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apache/spark
|
common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java
|
JavaUtils.byteStringAs
|
public static long byteStringAs(String str, ByteUnit unit) {
String lower = str.toLowerCase(Locale.ROOT).trim();
try {
Matcher m = Pattern.compile("([0-9]+)([a-z]+)?").matcher(lower);
Matcher fractionMatcher = Pattern.compile("([0-9]+\\.[0-9]+)([a-z]+)?").matcher(lower);
if (m.matches()) {
long val = Long.parseLong(m.group(1));
String suffix = m.group(2);
// Check for invalid suffixes
if (suffix != null && !byteSuffixes.containsKey(suffix)) {
throw new NumberFormatException("Invalid suffix: \"" + suffix + "\"");
}
// If suffix is valid use that, otherwise none was provided and use the default passed
return unit.convertFrom(val, suffix != null ? byteSuffixes.get(suffix) : unit);
} else if (fractionMatcher.matches()) {
throw new NumberFormatException("Fractional values are not supported. Input was: "
+ fractionMatcher.group(1));
} else {
throw new NumberFormatException("Failed to parse byte string: " + str);
}
} catch (NumberFormatException e) {
String byteError = "Size must be specified as bytes (b), " +
"kibibytes (k), mebibytes (m), gibibytes (g), tebibytes (t), or pebibytes(p). " +
"E.g. 50b, 100k, or 250m.";
throw new NumberFormatException(byteError + "\n" + e.getMessage());
}
}
|
java
|
public static long byteStringAs(String str, ByteUnit unit) {
String lower = str.toLowerCase(Locale.ROOT).trim();
try {
Matcher m = Pattern.compile("([0-9]+)([a-z]+)?").matcher(lower);
Matcher fractionMatcher = Pattern.compile("([0-9]+\\.[0-9]+)([a-z]+)?").matcher(lower);
if (m.matches()) {
long val = Long.parseLong(m.group(1));
String suffix = m.group(2);
// Check for invalid suffixes
if (suffix != null && !byteSuffixes.containsKey(suffix)) {
throw new NumberFormatException("Invalid suffix: \"" + suffix + "\"");
}
// If suffix is valid use that, otherwise none was provided and use the default passed
return unit.convertFrom(val, suffix != null ? byteSuffixes.get(suffix) : unit);
} else if (fractionMatcher.matches()) {
throw new NumberFormatException("Fractional values are not supported. Input was: "
+ fractionMatcher.group(1));
} else {
throw new NumberFormatException("Failed to parse byte string: " + str);
}
} catch (NumberFormatException e) {
String byteError = "Size must be specified as bytes (b), " +
"kibibytes (k), mebibytes (m), gibibytes (g), tebibytes (t), or pebibytes(p). " +
"E.g. 50b, 100k, or 250m.";
throw new NumberFormatException(byteError + "\n" + e.getMessage());
}
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java#L276-L308
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train
|
Convert a byte string to a long.
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/slotpool/SlotPoolImpl.java
|
SlotPoolImpl.offerSlot
|
boolean offerSlot(
final TaskManagerLocation taskManagerLocation,
final TaskManagerGateway taskManagerGateway,
final SlotOffer slotOffer) {
componentMainThreadExecutor.assertRunningInMainThread();
// check if this TaskManager is valid
final ResourceID resourceID = taskManagerLocation.getResourceID();
final AllocationID allocationID = slotOffer.getAllocationId();
if (!registeredTaskManagers.contains(resourceID)) {
log.debug("Received outdated slot offering [{}] from unregistered TaskManager: {}",
slotOffer.getAllocationId(), taskManagerLocation);
return false;
}
// check whether we have already using this slot
AllocatedSlot existingSlot;
if ((existingSlot = allocatedSlots.get(allocationID)) != null ||
(existingSlot = availableSlots.get(allocationID)) != null) {
// we need to figure out if this is a repeated offer for the exact same slot,
// or another offer that comes from a different TaskManager after the ResourceManager
// re-tried the request
// we write this in terms of comparing slot IDs, because the Slot IDs are the identifiers of
// the actual slots on the TaskManagers
// Note: The slotOffer should have the SlotID
final SlotID existingSlotId = existingSlot.getSlotId();
final SlotID newSlotId = new SlotID(taskManagerLocation.getResourceID(), slotOffer.getSlotIndex());
if (existingSlotId.equals(newSlotId)) {
log.info("Received repeated offer for slot [{}]. Ignoring.", allocationID);
// return true here so that the sender will get a positive acknowledgement to the retry
// and mark the offering as a success
return true;
} else {
// the allocation has been fulfilled by another slot, reject the offer so the task executor
// will offer the slot to the resource manager
return false;
}
}
final AllocatedSlot allocatedSlot = new AllocatedSlot(
allocationID,
taskManagerLocation,
slotOffer.getSlotIndex(),
slotOffer.getResourceProfile(),
taskManagerGateway);
// check whether we have request waiting for this slot
PendingRequest pendingRequest = pendingRequests.removeKeyB(allocationID);
if (pendingRequest != null) {
// we were waiting for this!
allocatedSlots.add(pendingRequest.getSlotRequestId(), allocatedSlot);
if (!pendingRequest.getAllocatedSlotFuture().complete(allocatedSlot)) {
// we could not complete the pending slot future --> try to fulfill another pending request
allocatedSlots.remove(pendingRequest.getSlotRequestId());
tryFulfillSlotRequestOrMakeAvailable(allocatedSlot);
} else {
log.debug("Fulfilled slot request [{}] with allocated slot [{}].", pendingRequest.getSlotRequestId(), allocationID);
}
}
else {
// we were actually not waiting for this:
// - could be that this request had been fulfilled
// - we are receiving the slots from TaskManagers after becoming leaders
tryFulfillSlotRequestOrMakeAvailable(allocatedSlot);
}
// we accepted the request in any case. slot will be released after it idled for
// too long and timed out
return true;
}
|
java
|
boolean offerSlot(
final TaskManagerLocation taskManagerLocation,
final TaskManagerGateway taskManagerGateway,
final SlotOffer slotOffer) {
componentMainThreadExecutor.assertRunningInMainThread();
// check if this TaskManager is valid
final ResourceID resourceID = taskManagerLocation.getResourceID();
final AllocationID allocationID = slotOffer.getAllocationId();
if (!registeredTaskManagers.contains(resourceID)) {
log.debug("Received outdated slot offering [{}] from unregistered TaskManager: {}",
slotOffer.getAllocationId(), taskManagerLocation);
return false;
}
// check whether we have already using this slot
AllocatedSlot existingSlot;
if ((existingSlot = allocatedSlots.get(allocationID)) != null ||
(existingSlot = availableSlots.get(allocationID)) != null) {
// we need to figure out if this is a repeated offer for the exact same slot,
// or another offer that comes from a different TaskManager after the ResourceManager
// re-tried the request
// we write this in terms of comparing slot IDs, because the Slot IDs are the identifiers of
// the actual slots on the TaskManagers
// Note: The slotOffer should have the SlotID
final SlotID existingSlotId = existingSlot.getSlotId();
final SlotID newSlotId = new SlotID(taskManagerLocation.getResourceID(), slotOffer.getSlotIndex());
if (existingSlotId.equals(newSlotId)) {
log.info("Received repeated offer for slot [{}]. Ignoring.", allocationID);
// return true here so that the sender will get a positive acknowledgement to the retry
// and mark the offering as a success
return true;
} else {
// the allocation has been fulfilled by another slot, reject the offer so the task executor
// will offer the slot to the resource manager
return false;
}
}
final AllocatedSlot allocatedSlot = new AllocatedSlot(
allocationID,
taskManagerLocation,
slotOffer.getSlotIndex(),
slotOffer.getResourceProfile(),
taskManagerGateway);
// check whether we have request waiting for this slot
PendingRequest pendingRequest = pendingRequests.removeKeyB(allocationID);
if (pendingRequest != null) {
// we were waiting for this!
allocatedSlots.add(pendingRequest.getSlotRequestId(), allocatedSlot);
if (!pendingRequest.getAllocatedSlotFuture().complete(allocatedSlot)) {
// we could not complete the pending slot future --> try to fulfill another pending request
allocatedSlots.remove(pendingRequest.getSlotRequestId());
tryFulfillSlotRequestOrMakeAvailable(allocatedSlot);
} else {
log.debug("Fulfilled slot request [{}] with allocated slot [{}].", pendingRequest.getSlotRequestId(), allocationID);
}
}
else {
// we were actually not waiting for this:
// - could be that this request had been fulfilled
// - we are receiving the slots from TaskManagers after becoming leaders
tryFulfillSlotRequestOrMakeAvailable(allocatedSlot);
}
// we accepted the request in any case. slot will be released after it idled for
// too long and timed out
return true;
}
|
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"}"
] |
Slot offering by TaskExecutor with AllocationID. The AllocationID is originally generated by this pool and
transfer through the ResourceManager to TaskManager. We use it to distinguish the different allocation
we issued. Slot offering may be rejected if we find something mismatching or there is actually no pending
request waiting for this slot (maybe fulfilled by some other returned slot).
@param taskManagerLocation location from where the offer comes from
@param taskManagerGateway TaskManager gateway
@param slotOffer the offered slot
@return True if we accept the offering
|
[
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"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/slotpool/SlotPoolImpl.java#L538-L614
|
train
|
Offer a slot to the TaskManager.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java
|
ClassUtil.invoke
|
public static <T> T invoke(String classNameWithMethodName, Object[] args) {
return invoke(classNameWithMethodName, false, args);
}
|
java
|
public static <T> T invoke(String classNameWithMethodName, Object[] args) {
return invoke(classNameWithMethodName, false, args);
}
|
[
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"T",
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"{",
"return",
"invoke",
"(",
"classNameWithMethodName",
",",
"false",
",",
"args",
")",
";",
"}"
] |
执行方法<br>
可执行Private方法,也可执行static方法<br>
执行非static方法时,必须满足对象有默认构造方法<br>
非单例模式,如果是非静态方法,每次创建一个新对象
@param <T> 对象类型
@param classNameWithMethodName 类名和方法名表达式,类名与方法名用<code>.</code>或<code>#</code>连接 例如:com.xiaoleilu.hutool.StrUtil.isEmpty 或 com.xiaoleilu.hutool.StrUtil#isEmpty
@param args 参数,必须严格对应指定方法的参数类型和数量
@return 返回结果
|
[
"执行方法<br",
">",
"可执行Private方法,也可执行static方法<br",
">",
"执行非static方法时,必须满足对象有默认构造方法<br",
">",
"非单例模式,如果是非静态方法,每次创建一个新对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java#L619-L621
|
train
|
Invoke a method on a class with a number of arguments.
|
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netty/netty
|
transport-native-epoll/src/main/java/io/netty/channel/epoll/AbstractEpollStreamChannel.java
|
AbstractEpollStreamChannel.doWriteSingle
|
protected int doWriteSingle(ChannelOutboundBuffer in) throws Exception {
// The outbound buffer contains only one message or it contains a file region.
Object msg = in.current();
if (msg instanceof ByteBuf) {
return writeBytes(in, (ByteBuf) msg);
} else if (msg instanceof DefaultFileRegion) {
return writeDefaultFileRegion(in, (DefaultFileRegion) msg);
} else if (msg instanceof FileRegion) {
return writeFileRegion(in, (FileRegion) msg);
} else if (msg instanceof SpliceOutTask) {
if (!((SpliceOutTask) msg).spliceOut()) {
return WRITE_STATUS_SNDBUF_FULL;
}
in.remove();
return 1;
} else {
// Should never reach here.
throw new Error();
}
}
|
java
|
protected int doWriteSingle(ChannelOutboundBuffer in) throws Exception {
// The outbound buffer contains only one message or it contains a file region.
Object msg = in.current();
if (msg instanceof ByteBuf) {
return writeBytes(in, (ByteBuf) msg);
} else if (msg instanceof DefaultFileRegion) {
return writeDefaultFileRegion(in, (DefaultFileRegion) msg);
} else if (msg instanceof FileRegion) {
return writeFileRegion(in, (FileRegion) msg);
} else if (msg instanceof SpliceOutTask) {
if (!((SpliceOutTask) msg).spliceOut()) {
return WRITE_STATUS_SNDBUF_FULL;
}
in.remove();
return 1;
} else {
// Should never reach here.
throw new Error();
}
}
|
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Attempt to write a single object.
@param in the collection which contains objects to write.
@return The value that should be decremented from the write quantum which starts at
{@link ChannelConfig#getWriteSpinCount()}. The typical use cases are as follows:
<ul>
<li>0 - if no write was attempted. This is appropriate if an empty {@link ByteBuf} (or other empty content)
is encountered</li>
<li>1 - if a single call to write data was made to the OS</li>
<li>{@link ChannelUtils#WRITE_STATUS_SNDBUF_FULL} - if an attempt to write data was made to the OS, but
no data was accepted</li>
</ul>
@throws Exception If an I/O error occurs.
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport-native-epoll/src/main/java/io/netty/channel/epoll/AbstractEpollStreamChannel.java#L476-L495
|
train
|
Write a single message to the outbound buffer.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.extName
|
public static String extName(File file) {
if (null == file) {
return null;
}
if (file.isDirectory()) {
return null;
}
return extName(file.getName());
}
|
java
|
public static String extName(File file) {
if (null == file) {
return null;
}
if (file.isDirectory()) {
return null;
}
return extName(file.getName());
}
|
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] |
获取文件扩展名,扩展名不带“.”
@param file 文件
@return 扩展名
|
[
"获取文件扩展名,扩展名不带“",
".",
"”"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L1806-L1814
|
train
|
Returns the name of the file extension.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java
|
DaoTemplate.fixEntity
|
private Entity fixEntity(Entity entity){
if(null == entity){
entity = Entity.create(tableName);
}else if(StrUtil.isBlank(entity.getTableName())){
entity.setTableName(tableName);
}
return entity;
}
|
java
|
private Entity fixEntity(Entity entity){
if(null == entity){
entity = Entity.create(tableName);
}else if(StrUtil.isBlank(entity.getTableName())){
entity.setTableName(tableName);
}
return entity;
}
|
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修正Entity对象,避免null和填充表名
@param entity 实体类
@return 修正后的实体类
|
[
"修正Entity对象,避免null和填充表名"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java#L353-L360
|
train
|
Fix entity.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/configuration/GlobalConfiguration.java
|
GlobalConfiguration.loadConfiguration
|
public static Configuration loadConfiguration(final String configDir, @Nullable final Configuration dynamicProperties) {
if (configDir == null) {
throw new IllegalArgumentException("Given configuration directory is null, cannot load configuration");
}
final File confDirFile = new File(configDir);
if (!(confDirFile.exists())) {
throw new IllegalConfigurationException(
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}
// get Flink yaml configuration file
final File yamlConfigFile = new File(confDirFile, FLINK_CONF_FILENAME);
if (!yamlConfigFile.exists()) {
throw new IllegalConfigurationException(
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"' (" + confDirFile.getAbsolutePath() + ") does not exist.");
}
Configuration configuration = loadYAMLResource(yamlConfigFile);
if (dynamicProperties != null) {
configuration.addAll(dynamicProperties);
}
return configuration;
}
|
java
|
public static Configuration loadConfiguration(final String configDir, @Nullable final Configuration dynamicProperties) {
if (configDir == null) {
throw new IllegalArgumentException("Given configuration directory is null, cannot load configuration");
}
final File confDirFile = new File(configDir);
if (!(confDirFile.exists())) {
throw new IllegalConfigurationException(
"The given configuration directory name '" + configDir +
"' (" + confDirFile.getAbsolutePath() + ") does not describe an existing directory.");
}
// get Flink yaml configuration file
final File yamlConfigFile = new File(confDirFile, FLINK_CONF_FILENAME);
if (!yamlConfigFile.exists()) {
throw new IllegalConfigurationException(
"The Flink config file '" + yamlConfigFile +
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}
Configuration configuration = loadYAMLResource(yamlConfigFile);
if (dynamicProperties != null) {
configuration.addAll(dynamicProperties);
}
return configuration;
}
|
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@return The configuration loaded from the given configuration directory
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/configuration/GlobalConfiguration.java#L93-L122
|
train
|
Load the configuration from the given configuration directory.
|
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/parser/context/table/Tables.java
|
Tables.find
|
public Optional<Table> find(final String tableNameOrAlias) {
Optional<Table> tableFromName = findTableFromName(tableNameOrAlias);
return tableFromName.isPresent() ? tableFromName : findTableFromAlias(tableNameOrAlias);
}
|
java
|
public Optional<Table> find(final String tableNameOrAlias) {
Optional<Table> tableFromName = findTableFromName(tableNameOrAlias);
return tableFromName.isPresent() ? tableFromName : findTableFromAlias(tableNameOrAlias);
}
|
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Find table via table name or alias.
@param tableNameOrAlias table name or alias
@return table
|
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/parser/context/table/Tables.java#L100-L103
|
train
|
Find table by name or alias.
|
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apache/spark
|
examples/src/main/java/org/apache/spark/examples/sql/JavaUserDefinedUntypedAggregation.java
|
JavaUserDefinedUntypedAggregation.main
|
public static void main(String[] args) {
SparkSession spark = SparkSession
.builder()
.appName("Java Spark SQL user-defined DataFrames aggregation example")
.getOrCreate();
// $example on:untyped_custom_aggregation$
// Register the function to access it
spark.udf().register("myAverage", new MyAverage());
Dataset<Row> df = spark.read().json("examples/src/main/resources/employees.json");
df.createOrReplaceTempView("employees");
df.show();
// +-------+------+
// | name|salary|
// +-------+------+
// |Michael| 3000|
// | Andy| 4500|
// | Justin| 3500|
// | Berta| 4000|
// +-------+------+
Dataset<Row> result = spark.sql("SELECT myAverage(salary) as average_salary FROM employees");
result.show();
// +--------------+
// |average_salary|
// +--------------+
// | 3750.0|
// +--------------+
// $example off:untyped_custom_aggregation$
spark.stop();
}
|
java
|
public static void main(String[] args) {
SparkSession spark = SparkSession
.builder()
.appName("Java Spark SQL user-defined DataFrames aggregation example")
.getOrCreate();
// $example on:untyped_custom_aggregation$
// Register the function to access it
spark.udf().register("myAverage", new MyAverage());
Dataset<Row> df = spark.read().json("examples/src/main/resources/employees.json");
df.createOrReplaceTempView("employees");
df.show();
// +-------+------+
// | name|salary|
// +-------+------+
// |Michael| 3000|
// | Andy| 4500|
// | Justin| 3500|
// | Berta| 4000|
// +-------+------+
Dataset<Row> result = spark.sql("SELECT myAverage(salary) as average_salary FROM employees");
result.show();
// +--------------+
// |average_salary|
// +--------------+
// | 3750.0|
// +--------------+
// $example off:untyped_custom_aggregation$
spark.stop();
}
|
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$example off:untyped_custom_aggregation$
|
[
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] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/examples/src/main/java/org/apache/spark/examples/sql/JavaUserDefinedUntypedAggregation.java#L99-L131
|
train
|
Example of creating or updating a new Spark session.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronTrainer.java
|
PerceptronTrainer.train
|
public Result train(String trainingFile, String developFile,
String modelFile, final double compressRatio,
final int maxIteration, final int threadNum) throws IOException
{
if (developFile == null)
{
developFile = trainingFile;
}
// 加载训练语料
TagSet tagSet = createTagSet();
MutableFeatureMap mutableFeatureMap = new MutableFeatureMap(tagSet);
ConsoleLogger logger = new ConsoleLogger();
logger.start("开始加载训练集...\n");
Instance[] instances = loadTrainInstances(trainingFile, mutableFeatureMap);
tagSet.lock();
logger.finish("\n加载完毕,实例一共%d句,特征总数%d\n", instances.length, mutableFeatureMap.size() * tagSet.size());
// 开始训练
ImmutableFeatureMap immutableFeatureMap = new ImmutableFeatureMap(mutableFeatureMap.featureIdMap, tagSet);
mutableFeatureMap = null;
double[] accuracy = null;
if (threadNum == 1)
{
AveragedPerceptron model;
model = new AveragedPerceptron(immutableFeatureMap);
final double[] total = new double[model.parameter.length];
final int[] timestamp = new int[model.parameter.length];
int current = 0;
for (int iter = 1; iter <= maxIteration; iter++)
{
Utility.shuffleArray(instances);
for (Instance instance : instances)
{
++current;
int[] guessLabel = new int[instance.length()];
model.viterbiDecode(instance, guessLabel);
for (int i = 0; i < instance.length(); i++)
{
int[] featureVector = instance.getFeatureAt(i);
int[] goldFeature = new int[featureVector.length];
int[] predFeature = new int[featureVector.length];
for (int j = 0; j < featureVector.length - 1; j++)
{
goldFeature[j] = featureVector[j] * tagSet.size() + instance.tagArray[i];
predFeature[j] = featureVector[j] * tagSet.size() + guessLabel[i];
}
goldFeature[featureVector.length - 1] = (i == 0 ? tagSet.bosId() : instance.tagArray[i - 1]) * tagSet.size() + instance.tagArray[i];
predFeature[featureVector.length - 1] = (i == 0 ? tagSet.bosId() : guessLabel[i - 1]) * tagSet.size() + guessLabel[i];
model.update(goldFeature, predFeature, total, timestamp, current);
}
}
// 在开发集上校验
accuracy = trainingFile.equals(developFile) ? IOUtility.evaluate(instances, model) : evaluate(developFile, model);
out.printf("Iter#%d - ", iter);
printAccuracy(accuracy);
}
// 平均
model.average(total, timestamp, current);
accuracy = trainingFile.equals(developFile) ? IOUtility.evaluate(instances, model) : evaluate(developFile, model);
out.print("AP - ");
printAccuracy(accuracy);
logger.start("以压缩比 %.2f 保存模型到 %s ... ", compressRatio, modelFile);
model.save(modelFile, immutableFeatureMap.featureIdMap.entrySet(), compressRatio);
logger.finish(" 保存完毕\n");
if (compressRatio == 0) return new Result(model, accuracy);
}
else
{
// 多线程用Structure Perceptron
StructuredPerceptron[] models = new StructuredPerceptron[threadNum];
for (int i = 0; i < models.length; i++)
{
models[i] = new StructuredPerceptron(immutableFeatureMap);
}
TrainingWorker[] workers = new TrainingWorker[threadNum];
int job = instances.length / threadNum;
for (int iter = 1; iter <= maxIteration; iter++)
{
Utility.shuffleArray(instances);
try
{
for (int i = 0; i < workers.length; i++)
{
workers[i] = new TrainingWorker(instances, i * job,
i == workers.length - 1 ? instances.length : (i + 1) * job,
models[i]);
workers[i].start();
}
for (TrainingWorker worker : workers)
{
worker.join();
}
for (int j = 0; j < models[0].parameter.length; j++)
{
for (int i = 1; i < models.length; i++)
{
models[0].parameter[j] += models[i].parameter[j];
}
models[0].parameter[j] /= threadNum;
}
accuracy = trainingFile.equals(developFile) ? IOUtility.evaluate(instances, models[0]) : evaluate(developFile, models[0]);
out.printf("Iter#%d - ", iter);
printAccuracy(accuracy);
}
catch (InterruptedException e)
{
err.printf("线程同步异常,训练失败\n");
e.printStackTrace();
return null;
}
}
logger.start("以压缩比 %.2f 保存模型到 %s ... ", compressRatio, modelFile);
models[0].save(modelFile, immutableFeatureMap.featureIdMap.entrySet(), compressRatio, HanLP.Config.DEBUG);
logger.finish(" 保存完毕\n");
if (compressRatio == 0) return new Result(models[0], accuracy);
}
LinearModel model = new LinearModel(modelFile);
if (compressRatio > 0)
{
accuracy = evaluate(developFile, model);
out.printf("\n%.2f compressed model - ", compressRatio);
printAccuracy(accuracy);
}
return new Result(model, accuracy);
}
|
java
|
public Result train(String trainingFile, String developFile,
String modelFile, final double compressRatio,
final int maxIteration, final int threadNum) throws IOException
{
if (developFile == null)
{
developFile = trainingFile;
}
// 加载训练语料
TagSet tagSet = createTagSet();
MutableFeatureMap mutableFeatureMap = new MutableFeatureMap(tagSet);
ConsoleLogger logger = new ConsoleLogger();
logger.start("开始加载训练集...\n");
Instance[] instances = loadTrainInstances(trainingFile, mutableFeatureMap);
tagSet.lock();
logger.finish("\n加载完毕,实例一共%d句,特征总数%d\n", instances.length, mutableFeatureMap.size() * tagSet.size());
// 开始训练
ImmutableFeatureMap immutableFeatureMap = new ImmutableFeatureMap(mutableFeatureMap.featureIdMap, tagSet);
mutableFeatureMap = null;
double[] accuracy = null;
if (threadNum == 1)
{
AveragedPerceptron model;
model = new AveragedPerceptron(immutableFeatureMap);
final double[] total = new double[model.parameter.length];
final int[] timestamp = new int[model.parameter.length];
int current = 0;
for (int iter = 1; iter <= maxIteration; iter++)
{
Utility.shuffleArray(instances);
for (Instance instance : instances)
{
++current;
int[] guessLabel = new int[instance.length()];
model.viterbiDecode(instance, guessLabel);
for (int i = 0; i < instance.length(); i++)
{
int[] featureVector = instance.getFeatureAt(i);
int[] goldFeature = new int[featureVector.length];
int[] predFeature = new int[featureVector.length];
for (int j = 0; j < featureVector.length - 1; j++)
{
goldFeature[j] = featureVector[j] * tagSet.size() + instance.tagArray[i];
predFeature[j] = featureVector[j] * tagSet.size() + guessLabel[i];
}
goldFeature[featureVector.length - 1] = (i == 0 ? tagSet.bosId() : instance.tagArray[i - 1]) * tagSet.size() + instance.tagArray[i];
predFeature[featureVector.length - 1] = (i == 0 ? tagSet.bosId() : guessLabel[i - 1]) * tagSet.size() + guessLabel[i];
model.update(goldFeature, predFeature, total, timestamp, current);
}
}
// 在开发集上校验
accuracy = trainingFile.equals(developFile) ? IOUtility.evaluate(instances, model) : evaluate(developFile, model);
out.printf("Iter#%d - ", iter);
printAccuracy(accuracy);
}
// 平均
model.average(total, timestamp, current);
accuracy = trainingFile.equals(developFile) ? IOUtility.evaluate(instances, model) : evaluate(developFile, model);
out.print("AP - ");
printAccuracy(accuracy);
logger.start("以压缩比 %.2f 保存模型到 %s ... ", compressRatio, modelFile);
model.save(modelFile, immutableFeatureMap.featureIdMap.entrySet(), compressRatio);
logger.finish(" 保存完毕\n");
if (compressRatio == 0) return new Result(model, accuracy);
}
else
{
// 多线程用Structure Perceptron
StructuredPerceptron[] models = new StructuredPerceptron[threadNum];
for (int i = 0; i < models.length; i++)
{
models[i] = new StructuredPerceptron(immutableFeatureMap);
}
TrainingWorker[] workers = new TrainingWorker[threadNum];
int job = instances.length / threadNum;
for (int iter = 1; iter <= maxIteration; iter++)
{
Utility.shuffleArray(instances);
try
{
for (int i = 0; i < workers.length; i++)
{
workers[i] = new TrainingWorker(instances, i * job,
i == workers.length - 1 ? instances.length : (i + 1) * job,
models[i]);
workers[i].start();
}
for (TrainingWorker worker : workers)
{
worker.join();
}
for (int j = 0; j < models[0].parameter.length; j++)
{
for (int i = 1; i < models.length; i++)
{
models[0].parameter[j] += models[i].parameter[j];
}
models[0].parameter[j] /= threadNum;
}
accuracy = trainingFile.equals(developFile) ? IOUtility.evaluate(instances, models[0]) : evaluate(developFile, models[0]);
out.printf("Iter#%d - ", iter);
printAccuracy(accuracy);
}
catch (InterruptedException e)
{
err.printf("线程同步异常,训练失败\n");
e.printStackTrace();
return null;
}
}
logger.start("以压缩比 %.2f 保存模型到 %s ... ", compressRatio, modelFile);
models[0].save(modelFile, immutableFeatureMap.featureIdMap.entrySet(), compressRatio, HanLP.Config.DEBUG);
logger.finish(" 保存完毕\n");
if (compressRatio == 0) return new Result(models[0], accuracy);
}
LinearModel model = new LinearModel(modelFile);
if (compressRatio > 0)
{
accuracy = evaluate(developFile, model);
out.printf("\n%.2f compressed model - ", compressRatio);
printAccuracy(accuracy);
}
return new Result(model, accuracy);
}
|
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训练
@param trainingFile 训练集
@param developFile 开发集
@param modelFile 模型保存路径
@param compressRatio 压缩比
@param maxIteration 最大迭代次数
@param threadNum 线程数
@return 一个包含模型和精度的结构
@throws IOException
|
[
"训练"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronTrainer.java#L109-L238
|
train
|
Train a single instance of a CIS model.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java
|
ReUtil.replaceAll
|
public static String replaceAll(CharSequence content, String regex, String replacementTemplate) {
final Pattern pattern = Pattern.compile(regex, Pattern.DOTALL);
return replaceAll(content, pattern, replacementTemplate);
}
|
java
|
public static String replaceAll(CharSequence content, String regex, String replacementTemplate) {
final Pattern pattern = Pattern.compile(regex, Pattern.DOTALL);
return replaceAll(content, pattern, replacementTemplate);
}
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正则替换指定值<br>
通过正则查找到字符串,然后把匹配到的字符串加入到replacementTemplate中,$1表示分组1的字符串
@param content 文本
@param regex 正则
@param replacementTemplate 替换的文本模板,可以使用$1类似的变量提取正则匹配出的内容
@return 处理后的文本
|
[
"正则替换指定值<br",
">",
"通过正则查找到字符串,然后把匹配到的字符串加入到replacementTemplate中,$1表示分组1的字符串"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java#L600-L603
|
train
|
Replaces all occurrences of the given regular expression with the given replacement template.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/RoundRobinOperatorStateRepartitioner.java
|
RoundRobinOperatorStateRepartitioner.repartition
|
private List<Map<StreamStateHandle, OperatorStateHandle>> repartition(
GroupByStateNameResults nameToStateByMode,
int newParallelism) {
// We will use this to merge w.r.t. StreamStateHandles for each parallel subtask inside the maps
List<Map<StreamStateHandle, OperatorStateHandle>> mergeMapList = new ArrayList<>(newParallelism);
// Initialize
for (int i = 0; i < newParallelism; ++i) {
mergeMapList.add(new HashMap<>());
}
// Start with the state handles we distribute round robin by splitting by offsets
Map<String, List<Tuple2<StreamStateHandle, OperatorStateHandle.StateMetaInfo>>> nameToDistributeState =
nameToStateByMode.getByMode(OperatorStateHandle.Mode.SPLIT_DISTRIBUTE);
repartitionSplitState(nameToDistributeState, newParallelism, mergeMapList);
// Now we also add the state handles marked for union to all parallel instances
Map<String, List<Tuple2<StreamStateHandle, OperatorStateHandle.StateMetaInfo>>> nameToUnionState =
nameToStateByMode.getByMode(OperatorStateHandle.Mode.UNION);
repartitionUnionState(nameToUnionState, mergeMapList);
// Now we also add the state handles marked for uniform broadcast to all parallel instances
Map<String, List<Tuple2<StreamStateHandle, OperatorStateHandle.StateMetaInfo>>> nameToBroadcastState =
nameToStateByMode.getByMode(OperatorStateHandle.Mode.BROADCAST);
repartitionBroadcastState(nameToBroadcastState, mergeMapList);
return mergeMapList;
}
|
java
|
private List<Map<StreamStateHandle, OperatorStateHandle>> repartition(
GroupByStateNameResults nameToStateByMode,
int newParallelism) {
// We will use this to merge w.r.t. StreamStateHandles for each parallel subtask inside the maps
List<Map<StreamStateHandle, OperatorStateHandle>> mergeMapList = new ArrayList<>(newParallelism);
// Initialize
for (int i = 0; i < newParallelism; ++i) {
mergeMapList.add(new HashMap<>());
}
// Start with the state handles we distribute round robin by splitting by offsets
Map<String, List<Tuple2<StreamStateHandle, OperatorStateHandle.StateMetaInfo>>> nameToDistributeState =
nameToStateByMode.getByMode(OperatorStateHandle.Mode.SPLIT_DISTRIBUTE);
repartitionSplitState(nameToDistributeState, newParallelism, mergeMapList);
// Now we also add the state handles marked for union to all parallel instances
Map<String, List<Tuple2<StreamStateHandle, OperatorStateHandle.StateMetaInfo>>> nameToUnionState =
nameToStateByMode.getByMode(OperatorStateHandle.Mode.UNION);
repartitionUnionState(nameToUnionState, mergeMapList);
// Now we also add the state handles marked for uniform broadcast to all parallel instances
Map<String, List<Tuple2<StreamStateHandle, OperatorStateHandle.StateMetaInfo>>> nameToBroadcastState =
nameToStateByMode.getByMode(OperatorStateHandle.Mode.BROADCAST);
repartitionBroadcastState(nameToBroadcastState, mergeMapList);
return mergeMapList;
}
|
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Repartition all named states.
|
[
"Repartition",
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"states",
"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/RoundRobinOperatorStateRepartitioner.java#L195-L226
|
train
|
Repartition the state handles by repartition
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.join
|
public static <T> String join(Iterator<T> iterator, CharSequence conjunction) {
return IterUtil.join(iterator, conjunction);
}
|
java
|
public static <T> String join(Iterator<T> iterator, CharSequence conjunction) {
return IterUtil.join(iterator, conjunction);
}
|
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"Iterator",
"<",
"T",
">",
"iterator",
",",
"CharSequence",
"conjunction",
")",
"{",
"return",
"IterUtil",
".",
"join",
"(",
"iterator",
",",
"conjunction",
")",
";",
"}"
] |
以 conjunction 为分隔符将集合转换为字符串<br>
如果集合元素为数组、{@link Iterable}或{@link Iterator},则递归组合其为字符串
@param <T> 集合元素类型
@param iterator 集合
@param conjunction 分隔符
@return 连接后的字符串
@see IterUtil#join(Iterator, CharSequence)
|
[
"以",
"conjunction",
"为分隔符将集合转换为字符串<br",
">",
"如果集合元素为数组、",
"{",
"@link",
"Iterable",
"}",
"或",
"{",
"@link",
"Iterator",
"}",
",则递归组合其为字符串"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L290-L292
|
train
|
Joins the iterator with the given conjunction.
|
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30526
] |
apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/zookeeper/ZooKeeperStateHandleStore.java
|
ZooKeeperStateHandleStore.replace
|
public void replace(String pathInZooKeeper, int expectedVersion, T state) throws Exception {
checkNotNull(pathInZooKeeper, "Path in ZooKeeper");
checkNotNull(state, "State");
final String path = normalizePath(pathInZooKeeper);
RetrievableStateHandle<T> oldStateHandle = get(path, false);
RetrievableStateHandle<T> newStateHandle = storage.store(state);
boolean success = false;
try {
// Serialize the new state handle. This writes the state to the backend.
byte[] serializedStateHandle = InstantiationUtil.serializeObject(newStateHandle);
// Replace state handle in ZooKeeper.
client.setData()
.withVersion(expectedVersion)
.forPath(path, serializedStateHandle);
success = true;
} catch (KeeperException.NoNodeException e) {
throw new ConcurrentModificationException("ZooKeeper unexpectedly modified", e);
} finally {
if (success) {
oldStateHandle.discardState();
} else {
newStateHandle.discardState();
}
}
}
|
java
|
public void replace(String pathInZooKeeper, int expectedVersion, T state) throws Exception {
checkNotNull(pathInZooKeeper, "Path in ZooKeeper");
checkNotNull(state, "State");
final String path = normalizePath(pathInZooKeeper);
RetrievableStateHandle<T> oldStateHandle = get(path, false);
RetrievableStateHandle<T> newStateHandle = storage.store(state);
boolean success = false;
try {
// Serialize the new state handle. This writes the state to the backend.
byte[] serializedStateHandle = InstantiationUtil.serializeObject(newStateHandle);
// Replace state handle in ZooKeeper.
client.setData()
.withVersion(expectedVersion)
.forPath(path, serializedStateHandle);
success = true;
} catch (KeeperException.NoNodeException e) {
throw new ConcurrentModificationException("ZooKeeper unexpectedly modified", e);
} finally {
if (success) {
oldStateHandle.discardState();
} else {
newStateHandle.discardState();
}
}
}
|
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] |
Replaces a state handle in ZooKeeper and discards the old state handle.
@param pathInZooKeeper Destination path in ZooKeeper (expected to exist and start with a '/')
@param expectedVersion Expected version of the node to replace
@param state The new state to replace the old one
@throws Exception If a ZooKeeper or state handle operation fails
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/zookeeper/ZooKeeperStateHandleStore.java#L179-L210
|
train
|
Replace the state handle in ZooKeeper with the given state.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/mail/Mail.java
|
Mail.getSession
|
private Session getSession(boolean isSingleton) {
final MailAccount mailAccount = this.mailAccount;
Authenticator authenticator = null;
if (mailAccount.isAuth()) {
authenticator = new UserPassAuthenticator(mailAccount.getUser(), mailAccount.getPass());
}
return isSingleton ? Session.getDefaultInstance(mailAccount.getSmtpProps(), authenticator) //
: Session.getInstance(mailAccount.getSmtpProps(), authenticator);
}
|
java
|
private Session getSession(boolean isSingleton) {
final MailAccount mailAccount = this.mailAccount;
Authenticator authenticator = null;
if (mailAccount.isAuth()) {
authenticator = new UserPassAuthenticator(mailAccount.getUser(), mailAccount.getPass());
}
return isSingleton ? Session.getDefaultInstance(mailAccount.getSmtpProps(), authenticator) //
: Session.getInstance(mailAccount.getSmtpProps(), authenticator);
}
|
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获取默认邮件会话<br>
如果为全局单例的会话,则全局只允许一个邮件帐号,否则每次发送邮件会新建一个新的会话
@param isSingleton 是否使用单例Session
@return 邮件会话 {@link Session}
@since 4.0.2
|
[
"获取默认邮件会话<br",
">",
"如果为全局单例的会话,则全局只允许一个邮件帐号,否则每次发送邮件会新建一个新的会话"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/mail/Mail.java#L318-L327
|
train
|
Gets the Session.
|
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SeleniumHQ/selenium
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java/client/src/org/openqa/selenium/interactions/Actions.java
|
Actions.moveToElement
|
public Actions moveToElement(WebElement target) {
if (isBuildingActions()) {
action.addAction(new MoveMouseAction(jsonMouse, (Locatable) target));
}
return moveInTicks(target, 0, 0);
}
|
java
|
public Actions moveToElement(WebElement target) {
if (isBuildingActions()) {
action.addAction(new MoveMouseAction(jsonMouse, (Locatable) target));
}
return moveInTicks(target, 0, 0);
}
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Moves the mouse to the middle of the element. The element is scrolled into view and its
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@param target element to move to.
@return A self reference.
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/interactions/Actions.java#L358-L364
|
train
|
Move the mouse to the specified element.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/remote/HttpSessionId.java
|
HttpSessionId.getSessionId
|
public static Optional<String> getSessionId(String uri) {
int sessionIndex = uri.indexOf("/session/");
if (sessionIndex != -1) {
sessionIndex += "/session/".length();
int nextSlash = uri.indexOf("/", sessionIndex);
if (nextSlash != -1) {
return Optional.of(uri.substring(sessionIndex, nextSlash));
}
return Optional.of(uri.substring(sessionIndex));
}
return Optional.empty();
}
|
java
|
public static Optional<String> getSessionId(String uri) {
int sessionIndex = uri.indexOf("/session/");
if (sessionIndex != -1) {
sessionIndex += "/session/".length();
int nextSlash = uri.indexOf("/", sessionIndex);
if (nextSlash != -1) {
return Optional.of(uri.substring(sessionIndex, nextSlash));
}
return Optional.of(uri.substring(sessionIndex));
}
return Optional.empty();
}
|
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Scan {@code uri} for a session ID. This is identified by scanning for "{code /session/}" and
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|
[
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] |
7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/remote/HttpSessionId.java#L34-L45
|
train
|
Get the session id from the URI
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.convert
|
@Deprecated
public static void convert(ImageInputStream srcStream, String formatName, ImageOutputStream destStream) {
write(read(srcStream), formatName, destStream);
}
|
java
|
@Deprecated
public static void convert(ImageInputStream srcStream, String formatName, ImageOutputStream destStream) {
write(read(srcStream), formatName, destStream);
}
|
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图像类型转换:GIF=》JPG、GIF=》PNG、PNG=》JPG、PNG=》GIF(X)、BMP=》PNG<br>
此方法并不关闭流
@param srcStream 源图像流
@param formatName 包含格式非正式名称的 String:如JPG、JPEG、GIF等
@param destStream 目标图像输出流
@since 3.0.9
@deprecated 请使用{@link #write(Image, String, ImageOutputStream)}
|
[
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"、BMP",
"=",
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"此方法并不关闭流"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L535-L538
|
train
|
Convert the image from srcStream to destStream using the specified format name.
|
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30526
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/qrcode/QrCodeUtil.java
|
QrCodeUtil.encode
|
public static BitMatrix encode(String content, QrConfig config) {
return encode(content, BarcodeFormat.QR_CODE, config);
}
|
java
|
public static BitMatrix encode(String content, QrConfig config) {
return encode(content, BarcodeFormat.QR_CODE, config);
}
|
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将文本内容编码为二维码
@param content 文本内容
@param config 二维码配置,包括长、宽、边距、颜色等
@return {@link BitMatrix}
@since 4.1.2
|
[
"将文本内容编码为二维码"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/qrcode/QrCodeUtil.java#L221-L223
|
train
|
Encodes the given string using the QR code format and returns the encoded BitMatrix.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java
|
TaskSlotTable.createSlotReport
|
public SlotReport createSlotReport(ResourceID resourceId) {
final int numberSlots = taskSlots.size();
List<SlotStatus> slotStatuses = Arrays.asList(new SlotStatus[numberSlots]);
for (int i = 0; i < numberSlots; i++) {
TaskSlot taskSlot = taskSlots.get(i);
SlotID slotId = new SlotID(resourceId, taskSlot.getIndex());
SlotStatus slotStatus = new SlotStatus(
slotId,
taskSlot.getResourceProfile(),
taskSlot.getJobId(),
taskSlot.getAllocationId());
slotStatuses.set(i, slotStatus);
}
final SlotReport slotReport = new SlotReport(slotStatuses);
return slotReport;
}
|
java
|
public SlotReport createSlotReport(ResourceID resourceId) {
final int numberSlots = taskSlots.size();
List<SlotStatus> slotStatuses = Arrays.asList(new SlotStatus[numberSlots]);
for (int i = 0; i < numberSlots; i++) {
TaskSlot taskSlot = taskSlots.get(i);
SlotID slotId = new SlotID(resourceId, taskSlot.getIndex());
SlotStatus slotStatus = new SlotStatus(
slotId,
taskSlot.getResourceProfile(),
taskSlot.getJobId(),
taskSlot.getAllocationId());
slotStatuses.set(i, slotStatus);
}
final SlotReport slotReport = new SlotReport(slotStatuses);
return slotReport;
}
|
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] |
---------------------------------------------------------------------
|
[
"---------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java#L156-L177
|
train
|
Creates a slot report.
|
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apache/flink
|
flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDBOperationUtils.java
|
RocksDBOperationUtils.createColumnFamilyDescriptor
|
public static ColumnFamilyDescriptor createColumnFamilyDescriptor(
RegisteredStateMetaInfoBase metaInfoBase,
Function<String, ColumnFamilyOptions> columnFamilyOptionsFactory,
@Nullable RocksDbTtlCompactFiltersManager ttlCompactFiltersManager) {
ColumnFamilyOptions options = createColumnFamilyOptions(columnFamilyOptionsFactory, metaInfoBase.getName());
if (ttlCompactFiltersManager != null) {
ttlCompactFiltersManager.setAndRegisterCompactFilterIfStateTtl(metaInfoBase, options);
}
byte[] nameBytes = metaInfoBase.getName().getBytes(ConfigConstants.DEFAULT_CHARSET);
Preconditions.checkState(!Arrays.equals(RocksDB.DEFAULT_COLUMN_FAMILY, nameBytes),
"The chosen state name 'default' collides with the name of the default column family!");
return new ColumnFamilyDescriptor(nameBytes, options);
}
|
java
|
public static ColumnFamilyDescriptor createColumnFamilyDescriptor(
RegisteredStateMetaInfoBase metaInfoBase,
Function<String, ColumnFamilyOptions> columnFamilyOptionsFactory,
@Nullable RocksDbTtlCompactFiltersManager ttlCompactFiltersManager) {
ColumnFamilyOptions options = createColumnFamilyOptions(columnFamilyOptionsFactory, metaInfoBase.getName());
if (ttlCompactFiltersManager != null) {
ttlCompactFiltersManager.setAndRegisterCompactFilterIfStateTtl(metaInfoBase, options);
}
byte[] nameBytes = metaInfoBase.getName().getBytes(ConfigConstants.DEFAULT_CHARSET);
Preconditions.checkState(!Arrays.equals(RocksDB.DEFAULT_COLUMN_FAMILY, nameBytes),
"The chosen state name 'default' collides with the name of the default column family!");
return new ColumnFamilyDescriptor(nameBytes, options);
}
|
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<p>Sets TTL compaction filter if {@code ttlCompactFiltersManager} is not {@code null}.
|
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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/RocksDBOperationUtils.java#L125-L139
|
train
|
Creates a column family descriptor for the given state meta info base.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/hazelcast/HazelcastProperties.java
|
HazelcastProperties.resolveConfigLocation
|
public Resource resolveConfigLocation() {
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|
java
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public Resource resolveConfigLocation() {
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/hazelcast/HazelcastProperties.java#L51-L58
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train
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apache/spark
|
common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java
|
UTF8String.writeToMemory
|
public void writeToMemory(Object target, long targetOffset) {
Platform.copyMemory(base, offset, target, targetOffset, numBytes);
}
|
java
|
public void writeToMemory(Object target, long targetOffset) {
Platform.copyMemory(base, offset, target, targetOffset, numBytes);
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Writes the content of this string into a memory address, identified by an object and an offset.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L170-L172
|
train
|
Write the contents of this object to the given target object.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
|
DataSet.writeAsCsv
|
public DataSink<T> writeAsCsv(String filePath) {
return writeAsCsv(filePath, CsvOutputFormat.DEFAULT_LINE_DELIMITER, CsvOutputFormat.DEFAULT_FIELD_DELIMITER);
}
|
java
|
public DataSink<T> writeAsCsv(String filePath) {
return writeAsCsv(filePath, CsvOutputFormat.DEFAULT_LINE_DELIMITER, CsvOutputFormat.DEFAULT_FIELD_DELIMITER);
}
|
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Writes a {@link Tuple} DataSet as CSV file(s) to the specified location.
<p><b>Note: Only a Tuple DataSet can written as a CSV file.</b>
<p>For each Tuple field the result of {@link Object#toString()} is written.
Tuple fields are separated by the default field delimiter {@code "comma" (,)}.
<p>Tuples are are separated by the newline character ({@code \n}).
@param filePath The path pointing to the location the CSV file is written to.
@return The DataSink that writes the DataSet.
@see Tuple
@see CsvOutputFormat
@see DataSet#writeAsText(String) Output files and directories
|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1564-L1566
|
train
|
Write the data sink to a file using CSV.
|
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apache/flink
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flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ExceptionProxy.java
|
ExceptionProxy.checkAndThrowException
|
public void checkAndThrowException() throws Exception {
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if (t != null) {
if (t instanceof Exception) {
throw (Exception) t;
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else if (t instanceof Error) {
throw (Error) t;
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throw new Exception(t);
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}
}
|
java
|
public void checkAndThrowException() throws Exception {
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if (t instanceof Exception) {
throw (Exception) t;
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else if (t instanceof Error) {
throw (Error) t;
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ExceptionProxy.java#L115-L128
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train
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Check if the exception is an exception and throw it.
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/MDAG/MDAGNode.java
|
MDAGNode.reassignOutgoingTransition
|
public void reassignOutgoingTransition(char letter, MDAGNode oldTargetNode, MDAGNode newTargetNode)
{
oldTargetNode.incomingTransitionCount--;
newTargetNode.incomingTransitionCount++;
outgoingTransitionTreeMap.put(letter, newTargetNode);
}
|
java
|
public void reassignOutgoingTransition(char letter, MDAGNode oldTargetNode, MDAGNode newTargetNode)
{
oldTargetNode.incomingTransitionCount--;
newTargetNode.incomingTransitionCount++;
outgoingTransitionTreeMap.put(letter, newTargetNode);
}
|
[
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";",
"outgoingTransitionTreeMap",
".",
"put",
"(",
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"newTargetNode",
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";",
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] |
重新设置转移状态函数的目标
Reassigns the target node of one of this node's outgoing transitions.
@param letter the char which labels the outgoing _transition of interest
@param oldTargetNode the MDAGNode that is currently the target of the _transition of interest
@param newTargetNode the MDAGNode that is to be the target of the _transition of interest
|
[
"重新设置转移状态函数的目标",
"Reassigns",
"the",
"target",
"node",
"of",
"one",
"of",
"this",
"node",
"s",
"outgoing",
"transitions",
"."
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/MDAG/MDAGNode.java#L387-L393
|
train
|
Reassign an outgoing transition.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/SimpleCache.java
|
SimpleCache.put
|
public V put(K key, V value){
writeLock.lock();
try {
cache.put(key, value);
} finally {
writeLock.unlock();
}
return value;
}
|
java
|
public V put(K key, V value){
writeLock.lock();
try {
cache.put(key, value);
} finally {
writeLock.unlock();
}
return value;
}
|
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放入缓存
@param key 键
@param value 值
@return 值
|
[
"放入缓存"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/SimpleCache.java#L48-L56
|
train
|
Associates the specified value with the specified key in the cache. If the mapping already contains a mapping for the key the old value is replaced.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.sort
|
public static <T> List<T> sort(Collection<T> collection, Comparator<? super T> comparator) {
List<T> list = new ArrayList<T>(collection);
Collections.sort(list, comparator);
return list;
}
|
java
|
public static <T> List<T> sort(Collection<T> collection, Comparator<? super T> comparator) {
List<T> list = new ArrayList<T>(collection);
Collections.sort(list, comparator);
return list;
}
|
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排序集合,排序不会修改原集合
@param <T> 集合元素类型
@param collection 集合
@param comparator 比较器
@return treeSet
|
[
"排序集合,排序不会修改原集合"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L2083-L2087
|
train
|
Creates a list of objects that is sorted using the specified comparator.
|
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/compiler/NFAStateNameHandler.java
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NFAStateNameHandler.getOriginalNameFromInternal
|
public static String getOriginalNameFromInternal(String internalName) {
Preconditions.checkNotNull(internalName);
return internalName.split(STATE_NAME_DELIM)[0];
}
|
java
|
public static String getOriginalNameFromInternal(String internalName) {
Preconditions.checkNotNull(internalName);
return internalName.split(STATE_NAME_DELIM)[0];
}
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Implements the reverse process of the {@link #getUniqueInternalName(String)}.
@param internalName The name to be decoded.
@return The original, user-specified name for the state.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/compiler/NFAStateNameHandler.java#L43-L46
|
train
|
Returns the original name of the state from the given internal name.
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostRequestEncoder.java
|
HttpPostRequestEncoder.addBodyAttribute
|
public void addBodyAttribute(String name, String value) throws ErrorDataEncoderException {
String svalue = value != null? value : StringUtil.EMPTY_STRING;
Attribute data = factory.createAttribute(request, checkNotNull(name, "name"), svalue);
addBodyHttpData(data);
}
|
java
|
public void addBodyAttribute(String name, String value) throws ErrorDataEncoderException {
String svalue = value != null? value : StringUtil.EMPTY_STRING;
Attribute data = factory.createAttribute(request, checkNotNull(name, "name"), svalue);
addBodyHttpData(data);
}
|
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@throws NullPointerException
for name
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|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostRequestEncoder.java#L338-L342
|
train
|
Add a body attribute.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/FileUtils.java
|
FileUtils.getRandomFilename
|
public static String getRandomFilename(final String prefix) {
final Random rnd = new Random();
final StringBuilder stringBuilder = new StringBuilder(prefix);
for (int i = 0; i < RANDOM_FILE_NAME_LENGTH; i++) {
stringBuilder.append(ALPHABET[rnd.nextInt(ALPHABET.length)]);
}
return stringBuilder.toString();
}
|
java
|
public static String getRandomFilename(final String prefix) {
final Random rnd = new Random();
final StringBuilder stringBuilder = new StringBuilder(prefix);
for (int i = 0; i < RANDOM_FILE_NAME_LENGTH; i++) {
stringBuilder.append(ALPHABET[rnd.nextInt(ALPHABET.length)]);
}
return stringBuilder.toString();
}
|
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Constructs a random filename with the given prefix and
a random part generated from hex characters.
@param prefix
the prefix to the filename to be constructed
@return the generated random filename with the given prefix
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/FileUtils.java#L90-L99
|
train
|
Get a random filename.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java
|
IOUtil.saveObjectTo
|
public static boolean saveObjectTo(Object o, String path)
{
try
{
ObjectOutputStream oos = new ObjectOutputStream(IOUtil.newOutputStream(path));
oos.writeObject(o);
oos.close();
}
catch (IOException e)
{
logger.warning("在保存对象" + o + "到" + path + "时发生异常" + e);
return false;
}
return true;
}
|
java
|
public static boolean saveObjectTo(Object o, String path)
{
try
{
ObjectOutputStream oos = new ObjectOutputStream(IOUtil.newOutputStream(path));
oos.writeObject(o);
oos.close();
}
catch (IOException e)
{
logger.warning("在保存对象" + o + "到" + path + "时发生异常" + e);
return false;
}
return true;
}
|
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序列化对象
@param o
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@return
|
[
"序列化对象"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java#L43-L58
|
train
|
Save object to a file
|
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30526
] |
apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/registration/RetryingRegistration.java
|
RetryingRegistration.register
|
@SuppressWarnings("unchecked")
private void register(final G gateway, final int attempt, final long timeoutMillis) {
// eager check for canceling to avoid some unnecessary work
if (canceled) {
return;
}
try {
log.info("Registration at {} attempt {} (timeout={}ms)", targetName, attempt, timeoutMillis);
CompletableFuture<RegistrationResponse> registrationFuture = invokeRegistration(gateway, fencingToken, timeoutMillis);
// if the registration was successful, let the TaskExecutor know
CompletableFuture<Void> registrationAcceptFuture = registrationFuture.thenAcceptAsync(
(RegistrationResponse result) -> {
if (!isCanceled()) {
if (result instanceof RegistrationResponse.Success) {
// registration successful!
S success = (S) result;
completionFuture.complete(Tuple2.of(gateway, success));
}
else {
// registration refused or unknown
if (result instanceof RegistrationResponse.Decline) {
RegistrationResponse.Decline decline = (RegistrationResponse.Decline) result;
log.info("Registration at {} was declined: {}", targetName, decline.getReason());
} else {
log.error("Received unknown response to registration attempt: {}", result);
}
log.info("Pausing and re-attempting registration in {} ms", retryingRegistrationConfiguration.getRefusedDelayMillis());
registerLater(gateway, 1, retryingRegistrationConfiguration.getInitialRegistrationTimeoutMillis(), retryingRegistrationConfiguration.getRefusedDelayMillis());
}
}
},
rpcService.getExecutor());
// upon failure, retry
registrationAcceptFuture.whenCompleteAsync(
(Void v, Throwable failure) -> {
if (failure != null && !isCanceled()) {
if (ExceptionUtils.stripCompletionException(failure) instanceof TimeoutException) {
// we simply have not received a response in time. maybe the timeout was
// very low (initial fast registration attempts), maybe the target endpoint is
// currently down.
if (log.isDebugEnabled()) {
log.debug("Registration at {} ({}) attempt {} timed out after {} ms",
targetName, targetAddress, attempt, timeoutMillis);
}
long newTimeoutMillis = Math.min(2 * timeoutMillis, retryingRegistrationConfiguration.getMaxRegistrationTimeoutMillis());
register(gateway, attempt + 1, newTimeoutMillis);
}
else {
// a serious failure occurred. we still should not give up, but keep trying
log.error("Registration at {} failed due to an error", targetName, failure);
log.info("Pausing and re-attempting registration in {} ms", retryingRegistrationConfiguration.getErrorDelayMillis());
registerLater(gateway, 1, retryingRegistrationConfiguration.getInitialRegistrationTimeoutMillis(), retryingRegistrationConfiguration.getErrorDelayMillis());
}
}
},
rpcService.getExecutor());
}
catch (Throwable t) {
completionFuture.completeExceptionally(t);
cancel();
}
}
|
java
|
@SuppressWarnings("unchecked")
private void register(final G gateway, final int attempt, final long timeoutMillis) {
// eager check for canceling to avoid some unnecessary work
if (canceled) {
return;
}
try {
log.info("Registration at {} attempt {} (timeout={}ms)", targetName, attempt, timeoutMillis);
CompletableFuture<RegistrationResponse> registrationFuture = invokeRegistration(gateway, fencingToken, timeoutMillis);
// if the registration was successful, let the TaskExecutor know
CompletableFuture<Void> registrationAcceptFuture = registrationFuture.thenAcceptAsync(
(RegistrationResponse result) -> {
if (!isCanceled()) {
if (result instanceof RegistrationResponse.Success) {
// registration successful!
S success = (S) result;
completionFuture.complete(Tuple2.of(gateway, success));
}
else {
// registration refused or unknown
if (result instanceof RegistrationResponse.Decline) {
RegistrationResponse.Decline decline = (RegistrationResponse.Decline) result;
log.info("Registration at {} was declined: {}", targetName, decline.getReason());
} else {
log.error("Received unknown response to registration attempt: {}", result);
}
log.info("Pausing and re-attempting registration in {} ms", retryingRegistrationConfiguration.getRefusedDelayMillis());
registerLater(gateway, 1, retryingRegistrationConfiguration.getInitialRegistrationTimeoutMillis(), retryingRegistrationConfiguration.getRefusedDelayMillis());
}
}
},
rpcService.getExecutor());
// upon failure, retry
registrationAcceptFuture.whenCompleteAsync(
(Void v, Throwable failure) -> {
if (failure != null && !isCanceled()) {
if (ExceptionUtils.stripCompletionException(failure) instanceof TimeoutException) {
// we simply have not received a response in time. maybe the timeout was
// very low (initial fast registration attempts), maybe the target endpoint is
// currently down.
if (log.isDebugEnabled()) {
log.debug("Registration at {} ({}) attempt {} timed out after {} ms",
targetName, targetAddress, attempt, timeoutMillis);
}
long newTimeoutMillis = Math.min(2 * timeoutMillis, retryingRegistrationConfiguration.getMaxRegistrationTimeoutMillis());
register(gateway, attempt + 1, newTimeoutMillis);
}
else {
// a serious failure occurred. we still should not give up, but keep trying
log.error("Registration at {} failed due to an error", targetName, failure);
log.info("Pausing and re-attempting registration in {} ms", retryingRegistrationConfiguration.getErrorDelayMillis());
registerLater(gateway, 1, retryingRegistrationConfiguration.getInitialRegistrationTimeoutMillis(), retryingRegistrationConfiguration.getErrorDelayMillis());
}
}
},
rpcService.getExecutor());
}
catch (Throwable t) {
completionFuture.completeExceptionally(t);
cancel();
}
}
|
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This method performs a registration attempt and triggers either a success notification or a retry,
depending on the result.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/registration/RetryingRegistration.java#L196-L263
|
train
|
Register with the Gateway.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple6.java
|
Tuple6.of
|
public static <T0, T1, T2, T3, T4, T5> Tuple6<T0, T1, T2, T3, T4, T5> of(T0 value0, T1 value1, T2 value2, T3 value3, T4 value4, T5 value5) {
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|
java
|
public static <T0, T1, T2, T3, T4, T5> Tuple6<T0, T1, T2, T3, T4, T5> of(T0 value0, T1 value1, T2 value2, T3 value3, T4 value4, T5 value5) {
return new Tuple6<>(value0,
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple6.java#L251-L258
|
train
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Construct a tuple with the specified values.
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apache/incubator-shardingsphere
|
sharding-proxy/sharding-proxy-backend/src/main/java/org/apache/shardingsphere/shardingproxy/backend/communication/jdbc/connection/BackendConnection.java
|
BackendConnection.setTransactionType
|
public void setTransactionType(final TransactionType transactionType) {
if (null == schemaName) {
throw new ShardingException("Please select database, then switch transaction type.");
}
if (isSwitchFailed()) {
throw new ShardingException("Failed to switch transaction type, please terminate current transaction.");
}
this.transactionType = transactionType;
}
|
java
|
public void setTransactionType(final TransactionType transactionType) {
if (null == schemaName) {
throw new ShardingException("Please select database, then switch transaction type.");
}
if (isSwitchFailed()) {
throw new ShardingException("Failed to switch transaction type, please terminate current transaction.");
}
this.transactionType = transactionType;
}
|
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@param transactionType transaction type
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-proxy/sharding-proxy-backend/src/main/java/org/apache/shardingsphere/shardingproxy/backend/communication/jdbc/connection/BackendConnection.java#L90-L98
|
train
|
Sets the transaction type.
|
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apache/flink
|
flink-connectors/flink-hcatalog/src/main/java/org/apache/flink/hcatalog/HCatInputFormatBase.java
|
HCatInputFormatBase.asFlinkTuples
|
public HCatInputFormatBase<T> asFlinkTuples() throws HCatException {
// build type information
int numFields = outputSchema.getFields().size();
if (numFields > this.getMaxFlinkTupleSize()) {
throw new IllegalArgumentException("Only up to " + this.getMaxFlinkTupleSize() +
" fields can be returned as Flink tuples.");
}
TypeInformation[] fieldTypes = new TypeInformation[numFields];
fieldNames = new String[numFields];
for (String fieldName : outputSchema.getFieldNames()) {
HCatFieldSchema field = outputSchema.get(fieldName);
int fieldPos = outputSchema.getPosition(fieldName);
TypeInformation fieldType = getFieldType(field);
fieldTypes[fieldPos] = fieldType;
fieldNames[fieldPos] = fieldName;
}
this.resultType = new TupleTypeInfo(fieldTypes);
return this;
}
|
java
|
public HCatInputFormatBase<T> asFlinkTuples() throws HCatException {
// build type information
int numFields = outputSchema.getFields().size();
if (numFields > this.getMaxFlinkTupleSize()) {
throw new IllegalArgumentException("Only up to " + this.getMaxFlinkTupleSize() +
" fields can be returned as Flink tuples.");
}
TypeInformation[] fieldTypes = new TypeInformation[numFields];
fieldNames = new String[numFields];
for (String fieldName : outputSchema.getFieldNames()) {
HCatFieldSchema field = outputSchema.get(fieldName);
int fieldPos = outputSchema.getPosition(fieldName);
TypeInformation fieldType = getFieldType(field);
fieldTypes[fieldPos] = fieldType;
fieldNames[fieldPos] = fieldName;
}
this.resultType = new TupleTypeInfo(fieldTypes);
return this;
}
|
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@throws org.apache.hive.hcatalog.common.HCatException
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-hcatalog/src/main/java/org/apache/flink/hcatalog/HCatInputFormatBase.java#L175-L199
|
train
|
Returns the output as Flink tuples.
|
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/SpringApplication.java
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SpringApplication.run
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public static ConfigurableApplicationContext run(Class<?>[] primarySources,
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return new SpringApplication(primarySources).run(args);
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java
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public static ConfigurableApplicationContext run(Class<?>[] primarySources,
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/SpringApplication.java#L1273-L1276
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train
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Run application with given primary sources and command line arguments.
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/AllWindowedStream.java
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AllWindowedStream.aggregate
|
@PublicEvolving
public <ACC, V, R> SingleOutputStreamOperator<R> aggregate(
AggregateFunction<T, ACC, V> aggFunction,
ProcessAllWindowFunction<V, R, W> windowFunction) {
checkNotNull(aggFunction, "aggFunction");
checkNotNull(windowFunction, "windowFunction");
TypeInformation<ACC> accumulatorType = TypeExtractor.getAggregateFunctionAccumulatorType(
aggFunction, input.getType(), null, false);
TypeInformation<V> aggResultType = TypeExtractor.getAggregateFunctionReturnType(
aggFunction, input.getType(), null, false);
TypeInformation<R> resultType = getProcessAllWindowFunctionReturnType(windowFunction, aggResultType);
return aggregate(aggFunction, windowFunction, accumulatorType, aggResultType, resultType);
}
|
java
|
@PublicEvolving
public <ACC, V, R> SingleOutputStreamOperator<R> aggregate(
AggregateFunction<T, ACC, V> aggFunction,
ProcessAllWindowFunction<V, R, W> windowFunction) {
checkNotNull(aggFunction, "aggFunction");
checkNotNull(windowFunction, "windowFunction");
TypeInformation<ACC> accumulatorType = TypeExtractor.getAggregateFunctionAccumulatorType(
aggFunction, input.getType(), null, false);
TypeInformation<V> aggResultType = TypeExtractor.getAggregateFunctionReturnType(
aggFunction, input.getType(), null, false);
TypeInformation<R> resultType = getProcessAllWindowFunctionReturnType(windowFunction, aggResultType);
return aggregate(aggFunction, windowFunction, accumulatorType, aggResultType, resultType);
}
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Applies the given window function to each window. The window function is called for each
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@param aggFunction The aggregate function that is used for incremental aggregation.
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@return The data stream that is the result of applying the window function to the window.
@param <ACC> The type of the AggregateFunction's accumulator
@param <V> The type of AggregateFunction's result, and the WindowFunction's input
@param <R> The type of the elements in the resulting stream, equal to the
WindowFunction's result type
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/AllWindowedStream.java#L657-L674
|
train
|
Returns a new DataSet aggregation using the specified aggregate function and process all window functions.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/recognition/nr/TranslatedPersonRecognition.java
|
TranslatedPersonRecognition.recognition
|
public static void recognition(List<Vertex> segResult, WordNet wordNetOptimum, WordNet wordNetAll)
{
StringBuilder sbName = new StringBuilder();
int appendTimes = 0;
ListIterator<Vertex> listIterator = segResult.listIterator();
listIterator.next();
int line = 1;
int activeLine = 1;
while (listIterator.hasNext())
{
Vertex vertex = listIterator.next();
if (appendTimes > 0)
{
if (vertex.guessNature() == Nature.nrf || TranslatedPersonDictionary.containsKey(vertex.realWord))
{
sbName.append(vertex.realWord);
++appendTimes;
}
else
{
// 识别结束
if (appendTimes > 1)
{
if (HanLP.Config.DEBUG)
{
System.out.println("音译人名识别出:" + sbName.toString());
}
wordNetOptimum.insert(activeLine, new Vertex(Predefine.TAG_PEOPLE, sbName.toString(), new CoreDictionary.Attribute(Nature.nrf), WORD_ID), wordNetAll);
}
sbName.setLength(0);
appendTimes = 0;
}
}
else
{
// nrf触发识别
if (vertex.guessNature() == Nature.nrf
// || TranslatedPersonDictionary.containsKey(vertex.realWord)
)
{
sbName.append(vertex.realWord);
++appendTimes;
activeLine = line;
}
}
line += vertex.realWord.length();
}
}
|
java
|
public static void recognition(List<Vertex> segResult, WordNet wordNetOptimum, WordNet wordNetAll)
{
StringBuilder sbName = new StringBuilder();
int appendTimes = 0;
ListIterator<Vertex> listIterator = segResult.listIterator();
listIterator.next();
int line = 1;
int activeLine = 1;
while (listIterator.hasNext())
{
Vertex vertex = listIterator.next();
if (appendTimes > 0)
{
if (vertex.guessNature() == Nature.nrf || TranslatedPersonDictionary.containsKey(vertex.realWord))
{
sbName.append(vertex.realWord);
++appendTimes;
}
else
{
// 识别结束
if (appendTimes > 1)
{
if (HanLP.Config.DEBUG)
{
System.out.println("音译人名识别出:" + sbName.toString());
}
wordNetOptimum.insert(activeLine, new Vertex(Predefine.TAG_PEOPLE, sbName.toString(), new CoreDictionary.Attribute(Nature.nrf), WORD_ID), wordNetAll);
}
sbName.setLength(0);
appendTimes = 0;
}
}
else
{
// nrf触发识别
if (vertex.guessNature() == Nature.nrf
// || TranslatedPersonDictionary.containsKey(vertex.realWord)
)
{
sbName.append(vertex.realWord);
++appendTimes;
activeLine = line;
}
}
line += vertex.realWord.length();
}
}
|
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] |
执行识别
@param segResult 粗分结果
@param wordNetOptimum 粗分结果对应的词图
@param wordNetAll 全词图
|
[
"执行识别"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/recognition/nr/TranslatedPersonRecognition.java#L39-L87
|
train
|
Recognition method.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java
|
ParameterTool.getFloat
|
public float getFloat(String key) {
addToDefaults(key, null);
String value = getRequired(key);
return Float.valueOf(value);
}
|
java
|
public float getFloat(String key) {
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String value = getRequired(key);
return Float.valueOf(value);
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Returns the Float value for the given key.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java#L335-L339
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netty/netty
|
common/src/main/java/io/netty/util/internal/logging/MessageFormatter.java
|
MessageFormatter.format
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static FormattingTuple format(final String messagePattern,
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java
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static FormattingTuple format(final String messagePattern,
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MessageFormatter.format("Hi {}. My name is {}.", "Alice", "Bob");
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<p/>
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@param messagePattern The message pattern which will be parsed and formatted
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/internal/logging/MessageFormatter.java#L155-L158
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train
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Format the message pattern with the given arguments.
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apache/flink
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flink-core/src/main/java/org/apache/flink/types/Record.java
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Record.getFieldInto
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public boolean getFieldInto(int fieldNum, Value target) {
// range check
if (fieldNum < 0 || fieldNum >= this.numFields) {
throw new IndexOutOfBoundsException();
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// get offset and check for null
int offset = this.offsets[fieldNum];
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updateBinaryRepresenation();
offset = this.offsets[fieldNum];
}
final int limit = offset + this.lengths[fieldNum];
deserialize(target, offset, limit, fieldNum);
return true;
}
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java
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public boolean getFieldInto(int fieldNum, Value target) {
// range check
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throw new IndexOutOfBoundsException();
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// get offset and check for null
int offset = this.offsets[fieldNum];
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updateBinaryRepresenation();
offset = this.offsets[fieldNum];
}
final int limit = offset + this.lengths[fieldNum];
deserialize(target, offset, limit, fieldNum);
return true;
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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Gets the value of the specified field in the given target object.
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] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/suggest/scorer/pinyin/PinyinKey.java
|
PinyinKey.size
|
public int size()
{
int length = 0;
for (Pinyin pinyin : pinyinArray)
{
if (pinyin != Pinyin.none5) ++length;
}
return length;
}
|
java
|
public int size()
{
int length = 0;
for (Pinyin pinyin : pinyinArray)
{
if (pinyin != Pinyin.none5) ++length;
}
return length;
}
|
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] |
拼音的个数
@return
|
[
"拼音的个数"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/suggest/scorer/pinyin/PinyinKey.java#L120-L129
|
train
|
Get the size of the array of CID .
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java
|
SegmentsUtil.setFloat
|
public static void setFloat(MemorySegment[] segments, int offset, float value) {
if (inFirstSegment(segments, offset, 4)) {
segments[0].putFloat(offset, value);
} else {
setFloatMultiSegments(segments, offset, value);
}
}
|
java
|
public static void setFloat(MemorySegment[] segments, int offset, float value) {
if (inFirstSegment(segments, offset, 4)) {
segments[0].putFloat(offset, value);
} else {
setFloatMultiSegments(segments, offset, value);
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java#L878-L884
|
train
|
set float from segments.
|
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netty/netty
|
codec/src/main/java/io/netty/handler/codec/ByteToMessageDecoder.java
|
ByteToMessageDecoder.fireChannelRead
|
static void fireChannelRead(ChannelHandlerContext ctx, CodecOutputList msgs, int numElements) {
for (int i = 0; i < numElements; i ++) {
ctx.fireChannelRead(msgs.getUnsafe(i));
}
}
|
java
|
static void fireChannelRead(ChannelHandlerContext ctx, CodecOutputList msgs, int numElements) {
for (int i = 0; i < numElements; i ++) {
ctx.fireChannelRead(msgs.getUnsafe(i));
}
}
|
[
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Get {@code numElements} out of the {@link CodecOutputList} and forward these through the pipeline.
|
[
"Get",
"{"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/ByteToMessageDecoder.java#L321-L325
|
train
|
Fire channel read events.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryString.java
|
BinaryString.indexOf
|
public int indexOf(BinaryString subStr, int start) {
ensureMaterialized();
subStr.ensureMaterialized();
if (subStr.sizeInBytes == 0) {
return 0;
}
if (inFirstSegment()) {
// position in byte
int byteIdx = 0;
// position is char
int charIdx = 0;
while (byteIdx < sizeInBytes && charIdx < start) {
byteIdx += numBytesForFirstByte(getByteOneSegment(byteIdx));
charIdx++;
}
do {
if (byteIdx + subStr.sizeInBytes > sizeInBytes) {
return -1;
}
if (SegmentsUtil.equals(segments, offset + byteIdx,
subStr.segments, subStr.offset, subStr.sizeInBytes)) {
return charIdx;
}
byteIdx += numBytesForFirstByte(getByteOneSegment(byteIdx));
charIdx++;
} while (byteIdx < sizeInBytes);
return -1;
} else {
return indexOfSlow(subStr, start);
}
}
|
java
|
public int indexOf(BinaryString subStr, int start) {
ensureMaterialized();
subStr.ensureMaterialized();
if (subStr.sizeInBytes == 0) {
return 0;
}
if (inFirstSegment()) {
// position in byte
int byteIdx = 0;
// position is char
int charIdx = 0;
while (byteIdx < sizeInBytes && charIdx < start) {
byteIdx += numBytesForFirstByte(getByteOneSegment(byteIdx));
charIdx++;
}
do {
if (byteIdx + subStr.sizeInBytes > sizeInBytes) {
return -1;
}
if (SegmentsUtil.equals(segments, offset + byteIdx,
subStr.segments, subStr.offset, subStr.sizeInBytes)) {
return charIdx;
}
byteIdx += numBytesForFirstByte(getByteOneSegment(byteIdx));
charIdx++;
} while (byteIdx < sizeInBytes);
return -1;
} else {
return indexOfSlow(subStr, start);
}
}
|
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@param subStr subStr to be searched
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@return the position of the first occurence of substring. Return -1 if not found.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryString.java#L1045-L1076
|
train
|
Returns the index of the first occurrence of the specified substring in this string.
|
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] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.setOrAppend
|
public static Object setOrAppend(Object array, int index, Object value) {
if(index < length(array)) {
Array.set(array, index, value);
return array;
}else {
return append(array, value);
}
}
|
java
|
public static Object setOrAppend(Object array, int index, Object value) {
if(index < length(array)) {
Array.set(array, index, value);
return array;
}else {
return append(array, value);
}
}
|
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] |
将元素值设置为数组的某个位置,当给定的index大于数组长度,则追加
@param array 已有数组
@param index 位置,大于长度追加,否则替换
@param value 新值
@return 新数组或原有数组
@since 4.1.2
|
[
"将元素值设置为数组的某个位置,当给定的index大于数组长度,则追加"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L435-L442
|
train
|
Sets the value of the specified index in the array or appends the value to the end of the array.
|
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatServletWebServerFactory.java
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TomcatServletWebServerFactory.addContextValves
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public void addContextValves(Valve... contextValves) {
Assert.notNull(contextValves, "Valves must not be null");
this.contextValves.addAll(Arrays.asList(contextValves));
}
|
java
|
public void addContextValves(Valve... contextValves) {
Assert.notNull(contextValves, "Valves must not be null");
this.contextValves.addAll(Arrays.asList(contextValves));
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@param contextValves the valves to add
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[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatServletWebServerFactory.java#L540-L543
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train
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Add a list of context valves to the context.
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SeleniumHQ/selenium
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java/client/src/org/openqa/selenium/interactions/touch/TouchActions.java
|
TouchActions.scroll
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public TouchActions scroll(WebElement onElement, int xOffset, int yOffset) {
if (touchScreen != null) {
action.addAction(new ScrollAction(touchScreen, (Locatable) onElement, xOffset, yOffset));
}
return this;
}
|
java
|
public TouchActions scroll(WebElement onElement, int xOffset, int yOffset) {
if (touchScreen != null) {
action.addAction(new ScrollAction(touchScreen, (Locatable) onElement, xOffset, yOffset));
}
return this;
}
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@param onElement the {@link WebElement} where the scroll starts.
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7af172729f17b20269c8ca4ea6f788db48616535
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https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/interactions/touch/TouchActions.java#L115-L120
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train
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Scroll the specified element.
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apache/flink
|
flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDBStateDownloader.java
|
RocksDBStateDownloader.transferAllStateDataToDirectory
|
public void transferAllStateDataToDirectory(
IncrementalRemoteKeyedStateHandle restoreStateHandle,
Path dest,
CloseableRegistry closeableRegistry) throws Exception {
final Map<StateHandleID, StreamStateHandle> sstFiles =
restoreStateHandle.getSharedState();
final Map<StateHandleID, StreamStateHandle> miscFiles =
restoreStateHandle.getPrivateState();
downloadDataForAllStateHandles(sstFiles, dest, closeableRegistry);
downloadDataForAllStateHandles(miscFiles, dest, closeableRegistry);
}
|
java
|
public void transferAllStateDataToDirectory(
IncrementalRemoteKeyedStateHandle restoreStateHandle,
Path dest,
CloseableRegistry closeableRegistry) throws Exception {
final Map<StateHandleID, StreamStateHandle> sstFiles =
restoreStateHandle.getSharedState();
final Map<StateHandleID, StreamStateHandle> miscFiles =
restoreStateHandle.getPrivateState();
downloadDataForAllStateHandles(sstFiles, dest, closeableRegistry);
downloadDataForAllStateHandles(miscFiles, dest, closeableRegistry);
}
|
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Transfer all state data to the target directory using specified number of threads.
@param restoreStateHandle Handles used to retrieve the state data.
@param dest The target directory which the state data will be stored.
@throws Exception Thrown if can not transfer all the state data.
|
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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/RocksDBStateDownloader.java#L56-L68
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train
|
Transfer all state data to the directory specified by the given restore state handle.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/util/DependencyVisitor.java
|
DependencyVisitor.addNameSpace
|
public void addNameSpace(Set<String> names) {
for (String name : names) {
this.nameSpace.add(name.replace('.', '/'));
}
}
|
java
|
public void addNameSpace(Set<String> names) {
for (String name : names) {
this.nameSpace.add(name.replace('.', '/'));
}
}
|
[
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"addNameSpace",
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"name",
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"replace",
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"'",
"'",
",",
"'",
"'",
")",
")",
";",
"}",
"}"
] |
---------------------------------------------------------------------------------------------
|
[
"---------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/DependencyVisitor.java#L98-L102
|
train
|
Add a set of names to the name space.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/Checkpoints.java
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Checkpoints.loadCheckpointMetadata
|
public static Savepoint loadCheckpointMetadata(DataInputStream in, ClassLoader classLoader) throws IOException {
checkNotNull(in, "input stream");
checkNotNull(classLoader, "classLoader");
final int magicNumber = in.readInt();
if (magicNumber == HEADER_MAGIC_NUMBER) {
final int version = in.readInt();
final SavepointSerializer<?> serializer = SavepointSerializers.getSerializer(version);
if (serializer != null) {
return serializer.deserialize(in, classLoader);
}
else {
throw new IOException("Unrecognized checkpoint version number: " + version);
}
}
else {
throw new IOException("Unexpected magic number. This can have multiple reasons: " +
"(1) You are trying to load a Flink 1.0 savepoint, which is not supported by this " +
"version of Flink. (2) The file you were pointing to is not a savepoint at all. " +
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}
}
|
java
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public static Savepoint loadCheckpointMetadata(DataInputStream in, ClassLoader classLoader) throws IOException {
checkNotNull(in, "input stream");
checkNotNull(classLoader, "classLoader");
final int magicNumber = in.readInt();
if (magicNumber == HEADER_MAGIC_NUMBER) {
final int version = in.readInt();
final SavepointSerializer<?> serializer = SavepointSerializers.getSerializer(version);
if (serializer != null) {
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else {
throw new IOException("Unrecognized checkpoint version number: " + version);
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else {
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}
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/Checkpoints.java#L98-L121
|
train
|
Load the checkpoint metadata from the given input stream.
|
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30526
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apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
|
SqlValidatorImpl.validateAccess
|
private void validateAccess(
SqlNode node,
SqlValidatorTable table,
SqlAccessEnum requiredAccess) {
if (table != null) {
SqlAccessType access = table.getAllowedAccess();
if (!access.allowsAccess(requiredAccess)) {
throw newValidationError(node,
RESOURCE.accessNotAllowed(requiredAccess.name(),
table.getQualifiedName().toString()));
}
}
}
|
java
|
private void validateAccess(
SqlNode node,
SqlValidatorTable table,
SqlAccessEnum requiredAccess) {
if (table != null) {
SqlAccessType access = table.getAllowedAccess();
if (!access.allowsAccess(requiredAccess)) {
throw newValidationError(node,
RESOURCE.accessNotAllowed(requiredAccess.name(),
table.getQualifiedName().toString()));
}
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L4635-L4647
|
train
|
Validate access.
|
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getInt16
|
public final int getInt16(final int pos) {
final int position = origin + pos;
if (pos + 1 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 1)));
byte[] buf = buffer;
return (0xff & buf[position]) | ((buf[position + 1]) << 8);
}
|
java
|
public final int getInt16(final int pos) {
final int position = origin + pos;
if (pos + 1 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 1)));
byte[] buf = buffer;
return (0xff & buf[position]) | ((buf[position + 1]) << 8);
}
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@see mysql-5.1.60/include/my_global.h - sint2korr
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8f088cddc0755f4350c5aaae95c6e4002d90a40f
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https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L245-L253
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train
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Gets an 16 - bit integer from the buffer.
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.isDirectory
|
public static boolean isDirectory(Path path, boolean isFollowLinks) {
if (null == path) {
return false;
}
final LinkOption[] options = isFollowLinks ? new LinkOption[0] : new LinkOption[] { LinkOption.NOFOLLOW_LINKS };
return Files.isDirectory(path, options);
}
|
java
|
public static boolean isDirectory(Path path, boolean isFollowLinks) {
if (null == path) {
return false;
}
final LinkOption[] options = isFollowLinks ? new LinkOption[0] : new LinkOption[] { LinkOption.NOFOLLOW_LINKS };
return Files.isDirectory(path, options);
}
|
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判断是否为目录,如果file为null,则返回false
@param path {@link Path}
@param isFollowLinks 是否追踪到软链对应的真实地址
@return 如果为目录true
@since 3.1.0
|
[
"判断是否为目录,如果file为null,则返回false"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L1257-L1263
|
train
|
Checks if the given path points to a directory.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.newerThan
|
public static boolean newerThan(File file, long timeMillis) {
if (null == file || false == file.exists()) {
return false;// 不存在的文件一定比任何时间旧
}
return file.lastModified() > timeMillis;
}
|
java
|
public static boolean newerThan(File file, long timeMillis) {
if (null == file || false == file.exists()) {
return false;// 不存在的文件一定比任何时间旧
}
return file.lastModified() > timeMillis;
}
|
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] |
给定文件或目录的最后修改时间是否晚于给定时间
@param file 文件或目录
@param timeMillis 做为对比的时间
@return 是否晚于给定时间
|
[
"给定文件或目录的最后修改时间是否晚于给定时间"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L580-L585
|
train
|
Checks if the given file is newer than the given time.
|
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/SslHandler.java
|
SslHandler.renegotiate
|
public Future<Channel> renegotiate() {
ChannelHandlerContext ctx = this.ctx;
if (ctx == null) {
throw new IllegalStateException();
}
return renegotiate(ctx.executor().<Channel>newPromise());
}
|
java
|
public Future<Channel> renegotiate() {
ChannelHandlerContext ctx = this.ctx;
if (ctx == null) {
throw new IllegalStateException();
}
return renegotiate(ctx.executor().<Channel>newPromise());
}
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Performs TLS renegotiation.
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[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/SslHandler.java#L1895-L1902
|
train
|
Renders the channel to the current user.
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/word2vec/AbstractVectorModel.java
|
AbstractVectorModel.nearest
|
public List<Map.Entry<K, Float>> nearest(Vector vector, int size)
{
MaxHeap<Map.Entry<K, Float>> maxHeap = new MaxHeap<Map.Entry<K, Float>>(size, new Comparator<Map.Entry<K, Float>>()
{
@Override
public int compare(Map.Entry<K, Float> o1, Map.Entry<K, Float> o2)
{
return o1.getValue().compareTo(o2.getValue());
}
});
for (Map.Entry<K, Vector> entry : storage.entrySet())
{
maxHeap.add(new AbstractMap.SimpleEntry<K, Float>(entry.getKey(), entry.getValue().cosineForUnitVector(vector)));
}
return maxHeap.toList();
}
|
java
|
public List<Map.Entry<K, Float>> nearest(Vector vector, int size)
{
MaxHeap<Map.Entry<K, Float>> maxHeap = new MaxHeap<Map.Entry<K, Float>>(size, new Comparator<Map.Entry<K, Float>>()
{
@Override
public int compare(Map.Entry<K, Float> o1, Map.Entry<K, Float> o2)
{
return o1.getValue().compareTo(o2.getValue());
}
});
for (Map.Entry<K, Vector> entry : storage.entrySet())
{
maxHeap.add(new AbstractMap.SimpleEntry<K, Float>(entry.getKey(), entry.getValue().cosineForUnitVector(vector)));
}
return maxHeap.toList();
}
|
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获取与向量最相似的词语
@param vector 向量
@param size topN个
@return 键值对列表, 键是相似词语, 值是相似度, 按相似度降序排列
|
[
"获取与向量最相似的词语"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/word2vec/AbstractVectorModel.java#L125-L141
|
train
|
Get the nearest list of entries in the storage.
|
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apache/flink
|
flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDBStateUploader.java
|
RocksDBStateUploader.uploadFilesToCheckpointFs
|
public Map<StateHandleID, StreamStateHandle> uploadFilesToCheckpointFs(
@Nonnull Map<StateHandleID, Path> files,
CheckpointStreamFactory checkpointStreamFactory,
CloseableRegistry closeableRegistry) throws Exception {
Map<StateHandleID, StreamStateHandle> handles = new HashMap<>();
Map<StateHandleID, CompletableFuture<StreamStateHandle>> futures =
createUploadFutures(files, checkpointStreamFactory, closeableRegistry);
try {
FutureUtils.waitForAll(futures.values()).get();
for (Map.Entry<StateHandleID, CompletableFuture<StreamStateHandle>> entry : futures.entrySet()) {
handles.put(entry.getKey(), entry.getValue().get());
}
} catch (ExecutionException e) {
Throwable throwable = ExceptionUtils.stripExecutionException(e);
throwable = ExceptionUtils.stripException(throwable, RuntimeException.class);
if (throwable instanceof IOException) {
throw (IOException) throwable;
} else {
throw new FlinkRuntimeException("Failed to download data for state handles.", e);
}
}
return handles;
}
|
java
|
public Map<StateHandleID, StreamStateHandle> uploadFilesToCheckpointFs(
@Nonnull Map<StateHandleID, Path> files,
CheckpointStreamFactory checkpointStreamFactory,
CloseableRegistry closeableRegistry) throws Exception {
Map<StateHandleID, StreamStateHandle> handles = new HashMap<>();
Map<StateHandleID, CompletableFuture<StreamStateHandle>> futures =
createUploadFutures(files, checkpointStreamFactory, closeableRegistry);
try {
FutureUtils.waitForAll(futures.values()).get();
for (Map.Entry<StateHandleID, CompletableFuture<StreamStateHandle>> entry : futures.entrySet()) {
handles.put(entry.getKey(), entry.getValue().get());
}
} catch (ExecutionException e) {
Throwable throwable = ExceptionUtils.stripExecutionException(e);
throwable = ExceptionUtils.stripException(throwable, RuntimeException.class);
if (throwable instanceof IOException) {
throw (IOException) throwable;
} else {
throw new FlinkRuntimeException("Failed to download data for state handles.", e);
}
}
return handles;
}
|
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Upload all the files to checkpoint fileSystem using specified number of threads.
@param files The files will be uploaded to checkpoint filesystem.
@param checkpointStreamFactory The checkpoint streamFactory used to create outputstream.
@throws Exception Thrown if can not upload all the files.
|
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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/RocksDBStateUploader.java#L62-L89
|
train
|
Upload a list of files to the checkpoint fs.
|
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30526
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.groupReduceOnNeighbors
|
public <T> DataSet<T> groupReduceOnNeighbors(NeighborsFunction<K, VV, EV, T> neighborsFunction,
EdgeDirection direction, TypeInformation<T> typeInfo) throws IllegalArgumentException {
switch (direction) {
case IN:
// create <edge-sourceVertex> pairs
DataSet<Tuple3<K, Edge<K, EV>, Vertex<K, VV>>> edgesWithSources = edges
.join(this.vertices).where(0).equalTo(0)
.with(new ProjectVertexIdJoin<>(1))
.withForwardedFieldsFirst("f1->f0").name("Edge with source vertex ID");
return edgesWithSources.groupBy(0).reduceGroup(
new ApplyNeighborGroupReduceFunction<>(neighborsFunction))
.name("Neighbors function").returns(typeInfo);
case OUT:
// create <edge-targetVertex> pairs
DataSet<Tuple3<K, Edge<K, EV>, Vertex<K, VV>>> edgesWithTargets = edges
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectVertexIdJoin<>(0))
.withForwardedFieldsFirst("f0").name("Edge with target vertex ID");
return edgesWithTargets.groupBy(0).reduceGroup(
new ApplyNeighborGroupReduceFunction<>(neighborsFunction))
.name("Neighbors function").returns(typeInfo);
case ALL:
// create <edge-sourceOrTargetVertex> pairs
DataSet<Tuple3<K, Edge<K, EV>, Vertex<K, VV>>> edgesWithNeighbors = edges
.flatMap(new EmitOneEdgeWithNeighborPerNode<>())
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectEdgeWithNeighbor<>()).name("Edge with vertex ID");
return edgesWithNeighbors.groupBy(0).reduceGroup(
new ApplyNeighborGroupReduceFunction<>(neighborsFunction))
.name("Neighbors function").returns(typeInfo);
default:
throw new IllegalArgumentException("Illegal edge direction");
}
}
|
java
|
public <T> DataSet<T> groupReduceOnNeighbors(NeighborsFunction<K, VV, EV, T> neighborsFunction,
EdgeDirection direction, TypeInformation<T> typeInfo) throws IllegalArgumentException {
switch (direction) {
case IN:
// create <edge-sourceVertex> pairs
DataSet<Tuple3<K, Edge<K, EV>, Vertex<K, VV>>> edgesWithSources = edges
.join(this.vertices).where(0).equalTo(0)
.with(new ProjectVertexIdJoin<>(1))
.withForwardedFieldsFirst("f1->f0").name("Edge with source vertex ID");
return edgesWithSources.groupBy(0).reduceGroup(
new ApplyNeighborGroupReduceFunction<>(neighborsFunction))
.name("Neighbors function").returns(typeInfo);
case OUT:
// create <edge-targetVertex> pairs
DataSet<Tuple3<K, Edge<K, EV>, Vertex<K, VV>>> edgesWithTargets = edges
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectVertexIdJoin<>(0))
.withForwardedFieldsFirst("f0").name("Edge with target vertex ID");
return edgesWithTargets.groupBy(0).reduceGroup(
new ApplyNeighborGroupReduceFunction<>(neighborsFunction))
.name("Neighbors function").returns(typeInfo);
case ALL:
// create <edge-sourceOrTargetVertex> pairs
DataSet<Tuple3<K, Edge<K, EV>, Vertex<K, VV>>> edgesWithNeighbors = edges
.flatMap(new EmitOneEdgeWithNeighborPerNode<>())
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectEdgeWithNeighbor<>()).name("Edge with vertex ID");
return edgesWithNeighbors.groupBy(0).reduceGroup(
new ApplyNeighborGroupReduceFunction<>(neighborsFunction))
.name("Neighbors function").returns(typeInfo);
default:
throw new IllegalArgumentException("Illegal edge direction");
}
}
|
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] |
Groups by vertex and computes a GroupReduce transformation over the neighbors (both edges and vertices)
of each vertex. The neighborsFunction applied on the neighbors only has access to the vertex id
(not the vertex value) of the grouping vertex.
<p>For each vertex, the neighborsFunction can iterate over all neighbors of this vertex
with the specified direction, and emit any number of output elements, including none.
@param neighborsFunction the group reduce function to apply to the neighboring edges and vertices
of each vertex.
@param direction the edge direction (in-, out-, all-).
@param <T> the output type
@param typeInfo the explicit return type
@return a DataSet containing elements of type T
@throws IllegalArgumentException
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L2042-L2076
|
train
|
Group reduce on neighbors DataSet.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.validate
|
public Boolean validate(GraphValidator<K, VV, EV> validator) throws Exception {
return validator.validate(this);
}
|
java
|
public Boolean validate(GraphValidator<K, VV, EV> validator) throws Exception {
return validator.validate(this);
}
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";",
"}"
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Function that checks whether a Graph is a valid Graph,
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@return true if the Graph is valid.
|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L446-L448
|
train
|
Validate the graph.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/IOUtils.java
|
IOUtils.skipFully
|
public static void skipFully(final InputStream in, long len) throws IOException {
while (len > 0) {
final long ret = in.skip(len);
if (ret < 0) {
throw new IOException("Premeture EOF from inputStream");
}
len -= ret;
}
}
|
java
|
public static void skipFully(final InputStream in, long len) throws IOException {
while (len > 0) {
final long ret = in.skip(len);
if (ret < 0) {
throw new IOException("Premeture EOF from inputStream");
}
len -= ret;
}
}
|
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Similar to readFully(). Skips bytes in a loop.
@param in
The InputStream to skip bytes from
@param len
number of bytes to skip
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if it could not skip requested number of bytes for any reason (including EOF)
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/IOUtils.java#L152-L160
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train
|
Skips the given number of bytes from the given input stream.
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/SslUtils.java
|
SslUtils.toBase64
|
static ByteBuf toBase64(ByteBufAllocator allocator, ByteBuf src) {
ByteBuf dst = Base64.encode(src, src.readerIndex(),
src.readableBytes(), true, Base64Dialect.STANDARD, allocator);
src.readerIndex(src.writerIndex());
return dst;
}
|
java
|
static ByteBuf toBase64(ByteBufAllocator allocator, ByteBuf src) {
ByteBuf dst = Base64.encode(src, src.readerIndex(),
src.readableBytes(), true, Base64Dialect.STANDARD, allocator);
src.readerIndex(src.writerIndex());
return dst;
}
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/SslUtils.java#L375-L380
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train
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Convert a byte buffer to a Base64 encoded version.
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/SslServerCustomizer.java
|
SslServerCustomizer.configureSsl
|
protected void configureSsl(SslContextFactory factory, Ssl ssl,
SslStoreProvider sslStoreProvider) {
factory.setProtocol(ssl.getProtocol());
configureSslClientAuth(factory, ssl);
configureSslPasswords(factory, ssl);
factory.setCertAlias(ssl.getKeyAlias());
if (!ObjectUtils.isEmpty(ssl.getCiphers())) {
factory.setIncludeCipherSuites(ssl.getCiphers());
factory.setExcludeCipherSuites();
}
if (ssl.getEnabledProtocols() != null) {
factory.setIncludeProtocols(ssl.getEnabledProtocols());
}
if (sslStoreProvider != null) {
try {
factory.setKeyStore(sslStoreProvider.getKeyStore());
factory.setTrustStore(sslStoreProvider.getTrustStore());
}
catch (Exception ex) {
throw new IllegalStateException("Unable to set SSL store", ex);
}
}
else {
configureSslKeyStore(factory, ssl);
configureSslTrustStore(factory, ssl);
}
}
|
java
|
protected void configureSsl(SslContextFactory factory, Ssl ssl,
SslStoreProvider sslStoreProvider) {
factory.setProtocol(ssl.getProtocol());
configureSslClientAuth(factory, ssl);
configureSslPasswords(factory, ssl);
factory.setCertAlias(ssl.getKeyAlias());
if (!ObjectUtils.isEmpty(ssl.getCiphers())) {
factory.setIncludeCipherSuites(ssl.getCiphers());
factory.setExcludeCipherSuites();
}
if (ssl.getEnabledProtocols() != null) {
factory.setIncludeProtocols(ssl.getEnabledProtocols());
}
if (sslStoreProvider != null) {
try {
factory.setKeyStore(sslStoreProvider.getKeyStore());
factory.setTrustStore(sslStoreProvider.getTrustStore());
}
catch (Exception ex) {
throw new IllegalStateException("Unable to set SSL store", ex);
}
}
else {
configureSslKeyStore(factory, ssl);
configureSslTrustStore(factory, ssl);
}
}
|
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Configure the SSL connection.
@param factory the Jetty {@link SslContextFactory}.
@param ssl the ssl details.
@param sslStoreProvider the ssl store provider
|
[
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] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/SslServerCustomizer.java#L141-L167
|
train
|
Configure the SSL.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java
|
NeuralNetworkParser.build_feature_space
|
void build_feature_space()
{
kFormInFeaturespace = 0;
kNilForm = forms_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd = forms_alphabet.size();
kPostagInFeaturespace = kFeatureSpaceEnd;
kNilPostag = kFeatureSpaceEnd + postags_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += postags_alphabet.size();
kDeprelInFeaturespace = kFeatureSpaceEnd;
kNilDeprel = kFeatureSpaceEnd + deprels_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += deprels_alphabet.size();
kDistanceInFeaturespace = kFeatureSpaceEnd;
kNilDistance = kFeatureSpaceEnd + (use_distance ? 8 : 0);
kFeatureSpaceEnd += (use_distance ? 9 : 0);
kValencyInFeaturespace = kFeatureSpaceEnd;
kNilValency = kFeatureSpaceEnd + (use_valency ? 8 : 0);
kFeatureSpaceEnd += (use_valency ? 9 : 0);
kCluster4InFeaturespace = kFeatureSpaceEnd;
if (use_cluster)
{
kNilCluster4 = kFeatureSpaceEnd + cluster4_types_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += cluster4_types_alphabet.size();
}
else
{
kNilCluster4 = kFeatureSpaceEnd;
}
kCluster6InFeaturespace = kFeatureSpaceEnd;
if (use_cluster)
{
kNilCluster6 = kFeatureSpaceEnd + cluster6_types_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += cluster6_types_alphabet.size();
}
else
{
kNilCluster6 = kFeatureSpaceEnd;
}
kClusterInFeaturespace = kFeatureSpaceEnd;
if (use_cluster)
{
kNilCluster = kFeatureSpaceEnd + cluster_types_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += cluster_types_alphabet.size();
}
else
{
kNilCluster = kFeatureSpaceEnd;
}
}
|
java
|
void build_feature_space()
{
kFormInFeaturespace = 0;
kNilForm = forms_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd = forms_alphabet.size();
kPostagInFeaturespace = kFeatureSpaceEnd;
kNilPostag = kFeatureSpaceEnd + postags_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += postags_alphabet.size();
kDeprelInFeaturespace = kFeatureSpaceEnd;
kNilDeprel = kFeatureSpaceEnd + deprels_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += deprels_alphabet.size();
kDistanceInFeaturespace = kFeatureSpaceEnd;
kNilDistance = kFeatureSpaceEnd + (use_distance ? 8 : 0);
kFeatureSpaceEnd += (use_distance ? 9 : 0);
kValencyInFeaturespace = kFeatureSpaceEnd;
kNilValency = kFeatureSpaceEnd + (use_valency ? 8 : 0);
kFeatureSpaceEnd += (use_valency ? 9 : 0);
kCluster4InFeaturespace = kFeatureSpaceEnd;
if (use_cluster)
{
kNilCluster4 = kFeatureSpaceEnd + cluster4_types_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += cluster4_types_alphabet.size();
}
else
{
kNilCluster4 = kFeatureSpaceEnd;
}
kCluster6InFeaturespace = kFeatureSpaceEnd;
if (use_cluster)
{
kNilCluster6 = kFeatureSpaceEnd + cluster6_types_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += cluster6_types_alphabet.size();
}
else
{
kNilCluster6 = kFeatureSpaceEnd;
}
kClusterInFeaturespace = kFeatureSpaceEnd;
if (use_cluster)
{
kNilCluster = kFeatureSpaceEnd + cluster_types_alphabet.idOf(SpecialOption.NIL);
kFeatureSpaceEnd += cluster_types_alphabet.size();
}
else
{
kNilCluster = kFeatureSpaceEnd;
}
}
|
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] |
初始化特征空间的长度等信息
|
[
"初始化特征空间的长度等信息"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java#L385-L440
|
train
|
Build the feature space.
|
[
30522,
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netty/netty
|
resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolver.java
|
DnsNameResolver.resolve
|
public final Future<InetAddress> resolve(String inetHost, Iterable<DnsRecord> additionals) {
return resolve(inetHost, additionals, executor().<InetAddress>newPromise());
}
|
java
|
public final Future<InetAddress> resolve(String inetHost, Iterable<DnsRecord> additionals) {
return resolve(inetHost, additionals, executor().<InetAddress>newPromise());
}
|
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Resolves the specified name into an address.
@param inetHost the name to resolve
@param additionals additional records ({@code OPT})
@return the address as the result of the resolution
|
[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolver.java#L637-L639
|
train
|
Resolve the given list of DNS records to an Inet4Address.
|
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apache/flink
|
flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java
|
ShardConsumer.deserializeRecordForCollectionAndUpdateState
|
private void deserializeRecordForCollectionAndUpdateState(UserRecord record)
throws IOException {
ByteBuffer recordData = record.getData();
byte[] dataBytes = new byte[recordData.remaining()];
recordData.get(dataBytes);
final long approxArrivalTimestamp = record.getApproximateArrivalTimestamp().getTime();
final T value = deserializer.deserialize(
dataBytes,
record.getPartitionKey(),
record.getSequenceNumber(),
approxArrivalTimestamp,
subscribedShard.getStreamName(),
subscribedShard.getShard().getShardId());
SequenceNumber collectedSequenceNumber = (record.isAggregated())
? new SequenceNumber(record.getSequenceNumber(), record.getSubSequenceNumber())
: new SequenceNumber(record.getSequenceNumber());
fetcherRef.emitRecordAndUpdateState(
value,
approxArrivalTimestamp,
subscribedShardStateIndex,
collectedSequenceNumber);
lastSequenceNum = collectedSequenceNumber;
}
|
java
|
private void deserializeRecordForCollectionAndUpdateState(UserRecord record)
throws IOException {
ByteBuffer recordData = record.getData();
byte[] dataBytes = new byte[recordData.remaining()];
recordData.get(dataBytes);
final long approxArrivalTimestamp = record.getApproximateArrivalTimestamp().getTime();
final T value = deserializer.deserialize(
dataBytes,
record.getPartitionKey(),
record.getSequenceNumber(),
approxArrivalTimestamp,
subscribedShard.getStreamName(),
subscribedShard.getShard().getShardId());
SequenceNumber collectedSequenceNumber = (record.isAggregated())
? new SequenceNumber(record.getSequenceNumber(), record.getSubSequenceNumber())
: new SequenceNumber(record.getSequenceNumber());
fetcherRef.emitRecordAndUpdateState(
value,
approxArrivalTimestamp,
subscribedShardStateIndex,
collectedSequenceNumber);
lastSequenceNum = collectedSequenceNumber;
}
|
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Deserializes a record for collection, and accordingly updates the shard state in the fetcher. The last
successfully collected sequence number in this shard consumer is also updated so that
{@link ShardConsumer#getRecords(String, int)} may be able to use the correct sequence number to refresh shard
iterators if necessary.
<p>Note that the server-side Kinesis timestamp is attached to the record when collected. When the
user programs uses {@link TimeCharacteristic#EventTime}, this timestamp will be used by default.
@param record record to deserialize and collect
@throws IOException
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java#L350-L378
|
train
|
Deserialize a user record for collection and update state.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.filter
|
public static <T> Collection<T> filter(Collection<T> collection, Filter<T> filter) {
if (null == collection || null == filter) {
return collection;
}
Collection<T> collection2 = ObjectUtil.clone(collection);
try {
collection2.clear();
} catch (UnsupportedOperationException e) {
// 克隆后的对象不支持清空,说明为不可变集合对象,使用默认的ArrayList保存结果
collection2 = new ArrayList<>();
}
for (T t : collection) {
if (filter.accept(t)) {
collection2.add(t);
}
}
return collection2;
}
|
java
|
public static <T> Collection<T> filter(Collection<T> collection, Filter<T> filter) {
if (null == collection || null == filter) {
return collection;
}
Collection<T> collection2 = ObjectUtil.clone(collection);
try {
collection2.clear();
} catch (UnsupportedOperationException e) {
// 克隆后的对象不支持清空,说明为不可变集合对象,使用默认的ArrayList保存结果
collection2 = new ArrayList<>();
}
for (T t : collection) {
if (filter.accept(t)) {
collection2.add(t);
}
}
return collection2;
}
|
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过滤<br>
过滤过程通过传入的Filter实现来过滤返回需要的元素内容,这个Filter实现可以实现以下功能:
<pre>
1、过滤出需要的对象,{@link Filter#accept(Object)}方法返回true的对象将被加入结果集合中
</pre>
@param <T> 集合元素类型
@param collection 集合
@param filter 过滤器
@return 过滤后的数组
@since 3.1.0
|
[
"过滤<br",
">",
"过滤过程通过传入的Filter实现来过滤返回需要的元素内容,这个Filter实现可以实现以下功能:"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L1004-L1023
|
train
|
Returns a new collection with all the items in the given collection that match the criteria specified in the given filter.
|
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apache/flink
|
flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/QueryableStateClient.java
|
QueryableStateClient.shutdownAndWait
|
public void shutdownAndWait() {
try {
client.shutdown().get();
LOG.info("The Queryable State Client was shutdown successfully.");
} catch (Exception e) {
LOG.warn("The Queryable State Client shutdown failed: ", e);
}
}
|
java
|
public void shutdownAndWait() {
try {
client.shutdown().get();
LOG.info("The Queryable State Client was shutdown successfully.");
} catch (Exception e) {
LOG.warn("The Queryable State Client shutdown failed: ", e);
}
}
|
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Shuts down the client and waits until shutdown is completed.
<p>If an exception is thrown, a warning is logged containing
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|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/QueryableStateClient.java#L160-L167
|
train
|
Shutdown the Queryable State Client and wait for it to complete.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/HpackDynamicTable.java
|
HpackDynamicTable.remove
|
public HpackHeaderField remove() {
HpackHeaderField removed = hpackHeaderFields[tail];
if (removed == null) {
return null;
}
size -= removed.size();
hpackHeaderFields[tail++] = null;
if (tail == hpackHeaderFields.length) {
tail = 0;
}
return removed;
}
|
java
|
public HpackHeaderField remove() {
HpackHeaderField removed = hpackHeaderFields[tail];
if (removed == null) {
return null;
}
size -= removed.size();
hpackHeaderFields[tail++] = null;
if (tail == hpackHeaderFields.length) {
tail = 0;
}
return removed;
}
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[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HpackDynamicTable.java#L121-L132
|
train
|
Removes the first instance of the HpackHeaderField from this array.
|
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30526
] |
alibaba/canal
|
client-adapter/common/src/main/java/com/alibaba/otter/canal/client/adapter/config/YmlConfigBinder.java
|
YmlConfigBinder.bindYmlToObj
|
public static <T> T bindYmlToObj(String prefix, String content, Class<T> clazz, String charset,
Properties baseProperties) {
try {
byte[] contentBytes;
if (charset == null) {
contentBytes = content.getBytes("UTF-8");
} else {
contentBytes = content.getBytes(charset);
}
YamlPropertySourceLoader propertySourceLoader = new YamlPropertySourceLoader();
Resource configResource = new ByteArrayResource(contentBytes);
PropertySource<?> propertySource = propertySourceLoader.load("manualBindConfig", configResource, null);
if (propertySource == null) {
return null;
}
Properties properties = new Properties();
Map<String, Object> propertiesRes = new LinkedHashMap<>();
if (!StringUtils.isEmpty(prefix) && !prefix.endsWith(".")) {
prefix = prefix + ".";
}
properties.putAll((Map<?, ?>) propertySource.getSource());
if (baseProperties != null) {
baseProperties.putAll(properties);
properties = baseProperties;
}
for (Map.Entry<?, ?> entry : ((Map<?, ?>) propertySource.getSource()).entrySet()) {
String key = (String) entry.getKey();
Object value = entry.getValue();
if (prefix != null) {
if (key != null && key.startsWith(prefix)) {
key = key.substring(prefix.length());
} else {
continue;
}
}
if (value instanceof String && ((String) value).contains("${") && ((String) value).contains("}")) {
PropertyPlaceholderHelper propertyPlaceholderHelper = new PropertyPlaceholderHelper("${", "}");
value = propertyPlaceholderHelper.replacePlaceholders((String) value, properties);
}
propertiesRes.put(key, value);
}
if (propertiesRes.isEmpty()) {
return null;
}
propertySource = new MapPropertySource(propertySource.getName(), propertiesRes);
T target = clazz.newInstance();
MutablePropertySources propertySources = new MutablePropertySources();
propertySources.addFirst(propertySource);
PropertiesConfigurationFactory<Object> factory = new PropertiesConfigurationFactory<Object>(target);
factory.setPropertySources(propertySources);
factory.setIgnoreInvalidFields(true);
factory.setIgnoreUnknownFields(true);
factory.bindPropertiesToTarget();
return target;
} catch (Exception e) {
throw new RuntimeException(e);
}
}
|
java
|
public static <T> T bindYmlToObj(String prefix, String content, Class<T> clazz, String charset,
Properties baseProperties) {
try {
byte[] contentBytes;
if (charset == null) {
contentBytes = content.getBytes("UTF-8");
} else {
contentBytes = content.getBytes(charset);
}
YamlPropertySourceLoader propertySourceLoader = new YamlPropertySourceLoader();
Resource configResource = new ByteArrayResource(contentBytes);
PropertySource<?> propertySource = propertySourceLoader.load("manualBindConfig", configResource, null);
if (propertySource == null) {
return null;
}
Properties properties = new Properties();
Map<String, Object> propertiesRes = new LinkedHashMap<>();
if (!StringUtils.isEmpty(prefix) && !prefix.endsWith(".")) {
prefix = prefix + ".";
}
properties.putAll((Map<?, ?>) propertySource.getSource());
if (baseProperties != null) {
baseProperties.putAll(properties);
properties = baseProperties;
}
for (Map.Entry<?, ?> entry : ((Map<?, ?>) propertySource.getSource()).entrySet()) {
String key = (String) entry.getKey();
Object value = entry.getValue();
if (prefix != null) {
if (key != null && key.startsWith(prefix)) {
key = key.substring(prefix.length());
} else {
continue;
}
}
if (value instanceof String && ((String) value).contains("${") && ((String) value).contains("}")) {
PropertyPlaceholderHelper propertyPlaceholderHelper = new PropertyPlaceholderHelper("${", "}");
value = propertyPlaceholderHelper.replacePlaceholders((String) value, properties);
}
propertiesRes.put(key, value);
}
if (propertiesRes.isEmpty()) {
return null;
}
propertySource = new MapPropertySource(propertySource.getName(), propertiesRes);
T target = clazz.newInstance();
MutablePropertySources propertySources = new MutablePropertySources();
propertySources.addFirst(propertySource);
PropertiesConfigurationFactory<Object> factory = new PropertiesConfigurationFactory<Object>(target);
factory.setPropertySources(propertySources);
factory.setIgnoreInvalidFields(true);
factory.setIgnoreUnknownFields(true);
factory.bindPropertiesToTarget();
return target;
} catch (Exception e) {
throw new RuntimeException(e);
}
}
|
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] |
将当前内容指定前缀部分绑定到指定对象并用环境变量中的属性替换占位符, 例: 当前内容有属性 zkServers: ${zookeeper.servers}
在envProperties中有属性 zookeeper.servers:
192.168.0.1:2181,192.168.0.1:2181,192.168.0.1:2181 则当前内容 zkServers 会被替换为
zkServers: 192.168.0.1:2181,192.168.0.1:2181,192.168.0.1:2181 注: 假设绑定的类中
zkServers 属性是 List<String> 对象, 则会自动映射成List
@param prefix 指定前缀
@param content yml内容
@param clazz 指定对象类型
@param charset yml内容编码格式
@return 对象
|
[
"将当前内容指定前缀部分绑定到指定对象并用环境变量中的属性替换占位符",
"例",
":",
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">",
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"则会自动映射成List"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/common/src/main/java/com/alibaba/otter/canal/client/adapter/config/YmlConfigBinder.java#L82-L154
|
train
|
Bind a yml string to an object.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/accumulators/AccumulatorHelper.java
|
AccumulatorHelper.mergeSingle
|
private static <V, R extends Serializable> Accumulator<V, R> mergeSingle(Accumulator<?, ?> target,
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@SuppressWarnings("unchecked")
Accumulator<V, R> typedTarget = (Accumulator<V, R>) target;
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Accumulator<V, R> typedToMerge = (Accumulator<V, R>) toMerge;
typedTarget.merge(typedToMerge);
return typedTarget;
}
|
java
|
private static <V, R extends Serializable> Accumulator<V, R> mergeSingle(Accumulator<?, ?> target,
Accumulator<?, ?> toMerge) {
@SuppressWarnings("unchecked")
Accumulator<V, R> typedTarget = (Accumulator<V, R>) target;
@SuppressWarnings("unchecked")
Accumulator<V, R> typedToMerge = (Accumulator<V, R>) toMerge;
typedTarget.merge(typedToMerge);
return typedTarget;
}
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Workaround method for type safety.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/accumulators/AccumulatorHelper.java#L83-L94
|
train
|
Merge two accumulator instances into one.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/HttpUtil.java
|
HttpUtil.urlWithForm
|
public static String urlWithForm(String url, String queryString, Charset charset, boolean isEncode) {
if (StrUtil.isBlank(queryString)) {
// 无额外参数
if (StrUtil.contains(url, '?')) {
// url中包含参数
return isEncode ? encodeParams(url, charset) : url;
}
return url;
}
// 始终有参数
final StrBuilder urlBuilder = StrBuilder.create(url.length() + queryString.length() + 16);
int qmIndex = url.indexOf('?');
if (qmIndex > 0) {
// 原URL带参数,则对这部分参数单独编码(如果选项为进行编码)
urlBuilder.append(isEncode ? encodeParams(url, charset) : url);
if (false == StrUtil.endWith(url, '&')) {
// 已经带参数的情况下追加参数
urlBuilder.append('&');
}
} else {
// 原url无参数,则不做编码
urlBuilder.append(url);
if (qmIndex < 0) {
// 无 '?' 追加之
urlBuilder.append('?');
}
}
urlBuilder.append(isEncode ? encodeParams(queryString, charset) : queryString);
return urlBuilder.toString();
}
|
java
|
public static String urlWithForm(String url, String queryString, Charset charset, boolean isEncode) {
if (StrUtil.isBlank(queryString)) {
// 无额外参数
if (StrUtil.contains(url, '?')) {
// url中包含参数
return isEncode ? encodeParams(url, charset) : url;
}
return url;
}
// 始终有参数
final StrBuilder urlBuilder = StrBuilder.create(url.length() + queryString.length() + 16);
int qmIndex = url.indexOf('?');
if (qmIndex > 0) {
// 原URL带参数,则对这部分参数单独编码(如果选项为进行编码)
urlBuilder.append(isEncode ? encodeParams(url, charset) : url);
if (false == StrUtil.endWith(url, '&')) {
// 已经带参数的情况下追加参数
urlBuilder.append('&');
}
} else {
// 原url无参数,则不做编码
urlBuilder.append(url);
if (qmIndex < 0) {
// 无 '?' 追加之
urlBuilder.append('?');
}
}
urlBuilder.append(isEncode ? encodeParams(queryString, charset) : queryString);
return urlBuilder.toString();
}
|
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] |
将表单数据字符串加到URL中(用于GET表单提交)
@param url URL
@param queryString 表单数据字符串
@param charset 编码
@param isEncode 是否对键和值做转义处理
@return 拼接后的字符串
|
[
"将表单数据字符串加到URL中(用于GET表单提交)"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpUtil.java#L623-L653
|
train
|
Returns a URL with the specified query string and encoding.
|
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networknt/light-4j
|
handler/src/main/java/com/networknt/handler/Handler.java
|
Handler.setConfig
|
static void setConfig(String configName) throws Exception {
Handler.configName = configName;
config = (HandlerConfig) Config.getInstance().getJsonObjectConfig(configName, HandlerConfig.class);
initHandlers();
initPaths();
}
|
java
|
static void setConfig(String configName) throws Exception {
Handler.configName = configName;
config = (HandlerConfig) Config.getInstance().getJsonObjectConfig(configName, HandlerConfig.class);
initHandlers();
initPaths();
}
|
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[
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/handler/src/main/java/com/networknt/handler/Handler.java#L514-L519
|
train
|
Sets the config name.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dependency/nnparser/Matrix.java
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Matrix.getMatrix
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public Matrix getMatrix(int[] r, int[] c)
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Matrix X = new Matrix(r.length, c.length);
double[][] B = X.getArray();
try
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for (int i = 0; i < r.length; i++)
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catch (ArrayIndexOutOfBoundsException e)
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throw new ArrayIndexOutOfBoundsException("Submatrix indices");
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return X;
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|
java
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public Matrix getMatrix(int[] r, int[] c)
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Matrix X = new Matrix(r.length, c.length);
double[][] B = X.getArray();
try
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for (int i = 0; i < r.length; i++)
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for (int j = 0; j < c.length; j++)
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B[i][j] = A[r[i]][c[j]];
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}
}
catch (ArrayIndexOutOfBoundsException e)
{
throw new ArrayIndexOutOfBoundsException("Submatrix indices");
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return X;
}
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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/nnparser/Matrix.java#L392-L411
|
train
|
Get a matrix of the 2D matrix.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java
|
Trie.hasKeyword
|
public boolean hasKeyword(String text)
{
checkForConstructedFailureStates();
State currentState = this.rootState;
for (int i = 0; i < text.length(); ++i)
{
State nextState = getState(currentState, text.charAt(i));
if (nextState != null && nextState != currentState && nextState.emit().size() != 0) {
return true;
}
currentState = nextState;
}
return false;
}
|
java
|
public boolean hasKeyword(String text)
{
checkForConstructedFailureStates();
State currentState = this.rootState;
for (int i = 0; i < text.length(); ++i)
{
State nextState = getState(currentState, text.charAt(i));
if (nextState != null && nextState != currentState && nextState.emit().size() != 0) {
return true;
}
currentState = nextState;
}
return false;
}
|
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] |
文本是否包含任何模式
@param text 待匹配的文本
@return 文本包含模式時回傳true
|
[
"文本是否包含任何模式"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java#L319-L333
|
train
|
Checks if a text contains a keyword.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/operators/BatchTask.java
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BatchTask.openChainedTasks
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public static void openChainedTasks(List<ChainedDriver<?, ?>> tasks, AbstractInvokable parent) throws Exception {
// start all chained tasks
for (int i = 0; i < tasks.size(); i++) {
final ChainedDriver<?, ?> task = tasks.get(i);
if (LOG.isDebugEnabled()) {
LOG.debug(constructLogString("Start task code", task.getTaskName(), parent));
}
task.openTask();
}
}
|
java
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public static void openChainedTasks(List<ChainedDriver<?, ?>> tasks, AbstractInvokable parent) throws Exception {
// start all chained tasks
for (int i = 0; i < tasks.size(); i++) {
final ChainedDriver<?, ?> task = tasks.get(i);
if (LOG.isDebugEnabled()) {
LOG.debug(constructLogString("Start task code", task.getTaskName(), parent));
}
task.openTask();
}
}
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@param parent The parent task, used to obtain parameters to include in the log message.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/BatchTask.java#L1384-L1393
|
train
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Open all chained tasks.
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/HttpUtil.java
|
HttpUtil.post
|
public static String post(String urlString, Map<String, Object> paramMap) {
return post(urlString, paramMap, HttpRequest.TIMEOUT_DEFAULT);
}
|
java
|
public static String post(String urlString, Map<String, Object> paramMap) {
return post(urlString, paramMap, HttpRequest.TIMEOUT_DEFAULT);
}
|
[
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发送post请求
@param urlString 网址
@param paramMap post表单数据
@return 返回数据
|
[
"发送post请求"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpUtil.java#L153-L155
|
train
|
Perform a HTTP POST request with the given parameters.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/util/ReusingKeyGroupedIterator.java
|
ReusingKeyGroupedIterator.nextKey
|
@Override
public boolean nextKey() throws IOException
{
// first element (or empty)
if (this.current == null) {
if (this.done) {
this.valuesIterator = null;
return false;
}
this.current = this.reuse;
if ((this.current = this.iterator.next(this.current)) != null) {
this.comparator.setReference(this.current);
this.lookAheadHasNext = false;
this.valuesIterator = new ValuesIterator();
this.valuesIterator.currentIsUnconsumed = true;
return true;
} else {
// empty input, set everything null
this.valuesIterator = null;
this.current = null;
this.done = true;
return false;
}
}
this.valuesIterator.iteratorAvailable = true;
// Whole value-iterator was read and a new key is available.
if (this.lookAheadHasNext) {
this.lookAheadHasNext = false;
this.current = this.lookahead;
this.lookahead = null;
this.comparator.setReference(this.current);
this.valuesIterator.currentIsUnconsumed = true;
return true;
}
// try to move to next key.
// Required if user code / reduce() method did not read the whole value iterator.
while (true) {
if (!this.done && ((this.current = this.iterator.next(this.current)) != null)) {
if (!this.comparator.equalToReference(this.current)) {
// the keys do not match, so we have a new group. store the current keys
this.comparator.setReference(this.current);
this.lookAheadHasNext = false;
this.valuesIterator.currentIsUnconsumed = true;
return true;
}
}
else {
this.valuesIterator = null;
this.current = null;
this.done = true;
return false;
}
}
}
|
java
|
@Override
public boolean nextKey() throws IOException
{
// first element (or empty)
if (this.current == null) {
if (this.done) {
this.valuesIterator = null;
return false;
}
this.current = this.reuse;
if ((this.current = this.iterator.next(this.current)) != null) {
this.comparator.setReference(this.current);
this.lookAheadHasNext = false;
this.valuesIterator = new ValuesIterator();
this.valuesIterator.currentIsUnconsumed = true;
return true;
} else {
// empty input, set everything null
this.valuesIterator = null;
this.current = null;
this.done = true;
return false;
}
}
this.valuesIterator.iteratorAvailable = true;
// Whole value-iterator was read and a new key is available.
if (this.lookAheadHasNext) {
this.lookAheadHasNext = false;
this.current = this.lookahead;
this.lookahead = null;
this.comparator.setReference(this.current);
this.valuesIterator.currentIsUnconsumed = true;
return true;
}
// try to move to next key.
// Required if user code / reduce() method did not read the whole value iterator.
while (true) {
if (!this.done && ((this.current = this.iterator.next(this.current)) != null)) {
if (!this.comparator.equalToReference(this.current)) {
// the keys do not match, so we have a new group. store the current keys
this.comparator.setReference(this.current);
this.lookAheadHasNext = false;
this.valuesIterator.currentIsUnconsumed = true;
return true;
}
}
else {
this.valuesIterator = null;
this.current = null;
this.done = true;
return false;
}
}
}
|
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] |
Moves the iterator to the next key. This method may skip any values that have not yet been returned by the
iterator created by the {@link #getValues()} method. Hence, if called multiple times it "removes" pairs.
@return true if the input iterator has an other group of key-value pairs that share the same key.
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ReusingKeyGroupedIterator.java#L81-L137
|
train
|
This method returns true if the next key is available.
|
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apache/flink
|
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStream.java
|
PatternStream.flatSelect
|
public <R> SingleOutputStreamOperator<R> flatSelect(final PatternFlatSelectFunction<T, R> patternFlatSelectFunction) {
// we have to extract the output type from the provided pattern selection function manually
// because the TypeExtractor cannot do that if the method is wrapped in a MapFunction
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builder.getInputType(),
null,
false);
return flatSelect(patternFlatSelectFunction, outTypeInfo);
}
|
java
|
public <R> SingleOutputStreamOperator<R> flatSelect(final PatternFlatSelectFunction<T, R> patternFlatSelectFunction) {
// we have to extract the output type from the provided pattern selection function manually
// because the TypeExtractor cannot do that if the method is wrapped in a MapFunction
final TypeInformation<R> outTypeInfo = TypeExtractor.getUnaryOperatorReturnType(
patternFlatSelectFunction,
PatternFlatSelectFunction.class,
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1,
new int[]{1, 0},
builder.getInputType(),
null,
false);
return flatSelect(patternFlatSelectFunction, outTypeInfo);
}
|
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Applies a flat select function to the detected pattern sequence. For each pattern sequence
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@param patternFlatSelectFunction The pattern flat select function which is called for each
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@param <R> Type of the resulting elements
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStream.java#L329-L344
|
train
|
Flat select the output of a pattern selection function.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/seg/Segment.java
|
Segment.mergeNumberQuantifier
|
protected void mergeNumberQuantifier(List<Vertex> termList, WordNet wordNetAll, Config config)
{
if (termList.size() < 4) return;
StringBuilder sbQuantifier = new StringBuilder();
ListIterator<Vertex> iterator = termList.listIterator();
iterator.next();
int line = 1;
while (iterator.hasNext())
{
Vertex pre = iterator.next();
if (pre.hasNature(Nature.m))
{
sbQuantifier.append(pre.realWord);
Vertex cur = null;
while (iterator.hasNext() && (cur = iterator.next()).hasNature(Nature.m))
{
sbQuantifier.append(cur.realWord);
iterator.remove();
removeFromWordNet(cur, wordNetAll, line, sbQuantifier.length());
}
if (cur != null)
{
if ((cur.hasNature(Nature.q) || cur.hasNature(Nature.qv) || cur.hasNature(Nature.qt)))
{
if (config.indexMode > 0)
{
wordNetAll.add(line, new Vertex(sbQuantifier.toString(), new CoreDictionary.Attribute(Nature.m)));
}
sbQuantifier.append(cur.realWord);
iterator.remove();
removeFromWordNet(cur, wordNetAll, line, sbQuantifier.length());
}
else
{
line += cur.realWord.length(); // (cur = iterator.next()).hasNature(Nature.m) 最后一个next可能不含q词性
}
}
if (sbQuantifier.length() != pre.realWord.length())
{
for (Vertex vertex : wordNetAll.get(line + pre.realWord.length()))
{
vertex.from = null;
}
pre.realWord = sbQuantifier.toString();
pre.word = Predefine.TAG_NUMBER;
pre.attribute = new CoreDictionary.Attribute(Nature.mq);
pre.wordID = CoreDictionary.M_WORD_ID;
sbQuantifier.setLength(0);
}
}
sbQuantifier.setLength(0);
line += pre.realWord.length();
}
// System.out.println(wordNetAll);
}
|
java
|
protected void mergeNumberQuantifier(List<Vertex> termList, WordNet wordNetAll, Config config)
{
if (termList.size() < 4) return;
StringBuilder sbQuantifier = new StringBuilder();
ListIterator<Vertex> iterator = termList.listIterator();
iterator.next();
int line = 1;
while (iterator.hasNext())
{
Vertex pre = iterator.next();
if (pre.hasNature(Nature.m))
{
sbQuantifier.append(pre.realWord);
Vertex cur = null;
while (iterator.hasNext() && (cur = iterator.next()).hasNature(Nature.m))
{
sbQuantifier.append(cur.realWord);
iterator.remove();
removeFromWordNet(cur, wordNetAll, line, sbQuantifier.length());
}
if (cur != null)
{
if ((cur.hasNature(Nature.q) || cur.hasNature(Nature.qv) || cur.hasNature(Nature.qt)))
{
if (config.indexMode > 0)
{
wordNetAll.add(line, new Vertex(sbQuantifier.toString(), new CoreDictionary.Attribute(Nature.m)));
}
sbQuantifier.append(cur.realWord);
iterator.remove();
removeFromWordNet(cur, wordNetAll, line, sbQuantifier.length());
}
else
{
line += cur.realWord.length(); // (cur = iterator.next()).hasNature(Nature.m) 最后一个next可能不含q词性
}
}
if (sbQuantifier.length() != pre.realWord.length())
{
for (Vertex vertex : wordNetAll.get(line + pre.realWord.length()))
{
vertex.from = null;
}
pre.realWord = sbQuantifier.toString();
pre.word = Predefine.TAG_NUMBER;
pre.attribute = new CoreDictionary.Attribute(Nature.mq);
pre.wordID = CoreDictionary.M_WORD_ID;
sbQuantifier.setLength(0);
}
}
sbQuantifier.setLength(0);
line += pre.realWord.length();
}
// System.out.println(wordNetAll);
}
|
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"}"
] |
合并数字
@param termList
|
[
"合并数字"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/seg/Segment.java#L405-L459
|
train
|
Merge number quantifier.
|
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looly/hutool
|
hutool-script/src/main/java/cn/hutool/script/ScriptUtil.java
|
ScriptUtil.eval
|
public static Object eval(String script, ScriptContext context) throws ScriptRuntimeException {
try {
return compile(script).eval(context);
} catch (ScriptException e) {
throw new ScriptRuntimeException(e);
}
}
|
java
|
public static Object eval(String script, ScriptContext context) throws ScriptRuntimeException {
try {
return compile(script).eval(context);
} catch (ScriptException e) {
throw new ScriptRuntimeException(e);
}
}
|
[
"public",
"static",
"Object",
"eval",
"(",
"String",
"script",
",",
"ScriptContext",
"context",
")",
"throws",
"ScriptRuntimeException",
"{",
"try",
"{",
"return",
"compile",
"(",
"script",
")",
".",
"eval",
"(",
"context",
")",
";",
"}",
"catch",
"(",
"ScriptException",
"e",
")",
"{",
"throw",
"new",
"ScriptRuntimeException",
"(",
"e",
")",
";",
"}",
"}"
] |
编译脚本
@param script 脚本内容
@param context 脚本上下文
@return {@link CompiledScript}
@throws ScriptRuntimeException 脚本异常
@since 3.2.0
|
[
"编译脚本"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-script/src/main/java/cn/hutool/script/ScriptUtil.java#L63-L69
|
train
|
Evaluates a script in the given context.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java
|
TaskSlotTable.markSlotActive
|
public boolean markSlotActive(AllocationID allocationId) throws SlotNotFoundException {
checkInit();
TaskSlot taskSlot = getTaskSlot(allocationId);
if (taskSlot != null) {
if (taskSlot.markActive()) {
// unregister a potential timeout
LOG.info("Activate slot {}.", allocationId);
timerService.unregisterTimeout(allocationId);
return true;
} else {
return false;
}
} else {
throw new SlotNotFoundException(allocationId);
}
}
|
java
|
public boolean markSlotActive(AllocationID allocationId) throws SlotNotFoundException {
checkInit();
TaskSlot taskSlot = getTaskSlot(allocationId);
if (taskSlot != null) {
if (taskSlot.markActive()) {
// unregister a potential timeout
LOG.info("Activate slot {}.", allocationId);
timerService.unregisterTimeout(allocationId);
return true;
} else {
return false;
}
} else {
throw new SlotNotFoundException(allocationId);
}
}
|
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Marks the slot under the given allocation id as active. If the slot could not be found, then
a {@link SlotNotFoundException} is thrown.
@param allocationId to identify the task slot to mark as active
@throws SlotNotFoundException if the slot could not be found for the given allocation id
@return True if the slot could be marked active; otherwise false
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java#L229-L248
|
train
|
Mark the slot active.
|
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30526
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apache/flink
|
flink-runtime-web/src/main/java/org/apache/flink/runtime/webmonitor/handlers/utils/JarHandlerUtils.java
|
JarHandlerUtils.tokenizeArguments
|
@VisibleForTesting
static List<String> tokenizeArguments(@Nullable final String args) {
if (args == null) {
return Collections.emptyList();
}
final Matcher matcher = ARGUMENTS_TOKENIZE_PATTERN.matcher(args);
final List<String> tokens = new ArrayList<>();
while (matcher.find()) {
tokens.add(matcher.group()
.trim()
.replace("\"", "")
.replace("\'", ""));
}
return tokens;
}
|
java
|
@VisibleForTesting
static List<String> tokenizeArguments(@Nullable final String args) {
if (args == null) {
return Collections.emptyList();
}
final Matcher matcher = ARGUMENTS_TOKENIZE_PATTERN.matcher(args);
final List<String> tokens = new ArrayList<>();
while (matcher.find()) {
tokens.add(matcher.group()
.trim()
.replace("\"", "")
.replace("\'", ""));
}
return tokens;
}
|
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Takes program arguments as a single string, and splits them into a list of string.
<pre>
tokenizeArguments("--foo bar") = ["--foo" "bar"]
tokenizeArguments("--foo \"bar baz\"") = ["--foo" "bar baz"]
tokenizeArguments("--foo 'bar baz'") = ["--foo" "bar baz"]
tokenizeArguments(null) = []
</pre>
<strong>WARNING: </strong>This method does not respect escaped quotes.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime-web/src/main/java/org/apache/flink/runtime/webmonitor/handlers/utils/JarHandlerUtils.java#L176-L190
|
train
|
Tokenize arguments.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/HttpUtil.java
|
HttpUtil.createRequest
|
public static HttpRequest createRequest(Method method, String url) {
return new HttpRequest(url).method(method);
}
|
java
|
public static HttpRequest createRequest(Method method, String url) {
return new HttpRequest(url).method(method);
}
|
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创建Http请求对象
@param method 方法枚举{@link Method}
@param url 请求的URL,可以使HTTP或者HTTPS
@return {@link HttpRequest}
@since 3.0.9
|
[
"创建Http请求对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpUtil.java#L63-L65
|
train
|
Creates an HttpRequest with the given method and URL.
|
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30526
] |
netty/netty
|
transport-native-epoll/src/main/java/io/netty/channel/epoll/NativeDatagramPacketArray.java
|
NativeDatagramPacketArray.add
|
boolean add(DatagramPacket packet) {
if (count == packets.length) {
// We already filled up to UIO_MAX_IOV messages. This is the max allowed per sendmmsg(...) call, we will
// try again later.
return false;
}
ByteBuf content = packet.content();
int len = content.readableBytes();
if (len == 0) {
return true;
}
NativeDatagramPacket p = packets[count];
InetSocketAddress recipient = packet.recipient();
int offset = iovArray.count();
if (!iovArray.add(content)) {
// Not enough space to hold the whole content, we will try again later.
return false;
}
p.init(iovArray.memoryAddress(offset), iovArray.count() - offset, recipient);
count++;
return true;
}
|
java
|
boolean add(DatagramPacket packet) {
if (count == packets.length) {
// We already filled up to UIO_MAX_IOV messages. This is the max allowed per sendmmsg(...) call, we will
// try again later.
return false;
}
ByteBuf content = packet.content();
int len = content.readableBytes();
if (len == 0) {
return true;
}
NativeDatagramPacket p = packets[count];
InetSocketAddress recipient = packet.recipient();
int offset = iovArray.count();
if (!iovArray.add(content)) {
// Not enough space to hold the whole content, we will try again later.
return false;
}
p.init(iovArray.memoryAddress(offset), iovArray.count() - offset, recipient);
count++;
return true;
}
|
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Try to add the given {@link DatagramPacket}. Returns {@code true} on success,
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|
[
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"{"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport-native-epoll/src/main/java/io/netty/channel/epoll/NativeDatagramPacketArray.java#L52-L75
|
train
|
Add a new packet to the end of the list.
|
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] |
netty/netty
|
codec-socks/src/main/java/io/netty/handler/codec/socksx/v4/Socks4ServerDecoder.java
|
Socks4ServerDecoder.readString
|
private static String readString(String fieldName, ByteBuf in) {
int length = in.bytesBefore(MAX_FIELD_LENGTH + 1, (byte) 0);
if (length < 0) {
throw new DecoderException("field '" + fieldName + "' longer than " + MAX_FIELD_LENGTH + " chars");
}
String value = in.readSlice(length).toString(CharsetUtil.US_ASCII);
in.skipBytes(1); // Skip the NUL.
return value;
}
|
java
|
private static String readString(String fieldName, ByteBuf in) {
int length = in.bytesBefore(MAX_FIELD_LENGTH + 1, (byte) 0);
if (length < 0) {
throw new DecoderException("field '" + fieldName + "' longer than " + MAX_FIELD_LENGTH + " chars");
}
String value = in.readSlice(length).toString(CharsetUtil.US_ASCII);
in.skipBytes(1); // Skip the NUL.
return value;
}
|
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] |
Reads a variable-length NUL-terminated string as defined in SOCKS4.
|
[
"Reads",
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"-",
"length",
"NUL",
"-",
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"in",
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"."
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-socks/src/main/java/io/netty/handler/codec/socksx/v4/Socks4ServerDecoder.java#L122-L132
|
train
|
Read a string from the buffer.
|
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30526
] |
apache/flink
|
flink-optimizer/src/main/java/org/apache/flink/optimizer/dataproperties/RequestedGlobalProperties.java
|
RequestedGlobalProperties.filterBySemanticProperties
|
public RequestedGlobalProperties filterBySemanticProperties(SemanticProperties props, int input) {
// no semantic properties available. All global properties are filtered.
if (props == null) {
throw new NullPointerException("SemanticProperties may not be null.");
}
RequestedGlobalProperties rgProp = new RequestedGlobalProperties();
switch(this.partitioning) {
case FULL_REPLICATION:
case FORCED_REBALANCED:
case CUSTOM_PARTITIONING:
case RANDOM_PARTITIONED:
case ANY_DISTRIBUTION:
// make sure that certain properties are not pushed down
return null;
case HASH_PARTITIONED:
case ANY_PARTITIONING:
FieldSet newFields;
if(this.partitioningFields instanceof FieldList) {
newFields = new FieldList();
} else {
newFields = new FieldSet();
}
for (Integer targetField : this.partitioningFields) {
int sourceField = props.getForwardingSourceField(input, targetField);
if (sourceField >= 0) {
newFields = newFields.addField(sourceField);
} else {
// partial partitionings are not preserved to avoid skewed partitioning
return null;
}
}
rgProp.partitioning = this.partitioning;
rgProp.partitioningFields = newFields;
return rgProp;
case RANGE_PARTITIONED:
// range partitioning
Ordering newOrdering = new Ordering();
for (int i = 0; i < this.ordering.getInvolvedIndexes().size(); i++) {
int value = this.ordering.getInvolvedIndexes().get(i);
int sourceField = props.getForwardingSourceField(input, value);
if (sourceField >= 0) {
newOrdering.appendOrdering(sourceField, this.ordering.getType(i), this.ordering.getOrder(i));
} else {
return null;
}
}
rgProp.partitioning = this.partitioning;
rgProp.ordering = newOrdering;
rgProp.dataDistribution = this.dataDistribution;
return rgProp;
default:
throw new RuntimeException("Unknown partitioning type encountered.");
}
}
|
java
|
public RequestedGlobalProperties filterBySemanticProperties(SemanticProperties props, int input) {
// no semantic properties available. All global properties are filtered.
if (props == null) {
throw new NullPointerException("SemanticProperties may not be null.");
}
RequestedGlobalProperties rgProp = new RequestedGlobalProperties();
switch(this.partitioning) {
case FULL_REPLICATION:
case FORCED_REBALANCED:
case CUSTOM_PARTITIONING:
case RANDOM_PARTITIONED:
case ANY_DISTRIBUTION:
// make sure that certain properties are not pushed down
return null;
case HASH_PARTITIONED:
case ANY_PARTITIONING:
FieldSet newFields;
if(this.partitioningFields instanceof FieldList) {
newFields = new FieldList();
} else {
newFields = new FieldSet();
}
for (Integer targetField : this.partitioningFields) {
int sourceField = props.getForwardingSourceField(input, targetField);
if (sourceField >= 0) {
newFields = newFields.addField(sourceField);
} else {
// partial partitionings are not preserved to avoid skewed partitioning
return null;
}
}
rgProp.partitioning = this.partitioning;
rgProp.partitioningFields = newFields;
return rgProp;
case RANGE_PARTITIONED:
// range partitioning
Ordering newOrdering = new Ordering();
for (int i = 0; i < this.ordering.getInvolvedIndexes().size(); i++) {
int value = this.ordering.getInvolvedIndexes().get(i);
int sourceField = props.getForwardingSourceField(input, value);
if (sourceField >= 0) {
newOrdering.appendOrdering(sourceField, this.ordering.getType(i), this.ordering.getOrder(i));
} else {
return null;
}
}
rgProp.partitioning = this.partitioning;
rgProp.ordering = newOrdering;
rgProp.dataDistribution = this.dataDistribution;
return rgProp;
default:
throw new RuntimeException("Unknown partitioning type encountered.");
}
}
|
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Filters these properties by what can be preserved by the given SemanticProperties when propagated down
to the given input.
@param props The SemanticProperties which define which fields are preserved.
@param input The index of the operator's input.
@return The filtered RequestedGlobalProperties
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dataproperties/RequestedGlobalProperties.java#L236-L292
|
train
|
Filters the requested global properties by semantic properties.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java
|
ReUtil.findAllGroup0
|
public static List<String> findAllGroup0(String regex, CharSequence content) {
return findAll(regex, content, 0);
}
|
java
|
public static List<String> findAllGroup0(String regex, CharSequence content) {
return findAll(regex, content, 0);
}
|
[
"public",
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"List",
"<",
"String",
">",
"findAllGroup0",
"(",
"String",
"regex",
",",
"CharSequence",
"content",
")",
"{",
"return",
"findAll",
"(",
"regex",
",",
"content",
",",
"0",
")",
";",
"}"
] |
取得内容中匹配的所有结果,获得匹配的所有结果中正则对应分组0的内容
@param regex 正则
@param content 被查找的内容
@return 结果列表
@since 3.1.2
|
[
"取得内容中匹配的所有结果,获得匹配的所有结果中正则对应分组0的内容"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java#L363-L365
|
train
|
Finds all groups of the given regex in the given content.
|
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] |
apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/cache/DistributedCache.java
|
DistributedCache.writeFileInfoToConfig
|
public static void writeFileInfoToConfig(String name, DistributedCacheEntry e, Configuration conf) {
int num = conf.getInteger(CACHE_FILE_NUM, 0) + 1;
conf.setInteger(CACHE_FILE_NUM, num);
conf.setString(CACHE_FILE_NAME + num, name);
conf.setString(CACHE_FILE_PATH + num, e.filePath);
conf.setBoolean(CACHE_FILE_EXE + num, e.isExecutable || new File(e.filePath).canExecute());
conf.setBoolean(CACHE_FILE_DIR + num, e.isZipped || new File(e.filePath).isDirectory());
if (e.blobKey != null) {
conf.setBytes(CACHE_FILE_BLOB_KEY + num, e.blobKey);
}
}
|
java
|
public static void writeFileInfoToConfig(String name, DistributedCacheEntry e, Configuration conf) {
int num = conf.getInteger(CACHE_FILE_NUM, 0) + 1;
conf.setInteger(CACHE_FILE_NUM, num);
conf.setString(CACHE_FILE_NAME + num, name);
conf.setString(CACHE_FILE_PATH + num, e.filePath);
conf.setBoolean(CACHE_FILE_EXE + num, e.isExecutable || new File(e.filePath).canExecute());
conf.setBoolean(CACHE_FILE_DIR + num, e.isZipped || new File(e.filePath).isDirectory());
if (e.blobKey != null) {
conf.setBytes(CACHE_FILE_BLOB_KEY + num, e.blobKey);
}
}
|
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] |
------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/cache/DistributedCache.java#L132-L142
|
train
|
Write the file info to the configuration.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/AbstractHeapPriorityQueue.java
|
AbstractHeapPriorityQueue.clear
|
public void clear() {
final int arrayOffset = getHeadElementIndex();
Arrays.fill(queue, arrayOffset, arrayOffset + size, null);
size = 0;
}
|
java
|
public void clear() {
final int arrayOffset = getHeadElementIndex();
Arrays.fill(queue, arrayOffset, arrayOffset + size, null);
size = 0;
}
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Clears the queue.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/AbstractHeapPriorityQueue.java#L138-L142
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train
|
Clear the queue.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/operators/base/GroupReduceOperatorBase.java
|
GroupReduceOperatorBase.setCombinable
|
public void setCombinable(boolean combinable) {
// sanity check
if (combinable && !GroupCombineFunction.class.isAssignableFrom(this.userFunction.getUserCodeClass())) {
throw new IllegalArgumentException("Cannot set a UDF as combinable if it does not implement the interface " +
GroupCombineFunction.class.getName());
} else {
this.combinable = combinable;
}
}
|
java
|
public void setCombinable(boolean combinable) {
// sanity check
if (combinable && !GroupCombineFunction.class.isAssignableFrom(this.userFunction.getUserCodeClass())) {
throw new IllegalArgumentException("Cannot set a UDF as combinable if it does not implement the interface " +
GroupCombineFunction.class.getName());
} else {
this.combinable = combinable;
}
}
|
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@param combinable Flag to mark the group reduce operation as combinable.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/base/GroupReduceOperatorBase.java#L117-L125
|
train
|
Sets the combinable flag.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java
|
ReflectUtil.isEqualsMethod
|
public static boolean isEqualsMethod(Method method) {
if (method == null || false == method.getName().equals("equals")) {
return false;
}
final Class<?>[] paramTypes = method.getParameterTypes();
return (1 == paramTypes.length && paramTypes[0] == Object.class);
}
|
java
|
public static boolean isEqualsMethod(Method method) {
if (method == null || false == method.getName().equals("equals")) {
return false;
}
final Class<?>[] paramTypes = method.getParameterTypes();
return (1 == paramTypes.length && paramTypes[0] == Object.class);
}
|
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是否为equals方法
@param method 方法
@return 是否为equals方法
|
[
"是否为equals方法"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L614-L620
|
train
|
Checks if the given method is equals.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/recognition/ns/PlaceRecognition.java
|
PlaceRecognition.viterbiCompute
|
public static List<NS> viterbiCompute(List<EnumItem<NS>> roleTagList)
{
return Viterbi.computeEnum(roleTagList, PlaceDictionary.transformMatrixDictionary);
}
|
java
|
public static List<NS> viterbiCompute(List<EnumItem<NS>> roleTagList)
{
return Viterbi.computeEnum(roleTagList, PlaceDictionary.transformMatrixDictionary);
}
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维特比算法求解最优标签
@param roleTagList
@return
|
[
"维特比算法求解最优标签"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/recognition/ns/PlaceRecognition.java#L125-L128
|
train
|
Compute the Viterbi role tag list.
|
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/dictionary/TMDictionaryMaker.java
|
TMDictionaryMaker.addPair
|
public void addPair(String first, String second)
{
Map<String, Integer> firstMatrix = transferMatrix.get(first);
if (firstMatrix == null)
{
firstMatrix = new TreeMap<String, Integer>();
transferMatrix.put(first, firstMatrix);
}
Integer frequency = firstMatrix.get(second);
if (frequency == null) frequency = 0;
firstMatrix.put(second, frequency + 1);
}
|
java
|
public void addPair(String first, String second)
{
Map<String, Integer> firstMatrix = transferMatrix.get(first);
if (firstMatrix == null)
{
firstMatrix = new TreeMap<String, Integer>();
transferMatrix.put(first, firstMatrix);
}
Integer frequency = firstMatrix.get(second);
if (frequency == null) frequency = 0;
firstMatrix.put(second, frequency + 1);
}
|
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添加一个转移例子,会在内部完成统计
@param first
@param second
|
[
"添加一个转移例子,会在内部完成统计"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/dictionary/TMDictionaryMaker.java#L43-L54
|
train
|
Add a pair of a single class to the sequence.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/support/ui/ExpectedConditions.java
|
ExpectedConditions.urlContains
|
public static ExpectedCondition<Boolean> urlContains(final String fraction) {
return new ExpectedCondition<Boolean>() {
private String currentUrl = "";
@Override
public Boolean apply(WebDriver driver) {
currentUrl = driver.getCurrentUrl();
return currentUrl != null && currentUrl.contains(fraction);
}
@Override
public String toString() {
return String.format("url to contain \"%s\". Current url: \"%s\"", fraction, currentUrl);
}
};
}
|
java
|
public static ExpectedCondition<Boolean> urlContains(final String fraction) {
return new ExpectedCondition<Boolean>() {
private String currentUrl = "";
@Override
public Boolean apply(WebDriver driver) {
currentUrl = driver.getCurrentUrl();
return currentUrl != null && currentUrl.contains(fraction);
}
@Override
public String toString() {
return String.format("url to contain \"%s\". Current url: \"%s\"", fraction, currentUrl);
}
};
}
|
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/support/ui/ExpectedConditions.java#L126-L141
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train
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An expectation for checking if the current url contains the given fraction.
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apache/spark
|
launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java
|
CommandBuilderUtils.mergeEnvPathList
|
static void mergeEnvPathList(Map<String, String> userEnv, String envKey, String pathList) {
if (!isEmpty(pathList)) {
String current = firstNonEmpty(userEnv.get(envKey), System.getenv(envKey));
userEnv.put(envKey, join(File.pathSeparator, current, pathList));
}
}
|
java
|
static void mergeEnvPathList(Map<String, String> userEnv, String envKey, String pathList) {
if (!isEmpty(pathList)) {
String current = firstNonEmpty(userEnv.get(envKey), System.getenv(envKey));
userEnv.put(envKey, join(File.pathSeparator, current, pathList));
}
}
|
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Updates the user environment, appending the given pathList to the existing value of the given
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java#L114-L119
|
train
|
Merge env path list into user env.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/StringValueUtils.java
|
StringValueUtils.replaceNonWordChars
|
public static void replaceNonWordChars(StringValue string, char replacement) {
final char[] chars = string.getCharArray();
final int len = string.length();
for (int i = 0; i < len; i++) {
final char c = chars[i];
if (!(Character.isLetter(c) || Character.isDigit(c) || c == '_')) {
chars[i] = replacement;
}
}
}
|
java
|
public static void replaceNonWordChars(StringValue string, char replacement) {
final char[] chars = string.getCharArray();
final int len = string.length();
for (int i = 0; i < len; i++) {
final char c = chars[i];
if (!(Character.isLetter(c) || Character.isDigit(c) || c == '_')) {
chars[i] = replacement;
}
}
}
|
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Replaces all non-word characters in a string by a given character. The only
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{@link Character#isDigit(char)}, as well as the underscore character.
<p>This operation is intended to simplify strings for counting distinct words.
@param string The string value to have the non-word characters replaced.
@param replacement The character to use as the replacement.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/StringValueUtils.java#L62-L72
|
train
|
Replaces non - word characters in a string with a replacement character.
|
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30526
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/EmbeddedCLIServiceClient.java
|
EmbeddedCLIServiceClient.getTables
|
@Override
public OperationHandle getTables(SessionHandle sessionHandle, String catalogName,
String schemaName, String tableName, List<String> tableTypes) throws HiveSQLException {
return cliService.getTables(sessionHandle, catalogName, schemaName, tableName, tableTypes);
}
|
java
|
@Override
public OperationHandle getTables(SessionHandle sessionHandle, String catalogName,
String schemaName, String tableName, List<String> tableTypes) throws HiveSQLException {
return cliService.getTables(sessionHandle, catalogName, schemaName, tableName, tableTypes);
}
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/* (non-Javadoc)
@see org.apache.hive.service.cli.CLIServiceClient#getTables(org.apache.hive.service.cli.SessionHandle, java.lang.String, java.lang.String, java.lang.String, java.util.List)
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/EmbeddedCLIServiceClient.java#L119-L123
|
train
|
Get the tables for the sequence number.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/HttpRequest.java
|
HttpRequest.form
|
public HttpRequest form(String name, byte[] fileBytes, String fileName) {
if (null != fileBytes) {
form(name, new BytesResource(fileBytes, fileName));
}
return this;
}
|
java
|
public HttpRequest form(String name, byte[] fileBytes, String fileName) {
if (null != fileBytes) {
form(name, new BytesResource(fileBytes, fileName));
}
return this;
}
|
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文件byte[]表单项<br>
一旦有文件加入,表单变为multipart/form-data
@param name 名
@param fileBytes 需要上传的文件
@param fileName 文件名
@return this
@since 4.1.0
|
[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpRequest.java#L545-L550
|
train
|
Adds a form file to the request.
|
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