code: 
  
  
  '''simple docstring'''
  
  
  
  
  from __future__ import annotations
  
  import unittest
  from collections.abc import Iterator
  
  
  
  
  
  class _snake_case   :
  							"""simple docstring"""
  
  
  
  
  
  							def __init__(   self			,				__A			,				__A	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      str											=					label
  											__lowerCamelCase		:      str											=					parent
  											__lowerCamelCase		:      Any											=					None
  											__lowerCamelCase		:      str											=					None
  
  
  
  
  
  class _snake_case   :
  							"""simple docstring"""
  
  
  
  
  
  							def __init__(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      str											=					None
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      Union[str, Any]											=					None
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->bool:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											return self.root is None
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      List[Any]											=					self._put(self.root			,				a_	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A			,				__A			,				__A = None	)     ->Node:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if node is None:
  															__lowerCamelCase		:      Union[str, Any]											=					Node(a_			,				a_	)
  											else:
  															if label < node.label:
  																			__lowerCamelCase		:      Any											=					self._put(node.left			,				a_			,				a_	)
  															elif label > node.label:
  																			__lowerCamelCase		:      List[Any]											=					self._put(node.right			,				a_			,				a_	)
  															else:
  																			__lowerCamelCase		:      Any											=					f'Node with label {label} already exists'
  																			raise Exception(a_	)
  
  											return node
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A	)     ->Node:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											return self._search(self.root			,				a_	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A			,				__A	)     ->Node:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if node is None:
  															__lowerCamelCase		:      Tuple											=					f'Node with label {label} does not exist'
  															raise Exception(a_	)
  											else:
  															if label < node.label:
  																			__lowerCamelCase		:      Union[str, Any]											=					self._search(node.left			,				a_	)
  															elif label > node.label:
  																			__lowerCamelCase		:      List[Any]											=					self._search(node.right			,				a_	)
  
  											return node
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      Optional[Any]											=					self.search(a_	)
  											if node.right and node.left:
  															__lowerCamelCase		:      Optional[int]											=					self._get_lowest_node(node.right	)
  															__lowerCamelCase		:      Optional[Any]											=					node.left
  															__lowerCamelCase		:      Any											=					node.right
  															__lowerCamelCase		:      List[str]											=					lowest_node
  															if node.right:
  																			__lowerCamelCase		:      Optional[Any]											=					lowest_node
  															self._reassign_nodes(a_			,				a_	)
  											elif not node.right and node.left:
  															self._reassign_nodes(a_			,				node.left	)
  											elif node.right and not node.left:
  															self._reassign_nodes(a_			,				node.right	)
  											else:
  															self._reassign_nodes(a_			,				a_	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A			,				__A	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if new_children:
  															__lowerCamelCase		:      List[Any]											=					node.parent
  
  											if node.parent:
  															if node.parent.right == node:
  																			__lowerCamelCase		:      Tuple											=					new_children
  															else:
  																			__lowerCamelCase		:      Dict											=					new_children
  											else:
  															__lowerCamelCase		:      Dict											=					new_children
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A	)     ->Node:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if node.left:
  															__lowerCamelCase		:      Any											=					self._get_lowest_node(node.left	)
  											else:
  															__lowerCamelCase		:      Dict											=					node
  															self._reassign_nodes(a_			,				node.right	)
  
  											return lowest_node
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A	)     ->bool:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											try:
  															self.search(a_	)
  															return True
  											except Exception:
  															return False
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->int:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if self.root is None:
  															raise Exception("Binary search tree is empty"	)
  
  											__lowerCamelCase		:      List[Any]											=					self.root
  											while node.right is not None:
  															__lowerCamelCase		:      Any											=					node.right
  
  											return node.label
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->int:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if self.root is None:
  															raise Exception("Binary search tree is empty"	)
  
  											__lowerCamelCase		:      Union[str, Any]											=					self.root
  											while node.left is not None:
  															__lowerCamelCase		:      int											=					node.left
  
  											return node.label
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Iterator[Node]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											return self._inorder_traversal(self.root	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A	)     ->Iterator[Node]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if node is not None:
  															yield from self._inorder_traversal(node.left	)
  															yield node
  															yield from self._inorder_traversal(node.right	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Iterator[Node]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											return self._preorder_traversal(self.root	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self			,				__A	)     ->Iterator[Node]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											if node is not None:
  															yield node
  															yield from self._preorder_traversal(node.left	)
  															yield from self._preorder_traversal(node.right	)
  
  
  
  
  
  class _snake_case   ( unittest.TestCase   ):
  							"""simple docstring"""
  
  
  
  
  
  							@staticmethod
  							def 		__SCREAMING_SNAKE_CASE(   )     ->BinarySearchTree:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      str											=					BinarySearchTree()
  											t.put(8	)
  											t.put(3	)
  											t.put(6	)
  											t.put(1	)
  											t.put(10	)
  											t.put(14	)
  											t.put(13	)
  											t.put(4	)
  											t.put(7	)
  											t.put(5	)
  
  											return t
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      Optional[Any]											=					BinarySearchTree()
  											assert t.is_empty()
  
  											t.put(8	)
  											assert t.root is not None
  											assert t.root.parent is None
  											assert t.root.label == 8
  
  											t.put(10	)
  											assert t.root.right is not None
  											assert t.root.right.parent == t.root
  											assert t.root.right.label == 10
  
  											t.put(3	)
  											assert t.root.left is not None
  											assert t.root.left.parent == t.root
  											assert t.root.left.label == 3
  
  											t.put(6	)
  											assert t.root.left.right is not None
  											assert t.root.left.right.parent == t.root.left
  											assert t.root.left.right.label == 6
  
  											t.put(1	)
  											assert t.root.left.left is not None
  											assert t.root.left.left.parent == t.root.left
  											assert t.root.left.left.label == 1
  
  											with self.assertRaises(a_	):  # noqa: B017
  															t.put(1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      str											=					self._get_binary_search_tree()
  
  											__lowerCamelCase		:      Union[str, Any]											=					t.search(6	)
  											assert node.label == 6
  
  											__lowerCamelCase		:      Tuple											=					t.search(13	)
  											assert node.label == 13
  
  											with self.assertRaises(a_	):  # noqa: B017
  															t.search(2	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      str											=					self._get_binary_search_tree()
  
  											t.remove(13	)
  											assert t.root is not None
  											assert t.root.right is not None
  											assert t.root.right.right is not None
  											assert t.root.right.right.right is None
  											assert t.root.right.right.left is None
  
  											t.remove(7	)
  											assert t.root.left is not None
  											assert t.root.left.right is not None
  											assert t.root.left.right.left is not None
  											assert t.root.left.right.right is None
  											assert t.root.left.right.left.label == 4
  
  											t.remove(6	)
  											assert t.root.left.left is not None
  											assert t.root.left.right.right is not None
  											assert t.root.left.left.label == 1
  											assert t.root.left.right.label == 4
  											assert t.root.left.right.right.label == 5
  											assert t.root.left.right.left is None
  											assert t.root.left.left.parent == t.root.left
  											assert t.root.left.right.parent == t.root.left
  
  											t.remove(3	)
  											assert t.root is not None
  											assert t.root.left.label == 4
  											assert t.root.left.right.label == 5
  											assert t.root.left.left.label == 1
  											assert t.root.left.parent == t.root
  											assert t.root.left.left.parent == t.root.left
  											assert t.root.left.right.parent == t.root.left
  
  											t.remove(4	)
  											assert t.root.left is not None
  											assert t.root.left.left is not None
  											assert t.root.left.label == 5
  											assert t.root.left.right is None
  											assert t.root.left.left.label == 1
  											assert t.root.left.parent == t.root
  											assert t.root.left.left.parent == t.root.left
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      Tuple											=					self._get_binary_search_tree()
  
  											t.remove(3	)
  											assert t.root is not None
  											assert t.root.left is not None
  											assert t.root.left.left is not None
  											assert t.root.left.right is not None
  											assert t.root.left.right.left is not None
  											assert t.root.left.right.right is not None
  											assert t.root.left.label == 4
  											assert t.root.left.right.label == 6
  											assert t.root.left.left.label == 1
  											assert t.root.left.right.right.label == 7
  											assert t.root.left.right.left.label == 5
  											assert t.root.left.parent == t.root
  											assert t.root.left.right.parent == t.root.left
  											assert t.root.left.left.parent == t.root.left
  											assert t.root.left.right.left.parent == t.root.left.right
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      Tuple											=					self._get_binary_search_tree()
  											t.empty()
  											assert t.root is None
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      List[str]											=					self._get_binary_search_tree()
  											assert not t.is_empty()
  
  											t.empty()
  											assert t.is_empty()
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      str											=					self._get_binary_search_tree()
  
  											assert t.exists(6	)
  											assert not t.exists(-1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      Dict											=					self._get_binary_search_tree()
  
  											assert t.get_max_label() == 14
  
  											t.empty()
  											with self.assertRaises(a_	):  # noqa: B017
  															t.get_max_label()
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      int											=					self._get_binary_search_tree()
  
  											assert t.get_min_label() == 1
  
  											t.empty()
  											with self.assertRaises(a_	):  # noqa: B017
  															t.get_min_label()
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      int											=					self._get_binary_search_tree()
  
  											__lowerCamelCase		:      Tuple											=					[i.label for i in t.inorder_traversal()]
  											assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->None:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											__lowerCamelCase		:      int											=					self._get_binary_search_tree()
  
  											__lowerCamelCase		:      List[Any]											=					[i.label for i in t.preorder_traversal()]
  											assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]
  
  
  
  
  
  def 							a_       (						)			->List[Any]:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      Optional[Any]											=					BinarySearchTree()
  				t.put(8    )
  				t.put(3    )
  				t.put(6    )
  				t.put(1    )
  				t.put(10    )
  				t.put(14    )
  				t.put(13    )
  				t.put(4    )
  				t.put(7    )
  				t.put(5    )
  
  				print(
  				    "\n            8\n           / \\\n          3   10\n         / \\    \\\n        1   6    14\n           / \\   /\n          4   7 13\n           \\\n            5\n        "    )
  
  				print("Label 6 exists:"							,						t.exists(6    )    )
  				print("Label 13 exists:"							,						t.exists(13    )    )
  				print("Label -1 exists:"							,						t.exists(-1    )    )
  				print("Label 12 exists:"							,						t.exists(12    )    )
  
  				# Prints all the elements of the list in inorder traversal
  				__lowerCamelCase		:      List[Any]											=					[i.label for i in t.inorder_traversal()]
  				print("Inorder traversal:"							,						UpperCamelCase__    )
  
  				# Prints all the elements of the list in preorder traversal
  				__lowerCamelCase		:      Any											=					[i.label for i in t.preorder_traversal()]
  				print("Preorder traversal:"							,						UpperCamelCase__    )
  
  				print("Max. label:"							,						t.get_max_label()    )
  				print("Min. label:"							,						t.get_min_label()    )
  
  				# Delete elements
  				print("\nDeleting elements 13, 10, 8, 3, 6, 14"    )
  				print(
  				    "\n          4\n         / \\\n        1   7\n             \\\n              5\n        "    )
  				t.remove(13    )
  				t.remove(10    )
  				t.remove(8    )
  				t.remove(3    )
  				t.remove(6    )
  				t.remove(14    )
  
  				# Prints all the elements of the list in inorder traversal after delete
  				__lowerCamelCase		:      int											=					[i.label for i in t.inorder_traversal()]
  				print("Inorder traversal after delete:"							,						UpperCamelCase__    )
  
  				# Prints all the elements of the list in preorder traversal after delete
  				__lowerCamelCase		:      Optional[Any]											=					[i.label for i in t.preorder_traversal()]
  				print("Preorder traversal after delete:"							,						UpperCamelCase__    )
  
  				print("Max. label:"							,						t.get_max_label()    )
  				print("Min. label:"							,						t.get_min_label()    )
  
  
  if __name__ == "__main__":
  						binary_search_tree_example()
  
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  
  import unittest
  from functools import partial
  
  import torch
  
  from accelerate import Accelerator, debug_launcher
  from accelerate.state import AcceleratorState, GradientState
  from accelerate.test_utils import require_cpu, require_huggingface_suite
  from accelerate.utils import GradientAccumulationPlugin
  
  
  
  
  
  def 							a_       (						lowercase=2							,						lowercase=True							,						lowercase=False    )			->Optional[Any]:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      List[str]											=					Accelerator(step_scheduler_with_optimizer=lowercase							,						split_batches=lowercase    )
  				__lowerCamelCase		:      Union[str, Any]											=					torch.nn.Linear(2							,						4    )
  				__lowerCamelCase		:      str											=					torch.optim.AdamW(model.parameters()							,						lr=1.0    )
  				__lowerCamelCase		:      List[str]											=					torch.optim.lr_scheduler.OneCycleLR(lowercase							,						max_lr=0.0_1							,						steps_per_epoch=2							,						epochs=1    )
  				__lowerCamelCase						,					__lowerCamelCase						,					__lowerCamelCase		:      List[Any]											=					accelerator.prepare(lowercase							,						lowercase							,						lowercase    )
  
  				# Optimizer has stepped
  				scheduler.step()
  				if step_scheduler_with_optimizer or (num_processes == 1):
  								assert (
  								    scheduler.scheduler.last_epoch == num_processes
  								), F'Last Epoch ({scheduler.scheduler.last_epoch}) != Num Processes ({num_processes})'
  				else:
  								assert (
  								    scheduler.scheduler.last_epoch != num_processes
  								), F'Last Epoch ({scheduler.scheduler.last_epoch}) == Num Processes ({num_processes})'
  
  
  
  
  
  def 							a_       (						lowercase=2							,						lowercase=True							,						lowercase=False    )			->Dict:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      Dict											=					Accelerator(step_scheduler_with_optimizer=lowercase							,						split_batches=lowercase    )
  				__lowerCamelCase		:      Tuple											=					torch.nn.Linear(2							,						4    )
  				__lowerCamelCase		:      Optional[Any]											=					torch.optim.AdamW(model.parameters()							,						lr=1.0    )
  				__lowerCamelCase		:      Optional[Any]											=					torch.optim.lr_scheduler.LambdaLR(lowercase							,						lr_lambda=lambda lowercase    : 1 - n / 10    )
  				__lowerCamelCase						,					__lowerCamelCase						,					__lowerCamelCase		:      Optional[int]											=					accelerator.prepare(lowercase							,						lowercase							,						lowercase    )
  
  				# Optimizer has stepped
  				__lowerCamelCase		:      List[Any]											=					False
  				scheduler.step()
  				__lowerCamelCase		:      List[Any]											=					1 - (num_processes if (step_scheduler_with_optimizer and not split_batches) else 1) / 10
  				assert (
  				    scheduler.get_last_lr()[0] == expected_lr
  				), F'Wrong lr found at first step, expected {expected_lr}, got {scheduler.get_last_lr()[0]}'
  
  				# Optimizer has not stepped
  				__lowerCamelCase		:      Any											=					True
  				scheduler.step()
  				if not step_scheduler_with_optimizer:
  								__lowerCamelCase		:      int											=					1 - 2 / 10
  				assert (
  				    scheduler.get_last_lr()[0] == expected_lr
  				), F'Wrong lr found at second step, expected {expected_lr}, got {scheduler.get_last_lr()[0]}'
  
  
  
  
  
  def 							a_       (						lowercase = 2    )			->Dict:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				from transformers import get_linear_schedule_with_warmup
  
  				__lowerCamelCase		:      str											=					[1, 2, 4]
  				for num_steps in steps:
  								__lowerCamelCase		:      List[Any]											=					GradientAccumulationPlugin(num_steps=lowercase							,						adjust_scheduler=num_steps > 1    )
  								__lowerCamelCase		:      Dict											=					Accelerator(gradient_accumulation_plugin=lowercase    )
  								__lowerCamelCase		:      Any											=					torch.nn.Linear(2							,						4    )
  								__lowerCamelCase		:      List[Any]											=					torch.optim.AdamW(model.parameters()							,						lr=1_0.0    )
  								__lowerCamelCase		:      Optional[Any]											=					get_linear_schedule_with_warmup(optimizer=lowercase							,						num_warmup_steps=0							,						num_training_steps=20    )
  
  								__lowerCamelCase						,					__lowerCamelCase						,					__lowerCamelCase		:      Optional[int]											=					accelerator.prepare(lowercase							,						lowercase							,						lowercase    )
  
  								for i in range(10 * num_steps    ):
  												with accelerator.accumulate(lowercase    ):
  																optimizer.step()
  																scheduler.step()
  
  												if i == (10 * num_steps - 2):
  																assert (
  																    scheduler.get_last_lr()[0] != 0
  																), F'Wrong lr found at second-to-last step, expected non-zero, got {scheduler.get_last_lr()[0]}. num_steps: {num_steps}'
  								assert (
  								    scheduler.get_last_lr()[0] == 0
  								), F'Wrong lr found at last step, expected 0, got {scheduler.get_last_lr()[0]}'
  								GradientState._reset_state()
  
  
  
  
  
  @require_cpu
  class _snake_case   ( unittest.TestCase   ):
  							"""simple docstring"""
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Tuple:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											debug_launcher(partial(__A			,				num_processes=1	)			,				num_processes=1	)
  											debug_launcher(partial(__A			,				num_processes=1			,				split_batches=__A	)			,				num_processes=1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Tuple:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											debug_launcher(partial(__A			,				num_processes=1	)			,				num_processes=1	)
  											debug_launcher(partial(__A			,				num_processes=1			,				split_batches=__A	)			,				num_processes=1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Optional[Any]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											debug_launcher(partial(__A			,				num_processes=1			,				step_scheduler_with_optimizer=__A	)			,				num_processes=1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Dict:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											debug_launcher(partial(__A			,				num_processes=1			,				step_scheduler_with_optimizer=__A	)			,				num_processes=1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Optional[int]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											AcceleratorState._reset_state(__A	)
  											debug_launcher(__A	)
  											debug_launcher(partial(__A			,				num_processes=1			,				split_batches=__A	)			,				num_processes=1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Union[str, Any]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											AcceleratorState._reset_state(__A	)
  											debug_launcher(__A	)
  											debug_launcher(partial(__A			,				num_processes=1			,				split_batches=__A	)			,				num_processes=1	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Any:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											AcceleratorState._reset_state(__A	)
  											debug_launcher(partial(__A			,				step_scheduler_with_optimizer=__A	)	)
  
  
  
  
  
  
  
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->List[Any]:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											AcceleratorState._reset_state(__A	)
  											debug_launcher(partial(__A			,				step_scheduler_with_optimizer=__A	)	)
  
  
  
  
  
  
  
  							@require_huggingface_suite
  							def 		__SCREAMING_SNAKE_CASE(   self	)     ->Dict:
  
  
  
  											"""simple docstring"""
  
  
  
  
  
  
  
  											AcceleratorState._reset_state(__A	)
  											debug_launcher(partial(__A			,				num_processes=1	)	)
  											debug_launcher(__A	)
  
  
  
  
  
  