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looly/hutool | hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java | ImgUtil.cut | public static void cut(Image srcImage, ImageOutputStream destImageStream, Rectangle rectangle) throws IORuntimeException {
writeJpg(cut(srcImage, rectangle), destImageStream);
} | java | public static void cut(Image srcImage, ImageOutputStream destImageStream, Rectangle rectangle) throws IORuntimeException {
writeJpg(cut(srcImage, rectangle), destImageStream);
} | [
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@param srcImage 源图像
@param destImageStream 切片后的图像输出流
@param rectangle 矩形对象，表示矩形区域的x，y，width，height
@since 3.1.0
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/concurrent/FutureUtils.java | FutureUtils.retryOperation | private static <T> void retryOperation(
final CompletableFuture<T> resultFuture,
final Supplier<CompletableFuture<T>> operation,
final int retries,
final Executor executor) {
if (!resultFuture.isDone()) {
final CompletableFuture<T> operationFuture = operation.get();
operationFuture.whenCompleteAsync(
(t, throwable) -> {
if (throwable != null) {
if (throwable instanceof CancellationException) {
resultFuture.completeExceptionally(new RetryException("Operation future was cancelled.", throwable));
} else {
if (retries > 0) {
retryOperation(
resultFuture,
operation,
retries - 1,
executor);
} else {
resultFuture.completeExceptionally(new RetryException("Could not complete the operation. Number of retries " +
"has been exhausted.", throwable));
}
}
} else {
resultFuture.complete(t);
}
},
executor);
resultFuture.whenComplete(
(t, throwable) -> operationFuture.cancel(false));
}
} | java | private static <T> void retryOperation(
final CompletableFuture<T> resultFuture,
final Supplier<CompletableFuture<T>> operation,
final int retries,
final Executor executor) {
if (!resultFuture.isDone()) {
final CompletableFuture<T> operationFuture = operation.get();
operationFuture.whenCompleteAsync(
(t, throwable) -> {
if (throwable != null) {
if (throwable instanceof CancellationException) {
resultFuture.completeExceptionally(new RetryException("Operation future was cancelled.", throwable));
} else {
if (retries > 0) {
retryOperation(
resultFuture,
operation,
retries - 1,
executor);
} else {
resultFuture.completeExceptionally(new RetryException("Could not complete the operation. Number of retries " +
"has been exhausted.", throwable));
}
}
} else {
resultFuture.complete(t);
}
},
executor);
resultFuture.whenComplete(
(t, throwable) -> operationFuture.cancel(false));
}
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apache/flink | flink-java/src/main/java/org/apache/flink/api/java/DataSet.java | DataSet.sortPartition | public SortPartitionOperator<T> sortPartition(int field, Order order) {
return new SortPartitionOperator<>(this, field, order, Utils.getCallLocationName());
} | java | public SortPartitionOperator<T> sortPartition(int field, Order order) {
return new SortPartitionOperator<>(this, field, order, Utils.getCallLocationName());
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java | SegmentsUtil.getShort | public static short getShort(MemorySegment[] segments, int offset) {
if (inFirstSegment(segments, offset, 2)) {
return segments[0].getShort(offset);
} else {
return getShortMultiSegments(segments, offset);
}
} | java | public static short getShort(MemorySegment[] segments, int offset) {
if (inFirstSegment(segments, offset, 2)) {
return segments[0].getShort(offset);
} else {
return getShortMultiSegments(segments, offset);
}
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryString.java | BinaryString.trim | public BinaryString trim(BinaryString trimStr) {
if (trimStr == null) {
return null;
}
return trimLeft(trimStr).trimRight(trimStr);
} | java | public BinaryString trim(BinaryString trimStr) {
if (trimStr == null) {
return null;
}
return trimLeft(trimStr).trimRight(trimStr);
} | [
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apache/spark | launcher/src/main/java/org/apache/spark/launcher/Main.java | Main.buildCommand | private static List<String> buildCommand(
AbstractCommandBuilder builder,
Map<String, String> env,
boolean printLaunchCommand) throws IOException, IllegalArgumentException {
List<String> cmd = builder.buildCommand(env);
if (printLaunchCommand) {
System.err.println("Spark Command: " + join(" ", cmd));
System.err.println("========================================");
}
return cmd;
} | java | private static List<String> buildCommand(
AbstractCommandBuilder builder,
Map<String, String> env,
boolean printLaunchCommand) throws IOException, IllegalArgumentException {
List<String> cmd = builder.buildCommand(env);
if (printLaunchCommand) {
System.err.println("Spark Command: " + join(" ", cmd));
System.err.println("========================================");
}
return cmd;
} | [
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looly/hutool | hutool-http/src/main/java/cn/hutool/http/webservice/SoapClient.java | SoapClient.setHeader | public SoapClient setHeader(QName name) {
return setHeader(name, null, null, null, null);
} | java | public SoapClient setHeader(QName name) {
return setHeader(name, null, null, null, null);
} | [
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@param name 头信息标签名
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] | bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a | https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/webservice/SoapClient.java#L176-L178 | train | Sets the SOAP header. | [
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/corpus/document/sentence/Sentence.java | Sentence.toStandoff | public String toStandoff(boolean withComment)
{
StringBuilder sb = new StringBuilder(size() * 4);
String delimiter = " ";
String text = text(delimiter);
sb.append(text).append('\n');
int i = 1;
int offset = 0;
for (IWord word : wordList)
{
assert text.charAt(offset) == word.getValue().charAt(0);
printWord(word, sb, i, offset, withComment);
++i;
if (word instanceof CompoundWord)
{
int offsetChild = offset;
for (Word child : ((CompoundWord) word).innerList)
{
printWord(child, sb, i, offsetChild, withComment);
offsetChild += child.length();
offsetChild += delimiter.length();
++i;
}
offset += delimiter.length() * ((CompoundWord) word).innerList.size();
}
else
{
offset += delimiter.length();
}
offset += word.length();
}
return sb.toString();
} | java | public String toStandoff(boolean withComment)
{
StringBuilder sb = new StringBuilder(size() * 4);
String delimiter = " ";
String text = text(delimiter);
sb.append(text).append('\n');
int i = 1;
int offset = 0;
for (IWord word : wordList)
{
assert text.charAt(offset) == word.getValue().charAt(0);
printWord(word, sb, i, offset, withComment);
++i;
if (word instanceof CompoundWord)
{
int offsetChild = offset;
for (Word child : ((CompoundWord) word).innerList)
{
printWord(child, sb, i, offsetChild, withComment);
offsetChild += child.length();
offsetChild += delimiter.length();
++i;
}
offset += delimiter.length() * ((CompoundWord) word).innerList.size();
}
else
{
offset += delimiter.length();
}
offset += word.length();
}
return sb.toString();
} | [
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http://brat.nlplab.org/standoff.html
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java | SegmentsUtil.copyToUnsafe | public static void copyToUnsafe(
MemorySegment[] segments,
int offset,
Object target,
int pointer,
int numBytes) {
if (inFirstSegment(segments, offset, numBytes)) {
segments[0].copyToUnsafe(offset, target, pointer, numBytes);
} else {
copyMultiSegmentsToUnsafe(segments, offset, target, pointer, numBytes);
}
} | java | public static void copyToUnsafe(
MemorySegment[] segments,
int offset,
Object target,
int pointer,
int numBytes) {
if (inFirstSegment(segments, offset, numBytes)) {
segments[0].copyToUnsafe(offset, target, pointer, numBytes);
} else {
copyMultiSegmentsToUnsafe(segments, offset, target, pointer, numBytes);
}
} | [
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java | NeuralNetworkParser.load | public boolean load(ByteArray byteArray)
{
if (byteArray == null) return false;
model_header = byteArray.nextString();
root = byteArray.nextString();
use_distance = byteArray.nextInt() == 1;
use_valency = byteArray.nextInt() == 1;
use_cluster = byteArray.nextInt() == 1;
W1 = new Matrix();
W1.load(byteArray);
W2 = new Matrix();
W2.load(byteArray);
E = new Matrix();
E .load(byteArray);
b1 = new Matrix();
b1 .load(byteArray);
saved = new Matrix();
saved .load(byteArray);
forms_alphabet = new Alphabet();
forms_alphabet .load(byteArray);
postags_alphabet = new Alphabet();
postags_alphabet .load(byteArray);
deprels_alphabet = new Alphabet();
deprels_alphabet .load(byteArray);
precomputation_id_encoder = read_map(byteArray);
if (use_cluster)
{
cluster4_types_alphabet = new Alphabet();
cluster4_types_alphabet.load(byteArray);
cluster6_types_alphabet = new Alphabet();
cluster6_types_alphabet .load(byteArray);
cluster_types_alphabet = new Alphabet();
cluster_types_alphabet .load(byteArray);
form_to_cluster4 = read_map(byteArray);
form_to_cluster6 = read_map(byteArray);
form_to_cluster = read_map(byteArray);
}
assert !byteArray.hasMore() : "文件有残留，可能是读取逻辑不对";
classifier = new NeuralNetworkClassifier(W1, W2, E, b1, saved, precomputation_id_encoder);
classifier.canonical();
return true;
} | java | public boolean load(ByteArray byteArray)
{
if (byteArray == null) return false;
model_header = byteArray.nextString();
root = byteArray.nextString();
use_distance = byteArray.nextInt() == 1;
use_valency = byteArray.nextInt() == 1;
use_cluster = byteArray.nextInt() == 1;
W1 = new Matrix();
W1.load(byteArray);
W2 = new Matrix();
W2.load(byteArray);
E = new Matrix();
E .load(byteArray);
b1 = new Matrix();
b1 .load(byteArray);
saved = new Matrix();
saved .load(byteArray);
forms_alphabet = new Alphabet();
forms_alphabet .load(byteArray);
postags_alphabet = new Alphabet();
postags_alphabet .load(byteArray);
deprels_alphabet = new Alphabet();
deprels_alphabet .load(byteArray);
precomputation_id_encoder = read_map(byteArray);
if (use_cluster)
{
cluster4_types_alphabet = new Alphabet();
cluster4_types_alphabet.load(byteArray);
cluster6_types_alphabet = new Alphabet();
cluster6_types_alphabet .load(byteArray);
cluster_types_alphabet = new Alphabet();
cluster_types_alphabet .load(byteArray);
form_to_cluster4 = read_map(byteArray);
form_to_cluster6 = read_map(byteArray);
form_to_cluster = read_map(byteArray);
}
assert !byteArray.hasMore() : "文件有残留，可能是读取逻辑不对";
classifier = new NeuralNetworkClassifier(W1, W2, E, b1, saved, precomputation_id_encoder);
classifier.canonical();
return true;
} | [
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] | a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce | https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java#L238-L288 | train | Load the class file from the specified byte array. | [
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/dependency/perceptron/transition/parser/ArcEager.java | ArcEager.isTerminal | public static boolean isTerminal(ArrayList<Configuration> beam)
{
for (Configuration configuration : beam)
if (!configuration.state.isTerminalState())
return false;
return true;
} | java | public static boolean isTerminal(ArrayList<Configuration> beam)
{
for (Configuration configuration : beam)
if (!configuration.state.isTerminalState())
return false;
return true;
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apache/flink | flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/FlinkKafkaConsumer08.java | FlinkKafkaConsumer08.validateAutoOffsetResetValue | private static void validateAutoOffsetResetValue(Properties config) {
final String val = config.getProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "largest");
if (!(val.equals("largest") || val.equals("latest") || val.equals("earliest") || val.equals("smallest"))) {
// largest/smallest is kafka 0.8, latest/earliest is kafka 0.9
throw new IllegalArgumentException("Cannot use '" + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG
+ "' value '" + val + "'. Possible values: 'latest', 'largest', 'earliest', or 'smallest'.");
}
} | java | private static void validateAutoOffsetResetValue(Properties config) {
final String val = config.getProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "largest");
if (!(val.equals("largest") || val.equals("latest") || val.equals("earliest") || val.equals("smallest"))) {
// largest/smallest is kafka 0.8, latest/earliest is kafka 0.9
throw new IllegalArgumentException("Cannot use '" + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG
+ "' value '" + val + "'. Possible values: 'latest', 'largest', 'earliest', or 'smallest'.");
}
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apache/flink | flink-optimizer/src/main/java/org/apache/flink/optimizer/dataproperties/GlobalProperties.java | GlobalProperties.filterBySemanticProperties | public GlobalProperties filterBySemanticProperties(SemanticProperties props, int input) {
if (props == null) {
throw new NullPointerException("SemanticProperties may not be null.");
}
GlobalProperties gp = new GlobalProperties();
// filter partitioning
switch(this.partitioning) {
case RANGE_PARTITIONED:
// check if ordering is preserved
Ordering newOrdering = new Ordering();
for (int i = 0; i < this.ordering.getInvolvedIndexes().size(); i++) {
int sourceField = this.ordering.getInvolvedIndexes().get(i);
FieldSet targetField = props.getForwardingTargetFields(input, sourceField);
if (targetField == null || targetField.size() == 0) {
// partitioning is destroyed
newOrdering = null;
break;
} else {
// use any field of target fields for now. We should use something like field equivalence sets in the future.
if(targetField.size() > 1) {
LOG.warn("Found that a field is forwarded to more than one target field in " +
"semantic forwarded field information. Will only use the field with the lowest index.");
}
newOrdering.appendOrdering(targetField.toArray()[0], this.ordering.getType(i), this.ordering.getOrder(i));
}
}
if(newOrdering != null) {
gp.partitioning = PartitioningProperty.RANGE_PARTITIONED;
gp.ordering = newOrdering;
gp.partitioningFields = newOrdering.getInvolvedIndexes();
gp.distribution = this.distribution;
}
break;
case HASH_PARTITIONED:
case ANY_PARTITIONING:
case CUSTOM_PARTITIONING:
FieldList newPartitioningFields = new FieldList();
for (int sourceField : this.partitioningFields) {
FieldSet targetField = props.getForwardingTargetFields(input, sourceField);
if (targetField == null || targetField.size() == 0) {
newPartitioningFields = null;
break;
} else {
// use any field of target fields for now. We should use something like field equivalence sets in the future.
if(targetField.size() > 1) {
LOG.warn("Found that a field is forwarded to more than one target field in " +
"semantic forwarded field information. Will only use the field with the lowest index.");
}
newPartitioningFields = newPartitioningFields.addField(targetField.toArray()[0]);
}
}
if(newPartitioningFields != null) {
gp.partitioning = this.partitioning;
gp.partitioningFields = newPartitioningFields;
gp.customPartitioner = this.customPartitioner;
}
break;
case FORCED_REBALANCED:
case FULL_REPLICATION:
case RANDOM_PARTITIONED:
gp.partitioning = this.partitioning;
break;
default:
throw new RuntimeException("Unknown partitioning type.");
}
// filter unique field combinations
if (this.uniqueFieldCombinations != null) {
Set<FieldSet> newUniqueFieldCombinations = new HashSet<FieldSet>();
for (FieldSet fieldCombo : this.uniqueFieldCombinations) {
FieldSet newFieldCombo = new FieldSet();
for (Integer sourceField : fieldCombo) {
FieldSet targetField = props.getForwardingTargetFields(input, sourceField);
if (targetField == null || targetField.size() == 0) {
newFieldCombo = null;
break;
} else {
// use any field of target fields for now. We should use something like field equivalence sets in the future.
if(targetField.size() > 1) {
LOG.warn("Found that a field is forwarded to more than one target field in " +
"semantic forwarded field information. Will only use the field with the lowest index.");
}
newFieldCombo = newFieldCombo.addField(targetField.toArray()[0]);
}
}
if (newFieldCombo != null) {
newUniqueFieldCombinations.add(newFieldCombo);
}
}
if(!newUniqueFieldCombinations.isEmpty()) {
gp.uniqueFieldCombinations = newUniqueFieldCombinations;
}
}
return gp;
} | java | public GlobalProperties filterBySemanticProperties(SemanticProperties props, int input) {
if (props == null) {
throw new NullPointerException("SemanticProperties may not be null.");
}
GlobalProperties gp = new GlobalProperties();
// filter partitioning
switch(this.partitioning) {
case RANGE_PARTITIONED:
// check if ordering is preserved
Ordering newOrdering = new Ordering();
for (int i = 0; i < this.ordering.getInvolvedIndexes().size(); i++) {
int sourceField = this.ordering.getInvolvedIndexes().get(i);
FieldSet targetField = props.getForwardingTargetFields(input, sourceField);
if (targetField == null || targetField.size() == 0) {
// partitioning is destroyed
newOrdering = null;
break;
} else {
// use any field of target fields for now. We should use something like field equivalence sets in the future.
if(targetField.size() > 1) {
LOG.warn("Found that a field is forwarded to more than one target field in " +
"semantic forwarded field information. Will only use the field with the lowest index.");
}
newOrdering.appendOrdering(targetField.toArray()[0], this.ordering.getType(i), this.ordering.getOrder(i));
}
}
if(newOrdering != null) {
gp.partitioning = PartitioningProperty.RANGE_PARTITIONED;
gp.ordering = newOrdering;
gp.partitioningFields = newOrdering.getInvolvedIndexes();
gp.distribution = this.distribution;
}
break;
case HASH_PARTITIONED:
case ANY_PARTITIONING:
case CUSTOM_PARTITIONING:
FieldList newPartitioningFields = new FieldList();
for (int sourceField : this.partitioningFields) {
FieldSet targetField = props.getForwardingTargetFields(input, sourceField);
if (targetField == null || targetField.size() == 0) {
newPartitioningFields = null;
break;
} else {
// use any field of target fields for now. We should use something like field equivalence sets in the future.
if(targetField.size() > 1) {
LOG.warn("Found that a field is forwarded to more than one target field in " +
"semantic forwarded field information. Will only use the field with the lowest index.");
}
newPartitioningFields = newPartitioningFields.addField(targetField.toArray()[0]);
}
}
if(newPartitioningFields != null) {
gp.partitioning = this.partitioning;
gp.partitioningFields = newPartitioningFields;
gp.customPartitioner = this.customPartitioner;
}
break;
case FORCED_REBALANCED:
case FULL_REPLICATION:
case RANDOM_PARTITIONED:
gp.partitioning = this.partitioning;
break;
default:
throw new RuntimeException("Unknown partitioning type.");
}
// filter unique field combinations
if (this.uniqueFieldCombinations != null) {
Set<FieldSet> newUniqueFieldCombinations = new HashSet<FieldSet>();
for (FieldSet fieldCombo : this.uniqueFieldCombinations) {
FieldSet newFieldCombo = new FieldSet();
for (Integer sourceField : fieldCombo) {
FieldSet targetField = props.getForwardingTargetFields(input, sourceField);
if (targetField == null || targetField.size() == 0) {
newFieldCombo = null;
break;
} else {
// use any field of target fields for now. We should use something like field equivalence sets in the future.
if(targetField.size() > 1) {
LOG.warn("Found that a field is forwarded to more than one target field in " +
"semantic forwarded field information. Will only use the field with the lowest index.");
}
newFieldCombo = newFieldCombo.addField(targetField.toArray()[0]);
}
}
if (newFieldCombo != null) {
newUniqueFieldCombinations.add(newFieldCombo);
}
}
if(!newUniqueFieldCombinations.isEmpty()) {
gp.uniqueFieldCombinations = newUniqueFieldCombinations;
}
}
return gp;
} | [
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apache/spark | sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java | ColumnVector.getBooleans | public boolean[] getBooleans(int rowId, int count) {
boolean[] res = new boolean[count];
for (int i = 0; i < count; i++) {
res[i] = getBoolean(rowId + i);
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return res;
} | java | public boolean[] getBooleans(int rowId, int count) {
boolean[] res = new boolean[count];
for (int i = 0; i < count; i++) {
res[i] = getBoolean(rowId + i);
}
return res;
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apache/flink | flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/restore/AbstractRocksDBRestoreOperation.java | AbstractRocksDBRestoreOperation.close | @Override
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IOUtils.closeQuietly(db);
// Making sure the already created column family options will be closed
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} | java | @Override
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IOUtils.closeQuietly(defaultColumnFamilyHandle);
IOUtils.closeQuietly(nativeMetricMonitor);
IOUtils.closeQuietly(db);
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alibaba/canal | driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/utils/ByteHelper.java | ByteHelper.readUnsignedIntLittleEndian | public static long readUnsignedIntLittleEndian(byte[] data, int index) {
long result = (long) (data[index] & 0xFF) | (long) ((data[index + 1] & 0xFF) << 8)
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return result;
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spring-projects/spring-boot | spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/jms/DefaultJmsListenerContainerFactoryConfigurer.java | DefaultJmsListenerContainerFactoryConfigurer.configure | public void configure(DefaultJmsListenerContainerFactory factory,
ConnectionFactory connectionFactory) {
Assert.notNull(factory, "Factory must not be null");
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factory.setAutoStartup(listener.isAutoStartup());
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factory.setSessionAcknowledgeMode(listener.getAcknowledgeMode().getMode());
}
String concurrency = listener.formatConcurrency();
if (concurrency != null) {
factory.setConcurrency(concurrency);
}
} | java | public void configure(DefaultJmsListenerContainerFactory factory,
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alibaba/canal | dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/FileLogFetcher.java | FileLogFetcher.fetch | public boolean fetch() throws IOException {
if (limit == 0) {
final int len = fin.read(buffer, 0, buffer.length);
if (len >= 0) {
limit += len;
position = 0;
origin = 0;
/* More binlog to fetch */
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if (limit > buffer.length / 2) {
ensureCapacity(buffer.length + limit);
}
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if (len >= 0) {
limit += len;
/* More binlog to fetch */
return true;
}
} else if (limit > 0) {
if (limit >= FormatDescriptionLogEvent.LOG_EVENT_HEADER_LEN) {
int lenPosition = position + 4 + 1 + 4;
long eventLen = ((long) (0xff & buffer[lenPosition++])) | ((long) (0xff & buffer[lenPosition++]) << 8)
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/* Should not happen. */
throw new IllegalArgumentException("Unexcepted limit: " + limit);
}
/* Reach binlog file end */
return false;
} | java | public boolean fetch() throws IOException {
if (limit == 0) {
final int len = fin.read(buffer, 0, buffer.length);
if (len >= 0) {
limit += len;
position = 0;
origin = 0;
/* More binlog to fetch */
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ensureCapacity(buffer.length + limit);
}
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if (len >= 0) {
limit += len;
/* More binlog to fetch */
return true;
}
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int lenPosition = position + 4 + 1 + 4;
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ensureCapacity((int) eventLen);
}
}
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position -= origin;
origin = 0;
final int len = fin.read(buffer, limit, buffer.length - limit);
if (len >= 0) {
limit += len;
/* More binlog to fetch */
return true;
}
} else {
/* Should not happen. */
throw new IllegalArgumentException("Unexcepted limit: " + limit);
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/* Reach binlog file end */
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netty/netty | codec-http/src/main/java/io/netty/handler/codec/http/ServerCookieEncoder.java | ServerCookieEncoder.encode | @Deprecated
public static String encode(Cookie cookie) {
return io.netty.handler.codec.http.cookie.ServerCookieEncoder.LAX.encode(cookie);
} | java | @Deprecated
public static String encode(Cookie cookie) {
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] | ba06eafa1c1824bd154f1a380019e7ea2edf3c4c | https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/ServerCookieEncoder.java#L62-L65 | train | Encode a Cookie object to a Base64 string. | [
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apache/flink | flink-core/src/main/java/org/apache/flink/configuration/Configuration.java | Configuration.getInteger | public int getInteger(String key, int defaultValue) {
Object o = getRawValue(key);
if (o == null) {
return defaultValue;
}
return convertToInt(o, defaultValue);
} | java | public int getInteger(String key, int defaultValue) {
Object o = getRawValue(key);
if (o == null) {
return defaultValue;
}
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/corpus/dictionary/DictionaryMaker.java | DictionaryMaker.addNotCombine | public void addNotCombine(Item item)
{
Item innerItem = trie.get(item.key);
if (innerItem == null)
{
innerItem = item;
trie.put(innerItem.key, innerItem);
}
} | java | public void addNotCombine(Item item)
{
Item innerItem = trie.get(item.key);
if (innerItem == null)
{
innerItem = item;
trie.put(innerItem.key, innerItem);
}
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apache/flink | flink-core/src/main/java/org/apache/flink/core/fs/FileSystem.java | FileSystem.initialize | public static void initialize(
Configuration config,
PluginManager pluginManager) throws IllegalConfigurationException {
LOCK.lock();
try {
// make sure file systems are re-instantiated after re-configuration
CACHE.clear();
FS_FACTORIES.clear();
Collection<Supplier<Iterator<FileSystemFactory>>> factorySuppliers = new ArrayList<>(2);
factorySuppliers.add(() -> ServiceLoader.load(FileSystemFactory.class).iterator());
if (pluginManager != null) {
factorySuppliers.add(() -> pluginManager.load(FileSystemFactory.class));
}
final List<FileSystemFactory> fileSystemFactories = loadFileSystemFactories(factorySuppliers);
// configure all file system factories
for (FileSystemFactory factory : fileSystemFactories) {
factory.configure(config);
String scheme = factory.getScheme();
FileSystemFactory fsf = ConnectionLimitingFactory.decorateIfLimited(factory, scheme, config);
FS_FACTORIES.put(scheme, fsf);
}
// configure the default (fallback) factory
FALLBACK_FACTORY.configure(config);
// also read the default file system scheme
final String stringifiedUri = config.getString(CoreOptions.DEFAULT_FILESYSTEM_SCHEME, null);
if (stringifiedUri == null) {
defaultScheme = null;
}
else {
try {
defaultScheme = new URI(stringifiedUri);
}
catch (URISyntaxException e) {
throw new IllegalConfigurationException("The default file system scheme ('" +
CoreOptions.DEFAULT_FILESYSTEM_SCHEME + "') is invalid: " + stringifiedUri, e);
}
}
}
finally {
LOCK.unlock();
}
} | java | public static void initialize(
Configuration config,
PluginManager pluginManager) throws IllegalConfigurationException {
LOCK.lock();
try {
// make sure file systems are re-instantiated after re-configuration
CACHE.clear();
FS_FACTORIES.clear();
Collection<Supplier<Iterator<FileSystemFactory>>> factorySuppliers = new ArrayList<>(2);
factorySuppliers.add(() -> ServiceLoader.load(FileSystemFactory.class).iterator());
if (pluginManager != null) {
factorySuppliers.add(() -> pluginManager.load(FileSystemFactory.class));
}
final List<FileSystemFactory> fileSystemFactories = loadFileSystemFactories(factorySuppliers);
// configure all file system factories
for (FileSystemFactory factory : fileSystemFactories) {
factory.configure(config);
String scheme = factory.getScheme();
FileSystemFactory fsf = ConnectionLimitingFactory.decorateIfLimited(factory, scheme, config);
FS_FACTORIES.put(scheme, fsf);
}
// configure the default (fallback) factory
FALLBACK_FACTORY.configure(config);
// also read the default file system scheme
final String stringifiedUri = config.getString(CoreOptions.DEFAULT_FILESYSTEM_SCHEME, null);
if (stringifiedUri == null) {
defaultScheme = null;
}
else {
try {
defaultScheme = new URI(stringifiedUri);
}
catch (URISyntaxException e) {
throw new IllegalConfigurationException("The default file system scheme ('" +
CoreOptions.DEFAULT_FILESYSTEM_SCHEME + "') is invalid: " + stringifiedUri, e);
}
}
}
finally {
LOCK.unlock();
}
} | [
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apache/spark | core/src/main/java/org/apache/spark/util/collection/TimSort.java | TimSort.sort | public void sort(Buffer a, int lo, int hi, Comparator<? super K> c) {
assert c != null;
int nRemaining = hi - lo;
if (nRemaining < 2)
return; // Arrays of size 0 and 1 are always sorted
// If array is small, do a "mini-TimSort" with no merges
if (nRemaining < MIN_MERGE) {
int initRunLen = countRunAndMakeAscending(a, lo, hi, c);
binarySort(a, lo, hi, lo + initRunLen, c);
return;
}
/**
* March over the array once, left to right, finding natural runs,
* extending short natural runs to minRun elements, and merging runs
* to maintain stack invariant.
*/
SortState sortState = new SortState(a, c, hi - lo);
int minRun = minRunLength(nRemaining);
do {
// Identify next run
int runLen = countRunAndMakeAscending(a, lo, hi, c);
// If run is short, extend to min(minRun, nRemaining)
if (runLen < minRun) {
int force = nRemaining <= minRun ? nRemaining : minRun;
binarySort(a, lo, lo + force, lo + runLen, c);
runLen = force;
}
// Push run onto pending-run stack, and maybe merge
sortState.pushRun(lo, runLen);
sortState.mergeCollapse();
// Advance to find next run
lo += runLen;
nRemaining -= runLen;
} while (nRemaining != 0);
// Merge all remaining runs to complete sort
assert lo == hi;
sortState.mergeForceCollapse();
assert sortState.stackSize == 1;
} | java | public void sort(Buffer a, int lo, int hi, Comparator<? super K> c) {
assert c != null;
int nRemaining = hi - lo;
if (nRemaining < 2)
return; // Arrays of size 0 and 1 are always sorted
// If array is small, do a "mini-TimSort" with no merges
if (nRemaining < MIN_MERGE) {
int initRunLen = countRunAndMakeAscending(a, lo, hi, c);
binarySort(a, lo, hi, lo + initRunLen, c);
return;
}
/**
* March over the array once, left to right, finding natural runs,
* extending short natural runs to minRun elements, and merging runs
* to maintain stack invariant.
*/
SortState sortState = new SortState(a, c, hi - lo);
int minRun = minRunLength(nRemaining);
do {
// Identify next run
int runLen = countRunAndMakeAscending(a, lo, hi, c);
// If run is short, extend to min(minRun, nRemaining)
if (runLen < minRun) {
int force = nRemaining <= minRun ? nRemaining : minRun;
binarySort(a, lo, lo + force, lo + runLen, c);
runLen = force;
}
// Push run onto pending-run stack, and maybe merge
sortState.pushRun(lo, runLen);
sortState.mergeCollapse();
// Advance to find next run
lo += runLen;
nRemaining -= runLen;
} while (nRemaining != 0);
// Merge all remaining runs to complete sort
assert lo == hi;
sortState.mergeForceCollapse();
assert sortState.stackSize == 1;
} | [
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n lg(n) comparisons when running on partially sorted arrays, while
offering performance comparable to a traditional mergesort when run
on random arrays. Like all proper mergesorts, this sort is stable and
runs O(n log n) time (worst case). In the worst case, this sort requires
temporary storage space for n/2 object references; in the best case,
it requires only a small constant amount of space.
This implementation was adapted from Tim Peters's list sort for
Python, which is described in detail here:
http://svn.python.org/projects/python/trunk/Objects/listsort.txt
Tim's C code may be found here:
http://svn.python.org/projects/python/trunk/Objects/listobject.c
The underlying techniques are described in this paper (and may have
even earlier origins):
"Optimistic Sorting and Information Theoretic Complexity"
Peter McIlroy
SODA (Fourth Annual ACM-SIAM Symposium on Discrete Algorithms),
pp 467-474, Austin, Texas, 25-27 January 1993.
While the API to this class consists solely of static methods, it is
(privately) instantiable; a TimSort instance holds the state of an ongoing
sort, assuming the input array is large enough to warrant the full-blown
TimSort. Small arrays are sorted in place, using a binary insertion sort.
@author Josh Bloch | [
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spring-projects/spring-boot | spring-boot-project/spring-boot-tools/spring-boot-maven-plugin/src/main/java/org/springframework/boot/maven/SpringApplicationAdminClient.java | SpringApplicationAdminClient.stop | public void stop()
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try {
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throw new MojoExecutionException("Shutdown failed", ex.getCause());
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apache/flink | flink-core/src/main/java/org/apache/flink/configuration/ConfigOption.java | ConfigOption.withFallbackKeys | public ConfigOption<T> withFallbackKeys(String... fallbackKeys) {
final Stream<FallbackKey> newFallbackKeys = Arrays.stream(fallbackKeys).map(FallbackKey::createFallbackKey);
final Stream<FallbackKey> currentAlternativeKeys = Arrays.stream(this.fallbackKeys);
// put fallback keys first so that they are prioritized
final FallbackKey[] mergedAlternativeKeys = Stream.concat(newFallbackKeys, currentAlternativeKeys)
.toArray(FallbackKey[]::new);
return new ConfigOption<>(key, description, defaultValue, mergedAlternativeKeys);
} | java | public ConfigOption<T> withFallbackKeys(String... fallbackKeys) {
final Stream<FallbackKey> newFallbackKeys = Arrays.stream(fallbackKeys).map(FallbackKey::createFallbackKey);
final Stream<FallbackKey> currentAlternativeKeys = Arrays.stream(this.fallbackKeys);
// put fallback keys first so that they are prioritized
final FallbackKey[] mergedAlternativeKeys = Stream.concat(newFallbackKeys, currentAlternativeKeys)
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looly/hutool | hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/SimpleStringResourceLoader.java | SimpleStringResourceLoader.getResourceStream | public InputStream getResourceStream(String source) throws ResourceNotFoundException {
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/iterative/concurrent/Broker.java | Broker.get | public V get(String key) {
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/state/SharedStateRegistry.java | SharedStateRegistry.registerAll | public void registerAll(Iterable<? extends CompositeStateHandle> stateHandles) {
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if (stateHandles == null) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java | NumberUtil.div | public static BigDecimal div(BigDecimal v1, BigDecimal v2, int scale, RoundingMode roundingMode) {
Assert.notNull(v2, "Divisor must be not null !");
if (null == v1) {
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return v1.divide(v2, scale, roundingMode);
} | java | public static BigDecimal div(BigDecimal v1, BigDecimal v2, int scale, RoundingMode roundingMode) {
Assert.notNull(v2, "Divisor must be not null !");
if (null == v1) {
return BigDecimal.ZERO;
}
if (scale < 0) {
scale = -scale;
}
return v1.divide(v2, scale, roundingMode);
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/ActiveEntity.java | ActiveEntity.update | public ActiveEntity update(String primaryKey) {
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} catch (SQLException e) {
throw new DbRuntimeException(e);
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} | java | public ActiveEntity update(String primaryKey) {
try {
db.update(this, Entity.create().set(primaryKey, this.get(primaryKey)));
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throw new DbRuntimeException(e);
}
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/Session.java | Session.setTransactionIsolation | public void setTransactionIsolation(int level) throws SQLException {
if (getConnection().getMetaData().supportsTransactionIsolationLevel(level) == false) {
throw new SQLException(StrUtil.format("Transaction isolation [{}] not support!", level));
}
getConnection().setTransactionIsolation(level);
} | java | public void setTransactionIsolation(int level) throws SQLException {
if (getConnection().getMetaData().supportsTransactionIsolationLevel(level) == false) {
throw new SQLException(StrUtil.format("Transaction isolation [{}] not support!", level));
}
getConnection().setTransactionIsolation(level);
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apache/flink | flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple.java | Tuple.newInstance | public static Tuple newInstance(int arity) {
switch (arity) {
case 0: return Tuple0.INSTANCE;
case 1: return new Tuple1();
case 2: return new Tuple2();
case 3: return new Tuple3();
case 4: return new Tuple4();
case 5: return new Tuple5();
case 6: return new Tuple6();
case 7: return new Tuple7();
case 8: return new Tuple8();
case 9: return new Tuple9();
case 10: return new Tuple10();
case 11: return new Tuple11();
case 12: return new Tuple12();
case 13: return new Tuple13();
case 14: return new Tuple14();
case 15: return new Tuple15();
case 16: return new Tuple16();
case 17: return new Tuple17();
case 18: return new Tuple18();
case 19: return new Tuple19();
case 20: return new Tuple20();
case 21: return new Tuple21();
case 22: return new Tuple22();
case 23: return new Tuple23();
case 24: return new Tuple24();
case 25: return new Tuple25();
default: throw new IllegalArgumentException("The tuple arity must be in [0, " + MAX_ARITY + "].");
}
} | java | public static Tuple newInstance(int arity) {
switch (arity) {
case 0: return Tuple0.INSTANCE;
case 1: return new Tuple1();
case 2: return new Tuple2();
case 3: return new Tuple3();
case 4: return new Tuple4();
case 5: return new Tuple5();
case 6: return new Tuple6();
case 7: return new Tuple7();
case 8: return new Tuple8();
case 9: return new Tuple9();
case 10: return new Tuple10();
case 11: return new Tuple11();
case 12: return new Tuple12();
case 13: return new Tuple13();
case 14: return new Tuple14();
case 15: return new Tuple15();
case 16: return new Tuple16();
case 17: return new Tuple17();
case 18: return new Tuple18();
case 19: return new Tuple19();
case 20: return new Tuple20();
case 21: return new Tuple21();
case 22: return new Tuple22();
case 23: return new Tuple23();
case 24: return new Tuple24();
case 25: return new Tuple25();
default: throw new IllegalArgumentException("The tuple arity must be in [0, " + MAX_ARITY + "].");
}
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/codec/Morse.java | Morse.encode | public String encode(String text) {
Assert.notNull(text, "Text should not be null.");
text = text.toUpperCase();
final StringBuilder morseBuilder = new StringBuilder();
final int len = text.codePointCount(0, text.length());
for (int i = 0; i < len; i++) {
int codePoint = text.codePointAt(i);
String word = alphabets.get(codePoint);
if (word == null) {
word = Integer.toBinaryString(codePoint);
}
morseBuilder.append(word.replace('0', dit).replace('1', dah)).append(split);
}
return morseBuilder.toString();
} | java | public String encode(String text) {
Assert.notNull(text, "Text should not be null.");
text = text.toUpperCase();
final StringBuilder morseBuilder = new StringBuilder();
final int len = text.codePointCount(0, text.length());
for (int i = 0; i < len; i++) {
int codePoint = text.codePointAt(i);
String word = alphabets.get(codePoint);
if (word == null) {
word = Integer.toBinaryString(codePoint);
}
morseBuilder.append(word.replace('0', dit).replace('1', dah)).append(split);
}
return morseBuilder.toString();
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alibaba/canal | client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/support/ESSyncUtil.java | ESSyncUtil.blobToBytes | private static byte[] blobToBytes(Blob blob) {
try (InputStream is = blob.getBinaryStream()) {
byte[] b = new byte[(int) blob.length()];
if (is.read(b) != -1) {
return b;
} else {
return new byte[0];
}
} catch (IOException | SQLException e) {
logger.error(e.getMessage());
return null;
}
} | java | private static byte[] blobToBytes(Blob blob) {
try (InputStream is = blob.getBinaryStream()) {
byte[] b = new byte[(int) blob.length()];
if (is.read(b) != -1) {
return b;
} else {
return new byte[0];
}
} catch (IOException | SQLException e) {
logger.error(e.getMessage());
return null;
}
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java | ImgUtil.scale | public static void scale(Image srcImg, ImageOutputStream destImageStream, float scale) throws IORuntimeException {
writeJpg(scale(srcImg, scale), destImageStream);
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writeJpg(scale(srcImg, scale), destImageStream);
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/operators/BatchTask.java | BatchTask.initBroadcastInputReaders | protected void initBroadcastInputReaders() throws Exception {
final int numBroadcastInputs = this.config.getNumBroadcastInputs();
final MutableReader<?>[] broadcastInputReaders = new MutableReader<?>[numBroadcastInputs];
int currentReaderOffset = config.getNumInputs();
for (int i = 0; i < this.config.getNumBroadcastInputs(); i++) {
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// in case where a logical input unions multiple physical inputs, create a union reader
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getEnvironment().getInputGate(currentReaderOffset),
getEnvironment().getTaskManagerInfo().getTmpDirectories());
} else if (groupSize > 1){
// union case
InputGate[] readers = new InputGate[groupSize];
for (int j = 0; j < groupSize; ++j) {
readers[j] = getEnvironment().getInputGate(currentReaderOffset + j);
}
broadcastInputReaders[i] = new MutableRecordReader<IOReadableWritable>(
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} else {
throw new Exception("Illegal input group size in task configuration: " + groupSize);
}
currentReaderOffset += groupSize;
}
this.broadcastInputReaders = broadcastInputReaders;
} | java | protected void initBroadcastInputReaders() throws Exception {
final int numBroadcastInputs = this.config.getNumBroadcastInputs();
final MutableReader<?>[] broadcastInputReaders = new MutableReader<?>[numBroadcastInputs];
int currentReaderOffset = config.getNumInputs();
for (int i = 0; i < this.config.getNumBroadcastInputs(); i++) {
// ---------------- create the input readers ---------------------
// in case where a logical input unions multiple physical inputs, create a union reader
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// union case
InputGate[] readers = new InputGate[groupSize];
for (int j = 0; j < groupSize; ++j) {
readers[j] = getEnvironment().getInputGate(currentReaderOffset + j);
}
broadcastInputReaders[i] = new MutableRecordReader<IOReadableWritable>(
new UnionInputGate(readers),
getEnvironment().getTaskManagerInfo().getTmpDirectories());
} else {
throw new Exception("Illegal input group size in task configuration: " + groupSize);
}
currentReaderOffset += groupSize;
}
this.broadcastInputReaders = broadcastInputReaders;
} | [
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/dependency/perceptron/parser/KBeamArcEagerDependencyParser.java | KBeamArcEagerDependencyParser.train | public static KBeamArcEagerDependencyParser train(String trainCorpus, String devCorpus, String clusterPath, String modelPath) throws InterruptedException, ExecutionException, IOException, ClassNotFoundException
{
Options options = new Options();
options.train = true;
options.inputFile = trainCorpus;
options.devPath = devCorpus;
options.clusterFile = clusterPath;
options.modelFile = modelPath;
Main.train(options);
return new KBeamArcEagerDependencyParser(modelPath);
} | java | public static KBeamArcEagerDependencyParser train(String trainCorpus, String devCorpus, String clusterPath, String modelPath) throws InterruptedException, ExecutionException, IOException, ClassNotFoundException
{
Options options = new Options();
options.train = true;
options.inputFile = trainCorpus;
options.devPath = devCorpus;
options.clusterFile = clusterPath;
options.modelFile = modelPath;
Main.train(options);
return new KBeamArcEagerDependencyParser(modelPath);
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apache/flink | flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/network/messages/MessageSerializer.java | MessageSerializer.deserializeServerFailure | public static Throwable deserializeServerFailure(final ByteBuf buf) throws IOException, ClassNotFoundException {
try (ByteBufInputStream bis = new ByteBufInputStream(buf);
ObjectInputStream in = new ObjectInputStream(bis)) {
return (Throwable) in.readObject();
}
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try (ByteBufInputStream bis = new ByteBufInputStream(buf);
ObjectInputStream in = new ObjectInputStream(bis)) {
return (Throwable) in.readObject();
}
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/convert/Convert.java | Convert.toInt | public static Integer toInt(Object value, Integer defaultValue) {
return convert(Integer.class, value, defaultValue);
} | java | public static Integer toInt(Object value, Integer defaultValue) {
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netty/netty | handler/src/main/java/io/netty/handler/ssl/SslHandler.java | SslHandler.applicationProtocol | public String applicationProtocol() {
SSLEngine engine = engine();
if (!(engine instanceof ApplicationProtocolAccessor)) {
return null;
}
return ((ApplicationProtocolAccessor) engine).getNegotiatedApplicationProtocol();
} | java | public String applicationProtocol() {
SSLEngine engine = engine();
if (!(engine instanceof ApplicationProtocolAccessor)) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java | ReUtil.delFirst | public static String delFirst(Pattern pattern, CharSequence content) {
if (null == pattern || StrUtil.isBlank(content)) {
return StrUtil.str(content);
}
return pattern.matcher(content).replaceFirst(StrUtil.EMPTY);
} | java | public static String delFirst(Pattern pattern, CharSequence content) {
if (null == pattern || StrUtil.isBlank(content)) {
return StrUtil.str(content);
}
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looly/hutool | hutool-crypto/src/main/java/cn/hutool/crypto/KeyUtil.java | KeyUtil.readCertificate | public static Certificate readCertificate(String type, InputStream in) {
try {
return getCertificateFactory(type).generateCertificate(in);
} catch (CertificateException e) {
throw new CryptoException(e);
}
} | java | public static Certificate readCertificate(String type, InputStream in) {
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlDateTimeUtils.java | SqlDateTimeUtils.internalToTime | public static java.sql.Time internalToTime(int v, TimeZone tz) {
// note that, in this case, can't handle Daylight Saving Time
return new java.sql.Time(v - tz.getOffset(v));
} | java | public static java.sql.Time internalToTime(int v, TimeZone tz) {
// note that, in this case, can't handle Daylight Saving Time
return new java.sql.Time(v - tz.getOffset(v));
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apache/flink | flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDBKeyedStateBackend.java | RocksDBKeyedStateBackend.snapshot | @Nonnull
@Override
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final long checkpointId,
final long timestamp,
@Nonnull final CheckpointStreamFactory streamFactory,
@Nonnull CheckpointOptions checkpointOptions) throws Exception {
long startTime = System.currentTimeMillis();
// flush everything into db before taking a snapshot
writeBatchWrapper.flush();
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checkpointOptions.getCheckpointType().isSavepoint() ? savepointSnapshotStrategy : checkpointSnapshotStrategy;
RunnableFuture<SnapshotResult<KeyedStateHandle>> snapshotRunner =
chosenSnapshotStrategy.snapshot(checkpointId, timestamp, streamFactory, checkpointOptions);
chosenSnapshotStrategy.logSyncCompleted(streamFactory, startTime);
return snapshotRunner;
} | java | @Nonnull
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@Nonnull final CheckpointStreamFactory streamFactory,
@Nonnull CheckpointOptions checkpointOptions) throws Exception {
long startTime = System.currentTimeMillis();
// flush everything into db before taking a snapshot
writeBatchWrapper.flush();
RocksDBSnapshotStrategyBase<K> chosenSnapshotStrategy =
checkpointOptions.getCheckpointType().isSavepoint() ? savepointSnapshotStrategy : checkpointSnapshotStrategy;
RunnableFuture<SnapshotResult<KeyedStateHandle>> snapshotRunner =
chosenSnapshotStrategy.snapshot(checkpointId, timestamp, streamFactory, checkpointOptions);
chosenSnapshotStrategy.logSyncCompleted(streamFactory, startTime);
return snapshotRunner;
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netty/netty | codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java | HttpHeaders.getDate | @Deprecated
public static Date getDate(HttpMessage message, Date defaultValue) {
return getDateHeader(message, HttpHeaderNames.DATE, defaultValue);
} | java | @Deprecated
public static Date getDate(HttpMessage message, Date defaultValue) {
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/Task.java | Task.failExternally | @Override
public void failExternally(Throwable cause) {
LOG.info("Attempting to fail task externally {} ({}).", taskNameWithSubtask, executionId);
cancelOrFailAndCancelInvokable(ExecutionState.FAILED, cause);
} | java | @Override
public void failExternally(Throwable cause) {
LOG.info("Attempting to fail task externally {} ({}).", taskNameWithSubtask, executionId);
cancelOrFailAndCancelInvokable(ExecutionState.FAILED, cause);
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spring-projects/spring-boot | spring-boot-project/spring-boot-actuator-autoconfigure/src/main/java/org/springframework/boot/actuate/autoconfigure/cloudfoundry/servlet/CloudFoundrySecurityService.java | CloudFoundrySecurityService.getUaaUrl | public String getUaaUrl() {
if (this.uaaUrl == null) {
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Map<?, ?> response = this.restTemplate
.getForObject(this.cloudControllerUrl + "/info", Map.class);
this.uaaUrl = (String) response.get("token_endpoint");
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catch (HttpStatusCodeException ex) {
throw new CloudFoundryAuthorizationException(Reason.SERVICE_UNAVAILABLE,
"Unable to fetch token keys from UAA");
}
}
return this.uaaUrl;
} | java | public String getUaaUrl() {
if (this.uaaUrl == null) {
try {
Map<?, ?> response = this.restTemplate
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this.uaaUrl = (String) response.get("token_endpoint");
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apache/incubator-shardingsphere | sharding-jdbc/sharding-jdbc-orchestration/src/main/java/org/apache/shardingsphere/shardingjdbc/orchestration/internal/datasource/OrchestrationShardingDataSource.java | OrchestrationShardingDataSource.renew | @Subscribe
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((OrchestrationMasterSlaveRule) each).updateDisabledDataSourceNames(shardingSchema.getDataSourceName(), disabledStateChangedEvent.isDisabled());
}
}
} | java | @Subscribe
public synchronized void renew(final DisabledStateChangedEvent disabledStateChangedEvent) {
OrchestrationShardingSchema shardingSchema = disabledStateChangedEvent.getShardingSchema();
if (ShardingConstant.LOGIC_SCHEMA_NAME.equals(shardingSchema.getSchemaName())) {
for (MasterSlaveRule each : dataSource.getShardingContext().getShardingRule().getMasterSlaveRules()) {
((OrchestrationMasterSlaveRule) each).updateDisabledDataSourceNames(shardingSchema.getDataSourceName(), disabledStateChangedEvent.isDisabled());
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/builder/HashCodeBuilder.java | HashCodeBuilder.unregister | static void unregister(final Object value) {
Set<IDKey> registry = getRegistry();
if (registry != null) {
registry.remove(new IDKey(value));
synchronized (HashCodeBuilder.class) {
//read again
registry = getRegistry();
if (registry != null && registry.isEmpty()) {
REGISTRY.remove();
}
}
}
} | java | static void unregister(final Object value) {
Set<IDKey> registry = getRegistry();
if (registry != null) {
registry.remove(new IDKey(value));
synchronized (HashCodeBuilder.class) {
//read again
registry = getRegistry();
if (registry != null && registry.isEmpty()) {
REGISTRY.remove();
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}
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] | bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a | https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/builder/HashCodeBuilder.java#L491-L503 | train | Unregister a value from the cache. | [
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looly/hutool | hutool-poi/src/main/java/cn/hutool/poi/excel/sax/Excel03SaxReader.java | Excel03SaxReader.processLastCell | private void processLastCell(LastCellOfRowDummyRecord lastCell) {
// 每行结束时， 调用handle() 方法
this.rowHandler.handle(curSheetIndex, lastCell.getRow(), this.rowCellList);
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this.rowCellList.clear();
} | java | private void processLastCell(LastCellOfRowDummyRecord lastCell) {
// 每行结束时， 调用handle() 方法
this.rowHandler.handle(curSheetIndex, lastCell.getRow(), this.rowCellList);
// 清空行Cache
this.rowCellList.clear();
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alibaba/canal | dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java | LogBuffer.getFullString | public final String getFullString(final int len, String charsetName) {
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String string = new String(buffer, position, len, charsetName);
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apache/flink | flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/join/WindowJoin.java | WindowJoin.main | public static void main(String[] args) throws Exception {
// parse the parameters
final ParameterTool params = ParameterTool.fromArgs(args);
final long windowSize = params.getLong("windowSize", 2000);
final long rate = params.getLong("rate", 3L);
System.out.println("Using windowSize=" + windowSize + ", data rate=" + rate);
System.out.println("To customize example, use: WindowJoin [--windowSize <window-size-in-millis>] [--rate <elements-per-second>]");
// obtain execution environment, run this example in "ingestion time"
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
// make parameters available in the web interface
env.getConfig().setGlobalJobParameters(params);
// create the data sources for both grades and salaries
DataStream<Tuple2<String, Integer>> grades = GradeSource.getSource(env, rate);
DataStream<Tuple2<String, Integer>> salaries = SalarySource.getSource(env, rate);
// run the actual window join program
// for testability, this functionality is in a separate method.
DataStream<Tuple3<String, Integer, Integer>> joinedStream = runWindowJoin(grades, salaries, windowSize);
// print the results with a single thread, rather than in parallel
joinedStream.print().setParallelism(1);
// execute program
env.execute("Windowed Join Example");
} | java | public static void main(String[] args) throws Exception {
// parse the parameters
final ParameterTool params = ParameterTool.fromArgs(args);
final long windowSize = params.getLong("windowSize", 2000);
final long rate = params.getLong("rate", 3L);
System.out.println("Using windowSize=" + windowSize + ", data rate=" + rate);
System.out.println("To customize example, use: WindowJoin [--windowSize <window-size-in-millis>] [--rate <elements-per-second>]");
// obtain execution environment, run this example in "ingestion time"
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
// make parameters available in the web interface
env.getConfig().setGlobalJobParameters(params);
// create the data sources for both grades and salaries
DataStream<Tuple2<String, Integer>> grades = GradeSource.getSource(env, rate);
DataStream<Tuple2<String, Integer>> salaries = SalarySource.getSource(env, rate);
// run the actual window join program
// for testability, this functionality is in a separate method.
DataStream<Tuple3<String, Integer, Integer>> joinedStream = runWindowJoin(grades, salaries, windowSize);
// print the results with a single thread, rather than in parallel
joinedStream.print().setParallelism(1);
// execute program
env.execute("Windowed Join Example");
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netty/netty | handler/src/main/java/io/netty/handler/logging/LoggingHandler.java | LoggingHandler.formatByteBuf | private static String formatByteBuf(ChannelHandlerContext ctx, String eventName, ByteBuf msg) {
String chStr = ctx.channel().toString();
int length = msg.readableBytes();
if (length == 0) {
StringBuilder buf = new StringBuilder(chStr.length() + 1 + eventName.length() + 4);
buf.append(chStr).append(' ').append(eventName).append(": 0B");
return buf.toString();
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int rows = length / 16 + (length % 15 == 0? 0 : 1) + 4;
StringBuilder buf = new StringBuilder(chStr.length() + 1 + eventName.length() + 2 + 10 + 1 + 2 + rows * 80);
buf.append(chStr).append(' ').append(eventName).append(": ").append(length).append('B').append(NEWLINE);
appendPrettyHexDump(buf, msg);
return buf.toString();
}
} | java | private static String formatByteBuf(ChannelHandlerContext ctx, String eventName, ByteBuf msg) {
String chStr = ctx.channel().toString();
int length = msg.readableBytes();
if (length == 0) {
StringBuilder buf = new StringBuilder(chStr.length() + 1 + eventName.length() + 4);
buf.append(chStr).append(' ').append(eventName).append(": 0B");
return buf.toString();
} else {
int rows = length / 16 + (length % 15 == 0? 0 : 1) + 4;
StringBuilder buf = new StringBuilder(chStr.length() + 1 + eventName.length() + 2 + 10 + 1 + 2 + rows * 80);
buf.append(chStr).append(' ').append(eventName).append(": ").append(length).append('B').append(NEWLINE);
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/iterative/concurrent/Broker.java | Broker.getAndRemove | public V getAndRemove(String key) {
try {
V objToShare = retrieveSharedQueue(key).take();
mediations.remove(key);
return objToShare;
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
} | java | public V getAndRemove(String key) {
try {
V objToShare = retrieveSharedQueue(key).take();
mediations.remove(key);
return objToShare;
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throw new RuntimeException(e);
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netty/netty | common/src/main/java/io/netty/util/AsciiString.java | AsciiString.contentEqualsIgnoreCase | public static boolean contentEqualsIgnoreCase(CharSequence a, CharSequence b) {
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if (a.getClass() == AsciiString.class) {
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/AsynchronousBufferFileWriter.java | AsynchronousBufferFileWriter.writeBlock | @Override
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try {
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addRequest(new BufferWriteRequest(this, buffer));
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// if not added, we need to recycle here
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spring-projects/spring-boot | spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/client/RestTemplateBuilder.java | RestTemplateBuilder.customizers | public RestTemplateBuilder customizers(
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Collection<? extends RestTemplateCustomizer> restTemplateCustomizers) {
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apache/spark | core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java | TaskMemoryManager.getOffsetInPage | public long getOffsetInPage(long pagePlusOffsetAddress) {
final long offsetInPage = decodeOffset(pagePlusOffsetAddress);
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final long offsetInPage = decodeOffset(pagePlusOffsetAddress);
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return offsetInPage;
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// In off-heap mode, an offset is an absolute address. In encodePageNumberAndOffset, we
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/state/KeyGroupRangeAssignment.java | KeyGroupRangeAssignment.assignKeyToParallelOperator | public static int assignKeyToParallelOperator(Object key, int maxParallelism, int parallelism) {
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spring-projects/spring-boot | spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/main/java/org/springframework/boot/configurationprocessor/TypeUtils.java | TypeUtils.extractElementType | public TypeMirror extractElementType(TypeMirror type) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java | FileUtil.readUtf8Lines | public static <T extends Collection<String>> T readUtf8Lines(URL url, T collection) throws IORuntimeException {
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spring-projects/spring-boot | spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatServletWebServerFactory.java | TomcatServletWebServerFactory.setTldSkipPatterns | public void setTldSkipPatterns(Collection<String> patterns) {
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netty/netty | codec-http2/src/main/java/io/netty/handler/codec/http2/Http2ConnectionHandler.java | Http2ConnectionHandler.onError | @Override
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Http2Exception embedded = getEmbeddedHttp2Exception(cause);
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onConnectionError(ctx, outbound, cause, embedded);
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ctx.flush();
} | java | @Override
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onStreamError(ctx, outbound, cause, (StreamException) embedded);
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apache/flink | flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/restore/RocksDBFullRestoreOperation.java | RocksDBFullRestoreOperation.restoreKVStateMetaData | private void restoreKVStateMetaData() throws IOException, StateMigrationException {
KeyedBackendSerializationProxy<K> serializationProxy = readMetaData(currentStateHandleInView);
this.keygroupStreamCompressionDecorator = serializationProxy.isUsingKeyGroupCompression() ?
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currentStateHandleKVStateColumnFamilies.add(registeredStateCFHandle.columnFamilyHandle);
}
} | java | private void restoreKVStateMetaData() throws IOException, StateMigrationException {
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] | b62db93bf63cb3bb34dd03d611a779d9e3fc61ac | https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/restore/RocksDBFullRestoreOperation.java#L169-L184 | train | Restore the KV state meta data from the state file. | [
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looly/hutool | hutool-setting/src/main/java/cn/hutool/setting/AbsSetting.java | AbsSetting.getBool | public Boolean getBool(String key, String group, Boolean defaultValue) {
return Convert.toBool(getByGroup(key, group), defaultValue);
} | java | public Boolean getBool(String key, String group, Boolean defaultValue) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java | ImgUtil.pressImage | public static void pressImage(Image srcImage, OutputStream out, Image pressImg, int x, int y, float alpha) throws IORuntimeException {
pressImage(srcImage, getImageOutputStream(out), pressImg, x, y, alpha);
} | java | public static void pressImage(Image srcImage, OutputStream out, Image pressImg, int x, int y, float alpha) throws IORuntimeException {
pressImage(srcImage, getImageOutputStream(out), pressImg, x, y, alpha);
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java | IOUtil.readTxt | public static String readTxt(String path)
{
if (path == null) return null;
try
{
InputStream in = IOAdapter == null ? new FileInputStream(path) :
IOAdapter.open(path);
byte[] fileContent = new byte[in.available()];
int read = readBytesFromOtherInputStream(in, fileContent);
in.close();
// 处理 UTF-8 BOM
if (read >= 3 && fileContent[0] == -17 && fileContent[1] == -69 && fileContent[2] == -65)
return new String(fileContent, 3, fileContent.length - 3, Charset.forName("UTF-8"));
return new String(fileContent, Charset.forName("UTF-8"));
}
catch (FileNotFoundException e)
{
logger.warning("找不到" + path + e);
return null;
}
catch (IOException e)
{
logger.warning("读取" + path + "发生IO异常" + e);
return null;
}
} | java | public static String readTxt(String path)
{
if (path == null) return null;
try
{
InputStream in = IOAdapter == null ? new FileInputStream(path) :
IOAdapter.open(path);
byte[] fileContent = new byte[in.available()];
int read = readBytesFromOtherInputStream(in, fileContent);
in.close();
// 处理 UTF-8 BOM
if (read >= 3 && fileContent[0] == -17 && fileContent[1] == -69 && fileContent[2] == -65)
return new String(fileContent, 3, fileContent.length - 3, Charset.forName("UTF-8"));
return new String(fileContent, Charset.forName("UTF-8"));
}
catch (FileNotFoundException e)
{
logger.warning("找不到" + path + e);
return null;
}
catch (IOException e)
{
logger.warning("读取" + path + "发生IO异常" + e);
return null;
}
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/security/SecurityUtils.java | SecurityUtils.install | public static void install(SecurityConfiguration config) throws Exception {
// install the security modules
List<SecurityModule> modules = new ArrayList<>();
try {
for (SecurityModuleFactory moduleFactory : config.getSecurityModuleFactories()) {
SecurityModule module = moduleFactory.createModule(config);
// can be null if a SecurityModule is not supported in the current environment
if (module != null) {
module.install();
modules.add(module);
}
}
}
catch (Exception ex) {
throw new Exception("unable to establish the security context", ex);
}
installedModules = modules;
// First check if we have Hadoop in the ClassPath. If not, we simply don't do anything.
try {
Class.forName(
"org.apache.hadoop.security.UserGroupInformation",
false,
SecurityUtils.class.getClassLoader());
// install a security context
// use the Hadoop login user as the subject of the installed security context
if (!(installedContext instanceof NoOpSecurityContext)) {
LOG.warn("overriding previous security context");
}
UserGroupInformation loginUser = UserGroupInformation.getLoginUser();
installedContext = new HadoopSecurityContext(loginUser);
} catch (ClassNotFoundException e) {
LOG.info("Cannot install HadoopSecurityContext because Hadoop cannot be found in the Classpath.");
} catch (LinkageError e) {
LOG.error("Cannot install HadoopSecurityContext.", e);
}
} | java | public static void install(SecurityConfiguration config) throws Exception {
// install the security modules
List<SecurityModule> modules = new ArrayList<>();
try {
for (SecurityModuleFactory moduleFactory : config.getSecurityModuleFactories()) {
SecurityModule module = moduleFactory.createModule(config);
// can be null if a SecurityModule is not supported in the current environment
if (module != null) {
module.install();
modules.add(module);
}
}
}
catch (Exception ex) {
throw new Exception("unable to establish the security context", ex);
}
installedModules = modules;
// First check if we have Hadoop in the ClassPath. If not, we simply don't do anything.
try {
Class.forName(
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false,
SecurityUtils.class.getClassLoader());
// install a security context
// use the Hadoop login user as the subject of the installed security context
if (!(installedContext instanceof NoOpSecurityContext)) {
LOG.warn("overriding previous security context");
}
UserGroupInformation loginUser = UserGroupInformation.getLoginUser();
installedContext = new HadoopSecurityContext(loginUser);
} catch (ClassNotFoundException e) {
LOG.info("Cannot install HadoopSecurityContext because Hadoop cannot be found in the Classpath.");
} catch (LinkageError e) {
LOG.error("Cannot install HadoopSecurityContext.", e);
}
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SeleniumHQ/selenium | java/client/src/org/openqa/selenium/chrome/ChromeOptions.java | ChromeOptions.addEncodedExtensions | public ChromeOptions addEncodedExtensions(List<String> encoded) {
for (String extension : encoded) {
checkNotNull(extension);
}
extensions.addAll(encoded);
return this;
} | java | public ChromeOptions addEncodedExtensions(List<String> encoded) {
for (String extension : encoded) {
checkNotNull(extension);
}
extensions.addAll(encoded);
return this;
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apache/spark | sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java | VectorizedRleValuesReader.readUnsignedVarInt | private int readUnsignedVarInt() throws IOException {
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int shift = 0;
int b;
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shift += 7;
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apache/flink | flink-formats/flink-avro-confluent-registry/src/main/java/org/apache/flink/formats/avro/registry/confluent/ConfluentRegistryAvroDeserializationSchema.java | ConfluentRegistryAvroDeserializationSchema.forGeneric | public static ConfluentRegistryAvroDeserializationSchema<GenericRecord> forGeneric(Schema schema, String url,
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/TimeBoundedStreamJoin.java | TimeBoundedStreamJoin.calExpirationTime | private long calExpirationTime(long operatorTime, long relativeSize) {
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} | java | private long calExpirationTime(long operatorTime, long relativeSize) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/Assert.java | Assert.notEmpty | public static <T> Collection<T> notEmpty(Collection<T> collection) throws IllegalArgumentException {
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looly/hutool | hutool-db/src/main/java/cn/hutool/db/handler/HandleHelper.java | HandleHelper.handleRow | public static Entity handleRow(ResultSet rs) throws SQLException {
final ResultSetMetaData meta = rs.getMetaData();
final int columnCount = meta.getColumnCount();
return handleRow(columnCount, meta, rs);
} | java | public static Entity handleRow(ResultSet rs) throws SQLException {
final ResultSetMetaData meta = rs.getMetaData();
final int columnCount = meta.getColumnCount();
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java | ImgUtil.createGraphics | public static Graphics2D createGraphics(BufferedImage image, Color color) {
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spring-projects/spring-boot | spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/endpoint/invoker/cache/CachingOperationInvoker.java | CachingOperationInvoker.apply | public static OperationInvoker apply(OperationInvoker invoker, long timeToLive) {
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netty/netty | common/src/main/java/io/netty/util/internal/logging/CommonsLogger.java | CommonsLogger.error | @Override
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apache/flink | flink-core/src/main/java/org/apache/flink/util/AbstractID.java | AbstractID.getBytes | public byte[] getBytes() {
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byte[] bytes = new byte[SIZE];
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redisson/redisson | redisson/src/main/java/org/redisson/executor/TasksRunnerService.java | TasksRunnerService.asyncScheduledServiceAtFixed | private RemoteExecutorServiceAsync asyncScheduledServiceAtFixed(String executorId, String requestId) {
ScheduledTasksService scheduledRemoteService = new ScheduledTasksService(codec, name, commandExecutor, executorId, responses);
scheduledRemoteService.setTerminationTopicName(terminationTopicName);
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return asyncScheduledServiceAtFixed;
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scheduledRemoteService.setStatusName(statusName);
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looly/hutool | hutool-crypto/src/main/java/cn/hutool/crypto/symmetric/SymmetricCrypto.java | SymmetricCrypto.decryptStr | public String decryptStr(String data, Charset charset) {
return StrUtil.str(decrypt(data), charset);
} | java | public String decryptStr(String data, Charset charset) {
return StrUtil.str(decrypt(data), charset);
} | [
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apache/flink | flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/network/AbstractServerBase.java | AbstractServerBase.shutdownServer | public CompletableFuture<Void> shutdownServer() {
CompletableFuture<Void> shutdownFuture = new CompletableFuture<>();
if (serverShutdownFuture.compareAndSet(null, shutdownFuture)) {
log.info("Shutting down {} @ {}", serverName, serverAddress);
final CompletableFuture<Void> groupShutdownFuture = new CompletableFuture<>();
if (bootstrap != null) {
EventLoopGroup group = bootstrap.group();
if (group != null && !group.isShutdown()) {
group.shutdownGracefully(0L, 0L, TimeUnit.MILLISECONDS)
.addListener(finished -> {
if (finished.isSuccess()) {
groupShutdownFuture.complete(null);
} else {
groupShutdownFuture.completeExceptionally(finished.cause());
}
});
} else {
groupShutdownFuture.complete(null);
}
} else {
groupShutdownFuture.complete(null);
}
final CompletableFuture<Void> handlerShutdownFuture = new CompletableFuture<>();
if (handler == null) {
handlerShutdownFuture.complete(null);
} else {
handler.shutdown().whenComplete((result, throwable) -> {
if (throwable != null) {
handlerShutdownFuture.completeExceptionally(throwable);
} else {
handlerShutdownFuture.complete(null);
}
});
}
final CompletableFuture<Void> queryExecShutdownFuture = CompletableFuture.runAsync(() -> {
if (queryExecutor != null) {
ExecutorUtils.gracefulShutdown(10L, TimeUnit.MINUTES, queryExecutor);
}
});
CompletableFuture.allOf(
queryExecShutdownFuture, groupShutdownFuture, handlerShutdownFuture
).whenComplete((result, throwable) -> {
if (throwable != null) {
shutdownFuture.completeExceptionally(throwable);
} else {
shutdownFuture.complete(null);
}
});
}
return serverShutdownFuture.get();
} | java | public CompletableFuture<Void> shutdownServer() {
CompletableFuture<Void> shutdownFuture = new CompletableFuture<>();
if (serverShutdownFuture.compareAndSet(null, shutdownFuture)) {
log.info("Shutting down {} @ {}", serverName, serverAddress);
final CompletableFuture<Void> groupShutdownFuture = new CompletableFuture<>();
if (bootstrap != null) {
EventLoopGroup group = bootstrap.group();
if (group != null && !group.isShutdown()) {
group.shutdownGracefully(0L, 0L, TimeUnit.MILLISECONDS)
.addListener(finished -> {
if (finished.isSuccess()) {
groupShutdownFuture.complete(null);
} else {
groupShutdownFuture.completeExceptionally(finished.cause());
}
});
} else {
groupShutdownFuture.complete(null);
}
} else {
groupShutdownFuture.complete(null);
}
final CompletableFuture<Void> handlerShutdownFuture = new CompletableFuture<>();
if (handler == null) {
handlerShutdownFuture.complete(null);
} else {
handler.shutdown().whenComplete((result, throwable) -> {
if (throwable != null) {
handlerShutdownFuture.completeExceptionally(throwable);
} else {
handlerShutdownFuture.complete(null);
}
});
}
final CompletableFuture<Void> queryExecShutdownFuture = CompletableFuture.runAsync(() -> {
if (queryExecutor != null) {
ExecutorUtils.gracefulShutdown(10L, TimeUnit.MINUTES, queryExecutor);
}
});
CompletableFuture.allOf(
queryExecShutdownFuture, groupShutdownFuture, handlerShutdownFuture
).whenComplete((result, throwable) -> {
if (throwable != null) {
shutdownFuture.completeExceptionally(throwable);
} else {
shutdownFuture.complete(null);
}
});
}
return serverShutdownFuture.get();
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looly/hutool | hutool-json/src/main/java/cn/hutool/json/JSONObject.java | JSONObject.populateMap | private void populateMap(Object bean) {
final Collection<PropDesc> props = BeanUtil.getBeanDesc(bean.getClass()).getProps();
Method getter;
Object value;
for (PropDesc prop : props) {
// 得到property对应的getter方法
getter = prop.getGetter();
if (null == getter) {
// 无Getter跳过
continue;
}
// 只读取有getter方法的属性
try {
value = getter.invoke(bean);
} catch (Exception ignore) {
// 忽略读取失败的属性
continue;
}
if (ObjectUtil.isNull(value) && this.config.isIgnoreNullValue()) {
// 值为null且用户定义跳过则跳过
continue;
}
if (value != bean) {
// 防止循环引用
this.rawHashMap.put(prop.getFieldName(), JSONUtil.wrap(value, this.config.isIgnoreNullValue()));
}
}
} | java | private void populateMap(Object bean) {
final Collection<PropDesc> props = BeanUtil.getBeanDesc(bean.getClass()).getProps();
Method getter;
Object value;
for (PropDesc prop : props) {
// 得到property对应的getter方法
getter = prop.getGetter();
if (null == getter) {
// 无Getter跳过
continue;
}
// 只读取有getter方法的属性
try {
value = getter.invoke(bean);
} catch (Exception ignore) {
// 忽略读取失败的属性
continue;
}
if (ObjectUtil.isNull(value) && this.config.isIgnoreNullValue()) {
// 值为null且用户定义跳过则跳过
continue;
}
if (value != bean) {
// 防止循环引用
this.rawHashMap.put(prop.getFieldName(), JSONUtil.wrap(value, this.config.isIgnoreNullValue()));
}
}
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@param ignoreNullValue 是否忽略空值 | [
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/util/collections/FloatHashSet.java | FloatHashSet.contains | public boolean contains(final float k) {
int intKey = Float.floatToIntBits(k);
if (intKey == 0) {
return this.containsZero;
} else {
float[] key = this.key;
int curr;
int pos;
if ((curr = Float.floatToIntBits(key[pos = MurmurHashUtil.fmix(intKey) & this.mask])) == 0) {
return false;
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return true;
} else {
while ((curr = Float.floatToIntBits(key[pos = pos + 1 & this.mask])) != 0) {
if (intKey == curr) {
return true;
}
}
return false;
}
}
} | java | public boolean contains(final float k) {
int intKey = Float.floatToIntBits(k);
if (intKey == 0) {
return this.containsZero;
} else {
float[] key = this.key;
int curr;
int pos;
if ((curr = Float.floatToIntBits(key[pos = MurmurHashUtil.fmix(intKey) & this.mask])) == 0) {
return false;
} else if (intKey == curr) {
return true;
} else {
while ((curr = Float.floatToIntBits(key[pos = pos + 1 & this.mask])) != 0) {
if (intKey == curr) {
return true;
}
}
return false;
}
}
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apache/flink | flink-connectors/flink-connector-cassandra/src/main/java/org/apache/flink/streaming/connectors/cassandra/CassandraSink.java | CassandraSink.setUidHash | @PublicEvolving
public CassandraSink<IN> setUidHash(String uidHash) {
if (useDataStreamSink) {
getSinkTransformation().setUidHash(uidHash);
} else {
getStreamTransformation().setUidHash(uidHash);
}
return this;
} | java | @PublicEvolving
public CassandraSink<IN> setUidHash(String uidHash) {
if (useDataStreamSink) {
getSinkTransformation().setUidHash(uidHash);
} else {
getStreamTransformation().setUidHash(uidHash);
}
return this;
} | [
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@param uidHash The user provided hash for this operator. This will become the JobVertexID, which is shown in the
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@return The operator with the user provided hash. | [
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looly/hutool | hutool-http/src/main/java/cn/hutool/http/HtmlUtil.java | HtmlUtil.encode | private static String encode(String text, char[][] array) {
int len;
if ((text == null) || ((len = text.length()) == 0)) {
return StrUtil.EMPTY;
}
StringBuilder buffer = new StringBuilder(len + (len >> 2));
char c;
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c = text.charAt(i);
if (c < 64) {
buffer.append(array[c]);
} else {
buffer.append(c);
}
}
return buffer.toString();
} | java | private static String encode(String text, char[][] array) {
int len;
if ((text == null) || ((len = text.length()) == 0)) {
return StrUtil.EMPTY;
}
StringBuilder buffer = new StringBuilder(len + (len >> 2));
char c;
for (int i = 0; i < len; i++) {
c = text.charAt(i);
if (c < 64) {
buffer.append(array[c]);
} else {
buffer.append(c);
}
}
return buffer.toString();
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/TaskManagerLocation.java | TaskManagerLocation.getFqdnHostName | private static String getFqdnHostName(InetAddress inetAddress) {
String fqdnHostName;
try {
fqdnHostName = inetAddress.getCanonicalHostName();
} catch (Throwable t) {
LOG.warn("Unable to determine the canonical hostname. Input split assignment (such as " +
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LOG.debug("getCanonicalHostName() Exception:", t);
fqdnHostName = inetAddress.getHostAddress();
}
return fqdnHostName;
} | java | private static String getFqdnHostName(InetAddress inetAddress) {
String fqdnHostName;
try {
fqdnHostName = inetAddress.getCanonicalHostName();
} catch (Throwable t) {
LOG.warn("Unable to determine the canonical hostname. Input split assignment (such as " +
"for HDFS files) may be non-local when the canonical hostname is missing.");
LOG.debug("getCanonicalHostName() Exception:", t);
fqdnHostName = inetAddress.getHostAddress();
}
return fqdnHostName;
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alibaba/canal | sink/src/main/java/com/alibaba/otter/canal/sink/entry/group/TimelineBarrier.java | TimelineBarrier.await | public void await(Event event, long timeout, TimeUnit unit) throws InterruptedException, TimeoutException {
long timestamp = getTimestamp(event);
try {
lock.lockInterruptibly();
single(timestamp);
while (isPermit(event, timestamp) == false) {
condition.await(timeout, unit);
}
} finally {
lock.unlock();
}
} | java | public void await(Event event, long timeout, TimeUnit unit) throws InterruptedException, TimeoutException {
long timestamp = getTimestamp(event);
try {
lock.lockInterruptibly();
single(timestamp);
while (isPermit(event, timestamp) == false) {
condition.await(timeout, unit);
}
} finally {
lock.unlock();
}
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apache/flink | flink-core/src/main/java/org/apache/flink/api/common/operators/GenericDataSinkBase.java | GenericDataSinkBase.executeOnCollections | @SuppressWarnings("unchecked")
protected void executeOnCollections(List<IN> inputData, RuntimeContext ctx, ExecutionConfig executionConfig) throws Exception {
OutputFormat<IN> format = this.formatWrapper.getUserCodeObject();
TypeInformation<IN> inputType = getInput().getOperatorInfo().getOutputType();
if (this.localOrdering != null) {
int[] sortColumns = this.localOrdering.getFieldPositions();
boolean[] sortOrderings = this.localOrdering.getFieldSortDirections();
final TypeComparator<IN> sortComparator;
if (inputType instanceof CompositeType) {
sortComparator = ((CompositeType<IN>) inputType).createComparator(sortColumns, sortOrderings, 0, executionConfig);
} else if (inputType instanceof AtomicType) {
sortComparator = ((AtomicType<IN>) inputType).createComparator(sortOrderings[0], executionConfig);
} else {
throw new UnsupportedOperationException("Local output sorting does not support type "+inputType+" yet.");
}
Collections.sort(inputData, new Comparator<IN>() {
@Override
public int compare(IN o1, IN o2) {
return sortComparator.compare(o1, o2);
}
});
}
if(format instanceof InitializeOnMaster) {
((InitializeOnMaster)format).initializeGlobal(1);
}
format.configure(this.parameters);
if(format instanceof RichOutputFormat){
((RichOutputFormat<?>) format).setRuntimeContext(ctx);
}
format.open(0, 1);
for (IN element : inputData) {
format.writeRecord(element);
}
format.close();
if(format instanceof FinalizeOnMaster) {
((FinalizeOnMaster)format).finalizeGlobal(1);
}
} | java | @SuppressWarnings("unchecked")
protected void executeOnCollections(List<IN> inputData, RuntimeContext ctx, ExecutionConfig executionConfig) throws Exception {
OutputFormat<IN> format = this.formatWrapper.getUserCodeObject();
TypeInformation<IN> inputType = getInput().getOperatorInfo().getOutputType();
if (this.localOrdering != null) {
int[] sortColumns = this.localOrdering.getFieldPositions();
boolean[] sortOrderings = this.localOrdering.getFieldSortDirections();
final TypeComparator<IN> sortComparator;
if (inputType instanceof CompositeType) {
sortComparator = ((CompositeType<IN>) inputType).createComparator(sortColumns, sortOrderings, 0, executionConfig);
} else if (inputType instanceof AtomicType) {
sortComparator = ((AtomicType<IN>) inputType).createComparator(sortOrderings[0], executionConfig);
} else {
throw new UnsupportedOperationException("Local output sorting does not support type "+inputType+" yet.");
}
Collections.sort(inputData, new Comparator<IN>() {
@Override
public int compare(IN o1, IN o2) {
return sortComparator.compare(o1, o2);
}
});
}
if(format instanceof InitializeOnMaster) {
((InitializeOnMaster)format).initializeGlobal(1);
}
format.configure(this.parameters);
if(format instanceof RichOutputFormat){
((RichOutputFormat<?>) format).setRuntimeContext(ctx);
}
format.open(0, 1);
for (IN element : inputData) {
format.writeRecord(element);
}
format.close();
if(format instanceof FinalizeOnMaster) {
((FinalizeOnMaster)format).finalizeGlobal(1);
}
} | [
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apache/spark | common/network-shuffle/src/main/java/org/apache/spark/network/sasl/ShuffleSecretManager.java | ShuffleSecretManager.registerApp | public void registerApp(String appId, ByteBuffer shuffleSecret) {
registerApp(appId, JavaUtils.bytesToString(shuffleSecret));
} | java | public void registerApp(String appId, ByteBuffer shuffleSecret) {
registerApp(appId, JavaUtils.bytesToString(shuffleSecret));
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] | 25ee0474f47d9c30d6f553a7892d9549f91071cf | https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-shuffle/src/main/java/org/apache/spark/network/sasl/ShuffleSecretManager.java#L60-L62 | train | Register an application with the given secret. | [
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looly/hutool | hutool-crypto/src/main/java/cn/hutool/crypto/KeyUtil.java | KeyUtil.getKeyGenerator | public static KeyGenerator getKeyGenerator(String algorithm) {
final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider();
KeyGenerator generator;
try {
generator = (null == provider) //
? KeyGenerator.getInstance(getMainAlgorithm(algorithm)) //
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} catch (NoSuchAlgorithmException e) {
throw new CryptoException(e);
}
return generator;
} | java | public static KeyGenerator getKeyGenerator(String algorithm) {
final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider();
KeyGenerator generator;
try {
generator = (null == provider) //
? KeyGenerator.getInstance(getMainAlgorithm(algorithm)) //
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} catch (NoSuchAlgorithmException e) {
throw new CryptoException(e);
}
return generator;
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SeleniumHQ/selenium | java/server/src/org/openqa/selenium/remote/server/log/PerSessionLogHandler.java | PerSessionLogHandler.getLog | public synchronized String getLog(SessionId sessionId) throws IOException {
// TODO(chandra): Provide option to clear logs after getLog()
String logs = formattedRecords(sessionId);
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return logs;
} | java | public synchronized String getLog(SessionId sessionId) throws IOException {
// TODO(chandra): Provide option to clear logs after getLog()
String logs = formattedRecords(sessionId);
logs = "\n<RC_Logs RC_Session_ID=" + sessionId + ">\n" + logs
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return logs;
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/model/perceptron/model/LinearModel.java | LinearModel.update | public void update(Collection<Integer> x, int y)
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assert y == 1 || y == -1 : "感知机的标签y必须是±1";
for (Integer f : x)
parameter[f] += y;
} | java | public void update(Collection<Integer> x, int y)
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assert y == 1 || y == -1 : "感知机的标签y必须是±1";
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parameter[f] += y;
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apache/flink | flink-mesos/src/main/java/org/apache/flink/mesos/runtime/clusterframework/services/MesosServicesUtils.java | MesosServicesUtils.createMesosServices | public static MesosServices createMesosServices(Configuration configuration, String hostname) throws Exception {
ActorSystem localActorSystem = AkkaUtils.createLocalActorSystem(configuration);
MesosArtifactServer artifactServer = createArtifactServer(configuration, hostname);
HighAvailabilityMode highAvailabilityMode = HighAvailabilityMode.fromConfig(configuration);
switch (highAvailabilityMode) {
case NONE:
return new StandaloneMesosServices(localActorSystem, artifactServer);
case ZOOKEEPER:
final String zkMesosRootPath = configuration.getString(
HighAvailabilityOptions.HA_ZOOKEEPER_MESOS_WORKERS_PATH);
ZooKeeperUtilityFactory zooKeeperUtilityFactory = new ZooKeeperUtilityFactory(
configuration,
zkMesosRootPath);
return new ZooKeeperMesosServices(localActorSystem, artifactServer, zooKeeperUtilityFactory);
default:
throw new Exception("High availability mode " + highAvailabilityMode + " is not supported.");
}
} | java | public static MesosServices createMesosServices(Configuration configuration, String hostname) throws Exception {
ActorSystem localActorSystem = AkkaUtils.createLocalActorSystem(configuration);
MesosArtifactServer artifactServer = createArtifactServer(configuration, hostname);
HighAvailabilityMode highAvailabilityMode = HighAvailabilityMode.fromConfig(configuration);
switch (highAvailabilityMode) {
case NONE:
return new StandaloneMesosServices(localActorSystem, artifactServer);
case ZOOKEEPER:
final String zkMesosRootPath = configuration.getString(
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ZooKeeperUtilityFactory zooKeeperUtilityFactory = new ZooKeeperUtilityFactory(
configuration,
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return new ZooKeeperMesosServices(localActorSystem, artifactServer, zooKeeperUtilityFactory);
default:
throw new Exception("High availability mode " + highAvailabilityMode + " is not supported.");
}
} | [
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/slotmanager/SlotManager.java | SlotManager.registerSlotRequest | public boolean registerSlotRequest(SlotRequest slotRequest) throws SlotManagerException {
checkInit();
if (checkDuplicateRequest(slotRequest.getAllocationId())) {
LOG.debug("Ignoring a duplicate slot request with allocation id {}.", slotRequest.getAllocationId());
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pendingSlotRequests.put(slotRequest.getAllocationId(), pendingSlotRequest);
try {
internalRequestSlot(pendingSlotRequest);
} catch (ResourceManagerException e) {
// requesting the slot failed --> remove pending slot request
pendingSlotRequests.remove(slotRequest.getAllocationId());
throw new SlotManagerException("Could not fulfill slot request " + slotRequest.getAllocationId() + '.', e);
}
return true;
}
} | java | public boolean registerSlotRequest(SlotRequest slotRequest) throws SlotManagerException {
checkInit();
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LOG.debug("Ignoring a duplicate slot request with allocation id {}.", slotRequest.getAllocationId());
return false;
} else {
PendingSlotRequest pendingSlotRequest = new PendingSlotRequest(slotRequest);
pendingSlotRequests.put(slotRequest.getAllocationId(), pendingSlotRequest);
try {
internalRequestSlot(pendingSlotRequest);
} catch (ResourceManagerException e) {
// requesting the slot failed --> remove pending slot request
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/KeyedStream.java | KeyedStream.countWindow | public WindowedStream<T, KEY, GlobalWindow> countWindow(long size, long slide) {
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.trigger(CountTrigger.of(slide));
} | java | public WindowedStream<T, KEY, GlobalWindow> countWindow(long size, long slide) {
return window(GlobalWindows.create())
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/convert/NumberWordFormater.java | NumberWordFormater.transThree | private static String transThree(String s) {
String value = "";
if (s.startsWith("0")) {// 是否小於100
value = transTwo(s.substring(1));
} else if (s.substring(1).equals("00")) {// 是否被100整除
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value = parseFirst(s.substring(0, 1)) + " HUNDRED AND " + transTwo(s.substring(1));
}
return value;
} | java | private static String transThree(String s) {
String value = "";
if (s.startsWith("0")) {// 是否小於100
value = transTwo(s.substring(1));
} else if (s.substring(1).equals("00")) {// 是否被100整除
value = parseFirst(s.substring(0, 1)) + " HUNDRED";
} else {
value = parseFirst(s.substring(0, 1)) + " HUNDRED AND " + transTwo(s.substring(1));
}
return value;
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netty/netty | handler/src/main/java/io/netty/handler/ssl/SslContextBuilder.java | SslContextBuilder.ciphers | public SslContextBuilder ciphers(Iterable<String> ciphers, CipherSuiteFilter cipherFilter) {
checkNotNull(cipherFilter, "cipherFilter");
this.ciphers = ciphers;
this.cipherFilter = cipherFilter;
return this;
} | java | public SslContextBuilder ciphers(Iterable<String> ciphers, CipherSuiteFilter cipherFilter) {
checkNotNull(cipherFilter, "cipherFilter");
this.ciphers = ciphers;
this.cipherFilter = cipherFilter;
return this;
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apache/flink | flink-mesos/src/main/java/org/apache/flink/mesos/Utils.java | Utils.rangeValues | public static LongStream rangeValues(Protos.Value.Range range) {
checkNotNull(range);
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} | java | public static LongStream rangeValues(Protos.Value.Range range) {
checkNotNull(range);
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/metrics/groups/TaskManagerMetricGroup.java | TaskManagerMetricGroup.addTaskForJob | public TaskMetricGroup addTaskForJob(
final JobID jobId,
final String jobName,
final JobVertexID jobVertexId,
final ExecutionAttemptID executionAttemptId,
final String taskName,
final int subtaskIndex,
final int attemptNumber) {
Preconditions.checkNotNull(jobId);
String resolvedJobName = jobName == null || jobName.isEmpty()
? jobId.toString()
: jobName;
// we cannot strictly lock both our map modification and the job group modification
// because it might lead to a deadlock
while (true) {
// get or create a jobs metric group
TaskManagerJobMetricGroup currentJobGroup;
synchronized (this) {
currentJobGroup = jobs.get(jobId);
if (currentJobGroup == null || currentJobGroup.isClosed()) {
currentJobGroup = new TaskManagerJobMetricGroup(registry, this, jobId, resolvedJobName);
jobs.put(jobId, currentJobGroup);
}
}
// try to add another task. this may fail if we found a pre-existing job metrics
// group and it is closed concurrently
TaskMetricGroup taskGroup = currentJobGroup.addTask(
jobVertexId,
executionAttemptId,
taskName,
subtaskIndex,
attemptNumber);
if (taskGroup != null) {
// successfully added the next task
return taskGroup;
}
// else fall through the loop
}
} | java | public TaskMetricGroup addTaskForJob(
final JobID jobId,
final String jobName,
final JobVertexID jobVertexId,
final ExecutionAttemptID executionAttemptId,
final String taskName,
final int subtaskIndex,
final int attemptNumber) {
Preconditions.checkNotNull(jobId);
String resolvedJobName = jobName == null || jobName.isEmpty()
? jobId.toString()
: jobName;
// we cannot strictly lock both our map modification and the job group modification
// because it might lead to a deadlock
while (true) {
// get or create a jobs metric group
TaskManagerJobMetricGroup currentJobGroup;
synchronized (this) {
currentJobGroup = jobs.get(jobId);
if (currentJobGroup == null || currentJobGroup.isClosed()) {
currentJobGroup = new TaskManagerJobMetricGroup(registry, this, jobId, resolvedJobName);
jobs.put(jobId, currentJobGroup);
}
}
// try to add another task. this may fail if we found a pre-existing job metrics
// group and it is closed concurrently
TaskMetricGroup taskGroup = currentJobGroup.addTask(
jobVertexId,
executionAttemptId,
taskName,
subtaskIndex,
attemptNumber);
if (taskGroup != null) {
// successfully added the next task
return taskGroup;
}
// else fall through the loop
}
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apache/flink | flink-java/src/main/java/org/apache/flink/api/java/operators/Operator.java | Operator.setParallelism | public O setParallelism(int parallelism) {
Preconditions.checkArgument(parallelism > 0 || parallelism == ExecutionConfig.PARALLELISM_DEFAULT,
"The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default).");
this.parallelism = parallelism;
@SuppressWarnings("unchecked")
O returnType = (O) this;
return returnType;
} | java | public O setParallelism(int parallelism) {
Preconditions.checkArgument(parallelism > 0 || parallelism == ExecutionConfig.PARALLELISM_DEFAULT,
"The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default).");
this.parallelism = parallelism;
@SuppressWarnings("unchecked")
O returnType = (O) this;
return returnType;
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