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;
}
/**
* 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);
}
}
}
/**
* 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 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());
}
}
}