'''simple docstring'''


import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate





def       lowerCAmelCase					(   UpperCamelCase__				:   List[Any]       ):


	"""simple docstring"""
	return x + 2






class 						A   (   unittest.TestCase   ):





							def       snake_case__						(      self				:							List[Any]	)							->	int:
								__UpperCAmelCase							=			'x = 3'
								__UpperCAmelCase							=			{}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								assert result == 3
								self.assertDictEqual(__a     ,		{'''x''': 3}	)

								__UpperCAmelCase							=			'x = y'
								__UpperCAmelCase							=			{'y': 5}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								# evaluate returns the value of the last assignment.
								assert result == 5
								self.assertDictEqual(__a     ,		{'''x''': 5, '''y''': 5}	)





							def       snake_case__						(      self				:							Optional[int]	)							->	Union[str, Any]:
								__UpperCAmelCase							=			'y = add_two(x)'
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{'''add_two''': add_two}     ,		state=__a	)
								assert result == 5
								self.assertDictEqual(__a     ,		{'''x''': 3, '''y''': 5}	)

								# Won't work without the tool
								with CaptureStdout() as out:
									__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								assert result is None
								assert "tried to execute add_two" in out.out





							def       snake_case__						(      self				:							Any	)							->	Optional[int]:
								__UpperCAmelCase							=			'x = 3'
								__UpperCAmelCase							=			{}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								assert result == 3
								self.assertDictEqual(__a     ,		{'''x''': 3}	)





							def       snake_case__						(      self				:							List[str]	)							->	Optional[Any]:
								__UpperCAmelCase							=			'test_dict = {\'x\': x, \'y\': add_two(x)}'
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{'''add_two''': add_two}     ,		state=__a	)
								self.assertDictEqual(__a     ,		{'''x''': 3, '''y''': 5}	)
								self.assertDictEqual(__a     ,		{'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}	)





							def       snake_case__						(      self				:							Optional[Any]	)							->	int:
								__UpperCAmelCase							=			'x = 3\ny = 5'
								__UpperCAmelCase							=			{}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								# evaluate returns the value of the last assignment.
								assert result == 5
								self.assertDictEqual(__a     ,		{'''x''': 3, '''y''': 5}	)





							def       snake_case__						(      self				:							List[Any]	)							->	Optional[int]:
								__UpperCAmelCase							=			'text = f\'This is x: {x}.\''
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								# evaluate returns the value of the last assignment.
								assert result == "This is x: 3."
								self.assertDictEqual(__a     ,		{'''x''': 3, '''text''': '''This is x: 3.'''}	)





							def       snake_case__						(      self				:							Dict	)							->	Any:
								__UpperCAmelCase							=			'if x <= 3:\n    y = 2\nelse:\n    y = 5'
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								# evaluate returns the value of the last assignment.
								assert result == 2
								self.assertDictEqual(__a     ,		{'''x''': 3, '''y''': 2}	)

								__UpperCAmelCase							=			{'x': 8}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								# evaluate returns the value of the last assignment.
								assert result == 5
								self.assertDictEqual(__a     ,		{'''x''': 8, '''y''': 5}	)





							def       snake_case__						(      self				:							int	)							->	Any:
								__UpperCAmelCase							=			'test_list = [x, add_two(x)]'
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{'''add_two''': add_two}     ,		state=__a	)
								self.assertListEqual(__a     ,		[3, 5]	)
								self.assertDictEqual(__a     ,		{'''x''': 3, '''test_list''': [3, 5]}	)





							def       snake_case__						(      self				:							Any	)							->	Any:
								__UpperCAmelCase							=			'y = x'
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{}     ,		state=__a	)
								assert result == 3
								self.assertDictEqual(__a     ,		{'''x''': 3, '''y''': 3}	)





							def       snake_case__						(      self				:							Optional[Any]	)							->	Optional[int]:
								__UpperCAmelCase							=			'test_list = [x, add_two(x)]\ntest_list[1]'
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{'''add_two''': add_two}     ,		state=__a	)
								assert result == 5
								self.assertDictEqual(__a     ,		{'''x''': 3, '''test_list''': [3, 5]}	)

								__UpperCAmelCase							=			'test_dict = {\'x\': x, \'y\': add_two(x)}\ntest_dict[\'y\']'
								__UpperCAmelCase							=			{'x': 3}
								__UpperCAmelCase							=			evaluate(__a     ,		{'''add_two''': add_two}     ,		state=__a	)
								assert result == 5
								self.assertDictEqual(__a     ,		{'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}	)






							def       snake_case__						(      self				:							Optional[int]	)							->	Tuple:
								__UpperCAmelCase							=			'x = 0\nfor i in range(3):\n    x = i'
								__UpperCAmelCase							=			{}
								__UpperCAmelCase							=			evaluate(__a     ,		{'''range''': range}     ,		state=__a	)
								assert result == 2
								self.assertDictEqual(__a     ,		{'''x''': 2, '''i''': 2}	)

'''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	)
