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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java
|
IoUtil.contentEquals
|
public static boolean contentEquals(Reader input1, Reader input2) throws IORuntimeException {
input1 = getReader(input1);
input2 = getReader(input2);
try {
int ch = input1.read();
while (EOF != ch) {
int ch2 = input2.read();
if (ch != ch2) {
return false;
}
ch = input1.read();
}
int ch2 = input2.read();
return ch2 == EOF;
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
java
|
public static boolean contentEquals(Reader input1, Reader input2) throws IORuntimeException {
input1 = getReader(input1);
input2 = getReader(input2);
try {
int ch = input1.read();
while (EOF != ch) {
int ch2 = input2.read();
if (ch != ch2) {
return false;
}
ch = input1.read();
}
int ch2 = input2.read();
return ch2 == EOF;
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
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对比两个Reader的内容是否一致<br>
内部会转换流为 {@link BufferedInputStream}
@param input1 第一个reader
@param input2 第二个reader
@return 两个流的内容一致返回true，否则false
@throws IORuntimeException IO异常
@since 4.0.6
|
[
"对比两个Reader的内容是否一致<br",
">",
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L1057-L1076
|
train
|
Returns true if the contents of two Reader objects are equal.
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30526
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/environment/StreamExecutionEnvironment.java
|
StreamExecutionEnvironment.socketTextStream
|
@PublicEvolving
public DataStreamSource<String> socketTextStream(String hostname, int port, String delimiter) {
return socketTextStream(hostname, port, delimiter, 0);
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|
java
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@PublicEvolving
public DataStreamSource<String> socketTextStream(String hostname, int port, String delimiter) {
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The host name which a server socket binds
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The port number which a server socket binds. A port number of 0 means that the port number is automatically
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A string which splits received strings into records
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/environment/StreamExecutionEnvironment.java#L1254-L1257
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train
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Returns a DataStreamSource that reads from the specified hostname on the specified port using the specified delimiter.
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java
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Pattern.notNext
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public Pattern<T, T> notNext(final String name) {
if (quantifier.hasProperty(Quantifier.QuantifierProperty.OPTIONAL)) {
throw new UnsupportedOperationException(
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}
return new Pattern<>(name, this, ConsumingStrategy.NOT_NEXT, afterMatchSkipStrategy);
}
|
java
|
public Pattern<T, T> notNext(final String name) {
if (quantifier.hasProperty(Quantifier.QuantifierProperty.OPTIONAL)) {
throw new UnsupportedOperationException(
"Specifying a pattern with an optional path to NOT condition is not supported yet. " +
"You can simulate such pattern with two independent patterns, one with and the other without " +
"the optional part.");
}
return new Pattern<>(name, this, ConsumingStrategy.NOT_NEXT, afterMatchSkipStrategy);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java#L272-L280
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train
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Creates a pattern that matches only the next occurrence of the pattern.
|
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looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONUtil.java
|
JSONUtil.parseFromResourceBundle
|
public static JSONObject parseFromResourceBundle(ResourceBundle bundle) {
JSONObject jsonObject = new JSONObject();
Enumeration<String> keys = bundle.getKeys();
while (keys.hasMoreElements()) {
String key = keys.nextElement();
if (key != null) {
InternalJSONUtil.propertyPut(jsonObject, key, bundle.getString(key));
}
}
return jsonObject;
}
|
java
|
public static JSONObject parseFromResourceBundle(ResourceBundle bundle) {
JSONObject jsonObject = new JSONObject();
Enumeration<String> keys = bundle.getKeys();
while (keys.hasMoreElements()) {
String key = keys.nextElement();
if (key != null) {
InternalJSONUtil.propertyPut(jsonObject, key, bundle.getString(key));
}
}
return jsonObject;
}
|
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ResourceBundle转化为JSONObject
@param bundle ResourceBundle文件
@return JSONObject
|
[
"ResourceBundle转化为JSONObject"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONUtil.java#L190-L200
|
train
|
Creates a new JSONObject from a ResourceBundle.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/tokenizer/NLPTokenizer.java
|
NLPTokenizer.seg2sentence
|
public static List<List<Term>> seg2sentence(String text, boolean shortest)
{
return ANALYZER.seg2sentence(text, shortest);
}
|
java
|
public static List<List<Term>> seg2sentence(String text, boolean shortest)
{
return ANALYZER.seg2sentence(text, shortest);
}
|
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分词断句 输出句子形式
@param text 待分词句子
@param shortest 是否断句为最细的子句（将逗号也视作分隔符）
@return 句子列表，每个句子由一个单词列表组成
|
[
"分词断句",
"输出句子形式"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/tokenizer/NLPTokenizer.java#L92-L95
|
train
|
seg2sentence - returns a list of lists of terms from a sentence.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/asm/translate/Translate.java
|
Translate.translateEdgeValues
|
@SuppressWarnings("unchecked")
public static <K, OLD, NEW> DataSet<Edge<K, NEW>> translateEdgeValues(DataSet<Edge<K, OLD>> edges, TranslateFunction<OLD, NEW> translator, int parallelism) {
Preconditions.checkNotNull(edges);
Preconditions.checkNotNull(translator);
Class<Edge<K, NEW>> edgeClass = (Class<Edge<K, NEW>>) (Class<? extends Edge>) Edge.class;
TypeInformation<K> idType = ((TupleTypeInfo<Edge<K, OLD>>) edges.getType()).getTypeAt(0);
TypeInformation<OLD> oldType = ((TupleTypeInfo<Edge<K, OLD>>) edges.getType()).getTypeAt(2);
TypeInformation<NEW> newType = TypeExtractor.getUnaryOperatorReturnType(
translator,
TranslateFunction.class,
0,
1,
new int[]{1},
oldType,
null,
false);
TupleTypeInfo<Edge<K, NEW>> returnType = new TupleTypeInfo<>(edgeClass, idType, idType, newType);
return edges
.map(new TranslateEdgeValue<>(translator))
.returns(returnType)
.setParallelism(parallelism)
.name("Translate edge values");
}
|
java
|
@SuppressWarnings("unchecked")
public static <K, OLD, NEW> DataSet<Edge<K, NEW>> translateEdgeValues(DataSet<Edge<K, OLD>> edges, TranslateFunction<OLD, NEW> translator, int parallelism) {
Preconditions.checkNotNull(edges);
Preconditions.checkNotNull(translator);
Class<Edge<K, NEW>> edgeClass = (Class<Edge<K, NEW>>) (Class<? extends Edge>) Edge.class;
TypeInformation<K> idType = ((TupleTypeInfo<Edge<K, OLD>>) edges.getType()).getTypeAt(0);
TypeInformation<OLD> oldType = ((TupleTypeInfo<Edge<K, OLD>>) edges.getType()).getTypeAt(2);
TypeInformation<NEW> newType = TypeExtractor.getUnaryOperatorReturnType(
translator,
TranslateFunction.class,
0,
1,
new int[]{1},
oldType,
null,
false);
TupleTypeInfo<Edge<K, NEW>> returnType = new TupleTypeInfo<>(edgeClass, idType, idType, newType);
return edges
.map(new TranslateEdgeValue<>(translator))
.returns(returnType)
.setParallelism(parallelism)
.name("Translate edge values");
}
|
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Translate {@link Edge} values using the given {@link TranslateFunction}.
@param edges input edges
@param translator implements conversion from {@code OLD} to {@code NEW}
@param parallelism operator parallelism
@param <K> vertex ID type
@param <OLD> old edge value type
@param <NEW> new edge value type
@return translated edges
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/asm/translate/Translate.java#L319-L344
|
train
|
Translate edge values.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializerSnapshot.java
|
PojoSerializerSnapshot.restoreSerializers
|
private static <K> LinkedHashMap<K, TypeSerializer<?>> restoreSerializers(LinkedHashMap<K, TypeSerializerSnapshot<?>> snapshotsMap) {
final LinkedHashMap<K, TypeSerializer<?>> restoredSerializersMap = new LinkedHashMap<>(snapshotsMap.size());
snapshotsMap.forEach((key, snapshot) -> restoredSerializersMap.put(key, snapshot.restoreSerializer()));
return restoredSerializersMap;
}
|
java
|
private static <K> LinkedHashMap<K, TypeSerializer<?>> restoreSerializers(LinkedHashMap<K, TypeSerializerSnapshot<?>> snapshotsMap) {
final LinkedHashMap<K, TypeSerializer<?>> restoredSerializersMap = new LinkedHashMap<>(snapshotsMap.size());
snapshotsMap.forEach((key, snapshot) -> restoredSerializersMap.put(key, snapshot.restoreSerializer()));
return restoredSerializersMap;
}
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[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializerSnapshot.java#L234-L238
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train
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Restore serializers from the given map.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/thread/ThreadUtil.java
|
ThreadUtil.currentThreadGroup
|
public static ThreadGroup currentThreadGroup() {
final SecurityManager s = System.getSecurityManager();
return (null != s) ? s.getThreadGroup() : Thread.currentThread().getThreadGroup();
}
|
java
|
public static ThreadGroup currentThreadGroup() {
final SecurityManager s = System.getSecurityManager();
return (null != s) ? s.getThreadGroup() : Thread.currentThread().getThreadGroup();
}
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获取当前线程的线程组
@return 线程组
@since 3.1.2
|
[
"获取当前线程的线程组"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/thread/ThreadUtil.java#L383-L386
|
train
|
Gets the ThreadGroup for the current thread.
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java/server/src/org/openqa/grid/internal/DefaultGridRegistry.java
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DefaultGridRegistry._release
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private void _release(TestSlot testSlot, SessionTerminationReason reason) {
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if (!testSlot.performAfterSessionEvent()) {
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final String internalKey = testSlot.getInternalKey();
try {
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java
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private void _release(TestSlot testSlot, SessionTerminationReason reason) {
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if (!testSlot.performAfterSessionEvent()) {
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final String internalKey = testSlot.getInternalKey();
try {
lock.lock();
testSlot.finishReleaseProcess();
release(internalKey, reason);
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lock.unlock();
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}
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7af172729f17b20269c8ca4ea6f788db48616535
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https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/server/src/org/openqa/grid/internal/DefaultGridRegistry.java#L126-L144
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train
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networknt/light-4j
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service/src/main/java/com/networknt/service/ServiceUtil.java
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ServiceUtil.construct
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public static Object construct(Object something) throws Exception {
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return null;
}
|
java
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public static Object construct(Object something) throws Exception {
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} else if (entry.getValue() instanceof List) {
return constructByParameterizedConstructor(Class.forName(entry.getKey()), (List)entry.getValue());
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}
return null;
}
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
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https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/service/src/main/java/com/networknt/service/ServiceUtil.java#L43-L57
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train
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networknt/light-4j
|
utility/src/main/java/com/networknt/utility/NioUtils.java
|
NioUtils.list
|
public static void list(String zipFilename) throws IOException{
if(logger.isDebugEnabled()) logger.debug("Listing Archive: %s",zipFilename);
//create the file system
try (FileSystem zipFileSystem = createZipFileSystem(zipFilename, false)) {
final Path root = zipFileSystem.getPath("/");
//walk the file tree and print out the directory and filenames
Files.walkFileTree(root, new SimpleFileVisitor<Path>(){
@Override
public FileVisitResult visitFile(Path file,
BasicFileAttributes attrs) throws IOException {
print(file);
return FileVisitResult.CONTINUE;
}
@Override
public FileVisitResult preVisitDirectory(Path dir,
BasicFileAttributes attrs) throws IOException {
print(dir);
return FileVisitResult.CONTINUE;
}
/**
* prints out details about the specified path
* such as size and modification time
* @param file
* @throws IOException
*/
private void print(Path file) throws IOException{
final DateFormat df = new SimpleDateFormat("MM/dd/yyyy-HH:mm:ss");
final String modTime= df.format(new Date(
Files.getLastModifiedTime(file).toMillis()));
if(logger.isDebugEnabled()) {
logger.debug("%d %s %s",
Files.size(file),
modTime,
file);
}
}
});
}
}
|
java
|
public static void list(String zipFilename) throws IOException{
if(logger.isDebugEnabled()) logger.debug("Listing Archive: %s",zipFilename);
//create the file system
try (FileSystem zipFileSystem = createZipFileSystem(zipFilename, false)) {
final Path root = zipFileSystem.getPath("/");
//walk the file tree and print out the directory and filenames
Files.walkFileTree(root, new SimpleFileVisitor<Path>(){
@Override
public FileVisitResult visitFile(Path file,
BasicFileAttributes attrs) throws IOException {
print(file);
return FileVisitResult.CONTINUE;
}
@Override
public FileVisitResult preVisitDirectory(Path dir,
BasicFileAttributes attrs) throws IOException {
print(dir);
return FileVisitResult.CONTINUE;
}
/**
* prints out details about the specified path
* such as size and modification time
* @param file
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private void print(Path file) throws IOException{
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/utility/src/main/java/com/networknt/utility/NioUtils.java#L179-L222
|
train
|
List the contents of a zip file.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java
|
NeuralNetworkParser.load
|
public boolean load(ByteArray byteArray)
{
if (byteArray == null) return false;
model_header = byteArray.nextString();
root = byteArray.nextString();
use_distance = byteArray.nextInt() == 1;
use_valency = byteArray.nextInt() == 1;
use_cluster = byteArray.nextInt() == 1;
W1 = new Matrix();
W1.load(byteArray);
W2 = new Matrix();
W2.load(byteArray);
E = new Matrix();
E .load(byteArray);
b1 = new Matrix();
b1 .load(byteArray);
saved = new Matrix();
saved .load(byteArray);
forms_alphabet = new Alphabet();
forms_alphabet .load(byteArray);
postags_alphabet = new Alphabet();
postags_alphabet .load(byteArray);
deprels_alphabet = new Alphabet();
deprels_alphabet .load(byteArray);
precomputation_id_encoder = read_map(byteArray);
if (use_cluster)
{
cluster4_types_alphabet = new Alphabet();
cluster4_types_alphabet.load(byteArray);
cluster6_types_alphabet = new Alphabet();
cluster6_types_alphabet .load(byteArray);
cluster_types_alphabet = new Alphabet();
cluster_types_alphabet .load(byteArray);
form_to_cluster4 = read_map(byteArray);
form_to_cluster6 = read_map(byteArray);
form_to_cluster = read_map(byteArray);
}
assert !byteArray.hasMore() : "文件有残留，可能是读取逻辑不对";
classifier = new NeuralNetworkClassifier(W1, W2, E, b1, saved, precomputation_id_encoder);
classifier.canonical();
return true;
}
|
java
|
public boolean load(ByteArray byteArray)
{
if (byteArray == null) return false;
model_header = byteArray.nextString();
root = byteArray.nextString();
use_distance = byteArray.nextInt() == 1;
use_valency = byteArray.nextInt() == 1;
use_cluster = byteArray.nextInt() == 1;
W1 = new Matrix();
W1.load(byteArray);
W2 = new Matrix();
W2.load(byteArray);
E = new Matrix();
E .load(byteArray);
b1 = new Matrix();
b1 .load(byteArray);
saved = new Matrix();
saved .load(byteArray);
forms_alphabet = new Alphabet();
forms_alphabet .load(byteArray);
postags_alphabet = new Alphabet();
postags_alphabet .load(byteArray);
deprels_alphabet = new Alphabet();
deprels_alphabet .load(byteArray);
precomputation_id_encoder = read_map(byteArray);
if (use_cluster)
{
cluster4_types_alphabet = new Alphabet();
cluster4_types_alphabet.load(byteArray);
cluster6_types_alphabet = new Alphabet();
cluster6_types_alphabet .load(byteArray);
cluster_types_alphabet = new Alphabet();
cluster_types_alphabet .load(byteArray);
form_to_cluster4 = read_map(byteArray);
form_to_cluster6 = read_map(byteArray);
form_to_cluster = read_map(byteArray);
}
assert !byteArray.hasMore() : "文件有残留，可能是读取逻辑不对";
classifier = new NeuralNetworkClassifier(W1, W2, E, b1, saved, precomputation_id_encoder);
classifier.canonical();
return true;
}
|
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] |
从bin加载
@param byteArray
@return
|
[
"从bin加载"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java#L238-L288
|
train
|
Load the class file from the specified byte array.
|
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netty/netty
|
resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolver.java
|
DnsNameResolver.resolveAll
|
public final Future<List<InetAddress>> resolveAll(String inetHost, Iterable<DnsRecord> additionals,
Promise<List<InetAddress>> promise) {
checkNotNull(promise, "promise");
DnsRecord[] additionalsArray = toArray(additionals, true);
try {
doResolveAll(inetHost, additionalsArray, promise, resolveCache);
return promise;
} catch (Exception e) {
return promise.setFailure(e);
}
}
|
java
|
public final Future<List<InetAddress>> resolveAll(String inetHost, Iterable<DnsRecord> additionals,
Promise<List<InetAddress>> promise) {
checkNotNull(promise, "promise");
DnsRecord[] additionalsArray = toArray(additionals, true);
try {
doResolveAll(inetHost, additionalsArray, promise, resolveCache);
return promise;
} catch (Exception e) {
return promise.setFailure(e);
}
}
|
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Resolves the specified host name and port into a list of address.
@param inetHost the name to resolve
@param additionals additional records ({@code OPT})
@param promise the {@link Promise} which will be fulfilled when the name resolution is finished
@return the list of 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#L683-L693
|
train
|
Resolves all the dns records in the specified inet host.
|
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flink-core/src/main/java/org/apache/flink/types/Record.java
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Record.writeVarLengthInt
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private static final void writeVarLengthInt(DataOutput out, int value) throws IOException {
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out.write(value);
}
|
java
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private static final void writeVarLengthInt(DataOutput out, int value) throws IOException {
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out.write(value);
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--------------------------------------------------------------------------------------------
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[
"--------------------------------------------------------------------------------------------"
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/Record.java#L1239-L1245
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train
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netty/netty
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handler/src/main/java/io/netty/handler/traffic/TrafficCounter.java
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TrafficCounter.readTimeToWait
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public long readTimeToWait(final long size, final long limitTraffic, final long maxTime, final long now) {
bytesRecvFlowControl(size);
if (size == 0 || limitTraffic == 0) {
return 0;
}
final long lastTimeCheck = lastTime.get();
long sum = currentReadBytes.get();
long localReadingTime = readingTime;
long lastRB = lastReadBytes;
final long interval = now - lastTimeCheck;
long pastDelay = Math.max(lastReadingTime - lastTimeCheck, 0);
if (interval > AbstractTrafficShapingHandler.MINIMAL_WAIT) {
// Enough interval time to compute shaping
long time = sum * 1000 / limitTraffic - interval + pastDelay;
if (time > AbstractTrafficShapingHandler.MINIMAL_WAIT) {
if (logger.isDebugEnabled()) {
logger.debug("Time: " + time + ':' + sum + ':' + interval + ':' + pastDelay);
}
if (time > maxTime && now + time - localReadingTime > maxTime) {
time = maxTime;
}
readingTime = Math.max(localReadingTime, now + time);
return time;
}
readingTime = Math.max(localReadingTime, now);
return 0;
}
// take the last read interval check to get enough interval time
long lastsum = sum + lastRB;
long lastinterval = interval + checkInterval.get();
long time = lastsum * 1000 / limitTraffic - lastinterval + pastDelay;
if (time > AbstractTrafficShapingHandler.MINIMAL_WAIT) {
if (logger.isDebugEnabled()) {
logger.debug("Time: " + time + ':' + lastsum + ':' + lastinterval + ':' + pastDelay);
}
if (time > maxTime && now + time - localReadingTime > maxTime) {
time = maxTime;
}
readingTime = Math.max(localReadingTime, now + time);
return time;
}
readingTime = Math.max(localReadingTime, now);
return 0;
}
|
java
|
public long readTimeToWait(final long size, final long limitTraffic, final long maxTime, final long now) {
bytesRecvFlowControl(size);
if (size == 0 || limitTraffic == 0) {
return 0;
}
final long lastTimeCheck = lastTime.get();
long sum = currentReadBytes.get();
long localReadingTime = readingTime;
long lastRB = lastReadBytes;
final long interval = now - lastTimeCheck;
long pastDelay = Math.max(lastReadingTime - lastTimeCheck, 0);
if (interval > AbstractTrafficShapingHandler.MINIMAL_WAIT) {
// Enough interval time to compute shaping
long time = sum * 1000 / limitTraffic - interval + pastDelay;
if (time > AbstractTrafficShapingHandler.MINIMAL_WAIT) {
if (logger.isDebugEnabled()) {
logger.debug("Time: " + time + ':' + sum + ':' + interval + ':' + pastDelay);
}
if (time > maxTime && now + time - localReadingTime > maxTime) {
time = maxTime;
}
readingTime = Math.max(localReadingTime, now + time);
return time;
}
readingTime = Math.max(localReadingTime, now);
return 0;
}
// take the last read interval check to get enough interval time
long lastsum = sum + lastRB;
long lastinterval = interval + checkInterval.get();
long time = lastsum * 1000 / limitTraffic - lastinterval + pastDelay;
if (time > AbstractTrafficShapingHandler.MINIMAL_WAIT) {
if (logger.isDebugEnabled()) {
logger.debug("Time: " + time + ':' + lastsum + ':' + lastinterval + ':' + pastDelay);
}
if (time > maxTime && now + time - localReadingTime > maxTime) {
time = maxTime;
}
readingTime = Math.max(localReadingTime, now + time);
return time;
}
readingTime = Math.max(localReadingTime, now);
return 0;
}
|
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] |
Returns the time to wait (if any) for the given length message, using the given limitTraffic and the max wait
time.
@param size
the recv size
@param limitTraffic
the traffic limit in bytes per second
@param maxTime
the max time in ms to wait in case of excess of traffic.
@param now the current time
@return the current time to wait (in ms) if needed for Read operation.
|
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/traffic/TrafficCounter.java#L498-L541
|
train
|
readTimeToWait This method is used to determine how long to wait for a message to be read.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.addAll
|
public static <T> Collection<T> addAll(Collection<T> collection, Iterable<T> iterable) {
return addAll(collection, iterable.iterator());
}
|
java
|
public static <T> Collection<T> addAll(Collection<T> collection, Iterable<T> iterable) {
return addAll(collection, iterable.iterator());
}
|
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加入全部
@param <T> 集合元素类型
@param collection 被加入的集合 {@link Collection}
@param iterable 要加入的内容{@link Iterable}
@return 原集合
|
[
"加入全部"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L1771-L1773
|
train
|
Adds all elements from the iterable to the collection.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/tunnel/client/TunnelClient.java
|
TunnelClient.stop
|
public void stop() throws IOException {
synchronized (this.monitor) {
if (this.serverThread != null) {
this.serverThread.close();
try {
this.serverThread.join(2000);
}
catch (InterruptedException ex) {
Thread.currentThread().interrupt();
}
this.serverThread = null;
}
}
}
|
java
|
public void stop() throws IOException {
synchronized (this.monitor) {
if (this.serverThread != null) {
this.serverThread.close();
try {
this.serverThread.join(2000);
}
catch (InterruptedException ex) {
Thread.currentThread().interrupt();
}
this.serverThread = null;
}
}
}
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@throws IOException in case of I/O errors
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/tunnel/client/TunnelClient.java#L102-L115
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train
|
Stop the server.
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30526
] |
looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java
|
SqlConnRunner.update
|
public int update(Connection conn, Entity record, Entity where) throws SQLException {
checkConn(conn);
if(CollectionUtil.isEmpty(record)){
throw new SQLException("Empty entity provided!");
}
if(CollectionUtil.isEmpty(where)){
//不允许做全表更新
throw new SQLException("Empty where provided!");
}
//表名可以从被更新记录的Entity中获得，也可以从Where中获得
String tableName = record.getTableName();
if(StrUtil.isBlank(tableName)){
tableName = where.getTableName();
record.setTableName(tableName);
}
final Query query = new Query(SqlUtil.buildConditions(where), tableName);
PreparedStatement ps = null;
try {
ps = dialect.psForUpdate(conn, record, query);
return ps.executeUpdate();
} catch (SQLException e) {
throw e;
} finally {
DbUtil.close(ps);
}
}
|
java
|
public int update(Connection conn, Entity record, Entity where) throws SQLException {
checkConn(conn);
if(CollectionUtil.isEmpty(record)){
throw new SQLException("Empty entity provided!");
}
if(CollectionUtil.isEmpty(where)){
//不允许做全表更新
throw new SQLException("Empty where provided!");
}
//表名可以从被更新记录的Entity中获得，也可以从Where中获得
String tableName = record.getTableName();
if(StrUtil.isBlank(tableName)){
tableName = where.getTableName();
record.setTableName(tableName);
}
final Query query = new Query(SqlUtil.buildConditions(where), tableName);
PreparedStatement ps = null;
try {
ps = dialect.psForUpdate(conn, record, query);
return ps.executeUpdate();
} catch (SQLException e) {
throw e;
} finally {
DbUtil.close(ps);
}
}
|
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] |
更新数据<br>
此方法不会关闭Connection
@param conn 数据库连接
@param record 记录
@param where 条件
@return 影响行数
@throws SQLException SQL执行异常
|
[
"更新数据<br",
">",
"此方法不会关闭Connection"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java#L263-L290
|
train
|
Updates the specified entity in the database.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/FileUtils.java
|
FileUtils.writeCompletely
|
public static void writeCompletely(WritableByteChannel channel, ByteBuffer src) throws IOException {
while (src.hasRemaining()) {
channel.write(src);
}
}
|
java
|
public static void writeCompletely(WritableByteChannel channel, ByteBuffer src) throws IOException {
while (src.hasRemaining()) {
channel.write(src);
}
}
|
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/FileUtils.java#L74-L78
|
train
|
Write a complete ByteBuffer to a channel.
|
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30526
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apache/flink
|
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStream.java
|
PatternStream.flatSelect
|
public <L, R> SingleOutputStreamOperator<R> flatSelect(
final OutputTag<L> timedOutPartialMatchesTag,
final PatternFlatTimeoutFunction<T, L> patternFlatTimeoutFunction,
final TypeInformation<R> outTypeInfo,
final PatternFlatSelectFunction<T, R> patternFlatSelectFunction) {
final PatternProcessFunction<T, R> processFunction =
fromFlatSelect(builder.clean(patternFlatSelectFunction))
.withTimeoutHandler(timedOutPartialMatchesTag, builder.clean(patternFlatTimeoutFunction))
.build();
return process(processFunction, outTypeInfo);
}
|
java
|
public <L, R> SingleOutputStreamOperator<R> flatSelect(
final OutputTag<L> timedOutPartialMatchesTag,
final PatternFlatTimeoutFunction<T, L> patternFlatTimeoutFunction,
final TypeInformation<R> outTypeInfo,
final PatternFlatSelectFunction<T, R> patternFlatSelectFunction) {
final PatternProcessFunction<T, R> processFunction =
fromFlatSelect(builder.clean(patternFlatSelectFunction))
.withTimeoutHandler(timedOutPartialMatchesTag, builder.clean(patternFlatTimeoutFunction))
.build();
return process(processFunction, outTypeInfo);
}
|
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Applies a flat select function to the detected pattern sequence. For each pattern sequence the
provided {@link PatternFlatSelectFunction} is called. The pattern select function can produce
exactly one resulting element.
<p>Applies a timeout function to a partial pattern sequence which has timed out. For each
partial pattern sequence the provided {@link PatternFlatTimeoutFunction} is called. The pattern
timeout function can produce exactly one resulting element.
<p>You can get the stream of timed-out data resulting from the
{@link SingleOutputStreamOperator#getSideOutput(OutputTag)} on the
{@link SingleOutputStreamOperator} resulting from the select operation
with the same {@link OutputTag}.
@param timedOutPartialMatchesTag {@link OutputTag} that identifies side output with timed out patterns
@param patternFlatTimeoutFunction The pattern timeout function which is called for each partial
pattern sequence which has timed out.
@param patternFlatSelectFunction The pattern select function which is called for each detected
pattern sequence.
@param outTypeInfo Explicit specification of output type.
@param <L> Type of the resulting timeout elements
@param <R> Type of the resulting elements
@return {@link DataStream} which contains the resulting elements with the resulting timeout
elements in a side output.
|
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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#L440-L452
|
train
|
Flat select.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/io/SplitDataProperties.java
|
SplitDataProperties.splitsOrderedBy
|
public SplitDataProperties<T> splitsOrderedBy(String orderFields, Order[] orders) {
if (orderFields == null || orders == null) {
throw new InvalidProgramException("OrderFields or Orders may not be null.");
}
String[] orderKeysA = orderFields.split(";");
if (orderKeysA.length == 0) {
throw new InvalidProgramException("OrderFields may not be empty.");
} else if (orders.length == 0) {
throw new InvalidProgramException("Orders may not be empty");
} else if (orderKeysA.length != orders.length) {
throw new InvalidProgramException("Number of OrderFields and Orders must match.");
}
if (this.splitGroupKeys != null) {
throw new InvalidProgramException("DataSource may either be grouped or sorted.");
}
this.splitOrdering = new Ordering();
for (int i = 0; i < orderKeysA.length; i++) {
String keyExp = orderKeysA[i];
Keys.ExpressionKeys<T> ek = new Keys.ExpressionKeys<>(keyExp, this.type);
int[] flatKeys = ek.computeLogicalKeyPositions();
for (int key : flatKeys) {
// check for duplicates
for (int okey : splitOrdering.getFieldPositions()) {
if (key == okey) {
throw new InvalidProgramException("Duplicate field in field expression " + keyExp);
}
}
// append key
this.splitOrdering.appendOrdering(key, null, orders[i]);
}
}
return this;
}
|
java
|
public SplitDataProperties<T> splitsOrderedBy(String orderFields, Order[] orders) {
if (orderFields == null || orders == null) {
throw new InvalidProgramException("OrderFields or Orders may not be null.");
}
String[] orderKeysA = orderFields.split(";");
if (orderKeysA.length == 0) {
throw new InvalidProgramException("OrderFields may not be empty.");
} else if (orders.length == 0) {
throw new InvalidProgramException("Orders may not be empty");
} else if (orderKeysA.length != orders.length) {
throw new InvalidProgramException("Number of OrderFields and Orders must match.");
}
if (this.splitGroupKeys != null) {
throw new InvalidProgramException("DataSource may either be grouped or sorted.");
}
this.splitOrdering = new Ordering();
for (int i = 0; i < orderKeysA.length; i++) {
String keyExp = orderKeysA[i];
Keys.ExpressionKeys<T> ek = new Keys.ExpressionKeys<>(keyExp, this.type);
int[] flatKeys = ek.computeLogicalKeyPositions();
for (int key : flatKeys) {
// check for duplicates
for (int okey : splitOrdering.getFieldPositions()) {
if (key == okey) {
throw new InvalidProgramException("Duplicate field in field expression " + keyExp);
}
}
// append key
this.splitOrdering.appendOrdering(key, null, orders[i]);
}
}
return this;
}
|
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Defines that the data within an input split is sorted on the fields defined by the field expressions
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All records of an input split must be emitted by the input format in the defined order.
<p><b>
IMPORTANT: Providing wrong information with SplitDataProperties can cause wrong results!
</b>
@param orderFields The field expressions of the grouping key.
@param orders The orders of the fields.
@return This SplitDataProperties object.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/io/SplitDataProperties.java#L312-L350
|
train
|
Splits the data in the data source in order by the specified fields.
|
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] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java
|
NeuralNetworkParser.DEPREL
|
int DEPREL(final List<Integer> deprels, int id)
{
return ((id != -1) ? (deprels.get(id) + kDeprelInFeaturespace) : kNilDeprel);
}
|
java
|
int DEPREL(final List<Integer> deprels, int id)
{
return ((id != -1) ? (deprels.get(id) + kDeprelInFeaturespace) : kNilDeprel);
}
|
[
"int",
"DEPREL",
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"final",
"List",
"<",
"Integer",
">",
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"int",
"id",
")",
"{",
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"id",
"!=",
"-",
"1",
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"get",
"(",
"id",
")",
"+",
"kDeprelInFeaturespace",
")",
":",
"kNilDeprel",
")",
";",
"}"
] |
获取依存
@param deprels 依存列表
@param id 依存下标
@return 依存
|
[
"获取依存"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java#L650-L653
|
train
|
Get the DEPREL value for a given ID.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java
|
JobVertex.getInvokableClass
|
public Class<? extends AbstractInvokable> getInvokableClass(ClassLoader cl) {
if (cl == null) {
throw new NullPointerException("The classloader must not be null.");
}
if (invokableClassName == null) {
return null;
}
try {
return Class.forName(invokableClassName, true, cl).asSubclass(AbstractInvokable.class);
}
catch (ClassNotFoundException e) {
throw new RuntimeException("The user-code class could not be resolved.", e);
}
catch (ClassCastException e) {
throw new RuntimeException("The user-code class is no subclass of " + AbstractInvokable.class.getName(), e);
}
}
|
java
|
public Class<? extends AbstractInvokable> getInvokableClass(ClassLoader cl) {
if (cl == null) {
throw new NullPointerException("The classloader must not be null.");
}
if (invokableClassName == null) {
return null;
}
try {
return Class.forName(invokableClassName, true, cl).asSubclass(AbstractInvokable.class);
}
catch (ClassNotFoundException e) {
throw new RuntimeException("The user-code class could not be resolved.", e);
}
catch (ClassCastException e) {
throw new RuntimeException("The user-code class is no subclass of " + AbstractInvokable.class.getName(), e);
}
}
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Returns the invokable class which represents the task of this vertex
@param cl The classloader used to resolve user-defined classes
@return The invokable class, <code>null</code> if it is not set
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java#L257-L274
|
train
|
Returns the user - code class that is invoked by the specified classloader.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/model/perceptron/utility/Utility.java
|
Utility.convertSentenceToNER
|
public static List<String[]> convertSentenceToNER(Sentence sentence, NERTagSet tagSet)
{
List<String[]> collector = new LinkedList<String[]>();
Set<String> nerLabels = tagSet.nerLabels;
for (IWord word : sentence.wordList)
{
if (word instanceof CompoundWord)
{
List<Word> wordList = ((CompoundWord) word).innerList;
Word[] words = wordList.toArray(new Word[0]);
if (nerLabels.contains(word.getLabel()))
{
collector.add(new String[]{words[0].value, words[0].label, tagSet.B_TAG_PREFIX + word.getLabel()});
for (int i = 1; i < words.length - 1; i++)
{
collector.add(new String[]{words[i].value, words[i].label, tagSet.M_TAG_PREFIX + word.getLabel()});
}
collector.add(new String[]{words[words.length - 1].value, words[words.length - 1].label,
tagSet.E_TAG_PREFIX + word.getLabel()});
}
else
{
for (Word w : words)
{
collector.add(new String[]{w.value, w.label, tagSet.O_TAG});
}
}
}
else
{
if (nerLabels.contains(word.getLabel()))
{
// 单个实体
collector.add(new String[]{word.getValue(), word.getLabel(), tagSet.S_TAG});
}
else
{
collector.add(new String[]{word.getValue(), word.getLabel(), tagSet.O_TAG});
}
}
}
return collector;
}
|
java
|
public static List<String[]> convertSentenceToNER(Sentence sentence, NERTagSet tagSet)
{
List<String[]> collector = new LinkedList<String[]>();
Set<String> nerLabels = tagSet.nerLabels;
for (IWord word : sentence.wordList)
{
if (word instanceof CompoundWord)
{
List<Word> wordList = ((CompoundWord) word).innerList;
Word[] words = wordList.toArray(new Word[0]);
if (nerLabels.contains(word.getLabel()))
{
collector.add(new String[]{words[0].value, words[0].label, tagSet.B_TAG_PREFIX + word.getLabel()});
for (int i = 1; i < words.length - 1; i++)
{
collector.add(new String[]{words[i].value, words[i].label, tagSet.M_TAG_PREFIX + word.getLabel()});
}
collector.add(new String[]{words[words.length - 1].value, words[words.length - 1].label,
tagSet.E_TAG_PREFIX + word.getLabel()});
}
else
{
for (Word w : words)
{
collector.add(new String[]{w.value, w.label, tagSet.O_TAG});
}
}
}
else
{
if (nerLabels.contains(word.getLabel()))
{
// 单个实体
collector.add(new String[]{word.getValue(), word.getLabel(), tagSet.S_TAG});
}
else
{
collector.add(new String[]{word.getValue(), word.getLabel(), tagSet.O_TAG});
}
}
}
return collector;
}
|
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] |
将句子转换为 （单词，词性，NER标签）三元组
@param sentence
@param tagSet
@return
|
[
"将句子转换为",
"（单词，词性，NER标签）三元组"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/perceptron/utility/Utility.java#L316-L359
|
train
|
Convert sentence to nER tag set
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java
|
IoUtil.toStream
|
public static ByteArrayInputStream toStream(String content, String charsetName) {
return toStream(content, CharsetUtil.charset(charsetName));
}
|
java
|
public static ByteArrayInputStream toStream(String content, String charsetName) {
return toStream(content, CharsetUtil.charset(charsetName));
}
|
[
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"content",
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"CharsetUtil",
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"charset",
"(",
"charsetName",
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")",
";",
"}"
] |
String 转为流
@param content 内容
@param charsetName 编码
@return 字节流
|
[
"String",
"转为流"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L739-L741
|
train
|
Converts a String to an InputStream.
|
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SeleniumHQ/selenium
|
java/server/src/org/openqa/grid/internal/utils/SelfRegisteringRemote.java
|
SelfRegisteringRemote.addBrowser
|
public void addBrowser(DesiredCapabilities cap, int instances) {
String s = cap.getBrowserName();
if (s == null || "".equals(s)) {
throw new InvalidParameterException(cap + " does seems to be a valid browser.");
}
if (cap.getPlatform() == null) {
cap.setPlatform(Platform.getCurrent());
}
cap.setCapability(RegistrationRequest.MAX_INSTANCES, instances);
registrationRequest.getConfiguration().capabilities.add(cap);
registrationRequest.getConfiguration().fixUpCapabilities();
}
|
java
|
public void addBrowser(DesiredCapabilities cap, int instances) {
String s = cap.getBrowserName();
if (s == null || "".equals(s)) {
throw new InvalidParameterException(cap + " does seems to be a valid browser.");
}
if (cap.getPlatform() == null) {
cap.setPlatform(Platform.getCurrent());
}
cap.setCapability(RegistrationRequest.MAX_INSTANCES, instances);
registrationRequest.getConfiguration().capabilities.add(cap);
registrationRequest.getConfiguration().fixUpCapabilities();
}
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Adding the browser described by the capability, automatically finding out what platform the
node is launched from
@param cap describing the browser
@param instances number of times this browser can be started on the node.
|
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] |
7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/server/src/org/openqa/grid/internal/utils/SelfRegisteringRemote.java#L139-L150
|
train
|
Add a browser to the configuration
|
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apache/flink
|
flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/cli/CliClient.java
|
CliClient.createDefaultTerminal
|
private static Terminal createDefaultTerminal() {
try {
return TerminalBuilder.builder()
.name(CliStrings.CLI_NAME)
.build();
} catch (IOException e) {
throw new SqlClientException("Error opening command line interface.", e);
}
}
|
java
|
private static Terminal createDefaultTerminal() {
try {
return TerminalBuilder.builder()
.name(CliStrings.CLI_NAME)
.build();
} catch (IOException e) {
throw new SqlClientException("Error opening command line interface.", e);
}
}
|
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/cli/CliClient.java#L554-L562
|
train
|
Creates a Terminal instance with default settings.
|
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flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/generated/CompileUtils.java
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CompileUtils.compile
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public static <T> Class<T> compile(ClassLoader cl, String name, String code) {
Tuple2<ClassLoader, String> cacheKey = Tuple2.of(cl, name);
Class<?> clazz = COMPILED_CACHE.getIfPresent(cacheKey);
if (clazz == null) {
clazz = doCompile(cl, name, code);
COMPILED_CACHE.put(cacheKey, clazz);
}
//noinspection unchecked
return (Class<T>) clazz;
}
|
java
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public static <T> Class<T> compile(ClassLoader cl, String name, String code) {
Tuple2<ClassLoader, String> cacheKey = Tuple2.of(cl, name);
Class<?> clazz = COMPILED_CACHE.getIfPresent(cacheKey);
if (clazz == null) {
clazz = doCompile(cl, name, code);
COMPILED_CACHE.put(cacheKey, clazz);
}
//noinspection unchecked
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/generated/CompileUtils.java#L61-L70
|
train
|
Compile a class with the given name and code.
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30526
] |
apache/flink
|
flink-yarn/src/main/java/org/apache/flink/yarn/Utils.java
|
Utils.createTaskExecutorContext
|
static ContainerLaunchContext createTaskExecutorContext(
org.apache.flink.configuration.Configuration flinkConfig,
YarnConfiguration yarnConfig,
Map<String, String> env,
ContaineredTaskManagerParameters tmParams,
org.apache.flink.configuration.Configuration taskManagerConfig,
String workingDirectory,
Class<?> taskManagerMainClass,
Logger log) throws Exception {
// get and validate all relevant variables
String remoteFlinkJarPath = env.get(YarnConfigKeys.FLINK_JAR_PATH);
require(remoteFlinkJarPath != null, "Environment variable %s not set", YarnConfigKeys.FLINK_JAR_PATH);
String appId = env.get(YarnConfigKeys.ENV_APP_ID);
require(appId != null, "Environment variable %s not set", YarnConfigKeys.ENV_APP_ID);
String clientHomeDir = env.get(YarnConfigKeys.ENV_CLIENT_HOME_DIR);
require(clientHomeDir != null, "Environment variable %s not set", YarnConfigKeys.ENV_CLIENT_HOME_DIR);
String shipListString = env.get(YarnConfigKeys.ENV_CLIENT_SHIP_FILES);
require(shipListString != null, "Environment variable %s not set", YarnConfigKeys.ENV_CLIENT_SHIP_FILES);
String yarnClientUsername = env.get(YarnConfigKeys.ENV_HADOOP_USER_NAME);
require(yarnClientUsername != null, "Environment variable %s not set", YarnConfigKeys.ENV_HADOOP_USER_NAME);
final String remoteKeytabPath = env.get(YarnConfigKeys.KEYTAB_PATH);
final String remoteKeytabPrincipal = env.get(YarnConfigKeys.KEYTAB_PRINCIPAL);
final String remoteYarnConfPath = env.get(YarnConfigKeys.ENV_YARN_SITE_XML_PATH);
final String remoteKrb5Path = env.get(YarnConfigKeys.ENV_KRB5_PATH);
if (log.isDebugEnabled()) {
log.debug("TM:remote keytab path obtained {}", remoteKeytabPath);
log.debug("TM:remote keytab principal obtained {}", remoteKeytabPrincipal);
log.debug("TM:remote yarn conf path obtained {}", remoteYarnConfPath);
log.debug("TM:remote krb5 path obtained {}", remoteKrb5Path);
}
String classPathString = env.get(ENV_FLINK_CLASSPATH);
require(classPathString != null, "Environment variable %s not set", YarnConfigKeys.ENV_FLINK_CLASSPATH);
//register keytab
LocalResource keytabResource = null;
if (remoteKeytabPath != null) {
log.info("Adding keytab {} to the AM container local resource bucket", remoteKeytabPath);
Path keytabPath = new Path(remoteKeytabPath);
FileSystem fs = keytabPath.getFileSystem(yarnConfig);
keytabResource = registerLocalResource(fs, keytabPath);
}
//To support Yarn Secure Integration Test Scenario
LocalResource yarnConfResource = null;
LocalResource krb5ConfResource = null;
boolean hasKrb5 = false;
if (remoteYarnConfPath != null && remoteKrb5Path != null) {
log.info("TM:Adding remoteYarnConfPath {} to the container local resource bucket", remoteYarnConfPath);
Path yarnConfPath = new Path(remoteYarnConfPath);
FileSystem fs = yarnConfPath.getFileSystem(yarnConfig);
yarnConfResource = registerLocalResource(fs, yarnConfPath);
log.info("TM:Adding remoteKrb5Path {} to the container local resource bucket", remoteKrb5Path);
Path krb5ConfPath = new Path(remoteKrb5Path);
fs = krb5ConfPath.getFileSystem(yarnConfig);
krb5ConfResource = registerLocalResource(fs, krb5ConfPath);
hasKrb5 = true;
}
// register Flink Jar with remote HDFS
final LocalResource flinkJar;
{
Path remoteJarPath = new Path(remoteFlinkJarPath);
FileSystem fs = remoteJarPath.getFileSystem(yarnConfig);
flinkJar = registerLocalResource(fs, remoteJarPath);
}
// register conf with local fs
final LocalResource flinkConf;
{
// write the TaskManager configuration to a local file
final File taskManagerConfigFile =
new File(workingDirectory, UUID.randomUUID() + "-taskmanager-conf.yaml");
log.debug("Writing TaskManager configuration to {}", taskManagerConfigFile.getAbsolutePath());
BootstrapTools.writeConfiguration(taskManagerConfig, taskManagerConfigFile);
try {
Path homeDirPath = new Path(clientHomeDir);
FileSystem fs = homeDirPath.getFileSystem(yarnConfig);
flinkConf = setupLocalResource(
fs,
appId,
new Path(taskManagerConfigFile.toURI()),
homeDirPath,
"").f1;
log.debug("Prepared local resource for modified yaml: {}", flinkConf);
} finally {
try {
FileUtils.deleteFileOrDirectory(taskManagerConfigFile);
} catch (IOException e) {
log.info("Could not delete temporary configuration file " +
taskManagerConfigFile.getAbsolutePath() + '.', e);
}
}
}
Map<String, LocalResource> taskManagerLocalResources = new HashMap<>();
taskManagerLocalResources.put("flink.jar", flinkJar);
taskManagerLocalResources.put("flink-conf.yaml", flinkConf);
//To support Yarn Secure Integration Test Scenario
if (yarnConfResource != null && krb5ConfResource != null) {
taskManagerLocalResources.put(YARN_SITE_FILE_NAME, yarnConfResource);
taskManagerLocalResources.put(KRB5_FILE_NAME, krb5ConfResource);
}
if (keytabResource != null) {
taskManagerLocalResources.put(KEYTAB_FILE_NAME, keytabResource);
}
// prepare additional files to be shipped
for (String pathStr : shipListString.split(",")) {
if (!pathStr.isEmpty()) {
String[] keyAndPath = pathStr.split("=");
require(keyAndPath.length == 2, "Invalid entry in ship file list: %s", pathStr);
Path path = new Path(keyAndPath[1]);
LocalResource resource = registerLocalResource(path.getFileSystem(yarnConfig), path);
taskManagerLocalResources.put(keyAndPath[0], resource);
}
}
// now that all resources are prepared, we can create the launch context
log.info("Creating container launch context for TaskManagers");
boolean hasLogback = new File(workingDirectory, "logback.xml").exists();
boolean hasLog4j = new File(workingDirectory, "log4j.properties").exists();
String launchCommand = BootstrapTools.getTaskManagerShellCommand(
flinkConfig, tmParams, ".", ApplicationConstants.LOG_DIR_EXPANSION_VAR,
hasLogback, hasLog4j, hasKrb5, taskManagerMainClass);
if (log.isDebugEnabled()) {
log.debug("Starting TaskManagers with command: " + launchCommand);
} else {
log.info("Starting TaskManagers");
}
ContainerLaunchContext ctx = Records.newRecord(ContainerLaunchContext.class);
ctx.setCommands(Collections.singletonList(launchCommand));
ctx.setLocalResources(taskManagerLocalResources);
Map<String, String> containerEnv = new HashMap<>();
containerEnv.putAll(tmParams.taskManagerEnv());
// add YARN classpath, etc to the container environment
containerEnv.put(ENV_FLINK_CLASSPATH, classPathString);
setupYarnClassPath(yarnConfig, containerEnv);
containerEnv.put(YarnConfigKeys.ENV_HADOOP_USER_NAME, UserGroupInformation.getCurrentUser().getUserName());
if (remoteKeytabPath != null && remoteKeytabPrincipal != null) {
containerEnv.put(YarnConfigKeys.KEYTAB_PATH, remoteKeytabPath);
containerEnv.put(YarnConfigKeys.KEYTAB_PRINCIPAL, remoteKeytabPrincipal);
}
ctx.setEnvironment(containerEnv);
// For TaskManager YARN container context, read the tokens from the jobmanager yarn container local file.
// NOTE: must read the tokens from the local file, not from the UGI context, because if UGI is login
// using Kerberos keytabs, there is no HDFS delegation token in the UGI context.
final String fileLocation = System.getenv(UserGroupInformation.HADOOP_TOKEN_FILE_LOCATION);
if (fileLocation != null) {
log.debug("Adding security tokens to TaskExecutor's container launch context.");
try (DataOutputBuffer dob = new DataOutputBuffer()) {
Method readTokenStorageFileMethod = Credentials.class.getMethod(
"readTokenStorageFile", File.class, org.apache.hadoop.conf.Configuration.class);
Credentials cred =
(Credentials) readTokenStorageFileMethod.invoke(
null,
new File(fileLocation),
HadoopUtils.getHadoopConfiguration(flinkConfig));
cred.writeTokenStorageToStream(dob);
ByteBuffer securityTokens = ByteBuffer.wrap(dob.getData(), 0, dob.getLength());
ctx.setTokens(securityTokens);
} catch (Throwable t) {
log.error("Failed to add Hadoop's security tokens.", t);
}
} else {
log.info("Could not set security tokens because Hadoop's token file location is unknown.");
}
return ctx;
}
|
java
|
static ContainerLaunchContext createTaskExecutorContext(
org.apache.flink.configuration.Configuration flinkConfig,
YarnConfiguration yarnConfig,
Map<String, String> env,
ContaineredTaskManagerParameters tmParams,
org.apache.flink.configuration.Configuration taskManagerConfig,
String workingDirectory,
Class<?> taskManagerMainClass,
Logger log) throws Exception {
// get and validate all relevant variables
String remoteFlinkJarPath = env.get(YarnConfigKeys.FLINK_JAR_PATH);
require(remoteFlinkJarPath != null, "Environment variable %s not set", YarnConfigKeys.FLINK_JAR_PATH);
String appId = env.get(YarnConfigKeys.ENV_APP_ID);
require(appId != null, "Environment variable %s not set", YarnConfigKeys.ENV_APP_ID);
String clientHomeDir = env.get(YarnConfigKeys.ENV_CLIENT_HOME_DIR);
require(clientHomeDir != null, "Environment variable %s not set", YarnConfigKeys.ENV_CLIENT_HOME_DIR);
String shipListString = env.get(YarnConfigKeys.ENV_CLIENT_SHIP_FILES);
require(shipListString != null, "Environment variable %s not set", YarnConfigKeys.ENV_CLIENT_SHIP_FILES);
String yarnClientUsername = env.get(YarnConfigKeys.ENV_HADOOP_USER_NAME);
require(yarnClientUsername != null, "Environment variable %s not set", YarnConfigKeys.ENV_HADOOP_USER_NAME);
final String remoteKeytabPath = env.get(YarnConfigKeys.KEYTAB_PATH);
final String remoteKeytabPrincipal = env.get(YarnConfigKeys.KEYTAB_PRINCIPAL);
final String remoteYarnConfPath = env.get(YarnConfigKeys.ENV_YARN_SITE_XML_PATH);
final String remoteKrb5Path = env.get(YarnConfigKeys.ENV_KRB5_PATH);
if (log.isDebugEnabled()) {
log.debug("TM:remote keytab path obtained {}", remoteKeytabPath);
log.debug("TM:remote keytab principal obtained {}", remoteKeytabPrincipal);
log.debug("TM:remote yarn conf path obtained {}", remoteYarnConfPath);
log.debug("TM:remote krb5 path obtained {}", remoteKrb5Path);
}
String classPathString = env.get(ENV_FLINK_CLASSPATH);
require(classPathString != null, "Environment variable %s not set", YarnConfigKeys.ENV_FLINK_CLASSPATH);
//register keytab
LocalResource keytabResource = null;
if (remoteKeytabPath != null) {
log.info("Adding keytab {} to the AM container local resource bucket", remoteKeytabPath);
Path keytabPath = new Path(remoteKeytabPath);
FileSystem fs = keytabPath.getFileSystem(yarnConfig);
keytabResource = registerLocalResource(fs, keytabPath);
}
//To support Yarn Secure Integration Test Scenario
LocalResource yarnConfResource = null;
LocalResource krb5ConfResource = null;
boolean hasKrb5 = false;
if (remoteYarnConfPath != null && remoteKrb5Path != null) {
log.info("TM:Adding remoteYarnConfPath {} to the container local resource bucket", remoteYarnConfPath);
Path yarnConfPath = new Path(remoteYarnConfPath);
FileSystem fs = yarnConfPath.getFileSystem(yarnConfig);
yarnConfResource = registerLocalResource(fs, yarnConfPath);
log.info("TM:Adding remoteKrb5Path {} to the container local resource bucket", remoteKrb5Path);
Path krb5ConfPath = new Path(remoteKrb5Path);
fs = krb5ConfPath.getFileSystem(yarnConfig);
krb5ConfResource = registerLocalResource(fs, krb5ConfPath);
hasKrb5 = true;
}
// register Flink Jar with remote HDFS
final LocalResource flinkJar;
{
Path remoteJarPath = new Path(remoteFlinkJarPath);
FileSystem fs = remoteJarPath.getFileSystem(yarnConfig);
flinkJar = registerLocalResource(fs, remoteJarPath);
}
// register conf with local fs
final LocalResource flinkConf;
{
// write the TaskManager configuration to a local file
final File taskManagerConfigFile =
new File(workingDirectory, UUID.randomUUID() + "-taskmanager-conf.yaml");
log.debug("Writing TaskManager configuration to {}", taskManagerConfigFile.getAbsolutePath());
BootstrapTools.writeConfiguration(taskManagerConfig, taskManagerConfigFile);
try {
Path homeDirPath = new Path(clientHomeDir);
FileSystem fs = homeDirPath.getFileSystem(yarnConfig);
flinkConf = setupLocalResource(
fs,
appId,
new Path(taskManagerConfigFile.toURI()),
homeDirPath,
"").f1;
log.debug("Prepared local resource for modified yaml: {}", flinkConf);
} finally {
try {
FileUtils.deleteFileOrDirectory(taskManagerConfigFile);
} catch (IOException e) {
log.info("Could not delete temporary configuration file " +
taskManagerConfigFile.getAbsolutePath() + '.', e);
}
}
}
Map<String, LocalResource> taskManagerLocalResources = new HashMap<>();
taskManagerLocalResources.put("flink.jar", flinkJar);
taskManagerLocalResources.put("flink-conf.yaml", flinkConf);
//To support Yarn Secure Integration Test Scenario
if (yarnConfResource != null && krb5ConfResource != null) {
taskManagerLocalResources.put(YARN_SITE_FILE_NAME, yarnConfResource);
taskManagerLocalResources.put(KRB5_FILE_NAME, krb5ConfResource);
}
if (keytabResource != null) {
taskManagerLocalResources.put(KEYTAB_FILE_NAME, keytabResource);
}
// prepare additional files to be shipped
for (String pathStr : shipListString.split(",")) {
if (!pathStr.isEmpty()) {
String[] keyAndPath = pathStr.split("=");
require(keyAndPath.length == 2, "Invalid entry in ship file list: %s", pathStr);
Path path = new Path(keyAndPath[1]);
LocalResource resource = registerLocalResource(path.getFileSystem(yarnConfig), path);
taskManagerLocalResources.put(keyAndPath[0], resource);
}
}
// now that all resources are prepared, we can create the launch context
log.info("Creating container launch context for TaskManagers");
boolean hasLogback = new File(workingDirectory, "logback.xml").exists();
boolean hasLog4j = new File(workingDirectory, "log4j.properties").exists();
String launchCommand = BootstrapTools.getTaskManagerShellCommand(
flinkConfig, tmParams, ".", ApplicationConstants.LOG_DIR_EXPANSION_VAR,
hasLogback, hasLog4j, hasKrb5, taskManagerMainClass);
if (log.isDebugEnabled()) {
log.debug("Starting TaskManagers with command: " + launchCommand);
} else {
log.info("Starting TaskManagers");
}
ContainerLaunchContext ctx = Records.newRecord(ContainerLaunchContext.class);
ctx.setCommands(Collections.singletonList(launchCommand));
ctx.setLocalResources(taskManagerLocalResources);
Map<String, String> containerEnv = new HashMap<>();
containerEnv.putAll(tmParams.taskManagerEnv());
// add YARN classpath, etc to the container environment
containerEnv.put(ENV_FLINK_CLASSPATH, classPathString);
setupYarnClassPath(yarnConfig, containerEnv);
containerEnv.put(YarnConfigKeys.ENV_HADOOP_USER_NAME, UserGroupInformation.getCurrentUser().getUserName());
if (remoteKeytabPath != null && remoteKeytabPrincipal != null) {
containerEnv.put(YarnConfigKeys.KEYTAB_PATH, remoteKeytabPath);
containerEnv.put(YarnConfigKeys.KEYTAB_PRINCIPAL, remoteKeytabPrincipal);
}
ctx.setEnvironment(containerEnv);
// For TaskManager YARN container context, read the tokens from the jobmanager yarn container local file.
// NOTE: must read the tokens from the local file, not from the UGI context, because if UGI is login
// using Kerberos keytabs, there is no HDFS delegation token in the UGI context.
final String fileLocation = System.getenv(UserGroupInformation.HADOOP_TOKEN_FILE_LOCATION);
if (fileLocation != null) {
log.debug("Adding security tokens to TaskExecutor's container launch context.");
try (DataOutputBuffer dob = new DataOutputBuffer()) {
Method readTokenStorageFileMethod = Credentials.class.getMethod(
"readTokenStorageFile", File.class, org.apache.hadoop.conf.Configuration.class);
Credentials cred =
(Credentials) readTokenStorageFileMethod.invoke(
null,
new File(fileLocation),
HadoopUtils.getHadoopConfiguration(flinkConfig));
cred.writeTokenStorageToStream(dob);
ByteBuffer securityTokens = ByteBuffer.wrap(dob.getData(), 0, dob.getLength());
ctx.setTokens(securityTokens);
} catch (Throwable t) {
log.error("Failed to add Hadoop's security tokens.", t);
}
} else {
log.info("Could not set security tokens because Hadoop's token file location is unknown.");
}
return ctx;
}
|
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] |
Creates the launch context, which describes how to bring up a TaskExecutor / TaskManager process in
an allocated YARN container.
<p>This code is extremely YARN specific and registers all the resources that the TaskExecutor
needs (such as JAR file, config file, ...) and all environment variables in a YARN
container launch context. The launch context then ensures that those resources will be
copied into the containers transient working directory.
@param flinkConfig
The Flink configuration object.
@param yarnConfig
The YARN configuration object.
@param env
The environment variables.
@param tmParams
The TaskExecutor container memory parameters.
@param taskManagerConfig
The configuration for the TaskExecutors.
@param workingDirectory
The current application master container's working directory.
@param taskManagerMainClass
The class with the main method.
@param log
The logger.
@return The launch context for the TaskManager processes.
@throws Exception Thrown if the launch context could not be created, for example if
the resources could not be copied.
|
[
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"the",
"launch",
"context",
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"describes",
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"a",
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"/",
"TaskManager",
"process",
"in",
"an",
"allocated",
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"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-yarn/src/main/java/org/apache/flink/yarn/Utils.java#L380-L579
|
train
|
Create a new container executor context.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/net/NetworkUtils.java
|
NetworkUtils.getNonLoopbackAddressOfThisMachine
|
public String getNonLoopbackAddressOfThisMachine() {
InetAddress ip4NonLoopbackAddressOfThisMachine = getIp4NonLoopbackAddressOfThisMachine();
if (! Objects.equals(cachedIp4NonLoopbackAddressOfThisMachine, ip4NonLoopbackAddressOfThisMachine)) {
cachedIp4NonLoopbackAddressOfThisMachine = ip4NonLoopbackAddressOfThisMachine;
cachedIp4NonLoopbackAddressHostName = ip4NonLoopbackAddressOfThisMachine.getHostName();
}
return cachedIp4NonLoopbackAddressHostName;
}
|
java
|
public String getNonLoopbackAddressOfThisMachine() {
InetAddress ip4NonLoopbackAddressOfThisMachine = getIp4NonLoopbackAddressOfThisMachine();
if (! Objects.equals(cachedIp4NonLoopbackAddressOfThisMachine, ip4NonLoopbackAddressOfThisMachine)) {
cachedIp4NonLoopbackAddressOfThisMachine = ip4NonLoopbackAddressOfThisMachine;
cachedIp4NonLoopbackAddressHostName = ip4NonLoopbackAddressOfThisMachine.getHostName();
}
return cachedIp4NonLoopbackAddressHostName;
}
|
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Used by the mobile emulators that refuse to access localhost or 127.0.0.1 The IP4/IP6
requirements of this method are as-of-yet unspecified, but we return the string that is
associated with the IP4 interface
@return A String representing the host name or non-loopback IP4 address of this machine.
|
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/net/NetworkUtils.java#L84-L91
|
train
|
Get the Non - loopback address of this machine.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/ftp/Ftp.java
|
Ftp.lsFiles
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public FTPFile[] lsFiles(String path){
String pwd = null;
if(StrUtil.isNotBlank(path)) {
pwd = pwd();
cd(path);
}
FTPFile[] ftpFiles;
try {
ftpFiles = this.client.listFiles();
} catch (IOException e) {
throw new FtpException(e);
}
if(StrUtil.isNotBlank(pwd)) {
// 回到原目录
cd(pwd);
}
return ftpFiles;
}
|
java
|
public FTPFile[] lsFiles(String path){
String pwd = null;
if(StrUtil.isNotBlank(path)) {
pwd = pwd();
cd(path);
}
FTPFile[] ftpFiles;
try {
ftpFiles = this.client.listFiles();
} catch (IOException e) {
throw new FtpException(e);
}
if(StrUtil.isNotBlank(pwd)) {
// 回到原目录
cd(pwd);
}
return ftpFiles;
}
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")",
"{",
"// 回到原目录\r",
"cd",
"(",
"pwd",
")",
";",
"}",
"return",
"ftpFiles",
";",
"}"
] |
遍历某个目录下所有文件和目录，不会递归遍历
@param path 目录
@return 文件或目录列表
|
[
"遍历某个目录下所有文件和目录，不会递归遍历"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/ftp/Ftp.java#L250-L270
|
train
|
Gets the contents of a directory and its contents.
|
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] |
apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/hooks/MasterHooks.java
|
MasterHooks.restoreMasterHooks
|
public static void restoreMasterHooks(
final Map<String, MasterTriggerRestoreHook<?>> masterHooks,
final Collection<MasterState> states,
final long checkpointId,
final boolean allowUnmatchedState,
final Logger log) throws FlinkException {
// early out
if (states == null || states.isEmpty() || masterHooks == null || masterHooks.isEmpty()) {
log.info("No master state to restore");
return;
}
log.info("Calling master restore hooks");
// collect the hooks
final LinkedHashMap<String, MasterTriggerRestoreHook<?>> allHooks = new LinkedHashMap<>(masterHooks);
// first, deserialize all hook state
final ArrayList<Tuple2<MasterTriggerRestoreHook<?>, Object>> hooksAndStates = new ArrayList<>();
for (MasterState state : states) {
if (state != null) {
final String name = state.name();
final MasterTriggerRestoreHook<?> hook = allHooks.remove(name);
if (hook != null) {
log.debug("Found state to restore for hook '{}'", name);
Object deserializedState = deserializeState(state, hook);
hooksAndStates.add(new Tuple2<>(hook, deserializedState));
}
else if (!allowUnmatchedState) {
throw new IllegalStateException("Found state '" + state.name() +
"' which is not resumed by any hook.");
}
else {
log.info("Dropping unmatched state from '{}'", name);
}
}
}
// now that all is deserialized, call the hooks
for (Tuple2<MasterTriggerRestoreHook<?>, Object> hookAndState : hooksAndStates) {
restoreHook(hookAndState.f1, hookAndState.f0, checkpointId);
}
// trigger the remaining hooks without checkpointed state
for (MasterTriggerRestoreHook<?> hook : allHooks.values()) {
restoreHook(null, hook, checkpointId);
}
}
|
java
|
public static void restoreMasterHooks(
final Map<String, MasterTriggerRestoreHook<?>> masterHooks,
final Collection<MasterState> states,
final long checkpointId,
final boolean allowUnmatchedState,
final Logger log) throws FlinkException {
// early out
if (states == null || states.isEmpty() || masterHooks == null || masterHooks.isEmpty()) {
log.info("No master state to restore");
return;
}
log.info("Calling master restore hooks");
// collect the hooks
final LinkedHashMap<String, MasterTriggerRestoreHook<?>> allHooks = new LinkedHashMap<>(masterHooks);
// first, deserialize all hook state
final ArrayList<Tuple2<MasterTriggerRestoreHook<?>, Object>> hooksAndStates = new ArrayList<>();
for (MasterState state : states) {
if (state != null) {
final String name = state.name();
final MasterTriggerRestoreHook<?> hook = allHooks.remove(name);
if (hook != null) {
log.debug("Found state to restore for hook '{}'", name);
Object deserializedState = deserializeState(state, hook);
hooksAndStates.add(new Tuple2<>(hook, deserializedState));
}
else if (!allowUnmatchedState) {
throw new IllegalStateException("Found state '" + state.name() +
"' which is not resumed by any hook.");
}
else {
log.info("Dropping unmatched state from '{}'", name);
}
}
}
// now that all is deserialized, call the hooks
for (Tuple2<MasterTriggerRestoreHook<?>, Object> hookAndState : hooksAndStates) {
restoreHook(hookAndState.f1, hookAndState.f0, checkpointId);
}
// trigger the remaining hooks without checkpointed state
for (MasterTriggerRestoreHook<?> hook : allHooks.values()) {
restoreHook(null, hook, checkpointId);
}
}
|
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] |
Calls the restore method given checkpoint master hooks and passes the given master
state to them where state with a matching name is found.
<p>If state is found and no hook with the same name is found, the method throws an
exception, unless the {@code allowUnmatchedState} flag is set.
@param masterHooks The hooks to call restore on
@param states The state to pass to the hooks
@param checkpointId The checkpoint ID of the restored checkpoint
@param allowUnmatchedState If true, the method fails if not all states are picked up by a hook.
@param log The logger for log messages
@throws FlinkException Thrown, if the hooks throw an exception, or the state+
deserialization fails.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/hooks/MasterHooks.java#L225-L276
|
train
|
Restore the master hooks.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.groupReduceOnEdges
|
public <T> DataSet<T> groupReduceOnEdges(EdgesFunctionWithVertexValue<K, VV, EV, T> edgesFunction,
EdgeDirection direction) throws IllegalArgumentException {
switch (direction) {
case IN:
return vertices.coGroup(edges).where(0).equalTo(1)
.with(new ApplyCoGroupFunction<>(edgesFunction)).name("GroupReduce on in-edges");
case OUT:
return vertices.coGroup(edges).where(0).equalTo(0)
.with(new ApplyCoGroupFunction<>(edgesFunction)).name("GroupReduce on out-edges");
case ALL:
return vertices.coGroup(edges.flatMap(new EmitOneEdgePerNode<>())
.name("Emit edge"))
.where(0).equalTo(0).with(new ApplyCoGroupFunctionOnAllEdges<>(edgesFunction))
.name("GroupReduce on in- and out-edges");
default:
throw new IllegalArgumentException("Illegal edge direction");
}
}
|
java
|
public <T> DataSet<T> groupReduceOnEdges(EdgesFunctionWithVertexValue<K, VV, EV, T> edgesFunction,
EdgeDirection direction) throws IllegalArgumentException {
switch (direction) {
case IN:
return vertices.coGroup(edges).where(0).equalTo(1)
.with(new ApplyCoGroupFunction<>(edgesFunction)).name("GroupReduce on in-edges");
case OUT:
return vertices.coGroup(edges).where(0).equalTo(0)
.with(new ApplyCoGroupFunction<>(edgesFunction)).name("GroupReduce on out-edges");
case ALL:
return vertices.coGroup(edges.flatMap(new EmitOneEdgePerNode<>())
.name("Emit edge"))
.where(0).equalTo(0).with(new ApplyCoGroupFunctionOnAllEdges<>(edgesFunction))
.name("GroupReduce on in- and out-edges");
default:
throw new IllegalArgumentException("Illegal edge direction");
}
}
|
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Groups by vertex and computes a GroupReduce transformation over the edge values of each vertex.
The edgesFunction applied on the edges has access to both the id and the value
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<p>For each vertex, the edgesFunction can iterate over all edges of this vertex
with the specified direction, and emit any number of output elements, including none.
@param edgesFunction the group reduce function to apply to the neighboring edges of each vertex.
@param direction the edge direction (in-, out-, all-).
@param <T> the output 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#L1006-L1024
|
train
|
Group reduce on edges.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/WeightedFairQueueByteDistributor.java
|
WeightedFairQueueByteDistributor.isChild
|
boolean isChild(int childId, int parentId, short weight) {
State parent = state(parentId);
State child;
return parent.children.containsKey(childId) &&
(child = state(childId)).parent == parent && child.weight == weight;
}
|
java
|
boolean isChild(int childId, int parentId, short weight) {
State parent = state(parentId);
State child;
return parent.children.containsKey(childId) &&
(child = state(childId)).parent == parent && child.weight == weight;
}
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For testing only!
|
[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/WeightedFairQueueByteDistributor.java#L357-L362
|
train
|
Is child.
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlDateTimeUtils.java
|
SqlDateTimeUtils.dateFormat
|
public static String dateFormat(String dateStr, String fromFormat, String toFormat, TimeZone tz) {
SimpleDateFormat fromFormatter = FORMATTER_CACHE.get(fromFormat);
fromFormatter.setTimeZone(tz);
SimpleDateFormat toFormatter = FORMATTER_CACHE.get(toFormat);
toFormatter.setTimeZone(tz);
try {
return toFormatter.format(fromFormatter.parse(dateStr));
} catch (ParseException e) {
LOG.error("Exception when formatting: '" + dateStr +
"' from: '" + fromFormat + "' to: '" + toFormat + "'", e);
return null;
}
}
|
java
|
public static String dateFormat(String dateStr, String fromFormat, String toFormat, TimeZone tz) {
SimpleDateFormat fromFormatter = FORMATTER_CACHE.get(fromFormat);
fromFormatter.setTimeZone(tz);
SimpleDateFormat toFormatter = FORMATTER_CACHE.get(toFormat);
toFormatter.setTimeZone(tz);
try {
return toFormatter.format(fromFormatter.parse(dateStr));
} catch (ParseException e) {
LOG.error("Exception when formatting: '" + dateStr +
"' from: '" + fromFormat + "' to: '" + toFormat + "'", e);
return null;
}
}
|
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Format a string datetime as specific.
@param dateStr the string datetime.
@param fromFormat the original date format.
@param toFormat the target date format.
@param tz the time zone.
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlDateTimeUtils.java#L340-L352
|
train
|
Format a date string using the given formats.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/seg/WordBasedSegment.java
|
WordBasedSegment.mergeContinueNumIntoOne
|
private static void mergeContinueNumIntoOne(List<Vertex> linkedArray)
{
if (linkedArray.size() < 2)
return;
ListIterator<Vertex> listIterator = linkedArray.listIterator();
Vertex next = listIterator.next();
Vertex current = next;
while (listIterator.hasNext())
{
next = listIterator.next();
// System.out.println("current:" + current + " next:" + next);
if ((TextUtility.isAllNum(current.realWord) || TextUtility.isAllChineseNum(current.realWord)) && (TextUtility.isAllNum(next.realWord) || TextUtility.isAllChineseNum(next.realWord)))
{
/////////// 这部分从逻辑上等同于current.realWord = current.realWord + next.realWord;
// 但是current指针被几个路径共享，需要备份，不然修改了一处就修改了全局
current = Vertex.newNumberInstance(current.realWord + next.realWord);
listIterator.previous();
listIterator.previous();
listIterator.set(current);
listIterator.next();
listIterator.next();
/////////// end 这部分
// System.out.println("before:" + linkedArray);
listIterator.remove();
// System.out.println("after:" + linkedArray);
}
else
{
current = next;
}
}
// logger.trace("数字识别后：" + Graph.parseResult(linkedArray));
}
|
java
|
private static void mergeContinueNumIntoOne(List<Vertex> linkedArray)
{
if (linkedArray.size() < 2)
return;
ListIterator<Vertex> listIterator = linkedArray.listIterator();
Vertex next = listIterator.next();
Vertex current = next;
while (listIterator.hasNext())
{
next = listIterator.next();
// System.out.println("current:" + current + " next:" + next);
if ((TextUtility.isAllNum(current.realWord) || TextUtility.isAllChineseNum(current.realWord)) && (TextUtility.isAllNum(next.realWord) || TextUtility.isAllChineseNum(next.realWord)))
{
/////////// 这部分从逻辑上等同于current.realWord = current.realWord + next.realWord;
// 但是current指针被几个路径共享，需要备份，不然修改了一处就修改了全局
current = Vertex.newNumberInstance(current.realWord + next.realWord);
listIterator.previous();
listIterator.previous();
listIterator.set(current);
listIterator.next();
listIterator.next();
/////////// end 这部分
// System.out.println("before:" + linkedArray);
listIterator.remove();
// System.out.println("after:" + linkedArray);
}
else
{
current = next;
}
}
// logger.trace("数字识别后：" + Graph.parseResult(linkedArray));
}
|
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"}"
] |
将连续的数字节点合并为一个
@param linkedArray
|
[
"将连续的数字节点合并为一个"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/seg/WordBasedSegment.java#L345-L379
|
train
|
Merge continue num into one.
|
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30526
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looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelWriter.java
|
ExcelWriter.getInitedAliasComparator
|
private Comparator<String> getInitedAliasComparator() {
if (MapUtil.isEmpty(this.headerAlias)) {
return null;
}
Comparator<String> aliasComparator = this.aliasComparator;
if (null == aliasComparator) {
Set<String> keySet = this.headerAlias.keySet();
aliasComparator = new IndexedComparator<>(keySet.toArray(new String[keySet.size()]));
this.aliasComparator = aliasComparator;
}
return aliasComparator;
}
|
java
|
private Comparator<String> getInitedAliasComparator() {
if (MapUtil.isEmpty(this.headerAlias)) {
return null;
}
Comparator<String> aliasComparator = this.aliasComparator;
if (null == aliasComparator) {
Set<String> keySet = this.headerAlias.keySet();
aliasComparator = new IndexedComparator<>(keySet.toArray(new String[keySet.size()]));
this.aliasComparator = aliasComparator;
}
return aliasComparator;
}
|
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] |
获取单例的别名比较器，比较器的顺序为别名加入的顺序
@return Comparator
@since 4.1.5
|
[
"获取单例的别名比较器，比较器的顺序为别名加入的顺序"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelWriter.java#L901-L912
|
train
|
Gets the initialized aliasComparator.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/rpc/akka/AkkaInvocationHandler.java
|
AkkaInvocationHandler.extractRpcTimeout
|
private static Time extractRpcTimeout(Annotation[][] parameterAnnotations, Object[] args, Time defaultTimeout) {
if (args != null) {
Preconditions.checkArgument(parameterAnnotations.length == args.length);
for (int i = 0; i < parameterAnnotations.length; i++) {
if (isRpcTimeout(parameterAnnotations[i])) {
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throw new RuntimeException("The rpc timeout parameter must be of type " +
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}
}
}
}
return defaultTimeout;
}
|
java
|
private static Time extractRpcTimeout(Annotation[][] parameterAnnotations, Object[] args, Time defaultTimeout) {
if (args != null) {
Preconditions.checkArgument(parameterAnnotations.length == args.length);
for (int i = 0; i < parameterAnnotations.length; i++) {
if (isRpcTimeout(parameterAnnotations[i])) {
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return (Time) args[i];
} else {
throw new RuntimeException("The rpc timeout parameter must be of type " +
Time.class.getName() + ". The type " + args[i].getClass().getName() +
" is not supported.");
}
}
}
}
return defaultTimeout;
}
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Extracts the {@link RpcTimeout} annotated rpc timeout value from the list of given method
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@param parameterAnnotations Parameter annotations
@param args Array of arguments
@param defaultTimeout Default timeout to return if no {@link RpcTimeout} annotated parameter
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@return Timeout extracted from the array of arguments or the default timeout
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rpc/akka/AkkaInvocationHandler.java#L298-L316
|
train
|
Extract the rpc timeout from the arguments.
|
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netty/netty
|
common/src/main/java/io/netty/util/HashedWheelTimer.java
|
HashedWheelTimer.start
|
public void start() {
switch (WORKER_STATE_UPDATER.get(this)) {
case WORKER_STATE_INIT:
if (WORKER_STATE_UPDATER.compareAndSet(this, WORKER_STATE_INIT, WORKER_STATE_STARTED)) {
workerThread.start();
}
break;
case WORKER_STATE_STARTED:
break;
case WORKER_STATE_SHUTDOWN:
throw new IllegalStateException("cannot be started once stopped");
default:
throw new Error("Invalid WorkerState");
}
// Wait until the startTime is initialized by the worker.
while (startTime == 0) {
try {
startTimeInitialized.await();
} catch (InterruptedException ignore) {
// Ignore - it will be ready very soon.
}
}
}
|
java
|
public void start() {
switch (WORKER_STATE_UPDATER.get(this)) {
case WORKER_STATE_INIT:
if (WORKER_STATE_UPDATER.compareAndSet(this, WORKER_STATE_INIT, WORKER_STATE_STARTED)) {
workerThread.start();
}
break;
case WORKER_STATE_STARTED:
break;
case WORKER_STATE_SHUTDOWN:
throw new IllegalStateException("cannot be started once stopped");
default:
throw new Error("Invalid WorkerState");
}
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@throws IllegalStateException if this timer has been
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/HashedWheelTimer.java#L340-L363
|
train
|
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30526
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apache/flink
|
flink-connectors/flink-hbase/src/main/java/org/apache/flink/addons/hbase/TableInputFormat.java
|
TableInputFormat.configure
|
@Override
public void configure(Configuration parameters) {
table = createTable();
if (table != null) {
scan = getScanner();
}
}
|
java
|
@Override
public void configure(Configuration parameters) {
table = createTable();
if (table != null) {
scan = getScanner();
}
}
|
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Creates a {@link Scan} object and opens the {@link HTable} connection.
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which is called before the openInputFormat method.
So the connection is opened in {@link #configure(Configuration)} and closed in {@link #closeInputFormat()}.
@param parameters The configuration that is to be used
@see Configuration
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-hbase/src/main/java/org/apache/flink/addons/hbase/TableInputFormat.java#L67-L73
|
train
|
Override this to configure the table and scan.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java
|
TaskSlotTable.addTask
|
public boolean addTask(Task task) throws SlotNotFoundException, SlotNotActiveException {
Preconditions.checkNotNull(task);
TaskSlot taskSlot = getTaskSlot(task.getAllocationId());
if (taskSlot != null) {
if (taskSlot.isActive(task.getJobID(), task.getAllocationId())) {
if (taskSlot.add(task)) {
taskSlotMappings.put(task.getExecutionId(), new TaskSlotMapping(task, taskSlot));
return true;
} else {
return false;
}
} else {
throw new SlotNotActiveException(task.getJobID(), task.getAllocationId());
}
} else {
throw new SlotNotFoundException(task.getAllocationId());
}
}
|
java
|
public boolean addTask(Task task) throws SlotNotFoundException, SlotNotActiveException {
Preconditions.checkNotNull(task);
TaskSlot taskSlot = getTaskSlot(task.getAllocationId());
if (taskSlot != null) {
if (taskSlot.isActive(task.getJobID(), task.getAllocationId())) {
if (taskSlot.add(task)) {
taskSlotMappings.put(task.getExecutionId(), new TaskSlotMapping(task, taskSlot));
return true;
} else {
return false;
}
} else {
throw new SlotNotActiveException(task.getJobID(), task.getAllocationId());
}
} else {
throw new SlotNotFoundException(task.getAllocationId());
}
}
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Add the given task to the slot identified by the task's allocation id.
@param task to add to the task slot with the respective allocation id
@throws SlotNotFoundException if there was no slot for the given allocation id
@throws SlotNotActiveException if there was no slot active for task's job and allocation id
@return True if the task could be added to the task slot; 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#L471-L491
|
train
|
Adds a task to the task slot.
|
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alibaba/canal
|
client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/service/ESSyncService.java
|
ESSyncService.update
|
private void update(ESSyncConfig config, Dml dml) {
List<Map<String, Object>> dataList = dml.getData();
List<Map<String, Object>> oldList = dml.getOld();
if (dataList == null || dataList.isEmpty() || oldList == null || oldList.isEmpty()) {
return;
}
SchemaItem schemaItem = config.getEsMapping().getSchemaItem();
int i = 0;
for (Map<String, Object> data : dataList) {
Map<String, Object> old = oldList.get(i);
if (data == null || data.isEmpty() || old == null || old.isEmpty()) {
continue;
}
if (schemaItem.getAliasTableItems().size() == 1 && schemaItem.isAllFieldsSimple()) {
// ------单表 & 所有字段都为简单字段------
singleTableSimpleFiledUpdate(config, dml, data, old);
} else {
// ------主表 查询sql来更新------
if (schemaItem.getMainTable().getTableName().equalsIgnoreCase(dml.getTable())) {
ESMapping mapping = config.getEsMapping();
String idFieldName = mapping.get_id() == null ? mapping.getPk() : mapping.get_id();
FieldItem idFieldItem = schemaItem.getSelectFields().get(idFieldName);
boolean idFieldSimple = true;
if (idFieldItem.isMethod() || idFieldItem.isBinaryOp()) {
idFieldSimple = false;
}
boolean allUpdateFieldSimple = true;
out: for (FieldItem fieldItem : schemaItem.getSelectFields().values()) {
for (ColumnItem columnItem : fieldItem.getColumnItems()) {
if (old.containsKey(columnItem.getColumnName())) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allUpdateFieldSimple = false;
break out;
}
}
}
}
// 不支持主键更新!!
// 判断是否有外键更新
boolean fkChanged = false;
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
boolean changed = false;
for (List<FieldItem> fieldItems : tableItem.getRelationTableFields().values()) {
for (FieldItem fieldItem : fieldItems) {
if (old.containsKey(fieldItem.getColumn().getColumnName())) {
fkChanged = true;
changed = true;
break;
}
}
}
// 如果外键有修改,则更新所对应该表的所有查询条件数据
if (changed) {
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
fieldItem.getColumnItems()
.forEach(columnItem -> old.put(columnItem.getColumnName(), null));
}
}
}
// 判断主键和所更新的字段是否全为简单字段
if (idFieldSimple && allUpdateFieldSimple && !fkChanged) {
singleTableSimpleFiledUpdate(config, dml, data, old);
} else {
mainTableUpdate(config, dml, data, old);
}
}
// 从表的操作
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
if (!tableItem.getTableName().equals(dml.getTable())) {
continue;
}
// 关联条件出现在主表查询条件是否为简单字段
boolean allFieldsSimple = true;
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allFieldsSimple = false;
break;
}
}
// 所有查询字段均为简单字段
if (allFieldsSimple) {
// 不是子查询
if (!tableItem.isSubQuery()) {
// ------关联表简单字段更新------
Map<String, Object> esFieldData = new LinkedHashMap<>();
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (old.containsKey(fieldItem.getColumn().getColumnName())) {
Object value = esTemplate.getValFromData(config.getEsMapping(),
data,
fieldItem.getFieldName(),
fieldItem.getColumn().getColumnName());
esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), value);
}
}
joinTableSimpleFieldOperation(config, dml, data, tableItem, esFieldData);
} else {
// ------关联子表简单字段更新------
subTableSimpleFieldOperation(config, dml, data, old, tableItem);
}
} else {
// ------关联子表复杂字段更新 执行全sql更新es------
wholeSqlOperation(config, dml, data, old, tableItem);
}
}
}
i++;
}
}
|
java
|
private void update(ESSyncConfig config, Dml dml) {
List<Map<String, Object>> dataList = dml.getData();
List<Map<String, Object>> oldList = dml.getOld();
if (dataList == null || dataList.isEmpty() || oldList == null || oldList.isEmpty()) {
return;
}
SchemaItem schemaItem = config.getEsMapping().getSchemaItem();
int i = 0;
for (Map<String, Object> data : dataList) {
Map<String, Object> old = oldList.get(i);
if (data == null || data.isEmpty() || old == null || old.isEmpty()) {
continue;
}
if (schemaItem.getAliasTableItems().size() == 1 && schemaItem.isAllFieldsSimple()) {
// ------单表 & 所有字段都为简单字段------
singleTableSimpleFiledUpdate(config, dml, data, old);
} else {
// ------主表 查询sql来更新------
if (schemaItem.getMainTable().getTableName().equalsIgnoreCase(dml.getTable())) {
ESMapping mapping = config.getEsMapping();
String idFieldName = mapping.get_id() == null ? mapping.getPk() : mapping.get_id();
FieldItem idFieldItem = schemaItem.getSelectFields().get(idFieldName);
boolean idFieldSimple = true;
if (idFieldItem.isMethod() || idFieldItem.isBinaryOp()) {
idFieldSimple = false;
}
boolean allUpdateFieldSimple = true;
out: for (FieldItem fieldItem : schemaItem.getSelectFields().values()) {
for (ColumnItem columnItem : fieldItem.getColumnItems()) {
if (old.containsKey(columnItem.getColumnName())) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allUpdateFieldSimple = false;
break out;
}
}
}
}
// 不支持主键更新!!
// 判断是否有外键更新
boolean fkChanged = false;
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
boolean changed = false;
for (List<FieldItem> fieldItems : tableItem.getRelationTableFields().values()) {
for (FieldItem fieldItem : fieldItems) {
if (old.containsKey(fieldItem.getColumn().getColumnName())) {
fkChanged = true;
changed = true;
break;
}
}
}
// 如果外键有修改,则更新所对应该表的所有查询条件数据
if (changed) {
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
fieldItem.getColumnItems()
.forEach(columnItem -> old.put(columnItem.getColumnName(), null));
}
}
}
// 判断主键和所更新的字段是否全为简单字段
if (idFieldSimple && allUpdateFieldSimple && !fkChanged) {
singleTableSimpleFiledUpdate(config, dml, data, old);
} else {
mainTableUpdate(config, dml, data, old);
}
}
// 从表的操作
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
if (!tableItem.getTableName().equals(dml.getTable())) {
continue;
}
// 关联条件出现在主表查询条件是否为简单字段
boolean allFieldsSimple = true;
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allFieldsSimple = false;
break;
}
}
// 所有查询字段均为简单字段
if (allFieldsSimple) {
// 不是子查询
if (!tableItem.isSubQuery()) {
// ------关联表简单字段更新------
Map<String, Object> esFieldData = new LinkedHashMap<>();
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (old.containsKey(fieldItem.getColumn().getColumnName())) {
Object value = esTemplate.getValFromData(config.getEsMapping(),
data,
fieldItem.getFieldName(),
fieldItem.getColumn().getColumnName());
esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), value);
}
}
joinTableSimpleFieldOperation(config, dml, data, tableItem, esFieldData);
} else {
// ------关联子表简单字段更新------
subTableSimpleFieldOperation(config, dml, data, old, tableItem);
}
} else {
// ------关联子表复杂字段更新 执行全sql更新es------
wholeSqlOperation(config, dml, data, old, tableItem);
}
}
}
i++;
}
}
|
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] |
更新操作dml
@param config es配置
@param dml dml数据
|
[
"更新操作dml"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/service/ESSyncService.java#L193-L316
|
train
|
Update DML.
|
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apache/flink
|
flink-table/flink-table-common/src/main/java/org/apache/flink/table/factories/TableFormatFactoryBase.java
|
TableFormatFactoryBase.deriveSchema
|
public static TableSchema deriveSchema(Map<String, String> properties) {
final DescriptorProperties descriptorProperties = new DescriptorProperties();
descriptorProperties.putProperties(properties);
final TableSchema.Builder builder = TableSchema.builder();
final TableSchema baseSchema = descriptorProperties.getTableSchema(SCHEMA);
for (int i = 0; i < baseSchema.getFieldCount(); i++) {
final String fieldName = baseSchema.getFieldNames()[i];
final TypeInformation<?> fieldType = baseSchema.getFieldTypes()[i];
final boolean isProctime = descriptorProperties
.getOptionalBoolean(SCHEMA + '.' + i + '.' + SCHEMA_PROCTIME)
.orElse(false);
final String timestampKey = SCHEMA + '.' + i + '.' + ROWTIME_TIMESTAMPS_TYPE;
final boolean isRowtime = descriptorProperties.containsKey(timestampKey);
if (!isProctime && !isRowtime) {
// check for aliasing
final String aliasName = descriptorProperties
.getOptionalString(SCHEMA + '.' + i + '.' + SCHEMA_FROM)
.orElse(fieldName);
builder.field(aliasName, fieldType);
}
// only use the rowtime attribute if it references a field
else if (isRowtime &&
descriptorProperties.isValue(timestampKey, ROWTIME_TIMESTAMPS_TYPE_VALUE_FROM_FIELD)) {
final String aliasName = descriptorProperties
.getString(SCHEMA + '.' + i + '.' + ROWTIME_TIMESTAMPS_FROM);
builder.field(aliasName, fieldType);
}
}
return builder.build();
}
|
java
|
public static TableSchema deriveSchema(Map<String, String> properties) {
final DescriptorProperties descriptorProperties = new DescriptorProperties();
descriptorProperties.putProperties(properties);
final TableSchema.Builder builder = TableSchema.builder();
final TableSchema baseSchema = descriptorProperties.getTableSchema(SCHEMA);
for (int i = 0; i < baseSchema.getFieldCount(); i++) {
final String fieldName = baseSchema.getFieldNames()[i];
final TypeInformation<?> fieldType = baseSchema.getFieldTypes()[i];
final boolean isProctime = descriptorProperties
.getOptionalBoolean(SCHEMA + '.' + i + '.' + SCHEMA_PROCTIME)
.orElse(false);
final String timestampKey = SCHEMA + '.' + i + '.' + ROWTIME_TIMESTAMPS_TYPE;
final boolean isRowtime = descriptorProperties.containsKey(timestampKey);
if (!isProctime && !isRowtime) {
// check for aliasing
final String aliasName = descriptorProperties
.getOptionalString(SCHEMA + '.' + i + '.' + SCHEMA_FROM)
.orElse(fieldName);
builder.field(aliasName, fieldType);
}
// only use the rowtime attribute if it references a field
else if (isRowtime &&
descriptorProperties.isValue(timestampKey, ROWTIME_TIMESTAMPS_TYPE_VALUE_FROM_FIELD)) {
final String aliasName = descriptorProperties
.getString(SCHEMA + '.' + i + '.' + ROWTIME_TIMESTAMPS_FROM);
builder.field(aliasName, fieldType);
}
}
return builder.build();
}
|
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] |
Finds the table schema that can be used for a format schema (without time attributes).
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/factories/TableFormatFactoryBase.java#L131-L164
|
train
|
Derive the schema from the given properties.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/ExceptionUtils.java
|
ExceptionUtils.rethrowIOException
|
public static void rethrowIOException(Throwable t) throws IOException {
if (t instanceof IOException) {
throw (IOException) t;
}
else if (t instanceof RuntimeException) {
throw (RuntimeException) t;
}
else if (t instanceof Error) {
throw (Error) t;
}
else {
throw new IOException(t.getMessage(), t);
}
}
|
java
|
public static void rethrowIOException(Throwable t) throws IOException {
if (t instanceof IOException) {
throw (IOException) t;
}
else if (t instanceof RuntimeException) {
throw (RuntimeException) t;
}
else if (t instanceof Error) {
throw (Error) t;
}
else {
throw new IOException(t.getMessage(), t);
}
}
|
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Re-throws the given {@code Throwable} in scenarios where the signatures allows only IOExceptions
(and RuntimeException and Error).
<p>Throws this exception directly, if it is an IOException, a RuntimeException, or an Error. Otherwise it
wraps it in an IOException and throws it.
@param t The Throwable to be thrown.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/ExceptionUtils.java#L302-L315
|
train
|
Re - throws an IOException.
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30526
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostBodyUtil.java
|
HttpPostBodyUtil.findNonWhitespace
|
static int findNonWhitespace(String sb, int offset) {
int result;
for (result = offset; result < sb.length(); result ++) {
if (!Character.isWhitespace(sb.charAt(result))) {
break;
}
}
return result;
}
|
java
|
static int findNonWhitespace(String sb, int offset) {
int result;
for (result = offset; result < sb.length(); result ++) {
if (!Character.isWhitespace(sb.charAt(result))) {
break;
}
}
return result;
}
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Find the first non whitespace
@return the rank of the first non whitespace
|
[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostBodyUtil.java#L129-L137
|
train
|
Find the first non - whitespace character in the string.
|
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30526
] |
netty/netty
|
example/src/main/java/io/netty/example/ocsp/OcspRequestBuilder.java
|
OcspRequestBuilder.build
|
public OCSPReq build() throws OCSPException, IOException, CertificateEncodingException {
SecureRandom generator = checkNotNull(this.generator, "generator");
DigestCalculator calculator = checkNotNull(this.calculator, "calculator");
X509Certificate certificate = checkNotNull(this.certificate, "certificate");
X509Certificate issuer = checkNotNull(this.issuer, "issuer");
BigInteger serial = certificate.getSerialNumber();
CertificateID certId = new CertificateID(calculator,
new X509CertificateHolder(issuer.getEncoded()), serial);
OCSPReqBuilder builder = new OCSPReqBuilder();
builder.addRequest(certId);
byte[] nonce = new byte[8];
generator.nextBytes(nonce);
Extension[] extensions = new Extension[] {
new Extension(OCSPObjectIdentifiers.id_pkix_ocsp_nonce, false,
new DEROctetString(nonce)) };
builder.setRequestExtensions(new Extensions(extensions));
return builder.build();
}
|
java
|
public OCSPReq build() throws OCSPException, IOException, CertificateEncodingException {
SecureRandom generator = checkNotNull(this.generator, "generator");
DigestCalculator calculator = checkNotNull(this.calculator, "calculator");
X509Certificate certificate = checkNotNull(this.certificate, "certificate");
X509Certificate issuer = checkNotNull(this.issuer, "issuer");
BigInteger serial = certificate.getSerialNumber();
CertificateID certId = new CertificateID(calculator,
new X509CertificateHolder(issuer.getEncoded()), serial);
OCSPReqBuilder builder = new OCSPReqBuilder();
builder.addRequest(certId);
byte[] nonce = new byte[8];
generator.nextBytes(nonce);
Extension[] extensions = new Extension[] {
new Extension(OCSPObjectIdentifiers.id_pkix_ocsp_nonce, false,
new DEROctetString(nonce)) };
builder.setRequestExtensions(new Extensions(extensions));
return builder.build();
}
|
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] |
ATTENTION: The returned {@link OCSPReq} is not re-usable/cacheable! It contains a one-time nonce
and CA's will (should) reject subsequent requests that have the same nonce value.
|
[
"ATTENTION",
":",
"The",
"returned",
"{"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/example/src/main/java/io/netty/example/ocsp/OcspRequestBuilder.java#L79-L103
|
train
|
Build an OCSPReq object.
|
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/windowing/evictors/TimeEvictor.java
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TimeEvictor.hasTimestamp
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private boolean hasTimestamp(Iterable<TimestampedValue<Object>> elements) {
Iterator<TimestampedValue<Object>> it = elements.iterator();
if (it.hasNext()) {
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|
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private boolean hasTimestamp(Iterable<TimestampedValue<Object>> elements) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/netty/PartitionRequestClientHandler.java
|
PartitionRequestClientHandler.exceptionCaught
|
@Override
public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause) throws Exception {
if (cause instanceof TransportException) {
notifyAllChannelsOfErrorAndClose(cause);
}
else {
final SocketAddress remoteAddr = ctx.channel().remoteAddress();
final TransportException tex;
// Improve on the connection reset by peer error message
if (cause instanceof IOException
&& cause.getMessage().equals("Connection reset by peer")) {
tex = new RemoteTransportException(
"Lost connection to task manager '" + remoteAddr + "'. This indicates "
+ "that the remote task manager was lost.", remoteAddr, cause);
}
else {
SocketAddress localAddr = ctx.channel().localAddress();
tex = new LocalTransportException(
String.format("%s (connection to '%s')", cause.getMessage(), remoteAddr),
localAddr,
cause);
}
notifyAllChannelsOfErrorAndClose(tex);
}
}
|
java
|
@Override
public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause) throws Exception {
if (cause instanceof TransportException) {
notifyAllChannelsOfErrorAndClose(cause);
}
else {
final SocketAddress remoteAddr = ctx.channel().remoteAddress();
final TransportException tex;
// Improve on the connection reset by peer error message
if (cause instanceof IOException
&& cause.getMessage().equals("Connection reset by peer")) {
tex = new RemoteTransportException(
"Lost connection to task manager '" + remoteAddr + "'. This indicates "
+ "that the remote task manager was lost.", remoteAddr, cause);
}
else {
SocketAddress localAddr = ctx.channel().localAddress();
tex = new LocalTransportException(
String.format("%s (connection to '%s')", cause.getMessage(), remoteAddr),
localAddr,
cause);
}
notifyAllChannelsOfErrorAndClose(tex);
}
}
|
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Called on exceptions in the client handler pipeline.
<p> Remote exceptions are received as regular payload.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/netty/PartitionRequestClientHandler.java#L145-L174
|
train
|
Override exceptionCaught to handle TransportExceptions.
|
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spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/condition/ConditionMessage.java
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ConditionMessage.forCondition
|
public static Builder forCondition(String condition, Object... details) {
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java
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public static Builder forCondition(String condition, Object... details) {
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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/condition/ConditionMessage.java#L194-L196
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train
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Creates a builder for a condition message.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/swing/clipboard/ClipboardUtil.java
|
ClipboardUtil.get
|
public static Object get(Transferable content, DataFlavor flavor) {
if (null != content && content.isDataFlavorSupported(flavor)) {
try {
return content.getTransferData(flavor);
} catch (UnsupportedFlavorException | IOException e) {
throw new UtilException(e);
}
}
return null;
}
|
java
|
public static Object get(Transferable content, DataFlavor flavor) {
if (null != content && content.isDataFlavorSupported(flavor)) {
try {
return content.getTransferData(flavor);
} catch (UnsupportedFlavorException | IOException e) {
throw new UtilException(e);
}
}
return null;
}
|
[
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"content",
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获取剪贴板内容
@param content {@link Transferable}
@param flavor 数据元信息，标识数据类型
@return 剪贴板内容，类型根据flavor不同而不同
|
[
"获取剪贴板内容"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/swing/clipboard/ClipboardUtil.java#L68-L77
|
train
|
Gets the object that represents the specified transferable object with the specified data flavor.
|
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30526
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/KeyUtil.java
|
KeyUtil.getCertificateFactory
|
public static CertificateFactory getCertificateFactory(String type) {
final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider();
CertificateFactory factory;
try {
factory = (null == provider) ? CertificateFactory.getInstance(type) : CertificateFactory.getInstance(type, provider);
} catch (CertificateException e) {
throw new CryptoException(e);
}
return factory;
}
|
java
|
public static CertificateFactory getCertificateFactory(String type) {
final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider();
CertificateFactory factory;
try {
factory = (null == provider) ? CertificateFactory.getInstance(type) : CertificateFactory.getInstance(type, provider);
} catch (CertificateException e) {
throw new CryptoException(e);
}
return factory;
}
|
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] |
获取{@link CertificateFactory}
@param type 类型，例如X.509
@return {@link KeyPairGenerator}
@since 4.5.0
|
[
"获取",
"{",
"@link",
"CertificateFactory",
"}"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/KeyUtil.java#L723-L733
|
train
|
Gets the CertificateFactory for the given type.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/thread/GlobalThreadPool.java
|
GlobalThreadPool.execute
|
public static void execute(Runnable runnable) {
try {
executor.execute(runnable);
} catch (Exception e) {
throw new UtilException(e, "Exception when running task!");
}
}
|
java
|
public static void execute(Runnable runnable) {
try {
executor.execute(runnable);
} catch (Exception e) {
throw new UtilException(e, "Exception when running task!");
}
}
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直接在公共线程池中执行线程
@param runnable 可运行对象
|
[
"直接在公共线程池中执行线程"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/thread/GlobalThreadPool.java#L64-L70
|
train
|
Execute a Runnable.
|
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apache/spark
|
core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
|
TaskMemoryManager.cleanUpAllAllocatedMemory
|
public long cleanUpAllAllocatedMemory() {
synchronized (this) {
for (MemoryConsumer c: consumers) {
if (c != null && c.getUsed() > 0) {
// In case of failed task, it's normal to see leaked memory
logger.debug("unreleased " + Utils.bytesToString(c.getUsed()) + " memory from " + c);
}
}
consumers.clear();
for (MemoryBlock page : pageTable) {
if (page != null) {
logger.debug("unreleased page: " + page + " in task " + taskAttemptId);
page.pageNumber = MemoryBlock.FREED_IN_TMM_PAGE_NUMBER;
memoryManager.tungstenMemoryAllocator().free(page);
}
}
Arrays.fill(pageTable, null);
}
// release the memory that is not used by any consumer (acquired for pages in tungsten mode).
memoryManager.releaseExecutionMemory(acquiredButNotUsed, taskAttemptId, tungstenMemoryMode);
return memoryManager.releaseAllExecutionMemoryForTask(taskAttemptId);
}
|
java
|
public long cleanUpAllAllocatedMemory() {
synchronized (this) {
for (MemoryConsumer c: consumers) {
if (c != null && c.getUsed() > 0) {
// In case of failed task, it's normal to see leaked memory
logger.debug("unreleased " + Utils.bytesToString(c.getUsed()) + " memory from " + c);
}
}
consumers.clear();
for (MemoryBlock page : pageTable) {
if (page != null) {
logger.debug("unreleased page: " + page + " in task " + taskAttemptId);
page.pageNumber = MemoryBlock.FREED_IN_TMM_PAGE_NUMBER;
memoryManager.tungstenMemoryAllocator().free(page);
}
}
Arrays.fill(pageTable, null);
}
// release the memory that is not used by any consumer (acquired for pages in tungsten mode).
memoryManager.releaseExecutionMemory(acquiredButNotUsed, taskAttemptId, tungstenMemoryMode);
return memoryManager.releaseAllExecutionMemoryForTask(taskAttemptId);
}
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Clean up all allocated memory and pages. Returns the number of bytes freed. A non-zero return
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L428-L452
|
train
|
Clean up all allocated memory.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/common/typeinfo/Types.java
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Types.OBJECT_ARRAY
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@SuppressWarnings("unchecked")
public static <E> TypeInformation<E[]> OBJECT_ARRAY(TypeInformation<E> elementType) {
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|
java
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@SuppressWarnings("unchecked")
public static <E> TypeInformation<E[]> OBJECT_ARRAY(TypeInformation<E> elementType) {
if (elementType == Types.STRING) {
return (TypeInformation) BasicArrayTypeInfo.STRING_ARRAY_TYPE_INFO;
}
return ObjectArrayTypeInfo.getInfoFor(elementType);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java
|
TfIdf.tfIdf
|
public static <TERM> Map<TERM, Double> tfIdf(Map<TERM, Double> tf, Map<TERM, Double> idf)
{
return tfIdf(tf, idf, Normalization.NONE);
}
|
java
|
public static <TERM> Map<TERM, Double> tfIdf(Map<TERM, Double> tf, Map<TERM, Double> idf)
{
return tfIdf(tf, idf, Normalization.NONE);
}
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计算文档的tf-idf（不正规化）
@param tf 词频
@param idf 倒排频率
@param <TERM> 词语类型
@return 一个词语->tf-idf的Map
|
[
"计算文档的tf",
"-",
"idf（不正规化）"
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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java#L217-L220
|
train
|
Get the TF IDF map.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.join
|
public static String join(Object array, CharSequence conjunction) {
if (isArray(array)) {
final Class<?> componentType = array.getClass().getComponentType();
if (componentType.isPrimitive()) {
final String componentTypeName = componentType.getName();
switch (componentTypeName) {
case "long":
return join((long[]) array, conjunction);
case "int":
return join((int[]) array, conjunction);
case "short":
return join((short[]) array, conjunction);
case "char":
return join((char[]) array, conjunction);
case "byte":
return join((byte[]) array, conjunction);
case "boolean":
return join((boolean[]) array, conjunction);
case "float":
return join((float[]) array, conjunction);
case "double":
return join((double[]) array, conjunction);
default:
throw new UtilException("Unknown primitive type: [{}]", componentTypeName);
}
} else {
return join((Object[]) array, conjunction);
}
}
throw new UtilException(StrUtil.format("[{}] is not a Array!", array.getClass()));
}
|
java
|
public static String join(Object array, CharSequence conjunction) {
if (isArray(array)) {
final Class<?> componentType = array.getClass().getComponentType();
if (componentType.isPrimitive()) {
final String componentTypeName = componentType.getName();
switch (componentTypeName) {
case "long":
return join((long[]) array, conjunction);
case "int":
return join((int[]) array, conjunction);
case "short":
return join((short[]) array, conjunction);
case "char":
return join((char[]) array, conjunction);
case "byte":
return join((byte[]) array, conjunction);
case "boolean":
return join((boolean[]) array, conjunction);
case "float":
return join((float[]) array, conjunction);
case "double":
return join((double[]) array, conjunction);
default:
throw new UtilException("Unknown primitive type: [{}]", componentTypeName);
}
} else {
return join((Object[]) array, conjunction);
}
}
throw new UtilException(StrUtil.format("[{}] is not a Array!", array.getClass()));
}
|
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] |
以 conjunction 为分隔符将数组转换为字符串
@param array 数组
@param conjunction 分隔符
@return 连接后的字符串
|
[
"以",
"conjunction",
"为分隔符将数组转换为字符串"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L2541-L2571
|
train
|
Returns a String containing the elements of the specified array in the specified conjunction.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/net/URLEncoder.java
|
URLEncoder.encode
|
public String encode(String path, Charset charset) {
int maxBytesPerChar = 10;
final StringBuilder rewrittenPath = new StringBuilder(path.length());
ByteArrayOutputStream buf = new ByteArrayOutputStream(maxBytesPerChar);
OutputStreamWriter writer = new OutputStreamWriter(buf, charset);
int c;
for (int i = 0; i < path.length(); i++) {
c = path.charAt(i);
if (safeCharacters.get(c)) {
rewrittenPath.append((char) c);
} else if (encodeSpaceAsPlus && c == CharUtil.SPACE) {
// 对于空格单独处理
rewrittenPath.append('+');
} else {
// convert to external encoding before hex conversion
try {
writer.write((char) c);
writer.flush();
} catch (IOException e) {
buf.reset();
continue;
}
byte[] ba = buf.toByteArray();
for (int j = 0; j < ba.length; j++) {
// Converting each byte in the buffer
byte toEncode = ba[j];
rewrittenPath.append('%');
HexUtil.appendHex(rewrittenPath, toEncode, false);
}
buf.reset();
}
}
return rewrittenPath.toString();
}
|
java
|
public String encode(String path, Charset charset) {
int maxBytesPerChar = 10;
final StringBuilder rewrittenPath = new StringBuilder(path.length());
ByteArrayOutputStream buf = new ByteArrayOutputStream(maxBytesPerChar);
OutputStreamWriter writer = new OutputStreamWriter(buf, charset);
int c;
for (int i = 0; i < path.length(); i++) {
c = path.charAt(i);
if (safeCharacters.get(c)) {
rewrittenPath.append((char) c);
} else if (encodeSpaceAsPlus && c == CharUtil.SPACE) {
// 对于空格单独处理
rewrittenPath.append('+');
} else {
// convert to external encoding before hex conversion
try {
writer.write((char) c);
writer.flush();
} catch (IOException e) {
buf.reset();
continue;
}
byte[] ba = buf.toByteArray();
for (int j = 0; j < ba.length; j++) {
// Converting each byte in the buffer
byte toEncode = ba[j];
rewrittenPath.append('%');
HexUtil.appendHex(rewrittenPath, toEncode, false);
}
buf.reset();
}
}
return rewrittenPath.toString();
}
|
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] |
将URL中的字符串编码为%形式
@param path 需要编码的字符串
@param charset 编码
@return 编码后的字符串
|
[
"将URL中的字符串编码为%形式"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/net/URLEncoder.java#L196-L232
|
train
|
Encodes the given path using the given charset.
|
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apache/spark
|
core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java
|
UnsafeExternalSorter.getMemoryUsage
|
private long getMemoryUsage() {
long totalPageSize = 0;
for (MemoryBlock page : allocatedPages) {
totalPageSize += page.size();
}
return ((inMemSorter == null) ? 0 : inMemSorter.getMemoryUsage()) + totalPageSize;
}
|
java
|
private long getMemoryUsage() {
long totalPageSize = 0;
for (MemoryBlock page : allocatedPages) {
totalPageSize += page.size();
}
return ((inMemSorter == null) ? 0 : inMemSorter.getMemoryUsage()) + totalPageSize;
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java#L242-L248
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train
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Get the memory usage of the in - memory sorter.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/backpressure/StackTraceSampleCoordinator.java
|
StackTraceSampleCoordinator.triggerStackTraceSample
|
@SuppressWarnings("unchecked")
public CompletableFuture<StackTraceSample> triggerStackTraceSample(
ExecutionVertex[] tasksToSample,
int numSamples,
Time delayBetweenSamples,
int maxStackTraceDepth) {
checkNotNull(tasksToSample, "Tasks to sample");
checkArgument(tasksToSample.length >= 1, "No tasks to sample");
checkArgument(numSamples >= 1, "No number of samples");
checkArgument(maxStackTraceDepth >= 0, "Negative maximum stack trace depth");
// Execution IDs of running tasks
ExecutionAttemptID[] triggerIds = new ExecutionAttemptID[tasksToSample.length];
Execution[] executions = new Execution[tasksToSample.length];
// Check that all tasks are RUNNING before triggering anything. The
// triggering can still fail.
for (int i = 0; i < triggerIds.length; i++) {
Execution execution = tasksToSample[i].getCurrentExecutionAttempt();
if (execution != null && execution.getState() == ExecutionState.RUNNING) {
executions[i] = execution;
triggerIds[i] = execution.getAttemptId();
} else {
return FutureUtils.completedExceptionally(new IllegalStateException("Task " + tasksToSample[i]
.getTaskNameWithSubtaskIndex() + " is not running."));
}
}
synchronized (lock) {
if (isShutDown) {
return FutureUtils.completedExceptionally(new IllegalStateException("Shut down"));
}
final int sampleId = sampleIdCounter++;
LOG.debug("Triggering stack trace sample {}", sampleId);
final PendingStackTraceSample pending = new PendingStackTraceSample(
sampleId, triggerIds);
// Discard the sample if it takes too long. We don't send cancel
// messages to the task managers, but only wait for the responses
// and then ignore them.
long expectedDuration = numSamples * delayBetweenSamples.toMilliseconds();
Time timeout = Time.milliseconds(expectedDuration + sampleTimeout);
// Add the pending sample before scheduling the discard task to
// prevent races with removing it again.
pendingSamples.put(sampleId, pending);
// Trigger all samples
for (Execution execution: executions) {
final CompletableFuture<StackTraceSampleResponse> stackTraceSampleFuture = execution.requestStackTraceSample(
sampleId,
numSamples,
delayBetweenSamples,
maxStackTraceDepth,
timeout);
stackTraceSampleFuture.handleAsync(
(StackTraceSampleResponse stackTraceSampleResponse, Throwable throwable) -> {
if (stackTraceSampleResponse != null) {
collectStackTraces(
stackTraceSampleResponse.getSampleId(),
stackTraceSampleResponse.getExecutionAttemptID(),
stackTraceSampleResponse.getSamples());
} else {
cancelStackTraceSample(sampleId, throwable);
}
return null;
},
executor);
}
return pending.getStackTraceSampleFuture();
}
}
|
java
|
@SuppressWarnings("unchecked")
public CompletableFuture<StackTraceSample> triggerStackTraceSample(
ExecutionVertex[] tasksToSample,
int numSamples,
Time delayBetweenSamples,
int maxStackTraceDepth) {
checkNotNull(tasksToSample, "Tasks to sample");
checkArgument(tasksToSample.length >= 1, "No tasks to sample");
checkArgument(numSamples >= 1, "No number of samples");
checkArgument(maxStackTraceDepth >= 0, "Negative maximum stack trace depth");
// Execution IDs of running tasks
ExecutionAttemptID[] triggerIds = new ExecutionAttemptID[tasksToSample.length];
Execution[] executions = new Execution[tasksToSample.length];
// Check that all tasks are RUNNING before triggering anything. The
// triggering can still fail.
for (int i = 0; i < triggerIds.length; i++) {
Execution execution = tasksToSample[i].getCurrentExecutionAttempt();
if (execution != null && execution.getState() == ExecutionState.RUNNING) {
executions[i] = execution;
triggerIds[i] = execution.getAttemptId();
} else {
return FutureUtils.completedExceptionally(new IllegalStateException("Task " + tasksToSample[i]
.getTaskNameWithSubtaskIndex() + " is not running."));
}
}
synchronized (lock) {
if (isShutDown) {
return FutureUtils.completedExceptionally(new IllegalStateException("Shut down"));
}
final int sampleId = sampleIdCounter++;
LOG.debug("Triggering stack trace sample {}", sampleId);
final PendingStackTraceSample pending = new PendingStackTraceSample(
sampleId, triggerIds);
// Discard the sample if it takes too long. We don't send cancel
// messages to the task managers, but only wait for the responses
// and then ignore them.
long expectedDuration = numSamples * delayBetweenSamples.toMilliseconds();
Time timeout = Time.milliseconds(expectedDuration + sampleTimeout);
// Add the pending sample before scheduling the discard task to
// prevent races with removing it again.
pendingSamples.put(sampleId, pending);
// Trigger all samples
for (Execution execution: executions) {
final CompletableFuture<StackTraceSampleResponse> stackTraceSampleFuture = execution.requestStackTraceSample(
sampleId,
numSamples,
delayBetweenSamples,
maxStackTraceDepth,
timeout);
stackTraceSampleFuture.handleAsync(
(StackTraceSampleResponse stackTraceSampleResponse, Throwable throwable) -> {
if (stackTraceSampleResponse != null) {
collectStackTraces(
stackTraceSampleResponse.getSampleId(),
stackTraceSampleResponse.getExecutionAttemptID(),
stackTraceSampleResponse.getSamples());
} else {
cancelStackTraceSample(sampleId, throwable);
}
return null;
},
executor);
}
return pending.getStackTraceSampleFuture();
}
}
|
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] |
Triggers a stack trace sample to all tasks.
@param tasksToSample Tasks to sample.
@param numSamples Number of stack trace samples to collect.
@param delayBetweenSamples Delay between consecutive samples.
@param maxStackTraceDepth Maximum depth of the stack trace. 0 indicates
no maximum and keeps the complete stack trace.
@return A future of the completed stack trace sample
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/backpressure/StackTraceSampleCoordinator.java#L106-L184
|
train
|
Triggers a stack trace sample.
|
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apache/flink
|
flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDBIncrementalCheckpointUtils.java
|
RocksDBIncrementalCheckpointUtils.beforeThePrefixBytes
|
public static boolean beforeThePrefixBytes(@Nonnull byte[] bytes, @Nonnull byte[] prefixBytes) {
final int prefixLength = prefixBytes.length;
for (int i = 0; i < prefixLength; ++i) {
int r = (char) prefixBytes[i] - (char) bytes[i];
if (r != 0) {
return r > 0;
}
}
return false;
}
|
java
|
public static boolean beforeThePrefixBytes(@Nonnull byte[] bytes, @Nonnull byte[] prefixBytes) {
final int prefixLength = prefixBytes.length;
for (int i = 0; i < prefixLength; ++i) {
int r = (char) prefixBytes[i] - (char) bytes[i];
if (r != 0) {
return r > 0;
}
}
return false;
}
|
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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/RocksDBIncrementalCheckpointUtils.java#L138-L147
|
train
|
Returns true if the bytes are before the prefix bytes.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java
|
ClassUtil.isSimpleTypeOrArray
|
public static boolean isSimpleTypeOrArray(Class<?> clazz) {
if (null == clazz) {
return false;
}
return isSimpleValueType(clazz) || (clazz.isArray() && isSimpleValueType(clazz.getComponentType()));
}
|
java
|
public static boolean isSimpleTypeOrArray(Class<?> clazz) {
if (null == clazz) {
return false;
}
return isSimpleValueType(clazz) || (clazz.isArray() && isSimpleValueType(clazz.getComponentType()));
}
|
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] |
是否简单值类型或简单值类型的数组<br>
包括：原始类型,、String、other CharSequence, a Number, a Date, a URI, a URL, a Locale or a Class及其数组
@param clazz 属性类
@return 是否简单值类型或简单值类型的数组
|
[
"是否简单值类型或简单值类型的数组<br",
">",
"包括：原始类型",
"、String、other",
"CharSequence",
"a",
"Number",
"a",
"Date",
"a",
"URI",
"a",
"URL",
"a",
"Locale",
"or",
"a",
"Class及其数组"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java#L733-L738
|
train
|
Checks if the given class is a simple type or array type.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.runGatherSumApplyIteration
|
public <M> Graph<K, VV, EV> runGatherSumApplyIteration(
org.apache.flink.graph.gsa.GatherFunction<VV, EV, M> gatherFunction, SumFunction<VV, EV, M> sumFunction,
ApplyFunction<K, VV, M> applyFunction, int maximumNumberOfIterations,
GSAConfiguration parameters) {
GatherSumApplyIteration<K, VV, EV, M> iteration = GatherSumApplyIteration.withEdges(
edges, gatherFunction, sumFunction, applyFunction, maximumNumberOfIterations);
iteration.configure(parameters);
DataSet<Vertex<K, VV>> newVertices = vertices.runOperation(iteration);
return new Graph<>(newVertices, this.edges, this.context);
}
|
java
|
public <M> Graph<K, VV, EV> runGatherSumApplyIteration(
org.apache.flink.graph.gsa.GatherFunction<VV, EV, M> gatherFunction, SumFunction<VV, EV, M> sumFunction,
ApplyFunction<K, VV, M> applyFunction, int maximumNumberOfIterations,
GSAConfiguration parameters) {
GatherSumApplyIteration<K, VV, EV, M> iteration = GatherSumApplyIteration.withEdges(
edges, gatherFunction, sumFunction, applyFunction, maximumNumberOfIterations);
iteration.configure(parameters);
DataSet<Vertex<K, VV>> newVertices = vertices.runOperation(iteration);
return new Graph<>(newVertices, this.edges, this.context);
}
|
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@return the updated Graph after the gather-sum-apply iteration has converged or
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|
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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#L1799-L1812
|
train
|
Runs a Gather Sum Apply Iteration on the graph.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/types/StringValue.java
|
StringValue.readString
|
public static String readString(DataInput in) throws IOException {
// the length we read is offset by one, because a length of zero indicates a null value
int len = in.readUnsignedByte();
if (len == 0) {
return null;
}
if (len >= HIGH_BIT) {
int shift = 7;
int curr;
len = len & 0x7f;
while ((curr = in.readUnsignedByte()) >= HIGH_BIT) {
len |= (curr & 0x7f) << shift;
shift += 7;
}
len |= curr << shift;
}
// subtract one for the null length
len -= 1;
final char[] data = new char[len];
for (int i = 0; i < len; i++) {
int c = in.readUnsignedByte();
if (c < HIGH_BIT) {
data[i] = (char) c;
} else {
int shift = 7;
int curr;
c = c & 0x7f;
while ((curr = in.readUnsignedByte()) >= HIGH_BIT) {
c |= (curr & 0x7f) << shift;
shift += 7;
}
c |= curr << shift;
data[i] = (char) c;
}
}
return new String(data, 0, len);
}
|
java
|
public static String readString(DataInput in) throws IOException {
// the length we read is offset by one, because a length of zero indicates a null value
int len = in.readUnsignedByte();
if (len == 0) {
return null;
}
if (len >= HIGH_BIT) {
int shift = 7;
int curr;
len = len & 0x7f;
while ((curr = in.readUnsignedByte()) >= HIGH_BIT) {
len |= (curr & 0x7f) << shift;
shift += 7;
}
len |= curr << shift;
}
// subtract one for the null length
len -= 1;
final char[] data = new char[len];
for (int i = 0; i < len; i++) {
int c = in.readUnsignedByte();
if (c < HIGH_BIT) {
data[i] = (char) c;
} else {
int shift = 7;
int curr;
c = c & 0x7f;
while ((curr = in.readUnsignedByte()) >= HIGH_BIT) {
c |= (curr & 0x7f) << shift;
shift += 7;
}
c |= curr << shift;
data[i] = (char) c;
}
}
return new String(data, 0, len);
}
|
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/StringValue.java#L744-L786
|
train
|
Reads a String from the specified input.
|
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/strategy/encrypt/ShardingEncryptorEngine.java
|
ShardingEncryptorEngine.getShardingEncryptor
|
public Optional<ShardingEncryptor> getShardingEncryptor(final String logicTableName, final String columnName) {
for (ShardingEncryptorStrategy each : shardingEncryptorStrategies.values()) {
Optional<ShardingEncryptor> result = each.getShardingEncryptor(logicTableName, columnName);
if (result.isPresent()) {
return result;
}
}
return Optional.absent();
}
|
java
|
public Optional<ShardingEncryptor> getShardingEncryptor(final String logicTableName, final String columnName) {
for (ShardingEncryptorStrategy each : shardingEncryptorStrategies.values()) {
Optional<ShardingEncryptor> result = each.getShardingEncryptor(logicTableName, columnName);
if (result.isPresent()) {
return result;
}
}
return Optional.absent();
}
|
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Get sharding encryptor.
@param logicTableName logic table name
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|
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/strategy/encrypt/ShardingEncryptorEngine.java#L56-L64
|
train
|
Get sharding encryptor Optional.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/qrcode/QrCodeUtil.java
|
QrCodeUtil.decode
|
public static String decode(Image image, boolean isTryHarder, boolean isPureBarcode) {
final MultiFormatReader formatReader = new MultiFormatReader();
final LuminanceSource source = new BufferedImageLuminanceSource(ImgUtil.toBufferedImage(image));
final Binarizer binarizer = new HybridBinarizer(source);
final BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
final HashMap<DecodeHintType, Object> hints = new HashMap<>();
hints.put(DecodeHintType.CHARACTER_SET, CharsetUtil.UTF_8);
// 优化精度
hints.put(DecodeHintType.TRY_HARDER, Boolean.valueOf(isTryHarder));
// 复杂模式，开启PURE_BARCODE模式
hints.put(DecodeHintType.PURE_BARCODE, Boolean.valueOf(isPureBarcode));
Result result;
try {
result = formatReader.decode(binaryBitmap, hints);
} catch (NotFoundException e) {
// 报错尝试关闭复杂模式
hints.remove(DecodeHintType.PURE_BARCODE);
try {
result = formatReader.decode(binaryBitmap, hints);
} catch (NotFoundException e1) {
throw new QrCodeException(e1);
}
}
return result.getText();
}
|
java
|
public static String decode(Image image, boolean isTryHarder, boolean isPureBarcode) {
final MultiFormatReader formatReader = new MultiFormatReader();
final LuminanceSource source = new BufferedImageLuminanceSource(ImgUtil.toBufferedImage(image));
final Binarizer binarizer = new HybridBinarizer(source);
final BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
final HashMap<DecodeHintType, Object> hints = new HashMap<>();
hints.put(DecodeHintType.CHARACTER_SET, CharsetUtil.UTF_8);
// 优化精度
hints.put(DecodeHintType.TRY_HARDER, Boolean.valueOf(isTryHarder));
// 复杂模式，开启PURE_BARCODE模式
hints.put(DecodeHintType.PURE_BARCODE, Boolean.valueOf(isPureBarcode));
Result result;
try {
result = formatReader.decode(binaryBitmap, hints);
} catch (NotFoundException e) {
// 报错尝试关闭复杂模式
hints.remove(DecodeHintType.PURE_BARCODE);
try {
result = formatReader.decode(binaryBitmap, hints);
} catch (NotFoundException e1) {
throw new QrCodeException(e1);
}
}
return result.getText();
}
|
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] |
将二维码图片解码为文本
@param image {@link Image} 二维码图片
@param isTryHarder 是否优化精度
@param isPureBarcode 是否使用复杂模式，扫描带logo的二维码设为true
@return 解码后的文本
@since 4.3.1
|
[
"将二维码图片解码为文本"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/qrcode/QrCodeUtil.java#L303-L330
|
train
|
Decodes the given image.
|
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netty/netty
|
resolver-dns/src/main/java/io/netty/resolver/dns/Cache.java
|
Cache.get
|
final List<? extends E> get(String hostname) {
Entries entries = resolveCache.get(hostname);
return entries == null ? null : entries.get();
}
|
java
|
final List<? extends E> get(String hostname) {
Entries entries = resolveCache.get(hostname);
return entries == null ? null : entries.get();
}
|
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Returns all caches entries for the given hostname.
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/resolver-dns/src/main/java/io/netty/resolver/dns/Cache.java#L116-L119
|
train
|
Get the domain information for the given hostname.
|
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apache/spark
|
common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java
|
UTF8String.getBytes
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public byte[] getBytes() {
// avoid copy if `base` is `byte[]`
if (offset == BYTE_ARRAY_OFFSET && base instanceof byte[]
&& ((byte[]) base).length == numBytes) {
return (byte[]) base;
} else {
byte[] bytes = new byte[numBytes];
copyMemory(base, offset, bytes, BYTE_ARRAY_OFFSET, numBytes);
return bytes;
}
}
|
java
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public byte[] getBytes() {
// avoid copy if `base` is `byte[]`
if (offset == BYTE_ARRAY_OFFSET && base instanceof byte[]
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return (byte[]) base;
} else {
byte[] bytes = new byte[numBytes];
copyMemory(base, offset, bytes, BYTE_ARRAY_OFFSET, numBytes);
return bytes;
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}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L291-L301
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train
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/IOManagerAsync.java
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IOManagerAsync.createBlockChannelWriter
|
@Override
public BlockChannelWriter<MemorySegment> createBlockChannelWriter(FileIOChannel.ID channelID,
LinkedBlockingQueue<MemorySegment> returnQueue) throws IOException
{
checkState(!isShutdown.get(), "I/O-Manager is shut down.");
return new AsynchronousBlockWriter(channelID, this.writers[channelID.getThreadNum()].requestQueue, returnQueue);
}
|
java
|
@Override
public BlockChannelWriter<MemorySegment> createBlockChannelWriter(FileIOChannel.ID channelID,
LinkedBlockingQueue<MemorySegment> returnQueue) throws IOException
{
checkState(!isShutdown.get(), "I/O-Manager is shut down.");
return new AsynchronousBlockWriter(channelID, this.writers[channelID.getThreadNum()].requestQueue, returnQueue);
}
|
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] |
------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/IOManagerAsync.java#L196-L202
|
train
|
Create a block channel writer.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/interactions/Actions.java
|
Actions.contextClick
|
public Actions contextClick() {
if (isBuildingActions()) {
action.addAction(new ContextClickAction(jsonMouse, null));
}
return clickInTicks(RIGHT);
}
|
java
|
public Actions contextClick() {
if (isBuildingActions()) {
action.addAction(new ContextClickAction(jsonMouse, null));
}
return clickInTicks(RIGHT);
}
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Performs a context-click at the current mouse location.
@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#L432-L438
|
train
|
Clicks the context of the current element.
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphGenerator.java
|
StreamGraphGenerator.transformSplit
|
private <T> Collection<Integer> transformSplit(SplitTransformation<T> split) {
StreamTransformation<T> input = split.getInput();
Collection<Integer> resultIds = transform(input);
validateSplitTransformation(input);
// the recursive transform call might have transformed this already
if (alreadyTransformed.containsKey(split)) {
return alreadyTransformed.get(split);
}
for (int inputId : resultIds) {
streamGraph.addOutputSelector(inputId, split.getOutputSelector());
}
return resultIds;
}
|
java
|
private <T> Collection<Integer> transformSplit(SplitTransformation<T> split) {
StreamTransformation<T> input = split.getInput();
Collection<Integer> resultIds = transform(input);
validateSplitTransformation(input);
// the recursive transform call might have transformed this already
if (alreadyTransformed.containsKey(split)) {
return alreadyTransformed.get(split);
}
for (int inputId : resultIds) {
streamGraph.addOutputSelector(inputId, split.getOutputSelector());
}
return resultIds;
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphGenerator.java#L263-L280
|
train
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Transform a split transformation.
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looly/hutool
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hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoFactory.java
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MongoFactory.getDS
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public static MongoDS getDS(Collection<String> groups) {
return getDS(groups.toArray(new String[groups.size()]));
}
|
java
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public static MongoDS getDS(Collection<String> groups) {
return getDS(groups.toArray(new String[groups.size()]));
}
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获取MongoDB数据源<br>
@param groups 分组列表
@return MongoDB连接
|
[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoFactory.java#L79-L81
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train
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Gets the DS object for the given collection of groups.
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alibaba/canal
|
client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/support/ESTemplate.java
|
ESTemplate.getESDataFromDmlData
|
public Object getESDataFromDmlData(ESMapping mapping, Map<String, Object> dmlData,
Map<String, Object> esFieldData) {
SchemaItem schemaItem = mapping.getSchemaItem();
String idFieldName = mapping.get_id() == null ? mapping.getPk() : mapping.get_id();
Object resultIdVal = null;
for (FieldItem fieldItem : schemaItem.getSelectFields().values()) {
String columnName = fieldItem.getColumnItems().iterator().next().getColumnName();
Object value = getValFromData(mapping, dmlData, fieldItem.getFieldName(), columnName);
if (fieldItem.getFieldName().equals(idFieldName)) {
resultIdVal = value;
}
if (!fieldItem.getFieldName().equals(mapping.get_id())
&& !mapping.getSkips().contains(fieldItem.getFieldName())) {
esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), value);
}
}
// 添加父子文档关联信息
putRelationData(mapping, schemaItem, dmlData, esFieldData);
return resultIdVal;
}
|
java
|
public Object getESDataFromDmlData(ESMapping mapping, Map<String, Object> dmlData,
Map<String, Object> esFieldData) {
SchemaItem schemaItem = mapping.getSchemaItem();
String idFieldName = mapping.get_id() == null ? mapping.getPk() : mapping.get_id();
Object resultIdVal = null;
for (FieldItem fieldItem : schemaItem.getSelectFields().values()) {
String columnName = fieldItem.getColumnItems().iterator().next().getColumnName();
Object value = getValFromData(mapping, dmlData, fieldItem.getFieldName(), columnName);
if (fieldItem.getFieldName().equals(idFieldName)) {
resultIdVal = value;
}
if (!fieldItem.getFieldName().equals(mapping.get_id())
&& !mapping.getSkips().contains(fieldItem.getFieldName())) {
esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), value);
}
}
// 添加父子文档关联信息
putRelationData(mapping, schemaItem, dmlData, esFieldData);
return resultIdVal;
}
|
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] |
将dml的data转换为es的data
@param mapping 配置mapping
@param dmlData dml data
@param esFieldData es data
@return 返回 id 值
|
[
"将dml的data转换为es的data"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/support/ESTemplate.java#L371-L393
|
train
|
Get ES data from DML data.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/ClassScaner.java
|
ClassScaner.loadClass
|
private Class<?> loadClass(String className) {
Class<?> clazz = null;
try {
clazz = Class.forName(className, this.initialize, ClassUtil.getClassLoader());
} catch (NoClassDefFoundError e) {
// 由于依赖库导致的类无法加载，直接跳过此类
} catch (UnsupportedClassVersionError e) {
// 版本导致的不兼容的类，跳过
} catch (Exception e) {
throw new RuntimeException(e);
// Console.error(e);
}
return clazz;
}
|
java
|
private Class<?> loadClass(String className) {
Class<?> clazz = null;
try {
clazz = Class.forName(className, this.initialize, ClassUtil.getClassLoader());
} catch (NoClassDefFoundError e) {
// 由于依赖库导致的类无法加载，直接跳过此类
} catch (UnsupportedClassVersionError e) {
// 版本导致的不兼容的类，跳过
} catch (Exception e) {
throw new RuntimeException(e);
// Console.error(e);
}
return clazz;
}
|
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] |
加载类
@param className 类名
@return 加载的类
|
[
"加载类"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/ClassScaner.java#L263-L276
|
train
|
Load a class from the classpath.
|
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30526
] |
apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java
|
ScatterGatherIteration.createResult
|
@Override
public DataSet<Vertex<K, VV>> createResult() {
if (this.initialVertices == null) {
throw new IllegalStateException("The input data set has not been set.");
}
// prepare some type information
TypeInformation<K> keyType = ((TupleTypeInfo<?>) initialVertices.getType()).getTypeAt(0);
TypeInformation<Tuple2<K, Message>> messageTypeInfo = new TupleTypeInfo<>(keyType, messageType);
// create a graph
Graph<K, VV, EV> graph =
Graph.fromDataSet(initialVertices, edgesWithValue, initialVertices.getExecutionEnvironment());
// check whether the numVertices option is set and, if so, compute the total number of vertices
// and set it within the scatter and gather functions
DataSet<LongValue> numberOfVertices = null;
if (this.configuration != null && this.configuration.isOptNumVertices()) {
try {
numberOfVertices = GraphUtils.count(this.initialVertices);
} catch (Exception e) {
e.printStackTrace();
}
}
if (this.configuration != null) {
scatterFunction.setDirection(this.configuration.getDirection());
} else {
scatterFunction.setDirection(EdgeDirection.OUT);
}
// retrieve the direction in which the updates are made and in which the messages are sent
EdgeDirection messagingDirection = scatterFunction.getDirection();
// check whether the degrees option is set and, if so, compute the in and the out degrees and
// add them to the vertex value
if (this.configuration != null && this.configuration.isOptDegrees()) {
return createResultVerticesWithDegrees(graph, messagingDirection, messageTypeInfo, numberOfVertices);
} else {
return createResultSimpleVertex(messagingDirection, messageTypeInfo, numberOfVertices);
}
}
|
java
|
@Override
public DataSet<Vertex<K, VV>> createResult() {
if (this.initialVertices == null) {
throw new IllegalStateException("The input data set has not been set.");
}
// prepare some type information
TypeInformation<K> keyType = ((TupleTypeInfo<?>) initialVertices.getType()).getTypeAt(0);
TypeInformation<Tuple2<K, Message>> messageTypeInfo = new TupleTypeInfo<>(keyType, messageType);
// create a graph
Graph<K, VV, EV> graph =
Graph.fromDataSet(initialVertices, edgesWithValue, initialVertices.getExecutionEnvironment());
// check whether the numVertices option is set and, if so, compute the total number of vertices
// and set it within the scatter and gather functions
DataSet<LongValue> numberOfVertices = null;
if (this.configuration != null && this.configuration.isOptNumVertices()) {
try {
numberOfVertices = GraphUtils.count(this.initialVertices);
} catch (Exception e) {
e.printStackTrace();
}
}
if (this.configuration != null) {
scatterFunction.setDirection(this.configuration.getDirection());
} else {
scatterFunction.setDirection(EdgeDirection.OUT);
}
// retrieve the direction in which the updates are made and in which the messages are sent
EdgeDirection messagingDirection = scatterFunction.getDirection();
// check whether the degrees option is set and, if so, compute the in and the out degrees and
// add them to the vertex value
if (this.configuration != null && this.configuration.isOptDegrees()) {
return createResultVerticesWithDegrees(graph, messagingDirection, messageTypeInfo, numberOfVertices);
} else {
return createResultSimpleVertex(messagingDirection, messageTypeInfo, numberOfVertices);
}
}
|
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Creates the operator that represents this scatter-gather graph computation.
@return The operator that represents this scatter-gather graph computation.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java#L137-L179
|
train
|
Creates the result data set.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.getReader
|
public static ImageReader getReader(String type) {
final Iterator<ImageReader> iterator = ImageIO.getImageReadersByFormatName(type);
if (iterator.hasNext()) {
return iterator.next();
}
return null;
}
|
java
|
public static ImageReader getReader(String type) {
final Iterator<ImageReader> iterator = ImageIO.getImageReadersByFormatName(type);
if (iterator.hasNext()) {
return iterator.next();
}
return null;
}
|
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获得{@link ImageReader}
@param type 图片文件类型，例如 "jpeg" 或 "tiff"
@return {@link ImageReader}
|
[
"获得",
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"@link",
"ImageReader",
"}"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L1508-L1514
|
train
|
Gets the ImageReader for the specified format name.
|
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looly/hutool
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hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java
|
ClassUtil.getPublicMethod
|
public static Method getPublicMethod(Class<?> clazz, String methodName, Class<?>... paramTypes) throws SecurityException {
return ReflectUtil.getPublicMethod(clazz, methodName, paramTypes);
}
|
java
|
public static Method getPublicMethod(Class<?> clazz, String methodName, Class<?>... paramTypes) throws SecurityException {
return ReflectUtil.getPublicMethod(clazz, methodName, paramTypes);
}
|
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] |
查找指定Public方法 如果找不到对应的方法或方法不为public的则返回<code>null</code>
@param clazz 类
@param methodName 方法名
@param paramTypes 参数类型
@return 方法
@throws SecurityException 无权访问抛出异常
|
[
"查找指定Public方法",
"如果找不到对应的方法或方法不为public的则返回<code",
">",
"null<",
"/",
"code",
">"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java#L294-L296
|
train
|
Get a public method from a class.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlot.java
|
TaskSlot.markFree
|
public boolean markFree() {
if (isEmpty()) {
state = TaskSlotState.FREE;
this.jobId = null;
this.allocationId = null;
return true;
} else {
return false;
}
}
|
java
|
public boolean markFree() {
if (isEmpty()) {
state = TaskSlotState.FREE;
this.jobId = null;
this.allocationId = null;
return true;
} else {
return false;
}
}
|
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Mark the slot as free. A slot can only be marked as free if it's empty.
@return True if the new state is free; 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/TaskSlot.java#L268-L278
|
train
|
Mark this slot as free.
|
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flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/savepoint/SavepointSerializers.java
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SavepointSerializers.getSerializer
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@SuppressWarnings("unchecked")
public static <T extends Savepoint> SavepointSerializer<T> getSerializer(T savepoint) {
Preconditions.checkNotNull(savepoint, "Savepoint");
SavepointSerializer<T> serializer = (SavepointSerializer<T>) SERIALIZERS.get(savepoint.getVersion());
if (serializer != null) {
return serializer;
} else {
throw new IllegalArgumentException("Unknown savepoint version " + savepoint.getVersion() + ".");
}
}
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java
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@SuppressWarnings("unchecked")
public static <T extends Savepoint> SavepointSerializer<T> getSerializer(T savepoint) {
Preconditions.checkNotNull(savepoint, "Savepoint");
SavepointSerializer<T> serializer = (SavepointSerializer<T>) SERIALIZERS.get(savepoint.getVersion());
if (serializer != null) {
return serializer;
} else {
throw new IllegalArgumentException("Unknown savepoint version " + savepoint.getVersion() + ".");
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/savepoint/SavepointSerializers.java#L56-L65
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train
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Gets the serializer for the given savepoint.
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java
|
HttpHeaders.setDateHeader
|
@Deprecated
public static void setDateHeader(HttpMessage message, String name, Iterable<Date> values) {
message.headers().set(name, values);
}
|
java
|
@Deprecated
public static void setDateHeader(HttpMessage message, String name, Iterable<Date> values) {
message.headers().set(name, values);
}
|
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@deprecated Use {@link #set(CharSequence, Iterable)} instead.
@see #setDateHeader(HttpMessage, CharSequence, Iterable)
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java#L914-L917
|
train
|
Sets a date header.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.filter
|
public static <T> List<T> filter(List<T> list, Filter<T> filter) {
if (null == list || null == filter) {
return list;
}
final List<T> list2 = (list instanceof LinkedList) ? new LinkedList<T>() : new ArrayList<T>(list.size());
for (T t : list) {
if (filter.accept(t)) {
list2.add(t);
}
}
return list2;
}
|
java
|
public static <T> List<T> filter(List<T> list, Filter<T> filter) {
if (null == list || null == filter) {
return list;
}
final List<T> list2 = (list instanceof LinkedList) ? new LinkedList<T>() : new ArrayList<T>(list.size());
for (T t : list) {
if (filter.accept(t)) {
list2.add(t);
}
}
return list2;
}
|
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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 list 集合
@param filter 过滤器
@return 过滤后的数组
@since 4.1.8
|
[
"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#L1039-L1050
|
train
|
Returns a new list that contains only those objects that match the given filter.
|
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apache/spark
|
sql/hive-thriftserver/src/gen/java/org/apache/hive/service/cli/thrift/TOpenSessionReq.java
|
TOpenSessionReq.isSet
|
public boolean isSet(_Fields field) {
if (field == null) {
throw new IllegalArgumentException();
}
switch (field) {
case CLIENT_PROTOCOL:
return isSetClient_protocol();
case USERNAME:
return isSetUsername();
case PASSWORD:
return isSetPassword();
case CONFIGURATION:
return isSetConfiguration();
}
throw new IllegalStateException();
}
|
java
|
public boolean isSet(_Fields field) {
if (field == null) {
throw new IllegalArgumentException();
}
switch (field) {
case CLIENT_PROTOCOL:
return isSetClient_protocol();
case USERNAME:
return isSetUsername();
case PASSWORD:
return isSetPassword();
case CONFIGURATION:
return isSetConfiguration();
}
throw new IllegalStateException();
}
|
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Returns true if field corresponding to fieldID is set (has been assigned a value) and false otherwise
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/gen/java/org/apache/hive/service/cli/thrift/TOpenSessionReq.java#L365-L381
|
train
|
Checks if field is set to a value of a CRAsCTYPE
|
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] |
looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/mail/InternalMailUtil.java
|
InternalMailUtil.parseAddressFromStrs
|
public static InternetAddress[] parseAddressFromStrs(String[] addrStrs, Charset charset) {
final List<InternetAddress> resultList = new ArrayList<>(addrStrs.length);
InternetAddress[] addrs;
for (int i = 0; i < addrStrs.length; i++) {
addrs = parseAddress(addrStrs[i], charset);
if(ArrayUtil.isNotEmpty(addrs)) {
for(int j = 0 ; j < addrs.length; j++) {
resultList.add(addrs[j]);
}
}
}
return resultList.toArray(new InternetAddress[resultList.size()]);
}
|
java
|
public static InternetAddress[] parseAddressFromStrs(String[] addrStrs, Charset charset) {
final List<InternetAddress> resultList = new ArrayList<>(addrStrs.length);
InternetAddress[] addrs;
for (int i = 0; i < addrStrs.length; i++) {
addrs = parseAddress(addrStrs[i], charset);
if(ArrayUtil.isNotEmpty(addrs)) {
for(int j = 0 ; j < addrs.length; j++) {
resultList.add(addrs[j]);
}
}
}
return resultList.toArray(new InternetAddress[resultList.size()]);
}
|
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] |
将多个字符串邮件地址转为{@link InternetAddress}列表<br>
单个字符串地址可以是多个地址合并的字符串
@param addrStrs 地址数组
@param charset 编码（主要用于中文用户名的编码）
@return 地址数组
@since 4.0.3
|
[
"将多个字符串邮件地址转为",
"{",
"@link",
"InternetAddress",
"}",
"列表<br",
">",
"单个字符串地址可以是多个地址合并的字符串"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/mail/InternalMailUtil.java#L30-L42
|
train
|
Parses an array of strings containing a list of IPv4 addresses.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/query/QueryableStateUtils.java
|
QueryableStateUtils.createKvStateClientProxy
|
public static KvStateClientProxy createKvStateClientProxy(
final InetAddress address,
final Iterator<Integer> ports,
final int eventLoopThreads,
final int queryThreads,
final KvStateRequestStats stats) {
Preconditions.checkNotNull(address, "address");
Preconditions.checkNotNull(stats, "stats");
Preconditions.checkArgument(eventLoopThreads >= 1);
Preconditions.checkArgument(queryThreads >= 1);
try {
String classname = "org.apache.flink.queryablestate.client.proxy.KvStateClientProxyImpl";
Class<? extends KvStateClientProxy> clazz = Class.forName(classname).asSubclass(KvStateClientProxy.class);
Constructor<? extends KvStateClientProxy> constructor = clazz.getConstructor(
InetAddress.class,
Iterator.class,
Integer.class,
Integer.class,
KvStateRequestStats.class);
return constructor.newInstance(address, ports, eventLoopThreads, queryThreads, stats);
} catch (ClassNotFoundException e) {
final String msg = "Could not load Queryable State Client Proxy. " + ERROR_MESSAGE_ON_LOAD_FAILURE;
if (LOG.isDebugEnabled()) {
LOG.debug(msg + " Cause: " + e.getMessage());
} else {
LOG.info(msg);
}
return null;
} catch (InvocationTargetException e) {
LOG.error("Queryable State Client Proxy could not be created: ", e.getTargetException());
return null;
} catch (Throwable t) {
LOG.error("Failed to instantiate the Queryable State Client Proxy.", t);
return null;
}
}
|
java
|
public static KvStateClientProxy createKvStateClientProxy(
final InetAddress address,
final Iterator<Integer> ports,
final int eventLoopThreads,
final int queryThreads,
final KvStateRequestStats stats) {
Preconditions.checkNotNull(address, "address");
Preconditions.checkNotNull(stats, "stats");
Preconditions.checkArgument(eventLoopThreads >= 1);
Preconditions.checkArgument(queryThreads >= 1);
try {
String classname = "org.apache.flink.queryablestate.client.proxy.KvStateClientProxyImpl";
Class<? extends KvStateClientProxy> clazz = Class.forName(classname).asSubclass(KvStateClientProxy.class);
Constructor<? extends KvStateClientProxy> constructor = clazz.getConstructor(
InetAddress.class,
Iterator.class,
Integer.class,
Integer.class,
KvStateRequestStats.class);
return constructor.newInstance(address, ports, eventLoopThreads, queryThreads, stats);
} catch (ClassNotFoundException e) {
final String msg = "Could not load Queryable State Client Proxy. " + ERROR_MESSAGE_ON_LOAD_FAILURE;
if (LOG.isDebugEnabled()) {
LOG.debug(msg + " Cause: " + e.getMessage());
} else {
LOG.info(msg);
}
return null;
} catch (InvocationTargetException e) {
LOG.error("Queryable State Client Proxy could not be created: ", e.getTargetException());
return null;
} catch (Throwable t) {
LOG.error("Failed to instantiate the Queryable State Client Proxy.", t);
return null;
}
}
|
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] |
Initializes the {@link KvStateClientProxy client proxy} responsible for
receiving requests from the external (to the cluster) client and forwarding them internally.
@param address the address to bind to.
@param ports the range of ports the proxy will attempt to listen to
(see {@link org.apache.flink.configuration.QueryableStateOptions#PROXY_PORT_RANGE
QueryableStateOptions.PROXY_PORT_RANGE}).
@param eventLoopThreads the number of threads to be used to process incoming requests.
@param queryThreads the number of threads to be used to send the actual state.
@param stats statistics to be gathered about the incoming requests.
@return the {@link KvStateClientProxy client proxy}.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/query/QueryableStateUtils.java#L56-L94
|
train
|
Creates a new Queryable State Client Proxy.
|
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apache/spark
|
common/network-common/src/main/java/org/apache/spark/network/server/OneForOneStreamManager.java
|
OneForOneStreamManager.parseStreamChunkId
|
public static Pair<Long, Integer> parseStreamChunkId(String streamChunkId) {
String[] array = streamChunkId.split("_");
assert array.length == 2:
"Stream id and chunk index should be specified.";
long streamId = Long.valueOf(array[0]);
int chunkIndex = Integer.valueOf(array[1]);
return ImmutablePair.of(streamId, chunkIndex);
}
|
java
|
public static Pair<Long, Integer> parseStreamChunkId(String streamChunkId) {
String[] array = streamChunkId.split("_");
assert array.length == 2:
"Stream id and chunk index should be specified.";
long streamId = Long.valueOf(array[0]);
int chunkIndex = Integer.valueOf(array[1]);
return ImmutablePair.of(streamId, chunkIndex);
}
|
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stream.
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[
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/server/OneForOneStreamManager.java#L109-L116
|
train
|
Parses a chunk id.
|
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30526
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apache/spark
|
launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java
|
CommandBuilderUtils.firstNonEmptyValue
|
static String firstNonEmptyValue(String key, Map<?, ?>... maps) {
for (Map<?, ?> map : maps) {
String value = (String) map.get(key);
if (!isEmpty(value)) {
return value;
}
}
return null;
}
|
java
|
static String firstNonEmptyValue(String key, Map<?, ?>... maps) {
for (Map<?, ?> map : maps) {
String value = (String) map.get(key);
if (!isEmpty(value)) {
return value;
}
}
return null;
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java#L70-L78
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train
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Get the first non - empty value from the map.
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netty/netty
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handler/src/main/java/io/netty/handler/ssl/ReferenceCountedOpenSslContext.java
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ReferenceCountedOpenSslContext.providerFor
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static OpenSslKeyMaterialProvider providerFor(KeyManagerFactory factory, String password) {
if (factory instanceof OpenSslX509KeyManagerFactory) {
return ((OpenSslX509KeyManagerFactory) factory).newProvider();
}
X509KeyManager keyManager = chooseX509KeyManager(factory.getKeyManagers());
if (factory instanceof OpenSslCachingX509KeyManagerFactory) {
// The user explicit used OpenSslCachingX509KeyManagerFactory which signals us that its fine to cache.
return new OpenSslCachingKeyMaterialProvider(keyManager, password);
}
// We can not be sure if the material may change at runtime so we will not cache it.
return new OpenSslKeyMaterialProvider(keyManager, password);
}
|
java
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static OpenSslKeyMaterialProvider providerFor(KeyManagerFactory factory, String password) {
if (factory instanceof OpenSslX509KeyManagerFactory) {
return ((OpenSslX509KeyManagerFactory) factory).newProvider();
}
X509KeyManager keyManager = chooseX509KeyManager(factory.getKeyManagers());
if (factory instanceof OpenSslCachingX509KeyManagerFactory) {
// The user explicit used OpenSslCachingX509KeyManagerFactory which signals us that its fine to cache.
return new OpenSslCachingKeyMaterialProvider(keyManager, password);
}
// We can not be sure if the material may change at runtime so we will not cache it.
return new OpenSslKeyMaterialProvider(keyManager, password);
}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/ReferenceCountedOpenSslContext.java#L899-L911
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train
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spring-boot-project/spring-boot-tools/spring-boot-loader-tools/src/main/java/org/springframework/boot/loader/tools/JarWriter.java
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JarWriter.writeEntry
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java
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@Override
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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train
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] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java
|
DoubleArrayTrie.fetch
|
private int fetch(Node parent, List<Node> siblings)
{
if (error_ < 0)
return 0;
int prev = 0;
for (int i = parent.left; i < parent.right; i++)
{
if ((length != null ? length[i] : key.get(i).length()) < parent.depth)
continue;
String tmp = key.get(i);
int cur = 0;
if ((length != null ? length[i] : tmp.length()) != parent.depth)
cur = (int) tmp.charAt(parent.depth) + 1;
if (prev > cur)
{
error_ = -3;
return 0;
}
if (cur != prev || siblings.size() == 0)
{
Node tmp_node = new Node();
tmp_node.depth = parent.depth + 1;
tmp_node.code = cur;
tmp_node.left = i;
if (siblings.size() != 0)
siblings.get(siblings.size() - 1).right = i;
siblings.add(tmp_node);
}
prev = cur;
}
if (siblings.size() != 0)
siblings.get(siblings.size() - 1).right = parent.right;
return siblings.size();
}
|
java
|
private int fetch(Node parent, List<Node> siblings)
{
if (error_ < 0)
return 0;
int prev = 0;
for (int i = parent.left; i < parent.right; i++)
{
if ((length != null ? length[i] : key.get(i).length()) < parent.depth)
continue;
String tmp = key.get(i);
int cur = 0;
if ((length != null ? length[i] : tmp.length()) != parent.depth)
cur = (int) tmp.charAt(parent.depth) + 1;
if (prev > cur)
{
error_ = -3;
return 0;
}
if (cur != prev || siblings.size() == 0)
{
Node tmp_node = new Node();
tmp_node.depth = parent.depth + 1;
tmp_node.code = cur;
tmp_node.left = i;
if (siblings.size() != 0)
siblings.get(siblings.size() - 1).right = i;
siblings.add(tmp_node);
}
prev = cur;
}
if (siblings.size() != 0)
siblings.get(siblings.size() - 1).right = parent.right;
return siblings.size();
}
|
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] |
获取直接相连的子节点
@param parent 父节点
@param siblings （子）兄弟节点
@return 兄弟节点个数
|
[
"获取直接相连的子节点"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java#L110-L153
|
train
|
Fetch the count of nodes from a node.
|
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apache/flink
|
flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java
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Configuration.getInt
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public int getInt(String name, int defaultValue) {
String valueString = getTrimmed(name);
if (valueString == null)
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String hexString = getHexDigits(valueString);
if (hexString != null) {
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return Integer.parseInt(valueString);
}
|
java
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public int getInt(String name, int defaultValue) {
String valueString = getTrimmed(name);
if (valueString == null)
return defaultValue;
String hexString = getHexDigits(valueString);
if (hexString != null) {
return Integer.parseInt(hexString, 16);
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return Integer.parseInt(valueString);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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30526
] |
alibaba/canal
|
driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/packets/client/BinlogDumpCommandPacket.java
|
BinlogDumpCommandPacket.toBytes
|
public byte[] toBytes() throws IOException {
ByteArrayOutputStream out = new ByteArrayOutputStream();
// 0. write command number
out.write(getCommand());
// 1. write 4 bytes bin-log position to start at
ByteHelper.writeUnsignedIntLittleEndian(binlogPosition, out);
// 2. write 2 bytes bin-log flags
int binlog_flags = 0;
binlog_flags |= BINLOG_SEND_ANNOTATE_ROWS_EVENT;
out.write(binlog_flags);
out.write(0x00);
// 3. write 4 bytes server id of the slave
ByteHelper.writeUnsignedIntLittleEndian(this.slaveServerId, out);
// 4. write bin-log file name if necessary
if (StringUtils.isNotEmpty(this.binlogFileName)) {
out.write(this.binlogFileName.getBytes());
}
return out.toByteArray();
}
|
java
|
public byte[] toBytes() throws IOException {
ByteArrayOutputStream out = new ByteArrayOutputStream();
// 0. write command number
out.write(getCommand());
// 1. write 4 bytes bin-log position to start at
ByteHelper.writeUnsignedIntLittleEndian(binlogPosition, out);
// 2. write 2 bytes bin-log flags
int binlog_flags = 0;
binlog_flags |= BINLOG_SEND_ANNOTATE_ROWS_EVENT;
out.write(binlog_flags);
out.write(0x00);
// 3. write 4 bytes server id of the slave
ByteHelper.writeUnsignedIntLittleEndian(this.slaveServerId, out);
// 4. write bin-log file name if necessary
if (StringUtils.isNotEmpty(this.binlogFileName)) {
out.write(this.binlogFileName.getBytes());
}
return out.toByteArray();
}
|
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] |
<pre>
Bytes Name
----- ----
1 command
n arg
--------------------------------------------------------
Bytes Name
----- ----
4 binlog position to start at (little endian)
2 binlog flags (currently not used; always 0)
4 server_id of the slave (little endian)
n binlog file name (optional)
</pre>
|
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")"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/packets/client/BinlogDumpCommandPacket.java#L50-L68
|
train
|
Serialize the record to bytes.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java
|
SegmentsUtil.setLong
|
public static void setLong(MemorySegment[] segments, int offset, long value) {
if (inFirstSegment(segments, offset, 8)) {
segments[0].putLong(offset, value);
} else {
setLongMultiSegments(segments, offset, value);
}
}
|
java
|
public static void setLong(MemorySegment[] segments, int offset, long value) {
if (inFirstSegment(segments, offset, 8)) {
segments[0].putLong(offset, value);
} else {
setLongMultiSegments(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#L755-L761
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train
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set long from segments.
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.reduceOnNeighbors
|
public DataSet<Tuple2<K, VV>> reduceOnNeighbors(ReduceNeighborsFunction<VV> reduceNeighborsFunction,
EdgeDirection direction) throws IllegalArgumentException {
switch (direction) {
case IN:
// create <vertex-source value> pairs
final DataSet<Tuple2<K, VV>> verticesWithSourceNeighborValues = edges
.join(this.vertices).where(0).equalTo(0)
.with(new ProjectVertexWithNeighborValueJoin<>(1))
.withForwardedFieldsFirst("f1->f0").name("Vertex with in-neighbor value");
return verticesWithSourceNeighborValues.groupBy(0).reduce(new ApplyNeighborReduceFunction<>(
reduceNeighborsFunction)).name("Neighbors function");
case OUT:
// create <vertex-target value> pairs
DataSet<Tuple2<K, VV>> verticesWithTargetNeighborValues = edges
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectVertexWithNeighborValueJoin<>(0))
.withForwardedFieldsFirst("f0").name("Vertex with out-neighbor value");
return verticesWithTargetNeighborValues.groupBy(0).reduce(new ApplyNeighborReduceFunction<>(
reduceNeighborsFunction)).name("Neighbors function");
case ALL:
// create <vertex-neighbor value> pairs
DataSet<Tuple2<K, VV>> verticesWithNeighborValues = edges
.flatMap(new EmitOneEdgeWithNeighborPerNode<>())
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectNeighborValue<>()).name("Vertex with neighbor value");
return verticesWithNeighborValues.groupBy(0).reduce(new ApplyNeighborReduceFunction<>(
reduceNeighborsFunction)).name("Neighbors function");
default:
throw new IllegalArgumentException("Illegal edge direction");
}
}
|
java
|
public DataSet<Tuple2<K, VV>> reduceOnNeighbors(ReduceNeighborsFunction<VV> reduceNeighborsFunction,
EdgeDirection direction) throws IllegalArgumentException {
switch (direction) {
case IN:
// create <vertex-source value> pairs
final DataSet<Tuple2<K, VV>> verticesWithSourceNeighborValues = edges
.join(this.vertices).where(0).equalTo(0)
.with(new ProjectVertexWithNeighborValueJoin<>(1))
.withForwardedFieldsFirst("f1->f0").name("Vertex with in-neighbor value");
return verticesWithSourceNeighborValues.groupBy(0).reduce(new ApplyNeighborReduceFunction<>(
reduceNeighborsFunction)).name("Neighbors function");
case OUT:
// create <vertex-target value> pairs
DataSet<Tuple2<K, VV>> verticesWithTargetNeighborValues = edges
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectVertexWithNeighborValueJoin<>(0))
.withForwardedFieldsFirst("f0").name("Vertex with out-neighbor value");
return verticesWithTargetNeighborValues.groupBy(0).reduce(new ApplyNeighborReduceFunction<>(
reduceNeighborsFunction)).name("Neighbors function");
case ALL:
// create <vertex-neighbor value> pairs
DataSet<Tuple2<K, VV>> verticesWithNeighborValues = edges
.flatMap(new EmitOneEdgeWithNeighborPerNode<>())
.join(this.vertices).where(1).equalTo(0)
.with(new ProjectNeighborValue<>()).name("Vertex with neighbor value");
return verticesWithNeighborValues.groupBy(0).reduce(new ApplyNeighborReduceFunction<>(
reduceNeighborsFunction)).name("Neighbors function");
default:
throw new IllegalArgumentException("Illegal edge direction");
}
}
|
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] |
Compute a reduce transformation over the neighbors' vertex values of each vertex.
For each vertex, the transformation consecutively calls a
{@link ReduceNeighborsFunction} until only a single value for each vertex remains.
The {@link ReduceNeighborsFunction} combines a pair of neighbor vertex values
into one new value of the same type.
@param reduceNeighborsFunction the reduce function to apply to the neighbors of each vertex.
@param direction the edge direction (in-, out-, all-)
@return a Dataset of Tuple2, with one tuple per vertex.
The first field of the Tuple2 is the vertex ID and the second field
is the aggregate value computed by the provided {@link ReduceNeighborsFunction}.
@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#L2242-L2273
|
train
|
Reduce the data set on neighbors of this graph.
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java
|
SecureUtil.signParams
|
public static String signParams(DigestAlgorithm digestAlgorithm, Map<?, ?> params) {
return signParams(digestAlgorithm, params, StrUtil.EMPTY, StrUtil.EMPTY, true);
}
|
java
|
public static String signParams(DigestAlgorithm digestAlgorithm, Map<?, ?> params) {
return signParams(digestAlgorithm, params, StrUtil.EMPTY, StrUtil.EMPTY, true);
}
|
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对参数做签名<br>
参数签名为对Map参数按照key的顺序排序后拼接为字符串，然后根据提供的签名算法生成签名字符串<br>
拼接后的字符串键值对之间无符号，键值对之间无符号，忽略null值
@param digestAlgorithm 摘要算法
@param params 参数
@return 签名
@since 4.0.1
|
[
"对参数做签名<br",
">",
"参数签名为对Map参数按照key的顺序排序后拼接为字符串，然后根据提供的签名算法生成签名字符串<br",
">",
"拼接后的字符串键值对之间无符号，键值对之间无符号，忽略null值"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L904-L906
|
train
|
Creates a signature string from the given parameters.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/core/fs/FileSystemSafetyNet.java
|
FileSystemSafetyNet.wrapWithSafetyNetWhenActivated
|
static FileSystem wrapWithSafetyNetWhenActivated(FileSystem fs) {
SafetyNetCloseableRegistry reg = REGISTRIES.get();
return reg != null ? new SafetyNetWrapperFileSystem(fs, reg) : fs;
}
|
java
|
static FileSystem wrapWithSafetyNetWhenActivated(FileSystem fs) {
SafetyNetCloseableRegistry reg = REGISTRIES.get();
return reg != null ? new SafetyNetWrapperFileSystem(fs, reg) : fs;
}
|
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/core/fs/FileSystemSafetyNet.java#L131-L134
|
train
|
Wrap a FileSystem with a SafetyNetFileSystem when the system is activated.
|
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looly/hutool
|
hutool-cron/src/main/java/cn/hutool/cron/pattern/CronPatternUtil.java
|
CronPatternUtil.matchedDates
|
public static List<Date> matchedDates(CronPattern pattern, long start, long end, int count, boolean isMatchSecond) {
Assert.isTrue(start < end, "Start date is later than end !");
final List<Date> result = new ArrayList<>(count);
long step = isMatchSecond ? DateUnit.SECOND.getMillis() : DateUnit.MINUTE.getMillis();
for (long i = start; i < end; i += step) {
if (pattern.match(i, isMatchSecond)) {
result.add(DateUtil.date(i));
if (result.size() >= count) {
break;
}
}
}
return result;
}
|
java
|
public static List<Date> matchedDates(CronPattern pattern, long start, long end, int count, boolean isMatchSecond) {
Assert.isTrue(start < end, "Start date is later than end !");
final List<Date> result = new ArrayList<>(count);
long step = isMatchSecond ? DateUnit.SECOND.getMillis() : DateUnit.MINUTE.getMillis();
for (long i = start; i < end; i += step) {
if (pattern.match(i, isMatchSecond)) {
result.add(DateUtil.date(i));
if (result.size() >= count) {
break;
}
}
}
return result;
}
|
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列举指定日期范围内所有匹配表达式的日期
@param pattern 表达式
@param start 起始时间
@param end 结束时间
@param count 列举数量
@param isMatchSecond 是否匹配秒
@return 日期列表
|
[
"列举指定日期范围内所有匹配表达式的日期"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/pattern/CronPatternUtil.java#L70-L84
|
train
|
Returns a list of dates that match the specified cron pattern.
|
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/TypeDescriptor.java
|
TypeDescriptor.getColumnSize
|
public Integer getColumnSize() {
if (type.isNumericType()) {
return getPrecision();
}
switch (type) {
case STRING_TYPE:
case BINARY_TYPE:
return Integer.MAX_VALUE;
case CHAR_TYPE:
case VARCHAR_TYPE:
return typeQualifiers.getCharacterMaximumLength();
case DATE_TYPE:
return 10;
case TIMESTAMP_TYPE:
return 29;
default:
return null;
}
}
|
java
|
public Integer getColumnSize() {
if (type.isNumericType()) {
return getPrecision();
}
switch (type) {
case STRING_TYPE:
case BINARY_TYPE:
return Integer.MAX_VALUE;
case CHAR_TYPE:
case VARCHAR_TYPE:
return typeQualifiers.getCharacterMaximumLength();
case DATE_TYPE:
return 10;
case TIMESTAMP_TYPE:
return 29;
default:
return null;
}
}
|
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The column size for this type.
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For binary data this is the length in bytes.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/TypeDescriptor.java#L103-L121
|
train
|
Get the column size of the column.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/RowComparator.java
|
RowComparator.getFlatComparator
|
@Override
public void getFlatComparator(List<TypeComparator> flatComparators) {
for (NullAwareComparator<Object> c : comparators) {
Collections.addAll(flatComparators, c.getFlatComparators());
}
}
|
java
|
@Override
public void getFlatComparator(List<TypeComparator> flatComparators) {
for (NullAwareComparator<Object> c : comparators) {
Collections.addAll(flatComparators, c.getFlatComparators());
}
}
|
[
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"}"
] |
--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/RowComparator.java#L157-L162
|
train
|
Gets the flat comparators.
|
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looly/hutool
|
hutool-captcha/src/main/java/cn/hutool/captcha/CaptchaUtil.java
|
CaptchaUtil.createShearCaptcha
|
public static ShearCaptcha createShearCaptcha(int width, int height, int codeCount, int thickness) {
return new ShearCaptcha(width, height, codeCount, thickness);
}
|
java
|
public static ShearCaptcha createShearCaptcha(int width, int height, int codeCount, int thickness) {
return new ShearCaptcha(width, height, codeCount, thickness);
}
|
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"width",
",",
"int",
"height",
",",
"int",
"codeCount",
",",
"int",
"thickness",
")",
"{",
"return",
"new",
"ShearCaptcha",
"(",
"width",
",",
"height",
",",
"codeCount",
",",
"thickness",
")",
";",
"}"
] |
创建扭曲干扰的验证码，默认5位验证码
@param width 图片宽
@param height 图片高
@param codeCount 字符个数
@param thickness 干扰线宽度
@return {@link ShearCaptcha}
@since 3.3.0
|
[
"创建扭曲干扰的验证码，默认5位验证码"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-captcha/src/main/java/cn/hutool/captcha/CaptchaUtil.java#L83-L85
|
train
|
Create a ShearCaptcha object.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/IOManager.java
|
IOManager.shutdown
|
public void shutdown() {
// remove all of our temp directories
for (File path : paths) {
try {
if (path != null) {
if (path.exists()) {
FileUtils.deleteDirectory(path);
LOG.info("I/O manager removed spill file directory {}", path.getAbsolutePath());
}
}
} catch (Throwable t) {
LOG.error("IOManager failed to properly clean up temp file directory: " + path, t);
}
}
}
|
java
|
public void shutdown() {
// remove all of our temp directories
for (File path : paths) {
try {
if (path != null) {
if (path.exists()) {
FileUtils.deleteDirectory(path);
LOG.info("I/O manager removed spill file directory {}", path.getAbsolutePath());
}
}
} catch (Throwable t) {
LOG.error("IOManager failed to properly clean up temp file directory: " + path, t);
}
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/IOManager.java#L87-L101
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train
|
Shutdown the IO manager.
|
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netty/netty
|
codec-dns/src/main/java/io/netty/handler/codec/dns/DnsOpCode.java
|
DnsOpCode.valueOf
|
public static DnsOpCode valueOf(int b) {
switch (b) {
case 0x00:
return QUERY;
case 0x01:
return IQUERY;
case 0x02:
return STATUS;
case 0x04:
return NOTIFY;
case 0x05:
return UPDATE;
}
return new DnsOpCode(b);
}
|
java
|
public static DnsOpCode valueOf(int b) {
switch (b) {
case 0x00:
return QUERY;
case 0x01:
return IQUERY;
case 0x02:
return STATUS;
case 0x04:
return NOTIFY;
case 0x05:
return UPDATE;
}
return new DnsOpCode(b);
}
|
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Returns the {@link DnsOpCode} instance of the specified byte value.
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-dns/src/main/java/io/netty/handler/codec/dns/DnsOpCode.java#L56-L71
|
train
|
Gets the DnsOpCode from the given integer.
|
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