Wrong datatype assumed for sqgrids.py - blackbody_lambda function

[HojinCho]

Hi, I'm new to this package and trying to replicate the examples. I'm running astropy v5.0.4.

The example I'm following is this: https://github.com/imcgreer/simqso/blob/master/examples/SimpleSpecExample.ipynb
I haven't tried other examples yet. Also, I didn't do the %pylab inline in the beginning as I usually don't use pylab at all, and hence I imported numpy and matplotlib by myself and edited some parts of the example to correctly refer to intended numpy/matplotlib functions, which shouldn't be causing the problem I experienced.

Upon calling the 9th cell in the example;

# ready to generate spectra
_,spectra = buildSpectraBulk(wave,qsos,saveSpectra=True)

I get the error

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-9-8d131b44e14a> in <module>
      1 # ready to generate spectra
----> 2 _,spectra = buildSpectraBulk(wave,qsos,saveSpectra=True)

/opt/miniconda3/lib/python3.8/site-packages/simqso/sqrun.py in buildSpectraBulk(wave, qsoGrid, procMap, maxIter, verbose, saveSpectra)
    431         if verbose > 1:
    432             print('buildSpectra iteration ',iterNum,' out of ',nIter)
--> 433         specOut = list(procMap(build_one_spec,qsoGrid))
    434         specOut = _regroup(specOut)
    435         synMag,synFlux,spectra = specOut

/opt/miniconda3/lib/python3.8/site-packages/simqso/sqrun.py in buildSpecWithPhot(wave, cosmo, specFeatures, photoCache, objData, iterNum, saveSpectra)
    386 def buildSpecWithPhot(wave,cosmo,specFeatures,photoCache,
    387                       objData,iterNum=None,saveSpectra=False):
--> 388     sp = buildQsoSpectrum(wave,cosmo,specFeatures,objData,
    389                           iterNum=iterNum)
    390     if photoCache is None:

/opt/miniconda3/lib/python3.8/site-packages/simqso/sqrun.py in buildQsoSpectrum(wave, cosmo, specFeatures, obj, iterNum, save_components)
    250         if isinstance(feature,grids.ContinuumVar):
    251             assocvals = _getpar(feature.get_associated_var(),obj)
--> 252             spec = feature.add_to_spec(spec,_getpar(feature,obj),
    253                                        assocvals=assocvals,
    254                                        fluxNorm=fluxNorm)

/opt/miniconda3/lib/python3.8/site-packages/simqso/sqgrids.py in add_to_spec(self, spec, par, **kwargs)
    472         par : sampled values of the variable that are passed to render()
    473         '''
--> 474         spec.f_lambda[:] += self.render(spec.wave,spec.z,par,**kwargs)
    475         return spec
    476 

/opt/miniconda3/lib/python3.8/site-packages/simqso/sqgrids.py in render(self, wave, z, par, fluxNorm, assocvals)
    755         fdisk = self.assocVar.total_flux(assocvals,fluxNorm,z)
    756         flux_bb = fracdust * fdisk
--> 757         Blam = self._calc_bb(Tdust,wave,z)
    758         return flux_bb * np.pi * Blam / L_bb
    759 

/opt/miniconda3/lib/python3.8/site-packages/simqso/sqgrids.py in _calc_bb(self, Tdust, wave, z)
    740             rfwave = np.concatenate([ (lampeak-dwv1)[::-1], rfwv2 ])
    741             self.rfwave[Tdust] = rfwave
--> 742             bvals = blackbody_lambda(self.rfwave[Tdust],Tdust).value
    743             self.Blam[Tdust] = interp1d(self.rfwave[Tdust],bvals,
    744                                         kind='cubic')

/opt/miniconda3/lib/python3.8/site-packages/simqso/sqgrids.py in blackbody_lambda(in_x, temperature)
     44             return flux / u.sr  # Add per steradian to output flux unit
     45         bb_nu = blackbody_nu(in_x, temperature) * u.sr  # Remove sr for conversion
---> 46         flux = bb_nu.to(FLAM, u.spectral_density(in_x))
     47         return flux / u.sr  # Add per steradian to output flux unit
     48 

/opt/miniconda3/lib/python3.8/site-packages/astropy/units/quantity.py in to(self, unit, equivalencies, copy)
    846             # Avoid using to_value to ensure that we make a copy. We also
    847             # don't want to slow down this method (esp. the scalar case).
--> 848             value = self._to_value(unit, equivalencies)
    849         else:
    850             # to_value only copies if necessary

/opt/miniconda3/lib/python3.8/site-packages/astropy/units/quantity.py in _to_value(self, unit, equivalencies)
    800         if not self.dtype.names or isinstance(self.unit, StructuredUnit):
    801             # Standard path, let unit to do work.
--> 802             return self.unit.to(unit, self.view(np.ndarray),
    803                                 equivalencies=equivalencies)
    804 

/opt/miniconda3/lib/python3.8/site-packages/astropy/units/core.py in to(self, other, value, equivalencies)
   1133             return UNITY
   1134         else:
-> 1135             return self._get_converter(Unit(other),
   1136                                        equivalencies=equivalencies)(value)
   1137 

/opt/miniconda3/lib/python3.8/site-packages/astropy/units/core.py in convert(v)
    988         def make_converter(scale1, func, scale2):
    989             def convert(v):
--> 990                 return func(_condition_arg(v) / scale1) * scale2
    991             return convert
    992 

/opt/miniconda3/lib/python3.8/site-packages/astropy/units/equivalencies.py in iconverter(x)
    205 
    206     def iconverter(x):
--> 207         return x / (wav.to_value(si.AA, spectral()) ** 2 / c_Aps)
    208 
    209     def converter_f_nu_to_nu_f_nu(x):

AttributeError: 'numpy.ndarray' object has no attribute 'to_value'

I think this concerns one of the functions that is added recently ( #33 ). Could you check this?

[tomshanks20]

I also get this problem running on python3 on a Mac - any solutions?