



'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_lowerCamelCase	:       str      	=	logging.get_logger(__name__)

class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""





    def __init__(  self      :					Dict  ,						*UpperCamelCase__      :					List[Any]  ,						**UpperCamelCase__      :					List[Any] ):


       """simple docstring"""







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









from math import log

from scipy.constants import Boltzmann, physical_constants

a		:       Any			     = 300  # TEMPERATURE (unit = K)






def 				lowerCamelCase__      (    __lowerCamelCase			:     float  ,		__lowerCamelCase			:     float  ,		__lowerCamelCase			:     float  ,		):

  if donor_conc <= 0:
    raise ValueError("""Donor concentration should be positive"""		)
  elif acceptor_conc <= 0:
    raise ValueError("""Acceptor concentration should be positive"""		)
  elif intrinsic_conc <= 0:
    raise ValueError("""Intrinsic concentration should be positive"""		)
  elif donor_conc <= intrinsic_conc:
    raise ValueError(
        """Donor concentration should be greater than intrinsic concentration"""		)
  elif acceptor_conc <= intrinsic_conc:
    raise ValueError(
        """Acceptor concentration should be greater than intrinsic concentration"""		)
  else:
    return (
        Boltzmann
        * T
        * log((donor_conc * acceptor_conc) / intrinsic_conc**2		)
        / physical_constants["electron volt"][0]
    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


