




from __future__ import annotations



def     lowerCAmelCase		(		_lowerCAmelCase				: list[int | float]						):




 """simple docstring"""







 if len(_lowerCAmelCase						) == 0:
  raise ValueError("find_max() arg is an empty sequence"						)
 UpperCAmelCase__							=    nums[0]
 for x in nums:
  if x > max_num:
   UpperCAmelCase__							=    x
 return max_num


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)






import warnings

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


__lowerCAmelCase    :  Tuple										= logging.get_logger(__name__)
class 				lowerCamelCase			(							__snake_case					):






      def __init__(      self  ,		*__lowerCamelCase  ,		**__lowerCamelCase						)     ->				None:


          '''simple docstring'''







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


