
import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


SCREAMING_SNAKE_CASE__							=    logging.get_logger(__name__)
class      A__       (						lowerCAmelCase__    ):





							def __init__(			self  :       Optional[Any]					,			*_UpperCAmelCase  :       Dict					,			**_UpperCAmelCase  :       str    )						->		None:



											"""simple docstring"""


											warnings.warn(
											    'The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
											    ' Please use ConditionalDetrImageProcessor instead.'					,			_UpperCAmelCase					,			)
											super().__init__(*_UpperCAmelCase					,			**_UpperCAmelCase    )








from math import pi




def 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				float      )					->						float:
				return degree / (180 / pi)


if __name__ == "__main__":
							from doctest import testmod

							testmod()





