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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatServletWebServerFactory.java
|
TomcatServletWebServerFactory.setContextValves
|
public void setContextValves(Collection<? extends Valve> contextValves) {
Assert.notNull(contextValves, "Valves must not be null");
this.contextValves = new ArrayList<>(contextValves);
}
|
java
|
public void setContextValves(Collection<? extends Valve> contextValves) {
Assert.notNull(contextValves, "Valves must not be null");
this.contextValves = new ArrayList<>(contextValves);
}
|
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Set {@link Valve}s that should be applied to the Tomcat {@link Context}. Calling
this method will replace any existing valves.
@param contextValves the valves to set
|
[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatServletWebServerFactory.java#L521-L524
|
train
|
Sets the context valves.
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30526
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alibaba/canal
|
common/src/main/java/com/alibaba/otter/canal/common/utils/CommonUtils.java
|
CommonUtils.deleteDir
|
public static boolean deleteDir(File dirFile) {
if (!dirFile.exists()) {
return false;
}
if (dirFile.isFile()) {
return dirFile.delete();
} else {
File[] files = dirFile.listFiles();
if (files == null || files.length == 0) {
return dirFile.delete();
}
for (File file : files) {
deleteDir(file);
}
}
return dirFile.delete();
}
|
java
|
public static boolean deleteDir(File dirFile) {
if (!dirFile.exists()) {
return false;
}
if (dirFile.isFile()) {
return dirFile.delete();
} else {
File[] files = dirFile.listFiles();
if (files == null || files.length == 0) {
return dirFile.delete();
}
for (File file : files) {
deleteDir(file);
}
}
return dirFile.delete();
}
|
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删除文件夹
@param dirFile 文件夹对象
@return 是否删除成功
|
[
"删除文件夹"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/common/src/main/java/com/alibaba/otter/canal/common/utils/CommonUtils.java#L34-L52
|
train
|
Delete a directory.
|
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launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java
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CommandBuilderUtils.checkState
|
static void checkState(boolean check, String msg, Object... args) {
if (!check) {
throw new IllegalStateException(String.format(msg, args));
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}
|
java
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static void checkState(boolean check, String msg, Object... args) {
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java#L226-L230
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train
|
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|
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flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/utils/ParquetSchemaConverter.java
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ParquetSchemaConverter.toParquetType
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public static MessageType toParquetType(TypeInformation<?> typeInformation, boolean legacyMode) {
return (MessageType) convertField(null, typeInformation, Type.Repetition.OPTIONAL, legacyMode);
}
|
java
|
public static MessageType toParquetType(TypeInformation<?> typeInformation, boolean legacyMode) {
return (MessageType) convertField(null, typeInformation, Type.Repetition.OPTIONAL, legacyMode);
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Converts Flink Internal Type to Parquet schema.
@param typeInformation Flink type information
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/utils/ParquetSchemaConverter.java#L70-L72
|
train
|
Converts a Parquet type to a Java type.
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netty/netty
|
transport-native-unix-common/src/main/java/io/netty/channel/unix/FileDescriptor.java
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FileDescriptor.from
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public static FileDescriptor from(String path) throws IOException {
checkNotNull(path, "path");
int res = open(path);
if (res < 0) {
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return new FileDescriptor(res);
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|
java
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public static FileDescriptor from(String path) throws IOException {
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int res = open(path);
if (res < 0) {
throw newIOException("open", res);
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return new FileDescriptor(res);
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Open a new {@link FileDescriptor} for the given path.
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[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport-native-unix-common/src/main/java/io/netty/channel/unix/FileDescriptor.java#L208-L215
|
train
|
Gets a FileDescriptor from the specified path.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/HttpUtil.java
|
HttpUtil.getString
|
public static String getString(byte[] contentBytes, Charset charset, boolean isGetCharsetFromContent) throws IOException {
if (null == contentBytes) {
return null;
}
if (null == charset) {
charset = CharsetUtil.CHARSET_UTF_8;
}
String content = new String(contentBytes, charset);
if (isGetCharsetFromContent) {
final String charsetInContentStr = ReUtil.get(META_CHARSET_PATTERN, content, 1);
if (StrUtil.isNotBlank(charsetInContentStr)) {
Charset charsetInContent = null;
try {
charsetInContent = Charset.forName(charsetInContentStr);
} catch (Exception e) {
if (StrUtil.containsIgnoreCase(charsetInContentStr, "utf-8") || StrUtil.containsIgnoreCase(charsetInContentStr, "utf8")) {
charsetInContent = CharsetUtil.CHARSET_UTF_8;
} else if (StrUtil.containsIgnoreCase(charsetInContentStr, "gbk")) {
charsetInContent = CharsetUtil.CHARSET_GBK;
}
// ignore
}
if (null != charsetInContent && false == charset.equals(charsetInContent)) {
content = new String(contentBytes, charsetInContent);
}
}
}
return content;
}
|
java
|
public static String getString(byte[] contentBytes, Charset charset, boolean isGetCharsetFromContent) throws IOException {
if (null == contentBytes) {
return null;
}
if (null == charset) {
charset = CharsetUtil.CHARSET_UTF_8;
}
String content = new String(contentBytes, charset);
if (isGetCharsetFromContent) {
final String charsetInContentStr = ReUtil.get(META_CHARSET_PATTERN, content, 1);
if (StrUtil.isNotBlank(charsetInContentStr)) {
Charset charsetInContent = null;
try {
charsetInContent = Charset.forName(charsetInContentStr);
} catch (Exception e) {
if (StrUtil.containsIgnoreCase(charsetInContentStr, "utf-8") || StrUtil.containsIgnoreCase(charsetInContentStr, "utf8")) {
charsetInContent = CharsetUtil.CHARSET_UTF_8;
} else if (StrUtil.containsIgnoreCase(charsetInContentStr, "gbk")) {
charsetInContent = CharsetUtil.CHARSET_GBK;
}
// ignore
}
if (null != charsetInContent && false == charset.equals(charsetInContent)) {
content = new String(contentBytes, charsetInContent);
}
}
}
return content;
}
|
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] |
从流中读取内容<br>
首先尝试使用charset编码读取内容（如果为空默认UTF-8），如果isGetCharsetFromContent为true，则通过正则在正文中获取编码信息，转换为指定编码；
@param contentBytes 内容byte数组
@param charset 字符集
@param isGetCharsetFromContent 是否从返回内容中获得编码信息
@return 内容
@throws IOException IO异常
|
[
"从流中读取内容<br",
">",
"首先尝试使用charset编码读取内容（如果为空默认UTF",
"-",
"8），如果isGetCharsetFromContent为true，则通过正则在正文中获取编码信息，转换为指定编码；"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpUtil.java#L694-L723
|
train
|
Gets the string from the byte array.
|
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apache/flink
|
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/sharedbuffer/SharedBuffer.java
|
SharedBuffer.upsertEvent
|
void upsertEvent(EventId eventId, Lockable<V> event) {
this.eventsBufferCache.put(eventId, event);
}
|
java
|
void upsertEvent(EventId eventId, Lockable<V> event) {
this.eventsBufferCache.put(eventId, event);
}
|
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Inserts or updates an event in cache.
@param eventId id of the event
@param event event body
|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/sharedbuffer/SharedBuffer.java#L162-L164
|
train
|
Upsert an event in the cache.
|
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30526
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getUint16
|
public final int getUint16() {
if (position + 1 >= origin + limit) throw new IllegalArgumentException("limit excceed: "
+ (position - origin + 1));
byte[] buf = buffer;
return (0xff & buf[position++]) | ((0xff & buf[position++]) << 8);
}
|
java
|
public final int getUint16() {
if (position + 1 >= origin + limit) throw new IllegalArgumentException("limit excceed: "
+ (position - origin + 1));
byte[] buf = buffer;
return (0xff & buf[position++]) | ((0xff & buf[position++]) << 8);
}
|
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Return next 16-bit unsigned int from buffer. (little-endian)
@see mysql-5.1.60/include/my_global.h - uint2korr
|
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8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L288-L294
|
train
|
Gets a 16 - bit unsigned integer from the buffer.
|
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30526
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/websocketx/WebSocketServerHandshakerFactory.java
|
WebSocketServerHandshakerFactory.newHandshaker
|
public WebSocketServerHandshaker newHandshaker(HttpRequest req) {
CharSequence version = req.headers().get(HttpHeaderNames.SEC_WEBSOCKET_VERSION);
if (version != null) {
if (version.equals(WebSocketVersion.V13.toHttpHeaderValue())) {
// Version 13 of the wire protocol - RFC 6455 (version 17 of the draft hybi specification).
return new WebSocketServerHandshaker13(
webSocketURL, subprotocols, allowExtensions, maxFramePayloadLength, allowMaskMismatch);
} else if (version.equals(WebSocketVersion.V08.toHttpHeaderValue())) {
// Version 8 of the wire protocol - version 10 of the draft hybi specification.
return new WebSocketServerHandshaker08(
webSocketURL, subprotocols, allowExtensions, maxFramePayloadLength, allowMaskMismatch);
} else if (version.equals(WebSocketVersion.V07.toHttpHeaderValue())) {
// Version 8 of the wire protocol - version 07 of the draft hybi specification.
return new WebSocketServerHandshaker07(
webSocketURL, subprotocols, allowExtensions, maxFramePayloadLength, allowMaskMismatch);
} else {
return null;
}
} else {
// Assume version 00 where version header was not specified
return new WebSocketServerHandshaker00(webSocketURL, subprotocols, maxFramePayloadLength);
}
}
|
java
|
public WebSocketServerHandshaker newHandshaker(HttpRequest req) {
CharSequence version = req.headers().get(HttpHeaderNames.SEC_WEBSOCKET_VERSION);
if (version != null) {
if (version.equals(WebSocketVersion.V13.toHttpHeaderValue())) {
// Version 13 of the wire protocol - RFC 6455 (version 17 of the draft hybi specification).
return new WebSocketServerHandshaker13(
webSocketURL, subprotocols, allowExtensions, maxFramePayloadLength, allowMaskMismatch);
} else if (version.equals(WebSocketVersion.V08.toHttpHeaderValue())) {
// Version 8 of the wire protocol - version 10 of the draft hybi specification.
return new WebSocketServerHandshaker08(
webSocketURL, subprotocols, allowExtensions, maxFramePayloadLength, allowMaskMismatch);
} else if (version.equals(WebSocketVersion.V07.toHttpHeaderValue())) {
// Version 8 of the wire protocol - version 07 of the draft hybi specification.
return new WebSocketServerHandshaker07(
webSocketURL, subprotocols, allowExtensions, maxFramePayloadLength, allowMaskMismatch);
} else {
return null;
}
} else {
// Assume version 00 where version header was not specified
return new WebSocketServerHandshaker00(webSocketURL, subprotocols, maxFramePayloadLength);
}
}
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Instances a new handshaker
@return A new WebSocketServerHandshaker for the requested web socket version. Null if web
socket version is not supported.
|
[
"Instances",
"a",
"new",
"handshaker"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/websocketx/WebSocketServerHandshakerFactory.java#L114-L137
|
train
|
New handshaker implementation.
|
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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/types/valuearray/StringValueArray.java
|
StringValueArray.initialize
|
private void initialize(int bytes) {
Preconditions.checkArgument(bytes > 0, "Requested array with zero capacity");
Preconditions.checkArgument(bytes <= MAX_ARRAY_SIZE, "Requested capacity exceeds limit of " + MAX_ARRAY_SIZE);
data = new byte[bytes];
}
|
java
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private void initialize(int bytes) {
Preconditions.checkArgument(bytes > 0, "Requested array with zero capacity");
Preconditions.checkArgument(bytes <= MAX_ARRAY_SIZE, "Requested capacity exceeds limit of " + MAX_ARRAY_SIZE);
data = new byte[bytes];
}
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train
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spring-projects/spring-boot
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spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONArray.java
|
JSONArray.getInt
|
public int getInt(int index) throws JSONException {
Object object = get(index);
Integer result = JSON.toInteger(object);
if (result == null) {
throw JSON.typeMismatch(index, object, "int");
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return result;
}
|
java
|
public int getInt(int index) throws JSONException {
Object object = get(index);
Integer result = JSON.toInteger(object);
if (result == null) {
throw JSON.typeMismatch(index, object, "int");
}
return result;
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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-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONArray.java#L410-L417
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train
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Get the int value associated with an index.
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/SslHandler.java
|
SslHandler.isEncrypted
|
public static boolean isEncrypted(ByteBuf buffer) {
if (buffer.readableBytes() < SslUtils.SSL_RECORD_HEADER_LENGTH) {
throw new IllegalArgumentException(
"buffer must have at least " + SslUtils.SSL_RECORD_HEADER_LENGTH + " readable bytes");
}
return getEncryptedPacketLength(buffer, buffer.readerIndex()) != SslUtils.NOT_ENCRYPTED;
}
|
java
|
public static boolean isEncrypted(ByteBuf buffer) {
if (buffer.readableBytes() < SslUtils.SSL_RECORD_HEADER_LENGTH) {
throw new IllegalArgumentException(
"buffer must have at least " + SslUtils.SSL_RECORD_HEADER_LENGTH + " readable bytes");
}
return getEncryptedPacketLength(buffer, buffer.readerIndex()) != SslUtils.NOT_ENCRYPTED;
}
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Returns {@code true} if the given {@link ByteBuf} is encrypted. Be aware that this method
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The {@link ByteBuf} to read from. Be aware that it must have at least 5 bytes to read,
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@return encrypted
{@code true} if the {@link ByteBuf} is encrypted, {@code false} otherwise.
@throws IllegalArgumentException
Is thrown if the given {@link ByteBuf} has not at least 5 bytes to read.
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/SslHandler.java#L1181-L1187
|
train
|
Checks if the buffer contains encrypted data.
|
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alibaba/canal
|
driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/packets/UUIDSet.java
|
UUIDSet.parse
|
public static UUIDSet parse(String str) {
String[] ss = str.split(":");
if (ss.length < 2) {
throw new RuntimeException(String.format("parseUUIDSet failed due to wrong format: %s", str));
}
List<Interval> intervals = new ArrayList<Interval>();
for (int i = 1; i < ss.length; i++) {
intervals.add(parseInterval(ss[i]));
}
UUIDSet uuidSet = new UUIDSet();
uuidSet.SID = UUID.fromString(ss[0]);
uuidSet.intervals = combine(intervals);
return uuidSet;
}
|
java
|
public static UUIDSet parse(String str) {
String[] ss = str.split(":");
if (ss.length < 2) {
throw new RuntimeException(String.format("parseUUIDSet failed due to wrong format: %s", str));
}
List<Interval> intervals = new ArrayList<Interval>();
for (int i = 1; i < ss.length; i++) {
intervals.add(parseInterval(ss[i]));
}
UUIDSet uuidSet = new UUIDSet();
uuidSet.SID = UUID.fromString(ss[0]);
uuidSet.intervals = combine(intervals);
return uuidSet;
}
|
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"}"
] |
解析如下格式字符串为UUIDSet: 726757ad-4455-11e8-ae04-0242ac110002:1 => UUIDSet{SID:
726757ad-4455-11e8-ae04-0242ac110002, intervals: [{start:1, stop:2}]}
726757ad-4455-11e8-ae04-0242ac110002:1-3 => UUIDSet{SID:
726757ad-4455-11e8-ae04-0242ac110002, intervals: [{start:1, stop:4}]}
726757ad-4455-11e8-ae04-0242ac110002:1-3:4 UUIDSet{SID:
726757ad-4455-11e8-ae04-0242ac110002, intervals: [{start:1, stop:5}]}
726757ad-4455-11e8-ae04-0242ac110002:1-3:7-9 UUIDSet{SID:
726757ad-4455-11e8-ae04-0242ac110002, intervals: [{start:1, stop:4},
{start:7, stop:10}]}
@param str
@return
|
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] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/packets/UUIDSet.java#L101-L118
|
train
|
Parses a string of UUIDSet format.
|
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flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/types/valuearray/NullValueArray.java
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NullValueArray.compareTo
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@Override
public int compareTo(ValueArray<NullValue> o) {
NullValueArray other = (NullValueArray) o;
return Integer.compare(position, other.position);
}
|
java
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@Override
public int compareTo(ValueArray<NullValue> o) {
NullValueArray other = (NullValueArray) o;
return Integer.compare(position, other.position);
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--------------------------------------------------------------------------------------------
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[
"--------------------------------------------------------------------------------------------"
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/types/valuearray/NullValueArray.java#L147-L152
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train
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Compares two NullValueArrays in ascending order.
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apache/flink
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/DeweyNumber.java
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DeweyNumber.fromString
|
public static DeweyNumber fromString(final String deweyNumberString) {
String[] splits = deweyNumberString.split("\\.");
if (splits.length == 0) {
return new DeweyNumber(Integer.parseInt(deweyNumberString));
} else {
int[] deweyNumber = new int[splits.length];
for (int i = 0; i < splits.length; i++) {
deweyNumber[i] = Integer.parseInt(splits[i]);
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return new DeweyNumber(deweyNumber);
}
}
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java
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public static DeweyNumber fromString(final String deweyNumberString) {
String[] splits = deweyNumberString.split("\\.");
if (splits.length == 0) {
return new DeweyNumber(Integer.parseInt(deweyNumberString));
} else {
int[] deweyNumber = new int[splits.length];
for (int i = 0; i < splits.length; i++) {
deweyNumber[i] = Integer.parseInt(splits[i]);
}
return new DeweyNumber(deweyNumber);
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/DeweyNumber.java#L175-L189
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train
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Creates a DeweyNumber from a String.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.pressText
|
public static void pressText(Image srcImage, File destFile, String pressText, Color color, Font font, int x, int y, float alpha) throws IORuntimeException {
write(pressText(srcImage, pressText, color, font, x, y, alpha), destFile);
}
|
java
|
public static void pressText(Image srcImage, File destFile, String pressText, Color color, Font font, int x, int y, float alpha) throws IORuntimeException {
write(pressText(srcImage, pressText, color, font, x, y, alpha), destFile);
}
|
[
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] |
给图片添加文字水印<br>
此方法并不关闭流
@param srcImage 源图像
@param destFile 目标流
@param pressText 水印文字
@param color 水印的字体颜色
@param font {@link Font} 字体相关信息，如果默认则为{@code null}
@param x 修正值。 默认在中间，偏移量相对于中间偏移
@param y 修正值。 默认在中间，偏移量相对于中间偏移
@param alpha 透明度：alpha 必须是范围 [0.0, 1.0] 之内（包含边界值）的一个浮点数字
@throws IORuntimeException IO异常
@since 3.2.2
|
[
"给图片添加文字水印<br",
">",
"此方法并不关闭流"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L807-L809
|
train
|
Press text from srcImage to destFile using the specified color font and alpha.
|
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alibaba/canal
|
client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/service/ESSyncService.java
|
ESSyncService.insert
|
private void insert(ESSyncConfig config, Dml dml) {
List<Map<String, Object>> dataList = dml.getData();
if (dataList == null || dataList.isEmpty()) {
return;
}
SchemaItem schemaItem = config.getEsMapping().getSchemaItem();
for (Map<String, Object> data : dataList) {
if (data == null || data.isEmpty()) {
continue;
}
if (schemaItem.getAliasTableItems().size() == 1 && schemaItem.isAllFieldsSimple()) {
// ------单表 & 所有字段都为简单字段------
singleTableSimpleFiledInsert(config, dml, data);
} else {
// ------是主表 查询sql来插入------
if (schemaItem.getMainTable().getTableName().equalsIgnoreCase(dml.getTable())) {
mainTableInsert(config, dml, data);
}
// 从表的操作
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
if (!tableItem.getTableName().equals(dml.getTable())) {
continue;
}
// 关联条件出现在主表查询条件是否为简单字段
boolean allFieldsSimple = true;
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allFieldsSimple = false;
break;
}
}
// 所有查询字段均为简单字段
if (allFieldsSimple) {
// 不是子查询
if (!tableItem.isSubQuery()) {
// ------关联表简单字段插入------
Map<String, Object> esFieldData = new LinkedHashMap<>();
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
Object value = esTemplate.getValFromData(config.getEsMapping(),
data,
fieldItem.getFieldName(),
fieldItem.getColumn().getColumnName());
esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), value);
}
joinTableSimpleFieldOperation(config, dml, data, tableItem, esFieldData);
} else {
// ------关联子表简单字段插入------
subTableSimpleFieldOperation(config, dml, data, null, tableItem);
}
} else {
// ------关联子表复杂字段插入 执行全sql更新es------
wholeSqlOperation(config, dml, data, null, tableItem);
}
}
}
}
}
|
java
|
private void insert(ESSyncConfig config, Dml dml) {
List<Map<String, Object>> dataList = dml.getData();
if (dataList == null || dataList.isEmpty()) {
return;
}
SchemaItem schemaItem = config.getEsMapping().getSchemaItem();
for (Map<String, Object> data : dataList) {
if (data == null || data.isEmpty()) {
continue;
}
if (schemaItem.getAliasTableItems().size() == 1 && schemaItem.isAllFieldsSimple()) {
// ------单表 & 所有字段都为简单字段------
singleTableSimpleFiledInsert(config, dml, data);
} else {
// ------是主表 查询sql来插入------
if (schemaItem.getMainTable().getTableName().equalsIgnoreCase(dml.getTable())) {
mainTableInsert(config, dml, data);
}
// 从表的操作
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
if (!tableItem.getTableName().equals(dml.getTable())) {
continue;
}
// 关联条件出现在主表查询条件是否为简单字段
boolean allFieldsSimple = true;
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allFieldsSimple = false;
break;
}
}
// 所有查询字段均为简单字段
if (allFieldsSimple) {
// 不是子查询
if (!tableItem.isSubQuery()) {
// ------关联表简单字段插入------
Map<String, Object> esFieldData = new LinkedHashMap<>();
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
Object value = esTemplate.getValFromData(config.getEsMapping(),
data,
fieldItem.getFieldName(),
fieldItem.getColumn().getColumnName());
esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), value);
}
joinTableSimpleFieldOperation(config, dml, data, tableItem, esFieldData);
} else {
// ------关联子表简单字段插入------
subTableSimpleFieldOperation(config, dml, data, null, tableItem);
}
} else {
// ------关联子表复杂字段插入 执行全sql更新es------
wholeSqlOperation(config, dml, data, null, tableItem);
}
}
}
}
}
|
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] |
插入操作dml
@param config es配置
@param dml dml数据
|
[
"插入操作dml"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/service/ESSyncService.java#L123-L185
|
train
|
Insert DML.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/interactions/touch/TouchActions.java
|
TouchActions.down
|
public TouchActions down(int x, int y) {
if (touchScreen != null) {
action.addAction(new DownAction(touchScreen, x, y));
}
return this;
}
|
java
|
public TouchActions down(int x, int y) {
if (touchScreen != null) {
action.addAction(new DownAction(touchScreen, x, y));
}
return this;
}
|
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Allows the execution of the gesture 'down' on the screen. It is typically the first of a
sequence of touch gestures.
@param x The x coordinate relative to the viewport
@param y The y coordinate relative to the viewport
@return self
|
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/interactions/touch/TouchActions.java#L71-L76
|
train
|
Add a down touch screen action.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/AsynchronousFileIOChannel.java
|
AsynchronousFileIOChannel.handleProcessedBuffer
|
final protected void handleProcessedBuffer(T buffer, IOException ex) {
if (buffer == null) {
return;
}
// even if the callbacks throw an error, we need to maintain our bookkeeping
try {
if (ex != null && this.exception == null) {
this.exception = ex;
this.resultHandler.requestFailed(buffer, ex);
}
else {
this.resultHandler.requestSuccessful(buffer);
}
}
finally {
NotificationListener listener = null;
// Decrement the number of outstanding requests. If we are currently closing, notify the
// waiters. If there is a listener, notify her as well.
synchronized (this.closeLock) {
if (this.requestsNotReturned.decrementAndGet() == 0) {
if (this.closed) {
this.closeLock.notifyAll();
}
synchronized (listenerLock) {
listener = allRequestsProcessedListener;
allRequestsProcessedListener = null;
}
}
}
if (listener != null) {
listener.onNotification();
}
}
}
|
java
|
final protected void handleProcessedBuffer(T buffer, IOException ex) {
if (buffer == null) {
return;
}
// even if the callbacks throw an error, we need to maintain our bookkeeping
try {
if (ex != null && this.exception == null) {
this.exception = ex;
this.resultHandler.requestFailed(buffer, ex);
}
else {
this.resultHandler.requestSuccessful(buffer);
}
}
finally {
NotificationListener listener = null;
// Decrement the number of outstanding requests. If we are currently closing, notify the
// waiters. If there is a listener, notify her as well.
synchronized (this.closeLock) {
if (this.requestsNotReturned.decrementAndGet() == 0) {
if (this.closed) {
this.closeLock.notifyAll();
}
synchronized (listenerLock) {
listener = allRequestsProcessedListener;
allRequestsProcessedListener = null;
}
}
}
if (listener != null) {
listener.onNotification();
}
}
}
|
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Handles a processed <tt>Buffer</tt>. This method is invoked by the
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@param buffer The buffer to be processed.
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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/disk/iomanager/AsynchronousFileIOChannel.java#L188-L225
|
train
|
Handle the processing of a processed buffer.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/types/parser/FieldParser.java
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FieldParser.nextStringLength
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protected static final int nextStringLength(byte[] bytes, int startPos, int length, char delimiter) {
if (length <= 0) {
throw new IllegalArgumentException("Invalid input: Empty string");
}
int limitedLength = 0;
final byte delByte = (byte) delimiter;
while (limitedLength < length && bytes[startPos + limitedLength] != delByte) {
limitedLength++;
}
return limitedLength;
}
|
java
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protected static final int nextStringLength(byte[] bytes, int startPos, int length, char delimiter) {
if (length <= 0) {
throw new IllegalArgumentException("Invalid input: Empty string");
}
int limitedLength = 0;
final byte delByte = (byte) delimiter;
while (limitedLength < length && bytes[startPos + limitedLength] != delByte) {
limitedLength++;
}
return limitedLength;
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/parser/FieldParser.java#L230-L242
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Returns the length of the next string in the byte array starting at the given position.
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netty/netty
|
transport/src/main/java/io/netty/channel/AbstractCoalescingBufferQueue.java
|
AbstractCoalescingBufferQueue.removeFirst
|
public final ByteBuf removeFirst(ChannelPromise aggregatePromise) {
Object entry = bufAndListenerPairs.poll();
if (entry == null) {
return null;
}
assert entry instanceof ByteBuf;
ByteBuf result = (ByteBuf) entry;
decrementReadableBytes(result.readableBytes());
entry = bufAndListenerPairs.peek();
if (entry instanceof ChannelFutureListener) {
aggregatePromise.addListener((ChannelFutureListener) entry);
bufAndListenerPairs.poll();
}
return result;
}
|
java
|
public final ByteBuf removeFirst(ChannelPromise aggregatePromise) {
Object entry = bufAndListenerPairs.poll();
if (entry == null) {
return null;
}
assert entry instanceof ByteBuf;
ByteBuf result = (ByteBuf) entry;
decrementReadableBytes(result.readableBytes());
entry = bufAndListenerPairs.peek();
if (entry instanceof ChannelFutureListener) {
aggregatePromise.addListener((ChannelFutureListener) entry);
bufAndListenerPairs.poll();
}
return result;
}
|
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] |
Remove the first {@link ByteBuf} from the queue.
@param aggregatePromise used to aggregate the promises and listeners for the returned buffer.
@return the first {@link ByteBuf} from the queue.
|
[
"Remove",
"the",
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/AbstractCoalescingBufferQueue.java#L108-L124
|
train
|
Removes the first entry from the buffer.
|
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30526
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
|
DataSet.union
|
public UnionOperator<T> union(DataSet<T> other){
return new UnionOperator<>(this, other, Utils.getCallLocationName());
}
|
java
|
public UnionOperator<T> union(DataSet<T> other){
return new UnionOperator<>(this, other, Utils.getCallLocationName());
}
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Creates a union of this DataSet with an other DataSet. The other DataSet must be of the same data type.
@param other The other DataSet which is unioned with the current DataSet.
@return The resulting DataSet.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1241-L1243
|
train
|
Create a union operator from the given data set.
|
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looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONObject.java
|
JSONObject.put
|
@Override
public JSONObject put(String key, Object value) throws JSONException {
if (null == key) {
return this;
}
final boolean ignoreNullValue = this.config.isIgnoreNullValue();
if (ObjectUtil.isNull(value) && ignoreNullValue) {
// 忽略值模式下如果值为空清除key
this.remove(key);
} else {
InternalJSONUtil.testValidity(value);
this.rawHashMap.put(key, JSONUtil.wrap(value, ignoreNullValue));
}
return this;
}
|
java
|
@Override
public JSONObject put(String key, Object value) throws JSONException {
if (null == key) {
return this;
}
final boolean ignoreNullValue = this.config.isIgnoreNullValue();
if (ObjectUtil.isNull(value) && ignoreNullValue) {
// 忽略值模式下如果值为空清除key
this.remove(key);
} else {
InternalJSONUtil.testValidity(value);
this.rawHashMap.put(key, JSONUtil.wrap(value, ignoreNullValue));
}
return this;
}
|
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PUT 键值对到JSONObject中，如果值为<code>null</code>，将此键移除
@param key 键
@param value 值对象. 可以是以下类型: Boolean, Double, Integer, JSONArray, JSONObject, Long, String, or the JSONNull.NULL.
@return this.
@throws JSONException 值是无穷数字抛出此异常
|
[
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONObject.java#L379-L394
|
train
|
Add a value to the map.
|
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spring-boot-project/spring-boot-tools/spring-boot-loader-tools/src/main/java/org/springframework/boot/loader/tools/JarWriter.java
|
JarWriter.writeManifest
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public void writeManifest(Manifest manifest) throws IOException {
JarArchiveEntry entry = new JarArchiveEntry("META-INF/MANIFEST.MF");
writeEntry(entry, manifest::write);
}
|
java
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public void writeManifest(Manifest manifest) throws IOException {
JarArchiveEntry entry = new JarArchiveEntry("META-INF/MANIFEST.MF");
writeEntry(entry, manifest::write);
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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/JarWriter.java#L114-L117
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train
|
Write the manifest to the underlying file.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/dialect/DialectFactory.java
|
DialectFactory.newDialect
|
public static Dialect newDialect(String driverName) {
final Dialect dialect = internalNewDialect(driverName);
StaticLog.debug("Use Dialect: [{}].", dialect.getClass().getSimpleName());
return dialect;
}
|
java
|
public static Dialect newDialect(String driverName) {
final Dialect dialect = internalNewDialect(driverName);
StaticLog.debug("Use Dialect: [{}].", dialect.getClass().getSimpleName());
return dialect;
}
|
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] |
根据驱动名创建方言<br>
驱动名是不分区大小写完全匹配的
@param driverName JDBC驱动类名
@return 方言
|
[
"根据驱动名创建方言<br",
">",
"驱动名是不分区大小写完全匹配的"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/dialect/DialectFactory.java#L70-L74
|
train
|
Create a new instance of the specified Dialect class.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/ssh/Sftp.java
|
Sftp.put
|
public Sftp put(String srcFilePath, String destPath) {
return put(srcFilePath, destPath, Mode.OVERWRITE);
}
|
java
|
public Sftp put(String srcFilePath, String destPath) {
return put(srcFilePath, destPath, Mode.OVERWRITE);
}
|
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将本地文件上传到目标服务器，目标文件名为destPath，若destPath为目录，则目标文件名将与srcFilePath文件名相同。覆盖模式
@param srcFilePath 本地文件路径
@param destPath 目标路径，
@return this
|
[
"将本地文件上传到目标服务器，目标文件名为destPath，若destPath为目录，则目标文件名将与srcFilePath文件名相同。覆盖模式"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/ssh/Sftp.java#L363-L365
|
train
|
Uploads a file to the remote host overwriting the existing file.
|
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netty/netty
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codec-http2/src/main/java/io/netty/handler/codec/http2/Http2ConnectionHandler.java
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Http2ConnectionHandler.onConnectionError
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protected void onConnectionError(ChannelHandlerContext ctx, boolean outbound,
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if (http2Ex == null) {
http2Ex = new Http2Exception(INTERNAL_ERROR, cause.getMessage(), cause);
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}
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java
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protected void onConnectionError(ChannelHandlerContext ctx, boolean outbound,
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doGracefulShutdown(ctx, future, promise);
} else {
future.addListener(new ClosingChannelFutureListener(ctx, promise));
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}
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@param cause the exception that was caught
@param http2Ex the {@link Http2Exception} that is embedded in the causality chain. This may
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|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/Http2ConnectionHandler.java#L657-L670
|
train
|
Handle a connection error.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/text/csv/CsvWriter.java
|
CsvWriter.appendLine
|
private void appendLine(final String... fields) throws IORuntimeException {
try {
doAppendLine(fields);
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
java
|
private void appendLine(final String... fields) throws IORuntimeException {
try {
doAppendLine(fields);
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
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追加一行，末尾会自动换行，但是追加前不会换行
@param fields 字段列表 ({@code null} 值会被做为空值追加)
@throws IORuntimeException IO异常
|
[
"追加一行，末尾会自动换行，但是追加前不会换行"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/text/csv/CsvWriter.java#L233-L239
|
train
|
Append a line to the output.
|
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30526
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java
|
ClusterAnalyzer.preprocess
|
protected List<String> preprocess(String document)
{
List<Term> termList = segment.seg(document);
ListIterator<Term> listIterator = termList.listIterator();
while (listIterator.hasNext())
{
Term term = listIterator.next();
if (CoreStopWordDictionary.contains(term.word) ||
term.nature.startsWith("w")
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listIterator.remove();
}
}
List<String> wordList = new ArrayList<String>(termList.size());
for (Term term : termList)
{
wordList.add(term.word);
}
return wordList;
}
|
java
|
protected List<String> preprocess(String document)
{
List<Term> termList = segment.seg(document);
ListIterator<Term> listIterator = termList.listIterator();
while (listIterator.hasNext())
{
Term term = listIterator.next();
if (CoreStopWordDictionary.contains(term.word) ||
term.nature.startsWith("w")
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listIterator.remove();
}
}
List<String> wordList = new ArrayList<String>(termList.size());
for (Term term : termList)
{
wordList.add(term.word);
}
return wordList;
}
|
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重载此方法实现自己的预处理逻辑（预处理、分词、去除停用词）
@param document 文档
@return 单词列表
|
[
"重载此方法实现自己的预处理逻辑（预处理、分词、去除停用词）"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java#L65-L85
|
train
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Preprocessing method.
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apache/flink
|
flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ClosableBlockingQueue.java
|
ClosableBlockingQueue.getBatchBlocking
|
public List<E> getBatchBlocking(long timeoutMillis) throws InterruptedException {
if (timeoutMillis == 0L) {
// wait forever case
return getBatchBlocking();
} else if (timeoutMillis < 0L) {
throw new IllegalArgumentException("invalid timeout");
}
final long deadline = System.nanoTime() + timeoutMillis * 1_000_000L;
lock.lock();
try {
while (open && elements.isEmpty() && timeoutMillis > 0) {
nonEmpty.await(timeoutMillis, TimeUnit.MILLISECONDS);
timeoutMillis = (deadline - System.nanoTime()) / 1_000_000L;
}
if (!open) {
throw new IllegalStateException("queue is closed");
}
else if (elements.isEmpty()) {
return Collections.emptyList();
}
else {
ArrayList<E> result = new ArrayList<>(elements);
elements.clear();
return result;
}
} finally {
lock.unlock();
}
}
|
java
|
public List<E> getBatchBlocking(long timeoutMillis) throws InterruptedException {
if (timeoutMillis == 0L) {
// wait forever case
return getBatchBlocking();
} else if (timeoutMillis < 0L) {
throw new IllegalArgumentException("invalid timeout");
}
final long deadline = System.nanoTime() + timeoutMillis * 1_000_000L;
lock.lock();
try {
while (open && elements.isEmpty() && timeoutMillis > 0) {
nonEmpty.await(timeoutMillis, TimeUnit.MILLISECONDS);
timeoutMillis = (deadline - System.nanoTime()) / 1_000_000L;
}
if (!open) {
throw new IllegalStateException("queue is closed");
}
else if (elements.isEmpty()) {
return Collections.emptyList();
}
else {
ArrayList<E> result = new ArrayList<>(elements);
elements.clear();
return result;
}
} finally {
lock.unlock();
}
}
|
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Gets all the elements found in the list, or blocks until at least one element
was added. This method is similar as {@link #getBatchBlocking()}, but takes
a number of milliseconds that the method will maximally wait before returning.
<p>This method never returns null, but an empty list, if the queue is empty when
the method is called and the request times out before an element was added.
<p>The method throws an {@code IllegalStateException} if the queue is closed.
Checking whether the queue is open and removing the next element is one atomic operation.
@param timeoutMillis The number of milliseconds to wait, at most.
@return A list with all elements in the queue, possible an empty list.
@throws IllegalStateException Thrown, if the queue is closed.
@throws InterruptedException Throw, if the thread is interrupted while waiting for an
element to be added.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ClosableBlockingQueue.java#L434-L465
|
train
|
Get a list of elements from the queue blocking until all elements are added to the queue.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/text/StrBuilder.java
|
StrBuilder.insert
|
public StrBuilder insert(int index, char[] src, int srcPos, int length) {
if (ArrayUtil.isEmpty(src) || srcPos > src.length || length <= 0) {
return this;
}
if (index < 0) {
index = 0;
}
if (srcPos < 0) {
srcPos = 0;
} else if (srcPos + length > src.length) {
// 长度越界，只截取最大长度
length = src.length - srcPos;
}
moveDataAfterIndex(index, length);
// 插入数据
System.arraycopy(src, srcPos, value, index, length);
this.position = Math.max(this.position, index) + length;
return this;
}
|
java
|
public StrBuilder insert(int index, char[] src, int srcPos, int length) {
if (ArrayUtil.isEmpty(src) || srcPos > src.length || length <= 0) {
return this;
}
if (index < 0) {
index = 0;
}
if (srcPos < 0) {
srcPos = 0;
} else if (srcPos + length > src.length) {
// 长度越界，只截取最大长度
length = src.length - srcPos;
}
moveDataAfterIndex(index, length);
// 插入数据
System.arraycopy(src, srcPos, value, index, length);
this.position = Math.max(this.position, index) + length;
return this;
}
|
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指定位置插入数据<br>
如果插入位置为当前位置，则定义为追加<br>
如果插入位置大于当前位置，则中间部分补充空格
@param index 插入位置
@param src 源数组
@param srcPos 位置
@param length 长度
@return this
|
[
"指定位置插入数据<br",
">",
"如果插入位置为当前位置，则定义为追加<br",
">",
"如果插入位置大于当前位置，则中间部分补充空格"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/text/StrBuilder.java#L197-L216
|
train
|
Inserts a portion of the specified array into this builder.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java
|
ParameterTool.mergeWith
|
public ParameterTool mergeWith(ParameterTool other) {
final Map<String, String> resultData = new HashMap<>(data.size() + other.data.size());
resultData.putAll(data);
resultData.putAll(other.data);
final ParameterTool ret = new ParameterTool(resultData);
final HashSet<String> requestedParametersLeft = new HashSet<>(data.keySet());
requestedParametersLeft.removeAll(unrequestedParameters);
final HashSet<String> requestedParametersRight = new HashSet<>(other.data.keySet());
requestedParametersRight.removeAll(other.unrequestedParameters);
ret.unrequestedParameters.removeAll(requestedParametersLeft);
ret.unrequestedParameters.removeAll(requestedParametersRight);
return ret;
}
|
java
|
public ParameterTool mergeWith(ParameterTool other) {
final Map<String, String> resultData = new HashMap<>(data.size() + other.data.size());
resultData.putAll(data);
resultData.putAll(other.data);
final ParameterTool ret = new ParameterTool(resultData);
final HashSet<String> requestedParametersLeft = new HashSet<>(data.keySet());
requestedParametersLeft.removeAll(unrequestedParameters);
final HashSet<String> requestedParametersRight = new HashSet<>(other.data.keySet());
requestedParametersRight.removeAll(other.unrequestedParameters);
ret.unrequestedParameters.removeAll(requestedParametersLeft);
ret.unrequestedParameters.removeAll(requestedParametersRight);
return ret;
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/ParameterTool.java#L552-L569
|
train
|
Merge two parameter tools.
|
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30526
] |
apache/spark
|
core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
|
TaskMemoryManager.showMemoryUsage
|
public void showMemoryUsage() {
logger.info("Memory used in task " + taskAttemptId);
synchronized (this) {
long memoryAccountedForByConsumers = 0;
for (MemoryConsumer c: consumers) {
long totalMemUsage = c.getUsed();
memoryAccountedForByConsumers += totalMemUsage;
if (totalMemUsage > 0) {
logger.info("Acquired by " + c + ": " + Utils.bytesToString(totalMemUsage));
}
}
long memoryNotAccountedFor =
memoryManager.getExecutionMemoryUsageForTask(taskAttemptId) - memoryAccountedForByConsumers;
logger.info(
"{} bytes of memory were used by task {} but are not associated with specific consumers",
memoryNotAccountedFor, taskAttemptId);
logger.info(
"{} bytes of memory are used for execution and {} bytes of memory are used for storage",
memoryManager.executionMemoryUsed(), memoryManager.storageMemoryUsed());
}
}
|
java
|
public void showMemoryUsage() {
logger.info("Memory used in task " + taskAttemptId);
synchronized (this) {
long memoryAccountedForByConsumers = 0;
for (MemoryConsumer c: consumers) {
long totalMemUsage = c.getUsed();
memoryAccountedForByConsumers += totalMemUsage;
if (totalMemUsage > 0) {
logger.info("Acquired by " + c + ": " + Utils.bytesToString(totalMemUsage));
}
}
long memoryNotAccountedFor =
memoryManager.getExecutionMemoryUsageForTask(taskAttemptId) - memoryAccountedForByConsumers;
logger.info(
"{} bytes of memory were used by task {} but are not associated with specific consumers",
memoryNotAccountedFor, taskAttemptId);
logger.info(
"{} bytes of memory are used for execution and {} bytes of memory are used for storage",
memoryManager.executionMemoryUsed(), memoryManager.storageMemoryUsed());
}
}
|
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Dump the memory usage of all consumers.
|
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] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L244-L264
|
train
|
Show the memory usage of the task.
|
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apache/flink
|
flink-connectors/flink-connector-rabbitmq/src/main/java/org/apache/flink/streaming/connectors/rabbitmq/RMQSink.java
|
RMQSink.setupQueue
|
protected void setupQueue() throws IOException {
if (queueName != null) {
channel.queueDeclare(queueName, false, false, false, null);
}
}
|
java
|
protected void setupQueue() throws IOException {
if (queueName != null) {
channel.queueDeclare(queueName, false, false, false, null);
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}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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Setup the queue.
|
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flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDBStateBackend.java
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RocksDBStateBackend.configure
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@Override
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java
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@Override
public RocksDBStateBackend configure(Configuration config, ClassLoader classLoader) {
return new RocksDBStateBackend(this, config, classLoader);
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java
|
CheckpointStatsTracker.reportPendingCheckpoint
|
PendingCheckpointStats reportPendingCheckpoint(
long checkpointId,
long triggerTimestamp,
CheckpointProperties props) {
ConcurrentHashMap<JobVertexID, TaskStateStats> taskStateStats = createEmptyTaskStateStatsMap();
PendingCheckpointStats pending = new PendingCheckpointStats(
checkpointId,
triggerTimestamp,
props,
totalSubtaskCount,
taskStateStats,
new PendingCheckpointStatsCallback());
statsReadWriteLock.lock();
try {
counts.incrementInProgressCheckpoints();
history.addInProgressCheckpoint(pending);
dirty = true;
} finally {
statsReadWriteLock.unlock();
}
return pending;
}
|
java
|
PendingCheckpointStats reportPendingCheckpoint(
long checkpointId,
long triggerTimestamp,
CheckpointProperties props) {
ConcurrentHashMap<JobVertexID, TaskStateStats> taskStateStats = createEmptyTaskStateStatsMap();
PendingCheckpointStats pending = new PendingCheckpointStats(
checkpointId,
triggerTimestamp,
props,
totalSubtaskCount,
taskStateStats,
new PendingCheckpointStatsCallback());
statsReadWriteLock.lock();
try {
counts.incrementInProgressCheckpoints();
history.addInProgressCheckpoint(pending);
dirty = true;
} finally {
statsReadWriteLock.unlock();
}
return pending;
}
|
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Creates a new pending checkpoint tracker.
@param checkpointId ID of the checkpoint.
@param triggerTimestamp Trigger timestamp of the checkpoint.
@param props The checkpoint properties.
@return Tracker for statistics gathering.
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java#L194-L220
|
train
|
Reports a pending checkpoint.
|
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netty/netty
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codec-memcache/src/main/java/io/netty/handler/codec/memcache/binary/AbstractBinaryMemcacheDecoder.java
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AbstractBinaryMemcacheDecoder.invalidMessage
|
private M invalidMessage(Exception cause) {
state = State.BAD_MESSAGE;
M message = buildInvalidMessage();
message.setDecoderResult(DecoderResult.failure(cause));
return message;
}
|
java
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private M invalidMessage(Exception cause) {
state = State.BAD_MESSAGE;
M message = buildInvalidMessage();
message.setDecoderResult(DecoderResult.failure(cause));
return message;
}
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Helper method to create a message indicating a invalid decoding result.
@param cause the cause of the decoding failure.
@return a valid message indicating failure.
|
[
"Helper",
"method",
"to",
"create",
"a",
"message",
"indicating",
"a",
"invalid",
"decoding",
"result",
"."
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-memcache/src/main/java/io/netty/handler/codec/memcache/binary/AbstractBinaryMemcacheDecoder.java#L175-L180
|
train
|
Creates an invalid message.
|
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30526
] |
apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelReaderInputView.java
|
ChannelReaderInputView.close
|
@Override
public List<MemorySegment> close() throws IOException {
if (this.closed) {
throw new IllegalStateException("Already closed.");
}
this.closed = true;
// re-collect all memory segments
ArrayList<MemorySegment> list = this.freeMem;
final MemorySegment current = getCurrentSegment();
if (current != null) {
list.add(current);
}
clear();
// close the writer and gather all segments
final LinkedBlockingQueue<MemorySegment> queue = this.reader.getReturnQueue();
this.reader.close();
while (list.size() < this.numSegments) {
final MemorySegment m = queue.poll();
if (m == null) {
// we get null if the queue is empty. that should not be the case if the reader was properly closed.
throw new RuntimeException("Bug in ChannelReaderInputView: MemorySegments lost.");
}
list.add(m);
}
return list;
}
|
java
|
@Override
public List<MemorySegment> close() throws IOException {
if (this.closed) {
throw new IllegalStateException("Already closed.");
}
this.closed = true;
// re-collect all memory segments
ArrayList<MemorySegment> list = this.freeMem;
final MemorySegment current = getCurrentSegment();
if (current != null) {
list.add(current);
}
clear();
// close the writer and gather all segments
final LinkedBlockingQueue<MemorySegment> queue = this.reader.getReturnQueue();
this.reader.close();
while (list.size() < this.numSegments) {
final MemorySegment m = queue.poll();
if (m == null) {
// we get null if the queue is empty. that should not be the case if the reader was properly closed.
throw new RuntimeException("Bug in ChannelReaderInputView: MemorySegments lost.");
}
list.add(m);
}
return list;
}
|
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Closes this InputView, closing the underlying reader and returning all memory segments.
@return A list containing all memory segments originally supplied to this view.
@throws IOException Thrown, if the underlying reader could not be properly closed.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelReaderInputView.java#L171-L199
|
train
|
Closes the underlying reader and returns the list of memory segments that were allocated.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/remote/RemoteWebDriverBuilder.java
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RemoteWebDriverBuilder.addAlternative
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public RemoteWebDriverBuilder addAlternative(Capabilities options) {
Map<String, Object> serialized = validate(Objects.requireNonNull(options));
this.options.add(serialized);
return this;
}
|
java
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public RemoteWebDriverBuilder addAlternative(Capabilities options) {
Map<String, Object> serialized = validate(Objects.requireNonNull(options));
this.options.add(serialized);
return this;
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7af172729f17b20269c8ca4ea6f788db48616535
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https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/remote/RemoteWebDriverBuilder.java#L120-L124
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train
|
Add alternative capabilities.
|
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apache/flink
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flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java
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CsvReader.includeFields
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public CsvReader includeFields(String mask) {
boolean[] includedMask = new boolean[mask.length()];
for (int i = 0; i < mask.length(); i++) {
char c = mask.charAt(i);
if (c == '1' || c == 'T' || c == 't') {
includedMask[i] = true;
} else if (c != '0' && c != 'F' && c != 'f') {
throw new IllegalArgumentException("Mask string may contain only '0' and '1'.");
}
}
return includeFields(includedMask);
}
|
java
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public CsvReader includeFields(String mask) {
boolean[] includedMask = new boolean[mask.length()];
for (int i = 0; i < mask.length(); i++) {
char c = mask.charAt(i);
if (c == '1' || c == 'T' || c == 't') {
includedMask[i] = true;
} else if (c != '0' && c != 'F' && c != 'f') {
throw new IllegalArgumentException("Mask string may contain only '0' and '1'.");
}
}
return includeFields(includedMask);
}
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Configures which fields of the CSV file should be included and which should be skipped. The
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@param mask The string mask defining which fields to include and which to skip.
@return The CSV reader instance itself, to allow for fluent function chaining.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java#L233-L246
|
train
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Returns a reader that reads the specified mask of fields.
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apache/flink
|
flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/Simplify.java
|
Simplify.simplify
|
public <T extends Comparable<T>> Graph<T, NullValue, NullValue> simplify(Graph<T, NullValue, NullValue> graph, int parallelism)
throws Exception {
switch (value) {
case DIRECTED:
graph = graph
.run(new org.apache.flink.graph.asm.simple.directed.Simplify<T, NullValue, NullValue>()
.setParallelism(parallelism));
break;
case UNDIRECTED:
graph = graph
.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<T, NullValue, NullValue>(false)
.setParallelism(parallelism));
break;
case UNDIRECTED_CLIP_AND_FLIP:
graph = graph
.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<T, NullValue, NullValue>(true)
.setParallelism(parallelism));
break;
}
return graph;
}
|
java
|
public <T extends Comparable<T>> Graph<T, NullValue, NullValue> simplify(Graph<T, NullValue, NullValue> graph, int parallelism)
throws Exception {
switch (value) {
case DIRECTED:
graph = graph
.run(new org.apache.flink.graph.asm.simple.directed.Simplify<T, NullValue, NullValue>()
.setParallelism(parallelism));
break;
case UNDIRECTED:
graph = graph
.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<T, NullValue, NullValue>(false)
.setParallelism(parallelism));
break;
case UNDIRECTED_CLIP_AND_FLIP:
graph = graph
.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<T, NullValue, NullValue>(true)
.setParallelism(parallelism));
break;
}
return graph;
}
|
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Simplify the given graph based on the configured value.
@param graph input graph
@param <T> graph key type
@return output graph
@throws Exception on error
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/Simplify.java#L112-L133
|
train
|
Simplify a graph.
|
[
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java
|
ClusterAnalyzer.repeatedBisection
|
public List<Set<K>> repeatedBisection(int nclusters, double limit_eval)
{
Cluster<K> cluster = new Cluster<K>();
List<Cluster<K>> clusters_ = new ArrayList<Cluster<K>>(nclusters > 0 ? nclusters : 16);
for (Document<K> document : documents_.values())
{
cluster.add_document(document);
}
PriorityQueue<Cluster<K>> que = new PriorityQueue<Cluster<K>>();
cluster.section(2);
refine_clusters(cluster.sectioned_clusters());
cluster.set_sectioned_gain();
cluster.composite_vector().clear();
que.add(cluster);
while (!que.isEmpty())
{
if (nclusters > 0 && que.size() >= nclusters)
break;
cluster = que.peek();
if (cluster.sectioned_clusters().size() < 1)
break;
if (limit_eval > 0 && cluster.sectioned_gain() < limit_eval)
break;
que.poll();
List<Cluster<K>> sectioned = cluster.sectioned_clusters();
for (Cluster<K> c : sectioned)
{
c.section(2);
refine_clusters(c.sectioned_clusters());
c.set_sectioned_gain();
if (c.sectioned_gain() < limit_eval)
{
for (Cluster<K> sub : c.sectioned_clusters())
{
sub.clear();
}
}
c.composite_vector().clear();
que.add(c);
}
}
while (!que.isEmpty())
{
clusters_.add(0, que.poll());
}
return toResult(clusters_);
}
|
java
|
public List<Set<K>> repeatedBisection(int nclusters, double limit_eval)
{
Cluster<K> cluster = new Cluster<K>();
List<Cluster<K>> clusters_ = new ArrayList<Cluster<K>>(nclusters > 0 ? nclusters : 16);
for (Document<K> document : documents_.values())
{
cluster.add_document(document);
}
PriorityQueue<Cluster<K>> que = new PriorityQueue<Cluster<K>>();
cluster.section(2);
refine_clusters(cluster.sectioned_clusters());
cluster.set_sectioned_gain();
cluster.composite_vector().clear();
que.add(cluster);
while (!que.isEmpty())
{
if (nclusters > 0 && que.size() >= nclusters)
break;
cluster = que.peek();
if (cluster.sectioned_clusters().size() < 1)
break;
if (limit_eval > 0 && cluster.sectioned_gain() < limit_eval)
break;
que.poll();
List<Cluster<K>> sectioned = cluster.sectioned_clusters();
for (Cluster<K> c : sectioned)
{
c.section(2);
refine_clusters(c.sectioned_clusters());
c.set_sectioned_gain();
if (c.sectioned_gain() < limit_eval)
{
for (Cluster<K> sub : c.sectioned_clusters())
{
sub.clear();
}
}
c.composite_vector().clear();
que.add(c);
}
}
while (!que.isEmpty())
{
clusters_.add(0, que.poll());
}
return toResult(clusters_);
}
|
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] |
repeated bisection 聚类
@param nclusters 簇的数量
@param limit_eval 准则函数增幅阈值
@return 指定数量的簇（Set）构成的集合
|
[
"repeated",
"bisection",
"聚类"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java#L201-L250
|
train
|
Repeats the repeated bisection of the set of clusters.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-tools/spring-boot-loader-tools/src/main/java/org/springframework/boot/loader/tools/MainClassFinder.java
|
MainClassFinder.findSingleMainClass
|
public static String findSingleMainClass(JarFile jarFile, String classesLocation,
String annotationName) throws IOException {
SingleMainClassCallback callback = new SingleMainClassCallback(annotationName);
MainClassFinder.doWithMainClasses(jarFile, classesLocation, callback);
return callback.getMainClassName();
}
|
java
|
public static String findSingleMainClass(JarFile jarFile, String classesLocation,
String annotationName) throws IOException {
SingleMainClassCallback callback = new SingleMainClassCallback(annotationName);
MainClassFinder.doWithMainClasses(jarFile, classesLocation, callback);
return callback.getMainClassName();
}
|
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Find a single main class in a given jar file. A main class annotated with an
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@param jarFile the jar file to search
@param classesLocation the location within the jar containing classes
@param annotationName the name of the annotation that may be present on the main
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@return the main class or {@code null}
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|
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
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/MainClassFinder.java#L201-L206
|
train
|
Find the main class name of a single class.
|
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networknt/light-4j
|
client/src/main/java/com/networknt/client/oauth/ClientRequestComposerProvider.java
|
ClientRequestComposerProvider.getComposer
|
public IClientRequestComposable getComposer(ClientRequestComposers composerName) {
IClientRequestComposable composer = composersMap.get(composerName);
if(composer == null) {
initDefaultComposer(composerName);
}
return composersMap.get(composerName);
}
|
java
|
public IClientRequestComposable getComposer(ClientRequestComposers composerName) {
IClientRequestComposable composer = composersMap.get(composerName);
if(composer == null) {
initDefaultComposer(composerName);
}
return composersMap.get(composerName);
}
|
[
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"composerName",
")",
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] |
get IClientRequestComposable based on ClientRequestComposers composer name
@param composerName
@return IClientRequestComposable composer
|
[
"get",
"IClientRequestComposable",
"based",
"on",
"ClientRequestComposers",
"composer",
"name"
] |
2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/client/src/main/java/com/networknt/client/oauth/ClientRequestComposerProvider.java#L41-L47
|
train
|
Gets a client request composer by name.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple7.java
|
Tuple7.of
|
public static <T0, T1, T2, T3, T4, T5, T6> Tuple7<T0, T1, T2, T3, T4, T5, T6> of(T0 value0, T1 value1, T2 value2, T3 value3, T4 value4, T5 value5, T6 value6) {
return new Tuple7<>(value0,
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value6);
}
|
java
|
public static <T0, T1, T2, T3, T4, T5, T6> Tuple7<T0, T1, T2, T3, T4, T5, T6> of(T0 value0, T1 value1, T2 value2, T3 value3, T4 value4, T5 value5, T6 value6) {
return new Tuple7<>(value0,
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value2,
value3,
value4,
value5,
value6);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple7.java#L268-L276
|
train
|
Construct a tuple 7 with the specified values.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/tag/Nature.java
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Nature.fromString
|
public static final Nature fromString(String name)
{
Integer id = idMap.get(name);
if (id == null)
return null;
return values[id];
}
|
java
|
public static final Nature fromString(String name)
{
Integer id = idMap.get(name);
if (id == null)
return null;
return values[id];
}
|
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] |
安全地将字符串类型的词性转为Enum类型，如果未定义该词性，则返回null
@param name 字符串词性
@return Enum词性
|
[
"安全地将字符串类型的词性转为Enum类型，如果未定义该词性，则返回null"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/tag/Nature.java#L825-L831
|
train
|
Get a Nature object from a string.
|
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looly/hutool
|
hutool-socket/src/main/java/cn/hutool/socket/aio/AioSession.java
|
AioSession.read
|
public AioSession read(CompletionHandler<Integer, AioSession> handler) {
if (isOpen()) {
this.readBuffer.clear();
this.channel.read(this.readBuffer, Math.max(this.readTimeout, 0L), TimeUnit.MILLISECONDS, this, handler);
}
return this;
}
|
java
|
public AioSession read(CompletionHandler<Integer, AioSession> handler) {
if (isOpen()) {
this.readBuffer.clear();
this.channel.read(this.readBuffer, Math.max(this.readTimeout, 0L), TimeUnit.MILLISECONDS, this, handler);
}
return this;
}
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读取数据到Buffer
@param handler {@link CompletionHandler}
@return this
|
[
"读取数据到Buffer"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-socket/src/main/java/cn/hutool/socket/aio/AioSession.java#L110-L116
|
train
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Reads data from the device.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.readLines
|
public static List<String> readLines(File file, String charset) throws IORuntimeException {
return readLines(file, charset, new ArrayList<String>());
}
|
java
|
public static List<String> readLines(File file, String charset) throws IORuntimeException {
return readLines(file, charset, new ArrayList<String>());
}
|
[
"public",
"static",
"List",
"<",
"String",
">",
"readLines",
"(",
"File",
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"charset",
")",
"throws",
"IORuntimeException",
"{",
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",",
"charset",
",",
"new",
"ArrayList",
"<",
"String",
">",
"(",
")",
")",
";",
"}"
] |
从文件中读取每一行数据
@param file 文件
@param charset 字符集
@return 文件中的每行内容的集合List
@throws IORuntimeException IO异常
|
[
"从文件中读取每一行数据"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L2380-L2382
|
train
|
Reads a file into a list of strings.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/word/NewWordDiscover.java
|
NewWordDiscover.discover
|
public List<WordInfo> discover(String doc, int size)
{
try
{
return discover(new BufferedReader(new StringReader(doc)), size);
}
catch (IOException e)
{
throw new RuntimeException(e);
}
}
|
java
|
public List<WordInfo> discover(String doc, int size)
{
try
{
return discover(new BufferedReader(new StringReader(doc)), size);
}
catch (IOException e)
{
throw new RuntimeException(e);
}
}
|
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] |
提取词语
@param doc 大文本
@param size 需要提取词语的数量
@return 一个词语列表
|
[
"提取词语"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/word/NewWordDiscover.java#L127-L137
|
train
|
Discover a sequence of words from a string.
|
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flink-table/flink-table-common/src/main/java/org/apache/flink/table/factories/TableFactoryService.java
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TableFactoryService.find
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public static <T> T find(Class<T> factoryClass, Map<String, String> propertyMap) {
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java
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public static <T> T find(Class<T> factoryClass, Map<String, String> propertyMap) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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looly/hutool
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hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
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FileUtil.writeLines
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public static <T> File writeLines(Collection<T> list, File file, Charset charset, boolean isAppend) throws IORuntimeException {
return FileWriter.create(file, charset).writeLines(list, isAppend);
}
|
java
|
public static <T> File writeLines(Collection<T> list, File file, Charset charset, boolean isAppend) throws IORuntimeException {
return FileWriter.create(file, charset).writeLines(list, isAppend);
}
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将列表写入文件
@param <T> 集合元素类型
@param list 列表
@param file 文件
@param charset 字符集
@param isAppend 是否追加
@return 目标文件
@throws IORuntimeException IO异常
|
[
"将列表写入文件"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L3071-L3073
|
train
|
Write a collection of objects to a file.
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30526
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looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelUtil.java
|
ExcelUtil.getReader
|
public static ExcelReader getReader(File bookFile, String sheetName) {
try {
return new ExcelReader(bookFile, sheetName);
} catch (NoClassDefFoundError e) {
throw new DependencyException(ObjectUtil.defaultIfNull(e.getCause(), e), PoiChecker.NO_POI_ERROR_MSG);
}
}
|
java
|
public static ExcelReader getReader(File bookFile, String sheetName) {
try {
return new ExcelReader(bookFile, sheetName);
} catch (NoClassDefFoundError e) {
throw new DependencyException(ObjectUtil.defaultIfNull(e.getCause(), e), PoiChecker.NO_POI_ERROR_MSG);
}
}
|
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获取Excel读取器，通过调用{@link ExcelReader}的read或readXXX方法读取Excel内容
@param bookFile Excel文件
@param sheetName sheet名，第一个默认是sheet1
@return {@link ExcelReader}
|
[
"获取Excel读取器，通过调用",
"{",
"@link",
"ExcelReader",
"}",
"的read或readXXX方法读取Excel内容"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelUtil.java#L245-L251
|
train
|
Returns an ExcelReader for the specified sheet.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapListState.java
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HeapListState.mergeState
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@Override
protected List<V> mergeState(List<V> a, List<V> b) {
a.addAll(b);
return a;
}
|
java
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@Override
protected List<V> mergeState(List<V> a, List<V> b) {
a.addAll(b);
return a;
}
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapListState.java#L146-L150
|
train
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Merge two lists of values.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/entrypoint/ClusterEntrypoint.java
|
ClusterEntrypoint.cleanupDirectories
|
private void cleanupDirectories() throws IOException {
ShutdownHookUtil.removeShutdownHook(shutDownHook, getClass().getSimpleName(), LOG);
final String webTmpDir = configuration.getString(WebOptions.TMP_DIR);
FileUtils.deleteDirectory(new File(webTmpDir));
}
|
java
|
private void cleanupDirectories() throws IOException {
ShutdownHookUtil.removeShutdownHook(shutDownHook, getClass().getSimpleName(), LOG);
final String webTmpDir = configuration.getString(WebOptions.TMP_DIR);
FileUtils.deleteDirectory(new File(webTmpDir));
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/entrypoint/ClusterEntrypoint.java#L452-L458
|
train
|
Cleanup directories.
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/convert/Convert.java
|
Convert.toLong
|
public static Long toLong(Object value, Long defaultValue) {
return convert(Long.class, value, defaultValue);
}
|
java
|
public static Long toLong(Object value, Long defaultValue) {
return convert(Long.class, value, defaultValue);
}
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转换为long<br>
如果给定的值为空，或者转换失败，返回默认值<br>
转换失败不会报错
@param value 被转换的值
@param defaultValue 转换错误时的默认值
@return 结果
|
[
"转换为long<br",
">",
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"转换失败不会报错"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/convert/Convert.java#L256-L258
|
train
|
Converts value of type Long to Long.
|
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SeleniumHQ/selenium
|
java/client/src/com/thoughtworks/selenium/DefaultRemoteCommand.java
|
DefaultRemoteCommand.parse
|
public static RemoteCommand parse(String inputLine) {
if (null == inputLine) throw new NullPointerException("inputLine can't be null");
String[] values = inputLine.split("\\|");
if (values.length != NUMARGSINCLUDINGBOUNDARIES) {
throw new IllegalStateException("Cannot parse invalid line: " + inputLine + values.length);
}
return new DefaultRemoteCommand(values[FIRSTINDEX], new String[] {values[SECONDINDEX],
values[THIRDINDEX]});
}
|
java
|
public static RemoteCommand parse(String inputLine) {
if (null == inputLine) throw new NullPointerException("inputLine can't be null");
String[] values = inputLine.split("\\|");
if (values.length != NUMARGSINCLUDINGBOUNDARIES) {
throw new IllegalStateException("Cannot parse invalid line: " + inputLine + values.length);
}
return new DefaultRemoteCommand(values[FIRSTINDEX], new String[] {values[SECONDINDEX],
values[THIRDINDEX]});
}
|
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Factory method to create a RemoteCommand from a wiki-style input string
@param inputLine wiki-style input string
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/com/thoughtworks/selenium/DefaultRemoteCommand.java#L74-L82
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train
|
Parses a single command line.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/endpoint/Sanitizer.java
|
Sanitizer.setKeysToSanitize
|
public void setKeysToSanitize(String... keysToSanitize) {
Assert.notNull(keysToSanitize, "KeysToSanitize must not be null");
this.keysToSanitize = new Pattern[keysToSanitize.length];
for (int i = 0; i < keysToSanitize.length; i++) {
this.keysToSanitize[i] = getPattern(keysToSanitize[i]);
}
}
|
java
|
public void setKeysToSanitize(String... keysToSanitize) {
Assert.notNull(keysToSanitize, "KeysToSanitize must not be null");
this.keysToSanitize = new Pattern[keysToSanitize.length];
for (int i = 0; i < keysToSanitize.length; i++) {
this.keysToSanitize[i] = getPattern(keysToSanitize[i]);
}
}
|
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Keys that should be sanitized. Keys can be simple strings that the property ends
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@param keysToSanitize the keys to sanitize
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-actuator/src/main/java/org/springframework/boot/actuate/endpoint/Sanitizer.java#L54-L60
|
train
|
Sets the keys to sanitize.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapReducingState.java
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HeapReducingState.mergeState
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@Override
protected V mergeState(V a, V b) throws Exception {
return reduceTransformation.apply(a, b);
}
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java
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@Override
protected V mergeState(V a, V b) throws Exception {
return reduceTransformation.apply(a, b);
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------------------------------------------------------------------------
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[
"------------------------------------------------------------------------"
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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/state/heap/HeapReducingState.java#L111-L114
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train
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Merge two state objects.
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apache/flink
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flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.getDegrees
|
public DataSet<Tuple2<K, LongValue>> getDegrees() {
return outDegrees()
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}
|
java
|
public DataSet<Tuple2<K, LongValue>> getDegrees() {
return outDegrees()
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}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L974-L978
|
train
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Get the degree of the data set.
|
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apache/flink
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java
|
Pattern.followedByAny
|
public Pattern<T, T> followedByAny(final String name) {
return new Pattern<>(name, this, ConsumingStrategy.SKIP_TILL_ANY, afterMatchSkipStrategy);
}
|
java
|
public Pattern<T, T> followedByAny(final String name) {
return new Pattern<>(name, this, ConsumingStrategy.SKIP_TILL_ANY, afterMatchSkipStrategy);
}
|
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Appends a new pattern to the existing one. The new pattern enforces non-strict
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preceding matching event might be interleaved with other events which are ignored.
@param name Name of the new pattern
@return A new pattern which is appended to this one
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java#L321-L323
|
train
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Creates a pattern that matches when the given string is followed by any of the matched elements.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/NetUtils.java
|
NetUtils.hostAndPortToUrlString
|
public static String hostAndPortToUrlString(String host, int port) throws UnknownHostException {
return ipAddressAndPortToUrlString(InetAddress.getByName(host), port);
}
|
java
|
public static String hostAndPortToUrlString(String host, int port) throws UnknownHostException {
return ipAddressAndPortToUrlString(InetAddress.getByName(host), port);
}
|
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] |
Normalizes and encodes a hostname and port to be included in URL.
In particular, this method makes sure that IPv6 address literals have the proper
formatting to be included in URLs.
@param host The address to be included in the URL.
@param port The port for the URL address.
@return The proper URL string encoded IP address and port.
@throws java.net.UnknownHostException Thrown, if the hostname cannot be translated into a URL.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/NetUtils.java#L229-L231
|
train
|
Convert host and port to url string.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/util/EnvironmentInformation.java
|
EnvironmentInformation.getJvmVersion
|
public static String getJvmVersion() {
try {
final RuntimeMXBean bean = ManagementFactory.getRuntimeMXBean();
return bean.getVmName() + " - " + bean.getVmVendor() + " - " + bean.getSpecVersion() + '/' + bean.getVmVersion();
}
catch (Throwable t) {
return UNKNOWN;
}
}
|
java
|
public static String getJvmVersion() {
try {
final RuntimeMXBean bean = ManagementFactory.getRuntimeMXBean();
return bean.getVmName() + " - " + bean.getVmVendor() + " - " + bean.getSpecVersion() + '/' + bean.getVmVersion();
}
catch (Throwable t) {
return UNKNOWN;
}
}
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Gets the version of the JVM in the form "VM_Name - Vendor - Spec/Version".
@return The JVM version.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/EnvironmentInformation.java#L174-L182
|
train
|
Get the version of the JVM.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/watch/WatchMonitor.java
|
WatchMonitor.create
|
public static WatchMonitor create(URI uri, int maxDepth, WatchEvent.Kind<?>... events){
return create(Paths.get(uri), maxDepth, events);
}
|
java
|
public static WatchMonitor create(URI uri, int maxDepth, WatchEvent.Kind<?>... events){
return create(Paths.get(uri), maxDepth, events);
}
|
[
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"get",
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"maxDepth",
",",
"events",
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] |
创建并初始化监听
@param uri URI
@param events 监听的事件列表
@param maxDepth 当监听目录时，监听目录的最大深度，当设置值为1（或小于1）时，表示不递归监听子目录
@return 监听对象
|
[
"创建并初始化监听"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/watch/WatchMonitor.java#L120-L122
|
train
|
Creates a new watch monitor for the given uri.
|
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apache/flink
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flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/types/valuearray/DoubleValueArray.java
|
DoubleValueArray.compareTo
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@Override
public int compareTo(ValueArray<DoubleValue> o) {
DoubleValueArray other = (DoubleValueArray) o;
int min = Math.min(position, other.position);
for (int i = 0; i < min; i++) {
int cmp = Double.compare(data[i], other.data[i]);
if (cmp != 0) {
return cmp;
}
}
return Integer.compare(position, other.position);
}
|
java
|
@Override
public int compareTo(ValueArray<DoubleValue> o) {
DoubleValueArray other = (DoubleValueArray) o;
int min = Math.min(position, other.position);
for (int i = 0; i < min; i++) {
int cmp = Double.compare(data[i], other.data[i]);
if (cmp != 0) {
return cmp;
}
}
return Integer.compare(position, other.position);
}
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/types/valuearray/DoubleValueArray.java#L226-L240
|
train
|
Compares two DoubleValueArrays.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/map/CaseInsensitiveMap.java
|
CaseInsensitiveMap.customKey
|
@Override
protected Object customKey(Object key) {
if (null != key && key instanceof CharSequence) {
key = key.toString().toLowerCase();
}
return key;
}
|
java
|
@Override
protected Object customKey(Object key) {
if (null != key && key instanceof CharSequence) {
key = key.toString().toLowerCase();
}
return key;
}
|
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")",
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"toLowerCase",
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"}",
"return",
"key",
";",
"}"
] |
将Key转为小写
@param key KEY
@return 小写KEY
|
[
"将Key转为小写"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/CaseInsensitiveMap.java#L74-L80
|
train
|
Override to set the custom key to lowercase.
|
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apache/flink
|
flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java
|
OptimizerNode.addOutgoingConnection
|
public void addOutgoingConnection(DagConnection connection) {
if (this.outgoingConnections == null) {
this.outgoingConnections = new ArrayList<DagConnection>();
} else {
if (this.outgoingConnections.size() == 64) {
throw new CompilerException("Cannot currently handle nodes with more than 64 outputs.");
}
}
this.outgoingConnections.add(connection);
}
|
java
|
public void addOutgoingConnection(DagConnection connection) {
if (this.outgoingConnections == null) {
this.outgoingConnections = new ArrayList<DagConnection>();
} else {
if (this.outgoingConnections.size() == 64) {
throw new CompilerException("Cannot currently handle nodes with more than 64 outputs.");
}
}
this.outgoingConnections.add(connection);
}
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java#L343-L353
|
train
|
Adds an outgoing connection to this node.
|
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getInt32
|
public final int getInt32() {
if (position + 3 >= origin + limit) throw new IllegalArgumentException("limit excceed: "
+ (position - origin + 3));
byte[] buf = buffer;
return (0xff & buf[position++]) | ((0xff & buf[position++]) << 8) | ((0xff & buf[position++]) << 16)
| ((buf[position++]) << 24);
}
|
java
|
public final int getInt32() {
if (position + 3 >= origin + limit) throw new IllegalArgumentException("limit excceed: "
+ (position - origin + 3));
byte[] buf = buffer;
return (0xff & buf[position++]) | ((0xff & buf[position++]) << 8) | ((0xff & buf[position++]) << 16)
| ((buf[position++]) << 24);
}
|
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Return next 32-bit signed int from buffer. (little-endian)
@see mysql-5.1.60/include/my_global.h - sint4korr
|
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8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L501-L508
|
train
|
Gets a 32 - bit integer from the buffer.
|
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looly/hutool
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hutool-db/src/main/java/cn/hutool/db/dialect/DriverUtil.java
|
DriverUtil.identifyDriver
|
public static String identifyDriver(Connection conn) throws DbRuntimeException {
String driver = null;
DatabaseMetaData meta;
try {
meta = conn.getMetaData();
driver = identifyDriver(meta.getDatabaseProductName());
if (StrUtil.isBlank(driver)) {
driver = identifyDriver(meta.getDriverName());
}
} catch (SQLException e) {
throw new DbRuntimeException("Identify driver error!", e);
}
return driver;
}
|
java
|
public static String identifyDriver(Connection conn) throws DbRuntimeException {
String driver = null;
DatabaseMetaData meta;
try {
meta = conn.getMetaData();
driver = identifyDriver(meta.getDatabaseProductName());
if (StrUtil.isBlank(driver)) {
driver = identifyDriver(meta.getDriverName());
}
} catch (SQLException e) {
throw new DbRuntimeException("Identify driver error!", e);
}
return driver;
}
|
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识别JDBC驱动名
@param conn 数据库连接对象
@return 驱动
@throws DbRuntimeException SQL异常包装，获取元数据信息失败
|
[
"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#L71-L85
|
train
|
Identify the database driver for a connection.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/HashUtil.java
|
HashUtil.elfHash
|
public static int elfHash(String str) {
int hash = 0;
int x = 0;
for (int i = 0; i < str.length(); i++) {
hash = (hash << 4) + str.charAt(i);
if ((x = (int) (hash & 0xF0000000L)) != 0) {
hash ^= (x >> 24);
hash &= ~x;
}
}
return hash & 0x7FFFFFFF;
}
|
java
|
public static int elfHash(String str) {
int hash = 0;
int x = 0;
for (int i = 0; i < str.length(); i++) {
hash = (hash << 4) + str.charAt(i);
if ((x = (int) (hash & 0xF0000000L)) != 0) {
hash ^= (x >> 24);
hash &= ~x;
}
}
return hash & 0x7FFFFFFF;
}
|
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] |
ELF算法
@param str 字符串
@return hash值
|
[
"ELF算法"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/HashUtil.java#L260-L273
|
train
|
Returns the ELF hash code of the specified string.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java
|
ReflectUtil.getMethodIgnoreCase
|
public static Method getMethodIgnoreCase(Class<?> clazz, String methodName, Class<?>... paramTypes) throws SecurityException {
return getMethod(clazz, true, methodName, paramTypes);
}
|
java
|
public static Method getMethodIgnoreCase(Class<?> clazz, String methodName, Class<?>... paramTypes) throws SecurityException {
return getMethod(clazz, true, methodName, paramTypes);
}
|
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] |
忽略大小写查找指定方法，如果找不到对应的方法则返回<code>null</code>
<p>
此方法为精准获取方法名，即方法名和参数数量和类型必须一致，否则返回<code>null</code>。
</p>
@param clazz 类，如果为{@code null}返回{@code null}
@param methodName 方法名，如果为空字符串返回{@code null}
@param paramTypes 参数类型，指定参数类型如果是方法的子类也算
@return 方法
@throws SecurityException 无权访问抛出异常
@since 3.2.0
|
[
"忽略大小写查找指定方法，如果找不到对应的方法则返回<code",
">",
"null<",
"/",
"code",
">"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L414-L416
|
train
|
Get a Method object that implements the specified Method name ignoring case.
|
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looly/hutool
|
hutool-log/src/main/java/cn/hutool/log/GlobalLogFactory.java
|
GlobalLogFactory.set
|
public static LogFactory set(LogFactory logFactory) {
logFactory.getLog(GlobalLogFactory.class).debug("Custom Use [{}] Logger.", logFactory.name);
currentLogFactory = logFactory;
return currentLogFactory;
}
|
java
|
public static LogFactory set(LogFactory logFactory) {
logFactory.getLog(GlobalLogFactory.class).debug("Custom Use [{}] Logger.", logFactory.name);
currentLogFactory = logFactory;
return currentLogFactory;
}
|
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自定义日志实现
@see Slf4jLogFactory
@see Log4jLogFactory
@see Log4j2LogFactory
@see ApacheCommonsLogFactory
@see JdkLogFactory
@see ConsoleLogFactory
@param logFactory 日志工厂类对象
@return 自定义的日志工厂类
|
[
"自定义日志实现"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-log/src/main/java/cn/hutool/log/GlobalLogFactory.java#L71-L75
|
train
|
Set the LogFactory to use.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java
|
MiniCluster.closeAsync
|
@Override
public CompletableFuture<Void> closeAsync() {
synchronized (lock) {
if (running) {
LOG.info("Shutting down Flink Mini Cluster");
try {
final long shutdownTimeoutMillis = miniClusterConfiguration.getConfiguration().getLong(ClusterOptions.CLUSTER_SERVICES_SHUTDOWN_TIMEOUT);
final int numComponents = 2 + miniClusterConfiguration.getNumTaskManagers();
final Collection<CompletableFuture<Void>> componentTerminationFutures = new ArrayList<>(numComponents);
componentTerminationFutures.addAll(terminateTaskExecutors());
componentTerminationFutures.add(shutDownResourceManagerComponents());
final FutureUtils.ConjunctFuture<Void> componentsTerminationFuture = FutureUtils.completeAll(componentTerminationFutures);
final CompletableFuture<Void> metricSystemTerminationFuture = FutureUtils.composeAfterwards(
componentsTerminationFuture,
this::closeMetricSystem);
// shut down the RpcServices
final CompletableFuture<Void> rpcServicesTerminationFuture = metricSystemTerminationFuture
.thenCompose((Void ignored) -> terminateRpcServices());
final CompletableFuture<Void> remainingServicesTerminationFuture = FutureUtils.runAfterwards(
rpcServicesTerminationFuture,
this::terminateMiniClusterServices);
final CompletableFuture<Void> executorsTerminationFuture = FutureUtils.runAfterwards(
remainingServicesTerminationFuture,
() -> terminateExecutors(shutdownTimeoutMillis));
executorsTerminationFuture.whenComplete(
(Void ignored, Throwable throwable) -> {
if (throwable != null) {
terminationFuture.completeExceptionally(ExceptionUtils.stripCompletionException(throwable));
} else {
terminationFuture.complete(null);
}
});
} finally {
running = false;
}
}
return terminationFuture;
}
}
|
java
|
@Override
public CompletableFuture<Void> closeAsync() {
synchronized (lock) {
if (running) {
LOG.info("Shutting down Flink Mini Cluster");
try {
final long shutdownTimeoutMillis = miniClusterConfiguration.getConfiguration().getLong(ClusterOptions.CLUSTER_SERVICES_SHUTDOWN_TIMEOUT);
final int numComponents = 2 + miniClusterConfiguration.getNumTaskManagers();
final Collection<CompletableFuture<Void>> componentTerminationFutures = new ArrayList<>(numComponents);
componentTerminationFutures.addAll(terminateTaskExecutors());
componentTerminationFutures.add(shutDownResourceManagerComponents());
final FutureUtils.ConjunctFuture<Void> componentsTerminationFuture = FutureUtils.completeAll(componentTerminationFutures);
final CompletableFuture<Void> metricSystemTerminationFuture = FutureUtils.composeAfterwards(
componentsTerminationFuture,
this::closeMetricSystem);
// shut down the RpcServices
final CompletableFuture<Void> rpcServicesTerminationFuture = metricSystemTerminationFuture
.thenCompose((Void ignored) -> terminateRpcServices());
final CompletableFuture<Void> remainingServicesTerminationFuture = FutureUtils.runAfterwards(
rpcServicesTerminationFuture,
this::terminateMiniClusterServices);
final CompletableFuture<Void> executorsTerminationFuture = FutureUtils.runAfterwards(
remainingServicesTerminationFuture,
() -> terminateExecutors(shutdownTimeoutMillis));
executorsTerminationFuture.whenComplete(
(Void ignored, Throwable throwable) -> {
if (throwable != null) {
terminationFuture.completeExceptionally(ExceptionUtils.stripCompletionException(throwable));
} else {
terminationFuture.complete(null);
}
});
} finally {
running = false;
}
}
return terminationFuture;
}
}
|
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Shuts down the mini cluster, failing all currently executing jobs.
The mini cluster can be started again by calling the {@link #start()} method again.
<p>This method shuts down all started services and components,
even if an exception occurs in the process of shutting down some component.
@return Future which is completed once the MiniCluster has been completely shut down
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java#L413-L460
|
train
|
Close the Flink Mini Cluster asynchronously.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/URLUtil.java
|
URLUtil.getURL
|
public static URL getURL(File file) {
Assert.notNull(file, "File is null !");
try {
return file.toURI().toURL();
} catch (MalformedURLException e) {
throw new UtilException(e, "Error occured when get URL!");
}
}
|
java
|
public static URL getURL(File file) {
Assert.notNull(file, "File is null !");
try {
return file.toURI().toURL();
} catch (MalformedURLException e) {
throw new UtilException(e, "Error occured when get URL!");
}
}
|
[
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"e",
",",
"\"Error occured when get URL!\"",
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] |
获得URL，常用于使用绝对路径时的情况
@param file URL对应的文件对象
@return URL
@exception UtilException MalformedURLException
|
[
"获得URL，常用于使用绝对路径时的情况"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/URLUtil.java#L156-L163
|
train
|
Gets the URL of a file.
|
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30526
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networknt/light-4j
|
client/src/main/java/org/apache/hc/core5/util/copied/CharArrayBuffer.java
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CharArrayBuffer.append
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public void append(final ByteArrayBuffer b, final int off, final int len) {
if (b == null) {
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append(b.array(), off, len);
}
|
java
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public void append(final ByteArrayBuffer b, final int off, final int len) {
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append(b.array(), off, len);
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
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train
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Append a byte array buffer to the log.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java
|
IterUtil.toMap
|
public static <K, V> HashMap<K, V> toMap(Iterable<Entry<K, V>> entryIter) {
final HashMap<K, V> map = new HashMap<K, V>();
if (isNotEmpty(entryIter)) {
for (Entry<K, V> entry : entryIter) {
map.put(entry.getKey(), entry.getValue());
}
}
return map;
}
|
java
|
public static <K, V> HashMap<K, V> toMap(Iterable<Entry<K, V>> entryIter) {
final HashMap<K, V> map = new HashMap<K, V>();
if (isNotEmpty(entryIter)) {
for (Entry<K, V> entry : entryIter) {
map.put(entry.getKey(), entry.getValue());
}
}
return map;
}
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将Entry集合转换为HashMap
@param <K> 键类型
@param <V> 值类型
@param entryIter entry集合
@return Map
|
[
"将Entry集合转换为HashMap"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java#L349-L357
|
train
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Creates a map from the given iterable of entries.
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networknt/light-4j
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utility/src/main/java/com/networknt/utility/StringUtils.java
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StringUtils.join
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public static String join(final Iterable<?> iterable, final char separator) {
if (iterable == null) {
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}
return join(iterable.iterator(), separator);
}
|
java
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public static String join(final Iterable<?> iterable, final char separator) {
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return join(iterable.iterator(), separator);
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<p>Joins the elements of the provided {@code Iterable} into
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<p>See the examples here: {@link #join(Object[],char)}. </p>
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
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https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/utility/src/main/java/com/networknt/utility/StringUtils.java#L1244-L1249
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train
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/seg/Other/CommonAhoCorasickSegmentUtil.java
|
CommonAhoCorasickSegmentUtil.segment
|
public static <V> LinkedList<ResultTerm<V>> segment(String text, AhoCorasickDoubleArrayTrie<V> trie)
{
return segment(text.toCharArray(), trie);
}
|
java
|
public static <V> LinkedList<ResultTerm<V>> segment(String text, AhoCorasickDoubleArrayTrie<V> trie)
{
return segment(text.toCharArray(), trie);
}
|
[
"public",
"static",
"<",
"V",
">",
"LinkedList",
"<",
"ResultTerm",
"<",
"V",
">",
">",
"segment",
"(",
"String",
"text",
",",
"AhoCorasickDoubleArrayTrie",
"<",
"V",
">",
"trie",
")",
"{",
"return",
"segment",
"(",
"text",
".",
"toCharArray",
"(",
")",
",",
"trie",
")",
";",
"}"
] |
最长分词，合并未知语素
@param text 文本
@param trie 自动机
@param <V> 类型
@return 结果链表
|
[
"最长分词，合并未知语素"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/seg/Other/CommonAhoCorasickSegmentUtil.java#L35-L38
|
train
|
segment a string into a list of terms.
|
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30526
] |
apache/flink
|
flink-core/src/main/java/org/apache/flink/util/InstantiationUtil.java
|
InstantiationUtil.resolveClassByName
|
public static <T> Class<T> resolveClassByName(
DataInputView in,
ClassLoader cl,
Class<? super T> supertype) throws IOException {
final String className = in.readUTF();
final Class<?> rawClazz;
try {
rawClazz = Class.forName(className, false, cl);
}
catch (ClassNotFoundException e) {
throw new IOException(
"Could not find class '" + className + "' in classpath.", e);
}
if (!supertype.isAssignableFrom(rawClazz)) {
throw new IOException("The class " + className + " is not a subclass of " + supertype.getName());
}
@SuppressWarnings("unchecked")
Class<T> clazz = (Class<T>) rawClazz;
return clazz;
}
|
java
|
public static <T> Class<T> resolveClassByName(
DataInputView in,
ClassLoader cl,
Class<? super T> supertype) throws IOException {
final String className = in.readUTF();
final Class<?> rawClazz;
try {
rawClazz = Class.forName(className, false, cl);
}
catch (ClassNotFoundException e) {
throw new IOException(
"Could not find class '" + className + "' in classpath.", e);
}
if (!supertype.isAssignableFrom(rawClazz)) {
throw new IOException("The class " + className + " is not a subclass of " + supertype.getName());
}
@SuppressWarnings("unchecked")
Class<T> clazz = (Class<T>) rawClazz;
return clazz;
}
|
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Loads a class by name from the given input stream and reflectively instantiates it.
<p>This method will use {@link DataInputView#readUTF()} to read the class name, and
then attempt to load the class from the given ClassLoader.
<p>The resolved class is checked to be equal to or a subtype of the given supertype
class.
@param in The stream to read the class name from.
@param cl The class loader to resolve the class.
@param supertype A class that the resolved class must extend.
@throws IOException Thrown, if the class name could not be read, the class could not be found,
or the class is not a subtype of the given supertype class.
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/InstantiationUtil.java#L700-L722
|
train
|
Resolves a class by name.
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java
|
SecureUtil.signParams
|
public static String signParams(DigestAlgorithm digestAlgorithm, Map<?, ?> params, String separator, String keyValueSeparator, boolean isIgnoreNull) {
if (MapUtil.isEmpty(params)) {
return null;
}
final String paramsStr = MapUtil.join(MapUtil.sort(params), separator, keyValueSeparator, isIgnoreNull);
return new Digester(digestAlgorithm).digestHex(paramsStr);
}
|
java
|
public static String signParams(DigestAlgorithm digestAlgorithm, Map<?, ?> params, String separator, String keyValueSeparator, boolean isIgnoreNull) {
if (MapUtil.isEmpty(params)) {
return null;
}
final String paramsStr = MapUtil.join(MapUtil.sort(params), separator, keyValueSeparator, isIgnoreNull);
return new Digester(digestAlgorithm).digestHex(paramsStr);
}
|
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对参数做签名<br>
参数签名为对Map参数按照key的顺序排序后拼接为字符串，然后根据提供的签名算法生成签名字符串
@param digestAlgorithm 摘要算法
@param params 参数
@param separator entry之间的连接符
@param keyValueSeparator kv之间的连接符
@param isIgnoreNull 是否忽略null的键和值
@return 签名
@since 4.0.1
|
[
"对参数做签名<br",
">",
"参数签名为对Map参数按照key的顺序排序后拼接为字符串，然后根据提供的签名算法生成签名字符串"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L920-L926
|
train
|
Sign params.
|
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30526
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apache/flink
|
flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/typeutils/AvroSerializer.java
|
AvroSerializer.enterExclusiveThread
|
private void enterExclusiveThread() {
// we use simple get, check, set here, rather than CAS
// we don't need lock-style correctness, this is only a sanity-check and we thus
// favor speed at the cost of some false negatives in this check
Thread previous = currentThread;
Thread thisThread = Thread.currentThread();
if (previous == null) {
currentThread = thisThread;
}
else if (previous != thisThread) {
throw new IllegalStateException(
"Concurrent access to KryoSerializer. Thread 1: " + thisThread.getName() +
" , Thread 2: " + previous.getName());
}
}
|
java
|
private void enterExclusiveThread() {
// we use simple get, check, set here, rather than CAS
// we don't need lock-style correctness, this is only a sanity-check and we thus
// favor speed at the cost of some false negatives in this check
Thread previous = currentThread;
Thread thisThread = Thread.currentThread();
if (previous == null) {
currentThread = thisThread;
}
else if (previous != thisThread) {
throw new IllegalStateException(
"Concurrent access to KryoSerializer. Thread 1: " + thisThread.getName() +
" , Thread 2: " + previous.getName());
}
}
|
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/typeutils/AvroSerializer.java#L340-L355
|
train
|
Enter an exclusive thread.
|
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flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/AbstractCheckpointStats.java
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AbstractCheckpointStats.getEndToEndDuration
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public long getEndToEndDuration() {
SubtaskStateStats subtask = getLatestAcknowledgedSubtaskStats();
if (subtask != null) {
return Math.max(0, subtask.getAckTimestamp() - triggerTimestamp);
} else {
return -1;
}
}
|
java
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public long getEndToEndDuration() {
SubtaskStateStats subtask = getLatestAcknowledgedSubtaskStats();
if (subtask != null) {
return Math.max(0, subtask.getAckTimestamp() - triggerTimestamp);
} else {
return -1;
}
}
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/DependencyCustomizer.java
|
DependencyCustomizer.ifAnyMissingClasses
|
public DependencyCustomizer ifAnyMissingClasses(String... classNames) {
return new DependencyCustomizer(this) {
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protected boolean canAdd() {
for (String className : classNames) {
try {
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|
java
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public DependencyCustomizer ifAnyMissingClasses(String... classNames) {
return new DependencyCustomizer(this) {
@Override
protected boolean canAdd() {
for (String className : classNames) {
try {
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catch (Exception ex) {
return true;
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}
return false;
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@param classNames the class names to test
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|
[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/DependencyCustomizer.java#L91-L106
|
train
|
Creates a dependency customizer that will add classes that are missing from the classpath.
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/WindowedStream.java
|
WindowedStream.aggregate
|
@PublicEvolving
public <ACC, V, R> SingleOutputStreamOperator<R> aggregate(
AggregateFunction<T, ACC, V> aggregateFunction,
WindowFunction<V, R, K, W> windowFunction,
TypeInformation<ACC> accumulatorType,
TypeInformation<R> resultType) {
checkNotNull(aggregateFunction, "aggregateFunction");
checkNotNull(windowFunction, "windowFunction");
checkNotNull(accumulatorType, "accumulatorType");
checkNotNull(resultType, "resultType");
if (aggregateFunction instanceof RichFunction) {
throw new UnsupportedOperationException("This aggregate function cannot be a RichFunction.");
}
//clean the closures
windowFunction = input.getExecutionEnvironment().clean(windowFunction);
aggregateFunction = input.getExecutionEnvironment().clean(aggregateFunction);
final String opName = generateOperatorName(windowAssigner, trigger, evictor, aggregateFunction, windowFunction);
KeySelector<T, K> keySel = input.getKeySelector();
OneInputStreamOperator<T, R> operator;
if (evictor != null) {
@SuppressWarnings({"unchecked", "rawtypes"})
TypeSerializer<StreamRecord<T>> streamRecordSerializer =
(TypeSerializer<StreamRecord<T>>) new StreamElementSerializer(input.getType().createSerializer(getExecutionEnvironment().getConfig()));
ListStateDescriptor<StreamRecord<T>> stateDesc =
new ListStateDescriptor<>("window-contents", streamRecordSerializer);
operator = new EvictingWindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalIterableWindowFunction<>(new AggregateApplyWindowFunction<>(aggregateFunction, windowFunction)),
trigger,
evictor,
allowedLateness,
lateDataOutputTag);
} else {
AggregatingStateDescriptor<T, ACC, V> stateDesc = new AggregatingStateDescriptor<>("window-contents",
aggregateFunction, accumulatorType.createSerializer(getExecutionEnvironment().getConfig()));
operator = new WindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalSingleValueWindowFunction<>(windowFunction),
trigger,
allowedLateness,
lateDataOutputTag);
}
return input.transform(opName, resultType, operator);
}
|
java
|
@PublicEvolving
public <ACC, V, R> SingleOutputStreamOperator<R> aggregate(
AggregateFunction<T, ACC, V> aggregateFunction,
WindowFunction<V, R, K, W> windowFunction,
TypeInformation<ACC> accumulatorType,
TypeInformation<R> resultType) {
checkNotNull(aggregateFunction, "aggregateFunction");
checkNotNull(windowFunction, "windowFunction");
checkNotNull(accumulatorType, "accumulatorType");
checkNotNull(resultType, "resultType");
if (aggregateFunction instanceof RichFunction) {
throw new UnsupportedOperationException("This aggregate function cannot be a RichFunction.");
}
//clean the closures
windowFunction = input.getExecutionEnvironment().clean(windowFunction);
aggregateFunction = input.getExecutionEnvironment().clean(aggregateFunction);
final String opName = generateOperatorName(windowAssigner, trigger, evictor, aggregateFunction, windowFunction);
KeySelector<T, K> keySel = input.getKeySelector();
OneInputStreamOperator<T, R> operator;
if (evictor != null) {
@SuppressWarnings({"unchecked", "rawtypes"})
TypeSerializer<StreamRecord<T>> streamRecordSerializer =
(TypeSerializer<StreamRecord<T>>) new StreamElementSerializer(input.getType().createSerializer(getExecutionEnvironment().getConfig()));
ListStateDescriptor<StreamRecord<T>> stateDesc =
new ListStateDescriptor<>("window-contents", streamRecordSerializer);
operator = new EvictingWindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalIterableWindowFunction<>(new AggregateApplyWindowFunction<>(aggregateFunction, windowFunction)),
trigger,
evictor,
allowedLateness,
lateDataOutputTag);
} else {
AggregatingStateDescriptor<T, ACC, V> stateDesc = new AggregatingStateDescriptor<>("window-contents",
aggregateFunction, accumulatorType.createSerializer(getExecutionEnvironment().getConfig()));
operator = new WindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalSingleValueWindowFunction<>(windowFunction),
trigger,
allowedLateness,
lateDataOutputTag);
}
return input.transform(opName, resultType, operator);
}
|
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Applies the given window function to each window. The window function is called for each
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<p>Arriving data is incrementally aggregated using the given aggregate function. This means
that the window function typically has only a single value to process when called.
@param aggregateFunction The aggregation function that is used for incremental aggregation.
@param windowFunction The window function.
@param accumulatorType Type information for the internal accumulator type of the aggregation function
@param resultType Type information for the result type of the window function
@return The data stream that is the result of applying the window function to the window.
@param <ACC> The type of the AggregateFunction's accumulator
@param <V> The type of AggregateFunction's result, and the WindowFunction's input
@param <R> The type of the elements in the resulting stream, equal to the
WindowFunction's result type
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/WindowedStream.java#L791-L851
|
train
|
Creates an operator that aggregates the contents of the input stream using the given window function and accumulator type.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/IdcardUtil.java
|
IdcardUtil.hide
|
public static String hide(String idCard, int startInclude, int endExclude) {
return StrUtil.hide(idCard, startInclude, endExclude);
}
|
java
|
public static String hide(String idCard, int startInclude, int endExclude) {
return StrUtil.hide(idCard, startInclude, endExclude);
}
|
[
"public",
"static",
"String",
"hide",
"(",
"String",
"idCard",
",",
"int",
"startInclude",
",",
"int",
"endExclude",
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"{",
"return",
"StrUtil",
".",
"hide",
"(",
"idCard",
",",
"startInclude",
",",
"endExclude",
")",
";",
"}"
] |
隐藏指定位置的几个身份证号数字为“*”
@param idCard 身份证号
@param startInclude 开始位置（包含）
@param endExclude 结束位置（不包含）
@return 隐藏后的身份证号码
@since 3.2.2
@see StrUtil#hide(CharSequence, int, int)
|
[
"隐藏指定位置的几个身份证号数字为“",
"*",
"”"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/IdcardUtil.java#L525-L527
|
train
|
Hide the id card.
|
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskExecutorBuilder.java
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TaskExecutorBuilder.additionalCustomizers
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public TaskExecutorBuilder additionalCustomizers(
TaskExecutorCustomizer... customizers) {
Assert.notNull(customizers, "Customizers must not be null");
return additionalCustomizers(Arrays.asList(customizers));
}
|
java
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public TaskExecutorBuilder additionalCustomizers(
TaskExecutorCustomizer... customizers) {
Assert.notNull(customizers, "Customizers must not be null");
return additionalCustomizers(Arrays.asList(customizers));
}
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Add {@link TaskExecutorCustomizer TaskExecutorCustomizers} that should be applied
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@param customizers the customizers to add
@return a new builder instance
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[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskExecutorBuilder.java#L262-L266
|
train
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Add additional customizers to the task executor.
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30526
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/common/CommonSynonymDictionaryEx.java
|
CommonSynonymDictionaryEx.distance
|
public long distance(String a, String b)
{
Long[] itemA = get(a);
if (itemA == null) return Long.MAX_VALUE / 3;
Long[] itemB = get(b);
if (itemB == null) return Long.MAX_VALUE / 3;
return ArrayDistance.computeAverageDistance(itemA, itemB);
}
|
java
|
public long distance(String a, String b)
{
Long[] itemA = get(a);
if (itemA == null) return Long.MAX_VALUE / 3;
Long[] itemB = get(b);
if (itemB == null) return Long.MAX_VALUE / 3;
return ArrayDistance.computeAverageDistance(itemA, itemB);
}
|
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";",
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] |
语义距离
@param a
@param b
@return
|
[
"语义距离"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/common/CommonSynonymDictionaryEx.java#L109-L117
|
train
|
Compute the distance between two URIs.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/seg/Segment.java
|
Segment.combineByCustomDictionary
|
protected static List<Vertex> combineByCustomDictionary(List<Vertex> vertexList, DoubleArrayTrie<CoreDictionary.Attribute> dat)
{
assert vertexList.size() >= 2 : "vertexList至少包含 始##始 和 末##末";
Vertex[] wordNet = new Vertex[vertexList.size()];
vertexList.toArray(wordNet);
// DAT合并
int length = wordNet.length - 1; // 跳过首尾
for (int i = 1; i < length; ++i)
{
int state = 1;
state = dat.transition(wordNet[i].realWord, state);
if (state > 0)
{
int to = i + 1;
int end = to;
CoreDictionary.Attribute value = dat.output(state);
for (; to < length; ++to)
{
state = dat.transition(wordNet[to].realWord, state);
if (state < 0) break;
CoreDictionary.Attribute output = dat.output(state);
if (output != null)
{
value = output;
end = to + 1;
}
}
if (value != null)
{
combineWords(wordNet, i, end, value);
i = end - 1;
}
}
}
// BinTrie合并
if (CustomDictionary.trie != null)
{
for (int i = 1; i < length; ++i)
{
if (wordNet[i] == null) continue;
BaseNode<CoreDictionary.Attribute> state = CustomDictionary.trie.transition(wordNet[i].realWord.toCharArray(), 0);
if (state != null)
{
int to = i + 1;
int end = to;
CoreDictionary.Attribute value = state.getValue();
for (; to < length; ++to)
{
if (wordNet[to] == null) continue;
state = state.transition(wordNet[to].realWord.toCharArray(), 0);
if (state == null) break;
if (state.getValue() != null)
{
value = state.getValue();
end = to + 1;
}
}
if (value != null)
{
combineWords(wordNet, i, end, value);
i = end - 1;
}
}
}
}
vertexList.clear();
for (Vertex vertex : wordNet)
{
if (vertex != null) vertexList.add(vertex);
}
return vertexList;
}
|
java
|
protected static List<Vertex> combineByCustomDictionary(List<Vertex> vertexList, DoubleArrayTrie<CoreDictionary.Attribute> dat)
{
assert vertexList.size() >= 2 : "vertexList至少包含 始##始 和 末##末";
Vertex[] wordNet = new Vertex[vertexList.size()];
vertexList.toArray(wordNet);
// DAT合并
int length = wordNet.length - 1; // 跳过首尾
for (int i = 1; i < length; ++i)
{
int state = 1;
state = dat.transition(wordNet[i].realWord, state);
if (state > 0)
{
int to = i + 1;
int end = to;
CoreDictionary.Attribute value = dat.output(state);
for (; to < length; ++to)
{
state = dat.transition(wordNet[to].realWord, state);
if (state < 0) break;
CoreDictionary.Attribute output = dat.output(state);
if (output != null)
{
value = output;
end = to + 1;
}
}
if (value != null)
{
combineWords(wordNet, i, end, value);
i = end - 1;
}
}
}
// BinTrie合并
if (CustomDictionary.trie != null)
{
for (int i = 1; i < length; ++i)
{
if (wordNet[i] == null) continue;
BaseNode<CoreDictionary.Attribute> state = CustomDictionary.trie.transition(wordNet[i].realWord.toCharArray(), 0);
if (state != null)
{
int to = i + 1;
int end = to;
CoreDictionary.Attribute value = state.getValue();
for (; to < length; ++to)
{
if (wordNet[to] == null) continue;
state = state.transition(wordNet[to].realWord.toCharArray(), 0);
if (state == null) break;
if (state.getValue() != null)
{
value = state.getValue();
end = to + 1;
}
}
if (value != null)
{
combineWords(wordNet, i, end, value);
i = end - 1;
}
}
}
}
vertexList.clear();
for (Vertex vertex : wordNet)
{
if (vertex != null) vertexList.add(vertex);
}
return vertexList;
}
|
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使用用户词典合并粗分结果
@param vertexList 粗分结果
@param dat 用户自定义词典
@return 合并后的结果
|
[
"使用用户词典合并粗分结果"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/seg/Segment.java#L208-L279
|
train
|
Combine by custom dictionary
|
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/SslContext.java
|
SslContext.newHandler
|
public final SslHandler newHandler(ByteBufAllocator alloc, String peerHost, int peerPort) {
return newHandler(alloc, peerHost, peerPort, startTls);
}
|
java
|
public final SslHandler newHandler(ByteBufAllocator alloc, String peerHost, int peerPort) {
return newHandler(alloc, peerHost, peerPort, startTls);
}
|
[
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Creates a new {@link SslHandler}
@see #newHandler(ByteBufAllocator, String, int, Executor)
|
[
"Creates",
"a",
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"@link",
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/SslContext.java#L941-L943
|
train
|
Create a new SslHandler.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/operators/async/queue/UnorderedStreamElementQueue.java
|
UnorderedStreamElementQueue.addEntry
|
private <T> void addEntry(StreamElementQueueEntry<T> streamElementQueueEntry) {
assert(lock.isHeldByCurrentThread());
if (streamElementQueueEntry.isWatermark()) {
lastSet = new HashSet<>(capacity);
if (firstSet.isEmpty()) {
firstSet.add(streamElementQueueEntry);
} else {
Set<StreamElementQueueEntry<?>> watermarkSet = new HashSet<>(1);
watermarkSet.add(streamElementQueueEntry);
uncompletedQueue.offer(watermarkSet);
}
uncompletedQueue.offer(lastSet);
} else {
lastSet.add(streamElementQueueEntry);
}
streamElementQueueEntry.onComplete(
(StreamElementQueueEntry<T> value) -> {
try {
onCompleteHandler(value);
} catch (InterruptedException e) {
// The accept executor thread got interrupted. This is probably cause by
// the shutdown of the executor.
LOG.debug("AsyncBufferEntry could not be properly completed because the " +
"executor thread has been interrupted.", e);
} catch (Throwable t) {
operatorActions.failOperator(new Exception("Could not complete the " +
"stream element queue entry: " + value + '.', t));
}
},
executor);
numberEntries++;
}
|
java
|
private <T> void addEntry(StreamElementQueueEntry<T> streamElementQueueEntry) {
assert(lock.isHeldByCurrentThread());
if (streamElementQueueEntry.isWatermark()) {
lastSet = new HashSet<>(capacity);
if (firstSet.isEmpty()) {
firstSet.add(streamElementQueueEntry);
} else {
Set<StreamElementQueueEntry<?>> watermarkSet = new HashSet<>(1);
watermarkSet.add(streamElementQueueEntry);
uncompletedQueue.offer(watermarkSet);
}
uncompletedQueue.offer(lastSet);
} else {
lastSet.add(streamElementQueueEntry);
}
streamElementQueueEntry.onComplete(
(StreamElementQueueEntry<T> value) -> {
try {
onCompleteHandler(value);
} catch (InterruptedException e) {
// The accept executor thread got interrupted. This is probably cause by
// the shutdown of the executor.
LOG.debug("AsyncBufferEntry could not be properly completed because the " +
"executor thread has been interrupted.", e);
} catch (Throwable t) {
operatorActions.failOperator(new Exception("Could not complete the " +
"stream element queue entry: " + value + '.', t));
}
},
executor);
numberEntries++;
}
|
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Add the given stream element queue entry to the current last set if it is not a watermark.
If it is a watermark, then stop adding to the current last set, insert the watermark into its
own set and add a new last set.
@param streamElementQueueEntry to be inserted
@param <T> Type of the stream element queue entry's result
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/operators/async/queue/UnorderedStreamElementQueue.java#L269-L304
|
train
|
Add a new entry to the async buffer.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java
|
JSONObject.optInt
|
public int optInt(String name, int fallback) {
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|
java
|
public int optInt(String name, int fallback) {
Object object = opt(name);
Integer result = JSON.toInteger(object);
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java#L504-L508
|
train
|
Get the optional int value associated with the given name.
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyServletWebServerFactory.java
|
JettyServletWebServerFactory.addJspServlet
|
protected final void addJspServlet(WebAppContext context) {
Assert.notNull(context, "Context must not be null");
ServletHolder holder = new ServletHolder();
holder.setName("jsp");
holder.setClassName(getJsp().getClassName());
holder.setInitParameter("fork", "false");
holder.setInitParameters(getJsp().getInitParameters());
holder.setInitOrder(3);
context.getServletHandler().addServlet(holder);
ServletMapping mapping = new ServletMapping();
mapping.setServletName("jsp");
mapping.setPathSpecs(new String[] { "*.jsp", "*.jspx" });
context.getServletHandler().addServletMapping(mapping);
}
|
java
|
protected final void addJspServlet(WebAppContext context) {
Assert.notNull(context, "Context must not be null");
ServletHolder holder = new ServletHolder();
holder.setName("jsp");
holder.setClassName(getJsp().getClassName());
holder.setInitParameter("fork", "false");
holder.setInitParameters(getJsp().getInitParameters());
holder.setInitOrder(3);
context.getServletHandler().addServlet(holder);
ServletMapping mapping = new ServletMapping();
mapping.setServletName("jsp");
mapping.setPathSpecs(new String[] { "*.jsp", "*.jspx" });
context.getServletHandler().addServletMapping(mapping);
}
|
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Add Jetty's {@code JspServlet} to the given {@link WebAppContext}.
@param context the jetty {@link WebAppContext}
|
[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyServletWebServerFactory.java#L312-L325
|
train
|
Adds the jsp servlet to the web application context.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/types/StringValue.java
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StringValue.setValue
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public void setValue(StringValue value, int offset, int len) {
checkNotNull(value);
setValue(value.value, offset, len);
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|
java
|
public void setValue(StringValue value, int offset, int len) {
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setValue(value.value, offset, len);
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Sets the value of the StringValue to a substring of the given string.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/StringValue.java#L172-L175
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train
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Sets the value of the specified String value.
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/URLUtil.java
|
URLUtil.isJarFileURL
|
public static boolean isJarFileURL(URL url) {
return (URL_PROTOCOL_FILE.equals(url.getProtocol()) && //
url.getPath().toLowerCase().endsWith(FileUtil.JAR_FILE_EXT));
}
|
java
|
public static boolean isJarFileURL(URL url) {
return (URL_PROTOCOL_FILE.equals(url.getProtocol()) && //
url.getPath().toLowerCase().endsWith(FileUtil.JAR_FILE_EXT));
}
|
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提供的URL是否为Jar文件URL 判断依据为file协议且扩展名为.jar
@param url the URL to check
@return whether the URL has been identified as a JAR file URL
@since 4.1
|
[
"提供的URL是否为Jar文件URL",
"判断依据为file协议且扩展名为",
".",
"jar"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/URLUtil.java#L494-L497
|
train
|
Checks if the given URL is a jar file URL.
|
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30526
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/CoreDictionary.java
|
CoreDictionary.getTermFrequency
|
public static int getTermFrequency(String term)
{
Attribute attribute = get(term);
if (attribute == null) return 0;
return attribute.totalFrequency;
}
|
java
|
public static int getTermFrequency(String term)
{
Attribute attribute = get(term);
if (attribute == null) return 0;
return attribute.totalFrequency;
}
|
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";",
"}"
] |
获取词频
@param term
@return
|
[
"获取词频"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/CoreDictionary.java#L193-L198
|
train
|
Gets the term frequency.
|
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apache/flink
|
flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java
|
Configuration.getAlternativeNames
|
private String[] getAlternativeNames(String name) {
String altNames[] = null;
DeprecatedKeyInfo keyInfo = null;
DeprecationContext cur = deprecationContext.get();
String depKey = cur.getReverseDeprecatedKeyMap().get(name);
if(depKey != null) {
keyInfo = cur.getDeprecatedKeyMap().get(depKey);
if(keyInfo.newKeys.length > 0) {
if(getProps().containsKey(depKey)) {
//if deprecated key is previously set explicitly
List<String> list = new ArrayList<String>();
list.addAll(Arrays.asList(keyInfo.newKeys));
list.add(depKey);
altNames = list.toArray(new String[list.size()]);
}
else {
altNames = keyInfo.newKeys;
}
}
}
return altNames;
}
|
java
|
private String[] getAlternativeNames(String name) {
String altNames[] = null;
DeprecatedKeyInfo keyInfo = null;
DeprecationContext cur = deprecationContext.get();
String depKey = cur.getReverseDeprecatedKeyMap().get(name);
if(depKey != null) {
keyInfo = cur.getDeprecatedKeyMap().get(depKey);
if(keyInfo.newKeys.length > 0) {
if(getProps().containsKey(depKey)) {
//if deprecated key is previously set explicitly
List<String> list = new ArrayList<String>();
list.addAll(Arrays.asList(keyInfo.newKeys));
list.add(depKey);
altNames = list.toArray(new String[list.size()]);
}
else {
altNames = keyInfo.newKeys;
}
}
}
return altNames;
}
|
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Returns alternative names (non-deprecated keys or previously-set deprecated keys)
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@param name property name.
@return alternative names.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java#L1180-L1201
|
train
|
Get the alternative names for a property.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/seg/common/Vertex.java
|
Vertex.newJapanesePersonInstance
|
public static Vertex newJapanesePersonInstance(String realWord, int frequency)
{
return new Vertex(Predefine.TAG_PEOPLE, realWord, new CoreDictionary.Attribute(Nature.nrj, frequency));
}
|
java
|
public static Vertex newJapanesePersonInstance(String realWord, int frequency)
{
return new Vertex(Predefine.TAG_PEOPLE, realWord, new CoreDictionary.Attribute(Nature.nrj, frequency));
}
|
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创建一个日本人名实例
@param realWord
@return
|
[
"创建一个日本人名实例"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/seg/common/Vertex.java#L397-L400
|
train
|
Create a Japanese Person Vertex.
|
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apache/flink
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flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
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Graph.filterOnEdges
|
public Graph<K, VV, EV> filterOnEdges(FilterFunction<Edge<K, EV>> edgeFilter) {
DataSet<Edge<K, EV>> filteredEdges = this.edges.filter(edgeFilter).name("Filter on edges");
return new Graph<>(this.vertices, filteredEdges, this.context);
}
|
java
|
public Graph<K, VV, EV> filterOnEdges(FilterFunction<Edge<K, EV>> edgeFilter) {
DataSet<Edge<K, EV>> filteredEdges = this.edges.filter(edgeFilter).name("Filter on edges");
return new Graph<>(this.vertices, filteredEdges, this.context);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L907-L911
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train
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Filters the edges of this graph by applying the given filter function to each edge.
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apache/spark
|
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java
|
WritableColumnVector.getArray
|
@Override
public final ColumnarArray getArray(int rowId) {
if (isNullAt(rowId)) return null;
return new ColumnarArray(arrayData(), getArrayOffset(rowId), getArrayLength(rowId));
}
|
java
|
@Override
public final ColumnarArray getArray(int rowId) {
if (isNullAt(rowId)) return null;
return new ColumnarArray(arrayData(), getArrayOffset(rowId), getArrayLength(rowId));
}
|
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array offsets and lengths in the current column vector.
|
[
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java#L623-L627
|
train
|
Gets the columnar array at the given row id.
|
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30526
] |
apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
|
SqlValidatorImpl.validateValues
|
protected void validateValues(
SqlCall node,
RelDataType targetRowType,
final SqlValidatorScope scope) {
assert node.getKind() == SqlKind.VALUES;
final List<SqlNode> operands = node.getOperandList();
for (SqlNode operand : operands) {
if (!(operand.getKind() == SqlKind.ROW)) {
throw Util.needToImplement(
"Values function where operands are scalars");
}
SqlCall rowConstructor = (SqlCall) operand;
if (conformance.isInsertSubsetColumnsAllowed() && targetRowType.isStruct()
&& rowConstructor.operandCount() < targetRowType.getFieldCount()) {
targetRowType =
typeFactory.createStructType(
targetRowType.getFieldList()
.subList(0, rowConstructor.operandCount()));
} else if (targetRowType.isStruct()
&& rowConstructor.operandCount() != targetRowType.getFieldCount()) {
return;
}
inferUnknownTypes(
targetRowType,
scope,
rowConstructor);
if (targetRowType.isStruct()) {
for (Pair<SqlNode, RelDataTypeField> pair
: Pair.zip(rowConstructor.getOperandList(),
targetRowType.getFieldList())) {
if (!pair.right.getType().isNullable()
&& SqlUtil.isNullLiteral(pair.left, false)) {
throw newValidationError(node,
RESOURCE.columnNotNullable(pair.right.getName()));
}
}
}
}
for (SqlNode operand : operands) {
operand.validate(this, scope);
}
// validate that all row types have the same number of columns
// and that expressions in each column are compatible.
// A values expression is turned into something that looks like
// ROW(type00, type01,...), ROW(type11,...),...
final int rowCount = operands.size();
if (rowCount >= 2) {
SqlCall firstRow = (SqlCall) operands.get(0);
final int columnCount = firstRow.operandCount();
// 1. check that all rows have the same cols length
for (SqlNode operand : operands) {
SqlCall thisRow = (SqlCall) operand;
if (columnCount != thisRow.operandCount()) {
throw newValidationError(node,
RESOURCE.incompatibleValueType(
SqlStdOperatorTable.VALUES.getName()));
}
}
// 2. check if types at i:th position in each row are compatible
for (int col = 0; col < columnCount; col++) {
final int c = col;
final RelDataType type =
typeFactory.leastRestrictive(
new AbstractList<RelDataType>() {
public RelDataType get(int row) {
SqlCall thisRow = (SqlCall) operands.get(row);
return deriveType(scope, thisRow.operand(c));
}
public int size() {
return rowCount;
}
});
if (null == type) {
throw newValidationError(node,
RESOURCE.incompatibleValueType(
SqlStdOperatorTable.VALUES.getName()));
}
}
}
}
|
java
|
protected void validateValues(
SqlCall node,
RelDataType targetRowType,
final SqlValidatorScope scope) {
assert node.getKind() == SqlKind.VALUES;
final List<SqlNode> operands = node.getOperandList();
for (SqlNode operand : operands) {
if (!(operand.getKind() == SqlKind.ROW)) {
throw Util.needToImplement(
"Values function where operands are scalars");
}
SqlCall rowConstructor = (SqlCall) operand;
if (conformance.isInsertSubsetColumnsAllowed() && targetRowType.isStruct()
&& rowConstructor.operandCount() < targetRowType.getFieldCount()) {
targetRowType =
typeFactory.createStructType(
targetRowType.getFieldList()
.subList(0, rowConstructor.operandCount()));
} else if (targetRowType.isStruct()
&& rowConstructor.operandCount() != targetRowType.getFieldCount()) {
return;
}
inferUnknownTypes(
targetRowType,
scope,
rowConstructor);
if (targetRowType.isStruct()) {
for (Pair<SqlNode, RelDataTypeField> pair
: Pair.zip(rowConstructor.getOperandList(),
targetRowType.getFieldList())) {
if (!pair.right.getType().isNullable()
&& SqlUtil.isNullLiteral(pair.left, false)) {
throw newValidationError(node,
RESOURCE.columnNotNullable(pair.right.getName()));
}
}
}
}
for (SqlNode operand : operands) {
operand.validate(this, scope);
}
// validate that all row types have the same number of columns
// and that expressions in each column are compatible.
// A values expression is turned into something that looks like
// ROW(type00, type01,...), ROW(type11,...),...
final int rowCount = operands.size();
if (rowCount >= 2) {
SqlCall firstRow = (SqlCall) operands.get(0);
final int columnCount = firstRow.operandCount();
// 1. check that all rows have the same cols length
for (SqlNode operand : operands) {
SqlCall thisRow = (SqlCall) operand;
if (columnCount != thisRow.operandCount()) {
throw newValidationError(node,
RESOURCE.incompatibleValueType(
SqlStdOperatorTable.VALUES.getName()));
}
}
// 2. check if types at i:th position in each row are compatible
for (int col = 0; col < columnCount; col++) {
final int c = col;
final RelDataType type =
typeFactory.leastRestrictive(
new AbstractList<RelDataType>() {
public RelDataType get(int row) {
SqlCall thisRow = (SqlCall) operands.get(row);
return deriveType(scope, thisRow.operand(c));
}
public int size() {
return rowCount;
}
});
if (null == type) {
throw newValidationError(node,
RESOURCE.incompatibleValueType(
SqlStdOperatorTable.VALUES.getName()));
}
}
}
}
|
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] |
Validates a VALUES clause.
@param node Values clause
@param targetRowType Row type which expression must conform to
@param scope Scope within which clause occurs
|
[
"Validates",
"a",
"VALUES",
"clause",
"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L4656-L4745
|
train
|
Validate the VALUES node.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/suggest/Suggester.java
|
Suggester.max
|
private static Double max(Map<String, Double> map)
{
Double theMax = 0.0;
for (Double v : map.values())
{
theMax = Math.max(theMax, v);
}
return theMax;
}
|
java
|
private static Double max(Map<String, Double> map)
{
Double theMax = 0.0;
for (Double v : map.values())
{
theMax = Math.max(theMax, v);
}
return theMax;
}
|
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从map的值中找出最大值，这个值是从0开始的
@param map
@return
|
[
"从map的值中找出最大值，这个值是从0开始的"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/suggest/Suggester.java#L131-L140
|
train
|
Get the max value of a map of CRAs.
|
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