

"""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   __lowercase      (     nn.Module       ):

  def __init__(	self		:      Optional[int]     ):






   '''simple docstring'''
   super().__init__()
   UpperCAmelCase__       :	Union[str, Any]        =       nn.Linear(3       ,4     )
   UpperCAmelCase__       :	List[Any]        =       nn.BatchNormad(4     )
   UpperCAmelCase__       :	Any        =       nn.Linear(4       ,5     )




  def  __lowercase							(	self		:      Tuple       ,A		:      Any     ):






   '''simple docstring'''
   return self.lineara(self.batchnorm(self.lineara(A     )     )     )







class   __lowercase      (     unittest.TestCase       ):

  def  __lowercase							(	self		:      Any     ):






   '''simple docstring'''
   UpperCAmelCase__       :	List[str]        =       []

   @find_executable_batch_size(starting_batch_size=128     )
   def mock_training_loop_function(A		:      Tuple     ):
    nonlocal batch_sizes
    batch_sizes.append(A     )
    if batch_size != 8:
     raise_fake_out_of_memory()

   mock_training_loop_function()
   self.assertListEqual(A       ,[128, 64, 32, 16, 8]     )

  def  __lowercase							(	self		:      Dict     ):






   '''simple docstring'''
   UpperCAmelCase__       :	str        =       []

   @find_executable_batch_size(starting_batch_size=128     )
   def mock_training_loop_function(A		:      int       ,A		:      List[str]     ):
    nonlocal batch_sizes
    batch_sizes.append(A     )
    if batch_size != 8:
     raise_fake_out_of_memory()
    return batch_size, arga

   UpperCAmelCase__ ,   UpperCAmelCase__       :	Dict        =       mock_training_loop_function("""hello"""     )
   self.assertListEqual(A       ,[128, 64, 32, 16, 8]     )
   self.assertListEqual([bs, arga]       ,[8, """hello"""]     )

  def  __lowercase							(	self		:      Optional[int]     ):






   '''simple docstring'''
   @find_executable_batch_size(starting_batch_size=0     )
   def mock_training_loop_function(A		:      str     ):
    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  __lowercase							(	self		:      List[str]     ):






   '''simple docstring'''
   @find_executable_batch_size(starting_batch_size=16     )
   def mock_training_loop_function(A		:      Tuple     ):
    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  __lowercase							(	self		:      List[Any]     ):






   '''simple docstring'''
   @find_executable_batch_size(starting_batch_size=128     )
   def mock_training_loop_function(A		:      str       ,A		:      Tuple       ,A		:      int     ):
    if batch_size != 8:
     raise raise_fake_out_of_memory()

   with self.assertRaises(A     ) as cm:
    mock_training_loop_function(128       ,"""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  __lowercase							(	self		:      Optional[Any]     ):






   '''simple docstring'''
   @find_executable_batch_size(starting_batch_size=16     )
   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  __lowercase							(	self		:      Optional[Any]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Dict        =       torch.cuda.memory_allocated()
   UpperCAmelCase__       :	List[str]        =       ModelForTest()
   model.cuda()
   self.assertGreater(torch.cuda.memory_allocated()       ,A     )
   UpperCAmelCase__       :	Optional[Any]        =       release_memory(A     )
   self.assertEqual(torch.cuda.memory_allocated()       ,A     )








'''simple docstring'''

SCREAMING_SNAKE_CASE							:				Union[str, Any]     	=			0  # The first color of the flag.
SCREAMING_SNAKE_CASE							:				List[str]     	=			1  # The second color of the flag.
SCREAMING_SNAKE_CASE							:				Optional[Any]     	=			2  # The third color of the flag.
SCREAMING_SNAKE_CASE							:				Tuple     	=			(red, white, blue)




def 							_UpperCamelCase				(   lowerCAmelCase__:					list   )      -> list:
							if not sequence:
														return []
							if len(lowerCAmelCase__   ) == 1:
														return list(lowerCAmelCase__   )
							SCREAMING_SNAKE_CASE_				=				0
							SCREAMING_SNAKE_CASE_				=				len(lowerCAmelCase__   ) - 1
							SCREAMING_SNAKE_CASE_				=				0
							while mid <= high:
														if sequence[mid] == colors[0]:
																					SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				sequence[mid], sequence[low]
																					low += 1
																					mid += 1
														elif sequence[mid] == colors[1]:
																					mid += 1
														elif sequence[mid] == colors[2]:
																					SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				sequence[high], sequence[mid]
																					high -= 1
														else:
																					SCREAMING_SNAKE_CASE_				=				F"""The elements inside the sequence must contains only {colors} values"""
																					raise ValueError(lowerCAmelCase__   )
							return sequence


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							SCREAMING_SNAKE_CASE							:				str     	=			input("Enter numbers separated by commas:\n").strip()
							SCREAMING_SNAKE_CASE							:				List[Any]     	=			[int(item.strip()) for item in user_input.split(",")]
							print(f"{dutch_national_flag_sort(unsorted)}")





