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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/SslContextBuilder.java
|
SslContextBuilder.forServer
|
public static SslContextBuilder forServer(File keyCertChainFile, File keyFile) {
return new SslContextBuilder(true).keyManager(keyCertChainFile, keyFile);
}
|
java
|
public static SslContextBuilder forServer(File keyCertChainFile, File keyFile) {
return new SslContextBuilder(true).keyManager(keyCertChainFile, keyFile);
}
|
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Creates a builder for new server-side {@link SslContext}.
@param keyCertChainFile an X.509 certificate chain file in PEM format
@param keyFile a PKCS#8 private key file in PEM format
@see #keyManager(File, File)
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/SslContextBuilder.java#L53-L55
|
train
|
Create a SslContextBuilder for a server using the specified key certificates.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/utils/DataSetUtils.java
|
DataSetUtils.sampleWithSize
|
public static <T> DataSet<T> sampleWithSize(
DataSet <T> input,
final boolean withReplacement,
final int numSamples,
final long seed) {
SampleInPartition<T> sampleInPartition = new SampleInPartition<>(withReplacement, numSamples, seed);
MapPartitionOperator mapPartitionOperator = input.mapPartition(sampleInPartition);
// There is no previous group, so the parallelism of GroupReduceOperator is always 1.
String callLocation = Utils.getCallLocationName();
SampleInCoordinator<T> sampleInCoordinator = new SampleInCoordinator<>(withReplacement, numSamples, seed);
return new GroupReduceOperator<>(mapPartitionOperator, input.getType(), sampleInCoordinator, callLocation);
}
|
java
|
public static <T> DataSet<T> sampleWithSize(
DataSet <T> input,
final boolean withReplacement,
final int numSamples,
final long seed) {
SampleInPartition<T> sampleInPartition = new SampleInPartition<>(withReplacement, numSamples, seed);
MapPartitionOperator mapPartitionOperator = input.mapPartition(sampleInPartition);
// There is no previous group, so the parallelism of GroupReduceOperator is always 1.
String callLocation = Utils.getCallLocationName();
SampleInCoordinator<T> sampleInCoordinator = new SampleInCoordinator<>(withReplacement, numSamples, seed);
return new GroupReduceOperator<>(mapPartitionOperator, input.getType(), sampleInCoordinator, callLocation);
}
|
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Generate a sample of DataSet which contains fixed size elements.
<p><strong>NOTE:</strong> Sample with fixed size is not as efficient as sample with fraction, use sample with
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@param withReplacement Whether element can be selected more than once.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/DataSetUtils.java#L251-L264
|
train
|
Samples a DataSet of type T with a given number of samples.
|
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|
spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/health/HealthWebEndpointResponseMapper.java
|
HealthWebEndpointResponseMapper.mapDetails
|
public WebEndpointResponse<Health> mapDetails(Supplier<Health> health,
SecurityContext securityContext) {
if (canSeeDetails(securityContext, this.showDetails)) {
Health healthDetails = health.get();
if (healthDetails != null) {
return createWebEndpointResponse(healthDetails);
}
}
return new WebEndpointResponse<>(WebEndpointResponse.STATUS_NOT_FOUND);
}
|
java
|
public WebEndpointResponse<Health> mapDetails(Supplier<Health> health,
SecurityContext securityContext) {
if (canSeeDetails(securityContext, this.showDetails)) {
Health healthDetails = health.get();
if (healthDetails != null) {
return createWebEndpointResponse(healthDetails);
}
}
return new WebEndpointResponse<>(WebEndpointResponse.STATUS_NOT_FOUND);
}
|
[
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Maps the given {@code health} details to a {@link WebEndpointResponse}, honouring
the mapper's default {@link ShowDetails} using the given {@code securityContext}.
<p>
If the current user does not have the right to see the details, the
{@link Supplier} is not invoked and a 404 response is returned instead.
@param health the provider of health details, invoked if the current user has the
right to see them
@param securityContext the security context
@return the mapped response
|
[
"Maps",
"the",
"given",
"{"
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/health/HealthWebEndpointResponseMapper.java#L58-L67
|
train
|
Map the health to details.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/word/TermFrequencyCounter.java
|
TermFrequencyCounter.getKeywords
|
@Override
public List<String> getKeywords(List<Term> termList, int size)
{
clear();
add(termList);
Collection<TermFrequency> topN = top(size);
List<String> r = new ArrayList<String>(topN.size());
for (TermFrequency termFrequency : topN)
{
r.add(termFrequency.getTerm());
}
return r;
}
|
java
|
@Override
public List<String> getKeywords(List<Term> termList, int size)
{
clear();
add(termList);
Collection<TermFrequency> topN = top(size);
List<String> r = new ArrayList<String>(topN.size());
for (TermFrequency termFrequency : topN)
{
r.add(termFrequency.getTerm());
}
return r;
}
|
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提取关键词（非线程安全）
@param termList
@param size
@return
|
[
"提取关键词（非线程安全）"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/word/TermFrequencyCounter.java#L219-L231
|
train
|
Get a list of words from a list of terms.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/logging/LogFile.java
|
LogFile.applyTo
|
public void applyTo(Properties properties) {
put(properties, LoggingSystemProperties.LOG_PATH, this.path);
put(properties, LoggingSystemProperties.LOG_FILE, toString());
}
|
java
|
public void applyTo(Properties properties) {
put(properties, LoggingSystemProperties.LOG_PATH, this.path);
put(properties, LoggingSystemProperties.LOG_FILE, toString());
}
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Apply log file details to {@code LOG_PATH} and {@code LOG_FILE} map entries.
@param properties the properties to apply to
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/logging/LogFile.java#L105-L108
|
train
|
Set the logging properties to the given properties object.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java
|
DateUtil.parse
|
public static DateTime parse(String dateStr) {
if (null == dateStr) {
return null;
}
// 去掉两边空格并去掉中文日期中的“日”，以规范长度
dateStr = dateStr.trim().replace("日", "");
int length = dateStr.length();
if (Validator.isNumber(dateStr)) {
// 纯数字形式
if (length == DatePattern.PURE_DATETIME_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_DATETIME_FORMAT);
} else if (length == DatePattern.PURE_DATETIME_MS_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_DATETIME_MS_FORMAT);
} else if (length == DatePattern.PURE_DATE_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_DATE_FORMAT);
} else if (length == DatePattern.PURE_TIME_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_TIME_FORMAT);
}
}
if (length == DatePattern.NORM_DATETIME_PATTERN.length() || length == DatePattern.NORM_DATETIME_PATTERN.length() + 1) {
if (dateStr.contains("T")) {
// UTC时间格式：类似2018-09-13T05:34:31
return parseUTC(dateStr);
}
return parseDateTime(dateStr);
} else if (length == DatePattern.NORM_DATE_PATTERN.length()) {
return parseDate(dateStr);
} else if (length == DatePattern.NORM_TIME_PATTERN.length() || length == DatePattern.NORM_TIME_PATTERN.length() + 1) {
return parseTimeToday(dateStr);
} else if (length == DatePattern.NORM_DATETIME_MINUTE_PATTERN.length() || length == DatePattern.NORM_DATETIME_MINUTE_PATTERN.length() + 1) {
return parse(normalize(dateStr), DatePattern.NORM_DATETIME_MINUTE_FORMAT);
} else if (length >= DatePattern.NORM_DATETIME_MS_PATTERN.length() - 2) {
return parse(normalize(dateStr), DatePattern.NORM_DATETIME_MS_FORMAT);
}
// 没有更多匹配的时间格式
throw new DateException("No format fit for date String [{}] !", dateStr);
}
|
java
|
public static DateTime parse(String dateStr) {
if (null == dateStr) {
return null;
}
// 去掉两边空格并去掉中文日期中的“日”，以规范长度
dateStr = dateStr.trim().replace("日", "");
int length = dateStr.length();
if (Validator.isNumber(dateStr)) {
// 纯数字形式
if (length == DatePattern.PURE_DATETIME_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_DATETIME_FORMAT);
} else if (length == DatePattern.PURE_DATETIME_MS_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_DATETIME_MS_FORMAT);
} else if (length == DatePattern.PURE_DATE_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_DATE_FORMAT);
} else if (length == DatePattern.PURE_TIME_PATTERN.length()) {
return parse(dateStr, DatePattern.PURE_TIME_FORMAT);
}
}
if (length == DatePattern.NORM_DATETIME_PATTERN.length() || length == DatePattern.NORM_DATETIME_PATTERN.length() + 1) {
if (dateStr.contains("T")) {
// UTC时间格式：类似2018-09-13T05:34:31
return parseUTC(dateStr);
}
return parseDateTime(dateStr);
} else if (length == DatePattern.NORM_DATE_PATTERN.length()) {
return parseDate(dateStr);
} else if (length == DatePattern.NORM_TIME_PATTERN.length() || length == DatePattern.NORM_TIME_PATTERN.length() + 1) {
return parseTimeToday(dateStr);
} else if (length == DatePattern.NORM_DATETIME_MINUTE_PATTERN.length() || length == DatePattern.NORM_DATETIME_MINUTE_PATTERN.length() + 1) {
return parse(normalize(dateStr), DatePattern.NORM_DATETIME_MINUTE_FORMAT);
} else if (length >= DatePattern.NORM_DATETIME_MS_PATTERN.length() - 2) {
return parse(normalize(dateStr), DatePattern.NORM_DATETIME_MS_FORMAT);
}
// 没有更多匹配的时间格式
throw new DateException("No format fit for date String [{}] !", dateStr);
}
|
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"// 去掉两边空格并去掉中文日期中的“日”，以规范长度\r",
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] |
将日期字符串转换为{@link DateTime}对象，格式：<br>
<ol>
<li>yyyy-MM-dd HH:mm:ss</li>
<li>yyyy/MM/dd HH:mm:ss</li>
<li>yyyy.MM.dd HH:mm:ss</li>
<li>yyyy年MM月dd日 HH时mm分ss秒</li>
<li>yyyy-MM-dd</li>
<li>yyyy/MM/dd</li>
<li>yyyy.MM.dd</li>
<li>HH:mm:ss</li>
<li>HH时mm分ss秒</li>
<li>yyyy-MM-dd HH:mm</li>
<li>yyyy-MM-dd HH:mm:ss.SSS</li>
<li>yyyyMMddHHmmss</li>
<li>yyyyMMddHHmmssSSS</li>
<li>yyyyMMdd</li>
<li>EEE, dd MMM yyyy HH:mm:ss z</li>
<li>EEE MMM dd HH:mm:ss zzz yyyy</li>
</ol>
@param dateStr 日期字符串
@return 日期
|
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"ol",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java#L703-L742
|
train
|
Parses a string containing a date and returns the corresponding DateTime object.
|
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/ServletListenerRegistrationBean.java
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ServletListenerRegistrationBean.setListener
|
public void setListener(T listener) {
Assert.notNull(listener, "Listener must not be null");
Assert.isTrue(isSupportedType(listener), "Listener is not of a supported type");
this.listener = listener;
}
|
java
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public void setListener(T listener) {
Assert.notNull(listener, "Listener must not be null");
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this.listener = listener;
}
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/ServletListenerRegistrationBean.java#L94-L98
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train
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Sets the listener.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/utils/DataSetUtils.java
|
DataSetUtils.countElementsPerPartition
|
public static <T> DataSet<Tuple2<Integer, Long>> countElementsPerPartition(DataSet<T> input) {
return input.mapPartition(new RichMapPartitionFunction<T, Tuple2<Integer, Long>>() {
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public void mapPartition(Iterable<T> values, Collector<Tuple2<Integer, Long>> out) throws Exception {
long counter = 0;
for (T value : values) {
counter++;
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out.collect(new Tuple2<>(getRuntimeContext().getIndexOfThisSubtask(), counter));
}
});
}
|
java
|
public static <T> DataSet<Tuple2<Integer, Long>> countElementsPerPartition(DataSet<T> input) {
return input.mapPartition(new RichMapPartitionFunction<T, Tuple2<Integer, Long>>() {
@Override
public void mapPartition(Iterable<T> values, Collector<Tuple2<Integer, Long>> out) throws Exception {
long counter = 0;
for (T value : values) {
counter++;
}
out.collect(new Tuple2<>(getRuntimeContext().getIndexOfThisSubtask(), counter));
}
});
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/DataSetUtils.java#L69-L80
|
train
|
Counts the number of elements in each partition.
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apache/incubator-shardingsphere
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sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/antlr/filler/common/dml/OrderItemBuilder.java
|
OrderItemBuilder.createOrderItem
|
public OrderItem createOrderItem() {
if (orderByItemSegment instanceof IndexOrderByItemSegment) {
return createOrderItem((IndexOrderByItemSegment) orderByItemSegment);
}
if (orderByItemSegment instanceof ColumnOrderByItemSegment) {
return createOrderItem(selectStatement, (ColumnOrderByItemSegment) orderByItemSegment);
}
if (orderByItemSegment instanceof ExpressionOrderByItemSegment) {
return createOrderItem(selectStatement, (ExpressionOrderByItemSegment) orderByItemSegment);
}
throw new UnsupportedOperationException();
}
|
java
|
public OrderItem createOrderItem() {
if (orderByItemSegment instanceof IndexOrderByItemSegment) {
return createOrderItem((IndexOrderByItemSegment) orderByItemSegment);
}
if (orderByItemSegment instanceof ColumnOrderByItemSegment) {
return createOrderItem(selectStatement, (ColumnOrderByItemSegment) orderByItemSegment);
}
if (orderByItemSegment instanceof ExpressionOrderByItemSegment) {
return createOrderItem(selectStatement, (ExpressionOrderByItemSegment) orderByItemSegment);
}
throw new UnsupportedOperationException();
}
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Create order item.
@return order item
|
[
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"item",
"."
] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/antlr/filler/common/dml/OrderItemBuilder.java#L46-L57
|
train
|
Create an OrderItem object from the given order item segment.
|
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looly/hutool
|
hutool-log/src/main/java/cn/hutool/log/dialect/log4j/Log4jLog.java
|
Log4jLog.log
|
@Override
public void log(cn.hutool.log.level.Level level, String format, Object... arguments) {
log(level, null, format, arguments);
}
|
java
|
@Override
public void log(cn.hutool.log.level.Level level, String format, Object... arguments) {
log(level, null, format, arguments);
}
|
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] |
------------------------------------------------------------------------- Log
|
[
"-------------------------------------------------------------------------",
"Log"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-log/src/main/java/cn/hutool/log/dialect/log4j/Log4jLog.java#L120-L123
|
train
|
Override this method to log a message at the specified level.
|
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30526
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apache/flink
|
flink-formats/flink-csv/src/main/java/org/apache/flink/table/descriptors/Csv.java
|
Csv.arrayElementDelimiter
|
public Csv arrayElementDelimiter(String delimiter) {
Preconditions.checkNotNull(delimiter);
internalProperties.putString(FORMAT_ARRAY_ELEMENT_DELIMITER, delimiter);
return this;
}
|
java
|
public Csv arrayElementDelimiter(String delimiter) {
Preconditions.checkNotNull(delimiter);
internalProperties.putString(FORMAT_ARRAY_ELEMENT_DELIMITER, delimiter);
return this;
}
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Sets the array element delimiter string for separating array or row element
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-formats/flink-csv/src/main/java/org/apache/flink/table/descriptors/Csv.java#L122-L126
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train
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Sets the delimiter used to separate the array elements in the CSV file.
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30526
] |
apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/typeutils/BinaryRowSerializer.java
|
BinaryRowSerializer.pointTo
|
public void pointTo(int length, BinaryRow reuse, AbstractPagedInputView headerLessView)
throws IOException {
checkArgument(headerLessView.getHeaderLength() == 0);
if (length < 0) {
throw new IOException(String.format(
"Read unexpected bytes in source of positionInSegment[%d] and limitInSegment[%d]",
headerLessView.getCurrentPositionInSegment(),
headerLessView.getCurrentSegmentLimit()
));
}
int remainInSegment = headerLessView.getCurrentSegmentLimit()
- headerLessView.getCurrentPositionInSegment();
MemorySegment currSeg = headerLessView.getCurrentSegment();
int currPosInSeg = headerLessView.getCurrentPositionInSegment();
if (remainInSegment >= length) {
// all in one segment, that's good.
reuse.pointTo(currSeg, currPosInSeg, length);
headerLessView.skipBytesToRead(length);
} else {
pointToMultiSegments(
reuse,
headerLessView,
length,
length - remainInSegment,
currSeg,
currPosInSeg
);
}
}
|
java
|
public void pointTo(int length, BinaryRow reuse, AbstractPagedInputView headerLessView)
throws IOException {
checkArgument(headerLessView.getHeaderLength() == 0);
if (length < 0) {
throw new IOException(String.format(
"Read unexpected bytes in source of positionInSegment[%d] and limitInSegment[%d]",
headerLessView.getCurrentPositionInSegment(),
headerLessView.getCurrentSegmentLimit()
));
}
int remainInSegment = headerLessView.getCurrentSegmentLimit()
- headerLessView.getCurrentPositionInSegment();
MemorySegment currSeg = headerLessView.getCurrentSegment();
int currPosInSeg = headerLessView.getCurrentPositionInSegment();
if (remainInSegment >= length) {
// all in one segment, that's good.
reuse.pointTo(currSeg, currPosInSeg, length);
headerLessView.skipBytesToRead(length);
} else {
pointToMultiSegments(
reuse,
headerLessView,
length,
length - remainInSegment,
currSeg,
currPosInSeg
);
}
}
|
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] |
Point row to memory segments with offset(in the AbstractPagedInputView) and length.
@param length row length.
@param reuse reuse BinaryRow object.
@param headerLessView source memory segments container.
|
[
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"segments",
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"offset",
"(",
"in",
"the",
"AbstractPagedInputView",
")",
"and",
"length",
"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/typeutils/BinaryRowSerializer.java#L224-L253
|
train
|
This method points to the given length of the input.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/date/format/FastDateParser.java
|
FastDateParser.simpleQuote
|
private static StringBuilder simpleQuote(final StringBuilder sb, final String value) {
for (int i = 0; i < value.length(); ++i) {
final char c = value.charAt(i);
switch (c) {
case '\\':
case '^':
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case '.':
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case '?':
case '*':
case '+':
case '(':
case ')':
case '[':
case '{':
sb.append('\\');
default:
sb.append(c);
}
}
return sb;
}
|
java
|
private static StringBuilder simpleQuote(final StringBuilder sb, final String value) {
for (int i = 0; i < value.length(); ++i) {
final char c = value.charAt(i);
switch (c) {
case '\\':
case '^':
case '$':
case '.':
case '|':
case '?':
case '*':
case '+':
case '(':
case ')':
case '[':
case '{':
sb.append('\\');
default:
sb.append(c);
}
}
return sb;
}
|
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] |
-----------------------------------------------------------------------
|
[
"-----------------------------------------------------------------------"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/format/FastDateParser.java#L272-L294
|
train
|
Simple quote.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/types/ResourceProfile.java
|
ResourceProfile.isMatching
|
public boolean isMatching(ResourceProfile required) {
if (required == UNKNOWN) {
return true;
}
if (cpuCores >= required.getCpuCores() &&
heapMemoryInMB >= required.getHeapMemoryInMB() &&
directMemoryInMB >= required.getDirectMemoryInMB() &&
nativeMemoryInMB >= required.getNativeMemoryInMB() &&
networkMemoryInMB >= required.getNetworkMemoryInMB()) {
for (Map.Entry<String, Resource> resource : required.extendedResources.entrySet()) {
if (!extendedResources.containsKey(resource.getKey()) ||
!extendedResources.get(resource.getKey()).getResourceAggregateType().equals(resource.getValue().getResourceAggregateType()) ||
extendedResources.get(resource.getKey()).getValue() < resource.getValue().getValue()) {
return false;
}
}
return true;
}
return false;
}
|
java
|
public boolean isMatching(ResourceProfile required) {
if (required == UNKNOWN) {
return true;
}
if (cpuCores >= required.getCpuCores() &&
heapMemoryInMB >= required.getHeapMemoryInMB() &&
directMemoryInMB >= required.getDirectMemoryInMB() &&
nativeMemoryInMB >= required.getNativeMemoryInMB() &&
networkMemoryInMB >= required.getNetworkMemoryInMB()) {
for (Map.Entry<String, Resource> resource : required.extendedResources.entrySet()) {
if (!extendedResources.containsKey(resource.getKey()) ||
!extendedResources.get(resource.getKey()).getResourceAggregateType().equals(resource.getValue().getResourceAggregateType()) ||
extendedResources.get(resource.getKey()).getValue() < resource.getValue().getValue()) {
return false;
}
}
return true;
}
return false;
}
|
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Check whether required resource profile can be matched.
@param required the required resource profile
@return true if the requirement is matched, otherwise false
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/types/ResourceProfile.java#L208-L229
|
train
|
Checks if the resource profile is matching the specified resource profile.
|
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apache/spark
|
common/network-common/src/main/java/org/apache/spark/network/TransportContext.java
|
TransportContext.createChunkFetchHandler
|
private ChunkFetchRequestHandler createChunkFetchHandler(TransportChannelHandler channelHandler,
RpcHandler rpcHandler) {
return new ChunkFetchRequestHandler(channelHandler.getClient(),
rpcHandler.getStreamManager(), conf.maxChunksBeingTransferred());
}
|
java
|
private ChunkFetchRequestHandler createChunkFetchHandler(TransportChannelHandler channelHandler,
RpcHandler rpcHandler) {
return new ChunkFetchRequestHandler(channelHandler.getClient(),
rpcHandler.getStreamManager(), conf.maxChunksBeingTransferred());
}
|
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".",
"maxChunksBeingTransferred",
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Creates the dedicated ChannelHandler for ChunkFetchRequest messages.
|
[
"Creates",
"the",
"dedicated",
"ChannelHandler",
"for",
"ChunkFetchRequest",
"messages",
"."
] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/TransportContext.java#L229-L233
|
train
|
Create a ChunkFetchRequestHandler
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/text/Simhash.java
|
Simhash.hash
|
public long hash(Collection<? extends CharSequence> segList) {
final int bitNum = this.bitNum;
// 按照词语的hash值，计算simHashWeight(低位对齐)
final int[] weight = new int[bitNum];
long wordHash;
for (CharSequence seg : segList) {
wordHash = MurmurHash.hash64(seg);
for (int i = 0; i < bitNum; i++) {
if (((wordHash >> i) & 1) == 1)
weight[i] += 1;
else
weight[i] -= 1;
}
}
// 计算得到Simhash值
final StringBuilder sb = new StringBuilder();
for (int i = 0; i < bitNum; i++) {
sb.append((weight[i] > 0) ? 1 : 0);
}
return new BigInteger(sb.toString(), 2).longValue();
}
|
java
|
public long hash(Collection<? extends CharSequence> segList) {
final int bitNum = this.bitNum;
// 按照词语的hash值，计算simHashWeight(低位对齐)
final int[] weight = new int[bitNum];
long wordHash;
for (CharSequence seg : segList) {
wordHash = MurmurHash.hash64(seg);
for (int i = 0; i < bitNum; i++) {
if (((wordHash >> i) & 1) == 1)
weight[i] += 1;
else
weight[i] -= 1;
}
}
// 计算得到Simhash值
final StringBuilder sb = new StringBuilder();
for (int i = 0; i < bitNum; i++) {
sb.append((weight[i] > 0) ? 1 : 0);
}
return new BigInteger(sb.toString(), 2).longValue();
}
|
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] |
指定文本计算simhash值
@param segList 分词的词列表
@return Hash值
|
[
"指定文本计算simhash值"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/text/Simhash.java#L70-L92
|
train
|
hash a list of CharSequences
|
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apache/incubator-shardingsphere
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sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/antlr/filler/common/dml/PredicateUtils.java
|
PredicateUtils.createBetweenCondition
|
public static Optional<Condition> createBetweenCondition(final PredicateBetweenRightValue betweenRightValue, final Column column) {
return betweenRightValue.getBetweenExpression() instanceof SimpleExpressionSegment && betweenRightValue.getAndExpression() instanceof SimpleExpressionSegment
? Optional.of(new Condition(column,
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: Optional.<Condition>absent();
}
|
java
|
public static Optional<Condition> createBetweenCondition(final PredicateBetweenRightValue betweenRightValue, final Column column) {
return betweenRightValue.getBetweenExpression() instanceof SimpleExpressionSegment && betweenRightValue.getAndExpression() instanceof SimpleExpressionSegment
? Optional.of(new Condition(column,
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: Optional.<Condition>absent();
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/antlr/filler/common/dml/PredicateUtils.java#L132-L137
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train
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Create between condition Optional.
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apache/flink
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/sharedbuffer/SharedBufferAccessor.java
|
SharedBufferAccessor.put
|
public NodeId put(
final String stateName,
final EventId eventId,
@Nullable final NodeId previousNodeId,
final DeweyNumber version) {
if (previousNodeId != null) {
lockNode(previousNodeId);
}
NodeId currentNodeId = new NodeId(eventId, getOriginalNameFromInternal(stateName));
Lockable<SharedBufferNode> currentNode = sharedBuffer.getEntry(currentNodeId);
if (currentNode == null) {
currentNode = new Lockable<>(new SharedBufferNode(), 0);
lockEvent(eventId);
}
currentNode.getElement().addEdge(new SharedBufferEdge(
previousNodeId,
version));
sharedBuffer.upsertEntry(currentNodeId, currentNode);
return currentNodeId;
}
|
java
|
public NodeId put(
final String stateName,
final EventId eventId,
@Nullable final NodeId previousNodeId,
final DeweyNumber version) {
if (previousNodeId != null) {
lockNode(previousNodeId);
}
NodeId currentNodeId = new NodeId(eventId, getOriginalNameFromInternal(stateName));
Lockable<SharedBufferNode> currentNode = sharedBuffer.getEntry(currentNodeId);
if (currentNode == null) {
currentNode = new Lockable<>(new SharedBufferNode(), 0);
lockEvent(eventId);
}
currentNode.getElement().addEdge(new SharedBufferEdge(
previousNodeId,
version));
sharedBuffer.upsertEntry(currentNodeId, currentNode);
return currentNodeId;
}
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@return assigned id of this element
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/sharedbuffer/SharedBufferAccessor.java#L87-L110
|
train
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Put a new node in the shared buffer.
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/typeutils/TypeSerializerSchemaCompatibility.java
|
TypeSerializerSchemaCompatibility.getReconfiguredSerializer
|
public TypeSerializer<T> getReconfiguredSerializer() {
Preconditions.checkState(
isCompatibleWithReconfiguredSerializer(),
"It is only possible to get a reconfigured serializer if the compatibility type is %s, but the type is %s",
Type.COMPATIBLE_WITH_RECONFIGURED_SERIALIZER, resultType);
return reconfiguredNewSerializer;
}
|
java
|
public TypeSerializer<T> getReconfiguredSerializer() {
Preconditions.checkState(
isCompatibleWithReconfiguredSerializer(),
"It is only possible to get a reconfigured serializer if the compatibility type is %s, but the type is %s",
Type.COMPATIBLE_WITH_RECONFIGURED_SERIALIZER, resultType);
return reconfiguredNewSerializer;
}
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/typeutils/TypeSerializerSchemaCompatibility.java#L164-L170
|
train
|
Gets the reconfigured serializer.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/nr/PersonDictionary.java
|
PersonDictionary.parsePattern
|
public static void parsePattern(List<NR> nrList, List<Vertex> vertexList, final WordNet wordNetOptimum, final WordNet wordNetAll)
{
// 拆分UV
ListIterator<Vertex> listIterator = vertexList.listIterator();
StringBuilder sbPattern = new StringBuilder(nrList.size());
NR preNR = NR.A;
boolean backUp = false;
int index = 0;
for (NR nr : nrList)
{
++index;
Vertex current = listIterator.next();
// logger.trace("{}/{}", current.realWord, nr);
switch (nr)
{
case U:
if (!backUp)
{
vertexList = new ArrayList<Vertex>(vertexList);
listIterator = vertexList.listIterator(index);
backUp = true;
}
sbPattern.append(NR.K.toString());
sbPattern.append(NR.B.toString());
preNR = B;
listIterator.previous();
String nowK = current.realWord.substring(0, current.realWord.length() - 1);
String nowB = current.realWord.substring(current.realWord.length() - 1);
listIterator.set(new Vertex(nowK));
listIterator.next();
listIterator.add(new Vertex(nowB));
continue;
case V:
if (!backUp)
{
vertexList = new ArrayList<Vertex>(vertexList);
listIterator = vertexList.listIterator(index);
backUp = true;
}
if (preNR == B)
{
sbPattern.append(NR.E.toString()); //BE
}
else
{
sbPattern.append(NR.D.toString()); //CD
}
sbPattern.append(NR.L.toString());
// 对串也做一些修改
listIterator.previous();
String EorD = current.realWord.substring(0, 1);
String L = current.realWord.substring(1, current.realWord.length());
listIterator.set(new Vertex(EorD));
listIterator.next();
listIterator.add(new Vertex(L));
continue;
default:
sbPattern.append(nr.toString());
break;
}
preNR = nr;
}
String pattern = sbPattern.toString();
// logger.trace("模式串：{}", pattern);
// logger.trace("对应串：{}", vertexList);
// if (pattern.length() != vertexList.size())
// {
// logger.warn("人名识别模式串有bug", pattern, vertexList);
// return;
// }
final Vertex[] wordArray = vertexList.toArray(new Vertex[0]);
final int[] offsetArray = new int[wordArray.length];
offsetArray[0] = 0;
for (int i = 1; i < wordArray.length; ++i)
{
offsetArray[i] = offsetArray[i - 1] + wordArray[i - 1].realWord.length();
}
trie.parseText(pattern, new AhoCorasickDoubleArrayTrie.IHit<NRPattern>()
{
@Override
public void hit(int begin, int end, NRPattern value)
{
// logger.trace("匹配到：{}", keyword);
StringBuilder sbName = new StringBuilder();
for (int i = begin; i < end; ++i)
{
sbName.append(wordArray[i].realWord);
}
String name = sbName.toString();
// logger.trace("识别出：{}", name);
// 对一些bad case做出调整
switch (value)
{
case BCD:
if (name.charAt(0) == name.charAt(2)) return; // 姓和最后一个名不可能相等的
// String cd = name.substring(1);
// if (CoreDictionary.contains(cd))
// {
// EnumItem<NR> item = PersonDictionary.dictionary.get(cd);
// if (item == null || !item.containsLabel(Z)) return; // 三字名字但是后两个字不在词典中，有很大可能性是误命中
// }
break;
}
if (isBadCase(name)) return;
// 正式算它是一个名字
if (HanLP.Config.DEBUG)
{
System.out.printf("识别出人名：%s %s\n", name, value);
}
int offset = offsetArray[begin];
wordNetOptimum.insert(offset, new Vertex(Predefine.TAG_PEOPLE, name, ATTRIBUTE, WORD_ID), wordNetAll);
}
});
}
|
java
|
public static void parsePattern(List<NR> nrList, List<Vertex> vertexList, final WordNet wordNetOptimum, final WordNet wordNetAll)
{
// 拆分UV
ListIterator<Vertex> listIterator = vertexList.listIterator();
StringBuilder sbPattern = new StringBuilder(nrList.size());
NR preNR = NR.A;
boolean backUp = false;
int index = 0;
for (NR nr : nrList)
{
++index;
Vertex current = listIterator.next();
// logger.trace("{}/{}", current.realWord, nr);
switch (nr)
{
case U:
if (!backUp)
{
vertexList = new ArrayList<Vertex>(vertexList);
listIterator = vertexList.listIterator(index);
backUp = true;
}
sbPattern.append(NR.K.toString());
sbPattern.append(NR.B.toString());
preNR = B;
listIterator.previous();
String nowK = current.realWord.substring(0, current.realWord.length() - 1);
String nowB = current.realWord.substring(current.realWord.length() - 1);
listIterator.set(new Vertex(nowK));
listIterator.next();
listIterator.add(new Vertex(nowB));
continue;
case V:
if (!backUp)
{
vertexList = new ArrayList<Vertex>(vertexList);
listIterator = vertexList.listIterator(index);
backUp = true;
}
if (preNR == B)
{
sbPattern.append(NR.E.toString()); //BE
}
else
{
sbPattern.append(NR.D.toString()); //CD
}
sbPattern.append(NR.L.toString());
// 对串也做一些修改
listIterator.previous();
String EorD = current.realWord.substring(0, 1);
String L = current.realWord.substring(1, current.realWord.length());
listIterator.set(new Vertex(EorD));
listIterator.next();
listIterator.add(new Vertex(L));
continue;
default:
sbPattern.append(nr.toString());
break;
}
preNR = nr;
}
String pattern = sbPattern.toString();
// logger.trace("模式串：{}", pattern);
// logger.trace("对应串：{}", vertexList);
// if (pattern.length() != vertexList.size())
// {
// logger.warn("人名识别模式串有bug", pattern, vertexList);
// return;
// }
final Vertex[] wordArray = vertexList.toArray(new Vertex[0]);
final int[] offsetArray = new int[wordArray.length];
offsetArray[0] = 0;
for (int i = 1; i < wordArray.length; ++i)
{
offsetArray[i] = offsetArray[i - 1] + wordArray[i - 1].realWord.length();
}
trie.parseText(pattern, new AhoCorasickDoubleArrayTrie.IHit<NRPattern>()
{
@Override
public void hit(int begin, int end, NRPattern value)
{
// logger.trace("匹配到：{}", keyword);
StringBuilder sbName = new StringBuilder();
for (int i = begin; i < end; ++i)
{
sbName.append(wordArray[i].realWord);
}
String name = sbName.toString();
// logger.trace("识别出：{}", name);
// 对一些bad case做出调整
switch (value)
{
case BCD:
if (name.charAt(0) == name.charAt(2)) return; // 姓和最后一个名不可能相等的
// String cd = name.substring(1);
// if (CoreDictionary.contains(cd))
// {
// EnumItem<NR> item = PersonDictionary.dictionary.get(cd);
// if (item == null || !item.containsLabel(Z)) return; // 三字名字但是后两个字不在词典中，有很大可能性是误命中
// }
break;
}
if (isBadCase(name)) return;
// 正式算它是一个名字
if (HanLP.Config.DEBUG)
{
System.out.printf("识别出人名：%s %s\n", name, value);
}
int offset = offsetArray[begin];
wordNetOptimum.insert(offset, new Vertex(Predefine.TAG_PEOPLE, name, ATTRIBUTE, WORD_ID), wordNetAll);
}
});
}
|
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] |
模式匹配
@param nrList 确定的标注序列
@param vertexList 原始的未加角色标注的序列
@param wordNetOptimum 待优化的图
@param wordNetAll 全词图
|
[
"模式匹配"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/nr/PersonDictionary.java#L81-L195
|
train
|
Parse the pattern.
|
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apache/flink
|
flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/QueryableStateClient.java
|
QueryableStateClient.getKvState
|
private <K, N, S extends State, V> CompletableFuture<S> getKvState(
final JobID jobId,
final String queryableStateName,
final K key,
final N namespace,
final TypeInformation<K> keyTypeInfo,
final TypeInformation<N> namespaceTypeInfo,
final StateDescriptor<S, V> stateDescriptor) {
Preconditions.checkNotNull(jobId);
Preconditions.checkNotNull(queryableStateName);
Preconditions.checkNotNull(key);
Preconditions.checkNotNull(namespace);
Preconditions.checkNotNull(keyTypeInfo);
Preconditions.checkNotNull(namespaceTypeInfo);
Preconditions.checkNotNull(stateDescriptor);
TypeSerializer<K> keySerializer = keyTypeInfo.createSerializer(executionConfig);
TypeSerializer<N> namespaceSerializer = namespaceTypeInfo.createSerializer(executionConfig);
stateDescriptor.initializeSerializerUnlessSet(executionConfig);
final byte[] serializedKeyAndNamespace;
try {
serializedKeyAndNamespace = KvStateSerializer
.serializeKeyAndNamespace(key, keySerializer, namespace, namespaceSerializer);
} catch (IOException e) {
return FutureUtils.getFailedFuture(e);
}
return getKvState(jobId, queryableStateName, key.hashCode(), serializedKeyAndNamespace)
.thenApply(stateResponse -> createState(stateResponse, stateDescriptor));
}
|
java
|
private <K, N, S extends State, V> CompletableFuture<S> getKvState(
final JobID jobId,
final String queryableStateName,
final K key,
final N namespace,
final TypeInformation<K> keyTypeInfo,
final TypeInformation<N> namespaceTypeInfo,
final StateDescriptor<S, V> stateDescriptor) {
Preconditions.checkNotNull(jobId);
Preconditions.checkNotNull(queryableStateName);
Preconditions.checkNotNull(key);
Preconditions.checkNotNull(namespace);
Preconditions.checkNotNull(keyTypeInfo);
Preconditions.checkNotNull(namespaceTypeInfo);
Preconditions.checkNotNull(stateDescriptor);
TypeSerializer<K> keySerializer = keyTypeInfo.createSerializer(executionConfig);
TypeSerializer<N> namespaceSerializer = namespaceTypeInfo.createSerializer(executionConfig);
stateDescriptor.initializeSerializerUnlessSet(executionConfig);
final byte[] serializedKeyAndNamespace;
try {
serializedKeyAndNamespace = KvStateSerializer
.serializeKeyAndNamespace(key, keySerializer, namespace, namespaceSerializer);
} catch (IOException e) {
return FutureUtils.getFailedFuture(e);
}
return getKvState(jobId, queryableStateName, key.hashCode(), serializedKeyAndNamespace)
.thenApply(stateResponse -> createState(stateResponse, stateDescriptor));
}
|
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Returns a future holding the request result.
@param jobId JobID of the job the queryable state belongs to.
@param queryableStateName Name under which the state is queryable.
@param key The key that the state we request is associated with.
@param namespace The namespace of the state.
@param keyTypeInfo The {@link TypeInformation} of the keys.
@param namespaceTypeInfo The {@link TypeInformation} of the namespace.
@param stateDescriptor The {@link StateDescriptor} of the state we want to query.
@return Future holding the immutable {@link State} object containing the result.
|
[
"Returns",
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"holding",
"the",
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/QueryableStateClient.java#L242-L275
|
train
|
Gets the state for the given key and namespace.
|
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apache/flink
|
flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/KinesisDataFetcher.java
|
KinesisDataFetcher.discoverNewShardsToSubscribe
|
public List<StreamShardHandle> discoverNewShardsToSubscribe() throws InterruptedException {
List<StreamShardHandle> newShardsToSubscribe = new LinkedList<>();
GetShardListResult shardListResult = kinesis.getShardList(subscribedStreamsToLastDiscoveredShardIds);
if (shardListResult.hasRetrievedShards()) {
Set<String> streamsWithNewShards = shardListResult.getStreamsWithRetrievedShards();
for (String stream : streamsWithNewShards) {
List<StreamShardHandle> newShardsOfStream = shardListResult.getRetrievedShardListOfStream(stream);
for (StreamShardHandle newShard : newShardsOfStream) {
int hashCode = shardAssigner.assign(newShard, totalNumberOfConsumerSubtasks);
if (isThisSubtaskShouldSubscribeTo(hashCode, totalNumberOfConsumerSubtasks, indexOfThisConsumerSubtask)) {
newShardsToSubscribe.add(newShard);
}
}
advanceLastDiscoveredShardOfStream(
stream, shardListResult.getLastSeenShardOfStream(stream).getShard().getShardId());
}
}
return newShardsToSubscribe;
}
|
java
|
public List<StreamShardHandle> discoverNewShardsToSubscribe() throws InterruptedException {
List<StreamShardHandle> newShardsToSubscribe = new LinkedList<>();
GetShardListResult shardListResult = kinesis.getShardList(subscribedStreamsToLastDiscoveredShardIds);
if (shardListResult.hasRetrievedShards()) {
Set<String> streamsWithNewShards = shardListResult.getStreamsWithRetrievedShards();
for (String stream : streamsWithNewShards) {
List<StreamShardHandle> newShardsOfStream = shardListResult.getRetrievedShardListOfStream(stream);
for (StreamShardHandle newShard : newShardsOfStream) {
int hashCode = shardAssigner.assign(newShard, totalNumberOfConsumerSubtasks);
if (isThisSubtaskShouldSubscribeTo(hashCode, totalNumberOfConsumerSubtasks, indexOfThisConsumerSubtask)) {
newShardsToSubscribe.add(newShard);
}
}
advanceLastDiscoveredShardOfStream(
stream, shardListResult.getLastSeenShardOfStream(stream).getShard().getShardId());
}
}
return newShardsToSubscribe;
}
|
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A utility function that does the following:
<p>1. Find new shards for each stream that we haven't seen before
2. For each new shard, determine whether this consumer subtask should subscribe to them;
if yes, it is added to the returned list of shards
3. Update the subscribedStreamsToLastDiscoveredShardIds state so that we won't get shards
that we have already seen before the next time this function is called
|
[
"A",
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"function",
"that",
"does",
"the",
"following",
":"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/KinesisDataFetcher.java#L546-L569
|
train
|
Discover new shards to subscribe to
|
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apache/spark
|
launcher/src/main/java/org/apache/spark/launcher/InProcessLauncher.java
|
InProcessLauncher.startApplication
|
@Override
public SparkAppHandle startApplication(SparkAppHandle.Listener... listeners) throws IOException {
if (builder.isClientMode(builder.getEffectiveConfig())) {
LOG.warning("It's not recommended to run client-mode applications using InProcessLauncher.");
}
Method main = findSparkSubmit();
LauncherServer server = LauncherServer.getOrCreateServer();
InProcessAppHandle handle = new InProcessAppHandle(server);
for (SparkAppHandle.Listener l : listeners) {
handle.addListener(l);
}
String secret = server.registerHandle(handle);
setConf(LauncherProtocol.CONF_LAUNCHER_PORT, String.valueOf(server.getPort()));
setConf(LauncherProtocol.CONF_LAUNCHER_SECRET, secret);
List<String> sparkArgs = builder.buildSparkSubmitArgs();
String[] argv = sparkArgs.toArray(new String[sparkArgs.size()]);
String appName = CommandBuilderUtils.firstNonEmpty(builder.appName, builder.mainClass,
"<unknown>");
handle.start(appName, main, argv);
return handle;
}
|
java
|
@Override
public SparkAppHandle startApplication(SparkAppHandle.Listener... listeners) throws IOException {
if (builder.isClientMode(builder.getEffectiveConfig())) {
LOG.warning("It's not recommended to run client-mode applications using InProcessLauncher.");
}
Method main = findSparkSubmit();
LauncherServer server = LauncherServer.getOrCreateServer();
InProcessAppHandle handle = new InProcessAppHandle(server);
for (SparkAppHandle.Listener l : listeners) {
handle.addListener(l);
}
String secret = server.registerHandle(handle);
setConf(LauncherProtocol.CONF_LAUNCHER_PORT, String.valueOf(server.getPort()));
setConf(LauncherProtocol.CONF_LAUNCHER_SECRET, secret);
List<String> sparkArgs = builder.buildSparkSubmitArgs();
String[] argv = sparkArgs.toArray(new String[sparkArgs.size()]);
String appName = CommandBuilderUtils.firstNonEmpty(builder.appName, builder.mainClass,
"<unknown>");
handle.start(appName, main, argv);
return handle;
}
|
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Starts a Spark application.
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@return A handle for the launched application.
|
[
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] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/InProcessLauncher.java#L53-L77
|
train
|
Start an application.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/XmlUtil.java
|
XmlUtil.getElements
|
public static List<Element> getElements(Element element, String tagName) {
final NodeList nodeList = StrUtil.isBlank(tagName) ? element.getChildNodes() : element.getElementsByTagName(tagName);
return transElements(element, nodeList);
}
|
java
|
public static List<Element> getElements(Element element, String tagName) {
final NodeList nodeList = StrUtil.isBlank(tagName) ? element.getChildNodes() : element.getElementsByTagName(tagName);
return transElements(element, nodeList);
}
|
[
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] |
根据节点名获得子节点列表
@param element 节点
@param tagName 节点名，如果节点名为空（null或blank），返回所有子节点
@return 节点列表
|
[
"根据节点名获得子节点列表"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/XmlUtil.java#L445-L448
|
train
|
Gets all elements that have a specific tag with the given name.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.getUndirected
|
public Graph<K, VV, EV> getUndirected() {
DataSet<Edge<K, EV>> undirectedEdges = edges.
flatMap(new RegularAndReversedEdgesMap<>()).name("To undirected graph");
return new Graph<>(vertices, undirectedEdges, this.context);
}
|
java
|
public Graph<K, VV, EV> getUndirected() {
DataSet<Edge<K, EV>> undirectedEdges = edges.
flatMap(new RegularAndReversedEdgesMap<>()).name("To undirected graph");
return new Graph<>(vertices, undirectedEdges, this.context);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L985-L990
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train
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Returns a new undirected graph.
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apache/flink
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flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java
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ParameterTool.getDouble
|
public double getDouble(String key, double defaultValue) {
addToDefaults(key, Double.toString(defaultValue));
String value = get(key);
if (value == null) {
return defaultValue;
} else {
return Double.valueOf(value);
}
}
|
java
|
public double getDouble(String key, double defaultValue) {
addToDefaults(key, Double.toString(defaultValue));
String value = get(key);
if (value == null) {
return defaultValue;
} else {
return Double.valueOf(value);
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java#L371-L379
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train
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Gets the double value for the given key. If the key does not exist it will return the default value given.
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/Assert.java
|
Assert.isTrue
|
public static void isTrue(boolean expression, String errorMsgTemplate, Object... params) throws IllegalArgumentException {
if (false == expression) {
throw new IllegalArgumentException(StrUtil.format(errorMsgTemplate, params));
}
}
|
java
|
public static void isTrue(boolean expression, String errorMsgTemplate, Object... params) throws IllegalArgumentException {
if (false == expression) {
throw new IllegalArgumentException(StrUtil.format(errorMsgTemplate, params));
}
}
|
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断言是否为真，如果为 {@code false} 抛出 {@code IllegalArgumentException} 异常<br>
<pre class="code">
Assert.isTrue(i > 0, "The value must be greater than zero");
</pre>
@param expression 波尔值
@param errorMsgTemplate 错误抛出异常附带的消息模板，变量用{}代替
@param params 参数列表
@throws IllegalArgumentException if expression is {@code false}
|
[
"断言是否为真，如果为",
"{",
"@code",
"false",
"}",
"抛出",
"{",
"@code",
"IllegalArgumentException",
"}",
"异常<br",
">"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Assert.java#L31-L35
|
train
|
Check if the boolean expression is true.
|
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netty/netty
|
handler/src/main/java/io/netty/handler/timeout/IdleStateHandler.java
|
IdleStateHandler.hasOutputChanged
|
private boolean hasOutputChanged(ChannelHandlerContext ctx, boolean first) {
if (observeOutput) {
// We can take this shortcut if the ChannelPromises that got passed into write()
// appear to complete. It indicates "change" on message level and we simply assume
// that there's change happening on byte level. If the user doesn't observe channel
// writability events then they'll eventually OOME and there's clearly a different
// problem and idleness is least of their concerns.
if (lastChangeCheckTimeStamp != lastWriteTime) {
lastChangeCheckTimeStamp = lastWriteTime;
// But this applies only if it's the non-first call.
if (!first) {
return true;
}
}
Channel channel = ctx.channel();
Unsafe unsafe = channel.unsafe();
ChannelOutboundBuffer buf = unsafe.outboundBuffer();
if (buf != null) {
int messageHashCode = System.identityHashCode(buf.current());
long pendingWriteBytes = buf.totalPendingWriteBytes();
if (messageHashCode != lastMessageHashCode || pendingWriteBytes != lastPendingWriteBytes) {
lastMessageHashCode = messageHashCode;
lastPendingWriteBytes = pendingWriteBytes;
if (!first) {
return true;
}
}
long flushProgress = buf.currentProgress();
if (flushProgress != lastFlushProgress) {
lastFlushProgress = flushProgress;
if (!first) {
return true;
}
}
}
}
return false;
}
|
java
|
private boolean hasOutputChanged(ChannelHandlerContext ctx, boolean first) {
if (observeOutput) {
// We can take this shortcut if the ChannelPromises that got passed into write()
// appear to complete. It indicates "change" on message level and we simply assume
// that there's change happening on byte level. If the user doesn't observe channel
// writability events then they'll eventually OOME and there's clearly a different
// problem and idleness is least of their concerns.
if (lastChangeCheckTimeStamp != lastWriteTime) {
lastChangeCheckTimeStamp = lastWriteTime;
// But this applies only if it's the non-first call.
if (!first) {
return true;
}
}
Channel channel = ctx.channel();
Unsafe unsafe = channel.unsafe();
ChannelOutboundBuffer buf = unsafe.outboundBuffer();
if (buf != null) {
int messageHashCode = System.identityHashCode(buf.current());
long pendingWriteBytes = buf.totalPendingWriteBytes();
if (messageHashCode != lastMessageHashCode || pendingWriteBytes != lastPendingWriteBytes) {
lastMessageHashCode = messageHashCode;
lastPendingWriteBytes = pendingWriteBytes;
if (!first) {
return true;
}
}
long flushProgress = buf.currentProgress();
if (flushProgress != lastFlushProgress) {
lastFlushProgress = flushProgress;
if (!first) {
return true;
}
}
}
}
return false;
}
|
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Returns {@code true} if and only if the {@link IdleStateHandler} was constructed
with {@link #observeOutput} enabled and there has been an observed change in the
{@link ChannelOutboundBuffer} between two consecutive calls of this method.
https://github.com/netty/netty/issues/6150
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/timeout/IdleStateHandler.java#L415-L461
|
train
|
Checks if the output has changed.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperator.java
|
WindowOperator.getMergingWindowSet
|
protected MergingWindowSet<W> getMergingWindowSet() throws Exception {
@SuppressWarnings("unchecked")
MergingWindowAssigner<? super IN, W> mergingAssigner = (MergingWindowAssigner<? super IN, W>) windowAssigner;
return new MergingWindowSet<>(mergingAssigner, mergingSetsState);
}
|
java
|
protected MergingWindowSet<W> getMergingWindowSet() throws Exception {
@SuppressWarnings("unchecked")
MergingWindowAssigner<? super IN, W> mergingAssigner = (MergingWindowAssigner<? super IN, W>) windowAssigner;
return new MergingWindowSet<>(mergingAssigner, mergingSetsState);
}
|
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The caller must ensure that the correct key is set in the state backend.
<p>The caller must also ensure to properly persist changes to state using
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|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperator.java#L565-L569
|
train
|
Returns a new instance of the MergingWindowSet interface.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/NetworkEnvironmentConfiguration.java
|
NetworkEnvironmentConfiguration.hasNewNetworkConfig
|
@SuppressWarnings("deprecation")
@VisibleForTesting
public static boolean hasNewNetworkConfig(final Configuration config) {
return config.contains(TaskManagerOptions.NETWORK_BUFFERS_MEMORY_FRACTION) ||
config.contains(TaskManagerOptions.NETWORK_BUFFERS_MEMORY_MIN) ||
config.contains(TaskManagerOptions.NETWORK_BUFFERS_MEMORY_MAX) ||
!config.contains(TaskManagerOptions.NETWORK_NUM_BUFFERS);
}
|
java
|
@SuppressWarnings("deprecation")
@VisibleForTesting
public static boolean hasNewNetworkConfig(final Configuration config) {
return config.contains(TaskManagerOptions.NETWORK_BUFFERS_MEMORY_FRACTION) ||
config.contains(TaskManagerOptions.NETWORK_BUFFERS_MEMORY_MIN) ||
config.contains(TaskManagerOptions.NETWORK_BUFFERS_MEMORY_MAX) ||
!config.contains(TaskManagerOptions.NETWORK_NUM_BUFFERS);
}
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Returns whether the new network buffer memory configuration is present in the configuration
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@param config configuration object
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/NetworkEnvironmentConfiguration.java#L357-L364
|
train
|
Check if the configuration contains a new network configuration.
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apache/flink
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flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08Fetcher.java
|
Kafka08Fetcher.getInvalidOffsetBehavior
|
private static long getInvalidOffsetBehavior(Properties config) {
final String val = config.getProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "largest");
if (val.equals("largest") || val.equals("latest")) { // largest is kafka 0.8, latest is kafka 0.9
return OffsetRequest.LatestTime();
} else {
return OffsetRequest.EarliestTime();
}
}
|
java
|
private static long getInvalidOffsetBehavior(Properties config) {
final String val = config.getProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "largest");
if (val.equals("largest") || val.equals("latest")) { // largest is kafka 0.8, latest is kafka 0.9
return OffsetRequest.LatestTime();
} else {
return OffsetRequest.EarliestTime();
}
}
|
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Retrieve the behaviour of "auto.offset.reset" from the config properties.
A partition needs to fallback to "auto.offset.reset" as default offset when
we can't find offsets in ZK to start from in {@link StartupMode#GROUP_OFFSETS} startup mode.
@param config kafka consumer properties
@return either OffsetRequest.LatestTime() or OffsetRequest.EarliestTime()
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08Fetcher.java#L504-L511
|
train
|
Get invalid offset behavior.
|
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30526
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apache/incubator-shardingsphere
|
sharding-jdbc/sharding-jdbc-orchestration/src/main/java/org/apache/shardingsphere/shardingjdbc/orchestration/api/yaml/YamlOrchestrationShardingDataSourceFactory.java
|
YamlOrchestrationShardingDataSourceFactory.createDataSource
|
public static DataSource createDataSource(final byte[] yamlBytes) throws SQLException, IOException {
YamlOrchestrationShardingRuleConfiguration config = unmarshal(yamlBytes);
return createDataSource(config.getDataSources(), config.getShardingRule(), config.getProps(), config.getOrchestration());
}
|
java
|
public static DataSource createDataSource(final byte[] yamlBytes) throws SQLException, IOException {
YamlOrchestrationShardingRuleConfiguration config = unmarshal(yamlBytes);
return createDataSource(config.getDataSources(), config.getShardingRule(), config.getProps(), config.getOrchestration());
}
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@param yamlBytes YAML bytes for rule configuration of databases and tables sharding with data sources
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[
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-jdbc/sharding-jdbc-orchestration/src/main/java/org/apache/shardingsphere/shardingjdbc/orchestration/api/yaml/YamlOrchestrationShardingDataSourceFactory.java#L87-L90
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train
|
Create a DataSource from a YAML byte array.
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] |
apache/flink
|
flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/util/AWSUtil.java
|
AWSUtil.getCredentialsProvider
|
private static AWSCredentialsProvider getCredentialsProvider(final Properties configProps, final String configPrefix) {
CredentialProvider credentialProviderType;
if (!configProps.containsKey(configPrefix)) {
if (configProps.containsKey(AWSConfigConstants.accessKeyId(configPrefix))
&& configProps.containsKey(AWSConfigConstants.secretKey(configPrefix))) {
// if the credential provider type is not specified, but the Access Key ID and Secret Key are given, it will default to BASIC
credentialProviderType = CredentialProvider.BASIC;
} else {
// if the credential provider type is not specified, it will default to AUTO
credentialProviderType = CredentialProvider.AUTO;
}
} else {
credentialProviderType = CredentialProvider.valueOf(configProps.getProperty(configPrefix));
}
switch (credentialProviderType) {
case ENV_VAR:
return new EnvironmentVariableCredentialsProvider();
case SYS_PROP:
return new SystemPropertiesCredentialsProvider();
case PROFILE:
String profileName = configProps.getProperty(
AWSConfigConstants.profileName(configPrefix), null);
String profileConfigPath = configProps.getProperty(
AWSConfigConstants.profilePath(configPrefix), null);
return (profileConfigPath == null)
? new ProfileCredentialsProvider(profileName)
: new ProfileCredentialsProvider(profileConfigPath, profileName);
case BASIC:
return new AWSCredentialsProvider() {
@Override
public AWSCredentials getCredentials() {
return new BasicAWSCredentials(
configProps.getProperty(AWSConfigConstants.accessKeyId(configPrefix)),
configProps.getProperty(AWSConfigConstants.secretKey(configPrefix)));
}
@Override
public void refresh() {
// do nothing
}
};
case ASSUME_ROLE:
final AWSSecurityTokenService baseCredentials = AWSSecurityTokenServiceClientBuilder.standard()
.withCredentials(getCredentialsProvider(configProps, AWSConfigConstants.roleCredentialsProvider(configPrefix)))
.withRegion(configProps.getProperty(AWSConfigConstants.AWS_REGION))
.build();
return new STSAssumeRoleSessionCredentialsProvider.Builder(
configProps.getProperty(AWSConfigConstants.roleArn(configPrefix)),
configProps.getProperty(AWSConfigConstants.roleSessionName(configPrefix)))
.withExternalId(configProps.getProperty(AWSConfigConstants.externalId(configPrefix)))
.withStsClient(baseCredentials)
.build();
default:
case AUTO:
return new DefaultAWSCredentialsProviderChain();
}
}
|
java
|
private static AWSCredentialsProvider getCredentialsProvider(final Properties configProps, final String configPrefix) {
CredentialProvider credentialProviderType;
if (!configProps.containsKey(configPrefix)) {
if (configProps.containsKey(AWSConfigConstants.accessKeyId(configPrefix))
&& configProps.containsKey(AWSConfigConstants.secretKey(configPrefix))) {
// if the credential provider type is not specified, but the Access Key ID and Secret Key are given, it will default to BASIC
credentialProviderType = CredentialProvider.BASIC;
} else {
// if the credential provider type is not specified, it will default to AUTO
credentialProviderType = CredentialProvider.AUTO;
}
} else {
credentialProviderType = CredentialProvider.valueOf(configProps.getProperty(configPrefix));
}
switch (credentialProviderType) {
case ENV_VAR:
return new EnvironmentVariableCredentialsProvider();
case SYS_PROP:
return new SystemPropertiesCredentialsProvider();
case PROFILE:
String profileName = configProps.getProperty(
AWSConfigConstants.profileName(configPrefix), null);
String profileConfigPath = configProps.getProperty(
AWSConfigConstants.profilePath(configPrefix), null);
return (profileConfigPath == null)
? new ProfileCredentialsProvider(profileName)
: new ProfileCredentialsProvider(profileConfigPath, profileName);
case BASIC:
return new AWSCredentialsProvider() {
@Override
public AWSCredentials getCredentials() {
return new BasicAWSCredentials(
configProps.getProperty(AWSConfigConstants.accessKeyId(configPrefix)),
configProps.getProperty(AWSConfigConstants.secretKey(configPrefix)));
}
@Override
public void refresh() {
// do nothing
}
};
case ASSUME_ROLE:
final AWSSecurityTokenService baseCredentials = AWSSecurityTokenServiceClientBuilder.standard()
.withCredentials(getCredentialsProvider(configProps, AWSConfigConstants.roleCredentialsProvider(configPrefix)))
.withRegion(configProps.getProperty(AWSConfigConstants.AWS_REGION))
.build();
return new STSAssumeRoleSessionCredentialsProvider.Builder(
configProps.getProperty(AWSConfigConstants.roleArn(configPrefix)),
configProps.getProperty(AWSConfigConstants.roleSessionName(configPrefix)))
.withExternalId(configProps.getProperty(AWSConfigConstants.externalId(configPrefix)))
.withStsClient(baseCredentials)
.build();
default:
case AUTO:
return new DefaultAWSCredentialsProviderChain();
}
}
|
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] |
If the provider is ASSUME_ROLE, then the credentials for assuming this role are determined
recursively.
@param configProps the configuration properties
@param configPrefix the prefix of the config properties for this credentials provider,
e.g. aws.credentials.provider for the base credentials provider,
aws.credentials.provider.role.provider for the credentials provider
for assuming a role, and so on.
|
[
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"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/util/AWSUtil.java#L118-L180
|
train
|
Gets the credential provider.
|
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apache/flink
|
flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/KafkaTableSourceSinkFactoryBase.java
|
KafkaTableSourceSinkFactoryBase.getValidatedProperties
|
private DescriptorProperties getValidatedProperties(Map<String, String> properties) {
final DescriptorProperties descriptorProperties = new DescriptorProperties(true);
descriptorProperties.putProperties(properties);
// allow Kafka timestamps to be used, watermarks can not be received from source
new SchemaValidator(true, supportsKafkaTimestamps(), false).validate(descriptorProperties);
new KafkaValidator().validate(descriptorProperties);
return descriptorProperties;
}
|
java
|
private DescriptorProperties getValidatedProperties(Map<String, String> properties) {
final DescriptorProperties descriptorProperties = new DescriptorProperties(true);
descriptorProperties.putProperties(properties);
// allow Kafka timestamps to be used, watermarks can not be received from source
new SchemaValidator(true, supportsKafkaTimestamps(), false).validate(descriptorProperties);
new KafkaValidator().validate(descriptorProperties);
return descriptorProperties;
}
|
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] |
--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/KafkaTableSourceSinkFactoryBase.java#L246-L255
|
train
|
Validate the given properties.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/memory/AbstractPagedInputView.java
|
AbstractPagedInputView.seekInput
|
protected void seekInput(MemorySegment segment, int positionInSegment, int limitInSegment) {
this.currentSegment = segment;
this.positionInSegment = positionInSegment;
this.limitInSegment = limitInSegment;
}
|
java
|
protected void seekInput(MemorySegment segment, int positionInSegment, int limitInSegment) {
this.currentSegment = segment;
this.positionInSegment = positionInSegment;
this.limitInSegment = limitInSegment;
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Sets the internal state of the view such that the next bytes will be read from the given memory segment,
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@param segment The segment to read the next bytes from.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/memory/AbstractPagedInputView.java#L183-L187
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train
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Seeks the input memory segment to the given position.
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30526
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apache/flink
|
flink-yarn/src/main/java/org/apache/flink/yarn/AbstractYarnClusterDescriptor.java
|
AbstractYarnClusterDescriptor.getYarnFilesDir
|
private Path getYarnFilesDir(final ApplicationId appId) throws IOException {
final FileSystem fileSystem = FileSystem.get(yarnConfiguration);
final Path homeDir = fileSystem.getHomeDirectory();
return new Path(homeDir, ".flink/" + appId + '/');
}
|
java
|
private Path getYarnFilesDir(final ApplicationId appId) throws IOException {
final FileSystem fileSystem = FileSystem.get(yarnConfiguration);
final Path homeDir = fileSystem.getHomeDirectory();
return new Path(homeDir, ".flink/" + appId + '/');
}
|
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Returns the Path where the YARN application files should be uploaded to.
@param appId YARN application id
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-yarn/src/main/java/org/apache/flink/yarn/AbstractYarnClusterDescriptor.java#L1059-L1063
|
train
|
Gets the YARN files directory.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/builder/HashCodeBuilder.java
|
HashCodeBuilder.reflectionHashCode
|
public static int reflectionHashCode(final Object object, final boolean testTransients) {
return reflectionHashCode(DEFAULT_INITIAL_VALUE, DEFAULT_MULTIPLIER_VALUE, object,
testTransients, null);
}
|
java
|
public static int reflectionHashCode(final Object object, final boolean testTransients) {
return reflectionHashCode(DEFAULT_INITIAL_VALUE, DEFAULT_MULTIPLIER_VALUE, object,
testTransients, null);
}
|
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<p>
Uses reflection to build a valid hash code from the fields of {@code object}.
</p>
<p>
This constructor uses two hard coded choices for the constants needed to build a hash code.
</p>
<p>
It uses <code>AccessibleObject.setAccessible</code> to gain access to private fields. This means that it will
throw a security exception if run under a security manager, if the permissions are not set up correctly. It is
also not as efficient as testing explicitly.
</p>
<P>
If the TestTransients parameter is set to <code>true</code>, transient members will be tested, otherwise they
are ignored, as they are likely derived fields, and not part of the value of the <code>Object</code>.
</p>
<p>
Static fields will not be tested. Superclass fields will be included. If no fields are found to include
in the hash code, the result of this method will be constant.
</p>
@param object
the Object to create a <code>hashCode</code> for
@param testTransients
whether to include transient fields
@return int hash code
@throws IllegalArgumentException
if the object is <code>null</code>
|
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/builder/HashCodeBuilder.java#L380-L383
|
train
|
Get the hashCode of the given object.
|
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30526
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alibaba/canal
|
client-adapter/rdb/src/main/java/com/alibaba/otter/canal/client/adapter/rdb/service/RdbSyncService.java
|
RdbSyncService.pkHash
|
public int pkHash(DbMapping dbMapping, Map<String, Object> d) {
return pkHash(dbMapping, d, null);
}
|
java
|
public int pkHash(DbMapping dbMapping, Map<String, Object> d) {
return pkHash(dbMapping, d, null);
}
|
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] |
取主键hash
|
[
"取主键hash"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/rdb/src/main/java/com/alibaba/otter/canal/client/adapter/rdb/service/RdbSyncService.java#L475-L477
|
train
|
Returns the primary key hash for the given mapping.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/common/CommonDictionary.java
|
CommonDictionary.saveDat
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protected boolean saveDat(String path, List<V> valueArray)
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try
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out.writeInt(valueArray.size());
for (V item : valueArray)
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saveValue(item, out);
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trie.save(out);
out.close();
}
catch (Exception e)
{
logger.warning("保存失败" + TextUtility.exceptionToString(e));
return false;
}
return true;
}
|
java
|
protected boolean saveDat(String path, List<V> valueArray)
{
try
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DataOutputStream out = new DataOutputStream(new BufferedOutputStream(IOUtil.newOutputStream(path)));
out.writeInt(valueArray.size());
for (V item : valueArray)
{
saveValue(item, out);
}
trie.save(out);
out.close();
}
catch (Exception e)
{
logger.warning("保存失败" + TextUtility.exceptionToString(e));
return false;
}
return true;
}
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@param path
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[
"保存dat到路径"
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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/common/CommonDictionary.java#L116-L135
|
train
|
Save a dat file.
|
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/SslHandler.java
|
SslHandler.wrap
|
private void wrap(ChannelHandlerContext ctx, boolean inUnwrap) throws SSLException {
ByteBuf out = null;
ChannelPromise promise = null;
ByteBufAllocator alloc = ctx.alloc();
boolean needUnwrap = false;
ByteBuf buf = null;
try {
final int wrapDataSize = this.wrapDataSize;
// Only continue to loop if the handler was not removed in the meantime.
// See https://github.com/netty/netty/issues/5860
outer: while (!ctx.isRemoved()) {
promise = ctx.newPromise();
buf = wrapDataSize > 0 ?
pendingUnencryptedWrites.remove(alloc, wrapDataSize, promise) :
pendingUnencryptedWrites.removeFirst(promise);
if (buf == null) {
break;
}
if (out == null) {
out = allocateOutNetBuf(ctx, buf.readableBytes(), buf.nioBufferCount());
}
SSLEngineResult result = wrap(alloc, engine, buf, out);
if (result.getStatus() == Status.CLOSED) {
buf.release();
buf = null;
promise.tryFailure(SSLENGINE_CLOSED);
promise = null;
// SSLEngine has been closed already.
// Any further write attempts should be denied.
pendingUnencryptedWrites.releaseAndFailAll(ctx, SSLENGINE_CLOSED);
return;
} else {
if (buf.isReadable()) {
pendingUnencryptedWrites.addFirst(buf, promise);
// When we add the buffer/promise pair back we need to be sure we don't complete the promise
// later in finishWrap. We only complete the promise if the buffer is completely consumed.
promise = null;
} else {
buf.release();
}
buf = null;
switch (result.getHandshakeStatus()) {
case NEED_TASK:
if (!runDelegatedTasks(inUnwrap)) {
// We scheduled a task on the delegatingTaskExecutor, so stop processing as we will
// resume once the task completes.
break outer;
}
break;
case FINISHED:
setHandshakeSuccess();
// deliberate fall-through
case NOT_HANDSHAKING:
setHandshakeSuccessIfStillHandshaking();
// deliberate fall-through
case NEED_WRAP:
finishWrap(ctx, out, promise, inUnwrap, false);
promise = null;
out = null;
break;
case NEED_UNWRAP:
needUnwrap = true;
return;
default:
throw new IllegalStateException(
"Unknown handshake status: " + result.getHandshakeStatus());
}
}
}
} finally {
// Ownership of buffer was not transferred, release it.
if (buf != null) {
buf.release();
}
finishWrap(ctx, out, promise, inUnwrap, needUnwrap);
}
}
|
java
|
private void wrap(ChannelHandlerContext ctx, boolean inUnwrap) throws SSLException {
ByteBuf out = null;
ChannelPromise promise = null;
ByteBufAllocator alloc = ctx.alloc();
boolean needUnwrap = false;
ByteBuf buf = null;
try {
final int wrapDataSize = this.wrapDataSize;
// Only continue to loop if the handler was not removed in the meantime.
// See https://github.com/netty/netty/issues/5860
outer: while (!ctx.isRemoved()) {
promise = ctx.newPromise();
buf = wrapDataSize > 0 ?
pendingUnencryptedWrites.remove(alloc, wrapDataSize, promise) :
pendingUnencryptedWrites.removeFirst(promise);
if (buf == null) {
break;
}
if (out == null) {
out = allocateOutNetBuf(ctx, buf.readableBytes(), buf.nioBufferCount());
}
SSLEngineResult result = wrap(alloc, engine, buf, out);
if (result.getStatus() == Status.CLOSED) {
buf.release();
buf = null;
promise.tryFailure(SSLENGINE_CLOSED);
promise = null;
// SSLEngine has been closed already.
// Any further write attempts should be denied.
pendingUnencryptedWrites.releaseAndFailAll(ctx, SSLENGINE_CLOSED);
return;
} else {
if (buf.isReadable()) {
pendingUnencryptedWrites.addFirst(buf, promise);
// When we add the buffer/promise pair back we need to be sure we don't complete the promise
// later in finishWrap. We only complete the promise if the buffer is completely consumed.
promise = null;
} else {
buf.release();
}
buf = null;
switch (result.getHandshakeStatus()) {
case NEED_TASK:
if (!runDelegatedTasks(inUnwrap)) {
// We scheduled a task on the delegatingTaskExecutor, so stop processing as we will
// resume once the task completes.
break outer;
}
break;
case FINISHED:
setHandshakeSuccess();
// deliberate fall-through
case NOT_HANDSHAKING:
setHandshakeSuccessIfStillHandshaking();
// deliberate fall-through
case NEED_WRAP:
finishWrap(ctx, out, promise, inUnwrap, false);
promise = null;
out = null;
break;
case NEED_UNWRAP:
needUnwrap = true;
return;
default:
throw new IllegalStateException(
"Unknown handshake status: " + result.getHandshakeStatus());
}
}
}
} finally {
// Ownership of buffer was not transferred, release it.
if (buf != null) {
buf.release();
}
finishWrap(ctx, out, promise, inUnwrap, needUnwrap);
}
}
|
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] |
This method will not call setHandshakeFailure(...) !
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/SslHandler.java#L819-L899
|
train
|
Wrap the handler.
|
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netty/netty
|
codec/src/main/java/io/netty/handler/codec/HeadersUtils.java
|
HeadersUtils.getAllAsString
|
public static <K, V> List<String> getAllAsString(Headers<K, V, ?> headers, K name) {
final List<V> allNames = headers.getAll(name);
return new AbstractList<String>() {
@Override
public String get(int index) {
V value = allNames.get(index);
return value != null ? value.toString() : null;
}
@Override
public int size() {
return allNames.size();
}
};
}
|
java
|
public static <K, V> List<String> getAllAsString(Headers<K, V, ?> headers, K name) {
final List<V> allNames = headers.getAll(name);
return new AbstractList<String>() {
@Override
public String get(int index) {
V value = allNames.get(index);
return value != null ? value.toString() : null;
}
@Override
public int size() {
return allNames.size();
}
};
}
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{@link Headers#get(Object)} and convert each element of {@link List} to a {@link String}.
@param name the name of the header to retrieve
@return a {@link List} of header values or an empty {@link List} if no values are found.
|
[
"{"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/HeadersUtils.java#L41-L55
|
train
|
Gets all String value from a Headers object.
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/asymmetric/RSA.java
|
RSA.encryptStr
|
@Deprecated
public String encryptStr(String data, KeyType keyType, Charset charset) {
return encryptBcd(data, keyType, charset);
}
|
java
|
@Deprecated
public String encryptStr(String data, KeyType keyType, Charset charset) {
return encryptBcd(data, keyType, charset);
}
|
[
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"String",
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"{",
"return",
"encryptBcd",
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"data",
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"keyType",
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分组加密
@param data 数据
@param keyType 密钥类型
@param charset 加密前编码
@return 加密后的密文
@throws CryptoException 加密异常
@since 3.1.1
@deprecated 请使用 {@link #encryptBcd(String, KeyType, Charset)}
|
[
"分组加密"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/asymmetric/RSA.java#L143-L146
|
train
|
Encrypts a string using the specified key type and charset.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.createFont
|
public static Font createFont(File fontFile) {
try {
return Font.createFont(Font.TRUETYPE_FONT, fontFile);
} catch (FontFormatException e) {
// True Type字体无效时使用Type1字体
try {
return Font.createFont(Font.TYPE1_FONT, fontFile);
} catch (Exception e1) {
throw new UtilException(e);
}
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
java
|
public static Font createFont(File fontFile) {
try {
return Font.createFont(Font.TRUETYPE_FONT, fontFile);
} catch (FontFormatException e) {
// True Type字体无效时使用Type1字体
try {
return Font.createFont(Font.TYPE1_FONT, fontFile);
} catch (Exception e1) {
throw new UtilException(e);
}
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
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根据文件创建字体<br>
首先尝试创建{@link Font#TRUETYPE_FONT}字体，此类字体无效则创建{@link Font#TYPE1_FONT}
@param fontFile 字体文件
@return {@link Font}
@since 3.0.9
|
[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L1296-L1309
|
train
|
Creates a Font object from the specified font file.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/util/Preconditions.java
|
Preconditions.checkState
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public static void checkState(boolean condition, @Nullable Object errorMessage) {
if (!condition) {
throw new IllegalStateException(String.valueOf(errorMessage));
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}
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java
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public static void checkState(boolean condition, @Nullable Object errorMessage) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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Check if condition is true.
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/health/HealthStatusHttpMapper.java
|
HealthStatusHttpMapper.setStatusMapping
|
public void setStatusMapping(Map<String, Integer> statusMapping) {
Assert.notNull(statusMapping, "StatusMapping must not be null");
this.statusMapping = new HashMap<>(statusMapping);
}
|
java
|
public void setStatusMapping(Map<String, Integer> statusMapping) {
Assert.notNull(statusMapping, "StatusMapping must not be null");
this.statusMapping = new HashMap<>(statusMapping);
}
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@param statusMapping a map of health status code to HTTP status code
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/health/HealthStatusHttpMapper.java#L53-L56
|
train
|
Sets the status mapping.
|
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostMultipartRequestDecoder.java
|
HttpPostMultipartRequestDecoder.readLineStandard
|
private static String readLineStandard(ByteBuf undecodedChunk, Charset charset) {
int readerIndex = undecodedChunk.readerIndex();
try {
ByteBuf line = buffer(64);
while (undecodedChunk.isReadable()) {
byte nextByte = undecodedChunk.readByte();
if (nextByte == HttpConstants.CR) {
// check but do not changed readerIndex
nextByte = undecodedChunk.getByte(undecodedChunk.readerIndex());
if (nextByte == HttpConstants.LF) {
// force read
undecodedChunk.readByte();
return line.toString(charset);
} else {
// Write CR (not followed by LF)
line.writeByte(HttpConstants.CR);
}
} else if (nextByte == HttpConstants.LF) {
return line.toString(charset);
} else {
line.writeByte(nextByte);
}
}
} catch (IndexOutOfBoundsException e) {
undecodedChunk.readerIndex(readerIndex);
throw new NotEnoughDataDecoderException(e);
}
undecodedChunk.readerIndex(readerIndex);
throw new NotEnoughDataDecoderException();
}
|
java
|
private static String readLineStandard(ByteBuf undecodedChunk, Charset charset) {
int readerIndex = undecodedChunk.readerIndex();
try {
ByteBuf line = buffer(64);
while (undecodedChunk.isReadable()) {
byte nextByte = undecodedChunk.readByte();
if (nextByte == HttpConstants.CR) {
// check but do not changed readerIndex
nextByte = undecodedChunk.getByte(undecodedChunk.readerIndex());
if (nextByte == HttpConstants.LF) {
// force read
undecodedChunk.readByte();
return line.toString(charset);
} else {
// Write CR (not followed by LF)
line.writeByte(HttpConstants.CR);
}
} else if (nextByte == HttpConstants.LF) {
return line.toString(charset);
} else {
line.writeByte(nextByte);
}
}
} catch (IndexOutOfBoundsException e) {
undecodedChunk.readerIndex(readerIndex);
throw new NotEnoughDataDecoderException(e);
}
undecodedChunk.readerIndex(readerIndex);
throw new NotEnoughDataDecoderException();
}
|
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Read one line up to the CRLF or LF
@return the String from one line
@throws NotEnoughDataDecoderException
Need more chunks and reset the {@code readerIndex} to the previous
value
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostMultipartRequestDecoder.java#L991-L1021
|
train
|
Read a single line from the given byte buffer.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/restart/FixedDelayRestartStrategy.java
|
FixedDelayRestartStrategy.createFactory
|
public static FixedDelayRestartStrategyFactory createFactory(Configuration configuration) throws Exception {
int maxAttempts = configuration.getInteger(ConfigConstants.RESTART_STRATEGY_FIXED_DELAY_ATTEMPTS, 1);
String delayString = configuration.getString(ConfigConstants.RESTART_STRATEGY_FIXED_DELAY_DELAY);
long delay;
try {
delay = Duration.apply(delayString).toMillis();
} catch (NumberFormatException nfe) {
throw new Exception("Invalid config value for " +
ConfigConstants.RESTART_STRATEGY_FIXED_DELAY_DELAY + ": " + delayString +
". Value must be a valid duration (such as '100 milli' or '10 s')");
}
return new FixedDelayRestartStrategyFactory(maxAttempts, delay);
}
|
java
|
public static FixedDelayRestartStrategyFactory createFactory(Configuration configuration) throws Exception {
int maxAttempts = configuration.getInteger(ConfigConstants.RESTART_STRATEGY_FIXED_DELAY_ATTEMPTS, 1);
String delayString = configuration.getString(ConfigConstants.RESTART_STRATEGY_FIXED_DELAY_DELAY);
long delay;
try {
delay = Duration.apply(delayString).toMillis();
} catch (NumberFormatException nfe) {
throw new Exception("Invalid config value for " +
ConfigConstants.RESTART_STRATEGY_FIXED_DELAY_DELAY + ": " + delayString +
". Value must be a valid duration (such as '100 milli' or '10 s')");
}
return new FixedDelayRestartStrategyFactory(maxAttempts, delay);
}
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Creates a FixedDelayRestartStrategy from the given Configuration.
@param configuration Configuration containing the parameter values for the restart strategy
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/restart/FixedDelayRestartStrategy.java#L75-L91
|
train
|
Creates a factory for the fixed delay restart strategy.
|
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apache/incubator-shardingsphere
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sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/lexer/LexerEngine.java
|
LexerEngine.getDatabaseType
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public DatabaseType getDatabaseType() {
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if (lexer instanceof MySQLLexer) {
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if (lexer instanceof OracleLexer) {
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if (lexer instanceof SQLServerLexer) {
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if (lexer instanceof PostgreSQLLexer) {
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throw new UnsupportedOperationException(String.format("Cannot support lexer class: %s", lexer.getClass().getCanonicalName()));
}
|
java
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public DatabaseType getDatabaseType() {
if (lexer instanceof H2Lexer) {
return DatabaseType.H2;
}
if (lexer instanceof MySQLLexer) {
return DatabaseType.MySQL;
}
if (lexer instanceof OracleLexer) {
return DatabaseType.Oracle;
}
if (lexer instanceof SQLServerLexer) {
return DatabaseType.SQLServer;
}
if (lexer instanceof PostgreSQLLexer) {
return DatabaseType.PostgreSQL;
}
throw new UnsupportedOperationException(String.format("Cannot support lexer class: %s", lexer.getClass().getCanonicalName()));
}
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[
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/lexer/LexerEngine.java#L208-L225
|
train
|
Get the database type of the lexer.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java
|
MapUtil.getChar
|
public static Character getChar(Map<?, ?> map, Object key) {
return get(map, key, Character.class);
}
|
java
|
public static Character getChar(Map<?, ?> map, Object key) {
return get(map, key, Character.class);
}
|
[
"public",
"static",
"Character",
"getChar",
"(",
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"<",
"?",
",",
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">",
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"key",
")",
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"return",
"get",
"(",
"map",
",",
"key",
",",
"Character",
".",
"class",
")",
";",
"}"
] |
获取Map指定key的值，并转换为Character
@param map Map
@param key 键
@return 值
@since 4.0.6
|
[
"获取Map指定key的值，并转换为Character"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L828-L830
|
train
|
Gets the Character object from the map.
|
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looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelReader.java
|
ExcelReader.read
|
@SuppressWarnings({ "rawtypes", "unchecked" })
public List<List<Object>> read(int startRowIndex, int endRowIndex) {
checkNotClosed();
List<List<Object>> resultList = new ArrayList<>();
startRowIndex = Math.max(startRowIndex, this.sheet.getFirstRowNum());// 读取起始行（包含）
endRowIndex = Math.min(endRowIndex, this.sheet.getLastRowNum());// 读取结束行（包含）
boolean isFirstLine = true;
List rowList;
for (int i = startRowIndex; i <= endRowIndex; i++) {
rowList = readRow(i);
if (CollUtil.isNotEmpty(rowList) || false == ignoreEmptyRow) {
if (null == rowList) {
rowList = new ArrayList<>(0);
}
if (isFirstLine) {
isFirstLine = false;
if (MapUtil.isNotEmpty(this.headerAlias)) {
rowList = aliasHeader(rowList);
}
}
resultList.add(rowList);
}
}
return resultList;
}
|
java
|
@SuppressWarnings({ "rawtypes", "unchecked" })
public List<List<Object>> read(int startRowIndex, int endRowIndex) {
checkNotClosed();
List<List<Object>> resultList = new ArrayList<>();
startRowIndex = Math.max(startRowIndex, this.sheet.getFirstRowNum());// 读取起始行（包含）
endRowIndex = Math.min(endRowIndex, this.sheet.getLastRowNum());// 读取结束行（包含）
boolean isFirstLine = true;
List rowList;
for (int i = startRowIndex; i <= endRowIndex; i++) {
rowList = readRow(i);
if (CollUtil.isNotEmpty(rowList) || false == ignoreEmptyRow) {
if (null == rowList) {
rowList = new ArrayList<>(0);
}
if (isFirstLine) {
isFirstLine = false;
if (MapUtil.isNotEmpty(this.headerAlias)) {
rowList = aliasHeader(rowList);
}
}
resultList.add(rowList);
}
}
return resultList;
}
|
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读取工作簿中指定的Sheet
@param startRowIndex 起始行（包含，从0开始计数）
@param endRowIndex 结束行（包含，从0开始计数）
@return 行的集合，一行使用List表示
|
[
"读取工作簿中指定的Sheet"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelReader.java#L234-L259
|
train
|
Reads a range of records from the specified sheet.
|
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30526
] |
apache/incubator-shardingsphere
|
sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/util/SQLUtil.java
|
SQLUtil.getExactlyValue
|
public static String getExactlyValue(final String value) {
return null == value ? null : CharMatcher.anyOf("[]`'\"").removeFrom(value);
}
|
java
|
public static String getExactlyValue(final String value) {
return null == value ? null : CharMatcher.anyOf("[]`'\"").removeFrom(value);
}
|
[
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"static",
"String",
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"CharMatcher",
".",
"anyOf",
"(",
"\"[]`'\\\"\"",
")",
".",
"removeFrom",
"(",
"value",
")",
";",
"}"
] |
Get exactly value for SQL expression.
<p>remove special char for SQL expression</p>
@param value SQL expression
@return exactly SQL expression
|
[
"Get",
"exactly",
"value",
"for",
"SQL",
"expression",
"."
] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/util/SQLUtil.java#L44-L46
|
train
|
Get exact value.
|
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30526
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/Http2Settings.java
|
Http2Settings.put
|
@Override
public Long put(char key, Long value) {
verifyStandardSetting(key, value);
return super.put(key, value);
}
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java
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@Override
public Long put(char key, Long value) {
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/Http2Settings.java#L73-L77
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train
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Override put to verify the standard setting and put the value.
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java
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Pattern.followedByAny
|
public GroupPattern<T, F> followedByAny(Pattern<T, F> group) {
return new GroupPattern<>(this, group, ConsumingStrategy.SKIP_TILL_ANY, afterMatchSkipStrategy);
}
|
java
|
public GroupPattern<T, F> followedByAny(Pattern<T, F> group) {
return new GroupPattern<>(this, group, ConsumingStrategy.SKIP_TILL_ANY, afterMatchSkipStrategy);
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Appends a new group pattern to the existing one. The new pattern enforces non-strict
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@param group the pattern to append
@return A new pattern which is appended to this one
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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#L528-L530
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train
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Creates a new pattern that matches patterns followed by any of the given pattern.
|
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looly/hutool
|
hutool-cache/src/main/java/cn/hutool/cache/impl/AbstractCache.java
|
AbstractCache.put
|
@Override
public void put(K key, V object) {
put(key, object, timeout);
}
|
java
|
@Override
public void put(K key, V object) {
put(key, object, timeout);
}
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---------------------------------------------------------------- put start
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[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cache/src/main/java/cn/hutool/cache/impl/AbstractCache.java#L47-L50
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train
|
Override put to add a new object to the cache.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointCoordinator.java
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CheckpointCoordinator.triggerSynchronousSavepoint
|
public CompletableFuture<CompletedCheckpoint> triggerSynchronousSavepoint(
final long timestamp,
final boolean advanceToEndOfEventTime,
@Nullable final String targetLocation) {
final CheckpointProperties properties = CheckpointProperties.forSyncSavepoint();
return triggerSavepointInternal(timestamp, properties, advanceToEndOfEventTime, targetLocation);
}
|
java
|
public CompletableFuture<CompletedCheckpoint> triggerSynchronousSavepoint(
final long timestamp,
final boolean advanceToEndOfEventTime,
@Nullable final String targetLocation) {
final CheckpointProperties properties = CheckpointProperties.forSyncSavepoint();
return triggerSavepointInternal(timestamp, properties, advanceToEndOfEventTime, targetLocation);
}
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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/CheckpointCoordinator.java#L391-L398
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train
|
Triggers a synchronous savepoint.
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spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/command/CommandRunner.java
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CommandRunner.findCommand
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public Command findCommand(String name) {
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java
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public Command findCommand(String name) {
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if (candidateName.equals(name) || (isOptionCommand(candidate)
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return candidate;
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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train
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Find command by name.
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looly/hutool
|
hutool-cron/src/main/java/cn/hutool/cron/pattern/matcher/ValueMatcherBuilder.java
|
ValueMatcherBuilder.parseRange
|
private static List<Integer> parseRange(String value, int step, ValueParser parser) {
final List<Integer> results = new ArrayList<>();
// 全部匹配形式
if (value.length() <= 2) {
//根据步进的第一个数字确定起始时间，类似于 12/3则从12（秒、分等）开始
int minValue = parser.getMin();
if(false == isMatchAllStr(value)) {
minValue = Math.max(minValue, parser.parse(value));
}else {
//在全匹配模式下，如果步进不存在，表示步进为1
if(step < 1) {
step = 1;
}
}
if(step > 0) {
final int maxValue = parser.getMax();
if(minValue > maxValue) {
throw new CronException("Invalid value {} > {}", minValue, maxValue);
}
//有步进
for (int i = minValue; i <= maxValue; i+=step) {
results.add(i);
}
} else {
//固定时间
results.add(minValue);
}
return results;
}
//Range模式
List<String> parts = StrUtil.split(value, '-');
int size = parts.size();
if (size == 1) {// 普通值
final int v1 = parser.parse(value);
if(step > 0) {//类似 20/2的形式
NumberUtil.appendRange(v1, parser.getMax(), step, results);
}else {
results.add(v1);
}
} else if (size == 2) {// range值
final int v1 = parser.parse(parts.get(0));
final int v2 = parser.parse(parts.get(1));
if(step < 1) {
//在range模式下，如果步进不存在，表示步进为1
step = 1;
}
if (v1 < v2) {// 正常范围，例如：2-5
NumberUtil.appendRange(v1, v2, step, results);
} else if (v1 > v2) {// 逆向范围，反选模式，例如：5-2
NumberUtil.appendRange(v1, parser.getMax(), step, results);
NumberUtil.appendRange(parser.getMin(), v2, step, results);
} else {// v1 == v2，此时与单值模式一致
if(step > 0) {//类似 20/2的形式
NumberUtil.appendRange(v1, parser.getMax(), step, results);
}else {
results.add(v1);
}
}
} else {
throw new CronException("Invalid syntax of field: [{}]", value);
}
return results;
}
|
java
|
private static List<Integer> parseRange(String value, int step, ValueParser parser) {
final List<Integer> results = new ArrayList<>();
// 全部匹配形式
if (value.length() <= 2) {
//根据步进的第一个数字确定起始时间，类似于 12/3则从12（秒、分等）开始
int minValue = parser.getMin();
if(false == isMatchAllStr(value)) {
minValue = Math.max(minValue, parser.parse(value));
}else {
//在全匹配模式下，如果步进不存在，表示步进为1
if(step < 1) {
step = 1;
}
}
if(step > 0) {
final int maxValue = parser.getMax();
if(minValue > maxValue) {
throw new CronException("Invalid value {} > {}", minValue, maxValue);
}
//有步进
for (int i = minValue; i <= maxValue; i+=step) {
results.add(i);
}
} else {
//固定时间
results.add(minValue);
}
return results;
}
//Range模式
List<String> parts = StrUtil.split(value, '-');
int size = parts.size();
if (size == 1) {// 普通值
final int v1 = parser.parse(value);
if(step > 0) {//类似 20/2的形式
NumberUtil.appendRange(v1, parser.getMax(), step, results);
}else {
results.add(v1);
}
} else if (size == 2) {// range值
final int v1 = parser.parse(parts.get(0));
final int v2 = parser.parse(parts.get(1));
if(step < 1) {
//在range模式下，如果步进不存在，表示步进为1
step = 1;
}
if (v1 < v2) {// 正常范围，例如：2-5
NumberUtil.appendRange(v1, v2, step, results);
} else if (v1 > v2) {// 逆向范围，反选模式，例如：5-2
NumberUtil.appendRange(v1, parser.getMax(), step, results);
NumberUtil.appendRange(parser.getMin(), v2, step, results);
} else {// v1 == v2，此时与单值模式一致
if(step > 0) {//类似 20/2的形式
NumberUtil.appendRange(v1, parser.getMax(), step, results);
}else {
results.add(v1);
}
}
} else {
throw new CronException("Invalid syntax of field: [{}]", value);
}
return results;
}
|
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] |
处理表达式中范围表达式 处理的形式包括：
<ul>
<li>*</li>
<li>2</li>
<li>3-8</li>
<li>8-3</li>
<li>3-3</li>
</ul>
@param value 范围表达式
@param step 步进
@param parser 针对这个时间字段的解析器
@return List
|
[
"处理表达式中范围表达式",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/pattern/matcher/ValueMatcherBuilder.java#L119-L183
|
train
|
Parse a range of strings.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/CoreBiGramTableDictionary.java
|
CoreBiGramTableDictionary.binarySearch
|
private static int binarySearch(int[] a, int fromIndex, int length, int key)
{
int low = fromIndex;
int high = fromIndex + length - 1;
while (low <= high)
{
int mid = (low + high) >>> 1;
int midVal = a[mid << 1];
if (midVal < key)
low = mid + 1;
else if (midVal > key)
high = mid - 1;
else
return mid; // key found
}
return -(low + 1); // key not found.
}
|
java
|
private static int binarySearch(int[] a, int fromIndex, int length, int key)
{
int low = fromIndex;
int high = fromIndex + length - 1;
while (low <= high)
{
int mid = (low + high) >>> 1;
int midVal = a[mid << 1];
if (midVal < key)
low = mid + 1;
else if (midVal > key)
high = mid - 1;
else
return mid; // key found
}
return -(low + 1); // key not found.
}
|
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] |
二分搜索，由于二元接续前一个词固定时，后一个词比较少，所以二分也能取得很高的性能
@param a 目标数组
@param fromIndex 开始下标
@param length 长度
@param key 词的id
@return 共现频次
|
[
"二分搜索，由于二元接续前一个词固定时，后一个词比较少，所以二分也能取得很高的性能"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/CoreBiGramTableDictionary.java#L218-L236
|
train
|
Searches the array for the key in the array.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/operators/base/MapOperatorBase.java
|
MapOperatorBase.executeOnCollections
|
@Override
protected List<OUT> executeOnCollections(List<IN> inputData, RuntimeContext ctx, ExecutionConfig executionConfig) throws Exception {
MapFunction<IN, OUT> function = this.userFunction.getUserCodeObject();
FunctionUtils.setFunctionRuntimeContext(function, ctx);
FunctionUtils.openFunction(function, this.parameters);
ArrayList<OUT> result = new ArrayList<OUT>(inputData.size());
TypeSerializer<IN> inSerializer = getOperatorInfo().getInputType().createSerializer(executionConfig);
TypeSerializer<OUT> outSerializer = getOperatorInfo().getOutputType().createSerializer(executionConfig);
for (IN element : inputData) {
IN inCopy = inSerializer.copy(element);
OUT out = function.map(inCopy);
result.add(outSerializer.copy(out));
}
FunctionUtils.closeFunction(function);
return result;
}
|
java
|
@Override
protected List<OUT> executeOnCollections(List<IN> inputData, RuntimeContext ctx, ExecutionConfig executionConfig) throws Exception {
MapFunction<IN, OUT> function = this.userFunction.getUserCodeObject();
FunctionUtils.setFunctionRuntimeContext(function, ctx);
FunctionUtils.openFunction(function, this.parameters);
ArrayList<OUT> result = new ArrayList<OUT>(inputData.size());
TypeSerializer<IN> inSerializer = getOperatorInfo().getInputType().createSerializer(executionConfig);
TypeSerializer<OUT> outSerializer = getOperatorInfo().getOutputType().createSerializer(executionConfig);
for (IN element : inputData) {
IN inCopy = inSerializer.copy(element);
OUT out = function.map(inCopy);
result.add(outSerializer.copy(out));
}
FunctionUtils.closeFunction(function);
return result;
}
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/base/MapOperatorBase.java#L59-L80
|
train
|
Execute on collections.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/memory/MemoryManager.java
|
MemoryManager.shutdown
|
public void shutdown() {
// -------------------- BEGIN CRITICAL SECTION -------------------
synchronized (lock) {
if (!isShutDown) {
// mark as shutdown and release memory
isShutDown = true;
numNonAllocatedPages = 0;
// go over all allocated segments and release them
for (Set<MemorySegment> segments : allocatedSegments.values()) {
for (MemorySegment seg : segments) {
seg.free();
}
}
memoryPool.clear();
}
}
// -------------------- END CRITICAL SECTION -------------------
}
|
java
|
public void shutdown() {
// -------------------- BEGIN CRITICAL SECTION -------------------
synchronized (lock) {
if (!isShutDown) {
// mark as shutdown and release memory
isShutDown = true;
numNonAllocatedPages = 0;
// go over all allocated segments and release them
for (Set<MemorySegment> segments : allocatedSegments.values()) {
for (MemorySegment seg : segments) {
seg.free();
}
}
memoryPool.clear();
}
}
// -------------------- END CRITICAL SECTION -------------------
}
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Shuts the memory manager down, trying to release all the memory it managed. Depending
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/memory/MemoryManager.java#L201-L220
|
train
|
Shutdown the memory manager.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/ContainerSpecification.java
|
ContainerSpecification.formatSystemProperties
|
public static String formatSystemProperties(Configuration jvmArgs) {
StringBuilder sb = new StringBuilder();
for(Map.Entry<String,String> entry : jvmArgs.toMap().entrySet()) {
if(sb.length() > 0) {
sb.append(" ");
}
boolean quoted = entry.getValue().contains(" ");
if(quoted) {
sb.append("\"");
}
sb.append("-D").append(entry.getKey()).append('=').append(entry.getValue());
if(quoted) {
sb.append("\"");
}
}
return sb.toString();
}
|
java
|
public static String formatSystemProperties(Configuration jvmArgs) {
StringBuilder sb = new StringBuilder();
for(Map.Entry<String,String> entry : jvmArgs.toMap().entrySet()) {
if(sb.length() > 0) {
sb.append(" ");
}
boolean quoted = entry.getValue().contains(" ");
if(quoted) {
sb.append("\"");
}
sb.append("-D").append(entry.getKey()).append('=').append(entry.getValue());
if(quoted) {
sb.append("\"");
}
}
return sb.toString();
}
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Format the system properties as a shell-compatible command-line argument.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/ContainerSpecification.java#L189-L205
|
train
|
Format the system properties.
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/asymmetric/AsymmetricCrypto.java
|
AsymmetricCrypto.encrypt
|
@Override
public byte[] encrypt(byte[] data, KeyType keyType) {
final Key key = getKeyByType(keyType);
final int inputLen = data.length;
final int maxBlockSize = this.encryptBlockSize < 0 ? inputLen : this.encryptBlockSize;
lock.lock();
try (ByteArrayOutputStream out = new ByteArrayOutputStream();) {
cipher.init(Cipher.ENCRYPT_MODE, key);
int offSet = 0;
byte[] cache;
// 剩余长度
int remainLength = inputLen;
// 对数据分段加密
while (remainLength > 0) {
cache = cipher.doFinal(data, offSet, Math.min(remainLength, maxBlockSize));
out.write(cache, 0, cache.length);
offSet += maxBlockSize;
remainLength = inputLen - offSet;
}
return out.toByteArray();
} catch (Exception e) {
throw new CryptoException(e);
} finally {
lock.unlock();
}
}
|
java
|
@Override
public byte[] encrypt(byte[] data, KeyType keyType) {
final Key key = getKeyByType(keyType);
final int inputLen = data.length;
final int maxBlockSize = this.encryptBlockSize < 0 ? inputLen : this.encryptBlockSize;
lock.lock();
try (ByteArrayOutputStream out = new ByteArrayOutputStream();) {
cipher.init(Cipher.ENCRYPT_MODE, key);
int offSet = 0;
byte[] cache;
// 剩余长度
int remainLength = inputLen;
// 对数据分段加密
while (remainLength > 0) {
cache = cipher.doFinal(data, offSet, Math.min(remainLength, maxBlockSize));
out.write(cache, 0, cache.length);
offSet += maxBlockSize;
remainLength = inputLen - offSet;
}
return out.toByteArray();
} catch (Exception e) {
throw new CryptoException(e);
} finally {
lock.unlock();
}
}
|
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加密
@param data 被加密的bytes
@param keyType 私钥或公钥 {@link KeyType}
@return 加密后的bytes
|
[
"加密"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/asymmetric/AsymmetricCrypto.java#L191-L218
|
train
|
Encrypts the given byte array using the specified key.
|
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netty/netty
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buffer/src/main/java/io/netty/buffer/Unpooled.java
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Unpooled.wrappedBuffer
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public static ByteBuf wrappedBuffer(int maxNumComponents, ByteBuf... buffers) {
switch (buffers.length) {
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break;
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buf.release();
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break;
}
return EMPTY_BUFFER;
}
|
java
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public static ByteBuf wrappedBuffer(int maxNumComponents, ByteBuf... buffers) {
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break;
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buffer.release();
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break;
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return new CompositeByteBuf(ALLOC, false, maxNumComponents, buffers, i);
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buf.release();
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break;
}
return EMPTY_BUFFER;
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/Unpooled.java#L306-L329
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train
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Returns a new ByteBuf that wraps the specified buffers.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java
|
NumberUtil.min
|
@SuppressWarnings("unchecked")
public static <T extends Comparable<? super T>> T min(T... numberArray) {
return ArrayUtil.min(numberArray);
}
|
java
|
@SuppressWarnings("unchecked")
public static <T extends Comparable<? super T>> T min(T... numberArray) {
return ArrayUtil.min(numberArray);
}
|
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] |
取最小值
@param <T> 元素类型
@param numberArray 数字数组
@return 最小值
@since 4.0.7
@see ArrayUtil#min(Comparable[])
|
[
"取最小值"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L1708-L1711
|
train
|
Returns the smallest element of an array.
|
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apache/flink
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flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java
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Configuration.getLongBytes
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public long getLongBytes(String name, long defaultValue) {
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java
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public long getLongBytes(String name, long defaultValue) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java#L1431-L1436
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.zip
|
public static <K, V> Map<K, V> zip(K[] keys, V[] values, boolean isOrder) {
if (isEmpty(keys) || isEmpty(values)) {
return null;
}
final int size = Math.min(keys.length, values.length);
final Map<K, V> map = CollectionUtil.newHashMap(size, isOrder);
for (int i = 0; i < size; i++) {
map.put(keys[i], values[i]);
}
return map;
}
|
java
|
public static <K, V> Map<K, V> zip(K[] keys, V[] values, boolean isOrder) {
if (isEmpty(keys) || isEmpty(values)) {
return null;
}
final int size = Math.min(keys.length, values.length);
final Map<K, V> map = CollectionUtil.newHashMap(size, isOrder);
for (int i = 0; i < size; i++) {
map.put(keys[i], values[i]);
}
return map;
}
|
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映射键值（参考Python的zip()函数）<br>
例如：<br>
keys = [a,b,c,d]<br>
values = [1,2,3,4]<br>
则得到的Map是 {a=1, b=2, c=3, d=4}<br>
如果两个数组长度不同，则只对应最短部分
@param <K> Key类型
@param <V> Value类型
@param keys 键列表
@param values 值列表
@param isOrder 是否有序
@return Map
@since 3.0.4
|
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L855-L867
|
train
|
Creates a map of the specified keys and values using the specified order.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/Preconditions.java
|
Preconditions.checkElementIndex
|
public static void checkElementIndex(int index, int size) {
checkArgument(size >= 0, "Size was negative.");
if (index < 0 || index >= size) {
throw new IndexOutOfBoundsException("Index: " + index + ", Size: " + size);
}
}
|
java
|
public static void checkElementIndex(int index, int size) {
checkArgument(size >= 0, "Size was negative.");
if (index < 0 || index >= size) {
throw new IndexOutOfBoundsException("Index: " + index + ", Size: " + size);
}
}
|
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Ensures that the given index is valid for an array, list or string of the given size.
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@throws IndexOutOfBoundsException Thrown, if the index negative or greater than or equal to size
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/Preconditions.java#L230-L235
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train
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Check that the index is within the bounds of the specified size.
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/bind/Binder.java
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Binder.bind
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public <T> BindResult<T> bind(String name, Class<T> target) {
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java
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public <T> BindResult<T> bind(String name, Class<T> target) {
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/bind/Binder.java#L151-L153
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train
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ZipUtil.java
|
ZipUtil.unGzip
|
public static String unGzip(byte[] buf, String charset) throws UtilException {
return StrUtil.str(unGzip(buf), charset);
}
|
java
|
public static String unGzip(byte[] buf, String charset) throws UtilException {
return StrUtil.str(unGzip(buf), charset);
}
|
[
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Gzip解压缩处理
@param buf 压缩过的字节流
@param charset 编码
@return 解压后的字符串
@throws UtilException IO异常
|
[
"Gzip解压缩处理"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ZipUtil.java#L567-L569
|
train
|
Un - GZIP encodes the given byte array into a String.
|
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftHttpServlet.java
|
ThriftHttpServlet.validateCookie
|
private String validateCookie(HttpServletRequest request) throws UnsupportedEncodingException {
// Find all the valid cookies associated with the request.
Cookie[] cookies = request.getCookies();
if (cookies == null) {
if (LOG.isDebugEnabled()) {
LOG.debug("No valid cookies associated with the request " + request);
}
return null;
}
if (LOG.isDebugEnabled()) {
LOG.debug("Received cookies: " + toCookieStr(cookies));
}
return getClientNameFromCookie(cookies);
}
|
java
|
private String validateCookie(HttpServletRequest request) throws UnsupportedEncodingException {
// Find all the valid cookies associated with the request.
Cookie[] cookies = request.getCookies();
if (cookies == null) {
if (LOG.isDebugEnabled()) {
LOG.debug("No valid cookies associated with the request " + request);
}
return null;
}
if (LOG.isDebugEnabled()) {
LOG.debug("Received cookies: " + toCookieStr(cookies));
}
return getClientNameFromCookie(cookies);
}
|
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Validate the request cookie. This function iterates over the request cookie headers
and finds a cookie that represents a valid client/server session. If it finds one, it
returns the client name associated with the session. Else, it returns null.
@param request The HTTP Servlet Request send by the client
@return Client Username if the request has valid HS2 cookie, else returns null
@throws UnsupportedEncodingException
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftHttpServlet.java#L259-L273
|
train
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Validate the cookies associated with the request.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/date/Zodiac.java
|
Zodiac.getZodiac
|
public static String getZodiac(Calendar calendar) {
if (null == calendar) {
return null;
}
return getZodiac(calendar.get(Calendar.MONTH), calendar.get(Calendar.DAY_OF_MONTH));
}
|
java
|
public static String getZodiac(Calendar calendar) {
if (null == calendar) {
return null;
}
return getZodiac(calendar.get(Calendar.MONTH), calendar.get(Calendar.DAY_OF_MONTH));
}
|
[
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"DAY_OF_MONTH",
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")",
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"}"
] |
通过生日计算星座
@param calendar 出生日期
@return 星座名
|
[
"通过生日计算星座"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/Zodiac.java#L36-L41
|
train
|
Gets the zodiac string from a calendar object.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/CompactingHashTable.java
|
CompactingHashTable.createPartitions
|
private void createPartitions(int numPartitions) {
this.partitions.clear();
ListMemorySegmentSource memSource = new ListMemorySegmentSource(this.availableMemory);
for (int i = 0; i < numPartitions; i++) {
this.partitions.add(new InMemoryPartition<T>(this.buildSideSerializer, i, memSource, this.segmentSize, pageSizeInBits));
}
this.compactionMemory = new InMemoryPartition<T>(this.buildSideSerializer, -1, memSource, this.segmentSize, pageSizeInBits);
}
|
java
|
private void createPartitions(int numPartitions) {
this.partitions.clear();
ListMemorySegmentSource memSource = new ListMemorySegmentSource(this.availableMemory);
for (int i = 0; i < numPartitions; i++) {
this.partitions.add(new InMemoryPartition<T>(this.buildSideSerializer, i, memSource, this.segmentSize, pageSizeInBits));
}
this.compactionMemory = new InMemoryPartition<T>(this.buildSideSerializer, -1, memSource, this.segmentSize, pageSizeInBits);
}
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/CompactingHashTable.java#L676-L685
|
train
|
Creates the partitions.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java
|
IOUtil.removeUTF8BOM
|
public static String removeUTF8BOM(String line)
{
if (line != null && line.startsWith("\uFEFF")) // UTF-8 byte order mark (EF BB BF)
{
line = line.substring(1);
}
return line;
}
|
java
|
public static String removeUTF8BOM(String line)
{
if (line != null && line.startsWith("\uFEFF")) // UTF-8 byte order mark (EF BB BF)
{
line = line.substring(1);
}
return line;
}
|
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去除文件第一行中的UTF8 BOM<br>
这是Java的bug，且官方不会修复。参考 https://stackoverflow.com/questions/4897876/reading-utf-8-bom-marker
@param line 文件第一行
@return 去除BOM的部分
|
[
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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java#L410-L417
|
train
|
Remove UTF - 8 BOM from a line of text.
|
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spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java
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JSONObject.toJSONArray
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public JSONArray toJSONArray(JSONArray names) {
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result.put(opt(name));
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return result;
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java
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public JSONArray toJSONArray(JSONArray names) {
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int length = names.length();
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return null;
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for (int i = 0; i < length; i++) {
String name = JSON.toString(names.opt(i));
result.put(opt(name));
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return result;
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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train
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looly/hutool
|
hutool-cache/src/main/java/cn/hutool/cache/impl/AbstractCache.java
|
AbstractCache.remove
|
private void remove(K key, boolean withMissCount) {
writeLock.lock();
CacheObj<K, V> co;
try {
co = cacheMap.remove(key);
if (withMissCount) {
this.missCount--;
}
} finally {
writeLock.unlock();
}
if (null != co) {
onRemove(co.key, co.obj);
}
}
|
java
|
private void remove(K key, boolean withMissCount) {
writeLock.lock();
CacheObj<K, V> co;
try {
co = cacheMap.remove(key);
if (withMissCount) {
this.missCount--;
}
} finally {
writeLock.unlock();
}
if (null != co) {
onRemove(co.key, co.obj);
}
}
|
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移除key对应的对象
@param key 键
@param withMissCount 是否计数丢失数
|
[
"移除key对应的对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cache/src/main/java/cn/hutool/cache/impl/AbstractCache.java#L292-L306
|
train
|
Remove the object from the cache.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.filter
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public static <T> T[] filter(T[] array, Editor<T> editor) {
ArrayList<T> list = new ArrayList<T>(array.length);
T modified;
for (T t : array) {
modified = editor.edit(t);
if (null != modified) {
list.add(modified);
}
}
return list.toArray(Arrays.copyOf(array, list.size()));
}
|
java
|
public static <T> T[] filter(T[] array, Editor<T> editor) {
ArrayList<T> list = new ArrayList<T>(array.length);
T modified;
for (T t : array) {
modified = editor.edit(t);
if (null != modified) {
list.add(modified);
}
}
return list.toArray(Arrays.copyOf(array, list.size()));
}
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过滤<br>
过滤过程通过传入的Editor实现来返回需要的元素内容，这个Editor实现可以实现以下功能：
<pre>
1、过滤出需要的对象，如果返回null表示这个元素对象抛弃
2、修改元素对象，返回集合中为修改后的对象
</pre>
@param <T> 数组元素类型
@param array 数组
@param editor 编辑器接口
@return 过滤后的数组
|
[
"过滤<br",
">",
"过滤过程通过传入的Editor实现来返回需要的元素内容，这个Editor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/util/ArrayUtil.java#L733-L743
|
train
|
Filters the given array using the given editor.
|
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apache/spark
|
common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java
|
JavaUtils.closeQuietly
|
public static void closeQuietly(Closeable closeable) {
try {
if (closeable != null) {
closeable.close();
}
} catch (IOException e) {
logger.error("IOException should not have been thrown.", e);
}
}
|
java
|
public static void closeQuietly(Closeable closeable) {
try {
if (closeable != null) {
closeable.close();
}
} catch (IOException e) {
logger.error("IOException should not have been thrown.", e);
}
}
|
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Closes the given object, ignoring IOExceptions.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java#L50-L58
|
train
|
Close a Closeable object.
|
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30526
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/ExecutionEnvironment.java
|
ExecutionEnvironment.createLocalEnvironmentWithWebUI
|
@PublicEvolving
public static ExecutionEnvironment createLocalEnvironmentWithWebUI(Configuration conf) {
checkNotNull(conf, "conf");
conf.setBoolean(ConfigConstants.LOCAL_START_WEBSERVER, true);
if (!conf.contains(RestOptions.PORT)) {
// explicitly set this option so that it's not set to 0 later
conf.setInteger(RestOptions.PORT, RestOptions.PORT.defaultValue());
}
return createLocalEnvironment(conf, -1);
}
|
java
|
@PublicEvolving
public static ExecutionEnvironment createLocalEnvironmentWithWebUI(Configuration conf) {
checkNotNull(conf, "conf");
conf.setBoolean(ConfigConstants.LOCAL_START_WEBSERVER, true);
if (!conf.contains(RestOptions.PORT)) {
// explicitly set this option so that it's not set to 0 later
conf.setInteger(RestOptions.PORT, RestOptions.PORT.defaultValue());
}
return createLocalEnvironment(conf, -1);
}
|
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Creates a {@link LocalEnvironment} for local program execution that also starts the
web monitoring UI.
<p>The local execution environment will run the program in a multi-threaded fashion in
the same JVM as the environment was created in. It will use the parallelism specified in the
parameter.
<p>If the configuration key 'rest.port' was set in the configuration, that particular
port will be used for the web UI. Otherwise, the default port (8081) will be used.
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/ExecutionEnvironment.java#L1128-L1140
|
train
|
Creates a local environment with web UI.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoComparator.java
|
PojoComparator.accessField
|
public final Object accessField(Field field, Object object) {
try {
object = field.get(object);
} catch (NullPointerException npex) {
throw new NullKeyFieldException("Unable to access field "+field+" on object "+object);
} catch (IllegalAccessException iaex) {
throw new RuntimeException("This should not happen since we call setAccesssible(true) in PojoTypeInfo."
+ " fields: " + field + " obj: " + object);
}
return object;
}
|
java
|
public final Object accessField(Field field, Object object) {
try {
object = field.get(object);
} catch (NullPointerException npex) {
throw new NullKeyFieldException("Unable to access field "+field+" on object "+object);
} catch (IllegalAccessException iaex) {
throw new RuntimeException("This should not happen since we call setAccesssible(true) in PojoTypeInfo."
+ " fields: " + field + " obj: " + object);
}
return object;
}
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoComparator.java#L177-L187
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train
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Access the value of the given field on the given object.
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/highavailability/zookeeper/ZooKeeperHaServices.java
|
ZooKeeperHaServices.close
|
@Override
public void close() throws Exception {
Throwable exception = null;
try {
blobStoreService.close();
} catch (Throwable t) {
exception = t;
}
internalClose();
if (exception != null) {
ExceptionUtils.rethrowException(exception, "Could not properly close the ZooKeeperHaServices.");
}
}
|
java
|
@Override
public void close() throws Exception {
Throwable exception = null;
try {
blobStoreService.close();
} catch (Throwable t) {
exception = t;
}
internalClose();
if (exception != null) {
ExceptionUtils.rethrowException(exception, "Could not properly close the ZooKeeperHaServices.");
}
}
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/highavailability/zookeeper/ZooKeeperHaServices.java#L202-L217
|
train
|
Close the ZooKeeperHaServices.
|
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30526
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/utils/DataSetUtils.java
|
DataSetUtils.zipWithUniqueId
|
public static <T> DataSet<Tuple2<Long, T>> zipWithUniqueId (DataSet <T> input) {
return input.mapPartition(new RichMapPartitionFunction<T, Tuple2<Long, T>>() {
long maxBitSize = getBitSize(Long.MAX_VALUE);
long shifter = 0;
long start = 0;
long taskId = 0;
long label = 0;
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
shifter = getBitSize(getRuntimeContext().getNumberOfParallelSubtasks() - 1);
taskId = getRuntimeContext().getIndexOfThisSubtask();
}
@Override
public void mapPartition(Iterable<T> values, Collector<Tuple2<Long, T>> out) throws Exception {
for (T value : values) {
label = (start << shifter) + taskId;
if (getBitSize(start) + shifter < maxBitSize) {
out.collect(new Tuple2<>(label, value));
start++;
} else {
throw new Exception("Exceeded Long value range while generating labels");
}
}
}
});
}
|
java
|
public static <T> DataSet<Tuple2<Long, T>> zipWithUniqueId (DataSet <T> input) {
return input.mapPartition(new RichMapPartitionFunction<T, Tuple2<Long, T>>() {
long maxBitSize = getBitSize(Long.MAX_VALUE);
long shifter = 0;
long start = 0;
long taskId = 0;
long label = 0;
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
shifter = getBitSize(getRuntimeContext().getNumberOfParallelSubtasks() - 1);
taskId = getRuntimeContext().getIndexOfThisSubtask();
}
@Override
public void mapPartition(Iterable<T> values, Collector<Tuple2<Long, T>> out) throws Exception {
for (T value : values) {
label = (start << shifter) + taskId;
if (getBitSize(start) + shifter < maxBitSize) {
out.collect(new Tuple2<>(label, value));
start++;
} else {
throw new Exception("Exceeded Long value range while generating labels");
}
}
}
});
}
|
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Method that assigns a unique {@link Long} value to all elements in the input data set as described below.
<ul>
<li> a map function is applied to the input data set
<li> each map task holds a counter c which is increased for each record
<li> c is shifted by n bits where n = log2(number of parallel tasks)
<li> to create a unique ID among all tasks, the task id is added to the counter
<li> for each record, the resulting counter is collected
</ul>
@param input the input data set
@return a data set of tuple 2 consisting of ids and initial values.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/DataSetUtils.java#L149-L180
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train
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Zip with unique id.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java
|
ReUtil.replaceAll
|
public static String replaceAll(CharSequence str, String regex, Func1<Matcher, String> replaceFun) {
return replaceAll(str, Pattern.compile(regex), replaceFun);
}
|
java
|
public static String replaceAll(CharSequence str, String regex, Func1<Matcher, String> replaceFun) {
return replaceAll(str, Pattern.compile(regex), replaceFun);
}
|
[
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".",
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"regex",
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",",
"replaceFun",
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] |
替换所有正则匹配的文本，并使用自定义函数决定如何替换
@param str 要替换的字符串
@param regex 用于匹配的正则式
@param replaceFun 决定如何替换的函数
@return 替换后的文本
@since 4.2.2
|
[
"替换所有正则匹配的文本，并使用自定义函数决定如何替换"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java#L649-L651
|
train
|
Replaces all occurrences of the given regular expression with the given replacement function.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/file/FileWriter.java
|
FileWriter.writeMap
|
public File writeMap(Map<?, ?> map, LineSeparator lineSeparator, String kvSeparator, boolean isAppend) throws IORuntimeException {
if(null == kvSeparator) {
kvSeparator = " = ";
}
try(PrintWriter writer = getPrintWriter(isAppend)) {
for (Entry<?, ?> entry : map.entrySet()) {
if (null != entry) {
writer.print(StrUtil.format("{}{}{}", entry.getKey(), kvSeparator, entry.getValue()));
printNewLine(writer, lineSeparator);
writer.flush();
}
}
}
return this.file;
}
|
java
|
public File writeMap(Map<?, ?> map, LineSeparator lineSeparator, String kvSeparator, boolean isAppend) throws IORuntimeException {
if(null == kvSeparator) {
kvSeparator = " = ";
}
try(PrintWriter writer = getPrintWriter(isAppend)) {
for (Entry<?, ?> entry : map.entrySet()) {
if (null != entry) {
writer.print(StrUtil.format("{}{}{}", entry.getKey(), kvSeparator, entry.getValue()));
printNewLine(writer, lineSeparator);
writer.flush();
}
}
}
return this.file;
}
|
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] |
将Map写入文件，每个键值对为一行，一行中键与值之间使用kvSeparator分隔
@param map Map
@param lineSeparator 换行符枚举（Windows、Mac或Linux换行符）
@param kvSeparator 键和值之间的分隔符，如果传入null使用默认分隔符" = "
@param isAppend 是否追加
@return 目标文件
@throws IORuntimeException IO异常
@since 4.0.5
|
[
"将Map写入文件，每个键值对为一行，一行中键与值之间使用kvSeparator分隔"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/file/FileWriter.java#L235-L249
|
train
|
Write a map to the file.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/savepoint/SavepointV2.java
|
SavepointV2.convertToOperatorStateSavepointV2
|
@Deprecated
public static Savepoint convertToOperatorStateSavepointV2(
Map<JobVertexID, ExecutionJobVertex> tasks,
Savepoint savepoint) {
if (savepoint.getOperatorStates() != null) {
return savepoint;
}
boolean expandedToLegacyIds = false;
Map<OperatorID, OperatorState> operatorStates = new HashMap<>(savepoint.getTaskStates().size() << 1);
for (TaskState taskState : savepoint.getTaskStates()) {
ExecutionJobVertex jobVertex = tasks.get(taskState.getJobVertexID());
// on the first time we can not find the execution job vertex for an id, we also consider alternative ids,
// for example as generated from older flink versions, to provide backwards compatibility.
if (jobVertex == null && !expandedToLegacyIds) {
tasks = ExecutionJobVertex.includeLegacyJobVertexIDs(tasks);
jobVertex = tasks.get(taskState.getJobVertexID());
expandedToLegacyIds = true;
}
if (jobVertex == null) {
throw new IllegalStateException(
"Could not find task for state with ID " + taskState.getJobVertexID() + ". " +
"When migrating a savepoint from a version < 1.3 please make sure that the topology was not " +
"changed through removal of a stateful operator or modification of a chain containing a stateful " +
"operator.");
}
List<OperatorID> operatorIDs = jobVertex.getOperatorIDs();
Preconditions.checkArgument(
jobVertex.getParallelism() == taskState.getParallelism(),
"Detected change in parallelism during migration for task " + jobVertex.getJobVertexId() +"." +
"When migrating a savepoint from a version < 1.3 please make sure that no changes were made " +
"to the parallelism of stateful operators.");
Preconditions.checkArgument(
operatorIDs.size() == taskState.getChainLength(),
"Detected change in chain length during migration for task " + jobVertex.getJobVertexId() +". " +
"When migrating a savepoint from a version < 1.3 please make sure that the topology was not " +
"changed by modification of a chain containing a stateful operator.");
for (int subtaskIndex = 0; subtaskIndex < jobVertex.getParallelism(); subtaskIndex++) {
SubtaskState subtaskState;
try {
subtaskState = taskState.getState(subtaskIndex);
} catch (Exception e) {
throw new IllegalStateException(
"Could not find subtask with index " + subtaskIndex + " for task " + jobVertex.getJobVertexId() + ". " +
"When migrating a savepoint from a version < 1.3 please make sure that no changes were made " +
"to the parallelism of stateful operators.",
e);
}
if (subtaskState == null) {
continue;
}
ChainedStateHandle<OperatorStateHandle> partitioneableState =
subtaskState.getManagedOperatorState();
ChainedStateHandle<OperatorStateHandle> rawOperatorState =
subtaskState.getRawOperatorState();
for (int chainIndex = 0; chainIndex < taskState.getChainLength(); chainIndex++) {
// task consists of multiple operators so we have to break the state apart
for (int operatorIndex = 0; operatorIndex < operatorIDs.size(); operatorIndex++) {
OperatorID operatorID = operatorIDs.get(operatorIndex);
OperatorState operatorState = operatorStates.get(operatorID);
if (operatorState == null) {
operatorState = new OperatorState(
operatorID,
jobVertex.getParallelism(),
jobVertex.getMaxParallelism());
operatorStates.put(operatorID, operatorState);
}
KeyedStateHandle managedKeyedState = null;
KeyedStateHandle rawKeyedState = null;
// only the head operator retains the keyed state
if (operatorIndex == operatorIDs.size() - 1) {
managedKeyedState = subtaskState.getManagedKeyedState();
rawKeyedState = subtaskState.getRawKeyedState();
}
OperatorSubtaskState operatorSubtaskState = new OperatorSubtaskState(
partitioneableState != null ? partitioneableState.get(operatorIndex) : null,
rawOperatorState != null ? rawOperatorState.get(operatorIndex) : null,
managedKeyedState,
rawKeyedState);
operatorState.putState(subtaskIndex, operatorSubtaskState);
}
}
}
}
return new SavepointV2(
savepoint.getCheckpointId(),
operatorStates.values(),
savepoint.getMasterStates());
}
|
java
|
@Deprecated
public static Savepoint convertToOperatorStateSavepointV2(
Map<JobVertexID, ExecutionJobVertex> tasks,
Savepoint savepoint) {
if (savepoint.getOperatorStates() != null) {
return savepoint;
}
boolean expandedToLegacyIds = false;
Map<OperatorID, OperatorState> operatorStates = new HashMap<>(savepoint.getTaskStates().size() << 1);
for (TaskState taskState : savepoint.getTaskStates()) {
ExecutionJobVertex jobVertex = tasks.get(taskState.getJobVertexID());
// on the first time we can not find the execution job vertex for an id, we also consider alternative ids,
// for example as generated from older flink versions, to provide backwards compatibility.
if (jobVertex == null && !expandedToLegacyIds) {
tasks = ExecutionJobVertex.includeLegacyJobVertexIDs(tasks);
jobVertex = tasks.get(taskState.getJobVertexID());
expandedToLegacyIds = true;
}
if (jobVertex == null) {
throw new IllegalStateException(
"Could not find task for state with ID " + taskState.getJobVertexID() + ". " +
"When migrating a savepoint from a version < 1.3 please make sure that the topology was not " +
"changed through removal of a stateful operator or modification of a chain containing a stateful " +
"operator.");
}
List<OperatorID> operatorIDs = jobVertex.getOperatorIDs();
Preconditions.checkArgument(
jobVertex.getParallelism() == taskState.getParallelism(),
"Detected change in parallelism during migration for task " + jobVertex.getJobVertexId() +"." +
"When migrating a savepoint from a version < 1.3 please make sure that no changes were made " +
"to the parallelism of stateful operators.");
Preconditions.checkArgument(
operatorIDs.size() == taskState.getChainLength(),
"Detected change in chain length during migration for task " + jobVertex.getJobVertexId() +". " +
"When migrating a savepoint from a version < 1.3 please make sure that the topology was not " +
"changed by modification of a chain containing a stateful operator.");
for (int subtaskIndex = 0; subtaskIndex < jobVertex.getParallelism(); subtaskIndex++) {
SubtaskState subtaskState;
try {
subtaskState = taskState.getState(subtaskIndex);
} catch (Exception e) {
throw new IllegalStateException(
"Could not find subtask with index " + subtaskIndex + " for task " + jobVertex.getJobVertexId() + ". " +
"When migrating a savepoint from a version < 1.3 please make sure that no changes were made " +
"to the parallelism of stateful operators.",
e);
}
if (subtaskState == null) {
continue;
}
ChainedStateHandle<OperatorStateHandle> partitioneableState =
subtaskState.getManagedOperatorState();
ChainedStateHandle<OperatorStateHandle> rawOperatorState =
subtaskState.getRawOperatorState();
for (int chainIndex = 0; chainIndex < taskState.getChainLength(); chainIndex++) {
// task consists of multiple operators so we have to break the state apart
for (int operatorIndex = 0; operatorIndex < operatorIDs.size(); operatorIndex++) {
OperatorID operatorID = operatorIDs.get(operatorIndex);
OperatorState operatorState = operatorStates.get(operatorID);
if (operatorState == null) {
operatorState = new OperatorState(
operatorID,
jobVertex.getParallelism(),
jobVertex.getMaxParallelism());
operatorStates.put(operatorID, operatorState);
}
KeyedStateHandle managedKeyedState = null;
KeyedStateHandle rawKeyedState = null;
// only the head operator retains the keyed state
if (operatorIndex == operatorIDs.size() - 1) {
managedKeyedState = subtaskState.getManagedKeyedState();
rawKeyedState = subtaskState.getRawKeyedState();
}
OperatorSubtaskState operatorSubtaskState = new OperatorSubtaskState(
partitioneableState != null ? partitioneableState.get(operatorIndex) : null,
rawOperatorState != null ? rawOperatorState.get(operatorIndex) : null,
managedKeyedState,
rawKeyedState);
operatorState.putState(subtaskIndex, operatorSubtaskState);
}
}
}
}
return new SavepointV2(
savepoint.getCheckpointId(),
operatorStates.values(),
savepoint.getMasterStates());
}
|
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] |
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@param savepoint savepoint to convert
@param tasks map of all vertices and their job vertex ids
@return converted completed checkpoint
@deprecated Only kept for backwards-compatibility with versions < 1.3. Will be removed in the future.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/savepoint/SavepointV2.java#L147-L254
|
train
|
Convert a savepoint from a version 1. 3 to a savepoint from a version 1. 3.
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/KeyUtil.java
|
KeyUtil.getKeyFactory
|
public static KeyFactory getKeyFactory(String algorithm) {
final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider();
KeyFactory keyFactory;
try {
keyFactory = (null == provider) //
? KeyFactory.getInstance(getMainAlgorithm(algorithm)) //
: KeyFactory.getInstance(getMainAlgorithm(algorithm), provider);
} catch (NoSuchAlgorithmException e) {
throw new CryptoException(e);
}
return keyFactory;
}
|
java
|
public static KeyFactory getKeyFactory(String algorithm) {
final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider();
KeyFactory keyFactory;
try {
keyFactory = (null == provider) //
? KeyFactory.getInstance(getMainAlgorithm(algorithm)) //
: KeyFactory.getInstance(getMainAlgorithm(algorithm), provider);
} catch (NoSuchAlgorithmException e) {
throw new CryptoException(e);
}
return keyFactory;
}
|
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] |
获取{@link KeyFactory}
@param algorithm 非对称加密算法
@return {@link KeyFactory}
@since 4.4.4
|
[
"获取",
"{",
"@link",
"KeyFactory",
"}"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/KeyUtil.java#L459-L471
|
train
|
Gets the KeyFactory for the given algorithm.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.rotate
|
public static BufferedImage rotate(Image image, int degree) {
return Img.from(image).rotate(degree).getImg();
}
|
java
|
public static BufferedImage rotate(Image image, int degree) {
return Img.from(image).rotate(degree).getImg();
}
|
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旋转图片为指定角度<br>
来自：http://blog.51cto.com/cping1982/130066
@param image 目标图像
@param degree 旋转角度
@return 旋转后的图片
@since 3.2.2
|
[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L1057-L1059
|
train
|
Rotate an image.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/ftp/Ftp.java
|
Ftp.init
|
public Ftp init(String host, int port, String user, String password) {
return this.init(host,port,user,password,null);
}
|
java
|
public Ftp init(String host, int port, String user, String password) {
return this.init(host,port,user,password,null);
}
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初始化连接
@param host 域名或IP
@param port 端口
@param user 用户名
@param password 密码
@return this
|
[
"初始化连接"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/ftp/Ftp.java#L118-L120
|
train
|
Initializes the connection to the specified host.
|
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apache/spark
|
core/src/main/java/org/apache/spark/memory/MemoryConsumer.java
|
MemoryConsumer.allocateArray
|
public LongArray allocateArray(long size) {
long required = size * 8L;
MemoryBlock page = taskMemoryManager.allocatePage(required, this);
if (page == null || page.size() < required) {
throwOom(page, required);
}
used += required;
return new LongArray(page);
}
|
java
|
public LongArray allocateArray(long size) {
long required = size * 8L;
MemoryBlock page = taskMemoryManager.allocatePage(required, this);
if (page == null || page.size() < required) {
throwOom(page, required);
}
used += required;
return new LongArray(page);
}
|
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@throws SparkOutOfMemoryError
@throws TooLargePageException
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/MemoryConsumer.java#L94-L102
|
train
|
Allocate a long array of the specified size.
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/ServletRegistrationBean.java
|
ServletRegistrationBean.addUrlMappings
|
public void addUrlMappings(String... urlMappings) {
Assert.notNull(urlMappings, "UrlMappings must not be null");
this.urlMappings.addAll(Arrays.asList(urlMappings));
}
|
java
|
public void addUrlMappings(String... urlMappings) {
Assert.notNull(urlMappings, "UrlMappings must not be null");
this.urlMappings.addAll(Arrays.asList(urlMappings));
}
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Add URL mappings, as defined in the Servlet specification, for the servlet.
@param urlMappings the mappings to add
@see #setUrlMappings(Collection)
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/ServletRegistrationBean.java#L140-L143
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train
|
Add url mappings.
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apache/flink
|
flink-connectors/flink-connector-elasticsearch-base/src/main/java/org/apache/flink/table/descriptors/Elasticsearch.java
|
Elasticsearch.bulkFlushMaxSize
|
public Elasticsearch bulkFlushMaxSize(String maxSize) {
internalProperties.putMemorySize(CONNECTOR_BULK_FLUSH_MAX_SIZE, MemorySize.parse(maxSize, MemorySize.MemoryUnit.BYTES));
return this;
}
|
java
|
public Elasticsearch bulkFlushMaxSize(String maxSize) {
internalProperties.putMemorySize(CONNECTOR_BULK_FLUSH_MAX_SIZE, MemorySize.parse(maxSize, MemorySize.MemoryUnit.BYTES));
return this;
}
|
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] |
Configures how to buffer elements before sending them in bulk to the cluster for efficiency.
<p>Sets the maximum size of buffered actions per bulk request (using the syntax of {@link MemorySize}).
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-elasticsearch-base/src/main/java/org/apache/flink/table/descriptors/Elasticsearch.java#L209-L212
|
train
|
Sets the maximum size of the bulk flush operation to be performed.
|
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apache/flink
|
flink-optimizer/src/main/java/org/apache/flink/optimizer/plan/WorksetIterationPlanNode.java
|
WorksetIterationPlanNode.setCosts
|
public void setCosts(Costs nodeCosts) {
// add the costs from the step function
nodeCosts.addCosts(this.solutionSetDeltaPlanNode.getCumulativeCostsShare());
nodeCosts.addCosts(this.nextWorkSetPlanNode.getCumulativeCostsShare());
super.setCosts(nodeCosts);
}
|
java
|
public void setCosts(Costs nodeCosts) {
// add the costs from the step function
nodeCosts.addCosts(this.solutionSetDeltaPlanNode.getCumulativeCostsShare());
nodeCosts.addCosts(this.nextWorkSetPlanNode.getCumulativeCostsShare());
super.setCosts(nodeCosts);
}
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/plan/WorksetIterationPlanNode.java#L152-L158
|
train
|
Add costs from the solution set delta and next work set costs to the node costs
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java
|
IterUtil.join
|
public static <T> String join(Iterator<T> iterator, CharSequence conjunction) {
return join(iterator, conjunction, null, null);
}
|
java
|
public static <T> String join(Iterator<T> iterator, CharSequence conjunction) {
return join(iterator, conjunction, null, null);
}
|
[
"public",
"static",
"<",
"T",
">",
"String",
"join",
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"Iterator",
"<",
"T",
">",
"iterator",
",",
"CharSequence",
"conjunction",
")",
"{",
"return",
"join",
"(",
"iterator",
",",
"conjunction",
",",
"null",
",",
"null",
")",
";",
"}"
] |
以 conjunction 为分隔符将集合转换为字符串<br>
如果集合元素为数组、{@link Iterable}或{@link Iterator}，则递归组合其为字符串
@param <T> 集合元素类型
@param iterator 集合
@param conjunction 分隔符
@return 连接后的字符串
|
[
"以",
"conjunction",
"为分隔符将集合转换为字符串<br",
">",
"如果集合元素为数组、",
"{",
"@link",
"Iterable",
"}",
"或",
"{",
"@link",
"Iterator",
"}",
"，则递归组合其为字符串"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java#L296-L298
|
train
|
Joins the elements of an iterator with the given conjunction.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/broadcast/BroadcastVariableManager.java
|
BroadcastVariableManager.materializeBroadcastVariable
|
public <T> BroadcastVariableMaterialization<T, ?> materializeBroadcastVariable(String name, int superstep, BatchTask<?, ?> holder,
MutableReader<?> reader, TypeSerializerFactory<T> serializerFactory) throws IOException {
final BroadcastVariableKey key = new BroadcastVariableKey(holder.getEnvironment().getJobVertexId(), name, superstep);
while (true) {
final BroadcastVariableMaterialization<T, Object> newMat = new BroadcastVariableMaterialization<T, Object>(key);
final BroadcastVariableMaterialization<?, ?> previous = variables.putIfAbsent(key, newMat);
@SuppressWarnings("unchecked")
final BroadcastVariableMaterialization<T, ?> materialization = (previous == null) ? newMat : (BroadcastVariableMaterialization<T, ?>) previous;
try {
materialization.materializeVariable(reader, serializerFactory, holder);
return materialization;
}
catch (MaterializationExpiredException e) {
// concurrent release. as an optimization, try to replace the previous one with our version. otherwise we might spin for a while
// until the releaser removes the variable
// NOTE: This would also catch a bug prevented an expired materialization from ever being removed, so it acts as a future safeguard
boolean replaceSuccessful = false;
try {
replaceSuccessful = variables.replace(key, materialization, newMat);
}
catch (Throwable t) {}
if (replaceSuccessful) {
try {
newMat.materializeVariable(reader, serializerFactory, holder);
return newMat;
}
catch (MaterializationExpiredException ee) {
// can still happen in cases of extreme races and fast tasks
// fall through the loop;
}
}
// else fall through the loop
}
}
}
|
java
|
public <T> BroadcastVariableMaterialization<T, ?> materializeBroadcastVariable(String name, int superstep, BatchTask<?, ?> holder,
MutableReader<?> reader, TypeSerializerFactory<T> serializerFactory) throws IOException {
final BroadcastVariableKey key = new BroadcastVariableKey(holder.getEnvironment().getJobVertexId(), name, superstep);
while (true) {
final BroadcastVariableMaterialization<T, Object> newMat = new BroadcastVariableMaterialization<T, Object>(key);
final BroadcastVariableMaterialization<?, ?> previous = variables.putIfAbsent(key, newMat);
@SuppressWarnings("unchecked")
final BroadcastVariableMaterialization<T, ?> materialization = (previous == null) ? newMat : (BroadcastVariableMaterialization<T, ?>) previous;
try {
materialization.materializeVariable(reader, serializerFactory, holder);
return materialization;
}
catch (MaterializationExpiredException e) {
// concurrent release. as an optimization, try to replace the previous one with our version. otherwise we might spin for a while
// until the releaser removes the variable
// NOTE: This would also catch a bug prevented an expired materialization from ever being removed, so it acts as a future safeguard
boolean replaceSuccessful = false;
try {
replaceSuccessful = variables.replace(key, materialization, newMat);
}
catch (Throwable t) {}
if (replaceSuccessful) {
try {
newMat.materializeVariable(reader, serializerFactory, holder);
return newMat;
}
catch (MaterializationExpiredException ee) {
// can still happen in cases of extreme races and fast tasks
// fall through the loop;
}
}
// else fall through the loop
}
}
}
|
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Materializes the broadcast variable for the given name, scoped to the given task and its iteration superstep. An
existing materialization created by another parallel subtask may be returned, if it hasn't expired yet.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/broadcast/BroadcastVariableManager.java#L45-L85
|
train
|
Materialize a broadcast variable.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.file
|
public static File file(String... names) {
if (ArrayUtil.isEmpty(names)) {
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}
File file = null;
for (String name : names) {
if (file == null) {
file = file(name);
} else {
file = file(file, name);
}
}
return file;
}
|
java
|
public static File file(String... names) {
if (ArrayUtil.isEmpty(names)) {
return null;
}
File file = null;
for (String name : names) {
if (file == null) {
file = file(name);
} else {
file = file(file, name);
}
}
return file;
}
|
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通过多层目录创建文件
元素名（多层目录名）
@return the file 文件
@since 4.0.6
|
[
"通过多层目录创建文件"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L380-L394
|
train
|
Creates a new File object with the specified name and directories.
|
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looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONArray.java
|
JSONArray.toJSONObject
|
public JSONObject toJSONObject(JSONArray names) throws JSONException {
if (names == null || names.size() == 0 || this.size() == 0) {
return null;
}
JSONObject jo = new JSONObject();
for (int i = 0; i < names.size(); i += 1) {
jo.put(names.getStr(i), this.getObj(i));
}
return jo;
}
|
java
|
public JSONObject toJSONObject(JSONArray names) throws JSONException {
if (names == null || names.size() == 0 || this.size() == 0) {
return null;
}
JSONObject jo = new JSONObject();
for (int i = 0; i < names.size(); i += 1) {
jo.put(names.getStr(i), this.getObj(i));
}
return jo;
}
|
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] |
根据给定名列表，与其位置对应的值组成JSONObject
@param names 名列表，位置与JSONArray中的值位置对应
@return A JSONObject，无名或值返回null
@throws JSONException 如果任何一个名为null
|
[
"根据给定名列表，与其位置对应的值组成JSONObject"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONArray.java#L248-L257
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train
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Returns a JSONObject containing the contents of this object with the specified names.
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apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/JoinOperationFactory.java
|
JoinOperationFactory.create
|
public TableOperation create(
TableOperation left,
TableOperation right,
JoinType joinType,
Expression condition,
boolean correlated) {
verifyConditionType(condition);
validateNamesAmbiguity(left, right);
validateCondition(right, joinType, condition, correlated);
return new JoinTableOperation(left, right, joinType, condition, correlated);
}
|
java
|
public TableOperation create(
TableOperation left,
TableOperation right,
JoinType joinType,
Expression condition,
boolean correlated) {
verifyConditionType(condition);
validateNamesAmbiguity(left, right);
validateCondition(right, joinType, condition, correlated);
return new JoinTableOperation(left, right, joinType, condition, correlated);
}
|
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Creates a valid {@link JoinTableOperation} operation.
<p>It performs validations such as:
<ul>
<li>condition returns boolean</li>
<li>the condition is either always true or contains equi join</li>
<li>left and right side of the join do not contain ambiguous column names</li>
<li>that correlated join is an INNER join</li>
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@param left left side of the relational operation
@param right right side of the relational operation
@param joinType what sort of join to create
@param condition join condition to apply
@param correlated if the join should be a correlated join
@return valid join operation
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/JoinOperationFactory.java#L71-L81
|
train
|
Create a new JoinTableOperation.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatReactiveWebServerFactory.java
|
TomcatReactiveWebServerFactory.addProtocolHandlerCustomizers
|
@Override
public void addProtocolHandlerCustomizers(
TomcatProtocolHandlerCustomizer<?>... tomcatProtocolHandlerCustomizers) {
Assert.notNull(tomcatProtocolHandlerCustomizers,
"TomcatProtocolHandlerCustomizers must not be null");
this.tomcatProtocolHandlerCustomizers
.addAll(Arrays.asList(tomcatProtocolHandlerCustomizers));
}
|
java
|
@Override
public void addProtocolHandlerCustomizers(
TomcatProtocolHandlerCustomizer<?>... tomcatProtocolHandlerCustomizers) {
Assert.notNull(tomcatProtocolHandlerCustomizers,
"TomcatProtocolHandlerCustomizers must not be null");
this.tomcatProtocolHandlerCustomizers
.addAll(Arrays.asList(tomcatProtocolHandlerCustomizers));
}
|
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Add {@link TomcatProtocolHandlerCustomizer}s that should be added to the Tomcat
{@link Connector}.
@param tomcatProtocolHandlerCustomizers the customizers to add
@since 2.2.0
|
[
"Add",
"{"
] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatReactiveWebServerFactory.java#L311-L318
|
train
|
Add a list of Tomcat protocol handler customizers to the list.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple4.java
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Tuple4.of
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public static <T0, T1, T2, T3> Tuple4<T0, T1, T2, T3> of(T0 value0, T1 value1, T2 value2, T3 value3) {
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}
|
java
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public static <T0, T1, T2, T3> Tuple4<T0, T1, T2, T3> of(T0 value0, T1 value1, T2 value2, T3 value3) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple4.java#L217-L222
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train
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apache/flink
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flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java
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ParameterTool.has
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public boolean has(String value) {
addToDefaults(value, null);
unrequestedParameters.remove(value);
return data.containsKey(value);
}
|
java
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public boolean has(String value) {
addToDefaults(value, null);
unrequestedParameters.remove(value);
return data.containsKey(value);
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[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java#L273-L277
|
train
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apache/flink
|
flink-optimizer/src/main/java/org/apache/flink/optimizer/plan/SingleInputPlanNode.java
|
SingleInputPlanNode.getTrueArray
|
protected static boolean[] getTrueArray(int length) {
final boolean[] a = new boolean[length];
for (int i = 0; i < length; i++) {
a[i] = true;
}
return a;
}
|
java
|
protected static boolean[] getTrueArray(int length) {
final boolean[] a = new boolean[length];
for (int i = 0; i < length; i++) {
a[i] = true;
}
return a;
}
|
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/plan/SingleInputPlanNode.java#L264-L270
|
train
|
Get true array.
|
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