aalexchengg/code-search-net-java_variance_subset

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looly/hutool	hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java	BeanUtil.hasNull	public static boolean hasNull(Object bean) { final Field[] fields = ClassUtil.getDeclaredFields(bean.getClass()); Object fieldValue = null; for (Field field : fields) { field.setAccessible(true); try { fieldValue = field.get(bean); } catch (Exception e) { //ignore } if (null == fieldValue) { return true; } } return false; }	java	public static boolean hasNull(Object bean) { final Field[] fields = ClassUtil.getDeclaredFields(bean.getClass()); Object fieldValue = null; for (Field field : fields) { field.setAccessible(true); try { fieldValue = field.get(bean); } catch (Exception e) { //ignore } if (null == fieldValue) { return true; } } return false; }	[ "public", "static", "boolean", "hasNull", "(", "Object", "bean", ")", "{", "final", "Field", "[", "]", "fields", "=", "ClassUtil", ".", "getDeclaredFields", "(", "bean", ".", "getClass", "(", ")", ")", ";", "Object", "fieldValue", "=", "null", ";", "for", "(", "Field", "field", ":", "fields", ")", "{", "field", ".", "setAccessible", "(", "true", ")", ";", "try", "{", "fieldValue", "=", "field", ".", "get", "(", "bean", ")", ";", "}", "catch", "(", "Exception", "e", ")", "{", "//ignore\r", "}", "if", "(", "null", "==", "fieldValue", ")", "{", "return", "true", ";", "}", "}", "return", "false", ";", "}" ]	判断Bean中是否有值为null的字段 @param bean Bean @return 是否有值为null的字段	[ "判断Bean中是否有值为null的字段" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java#L126-L142	train	Returns true if the specified object has null fields.	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apache/flink	flink-java/src/main/java/org/apache/flink/api/java/DataSet.java	DataSet.crossWithHuge	public <R> CrossOperator.DefaultCross<T, R> crossWithHuge(DataSet<R> other) { return new CrossOperator.DefaultCross<>(this, other, CrossHint.FIRST_IS_SMALL, Utils.getCallLocationName()); }	java	public <R> CrossOperator.DefaultCross<T, R> crossWithHuge(DataSet<R> other) { return new CrossOperator.DefaultCross<>(this, other, CrossHint.FIRST_IS_SMALL, Utils.getCallLocationName()); }	[ "public", "<", "R", ">", "CrossOperator", ".", "DefaultCross", "<", "T", ",", "R", ">", "crossWithHuge", "(", "DataSet", "<", "R", ">", "other", ")", "{", "return", "new", "CrossOperator", ".", "DefaultCross", "<>", "(", "this", ",", "other", ",", "CrossHint", ".", "FIRST_IS_SMALL", ",", "Utils", ".", "getCallLocationName", "(", ")", ")", ";", "}" ]	Initiates a Cross transformation. <p>A Cross transformation combines the elements of two {@link DataSet DataSets} into one DataSet. It builds all pair combinations of elements of both DataSets, i.e., it builds a Cartesian product. This method also gives the hint to the optimizer that the second DataSet to cross is much larger than the first one. <p>The resulting {@link org.apache.flink.api.java.operators.CrossOperator.DefaultCross} wraps each pair of crossed elements into a {@link Tuple2}, with the element of the first input being the first field of the tuple and the element of the second input being the second field of the tuple. <p>Call {@link org.apache.flink.api.java.operators.CrossOperator.DefaultCross#with(org.apache.flink.api.common.functions.CrossFunction)} to define a {@link org.apache.flink.api.common.functions.CrossFunction} which is called for each pair of crossed elements. The CrossFunction returns a exactly one element for each pair of input elements. @param other The other DataSet with which this DataSet is crossed. @return A DefaultCross that returns a Tuple2 for each pair of crossed elements. @see org.apache.flink.api.java.operators.CrossOperator.DefaultCross @see org.apache.flink.api.common.functions.CrossFunction @see DataSet @see Tuple2	[ "Initiates", "a", "Cross", "transformation", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1118-L1120	train	Cross with huge data set.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/dictionary/TransformMatrixDictionary.java	TransformMatrixDictionary.getFrequency	public int getFrequency(String from, String to) { return getFrequency(convert(from), convert(to)); }	java	public int getFrequency(String from, String to) { return getFrequency(convert(from), convert(to)); }	[ "public", "int", "getFrequency", "(", "String", "from", ",", "String", "to", ")", "{", "return", "getFrequency", "(", "convert", "(", "from", ")", ",", "convert", "(", "to", ")", ")", ";", "}" ]	获取转移频次 @param from @param to @return	[ "获取转移频次" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/TransformMatrixDictionary.java#L43-L46	train	Gets the frequency of a sequence from a sequence of tokens to a sequence of tokens.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/BufferFileChannelReader.java	BufferFileChannelReader.readBufferFromFileChannel	public boolean readBufferFromFileChannel(Buffer buffer) throws IOException { checkArgument(fileChannel.size() - fileChannel.position() > 0); // Read header header.clear(); fileChannel.read(header); header.flip(); final boolean isBuffer = header.getInt() == 1; final int size = header.getInt(); if (size > buffer.getMaxCapacity()) { throw new IllegalStateException("Buffer is too small for data: " + buffer.getMaxCapacity() + " bytes available, but " + size + " needed. 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looly/hutool	hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelBase.java	ExcelBase.close	@Override public void close() { IoUtil.close(this.workbook); this.sheet = null; this.workbook = null; this.isClosed = true; }	java	@Override public void close() { IoUtil.close(this.workbook); this.sheet = null; this.workbook = null; this.isClosed = true; }	[ "@", "Override", "public", "void", "close", "(", ")", "{", "IoUtil", ".", "close", "(", "this", ".", "workbook", ")", ";", "this", ".", "sheet", "=", "null", ";", "this", ".", "workbook", "=", "null", ";", "this", ".", "isClosed", "=", "true", ";", "}" ]	关闭工作簿<br> 如果用户设定了目标文件，先写出目标文件后给关闭工作簿	[ "关闭工作簿<br", ">", "如果用户设定了目标文件，先写出目标文件后给关闭工作簿" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelBase.java#L302-L308	train	Closes the related resources.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java	ReflectUtil.hasField	public static boolean hasField(Class<?> beanClass, String name) throws SecurityException { return null != getField(beanClass, name); }	java	public static boolean hasField(Class<?> beanClass, String name) throws SecurityException { return null != getField(beanClass, name); }	[ "public", "static", "boolean", "hasField", "(", "Class", "<", "?", ">", "beanClass", ",", "String", "name", ")", "throws", "SecurityException", "{", "return", "null", "!=", "getField", "(", "beanClass", ",", "name", ")", ";", "}" ]	查找指定类中是否包含指定名称对应的字段，包括所有字段（包括非public字段），也包括父类和Object类的字段 @param beanClass 被查找字段的类,不能为null @param name 字段名 @return 是否包含字段 @throws SecurityException 安全异常 @since 4.1.21	[ "查找指定类中是否包含指定名称对应的字段，包括所有字段（包括非public字段），也包括父类和Object类的字段" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L103-L105	train	Checks if the specified field is present in the specified class.	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netty/netty	transport/src/main/java/io/netty/channel/embedded/EmbeddedChannel.java	EmbeddedChannel.runPendingTasks	public void runPendingTasks() { try { loop.runTasks(); } catch (Exception e) { recordException(e); } try { loop.runScheduledTasks(); } catch (Exception e) { recordException(e); } }	java	public void runPendingTasks() { try { loop.runTasks(); } catch (Exception e) { recordException(e); } try { loop.runScheduledTasks(); } catch (Exception e) { recordException(e); } }	[ "public", "void", "runPendingTasks", "(", ")", "{", "try", "{", "loop", ".", "runTasks", "(", ")", ";", "}", "catch", "(", "Exception", "e", ")", "{", "recordException", "(", "e", ")", ";", "}", "try", "{", "loop", ".", "runScheduledTasks", "(", ")", ";", "}", "catch", "(", "Exception", "e", ")", "{", "recordException", "(", "e", ")", ";", "}", "}" ]	Run all tasks (which also includes scheduled tasks) that are pending in the {@link EventLoop} for this {@link Channel}	[ "Run", "all", "tasks", "(", "which", "also", "includes", "scheduled", "tasks", ")", "that", "are", "pending", "in", "the", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/embedded/EmbeddedChannel.java#L576-L588	train	Run pending tasks.	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apache/flink	flink-java/src/main/java/org/apache/flink/api/java/operators/TwoInputUdfOperator.java	TwoInputUdfOperator.withParameters	@Override public O withParameters(Configuration parameters) { this.parameters = parameters; @SuppressWarnings("unchecked") O returnType = (O) this; return returnType; }	java	@Override public O withParameters(Configuration parameters) { this.parameters = parameters; @SuppressWarnings("unchecked") O returnType = (O) this; return returnType; }	[ "@", "Override", "public", "O", "withParameters", "(", "Configuration", "parameters", ")", "{", "this", ".", "parameters", "=", "parameters", ";", "@", "SuppressWarnings", "(", "\"unchecked\"", ")", "O", "returnType", "=", "(", "O", ")", "this", ";", "return", "returnType", ";", "}" ]	--------------------------------------------------------------------------------------------	[ "--------------------------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/TwoInputUdfOperator.java#L87-L94	train	Sets the parameters for the exception.	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apache/flink	flink-connectors/flink-hcatalog/src/main/java/org/apache/flink/hcatalog/HCatInputFormatBase.java	HCatInputFormatBase.writeObject	private void writeObject(ObjectOutputStream out) throws IOException { out.writeInt(this.fieldNames.length); for (String fieldName : this.fieldNames) { out.writeUTF(fieldName); } this.configuration.write(out); }	java	private void writeObject(ObjectOutputStream out) throws IOException { out.writeInt(this.fieldNames.length); for (String fieldName : this.fieldNames) { out.writeUTF(fieldName); } this.configuration.write(out); }	[ "private", "void", "writeObject", "(", "ObjectOutputStream", "out", ")", "throws", "IOException", "{", "out", ".", "writeInt", "(", "this", ".", "fieldNames", ".", "length", ")", ";", "for", "(", "String", "fieldName", ":", "this", ".", "fieldNames", ")", "{", "out", ".", "writeUTF", "(", "fieldName", ")", ";", "}", "this", ".", "configuration", ".", "write", "(", "out", ")", ";", "}" ]	--------------------------------------------------------------------------------------------	[ "--------------------------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-hcatalog/src/main/java/org/apache/flink/hcatalog/HCatInputFormatBase.java#L368-L374	train	Writes the object to the stream.	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netty/netty	codec-http/src/main/java/io/netty/handler/codec/spdy/SpdyCodecUtil.java	SpdyCodecUtil.validateHeaderName	static void validateHeaderName(CharSequence name) { if (name == null) { throw new NullPointerException("name"); } if (name.length() == 0) { throw new IllegalArgumentException( "name cannot be length zero"); } // Since name may only contain ascii characters, for valid names // name.length() returns the number of bytes when UTF-8 encoded. if (name.length() > SPDY_MAX_NV_LENGTH) { throw new IllegalArgumentException( "name exceeds allowable length: " + name); } for (int i = 0; i < name.length(); i ++) { char c = name.charAt(i); if (c == 0) { throw new IllegalArgumentException( "name contains null character: " + name); } if (c >= 'A' && c <= 'Z') { throw new IllegalArgumentException("name must be all lower case."); } if (c > 127) { throw new IllegalArgumentException( "name contains non-ascii character: " + name); } } }	java	static void validateHeaderName(CharSequence name) { if (name == null) { throw new NullPointerException("name"); } if (name.length() == 0) { throw new IllegalArgumentException( "name cannot be length zero"); } // Since name may only contain ascii characters, for valid names // name.length() returns the number of bytes when UTF-8 encoded. if (name.length() > SPDY_MAX_NV_LENGTH) { throw new IllegalArgumentException( "name exceeds allowable length: " + name); } for (int i = 0; i < name.length(); i ++) { char c = name.charAt(i); if (c == 0) { throw new IllegalArgumentException( "name contains null character: " + name); } if (c >= 'A' && c <= 'Z') { throw new IllegalArgumentException("name must be all lower case."); } if (c > 127) { throw new IllegalArgumentException( "name contains non-ascii character: " + name); } } }	[ "static", "void", "validateHeaderName", "(", "CharSequence", "name", ")", "{", "if", "(", "name", "==", "null", ")", "{", "throw", "new", "NullPointerException", "(", "\"name\"", ")", ";", "}", "if", "(", "name", ".", "length", "(", ")", "==", "0", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"name cannot be length zero\"", ")", ";", "}", "// Since name may only contain ascii characters, for valid names", "// name.length() returns the number of bytes when UTF-8 encoded.", "if", "(", "name", ".", "length", "(", ")", ">", "SPDY_MAX_NV_LENGTH", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"name exceeds allowable length: \"", "+", "name", ")", ";", "}", "for", "(", "int", "i", "=", "0", ";", "i", "<", "name", ".", "length", "(", ")", ";", "i", "++", ")", "{", "char", "c", "=", "name", ".", "charAt", "(", "i", ")", ";", "if", "(", "c", "==", "0", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"name contains null character: \"", "+", "name", ")", ";", "}", "if", "(", "c", ">=", "'", "'", "&&", "c", "<=", "'", "'", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"name must be all lower case.\"", ")", ";", "}", "if", "(", "c", ">", "127", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"name contains non-ascii character: \"", "+", "name", ")", ";", "}", "}", "}" ]	Validate a SPDY header name.	[ "Validate", "a", "SPDY", "header", "name", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/spdy/SpdyCodecUtil.java#L288-L316	train	Validate the name of a header.	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netty/netty	buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java	CompositeByteBuf.discardReadComponents	public CompositeByteBuf discardReadComponents() { ensureAccessible(); final int readerIndex = readerIndex(); if (readerIndex == 0) { return this; } // Discard everything if (readerIndex = writerIndex = capacity). int writerIndex = writerIndex(); if (readerIndex == writerIndex && writerIndex == capacity()) { for (int i = 0, size = componentCount; i < size; i++) { components[i].free(); } lastAccessed = null; clearComps(); setIndex(0, 0); adjustMarkers(readerIndex); return this; } // Remove read components. int firstComponentId = 0; Component c = null; for (int size = componentCount; firstComponentId < size; firstComponentId++) { c = components[firstComponentId]; if (c.endOffset > readerIndex) { break; } c.free(); } if (firstComponentId == 0) { return this; // Nothing to discard } Component la = lastAccessed; if (la != null && la.endOffset <= readerIndex) { lastAccessed = null; } removeCompRange(0, firstComponentId); // Update indexes and markers. int offset = c.offset; updateComponentOffsets(0); setIndex(readerIndex - offset, writerIndex - offset); adjustMarkers(offset); return this; }	java	public CompositeByteBuf discardReadComponents() { ensureAccessible(); final int readerIndex = readerIndex(); if (readerIndex == 0) { return this; } // Discard everything if (readerIndex = writerIndex = capacity). int writerIndex = writerIndex(); if (readerIndex == writerIndex && writerIndex == capacity()) { for (int i = 0, size = componentCount; i < size; i++) { components[i].free(); } lastAccessed = null; clearComps(); setIndex(0, 0); adjustMarkers(readerIndex); return this; } // Remove read components. int firstComponentId = 0; Component c = null; for (int size = componentCount; firstComponentId < size; firstComponentId++) { c = components[firstComponentId]; if (c.endOffset > readerIndex) { break; } c.free(); } if (firstComponentId == 0) { return this; // Nothing to discard } Component la = lastAccessed; if (la != null && la.endOffset <= readerIndex) { lastAccessed = null; } removeCompRange(0, firstComponentId); // Update indexes and markers. int offset = c.offset; updateComponentOffsets(0); setIndex(readerIndex - offset, writerIndex - offset); adjustMarkers(offset); return this; }	[ "public", "CompositeByteBuf", "discardReadComponents", "(", ")", "{", "ensureAccessible", "(", ")", ";", "final", "int", "readerIndex", "=", "readerIndex", "(", ")", ";", "if", "(", "readerIndex", "==", "0", ")", "{", "return", "this", ";", "}", "// Discard everything if (readerIndex = writerIndex = capacity).", "int", "writerIndex", "=", "writerIndex", "(", ")", ";", "if", "(", "readerIndex", "==", "writerIndex", "&&", "writerIndex", "==", "capacity", "(", ")", ")", "{", "for", "(", "int", "i", "=", "0", ",", "size", "=", "componentCount", ";", "i", "<", "size", ";", "i", "++", ")", "{", "components", "[", "i", "]", ".", "free", "(", ")", ";", "}", "lastAccessed", "=", "null", ";", "clearComps", "(", ")", ";", "setIndex", "(", "0", ",", "0", ")", ";", "adjustMarkers", "(", "readerIndex", ")", ";", "return", "this", ";", "}", "// Remove read components.", "int", "firstComponentId", "=", "0", ";", "Component", "c", "=", "null", ";", "for", "(", "int", "size", "=", "componentCount", ";", "firstComponentId", "<", "size", ";", "firstComponentId", "++", ")", "{", "c", "=", "components", "[", "firstComponentId", "]", ";", "if", "(", "c", ".", "endOffset", ">", "readerIndex", ")", "{", "break", ";", "}", "c", ".", "free", "(", ")", ";", "}", "if", "(", "firstComponentId", "==", "0", ")", "{", "return", "this", ";", "// Nothing to discard", "}", "Component", "la", "=", "lastAccessed", ";", "if", "(", "la", "!=", "null", "&&", "la", ".", "endOffset", "<=", "readerIndex", ")", "{", "lastAccessed", "=", "null", ";", "}", "removeCompRange", "(", "0", ",", "firstComponentId", ")", ";", "// Update indexes and markers.", "int", "offset", "=", "c", ".", "offset", ";", "updateComponentOffsets", "(", "0", ")", ";", "setIndex", "(", "readerIndex", "-", "offset", ",", "writerIndex", "-", "offset", ")", ";", "adjustMarkers", "(", "offset", ")", ";", "return", "this", ";", "}" ]	Discard all {@link ByteBuf}s which are read.	[ "Discard", "all", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java#L1733-L1778	train	Discards all read components from this CompositeByteBuf.	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looly/hutool	hutool-json/src/main/java/cn/hutool/json/JSONArray.java	JSONArray.join	public String join(String separator) throws JSONException { int len = this.rawList.size(); StringBuilder sb = new StringBuilder(); for (int i = 0; i < len; i += 1) { if (i > 0) { sb.append(separator); } sb.append(InternalJSONUtil.valueToString(this.rawList.get(i))); } return sb.toString(); }	java	public String join(String separator) throws JSONException { int len = this.rawList.size(); StringBuilder sb = new StringBuilder(); for (int i = 0; i < len; i += 1) { if (i > 0) { sb.append(separator); } sb.append(InternalJSONUtil.valueToString(this.rawList.get(i))); } return sb.toString(); }	[ "public", "String", "join", "(", "String", "separator", ")", "throws", "JSONException", "{", "int", "len", "=", "this", ".", "rawList", ".", "size", "(", ")", ";", "StringBuilder", "sb", "=", "new", "StringBuilder", "(", ")", ";", "for", "(", "int", "i", "=", "0", ";", "i", "<", "len", ";", "i", "+=", "1", ")", "{", "if", "(", "i", ">", "0", ")", "{", "sb", ".", "append", "(", "separator", ")", ";", "}", "sb", ".", "append", "(", "InternalJSONUtil", ".", "valueToString", "(", "this", ".", "rawList", ".", "get", "(", "i", ")", ")", ")", ";", "}", "return", "sb", ".", "toString", "(", ")", ";", "}" ]	JSONArray转为以<code>separator</code>为分界符的字符串 @param separator 分界符 @return a string. @throws JSONException If the array contains an invalid number.	[ "JSONArray转为以<code", ">", "separator<", "/", "code", ">", "为分界符的字符串" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONArray.java#L178-L189	train	Returns a string containing the contents of this list joined with the given separator.	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apache/flink	flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/state/serialization/KvStateSerializer.java	KvStateSerializer.deserializeKeyAndNamespace	public static <K, N> Tuple2<K, N> deserializeKeyAndNamespace( byte[] serializedKeyAndNamespace, TypeSerializer<K> keySerializer, TypeSerializer<N> namespaceSerializer) throws IOException { DataInputDeserializer dis = new DataInputDeserializer( serializedKeyAndNamespace, 0, serializedKeyAndNamespace.length); try { K key = keySerializer.deserialize(dis); byte magicNumber = dis.readByte(); if (magicNumber != MAGIC_NUMBER) { throw new IOException("Unexpected magic number " + magicNumber + "."); } N namespace = namespaceSerializer.deserialize(dis); if (dis.available() > 0) { throw new IOException("Unconsumed bytes in the serialized key and namespace."); } return new Tuple2<>(key, namespace); } catch (IOException e) { throw new IOException("Unable to deserialize key " + "and namespace. This indicates a mismatch in the key/namespace " + "serializers used by the KvState instance and this access.", e); } }	java	public static <K, N> Tuple2<K, N> deserializeKeyAndNamespace( byte[] serializedKeyAndNamespace, TypeSerializer<K> keySerializer, TypeSerializer<N> namespaceSerializer) throws IOException { DataInputDeserializer dis = new DataInputDeserializer( serializedKeyAndNamespace, 0, serializedKeyAndNamespace.length); try { K key = keySerializer.deserialize(dis); byte magicNumber = dis.readByte(); if (magicNumber != MAGIC_NUMBER) { throw new IOException("Unexpected magic number " + magicNumber + "."); } N namespace = namespaceSerializer.deserialize(dis); if (dis.available() > 0) { throw new IOException("Unconsumed bytes in the serialized key and namespace."); } return new Tuple2<>(key, namespace); } catch (IOException e) { throw new IOException("Unable to deserialize key " + "and namespace. 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looly/hutool	hutool-bloomFilter/src/main/java/cn/hutool/bloomfilter/BitMapBloomFilter.java	BitMapBloomFilter.add	@Override public boolean add(String str) { boolean flag = true; for (BloomFilter filter : filters) { flag \|= filter.add(str); } return flag; }	java	@Override public boolean add(String str) { boolean flag = true; for (BloomFilter filter : filters) { flag \|= filter.add(str); } return flag; }	[ "@", "Override", "public", "boolean", "add", "(", "String", "str", ")", "{", "boolean", "flag", "=", "true", ";", "for", "(", "BloomFilter", "filter", ":", "filters", ")", "{", "flag", "\|=", "filter", ".", "add", "(", "str", ")", ";", "}", "return", "flag", ";", "}" ]	增加字符串到Filter映射中 @param str 字符串	[ "增加字符串到Filter映射中" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-bloomFilter/src/main/java/cn/hutool/bloomfilter/BitMapBloomFilter.java#L54-L61	train	Add a string to the list of filters.	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apache/flink	flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/FromElementsFunction.java	FromElementsFunction.snapshotState	@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); this.checkpointedState.clear(); this.checkpointedState.add(this.numElementsEmitted); }	java	@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); this.checkpointedState.clear(); this.checkpointedState.add(this.numElementsEmitted); }	[ "@", "Override", "public", "void", "snapshotState", "(", "FunctionSnapshotContext", "context", ")", "throws", "Exception", "{", "Preconditions", ".", "checkState", "(", "this", ".", "checkpointedState", "!=", "null", ",", "\"The \"", "+", "getClass", "(", ")", ".", "getSimpleName", "(", ")", "+", "\" has not been properly initialized.\"", ")", ";", "this", ".", "checkpointedState", ".", "clear", "(", ")", ";", "this", ".", "checkpointedState", ".", "add", "(", "this", ".", "numElementsEmitted", ")", ";", "}" ]	------------------------------------------------------------------------	[ "------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/FromElementsFunction.java#L198-L205	train	This method is called to snapshot the state of the sequence.	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looly/hutool	hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java	SecureUtil.createMessageDigest	public static MessageDigest createMessageDigest(String algorithm) { final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider(); MessageDigest messageDigest; try { messageDigest = (null == provider) ? MessageDigest.getInstance(algorithm) : MessageDigest.getInstance(algorithm, provider); } catch (NoSuchAlgorithmException e) { throw new CryptoException(e); } return messageDigest; }	java	public static MessageDigest createMessageDigest(String algorithm) { final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider(); MessageDigest messageDigest; try { messageDigest = (null == provider) ? MessageDigest.getInstance(algorithm) : MessageDigest.getInstance(algorithm, provider); } catch (NoSuchAlgorithmException e) { throw new CryptoException(e); } return messageDigest; }	[ "public", "static", "MessageDigest", "createMessageDigest", "(", "String", "algorithm", ")", "{", "final", "Provider", "provider", "=", "GlobalBouncyCastleProvider", ".", "INSTANCE", ".", "getProvider", "(", ")", ";", "MessageDigest", "messageDigest", ";", "try", "{", "messageDigest", "=", "(", "null", "==", "provider", ")", "?", "MessageDigest", ".", "getInstance", "(", "algorithm", ")", ":", "MessageDigest", ".", "getInstance", "(", "algorithm", ",", "provider", ")", ";", "}", "catch", "(", "NoSuchAlgorithmException", "e", ")", "{", "throw", "new", "CryptoException", "(", "e", ")", ";", "}", "return", "messageDigest", ";", "}" ]	创建{@link MessageDigest} @param algorithm 算法 @since 4.5.2	[ "创建", "{", "@link", "MessageDigest", "}" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L995-L1006	train	Creates a MessageDigest object based on the algorithm name.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java	FileUtil.readUtf8Lines	public static <T extends Collection<String>> T readUtf8Lines(String path, T collection) throws IORuntimeException { return readLines(path, CharsetUtil.CHARSET_UTF_8, collection); }	java	public static <T extends Collection<String>> T readUtf8Lines(String path, T collection) throws IORuntimeException { return readLines(path, CharsetUtil.CHARSET_UTF_8, collection); }	[ "public", "static", "<", "T", "extends", "Collection", "<", "String", ">", ">", "T", "readUtf8Lines", "(", "String", "path", ",", "T", "collection", ")", "throws", "IORuntimeException", "{", "return", "readLines", "(", "path", ",", "CharsetUtil", ".", "CHARSET_UTF_8", ",", "collection", ")", ";", "}" ]	从文件中读取每一行的UTF-8编码数据 @param <T> 集合类型 @param path 文件路径 @param collection 集合 @return 文件中的每行内容的集合 @throws IORuntimeException IO异常 @since 3.1.1	[ "从文件中读取每一行的UTF", "-", "8编码数据" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L2164-L2166	train	Reads a collection of UTF - 8 lines from a file.	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looly/hutool	hutool-json/src/main/java/cn/hutool/json/JSONTokener.java	JSONTokener.next	public String next(int n) throws JSONException { if (n == 0) { return ""; } char[] chars = new char[n]; int pos = 0; while (pos < n) { chars[pos] = this.next(); if (this.end()) { throw this.syntaxError("Substring bounds error"); } pos += 1; } return new String(chars); }	java	public String next(int n) throws JSONException { if (n == 0) { return ""; } char[] chars = new char[n]; int pos = 0; while (pos < n) { chars[pos] = this.next(); if (this.end()) { throw this.syntaxError("Substring bounds error"); } pos += 1; } return new String(chars); }	[ "public", "String", "next", "(", "int", "n", ")", "throws", "JSONException", "{", "if", "(", "n", "==", "0", ")", "{", "return", "\"\"", ";", "}", "char", "[", "]", "chars", "=", "new", "char", "[", "n", "]", ";", "int", "pos", "=", "0", ";", "while", "(", "pos", "<", "n", ")", "{", "chars", "[", "pos", "]", "=", "this", ".", "next", "(", ")", ";", "if", "(", "this", ".", "end", "(", ")", ")", "{", "throw", "this", ".", "syntaxError", "(", "\"Substring bounds error\"", ")", ";", "}", "pos", "+=", "1", ";", "}", "return", "new", "String", "(", "chars", ")", ";", "}" ]	获得接下来的n个字符 @param n 字符数 @return 获得的n个字符组成的字符串 @throws JSONException 如果源中余下的字符数不足以提供所需的字符数，抛出此异常	[ "获得接下来的n个字符" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONTokener.java#L159-L174	train	Returns the next n characters.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/MutableHashTable.java	MutableHashTable.buildInitialTable	protected void buildInitialTable(final MutableObjectIterator<BT> input) throws IOException { // create the partitions final int partitionFanOut = getPartitioningFanOutNoEstimates(this.availableMemory.size()); if (partitionFanOut > MAX_NUM_PARTITIONS) { throw new RuntimeException("Hash join partitions estimate exeeds maximum number of partitions."); } createPartitions(partitionFanOut, 0); // set up the table structure. the write behind buffers are taken away, as are one buffer per partition final int numBuckets = getInitialTableSize(this.availableMemory.size(), this.segmentSize, partitionFanOut, this.avgRecordLen); initTable(numBuckets, (byte) partitionFanOut); final TypeComparator<BT> buildTypeComparator = this.buildSideComparator; BT record = this.buildSideSerializer.createInstance(); // go over the complete input and insert every element into the hash table while (this.running && ((record = input.next(record)) != null)) { final int hashCode = hash(buildTypeComparator.hash(record), 0); insertIntoTable(record, hashCode); } if (!this.running) { return; } // finalize the partitions for (int i = 0; i < this.partitionsBeingBuilt.size(); i++) { HashPartition<BT, PT> p = this.partitionsBeingBuilt.get(i); p.finalizeBuildPhase(this.ioManager, this.currentEnumerator, this.writeBehindBuffers); } }	java	protected void buildInitialTable(final MutableObjectIterator<BT> input) throws IOException { // create the partitions final int partitionFanOut = getPartitioningFanOutNoEstimates(this.availableMemory.size()); if (partitionFanOut > MAX_NUM_PARTITIONS) { throw new RuntimeException("Hash join partitions estimate exeeds maximum number of partitions."); } createPartitions(partitionFanOut, 0); // set up the table structure. the write behind buffers are taken away, as are one buffer per partition final int numBuckets = getInitialTableSize(this.availableMemory.size(), this.segmentSize, partitionFanOut, this.avgRecordLen); initTable(numBuckets, (byte) partitionFanOut); final TypeComparator<BT> buildTypeComparator = this.buildSideComparator; BT record = this.buildSideSerializer.createInstance(); // go over the complete input and insert every element into the hash table while (this.running && ((record = input.next(record)) != null)) { final int hashCode = hash(buildTypeComparator.hash(record), 0); insertIntoTable(record, hashCode); } if (!this.running) { return; } // finalize the partitions for (int i = 0; i < this.partitionsBeingBuilt.size(); i++) { HashPartition<BT, PT> p = this.partitionsBeingBuilt.get(i); p.finalizeBuildPhase(this.ioManager, this.currentEnumerator, this.writeBehindBuffers); } }	[ "protected", "void", "buildInitialTable", "(", "final", "MutableObjectIterator", "<", "BT", ">", "input", ")", "throws", "IOException", "{", "// create the partitions", "final", "int", "partitionFanOut", "=", "getPartitioningFanOutNoEstimates", "(", "this", ".", "availableMemory", ".", "size", "(", ")", ")", ";", "if", "(", "partitionFanOut", ">", "MAX_NUM_PARTITIONS", ")", "{", "throw", "new", "RuntimeException", "(", "\"Hash join partitions estimate exeeds maximum number of partitions.\"", ")", ";", "}", "createPartitions", "(", "partitionFanOut", ",", "0", ")", ";", "// set up the table structure. the write behind buffers are taken away, as are one buffer per partition", "final", "int", "numBuckets", "=", "getInitialTableSize", "(", "this", ".", "availableMemory", ".", "size", "(", ")", ",", "this", ".", "segmentSize", ",", "partitionFanOut", ",", "this", ".", "avgRecordLen", ")", ";", "initTable", "(", "numBuckets", ",", "(", "byte", ")", "partitionFanOut", ")", ";", "final", "TypeComparator", "<", "BT", ">", "buildTypeComparator", "=", "this", ".", "buildSideComparator", ";", "BT", "record", "=", "this", ".", "buildSideSerializer", ".", "createInstance", "(", ")", ";", "// go over the complete input and insert every element into the hash table", "while", "(", "this", ".", "running", "&&", "(", "(", "record", "=", "input", ".", "next", "(", "record", ")", ")", "!=", "null", ")", ")", "{", "final", "int", "hashCode", "=", "hash", "(", "buildTypeComparator", ".", "hash", "(", "record", ")", ",", "0", ")", ";", "insertIntoTable", "(", "record", ",", "hashCode", ")", ";", "}", "if", "(", "!", "this", ".", "running", ")", "{", "return", ";", "}", "// finalize the partitions", "for", "(", "int", "i", "=", "0", ";", "i", "<", "this", ".", "partitionsBeingBuilt", ".", "size", "(", ")", ";", "i", "++", ")", "{", "HashPartition", "<", "BT", ",", "PT", ">", "p", "=", "this", ".", "partitionsBeingBuilt", ".", "get", "(", "i", ")", ";", "p", ".", "finalizeBuildPhase", "(", "this", ".", "ioManager", ",", "this", ".", "currentEnumerator", ",", "this", ".", "writeBehindBuffers", ")", ";", "}", "}" ]	Creates the initial hash table. This method sets up partitions, hash index, and inserts the data from the given iterator. @param input The iterator with the build side data. @throws IOException Thrown, if an element could not be fetched and deserialized from the iterator, or if serialization fails.	[ "Creates", "the", "initial", "hash", "table", ".", "This", "method", "sets", "up", "partitions", "hash", "index", "and", "inserts", "the", "data", "from", "the", "given", "iterator", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/MutableHashTable.java#L785-L816	train	Build the initial table.	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netty/netty	buffer/src/main/java/io/netty/buffer/ByteBufUtil.java	ByteBufUtil.writeMediumBE	@SuppressWarnings("deprecation") public static ByteBuf writeMediumBE(ByteBuf buf, int mediumValue) { return buf.order() == ByteOrder.BIG_ENDIAN? buf.writeMedium(mediumValue) : buf.writeMediumLE(mediumValue); }	java	@SuppressWarnings("deprecation") public static ByteBuf writeMediumBE(ByteBuf buf, int mediumValue) { return buf.order() == ByteOrder.BIG_ENDIAN? buf.writeMedium(mediumValue) : buf.writeMediumLE(mediumValue); }	[ "@", "SuppressWarnings", "(", "\"deprecation\"", ")", "public", "static", "ByteBuf", "writeMediumBE", "(", "ByteBuf", "buf", ",", "int", "mediumValue", ")", "{", "return", "buf", ".", "order", "(", ")", "==", "ByteOrder", ".", "BIG_ENDIAN", "?", "buf", ".", "writeMedium", "(", "mediumValue", ")", ":", "buf", ".", "writeMediumLE", "(", "mediumValue", ")", ";", "}" ]	Writes a big-endian 24-bit medium integer to the buffer.	[ "Writes", "a", "big", "-", "endian", "24", "-", "bit", "medium", "integer", "to", "the", "buffer", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/ByteBufUtil.java#L434-L437	train	Write medium value to buffer in big - endian order.	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apache/flink	flink-connectors/flink-connector-kafka/src/main/java/org/apache/flink/streaming/connectors/kafka/internal/KafkaConsumerThread.java	KafkaConsumerThread.run	@Override public void run() { // early exit check if (!running) { return; } // this is the means to talk to FlinkKafkaConsumer's main thread final Handover handover = this.handover; // This method initializes the KafkaConsumer and guarantees it is torn down properly. // This is important, because the consumer has multi-threading issues, // including concurrent 'close()' calls. try { this.consumer = getConsumer(kafkaProperties); } catch (Throwable t) { handover.reportError(t); return; } // from here on, the consumer is guaranteed to be closed properly try { // register Kafka's very own metrics in Flink's metric reporters if (useMetrics) { // register Kafka metrics to Flink Map<MetricName, ? extends Metric> metrics = consumer.metrics(); if (metrics == null) { // MapR's Kafka implementation returns null here. log.info("Consumer implementation does not support metrics"); } else { // we have Kafka metrics, register them for (Map.Entry<MetricName, ? extends Metric> metric: metrics.entrySet()) { consumerMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); // TODO this metric is kept for compatibility purposes; should remove in the future subtaskMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); } } } // early exit check if (!running) { return; } // the latest bulk of records. May carry across the loop if the thread is woken up // from blocking on the handover ConsumerRecords<byte[], byte[]> records = null; // reused variable to hold found unassigned new partitions. // found partitions are not carried across loops using this variable; // they are carried across via re-adding them to the unassigned partitions queue List<KafkaTopicPartitionState<TopicPartition>> newPartitions; // main fetch loop while (running) { // check if there is something to commit if (!commitInProgress) { // get and reset the work-to-be committed, so we don't repeatedly commit the same final Tuple2<Map<TopicPartition, OffsetAndMetadata>, KafkaCommitCallback> commitOffsetsAndCallback = nextOffsetsToCommit.getAndSet(null); if (commitOffsetsAndCallback != null) { log.debug("Sending async offset commit request to Kafka broker"); // also record that a commit is already in progress // the order here matters! first set the flag, then send the commit command. commitInProgress = true; consumer.commitAsync(commitOffsetsAndCallback.f0, new CommitCallback(commitOffsetsAndCallback.f1)); } } try { if (hasAssignedPartitions) { newPartitions = unassignedPartitionsQueue.pollBatch(); } else { // if no assigned partitions block until we get at least one // instead of hot spinning this loop. We rely on a fact that // unassignedPartitionsQueue will be closed on a shutdown, so // we don't block indefinitely newPartitions = unassignedPartitionsQueue.getBatchBlocking(); } if (newPartitions != null) { reassignPartitions(newPartitions); } } catch (AbortedReassignmentException e) { continue; } if (!hasAssignedPartitions) { // Without assigned partitions KafkaConsumer.poll will throw an exception continue; } // get the next batch of records, unless we did not manage to hand the old batch over if (records == null) { try { records = consumer.poll(pollTimeout); } catch (WakeupException we) { continue; } } try { handover.produce(records); records = null; } catch (Handover.WakeupException e) { // fall through the loop } } // end main fetch loop } catch (Throwable t) { // let the main thread know and exit // it may be that this exception comes because the main thread closed the handover, in // which case the below reporting is irrelevant, but does not hurt either handover.reportError(t); } finally { // make sure the handover is closed if it is not already closed or has an error handover.close(); // make sure the KafkaConsumer is closed try { consumer.close(); } catch (Throwable t) { log.warn("Error while closing Kafka consumer", t); } } }	java	@Override public void run() { // early exit check if (!running) { return; } // this is the means to talk to FlinkKafkaConsumer's main thread final Handover handover = this.handover; // This method initializes the KafkaConsumer and guarantees it is torn down properly. // This is important, because the consumer has multi-threading issues, // including concurrent 'close()' calls. try { this.consumer = getConsumer(kafkaProperties); } catch (Throwable t) { handover.reportError(t); return; } // from here on, the consumer is guaranteed to be closed properly try { // register Kafka's very own metrics in Flink's metric reporters if (useMetrics) { // register Kafka metrics to Flink Map<MetricName, ? extends Metric> metrics = consumer.metrics(); if (metrics == null) { // MapR's Kafka implementation returns null here. log.info("Consumer implementation does not support metrics"); } else { // we have Kafka metrics, register them for (Map.Entry<MetricName, ? extends Metric> metric: metrics.entrySet()) { consumerMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); // TODO this metric is kept for compatibility purposes; should remove in the future subtaskMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); } } } // early exit check if (!running) { return; } // the latest bulk of records. May carry across the loop if the thread is woken up // from blocking on the handover ConsumerRecords<byte[], byte[]> records = null; // reused variable to hold found unassigned new partitions. // found partitions are not carried across loops using this variable; // they are carried across via re-adding them to the unassigned partitions queue List<KafkaTopicPartitionState<TopicPartition>> newPartitions; // main fetch loop while (running) { // check if there is something to commit if (!commitInProgress) { // get and reset the work-to-be committed, so we don't repeatedly commit the same final Tuple2<Map<TopicPartition, OffsetAndMetadata>, KafkaCommitCallback> commitOffsetsAndCallback = nextOffsetsToCommit.getAndSet(null); if (commitOffsetsAndCallback != null) { log.debug("Sending async offset commit request to Kafka broker"); // also record that a commit is already in progress // the order here matters! first set the flag, then send the commit command. commitInProgress = true; consumer.commitAsync(commitOffsetsAndCallback.f0, new CommitCallback(commitOffsetsAndCallback.f1)); } } try { if (hasAssignedPartitions) { newPartitions = unassignedPartitionsQueue.pollBatch(); } else { // if no assigned partitions block until we get at least one // instead of hot spinning this loop. We rely on a fact that // unassignedPartitionsQueue will be closed on a shutdown, so // we don't block indefinitely newPartitions = unassignedPartitionsQueue.getBatchBlocking(); } if (newPartitions != null) { reassignPartitions(newPartitions); } } catch (AbortedReassignmentException e) { continue; } if (!hasAssignedPartitions) { // Without assigned partitions KafkaConsumer.poll will throw an exception continue; } // get the next batch of records, unless we did not manage to hand the old batch over if (records == null) { try { records = consumer.poll(pollTimeout); } catch (WakeupException we) { continue; } } try { handover.produce(records); records = null; } catch (Handover.WakeupException e) { // fall through the loop } } // end main fetch loop } catch (Throwable t) { // let the main thread know and exit // it may be that this exception comes because the main thread closed the handover, in // which case the below reporting is irrelevant, but does not hurt either handover.reportError(t); } finally { // make sure the handover is closed if it is not already closed or has an error handover.close(); // make sure the KafkaConsumer is closed try { consumer.close(); } catch (Throwable t) { log.warn("Error while closing Kafka consumer", t); } } }	[ "@", "Override", "public", "void", "run", "(", ")", "{", "// early exit check", "if", "(", "!", "running", ")", "{", "return", ";", "}", "// this is the means to talk to FlinkKafkaConsumer's main thread", "final", "Handover", "handover", "=", "this", ".", "handover", ";", "// This method initializes the KafkaConsumer and guarantees it is torn down properly.", "// This is important, because the consumer has multi-threading issues,", "// including concurrent 'close()' calls.", "try", "{", "this", ".", "consumer", "=", "getConsumer", "(", "kafkaProperties", ")", ";", "}", "catch", "(", "Throwable", "t", ")", "{", "handover", ".", "reportError", "(", "t", ")", ";", "return", ";", "}", "// from here on, the consumer is guaranteed to be closed properly", "try", "{", "// register Kafka's very own metrics in Flink's metric reporters", "if", "(", "useMetrics", ")", "{", "// register Kafka metrics to Flink", "Map", "<", "MetricName", ",", "?", "extends", "Metric", ">", "metrics", "=", "consumer", ".", "metrics", "(", ")", ";", "if", "(", "metrics", "==", "null", ")", "{", "// MapR's Kafka implementation returns null here.", "log", ".", "info", "(", "\"Consumer implementation does not support metrics\"", ")", ";", "}", "else", "{", "// we have Kafka metrics, register them", "for", "(", "Map", ".", "Entry", "<", "MetricName", ",", "?", "extends", "Metric", ">", "metric", ":", "metrics", ".", "entrySet", "(", ")", ")", "{", "consumerMetricGroup", ".", "gauge", "(", "metric", ".", "getKey", "(", ")", ".", "name", "(", ")", ",", "new", "KafkaMetricWrapper", "(", "metric", ".", "getValue", "(", ")", ")", ")", ";", "// TODO this metric is kept for compatibility purposes; should remove in the future", "subtaskMetricGroup", ".", "gauge", "(", "metric", ".", "getKey", "(", ")", ".", "name", "(", ")", ",", "new", "KafkaMetricWrapper", "(", "metric", ".", "getValue", "(", ")", ")", ")", ";", "}", "}", "}", "// early exit check", "if", "(", "!", "running", ")", "{", "return", ";", "}", "// the latest bulk of records. 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It is called by the FlinkKafkaConsumer s main thread to run the FlinkConsumer s main thread.	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apache/flink	flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MessageAcknowledgingSourceBase.java	MessageAcknowledgingSourceBase.snapshotState	@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); if (LOG.isDebugEnabled()) { LOG.debug("{} checkpointing: Messages: {}, checkpoint id: {}, timestamp: {}", idsForCurrentCheckpoint, context.getCheckpointId(), context.getCheckpointTimestamp()); } pendingCheckpoints.addLast(new Tuple2<>(context.getCheckpointId(), idsForCurrentCheckpoint)); idsForCurrentCheckpoint = new HashSet<>(64); this.checkpointedState.clear(); this.checkpointedState.add(SerializedCheckpointData.fromDeque(pendingCheckpoints, idSerializer)); }	java	@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); if (LOG.isDebugEnabled()) { LOG.debug("{} checkpointing: Messages: {}, checkpoint id: {}, timestamp: {}", idsForCurrentCheckpoint, context.getCheckpointId(), context.getCheckpointTimestamp()); } pendingCheckpoints.addLast(new Tuple2<>(context.getCheckpointId(), idsForCurrentCheckpoint)); idsForCurrentCheckpoint = new HashSet<>(64); this.checkpointedState.clear(); this.checkpointedState.add(SerializedCheckpointData.fromDeque(pendingCheckpoints, idSerializer)); }	[ "@", "Override", "public", "void", "snapshotState", "(", "FunctionSnapshotContext", "context", ")", "throws", "Exception", "{", "Preconditions", ".", "checkState", "(", "this", ".", "checkpointedState", "!=", "null", ",", "\"The \"", "+", "getClass", "(", ")", ".", "getSimpleName", "(", ")", "+", "\" has not been properly initialized.\"", ")", ";", "if", "(", "LOG", ".", "isDebugEnabled", "(", ")", ")", "{", "LOG", ".", "debug", "(", "\"{} checkpointing: Messages: {}, checkpoint id: {}, timestamp: {}\"", ",", "idsForCurrentCheckpoint", ",", "context", ".", "getCheckpointId", "(", ")", ",", "context", ".", "getCheckpointTimestamp", "(", ")", ")", ";", "}", "pendingCheckpoints", ".", "addLast", "(", "new", "Tuple2", "<>", "(", "context", ".", "getCheckpointId", "(", ")", ",", "idsForCurrentCheckpoint", ")", ")", ";", "idsForCurrentCheckpoint", "=", "new", "HashSet", "<>", "(", "64", ")", ";", "this", ".", "checkpointedState", ".", "clear", "(", ")", ";", "this", ".", "checkpointedState", ".", "add", "(", "SerializedCheckpointData", ".", "fromDeque", "(", "pendingCheckpoints", ",", "idSerializer", ")", ")", ";", "}" ]	------------------------------------------------------------------------	[ "------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MessageAcknowledgingSourceBase.java#L206-L221	train	This method is called by the snapshot manager to snapshot the state of the checkpoint.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/io/watch/WatchUtil.java	WatchUtil.createModify	public static WatchMonitor createModify(URL url, int maxDepth, Watcher watcher) { return createModify(URLUtil.toURI(url), maxDepth, watcher); }	java	public static WatchMonitor createModify(URL url, int maxDepth, Watcher watcher) { return createModify(URLUtil.toURI(url), maxDepth, watcher); }	[ "public", "static", "WatchMonitor", "createModify", "(", "URL", "url", ",", "int", "maxDepth", ",", "Watcher", "watcher", ")", "{", "return", "createModify", "(", "URLUtil", ".", "toURI", "(", "url", ")", ",", "maxDepth", ",", "watcher", ")", ";", "}" ]	创建并初始化监听，监听修改事件 @param url URL @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 @param watcher {@link Watcher} @return {@link WatchMonitor} @since 4.5.2	[ "创建并初始化监听，监听修改事件" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/watch/WatchUtil.java#L275-L277	train	Creates a watch monitor that will modify the given URL.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/map/MapBuilder.java	MapBuilder.putAll	public MapBuilder<K, V> putAll(Map<K, V> map) { this.map.putAll(map); return this; }	java	public MapBuilder<K, V> putAll(Map<K, V> map) { this.map.putAll(map); return this; }	[ "public", "MapBuilder", "<", "K", ",", "V", ">", "putAll", "(", "Map", "<", "K", ",", "V", ">", "map", ")", "{", "this", ".", "map", ".", "putAll", "(", "map", ")", ";", "return", "this", ";", "}" ]	链式Map创建 @param map 合并map @return 当前类	[ "链式Map创建" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapBuilder.java#L55-L58	train	Adds all entries from the given map to the map.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java	ReUtil.findAllGroup0	public static List<String> findAllGroup0(Pattern pattern, CharSequence content) { return findAll(pattern, content, 0); }	java	public static List<String> findAllGroup0(Pattern pattern, CharSequence content) { return findAll(pattern, content, 0); }	[ "public", "static", "List", "<", "String", ">", "findAllGroup0", "(", "Pattern", "pattern", ",", "CharSequence", "content", ")", "{", "return", "findAll", "(", "pattern", ",", "content", ",", "0", ")", ";", "}" ]	取得内容中匹配的所有结果，获得匹配的所有结果中正则对应分组0的内容 @param pattern 编译后的正则模式 @param content 被查找的内容 @return 结果列表 @since 3.1.2	[ "取得内容中匹配的所有结果，获得匹配的所有结果中正则对应分组0的内容" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java#L418-L420	train	Finds all groups of the given content that match the given pattern.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/zookeeper/ZooKeeperStateHandleStore.java	ZooKeeperStateHandleStore.releaseAndTryRemove	@Nullable public boolean releaseAndTryRemove(String pathInZooKeeper) throws Exception { checkNotNull(pathInZooKeeper, "Path in ZooKeeper"); final String path = normalizePath(pathInZooKeeper); RetrievableStateHandle<T> stateHandle = null; try { stateHandle = get(path, false); } catch (Exception e) { LOG.warn("Could not retrieve the state handle from node {}.", path, e); } release(pathInZooKeeper); try { client.delete().forPath(path); } catch (KeeperException.NotEmptyException ignored) { LOG.debug("Could not delete znode {} because it is still locked.", path); return false; } if (stateHandle != null) { stateHandle.discardState(); } return true; }	java	@Nullable public boolean releaseAndTryRemove(String pathInZooKeeper) throws Exception { checkNotNull(pathInZooKeeper, "Path in ZooKeeper"); final String path = normalizePath(pathInZooKeeper); RetrievableStateHandle<T> stateHandle = null; try { stateHandle = get(path, false); } catch (Exception e) { LOG.warn("Could not retrieve the state handle from node {}.", path, e); } release(pathInZooKeeper); try { client.delete().forPath(path); } catch (KeeperException.NotEmptyException ignored) { LOG.debug("Could not delete znode {} because it is still locked.", path); return false; } if (stateHandle != null) { stateHandle.discardState(); } return true; }	[ "@", "Nullable", "public", "boolean", "releaseAndTryRemove", "(", "String", "pathInZooKeeper", ")", "throws", "Exception", "{", "checkNotNull", "(", "pathInZooKeeper", ",", "\"Path in ZooKeeper\"", ")", ";", "final", "String", "path", "=", "normalizePath", "(", "pathInZooKeeper", ")", ";", "RetrievableStateHandle", "<", "T", ">", "stateHandle", "=", "null", ";", "try", "{", "stateHandle", "=", "get", "(", "path", ",", "false", ")", ";", "}", "catch", "(", "Exception", "e", ")", "{", "LOG", ".", "warn", "(", "\"Could not retrieve the state handle from node {}.\"", ",", "path", ",", "e", ")", ";", "}", "release", "(", "pathInZooKeeper", ")", ";", "try", "{", "client", ".", "delete", "(", ")", ".", "forPath", "(", "path", ")", ";", "}", "catch", "(", "KeeperException", ".", "NotEmptyException", "ignored", ")", "{", "LOG", ".", "debug", "(", "\"Could not delete znode {} because it is still locked.\"", ",", "path", ")", ";", "return", "false", ";", "}", "if", "(", "stateHandle", "!=", "null", ")", "{", "stateHandle", ".", "discardState", "(", ")", ";", "}", "return", "true", ";", "}" ]	Releases the lock for the given state node and tries to remove the state node if it is no longer locked. It returns the {@link RetrievableStateHandle} stored under the given state node if any. @param pathInZooKeeper Path of state handle to remove @return True if the state handle could be released @throws Exception If the ZooKeeper operation or discarding the state handle fails	[ "Releases", "the", "lock", "for", "the", "given", "state", "node", "and", "tries", "to", "remove", "the", "state", "node", "if", "it", "is", "no", "longer", "locked", ".", "It", "returns", "the", "{", "@link", "RetrievableStateHandle", "}", "stored", "under", "the", "given", "state", "node", "if", "any", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/zookeeper/ZooKeeperStateHandleStore.java#L331-L359	train	Release and try remove the state handle for the given path.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/classification/utilities/CollectionUtility.java	CollectionUtility.splitMap	public static Map<String, String[]> splitMap(Map<String, String[]> src, double rate) { assert 0 <= rate && rate <= 1; Map<String, String[]> output = new TreeMap<String, String[]>(); for (Map.Entry<String, String[]> entry : src.entrySet()) { String[][] array = spiltArray(entry.getValue(), rate); output.put(entry.getKey(), array[0]); entry.setValue(array[1]); } return output; }	java	public static Map<String, String[]> splitMap(Map<String, String[]> src, double rate) { assert 0 <= rate && rate <= 1; Map<String, String[]> output = new TreeMap<String, String[]>(); for (Map.Entry<String, String[]> entry : src.entrySet()) { String[][] array = spiltArray(entry.getValue(), rate); output.put(entry.getKey(), array[0]); entry.setValue(array[1]); } return output; }	[ "public", "static", "Map", "<", "String", ",", "String", "[", "]", ">", "splitMap", "(", "Map", "<", "String", ",", "String", "[", "]", ">", "src", ",", "double", "rate", ")", "{", "assert", "0", "<=", "rate", "&&", "rate", "<=", "1", ";", "Map", "<", "String", ",", "String", "[", "]", ">", "output", "=", "new", "TreeMap", "<", "String", ",", "String", "[", "]", ">", "(", ")", ";", "for", "(", "Map", ".", "Entry", "<", "String", ",", "String", "[", "]", ">", "entry", ":", "src", ".", "entrySet", "(", ")", ")", "{", "String", "[", "]", "[", "]", "array", "=", "spiltArray", "(", "entry", ".", "getValue", "(", ")", ",", "rate", ")", ";", "output", ".", "put", "(", "entry", ".", "getKey", "(", ")", ",", "array", "[", "0", "]", ")", ";", "entry", ".", "setValue", "(", "array", "[", "1", "]", ")", ";", "}", "return", "output", ";", "}" ]	分割Map,其中旧map直接被改变 @param src @param rate @return	[ "分割Map", "其中旧map直接被改变" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/classification/utilities/CollectionUtility.java#L86-L98	train	Splits a map of strings into two maps of strings of the same type.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/model/crf/CRFModel.java	CRFModel.load	public static CRFModel load(String path) { CRFModel model = loadBin(path + BIN_EXT); if (model != null) return model; return loadTxt(path, new CRFModel(new DoubleArrayTrie<FeatureFunction>())); }	java	public static CRFModel load(String path) { CRFModel model = loadBin(path + BIN_EXT); if (model != null) return model; return loadTxt(path, new CRFModel(new DoubleArrayTrie<FeatureFunction>())); }	[ "public", "static", "CRFModel", "load", "(", "String", "path", ")", "{", "CRFModel", "model", "=", "loadBin", "(", "path", "+", "BIN_EXT", ")", ";", "if", "(", "model", "!=", "null", ")", "return", "model", ";", "return", "loadTxt", "(", "path", ",", "new", "CRFModel", "(", "new", "DoubleArrayTrie", "<", "FeatureFunction", ">", "(", ")", ")", ")", ";", "}" ]	加载CRF++模型<br> 如果存在缓存的话，优先读取缓存，否则读取txt，并且建立缓存 @param path txt的路径，即使不存在.txt，只存在.bin，也应传入txt的路径，方法内部会自动加.bin后缀 @return	[ "加载CRF", "++", "模型<br", ">", "如果存在缓存的话，优先读取缓存，否则读取txt，并且建立缓存" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/crf/CRFModel.java#L414-L419	train	Load a CRFModel from a file.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapAggregatingState.java	HeapAggregatingState.get	@Override public OUT get() { ACC accumulator = getInternal(); return accumulator != null ? aggregateTransformation.aggFunction.getResult(accumulator) : null; }	java	@Override public OUT get() { ACC accumulator = getInternal(); return accumulator != null ? aggregateTransformation.aggFunction.getResult(accumulator) : null; }	[ "@", "Override", "public", "OUT", "get", "(", ")", "{", "ACC", "accumulator", "=", "getInternal", "(", ")", ";", "return", "accumulator", "!=", "null", "?", "aggregateTransformation", ".", "aggFunction", ".", "getResult", "(", "accumulator", ")", ":", "null", ";", "}" ]	------------------------------------------------------------------------	[ "------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapAggregatingState.java#L89-L93	train	Returns the result of the aggregate operation.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/bean/DynaBean.java	DynaBean.get	@SuppressWarnings("unchecked") public <T> T get(String fieldName) throws BeanException{ if(Map.class.isAssignableFrom(beanClass)){ return (T) ((Map<?, ?>)bean).get(fieldName); }else{ try { final Method method = BeanUtil.getBeanDesc(beanClass).getGetter(fieldName); if(null == method){ throw new BeanException("No get method for {}", fieldName); } return (T) method.invoke(this.bean); } catch (Exception e) { throw new BeanException(e); } } }	java	@SuppressWarnings("unchecked") public <T> T get(String fieldName) throws BeanException{ if(Map.class.isAssignableFrom(beanClass)){ return (T) ((Map<?, ?>)bean).get(fieldName); }else{ try { final Method method = BeanUtil.getBeanDesc(beanClass).getGetter(fieldName); if(null == method){ throw new BeanException("No get method for {}", fieldName); } return (T) method.invoke(this.bean); } catch (Exception e) { throw new BeanException(e); } } }	[ "@", "SuppressWarnings", "(", "\"unchecked\"", ")", "public", "<", "T", ">", "T", "get", "(", "String", "fieldName", ")", "throws", "BeanException", "{", "if", "(", "Map", ".", "class", ".", "isAssignableFrom", "(", "beanClass", ")", ")", "{", "return", "(", "T", ")", "(", "(", "Map", "<", "?", ",", "?", ">", ")", "bean", ")", ".", "get", "(", "fieldName", ")", ";", "}", "else", "{", "try", "{", "final", "Method", "method", "=", "BeanUtil", ".", "getBeanDesc", "(", "beanClass", ")", ".", "getGetter", "(", "fieldName", ")", ";", "if", "(", "null", "==", "method", ")", "{", "throw", "new", "BeanException", "(", "\"No get method for {}\"", ",", "fieldName", ")", ";", "}", "return", "(", "T", ")", "method", ".", "invoke", "(", "this", ".", "bean", ")", ";", "}", "catch", "(", "Exception", "e", ")", "{", "throw", "new", "BeanException", "(", "e", ")", ";", "}", "}", "}" ]	获得字段对应值 @param <T> 属性值类型 @param fieldName 字段名 @return 字段值 @throws BeanException 反射获取属性值或字段值导致的异常	[ "获得字段对应值" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/DynaBean.java#L74-L89	train	Gets the value of the specified field from the underlying map.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java	DoubleArrayTrie.build	public int build(List<String> _key, int _length[], int _value[], int _keySize) { if (_key == null \|\| _keySize > _key.size()) return 0; // progress_func_ = progress_func; key = _key; length = _length; keySize = _keySize; value = _value; progress = 0; allocSize = 0; resize(65536 * 32); // 32个双字节 base[0] = 1; nextCheckPos = 0; Node root_node = new Node(); root_node.left = 0; root_node.right = keySize; root_node.depth = 0; List<Node> siblings = new ArrayList<Node>(); fetch(root_node, siblings); insert(siblings, new BitSet()); shrink(); // size += (1 << 8 * 2) + 1; // ??? // if (size >= allocSize) resize (size); key = null; length = null; return error_; }	java	public int build(List<String> _key, int _length[], int _value[], int _keySize) { if (_key == null \|\| _keySize > _key.size()) return 0; // progress_func_ = progress_func; key = _key; length = _length; keySize = _keySize; value = _value; progress = 0; allocSize = 0; resize(65536 * 32); // 32个双字节 base[0] = 1; nextCheckPos = 0; Node root_node = new Node(); root_node.left = 0; root_node.right = keySize; root_node.depth = 0; List<Node> siblings = new ArrayList<Node>(); fetch(root_node, siblings); insert(siblings, new BitSet()); shrink(); // size += (1 << 8 * 2) + 1; // ??? // if (size >= allocSize) resize (size); key = null; length = null; return error_; }	[ "public", "int", "build", "(", "List", "<", "String", ">", "_key", ",", "int", "_length", "[", "]", ",", "int", "_value", "[", "]", ",", "int", "_keySize", ")", "{", "if", "(", "_key", "==", "null", "\|\|", "_keySize", ">", "_key", ".", "size", "(", ")", ")", "return", "0", ";", "// progress_func_ = progress_func;", "key", "=", "_key", ";", "length", "=", "_length", ";", "keySize", "=", "_keySize", ";", "value", "=", "_value", ";", "progress", "=", "0", ";", "allocSize", "=", "0", ";", "resize", "(", "65536", "", "32", ")", ";", "// 32个双字节", "base", "[", "0", "]", "=", "1", ";", "nextCheckPos", "=", "0", ";", "Node", "root_node", "=", "new", "Node", "(", ")", ";", "root_node", ".", "left", "=", "0", ";", "root_node", ".", "right", "=", "keySize", ";", "root_node", ".", "depth", "=", "0", ";", "List", "<", "Node", ">", "siblings", "=", "new", "ArrayList", "<", "Node", ">", "(", ")", ";", "fetch", "(", "root_node", ",", "siblings", ")", ";", "insert", "(", "siblings", ",", "new", "BitSet", "(", ")", ")", ";", "shrink", "(", ")", ";", "// size += (1 << 8 2) + 1; // ???", "// if (size >= allocSize) resize (size);", "key", "=", "null", ";", "length", "=", "null", ";", "return", "error_", ";", "}" ]	唯一的构建方法 @param _key 值set，必须字典序 @param _length 对应每个key的长度，留空动态获取 @param _value 每个key对应的值，留空使用key的下标作为值 @param _keySize key的长度，应该设为_key.size @return 是否出错	[ "唯一的构建方法" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java#L387-L423	train	Build a new key - value pair.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/AbstractDb.java	AbstractDb.checkTransactionSupported	protected void checkTransactionSupported(Connection conn) throws SQLException, DbRuntimeException { if (null == isSupportTransaction) { isSupportTransaction = conn.getMetaData().supportsTransactions(); } if (false == isSupportTransaction) { throw new DbRuntimeException("Transaction not supported for current database!"); } }	java	protected void checkTransactionSupported(Connection conn) throws SQLException, DbRuntimeException { if (null == isSupportTransaction) { isSupportTransaction = conn.getMetaData().supportsTransactions(); } if (false == isSupportTransaction) { throw new DbRuntimeException("Transaction not supported for current database!"); } }	[ "protected", "void", "checkTransactionSupported", "(", "Connection", "conn", ")", "throws", "SQLException", ",", "DbRuntimeException", "{", "if", "(", "null", "==", "isSupportTransaction", ")", "{", "isSupportTransaction", "=", "conn", ".", "getMetaData", "(", ")", ".", "supportsTransactions", "(", ")", ";", "}", "if", "(", "false", "==", "isSupportTransaction", ")", "{", "throw", "new", "DbRuntimeException", "(", "\"Transaction not supported for current database!\"", ")", ";", "}", "}" ]	检查数据库是否支持事务，此项检查同一个数据源只检查一次，如果不支持抛出DbRuntimeException异常 @param conn Connection @throws SQLException 获取元数据信息失败 @throws DbRuntimeException 不支持事务	[ "检查数据库是否支持事务，此项检查同一个数据源只检查一次，如果不支持抛出DbRuntimeException异常" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/AbstractDb.java#L853-L860	train	Check if transaction support for current database.	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networknt/light-4j	utility/src/main/java/com/networknt/utility/CharUtils.java	CharUtils.unicodeEscaped	public static String unicodeEscaped(final Character ch) { if (ch == null) { return null; } return unicodeEscaped(ch.charValue()); }	java	public static String unicodeEscaped(final Character ch) { if (ch == null) { return null; } return unicodeEscaped(ch.charValue()); }	[ "public", "static", "String", "unicodeEscaped", "(", "final", "Character", "ch", ")", "{", "if", "(", "ch", "==", "null", ")", "{", "return", "null", ";", "}", "return", "unicodeEscaped", "(", "ch", ".", "charValue", "(", ")", ")", ";", "}" ]	<p>Converts the string to the Unicode format '\u0020'.</p> <p>This format is the Java source code format.</p> <p>If {@code null} is passed in, {@code null} will be returned.</p> <pre> CharUtils.unicodeEscaped(null) = null CharUtils.unicodeEscaped(' ') = "\u0020" CharUtils.unicodeEscaped('A') = "\u0041" </pre> @param ch the character to convert, may be null @return the escaped Unicode string, null if null input	[ "<p", ">", "Converts", "the", "string", "to", "the", "Unicode", "format", "\\", "u0020", ".", "<", "/", "p", ">" ]	2a60257c60663684c8f6dc8b5ea3cf184e534db6	https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/utility/src/main/java/com/networknt/utility/CharUtils.java#L318-L323	train	Unicode escaped.	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apache/flink	flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/SqlClient.java	SqlClient.openCli	private void openCli(SessionContext context, Executor executor) { CliClient cli = null; try { cli = new CliClient(context, executor); // interactive CLI mode if (options.getUpdateStatement() == null) { cli.open(); } // execute single update statement else { final boolean success = cli.submitUpdate(options.getUpdateStatement()); if (!success) { throw new SqlClientException("Could not submit given SQL update statement to cluster."); } } } finally { if (cli != null) { cli.close(); } } }	java	private void openCli(SessionContext context, Executor executor) { CliClient cli = null; try { cli = new CliClient(context, executor); // interactive CLI mode if (options.getUpdateStatement() == null) { cli.open(); } // execute single update statement else { final boolean success = cli.submitUpdate(options.getUpdateStatement()); if (!success) { throw new SqlClientException("Could not submit given SQL update statement to cluster."); } } } finally { if (cli != null) { cli.close(); } } }	[ "private", "void", "openCli", "(", "SessionContext", "context", ",", "Executor", "executor", ")", "{", "CliClient", "cli", "=", "null", ";", "try", "{", "cli", "=", "new", "CliClient", "(", "context", ",", "executor", ")", ";", "// interactive CLI mode", "if", "(", "options", ".", "getUpdateStatement", "(", ")", "==", "null", ")", "{", "cli", ".", "open", "(", ")", ";", "}", "// execute single update statement", "else", "{", "final", "boolean", "success", "=", "cli", ".", "submitUpdate", "(", "options", ".", "getUpdateStatement", "(", ")", ")", ";", "if", "(", "!", "success", ")", "{", "throw", "new", "SqlClientException", "(", "\"Could not submit given SQL update statement to cluster.\"", ")", ";", "}", "}", "}", "finally", "{", "if", "(", "cli", "!=", "null", ")", "{", "cli", ".", "close", "(", ")", ";", "}", "}", "}" ]	Opens the CLI client for executing SQL statements. @param context session context @param executor executor	[ "Opens", "the", "CLI", "client", "for", "executing", "SQL", "statements", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/SqlClient.java#L117-L137	train	Opens the CLI mode.	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-100, -100, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30526 ]
apache/flink	flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java	Decimal.floor	public Decimal floor() { BigDecimal bd = toBigDecimal().setScale(0, RoundingMode.FLOOR); return fromBigDecimal(bd, bd.precision(), 0); }	java	public Decimal floor() { BigDecimal bd = toBigDecimal().setScale(0, RoundingMode.FLOOR); return fromBigDecimal(bd, bd.precision(), 0); }	[ "public", "Decimal", "floor", "(", ")", "{", "BigDecimal", "bd", "=", "toBigDecimal", "(", ")", ".", "setScale", "(", "0", ",", "RoundingMode", ".", "FLOOR", ")", ";", "return", "fromBigDecimal", "(", "bd", ",", "bd", ".", "precision", "(", ")", ",", "0", ")", ";", "}" ]	note that result may exceed the original precision.	[ "note", "that", "result", "may", "exceed", "the", "original", "precision", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java#L258-L261	train	Floor the decimal value.	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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/writer/RecordWriter.java	RecordWriter.tryFinishCurrentBufferBuilder	private void tryFinishCurrentBufferBuilder(int targetChannel) { if (!bufferBuilders[targetChannel].isPresent()) { return; } BufferBuilder bufferBuilder = bufferBuilders[targetChannel].get(); bufferBuilders[targetChannel] = Optional.empty(); numBytesOut.inc(bufferBuilder.finish()); numBuffersOut.inc(); }	java	private void tryFinishCurrentBufferBuilder(int targetChannel) { if (!bufferBuilders[targetChannel].isPresent()) { return; } BufferBuilder bufferBuilder = bufferBuilders[targetChannel].get(); bufferBuilders[targetChannel] = Optional.empty(); numBytesOut.inc(bufferBuilder.finish()); numBuffersOut.inc(); }	[ "private", "void", "tryFinishCurrentBufferBuilder", "(", "int", "targetChannel", ")", "{", "if", "(", "!", "bufferBuilders", "[", "targetChannel", "]", ".", "isPresent", "(", ")", ")", "{", "return", ";", "}", "BufferBuilder", "bufferBuilder", "=", "bufferBuilders", "[", "targetChannel", "]", ".", "get", "(", ")", ";", "bufferBuilders", "[", "targetChannel", "]", "=", "Optional", ".", "empty", "(", ")", ";", "numBytesOut", ".", "inc", "(", "bufferBuilder", ".", "finish", "(", ")", ")", ";", "numBuffersOut", ".", "inc", "(", ")", ";", "}" ]	Marks the current {@link BufferBuilder} as finished and clears the state for next one.	[ "Marks", "the", "current", "{" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/writer/RecordWriter.java#L231-L239	train	Tries to finish the current buffer builder.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/suggest/Suggester.java	Suggester.sortScoreMap	private static TreeMap<Double ,Set<String>> sortScoreMap(TreeMap<String, Double> scoreMap) { TreeMap<Double, Set<String>> result = new TreeMap<Double, Set<String>>(Collections.reverseOrder()); for (Map.Entry<String, Double> entry : scoreMap.entrySet()) { Set<String> sentenceSet = result.get(entry.getValue()); if (sentenceSet == null) { sentenceSet = new HashSet<String>(); result.put(entry.getValue(), sentenceSet); } sentenceSet.add(entry.getKey()); } return result; }	java	private static TreeMap<Double ,Set<String>> sortScoreMap(TreeMap<String, Double> scoreMap) { TreeMap<Double, Set<String>> result = new TreeMap<Double, Set<String>>(Collections.reverseOrder()); for (Map.Entry<String, Double> entry : scoreMap.entrySet()) { Set<String> sentenceSet = result.get(entry.getValue()); if (sentenceSet == null) { sentenceSet = new HashSet<String>(); result.put(entry.getValue(), sentenceSet); } sentenceSet.add(entry.getKey()); } return result; }	[ "private", "static", "TreeMap", "<", "Double", ",", "Set", "<", "String", ">", ">", "sortScoreMap", "(", "TreeMap", "<", "String", ",", "Double", ">", "scoreMap", ")", "{", "TreeMap", "<", "Double", ",", "Set", "<", "String", ">", ">", "result", "=", "new", "TreeMap", "<", "Double", ",", "Set", "<", "String", ">", ">", "(", "Collections", ".", "reverseOrder", "(", ")", ")", ";", "for", "(", "Map", ".", "Entry", "<", "String", ",", "Double", ">", "entry", ":", "scoreMap", ".", "entrySet", "(", ")", ")", "{", "Set", "<", "String", ">", "sentenceSet", "=", "result", ".", "get", "(", "entry", ".", "getValue", "(", ")", ")", ";", "if", "(", "sentenceSet", "==", "null", ")", "{", "sentenceSet", "=", "new", "HashSet", "<", "String", ">", "(", ")", ";", "result", ".", "put", "(", "entry", ".", "getValue", "(", ")", ",", "sentenceSet", ")", ";", "}", "sentenceSet", ".", "add", "(", "entry", ".", "getKey", "(", ")", ")", ";", "}", "return", "result", ";", "}" ]	将分数map排序折叠 @param scoreMap @return	[ "将分数map排序折叠" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/suggest/Suggester.java#L109-L124	train	Sort the score map.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java	ReflectUtil.getConstructorsDirectly	public static Constructor<?>[] getConstructorsDirectly(Class<?> beanClass) throws SecurityException { Assert.notNull(beanClass); return beanClass.getDeclaredConstructors(); }	java	public static Constructor<?>[] getConstructorsDirectly(Class<?> beanClass) throws SecurityException { Assert.notNull(beanClass); return beanClass.getDeclaredConstructors(); }	[ "public", "static", "Constructor", "<", "?", ">", "[", "]", "getConstructorsDirectly", "(", "Class", "<", "?", ">", "beanClass", ")", "throws", "SecurityException", "{", "Assert", ".", "notNull", "(", "beanClass", ")", ";", "return", "beanClass", ".", "getDeclaredConstructors", "(", ")", ";", "}" ]	获得一个类中所有字段列表，直接反射获取，无缓存 @param beanClass 类 @return 字段列表 @throws SecurityException 安全检查异常	[ "获得一个类中所有字段列表，直接反射获取，无缓存" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L88-L91	train	Get the constructors directly from the specified class.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/codec/Rot.java	Rot.decode	public static String decode(String rot, int offset, boolean isDecodeNumber) { final int len = rot.length(); final char[] chars = new char[len]; for (int i = 0; i < len; i++) { chars[i] = decodeChar(rot.charAt(i), offset, isDecodeNumber); } return new String(chars); }	java	public static String decode(String rot, int offset, boolean isDecodeNumber) { final int len = rot.length(); final char[] chars = new char[len]; for (int i = 0; i < len; i++) { chars[i] = decodeChar(rot.charAt(i), offset, isDecodeNumber); } return new String(chars); }	[ "public", "static", "String", "decode", "(", "String", "rot", ",", "int", "offset", ",", "boolean", "isDecodeNumber", ")", "{", "final", "int", "len", "=", "rot", ".", "length", "(", ")", ";", "final", "char", "[", "]", "chars", "=", "new", "char", "[", "len", "]", ";", "for", "(", "int", "i", "=", "0", ";", "i", "<", "len", ";", "i", "++", ")", "{", "chars", "[", "i", "]", "=", "decodeChar", "(", "rot", ".", "charAt", "(", "i", ")", ",", "offset", ",", "isDecodeNumber", ")", ";", "}", "return", "new", "String", "(", "chars", ")", ";", "}" ]	RotN解码 @param rot 被解码的消息密文 @param offset 位移，常用位移13 @param isDecodeNumber 是否解码数字 @return 解码后的字符串	[ "RotN解码" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/codec/Rot.java#L87-L95	train	Decodes a String with the given offset.	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apache/spark	common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java	UTF8String.substring	public UTF8String substring(final int start, final int until) { if (until <= start \|\| start >= numBytes) { return EMPTY_UTF8; } int i = 0; int c = 0; while (i < numBytes && c < start) { i += numBytesForFirstByte(getByte(i)); c += 1; } int j = i; while (i < numBytes && c < until) { i += numBytesForFirstByte(getByte(i)); c += 1; } if (i > j) { byte[] bytes = new byte[i - j]; copyMemory(base, offset + j, bytes, BYTE_ARRAY_OFFSET, i - j); return fromBytes(bytes); } else { return EMPTY_UTF8; } }	java	public UTF8String substring(final int start, final int until) { if (until <= start \|\| start >= numBytes) { return EMPTY_UTF8; } int i = 0; int c = 0; while (i < numBytes && c < start) { i += numBytesForFirstByte(getByte(i)); c += 1; } int j = i; while (i < numBytes && c < until) { i += numBytesForFirstByte(getByte(i)); c += 1; } if (i > j) { byte[] bytes = new byte[i - j]; copyMemory(base, offset + j, bytes, BYTE_ARRAY_OFFSET, i - j); return fromBytes(bytes); } else { return EMPTY_UTF8; } }	[ "public", "UTF8String", "substring", "(", "final", "int", "start", ",", "final", "int", "until", ")", "{", "if", "(", "until", "<=", "start", "\|\|", "start", ">=", "numBytes", ")", "{", "return", "EMPTY_UTF8", ";", "}", "int", "i", "=", "0", ";", "int", "c", "=", "0", ";", "while", "(", "i", "<", "numBytes", "&&", "c", "<", "start", ")", "{", "i", "+=", "numBytesForFirstByte", "(", "getByte", "(", "i", ")", ")", ";", "c", "+=", "1", ";", "}", "int", "j", "=", "i", ";", "while", "(", "i", "<", "numBytes", "&&", "c", "<", "until", ")", "{", "i", "+=", "numBytesForFirstByte", "(", "getByte", "(", "i", ")", ")", ";", "c", "+=", "1", ";", "}", "if", "(", "i", ">", "j", ")", "{", "byte", "[", "]", "bytes", "=", "new", "byte", "[", "i", "-", "j", "]", ";", "copyMemory", "(", "base", ",", "offset", "+", "j", ",", "bytes", ",", "BYTE_ARRAY_OFFSET", ",", "i", "-", "j", ")", ";", "return", "fromBytes", "(", "bytes", ")", ";", "}", "else", "{", "return", "EMPTY_UTF8", ";", "}", "}" ]	Returns a substring of this. @param start the position of first code point @param until the position after last code point, exclusive.	[ "Returns", "a", "substring", "of", "this", "." ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L308-L333	train	Returns a substring of this string.	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looly/hutool	hutool-http/src/main/java/cn/hutool/http/useragent/UserAgentParser.java	UserAgentParser.parseEngineVersion	private static String parseEngineVersion(Engine engine, String userAgentString) { final String regexp = engine.getName() + "[\\/\\- ]([\\d\\w\\.\\-]+)"; final Pattern pattern = Pattern.compile(regexp, Pattern.CASE_INSENSITIVE); return ReUtil.getGroup1(pattern, userAgentString); }	java	private static String parseEngineVersion(Engine engine, String userAgentString) { final String regexp = engine.getName() + "[\\/\\- ]([\\d\\w\\.\\-]+)"; final Pattern pattern = Pattern.compile(regexp, Pattern.CASE_INSENSITIVE); return ReUtil.getGroup1(pattern, userAgentString); }	[ "private", "static", "String", "parseEngineVersion", "(", "Engine", "engine", ",", "String", "userAgentString", ")", "{", "final", "String", "regexp", "=", "engine", ".", "getName", "(", ")", "+", "\"[\\\\/\\\\- ]([\\\\d\\\\w\\\\.\\\\-]+)\"", ";", "final", "Pattern", "pattern", "=", "Pattern", ".", "compile", "(", "regexp", ",", "Pattern", ".", "CASE_INSENSITIVE", ")", ";", "return", "ReUtil", ".", "getGroup1", "(", "pattern", ",", "userAgentString", ")", ";", "}" ]	解析引擎版本 @param engine 引擎 @param userAgentString User-Agent字符串 @return 引擎版本	[ "解析引擎版本" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/useragent/UserAgentParser.java#L79-L83	train	Parse the engine version from the user agent string.	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netty/netty	resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolverBuilder.java	DnsNameResolverBuilder.searchDomains	public DnsNameResolverBuilder searchDomains(Iterable<String> searchDomains) { checkNotNull(searchDomains, "searchDomains"); final List<String> list = new ArrayList<String>(4); for (String f : searchDomains) { if (f == null) { break; } // Avoid duplicate entries. if (list.contains(f)) { continue; } list.add(f); } this.searchDomains = list.toArray(new String[0]); return this; }	java	public DnsNameResolverBuilder searchDomains(Iterable<String> searchDomains) { checkNotNull(searchDomains, "searchDomains"); final List<String> list = new ArrayList<String>(4); for (String f : searchDomains) { if (f == null) { break; } // Avoid duplicate entries. if (list.contains(f)) { continue; } list.add(f); } this.searchDomains = list.toArray(new String[0]); return this; }	[ "public", "DnsNameResolverBuilder", "searchDomains", "(", "Iterable", "<", "String", ">", "searchDomains", ")", "{", "checkNotNull", "(", "searchDomains", ",", "\"searchDomains\"", ")", ";", "final", "List", "<", "String", ">", "list", "=", "new", "ArrayList", "<", "String", ">", "(", "4", ")", ";", "for", "(", "String", "f", ":", "searchDomains", ")", "{", "if", "(", "f", "==", "null", ")", "{", "break", ";", "}", "// Avoid duplicate entries.", "if", "(", "list", ".", "contains", "(", "f", ")", ")", "{", "continue", ";", "}", "list", ".", "add", "(", "f", ")", ";", "}", "this", ".", "searchDomains", "=", "list", ".", "toArray", "(", "new", "String", "[", "0", "]", ")", ";", "return", "this", ";", "}" ]	Set the list of search domains of the resolver. @param searchDomains the search domains @return {@code this}	[ "Set", "the", "list", "of", "search", "domains", "of", "the", "resolver", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolverBuilder.java#L345-L365	train	Sets the search domains.	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looly/hutool	hutool-http/src/main/java/cn/hutool/http/HtmlUtil.java	HtmlUtil.unwrapHtmlTag	public static String unwrapHtmlTag(String content, String... tagNames) { return removeHtmlTag(content, false, tagNames); }	java	public static String unwrapHtmlTag(String content, String... tagNames) { return removeHtmlTag(content, false, tagNames); }	[ "public", "static", "String", "unwrapHtmlTag", "(", "String", "content", ",", "String", "...", "tagNames", ")", "{", "return", "removeHtmlTag", "(", "content", ",", "false", ",", "tagNames", ")", ";", "}" ]	清除指定HTML标签，不包括内容<br> 不区分大小写 @param content 文本 @param tagNames 要清除的标签 @return 去除标签后的文本	[ "清除指定HTML标签，不包括内容<br", ">", "不区分大小写" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HtmlUtil.java#L109-L111	train	Unwraps the HTML tag with the given names.	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SeleniumHQ/selenium	java/server/src/org/openqa/grid/common/RegistrationRequest.java	RegistrationRequest.build	public static RegistrationRequest build(GridNodeConfiguration configuration, String name) { return RegistrationRequest.build(configuration, name, null); }	java	public static RegistrationRequest build(GridNodeConfiguration configuration, String name) { return RegistrationRequest.build(configuration, name, null); }	[ "public", "static", "RegistrationRequest", "build", "(", "GridNodeConfiguration", "configuration", ",", "String", "name", ")", "{", "return", "RegistrationRequest", ".", "build", "(", "configuration", ",", "name", ",", "null", ")", ";", "}" ]	Build a RegistrationRequest from the provided {@link GridNodeConfiguration}, use the provided name. This is different than {@code new RegistrationRequest(GridNodeConfiguration, String)} because it will first load any specified {@link GridNodeConfiguration#nodeConfigFile} and then merge the provided configuration onto it. @param configuration the {@link GridNodeConfiguration} to use. 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netty/netty	codec/src/main/java/io/netty/handler/codec/compression/Bzip2HuffmanAllocator.java	Bzip2HuffmanAllocator.allocateNodeLengthsWithRelocation	private static void allocateNodeLengthsWithRelocation(final int[] array, final int nodesToMove, final int insertDepth) { int firstNode = array.length - 2; int nextNode = array.length - 1; int currentDepth = insertDepth == 1 ? 2 : 1; int nodesLeftToMove = insertDepth == 1 ? nodesToMove - 2 : nodesToMove; for (int availableNodes = currentDepth << 1; availableNodes > 0; currentDepth++) { final int lastNode = firstNode; firstNode = firstNode <= nodesToMove ? firstNode : first(array, lastNode - 1, nodesToMove); int offset = 0; if (currentDepth >= insertDepth) { offset = Math.min(nodesLeftToMove, 1 << (currentDepth - insertDepth)); } else if (currentDepth == insertDepth - 1) { offset = 1; if (array[firstNode] == lastNode) { firstNode++; } } for (int i = availableNodes - (lastNode - firstNode + offset); i > 0; i--) { array[nextNode--] = currentDepth; } nodesLeftToMove -= offset; availableNodes = (lastNode - firstNode + offset) << 1; } }	java	private static void allocateNodeLengthsWithRelocation(final int[] array, final int nodesToMove, final int insertDepth) { int firstNode = array.length - 2; int nextNode = array.length - 1; int currentDepth = insertDepth == 1 ? 2 : 1; int nodesLeftToMove = insertDepth == 1 ? nodesToMove - 2 : nodesToMove; for (int availableNodes = currentDepth << 1; availableNodes > 0; currentDepth++) { final int lastNode = firstNode; firstNode = firstNode <= nodesToMove ? firstNode : first(array, lastNode - 1, nodesToMove); int offset = 0; if (currentDepth >= insertDepth) { offset = Math.min(nodesLeftToMove, 1 << (currentDepth - insertDepth)); } else if (currentDepth == insertDepth - 1) { offset = 1; if (array[firstNode] == lastNode) { firstNode++; } } for (int i = availableNodes - (lastNode - firstNode + offset); i > 0; i--) { array[nextNode--] = currentDepth; } nodesLeftToMove -= offset; availableNodes = (lastNode - firstNode + offset) << 1; } }	[ "private", "static", "void", "allocateNodeLengthsWithRelocation", "(", "final", "int", "[", "]", "array", ",", "final", "int", "nodesToMove", ",", "final", "int", "insertDepth", ")", "{", "int", "firstNode", "=", "array", ".", "length", "-", "2", ";", "int", "nextNode", "=", "array", ".", "length", "-", "1", ";", "int", "currentDepth", "=", "insertDepth", "==", "1", "?", "2", ":", "1", ";", "int", "nodesLeftToMove", "=", "insertDepth", "==", "1", "?", "nodesToMove", "-", "2", ":", "nodesToMove", ";", "for", "(", "int", "availableNodes", "=", "currentDepth", "<<", "1", ";", "availableNodes", ">", "0", ";", "currentDepth", "++", ")", "{", "final", "int", "lastNode", "=", "firstNode", ";", "firstNode", "=", "firstNode", "<=", "nodesToMove", "?", "firstNode", ":", "first", "(", "array", ",", "lastNode", "-", "1", ",", "nodesToMove", ")", ";", "int", "offset", "=", "0", ";", "if", "(", "currentDepth", ">=", "insertDepth", ")", "{", "offset", "=", "Math", ".", "min", "(", "nodesLeftToMove", ",", "1", "<<", "(", "currentDepth", "-", "insertDepth", ")", ")", ";", "}", "else", "if", "(", "currentDepth", "==", "insertDepth", "-", "1", ")", "{", "offset", "=", "1", ";", "if", "(", "array", "[", "firstNode", "]", "==", "lastNode", ")", "{", "firstNode", "++", ";", "}", "}", "for", "(", "int", "i", "=", "availableNodes", "-", "(", "lastNode", "-", "firstNode", "+", "offset", ")", ";", "i", ">", "0", ";", "i", "--", ")", "{", "array", "[", "nextNode", "--", "]", "=", "currentDepth", ";", "}", "nodesLeftToMove", "-=", "offset", ";", "availableNodes", "=", "(", "lastNode", "-", "firstNode", "+", "offset", ")", "<<", "1", ";", "}", "}" ]	A final allocation pass that relocates nodes in order to achieve a maximum code length limit. @param array The code length array @param nodesToMove The number of internal nodes to be relocated @param insertDepth The depth at which to insert relocated nodes	[ "A", "final", "allocation", "pass", "that", "relocates", "nodes", "in", "order", "to", "achieve", "a", "maximum", "code", "length", "limit", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/compression/Bzip2HuffmanAllocator.java#L122-L150	train	Allocate node lengths with relocation.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlot.java	TaskSlot.markInactive	public boolean markInactive() { if (TaskSlotState.ACTIVE == state \|\| TaskSlotState.ALLOCATED == state) { state = TaskSlotState.ALLOCATED; return true; } else { return false; } }	java	public boolean markInactive() { if (TaskSlotState.ACTIVE == state \|\| TaskSlotState.ALLOCATED == state) { state = TaskSlotState.ALLOCATED; return true; } else { return false; } }	[ "public", "boolean", "markInactive", "(", ")", "{", "if", "(", "TaskSlotState", ".", "ACTIVE", "==", "state", "\|\|", "TaskSlotState", ".", "ALLOCATED", "==", "state", ")", "{", "state", "=", "TaskSlotState", ".", "ALLOCATED", ";", "return", "true", ";", "}", "else", "{", "return", "false", ";", "}", "}" ]	Mark the slot as inactive/allocated. A slot can only be marked as inactive/allocated if it's in state allocated or active. @return True if the new state of the slot is allocated; otherwise false	[ "Mark", "the", "slot", "as", "inactive", "/", "allocated", ".", "A", "slot", "can", "only", "be", "marked", "as", "inactive", "/", "allocated", "if", "it", "s", "in", "state", "allocated", "or", "active", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlot.java#L253-L261	train	Mark this slot as inactive.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java	StateAssignmentOperation.extractIntersectingState	private static void extractIntersectingState( Collection<KeyedStateHandle> originalSubtaskStateHandles, KeyGroupRange rangeToExtract, List<KeyedStateHandle> extractedStateCollector) { for (KeyedStateHandle keyedStateHandle : originalSubtaskStateHandles) { if (keyedStateHandle != null) { KeyedStateHandle intersectedKeyedStateHandle = keyedStateHandle.getIntersection(rangeToExtract); if (intersectedKeyedStateHandle != null) { extractedStateCollector.add(intersectedKeyedStateHandle); } } } }	java	private static void extractIntersectingState( Collection<KeyedStateHandle> originalSubtaskStateHandles, KeyGroupRange rangeToExtract, List<KeyedStateHandle> extractedStateCollector) { for (KeyedStateHandle keyedStateHandle : originalSubtaskStateHandles) { if (keyedStateHandle != null) { KeyedStateHandle intersectedKeyedStateHandle = keyedStateHandle.getIntersection(rangeToExtract); if (intersectedKeyedStateHandle != null) { extractedStateCollector.add(intersectedKeyedStateHandle); } } } }	[ "private", "static", "void", "extractIntersectingState", "(", "Collection", "<", "KeyedStateHandle", ">", "originalSubtaskStateHandles", ",", "KeyGroupRange", "rangeToExtract", ",", "List", "<", "KeyedStateHandle", ">", "extractedStateCollector", ")", "{", "for", "(", "KeyedStateHandle", "keyedStateHandle", ":", "originalSubtaskStateHandles", ")", "{", "if", "(", "keyedStateHandle", "!=", "null", ")", "{", "KeyedStateHandle", "intersectedKeyedStateHandle", "=", "keyedStateHandle", ".", "getIntersection", "(", "rangeToExtract", ")", ";", "if", "(", "intersectedKeyedStateHandle", "!=", "null", ")", "{", "extractedStateCollector", ".", "add", "(", "intersectedKeyedStateHandle", ")", ";", "}", "}", "}", "}" ]	Extracts certain key group ranges from the given state handles and adds them to the collector.	[ "Extracts", "certain", "key", "group", "ranges", "from", "the", "given", "state", "handles", "and", "adds", "them", "to", "the", "collector", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java#L464-L480	train	Extract the intersection of the given range to extract into the given list of state handles.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronNameGenderClassifier.java	PerceptronNameGenderClassifier.extractGivenName	public static String extractGivenName(String name) { if (name.length() <= 2) return "_" + name.substring(name.length() - 1); else return name.substring(name.length() - 2); }	java	public static String extractGivenName(String name) { if (name.length() <= 2) return "_" + name.substring(name.length() - 1); else return name.substring(name.length() - 2); }	[ "public", "static", "String", "extractGivenName", "(", "String", "name", ")", "{", "if", "(", "name", ".", "length", "(", ")", "<=", "2", ")", "return", "\"_\"", "+", "name", ".", "substring", "(", "name", ".", "length", "(", ")", "-", "1", ")", ";", "else", "return", "name", ".", "substring", "(", "name", ".", "length", "(", ")", "-", "2", ")", ";", "}" ]	去掉姓氏，截取中国人名中的名字 @param name 姓名 @return 名	[ "去掉姓氏，截取中国人名中的名字" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronNameGenderClassifier.java#L63-L70	train	Extract a name from a name of a CID SECTYPE.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/comparator/VersionComparator.java	VersionComparator.compare	@Override public int compare(String version1, String version2) { if(version1 == version2) { return 0; } if (version1 == null && version2 == null) { return 0; } else if (version1 == null) {// null视为最小版本，排在前 return -1; } else if (version2 == null) { return 1; } final List<String> v1s = StrUtil.split(version1, CharUtil.DOT); final List<String> v2s = StrUtil.split(version2, CharUtil.DOT); int diff = 0; int minLength = Math.min(v1s.size(), v2s.size());// 取最小长度值 String v1; String v2; for (int i = 0; i < minLength; i++) { v1 = v1s.get(i); v2 = v2s.get(i); // 先比较长度 diff = v1.length() - v2.length(); if (0 == diff) { diff = v1.compareTo(v2); } if(diff != 0) { //已有结果，结束 break; } } // 如果已经分出大小，则直接返回，如果未分出大小，则再比较位数，有子版本的为大； return (diff != 0) ? diff : v1s.size() - v2s.size(); }	java	@Override public int compare(String version1, String version2) { if(version1 == version2) { return 0; } if (version1 == null && version2 == null) { return 0; } else if (version1 == null) {// null视为最小版本，排在前 return -1; } else if (version2 == null) { return 1; } final List<String> v1s = StrUtil.split(version1, CharUtil.DOT); final List<String> v2s = StrUtil.split(version2, CharUtil.DOT); int diff = 0; int minLength = Math.min(v1s.size(), v2s.size());// 取最小长度值 String v1; String v2; for (int i = 0; i < minLength; i++) { v1 = v1s.get(i); v2 = v2s.get(i); // 先比较长度 diff = v1.length() - v2.length(); if (0 == diff) { diff = v1.compareTo(v2); } if(diff != 0) { //已有结果，结束 break; } } // 如果已经分出大小，则直接返回，如果未分出大小，则再比较位数，有子版本的为大； return (diff != 0) ? diff : v1s.size() - v2s.size(); }	[ "@", "Override", "public", "int", "compare", "(", "String", "version1", ",", "String", "version2", ")", "{", "if", "(", "version1", "==", "version2", ")", "{", "return", "0", ";", "}", "if", "(", "version1", "==", "null", "&&", "version2", "==", "null", ")", "{", "return", "0", ";", "}", "else", "if", "(", "version1", "==", "null", ")", "{", "// null视为最小版本，排在前\r", "return", "-", "1", ";", "}", "else", "if", "(", "version2", "==", "null", ")", "{", "return", "1", ";", "}", "final", "List", "<", "String", ">", "v1s", "=", "StrUtil", ".", "split", "(", "version1", ",", "CharUtil", ".", "DOT", ")", ";", "final", "List", "<", "String", ">", "v2s", "=", "StrUtil", ".", "split", "(", "version2", ",", "CharUtil", ".", "DOT", ")", ";", "int", "diff", "=", "0", ";", "int", "minLength", "=", "Math", ".", "min", "(", "v1s", ".", "size", "(", ")", ",", "v2s", ".", "size", "(", ")", ")", ";", "// 取最小长度值\r", "String", "v1", ";", "String", "v2", ";", "for", "(", "int", "i", "=", "0", ";", "i", "<", "minLength", ";", "i", "++", ")", "{", "v1", "=", "v1s", ".", "get", "(", "i", ")", ";", "v2", "=", "v2s", ".", "get", "(", "i", ")", ";", "// 先比较长度\r", "diff", "=", "v1", ".", "length", "(", ")", "-", "v2", ".", "length", "(", ")", ";", "if", "(", "0", "==", "diff", ")", "{", "diff", "=", "v1", ".", "compareTo", "(", "v2", ")", ";", "}", "if", "(", "diff", "!=", "0", ")", "{", "//已有结果，结束\r", "break", ";", "}", "}", "// 如果已经分出大小，则直接返回，如果未分出大小，则再比较位数，有子版本的为大；\r", "return", "(", "diff", "!=", "0", ")", "?", "diff", ":", "v1s", ".", "size", "(", ")", "-", "v2s", ".", "size", "(", ")", ";", "}" ]	比较两个版本<br> null版本排在最小：既： <pre> compare(null, "v1") < 0 compare("v1", "v1") = 0 compare(null, null) = 0 compare("v1", null) > 0 compare("1.0.0", "1.0.2") < 0 compare("1.0.2", "1.0.2a") < 0 compare("1.13.0", "1.12.1c") > 0 compare("V0.0.20170102", "V0.0.20170101") > 0 </pre> @param version1 版本1 @param version2 版本2	[ "比较两个版本<br", ">", "null版本排在最小：既：", "<pre", ">", "compare", "(", "null", "v1", ")", "&lt", ";", "0", "compare", "(", "v1", "v1", ")", "=", "0", "compare", "(", "null", "null", ")", "=", "0", "compare", "(", "v1", "null", ")", "&gt", ";", "0", "compare", "(", "1", ".", "0", ".", "0", "1", ".", "0", ".", "2", ")", "&lt", ";", "0", "compare", "(", "1", ".", "0", ".", "2", "1", ".", "0", ".", "2a", ")", "&lt", ";", "0", "compare", "(", "1", ".", "13", ".", "0", "1", ".", "12", ".", "1c", ")", "&gt", ";", "0", "compare", "(", "V0", ".", "0", ".", "20170102", "V0", ".", "0", ".", "20170101", ")", "&gt", ";", "0", "<", "/", "pre", ">" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/comparator/VersionComparator.java#L50-L86	train	Compares two version strings.	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apache/flink	flink-java/src/main/java/org/apache/flink/api/java/RemoteEnvironment.java	RemoteEnvironment.installShutdownHook	private void installShutdownHook() { if (shutdownHook == null) { this.shutdownHook = ShutdownHookUtil.addShutdownHook(this::dispose, getClass().getSimpleName(), LOG); } }	java	private void installShutdownHook() { if (shutdownHook == null) { this.shutdownHook = ShutdownHookUtil.addShutdownHook(this::dispose, getClass().getSimpleName(), LOG); } }	[ "private", "void", "installShutdownHook", "(", ")", "{", "if", "(", "shutdownHook", "==", "null", ")", "{", "this", ".", "shutdownHook", "=", "ShutdownHookUtil", ".", "addShutdownHook", "(", "this", "::", "dispose", ",", "getClass", "(", ")", ".", "getSimpleName", "(", ")", ",", "LOG", ")", ";", "}", "}" ]	------------------------------------------------------------------------	[ "------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/RemoteEnvironment.java#L252-L256	train	Installs a shutdown hook.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java	FileUtil.copy	public static File copy(String srcPath, String destPath, boolean isOverride) throws IORuntimeException { return copy(file(srcPath), file(destPath), isOverride); }	java	public static File copy(String srcPath, String destPath, boolean isOverride) throws IORuntimeException { return copy(file(srcPath), file(destPath), isOverride); }	[ "public", "static", "File", "copy", "(", "String", "srcPath", ",", "String", "destPath", ",", "boolean", "isOverride", ")", "throws", "IORuntimeException", "{", "return", "copy", "(", "file", "(", "srcPath", ")", ",", "file", "(", "destPath", ")", ",", "isOverride", ")", ";", "}" ]	复制文件或目录<br> 如果目标文件为目录，则将源文件以相同文件名拷贝到目标目录 @param srcPath 源文件或目录 @param destPath 目标文件或目录，目标不存在会自动创建（目录、文件都创建） @param isOverride 是否覆盖目标文件 @return 目标目录或文件 @throws IORuntimeException IO异常	[ "复制文件或目录<br", ">", "如果目标文件为目录，则将源文件以相同文件名拷贝到目标目录" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L983-L985	train	Copy a file from srcPath to destPath.	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apache/incubator-shardingsphere	sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/ShardingExecutorService.java	ShardingExecutorService.close	public void close() { SHUTDOWN_EXECUTOR.execute(new Runnable() { @Override public void run() { try { executorService.shutdown(); while (!executorService.awaitTermination(5, TimeUnit.SECONDS)) { executorService.shutdownNow(); } } catch (final InterruptedException ex) { Thread.currentThread().interrupt(); } } }); }	java	public void close() { SHUTDOWN_EXECUTOR.execute(new Runnable() { @Override public void run() { try { executorService.shutdown(); while (!executorService.awaitTermination(5, TimeUnit.SECONDS)) { executorService.shutdownNow(); } } catch (final InterruptedException ex) { Thread.currentThread().interrupt(); } } }); }	[ "public", "void", "close", "(", ")", "{", "SHUTDOWN_EXECUTOR", ".", "execute", "(", "new", "Runnable", "(", ")", "{", "@", "Override", "public", "void", "run", "(", ")", "{", "try", "{", "executorService", ".", "shutdown", "(", ")", ";", "while", "(", "!", "executorService", ".", "awaitTermination", "(", "5", ",", "TimeUnit", ".", "SECONDS", ")", ")", "{", "executorService", ".", "shutdownNow", "(", ")", ";", "}", "}", "catch", "(", "final", "InterruptedException", "ex", ")", "{", "Thread", ".", "currentThread", "(", ")", ".", "interrupt", "(", ")", ";", "}", "}", "}", ")", ";", "}" ]	Close executor service.	[ "Close", "executor", "service", "." ]	f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d	https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/ShardingExecutorService.java#L61-L76	train	Close the application.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/iterative/task/AbstractIterativeTask.java	AbstractIterativeTask.createWorksetUpdateOutputCollector	protected Collector<OT> createWorksetUpdateOutputCollector(Collector<OT> delegate) { DataOutputView outputView = worksetBackChannel.getWriteEnd(); TypeSerializer<OT> serializer = getOutputSerializer(); return new WorksetUpdateOutputCollector<OT>(outputView, serializer, delegate); }	java	protected Collector<OT> createWorksetUpdateOutputCollector(Collector<OT> delegate) { DataOutputView outputView = worksetBackChannel.getWriteEnd(); TypeSerializer<OT> serializer = getOutputSerializer(); return new WorksetUpdateOutputCollector<OT>(outputView, serializer, delegate); }	[ "protected", "Collector", "<", "OT", ">", "createWorksetUpdateOutputCollector", "(", "Collector", "<", "OT", ">", "delegate", ")", "{", "DataOutputView", "outputView", "=", "worksetBackChannel", ".", "getWriteEnd", "(", ")", ";", "TypeSerializer", "<", "OT", ">", "serializer", "=", "getOutputSerializer", "(", ")", ";", "return", "new", "WorksetUpdateOutputCollector", "<", "OT", ">", "(", "outputView", ",", "serializer", ",", "delegate", ")", ";", "}" ]	Creates a new {@link WorksetUpdateOutputCollector}. <p>This collector is used by {@link IterationIntermediateTask} or {@link IterationTailTask} to update the workset. <p>If a non-null delegate is given, the new {@link Collector} will write to the solution set and also call collect(T) of the delegate. @param delegate null -OR- the delegate on which to call collect() by the newly created collector @return a new {@link WorksetUpdateOutputCollector}	[ "Creates", "a", "new", "{", "@link", "WorksetUpdateOutputCollector", "}", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/iterative/task/AbstractIterativeTask.java#L316-L320	train	Create a workset update output collector.	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netty/netty	codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java	HttpConversionUtil.toFullHttpRequest	public static FullHttpRequest toFullHttpRequest(int streamId, Http2Headers http2Headers, ByteBufAllocator alloc, boolean validateHttpHeaders) throws Http2Exception { // HTTP/2 does not define a way to carry the version identifier that is included in the HTTP/1.1 request line. final CharSequence method = checkNotNull(http2Headers.method(), "method header cannot be null in conversion to HTTP/1.x"); final CharSequence path = checkNotNull(http2Headers.path(), "path header cannot be null in conversion to HTTP/1.x"); FullHttpRequest msg = new DefaultFullHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.valueOf(method .toString()), path.toString(), alloc.buffer(), validateHttpHeaders); try { addHttp2ToHttpHeaders(streamId, http2Headers, msg, false); } catch (Http2Exception e) { msg.release(); throw e; } catch (Throwable t) { msg.release(); throw streamError(streamId, PROTOCOL_ERROR, t, "HTTP/2 to HTTP/1.x headers conversion error"); } return msg; }	java	public static FullHttpRequest toFullHttpRequest(int streamId, Http2Headers http2Headers, ByteBufAllocator alloc, boolean validateHttpHeaders) throws Http2Exception { // HTTP/2 does not define a way to carry the version identifier that is included in the HTTP/1.1 request line. final CharSequence method = checkNotNull(http2Headers.method(), "method header cannot be null in conversion to HTTP/1.x"); final CharSequence path = checkNotNull(http2Headers.path(), "path header cannot be null in conversion to HTTP/1.x"); FullHttpRequest msg = new DefaultFullHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.valueOf(method .toString()), path.toString(), alloc.buffer(), validateHttpHeaders); try { addHttp2ToHttpHeaders(streamId, http2Headers, msg, false); } catch (Http2Exception e) { msg.release(); throw e; } catch (Throwable t) { msg.release(); throw streamError(streamId, PROTOCOL_ERROR, t, "HTTP/2 to HTTP/1.x headers conversion error"); } return msg; }	[ "public", "static", "FullHttpRequest", "toFullHttpRequest", "(", "int", "streamId", ",", "Http2Headers", "http2Headers", ",", "ByteBufAllocator", "alloc", ",", "boolean", "validateHttpHeaders", ")", "throws", "Http2Exception", "{", "// HTTP/2 does not define a way to carry the version identifier that is included in the HTTP/1.1 request line.", "final", "CharSequence", "method", "=", "checkNotNull", "(", "http2Headers", ".", "method", "(", ")", ",", "\"method header cannot be null in conversion to HTTP/1.x\"", ")", ";", "final", "CharSequence", "path", "=", "checkNotNull", "(", "http2Headers", ".", "path", "(", ")", ",", "\"path header cannot be null in conversion to HTTP/1.x\"", ")", ";", "FullHttpRequest", "msg", "=", "new", "DefaultFullHttpRequest", "(", "HttpVersion", ".", "HTTP_1_1", ",", "HttpMethod", ".", "valueOf", "(", "method", ".", "toString", "(", ")", ")", ",", "path", ".", "toString", "(", ")", ",", "alloc", ".", "buffer", "(", ")", ",", "validateHttpHeaders", ")", ";", "try", "{", "addHttp2ToHttpHeaders", "(", "streamId", ",", "http2Headers", ",", "msg", ",", "false", ")", ";", "}", "catch", "(", "Http2Exception", "e", ")", "{", "msg", ".", "release", "(", ")", ";", "throw", "e", ";", "}", "catch", "(", "Throwable", "t", ")", "{", "msg", ".", "release", "(", ")", ";", "throw", "streamError", "(", "streamId", ",", "PROTOCOL_ERROR", ",", "t", ",", "\"HTTP/2 to HTTP/1.x headers conversion error\"", ")", ";", "}", "return", "msg", ";", "}" ]	Create a new object to contain the request data @param streamId The stream associated with the request @param http2Headers The initial set of HTTP/2 headers to create the request with @param alloc The {@link ByteBufAllocator} to use to generate the content of the message @param validateHttpHeaders <ul> <li>{@code true} to validate HTTP headers in the http-codec</li> <li>{@code false} not to validate HTTP headers in the http-codec</li> </ul> @return A new request object which represents headers/data @throws Http2Exception see {@link #addHttp2ToHttpHeaders(int, Http2Headers, FullHttpMessage, boolean)}	[ "Create", "a", "new", "object", "to", "contain", "the", "request", "data" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java#L246-L266	train	Convert a HTTP2 request to a FullHttpRequest.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/IOManager.java	IOManager.createChannel	public FileIOChannel.ID createChannel() { final int num = getNextPathNum(); return new FileIOChannel.ID(this.paths[num], num, this.random); }	java	public FileIOChannel.ID createChannel() { final int num = getNextPathNum(); return new FileIOChannel.ID(this.paths[num], num, this.random); }	[ "public", "FileIOChannel", ".", "ID", "createChannel", "(", ")", "{", "final", "int", "num", "=", "getNextPathNum", "(", ")", ";", "return", "new", "FileIOChannel", ".", "ID", "(", "this", ".", "paths", "[", "num", "]", ",", "num", ",", "this", ".", "random", ")", ";", "}" ]	Creates a new {@link FileIOChannel.ID} in one of the temp directories. Multiple invocations of this method spread the channels evenly across the different directories. @return A channel to a temporary directory.	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apache/flink	flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java	Decimal.fromBigDecimal	public static Decimal fromBigDecimal(BigDecimal bd, int precision, int scale) { bd = bd.setScale(scale, RoundingMode.HALF_UP); if (bd.precision() > precision) { return null; } long longVal = -1; if (precision <= MAX_COMPACT_PRECISION) { longVal = bd.movePointRight(scale).longValueExact(); } return new Decimal(precision, scale, longVal, bd); }	java	public static Decimal fromBigDecimal(BigDecimal bd, int precision, int scale) { bd = bd.setScale(scale, RoundingMode.HALF_UP); if (bd.precision() > precision) { return null; } long longVal = -1; if (precision <= MAX_COMPACT_PRECISION) { longVal = bd.movePointRight(scale).longValueExact(); } return new Decimal(precision, scale, longVal, bd); }	[ "public", "static", "Decimal", "fromBigDecimal", "(", "BigDecimal", "bd", ",", "int", "precision", ",", "int", "scale", ")", "{", "bd", "=", "bd", ".", "setScale", "(", "scale", ",", "RoundingMode", ".", "HALF_UP", ")", ";", "if", "(", "bd", ".", "precision", "(", ")", ">", "precision", ")", "{", "return", "null", ";", "}", "long", "longVal", "=", "-", "1", ";", "if", "(", "precision", "<=", "MAX_COMPACT_PRECISION", ")", "{", "longVal", "=", "bd", ".", "movePointRight", "(", "scale", ")", ".", "longValueExact", "(", ")", ";", "}", "return", "new", "Decimal", "(", "precision", ",", "scale", ",", "longVal", ",", "bd", ")", ";", "}" ]	then `precision` is checked. if precision overflow, it will return `null`	[ "then", "precision", "is", "checked", ".", "if", "precision", "overflow", "it", "will", "return", "null" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java#L158-L169	train	Create a Decimal from a BigDecimal.	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spring-projects/spring-boot	spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/command/shell/Shell.java	Shell.handleSigInt	protected void handleSigInt() { if (this.commandRunner.handleSigInt()) { return; } System.out.println(String.format("%nThanks for using Spring Boot")); System.exit(1); }	java	protected void handleSigInt() { if (this.commandRunner.handleSigInt()) { return; } System.out.println(String.format("%nThanks for using Spring Boot")); System.exit(1); }	[ "protected", "void", "handleSigInt", "(", ")", "{", "if", "(", "this", ".", "commandRunner", ".", "handleSigInt", "(", ")", ")", "{", "return", ";", "}", "System", ".", "out", ".", "println", "(", "String", ".", "format", "(", "\"%nThanks for using Spring Boot\"", ")", ")", ";", "System", ".", "exit", "(", "1", ")", ";", "}" ]	Final handle an interrupt signal (CTRL-C).	[ "Final", "handle", "an", "interrupt", "signal", "(", "CTRL", "-", "C", ")", "." ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/command/shell/Shell.java#L175-L181	train	Handle the sigint.	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apache/flink	flink-java/src/main/java/org/apache/flink/api/java/operators/IterativeDataSet.java	IterativeDataSet.translateToDataFlow	@Override protected org.apache.flink.api.common.operators.SingleInputOperator<T, T, ?> translateToDataFlow(Operator<T> input) { // All the translation magic happens when the iteration end is encountered. throw new InvalidProgramException("A data set that is part of an iteration was used as a sink or action." + " Did you forget to close the iteration?"); }	java	@Override protected org.apache.flink.api.common.operators.SingleInputOperator<T, T, ?> translateToDataFlow(Operator<T> input) { // All the translation magic happens when the iteration end is encountered. throw new InvalidProgramException("A data set that is part of an iteration was used as a sink or action." + " Did you forget to close the iteration?"); }	[ "@", "Override", "protected", "org", ".", "apache", ".", "flink", ".", "api", ".", "common", ".", "operators", ".", "SingleInputOperator", "<", "T", ",", "T", ",", "?", ">", "translateToDataFlow", "(", "Operator", "<", "T", ">", "input", ")", "{", "// All the translation magic happens when the iteration end is encountered.", "throw", "new", "InvalidProgramException", "(", "\"A data set that is part of an iteration was used as a sink or action.\"", "+", "\" Did you forget to close the iteration?\"", ")", ";", "}" ]	--------------------------------------------------------------------------------------------	[ "--------------------------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/IterativeDataSet.java#L150-L155	train	This method is used to translate a single input operator to a data flow.	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apache/spark	common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java	JavaUtils.bufferToArray	public static byte[] bufferToArray(ByteBuffer buffer) { if (buffer.hasArray() && buffer.arrayOffset() == 0 && buffer.array().length == buffer.remaining()) { return buffer.array(); } else { byte[] bytes = new byte[buffer.remaining()]; buffer.get(bytes); return bytes; } }	java	public static byte[] bufferToArray(ByteBuffer buffer) { if (buffer.hasArray() && buffer.arrayOffset() == 0 && buffer.array().length == buffer.remaining()) { return buffer.array(); } else { byte[] bytes = new byte[buffer.remaining()]; buffer.get(bytes); return bytes; } }	[ "public", "static", "byte", "[", "]", "bufferToArray", "(", "ByteBuffer", "buffer", ")", "{", "if", "(", "buffer", ".", "hasArray", "(", ")", "&&", "buffer", ".", "arrayOffset", "(", ")", "==", "0", "&&", "buffer", ".", "array", "(", ")", ".", "length", "==", "buffer", ".", "remaining", "(", ")", ")", "{", "return", "buffer", ".", "array", "(", ")", ";", "}", "else", "{", "byte", "[", "]", "bytes", "=", "new", "byte", "[", "buffer", ".", "remaining", "(", ")", "]", ";", "buffer", ".", "get", "(", "bytes", ")", ";", "return", "bytes", ";", "}", "}" ]	Returns a byte array with the buffer's contents, trying to avoid copying the data if possible.	[ "Returns", "a", "byte", "array", "with", "the", "buffer", "s", "contents", "trying", "to", "avoid", "copying", "the", "data", "if", "possible", "." ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java#L354-L363	train	Get the bytes from the given ByteBuffer.	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netty/netty	buffer/src/main/java/io/netty/buffer/Unpooled.java	Unpooled.copiedBuffer	public static ByteBuf copiedBuffer(char[] array, int offset, int length, Charset charset) { if (array == null) { throw new NullPointerException("array"); } if (length == 0) { return EMPTY_BUFFER; } return copiedBuffer(CharBuffer.wrap(array, offset, length), charset); }	java	public static ByteBuf copiedBuffer(char[] array, int offset, int length, Charset charset) { if (array == null) { throw new NullPointerException("array"); } if (length == 0) { return EMPTY_BUFFER; } return copiedBuffer(CharBuffer.wrap(array, offset, length), charset); }	[ "public", "static", "ByteBuf", "copiedBuffer", "(", "char", "[", "]", "array", ",", "int", "offset", ",", "int", "length", ",", "Charset", "charset", ")", "{", "if", "(", "array", "==", "null", ")", "{", "throw", "new", "NullPointerException", "(", "\"array\"", ")", ";", "}", "if", "(", "length", "==", "0", ")", "{", "return", "EMPTY_BUFFER", ";", "}", "return", "copiedBuffer", "(", "CharBuffer", ".", "wrap", "(", "array", ",", "offset", ",", "length", ")", ",", "charset", ")", ";", "}" ]	Creates a new big-endian buffer whose content is a subregion of the specified {@code array} encoded in the specified {@code charset}. The new buffer's {@code readerIndex} and {@code writerIndex} are {@code 0} and the length of the encoded string respectively.	[ "Creates", "a", "new", "big", "-", "endian", "buffer", "whose", "content", "is", "a", "subregion", "of", "the", "specified", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/Unpooled.java#L641-L649	train	Create a new byte buffer that wraps the specified char array.	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looly/hutool	hutool-crypto/src/main/java/cn/hutool/crypto/symmetric/RC4.java	RC4.decrypt	public String decrypt(byte[] message, Charset charset) throws CryptoException { return StrUtil.str(crypt(message), charset); }	java	public String decrypt(byte[] message, Charset charset) throws CryptoException { return StrUtil.str(crypt(message), charset); }	[ "public", "String", "decrypt", "(", "byte", "[", "]", "message", ",", "Charset", "charset", ")", "throws", "CryptoException", "{", "return", "StrUtil", ".", "str", "(", "crypt", "(", "message", ")", ",", "charset", ")", ";", "}" ]	解密 @param message 消息 @param charset 编码 @return 明文 @throws CryptoException key长度小于5或者大于255抛出此异常	[ "解密" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/symmetric/RC4.java#L72-L74	train	Decrypt a byte array.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/Execution.java	Execution.triggerSynchronousSavepoint	public void triggerSynchronousSavepoint(long checkpointId, long timestamp, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) { triggerCheckpointHelper(checkpointId, timestamp, checkpointOptions, advanceToEndOfEventTime); }	java	public void triggerSynchronousSavepoint(long checkpointId, long timestamp, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) { triggerCheckpointHelper(checkpointId, timestamp, checkpointOptions, advanceToEndOfEventTime); }	[ "public", "void", "triggerSynchronousSavepoint", "(", "long", "checkpointId", ",", "long", "timestamp", ",", "CheckpointOptions", "checkpointOptions", ",", "boolean", "advanceToEndOfEventTime", ")", "{", "triggerCheckpointHelper", "(", "checkpointId", ",", "timestamp", ",", "checkpointOptions", ",", "advanceToEndOfEventTime", ")", ";", "}" ]	Trigger a new checkpoint on the task of this execution. @param checkpointId of th checkpoint to trigger @param timestamp of the checkpoint to trigger @param checkpointOptions of the checkpoint to trigger @param advanceToEndOfEventTime Flag indicating if the source should inject a {@code MAX_WATERMARK} in the pipeline to fire any registered event-time timers	[ "Trigger", "a", "new", "checkpoint", "on", "the", "task", "of", "this", "execution", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/Execution.java#L881-L883	train	Trigger a synchronous savepoint.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java	IoUtil.readLines	public static <T extends Collection<String>> T readLines(InputStream in, String charsetName, T collection) throws IORuntimeException { return readLines(in, CharsetUtil.charset(charsetName), collection); }	java	public static <T extends Collection<String>> T readLines(InputStream in, String charsetName, T collection) throws IORuntimeException { return readLines(in, CharsetUtil.charset(charsetName), collection); }	[ "public", "static", "<", "T", "extends", "Collection", "<", "String", ">", ">", "T", "readLines", "(", "InputStream", "in", ",", "String", "charsetName", ",", "T", "collection", ")", "throws", "IORuntimeException", "{", "return", "readLines", "(", "in", ",", "CharsetUtil", ".", "charset", "(", "charsetName", ")", ",", "collection", ")", ";", "}" ]	从流中读取内容 @param <T> 集合类型 @param in 输入流 @param charsetName 字符集 @param collection 返回集合 @return 内容 @throws IORuntimeException IO异常	[ "从流中读取内容" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L644-L646	train	Reads the contents of the given input stream into the given collection using the specified encoding.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/router/MethodlessRouter.java	MethodlessRouter.anyMatched	public boolean anyMatched(String[] requestPathTokens) { Map<String, String> pathParams = new HashMap<>(); for (PathPattern pattern : routes.keySet()) { if (pattern.match(requestPathTokens, pathParams)) { return true; } // Reset for the next loop pathParams.clear(); } return false; }	java	public boolean anyMatched(String[] requestPathTokens) { Map<String, String> pathParams = new HashMap<>(); for (PathPattern pattern : routes.keySet()) { if (pattern.match(requestPathTokens, pathParams)) { return true; } // Reset for the next loop pathParams.clear(); } return false; }	[ "public", "boolean", "anyMatched", "(", "String", "[", "]", "requestPathTokens", ")", "{", "Map", "<", "String", ",", "String", ">", "pathParams", "=", "new", "HashMap", "<>", "(", ")", ";", "for", "(", "PathPattern", "pattern", ":", "routes", ".", "keySet", "(", ")", ")", "{", "if", "(", "pattern", ".", "match", "(", "requestPathTokens", ",", "pathParams", ")", ")", "{", "return", "true", ";", "}", "// Reset for the next loop", "pathParams", ".", "clear", "(", ")", ";", "}", "return", "false", ";", "}" ]	Checks if there's any matching route.	[ "Checks", "if", "there", "s", "any", "matching", "route", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/router/MethodlessRouter.java#L108-L120	train	Checks if any of the routes match the request path tokens.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/InMemoryPartition.java	InMemoryPartition.clearAllMemory	public void clearAllMemory(List<MemorySegment> target) { // return the overflow segments if (this.overflowSegments != null) { for (int k = 0; k < this.numOverflowSegments; k++) { target.add(this.overflowSegments[k]); } } // return the partition buffers target.addAll(this.partitionPages); this.partitionPages.clear(); }	java	public void clearAllMemory(List<MemorySegment> target) { // return the overflow segments if (this.overflowSegments != null) { for (int k = 0; k < this.numOverflowSegments; k++) { target.add(this.overflowSegments[k]); } } // return the partition buffers target.addAll(this.partitionPages); this.partitionPages.clear(); }	[ "public", "void", "clearAllMemory", "(", "List", "<", "MemorySegment", ">", "target", ")", "{", "// return the overflow segments", "if", "(", "this", ".", "overflowSegments", "!=", "null", ")", "{", "for", "(", "int", "k", "=", "0", ";", "k", "<", "this", ".", "numOverflowSegments", ";", "k", "++", ")", "{", "target", ".", "add", "(", "this", ".", "overflowSegments", "[", "k", "]", ")", ";", "}", "}", "// return the partition buffers", "target", ".", "addAll", "(", "this", ".", "partitionPages", ")", ";", "this", ".", "partitionPages", ".", "clear", "(", ")", ";", "}" ]	releases all of the partition's segments (pages and overflow buckets) @param target memory pool to release segments to	[ "releases", "all", "of", "the", "partition", "s", "segments", "(", "pages", "and", "overflow", "buckets", ")" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/InMemoryPartition.java#L267-L277	train	Clear all memory.	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spring-projects/spring-boot	spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/bind/Bindable.java	Bindable.mapOf	public static <K, V> Bindable<Map<K, V>> mapOf(Class<K> keyType, Class<V> valueType) { return of(ResolvableType.forClassWithGenerics(Map.class, keyType, valueType)); }	java	public static <K, V> Bindable<Map<K, V>> mapOf(Class<K> keyType, Class<V> valueType) { return of(ResolvableType.forClassWithGenerics(Map.class, keyType, valueType)); }	[ "public", "static", "<", "K", ",", "V", ">", "Bindable", "<", "Map", "<", "K", ",", "V", ">", ">", "mapOf", "(", "Class", "<", "K", ">", "keyType", ",", "Class", "<", "V", ">", "valueType", ")", "{", "return", "of", "(", "ResolvableType", ".", "forClassWithGenerics", "(", "Map", ".", "class", ",", "keyType", ",", "valueType", ")", ")", ";", "}" ]	Create a new {@link Bindable} {@link Map} of the specified key and value type. @param <K> the key type @param <V> the value type @param keyType the map key type @param valueType the map value type @return a {@link Bindable} instance	[ "Create", "a", "new", "{" ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/bind/Bindable.java#L235-L237	train	Create a map binding for the given key and value types.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/collection/AhoCorasick/AhoCorasickDoubleArrayTrie.java	AhoCorasickDoubleArrayTrie.storeEmits	private void storeEmits(int position, int currentState, List<Hit<V>> collectedEmits) { int[] hitArray = output[currentState]; if (hitArray != null) { for (int hit : hitArray) { collectedEmits.add(new Hit<V>(position - l[hit], position, v[hit])); } } }	java	private void storeEmits(int position, int currentState, List<Hit<V>> collectedEmits) { int[] hitArray = output[currentState]; if (hitArray != null) { for (int hit : hitArray) { collectedEmits.add(new Hit<V>(position - l[hit], position, v[hit])); } } }	[ "private", "void", "storeEmits", "(", "int", "position", ",", "int", "currentState", ",", "List", "<", "Hit", "<", "V", ">", ">", "collectedEmits", ")", "{", "int", "[", "]", "hitArray", "=", "output", "[", "currentState", "]", ";", "if", "(", "hitArray", "!=", "null", ")", "{", "for", "(", "int", "hit", ":", "hitArray", ")", "{", "collectedEmits", ".", "add", "(", "new", "Hit", "<", "V", ">", "(", "position", "-", "l", "[", "hit", "]", ",", "position", ",", "v", "[", "hit", "]", ")", ")", ";", "}", "}", "}" ]	保存输出 @param position @param currentState @param collectedEmits	[ "保存输出" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/AhoCorasick/AhoCorasickDoubleArrayTrie.java#L414-L424	train	Stores the hits in the Hit array for the current state.	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apache/flink	flink-core/src/main/java/org/apache/flink/types/ListValue.java	ListValue.addAll	@Override public boolean addAll(final int index, final Collection<? extends V> c) { return this.list.addAll(index, c); }	java	@Override public boolean addAll(final int index, final Collection<? extends V> c) { return this.list.addAll(index, c); }	[ "@", "Override", "public", "boolean", "addAll", "(", "final", "int", "index", ",", "final", "Collection", "<", "?", "extends", "V", ">", "c", ")", "{", "return", "this", ".", "list", ".", "addAll", "(", "index", ",", "c", ")", ";", "}" ]	/* (non-Javadoc) @see java.util.List#addAll(int, java.util.Collection)	[ "/", "*", "(", "non", "-", "Javadoc", ")" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/ListValue.java#L185-L188	train	Add all elements in the collection at the specified index.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java	ClusterAnalyzer.addDocument	public Document<K> addDocument(K id, String document) { return addDocument(id, preprocess(document)); }	java	public Document<K> addDocument(K id, String document) { return addDocument(id, preprocess(document)); }	[ "public", "Document", "<", "K", ">", "addDocument", "(", "K", "id", ",", "String", "document", ")", "{", "return", "addDocument", "(", "id", ",", "preprocess", "(", "document", ")", ")", ";", "}" ]	添加文档 @param id 文档id @param document 文档内容 @return 文档对象	[ "添加文档" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java#L114-L117	train	Add a document to the cache.	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apache/flink	flink-examples/flink-examples-batch/src/main/java/org/apache/flink/examples/java/graph/ConnectedComponents.java	ConnectedComponents.main	public static void main(String... args) throws Exception { // Checking input parameters final ParameterTool params = ParameterTool.fromArgs(args); // set up execution environment ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); final int maxIterations = params.getInt("iterations", 10); // make parameters available in the web interface env.getConfig().setGlobalJobParameters(params); // read vertex and edge data DataSet<Long> vertices = getVertexDataSet(env, params); DataSet<Tuple2<Long, Long>> edges = getEdgeDataSet(env, params).flatMap(new UndirectEdge()); // assign the initial components (equal to the vertex id) DataSet<Tuple2<Long, Long>> verticesWithInitialId = vertices.map(new DuplicateValue<Long>()); // open a delta iteration DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration = verticesWithInitialId.iterateDelta(verticesWithInitialId, maxIterations, 0); // apply the step logic: join with the edges, select the minimum neighbor, update if the component of the candidate is smaller DataSet<Tuple2<Long, Long>> changes = iteration.getWorkset().join(edges).where(0).equalTo(0).with(new NeighborWithComponentIDJoin()) .groupBy(0).aggregate(Aggregations.MIN, 1) .join(iteration.getSolutionSet()).where(0).equalTo(0) .with(new ComponentIdFilter()); // close the delta iteration (delta and new workset are identical) DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes); // emit result if (params.has("output")) { result.writeAsCsv(params.get("output"), "\n", " "); // execute program env.execute("Connected Components Example"); } else { System.out.println("Printing result to stdout. Use --output to specify output path."); result.print(); } }	java	public static void main(String... args) throws Exception { // Checking input parameters final ParameterTool params = ParameterTool.fromArgs(args); // set up execution environment ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); final int maxIterations = params.getInt("iterations", 10); // make parameters available in the web interface env.getConfig().setGlobalJobParameters(params); // read vertex and edge data DataSet<Long> vertices = getVertexDataSet(env, params); DataSet<Tuple2<Long, Long>> edges = getEdgeDataSet(env, params).flatMap(new UndirectEdge()); // assign the initial components (equal to the vertex id) DataSet<Tuple2<Long, Long>> verticesWithInitialId = vertices.map(new DuplicateValue<Long>()); // open a delta iteration DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration = verticesWithInitialId.iterateDelta(verticesWithInitialId, maxIterations, 0); // apply the step logic: join with the edges, select the minimum neighbor, update if the component of the candidate is smaller DataSet<Tuple2<Long, Long>> changes = iteration.getWorkset().join(edges).where(0).equalTo(0).with(new NeighborWithComponentIDJoin()) .groupBy(0).aggregate(Aggregations.MIN, 1) .join(iteration.getSolutionSet()).where(0).equalTo(0) .with(new ComponentIdFilter()); // close the delta iteration (delta and new workset are identical) DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes); // emit result if (params.has("output")) { result.writeAsCsv(params.get("output"), "\n", " "); // execute program env.execute("Connected Components Example"); } else { System.out.println("Printing result to stdout. 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looly/hutool	hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/VelocityUtil.java	VelocityUtil.toFile	public static void toFile(VelocityEngine ve, String templateFileName, VelocityContext context, String destPath) { toFile(ve.getTemplate(templateFileName), context, destPath); }	java	public static void toFile(VelocityEngine ve, String templateFileName, VelocityContext context, String destPath) { toFile(ve.getTemplate(templateFileName), context, destPath); }	[ "public", "static", "void", "toFile", "(", "VelocityEngine", "ve", ",", "String", "templateFileName", ",", "VelocityContext", "context", ",", "String", "destPath", ")", "{", "toFile", "(", "ve", ".", "getTemplate", "(", "templateFileName", ")", ",", "context", ",", "destPath", ")", ";", "}" ]	生成文件 @param ve 模板引擎 @param templateFileName 模板文件名 @param context 上下文 @param destPath 目标路径（绝对）	[ "生成文件" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/VelocityUtil.java#L141-L143	train	Write the Velocity template to a file.	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apache/spark	sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java	HiveSessionImplwithUGI.close	@Override public void close() throws HiveSQLException { try { acquire(true); cancelDelegationToken(); } finally { try { super.close(); } finally { try { FileSystem.closeAllForUGI(sessionUgi); } catch (IOException ioe) { throw new HiveSQLException("Could not clean up file-system handles for UGI: " + sessionUgi, ioe); } } } }	java	@Override public void close() throws HiveSQLException { try { acquire(true); cancelDelegationToken(); } finally { try { super.close(); } finally { try { FileSystem.closeAllForUGI(sessionUgi); } catch (IOException ioe) { throw new HiveSQLException("Could not clean up file-system handles for UGI: " + sessionUgi, ioe); } } } }	[ "@", "Override", "public", "void", "close", "(", ")", "throws", "HiveSQLException", "{", "try", "{", "acquire", "(", "true", ")", ";", "cancelDelegationToken", "(", ")", ";", "}", "finally", "{", "try", "{", "super", ".", "close", "(", ")", ";", "}", "finally", "{", "try", "{", "FileSystem", ".", "closeAllForUGI", "(", "sessionUgi", ")", ";", "}", "catch", "(", "IOException", "ioe", ")", "{", "throw", "new", "HiveSQLException", "(", "\"Could not clean up file-system handles for UGI: \"", "+", "sessionUgi", ",", "ioe", ")", ";", "}", "}", "}", "}" ]	Close the file systems for the session and remove it from the FileSystem cache. Cancel the session's delegation token and close the metastore connection	[ "Close", "the", "file", "systems", "for", "the", "session", "and", "remove", "it", "from", "the", "FileSystem", "cache", ".", "Cancel", "the", "session", "s", "delegation", "token", "and", "close", "the", "metastore", "connection" ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java#L102-L119	train	Close the session.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/InputGateMetrics.java	InputGateMetrics.refreshAndGetMin	int refreshAndGetMin() { int min = Integer.MAX_VALUE; Collection<InputChannel> channels = inputGate.getInputChannels().values(); for (InputChannel channel : channels) { if (channel instanceof RemoteInputChannel) { RemoteInputChannel rc = (RemoteInputChannel) channel; int size = rc.unsynchronizedGetNumberOfQueuedBuffers(); min = Math.min(min, size); } } if (min == Integer.MAX_VALUE) { // in case all channels are local, or the channel collection was empty return 0; } return min; }	java	int refreshAndGetMin() { int min = Integer.MAX_VALUE; Collection<InputChannel> channels = inputGate.getInputChannels().values(); for (InputChannel channel : channels) { if (channel instanceof RemoteInputChannel) { RemoteInputChannel rc = (RemoteInputChannel) channel; int size = rc.unsynchronizedGetNumberOfQueuedBuffers(); min = Math.min(min, size); } } if (min == Integer.MAX_VALUE) { // in case all channels are local, or the channel collection was empty return 0; } return min; }	[ "int", "refreshAndGetMin", "(", ")", "{", "int", "min", "=", "Integer", ".", "MAX_VALUE", ";", "Collection", "<", "InputChannel", ">", "channels", "=", "inputGate", ".", "getInputChannels", "(", ")", ".", "values", "(", ")", ";", "for", "(", "InputChannel", "channel", ":", "channels", ")", "{", "if", "(", "channel", "instanceof", "RemoteInputChannel", ")", "{", "RemoteInputChannel", "rc", "=", "(", "RemoteInputChannel", ")", "channel", ";", "int", "size", "=", "rc", ".", "unsynchronizedGetNumberOfQueuedBuffers", "(", ")", ";", "min", "=", "Math", ".", "min", "(", "min", ",", "size", ")", ";", "}", "}", "if", "(", "min", "==", "Integer", ".", "MAX_VALUE", ")", "{", "// in case all channels are local, or the channel collection was empty", "return", "0", ";", "}", "return", "min", ";", "}" ]	Iterates over all input channels and collects the minimum number of queued buffers in a channel in a best-effort way. @return minimum number of queued buffers per channel (<tt>0</tt> if no channels exist)	[ "Iterates", "over", "all", "input", "channels", "and", "collects", "the", "minimum", "number", "of", "queued", "buffers", "in", "a", "channel", "in", "a", "best", "-", "effort", "way", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/InputGateMetrics.java#L71-L89	train	This method is used to refresh the internal state of the input gate and return the minimum number of queued buffers in the input gate.	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netty/netty	handler/src/main/java/io/netty/handler/ssl/PemX509Certificate.java	PemX509Certificate.append	private static ByteBuf append(ByteBufAllocator allocator, boolean useDirect, X509Certificate cert, int count, ByteBuf pem) throws CertificateEncodingException { ByteBuf encoded = Unpooled.wrappedBuffer(cert.getEncoded()); try { ByteBuf base64 = SslUtils.toBase64(allocator, encoded); try { if (pem == null) { // We try to approximate the buffer's initial size. The sizes of // certificates can vary a lot so it'll be off a bit depending // on the number of elements in the array (count argument). pem = newBuffer(allocator, useDirect, (BEGIN_CERT.length + base64.readableBytes() + END_CERT.length) * count); } pem.writeBytes(BEGIN_CERT); pem.writeBytes(base64); pem.writeBytes(END_CERT); } finally { base64.release(); } } finally { encoded.release(); } return pem; }	java	private static ByteBuf append(ByteBufAllocator allocator, boolean useDirect, X509Certificate cert, int count, ByteBuf pem) throws CertificateEncodingException { ByteBuf encoded = Unpooled.wrappedBuffer(cert.getEncoded()); try { ByteBuf base64 = SslUtils.toBase64(allocator, encoded); try { if (pem == null) { // We try to approximate the buffer's initial size. The sizes of // certificates can vary a lot so it'll be off a bit depending // on the number of elements in the array (count argument). pem = newBuffer(allocator, useDirect, (BEGIN_CERT.length + base64.readableBytes() + END_CERT.length) * count); } pem.writeBytes(BEGIN_CERT); pem.writeBytes(base64); pem.writeBytes(END_CERT); } finally { base64.release(); } } finally { encoded.release(); } return pem; }	[ "private", "static", "ByteBuf", "append", "(", "ByteBufAllocator", "allocator", ",", "boolean", "useDirect", ",", "X509Certificate", "cert", ",", "int", "count", ",", "ByteBuf", "pem", ")", "throws", "CertificateEncodingException", "{", "ByteBuf", "encoded", "=", "Unpooled", ".", "wrappedBuffer", "(", "cert", ".", "getEncoded", "(", ")", ")", ";", "try", "{", "ByteBuf", "base64", "=", "SslUtils", ".", "toBase64", "(", "allocator", ",", "encoded", ")", ";", "try", "{", "if", "(", "pem", "==", "null", ")", "{", "// We try to approximate the buffer's initial size. 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[ "Appends", "the", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/PemX509Certificate.java#L123-L149	train	Append a certificate to a byte buffer.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/util/ClassLoaderUtil.java	ClassLoaderUtil.getUserCodeClassLoaderInfo	public static String getUserCodeClassLoaderInfo(ClassLoader loader) { if (loader instanceof URLClassLoader) { URLClassLoader cl = (URLClassLoader) loader; try { StringBuilder bld = new StringBuilder(); if (cl == ClassLoader.getSystemClassLoader()) { bld.append("System ClassLoader: "); } else { bld.append("URL ClassLoader:"); } for (URL url : cl.getURLs()) { bld.append("\n "); if (url == null) { bld.append("(null)"); } else if ("file".equals(url.getProtocol())) { String filePath = url.getPath(); File fileFile = new File(filePath); bld.append("file: '").append(filePath).append('\''); if (fileFile.exists()) { if (fileFile.isDirectory()) { bld.append(" (directory)"); } else { JarFile jar = null; try { jar = new JarFile(filePath); bld.append(" (valid JAR)"); } catch (Exception e) { bld.append(" (invalid JAR: ").append(e.getMessage()).append(')'); } finally { if (jar != null) { jar.close(); } } } } else { bld.append(" (missing)"); } } else { bld.append("url: ").append(url); } } return bld.toString(); } catch (Throwable t) { return "Cannot access classloader info due to an exception.\n" + ExceptionUtils.stringifyException(t); } } else { return "No user code ClassLoader"; } }	java	public static String getUserCodeClassLoaderInfo(ClassLoader loader) { if (loader instanceof URLClassLoader) { URLClassLoader cl = (URLClassLoader) loader; try { StringBuilder bld = new StringBuilder(); if (cl == ClassLoader.getSystemClassLoader()) { bld.append("System ClassLoader: "); } else { bld.append("URL ClassLoader:"); } for (URL url : cl.getURLs()) { bld.append("\n "); if (url == null) { bld.append("(null)"); } else if ("file".equals(url.getProtocol())) { String filePath = url.getPath(); File fileFile = new File(filePath); bld.append("file: '").append(filePath).append('\''); if (fileFile.exists()) { if (fileFile.isDirectory()) { bld.append(" (directory)"); } else { JarFile jar = null; try { jar = new JarFile(filePath); bld.append(" (valid JAR)"); } catch (Exception e) { bld.append(" (invalid JAR: ").append(e.getMessage()).append(')'); } finally { if (jar != null) { jar.close(); } } } } else { bld.append(" (missing)"); } } else { bld.append("url: ").append(url); } } return bld.toString(); } catch (Throwable t) { return "Cannot access classloader info due to an exception.\n" + ExceptionUtils.stringifyException(t); } } else { return "No user code ClassLoader"; } }	[ "public", "static", "String", "getUserCodeClassLoaderInfo", "(", "ClassLoader", "loader", ")", "{", "if", "(", "loader", "instanceof", "URLClassLoader", ")", "{", "URLClassLoader", "cl", "=", "(", "URLClassLoader", ")", "loader", ";", "try", "{", "StringBuilder", "bld", "=", "new", "StringBuilder", "(", ")", ";", "if", "(", "cl", "==", "ClassLoader", ".", "getSystemClassLoader", "(", ")", ")", "{", "bld", ".", "append", "(", "\"System ClassLoader: \"", ")", ";", "}", "else", "{", "bld", ".", "append", "(", "\"URL ClassLoader:\"", ")", ";", "}", "for", "(", "URL", "url", ":", "cl", ".", "getURLs", "(", ")", ")", "{", "bld", ".", "append", "(", "\"\\n \"", ")", ";", "if", "(", "url", "==", "null", ")", "{", "bld", ".", "append", "(", "\"(null)\"", ")", ";", "}", "else", "if", "(", "\"file\"", ".", "equals", "(", "url", ".", "getProtocol", "(", ")", ")", ")", "{", "String", "filePath", "=", "url", ".", "getPath", "(", ")", ";", "File", "fileFile", "=", "new", "File", "(", "filePath", ")", ";", "bld", ".", "append", "(", "\"file: '\"", ")", ".", "append", "(", "filePath", ")", ".", "append", "(", "'", "'", ")", ";", "if", "(", "fileFile", ".", "exists", "(", ")", ")", "{", "if", "(", "fileFile", ".", "isDirectory", "(", ")", ")", "{", "bld", ".", "append", "(", "\" (directory)\"", ")", ";", "}", "else", "{", "JarFile", "jar", "=", "null", ";", "try", "{", "jar", "=", "new", "JarFile", "(", "filePath", ")", ";", "bld", ".", "append", "(", "\" (valid JAR)\"", ")", ";", "}", "catch", "(", "Exception", "e", ")", "{", "bld", ".", "append", "(", "\" (invalid JAR: \"", ")", ".", "append", "(", "e", ".", "getMessage", "(", ")", ")", ".", "append", "(", "'", "'", ")", ";", "}", "finally", "{", "if", "(", "jar", "!=", "null", ")", "{", "jar", ".", "close", "(", ")", ";", "}", "}", "}", "}", "else", "{", "bld", ".", "append", "(", "\" (missing)\"", ")", ";", "}", "}", "else", "{", "bld", ".", "append", "(", "\"url: \"", ")", ".", "append", "(", "url", ")", ";", "}", "}", "return", "bld", ".", "toString", "(", ")", ";", "}", "catch", "(", "Throwable", "t", ")", "{", "return", "\"Cannot access classloader info due to an exception.\\n\"", "+", "ExceptionUtils", ".", "stringifyException", "(", "t", ")", ";", "}", "}", "else", "{", "return", "\"No user code ClassLoader\"", ";", "}", "}" ]	Gets information about URL class loaders. The returned info string contains all URLs of the class loader. For file URLs, it contains in addition whether the referenced file exists, is a valid JAR file, or is a directory. <p>NOTE: This method makes a best effort to provide information about the classloader, and never throws an exception.</p> @param loader The classloader to get the info string for. @return The classloader information string.	[ "Gets", "information", "about", "URL", "class", "loaders", ".", "The", "returned", "info", "string", "contains", "all", "URLs", "of", "the", "class", "loader", ".", "For", "file", "URLs", "it", "contains", "in", "addition", "whether", "the", "referenced", "file", "exists", "is", "a", "valid", "JAR", "file", "or", "is", "a", "directory", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ClassLoaderUtil.java#L45-L109	train	Get the user code classloader info.	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netty/netty	common/src/main/java/io/netty/util/internal/ThreadExecutorMap.java	ThreadExecutorMap.apply	public static ThreadFactory apply(final ThreadFactory threadFactory, final EventExecutor eventExecutor) { ObjectUtil.checkNotNull(threadFactory, "command"); ObjectUtil.checkNotNull(eventExecutor, "eventExecutor"); return new ThreadFactory() { @Override public Thread newThread(Runnable r) { return threadFactory.newThread(apply(r, eventExecutor)); } }; }	java	public static ThreadFactory apply(final ThreadFactory threadFactory, final EventExecutor eventExecutor) { ObjectUtil.checkNotNull(threadFactory, "command"); ObjectUtil.checkNotNull(eventExecutor, "eventExecutor"); return new ThreadFactory() { @Override public Thread newThread(Runnable r) { return threadFactory.newThread(apply(r, eventExecutor)); } }; }	[ "public", "static", "ThreadFactory", "apply", "(", "final", "ThreadFactory", "threadFactory", ",", "final", "EventExecutor", "eventExecutor", ")", "{", "ObjectUtil", ".", "checkNotNull", "(", "threadFactory", ",", "\"command\"", ")", ";", "ObjectUtil", ".", "checkNotNull", "(", "eventExecutor", ",", "\"eventExecutor\"", ")", ";", "return", "new", "ThreadFactory", "(", ")", "{", "@", "Override", "public", "Thread", "newThread", "(", "Runnable", "r", ")", "{", "return", "threadFactory", ".", "newThread", "(", "apply", "(", "r", ",", "eventExecutor", ")", ")", ";", "}", "}", ";", "}" ]	Decorate the given {@link ThreadFactory} and ensure {@link #currentExecutor()} will return {@code eventExecutor} when called from within the {@link Runnable} during execution.	[ "Decorate", "the", "given", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/internal/ThreadExecutorMap.java#L86-L95	train	Create a thread factory that will create a new thread using the specified command and event executor.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/lang/Validator.java	Validator.validateGeneral	public static <T extends CharSequence> T validateGeneral(T value, String errorMsg) throws ValidateException { if (false == isGeneral(value)) { throw new ValidateException(errorMsg); } return value; }	java	public static <T extends CharSequence> T validateGeneral(T value, String errorMsg) throws ValidateException { if (false == isGeneral(value)) { throw new ValidateException(errorMsg); } return value; }	[ "public", "static", "<", "T", "extends", "CharSequence", ">", "T", "validateGeneral", "(", "T", "value", ",", "String", "errorMsg", ")", "throws", "ValidateException", "{", "if", "(", "false", "==", "isGeneral", "(", "value", ")", ")", "{", "throw", "new", "ValidateException", "(", "errorMsg", ")", ";", "}", "return", "value", ";", "}" ]	验证是否为英文字母、数字和下划线 @param <T> 字符串类型 @param value 值 @param errorMsg 验证错误的信息 @return 验证后的值 @throws ValidateException 验证异常	[ "验证是否为英文字母", "、数字和下划线" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Validator.java#L358-L363	train	Validate a string for a value.	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apache/flink	flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/SimpleConsumerThread.java	SimpleConsumerThread.requestAndSetSpecificTimeOffsetsFromKafka	private static void requestAndSetSpecificTimeOffsetsFromKafka( SimpleConsumer consumer, List<KafkaTopicPartitionState<TopicAndPartition>> partitions, long whichTime) throws IOException { Map<TopicAndPartition, PartitionOffsetRequestInfo> requestInfo = new HashMap<>(); for (KafkaTopicPartitionState<TopicAndPartition> part : partitions) { requestInfo.put(part.getKafkaPartitionHandle(), new PartitionOffsetRequestInfo(whichTime, 1)); } requestAndSetOffsetsFromKafka(consumer, partitions, requestInfo); }	java	private static void requestAndSetSpecificTimeOffsetsFromKafka( SimpleConsumer consumer, List<KafkaTopicPartitionState<TopicAndPartition>> partitions, long whichTime) throws IOException { Map<TopicAndPartition, PartitionOffsetRequestInfo> requestInfo = new HashMap<>(); for (KafkaTopicPartitionState<TopicAndPartition> part : partitions) { requestInfo.put(part.getKafkaPartitionHandle(), new PartitionOffsetRequestInfo(whichTime, 1)); } requestAndSetOffsetsFromKafka(consumer, partitions, requestInfo); }	[ "private", "static", "void", "requestAndSetSpecificTimeOffsetsFromKafka", "(", "SimpleConsumer", "consumer", ",", "List", "<", "KafkaTopicPartitionState", "<", "TopicAndPartition", ">", ">", "partitions", ",", "long", "whichTime", ")", "throws", "IOException", "{", "Map", "<", "TopicAndPartition", ",", "PartitionOffsetRequestInfo", ">", "requestInfo", "=", "new", "HashMap", "<>", "(", ")", ";", "for", "(", "KafkaTopicPartitionState", "<", "TopicAndPartition", ">", "part", ":", "partitions", ")", "{", "requestInfo", ".", "put", "(", "part", ".", "getKafkaPartitionHandle", "(", ")", ",", "new", "PartitionOffsetRequestInfo", "(", "whichTime", ",", "1", ")", ")", ";", "}", "requestAndSetOffsetsFromKafka", "(", "consumer", ",", "partitions", ",", "requestInfo", ")", ";", "}" ]	Request offsets before a specific time for a set of partitions, via a Kafka consumer. @param consumer The consumer connected to lead broker @param partitions The list of partitions we need offsets for @param whichTime The type of time we are requesting. -1 and -2 are special constants (See OffsetRequest)	[ "Request", "offsets", "before", "a", "specific", "time", "for", "a", "set", "of", "partitions", "via", "a", "Kafka", "consumer", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/SimpleConsumerThread.java#L442-L452	train	Request and set specific time offsets from Kafka.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java	JobVertex.setStrictlyCoLocatedWith	public void setStrictlyCoLocatedWith(JobVertex strictlyCoLocatedWith) { if (this.slotSharingGroup == null \|\| this.slotSharingGroup != strictlyCoLocatedWith.slotSharingGroup) { throw new IllegalArgumentException("Strict co-location requires that both vertices are in the same slot sharing group."); } CoLocationGroup thisGroup = this.coLocationGroup; CoLocationGroup otherGroup = strictlyCoLocatedWith.coLocationGroup; if (otherGroup == null) { if (thisGroup == null) { CoLocationGroup group = new CoLocationGroup(this, strictlyCoLocatedWith); this.coLocationGroup = group; strictlyCoLocatedWith.coLocationGroup = group; } else { thisGroup.addVertex(strictlyCoLocatedWith); strictlyCoLocatedWith.coLocationGroup = thisGroup; } } else { if (thisGroup == null) { otherGroup.addVertex(this); this.coLocationGroup = otherGroup; } else { // both had yet distinct groups, we need to merge them thisGroup.mergeInto(otherGroup); } } }	java	public void setStrictlyCoLocatedWith(JobVertex strictlyCoLocatedWith) { if (this.slotSharingGroup == null \|\| this.slotSharingGroup != strictlyCoLocatedWith.slotSharingGroup) { throw new IllegalArgumentException("Strict co-location requires that both vertices are in the same slot sharing group."); } CoLocationGroup thisGroup = this.coLocationGroup; CoLocationGroup otherGroup = strictlyCoLocatedWith.coLocationGroup; if (otherGroup == null) { if (thisGroup == null) { CoLocationGroup group = new CoLocationGroup(this, strictlyCoLocatedWith); this.coLocationGroup = group; strictlyCoLocatedWith.coLocationGroup = group; } else { thisGroup.addVertex(strictlyCoLocatedWith); strictlyCoLocatedWith.coLocationGroup = thisGroup; } } else { if (thisGroup == null) { otherGroup.addVertex(this); this.coLocationGroup = otherGroup; } else { // both had yet distinct groups, we need to merge them thisGroup.mergeInto(otherGroup); } } }	[ "public", "void", "setStrictlyCoLocatedWith", "(", "JobVertex", "strictlyCoLocatedWith", ")", "{", "if", "(", "this", ".", "slotSharingGroup", "==", "null", "\|\|", "this", ".", "slotSharingGroup", "!=", "strictlyCoLocatedWith", ".", "slotSharingGroup", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"Strict co-location requires that both vertices are in the same slot sharing group.\"", ")", ";", "}", "CoLocationGroup", "thisGroup", "=", "this", ".", "coLocationGroup", ";", "CoLocationGroup", "otherGroup", "=", "strictlyCoLocatedWith", ".", "coLocationGroup", ";", "if", "(", "otherGroup", "==", "null", ")", "{", "if", "(", "thisGroup", "==", "null", ")", "{", "CoLocationGroup", "group", "=", "new", "CoLocationGroup", "(", "this", ",", "strictlyCoLocatedWith", ")", ";", "this", ".", "coLocationGroup", "=", "group", ";", "strictlyCoLocatedWith", ".", "coLocationGroup", "=", "group", ";", "}", "else", "{", "thisGroup", ".", "addVertex", "(", "strictlyCoLocatedWith", ")", ";", "strictlyCoLocatedWith", ".", "coLocationGroup", "=", "thisGroup", ";", "}", "}", "else", "{", "if", "(", "thisGroup", "==", "null", ")", "{", "otherGroup", ".", "addVertex", "(", "this", ")", ";", "this", ".", "coLocationGroup", "=", "otherGroup", ";", "}", "else", "{", "// both had yet distinct groups, we need to merge them", "thisGroup", ".", "mergeInto", "(", "otherGroup", ")", ";", "}", "}", "}" ]	Tells this vertex to strictly co locate its subtasks with the subtasks of the given vertex. Strict co-location implies that the n'th subtask of this vertex will run on the same parallel computing instance (TaskManager) as the n'th subtask of the given vertex. NOTE: Co-location is only possible between vertices in a slot sharing group. NOTE: This vertex must (transitively) depend on the vertex to be co-located with. That means that the respective vertex must be a (transitive) input of this vertex. @param strictlyCoLocatedWith The vertex whose subtasks to co-locate this vertex's subtasks with. @throws IllegalArgumentException Thrown, if this vertex and the vertex to co-locate with are not in a common slot sharing group. @see #setSlotSharingGroup(SlotSharingGroup)	[ "Tells", "this", "vertex", "to", "strictly", "co", "locate", "its", "subtasks", "with", "the", "subtasks", "of", "the", "given", "vertex", ".", "Strict", "co", "-", "location", "implies", "that", "the", "n", "th", "subtask", "of", "this", "vertex", "will", "run", "on", "the", "same", "parallel", "computing", "instance", "(", "TaskManager", ")", "as", "the", "n", "th", "subtask", "of", "the", "given", "vertex", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java#L405-L434	train	Sets the strictly - co - located with vertex.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/collection/MDAG/MDAG.java	MDAG.addStringInternal	private void addStringInternal(String str) { String prefixString = determineLongestPrefixInMDAG(str); String suffixString = str.substring(prefixString.length()); //Retrive the data related to the first confluence node (a node with two or more incoming transitions) //in the _transition path from sourceNode corresponding to prefixString. HashMap<String, Object> firstConfluenceNodeDataHashMap = getTransitionPathFirstConfluenceNodeData(sourceNode, prefixString); MDAGNode firstConfluenceNodeInPrefix = (MDAGNode) firstConfluenceNodeDataHashMap.get("confluenceNode"); Integer toFirstConfluenceNodeTransitionCharIndex = (Integer) firstConfluenceNodeDataHashMap.get("toConfluenceNodeTransitionCharIndex"); ///// //Remove the register entries of all the nodes in the prefixString _transition path up to the first confluence node //(those past the confluence node will not need to be removed since they will be cloned and unaffected by the //addition of suffixString). If there is no confluence node in prefixString, then remove the register entries in prefixString's entire _transition path removeTransitionPathRegisterEntries((toFirstConfluenceNodeTransitionCharIndex == null ? prefixString : prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex))); //If there is a confluence node in the prefix, we must duplicate the _transition path //of the prefix starting from that node, before we add suffixString (to the duplicate path). //This ensures that we do not disturb the other _transition paths containing this node. if (firstConfluenceNodeInPrefix != null) { String transitionStringOfPathToFirstConfluenceNode = prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex + 1); String transitionStringOfToBeDuplicatedPath = prefixString.substring(toFirstConfluenceNodeTransitionCharIndex + 1); cloneTransitionPath(firstConfluenceNodeInPrefix, transitionStringOfPathToFirstConfluenceNode, transitionStringOfToBeDuplicatedPath); } ///// //Add the _transition based on suffixString to the end of the (possibly duplicated) _transition path corresponding to prefixString addTransitionPath(sourceNode.transition(prefixString), suffixString); }	java	private void addStringInternal(String str) { String prefixString = determineLongestPrefixInMDAG(str); String suffixString = str.substring(prefixString.length()); //Retrive the data related to the first confluence node (a node with two or more incoming transitions) //in the _transition path from sourceNode corresponding to prefixString. HashMap<String, Object> firstConfluenceNodeDataHashMap = getTransitionPathFirstConfluenceNodeData(sourceNode, prefixString); MDAGNode firstConfluenceNodeInPrefix = (MDAGNode) firstConfluenceNodeDataHashMap.get("confluenceNode"); Integer toFirstConfluenceNodeTransitionCharIndex = (Integer) firstConfluenceNodeDataHashMap.get("toConfluenceNodeTransitionCharIndex"); ///// //Remove the register entries of all the nodes in the prefixString _transition path up to the first confluence node //(those past the confluence node will not need to be removed since they will be cloned and unaffected by the //addition of suffixString). If there is no confluence node in prefixString, then remove the register entries in prefixString's entire _transition path removeTransitionPathRegisterEntries((toFirstConfluenceNodeTransitionCharIndex == null ? prefixString : prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex))); //If there is a confluence node in the prefix, we must duplicate the _transition path //of the prefix starting from that node, before we add suffixString (to the duplicate path). //This ensures that we do not disturb the other _transition paths containing this node. if (firstConfluenceNodeInPrefix != null) { String transitionStringOfPathToFirstConfluenceNode = prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex + 1); String transitionStringOfToBeDuplicatedPath = prefixString.substring(toFirstConfluenceNodeTransitionCharIndex + 1); cloneTransitionPath(firstConfluenceNodeInPrefix, transitionStringOfPathToFirstConfluenceNode, transitionStringOfToBeDuplicatedPath); } ///// //Add the _transition based on suffixString to the end of the (possibly duplicated) _transition path corresponding to prefixString addTransitionPath(sourceNode.transition(prefixString), suffixString); }	[ "private", "void", "addStringInternal", "(", "String", "str", ")", "{", "String", "prefixString", "=", "determineLongestPrefixInMDAG", "(", "str", ")", ";", "String", "suffixString", "=", "str", ".", "substring", "(", "prefixString", ".", "length", "(", ")", ")", ";", "//Retrive the data related to the first confluence node (a node with two or more incoming transitions)", "//in the _transition path from sourceNode corresponding to prefixString.", "HashMap", "<", "String", ",", "Object", ">", "firstConfluenceNodeDataHashMap", "=", "getTransitionPathFirstConfluenceNodeData", "(", "sourceNode", ",", "prefixString", ")", ";", "MDAGNode", "firstConfluenceNodeInPrefix", "=", "(", "MDAGNode", ")", "firstConfluenceNodeDataHashMap", ".", "get", "(", "\"confluenceNode\"", ")", ";", "Integer", "toFirstConfluenceNodeTransitionCharIndex", "=", "(", "Integer", ")", "firstConfluenceNodeDataHashMap", ".", "get", "(", "\"toConfluenceNodeTransitionCharIndex\"", ")", ";", "/////", "//Remove the register entries of all the nodes in the prefixString _transition path up to the first confluence node", "//(those past the confluence node will not need to be removed since they will be cloned and unaffected by the ", "//addition of suffixString). 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netty/netty	handler/src/main/java/io/netty/handler/ssl/PemPrivateKey.java	PemPrivateKey.toPEM	static PemEncoded toPEM(ByteBufAllocator allocator, boolean useDirect, PrivateKey key) { // We can take a shortcut if the private key happens to be already // PEM/PKCS#8 encoded. This is the ideal case and reason why all // this exists. It allows the user to pass pre-encoded bytes straight // into OpenSSL without having to do any of the extra work. if (key instanceof PemEncoded) { return ((PemEncoded) key).retain(); } byte[] bytes = key.getEncoded(); if (bytes == null) { throw new IllegalArgumentException(key.getClass().getName() + " does not support encoding"); } return toPEM(allocator, useDirect, bytes); }	java	static PemEncoded toPEM(ByteBufAllocator allocator, boolean useDirect, PrivateKey key) { // We can take a shortcut if the private key happens to be already // PEM/PKCS#8 encoded. This is the ideal case and reason why all // this exists. It allows the user to pass pre-encoded bytes straight // into OpenSSL without having to do any of the extra work. if (key instanceof PemEncoded) { return ((PemEncoded) key).retain(); } byte[] bytes = key.getEncoded(); if (bytes == null) { throw new IllegalArgumentException(key.getClass().getName() + " does not support encoding"); } return toPEM(allocator, useDirect, bytes); }	[ "static", "PemEncoded", "toPEM", "(", "ByteBufAllocator", "allocator", ",", "boolean", "useDirect", ",", "PrivateKey", "key", ")", "{", "// We can take a shortcut if the private key happens to be already", "// PEM/PKCS#8 encoded. This is the ideal case and reason why all", "// this exists. 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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TimerService.java	TimerService.unregisterAllTimeouts	protected void unregisterAllTimeouts() { for (Timeout<K> timeout : timeouts.values()) { timeout.cancel(); } timeouts.clear(); }	java	protected void unregisterAllTimeouts() { for (Timeout<K> timeout : timeouts.values()) { timeout.cancel(); } timeouts.clear(); }	[ "protected", "void", "unregisterAllTimeouts", "(", ")", "{", "for", "(", "Timeout", "<", "K", ">", "timeout", ":", "timeouts", ".", "values", "(", ")", ")", "{", "timeout", ".", "cancel", "(", ")", ";", "}", "timeouts", ".", "clear", "(", ")", ";", "}" ]	Unregister all timeouts.	[ "Unregister", "all", "timeouts", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TimerService.java#L128-L133	train	Unregister all timeouts.	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apache/spark	core/src/main/java/org/apache/spark/shuffle/sort/PackedRecordPointer.java	PackedRecordPointer.packPointer	public static long packPointer(long recordPointer, int partitionId) { assert (partitionId <= MAXIMUM_PARTITION_ID); // Note that without word alignment we can address 2^27 bytes = 128 megabytes per page. // Also note that this relies on some internals of how TaskMemoryManager encodes its addresses. final long pageNumber = (recordPointer & MASK_LONG_UPPER_13_BITS) >>> 24; final long compressedAddress = pageNumber \| (recordPointer & MASK_LONG_LOWER_27_BITS); return (((long) partitionId) << 40) \| compressedAddress; }	java	public static long packPointer(long recordPointer, int partitionId) { assert (partitionId <= MAXIMUM_PARTITION_ID); // Note that without word alignment we can address 2^27 bytes = 128 megabytes per page. // Also note that this relies on some internals of how TaskMemoryManager encodes its addresses. final long pageNumber = (recordPointer & MASK_LONG_UPPER_13_BITS) >>> 24; final long compressedAddress = pageNumber \| (recordPointer & MASK_LONG_LOWER_27_BITS); return (((long) partitionId) << 40) \| compressedAddress; }	[ "public", "static", "long", "packPointer", "(", "long", "recordPointer", ",", "int", "partitionId", ")", "{", "assert", "(", "partitionId", "<=", "MAXIMUM_PARTITION_ID", ")", ";", "// Note that without word alignment we can address 2^27 bytes = 128 megabytes per page.", "// Also note that this relies on some internals of how TaskMemoryManager encodes its addresses.", "final", "long", "pageNumber", "=", "(", "recordPointer", "&", "MASK_LONG_UPPER_13_BITS", ")", ">>>", "24", ";", "final", "long", "compressedAddress", "=", "pageNumber", "\|", "(", "recordPointer", "&", "MASK_LONG_LOWER_27_BITS", ")", ";", "return", "(", "(", "(", "long", ")", "partitionId", ")", "<<", "40", ")", "\|", "compressedAddress", ";", "}" ]	Pack a record address and partition id into a single word. @param recordPointer a record pointer encoded by TaskMemoryManager. @param partitionId a shuffle partition id (maximum value of 2^24). @return a packed pointer that can be decoded using the {@link PackedRecordPointer} class.	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apache/flink	flink-java/src/main/java/org/apache/flink/api/java/operators/SortPartitionOperator.java	SortPartitionOperator.sortPartition	public SortPartitionOperator<T> sortPartition(int field, Order order) { if (useKeySelector) { throw new InvalidProgramException("Expression keys cannot be appended after a KeySelector"); } ensureSortableKey(field); keys.add(new Keys.ExpressionKeys<>(field, getType())); orders.add(order); return this; }	java	public SortPartitionOperator<T> sortPartition(int field, Order order) { if (useKeySelector) { throw new InvalidProgramException("Expression keys cannot be appended after a KeySelector"); } ensureSortableKey(field); keys.add(new Keys.ExpressionKeys<>(field, getType())); orders.add(order); return this; }	[ "public", "SortPartitionOperator", "<", "T", ">", "sortPartition", "(", "int", "field", ",", "Order", "order", ")", "{", "if", "(", "useKeySelector", ")", "{", "throw", "new", "InvalidProgramException", "(", "\"Expression keys cannot be appended after a KeySelector\"", ")", ";", "}", "ensureSortableKey", "(", "field", ")", ";", "keys", ".", "add", "(", "new", "Keys", ".", "ExpressionKeys", "<>", "(", "field", ",", "getType", "(", ")", ")", ")", ";", "orders", ".", "add", "(", "order", ")", ";", "return", "this", ";", "}" ]	Appends an additional sort order with the specified field in the specified order to the local partition sorting of the DataSet. @param field The field index of the additional sort order of the local partition sorting. @param order The order of the additional sort order of the local partition sorting. @return The DataSet with sorted local partitions.	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looly/hutool	hutool-socket/src/main/java/cn/hutool/socket/nio/NioServer.java	NioServer.registerChannel	private void registerChannel(Selector selector, SelectableChannel channel, Operation ops) { if (channel == null) { return; } try { channel.configureBlocking(false); // 注册通道 channel.register(selector, ops.getValue()); } catch (IOException e) { throw new IORuntimeException(e); } }	java	private void registerChannel(Selector selector, SelectableChannel channel, Operation ops) { if (channel == null) { return; } try { channel.configureBlocking(false); // 注册通道 channel.register(selector, ops.getValue()); } catch (IOException e) { throw new IORuntimeException(e); } }	[ "private", "void", "registerChannel", "(", "Selector", "selector", ",", "SelectableChannel", "channel", ",", "Operation", "ops", ")", "{", "if", "(", "channel", "==", "null", ")", "{", "return", ";", "}", "try", "{", "channel", ".", "configureBlocking", "(", "false", ")", ";", "// 注册通道\r", "channel", ".", "register", "(", "selector", ",", "ops", ".", "getValue", "(", ")", ")", ";", "}", "catch", "(", "IOException", "e", ")", "{", "throw", "new", "IORuntimeException", "(", "e", ")", ";", "}", "}" ]	注册通道到指定Selector上 @param selector Selector @param channel 通道 @param ops 注册的通道监听类型	[ "注册通道到指定Selector上" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-socket/src/main/java/cn/hutool/socket/nio/NioServer.java#L161-L173	train	Register a SelectableChannel with the SelectableChannelService.	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apache/flink	flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java	Graph.fromDataSet	public static <K, VV, EV> Graph<K, VV, EV> fromDataSet(DataSet<Vertex<K, VV>> vertices, DataSet<Edge<K, EV>> edges, ExecutionEnvironment context) { return new Graph<>(vertices, edges, context); }	java	public static <K, VV, EV> Graph<K, VV, EV> fromDataSet(DataSet<Vertex<K, VV>> vertices, DataSet<Edge<K, EV>> edges, ExecutionEnvironment context) { return new Graph<>(vertices, edges, context); }	[ "public", "static", "<", "K", ",", "VV", ",", "EV", ">", "Graph", "<", "K", ",", "VV", ",", "EV", ">", "fromDataSet", "(", "DataSet", "<", "Vertex", "<", "K", ",", "VV", ">", ">", "vertices", ",", "DataSet", "<", "Edge", "<", "K", ",", "EV", ">", ">", "edges", ",", "ExecutionEnvironment", "context", ")", "{", "return", "new", "Graph", "<>", "(", "vertices", ",", "edges", ",", "context", ")", ";", "}" ]	Creates a graph from a DataSet of vertices and a DataSet of edges. @param vertices a DataSet of vertices. @param edges a DataSet of edges. @param context the flink execution environment. @return the newly created graph.	[ "Creates", "a", "graph", "from", "a", "DataSet", "of", "vertices", "and", "a", "DataSet", "of", "edges", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L161-L165	train	Creates a graph from a DataSet of Vertex objects and a DataSet of Edge objects.	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apache/flink	flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/datastream/PythonDataStream.java	PythonDataStream.union	@SafeVarargs @SuppressWarnings("unchecked") public final PythonDataStream union(PythonDataStream... streams) { ArrayList<DataStream<PyObject>> dsList = new ArrayList<>(); for (PythonDataStream ps : streams) { dsList.add(ps.stream); } DataStream<PyObject>[] dsArray = new DataStream[dsList.size()]; return new PythonDataStream(stream.union(dsList.toArray(dsArray))); }	java	@SafeVarargs @SuppressWarnings("unchecked") public final PythonDataStream union(PythonDataStream... streams) { ArrayList<DataStream<PyObject>> dsList = new ArrayList<>(); for (PythonDataStream ps : streams) { dsList.add(ps.stream); } DataStream<PyObject>[] dsArray = new DataStream[dsList.size()]; return new PythonDataStream(stream.union(dsList.toArray(dsArray))); }	[ "@", "SafeVarargs", "@", "SuppressWarnings", "(", "\"unchecked\"", ")", "public", "final", "PythonDataStream", "union", "(", "PythonDataStream", "...", "streams", ")", "{", "ArrayList", "<", "DataStream", "<", "PyObject", ">>", "dsList", "=", "new", "ArrayList", "<>", "(", ")", ";", "for", "(", "PythonDataStream", "ps", ":", "streams", ")", "{", "dsList", ".", "add", "(", "ps", ".", "stream", ")", ";", "}", "DataStream", "<", "PyObject", ">", "[", "]", "dsArray", "=", "new", "DataStream", "[", "dsList", ".", "size", "(", ")", "]", ";", "return", "new", "PythonDataStream", "(", "stream", ".", "union", "(", "dsList", ".", "toArray", "(", "dsArray", ")", ")", ")", ";", "}" ]	A thin wrapper layer over {@link DataStream#union(DataStream[])}. @param streams The Python DataStreams to union output with. @return The {@link PythonDataStream}.	[ "A", "thin", "wrapper", "layer", "over", "{", "@link", "DataStream#union", "(", "DataStream", "[]", ")", "}", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/datastream/PythonDataStream.java#L74-L83	train	Union the given data streams.	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looly/hutool	hutool-dfa/src/main/java/cn/hutool/dfa/WordTree.java	WordTree.addWord	public void addWord(String word) { WordTree parent = null; WordTree current = this; WordTree child; char currentChar = 0; int length = word.length(); for(int i = 0; i < length; i++){ currentChar = word.charAt(i); if(false == StopChar.isStopChar(currentChar)){//只处理合法字符 child = current.get(currentChar); if(child == null){ //无子类，新建一个子节点后存放下一个字符 child = new WordTree(); current.put(currentChar, child); } parent = current; current = child; } } if(null != parent){ parent.setEnd(currentChar); } }	java	public void addWord(String word) { WordTree parent = null; WordTree current = this; WordTree child; char currentChar = 0; int length = word.length(); for(int i = 0; i < length; i++){ currentChar = word.charAt(i); if(false == StopChar.isStopChar(currentChar)){//只处理合法字符 child = current.get(currentChar); if(child == null){ //无子类，新建一个子节点后存放下一个字符 child = new WordTree(); current.put(currentChar, child); } parent = current; current = child; } } if(null != parent){ parent.setEnd(currentChar); } }	[ "public", "void", "addWord", "(", "String", "word", ")", "{", "WordTree", "parent", "=", "null", ";", "WordTree", "current", "=", "this", ";", "WordTree", "child", ";", "char", "currentChar", "=", "0", ";", "int", "length", "=", "word", ".", "length", "(", ")", ";", "for", "(", "int", "i", "=", "0", ";", "i", "<", "length", ";", "i", "++", ")", "{", "currentChar", "=", "word", ".", "charAt", "(", "i", ")", ";", "if", "(", "false", "==", "StopChar", ".", "isStopChar", "(", "currentChar", ")", ")", "{", "//只处理合法字符", "child", "=", "current", ".", "get", "(", "currentChar", ")", ";", "if", "(", "child", "==", "null", ")", "{", "//无子类，新建一个子节点后存放下一个字符", "child", "=", "new", "WordTree", "(", ")", ";", "current", ".", "put", "(", "currentChar", ",", "child", ")", ";", "}", "parent", "=", "current", ";", "current", "=", "child", ";", "}", "}", "if", "(", "null", "!=", "parent", ")", "{", "parent", ".", "setEnd", "(", "currentChar", ")", ";", "}", "}" ]	添加单词，使用默认类型 @param word 单词	[ "添加单词，使用默认类型" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-dfa/src/main/java/cn/hutool/dfa/WordTree.java#L73-L95	train	Add a word to the tree.	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looly/hutool	hutool-dfa/src/main/java/cn/hutool/dfa/SensitiveUtil.java	SensitiveUtil.getFindedAllSensitive	public static List<String> getFindedAllSensitive(String text, boolean isDensityMatch, boolean isGreedMatch){ return sensitiveTree.matchAll(text, -1, isDensityMatch, isGreedMatch); }	java	public static List<String> getFindedAllSensitive(String text, boolean isDensityMatch, boolean isGreedMatch){ return sensitiveTree.matchAll(text, -1, isDensityMatch, isGreedMatch); }	[ "public", "static", "List", "<", "String", ">", "getFindedAllSensitive", "(", "String", "text", ",", "boolean", "isDensityMatch", ",", "boolean", "isGreedMatch", ")", "{", "return", "sensitiveTree", ".", "matchAll", "(", "text", ",", "-", "1", ",", "isDensityMatch", ",", "isGreedMatch", ")", ";", "}" ]	查找敏感词，返回找到的所有敏感词<br> 密集匹配原则：假如关键词有 ab,b，文本是abab，将匹配 [ab,b,ab]<br> 贪婪匹配（最长匹配）原则：假如关键字a,ab，最长匹配将匹配[a, ab] @param text 文本 @param isDensityMatch 是否使用密集匹配原则 @param isGreedMatch 是否使用贪婪匹配（最长匹配）原则 @return 敏感词	[ "查找敏感词，返回找到的所有敏感词<br", ">", "密集匹配原则：假如关键词有", "ab", "b，文本是abab，将匹配", "[", "ab", "b", "ab", "]", "<br", ">", "贪婪匹配（最长匹配）原则：假如关键字a", "ab，最长匹配将匹配", "[", "a", "ab", "]" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-dfa/src/main/java/cn/hutool/dfa/SensitiveUtil.java#L135-L137	train	Gets the matched words in the sensitive tree.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java	SqlConnRunner.findIn	public List<Entity> findIn(Connection conn, String tableName, String field, Object... values) throws SQLException{ return findAll(conn, Entity.create(tableName).set(field, values)); }	java	public List<Entity> findIn(Connection conn, String tableName, String field, Object... values) throws SQLException{ return findAll(conn, Entity.create(tableName).set(field, values)); }	[ "public", "List", "<", "Entity", ">", "findIn", "(", "Connection", "conn", ",", "String", "tableName", ",", "String", "field", ",", "Object", "...", "values", ")", "throws", "SQLException", "{", "return", "findAll", "(", "conn", ",", "Entity", ".", "create", "(", "tableName", ")", ".", "set", "(", "field", ",", "values", ")", ")", ";", "}" ]	根据某个字段名条件查询数据列表，返回所有字段 @param conn 数据库连接对象 @param tableName 表名 @param field 字段名 @param values 字段值列表 @return 数据对象列表 @throws SQLException SQL执行异常	[ "根据某个字段名条件查询数据列表，返回所有字段" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java#L428-L430	train	Find all entities in a table.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java	CollUtil.containsAny	public static boolean containsAny(Collection<?> coll1, Collection<?> coll2) { if (isEmpty(coll1) \|\| isEmpty(coll2)) { return false; } if (coll1.size() < coll2.size()) { for (Object object : coll1) { if (coll2.contains(object)) { return true; } } } else { for (Object object : coll2) { if (coll1.contains(object)) { return true; } } } return false; }	java	public static boolean containsAny(Collection<?> coll1, Collection<?> coll2) { if (isEmpty(coll1) \|\| isEmpty(coll2)) { return false; } if (coll1.size() < coll2.size()) { for (Object object : coll1) { if (coll2.contains(object)) { return true; } } } else { for (Object object : coll2) { if (coll1.contains(object)) { return true; } } } return false; }	[ "public", "static", "boolean", "containsAny", "(", "Collection", "<", "?", ">", "coll1", ",", "Collection", "<", "?", ">", "coll2", ")", "{", "if", "(", "isEmpty", "(", "coll1", ")", "\|\|", "isEmpty", "(", "coll2", ")", ")", "{", "return", "false", ";", "}", "if", "(", "coll1", ".", "size", "(", ")", "<", "coll2", ".", "size", "(", ")", ")", "{", "for", "(", "Object", "object", ":", "coll1", ")", "{", "if", "(", "coll2", ".", "contains", "(", "object", ")", ")", "{", "return", "true", ";", "}", "}", "}", "else", "{", "for", "(", "Object", "object", ":", "coll2", ")", "{", "if", "(", "coll1", ".", "contains", "(", "object", ")", ")", "{", "return", "true", ";", "}", "}", "}", "return", "false", ";", "}" ]	其中一个集合在另一个集合中是否至少包含一个元素，既是两个集合是否至少有一个共同的元素 @param coll1 集合1 @param coll2 集合2 @return 其中一个集合在另一个集合中是否至少包含一个元素 @since 2.1 @see #intersection	[ "其中一个集合在另一个集合中是否至少包含一个元素，既是两个集合是否至少有一个共同的元素" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L229-L247	train	Checks if any of the objects in the given collections is contained in any of the objects in the other collections.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/operators/DataSinkTask.java	DataSinkTask.getLogString	private String getLogString(String message) { return BatchTask.constructLogString(message, this.getEnvironment().getTaskInfo().getTaskName(), this); }	java	private String getLogString(String message) { return BatchTask.constructLogString(message, this.getEnvironment().getTaskInfo().getTaskName(), this); }	[ "private", "String", "getLogString", "(", "String", "message", ")", "{", "return", "BatchTask", ".", "constructLogString", "(", "message", ",", "this", ".", "getEnvironment", "(", ")", ".", "getTaskInfo", "(", ")", ".", "getTaskName", "(", ")", ",", "this", ")", ";", "}" ]	Utility function that composes a string for logging purposes. The string includes the given message and the index of the task in its task group together with the number of tasks in the task group. @param message The main message for the log. @return The string ready for logging.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobResult.java	JobResult.createFrom	public static JobResult createFrom(AccessExecutionGraph accessExecutionGraph) { final JobID jobId = accessExecutionGraph.getJobID(); final JobStatus jobStatus = accessExecutionGraph.getState(); checkArgument( jobStatus.isGloballyTerminalState(), "The job " + accessExecutionGraph.getJobName() + '(' + jobId + ") is not in a globally " + "terminal state. It is in state " + jobStatus + '.'); final JobResult.Builder builder = new JobResult.Builder(); builder.jobId(jobId); builder.applicationStatus(ApplicationStatus.fromJobStatus(accessExecutionGraph.getState())); final long netRuntime = accessExecutionGraph.getStatusTimestamp(jobStatus) - accessExecutionGraph.getStatusTimestamp(JobStatus.CREATED); // guard against clock changes final long guardedNetRuntime = Math.max(netRuntime, 0L); builder.netRuntime(guardedNetRuntime); builder.accumulatorResults(accessExecutionGraph.getAccumulatorsSerialized()); if (jobStatus != JobStatus.FINISHED) { final ErrorInfo errorInfo = accessExecutionGraph.getFailureInfo(); if (errorInfo != null) { builder.serializedThrowable(errorInfo.getException()); } } return builder.build(); }	java	public static JobResult createFrom(AccessExecutionGraph accessExecutionGraph) { final JobID jobId = accessExecutionGraph.getJobID(); final JobStatus jobStatus = accessExecutionGraph.getState(); checkArgument( jobStatus.isGloballyTerminalState(), "The job " + accessExecutionGraph.getJobName() + '(' + jobId + ") is not in a globally " + "terminal state. It is in state " + jobStatus + '.'); final JobResult.Builder builder = new JobResult.Builder(); builder.jobId(jobId); builder.applicationStatus(ApplicationStatus.fromJobStatus(accessExecutionGraph.getState())); final long netRuntime = accessExecutionGraph.getStatusTimestamp(jobStatus) - accessExecutionGraph.getStatusTimestamp(JobStatus.CREATED); // guard against clock changes final long guardedNetRuntime = Math.max(netRuntime, 0L); builder.netRuntime(guardedNetRuntime); builder.accumulatorResults(accessExecutionGraph.getAccumulatorsSerialized()); if (jobStatus != JobStatus.FINISHED) { final ErrorInfo errorInfo = accessExecutionGraph.getFailureInfo(); if (errorInfo != null) { builder.serializedThrowable(errorInfo.getException()); } } return builder.build(); }	[ "public", "static", "JobResult", "createFrom", "(", "AccessExecutionGraph", "accessExecutionGraph", ")", "{", "final", "JobID", "jobId", "=", "accessExecutionGraph", ".", "getJobID", "(", ")", ";", "final", "JobStatus", "jobStatus", "=", "accessExecutionGraph", ".", "getState", "(", ")", ";", "checkArgument", "(", "jobStatus", ".", "isGloballyTerminalState", "(", ")", ",", "\"The job \"", "+", "accessExecutionGraph", ".", "getJobName", "(", ")", "+", "'", "'", "+", "jobId", "+", "\") is not in a globally \"", "+", "\"terminal state. 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netty/netty	codec/src/main/java/io/netty/handler/codec/compression/Bzip2DivSufSort.java	Bzip2DivSufSort.trGetC	private int trGetC(final int isa, final int isaD, final int isaN, final int p) { return isaD + p < isaN ? SA[isaD + p] : SA[isa + ((isaD - isa + p) % (isaN - isa))]; }	java	private int trGetC(final int isa, final int isaD, final int isaN, final int p) { return isaD + p < isaN ? SA[isaD + p] : SA[isa + ((isaD - isa + p) % (isaN - isa))]; }	[ "private", "int", "trGetC", "(", "final", "int", "isa", ",", "final", "int", "isaD", ",", "final", "int", "isaN", ",", "final", "int", "p", ")", "{", "return", "isaD", "+", "p", "<", "isaN", "?", "SA", "[", "isaD", "+", "p", "]", ":", "SA", "[", "isa", "+", "(", "(", "isaD", "-", "isa", "+", "p", ")", "%", "(", "isaN", "-", "isa", ")", ")", "]", ";", "}" ]	/*----------------------------------------------------------------------------	[ "/", "*", "----------------------------------------------------------------------------" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/compression/Bzip2DivSufSort.java#L915-L919	train	Tr Get C.	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apache/spark	core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java	UnsafeExternalSorter.getSortedIterator	public UnsafeSorterIterator getSortedIterator() throws IOException { assert(recordComparatorSupplier != null); if (spillWriters.isEmpty()) { assert(inMemSorter != null); readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); return readingIterator; } else { final UnsafeSorterSpillMerger spillMerger = new UnsafeSorterSpillMerger( recordComparatorSupplier.get(), prefixComparator, spillWriters.size()); for (UnsafeSorterSpillWriter spillWriter : spillWriters) { spillMerger.addSpillIfNotEmpty(spillWriter.getReader(serializerManager)); } if (inMemSorter != null) { readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); spillMerger.addSpillIfNotEmpty(readingIterator); } return spillMerger.getSortedIterator(); } }	java	public UnsafeSorterIterator getSortedIterator() throws IOException { assert(recordComparatorSupplier != null); if (spillWriters.isEmpty()) { assert(inMemSorter != null); readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); return readingIterator; } else { final UnsafeSorterSpillMerger spillMerger = new UnsafeSorterSpillMerger( recordComparatorSupplier.get(), prefixComparator, spillWriters.size()); for (UnsafeSorterSpillWriter spillWriter : spillWriters) { spillMerger.addSpillIfNotEmpty(spillWriter.getReader(serializerManager)); } if (inMemSorter != null) { readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); spillMerger.addSpillIfNotEmpty(readingIterator); } return spillMerger.getSortedIterator(); } }	[ "public", "UnsafeSorterIterator", "getSortedIterator", "(", ")", "throws", "IOException", "{", "assert", "(", "recordComparatorSupplier", "!=", "null", ")", ";", "if", "(", "spillWriters", ".", "isEmpty", "(", ")", ")", "{", "assert", "(", "inMemSorter", "!=", "null", ")", ";", "readingIterator", "=", "new", "SpillableIterator", "(", "inMemSorter", ".", "getSortedIterator", "(", ")", ")", ";", "return", "readingIterator", ";", "}", "else", "{", "final", "UnsafeSorterSpillMerger", "spillMerger", "=", "new", "UnsafeSorterSpillMerger", "(", "recordComparatorSupplier", ".", "get", "(", ")", ",", "prefixComparator", ",", "spillWriters", ".", "size", "(", ")", ")", ";", "for", "(", "UnsafeSorterSpillWriter", "spillWriter", ":", "spillWriters", ")", "{", "spillMerger", ".", "addSpillIfNotEmpty", "(", "spillWriter", ".", "getReader", "(", "serializerManager", ")", ")", ";", "}", "if", "(", "inMemSorter", "!=", "null", ")", "{", "readingIterator", "=", "new", "SpillableIterator", "(", "inMemSorter", ".", "getSortedIterator", "(", ")", ")", ";", "spillMerger", ".", "addSpillIfNotEmpty", "(", "readingIterator", ")", ";", "}", "return", "spillMerger", ".", "getSortedIterator", "(", ")", ";", "}", "}" ]	Returns a sorted iterator. It is the caller's responsibility to call `cleanupResources()` after consuming this iterator.	[ "Returns", "a", "sorted", "iterator", ".", "It", "is", "the", "caller", "s", "responsibility", "to", "call", "cleanupResources", "()", "after", "consuming", "this", "iterator", "." ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java#L465-L483	train	Get a sorted iterator for this reader.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java	TfIdf.tfs	public static <TERM> Iterable<Map<TERM, Double>> tfs(Iterable<Collection<TERM>> documents) { return tfs(documents, TfType.NATURAL); }	java	public static <TERM> Iterable<Map<TERM, Double>> tfs(Iterable<Collection<TERM>> documents) { return tfs(documents, TfType.NATURAL); }	[ "public", "static", "<", "TERM", ">", "Iterable", "<", "Map", "<", "TERM", ",", "Double", ">", ">", "tfs", "(", "Iterable", "<", "Collection", "<", "TERM", ">", ">", "documents", ")", "{", "return", "tfs", "(", "documents", ",", "TfType", ".", "NATURAL", ")", ";", "}" ]	多文档词频 @param documents 多个文档，每个文档都是一个词袋 @param <TERM> 词语类型 @return 一个包含词频的Map的列表	[ "多文档词频" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java#L118-L121	train	Returns an iterable of map of term to distance from the document to the document.	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apache/spark	common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java	UTF8String.fromAddress	public static UTF8String fromAddress(Object base, long offset, int numBytes) { return new UTF8String(base, offset, numBytes); }	java	public static UTF8String fromAddress(Object base, long offset, int numBytes) { return new UTF8String(base, offset, numBytes); }	[ "public", "static", "UTF8String", "fromAddress", "(", "Object", "base", ",", "long", "offset", ",", "int", "numBytes", ")", "{", "return", "new", "UTF8String", "(", "base", ",", "offset", ",", "numBytes", ")", ";", "}" ]	Creates an UTF8String from given address (base and offset) and length.	[ "Creates", "an", "UTF8String", "from", "given", "address", "(", "base", "and", "offset", ")", "and", "length", "." ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L134-L136	train	Creates a UTF8String from a byte array of bytes starting at the given offset.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/query/KvStateRegistry.java	KvStateRegistry.unregisterKvState	public void unregisterKvState( JobID jobId, JobVertexID jobVertexId, KeyGroupRange keyGroupRange, String registrationName, KvStateID kvStateId) { KvStateEntry<?, ?, ?> entry = registeredKvStates.remove(kvStateId); if (entry != null) { entry.clear(); final KvStateRegistryListener listener = getKvStateRegistryListener(jobId); if (listener != null) { listener.notifyKvStateUnregistered( jobId, jobVertexId, keyGroupRange, registrationName); } } }	java	public void unregisterKvState( JobID jobId, JobVertexID jobVertexId, KeyGroupRange keyGroupRange, String registrationName, KvStateID kvStateId) { KvStateEntry<?, ?, ?> entry = registeredKvStates.remove(kvStateId); if (entry != null) { entry.clear(); final KvStateRegistryListener listener = getKvStateRegistryListener(jobId); if (listener != null) { listener.notifyKvStateUnregistered( jobId, jobVertexId, keyGroupRange, registrationName); } } }	[ "public", "void", "unregisterKvState", "(", "JobID", "jobId", ",", "JobVertexID", "jobVertexId", ",", "KeyGroupRange", "keyGroupRange", ",", "String", "registrationName", ",", "KvStateID", "kvStateId", ")", "{", "KvStateEntry", "<", "?", ",", "?", ",", "?", ">", "entry", "=", "registeredKvStates", ".", "remove", "(", "kvStateId", ")", ";", "if", "(", "entry", "!=", "null", ")", "{", "entry", ".", "clear", "(", ")", ";", "final", "KvStateRegistryListener", "listener", "=", "getKvStateRegistryListener", "(", "jobId", ")", ";", "if", "(", "listener", "!=", "null", ")", "{", "listener", ".", "notifyKvStateUnregistered", "(", "jobId", ",", "jobVertexId", ",", "keyGroupRange", ",", "registrationName", ")", ";", "}", "}", "}" ]	Unregisters the KvState instance identified by the given KvStateID. @param jobId JobId the KvState instance belongs to @param kvStateId KvStateID to identify the KvState instance @param keyGroupRange Key group range the KvState instance belongs to	[ "Unregisters", "the", "KvState", "instance", "identified", "by", "the", "given", "KvStateID", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/query/KvStateRegistry.java#L118-L138	train	Unregister a KvState.	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looly/hutool

hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java

BeanUtil.hasNull

public static boolean hasNull(Object bean) { final Field[] fields = ClassUtil.getDeclaredFields(bean.getClass()); Object fieldValue = null; for (Field field : fields) { field.setAccessible(true); try { fieldValue = field.get(bean); } catch (Exception e) { //ignore } if (null == fieldValue) { return true; } } return false; }

java

public static boolean hasNull(Object bean) { final Field[] fields = ClassUtil.getDeclaredFields(bean.getClass()); Object fieldValue = null; for (Field field : fields) { field.setAccessible(true); try { fieldValue = field.get(bean); } catch (Exception e) { //ignore } if (null == fieldValue) { return true; } } return false; }

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判断Bean中是否有值为null的字段 @param bean Bean @return 是否有值为null的字段

[ "判断Bean中是否有值为null的字段" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java#L126-L142

train

Returns true if the specified object has null fields.

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apache/flink

flink-java/src/main/java/org/apache/flink/api/java/DataSet.java

DataSet.crossWithHuge

public <R> CrossOperator.DefaultCross<T, R> crossWithHuge(DataSet<R> other) { return new CrossOperator.DefaultCross<>(this, other, CrossHint.FIRST_IS_SMALL, Utils.getCallLocationName()); }

java

public <R> CrossOperator.DefaultCross<T, R> crossWithHuge(DataSet<R> other) { return new CrossOperator.DefaultCross<>(this, other, CrossHint.FIRST_IS_SMALL, Utils.getCallLocationName()); }

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Initiates a Cross transformation. A Cross transformation combines the elements of two {@link DataSet DataSets} into one DataSet. It builds all pair combinations of elements of both DataSets, i.e., it builds a Cartesian product. This method also gives the hint to the optimizer that the second DataSet to cross is much larger than the first one. The resulting {@link org.apache.flink.api.java.operators.CrossOperator.DefaultCross} wraps each pair of crossed elements into a {@link Tuple2}, with the element of the first input being the first field of the tuple and the element of the second input being the second field of the tuple. Call {@link org.apache.flink.api.java.operators.CrossOperator.DefaultCross#with(org.apache.flink.api.common.functions.CrossFunction)} to define a {@link org.apache.flink.api.common.functions.CrossFunction} which is called for each pair of crossed elements. The CrossFunction returns a exactly one element for each pair of input elements. @param other The other DataSet with which this DataSet is crossed. @return A DefaultCross that returns a Tuple2 for each pair of crossed elements. @see org.apache.flink.api.java.operators.CrossOperator.DefaultCross @see org.apache.flink.api.common.functions.CrossFunction @see DataSet @see Tuple2

[ "Initiates", "a", "Cross", "transformation", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1118-L1120

train

Cross with huge data set.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/dictionary/TransformMatrixDictionary.java

TransformMatrixDictionary.getFrequency

public int getFrequency(String from, String to) { return getFrequency(convert(from), convert(to)); }

java

public int getFrequency(String from, String to) { return getFrequency(convert(from), convert(to)); }

[ "public", "int", "getFrequency", "(", "String", "from", ",", "String", "to", ")", "{", "return", "getFrequency", "(", "convert", "(", "from", ")", ",", "convert", "(", "to", ")", ")", ";", "}" ]

获取转移频次 @param from @param to @return

[ "获取转移频次" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/TransformMatrixDictionary.java#L43-L46

train

Gets the frequency of a sequence from a sequence of tokens to a sequence of tokens.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/BufferFileChannelReader.java

BufferFileChannelReader.readBufferFromFileChannel

public boolean readBufferFromFileChannel(Buffer buffer) throws IOException { checkArgument(fileChannel.size() - fileChannel.position() > 0); // Read header header.clear(); fileChannel.read(header); header.flip(); final boolean isBuffer = header.getInt() == 1; final int size = header.getInt(); if (size > buffer.getMaxCapacity()) { throw new IllegalStateException("Buffer is too small for data: " + buffer.getMaxCapacity() + " bytes available, but " + size + " needed. This is most likely due to an serialized event, which is larger than the buffer size."); } checkArgument(buffer.getSize() == 0, "Buffer not empty"); fileChannel.read(buffer.getNioBuffer(0, size)); buffer.setSize(size); if (!isBuffer) { buffer.tagAsEvent(); } return fileChannel.size() - fileChannel.position() == 0; }

java

public boolean readBufferFromFileChannel(Buffer buffer) throws IOException { checkArgument(fileChannel.size() - fileChannel.position() > 0); // Read header header.clear(); fileChannel.read(header); header.flip(); final boolean isBuffer = header.getInt() == 1; final int size = header.getInt(); if (size > buffer.getMaxCapacity()) { throw new IllegalStateException("Buffer is too small for data: " + buffer.getMaxCapacity() + " bytes available, but " + size + " needed. This is most likely due to an serialized event, which is larger than the buffer size."); } checkArgument(buffer.getSize() == 0, "Buffer not empty"); fileChannel.read(buffer.getNioBuffer(0, size)); buffer.setSize(size); if (!isBuffer) { buffer.tagAsEvent(); } return fileChannel.size() - fileChannel.position() == 0; }

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Reads data from the object's file channel into the given buffer. @param buffer the buffer to read into @return whether the end of the file has been reached (<tt>true</tt>) or not (<tt>false</tt>)

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/BufferFileChannelReader.java#L47-L71

train

Read data from the file channel into the given buffer.

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looly/hutool

hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelBase.java

ExcelBase.close

@Override public void close() { IoUtil.close(this.workbook); this.sheet = null; this.workbook = null; this.isClosed = true; }

java

@Override public void close() { IoUtil.close(this.workbook); this.sheet = null; this.workbook = null; this.isClosed = true; }

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关闭工作簿 如果用户设定了目标文件，先写出目标文件后给关闭工作簿

[ "关闭工作簿<br", ">", "如果用户设定了目标文件，先写出目标文件后给关闭工作簿" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelBase.java#L302-L308

train

Closes the related resources.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java

ReflectUtil.hasField

public static boolean hasField(Class<?> beanClass, String name) throws SecurityException { return null != getField(beanClass, name); }

java

public static boolean hasField(Class<?> beanClass, String name) throws SecurityException { return null != getField(beanClass, name); }

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查找指定类中是否包含指定名称对应的字段，包括所有字段（包括非public字段），也包括父类和Object类的字段 @param beanClass 被查找字段的类,不能为null @param name 字段名 @return 是否包含字段 @throws SecurityException 安全异常 @since 4.1.21

[ "查找指定类中是否包含指定名称对应的字段，包括所有字段（包括非public字段），也包括父类和Object类的字段" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L103-L105

train

Checks if the specified field is present in the specified class.

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netty/netty

transport/src/main/java/io/netty/channel/embedded/EmbeddedChannel.java

EmbeddedChannel.runPendingTasks

public void runPendingTasks() { try { loop.runTasks(); } catch (Exception e) { recordException(e); } try { loop.runScheduledTasks(); } catch (Exception e) { recordException(e); } }

java

public void runPendingTasks() { try { loop.runTasks(); } catch (Exception e) { recordException(e); } try { loop.runScheduledTasks(); } catch (Exception e) { recordException(e); } }

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Run all tasks (which also includes scheduled tasks) that are pending in the {@link EventLoop} for this {@link Channel}

[ "Run", "all", "tasks", "(", "which", "also", "includes", "scheduled", "tasks", ")", "that", "are", "pending", "in", "the", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/embedded/EmbeddedChannel.java#L576-L588

train

Run pending tasks.

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apache/flink

flink-java/src/main/java/org/apache/flink/api/java/operators/TwoInputUdfOperator.java

TwoInputUdfOperator.withParameters

@Override public O withParameters(Configuration parameters) { this.parameters = parameters; @SuppressWarnings("unchecked") O returnType = (O) this; return returnType; }

java

@Override public O withParameters(Configuration parameters) { this.parameters = parameters; @SuppressWarnings("unchecked") O returnType = (O) this; return returnType; }

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--------------------------------------------------------------------------------------------

[ "--------------------------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/TwoInputUdfOperator.java#L87-L94

train

Sets the parameters for the exception.

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apache/flink

flink-connectors/flink-hcatalog/src/main/java/org/apache/flink/hcatalog/HCatInputFormatBase.java

HCatInputFormatBase.writeObject

private void writeObject(ObjectOutputStream out) throws IOException { out.writeInt(this.fieldNames.length); for (String fieldName : this.fieldNames) { out.writeUTF(fieldName); } this.configuration.write(out); }

java

private void writeObject(ObjectOutputStream out) throws IOException { out.writeInt(this.fieldNames.length); for (String fieldName : this.fieldNames) { out.writeUTF(fieldName); } this.configuration.write(out); }

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--------------------------------------------------------------------------------------------

[ "--------------------------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-hcatalog/src/main/java/org/apache/flink/hcatalog/HCatInputFormatBase.java#L368-L374

train

Writes the object to the stream.

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netty/netty

codec-http/src/main/java/io/netty/handler/codec/spdy/SpdyCodecUtil.java

SpdyCodecUtil.validateHeaderName

static void validateHeaderName(CharSequence name) { if (name == null) { throw new NullPointerException("name"); } if (name.length() == 0) { throw new IllegalArgumentException( "name cannot be length zero"); } // Since name may only contain ascii characters, for valid names // name.length() returns the number of bytes when UTF-8 encoded. if (name.length() > SPDY_MAX_NV_LENGTH) { throw new IllegalArgumentException( "name exceeds allowable length: " + name); } for (int i = 0; i < name.length(); i ++) { char c = name.charAt(i); if (c == 0) { throw new IllegalArgumentException( "name contains null character: " + name); } if (c >= 'A' && c <= 'Z') { throw new IllegalArgumentException("name must be all lower case."); } if (c > 127) { throw new IllegalArgumentException( "name contains non-ascii character: " + name); } } }

java

static void validateHeaderName(CharSequence name) { if (name == null) { throw new NullPointerException("name"); } if (name.length() == 0) { throw new IllegalArgumentException( "name cannot be length zero"); } // Since name may only contain ascii characters, for valid names // name.length() returns the number of bytes when UTF-8 encoded. if (name.length() > SPDY_MAX_NV_LENGTH) { throw new IllegalArgumentException( "name exceeds allowable length: " + name); } for (int i = 0; i < name.length(); i ++) { char c = name.charAt(i); if (c == 0) { throw new IllegalArgumentException( "name contains null character: " + name); } if (c >= 'A' && c <= 'Z') { throw new IllegalArgumentException("name must be all lower case."); } if (c > 127) { throw new IllegalArgumentException( "name contains non-ascii character: " + name); } } }

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Validate a SPDY header name.

[ "Validate", "a", "SPDY", "header", "name", "." ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/spdy/SpdyCodecUtil.java#L288-L316

train

Validate the name of a header.

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networknt/light-4j

client/src/main/java/org/apache/hc/core5/util/copied/ByteArrayBuffer.java

ByteArrayBuffer.setLength

public void setLength(final int len) { if (len < 0 || len > this.array.length) { throw new IndexOutOfBoundsException("len: "+len+" < 0 or > buffer len: "+this.array.length); } this.len = len; }

java

public void setLength(final int len) { if (len < 0 || len > this.array.length) { throw new IndexOutOfBoundsException("len: "+len+" < 0 or > buffer len: "+this.array.length); } this.len = len; }

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Sets the length of the buffer. The new length value is expected to be less than the current capacity and greater than or equal to {@code 0}. @param len the new length @throws IndexOutOfBoundsException if the {@code len} argument is greater than the current capacity of the buffer or less than {@code 0}.

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2a60257c60663684c8f6dc8b5ea3cf184e534db6

https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/client/src/main/java/org/apache/hc/core5/util/copied/ByteArrayBuffer.java#L259-L264

train

Sets the length of the buffer.

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netty/netty

buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java

CompositeByteBuf.discardReadComponents

public CompositeByteBuf discardReadComponents() { ensureAccessible(); final int readerIndex = readerIndex(); if (readerIndex == 0) { return this; } // Discard everything if (readerIndex = writerIndex = capacity). int writerIndex = writerIndex(); if (readerIndex == writerIndex && writerIndex == capacity()) { for (int i = 0, size = componentCount; i < size; i++) { components[i].free(); } lastAccessed = null; clearComps(); setIndex(0, 0); adjustMarkers(readerIndex); return this; } // Remove read components. int firstComponentId = 0; Component c = null; for (int size = componentCount; firstComponentId < size; firstComponentId++) { c = components[firstComponentId]; if (c.endOffset > readerIndex) { break; } c.free(); } if (firstComponentId == 0) { return this; // Nothing to discard } Component la = lastAccessed; if (la != null && la.endOffset <= readerIndex) { lastAccessed = null; } removeCompRange(0, firstComponentId); // Update indexes and markers. int offset = c.offset; updateComponentOffsets(0); setIndex(readerIndex - offset, writerIndex - offset); adjustMarkers(offset); return this; }

java

public CompositeByteBuf discardReadComponents() { ensureAccessible(); final int readerIndex = readerIndex(); if (readerIndex == 0) { return this; } // Discard everything if (readerIndex = writerIndex = capacity). int writerIndex = writerIndex(); if (readerIndex == writerIndex && writerIndex == capacity()) { for (int i = 0, size = componentCount; i < size; i++) { components[i].free(); } lastAccessed = null; clearComps(); setIndex(0, 0); adjustMarkers(readerIndex); return this; } // Remove read components. int firstComponentId = 0; Component c = null; for (int size = componentCount; firstComponentId < size; firstComponentId++) { c = components[firstComponentId]; if (c.endOffset > readerIndex) { break; } c.free(); } if (firstComponentId == 0) { return this; // Nothing to discard } Component la = lastAccessed; if (la != null && la.endOffset <= readerIndex) { lastAccessed = null; } removeCompRange(0, firstComponentId); // Update indexes and markers. int offset = c.offset; updateComponentOffsets(0); setIndex(readerIndex - offset, writerIndex - offset); adjustMarkers(offset); return this; }

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Discard all {@link ByteBuf}s which are read.

[ "Discard", "all", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java#L1733-L1778

train

Discards all read components from this CompositeByteBuf.

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looly/hutool

hutool-json/src/main/java/cn/hutool/json/JSONArray.java

JSONArray.join

public String join(String separator) throws JSONException { int len = this.rawList.size(); StringBuilder sb = new StringBuilder(); for (int i = 0; i < len; i += 1) { if (i > 0) { sb.append(separator); } sb.append(InternalJSONUtil.valueToString(this.rawList.get(i))); } return sb.toString(); }

java

public String join(String separator) throws JSONException { int len = this.rawList.size(); StringBuilder sb = new StringBuilder(); for (int i = 0; i < len; i += 1) { if (i > 0) { sb.append(separator); } sb.append(InternalJSONUtil.valueToString(this.rawList.get(i))); } return sb.toString(); }

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JSONArray转为以<code>separator</code>为分界符的字符串 @param separator 分界符 @return a string. @throws JSONException If the array contains an invalid number.

[ "JSONArray转为以<code", ">", "separator<", "/", "code", ">", "为分界符的字符串" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONArray.java#L178-L189

train

Returns a string containing the contents of this list joined with the given separator.

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apache/flink

flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/state/serialization/KvStateSerializer.java

KvStateSerializer.deserializeKeyAndNamespace

public static <K, N> Tuple2<K, N> deserializeKeyAndNamespace( byte[] serializedKeyAndNamespace, TypeSerializer<K> keySerializer, TypeSerializer<N> namespaceSerializer) throws IOException { DataInputDeserializer dis = new DataInputDeserializer( serializedKeyAndNamespace, 0, serializedKeyAndNamespace.length); try { K key = keySerializer.deserialize(dis); byte magicNumber = dis.readByte(); if (magicNumber != MAGIC_NUMBER) { throw new IOException("Unexpected magic number " + magicNumber + "."); } N namespace = namespaceSerializer.deserialize(dis); if (dis.available() > 0) { throw new IOException("Unconsumed bytes in the serialized key and namespace."); } return new Tuple2<>(key, namespace); } catch (IOException e) { throw new IOException("Unable to deserialize key " + "and namespace. This indicates a mismatch in the key/namespace " + "serializers used by the KvState instance and this access.", e); } }

java

public static <K, N> Tuple2<K, N> deserializeKeyAndNamespace( byte[] serializedKeyAndNamespace, TypeSerializer<K> keySerializer, TypeSerializer<N> namespaceSerializer) throws IOException { DataInputDeserializer dis = new DataInputDeserializer( serializedKeyAndNamespace, 0, serializedKeyAndNamespace.length); try { K key = keySerializer.deserialize(dis); byte magicNumber = dis.readByte(); if (magicNumber != MAGIC_NUMBER) { throw new IOException("Unexpected magic number " + magicNumber + "."); } N namespace = namespaceSerializer.deserialize(dis); if (dis.available() > 0) { throw new IOException("Unconsumed bytes in the serialized key and namespace."); } return new Tuple2<>(key, namespace); } catch (IOException e) { throw new IOException("Unable to deserialize key " + "and namespace. This indicates a mismatch in the key/namespace " + "serializers used by the KvState instance and this access.", e); } }

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Deserializes the key and namespace into a {@link Tuple2}. @param serializedKeyAndNamespace Serialized key and namespace @param keySerializer Serializer for the key @param namespaceSerializer Serializer for the namespace @param <K> Key type @param <N> Namespace @return Tuple2 holding deserialized key and namespace @throws IOException if the deserialization fails for any reason

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/state/serialization/KvStateSerializer.java#L85-L113

train

Deserializes the given serialized key and namespace.

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looly/hutool

hutool-bloomFilter/src/main/java/cn/hutool/bloomfilter/BitMapBloomFilter.java

BitMapBloomFilter.add

@Override public boolean add(String str) { boolean flag = true; for (BloomFilter filter : filters) { flag |= filter.add(str); } return flag; }

java

@Override public boolean add(String str) { boolean flag = true; for (BloomFilter filter : filters) { flag |= filter.add(str); } return flag; }

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增加字符串到Filter映射中 @param str 字符串

[ "增加字符串到Filter映射中" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-bloomFilter/src/main/java/cn/hutool/bloomfilter/BitMapBloomFilter.java#L54-L61

train

Add a string to the list of filters.

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apache/flink

flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/FromElementsFunction.java

FromElementsFunction.snapshotState

@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); this.checkpointedState.clear(); this.checkpointedState.add(this.numElementsEmitted); }

java

@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); this.checkpointedState.clear(); this.checkpointedState.add(this.numElementsEmitted); }

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------------------------------------------------------------------------

[ "------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/FromElementsFunction.java#L198-L205

train

This method is called to snapshot the state of the sequence.

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looly/hutool

hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java

SecureUtil.createMessageDigest

public static MessageDigest createMessageDigest(String algorithm) { final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider(); MessageDigest messageDigest; try { messageDigest = (null == provider) ? MessageDigest.getInstance(algorithm) : MessageDigest.getInstance(algorithm, provider); } catch (NoSuchAlgorithmException e) { throw new CryptoException(e); } return messageDigest; }

java

public static MessageDigest createMessageDigest(String algorithm) { final Provider provider = GlobalBouncyCastleProvider.INSTANCE.getProvider(); MessageDigest messageDigest; try { messageDigest = (null == provider) ? MessageDigest.getInstance(algorithm) : MessageDigest.getInstance(algorithm, provider); } catch (NoSuchAlgorithmException e) { throw new CryptoException(e); } return messageDigest; }

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创建{@link MessageDigest} @param algorithm 算法 @since 4.5.2

[ "创建", "{", "@link", "MessageDigest", "}" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L995-L1006

train

Creates a MessageDigest object based on the algorithm name.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java

FileUtil.readUtf8Lines

public static <T extends Collection<String>> T readUtf8Lines(String path, T collection) throws IORuntimeException { return readLines(path, CharsetUtil.CHARSET_UTF_8, collection); }

java

public static <T extends Collection<String>> T readUtf8Lines(String path, T collection) throws IORuntimeException { return readLines(path, CharsetUtil.CHARSET_UTF_8, collection); }

[ "public", "static", "<", "T", "extends", "Collection", "<", "String", ">", ">", "T", "readUtf8Lines", "(", "String", "path", ",", "T", "collection", ")", "throws", "IORuntimeException", "{", "return", "readLines", "(", "path", ",", "CharsetUtil", ".", "CHARSET_UTF_8", ",", "collection", ")", ";", "}" ]

从文件中读取每一行的UTF-8编码数据 @param <T> 集合类型 @param path 文件路径 @param collection 集合 @return 文件中的每行内容的集合 @throws IORuntimeException IO异常 @since 3.1.1

[ "从文件中读取每一行的UTF", "-", "8编码数据" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L2164-L2166

train

Reads a collection of UTF - 8 lines from a file.

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looly/hutool

hutool-json/src/main/java/cn/hutool/json/JSONTokener.java

JSONTokener.next

public String next(int n) throws JSONException { if (n == 0) { return ""; } char[] chars = new char[n]; int pos = 0; while (pos < n) { chars[pos] = this.next(); if (this.end()) { throw this.syntaxError("Substring bounds error"); } pos += 1; } return new String(chars); }

java

public String next(int n) throws JSONException { if (n == 0) { return ""; } char[] chars = new char[n]; int pos = 0; while (pos < n) { chars[pos] = this.next(); if (this.end()) { throw this.syntaxError("Substring bounds error"); } pos += 1; } return new String(chars); }

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获得接下来的n个字符 @param n 字符数 @return 获得的n个字符组成的字符串 @throws JSONException 如果源中余下的字符数不足以提供所需的字符数，抛出此异常

[ "获得接下来的n个字符" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONTokener.java#L159-L174

train

Returns the next n characters.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/MutableHashTable.java

MutableHashTable.buildInitialTable

protected void buildInitialTable(final MutableObjectIterator<BT> input) throws IOException { // create the partitions final int partitionFanOut = getPartitioningFanOutNoEstimates(this.availableMemory.size()); if (partitionFanOut > MAX_NUM_PARTITIONS) { throw new RuntimeException("Hash join partitions estimate exeeds maximum number of partitions."); } createPartitions(partitionFanOut, 0); // set up the table structure. the write behind buffers are taken away, as are one buffer per partition final int numBuckets = getInitialTableSize(this.availableMemory.size(), this.segmentSize, partitionFanOut, this.avgRecordLen); initTable(numBuckets, (byte) partitionFanOut); final TypeComparator<BT> buildTypeComparator = this.buildSideComparator; BT record = this.buildSideSerializer.createInstance(); // go over the complete input and insert every element into the hash table while (this.running && ((record = input.next(record)) != null)) { final int hashCode = hash(buildTypeComparator.hash(record), 0); insertIntoTable(record, hashCode); } if (!this.running) { return; } // finalize the partitions for (int i = 0; i < this.partitionsBeingBuilt.size(); i++) { HashPartition<BT, PT> p = this.partitionsBeingBuilt.get(i); p.finalizeBuildPhase(this.ioManager, this.currentEnumerator, this.writeBehindBuffers); } }

java

protected void buildInitialTable(final MutableObjectIterator<BT> input) throws IOException { // create the partitions final int partitionFanOut = getPartitioningFanOutNoEstimates(this.availableMemory.size()); if (partitionFanOut > MAX_NUM_PARTITIONS) { throw new RuntimeException("Hash join partitions estimate exeeds maximum number of partitions."); } createPartitions(partitionFanOut, 0); // set up the table structure. the write behind buffers are taken away, as are one buffer per partition final int numBuckets = getInitialTableSize(this.availableMemory.size(), this.segmentSize, partitionFanOut, this.avgRecordLen); initTable(numBuckets, (byte) partitionFanOut); final TypeComparator<BT> buildTypeComparator = this.buildSideComparator; BT record = this.buildSideSerializer.createInstance(); // go over the complete input and insert every element into the hash table while (this.running && ((record = input.next(record)) != null)) { final int hashCode = hash(buildTypeComparator.hash(record), 0); insertIntoTable(record, hashCode); } if (!this.running) { return; } // finalize the partitions for (int i = 0; i < this.partitionsBeingBuilt.size(); i++) { HashPartition<BT, PT> p = this.partitionsBeingBuilt.get(i); p.finalizeBuildPhase(this.ioManager, this.currentEnumerator, this.writeBehindBuffers); } }

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Creates the initial hash table. This method sets up partitions, hash index, and inserts the data from the given iterator. @param input The iterator with the build side data. @throws IOException Thrown, if an element could not be fetched and deserialized from the iterator, or if serialization fails.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/MutableHashTable.java#L785-L816

train

Build the initial table.

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netty/netty

buffer/src/main/java/io/netty/buffer/ByteBufUtil.java

ByteBufUtil.writeMediumBE

@SuppressWarnings("deprecation") public static ByteBuf writeMediumBE(ByteBuf buf, int mediumValue) { return buf.order() == ByteOrder.BIG_ENDIAN? buf.writeMedium(mediumValue) : buf.writeMediumLE(mediumValue); }

java

@SuppressWarnings("deprecation") public static ByteBuf writeMediumBE(ByteBuf buf, int mediumValue) { return buf.order() == ByteOrder.BIG_ENDIAN? buf.writeMedium(mediumValue) : buf.writeMediumLE(mediumValue); }

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Writes a big-endian 24-bit medium integer to the buffer.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/ByteBufUtil.java#L434-L437

train

Write medium value to buffer in big - endian order.

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apache/flink

flink-connectors/flink-connector-kafka/src/main/java/org/apache/flink/streaming/connectors/kafka/internal/KafkaConsumerThread.java

KafkaConsumerThread.run

@Override public void run() { // early exit check if (!running) { return; } // this is the means to talk to FlinkKafkaConsumer's main thread final Handover handover = this.handover; // This method initializes the KafkaConsumer and guarantees it is torn down properly. // This is important, because the consumer has multi-threading issues, // including concurrent 'close()' calls. try { this.consumer = getConsumer(kafkaProperties); } catch (Throwable t) { handover.reportError(t); return; } // from here on, the consumer is guaranteed to be closed properly try { // register Kafka's very own metrics in Flink's metric reporters if (useMetrics) { // register Kafka metrics to Flink Map<MetricName, ? extends Metric> metrics = consumer.metrics(); if (metrics == null) { // MapR's Kafka implementation returns null here. log.info("Consumer implementation does not support metrics"); } else { // we have Kafka metrics, register them for (Map.Entry<MetricName, ? extends Metric> metric: metrics.entrySet()) { consumerMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); // TODO this metric is kept for compatibility purposes; should remove in the future subtaskMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); } } } // early exit check if (!running) { return; } // the latest bulk of records. May carry across the loop if the thread is woken up // from blocking on the handover ConsumerRecords<byte[], byte[]> records = null; // reused variable to hold found unassigned new partitions. // found partitions are not carried across loops using this variable; // they are carried across via re-adding them to the unassigned partitions queue List<KafkaTopicPartitionState<TopicPartition>> newPartitions; // main fetch loop while (running) { // check if there is something to commit if (!commitInProgress) { // get and reset the work-to-be committed, so we don't repeatedly commit the same final Tuple2<Map<TopicPartition, OffsetAndMetadata>, KafkaCommitCallback> commitOffsetsAndCallback = nextOffsetsToCommit.getAndSet(null); if (commitOffsetsAndCallback != null) { log.debug("Sending async offset commit request to Kafka broker"); // also record that a commit is already in progress // the order here matters! first set the flag, then send the commit command. commitInProgress = true; consumer.commitAsync(commitOffsetsAndCallback.f0, new CommitCallback(commitOffsetsAndCallback.f1)); } } try { if (hasAssignedPartitions) { newPartitions = unassignedPartitionsQueue.pollBatch(); } else { // if no assigned partitions block until we get at least one // instead of hot spinning this loop. We rely on a fact that // unassignedPartitionsQueue will be closed on a shutdown, so // we don't block indefinitely newPartitions = unassignedPartitionsQueue.getBatchBlocking(); } if (newPartitions != null) { reassignPartitions(newPartitions); } } catch (AbortedReassignmentException e) { continue; } if (!hasAssignedPartitions) { // Without assigned partitions KafkaConsumer.poll will throw an exception continue; } // get the next batch of records, unless we did not manage to hand the old batch over if (records == null) { try { records = consumer.poll(pollTimeout); } catch (WakeupException we) { continue; } } try { handover.produce(records); records = null; } catch (Handover.WakeupException e) { // fall through the loop } } // end main fetch loop } catch (Throwable t) { // let the main thread know and exit // it may be that this exception comes because the main thread closed the handover, in // which case the below reporting is irrelevant, but does not hurt either handover.reportError(t); } finally { // make sure the handover is closed if it is not already closed or has an error handover.close(); // make sure the KafkaConsumer is closed try { consumer.close(); } catch (Throwable t) { log.warn("Error while closing Kafka consumer", t); } } }

java

@Override public void run() { // early exit check if (!running) { return; } // this is the means to talk to FlinkKafkaConsumer's main thread final Handover handover = this.handover; // This method initializes the KafkaConsumer and guarantees it is torn down properly. // This is important, because the consumer has multi-threading issues, // including concurrent 'close()' calls. try { this.consumer = getConsumer(kafkaProperties); } catch (Throwable t) { handover.reportError(t); return; } // from here on, the consumer is guaranteed to be closed properly try { // register Kafka's very own metrics in Flink's metric reporters if (useMetrics) { // register Kafka metrics to Flink Map<MetricName, ? extends Metric> metrics = consumer.metrics(); if (metrics == null) { // MapR's Kafka implementation returns null here. log.info("Consumer implementation does not support metrics"); } else { // we have Kafka metrics, register them for (Map.Entry<MetricName, ? extends Metric> metric: metrics.entrySet()) { consumerMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); // TODO this metric is kept for compatibility purposes; should remove in the future subtaskMetricGroup.gauge(metric.getKey().name(), new KafkaMetricWrapper(metric.getValue())); } } } // early exit check if (!running) { return; } // the latest bulk of records. May carry across the loop if the thread is woken up // from blocking on the handover ConsumerRecords<byte[], byte[]> records = null; // reused variable to hold found unassigned new partitions. // found partitions are not carried across loops using this variable; // they are carried across via re-adding them to the unassigned partitions queue List<KafkaTopicPartitionState<TopicPartition>> newPartitions; // main fetch loop while (running) { // check if there is something to commit if (!commitInProgress) { // get and reset the work-to-be committed, so we don't repeatedly commit the same final Tuple2<Map<TopicPartition, OffsetAndMetadata>, KafkaCommitCallback> commitOffsetsAndCallback = nextOffsetsToCommit.getAndSet(null); if (commitOffsetsAndCallback != null) { log.debug("Sending async offset commit request to Kafka broker"); // also record that a commit is already in progress // the order here matters! first set the flag, then send the commit command. commitInProgress = true; consumer.commitAsync(commitOffsetsAndCallback.f0, new CommitCallback(commitOffsetsAndCallback.f1)); } } try { if (hasAssignedPartitions) { newPartitions = unassignedPartitionsQueue.pollBatch(); } else { // if no assigned partitions block until we get at least one // instead of hot spinning this loop. We rely on a fact that // unassignedPartitionsQueue will be closed on a shutdown, so // we don't block indefinitely newPartitions = unassignedPartitionsQueue.getBatchBlocking(); } if (newPartitions != null) { reassignPartitions(newPartitions); } } catch (AbortedReassignmentException e) { continue; } if (!hasAssignedPartitions) { // Without assigned partitions KafkaConsumer.poll will throw an exception continue; } // get the next batch of records, unless we did not manage to hand the old batch over if (records == null) { try { records = consumer.poll(pollTimeout); } catch (WakeupException we) { continue; } } try { handover.produce(records); records = null; } catch (Handover.WakeupException e) { // fall through the loop } } // end main fetch loop } catch (Throwable t) { // let the main thread know and exit // it may be that this exception comes because the main thread closed the handover, in // which case the below reporting is irrelevant, but does not hurt either handover.reportError(t); } finally { // make sure the handover is closed if it is not already closed or has an error handover.close(); // make sure the KafkaConsumer is closed try { consumer.close(); } catch (Throwable t) { log.warn("Error while closing Kafka consumer", t); } } }

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------------------------------------------------------------------------

[ "------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka/src/main/java/org/apache/flink/streaming/connectors/kafka/internal/KafkaConsumerThread.java#L153-L288

train

This method is called by the main thread of the FlinkKafkaConsumer. It is called by the FlinkKafkaConsumer s main thread to run the FlinkConsumer s main thread.

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apache/flink

flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MessageAcknowledgingSourceBase.java

MessageAcknowledgingSourceBase.snapshotState

@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); if (LOG.isDebugEnabled()) { LOG.debug("{} checkpointing: Messages: {}, checkpoint id: {}, timestamp: {}", idsForCurrentCheckpoint, context.getCheckpointId(), context.getCheckpointTimestamp()); } pendingCheckpoints.addLast(new Tuple2<>(context.getCheckpointId(), idsForCurrentCheckpoint)); idsForCurrentCheckpoint = new HashSet<>(64); this.checkpointedState.clear(); this.checkpointedState.add(SerializedCheckpointData.fromDeque(pendingCheckpoints, idSerializer)); }

java

@Override public void snapshotState(FunctionSnapshotContext context) throws Exception { Preconditions.checkState(this.checkpointedState != null, "The " + getClass().getSimpleName() + " has not been properly initialized."); if (LOG.isDebugEnabled()) { LOG.debug("{} checkpointing: Messages: {}, checkpoint id: {}, timestamp: {}", idsForCurrentCheckpoint, context.getCheckpointId(), context.getCheckpointTimestamp()); } pendingCheckpoints.addLast(new Tuple2<>(context.getCheckpointId(), idsForCurrentCheckpoint)); idsForCurrentCheckpoint = new HashSet<>(64); this.checkpointedState.clear(); this.checkpointedState.add(SerializedCheckpointData.fromDeque(pendingCheckpoints, idSerializer)); }

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------------------------------------------------------------------------

[ "------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MessageAcknowledgingSourceBase.java#L206-L221

train

This method is called by the snapshot manager to snapshot the state of the checkpoint.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/io/watch/WatchUtil.java

WatchUtil.createModify

public static WatchMonitor createModify(URL url, int maxDepth, Watcher watcher) { return createModify(URLUtil.toURI(url), maxDepth, watcher); }

java

public static WatchMonitor createModify(URL url, int maxDepth, Watcher watcher) { return createModify(URLUtil.toURI(url), maxDepth, watcher); }

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创建并初始化监听，监听修改事件 @param url URL @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 @param watcher {@link Watcher} @return {@link WatchMonitor} @since 4.5.2

[ "创建并初始化监听，监听修改事件" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/watch/WatchUtil.java#L275-L277

train

Creates a watch monitor that will modify the given URL.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/map/MapBuilder.java

MapBuilder.putAll

public MapBuilder<K, V> putAll(Map<K, V> map) { this.map.putAll(map); return this; }

java

public MapBuilder<K, V> putAll(Map<K, V> map) { this.map.putAll(map); return this; }

[ "public", "MapBuilder", "<", "K", ",", "V", ">", "putAll", "(", "Map", "<", "K", ",", "V", ">", "map", ")", "{", "this", ".", "map", ".", "putAll", "(", "map", ")", ";", "return", "this", ";", "}" ]

链式Map创建 @param map 合并map @return 当前类

[ "链式Map创建" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapBuilder.java#L55-L58

train

Adds all entries from the given map to the map.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java

ReUtil.findAllGroup0

public static List<String> findAllGroup0(Pattern pattern, CharSequence content) { return findAll(pattern, content, 0); }

java

public static List<String> findAllGroup0(Pattern pattern, CharSequence content) { return findAll(pattern, content, 0); }

[ "public", "static", "List", "<", "String", ">", "findAllGroup0", "(", "Pattern", "pattern", ",", "CharSequence", "content", ")", "{", "return", "findAll", "(", "pattern", ",", "content", ",", "0", ")", ";", "}" ]

取得内容中匹配的所有结果，获得匹配的所有结果中正则对应分组0的内容 @param pattern 编译后的正则模式 @param content 被查找的内容 @return 结果列表 @since 3.1.2

[ "取得内容中匹配的所有结果，获得匹配的所有结果中正则对应分组0的内容" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReUtil.java#L418-L420

train

Finds all groups of the given content that match the given pattern.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/zookeeper/ZooKeeperStateHandleStore.java

ZooKeeperStateHandleStore.releaseAndTryRemove

@Nullable public boolean releaseAndTryRemove(String pathInZooKeeper) throws Exception { checkNotNull(pathInZooKeeper, "Path in ZooKeeper"); final String path = normalizePath(pathInZooKeeper); RetrievableStateHandle<T> stateHandle = null; try { stateHandle = get(path, false); } catch (Exception e) { LOG.warn("Could not retrieve the state handle from node {}.", path, e); } release(pathInZooKeeper); try { client.delete().forPath(path); } catch (KeeperException.NotEmptyException ignored) { LOG.debug("Could not delete znode {} because it is still locked.", path); return false; } if (stateHandle != null) { stateHandle.discardState(); } return true; }

java

@Nullable public boolean releaseAndTryRemove(String pathInZooKeeper) throws Exception { checkNotNull(pathInZooKeeper, "Path in ZooKeeper"); final String path = normalizePath(pathInZooKeeper); RetrievableStateHandle<T> stateHandle = null; try { stateHandle = get(path, false); } catch (Exception e) { LOG.warn("Could not retrieve the state handle from node {}.", path, e); } release(pathInZooKeeper); try { client.delete().forPath(path); } catch (KeeperException.NotEmptyException ignored) { LOG.debug("Could not delete znode {} because it is still locked.", path); return false; } if (stateHandle != null) { stateHandle.discardState(); } return true; }

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Releases the lock for the given state node and tries to remove the state node if it is no longer locked. It returns the {@link RetrievableStateHandle} stored under the given state node if any. @param pathInZooKeeper Path of state handle to remove @return True if the state handle could be released @throws Exception If the ZooKeeper operation or discarding the state handle fails

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/zookeeper/ZooKeeperStateHandleStore.java#L331-L359

train

Release and try remove the state handle for the given path.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/classification/utilities/CollectionUtility.java

CollectionUtility.splitMap

public static Map<String, String[]> splitMap(Map<String, String[]> src, double rate) { assert 0 <= rate && rate <= 1; Map<String, String[]> output = new TreeMap<String, String[]>(); for (Map.Entry<String, String[]> entry : src.entrySet()) { String[][] array = spiltArray(entry.getValue(), rate); output.put(entry.getKey(), array[0]); entry.setValue(array[1]); } return output; }

java

public static Map<String, String[]> splitMap(Map<String, String[]> src, double rate) { assert 0 <= rate && rate <= 1; Map<String, String[]> output = new TreeMap<String, String[]>(); for (Map.Entry<String, String[]> entry : src.entrySet()) { String[][] array = spiltArray(entry.getValue(), rate); output.put(entry.getKey(), array[0]); entry.setValue(array[1]); } return output; }

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分割Map,其中旧map直接被改变 @param src @param rate @return

[ "分割Map", "其中旧map直接被改变" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/classification/utilities/CollectionUtility.java#L86-L98

train

Splits a map of strings into two maps of strings of the same type.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/model/crf/CRFModel.java

CRFModel.load

public static CRFModel load(String path) { CRFModel model = loadBin(path + BIN_EXT); if (model != null) return model; return loadTxt(path, new CRFModel(new DoubleArrayTrie<FeatureFunction>())); }

java

public static CRFModel load(String path) { CRFModel model = loadBin(path + BIN_EXT); if (model != null) return model; return loadTxt(path, new CRFModel(new DoubleArrayTrie<FeatureFunction>())); }

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加载CRF++模型 如果存在缓存的话，优先读取缓存，否则读取txt，并且建立缓存 @param path txt的路径，即使不存在.txt，只存在.bin，也应传入txt的路径，方法内部会自动加.bin后缀 @return

[ "加载CRF", "++", "模型<br", ">", "如果存在缓存的话，优先读取缓存，否则读取txt，并且建立缓存" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/crf/CRFModel.java#L414-L419

train

Load a CRFModel from a file.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapAggregatingState.java

HeapAggregatingState.get

@Override public OUT get() { ACC accumulator = getInternal(); return accumulator != null ? aggregateTransformation.aggFunction.getResult(accumulator) : null; }

java

@Override public OUT get() { ACC accumulator = getInternal(); return accumulator != null ? aggregateTransformation.aggFunction.getResult(accumulator) : null; }

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------------------------------------------------------------------------

[ "------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapAggregatingState.java#L89-L93

train

Returns the result of the aggregate operation.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/bean/DynaBean.java

DynaBean.get

@SuppressWarnings("unchecked") public <T> T get(String fieldName) throws BeanException{ if(Map.class.isAssignableFrom(beanClass)){ return (T) ((Map<?, ?>)bean).get(fieldName); }else{ try { final Method method = BeanUtil.getBeanDesc(beanClass).getGetter(fieldName); if(null == method){ throw new BeanException("No get method for {}", fieldName); } return (T) method.invoke(this.bean); } catch (Exception e) { throw new BeanException(e); } } }

java

@SuppressWarnings("unchecked") public <T> T get(String fieldName) throws BeanException{ if(Map.class.isAssignableFrom(beanClass)){ return (T) ((Map<?, ?>)bean).get(fieldName); }else{ try { final Method method = BeanUtil.getBeanDesc(beanClass).getGetter(fieldName); if(null == method){ throw new BeanException("No get method for {}", fieldName); } return (T) method.invoke(this.bean); } catch (Exception e) { throw new BeanException(e); } } }

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获得字段对应值 @param <T> 属性值类型 @param fieldName 字段名 @return 字段值 @throws BeanException 反射获取属性值或字段值导致的异常

[ "获得字段对应值" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/DynaBean.java#L74-L89

train

Gets the value of the specified field from the underlying map.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java

DoubleArrayTrie.build

public int build(List<String> _key, int _length[], int _value[], int _keySize) { if (_key == null || _keySize > _key.size()) return 0; // progress_func_ = progress_func; key = _key; length = _length; keySize = _keySize; value = _value; progress = 0; allocSize = 0; resize(65536 * 32); // 32个双字节 base[0] = 1; nextCheckPos = 0; Node root_node = new Node(); root_node.left = 0; root_node.right = keySize; root_node.depth = 0; List<Node> siblings = new ArrayList<Node>(); fetch(root_node, siblings); insert(siblings, new BitSet()); shrink(); // size += (1 << 8 * 2) + 1; // ??? // if (size >= allocSize) resize (size); key = null; length = null; return error_; }

java

public int build(List<String> _key, int _length[], int _value[], int _keySize) { if (_key == null || _keySize > _key.size()) return 0; // progress_func_ = progress_func; key = _key; length = _length; keySize = _keySize; value = _value; progress = 0; allocSize = 0; resize(65536 * 32); // 32个双字节 base[0] = 1; nextCheckPos = 0; Node root_node = new Node(); root_node.left = 0; root_node.right = keySize; root_node.depth = 0; List<Node> siblings = new ArrayList<Node>(); fetch(root_node, siblings); insert(siblings, new BitSet()); shrink(); // size += (1 << 8 * 2) + 1; // ??? // if (size >= allocSize) resize (size); key = null; length = null; return error_; }

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唯一的构建方法 @param _key 值set，必须字典序 @param _length 对应每个key的长度，留空动态获取 @param _value 每个key对应的值，留空使用key的下标作为值 @param _keySize key的长度，应该设为_key.size @return 是否出错

[ "唯一的构建方法" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java#L387-L423

train

Build a new key - value pair.

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looly/hutool

hutool-db/src/main/java/cn/hutool/db/AbstractDb.java

AbstractDb.checkTransactionSupported

protected void checkTransactionSupported(Connection conn) throws SQLException, DbRuntimeException { if (null == isSupportTransaction) { isSupportTransaction = conn.getMetaData().supportsTransactions(); } if (false == isSupportTransaction) { throw new DbRuntimeException("Transaction not supported for current database!"); } }

java

protected void checkTransactionSupported(Connection conn) throws SQLException, DbRuntimeException { if (null == isSupportTransaction) { isSupportTransaction = conn.getMetaData().supportsTransactions(); } if (false == isSupportTransaction) { throw new DbRuntimeException("Transaction not supported for current database!"); } }

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检查数据库是否支持事务，此项检查同一个数据源只检查一次，如果不支持抛出DbRuntimeException异常 @param conn Connection @throws SQLException 获取元数据信息失败 @throws DbRuntimeException 不支持事务

[ "检查数据库是否支持事务，此项检查同一个数据源只检查一次，如果不支持抛出DbRuntimeException异常" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/AbstractDb.java#L853-L860

train

Check if transaction support for current database.

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networknt/light-4j

utility/src/main/java/com/networknt/utility/CharUtils.java

CharUtils.unicodeEscaped

public static String unicodeEscaped(final Character ch) { if (ch == null) { return null; } return unicodeEscaped(ch.charValue()); }

java

public static String unicodeEscaped(final Character ch) { if (ch == null) { return null; } return unicodeEscaped(ch.charValue()); }

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Converts the string to the Unicode format '\u0020'. This format is the Java source code format. If {@code null} is passed in, {@code null} will be returned. <pre> CharUtils.unicodeEscaped(null) = null CharUtils.unicodeEscaped(' ') = "\u0020" CharUtils.unicodeEscaped('A') = "\u0041" </pre> @param ch the character to convert, may be null @return the escaped Unicode string, null if null input

[ "<p", ">", "Converts", "the", "string", "to", "the", "Unicode", "format", "\\", "u0020", ".", "<", "/", "p", ">" ]

2a60257c60663684c8f6dc8b5ea3cf184e534db6

https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/utility/src/main/java/com/networknt/utility/CharUtils.java#L318-L323

train

Unicode escaped.

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apache/flink

flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/SqlClient.java

SqlClient.openCli

private void openCli(SessionContext context, Executor executor) { CliClient cli = null; try { cli = new CliClient(context, executor); // interactive CLI mode if (options.getUpdateStatement() == null) { cli.open(); } // execute single update statement else { final boolean success = cli.submitUpdate(options.getUpdateStatement()); if (!success) { throw new SqlClientException("Could not submit given SQL update statement to cluster."); } } } finally { if (cli != null) { cli.close(); } } }

java

private void openCli(SessionContext context, Executor executor) { CliClient cli = null; try { cli = new CliClient(context, executor); // interactive CLI mode if (options.getUpdateStatement() == null) { cli.open(); } // execute single update statement else { final boolean success = cli.submitUpdate(options.getUpdateStatement()); if (!success) { throw new SqlClientException("Could not submit given SQL update statement to cluster."); } } } finally { if (cli != null) { cli.close(); } } }

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Opens the CLI client for executing SQL statements. @param context session context @param executor executor

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/SqlClient.java#L117-L137

train

Opens the CLI mode.

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apache/flink

flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java

Decimal.floor

public Decimal floor() { BigDecimal bd = toBigDecimal().setScale(0, RoundingMode.FLOOR); return fromBigDecimal(bd, bd.precision(), 0); }

java

public Decimal floor() { BigDecimal bd = toBigDecimal().setScale(0, RoundingMode.FLOOR); return fromBigDecimal(bd, bd.precision(), 0); }

[ "public", "Decimal", "floor", "(", ")", "{", "BigDecimal", "bd", "=", "toBigDecimal", "(", ")", ".", "setScale", "(", "0", ",", "RoundingMode", ".", "FLOOR", ")", ";", "return", "fromBigDecimal", "(", "bd", ",", "bd", ".", "precision", "(", ")", ",", "0", ")", ";", "}" ]

note that result may exceed the original precision.

[ "note", "that", "result", "may", "exceed", "the", "original", "precision", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java#L258-L261

train

Floor the decimal value.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/writer/RecordWriter.java

RecordWriter.tryFinishCurrentBufferBuilder

private void tryFinishCurrentBufferBuilder(int targetChannel) { if (!bufferBuilders[targetChannel].isPresent()) { return; } BufferBuilder bufferBuilder = bufferBuilders[targetChannel].get(); bufferBuilders[targetChannel] = Optional.empty(); numBytesOut.inc(bufferBuilder.finish()); numBuffersOut.inc(); }

java

private void tryFinishCurrentBufferBuilder(int targetChannel) { if (!bufferBuilders[targetChannel].isPresent()) { return; } BufferBuilder bufferBuilder = bufferBuilders[targetChannel].get(); bufferBuilders[targetChannel] = Optional.empty(); numBytesOut.inc(bufferBuilder.finish()); numBuffersOut.inc(); }

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Marks the current {@link BufferBuilder} as finished and clears the state for next one.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/writer/RecordWriter.java#L231-L239

train

Tries to finish the current buffer builder.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/suggest/Suggester.java

Suggester.sortScoreMap

private static TreeMap<Double ,Set<String>> sortScoreMap(TreeMap<String, Double> scoreMap) { TreeMap<Double, Set<String>> result = new TreeMap<Double, Set<String>>(Collections.reverseOrder()); for (Map.Entry<String, Double> entry : scoreMap.entrySet()) { Set<String> sentenceSet = result.get(entry.getValue()); if (sentenceSet == null) { sentenceSet = new HashSet<String>(); result.put(entry.getValue(), sentenceSet); } sentenceSet.add(entry.getKey()); } return result; }

java

private static TreeMap<Double ,Set<String>> sortScoreMap(TreeMap<String, Double> scoreMap) { TreeMap<Double, Set<String>> result = new TreeMap<Double, Set<String>>(Collections.reverseOrder()); for (Map.Entry<String, Double> entry : scoreMap.entrySet()) { Set<String> sentenceSet = result.get(entry.getValue()); if (sentenceSet == null) { sentenceSet = new HashSet<String>(); result.put(entry.getValue(), sentenceSet); } sentenceSet.add(entry.getKey()); } return result; }

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将分数map排序折叠 @param scoreMap @return

[ "将分数map排序折叠" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/suggest/Suggester.java#L109-L124

train

Sort the score map.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java

ReflectUtil.getConstructorsDirectly

public static Constructor<?>[] getConstructorsDirectly(Class<?> beanClass) throws SecurityException { Assert.notNull(beanClass); return beanClass.getDeclaredConstructors(); }

java

public static Constructor<?>[] getConstructorsDirectly(Class<?> beanClass) throws SecurityException { Assert.notNull(beanClass); return beanClass.getDeclaredConstructors(); }

[ "public", "static", "Constructor", "<", "?", ">", "[", "]", "getConstructorsDirectly", "(", "Class", "<", "?", ">", "beanClass", ")", "throws", "SecurityException", "{", "Assert", ".", "notNull", "(", "beanClass", ")", ";", "return", "beanClass", ".", "getDeclaredConstructors", "(", ")", ";", "}" ]

获得一个类中所有字段列表，直接反射获取，无缓存 @param beanClass 类 @return 字段列表 @throws SecurityException 安全检查异常

[ "获得一个类中所有字段列表，直接反射获取，无缓存" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java#L88-L91

train

Get the constructors directly from the specified class.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/codec/Rot.java

Rot.decode

public static String decode(String rot, int offset, boolean isDecodeNumber) { final int len = rot.length(); final char[] chars = new char[len]; for (int i = 0; i < len; i++) { chars[i] = decodeChar(rot.charAt(i), offset, isDecodeNumber); } return new String(chars); }

java

public static String decode(String rot, int offset, boolean isDecodeNumber) { final int len = rot.length(); final char[] chars = new char[len]; for (int i = 0; i < len; i++) { chars[i] = decodeChar(rot.charAt(i), offset, isDecodeNumber); } return new String(chars); }

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RotN解码 @param rot 被解码的消息密文 @param offset 位移，常用位移13 @param isDecodeNumber 是否解码数字 @return 解码后的字符串

[ "RotN解码" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/codec/Rot.java#L87-L95

train

Decodes a String with the given offset.

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apache/spark

common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java

UTF8String.substring

public UTF8String substring(final int start, final int until) { if (until <= start || start >= numBytes) { return EMPTY_UTF8; } int i = 0; int c = 0; while (i < numBytes && c < start) { i += numBytesForFirstByte(getByte(i)); c += 1; } int j = i; while (i < numBytes && c < until) { i += numBytesForFirstByte(getByte(i)); c += 1; } if (i > j) { byte[] bytes = new byte[i - j]; copyMemory(base, offset + j, bytes, BYTE_ARRAY_OFFSET, i - j); return fromBytes(bytes); } else { return EMPTY_UTF8; } }

java

public UTF8String substring(final int start, final int until) { if (until <= start || start >= numBytes) { return EMPTY_UTF8; } int i = 0; int c = 0; while (i < numBytes && c < start) { i += numBytesForFirstByte(getByte(i)); c += 1; } int j = i; while (i < numBytes && c < until) { i += numBytesForFirstByte(getByte(i)); c += 1; } if (i > j) { byte[] bytes = new byte[i - j]; copyMemory(base, offset + j, bytes, BYTE_ARRAY_OFFSET, i - j); return fromBytes(bytes); } else { return EMPTY_UTF8; } }

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Returns a substring of this. @param start the position of first code point @param until the position after last code point, exclusive.

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25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L308-L333

train

Returns a substring of this string.

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looly/hutool

hutool-http/src/main/java/cn/hutool/http/useragent/UserAgentParser.java

UserAgentParser.parseEngineVersion

private static String parseEngineVersion(Engine engine, String userAgentString) { final String regexp = engine.getName() + "[\\/\\- ]([\\d\\w\\.\\-]+)"; final Pattern pattern = Pattern.compile(regexp, Pattern.CASE_INSENSITIVE); return ReUtil.getGroup1(pattern, userAgentString); }

java

private static String parseEngineVersion(Engine engine, String userAgentString) { final String regexp = engine.getName() + "[\\/\\- ]([\\d\\w\\.\\-]+)"; final Pattern pattern = Pattern.compile(regexp, Pattern.CASE_INSENSITIVE); return ReUtil.getGroup1(pattern, userAgentString); }

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解析引擎版本 @param engine 引擎 @param userAgentString User-Agent字符串 @return 引擎版本

[ "解析引擎版本" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/useragent/UserAgentParser.java#L79-L83

train

Parse the engine version from the user agent string.

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netty/netty

resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolverBuilder.java

DnsNameResolverBuilder.searchDomains

public DnsNameResolverBuilder searchDomains(Iterable<String> searchDomains) { checkNotNull(searchDomains, "searchDomains"); final List<String> list = new ArrayList<String>(4); for (String f : searchDomains) { if (f == null) { break; } // Avoid duplicate entries. if (list.contains(f)) { continue; } list.add(f); } this.searchDomains = list.toArray(new String[0]); return this; }

java

public DnsNameResolverBuilder searchDomains(Iterable<String> searchDomains) { checkNotNull(searchDomains, "searchDomains"); final List<String> list = new ArrayList<String>(4); for (String f : searchDomains) { if (f == null) { break; } // Avoid duplicate entries. if (list.contains(f)) { continue; } list.add(f); } this.searchDomains = list.toArray(new String[0]); return this; }

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Set the list of search domains of the resolver. @param searchDomains the search domains @return {@code this}

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolverBuilder.java#L345-L365

train

Sets the search domains.

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looly/hutool

hutool-http/src/main/java/cn/hutool/http/HtmlUtil.java

HtmlUtil.unwrapHtmlTag

public static String unwrapHtmlTag(String content, String... tagNames) { return removeHtmlTag(content, false, tagNames); }

java

public static String unwrapHtmlTag(String content, String... tagNames) { return removeHtmlTag(content, false, tagNames); }

[ "public", "static", "String", "unwrapHtmlTag", "(", "String", "content", ",", "String", "...", "tagNames", ")", "{", "return", "removeHtmlTag", "(", "content", ",", "false", ",", "tagNames", ")", ";", "}" ]

清除指定HTML标签，不包括内容 不区分大小写 @param content 文本 @param tagNames 要清除的标签 @return 去除标签后的文本

[ "清除指定HTML标签，不包括内容<br", ">", "不区分大小写" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HtmlUtil.java#L109-L111

train

Unwraps the HTML tag with the given names.

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SeleniumHQ/selenium

java/server/src/org/openqa/grid/common/RegistrationRequest.java

RegistrationRequest.build

public static RegistrationRequest build(GridNodeConfiguration configuration, String name) { return RegistrationRequest.build(configuration, name, null); }

java

public static RegistrationRequest build(GridNodeConfiguration configuration, String name) { return RegistrationRequest.build(configuration, name, null); }

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Build a RegistrationRequest from the provided {@link GridNodeConfiguration}, use the provided name. This is different than {@code new RegistrationRequest(GridNodeConfiguration, String)} because it will first load any specified {@link GridNodeConfiguration#nodeConfigFile} and then merge the provided configuration onto it. @param configuration the {@link GridNodeConfiguration} to use. Internally calls {@code new GridNodeConfiguration()} if a {@code null} value is provided since a request without configuration is not valid. @param name the name for the remote

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7af172729f17b20269c8ca4ea6f788db48616535

https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/server/src/org/openqa/grid/common/RegistrationRequest.java#L178-L180

train

Build a RegistrationRequest object from the given configuration and name.

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netty/netty

codec/src/main/java/io/netty/handler/codec/compression/Bzip2HuffmanAllocator.java

Bzip2HuffmanAllocator.allocateNodeLengthsWithRelocation

private static void allocateNodeLengthsWithRelocation(final int[] array, final int nodesToMove, final int insertDepth) { int firstNode = array.length - 2; int nextNode = array.length - 1; int currentDepth = insertDepth == 1 ? 2 : 1; int nodesLeftToMove = insertDepth == 1 ? nodesToMove - 2 : nodesToMove; for (int availableNodes = currentDepth << 1; availableNodes > 0; currentDepth++) { final int lastNode = firstNode; firstNode = firstNode <= nodesToMove ? firstNode : first(array, lastNode - 1, nodesToMove); int offset = 0; if (currentDepth >= insertDepth) { offset = Math.min(nodesLeftToMove, 1 << (currentDepth - insertDepth)); } else if (currentDepth == insertDepth - 1) { offset = 1; if (array[firstNode] == lastNode) { firstNode++; } } for (int i = availableNodes - (lastNode - firstNode + offset); i > 0; i--) { array[nextNode--] = currentDepth; } nodesLeftToMove -= offset; availableNodes = (lastNode - firstNode + offset) << 1; } }

java

private static void allocateNodeLengthsWithRelocation(final int[] array, final int nodesToMove, final int insertDepth) { int firstNode = array.length - 2; int nextNode = array.length - 1; int currentDepth = insertDepth == 1 ? 2 : 1; int nodesLeftToMove = insertDepth == 1 ? nodesToMove - 2 : nodesToMove; for (int availableNodes = currentDepth << 1; availableNodes > 0; currentDepth++) { final int lastNode = firstNode; firstNode = firstNode <= nodesToMove ? firstNode : first(array, lastNode - 1, nodesToMove); int offset = 0; if (currentDepth >= insertDepth) { offset = Math.min(nodesLeftToMove, 1 << (currentDepth - insertDepth)); } else if (currentDepth == insertDepth - 1) { offset = 1; if (array[firstNode] == lastNode) { firstNode++; } } for (int i = availableNodes - (lastNode - firstNode + offset); i > 0; i--) { array[nextNode--] = currentDepth; } nodesLeftToMove -= offset; availableNodes = (lastNode - firstNode + offset) << 1; } }

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A final allocation pass that relocates nodes in order to achieve a maximum code length limit. @param array The code length array @param nodesToMove The number of internal nodes to be relocated @param insertDepth The depth at which to insert relocated nodes

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/compression/Bzip2HuffmanAllocator.java#L122-L150

train

Allocate node lengths with relocation.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlot.java

TaskSlot.markInactive

public boolean markInactive() { if (TaskSlotState.ACTIVE == state || TaskSlotState.ALLOCATED == state) { state = TaskSlotState.ALLOCATED; return true; } else { return false; } }

java

public boolean markInactive() { if (TaskSlotState.ACTIVE == state || TaskSlotState.ALLOCATED == state) { state = TaskSlotState.ALLOCATED; return true; } else { return false; } }

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Mark the slot as inactive/allocated. A slot can only be marked as inactive/allocated if it's in state allocated or active. @return True if the new state of the slot is allocated; otherwise false

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlot.java#L253-L261

train

Mark this slot as inactive.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java

StateAssignmentOperation.extractIntersectingState

private static void extractIntersectingState( Collection<KeyedStateHandle> originalSubtaskStateHandles, KeyGroupRange rangeToExtract, List<KeyedStateHandle> extractedStateCollector) { for (KeyedStateHandle keyedStateHandle : originalSubtaskStateHandles) { if (keyedStateHandle != null) { KeyedStateHandle intersectedKeyedStateHandle = keyedStateHandle.getIntersection(rangeToExtract); if (intersectedKeyedStateHandle != null) { extractedStateCollector.add(intersectedKeyedStateHandle); } } } }

java

private static void extractIntersectingState( Collection<KeyedStateHandle> originalSubtaskStateHandles, KeyGroupRange rangeToExtract, List<KeyedStateHandle> extractedStateCollector) { for (KeyedStateHandle keyedStateHandle : originalSubtaskStateHandles) { if (keyedStateHandle != null) { KeyedStateHandle intersectedKeyedStateHandle = keyedStateHandle.getIntersection(rangeToExtract); if (intersectedKeyedStateHandle != null) { extractedStateCollector.add(intersectedKeyedStateHandle); } } } }

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Extracts certain key group ranges from the given state handles and adds them to the collector.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java#L464-L480

train

Extract the intersection of the given range to extract into the given list of state handles.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronNameGenderClassifier.java

PerceptronNameGenderClassifier.extractGivenName

public static String extractGivenName(String name) { if (name.length() <= 2) return "_" + name.substring(name.length() - 1); else return name.substring(name.length() - 2); }

java

public static String extractGivenName(String name) { if (name.length() <= 2) return "_" + name.substring(name.length() - 1); else return name.substring(name.length() - 2); }

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去掉姓氏，截取中国人名中的名字 @param name 姓名 @return 名

[ "去掉姓氏，截取中国人名中的名字" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronNameGenderClassifier.java#L63-L70

train

Extract a name from a name of a CID SECTYPE.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/comparator/VersionComparator.java

VersionComparator.compare

@Override public int compare(String version1, String version2) { if(version1 == version2) { return 0; } if (version1 == null && version2 == null) { return 0; } else if (version1 == null) {// null视为最小版本，排在前 return -1; } else if (version2 == null) { return 1; } final List<String> v1s = StrUtil.split(version1, CharUtil.DOT); final List<String> v2s = StrUtil.split(version2, CharUtil.DOT); int diff = 0; int minLength = Math.min(v1s.size(), v2s.size());// 取最小长度值 String v1; String v2; for (int i = 0; i < minLength; i++) { v1 = v1s.get(i); v2 = v2s.get(i); // 先比较长度 diff = v1.length() - v2.length(); if (0 == diff) { diff = v1.compareTo(v2); } if(diff != 0) { //已有结果，结束 break; } } // 如果已经分出大小，则直接返回，如果未分出大小，则再比较位数，有子版本的为大； return (diff != 0) ? diff : v1s.size() - v2s.size(); }

java

@Override public int compare(String version1, String version2) { if(version1 == version2) { return 0; } if (version1 == null && version2 == null) { return 0; } else if (version1 == null) {// null视为最小版本，排在前 return -1; } else if (version2 == null) { return 1; } final List<String> v1s = StrUtil.split(version1, CharUtil.DOT); final List<String> v2s = StrUtil.split(version2, CharUtil.DOT); int diff = 0; int minLength = Math.min(v1s.size(), v2s.size());// 取最小长度值 String v1; String v2; for (int i = 0; i < minLength; i++) { v1 = v1s.get(i); v2 = v2s.get(i); // 先比较长度 diff = v1.length() - v2.length(); if (0 == diff) { diff = v1.compareTo(v2); } if(diff != 0) { //已有结果，结束 break; } } // 如果已经分出大小，则直接返回，如果未分出大小，则再比较位数，有子版本的为大； return (diff != 0) ? diff : v1s.size() - v2s.size(); }

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比较两个版本 null版本排在最小：既： <pre> compare(null, "v1") < 0 compare("v1", "v1") = 0 compare(null, null) = 0 compare("v1", null) > 0 compare("1.0.0", "1.0.2") < 0 compare("1.0.2", "1.0.2a") < 0 compare("1.13.0", "1.12.1c") > 0 compare("V0.0.20170102", "V0.0.20170101") > 0 </pre> @param version1 版本1 @param version2 版本2

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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/comparator/VersionComparator.java#L50-L86

train

Compares two version strings.

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apache/flink

flink-java/src/main/java/org/apache/flink/api/java/RemoteEnvironment.java

RemoteEnvironment.installShutdownHook

private void installShutdownHook() { if (shutdownHook == null) { this.shutdownHook = ShutdownHookUtil.addShutdownHook(this::dispose, getClass().getSimpleName(), LOG); } }

java

private void installShutdownHook() { if (shutdownHook == null) { this.shutdownHook = ShutdownHookUtil.addShutdownHook(this::dispose, getClass().getSimpleName(), LOG); } }

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------------------------------------------------------------------------

[ "------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/RemoteEnvironment.java#L252-L256

train

Installs a shutdown hook.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java

FileUtil.copy

public static File copy(String srcPath, String destPath, boolean isOverride) throws IORuntimeException { return copy(file(srcPath), file(destPath), isOverride); }

java

public static File copy(String srcPath, String destPath, boolean isOverride) throws IORuntimeException { return copy(file(srcPath), file(destPath), isOverride); }

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复制文件或目录 如果目标文件为目录，则将源文件以相同文件名拷贝到目标目录 @param srcPath 源文件或目录 @param destPath 目标文件或目录，目标不存在会自动创建（目录、文件都创建） @param isOverride 是否覆盖目标文件 @return 目标目录或文件 @throws IORuntimeException IO异常

[ "复制文件或目录<br", ">", "如果目标文件为目录，则将源文件以相同文件名拷贝到目标目录" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L983-L985

train

Copy a file from srcPath to destPath.

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apache/incubator-shardingsphere

sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/ShardingExecutorService.java

ShardingExecutorService.close

public void close() { SHUTDOWN_EXECUTOR.execute(new Runnable() { @Override public void run() { try { executorService.shutdown(); while (!executorService.awaitTermination(5, TimeUnit.SECONDS)) { executorService.shutdownNow(); } } catch (final InterruptedException ex) { Thread.currentThread().interrupt(); } } }); }

java

public void close() { SHUTDOWN_EXECUTOR.execute(new Runnable() { @Override public void run() { try { executorService.shutdown(); while (!executorService.awaitTermination(5, TimeUnit.SECONDS)) { executorService.shutdownNow(); } } catch (final InterruptedException ex) { Thread.currentThread().interrupt(); } } }); }

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Close executor service.

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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d

https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/ShardingExecutorService.java#L61-L76

train

Close the application.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/iterative/task/AbstractIterativeTask.java

AbstractIterativeTask.createWorksetUpdateOutputCollector

protected Collector<OT> createWorksetUpdateOutputCollector(Collector<OT> delegate) { DataOutputView outputView = worksetBackChannel.getWriteEnd(); TypeSerializer<OT> serializer = getOutputSerializer(); return new WorksetUpdateOutputCollector<OT>(outputView, serializer, delegate); }

java

protected Collector<OT> createWorksetUpdateOutputCollector(Collector<OT> delegate) { DataOutputView outputView = worksetBackChannel.getWriteEnd(); TypeSerializer<OT> serializer = getOutputSerializer(); return new WorksetUpdateOutputCollector<OT>(outputView, serializer, delegate); }

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Creates a new {@link WorksetUpdateOutputCollector}. This collector is used by {@link IterationIntermediateTask} or {@link IterationTailTask} to update the workset. If a non-null delegate is given, the new {@link Collector} will write to the solution set and also call collect(T) of the delegate. @param delegate null -OR- the delegate on which to call collect() by the newly created collector @return a new {@link WorksetUpdateOutputCollector}

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/iterative/task/AbstractIterativeTask.java#L316-L320

train

Create a workset update output collector.

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netty/netty

codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java

HttpConversionUtil.toFullHttpRequest

public static FullHttpRequest toFullHttpRequest(int streamId, Http2Headers http2Headers, ByteBufAllocator alloc, boolean validateHttpHeaders) throws Http2Exception { // HTTP/2 does not define a way to carry the version identifier that is included in the HTTP/1.1 request line. final CharSequence method = checkNotNull(http2Headers.method(), "method header cannot be null in conversion to HTTP/1.x"); final CharSequence path = checkNotNull(http2Headers.path(), "path header cannot be null in conversion to HTTP/1.x"); FullHttpRequest msg = new DefaultFullHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.valueOf(method .toString()), path.toString(), alloc.buffer(), validateHttpHeaders); try { addHttp2ToHttpHeaders(streamId, http2Headers, msg, false); } catch (Http2Exception e) { msg.release(); throw e; } catch (Throwable t) { msg.release(); throw streamError(streamId, PROTOCOL_ERROR, t, "HTTP/2 to HTTP/1.x headers conversion error"); } return msg; }

java

public static FullHttpRequest toFullHttpRequest(int streamId, Http2Headers http2Headers, ByteBufAllocator alloc, boolean validateHttpHeaders) throws Http2Exception { // HTTP/2 does not define a way to carry the version identifier that is included in the HTTP/1.1 request line. final CharSequence method = checkNotNull(http2Headers.method(), "method header cannot be null in conversion to HTTP/1.x"); final CharSequence path = checkNotNull(http2Headers.path(), "path header cannot be null in conversion to HTTP/1.x"); FullHttpRequest msg = new DefaultFullHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.valueOf(method .toString()), path.toString(), alloc.buffer(), validateHttpHeaders); try { addHttp2ToHttpHeaders(streamId, http2Headers, msg, false); } catch (Http2Exception e) { msg.release(); throw e; } catch (Throwable t) { msg.release(); throw streamError(streamId, PROTOCOL_ERROR, t, "HTTP/2 to HTTP/1.x headers conversion error"); } return msg; }

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Create a new object to contain the request data @param streamId The stream associated with the request @param http2Headers The initial set of HTTP/2 headers to create the request with @param alloc The {@link ByteBufAllocator} to use to generate the content of the message @param validateHttpHeaders <ul> <li>{@code true} to validate HTTP headers in the http-codec</li> <li>{@code false} not to validate HTTP headers in the http-codec</li> </ul> @return A new request object which represents headers/data @throws Http2Exception see {@link #addHttp2ToHttpHeaders(int, Http2Headers, FullHttpMessage, boolean)}

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java#L246-L266

train

Convert a HTTP2 request to a FullHttpRequest.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/IOManager.java

IOManager.createChannel

public FileIOChannel.ID createChannel() { final int num = getNextPathNum(); return new FileIOChannel.ID(this.paths[num], num, this.random); }

java

public FileIOChannel.ID createChannel() { final int num = getNextPathNum(); return new FileIOChannel.ID(this.paths[num], num, this.random); }

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Creates a new {@link FileIOChannel.ID} in one of the temp directories. Multiple invocations of this method spread the channels evenly across the different directories. @return A channel to a temporary directory.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/IOManager.java#L128-L131

train

Creates a new file channel.

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apache/flink

flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java

Decimal.fromBigDecimal

public static Decimal fromBigDecimal(BigDecimal bd, int precision, int scale) { bd = bd.setScale(scale, RoundingMode.HALF_UP); if (bd.precision() > precision) { return null; } long longVal = -1; if (precision <= MAX_COMPACT_PRECISION) { longVal = bd.movePointRight(scale).longValueExact(); } return new Decimal(precision, scale, longVal, bd); }

java

public static Decimal fromBigDecimal(BigDecimal bd, int precision, int scale) { bd = bd.setScale(scale, RoundingMode.HALF_UP); if (bd.precision() > precision) { return null; } long longVal = -1; if (precision <= MAX_COMPACT_PRECISION) { longVal = bd.movePointRight(scale).longValueExact(); } return new Decimal(precision, scale, longVal, bd); }

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then `precision` is checked. if precision overflow, it will return `null`

[ "then", "precision", "is", "checked", ".", "if", "precision", "overflow", "it", "will", "return", "null" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Decimal.java#L158-L169

train

Create a Decimal from a BigDecimal.

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spring-projects/spring-boot

spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/command/shell/Shell.java

Shell.handleSigInt

protected void handleSigInt() { if (this.commandRunner.handleSigInt()) { return; } System.out.println(String.format("%nThanks for using Spring Boot")); System.exit(1); }

java

protected void handleSigInt() { if (this.commandRunner.handleSigInt()) { return; } System.out.println(String.format("%nThanks for using Spring Boot")); System.exit(1); }

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Final handle an interrupt signal (CTRL-C).

[ "Final", "handle", "an", "interrupt", "signal", "(", "CTRL", "-", "C", ")", "." ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/command/shell/Shell.java#L175-L181

train

Handle the sigint.

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apache/flink

flink-java/src/main/java/org/apache/flink/api/java/operators/IterativeDataSet.java

IterativeDataSet.translateToDataFlow

@Override protected org.apache.flink.api.common.operators.SingleInputOperator<T, T, ?> translateToDataFlow(Operator<T> input) { // All the translation magic happens when the iteration end is encountered. throw new InvalidProgramException("A data set that is part of an iteration was used as a sink or action." + " Did you forget to close the iteration?"); }

java

@Override protected org.apache.flink.api.common.operators.SingleInputOperator<T, T, ?> translateToDataFlow(Operator<T> input) { // All the translation magic happens when the iteration end is encountered. throw new InvalidProgramException("A data set that is part of an iteration was used as a sink or action." + " Did you forget to close the iteration?"); }

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--------------------------------------------------------------------------------------------

[ "--------------------------------------------------------------------------------------------" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/IterativeDataSet.java#L150-L155

train

This method is used to translate a single input operator to a data flow.

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apache/spark

common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java

JavaUtils.bufferToArray

public static byte[] bufferToArray(ByteBuffer buffer) { if (buffer.hasArray() && buffer.arrayOffset() == 0 && buffer.array().length == buffer.remaining()) { return buffer.array(); } else { byte[] bytes = new byte[buffer.remaining()]; buffer.get(bytes); return bytes; } }

java

public static byte[] bufferToArray(ByteBuffer buffer) { if (buffer.hasArray() && buffer.arrayOffset() == 0 && buffer.array().length == buffer.remaining()) { return buffer.array(); } else { byte[] bytes = new byte[buffer.remaining()]; buffer.get(bytes); return bytes; } }

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Returns a byte array with the buffer's contents, trying to avoid copying the data if possible.

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25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java#L354-L363

train

Get the bytes from the given ByteBuffer.

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netty/netty

buffer/src/main/java/io/netty/buffer/Unpooled.java

Unpooled.copiedBuffer

public static ByteBuf copiedBuffer(char[] array, int offset, int length, Charset charset) { if (array == null) { throw new NullPointerException("array"); } if (length == 0) { return EMPTY_BUFFER; } return copiedBuffer(CharBuffer.wrap(array, offset, length), charset); }

java

public static ByteBuf copiedBuffer(char[] array, int offset, int length, Charset charset) { if (array == null) { throw new NullPointerException("array"); } if (length == 0) { return EMPTY_BUFFER; } return copiedBuffer(CharBuffer.wrap(array, offset, length), charset); }

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Creates a new big-endian buffer whose content is a subregion of the specified {@code array} encoded in the specified {@code charset}. The new buffer's {@code readerIndex} and {@code writerIndex} are {@code 0} and the length of the encoded string respectively.

[ "Creates", "a", "new", "big", "-", "endian", "buffer", "whose", "content", "is", "a", "subregion", "of", "the", "specified", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/buffer/src/main/java/io/netty/buffer/Unpooled.java#L641-L649

train

Create a new byte buffer that wraps the specified char array.

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looly/hutool

hutool-crypto/src/main/java/cn/hutool/crypto/symmetric/RC4.java

RC4.decrypt

public String decrypt(byte[] message, Charset charset) throws CryptoException { return StrUtil.str(crypt(message), charset); }

java

public String decrypt(byte[] message, Charset charset) throws CryptoException { return StrUtil.str(crypt(message), charset); }

[ "public", "String", "decrypt", "(", "byte", "[", "]", "message", ",", "Charset", "charset", ")", "throws", "CryptoException", "{", "return", "StrUtil", ".", "str", "(", "crypt", "(", "message", ")", ",", "charset", ")", ";", "}" ]

解密 @param message 消息 @param charset 编码 @return 明文 @throws CryptoException key长度小于5或者大于255抛出此异常

[ "解密" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/symmetric/RC4.java#L72-L74

train

Decrypt a byte array.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/Execution.java

Execution.triggerSynchronousSavepoint

public void triggerSynchronousSavepoint(long checkpointId, long timestamp, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) { triggerCheckpointHelper(checkpointId, timestamp, checkpointOptions, advanceToEndOfEventTime); }

java

public void triggerSynchronousSavepoint(long checkpointId, long timestamp, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) { triggerCheckpointHelper(checkpointId, timestamp, checkpointOptions, advanceToEndOfEventTime); }

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Trigger a new checkpoint on the task of this execution. @param checkpointId of th checkpoint to trigger @param timestamp of the checkpoint to trigger @param checkpointOptions of the checkpoint to trigger @param advanceToEndOfEventTime Flag indicating if the source should inject a {@code MAX_WATERMARK} in the pipeline to fire any registered event-time timers

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/Execution.java#L881-L883

train

Trigger a synchronous savepoint.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java

IoUtil.readLines

public static <T extends Collection<String>> T readLines(InputStream in, String charsetName, T collection) throws IORuntimeException { return readLines(in, CharsetUtil.charset(charsetName), collection); }

java

public static <T extends Collection<String>> T readLines(InputStream in, String charsetName, T collection) throws IORuntimeException { return readLines(in, CharsetUtil.charset(charsetName), collection); }

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从流中读取内容 @param <T> 集合类型 @param in 输入流 @param charsetName 字符集 @param collection 返回集合 @return 内容 @throws IORuntimeException IO异常

[ "从流中读取内容" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L644-L646

train

Reads the contents of the given input stream into the given collection using the specified encoding.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/router/MethodlessRouter.java

MethodlessRouter.anyMatched

public boolean anyMatched(String[] requestPathTokens) { Map<String, String> pathParams = new HashMap<>(); for (PathPattern pattern : routes.keySet()) { if (pattern.match(requestPathTokens, pathParams)) { return true; } // Reset for the next loop pathParams.clear(); } return false; }

java

public boolean anyMatched(String[] requestPathTokens) { Map<String, String> pathParams = new HashMap<>(); for (PathPattern pattern : routes.keySet()) { if (pattern.match(requestPathTokens, pathParams)) { return true; } // Reset for the next loop pathParams.clear(); } return false; }

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Checks if there's any matching route.

[ "Checks", "if", "there", "s", "any", "matching", "route", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/router/MethodlessRouter.java#L108-L120

train

Checks if any of the routes match the request path tokens.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/InMemoryPartition.java

InMemoryPartition.clearAllMemory

public void clearAllMemory(List<MemorySegment> target) { // return the overflow segments if (this.overflowSegments != null) { for (int k = 0; k < this.numOverflowSegments; k++) { target.add(this.overflowSegments[k]); } } // return the partition buffers target.addAll(this.partitionPages); this.partitionPages.clear(); }

java

public void clearAllMemory(List<MemorySegment> target) { // return the overflow segments if (this.overflowSegments != null) { for (int k = 0; k < this.numOverflowSegments; k++) { target.add(this.overflowSegments[k]); } } // return the partition buffers target.addAll(this.partitionPages); this.partitionPages.clear(); }

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releases all of the partition's segments (pages and overflow buckets) @param target memory pool to release segments to

[ "releases", "all", "of", "the", "partition", "s", "segments", "(", "pages", "and", "overflow", "buckets", ")" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/InMemoryPartition.java#L267-L277

train

Clear all memory.

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spring-projects/spring-boot

spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/bind/Bindable.java

Bindable.mapOf

public static <K, V> Bindable<Map<K, V>> mapOf(Class<K> keyType, Class<V> valueType) { return of(ResolvableType.forClassWithGenerics(Map.class, keyType, valueType)); }

java

public static <K, V> Bindable<Map<K, V>> mapOf(Class<K> keyType, Class<V> valueType) { return of(ResolvableType.forClassWithGenerics(Map.class, keyType, valueType)); }

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Create a new {@link Bindable} {@link Map} of the specified key and value type. @param <K> the key type @param <V> the value type @param keyType the map key type @param valueType the map value type @return a {@link Bindable} instance

[ "Create", "a", "new", "{" ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/bind/Bindable.java#L235-L237

train

Create a map binding for the given key and value types.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/collection/AhoCorasick/AhoCorasickDoubleArrayTrie.java

AhoCorasickDoubleArrayTrie.storeEmits

private void storeEmits(int position, int currentState, List<Hit<V>> collectedEmits) { int[] hitArray = output[currentState]; if (hitArray != null) { for (int hit : hitArray) { collectedEmits.add(new Hit<V>(position - l[hit], position, v[hit])); } } }

java

private void storeEmits(int position, int currentState, List<Hit<V>> collectedEmits) { int[] hitArray = output[currentState]; if (hitArray != null) { for (int hit : hitArray) { collectedEmits.add(new Hit<V>(position - l[hit], position, v[hit])); } } }

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保存输出 @param position @param currentState @param collectedEmits

[ "保存输出" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/AhoCorasick/AhoCorasickDoubleArrayTrie.java#L414-L424

train

Stores the hits in the Hit array for the current state.

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apache/flink

flink-core/src/main/java/org/apache/flink/types/ListValue.java

ListValue.addAll

@Override public boolean addAll(final int index, final Collection<? extends V> c) { return this.list.addAll(index, c); }

java

@Override public boolean addAll(final int index, final Collection<? extends V> c) { return this.list.addAll(index, c); }

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/* (non-Javadoc) @see java.util.List#addAll(int, java.util.Collection)

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/ListValue.java#L185-L188

train

Add all elements in the collection at the specified index.

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apache/flink

flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/hadoopcompatibility/HadoopInputs.java

HadoopInputs.readHadoopFile

public static <K, V> HadoopInputFormat<K, V> readHadoopFile(org.apache.hadoop.mapred.FileInputFormat<K, V> mapredInputFormat, Class<K> key, Class<V> value, String inputPath) { return readHadoopFile(mapredInputFormat, key, value, inputPath, new JobConf()); }

java

public static <K, V> HadoopInputFormat<K, V> readHadoopFile(org.apache.hadoop.mapred.FileInputFormat<K, V> mapredInputFormat, Class<K> key, Class<V> value, String inputPath) { return readHadoopFile(mapredInputFormat, key, value, inputPath, new JobConf()); }

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Creates a Flink {@link InputFormat} that wraps the given Hadoop {@link org.apache.hadoop.mapred.FileInputFormat}. @return A Flink InputFormat that wraps the Hadoop FileInputFormat.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/hadoopcompatibility/HadoopInputs.java#L62-L64

train

Read hadoop file.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java

ClusterAnalyzer.addDocument

public Document<K> addDocument(K id, String document) { return addDocument(id, preprocess(document)); }

java

public Document<K> addDocument(K id, String document) { return addDocument(id, preprocess(document)); }

[ "public", "Document", "<", "K", ">", "addDocument", "(", "K", "id", ",", "String", "document", ")", "{", "return", "addDocument", "(", "id", ",", "preprocess", "(", "document", ")", ")", ";", "}" ]

添加文档 @param id 文档id @param document 文档内容 @return 文档对象

[ "添加文档" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/cluster/ClusterAnalyzer.java#L114-L117

train

Add a document to the cache.

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apache/flink

flink-examples/flink-examples-batch/src/main/java/org/apache/flink/examples/java/graph/ConnectedComponents.java

ConnectedComponents.main

public static void main(String... args) throws Exception { // Checking input parameters final ParameterTool params = ParameterTool.fromArgs(args); // set up execution environment ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); final int maxIterations = params.getInt("iterations", 10); // make parameters available in the web interface env.getConfig().setGlobalJobParameters(params); // read vertex and edge data DataSet<Long> vertices = getVertexDataSet(env, params); DataSet<Tuple2<Long, Long>> edges = getEdgeDataSet(env, params).flatMap(new UndirectEdge()); // assign the initial components (equal to the vertex id) DataSet<Tuple2<Long, Long>> verticesWithInitialId = vertices.map(new DuplicateValue<Long>()); // open a delta iteration DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration = verticesWithInitialId.iterateDelta(verticesWithInitialId, maxIterations, 0); // apply the step logic: join with the edges, select the minimum neighbor, update if the component of the candidate is smaller DataSet<Tuple2<Long, Long>> changes = iteration.getWorkset().join(edges).where(0).equalTo(0).with(new NeighborWithComponentIDJoin()) .groupBy(0).aggregate(Aggregations.MIN, 1) .join(iteration.getSolutionSet()).where(0).equalTo(0) .with(new ComponentIdFilter()); // close the delta iteration (delta and new workset are identical) DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes); // emit result if (params.has("output")) { result.writeAsCsv(params.get("output"), "\n", " "); // execute program env.execute("Connected Components Example"); } else { System.out.println("Printing result to stdout. Use --output to specify output path."); result.print(); } }

java

public static void main(String... args) throws Exception { // Checking input parameters final ParameterTool params = ParameterTool.fromArgs(args); // set up execution environment ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); final int maxIterations = params.getInt("iterations", 10); // make parameters available in the web interface env.getConfig().setGlobalJobParameters(params); // read vertex and edge data DataSet<Long> vertices = getVertexDataSet(env, params); DataSet<Tuple2<Long, Long>> edges = getEdgeDataSet(env, params).flatMap(new UndirectEdge()); // assign the initial components (equal to the vertex id) DataSet<Tuple2<Long, Long>> verticesWithInitialId = vertices.map(new DuplicateValue<Long>()); // open a delta iteration DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration = verticesWithInitialId.iterateDelta(verticesWithInitialId, maxIterations, 0); // apply the step logic: join with the edges, select the minimum neighbor, update if the component of the candidate is smaller DataSet<Tuple2<Long, Long>> changes = iteration.getWorkset().join(edges).where(0).equalTo(0).with(new NeighborWithComponentIDJoin()) .groupBy(0).aggregate(Aggregations.MIN, 1) .join(iteration.getSolutionSet()).where(0).equalTo(0) .with(new ComponentIdFilter()); // close the delta iteration (delta and new workset are identical) DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes); // emit result if (params.has("output")) { result.writeAsCsv(params.get("output"), "\n", " "); // execute program env.execute("Connected Components Example"); } else { System.out.println("Printing result to stdout. Use --output to specify output path."); result.print(); } }

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*************************************************************************

[ "*************************************************************************" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-examples/flink-examples-batch/src/main/java/org/apache/flink/examples/java/graph/ConnectedComponents.java#L76-L119

train

Main method to run the Sequence Engine.

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looly/hutool

hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/VelocityUtil.java

VelocityUtil.toFile

public static void toFile(VelocityEngine ve, String templateFileName, VelocityContext context, String destPath) { toFile(ve.getTemplate(templateFileName), context, destPath); }

java

public static void toFile(VelocityEngine ve, String templateFileName, VelocityContext context, String destPath) { toFile(ve.getTemplate(templateFileName), context, destPath); }

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生成文件 @param ve 模板引擎 @param templateFileName 模板文件名 @param context 上下文 @param destPath 目标路径（绝对）

[ "生成文件" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/template/engine/velocity/VelocityUtil.java#L141-L143

train

Write the Velocity template to a file.

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apache/spark

sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java

HiveSessionImplwithUGI.close

@Override public void close() throws HiveSQLException { try { acquire(true); cancelDelegationToken(); } finally { try { super.close(); } finally { try { FileSystem.closeAllForUGI(sessionUgi); } catch (IOException ioe) { throw new HiveSQLException("Could not clean up file-system handles for UGI: " + sessionUgi, ioe); } } } }

java

@Override public void close() throws HiveSQLException { try { acquire(true); cancelDelegationToken(); } finally { try { super.close(); } finally { try { FileSystem.closeAllForUGI(sessionUgi); } catch (IOException ioe) { throw new HiveSQLException("Could not clean up file-system handles for UGI: " + sessionUgi, ioe); } } } }

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Close the file systems for the session and remove it from the FileSystem cache. Cancel the session's delegation token and close the metastore connection

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25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java#L102-L119

train

Close the session.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/InputGateMetrics.java

InputGateMetrics.refreshAndGetMin

int refreshAndGetMin() { int min = Integer.MAX_VALUE; Collection<InputChannel> channels = inputGate.getInputChannels().values(); for (InputChannel channel : channels) { if (channel instanceof RemoteInputChannel) { RemoteInputChannel rc = (RemoteInputChannel) channel; int size = rc.unsynchronizedGetNumberOfQueuedBuffers(); min = Math.min(min, size); } } if (min == Integer.MAX_VALUE) { // in case all channels are local, or the channel collection was empty return 0; } return min; }

java

int refreshAndGetMin() { int min = Integer.MAX_VALUE; Collection<InputChannel> channels = inputGate.getInputChannels().values(); for (InputChannel channel : channels) { if (channel instanceof RemoteInputChannel) { RemoteInputChannel rc = (RemoteInputChannel) channel; int size = rc.unsynchronizedGetNumberOfQueuedBuffers(); min = Math.min(min, size); } } if (min == Integer.MAX_VALUE) { // in case all channels are local, or the channel collection was empty return 0; } return min; }

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Iterates over all input channels and collects the minimum number of queued buffers in a channel in a best-effort way. @return minimum number of queued buffers per channel (<tt>0</tt> if no channels exist)

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/InputGateMetrics.java#L71-L89

train

This method is used to refresh the internal state of the input gate and return the minimum number of queued buffers in the input gate.

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netty/netty

handler/src/main/java/io/netty/handler/ssl/PemX509Certificate.java

PemX509Certificate.append

private static ByteBuf append(ByteBufAllocator allocator, boolean useDirect, X509Certificate cert, int count, ByteBuf pem) throws CertificateEncodingException { ByteBuf encoded = Unpooled.wrappedBuffer(cert.getEncoded()); try { ByteBuf base64 = SslUtils.toBase64(allocator, encoded); try { if (pem == null) { // We try to approximate the buffer's initial size. The sizes of // certificates can vary a lot so it'll be off a bit depending // on the number of elements in the array (count argument). pem = newBuffer(allocator, useDirect, (BEGIN_CERT.length + base64.readableBytes() + END_CERT.length) * count); } pem.writeBytes(BEGIN_CERT); pem.writeBytes(base64); pem.writeBytes(END_CERT); } finally { base64.release(); } } finally { encoded.release(); } return pem; }

java

private static ByteBuf append(ByteBufAllocator allocator, boolean useDirect, X509Certificate cert, int count, ByteBuf pem) throws CertificateEncodingException { ByteBuf encoded = Unpooled.wrappedBuffer(cert.getEncoded()); try { ByteBuf base64 = SslUtils.toBase64(allocator, encoded); try { if (pem == null) { // We try to approximate the buffer's initial size. The sizes of // certificates can vary a lot so it'll be off a bit depending // on the number of elements in the array (count argument). pem = newBuffer(allocator, useDirect, (BEGIN_CERT.length + base64.readableBytes() + END_CERT.length) * count); } pem.writeBytes(BEGIN_CERT); pem.writeBytes(base64); pem.writeBytes(END_CERT); } finally { base64.release(); } } finally { encoded.release(); } return pem; }

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Appends the {@link X509Certificate} value to the {@link ByteBuf} (last arg) and returns it. If the {@link ByteBuf} didn't exist yet it'll create it using the {@link ByteBufAllocator}.

[ "Appends", "the", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/PemX509Certificate.java#L123-L149

train

Append a certificate to a byte buffer.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/util/ClassLoaderUtil.java

ClassLoaderUtil.getUserCodeClassLoaderInfo

public static String getUserCodeClassLoaderInfo(ClassLoader loader) { if (loader instanceof URLClassLoader) { URLClassLoader cl = (URLClassLoader) loader; try { StringBuilder bld = new StringBuilder(); if (cl == ClassLoader.getSystemClassLoader()) { bld.append("System ClassLoader: "); } else { bld.append("URL ClassLoader:"); } for (URL url : cl.getURLs()) { bld.append("\n "); if (url == null) { bld.append("(null)"); } else if ("file".equals(url.getProtocol())) { String filePath = url.getPath(); File fileFile = new File(filePath); bld.append("file: '").append(filePath).append('\''); if (fileFile.exists()) { if (fileFile.isDirectory()) { bld.append(" (directory)"); } else { JarFile jar = null; try { jar = new JarFile(filePath); bld.append(" (valid JAR)"); } catch (Exception e) { bld.append(" (invalid JAR: ").append(e.getMessage()).append(')'); } finally { if (jar != null) { jar.close(); } } } } else { bld.append(" (missing)"); } } else { bld.append("url: ").append(url); } } return bld.toString(); } catch (Throwable t) { return "Cannot access classloader info due to an exception.\n" + ExceptionUtils.stringifyException(t); } } else { return "No user code ClassLoader"; } }

java

public static String getUserCodeClassLoaderInfo(ClassLoader loader) { if (loader instanceof URLClassLoader) { URLClassLoader cl = (URLClassLoader) loader; try { StringBuilder bld = new StringBuilder(); if (cl == ClassLoader.getSystemClassLoader()) { bld.append("System ClassLoader: "); } else { bld.append("URL ClassLoader:"); } for (URL url : cl.getURLs()) { bld.append("\n "); if (url == null) { bld.append("(null)"); } else if ("file".equals(url.getProtocol())) { String filePath = url.getPath(); File fileFile = new File(filePath); bld.append("file: '").append(filePath).append('\''); if (fileFile.exists()) { if (fileFile.isDirectory()) { bld.append(" (directory)"); } else { JarFile jar = null; try { jar = new JarFile(filePath); bld.append(" (valid JAR)"); } catch (Exception e) { bld.append(" (invalid JAR: ").append(e.getMessage()).append(')'); } finally { if (jar != null) { jar.close(); } } } } else { bld.append(" (missing)"); } } else { bld.append("url: ").append(url); } } return bld.toString(); } catch (Throwable t) { return "Cannot access classloader info due to an exception.\n" + ExceptionUtils.stringifyException(t); } } else { return "No user code ClassLoader"; } }

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Gets information about URL class loaders. The returned info string contains all URLs of the class loader. For file URLs, it contains in addition whether the referenced file exists, is a valid JAR file, or is a directory. NOTE: This method makes a best effort to provide information about the classloader, and never throws an exception. @param loader The classloader to get the info string for. @return The classloader information string.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ClassLoaderUtil.java#L45-L109

train

Get the user code classloader info.

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netty/netty

common/src/main/java/io/netty/util/internal/ThreadExecutorMap.java

ThreadExecutorMap.apply

public static ThreadFactory apply(final ThreadFactory threadFactory, final EventExecutor eventExecutor) { ObjectUtil.checkNotNull(threadFactory, "command"); ObjectUtil.checkNotNull(eventExecutor, "eventExecutor"); return new ThreadFactory() { @Override public Thread newThread(Runnable r) { return threadFactory.newThread(apply(r, eventExecutor)); } }; }

java

public static ThreadFactory apply(final ThreadFactory threadFactory, final EventExecutor eventExecutor) { ObjectUtil.checkNotNull(threadFactory, "command"); ObjectUtil.checkNotNull(eventExecutor, "eventExecutor"); return new ThreadFactory() { @Override public Thread newThread(Runnable r) { return threadFactory.newThread(apply(r, eventExecutor)); } }; }

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Decorate the given {@link ThreadFactory} and ensure {@link #currentExecutor()} will return {@code eventExecutor} when called from within the {@link Runnable} during execution.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/internal/ThreadExecutorMap.java#L86-L95

train

Create a thread factory that will create a new thread using the specified command and event executor.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/lang/Validator.java

Validator.validateGeneral

public static <T extends CharSequence> T validateGeneral(T value, String errorMsg) throws ValidateException { if (false == isGeneral(value)) { throw new ValidateException(errorMsg); } return value; }

java

public static <T extends CharSequence> T validateGeneral(T value, String errorMsg) throws ValidateException { if (false == isGeneral(value)) { throw new ValidateException(errorMsg); } return value; }

[ "public", "static", "<", "T", "extends", "CharSequence", ">", "T", "validateGeneral", "(", "T", "value", ",", "String", "errorMsg", ")", "throws", "ValidateException", "{", "if", "(", "false", "==", "isGeneral", "(", "value", ")", ")", "{", "throw", "new", "ValidateException", "(", "errorMsg", ")", ";", "}", "return", "value", ";", "}" ]

验证是否为英文字母、数字和下划线 @param <T> 字符串类型 @param value 值 @param errorMsg 验证错误的信息 @return 验证后的值 @throws ValidateException 验证异常

[ "验证是否为英文字母", "、数字和下划线" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Validator.java#L358-L363

train

Validate a string for a value.

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apache/flink

flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/SimpleConsumerThread.java

SimpleConsumerThread.requestAndSetSpecificTimeOffsetsFromKafka

private static void requestAndSetSpecificTimeOffsetsFromKafka( SimpleConsumer consumer, List<KafkaTopicPartitionState<TopicAndPartition>> partitions, long whichTime) throws IOException { Map<TopicAndPartition, PartitionOffsetRequestInfo> requestInfo = new HashMap<>(); for (KafkaTopicPartitionState<TopicAndPartition> part : partitions) { requestInfo.put(part.getKafkaPartitionHandle(), new PartitionOffsetRequestInfo(whichTime, 1)); } requestAndSetOffsetsFromKafka(consumer, partitions, requestInfo); }

java

private static void requestAndSetSpecificTimeOffsetsFromKafka( SimpleConsumer consumer, List<KafkaTopicPartitionState<TopicAndPartition>> partitions, long whichTime) throws IOException { Map<TopicAndPartition, PartitionOffsetRequestInfo> requestInfo = new HashMap<>(); for (KafkaTopicPartitionState<TopicAndPartition> part : partitions) { requestInfo.put(part.getKafkaPartitionHandle(), new PartitionOffsetRequestInfo(whichTime, 1)); } requestAndSetOffsetsFromKafka(consumer, partitions, requestInfo); }

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Request offsets before a specific time for a set of partitions, via a Kafka consumer. @param consumer The consumer connected to lead broker @param partitions The list of partitions we need offsets for @param whichTime The type of time we are requesting. -1 and -2 are special constants (See OffsetRequest)

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/SimpleConsumerThread.java#L442-L452

train

Request and set specific time offsets from Kafka.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java

JobVertex.setStrictlyCoLocatedWith

public void setStrictlyCoLocatedWith(JobVertex strictlyCoLocatedWith) { if (this.slotSharingGroup == null || this.slotSharingGroup != strictlyCoLocatedWith.slotSharingGroup) { throw new IllegalArgumentException("Strict co-location requires that both vertices are in the same slot sharing group."); } CoLocationGroup thisGroup = this.coLocationGroup; CoLocationGroup otherGroup = strictlyCoLocatedWith.coLocationGroup; if (otherGroup == null) { if (thisGroup == null) { CoLocationGroup group = new CoLocationGroup(this, strictlyCoLocatedWith); this.coLocationGroup = group; strictlyCoLocatedWith.coLocationGroup = group; } else { thisGroup.addVertex(strictlyCoLocatedWith); strictlyCoLocatedWith.coLocationGroup = thisGroup; } } else { if (thisGroup == null) { otherGroup.addVertex(this); this.coLocationGroup = otherGroup; } else { // both had yet distinct groups, we need to merge them thisGroup.mergeInto(otherGroup); } } }

java

public void setStrictlyCoLocatedWith(JobVertex strictlyCoLocatedWith) { if (this.slotSharingGroup == null || this.slotSharingGroup != strictlyCoLocatedWith.slotSharingGroup) { throw new IllegalArgumentException("Strict co-location requires that both vertices are in the same slot sharing group."); } CoLocationGroup thisGroup = this.coLocationGroup; CoLocationGroup otherGroup = strictlyCoLocatedWith.coLocationGroup; if (otherGroup == null) { if (thisGroup == null) { CoLocationGroup group = new CoLocationGroup(this, strictlyCoLocatedWith); this.coLocationGroup = group; strictlyCoLocatedWith.coLocationGroup = group; } else { thisGroup.addVertex(strictlyCoLocatedWith); strictlyCoLocatedWith.coLocationGroup = thisGroup; } } else { if (thisGroup == null) { otherGroup.addVertex(this); this.coLocationGroup = otherGroup; } else { // both had yet distinct groups, we need to merge them thisGroup.mergeInto(otherGroup); } } }

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Tells this vertex to strictly co locate its subtasks with the subtasks of the given vertex. Strict co-location implies that the n'th subtask of this vertex will run on the same parallel computing instance (TaskManager) as the n'th subtask of the given vertex. NOTE: Co-location is only possible between vertices in a slot sharing group. NOTE: This vertex must (transitively) depend on the vertex to be co-located with. That means that the respective vertex must be a (transitive) input of this vertex. @param strictlyCoLocatedWith The vertex whose subtasks to co-locate this vertex's subtasks with. @throws IllegalArgumentException Thrown, if this vertex and the vertex to co-locate with are not in a common slot sharing group. @see #setSlotSharingGroup(SlotSharingGroup)

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java#L405-L434

train

Sets the strictly - co - located with vertex.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/collection/MDAG/MDAG.java

MDAG.addStringInternal

private void addStringInternal(String str) { String prefixString = determineLongestPrefixInMDAG(str); String suffixString = str.substring(prefixString.length()); //Retrive the data related to the first confluence node (a node with two or more incoming transitions) //in the _transition path from sourceNode corresponding to prefixString. HashMap<String, Object> firstConfluenceNodeDataHashMap = getTransitionPathFirstConfluenceNodeData(sourceNode, prefixString); MDAGNode firstConfluenceNodeInPrefix = (MDAGNode) firstConfluenceNodeDataHashMap.get("confluenceNode"); Integer toFirstConfluenceNodeTransitionCharIndex = (Integer) firstConfluenceNodeDataHashMap.get("toConfluenceNodeTransitionCharIndex"); ///// //Remove the register entries of all the nodes in the prefixString _transition path up to the first confluence node //(those past the confluence node will not need to be removed since they will be cloned and unaffected by the //addition of suffixString). If there is no confluence node in prefixString, then remove the register entries in prefixString's entire _transition path removeTransitionPathRegisterEntries((toFirstConfluenceNodeTransitionCharIndex == null ? prefixString : prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex))); //If there is a confluence node in the prefix, we must duplicate the _transition path //of the prefix starting from that node, before we add suffixString (to the duplicate path). //This ensures that we do not disturb the other _transition paths containing this node. if (firstConfluenceNodeInPrefix != null) { String transitionStringOfPathToFirstConfluenceNode = prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex + 1); String transitionStringOfToBeDuplicatedPath = prefixString.substring(toFirstConfluenceNodeTransitionCharIndex + 1); cloneTransitionPath(firstConfluenceNodeInPrefix, transitionStringOfPathToFirstConfluenceNode, transitionStringOfToBeDuplicatedPath); } ///// //Add the _transition based on suffixString to the end of the (possibly duplicated) _transition path corresponding to prefixString addTransitionPath(sourceNode.transition(prefixString), suffixString); }

java

private void addStringInternal(String str) { String prefixString = determineLongestPrefixInMDAG(str); String suffixString = str.substring(prefixString.length()); //Retrive the data related to the first confluence node (a node with two or more incoming transitions) //in the _transition path from sourceNode corresponding to prefixString. HashMap<String, Object> firstConfluenceNodeDataHashMap = getTransitionPathFirstConfluenceNodeData(sourceNode, prefixString); MDAGNode firstConfluenceNodeInPrefix = (MDAGNode) firstConfluenceNodeDataHashMap.get("confluenceNode"); Integer toFirstConfluenceNodeTransitionCharIndex = (Integer) firstConfluenceNodeDataHashMap.get("toConfluenceNodeTransitionCharIndex"); ///// //Remove the register entries of all the nodes in the prefixString _transition path up to the first confluence node //(those past the confluence node will not need to be removed since they will be cloned and unaffected by the //addition of suffixString). If there is no confluence node in prefixString, then remove the register entries in prefixString's entire _transition path removeTransitionPathRegisterEntries((toFirstConfluenceNodeTransitionCharIndex == null ? prefixString : prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex))); //If there is a confluence node in the prefix, we must duplicate the _transition path //of the prefix starting from that node, before we add suffixString (to the duplicate path). //This ensures that we do not disturb the other _transition paths containing this node. if (firstConfluenceNodeInPrefix != null) { String transitionStringOfPathToFirstConfluenceNode = prefixString.substring(0, toFirstConfluenceNodeTransitionCharIndex + 1); String transitionStringOfToBeDuplicatedPath = prefixString.substring(toFirstConfluenceNodeTransitionCharIndex + 1); cloneTransitionPath(firstConfluenceNodeInPrefix, transitionStringOfPathToFirstConfluenceNode, transitionStringOfToBeDuplicatedPath); } ///// //Add the _transition based on suffixString to the end of the (possibly duplicated) _transition path corresponding to prefixString addTransitionPath(sourceNode.transition(prefixString), suffixString); }

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Adds a String to the MDAG (called by addString to do actual MDAG manipulation). @param str the String to be added to the MDAG

[ "Adds", "a", "String", "to", "the", "MDAG", "(", "called", "by", "addString", "to", "do", "actual", "MDAG", "manipulation", ")", "." ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/MDAG/MDAG.java#L682-L712

train

Add a string to the CRA

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netty/netty

handler/src/main/java/io/netty/handler/ssl/PemPrivateKey.java

PemPrivateKey.toPEM

static PemEncoded toPEM(ByteBufAllocator allocator, boolean useDirect, PrivateKey key) { // We can take a shortcut if the private key happens to be already // PEM/PKCS#8 encoded. This is the ideal case and reason why all // this exists. It allows the user to pass pre-encoded bytes straight // into OpenSSL without having to do any of the extra work. if (key instanceof PemEncoded) { return ((PemEncoded) key).retain(); } byte[] bytes = key.getEncoded(); if (bytes == null) { throw new IllegalArgumentException(key.getClass().getName() + " does not support encoding"); } return toPEM(allocator, useDirect, bytes); }

java

static PemEncoded toPEM(ByteBufAllocator allocator, boolean useDirect, PrivateKey key) { // We can take a shortcut if the private key happens to be already // PEM/PKCS#8 encoded. This is the ideal case and reason why all // this exists. It allows the user to pass pre-encoded bytes straight // into OpenSSL without having to do any of the extra work. if (key instanceof PemEncoded) { return ((PemEncoded) key).retain(); } byte[] bytes = key.getEncoded(); if (bytes == null) { throw new IllegalArgumentException(key.getClass().getName() + " does not support encoding"); } return toPEM(allocator, useDirect, bytes); }

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Creates a {@link PemEncoded} value from the {@link PrivateKey}.

[ "Creates", "a", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/PemPrivateKey.java#L54-L69

train

Returns the PEM encoded form of the passed in private key.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TimerService.java

TimerService.unregisterAllTimeouts

protected void unregisterAllTimeouts() { for (Timeout<K> timeout : timeouts.values()) { timeout.cancel(); } timeouts.clear(); }

java

protected void unregisterAllTimeouts() { for (Timeout<K> timeout : timeouts.values()) { timeout.cancel(); } timeouts.clear(); }

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Unregister all timeouts.

[ "Unregister", "all", "timeouts", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TimerService.java#L128-L133

train

Unregister all timeouts.

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apache/spark

core/src/main/java/org/apache/spark/shuffle/sort/PackedRecordPointer.java

PackedRecordPointer.packPointer

public static long packPointer(long recordPointer, int partitionId) { assert (partitionId <= MAXIMUM_PARTITION_ID); // Note that without word alignment we can address 2^27 bytes = 128 megabytes per page. // Also note that this relies on some internals of how TaskMemoryManager encodes its addresses. final long pageNumber = (recordPointer & MASK_LONG_UPPER_13_BITS) >>> 24; final long compressedAddress = pageNumber | (recordPointer & MASK_LONG_LOWER_27_BITS); return (((long) partitionId) << 40) | compressedAddress; }

java

public static long packPointer(long recordPointer, int partitionId) { assert (partitionId <= MAXIMUM_PARTITION_ID); // Note that without word alignment we can address 2^27 bytes = 128 megabytes per page. // Also note that this relies on some internals of how TaskMemoryManager encodes its addresses. final long pageNumber = (recordPointer & MASK_LONG_UPPER_13_BITS) >>> 24; final long compressedAddress = pageNumber | (recordPointer & MASK_LONG_LOWER_27_BITS); return (((long) partitionId) << 40) | compressedAddress; }

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Pack a record address and partition id into a single word. @param recordPointer a record pointer encoded by TaskMemoryManager. @param partitionId a shuffle partition id (maximum value of 2^24). @return a packed pointer that can be decoded using the {@link PackedRecordPointer} class.

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25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/shuffle/sort/PackedRecordPointer.java#L77-L84

train

Pack a record pointer

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apache/flink

flink-java/src/main/java/org/apache/flink/api/java/operators/SortPartitionOperator.java

SortPartitionOperator.sortPartition

public SortPartitionOperator<T> sortPartition(int field, Order order) { if (useKeySelector) { throw new InvalidProgramException("Expression keys cannot be appended after a KeySelector"); } ensureSortableKey(field); keys.add(new Keys.ExpressionKeys<>(field, getType())); orders.add(order); return this; }

java

public SortPartitionOperator<T> sortPartition(int field, Order order) { if (useKeySelector) { throw new InvalidProgramException("Expression keys cannot be appended after a KeySelector"); } ensureSortableKey(field); keys.add(new Keys.ExpressionKeys<>(field, getType())); orders.add(order); return this; }

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Appends an additional sort order with the specified field in the specified order to the local partition sorting of the DataSet. @param field The field index of the additional sort order of the local partition sorting. @param order The order of the additional sort order of the local partition sorting. @return The DataSet with sorted local partitions.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/SortPartitionOperator.java#L106-L116

train

Appends a sort partition to the current partition.

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looly/hutool

hutool-socket/src/main/java/cn/hutool/socket/nio/NioServer.java

NioServer.registerChannel

private void registerChannel(Selector selector, SelectableChannel channel, Operation ops) { if (channel == null) { return; } try { channel.configureBlocking(false); // 注册通道 channel.register(selector, ops.getValue()); } catch (IOException e) { throw new IORuntimeException(e); } }

java

private void registerChannel(Selector selector, SelectableChannel channel, Operation ops) { if (channel == null) { return; } try { channel.configureBlocking(false); // 注册通道 channel.register(selector, ops.getValue()); } catch (IOException e) { throw new IORuntimeException(e); } }

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注册通道到指定Selector上 @param selector Selector @param channel 通道 @param ops 注册的通道监听类型

[ "注册通道到指定Selector上" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-socket/src/main/java/cn/hutool/socket/nio/NioServer.java#L161-L173

train

Register a SelectableChannel with the SelectableChannelService.

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apache/flink

flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java

Graph.fromDataSet

public static <K, VV, EV> Graph<K, VV, EV> fromDataSet(DataSet<Vertex<K, VV>> vertices, DataSet<Edge<K, EV>> edges, ExecutionEnvironment context) { return new Graph<>(vertices, edges, context); }

java

public static <K, VV, EV> Graph<K, VV, EV> fromDataSet(DataSet<Vertex<K, VV>> vertices, DataSet<Edge<K, EV>> edges, ExecutionEnvironment context) { return new Graph<>(vertices, edges, context); }

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Creates a graph from a DataSet of vertices and a DataSet of edges. @param vertices a DataSet of vertices. @param edges a DataSet of edges. @param context the flink execution environment. @return the newly created graph.

[ "Creates", "a", "graph", "from", "a", "DataSet", "of", "vertices", "and", "a", "DataSet", "of", "edges", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L161-L165

train

Creates a graph from a DataSet of Vertex objects and a DataSet of Edge objects.

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apache/flink

flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/datastream/PythonDataStream.java

PythonDataStream.union

@SafeVarargs @SuppressWarnings("unchecked") public final PythonDataStream union(PythonDataStream... streams) { ArrayList<DataStream<PyObject>> dsList = new ArrayList<>(); for (PythonDataStream ps : streams) { dsList.add(ps.stream); } DataStream<PyObject>[] dsArray = new DataStream[dsList.size()]; return new PythonDataStream(stream.union(dsList.toArray(dsArray))); }

java

@SafeVarargs @SuppressWarnings("unchecked") public final PythonDataStream union(PythonDataStream... streams) { ArrayList<DataStream<PyObject>> dsList = new ArrayList<>(); for (PythonDataStream ps : streams) { dsList.add(ps.stream); } DataStream<PyObject>[] dsArray = new DataStream[dsList.size()]; return new PythonDataStream(stream.union(dsList.toArray(dsArray))); }

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A thin wrapper layer over {@link DataStream#union(DataStream[])}. @param streams The Python DataStreams to union output with. @return The {@link PythonDataStream}.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/datastream/PythonDataStream.java#L74-L83

train

Union the given data streams.

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looly/hutool

hutool-dfa/src/main/java/cn/hutool/dfa/WordTree.java

WordTree.addWord

public void addWord(String word) { WordTree parent = null; WordTree current = this; WordTree child; char currentChar = 0; int length = word.length(); for(int i = 0; i < length; i++){ currentChar = word.charAt(i); if(false == StopChar.isStopChar(currentChar)){//只处理合法字符 child = current.get(currentChar); if(child == null){ //无子类，新建一个子节点后存放下一个字符 child = new WordTree(); current.put(currentChar, child); } parent = current; current = child; } } if(null != parent){ parent.setEnd(currentChar); } }

java

public void addWord(String word) { WordTree parent = null; WordTree current = this; WordTree child; char currentChar = 0; int length = word.length(); for(int i = 0; i < length; i++){ currentChar = word.charAt(i); if(false == StopChar.isStopChar(currentChar)){//只处理合法字符 child = current.get(currentChar); if(child == null){ //无子类，新建一个子节点后存放下一个字符 child = new WordTree(); current.put(currentChar, child); } parent = current; current = child; } } if(null != parent){ parent.setEnd(currentChar); } }

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添加单词，使用默认类型 @param word 单词

[ "添加单词，使用默认类型" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-dfa/src/main/java/cn/hutool/dfa/WordTree.java#L73-L95

train

Add a word to the tree.

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looly/hutool

hutool-dfa/src/main/java/cn/hutool/dfa/SensitiveUtil.java

SensitiveUtil.getFindedAllSensitive

public static List<String> getFindedAllSensitive(String text, boolean isDensityMatch, boolean isGreedMatch){ return sensitiveTree.matchAll(text, -1, isDensityMatch, isGreedMatch); }

java

public static List<String> getFindedAllSensitive(String text, boolean isDensityMatch, boolean isGreedMatch){ return sensitiveTree.matchAll(text, -1, isDensityMatch, isGreedMatch); }

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查找敏感词，返回找到的所有敏感词 密集匹配原则：假如关键词有 ab,b，文本是abab，将匹配 [ab,b,ab] 贪婪匹配（最长匹配）原则：假如关键字a,ab，最长匹配将匹配[a, ab] @param text 文本 @param isDensityMatch 是否使用密集匹配原则 @param isGreedMatch 是否使用贪婪匹配（最长匹配）原则 @return 敏感词

[ "查找敏感词，返回找到的所有敏感词<br", ">", "密集匹配原则：假如关键词有", "ab", "b，文本是abab，将匹配", "[", "ab", "b", "ab", "]", "<br", ">", "贪婪匹配（最长匹配）原则：假如关键字a", "ab，最长匹配将匹配", "[", "a", "ab", "]" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-dfa/src/main/java/cn/hutool/dfa/SensitiveUtil.java#L135-L137

train

Gets the matched words in the sensitive tree.

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looly/hutool

hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java

SqlConnRunner.findIn

public List<Entity> findIn(Connection conn, String tableName, String field, Object... values) throws SQLException{ return findAll(conn, Entity.create(tableName).set(field, values)); }

java

public List<Entity> findIn(Connection conn, String tableName, String field, Object... values) throws SQLException{ return findAll(conn, Entity.create(tableName).set(field, values)); }

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根据某个字段名条件查询数据列表，返回所有字段 @param conn 数据库连接对象 @param tableName 表名 @param field 字段名 @param values 字段值列表 @return 数据对象列表 @throws SQLException SQL执行异常

[ "根据某个字段名条件查询数据列表，返回所有字段" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java#L428-L430

train

Find all entities in a table.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java

CollUtil.containsAny

public static boolean containsAny(Collection<?> coll1, Collection<?> coll2) { if (isEmpty(coll1) || isEmpty(coll2)) { return false; } if (coll1.size() < coll2.size()) { for (Object object : coll1) { if (coll2.contains(object)) { return true; } } } else { for (Object object : coll2) { if (coll1.contains(object)) { return true; } } } return false; }

java

public static boolean containsAny(Collection<?> coll1, Collection<?> coll2) { if (isEmpty(coll1) || isEmpty(coll2)) { return false; } if (coll1.size() < coll2.size()) { for (Object object : coll1) { if (coll2.contains(object)) { return true; } } } else { for (Object object : coll2) { if (coll1.contains(object)) { return true; } } } return false; }

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其中一个集合在另一个集合中是否至少包含一个元素，既是两个集合是否至少有一个共同的元素 @param coll1 集合1 @param coll2 集合2 @return 其中一个集合在另一个集合中是否至少包含一个元素 @since 2.1 @see #intersection

[ "其中一个集合在另一个集合中是否至少包含一个元素，既是两个集合是否至少有一个共同的元素" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L229-L247

train

Checks if any of the objects in the given collections is contained in any of the objects in the other collections.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/operators/DataSinkTask.java

DataSinkTask.getLogString

private String getLogString(String message) { return BatchTask.constructLogString(message, this.getEnvironment().getTaskInfo().getTaskName(), this); }

java

private String getLogString(String message) { return BatchTask.constructLogString(message, this.getEnvironment().getTaskInfo().getTaskName(), this); }

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Utility function that composes a string for logging purposes. The string includes the given message and the index of the task in its task group together with the number of tasks in the task group. @param message The main message for the log. @return The string ready for logging.

[ "Utility", "function", "that", "composes", "a", "string", "for", "logging", "purposes", ".", "The", "string", "includes", "the", "given", "message", "and", "the", "index", "of", "the", "task", "in", "its", "task", "group", "together", "with", "the", "number", "of", "tasks", "in", "the", "task", "group", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/DataSinkTask.java#L403-L405

train

Returns the log string for the given message.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobResult.java

JobResult.createFrom

public static JobResult createFrom(AccessExecutionGraph accessExecutionGraph) { final JobID jobId = accessExecutionGraph.getJobID(); final JobStatus jobStatus = accessExecutionGraph.getState(); checkArgument( jobStatus.isGloballyTerminalState(), "The job " + accessExecutionGraph.getJobName() + '(' + jobId + ") is not in a globally " + "terminal state. It is in state " + jobStatus + '.'); final JobResult.Builder builder = new JobResult.Builder(); builder.jobId(jobId); builder.applicationStatus(ApplicationStatus.fromJobStatus(accessExecutionGraph.getState())); final long netRuntime = accessExecutionGraph.getStatusTimestamp(jobStatus) - accessExecutionGraph.getStatusTimestamp(JobStatus.CREATED); // guard against clock changes final long guardedNetRuntime = Math.max(netRuntime, 0L); builder.netRuntime(guardedNetRuntime); builder.accumulatorResults(accessExecutionGraph.getAccumulatorsSerialized()); if (jobStatus != JobStatus.FINISHED) { final ErrorInfo errorInfo = accessExecutionGraph.getFailureInfo(); if (errorInfo != null) { builder.serializedThrowable(errorInfo.getException()); } } return builder.build(); }

java

public static JobResult createFrom(AccessExecutionGraph accessExecutionGraph) { final JobID jobId = accessExecutionGraph.getJobID(); final JobStatus jobStatus = accessExecutionGraph.getState(); checkArgument( jobStatus.isGloballyTerminalState(), "The job " + accessExecutionGraph.getJobName() + '(' + jobId + ") is not in a globally " + "terminal state. It is in state " + jobStatus + '.'); final JobResult.Builder builder = new JobResult.Builder(); builder.jobId(jobId); builder.applicationStatus(ApplicationStatus.fromJobStatus(accessExecutionGraph.getState())); final long netRuntime = accessExecutionGraph.getStatusTimestamp(jobStatus) - accessExecutionGraph.getStatusTimestamp(JobStatus.CREATED); // guard against clock changes final long guardedNetRuntime = Math.max(netRuntime, 0L); builder.netRuntime(guardedNetRuntime); builder.accumulatorResults(accessExecutionGraph.getAccumulatorsSerialized()); if (jobStatus != JobStatus.FINISHED) { final ErrorInfo errorInfo = accessExecutionGraph.getFailureInfo(); if (errorInfo != null) { builder.serializedThrowable(errorInfo.getException()); } } return builder.build(); }

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Creates the {@link JobResult} from the given {@link AccessExecutionGraph} which must be in a globally terminal state. @param accessExecutionGraph to create the JobResult from @return JobResult of the given AccessExecutionGraph

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobResult.java#L215-L244

train

Create a JobResult from an access execution graph.

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netty/netty

codec/src/main/java/io/netty/handler/codec/compression/Bzip2DivSufSort.java

Bzip2DivSufSort.trGetC

private int trGetC(final int isa, final int isaD, final int isaN, final int p) { return isaD + p < isaN ? SA[isaD + p] : SA[isa + ((isaD - isa + p) % (isaN - isa))]; }

java

private int trGetC(final int isa, final int isaD, final int isaN, final int p) { return isaD + p < isaN ? SA[isaD + p] : SA[isa + ((isaD - isa + p) % (isaN - isa))]; }

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/*----------------------------------------------------------------------------

[ "/", "*", "----------------------------------------------------------------------------" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/compression/Bzip2DivSufSort.java#L915-L919

train

Tr Get C.

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apache/spark

core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java

UnsafeExternalSorter.getSortedIterator

public UnsafeSorterIterator getSortedIterator() throws IOException { assert(recordComparatorSupplier != null); if (spillWriters.isEmpty()) { assert(inMemSorter != null); readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); return readingIterator; } else { final UnsafeSorterSpillMerger spillMerger = new UnsafeSorterSpillMerger( recordComparatorSupplier.get(), prefixComparator, spillWriters.size()); for (UnsafeSorterSpillWriter spillWriter : spillWriters) { spillMerger.addSpillIfNotEmpty(spillWriter.getReader(serializerManager)); } if (inMemSorter != null) { readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); spillMerger.addSpillIfNotEmpty(readingIterator); } return spillMerger.getSortedIterator(); } }

java

public UnsafeSorterIterator getSortedIterator() throws IOException { assert(recordComparatorSupplier != null); if (spillWriters.isEmpty()) { assert(inMemSorter != null); readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); return readingIterator; } else { final UnsafeSorterSpillMerger spillMerger = new UnsafeSorterSpillMerger( recordComparatorSupplier.get(), prefixComparator, spillWriters.size()); for (UnsafeSorterSpillWriter spillWriter : spillWriters) { spillMerger.addSpillIfNotEmpty(spillWriter.getReader(serializerManager)); } if (inMemSorter != null) { readingIterator = new SpillableIterator(inMemSorter.getSortedIterator()); spillMerger.addSpillIfNotEmpty(readingIterator); } return spillMerger.getSortedIterator(); } }

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Returns a sorted iterator. It is the caller's responsibility to call `cleanupResources()` after consuming this iterator.

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25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java#L465-L483

train

Get a sorted iterator for this reader.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java

TfIdf.tfs

public static <TERM> Iterable<Map<TERM, Double>> tfs(Iterable<Collection<TERM>> documents) { return tfs(documents, TfType.NATURAL); }

java

public static <TERM> Iterable<Map<TERM, Double>> tfs(Iterable<Collection<TERM>> documents) { return tfs(documents, TfType.NATURAL); }

[ "public", "static", "<", "TERM", ">", "Iterable", "<", "Map", "<", "TERM", ",", "Double", ">", ">", "tfs", "(", "Iterable", "<", "Collection", "<", "TERM", ">", ">", "documents", ")", "{", "return", "tfs", "(", "documents", ",", "TfType", ".", "NATURAL", ")", ";", "}" ]

多文档词频 @param documents 多个文档，每个文档都是一个词袋 @param <TERM> 词语类型 @return 一个包含词频的Map的列表

[ "多文档词频" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java#L118-L121

train

Returns an iterable of map of term to distance from the document to the document.

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apache/spark

common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java

UTF8String.fromAddress

public static UTF8String fromAddress(Object base, long offset, int numBytes) { return new UTF8String(base, offset, numBytes); }

java

public static UTF8String fromAddress(Object base, long offset, int numBytes) { return new UTF8String(base, offset, numBytes); }

[ "public", "static", "UTF8String", "fromAddress", "(", "Object", "base", ",", "long", "offset", ",", "int", "numBytes", ")", "{", "return", "new", "UTF8String", "(", "base", ",", "offset", ",", "numBytes", ")", ";", "}" ]

Creates an UTF8String from given address (base and offset) and length.

[ "Creates", "an", "UTF8String", "from", "given", "address", "(", "base", "and", "offset", ")", "and", "length", "." ]

25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L134-L136

train

Creates a UTF8String from a byte array of bytes starting at the given offset.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/query/KvStateRegistry.java

KvStateRegistry.unregisterKvState

public void unregisterKvState( JobID jobId, JobVertexID jobVertexId, KeyGroupRange keyGroupRange, String registrationName, KvStateID kvStateId) { KvStateEntry<?, ?, ?> entry = registeredKvStates.remove(kvStateId); if (entry != null) { entry.clear(); final KvStateRegistryListener listener = getKvStateRegistryListener(jobId); if (listener != null) { listener.notifyKvStateUnregistered( jobId, jobVertexId, keyGroupRange, registrationName); } } }

java

public void unregisterKvState( JobID jobId, JobVertexID jobVertexId, KeyGroupRange keyGroupRange, String registrationName, KvStateID kvStateId) { KvStateEntry<?, ?, ?> entry = registeredKvStates.remove(kvStateId); if (entry != null) { entry.clear(); final KvStateRegistryListener listener = getKvStateRegistryListener(jobId); if (listener != null) { listener.notifyKvStateUnregistered( jobId, jobVertexId, keyGroupRange, registrationName); } } }

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Unregisters the KvState instance identified by the given KvStateID. @param jobId JobId the KvState instance belongs to @param kvStateId KvStateID to identify the KvState instance @param keyGroupRange Key group range the KvState instance belongs to

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/query/KvStateRegistry.java#L118-L138

train

Unregister a KvState.

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