






"""simple docstring"""



from __future__ import annotations




def      _lowerCAmelCase		(							UpperCAmelCase__       :					list[float]      )		->float:
						A__						:  int		  =  0.00
						A__						:  Optional[int]		  =  0
						for resistor in resistors:
												if resistor <= 0:
																		A__						:  Any		  =  f'Resistor at index {index} has a negative or zero value!'
																		raise ValueError(UpperCAmelCase__      )
												first_sum += 1 / float(UpperCAmelCase__      )
												index += 1
						return 1 / first_sum




def      _lowerCAmelCase		(							UpperCAmelCase__       :					list[float]      )		->float:
						A__						:  int		  =  0.00
						A__						:  List[Any]		  =  0
						for resistor in resistors:
												sum_r += resistor
												if resistor < 0:
																		A__						:  List[str]		  =  f'Resistor at index {index} has a negative value!'
																		raise ValueError(UpperCAmelCase__      )
												index += 1
						return sum_r


if __name__ == "__main__":
						import doctest

						doctest.testmod()














"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_    =							{'''configuration_sew''': ['''SEW_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWConfig''']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_    =							[
						    '''SEW_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''SEWForCTC''',
						    '''SEWForSequenceClassification''',
						    '''SEWModel''',
						    '''SEWPreTrainedModel''',
						]

if TYPE_CHECKING:
						from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_sew import (
												    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
												    SEWForCTC,
												    SEWForSequenceClassification,
												    SEWModel,
												    SEWPreTrainedModel,
												)


else:
						import sys

						A_    =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






