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https://github.com/NationalSecurityAgency/ghidra.git
synced 2026-09-28 17:11:11 -09:00
GP-2974: Fixing warnings
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@@ -94,7 +94,7 @@ public class FunctionStartClassifier {
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results = classifyQ.waitForResults();
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}
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catch (InterruptedException e) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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Msg.error(this, "Exception while classifying functions: " + e.getMessage());
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}
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long end = System.nanoTime();
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@@ -303,7 +303,7 @@ public class FunctionStartRFParams {
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funcEntries = new AddressSet();
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funcInteriors = new AddressSet();
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while (fIter.hasNext()) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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Function func = fIter.next();
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monitor.incrementProgress(1);
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if (func.getBody().getNumAddresses() < minFuncSize) {
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@@ -52,7 +52,7 @@ public class GetAddressesToClassifyTask extends Task {
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monitor.initialize(prog.getFunctionManager().getFunctionCount());
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FunctionIterator fIter = prog.getFunctionManager().getFunctions(true);
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while (fIter.hasNext()) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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monitor.incrementProgress(1);
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Function func = fIter.next();
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execNonFunc = execNonFunc.subtract(func.getBody());
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@@ -116,7 +116,7 @@ public class ModelTrainingUtils {
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TaskMonitor monitor) throws CancelledException {
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AddressSet following = new AddressSet();
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for (Address addr : addresses.getAddresses(true)) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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CodeUnit cu = program.getListing().getCodeUnitAfter(addr);
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if (cu == null) {
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continue;
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@@ -149,7 +149,7 @@ public class ModelTrainingUtils {
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TaskMonitor monitor) throws CancelledException {
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AddressSet preceding = new AddressSet();
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for (Address addr : addresses.getAddresses(true)) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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CodeUnit cu = program.getListing().getCodeUnitBefore(addr);
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if (cu == null) {
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continue;
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@@ -182,7 +182,7 @@ public class ModelTrainingUtils {
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program.getListing().getDefinedData(program.getMemory().getExecuteSet(), true);
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AddressSet definedData = new AddressSet();
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for (Data d : dataIter) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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definedData.add(
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new AddressRangeImpl(d.getAddress(), d.getAddress().add(d.getLength() - 1)));
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}
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@@ -210,7 +210,7 @@ public class ModelTrainingUtils {
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monitor.initialize(source.getNumAddresses());
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Iterator<Address> addressIter = source.getAddresses(true);
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while (addressIter.hasNext()) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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Address addr = addressIter.next();
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monitor.incrementProgress(1L);
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List<Feature> trainingVector =
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@@ -338,7 +338,7 @@ public class RandomForestTrainingTask extends Task {
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List<CARTClassificationTrainer> trainers = new ArrayList<>();
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for (int i = 0; i < NUM_TREES; ++i) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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//Integer.MAX_VALUE: unlimited depth
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trainers.add(new CARTClassificationTrainer(Integer.MAX_VALUE, featureFraction,
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ThreadLocalRandom.current().nextLong()));
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@@ -371,7 +371,7 @@ public class RandomForestTrainingTask extends Task {
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new VotingCombiner());
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}
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catch (Exception e) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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Msg.error(this, "Exception while training model: " + e.getMessage());
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}
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return randomForest;
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@@ -411,7 +411,7 @@ public class RandomForestTrainingTask extends Task {
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RandomForestFunctionFinderPlugin.FUNC_START, errors);
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}
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catch (Exception e) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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Msg.error(this,
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"Exception while evaluating model on known function starts: " + e.getMessage());
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}
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@@ -430,7 +430,7 @@ public class RandomForestTrainingTask extends Task {
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RandomForestFunctionFinderPlugin.NON_START, errors);
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}
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catch (Exception e) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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Msg.error(this,
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"Exception while evaluating model on known function interiors: " + e.getMessage());
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}
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@@ -53,7 +53,7 @@ public class RandomSubsetUtils {
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int addressesVisited = 0;
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int listIndex = 0;
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while (iter.hasNext() && addressesAdded < k) {
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monitor.checkCanceled();
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monitor.checkCancelled();
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Address addr = iter.next();
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if (sortedRandom.get(listIndex) == addressesVisited) {
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randomAddresses.add(addr);
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