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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/model/crf/CRFModel.java
|
CRFModel.tag
|
public void tag(Table table)
{
int size = table.size();
if (size == 0) return;
int tagSize = id2tag.length;
double[][] net = new double[size][tagSize];
for (int i = 0; i < size; ++i)
{
LinkedList<double[]> scoreList = computeScoreList(table, i);
for (int tag = 0; tag < tagSize; ++tag)
{
net[i][tag] = computeScore(scoreList, tag);
}
}
if (size == 1)
{
double maxScore = -1e10;
int bestTag = 0;
for (int tag = 0; tag < net[0].length; ++tag)
{
if (net[0][tag] > maxScore)
{
maxScore = net[0][tag];
bestTag = tag;
}
}
table.setLast(0, id2tag[bestTag]);
return;
}
int[][] from = new int[size][tagSize];
double[][] maxScoreAt = new double[2][tagSize]; // 滚动数组
System.arraycopy(net[0], 0, maxScoreAt[0], 0, tagSize); // 初始preI=0, maxScoreAt[preI][pre] = net[0][pre]
int curI = 0;
for (int i = 1; i < size; ++i)
{
curI = i & 1;
int preI = 1 - curI;
for (int now = 0; now < tagSize; ++now)
{
double maxScore = -1e10;
for (int pre = 0; pre < tagSize; ++pre)
{
double score = maxScoreAt[preI][pre] + matrix[pre][now] + net[i][now];
if (score > maxScore)
{
maxScore = score;
from[i][now] = pre;
maxScoreAt[curI][now] = maxScore;
}
}
net[i][now] = maxScore;
}
}
// 反向回溯最佳路径
double maxScore = -1e10;
int maxTag = 0;
for (int tag = 0; tag < tagSize; ++tag)
{
if (maxScoreAt[curI][tag] > maxScore)
{
maxScore = maxScoreAt[curI][tag];
maxTag = tag;
}
}
table.setLast(size - 1, id2tag[maxTag]);
maxTag = from[size - 1][maxTag];
for (int i = size - 2; i > 0; --i)
{
table.setLast(i, id2tag[maxTag]);
maxTag = from[i][maxTag];
}
table.setLast(0, id2tag[maxTag]);
}
|
java
|
public void tag(Table table)
{
int size = table.size();
if (size == 0) return;
int tagSize = id2tag.length;
double[][] net = new double[size][tagSize];
for (int i = 0; i < size; ++i)
{
LinkedList<double[]> scoreList = computeScoreList(table, i);
for (int tag = 0; tag < tagSize; ++tag)
{
net[i][tag] = computeScore(scoreList, tag);
}
}
if (size == 1)
{
double maxScore = -1e10;
int bestTag = 0;
for (int tag = 0; tag < net[0].length; ++tag)
{
if (net[0][tag] > maxScore)
{
maxScore = net[0][tag];
bestTag = tag;
}
}
table.setLast(0, id2tag[bestTag]);
return;
}
int[][] from = new int[size][tagSize];
double[][] maxScoreAt = new double[2][tagSize]; // 滚动数组
System.arraycopy(net[0], 0, maxScoreAt[0], 0, tagSize); // 初始preI=0, maxScoreAt[preI][pre] = net[0][pre]
int curI = 0;
for (int i = 1; i < size; ++i)
{
curI = i & 1;
int preI = 1 - curI;
for (int now = 0; now < tagSize; ++now)
{
double maxScore = -1e10;
for (int pre = 0; pre < tagSize; ++pre)
{
double score = maxScoreAt[preI][pre] + matrix[pre][now] + net[i][now];
if (score > maxScore)
{
maxScore = score;
from[i][now] = pre;
maxScoreAt[curI][now] = maxScore;
}
}
net[i][now] = maxScore;
}
}
// 反向回溯最佳路径
double maxScore = -1e10;
int maxTag = 0;
for (int tag = 0; tag < tagSize; ++tag)
{
if (maxScoreAt[curI][tag] > maxScore)
{
maxScore = maxScoreAt[curI][tag];
maxTag = tag;
}
}
table.setLast(size - 1, id2tag[maxTag]);
maxTag = from[size - 1][maxTag];
for (int i = size - 2; i > 0; --i)
{
table.setLast(i, id2tag[maxTag]);
maxTag = from[i][maxTag];
}
table.setLast(0, id2tag[maxTag]);
}
|
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] |
维特比后向算法标注
@param table
|
[
"维特比后向算法标注"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/crf/CRFModel.java#L194-L269
|
train
|
Tag a table.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/tokenizer/lexical/AbstractLexicalAnalyzer.java
|
AbstractLexicalAnalyzer.combineWords
|
private static void combineWords(String[] wordNet, int start, int end, CoreDictionary.Attribute[] attributeArray, CoreDictionary.Attribute value)
{
if (start + 1 != end) // 小优化,如果只有一个词,那就不需要合并,直接应用新属性
{
StringBuilder sbTerm = new StringBuilder();
for (int j = start; j < end; ++j)
{
if (wordNet[j] == null) continue;
sbTerm.append(wordNet[j]);
wordNet[j] = null;
}
wordNet[start] = sbTerm.toString();
}
attributeArray[start] = value;
}
|
java
|
private static void combineWords(String[] wordNet, int start, int end, CoreDictionary.Attribute[] attributeArray, CoreDictionary.Attribute value)
{
if (start + 1 != end) // 小优化,如果只有一个词,那就不需要合并,直接应用新属性
{
StringBuilder sbTerm = new StringBuilder();
for (int j = start; j < end; ++j)
{
if (wordNet[j] == null) continue;
sbTerm.append(wordNet[j]);
wordNet[j] = null;
}
wordNet[start] = sbTerm.toString();
}
attributeArray[start] = value;
}
|
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将连续的词语合并为一个
@param wordNet 词图
@param start 起始下标(包含)
@param end 结束下标(不包含)
@param value 新的属性
|
[
"将连续的词语合并为一个"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/tokenizer/lexical/AbstractLexicalAnalyzer.java#L710-L724
|
train
|
Combine words.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlFunctionUtils.java
|
SqlFunctionUtils.rpad
|
public static String rpad(String base, int len, String pad) {
if (len < 0 || "".equals(pad)) {
return null;
} else if (len == 0) {
return "";
}
char[] data = new char[len];
char[] baseChars = base.toCharArray();
char[] padChars = pad.toCharArray();
int pos = 0;
// copy the base
while (pos < base.length() && pos < len) {
data[pos] = baseChars[pos];
pos += 1;
}
// copy the padding
while (pos < len) {
int i = 0;
while (i < pad.length() && i < len - pos) {
data[pos + i] = padChars[i];
i += 1;
}
pos += pad.length();
}
return new String(data);
}
|
java
|
public static String rpad(String base, int len, String pad) {
if (len < 0 || "".equals(pad)) {
return null;
} else if (len == 0) {
return "";
}
char[] data = new char[len];
char[] baseChars = base.toCharArray();
char[] padChars = pad.toCharArray();
int pos = 0;
// copy the base
while (pos < base.length() && pos < len) {
data[pos] = baseChars[pos];
pos += 1;
}
// copy the padding
while (pos < len) {
int i = 0;
while (i < pad.length() && i < len - pos) {
data[pos + i] = padChars[i];
i += 1;
}
pos += pad.length();
}
return new String(data);
}
|
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] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.listFileNames
|
public static List<String> listFileNames(String path) throws IORuntimeException {
if (path == null) {
return null;
}
List<String> paths = new ArrayList<String>();
int index = path.lastIndexOf(FileUtil.JAR_PATH_EXT);
if (index == -1) {
// 普通目录路径
File[] files = ls(path);
for (File file : files) {
if (file.isFile()) {
paths.add(file.getName());
}
}
} else {
// jar文件
path = getAbsolutePath(path);
if (false == StrUtil.endWith(path, UNIX_SEPARATOR)) {
path = path + UNIX_SEPARATOR;
}
// jar文件中的路径
index = index + FileUtil.JAR_FILE_EXT.length();
JarFile jarFile = null;
try {
jarFile = new JarFile(path.substring(0, index));
final String subPath = path.substring(index + 2);
for (JarEntry entry : Collections.list(jarFile.entries())) {
final String name = entry.getName();
if (name.startsWith(subPath)) {
final String nameSuffix = StrUtil.removePrefix(name, subPath);
if (false == StrUtil.contains(nameSuffix, UNIX_SEPARATOR)) {
paths.add(nameSuffix);
}
}
}
} catch (IOException e) {
throw new IORuntimeException(StrUtil.format("Can not read file path of [{}]", path), e);
} finally {
IoUtil.close(jarFile);
}
}
return paths;
}
|
java
|
public static List<String> listFileNames(String path) throws IORuntimeException {
if (path == null) {
return null;
}
List<String> paths = new ArrayList<String>();
int index = path.lastIndexOf(FileUtil.JAR_PATH_EXT);
if (index == -1) {
// 普通目录路径
File[] files = ls(path);
for (File file : files) {
if (file.isFile()) {
paths.add(file.getName());
}
}
} else {
// jar文件
path = getAbsolutePath(path);
if (false == StrUtil.endWith(path, UNIX_SEPARATOR)) {
path = path + UNIX_SEPARATOR;
}
// jar文件中的路径
index = index + FileUtil.JAR_FILE_EXT.length();
JarFile jarFile = null;
try {
jarFile = new JarFile(path.substring(0, index));
final String subPath = path.substring(index + 2);
for (JarEntry entry : Collections.list(jarFile.entries())) {
final String name = entry.getName();
if (name.startsWith(subPath)) {
final String nameSuffix = StrUtil.removePrefix(name, subPath);
if (false == StrUtil.contains(nameSuffix, UNIX_SEPARATOR)) {
paths.add(nameSuffix);
}
}
}
} catch (IOException e) {
throw new IORuntimeException(StrUtil.format("Can not read file path of [{}]", path), e);
} finally {
IoUtil.close(jarFile);
}
}
return paths;
}
|
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] |
获得指定目录下所有文件<br>
不会扫描子目录
@param path 相对ClassPath的目录或者绝对路径目录
@return 文件路径列表(如果是jar中的文件,则给定类似.jar!/xxx/xxx的路径)
@throws IORuntimeException IO异常
|
[
"获得指定目录下所有文件<br",
">",
"不会扫描子目录"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L252-L295
|
train
|
Returns a list of file names from the specified path.
|
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netty/netty
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codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java
|
HttpUtil.getContentLength
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public static long getContentLength(HttpMessage message, long defaultValue) {
String value = message.headers().get(HttpHeaderNames.CONTENT_LENGTH);
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// We know the content length if it's a Web Socket message even if
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long webSocketContentLength = getWebSocketContentLength(message);
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return defaultValue;
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|
java
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public static long getContentLength(HttpMessage message, long defaultValue) {
String value = message.headers().get(HttpHeaderNames.CONTENT_LENGTH);
if (value != null) {
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// We know the content length if it's a Web Socket message even if
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long webSocketContentLength = getWebSocketContentLength(message);
if (webSocketContentLength >= 0) {
return webSocketContentLength;
}
// Otherwise we don't.
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}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java#L171-L186
|
train
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Gets the content length of the message.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java
|
ScatterGatherIteration.createResultSimpleVertex
|
private DataSet<Vertex<K, VV>> createResultSimpleVertex(EdgeDirection messagingDirection,
TypeInformation<Tuple2<K, Message>> messageTypeInfo, DataSet<LongValue> numberOfVertices) {
DataSet<Tuple2<K, Message>> messages;
TypeInformation<Vertex<K, VV>> vertexTypes = initialVertices.getType();
final DeltaIteration<Vertex<K, VV>, Vertex<K, VV>> iteration =
initialVertices.iterateDelta(initialVertices, this.maximumNumberOfIterations, 0);
setUpIteration(iteration);
switch (messagingDirection) {
case IN:
messages = buildScatterFunction(iteration, messageTypeInfo, 1, 0, numberOfVertices);
break;
case OUT:
messages = buildScatterFunction(iteration, messageTypeInfo, 0, 0, numberOfVertices);
break;
case ALL:
messages = buildScatterFunction(iteration, messageTypeInfo, 1, 0, numberOfVertices)
.union(buildScatterFunction(iteration, messageTypeInfo, 0, 0, numberOfVertices));
break;
default:
throw new IllegalArgumentException("Illegal edge direction");
}
GatherUdf<K, VV, Message> updateUdf = new GatherUdfSimpleVV<>(gatherFunction, vertexTypes);
// build the update function (co group)
CoGroupOperator<?, ?, Vertex<K, VV>> updates =
messages.coGroup(iteration.getSolutionSet()).where(0).equalTo(0).with(updateUdf);
if (this.configuration != null && this.configuration.isOptNumVertices()) {
updates = updates.withBroadcastSet(numberOfVertices, "number of vertices");
}
configureUpdateFunction(updates);
return iteration.closeWith(updates, updates);
}
|
java
|
private DataSet<Vertex<K, VV>> createResultSimpleVertex(EdgeDirection messagingDirection,
TypeInformation<Tuple2<K, Message>> messageTypeInfo, DataSet<LongValue> numberOfVertices) {
DataSet<Tuple2<K, Message>> messages;
TypeInformation<Vertex<K, VV>> vertexTypes = initialVertices.getType();
final DeltaIteration<Vertex<K, VV>, Vertex<K, VV>> iteration =
initialVertices.iterateDelta(initialVertices, this.maximumNumberOfIterations, 0);
setUpIteration(iteration);
switch (messagingDirection) {
case IN:
messages = buildScatterFunction(iteration, messageTypeInfo, 1, 0, numberOfVertices);
break;
case OUT:
messages = buildScatterFunction(iteration, messageTypeInfo, 0, 0, numberOfVertices);
break;
case ALL:
messages = buildScatterFunction(iteration, messageTypeInfo, 1, 0, numberOfVertices)
.union(buildScatterFunction(iteration, messageTypeInfo, 0, 0, numberOfVertices));
break;
default:
throw new IllegalArgumentException("Illegal edge direction");
}
GatherUdf<K, VV, Message> updateUdf = new GatherUdfSimpleVV<>(gatherFunction, vertexTypes);
// build the update function (co group)
CoGroupOperator<?, ?, Vertex<K, VV>> updates =
messages.coGroup(iteration.getSolutionSet()).where(0).equalTo(0).with(updateUdf);
if (this.configuration != null && this.configuration.isOptNumVertices()) {
updates = updates.withBroadcastSet(numberOfVertices, "number of vertices");
}
configureUpdateFunction(updates);
return iteration.closeWith(updates, updates);
}
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java#L559-L598
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train
|
Create a result vertex using the given parameters.
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/dartsclone/DoubleArray.java
|
DoubleArray.save
|
public void save(OutputStream stream) throws IOException
{
DataOutputStream out = null;
try
{
out = new DataOutputStream(new BufferedOutputStream(
stream));
for (int i = 0; i < _array.length; ++i)
{
out.writeInt(_array[i]);
}
}
finally
{
if (out != null)
{
out.close();
}
}
}
|
java
|
public void save(OutputStream stream) throws IOException
{
DataOutputStream out = null;
try
{
out = new DataOutputStream(new BufferedOutputStream(
stream));
for (int i = 0; i < _array.length; ++i)
{
out.writeInt(_array[i]);
}
}
finally
{
if (out != null)
{
out.close();
}
}
}
|
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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/dartsclone/DoubleArray.java#L91-L110
|
train
|
Saves the array to the specified output stream.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/text/StrBuilder.java
|
StrBuilder.del
|
public StrBuilder del(int start, int end) {
if (start < 0) {
start = 0;
}
if (end > this.position) {
end = this.position;
}
if (start > end) {
throw new StringIndexOutOfBoundsException("Start is greater than End.");
}
if (end == this.position) {
this.position = start;
}
int len = end - start;
if (len > 0) {
System.arraycopy(value, start + len, value, start, this.position - end);
this.position -= len;
}
return this;
}
|
java
|
public StrBuilder del(int start, int end) {
if (start < 0) {
start = 0;
}
if (end > this.position) {
end = this.position;
}
if (start > end) {
throw new StringIndexOutOfBoundsException("Start is greater than End.");
}
if (end == this.position) {
this.position = start;
}
int len = end - start;
if (len > 0) {
System.arraycopy(value, start + len, value, start, this.position - end);
this.position -= len;
}
return this;
}
|
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删除指定长度的字符
@param start 开始位置(包括)
@param end 结束位置(不包括)
@return this
|
[
"删除指定长度的字符"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/text/StrBuilder.java#L377-L397
|
train
|
Deletes the characters from the builder starting from the specified position.
|
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getBeInt16
|
public final int getBeInt16(final int pos) {
final int position = origin + pos;
if (pos + 1 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 1)));
byte[] buf = buffer;
return (0xff & buf[position + 1]) | ((buf[position]) << 8);
}
|
java
|
public final int getBeInt16(final int pos) {
final int position = origin + pos;
if (pos + 1 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 1)));
byte[] buf = buffer;
return (0xff & buf[position + 1]) | ((buf[position]) << 8);
}
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Return 16-bit signed int from buffer. (big-endian)
@see mysql-5.6.10/include/myisampack.h - mi_sint2korr
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8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L301-L309
|
train
|
Gets a 16 - bit integer from the buffer.
|
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] |
netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/CookieDecoder.java
|
CookieDecoder.doDecode
|
private Set<Cookie> doDecode(String header) {
List<String> names = new ArrayList<String>(8);
List<String> values = new ArrayList<String>(8);
extractKeyValuePairs(header, names, values);
if (names.isEmpty()) {
return Collections.emptySet();
}
int i;
int version = 0;
// $Version is the only attribute that can appear before the actual
// cookie name-value pair.
if (names.get(0).equalsIgnoreCase(VERSION)) {
try {
version = Integer.parseInt(values.get(0));
} catch (NumberFormatException e) {
// Ignore.
}
i = 1;
} else {
i = 0;
}
if (names.size() <= i) {
// There's a version attribute, but nothing more.
return Collections.emptySet();
}
Set<Cookie> cookies = new TreeSet<Cookie>();
for (; i < names.size(); i ++) {
String name = names.get(i);
String value = values.get(i);
if (value == null) {
value = "";
}
Cookie c = initCookie(name, value);
if (c == null) {
break;
}
boolean discard = false;
boolean secure = false;
boolean httpOnly = false;
String comment = null;
String commentURL = null;
String domain = null;
String path = null;
long maxAge = Long.MIN_VALUE;
List<Integer> ports = new ArrayList<Integer>(2);
for (int j = i + 1; j < names.size(); j++, i++) {
name = names.get(j);
value = values.get(j);
if (DISCARD.equalsIgnoreCase(name)) {
discard = true;
} else if (CookieHeaderNames.SECURE.equalsIgnoreCase(name)) {
secure = true;
} else if (CookieHeaderNames.HTTPONLY.equalsIgnoreCase(name)) {
httpOnly = true;
} else if (COMMENT.equalsIgnoreCase(name)) {
comment = value;
} else if (COMMENTURL.equalsIgnoreCase(name)) {
commentURL = value;
} else if (CookieHeaderNames.DOMAIN.equalsIgnoreCase(name)) {
domain = value;
} else if (CookieHeaderNames.PATH.equalsIgnoreCase(name)) {
path = value;
} else if (CookieHeaderNames.EXPIRES.equalsIgnoreCase(name)) {
Date date = DateFormatter.parseHttpDate(value);
if (date != null) {
long maxAgeMillis = date.getTime() - System.currentTimeMillis();
maxAge = maxAgeMillis / 1000 + (maxAgeMillis % 1000 != 0? 1 : 0);
}
} else if (CookieHeaderNames.MAX_AGE.equalsIgnoreCase(name)) {
maxAge = Integer.parseInt(value);
} else if (VERSION.equalsIgnoreCase(name)) {
version = Integer.parseInt(value);
} else if (PORT.equalsIgnoreCase(name)) {
String[] portList = value.split(",");
for (String s1: portList) {
try {
ports.add(Integer.valueOf(s1));
} catch (NumberFormatException e) {
// Ignore.
}
}
} else {
break;
}
}
c.setVersion(version);
c.setMaxAge(maxAge);
c.setPath(path);
c.setDomain(domain);
c.setSecure(secure);
c.setHttpOnly(httpOnly);
if (version > 0) {
c.setComment(comment);
}
if (version > 1) {
c.setCommentUrl(commentURL);
c.setPorts(ports);
c.setDiscard(discard);
}
cookies.add(c);
}
return cookies;
}
|
java
|
private Set<Cookie> doDecode(String header) {
List<String> names = new ArrayList<String>(8);
List<String> values = new ArrayList<String>(8);
extractKeyValuePairs(header, names, values);
if (names.isEmpty()) {
return Collections.emptySet();
}
int i;
int version = 0;
// $Version is the only attribute that can appear before the actual
// cookie name-value pair.
if (names.get(0).equalsIgnoreCase(VERSION)) {
try {
version = Integer.parseInt(values.get(0));
} catch (NumberFormatException e) {
// Ignore.
}
i = 1;
} else {
i = 0;
}
if (names.size() <= i) {
// There's a version attribute, but nothing more.
return Collections.emptySet();
}
Set<Cookie> cookies = new TreeSet<Cookie>();
for (; i < names.size(); i ++) {
String name = names.get(i);
String value = values.get(i);
if (value == null) {
value = "";
}
Cookie c = initCookie(name, value);
if (c == null) {
break;
}
boolean discard = false;
boolean secure = false;
boolean httpOnly = false;
String comment = null;
String commentURL = null;
String domain = null;
String path = null;
long maxAge = Long.MIN_VALUE;
List<Integer> ports = new ArrayList<Integer>(2);
for (int j = i + 1; j < names.size(); j++, i++) {
name = names.get(j);
value = values.get(j);
if (DISCARD.equalsIgnoreCase(name)) {
discard = true;
} else if (CookieHeaderNames.SECURE.equalsIgnoreCase(name)) {
secure = true;
} else if (CookieHeaderNames.HTTPONLY.equalsIgnoreCase(name)) {
httpOnly = true;
} else if (COMMENT.equalsIgnoreCase(name)) {
comment = value;
} else if (COMMENTURL.equalsIgnoreCase(name)) {
commentURL = value;
} else if (CookieHeaderNames.DOMAIN.equalsIgnoreCase(name)) {
domain = value;
} else if (CookieHeaderNames.PATH.equalsIgnoreCase(name)) {
path = value;
} else if (CookieHeaderNames.EXPIRES.equalsIgnoreCase(name)) {
Date date = DateFormatter.parseHttpDate(value);
if (date != null) {
long maxAgeMillis = date.getTime() - System.currentTimeMillis();
maxAge = maxAgeMillis / 1000 + (maxAgeMillis % 1000 != 0? 1 : 0);
}
} else if (CookieHeaderNames.MAX_AGE.equalsIgnoreCase(name)) {
maxAge = Integer.parseInt(value);
} else if (VERSION.equalsIgnoreCase(name)) {
version = Integer.parseInt(value);
} else if (PORT.equalsIgnoreCase(name)) {
String[] portList = value.split(",");
for (String s1: portList) {
try {
ports.add(Integer.valueOf(s1));
} catch (NumberFormatException e) {
// Ignore.
}
}
} else {
break;
}
}
c.setVersion(version);
c.setMaxAge(maxAge);
c.setPath(path);
c.setDomain(domain);
c.setSecure(secure);
c.setHttpOnly(httpOnly);
if (version > 0) {
c.setComment(comment);
}
if (version > 1) {
c.setCommentUrl(commentURL);
c.setPorts(ports);
c.setDiscard(discard);
}
cookies.add(c);
}
return cookies;
}
|
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Decodes the specified HTTP header value into {@link Cookie}s.
@return the decoded {@link Cookie}s
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/CookieDecoder.java#L84-L199
|
train
|
Decodes a HTTP response header into a set of cookies.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java
|
BeanUtil.mapToBean
|
public static <T> T mapToBean(Map<?, ?> map, Class<T> beanClass, CopyOptions copyOptions) {
return fillBeanWithMap(map, ReflectUtil.newInstance(beanClass), copyOptions);
}
|
java
|
public static <T> T mapToBean(Map<?, ?> map, Class<T> beanClass, CopyOptions copyOptions) {
return fillBeanWithMap(map, ReflectUtil.newInstance(beanClass), copyOptions);
}
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Map转换为Bean对象
@param <T> Bean类型
@param map {@link Map}
@param beanClass Bean Class
@param copyOptions 转Bean选项
@return Bean
|
[
"Map转换为Bean对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java#L354-L356
|
train
|
Creates a new instance of the specified bean class from the given map.
|
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networknt/light-4j
|
utility/src/main/java/com/networknt/utility/NetUtils.java
|
NetUtils.getHostName
|
public static String getHostName(SocketAddress socketAddress) {
if (socketAddress == null) {
return null;
}
if (socketAddress instanceof InetSocketAddress) {
InetAddress addr = ((InetSocketAddress) socketAddress).getAddress();
if(addr != null){
return addr.getHostAddress();
}
}
return null;
}
|
java
|
public static String getHostName(SocketAddress socketAddress) {
if (socketAddress == null) {
return null;
}
if (socketAddress instanceof InetSocketAddress) {
InetAddress addr = ((InetSocketAddress) socketAddress).getAddress();
if(addr != null){
return addr.getHostAddress();
}
}
return null;
}
|
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return ip to avoid lookup dns
|
[
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/utility/src/main/java/com/networknt/utility/NetUtils.java#L174-L187
|
train
|
Get the hostname of the socket address.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ZipUtil.java
|
ZipUtil.zip
|
public static File zip(File zipFile, Charset charset, boolean withSrcDir, File... srcFiles) throws UtilException {
validateFiles(zipFile, srcFiles);
try (ZipOutputStream out = getZipOutputStream(zipFile, charset)) {
String srcRootDir;
for (File srcFile : srcFiles) {
if(null == srcFile) {
continue;
}
// 如果只是压缩一个文件,则需要截取该文件的父目录
srcRootDir = srcFile.getCanonicalPath();
if (srcFile.isFile() || withSrcDir) {
//若是文件,则将父目录完整路径都截取掉;若设置包含目录,则将上级目录全部截取掉,保留本目录名
srcRootDir = srcFile.getCanonicalFile().getParentFile().getCanonicalPath();
}
// 调用递归压缩方法进行目录或文件压缩
zip(srcFile, srcRootDir, out);
out.flush();
}
} catch (IOException e) {
throw new UtilException(e);
}
return zipFile;
}
|
java
|
public static File zip(File zipFile, Charset charset, boolean withSrcDir, File... srcFiles) throws UtilException {
validateFiles(zipFile, srcFiles);
try (ZipOutputStream out = getZipOutputStream(zipFile, charset)) {
String srcRootDir;
for (File srcFile : srcFiles) {
if(null == srcFile) {
continue;
}
// 如果只是压缩一个文件,则需要截取该文件的父目录
srcRootDir = srcFile.getCanonicalPath();
if (srcFile.isFile() || withSrcDir) {
//若是文件,则将父目录完整路径都截取掉;若设置包含目录,则将上级目录全部截取掉,保留本目录名
srcRootDir = srcFile.getCanonicalFile().getParentFile().getCanonicalPath();
}
// 调用递归压缩方法进行目录或文件压缩
zip(srcFile, srcRootDir, out);
out.flush();
}
} catch (IOException e) {
throw new UtilException(e);
}
return zipFile;
}
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对文件或文件目录进行压缩
@param zipFile 生成的Zip文件,包括文件名。注意:zipPath不能是srcPath路径下的子文件夹
@param charset 编码
@param withSrcDir 是否包含被打包目录,只针对压缩目录有效。若为false,则只压缩目录下的文件或目录,为true则将本目录也压缩
@param srcFiles 要压缩的源文件或目录。如果压缩一个文件,则为该文件的全路径;如果压缩一个目录,则为该目录的顶层目录路径
@return 压缩文件
@throws UtilException IO异常
|
[
"对文件或文件目录进行压缩"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ZipUtil.java#L156-L179
|
train
|
Creates a zip file from the specified files.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/RemoteInputChannel.java
|
RemoteInputChannel.retriggerSubpartitionRequest
|
void retriggerSubpartitionRequest(int subpartitionIndex) throws IOException, InterruptedException {
checkState(partitionRequestClient != null, "Missing initial subpartition request.");
if (increaseBackoff()) {
partitionRequestClient.requestSubpartition(
partitionId, subpartitionIndex, this, getCurrentBackoff());
} else {
failPartitionRequest();
}
}
|
java
|
void retriggerSubpartitionRequest(int subpartitionIndex) throws IOException, InterruptedException {
checkState(partitionRequestClient != null, "Missing initial subpartition request.");
if (increaseBackoff()) {
partitionRequestClient.requestSubpartition(
partitionId, subpartitionIndex, this, getCurrentBackoff());
} else {
failPartitionRequest();
}
}
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|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/RemoteInputChannel.java#L174-L183
|
train
|
Retrigger a subpartition request.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/io/SplitDataProperties.java
|
SplitDataProperties.splitsGroupedBy
|
public SplitDataProperties<T> splitsGroupedBy(int... groupFields) {
if (groupFields == null) {
throw new InvalidProgramException("GroupFields may not be null.");
} else if (groupFields.length == 0) {
throw new InvalidProgramException("GroupFields may not be empty.");
}
if (this.splitOrdering != null) {
throw new InvalidProgramException("DataSource may either be grouped or sorted.");
}
this.splitGroupKeys = getAllFlatKeys(groupFields);
return this;
}
|
java
|
public SplitDataProperties<T> splitsGroupedBy(int... groupFields) {
if (groupFields == null) {
throw new InvalidProgramException("GroupFields may not be null.");
} else if (groupFields.length == 0) {
throw new InvalidProgramException("GroupFields may not be empty.");
}
if (this.splitOrdering != null) {
throw new InvalidProgramException("DataSource may either be grouped or sorted.");
}
this.splitGroupKeys = getAllFlatKeys(groupFields);
return this;
}
|
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Defines that the data within an input split is grouped on the fields defined by the field positions.
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<p><b>
IMPORTANT: Providing wrong information with SplitDataProperties can cause wrong results!
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@param groupFields The field positions of the grouping keys.
@return This SplitDataProperties object.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/io/SplitDataProperties.java#L200-L215
|
train
|
Sets the group by fields of the data source.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java
|
ClassUtil.getPublicMethods
|
public static List<Method> getPublicMethods(Class<?> clazz, String... excludeMethodNames) {
return getPublicMethods(clazz, excludeMethodNames);
}
|
java
|
public static List<Method> getPublicMethods(Class<?> clazz, String... excludeMethodNames) {
return getPublicMethods(clazz, excludeMethodNames);
}
|
[
"public",
"static",
"List",
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"<",
"?",
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"excludeMethodNames",
")",
"{",
"return",
"getPublicMethods",
"(",
"clazz",
",",
"excludeMethodNames",
")",
";",
"}"
] |
获得指定类过滤后的Public方法列表
@param clazz 查找方法的类
@param excludeMethodNames 不包括的方法名列表
@return 过滤后的方法列表
|
[
"获得指定类过滤后的Public方法列表"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java#L281-L283
|
train
|
Returns a list of public methods of the given class including those with the given names.
|
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flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java
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TaskSlotTable.isAllocated
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public boolean isAllocated(int index, JobID jobId, AllocationID allocationId) {
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java
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public boolean isAllocated(int index, JobID jobId, AllocationID allocationId) {
TaskSlot taskSlot = taskSlots.get(index);
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.sub
|
public static Object[] sub(Object array, int start, int end, int step) {
int length = length(array);
if (start < 0) {
start += length;
}
if (end < 0) {
end += length;
}
if (start == length) {
return new Object[0];
}
if (start > end) {
int tmp = start;
start = end;
end = tmp;
}
if (end > length) {
if (start >= length) {
return new Object[0];
}
end = length;
}
if (step <= 1) {
step = 1;
}
final ArrayList<Object> list = new ArrayList<>();
for (int i = start; i < end; i += step) {
list.add(get(array, i));
}
return list.toArray();
}
|
java
|
public static Object[] sub(Object array, int start, int end, int step) {
int length = length(array);
if (start < 0) {
start += length;
}
if (end < 0) {
end += length;
}
if (start == length) {
return new Object[0];
}
if (start > end) {
int tmp = start;
start = end;
end = tmp;
}
if (end > length) {
if (start >= length) {
return new Object[0];
}
end = length;
}
if (step <= 1) {
step = 1;
}
final ArrayList<Object> list = new ArrayList<>();
for (int i = start; i < end; i += step) {
list.add(get(array, i));
}
return list.toArray();
}
|
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] |
获取子数组
@param array 数组
@param start 开始位置(包括)
@param end 结束位置(不包括)
@param step 步进
@return 新的数组
@since 4.0.6
|
[
"获取子数组"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L2184-L2217
|
train
|
Returns an array of objects that are sub - elements of the specified array.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/webservice/SoapClient.java
|
SoapClient.sendForMessage
|
public SOAPMessage sendForMessage() {
final HttpResponse res = sendForResponse();
final MimeHeaders headers = new MimeHeaders();
for (Entry<String, List<String>> entry : res.headers().entrySet()) {
if(StrUtil.isNotEmpty(entry.getKey())) {
headers.setHeader(entry.getKey(), CollUtil.get(entry.getValue(), 0));
}
}
try {
return this.factory.createMessage(headers, res.bodyStream());
} catch (IOException | SOAPException e) {
throw new SoapRuntimeException(e);
}
}
|
java
|
public SOAPMessage sendForMessage() {
final HttpResponse res = sendForResponse();
final MimeHeaders headers = new MimeHeaders();
for (Entry<String, List<String>> entry : res.headers().entrySet()) {
if(StrUtil.isNotEmpty(entry.getKey())) {
headers.setHeader(entry.getKey(), CollUtil.get(entry.getValue(), 0));
}
}
try {
return this.factory.createMessage(headers, res.bodyStream());
} catch (IOException | SOAPException e) {
throw new SoapRuntimeException(e);
}
}
|
[
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执行Webservice请求,既发送SOAP内容
@return 返回结果
|
[
"执行Webservice请求,既发送SOAP内容"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/webservice/SoapClient.java#L397-L410
|
train
|
Sends a SOAP message to the server.
|
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alibaba/canal
|
client-adapter/rdb/src/main/java/com/alibaba/otter/canal/client/adapter/rdb/service/RdbMirrorDbSyncService.java
|
RdbMirrorDbSyncService.executeDdl
|
private void executeDdl(MirrorDbConfig mirrorDbConfig, Dml ddl) {
try (Connection conn = dataSource.getConnection(); Statement statement = conn.createStatement()) {
statement.execute(ddl.getSql());
// 移除对应配置
mirrorDbConfig.getTableConfig().remove(ddl.getTable());
if (logger.isTraceEnabled()) {
logger.trace("Execute DDL sql: {} for database: {}", ddl.getSql(), ddl.getDatabase());
}
} catch (Exception e) {
throw new RuntimeException(e);
}
}
|
java
|
private void executeDdl(MirrorDbConfig mirrorDbConfig, Dml ddl) {
try (Connection conn = dataSource.getConnection(); Statement statement = conn.createStatement()) {
statement.execute(ddl.getSql());
// 移除对应配置
mirrorDbConfig.getTableConfig().remove(ddl.getTable());
if (logger.isTraceEnabled()) {
logger.trace("Execute DDL sql: {} for database: {}", ddl.getSql(), ddl.getDatabase());
}
} catch (Exception e) {
throw new RuntimeException(e);
}
}
|
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DDL 操作
@param ddl DDL
|
[
"DDL",
"操作"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/rdb/src/main/java/com/alibaba/otter/canal/client/adapter/rdb/service/RdbMirrorDbSyncService.java#L153-L164
|
train
|
Execute DDL.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/command/init/InitializrService.java
|
InitializrService.executeInitializrMetadataRetrieval
|
private CloseableHttpResponse executeInitializrMetadataRetrieval(String url) {
HttpGet request = new HttpGet(url);
request.setHeader(new BasicHeader(HttpHeaders.ACCEPT, ACCEPT_META_DATA));
return execute(request, url, "retrieve metadata");
}
|
java
|
private CloseableHttpResponse executeInitializrMetadataRetrieval(String url) {
HttpGet request = new HttpGet(url);
request.setHeader(new BasicHeader(HttpHeaders.ACCEPT, ACCEPT_META_DATA));
return execute(request, url, "retrieve metadata");
}
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Retrieves the meta-data of the service at the specified URL.
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/command/init/InitializrService.java#L185-L189
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train
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Executes initializr metadata retrieval.
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flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryString.java
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public BinaryString substring(final int start, final int until) {
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c += 1;
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byte[] bytes = new byte[i - j];
segment.get(offset + j, bytes, 0, i - j);
return fromBytes(bytes);
} else {
return EMPTY_UTF8;
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return substringSlow(start, until);
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java
|
MapUtil.toListMap
|
public static <K, V> Map<K, List<V>> toListMap(Iterable<? extends Map<K, V>> mapList) {
final HashMap<K, List<V>> resultMap = new HashMap<>();
if (CollectionUtil.isEmpty(mapList)) {
return resultMap;
}
Set<Entry<K, V>> entrySet;
for (Map<K, V> map : mapList) {
entrySet = map.entrySet();
K key;
List<V> valueList;
for (Entry<K, V> entry : entrySet) {
key = entry.getKey();
valueList = resultMap.get(key);
if (null == valueList) {
valueList = CollectionUtil.newArrayList(entry.getValue());
resultMap.put(key, valueList);
} else {
valueList.add(entry.getValue());
}
}
}
return resultMap;
}
|
java
|
public static <K, V> Map<K, List<V>> toListMap(Iterable<? extends Map<K, V>> mapList) {
final HashMap<K, List<V>> resultMap = new HashMap<>();
if (CollectionUtil.isEmpty(mapList)) {
return resultMap;
}
Set<Entry<K, V>> entrySet;
for (Map<K, V> map : mapList) {
entrySet = map.entrySet();
K key;
List<V> valueList;
for (Entry<K, V> entry : entrySet) {
key = entry.getKey();
valueList = resultMap.get(key);
if (null == valueList) {
valueList = CollectionUtil.newArrayList(entry.getValue());
resultMap.put(key, valueList);
} else {
valueList.add(entry.getValue());
}
}
}
return resultMap;
}
|
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行转列,合并相同的键,值合并为列表<br>
将Map列表中相同key的值组成列表做为Map的value<br>
是{@link #toMapList(Map)}的逆方法<br>
比如传入数据:
<pre>
[
{a: 1, b: 1, c: 1}
{a: 2, b: 2}
{a: 3, b: 3}
{a: 4}
]
</pre>
结果是:
<pre>
{
a: [1,2,3,4]
b: [1,2,3,]
c: [1]
}
</pre>
@param <K> 键类型
@param <V> 值类型
@param mapList Map列表
@return Map
|
[
"行转列,合并相同的键,值合并为列表<br",
">",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L290-L314
|
train
|
Creates a map from the given list of Maps.
|
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flink-core/src/main/java/org/apache/flink/configuration/Configuration.java
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Configuration.getDouble
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public double getDouble(String key, double defaultValue) {
Object o = getRawValue(key);
if (o == null) {
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return convertToDouble(o, defaultValue);
}
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java
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public double getDouble(String key, double defaultValue) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/configuration/Configuration.java#L500-L507
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Returns the double value for the given key. The defaultValue is returned if the key does not exist or if the value is not a double value.
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.remove
|
@SuppressWarnings("unchecked")
public static <T> T[] remove(T[] array, int index) throws IllegalArgumentException {
return (T[]) remove((Object) array, index);
}
|
java
|
@SuppressWarnings("unchecked")
public static <T> T[] remove(T[] array, int index) throws IllegalArgumentException {
return (T[]) remove((Object) array, index);
}
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移除数组中对应位置的元素<br>
copy from commons-lang
@param <T> 数组元素类型
@param array 数组对象,可以是对象数组,也可以原始类型数组
@param index 位置,如果位置小于0或者大于长度,返回原数组
@return 去掉指定元素后的新数组或原数组
@throws IllegalArgumentException 参数对象不为数组对象
@since 3.0.8
|
[
"移除数组中对应位置的元素<br",
">",
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"commons",
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L2647-L2650
|
train
|
Removes the element at the specified index from the array.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/dialect/DriverUtil.java
|
DriverUtil.identifyDriver
|
public static String identifyDriver(DataSource ds) {
if(ds instanceof DataSourceWrapper) {
final String driver = ((DataSourceWrapper)ds).getDriver();
if(StrUtil.isNotBlank(driver)) {
return driver;
}
}
Connection conn = null;
String driver = null;
try {
try {
conn = ds.getConnection();
} catch (SQLException e) {
throw new DbRuntimeException("Get Connection error !", e);
} catch (NullPointerException e) {
throw new DbRuntimeException("Unexpected NullPointException, maybe [jdbcUrl] or [url] is empty!", e);
}
driver = identifyDriver(conn);
} finally {
DbUtil.close(conn);
}
return driver;
}
|
java
|
public static String identifyDriver(DataSource ds) {
if(ds instanceof DataSourceWrapper) {
final String driver = ((DataSourceWrapper)ds).getDriver();
if(StrUtil.isNotBlank(driver)) {
return driver;
}
}
Connection conn = null;
String driver = null;
try {
try {
conn = ds.getConnection();
} catch (SQLException e) {
throw new DbRuntimeException("Get Connection error !", e);
} catch (NullPointerException e) {
throw new DbRuntimeException("Unexpected NullPointException, maybe [jdbcUrl] or [url] is empty!", e);
}
driver = identifyDriver(conn);
} finally {
DbUtil.close(conn);
}
return driver;
}
|
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识别JDBC驱动名
@param ds 数据源
@return 驱动
|
[
"识别JDBC驱动名"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/dialect/DriverUtil.java#L38-L62
|
train
|
Identify the JDBC driver for a DataSource.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronPOSTagger.java
|
PerceptronPOSTagger.tag
|
@Override
public String[] tag(List<String> wordList)
{
String[] termArray = new String[wordList.size()];
wordList.toArray(termArray);
return tag(termArray);
}
|
java
|
@Override
public String[] tag(List<String> wordList)
{
String[] termArray = new String[wordList.size()];
wordList.toArray(termArray);
return tag(termArray);
}
|
[
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"String",
"[",
"]",
"tag",
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"String",
">",
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")",
"{",
"String",
"[",
"]",
"termArray",
"=",
"new",
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"[",
"wordList",
".",
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")",
"]",
";",
"wordList",
".",
"toArray",
"(",
"termArray",
")",
";",
"return",
"tag",
"(",
"termArray",
")",
";",
"}"
] |
标注
@param wordList
@return
|
[
"标注"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronPOSTagger.java#L84-L90
|
train
|
Tag a list of words.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/convert/AbstractConverter.java
|
AbstractConverter.convertQuietly
|
public T convertQuietly(Object value, T defaultValue) {
try {
return convert(value, defaultValue);
} catch (Exception e) {
return defaultValue;
}
}
|
java
|
public T convertQuietly(Object value, T defaultValue) {
try {
return convert(value, defaultValue);
} catch (Exception e) {
return defaultValue;
}
}
|
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不抛异常转换<br>
当转换失败时返回默认值
@param value 被转换的值
@param defaultValue 默认值
@return 转换后的值
@since 4.5.7
|
[
"不抛异常转换<br",
">",
"当转换失败时返回默认值"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/convert/AbstractConverter.java#L28-L34
|
train
|
Converts the given value to an object using the default value if conversion is not possible.
|
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alibaba/canal
|
client-adapter/rdb/src/main/java/com/alibaba/otter/canal/client/adapter/rdb/service/RdbSyncService.java
|
RdbSyncService.sync
|
public void sync(List<Dml> dmls, Function<Dml, Boolean> function) {
try {
boolean toExecute = false;
for (Dml dml : dmls) {
if (!toExecute) {
toExecute = function.apply(dml);
} else {
function.apply(dml);
}
}
if (toExecute) {
List<Future<Boolean>> futures = new ArrayList<>();
for (int i = 0; i < threads; i++) {
int j = i;
futures.add(executorThreads[i].submit(() -> {
try {
dmlsPartition[j].forEach(syncItem -> sync(batchExecutors[j],
syncItem.config,
syncItem.singleDml));
dmlsPartition[j].clear();
batchExecutors[j].commit();
return true;
} catch (Throwable e) {
batchExecutors[j].rollback();
throw new RuntimeException(e);
}
}));
}
futures.forEach(future -> {
try {
future.get();
} catch (ExecutionException | InterruptedException e) {
throw new RuntimeException(e);
}
});
}
} finally {
for (BatchExecutor batchExecutor : batchExecutors) {
if (batchExecutor != null) {
batchExecutor.close();
}
}
}
}
|
java
|
public void sync(List<Dml> dmls, Function<Dml, Boolean> function) {
try {
boolean toExecute = false;
for (Dml dml : dmls) {
if (!toExecute) {
toExecute = function.apply(dml);
} else {
function.apply(dml);
}
}
if (toExecute) {
List<Future<Boolean>> futures = new ArrayList<>();
for (int i = 0; i < threads; i++) {
int j = i;
futures.add(executorThreads[i].submit(() -> {
try {
dmlsPartition[j].forEach(syncItem -> sync(batchExecutors[j],
syncItem.config,
syncItem.singleDml));
dmlsPartition[j].clear();
batchExecutors[j].commit();
return true;
} catch (Throwable e) {
batchExecutors[j].rollback();
throw new RuntimeException(e);
}
}));
}
futures.forEach(future -> {
try {
future.get();
} catch (ExecutionException | InterruptedException e) {
throw new RuntimeException(e);
}
});
}
} finally {
for (BatchExecutor batchExecutor : batchExecutors) {
if (batchExecutor != null) {
batchExecutor.close();
}
}
}
}
|
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批量同步回调
@param dmls 批量 DML
@param function 回调方法
|
[
"批量同步回调"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/rdb/src/main/java/com/alibaba/otter/canal/client/adapter/rdb/service/RdbSyncService.java#L94-L138
|
train
|
Synchronize the DMLs with the DMLs.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java
|
TypeExtractor.getClosestFactory
|
private static <OUT> TypeInfoFactory<? super OUT> getClosestFactory(ArrayList<Type> typeHierarchy, Type t) {
TypeInfoFactory factory = null;
while (factory == null && isClassType(t) && !(typeToClass(t).equals(Object.class))) {
typeHierarchy.add(t);
factory = getTypeInfoFactory(t);
t = typeToClass(t).getGenericSuperclass();
if (t == null) {
break;
}
}
return factory;
}
|
java
|
private static <OUT> TypeInfoFactory<? super OUT> getClosestFactory(ArrayList<Type> typeHierarchy, Type t) {
TypeInfoFactory factory = null;
while (factory == null && isClassType(t) && !(typeToClass(t).equals(Object.class))) {
typeHierarchy.add(t);
factory = getTypeInfoFactory(t);
t = typeToClass(t).getGenericSuperclass();
if (t == null) {
break;
}
}
return factory;
}
|
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Traverses the type hierarchy up until a type information factory can be found.
@param typeHierarchy hierarchy to be filled while traversing up
@param t type for which a factory needs to be found
@return closest type information factory or null if there is no factory in the type hierarchy
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[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java#L1561-L1573
|
train
|
Get the closest TypeInfoFactory for a type.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.convert
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@Deprecated
public static void convert(ImageInputStream srcStream, String formatName, ImageOutputStream destStream) {
write(read(srcStream), formatName, destStream);
}
|
java
|
@Deprecated
public static void convert(ImageInputStream srcStream, String formatName, ImageOutputStream destStream) {
write(read(srcStream), formatName, destStream);
}
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图像类型转换:GIF=》JPG、GIF=》PNG、PNG=》JPG、PNG=》GIF(X)、BMP=》PNG<br>
此方法并不关闭流
@param srcStream 源图像流
@param formatName 包含格式非正式名称的 String:如JPG、JPEG、GIF等
@param destStream 目标图像输出流
@since 3.0.9
@deprecated 请使用{@link #write(Image, String, ImageOutputStream)}
|
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L535-L538
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train
|
Convert the image from srcStream to destStream using the specified format name.
|
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/util/NumberUtil.java
|
NumberUtil.roundHalfUp
|
public static int roundHalfUp(final Object obj) {
if (obj instanceof Short) {
return (short) obj;
}
if (obj instanceof Integer) {
return (int) obj;
}
if (obj instanceof Long) {
return ((Long) obj).intValue();
}
if (obj instanceof Double) {
return new BigDecimal((double) obj).setScale(0, BigDecimal.ROUND_HALF_UP).intValue();
}
if (obj instanceof Float) {
return new BigDecimal((float) obj).setScale(0, BigDecimal.ROUND_HALF_UP).intValue();
}
if (obj instanceof String) {
return new BigDecimal((String) obj).setScale(0, BigDecimal.ROUND_HALF_UP).intValue();
}
throw new ShardingException("Invalid value to transfer: %s", obj);
}
|
java
|
public static int roundHalfUp(final Object obj) {
if (obj instanceof Short) {
return (short) obj;
}
if (obj instanceof Integer) {
return (int) obj;
}
if (obj instanceof Long) {
return ((Long) obj).intValue();
}
if (obj instanceof Double) {
return new BigDecimal((double) obj).setScale(0, BigDecimal.ROUND_HALF_UP).intValue();
}
if (obj instanceof Float) {
return new BigDecimal((float) obj).setScale(0, BigDecimal.ROUND_HALF_UP).intValue();
}
if (obj instanceof String) {
return new BigDecimal((String) obj).setScale(0, BigDecimal.ROUND_HALF_UP).intValue();
}
throw new ShardingException("Invalid value to transfer: %s", obj);
}
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@param obj object to be converted
@return rounded half up number
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
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https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/util/NumberUtil.java#L42-L62
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train
|
Round half up.
|
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30526
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alibaba/canal
|
filter/src/main/java/com/alibaba/otter/canal/filter/aviater/AviaterRegexFilter.java
|
AviaterRegexFilter.completionPattern
|
private List<String> completionPattern(List<String> patterns) {
List<String> result = new ArrayList<String>();
for (String pattern : patterns) {
StringBuffer stringBuffer = new StringBuffer();
stringBuffer.append("^");
stringBuffer.append(pattern);
stringBuffer.append("$");
result.add(stringBuffer.toString());
}
return result;
}
|
java
|
private List<String> completionPattern(List<String> patterns) {
List<String> result = new ArrayList<String>();
for (String pattern : patterns) {
StringBuffer stringBuffer = new StringBuffer();
stringBuffer.append("^");
stringBuffer.append(pattern);
stringBuffer.append("$");
result.add(stringBuffer.toString());
}
return result;
}
|
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] |
修复正则表达式匹配的问题,即使按照长度递减排序,还是会出现以下问题:
<pre>
foooo|f.*t 匹配 fooooot 出错,原因是 fooooot 匹配了 foooo 之后,会将 fooo 和数据进行匹配,但是 foooo 的长度和 fooooot 的长度不一样
</pre>
因此此类对正则表达式进行头尾完全匹配
@author simon
@version 1.0.0
|
[
"修复正则表达式匹配的问题,即使按照长度递减排序,还是会出现以下问题:"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/filter/src/main/java/com/alibaba/otter/canal/filter/aviater/AviaterRegexFilter.java#L116-L126
|
train
|
This method is used to get completion patterns.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java
|
DaoTemplate.update
|
public int update(Entity entity) throws SQLException {
if (CollectionUtil.isEmpty(entity)) {
return 0;
}
entity = fixEntity(entity);
Object pk = entity.get(primaryKeyField);
if (null == pk) {
throw new SQLException(StrUtil.format("Please determine `{}` for update", primaryKeyField));
}
final Entity where = Entity.create(tableName).set(primaryKeyField, pk);
final Entity record = (Entity) entity.clone();
record.remove(primaryKeyField);
return db.update(record, where);
}
|
java
|
public int update(Entity entity) throws SQLException {
if (CollectionUtil.isEmpty(entity)) {
return 0;
}
entity = fixEntity(entity);
Object pk = entity.get(primaryKeyField);
if (null == pk) {
throw new SQLException(StrUtil.format("Please determine `{}` for update", primaryKeyField));
}
final Entity where = Entity.create(tableName).set(primaryKeyField, pk);
final Entity record = (Entity) entity.clone();
record.remove(primaryKeyField);
return db.update(record, where);
}
|
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更新
@param entity 实体对象,必须包含主键
@return 更新行数
@throws SQLException SQL执行异常
|
[
"更新"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java#L181-L196
|
train
|
Updates the specified entity in the database.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/algorithm/MaxHeap.java
|
MaxHeap.add
|
public boolean add(E e)
{
if (queue.size() < maxSize)
{ // 未达到最大容量,直接添加
queue.add(e);
return true;
}
else
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E peek = queue.peek();
if (queue.comparator().compare(e, peek) > 0)
{ // 将新元素与当前堆顶元素比较,保留较小的元素
queue.poll();
queue.add(e);
return true;
}
}
return false;
}
|
java
|
public boolean add(E e)
{
if (queue.size() < maxSize)
{ // 未达到最大容量,直接添加
queue.add(e);
return true;
}
else
{ // 队列已满
E peek = queue.peek();
if (queue.comparator().compare(e, peek) > 0)
{ // 将新元素与当前堆顶元素比较,保留较小的元素
queue.poll();
queue.add(e);
return true;
}
}
return false;
}
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添加一个元素
@param e 元素
@return 是否添加成功
|
[
"添加一个元素"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/algorithm/MaxHeap.java#L50-L68
|
train
|
Add an element to the list of unique attributes.
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/concurrent/FutureUtils.java
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FutureUtils.handleAsyncIfNotDone
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public static <IN, OUT> CompletableFuture<OUT> handleAsyncIfNotDone(
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|
java
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public static <IN, OUT> CompletableFuture<OUT> handleAsyncIfNotDone(
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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/concurrent/FutureUtils.java#L920-L927
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train
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Handle async if the given CompletableFuture is done.
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.translateEdgeValues
|
public <NEW> Graph<K, VV, NEW> translateEdgeValues(TranslateFunction<EV, NEW> translator) throws Exception {
return run(new TranslateEdgeValues<>(translator));
}
|
java
|
public <NEW> Graph<K, VV, NEW> translateEdgeValues(TranslateFunction<EV, NEW> translator) throws Exception {
return run(new TranslateEdgeValues<>(translator));
}
|
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] |
Translate {@link Edge} values using the given {@link MapFunction}.
@param translator implements conversion from {@code EV} to {@code NEW}
@param <NEW> new edge value type
@return graph with translated edge values
@throws Exception
|
[
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"}",
"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L654-L656
|
train
|
Translate the edge values of the graph.
|
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codec-http2/src/main/java/io/netty/handler/codec/http2/InboundHttp2ToHttpAdapter.java
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InboundHttp2ToHttpAdapter.putMessage
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protected final void putMessage(Http2Stream stream, FullHttpMessage message) {
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if (previous != message && previous != null) {
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java
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protected final void putMessage(Http2Stream stream, FullHttpMessage message) {
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}
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[
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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/InboundHttp2ToHttpAdapter.java#L114-L119
|
train
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Put the message into the stream.
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apache/spark
|
examples/src/main/java/org/apache/spark/examples/ml/JavaALSExample.java
|
JavaALSExample.main
|
public static void main(String[] args) {
SparkSession spark = SparkSession
.builder()
.appName("JavaALSExample")
.getOrCreate();
// $example on$
JavaRDD<Rating> ratingsRDD = spark
.read().textFile("data/mllib/als/sample_movielens_ratings.txt").javaRDD()
.map(Rating::parseRating);
Dataset<Row> ratings = spark.createDataFrame(ratingsRDD, Rating.class);
Dataset<Row>[] splits = ratings.randomSplit(new double[]{0.8, 0.2});
Dataset<Row> training = splits[0];
Dataset<Row> test = splits[1];
// Build the recommendation model using ALS on the training data
ALS als = new ALS()
.setMaxIter(5)
.setRegParam(0.01)
.setUserCol("userId")
.setItemCol("movieId")
.setRatingCol("rating");
ALSModel model = als.fit(training);
// Evaluate the model by computing the RMSE on the test data
// Note we set cold start strategy to 'drop' to ensure we don't get NaN evaluation metrics
model.setColdStartStrategy("drop");
Dataset<Row> predictions = model.transform(test);
RegressionEvaluator evaluator = new RegressionEvaluator()
.setMetricName("rmse")
.setLabelCol("rating")
.setPredictionCol("prediction");
double rmse = evaluator.evaluate(predictions);
System.out.println("Root-mean-square error = " + rmse);
// Generate top 10 movie recommendations for each user
Dataset<Row> userRecs = model.recommendForAllUsers(10);
// Generate top 10 user recommendations for each movie
Dataset<Row> movieRecs = model.recommendForAllItems(10);
// Generate top 10 movie recommendations for a specified set of users
Dataset<Row> users = ratings.select(als.getUserCol()).distinct().limit(3);
Dataset<Row> userSubsetRecs = model.recommendForUserSubset(users, 10);
// Generate top 10 user recommendations for a specified set of movies
Dataset<Row> movies = ratings.select(als.getItemCol()).distinct().limit(3);
Dataset<Row> movieSubSetRecs = model.recommendForItemSubset(movies, 10);
// $example off$
userRecs.show();
movieRecs.show();
userSubsetRecs.show();
movieSubSetRecs.show();
spark.stop();
}
|
java
|
public static void main(String[] args) {
SparkSession spark = SparkSession
.builder()
.appName("JavaALSExample")
.getOrCreate();
// $example on$
JavaRDD<Rating> ratingsRDD = spark
.read().textFile("data/mllib/als/sample_movielens_ratings.txt").javaRDD()
.map(Rating::parseRating);
Dataset<Row> ratings = spark.createDataFrame(ratingsRDD, Rating.class);
Dataset<Row>[] splits = ratings.randomSplit(new double[]{0.8, 0.2});
Dataset<Row> training = splits[0];
Dataset<Row> test = splits[1];
// Build the recommendation model using ALS on the training data
ALS als = new ALS()
.setMaxIter(5)
.setRegParam(0.01)
.setUserCol("userId")
.setItemCol("movieId")
.setRatingCol("rating");
ALSModel model = als.fit(training);
// Evaluate the model by computing the RMSE on the test data
// Note we set cold start strategy to 'drop' to ensure we don't get NaN evaluation metrics
model.setColdStartStrategy("drop");
Dataset<Row> predictions = model.transform(test);
RegressionEvaluator evaluator = new RegressionEvaluator()
.setMetricName("rmse")
.setLabelCol("rating")
.setPredictionCol("prediction");
double rmse = evaluator.evaluate(predictions);
System.out.println("Root-mean-square error = " + rmse);
// Generate top 10 movie recommendations for each user
Dataset<Row> userRecs = model.recommendForAllUsers(10);
// Generate top 10 user recommendations for each movie
Dataset<Row> movieRecs = model.recommendForAllItems(10);
// Generate top 10 movie recommendations for a specified set of users
Dataset<Row> users = ratings.select(als.getUserCol()).distinct().limit(3);
Dataset<Row> userSubsetRecs = model.recommendForUserSubset(users, 10);
// Generate top 10 user recommendations for a specified set of movies
Dataset<Row> movies = ratings.select(als.getItemCol()).distinct().limit(3);
Dataset<Row> movieSubSetRecs = model.recommendForItemSubset(movies, 10);
// $example off$
userRecs.show();
movieRecs.show();
userSubsetRecs.show();
movieSubSetRecs.show();
spark.stop();
}
|
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$example off$
|
[
"$example",
"off$"
] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/examples/src/main/java/org/apache/spark/examples/ml/JavaALSExample.java#L81-L135
|
train
|
Example of ALS recommendation model.
|
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netty/netty
|
buffer/src/main/java/io/netty/buffer/ByteBufUtil.java
|
ByteBufUtil.readBytes
|
static void readBytes(ByteBufAllocator allocator, ByteBuffer buffer, int position, int length, OutputStream out)
throws IOException {
if (buffer.hasArray()) {
out.write(buffer.array(), position + buffer.arrayOffset(), length);
} else {
int chunkLen = Math.min(length, WRITE_CHUNK_SIZE);
buffer.clear().position(position);
if (length <= MAX_TL_ARRAY_LEN || !allocator.isDirectBufferPooled()) {
getBytes(buffer, threadLocalTempArray(chunkLen), 0, chunkLen, out, length);
} else {
// if direct buffers are pooled chances are good that heap buffers are pooled as well.
ByteBuf tmpBuf = allocator.heapBuffer(chunkLen);
try {
byte[] tmp = tmpBuf.array();
int offset = tmpBuf.arrayOffset();
getBytes(buffer, tmp, offset, chunkLen, out, length);
} finally {
tmpBuf.release();
}
}
}
}
|
java
|
static void readBytes(ByteBufAllocator allocator, ByteBuffer buffer, int position, int length, OutputStream out)
throws IOException {
if (buffer.hasArray()) {
out.write(buffer.array(), position + buffer.arrayOffset(), length);
} else {
int chunkLen = Math.min(length, WRITE_CHUNK_SIZE);
buffer.clear().position(position);
if (length <= MAX_TL_ARRAY_LEN || !allocator.isDirectBufferPooled()) {
getBytes(buffer, threadLocalTempArray(chunkLen), 0, chunkLen, out, length);
} else {
// if direct buffers are pooled chances are good that heap buffers are pooled as well.
ByteBuf tmpBuf = allocator.heapBuffer(chunkLen);
try {
byte[] tmp = tmpBuf.array();
int offset = tmpBuf.arrayOffset();
getBytes(buffer, tmp, offset, chunkLen, out, length);
} finally {
tmpBuf.release();
}
}
}
}
|
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Read bytes from the given {@link ByteBuffer} into the given {@link OutputStream} using the {@code position} and
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/ByteBufUtil.java#L1398-L1420
|
train
|
readBytes This method is used to read a byte array of bytes from a ByteBuffer.
|
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netty/netty
|
codec-dns/src/main/java/io/netty/handler/codec/dns/DatagramDnsResponseEncoder.java
|
DatagramDnsResponseEncoder.encodeHeader
|
private static void encodeHeader(DnsResponse response, ByteBuf buf) {
buf.writeShort(response.id());
int flags = 32768;
flags |= (response.opCode().byteValue() & 0xFF) << 11;
if (response.isAuthoritativeAnswer()) {
flags |= 1 << 10;
}
if (response.isTruncated()) {
flags |= 1 << 9;
}
if (response.isRecursionDesired()) {
flags |= 1 << 8;
}
if (response.isRecursionAvailable()) {
flags |= 1 << 7;
}
flags |= response.z() << 4;
flags |= response.code().intValue();
buf.writeShort(flags);
buf.writeShort(response.count(DnsSection.QUESTION));
buf.writeShort(response.count(DnsSection.ANSWER));
buf.writeShort(response.count(DnsSection.AUTHORITY));
buf.writeShort(response.count(DnsSection.ADDITIONAL));
}
|
java
|
private static void encodeHeader(DnsResponse response, ByteBuf buf) {
buf.writeShort(response.id());
int flags = 32768;
flags |= (response.opCode().byteValue() & 0xFF) << 11;
if (response.isAuthoritativeAnswer()) {
flags |= 1 << 10;
}
if (response.isTruncated()) {
flags |= 1 << 9;
}
if (response.isRecursionDesired()) {
flags |= 1 << 8;
}
if (response.isRecursionAvailable()) {
flags |= 1 << 7;
}
flags |= response.z() << 4;
flags |= response.code().intValue();
buf.writeShort(flags);
buf.writeShort(response.count(DnsSection.QUESTION));
buf.writeShort(response.count(DnsSection.ANSWER));
buf.writeShort(response.count(DnsSection.AUTHORITY));
buf.writeShort(response.count(DnsSection.ADDITIONAL));
}
|
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] |
Encodes the header that is always 12 bytes long.
@param response the response header being encoded
@param buf the buffer the encoded data should be written to
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-dns/src/main/java/io/netty/handler/codec/dns/DatagramDnsResponseEncoder.java#L97-L120
|
train
|
Encode the header of a DNS response.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/interactions/Actions.java
|
Actions.clickAndHold
|
public Actions clickAndHold() {
if (isBuildingActions()) {
action.addAction(new ClickAndHoldAction(jsonMouse, null));
}
return tick(defaultMouse.createPointerDown(LEFT.asArg()));
}
|
java
|
public Actions clickAndHold() {
if (isBuildingActions()) {
action.addAction(new ClickAndHoldAction(jsonMouse, null));
}
return tick(defaultMouse.createPointerDown(LEFT.asArg()));
}
|
[
"public",
"Actions",
"clickAndHold",
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")",
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"createPointerDown",
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"LEFT",
".",
"asArg",
"(",
")",
")",
")",
";",
"}"
] |
Clicks (without releasing) at the current mouse location.
@return A self reference.
|
[
"Clicks",
"(",
"without",
"releasing",
")",
"at",
"the",
"current",
"mouse",
"location",
"."
] |
7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/interactions/Actions.java#L244-L250
|
train
|
Click and hold.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileTypeUtil.java
|
FileTypeUtil.getType
|
public static String getType(String fileStreamHexHead) {
for (Entry<String, String> fileTypeEntry : fileTypeMap.entrySet()) {
if(StrUtil.startWithIgnoreCase(fileStreamHexHead, fileTypeEntry.getKey())) {
return fileTypeEntry.getValue();
}
}
return null;
}
|
java
|
public static String getType(String fileStreamHexHead) {
for (Entry<String, String> fileTypeEntry : fileTypeMap.entrySet()) {
if(StrUtil.startWithIgnoreCase(fileStreamHexHead, fileTypeEntry.getKey())) {
return fileTypeEntry.getValue();
}
}
return null;
}
|
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根据文件流的头部信息获得文件类型
@param fileStreamHexHead 文件流头部16进制字符串
@return 文件类型,未找到为<code>null</code>
|
[
"根据文件流的头部信息获得文件类型"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileTypeUtil.java#L109-L116
|
train
|
Returns the type of the file stream hex head.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/ResourceManager.java
|
ResourceManager.onFatalError
|
protected void onFatalError(Throwable t) {
try {
log.error("Fatal error occurred in ResourceManager.", t);
} catch (Throwable ignored) {}
// The fatal error handler implementation should make sure that this call is non-blocking
fatalErrorHandler.onFatalError(t);
}
|
java
|
protected void onFatalError(Throwable t) {
try {
log.error("Fatal error occurred in ResourceManager.", t);
} catch (Throwable ignored) {}
// The fatal error handler implementation should make sure that this call is non-blocking
fatalErrorHandler.onFatalError(t);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/ResourceManager.java#L872-L879
|
train
|
Called when a fatal error occurs in the resource manager.
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/logging/LogFile.java
|
LogFile.get
|
public static LogFile get(PropertyResolver propertyResolver) {
String file = getLogFileProperty(propertyResolver, FILE_NAME_PROPERTY,
FILE_PROPERTY);
String path = getLogFileProperty(propertyResolver, FILE_PATH_PROPERTY,
PATH_PROPERTY);
if (StringUtils.hasLength(file) || StringUtils.hasLength(path)) {
return new LogFile(file, path);
}
return null;
}
|
java
|
public static LogFile get(PropertyResolver propertyResolver) {
String file = getLogFileProperty(propertyResolver, FILE_NAME_PROPERTY,
FILE_PROPERTY);
String path = getLogFileProperty(propertyResolver, FILE_PATH_PROPERTY,
PATH_PROPERTY);
if (StringUtils.hasLength(file) || StringUtils.hasLength(path)) {
return new LogFile(file, path);
}
return null;
}
|
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Get a {@link LogFile} from the given Spring {@link Environment}.
@param propertyResolver the {@link PropertyResolver} used to obtain the logging
properties
@return a {@link LogFile} or {@code null} if the environment didn't contain any
suitable properties
|
[
"Get",
"a",
"{"
] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/logging/LogFile.java#L131-L140
|
train
|
Get the LogFile object from the properties.
|
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networknt/light-4j
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client/src/main/java/org/apache/hc/core5/http/message/copied/TokenParser.java
|
TokenParser.copyContent
|
public void copyContent(final CharSequence buf, final ParserCursor cursor, final BitSet delimiters,
final StringBuilder dst) {
Args.notNull(buf, "Char sequence");
Args.notNull(cursor, "Parser cursor");
Args.notNull(dst, "String builder");
int pos = cursor.getPos();
final int indexFrom = cursor.getPos();
final int indexTo = cursor.getUpperBound();
for (int i = indexFrom; i < indexTo; i++) {
final char current = buf.charAt(i);
if ((delimiters != null && delimiters.get(current)) || isWhitespace(current)) {
break;
}
pos++;
dst.append(current);
}
cursor.updatePos(pos);
}
|
java
|
public void copyContent(final CharSequence buf, final ParserCursor cursor, final BitSet delimiters,
final StringBuilder dst) {
Args.notNull(buf, "Char sequence");
Args.notNull(cursor, "Parser cursor");
Args.notNull(dst, "String builder");
int pos = cursor.getPos();
final int indexFrom = cursor.getPos();
final int indexTo = cursor.getUpperBound();
for (int i = indexFrom; i < indexTo; i++) {
final char current = buf.charAt(i);
if ((delimiters != null && delimiters.get(current)) || isWhitespace(current)) {
break;
}
pos++;
dst.append(current);
}
cursor.updatePos(pos);
}
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@param delimiters set of delimiting characters. Can be {@code null} if the value
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/client/src/main/java/org/apache/hc/core5/http/message/copied/TokenParser.java#L164-L181
|
train
|
Copy content.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/document/sentence/Sentence.java
|
Sentence.toWordTagArray
|
public String[][] toWordTagArray()
{
List<Word> wordList = toSimpleWordList();
String[][] pair = new String[2][wordList.size()];
Iterator<Word> iterator = wordList.iterator();
for (int i = 0; i < pair[0].length; i++)
{
Word word = iterator.next();
pair[0][i] = word.value;
pair[1][i] = word.label;
}
return pair;
}
|
java
|
public String[][] toWordTagArray()
{
List<Word> wordList = toSimpleWordList();
String[][] pair = new String[2][wordList.size()];
Iterator<Word> iterator = wordList.iterator();
for (int i = 0; i < pair[0].length; i++)
{
Word word = iterator.next();
pair[0][i] = word.value;
pair[1][i] = word.label;
}
return pair;
}
|
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] |
word pos
@return
|
[
"word",
"pos"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/document/sentence/Sentence.java#L435-L447
|
train
|
To word tag array.
|
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30526
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/AstUtils.java
|
AstUtils.hasAtLeastOneAnnotation
|
public static boolean hasAtLeastOneAnnotation(ClassNode node, String... annotations) {
if (hasAtLeastOneAnnotation((AnnotatedNode) node, annotations)) {
return true;
}
for (MethodNode method : node.getMethods()) {
if (hasAtLeastOneAnnotation(method, annotations)) {
return true;
}
}
return false;
}
|
java
|
public static boolean hasAtLeastOneAnnotation(ClassNode node, String... annotations) {
if (hasAtLeastOneAnnotation((AnnotatedNode) node, annotations)) {
return true;
}
for (MethodNode method : node.getMethods()) {
if (hasAtLeastOneAnnotation(method, annotations)) {
return true;
}
}
return false;
}
|
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Determine if a {@link ClassNode} has one or more of the specified annotations on
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qualified.
@param node the class to examine
@param annotations the annotations to look for
@return {@code true} if at least one of the annotations is found, otherwise
{@code false}
|
[
"Determine",
"if",
"a",
"{"
] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/AstUtils.java#L59-L69
|
train
|
Checks if a class node has at least one of the given annotations.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/io/GenericCsvInputFormat.java
|
GenericCsvInputFormat.open
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@Override
public void open(FileInputSplit split) throws IOException {
super.open(split);
// instantiate the parsers
FieldParser<?>[] parsers = new FieldParser<?>[fieldTypes.length];
for (int i = 0; i < fieldTypes.length; i++) {
if (fieldTypes[i] != null) {
Class<? extends FieldParser<?>> parserType = FieldParser.getParserForType(fieldTypes[i]);
if (parserType == null) {
throw new RuntimeException("No parser available for type '" + fieldTypes[i].getName() + "'.");
}
FieldParser<?> p = InstantiationUtil.instantiate(parserType, FieldParser.class);
p.setCharset(getCharset());
if (this.quotedStringParsing) {
if (p instanceof StringParser) {
((StringParser)p).enableQuotedStringParsing(this.quoteCharacter);
} else if (p instanceof StringValueParser) {
((StringValueParser)p).enableQuotedStringParsing(this.quoteCharacter);
}
}
parsers[i] = p;
}
}
this.fieldParsers = parsers;
// skip the first line, if we are at the beginning of a file and have the option set
if (this.skipFirstLineAsHeader && this.splitStart == 0) {
readLine(); // read and ignore
}
}
|
java
|
@Override
public void open(FileInputSplit split) throws IOException {
super.open(split);
// instantiate the parsers
FieldParser<?>[] parsers = new FieldParser<?>[fieldTypes.length];
for (int i = 0; i < fieldTypes.length; i++) {
if (fieldTypes[i] != null) {
Class<? extends FieldParser<?>> parserType = FieldParser.getParserForType(fieldTypes[i]);
if (parserType == null) {
throw new RuntimeException("No parser available for type '" + fieldTypes[i].getName() + "'.");
}
FieldParser<?> p = InstantiationUtil.instantiate(parserType, FieldParser.class);
p.setCharset(getCharset());
if (this.quotedStringParsing) {
if (p instanceof StringParser) {
((StringParser)p).enableQuotedStringParsing(this.quoteCharacter);
} else if (p instanceof StringValueParser) {
((StringValueParser)p).enableQuotedStringParsing(this.quoteCharacter);
}
}
parsers[i] = p;
}
}
this.fieldParsers = parsers;
// skip the first line, if we are at the beginning of a file and have the option set
if (this.skipFirstLineAsHeader && this.splitStart == 0) {
readLine(); // read and ignore
}
}
|
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/io/GenericCsvInputFormat.java#L304-L338
|
train
|
Override the open method to set the field parsers and field parsers.
|
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13874,
30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java
|
ReflectUtil.getFieldsDirectly
|
public static Field[] getFieldsDirectly(Class<?> beanClass, boolean withSuperClassFieds) throws SecurityException {
Assert.notNull(beanClass);
Field[] allFields = null;
Class<?> searchType = beanClass;
Field[] declaredFields;
while (searchType != null) {
declaredFields = searchType.getDeclaredFields();
if (null == allFields) {
allFields = declaredFields;
} else {
allFields = ArrayUtil.append(allFields, declaredFields);
}
searchType = withSuperClassFieds ? searchType.getSuperclass() : null;
}
return allFields;
}
|
java
|
public static Field[] getFieldsDirectly(Class<?> beanClass, boolean withSuperClassFieds) throws SecurityException {
Assert.notNull(beanClass);
Field[] allFields = null;
Class<?> searchType = beanClass;
Field[] declaredFields;
while (searchType != null) {
declaredFields = searchType.getDeclaredFields();
if (null == allFields) {
allFields = declaredFields;
} else {
allFields = ArrayUtil.append(allFields, declaredFields);
}
searchType = withSuperClassFieds ? searchType.getSuperclass() : null;
}
return allFields;
}
|
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] |
获得一个类中所有字段列表,直接反射获取,无缓存
@param beanClass 类
@param withSuperClassFieds 是否包括父类的字段列表
@return 字段列表
@throws SecurityException 安全检查异常
|
[
"获得一个类中所有字段列表,直接反射获取,无缓存"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L152-L169
|
train
|
Gets the fields directly from the specified class.
|
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apache/flink
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flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
|
SqlValidatorImpl.getAgg
|
private SqlNode getAgg(SqlSelect select) {
final SelectScope selectScope = getRawSelectScope(select);
if (selectScope != null) {
final List<SqlNode> selectList = selectScope.getExpandedSelectList();
if (selectList != null) {
return aggFinder.findAgg(selectList);
}
}
return aggFinder.findAgg(select.getSelectList());
}
|
java
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private SqlNode getAgg(SqlSelect select) {
final SelectScope selectScope = getRawSelectScope(select);
if (selectScope != null) {
final List<SqlNode> selectList = selectScope.getExpandedSelectList();
if (selectList != null) {
return aggFinder.findAgg(selectList);
}
}
return aggFinder.findAgg(select.getSelectList());
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L2789-L2798
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train
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Get the aggregation for the given SELECT.
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flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple.java
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Tuple.getFieldNotNull
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public <T> T getFieldNotNull(int pos){
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java
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public <T> T getFieldNotNull(int pos){
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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/Tuple.java#L62-L69
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train
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Gets the value of the designated field in this object that is not null.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.readString
|
public static String readString(File file, Charset charset) throws IORuntimeException {
return FileReader.create(file, charset).readString();
}
|
java
|
public static String readString(File file, Charset charset) throws IORuntimeException {
return FileReader.create(file, charset).readString();
}
|
[
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] |
读取文件内容
@param file 文件
@param charset 字符集
@return 内容
@throws IORuntimeException IO异常
|
[
"读取文件内容"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L2102-L2104
|
train
|
Reads a string from a file.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/query/TaskKvStateRegistry.java
|
TaskKvStateRegistry.unregisterAll
|
public void unregisterAll() {
for (KvStateInfo kvState : registeredKvStates) {
registry.unregisterKvState(jobId, jobVertexId, kvState.keyGroupRange, kvState.registrationName, kvState.kvStateId);
}
}
|
java
|
public void unregisterAll() {
for (KvStateInfo kvState : registeredKvStates) {
registry.unregisterKvState(jobId, jobVertexId, kvState.keyGroupRange, kvState.registrationName, kvState.kvStateId);
}
}
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Unregisters all registered KvState instances from the KvStateRegistry.
|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/query/TaskKvStateRegistry.java#L71-L75
|
train
|
Unregister all registered KvState objects.
|
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30526
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java
|
HttpHeaders.getIntHeader
|
@Deprecated
public static int getIntHeader(HttpMessage message, String name) {
return getIntHeader(message, (CharSequence) name);
}
|
java
|
@Deprecated
public static int getIntHeader(HttpMessage message, String name) {
return getIntHeader(message, (CharSequence) name);
}
|
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@deprecated Use {@link #getInt(CharSequence)} instead.
@see #getIntHeader(HttpMessage, CharSequence)
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java#L709-L712
|
train
|
Gets the value of the header with the given name as an int.
|
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30526
] |
looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoDS.java
|
MongoDS.initSingle
|
synchronized public void initSingle() {
if (setting == null) {
try {
setting = new Setting(MONGO_CONFIG_PATH, true);
} catch (Exception e) {
// 在single模式下,可以没有配置文件。
}
}
String group = StrUtil.EMPTY;
if (null == this.serverAddress) {
//存在唯一分组
if (groups != null && groups.length == 1) {
group = groups[0];
}
serverAddress = createServerAddress(group);
}
final MongoCredential credentail = createCredentail(group);
try {
if (null == credentail) {
mongo = new MongoClient(serverAddress, buildMongoClientOptions(group));
} else {
mongo = new MongoClient(serverAddress, credentail, buildMongoClientOptions(group));
}
} catch (Exception e) {
throw new DbRuntimeException(StrUtil.format("Init MongoDB pool with connection to [{}] error!", serverAddress), e);
}
log.info("Init MongoDB pool with connection to [{}]", serverAddress);
}
|
java
|
synchronized public void initSingle() {
if (setting == null) {
try {
setting = new Setting(MONGO_CONFIG_PATH, true);
} catch (Exception e) {
// 在single模式下,可以没有配置文件。
}
}
String group = StrUtil.EMPTY;
if (null == this.serverAddress) {
//存在唯一分组
if (groups != null && groups.length == 1) {
group = groups[0];
}
serverAddress = createServerAddress(group);
}
final MongoCredential credentail = createCredentail(group);
try {
if (null == credentail) {
mongo = new MongoClient(serverAddress, buildMongoClientOptions(group));
} else {
mongo = new MongoClient(serverAddress, credentail, buildMongoClientOptions(group));
}
} catch (Exception e) {
throw new DbRuntimeException(StrUtil.format("Init MongoDB pool with connection to [{}] error!", serverAddress), e);
}
log.info("Init MongoDB pool with connection to [{}]", serverAddress);
}
|
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] |
初始化<br>
设定文件中的host和端口有三种形式:
<pre>
host = host:port
</pre>
<pre>
host = host
port = port
</pre>
<pre>
host = host
</pre>
|
[
"初始化<br",
">",
"设定文件中的host和端口有三种形式:"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoDS.java#L132-L162
|
train
|
Initializes the connection to a single MongoDB connection.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java
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IOUtil.writeLine
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public static void writeLine(BufferedWriter bw, String... params) throws IOException
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bw.write(params[i]);
bw.write('\t');
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bw.write(params[params.length - 1]);
}
|
java
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public static void writeLine(BufferedWriter bw, String... params) throws IOException
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for (int i = 0; i < params.length - 1; i++)
{
bw.write(params[i]);
bw.write('\t');
}
bw.write(params[params.length - 1]);
}
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写数组,用制表符分割
@param bw
@param params
@throws IOException
|
[
"写数组,用制表符分割"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java#L658-L666
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train
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Write a line of a Sequence of Attributes.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java
|
IoUtil.toPushbackStream
|
public static PushbackInputStream toPushbackStream(InputStream in, int pushBackSize) {
return (in instanceof PushbackInputStream) ? (PushbackInputStream) in : new PushbackInputStream(in, pushBackSize);
}
|
java
|
public static PushbackInputStream toPushbackStream(InputStream in, int pushBackSize) {
return (in instanceof PushbackInputStream) ? (PushbackInputStream) in : new PushbackInputStream(in, pushBackSize);
}
|
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转换为{@link PushbackInputStream}<br>
如果传入的输入流已经是{@link PushbackInputStream},强转返回,否则新建一个
@param in {@link InputStream}
@param pushBackSize 推后的byte数
@return {@link PushbackInputStream}
@since 3.1.0
|
[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L845-L847
|
train
|
Converts an input stream to a PushbackInputStream.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot-tools/spring-boot-loader-tools/src/main/java/org/springframework/boot/loader/tools/FileUtils.java
|
FileUtils.removeDuplicatesFromOutputDirectory
|
public static void removeDuplicatesFromOutputDirectory(File outputDirectory,
File originDirectory) {
if (originDirectory.isDirectory()) {
for (String name : originDirectory.list()) {
File targetFile = new File(outputDirectory, name);
if (targetFile.exists() && targetFile.canWrite()) {
if (!targetFile.isDirectory()) {
targetFile.delete();
}
else {
FileUtils.removeDuplicatesFromOutputDirectory(targetFile,
new File(originDirectory, name));
}
}
}
}
}
|
java
|
public static void removeDuplicatesFromOutputDirectory(File outputDirectory,
File originDirectory) {
if (originDirectory.isDirectory()) {
for (String name : originDirectory.list()) {
File targetFile = new File(outputDirectory, name);
if (targetFile.exists() && targetFile.canWrite()) {
if (!targetFile.isDirectory()) {
targetFile.delete();
}
else {
FileUtils.removeDuplicatesFromOutputDirectory(targetFile,
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}
}
}
}
}
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Utility to remove duplicate files from an "output" directory if they already exist
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@param outputDirectory the output directory
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-tools/spring-boot-loader-tools/src/main/java/org/springframework/boot/loader/tools/FileUtils.java#L41-L57
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train
|
Removes duplicate files from the originDirectory to the outputDirectory.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/convert/impl/Jdk8DateConverter.java
|
Jdk8DateConverter.parseFromLong
|
private Object parseFromLong(Long time) {
String targetName = this.targetType.getName();
if ("java.time.Instant".equals(targetName)) {
return toInstant(time);
}
return null;
}
|
java
|
private Object parseFromLong(Long time) {
String targetName = this.targetType.getName();
if ("java.time.Instant".equals(targetName)) {
return toInstant(time);
}
return null;
}
|
[
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] |
通过反射将Long型时间戳转换为java.time中的对象
@param time 时间戳
@return java.time中的对象
|
[
"通过反射将Long型时间戳转换为java",
".",
"time中的对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/convert/impl/Jdk8DateConverter.java#L116-L122
|
train
|
Parse a
object from a long value.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java
|
PojoSerializer.buildSnapshot
|
private static <T> PojoSerializerSnapshot<T> buildSnapshot(
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LinkedHashMap<Class<?>, Integer> registeredSubclassesToTags,
TypeSerializer<?>[] registeredSubclassSerializers,
Field[] fields,
TypeSerializer<?>[] fieldSerializers,
Map<Class<?>, TypeSerializer<?>> nonRegisteredSubclassSerializerCache) {
final LinkedHashMap<Class<?>, TypeSerializer<?>> subclassRegistry = new LinkedHashMap<>(registeredSubclassesToTags.size());
for (Map.Entry<Class<?>, Integer> entry : registeredSubclassesToTags.entrySet()) {
subclassRegistry.put(entry.getKey(), registeredSubclassSerializers[entry.getValue()]);
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return new PojoSerializerSnapshot<>(
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fieldSerializers,
subclassRegistry,
nonRegisteredSubclassSerializerCache);
}
|
java
|
private static <T> PojoSerializerSnapshot<T> buildSnapshot(
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TypeSerializer<?>[] registeredSubclassSerializers,
Field[] fields,
TypeSerializer<?>[] fieldSerializers,
Map<Class<?>, TypeSerializer<?>> nonRegisteredSubclassSerializerCache) {
final LinkedHashMap<Class<?>, TypeSerializer<?>> subclassRegistry = new LinkedHashMap<>(registeredSubclassesToTags.size());
for (Map.Entry<Class<?>, Integer> entry : registeredSubclassesToTags.entrySet()) {
subclassRegistry.put(entry.getKey(), registeredSubclassSerializers[entry.getValue()]);
}
return new PojoSerializerSnapshot<>(
pojoType,
fields,
fieldSerializers,
subclassRegistry,
nonRegisteredSubclassSerializerCache);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L1107-L1127
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train
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Build a snapshot of the given POJO type.
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/metrics/web/reactive/server/WebFluxTags.java
|
WebFluxTags.exception
|
public static Tag exception(Throwable exception) {
if (exception != null) {
String simpleName = exception.getClass().getSimpleName();
return Tag.of("exception", StringUtils.hasText(simpleName) ? simpleName
: exception.getClass().getName());
}
return EXCEPTION_NONE;
}
|
java
|
public static Tag exception(Throwable exception) {
if (exception != null) {
String simpleName = exception.getClass().getSimpleName();
return Tag.of("exception", StringUtils.hasText(simpleName) ? simpleName
: exception.getClass().getName());
}
return EXCEPTION_NONE;
}
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|
[
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"an",
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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/metrics/web/reactive/server/WebFluxTags.java#L132-L139
|
train
|
Creates a tag that represents an exception.
|
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apache/flink
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flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/state/serialization/KvStateSerializer.java
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KvStateSerializer.serializeValue
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public static <T> byte[] serializeValue(T value, TypeSerializer<T> serializer) throws IOException {
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serializer.serialize(value, dos);
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java
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public static <T> byte[] serializeValue(T value, TypeSerializer<T> serializer) throws IOException {
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serializer.serialize(value, dos);
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netty/netty
|
handler/src/main/java/io/netty/handler/traffic/AbstractTrafficShapingHandler.java
|
AbstractTrafficShapingHandler.releaseReadSuspended
|
void releaseReadSuspended(ChannelHandlerContext ctx) {
Channel channel = ctx.channel();
channel.attr(READ_SUSPENDED).set(false);
channel.config().setAutoRead(true);
}
|
java
|
void releaseReadSuspended(ChannelHandlerContext ctx) {
Channel channel = ctx.channel();
channel.attr(READ_SUSPENDED).set(false);
channel.config().setAutoRead(true);
}
|
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Release the Read suspension
|
[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/traffic/AbstractTrafficShapingHandler.java#L469-L473
|
train
|
Release read suspended flag.
|
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30526
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/tasks/SourceStreamTask.java
|
SourceStreamTask.triggerCheckpoint
|
@Override
public boolean triggerCheckpoint(CheckpointMetaData checkpointMetaData, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) throws Exception {
if (!externallyInducedCheckpoints) {
return super.triggerCheckpoint(checkpointMetaData, checkpointOptions, advanceToEndOfEventTime);
}
else {
// we do not trigger checkpoints here, we simply state whether we can trigger them
synchronized (getCheckpointLock()) {
return isRunning();
}
}
}
|
java
|
@Override
public boolean triggerCheckpoint(CheckpointMetaData checkpointMetaData, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) throws Exception {
if (!externallyInducedCheckpoints) {
return super.triggerCheckpoint(checkpointMetaData, checkpointOptions, advanceToEndOfEventTime);
}
else {
// we do not trigger checkpoints here, we simply state whether we can trigger them
synchronized (getCheckpointLock()) {
return isRunning();
}
}
}
|
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/tasks/SourceStreamTask.java#L121-L132
|
train
|
This method is used to trigger a checkpoint.
|
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flink-core/src/main/java/org/apache/flink/api/common/typeinfo/Types.java
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Types.VALUE
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public static <V extends Value> TypeInformation<V> VALUE(Class<V> valueType) {
return new ValueTypeInfo<>(valueType);
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java
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public static <V extends Value> TypeInformation<V> VALUE(Class<V> valueType) {
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<p>Value types describe their serialization and deserialization manually. Instead of going
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/typeinfo/Types.java#L398-L400
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train
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronTagger.java
|
PerceptronTagger.learn
|
public boolean learn(Instance instance)
{
if (instance == null) return false;
model.update(instance);
return true;
}
|
java
|
public boolean learn(Instance instance)
{
if (instance == null) return false;
model.update(instance);
return true;
}
|
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] |
在线学习
@param instance
@return
|
[
"在线学习"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronTagger.java#L55-L60
|
train
|
Learn a single instance of a CID .
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/Img.java
|
Img.write
|
public boolean write(ImageOutputStream targetImageStream) throws IORuntimeException {
Assert.notBlank(this.targetImageType, "Target image type is blank !");
Assert.notNull(targetImageStream, "Target output stream is null !");
final BufferedImage targetImage = (null == this.targetImage) ? this.srcImage : this.targetImage;
Assert.notNull(targetImage, "Target image is null !");
return ImgUtil.write(targetImage, this.targetImageType, targetImageStream, this.quality);
}
|
java
|
public boolean write(ImageOutputStream targetImageStream) throws IORuntimeException {
Assert.notBlank(this.targetImageType, "Target image type is blank !");
Assert.notNull(targetImageStream, "Target output stream is null !");
final BufferedImage targetImage = (null == this.targetImage) ? this.srcImage : this.targetImage;
Assert.notNull(targetImage, "Target image is null !");
return ImgUtil.write(targetImage, this.targetImageType, targetImageStream, this.quality);
}
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写出图像为PNG格式
@param targetImageStream 写出到的目标流
@return 是否成功写出,如果返回false表示未找到合适的Writer
@throws IORuntimeException IO异常
|
[
"写出图像为PNG格式"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/Img.java#L529-L537
|
train
|
Write the image to the target image stream.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/windowing/MergingWindowSet.java
|
MergingWindowSet.addWindow
|
public W addWindow(W newWindow, MergeFunction<W> mergeFunction) throws Exception {
List<W> windows = new ArrayList<>();
windows.addAll(this.mapping.keySet());
windows.add(newWindow);
final Map<W, Collection<W>> mergeResults = new HashMap<>();
windowAssigner.mergeWindows(windows,
new MergingWindowAssigner.MergeCallback<W>() {
@Override
public void merge(Collection<W> toBeMerged, W mergeResult) {
if (LOG.isDebugEnabled()) {
LOG.debug("Merging {} into {}", toBeMerged, mergeResult);
}
mergeResults.put(mergeResult, toBeMerged);
}
});
W resultWindow = newWindow;
boolean mergedNewWindow = false;
// perform the merge
for (Map.Entry<W, Collection<W>> c: mergeResults.entrySet()) {
W mergeResult = c.getKey();
Collection<W> mergedWindows = c.getValue();
// if our new window is in the merged windows make the merge result the
// result window
if (mergedWindows.remove(newWindow)) {
mergedNewWindow = true;
resultWindow = mergeResult;
}
// pick any of the merged windows and choose that window's state window
// as the state window for the merge result
W mergedStateWindow = this.mapping.get(mergedWindows.iterator().next());
// figure out the state windows that we are merging
List<W> mergedStateWindows = new ArrayList<>();
for (W mergedWindow: mergedWindows) {
W res = this.mapping.remove(mergedWindow);
if (res != null) {
mergedStateWindows.add(res);
}
}
this.mapping.put(mergeResult, mergedStateWindow);
// don't put the target state window into the merged windows
mergedStateWindows.remove(mergedStateWindow);
// don't merge the new window itself, it never had any state associated with it
// i.e. if we are only merging one pre-existing window into itself
// without extending the pre-existing window
if (!(mergedWindows.contains(mergeResult) && mergedWindows.size() == 1)) {
mergeFunction.merge(mergeResult,
mergedWindows,
this.mapping.get(mergeResult),
mergedStateWindows);
}
}
// the new window created a new, self-contained window without merging
if (mergeResults.isEmpty() || (resultWindow.equals(newWindow) && !mergedNewWindow)) {
this.mapping.put(resultWindow, resultWindow);
}
return resultWindow;
}
|
java
|
public W addWindow(W newWindow, MergeFunction<W> mergeFunction) throws Exception {
List<W> windows = new ArrayList<>();
windows.addAll(this.mapping.keySet());
windows.add(newWindow);
final Map<W, Collection<W>> mergeResults = new HashMap<>();
windowAssigner.mergeWindows(windows,
new MergingWindowAssigner.MergeCallback<W>() {
@Override
public void merge(Collection<W> toBeMerged, W mergeResult) {
if (LOG.isDebugEnabled()) {
LOG.debug("Merging {} into {}", toBeMerged, mergeResult);
}
mergeResults.put(mergeResult, toBeMerged);
}
});
W resultWindow = newWindow;
boolean mergedNewWindow = false;
// perform the merge
for (Map.Entry<W, Collection<W>> c: mergeResults.entrySet()) {
W mergeResult = c.getKey();
Collection<W> mergedWindows = c.getValue();
// if our new window is in the merged windows make the merge result the
// result window
if (mergedWindows.remove(newWindow)) {
mergedNewWindow = true;
resultWindow = mergeResult;
}
// pick any of the merged windows and choose that window's state window
// as the state window for the merge result
W mergedStateWindow = this.mapping.get(mergedWindows.iterator().next());
// figure out the state windows that we are merging
List<W> mergedStateWindows = new ArrayList<>();
for (W mergedWindow: mergedWindows) {
W res = this.mapping.remove(mergedWindow);
if (res != null) {
mergedStateWindows.add(res);
}
}
this.mapping.put(mergeResult, mergedStateWindow);
// don't put the target state window into the merged windows
mergedStateWindows.remove(mergedStateWindow);
// don't merge the new window itself, it never had any state associated with it
// i.e. if we are only merging one pre-existing window into itself
// without extending the pre-existing window
if (!(mergedWindows.contains(mergeResult) && mergedWindows.size() == 1)) {
mergeFunction.merge(mergeResult,
mergedWindows,
this.mapping.get(mergeResult),
mergedStateWindows);
}
}
// the new window created a new, self-contained window without merging
if (mergeResults.isEmpty() || (resultWindow.equals(newWindow) && !mergedNewWindow)) {
this.mapping.put(resultWindow, resultWindow);
}
return resultWindow;
}
|
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] |
Adds a new {@code Window} to the set of in-flight windows. It might happen that this
triggers merging of previously in-flight windows. In that case, the provided
{@link MergeFunction} is called.
<p>This returns the window that is the representative of the added window after adding.
This can either be the new window itself, if no merge occurred, or the newly merged
window. Adding an element to a window or calling trigger functions should only
happen on the returned representative. This way, we never have to deal with a new window
that is immediately swallowed up by another window.
<p>If the new window is merged, the {@code MergeFunction} callback arguments also don't
contain the new window as part of the list of merged windows.
@param newWindow The new {@code Window} to add.
@param mergeFunction The callback to be invoked in case a merge occurs.
@return The {@code Window} that new new {@code Window} ended up in. This can also be the
the new {@code Window} itself in case no merge occurred.
@throws Exception
|
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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/MergingWindowSet.java#L156-L225
|
train
|
Add a new window to the cluster.
|
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] |
looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONTokener.java
|
JSONTokener.next
|
public char next(char c) throws JSONException {
char n = this.next();
if (n != c) {
throw this.syntaxError("Expected '" + c + "' and instead saw '" + n + "'");
}
return n;
}
|
java
|
public char next(char c) throws JSONException {
char n = this.next();
if (n != c) {
throw this.syntaxError("Expected '" + c + "' and instead saw '" + n + "'");
}
return n;
}
|
[
"public",
"char",
"next",
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"char",
"c",
")",
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"JSONException",
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"\"' and instead saw '\"",
"+",
"n",
"+",
"\"'\"",
")",
";",
"}",
"return",
"n",
";",
"}"
] |
读取下一个字符,并比对是否和指定字符匹配
@param c 被匹配的字符
@return The character 匹配到的字符
@throws JSONException 如果不匹配抛出此异常
|
[
"读取下一个字符,并比对是否和指定字符匹配"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONTokener.java#L144-L150
|
train
|
Get the next character from the JSON stream.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/support/ui/Select.java
|
Select.selectByValue
|
@Override
public void selectByValue(String value) {
for (WebElement option : findOptionsByValue(value)) {
setSelected(option, true);
if (!isMultiple()) {
return;
}
}
}
|
java
|
@Override
public void selectByValue(String value) {
for (WebElement option : findOptionsByValue(value)) {
setSelected(option, true);
if (!isMultiple()) {
return;
}
}
}
|
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Select all options that have a value matching the argument. That is, when given "foo" this
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<option value="foo">Bar</option>
@param value The value to match against
@throws NoSuchElementException If no matching option elements are found
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] |
7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/support/ui/Select.java#L185-L193
|
train
|
Select all elements with a value.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java
|
SegmentsUtil.getChar
|
public static char getChar(MemorySegment[] segments, int offset) {
if (inFirstSegment(segments, offset, 2)) {
return segments[0].getChar(offset);
} else {
return getCharMultiSegments(segments, offset);
}
}
|
java
|
public static char getChar(MemorySegment[] segments, int offset) {
if (inFirstSegment(segments, offset, 2)) {
return segments[0].getChar(offset);
} else {
return getCharMultiSegments(segments, offset);
}
}
|
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get char from segments.
@param segments target segments.
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|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java#L956-L962
|
train
|
get char from segments.
|
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java
|
DoubleArrayTrie.resize
|
private int resize(int newSize)
{
int[] base2 = new int[newSize];
int[] check2 = new int[newSize];
if (allocSize > 0)
{
System.arraycopy(base, 0, base2, 0, allocSize);
System.arraycopy(check, 0, check2, 0, allocSize);
}
base = base2;
check = check2;
return allocSize = newSize;
}
|
java
|
private int resize(int newSize)
{
int[] base2 = new int[newSize];
int[] check2 = new int[newSize];
if (allocSize > 0)
{
System.arraycopy(base, 0, base2, 0, allocSize);
System.arraycopy(check, 0, check2, 0, allocSize);
}
base = base2;
check = check2;
return allocSize = newSize;
}
|
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] |
拓展数组
@param newSize
@return
|
[
"拓展数组"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java#L87-L101
|
train
|
Resize the array of base and check arrays to the new size.
|
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apache/flink
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flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
|
DataSet.reduceGroup
|
public <R> GroupReduceOperator<T, R> reduceGroup(GroupReduceFunction<T, R> reducer) {
if (reducer == null) {
throw new NullPointerException("GroupReduce function must not be null.");
}
String callLocation = Utils.getCallLocationName();
TypeInformation<R> resultType = TypeExtractor.getGroupReduceReturnTypes(reducer, getType(), callLocation, true);
return new GroupReduceOperator<>(this, resultType, clean(reducer), callLocation);
}
|
java
|
public <R> GroupReduceOperator<T, R> reduceGroup(GroupReduceFunction<T, R> reducer) {
if (reducer == null) {
throw new NullPointerException("GroupReduce function must not be null.");
}
String callLocation = Utils.getCallLocationName();
TypeInformation<R> resultType = TypeExtractor.getGroupReduceReturnTypes(reducer, getType(), callLocation, true);
return new GroupReduceOperator<>(this, resultType, clean(reducer), callLocation);
}
|
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Applies a GroupReduce transformation on a non-grouped {@link DataSet}.
<p>The transformation calls a {@link org.apache.flink.api.common.functions.RichGroupReduceFunction} once with the full DataSet.
The GroupReduceFunction can iterate over all elements of the DataSet and emit any
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@param reducer The GroupReduceFunction that is applied on the DataSet.
@return A GroupReduceOperator that represents the reduced DataSet.
@see org.apache.flink.api.common.functions.RichGroupReduceFunction
@see org.apache.flink.api.java.operators.GroupReduceOperator
@see DataSet
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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/DataSet.java#L464-L472
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train
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Returns a new instance of this operator that reduces the results of the given group function.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java
|
MapUtil.createMap
|
@SuppressWarnings("unchecked")
public static <K, V> Map<K, V> createMap(Class<?> mapType) {
if (mapType.isAssignableFrom(AbstractMap.class)) {
return new HashMap<>();
} else {
return (Map<K, V>) ReflectUtil.newInstance(mapType);
}
}
|
java
|
@SuppressWarnings("unchecked")
public static <K, V> Map<K, V> createMap(Class<?> mapType) {
if (mapType.isAssignableFrom(AbstractMap.class)) {
return new HashMap<>();
} else {
return (Map<K, V>) ReflectUtil.newInstance(mapType);
}
}
|
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创建Map<br>
传入抽象Map{@link AbstractMap}和{@link Map}类将默认创建{@link HashMap}
@param <K> map键类型
@param <V> map值类型
@param mapType map类型
@return {@link Map}实例
|
[
"创建Map<br",
">",
"传入抽象Map",
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L156-L163
|
train
|
Creates a map of the specified type.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java
|
NumberUtil.range
|
public static int[] range(int start, int stop, int step) {
if (start < stop) {
step = Math.abs(step);
} else if (start > stop) {
step = -Math.abs(step);
} else {// start == end
return new int[] { start };
}
int size = Math.abs((stop - start) / step) + 1;
int[] values = new int[size];
int index = 0;
for (int i = start; (step > 0) ? i <= stop : i >= stop; i += step) {
values[index] = i;
index++;
}
return values;
}
|
java
|
public static int[] range(int start, int stop, int step) {
if (start < stop) {
step = Math.abs(step);
} else if (start > stop) {
step = -Math.abs(step);
} else {// start == end
return new int[] { start };
}
int size = Math.abs((stop - start) / step) + 1;
int[] values = new int[size];
int index = 0;
for (int i = start; (step > 0) ? i <= stop : i >= stop; i += step) {
values[index] = i;
index++;
}
return values;
}
|
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] |
给定范围内的整数列表
@param start 开始(包含)
@param stop 结束(包含)
@param step 步进
@return 整数列表
|
[
"给定范围内的整数列表"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L1316-L1333
|
train
|
Returns an array of integers representing the range of the specified range of integers.
|
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] |
networknt/light-4j
|
client/src/main/java/com/networknt/client/oauth/OauthHelper.java
|
OauthHelper.renewCCTokenAsync
|
private static void renewCCTokenAsync(final Jwt jwt) {
// Not expired yet, try to renew async but let requests use the old token.
logger.trace("In renew window but token is not expired yet.");
if(!jwt.isRenewing() || System.currentTimeMillis() > jwt.getEarlyRetryTimeout()) {
jwt.setRenewing(true);
jwt.setEarlyRetryTimeout(System.currentTimeMillis() + jwt.getEarlyRefreshRetryDelay());
logger.trace("Retrieve token async is called while token is not expired yet");
ScheduledExecutorService executor = Executors.newSingleThreadScheduledExecutor();
executor.schedule(() -> {
Result<Jwt> result = getCCTokenRemotely(jwt);
if(result.isFailure()) {
// swallow the exception here as it is on a best effort basis.
logger.error("Async retrieve token error with status: {}", result.getError().toString());
}
//set renewing flag to false after response, doesn't matter if it's success or fail.
jwt.setRenewing(false);
}, 50, TimeUnit.MILLISECONDS);
executor.shutdown();
}
}
|
java
|
private static void renewCCTokenAsync(final Jwt jwt) {
// Not expired yet, try to renew async but let requests use the old token.
logger.trace("In renew window but token is not expired yet.");
if(!jwt.isRenewing() || System.currentTimeMillis() > jwt.getEarlyRetryTimeout()) {
jwt.setRenewing(true);
jwt.setEarlyRetryTimeout(System.currentTimeMillis() + jwt.getEarlyRefreshRetryDelay());
logger.trace("Retrieve token async is called while token is not expired yet");
ScheduledExecutorService executor = Executors.newSingleThreadScheduledExecutor();
executor.schedule(() -> {
Result<Jwt> result = getCCTokenRemotely(jwt);
if(result.isFailure()) {
// swallow the exception here as it is on a best effort basis.
logger.error("Async retrieve token error with status: {}", result.getError().toString());
}
//set renewing flag to false after response, doesn't matter if it's success or fail.
jwt.setRenewing(false);
}, 50, TimeUnit.MILLISECONDS);
executor.shutdown();
}
}
|
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] |
renew the given Jwt jwt asynchronously.
When fail, it will swallow the exception, so no need return type to be handled by caller.
@param jwt the jwt you want to renew
|
[
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] |
2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/client/src/main/java/com/networknt/client/oauth/OauthHelper.java#L616-L637
|
train
|
Renew the CCToken asynchronously.
|
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apache/flink
|
flink-mesos/src/main/java/org/apache/flink/mesos/Utils.java
|
Utils.uri
|
public static Protos.CommandInfo.URI uri(MesosArtifactResolver resolver, ContainerSpecification.Artifact artifact) {
checkNotNull(resolver);
checkNotNull(artifact);
Option<URL> url = resolver.resolve(artifact.dest);
if (url.isEmpty()) {
throw new IllegalArgumentException("Unresolvable artifact: " + artifact.dest);
}
return Protos.CommandInfo.URI.newBuilder()
.setValue(url.get().toExternalForm())
.setOutputFile(artifact.dest.toString())
.setExtract(artifact.extract)
.setCache(artifact.cachable)
.setExecutable(artifact.executable)
.build();
}
|
java
|
public static Protos.CommandInfo.URI uri(MesosArtifactResolver resolver, ContainerSpecification.Artifact artifact) {
checkNotNull(resolver);
checkNotNull(artifact);
Option<URL> url = resolver.resolve(artifact.dest);
if (url.isEmpty()) {
throw new IllegalArgumentException("Unresolvable artifact: " + artifact.dest);
}
return Protos.CommandInfo.URI.newBuilder()
.setValue(url.get().toExternalForm())
.setOutputFile(artifact.dest.toString())
.setExtract(artifact.extract)
.setCache(artifact.cachable)
.setExecutable(artifact.executable)
.build();
}
|
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Construct a Mesos URI.
|
[
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"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-mesos/src/main/java/org/apache/flink/mesos/Utils.java#L73-L88
|
train
|
Create a URI from an artifact.
|
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apache/flink
|
flink-clients/src/main/java/org/apache/flink/client/program/PackagedProgramUtils.java
|
PackagedProgramUtils.createJobGraph
|
public static JobGraph createJobGraph(
PackagedProgram packagedProgram,
Configuration configuration,
int defaultParallelism,
@Nullable JobID jobID) throws ProgramInvocationException {
Thread.currentThread().setContextClassLoader(packagedProgram.getUserCodeClassLoader());
final Optimizer optimizer = new Optimizer(new DataStatistics(), new DefaultCostEstimator(), configuration);
final FlinkPlan flinkPlan;
if (packagedProgram.isUsingProgramEntryPoint()) {
final JobWithJars jobWithJars = packagedProgram.getPlanWithJars();
final Plan plan = jobWithJars.getPlan();
if (plan.getDefaultParallelism() <= 0) {
plan.setDefaultParallelism(defaultParallelism);
}
flinkPlan = optimizer.compile(jobWithJars.getPlan());
} else if (packagedProgram.isUsingInteractiveMode()) {
final OptimizerPlanEnvironment optimizerPlanEnvironment = new OptimizerPlanEnvironment(optimizer);
optimizerPlanEnvironment.setParallelism(defaultParallelism);
flinkPlan = optimizerPlanEnvironment.getOptimizedPlan(packagedProgram);
} else {
throw new ProgramInvocationException("PackagedProgram does not have a valid invocation mode.");
}
final JobGraph jobGraph;
if (flinkPlan instanceof StreamingPlan) {
jobGraph = ((StreamingPlan) flinkPlan).getJobGraph(jobID);
jobGraph.setSavepointRestoreSettings(packagedProgram.getSavepointSettings());
} else {
final JobGraphGenerator jobGraphGenerator = new JobGraphGenerator(configuration);
jobGraph = jobGraphGenerator.compileJobGraph((OptimizedPlan) flinkPlan, jobID);
}
for (URL url : packagedProgram.getAllLibraries()) {
try {
jobGraph.addJar(new Path(url.toURI()));
} catch (URISyntaxException e) {
throw new ProgramInvocationException("Invalid URL for jar file: " + url + '.', jobGraph.getJobID(), e);
}
}
jobGraph.setClasspaths(packagedProgram.getClasspaths());
return jobGraph;
}
|
java
|
public static JobGraph createJobGraph(
PackagedProgram packagedProgram,
Configuration configuration,
int defaultParallelism,
@Nullable JobID jobID) throws ProgramInvocationException {
Thread.currentThread().setContextClassLoader(packagedProgram.getUserCodeClassLoader());
final Optimizer optimizer = new Optimizer(new DataStatistics(), new DefaultCostEstimator(), configuration);
final FlinkPlan flinkPlan;
if (packagedProgram.isUsingProgramEntryPoint()) {
final JobWithJars jobWithJars = packagedProgram.getPlanWithJars();
final Plan plan = jobWithJars.getPlan();
if (plan.getDefaultParallelism() <= 0) {
plan.setDefaultParallelism(defaultParallelism);
}
flinkPlan = optimizer.compile(jobWithJars.getPlan());
} else if (packagedProgram.isUsingInteractiveMode()) {
final OptimizerPlanEnvironment optimizerPlanEnvironment = new OptimizerPlanEnvironment(optimizer);
optimizerPlanEnvironment.setParallelism(defaultParallelism);
flinkPlan = optimizerPlanEnvironment.getOptimizedPlan(packagedProgram);
} else {
throw new ProgramInvocationException("PackagedProgram does not have a valid invocation mode.");
}
final JobGraph jobGraph;
if (flinkPlan instanceof StreamingPlan) {
jobGraph = ((StreamingPlan) flinkPlan).getJobGraph(jobID);
jobGraph.setSavepointRestoreSettings(packagedProgram.getSavepointSettings());
} else {
final JobGraphGenerator jobGraphGenerator = new JobGraphGenerator(configuration);
jobGraph = jobGraphGenerator.compileJobGraph((OptimizedPlan) flinkPlan, jobID);
}
for (URL url : packagedProgram.getAllLibraries()) {
try {
jobGraph.addJar(new Path(url.toURI()));
} catch (URISyntaxException e) {
throw new ProgramInvocationException("Invalid URL for jar file: " + url + '.', jobGraph.getJobID(), e);
}
}
jobGraph.setClasspaths(packagedProgram.getClasspaths());
return jobGraph;
}
|
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Creates a {@link JobGraph} with a specified {@link JobID}
from the given {@link PackagedProgram}.
@param packagedProgram to extract the JobGraph from
@param configuration to use for the optimizer and job graph generator
@param defaultParallelism for the JobGraph
@param jobID the pre-generated job id
@return JobGraph extracted from the PackagedProgram
@throws ProgramInvocationException if the JobGraph generation failed
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-clients/src/main/java/org/apache/flink/client/program/PackagedProgramUtils.java#L55-L106
|
train
|
Creates a job graph from a packaged program.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/AbstractMergeInnerJoinIterator.java
|
AbstractMergeInnerJoinIterator.callWithNextKey
|
@Override
public boolean callWithNextKey(final FlatJoinFunction<T1, T2, O> joinFunction, final Collector<O> collector)
throws Exception {
if (!this.iterator1.nextKey() || !this.iterator2.nextKey()) {
// consume all remaining keys (hack to prevent remaining inputs during iterations, lets get rid of this soon)
while (this.iterator1.nextKey()) {
}
while (this.iterator2.nextKey()) {
}
return false;
}
final TypePairComparator<T1, T2> comparator = this.pairComparator;
comparator.setReference(this.iterator1.getCurrent());
T2 current2 = this.iterator2.getCurrent();
// zig zag
while (true) {
// determine the relation between the (possibly composite) keys
final int comp = comparator.compareToReference(current2);
if (comp == 0) {
break;
}
if (comp < 0) {
if (!this.iterator2.nextKey()) {
return false;
}
current2 = this.iterator2.getCurrent();
} else {
if (!this.iterator1.nextKey()) {
return false;
}
comparator.setReference(this.iterator1.getCurrent());
}
}
// here, we have a common key! call the join function with the cross product of the
// values
final Iterator<T1> values1 = this.iterator1.getValues();
final Iterator<T2> values2 = this.iterator2.getValues();
crossMatchingGroup(values1, values2, joinFunction, collector);
return true;
}
|
java
|
@Override
public boolean callWithNextKey(final FlatJoinFunction<T1, T2, O> joinFunction, final Collector<O> collector)
throws Exception {
if (!this.iterator1.nextKey() || !this.iterator2.nextKey()) {
// consume all remaining keys (hack to prevent remaining inputs during iterations, lets get rid of this soon)
while (this.iterator1.nextKey()) {
}
while (this.iterator2.nextKey()) {
}
return false;
}
final TypePairComparator<T1, T2> comparator = this.pairComparator;
comparator.setReference(this.iterator1.getCurrent());
T2 current2 = this.iterator2.getCurrent();
// zig zag
while (true) {
// determine the relation between the (possibly composite) keys
final int comp = comparator.compareToReference(current2);
if (comp == 0) {
break;
}
if (comp < 0) {
if (!this.iterator2.nextKey()) {
return false;
}
current2 = this.iterator2.getCurrent();
} else {
if (!this.iterator1.nextKey()) {
return false;
}
comparator.setReference(this.iterator1.getCurrent());
}
}
// here, we have a common key! call the join function with the cross product of the
// values
final Iterator<T1> values1 = this.iterator1.getValues();
final Iterator<T2> values2 = this.iterator2.getValues();
crossMatchingGroup(values1, values2, joinFunction, collector);
return true;
}
|
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] |
Calls the <code>JoinFunction#join()</code> method for all two key-value pairs that share the same key and come
from different inputs. The output of the <code>join()</code> method is forwarded.
<p>
This method first zig-zags between the two sorted inputs in order to find a common
key, and then calls the join stub with the cross product of the values.
@throws Exception Forwards all exceptions from the user code and the I/O system.
@see org.apache.flink.runtime.operators.util.JoinTaskIterator#callWithNextKey(org.apache.flink.api.common.functions.FlatJoinFunction, org.apache.flink.util.Collector)
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/AbstractMergeInnerJoinIterator.java#L63-L109
|
train
|
Call the join function with the next key.
|
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alibaba/canal
|
parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlEventParser.java
|
MysqlEventParser.findTransactionBeginPosition
|
private Long findTransactionBeginPosition(ErosaConnection mysqlConnection, final EntryPosition entryPosition)
throws IOException {
// 针对开始的第一条为非Begin记录,需要从该binlog扫描
final java.util.concurrent.atomic.AtomicLong preTransactionStartPosition = new java.util.concurrent.atomic.AtomicLong(0L);
mysqlConnection.reconnect();
mysqlConnection.seek(entryPosition.getJournalName(), 4L, entryPosition.getGtid(), new SinkFunction<LogEvent>() {
private LogPosition lastPosition;
public boolean sink(LogEvent event) {
try {
CanalEntry.Entry entry = parseAndProfilingIfNecessary(event, true);
if (entry == null) {
return true;
}
// 直接查询第一条业务数据,确认是否为事务Begin
// 记录一下transaction begin position
if (entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONBEGIN
&& entry.getHeader().getLogfileOffset() < entryPosition.getPosition()) {
preTransactionStartPosition.set(entry.getHeader().getLogfileOffset());
}
if (entry.getHeader().getLogfileOffset() >= entryPosition.getPosition()) {
return false;// 退出
}
lastPosition = buildLastPosition(entry);
} catch (Exception e) {
processSinkError(e, lastPosition, entryPosition.getJournalName(), entryPosition.getPosition());
return false;
}
return running;
}
});
// 判断一下找到的最接近position的事务头的位置
if (preTransactionStartPosition.get() > entryPosition.getPosition()) {
logger.error("preTransactionEndPosition greater than startPosition from zk or localconf, maybe lost data");
throw new CanalParseException("preTransactionStartPosition greater than startPosition from zk or localconf, maybe lost data");
}
return preTransactionStartPosition.get();
}
|
java
|
private Long findTransactionBeginPosition(ErosaConnection mysqlConnection, final EntryPosition entryPosition)
throws IOException {
// 针对开始的第一条为非Begin记录,需要从该binlog扫描
final java.util.concurrent.atomic.AtomicLong preTransactionStartPosition = new java.util.concurrent.atomic.AtomicLong(0L);
mysqlConnection.reconnect();
mysqlConnection.seek(entryPosition.getJournalName(), 4L, entryPosition.getGtid(), new SinkFunction<LogEvent>() {
private LogPosition lastPosition;
public boolean sink(LogEvent event) {
try {
CanalEntry.Entry entry = parseAndProfilingIfNecessary(event, true);
if (entry == null) {
return true;
}
// 直接查询第一条业务数据,确认是否为事务Begin
// 记录一下transaction begin position
if (entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONBEGIN
&& entry.getHeader().getLogfileOffset() < entryPosition.getPosition()) {
preTransactionStartPosition.set(entry.getHeader().getLogfileOffset());
}
if (entry.getHeader().getLogfileOffset() >= entryPosition.getPosition()) {
return false;// 退出
}
lastPosition = buildLastPosition(entry);
} catch (Exception e) {
processSinkError(e, lastPosition, entryPosition.getJournalName(), entryPosition.getPosition());
return false;
}
return running;
}
});
// 判断一下找到的最接近position的事务头的位置
if (preTransactionStartPosition.get() > entryPosition.getPosition()) {
logger.error("preTransactionEndPosition greater than startPosition from zk or localconf, maybe lost data");
throw new CanalParseException("preTransactionStartPosition greater than startPosition from zk or localconf, maybe lost data");
}
return preTransactionStartPosition.get();
}
|
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] |
主要考虑一个事务执行时间可能会几秒种,如果仅仅按照timestamp相同,则可能会丢失事务的前半部分数据
|
[
"主要考虑一个事务执行时间可能会几秒种,如果仅仅按照timestamp相同,则可能会丢失事务的前半部分数据"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlEventParser.java#L525-L568
|
train
|
Find transaction begin position.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/KeyedStream.java
|
KeyedStream.asQueryableState
|
@PublicEvolving
@Deprecated
public <ACC> QueryableStateStream<KEY, ACC> asQueryableState(
String queryableStateName,
FoldingStateDescriptor<T, ACC> stateDescriptor) {
transform("Queryable state: " + queryableStateName,
getType(),
new QueryableAppendingStateOperator<>(queryableStateName, stateDescriptor));
stateDescriptor.initializeSerializerUnlessSet(getExecutionConfig());
return new QueryableStateStream<>(
queryableStateName,
stateDescriptor,
getKeyType().createSerializer(getExecutionConfig()));
}
|
java
|
@PublicEvolving
@Deprecated
public <ACC> QueryableStateStream<KEY, ACC> asQueryableState(
String queryableStateName,
FoldingStateDescriptor<T, ACC> stateDescriptor) {
transform("Queryable state: " + queryableStateName,
getType(),
new QueryableAppendingStateOperator<>(queryableStateName, stateDescriptor));
stateDescriptor.initializeSerializerUnlessSet(getExecutionConfig());
return new QueryableStateStream<>(
queryableStateName,
stateDescriptor,
getKeyType().createSerializer(getExecutionConfig()));
}
|
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] |
Publishes the keyed stream as a queryable FoldingState instance.
@param queryableStateName Name under which to the publish the queryable state instance
@param stateDescriptor State descriptor to create state instance from
@return Queryable state instance
@deprecated will be removed in a future version
|
[
"Publishes",
"the",
"keyed",
"stream",
"as",
"a",
"queryable",
"FoldingState",
"instance",
"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/KeyedStream.java#L1045-L1061
|
train
|
Returns a new QueryableStateStream with the given name and state descriptor.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.zip
|
public static <K, V> Map<K, V> zip(Collection<K> keys, Collection<V> values) {
if (isEmpty(keys) || isEmpty(values)) {
return null;
}
final List<K> keyList = new ArrayList<K>(keys);
final List<V> valueList = new ArrayList<V>(values);
final int size = Math.min(keys.size(), values.size());
final Map<K, V> map = new HashMap<K, V>((int) (size / 0.75));
for (int i = 0; i < size; i++) {
map.put(keyList.get(i), valueList.get(i));
}
return map;
}
|
java
|
public static <K, V> Map<K, V> zip(Collection<K> keys, Collection<V> values) {
if (isEmpty(keys) || isEmpty(values)) {
return null;
}
final List<K> keyList = new ArrayList<K>(keys);
final List<V> valueList = new ArrayList<V>(values);
final int size = Math.min(keys.size(), values.size());
final Map<K, V> map = new HashMap<K, V>((int) (size / 0.75));
for (int i = 0; i < size; i++) {
map.put(keyList.get(i), valueList.get(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> 键类型
@param <V> 值类型
@param keys 键列表
@param values 值列表
@return Map
|
[
"映射键值(参考Python的zip",
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"<br",
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"c",
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"d",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L1486-L1501
|
train
|
Creates a map of the specified elements from the specified collections.
|
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/webservices/client/WebServiceTemplateBuilder.java
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WebServiceTemplateBuilder.additionalInterceptors
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java
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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train
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metrics/src/main/java/io/dropwizard/metrics/InstrumentedExecutorService.java
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InstrumentedExecutorService.submit
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@Nonnull
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java
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@Nonnull
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
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train
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java
|
StateDescriptor.setQueryable
|
public void setQueryable(String queryableStateName) {
Preconditions.checkArgument(
ttlConfig.getUpdateType() == StateTtlConfig.UpdateType.Disabled,
"Queryable state is currently not supported with TTL");
if (this.queryableStateName == null) {
this.queryableStateName = Preconditions.checkNotNull(queryableStateName, "Registration name");
} else {
throw new IllegalStateException("Queryable state name already set");
}
}
|
java
|
public void setQueryable(String queryableStateName) {
Preconditions.checkArgument(
ttlConfig.getUpdateType() == StateTtlConfig.UpdateType.Disabled,
"Queryable state is currently not supported with TTL");
if (this.queryableStateName == null) {
this.queryableStateName = Preconditions.checkNotNull(queryableStateName, "Registration name");
} else {
throw new IllegalStateException("Queryable state name already set");
}
}
|
[
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Sets the name for queries of state created from this descriptor.
<p>If a name is set, the created state will be published for queries
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@param queryableStateName State name for queries (unique name per job)
@throws IllegalStateException If queryable state name already set
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java#L211-L220
|
train
|
Sets the queryable state name.
|
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getFixString
|
public final String getFixString(final int pos, final int len, String charsetName) {
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final int from = origin + pos;
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try {
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throw new IllegalArgumentException("Unsupported encoding: " + charsetName, e);
}
}
|
java
|
public final String getFixString(final int pos, final int len, String charsetName) {
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int found = from;
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try {
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} catch (UnsupportedEncodingException e) {
throw new IllegalArgumentException("Unsupported encoding: " + charsetName, e);
}
}
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Return fix length string from buffer.
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] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L1061-L1077
|
train
|
Gets a string in the buffer starting at pos with len characters.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/typeutils/BinaryRowSerializer.java
|
BinaryRowSerializer.checkSkipReadForFixLengthPart
|
public void checkSkipReadForFixLengthPart(AbstractPagedInputView source) throws IOException {
// skip if there is no enough size.
// Note: Use currentSegmentLimit instead of segmentSize.
int available = source.getCurrentSegmentLimit() - source.getCurrentPositionInSegment();
if (available < getSerializedRowFixedPartLength()) {
source.advance();
}
}
|
java
|
public void checkSkipReadForFixLengthPart(AbstractPagedInputView source) throws IOException {
// skip if there is no enough size.
// Note: Use currentSegmentLimit instead of segmentSize.
int available = source.getCurrentSegmentLimit() - source.getCurrentPositionInSegment();
if (available < getSerializedRowFixedPartLength()) {
source.advance();
}
}
|
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We need skip bytes to read when the remain bytes of current segment is not
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/typeutils/BinaryRowSerializer.java#L298-L305
|
train
|
Check if skip read for fix length part.
|
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30526
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apache/spark
|
launcher/src/main/java/org/apache/spark/launcher/OutputRedirector.java
|
OutputRedirector.containsIgnoreCase
|
private static boolean containsIgnoreCase(String str, String searchStr) {
if (str == null || searchStr == null) {
return false;
}
int len = searchStr.length();
int max = str.length() - len;
for (int i = 0; i <= max; i++) {
if (str.regionMatches(true, i, searchStr, 0, len)) {
return true;
}
}
return false;
}
|
java
|
private static boolean containsIgnoreCase(String str, String searchStr) {
if (str == null || searchStr == null) {
return false;
}
int len = searchStr.length();
int max = str.length() - len;
for (int i = 0; i <= max; i++) {
if (str.regionMatches(true, i, searchStr, 0, len)) {
return true;
}
}
return false;
}
|
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Copied from Apache Commons Lang {@code StringUtils#containsIgnoreCase(String, String)}
|
[
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] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/OutputRedirector.java#L100-L112
|
train
|
Checks if the string contains the search string ignoring case.
|
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/SocketClientSink.java
|
SocketClientSink.open
|
@Override
public void open(Configuration parameters) throws Exception {
try {
synchronized (lock) {
createConnection();
}
}
catch (IOException e) {
throw new IOException("Cannot connect to socket server at " + hostName + ":" + port, e);
}
}
|
java
|
@Override
public void open(Configuration parameters) throws Exception {
try {
synchronized (lock) {
createConnection();
}
}
catch (IOException e) {
throw new IOException("Cannot connect to socket server at " + hostName + ":" + port, e);
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/SocketClientSink.java#L125-L135
|
train
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|
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looly/hutool
|
hutool-script/src/main/java/cn/hutool/script/FullSupportScriptEngine.java
|
FullSupportScriptEngine.compile
|
@Override
public CompiledScript compile(String script) throws ScriptException {
return ((Compilable) engine).compile(script);
}
|
java
|
@Override
public CompiledScript compile(String script) throws ScriptException {
return ((Compilable) engine).compile(script);
}
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----------------------------------------------------------------------------------------------- Compilable
|
[
"-----------------------------------------------------------------------------------------------",
"Compilable"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-script/src/main/java/cn/hutool/script/FullSupportScriptEngine.java#L78-L81
|
train
|
Compile a script.
|
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/lexer/Lexer.java
|
Lexer.nextToken
|
public final void nextToken() {
skipIgnoredToken();
if (isVariableBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanVariable();
} else if (isNCharBegin()) {
currentToken = new Tokenizer(input, dictionary, ++offset).scanChars();
} else if (isIdentifierBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanIdentifier();
} else if (isHexDecimalBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanHexDecimal();
} else if (isNumberBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanNumber();
} else if (isSymbolBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanSymbol();
} else if (isCharsBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanChars();
} else if (isEnd()) {
currentToken = new Token(Assist.END, "", offset);
} else {
throw new SQLParsingException(this, Assist.ERROR);
}
offset = currentToken.getEndPosition();
}
|
java
|
public final void nextToken() {
skipIgnoredToken();
if (isVariableBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanVariable();
} else if (isNCharBegin()) {
currentToken = new Tokenizer(input, dictionary, ++offset).scanChars();
} else if (isIdentifierBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanIdentifier();
} else if (isHexDecimalBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanHexDecimal();
} else if (isNumberBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanNumber();
} else if (isSymbolBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanSymbol();
} else if (isCharsBegin()) {
currentToken = new Tokenizer(input, dictionary, offset).scanChars();
} else if (isEnd()) {
currentToken = new Token(Assist.END, "", offset);
} else {
throw new SQLParsingException(this, Assist.ERROR);
}
offset = currentToken.getEndPosition();
}
|
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Analyse next token.
|
[
"Analyse",
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"token",
"."
] |
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/Lexer.java#L50-L72
|
train
|
Method nextToken.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/summary/KeywordExtractor.java
|
KeywordExtractor.getKeywords
|
public List<String> getKeywords(String document, int size)
{
return getKeywords(defaultSegment.seg(document), size);
}
|
java
|
public List<String> getKeywords(String document, int size)
{
return getKeywords(defaultSegment.seg(document), size);
}
|
[
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"defaultSegment",
".",
"seg",
"(",
"document",
")",
",",
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")",
";",
"}"
] |
提取关键词
@param document 关键词
@param size 需要几个关键词
@return
|
[
"提取关键词"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/summary/KeywordExtractor.java#L81-L84
|
train
|
Get the words of a document.
|
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java
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HttpHeaders.addIntHeader
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@Deprecated
public static void addIntHeader(HttpMessage message, CharSequence name, int value) {
message.headers().addInt(name, value);
}
|
java
|
@Deprecated
public static void addIntHeader(HttpMessage message, CharSequence name, int value) {
message.headers().addInt(name, value);
}
|
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@deprecated Use {@link #addInt(CharSequence, int)} instead.
Adds a new integer header with the specified name and value.
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java#L816-L819
|
train
|
Add an int header to the message.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java
|
ReflectUtil.newInstanceIfPossible
|
public static <T> T newInstanceIfPossible(Class<T> beanClass) {
Assert.notNull(beanClass);
try {
return newInstance(beanClass);
} catch (Exception e) {
// ignore
// 默认构造不存在的情况下查找其它构造
}
final Constructor<T>[] constructors = getConstructors(beanClass);
Class<?>[] parameterTypes;
for (Constructor<T> constructor : constructors) {
parameterTypes = constructor.getParameterTypes();
if (0 == parameterTypes.length) {
continue;
}
constructor.setAccessible(true);
try {
return constructor.newInstance(ClassUtil.getDefaultValues(parameterTypes));
} catch (Exception e) {
// 构造出错时继续尝试下一种构造方式
continue;
}
}
return null;
}
|
java
|
public static <T> T newInstanceIfPossible(Class<T> beanClass) {
Assert.notNull(beanClass);
try {
return newInstance(beanClass);
} catch (Exception e) {
// ignore
// 默认构造不存在的情况下查找其它构造
}
final Constructor<T>[] constructors = getConstructors(beanClass);
Class<?>[] parameterTypes;
for (Constructor<T> constructor : constructors) {
parameterTypes = constructor.getParameterTypes();
if (0 == parameterTypes.length) {
continue;
}
constructor.setAccessible(true);
try {
return constructor.newInstance(ClassUtil.getDefaultValues(parameterTypes));
} catch (Exception e) {
// 构造出错时继续尝试下一种构造方式
continue;
}
}
return null;
}
|
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尝试遍历并调用此类的所有构造方法,直到构造成功并返回
@param <T> 对象类型
@param beanClass 被构造的类
@return 构造后的对象
|
[
"尝试遍历并调用此类的所有构造方法,直到构造成功并返回"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L698-L723
|
train
|
Creates a new instance of the specified class by looking for constructors and default values.
|
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flink-core/src/main/java/org/apache/flink/api/common/typeutils/TypeSerializerUtils.java
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TypeSerializerUtils.configureForBackwardsCompatibility
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@SuppressWarnings({"unchecked", "deprecation"})
private static <T> TypeSerializerSnapshot<T> configureForBackwardsCompatibility(
TypeSerializerSnapshot<?> snapshot,
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TypeSerializerSnapshot<T> typedSnapshot = (TypeSerializerSnapshot<T>) snapshot;
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if (snapshot instanceof TypeSerializerConfigSnapshot) {
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return typedSnapshot;
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java
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@SuppressWarnings({"unchecked", "deprecation"})
private static <T> TypeSerializerSnapshot<T> configureForBackwardsCompatibility(
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TypeSerializer<?> serializer) {
TypeSerializerSnapshot<T> typedSnapshot = (TypeSerializerSnapshot<T>) snapshot;
TypeSerializer<T> typedSerializer = (TypeSerializer<T>) serializer;
if (snapshot instanceof TypeSerializerConfigSnapshot) {
((TypeSerializerConfigSnapshot<T>) typedSnapshot).setPriorSerializer(typedSerializer);
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return typedSnapshot;
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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netty/netty
|
codec/src/main/java/io/netty/handler/codec/LineBasedFrameDecoder.java
|
LineBasedFrameDecoder.decode
|
protected Object decode(ChannelHandlerContext ctx, ByteBuf buffer) throws Exception {
final int eol = findEndOfLine(buffer);
if (!discarding) {
if (eol >= 0) {
final ByteBuf frame;
final int length = eol - buffer.readerIndex();
final int delimLength = buffer.getByte(eol) == '\r'? 2 : 1;
if (length > maxLength) {
buffer.readerIndex(eol + delimLength);
fail(ctx, length);
return null;
}
if (stripDelimiter) {
frame = buffer.readRetainedSlice(length);
buffer.skipBytes(delimLength);
} else {
frame = buffer.readRetainedSlice(length + delimLength);
}
return frame;
} else {
final int length = buffer.readableBytes();
if (length > maxLength) {
discardedBytes = length;
buffer.readerIndex(buffer.writerIndex());
discarding = true;
offset = 0;
if (failFast) {
fail(ctx, "over " + discardedBytes);
}
}
return null;
}
} else {
if (eol >= 0) {
final int length = discardedBytes + eol - buffer.readerIndex();
final int delimLength = buffer.getByte(eol) == '\r'? 2 : 1;
buffer.readerIndex(eol + delimLength);
discardedBytes = 0;
discarding = false;
if (!failFast) {
fail(ctx, length);
}
} else {
discardedBytes += buffer.readableBytes();
buffer.readerIndex(buffer.writerIndex());
// We skip everything in the buffer, we need to set the offset to 0 again.
offset = 0;
}
return null;
}
}
|
java
|
protected Object decode(ChannelHandlerContext ctx, ByteBuf buffer) throws Exception {
final int eol = findEndOfLine(buffer);
if (!discarding) {
if (eol >= 0) {
final ByteBuf frame;
final int length = eol - buffer.readerIndex();
final int delimLength = buffer.getByte(eol) == '\r'? 2 : 1;
if (length > maxLength) {
buffer.readerIndex(eol + delimLength);
fail(ctx, length);
return null;
}
if (stripDelimiter) {
frame = buffer.readRetainedSlice(length);
buffer.skipBytes(delimLength);
} else {
frame = buffer.readRetainedSlice(length + delimLength);
}
return frame;
} else {
final int length = buffer.readableBytes();
if (length > maxLength) {
discardedBytes = length;
buffer.readerIndex(buffer.writerIndex());
discarding = true;
offset = 0;
if (failFast) {
fail(ctx, "over " + discardedBytes);
}
}
return null;
}
} else {
if (eol >= 0) {
final int length = discardedBytes + eol - buffer.readerIndex();
final int delimLength = buffer.getByte(eol) == '\r'? 2 : 1;
buffer.readerIndex(eol + delimLength);
discardedBytes = 0;
discarding = false;
if (!failFast) {
fail(ctx, length);
}
} else {
discardedBytes += buffer.readableBytes();
buffer.readerIndex(buffer.writerIndex());
// We skip everything in the buffer, we need to set the offset to 0 again.
offset = 0;
}
return null;
}
}
|
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] |
Create a frame out of the {@link ByteBuf} and return it.
@param ctx the {@link ChannelHandlerContext} which this {@link ByteToMessageDecoder} belongs to
@param buffer the {@link ByteBuf} from which to read data
@return frame the {@link ByteBuf} which represent the frame or {@code null} if no frame could
be created.
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/LineBasedFrameDecoder.java#L98-L151
|
train
|
Decodes the message.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/library/similarity/AdamicAdar.java
|
AdamicAdar.setMinimumScore
|
public AdamicAdar<K, VV, EV> setMinimumScore(float score) {
Preconditions.checkArgument(score >= 0, "Minimum score must be non-negative");
this.minimumScore = score;
return this;
}
|
java
|
public AdamicAdar<K, VV, EV> setMinimumScore(float score) {
Preconditions.checkArgument(score >= 0, "Minimum score must be non-negative");
this.minimumScore = score;
return this;
}
|
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Filter out Adamic-Adar scores less than the given minimum.
@param score minimum score
@return this
|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/library/similarity/AdamicAdar.java#L94-L100
|
train
|
Sets the minimum score.
|
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networknt/light-4j
|
client/src/main/java/org/apache/hc/core5/http/message/copied/TokenParser.java
|
TokenParser.skipWhiteSpace
|
public void skipWhiteSpace(final CharSequence buf, final ParserCursor cursor) {
Args.notNull(buf, "Char sequence");
Args.notNull(cursor, "Parser cursor");
int pos = cursor.getPos();
final int indexFrom = cursor.getPos();
final int indexTo = cursor.getUpperBound();
for (int i = indexFrom; i < indexTo; i++) {
final char current = buf.charAt(i);
if (!isWhitespace(current)) {
break;
}
pos++;
}
cursor.updatePos(pos);
}
|
java
|
public void skipWhiteSpace(final CharSequence buf, final ParserCursor cursor) {
Args.notNull(buf, "Char sequence");
Args.notNull(cursor, "Parser cursor");
int pos = cursor.getPos();
final int indexFrom = cursor.getPos();
final int indexTo = cursor.getUpperBound();
for (int i = indexFrom; i < indexTo; i++) {
final char current = buf.charAt(i);
if (!isWhitespace(current)) {
break;
}
pos++;
}
cursor.updatePos(pos);
}
|
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Skips semantically insignificant whitespace characters and moves the cursor to the closest
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@param buf buffer with the sequence of chars to be parsed
@param cursor defines the bounds and current position of the buffer
|
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/client/src/main/java/org/apache/hc/core5/http/message/copied/TokenParser.java#L138-L152
|
train
|
Skip whitespace from the char sequence.
|
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30526
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MultipleIdsMessageAcknowledgingSourceBase.java
|
MultipleIdsMessageAcknowledgingSourceBase.snapshotState
|
@Override
public void snapshotState(FunctionSnapshotContext context) throws Exception {
sessionIdsPerSnapshot.add(new Tuple2<>(context.getCheckpointId(), sessionIds));
sessionIds = new ArrayList<>(64);
super.snapshotState(context);
}
|
java
|
@Override
public void snapshotState(FunctionSnapshotContext context) throws Exception {
sessionIdsPerSnapshot.add(new Tuple2<>(context.getCheckpointId(), sessionIds));
sessionIds = new ArrayList<>(64);
super.snapshotState(context);
}
|
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] |
------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MultipleIdsMessageAcknowledgingSourceBase.java#L139-L144
|
train
|
This method is called by the snapshot manager to add the session ids to the list of session ids to be snapshotted.
|
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