code: def sapm_spectral_loss(airmass_absolute, module):
      
  
      am_coeff = [module['A4'], module['A3'], module['A2'], module['A1'],
                  module['A0']]
  
      spectral_loss = np.polyval(am_coeff, airmass_absolute)
  
      spectral_loss = np.where(np.isnan(spectral_loss), 0, spectral_loss)
  
      spectral_loss = np.maximum(0, spectral_loss)
  
      if isinstance(airmass_absolute, pd.Series):
          spectral_loss = pd.Series(spectral_loss, airmass_absolute.index)
  
      return spectral_loss
docs: Calculates the SAPM spectral loss coefficient, F1.
  
      Parameters
      ----------
      airmass_absolute : numeric
          Absolute airmass
  
      module : dict-like
          A dict, Series, or DataFrame defining the SAPM performance
          parameters. See the :py:func:`sapm` notes section for more
          details.
  
      Returns
      -------
      F1 : numeric
          The SAPM spectral loss coefficient.
  
      Notes
      -----
      nan airmass values will result in 0 output.