'''simple docstring'''


class 						A   :





							def __init__(      self				:							Optional[Any]     ,		__a				:							int     ,		__a				:							List[str]=None     ,		__a				:							Optional[Any]=None	)							->	Dict:
								__UpperCAmelCase							=			data
								__UpperCAmelCase							=			previous
								__UpperCAmelCase							=			next_node





							def __str__(      self				:							Tuple	)							->	str:
								return f"""{self.data}"""





							def       snake_case__						(      self				:							Dict	)							->	int:
								return self.data





							def       snake_case__						(      self				:							List[Any]	)							->	Any:
								return self.next






							def       snake_case__						(      self				:							str	)							->	Dict:
								return self.previous






class 						A   :





							def __init__(      self				:							List[str]     ,		__a				:							Union[str, Any]	)							->	Optional[Any]:
								__UpperCAmelCase							=			head





							def __iter__(      self				:							Tuple	)							->	List[Any]:
								return self






							def       snake_case__						(      self				:							List[str]	)							->	List[Any]:
								if not self.current:
									raise StopIteration
								else:
									__UpperCAmelCase							=			self.current.get_data()
									__UpperCAmelCase							=			self.current.get_next()
									return value






class 						A   :





							def __init__(      self				:							int	)							->	int:
								__UpperCAmelCase							=			None  # First node in list
								__UpperCAmelCase							=			None  # Last node in list





							def __str__(      self				:							List[str]	)							->	List[str]:
								__UpperCAmelCase							=			self.head
								__UpperCAmelCase							=			[]
								while current is not None:
									nodes.append(current.get_data()	)
									__UpperCAmelCase							=			current.get_next()
								return " ".join(str(__a	) for node in nodes	)





							def __contains__(      self				:							Optional[Any]     ,		__a				:							int	)							->	Union[str, Any]:
								__UpperCAmelCase							=			self.head
								while current:
									if current.get_data() == value:
										return True
									__UpperCAmelCase							=			current.get_next()
								return False





							def __iter__(      self				:							Union[str, Any]	)							->	int:
								return LinkedListIterator(self.head	)





							def       snake_case__						(      self				:							Tuple	)							->	Any:
								if self.head:
									return self.head.get_data()
								return None





							def       snake_case__						(      self				:							List[Any]	)							->	List[str]:
								if self.tail:
									return self.tail.get_data()
								return None





							def       snake_case__						(      self				:							Optional[int]     ,		__a				:							Node	)							->	None:
								if self.head is None:
									__UpperCAmelCase							=			node
									__UpperCAmelCase							=			node
								else:
									self.insert_before_node(self.head     ,		__a	)





							def       snake_case__						(      self				:							List[str]     ,		__a				:							Node	)							->	None:
								if self.head is None:
									self.set_head(__a	)
								else:
									self.insert_after_node(self.tail     ,		__a	)





							def       snake_case__						(      self				:							Dict     ,		__a				:							int	)							->	None:
								__UpperCAmelCase							=			Node(__a	)
								if self.head is None:
									self.set_head(__a	)
								else:
									self.set_tail(__a	)





							def       snake_case__						(      self				:							List[Any]     ,		__a				:							Node     ,		__a				:							Node	)							->	None:
								__UpperCAmelCase							=			node
								__UpperCAmelCase							=			node.previous

								if node.get_previous() is None:
									__UpperCAmelCase							=			node_to_insert
								else:
									__UpperCAmelCase							=			node_to_insert

								__UpperCAmelCase							=			node_to_insert





							def       snake_case__						(      self				:							int     ,		__a				:							Node     ,		__a				:							Node	)							->	None:
								__UpperCAmelCase							=			node
								__UpperCAmelCase							=			node.next

								if node.get_next() is None:
									__UpperCAmelCase							=			node_to_insert
								else:
									__UpperCAmelCase							=			node_to_insert

								__UpperCAmelCase							=			node_to_insert





							def       snake_case__						(      self				:							Optional[Any]     ,		__a				:							int     ,		__a				:							int	)							->	None:
								__UpperCAmelCase							=			1
								__UpperCAmelCase							=			Node(__a	)
								__UpperCAmelCase							=			self.head
								while node:
									if current_position == position:
										self.insert_before_node(__a     ,		__a	)
										return
									current_position += 1
									__UpperCAmelCase							=			node.next
								self.insert_after_node(self.tail     ,		__a	)





							def       snake_case__						(      self				:							Optional[int]     ,		__a				:							int	)							->	Node:
								__UpperCAmelCase							=			self.head
								while node:
									if node.get_data() == item:
										return node
									__UpperCAmelCase							=			node.get_next()
								raise Exception('''Node not found'''	)





							def       snake_case__						(      self				:							Tuple     ,		__a				:							int	)							->	int:
								if (node := self.get_node(__a	)) is not None:
									if node == self.head:
										__UpperCAmelCase							=			self.head.get_next()

									if node == self.tail:
										__UpperCAmelCase							=			self.tail.get_previous()

									self.remove_node_pointers(__a	)





							@staticmethod
							def       snake_case__						(      __a				:							Node	)							->	None:
								if node.get_next():
									__UpperCAmelCase							=			node.previous

								if node.get_previous():
									__UpperCAmelCase							=			node.next

								__UpperCAmelCase							=			None
								__UpperCAmelCase							=			None






							def       snake_case__						(      self				:							int	)							->	Any:
								return self.head is None





def       lowerCAmelCase					(		):


	"""simple docstring"""


if __name__ == "__main__":
					import doctest

					doctest.testmod()

'''simple docstring'''


import unittest

import torch
from torch import nn

from accelerate.test_utils import require_cuda
from accelerate.utils.memory import find_executable_batch_size, release_memory





def       lowerCAmelCase					(		):


	"""simple docstring"""
	raise RuntimeError('''CUDA out of memory.'''       )






class 						A   (   nn.Module   ):





							def __init__(      self				:							Optional[Any]	)							->	int:
								super().__init__()
								__UpperCAmelCase							=			nn.Linear(3     ,		4	)
								__UpperCAmelCase							=			nn.BatchNormad(4	)
								__UpperCAmelCase							=			nn.Linear(4     ,		5	)






							def       snake_case__						(      self				:							List[str]     ,		__a				:							Optional[int]	)							->	Optional[int]:
								return self.lineara(self.batchnorm(self.lineara(__a	)	)	)






class 						A   (   unittest.TestCase   ):





							def       snake_case__						(      self				:							Optional[int]	)							->	Any:
								__UpperCAmelCase							=			[]

								@find_executable_batch_size(starting_batch_size=1_2_8	)
								def mock_training_loop_function(__a				:							Union[str, Any]	):
									nonlocal batch_sizes
									batch_sizes.append(__a	)
									if batch_size != 8:
										raise_fake_out_of_memory()

								mock_training_loop_function()
								self.assertListEqual(__a     ,		[1_2_8, 6_4, 3_2, 1_6, 8]	)





							def       snake_case__						(      self				:							str	)							->	int:
								__UpperCAmelCase							=			[]

								@find_executable_batch_size(starting_batch_size=1_2_8	)
								def mock_training_loop_function(__a				:							str     ,		__a				:							Optional[int]	):
									nonlocal batch_sizes
									batch_sizes.append(__a	)
									if batch_size != 8:
										raise_fake_out_of_memory()
									return batch_size, arga

								__UpperCAmelCase				,			__UpperCAmelCase							=			mock_training_loop_function('''hello'''	)
								self.assertListEqual(__a     ,		[1_2_8, 6_4, 3_2, 1_6, 8]	)
								self.assertListEqual([bs, arga]     ,		[8, '''hello''']	)





							def       snake_case__						(      self				:							Any	)							->	int:
								@find_executable_batch_size(starting_batch_size=0	)
								def mock_training_loop_function(__a				:							Optional[int]	):
									pass

								with self.assertRaises(__a	) as cm:
									mock_training_loop_function()
									self.assertIn('''No executable batch size found, reached zero.'''     ,		cm.exception.args[0]	)





							def       snake_case__						(      self				:							Any	)							->	List[Any]:
								@find_executable_batch_size(starting_batch_size=1_6	)
								def mock_training_loop_function(__a				:							Dict	):
									if batch_size > 0:
										raise_fake_out_of_memory()
									pass

								with self.assertRaises(__a	) as cm:
									mock_training_loop_function()
									self.assertIn('''No executable batch size found, reached zero.'''     ,		cm.exception.args[0]	)





							def       snake_case__						(      self				:							List[Any]	)							->	List[str]:
								@find_executable_batch_size(starting_batch_size=1_2_8	)
								def mock_training_loop_function(__a				:							str     ,		__a				:							Union[str, Any]     ,		__a				:							int	):
									if batch_size != 8:
										raise raise_fake_out_of_memory()

								with self.assertRaises(__a	) as cm:
									mock_training_loop_function(1_2_8     ,		'''hello'''     ,		'''world'''	)
									self.assertIn('''Batch size was passed into `f`'''     ,		cm.exception.args[0]	)
									self.assertIn('''`f(arg1=\'hello\', arg2=\'world\')'''     ,		cm.exception.args[0]	)





							def       snake_case__						(      self				:							Tuple	)							->	Optional[Any]:
								@find_executable_batch_size(starting_batch_size=1_6	)
								def mock_training_loop_function(__a				:							Tuple	):
									raise ValueError('''Oops, we had an error!'''	)

								with self.assertRaises(__a	) as cm:
									mock_training_loop_function()
									self.assertIn('''Oops, we had an error!'''     ,		cm.exception.args[0]	)






							@require_cuda
							def       snake_case__						(      self				:							Any	)							->	List[Any]:
								__UpperCAmelCase							=			torch.cuda.memory_allocated()
								__UpperCAmelCase							=			ModelForTest()
								model.cuda()
								self.assertGreater(torch.cuda.memory_allocated()     ,		__a	)
								__UpperCAmelCase							=			release_memory(__a	)
								self.assertEqual(torch.cuda.memory_allocated()     ,		__a	)
