/**
* Extract consequents from a implications at a single program point. It only searches for top
* level Program points because Implications are produced only at those points.
*/
public static void extract_consequent_maybe(PptTopLevel ppt, PptMap all_ppts) {
ppt.simplify_variable_names();
List<Invariant> invs = new ArrayList<Invariant>();
if (invs.size() > 0) {
String pptname = cleanup_pptname(ppt.name());
for (Invariant maybe_as_inv : invs) {
Implication maybe = (Implication) maybe_as_inv;
// don't print redundant invariants.
if (Daikon.suppress_redundant_invariants_with_simplify
&& maybe.ppt.parent.redundant_invs.contains(maybe)) {
continue;
}
// don't print out invariants with min(), max(), or sum() variables
boolean mms = false;
VarInfo[] varbls = maybe.ppt.var_infos;
for (int v = 0; !mms && v < varbls.length; v++) {
mms |= varbls[v].isDerivedSequenceMinMaxSum();
}
if (mms) {
continue;
}
if (maybe.ppt.parent.ppt_name.isExitPoint()) {
for (int i = 0; i < maybe.ppt.var_infos.length; i++) {
VarInfo vi = maybe.ppt.var_infos[i];
if (vi.isDerivedParam()) {
continue;
}
}
}
Invariant consequent = maybe.consequent();
Invariant predicate = maybe.predicate();
Invariant inv, cluster_inv;
boolean cons_uses_cluster = false, pred_uses_cluster = false;
// extract the consequent (predicate) if the predicate
// (consequent) uses the variable "cluster". Ignore if they
// both depend on "cluster"
if (consequent.usesVarDerived("cluster")) cons_uses_cluster = true;
if (predicate.usesVarDerived("cluster")) pred_uses_cluster = true;
if (!(pred_uses_cluster ^ cons_uses_cluster)) {
continue;
} else if (pred_uses_cluster) {
inv = consequent;
cluster_inv = predicate;
} else {
inv = predicate;
cluster_inv = consequent;
}
if (!inv.isInteresting()) {
continue;
}
if (!inv.isWorthPrinting()) {
continue;
}
if (contains_constant_non_012(inv)) {
continue;
}
// filter out unwanted invariants
// 1) Invariants involving sequences
if (inv instanceof daikon.inv.binary.twoSequence.TwoSequence
|| inv instanceof daikon.inv.binary.sequenceScalar.SequenceScalar
|| inv instanceof daikon.inv.binary.sequenceString.SequenceString
|| inv instanceof daikon.inv.unary.sequence.SingleSequence
|| inv instanceof daikon.inv.unary.stringsequence.SingleStringSequence) {
continue;
}
if (inv instanceof daikon.inv.ternary.threeScalar.LinearTernary
|| inv instanceof daikon.inv.binary.twoScalar.LinearBinary) {
continue;
}
String inv_string = inv.format_using(OutputFormat.JAVA);
if (orig_pattern.matcher(inv_string).find()
|| dot_class_pattern.matcher(inv_string).find()) {
continue;
}
String fake_inv_string = simplify_inequalities(inv_string);
HashedConsequent real = new HashedConsequent(inv, null);
if (!fake_inv_string.equals(inv_string)) {
// For instance, inv_string is "x != y", fake_inv_string is "x == y"
HashedConsequent fake = new HashedConsequent(inv, inv_string);
boolean added =
store_invariant(
cluster_inv.format_using(OutputFormat.JAVA), fake_inv_string, fake, pptname);
if (!added) {
// We couldn't add "x == y", (when we're "x != y") because
// it already exists; so don't add "x == y" either.
continue;
}
}
store_invariant(cluster_inv.format_using(OutputFormat.JAVA), inv_string, real, pptname);
}
}
}
private void add(PptTopLevel ppt, ValueTuple vt) {
// Add the sample to any splitters
if (ppt.has_splitters()) {
for (PptSplitter ppt_split : ppt.splitters) {
PptConditional ppt_cond = ppt_split.choose_conditional(vt);
if (ppt_cond != null) add(ppt_cond, vt);
else debug.fine(": sample doesn't pick conditional");
}
}
// if this is a numbered exit, apply to the combined exit as well
if (!(ppt instanceof PptConditional) && ppt.ppt_name.isNumberedExitPoint()) {
PptTopLevel parent = all_ppts.get(ppt.ppt_name.makeExit());
if (parent != null) {
parent.get_missingOutOfBounds(ppt, vt);
add(parent, vt);
}
}
// If the point has no variables, skip it
if (ppt.var_infos.length == 0) return;
// We should have received sample here before, or there is nothing
// to check.
// Yoav added: It can be that the different dtrace and inv files have different program points
if (false && ppt.num_samples() <= 0)
Assert.assertTrue(
ppt.num_samples() > 0,
"ppt " + ppt.name + " has 0 samples and " + ppt.var_infos.length + " variables");
// Loop through each slice
slice_loop:
for (Iterator<PptSlice> i = ppt.views_iterator(); i.hasNext(); ) {
PptSlice slice = i.next();
if (debug_detail.isLoggable(Level.FINE))
debug_detail.fine(
": processing slice " + slice + "vars: " + Debug.toString(slice.var_infos, vt));
// If any variables are missing, skip this slice
for (int j = 0; j < slice.var_infos.length; j++) {
VarInfo v = slice.var_infos[j];
int mod = vt.getModified(v);
if (v.isMissing(vt)) {
if (debug_detail.isLoggable(Level.FINE))
debug_detail.fine(": : Skipping slice, " + v.name() + " missing");
continue slice_loop;
}
if (v.missingOutOfBounds()) {
if (debug_detail.isLoggable(Level.FINE))
debug.fine(": : Skipping slice, " + v.name() + " out of bounds");
continue slice_loop;
}
}
// Loop through each invariant
for (Invariant inv : slice.invs) {
if (debug_detail.isLoggable(Level.FINE))
debug_detail.fine(": : Processing invariant: " + inv);
if (!inv.isActive()) {
if (debug_detail.isLoggable(Level.FINE))
debug_detail.fine(": : skipped non-active " + inv);
continue;
}
// Yoav added
if (!activeInvariants.contains(inv)) {
// System.out.printf ("skipping invariant %s:%s\n", inv.ppt.name(),
// inv.format());
continue;
}
// String invRep = invariant2str(ppt, inv);
testedInvariants.add(inv);
InvariantStatus status = inv.add_sample(vt, 1);
sample_cnt++;
if (status != InvariantStatus.NO_CHANGE) {
LineNumberReader lnr = FileIO.data_trace_state.reader;
String line = (lnr == null) ? "?" : String.valueOf(lnr.getLineNumber());
if (!quiet) {
output_stream.println(
"At ppt "
+ ppt.name
+ ", Invariant '"
+ inv.format()
+ "' invalidated by sample "
+ Debug.toString(slice.var_infos, vt)
+ "at line "
+ line
+ " in file "
+ FileIO.data_trace_state.filename);
}
failedInvariants.add(inv);
activeInvariants.remove(inv);
error_cnt++;
}
}
}
}
private static String invariant2str(PptTopLevel ppt, Invariant inv) {
return ppt.name + " == " + inv.repr() + inv.getClass() + inv.varNames() + ": " + inv.format();
}
private static void checkInvariants() throws IOException {
// Read the invariant file
PptMap ppts = FileIO.read_serialized_pptmap(inv_file, true);
// Yoav: make sure we have unique invariants
InvariantFilters fi = InvariantFilters.defaultFilters();
// Set<String> allInvariantsStr = new HashSet<String>();
Set<Invariant> allInvariants = new HashSet<Invariant>();
for (PptTopLevel ppt : ppts.all_ppts())
for (Iterator<PptSlice> i = ppt.views_iterator(); i.hasNext(); ) {
PptSlice slice = i.next();
for (Invariant inv : slice.invs) {
if (doConf && inv.getConfidence() < Invariant.dkconfig_confidence_limit) {
// System.out.printf ("inv ignored (conf): %s:%s\n", inv.ppt.name(),
// inv.format());
continue;
}
if (doFilter && fi.shouldKeep(inv) == null) {
// System.out.printf ("inv ignored (filter): %s:%s\n",
// inv.ppt.name(), inv.format());
continue;
}
activeInvariants.add(inv);
// String n = invariant2str(ppt, inv);
// if (!allInvariants.contains(inv) && allInvariantsStr.contains(n)) throw new
// Daikon.TerminationMessage("Two invariants have the same ppt.name+inv.rep:"+n);
allInvariants.add(inv);
// allInvariantsStr.add(n);
}
}
// Read and process the data trace files
FileIO.Processor processor = new InvariantCheckProcessor();
Daikon.FileIOProgress progress = new Daikon.FileIOProgress();
progress.start();
progress.clear();
FileIO.read_data_trace_files(dtrace_files, ppts, processor, false);
progress.shouldStop = true;
System.out.println();
System.out.printf(
"%s: %,d errors found in %,d samples (%s)\n",
inv_file, error_cnt, sample_cnt, toPercentage(error_cnt, sample_cnt));
int failedCount = failedInvariants.size();
int testedCount = testedInvariants.size();
String percent = toPercentage(failedCount, testedCount);
System.out.println(
inv_file
+ ": "
+ failedCount
+ " false positives, out of "
+ testedCount
+ ", which is "
+ percent
+ ".");
if (false) {
for (Invariant inv : failedInvariants) {
System.out.printf("+%s:%s\n", inv.ppt.name(), inv.format());
}
}
}