE_CASE				(							unittest.TestCase  ):
   """simple docstring"""



   def 					UpperCAmelCase__(						self						)      ->							Tuple:
    lowercase__       :       str				=						tempfile.mkdtemp()

    lowercase__       :       List[Any]				=						[
        """[UNK]""",
        """[CLS]""",
        """[SEP]""",
        """[PAD]""",
        """[MASK]""",
        """want""",
        """##want""",
        """##ed""",
        """wa""",
        """un""",
        """runn""",
        """##ing""",
        """,""",
        """low""",
        """lowest""",
    ]
    lowercase__       :       str				=						os.path.join(self.tmpdirname ,     VOCAB_FILES_NAMES["""vocab_file"""]						)
    with open(self.vocab_file ,     """w""" ,     encoding="""utf-8"""						) as vocab_writer:
     vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)

    lowercase__       :       Optional[Any]				=						{
        """do_resize""": True,
        """size""": 20,
        """do_center_crop""": True,
        """crop_size""": 18,
        """do_normalize""": True,
        """image_mean""": [0.4814_5466, 0.457_8275, 0.4082_1073],
        """image_std""": [0.2686_2954, 0.2613_0258, 0.2757_7711],
    }
    lowercase__       :       Any				=						os.path.join(self.tmpdirname ,     lowerCamelCase__						)
    with open(self.image_processor_file ,     """w""" ,     encoding="""utf-8"""						) as fp:
     json.dump(lowerCamelCase__ ,     lowerCamelCase__						)


   def 					UpperCAmelCase__(						self ,     **lowerCamelCase__						)      ->							str:
    return BertTokenizer.from_pretrained(self.tmpdirname ,     **lowerCamelCase__						)


   def 					UpperCAmelCase__(						self ,     **lowerCamelCase__						)      ->							str:
    return BertTokenizerFast.from_pretrained(self.tmpdirname ,     **lowerCamelCase__						)


   def 					UpperCAmelCase__(						self ,     **lowerCamelCase__						)      ->							List[Any]:
    return EfficientNetImageProcessor.from_pretrained(self.tmpdirname ,     **lowerCamelCase__						)


   def 					UpperCAmelCase__(						self						)      ->							Any:
    shutil.rmtree(self.tmpdirname						)


   def 					UpperCAmelCase__(						self						)      ->							Optional[int]:
    lowercase__       :       Tuple				=						[np.random.randint(255 ,     size=(3, 30, 400) ,     dtype=np.uinta						)]
    lowercase__       :       Any				=						[Image.fromarray(np.moveaxis(lowerCamelCase__ ,     0 ,     -1						)						) for x in image_inputs]
    return image_inputs


   def 					UpperCAmelCase__(						self						)      ->							int:
    lowercase__       :       Union[str, Any]				=						self.get_tokenizer()
    lowercase__       :       Union[str, Any]				=						self.get_rust_tokenizer()
    lowercase__       :       Any				=						self.get_image_processor()

    lowercase__       :       Union[str, Any]				=						AlignProcessor(tokenizer=lowerCamelCase__ ,     image_processor=lowerCamelCase__						)
    processor_slow.save_pretrained(self.tmpdirname						)
    lowercase__       :       Tuple				=						AlignProcessor.from_pretrained(self.tmpdirname ,     use_fast=lowerCamelCase__						)

    lowercase__       :       List[Any]				=						AlignProcessor(tokenizer=lowerCamelCase__ ,     image_processor=lowerCamelCase__						)
    processor_fast.save_pretrained(self.tmpdirname						)
    lowercase__       :       str				=						AlignProcessor.from_pretrained(self.tmpdirname						)

    self.assertEqual(processor_slow.tokenizer.get_vocab() ,     tokenizer_slow.get_vocab()						)
    self.assertEqual(processor_fast.tokenizer.get_vocab() ,     tokenizer_fast.get_vocab()						)
    self.assertEqual(tokenizer_slow.get_vocab() ,     tokenizer_fast.get_vocab()						)
    self.assertIsInstance(processor_slow.tokenizer ,     lowerCamelCase__						)
    self.assertIsInstance(processor_fast.tokenizer ,     lowerCamelCase__						)

    self.assertEqual(processor_slow.image_processor.to_json_string() ,     image_processor.to_json_string()						)
    self.assertEqual(processor_fast.image_processor.to_json_string() ,     image_processor.to_json_string()						)
    self.assertIsInstance(processor_slow.image_processor ,     lowerCamelCase__						)
    self.assertIsInstance(processor_fast.image_processor ,     lowerCamelCase__						)


   def 					UpperCAmelCase__(						self						)      ->							int:
    lowercase__       :       Optional[int]				=						AlignProcessor(tokenizer=self.get_tokenizer() ,     image_processor=self.get_image_processor()						)
    processor.save_pretrained(self.tmpdirname						)

    lowercase__       :       Dict				=						self.get_tokenizer(bos_token="""(BOS)""" ,     eos_token="""(EOS)"""						)
    lowercase__       :       Any				=						self.get_image_processor(do_normalize=lowerCamelCase__ ,     padding_value=1.0						)

    lowercase__       :       Union[str, Any]				=						AlignProcessor.from_pretrained(
        self.tmpdirname ,     bos_token="""(BOS)""" ,     eos_token="""(EOS)""" ,     do_normalize=lowerCamelCase__ ,     padding_value=1.0						)

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

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


   def 					UpperCAmelCase__(						self						)      ->							Tuple:
    lowercase__       :       Optional[int]				=						self.get_image_processor()
    lowercase__       :       Dict				=						self.get_tokenizer()

    lowercase__       :       Tuple				=						AlignProcessor(tokenizer=lowerCamelCase__ ,     image_processor=lowerCamelCase__						)

    lowercase__       :       Optional[int]				=						self.prepare_image_inputs()

    lowercase__       :       Tuple				=						image_processor(lowerCamelCase__ ,     return_tensors="""np"""						)
    lowercase__       :       str				=						processor(images=lowerCamelCase__ ,     return_tensors="""np"""						)

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


   def 					UpperCAmelCase__(						self						)      ->							List[str]:
    lowercase__       :       Union[str, Any]				=						self.get_image_processor()
    lowercase__       :       Tuple				=						self.get_tokenizer()

    lowercase__       :       List[str]				=						AlignProcessor(tokenizer=lowerCamelCase__ ,     image_processor=lowerCamelCase__						)

    lowercase__       :       Any				=						"""lower newer"""

    lowercase__       :       List[Any]				=						processor(text=lowerCamelCase__						)

    lowercase__       :       Tuple				=						tokenizer(lowerCamelCase__ ,     padding="""max_length""" ,     max_length=64						)

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


   def 					UpperCAmelCase__(						self						)      ->							str:
    lowercase__       :       List[Any]				=						self.get_image_processor()
    lowercase__       :       Any				=						self.get_tokenizer()

    lowercase__       :       Union[str, Any]				=						AlignProcessor(tokenizer=lowerCamelCase__ ,     image_processor=lowerCamelCase__						)

    lowercase__       :       List[Any]				=						"""lower newer"""
    lowercase__       :       List[str]				=						self.prepare_image_inputs()

    lowercase__       :       List[Any]				=						processor(text=lowerCamelCase__ ,     images=lowerCamelCase__						)

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

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


   def 					UpperCAmelCase__(						self						)      ->							Union[str, Any]:
    lowercase__       :       int				=						self.get_image_processor()
    lowercase__       :       Union[str, Any]				=						self.get_tokenizer()

    lowercase__       :       Tuple				=						AlignProcessor(tokenizer=lowerCamelCase__ ,     image_processor=lowerCamelCase__						)

    lowercase__       :       Union[str, Any]				=						[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

    lowercase__       :       Tuple				=						processor.batch_decode(lowerCamelCase__						)
    lowercase__       :       Optional[Any]				=						tokenizer.batch_decode(lowerCamelCase__						)

    self.assertListEqual(lowerCamelCase__ ,     lowerCamelCase__						)







   def 					UpperCAmelCase__(						self						)      ->							List[Any]:
    lowercase__       :       List[str]				=						self.get_image_processor()
    lowercase__       :       Optional[Any]				=						self.get_tokenizer()

    lowercase__       :       Optional[int]				=						AlignProcessor(tokenizer=lowerCamelCase__ ,     image_processor=lowerCamelCase__						)

    lowercase__       :       str				=						"""lower newer"""
    lowercase__       :       List[Any]				=						self.prepare_image_inputs()

    lowercase__       :       int				=						processor(text=lowerCamelCase__ ,     images=lowerCamelCase__						)

    self.assertListEqual(list(inputs.keys()						) ,     processor.model_input_names						)