




"""simple docstring"""






from __future__ import annotations







def      _snake_case			(				lowercase__		):
				_lowerCamelCase     :			List[str]    =    0.0_0
				_lowerCamelCase     :			Tuple    =    0
				for resistor in resistors:
								if resistor <= 0:
												_lowerCamelCase     :			Optional[int]    =    f'''Resistor at index {index} has a negative or zero value!'''
												raise ValueError(lowercase__		)
								first_sum += 1 / float(lowercase__		)
								index += 1
				return 1 / first_sum







def      _snake_case			(				lowercase__		):
				_lowerCamelCase     :			Dict    =    0.0_0
				_lowerCamelCase     :			int    =    0
				for resistor in resistors:
								sum_r += resistor
								if resistor < 0:
												_lowerCamelCase     :			Any    =    f'''Resistor at index {index} has a negative value!'''
												raise ValueError(lowercase__		)
								index += 1
				return sum_r


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 		UpperCAmelCase_      (  unittest.TestCase		):





     def 							__UpperCAmelCase      ( self       :      str    )				->  List[Any]:
        lowerCAmelCase     =			torch.nn.Linear(1_0    ,      1_0    )
        lowerCAmelCase     =			torch.optim.SGD(model.parameters()    ,      0.1    )
        lowerCAmelCase     =			Accelerator()
        lowerCAmelCase     =			accelerator.prepare(UpperCAmelCase__    )
        try:
           pickle.loads(pickle.dumps(UpperCAmelCase__    )    )
        except Exception as e:
           self.fail(F'''Accelerated optimizer pickling failed with {e}'''    )
        AcceleratorState._reset_state()





