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apache/flink | flink-java/src/main/java/org/apache/flink/api/java/operators/DistinctOperator.java | DistinctOperator.translateSelectorFunctionDistinct | private static <IN, K> org.apache.flink.api.common.operators.SingleInputOperator<?, IN, ?> translateSelectorFunctionDistinct(
SelectorFunctionKeys<IN, ?> rawKeys,
ReduceFunction<IN> function,
TypeInformation<IN> outputType,
String name,
Operator<IN> input,
int parallelism,
CombineHint hint) {
@SuppressWarnings("unchecked")
final SelectorFunctionKeys<IN, K> keys = (SelectorFunctionKeys<IN, K>) rawKeys;
TypeInformation<Tuple2<K, IN>> typeInfoWithKey = KeyFunctions.createTypeWithKey(keys);
Operator<Tuple2<K, IN>> keyedInput = KeyFunctions.appendKeyExtractor(input, keys);
PlanUnwrappingReduceOperator<IN, K> reducer =
new PlanUnwrappingReduceOperator<>(function, keys, name, outputType, typeInfoWithKey);
reducer.setInput(keyedInput);
reducer.setCombineHint(hint);
reducer.setParallelism(parallelism);
return KeyFunctions.appendKeyRemover(reducer, keys);
} | java | private static <IN, K> org.apache.flink.api.common.operators.SingleInputOperator<?, IN, ?> translateSelectorFunctionDistinct(
SelectorFunctionKeys<IN, ?> rawKeys,
ReduceFunction<IN> function,
TypeInformation<IN> outputType,
String name,
Operator<IN> input,
int parallelism,
CombineHint hint) {
@SuppressWarnings("unchecked")
final SelectorFunctionKeys<IN, K> keys = (SelectorFunctionKeys<IN, K>) rawKeys;
TypeInformation<Tuple2<K, IN>> typeInfoWithKey = KeyFunctions.createTypeWithKey(keys);
Operator<Tuple2<K, IN>> keyedInput = KeyFunctions.appendKeyExtractor(input, keys);
PlanUnwrappingReduceOperator<IN, K> reducer =
new PlanUnwrappingReduceOperator<>(function, keys, name, outputType, typeInfoWithKey);
reducer.setInput(keyedInput);
reducer.setCombineHint(hint);
reducer.setParallelism(parallelism);
return KeyFunctions.appendKeyRemover(reducer, keys);
} | [
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] | b62db93bf63cb3bb34dd03d611a779d9e3fc61ac | https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/DistinctOperator.java#L128-L149 | train | Translate a single input selector function distinct. | [
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/sql/SqlBuilder.java | SqlBuilder.on | public SqlBuilder on(String on) {
if (StrUtil.isNotBlank(on)) {
this.sql.append(" ON ").append(on);
}
return this;
} | java | public SqlBuilder on(String on) {
if (StrUtil.isNotBlank(on)) {
this.sql.append(" ON ").append(on);
}
return this;
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apache/flink | flink-java/src/main/java/org/apache/flink/api/java/DataSet.java | DataSet.mapPartition | public <R> MapPartitionOperator<T, R> mapPartition(MapPartitionFunction<T, R> mapPartition) {
if (mapPartition == null) {
throw new NullPointerException("MapPartition function must not be null.");
}
String callLocation = Utils.getCallLocationName();
TypeInformation<R> resultType = TypeExtractor.getMapPartitionReturnTypes(mapPartition, getType(), callLocation, true);
return new MapPartitionOperator<>(this, resultType, clean(mapPartition), callLocation);
} | java | public <R> MapPartitionOperator<T, R> mapPartition(MapPartitionFunction<T, R> mapPartition) {
if (mapPartition == null) {
throw new NullPointerException("MapPartition function must not be null.");
}
String callLocation = Utils.getCallLocationName();
TypeInformation<R> resultType = TypeExtractor.getMapPartitionReturnTypes(mapPartition, getType(), callLocation, true);
return new MapPartitionOperator<>(this, resultType, clean(mapPartition), callLocation);
} | [
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/slotpool/SlotPoolImpl.java | SlotPoolImpl.suspend | @Override
public void suspend() {
componentMainThreadExecutor.assertRunningInMainThread();
log.info("Suspending SlotPool.");
// cancel all pending allocations --> we can request these slots
// again after we regained the leadership
Set<AllocationID> allocationIds = pendingRequests.keySetB();
for (AllocationID allocationId : allocationIds) {
resourceManagerGateway.cancelSlotRequest(allocationId);
}
// do not accept any requests
jobMasterId = null;
resourceManagerGateway = null;
// Clear (but not release!) the available slots. The TaskManagers should re-register them
// at the new leader JobManager/SlotPool
clear();
} | java | @Override
public void suspend() {
componentMainThreadExecutor.assertRunningInMainThread();
log.info("Suspending SlotPool.");
// cancel all pending allocations --> we can request these slots
// again after we regained the leadership
Set<AllocationID> allocationIds = pendingRequests.keySetB();
for (AllocationID allocationId : allocationIds) {
resourceManagerGateway.cancelSlotRequest(allocationId);
}
// do not accept any requests
jobMasterId = null;
resourceManagerGateway = null;
// Clear (but not release!) the available slots. The TaskManagers should re-register them
// at the new leader JobManager/SlotPool
clear();
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/LargeRecordHandler.java | LargeRecordHandler.createSerializer | private TypeSerializer<Object> createSerializer(Object key, int pos) {
if (key == null) {
throw new NullKeyFieldException(pos);
}
try {
TypeInformation<Object> info = TypeExtractor.getForObject(key);
return info.createSerializer(executionConfig);
}
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throw new RuntimeException("Could not create key serializer for type " + key);
}
} | java | private TypeSerializer<Object> createSerializer(Object key, int pos) {
if (key == null) {
throw new NullKeyFieldException(pos);
}
try {
TypeInformation<Object> info = TypeExtractor.getForObject(key);
return info.createSerializer(executionConfig);
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throw new RuntimeException("Could not create key serializer for type " + key);
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apache/flink | flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/JoinNode.java | JoinNode.computeOperatorSpecificDefaultEstimates | @Override
protected void computeOperatorSpecificDefaultEstimates(DataStatistics statistics) {
long card1 = getFirstPredecessorNode().getEstimatedNumRecords();
long card2 = getSecondPredecessorNode().getEstimatedNumRecords();
this.estimatedNumRecords = (card1 < 0 || card2 < 0) ? -1 : Math.max(card1, card2);
if (this.estimatedNumRecords >= 0) {
float width1 = getFirstPredecessorNode().getEstimatedAvgWidthPerOutputRecord();
float width2 = getSecondPredecessorNode().getEstimatedAvgWidthPerOutputRecord();
float width = (width1 <= 0 || width2 <= 0) ? -1 : width1 + width2;
if (width > 0) {
this.estimatedOutputSize = (long) (width * this.estimatedNumRecords);
}
}
} | java | @Override
protected void computeOperatorSpecificDefaultEstimates(DataStatistics statistics) {
long card1 = getFirstPredecessorNode().getEstimatedNumRecords();
long card2 = getSecondPredecessorNode().getEstimatedNumRecords();
this.estimatedNumRecords = (card1 < 0 || card2 < 0) ? -1 : Math.max(card1, card2);
if (this.estimatedNumRecords >= 0) {
float width1 = getFirstPredecessorNode().getEstimatedAvgWidthPerOutputRecord();
float width2 = getSecondPredecessorNode().getEstimatedAvgWidthPerOutputRecord();
float width = (width1 <= 0 || width2 <= 0) ? -1 : width1 + width2;
if (width > 0) {
this.estimatedOutputSize = (long) (width * this.estimatedNumRecords);
}
}
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networknt/light-4j | dump/src/main/java/com/networknt/dump/DumpHelper.java | DumpHelper.logResult | static void logResult(Map<String, Object> result, DumpConfig config) {
Consumer<String> loggerFunc = getLoggerFuncBasedOnLevel(config.getLogLevel());
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logResultUsingJson(result, loggerFunc);
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_logResult(result, startLevel, config.getIndentSize(), sb);
loggerFunc.accept(sb.toString());
}
} | java | static void logResult(Map<String, Object> result, DumpConfig config) {
Consumer<String> loggerFunc = getLoggerFuncBasedOnLevel(config.getLogLevel());
if(config.isUseJson()) {
logResultUsingJson(result, loggerFunc);
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int startLevel = -1;
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netty/netty | buffer/src/main/java/io/netty/buffer/ByteBufUtil.java | ByteBufUtil.hexDump | public static String hexDump(ByteBuf buffer, int fromIndex, int length) {
return HexUtil.hexDump(buffer, fromIndex, length);
} | java | public static String hexDump(ByteBuf buffer, int fromIndex, int length) {
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/environment/StreamExecutionEnvironment.java | StreamExecutionEnvironment.generateSequence | public DataStreamSource<Long> generateSequence(long from, long to) {
if (from > to) {
throw new IllegalArgumentException("Start of sequence must not be greater than the end");
}
return addSource(new StatefulSequenceSource(from, to), "Sequence Source");
} | java | public DataStreamSource<Long> generateSequence(long from, long to) {
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throw new IllegalArgumentException("Start of sequence must not be greater than the end");
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apache/flink | flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java | NFA.process | public Collection<Map<String, List<T>>> process(
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final T event,
final long timestamp,
final AfterMatchSkipStrategy afterMatchSkipStrategy,
final TimerService timerService) throws Exception {
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} | java | public Collection<Map<String, List<T>>> process(
final SharedBufferAccessor<T> sharedBufferAccessor,
final NFAState nfaState,
final T event,
final long timestamp,
final AfterMatchSkipStrategy afterMatchSkipStrategy,
final TimerService timerService) throws Exception {
try (EventWrapper eventWrapper = new EventWrapper(event, timestamp, sharedBufferAccessor)) {
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/seg/common/Vertex.java | Vertex.newNumberInstance | public static Vertex newNumberInstance(String realWord)
{
return new Vertex(Predefine.TAG_NUMBER, realWord, new CoreDictionary.Attribute(Nature.m, 1000));
} | java | public static Vertex newNumberInstance(String realWord)
{
return new Vertex(Predefine.TAG_NUMBER, realWord, new CoreDictionary.Attribute(Nature.m, 1000));
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looly/hutool | hutool-extra/src/main/java/cn/hutool/extra/ftp/AbstractFtp.java | AbstractFtp.containsIgnoreCase | private static boolean containsIgnoreCase(List<String> names, String nameToFind) {
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return false;
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for (String name : names) {
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return false;
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return false;
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return false;
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apache/flink | flink-connectors/flink-connector-cassandra/src/main/java/org/apache/flink/streaming/connectors/cassandra/CassandraSink.java | CassandraSink.slotSharingGroup | public CassandraSink<IN> slotSharingGroup(String slotSharingGroup) {
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} | java | public CassandraSink<IN> slotSharingGroup(String slotSharingGroup) {
if (useDataStreamSink) {
getSinkTransformation().setSlotSharingGroup(slotSharingGroup);
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getStreamTransformation().setSlotSharingGroup(slotSharingGroup);
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netty/netty | codec-http2/src/main/java/io/netty/handler/codec/http2/DelegatingDecompressorFrameListener.java | DelegatingDecompressorFrameListener.newContentDecompressor | protected EmbeddedChannel newContentDecompressor(final ChannelHandlerContext ctx, CharSequence contentEncoding)
throws Http2Exception {
if (GZIP.contentEqualsIgnoreCase(contentEncoding) || X_GZIP.contentEqualsIgnoreCase(contentEncoding)) {
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return new EmbeddedChannel(ctx.channel().id(), ctx.channel().metadata().hasDisconnect(),
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}
// 'identity' or unsupported
return null;
} | java | protected EmbeddedChannel newContentDecompressor(final ChannelHandlerContext ctx, CharSequence contentEncoding)
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if (GZIP.contentEqualsIgnoreCase(contentEncoding) || X_GZIP.contentEqualsIgnoreCase(contentEncoding)) {
return new EmbeddedChannel(ctx.channel().id(), ctx.channel().metadata().hasDisconnect(),
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}
if (DEFLATE.contentEqualsIgnoreCase(contentEncoding) || X_DEFLATE.contentEqualsIgnoreCase(contentEncoding)) {
final ZlibWrapper wrapper = strict ? ZlibWrapper.ZLIB : ZlibWrapper.ZLIB_OR_NONE;
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return new EmbeddedChannel(ctx.channel().id(), ctx.channel().metadata().hasDisconnect(),
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// 'identity' or unsupported
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java | SqlConnRunner.findBy | public List<Entity> findBy(Connection conn, String tableName, String field, Object value) throws SQLException{
return findAll(conn, Entity.create(tableName).set(field, value));
} | java | public List<Entity> findBy(Connection conn, String tableName, String field, Object value) throws SQLException{
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/instance/Instance.java | Instance.allocateSimpleSlot | public SimpleSlot allocateSimpleSlot() throws InstanceDiedException {
synchronized (instanceLock) {
if (isDead) {
throw new InstanceDiedException(this);
}
Integer nextSlot = availableSlots.poll();
if (nextSlot == null) {
return null;
}
else {
SimpleSlot slot = new SimpleSlot(this, location, nextSlot, taskManagerGateway);
allocatedSlots.add(slot);
return slot;
}
}
} | java | public SimpleSlot allocateSimpleSlot() throws InstanceDiedException {
synchronized (instanceLock) {
if (isDead) {
throw new InstanceDiedException(this);
}
Integer nextSlot = availableSlots.poll();
if (nextSlot == null) {
return null;
}
else {
SimpleSlot slot = new SimpleSlot(this, location, nextSlot, taskManagerGateway);
allocatedSlots.add(slot);
return slot;
}
}
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionGraph.java | ExecutionGraph.updateState | public boolean updateState(TaskExecutionState state) {
assertRunningInJobMasterMainThread();
final Execution attempt = currentExecutions.get(state.getID());
if (attempt != null) {
try {
Map<String, Accumulator<?, ?>> accumulators;
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return attempt.switchToRunning();
case FINISHED:
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attempt.markFinished(accumulators, state.getIOMetrics());
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attempt.completeCancelling(accumulators, state.getIOMetrics());
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// this deserialization is exception-free
accumulators = deserializeAccumulators(state);
attempt.markFailed(state.getError(userClassLoader), accumulators, state.getIOMetrics());
return true;
default:
// we mark as failed and return false, which triggers the TaskManager
// to remove the task
attempt.fail(new Exception("TaskManager sent illegal state update: " + state.getExecutionState()));
return false;
}
}
catch (Throwable t) {
ExceptionUtils.rethrowIfFatalErrorOrOOM(t);
// failures during updates leave the ExecutionGraph inconsistent
failGlobal(t);
return false;
}
}
else {
return false;
}
} | java | public boolean updateState(TaskExecutionState state) {
assertRunningInJobMasterMainThread();
final Execution attempt = currentExecutions.get(state.getID());
if (attempt != null) {
try {
Map<String, Accumulator<?, ?>> accumulators;
switch (state.getExecutionState()) {
case RUNNING:
return attempt.switchToRunning();
case FINISHED:
// this deserialization is exception-free
accumulators = deserializeAccumulators(state);
attempt.markFinished(accumulators, state.getIOMetrics());
return true;
case CANCELED:
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accumulators = deserializeAccumulators(state);
attempt.completeCancelling(accumulators, state.getIOMetrics());
return true;
case FAILED:
// this deserialization is exception-free
accumulators = deserializeAccumulators(state);
attempt.markFailed(state.getError(userClassLoader), accumulators, state.getIOMetrics());
return true;
default:
// we mark as failed and return false, which triggers the TaskManager
// to remove the task
attempt.fail(new Exception("TaskManager sent illegal state update: " + state.getExecutionState()));
return false;
}
}
catch (Throwable t) {
ExceptionUtils.rethrowIfFatalErrorOrOOM(t);
// failures during updates leave the ExecutionGraph inconsistent
failGlobal(t);
return false;
}
}
else {
return false;
}
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/AbstractMergeIterator.java | AbstractMergeIterator.crossSecond1withNValues | private void crossSecond1withNValues(T2 val1, T1 firstValN,
Iterator<T1> valsN, FlatJoinFunction<T1, T2, O> joinFunction, Collector<O> collector) throws Exception {
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}
while (more);
} | java | private void crossSecond1withNValues(T2 val1, T1 firstValN,
Iterator<T1> valsN, FlatJoinFunction<T1, T2, O> joinFunction, Collector<O> collector) throws Exception {
T2 copy2 = createCopy(serializer2, val1, this.copy2);
joinFunction.join(firstValN, copy2, collector);
// set copy and join first element
boolean more = true;
do {
final T1 nRec = valsN.next();
if (valsN.hasNext()) {
copy2 = createCopy(serializer2, val1, this.copy2);
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netty/netty | codec-http2/src/main/java/io/netty/handler/codec/http2/Http2FrameCodec.java | Http2FrameCodec.userEventTriggered | @Override
public final void userEventTriggered(ChannelHandlerContext ctx, Object evt) throws Exception {
if (evt == Http2ConnectionPrefaceAndSettingsFrameWrittenEvent.INSTANCE) {
// The user event implies that we are on the client.
tryExpandConnectionFlowControlWindow(connection());
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try {
onUpgradeEvent(ctx, upgrade.retain());
Http2Stream stream = connection().stream(HTTP_UPGRADE_STREAM_ID);
if (stream.getProperty(streamKey) == null) {
// TODO: improve handler/stream lifecycle so that stream isn't active before handler added.
// The stream was already made active, but ctx may have been null so it wasn't initialized.
// https://github.com/netty/netty/issues/4942
onStreamActive0(stream);
}
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} finally {
upgrade.release();
}
return;
}
super.userEventTriggered(ctx, evt);
} | java | @Override
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tryExpandConnectionFlowControlWindow(connection());
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try {
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Http2Stream stream = connection().stream(HTTP_UPGRADE_STREAM_ID);
if (stream.getProperty(streamKey) == null) {
// TODO: improve handler/stream lifecycle so that stream isn't active before handler added.
// The stream was already made active, but ctx may have been null so it wasn't initialized.
// https://github.com/netty/netty/issues/4942
onStreamActive0(stream);
}
upgrade.upgradeRequest().headers().setInt(
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stream.setProperty(upgradeKey, true);
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ctx, connection(), decoder().frameListener(), upgrade.upgradeRequest().retain());
} finally {
upgrade.release();
}
return;
}
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/dependency/perceptron/transition/trainer/ArcEagerBeamTrainer.java | ArcEagerBeamTrainer.beamSortOneThread | private void beamSortOneThread(ArrayList<Configuration> beam, TreeSet<BeamElement> beamPreserver)
{
for (int b = 0; b < beam.size(); b++)
{
Configuration configuration = beam.get(b);
State currentState = configuration.state;
float prevScore = configuration.score;
boolean canShift = ArcEager.canDo(Action.Shift, currentState);
boolean canReduce = ArcEager.canDo(Action.Reduce, currentState);
boolean canRightArc = ArcEager.canDo(Action.RightArc, currentState);
boolean canLeftArc = ArcEager.canDo(Action.LeftArc, currentState);
Object[] features = FeatureExtractor.extractAllParseFeatures(configuration, featureLength);
if (canShift)
{
float score = classifier.shiftScore(features, false);
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 0, -1, options.beamWidth);
}
if (canReduce)
{
float score = classifier.reduceScore(features, false);
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 1, -1, options.beamWidth);
}
if (canRightArc)
{
float[] rightArcScores = classifier.rightArcScores(features, false);
for (int dependency : dependencyRelations)
{
float score = rightArcScores[dependency];
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 2, dependency, options.beamWidth);
}
}
if (canLeftArc)
{
float[] leftArcScores = classifier.leftArcScores(features, false);
for (int dependency : dependencyRelations)
{
float score = leftArcScores[dependency];
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 3, dependency, options.beamWidth);
}
}
}
} | java | private void beamSortOneThread(ArrayList<Configuration> beam, TreeSet<BeamElement> beamPreserver)
{
for (int b = 0; b < beam.size(); b++)
{
Configuration configuration = beam.get(b);
State currentState = configuration.state;
float prevScore = configuration.score;
boolean canShift = ArcEager.canDo(Action.Shift, currentState);
boolean canReduce = ArcEager.canDo(Action.Reduce, currentState);
boolean canRightArc = ArcEager.canDo(Action.RightArc, currentState);
boolean canLeftArc = ArcEager.canDo(Action.LeftArc, currentState);
Object[] features = FeatureExtractor.extractAllParseFeatures(configuration, featureLength);
if (canShift)
{
float score = classifier.shiftScore(features, false);
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 0, -1, options.beamWidth);
}
if (canReduce)
{
float score = classifier.reduceScore(features, false);
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 1, -1, options.beamWidth);
}
if (canRightArc)
{
float[] rightArcScores = classifier.rightArcScores(features, false);
for (int dependency : dependencyRelations)
{
float score = rightArcScores[dependency];
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 2, dependency, options.beamWidth);
}
}
if (canLeftArc)
{
float[] leftArcScores = classifier.leftArcScores(features, false);
for (int dependency : dependencyRelations)
{
float score = leftArcScores[dependency];
float addedScore = score + prevScore;
addToBeam(beamPreserver, b, addedScore, 3, dependency, options.beamWidth);
}
}
}
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apache/flink | flink-core/src/main/java/org/apache/flink/util/function/FunctionUtils.java | FunctionUtils.nullFn | @SuppressWarnings("unchecked")
public static <T> Function<T, Void> nullFn() {
return (Function<T, Void>) NULL_FN;
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public static <T> Function<T, Void> nullFn() {
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networknt/light-4j | dump/src/main/java/com/networknt/dump/CookiesDumper.java | CookiesDumper.dumpCookies | private void dumpCookies(Map<String, Cookie> cookiesMap, String maskKey) {
cookiesMap.forEach((key, cookie) -> {
if(!config.getRequestFilteredCookies().contains(cookie.getName())) {
List<Map<String, String>> cookieInfoList = new ArrayList<>();
//mask cookieValue
String cookieValue = config.isMaskEnabled() ? Mask.maskRegex(cookie.getValue(), maskKey, cookie.getName()) : cookie.getValue();
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_VALUE, cookieValue);}});
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_DOMAIN, cookie.getDomain());}});
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_PATH, cookie.getPath());}});
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_EXPIRES, cookie.getExpires() == null ? "" : cookie.getExpires().toString());}});
this.cookieMap.put(key, cookieInfoList);
}
});
} | java | private void dumpCookies(Map<String, Cookie> cookiesMap, String maskKey) {
cookiesMap.forEach((key, cookie) -> {
if(!config.getRequestFilteredCookies().contains(cookie.getName())) {
List<Map<String, String>> cookieInfoList = new ArrayList<>();
//mask cookieValue
String cookieValue = config.isMaskEnabled() ? Mask.maskRegex(cookie.getValue(), maskKey, cookie.getName()) : cookie.getValue();
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_VALUE, cookieValue);}});
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_DOMAIN, cookie.getDomain());}});
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_PATH, cookie.getPath());}});
cookieInfoList.add(new HashMap<String, String>(){{put(DumpConstants.COOKIE_EXPIRES, cookie.getExpires() == null ? "" : cookie.getExpires().toString());}});
this.cookieMap.put(key, cookieInfoList);
}
});
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronClassifier.java | PerceptronClassifier.evaluate | public BinaryClassificationFMeasure evaluate(Instance[] instanceList)
{
int TP = 0, FP = 0, FN = 0;
for (Instance instance : instanceList)
{
int y = model.decode(instance.x);
if (y == 1)
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++TP;
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float p = TP / (float) (TP + FP) * 100;
float r = TP / (float) (TP + FN) * 100;
return new BinaryClassificationFMeasure(p, r, 2 * p * r / (p + r));
} | java | public BinaryClassificationFMeasure evaluate(Instance[] instanceList)
{
int TP = 0, FP = 0, FN = 0;
for (Instance instance : instanceList)
{
int y = model.decode(instance.x);
if (y == 1)
{
if (instance.y == 1)
++TP;
else
++FP;
}
else if (instance.y == 1)
++FN;
}
float p = TP / (float) (TP + FP) * 100;
float r = TP / (float) (TP + FN) * 100;
return new BinaryClassificationFMeasure(p, r, 2 * p * r / (p + r));
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java | FileUtil.pathEquals | public static boolean pathEquals(File file1, File file2) {
if (isWindows()) {
// Windows环境
try {
if (StrUtil.equalsIgnoreCase(file1.getCanonicalPath(), file2.getCanonicalPath())) {
return true;
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} catch (Exception e) {
if (StrUtil.equalsIgnoreCase(file1.getAbsolutePath(), file2.getAbsolutePath())) {
return true;
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// 类Unix环境
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if (StrUtil.equals(file1.getCanonicalPath(), file2.getCanonicalPath())) {
return true;
}
} catch (Exception e) {
if (StrUtil.equals(file1.getAbsolutePath(), file2.getAbsolutePath())) {
return true;
}
}
}
return false;
} | java | public static boolean pathEquals(File file1, File file2) {
if (isWindows()) {
// Windows环境
try {
if (StrUtil.equalsIgnoreCase(file1.getCanonicalPath(), file2.getCanonicalPath())) {
return true;
}
} catch (Exception e) {
if (StrUtil.equalsIgnoreCase(file1.getAbsolutePath(), file2.getAbsolutePath())) {
return true;
}
}
} else {
// 类Unix环境
try {
if (StrUtil.equals(file1.getCanonicalPath(), file2.getCanonicalPath())) {
return true;
}
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if (StrUtil.equals(file1.getAbsolutePath(), file2.getAbsolutePath())) {
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] | bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a | https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L1432-L1457 | train | Checks if two files are equal. | [
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/Snowflake.java | Snowflake.nextId | public synchronized long nextId() {
long timestamp = genTime();
if (timestamp < lastTimestamp) {
// 如果服务器时间有问题(时钟后退) 报错。
throw new IllegalStateException(StrUtil.format("Clock moved backwards. Refusing to generate id for {}ms", lastTimestamp - timestamp));
}
if (lastTimestamp == timestamp) {
sequence = (sequence + 1) & sequenceMask;
if (sequence == 0) {
timestamp = tilNextMillis(lastTimestamp);
}
} else {
sequence = 0L;
}
lastTimestamp = timestamp;
return ((timestamp - twepoch) << timestampLeftShift) | (datacenterId << datacenterIdShift) | (workerId << workerIdShift) | sequence;
} | java | public synchronized long nextId() {
long timestamp = genTime();
if (timestamp < lastTimestamp) {
// 如果服务器时间有问题(时钟后退) 报错。
throw new IllegalStateException(StrUtil.format("Clock moved backwards. Refusing to generate id for {}ms", lastTimestamp - timestamp));
}
if (lastTimestamp == timestamp) {
sequence = (sequence + 1) & sequenceMask;
if (sequence == 0) {
timestamp = tilNextMillis(lastTimestamp);
}
} else {
sequence = 0L;
}
lastTimestamp = timestamp;
return ((timestamp - twepoch) << timestampLeftShift) | (datacenterId << datacenterIdShift) | (workerId << workerIdShift) | sequence;
} | [
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@return ID | [
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/math/Combination.java | Combination.selectAll | public List<String[]> selectAll(){
final List<String[]> result = new ArrayList<>((int)countAll(this.datas.length));
for(int i = 1; i <= this.datas.length; i++) {
result.addAll(select(i));
}
return result;
} | java | public List<String[]> selectAll(){
final List<String[]> result = new ArrayList<>((int)countAll(this.datas.length));
for(int i = 1; i <= this.datas.length; i++) {
result.addAll(select(i));
}
return result;
} | [
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"... | 全组合
@return 全排列结果 | [
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netty/netty | codec/src/main/java/io/netty/handler/codec/compression/Lz4FrameEncoder.java | Lz4FrameEncoder.close | public ChannelFuture close(final ChannelPromise promise) {
ChannelHandlerContext ctx = ctx();
EventExecutor executor = ctx.executor();
if (executor.inEventLoop()) {
return finishEncode(ctx, promise);
} else {
executor.execute(new Runnable() {
@Override
public void run() {
ChannelFuture f = finishEncode(ctx(), promise);
f.addListener(new ChannelPromiseNotifier(promise));
}
});
return promise;
}
} | java | public ChannelFuture close(final ChannelPromise promise) {
ChannelHandlerContext ctx = ctx();
EventExecutor executor = ctx.executor();
if (executor.inEventLoop()) {
return finishEncode(ctx, promise);
} else {
executor.execute(new Runnable() {
@Override
public void run() {
ChannelFuture f = finishEncode(ctx(), promise);
f.addListener(new ChannelPromiseNotifier(promise));
}
});
return promise;
}
} | [
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The given {@link ChannelFuture} will be notified once the operation
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] | ba06eafa1c1824bd154f1a380019e7ea2edf3c4c | https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/compression/Lz4FrameEncoder.java#L361-L376 | train | Close the session. | [
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java | SqlConnRunner.insert | public int[] insert(Connection conn, Collection<Entity> records) throws SQLException {
return insert(conn, records.toArray(new Entity[records.size()]));
} | java | public int[] insert(Connection conn, Collection<Entity> records) throws SQLException {
return insert(conn, records.toArray(new Entity[records.size()]));
} | [
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"... | 批量插入数据<br>
需要注意的是，批量插入每一条数据结构必须一致。批量插入数据时会获取第一条数据的字段结构，之后的数据会按照这个格式插入。<br>
也就是说假如第一条数据只有2个字段，后边数据多于这两个字段的部分将被抛弃。
此方法不会关闭Connection
@param conn 数据库连接
@param records 记录列表，记录KV必须严格一致
@return 插入行数
@throws SQLException SQL执行异常 | [
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] | bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a | https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java#L141-L143 | train | Insert a collection of entities into the database. | [
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apache/flink | flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java | SqlValidatorImpl.handleScalarSubQuery | private void handleScalarSubQuery(
SqlSelect parentSelect,
SqlSelect selectItem,
List<SqlNode> expandedSelectItems,
Set<String> aliasList,
List<Map.Entry<String, RelDataType>> fieldList) {
// A scalar sub-query only has one output column.
if (1 != selectItem.getSelectList().size()) {
throw newValidationError(selectItem,
RESOURCE.onlyScalarSubQueryAllowed());
}
// No expansion in this routine just append to list.
expandedSelectItems.add(selectItem);
// Get or generate alias and add to list.
final String alias =
deriveAlias(
selectItem,
aliasList.size());
aliasList.add(alias);
final SelectScope scope = (SelectScope) getWhereScope(parentSelect);
final RelDataType type = deriveType(scope, selectItem);
setValidatedNodeType(selectItem, type);
// we do not want to pass on the RelRecordType returned
// by the sub query. Just the type of the single expression
// in the sub-query select list.
assert type instanceof RelRecordType;
RelRecordType rec = (RelRecordType) type;
RelDataType nodeType = rec.getFieldList().get(0).getType();
nodeType = typeFactory.createTypeWithNullability(nodeType, true);
fieldList.add(Pair.of(alias, nodeType));
} | java | private void handleScalarSubQuery(
SqlSelect parentSelect,
SqlSelect selectItem,
List<SqlNode> expandedSelectItems,
Set<String> aliasList,
List<Map.Entry<String, RelDataType>> fieldList) {
// A scalar sub-query only has one output column.
if (1 != selectItem.getSelectList().size()) {
throw newValidationError(selectItem,
RESOURCE.onlyScalarSubQueryAllowed());
}
// No expansion in this routine just append to list.
expandedSelectItems.add(selectItem);
// Get or generate alias and add to list.
final String alias =
deriveAlias(
selectItem,
aliasList.size());
aliasList.add(alias);
final SelectScope scope = (SelectScope) getWhereScope(parentSelect);
final RelDataType type = deriveType(scope, selectItem);
setValidatedNodeType(selectItem, type);
// we do not want to pass on the RelRecordType returned
// by the sub query. Just the type of the single expression
// in the sub-query select list.
assert type instanceof RelRecordType;
RelRecordType rec = (RelRecordType) type;
RelDataType nodeType = rec.getFieldList().get(0).getType();
nodeType = typeFactory.createTypeWithNullability(nodeType, true);
fieldList.add(Pair.of(alias, nodeType));
} | [
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java | BeanUtil.getPropertyDescriptorMap | public static Map<String, PropertyDescriptor> getPropertyDescriptorMap(Class<?> clazz, boolean ignoreCase) throws BeanException {
Map<String, PropertyDescriptor> map = BeanInfoCache.INSTANCE.getPropertyDescriptorMap(clazz, ignoreCase);
if (null == map) {
map = internalGetPropertyDescriptorMap(clazz, ignoreCase);
BeanInfoCache.INSTANCE.putPropertyDescriptorMap(clazz, map, ignoreCase);
}
return map;
} | java | public static Map<String, PropertyDescriptor> getPropertyDescriptorMap(Class<?> clazz, boolean ignoreCase) throws BeanException {
Map<String, PropertyDescriptor> map = BeanInfoCache.INSTANCE.getPropertyDescriptorMap(clazz, ignoreCase);
if (null == map) {
map = internalGetPropertyDescriptorMap(clazz, ignoreCase);
BeanInfoCache.INSTANCE.putPropertyDescriptorMap(clazz, map, ignoreCase);
}
return map;
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@return 字段名和字段描述Map
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looly/hutool | hutool-poi/src/main/java/cn/hutool/poi/excel/style/StyleUtil.java | StyleUtil.setBorder | public static CellStyle setBorder(CellStyle cellStyle, BorderStyle borderSize, IndexedColors colorIndex) {
cellStyle.setBorderBottom(borderSize);
cellStyle.setBottomBorderColor(colorIndex.index);
cellStyle.setBorderLeft(borderSize);
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cellStyle.setBorderRight(borderSize);
cellStyle.setRightBorderColor(colorIndex.index);
cellStyle.setBorderTop(borderSize);
cellStyle.setTopBorderColor(colorIndex.index);
return cellStyle;
} | java | public static CellStyle setBorder(CellStyle cellStyle, BorderStyle borderSize, IndexedColors colorIndex) {
cellStyle.setBorderBottom(borderSize);
cellStyle.setBottomBorderColor(colorIndex.index);
cellStyle.setBorderLeft(borderSize);
cellStyle.setLeftBorderColor(colorIndex.index);
cellStyle.setBorderRight(borderSize);
cellStyle.setRightBorderColor(colorIndex.index);
cellStyle.setBorderTop(borderSize);
cellStyle.setTopBorderColor(colorIndex.index);
return cellStyle;
} | [
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/InputGateMetrics.java | InputGateMetrics.refreshAndGetTotal | long refreshAndGetTotal() {
long total = 0;
for (InputChannel channel : inputGate.getInputChannels().values()) {
if (channel instanceof RemoteInputChannel) {
RemoteInputChannel rc = (RemoteInputChannel) channel;
total += rc.unsynchronizedGetNumberOfQueuedBuffers();
}
}
return total;
} | java | long refreshAndGetTotal() {
long total = 0;
for (InputChannel channel : inputGate.getInputChannels().values()) {
if (channel instanceof RemoteInputChannel) {
RemoteInputChannel rc = (RemoteInputChannel) channel;
total += rc.unsynchronizedGetNumberOfQueuedBuffers();
}
}
return total;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/Validator.java | Validator.isBirthday | public static boolean isBirthday(int year, int month, int day) {
// 验证年
int thisYear = DateUtil.thisYear();
if (year < 1900 || year > thisYear) {
return false;
}
// 验证月
if (month < 1 || month > 12) {
return false;
}
// 验证日
if (day < 1 || day > 31) {
return false;
}
if ((month == 4 || month == 6 || month == 9 || month == 11) && day == 31) {
return false;
}
if (month == 2) {
if (day > 29 || (day == 29 && false == DateUtil.isLeapYear(year))) {
return false;
}
}
return true;
} | java | public static boolean isBirthday(int year, int month, int day) {
// 验证年
int thisYear = DateUtil.thisYear();
if (year < 1900 || year > thisYear) {
return false;
}
// 验证月
if (month < 1 || month > 12) {
return false;
}
// 验证日
if (day < 1 || day > 31) {
return false;
}
if ((month == 4 || month == 6 || month == 9 || month == 11) && day == 31) {
return false;
}
if (month == 2) {
if (day > 29 || (day == 29 && false == DateUtil.isLeapYear(year))) {
return false;
}
}
return true;
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/mining/cluster/Cluster.java | Cluster.remove_document | void remove_document(Document doc)
{
for (Document<K> document : documents_)
{
if (document.equals(doc))
{
remove_document(doc);
return;
}
}
} | java | void remove_document(Document doc)
{
for (Document<K> document : documents_)
{
if (document.equals(doc))
{
remove_document(doc);
return;
}
}
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/PatternPool.java | PatternPool.remove | public static Pattern remove(String regex, int flags) {
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} | java | public static Pattern remove(String regex, int flags) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/XmlUtil.java | XmlUtil.write | public static void write(Node node, OutputStream out, String charset, int indent) {
transform(new DOMSource(node), new StreamResult(out), charset, indent);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java | FileUtil.writeBytes | public static File writeBytes(byte[] data, File dest, int off, int len, boolean isAppend) throws IORuntimeException {
return FileWriter.create(dest).write(data, off, len, isAppend);
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java | DataStream.broadcast | @PublicEvolving
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final DataStream<T> broadcastStream = setConnectionType(new BroadcastPartitioner<>());
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netty/netty | codec/src/main/java/io/netty/handler/codec/compression/Bzip2BitWriter.java | Bzip2BitWriter.flush | void flush(ByteBuf out) {
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final int bitCount = this.bitCount;
if (bitCount > 0) {
final long bitBuffer = this.bitBuffer;
final int shiftToRight = 64 - bitCount;
if (bitCount <= 8) {
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apache/flink | flink-core/src/main/java/org/apache/flink/util/AbstractCloseableRegistry.java | AbstractCloseableRegistry.registerCloseable | public final void registerCloseable(C closeable) throws IOException {
if (null == closeable) {
return;
}
synchronized (getSynchronizationLock()) {
if (!closed) {
doRegister(closeable, closeableToRef);
return;
}
}
IOUtils.closeQuietly(closeable);
throw new IOException("Cannot register Closeable, registry is already closed. Closing argument.");
} | java | public final void registerCloseable(C closeable) throws IOException {
if (null == closeable) {
return;
}
synchronized (getSynchronizationLock()) {
if (!closed) {
doRegister(closeable, closeableToRef);
return;
}
}
IOUtils.closeQuietly(closeable);
throw new IOException("Cannot register Closeable, registry is already closed. Closing argument.");
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/hooks/MasterHooks.java | MasterHooks.reset | public static void reset(
final Collection<MasterTriggerRestoreHook<?>> hooks,
final Logger log) throws FlinkException {
for (MasterTriggerRestoreHook<?> hook : hooks) {
final String id = hook.getIdentifier();
try {
hook.reset();
}
catch (Throwable t) {
ExceptionUtils.rethrowIfFatalErrorOrOOM(t);
throw new FlinkException("Error while resetting checkpoint master hook '" + id + '\'', t);
}
}
} | java | public static void reset(
final Collection<MasterTriggerRestoreHook<?>> hooks,
final Logger log) throws FlinkException {
for (MasterTriggerRestoreHook<?> hook : hooks) {
final String id = hook.getIdentifier();
try {
hook.reset();
}
catch (Throwable t) {
ExceptionUtils.rethrowIfFatalErrorOrOOM(t);
throw new FlinkException("Error while resetting checkpoint master hook '" + id + '\'', t);
}
}
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java | MiniCluster.createRpcService | protected RpcService createRpcService(
AkkaRpcServiceConfiguration akkaRpcServiceConfig,
boolean remoteEnabled,
String bindAddress) {
final Config akkaConfig;
if (remoteEnabled) {
akkaConfig = AkkaUtils.getAkkaConfig(akkaRpcServiceConfig.getConfiguration(), bindAddress, 0);
} else {
akkaConfig = AkkaUtils.getAkkaConfig(akkaRpcServiceConfig.getConfiguration());
}
final Config effectiveAkkaConfig = AkkaUtils.testDispatcherConfig().withFallback(akkaConfig);
final ActorSystem actorSystem = AkkaUtils.createActorSystem(effectiveAkkaConfig);
return new AkkaRpcService(actorSystem, akkaRpcServiceConfig);
} | java | protected RpcService createRpcService(
AkkaRpcServiceConfiguration akkaRpcServiceConfig,
boolean remoteEnabled,
String bindAddress) {
final Config akkaConfig;
if (remoteEnabled) {
akkaConfig = AkkaUtils.getAkkaConfig(akkaRpcServiceConfig.getConfiguration(), bindAddress, 0);
} else {
akkaConfig = AkkaUtils.getAkkaConfig(akkaRpcServiceConfig.getConfiguration());
}
final Config effectiveAkkaConfig = AkkaUtils.testDispatcherConfig().withFallback(akkaConfig);
final ActorSystem actorSystem = AkkaUtils.createActorSystem(effectiveAkkaConfig);
return new AkkaRpcService(actorSystem, akkaRpcServiceConfig);
} | [
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netty/netty | buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java | CompositeByteBuf.addComponents | public CompositeByteBuf addComponents(int cIndex, Iterable<ByteBuf> buffers) {
return addComponents(false, cIndex, buffers);
} | java | public CompositeByteBuf addComponents(int cIndex, Iterable<ByteBuf> buffers) {
return addComponents(false, cIndex, buffers);
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apache/spark | common/network-yarn/src/main/java/org/apache/spark/network/yarn/YarnShuffleServiceMetrics.java | YarnShuffleServiceMetrics.getMetrics | @Override
public void getMetrics(MetricsCollector collector, boolean all) {
MetricsRecordBuilder metricsRecordBuilder = collector.addRecord("sparkShuffleService");
for (Map.Entry<String, Metric> entry : metricSet.getMetrics().entrySet()) {
collectMetric(metricsRecordBuilder, entry.getKey(), entry.getValue());
}
} | java | @Override
public void getMetrics(MetricsCollector collector, boolean all) {
MetricsRecordBuilder metricsRecordBuilder = collector.addRecord("sparkShuffleService");
for (Map.Entry<String, Metric> entry : metricSet.getMetrics().entrySet()) {
collectMetric(metricsRecordBuilder, entry.getKey(), entry.getValue());
}
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apache/flink | flink-core/src/main/java/org/apache/flink/configuration/description/Formatter.java | Formatter.format | public String format(Description description) {
for (BlockElement blockElement : description.getBlocks()) {
blockElement.format(this);
}
return finalizeFormatting();
} | java | public String format(Description description) {
for (BlockElement blockElement : description.getBlocks()) {
blockElement.format(this);
}
return finalizeFormatting();
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/PinyinUtil.java | PinyinUtil.getFirstLetter | public static char getFirstLetter(char ch) {
if (ch >= 'a' && ch <= 'z') {
return ch;
}
if (ch >= 'A' && ch <= 'Z') {
return Character.toLowerCase(ch);
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return 'd';
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return 'f';
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return 'g';
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return 'h';
} else if (count < 49062) {
return 'j';
} else if (count < 49324) {
return 'k';
} else if (count < 49896) {
return 'l';
} else if (count < 50371) {
return 'm';
} else if (count < 50614) {
return 'n';
} else if (count < 50622) {
return 'o';
} else if (count < 50906) {
return 'p';
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} else if (count < 53689) {
return 'x';
} else if (count < 54481) {
return 'y';
} else if (count < 55290) {
return 'z';
}
return ch;
} | java | public static char getFirstLetter(char ch) {
if (ch >= 'a' && ch <= 'z') {
return ch;
}
if (ch >= 'A' && ch <= 'Z') {
return Character.toLowerCase(ch);
}
final byte[] bys = String.valueOf(ch).getBytes(CharsetUtil.CHARSET_GBK);
if (bys.length == 1) {
return ch;
}
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if (count < 45217) {
return ch;
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return 'l';
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return 'm';
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return 'n';
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return 'r';
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return 's';
} else if (count < 52698) {
return 't';
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return 'w';
} else if (count < 53689) {
return 'x';
} else if (count < 54481) {
return 'y';
} else if (count < 55290) {
return 'z';
}
return ch;
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感谢【帝都】宁静 提供方法
@param ch 汉字
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apache/flink | flink-core/src/main/java/org/apache/flink/core/io/SimpleVersionedSerialization.java | SimpleVersionedSerialization.writeVersionAndSerialize | public static <T> byte[] writeVersionAndSerialize(SimpleVersionedSerializer<T> serializer, T datum) throws IOException {
checkNotNull(serializer, "serializer");
checkNotNull(datum, "datum");
final byte[] data = serializer.serialize(datum);
final byte[] versionAndData = new byte[data.length + 8];
final int version = serializer.getVersion();
versionAndData[0] = (byte) (version >> 24);
versionAndData[1] = (byte) (version >> 16);
versionAndData[2] = (byte) (version >> 8);
versionAndData[3] = (byte) version;
final int length = data.length;
versionAndData[4] = (byte) (length >> 24);
versionAndData[5] = (byte) (length >> 16);
versionAndData[6] = (byte) (length >> 8);
versionAndData[7] = (byte) length;
// move the data to the array
System.arraycopy(data, 0, versionAndData, 8, data.length);
return versionAndData;
} | java | public static <T> byte[] writeVersionAndSerialize(SimpleVersionedSerializer<T> serializer, T datum) throws IOException {
checkNotNull(serializer, "serializer");
checkNotNull(datum, "datum");
final byte[] data = serializer.serialize(datum);
final byte[] versionAndData = new byte[data.length + 8];
final int version = serializer.getVersion();
versionAndData[0] = (byte) (version >> 24);
versionAndData[1] = (byte) (version >> 16);
versionAndData[2] = (byte) (version >> 8);
versionAndData[3] = (byte) version;
final int length = data.length;
versionAndData[4] = (byte) (length >> 24);
versionAndData[5] = (byte) (length >> 16);
versionAndData[6] = (byte) (length >> 8);
versionAndData[7] = (byte) length;
// move the data to the array
System.arraycopy(data, 0, versionAndData, 8, data.length);
return versionAndData;
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/AllWindowedStream.java | AllWindowedStream.evictor | @PublicEvolving
public AllWindowedStream<T, W> evictor(Evictor<? super T, ? super W> evictor) {
if (windowAssigner instanceof BaseAlignedWindowAssigner) {
throw new UnsupportedOperationException("Cannot use a " + windowAssigner.getClass().getSimpleName() + " with an Evictor.");
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this.evictor = evictor;
return this;
} | java | @PublicEvolving
public AllWindowedStream<T, W> evictor(Evictor<? super T, ? super W> evictor) {
if (windowAssigner instanceof BaseAlignedWindowAssigner) {
throw new UnsupportedOperationException("Cannot use a " + windowAssigner.getClass().getSimpleName() + " with an Evictor.");
}
this.evictor = evictor;
return this;
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spring-projects/spring-boot | spring-boot-project/spring-boot-tools/spring-boot-loader/src/main/java/org/springframework/boot/loader/jar/Handler.java | Handler.addToRootFileCache | static void addToRootFileCache(File sourceFile, JarFile jarFile) {
Map<File, JarFile> cache = rootFileCache.get();
if (cache == null) {
cache = new ConcurrentHashMap<>();
rootFileCache = new SoftReference<>(cache);
}
cache.put(sourceFile, jarFile);
} | java | static void addToRootFileCache(File sourceFile, JarFile jarFile) {
Map<File, JarFile> cache = rootFileCache.get();
if (cache == null) {
cache = new ConcurrentHashMap<>();
rootFileCache = new SoftReference<>(cache);
}
cache.put(sourceFile, jarFile);
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spring-projects/spring-boot | spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/filewatch/FileSystemWatcher.java | FileSystemWatcher.addSourceFolders | public void addSourceFolders(Iterable<File> folders) {
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synchronized (this.monitor) {
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apache/flink | flink-core/src/main/java/org/apache/flink/configuration/description/TextElement.java | TextElement.code | public static TextElement code(String text) {
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TextElement element = text(text);
element.textStyles.add(TextStyle.CODE);
return element;
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looly/hutool | hutool-system/src/main/java/cn/hutool/system/SystemUtil.java | SystemUtil.dumpSystemInfo | public static void dumpSystemInfo(PrintWriter out) {
out.println("--------------");
out.println(getJvmSpecInfo());
out.println("--------------");
out.println(getJvmInfo());
out.println("--------------");
out.println(getJavaSpecInfo());
out.println("--------------");
out.println(getJavaInfo());
out.println("--------------");
out.println(getJavaRuntimeInfo());
out.println("--------------");
out.println(getOsInfo());
out.println("--------------");
out.println(getUserInfo());
out.println("--------------");
out.println(getHostInfo());
out.println("--------------");
out.println(getRuntimeInfo());
out.println("--------------");
out.flush();
} | java | public static void dumpSystemInfo(PrintWriter out) {
out.println("--------------");
out.println(getJvmSpecInfo());
out.println("--------------");
out.println(getJvmInfo());
out.println("--------------");
out.println(getJavaSpecInfo());
out.println("--------------");
out.println(getJavaInfo());
out.println("--------------");
out.println(getJavaRuntimeInfo());
out.println("--------------");
out.println(getOsInfo());
out.println("--------------");
out.println(getUserInfo());
out.println("--------------");
out.println(getHostInfo());
out.println("--------------");
out.println(getRuntimeInfo());
out.println("--------------");
out.flush();
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redisson/redisson | redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java | CacheConfig.toJSON | public static String toJSON(Map<String, ? extends CacheConfig> config) throws IOException {
return new CacheConfigSupport().toJSON(config);
} | java | public static String toJSON(Map<String, ? extends CacheConfig> config) throws IOException {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java | NumberUtil.mul | public static BigDecimal mul(Number v1, Number v2) {
return mul(new Number[] { v1, v2 });
} | java | public static BigDecimal mul(Number v1, Number v2) {
return mul(new Number[] { v1, v2 });
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netty/netty | handler/src/main/java/io/netty/handler/logging/LoggingHandler.java | LoggingHandler.formatByteBufHolder | private static String formatByteBufHolder(ChannelHandlerContext ctx, String eventName, ByteBufHolder msg) {
String chStr = ctx.channel().toString();
String msgStr = msg.toString();
ByteBuf content = msg.content();
int length = content.readableBytes();
if (length == 0) {
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buf.append(chStr).append(' ').append(eventName).append(": ")
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appendPrettyHexDump(buf, content);
return buf.toString();
}
} | java | private static String formatByteBufHolder(ChannelHandlerContext ctx, String eventName, ByteBufHolder msg) {
String chStr = ctx.channel().toString();
String msgStr = msg.toString();
ByteBuf content = msg.content();
int length = content.readableBytes();
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buf.append(chStr).append(' ').append(eventName).append(", ").append(msgStr).append(", 0B");
return buf.toString();
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StringBuilder buf = new StringBuilder(
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buf.append(chStr).append(' ').append(eventName).append(": ")
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appendPrettyHexDump(buf, content);
return buf.toString();
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/model/perceptron/model/LinearModel.java | LinearModel.load | public void load(String modelFile) throws IOException
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logger.start("加载 %s ... ", modelFile);
ByteArrayStream byteArray = ByteArrayStream.createByteArrayStream(modelFile);
if (!load(byteArray))
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if (HanLP.Config.DEBUG)
logger.start("加载 %s ... ", modelFile);
ByteArrayStream byteArray = ByteArrayStream.createByteArrayStream(modelFile);
if (!load(byteArray))
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if (HanLP.Config.DEBUG)
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netty/netty | handler/src/main/java/io/netty/handler/ssl/SslContextBuilder.java | SslContextBuilder.keyManager | public SslContextBuilder keyManager(KeyManagerFactory keyManagerFactory) {
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checkNotNull(keyManagerFactory, "keyManagerFactory required for servers");
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keyCertChain = null;
key = null;
keyPassword = null;
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} | java | public SslContextBuilder keyManager(KeyManagerFactory keyManagerFactory) {
if (forServer) {
checkNotNull(keyManagerFactory, "keyManagerFactory required for servers");
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keyCertChain = null;
key = null;
keyPassword = null;
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return this;
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netty/netty | codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java | HttpHeaders.addHeader | @Deprecated
public static void addHeader(HttpMessage message, String name, Object value) {
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apache/spark | common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java | UTF8String.trimLeft | public UTF8String trimLeft(UTF8String trimString) {
if (trimString == null) return null;
// the searching byte position in the source string
int srchIdx = 0;
// the first beginning byte position of a non-matching character
int trimIdx = 0;
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trimIdx += searchCharBytes;
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break;
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srchIdx += searchCharBytes;
}
if (trimIdx >= numBytes) {
// empty string
return EMPTY_UTF8;
} else {
return copyUTF8String(trimIdx, numBytes - 1);
}
} | java | public UTF8String trimLeft(UTF8String trimString) {
if (trimString == null) return null;
// the searching byte position in the source string
int srchIdx = 0;
// the first beginning byte position of a non-matching character
int trimIdx = 0;
while (srchIdx < numBytes) {
UTF8String searchChar = copyUTF8String(
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int searchCharBytes = searchChar.numBytes;
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break;
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srchIdx += searchCharBytes;
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if (trimIdx >= numBytes) {
// empty string
return EMPTY_UTF8;
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/sql/SqlBuilder.java | SqlBuilder.buildCondition | private String buildCondition(LogicalOperator logicalOperator, Condition... conditions) {
if (ArrayUtil.isEmpty(conditions)) {
return StrUtil.EMPTY;
}
if (null == logicalOperator) {
logicalOperator = LogicalOperator.AND;
}
final StringBuilder conditionStrBuilder = new StringBuilder();
boolean isFirst = true;
for (Condition condition : conditions) {
// 添加逻辑运算符
if (isFirst) {
isFirst = false;
} else {
// " AND " 或者 " OR "
conditionStrBuilder.append(StrUtil.SPACE).append(logicalOperator).append(StrUtil.SPACE);
}
// 构建条件部分："name = ?"、"name IN (?,?,?)"、"name BETWEEN ？AND ？"、"name LIKE ?"
conditionStrBuilder.append(condition.toString(this.paramValues));
}
return conditionStrBuilder.toString();
} | java | private String buildCondition(LogicalOperator logicalOperator, Condition... conditions) {
if (ArrayUtil.isEmpty(conditions)) {
return StrUtil.EMPTY;
}
if (null == logicalOperator) {
logicalOperator = LogicalOperator.AND;
}
final StringBuilder conditionStrBuilder = new StringBuilder();
boolean isFirst = true;
for (Condition condition : conditions) {
// 添加逻辑运算符
if (isFirst) {
isFirst = false;
} else {
// " AND " 或者 " OR "
conditionStrBuilder.append(StrUtil.SPACE).append(logicalOperator).append(StrUtil.SPACE);
}
// 构建条件部分："name = ?"、"name IN (?,?,?)"、"name BETWEEN ？AND ？"、"name LIKE ?"
conditionStrBuilder.append(condition.toString(this.paramValues));
}
return conditionStrBuilder.toString();
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/KeyedStream.java | KeyedStream.asQueryableState | @PublicEvolving
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stateDescriptor.initializeSerializerUnlessSet(getExecutionConfig());
return new QueryableStateStream<>(
queryableStateName,
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} | java | @PublicEvolving
public QueryableStateStream<KEY, T> asQueryableState(
String queryableStateName,
ValueStateDescriptor<T> stateDescriptor) {
transform("Queryable state: " + queryableStateName,
getType(),
new QueryableValueStateOperator<>(queryableStateName, stateDescriptor));
stateDescriptor.initializeSerializerUnlessSet(getExecutionConfig());
return new QueryableStateStream<>(
queryableStateName,
stateDescriptor,
getKeyType().createSerializer(getExecutionConfig()));
} | [
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looly/hutool | hutool-system/src/main/java/cn/hutool/system/JavaInfo.java | JavaInfo.getJavaVersionAsInt | private final int getJavaVersionAsInt() {
if (JAVA_VERSION == null) {
return 0;
}
String str = JAVA_VERSION.substring(0, 1);
str = str + JAVA_VERSION.substring(2, 3);
if (JAVA_VERSION.length() >= 5) {
str = str + JAVA_VERSION.substring(4, 5);
} else {
str = str + "0";
}
return Integer.parseInt(str);
} | java | private final int getJavaVersionAsInt() {
if (JAVA_VERSION == null) {
return 0;
}
String str = JAVA_VERSION.substring(0, 1);
str = str + JAVA_VERSION.substring(2, 3);
if (JAVA_VERSION.length() >= 5) {
str = str + JAVA_VERSION.substring(4, 5);
} else {
str = str + "0";
}
return Integer.parseInt(str);
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apache/flink | flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java | PojoSerializer.getSubclassSerializer | TypeSerializer<?> getSubclassSerializer(Class<?> subclass) {
TypeSerializer<?> result = subclassSerializerCache.get(subclass);
if (result == null) {
result = createSubclassSerializer(subclass);
subclassSerializerCache.put(subclass, result);
}
return result;
} | java | TypeSerializer<?> getSubclassSerializer(Class<?> subclass) {
TypeSerializer<?> result = subclassSerializerCache.get(subclass);
if (result == null) {
result = createSubclassSerializer(subclass);
subclassSerializerCache.put(subclass, result);
}
return result;
} | [
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looly/hutool | hutool-json/src/main/java/cn/hutool/json/JSONUtil.java | JSONUtil.readJSON | public static JSON readJSON(File file, Charset charset) throws IORuntimeException {
return parse(FileReader.create(file, charset).readString());
} | java | public static JSON readJSON(File file, Charset charset) throws IORuntimeException {
return parse(FileReader.create(file, charset).readString());
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looly/hutool | hutool-extra/src/main/java/cn/hutool/extra/mail/MailUtil.java | MailUtil.splitAddress | private static List<String> splitAddress(String addresses){
if(StrUtil.isBlank(addresses)) {
return null;
}
List<String> result;
if(StrUtil.contains(addresses, ',')) {
result = StrUtil.splitTrim(addresses, ',');
}else if(StrUtil.contains(addresses, ';')) {
result = StrUtil.splitTrim(addresses, ';');
}else {
result = CollUtil.newArrayList(addresses);
}
return result;
} | java | private static List<String> splitAddress(String addresses){
if(StrUtil.isBlank(addresses)) {
return null;
}
List<String> result;
if(StrUtil.contains(addresses, ',')) {
result = StrUtil.splitTrim(addresses, ',');
}else if(StrUtil.contains(addresses, ';')) {
result = StrUtil.splitTrim(addresses, ';');
}else {
result = CollUtil.newArrayList(addresses);
}
return result;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/HexUtil.java | HexUtil.appendHex | public static void appendHex(StringBuilder builder, byte b, boolean toLowerCase) {
final char[] toDigits = toLowerCase ? DIGITS_LOWER : DIGITS_UPPER;
int high = (b & 0xf0) >>> 4;//高位
int low = b & 0x0f;//低位
builder.append(toDigits[high]);
builder.append(toDigits[low]);
} | java | public static void appendHex(StringBuilder builder, byte b, boolean toLowerCase) {
final char[] toDigits = toLowerCase ? DIGITS_LOWER : DIGITS_UPPER;
int high = (b & 0xf0) >>> 4;//高位
int low = b & 0x0f;//低位
builder.append(toDigits[high]);
builder.append(toDigits[low]);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/JarClassLoader.java | JarClassLoader.loadJarToSystemClassLoader | public static URLClassLoader loadJarToSystemClassLoader(File jarFile) {
URLClassLoader urlClassLoader = (URLClassLoader) ClassLoader.getSystemClassLoader();
loadJar(urlClassLoader, jarFile);
return urlClassLoader;
} | java | public static URLClassLoader loadJarToSystemClassLoader(File jarFile) {
URLClassLoader urlClassLoader = (URLClassLoader) ClassLoader.getSystemClassLoader();
loadJar(urlClassLoader, jarFile);
return urlClassLoader;
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apache/flink | flink-table/flink-table-common/src/main/java/org/apache/flink/table/descriptors/Statistics.java | Statistics.columnAvgLength | public Statistics columnAvgLength(String columnName, Double avgLen) {
this.columnStats
.computeIfAbsent(columnName, column -> new HashMap<>())
.put(AVG_LENGTH, String.valueOf(avgLen));
return this;
} | java | public Statistics columnAvgLength(String columnName, Double avgLen) {
this.columnStats
.computeIfAbsent(columnName, column -> new HashMap<>())
.put(AVG_LENGTH, String.valueOf(avgLen));
return this;
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netty/netty | codec-http2/src/main/java/io/netty/handler/codec/http2/HpackDecoder.java | HpackDecoder.setMaxHeaderTableSize | public void setMaxHeaderTableSize(long maxHeaderTableSize) throws Http2Exception {
if (maxHeaderTableSize < MIN_HEADER_TABLE_SIZE || maxHeaderTableSize > MAX_HEADER_TABLE_SIZE) {
throw connectionError(PROTOCOL_ERROR, "Header Table Size must be >= %d and <= %d but was %d",
MIN_HEADER_TABLE_SIZE, MAX_HEADER_TABLE_SIZE, maxHeaderTableSize);
}
maxDynamicTableSize = maxHeaderTableSize;
if (maxDynamicTableSize < encoderMaxDynamicTableSize) {
// decoder requires less space than encoder
// encoder MUST signal this change
maxDynamicTableSizeChangeRequired = true;
hpackDynamicTable.setCapacity(maxDynamicTableSize);
}
} | java | public void setMaxHeaderTableSize(long maxHeaderTableSize) throws Http2Exception {
if (maxHeaderTableSize < MIN_HEADER_TABLE_SIZE || maxHeaderTableSize > MAX_HEADER_TABLE_SIZE) {
throw connectionError(PROTOCOL_ERROR, "Header Table Size must be >= %d and <= %d but was %d",
MIN_HEADER_TABLE_SIZE, MAX_HEADER_TABLE_SIZE, maxHeaderTableSize);
}
maxDynamicTableSize = maxHeaderTableSize;
if (maxDynamicTableSize < encoderMaxDynamicTableSize) {
// decoder requires less space than encoder
// encoder MUST signal this change
maxDynamicTableSizeChangeRequired = true;
hpackDynamicTable.setCapacity(maxDynamicTableSize);
}
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/Db.java | Db.quietRollback | private void quietRollback(Connection conn) {
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/state/DuplicatingCheckpointOutputStream.java | DuplicatingCheckpointOutputStream.closeAndGetSecondaryHandle | public StreamStateHandle closeAndGetSecondaryHandle() throws IOException {
if (secondaryStreamException == null) {
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flushInternalBuffer();
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/TopNBuffer.java | TopNBuffer.removeLast | BaseRow removeLast() {
Map.Entry<BaseRow, Collection<BaseRow>> last = treeMap.lastEntry();
BaseRow lastElement = null;
if (last != null) {
Collection<BaseRow> list = last.getValue();
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currentTopNum -= 1;
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if (list.size() == 0) {
treeMap.remove(last.getKey());
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}
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return lastElement;
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Map.Entry<BaseRow, Collection<BaseRow>> last = treeMap.lastEntry();
BaseRow lastElement = null;
if (last != null) {
Collection<BaseRow> list = last.getValue();
lastElement = getLastElement(list);
if (lastElement != null) {
if (list.remove(lastElement)) {
currentTopNum -= 1;
}
if (list.size() == 0) {
treeMap.remove(last.getKey());
}
}
}
return lastElement;
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netty/netty | codec-http2/src/main/java/io/netty/handler/codec/http2/Http2FrameCodec.java | Http2FrameCodec.forEachActiveStream | final void forEachActiveStream(final Http2FrameStreamVisitor streamVisitor) throws Http2Exception {
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apache/flink | flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/api/java/hadoop/mapred/HadoopOutputFormatBase.java | HadoopOutputFormatBase.open | @Override
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// enforce sequential open() calls
synchronized (OPEN_MUTEX) {
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throw new IOException("Task id too large.");
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this.jobConf.set("mapred.task.id", taskAttemptID.toString());
this.jobConf.setInt("mapred.task.partition", taskNumber + 1);
// for hadoop 2.2
this.jobConf.set("mapreduce.task.attempt.id", taskAttemptID.toString());
this.jobConf.setInt("mapreduce.task.partition", taskNumber + 1);
this.context = new TaskAttemptContextImpl(this.jobConf, taskAttemptID);
this.outputCommitter = this.jobConf.getOutputCommitter();
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this.outputCommitter.setupJob(jobContext);
this.recordWriter = this.mapredOutputFormat.getRecordWriter(null, this.jobConf, Integer.toString(taskNumber + 1), new HadoopDummyProgressable());
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public void open(int taskNumber, int numTasks) throws IOException {
// enforce sequential open() calls
synchronized (OPEN_MUTEX) {
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throw new IOException("Task id too large.");
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this.jobConf.set("mapred.task.id", taskAttemptID.toString());
this.jobConf.setInt("mapred.task.partition", taskNumber + 1);
// for hadoop 2.2
this.jobConf.set("mapreduce.task.attempt.id", taskAttemptID.toString());
this.jobConf.setInt("mapreduce.task.partition", taskNumber + 1);
this.context = new TaskAttemptContextImpl(this.jobConf, taskAttemptID);
this.outputCommitter = this.jobConf.getOutputCommitter();
JobContext jobContext = new JobContextImpl(this.jobConf, new JobID());
this.outputCommitter.setupJob(jobContext);
this.recordWriter = this.mapredOutputFormat.getRecordWriter(null, this.jobConf, Integer.toString(taskNumber + 1), new HadoopDummyProgressable());
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apache/flink | flink-connectors/flink-connector-hive/src/main/java/org/apache/flink/table/catalog/hive/GenericHiveMetastoreCatalogUtil.java | GenericHiveMetastoreCatalogUtil.createHiveDatabase | public static Database createHiveDatabase(String dbName, CatalogDatabase db) {
Map<String, String> props = db.getProperties();
return new Database(
dbName,
db.getDescription().isPresent() ? db.getDescription().get() : null,
null,
props);
} | java | public static Database createHiveDatabase(String dbName, CatalogDatabase db) {
Map<String, String> props = db.getProperties();
return new Database(
dbName,
db.getDescription().isPresent() ? db.getDescription().get() : null,
null,
props);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java | CollUtil.newArrayList | public static <T> ArrayList<T> newArrayList(Iterable<T> iterable) {
return (ArrayList<T>) list(false, iterable);
} | java | public static <T> ArrayList<T> newArrayList(Iterable<T> iterable) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java | DateUtil.getEndValue | public static int getEndValue(Calendar calendar, int dateField) {
if(Calendar.DAY_OF_WEEK == dateField) {
return (calendar.getFirstDayOfWeek() + 6) % 7;
}
return calendar.getActualMaximum(dateField);
} | java | public static int getEndValue(Calendar calendar, int dateField) {
if(Calendar.DAY_OF_WEEK == dateField) {
return (calendar.getFirstDayOfWeek() + 6) % 7;
}
return calendar.getActualMaximum(dateField);
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networknt/light-4j | utility/src/main/java/com/networknt/utility/StringUtils.java | StringUtils.inputStreamToString | public static String inputStreamToString(InputStream inputStream, Charset charset) throws IOException {
if (inputStream != null && inputStream.available() != -1) {
ByteArrayOutputStream result = new ByteArrayOutputStream();
byte[] buffer = new byte[1024];
int length;
while ((length = inputStream.read(buffer)) != -1) {
result.write(buffer, 0, length);
}
if (charset != null) {
return result.toString(charset.name());
}
return result.toString(StandardCharsets.UTF_8.name());
}
return null;
} | java | public static String inputStreamToString(InputStream inputStream, Charset charset) throws IOException {
if (inputStream != null && inputStream.available() != -1) {
ByteArrayOutputStream result = new ByteArrayOutputStream();
byte[] buffer = new byte[1024];
int length;
while ((length = inputStream.read(buffer)) != -1) {
result.write(buffer, 0, length);
}
if (charset != null) {
return result.toString(charset.name());
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return result.toString(StandardCharsets.UTF_8.name());
}
return null;
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apache/spark | examples/src/main/java/org/apache/spark/examples/sql/hive/JavaSparkHiveExample.java | JavaSparkHiveExample.main | public static void main(String[] args) {
// $example on:spark_hive$
// warehouseLocation points to the default location for managed databases and tables
String warehouseLocation = new File("spark-warehouse").getAbsolutePath();
SparkSession spark = SparkSession
.builder()
.appName("Java Spark Hive Example")
.config("spark.sql.warehouse.dir", warehouseLocation)
.enableHiveSupport()
.getOrCreate();
spark.sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING) USING hive");
spark.sql("LOAD DATA LOCAL INPATH 'examples/src/main/resources/kv1.txt' INTO TABLE src");
// Queries are expressed in HiveQL
spark.sql("SELECT * FROM src").show();
// +---+-------+
// |key| value|
// +---+-------+
// |238|val_238|
// | 86| val_86|
// |311|val_311|
// ...
// Aggregation queries are also supported.
spark.sql("SELECT COUNT(*) FROM src").show();
// +--------+
// |count(1)|
// +--------+
// | 500 |
// +--------+
// The results of SQL queries are themselves DataFrames and support all normal functions.
Dataset<Row> sqlDF = spark.sql("SELECT key, value FROM src WHERE key < 10 ORDER BY key");
// The items in DataFrames are of type Row, which lets you to access each column by ordinal.
Dataset<String> stringsDS = sqlDF.map(
(MapFunction<Row, String>) row -> "Key: " + row.get(0) + ", Value: " + row.get(1),
Encoders.STRING());
stringsDS.show();
// +--------------------+
// | value|
// +--------------------+
// |Key: 0, Value: val_0|
// |Key: 0, Value: val_0|
// |Key: 0, Value: val_0|
// ...
// You can also use DataFrames to create temporary views within a SparkSession.
List<Record> records = new ArrayList<>();
for (int key = 1; key < 100; key++) {
Record record = new Record();
record.setKey(key);
record.setValue("val_" + key);
records.add(record);
}
Dataset<Row> recordsDF = spark.createDataFrame(records, Record.class);
recordsDF.createOrReplaceTempView("records");
// Queries can then join DataFrames data with data stored in Hive.
spark.sql("SELECT * FROM records r JOIN src s ON r.key = s.key").show();
// +---+------+---+------+
// |key| value|key| value|
// +---+------+---+------+
// | 2| val_2| 2| val_2|
// | 2| val_2| 2| val_2|
// | 4| val_4| 4| val_4|
// ...
// $example off:spark_hive$
spark.stop();
} | java | public static void main(String[] args) {
// $example on:spark_hive$
// warehouseLocation points to the default location for managed databases and tables
String warehouseLocation = new File("spark-warehouse").getAbsolutePath();
SparkSession spark = SparkSession
.builder()
.appName("Java Spark Hive Example")
.config("spark.sql.warehouse.dir", warehouseLocation)
.enableHiveSupport()
.getOrCreate();
spark.sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING) USING hive");
spark.sql("LOAD DATA LOCAL INPATH 'examples/src/main/resources/kv1.txt' INTO TABLE src");
// Queries are expressed in HiveQL
spark.sql("SELECT * FROM src").show();
// +---+-------+
// |key| value|
// +---+-------+
// |238|val_238|
// | 86| val_86|
// |311|val_311|
// ...
// Aggregation queries are also supported.
spark.sql("SELECT COUNT(*) FROM src").show();
// +--------+
// |count(1)|
// +--------+
// | 500 |
// +--------+
// The results of SQL queries are themselves DataFrames and support all normal functions.
Dataset<Row> sqlDF = spark.sql("SELECT key, value FROM src WHERE key < 10 ORDER BY key");
// The items in DataFrames are of type Row, which lets you to access each column by ordinal.
Dataset<String> stringsDS = sqlDF.map(
(MapFunction<Row, String>) row -> "Key: " + row.get(0) + ", Value: " + row.get(1),
Encoders.STRING());
stringsDS.show();
// +--------------------+
// | value|
// +--------------------+
// |Key: 0, Value: val_0|
// |Key: 0, Value: val_0|
// |Key: 0, Value: val_0|
// ...
// You can also use DataFrames to create temporary views within a SparkSession.
List<Record> records = new ArrayList<>();
for (int key = 1; key < 100; key++) {
Record record = new Record();
record.setKey(key);
record.setValue("val_" + key);
records.add(record);
}
Dataset<Row> recordsDF = spark.createDataFrame(records, Record.class);
recordsDF.createOrReplaceTempView("records");
// Queries can then join DataFrames data with data stored in Hive.
spark.sql("SELECT * FROM records r JOIN src s ON r.key = s.key").show();
// +---+------+---+------+
// |key| value|key| value|
// +---+------+---+------+
// | 2| val_2| 2| val_2|
// | 2| val_2| 2| val_2|
// | 4| val_4| 4| val_4|
// ...
// $example off:spark_hive$
spark.stop();
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apache/spark | launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java | SparkLauncher.launch | public Process launch() throws IOException {
ProcessBuilder pb = createBuilder();
boolean outputToLog = outputStream == null;
boolean errorToLog = !redirectErrorStream && errorStream == null;
String loggerName = getLoggerName();
if (loggerName != null && outputToLog && errorToLog) {
pb.redirectErrorStream(true);
}
Process childProc = pb.start();
if (loggerName != null) {
InputStream logStream = outputToLog ? childProc.getInputStream() : childProc.getErrorStream();
new OutputRedirector(logStream, loggerName, REDIRECTOR_FACTORY);
}
return childProc;
} | java | public Process launch() throws IOException {
ProcessBuilder pb = createBuilder();
boolean outputToLog = outputStream == null;
boolean errorToLog = !redirectErrorStream && errorStream == null;
String loggerName = getLoggerName();
if (loggerName != null && outputToLog && errorToLog) {
pb.redirectErrorStream(true);
}
Process childProc = pb.start();
if (loggerName != null) {
InputStream logStream = outputToLog ? childProc.getInputStream() : childProc.getErrorStream();
new OutputRedirector(logStream, loggerName, REDIRECTOR_FACTORY);
}
return childProc;
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The {@link #startApplication(SparkAppHandle.Listener...)} method is preferred when launching
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apache/flink | flink-java/src/main/java/org/apache/flink/api/java/sampling/PoissonSampler.java | PoissonSampler.sample | @Override
public Iterator<T> sample(final Iterator<T> input) {
if (fraction == 0) {
return emptyIterable;
}
return new SampledIterator<T>() {
T currentElement;
int currentCount = 0;
@Override
public boolean hasNext() {
if (currentCount > 0) {
return true;
} else {
samplingProcess();
if (currentCount > 0) {
return true;
} else {
return false;
}
}
}
@Override
public T next() {
if (currentCount <= 0) {
samplingProcess();
}
currentCount--;
return currentElement;
}
public int poisson_ge1(double p) {
// sample 'k' from Poisson(p), conditioned to k >= 1.
double q = Math.pow(Math.E, -p);
// simulate a poisson trial such that k >= 1.
double t = q + (1 - q) * random.nextDouble();
int k = 1;
// continue standard poisson generation trials.
t = t * random.nextDouble();
while (t > q) {
k++;
t = t * random.nextDouble();
}
return k;
}
private void skipGapElements(int num) {
// skip the elements that occurrence number is zero.
int elementCount = 0;
while (input.hasNext() && elementCount < num) {
currentElement = input.next();
elementCount++;
}
}
private void samplingProcess() {
if (fraction <= THRESHOLD) {
double u = Math.max(random.nextDouble(), EPSILON);
int gap = (int) (Math.log(u) / -fraction);
skipGapElements(gap);
if (input.hasNext()) {
currentElement = input.next();
currentCount = poisson_ge1(fraction);
}
} else {
while (input.hasNext()) {
currentElement = input.next();
currentCount = poissonDistribution.sample();
if (currentCount > 0) {
break;
}
}
}
}
};
} | java | @Override
public Iterator<T> sample(final Iterator<T> input) {
if (fraction == 0) {
return emptyIterable;
}
return new SampledIterator<T>() {
T currentElement;
int currentCount = 0;
@Override
public boolean hasNext() {
if (currentCount > 0) {
return true;
} else {
samplingProcess();
if (currentCount > 0) {
return true;
} else {
return false;
}
}
}
@Override
public T next() {
if (currentCount <= 0) {
samplingProcess();
}
currentCount--;
return currentElement;
}
public int poisson_ge1(double p) {
// sample 'k' from Poisson(p), conditioned to k >= 1.
double q = Math.pow(Math.E, -p);
// simulate a poisson trial such that k >= 1.
double t = q + (1 - q) * random.nextDouble();
int k = 1;
// continue standard poisson generation trials.
t = t * random.nextDouble();
while (t > q) {
k++;
t = t * random.nextDouble();
}
return k;
}
private void skipGapElements(int num) {
// skip the elements that occurrence number is zero.
int elementCount = 0;
while (input.hasNext() && elementCount < num) {
currentElement = input.next();
elementCount++;
}
}
private void samplingProcess() {
if (fraction <= THRESHOLD) {
double u = Math.max(random.nextDouble(), EPSILON);
int gap = (int) (Math.log(u) / -fraction);
skipGapElements(gap);
if (input.hasNext()) {
currentElement = input.next();
currentCount = poisson_ge1(fraction);
}
} else {
while (input.hasNext()) {
currentElement = input.next();
currentCount = poissonDistribution.sample();
if (currentCount > 0) {
break;
}
}
}
}
};
} | [
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SeleniumHQ/selenium | java/client/src/org/openqa/selenium/Proxy.java | Proxy.setSslProxy | public Proxy setSslProxy(String sslProxy) {
verifyProxyTypeCompatibility(ProxyType.MANUAL);
this.proxyType = ProxyType.MANUAL;
this.sslProxy = sslProxy;
return this;
} | java | public Proxy setSslProxy(String sslProxy) {
verifyProxyTypeCompatibility(ProxyType.MANUAL);
this.proxyType = ProxyType.MANUAL;
this.sslProxy = sslProxy;
return this;
} | [
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@param sslProxy the proxy host, expected format is <code>hostname.com:1234</code>
@return reference to self | [
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SeleniumHQ/selenium | java/client/src/org/openqa/selenium/support/ui/Select.java | Select.selectByVisibleText | @Override
public void selectByVisibleText(String text) {
// try to find the option via XPATH ...
List<WebElement> options =
element.findElements(By.xpath(".//option[normalize-space(.) = " + Quotes.escape(text) + "]"));
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setSelected(option, true);
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String subStringWithoutSpace = getLongestSubstringWithoutSpace(text);
List<WebElement> candidates;
if ("".equals(subStringWithoutSpace)) {
// hmm, text is either empty or contains only spaces - get all options ...
candidates = element.findElements(By.tagName("option"));
} else {
// get candidates via XPATH ...
candidates =
element.findElements(By.xpath(".//option[contains(., " +
Quotes.escape(subStringWithoutSpace) + ")]"));
}
for (WebElement option : candidates) {
if (text.equals(option.getText())) {
setSelected(option, true);
if (!isMultiple()) {
return;
}
matched = true;
}
}
}
if (!matched) {
throw new NoSuchElementException("Cannot locate option with text: " + text);
}
} | java | @Override
public void selectByVisibleText(String text) {
// try to find the option via XPATH ...
List<WebElement> options =
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for (WebElement option : options) {
setSelected(option, true);
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String subStringWithoutSpace = getLongestSubstringWithoutSpace(text);
List<WebElement> candidates;
if ("".equals(subStringWithoutSpace)) {
// hmm, text is either empty or contains only spaces - get all options ...
candidates = element.findElements(By.tagName("option"));
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// get candidates via XPATH ...
candidates =
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}
for (WebElement option : candidates) {
if (text.equals(option.getText())) {
setSelected(option, true);
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}
matched = true;
}
}
}
if (!matched) {
throw new NoSuchElementException("Cannot locate option with text: " + text);
}
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apache/spark | sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftHttpServlet.java | ThriftHttpServlet.getHttpOnlyCookieHeader | private static String getHttpOnlyCookieHeader(Cookie cookie) {
NewCookie newCookie = new NewCookie(cookie.getName(), cookie.getValue(),
cookie.getPath(), cookie.getDomain(), cookie.getVersion(),
cookie.getComment(), cookie.getMaxAge(), cookie.getSecure());
return newCookie + "; HttpOnly";
} | java | private static String getHttpOnlyCookieHeader(Cookie cookie) {
NewCookie newCookie = new NewCookie(cookie.getName(), cookie.getValue(),
cookie.getPath(), cookie.getDomain(), cookie.getVersion(),
cookie.getComment(), cookie.getMaxAge(), cookie.getSecure());
return newCookie + "; HttpOnly";
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looly/hutool | hutool-json/src/main/java/cn/hutool/json/JSONConverter.java | JSONConverter.toList | protected static <T> List<T> toList(JSONArray jsonArray, Class<T> elementType) {
return Convert.toList(elementType, jsonArray);
} | java | protected static <T> List<T> toList(JSONArray jsonArray, Class<T> elementType) {
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/zookeeper/ZooKeeperUtilityFactory.java | ZooKeeperUtilityFactory.createZooKeeperStateHandleStore | public <T extends Serializable> ZooKeeperStateHandleStore<T> createZooKeeperStateHandleStore(
String zkStateHandleStorePath,
RetrievableStateStorageHelper<T> stateStorageHelper) throws Exception {
return ZooKeeperUtils.createZooKeeperStateHandleStore(
facade,
zkStateHandleStorePath,
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} | java | public <T extends Serializable> ZooKeeperStateHandleStore<T> createZooKeeperStateHandleStore(
String zkStateHandleStorePath,
RetrievableStateStorageHelper<T> stateStorageHelper) throws Exception {
return ZooKeeperUtils.createZooKeeperStateHandleStore(
facade,
zkStateHandleStorePath,
stateStorageHelper);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java | NumberUtil.mul | public static BigDecimal mul(String v1, String v2) {
return mul(new BigDecimal(v1), new BigDecimal(v2));
} | java | public static BigDecimal mul(String v1, String v2) {
return mul(new BigDecimal(v1), new BigDecimal(v2));
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/tasks/StreamTask.java | StreamTask.createStateBackend | private StateBackend createStateBackend() throws Exception {
final StateBackend fromApplication = configuration.getStateBackend(getUserCodeClassLoader());
return StateBackendLoader.fromApplicationOrConfigOrDefault(
fromApplication,
getEnvironment().getTaskManagerInfo().getConfiguration(),
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} | java | private StateBackend createStateBackend() throws Exception {
final StateBackend fromApplication = configuration.getStateBackend(getUserCodeClassLoader());
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/ConsistentHash.java | ConsistentHash.remove | public void remove(T node) {
for (int i = 0; i < numberOfReplicas; i++) {
circle.remove(hashFunc.hash(node.toString() + i));
}
} | java | public void remove(T node) {
for (int i = 0; i < numberOfReplicas; i++) {
circle.remove(hashFunc.hash(node.toString() + i));
}
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apache/flink | flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/statemachine/event/Event.java | Event.formatAddress | public static String formatAddress(int address) {
int b1 = (address >>> 24) & 0xff;
int b2 = (address >>> 16) & 0xff;
int b3 = (address >>> 8) & 0xff;
int b4 = address & 0xff;
return "" + b1 + '.' + b2 + '.' + b3 + '.' + b4;
} | java | public static String formatAddress(int address) {
int b1 = (address >>> 24) & 0xff;
int b2 = (address >>> 16) & 0xff;
int b3 = (address >>> 8) & 0xff;
int b4 = address & 0xff;
return "" + b1 + '.' + b2 + '.' + b3 + '.' + b4;
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looly/hutool | hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/VelocityUtil.java | VelocityUtil.toFile | public static void toFile(Template template, VelocityContext context, String destPath) {
PrintWriter writer = null;
try {
writer = FileUtil.getPrintWriter(destPath, Velocity.getProperty(Velocity.INPUT_ENCODING).toString(), false);
merge(template, context, writer);
} catch (IORuntimeException e) {
throw new UtilException(e, "Write Velocity content to [{}] error!", destPath);
} finally {
IoUtil.close(writer);
}
} | java | public static void toFile(Template template, VelocityContext context, String destPath) {
PrintWriter writer = null;
try {
writer = FileUtil.getPrintWriter(destPath, Velocity.getProperty(Velocity.INPUT_ENCODING).toString(), false);
merge(template, context, writer);
} catch (IORuntimeException e) {
throw new UtilException(e, "Write Velocity content to [{}] error!", destPath);
} finally {
IoUtil.close(writer);
}
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spring-projects/spring-boot | spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/undertow/UndertowCompressionConfigurer.java | UndertowCompressionConfigurer.configureCompression | public static HttpHandler configureCompression(Compression compression,
HttpHandler httpHandler) {
if (compression == null || !compression.getEnabled()) {
return httpHandler;
}
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repository.addEncodingHandler("gzip", new GzipEncodingProvider(), 50,
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return new EncodingHandler(repository).setNext(httpHandler);
} | java | public static HttpHandler configureCompression(Compression compression,
HttpHandler httpHandler) {
if (compression == null || !compression.getEnabled()) {
return httpHandler;
}
ContentEncodingRepository repository = new ContentEncodingRepository();
repository.addEncodingHandler("gzip", new GzipEncodingProvider(), 50,
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return new EncodingHandler(repository).setNext(httpHandler);
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java | IOUtil.readBytesFromOtherInputStream | public static int readBytesFromOtherInputStream(InputStream is, byte[] targetArray) throws IOException
{
assert targetArray != null;
if (targetArray.length == 0) return 0;
int len;
int off = 0;
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off += len;
}
return off;
} | java | public static int readBytesFromOtherInputStream(InputStream is, byte[] targetArray) throws IOException
{
assert targetArray != null;
if (targetArray.length == 0) return 0;
int len;
int off = 0;
while (off < targetArray.length && (len = is.read(targetArray, off, targetArray.length - off)) != -1)
{
off += len;
}
return off;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java | ReUtil.findAll | public static List<String> findAll(String regex, CharSequence content, int group) {
return findAll(regex, content, group, new ArrayList<String>());
} | java | public static List<String> findAll(String regex, CharSequence content, int group) {
return findAll(regex, content, group, new ArrayList<String>());
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointCoordinator.java | CheckpointCoordinator.receiveDeclineMessage | public void receiveDeclineMessage(DeclineCheckpoint message) {
if (shutdown || message == null) {
return;
}
if (!job.equals(message.getJob())) {
throw new IllegalArgumentException("Received DeclineCheckpoint message for job " +
message.getJob() + " while this coordinator handles job " + job);
}
final long checkpointId = message.getCheckpointId();
final String reason = (message.getReason() != null ? message.getReason().getMessage() : "");
PendingCheckpoint checkpoint;
synchronized (lock) {
// we need to check inside the lock for being shutdown as well, otherwise we
// get races and invalid error log messages
if (shutdown) {
return;
}
checkpoint = pendingCheckpoints.remove(checkpointId);
if (checkpoint != null && !checkpoint.isDiscarded()) {
LOG.info("Decline checkpoint {} by task {} of job {}.", checkpointId, message.getTaskExecutionId(), job);
discardCheckpoint(checkpoint, message.getReason());
}
else if (checkpoint != null) {
// this should not happen
throw new IllegalStateException(
"Received message for discarded but non-removed checkpoint " + checkpointId);
}
else if (LOG.isDebugEnabled()) {
if (recentPendingCheckpoints.contains(checkpointId)) {
// message is for an unknown checkpoint, or comes too late (checkpoint disposed)
LOG.debug("Received another decline message for now expired checkpoint attempt {} of job {} : {}",
checkpointId, job, reason);
} else {
// message is for an unknown checkpoint. might be so old that we don't even remember it any more
LOG.debug("Received decline message for unknown (too old?) checkpoint attempt {} of job {} : {}",
checkpointId, job, reason);
}
}
}
} | java | public void receiveDeclineMessage(DeclineCheckpoint message) {
if (shutdown || message == null) {
return;
}
if (!job.equals(message.getJob())) {
throw new IllegalArgumentException("Received DeclineCheckpoint message for job " +
message.getJob() + " while this coordinator handles job " + job);
}
final long checkpointId = message.getCheckpointId();
final String reason = (message.getReason() != null ? message.getReason().getMessage() : "");
PendingCheckpoint checkpoint;
synchronized (lock) {
// we need to check inside the lock for being shutdown as well, otherwise we
// get races and invalid error log messages
if (shutdown) {
return;
}
checkpoint = pendingCheckpoints.remove(checkpointId);
if (checkpoint != null && !checkpoint.isDiscarded()) {
LOG.info("Decline checkpoint {} by task {} of job {}.", checkpointId, message.getTaskExecutionId(), job);
discardCheckpoint(checkpoint, message.getReason());
}
else if (checkpoint != null) {
// this should not happen
throw new IllegalStateException(
"Received message for discarded but non-removed checkpoint " + checkpointId);
}
else if (LOG.isDebugEnabled()) {
if (recentPendingCheckpoints.contains(checkpointId)) {
// message is for an unknown checkpoint, or comes too late (checkpoint disposed)
LOG.debug("Received another decline message for now expired checkpoint attempt {} of job {} : {}",
checkpointId, job, reason);
} else {
// message is for an unknown checkpoint. might be so old that we don't even remember it any more
LOG.debug("Received decline message for unknown (too old?) checkpoint attempt {} of job {} : {}",
checkpointId, job, reason);
}
}
}
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/Assert.java | Assert.notContain | public static String notContain(String textToSearch, String substring) throws IllegalArgumentException {
return notContain(textToSearch, substring, "[Assertion failed] - this String argument must not contain the substring [{}]", substring);
} | java | public static String notContain(String textToSearch, String substring) throws IllegalArgumentException {
return notContain(textToSearch, substring, "[Assertion failed] - this String argument must not contain the substring [{}]", substring);
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<pre class="code">
Assert.doesNotContain(name, "rod", "Name must not contain 'rod'");
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apache/flink | flink-core/src/main/java/org/apache/flink/api/common/operators/ResourceSpec.java | ResourceSpec.lessThanOrEqual | public boolean lessThanOrEqual(@Nonnull ResourceSpec other) {
int cmp1 = Double.compare(this.cpuCores, other.cpuCores);
int cmp2 = Integer.compare(this.heapMemoryInMB, other.heapMemoryInMB);
int cmp3 = Integer.compare(this.directMemoryInMB, other.directMemoryInMB);
int cmp4 = Integer.compare(this.nativeMemoryInMB, other.nativeMemoryInMB);
int cmp5 = Integer.compare(this.stateSizeInMB, other.stateSizeInMB);
if (cmp1 <= 0 && cmp2 <= 0 && cmp3 <= 0 && cmp4 <= 0 && cmp5 <= 0) {
for (Resource resource : extendedResources.values()) {
if (!other.extendedResources.containsKey(resource.getName()) ||
other.extendedResources.get(resource.getName()).getResourceAggregateType() != resource.getResourceAggregateType() ||
other.extendedResources.get(resource.getName()).getValue() < resource.getValue()) {
return false;
}
}
return true;
}
return false;
} | java | public boolean lessThanOrEqual(@Nonnull ResourceSpec other) {
int cmp1 = Double.compare(this.cpuCores, other.cpuCores);
int cmp2 = Integer.compare(this.heapMemoryInMB, other.heapMemoryInMB);
int cmp3 = Integer.compare(this.directMemoryInMB, other.directMemoryInMB);
int cmp4 = Integer.compare(this.nativeMemoryInMB, other.nativeMemoryInMB);
int cmp5 = Integer.compare(this.stateSizeInMB, other.stateSizeInMB);
if (cmp1 <= 0 && cmp2 <= 0 && cmp3 <= 0 && cmp4 <= 0 && cmp5 <= 0) {
for (Resource resource : extendedResources.values()) {
if (!other.extendedResources.containsKey(resource.getName()) ||
other.extendedResources.get(resource.getName()).getResourceAggregateType() != resource.getResourceAggregateType() ||
other.extendedResources.get(resource.getName()).getValue() < resource.getValue()) {
return false;
}
}
return true;
}
return false;
} | [
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java | ArrayUtil.removeNull | public static <T> T[] removeNull(T[] array) {
return filter(array, new Editor<T>() {
@Override
public T edit(T t) {
// 返回null便不加入集合
return t;
}
});
} | java | public static <T> T[] removeNull(T[] array) {
return filter(array, new Editor<T>() {
@Override
public T edit(T t) {
// 返回null便不加入集合
return t;
}
});
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@param array 数组
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apache/flink | flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java | TypeExtractor.getBinaryOperatorReturnType | @SuppressWarnings("unchecked")
@PublicEvolving
public static <IN1, IN2, OUT> TypeInformation<OUT> getBinaryOperatorReturnType(
Function function,
Class<?> baseClass,
int input1TypeArgumentIndex,
int input2TypeArgumentIndex,
int outputTypeArgumentIndex,
int[] lambdaOutputTypeArgumentIndices,
TypeInformation<IN1> in1Type,
TypeInformation<IN2> in2Type,
String functionName,
boolean allowMissing) {
Preconditions.checkArgument(in1Type == null || input1TypeArgumentIndex >= 0, "Input 1 type argument index was not provided");
Preconditions.checkArgument(in2Type == null || input2TypeArgumentIndex >= 0, "Input 2 type argument index was not provided");
Preconditions.checkArgument(outputTypeArgumentIndex >= 0, "Output type argument index was not provided");
Preconditions.checkArgument(
lambdaOutputTypeArgumentIndices != null,
"Indices for output type arguments within lambda not provided");
// explicit result type has highest precedence
if (function instanceof ResultTypeQueryable) {
return ((ResultTypeQueryable<OUT>) function).getProducedType();
}
// perform extraction
try {
final LambdaExecutable exec;
try {
exec = checkAndExtractLambda(function);
} catch (TypeExtractionException e) {
throw new InvalidTypesException("Internal error occurred.", e);
}
if (exec != null) {
final Method sam = TypeExtractionUtils.getSingleAbstractMethod(baseClass);
final int baseParametersLen = sam.getParameterTypes().length;
// parameters must be accessed from behind, since JVM can add additional parameters e.g. when using local variables inside lambda function
final int paramLen = exec.getParameterTypes().length;
final Type output;
if (lambdaOutputTypeArgumentIndices.length > 0) {
output = TypeExtractionUtils.extractTypeFromLambda(
baseClass,
exec,
lambdaOutputTypeArgumentIndices,
paramLen,
baseParametersLen);
} else {
output = exec.getReturnType();
TypeExtractionUtils.validateLambdaType(baseClass, output);
}
return new TypeExtractor().privateCreateTypeInfo(
output,
in1Type,
in2Type);
}
else {
if (in1Type != null) {
validateInputType(baseClass, function.getClass(), input1TypeArgumentIndex, in1Type);
}
if (in2Type != null) {
validateInputType(baseClass, function.getClass(), input2TypeArgumentIndex, in2Type);
}
return new TypeExtractor().privateCreateTypeInfo(baseClass, function.getClass(), outputTypeArgumentIndex, in1Type, in2Type);
}
}
catch (InvalidTypesException e) {
if (allowMissing) {
return (TypeInformation<OUT>) new MissingTypeInfo(functionName != null ? functionName : function.toString(), e);
} else {
throw e;
}
}
} | java | @SuppressWarnings("unchecked")
@PublicEvolving
public static <IN1, IN2, OUT> TypeInformation<OUT> getBinaryOperatorReturnType(
Function function,
Class<?> baseClass,
int input1TypeArgumentIndex,
int input2TypeArgumentIndex,
int outputTypeArgumentIndex,
int[] lambdaOutputTypeArgumentIndices,
TypeInformation<IN1> in1Type,
TypeInformation<IN2> in2Type,
String functionName,
boolean allowMissing) {
Preconditions.checkArgument(in1Type == null || input1TypeArgumentIndex >= 0, "Input 1 type argument index was not provided");
Preconditions.checkArgument(in2Type == null || input2TypeArgumentIndex >= 0, "Input 2 type argument index was not provided");
Preconditions.checkArgument(outputTypeArgumentIndex >= 0, "Output type argument index was not provided");
Preconditions.checkArgument(
lambdaOutputTypeArgumentIndices != null,
"Indices for output type arguments within lambda not provided");
// explicit result type has highest precedence
if (function instanceof ResultTypeQueryable) {
return ((ResultTypeQueryable<OUT>) function).getProducedType();
}
// perform extraction
try {
final LambdaExecutable exec;
try {
exec = checkAndExtractLambda(function);
} catch (TypeExtractionException e) {
throw new InvalidTypesException("Internal error occurred.", e);
}
if (exec != null) {
final Method sam = TypeExtractionUtils.getSingleAbstractMethod(baseClass);
final int baseParametersLen = sam.getParameterTypes().length;
// parameters must be accessed from behind, since JVM can add additional parameters e.g. when using local variables inside lambda function
final int paramLen = exec.getParameterTypes().length;
final Type output;
if (lambdaOutputTypeArgumentIndices.length > 0) {
output = TypeExtractionUtils.extractTypeFromLambda(
baseClass,
exec,
lambdaOutputTypeArgumentIndices,
paramLen,
baseParametersLen);
} else {
output = exec.getReturnType();
TypeExtractionUtils.validateLambdaType(baseClass, output);
}
return new TypeExtractor().privateCreateTypeInfo(
output,
in1Type,
in2Type);
}
else {
if (in1Type != null) {
validateInputType(baseClass, function.getClass(), input1TypeArgumentIndex, in1Type);
}
if (in2Type != null) {
validateInputType(baseClass, function.getClass(), input2TypeArgumentIndex, in2Type);
}
return new TypeExtractor().privateCreateTypeInfo(baseClass, function.getClass(), outputTypeArgumentIndex, in1Type, in2Type);
}
}
catch (InvalidTypesException e) {
if (allowMissing) {
return (TypeInformation<OUT>) new MissingTypeInfo(functionName != null ? functionName : function.toString(), e);
} else {
throw e;
}
}
} | [
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">",... | Returns the binary operator's return type.
<p>This method can extract a type in 4 different ways:
<p>1. By using the generics of the base class like MyFunction<X, Y, Z, IN, OUT>.
This is what outputTypeArgumentIndex (in this example "4") is good for.
<p>2. By using input type inference SubMyFunction<T, String, String, String, T>.
This is what inputTypeArgumentIndex (in this example "0") and inType is good for.
<p>3. By using the static method that a compiler generates for Java lambdas.
This is what lambdaOutputTypeArgumentIndices is good for. Given that MyFunction has
the following single abstract method:
<pre>
<code>
void apply(IN value, Collector<OUT> value)
</code>
</pre>
<p> Lambda type indices allow the extraction of a type from lambdas. To extract the
output type <b>OUT</b> from the function one should pass {@code new int[] {1, 0}}.
"1" for selecting the parameter and 0 for the first generic in this type.
Use {@code TypeExtractor.NO_INDEX} for selecting the return type of the lambda for
extraction or if the class cannot be a lambda because it is not a single abstract
method interface.
<p>4. By using interfaces such as {@link TypeInfoFactory} or {@link ResultTypeQueryable}.
<p>See also comments in the header of this class.
@param function Function to extract the return type from
@param baseClass Base class of the function
@param input1TypeArgumentIndex Index of first input generic type in the class specification (ignored if in1Type is null)
@param input2TypeArgumentIndex Index of second input generic type in the class specification (ignored if in2Type is null)
@param outputTypeArgumentIndex Index of output generic type in the class specification
@param lambdaOutputTypeArgumentIndices Table of indices of the type argument specifying the output type. See example.
@param in1Type Type of the left side input elements (In case of an iterable, it is the element type)
@param in2Type Type of the right side input elements (In case of an iterable, it is the element type)
@param functionName Function name
@param allowMissing Can the type information be missing (this generates a MissingTypeInfo for postponing an exception)
@param <IN1> Left side input type
@param <IN2> Right side input type
@param <OUT> Output type
@return TypeInformation of the return type of the function | [
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"."
] | b62db93bf63cb3bb34dd03d611a779d9e3fc61ac | https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java#L646-L723 | train | Gets the binary operator return type. | [
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/collection/dartsclone/DartMap.java | DartMap.commonPrefixSearch | public ArrayList<Pair<String, V>> commonPrefixSearch(String key, int offset, int maxResults)
{
byte[] keyBytes = key.getBytes(utf8);
List<Pair<Integer, Integer>> pairList = commonPrefixSearch(keyBytes, offset, maxResults);
ArrayList<Pair<String, V>> resultList = new ArrayList<Pair<String, V>>(pairList.size());
for (Pair<Integer, Integer> pair : pairList)
{
resultList.add(new Pair<String, V>(new String(keyBytes, 0, pair.first), valueArray[pair.second]));
}
return resultList;
} | java | public ArrayList<Pair<String, V>> commonPrefixSearch(String key, int offset, int maxResults)
{
byte[] keyBytes = key.getBytes(utf8);
List<Pair<Integer, Integer>> pairList = commonPrefixSearch(keyBytes, offset, maxResults);
ArrayList<Pair<String, V>> resultList = new ArrayList<Pair<String, V>>(pairList.size());
for (Pair<Integer, Integer> pair : pairList)
{
resultList.add(new Pair<String, V>(new String(keyBytes, 0, pair.first), valueArray[pair.second]));
}
return resultList;
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... | 前缀查询
@param key
@param offset
@param maxResults
@return | [
"前缀查询"
] | a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce | https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/dartsclone/DartMap.java#L140-L150 | train | Common prefix search. | [
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