public static SampleValue MassCompileSample(Symbol outSymbol, SampleValue inSample, Netlist netlist, Style style)
{
//inSample.Consume(null, 0, null, netlist, style); // this prevents simulating a sample and its massaction version in succession
List <ReactionValue> inReactions = inSample.RelevantReactions(netlist, style);
CRN inCrn = new CRN(inSample, inReactions);
Gui.Log(Environment.NewLine + inCrn.FormatNice(style));
(Lst <Polynomize.ODE> odes, Lst <Polynomize.Equation> eqs) = Polynomize.FromCRN(inCrn);
(Lst <Polynomize.PolyODE> polyOdes, Lst <Polynomize.Equation> polyEqs) = Polynomize.PolynomizeODEs(odes, eqs.Reverse(), style);
Gui.Log("Polynomize:" + Environment.NewLine + Polynomize.PolyODE.Format(polyOdes, style)
+ "Initial:" + Environment.NewLine + Polynomize.Equation.Format(polyEqs, style));
(Lst <Polynomize.PolyODE> posOdes, Lst <Polynomize.Equation> posEqs, Dictionary <Symbol, SpeciesFlow> dict, Lst <Positivize.Subst> substs) = Positivize.PositivizeODEs(polyOdes, polyEqs, style);
Gui.Log("Positivize:" + Environment.NewLine + Polynomize.PolyODE.Format(posOdes, style)
+ "Initial:" + Environment.NewLine + Polynomize.Equation.Format(posEqs, style));
Lst <ReactionValue> outReactions = Hungarize.ToReactions(posOdes, style);
Gui.Log("Hungarize:" + Environment.NewLine + outReactions.FoldR((r, s) => { return(r.FormatNormal(style) + Environment.NewLine + s); }, "")
+ "Initial:" + Environment.NewLine + Polynomize.Equation.Format(posEqs, style));
SampleValue outSample = new SampleValue(outSymbol, new StateMap(outSymbol, new List <SpeciesValue> {
}, new State(0, lna: inSample.stateMap.state.lna)), new NumberValue(inSample.Volume()), new NumberValue(inSample.Temperature()), produced: true);
netlist.Emit(new SampleEntry(outSample));
posOdes.Each(ode => {
Flow initFlow = Polynomize.Equation.ToFlow(ode.var, posEqs, style).Normalize(style);
double init; if (initFlow is NumberFlow num)
{
init = num.value;
}
else
{
throw new Error("Cannot generate a simulatable sample because initial values contain constants (but the symbolic version has been generated assuming constants are nonnegative).");
}
if (init < 0)
{
throw new Error("Negative initial value of Polynomized ODE for: " + Polynomize.Lookup(ode.var, eqs, style).Format(style) + " = " + init + Environment.NewLine + Polynomize.Equation.Format(eqs, style));
}
outSample.stateMap.AddDimensionedSpecies(new SpeciesValue(ode.var.species, -1.0), init, 0.0, "M", outSample.Volume(), style);
});
outReactions.Each(reaction => { netlist.Emit(new ReactionEntry(reaction)); });
substs.Each(subst => { ReportEntry report = new ReportEntry(null, OpFlow.Op(subst.plus, "-", subst.minus), null, outSample); outSample.AddReport(report); });
foreach (KeyValuePair <Symbol, SpeciesFlow> keypair in dict)
{
ReportEntry report = new ReportEntry(null, keypair.Value, null, outSample); outSample.AddReport(report);
}
;
return(outSample);
}
public static SampleValue Equilibrate(Env env, Symbol outSymbol, SampleValue inSample, Noise noise, double fortime, Netlist netlist, Style style)
{
inSample.CheckConsumed(style); // we will consume it later, but we need to check now
double initialTime = 0.0;
double finalTime = fortime;
string sampleName = (outSymbol.Raw() == "vessel") ? "" : "Sample " + inSample.FormatSymbol(style);
KChartHandler.ChartClear(sampleName, "s", "M", style);
List <SpeciesValue> inSpecies = inSample.stateMap.species;
State initialState = inSample.stateMap.state;
if ((noise == Noise.None) && initialState.lna)
{
initialState = new State(initialState.size, lna: false).InitMeans(initialState.MeanVector());
}
if ((noise != Noise.None) && !initialState.lna)
{
initialState = new State(initialState.size, lna: true).InitMeans(initialState.MeanVector());
}
List <ReactionValue> reactions = inSample.RelevantReactions(netlist, style);
CRN crn = new CRN(inSample, reactions, precomputeLNA: (noise != Noise.None) && KControls.precomputeLNA);
KChartHandler.SetMeanFlowDictionary(crn.MeanFlowDictionary(), style);
// List<ReportEntry> reports = netlist.Reports(inSpecies);
List <ReportEntry> reports = inSample.RelevantReports(style);
Exec.lastExecution.lastCRN = crn; KGui.gui.GuiOutputSetText(crn.FormatNice(style));
Exec.lastExecution.ResetGraphCache();
Func <double, double, Vector, Func <double, Vector, Vector>, IEnumerable <SolPoint> > Solver;
if (KControls.solver == "GearBDF")
{
Solver = Ode.GearBDF;
}
else if (KControls.solver == "RK547M")
{
Solver = Ode.RK547M;
}
else
{
throw new Error("No solver");
}
Func <double, Vector, Vector> Flux;
if (noise != Noise.None)
{
Flux = (t, x) => crn.LNAFlux(t, x, style);
}
else
{
Flux = (t, x) => crn.Flux(t, x, style);
}
bool nonTrivialSolution =
(inSpecies.Count > 0) && // we don't want to run on the empty species list: Oslo crashes
(!crn.Trivial(style)) && // we don't want to run trivial ODEs: some Oslo solvers hang on very small stepping
finalTime > 0; // we don't want to run when fortime==0
// INTEGRATE
(double lastTime, State lastState) =
Integrate(Solver, initialState, initialTime, finalTime, Flux, inSample, reports, noise, nonTrivialSolution, style);
if (lastState == null)
{
lastState = initialState.Clone();
}
lastState = lastState.Positive();
List <SpeciesValue> outSpecies = new List <SpeciesValue> {
}; foreach (SpeciesValue sp in inSpecies)
{
outSpecies.Add(sp); // the species list may be destructively modified (added to) later in the new sample
}
SampleValue outSample = new SampleValue(outSymbol, new StateMap(outSymbol, outSpecies, lastState), new NumberValue(inSample.Volume()), new NumberValue(inSample.Temperature()), produced: true);
outSample.AddReports(inSample.RelevantReports(style));
foreach (ReportEntry report in reports)
{
// an equilibrate may pick up the reports of a previous equilibrate, so we reassign the report even if it has already been assigned
// this does not really affect lexical binding because a second report with the same name will get a new symbol
// P.S. this was changed so that an equilibrate no longer picks up reports of previous equilibrate, so the issue should not arise
if (report.timecourse != null)
{
env.AssignValue(report.timecourse, KChartHandler.ToTimecourse(report.timecourse, report.flow, style), reassign: true);
}
}
inSample.Consume(reactions, lastTime, lastState, netlist, style);
return(outSample);
}
