boolean isConstant(VarInfo vi) {
   PptTopLevel ppt = vi.ppt;
   boolean isStaticConstant = vi.is_static_constant;
   boolean isDynamicConstant = ((ppt.constants != null) && ppt.constants.is_constant(vi));
   PptSlice view = ppt.findSlice(vi);
   // TODO: This should be generalized to other types of scalar
   OneOfScalar oos = (view == null) ? null : OneOfScalar.find(view);
   OneOfFloat oof = (view == null) ? null : OneOfFloat.find(view);
   boolean isOneOfConstant =
       (((oos != null) && (oos.num_elts() == 1) && (!oos.is_hashcode()))
           || ((oof != null) && (oof.num_elts() == 1)
           // no hashcode test for floats
           // && (! oof.is_hashcode())
           ));
   return isStaticConstant || isDynamicConstant || isOneOfConstant;
 }
    /**
     * Creates a valuetuple for the receiver using the vt of the original. The method copies over
     * the values of variables shared by both program points and sets the rest of the variables in
     * the receiver's valuetuple as missing. Also, adds the orig and derived variables to the
     * receiver and returns the newly created valuetuple.
     */
    private static ValueTuple copySample(
        PptTopLevel receiver, PptTopLevel original, ValueTuple vt, int nonce) {

      // Make the vt for the receiver ppt
      //      Object values[] = new Object[receiver.num_tracevars];
      //      int mods[] = new int[receiver.num_tracevars];
      Object values[] = new Object[receiver.var_infos.length - receiver.num_static_constant_vars];
      int mods[] = new int[receiver.var_infos.length - receiver.num_static_constant_vars];

      // Build the vt for the receiver ppt by looking through the current
      // vt and filling in the gaps.
      int k = 0;
      for (Iterator<VarInfo> i = receiver.var_info_iterator(); i.hasNext(); ) {

        VarInfo var = i.next();
        if (var.is_static_constant) continue;
        boolean found = false;
        for (Iterator<VarInfo> j = original.var_info_iterator(); j.hasNext(); ) {
          VarInfo var2 = j.next();

          if (var.name().equals(var2.name())) {
            values[k] = vt.getValueOrNull(var2);
            mods[k] = vt.getModified(var2);
            found = true;
            break;
          }
        }

        if (!found) {
          values[k] = null;
          mods[k] = 2;
        }
        k++;
      }

      ValueTuple receiver_vt = new ValueTuple(values, mods);

      FileIO.add_orig_variables(receiver, receiver_vt.vals, receiver_vt.mods, nonce);
      FileIO.add_derived_variables(receiver, receiver_vt.vals, receiver_vt.mods);

      return receiver_vt;
    }
示例#3
0
    /**
     * process the sample by checking it against each existing invariant and issuing an error if any
     * invariant is falsified or weakened.
     */
    public void process_sample(PptMap all_ppts, PptTopLevel ppt, ValueTuple vt, Integer nonce) {

      this.all_ppts = all_ppts;

      debug.fine("processing sample from: " + ppt.name);

      // Add orig and derived variables
      FileIO.add_orig_variables(ppt, vt.vals, vt.mods, nonce);
      FileIO.add_derived_variables(ppt, vt.vals, vt.mods);

      // Intern the sample
      vt = new ValueTuple(vt.vals, vt.mods);

      // If this is an enter point, just remember it for later
      if (ppt.ppt_name.isEnterPoint()) {
        Assert.assertTrue(nonce != null);
        if (dir_file != null) {
          // Yoav: I had to do a hack to handle the case that several dtrace files are concatenated
          // together,
          // and Sung's dtrace files have unterminated calls, and when concatenating two files you
          // can have the same nonce.
          // So I have to remove the nonce found from the call_map
          call_map.remove(nonce);
        } else Assert.assertTrue(call_map.get(nonce) == null);
        call_map.put(nonce, new EnterCall(ppt, vt));
        debug.fine("Skipping enter sample");
        return;
      }

      // If this is an exit point, process the saved enter point
      if (ppt.ppt_name.isExitPoint()) {
        Assert.assertTrue(nonce != null);
        EnterCall ec = call_map.get(nonce);
        if (ec != null) {
          call_map.remove(nonce);
          debug.fine("Processing enter sample from " + ec.ppt.name);
          add(ec.ppt, ec.vt);
        } else { // didn't find the enter
          if (!quiet)
            System.out.printf("couldn't find enter for nonce %d at ppt %s\n", nonce, ppt.name());
          return;
        }
      }

      add(ppt, vt);
    }
  /**
   * Returns true if the two original variables are related in a way that makes subsequence or
   * subset detection not informative.
   */
  public static boolean isObviousSubSequenceDynamically(
      Invariant inv, VarInfo subvar, VarInfo supervar) {

    VarInfo[] vis = {subvar, supervar};

    ProglangType rep1 = subvar.rep_type;
    ProglangType rep2 = supervar.rep_type;
    if (!(((rep1 == ProglangType.INT_ARRAY) && (rep2 == ProglangType.INT_ARRAY))
        || ((rep1 == ProglangType.DOUBLE_ARRAY) && (rep2 == ProglangType.DOUBLE_ARRAY))
        || ((rep1 == ProglangType.STRING_ARRAY) && (rep2 == ProglangType.STRING_ARRAY))))
      return false;

    if (debug.isLoggable(Level.FINE)) {
      debug.fine(
          "Checking isObviousSubSequenceDynamically " + subvar.name() + " in " + supervar.name());
    }

    Object[] di = isObviousSubSequence(subvar, supervar);
    if (di[1] != null) {
      inv.log("ObvSubSeq- true from isObviousSubSequence: " + di[1]);
      return true;
    }
    debug.fine("  not isObviousSubSequence(statically)");

    PptTopLevel ppt_parent = subvar.ppt;

    // If the elements of supervar are always the same (EltOneOf),
    // we aren't going to learn anything new from this invariant,
    // since each sequence should have an EltOneOf over it.
    if (false) {
      PptSlice1 slice = ppt_parent.findSlice(supervar);
      if (slice == null) {
        System.out.println("No slice: parent =" + ppt_parent);
      } else {
        System.out.println("Slice var =" + slice.var_infos[0]);
        for (Invariant superinv : slice.invs) {
          System.out.println("Inv = " + superinv);
          if (superinv instanceof EltOneOf) {
            EltOneOf eltinv = (EltOneOf) superinv;
            if (eltinv.num_elts() > 0) {
              inv.log(" obvious because of " + eltinv.format());
              return true;
            }
          }
        }
      }
    }

    // Obvious if subvar is always just []
    if (true) {
      PptSlice1 slice = ppt_parent.findSlice(subvar);
      if (slice != null) {
        for (Invariant subinv : slice.invs) {
          if (subinv instanceof OneOfSequence) {
            OneOfSequence seqinv = (OneOfSequence) subinv;
            if (seqinv.num_elts() == 1) {
              Object elt = seqinv.elt();
              if (elt instanceof long[] && ((long[]) elt).length == 0) {
                Debug.log(
                    debug, inv.getClass(), inv.ppt, vis, "ObvSubSeq- True from subvar being []");
                return true;
              }
              if (elt instanceof double[] && ((double[]) elt).length == 0) {
                inv.log("ObvSubSeq- True from subvar being []");
                return true;
              }
            }
          }
        }
      }
    }

    // Check for a[0..i] subseq a[0..j] but i < j.
    VarInfo subvar_super = subvar.isDerivedSubSequenceOf();
    VarInfo supervar_super = supervar.isDerivedSubSequenceOf();

    if (subvar_super != null && subvar_super == supervar_super) {
      // both sequences are derived from the same supersequence
      if ((subvar.derived instanceof SequenceScalarSubsequence
              || subvar.derived instanceof SequenceScalarArbitrarySubsequence)
          && (supervar.derived instanceof SequenceScalarSubsequence
              || supervar.derived instanceof SequenceScalarArbitrarySubsequence)) {
        VarInfo sub_left_var = null,
            sub_right_var = null,
            super_left_var = null,
            super_right_var = null;
        // I'm careful not to access foo_shift unless foo_var has been set
        // to a non-null value, but Java is too stupid to recognize that.
        int sub_left_shift = 42,
            sub_right_shift = 69,
            super_left_shift = 1492,
            super_right_shift = 1776;
        if (subvar.derived instanceof SequenceScalarSubsequence) {
          SequenceScalarSubsequence sub = (SequenceScalarSubsequence) subvar.derived;
          if (sub.from_start) {
            sub_right_var = sub.sclvar();
            sub_right_shift = sub.index_shift;
          } else {
            sub_left_var = sub.sclvar();
            sub_left_shift = sub.index_shift;
          }
        } else if (subvar.derived instanceof SequenceScalarArbitrarySubsequence) {
          SequenceScalarArbitrarySubsequence sub =
              (SequenceScalarArbitrarySubsequence) subvar.derived;
          sub_left_var = sub.startvar();
          sub_left_shift = (sub.left_closed ? 0 : 1);
          sub_right_var = sub.endvar();
          sub_right_shift = (sub.right_closed ? 0 : -1);
        } else {
          Assert.assertTrue(false);
        }
        if (supervar.derived instanceof SequenceScalarSubsequence) {
          SequenceScalarSubsequence super_ = (SequenceScalarSubsequence) supervar.derived;
          if (super_.from_start) {
            super_right_var = super_.sclvar();
            super_right_shift = super_.index_shift;
          } else {
            super_left_var = super_.sclvar();
            super_left_shift = super_.index_shift;
          }
        } else if (supervar.derived instanceof SequenceScalarArbitrarySubsequence) {
          SequenceScalarArbitrarySubsequence super_ =
              (SequenceScalarArbitrarySubsequence) supervar.derived;
          super_left_var = super_.startvar();
          super_left_shift = (super_.left_closed ? 0 : 1);
          super_right_var = super_.endvar();
          super_right_shift = (super_.right_closed ? 0 : -1);
        } else {
          Assert.assertTrue(false);
        }
        boolean left_included, right_included;
        if (super_left_var == null) left_included = true;
        else if (sub_left_var == null) // we know super_left_var != null here
        left_included = false;
        else
          left_included =
              VarInfo.compare_vars(
                  super_left_var, super_left_shift, sub_left_var, sub_left_shift, true /* <= */);
        if (super_right_var == null) right_included = true;
        else if (sub_right_var == null) // we know super_right_var != null here
        right_included = false;
        else
          right_included =
              VarInfo.compare_vars(
                  super_right_var,
                  super_right_shift,
                  sub_right_var,
                  sub_right_shift,
                  false /* >= */);
        //         System.out.println("Is " + subvar.name() + " contained in "
        //                            + supervar.name()
        //                            + "? left: " + left_included + ", right: "
        //                            + right_included);
        if (left_included && right_included) {
          inv.log("ObvSubSeq- True a[0..i] subseq a[0..j] and i < j");
          return true;
        }
      } else if ((subvar.derived instanceof SequenceStringSubsequence)
          && (supervar.derived instanceof SequenceStringSubsequence)) {
        // Copied from just above
        SequenceStringSubsequence sss1 = (SequenceStringSubsequence) subvar.derived;
        SequenceStringSubsequence sss2 = (SequenceStringSubsequence) supervar.derived;
        VarInfo index1 = sss1.sclvar();
        int shift1 = sss1.index_shift;
        boolean start1 = sss1.from_start;
        VarInfo index2 = sss2.sclvar();
        int shift2 = sss2.index_shift;
        boolean start2 = sss2.from_start;
        if (start1 == start2)
          if (VarInfo.compare_vars(index1, shift1, index2, shift2, start1)) {
            inv.log("True from comparing indices");
            return true;
          }
      } else {
        Assert.assertTrue(
            false,
            "how can this happen? "
                + subvar.name()
                + " "
                + subvar.derived.getClass()
                + " "
                + supervar.name()
                + " "
                + supervar.derived.getClass());
      }
    }

    // Also need to check A[0..i] subseq A[0..j] via compare_vars.

    // A subseq B[0..n] => A subseq B

    List<Derivation> derivees = supervar.derivees();
    // For each variable derived from supervar ("B")
    for (Derivation der : derivees) {
      // System.out.println("  ... der = " + der.getVarInfo().name() + " " + der);
      if (der instanceof SequenceScalarSubsequence) {
        // If that variable is "B[0..n]"
        VarInfo supervar_part = der.getVarInfo();
        // Get the canonical version; being equal to it is good enough.
        if (supervar_part.get_equalitySet_leader() == subvar) {
          Debug.log(debug, inv.getClass(), inv.ppt, vis, "ObvSubSeq- True from canonical leader");
          return true;
        }

        if (supervar_part.isCanonical()) {
          if (subvar == supervar_part) {
            System.err.println(
                "Error: variables "
                    + subvar.name()
                    + " and "
                    + supervar_part.name()
                    + " are identical.  Canonical");
            System.err.println(subvar.isCanonical());
            System.err.println(supervar_part.isCanonical());
            throw new Error();
          }

          // Check to see if there is a subsequence over the supervar
          if (ppt_parent.is_subsequence(subvar, supervar_part)) {
            if (Debug.logOn())
              inv.log(
                  "ObvSubSeq- true from A subseq B[0..n] "
                      + subvar.name()
                      + "/"
                      + supervar_part.name());
            return (true);
          }
        }
      }
    }
    return false;
  }
    private void add(PptTopLevel ppt, ValueTuple vt, int nonce) {

      // if this is a numbered exit, apply to the combined exit as well
      if (ppt.ppt_name.isNumberedExitPoint()) {

        // Daikon.create_combined_exits(all_ppts);
        PptTopLevel parent = all_ppts.get(ppt.ppt_name.makeExit());
        if (parent != null) {
          parent.get_missingOutOfBounds(ppt, vt);
          add(parent, vt, nonce);

        } else {
          // make parent and apply

          // this is a hack. it should probably filter out orig and derived
          // vars instead of taking the first n.
          int len = ppt.num_tracevars + ppt.num_static_constant_vars;
          VarInfo[] exit_vars = new VarInfo[len];
          for (int j = 0; j < len; j++) {
            exit_vars[j] = new VarInfo(ppt.var_infos[j]);
            exit_vars[j].varinfo_index = ppt.var_infos[j].varinfo_index;
            exit_vars[j].value_index = ppt.var_infos[j].value_index;
            exit_vars[j].equalitySet = null;
          }

          parent = new PptTopLevel(ppt.ppt_name.makeExit().getName(), exit_vars);
          Daikon.init_ppt(parent, all_ppts);
          all_ppts.add(parent);
          parent.get_missingOutOfBounds(ppt, vt);
          add(parent, vt, nonce);
        }
      }

      // If the point has no variables, skip it
      if (ppt.var_infos.length == 0) {
        // The sample should be skipped but Daikon does not do this so
        // DaikonSimple will not do this to be consistent.
        // The better idea is for Daikon to assert that these valuetuples are
        // empty and then skip the sample.
        assert vt.size() == 0;
        return;
      }

      // Instantiate slices and invariants if this is the first sample
      if (ppt.num_samples() == 0) {
        instantiate_views_and_invariants(ppt);
      }

      // manually inc the sample number because DaikonSimple does not
      // use any of PptTopLevel's add methods which increase the sample
      // number
      ppt.incSampleNumber();

      // Loop through each slice
      for (Iterator<PptSlice> i = ppt.views_iterator(); i.hasNext(); ) {
        PptSlice slice = i.next();
        Iterator<Invariant> k = slice.invs.iterator();
        boolean missing = false;

        for (VarInfo v : slice.var_infos) {
          // If any var has encountered out of array bounds values,
          // stop all invariants in this slice. The presumption here is that
          // an index out of bounds implies that the derived variable (eg a[i])
          // doesn't really make any sense (essentially that i is not a valid
          // index for a). Invariants on the derived variable are thus not
          // relevant.
          // If any variables are out of bounds, remove the invariants
          if (v.missingOutOfBounds()) {
            while (k.hasNext()) {
              Invariant inv = k.next();
              k.remove();
            }
            missing = true;
            break;
          }

          // If any variables are missing, skip this slice
          if (v.isMissing(vt)) {
            missing = true;
            break;
          }
        }

        // keep a list of the falsified invariants
        if (!missing) {
          while (k.hasNext()) {

            Invariant inv = k.next();
            Invariant pre_inv = inv.clone();
            for (VarInfo vi : inv.ppt.var_infos) {
              assert vt.getValue(vi) != null : vi;
            }
            if (inv.ppt instanceof PptSlice2) assert inv.ppt.var_infos.length == 2;
            InvariantStatus status = inv.add_sample(vt, 1);
            if (status == InvariantStatus.FALSIFIED) {
              k.remove();
            }
          }
        }

        // update num_samples and num_values of a slice manually
        // because DaikonSimple does not call any of PptTopLevel's
        // add methods
        for (int j = 0; j < vt.vals.length; j++) {
          if (!vt.isMissing(j)) {
            ValueSet vs = ppt.value_sets[j];
            vs.add(vt.vals[j]);
          }
        }
        ppt.mbtracker.add(vt, 1);
      }
    }
    /**
     * Process the sample by checking it against each existing invariant at the program point and
     * removing the invariant from the list of possibles if any invariant is falsified.
     */
    public void process_sample(
        PptMap all_ppts, PptTopLevel ppt, ValueTuple vt, /*@Nullable*/ Integer nonce) {
      this.all_ppts = all_ppts;

      // Add samples to orig and derived variables
      FileIO.add_orig_variables(ppt, vt.vals, vt.mods, nonce);
      FileIO.add_derived_variables(ppt, vt.vals, vt.mods);

      // Intern the sample
      vt = new ValueTuple(vt.vals, vt.mods);

      // DaikonSimple must make the object program point manually because
      // the new Chicory produced dtrace files do not contain object ppts
      // in the dtrace part of the file (the program point is declared).

      // Make the object ppt
      PptName ppt_name = ppt.ppt_name;

      PptTopLevel object_ppt = null;
      PptTopLevel class_ppt = null;
      ValueTuple object_vt = null;
      ValueTuple class_vt = null;

      if ((ppt_name.isEnterPoint() && !ppt_name.isConstructor()) || ppt_name.isExitPoint()) {
        object_ppt = all_ppts.get(ppt_name.makeObject());
        class_ppt = all_ppts.get(ppt_name.makeClassStatic());
      }

      // C programs do not have object ppts
      // check whether the ppt is a static or instance method
      // that decides whether the sample is copied over to the object and/or
      // class ppt
      if (object_ppt != null) {

        // the check assumes that static fields are not stored first in the
        // object ppt
        if (ppt.find_var_by_name(object_ppt.var_infos[0].name()) != null) {
          // object and class ppt should be created
          object_vt = copySample(object_ppt, ppt, vt, nonce);

          if (class_ppt != null) {
            class_vt = copySample(class_ppt, ppt, vt, nonce);
          }

        } else {
          // only class ppt should be created
          if (class_ppt != null) {
            class_vt = copySample(class_ppt, ppt, vt, nonce);
          }

          object_vt = null;
          object_ppt = null;
        }
      }

      // If this is an enter point, just remember it for later
      if (ppt_name.isEnterPoint()) {
        assert nonce != null;
        assert call_map.get(nonce) == null;
        List<Call> value = new ArrayList<Call>();
        value.add(new Call(ppt, vt));

        if (object_ppt != null) {
          value.add(new Call(object_ppt, object_vt));
        }

        if (class_ppt != null) {
          value.add(new Call(class_ppt, class_vt));
        }

        call_map.put(nonce, value);
        last_nonce = nonce;
        wait = true;
        return;
      }

      // If this is an exit point, process the saved enter (and sometimes
      // object) point
      if (ppt_name.isExitPoint()) {
        assert nonce != null;
        List<Call> value = call_map.remove(nonce);

        add(ppt, vt, nonce);

        for (Call ec : value) {
          add(ec.ppt, ec.vt, nonce);
        }
        wait = false;
      }

      if (object_ppt != null) add(object_ppt, object_vt, nonce); // apply object vt

      if (class_ppt != null) add(class_ppt, class_vt, nonce);
    }
  // Note that some slightly inefficient code has been added to aid
  // in debugging. When creating binary and ternary views and debugging
  // is on, the outer loops will not terminate prematurely on innapropriate
  // (i.e., non-canonical) variables. This allows explicit debug statements
  // for each possible combination, simplifying determining why certain
  // slices were not created.
  //
  // Note that '///*' indicates code duplicated from PptTopLevel's
  // version but commented out because DaikonSimple does not need
  // to perform these checks
  public static void instantiate_views_and_invariants(PptTopLevel ppt) {

    // used only for debugging
    int old_num_vars = ppt.var_infos.length;
    int old_num_views = ppt.numViews();
    boolean debug_on = debug.isLoggable(Level.FINE);

    // / 1. all unary views

    // Unary slices/invariants.
    // Currently, there are no constraints on the unary
    // slices. Since we are trying to create all of the invariants, the
    // variables does not have to be a leader and can be a constant.
    // Note that the always missing check is only applicable when the
    // dynamic constants optimization is turned on (so we do not do the
    // check here).

    Vector<PptSlice> unary_views = new Vector<PptSlice>(ppt.var_infos.length);
    for (VarInfo vi : ppt.var_infos) {

      // /* if (!is_slice_ok(vi))
      // /* continue;

      PptSlice1 slice1 = new PptSlice1(ppt, vi);
      slice1.instantiate_invariants();

      unary_views.add(slice1);
    }
    ppt.addViews(unary_views);
    unary_views = null;

    // / 2. all binary views

    // Binary slices/invariants.
    Vector<PptSlice> binary_views = new Vector<PptSlice>();
    for (int i1 = 0; i1 < ppt.var_infos.length; i1++) {
      VarInfo var1 = ppt.var_infos[i1];

      // Variables can be constant and missing in DaikonSimple invariants
      // /* if (!is_var_ok_binary(var1))
      // /* continue;

      for (int i2 = i1; i2 < ppt.var_infos.length; i2++) {
        VarInfo var2 = ppt.var_infos[i2];

        // Variables can be constant and missing in DaikonSimple invariants
        // /* if (!is_var_ok_binary(var2))
        // /* continue;

        if (!(var1.compatible(var2)
            || (var1.type.isArray() && var1.eltsCompatible(var2))
            || (var2.type.isArray() && var2.eltsCompatible(var1)))) {
          continue;
        }

        PptSlice2 slice2 = new PptSlice2(ppt, var1, var2);
        slice2.instantiate_invariants();

        binary_views.add(slice2);
      }
    }
    ppt.addViews(binary_views);
    binary_views = null;

    // 3. all ternary views
    Vector<PptSlice> ternary_views = new Vector<PptSlice>();
    for (int i1 = 0; i1 < ppt.var_infos.length; i1++) {
      VarInfo var1 = ppt.var_infos[i1];

      if (!is_var_ok(var1)) continue;

      for (int i2 = i1; i2 < ppt.var_infos.length; i2++) {
        VarInfo var2 = ppt.var_infos[i2];

        if (!is_var_ok(var2)) continue;

        for (int i3 = i2; i3 < ppt.var_infos.length; i3++) {
          VarInfo var3 = ppt.var_infos[i3];

          if (!is_var_ok(var3)) continue;

          if (!is_slice_ok(var1, var2, var3)) {
            continue;
          }
          PptSlice3 slice3 = new PptSlice3(ppt, var1, var2, var3);
          slice3.instantiate_invariants();
          ternary_views.add(slice3);
        }
      }
    }

    ppt.addViews(ternary_views);

    // This method didn't add any new variables.
    assert old_num_vars == ppt.var_infos.length;
    ppt.repCheck();
  }
  /**
   * This does the work of main, but it never calls System.exit, so it is appropriate to be called
   * progrmmatically. Termination of the program with a message to the user is indicated by throwing
   * Daikon.TerminationMessage.
   *
   * <p>Difference from Daikon's mainHelper: turn off optimization flags (equality, dynamic
   * constants, NIS suppression).
   *
   * @see #main(String[])
   * @see daikon.Daikon.TerminationMessage
   * @see daikon.Daikon#mainHelper(String[])
   */
  public static void mainHelper(final String[] args) throws IOException, FileNotFoundException {

    // set up logging information
    daikon.LogHelper.setupLogs(daikon.LogHelper.INFO);

    // No optimizations used in the simple incremental algorithm so
    // optimizations are turned off.
    Daikon.use_equality_optimization = false;
    Daikon.dkconfig_use_dynamic_constant_optimization = false;
    Daikon.suppress_implied_controlled_invariants = false;
    NIS.dkconfig_enabled = false;

    // The flag tells FileIO and Daikon to use DaikonSimple
    // specific methods (e.g. FileIO.read_declaration_file).
    // When FileIO reads and processes
    // samples, it must use the SimpleProcessor rather than the
    // default Processor.
    Daikon.using_DaikonSimple = true;

    // Read command line options
    Daikon.FileOptions files = Daikon.read_options(args, usage);
    // DaikonSimple does not supply nor use the spinfo_files and map_files
    Set<File> decls_files = files.decls;
    Set<String> dtrace_files = files.dtrace;

    if ((decls_files.size() == 0) && (dtrace_files.size() == 0)) {
      throw new Daikon.TerminationMessage("No .decls or .dtrace files specified");
    }

    // Create the list of all invariant types
    Daikon.setup_proto_invs();

    // Create the program points for enter and numbered exits and
    // initializes the points (adding orig and derived variables)
    all_ppts = FileIO.read_declaration_files(decls_files);

    // Create the combined exits (and add orig and derived vars)
    // Daikon.create_combined_exits(all_ppts);

    // Read and process the data trace files
    SimpleProcessor processor = new SimpleProcessor();
    FileIO.read_data_trace_files(dtrace_files, all_ppts, processor, true);

    // System.exit(0);

    // Print out the invariants for each program point (sort first)
    for (Iterator<PptTopLevel> t = all_ppts.pptIterator(); t.hasNext(); ) {
      PptTopLevel ppt = t.next();

      // We do not need to print out program points that have not seen
      // any samples.
      if (ppt.num_samples() == 0) {
        continue;
      }
      List<Invariant> invs = PrintInvariants.sort_invariant_list(ppt.invariants_vector());
      List<Invariant> filtered_invs = Daikon.filter_invs(invs);
      // The dkconfig_quiet printing is used for creating diffs between
      // DaikonSimple
      // and Daikon's output. The second kind of printing is used for
      // debugging. Since the names of the program points are the same for both
      // Daikon and DaikonSimple, diffing the two output will result in
      // only differences in the invariants, but we can not see at which program
      // points these differing invariants appear. Using the second kind of
      // printing,
      // Daikon's output does not have the '+' in the program point name, so in
      // addition
      // to the invariants showing up in the diff, we will also see the program
      // point
      // names.

      if (Daikon.dkconfig_quiet) {
        System.out.println("====================================================");
        System.out.println(ppt.name());
      } else {
        System.out.println("===================================================+");
        System.out.println(ppt.name() + " +");
      }

      // Sometimes the program points actually differ in number of
      // samples seen due to differences in how Daikon and DaikonSimple
      // see the variable hierarchy.
      System.out.println(ppt.num_samples());

      for (Invariant inv : filtered_invs) {
        System.out.println(inv.getClass());
        System.out.println(inv);
      }
    }
  }
示例#9
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#10
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++;
          }
        }
      }
    }
示例#11
0
  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());
      }
    }
  }