





import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


_lowerCamelCase 					=      logging.get_logger(__name__)




class 	UpperCamelCase_							(  UpperCamelCase__     ):


							def __init__(				self     :Optional[int]				,					*__A     :Optional[Any]				,					**__A     :Optional[Any]		) -> None:



									"""simple docstring"""



									warnings.warn(
									    """The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
									    """ use DPTImageProcessor instead."""				,					__A				,					)
									super().__init__(*__A				,					**__A		)


'''simple docstring'''





from __future__ import annotations






def 				_lowerCAmelCase			(   __magic_name__						:     list[float]						)				->  float:
						lowercase :							Any    		=0.0_0
						lowercase :							Tuple    		=0
						for resistor in resistors:
												if resistor <= 0:
																		lowercase :							Dict    		=f'''Resistor at index {index} has a negative or zero value!'''
																		raise ValueError(__magic_name__						)
												first_sum += 1 / float(__magic_name__						)
												index += 1
						return 1 / first_sum






def 				_lowerCAmelCase			(   __magic_name__						:     list[float]						)				->  float:
						lowercase :							Optional[Any]    		=0.0_0
						lowercase :							int    		=0
						for resistor in resistors:
												sum_r += resistor
												if resistor < 0:
																		lowercase :							Tuple    		=f'''Resistor at index {index} has a negative value!'''
																		raise ValueError(__magic_name__						)
												index += 1
						return sum_r


if __name__ == "__main__":
							import doctest

							doctest.testmod()





