TypeError for inferring lambda_min by estimating extremal eigenvalues

[JackSong88]

Reproduction

gdl.ld[22].get_lambda_min("min") when the LDMatrix do not have 'Extremal' in spectral_props and lambda_min needs to be inferred.

Error Traceback

TypeError                                 Traceback (most recent call last)
Cell In[3], line 1
----> 1 gdl.ld[22].get_lambda_min("min")

File .../magenpy/LDMatrix.py:1372, in LDMatrix.get_lambda_min(self, aggregate, min_max_ratio)
   1369         raise ValueError('Aggregating lambda_min across blocks '
   1370                          'requires that these blocks are pre-defined.')
   1371     else:
-> 1372         lambda_min = threshold_lambda_min(self.estimate_extremal_eigenvalues())
   1374 else:
   1376     spectral_props = self.get_store_attr('Spectral properties')

File .../magenpy/LDMatrix.py:1363, in LDMatrix.get_lambda_min.<locals>.threshold_lambda_min(eigs)
   1362 def threshold_lambda_min(eigs):
-> 1363     return np.abs(np.minimum(eigs['min'] + min_max_ratio*eigs['max'], 0.)) / (1. + min_max_ratio)

TypeError: can't multiply sequence by non-int of type 'float'