示例#1
0
  /**
   * 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);
      }
    }
  }
示例#2
0
    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++;
          }
        }
      }
    }