





'''simple docstring'''

def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Optional[int]					     =     len(lowerCAmelCase_	)
      _snake_case		:	List[Any]					     =     len(lowerCAmelCase_	)
      _snake_case		:	Any					     =     [[False for _ in range(m + 1	)] for _ in range(n + 1	)]
      _snake_case		:	List[Any]					     =     True
      for i in range(lowerCAmelCase_	):
            for j in range(m + 1	):
                  if dp[i][j]:
                        if j < m and a[i].upper() == b[j]:
                              _snake_case		:	List[str]					     =     True
                        if a[i].islower():
                              _snake_case		:	List[Any]					     =     True
      return dp[n][m]


if __name__ == "__main__":
   import doctest

   doctest.testmod()









'''simple docstring'''

import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu





@require_cpu
class lowerCamelCase						(unittest.TestCase					):







  def 				UpperCAmelCase_				(		self		)		->						Union[str, Any]:






        """simple docstring"""





        _snake_case		:	Any					     =     torch.nn.Linear(10     ,     10		)
        _snake_case		:	Optional[int]					     =     torch.optim.SGD(model.parameters()     ,     0.1		)
        _snake_case		:	List[str]					     =     Accelerator()
        _snake_case		:	Optional[Any]					     =     accelerator.prepare(lowercase__		)
        try:
              pickle.loads(pickle.dumps(lowercase__		)		)
        except Exception as e:
              self.fail(F'''Accelerated optimizer pickling failed with {e}'''		)
        AcceleratorState._reset_state()


