


import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin







class 	__lowercase    (__SCREAMING_SNAKE_CASE	,       unittest.TestCase  ):





							"""simple docstring"""







							_UpperCAmelCase      =						CanineTokenizer
							_UpperCAmelCase      =						False






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										super().setUp()
										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					CanineTokenizer()
										tokenizer.save_pretrained(self.tmpdirname       )






							@cached_property
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										return CanineTokenizer.from_pretrained('google/canine-s'       )






							def 					UpperCamelCase__     (      self			,						**lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Any					=					self.tokenizer_class.from_pretrained(self.tmpdirname			,						**lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     Tuple					=					1_0_2_4
										return tokenizer






							@require_torch
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Any					=					self.canine_tokenizer
										SCREAMING_SNAKE_CASE_		:     List[str]					=					['Life is like a box of chocolates.', 'You never know what you\'re gonna get.']
										# fmt: off
										SCREAMING_SNAKE_CASE_		:     Tuple					=					[5_7_3_4_4, 7_6, 1_0_5, 1_0_2, 1_0_1, 3_2, 1_0_5, 1_1_5, 3_2, 1_0_8, 1_0_5, 1_0_7, 1_0_1, 3_2, 9_7, 3_2, 9_8, 1_1_1, 1_2_0, 3_2, 1_1_1, 1_0_2, 3_2, 9_9, 1_0_4, 1_1_1, 9_9, 1_1_1, 1_0_8, 9_7, 1_1_6, 1_0_1, 1_1_5, 4_6, 5_7_3_4_5, 0, 0, 0, 0]
										# fmt: on
										SCREAMING_SNAKE_CASE_		:     Dict					=					tokenizer(lowerCAmelCase__			,						padding=lowerCAmelCase__			,						return_tensors='pt'       )
										self.assertIsInstance(lowerCAmelCase__			,						lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     Optional[int]					=					list(batch.input_ids.numpy()[0]       )

										self.assertListEqual(lowerCAmelCase__			,						lowerCAmelCase__       )

										self.assertEqual((2, 3_9)			,						batch.input_ids.shape       )
										self.assertEqual((2, 3_9)			,						batch.attention_mask.shape       )






							@require_torch
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Dict					=					self.canine_tokenizer
										SCREAMING_SNAKE_CASE_		:     Dict					=					['Once there was a man.', 'He wrote a test in HuggingFace Tranformers.']
										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					tokenizer(lowerCAmelCase__			,						padding=lowerCAmelCase__			,						return_tensors='pt'       )
										# check if input_ids, attention_mask and token_type_ids are returned
										self.assertIn('input_ids'			,						lowerCAmelCase__       )
										self.assertIn('attention_mask'			,						lowerCAmelCase__       )
										self.assertIn('token_type_ids'			,						lowerCAmelCase__       )






							@require_torch
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Any					=					self.canine_tokenizer
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					[
										    'What\'s the weater?',
										    'It\'s about 25 degrees.',
										]
										SCREAMING_SNAKE_CASE_		:     int					=					tokenizer(
										    text_target=lowerCAmelCase__			,						max_length=3_2			,						padding='max_length'			,						truncation=lowerCAmelCase__			,						return_tensors='pt'       )
										self.assertEqual(3_2			,						targets['input_ids'].shape[1]       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Dict					=					self.get_tokenizers()
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																self.assertNotEqual(tokenizer.model_max_length			,						4_2       )

        # Now let's start the test
										SCREAMING_SNAKE_CASE_		:     List[str]					=					self.get_tokenizers()
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																# Isolate this from the other tests because we save additional tokens/etc
																SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					tempfile.mkdtemp()

																SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					' He is very happy, UNwant\u00E9d,running'
																SCREAMING_SNAKE_CASE_		:     List[str]					=					tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																tokenizer.save_pretrained(lowerCAmelCase__       )

																SCREAMING_SNAKE_CASE_		:     Any					=					tokenizer.__class__.from_pretrained(lowerCAmelCase__       )
																SCREAMING_SNAKE_CASE_		:     str					=					after_tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																self.assertListEqual(lowerCAmelCase__			,						lowerCAmelCase__       )

																shutil.rmtree(lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     Dict					=					self.get_tokenizers(model_max_length=4_2       )
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																# Isolate this from the other tests because we save additional tokens/etc
																SCREAMING_SNAKE_CASE_		:     List[Any]					=					tempfile.mkdtemp()

																SCREAMING_SNAKE_CASE_		:     List[str]					=					' He is very happy, UNwant\u00E9d,running'

																SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					tokenizer.additional_special_tokens

																# We can add a new special token for Canine as follows:
																SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					chr(0XE_0_0_7       )
																additional_special_tokens.append(lowerCAmelCase__       )
																tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens}       )
																SCREAMING_SNAKE_CASE_		:     Any					=					tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																tokenizer.save_pretrained(lowerCAmelCase__       )

																SCREAMING_SNAKE_CASE_		:     Optional[int]					=					tokenizer.__class__.from_pretrained(lowerCAmelCase__       )
																SCREAMING_SNAKE_CASE_		:     Optional[int]					=					after_tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																self.assertListEqual(lowerCAmelCase__			,						lowerCAmelCase__       )
																self.assertIn(lowerCAmelCase__			,						after_tokenizer.additional_special_tokens       )
																self.assertEqual(after_tokenizer.model_max_length			,						4_2       )

																SCREAMING_SNAKE_CASE_		:     int					=					tokenizer.__class__.from_pretrained(lowerCAmelCase__			,						model_max_length=4_3       )
																self.assertEqual(tokenizer.model_max_length			,						4_3       )

																shutil.rmtree(lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Any					=					self.get_tokenizers(do_lower_case=lowerCAmelCase__       )
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		:     int					=					self.get_clean_sequence(lowerCAmelCase__       )

																# a special token for Canine can be defined as follows:
																SCREAMING_SNAKE_CASE_		:     Dict					=					0XE_0_0_5
																SCREAMING_SNAKE_CASE_		:     Tuple					=					chr(lowerCAmelCase__       )

																tokenizer.add_special_tokens({'cls_token': special_token}       )
																SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																self.assertEqual(len(lowerCAmelCase__       )			,						1       )

																SCREAMING_SNAKE_CASE_		:     Tuple					=					tokenizer.decode(ids + encoded_special_token			,						clean_up_tokenization_spaces=lowerCAmelCase__       )
																SCREAMING_SNAKE_CASE_		:     List[Any]					=					tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )

																SCREAMING_SNAKE_CASE_		:     Any					=					tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																SCREAMING_SNAKE_CASE_		:     str					=					tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																self.assertEqual(lowerCAmelCase__			,						input_encoded + special_token_id       )

																SCREAMING_SNAKE_CASE_		:     Any					=					tokenizer.decode(lowerCAmelCase__			,						skip_special_tokens=lowerCAmelCase__       )
																self.assertTrue(special_token not in decoded       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     List[str]					=					self.get_tokenizers(do_lower_case=lowerCAmelCase__       )
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																SCREAMING_SNAKE_CASE_		:     List[Any]					=					chr(0XE_0_0_5       )
																SCREAMING_SNAKE_CASE_		:     Optional[int]					=					chr(0XE_0_0_6       )

																# `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
																tokenizer.add_tokens([SPECIAL_TOKEN_1]			,						special_tokens=lowerCAmelCase__       )
																# `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
																# which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
																tokenizer.add_special_tokens({'additional_special_tokens': [SPECIAL_TOKEN_2]}       )

																SCREAMING_SNAKE_CASE_		:     Optional[int]					=					tokenizer.tokenize(lowerCAmelCase__       )
																SCREAMING_SNAKE_CASE_		:     List[Any]					=					tokenizer.tokenize(lowerCAmelCase__       )

																self.assertEqual(len(lowerCAmelCase__       )			,						1       )
																self.assertEqual(len(lowerCAmelCase__       )			,						1       )
																self.assertEqual(token_a[0]			,						lowerCAmelCase__       )
																self.assertEqual(token_a[0]			,						lowerCAmelCase__       )






							@require_tokenizers
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     int					=					self.get_tokenizers(do_lower_case=lowerCAmelCase__       )
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																# a special token for Canine can be defined as follows:
																SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					0XE_0_0_6
																SCREAMING_SNAKE_CASE_		:     Tuple					=					chr(lowerCAmelCase__       )

																SCREAMING_SNAKE_CASE_		:     Optional[int]					=					AddedToken(lowerCAmelCase__			,						lstrip=lowerCAmelCase__       )
																tokenizer.add_special_tokens({'additional_special_tokens': [new_token]}       )

																with tempfile.TemporaryDirectory() as tmp_dir_name:
																			tokenizer.save_pretrained(lowerCAmelCase__       )
																			tokenizer.from_pretrained(lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     int					=					[]
										if self.test_slow_tokenizer:
													tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())       )

										if self.test_rust_tokenizer:
													tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())       )

										for tokenizer_class, tokenizer_utils in tokenizer_list:
													with tempfile.TemporaryDirectory() as tmp_dir:
																tokenizer_utils.save_pretrained(lowerCAmelCase__       )

																with open(os.path.join(lowerCAmelCase__			,						'special_tokens_map.json'       )			,						encoding='utf-8'       ) as json_file:
																			SCREAMING_SNAKE_CASE_		:     Any					=					json.load(lowerCAmelCase__       )

																with open(os.path.join(lowerCAmelCase__			,						'tokenizer_config.json'       )			,						encoding='utf-8'       ) as json_file:
																			SCREAMING_SNAKE_CASE_		:     List[str]					=					json.load(lowerCAmelCase__       )

																# a special token for Canine can be defined as follows:
																SCREAMING_SNAKE_CASE_		:     int					=					0XE_0_0_6
																SCREAMING_SNAKE_CASE_		:     List[str]					=					chr(lowerCAmelCase__       )

																SCREAMING_SNAKE_CASE_		:     Any					=					[new_token_a]
																SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					[new_token_a]

																with open(os.path.join(lowerCAmelCase__			,						'special_tokens_map.json'       )			,						'w'			,						encoding='utf-8'       ) as outfile:
																			json.dump(lowerCAmelCase__			,						lowerCAmelCase__       )
																with open(os.path.join(lowerCAmelCase__			,						'tokenizer_config.json'       )			,						'w'			,						encoding='utf-8'       ) as outfile:
																			json.dump(lowerCAmelCase__			,						lowerCAmelCase__       )

																# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																# "special_tokens_map.json" files
																SCREAMING_SNAKE_CASE_		:     Optional[int]					=					tokenizer_class.from_pretrained(lowerCAmelCase__			,						extra_ids=0       )
																self.assertIn(lowerCAmelCase__			,						tokenizer_without_change_in_init.additional_special_tokens       )
																# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																self.assertEqual(
																    [new_token_a]			,						tokenizer_without_change_in_init.convert_ids_to_tokens(
																        tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]       )       )			,						)

																SCREAMING_SNAKE_CASE_		:     List[str]					=					0XE_0_0_7
																SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					chr(lowerCAmelCase__       )
																# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																SCREAMING_SNAKE_CASE_		:     Dict					=					[AddedToken(lowerCAmelCase__			,						lstrip=lowerCAmelCase__       )]
																SCREAMING_SNAKE_CASE_		:     List[Any]					=					tokenizer_class.from_pretrained(
																    lowerCAmelCase__			,						additional_special_tokens=lowerCAmelCase__			,						extra_ids=0       )

																self.assertIn(lowerCAmelCase__			,						tokenizer.additional_special_tokens       )
																# self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
																self.assertEqual(
																    [new_token_a]			,						tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]       )       )       )






							@require_tokenizers
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     List[str]					=					self.get_tokenizers(do_lower_case=lowerCAmelCase__       )
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																SCREAMING_SNAKE_CASE_		:     int					=					'hello world'
																if self.space_between_special_tokens:
																			SCREAMING_SNAKE_CASE_		:     List[str]					=					'[CLS] hello world [SEP]'
																else:
																			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					input
																SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					tokenizer.encode(lowerCAmelCase__			,						add_special_tokens=lowerCAmelCase__       )
																SCREAMING_SNAKE_CASE_		:     Dict					=					tokenizer.decode(lowerCAmelCase__			,						spaces_between_special_tokens=self.space_between_special_tokens       )
																self.assertIn(lowerCAmelCase__			,						[output, output.lower()]       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Any					=					self.get_tokenizers()
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''       ):
																SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					[
																    'bos_token',
																    'eos_token',
																    'unk_token',
																    'sep_token',
																    'pad_token',
																    'cls_token',
																    'mask_token',
																]

										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					'a'
										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					ord(lowerCAmelCase__       )

										for attr in attributes_list:
													setattr(lowerCAmelCase__			,						attr + '_id'			,						lowerCAmelCase__       )
													self.assertEqual(getattr(lowerCAmelCase__			,						lowerCAmelCase__       )			,						lowerCAmelCase__       )
													self.assertEqual(getattr(lowerCAmelCase__			,						attr + '_id'       )			,						lowerCAmelCase__       )

													setattr(lowerCAmelCase__			,						attr + '_id'			,						lowerCAmelCase__       )
													self.assertEqual(getattr(lowerCAmelCase__			,						lowerCAmelCase__       )			,						lowerCAmelCase__       )
													self.assertEqual(getattr(lowerCAmelCase__			,						attr + '_id'       )			,						lowerCAmelCase__       )

										setattr(lowerCAmelCase__			,						'additional_special_tokens_ids'			,						[]       )
										self.assertListEqual(getattr(lowerCAmelCase__			,						'additional_special_tokens'       )			,						[]       )
										self.assertListEqual(getattr(lowerCAmelCase__			,						'additional_special_tokens_ids'       )			,						[]       )

										SCREAMING_SNAKE_CASE_		:     str					=					0XE_0_0_6
										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					chr(lowerCAmelCase__       )
										setattr(lowerCAmelCase__			,						'additional_special_tokens_ids'			,						[additional_special_token_id]       )
										self.assertListEqual(getattr(lowerCAmelCase__			,						'additional_special_tokens'       )			,						[additional_special_token]       )
										self.assertListEqual(getattr(lowerCAmelCase__			,						'additional_special_tokens_ids'       )			,						[additional_special_token_id]       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass









'''simple docstring'''
from __future__ import annotations

import math
import random
from typing import Any

class     _lowerCamelCase       :




 '''simple docstring'''


 def __init__(   self    ):

  """simple docstring"""







  __A	:		list[Any]	  =      []
  __A	:		int	  =      0
  __A	:		int	  =      0


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.head == self.tail


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  self.data.append(__lowercase    )
  __A	:		Any	  =      self.tail + 1


 def 			snake_case__ (   self    ):

  """simple docstring"""







  __A	:		Any	  =      self.data[self.head]
  __A	:		Union[str, Any]	  =      self.head + 1
  return ret


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.tail - self.head







 def 			snake_case__ (   self    ):

  """simple docstring"""







  print(self.data    )
  print('**************'    )
  print(self.data[self.head : self.tail]    )


class     _lowerCamelCase       :




 '''simple docstring'''


 def __init__(   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Any	  =      data
  __A	:		MyNode | None	  =      None
  __A	:		MyNode | None	  =      None
  __A	:		int	  =      1


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.data


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.left


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.right


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.height


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Dict	  =      data


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		int	  =      node


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Tuple	  =      node







 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Optional[Any]	  =      height


def       _lowercase							(					UpperCamelCase__							:       MyNode | None      ):
 if node is None:
  return 0
 return node.get_height()


def       _lowercase							(					UpperCamelCase__							:       int,					UpperCamelCase__							:       int      ):
 if a > b:
  return a
 return b


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 print('left rotation node:',					node.get_data()      )
 __A	:		Optional[Any]	  =      node.get_left()
 assert ret is not None
 node.set_left(ret.get_right()      )
 ret.set_right(UpperCamelCase__      )
 __A	:		Tuple	  =      my_max(get_height(node.get_right()      ),					get_height(node.get_left()      )      ) + 1
 node.set_height(UpperCamelCase__      )
 __A	:		Optional[Any]	  =      my_max(get_height(ret.get_right()      ),					get_height(ret.get_left()      )      ) + 1
 ret.set_height(UpperCamelCase__      )
 return ret


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 print('right rotation node:',					node.get_data()      )
 __A	:		Optional[Any]	  =      node.get_right()
 assert ret is not None
 node.set_right(ret.get_left()      )
 ret.set_left(UpperCamelCase__      )
 __A	:		List[str]	  =      my_max(get_height(node.get_right()      ),					get_height(node.get_left()      )      ) + 1
 node.set_height(UpperCamelCase__      )
 __A	:		Any	  =      my_max(get_height(ret.get_right()      ),					get_height(ret.get_left()      )      ) + 1
 ret.set_height(UpperCamelCase__      )
 return ret


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 __A	:		Dict	  =      node.get_left()
 assert left_child is not None
 node.set_left(left_rotation(UpperCamelCase__      )      )
 return right_rotation(UpperCamelCase__      )


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 __A	:		Tuple	  =      node.get_right()
 assert right_child is not None
 node.set_right(right_rotation(UpperCamelCase__      )      )
 return left_rotation(UpperCamelCase__      )


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


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 while True:
  __A	:		str	  =      root.get_right()
  if right_child is None:
   break
  __A	:		Union[str, Any]	  =      right_child
 return root.get_data()


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 while True:
  __A	:		Union[str, Any]	  =      root.get_left()
  if left_child is None:
   break
  __A	:		int	  =      left_child
 return root.get_data()


def       _lowercase							(					UpperCamelCase__							:       MyNode,					UpperCamelCase__							:       Any      ):
 __A	:		List[Any]	  =      root.get_left()
 __A	:		int	  =      root.get_right()
 if root.get_data() == data:
  if left_child is not None and right_child is not None:
   __A	:		List[Any]	  =      get_left_most(UpperCamelCase__      )
   root.set_data(UpperCamelCase__      )
   root.set_right(del_node(UpperCamelCase__,					UpperCamelCase__      )      )
  elif left_child is not None:
   __A	:		Tuple	  =      left_child
  elif right_child is not None:
   __A	:		str	  =      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(UpperCamelCase__,					UpperCamelCase__      )      )
 else:  # root.get_data() < data
  if right_child is None:
   return root
  else:
   root.set_right(del_node(UpperCamelCase__,					UpperCamelCase__      )      )

 if get_height(UpperCamelCase__      ) - get_height(UpperCamelCase__      ) == 2:
  assert right_child is not None
  if get_height(right_child.get_right()      ) > get_height(right_child.get_left()      ):
   __A	:		List[str]	  =      left_rotation(UpperCamelCase__      )
  else:
   __A	:		Union[str, Any]	  =      rl_rotation(UpperCamelCase__      )
 elif get_height(UpperCamelCase__      ) - get_height(UpperCamelCase__      ) == -2:
  assert left_child is not None
  if get_height(left_child.get_left()      ) > get_height(left_child.get_right()      ):
   __A	:		str	  =      right_rotation(UpperCamelCase__      )
  else:
   __A	:		List[Any]	  =      lr_rotation(UpperCamelCase__      )
 __A	:		Tuple	  =      my_max(get_height(root.get_right()      ),					get_height(root.get_left()      )      ) + 1
 root.set_height(UpperCamelCase__      )
 return root

class     _lowerCamelCase       :




 '''simple docstring'''


 def __init__(   self    ):

  """simple docstring"""







  __A	:		MyNode | None	  =      None


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return get_height(self.root    )


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  print('insert:' + str(__lowercase    )    )
  __A	:		Optional[int]	  =      insert_node(self.root   ,   __lowercase    )


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  print('delete:' + str(__lowercase    )    )
  if self.root is None:
   print('Tree is empty!'    )
   return
  __A	:		List[Any]	  =      del_node(self.root   ,   __lowercase    )







 def __str__(   self   ,   ):  # a level traversale, gives a more intuitive look on the tree

  """simple docstring"""







  __A	:		Union[str, Any]	  =      ''
  __A	:		Optional[Any]	  =      MyQueue()
  q.push(self.root    )
  __A	:		Tuple	  =      self.get_height()
  if layer == 0:
   return output
  __A	:		List[Any]	  =      0
  while not q.is_empty():
   __A	:		Union[str, Any]	  =      q.pop()
   __A	:		Any	  =      ' ' * int(math.pow(2   ,   layer - 1    )    )
   output += space
   if node is None:
    output += "*"
    q.push(__lowercase    )
    q.push(__lowercase    )
   else:
    output += str(node.get_data()    )
    q.push(node.get_left()    )
    q.push(node.get_right()    )
   output += space
   __A	:		Optional[int]	  =      cnt + 1
   for i in range(100    ):
    if cnt == math.pow(2   ,   __lowercase    ) - 1:
     __A	:		Optional[int]	  =      layer - 1
     if layer == 0:
      output += "\n*************************************"
      return output
     output += "\n"
     break
  output += "\n*************************************"
  return output


def       _lowercase							(					):
 import doctest

 doctest.testmod()


if __name__ == "__main__":
 _test()
 UpperCAmelCase_			:  Optional[Any]										=   AVLtree()
 UpperCAmelCase_			:  Dict										=   list(range(1_0))
 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))






