public void readBuildRun()
throws ContentError, ParseError, ParseException, BuildException, XMLException,
ConnectionError, RuntimeError {
File simFile = new File(modelName);
if (!simFile.exists()) {
E.error("No such file: " + simFile.getAbsolutePath());
System.exit(1);
}
FileInclusionReader fir = new FileInclusionReader(simFile);
if (typePath != null) {
fir.addSearchPaths(typePath);
}
Sim sim = new Sim(fir.read());
sim.readModel();
sim.build();
boolean doRun = true;
if (doRun) {
sim.run();
E.info("Finished reading, building, running & displaying LEMS model");
}
}
public void checkEquations(HashMap<String, Dimensional> cdimHM) throws ContentError {
HashMap<String, Dimensional> dimHM = new HashMap<String, Dimensional>();
dimHM.putAll(cdimHM);
for (RequiredVar rv : p_requiredVars) {
dimHM.put(rv.getName(), rv.getDimensionality());
}
for (StateVariable sv : stateVariables) {
dimHM.put(sv.getName(), sv.getDimensionality());
}
for (FinalParam fp : r_type.getFinalParams()) {
dimHM.put(fp.getName(), fp.getDimensionality());
}
for (InstanceProperty ip : r_type.getInstancePropertys()) {
dimHM.put(ip.getName(), ip.getDimensionality());
}
ExprDimensional tdim = new ExprDimensional();
tdim.setT(1);
dimHM.put("t", tdim);
for (DerivedVariable dv : derivedVariables) {
try {
dimHM.put(dv.getName(), dv.getDimensionality(dimHM));
} catch (ContentError ce) {
E.error("Checking " + dv + " in " + r_type + " " + ce.getMessage());
}
}
for (ConditionalDerivedVariable cdv : conditionalDerivedVariables) {
try {
dimHM.put(cdv.getName(), cdv.getDimensionality(dimHM));
} catch (ContentError ce) {
E.error("Checking " + cdv + " in " + r_type + " " + ce.getMessage());
}
}
for (TimeDerivative td : timeDerivatives) {
td.checkDimensions(dimHM);
}
for (PointResponse pr : onStarts) {
pr.checkEquations(dimHM);
}
for (PointResponse pr : onEvents) {
pr.checkEquations(dimHM);
}
for (OnCondition oc : onConditions) {
oc.checkEquations(dimHM);
oc.checkConditionDimensions(dimHM);
}
}
public MatlabWriter(Lems lems)
throws ModelFeatureSupportException, LEMSException, NeuroMLException {
super(lems, "MATLAB");
MinimalMessageHandler.setVeryMinimal(true);
E.setDebug(false);
sli.checkAllFeaturesSupported(FORMAT, lems);
}
private void runDiscreteUpdateComponent(File f1)
throws ContentError, IOException, ParseError, ConnectionError, RuntimeError {
String stxt = FileUtil.readStringFromFile(f1);
XMLElementReader exmlr = new XMLElementReader(stxt + " ");
XMLElement xel = exmlr.getRootElement();
LemsLiteFactory lf = new LemsLiteFactory();
LemsLite lemsLite = lf.buildLemsFromXMLElement(xel);
E.info("lemsLite model read: " + lemsLite.getSummary());
// XMLSerializer xs = new XMLSerializer();
// String sx = xs.serialize(lemsLite);
File fdir = f1.getParentFile();
LemsLiteSimulation lls = new LemsLiteSimulation(lemsLite);
FileDataSource fds = new FileDataSource(fdir);
lls.run(fds);
}
public ParseTree parseCondition(String e) throws ParseError {
ParseTree ret = null;
ParseTree ev = parse(e);
if (ev.isBoolean()) {
ret = ev;
} else {
E.error("not a condition: " + e);
}
return ret;
}
public ParseTree parseExpression(String e) throws ParseError {
ParseTree ret = null;
ParseTree ev = parse(e);
if (ev.isFloat()) {
ret = ev;
} else {
E.error("not an expression: " + e);
}
return ret;
}
private void realResolve(Lems lems, Parser parser) throws ContentError, ParseError {
if (lems.looseResolving()) {
// then we expose anything with a name that matches the name of an exposure
HashSet<String> expHS = new HashSet<String>();
for (Exposure exp : getComponentType().getExposures()) {
expHS.add(exp.getName());
}
for (StateVariable sv : stateVariables) {
if (sv.exposure == null && expHS.contains(sv.name)) {
sv.exposure = sv.name;
E.shortWarning(
"Implicitly exposing a state variable because its name matches an exposure: " + sv);
}
}
for (DerivedVariable dv : derivedVariables) {
if (dv.exposure == null && expHS.contains(dv.name)) {
dv.exposure = dv.name;
E.shortWarning(
"Implicitly exposing a derived variable because its name matches an exposure: " + dv);
}
}
for (ConditionalDerivedVariable dv : conditionalDerivedVariables) {
if (dv.exposure == null && expHS.contains(dv.name)) {
dv.exposure = dv.name;
E.shortWarning(
"Implicitly exposing a derived variable because its name matches an exposure: " + dv);
}
}
}
HashMap<String, Integer> exposedHM = new HashMap<String, Integer>();
for (Requirement req : getComponentType().getRequirements()) {
p_requiredVars.add(new RequiredVar(req.getName(), req.getDimension()));
}
for (Exposure exp : getComponentType().getExposures()) {
p_exposedVars.add(new ExposedVar(exp.getName(), exp.getDimension()));
exposedHM.put(exp.getName(), 0);
}
checkMakeValHM();
addToMap(lems.getGlobals(), valHM);
addToMap(lems.getConstantValueds(), valHM);
for (DerivedVariable dvar : derivedVariables) {
dvar.resolve(lems, lems.getDimensions(), r_type, valHM, parser);
if (dvar.hasExposure()) {
countExposure(dvar.getExposure(), exposedHM);
}
}
for (ConditionalDerivedVariable dvar : conditionalDerivedVariables) {
dvar.resolve(lems, lems.getDimensions(), r_type, valHM, parser);
if (dvar.hasExposure()) {
countExposure(dvar.getExposure(), exposedHM);
}
}
for (StateVariable sv : stateVariables) {
sv.resolve(r_type, lems.getDimensions());
if (sv.hasExposure()) {
countExposure(sv.getExposure(), exposedHM);
}
}
for (StateScalarField scf : stateScalarFields) {
scf.resolve(r_type, lems.getDimensions());
}
for (DerivedScalarField dcf : derivedScalarFields) {
dcf.resolve(r_type, lems.getDimensions());
}
for (DerivedPunctateField dpf : derivedPunctateFields) {
dpf.resolve(r_type, lems.getDimensions());
}
for (TimeDerivative sd : timeDerivatives) {
sd.resolve(stateVariables, valHM, parser);
}
for (OnStart os : onStarts) {
os.resolve(this, stateVariables, valHM, parser);
}
for (OnEvent oe : onEvents) {
oe.resolve(this, stateVariables, valHM, parser);
}
for (OnCondition oc : onConditions) {
oc.resolve(this, stateVariables, valHM, parser);
}
for (Regime reg : regimes) {
reg.setBehavior(this);
reg.resolve(stateVariables, lems, parser, exposedHM);
}
for (KineticScheme ks : kineticSchemes) {
ks.resolve(r_type);
}
for (String enm : exposedHM.keySet()) {
if (exposedHM.get(enm) == 0) {
E.oneLineWarning(
"No internal variable is linked to the exposure: "
+ enm
+ " for ComponentType "
+ getComponentType().getName());
}
}
}
public ParseTree parse(String ea) throws ParseError {
String e = ea;
if (verbose) {
E.info("Parsing: " + e);
}
e = e.trim();
if (e.lastIndexOf("(") == 0 && e.indexOf(")") == e.length() - 1) {
e = e.substring(1, e.length() - 1);
// E.info("Replaced with: " + e);
}
ArrayList<Node> nodes = tokenize(e);
// now we've got a list of tokens, and each is linked to is neighbor on either side
if (verbose) {
E.info("tokens: " + nodes);
}
// a group node to hold the whole lot, the same as is used for the content of bracketed chunks
GroupNode groot = new GroupNode(null);
groot.addAll(nodes);
// some nodes will get replaced, but the operators remain throughout and will be needed later
// to claim their operands. Use a list here so we can sort by precedence.
ArrayList<AbstractOperatorNode> ops = new ArrayList<AbstractOperatorNode>();
ArrayList<GroupNode> gnodes = new ArrayList<GroupNode>();
ArrayList<FunctionNode> fnodes = new ArrayList<FunctionNode>();
for (Node n : nodes) {
if (n instanceof AbstractOperatorNode) {
ops.add((AbstractOperatorNode) n);
}
if (n instanceof GroupNode) {
gnodes.add((GroupNode) n);
}
if (n instanceof FunctionNode) {
fnodes.add((FunctionNode) n);
}
}
// Right parentheses have been mapped to group nodes. Left parentheses
// are still present. Make each group node claim the content back to the corresponding
// opening parenthesis. By starting at the left and processing groups as
// we come to them we don't need recursion
for (GroupNode gn : gnodes) {
gn.gatherPreceeding();
}
if (verbose) {
E.info("Root group: " + groot.toString());
}
AbstractOperatorNode[] aops = ops.toArray(new AbstractOperatorNode[ops.size()]);
Arrays.sort(aops, new PrecedenceComparator());
for (FunctionNode fn : fnodes) {
fn.claim();
}
for (AbstractOperatorNode op : aops) {
op.claim();
}
for (GroupNode gn : gnodes) {
gn.supplantByChild();
}
ParseTreeNode root = null;
if (groot.getChildren().size() == 1) {
Node fc = groot.getChildren().get(0);
if (fc instanceof ParseTreeNode) {
root = (ParseTreeNode) fc;
} else {
throw new ParseError("root node is not evaluable " + fc);
}
} else {
StringBuilder sb = new StringBuilder();
sb.append(" too many children left in container: " + groot.getChildren().size());
sb.append("\n");
for (Node n : groot.getChildren()) {
sb.append("Node: " + n + "\n");
}
throw new ParseError(sb.toString());
}
ParseTree ret = new ParseTree(root);
return ret;
}
public ArrayList<Node> tokenize(String e) {
ArrayList<Node> ret = new ArrayList<Node>();
String ewk = disambiguate(e);
for (String op : opHM.keySet()) {
ewk = replaceAll(ewk, op, " " + op + " ");
}
ewk = replaceAll(ewk, "(", " ( ");
ewk = replaceAll(ewk, ")", " ) ");
ewk = reambiguate(ewk);
if (verbose) {
E.info("after spaces " + ewk);
}
Node pretok = null;
// StringTokenizer st = new StringTokenizer(ewk, " ");
// while (st.hasMoreTokens()) {
// String stok = st.nextToken();
// avoiding tokenizer - not part of GWT
String[] bits = ewk.split(" ");
for (int i = 0; i < bits.length; i++) {
String stok = bits[i];
stok = stok.trim();
if (stok.length() > 0) {
Node n = null;
if (stok.equals(")")) {
n = new GroupNode();
} else if (stok.equals("(")) {
n = new OpenNode();
} else if (funcHS.contains(stok)) {
n = new FunctionNode(stok);
} else if (opHM.containsKey(stok)) {
n = opHM.get(stok).copy();
if (n instanceof MinusNode && pretok instanceof AbstractOperatorNode) {
n = new UnaryMinusNode();
}
} else if (snum.indexOf(stok.substring(0, 1)) >= 0) {
n = new ConstantNode(stok);
} else {
n = new VariableNode(stok);
}
if (pretok != null) {
pretok.linkNext(n);
}
pretok = n;
ret.add(n);
}
}
return ret;
}
public String getMainScript() throws GenerationException, IOException {
StringBuilder mainRunScript = new StringBuilder();
addComment(
mainRunScript,
format + " simulator compliant export for:\n\n" + lems.textSummary(false, false));
try {
List<File> files = dlemsw.convert();
for (File file : files) {
E.info("Writing " + format + " files to: " + this.getOutputFolder());
if (file.getName().equals(mainDlemsFile)) {
VelocityUtils.initializeVelocity();
VelocityContext context = new VelocityContext();
VelocityEngine ve = VelocityUtils.getVelocityEngine();
String dlems = FileUtil.readStringFromFile(file);
DLemsWriter.putIntoVelocityContext(dlems, context);
addComment(
mainRunScript,
"Using the following distilled version of the LEMS model description for the script below:\n\n"
+ dlems);
StringWriter sw1 = new StringWriter();
boolean generationStatus =
ve.evaluate(
context,
sw1,
"LOG",
VelocityUtils.getTemplateAsReader(VelocityUtils.vertexRunTemplateFile));
mainRunScript.append(sw1);
} else if (file.getName().indexOf(".synapse.") > 0) {
StringBuilder synapseScript = new StringBuilder();
addComment(
synapseScript,
format + " simulator compliant export for:\n\n" + lems.textSummary(false, false));
E.info(" ==== Handling DLEMS file: " + file.getAbsolutePath());
VelocityUtils.initializeVelocity();
VelocityContext context = new VelocityContext();
VelocityEngine ve = VelocityUtils.getVelocityEngine();
String dlems = FileUtil.readStringFromFile(file);
DLemsWriter.putIntoVelocityContext(dlems, context);
StringWriter sw2 = new StringWriter();
boolean generationStatus2 =
ve.evaluate(
context,
sw2,
"LOG",
VelocityUtils.getTemplateAsReader(VelocityUtils.vertexSynapseTemplateFile));
addComment(
synapseScript,
"Using the following distilled version of the LEMS model description for the script below:\n\n"
+ dlems);
synapseScript.append(sw2);
String name = (String) context.internalGet(DLemsKeywords.NAME.get());
E.info("Name: " + name);
File synapseScriptFile =
new File(this.getOutputFolder(), "SynapseModel_" + name.toLowerCase() + ".m");
FileUtil.writeStringToFile(synapseScript.toString(), synapseScriptFile);
outputFiles.add(synapseScriptFile);
} else {
StringBuilder cellScript = new StringBuilder();
addComment(
cellScript,
format + " simulator compliant export for:\n\n" + lems.textSummary(false, false));
E.info(" ==== Handling DLEMS file: " + file.getAbsolutePath());
VelocityUtils.initializeVelocity();
VelocityContext context = new VelocityContext();
VelocityEngine ve = VelocityUtils.getVelocityEngine();
String dlems = FileUtil.readStringFromFile(file);
DLemsWriter.putIntoVelocityContext(dlems, context);
StringWriter sw2 = new StringWriter();
boolean generationStatus2 =
ve.evaluate(
context,
sw2,
"LOG",
VelocityUtils.getTemplateAsReader(VelocityUtils.vertexCellTemplateFile));
addComment(
cellScript,
"Using the following distilled version of the LEMS model description for the script below:\n\n"
+ dlems);
cellScript.append(sw2);
String name = (String) context.internalGet(DLemsKeywords.NAME.get());
E.info("Name: " + name);
File cellScriptFile =
new File(this.getOutputFolder(), "PointNeuronModel_" + name.toLowerCase() + ".m");
FileUtil.writeStringToFile(cellScript.toString(), cellScriptFile);
outputFiles.add(cellScriptFile);
}
}
} catch (IOException e1) {
throw new GenerationException("Problem converting LEMS to dLEMS", e1);
} catch (VelocityException e) {
throw new GenerationException("Problem using Velocity template", e);
}
return mainRunScript.toString();
}
private void initializeWriter() {
MinimalMessageHandler.setVeryMinimal(true);
E.setDebug(false);
}
