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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java
|
NeuralNetworkParser.get_features
|
void get_features(final State s,
final List<Integer> cluster4,
final List<Integer> cluster6,
final List<Integer> cluster,
List<Integer> features)
{
Context ctx = new Context();
get_context(s, ctx);
get_basic_features(ctx, s.ref.forms, s.ref.postags, s.deprels, features);
get_distance_features(ctx, features);
get_valency_features(ctx, s.nr_left_children, s.nr_right_children, features);
get_cluster_features(ctx, cluster4, cluster6, cluster, features);
}
|
java
|
void get_features(final State s,
final List<Integer> cluster4,
final List<Integer> cluster6,
final List<Integer> cluster,
List<Integer> features)
{
Context ctx = new Context();
get_context(s, ctx);
get_basic_features(ctx, s.ref.forms, s.ref.postags, s.deprels, features);
get_distance_features(ctx, features);
get_valency_features(ctx, s.nr_left_children, s.nr_right_children, features);
get_cluster_features(ctx, cluster4, cluster6, cluster, features);
}
|
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生成特征
@param s 当前状态
@param cluster4
@param cluster6
@param cluster
@param features 输出特征
|
[
"生成特征"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java#L608-L620
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train
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Get the features from a state.
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30526
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apache/flink
|
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java
|
Pattern.until
|
public Pattern<T, F> until(IterativeCondition<F> untilCondition) {
Preconditions.checkNotNull(untilCondition, "The condition cannot be null");
if (this.untilCondition != null) {
throw new MalformedPatternException("Only one until condition can be applied.");
}
if (!quantifier.hasProperty(Quantifier.QuantifierProperty.LOOPING)) {
throw new MalformedPatternException("The until condition is only applicable to looping states.");
}
ClosureCleaner.clean(untilCondition, true);
this.untilCondition = untilCondition;
return this;
}
|
java
|
public Pattern<T, F> until(IterativeCondition<F> untilCondition) {
Preconditions.checkNotNull(untilCondition, "The condition cannot be null");
if (this.untilCondition != null) {
throw new MalformedPatternException("Only one until condition can be applied.");
}
if (!quantifier.hasProperty(Quantifier.QuantifierProperty.LOOPING)) {
throw new MalformedPatternException("The until condition is only applicable to looping states.");
}
ClosureCleaner.clean(untilCondition, true);
this.untilCondition = untilCondition;
return this;
}
|
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Applies a stop condition for a looping state. It allows cleaning the underlying state.
@param untilCondition a condition an event has to satisfy to stop collecting events into looping state
@return The same pattern with applied untilCondition
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java#L219-L234
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train
|
Sets the until condition.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/InstantiationUtil.java
|
InstantiationUtil.resolveClassByName
|
public static <T> Class<T> resolveClassByName(
DataInputView in,
ClassLoader cl) throws IOException {
return resolveClassByName(in, cl, Object.class);
}
|
java
|
public static <T> Class<T> resolveClassByName(
DataInputView in,
ClassLoader cl) throws IOException {
return resolveClassByName(in, cl, Object.class);
}
|
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Loads a class by name from the given input stream and reflectively instantiates it.
<p>This method will use {@link DataInputView#readUTF()} to read the class name, and
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@param in The stream to read the class name from.
@param cl The class loader to resolve the class.
@throws IOException Thrown, if the class name could not be read, the class could not be found.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/InstantiationUtil.java#L678-L682
|
train
|
Resolves a class by name using the specified class loader.
|
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apache/flink
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flink-table/flink-table-common/src/main/java/org/apache/flink/table/functions/UserDefinedFunction.java
|
UserDefinedFunction.functionIdentifier
|
public final String functionIdentifier() {
final String md5 = EncodingUtils.hex(EncodingUtils.md5(EncodingUtils.encodeObjectToString(this)));
return getClass().getCanonicalName().replace('.', '$').concat("$").concat(md5);
}
|
java
|
public final String functionIdentifier() {
final String md5 = EncodingUtils.hex(EncodingUtils.md5(EncodingUtils.encodeObjectToString(this)));
return getClass().getCanonicalName().replace('.', '$').concat("$").concat(md5);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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|
train
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Returns the function identifier.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlFunctionUtils.java
|
SqlFunctionUtils.splitIndex
|
public static String splitIndex(String str, int character, int index) {
if (character > 255 || character < 1 || index < 0) {
return null;
}
String[] values = StringUtils.splitPreserveAllTokens(str, (char) character);
if (index >= values.length) {
return null;
} else {
return values[index];
}
}
|
java
|
public static String splitIndex(String str, int character, int index) {
if (character > 255 || character < 1 || index < 0) {
return null;
}
String[] values = StringUtils.splitPreserveAllTokens(str, (char) character);
if (index >= values.length) {
return null;
} else {
return values[index];
}
}
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlFunctionUtils.java#L330-L340
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train
|
Splits the string into the specified character and returns the index of the first occurrence of the character.
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apache/flink
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flink-table/flink-table-common/src/main/java/org/apache/flink/table/sinks/TableSinkBase.java
|
TableSinkBase.configure
|
public final TableSink<T> configure(String[] fieldNames, TypeInformation<?>[] fieldTypes) {
final TableSinkBase<T> configuredSink = this.copy();
configuredSink.fieldNames = Optional.of(fieldNames);
configuredSink.fieldTypes = Optional.of(fieldTypes);
return configuredSink;
}
|
java
|
public final TableSink<T> configure(String[] fieldNames, TypeInformation<?>[] fieldTypes) {
final TableSinkBase<T> configuredSink = this.copy();
configuredSink.fieldNames = Optional.of(fieldNames);
configuredSink.fieldTypes = Optional.of(fieldTypes);
return configuredSink;
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/sinks/TableSinkBase.java#L75-L82
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train
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Configure the sink to use the given field names and field types.
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netty/netty
|
common/src/main/java/io/netty/util/concurrent/AbstractScheduledEventExecutor.java
|
AbstractScheduledEventExecutor.nextScheduledTaskNano
|
protected final long nextScheduledTaskNano() {
Queue<ScheduledFutureTask<?>> scheduledTaskQueue = this.scheduledTaskQueue;
ScheduledFutureTask<?> scheduledTask = scheduledTaskQueue == null ? null : scheduledTaskQueue.peek();
if (scheduledTask == null) {
return -1;
}
return Math.max(0, scheduledTask.deadlineNanos() - nanoTime());
}
|
java
|
protected final long nextScheduledTaskNano() {
Queue<ScheduledFutureTask<?>> scheduledTaskQueue = this.scheduledTaskQueue;
ScheduledFutureTask<?> scheduledTask = scheduledTaskQueue == null ? null : scheduledTaskQueue.peek();
if (scheduledTask == null) {
return -1;
}
return Math.max(0, scheduledTask.deadlineNanos() - nanoTime());
}
|
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Return the nanoseconds when the next scheduled task is ready to be run or {@code -1} if no task is scheduled.
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/concurrent/AbstractScheduledEventExecutor.java#L120-L127
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train
|
Gets the number of nanoseconds that the next scheduled task has.
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apache/flink
|
flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08Fetcher.java
|
Kafka08Fetcher.runFetchLoop
|
@Override
public void runFetchLoop() throws Exception {
// the map from broker to the thread that is connected to that broker
final Map<Node, SimpleConsumerThread<T>> brokerToThread = new HashMap<>();
// this holds possible the exceptions from the concurrent broker connection threads
final ExceptionProxy errorHandler = new ExceptionProxy(Thread.currentThread());
// the offset handler handles the communication with ZooKeeper, to commit externally visible offsets
final ZookeeperOffsetHandler zookeeperOffsetHandler = new ZookeeperOffsetHandler(kafkaConfig);
this.zookeeperOffsetHandler = zookeeperOffsetHandler;
PeriodicOffsetCommitter periodicCommitter = null;
try {
// offsets in the state may still be placeholder sentinel values if we are starting fresh, or the
// checkpoint / savepoint state we were restored with had not completely been replaced with actual offset
// values yet; replace those with actual offsets, according to what the sentinel value represent.
for (KafkaTopicPartitionState<TopicAndPartition> partition : subscribedPartitionStates()) {
if (partition.getOffset() == KafkaTopicPartitionStateSentinel.EARLIEST_OFFSET) {
// this will be replaced by an actual offset in SimpleConsumerThread
partition.setOffset(OffsetRequest.EarliestTime());
} else if (partition.getOffset() == KafkaTopicPartitionStateSentinel.LATEST_OFFSET) {
// this will be replaced by an actual offset in SimpleConsumerThread
partition.setOffset(OffsetRequest.LatestTime());
} else if (partition.getOffset() == KafkaTopicPartitionStateSentinel.GROUP_OFFSET) {
Long committedOffset = zookeeperOffsetHandler.getCommittedOffset(partition.getKafkaTopicPartition());
if (committedOffset != null) {
// the committed offset in ZK represents the next record to process,
// so we subtract it by 1 to correctly represent internal state
partition.setOffset(committedOffset - 1);
} else {
// if we can't find an offset for a partition in ZK when using GROUP_OFFSETS,
// we default to "auto.offset.reset" like the Kafka high-level consumer
LOG.warn("No group offset can be found for partition {} in Zookeeper;" +
" resetting starting offset to 'auto.offset.reset'", partition);
partition.setOffset(invalidOffsetBehavior);
}
} else {
// the partition already has a specific start offset and is ready to be consumed
}
}
// start the periodic offset committer thread, if necessary
if (autoCommitInterval > 0) {
LOG.info("Starting periodic offset committer, with commit interval of {}ms", autoCommitInterval);
periodicCommitter = new PeriodicOffsetCommitter(
zookeeperOffsetHandler,
subscribedPartitionStates(),
errorHandler,
autoCommitInterval);
periodicCommitter.setName("Periodic Kafka partition offset committer");
periodicCommitter.setDaemon(true);
periodicCommitter.start();
}
// Main loop polling elements from the unassignedPartitions queue to the threads
while (running) {
// re-throw any exception from the concurrent fetcher threads
errorHandler.checkAndThrowException();
// wait for max 5 seconds trying to get partitions to assign
// if threads shut down, this poll returns earlier, because the threads inject the
// special marker into the queue
List<KafkaTopicPartitionState<TopicAndPartition>> partitionsToAssign =
unassignedPartitionsQueue.getBatchBlocking(5000);
// note: if there are more markers, remove them all
partitionsToAssign.removeIf(MARKER::equals);
if (!partitionsToAssign.isEmpty()) {
LOG.info("Assigning {} partitions to broker threads", partitionsToAssign.size());
Map<Node, List<KafkaTopicPartitionState<TopicAndPartition>>> partitionsWithLeaders =
findLeaderForPartitions(partitionsToAssign, kafkaConfig);
// assign the partitions to the leaders (maybe start the threads)
for (Map.Entry<Node, List<KafkaTopicPartitionState<TopicAndPartition>>> partitionsWithLeader :
partitionsWithLeaders.entrySet()) {
final Node leader = partitionsWithLeader.getKey();
final List<KafkaTopicPartitionState<TopicAndPartition>> partitions = partitionsWithLeader.getValue();
SimpleConsumerThread<T> brokerThread = brokerToThread.get(leader);
if (!running) {
break;
}
if (brokerThread == null || !brokerThread.getNewPartitionsQueue().isOpen()) {
// start new thread
brokerThread = createAndStartSimpleConsumerThread(partitions, leader, errorHandler);
brokerToThread.put(leader, brokerThread);
}
else {
// put elements into queue of thread
ClosableBlockingQueue<KafkaTopicPartitionState<TopicAndPartition>> newPartitionsQueue =
brokerThread.getNewPartitionsQueue();
for (KafkaTopicPartitionState<TopicAndPartition> fp : partitions) {
if (!newPartitionsQueue.addIfOpen(fp)) {
// we were unable to add the partition to the broker's queue
// the broker has closed in the meantime (the thread will shut down)
// create a new thread for connecting to this broker
List<KafkaTopicPartitionState<TopicAndPartition>> seedPartitions = new ArrayList<>();
seedPartitions.add(fp);
brokerThread = createAndStartSimpleConsumerThread(seedPartitions, leader, errorHandler);
brokerToThread.put(leader, brokerThread);
newPartitionsQueue = brokerThread.getNewPartitionsQueue(); // update queue for the subsequent partitions
}
}
}
}
}
else {
// there were no partitions to assign. Check if any broker threads shut down.
// we get into this section of the code, if either the poll timed out, or the
// blocking poll was woken up by the marker element
Iterator<SimpleConsumerThread<T>> bttIterator = brokerToThread.values().iterator();
while (bttIterator.hasNext()) {
SimpleConsumerThread<T> thread = bttIterator.next();
if (!thread.getNewPartitionsQueue().isOpen()) {
LOG.info("Removing stopped consumer thread {}", thread.getName());
bttIterator.remove();
}
}
}
if (brokerToThread.size() == 0 && unassignedPartitionsQueue.isEmpty()) {
if (unassignedPartitionsQueue.close()) {
LOG.info("All consumer threads are finished, there are no more unassigned partitions. Stopping fetcher");
break;
}
// we end up here if somebody added something to the queue in the meantime --> continue to poll queue again
}
}
}
catch (InterruptedException e) {
// this may be thrown because an exception on one of the concurrent fetcher threads
// woke this thread up. make sure we throw the root exception instead in that case
errorHandler.checkAndThrowException();
// no other root exception, throw the interrupted exception
throw e;
}
finally {
this.running = false;
this.zookeeperOffsetHandler = null;
// if we run a periodic committer thread, shut that down
if (periodicCommitter != null) {
periodicCommitter.shutdown();
}
// clear the interruption flag
// this allows the joining on consumer threads (on best effort) to happen in
// case the initial interrupt already
Thread.interrupted();
// make sure that in any case (completion, abort, error), all spawned threads are stopped
try {
int runningThreads;
do {
// check whether threads are alive and cancel them
runningThreads = 0;
Iterator<SimpleConsumerThread<T>> threads = brokerToThread.values().iterator();
while (threads.hasNext()) {
SimpleConsumerThread<?> t = threads.next();
if (t.isAlive()) {
t.cancel();
runningThreads++;
} else {
threads.remove();
}
}
// wait for the threads to finish, before issuing a cancel call again
if (runningThreads > 0) {
for (SimpleConsumerThread<?> t : brokerToThread.values()) {
t.join(500 / runningThreads + 1);
}
}
}
while (runningThreads > 0);
}
catch (InterruptedException ignored) {
// waiting for the thread shutdown apparently got interrupted
// restore interrupted state and continue
Thread.currentThread().interrupt();
}
catch (Throwable t) {
// we catch all here to preserve the original exception
LOG.error("Exception while shutting down consumer threads", t);
}
try {
zookeeperOffsetHandler.close();
}
catch (Throwable t) {
// we catch all here to preserve the original exception
LOG.error("Exception while shutting down ZookeeperOffsetHandler", t);
}
}
}
|
java
|
@Override
public void runFetchLoop() throws Exception {
// the map from broker to the thread that is connected to that broker
final Map<Node, SimpleConsumerThread<T>> brokerToThread = new HashMap<>();
// this holds possible the exceptions from the concurrent broker connection threads
final ExceptionProxy errorHandler = new ExceptionProxy(Thread.currentThread());
// the offset handler handles the communication with ZooKeeper, to commit externally visible offsets
final ZookeeperOffsetHandler zookeeperOffsetHandler = new ZookeeperOffsetHandler(kafkaConfig);
this.zookeeperOffsetHandler = zookeeperOffsetHandler;
PeriodicOffsetCommitter periodicCommitter = null;
try {
// offsets in the state may still be placeholder sentinel values if we are starting fresh, or the
// checkpoint / savepoint state we were restored with had not completely been replaced with actual offset
// values yet; replace those with actual offsets, according to what the sentinel value represent.
for (KafkaTopicPartitionState<TopicAndPartition> partition : subscribedPartitionStates()) {
if (partition.getOffset() == KafkaTopicPartitionStateSentinel.EARLIEST_OFFSET) {
// this will be replaced by an actual offset in SimpleConsumerThread
partition.setOffset(OffsetRequest.EarliestTime());
} else if (partition.getOffset() == KafkaTopicPartitionStateSentinel.LATEST_OFFSET) {
// this will be replaced by an actual offset in SimpleConsumerThread
partition.setOffset(OffsetRequest.LatestTime());
} else if (partition.getOffset() == KafkaTopicPartitionStateSentinel.GROUP_OFFSET) {
Long committedOffset = zookeeperOffsetHandler.getCommittedOffset(partition.getKafkaTopicPartition());
if (committedOffset != null) {
// the committed offset in ZK represents the next record to process,
// so we subtract it by 1 to correctly represent internal state
partition.setOffset(committedOffset - 1);
} else {
// if we can't find an offset for a partition in ZK when using GROUP_OFFSETS,
// we default to "auto.offset.reset" like the Kafka high-level consumer
LOG.warn("No group offset can be found for partition {} in Zookeeper;" +
" resetting starting offset to 'auto.offset.reset'", partition);
partition.setOffset(invalidOffsetBehavior);
}
} else {
// the partition already has a specific start offset and is ready to be consumed
}
}
// start the periodic offset committer thread, if necessary
if (autoCommitInterval > 0) {
LOG.info("Starting periodic offset committer, with commit interval of {}ms", autoCommitInterval);
periodicCommitter = new PeriodicOffsetCommitter(
zookeeperOffsetHandler,
subscribedPartitionStates(),
errorHandler,
autoCommitInterval);
periodicCommitter.setName("Periodic Kafka partition offset committer");
periodicCommitter.setDaemon(true);
periodicCommitter.start();
}
// Main loop polling elements from the unassignedPartitions queue to the threads
while (running) {
// re-throw any exception from the concurrent fetcher threads
errorHandler.checkAndThrowException();
// wait for max 5 seconds trying to get partitions to assign
// if threads shut down, this poll returns earlier, because the threads inject the
// special marker into the queue
List<KafkaTopicPartitionState<TopicAndPartition>> partitionsToAssign =
unassignedPartitionsQueue.getBatchBlocking(5000);
// note: if there are more markers, remove them all
partitionsToAssign.removeIf(MARKER::equals);
if (!partitionsToAssign.isEmpty()) {
LOG.info("Assigning {} partitions to broker threads", partitionsToAssign.size());
Map<Node, List<KafkaTopicPartitionState<TopicAndPartition>>> partitionsWithLeaders =
findLeaderForPartitions(partitionsToAssign, kafkaConfig);
// assign the partitions to the leaders (maybe start the threads)
for (Map.Entry<Node, List<KafkaTopicPartitionState<TopicAndPartition>>> partitionsWithLeader :
partitionsWithLeaders.entrySet()) {
final Node leader = partitionsWithLeader.getKey();
final List<KafkaTopicPartitionState<TopicAndPartition>> partitions = partitionsWithLeader.getValue();
SimpleConsumerThread<T> brokerThread = brokerToThread.get(leader);
if (!running) {
break;
}
if (brokerThread == null || !brokerThread.getNewPartitionsQueue().isOpen()) {
// start new thread
brokerThread = createAndStartSimpleConsumerThread(partitions, leader, errorHandler);
brokerToThread.put(leader, brokerThread);
}
else {
// put elements into queue of thread
ClosableBlockingQueue<KafkaTopicPartitionState<TopicAndPartition>> newPartitionsQueue =
brokerThread.getNewPartitionsQueue();
for (KafkaTopicPartitionState<TopicAndPartition> fp : partitions) {
if (!newPartitionsQueue.addIfOpen(fp)) {
// we were unable to add the partition to the broker's queue
// the broker has closed in the meantime (the thread will shut down)
// create a new thread for connecting to this broker
List<KafkaTopicPartitionState<TopicAndPartition>> seedPartitions = new ArrayList<>();
seedPartitions.add(fp);
brokerThread = createAndStartSimpleConsumerThread(seedPartitions, leader, errorHandler);
brokerToThread.put(leader, brokerThread);
newPartitionsQueue = brokerThread.getNewPartitionsQueue(); // update queue for the subsequent partitions
}
}
}
}
}
else {
// there were no partitions to assign. Check if any broker threads shut down.
// we get into this section of the code, if either the poll timed out, or the
// blocking poll was woken up by the marker element
Iterator<SimpleConsumerThread<T>> bttIterator = brokerToThread.values().iterator();
while (bttIterator.hasNext()) {
SimpleConsumerThread<T> thread = bttIterator.next();
if (!thread.getNewPartitionsQueue().isOpen()) {
LOG.info("Removing stopped consumer thread {}", thread.getName());
bttIterator.remove();
}
}
}
if (brokerToThread.size() == 0 && unassignedPartitionsQueue.isEmpty()) {
if (unassignedPartitionsQueue.close()) {
LOG.info("All consumer threads are finished, there are no more unassigned partitions. Stopping fetcher");
break;
}
// we end up here if somebody added something to the queue in the meantime --> continue to poll queue again
}
}
}
catch (InterruptedException e) {
// this may be thrown because an exception on one of the concurrent fetcher threads
// woke this thread up. make sure we throw the root exception instead in that case
errorHandler.checkAndThrowException();
// no other root exception, throw the interrupted exception
throw e;
}
finally {
this.running = false;
this.zookeeperOffsetHandler = null;
// if we run a periodic committer thread, shut that down
if (periodicCommitter != null) {
periodicCommitter.shutdown();
}
// clear the interruption flag
// this allows the joining on consumer threads (on best effort) to happen in
// case the initial interrupt already
Thread.interrupted();
// make sure that in any case (completion, abort, error), all spawned threads are stopped
try {
int runningThreads;
do {
// check whether threads are alive and cancel them
runningThreads = 0;
Iterator<SimpleConsumerThread<T>> threads = brokerToThread.values().iterator();
while (threads.hasNext()) {
SimpleConsumerThread<?> t = threads.next();
if (t.isAlive()) {
t.cancel();
runningThreads++;
} else {
threads.remove();
}
}
// wait for the threads to finish, before issuing a cancel call again
if (runningThreads > 0) {
for (SimpleConsumerThread<?> t : brokerToThread.values()) {
t.join(500 / runningThreads + 1);
}
}
}
while (runningThreads > 0);
}
catch (InterruptedException ignored) {
// waiting for the thread shutdown apparently got interrupted
// restore interrupted state and continue
Thread.currentThread().interrupt();
}
catch (Throwable t) {
// we catch all here to preserve the original exception
LOG.error("Exception while shutting down consumer threads", t);
}
try {
zookeeperOffsetHandler.close();
}
catch (Throwable t) {
// we catch all here to preserve the original exception
LOG.error("Exception while shutting down ZookeeperOffsetHandler", t);
}
}
}
|
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] |
------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08Fetcher.java#L124-L325
|
train
|
Run the fetch loop.
|
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/SQLOperation.java
|
SQLOperation.prepare
|
public void prepare(HiveConf sqlOperationConf) throws HiveSQLException {
setState(OperationState.RUNNING);
try {
driver = new Driver(sqlOperationConf, getParentSession().getUserName());
// set the operation handle information in Driver, so that thrift API users
// can use the operation handle they receive, to lookup query information in
// Yarn ATS
String guid64 = Base64.encodeBase64URLSafeString(getHandle().getHandleIdentifier()
.toTHandleIdentifier().getGuid()).trim();
driver.setOperationId(guid64);
// In Hive server mode, we are not able to retry in the FetchTask
// case, when calling fetch queries since execute() has returned.
// For now, we disable the test attempts.
driver.setTryCount(Integer.MAX_VALUE);
String subStatement = new VariableSubstitution().substitute(sqlOperationConf, statement);
response = driver.compileAndRespond(subStatement);
if (0 != response.getResponseCode()) {
throw toSQLException("Error while compiling statement", response);
}
mResultSchema = driver.getSchema();
// hasResultSet should be true only if the query has a FetchTask
// "explain" is an exception for now
if(driver.getPlan().getFetchTask() != null) {
//Schema has to be set
if (mResultSchema == null || !mResultSchema.isSetFieldSchemas()) {
throw new HiveSQLException("Error compiling query: Schema and FieldSchema " +
"should be set when query plan has a FetchTask");
}
resultSchema = new TableSchema(mResultSchema);
setHasResultSet(true);
} else {
setHasResultSet(false);
}
// Set hasResultSet true if the plan has ExplainTask
// TODO explain should use a FetchTask for reading
for (Task<? extends Serializable> task: driver.getPlan().getRootTasks()) {
if (task.getClass() == ExplainTask.class) {
resultSchema = new TableSchema(mResultSchema);
setHasResultSet(true);
break;
}
}
} catch (HiveSQLException e) {
setState(OperationState.ERROR);
throw e;
} catch (Exception e) {
setState(OperationState.ERROR);
throw new HiveSQLException("Error running query: " + e.toString(), e);
}
}
|
java
|
public void prepare(HiveConf sqlOperationConf) throws HiveSQLException {
setState(OperationState.RUNNING);
try {
driver = new Driver(sqlOperationConf, getParentSession().getUserName());
// set the operation handle information in Driver, so that thrift API users
// can use the operation handle they receive, to lookup query information in
// Yarn ATS
String guid64 = Base64.encodeBase64URLSafeString(getHandle().getHandleIdentifier()
.toTHandleIdentifier().getGuid()).trim();
driver.setOperationId(guid64);
// In Hive server mode, we are not able to retry in the FetchTask
// case, when calling fetch queries since execute() has returned.
// For now, we disable the test attempts.
driver.setTryCount(Integer.MAX_VALUE);
String subStatement = new VariableSubstitution().substitute(sqlOperationConf, statement);
response = driver.compileAndRespond(subStatement);
if (0 != response.getResponseCode()) {
throw toSQLException("Error while compiling statement", response);
}
mResultSchema = driver.getSchema();
// hasResultSet should be true only if the query has a FetchTask
// "explain" is an exception for now
if(driver.getPlan().getFetchTask() != null) {
//Schema has to be set
if (mResultSchema == null || !mResultSchema.isSetFieldSchemas()) {
throw new HiveSQLException("Error compiling query: Schema and FieldSchema " +
"should be set when query plan has a FetchTask");
}
resultSchema = new TableSchema(mResultSchema);
setHasResultSet(true);
} else {
setHasResultSet(false);
}
// Set hasResultSet true if the plan has ExplainTask
// TODO explain should use a FetchTask for reading
for (Task<? extends Serializable> task: driver.getPlan().getRootTasks()) {
if (task.getClass() == ExplainTask.class) {
resultSchema = new TableSchema(mResultSchema);
setHasResultSet(true);
break;
}
}
} catch (HiveSQLException e) {
setState(OperationState.ERROR);
throw e;
} catch (Exception e) {
setState(OperationState.ERROR);
throw new HiveSQLException("Error running query: " + e.toString(), e);
}
}
|
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] |
*
Compile the query and extract metadata
@param sqlOperationConf
@throws HiveSQLException
|
[
"*",
"Compile",
"the",
"query",
"and",
"extract",
"metadata"
] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/SQLOperation.java#L90-L145
|
train
|
Prepare the query.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/support/ui/ExpectedConditions.java
|
ExpectedConditions.visibilityOfAllElements
|
public static ExpectedCondition<List<WebElement>> visibilityOfAllElements(
final WebElement... elements) {
return visibilityOfAllElements(Arrays.asList(elements));
}
|
java
|
public static ExpectedCondition<List<WebElement>> visibilityOfAllElements(
final WebElement... elements) {
return visibilityOfAllElements(Arrays.asList(elements));
}
|
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An expectation for checking that all elements present on the web page that match the locator
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@param elements list of WebElements
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/support/ui/ExpectedConditions.java#L255-L258
|
train
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An expectation for checking that all elements in the array are visible.
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apache/flink
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flink-mesos/src/main/java/org/apache/flink/mesos/runtime/clusterframework/LaunchableMesosWorker.java
|
LaunchableMesosWorker.configureArtifactServer
|
static void configureArtifactServer(MesosArtifactServer server, ContainerSpecification container) throws IOException {
// serve the artifacts associated with the container environment
for (ContainerSpecification.Artifact artifact : container.getArtifacts()) {
server.addPath(artifact.source, artifact.dest);
}
}
|
java
|
static void configureArtifactServer(MesosArtifactServer server, ContainerSpecification container) throws IOException {
// serve the artifacts associated with the container environment
for (ContainerSpecification.Artifact artifact : container.getArtifacts()) {
server.addPath(artifact.source, artifact.dest);
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-mesos/src/main/java/org/apache/flink/mesos/runtime/clusterframework/LaunchableMesosWorker.java#L379-L384
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train
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Configure the artifact server.
|
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30526
] |
looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONUtil.java
|
JSONUtil.escape
|
public static String escape(String str) {
if (StrUtil.isEmpty(str)) {
return str;
}
final int len = str.length();
final StringBuilder builder = new StringBuilder(len);
char c;
for (int i = 0; i < len; i++) {
c = str.charAt(i);
builder.append(escape(c));
}
return builder.toString();
}
|
java
|
public static String escape(String str) {
if (StrUtil.isEmpty(str)) {
return str;
}
final int len = str.length();
final StringBuilder builder = new StringBuilder(len);
char c;
for (int i = 0; i < len; i++) {
c = str.charAt(i);
builder.append(escape(c));
}
return builder.toString();
}
|
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"return",
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")",
";",
"}"
] |
转义显示不可见字符
@param str 字符串
@return 转义后的字符串
|
[
"转义显示不可见字符"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONUtil.java#L543-L556
|
train
|
Escape a string.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/trie/datrie/IntArrayList.java
|
IntArrayList.loseWeight
|
public void loseWeight()
{
if (size == data.length)
{
return;
}
int[] newData = new int[size];
System.arraycopy(this.data, 0, newData, 0, size);
this.data = newData;
}
|
java
|
public void loseWeight()
{
if (size == data.length)
{
return;
}
int[] newData = new int[size];
System.arraycopy(this.data, 0, newData, 0, size);
this.data = newData;
}
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去掉多余的buffer
|
[
"去掉多余的buffer"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/trie/datrie/IntArrayList.java#L108-L117
|
train
|
This method is called to lose the weight of the record.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/HttpConnection.java
|
HttpConnection.header
|
public HttpConnection header(String header, String value, boolean isOverride) {
if (null != this.conn) {
if (isOverride) {
this.conn.setRequestProperty(header, value);
} else {
this.conn.addRequestProperty(header, value);
}
}
return this;
}
|
java
|
public HttpConnection header(String header, String value, boolean isOverride) {
if (null != this.conn) {
if (isOverride) {
this.conn.setRequestProperty(header, value);
} else {
this.conn.addRequestProperty(header, value);
}
}
return this;
}
|
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设置请求头<br>
当请求头存在时，覆盖之
@param header 头名
@param value 头值
@param isOverride 是否覆盖旧值
@return HttpConnection
|
[
"设置请求头<br",
">",
"当请求头存在时，覆盖之"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpConnection.java#L175-L185
|
train
|
Sets or overrides a request property.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/util/WrappingRuntimeException.java
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WrappingRuntimeException.unwrap
|
public Throwable unwrap() {
Throwable cause = getCause();
return (cause instanceof WrappingRuntimeException) ? ((WrappingRuntimeException) cause).unwrap() : cause;
}
|
java
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public Throwable unwrap() {
Throwable cause = getCause();
return (cause instanceof WrappingRuntimeException) ? ((WrappingRuntimeException) cause).unwrap() : cause;
}
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Recursively unwraps this WrappingRuntimeException and its causes, getting the first
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@return The first cause that is not a wrapping exception.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/WrappingRuntimeException.java#L50-L53
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train
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Unwraps the wrapped exception.
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netty/netty
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transport/src/main/java/io/netty/bootstrap/ServerBootstrap.java
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ServerBootstrap.childOption
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public <T> ServerBootstrap childOption(ChannelOption<T> childOption, T value) {
if (childOption == null) {
throw new NullPointerException("childOption");
}
if (value == null) {
synchronized (childOptions) {
childOptions.remove(childOption);
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} else {
synchronized (childOptions) {
childOptions.put(childOption, value);
}
}
return this;
}
|
java
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public <T> ServerBootstrap childOption(ChannelOption<T> childOption, T value) {
if (childOption == null) {
throw new NullPointerException("childOption");
}
if (value == null) {
synchronized (childOptions) {
childOptions.remove(childOption);
}
} else {
synchronized (childOptions) {
childOptions.put(childOption, value);
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}
return this;
}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/bootstrap/ServerBootstrap.java#L97-L111
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train
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apache/flink
|
flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java
|
Configuration.addDeprecations
|
public static void addDeprecations(DeprecationDelta[] deltas) {
DeprecationContext prev, next;
do {
prev = deprecationContext.get();
next = new DeprecationContext(prev, deltas);
} while (!deprecationContext.compareAndSet(prev, next));
}
|
java
|
public static void addDeprecations(DeprecationDelta[] deltas) {
DeprecationContext prev, next;
do {
prev = deprecationContext.get();
next = new DeprecationContext(prev, deltas);
} while (!deprecationContext.compareAndSet(prev, next));
}
|
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Adds a set of deprecated keys to the global deprecations.
This method is lockless. It works by means of creating a new
DeprecationContext based on the old one, and then atomically swapping in
the new context. If someone else updated the context in between us reading
the old context and swapping in the new one, we try again until we win the
race.
@param deltas The deprecations to add.
|
[
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"set",
"of",
"deprecated",
"keys",
"to",
"the",
"global",
"deprecations",
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java#L456-L462
|
train
|
Add a list of deprecation deltas to the current deprecation context.
|
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30526
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostStandardRequestDecoder.java
|
HttpPostStandardRequestDecoder.parseBody
|
private void parseBody() {
if (currentStatus == MultiPartStatus.PREEPILOGUE || currentStatus == MultiPartStatus.EPILOGUE) {
if (isLastChunk) {
currentStatus = MultiPartStatus.EPILOGUE;
}
return;
}
parseBodyAttributes();
}
|
java
|
private void parseBody() {
if (currentStatus == MultiPartStatus.PREEPILOGUE || currentStatus == MultiPartStatus.EPILOGUE) {
if (isLastChunk) {
currentStatus = MultiPartStatus.EPILOGUE;
}
return;
}
parseBodyAttributes();
}
|
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] |
This getMethod will parse as much as possible data and fill the list and map
@throws ErrorDataDecoderException
if there is a problem with the charset decoding or other
errors
|
[
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"data",
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"fill",
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"list",
"and",
"map"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostStandardRequestDecoder.java#L353-L361
|
train
|
Parse the body of the message.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/info/GitProperties.java
|
GitProperties.getShortCommitId
|
public String getShortCommitId() {
String shortId = get("commit.id.abbrev");
if (shortId != null) {
return shortId;
}
String id = getCommitId();
if (id == null) {
return null;
}
return (id.length() > 7) ? id.substring(0, 7) : id;
}
|
java
|
public String getShortCommitId() {
String shortId = get("commit.id.abbrev");
if (shortId != null) {
return shortId;
}
String id = getCommitId();
if (id == null) {
return null;
}
return (id.length() > 7) ? id.substring(0, 7) : id;
}
|
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/info/GitProperties.java#L56-L66
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train
|
Returns the commit id as a string.
|
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30526
] |
apache/flink
|
flink-connectors/flink-connector-filesystem/src/main/java/org/apache/flink/streaming/connectors/fs/bucketing/BucketingSink.java
|
BucketingSink.openNewPartFile
|
private void openNewPartFile(Path bucketPath, BucketState<T> bucketState) throws Exception {
closeCurrentPartFile(bucketState);
if (!fs.exists(bucketPath)) {
try {
if (fs.mkdirs(bucketPath)) {
LOG.debug("Created new bucket directory: {}", bucketPath);
}
} catch (IOException e) {
throw new RuntimeException("Could not create new bucket path.", e);
}
}
// The following loop tries different partCounter values in ascending order until it reaches the minimum
// that is not yet used. This works since there is only one parallel subtask that tries names with this
// subtask id. Otherwise we would run into concurrency issues here. This is aligned with the way we now
// clean the base directory in case of rescaling.
int subtaskIndex = getRuntimeContext().getIndexOfThisSubtask();
Path partPath = assemblePartPath(bucketPath, subtaskIndex, bucketState.partCounter);
while (fs.exists(partPath) ||
fs.exists(getPendingPathFor(partPath)) ||
fs.exists(getInProgressPathFor(partPath))) {
bucketState.partCounter++;
partPath = assemblePartPath(bucketPath, subtaskIndex, bucketState.partCounter);
}
// Record the creation time of the bucket
bucketState.creationTime = processingTimeService.getCurrentProcessingTime();
// increase, so we don't have to check for this name next time
bucketState.partCounter++;
LOG.debug("Next part path is {}", partPath.toString());
bucketState.currentFile = partPath.toString();
Path inProgressPath = getInProgressPathFor(partPath);
if (bucketState.writer == null) {
bucketState.writer = writerTemplate.duplicate();
if (bucketState.writer == null) {
throw new UnsupportedOperationException(
"Could not duplicate writer. " +
"Class '" + writerTemplate.getClass().getCanonicalName() + "' must implement the 'Writer.duplicate()' method."
);
}
}
bucketState.writer.open(fs, inProgressPath);
bucketState.isWriterOpen = true;
}
|
java
|
private void openNewPartFile(Path bucketPath, BucketState<T> bucketState) throws Exception {
closeCurrentPartFile(bucketState);
if (!fs.exists(bucketPath)) {
try {
if (fs.mkdirs(bucketPath)) {
LOG.debug("Created new bucket directory: {}", bucketPath);
}
} catch (IOException e) {
throw new RuntimeException("Could not create new bucket path.", e);
}
}
// The following loop tries different partCounter values in ascending order until it reaches the minimum
// that is not yet used. This works since there is only one parallel subtask that tries names with this
// subtask id. Otherwise we would run into concurrency issues here. This is aligned with the way we now
// clean the base directory in case of rescaling.
int subtaskIndex = getRuntimeContext().getIndexOfThisSubtask();
Path partPath = assemblePartPath(bucketPath, subtaskIndex, bucketState.partCounter);
while (fs.exists(partPath) ||
fs.exists(getPendingPathFor(partPath)) ||
fs.exists(getInProgressPathFor(partPath))) {
bucketState.partCounter++;
partPath = assemblePartPath(bucketPath, subtaskIndex, bucketState.partCounter);
}
// Record the creation time of the bucket
bucketState.creationTime = processingTimeService.getCurrentProcessingTime();
// increase, so we don't have to check for this name next time
bucketState.partCounter++;
LOG.debug("Next part path is {}", partPath.toString());
bucketState.currentFile = partPath.toString();
Path inProgressPath = getInProgressPathFor(partPath);
if (bucketState.writer == null) {
bucketState.writer = writerTemplate.duplicate();
if (bucketState.writer == null) {
throw new UnsupportedOperationException(
"Could not duplicate writer. " +
"Class '" + writerTemplate.getClass().getCanonicalName() + "' must implement the 'Writer.duplicate()' method."
);
}
}
bucketState.writer.open(fs, inProgressPath);
bucketState.isWriterOpen = true;
}
|
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Closes the current part file and opens a new one with a new bucket path, as returned by the
{@link Bucketer}. If the bucket is not new, then this will create a new file with the same path
as its predecessor, but with an increased rolling counter (see {@link BucketingSink}.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-filesystem/src/main/java/org/apache/flink/streaming/connectors/fs/bucketing/BucketingSink.java#L536-L585
|
train
|
Opens a new part file.
|
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apache/flink
|
flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/functions/aggfunctions/DeclarativeAggregateFunction.java
|
DeclarativeAggregateFunction.mergeOperand
|
public final UnresolvedReferenceExpression mergeOperand(UnresolvedReferenceExpression aggBuffer) {
String name = String.valueOf(Arrays.asList(aggBufferAttributes()).indexOf(aggBuffer));
validateOperandName(name);
return new UnresolvedReferenceExpression(name);
}
|
java
|
public final UnresolvedReferenceExpression mergeOperand(UnresolvedReferenceExpression aggBuffer) {
String name = String.valueOf(Arrays.asList(aggBufferAttributes()).indexOf(aggBuffer));
validateOperandName(name);
return new UnresolvedReferenceExpression(name);
}
|
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Merge input of {@link #mergeExpressions()}, the input are AGG buffer generated by user definition.
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/functions/aggfunctions/DeclarativeAggregateFunction.java#L146-L150
|
train
|
Merge an operand into this one.
|
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apache/flink
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flink-connectors/flink-connector-kafka-0.9/src/main/java/org/apache/flink/streaming/connectors/kafka/internal/Kafka09Fetcher.java
|
Kafka09Fetcher.emitRecord
|
protected void emitRecord(
T record,
KafkaTopicPartitionState<TopicPartition> partition,
long offset,
@SuppressWarnings("UnusedParameters") ConsumerRecord<?, ?> consumerRecord) throws Exception {
// the 0.9 Fetcher does not try to extract a timestamp
emitRecord(record, partition, offset);
}
|
java
|
protected void emitRecord(
T record,
KafkaTopicPartitionState<TopicPartition> partition,
long offset,
@SuppressWarnings("UnusedParameters") ConsumerRecord<?, ?> consumerRecord) throws Exception {
// the 0.9 Fetcher does not try to extract a timestamp
emitRecord(record, partition, offset);
}
|
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.9/src/main/java/org/apache/flink/streaming/connectors/kafka/internal/Kafka09Fetcher.java#L190-L198
|
train
|
Emits a single record to the Kafka topic partition.
|
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30526
] |
apache/spark
|
launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java
|
SparkLauncher.startApplication
|
@Override
public SparkAppHandle startApplication(SparkAppHandle.Listener... listeners) throws IOException {
LauncherServer server = LauncherServer.getOrCreateServer();
ChildProcAppHandle handle = new ChildProcAppHandle(server);
for (SparkAppHandle.Listener l : listeners) {
handle.addListener(l);
}
String secret = server.registerHandle(handle);
String loggerName = getLoggerName();
ProcessBuilder pb = createBuilder();
boolean outputToLog = outputStream == null;
boolean errorToLog = !redirectErrorStream && errorStream == null;
// Only setup stderr + stdout to logger redirection if user has not otherwise configured output
// redirection.
if (loggerName == null && (outputToLog || errorToLog)) {
String appName;
if (builder.appName != null) {
appName = builder.appName;
} else if (builder.mainClass != null) {
int dot = builder.mainClass.lastIndexOf(".");
if (dot >= 0 && dot < builder.mainClass.length() - 1) {
appName = builder.mainClass.substring(dot + 1, builder.mainClass.length());
} else {
appName = builder.mainClass;
}
} else if (builder.appResource != null) {
appName = new File(builder.appResource).getName();
} else {
appName = String.valueOf(COUNTER.incrementAndGet());
}
String loggerPrefix = getClass().getPackage().getName();
loggerName = String.format("%s.app.%s", loggerPrefix, appName);
}
if (outputToLog && errorToLog) {
pb.redirectErrorStream(true);
}
pb.environment().put(LauncherProtocol.ENV_LAUNCHER_PORT, String.valueOf(server.getPort()));
pb.environment().put(LauncherProtocol.ENV_LAUNCHER_SECRET, secret);
try {
Process child = pb.start();
InputStream logStream = null;
if (loggerName != null) {
logStream = outputToLog ? child.getInputStream() : child.getErrorStream();
}
handle.setChildProc(child, loggerName, logStream);
} catch (IOException ioe) {
handle.kill();
throw ioe;
}
return handle;
}
|
java
|
@Override
public SparkAppHandle startApplication(SparkAppHandle.Listener... listeners) throws IOException {
LauncherServer server = LauncherServer.getOrCreateServer();
ChildProcAppHandle handle = new ChildProcAppHandle(server);
for (SparkAppHandle.Listener l : listeners) {
handle.addListener(l);
}
String secret = server.registerHandle(handle);
String loggerName = getLoggerName();
ProcessBuilder pb = createBuilder();
boolean outputToLog = outputStream == null;
boolean errorToLog = !redirectErrorStream && errorStream == null;
// Only setup stderr + stdout to logger redirection if user has not otherwise configured output
// redirection.
if (loggerName == null && (outputToLog || errorToLog)) {
String appName;
if (builder.appName != null) {
appName = builder.appName;
} else if (builder.mainClass != null) {
int dot = builder.mainClass.lastIndexOf(".");
if (dot >= 0 && dot < builder.mainClass.length() - 1) {
appName = builder.mainClass.substring(dot + 1, builder.mainClass.length());
} else {
appName = builder.mainClass;
}
} else if (builder.appResource != null) {
appName = new File(builder.appResource).getName();
} else {
appName = String.valueOf(COUNTER.incrementAndGet());
}
String loggerPrefix = getClass().getPackage().getName();
loggerName = String.format("%s.app.%s", loggerPrefix, appName);
}
if (outputToLog && errorToLog) {
pb.redirectErrorStream(true);
}
pb.environment().put(LauncherProtocol.ENV_LAUNCHER_PORT, String.valueOf(server.getPort()));
pb.environment().put(LauncherProtocol.ENV_LAUNCHER_SECRET, secret);
try {
Process child = pb.start();
InputStream logStream = null;
if (loggerName != null) {
logStream = outputToLog ? child.getInputStream() : child.getErrorStream();
}
handle.setChildProc(child, loggerName, logStream);
} catch (IOException ioe) {
handle.kill();
throw ioe;
}
return handle;
}
|
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] |
Starts a Spark application.
<p>
Applications launched by this launcher run as child processes. The child's stdout and stderr
are merged and written to a logger (see <code>java.util.logging</code>) only if redirection
has not otherwise been configured on this <code>SparkLauncher</code>. The logger's name can be
defined by setting {@link #CHILD_PROCESS_LOGGER_NAME} in the app's configuration. If that
option is not set, the code will try to derive a name from the application's name or main
class / script file. If those cannot be determined, an internal, unique name will be used.
In all cases, the logger name will start with "org.apache.spark.launcher.app", to fit more
easily into the configuration of commonly-used logging systems.
@since 1.6.0
@see AbstractLauncher#startApplication(SparkAppHandle.Listener...)
@param listeners Listeners to add to the handle before the app is launched.
@return A handle for the launched application.
|
[
"Starts",
"a",
"Spark",
"application",
"."
] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java#L350-L407
|
train
|
Start the application.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskExecutorBuilder.java
|
TaskExecutorBuilder.configure
|
public <T extends ThreadPoolTaskExecutor> T configure(T taskExecutor) {
PropertyMapper map = PropertyMapper.get().alwaysApplyingWhenNonNull();
map.from(this.queueCapacity).to(taskExecutor::setQueueCapacity);
map.from(this.corePoolSize).to(taskExecutor::setCorePoolSize);
map.from(this.maxPoolSize).to(taskExecutor::setMaxPoolSize);
map.from(this.keepAlive).asInt(Duration::getSeconds)
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map.from(this.allowCoreThreadTimeOut).to(taskExecutor::setAllowCoreThreadTimeOut);
map.from(this.awaitTermination)
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map.from(this.awaitTerminationPeriod).asInt(Duration::getSeconds)
.to(taskExecutor::setAwaitTerminationSeconds);
map.from(this.threadNamePrefix).whenHasText()
.to(taskExecutor::setThreadNamePrefix);
map.from(this.taskDecorator).to(taskExecutor::setTaskDecorator);
if (!CollectionUtils.isEmpty(this.customizers)) {
this.customizers.forEach((customizer) -> customizer.customize(taskExecutor));
}
return taskExecutor;
}
|
java
|
public <T extends ThreadPoolTaskExecutor> T configure(T taskExecutor) {
PropertyMapper map = PropertyMapper.get().alwaysApplyingWhenNonNull();
map.from(this.queueCapacity).to(taskExecutor::setQueueCapacity);
map.from(this.corePoolSize).to(taskExecutor::setCorePoolSize);
map.from(this.maxPoolSize).to(taskExecutor::setMaxPoolSize);
map.from(this.keepAlive).asInt(Duration::getSeconds)
.to(taskExecutor::setKeepAliveSeconds);
map.from(this.allowCoreThreadTimeOut).to(taskExecutor::setAllowCoreThreadTimeOut);
map.from(this.awaitTermination)
.to(taskExecutor::setWaitForTasksToCompleteOnShutdown);
map.from(this.awaitTerminationPeriod).asInt(Duration::getSeconds)
.to(taskExecutor::setAwaitTerminationSeconds);
map.from(this.threadNamePrefix).whenHasText()
.to(taskExecutor::setThreadNamePrefix);
map.from(this.taskDecorator).to(taskExecutor::setTaskDecorator);
if (!CollectionUtils.isEmpty(this.customizers)) {
this.customizers.forEach((customizer) -> customizer.customize(taskExecutor));
}
return taskExecutor;
}
|
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Configure the provided {@link ThreadPoolTaskExecutor} instance using this builder.
@param <T> the type of task executor
@param taskExecutor the {@link ThreadPoolTaskExecutor} to configure
@return the task executor instance
@see #build()
@see #build(Class)
|
[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskExecutorBuilder.java#L317-L336
|
train
|
Configure the given task executor.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java
|
IterUtil.toMap
|
public static <K, V> Map<K, V> toMap(Iterator<K> keys, Iterator<V> values, boolean isOrder) {
final Map<K, V> resultMap = MapUtil.newHashMap(isOrder);
if (isNotEmpty(keys)) {
while (keys.hasNext()) {
resultMap.put(keys.next(), (null != values && values.hasNext()) ? values.next() : null);
}
}
return resultMap;
}
|
java
|
public static <K, V> Map<K, V> toMap(Iterator<K> keys, Iterator<V> values, boolean isOrder) {
final Map<K, V> resultMap = MapUtil.newHashMap(isOrder);
if (isNotEmpty(keys)) {
while (keys.hasNext()) {
resultMap.put(keys.next(), (null != values && values.hasNext()) ? values.next() : null);
}
}
return resultMap;
}
|
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将键列表和值列表转换为Map<br>
以键为准，值与键位置需对应。如果键元素数多于值元素，多余部分值用null代替。<br>
如果值多于键，忽略多余的值。
@param <K> 键类型
@param <V> 值类型
@param keys 键列表
@param values 值列表
@param isOrder 是否有序
@return 标题内容Map
@since 4.1.12
|
[
"将键列表和值列表转换为Map<br",
">",
"以键为准，值与键位置需对应。如果键元素数多于值元素，多余部分值用null代替。<br",
">",
"如果值多于键，忽略多余的值。"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java#L421-L429
|
train
|
Creates a map from the given iterator.
|
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java
|
DoubleArrayTrie.load
|
public boolean load(byte[] bytes, int offset, V[] value)
{
if (bytes == null) return false;
size = ByteUtil.bytesHighFirstToInt(bytes, offset);
offset += 4;
base = new int[size + 65535]; // 多留一些，防止越界
check = new int[size + 65535];
for (int i = 0; i < size; i++)
{
base[i] = ByteUtil.bytesHighFirstToInt(bytes, offset);
offset += 4;
check[i] = ByteUtil.bytesHighFirstToInt(bytes, offset);
offset += 4;
}
v = value;
return true;
}
|
java
|
public boolean load(byte[] bytes, int offset, V[] value)
{
if (bytes == null) return false;
size = ByteUtil.bytesHighFirstToInt(bytes, offset);
offset += 4;
base = new int[size + 65535]; // 多留一些，防止越界
check = new int[size + 65535];
for (int i = 0; i < size; i++)
{
base[i] = ByteUtil.bytesHighFirstToInt(bytes, offset);
offset += 4;
check[i] = ByteUtil.bytesHighFirstToInt(bytes, offset);
offset += 4;
}
v = value;
return true;
}
|
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从字节数组加载（发现在MacOS上，此方法比ByteArray更快）
@param bytes
@param offset
@param value
@return
|
[
"从字节数组加载（发现在MacOS上，此方法比ByteArray更快）"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java#L555-L571
|
train
|
Load a single class from the bytes.
|
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utility/src/main/java/com/networknt/utility/NioUtils.java
|
NioUtils.deleteOldFiles
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public static void deleteOldFiles(String dirPath, int olderThanMinute) {
File folder = new File(dirPath);
if (folder.exists()) {
File[] listFiles = folder.listFiles();
long eligibleForDeletion = System.currentTimeMillis() - (olderThanMinute * 60 * 1000L);
for (File listFile: listFiles) {
if (listFile.lastModified() < eligibleForDeletion) {
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}
}
}
}
}
|
java
|
public static void deleteOldFiles(String dirPath, int olderThanMinute) {
File folder = new File(dirPath);
if (folder.exists()) {
File[] listFiles = folder.listFiles();
long eligibleForDeletion = System.currentTimeMillis() - (olderThanMinute * 60 * 1000L);
for (File listFile: listFiles) {
if (listFile.lastModified() < eligibleForDeletion) {
if (!listFile.delete()) {
logger.error("Unable to delete file %s", listFile);
}
}
}
}
}
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[
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/utility/src/main/java/com/networknt/utility/NioUtils.java#L230-L244
|
train
|
Delete old files.
|
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flink-java/src/main/java/org/apache/flink/api/java/ExecutionEnvironment.java
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ExecutionEnvironment.registerTypeWithKryoSerializer
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public void registerTypeWithKryoSerializer(Class<?> type, Class<? extends Serializer<?>> serializerClass) {
config.registerTypeWithKryoSerializer(type, serializerClass);
}
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java
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public void registerTypeWithKryoSerializer(Class<?> type, Class<? extends Serializer<?>> serializerClass) {
config.registerTypeWithKryoSerializer(type, serializerClass);
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Registers the given Serializer via its class as a serializer for the given type at the KryoSerializer.
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@param serializerClass The class of the serializer to use.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/ExecutionEnvironment.java#L354-L356
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train
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Register a type with the Kryo serializer.
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apache/flink
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flink-core/src/main/java/org/apache/flink/util/StringUtils.java
|
StringUtils.writeNullableString
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public static void writeNullableString(@Nullable String str, DataOutputView out) throws IOException {
if (str != null) {
out.writeBoolean(true);
writeString(str, out);
} else {
out.writeBoolean(false);
}
}
|
java
|
public static void writeNullableString(@Nullable String str, DataOutputView out) throws IOException {
if (str != null) {
out.writeBoolean(true);
writeString(str, out);
} else {
out.writeBoolean(false);
}
}
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Writes a String to the given output. The string may be null.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/StringUtils.java#L319-L326
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train
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Write a String to a DataOutputView.
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netty/netty
|
common/src/main/java/io/netty/util/internal/NativeLibraryLoader.java
|
NativeLibraryLoader.patchShadedLibraryId
|
static boolean patchShadedLibraryId(InputStream in, OutputStream out, String originalName, String name)
throws IOException {
byte[] buffer = new byte[8192];
int length;
// We read the whole native lib into memory to make it easier to monkey-patch the id.
ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream(in.available());
while ((length = in.read(buffer)) > 0) {
byteArrayOutputStream.write(buffer, 0, length);
}
byteArrayOutputStream.flush();
byte[] bytes = byteArrayOutputStream.toByteArray();
byteArrayOutputStream.close();
final boolean patched;
// Try to patch the library id.
if (!patchShadedLibraryId(bytes, originalName, name)) {
// We did not find the Id, check if we used a originalName that has the os and arch as suffix.
// If this is the case we should also try to patch with the os and arch suffix removed.
String os = PlatformDependent.normalizedOs();
String arch = PlatformDependent.normalizedArch();
String osArch = "_" + os + "_" + arch;
if (originalName.endsWith(osArch)) {
patched = patchShadedLibraryId(bytes,
originalName.substring(0, originalName.length() - osArch.length()), name);
} else {
patched = false;
}
} else {
patched = true;
}
out.write(bytes, 0, bytes.length);
return patched;
}
|
java
|
static boolean patchShadedLibraryId(InputStream in, OutputStream out, String originalName, String name)
throws IOException {
byte[] buffer = new byte[8192];
int length;
// We read the whole native lib into memory to make it easier to monkey-patch the id.
ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream(in.available());
while ((length = in.read(buffer)) > 0) {
byteArrayOutputStream.write(buffer, 0, length);
}
byteArrayOutputStream.flush();
byte[] bytes = byteArrayOutputStream.toByteArray();
byteArrayOutputStream.close();
final boolean patched;
// Try to patch the library id.
if (!patchShadedLibraryId(bytes, originalName, name)) {
// We did not find the Id, check if we used a originalName that has the os and arch as suffix.
// If this is the case we should also try to patch with the os and arch suffix removed.
String os = PlatformDependent.normalizedOs();
String arch = PlatformDependent.normalizedArch();
String osArch = "_" + os + "_" + arch;
if (originalName.endsWith(osArch)) {
patched = patchShadedLibraryId(bytes,
originalName.substring(0, originalName.length() - osArch.length()), name);
} else {
patched = false;
}
} else {
patched = true;
}
out.write(bytes, 0, bytes.length);
return patched;
}
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/internal/NativeLibraryLoader.java#L241-L274
|
train
|
Patch the shaded library id.
|
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/IterativeStream.java
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IterativeStream.withFeedbackType
|
public <F> ConnectedIterativeStreams<T, F> withFeedbackType(TypeInformation<F> feedbackType) {
return new ConnectedIterativeStreams<>(originalInput, feedbackType, maxWaitTime);
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|
java
|
public <F> ConnectedIterativeStreams<T, F> withFeedbackType(TypeInformation<F> feedbackType) {
return new ConnectedIterativeStreams<>(originalInput, feedbackType, maxWaitTime);
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@return A {@link ConnectedIterativeStreams}.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/IterativeStream.java#L123-L125
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train
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Returns a new ConnectedIterativeStreams instance with the specified feedback type.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ZipUtil.java
|
ZipUtil.copy
|
private static void copy(ZipFile zipFile, ZipEntry zipEntry, File outItemFile) throws IOException {
InputStream in = null;
OutputStream out = null;
try {
in = zipFile.getInputStream(zipEntry);
out = FileUtil.getOutputStream(outItemFile);
IoUtil.copy(in, out);
} finally {
IoUtil.close(out);
IoUtil.close(in);
}
}
|
java
|
private static void copy(ZipFile zipFile, ZipEntry zipEntry, File outItemFile) throws IOException {
InputStream in = null;
OutputStream out = null;
try {
in = zipFile.getInputStream(zipEntry);
out = FileUtil.getOutputStream(outItemFile);
IoUtil.copy(in, out);
} finally {
IoUtil.close(out);
IoUtil.close(in);
}
}
|
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从Zip文件流中拷贝文件出来
@param zipFile Zip文件
@param zipEntry zip文件中的子文件
@param outItemFile 输出到的文件
@throws IOException IO异常
|
[
"从Zip文件流中拷贝文件出来"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ZipUtil.java#L905-L916
|
train
|
Copy the contents of the specified zip entry to the specified output item file.
|
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.forward
|
public final LogBuffer forward(final int len) {
if (position + len > origin + limit) throw new IllegalArgumentException("limit excceed: "
+ (position + len - origin));
this.position += len;
return this;
}
|
java
|
public final LogBuffer forward(final int len) {
if (position + len > origin + limit) throw new IllegalArgumentException("limit excceed: "
+ (position + len - origin));
this.position += len;
return this;
}
|
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Forwards this buffer's position.
@param len The forward distance
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8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L114-L120
|
train
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Forward to the end of the buffer.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/nr/TranslatedPersonDictionary.java
|
TranslatedPersonDictionary.containsKey
|
public static boolean containsKey(String key, int length)
{
if (!trie.containsKey(key)) return false;
return key.length() >= length;
}
|
java
|
public static boolean containsKey(String key, int length)
{
if (!trie.containsKey(key)) return false;
return key.length() >= length;
}
|
[
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"length",
"(",
")",
">=",
"length",
";",
"}"
] |
时报包含key，且key至少长length
@param key
@param length
@return
|
[
"时报包含key，且key至少长length"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/nr/TranslatedPersonDictionary.java#L123-L127
|
train
|
Check if a key is present in the trie.
|
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networknt/light-4j
|
consul/src/main/java/com/networknt/consul/ConsulUtils.java
|
ConsulUtils.isSame
|
public static boolean isSame(List<URL> urls1, List<URL> urls2) {
if (urls1 == null || urls2 == null) {
return false;
}
if (urls1.size() != urls2.size()) {
return false;
}
return urls1.containsAll(urls2);
}
|
java
|
public static boolean isSame(List<URL> urls1, List<URL> urls2) {
if (urls1 == null || urls2 == null) {
return false;
}
if (urls1.size() != urls2.size()) {
return false;
}
return urls1.containsAll(urls2);
}
|
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Check if two lists have the same urls. If any list is empty, return false
@param urls1 first url list
@param urls2 second url list
@return boolean true when they are the same
|
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/consul/src/main/java/com/networknt/consul/ConsulUtils.java#L38-L46
|
train
|
Check if two lists are the same.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/map/multi/ListValueMap.java
|
ListValueMap.get
|
@Override
public List<V> get(Object key) {
return (List<V>) super.get(key);
}
|
java
|
@Override
public List<V> get(Object key) {
return (List<V>) super.get(key);
}
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------------------------------------------------------------------------- Constructor end
|
[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/multi/ListValueMap.java#L69-L72
|
train
|
Override to return a list of objects that contain a reference to a managed object.
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java
|
HttpUtil.isUnsupportedExpectation
|
static boolean isUnsupportedExpectation(HttpMessage message) {
if (!isExpectHeaderValid(message)) {
return false;
}
final String expectValue = message.headers().get(HttpHeaderNames.EXPECT);
return expectValue != null && !HttpHeaderValues.CONTINUE.toString().equalsIgnoreCase(expectValue);
}
|
java
|
static boolean isUnsupportedExpectation(HttpMessage message) {
if (!isExpectHeaderValid(message)) {
return false;
}
final String expectValue = message.headers().get(HttpHeaderNames.EXPECT);
return expectValue != null && !HttpHeaderValues.CONTINUE.toString().equalsIgnoreCase(expectValue);
}
|
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supported. Note that this method returns {@code false} if the expect header is not valid for the message
(e.g., the message is a response, or the version on the message is HTTP/1.0).
@param message the message
@return {@code true} if and only if an expectation is present that is not supported
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java#L260-L267
|
train
|
Check if the given message contains unsupported expectations.
|
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30526
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/yaml/engine/YamlEngine.java
|
YamlEngine.unmarshal
|
public static <T extends YamlConfiguration> T unmarshal(final File yamlFile, final Class<T> classType) throws IOException {
try (
FileInputStream fileInputStream = new FileInputStream(yamlFile);
InputStreamReader inputStreamReader = new InputStreamReader(fileInputStream, "UTF-8")
) {
return new Yaml(new Constructor(classType)).loadAs(inputStreamReader, classType);
}
}
|
java
|
public static <T extends YamlConfiguration> T unmarshal(final File yamlFile, final Class<T> classType) throws IOException {
try (
FileInputStream fileInputStream = new FileInputStream(yamlFile);
InputStreamReader inputStreamReader = new InputStreamReader(fileInputStream, "UTF-8")
) {
return new Yaml(new Constructor(classType)).loadAs(inputStreamReader, classType);
}
}
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Unmarshal YAML.
@param yamlFile YAML file
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|
[
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/yaml/engine/YamlEngine.java#L54-L61
|
train
|
Unmarshals a YAML file to an object of the specified class type.
|
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flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/metrics/MetricStore.java
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MetricStore.getTaskMetricStore
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public synchronized TaskMetricStore getTaskMetricStore(String jobID, String taskID) {
JobMetricStore job = jobID == null ? null : jobs.get(jobID);
if (job == null || taskID == null) {
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return TaskMetricStore.unmodifiable(job.getTaskMetricStore(taskID));
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java
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public synchronized TaskMetricStore getTaskMetricStore(String jobID, String taskID) {
JobMetricStore job = jobID == null ? null : jobs.get(jobID);
if (job == null || taskID == null) {
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return TaskMetricStore.unmodifiable(job.getTaskMetricStore(taskID));
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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30526
] |
alibaba/canal
|
client-adapter/launcher/src/main/java/com/alibaba/otter/canal/adapter/launcher/rest/CommonRest.java
|
CommonRest.destinations
|
@GetMapping("/destinations")
public List<Map<String, String>> destinations() {
List<Map<String, String>> result = new ArrayList<>();
Set<String> destinations = adapterCanalConfig.DESTINATIONS;
for (String destination : destinations) {
Map<String, String> resMap = new LinkedHashMap<>();
boolean status = syncSwitch.status(destination);
String resStatus;
if (status) {
resStatus = "on";
} else {
resStatus = "off";
}
resMap.put("destination", destination);
resMap.put("status", resStatus);
result.add(resMap);
}
return result;
}
|
java
|
@GetMapping("/destinations")
public List<Map<String, String>> destinations() {
List<Map<String, String>> result = new ArrayList<>();
Set<String> destinations = adapterCanalConfig.DESTINATIONS;
for (String destination : destinations) {
Map<String, String> resMap = new LinkedHashMap<>();
boolean status = syncSwitch.status(destination);
String resStatus;
if (status) {
resStatus = "on";
} else {
resStatus = "off";
}
resMap.put("destination", destination);
resMap.put("status", resStatus);
result.add(resMap);
}
return result;
}
|
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] |
返回所有实例 curl http://127.0.0.1:8081/destinations
|
[
"返回所有实例",
"curl",
"http",
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] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/launcher/src/main/java/com/alibaba/otter/canal/adapter/launcher/rest/CommonRest.java#L155-L173
|
train
|
Get a list of destination mappings.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/bipartite/BipartiteGraph.java
|
BipartiteGraph.projectionBottomSimple
|
public Graph<KB, VVB, Tuple2<EV, EV>> projectionBottomSimple() {
DataSet<Edge<KB, Tuple2<EV, EV>>> newEdges = edges.join(edges)
.where(0)
.equalTo(0)
.with(new ProjectionBottomSimple<>())
.name("Simple bottom projection");
return Graph.fromDataSet(bottomVertices, newEdges, context);
}
|
java
|
public Graph<KB, VVB, Tuple2<EV, EV>> projectionBottomSimple() {
DataSet<Edge<KB, Tuple2<EV, EV>>> newEdges = edges.join(edges)
.where(0)
.equalTo(0)
.with(new ProjectionBottomSimple<>())
.name("Simple bottom projection");
return Graph.fromDataSet(bottomVertices, newEdges, context);
}
|
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Convert a bipartite graph into an undirected graph that contains only bottom vertices. An edge between two
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connected to.
<p>The simple projection performs a single join and returns edges containing the bipartite edge values.
<p>Note: KB must override .equals(). This requirement may be removed in a future release.
@return simple bottom projection of the bipartite graph
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/bipartite/BipartiteGraph.java#L171-L179
|
train
|
Projections the bottom vertices of this graph into a graph that is a simple bottom projection.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/file/FileReader.java
|
FileReader.getInputStream
|
public BufferedInputStream getInputStream() throws IORuntimeException {
try {
return new BufferedInputStream(new FileInputStream(this.file));
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
java
|
public BufferedInputStream getInputStream() throws IORuntimeException {
try {
return new BufferedInputStream(new FileInputStream(this.file));
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
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获得输入流
@return 输入流
@throws IORuntimeException IO异常
|
[
"获得输入流"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/file/FileReader.java#L239-L245
|
train
|
Returns an input stream for the file.
|
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
|
DataStream.writeAsText
|
@PublicEvolving
public DataStreamSink<T> writeAsText(String path, WriteMode writeMode) {
TextOutputFormat<T> tof = new TextOutputFormat<>(new Path(path));
tof.setWriteMode(writeMode);
return writeUsingOutputFormat(tof);
}
|
java
|
@PublicEvolving
public DataStreamSink<T> writeAsText(String path, WriteMode writeMode) {
TextOutputFormat<T> tof = new TextOutputFormat<>(new Path(path));
tof.setWriteMode(writeMode);
return writeUsingOutputFormat(tof);
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L1041-L1046
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train
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Write the data stream to a text file.
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30526
] |
looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/digest/Digester.java
|
Digester.digestWithSalt
|
private byte[] digestWithSalt(InputStream data, int bufferLength) throws IOException {
if (this.saltPosition <= 0) {
// 加盐在开头
this.digest.update(this.salt);
}
final byte[] buffer = new byte[bufferLength];
int total = 0;
int read;
while ((read = data.read(buffer, 0, bufferLength)) > -1) {
total += read;
if (this.saltPosition > 0 && total >= this.saltPosition) {
if (total != this.saltPosition) {
digest.update(buffer, 0, total - this.saltPosition);
}
// 加盐在中间
this.digest.update(this.salt);
this.digest.update(buffer, total - this.saltPosition, read);
} else {
this.digest.update(buffer, 0, read);
}
}
if (total < this.saltPosition) {
// 加盐在末尾
this.digest.update(this.salt);
}
return this.digest.digest();
}
|
java
|
private byte[] digestWithSalt(InputStream data, int bufferLength) throws IOException {
if (this.saltPosition <= 0) {
// 加盐在开头
this.digest.update(this.salt);
}
final byte[] buffer = new byte[bufferLength];
int total = 0;
int read;
while ((read = data.read(buffer, 0, bufferLength)) > -1) {
total += read;
if (this.saltPosition > 0 && total >= this.saltPosition) {
if (total != this.saltPosition) {
digest.update(buffer, 0, total - this.saltPosition);
}
// 加盐在中间
this.digest.update(this.salt);
this.digest.update(buffer, total - this.saltPosition, read);
} else {
this.digest.update(buffer, 0, read);
}
}
if (total < this.saltPosition) {
// 加盐在末尾
this.digest.update(this.salt);
}
return this.digest.digest();
}
|
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生成摘要
@param data {@link InputStream} 数据流
@param bufferLength 缓存长度，不足1使用 {@link IoUtil#DEFAULT_BUFFER_SIZE} 做为默认值
@return 摘要bytes
@throws IOException 从流中读取数据引发的IO异常
|
[
"生成摘要"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/digest/Digester.java#L373-L402
|
train
|
Creates a byte array containing the digest of the data.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointProperties.java
|
CheckpointProperties.forCheckpoint
|
public static CheckpointProperties forCheckpoint(CheckpointRetentionPolicy policy) {
switch (policy) {
case NEVER_RETAIN_AFTER_TERMINATION:
return CHECKPOINT_NEVER_RETAINED;
case RETAIN_ON_FAILURE:
return CHECKPOINT_RETAINED_ON_FAILURE;
case RETAIN_ON_CANCELLATION:
return CHECKPOINT_RETAINED_ON_CANCELLATION;
default:
throw new IllegalArgumentException("unknown policy: " + policy);
}
}
|
java
|
public static CheckpointProperties forCheckpoint(CheckpointRetentionPolicy policy) {
switch (policy) {
case NEVER_RETAIN_AFTER_TERMINATION:
return CHECKPOINT_NEVER_RETAINED;
case RETAIN_ON_FAILURE:
return CHECKPOINT_RETAINED_ON_FAILURE;
case RETAIN_ON_CANCELLATION:
return CHECKPOINT_RETAINED_ON_CANCELLATION;
default:
throw new IllegalArgumentException("unknown policy: " + policy);
}
}
|
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Creates the checkpoint properties for a checkpoint.
<p>Checkpoints may be queued in case too many other checkpoints are currently happening.
They are garbage collected automatically, except when the owning job
terminates in state {@link JobStatus#FAILED}. The user is required to
configure the clean up behaviour on job cancellation.
@return Checkpoint properties for an external checkpoint.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointProperties.java#L314-L325
|
train
|
Returns a checkpoint properties object for the given checkpoint retention policy.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java
|
ReflectUtil.getPublicMethod
|
public static Method getPublicMethod(Class<?> clazz, String methodName, Class<?>... paramTypes) throws SecurityException {
try {
return clazz.getMethod(methodName, paramTypes);
} catch (NoSuchMethodException ex) {
return null;
}
}
|
java
|
public static Method getPublicMethod(Class<?> clazz, String methodName, Class<?>... paramTypes) throws SecurityException {
try {
return clazz.getMethod(methodName, paramTypes);
} catch (NoSuchMethodException ex) {
return null;
}
}
|
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查找指定Public方法 如果找不到对应的方法或方法不为public的则返回<code>null</code>
@param clazz 类
@param methodName 方法名
@param paramTypes 参数类型
@return 方法
@throws SecurityException 无权访问抛出异常
|
[
"查找指定Public方法",
"如果找不到对应的方法或方法不为public的则返回<code",
">",
"null<",
"/",
"code",
">"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L372-L378
|
train
|
Gets the public method of the given class.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/utility/LexiconUtility.java
|
LexiconUtility.getAttribute
|
public static CoreDictionary.Attribute getAttribute(String word)
{
CoreDictionary.Attribute attribute = CoreDictionary.get(word);
if (attribute != null) return attribute;
return CustomDictionary.get(word);
}
|
java
|
public static CoreDictionary.Attribute getAttribute(String word)
{
CoreDictionary.Attribute attribute = CoreDictionary.get(word);
if (attribute != null) return attribute;
return CustomDictionary.get(word);
}
|
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从HanLP的词库中提取某个单词的属性（包括核心词典和用户词典）
@param word 单词
@return 包含词性与频次的信息
|
[
"从HanLP的词库中提取某个单词的属性（包括核心词典和用户词典）"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/utility/LexiconUtility.java#L35-L40
|
train
|
Get the attribute for a word.
|
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apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/SortOperationFactory.java
|
SortOperationFactory.createLimitWithFetch
|
public TableOperation createLimitWithFetch(int fetch, TableOperation child) {
SortTableOperation previousSort = validateAndGetChildSort(child);
if (fetch < 0) {
throw new ValidationException("Fetch should be greater or equal 0");
}
int offset = Math.max(previousSort.getOffset(), 0);
return new SortTableOperation(previousSort.getOrder(), previousSort.getChild(), offset, fetch);
}
|
java
|
public TableOperation createLimitWithFetch(int fetch, TableOperation child) {
SortTableOperation previousSort = validateAndGetChildSort(child);
if (fetch < 0) {
throw new ValidationException("Fetch should be greater or equal 0");
}
int offset = Math.max(previousSort.getOffset(), 0);
return new SortTableOperation(previousSort.getOrder(), previousSort.getChild(), offset, fetch);
}
|
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Adds fetch to the underlying {@link SortTableOperation} if it is a valid one.
@param fetch fetch number to add
@param child should be {@link SortTableOperation}
@return valid sort operation with applied fetch
|
[
"Adds",
"fetch",
"to",
"the",
"underlying",
"{",
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"SortTableOperation",
"}",
"if",
"it",
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"a",
"valid",
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"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/SortOperationFactory.java#L94-L104
|
train
|
Create a limit operation with a fetch number.
|
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30526
] |
netty/netty
|
common/src/main/java/io/netty/util/AsciiString.java
|
AsciiString.regionMatches
|
public static boolean regionMatches(final CharSequence cs, final boolean ignoreCase, final int csStart,
final CharSequence string, final int start, final int length) {
if (cs == null || string == null) {
return false;
}
if (cs instanceof String && string instanceof String) {
return ((String) cs).regionMatches(ignoreCase, csStart, (String) string, start, length);
}
if (cs instanceof AsciiString) {
return ((AsciiString) cs).regionMatches(ignoreCase, csStart, string, start, length);
}
return regionMatchesCharSequences(cs, csStart, string, start, length,
ignoreCase ? GeneralCaseInsensitiveCharEqualityComparator.INSTANCE :
DefaultCharEqualityComparator.INSTANCE);
}
|
java
|
public static boolean regionMatches(final CharSequence cs, final boolean ignoreCase, final int csStart,
final CharSequence string, final int start, final int length) {
if (cs == null || string == null) {
return false;
}
if (cs instanceof String && string instanceof String) {
return ((String) cs).regionMatches(ignoreCase, csStart, (String) string, start, length);
}
if (cs instanceof AsciiString) {
return ((AsciiString) cs).regionMatches(ignoreCase, csStart, string, start, length);
}
return regionMatchesCharSequences(cs, csStart, string, start, length,
ignoreCase ? GeneralCaseInsensitiveCharEqualityComparator.INSTANCE :
DefaultCharEqualityComparator.INSTANCE);
}
|
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This methods make regionMatches operation correctly for any chars in strings
@param cs the {@code CharSequence} to be processed
@param ignoreCase specifies if case should be ignored.
@param csStart the starting offset in the {@code cs} CharSequence
@param string the {@code CharSequence} to compare.
@param start the starting offset in the specified {@code string}.
@param length the number of characters to compare.
@return {@code true} if the ranges of characters are equal, {@code false} otherwise.
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/AsciiString.java#L1632-L1649
|
train
|
regionMatches Method.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/convert/impl/NumberConverter.java
|
NumberConverter.toBigInteger
|
private BigInteger toBigInteger(Object value) {
if (value instanceof Long) {
return BigInteger.valueOf((Long) value);
} else if(value instanceof Boolean) {
return BigInteger.valueOf((boolean)value ? 1 : 0);
}
final String valueStr = convertToStr(value);
if (StrUtil.isBlank(valueStr)) {
return null;
}
return new BigInteger(valueStr);
}
|
java
|
private BigInteger toBigInteger(Object value) {
if (value instanceof Long) {
return BigInteger.valueOf((Long) value);
} else if(value instanceof Boolean) {
return BigInteger.valueOf((boolean)value ? 1 : 0);
}
final String valueStr = convertToStr(value);
if (StrUtil.isBlank(valueStr)) {
return null;
}
return new BigInteger(valueStr);
}
|
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转换为BigInteger<br>
如果给定的值为空，或者转换失败，返回默认值<br>
转换失败不会报错
@param value 被转换的值
@return 结果
|
[
"转换为BigInteger<br",
">",
"如果给定的值为空，或者转换失败，返回默认值<br",
">",
"转换失败不会报错"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/convert/impl/NumberConverter.java#L185-L196
|
train
|
Converts the value to a BigInteger.
|
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spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java
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JSONObject.optString
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java
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public String optString(String name, String fallback) {
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java#L586-L590
|
train
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Get the property as a string or fallback if the property is not present or not a String.
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/operators/Operator.java
|
Operator.setResources
|
@PublicEvolving
public void setResources(ResourceSpec minResources, ResourceSpec preferredResources) {
this.minResources = minResources;
this.preferredResources = preferredResources;
}
|
java
|
@PublicEvolving
public void setResources(ResourceSpec minResources, ResourceSpec preferredResources) {
this.minResources = minResources;
this.preferredResources = preferredResources;
}
|
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Sets the minimum and preferred resources for this contract instance. The resource denotes
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@param minResources The minimum resource of this operator.
@param preferredResources The preferred resource of this operator.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/Operator.java#L221-L225
|
train
|
Sets the minimum and preferred resources for the resource provider.
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java
|
Trie.parseText
|
@SuppressWarnings("unchecked")
public Collection<Emit> parseText(String text)
{
checkForConstructedFailureStates();
int position = 0;
State currentState = this.rootState;
List<Emit> collectedEmits = new ArrayList<Emit>();
for (int i = 0; i < text.length(); ++i)
{
currentState = getState(currentState, text.charAt(i));
storeEmits(position, currentState, collectedEmits);
++position;
}
if (!trieConfig.isAllowOverlaps())
{
IntervalTree intervalTree = new IntervalTree((List<Intervalable>) (List<?>) collectedEmits);
intervalTree.removeOverlaps((List<Intervalable>) (List<?>) collectedEmits);
}
if (trieConfig.remainLongest)
{
remainLongest(collectedEmits);
}
return collectedEmits;
}
|
java
|
@SuppressWarnings("unchecked")
public Collection<Emit> parseText(String text)
{
checkForConstructedFailureStates();
int position = 0;
State currentState = this.rootState;
List<Emit> collectedEmits = new ArrayList<Emit>();
for (int i = 0; i < text.length(); ++i)
{
currentState = getState(currentState, text.charAt(i));
storeEmits(position, currentState, collectedEmits);
++position;
}
if (!trieConfig.isAllowOverlaps())
{
IntervalTree intervalTree = new IntervalTree((List<Intervalable>) (List<?>) collectedEmits);
intervalTree.removeOverlaps((List<Intervalable>) (List<?>) collectedEmits);
}
if (trieConfig.remainLongest)
{
remainLongest(collectedEmits);
}
return collectedEmits;
}
|
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模式匹配
@param text 待匹配的文本
@return 匹配到的模式串
|
[
"模式匹配"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java#L135-L162
|
train
|
Parses the text into a Collection of Emit objects.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/Http2Exception.java
|
Http2Exception.streamError
|
public static Http2Exception streamError(int id, Http2Error error, Throwable cause,
String fmt, Object... args) {
return CONNECTION_STREAM_ID == id ?
Http2Exception.connectionError(error, cause, fmt, args) :
new StreamException(id, error, String.format(fmt, args), cause);
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|
java
|
public static Http2Exception streamError(int id, Http2Error error, Throwable cause,
String fmt, Object... args) {
return CONNECTION_STREAM_ID == id ?
Http2Exception.connectionError(error, cause, fmt, args) :
new StreamException(id, error, String.format(fmt, args), cause);
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/Http2Exception.java#L145-L150
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train
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Stream error.
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apache/flink
|
flink-filesystems/flink-hadoop-fs/src/main/java/org/apache/flink/runtime/fs/hdfs/HadoopRecoverableFsDataOutputStream.java
|
HadoopRecoverableFsDataOutputStream.waitUntilLeaseIsRevoked
|
private static boolean waitUntilLeaseIsRevoked(final FileSystem fs, final Path path) throws IOException {
Preconditions.checkState(fs instanceof DistributedFileSystem);
final DistributedFileSystem dfs = (DistributedFileSystem) fs;
dfs.recoverLease(path);
final Deadline deadline = Deadline.now().plus(Duration.ofMillis(LEASE_TIMEOUT));
final StopWatch sw = new StopWatch();
sw.start();
boolean isClosed = dfs.isFileClosed(path);
while (!isClosed && deadline.hasTimeLeft()) {
try {
Thread.sleep(500L);
} catch (InterruptedException e1) {
throw new IOException("Recovering the lease failed: ", e1);
}
isClosed = dfs.isFileClosed(path);
}
return isClosed;
}
|
java
|
private static boolean waitUntilLeaseIsRevoked(final FileSystem fs, final Path path) throws IOException {
Preconditions.checkState(fs instanceof DistributedFileSystem);
final DistributedFileSystem dfs = (DistributedFileSystem) fs;
dfs.recoverLease(path);
final Deadline deadline = Deadline.now().plus(Duration.ofMillis(LEASE_TIMEOUT));
final StopWatch sw = new StopWatch();
sw.start();
boolean isClosed = dfs.isFileClosed(path);
while (!isClosed && deadline.hasTimeLeft()) {
try {
Thread.sleep(500L);
} catch (InterruptedException e1) {
throw new IOException("Recovering the lease failed: ", e1);
}
isClosed = dfs.isFileClosed(path);
}
return isClosed;
}
|
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Called when resuming execution after a failure and waits until the lease
of the file we are resuming is free.
<p>The lease of the file we are resuming writing/committing to may still
belong to the process that failed previously and whose state we are
recovering.
@param path The path to the file we want to resume writing to.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-hadoop-fs/src/main/java/org/apache/flink/runtime/fs/hdfs/HadoopRecoverableFsDataOutputStream.java#L321-L342
|
train
|
Wait until the lease is revoked.
|
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/HiveCommandOperation.java
|
HiveCommandOperation.readResults
|
private List<String> readResults(int nLines) throws HiveSQLException {
if (resultReader == null) {
SessionState sessionState = getParentSession().getSessionState();
File tmp = sessionState.getTmpOutputFile();
try {
resultReader = new BufferedReader(new FileReader(tmp));
} catch (FileNotFoundException e) {
LOG.error("File " + tmp + " not found. ", e);
throw new HiveSQLException(e);
}
}
List<String> results = new ArrayList<String>();
for (int i = 0; i < nLines || nLines <= 0; ++i) {
try {
String line = resultReader.readLine();
if (line == null) {
// reached the end of the result file
break;
} else {
results.add(line);
}
} catch (IOException e) {
LOG.error("Reading temp results encountered an exception: ", e);
throw new HiveSQLException(e);
}
}
return results;
}
|
java
|
private List<String> readResults(int nLines) throws HiveSQLException {
if (resultReader == null) {
SessionState sessionState = getParentSession().getSessionState();
File tmp = sessionState.getTmpOutputFile();
try {
resultReader = new BufferedReader(new FileReader(tmp));
} catch (FileNotFoundException e) {
LOG.error("File " + tmp + " not found. ", e);
throw new HiveSQLException(e);
}
}
List<String> results = new ArrayList<String>();
for (int i = 0; i < nLines || nLines <= 0; ++i) {
try {
String line = resultReader.readLine();
if (line == null) {
// reached the end of the result file
break;
} else {
results.add(line);
}
} catch (IOException e) {
LOG.error("Reading temp results encountered an exception: ", e);
throw new HiveSQLException(e);
}
}
return results;
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/HiveCommandOperation.java#L170-L198
|
train
|
Read the results from the temp output file.
|
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networknt/light-4j
|
body/src/main/java/com/networknt/body/BodyHandler.java
|
BodyHandler.handleRequest
|
@Override
public void handleRequest(final HttpServerExchange exchange) throws Exception {
// parse the body to map or list if content type is application/json
String contentType = exchange.getRequestHeaders().getFirst(Headers.CONTENT_TYPE);
if (contentType != null) {
if (exchange.isInIoThread()) {
exchange.dispatch(this);
return;
}
exchange.startBlocking();
try {
if (contentType.startsWith("application/json")) {
InputStream inputStream = exchange.getInputStream();
String unparsedRequestBody = StringUtils.inputStreamToString(inputStream, StandardCharsets.UTF_8);
// attach the unparsed request body into exchange if the cacheRequestBody is enabled in body.yml
if (config.isCacheRequestBody()) {
exchange.putAttachment(REQUEST_BODY_STRING, unparsedRequestBody);
}
// attach the parsed request body into exchange if the body parser is enabled
attachJsonBody(exchange, unparsedRequestBody);
} else if (contentType.startsWith("multipart/form-data") || contentType.startsWith("application/x-www-form-urlencoded")) {
// attach the parsed request body into exchange if the body parser is enabled
attachFormDataBody(exchange);
}
} catch (IOException e) {
logger.error("IOException: ", e);
setExchangeStatus(exchange, CONTENT_TYPE_MISMATCH, contentType);
return;
}
}
Handler.next(exchange, next);
}
|
java
|
@Override
public void handleRequest(final HttpServerExchange exchange) throws Exception {
// parse the body to map or list if content type is application/json
String contentType = exchange.getRequestHeaders().getFirst(Headers.CONTENT_TYPE);
if (contentType != null) {
if (exchange.isInIoThread()) {
exchange.dispatch(this);
return;
}
exchange.startBlocking();
try {
if (contentType.startsWith("application/json")) {
InputStream inputStream = exchange.getInputStream();
String unparsedRequestBody = StringUtils.inputStreamToString(inputStream, StandardCharsets.UTF_8);
// attach the unparsed request body into exchange if the cacheRequestBody is enabled in body.yml
if (config.isCacheRequestBody()) {
exchange.putAttachment(REQUEST_BODY_STRING, unparsedRequestBody);
}
// attach the parsed request body into exchange if the body parser is enabled
attachJsonBody(exchange, unparsedRequestBody);
} else if (contentType.startsWith("multipart/form-data") || contentType.startsWith("application/x-www-form-urlencoded")) {
// attach the parsed request body into exchange if the body parser is enabled
attachFormDataBody(exchange);
}
} catch (IOException e) {
logger.error("IOException: ", e);
setExchangeStatus(exchange, CONTENT_TYPE_MISMATCH, contentType);
return;
}
}
Handler.next(exchange, next);
}
|
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Check the header starts with application/json and parse it into map or list
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@param exchange HttpServerExchange
@throws Exception Exception
|
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/body/src/main/java/com/networknt/body/BodyHandler.java#L86-L117
|
train
|
Handle the request.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/IOUtils.java
|
IOUtils.copyBytes
|
public static void copyBytes(final InputStream in, final OutputStream out, final boolean close) throws IOException {
copyBytes(in, out, BLOCKSIZE, close);
}
|
java
|
public static void copyBytes(final InputStream in, final OutputStream out, final boolean close) throws IOException {
copyBytes(in, out, BLOCKSIZE, close);
}
|
[
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Copies from one stream to another.
@param in
InputStream to read from
@param out
OutputStream to write to
@param close
whether or not close the InputStream and OutputStream at the
end. The streams are closed in the finally clause.
@throws IOException
thrown if an I/O error occurs while copying
|
[
"Copies",
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"one",
"stream",
"to",
"another",
"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/IOUtils.java#L107-L109
|
train
|
Copy bytes from the input stream to the output stream.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/client/RestTemplateBuilder.java
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RestTemplateBuilder.defaultMessageConverters
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public RestTemplateBuilder defaultMessageConverters() {
return new RestTemplateBuilder(this.detectRequestFactory, this.rootUri,
Collections.unmodifiableSet(
new LinkedHashSet<>(new RestTemplate().getMessageConverters())),
this.requestFactorySupplier, this.uriTemplateHandler, this.errorHandler,
this.basicAuthentication, this.restTemplateCustomizers,
this.requestFactoryCustomizer, this.interceptors);
}
|
java
|
public RestTemplateBuilder defaultMessageConverters() {
return new RestTemplateBuilder(this.detectRequestFactory, this.rootUri,
Collections.unmodifiableSet(
new LinkedHashSet<>(new RestTemplate().getMessageConverters())),
this.requestFactorySupplier, this.uriTemplateHandler, this.errorHandler,
this.basicAuthentication, this.restTemplateCustomizers,
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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train
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30526
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/ResourceGuard.java
|
ResourceGuard.close
|
@Override
public void close() {
synchronized (lock) {
closed = true;
while (leaseCount > 0) {
try {
lock.wait();
} catch (InterruptedException ignore) {
// Even on interruption, we cannot terminate the loop until all open leases are closed.
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}
}
}
|
java
|
@Override
public void close() {
synchronized (lock) {
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while (leaseCount > 0) {
try {
lock.wait();
} catch (InterruptedException ignore) {
// Even on interruption, we cannot terminate the loop until all open leases are closed.
}
}
}
}
|
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Closed the resource guard. This method will block until all calls to {@link #acquireResource()} have seen their
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/ResourceGuard.java#L101-L117
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train
|
Close the connection.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java
|
IoUtil.getPushBackReader
|
public static PushbackReader getPushBackReader(Reader reader, int pushBackSize) {
return (reader instanceof PushbackReader) ? (PushbackReader) reader : new PushbackReader(reader, pushBackSize);
}
|
java
|
public static PushbackReader getPushBackReader(Reader reader, int pushBackSize) {
return (reader instanceof PushbackReader) ? (PushbackReader) reader : new PushbackReader(reader, pushBackSize);
}
|
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获得{@link PushbackReader}<br>
如果是{@link PushbackReader}强转返回，否则新建
@param reader 普通Reader
@param pushBackSize 推后的byte数
@return {@link PushbackReader}
@since 3.1.0
|
[
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L352-L354
|
train
|
Get a PushbackReader instance.
|
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apache/spark
|
core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeInMemorySorter.java
|
UnsafeInMemorySorter.getSortedIterator
|
public UnsafeSorterIterator getSortedIterator() {
int offset = 0;
long start = System.nanoTime();
if (sortComparator != null) {
if (this.radixSortSupport != null) {
offset = RadixSort.sortKeyPrefixArray(
array, nullBoundaryPos, (pos - nullBoundaryPos) / 2L, 0, 7,
radixSortSupport.sortDescending(), radixSortSupport.sortSigned());
} else {
MemoryBlock unused = new MemoryBlock(
array.getBaseObject(),
array.getBaseOffset() + pos * 8L,
(array.size() - pos) * 8L);
LongArray buffer = new LongArray(unused);
Sorter<RecordPointerAndKeyPrefix, LongArray> sorter =
new Sorter<>(new UnsafeSortDataFormat(buffer));
sorter.sort(array, 0, pos / 2, sortComparator);
}
}
totalSortTimeNanos += System.nanoTime() - start;
if (nullBoundaryPos > 0) {
assert radixSortSupport != null : "Nulls are only stored separately with radix sort";
LinkedList<UnsafeSorterIterator> queue = new LinkedList<>();
// The null order is either LAST or FIRST, regardless of sorting direction (ASC|DESC)
if (radixSortSupport.nullsFirst()) {
queue.add(new SortedIterator(nullBoundaryPos / 2, 0));
queue.add(new SortedIterator((pos - nullBoundaryPos) / 2, offset));
} else {
queue.add(new SortedIterator((pos - nullBoundaryPos) / 2, offset));
queue.add(new SortedIterator(nullBoundaryPos / 2, 0));
}
return new UnsafeExternalSorter.ChainedIterator(queue);
} else {
return new SortedIterator(pos / 2, offset);
}
}
|
java
|
public UnsafeSorterIterator getSortedIterator() {
int offset = 0;
long start = System.nanoTime();
if (sortComparator != null) {
if (this.radixSortSupport != null) {
offset = RadixSort.sortKeyPrefixArray(
array, nullBoundaryPos, (pos - nullBoundaryPos) / 2L, 0, 7,
radixSortSupport.sortDescending(), radixSortSupport.sortSigned());
} else {
MemoryBlock unused = new MemoryBlock(
array.getBaseObject(),
array.getBaseOffset() + pos * 8L,
(array.size() - pos) * 8L);
LongArray buffer = new LongArray(unused);
Sorter<RecordPointerAndKeyPrefix, LongArray> sorter =
new Sorter<>(new UnsafeSortDataFormat(buffer));
sorter.sort(array, 0, pos / 2, sortComparator);
}
}
totalSortTimeNanos += System.nanoTime() - start;
if (nullBoundaryPos > 0) {
assert radixSortSupport != null : "Nulls are only stored separately with radix sort";
LinkedList<UnsafeSorterIterator> queue = new LinkedList<>();
// The null order is either LAST or FIRST, regardless of sorting direction (ASC|DESC)
if (radixSortSupport.nullsFirst()) {
queue.add(new SortedIterator(nullBoundaryPos / 2, 0));
queue.add(new SortedIterator((pos - nullBoundaryPos) / 2, offset));
} else {
queue.add(new SortedIterator((pos - nullBoundaryPos) / 2, offset));
queue.add(new SortedIterator(nullBoundaryPos / 2, 0));
}
return new UnsafeExternalSorter.ChainedIterator(queue);
} else {
return new SortedIterator(pos / 2, offset);
}
}
|
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeInMemorySorter.java#L344-L380
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train
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/pregel/VertexCentricIteration.java
|
VertexCentricIteration.setUpIteration
|
private void setUpIteration(DeltaIteration<?, ?> iteration) {
// set up the iteration operator
if (this.configuration != null) {
iteration.name(this.configuration.getName("Vertex-centric iteration (" + computeFunction + ")"));
iteration.parallelism(this.configuration.getParallelism());
iteration.setSolutionSetUnManaged(this.configuration.isSolutionSetUnmanagedMemory());
// register all aggregators
for (Map.Entry<String, Aggregator<?>> entry : this.configuration.getAggregators().entrySet()) {
iteration.registerAggregator(entry.getKey(), entry.getValue());
}
}
else {
// no configuration provided; set default name
iteration.name("Vertex-centric iteration (" + computeFunction + ")");
}
}
|
java
|
private void setUpIteration(DeltaIteration<?, ?> iteration) {
// set up the iteration operator
if (this.configuration != null) {
iteration.name(this.configuration.getName("Vertex-centric iteration (" + computeFunction + ")"));
iteration.parallelism(this.configuration.getParallelism());
iteration.setSolutionSetUnManaged(this.configuration.isSolutionSetUnmanagedMemory());
// register all aggregators
for (Map.Entry<String, Aggregator<?>> entry : this.configuration.getAggregators().entrySet()) {
iteration.registerAggregator(entry.getKey(), entry.getValue());
}
}
else {
// no configuration provided; set default name
iteration.name("Vertex-centric iteration (" + computeFunction + ")");
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/pregel/VertexCentricIteration.java#L443-L461
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train
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Sets up the iteration operator.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/template/engine/TemplateFactory.java
|
TemplateFactory.doCreate
|
private static TemplateEngine doCreate(TemplateConfig config) {
try {
return new BeetlEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new FreemarkerEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new VelocityEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new RythmEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new EnjoyEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new ThymeleafEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
throw new TemplateException("No template found ! Please add one of template jar to your project !");
}
|
java
|
private static TemplateEngine doCreate(TemplateConfig config) {
try {
return new BeetlEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new FreemarkerEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new VelocityEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new RythmEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new EnjoyEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
try {
return new ThymeleafEngine(config);
} catch (NoClassDefFoundError e) {
// ignore
}
throw new TemplateException("No template found ! Please add one of template jar to your project !");
}
|
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根据用户引入的模板引擎jar，自动创建对应的模板引擎对象
@param config 模板配置，包括编码、模板文件path等信息
@return {@link Engine}
|
[
"根据用户引入的模板引擎jar，自动创建对应的模板引擎对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/template/engine/TemplateFactory.java#L42-L74
|
train
|
Creates a TemplateEngine object from the given TemplateConfig.
|
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apache/flink
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flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryRow.java
|
BinaryRow.isInFixedLengthPart
|
public static boolean isInFixedLengthPart(InternalType type) {
if (type instanceof DecimalType) {
return ((DecimalType) type).precision() <= DecimalType.MAX_COMPACT_PRECISION;
} else {
return MUTABLE_FIELD_TYPES.contains(type);
}
}
|
java
|
public static boolean isInFixedLengthPart(InternalType type) {
if (type instanceof DecimalType) {
return ((DecimalType) type).precision() <= DecimalType.MAX_COMPACT_PRECISION;
} else {
return MUTABLE_FIELD_TYPES.contains(type);
}
}
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If it is a fixed-length field, we can call this BinaryRow's setXX method for in-place updates.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryRow.java#L98-L104
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train
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Returns true if the given type is a fixed length type.
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java
|
ClusterAnalyzer.evaluate
|
public static double evaluate(String folderPath, String algorithm)
{
if (folderPath == null) throw new IllegalArgumentException("参数 folderPath == null");
File root = new File(folderPath);
if (!root.exists()) throw new IllegalArgumentException(String.format("目录 %s 不存在", root.getAbsolutePath()));
if (!root.isDirectory())
throw new IllegalArgumentException(String.format("目录 %s 不是一个目录", root.getAbsolutePath()));
ClusterAnalyzer<String> analyzer = new ClusterAnalyzer<String>();
File[] folders = root.listFiles();
if (folders == null) return 1.;
logger.start("根目录:%s\n加载中...\n", folderPath);
int docSize = 0;
int[] ni = new int[folders.length];
String[] cat = new String[folders.length];
int offset = 0;
for (File folder : folders)
{
if (folder.isFile()) continue;
File[] files = folder.listFiles();
if (files == null) continue;
String category = folder.getName();
cat[offset] = category;
logger.out("[%s]...", category);
int b = 0;
int e = files.length;
int logEvery = (int) Math.ceil((e - b) / 10000f);
for (int i = b; i < e; i++)
{
analyzer.addDocument(folder.getName() + " " + files[i].getName(), IOUtil.readTxt(files[i].getAbsolutePath()));
if (i % logEvery == 0)
{
logger.out("%c[%s]...%.2f%%", 13, category, MathUtility.percentage(i - b + 1, e - b));
}
++docSize;
++ni[offset];
}
logger.out(" %d 篇文档\n", e - b);
++offset;
}
logger.finish(" 加载了 %d 个类目,共 %d 篇文档\n", folders.length, docSize);
logger.start(algorithm + "聚类中...");
List<Set<String>> clusterList = algorithm.replaceAll("[-\\s]", "").toLowerCase().equals("kmeans") ?
analyzer.kmeans(ni.length) : analyzer.repeatedBisection(ni.length);
logger.finish(" 完毕。\n");
double[] fi = new double[ni.length];
for (int i = 0; i < ni.length; i++)
{
for (Set<String> j : clusterList)
{
int nij = 0;
for (String d : j)
{
if (d.startsWith(cat[i]))
++nij;
}
if (nij == 0) continue;
double p = nij / (double) (j.size());
double r = nij / (double) (ni[i]);
double f = 2 * p * r / (p + r);
fi[i] = Math.max(fi[i], f);
}
}
double f = 0;
for (int i = 0; i < fi.length; i++)
{
f += fi[i] * ni[i] / docSize;
}
return f;
}
|
java
|
public static double evaluate(String folderPath, String algorithm)
{
if (folderPath == null) throw new IllegalArgumentException("参数 folderPath == null");
File root = new File(folderPath);
if (!root.exists()) throw new IllegalArgumentException(String.format("目录 %s 不存在", root.getAbsolutePath()));
if (!root.isDirectory())
throw new IllegalArgumentException(String.format("目录 %s 不是一个目录", root.getAbsolutePath()));
ClusterAnalyzer<String> analyzer = new ClusterAnalyzer<String>();
File[] folders = root.listFiles();
if (folders == null) return 1.;
logger.start("根目录:%s\n加载中...\n", folderPath);
int docSize = 0;
int[] ni = new int[folders.length];
String[] cat = new String[folders.length];
int offset = 0;
for (File folder : folders)
{
if (folder.isFile()) continue;
File[] files = folder.listFiles();
if (files == null) continue;
String category = folder.getName();
cat[offset] = category;
logger.out("[%s]...", category);
int b = 0;
int e = files.length;
int logEvery = (int) Math.ceil((e - b) / 10000f);
for (int i = b; i < e; i++)
{
analyzer.addDocument(folder.getName() + " " + files[i].getName(), IOUtil.readTxt(files[i].getAbsolutePath()));
if (i % logEvery == 0)
{
logger.out("%c[%s]...%.2f%%", 13, category, MathUtility.percentage(i - b + 1, e - b));
}
++docSize;
++ni[offset];
}
logger.out(" %d 篇文档\n", e - b);
++offset;
}
logger.finish(" 加载了 %d 个类目,共 %d 篇文档\n", folders.length, docSize);
logger.start(algorithm + "聚类中...");
List<Set<String>> clusterList = algorithm.replaceAll("[-\\s]", "").toLowerCase().equals("kmeans") ?
analyzer.kmeans(ni.length) : analyzer.repeatedBisection(ni.length);
logger.finish(" 完毕。\n");
double[] fi = new double[ni.length];
for (int i = 0; i < ni.length; i++)
{
for (Set<String> j : clusterList)
{
int nij = 0;
for (String d : j)
{
if (d.startsWith(cat[i]))
++nij;
}
if (nij == 0) continue;
double p = nij / (double) (j.size());
double r = nij / (double) (ni[i]);
double f = 2 * p * r / (p + r);
fi[i] = Math.max(fi[i], f);
}
}
double f = 0;
for (int i = 0; i < fi.length; i++)
{
f += fi[i] * ni[i] / docSize;
}
return f;
}
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] |
训练模型
@param folderPath 分类语料的根目录.目录必须满足如下结构:<br>
根目录<br>
├── 分类A<br>
│ └── 1.txt<br>
│ └── 2.txt<br>
│ └── 3.txt<br>
├── 分类B<br>
│ └── 1.txt<br>
│ └── ...<br>
└── ...<br>
文件不一定需要用数字命名,也不需要以txt作为后缀名,但一定需要是文本文件.
@param algorithm kmeans 或 repeated bisection
@throws IOException 任何可能的IO异常
|
[
"训练模型"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java#L366-L436
|
train
|
Evaluate the n - grams of a folder.
|
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netty/netty
|
common/src/main/java/io/netty/util/concurrent/SingleThreadEventExecutor.java
|
SingleThreadEventExecutor.runAllTasks
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protected boolean runAllTasks() {
assert inEventLoop();
boolean fetchedAll;
boolean ranAtLeastOne = false;
do {
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if (runAllTasksFrom(taskQueue)) {
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if (ranAtLeastOne) {
lastExecutionTime = ScheduledFutureTask.nanoTime();
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afterRunningAllTasks();
return ranAtLeastOne;
}
|
java
|
protected boolean runAllTasks() {
assert inEventLoop();
boolean fetchedAll;
boolean ranAtLeastOne = false;
do {
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ranAtLeastOne = true;
}
} while (!fetchedAll); // keep on processing until we fetched all scheduled tasks.
if (ranAtLeastOne) {
lastExecutionTime = ScheduledFutureTask.nanoTime();
}
afterRunningAllTasks();
return ranAtLeastOne;
}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/concurrent/SingleThreadEventExecutor.java#L349-L366
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train
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netty/netty
|
codec/src/main/java/io/netty/handler/codec/compression/Snappy.java
|
Snappy.validateChecksum
|
static void validateChecksum(int expectedChecksum, ByteBuf data, int offset, int length) {
final int actualChecksum = calculateChecksum(data, offset, length);
if (actualChecksum != expectedChecksum) {
throw new DecompressionException(
"mismatching checksum: " + Integer.toHexString(actualChecksum) +
" (expected: " + Integer.toHexString(expectedChecksum) + ')');
}
}
|
java
|
static void validateChecksum(int expectedChecksum, ByteBuf data, int offset, int length) {
final int actualChecksum = calculateChecksum(data, offset, length);
if (actualChecksum != expectedChecksum) {
throw new DecompressionException(
"mismatching checksum: " + Integer.toHexString(actualChecksum) +
" (expected: " + Integer.toHexString(expectedChecksum) + ')');
}
}
|
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Computes the CRC32C checksum of the supplied data, performs the "mask" operation
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@param expectedChecksum The checksum decoded from the stream to compare against
@param data The input data to calculate the CRC32C checksum of
@throws DecompressionException If the calculated and supplied checksums do not match
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/compression/Snappy.java#L638-L645
|
train
|
Validate the checksum.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronLexicalAnalyzer.java
|
PerceptronLexicalAnalyzer.namedEntityRecognize
|
public String[] namedEntityRecognize(String[] wordArray, String[] posArray)
{
if (neRecognizer == null)
{
throw new IllegalStateException("未提供命名实体识别模型");
}
return recognize(wordArray, posArray);
}
|
java
|
public String[] namedEntityRecognize(String[] wordArray, String[] posArray)
{
if (neRecognizer == null)
{
throw new IllegalStateException("未提供命名实体识别模型");
}
return recognize(wordArray, posArray);
}
|
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命名实体识别
@param wordArray
@param posArray
@return
|
[
"命名实体识别"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronLexicalAnalyzer.java#L132-L139
|
train
|
recognize - returns a list of named entities
|
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30526
] |
apache/flink
|
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStream.java
|
PatternStream.select
|
@Deprecated
public <L, R> SingleOutputStreamOperator<Either<L, R>> select(
final PatternTimeoutFunction<T, L> patternTimeoutFunction,
final PatternSelectFunction<T, R> patternSelectFunction) {
final TypeInformation<R> mainTypeInfo = TypeExtractor.getUnaryOperatorReturnType(
patternSelectFunction,
PatternSelectFunction.class,
0,
1,
TypeExtractor.NO_INDEX,
builder.getInputType(),
null,
false);
final TypeInformation<L> timeoutTypeInfo = TypeExtractor.getUnaryOperatorReturnType(
patternTimeoutFunction,
PatternTimeoutFunction.class,
0,
1,
TypeExtractor.NO_INDEX,
builder.getInputType(),
null,
false);
final TypeInformation<Either<L, R>> outTypeInfo = new EitherTypeInfo<>(timeoutTypeInfo, mainTypeInfo);
final OutputTag<L> outputTag = new OutputTag<>(UUID.randomUUID().toString(), timeoutTypeInfo);
final PatternProcessFunction<T, R> processFunction =
fromSelect(builder.clean(patternSelectFunction))
.withTimeoutHandler(outputTag, builder.clean(patternTimeoutFunction))
.build();
final SingleOutputStreamOperator<R> mainStream = process(processFunction, mainTypeInfo);
final DataStream<L> timedOutStream = mainStream.getSideOutput(outputTag);
return mainStream
.connect(timedOutStream)
.map(new CoMapTimeout<>())
.returns(outTypeInfo);
}
|
java
|
@Deprecated
public <L, R> SingleOutputStreamOperator<Either<L, R>> select(
final PatternTimeoutFunction<T, L> patternTimeoutFunction,
final PatternSelectFunction<T, R> patternSelectFunction) {
final TypeInformation<R> mainTypeInfo = TypeExtractor.getUnaryOperatorReturnType(
patternSelectFunction,
PatternSelectFunction.class,
0,
1,
TypeExtractor.NO_INDEX,
builder.getInputType(),
null,
false);
final TypeInformation<L> timeoutTypeInfo = TypeExtractor.getUnaryOperatorReturnType(
patternTimeoutFunction,
PatternTimeoutFunction.class,
0,
1,
TypeExtractor.NO_INDEX,
builder.getInputType(),
null,
false);
final TypeInformation<Either<L, R>> outTypeInfo = new EitherTypeInfo<>(timeoutTypeInfo, mainTypeInfo);
final OutputTag<L> outputTag = new OutputTag<>(UUID.randomUUID().toString(), timeoutTypeInfo);
final PatternProcessFunction<T, R> processFunction =
fromSelect(builder.clean(patternSelectFunction))
.withTimeoutHandler(outputTag, builder.clean(patternTimeoutFunction))
.build();
final SingleOutputStreamOperator<R> mainStream = process(processFunction, mainTypeInfo);
final DataStream<L> timedOutStream = mainStream.getSideOutput(outputTag);
return mainStream
.connect(timedOutStream)
.map(new CoMapTimeout<>())
.returns(outTypeInfo);
}
|
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Applies a select function to the detected pattern sequence. For each pattern sequence the
provided {@link PatternSelectFunction} is called. The pattern select function can produce
exactly one resulting element.
<p>Applies a timeout function to a partial pattern sequence which has timed out. For each
partial pattern sequence the provided {@link PatternTimeoutFunction} is called. The pattern
timeout function can produce exactly one resulting element.
@param patternTimeoutFunction The pattern timeout function which is called for each partial
pattern sequence which has timed out.
@param patternSelectFunction The pattern select function which is called for each detected
pattern sequence.
@param <L> Type of the resulting timeout elements
@param <R> Type of the resulting elements
@deprecated Use {@link PatternStream#select(OutputTag, PatternTimeoutFunction, PatternSelectFunction)}
that returns timed out events as a side-output
@return {@link DataStream} which contains the resulting elements or the resulting timeout
elements wrapped in an {@link Either} type.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStream.java#L275-L316
|
train
|
Select a sequence of two data streams using a pattern timeout function.
|
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netty/netty
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buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java
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CompositeByteBuf.removeComponents
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public CompositeByteBuf removeComponents(int cIndex, int numComponents) {
checkComponentIndex(cIndex, numComponents);
if (numComponents == 0) {
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int endIndex = cIndex + numComponents;
boolean needsUpdate = false;
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removeCompRange(cIndex, endIndex);
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updateComponentOffsets(cIndex);
}
return this;
}
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java
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public CompositeByteBuf removeComponents(int cIndex, int numComponents) {
checkComponentIndex(cIndex, numComponents);
if (numComponents == 0) {
return this;
}
int endIndex = cIndex + numComponents;
boolean needsUpdate = false;
for (int i = cIndex; i < endIndex; ++i) {
Component c = components[i];
if (c.length() > 0) {
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c.free();
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removeCompRange(cIndex, endIndex);
if (needsUpdate) {
// Only need to call updateComponentOffsets if the length was > 0
updateComponentOffsets(cIndex);
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return this;
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java#L599-L624
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train
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Removes the specified number of components from this CompositeByteBuf.
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30526
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java
|
Decimal.sround
|
public static Decimal sround(Decimal b0, int r) {
if (r >= b0.scale) {
return b0;
}
BigDecimal b2 = b0.toBigDecimal().movePointRight(r)
.setScale(0, RoundingMode.HALF_UP)
.movePointLeft(r);
int p = b0.precision;
int s = b0.scale;
if (r < 0) {
return fromBigDecimal(b2, Math.min(38, 1 + p - s), 0);
} else { // 0 <= r < s
return fromBigDecimal(b2, 1 + p - s + r, r);
}
}
|
java
|
public static Decimal sround(Decimal b0, int r) {
if (r >= b0.scale) {
return b0;
}
BigDecimal b2 = b0.toBigDecimal().movePointRight(r)
.setScale(0, RoundingMode.HALF_UP)
.movePointLeft(r);
int p = b0.precision;
int s = b0.scale;
if (r < 0) {
return fromBigDecimal(b2, Math.min(38, 1 + p - s), 0);
} else { // 0 <= r < s
return fromBigDecimal(b2, 1 + p - s + r, r);
}
}
|
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SQL <code>ROUND</code> operator applied to BigDecimal values.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java#L449-L464
|
train
|
Scales a decimal to a given number of decimals.
|
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/util/StringUtil.java
|
StringUtil.isLongValue
|
public static boolean isLongValue(final String value) {
try {
Long.parseLong(value);
return true;
} catch (final NumberFormatException ex) {
return false;
}
}
|
java
|
public static boolean isLongValue(final String value) {
try {
Long.parseLong(value);
return true;
} catch (final NumberFormatException ex) {
return false;
}
}
|
[
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"catch",
"(",
"final",
"NumberFormatException",
"ex",
")",
"{",
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"false",
";",
"}",
"}"
] |
Judge is long value or not.
@param value to be judged string value
@return is long value or not
|
[
"Judge",
"is",
"long",
"value",
"or",
"not",
"."
] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/util/StringUtil.java#L62-L69
|
train
|
Check if a String is a Long value.
|
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SeleniumHQ/selenium
|
java/server/src/org/openqa/grid/web/servlet/console/DefaultProxyHtmlRenderer.java
|
DefaultProxyHtmlRenderer.getPlatform
|
public static String getPlatform(RemoteProxy proxy) {
if (proxy.getTestSlots().size() == 0) {
return "Unknown";
}
Platform res = getPlatform(proxy.getTestSlots().get(0));
for (TestSlot slot : proxy.getTestSlots()) {
Platform tmp = getPlatform(slot);
if (tmp != res) {
return "mixed OS";
}
res = tmp;
}
if (res == null) {
return "not specified";
}
return res.toString();
}
|
java
|
public static String getPlatform(RemoteProxy proxy) {
if (proxy.getTestSlots().size() == 0) {
return "Unknown";
}
Platform res = getPlatform(proxy.getTestSlots().get(0));
for (TestSlot slot : proxy.getTestSlots()) {
Platform tmp = getPlatform(slot);
if (tmp != res) {
return "mixed OS";
}
res = tmp;
}
if (res == null) {
return "not specified";
}
return res.toString();
}
|
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return the platform for the proxy. It should be the same for all slots of the proxy, so checking that.
@param proxy remote proxy
@return Either the platform name, "Unknown", "mixed OS", or "not specified".
|
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/server/src/org/openqa/grid/web/servlet/console/DefaultProxyHtmlRenderer.java#L191-L208
|
train
|
Get the platform of the remote proxy.
|
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apache/incubator-shardingsphere
|
sharding-jdbc/sharding-jdbc-core/src/main/java/org/apache/shardingsphere/shardingjdbc/api/ShardingDataSourceFactory.java
|
ShardingDataSourceFactory.createDataSource
|
public static DataSource createDataSource(
final Map<String, DataSource> dataSourceMap, final ShardingRuleConfiguration shardingRuleConfig, final Properties props) throws SQLException {
return new ShardingDataSource(dataSourceMap, new ShardingRule(shardingRuleConfig, dataSourceMap.keySet()), props);
}
|
java
|
public static DataSource createDataSource(
final Map<String, DataSource> dataSourceMap, final ShardingRuleConfiguration shardingRuleConfig, final Properties props) throws SQLException {
return new ShardingDataSource(dataSourceMap, new ShardingRule(shardingRuleConfig, dataSourceMap.keySet()), props);
}
|
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Create sharding data source.
@param dataSourceMap data source map
@param shardingRuleConfig rule configuration for databases and tables sharding
@param props properties for data source
@return sharding data source
@throws SQLException SQL exception
|
[
"Create",
"sharding",
"data",
"source",
"."
] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-jdbc/sharding-jdbc-core/src/main/java/org/apache/shardingsphere/shardingjdbc/api/ShardingDataSourceFactory.java#L48-L51
|
train
|
Create DataSource.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java
|
NumberUtil.parseNumber
|
public static Number parseNumber(String numberStr) {
numberStr = removeNumberFlag(numberStr);
try {
return NumberFormat.getInstance().parse(numberStr);
} catch (ParseException e) {
throw new UtilException(e);
}
}
|
java
|
public static Number parseNumber(String numberStr) {
numberStr = removeNumberFlag(numberStr);
try {
return NumberFormat.getInstance().parse(numberStr);
} catch (ParseException e) {
throw new UtilException(e);
}
}
|
[
"public",
"static",
"Number",
"parseNumber",
"(",
"String",
"numberStr",
")",
"{",
"numberStr",
"=",
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"numberStr",
")",
";",
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"e",
")",
"{",
"throw",
"new",
"UtilException",
"(",
"e",
")",
";",
"}",
"}"
] |
将指定字符串转换为{@link Number} 对象
@param numberStr Number字符串
@return Number对象
@since 4.1.15
|
[
"将指定字符串转换为",
"{",
"@link",
"Number",
"}",
"对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L2185-L2192
|
train
|
Parses a number string.
|
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
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DataStream.process
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@Internal
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ProcessFunction<T, R> processFunction,
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ProcessOperator<T, R> operator = new ProcessOperator<>(clean(processFunction));
return transform("Process", outputType, operator);
}
|
java
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@Internal
public <R> SingleOutputStreamOperator<R> process(
ProcessFunction<T, R> processFunction,
TypeInformation<R> outputType) {
ProcessOperator<T, R> operator = new ProcessOperator<>(clean(processFunction));
return transform("Process", outputType, operator);
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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apache/flink
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flink-core/src/main/java/org/apache/flink/core/fs/Path.java
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Path.depth
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public int depth() {
String path = uri.getPath();
int depth = 0;
int slash = path.length() == 1 && path.charAt(0) == '/' ? -1 : 0;
while (slash != -1) {
depth++;
slash = path.indexOf(SEPARATOR, slash + 1);
}
return depth;
}
|
java
|
public int depth() {
String path = uri.getPath();
int depth = 0;
int slash = path.length() == 1 && path.charAt(0) == '/' ? -1 : 0;
while (slash != -1) {
depth++;
slash = path.indexOf(SEPARATOR, slash + 1);
}
return depth;
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/core/fs/Path.java#L413-L422
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train
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Returns the depth of the path.
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/utils/RequiredParameters.java
|
RequiredParameters.applyTo
|
public ParameterTool applyTo(ParameterTool parameterTool) throws RequiredParametersException {
List<String> missingArguments = new LinkedList<>();
HashMap<String, String> newParameters = new HashMap<>(parameterTool.toMap());
for (Option o : data.values()) {
if (newParameters.containsKey(o.getName())) {
if (Objects.equals(newParameters.get(o.getName()), ParameterTool.NO_VALUE_KEY)) {
// the parameter has been passed, but no value, check if there is a default value
checkAndApplyDefaultValue(o, newParameters);
} else {
// a value has been passed in the parameterTool, now check if it adheres to all constraints
checkAmbiguousValues(o, newParameters);
checkIsCastableToDefinedType(o, newParameters);
checkChoices(o, newParameters);
}
} else {
// check if there is a default name or a value passed for a possibly defined alternative name.
if (hasNoDefaultValueAndNoValuePassedOnAlternativeName(o, newParameters)) {
missingArguments.add(o.getName());
}
}
}
if (!missingArguments.isEmpty()) {
throw new RequiredParametersException(this.missingArgumentsText(missingArguments), missingArguments);
}
return ParameterTool.fromMap(newParameters);
}
|
java
|
public ParameterTool applyTo(ParameterTool parameterTool) throws RequiredParametersException {
List<String> missingArguments = new LinkedList<>();
HashMap<String, String> newParameters = new HashMap<>(parameterTool.toMap());
for (Option o : data.values()) {
if (newParameters.containsKey(o.getName())) {
if (Objects.equals(newParameters.get(o.getName()), ParameterTool.NO_VALUE_KEY)) {
// the parameter has been passed, but no value, check if there is a default value
checkAndApplyDefaultValue(o, newParameters);
} else {
// a value has been passed in the parameterTool, now check if it adheres to all constraints
checkAmbiguousValues(o, newParameters);
checkIsCastableToDefinedType(o, newParameters);
checkChoices(o, newParameters);
}
} else {
// check if there is a default name or a value passed for a possibly defined alternative name.
if (hasNoDefaultValueAndNoValuePassedOnAlternativeName(o, newParameters)) {
missingArguments.add(o.getName());
}
}
}
if (!missingArguments.isEmpty()) {
throw new RequiredParametersException(this.missingArgumentsText(missingArguments), missingArguments);
}
return ParameterTool.fromMap(newParameters);
}
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Check for all required parameters defined:
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- does the type of the parameter match the one defined in RequiredParameters
- does the value provided in the parameterTool adhere to the choices defined in the option.
<p>If any check fails, a RequiredParametersException is thrown
@param parameterTool - parameters supplied by the user.
@return the updated ParameterTool containing all the required parameters
@throws RequiredParametersException if any of the specified checks fail
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/RequiredParameters.java#L89-L117
|
train
|
Apply this option to the given parameter tool.
|
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30526
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/amqp/RabbitProperties.java
|
RabbitProperties.determineVirtualHost
|
public String determineVirtualHost() {
if (CollectionUtils.isEmpty(this.parsedAddresses)) {
return getVirtualHost();
}
Address address = this.parsedAddresses.get(0);
return (address.virtualHost != null) ? address.virtualHost : getVirtualHost();
}
|
java
|
public String determineVirtualHost() {
if (CollectionUtils.isEmpty(this.parsedAddresses)) {
return getVirtualHost();
}
Address address = this.parsedAddresses.get(0);
return (address.virtualHost != null) ? address.virtualHost : getVirtualHost();
}
|
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If addresses have been set and the first address has a virtual host it is returned.
Otherwise returns the result of calling {@code getVirtualHost()}.
@return the virtual host or {@code null}
@see #setAddresses(String)
@see #getVirtualHost()
|
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/amqp/RabbitProperties.java#L255-L261
|
train
|
Determine the virtual host.
|
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apache/spark
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sql/hive-thriftserver/src/gen/java/org/apache/hive/service/cli/thrift/TGetInfoReq.java
|
TGetInfoReq.isSet
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public boolean isSet(_Fields field) {
if (field == null) {
throw new IllegalArgumentException();
}
switch (field) {
case SESSION_HANDLE:
return isSetSessionHandle();
case INFO_TYPE:
return isSetInfoType();
}
throw new IllegalStateException();
}
|
java
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public boolean isSet(_Fields field) {
if (field == null) {
throw new IllegalArgumentException();
}
switch (field) {
case SESSION_HANDLE:
return isSetSessionHandle();
case INFO_TYPE:
return isSetInfoType();
}
throw new IllegalStateException();
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/gen/java/org/apache/hive/service/cli/thrift/TGetInfoReq.java#L248-L260
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train
|
Checks if the specified field is set to a value of a CRAsCTYPE object.
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java
|
NumberUtil.div
|
public static BigDecimal div(String v1, String v2) {
return div(v1, v2, DEFAUT_DIV_SCALE);
}
|
java
|
public static BigDecimal div(String v1, String v2) {
return div(v1, v2, DEFAUT_DIV_SCALE);
}
|
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] |
提供(相对)精确的除法运算,当发生除不尽的情况的时候,精确到小数点后10位,后面的四舍五入
@param v1 被除数
@param v2 除数
@return 两个参数的商
|
[
"提供",
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"精确的除法运算",
"当发生除不尽的情况的时候",
"精确到小数点后10位",
"后面的四舍五入"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L550-L552
|
train
|
Divide two numbers.
|
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netty/netty
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codec/src/main/java/io/netty/handler/codec/DateFormatter.java
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DateFormatter.parseHttpDate
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public static Date parseHttpDate(CharSequence txt, int start, int end) {
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if (length == 0) {
return null;
} else if (length < 0) {
throw new IllegalArgumentException("Can't have end < start");
} else if (length > 64) {
throw new IllegalArgumentException("Can't parse more than 64 chars," +
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}
return formatter().parse0(checkNotNull(txt, "txt"), start, end);
}
|
java
|
public static Date parseHttpDate(CharSequence txt, int start, int end) {
int length = end - start;
if (length == 0) {
return null;
} else if (length < 0) {
throw new IllegalArgumentException("Can't have end < start");
} else if (length > 64) {
throw new IllegalArgumentException("Can't parse more than 64 chars," +
"looks like a user error or a malformed header");
}
return formatter().parse0(checkNotNull(txt, "txt"), start, end);
}
|
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Parse some text into a {@link Date}, according to RFC6265
@param txt text to parse
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@param end the end index inside {@code txt}
@return a {@link Date}, or null if text couldn't be parsed
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[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/DateFormatter.java#L95-L106
|
train
|
Parse a date from a string of text.
|
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netty/netty
|
transport/src/main/java/io/netty/channel/ChannelOutboundBuffer.java
|
ChannelOutboundBuffer.addMessage
|
public void addMessage(Object msg, int size, ChannelPromise promise) {
Entry entry = Entry.newInstance(msg, size, total(msg), promise);
if (tailEntry == null) {
flushedEntry = null;
} else {
Entry tail = tailEntry;
tail.next = entry;
}
tailEntry = entry;
if (unflushedEntry == null) {
unflushedEntry = entry;
}
// increment pending bytes after adding message to the unflushed arrays.
// See https://github.com/netty/netty/issues/1619
incrementPendingOutboundBytes(entry.pendingSize, false);
}
|
java
|
public void addMessage(Object msg, int size, ChannelPromise promise) {
Entry entry = Entry.newInstance(msg, size, total(msg), promise);
if (tailEntry == null) {
flushedEntry = null;
} else {
Entry tail = tailEntry;
tail.next = entry;
}
tailEntry = entry;
if (unflushedEntry == null) {
unflushedEntry = entry;
}
// increment pending bytes after adding message to the unflushed arrays.
// See https://github.com/netty/netty/issues/1619
incrementPendingOutboundBytes(entry.pendingSize, false);
}
|
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Add given message to this {@link ChannelOutboundBuffer}. The given {@link ChannelPromise} will be notified once
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|
[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/ChannelOutboundBuffer.java#L112-L128
|
train
|
Add a message to the cache.
|
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looly/hutool
|
hutool-socket/src/main/java/cn/hutool/socket/aio/AioSession.java
|
AioSession.closeIn
|
public AioSession closeIn() {
if (null != this.channel) {
try {
this.channel.shutdownInput();
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
return this;
}
|
java
|
public AioSession closeIn() {
if (null != this.channel) {
try {
this.channel.shutdownInput();
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
return this;
}
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关闭输出
@return this
|
[
"关闭输出"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-socket/src/main/java/cn/hutool/socket/aio/AioSession.java#L163-L172
|
train
|
Closes the input channel.
|
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networknt/light-4j
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metrics/src/main/java/io/dropwizard/metrics/InstrumentedExecutors.java
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InstrumentedExecutors.newScheduledThreadPool
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public static InstrumentedScheduledExecutorService newScheduledThreadPool(
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return new InstrumentedScheduledExecutorService(
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}
|
java
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public static InstrumentedScheduledExecutorService newScheduledThreadPool(
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
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https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/metrics/src/main/java/io/dropwizard/metrics/InstrumentedExecutors.java#L418-L422
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train
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30526
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/SpringApplication.java
|
SpringApplication.configurePropertySources
|
protected void configurePropertySources(ConfigurableEnvironment environment,
String[] args) {
MutablePropertySources sources = environment.getPropertySources();
if (this.defaultProperties != null && !this.defaultProperties.isEmpty()) {
sources.addLast(
new MapPropertySource("defaultProperties", this.defaultProperties));
}
if (this.addCommandLineProperties && args.length > 0) {
String name = CommandLinePropertySource.COMMAND_LINE_PROPERTY_SOURCE_NAME;
if (sources.contains(name)) {
PropertySource<?> source = sources.get(name);
CompositePropertySource composite = new CompositePropertySource(name);
composite.addPropertySource(new SimpleCommandLinePropertySource(
"springApplicationCommandLineArgs", args));
composite.addPropertySource(source);
sources.replace(name, composite);
}
else {
sources.addFirst(new SimpleCommandLinePropertySource(args));
}
}
}
|
java
|
protected void configurePropertySources(ConfigurableEnvironment environment,
String[] args) {
MutablePropertySources sources = environment.getPropertySources();
if (this.defaultProperties != null && !this.defaultProperties.isEmpty()) {
sources.addLast(
new MapPropertySource("defaultProperties", this.defaultProperties));
}
if (this.addCommandLineProperties && args.length > 0) {
String name = CommandLinePropertySource.COMMAND_LINE_PROPERTY_SOURCE_NAME;
if (sources.contains(name)) {
PropertySource<?> source = sources.get(name);
CompositePropertySource composite = new CompositePropertySource(name);
composite.addPropertySource(new SimpleCommandLinePropertySource(
"springApplicationCommandLineArgs", args));
composite.addPropertySource(source);
sources.replace(name, composite);
}
else {
sources.addFirst(new SimpleCommandLinePropertySource(args));
}
}
}
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/SpringApplication.java#L508-L529
|
train
|
Configure property sources.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java
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PojoSerializer.getRegisteredSubclassesFromExecutionConfig
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private static LinkedHashSet<Class<?>> getRegisteredSubclassesFromExecutionConfig(
Class<?> basePojoClass,
ExecutionConfig executionConfig) {
LinkedHashSet<Class<?>> subclassesInRegistrationOrder = new LinkedHashSet<>(executionConfig.getRegisteredPojoTypes().size());
for (Class<?> registeredClass : executionConfig.getRegisteredPojoTypes()) {
if (registeredClass.equals(basePojoClass)) {
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if (!basePojoClass.isAssignableFrom(registeredClass)) {
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}
subclassesInRegistrationOrder.add(registeredClass);
}
return subclassesInRegistrationOrder;
}
|
java
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private static LinkedHashSet<Class<?>> getRegisteredSubclassesFromExecutionConfig(
Class<?> basePojoClass,
ExecutionConfig executionConfig) {
LinkedHashSet<Class<?>> subclassesInRegistrationOrder = new LinkedHashSet<>(executionConfig.getRegisteredPojoTypes().size());
for (Class<?> registeredClass : executionConfig.getRegisteredPojoTypes()) {
if (registeredClass.equals(basePojoClass)) {
continue;
}
if (!basePojoClass.isAssignableFrom(registeredClass)) {
continue;
}
subclassesInRegistrationOrder.add(registeredClass);
}
return subclassesInRegistrationOrder;
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L1001-L1017
|
train
|
Get the registered subclasses from the given execution config.
|
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30526
] |
looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/symmetric/SymmetricCrypto.java
|
SymmetricCrypto.decrypt
|
public byte[] decrypt(byte[] bytes) {
lock.lock();
try {
if (null == this.params) {
cipher.init(Cipher.DECRYPT_MODE, secretKey);
} else {
cipher.init(Cipher.DECRYPT_MODE, secretKey, params);
}
return cipher.doFinal(bytes);
} catch (Exception e) {
throw new CryptoException(e);
} finally {
lock.unlock();
}
}
|
java
|
public byte[] decrypt(byte[] bytes) {
lock.lock();
try {
if (null == this.params) {
cipher.init(Cipher.DECRYPT_MODE, secretKey);
} else {
cipher.init(Cipher.DECRYPT_MODE, secretKey, params);
}
return cipher.doFinal(bytes);
} catch (Exception e) {
throw new CryptoException(e);
} finally {
lock.unlock();
}
}
|
[
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"}",
"}"
] |
解密
@param bytes 被解密的bytes
@return 解密后的bytes
|
[
"解密"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/symmetric/SymmetricCrypto.java#L293-L307
|
train
|
Decrypt the bytes.
|
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flink-clients/src/main/java/org/apache/flink/client/LocalExecutor.java
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LocalExecutor.execute
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public static JobExecutionResult execute(Program pa, String... args) throws Exception {
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java
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public static JobExecutionResult execute(Program pa, String... args) throws Exception {
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train
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metrics/src/main/java/io/dropwizard/metrics/MetricName.java
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MetricName.resolve
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public MetricName resolve(String p) {
final String next;
if (p != null && !p.isEmpty()) {
if (key != null && !key.isEmpty()) {
next = key + SEPARATOR + p;
} else {
next = p;
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} else {
next = this.key;
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return new MetricName(next, tags);
}
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java
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public MetricName resolve(String p) {
final String next;
if (p != null && !p.isEmpty()) {
if (key != null && !key.isEmpty()) {
next = key + SEPARATOR + p;
} else {
next = p;
}
} else {
next = this.key;
}
return new MetricName(next, tags);
}
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Build the MetricName that is this with another path appended to it.
The new MetricName inherits the tags of this one.
@param p The extra path element to add to the new metric.
@return A new metric name relative to the original by the path specified
in p.
|
[
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/metrics/src/main/java/io/dropwizard/metrics/MetricName.java#L82-L96
|
train
|
Resolves the metric name to a new metric name.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.newHashSet
|
public static <T> HashSet<T> newHashSet(boolean isSorted, Enumeration<T> enumration) {
if (null == enumration) {
return newHashSet(isSorted, (T[]) null);
}
final HashSet<T> set = isSorted ? new LinkedHashSet<T>() : new HashSet<T>();
while (enumration.hasMoreElements()) {
set.add(enumration.nextElement());
}
return set;
}
|
java
|
public static <T> HashSet<T> newHashSet(boolean isSorted, Enumeration<T> enumration) {
if (null == enumration) {
return newHashSet(isSorted, (T[]) null);
}
final HashSet<T> set = isSorted ? new LinkedHashSet<T>() : new HashSet<T>();
while (enumration.hasMoreElements()) {
set.add(enumration.nextElement());
}
return set;
}
|
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新建一个HashSet
@param <T> 集合元素类型
@param isSorted 是否有序，有序返回 {@link LinkedHashSet}，否则返回{@link HashSet}
@param enumration {@link Enumeration}
@return HashSet对象
@since 3.0.8
|
[
"新建一个HashSet"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L492-L501
|
train
|
Creates a new HashSet from an enumeration.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/webservices/client/HttpWebServiceMessageSenderBuilder.java
|
HttpWebServiceMessageSenderBuilder.requestFactory
|
public HttpWebServiceMessageSenderBuilder requestFactory(
Supplier<ClientHttpRequestFactory> requestFactorySupplier) {
Assert.notNull(requestFactorySupplier,
"RequestFactory Supplier must not be null");
this.requestFactorySupplier = requestFactorySupplier;
return this;
}
|
java
|
public HttpWebServiceMessageSenderBuilder requestFactory(
Supplier<ClientHttpRequestFactory> requestFactorySupplier) {
Assert.notNull(requestFactorySupplier,
"RequestFactory Supplier must not be null");
this.requestFactorySupplier = requestFactorySupplier;
return this;
}
|
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Set the {@code Supplier} of {@link ClientHttpRequestFactory} that should be called
to create the HTTP-based {@link WebServiceMessageSender}.
@param requestFactorySupplier the supplier for the request factory
@return a new builder instance
|
[
"Set",
"the",
"{"
] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/webservices/client/HttpWebServiceMessageSenderBuilder.java#L71-L77
|
train
|
Sets the request factory supplier.
|
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alibaba/canal
|
driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/packets/client/SemiAckCommandPacket.java
|
SemiAckCommandPacket.toBytes
|
public byte[] toBytes() throws IOException {
ByteArrayOutputStream out = new ByteArrayOutputStream();
// 0 write semi mark
out.write(0xef);
// 1 write 8 bytes for position
ByteHelper.write8ByteUnsignedIntLittleEndian(binlogPosition, out);
// 2 write binlog filename
if (StringUtils.isNotEmpty(binlogFileName)) {
out.write(binlogFileName.getBytes());
}
return out.toByteArray();
}
|
java
|
public byte[] toBytes() throws IOException {
ByteArrayOutputStream out = new ByteArrayOutputStream();
// 0 write semi mark
out.write(0xef);
// 1 write 8 bytes for position
ByteHelper.write8ByteUnsignedIntLittleEndian(binlogPosition, out);
// 2 write binlog filename
if (StringUtils.isNotEmpty(binlogFileName)) {
out.write(binlogFileName.getBytes());
}
return out.toByteArray();
}
|
[
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<pre>
Bytes Name
--------------------------------------------------------
Bytes Name
----- ----
1 semi mark
8 binlog position to start at (little endian)
n binlog file name
</pre>
|
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] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/packets/client/SemiAckCommandPacket.java#L41-L53
|
train
|
Serialize the record to bytes.
|
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spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/restart/Restarter.java
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Restarter.stop
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protected void stop() throws Exception {
this.logger.debug("Stopping application");
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context.close();
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}
finally {
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System.runFinalization();
}
|
java
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protected void stop() throws Exception {
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context.close();
this.rootContexts.remove(context);
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cleanupCaches();
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forceReferenceCleanup();
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/restart/Restarter.java#L307-L325
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train
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/tunnel/payload/HttpTunnelPayload.java
|
HttpTunnelPayload.get
|
public static HttpTunnelPayload get(HttpInputMessage message) throws IOException {
long length = message.getHeaders().getContentLength();
if (length <= 0) {
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}
String seqHeader = message.getHeaders().getFirst(SEQ_HEADER);
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while (payload.hasRemaining()) {
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body.close();
payload.flip();
return new HttpTunnelPayload(Long.valueOf(seqHeader), payload);
}
|
java
|
public static HttpTunnelPayload get(HttpInputMessage message) throws IOException {
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if (length <= 0) {
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ReadableByteChannel body = Channels.newChannel(message.getBody());
ByteBuffer payload = ByteBuffer.allocate((int) length);
while (payload.hasRemaining()) {
body.read(payload);
}
body.close();
payload.flip();
return new HttpTunnelPayload(Long.valueOf(seqHeader), payload);
}
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Return the {@link HttpTunnelPayload} for the given message or {@code null} if there
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@param message the HTTP message
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|
[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/tunnel/payload/HttpTunnelPayload.java#L113-L128
|
train
|
Get tunnel payload from input message.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/GenericWriteAheadSink.java
|
GenericWriteAheadSink.saveHandleInState
|
private void saveHandleInState(final long checkpointId, final long timestamp) throws Exception {
//only add handle if a new OperatorState was created since the last snapshot
if (out != null) {
int subtaskIdx = getRuntimeContext().getIndexOfThisSubtask();
StreamStateHandle handle = out.closeAndGetHandle();
PendingCheckpoint pendingCheckpoint = new PendingCheckpoint(
checkpointId, subtaskIdx, timestamp, handle);
if (pendingCheckpoints.contains(pendingCheckpoint)) {
//we already have a checkpoint stored for that ID that may have been partially written,
//so we discard this "alternate version" and use the stored checkpoint
handle.discardState();
} else {
pendingCheckpoints.add(pendingCheckpoint);
}
out = null;
}
}
|
java
|
private void saveHandleInState(final long checkpointId, final long timestamp) throws Exception {
//only add handle if a new OperatorState was created since the last snapshot
if (out != null) {
int subtaskIdx = getRuntimeContext().getIndexOfThisSubtask();
StreamStateHandle handle = out.closeAndGetHandle();
PendingCheckpoint pendingCheckpoint = new PendingCheckpoint(
checkpointId, subtaskIdx, timestamp, handle);
if (pendingCheckpoints.contains(pendingCheckpoint)) {
//we already have a checkpoint stored for that ID that may have been partially written,
//so we discard this "alternate version" and use the stored checkpoint
handle.discardState();
} else {
pendingCheckpoints.add(pendingCheckpoint);
}
out = null;
}
}
|
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Called when a checkpoint barrier arrives. It closes any open streams to the backend
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@param checkpointId the id of the latest received checkpoint.
@throws IOException in case something went wrong when handling the stream to the backend.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/GenericWriteAheadSink.java#L136-L155
|
train
|
Saves a handle in the state.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/VelocityUtil.java
|
VelocityUtil.toWriter
|
public static void toWriter(VelocityEngine ve, String templateFileName, VelocityContext context, Writer writer) {
final Template template = ve.getTemplate(templateFileName);
merge(template, context, writer);
}
|
java
|
public static void toWriter(VelocityEngine ve, String templateFileName, VelocityContext context, Writer writer) {
final Template template = ve.getTemplate(templateFileName);
merge(template, context, writer);
}
|
[
"public",
"static",
"void",
"toWriter",
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"VelocityEngine",
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"templateFileName",
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")",
"{",
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"templateFileName",
")",
";",
"merge",
"(",
"template",
",",
"context",
",",
"writer",
")",
";",
"}"
] |
生成内容写入流<br>
会自动关闭Writer
@param ve 引擎
@param templateFileName 模板文件名
@param context 上下文
@param writer 流
|
[
"生成内容写入流<br",
">",
"会自动关闭Writer"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/VelocityUtil.java#L186-L189
|
train
|
Write a Velocity template to a Writer.
|
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] |
apache/spark
|
common/network-common/src/main/java/org/apache/spark/network/sasl/SaslClientBootstrap.java
|
SaslClientBootstrap.doBootstrap
|
@Override
public void doBootstrap(TransportClient client, Channel channel) {
SparkSaslClient saslClient = new SparkSaslClient(appId, secretKeyHolder, conf.saslEncryption());
try {
byte[] payload = saslClient.firstToken();
while (!saslClient.isComplete()) {
SaslMessage msg = new SaslMessage(appId, payload);
ByteBuf buf = Unpooled.buffer(msg.encodedLength() + (int) msg.body().size());
msg.encode(buf);
buf.writeBytes(msg.body().nioByteBuffer());
ByteBuffer response = client.sendRpcSync(buf.nioBuffer(), conf.authRTTimeoutMs());
payload = saslClient.response(JavaUtils.bufferToArray(response));
}
client.setClientId(appId);
if (conf.saslEncryption()) {
if (!SparkSaslServer.QOP_AUTH_CONF.equals(saslClient.getNegotiatedProperty(Sasl.QOP))) {
throw new RuntimeException(
new SaslException("Encryption requests by negotiated non-encrypted connection."));
}
SaslEncryption.addToChannel(channel, saslClient, conf.maxSaslEncryptedBlockSize());
saslClient = null;
logger.debug("Channel {} configured for encryption.", client);
}
} catch (IOException ioe) {
throw new RuntimeException(ioe);
} finally {
if (saslClient != null) {
try {
// Once authentication is complete, the server will trust all remaining communication.
saslClient.dispose();
} catch (RuntimeException e) {
logger.error("Error while disposing SASL client", e);
}
}
}
}
|
java
|
@Override
public void doBootstrap(TransportClient client, Channel channel) {
SparkSaslClient saslClient = new SparkSaslClient(appId, secretKeyHolder, conf.saslEncryption());
try {
byte[] payload = saslClient.firstToken();
while (!saslClient.isComplete()) {
SaslMessage msg = new SaslMessage(appId, payload);
ByteBuf buf = Unpooled.buffer(msg.encodedLength() + (int) msg.body().size());
msg.encode(buf);
buf.writeBytes(msg.body().nioByteBuffer());
ByteBuffer response = client.sendRpcSync(buf.nioBuffer(), conf.authRTTimeoutMs());
payload = saslClient.response(JavaUtils.bufferToArray(response));
}
client.setClientId(appId);
if (conf.saslEncryption()) {
if (!SparkSaslServer.QOP_AUTH_CONF.equals(saslClient.getNegotiatedProperty(Sasl.QOP))) {
throw new RuntimeException(
new SaslException("Encryption requests by negotiated non-encrypted connection."));
}
SaslEncryption.addToChannel(channel, saslClient, conf.maxSaslEncryptedBlockSize());
saslClient = null;
logger.debug("Channel {} configured for encryption.", client);
}
} catch (IOException ioe) {
throw new RuntimeException(ioe);
} finally {
if (saslClient != null) {
try {
// Once authentication is complete, the server will trust all remaining communication.
saslClient.dispose();
} catch (RuntimeException e) {
logger.error("Error while disposing SASL client", e);
}
}
}
}
|
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] |
Performs SASL authentication by sending a token, and then proceeding with the SASL
challenge-response tokens until we either successfully authenticate or throw an exception
due to mismatch.
|
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] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SaslClientBootstrap.java#L58-L98
|
train
|
Bootstrap the server.
|
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