



from collections.abc import Iterable
from typing import Any






class SCREAMING_SNAKE_CASE__					:




    '''simple docstring'''






    def __init__(	self,		lowerCamelCase__ = None		):
        A			:	Optional[int]										=       value
        A			:	Node | None										=       None  # Added in order to delete a node easier
        A			:	Node | None										=       None
        A			:	Node | None										=       None






    def __repr__(	self		):
        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__					:




    '''simple docstring'''






    def __init__(	self,		lowerCamelCase__ = None		):
        A			:	int										=       root






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






    def       _lowerCAmelCase (	self,		lowerCamelCase__,		lowerCamelCase__		):
        if new_children is not None:  # reset its kids
            A			:	Tuple										=       node.parent
        if node.parent is not None:  # reset its parent
            if self.is_right(lowerCamelCase__		):  # If it is the right children
                A			:	Optional[int]										=       new_children
            else:
                A			:	Optional[Any]										=       new_children
        else:
            A			:	Dict										=       new_children






    def       _lowerCAmelCase (	self,		lowerCamelCase__		):
        if node.parent and node.parent.right:
            return node == node.parent.right
        return False






    def       _lowerCAmelCase (	self		):
        return self.root is None






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






    def       _lowerCAmelCase (	self,		*lowerCamelCase__		):
        for value in values:
            self.__insert(lowerCamelCase__		)






    def       _lowerCAmelCase (	self,		lowerCamelCase__		):
        if self.empty():
            raise IndexError("""Warning: Tree is empty! please use another."""		)
        else:
            A			:	Tuple										=       self.root
            # use lazy evaluation here to avoid NoneType Attribute error
            while node is not None and node.value is not value:
                A			:	Optional[int]										=       node.left if value < node.value else node.right
            return node






    def       _lowerCAmelCase (	self,		lowerCamelCase__ = None		):
        if node is None:
            if self.root is None:
                return None
            A			:	Union[str, Any]										=       self.root

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






    def       _lowerCAmelCase (	self,		lowerCamelCase__ = None		):
        if node is None:
            A			:	str										=       self.root
        if self.root is None:
            return None
        if not self.empty():
            A			:	Optional[Any]										=       self.root
            while node.left is not None:
                A			:	List[Any]										=       node.left
        return node






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






    def       _lowerCAmelCase (	self,		lowerCamelCase__		):
        if node is not None:
            yield node  # Preorder Traversal
            yield from self.preorder_traverse(node.left		)
            yield from self.preorder_traverse(node.right		)






    def       _lowerCAmelCase (	self,		lowerCamelCase__=None		):
        if traversal_function is None:
            return self.preorder_traverse(self.root		)
        else:
            return traversal_function(self.root		)






    def       _lowerCAmelCase (	self,		lowerCamelCase__,		lowerCamelCase__		):
        if node:
            self.inorder(lowerCamelCase__,		node.left		)
            arr.append(node.value		)
            self.inorder(lowerCamelCase__,		node.right		)






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




def      __UpperCamelCase     (  _lowerCAmelCase		)	->  list[Node]:



    """simple docstring"""






    A			:	str										=       []
    if curr_node is not None:
        A			:	Dict										=       postorder(curr_node.left		) + postorder(curr_node.right		) + [curr_node]
    return node_list




def      __UpperCamelCase     (  )	->  None:



    """simple docstring"""






    A			:	Optional[int]										=       (8, 3, 6, 1, 10, 14, 13, 4, 7)
    A			:	Tuple										=       BinarySearchTree()
    for i in testlist:
        t.insert(_lowerCAmelCase		)

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

    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(_lowerCAmelCase		)
        print(_lowerCAmelCase		)


if __name__ == "__main__":
     import doctest

     doctest.testmod(verbose=True)







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 FEATURE_EXTRACTOR_NAME, is_vision_available


if is_vision_available():
     from PIL import Image

     from transformers import ChineseCLIPImageProcessor, ChineseCLIPProcessor






@require_vision
class SCREAMING_SNAKE_CASE__					(		unittest.TestCase   ):




    '''simple docstring'''






    def       _lowerCAmelCase (	self		):
        A			:	str										=       tempfile.mkdtemp()

        A			:	Any										=       [
            """[UNK]""",
            """[CLS]""",
            """[SEP]""",
            """[PAD]""",
            """[MASK]""",
            """的""",
            """价""",
            """格""",
            """是""",
            """15""",
            """便""",
            """alex""",
            """##andra""",
            """，""",
            """。""",
            """-""",
            """t""",
            """shirt""",
        ]
        A			:	Any										=       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]		)		)

        A			:	Any										=       {
            """do_resize""": True,
            """size""": {"""height""": 224, """width""": 224},
            """do_center_crop""": True,
            """crop_size""": {"""height""": 18, """width""": 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],
            """do_convert_rgb""": True,
        }
        A			:	int										=       os.path.join(self.tmpdirname,		lowerCamelCase__		)
        with open(self.image_processor_file,		"""w""",		encoding="""utf-8"""		) as fp:
            json.dump(lowerCamelCase__,		lowerCamelCase__		)






    def       _lowerCAmelCase (	self,		**lowerCamelCase__		):
        return BertTokenizer.from_pretrained(self.tmpdirname,		**lowerCamelCase__		)






    def       _lowerCAmelCase (	self,		**lowerCamelCase__		):
        return BertTokenizerFast.from_pretrained(self.tmpdirname,		**lowerCamelCase__		)






    def       _lowerCAmelCase (	self,		**lowerCamelCase__		):
        return ChineseCLIPImageProcessor.from_pretrained(self.tmpdirname,		**lowerCamelCase__		)






    def       _lowerCAmelCase (	self		):
        shutil.rmtree(self.tmpdirname		)






    def       _lowerCAmelCase (	self		):
        A			:	Optional[int]										=       [np.random.randint(255,		size=(3, 30, 400),		dtype=np.uinta		)]

        A			:	List[Any]										=       [Image.fromarray(np.moveaxis(lowerCamelCase__,		0,		-1		)		) for x in image_inputs]

        return image_inputs






    def       _lowerCAmelCase (	self		):
        A			:	List[Any]										=       self.get_tokenizer()
        A			:	Dict										=       self.get_rust_tokenizer()
        A			:	List[Any]										=       self.get_image_processor()

        A			:	int										=       ChineseCLIPProcessor(tokenizer=lowerCamelCase__,		image_processor=lowerCamelCase__		)
        processor_slow.save_pretrained(self.tmpdirname		)
        A			:	Optional[Any]										=       ChineseCLIPProcessor.from_pretrained(self.tmpdirname,		use_fast=lowerCamelCase__		)

        A			:	str										=       ChineseCLIPProcessor(tokenizer=lowerCamelCase__,		image_processor=lowerCamelCase__		)
        processor_fast.save_pretrained(self.tmpdirname		)
        A			:	Tuple										=       ChineseCLIPProcessor.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       _lowerCAmelCase (	self		):
        A			:	str										=       ChineseCLIPProcessor(tokenizer=self.get_tokenizer(),		image_processor=self.get_image_processor()		)
        processor.save_pretrained(self.tmpdirname		)

        A			:	Optional[int]										=       self.get_tokenizer(cls_token="""(CLS)""",		sep_token="""(SEP)"""		)
        A			:	Optional[int]										=       self.get_image_processor(do_normalize=lowerCamelCase__		)

        A			:	Optional[int]										=       ChineseCLIPProcessor.from_pretrained(
            self.tmpdirname,		cls_token="""(CLS)""",		sep_token="""(SEP)""",		do_normalize=lowerCamelCase__		)

        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       _lowerCAmelCase (	self		):
        A			:	Tuple										=       self.get_image_processor()
        A			:	List[str]										=       self.get_tokenizer()

        A			:	List[str]										=       ChineseCLIPProcessor(tokenizer=lowerCamelCase__,		image_processor=lowerCamelCase__		)

        A			:	Any										=       self.prepare_image_inputs()

        A			:	Union[str, Any]										=       image_processor(lowerCamelCase__,		return_tensors="""np"""		)
        A			:	str										=       processor(images=lowerCamelCase__,		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       _lowerCAmelCase (	self		):
        A			:	List[str]										=       self.get_image_processor()
        A			:	Tuple										=       self.get_tokenizer()

        A			:	str										=       ChineseCLIPProcessor(tokenizer=lowerCamelCase__,		image_processor=lowerCamelCase__		)

        A			:	Any										=       """Alexandra，T-shirt的价格是15便士。"""

        A			:	Optional[Any]										=       processor(text=lowerCamelCase__		)

        A			:	int										=       tokenizer(lowerCamelCase__		)

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






    def       _lowerCAmelCase (	self		):
        A			:	Dict										=       self.get_image_processor()
        A			:	List[str]										=       self.get_tokenizer()

        A			:	int										=       ChineseCLIPProcessor(tokenizer=lowerCamelCase__,		image_processor=lowerCamelCase__		)

        A			:	str										=       """Alexandra，T-shirt的价格是15便士。"""
        A			:	Dict										=       self.prepare_image_inputs()

        A			:	Optional[int]										=       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       _lowerCAmelCase (	self		):
        A			:	Union[str, Any]										=       self.get_image_processor()
        A			:	List[str]										=       self.get_tokenizer()

        A			:	List[str]										=       ChineseCLIPProcessor(tokenizer=lowerCamelCase__,		image_processor=lowerCamelCase__		)

        A			:	int										=       [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

        A			:	List[Any]										=       processor.batch_decode(lowerCamelCase__		)
        A			:	str										=       tokenizer.batch_decode(lowerCamelCase__		)

        self.assertListEqual(lowerCamelCase__,		lowerCamelCase__		)






    def       _lowerCAmelCase (	self		):
        A			:	List[str]										=       self.get_image_processor()
        A			:	List[str]										=       self.get_tokenizer()

        A			:	Any										=       ChineseCLIPProcessor(tokenizer=lowerCamelCase__,		image_processor=lowerCamelCase__		)

        A			:	List[Any]										=       """Alexandra，T-shirt的价格是15便士。"""
        A			:	Optional[Any]										=       self.prepare_image_inputs()

        A			:	str										=       processor(text=lowerCamelCase__,		images=lowerCamelCase__		)

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


