proper nan check

Author: rileyjmurray

pygsti/tools/rbtheory.py

@@ -90,7 +90,7 @@ def predicted_rb_number(model, target_model, weights=None, d=None, rtype='EI'):
     """
     if d is None: d = int(round(_np.sqrt(model.dim)))
     p = predicted_rb_decay_parameter(model, target_model, weights=weights)
-    r = _rbtls.p_to_r(p, d=d, rtype=rtype) if p != _np.nan else _np.nan
+    r = _rbtls.p_to_r(p, d=d, rtype=rtype) if _np.isnan(p) else _np.nan
     return r