





'''simple docstring'''






from __future__ import annotations

import math
import random
from typing import Any
class 		lowerCamelCase  :



	def __init__(   self	):
			lowerCAmelCase     :    list[Any]						=   []
			lowerCAmelCase     :    int						=   0
			lowerCAmelCase     :    int						=   0



	def   _lowerCamelCase    (   self	):
			return self.head == self.tail



	def   _lowerCamelCase    (   self		,      a_	):
			self.data.append(a_	)
			lowerCAmelCase     :    Any						=   self.tail + 1



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Optional[int]						=   self.data[self.head]
			lowerCAmelCase     :    Any						=   self.head + 1
			return ret



	def   _lowerCamelCase    (   self	):
			return self.tail - self.head





	def   _lowerCamelCase    (   self	):
			print(self.data	)
			print("**************"	)
			print(self.data[self.head : self.tail]	)






class 		lowerCamelCase  :



	def __init__(   self		,      a_	):
			lowerCAmelCase     :    Optional[int]						=   data
			lowerCAmelCase     :    MyNode | None						=   None
			lowerCAmelCase     :    MyNode | None						=   None
			lowerCAmelCase     :    int						=   1



	def   _lowerCamelCase    (   self	):
			return self.data



	def   _lowerCamelCase    (   self	):
			return self.left



	def   _lowerCamelCase    (   self	):
			return self.right



	def   _lowerCamelCase    (   self	):
			return self.height



	def   _lowerCamelCase    (   self		,      a_	):
			lowerCAmelCase     :    int						=   data



	def   _lowerCamelCase    (   self		,      a_	):
			lowerCAmelCase     :    Union[str, Any]						=   node



	def   _lowerCamelCase    (   self		,      a_	):
			lowerCAmelCase     :    Any						=   node





	def   _lowerCamelCase    (   self		,      a_	):
			lowerCAmelCase     :    Tuple						=   height






def      __A						(							a_						:  MyNode | None	):
		if node is None:
				return 0
		return node.get_height()






def      __A						(							a_						:  int      ,a_						:  int	):
		if a > b:
				return a
		return b






def      __A						(							a_						:  MyNode	):
		print("left rotation node:"      ,node.get_data()	)
		lowerCAmelCase     :    int						=   node.get_left()
		assert ret is not None
		node.set_left(ret.get_right()	)
		ret.set_right(a_	)
		lowerCAmelCase     :    Dict						=   my_max(get_height(node.get_right()	)      ,get_height(node.get_left()	)	) + 1
		node.set_height(a_	)
		lowerCAmelCase     :    List[str]						=   my_max(get_height(ret.get_right()	)      ,get_height(ret.get_left()	)	) + 1
		ret.set_height(a_	)
		return ret






def      __A						(							a_						:  MyNode	):
		print("right rotation node:"      ,node.get_data()	)
		lowerCAmelCase     :    List[str]						=   node.get_right()
		assert ret is not None
		node.set_right(ret.get_left()	)
		ret.set_left(a_	)
		lowerCAmelCase     :    int						=   my_max(get_height(node.get_right()	)      ,get_height(node.get_left()	)	) + 1
		node.set_height(a_	)
		lowerCAmelCase     :    int						=   my_max(get_height(ret.get_right()	)      ,get_height(ret.get_left()	)	) + 1
		ret.set_height(a_	)
		return ret






def      __A						(							a_						:  MyNode	):
		lowerCAmelCase     :    Optional[int]						=   node.get_left()
		assert left_child is not None
		node.set_left(left_rotation(a_	)	)
		return right_rotation(a_	)






def      __A						(							a_						:  MyNode	):
		lowerCAmelCase     :    str						=   node.get_right()
		assert right_child is not None
		node.set_right(right_rotation(a_	)	)
		return left_rotation(a_	)






def      __A						(							a_						:  MyNode | None      ,a_						:  Any	):
		if node is None:
				return MyNode(a_	)
		if data < node.get_data():
				node.set_left(insert_node(node.get_left()      ,a_	)	)
				if (
				    get_height(node.get_left()	) - get_height(node.get_right()	) == 2
				):  # an unbalance detected
						lowerCAmelCase     :    int						=   node.get_left()
						assert left_child is not None
						if (
						    data < left_child.get_data()
						):  # new node is the left child of the left child
								lowerCAmelCase     :    List[Any]						=   right_rotation(a_	)
						else:
								lowerCAmelCase     :    List[str]						=   lr_rotation(a_	)
		else:
				node.set_right(insert_node(node.get_right()      ,a_	)	)
				if get_height(node.get_right()	) - get_height(node.get_left()	) == 2:
						lowerCAmelCase     :    Optional[Any]						=   node.get_right()
						assert right_child is not None
						if data < right_child.get_data():
								lowerCAmelCase     :    Optional[Any]						=   rl_rotation(a_	)
						else:
								lowerCAmelCase     :    Optional[Any]						=   left_rotation(a_	)
		lowerCAmelCase     :    Union[str, Any]						=   my_max(get_height(node.get_right()	)      ,get_height(node.get_left()	)	) + 1
		node.set_height(a_	)
		return node






def      __A						(							a_						:  MyNode	):
		while True:
				lowerCAmelCase     :    int						=   root.get_right()
				if right_child is None:
						break
				lowerCAmelCase     :    Optional[Any]						=   right_child
		return root.get_data()






def      __A						(							a_						:  MyNode	):
		while True:
				lowerCAmelCase     :    List[Any]						=   root.get_left()
				if left_child is None:
						break
				lowerCAmelCase     :    Any						=   left_child
		return root.get_data()






def      __A						(							a_						:  MyNode      ,a_						:  Any	):
		lowerCAmelCase     :    List[Any]						=   root.get_left()
		lowerCAmelCase     :    Optional[int]						=   root.get_right()
		if root.get_data() == data:
				if left_child is not None and right_child is not None:
						lowerCAmelCase     :    str						=   get_left_most(a_	)
						root.set_data(a_	)
						root.set_right(del_node(a_      ,a_	)	)
				elif left_child is not None:
						lowerCAmelCase     :    Union[str, Any]						=   left_child
				elif right_child is not None:
						lowerCAmelCase     :    int						=   right_child
				else:
						return None
		elif root.get_data() > data:
				if left_child is None:
						print("No such data"	)
						return root
				else:
						root.set_left(del_node(a_      ,a_	)	)
		else:  # root.get_data() < data
				if right_child is None:
						return root
				else:
						root.set_right(del_node(a_      ,a_	)	)

		if get_height(a_	) - get_height(a_	) == 2:
				assert right_child is not None
				if get_height(right_child.get_right()	) > get_height(right_child.get_left()	):
						lowerCAmelCase     :    List[Any]						=   left_rotation(a_	)
				else:
						lowerCAmelCase     :    Optional[int]						=   rl_rotation(a_	)
		elif get_height(a_	) - get_height(a_	) == -2:
				assert left_child is not None
				if get_height(left_child.get_left()	) > get_height(left_child.get_right()	):
						lowerCAmelCase     :    str						=   right_rotation(a_	)
				else:
						lowerCAmelCase     :    int						=   lr_rotation(a_	)
		lowerCAmelCase     :    Dict						=   my_max(get_height(root.get_right()	)      ,get_height(root.get_left()	)	) + 1
		root.set_height(a_	)
		return root
class 		lowerCamelCase  :



	def __init__(   self	):
			lowerCAmelCase     :    MyNode | None						=   None



	def   _lowerCamelCase    (   self	):
			return get_height(self.root	)



	def   _lowerCamelCase    (   self		,      a_	):
			print("insert:" + str(a_	)	)
			lowerCAmelCase     :    Any						=   insert_node(self.root		,      a_	)



	def   _lowerCamelCase    (   self		,      a_	):
			print("delete:" + str(a_	)	)
			if self.root is None:
					print("Tree is empty!"	)
					return
			lowerCAmelCase     :    Tuple						=   del_node(self.root		,      a_	)





	def __str__(   self		,      ):  # a level traversale, gives a more intuitive look on the tree
			lowerCAmelCase     :    Tuple						=   ""
			lowerCAmelCase     :    Any						=   MyQueue()
			q.push(self.root	)
			lowerCAmelCase     :    int						=   self.get_height()
			if layer == 0:
					return output
			lowerCAmelCase     :    Union[str, Any]						=   0
			while not q.is_empty():
					lowerCAmelCase     :    List[str]						=   q.pop()
					lowerCAmelCase     :    Union[str, Any]						=   " " * int(math.pow(2		,      layer - 1	)	)
					output += space
					if node is None:
							output += "*"
							q.push(a_	)
							q.push(a_	)
					else:
							output += str(node.get_data()	)
							q.push(node.get_left()	)
							q.push(node.get_right()	)
					output += space
					lowerCAmelCase     :    Tuple						=   cnt + 1
					for i in range(100	):
							if cnt == math.pow(2		,      a_	) - 1:
									lowerCAmelCase     :    Union[str, Any]						=   layer - 1
									if layer == 0:
											output += "\n*************************************"
											return output
									output += "\n"
									break
			output += "\n*************************************"
			return output






def      __A						(							):
		import doctest

		doctest.testmod()


if __name__ == "__main__":
					_test()
					lowerCAmelCase       		=      AVLtree()
					lowerCAmelCase       		=      list(range(10))
					random.shuffle(lst)
					for i in lst:
										t.insert(i)
										print(str(t))
					random.shuffle(lst)
					for i in lst:
										t.del_node(i)
										print(str(t))










'''simple docstring'''






import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip 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 OwlViTImageProcessor, OwlViTProcessor
@require_vision
class 		lowerCamelCase  (      unittest.TestCase       ):



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Tuple						=   tempfile.mkdtemp()

			# fmt: off
			lowerCAmelCase     :    List[Any]						=   ["", "l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "lo", "l</w>", "w</w>", "r</w>", "t</w>", "low</w>", "er</w>", "lowest</w>", "newer</w>", "wider", "<unk>", "<|startoftext|>", "<|endoftext|>"]
			# fmt: on
			lowerCAmelCase     :    Dict						=   dict(zip(a_		,      range(len(a_	)	)	)	)
			lowerCAmelCase     :    List[str]						=   ["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
			lowerCAmelCase     :    List[Any]						=   {"unk_token": "<unk>"}

			lowerCAmelCase     :    int						=   os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["vocab_file"]	)
			lowerCAmelCase     :    List[str]						=   os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["merges_file"]	)
			with open(self.vocab_file		,      "w"		,      encoding="utf-8"	) as fp:
					fp.write(json.dumps(a_	) + "\n"	)
			with open(self.merges_file		,      "w"		,      encoding="utf-8"	) as fp:
					fp.write("\n".join(a_	)	)

			lowerCAmelCase     :    Dict						=   {
			    "do_resize": True,
			    "size": 20,
			    "do_center_crop": True,
			    "crop_size": 18,
			    "do_normalize": True,
			    "image_mean": [0.48145466, 0.4578275, 0.40821073],
			    "image_std": [0.26862954, 0.26130258, 0.27577711],
			}
			lowerCAmelCase     :    int						=   os.path.join(self.tmpdirname		,      a_	)
			with open(self.image_processor_file		,      "w"		,      encoding="utf-8"	) as fp:
					json.dump(a_		,      a_	)



	def   _lowerCamelCase    (   self		,      **a_	):
			return CLIPTokenizer.from_pretrained(self.tmpdirname		,      pad_token="!"		,      **a_	)



	def   _lowerCamelCase    (   self		,      **a_	):
			return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,      pad_token="!"		,      **a_	)



	def   _lowerCamelCase    (   self		,      **a_	):
			return OwlViTImageProcessor.from_pretrained(self.tmpdirname		,      **a_	)



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



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    str						=   [np.random.randint(255		,      size=(3, 30, 400)		,      dtype=np.uinta	)]

			lowerCAmelCase     :    Optional[int]						=   [Image.fromarray(np.moveaxis(a_		,      0		,      -1	)	) for x in image_inputs]

			return image_inputs



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Optional[Any]						=   self.get_tokenizer()
			lowerCAmelCase     :    Union[str, Any]						=   self.get_rust_tokenizer()
			lowerCAmelCase     :    Optional[int]						=   self.get_image_processor()

			lowerCAmelCase     :    Optional[int]						=   OwlViTProcessor(tokenizer=a_		,      image_processor=a_	)
			processor_slow.save_pretrained(self.tmpdirname	)
			lowerCAmelCase     :    Optional[Any]						=   OwlViTProcessor.from_pretrained(self.tmpdirname		,      use_fast=a_	)

			lowerCAmelCase     :    int						=   OwlViTProcessor(tokenizer=a_		,      image_processor=a_	)
			processor_fast.save_pretrained(self.tmpdirname	)
			lowerCAmelCase     :    List[Any]						=   OwlViTProcessor.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		,      a_	)
			self.assertIsInstance(processor_fast.tokenizer		,      a_	)

			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		,      a_	)
			self.assertIsInstance(processor_fast.image_processor		,      a_	)



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Dict						=   OwlViTProcessor(tokenizer=self.get_tokenizer()		,      image_processor=self.get_image_processor()	)
			processor.save_pretrained(self.tmpdirname	)

			lowerCAmelCase     :    int						=   self.get_tokenizer(bos_token="(BOS)"		,      eos_token="(EOS)"	)
			lowerCAmelCase     :    Dict						=   self.get_image_processor(do_normalize=a_	)

			lowerCAmelCase     :    Optional[int]						=   OwlViTProcessor.from_pretrained(
			    self.tmpdirname		,      bos_token="(BOS)"		,      eos_token="(EOS)"		,      do_normalize=a_	)

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

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



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Tuple						=   self.get_image_processor()
			lowerCAmelCase     :    Optional[int]						=   self.get_tokenizer()

			lowerCAmelCase     :    str						=   OwlViTProcessor(tokenizer=a_		,      image_processor=a_	)

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

			lowerCAmelCase     :    List[str]						=   image_processor(a_		,      return_tensors="np"	)
			lowerCAmelCase     :    Any						=   processor(images=a_		,      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   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Dict						=   self.get_image_processor()
			lowerCAmelCase     :    List[str]						=   self.get_tokenizer()

			lowerCAmelCase     :    int						=   OwlViTProcessor(tokenizer=a_		,      image_processor=a_	)

			lowerCAmelCase     :    Tuple						=   "lower newer"

			lowerCAmelCase     :    int						=   processor(text=a_		,      return_tensors="np"	)

			lowerCAmelCase     :    Tuple						=   tokenizer(a_		,      return_tensors="np"	)

			for key in encoded_tok.keys():
					self.assertListEqual(encoded_tok[key][0].tolist()		,      encoded_processor[key][0].tolist()	)



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    str						=   self.get_image_processor()
			lowerCAmelCase     :    int						=   self.get_tokenizer()

			lowerCAmelCase     :    List[str]						=   OwlViTProcessor(tokenizer=a_		,      image_processor=a_	)

			lowerCAmelCase     :    Dict						=   "lower newer"
			lowerCAmelCase     :    Tuple						=   self.prepare_image_inputs()

			lowerCAmelCase     :    Any						=   processor(text=a_		,      images=a_	)

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

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



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    List[str]						=   "google/owlvit-base-patch32"
			lowerCAmelCase     :    List[Any]						=   OwlViTProcessor.from_pretrained(a_	)

			lowerCAmelCase     :    Dict						=   ["cat", "nasa badge"]
			lowerCAmelCase     :    Optional[int]						=   processor(text=a_	)

			lowerCAmelCase     :    Optional[int]						=   16
			self.assertListEqual(list(inputs.keys()	)		,      ["input_ids", "attention_mask"]	)
			self.assertEqual(inputs["input_ids"].shape		,      (2, seq_length)	)

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



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Optional[int]						=   "google/owlvit-base-patch32"
			lowerCAmelCase     :    Tuple						=   OwlViTProcessor.from_pretrained(a_	)

			lowerCAmelCase     :    List[Any]						=   [["cat", "nasa badge"], ["person"]]
			lowerCAmelCase     :    int						=   processor(text=a_	)

			lowerCAmelCase     :    List[Any]						=   16
			lowerCAmelCase     :    Union[str, Any]						=   len(a_	)
			lowerCAmelCase     :    str						=   max([len(a_	) for texts in input_texts]	)

			self.assertListEqual(list(inputs.keys()	)		,      ["input_ids", "attention_mask"]	)
			self.assertEqual(inputs["input_ids"].shape		,      (batch_size * num_max_text_queries, seq_length)	)

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



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Optional[int]						=   "google/owlvit-base-patch32"
			lowerCAmelCase     :    Union[str, Any]						=   OwlViTProcessor.from_pretrained(a_	)

			lowerCAmelCase     :    List[Any]						=   ["cat", "nasa badge"]
			lowerCAmelCase     :    Any						=   processor(text=a_	)

			lowerCAmelCase     :    Optional[Any]						=   16
			lowerCAmelCase     :    Optional[Any]						=   inputs["input_ids"]
			lowerCAmelCase     :    str						=   [
			    [49_406, 2_368, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
			    [49_406, 6_841, 11_301, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
			]

			self.assertListEqual(list(inputs.keys()	)		,      ["input_ids", "attention_mask"]	)
			self.assertEqual(inputs["input_ids"].shape		,      (2, seq_length)	)
			self.assertListEqual(list(input_ids[0]	)		,      predicted_ids[0]	)
			self.assertListEqual(list(input_ids[1]	)		,      predicted_ids[1]	)



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Optional[Any]						=   self.get_image_processor()
			lowerCAmelCase     :    Optional[Any]						=   self.get_tokenizer()

			lowerCAmelCase     :    Dict						=   OwlViTProcessor(tokenizer=a_		,      image_processor=a_	)

			lowerCAmelCase     :    str						=   self.prepare_image_inputs()
			lowerCAmelCase     :    Tuple						=   self.prepare_image_inputs()

			lowerCAmelCase     :    List[Any]						=   processor(images=a_		,      query_images=a_	)

			self.assertListEqual(list(inputs.keys()	)		,      ["query_pixel_values", "pixel_values"]	)

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





	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Tuple						=   self.get_image_processor()
			lowerCAmelCase     :    int						=   self.get_tokenizer()

			lowerCAmelCase     :    str						=   OwlViTProcessor(tokenizer=a_		,      image_processor=a_	)

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

			lowerCAmelCase     :    List[Any]						=   processor.batch_decode(a_	)
			lowerCAmelCase     :    Union[str, Any]						=   tokenizer.batch_decode(a_	)

			self.assertListEqual(a_		,      a_	)



