'''simple docstring'''




import inspect
import os

import torch
from transformers import AutoModel
from transformers.testing_utils import mockenv_context
from transformers.trainer_utils import set_seed

import accelerate
from accelerate.accelerator import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils.testing import (
    AccelerateTestCase,
    TempDirTestCase,
    execute_subprocess_async,
    require_cuda,
    require_fsdp,
    require_multi_gpu,
    slow,
)
from accelerate.utils.constants import (
    FSDP_AUTO_WRAP_POLICY,
    FSDP_BACKWARD_PREFETCH,
    FSDP_SHARDING_STRATEGY,
    FSDP_STATE_DICT_TYPE,
)
from accelerate.utils.dataclasses import FullyShardedDataParallelPlugin
from accelerate.utils.other import patch_environment


set_seed(42)

_lowercase						: Tuple						=						"bert-base-cased"
_lowercase						: Optional[Any]						=						"fp16"
_lowercase						: List[str]						=						"bf16"
_lowercase						: int						=						[FPaa, BFaa]





@require_fsdp
@require_cuda
class     __magic_name__						(    _UpperCAmelCase):







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										super().setUp()

										lowercase_					:			List[str]										=       dict(
										    ACCELERATE_USE_FSDP="""true"""				,			MASTER_ADDR="""localhost"""				,			MASTER_PORT="""10999"""				,			RANK="""0"""				,			LOCAL_RANK="""0"""				,			WORLD_SIZE="""1"""				,			)







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										from torch.distributed.fsdp.fully_sharded_data_parallel import ShardingStrategy

										for i, strategy in enumerate(lowercase_    ):
																	lowercase_					:			Optional[int]										=       self.dist_env.copy()
																	lowercase_					:			Optional[int]										=       f'''{i + 1}'''
																	lowercase_					:			Dict										=       strategy
																	with mockenv_context(**lowercase_    ):
																								lowercase_					:			int										=       FullyShardedDataParallelPlugin()
																								self.assertEqual(fsdp_plugin.sharding_strategy				,			ShardingStrategy(i + 1    )    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[Any]    ):
										from torch.distributed.fsdp.fully_sharded_data_parallel import BackwardPrefetch

										for i, prefetch_policy in enumerate(lowercase_    ):
																	lowercase_					:			Union[str, Any]										=       self.dist_env.copy()
																	lowercase_					:			int										=       prefetch_policy
																	with mockenv_context(**lowercase_    ):
																								lowercase_					:			Any										=       FullyShardedDataParallelPlugin()
																								if prefetch_policy == "NO_PREFETCH":
																															self.assertIsNone(fsdp_plugin.backward_prefetch    )
																								else:
																															self.assertEqual(fsdp_plugin.backward_prefetch				,			BackwardPrefetch(i + 1    )    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType

										for i, state_dict_type in enumerate(lowercase_    ):
																	lowercase_					:			Any										=       self.dist_env.copy()
																	lowercase_					:			str										=       state_dict_type
																	with mockenv_context(**lowercase_    ):
																								lowercase_					:			Tuple										=       FullyShardedDataParallelPlugin()
																								self.assertEqual(fsdp_plugin.state_dict_type				,			StateDictType(i + 1    )    )
																								if state_dict_type == "FULL_STATE_DICT":
																															self.assertTrue(fsdp_plugin.state_dict_config.offload_to_cpu    )
																															self.assertTrue(fsdp_plugin.state_dict_config.ranka_only    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]    ):
										lowercase_					:			Dict										=       AutoModel.from_pretrained(lowercase_    )
										for policy in FSDP_AUTO_WRAP_POLICY:
																	lowercase_					:			Tuple										=       self.dist_env.copy()
																	lowercase_					:			int										=       policy
																	if policy == "TRANSFORMER_BASED_WRAP":
																								lowercase_					:			List[Any]										=       """BertLayer"""
																	elif policy == "SIZE_BASED_WRAP":
																								lowercase_					:			Optional[Any]										=       """2000"""
																	with mockenv_context(**lowercase_    ):
																								lowercase_					:			List[str]										=       FullyShardedDataParallelPlugin()
																								fsdp_plugin.set_auto_wrap_policy(lowercase_    )
																								if policy == "NO_WRAP":
																															self.assertIsNone(fsdp_plugin.auto_wrap_policy    )
																								else:
																															self.assertIsNotNone(fsdp_plugin.auto_wrap_policy    )

										lowercase_					:			Any										=       self.dist_env.copy()
										lowercase_					:			Optional[int]										=       """TRANSFORMER_BASED_WRAP"""
										lowercase_					:			List[str]										=       """T5Layer"""
										with mockenv_context(**lowercase_    ):
																	lowercase_					:			str										=       FullyShardedDataParallelPlugin()
																	with self.assertRaises(lowercase_    ) as cm:
																								fsdp_plugin.set_auto_wrap_policy(lowercase_    )
																	self.assertTrue("""Could not find the transformer layer class to wrap in the model.""" in str(cm.exception    )    )

										lowercase_					:			Dict										=       self.dist_env.copy()
										lowercase_					:			int										=       """SIZE_BASED_WRAP"""
										lowercase_					:			Dict										=       """0"""
										with mockenv_context(**lowercase_    ):
																	lowercase_					:			List[Any]										=       FullyShardedDataParallelPlugin()
																	fsdp_plugin.set_auto_wrap_policy(lowercase_    )
																	self.assertIsNone(fsdp_plugin.auto_wrap_policy    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
										from torch.distributed.fsdp.sharded_grad_scaler import ShardedGradScaler

										for mp_dtype in dtypes:
																	lowercase_					:			Optional[Any]										=       self.dist_env.copy()
																	lowercase_					:			Dict										=       mp_dtype
																	with mockenv_context(**lowercase_    ):
																								lowercase_					:			Dict										=       Accelerator()
																								if mp_dtype == "fp16":
																															lowercase_					:			str										=       torch.floataa
																								elif mp_dtype == "bf16":
																															lowercase_					:			List[Any]										=       torch.bfloataa
																								lowercase_					:			int										=       MixedPrecision(param_dtype=lowercase_				,			reduce_dtype=lowercase_				,			buffer_dtype=lowercase_    )
																								self.assertEqual(accelerator.state.fsdp_plugin.mixed_precision_policy				,			lowercase_    )
																								if mp_dtype == FPaa:
																															self.assertTrue(isinstance(accelerator.scaler				,			lowercase_    )    )
																								elif mp_dtype == BFaa:
																															self.assertIsNone(accelerator.scaler    )
																								AcceleratorState._reset_state(lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]    ):
										from torch.distributed.fsdp.fully_sharded_data_parallel import CPUOffload

										for flag in [True, False]:
																	lowercase_					:			Optional[Any]										=       self.dist_env.copy()
																	lowercase_					:			List[str]										=       str(lowercase_    ).lower()
																	with mockenv_context(**lowercase_    ):
																								lowercase_					:			List[Any]										=       FullyShardedDataParallelPlugin()
																								self.assertEqual(fsdp_plugin.cpu_offload				,			CPUOffload(offload_params=lowercase_    )    )





@require_fsdp
@require_multi_gpu
@slow
class     __magic_name__						(    _UpperCAmelCase):







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]    ):
										super().setUp()
										lowercase_					:			Any										=       0.82
										lowercase_					:			Any										=       [
										    """fsdp_shard_grad_op_transformer_based_wrap""",
										    """fsdp_full_shard_transformer_based_wrap""",
										]
										lowercase_					:			Any										=       {
										    """multi_gpu_fp16""": 3200,
										    """fsdp_shard_grad_op_transformer_based_wrap_fp16""": 2000,
										    """fsdp_full_shard_transformer_based_wrap_fp16""": 1900,
										    # Disabling below test as it overwhelms the RAM memory usage
										    # on CI self-hosted runner leading to tests getting killed.
										    # "fsdp_full_shard_cpu_offload_transformer_based_wrap_fp32": 1500,  # fp16 was leading to indefinite hang
										}
										lowercase_					:			Dict										=       160
										lowercase_					:			List[str]										=       160

										lowercase_					:			Any										=       inspect.getfile(accelerate.test_utils    )
										lowercase_					:			Union[str, Any]										=       os.path.sep.join(mod_file.split(os.path.sep    )[:-1] + ["""scripts""", """external_deps"""]    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										lowercase_					:			List[Any]										=       os.path.join(self.test_scripts_folder				,			"""test_performance.py"""    )
										lowercase_					:			List[Any]										=       ["""accelerate""", """launch""", """--num_processes=2""", """--num_machines=1""", """--machine_rank=0""", """--use_fsdp"""]
										for config in self.performance_configs:
																	lowercase_					:			str										=       cmd.copy()
																	for i, strategy in enumerate(lowercase_    ):
																								if strategy.lower() in config:
																															cmd_config.append(f'''--fsdp_sharding_strategy={i+1}'''    )
																															break

																	if "fp32" in config:
																								cmd_config.append("""--mixed_precision=no"""    )
																	else:
																								cmd_config.append("""--mixed_precision=fp16"""    )

																	if "cpu_offload" in config:
																								cmd_config.append("""--fsdp_offload_params=True"""    )

																	for policy in FSDP_AUTO_WRAP_POLICY:
																								if policy.lower() in config:
																															cmd_config.append(f'''--fsdp_auto_wrap_policy={policy}'''    )
																															break

																	if policy == "TRANSFORMER_BASED_WRAP":
																								cmd_config.append("""--fsdp_transformer_layer_cls_to_wrap=BertLayer"""    )
																	elif policy == "SIZE_BASED_WRAP":
																								cmd_config.append("""--fsdp_min_num_params=2000"""    )

																	cmd_config.extend(
																	    [
																	        self.test_file_path,
																	        f'''--output_dir={self.tmpdir}''',
																	        f'''--performance_lower_bound={self.performance_lower_bound}''',
																	    ]    )
																	with patch_environment(omp_num_threads=1    ):
																								execute_subprocess_async(lowercase_				,			env=os.environ.copy()    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										lowercase_					:			Optional[int]										=       os.path.join(self.test_scripts_folder				,			"""test_checkpointing.py"""    )
										lowercase_					:			str										=       [
										    """accelerate""",
										    """launch""",
										    """--num_processes=2""",
										    """--num_machines=1""",
										    """--machine_rank=0""",
										    """--use_fsdp""",
										    """--mixed_precision=fp16""",
										    """--fsdp_transformer_layer_cls_to_wrap=BertLayer""",
										]

										for i, strategy in enumerate(lowercase_    ):
																	lowercase_					:			Union[str, Any]										=       cmd.copy()
																	cmd_config.append(f'''--fsdp_sharding_strategy={i+1}'''    )
																	if strategy != "FULL_SHARD":
																								continue
																	lowercase_					:			int										=       len(lowercase_    )
																	for state_dict_type in FSDP_STATE_DICT_TYPE:
																								lowercase_					:			List[Any]										=       cmd_config[:state_dict_config_index]
																								cmd_config.append(f'''--fsdp_state_dict_type={state_dict_type}'''    )
																								cmd_config.extend(
																								    [
																								        self.test_file_path,
																								        f'''--output_dir={self.tmpdir}''',
																								        """--partial_train_epoch=1""",
																								    ]    )
																								with patch_environment(omp_num_threads=1    ):
																															execute_subprocess_async(lowercase_				,			env=os.environ.copy()    )

																								lowercase_					:			Tuple										=       cmd_config[:-1]
																								lowercase_					:			Union[str, Any]										=       os.path.join(self.tmpdir				,			"""epoch_0"""    )
																								cmd_config.extend(
																								    [
																								        f'''--resume_from_checkpoint={resume_from_checkpoint}''',
																								    ]    )
																								with patch_environment(omp_num_threads=1    ):
																															execute_subprocess_async(lowercase_				,			env=os.environ.copy()    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int    ):
										lowercase_					:			str										=       os.path.join(self.test_scripts_folder				,			"""test_peak_memory_usage.py"""    )
										lowercase_					:			Dict										=       [
										    """accelerate""",
										    """launch""",
										    """--num_processes=2""",
										    """--num_machines=1""",
										    """--machine_rank=0""",
										]
										for spec, peak_mem_upper_bound in self.peak_memory_usage_upper_bound.items():
																	lowercase_					:			Union[str, Any]										=       cmd.copy()
																	if "fp16" in spec:
																								cmd_config.extend(["""--mixed_precision=fp16"""]    )
																	else:
																								cmd_config.extend(["""--mixed_precision=no"""]    )

																	if "multi_gpu" in spec:
																								continue
																	else:
																								cmd_config.extend(["""--use_fsdp"""]    )
																								for i, strategy in enumerate(lowercase_    ):
																															if strategy.lower() in spec:
																																						cmd_config.append(f'''--fsdp_sharding_strategy={i+1}'''    )
																																						break

																								if "cpu_offload" in spec:
																															cmd_config.append("""--fsdp_offload_params=True"""    )

																								for policy in FSDP_AUTO_WRAP_POLICY:
																															if policy.lower() in spec:
																																						cmd_config.append(f'''--fsdp_auto_wrap_policy={policy}'''    )
																																						break

																								if policy == "TRANSFORMER_BASED_WRAP":
																															cmd_config.append("""--fsdp_transformer_layer_cls_to_wrap=BertLayer"""    )
																								elif policy == "SIZE_BASED_WRAP":
																															cmd_config.append("""--fsdp_min_num_params=2000"""    )

																	cmd_config.extend(
																	    [
																	        self.test_file_path,
																	        f'''--output_dir={self.tmpdir}''',
																	        f'''--peak_memory_upper_bound={peak_mem_upper_bound}''',
																	        f'''--n_train={self.n_train}''',
																	        f'''--n_val={self.n_val}''',
																	    ]    )
																	with patch_environment(omp_num_threads=1    ):
																								execute_subprocess_async(lowercase_				,			env=os.environ.copy()    )






'''simple docstring'''




from __future__ import annotations

import math
import random
from typing import Any





class     __magic_name__						:







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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int    ):
										return self.head == self.tail







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]				,			lowercase_				:  Any    ):
										self.data.append(lowercase_    )
										lowercase_					:			Optional[Any]										=       self.tail + 1







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										lowercase_					:			List[Any]										=       self.data[self.head]
										lowercase_					:			Optional[int]										=       self.head + 1
										return ret







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]    ):
										return self.tail - self.head







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





class     __magic_name__						:







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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple    ):
										return self.data







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										return self.left







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										return self.right







			def 	SCREAMING_SNAKE_CASE_     (	self				:  str    ):
										return self.height







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  Any    ):
										lowercase_					:			Dict										=       data







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]				,			lowercase_				:  MyNode | None    ):
										lowercase_					:			Optional[Any]										=       node







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple				,			lowercase_				:  MyNode | None    ):
										lowercase_					:			str										=       node







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  int    ):
										lowercase_					:			Tuple										=       height




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode | None )			->      int:
							if node is None:
														return 0
							return node.get_height()




def 							lowerCamelCase	(      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					int )			->      int:
							if a > b:
														return a
							return b




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							print("""left rotation node:"""      ,      node.get_data() )
							lowercase_					:			Union[str, Any]										=       node.get_left()
							assert ret is not None
							node.set_left(ret.get_right() )
							ret.set_right(UpperCAmelCase__ )
							lowercase_					:			Any										=       my_max(get_height(node.get_right() )      ,      get_height(node.get_left() ) ) + 1
							node.set_height(UpperCAmelCase__ )
							lowercase_					:			Optional[int]										=       my_max(get_height(ret.get_right() )      ,      get_height(ret.get_left() ) ) + 1
							ret.set_height(UpperCAmelCase__ )
							return ret




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							print("""right rotation node:"""      ,      node.get_data() )
							lowercase_					:			Dict										=       node.get_right()
							assert ret is not None
							node.set_right(ret.get_left() )
							ret.set_left(UpperCAmelCase__ )
							lowercase_					:			Tuple										=       my_max(get_height(node.get_right() )      ,      get_height(node.get_left() ) ) + 1
							node.set_height(UpperCAmelCase__ )
							lowercase_					:			str										=       my_max(get_height(ret.get_right() )      ,      get_height(ret.get_left() ) ) + 1
							ret.set_height(UpperCAmelCase__ )
							return ret




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							lowercase_					:			Optional[Any]										=       node.get_left()
							assert left_child is not None
							node.set_left(left_rotation(UpperCAmelCase__ ) )
							return right_rotation(UpperCAmelCase__ )




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							lowercase_					:			Optional[Any]										=       node.get_right()
							assert right_child is not None
							node.set_right(right_rotation(UpperCAmelCase__ ) )
							return left_rotation(UpperCAmelCase__ )




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode | None      ,      UpperCAmelCase__       :					Any )			->      MyNode | None:
							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
																					lowercase_					:			List[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
																												lowercase_					:			List[Any]										=       right_rotation(UpperCAmelCase__ )
																					else:
																												lowercase_					:			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:
																					lowercase_					:			Any										=       node.get_right()
																					assert right_child is not None
																					if data < right_child.get_data():
																												lowercase_					:			Optional[int]										=       rl_rotation(UpperCAmelCase__ )
																					else:
																												lowercase_					:			Optional[int]										=       left_rotation(UpperCAmelCase__ )
							lowercase_					:			Optional[int]										=       my_max(get_height(node.get_right() )      ,      get_height(node.get_left() ) ) + 1
							node.set_height(UpperCAmelCase__ )
							return node




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      Any:
							while True:
														lowercase_					:			Any										=       root.get_right()
														if right_child is None:
																					break
														lowercase_					:			List[str]										=       right_child
							return root.get_data()




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      Any:
							while True:
														lowercase_					:			List[Any]										=       root.get_left()
														if left_child is None:
																					break
														lowercase_					:			str										=       left_child
							return root.get_data()




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode      ,      UpperCAmelCase__       :					Any )			->      MyNode | None:
							lowercase_					:			Union[str, Any]										=       root.get_left()
							lowercase_					:			int										=       root.get_right()
							if root.get_data() == data:
														if left_child is not None and right_child is not None:
																					lowercase_					:			Any										=       get_left_most(UpperCAmelCase__ )
																					root.set_data(UpperCAmelCase__ )
																					root.set_right(del_node(UpperCAmelCase__      ,      UpperCAmelCase__ ) )
														elif left_child is not None:
																					lowercase_					:			Dict										=       left_child
														elif right_child is not None:
																					lowercase_					:			Dict										=       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() ):
																					lowercase_					:			str										=       left_rotation(UpperCAmelCase__ )
														else:
																					lowercase_					:			List[str]										=       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() ):
																					lowercase_					:			Optional[Any]										=       right_rotation(UpperCAmelCase__ )
														else:
																					lowercase_					:			List[str]										=       lr_rotation(UpperCAmelCase__ )
							lowercase_					:			int										=       my_max(get_height(root.get_right() )      ,      get_height(root.get_left() ) ) + 1
							root.set_height(UpperCAmelCase__ )
							return root





class     __magic_name__						:







			def __init__(	self				:  List[str]    ):
										lowercase_					:			MyNode | None										=       None







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]    ):
										return get_height(self.root    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  Any    ):
										print("""insert:""" + str(lowercase_    )    )
										lowercase_					:			Dict										=       insert_node(self.root				,			lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  Any    ):
										print("""delete:""" + str(lowercase_    )    )
										if self.root is None:
																	print("""Tree is empty!"""    )
																	return
										lowercase_					:			int										=       del_node(self.root				,			lowercase_    )







			def __str__(	self				:  Optional[int]				,			):  # a level traversale, gives a more intuitive look on the tree
										lowercase_					:			int										=       """"""
										lowercase_					:			Optional[int]										=       MyQueue()
										q.push(self.root    )
										lowercase_					:			Optional[Any]										=       self.get_height()
										if layer == 0:
																	return output
										lowercase_					:			Optional[int]										=       0
										while not q.is_empty():
																	lowercase_					:			Any										=       q.pop()
																	lowercase_					:			List[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
																	lowercase_					:			Union[str, Any]										=       cnt + 1
																	for i in range(100    ):
																								if cnt == math.pow(2				,			lowercase_    ) - 1:
																															lowercase_					:			Optional[Any]										=       layer - 1
																															if layer == 0:
																																						output += "\n*************************************"
																																						return output
																															output += "\n"
																															break
										output += "\n*************************************"
										return output




def 							lowerCamelCase	(      )			->      None:
							import doctest

							doctest.testmod()


if __name__ == "__main__":
						_test()
						_lowercase						: Optional[Any]						=						AVLtree()
						_lowercase						: Optional[Any]						=						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))





