






import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


snake_case__   :						Optional[Any]													=   logging.get_logger(__name__)


class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  def __init__(  self		,		*_UpperCAmelCase		,		**_UpperCAmelCase			)      ->			None:
     warnings.warn(
         'The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
         ' Please use LayoutLMv2ImageProcessor instead.'		,		_UpperCAmelCase		,		)
     super().__init__(*_UpperCAmelCase		,		**_UpperCAmelCase			)







"""simple docstring"""





from __future__ import annotations
def 				A_  (__a					):

					'''simple docstring'''





					A_								=    0.00
					A_								=    0
					for resistor in resistors:
										if resistor <= 0:
															A_								=    f'Resistor at index {index} has a negative or zero value!'
															raise ValueError(__a					)
										first_sum += 1 / float(__a					)
										index += 1
					return 1 / first_sum
def 				A_  (__a					):

					'''simple docstring'''





					A_								=    0.00
					A_								=    0
					for resistor in resistors:
										sum_r += resistor
										if resistor < 0:
															A_								=    f'Resistor at index {index} has a negative value!'
															raise ValueError(__a					)
										index += 1
					return sum_r


if __name__ == "__main__":
		import doctest

		doctest.testmod()




