Add support for inhomogenous error breakdowns

hepdata_lib/__init__.py

@@ -277,6 +277,8 @@
             # if at least one of the uncertainties is not zero.
             if nonzero_uncs[i]:
                 for unc in self.uncertainties:
+                    if unc.values[i] is None:
+                        continue
                     if unc.is_symmetric:
                         valuedict['errors'].append({
                             "symerror":

hepdata_lib/helpers.py

@@ -258,7 +258,8 @@ def any_uncertainties_nonzero(uncertainties, size):
     for unc in uncertainties:
 
         # Treat one-sided uncertainties as
-        values = np.array(unc.values)
+        tmp = 0 if unc.is_symmetric else (0,0)
+        values = np.array([tmp if v is None else v for v in unc.values])
         values[values.astype(str)==''] = 0
         values = values.astype(float)