Running: ./testmodel.py --libraries=/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries --ompython_omhome=/usr Buildings_master_Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.conf.json Using package ModelicaServices with version 3.2.3 (/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/ModelicaServices 3.2.3+maint.om/package.mo) Using package Modelica with version 3.2.3 (/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/Modelica 3.2.3+maint.om/package.mo) Using package Complex with version 3.2.3 (/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/Complex 3.2.3+maint.om/package.mo) Using package Buildings with version 9.0.0 (/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/Buildings 9.0.0-master/package.mo) Running command: translateModel(Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment,tolerance=1e-06,outputFormat="empty",numberOfIntervals=5000,variableFilter="",fileNamePrefix="Buildings_master_Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment") Notification: Performance of loadFile(/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/Buildings 9.0.0-master/package.mo): time 5.172/5.172, allocations: 0.5623 GB / 0.5769 GB, free: 3.328 MB / 474.7 MB Notification: Performance of loadFile(/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/Complex 3.2.3+maint.om/package.mo): time 0.002442/0.002442, allocations: 359.1 kB / 0.644 GB, free: 185.6 MB / 474.7 MB Notification: Performance of loadFile(/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/Modelica 3.2.3+maint.om/package.mo): time 4.21/4.21, allocations: 410.7 MB / 1.112 GB, free: 5.945 MB / 0.6042 GB Notification: Performance of loadFile(/var/lib/hudson/saved_omc/libraries/.openmodelica/libraries/ModelicaServices 3.2.3+maint.om/package.mo): time 0.001773/0.001773, allocations: 179 kB / 1.225 GB, free: 6.098 MB / 0.7136 GB Notification: Performance of FrontEnd - loaded program: time 0.000511/0.0005112, allocations: 15.98 kB / 1.348 GB, free: 8.242 MB / 0.8386 GB Notification: Performance of FrontEnd - Absyn->SCode: time 0.5902/0.5907, allocations: 115.3 MB / 1.461 GB, free: 284.4 MB / 0.8542 GB Notification: Performance of NFInst.instantiate(Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment): time 0.002357/0.5931, allocations: 1.956 MB / 1.463 GB, free: 282.4 MB / 0.8542 GB Notification: Performance of NFInst.instExpressions: time 0.002339/0.5955, allocations: 1.257 MB / 1.464 GB, free: 281.1 MB / 0.8542 GB Notification: Performance of NFInst.updateImplicitVariability: time 0.0002022/0.5957, allocations: 7.938 kB / 1.464 GB, free: 281.1 MB / 0.8542 GB Notification: Performance of NFTyping.typeComponents: time 0.0002351/0.596, allocations: 35.7 kB / 1.464 GB, free: 281.1 MB / 0.8542 GB Notification: Performance of NFTyping.typeBindings: time 0.0001702/0.5961, allocations: 61.09 kB / 1.464 GB, free: 281 MB / 0.8542 GB Notification: Performance of NFTyping.typeClassSections: time 0.001093/0.5973, allocations: 450.3 kB / 1.464 GB, free: 280.6 MB / 0.8542 GB Notification: Performance of NFFlatten.flatten: time 0.000672/0.5979, allocations: 0.6602 MB / 1.465 GB, free: 280 MB / 0.8542 GB Notification: Performance of NFFlatten.resolveConnections: time 0.0002762/0.5982, allocations: 162.6 kB / 1.465 GB, free: 279.8 MB / 0.8542 GB Notification: Performance of NFEvalConstants.evaluate: time 0.0003456/0.5986, allocations: 376.8 kB / 1.466 GB, free: 279.5 MB / 0.8542 GB Notification: Performance of NFSimplifyModel.simplify: time 0.001147/0.5998, allocations: 1.062 MB / 1.467 GB, free: 278.4 MB / 0.8542 GB Notification: Performance of NFPackage.collectConstants: time 0.0001582/0.5999, allocations: 20 kB / 1.467 GB, free: 278.4 MB / 0.8542 GB Notification: Performance of NFFlatten.collectFunctions: time 0.0007467/0.6007, allocations: 125.2 kB / 1.467 GB, free: 278.3 MB / 0.8542 GB Notification: Performance of NFScalarize.scalarize: time 0.001806/0.6025, allocations: 3.009 MB / 1.47 GB, free: 275.3 MB / 0.8542 GB Notification: Performance of NFVerifyModel.verify: time 0.001344/0.6039, allocations: 1.291 MB / 1.471 GB, free: 274 MB / 0.8542 GB Notification: Performance of NFConvertDAE.convert: time 0.003597/0.6075, allocations: 4.659 MB / 1.475 GB, free: 269.3 MB / 0.8542 GB Notification: Performance of FrontEnd - DAE generated: time 5.802e-06/0.6075, allocations: 0 / 1.475 GB, free: 269.3 MB / 0.8542 GB Notification: Performance of FrontEnd: time 2.321e-06/0.6076, allocations: 0.5625 kB / 1.475 GB, free: 269.3 MB / 0.8542 GB Notification: Performance of Transformations before backend: time 0.0001353/0.6077, allocations: 0.75 kB / 1.475 GB, free: 269.3 MB / 0.8542 GB Notification: Model statistics after passing the front-end and creating the data structures used by the back-end: * Number of equations: 1841 * Number of variables: 1841 Notification: Performance of Generate backend data structure: time 0.007573/0.6153, allocations: 5.977 MB / 1.481 GB, free: 263.3 MB / 0.8542 GB Notification: Performance of prepare preOptimizeDAE: time 4.038e-05/0.6153, allocations: 15.62 kB / 1.481 GB, free: 263.3 MB / 0.8542 GB Notification: Performance of preOpt normalInlineFunction (simulation): time 0.00109/0.6164, allocations: 0.6219 MB / 1.482 GB, free: 262.6 MB / 0.8542 GB Notification: Performance of preOpt evaluateParameters (simulation): time 0.00347/0.6199, allocations: 1.74 MB / 1.484 GB, free: 260.9 MB / 0.8542 GB Notification: Performance of preOpt simplifyIfEquations (simulation): time 0.0004437/0.6204, allocations: 432.6 kB / 1.484 GB, free: 260.4 MB / 0.8542 GB Notification: Performance of preOpt expandDerOperator (simulation): time 0.0008067/0.6212, allocations: 0.6367 MB / 1.485 GB, free: 259.8 MB / 0.8542 GB Error: An independent subset of the model has imbalanced number of equations (1806) and variables (78). variables: integrator.y integrator.u TSam.y TSam.u TSam.firstTrigger TSam.sampleTrigger err.y err.u2 err.u1 to_degC.y to_degC.u PCon.y PCon.u2 PCon.u1 POffSet.y TOut.y notEventDay.y notEventDay.u dayType.skipIDayIncrement dayType.sampleTrigger dayType.iDay dayType.y[2] dayType.y[1] tri.pulseStart tri.y baseLoad.TOut_in_internal baseLoad.idxSam baseLoad.intTOutLast baseLoad.intTOut baseLoad.EHisAve baseLoad.EActAve baseLoad._storeHistory baseLoad._typeOfDay[12] baseLoad._typeOfDay[11] baseLoad._typeOfDay[10] baseLoad._typeOfDay[9] baseLoad._typeOfDay[8] baseLoad._typeOfDay[7] baseLoad._typeOfDay[6] baseLoad._typeOfDay[5] baseLoad._typeOfDay[4] baseLoad._typeOfDay[3] baseLoad._typeOfDay[2] baseLoad._typeOfDay[1] baseLoad.iSam[12] baseLoad.iSam[11] baseLoad.iSam[10] baseLoad.iSam[9] baseLoad.iSam[8] baseLoad.iSam[7] baseLoad.iSam[6] baseLoad.iSam[5] baseLoad.iSam[4] baseLoad.iSam[3] baseLoad.iSam[2] baseLoad.iSam[1] baseLoad.tLast baseLoad.ELast baseLoad.sampleTrigger baseLoad.PAve baseLoad.adj baseLoad.storeHistory baseLoad.typeOfDay[2] baseLoad.typeOfDay[1] baseLoad.PPre[12] baseLoad.PPre[11] baseLoad.PPre[10] baseLoad.PPre[9] baseLoad.PPre[8] baseLoad.PPre[7] baseLoad.PPre[6] baseLoad.PPre[5] baseLoad.PPre[4] baseLoad.PPre[3] baseLoad.PPre[2] baseLoad.PPre[1] baseLoad.ECon baseLoad.TOut equations: 1 : algorithm when baseLoad.sampleTrigger then baseLoad._storeHistory := if not pre(baseLoad._storeHistory) and not Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.isMidNight(time) then false else baseLoad.storeHistory; baseLoad._typeOfDay := Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getTypeOfDays(time, baseLoad.typeOfDay, baseLoad.dt, 12); baseLoad.idxSam := Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getIndex(baseLoad.iSam[1] - 1, 24); if baseLoad._storeHistory or pre(baseLoad._storeHistory) then if time - baseLoad.tLast > 1e-05 then baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam] := Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.incrementIndex(baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam], 10); if baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam] == 10 then baseLoad.historyComplete[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam] := true; end if; baseLoad.PAve := (baseLoad.ECon - baseLoad.ELast) / (time - baseLoad.tLast); baseLoad.P[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam,baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam]] := baseLoad.PAve; baseLoad.T[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam,baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam]] := (baseLoad.intTOut - baseLoad.intTOutLast) / (time - baseLoad.tLast); end if; end if; baseLoad.ELast := baseLoad.ECon; baseLoad.intTOutLast := baseLoad.intTOut; baseLoad.tLast := time; for m/* iter index 0 */ in 1:12 loop baseLoad.PPre[m] := Buildings.Controls.Predictors.BaseClasses.weatherRegression(array(baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],i] for i in 1:10), if baseLoad.historyComplete[baseLoad._typeOfDay[m],baseLoad.iSam[m]] then 10 else baseLoad.iHis[baseLoad._typeOfDay[m],baseLoad.iSam[m]], if m == 1 then baseLoad.TOut_in_internal else baseLoad.TOutFut_in_internal[m - 1], array(baseLoad.T[baseLoad._typeOfDay[m],baseLoad.iSam[m],i] for i in 1:10)); end for; if baseLoad._storeHistory or pre(baseLoad._storeHistory) then baseLoad.PPreHis[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getIndex(baseLoad.idxSam + 1, 24)] := baseLoad.PPre[1]; baseLoad.PPreHisSet[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getIndex(baseLoad.idxSam + 1, 24)] := baseLoad.iHis[baseLoad._typeOfDay[1],baseLoad.iSam[1]] > 0; end if; baseLoad.EHisAve := 0.0; baseLoad.EActAve := 0.0; for i/* iter index 0 */ in -4:-2 loop if Modelica.Math.BooleanVectors.allTrue(array(baseLoad.PPreHisSet[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getIndex(baseLoad.iSam[1] + i, 24)] for i in -4:-2)) then baseLoad.EHisAve := baseLoad.EHisAve + baseLoad.dt * baseLoad.PPreHis[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getIndex(baseLoad.idxSam + i + 1, 24)]; baseLoad.EActAve := baseLoad.EActAve + baseLoad.dt * baseLoad.P[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getIndex(baseLoad.idxSam + i + 1, 24),baseLoad.iHis[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.getIndex(baseLoad.idxSam + i + 1, 24)]]; else baseLoad.EHisAve := 0.0; baseLoad.EActAve := 0.0; end if; end for; if baseLoad.EHisAve > 1e-15 or baseLoad.EHisAve < -1e-15 then baseLoad.adj := min(baseLoad.maxAdjFac, max(baseLoad.minAdjFac, baseLoad.EActAve / baseLoad.EHisAve)); else baseLoad.adj := 1.0; end if; baseLoad.PPre[:] := {baseLoad.PPre[1] * baseLoad.adj, baseLoad.PPre[2] * baseLoad.adj, baseLoad.PPre[3] * baseLoad.adj, baseLoad.PPre[4] * baseLoad.adj, baseLoad.PPre[5] * baseLoad.adj, baseLoad.PPre[6] * baseLoad.adj, baseLoad.PPre[7] * baseLoad.adj, baseLoad.PPre[8] * baseLoad.adj, baseLoad.PPre[9] * baseLoad.adj, baseLoad.PPre[10] * baseLoad.adj, baseLoad.PPre[11] * baseLoad.adj, baseLoad.PPre[12] * baseLoad.adj}; for i/* iter index 0 */ in 1:12 loop baseLoad.iSam[i] := Buildings.Controls.Predictors.Validation.LinearInputDayOfAdjustment.baseLoad.incrementIndex(baseLoad.iSam[i], 24); end for; end when; 2 : baseLoad.TOut = baseLoad.TOut_in_internal 3 : POffSet.y = PCon.u1 4 : TOut.y = TSam.u 5 : to_degC.u = TSam.y 6 : to_degC.u = baseLoad.TOut 7 : err.u2 = PCon.y 8 : err.u2 = integrator.u 9 : integrator.y = baseLoad.ECon 10 : to_degC.y = PCon.u2 11 : baseLoad.PPre[1] = err.u1 12 : tri.y = notEventDay.u 13 : notEventDay.y = baseLoad.storeHistory 14 : dayType.y[1] = baseLoad.typeOfDay[1] 15 : dayType.y[2] = baseLoad.typeOfDay[2] 16 : baseLoad.sampleTrigger = sample(1, baseLoad.samStart, baseLoad.samplePeriod) 17 : der(baseLoad.intTOut) = baseLoad.TOut_in_internal 18 : tri.y = time >= tri.pulseStart and time < tri.pulseStart + tri.Twidth 19 : dayType.y[1] = dayType.days[mod(dayType.iDay + 1 - 2, 7) + 1] 20 : dayType.y[2] = dayType.days[mod(dayType.iDay + 2 - 2, 7) + 1] 21 : dayType.sampleTrigger = sample(3, dayType.firstSample, dayType.samplePeriod) 22 : notEventDay.y = not notEventDay.u 23 : TOut.y = TOut.offset + (if time < TOut.startTime then 0.0 else if time < TOut.startTime + TOut.duration then (time - TOut.startTime) * TOut.height / TOut.duration else TOut.height) 24 : POffSet.y = POffSet.k 25 : PCon.y = PCon.k1 * PCon.u1 + PCon.k2 * PCon.u2 26 : to_degC.y = -273.15 + to_degC.u 27 : err.y = err.k1 * err.u1 + err.k2 * err.u2 28 : TSam.sampleTrigger = sample(4, TSam.startTime, TSam.samplePeriod) 29 : der(integrator.y) = integrator.k * integrator.u 30 : when TSam.sampleTrigger then TSam.firstTrigger := time <= TSam.startTime + 0.5 * TSam.samplePeriod; end when; 31 : when {TSam.sampleTrigger, initial()} then TSam.y := TSam.u; end when; 32 : when dayType.sampleTrigger then dayType.skipIDayIncrement := false; end when; 33 : when dayType.sampleTrigger then dayType.iDay := if pre(dayType.skipIDayIncrement) then pre(dayType.iDay) else mod(pre(dayType.iDay), 7) + 1; end when; 34 : when sample(2, tri.startTime, tri.period) then tri.pulseStart := time; end when; Notification: Performance of preOpt clockPartitioning (simulation) : time 0.00245/0.6237, allocations: 1.485 MB / 1.486 GB, free: 258.3 MB / 0.8542 GB Error: pre-optimization module clockPartitioning (simulation) failed.