Stabilize MATLAB parity gate for legacy structures and long topics

Author: iahncajigas

FitResult.m

@@ -1467,8 +1467,35 @@ function setFitResidual(fitObj,M)
                     ensHistObject{i} = History.fromStructure(structure.ensHistObjects{i});
                 end
                 configColl = ConfigColl.fromStructure(structure.configs);
-%                 fitObj=FitResult(spikeObj,covLabels,numHist,histObjects,ensHistObj,lambda,b, dev, stats,AIC,BIC,logLL, configColl,XvalData,XvalTime,distribution)
-                fitObj=FitResult(spikeObj,structure.covLabels,structure.numHist,histObjects,ensHistObject,lambda,structure.b, structure.dev, structure.stats,structure.AIC,structure.BIC,structure.logLL,configColl,structure.XvalData,structure.XvalTime,structure.fitType);
+
+                % Support legacy saved structures that predate select fields.
+                logLL = NaN(1,max(1,structure.numResults));
+                if isfield(structure,'logLL')
+                    logLL = structure.logLL;
+                    if isscalar(logLL) && structure.numResults > 1
+                        logLL = repmat(logLL,1,structure.numResults);
+                    end
+                end
+
+                XvalData = [];
+                if isfield(structure,'XvalData')
+                    XvalData = structure.XvalData;
+                end
+
+                XvalTime = [];
+                if isfield(structure,'XvalTime')
+                    XvalTime = structure.XvalTime;
+                end
+
+                fitType = '';
+                if isfield(structure,'fitType')
+                    fitType = structure.fitType;
+                elseif isfield(structure,'distribution')
+                    fitType = structure.distribution;
+                end
+
+%                 fitObj=FitResult(spikeObj,covLabels,numHist,histObjects,ensHistObj,lambda,b, dev, stats,AIC,BIC,logLL, configColl,XvalData,XvalTime,distribution)
+                fitObj=FitResult(spikeObj,structure.covLabels,structure.numHist,histObjects,ensHistObject,lambda,structure.b, structure.dev, structure.stats,structure.AIC,structure.BIC,logLL,configColl,XvalData,XvalTime,fitType);
                 fitObj.setKSStats(structure.Z,structure.U, structure.KSStats.xAxis, structure.KSStats.KSSorted, structure.KSStats.ks_stat);
                 fitObj.setInvGausStats(structure.X,rhoSig,confBoundSig);
                 fitObj.setFitResidual(M);
@@ -1743,4 +1770,4 @@ function setFitResidual(fitObj,M)
 end
 
 
-   
+   

python/tools/verify_python_vs_matlab_similarity.py

@@ -445,8 +445,8 @@ def _help_similarity() -> dict[str, Any]:
 
     scores: list[float] = []
     topic_timeouts = {
-        "DecodingExampleWithHist": 120,
-        "nSTATPaperExamples": 180,
+        "DecodingExampleWithHist": 240,
+        "nSTATPaperExamples": 240,
     }
     for idx, (title, target) in enumerate(topics, start=1):
         stem = Path(target).stem
@@ -464,7 +464,7 @@ def _help_similarity() -> dict[str, Any]:
         print(f"[help {idx}/{len(topics)}] {stem}", flush=True)
 
         py = _run_python_topic(stem)
-        timeout_s = topic_timeouts.get(stem, 90)
+        timeout_s = topic_timeouts.get(stem, 120)
         ml = _run_matlab_help_script(script_rel, timeout_s=timeout_s)
 
         if py.get("ok"):