



'''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 		__snake_case(							)						->					Optional[Any]:
      raise RuntimeError("""CUDA out of memory."""						)







class        UpperCAmelCase_			(			nn.Module      ):
    """simple docstring"""







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




    def lowerCamelCase			(       self   :	List[Any]					,	snake_case_   :	int		):
          return self.lineara(self.batchnorm(self.lineara(snake_case_		)		)		)







class        UpperCAmelCase_			(			unittest.TestCase      ):
    """simple docstring"""







    def lowerCamelCase			(       self   :	Optional[int]		):
          snake_case__    :       Optional[int]       		= []

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

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




    def lowerCamelCase			(       self   :	Optional[int]		):
          snake_case__    :       Tuple       		= []

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

          snake_case__		,							snake_case__    :       List[str]       		= mock_training_loop_function("""hello"""		)
          self.assertListEqual(snake_case_					,	[128, 64, 32, 16, 8]		)
          self.assertListEqual([bs, arga]					,	[8, """hello"""]		)




    def lowerCamelCase			(       self   :	List[str]		):
          @find_executable_batch_size(starting_batch_size=0		)
          def mock_training_loop_function(snake_case_   :	Tuple		):
                pass

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




    def lowerCamelCase			(       self   :	Dict		):
          @find_executable_batch_size(starting_batch_size=16		)
          def mock_training_loop_function(snake_case_   :	int		):
                if batch_size > 0:
                      raise_fake_out_of_memory()
                pass

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




    def lowerCamelCase			(       self   :	Tuple		):
          @find_executable_batch_size(starting_batch_size=128		)
          def mock_training_loop_function(snake_case_   :	int					,	snake_case_   :	Any					,	snake_case_   :	Any		):
                if batch_size != 8:
                      raise raise_fake_out_of_memory()

          with self.assertRaises(snake_case_		) 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 lowerCamelCase			(       self   :	Optional[int]		):
          @find_executable_batch_size(starting_batch_size=16		)
          def mock_training_loop_function(snake_case_   :	int		):
                raise ValueError("""Oops, we had an error!"""		)

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




    @require_cuda
    def lowerCamelCase			(       self   :	List[Any]		):
          snake_case__    :       Dict       		= torch.cuda.memory_allocated()
          snake_case__    :       Any       		= ModelForTest()
          model.cuda()
          self.assertGreater(torch.cuda.memory_allocated()					,	snake_case_		)
          snake_case__    :       List[Any]       		= release_memory(snake_case_		)
          self.assertEqual(torch.cuda.memory_allocated()					,	snake_case_		)





'''simple docstring'''





import sys

__a  			=						(
    "73167176531330624919225119674426574742355349194934"
    "96983520312774506326239578318016984801869478851843"
    "85861560789112949495459501737958331952853208805511"
    "12540698747158523863050715693290963295227443043557"
    "66896648950445244523161731856403098711121722383113"
    "62229893423380308135336276614282806444486645238749"
    "30358907296290491560440772390713810515859307960866"
    "70172427121883998797908792274921901699720888093776"
    "65727333001053367881220235421809751254540594752243"
    "52584907711670556013604839586446706324415722155397"
    "53697817977846174064955149290862569321978468622482"
    "83972241375657056057490261407972968652414535100474"
    "82166370484403199890008895243450658541227588666881"
    "16427171479924442928230863465674813919123162824586"
    "17866458359124566529476545682848912883142607690042"
    "24219022671055626321111109370544217506941658960408"
    "07198403850962455444362981230987879927244284909188"
    "84580156166097919133875499200524063689912560717606"
    "05886116467109405077541002256983155200055935729725"
    "71636269561882670428252483600823257530420752963450"
)





def 		__snake_case(							_lowerCAmelCase = N						)						->					int:
      snake_case__    :       Dict       		= -sys.maxsize - 1
      for i in range(len(_lowerCAmelCase						) - 12						):
            snake_case__    :       Any       		= 1
            for j in range(13						):
                  product *= int(n[i + j]						)
            if product > largest_product:
                  snake_case__    :       List[str]       		= product
      return largest_product


if __name__ == "__main__":
       print(F"{solution() = }")
