Adds some extra logic for processing gauge-optimization suite object …

…when running GST.

Adds logic that treats a gauge optimization suite object with `None` as its
suite names (checks of `gaugeopt_suite.gaugeopt_suite_names is None`) as specifying
that no gauge optimization should be performed.  Such an object is build if
gaugeopt_suite=None is passed when creating a GST protocol, and so we should
handle this case gracefully (previously this would result in an error).

pygsti/protocols/gst.py

@@ -1990,7 +1990,7 @@ def _add_badfit_estimates(results, base_estimate_label, badfit_options,
                     #corresponding to the elements of gaugeopt_labels. In this case let's  make
                     #base_estimate.extra_parameters['wildcard1d' + "_unmodeled_error"] a dictionary of
                     #the serialized PrimitiveOpsSingleScaleWildcardBudget elements
-                    if gaugeopt_suite is not None:
+                    if gaugeopt_suite is not None and gaugeopt_suite.gaugeopt_suite_names is not None:
                         gaugeopt_labels = gaugeopt_suite.gaugeopt_suite_names
                         base_estimate.extra_parameters['wildcard1d' + "_unmodeled_error"] = {lbl: budget[lbl].to_nice_serialization() for lbl in gaugeopt_labels} 
                         base_estimate.extra_parameters['wildcard1d' + "_unmodeled_active_constraints"] \
@@ -2116,14 +2116,14 @@ def _compute_wildcard_budget_1d_model(estimate, objfn_cache, mdc_objfn, paramete
     redbox_threshold = _chi2.ppf(1 - percentile / nboxes, 1)
 
     ref, reference_name = _compute_1d_reference_values_and_name(estimate, badfit_options, gaugeopt_suite)
-    
-    if gaugeopt_suite is None: 
+
+    if gaugeopt_suite is None or gaugeopt_suite.gaugeopt_suite_names is None:
         gaugeopt_labels = None
         primitive_ops = list(ref.keys())
     else:
-        gaugeopt_labels= gaugeopt_suite.gaugeopt_suite_names
+        gaugeopt_labels = gaugeopt_suite.gaugeopt_suite_names
         primitive_ops = list(ref[list(gaugeopt_labels)[0]].keys())
-    
+
     if gaugeopt_labels is None:
         wcm = _wild.PrimitiveOpsSingleScaleWildcardBudget(primitive_ops, [ref[k] for k in primitive_ops],
                                                       reference_name=reference_name)
@@ -2144,7 +2144,7 @@ def _compute_1d_reference_values_and_name(estimate, badfit_options, gaugeopt_sui
     DOCSTRING: TODO
     '''
     if badfit_options.wildcard1d_reference == 'diamond distance':
-        if gaugeopt_suite is None:
+        if gaugeopt_suite is None or gaugeopt_suite.gaugeopt_suite_names is None:
             final_model = estimate.models['final iteration estimate']
             target_model = estimate.models['target']
             gaugeopt_model = _alg.gaugeopt_to_target(final_model, target_model)