aalexchengg/code-search-net-java_variance_subset

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apache/flink	flink-java/src/main/java/org/apache/flink/api/java/operators/SortPartitionOperator.java	SortPartitionOperator.translateToDataFlow	protected org.apache.flink.api.common.operators.SingleInputOperator<?, T, ?> translateToDataFlow(Operator<T> input) { String name = "Sort at " + sortLocationName; if (useKeySelector) { return translateToDataFlowWithKeyExtractor(input, (Keys.SelectorFunctionKeys<T, ?>) keys.get(0), orders.get(0), name); } // flatten sort key positions List<Integer> allKeyPositions = new ArrayList<>(); List<Order> allOrders = new ArrayList<>(); for (int i = 0, length = keys.size(); i < length; i++) { int[] sortKeyPositions = keys.get(i).computeLogicalKeyPositions(); Order order = orders.get(i); for (int sortKeyPosition : sortKeyPositions) { allKeyPositions.add(sortKeyPosition); allOrders.add(order); } } Ordering partitionOrdering = new Ordering(); for (int i = 0, length = allKeyPositions.size(); i < length; i++) { partitionOrdering.appendOrdering(allKeyPositions.get(i), null, allOrders.get(i)); } // distinguish between partition types UnaryOperatorInformation<T, T> operatorInfo = new UnaryOperatorInformation<>(getType(), getType()); SortPartitionOperatorBase<T> noop = new SortPartitionOperatorBase<>(operatorInfo, partitionOrdering, name); noop.setInput(input); if (this.getParallelism() < 0) { // use parallelism of input if not explicitly specified noop.setParallelism(input.getParallelism()); } else { // use explicitly specified parallelism noop.setParallelism(this.getParallelism()); } return noop; }	java	protected org.apache.flink.api.common.operators.SingleInputOperator<?, T, ?> translateToDataFlow(Operator<T> input) { String name = "Sort at " + sortLocationName; if (useKeySelector) { return translateToDataFlowWithKeyExtractor(input, (Keys.SelectorFunctionKeys<T, ?>) keys.get(0), orders.get(0), name); } // flatten sort key positions List<Integer> allKeyPositions = new ArrayList<>(); List<Order> allOrders = new ArrayList<>(); for (int i = 0, length = keys.size(); i < length; i++) { int[] sortKeyPositions = keys.get(i).computeLogicalKeyPositions(); Order order = orders.get(i); for (int sortKeyPosition : sortKeyPositions) { allKeyPositions.add(sortKeyPosition); allOrders.add(order); } } Ordering partitionOrdering = new Ordering(); for (int i = 0, length = allKeyPositions.size(); i < length; i++) { partitionOrdering.appendOrdering(allKeyPositions.get(i), null, allOrders.get(i)); } // distinguish between partition types UnaryOperatorInformation<T, T> operatorInfo = new UnaryOperatorInformation<>(getType(), getType()); SortPartitionOperatorBase<T> noop = new SortPartitionOperatorBase<>(operatorInfo, partitionOrdering, name); noop.setInput(input); if (this.getParallelism() < 0) { // use parallelism of input if not explicitly specified noop.setParallelism(input.getParallelism()); } else { // use explicitly specified parallelism noop.setParallelism(this.getParallelism()); } return noop; }	[ "protected", "org", ".", "apache", ".", "flink", ".", "api", ".", "common", ".", "operators", ".", "SingleInputOperator", "<", "?", ",", "T", ",", "?", ">", "translateToDataFlow", "(", "Operator", "<", "T", ">", "input", ")", "{", "String", "name", "=", "\"Sort at \"", "+", "sortLocationName", ";", "if", "(", "useKeySelector", ")", "{", "return", "translateToDataFlowWithKeyExtractor", "(", "input", ",", "(", "Keys", ".", "SelectorFunctionKeys", "<", "T", ",", "?", ">", ")", "keys", ".", "get", "(", "0", ")", ",", "orders", ".", "get", "(", "0", ")", ",", "name", ")", ";", "}", "// flatten sort key positions", "List", "<", "Integer", ">", "allKeyPositions", "=", "new", "ArrayList", "<>", "(", ")", ";", "List", "<", "Order", ">", "allOrders", "=", "new", "ArrayList", "<>", "(", ")", ";", "for", "(", "int", "i", "=", "0", ",", "length", "=", "keys", ".", "size", "(", ")", ";", "i", "<", "length", ";", "i", "++", ")", "{", "int", "[", "]", "sortKeyPositions", "=", "keys", ".", "get", "(", "i", ")", ".", "computeLogicalKeyPositions", "(", ")", ";", "Order", "order", "=", "orders", ".", "get", "(", "i", ")", ";", "for", "(", "int", "sortKeyPosition", ":", "sortKeyPositions", ")", "{", "allKeyPositions", ".", "add", "(", "sortKeyPosition", ")", ";", "allOrders", ".", "add", "(", "order", ")", ";", "}", "}", "Ordering", "partitionOrdering", "=", "new", "Ordering", "(", ")", ";", "for", "(", "int", "i", "=", "0", ",", "length", "=", "allKeyPositions", ".", "size", "(", ")", ";", "i", "<", "length", ";", "i", "++", ")", "{", "partitionOrdering", ".", "appendOrdering", "(", "allKeyPositions", ".", "get", "(", "i", ")", ",", "null", ",", "allOrders", ".", "get", "(", "i", ")", ")", ";", "}", "// distinguish between partition types", "UnaryOperatorInformation", "<", "T", ",", "T", ">", "operatorInfo", "=", "new", "UnaryOperatorInformation", "<>", "(", "getType", "(", ")", ",", "getType", "(", ")", ")", ";", "SortPartitionOperatorBase", "<", "T", ">", "noop", "=", "new", "SortPartitionOperatorBase", "<>", "(", "operatorInfo", ",", "partitionOrdering", ",", "name", ")", ";", "noop", ".", "setInput", "(", "input", ")", ";", "if", "(", "this", ".", "getParallelism", "(", ")", "<", "0", ")", "{", "// use parallelism of input if not explicitly specified", "noop", ".", "setParallelism", "(", "input", ".", "getParallelism", "(", ")", ")", ";", "}", "else", "{", "// use explicitly specified parallelism", "noop", ".", "setParallelism", "(", "this", ".", "getParallelism", "(", ")", ")", ";", "}", "return", "noop", ";", "}" ]	--------------------------------------------------------------------------------------------	[ "--------------------------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/SortPartitionOperator.java#L165-L205	train	Translate the input operator to a data flow.	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spring-projects/spring-boot	spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/context/ServletWebServerApplicationContext.java	ServletWebServerApplicationContext.postProcessBeanFactory	@Override protected void postProcessBeanFactory(ConfigurableListableBeanFactory beanFactory) { beanFactory.addBeanPostProcessor( new WebApplicationContextServletContextAwareProcessor(this)); beanFactory.ignoreDependencyInterface(ServletContextAware.class); registerWebApplicationScopes(); }	java	@Override protected void postProcessBeanFactory(ConfigurableListableBeanFactory beanFactory) { beanFactory.addBeanPostProcessor( new WebApplicationContextServletContextAwareProcessor(this)); beanFactory.ignoreDependencyInterface(ServletContextAware.class); registerWebApplicationScopes(); }	[ "@", "Override", "protected", "void", "postProcessBeanFactory", "(", "ConfigurableListableBeanFactory", "beanFactory", ")", "{", "beanFactory", ".", "addBeanPostProcessor", "(", "new", "WebApplicationContextServletContextAwareProcessor", "(", "this", ")", ")", ";", "beanFactory", ".", "ignoreDependencyInterface", "(", "ServletContextAware", ".", "class", ")", ";", "registerWebApplicationScopes", "(", ")", ";", "}" ]	Register ServletContextAwareProcessor. @see ServletContextAwareProcessor	[ "Register", "ServletContextAwareProcessor", "." ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/context/ServletWebServerApplicationContext.java#L131-L137	train	Add a post processor to the bean factory.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java	DateUtil.weekCount	public static int weekCount(Date start, Date end) { final Calendar startCalendar = Calendar.getInstance(); startCalendar.setTime(start); final Calendar endCalendar = Calendar.getInstance(); endCalendar.setTime(end); final int startWeekofYear = startCalendar.get(Calendar.WEEK_OF_YEAR); final int endWeekofYear = endCalendar.get(Calendar.WEEK_OF_YEAR); int count = endWeekofYear - startWeekofYear + 1; if (Calendar.SUNDAY != startCalendar.get(Calendar.DAY_OF_WEEK)) { count--; } return count; }	java	public static int weekCount(Date start, Date end) { final Calendar startCalendar = Calendar.getInstance(); startCalendar.setTime(start); final Calendar endCalendar = Calendar.getInstance(); endCalendar.setTime(end); final int startWeekofYear = startCalendar.get(Calendar.WEEK_OF_YEAR); final int endWeekofYear = endCalendar.get(Calendar.WEEK_OF_YEAR); int count = endWeekofYear - startWeekofYear + 1; if (Calendar.SUNDAY != startCalendar.get(Calendar.DAY_OF_WEEK)) { count--; } return count; }	[ "public", "static", "int", "weekCount", "(", "Date", "start", ",", "Date", "end", ")", "{", "final", "Calendar", "startCalendar", "=", "Calendar", ".", "getInstance", "(", ")", ";", "startCalendar", ".", "setTime", "(", "start", ")", ";", "final", "Calendar", "endCalendar", "=", "Calendar", ".", "getInstance", "(", ")", ";", "endCalendar", ".", "setTime", "(", "end", ")", ";", "final", "int", "startWeekofYear", "=", "startCalendar", ".", "get", "(", "Calendar", ".", "WEEK_OF_YEAR", ")", ";", "final", "int", "endWeekofYear", "=", "endCalendar", ".", "get", "(", "Calendar", ".", "WEEK_OF_YEAR", ")", ";", "int", "count", "=", "endWeekofYear", "-", "startWeekofYear", "+", "1", ";", "if", "(", "Calendar", ".", "SUNDAY", "!=", "startCalendar", ".", "get", "(", "Calendar", ".", "DAY_OF_WEEK", ")", ")", "{", "count", "--", ";", "}", "return", "count", ";", "}" ]	计算指定指定时间区间内的周数 @param start 开始时间 @param end 结束时间 @return 周数	[ "计算指定指定时间区间内的周数" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java#L1455-L1471	train	Returns the number of days between two dates.	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spring-projects/spring-boot	spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/AstUtils.java	AstUtils.subclasses	public static boolean subclasses(ClassNode node, String... types) { for (String type : types) { if (node.getSuperClass().getName().equals(type)) { return true; } } return false; }	java	public static boolean subclasses(ClassNode node, String... types) { for (String type : types) { if (node.getSuperClass().getName().equals(type)) { return true; } } return false; }	[ "public", "static", "boolean", "subclasses", "(", "ClassNode", "node", ",", "String", "...", "types", ")", "{", "for", "(", "String", "type", ":", "types", ")", "{", "if", "(", "node", ".", "getSuperClass", "(", ")", ".", "getName", "(", ")", ".", "equals", "(", "type", ")", ")", "{", "return", "true", ";", "}", "}", "return", "false", ";", "}" ]	Determine if a {@link ClassNode} subclasses any of the specified types N.B. the type names are not normally fully qualified. @param node the class to examine @param types the types that may have been sub-classed @return {@code true} if the class subclasses any of the specified types, otherwise {@code false}	[ "Determine", "if", "a", "{" ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/AstUtils.java#L123-L130	train	Checks if the class node is subclasses of the given types.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java	ArrayUtil.swap	public static int[] swap(int[] array, int index1, int index2) { if (isEmpty(array)) { throw new IllegalArgumentException("Number array must not empty !"); } int tmp = array[index1]; array[index1] = array[index2]; array[index2] = tmp; return array; }	java	public static int[] swap(int[] array, int index1, int index2) { if (isEmpty(array)) { throw new IllegalArgumentException("Number array must not empty !"); } int tmp = array[index1]; array[index1] = array[index2]; array[index2] = tmp; return array; }	[ "public", "static", "int", "[", "]", "swap", "(", "int", "[", "]", "array", ",", "int", "index1", ",", "int", "index2", ")", "{", "if", "(", "isEmpty", "(", "array", ")", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"Number array must not empty !\"", ")", ";", "}", "int", "tmp", "=", "array", "[", "index1", "]", ";", "array", "[", "index1", "]", "=", "array", "[", "index2", "]", ";", "array", "[", "index2", "]", "=", "tmp", ";", "return", "array", ";", "}" ]	交换数组中两个位置的值 @param array 数组 @param index1 位置1 @param index2 位置2 @return 交换后的数组，与传入数组为同一对象 @since 4.0.7	[ "交换数组中两个位置的值" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L3590-L3598	train	Swaps the elements of an int array at the specified positions.	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apache/flink	flink-streaming-java/src/main/java/org/apache/flink/streaming/api/transformations/FeedbackTransformation.java	FeedbackTransformation.addFeedbackEdge	public void addFeedbackEdge(StreamTransformation<T> transform) { if (transform.getParallelism() != this.getParallelism()) { throw new UnsupportedOperationException( "Parallelism of the feedback stream must match the parallelism of the original" + " stream. Parallelism of original stream: " + this.getParallelism() + "; parallelism of feedback stream: " + transform.getParallelism() + ". Parallelism can be modified using DataStream#setParallelism() method"); } feedbackEdges.add(transform); }	java	public void addFeedbackEdge(StreamTransformation<T> transform) { if (transform.getParallelism() != this.getParallelism()) { throw new UnsupportedOperationException( "Parallelism of the feedback stream must match the parallelism of the original" + " stream. Parallelism of original stream: " + this.getParallelism() + "; parallelism of feedback stream: " + transform.getParallelism() + ". Parallelism can be modified using DataStream#setParallelism() method"); } feedbackEdges.add(transform); }	[ "public", "void", "addFeedbackEdge", "(", "StreamTransformation", "<", "T", ">", "transform", ")", "{", "if", "(", "transform", ".", "getParallelism", "(", ")", "!=", "this", ".", "getParallelism", "(", ")", ")", "{", "throw", "new", "UnsupportedOperationException", "(", "\"Parallelism of the feedback stream must match the parallelism of the original\"", "+", "\" stream. Parallelism of original stream: \"", "+", "this", ".", "getParallelism", "(", ")", "+", "\"; parallelism of feedback stream: \"", "+", "transform", ".", "getParallelism", "(", ")", "+", "\". Parallelism can be modified using DataStream#setParallelism() method\"", ")", ";", "}", "feedbackEdges", ".", "add", "(", "transform", ")", ";", "}" ]	Adds a feedback edge. The parallelism of the {@code StreamTransformation} must match the parallelism of the input {@code StreamTransformation} of this {@code FeedbackTransformation} @param transform The new feedback {@code StreamTransformation}.	[ "Adds", "a", "feedback", "edge", ".", "The", "parallelism", "of", "the", "{", "@code", "StreamTransformation", "}", "must", "match", "the", "parallelism", "of", "the", "input", "{", "@code", "StreamTransformation", "}", "of", "this", "{", "@code", "FeedbackTransformation", "}" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/transformations/FeedbackTransformation.java#L84-L95	train	Adds a feedback edge to this data stream.	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apache/flink	flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnIntraNonHaMasterServices.java	YarnIntraNonHaMasterServices.close	@Override public void close() throws Exception { if (enterUnlessClosed()) { try { try { // this class' own cleanup logic resourceManagerLeaderElectionService.shutdown(); dispatcher.shutdownNow(); } finally { // in any case must we call the parent cleanup logic super.close(); } } finally { exit(); } } }	java	@Override public void close() throws Exception { if (enterUnlessClosed()) { try { try { // this class' own cleanup logic resourceManagerLeaderElectionService.shutdown(); dispatcher.shutdownNow(); } finally { // in any case must we call the parent cleanup logic super.close(); } } finally { exit(); } } }	[ "@", "Override", "public", "void", "close", "(", ")", "throws", "Exception", "{", "if", "(", "enterUnlessClosed", "(", ")", ")", "{", "try", "{", "try", "{", "// this class' own cleanup logic", "resourceManagerLeaderElectionService", ".", "shutdown", "(", ")", ";", "dispatcher", ".", "shutdownNow", "(", ")", ";", "}", "finally", "{", "// in any case must we call the parent cleanup logic", "super", ".", "close", "(", ")", ";", "}", "}", "finally", "{", "exit", "(", ")", ";", "}", "}", "}" ]	------------------------------------------------------------------------	[ "------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnIntraNonHaMasterServices.java#L227-L245	train	Close the connection.	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looly/hutool	hutool-extra/src/main/java/cn/hutool/extra/template/engine/thymeleaf/ThymeleafTemplate.java	ThymeleafTemplate.wrap	public static ThymeleafTemplate wrap(TemplateEngine engine, String template, Charset charset) { return (null == engine) ? null : new ThymeleafTemplate(engine, template, charset); }	java	public static ThymeleafTemplate wrap(TemplateEngine engine, String template, Charset charset) { return (null == engine) ? null : new ThymeleafTemplate(engine, template, charset); }	[ "public", "static", "ThymeleafTemplate", "wrap", "(", "TemplateEngine", "engine", ",", "String", "template", ",", "Charset", "charset", ")", "{", "return", "(", "null", "==", "engine", ")", "?", "null", ":", "new", "ThymeleafTemplate", "(", "engine", ",", "template", ",", "charset", ")", ";", "}" ]	包装Thymeleaf模板 @param engine Thymeleaf的模板引擎对象 {@link TemplateEngine} @param template 模板路径或模板内容 @param charset 编码 @return {@link ThymeleafTemplate}	[ "包装Thymeleaf模板" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/template/engine/thymeleaf/ThymeleafTemplate.java#L41-L43	train	Wrap a template in a ThymeleafTemplate.	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apache/flink	flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java	Graph.joinWithEdgesOnSource	public <T> Graph<K, VV, EV> joinWithEdgesOnSource(DataSet<Tuple2<K, T>> inputDataSet, final EdgeJoinFunction<EV, T> edgeJoinFunction) { DataSet<Edge<K, EV>> resultedEdges = this.getEdges() .coGroup(inputDataSet).where(0).equalTo(0) .with(new ApplyCoGroupToEdgeValuesOnEitherSourceOrTarget<>(edgeJoinFunction)) .name("Join with edges on source"); return new Graph<>(this.vertices, resultedEdges, this.context); }	java	public <T> Graph<K, VV, EV> joinWithEdgesOnSource(DataSet<Tuple2<K, T>> inputDataSet, final EdgeJoinFunction<EV, T> edgeJoinFunction) { DataSet<Edge<K, EV>> resultedEdges = this.getEdges() .coGroup(inputDataSet).where(0).equalTo(0) .with(new ApplyCoGroupToEdgeValuesOnEitherSourceOrTarget<>(edgeJoinFunction)) .name("Join with edges on source"); return new Graph<>(this.vertices, resultedEdges, this.context); }	[ "public", "<", "T", ">", "Graph", "<", "K", ",", "VV", ",", "EV", ">", "joinWithEdgesOnSource", "(", "DataSet", "<", "Tuple2", "<", "K", ",", "T", ">", ">", "inputDataSet", ",", "final", "EdgeJoinFunction", "<", "EV", ",", "T", ">", "edgeJoinFunction", ")", "{", "DataSet", "<", "Edge", "<", "K", ",", "EV", ">", ">", "resultedEdges", "=", "this", ".", "getEdges", "(", ")", ".", "coGroup", "(", "inputDataSet", ")", ".", "where", "(", "0", ")", ".", "equalTo", "(", "0", ")", ".", "with", "(", "new", "ApplyCoGroupToEdgeValuesOnEitherSourceOrTarget", "<>", "(", "edgeJoinFunction", ")", ")", ".", "name", "(", "\"Join with edges on source\"", ")", ";", "return", "new", "Graph", "<>", "(", "this", ".", "vertices", ",", "resultedEdges", ",", "this", ".", "context", ")", ";", "}" ]	Joins the edge DataSet with an input Tuple2 DataSet and applies a user-defined transformation on the values of the matched records. The source ID of the edges input and the first field of the input DataSet are used as join keys. @param inputDataSet the DataSet to join with. The first field of the Tuple2 is used as the join key and the second field is passed as a parameter to the transformation function. @param edgeJoinFunction the transformation function to apply. The first parameter is the current edge value and the second parameter is the value of the matched Tuple2 from the input DataSet. @param <T> the type of the second field of the input Tuple2 DataSet. @return a new Graph, where the edge values have been updated according to the result of the edgeJoinFunction.	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looly/hutool	hutool-http/src/main/java/cn/hutool/http/HttpConnection.java	HttpConnection.header	public HttpConnection header(Header header, String value, boolean isOverride) { return header(header.toString(), value, isOverride); }	java	public HttpConnection header(Header header, String value, boolean isOverride) { return header(header.toString(), value, isOverride); }	[ "public", "HttpConnection", "header", "(", "Header", "header", ",", "String", "value", ",", "boolean", "isOverride", ")", "{", "return", "header", "(", "header", ".", "toString", "(", ")", ",", "value", ",", "isOverride", ")", ";", "}" ]	设置请求头<br> 当请求头存在时，覆盖之 @param header 头名 @param value 头值 @param isOverride 是否覆盖旧值 @return HttpConnection	[ "设置请求头<br", ">", "当请求头存在时，覆盖之" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpConnection.java#L196-L198	train	Adds a header to the connection.	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spring-projects/spring-boot	spring-boot-project/spring-boot/src/main/java/org/springframework/boot/origin/OriginTrackedValue.java	OriginTrackedValue.of	public static OriginTrackedValue of(Object value, Origin origin) { if (value == null) { return null; } if (value instanceof CharSequence) { return new OriginTrackedCharSequence((CharSequence) value, origin); } return new OriginTrackedValue(value, origin); }	java	public static OriginTrackedValue of(Object value, Origin origin) { if (value == null) { return null; } if (value instanceof CharSequence) { return new OriginTrackedCharSequence((CharSequence) value, origin); } return new OriginTrackedValue(value, origin); }	[ "public", "static", "OriginTrackedValue", "of", "(", "Object", "value", ",", "Origin", "origin", ")", "{", "if", "(", "value", "==", "null", ")", "{", "return", "null", ";", "}", "if", "(", "value", "instanceof", "CharSequence", ")", "{", "return", "new", "OriginTrackedCharSequence", "(", "(", "CharSequence", ")", "value", ",", "origin", ")", ";", "}", "return", "new", "OriginTrackedValue", "(", "value", ",", "origin", ")", ";", "}" ]	Create an {@link OriginTrackedValue} containing the specified {@code value} and {@code origin}. If the source value implements {@link CharSequence} then so will the resulting {@link OriginTrackedValue}. @param value the source value @param origin the origin @return an {@link OriginTrackedValue} or {@code null} if the source value was {@code null}.	[ "Create", "an", "{" ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/origin/OriginTrackedValue.java#L85-L93	train	Create an OriginTrackedValue from the given value and origin.	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apache/flink	flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/util/KinesisConfigUtil.java	KinesisConfigUtil.backfillConsumerKeys	public static Properties backfillConsumerKeys(Properties configProps) { HashMap<String, String> oldKeyToNewKeys = new HashMap<>(); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_BASE, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_BASE); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_MAX, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_MAX); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_EXPONENTIAL_CONSTANT, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_EXPONENTIAL_CONSTANT); for (Map.Entry<String, String> entry : oldKeyToNewKeys.entrySet()) { String oldKey = entry.getKey(); String newKey = entry.getValue(); if (configProps.containsKey(oldKey)) { configProps.setProperty(newKey, configProps.getProperty(oldKey)); // Do not remove the oldKey since they may be used in the context of talking to DynamoDB streams } } return configProps; }	java	public static Properties backfillConsumerKeys(Properties configProps) { HashMap<String, String> oldKeyToNewKeys = new HashMap<>(); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_BASE, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_BASE); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_MAX, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_MAX); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_EXPONENTIAL_CONSTANT, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_EXPONENTIAL_CONSTANT); for (Map.Entry<String, String> entry : oldKeyToNewKeys.entrySet()) { String oldKey = entry.getKey(); String newKey = entry.getValue(); if (configProps.containsKey(oldKey)) { configProps.setProperty(newKey, configProps.getProperty(oldKey)); // Do not remove the oldKey since they may be used in the context of talking to DynamoDB streams } } return configProps; }	[ "public", "static", "Properties", "backfillConsumerKeys", "(", "Properties", "configProps", ")", "{", "HashMap", "<", "String", ",", "String", ">", "oldKeyToNewKeys", "=", "new", "HashMap", "<>", "(", ")", ";", "oldKeyToNewKeys", ".", "put", "(", "ConsumerConfigConstants", ".", "STREAM_DESCRIBE_BACKOFF_BASE", ",", "ConsumerConfigConstants", ".", "LIST_SHARDS_BACKOFF_BASE", ")", ";", "oldKeyToNewKeys", ".", "put", "(", "ConsumerConfigConstants", ".", "STREAM_DESCRIBE_BACKOFF_MAX", ",", "ConsumerConfigConstants", ".", "LIST_SHARDS_BACKOFF_MAX", ")", ";", "oldKeyToNewKeys", ".", "put", "(", "ConsumerConfigConstants", ".", "STREAM_DESCRIBE_BACKOFF_EXPONENTIAL_CONSTANT", ",", "ConsumerConfigConstants", ".", "LIST_SHARDS_BACKOFF_EXPONENTIAL_CONSTANT", ")", ";", "for", "(", "Map", ".", "Entry", "<", "String", ",", "String", ">", "entry", ":", "oldKeyToNewKeys", ".", "entrySet", "(", ")", ")", "{", "String", "oldKey", "=", "entry", ".", "getKey", "(", ")", ";", "String", "newKey", "=", "entry", ".", "getValue", "(", ")", ";", "if", "(", "configProps", ".", "containsKey", "(", "oldKey", ")", ")", "{", "configProps", ".", "setProperty", "(", "newKey", ",", "configProps", ".", "getProperty", "(", "oldKey", ")", ")", ";", "// Do not remove the oldKey since they may be used in the context of talking to DynamoDB streams", "}", "}", "return", "configProps", ";", "}" ]	<p> A set of configuration paremeters associated with the describeStreams API may be used if: 1) an legacy client wants to consume from Kinesis 2) a current client wants to consumer from DynamoDB streams In the context of 1), the set of configurations needs to be translated to the corresponding configurations in the Kinesis listShards API. 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netty/netty	codec-http2/src/main/java/io/netty/handler/codec/http2/Http2ConnectionHandler.java	Http2ConnectionHandler.handleServerHeaderDecodeSizeError	protected void handleServerHeaderDecodeSizeError(ChannelHandlerContext ctx, Http2Stream stream) { encoder().writeHeaders(ctx, stream.id(), HEADERS_TOO_LARGE_HEADERS, 0, true, ctx.newPromise()); }	java	protected void handleServerHeaderDecodeSizeError(ChannelHandlerContext ctx, Http2Stream stream) { encoder().writeHeaders(ctx, stream.id(), HEADERS_TOO_LARGE_HEADERS, 0, true, ctx.newPromise()); }	[ "protected", "void", "handleServerHeaderDecodeSizeError", "(", "ChannelHandlerContext", "ctx", ",", "Http2Stream", "stream", ")", "{", "encoder", "(", ")", ".", "writeHeaders", "(", "ctx", ",", "stream", ".", "id", "(", ")", ",", "HEADERS_TOO_LARGE_HEADERS", ",", "0", ",", "true", ",", "ctx", ".", "newPromise", "(", ")", ")", ";", "}" ]	Notifies client that this server has received headers that are larger than what it is willing to accept. Override to change behavior. @param ctx the channel context @param stream the Http2Stream on which the header was received	[ "Notifies", "client", "that", "this", "server", "has", "received", "headers", "that", "are", "larger", "than", "what", "it", "is", "willing", "to", "accept", ".", "Override", "to", "change", "behavior", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/Http2ConnectionHandler.java#L732-L734	train	Handle server header decode size error.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java	MapUtil.get	public static <T> T get(Map<?, ?> map, Object key, Class<T> type) { return null == map ? null : Convert.convert(type, map.get(key)); }	java	public static <T> T get(Map<?, ?> map, Object key, Class<T> type) { return null == map ? null : Convert.convert(type, map.get(key)); }	[ "public", "static", "<", "T", ">", "T", "get", "(", "Map", "<", "?", ",", "?", ">", "map", ",", "Object", "key", ",", "Class", "<", "T", ">", "type", ")", "{", "return", "null", "==", "map", "?", "null", ":", "Convert", ".", "convert", "(", "type", ",", "map", ".", "get", "(", "key", ")", ")", ";", "}" ]	获取Map指定key的值，并转换为指定类型 @param <T> 目标值类型 @param map Map @param key 键 @param type 值类型 @return 值 @since 4.0.6	[ "获取Map指定key的值，并转换为指定类型" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L866-L868	train	Get the value of the given key from the map.	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netty/netty	codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java	HttpConversionUtil.toHttp2Headers	public static Http2Headers toHttp2Headers(HttpMessage in, boolean validateHeaders) { HttpHeaders inHeaders = in.headers(); final Http2Headers out = new DefaultHttp2Headers(validateHeaders, inHeaders.size()); if (in instanceof HttpRequest) { HttpRequest request = (HttpRequest) in; URI requestTargetUri = URI.create(request.uri()); out.path(toHttp2Path(requestTargetUri)); out.method(request.method().asciiName()); setHttp2Scheme(inHeaders, requestTargetUri, out); if (!isOriginForm(requestTargetUri) && !isAsteriskForm(requestTargetUri)) { // Attempt to take from HOST header before taking from the request-line String host = inHeaders.getAsString(HttpHeaderNames.HOST); setHttp2Authority((host == null \|\| host.isEmpty()) ? requestTargetUri.getAuthority() : host, out); } } else if (in instanceof HttpResponse) { HttpResponse response = (HttpResponse) in; out.status(response.status().codeAsText()); } // Add the HTTP headers which have not been consumed above toHttp2Headers(inHeaders, out); return out; }	java	public static Http2Headers toHttp2Headers(HttpMessage in, boolean validateHeaders) { HttpHeaders inHeaders = in.headers(); final Http2Headers out = new DefaultHttp2Headers(validateHeaders, inHeaders.size()); if (in instanceof HttpRequest) { HttpRequest request = (HttpRequest) in; URI requestTargetUri = URI.create(request.uri()); out.path(toHttp2Path(requestTargetUri)); out.method(request.method().asciiName()); setHttp2Scheme(inHeaders, requestTargetUri, out); if (!isOriginForm(requestTargetUri) && !isAsteriskForm(requestTargetUri)) { // Attempt to take from HOST header before taking from the request-line String host = inHeaders.getAsString(HttpHeaderNames.HOST); setHttp2Authority((host == null \|\| host.isEmpty()) ? requestTargetUri.getAuthority() : host, out); } } else if (in instanceof HttpResponse) { HttpResponse response = (HttpResponse) in; out.status(response.status().codeAsText()); } // Add the HTTP headers which have not been consumed above toHttp2Headers(inHeaders, out); return out; }	[ "public", "static", "Http2Headers", "toHttp2Headers", "(", "HttpMessage", "in", ",", "boolean", "validateHeaders", ")", "{", "HttpHeaders", "inHeaders", "=", "in", ".", "headers", "(", ")", ";", "final", "Http2Headers", "out", "=", "new", "DefaultHttp2Headers", "(", "validateHeaders", ",", "inHeaders", ".", "size", "(", ")", ")", ";", "if", "(", "in", "instanceof", "HttpRequest", ")", "{", "HttpRequest", "request", "=", "(", "HttpRequest", ")", "in", ";", "URI", "requestTargetUri", "=", "URI", ".", "create", "(", "request", ".", "uri", "(", ")", ")", ";", "out", ".", "path", "(", "toHttp2Path", "(", "requestTargetUri", ")", ")", ";", "out", ".", "method", "(", "request", ".", "method", "(", ")", ".", "asciiName", "(", ")", ")", ";", "setHttp2Scheme", "(", "inHeaders", ",", "requestTargetUri", ",", "out", ")", ";", "if", "(", "!", "isOriginForm", "(", "requestTargetUri", ")", "&&", "!", "isAsteriskForm", "(", "requestTargetUri", ")", ")", "{", "// Attempt to take from HOST header before taking from the request-line", "String", "host", "=", "inHeaders", ".", "getAsString", "(", "HttpHeaderNames", ".", "HOST", ")", ";", "setHttp2Authority", "(", "(", "host", "==", "null", "\|\|", "host", ".", "isEmpty", "(", ")", ")", "?", "requestTargetUri", ".", "getAuthority", "(", ")", ":", "host", ",", "out", ")", ";", "}", "}", "else", "if", "(", "in", "instanceof", "HttpResponse", ")", "{", "HttpResponse", "response", "=", "(", "HttpResponse", ")", "in", ";", "out", ".", "status", "(", "response", ".", "status", "(", ")", ".", "codeAsText", "(", ")", ")", ";", "}", "// Add the HTTP headers which have not been consumed above", "toHttp2Headers", "(", "inHeaders", ",", "out", ")", ";", "return", "out", ";", "}" ]	Converts the given HTTP/1.x headers into HTTP/2 headers. The following headers are only used if they can not be found in from the {@code HOST} header or the {@code Request-Line} as defined by <a href="https://tools.ietf.org/html/rfc7230">rfc7230</a> <ul> <li>{@link ExtensionHeaderNames#SCHEME}</li> </ul> {@link ExtensionHeaderNames#PATH} is ignored and instead extracted from the {@code Request-Line}.	[ "Converts", "the", "given", "HTTP", "/", "1", ".", "x", "headers", "into", "HTTP", "/", "2", "headers", ".", "The", "following", "headers", "are", "only", "used", "if", "they", "can", "not", "be", "found", "in", "from", "the", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java#L389-L412	train	Converts a message to a Http2Headers object.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/corpus/dictionary/CommonDictionaryMaker.java	CommonDictionaryMaker.train	public void train(String corpus) { CorpusLoader.walk(corpus, new CorpusLoader.Handler() { @Override public void handle(Document document) { List<List<Word>> simpleSentenceList = document.getSimpleSentenceList(); List<List<IWord>> compatibleList = new LinkedList<List<IWord>>(); for (List<Word> wordList : simpleSentenceList) { compatibleList.add(new LinkedList<IWord>(wordList)); } CommonDictionaryMaker.this.compute(compatibleList); } }); }	java	public void train(String corpus) { CorpusLoader.walk(corpus, new CorpusLoader.Handler() { @Override public void handle(Document document) { List<List<Word>> simpleSentenceList = document.getSimpleSentenceList(); List<List<IWord>> compatibleList = new LinkedList<List<IWord>>(); for (List<Word> wordList : simpleSentenceList) { compatibleList.add(new LinkedList<IWord>(wordList)); } CommonDictionaryMaker.this.compute(compatibleList); } 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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/JobVertexBackPressureHandler.java	JobVertexBackPressureHandler.getBackPressureLevel	private static JobVertexBackPressureInfo.VertexBackPressureLevel getBackPressureLevel(double backPressureRatio) { if (backPressureRatio <= 0.10) { return JobVertexBackPressureInfo.VertexBackPressureLevel.OK; } else if (backPressureRatio <= 0.5) { return JobVertexBackPressureInfo.VertexBackPressureLevel.LOW; } else { return JobVertexBackPressureInfo.VertexBackPressureLevel.HIGH; } }	java	private static JobVertexBackPressureInfo.VertexBackPressureLevel getBackPressureLevel(double backPressureRatio) { if (backPressureRatio <= 0.10) { return JobVertexBackPressureInfo.VertexBackPressureLevel.OK; } else if (backPressureRatio <= 0.5) { return JobVertexBackPressureInfo.VertexBackPressureLevel.LOW; } else { return JobVertexBackPressureInfo.VertexBackPressureLevel.HIGH; } }	[ "private", "static", "JobVertexBackPressureInfo", ".", "VertexBackPressureLevel", "getBackPressureLevel", "(", "double", "backPressureRatio", ")", "{", "if", "(", "backPressureRatio", "<=", "0.10", ")", "{", "return", "JobVertexBackPressureInfo", ".", "VertexBackPressureLevel", ".", "OK", ";", "}", "else", "if", "(", "backPressureRatio", "<=", "0.5", ")", "{", "return", "JobVertexBackPressureInfo", ".", "VertexBackPressureLevel", ".", "LOW", ";", "}", "else", "{", "return", "JobVertexBackPressureInfo", ".", "VertexBackPressureLevel", ".", "HIGH", ";", "}", "}" ]	Returns the back pressure level as a String. @param backPressureRatio Ratio of back pressures samples to total number of samples. @return Back pressure level ('ok', 'low', or 'high')	[ "Returns", "the", "back", "pressure", "level", "as", "a", "String", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/JobVertexBackPressureHandler.java#L96-L104	train	Get the back pressure level.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/text/csv/CsvParser.java	CsvParser.nextRow	public CsvRow nextRow() throws IORuntimeException { long startingLineNo; List<String> currentFields; int fieldCount; while (false == finished) { startingLineNo = ++lineNo; currentFields = readLine(); if(null == currentFields) { break; } fieldCount = currentFields.size(); // 末尾 if (fieldCount == 0) { break; } // 跳过空行 if (config.skipEmptyRows && fieldCount == 1 && currentFields.get(0).isEmpty()) { continue; } // 检查每行的字段数是否一致 if (config.errorOnDifferentFieldCount) { if (firstLineFieldCount == -1) { firstLineFieldCount = fieldCount; } else if (fieldCount != firstLineFieldCount) { throw new IORuntimeException(String.format("Line %d has %d fields, but first line has %d fields", lineNo, fieldCount, firstLineFieldCount)); } } // 记录最大字段数 if (fieldCount > maxFieldCount) { maxFieldCount = fieldCount; } //初始化标题 if (config.containsHeader && null == header) { initHeader(currentFields); // 作为标题行后，此行跳过，下一行做为第一行 continue; } return new CsvRow(startingLineNo, null == header ? null : header.headerMap, currentFields); } return null; }	java	public CsvRow nextRow() throws IORuntimeException { long startingLineNo; List<String> currentFields; int fieldCount; while (false == finished) { startingLineNo = ++lineNo; currentFields = readLine(); if(null == currentFields) { break; } fieldCount = currentFields.size(); // 末尾 if (fieldCount == 0) { break; } // 跳过空行 if (config.skipEmptyRows && fieldCount == 1 && currentFields.get(0).isEmpty()) { continue; } // 检查每行的字段数是否一致 if (config.errorOnDifferentFieldCount) { if (firstLineFieldCount == -1) { firstLineFieldCount = fieldCount; } else if (fieldCount != firstLineFieldCount) { throw new IORuntimeException(String.format("Line %d has %d fields, but first line has %d fields", lineNo, fieldCount, firstLineFieldCount)); } } // 记录最大字段数 if (fieldCount > maxFieldCount) { maxFieldCount = fieldCount; } //初始化标题 if (config.containsHeader && null == header) { initHeader(currentFields); // 作为标题行后，此行跳过，下一行做为第一行 continue; } return new CsvRow(startingLineNo, null == header ? null : header.headerMap, currentFields); } return null; }	[ "public", "CsvRow", "nextRow", "(", ")", "throws", "IORuntimeException", "{", "long", "startingLineNo", ";", "List", "<", "String", ">", "currentFields", ";", "int", "fieldCount", ";", "while", "(", "false", "==", "finished", ")", "{", "startingLineNo", "=", "++", "lineNo", ";", "currentFields", "=", "readLine", "(", ")", ";", "if", "(", "null", "==", "currentFields", ")", "{", "break", ";", "}", "fieldCount", "=", "currentFields", ".", "size", "(", ")", ";", "// 末尾", "if", "(", "fieldCount", "==", "0", ")", "{", "break", ";", "}", "// 跳过空行", "if", "(", "config", ".", "skipEmptyRows", "&&", "fieldCount", "==", "1", "&&", "currentFields", ".", "get", "(", "0", ")", ".", "isEmpty", "(", ")", ")", "{", "continue", ";", "}", "// 检查每行的字段数是否一致", "if", "(", "config", ".", "errorOnDifferentFieldCount", ")", "{", "if", "(", "firstLineFieldCount", "==", "-", "1", ")", "{", "firstLineFieldCount", "=", "fieldCount", ";", "}", "else", "if", "(", "fieldCount", "!=", "firstLineFieldCount", ")", "{", "throw", "new", "IORuntimeException", "(", "String", ".", "format", "(", "\"Line %d has %d fields, but first line has %d fields\"", ",", "lineNo", ",", "fieldCount", ",", "firstLineFieldCount", ")", ")", ";", "}", "}", "// 记录最大字段数", "if", "(", "fieldCount", ">", "maxFieldCount", ")", "{", "maxFieldCount", "=", "fieldCount", ";", "}", "//初始化标题", "if", "(", "config", ".", "containsHeader", "&&", "null", "==", "header", ")", "{", "initHeader", "(", "currentFields", ")", ";", "// 作为标题行后，此行跳过，下一行做为第一行", "continue", ";", "}", "return", "new", "CsvRow", "(", "startingLineNo", ",", "null", "==", "header", "?", "null", ":", "header", ".", "headerMap", ",", "currentFields", ")", ";", "}", "return", "null", ";", "}" ]	读取下一行数据 @return CsvRow @throws IORuntimeException IO读取异常	[ "读取下一行数据" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/text/csv/CsvParser.java#L90-L136	train	Returns the next row.	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apache/flink	flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java	CsvReader.lineDelimiter	public CsvReader lineDelimiter(String delimiter) { if (delimiter == null \|\| delimiter.length() == 0) { throw new IllegalArgumentException("The delimiter must not be null or an empty string"); } this.lineDelimiter = delimiter; return this; }	java	public CsvReader lineDelimiter(String delimiter) { if (delimiter == null \|\| delimiter.length() == 0) { throw new IllegalArgumentException("The delimiter must not be null or an empty string"); } this.lineDelimiter = delimiter; return this; }	[ "public", "CsvReader", "lineDelimiter", "(", "String", "delimiter", ")", "{", "if", "(", "delimiter", "==", "null", "\|\|", "delimiter", ".", "length", "(", ")", "==", "0", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"The delimiter must not be null or an empty string\"", ")", ";", "}", "this", ".", "lineDelimiter", "=", "delimiter", ";", "return", "this", ";", "}" ]	Configures the delimiter that separates the lines/rows. The linebreak character ({@code '\n'}) is used by default. @param delimiter The delimiter that separates the rows. @return The CSV reader instance itself, to allow for fluent function chaining.	[ "Configures", "the", "delimiter", "that", "separates", "the", "lines", "/", "rows", ".", "The", "linebreak", "character", "(", "{", "@code", "\\", "n", "}", ")", "is", "used", "by", "default", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java#L97-L104	train	Sets the delimiter used to read the line.	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netty/netty	common/src/main/java/io/netty/util/ReferenceCountUtil.java	ReferenceCountUtil.touch	@SuppressWarnings("unchecked") public static <T> T touch(T msg) { if (msg instanceof ReferenceCounted) { return (T) ((ReferenceCounted) msg).touch(); } return msg; }	java	@SuppressWarnings("unchecked") public static <T> T touch(T msg) { if (msg instanceof ReferenceCounted) { return (T) ((ReferenceCounted) msg).touch(); } return msg; }	[ "@", "SuppressWarnings", "(", "\"unchecked\"", ")", "public", "static", "<", "T", ">", "T", "touch", "(", "T", "msg", ")", "{", "if", "(", "msg", "instanceof", "ReferenceCounted", ")", "{", "return", "(", "T", ")", "(", "(", "ReferenceCounted", ")", "msg", ")", ".", "touch", "(", ")", ";", "}", "return", "msg", ";", "}" ]	Tries to call {@link ReferenceCounted#touch()} if the specified message implements {@link ReferenceCounted}. If the specified message doesn't implement {@link ReferenceCounted}, this method does nothing.	[ "Tries", "to", "call", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/ReferenceCountUtil.java#L61-L67	train	touch a message.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java	ImgUtil.cut	public static void cut(Image srcImage, File destFile, Rectangle rectangle) throws IORuntimeException { write(cut(srcImage, rectangle), destFile); }	java	public static void cut(Image srcImage, File destFile, Rectangle rectangle) throws IORuntimeException { write(cut(srcImage, rectangle), destFile); }	[ "public", "static", "void", "cut", "(", "Image", "srcImage", ",", "File", "destFile", ",", "Rectangle", "rectangle", ")", "throws", "IORuntimeException", "{", "write", "(", "cut", "(", "srcImage", ",", "rectangle", ")", ",", "destFile", ")", ";", "}" ]	图像切割(按指定起点坐标和宽高切割)，此方法并不关闭流 @param srcImage 源图像 @param destFile 输出的文件 @param rectangle 矩形对象，表示矩形区域的x，y，width，height @since 3.2.2 @throws IORuntimeException IO异常	[ "图像切割", "(", "按指定起点坐标和宽高切割", ")", "，此方法并不关闭流" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L293-L295	train	Cut the image from srcImage to destFile using the specified rectangle.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/img/Img.java	Img.cut	public Img cut(Rectangle rectangle) { final BufferedImage srcImage = getValidSrcImg(); rectangle = fixRectangle(rectangle, srcImage.getWidth(), srcImage.getHeight()); final ImageFilter cropFilter = new CropImageFilter(rectangle.x, rectangle.y, rectangle.width, rectangle.height); final Image image = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(srcImage.getSource(), cropFilter)); this.targetImage = ImgUtil.toBufferedImage(image); return this; }	java	public Img cut(Rectangle rectangle) { final BufferedImage srcImage = getValidSrcImg(); rectangle = fixRectangle(rectangle, srcImage.getWidth(), srcImage.getHeight()); final ImageFilter cropFilter = new CropImageFilter(rectangle.x, rectangle.y, rectangle.width, rectangle.height); final Image image = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(srcImage.getSource(), cropFilter)); this.targetImage = ImgUtil.toBufferedImage(image); return this; }	[ "public", "Img", "cut", "(", "Rectangle", "rectangle", ")", "{", "final", "BufferedImage", "srcImage", "=", "getValidSrcImg", "(", ")", ";", "rectangle", "=", "fixRectangle", "(", "rectangle", ",", "srcImage", ".", "getWidth", "(", ")", ",", "srcImage", ".", "getHeight", "(", ")", ")", ";", "final", "ImageFilter", "cropFilter", "=", "new", "CropImageFilter", "(", "rectangle", ".", "x", ",", "rectangle", ".", "y", ",", "rectangle", ".", "width", ",", "rectangle", ".", "height", ")", ";", "final", "Image", "image", "=", "Toolkit", ".", "getDefaultToolkit", "(", ")", ".", "createImage", "(", "new", "FilteredImageSource", "(", "srcImage", ".", "getSource", "(", ")", ",", "cropFilter", ")", ")", ";", "this", ".", "targetImage", "=", "ImgUtil", ".", "toBufferedImage", "(", "image", ")", ";", "return", "this", ";", "}" ]	图像切割(按指定起点坐标和宽高切割) @param rectangle 矩形对象，表示矩形区域的x，y，width，height @return this	[ "图像切割", "(", "按指定起点坐标和宽高切割", ")" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/Img.java#L285-L293	train	Cut the image to the specified rectangle.	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apache/flink	flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/config/entries/DeploymentEntry.java	DeploymentEntry.create	public static DeploymentEntry create(Map<String, Object> config) { return new DeploymentEntry(ConfigUtil.normalizeYaml(config)); }	java	public static DeploymentEntry create(Map<String, Object> config) { return new DeploymentEntry(ConfigUtil.normalizeYaml(config)); }	[ "public", "static", "DeploymentEntry", "create", "(", "Map", "<", "String", ",", "Object", ">", "config", ")", "{", "return", "new", "DeploymentEntry", "(", "ConfigUtil", ".", "normalizeYaml", "(", "config", ")", ")", ";", "}" ]	--------------------------------------------------------------------------------------------	[ "--------------------------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/config/entries/DeploymentEntry.java#L131-L133	train	Create a new deployment entry from a map of configuration objects.	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apache/flink	flink-connectors/flink-connector-filesystem/src/main/java/org/apache/flink/streaming/connectors/fs/bucketing/BucketingSink.java	BucketingSink.createHadoopFileSystem	public static FileSystem createHadoopFileSystem( Path path, @Nullable Configuration extraUserConf) throws IOException { // try to get the Hadoop File System via the Flink File Systems // that way we get the proper configuration final org.apache.flink.core.fs.FileSystem flinkFs = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(path.toUri()); final FileSystem hadoopFs = (flinkFs instanceof HadoopFileSystem) ? ((HadoopFileSystem) flinkFs).getHadoopFileSystem() : null; // fast path: if the Flink file system wraps Hadoop anyways and we need no extra config, // then we use it directly if (extraUserConf == null && hadoopFs != null) { return hadoopFs; } else { // we need to re-instantiate the Hadoop file system, because we either have // a special config, or the Path gave us a Flink FS that is not backed by // Hadoop (like file://) final org.apache.hadoop.conf.Configuration hadoopConf; if (hadoopFs != null) { // have a Hadoop FS but need to apply extra config hadoopConf = hadoopFs.getConf(); } else { // the Path gave us a Flink FS that is not backed by Hadoop (like file://) // we need to get access to the Hadoop file system first // we access the Hadoop FS in Flink, which carries the proper // Hadoop configuration. we should get rid of this once the bucketing sink is // properly implemented against Flink's FS abstraction URI genericHdfsUri = URI.create("hdfs://localhost:12345/"); org.apache.flink.core.fs.FileSystem accessor = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(genericHdfsUri); if (!(accessor instanceof HadoopFileSystem)) { throw new IOException( "Cannot instantiate a Hadoop file system to access the Hadoop configuration. " + "FS for hdfs:// is " + accessor.getClass().getName()); } hadoopConf = ((HadoopFileSystem) accessor).getHadoopFileSystem().getConf(); } // finalize the configuration final org.apache.hadoop.conf.Configuration finalConf; if (extraUserConf == null) { finalConf = hadoopConf; } else { finalConf = new org.apache.hadoop.conf.Configuration(hadoopConf); for (String key : extraUserConf.keySet()) { finalConf.set(key, extraUserConf.getString(key, null)); } } // we explicitly re-instantiate the file system here in order to make sure // that the configuration is applied. URI fsUri = path.toUri(); final String scheme = fsUri.getScheme(); final String authority = fsUri.getAuthority(); if (scheme == null && authority == null) { fsUri = FileSystem.getDefaultUri(finalConf); } else if (scheme != null && authority == null) { URI defaultUri = FileSystem.getDefaultUri(finalConf); if (scheme.equals(defaultUri.getScheme()) && defaultUri.getAuthority() != null) { fsUri = defaultUri; } } final Class<? extends FileSystem> fsClass = FileSystem.getFileSystemClass(fsUri.getScheme(), finalConf); final FileSystem fs; try { fs = fsClass.newInstance(); } catch (Exception e) { throw new IOException("Cannot instantiate the Hadoop file system", e); } fs.initialize(fsUri, finalConf); // We don't perform checksums on Hadoop's local filesystem and use the raw filesystem. // Otherwise buffers are not flushed entirely during checkpointing which results in data loss. if (fs instanceof LocalFileSystem) { return ((LocalFileSystem) fs).getRaw(); } return fs; } }	java	public static FileSystem createHadoopFileSystem( Path path, @Nullable Configuration extraUserConf) throws IOException { // try to get the Hadoop File System via the Flink File Systems // that way we get the proper configuration final org.apache.flink.core.fs.FileSystem flinkFs = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(path.toUri()); final FileSystem hadoopFs = (flinkFs instanceof HadoopFileSystem) ? ((HadoopFileSystem) flinkFs).getHadoopFileSystem() : null; // fast path: if the Flink file system wraps Hadoop anyways and we need no extra config, // then we use it directly if (extraUserConf == null && hadoopFs != null) { return hadoopFs; } else { // we need to re-instantiate the Hadoop file system, because we either have // a special config, or the Path gave us a Flink FS that is not backed by // Hadoop (like file://) final org.apache.hadoop.conf.Configuration hadoopConf; if (hadoopFs != null) { // have a Hadoop FS but need to apply extra config hadoopConf = hadoopFs.getConf(); } else { // the Path gave us a Flink FS that is not backed by Hadoop (like file://) // we need to get access to the Hadoop file system first // we access the Hadoop FS in Flink, which carries the proper // Hadoop configuration. we should get rid of this once the bucketing sink is // properly implemented against Flink's FS abstraction URI genericHdfsUri = URI.create("hdfs://localhost:12345/"); org.apache.flink.core.fs.FileSystem accessor = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(genericHdfsUri); if (!(accessor instanceof HadoopFileSystem)) { throw new IOException( "Cannot instantiate a Hadoop file system to access the Hadoop configuration. " + "FS for hdfs:// is " + accessor.getClass().getName()); } hadoopConf = ((HadoopFileSystem) accessor).getHadoopFileSystem().getConf(); } // finalize the configuration final org.apache.hadoop.conf.Configuration finalConf; if (extraUserConf == null) { finalConf = hadoopConf; } else { finalConf = new org.apache.hadoop.conf.Configuration(hadoopConf); for (String key : extraUserConf.keySet()) { finalConf.set(key, extraUserConf.getString(key, null)); } } // we explicitly re-instantiate the file system here in order to make sure // that the configuration is applied. URI fsUri = path.toUri(); final String scheme = fsUri.getScheme(); final String authority = fsUri.getAuthority(); if (scheme == null && authority == null) { fsUri = FileSystem.getDefaultUri(finalConf); } else if (scheme != null && authority == null) { URI defaultUri = FileSystem.getDefaultUri(finalConf); if (scheme.equals(defaultUri.getScheme()) && defaultUri.getAuthority() != null) { fsUri = defaultUri; } } final Class<? extends FileSystem> fsClass = FileSystem.getFileSystemClass(fsUri.getScheme(), finalConf); final FileSystem fs; try { fs = fsClass.newInstance(); } catch (Exception e) { throw new IOException("Cannot instantiate the Hadoop file system", e); } fs.initialize(fsUri, finalConf); // We don't perform checksums on Hadoop's local filesystem and use the raw filesystem. // Otherwise buffers are not flushed entirely during checkpointing which results in data loss. if (fs instanceof LocalFileSystem) { return ((LocalFileSystem) fs).getRaw(); } return fs; } }	[ "public", "static", 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]	------------------------------------------------------------------------	[ "------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-filesystem/src/main/java/org/apache/flink/streaming/connectors/fs/bucketing/BucketingSink.java#L1219-L1316	train	Create a Hadoop file system from the Hadoop file system path.	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apache/spark	common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java	UTF8String.concatWs	public static UTF8String concatWs(UTF8String separator, UTF8String... inputs) { if (separator == null) { return null; } int numInputBytes = 0; // total number of bytes from the inputs int numInputs = 0; // number of non-null inputs for (int i = 0; i < inputs.length; i++) { if (inputs[i] != null) { numInputBytes += inputs[i].numBytes; numInputs++; } } if (numInputs == 0) { // Return an empty string if there is no input, or all the inputs are null. return EMPTY_UTF8; } // Allocate a new byte array, and copy the inputs one by one into it. // The size of the new array is the size of all inputs, plus the separators. final byte[] result = new byte[numInputBytes + (numInputs - 1) * separator.numBytes]; int offset = 0; for (int i = 0, j = 0; i < inputs.length; i++) { if (inputs[i] != null) { int len = inputs[i].numBytes; copyMemory( inputs[i].base, inputs[i].offset, result, BYTE_ARRAY_OFFSET + offset, len); offset += len; j++; // Add separator if this is not the last input. if (j < numInputs) { copyMemory( separator.base, separator.offset, result, BYTE_ARRAY_OFFSET + offset, separator.numBytes); offset += separator.numBytes; } } } return fromBytes(result); }	java	public static UTF8String concatWs(UTF8String separator, UTF8String... inputs) { if (separator == null) { return null; } int numInputBytes = 0; // total number of bytes from the inputs int numInputs = 0; // number of non-null inputs for (int i = 0; i < inputs.length; i++) { if (inputs[i] != null) { numInputBytes += inputs[i].numBytes; numInputs++; } } if (numInputs == 0) { // Return an empty string if there is no input, or all the inputs are null. return EMPTY_UTF8; } // Allocate a new byte array, and copy the inputs one by one into it. // The size of the new array is the size of all inputs, plus the separators. final byte[] result = new byte[numInputBytes + (numInputs - 1) * separator.numBytes]; int offset = 0; for (int i = 0, j = 0; i < inputs.length; i++) { if (inputs[i] != null) { int len = inputs[i].numBytes; copyMemory( inputs[i].base, inputs[i].offset, result, BYTE_ARRAY_OFFSET + offset, len); offset += len; j++; // Add separator if this is not the last input. if (j < numInputs) { copyMemory( separator.base, separator.offset, result, BYTE_ARRAY_OFFSET + offset, separator.numBytes); offset += separator.numBytes; } } } return fromBytes(result); }	[ "public", "static", "UTF8String", "concatWs", "(", "UTF8String", "separator", ",", "UTF8String", "...", "inputs", ")", "{", "if", "(", "separator", "==", "null", ")", "{", "return", "null", ";", "}", "int", "numInputBytes", "=", "0", ";", "// total number of bytes from the inputs", "int", "numInputs", "=", "0", ";", "// number of non-null inputs", "for", "(", "int", "i", "=", "0", ";", "i", "<", "inputs", ".", "length", ";", "i", "++", ")", "{", "if", "(", "inputs", "[", "i", "]", "!=", "null", ")", "{", "numInputBytes", "+=", "inputs", "[", "i", "]", ".", "numBytes", ";", "numInputs", "++", ";", "}", "}", "if", "(", "numInputs", "==", "0", ")", "{", "// Return an empty string if there is no input, or all the inputs are null.", "return", "EMPTY_UTF8", ";", "}", "// Allocate a new byte array, and copy the inputs one by one into it.", "// The size of the new array is the size of all inputs, plus the separators.", "final", "byte", "[", "]", "result", "=", "new", "byte", "[", "numInputBytes", "+", "(", "numInputs", "-", "1", ")", "*", "separator", ".", "numBytes", "]", ";", "int", "offset", "=", "0", ";", "for", "(", "int", "i", "=", "0", ",", "j", "=", "0", ";", "i", "<", "inputs", ".", "length", ";", "i", "++", ")", "{", "if", "(", "inputs", "[", "i", "]", "!=", "null", ")", "{", "int", "len", "=", "inputs", "[", "i", "]", ".", "numBytes", ";", "copyMemory", "(", "inputs", "[", "i", "]", ".", "base", ",", "inputs", "[", "i", "]", ".", "offset", ",", "result", ",", "BYTE_ARRAY_OFFSET", "+", "offset", ",", "len", ")", ";", "offset", "+=", "len", ";", "j", "++", ";", "// Add separator if this is not the last input.", "if", "(", "j", "<", "numInputs", ")", "{", "copyMemory", "(", "separator", ".", "base", ",", "separator", ".", "offset", ",", "result", ",", "BYTE_ARRAY_OFFSET", "+", "offset", ",", "separator", ".", "numBytes", ")", ";", "offset", "+=", "separator", ".", "numBytes", ";", "}", "}", "}", "return", "fromBytes", "(", "result", ")", ";", "}" ]	Concatenates input strings together into a single string using the separator. A null input is skipped. For example, concat(",", "a", null, "c") would yield "a,c".	[ "Concatenates", "input", "strings", "together", "into", "a", "single", "string", "using", "the", "separator", ".", "A", "null", "input", "is", "skipped", ".", "For", "example", "concat", "(", "a", "null", "c", ")", "would", "yield", "a", "c", "." ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L913-L958	train	Concatenate two UTF8Strings.	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spring-projects/spring-boot	spring-boot-project/spring-boot/src/main/java/org/springframework/boot/webservices/client/WebServiceTemplateBuilder.java	WebServiceTemplateBuilder.messageSenders	public WebServiceTemplateBuilder messageSenders( Collection<? extends WebServiceMessageSender> messageSenders) { Assert.notNull(messageSenders, "MessageSenders must not be null"); return new WebServiceTemplateBuilder(this.detectHttpMessageSender, this.interceptors, this.internalCustomizers, this.customizers, this.messageSenders.set(messageSenders), this.marshaller, this.unmarshaller, this.destinationProvider, this.transformerFactoryClass, this.messageFactory); }	java	public WebServiceTemplateBuilder messageSenders( Collection<? extends WebServiceMessageSender> messageSenders) { Assert.notNull(messageSenders, "MessageSenders must not be null"); return new WebServiceTemplateBuilder(this.detectHttpMessageSender, this.interceptors, this.internalCustomizers, this.customizers, this.messageSenders.set(messageSenders), this.marshaller, this.unmarshaller, this.destinationProvider, this.transformerFactoryClass, this.messageFactory); }	[ "public", "WebServiceTemplateBuilder", "messageSenders", "(", "Collection", "<", "?", "extends", "WebServiceMessageSender", ">", "messageSenders", ")", "{", "Assert", ".", "notNull", "(", "messageSenders", ",", "\"MessageSenders must not be null\"", ")", ";", "return", "new", "WebServiceTemplateBuilder", "(", "this", ".", "detectHttpMessageSender", ",", "this", ".", "interceptors", ",", "this", ".", "internalCustomizers", ",", "this", ".", "customizers", ",", "this", ".", "messageSenders", ".", "set", "(", "messageSenders", ")", ",", "this", ".", "marshaller", ",", "this", ".", "unmarshaller", ",", "this", ".", "destinationProvider", ",", "this", ".", "transformerFactoryClass", ",", "this", ".", "messageFactory", ")", ";", "}" ]	Sets the {@link WebServiceMessageSender WebServiceMessageSenders} that should be used with the {@link WebServiceTemplate}. Setting this value will replace any previously defined message senders, including the HTTP-based message sender, if any. Consider using {@link #additionalMessageSenders(Collection)} to keep it with user-defined message senders. @param messageSenders the message senders to set @return a new builder instance. @see #additionalMessageSenders(Collection) @see #detectHttpMessageSender(boolean)	[ "Sets", "the", "{" ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/webservices/client/WebServiceTemplateBuilder.java#L157-L165	train	Sets the message senders.	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netty/netty	common/src/main/java/io/netty/util/concurrent/AbstractEventExecutor.java	AbstractEventExecutor.safeExecute	protected static void safeExecute(Runnable task) { try { task.run(); } catch (Throwable t) { logger.warn("A task raised an exception. Task: {}", task, t); } }	java	protected static void safeExecute(Runnable task) { try { task.run(); } catch (Throwable t) { logger.warn("A task raised an exception. Task: {}", task, t); } }	[ "protected", "static", "void", "safeExecute", "(", "Runnable", "task", ")", "{", "try", "{", "task", ".", "run", "(", ")", ";", "}", "catch", "(", "Throwable", "t", ")", "{", "logger", ".", "warn", "(", "\"A task raised an exception. Task: {}\"", ",", "task", ",", "t", ")", ";", "}", "}" ]	Try to execute the given {@link Runnable} and just log if it throws a {@link Throwable}.	[ "Try", "to", "execute", "the", "given", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/concurrent/AbstractEventExecutor.java#L161-L167	train	Execute a Runnable.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/checkpoints/CheckpointStatsCache.java	CheckpointStatsCache.tryAdd	public void tryAdd(AbstractCheckpointStats checkpoint) { // Don't add in progress checkpoints as they will be replaced by their // completed/failed version eventually. if (cache != null && checkpoint != null && !checkpoint.getStatus().isInProgress()) { cache.put(checkpoint.getCheckpointId(), checkpoint); } }	java	public void tryAdd(AbstractCheckpointStats checkpoint) { // Don't add in progress checkpoints as they will be replaced by their // completed/failed version eventually. if (cache != null && checkpoint != null && !checkpoint.getStatus().isInProgress()) { cache.put(checkpoint.getCheckpointId(), checkpoint); } }	[ "public", "void", "tryAdd", "(", "AbstractCheckpointStats", "checkpoint", ")", "{", "// Don't add in progress checkpoints as they will be replaced by their", "// completed/failed version eventually.", "if", "(", "cache", "!=", "null", "&&", "checkpoint", "!=", "null", "&&", "!", "checkpoint", ".", "getStatus", "(", ")", ".", "isInProgress", "(", ")", ")", "{", "cache", ".", "put", "(", "checkpoint", ".", "getCheckpointId", "(", ")", ",", "checkpoint", ")", ";", "}", "}" ]	Try to add the checkpoint to the cache. @param checkpoint Checkpoint to be added.	[ "Try", "to", "add", "the", "checkpoint", "to", "the", "cache", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/checkpoints/CheckpointStatsCache.java#L59-L65	train	Add a checkpoint to the cache.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/HashUtil.java	HashUtil.mixHash	public static long mixHash(String str) { long hash = str.hashCode(); hash <<= 32; hash \|= fnvHash(str); return hash; }	java	public static long mixHash(String str) { long hash = str.hashCode(); hash <<= 32; hash \|= fnvHash(str); return hash; }	[ "public", "static", "long", "mixHash", "(", "String", "str", ")", "{", "long", "hash", "=", "str", ".", "hashCode", "(", ")", ";", "hash", "<<=", "32", ";", "hash", "\|=", "fnvHash", "(", "str", ")", ";", "return", "hash", ";", "}" ]	混合hash算法，输出64位的值 @param str 字符串 @return hash值	[ "混合hash算法，输出64位的值" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/HashUtil.java#L426-L431	train	Returns the hash value of the given string.	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apache/flink	flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlDateTimeUtils.java	SqlDateTimeUtils.dateToInternal	public static int dateToInternal(java.sql.Date date, TimeZone tz) { long ts = date.getTime() + tz.getOffset(date.getTime()); return (int) (ts / MILLIS_PER_DAY); }	java	public static int dateToInternal(java.sql.Date date, TimeZone tz) { long ts = date.getTime() + tz.getOffset(date.getTime()); return (int) (ts / MILLIS_PER_DAY); }	[ "public", "static", "int", "dateToInternal", "(", "java", ".", "sql", ".", "Date", "date", ",", "TimeZone", "tz", ")", "{", "long", "ts", "=", "date", ".", "getTime", "(", ")", "+", "tz", ".", "getOffset", "(", "date", ".", "getTime", "(", ")", ")", ";", "return", "(", "int", ")", "(", "ts", "/", "MILLIS_PER_DAY", ")", ";", "}" ]	Converts the Java type used for UDF parameters of SQL DATE type ({@link java.sql.Date}) to internal representation (int). <p>Converse of {@link #internalToDate(int)}.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java	CollUtil.reverseNew	public static <T> List<T> reverseNew(List<T> list) { final List<T> list2 = ObjectUtil.clone(list); return reverse(list2); }	java	public static <T> List<T> reverseNew(List<T> list) { final List<T> list2 = ObjectUtil.clone(list); return reverse(list2); }	[ "public", "static", "<", "T", ">", "List", "<", "T", ">", "reverseNew", "(", "List", "<", "T", ">", "list", ")", "{", "final", "List", "<", "T", ">", "list2", "=", "ObjectUtil", ".", "clone", "(", "list", ")", ";", "return", "reverse", "(", "list2", ")", ";", "}" ]	反序给定List，会创建一个新的List，原List数据不变 @param <T> 元素类型 @param list 被反转的List @return 反转后的List @since 4.0.6	[ "反序给定List，会创建一个新的List，原List数据不变" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L2373-L2376	train	Returns a new list with the reverse of the given list.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java	Trie.constructFailureStates	private void constructFailureStates() { Queue<State> queue = new LinkedBlockingDeque<State>(); // 第一步，将深度为1的节点的failure设为根节点 for (State depthOneState : this.rootState.getStates()) { depthOneState.setFailure(this.rootState); queue.add(depthOneState); } this.failureStatesConstructed = true; // 第二步，为深度 > 1 的节点建立failure表，这是一个bfs while (!queue.isEmpty()) { State currentState = queue.remove(); for (Character transition : currentState.getTransitions()) { State targetState = currentState.nextState(transition); queue.add(targetState); State traceFailureState = currentState.failure(); while (traceFailureState.nextState(transition) == null) { traceFailureState = traceFailureState.failure(); } State newFailureState = traceFailureState.nextState(transition); targetState.setFailure(newFailureState); targetState.addEmit(newFailureState.emit()); } } }	java	private void constructFailureStates() { Queue<State> queue = new LinkedBlockingDeque<State>(); // 第一步，将深度为1的节点的failure设为根节点 for (State depthOneState : this.rootState.getStates()) { depthOneState.setFailure(this.rootState); queue.add(depthOneState); } this.failureStatesConstructed = true; // 第二步，为深度 > 1 的节点建立failure表，这是一个bfs while (!queue.isEmpty()) { State currentState = queue.remove(); for (Character transition : currentState.getTransitions()) { State targetState = currentState.nextState(transition); queue.add(targetState); State traceFailureState = currentState.failure(); while (traceFailureState.nextState(transition) == null) { traceFailureState = traceFailureState.failure(); } State newFailureState = traceFailureState.nextState(transition); targetState.setFailure(newFailureState); targetState.addEmit(newFailureState.emit()); } } }	[ "private", "void", "constructFailureStates", "(", ")", "{", "Queue", "<", "State", ">", "queue", "=", "new", "LinkedBlockingDeque", "<", "State", ">", "(", ")", ";", "// 第一步，将深度为1的节点的failure设为根节点", "for", "(", "State", "depthOneState", ":", "this", ".", "rootState", ".", "getStates", "(", ")", ")", "{", "depthOneState", ".", "setFailure", "(", "this", ".", "rootState", ")", ";", "queue", ".", "add", "(", "depthOneState", ")", ";", "}", "this", ".", "failureStatesConstructed", "=", "true", ";", "// 第二步，为深度 > 1 的节点建立failure表，这是一个bfs", "while", "(", "!", "queue", ".", "isEmpty", "(", ")", ")", "{", "State", "currentState", "=", "queue", ".", "remove", "(", ")", ";", "for", "(", "Character", "transition", ":", "currentState", ".", "getTransitions", "(", ")", ")", "{", "State", "targetState", "=", "currentState", ".", "nextState", "(", "transition", ")", ";", "queue", ".", "add", "(", "targetState", ")", ";", "State", "traceFailureState", "=", "currentState", ".", "failure", "(", ")", ";", "while", "(", "traceFailureState", ".", "nextState", "(", "transition", ")", "==", "null", ")", "{", "traceFailureState", "=", "traceFailureState", ".", "failure", "(", ")", ";", "}", "State", "newFailureState", "=", "traceFailureState", ".", "nextState", "(", "transition", ")", ";", "targetState", ".", "setFailure", "(", "newFailureState", ")", ";", "targetState", ".", "addEmit", "(", "newFailureState", ".", "emit", "(", ")", ")", ";", "}", "}", "}" ]	建立failure表	[ "建立failure表" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java#L233-L265	train	Construct failure states.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java	SqlConnRunner.page	public PageResult<Entity> page(Connection conn, Collection<String> fields, Entity where, int page, int numPerPage) throws SQLException { checkConn(conn); final int count = count(conn, where); PageResultHandler pageResultHandler = PageResultHandler.create(new PageResult<Entity>(page, numPerPage, count)); return this.page(conn, fields, where, page, numPerPage, pageResultHandler); }	java	public PageResult<Entity> page(Connection conn, Collection<String> fields, Entity where, int page, int numPerPage) throws SQLException { checkConn(conn); final int count = count(conn, where); PageResultHandler pageResultHandler = PageResultHandler.create(new PageResult<Entity>(page, numPerPage, count)); return this.page(conn, fields, where, page, numPerPage, pageResultHandler); }	[ "public", "PageResult", "<", "Entity", ">", "page", "(", "Connection", "conn", ",", "Collection", "<", "String", ">", "fields", ",", "Entity", "where", ",", "int", "page", ",", "int", "numPerPage", ")", "throws", "SQLException", "{", "checkConn", "(", "conn", ")", ";", "final", "int", "count", "=", "count", "(", "conn", ",", "where", ")", ";", "PageResultHandler", "pageResultHandler", "=", "PageResultHandler", ".", "create", "(", "new", "PageResult", "<", "Entity", ">", "(", "page", ",", "numPerPage", ",", "count", ")", ")", ";", "return", "this", ".", "page", "(", "conn", ",", "fields", ",", "where", ",", "page", ",", "numPerPage", ",", "pageResultHandler", ")", ";", "}" ]	分页查询<br> 此方法不会关闭Connection @param conn 数据库连接对象 @param fields 返回的字段列表，null则返回所有字段 @param where 条件实体类（包含表名） @param page 页码 @param numPerPage 每页条目数 @return 结果对象 @throws SQLException SQL执行异常	[ "分页查询<br", ">", "此方法不会关闭Connection" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java#L509-L515	train	Retrieves a page of entities from a database connection.	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netty/netty	handler/src/main/java/io/netty/handler/ssl/OpenSsl.java	OpenSsl.selfSignedCertificate	static X509Certificate selfSignedCertificate() throws CertificateException { return (X509Certificate) SslContext.X509_CERT_FACTORY.generateCertificate( new ByteArrayInputStream(CERT.getBytes(CharsetUtil.US_ASCII)) ); }	java	static X509Certificate selfSignedCertificate() throws CertificateException { return (X509Certificate) SslContext.X509_CERT_FACTORY.generateCertificate( new ByteArrayInputStream(CERT.getBytes(CharsetUtil.US_ASCII)) ); }	[ "static", "X509Certificate", "selfSignedCertificate", "(", ")", "throws", "CertificateException", "{", "return", "(", "X509Certificate", ")", "SslContext", ".", "X509_CERT_FACTORY", ".", "generateCertificate", "(", "new", "ByteArrayInputStream", "(", "CERT", ".", "getBytes", "(", "CharsetUtil", ".", "US_ASCII", ")", ")", ")", ";", "}" ]	Returns a self-signed {@link X509Certificate} for {@code netty.io}.	[ "Returns", "a", "self", "-", "signed", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/OpenSsl.java#L367-L371	train	This method is used to generate a self - signed certificate.	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apache/flink	flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/ColumnOperationUtils.java	ColumnOperationUtils.renameColumns	public static List<Expression> renameColumns(List<String> inputFields, List<Expression> newAliases) { LinkedHashMap<String, Expression> finalFields = new LinkedHashMap<>(); inputFields.forEach(field -> finalFields.put(field, new UnresolvedReferenceExpression(field))); newAliases.forEach(expr -> { String name = expr.accept(renameColumnExtractor); finalFields.put(name, expr); }); return new ArrayList<>(finalFields.values()); }	java	public static List<Expression> renameColumns(List<String> inputFields, List<Expression> newAliases) { LinkedHashMap<String, Expression> finalFields = new LinkedHashMap<>(); inputFields.forEach(field -> finalFields.put(field, new UnresolvedReferenceExpression(field))); newAliases.forEach(expr -> { String name = expr.accept(renameColumnExtractor); finalFields.put(name, expr); }); return new ArrayList<>(finalFields.values()); }	[ "public", "static", "List", "<", "Expression", ">", "renameColumns", "(", "List", "<", "String", ">", "inputFields", ",", "List", "<", "Expression", ">", "newAliases", ")", "{", "LinkedHashMap", "<", "String", ",", "Expression", ">", "finalFields", "=", "new", "LinkedHashMap", "<>", "(", ")", ";", "inputFields", ".", "forEach", "(", "field", "->", "finalFields", ".", "put", "(", "field", ",", "new", "UnresolvedReferenceExpression", "(", "field", ")", ")", ")", ";", "newAliases", ".", "forEach", "(", "expr", "->", "{", "String", "name", "=", "expr", ".", "accept", "(", "renameColumnExtractor", ")", ";", "finalFields", ".", "put", "(", "name", ",", "expr", ")", ";", "}", ")", ";", "return", "new", "ArrayList", "<>", "(", "finalFields", ".", "values", "(", ")", ")", ";", "}" ]	Creates a projection list that renames existing columns to new names. <p><b>NOTE:</b> Resulting expression are still unresolved. @param inputFields names of current columns @param newAliases new aliases for current columns @return projection expressions	[ "Creates", "a", "projection", "list", "that", "renames", "existing", "columns", "to", "new", "names", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/ColumnOperationUtils.java#L57-L67	train	Returns a list of expressions that rename the input columns to the new columns.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/RandomUtil.java	RandomUtil.randomBigDecimal	public static BigDecimal randomBigDecimal(BigDecimal limit) { return NumberUtil.toBigDecimal(getRandom().nextDouble(limit.doubleValue())); }	java	public static BigDecimal randomBigDecimal(BigDecimal limit) { return NumberUtil.toBigDecimal(getRandom().nextDouble(limit.doubleValue())); }	[ "public", "static", "BigDecimal", "randomBigDecimal", "(", "BigDecimal", "limit", ")", "{", "return", "NumberUtil", ".", "toBigDecimal", "(", "getRandom", "(", ")", ".", "nextDouble", "(", "limit", ".", "doubleValue", "(", ")", ")", ")", ";", "}" ]	获得指定范围内的随机数 [0,limit) @param limit 最大数（不包含） @return 随机数 @since 4.0.9	[ "获得指定范围内的随机数", "[", "0", "limit", ")" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/RandomUtil.java#L227-L229	train	Returns a random BigDecimal in the specified limit.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java	MapUtil.getStr	public static String getStr(Map<?, ?> map, Object key) { return get(map, key, String.class); }	java	public static String getStr(Map<?, ?> map, Object key) { return get(map, key, String.class); }	[ "public", "static", "String", "getStr", "(", "Map", "<", "?", ",", "?", ">", "map", ",", "Object", "key", ")", "{", "return", "get", "(", "map", ",", "key", ",", "String", ".", "class", ")", ";", "}" ]	获取Map指定key的值，并转换为字符串 @param map Map @param key 键 @return 值 @since 4.0.6	[ "获取Map指定key的值，并转换为字符串" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L756-L758	train	Gets the string value from the map.	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looly/hutool	hutool-http/src/main/java/cn/hutool/http/HttpRequest.java	HttpRequest.form	public HttpRequest form(String name, File file) { return form(name, file, file.getName()); }	java	public HttpRequest form(String name, File file) { return form(name, file, file.getName()); }	[ "public", "HttpRequest", "form", "(", "String", "name", ",", "File", "file", ")", "{", "return", "form", "(", "name", ",", "file", ",", "file", ".", "getName", "(", ")", ")", ";", "}" ]	文件表单项<br> 一旦有文件加入，表单变为multipart/form-data @param name 名 @param file 需要上传的文件 @return this	[ "文件表单项<br", ">", "一旦有文件加入，表单变为multipart", "/", "form", "-", "data" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpRequest.java#L515-L517	train	Adds a form file to the request.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/operators/DataSinkTask.java	DataSinkTask.initOutputFormat	private void initOutputFormat() { ClassLoader userCodeClassLoader = getUserCodeClassLoader(); // obtain task configuration (including stub parameters) Configuration taskConf = getTaskConfiguration(); this.config = new TaskConfig(taskConf); try { this.format = config.<OutputFormat<IT>>getStubWrapper(userCodeClassLoader).getUserCodeObject(OutputFormat.class, userCodeClassLoader); // check if the class is a subclass, if the check is required if (!OutputFormat.class.isAssignableFrom(this.format.getClass())) { throw new RuntimeException("The class '" + this.format.getClass().getName() + "' is not a subclass of '" + OutputFormat.class.getName() + "' as is required."); } } catch (ClassCastException ccex) { throw new RuntimeException("The stub class is not a proper subclass of " + OutputFormat.class.getName(), ccex); } Thread thread = Thread.currentThread(); ClassLoader original = thread.getContextClassLoader(); // configure the stub. catch exceptions here extra, to report them as originating from the user code try { thread.setContextClassLoader(userCodeClassLoader); this.format.configure(this.config.getStubParameters()); } catch (Throwable t) { throw new RuntimeException("The user defined 'configure()' method in the Output Format caused an error: " + t.getMessage(), t); } finally { thread.setContextClassLoader(original); } }	java	private void initOutputFormat() { ClassLoader userCodeClassLoader = getUserCodeClassLoader(); // obtain task configuration (including stub parameters) Configuration taskConf = getTaskConfiguration(); this.config = new TaskConfig(taskConf); try { this.format = config.<OutputFormat<IT>>getStubWrapper(userCodeClassLoader).getUserCodeObject(OutputFormat.class, userCodeClassLoader); // check if the class is a subclass, if the check is required if (!OutputFormat.class.isAssignableFrom(this.format.getClass())) { throw new RuntimeException("The class '" + this.format.getClass().getName() + "' is not a subclass of '" + OutputFormat.class.getName() + "' as is required."); } } catch (ClassCastException ccex) { throw new RuntimeException("The stub class is not a proper subclass of " + OutputFormat.class.getName(), ccex); } Thread thread = Thread.currentThread(); ClassLoader original = thread.getContextClassLoader(); // configure the stub. catch exceptions here extra, to report them as originating from the user code try { thread.setContextClassLoader(userCodeClassLoader); this.format.configure(this.config.getStubParameters()); } catch (Throwable t) { throw new RuntimeException("The user defined 'configure()' method in the Output Format caused an error: " + t.getMessage(), t); } finally { thread.setContextClassLoader(original); } }	[ "private", "void", "initOutputFormat", "(", ")", "{", "ClassLoader", "userCodeClassLoader", "=", "getUserCodeClassLoader", "(", ")", ";", "// obtain task configuration (including stub parameters)", "Configuration", "taskConf", "=", "getTaskConfiguration", "(", ")", ";", "this", ".", "config", "=", "new", "TaskConfig", "(", "taskConf", ")", ";", "try", "{", "this", ".", "format", "=", "config", ".", "<", "OutputFormat", "<", "IT", ">", ">", "getStubWrapper", "(", "userCodeClassLoader", ")", ".", "getUserCodeObject", "(", "OutputFormat", ".", "class", ",", "userCodeClassLoader", ")", ";", "// check if the class is a subclass, if the check is required", "if", "(", "!", "OutputFormat", ".", "class", ".", "isAssignableFrom", "(", "this", ".", "format", ".", "getClass", "(", ")", ")", ")", "{", "throw", "new", "RuntimeException", "(", "\"The class '\"", "+", "this", ".", "format", ".", "getClass", "(", ")", ".", "getName", "(", ")", "+", "\"' is not a subclass of '\"", "+", "OutputFormat", ".", "class", ".", "getName", "(", ")", "+", "\"' as is required.\"", ")", ";", "}", "}", "catch", "(", "ClassCastException", "ccex", ")", "{", "throw", "new", "RuntimeException", "(", "\"The stub class is not a proper subclass of \"", "+", "OutputFormat", ".", "class", ".", "getName", "(", ")", ",", "ccex", ")", ";", "}", "Thread", "thread", "=", "Thread", ".", "currentThread", "(", ")", ";", "ClassLoader", "original", "=", "thread", ".", "getContextClassLoader", "(", ")", ";", "// configure the stub. catch exceptions here extra, to report them as originating from the user code ", "try", "{", "thread", ".", "setContextClassLoader", "(", "userCodeClassLoader", ")", ";", "this", ".", "format", ".", "configure", "(", "this", ".", "config", ".", "getStubParameters", "(", ")", ")", ";", "}", "catch", "(", "Throwable", "t", ")", "{", "throw", "new", "RuntimeException", "(", "\"The user defined 'configure()' method in the Output Format caused an error: \"", "+", "t", ".", "getMessage", "(", ")", ",", "t", ")", ";", "}", "finally", "{", "thread", ".", "setContextClassLoader", "(", "original", ")", ";", "}", "}" ]	Initializes the OutputFormat implementation and configuration. @throws RuntimeException Throws if instance of OutputFormat implementation can not be obtained.	[ "Initializes", "the", "OutputFormat", "implementation", "and", "configuration", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/DataSinkTask.java#L319-L352	train	Initialize the output format.	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apache/flink	flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java	Graph.runScatterGatherIteration	public <M> Graph<K, VV, EV> runScatterGatherIteration( ScatterFunction<K, VV, M, EV> scatterFunction, org.apache.flink.graph.spargel.GatherFunction<K, VV, M> gatherFunction, int maximumNumberOfIterations) { return this.runScatterGatherIteration(scatterFunction, gatherFunction, maximumNumberOfIterations, null); }	java	public <M> Graph<K, VV, EV> runScatterGatherIteration( ScatterFunction<K, VV, M, EV> scatterFunction, org.apache.flink.graph.spargel.GatherFunction<K, VV, M> gatherFunction, int maximumNumberOfIterations) { return this.runScatterGatherIteration(scatterFunction, gatherFunction, maximumNumberOfIterations, null); }	[ "public", "<", "M", ">", "Graph", "<", "K", ",", "VV", ",", "EV", ">", "runScatterGatherIteration", "(", "ScatterFunction", "<", "K", ",", "VV", ",", "M", ",", "EV", ">", "scatterFunction", ",", "org", ".", "apache", ".", "flink", ".", "graph", ".", "spargel", ".", "GatherFunction", "<", "K", ",", "VV", ",", "M", ">", "gatherFunction", ",", "int", "maximumNumberOfIterations", ")", "{", "return", "this", ".", "runScatterGatherIteration", "(", "scatterFunction", ",", "gatherFunction", ",", "maximumNumberOfIterations", ",", "null", ")", ";", "}" ]	Runs a ScatterGather iteration on the graph. No configuration options are provided. @param scatterFunction the scatter function @param gatherFunction the gather function @param maximumNumberOfIterations maximum number of iterations to perform @return the updated Graph after the scatter-gather iteration has converged or after maximumNumberOfIterations.	[ "Runs", "a", "ScatterGather", "iteration", "on", "the", "graph", ".", "No", "configuration", "options", "are", "provided", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L1730-L1737	train	Run a ScatterGather iteration on the graph.	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looly/hutool	hutool-poi/src/main/java/cn/hutool/poi/excel/sax/ExcelSaxUtil.java	ExcelSaxUtil.countNullCell	public static int countNullCell(String preRef, String ref) { // excel2007最大行数是1048576，最大列数是16384，最后一列列名是XFD // 数字代表列，去掉列信息 String preXfd = StrUtil.nullToDefault(preRef, "@").replaceAll("\\d+", ""); String xfd = StrUtil.nullToDefault(ref, "@").replaceAll("\\d+", ""); // A表示65，@表示64，如果A算作1，那@代表0 // 填充最大位数3 preXfd = StrUtil.fillBefore(preXfd, CELL_FILL_CHAR, MAX_CELL_BIT); xfd = StrUtil.fillBefore(xfd, CELL_FILL_CHAR, MAX_CELL_BIT); char[] preLetter = preXfd.toCharArray(); char[] letter = xfd.toCharArray(); // 用字母表示则最多三位，每26个字母进一位 int res = (letter[0] - preLetter[0]) * 26 * 26 + (letter[1] - preLetter[1]) * 26 + (letter[2] - preLetter[2]); return res - 1; }	java	public static int countNullCell(String preRef, String ref) { // excel2007最大行数是1048576，最大列数是16384，最后一列列名是XFD // 数字代表列，去掉列信息 String preXfd = StrUtil.nullToDefault(preRef, "@").replaceAll("\\d+", ""); String xfd = StrUtil.nullToDefault(ref, "@").replaceAll("\\d+", ""); // A表示65，@表示64，如果A算作1，那@代表0 // 填充最大位数3 preXfd = StrUtil.fillBefore(preXfd, CELL_FILL_CHAR, MAX_CELL_BIT); xfd = StrUtil.fillBefore(xfd, CELL_FILL_CHAR, MAX_CELL_BIT); char[] preLetter = preXfd.toCharArray(); char[] letter = xfd.toCharArray(); // 用字母表示则最多三位，每26个字母进一位 int res = (letter[0] - preLetter[0]) * 26 * 26 + (letter[1] - preLetter[1]) * 26 + (letter[2] - preLetter[2]); return res - 1; }	[ "public", "static", "int", "countNullCell", "(", "String", "preRef", ",", "String", "ref", ")", "{", "// excel2007最大行数是1048576，最大列数是16384，最后一列列名是XFD\r", "// 数字代表列，去掉列信息\r", "String", "preXfd", "=", "StrUtil", ".", "nullToDefault", "(", "preRef", ",", "\"@\"", ")", ".", "replaceAll", "(", "\"\\\\d+\"", ",", "\"\"", ")", ";", "String", "xfd", "=", "StrUtil", ".", "nullToDefault", "(", "ref", ",", "\"@\"", ")", ".", "replaceAll", "(", "\"\\\\d+\"", ",", "\"\"", ")", ";", "// A表示65，@表示64，如果A算作1，那@代表0\r", "// 填充最大位数3\r", "preXfd", "=", 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]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/sax/ExcelSaxUtil.java#L103-L119	train	count null cell	[ 30522, 2270, 10763, 20014, 4175, 11231, 3363, 29109, 2140, 1006, 5164, 3653, 2890, 2546, 1010, 5164, 25416, 1007, 1063, 1013, 1013, 24970, 28332, 2581, 100, 1810, 1945, 100, 100, 9645, 27531, 2581, 2575, 1989, 100, 1810, 100, 100, 100, 27497, 2549, 1989, 100, 100, 1740, 100, 100, 1795, 100, 1060, 2546, 2094, 1013, 1013, 100, 100, 1760, 100, 100, 1989, 100, 100, 100, 1767, 100, 5164, 3653, 2595, 2546, 2094, 1027, 2358, 22134, 4014, 1012, 19701, 3406, 3207, 7011, 11314, 1006, 3653, 2890, 2546, 1010, 1000, 1030, 1000, 1007, 1012, 5672, 8095, 1006, 1000, 1032, 1032, 1040, 1009, 1000, 1010, 1000, 1000, 1007, 1025, 5164, 1060, 2546, 2094, 1027, 2358, 22134, 4014, 1012, 19701, 3406, 3207, 7011, 11314, 1006, 25416, 1010, 1000, 1030, 1000, 1007, 1012, 5672, 8095, 1006, 1000, 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apache/flink	flink-core/src/main/java/org/apache/flink/util/FileUtils.java	FileUtils.readAllBytes	public static byte[] readAllBytes(java.nio.file.Path path) throws IOException { try (SeekableByteChannel channel = Files.newByteChannel(path); InputStream in = Channels.newInputStream(channel)) { long size = channel.size(); if (size > (long) MAX_BUFFER_SIZE) { throw new OutOfMemoryError("Required array size too large"); } return read(in, (int) size); } }	java	public static byte[] readAllBytes(java.nio.file.Path path) throws IOException { try (SeekableByteChannel channel = Files.newByteChannel(path); InputStream in = Channels.newInputStream(channel)) { long size = channel.size(); if (size > (long) MAX_BUFFER_SIZE) { throw new OutOfMemoryError("Required array size too large"); } return read(in, (int) size); } }	[ "public", "static", "byte", "[", "]", "readAllBytes", "(", "java", ".", "nio", ".", "file", ".", "Path", "path", ")", "throws", "IOException", "{", "try", "(", "SeekableByteChannel", "channel", "=", "Files", ".", "newByteChannel", "(", "path", ")", ";", "InputStream", "in", "=", "Channels", ".", "newInputStream", "(", "channel", ")", ")", "{", "long", "size", "=", "channel", ".", "size", "(", ")", ";", "if", "(", "size", ">", "(", "long", ")", "MAX_BUFFER_SIZE", ")", "{", "throw", "new", "OutOfMemoryError", "(", "\"Required array size too large\"", ")", ";", "}", "return", "read", "(", "in", ",", "(", "int", ")", "size", ")", ";", "}", "}" ]	Reads all the bytes from a file. The method ensures that the file is closed when all bytes have been read or an I/O error, or other runtime exception, is thrown. <p>This is an implementation that follow {@link java.nio.file.Files#readAllBytes(java.nio.file.Path)}, and the difference is that it limits the size of the direct buffer to avoid direct-buffer OutOfMemoryError. When {@link java.nio.file.Files#readAllBytes(java.nio.file.Path)} or other interfaces in java API can do this in the future, we should remove it. @param path the path to the file @return a byte array containing the bytes read from the file @throws IOException if an I/O error occurs reading from the stream @throws OutOfMemoryError if an array of the required size cannot be allocated, for example the file is larger that {@code 2GB}	[ "Reads", "all", "the", "bytes", "from", "a", "file", ".", "The", "method", "ensures", "that", "the", "file", "is", "closed", "when", "all", "bytes", "have", "been", "read", "or", "an", "I", "/", "O", "error", "or", "other", "runtime", "exception", "is", "thrown", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/FileUtils.java#L143-L154	train	Read all bytes from the given file.	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netty/netty	codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostStandardRequestDecoder.java	HttpPostStandardRequestDecoder.offer	@Override public HttpPostStandardRequestDecoder offer(HttpContent content) { checkDestroyed(); // Maybe we should better not copy here for performance reasons but this will need // more care by the caller to release the content in a correct manner later // So maybe something to optimize on a later stage ByteBuf buf = content.content(); if (undecodedChunk == null) { undecodedChunk = buf.copy(); } else { undecodedChunk.writeBytes(buf); } if (content instanceof LastHttpContent) { isLastChunk = true; } parseBody(); if (undecodedChunk != null && undecodedChunk.writerIndex() > discardThreshold) { undecodedChunk.discardReadBytes(); } return this; }	java	@Override public HttpPostStandardRequestDecoder offer(HttpContent content) { checkDestroyed(); // Maybe we should better not copy here for performance reasons but this will need // more care by the caller to release the content in a correct manner later // So maybe something to optimize on a later stage ByteBuf buf = content.content(); if (undecodedChunk == null) { undecodedChunk = buf.copy(); } else { undecodedChunk.writeBytes(buf); } if (content instanceof LastHttpContent) { isLastChunk = true; } parseBody(); if (undecodedChunk != null && undecodedChunk.writerIndex() > discardThreshold) { undecodedChunk.discardReadBytes(); } return this; }	[ "@", "Override", "public", "HttpPostStandardRequestDecoder", "offer", "(", "HttpContent", "content", ")", "{", "checkDestroyed", "(", ")", ";", "// Maybe we should better not copy here for performance reasons but this will need", "// more care by the caller to release the content in a correct manner later", "// So maybe something to optimize on a later stage", "ByteBuf", "buf", "=", "content", ".", "content", "(", ")", ";", "if", "(", "undecodedChunk", "==", "null", ")", "{", "undecodedChunk", "=", "buf", ".", "copy", "(", ")", ";", "}", "else", "{", "undecodedChunk", ".", "writeBytes", "(", "buf", ")", ";", "}", "if", "(", "content", "instanceof", "LastHttpContent", ")", "{", "isLastChunk", "=", "true", ";", "}", "parseBody", "(", ")", ";", "if", "(", "undecodedChunk", "!=", "null", "&&", "undecodedChunk", ".", "writerIndex", "(", ")", ">", "discardThreshold", ")", "{", "undecodedChunk", ".", "discardReadBytes", "(", ")", ";", "}", "return", "this", ";", "}" ]	Initialized the internals from a new chunk @param content the new received chunk @throws ErrorDataDecoderException if there is a problem with the charset decoding or other errors	[ "Initialized", "the", "internals", "from", "a", "new", "chunk" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostStandardRequestDecoder.java#L273-L294	train	Offer a content to the request.	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looly/hutool	hutool-cron/src/main/java/cn/hutool/cron/Scheduler.java	Scheduler.schedule	public String schedule(String pattern, Runnable task) { return schedule(pattern, new RunnableTask(task)); }	java	public String schedule(String pattern, Runnable task) { return schedule(pattern, new RunnableTask(task)); }	[ "public", "String", "schedule", "(", "String", "pattern", ",", "Runnable", "task", ")", "{", "return", "schedule", "(", "pattern", ",", "new", "RunnableTask", "(", "task", ")", ")", ";", "}" ]	新增Task，使用随机UUID @param pattern {@link CronPattern}对应的String表达式 @param task {@link Runnable} @return ID	[ "新增Task，使用随机UUID" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/Scheduler.java#L206-L208	train	Schedule a Runnable task to run on the specified pattern.	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apache/flink	flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java	OptimizerNode.prunePlanAlternatives	protected void prunePlanAlternatives(List<PlanNode> plans) { if (plans.isEmpty()) { throw new CompilerException("No plan meeting the requirements could be created @ " + this + ". Most likely reason: Too restrictive plan hints."); } // shortcut for the simple case if (plans.size() == 1) { return; } // we can only compare plan candidates that made equal choices // at the branching points. for each choice at a branching point, // we need to keep the cheapest (wrt. interesting properties). // if we do not keep candidates for each branch choice, we might not // find branch compatible candidates when joining the branches back. // for pruning, we are quasi AFTER the node, so in the presence of // branches, we need form the per-branch-choice groups by the choice // they made at the latest un-joined branching node. Note that this is // different from the check for branch compatibility of candidates, as // this happens on the input sub-plans and hence BEFORE the node (therefore // it is relevant to find the latest (partially) joined branch point. if (this.openBranches == null \|\| this.openBranches.isEmpty()) { prunePlanAlternativesWithCommonBranching(plans); } else { // partition the candidates into groups that made the same sub-plan candidate // choice at the latest unclosed branch point final OptimizerNode[] branchDeterminers = new OptimizerNode[this.openBranches.size()]; for (int i = 0; i < branchDeterminers.length; i++) { branchDeterminers[i] = this.openBranches.get(this.openBranches.size() - 1 - i).getBranchingNode(); } // this sorter sorts by the candidate choice at the branch point Comparator<PlanNode> sorter = new Comparator<PlanNode>() { @Override public int compare(PlanNode o1, PlanNode o2) { for (OptimizerNode branchDeterminer : branchDeterminers) { PlanNode n1 = o1.getCandidateAtBranchPoint(branchDeterminer); PlanNode n2 = o2.getCandidateAtBranchPoint(branchDeterminer); int hash1 = System.identityHashCode(n1); int hash2 = System.identityHashCode(n2); if (hash1 != hash2) { return hash1 - hash2; } } return 0; } }; Collections.sort(plans, sorter); List<PlanNode> result = new ArrayList<PlanNode>(); List<PlanNode> turn = new ArrayList<PlanNode>(); final PlanNode[] determinerChoice = new PlanNode[branchDeterminers.length]; while (!plans.isEmpty()) { // take one as the determiner turn.clear(); PlanNode determiner = plans.remove(plans.size() - 1); turn.add(determiner); for (int i = 0; i < determinerChoice.length; i++) { determinerChoice[i] = determiner.getCandidateAtBranchPoint(branchDeterminers[i]); } // go backwards through the plans and find all that are equal boolean stillEqual = true; for (int k = plans.size() - 1; k >= 0 && stillEqual; k--) { PlanNode toCheck = plans.get(k); for (int i = 0; i < branchDeterminers.length; i++) { PlanNode checkerChoice = toCheck.getCandidateAtBranchPoint(branchDeterminers[i]); if (checkerChoice != determinerChoice[i]) { // not the same anymore stillEqual = false; break; } } if (stillEqual) { // the same plans.remove(k); turn.add(toCheck); } } // now that we have only plans with the same branch alternatives, prune! if (turn.size() > 1) { prunePlanAlternativesWithCommonBranching(turn); } result.addAll(turn); } // after all turns are complete plans.clear(); plans.addAll(result); } }	java	protected void prunePlanAlternatives(List<PlanNode> plans) { if (plans.isEmpty()) { throw new CompilerException("No plan meeting the requirements could be created @ " + this + ". Most likely reason: Too restrictive plan hints."); } // shortcut for the simple case if (plans.size() == 1) { return; } // we can only compare plan candidates that made equal choices // at the branching points. for each choice at a branching point, // we need to keep the cheapest (wrt. interesting properties). // if we do not keep candidates for each branch choice, we might not // find branch compatible candidates when joining the branches back. // for pruning, we are quasi AFTER the node, so in the presence of // branches, we need form the per-branch-choice groups by the choice // they made at the latest un-joined branching node. Note that this is // different from the check for branch compatibility of candidates, as // this happens on the input sub-plans and hence BEFORE the node (therefore // it is relevant to find the latest (partially) joined branch point. if (this.openBranches == null \|\| this.openBranches.isEmpty()) { prunePlanAlternativesWithCommonBranching(plans); } else { // partition the candidates into groups that made the same sub-plan candidate // choice at the latest unclosed branch point final OptimizerNode[] branchDeterminers = new OptimizerNode[this.openBranches.size()]; for (int i = 0; i < branchDeterminers.length; i++) { branchDeterminers[i] = this.openBranches.get(this.openBranches.size() - 1 - i).getBranchingNode(); } // this sorter sorts by the candidate choice at the branch point Comparator<PlanNode> sorter = new Comparator<PlanNode>() { @Override public int compare(PlanNode o1, PlanNode o2) { for (OptimizerNode branchDeterminer : branchDeterminers) { PlanNode n1 = o1.getCandidateAtBranchPoint(branchDeterminer); PlanNode n2 = o2.getCandidateAtBranchPoint(branchDeterminer); int hash1 = System.identityHashCode(n1); int hash2 = System.identityHashCode(n2); if (hash1 != hash2) { return hash1 - hash2; } } return 0; } }; Collections.sort(plans, sorter); List<PlanNode> result = new ArrayList<PlanNode>(); List<PlanNode> turn = new ArrayList<PlanNode>(); final PlanNode[] determinerChoice = new PlanNode[branchDeterminers.length]; while (!plans.isEmpty()) { // take one as the determiner turn.clear(); PlanNode determiner = plans.remove(plans.size() - 1); turn.add(determiner); for (int i = 0; i < determinerChoice.length; i++) { determinerChoice[i] = determiner.getCandidateAtBranchPoint(branchDeterminers[i]); } // go backwards through the plans and find all that are equal boolean stillEqual = true; for (int k = plans.size() - 1; k >= 0 && stillEqual; k--) { PlanNode toCheck = plans.get(k); for (int i = 0; i < branchDeterminers.length; i++) { PlanNode checkerChoice = toCheck.getCandidateAtBranchPoint(branchDeterminers[i]); if (checkerChoice != determinerChoice[i]) { // not the same anymore stillEqual = false; break; } } if (stillEqual) { // the same plans.remove(k); turn.add(toCheck); } } // now that we have only plans with the same branch alternatives, prune! if (turn.size() > 1) { prunePlanAlternativesWithCommonBranching(turn); } result.addAll(turn); } // after all turns are complete plans.clear(); plans.addAll(result); } }	[ "protected", "void", "prunePlanAlternatives", "(", "List", "<", "PlanNode", ">", "plans", ")", "{", "if", "(", "plans", ".", "isEmpty", "(", ")", ")", "{", "throw", "new", "CompilerException", "(", "\"No plan meeting the requirements could be created @ \"", "+", "this", "+", "\". 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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/util/NonReusingKeyGroupedIterator.java	NonReusingKeyGroupedIterator.nextKey	public boolean nextKey() throws IOException { if (lookahead != null) { // common case: whole value-iterator was consumed and a new key group is available. this.comparator.setReference(this.lookahead); this.valuesIterator.next = this.lookahead; this.lastKeyRecord = this.lookahead; this.lookahead = null; this.valuesIterator.iteratorAvailable = true; return true; } // first element, empty/done, or the values iterator was not entirely consumed if (this.done) { return false; } if (this.valuesIterator != null) { // values was not entirely consumed. move to the next key // Required if user code / reduce() method did not read the whole value iterator. E next; while (true) { if ((next = this.iterator.next()) != null) { if (!this.comparator.equalToReference(next)) { // the keys do not match, so we have a new group. store the current key this.comparator.setReference(next); this.valuesIterator.next = next; this.lastKeyRecord = next; this.valuesIterator.iteratorAvailable = true; return true; } } else { // input exhausted this.valuesIterator.next = null; this.valuesIterator = null; this.lastKeyRecord = null; this.done = true; return false; } } } else { // first element // get the next element E first = this.iterator.next(); if (first != null) { this.comparator.setReference(first); this.valuesIterator = new ValuesIterator(first); this.lastKeyRecord = first; return true; } else { // empty input, set everything null this.done = true; return false; } } }	java	public boolean nextKey() throws IOException { if (lookahead != null) { // common case: whole value-iterator was consumed and a new key group is available. this.comparator.setReference(this.lookahead); this.valuesIterator.next = this.lookahead; this.lastKeyRecord = this.lookahead; this.lookahead = null; this.valuesIterator.iteratorAvailable = true; return true; } // first element, empty/done, or the values iterator was not entirely consumed if (this.done) { return false; } if (this.valuesIterator != null) { // values was not entirely consumed. move to the next key // Required if user code / reduce() method did not read the whole value iterator. E next; while (true) { if ((next = this.iterator.next()) != null) { if (!this.comparator.equalToReference(next)) { // the keys do not match, so we have a new group. store the current key this.comparator.setReference(next); this.valuesIterator.next = next; this.lastKeyRecord = next; this.valuesIterator.iteratorAvailable = true; return true; } } else { // input exhausted this.valuesIterator.next = null; this.valuesIterator = null; this.lastKeyRecord = null; this.done = true; return false; } } } else { // first element // get the next element E first = this.iterator.next(); if (first != null) { this.comparator.setReference(first); this.valuesIterator = new ValuesIterator(first); this.lastKeyRecord = first; return true; } else { // empty input, set everything null this.done = true; return false; } } }	[ "public", "boolean", "nextKey", "(", ")", "throws", "IOException", "{", "if", "(", "lookahead", "!=", "null", ")", "{", "// common case: whole value-iterator was consumed and a new key group is available.", "this", ".", "comparator", ".", "setReference", "(", "this", ".", "lookahead", ")", ";", "this", ".", "valuesIterator", ".", "next", "=", "this", ".", "lookahead", ";", "this", ".", "lastKeyRecord", "=", "this", ".", "lookahead", ";", "this", ".", "lookahead", "=", "null", ";", "this", ".", "valuesIterator", ".", "iteratorAvailable", "=", "true", ";", "return", "true", ";", "}", "// first element, empty/done, or the values iterator was not entirely consumed", "if", "(", "this", ".", "done", ")", "{", "return", "false", ";", "}", "if", "(", "this", ".", "valuesIterator", "!=", "null", ")", "{", "// values was not entirely consumed. move to the next key", "// Required if user code / reduce() method did not read the whole value iterator.", "E", "next", ";", "while", "(", "true", ")", "{", "if", "(", "(", "next", "=", "this", ".", "iterator", ".", "next", "(", ")", ")", "!=", "null", ")", "{", "if", "(", "!", "this", ".", "comparator", ".", "equalToReference", "(", "next", ")", ")", "{", "// the keys do not match, so we have a new group. store the current key", "this", ".", "comparator", ".", "setReference", "(", "next", ")", ";", "this", ".", "valuesIterator", ".", "next", "=", "next", ";", "this", ".", "lastKeyRecord", "=", "next", ";", "this", ".", "valuesIterator", ".", "iteratorAvailable", "=", "true", ";", "return", "true", ";", "}", "}", "else", "{", "// input exhausted", "this", ".", "valuesIterator", ".", "next", "=", "null", ";", "this", ".", "valuesIterator", "=", "null", ";", "this", ".", "lastKeyRecord", "=", "null", ";", "this", ".", "done", "=", "true", ";", "return", "false", ";", "}", "}", "}", "else", "{", "// first element", "// get the next element", "E", "first", "=", "this", ".", "iterator", ".", "next", "(", ")", ";", "if", "(", "first", "!=", "null", ")", "{", "this", ".", "comparator", ".", "setReference", "(", "first", ")", ";", "this", ".", "valuesIterator", "=", "new", "ValuesIterator", "(", "first", ")", ";", "this", ".", "lastKeyRecord", "=", "first", ";", "return", "true", ";", "}", "else", "{", "// empty input, set everything null", "this", ".", "done", "=", "true", ";", "return", "false", ";", "}", "}", "}" ]	Moves the iterator to the next key. This method may skip any values that have not yet been returned by the iterator created by the {@link #getValues()} method. Hence, if called multiple times it "removes" key groups. @return true, if the input iterator has an other group of records with the same key.	[ "Moves", "the", "iterator", "to", "the", "next", "key", ".", "This", "method", "may", "skip", "any", "values", "that", "have", "not", "yet", "been", "returned", "by", "the", "iterator", "created", "by", "the", "{", "@link", "#getValues", "()", "}", "method", ".", "Hence", "if", "called", "multiple", "times", "it", "removes", "key", "groups", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/NonReusingKeyGroupedIterator.java#L68-L126	train	Returns true if there is at least one key in the input stream.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/collection/dartsclone/details/DoubleArrayBuilder.java	DoubleArrayBuilder.buildDawg	private void buildDawg(Keyset keyset, DawgBuilder dawgBuilder) { dawgBuilder.init(); for (int i = 0; i < keyset.numKeys(); ++i) { dawgBuilder.insert(keyset.getKey(i), keyset.getValue(i)); } dawgBuilder.finish(); }	java	private void buildDawg(Keyset keyset, DawgBuilder dawgBuilder) { dawgBuilder.init(); for (int i = 0; i < keyset.numKeys(); ++i) { dawgBuilder.insert(keyset.getKey(i), keyset.getValue(i)); } dawgBuilder.finish(); }	[ "private", "void", "buildDawg", "(", "Keyset", "keyset", ",", "DawgBuilder", "dawgBuilder", ")", "{", "dawgBuilder", ".", "init", "(", ")", ";", "for", "(", "int", "i", "=", "0", ";", "i", "<", "keyset", ".", "numKeys", "(", ")", ";", "++", "i", ")", "{", "dawgBuilder", ".", "insert", "(", "keyset", ".", "getKey", "(", "i", ")", ",", "keyset", ".", "getValue", "(", "i", ")", ")", ";", "}", "dawgBuilder", ".", "finish", "(", ")", ";", "}" ]	构建 @param keyset @param dawgBuilder	[ "构建" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/dartsclone/details/DoubleArrayBuilder.java#L81-L89	train	Build a Dawg from a Keyset.	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spring-projects/spring-boot	spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/AutoConfigurationImportSelector.java	AutoConfigurationImportSelector.getExclusions	protected Set<String> getExclusions(AnnotationMetadata metadata, AnnotationAttributes attributes) { Set<String> excluded = new LinkedHashSet<>(); excluded.addAll(asList(attributes, "exclude")); excluded.addAll(Arrays.asList(attributes.getStringArray("excludeName"))); excluded.addAll(getExcludeAutoConfigurationsProperty()); return excluded; }	java	protected Set<String> getExclusions(AnnotationMetadata metadata, AnnotationAttributes attributes) { Set<String> excluded = new LinkedHashSet<>(); excluded.addAll(asList(attributes, "exclude")); excluded.addAll(Arrays.asList(attributes.getStringArray("excludeName"))); excluded.addAll(getExcludeAutoConfigurationsProperty()); return excluded; }	[ "protected", "Set", "<", "String", ">", "getExclusions", "(", "AnnotationMetadata", "metadata", ",", "AnnotationAttributes", "attributes", ")", "{", "Set", "<", "String", ">", "excluded", "=", "new", "LinkedHashSet", "<>", "(", ")", ";", "excluded", ".", "addAll", "(", "asList", "(", "attributes", ",", "\"exclude\"", ")", ")", ";", "excluded", ".", "addAll", "(", "Arrays", ".", "asList", "(", "attributes", ".", "getStringArray", "(", "\"excludeName\"", ")", ")", ")", ";", "excluded", ".", "addAll", "(", "getExcludeAutoConfigurationsProperty", "(", ")", ")", ";", "return", "excluded", ";", "}" ]	Return any exclusions that limit the candidate configurations. @param metadata the source metadata @param attributes the {@link #getAttributes(AnnotationMetadata) annotation attributes} @return exclusions or an empty set	[ "Return", "any", "exclusions", "that", "limit", "the", "candidate", "configurations", "." ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/AutoConfigurationImportSelector.java#L234-L241	train	Returns the set of excluded annotations.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/HanLP.java	HanLP.extractSummary	public static List<String> extractSummary(String document, int size, String sentence_separator) { return TextRankSentence.getTopSentenceList(document, size, sentence_separator); }	java	public static List<String> extractSummary(String document, int size, String sentence_separator) { return TextRankSentence.getTopSentenceList(document, size, sentence_separator); }	[ "public", "static", "List", "<", "String", ">", "extractSummary", "(", "String", "document", ",", "int", "size", ",", "String", "sentence_separator", ")", "{", "return", "TextRankSentence", ".", "getTopSentenceList", "(", "document", ",", "size", ",", "sentence_separator", ")", ";", "}" ]	自动摘要 @param document 目标文档 @param size 需要的关键句的个数 @param sentence_separator 分割目标文档时的句子分割符，正则格式，如：[。？?！!；;] @return 关键句列表	[ "自动摘要" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/HanLP.java#L843-L846	train	Extract summary from a text document.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/rpc/RpcUtils.java	RpcUtils.terminateRpcService	public static void terminateRpcService(RpcService rpcService, Time timeout) throws InterruptedException, ExecutionException, TimeoutException { rpcService.stopService().get(timeout.toMilliseconds(), TimeUnit.MILLISECONDS); }	java	public static void terminateRpcService(RpcService rpcService, Time timeout) throws InterruptedException, ExecutionException, TimeoutException { rpcService.stopService().get(timeout.toMilliseconds(), TimeUnit.MILLISECONDS); }	[ "public", "static", "void", "terminateRpcService", "(", "RpcService", "rpcService", ",", "Time", "timeout", ")", "throws", "InterruptedException", ",", "ExecutionException", ",", "TimeoutException", "{", "rpcService", ".", "stopService", "(", ")", ".", "get", "(", "timeout", ".", "toMilliseconds", "(", ")", ",", "TimeUnit", ".", "MILLISECONDS", ")", ";", "}" ]	Shuts the given rpc service down and waits for its termination. @param rpcService to shut down @param timeout for this operation @throws InterruptedException if the operation has been interrupted @throws ExecutionException if a problem occurred @throws TimeoutException if a timeout occurred	[ "Shuts", "the", "given", "rpc", "service", "down", "and", "waits", "for", "its", "termination", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rpc/RpcUtils.java#L89-L91	train	Terminate the RPC service.	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apache/incubator-shardingsphere	sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/metadata/datasource/DataSourceMetaDataFactory.java	DataSourceMetaDataFactory.newInstance	public static DataSourceMetaData newInstance(final DatabaseType databaseType, final String url) { switch (databaseType) { case H2: return new H2DataSourceMetaData(url); case MySQL: return new MySQLDataSourceMetaData(url); case Oracle: return new OracleDataSourceMetaData(url); case PostgreSQL: return new PostgreSQLDataSourceMetaData(url); case SQLServer: return new SQLServerDataSourceMetaData(url); default: throw new UnsupportedOperationException(String.format("Cannot support database [%s].", databaseType)); } }	java	public static DataSourceMetaData newInstance(final DatabaseType databaseType, final String url) { switch (databaseType) { case H2: return new H2DataSourceMetaData(url); case MySQL: return new MySQLDataSourceMetaData(url); case Oracle: return new OracleDataSourceMetaData(url); case PostgreSQL: return new PostgreSQLDataSourceMetaData(url); case SQLServer: return new SQLServerDataSourceMetaData(url); default: throw new UnsupportedOperationException(String.format("Cannot support database [%s].", databaseType)); } }	[ "public", "static", "DataSourceMetaData", "newInstance", "(", "final", "DatabaseType", "databaseType", ",", "final", "String", "url", ")", "{", "switch", "(", "databaseType", ")", "{", "case", "H2", ":", "return", "new", "H2DataSourceMetaData", "(", "url", ")", ";", "case", "MySQL", ":", "return", "new", "MySQLDataSourceMetaData", "(", "url", ")", ";", "case", "Oracle", ":", "return", "new", "OracleDataSourceMetaData", "(", "url", ")", ";", "case", "PostgreSQL", ":", "return", "new", "PostgreSQLDataSourceMetaData", "(", "url", ")", ";", "case", "SQLServer", ":", "return", "new", "SQLServerDataSourceMetaData", "(", "url", ")", ";", "default", ":", "throw", "new", "UnsupportedOperationException", "(", "String", ".", "format", "(", "\"Cannot support database [%s].\"", ",", "databaseType", ")", ")", ";", "}", "}" ]	Create new instance of data source meta data. @param databaseType database type @param url data source URL @return data source meta data	[ "Create", "new", "instance", "of", "data", "source", "meta", "data", "." ]	f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d	https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/metadata/datasource/DataSourceMetaDataFactory.java#L44-L59	train	Create a new instance of the data source meta data class.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/net/NetUtil.java	NetUtil.longToIpv4	public static String longToIpv4(long longIP) { final StringBuilder sb = new StringBuilder(); // 直接右移24位 sb.append(String.valueOf(longIP >>> 24)); sb.append("."); // 将高8位置0，然后右移16位 sb.append(String.valueOf((longIP & 0x00FFFFFF) >>> 16)); sb.append("."); sb.append(String.valueOf((longIP & 0x0000FFFF) >>> 8)); sb.append("."); sb.append(String.valueOf(longIP & 0x000000FF)); return sb.toString(); }	java	public static String longToIpv4(long longIP) { final StringBuilder sb = new StringBuilder(); // 直接右移24位 sb.append(String.valueOf(longIP >>> 24)); sb.append("."); // 将高8位置0，然后右移16位 sb.append(String.valueOf((longIP & 0x00FFFFFF) >>> 16)); sb.append("."); sb.append(String.valueOf((longIP & 0x0000FFFF) >>> 8)); sb.append("."); sb.append(String.valueOf(longIP & 0x000000FF)); return sb.toString(); }	[ "public", "static", "String", "longToIpv4", "(", "long", "longIP", ")", "{", "final", "StringBuilder", "sb", "=", "new", "StringBuilder", "(", ")", ";", "// 直接右移24位\r", "sb", ".", "append", "(", "String", ".", "valueOf", "(", "longIP", ">>>", "24", ")", ")", ";", "sb", ".", "append", "(", "\".\"", ")", ";", "// 将高8位置0，然后右移16位\r", "sb", ".", "append", "(", "String", ".", "valueOf", "(", "(", "longIP", "&", "0x00FFFFFF", ")", ">>>", "16", ")", ")", ";", "sb", ".", "append", "(", "\".\"", ")", ";", "sb", ".", "append", "(", "String", ".", "valueOf", "(", "(", "longIP", "&", "0x0000FFFF", ")", ">>>", "8", ")", ")", ";", "sb", ".", "append", "(", "\".\"", ")", ";", "sb", ".", "append", "(", "String", ".", "valueOf", "(", "longIP", "&", "0x000000FF", ")", ")", ";", "return", "sb", ".", "toString", "(", ")", ";", "}" ]	根据long值获取ip v4地址 @param longIP IP的long表示形式 @return IP V4 地址	[ "根据long值获取ip", "v4地址" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/net/NetUtil.java#L53-L65	train	Converts a long to a IPv4 address.	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looly/hutool	hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelUtil.java	ExcelUtil.getReader	public static ExcelReader getReader(String bookFilePath, int sheetIndex) { try { return new ExcelReader(bookFilePath, sheetIndex); } catch (NoClassDefFoundError e) { throw new DependencyException(ObjectUtil.defaultIfNull(e.getCause(), e), PoiChecker.NO_POI_ERROR_MSG); } }	java	public static ExcelReader getReader(String bookFilePath, int sheetIndex) { try { return new ExcelReader(bookFilePath, sheetIndex); } catch (NoClassDefFoundError e) { throw new DependencyException(ObjectUtil.defaultIfNull(e.getCause(), e), PoiChecker.NO_POI_ERROR_MSG); } }	[ "public", "static", "ExcelReader", "getReader", "(", "String", "bookFilePath", ",", "int", "sheetIndex", ")", "{", "try", "{", "return", "new", "ExcelReader", "(", "bookFilePath", ",", "sheetIndex", ")", ";", "}", "catch", "(", "NoClassDefFoundError", "e", ")", "{", "throw", "new", "DependencyException", "(", "ObjectUtil", ".", "defaultIfNull", "(", "e", ".", "getCause", "(", ")", ",", "e", ")", ",", "PoiChecker", ".", "NO_POI_ERROR_MSG", ")", ";", "}", "}" ]	获取Excel读取器，通过调用{@link ExcelReader}的read或readXXX方法读取Excel内容 @param bookFilePath Excel文件路径，绝对路径或相对于ClassPath路径 @param sheetIndex sheet序号，0表示第一个sheet @return {@link ExcelReader} @since 3.1.1	[ "获取Excel读取器，通过调用", "{", "@link", "ExcelReader", "}", "的read或readXXX方法读取Excel内容" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelUtil.java#L215-L221	train	Returns an ExcelReader object for the specified sheet index.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoDS.java	MongoDS.getCollection	public MongoCollection<Document> getCollection(String dbName, String collectionName) { return getDb(dbName).getCollection(collectionName); }	java	public MongoCollection<Document> getCollection(String dbName, String collectionName) { return getDb(dbName).getCollection(collectionName); }	[ "public", "MongoCollection", "<", "Document", ">", "getCollection", "(", "String", "dbName", ",", "String", "collectionName", ")", "{", "return", "getDb", "(", "dbName", ")", ".", "getCollection", "(", "collectionName", ")", ";", "}" ]	获得MongoDB中指定集合对象 @param dbName 库名 @param collectionName 集合名 @return DBCollection	[ "获得MongoDB中指定集合对象" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoDS.java#L244-L246	train	Returns a collection of documents in the database with the given name.	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apache/flink	flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/GraphAnalyticBase.java	GraphAnalyticBase.setParallelism	public GraphAnalyticBase<K, VV, EV, T> setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 \|\| parallelism == PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; return this; }	java	public GraphAnalyticBase<K, VV, EV, T> setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 \|\| parallelism == PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; return this; }	[ "public", "GraphAnalyticBase", "<", "K", ",", "VV", ",", "EV", ",", "T", ">", "setParallelism", "(", "int", "parallelism", ")", "{", "Preconditions", ".", "checkArgument", "(", "parallelism", ">", "0", "\|\|", "parallelism", "==", "PARALLELISM_DEFAULT", ",", "\"The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default).\"", ")", ";", "this", ".", "parallelism", "=", "parallelism", ";", "return", "this", ";", "}" ]	Set the parallelism for this analytic's operators. This parameter is necessary because processing a small amount of data with high operator parallelism is slow and wasteful with memory and buffers. <p>Operator parallelism should be set to this given value unless processing asymptotically more data, in which case the default job parallelism should be inherited. @param parallelism operator parallelism @return this	[ "Set", "the", "parallelism", "for", "this", "analytic", "s", "operators", ".", "This", "parameter", "is", "necessary", "because", "processing", "a", "small", "amount", "of", "data", "with", "high", "operator", "parallelism", "is", "slow", "and", "wasteful", "with", "memory", "and", "buffers", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/GraphAnalyticBase.java#L60-L67	train	Sets the parallelism of the graph.	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apache/flink	flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/NestedRow.java	NestedRow.setNullAt	@Override public void setNullAt(int i) { assertIndexIsValid(i); SegmentsUtil.bitSet(segments, offset, i + 8); SegmentsUtil.setLong(segments, getFieldOffset(i), 0); }	java	@Override public void setNullAt(int i) { assertIndexIsValid(i); SegmentsUtil.bitSet(segments, offset, i + 8); SegmentsUtil.setLong(segments, getFieldOffset(i), 0); }	[ "@", "Override", "public", "void", "setNullAt", "(", "int", "i", ")", "{", "assertIndexIsValid", "(", "i", ")", ";", "SegmentsUtil", ".", "bitSet", "(", "segments", ",", "offset", ",", "i", "+", "8", ")", ";", "SegmentsUtil", ".", "setLong", "(", "segments", ",", "getFieldOffset", "(", "i", ")", ",", "0", ")", ";", "}" ]	See {@link BinaryRow#setNullAt(int)}.	[ "See", "{" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/NestedRow.java#L83-L88	train	Sets the value of the null field at the given index.	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spring-projects/spring-boot	spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyReactiveWebServerFactory.java	JettyReactiveWebServerFactory.setServerCustomizers	public void setServerCustomizers( Collection<? extends JettyServerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); this.jettyServerCustomizers = new ArrayList<>(customizers); }	java	public void setServerCustomizers( Collection<? extends JettyServerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); this.jettyServerCustomizers = new ArrayList<>(customizers); }	[ "public", "void", "setServerCustomizers", "(", "Collection", "<", "?", "extends", "JettyServerCustomizer", ">", "customizers", ")", "{", "Assert", ".", "notNull", "(", "customizers", ",", "\"Customizers must not be null\"", ")", ";", "this", ".", "jettyServerCustomizers", "=", "new", "ArrayList", "<>", "(", "customizers", ")", ";", "}" ]	Sets {@link JettyServerCustomizer}s that will be applied to the {@link Server} before it is started. Calling this method will replace any existing customizers. @param customizers the Jetty customizers to apply	[ "Sets", "{" ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyReactiveWebServerFactory.java#L121-L125	train	Sets the server customizers.	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apache/flink	flink-mesos/src/main/java/org/apache/flink/mesos/util/MesosArtifactServer.java	MesosArtifactServer.addPath	public synchronized URL addPath(Path path, Path remoteFile) throws IOException, MalformedURLException { if (paths.containsKey(remoteFile)) { throw new IllegalArgumentException("duplicate path registered"); } if (remoteFile.isAbsolute()) { throw new IllegalArgumentException("not expecting an absolute path"); } URL fileURL = new URL(baseURL, remoteFile.toString()); router.addAny(fileURL.getPath(), new VirtualFileServerHandler(path)); paths.put(remoteFile, fileURL); return fileURL; }	java	public synchronized URL addPath(Path path, Path remoteFile) throws IOException, MalformedURLException { if (paths.containsKey(remoteFile)) { throw new IllegalArgumentException("duplicate path registered"); } if (remoteFile.isAbsolute()) { throw new IllegalArgumentException("not expecting an absolute path"); } URL fileURL = new URL(baseURL, remoteFile.toString()); router.addAny(fileURL.getPath(), new VirtualFileServerHandler(path)); paths.put(remoteFile, fileURL); return fileURL; }	[ "public", "synchronized", "URL", "addPath", "(", "Path", "path", ",", "Path", "remoteFile", ")", "throws", "IOException", ",", "MalformedURLException", "{", "if", "(", "paths", ".", "containsKey", "(", "remoteFile", ")", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"duplicate path registered\"", ")", ";", "}", "if", "(", "remoteFile", ".", "isAbsolute", "(", ")", ")", "{", "throw", "new", "IllegalArgumentException", "(", "\"not expecting an absolute path\"", ")", ";", "}", "URL", "fileURL", "=", "new", "URL", "(", "baseURL", ",", "remoteFile", ".", "toString", "(", ")", ")", ";", "router", ".", "addAny", "(", "fileURL", ".", "getPath", "(", ")", ",", "new", "VirtualFileServerHandler", "(", "path", ")", ")", ";", "paths", ".", "put", "(", "remoteFile", ",", "fileURL", ")", ";", "return", "fileURL", ";", "}" ]	Adds a path to the artifact server. @param path the qualified FS path to serve (local, hdfs, etc). @param remoteFile the remote path with which to locate the file. @return the fully-qualified remote path to the file. @throws MalformedURLException if the remote path is invalid.	[ "Adds", "a", "path", "to", "the", "artifact", "server", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-mesos/src/main/java/org/apache/flink/mesos/util/MesosArtifactServer.java#L209-L222	train	Add a path to the virtual file system.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/ds/AbstractDSFactory.java	AbstractDSFactory.createDataSource	private DataSourceWrapper createDataSource(String group) { if (group == null) { group = StrUtil.EMPTY; } final Setting config = setting.getSetting(group); if (CollectionUtil.isEmpty(config)) { throw new DbRuntimeException("No config for group: [{}]", group); } // 基本信息 final String url = config.getAndRemoveStr(KEY_ALIAS_URL); if (StrUtil.isBlank(url)) { throw new DbRuntimeException("No JDBC URL for group: [{}]", group); } // 自动识别Driver String driver = config.getAndRemoveStr(KEY_ALIAS_DRIVER); if (StrUtil.isBlank(driver)) { driver = DriverUtil.identifyDriver(url); } final String user = config.getAndRemoveStr(KEY_ALIAS_USER); final String pass = config.getAndRemoveStr(KEY_ALIAS_PASSWORD); return DataSourceWrapper.wrap(createDataSource(url, driver, user, pass, config), driver); }	java	private DataSourceWrapper createDataSource(String group) { if (group == null) { group = StrUtil.EMPTY; } final Setting config = setting.getSetting(group); if (CollectionUtil.isEmpty(config)) { throw new DbRuntimeException("No config for group: [{}]", group); } // 基本信息 final String url = config.getAndRemoveStr(KEY_ALIAS_URL); if (StrUtil.isBlank(url)) { throw new DbRuntimeException("No JDBC URL for group: [{}]", group); } // 自动识别Driver String driver = config.getAndRemoveStr(KEY_ALIAS_DRIVER); if (StrUtil.isBlank(driver)) { driver = DriverUtil.identifyDriver(url); } final String user = config.getAndRemoveStr(KEY_ALIAS_USER); final String pass = config.getAndRemoveStr(KEY_ALIAS_PASSWORD); return DataSourceWrapper.wrap(createDataSource(url, driver, user, pass, config), driver); }	[ "private", "DataSourceWrapper", "createDataSource", "(", "String", "group", ")", "{", "if", "(", "group", "==", "null", ")", "{", "group", "=", "StrUtil", ".", "EMPTY", ";", "}", "final", "Setting", "config", "=", "setting", ".", "getSetting", "(", "group", ")", ";", "if", "(", "CollectionUtil", ".", "isEmpty", "(", "config", ")", ")", "{", "throw", "new", "DbRuntimeException", "(", "\"No config for group: [{}]\"", ",", "group", ")", ";", "}", "// 基本信息\r", "final", "String", "url", "=", "config", ".", "getAndRemoveStr", "(", "KEY_ALIAS_URL", ")", ";", "if", "(", "StrUtil", ".", "isBlank", "(", "url", ")", ")", "{", "throw", "new", "DbRuntimeException", "(", "\"No JDBC URL for group: [{}]\"", ",", "group", ")", ";", "}", "// 自动识别Driver\r", "String", "driver", "=", "config", ".", "getAndRemoveStr", "(", "KEY_ALIAS_DRIVER", ")", ";", "if", "(", "StrUtil", ".", "isBlank", "(", "driver", ")", ")", "{", "driver", "=", "DriverUtil", ".", "identifyDriver", "(", "url", ")", ";", "}", "final", "String", "user", "=", "config", ".", "getAndRemoveStr", "(", "KEY_ALIAS_USER", ")", ";", "final", "String", "pass", "=", "config", ".", "getAndRemoveStr", "(", "KEY_ALIAS_PASSWORD", ")", ";", "return", "DataSourceWrapper", ".", "wrap", "(", "createDataSource", "(", "url", ",", "driver", ",", "user", ",", "pass", ",", "config", ")", ",", "driver", ")", ";", "}" ]	创建数据源 @param group 分组 @return {@link DataSourceWrapper} 数据源包装	[ "创建数据源" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/ds/AbstractDSFactory.java#L104-L128	train	Create data source wrapper.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java	BeanUtil.isEmpty	public static boolean isEmpty(Object bean) { if (null != bean) { for (Field field : ReflectUtil.getFields(bean.getClass())) { if (null != ReflectUtil.getFieldValue(bean, field)) { return false; } } } return true; }	java	public static boolean isEmpty(Object bean) { if (null != bean) { for (Field field : ReflectUtil.getFields(bean.getClass())) { if (null != ReflectUtil.getFieldValue(bean, field)) { return false; } } } return true; }	[ "public", "static", "boolean", "isEmpty", "(", "Object", "bean", ")", "{", "if", "(", "null", "!=", "bean", ")", "{", "for", "(", "Field", "field", ":", "ReflectUtil", ".", "getFields", "(", "bean", ".", "getClass", "(", ")", ")", ")", "{", "if", "(", "null", "!=", "ReflectUtil", ".", "getFieldValue", "(", "bean", ",", "field", ")", ")", "{", "return", "false", ";", "}", "}", "}", "return", "true", ";", "}" ]	判断Bean是否为空对象，空对象表示本身为<code>null</code>或者所有属性都为<code>null</code> @param bean Bean对象 @return 是否为空，<code>true</code> - 空 / <code>false</code> - 非空 @since 4.1.10	[ "判断Bean是否为空对象，空对象表示本身为<code", ">", "null<", "/", "code", ">", "或者所有属性都为<code", ">", "null<", "/", "code", ">" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java#L682-L691	train	Checks if the given object is empty.	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apache/spark	sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVectorUtils.java	ColumnVectorUtils.populate	public static void populate(WritableColumnVector col, InternalRow row, int fieldIdx) { int capacity = col.capacity; DataType t = col.dataType(); if (row.isNullAt(fieldIdx)) { col.putNulls(0, capacity); } else { if (t == DataTypes.BooleanType) { col.putBooleans(0, capacity, row.getBoolean(fieldIdx)); } else if (t == DataTypes.ByteType) { col.putBytes(0, capacity, row.getByte(fieldIdx)); } else if (t == DataTypes.ShortType) { col.putShorts(0, capacity, row.getShort(fieldIdx)); } else if (t == DataTypes.IntegerType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t == DataTypes.LongType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } else if (t == DataTypes.FloatType) { col.putFloats(0, capacity, row.getFloat(fieldIdx)); } else if (t == DataTypes.DoubleType) { col.putDoubles(0, capacity, row.getDouble(fieldIdx)); } else if (t == DataTypes.StringType) { UTF8String v = row.getUTF8String(fieldIdx); byte[] bytes = v.getBytes(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes); } } else if (t instanceof DecimalType) { DecimalType dt = (DecimalType)t; Decimal d = row.getDecimal(fieldIdx, dt.precision(), dt.scale()); if (dt.precision() <= Decimal.MAX_INT_DIGITS()) { col.putInts(0, capacity, (int)d.toUnscaledLong()); } else if (dt.precision() <= Decimal.MAX_LONG_DIGITS()) { col.putLongs(0, capacity, d.toUnscaledLong()); } else { final BigInteger integer = d.toJavaBigDecimal().unscaledValue(); byte[] bytes = integer.toByteArray(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes, 0, bytes.length); } } } else if (t instanceof CalendarIntervalType) { CalendarInterval c = (CalendarInterval)row.get(fieldIdx, t); col.getChild(0).putInts(0, capacity, c.months); col.getChild(1).putLongs(0, capacity, c.microseconds); } else if (t instanceof DateType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t instanceof TimestampType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } } }	java	public static void populate(WritableColumnVector col, InternalRow row, int fieldIdx) { int capacity = col.capacity; DataType t = col.dataType(); if (row.isNullAt(fieldIdx)) { col.putNulls(0, capacity); } else { if (t == DataTypes.BooleanType) { col.putBooleans(0, capacity, row.getBoolean(fieldIdx)); } else if (t == DataTypes.ByteType) { col.putBytes(0, capacity, row.getByte(fieldIdx)); } else if (t == DataTypes.ShortType) { col.putShorts(0, capacity, row.getShort(fieldIdx)); } else if (t == DataTypes.IntegerType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t == DataTypes.LongType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } else if (t == DataTypes.FloatType) { col.putFloats(0, capacity, row.getFloat(fieldIdx)); } else if (t == DataTypes.DoubleType) { col.putDoubles(0, capacity, row.getDouble(fieldIdx)); } else if (t == DataTypes.StringType) { UTF8String v = row.getUTF8String(fieldIdx); byte[] bytes = v.getBytes(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes); } } else if (t instanceof DecimalType) { DecimalType dt = (DecimalType)t; Decimal d = row.getDecimal(fieldIdx, dt.precision(), dt.scale()); if (dt.precision() <= Decimal.MAX_INT_DIGITS()) { col.putInts(0, capacity, (int)d.toUnscaledLong()); } else if (dt.precision() <= Decimal.MAX_LONG_DIGITS()) { col.putLongs(0, capacity, d.toUnscaledLong()); } else { final BigInteger integer = d.toJavaBigDecimal().unscaledValue(); byte[] bytes = integer.toByteArray(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes, 0, bytes.length); } } } else if (t instanceof CalendarIntervalType) { CalendarInterval c = (CalendarInterval)row.get(fieldIdx, t); col.getChild(0).putInts(0, capacity, c.months); col.getChild(1).putLongs(0, capacity, c.microseconds); } else if (t instanceof DateType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t instanceof TimestampType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } } }	[ "public", "static", "void", "populate", "(", "WritableColumnVector", "col", ",", "InternalRow", "row", ",", "int", "fieldIdx", ")", "{", "int", "capacity", "=", "col", ".", "capacity", ";", "DataType", "t", "=", "col", ".", "dataType", "(", ")", ";", "if", "(", "row", ".", "isNullAt", "(", "fieldIdx", ")", ")", "{", "col", ".", "putNulls", "(", "0", ",", "capacity", ")", ";", "}", "else", "{", "if", "(", "t", "==", "DataTypes", ".", "BooleanType", ")", "{", "col", ".", "putBooleans", "(", "0", ",", "capacity", ",", "row", ".", "getBoolean", "(", "fieldIdx", ")", ")", ";", "}", "else", "if", "(", "t", "==", "DataTypes", ".", "ByteType", ")", "{", "col", ".", "putBytes", "(", "0", ",", "capacity", ",", "row", ".", "getByte", "(", "fieldIdx", ")", ")", ";", "}", "else", "if", "(", "t", "==", "DataTypes", ".", "ShortType", ")", "{", "col", ".", "putShorts", "(", "0", 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"instanceof", "TimestampType", ")", "{", "col", ".", "putLongs", "(", "0", ",", "capacity", ",", "row", ".", "getLong", "(", "fieldIdx", ")", ")", ";", "}", "}", "}" ]	Populates the entire `col` with `row[fieldIdx]`	[ "Populates", "the", "entire", "col", "with", "row", "[", "fieldIdx", "]" ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVectorUtils.java#L48-L99	train	Populates a column vector with data from the given row.	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apache/flink	flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ClosableBlockingQueue.java	ClosableBlockingQueue.close	public boolean close() { lock.lock(); try { if (open) { if (elements.isEmpty()) { open = false; nonEmpty.signalAll(); return true; } else { return false; } } else { // already closed return true; } } finally { lock.unlock(); } }	java	public boolean close() { lock.lock(); try { if (open) { if (elements.isEmpty()) { open = false; nonEmpty.signalAll(); return true; } else { return false; } } else { // already closed return true; } } finally { lock.unlock(); } }	[ "public", "boolean", "close", "(", ")", "{", "lock", ".", "lock", "(", ")", ";", "try", "{", "if", "(", "open", ")", "{", "if", "(", "elements", ".", "isEmpty", "(", ")", ")", "{", "open", "=", "false", ";", "nonEmpty", ".", "signalAll", "(", ")", ";", "return", "true", ";", "}", "else", "{", "return", "false", ";", "}", "}", "else", "{", "// already closed", "return", "true", ";", "}", "}", "finally", "{", "lock", ".", "unlock", "(", ")", ";", "}", "}" ]	Tries to close the queue. Closing the queue only succeeds when no elements are in the queue when this method is called. Checking whether the queue is empty, and marking the queue as closed is one atomic operation. @return True, if the queue is closed, false if the queue remains open.	[ "Tries", "to", "close", "the", "queue", ".", "Closing", "the", "queue", "only", "succeeds", "when", "no", "elements", "are", "in", "the", "queue", "when", "this", "method", "is", "called", ".", "Checking", "whether", "the", "queue", "is", "empty", "and", "marking", "the", "queue", "as", "closed", "is", "one", "atomic", "operation", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ClosableBlockingQueue.java#L140-L159	train	Close the list.	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apache/flink	flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/datastream/PythonDataStream.java	PythonDataStream.filter	public PythonSingleOutputStreamOperator filter(FilterFunction<PyObject> filter) throws IOException { return new PythonSingleOutputStreamOperator(stream.filter(new PythonFilterFunction(filter))); }	java	public PythonSingleOutputStreamOperator filter(FilterFunction<PyObject> filter) throws IOException { return new PythonSingleOutputStreamOperator(stream.filter(new PythonFilterFunction(filter))); }	[ "public", "PythonSingleOutputStreamOperator", "filter", "(", "FilterFunction", "<", "PyObject", ">", "filter", ")", "throws", "IOException", "{", "return", "new", "PythonSingleOutputStreamOperator", "(", "stream", ".", "filter", "(", "new", "PythonFilterFunction", "(", "filter", ")", ")", ")", ";", "}" ]	A thin wrapper layer over {@link DataStream#filter(FilterFunction)}. @param filter The FilterFunction that is called for each element of the DataStream. @return The filtered {@link PythonDataStream}.	[ "A", "thin", "wrapper", "layer", "over", "{", "@link", "DataStream#filter", "(", "FilterFunction", ")", "}", "." ]	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#L101-L103	train	Filter the stream.	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spring-projects/spring-boot	spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/filewatch/FileSystemWatcher.java	FileSystemWatcher.start	public void start() { synchronized (this.monitor) { saveInitialSnapshots(); if (this.watchThread == null) { Map<File, FolderSnapshot> localFolders = new HashMap<>(); localFolders.putAll(this.folders); this.watchThread = new Thread(new Watcher(this.remainingScans, new ArrayList<>(this.listeners), this.triggerFilter, this.pollInterval, this.quietPeriod, localFolders)); this.watchThread.setName("File Watcher"); this.watchThread.setDaemon(this.daemon); this.watchThread.start(); } } }	java	public void start() { synchronized (this.monitor) { saveInitialSnapshots(); if (this.watchThread == null) { Map<File, FolderSnapshot> localFolders = new HashMap<>(); localFolders.putAll(this.folders); this.watchThread = new Thread(new Watcher(this.remainingScans, new ArrayList<>(this.listeners), this.triggerFilter, this.pollInterval, this.quietPeriod, localFolders)); this.watchThread.setName("File Watcher"); this.watchThread.setDaemon(this.daemon); this.watchThread.start(); } } }	[ "public", "void", "start", "(", ")", "{", "synchronized", "(", "this", ".", "monitor", ")", "{", "saveInitialSnapshots", "(", ")", ";", "if", "(", "this", ".", "watchThread", "==", "null", ")", "{", "Map", "<", "File", ",", "FolderSnapshot", ">", "localFolders", "=", "new", "HashMap", "<>", "(", ")", ";", "localFolders", ".", "putAll", "(", "this", ".", "folders", ")", ";", "this", ".", "watchThread", "=", "new", "Thread", "(", "new", "Watcher", "(", "this", ".", "remainingScans", ",", "new", "ArrayList", "<>", "(", "this", ".", "listeners", ")", ",", "this", ".", "triggerFilter", ",", "this", ".", "pollInterval", ",", "this", ".", "quietPeriod", ",", "localFolders", ")", ")", ";", "this", ".", "watchThread", ".", "setName", "(", "\"File Watcher\"", ")", ";", "this", ".", "watchThread", ".", "setDaemon", "(", "this", ".", "daemon", ")", ";", "this", ".", "watchThread", ".", "start", "(", ")", ";", "}", "}", "}" ]	Start monitoring the source folder for changes.	[ "Start", "monitoring", "the", "source", "folder", "for", "changes", "." ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/filewatch/FileSystemWatcher.java#L154-L168	train	Starts the watch thread.	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apache/spark	launcher/src/main/java/org/apache/spark/launcher/ChildProcAppHandle.java	ChildProcAppHandle.getError	@Override public Optional<Throwable> getError() { return redirector != null ? Optional.ofNullable(redirector.getError()) : Optional.empty(); }	java	@Override public Optional<Throwable> getError() { return redirector != null ? Optional.ofNullable(redirector.getError()) : Optional.empty(); }	[ "@", "Override", "public", "Optional", "<", "Throwable", ">", "getError", "(", ")", "{", "return", "redirector", "!=", "null", "?", "Optional", ".", "ofNullable", "(", "redirector", ".", "getError", "(", ")", ")", ":", "Optional", ".", "empty", "(", ")", ";", "}" ]	Parses the logs of {@code spark-submit} and returns the last exception thrown. <p> Since {@link SparkLauncher} runs {@code spark-submit} in a sub-process, it's difficult to accurately retrieve the full {@link Throwable} from the {@code spark-submit} process. This method parses the logs of the sub-process and provides a best-effort attempt at returning the last exception thrown by the {@code spark-submit} process. Only the exception message is parsed, the associated stacktrace is meaningless. @return an {@link Optional} containing a {@link RuntimeException} with the parsed exception, otherwise returns a {@link Optional#EMPTY}	[ "Parses", "the", "logs", "of", "{", "@code", "spark", "-", "submit", "}", "and", "returns", "the", "last", "exception", "thrown", ".", "<p", ">", "Since", "{", "@link", "SparkLauncher", "}", "runs", "{", "@code", "spark", "-", "submit", "}", "in", "a", "sub", "-", "process", "it", "s", "difficult", "to", "accurately", "retrieve", "the", "full", "{", "@link", "Throwable", "}", "from", "the", "{", "@code", "spark", "-", "submit", "}", "process", ".", "This", "method", "parses", "the", "logs", "of", "the", "sub", "-", "process", "and", "provides", "a", "best", "-", "effort", "attempt", "at", "returning", "the", "last", "exception", "thrown", "by", "the", "{", "@code", "spark", "-", "submit", "}", "process", ".", "Only", "the", "exception", "message", "is", "parsed", "the", "associated", "stacktrace", "is", "meaningless", "." ]	25ee0474f47d9c30d6f553a7892d9549f91071cf	https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/ChildProcAppHandle.java#L62-L65	train	Get the error.	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looly/hutool	hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java	SecureUtil.readCertificate	public static Certificate readCertificate(String type, InputStream in) { return KeyUtil.readCertificate(type, in); }	java	public static Certificate readCertificate(String type, InputStream in) { return KeyUtil.readCertificate(type, in); }	[ "public", "static", "Certificate", "readCertificate", "(", "String", "type", ",", "InputStream", "in", ")", "{", "return", "KeyUtil", ".", "readCertificate", "(", "type", ",", "in", ")", ";", "}" ]	读取Certification文件<br> Certification为证书文件<br> see: http://snowolf.iteye.com/blog/391931 @param type 类型，例如X.509 @param in {@link InputStream} 如果想从文件读取.cer文件，使用 {@link FileUtil#getInputStream(java.io.File)} 读取 @return {@link Certificate}	[ "读取Certification文件<br", ">", "Certification为证书文件<br", ">", "see", ":", "http", ":", "//", "snowolf", ".", "iteye", ".", "com", "/", "blog", "/", "391931" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L377-L379	train	Reads a certificate from an input stream.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java	NumberUtil.toBytes	public static byte[] toBytes(int value) { final byte[] result = new byte[4]; result[0] = (byte) (value >> 24); result[1] = (byte) (value >> 16); result[2] = (byte) (value >> 8); result[3] = (byte) (value /* >> 0 */); return result; }	java	public static byte[] toBytes(int value) { final byte[] result = new byte[4]; result[0] = (byte) (value >> 24); result[1] = (byte) (value >> 16); result[2] = (byte) (value >> 8); result[3] = (byte) (value /* >> 0 */); return result; }	[ "public", "static", "byte", "[", "]", "toBytes", "(", "int", "value", ")", "{", "final", "byte", "[", "]", "result", "=", "new", "byte", "[", "4", "]", ";", "result", "[", "0", "]", "=", "(", "byte", ")", "(", "value", ">>", "24", ")", ";", "result", "[", "1", "]", "=", "(", "byte", ")", "(", "value", ">>", "16", ")", ";", "result", "[", "2", "]", "=", "(", "byte", ")", "(", "value", ">>", "8", ")", ";", "result", "[", "3", "]", "=", "(", "byte", ")", "(", "value", "/* >> 0 */", ")", ";", "return", "result", ";", "}" ]	int值转byte数组，使用大端字节序（高位字节在前，低位字节在后）<br> 见：http://www.ruanyifeng.com/blog/2016/11/byte-order.html @param value 值 @return byte数组 @since 4.4.5	[ "int值转byte数组，使用大端字节序（高位字节在前，低位字节在后）<br", ">", "见：http", ":", "//", "www", ".", "ruanyifeng", ".", "com", "/", "blog", "/", "2016", "/", "11", "/", "byte", "-", "order", ".", "html" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L2202-L2211	train	Converts an int to a byte array.	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redisson/redisson	redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java	CacheConfig.fromJSON	public static Map<String, ? extends CacheConfig> fromJSON(URL url) throws IOException { return new CacheConfigSupport().fromJSON(url); }	java	public static Map<String, ? extends CacheConfig> fromJSON(URL url) throws IOException { return new CacheConfigSupport().fromJSON(url); }	[ "public", "static", "Map", "<", "String", ",", "?", "extends", "CacheConfig", ">", "fromJSON", "(", "URL", "url", ")", "throws", "IOException", "{", "return", "new", "CacheConfigSupport", "(", ")", ".", "fromJSON", "(", "url", ")", ";", "}" ]	Read config objects stored in JSON format from <code>URL</code> @param url of config @return config @throws IOException error	[ "Read", "config", "objects", "stored", "in", "JSON", "format", "from", "<code", ">", "URL<", "/", "code", ">" ]	d3acc0249b2d5d658d36d99e2c808ce49332ea44	https://github.com/redisson/redisson/blob/d3acc0249b2d5d658d36d99e2c808ce49332ea44/redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java#L146-L148	train	Creates a map of cache configs from a JSON file.	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netty/netty	handler/src/main/java/io/netty/handler/ssl/OpenSslSessionStats.java	OpenSslSessionStats.connectGood	public long connectGood() { Lock readerLock = context.ctxLock.readLock(); readerLock.lock(); try { return SSLContext.sessionConnectGood(context.ctx); } finally { readerLock.unlock(); } }	java	public long connectGood() { Lock readerLock = context.ctxLock.readLock(); readerLock.lock(); try { return SSLContext.sessionConnectGood(context.ctx); } finally { readerLock.unlock(); } }	[ "public", "long", "connectGood", "(", ")", "{", "Lock", "readerLock", "=", "context", ".", "ctxLock", ".", "readLock", "(", ")", ";", "readerLock", ".", "lock", "(", ")", ";", "try", "{", "return", "SSLContext", ".", "sessionConnectGood", "(", "context", ".", "ctx", ")", ";", "}", "finally", "{", "readerLock", ".", "unlock", "(", ")", ";", "}", "}" ]	Returns the number of successfully established SSL/TLS sessions in client mode.	[ "Returns", "the", "number", "of", "successfully", "established", "SSL", "/", "TLS", "sessions", "in", "client", "mode", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/OpenSslSessionStats.java#L69-L77	train	Get the number of good sessions.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java	FileUtil.getOutputStream	public static BufferedOutputStream getOutputStream(File file) throws IORuntimeException { try { return new BufferedOutputStream(new FileOutputStream(touch(file))); } catch (Exception e) { throw new IORuntimeException(e); } }	java	public static BufferedOutputStream getOutputStream(File file) throws IORuntimeException { try { return new BufferedOutputStream(new FileOutputStream(touch(file))); } catch (Exception e) { throw new IORuntimeException(e); } }	[ "public", "static", "BufferedOutputStream", "getOutputStream", "(", "File", "file", ")", "throws", "IORuntimeException", "{", "try", "{", "return", "new", "BufferedOutputStream", "(", "new", "FileOutputStream", "(", "touch", "(", "file", ")", ")", ")", ";", "}", "catch", "(", "Exception", "e", ")", "{", "throw", "new", "IORuntimeException", "(", "e", ")", ";", "}", "}" ]	获得一个输出流对象 @param file 文件 @return 输出流对象 @throws IORuntimeException IO异常	[ "获得一个输出流对象" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L2557-L2563	train	Creates a BufferedOutputStream for writing to the specified file.	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netty/netty	common/src/main/java/io/netty/util/internal/StringUtil.java	StringUtil.toHexString	public static <T extends Appendable> T toHexString(T dst, byte[] src) { return toHexString(dst, src, 0, src.length); }	java	public static <T extends Appendable> T toHexString(T dst, byte[] src) { return toHexString(dst, src, 0, src.length); }	[ "public", "static", "<", "T", "extends", "Appendable", ">", "T", "toHexString", "(", "T", "dst", ",", "byte", "[", "]", "src", ")", "{", "return", "toHexString", "(", "dst", ",", "src", ",", "0", ",", "src", ".", "length", ")", ";", "}" ]	Converts the specified byte array into a hexadecimal value and appends it to the specified buffer.	[ "Converts", "the", "specified", "byte", "array", "into", "a", "hexadecimal", "value", "and", "appends", "it", "to", "the", "specified", "buffer", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/internal/StringUtil.java#L174-L176	train	Convert a byte array to a hexidecimal string.	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apache/flink	flink-core/src/main/java/org/apache/flink/types/StringValue.java	StringValue.startsWith	public boolean startsWith(CharSequence prefix, int startIndex) { final char[] thisChars = this.value; final int pLen = this.len; final int sLen = prefix.length(); if ((startIndex < 0) \|\| (startIndex > pLen - sLen)) { return false; } int sPos = 0; while (sPos < sLen) { if (thisChars[startIndex++] != prefix.charAt(sPos++)) { return false; } } return true; }	java	public boolean startsWith(CharSequence prefix, int startIndex) { final char[] thisChars = this.value; final int pLen = this.len; final int sLen = prefix.length(); if ((startIndex < 0) \|\| (startIndex > pLen - sLen)) { return false; } int sPos = 0; while (sPos < sLen) { if (thisChars[startIndex++] != prefix.charAt(sPos++)) { return false; } } return true; }	[ "public", "boolean", "startsWith", "(", "CharSequence", "prefix", ",", "int", "startIndex", ")", "{", "final", "char", "[", "]", "thisChars", "=", "this", ".", "value", ";", "final", "int", "pLen", "=", "this", ".", "len", ";", "final", "int", "sLen", "=", "prefix", ".", "length", "(", ")", ";", "if", "(", "(", "startIndex", "<", "0", ")", "\|\|", "(", "startIndex", ">", "pLen", "-", "sLen", ")", ")", "{", "return", "false", ";", "}", "int", "sPos", "=", "0", ";", "while", "(", "sPos", "<", "sLen", ")", "{", "if", "(", "thisChars", "[", "startIndex", "++", "]", "!=", "prefix", ".", "charAt", "(", "sPos", "++", ")", ")", "{", "return", "false", ";", "}", "}", "return", "true", ";", "}" ]	Checks whether the substring, starting at the specified index, starts with the given prefix string. @param prefix The prefix character sequence. @param startIndex The position to start checking for the prefix. @return True, if this StringValue substring, starting at position <code>startIndex</code> has <code>prefix</code> as its prefix.	[ "Checks", "whether", "the", "substring", "starting", "at", "the", "specified", "index", "starts", "with", "the", "given", "prefix", "string", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/StringValue.java#L383-L399	train	Checks if this string starts with the given prefix.	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netty/netty	codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java	HttpUtil.getWebSocketContentLength	private static int getWebSocketContentLength(HttpMessage message) { // WebSocket messages have constant content-lengths. HttpHeaders h = message.headers(); if (message instanceof HttpRequest) { HttpRequest req = (HttpRequest) message; if (HttpMethod.GET.equals(req.method()) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY1) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY2)) { return 8; } } else if (message instanceof HttpResponse) { HttpResponse res = (HttpResponse) message; if (res.status().code() == 101 && h.contains(HttpHeaderNames.SEC_WEBSOCKET_ORIGIN) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_LOCATION)) { return 16; } } // Not a web socket message return -1; }	java	private static int getWebSocketContentLength(HttpMessage message) { // WebSocket messages have constant content-lengths. HttpHeaders h = message.headers(); if (message instanceof HttpRequest) { HttpRequest req = (HttpRequest) message; if (HttpMethod.GET.equals(req.method()) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY1) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY2)) { return 8; } } else if (message instanceof HttpResponse) { HttpResponse res = (HttpResponse) message; if (res.status().code() == 101 && h.contains(HttpHeaderNames.SEC_WEBSOCKET_ORIGIN) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_LOCATION)) { return 16; } } // Not a web socket message return -1; }	[ "private", "static", "int", "getWebSocketContentLength", "(", "HttpMessage", "message", ")", "{", "// WebSocket messages have constant content-lengths.", "HttpHeaders", "h", "=", "message", ".", "headers", "(", ")", ";", "if", "(", "message", "instanceof", "HttpRequest", ")", "{", "HttpRequest", "req", "=", "(", "HttpRequest", ")", "message", ";", "if", "(", "HttpMethod", ".", "GET", ".", "equals", "(", "req", ".", "method", "(", ")", ")", "&&", "h", ".", "contains", "(", "HttpHeaderNames", ".", "SEC_WEBSOCKET_KEY1", ")", "&&", "h", ".", "contains", "(", "HttpHeaderNames", ".", "SEC_WEBSOCKET_KEY2", ")", ")", "{", "return", "8", ";", "}", "}", "else", "if", "(", "message", "instanceof", "HttpResponse", ")", "{", "HttpResponse", "res", "=", "(", "HttpResponse", ")", "message", ";", "if", "(", "res", ".", "status", "(", ")", ".", "code", "(", ")", "==", "101", "&&", "h", ".", "contains", "(", "HttpHeaderNames", ".", "SEC_WEBSOCKET_ORIGIN", ")", "&&", "h", ".", "contains", "(", "HttpHeaderNames", ".", "SEC_WEBSOCKET_LOCATION", ")", ")", "{", "return", "16", ";", "}", "}", "// Not a web socket message", "return", "-", "1", ";", "}" ]	Returns the content length of the specified web socket message. If the specified message is not a web socket message, {@code -1} is returned.	[ "Returns", "the", "content", "length", "of", "the", "specified", "web", "socket", "message", ".", "If", "the", "specified", "message", "is", "not", "a", "web", "socket", "message", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java#L203-L224	train	Gets the content length of a web socket message.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/handler/HandleHelper.java	HandleHelper.handleRow	public static <T> T handleRow(int columnCount, ResultSetMetaData meta, ResultSet rs, T bean) throws SQLException { return handleRow(columnCount, meta, rs).toBeanIgnoreCase(bean); }	java	public static <T> T handleRow(int columnCount, ResultSetMetaData meta, ResultSet rs, T bean) throws SQLException { return handleRow(columnCount, meta, rs).toBeanIgnoreCase(bean); }	[ "public", "static", "<", "T", ">", "T", "handleRow", "(", "int", "columnCount", ",", "ResultSetMetaData", "meta", ",", "ResultSet", "rs", ",", "T", "bean", ")", "throws", "SQLException", "{", "return", "handleRow", "(", "columnCount", ",", "meta", ",", "rs", ")", ".", "toBeanIgnoreCase", "(", "bean", ")", ";", "}" ]	处理单条数据 @param columnCount 列数 @param meta ResultSetMetaData @param rs 数据集 @param bean 目标Bean @return 每一行的Entity @throws SQLException SQL执行异常 @since 3.3.1	[ "处理单条数据" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/handler/HandleHelper.java#L41-L43	train	Handle a single row of a ResultSet.	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this.currentDataBufferOffset : (this.currentDataBufferOffset \| LARGE_RECORD_TAG)); if (this.numKeyBytes != 0) { this.comparator.putNormalizedKey(record, this.currentSortIndexSegment, this.currentSortIndexOffset + OFFSET_LEN, this.numKeyBytes); } this.currentSortIndexOffset += this.indexEntrySize; this.currentDataBufferOffset = newOffset; this.numRecords++; return true; }	java	@Override public boolean write(T record) throws IOException { //check whether we need a new memory segment for the sort index if (this.currentSortIndexOffset > this.lastIndexEntryOffset) { if (memoryAvailable()) { this.currentSortIndexSegment = nextMemorySegment(); this.sortIndex.add(this.currentSortIndexSegment); this.currentSortIndexOffset = 0; this.sortIndexBytes += this.segmentSize; } else { return false; } } // serialize the record into the data buffers try { this.serializer.serialize(record, this.recordCollector); } catch (EOFException e) { return false; } final long newOffset = this.recordCollector.getCurrentOffset(); final boolean shortRecord = newOffset - this.currentDataBufferOffset < LARGE_RECORD_THRESHOLD; if (!shortRecord && LOG.isDebugEnabled()) { LOG.debug("Put a large record ( >" + LARGE_RECORD_THRESHOLD + " into the sort buffer"); } // add the pointer and the normalized key this.currentSortIndexSegment.putLong(this.currentSortIndexOffset, shortRecord ? 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redisson/redisson	redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java	CacheConfig.fromYAML	public static Map<String, ? extends CacheConfig> fromYAML(String content) throws IOException { return new CacheConfigSupport().fromYAML(content); }	java	public static Map<String, ? extends CacheConfig> fromYAML(String content) throws IOException { return new CacheConfigSupport().fromYAML(content); }	[ "public", "static", "Map", "<", "String", ",", "?", "extends", "CacheConfig", ">", "fromYAML", "(", "String", "content", ")", "throws", "IOException", "{", "return", "new", "CacheConfigSupport", "(", ")", ".", "fromYAML", "(", "content", ")", ";", "}" ]	Read config objects stored in YAML format from <code>String</code> @param content of config @return config @throws IOException error	[ "Read", "config", "objects", "stored", "in", "YAML", "format", "from", "<code", ">", "String<", "/", "code", ">" ]	d3acc0249b2d5d658d36d99e2c808ce49332ea44	https://github.com/redisson/redisson/blob/d3acc0249b2d5d658d36d99e2c808ce49332ea44/redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java#L179-L181	train	Creates a map from a YAML string.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/sql/SqlUtil.java	SqlUtil.toSqlDate	public static java.sql.Date toSqlDate(java.util.Date date) { return new java.sql.Date(date.getTime()); }	java	public static java.sql.Date toSqlDate(java.util.Date date) { return new java.sql.Date(date.getTime()); }	[ "public", "static", "java", ".", "sql", ".", "Date", "toSqlDate", "(", "java", ".", "util", ".", "Date", "date", ")", "{", "return", "new", "java", ".", "sql", ".", "Date", "(", "date", ".", "getTime", "(", ")", ")", ";", "}" ]	转换为{@link java.sql.Date} @param date {@link java.util.Date} @return {@link java.sql.Date} @since 3.1.2	[ "转换为", "{", "@link", "java", ".", "sql", ".", "Date", "}" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/sql/SqlUtil.java#L192-L194	train	Converts a java. util. Date to a java. sql. Date.	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spring-projects/spring-boot	spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskSchedulerBuilder.java	TaskSchedulerBuilder.customizers	public TaskSchedulerBuilder customizers( Iterable<TaskSchedulerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); return new TaskSchedulerBuilder(this.poolSize, this.awaitTermination, this.awaitTerminationPeriod, this.threadNamePrefix, append(null, customizers)); }	java	public TaskSchedulerBuilder customizers( Iterable<TaskSchedulerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); return new TaskSchedulerBuilder(this.poolSize, this.awaitTermination, this.awaitTerminationPeriod, this.threadNamePrefix, append(null, customizers)); }	[ "public", "TaskSchedulerBuilder", "customizers", "(", "Iterable", "<", "TaskSchedulerCustomizer", ">", "customizers", ")", "{", "Assert", ".", "notNull", "(", "customizers", ",", "\"Customizers must not be null\"", ")", ";", "return", "new", "TaskSchedulerBuilder", "(", "this", ".", "poolSize", ",", "this", ".", "awaitTermination", ",", "this", ".", "awaitTerminationPeriod", ",", "this", ".", "threadNamePrefix", ",", "append", "(", "null", ",", "customizers", ")", ")", ";", "}" ]	Set the {@link TaskSchedulerCustomizer taskSchedulerCustomizers} that should be applied to the {@link ThreadPoolTaskScheduler}. Customizers are applied in the order that they were added after builder configuration has been applied. Setting this value will replace any previously configured customizers. @param customizers the customizers to set @return a new builder instance @see #additionalCustomizers(TaskSchedulerCustomizer...)	[ "Set", "the", "{" ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskSchedulerBuilder.java#L142-L148	train	Create a new TaskSchedulerBuilder with customizers.	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looly/hutool	hutool-cron/src/main/java/cn/hutool/cron/TaskTable.java	TaskTable.executeTaskIfMatch	public void executeTaskIfMatch(long millis) { final Lock readLock = lock.readLock(); try { readLock.lock(); executeTaskIfMatchInternal(millis); } finally { readLock.unlock(); } }	java	public void executeTaskIfMatch(long millis) { final Lock readLock = lock.readLock(); try { readLock.lock(); executeTaskIfMatchInternal(millis); } finally { readLock.unlock(); } }	[ "public", "void", "executeTaskIfMatch", "(", "long", "millis", ")", "{", "final", "Lock", "readLock", "=", "lock", ".", "readLock", "(", ")", ";", "try", "{", "readLock", ".", "lock", "(", ")", ";", "executeTaskIfMatchInternal", "(", "millis", ")", ";", "}", "finally", "{", "readLock", ".", "unlock", "(", ")", ";", "}", "}" ]	如果时间匹配则执行相应的Task，带读锁 @param millis 时间毫秒	[ "如果时间匹配则执行相应的Task，带读锁" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/TaskTable.java#L200-L208	train	Executes a task if the specified time has passed.	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netty/netty	codec/src/main/java/io/netty/handler/codec/MessageToByteEncoder.java	MessageToByteEncoder.allocateBuffer	protected ByteBuf allocateBuffer(ChannelHandlerContext ctx, @SuppressWarnings("unused") I msg, boolean preferDirect) throws Exception { if (preferDirect) { return ctx.alloc().ioBuffer(); } else { return ctx.alloc().heapBuffer(); } }	java	protected ByteBuf allocateBuffer(ChannelHandlerContext ctx, @SuppressWarnings("unused") I msg, boolean preferDirect) throws Exception { if (preferDirect) { return ctx.alloc().ioBuffer(); } else { return ctx.alloc().heapBuffer(); } }	[ "protected", "ByteBuf", "allocateBuffer", "(", "ChannelHandlerContext", "ctx", ",", "@", "SuppressWarnings", "(", "\"unused\"", ")", "I", "msg", ",", "boolean", "preferDirect", ")", "throws", "Exception", "{", "if", "(", "preferDirect", ")", "{", "return", "ctx", ".", "alloc", "(", ")", ".", "ioBuffer", "(", ")", ";", "}", "else", "{", "return", "ctx", ".", "alloc", "(", ")", ".", "heapBuffer", "(", ")", ";", "}", "}" ]	Allocate a {@link ByteBuf} which will be used as argument of {@link #encode(ChannelHandlerContext, I, ByteBuf)}. Sub-classes may override this method to return {@link ByteBuf} with a perfect matching {@code initialCapacity}.	[ "Allocate", "a", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/MessageToByteEncoder.java#L137-L144	train	Allocate a buffer for a single message.	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looly/hutool	hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java	NumberUtil.sub	public static double sub(float v1, float v2) { return sub(Float.toString(v1), Float.toString(v2)).doubleValue(); }	java	public static double sub(float v1, float v2) { return sub(Float.toString(v1), Float.toString(v2)).doubleValue(); }	[ "public", "static", "double", "sub", "(", "float", "v1", ",", "float", "v2", ")", "{", "return", "sub", "(", "Float", ".", "toString", "(", "v1", ")", ",", "Float", ".", "toString", "(", "v2", ")", ")", ".", "doubleValue", "(", ")", ";", "}" ]	提供精确的减法运算 @param v1 被减数 @param v2 减数 @return 差	[ "提供精确的减法运算" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L192-L194	train	Subtract two floating point numbers.	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apache/flink	flink-core/src/main/java/org/apache/flink/types/StringValue.java	StringValue.setValue	public void setValue(CharBuffer buffer) { checkNotNull(buffer); final int len = buffer.length(); ensureSize(len); buffer.get(this.value, 0, len); this.len = len; this.hashCode = 0; }	java	public void setValue(CharBuffer buffer) { checkNotNull(buffer); final int len = buffer.length(); ensureSize(len); buffer.get(this.value, 0, len); this.len = len; this.hashCode = 0; }	[ "public", "void", "setValue", "(", "CharBuffer", "buffer", ")", "{", "checkNotNull", "(", "buffer", ")", ";", "final", "int", "len", "=", "buffer", ".", "length", "(", ")", ";", "ensureSize", "(", "len", ")", ";", "buffer", ".", "get", "(", "this", ".", "value", ",", "0", ",", "len", ")", ";", "this", ".", "len", "=", "len", ";", "this", ".", "hashCode", "=", "0", ";", "}" ]	Sets the contents of this string to the contents of the given <tt>CharBuffer</tt>. The characters between the buffer's current position (inclusive) and the buffer's limit (exclusive) will be stored in this string. @param buffer The character buffer to read the characters from.	[ "Sets", "the", "contents", "of", "this", "string", "to", "the", "contents", "of", "the", "given", "<tt", ">", "CharBuffer<", "/", "tt", ">", ".", "The", "characters", "between", "the", "buffer", "s", "current", "position", "(", "inclusive", ")", "and", "the", "buffer", "s", "limit", "(", "exclusive", ")", "will", "be", "stored", "in", "this", "string", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/StringValue.java#L205-L212	train	Sets the value of this object from the specified char buffer.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/handler/BeanHandler.java	BeanHandler.create	public static <E> BeanHandler<E> create(Class<E> beanType) { return new BeanHandler<E>(beanType); }	java	public static <E> BeanHandler<E> create(Class<E> beanType) { return new BeanHandler<E>(beanType); }	[ "public", "static", "<", "E", ">", "BeanHandler", "<", "E", ">", "create", "(", "Class", "<", "E", ">", "beanType", ")", "{", "return", "new", "BeanHandler", "<", "E", ">", "(", "beanType", ")", ";", "}" ]	创建一个 BeanHandler对象 @param <E> 处理对象类型 @param beanType Bean类型 @return BeanHandler对象	[ "创建一个", "BeanHandler对象" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/handler/BeanHandler.java#L25-L27	train	Creates a new instance of the BeanHandler class.	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netty/netty	codec-http2/src/main/java/io/netty/handler/codec/http2/ReadOnlyHttp2Headers.java	ReadOnlyHttp2Headers.serverHeaders	public static ReadOnlyHttp2Headers serverHeaders(boolean validateHeaders, AsciiString status, AsciiString... otherHeaders) { return new ReadOnlyHttp2Headers(validateHeaders, new AsciiString[] { PseudoHeaderName.STATUS.value(), status }, otherHeaders); }	java	public static ReadOnlyHttp2Headers serverHeaders(boolean validateHeaders, AsciiString status, AsciiString... otherHeaders) { return new ReadOnlyHttp2Headers(validateHeaders, new AsciiString[] { PseudoHeaderName.STATUS.value(), status }, otherHeaders); }	[ "public", "static", "ReadOnlyHttp2Headers", "serverHeaders", "(", "boolean", "validateHeaders", ",", "AsciiString", "status", ",", "AsciiString", "...", "otherHeaders", ")", "{", "return", "new", "ReadOnlyHttp2Headers", "(", "validateHeaders", ",", "new", "AsciiString", "[", "]", "{", "PseudoHeaderName", ".", "STATUS", ".", "value", "(", ")", ",", "status", "}", ",", "otherHeaders", ")", ";", "}" ]	Create a new read only representation of headers used by servers. @param validateHeaders {@code true} will run validation on each header name/value pair to ensure protocol compliance. @param status The value for {@link PseudoHeaderName#STATUS}. @param otherHeaders A an array of key:value pairs. Must not contain any <a href="https://tools.ietf.org/html/rfc7540#section-8.1.2.1">pseudo headers</a> or {@code null} names/values. A copy will <strong>NOT</strong> be made of this array. If the contents of this array may be modified externally you are responsible for passing in a copy. @return a new read only representation of headers used by servers.	[ "Create", "a", "new", "read", "only", "representation", "of", "headers", "used", "by", "servers", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/ReadOnlyHttp2Headers.java#L107-L113	train	Create a ReadOnlyHttp2Headers object with the server headers.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/instance/InstanceManager.java	InstanceManager.unregisterAllTaskManagers	public void unregisterAllTaskManagers() { for(Instance instance: registeredHostsById.values()) { deadHosts.add(instance.getTaskManagerID()); instance.markDead(); totalNumberOfAliveTaskSlots -= instance.getTotalNumberOfSlots(); notifyDeadInstance(instance); } registeredHostsById.clear(); registeredHostsByResource.clear(); }	java	public void unregisterAllTaskManagers() { for(Instance instance: registeredHostsById.values()) { deadHosts.add(instance.getTaskManagerID()); instance.markDead(); totalNumberOfAliveTaskSlots -= instance.getTotalNumberOfSlots(); notifyDeadInstance(instance); } registeredHostsById.clear(); registeredHostsByResource.clear(); }	[ "public", "void", "unregisterAllTaskManagers", "(", ")", "{", "for", "(", "Instance", "instance", ":", "registeredHostsById", ".", "values", "(", ")", ")", "{", "deadHosts", ".", "add", "(", "instance", ".", "getTaskManagerID", "(", ")", ")", ";", "instance", ".", "markDead", "(", ")", ";", "totalNumberOfAliveTaskSlots", "-=", "instance", ".", "getTotalNumberOfSlots", "(", ")", ";", "notifyDeadInstance", "(", "instance", ")", ";", "}", "registeredHostsById", ".", "clear", "(", ")", ";", "registeredHostsByResource", ".", "clear", "(", ")", ";", "}" ]	Unregisters all currently registered TaskManagers from the InstanceManager.	[ "Unregisters", "all", "currently", "registered", "TaskManagers", "from", "the", "InstanceManager", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/instance/InstanceManager.java#L230-L243	train	Unregister all TaskManagers.	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looly/hutool	hutool-db/src/main/java/cn/hutool/db/Entity.java	Entity.parseBean	@Override public <T> Entity parseBean(T bean) { if (StrUtil.isBlank(this.tableName)) { this.setTableName(StrUtil.lowerFirst(bean.getClass().getSimpleName())); } return (Entity) super.parseBean(bean); }	java	@Override public <T> Entity parseBean(T bean) { if (StrUtil.isBlank(this.tableName)) { this.setTableName(StrUtil.lowerFirst(bean.getClass().getSimpleName())); } return (Entity) super.parseBean(bean); }	[ "@", "Override", "public", "<", "T", ">", "Entity", "parseBean", "(", "T", "bean", ")", "{", "if", "(", "StrUtil", ".", "isBlank", "(", "this", ".", "tableName", ")", ")", "{", "this", ".", "setTableName", "(", "StrUtil", ".", "lowerFirst", "(", "bean", ".", "getClass", "(", ")", ".", "getSimpleName", "(", ")", ")", ")", ";", "}", "return", "(", "Entity", ")", "super", ".", "parseBean", "(", "bean", ")", ";", "}" ]	将值对象转换为Entity<br> 类名会被当作表名，小写第一个字母 @param <T> Bean对象类型 @param bean Bean对象 @return 自己	[ "将值对象转换为Entity<br", ">", "类名会被当作表名，小写第一个字母" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/Entity.java#L193-L199	train	Override this method to set the table name and the entity type.	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netty/netty	common/src/main/java/io/netty/util/internal/ResourcesUtil.java	ResourcesUtil.getFile	public static File getFile(Class resourceClass, String fileName) { try { return new File(URLDecoder.decode(resourceClass.getResource(fileName).getFile(), "UTF-8")); } catch (UnsupportedEncodingException e) { return new File(resourceClass.getResource(fileName).getFile()); } }	java	public static File getFile(Class resourceClass, String fileName) { try { return new File(URLDecoder.decode(resourceClass.getResource(fileName).getFile(), "UTF-8")); } catch (UnsupportedEncodingException e) { return new File(resourceClass.getResource(fileName).getFile()); } }	[ "public", "static", "File", "getFile", "(", "Class", "resourceClass", ",", "String", "fileName", ")", "{", "try", "{", "return", "new", "File", "(", "URLDecoder", ".", "decode", "(", "resourceClass", ".", "getResource", "(", "fileName", ")", ".", "getFile", "(", ")", ",", "\"UTF-8\"", ")", ")", ";", "}", "catch", "(", "UnsupportedEncodingException", "e", ")", "{", "return", "new", "File", "(", "resourceClass", ".", "getResource", "(", "fileName", ")", ".", "getFile", "(", ")", ")", ";", "}", "}" ]	Returns a {@link File} named {@code fileName} associated with {@link Class} {@code resourceClass} . @param resourceClass The associated class @param fileName The file name @return The file named {@code fileName} associated with {@link Class} {@code resourceClass} .	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apache/flink	flink-core/src/main/java/org/apache/flink/api/common/operators/CollectionExecutor.java	CollectionExecutor.executeDataSink	private <IN> void executeDataSink(GenericDataSinkBase<?> sink, int superStep) throws Exception { Operator<?> inputOp = sink.getInput(); if (inputOp == null) { throw new InvalidProgramException("The data sink " + sink.getName() + " has no input."); } @SuppressWarnings("unchecked") List<IN> input = (List<IN>) execute(inputOp); @SuppressWarnings("unchecked") GenericDataSinkBase<IN> typedSink = (GenericDataSinkBase<IN>) sink; // build the runtime context and compute broadcast variables, if necessary TaskInfo taskInfo = new TaskInfo(typedSink.getName(), 1, 0, 1, 0); RuntimeUDFContext ctx; MetricGroup metrics = new UnregisteredMetricsGroup(); if (RichOutputFormat.class.isAssignableFrom(typedSink.getUserCodeWrapper().getUserCodeClass())) { ctx = superStep == 0 ? new RuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics) : new IterationRuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics); } else { ctx = null; } typedSink.executeOnCollections(input, ctx, executionConfig); }	java	private <IN> void executeDataSink(GenericDataSinkBase<?> sink, int superStep) throws Exception { Operator<?> inputOp = sink.getInput(); if (inputOp == null) { throw new InvalidProgramException("The data sink " + sink.getName() + " has no input."); } @SuppressWarnings("unchecked") List<IN> input = (List<IN>) execute(inputOp); @SuppressWarnings("unchecked") GenericDataSinkBase<IN> typedSink = (GenericDataSinkBase<IN>) sink; // build the runtime context and compute broadcast variables, if necessary TaskInfo taskInfo = new TaskInfo(typedSink.getName(), 1, 0, 1, 0); RuntimeUDFContext ctx; MetricGroup metrics = new UnregisteredMetricsGroup(); if (RichOutputFormat.class.isAssignableFrom(typedSink.getUserCodeWrapper().getUserCodeClass())) { ctx = superStep == 0 ? new RuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics) : new IterationRuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics); } else { ctx = null; } typedSink.executeOnCollections(input, ctx, executionConfig); }	[ "private", "<", "IN", ">", "void", "executeDataSink", "(", "GenericDataSinkBase", "<", "?", ">", "sink", ",", "int", "superStep", ")", "throws", "Exception", "{", "Operator", "<", "?", ">", "inputOp", "=", "sink", ".", "getInput", "(", ")", ";", "if", "(", "inputOp", "==", "null", ")", "{", "throw", "new", "InvalidProgramException", "(", "\"The data sink \"", "+", "sink", ".", "getName", "(", ")", "+", "\" has no input.\"", ")", ";", "}", "@", "SuppressWarnings", "(", "\"unchecked\"", ")", "List", "<", "IN", ">", "input", "=", "(", "List", "<", "IN", ">", ")", "execute", "(", "inputOp", ")", ";", "@", "SuppressWarnings", "(", "\"unchecked\"", ")", "GenericDataSinkBase", "<", "IN", ">", "typedSink", "=", "(", "GenericDataSinkBase", "<", "IN", ">", ")", "sink", ";", "// build the runtime context and compute broadcast variables, if necessary", "TaskInfo", "taskInfo", "=", "new", "TaskInfo", "(", "typedSink", ".", "getName", "(", ")", ",", "1", ",", "0", ",", "1", ",", "0", ")", ";", "RuntimeUDFContext", "ctx", ";", "MetricGroup", "metrics", "=", "new", "UnregisteredMetricsGroup", "(", ")", ";", "if", "(", "RichOutputFormat", ".", "class", ".", "isAssignableFrom", "(", "typedSink", ".", "getUserCodeWrapper", "(", ")", ".", "getUserCodeClass", "(", ")", ")", ")", "{", "ctx", "=", "superStep", "==", "0", "?", "new", "RuntimeUDFContext", "(", "taskInfo", ",", "userCodeClassLoader", ",", "executionConfig", ",", "cachedFiles", ",", "accumulators", ",", "metrics", ")", ":", "new", "IterationRuntimeUDFContext", "(", "taskInfo", ",", "userCodeClassLoader", ",", "executionConfig", ",", "cachedFiles", ",", "accumulators", ",", "metrics", ")", ";", "}", "else", "{", "ctx", "=", "null", ";", "}", "typedSink", ".", "executeOnCollections", "(", "input", ",", "ctx", ",", "executionConfig", ")", ";", "}" ]	--------------------------------------------------------------------------------------------	[ "--------------------------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/CollectionExecutor.java#L175-L201	train	Execute a data sink.	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hankcs/HanLP	src/main/java/com/hankcs/hanlp/corpus/document/Document.java	Document.getWordList	public List<IWord> getWordList() { List<IWord> wordList = new LinkedList<IWord>(); for (Sentence sentence : sentenceList) { wordList.addAll(sentence.wordList); } return wordList; }	java	public List<IWord> getWordList() { List<IWord> wordList = new LinkedList<IWord>(); for (Sentence sentence : sentenceList) { wordList.addAll(sentence.wordList); } return wordList; }	[ "public", "List", "<", "IWord", ">", "getWordList", "(", ")", "{", "List", "<", "IWord", ">", "wordList", "=", "new", "LinkedList", "<", "IWord", ">", "(", ")", ";", "for", "(", "Sentence", "sentence", ":", "sentenceList", ")", "{", "wordList", ".", "addAll", "(", "sentence", ".", "wordList", ")", ";", "}", "return", "wordList", ";", "}" ]	获取单词序列 @return	[ "获取单词序列" ]	a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce	https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/document/Document.java#L66-L74	train	Get the word list.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/TaskExecutor.java	TaskExecutor.requestStackTraceSample	@Override public CompletableFuture<StackTraceSampleResponse> requestStackTraceSample( final ExecutionAttemptID executionAttemptId, final int sampleId, final int numSamples, final Time delayBetweenSamples, final int maxStackTraceDepth, final Time timeout) { final Task task = taskSlotTable.getTask(executionAttemptId); if (task == null) { return FutureUtils.completedExceptionally( new IllegalStateException(String.format("Cannot sample task %s. " + "Task is not known to the task manager.", executionAttemptId))); } final CompletableFuture<List<StackTraceElement[]>> stackTracesFuture = stackTraceSampleService.requestStackTraceSample( TaskStackTraceSampleableTaskAdapter.fromTask(task), numSamples, delayBetweenSamples, maxStackTraceDepth); return stackTracesFuture.thenApply(stackTraces -> new StackTraceSampleResponse(sampleId, executionAttemptId, stackTraces)); }	java	@Override public CompletableFuture<StackTraceSampleResponse> requestStackTraceSample( final ExecutionAttemptID executionAttemptId, final int sampleId, final int numSamples, final Time delayBetweenSamples, final int maxStackTraceDepth, final Time timeout) { final Task task = taskSlotTable.getTask(executionAttemptId); if (task == null) { return FutureUtils.completedExceptionally( new IllegalStateException(String.format("Cannot sample task %s. " + "Task is not known to the task manager.", executionAttemptId))); } final CompletableFuture<List<StackTraceElement[]>> stackTracesFuture = stackTraceSampleService.requestStackTraceSample( TaskStackTraceSampleableTaskAdapter.fromTask(task), numSamples, delayBetweenSamples, maxStackTraceDepth); return stackTracesFuture.thenApply(stackTraces -> new StackTraceSampleResponse(sampleId, executionAttemptId, stackTraces)); }	[ "@", "Override", "public", "CompletableFuture", "<", "StackTraceSampleResponse", ">", "requestStackTraceSample", "(", "final", "ExecutionAttemptID", "executionAttemptId", ",", "final", "int", "sampleId", ",", "final", "int", "numSamples", ",", "final", "Time", "delayBetweenSamples", ",", "final", "int", "maxStackTraceDepth", ",", "final", "Time", "timeout", ")", "{", "final", "Task", "task", "=", "taskSlotTable", ".", "getTask", "(", "executionAttemptId", ")", ";", "if", "(", "task", "==", "null", ")", "{", "return", "FutureUtils", ".", "completedExceptionally", "(", "new", "IllegalStateException", "(", "String", ".", "format", "(", "\"Cannot sample task %s. \"", "+", "\"Task is not known to the task manager.\"", ",", "executionAttemptId", ")", ")", ")", ";", "}", "final", "CompletableFuture", "<", "List", "<", "StackTraceElement", "[", "]", ">", ">", "stackTracesFuture", "=", "stackTraceSampleService", ".", "requestStackTraceSample", "(", "TaskStackTraceSampleableTaskAdapter", ".", "fromTask", "(", "task", ")", ",", "numSamples", ",", "delayBetweenSamples", ",", "maxStackTraceDepth", ")", ";", "return", "stackTracesFuture", ".", "thenApply", "(", "stackTraces", "->", "new", "StackTraceSampleResponse", "(", "sampleId", ",", "executionAttemptId", ",", "stackTraces", ")", ")", ";", "}" ]	======================================================================	[ "======================================================================" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/TaskExecutor.java#L403-L427	train	Request a stack trace sample.	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spring-projects/spring-boot	spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java	JSONObject.optDouble	public double optDouble(String name, double fallback) { Object object = opt(name); Double result = JSON.toDouble(object); return result != null ? result : fallback; }	java	public double optDouble(String name, double fallback) { Object object = opt(name); Double result = JSON.toDouble(object); return result != null ? result : fallback; }	[ "public", "double", "optDouble", "(", "String", "name", ",", "double", "fallback", ")", "{", "Object", "object", "=", "opt", "(", "name", ")", ";", "Double", "result", "=", "JSON", ".", "toDouble", "(", "object", ")", ";", "return", "result", "!=", "null", "?", "result", ":", "fallback", ";", "}" ]	Returns the value mapped by {@code name} if it exists and is a double or can be coerced to a double. Returns {@code fallback} otherwise. @param name the name of the property @param fallback a fallback value @return the value or {@code fallback}	[ "Returns", "the", "value", "mapped", "by", "{" ]	0b27f7c70e164b2b1a96477f1d9c1acba56790c1	https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java#L465-L469	train	Get the property as a double or fallback if the property is not present or is not a double.	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netty/netty	transport/src/main/java/io/netty/channel/AbstractCoalescingBufferQueue.java	AbstractCoalescingBufferQueue.composeIntoComposite	protected final ByteBuf composeIntoComposite(ByteBufAllocator alloc, ByteBuf cumulation, ByteBuf next) { // Create a composite buffer to accumulate this pair and potentially all the buffers // in the queue. Using +2 as we have already dequeued current and next. CompositeByteBuf composite = alloc.compositeBuffer(size() + 2); try { composite.addComponent(true, cumulation); composite.addComponent(true, next); } catch (Throwable cause) { composite.release(); safeRelease(next); throwException(cause); } return composite; }	java	protected final ByteBuf composeIntoComposite(ByteBufAllocator alloc, ByteBuf cumulation, ByteBuf next) { // Create a composite buffer to accumulate this pair and potentially all the buffers // in the queue. Using +2 as we have already dequeued current and next. CompositeByteBuf composite = alloc.compositeBuffer(size() + 2); try { composite.addComponent(true, cumulation); composite.addComponent(true, next); } catch (Throwable cause) { composite.release(); safeRelease(next); throwException(cause); } return composite; }	[ "protected", "final", "ByteBuf", "composeIntoComposite", "(", "ByteBufAllocator", "alloc", ",", "ByteBuf", "cumulation", ",", "ByteBuf", "next", ")", "{", "// Create a composite buffer to accumulate this pair and potentially all the buffers", "// in the queue. Using +2 as we have already dequeued current and next.", "CompositeByteBuf", "composite", "=", "alloc", ".", "compositeBuffer", "(", "size", "(", ")", "+", "2", ")", ";", "try", "{", "composite", ".", "addComponent", "(", "true", ",", "cumulation", ")", ";", "composite", ".", "addComponent", "(", "true", ",", "next", ")", ";", "}", "catch", "(", "Throwable", "cause", ")", "{", "composite", ".", "release", "(", ")", ";", "safeRelease", "(", "next", ")", ";", "throwException", "(", "cause", ")", ";", "}", "return", "composite", ";", "}" ]	Compose {@code cumulation} and {@code next} into a new {@link CompositeByteBuf}.	[ "Compose", "{" ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/AbstractCoalescingBufferQueue.java#L270-L283	train	Compose two buffers into a composite buffer.	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looly/hutool	hutool-crypto/src/main/java/cn/hutool/crypto/BCUtil.java	BCUtil.readPublicKey	public static PublicKey readPublicKey(InputStream pemStream) { final Certificate certificate = KeyUtil.readX509Certificate(pemStream); if(null == certificate) { return null; } return certificate.getPublicKey(); }	java	public static PublicKey readPublicKey(InputStream pemStream) { final Certificate certificate = KeyUtil.readX509Certificate(pemStream); if(null == certificate) { return null; } return certificate.getPublicKey(); }	[ "public", "static", "PublicKey", "readPublicKey", "(", "InputStream", "pemStream", ")", "{", "final", "Certificate", "certificate", "=", "KeyUtil", ".", "readX509Certificate", "(", "pemStream", ")", ";", "if", "(", "null", "==", "certificate", ")", "{", "return", "null", ";", "}", "return", "certificate", ".", "getPublicKey", "(", ")", ";", "}" ]	读取PEM格式的公钥 @param pemStream pem流 @return {@link PublicKey} @since 4.5.2	[ "读取PEM格式的公钥" ]	bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a	https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/BCUtil.java#L109-L115	train	Reads a public key from the specified input stream.	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apache/flink	flink-runtime/src/main/java/org/apache/flink/runtime/concurrent/FutureUtils.java	FutureUtils.waitForAll	public static ConjunctFuture<Void> waitForAll(Collection<? extends CompletableFuture<?>> futures) { checkNotNull(futures, "futures"); return new WaitingConjunctFuture(futures); }	java	public static ConjunctFuture<Void> waitForAll(Collection<? extends CompletableFuture<?>> futures) { checkNotNull(futures, "futures"); return new WaitingConjunctFuture(futures); }	[ "public", "static", "ConjunctFuture", "<", "Void", ">", "waitForAll", "(", "Collection", "<", "?", "extends", "CompletableFuture", "<", "?", ">", ">", "futures", ")", "{", "checkNotNull", "(", "futures", ",", "\"futures\"", ")", ";", "return", "new", "WaitingConjunctFuture", "(", "futures", ")", ";", "}" ]	Creates a future that is complete once all of the given futures have completed. The future fails (completes exceptionally) once one of the given futures fails. <p>The ConjunctFuture gives access to how many Futures have already completed successfully, via {@link ConjunctFuture#getNumFuturesCompleted()}. @param futures The futures to wait on. No null entries are allowed. @return The WaitingFuture that completes once all given futures are complete (or one fails).	[ "Creates", "a", "future", "that", "is", "complete", "once", "all", "of", "the", "given", "futures", "have", "completed", ".", "The", "future", "fails", "(", "completes", "exceptionally", ")", "once", "one", "of", "the", "given", "futures", "fails", "." ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/concurrent/FutureUtils.java#L528-L532	train	Waits all the given futures to complete.	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apache/flink	flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/BulkPartialSolutionNode.java	BulkPartialSolutionNode.setCandidateProperties	public void setCandidateProperties(GlobalProperties gProps, LocalProperties lProps, Channel initialInput) { if (this.cachedPlans != null) { throw new IllegalStateException(); } else { this.cachedPlans = Collections.<PlanNode>singletonList(new BulkPartialSolutionPlanNode(this, "PartialSolution ("+this.getOperator().getName()+")", gProps, lProps, initialInput)); } }	java	public void setCandidateProperties(GlobalProperties gProps, LocalProperties lProps, Channel initialInput) { if (this.cachedPlans != null) { throw new IllegalStateException(); } else { this.cachedPlans = Collections.<PlanNode>singletonList(new BulkPartialSolutionPlanNode(this, "PartialSolution ("+this.getOperator().getName()+")", gProps, lProps, initialInput)); } }	[ "public", "void", "setCandidateProperties", "(", "GlobalProperties", "gProps", ",", "LocalProperties", "lProps", ",", "Channel", "initialInput", ")", "{", "if", "(", "this", ".", "cachedPlans", "!=", "null", ")", "{", "throw", "new", "IllegalStateException", "(", ")", ";", "}", "else", "{", "this", ".", "cachedPlans", "=", "Collections", ".", "<", "PlanNode", ">", "singletonList", "(", "new", "BulkPartialSolutionPlanNode", "(", "this", ",", "\"PartialSolution (\"", "+", "this", ".", "getOperator", "(", ")", ".", "getName", "(", ")", "+", "\")\"", ",", "gProps", ",", "lProps", ",", "initialInput", ")", ")", ";", "}", "}" ]	--------------------------------------------------------------------------------------------	[ "--------------------------------------------------------------------------------------------" ]	b62db93bf63cb3bb34dd03d611a779d9e3fc61ac	https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/BulkPartialSolutionNode.java#L47-L54	train	Sets the candidate properties of this partial solution.	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netty/netty	common/src/main/java/io/netty/util/CharsetUtil.java	CharsetUtil.encoder	public static CharsetEncoder encoder(Charset charset, CodingErrorAction codingErrorAction) { return encoder(charset, codingErrorAction, codingErrorAction); }	java	public static CharsetEncoder encoder(Charset charset, CodingErrorAction codingErrorAction) { return encoder(charset, codingErrorAction, codingErrorAction); }	[ "public", "static", "CharsetEncoder", "encoder", "(", "Charset", "charset", ",", "CodingErrorAction", "codingErrorAction", ")", "{", "return", "encoder", "(", "charset", ",", "codingErrorAction", ",", "codingErrorAction", ")", ";", "}" ]	Returns a new {@link CharsetEncoder} for the {@link Charset} with the specified error action. @param charset The specified charset @param codingErrorAction The encoder's action for malformed-input and unmappable-character errors @return The encoder for the specified {@code charset}	[ "Returns", "a", "new", "{", "@link", "CharsetEncoder", "}", "for", "the", "{", "@link", "Charset", "}", "with", "the", "specified", "error", "action", "." ]	ba06eafa1c1824bd154f1a380019e7ea2edf3c4c	https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/CharsetUtil.java#L103-L105	train	Create a charset encoder for the given charset.	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apache/flink

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

SortPartitionOperator.translateToDataFlow

protected org.apache.flink.api.common.operators.SingleInputOperator<?, T, ?> translateToDataFlow(Operator<T> input) { String name = "Sort at " + sortLocationName; if (useKeySelector) { return translateToDataFlowWithKeyExtractor(input, (Keys.SelectorFunctionKeys<T, ?>) keys.get(0), orders.get(0), name); } // flatten sort key positions List<Integer> allKeyPositions = new ArrayList<>(); List<Order> allOrders = new ArrayList<>(); for (int i = 0, length = keys.size(); i < length; i++) { int[] sortKeyPositions = keys.get(i).computeLogicalKeyPositions(); Order order = orders.get(i); for (int sortKeyPosition : sortKeyPositions) { allKeyPositions.add(sortKeyPosition); allOrders.add(order); } } Ordering partitionOrdering = new Ordering(); for (int i = 0, length = allKeyPositions.size(); i < length; i++) { partitionOrdering.appendOrdering(allKeyPositions.get(i), null, allOrders.get(i)); } // distinguish between partition types UnaryOperatorInformation<T, T> operatorInfo = new UnaryOperatorInformation<>(getType(), getType()); SortPartitionOperatorBase<T> noop = new SortPartitionOperatorBase<>(operatorInfo, partitionOrdering, name); noop.setInput(input); if (this.getParallelism() < 0) { // use parallelism of input if not explicitly specified noop.setParallelism(input.getParallelism()); } else { // use explicitly specified parallelism noop.setParallelism(this.getParallelism()); } return noop; }

java

protected org.apache.flink.api.common.operators.SingleInputOperator<?, T, ?> translateToDataFlow(Operator<T> input) { String name = "Sort at " + sortLocationName; if (useKeySelector) { return translateToDataFlowWithKeyExtractor(input, (Keys.SelectorFunctionKeys<T, ?>) keys.get(0), orders.get(0), name); } // flatten sort key positions List<Integer> allKeyPositions = new ArrayList<>(); List<Order> allOrders = new ArrayList<>(); for (int i = 0, length = keys.size(); i < length; i++) { int[] sortKeyPositions = keys.get(i).computeLogicalKeyPositions(); Order order = orders.get(i); for (int sortKeyPosition : sortKeyPositions) { allKeyPositions.add(sortKeyPosition); allOrders.add(order); } } Ordering partitionOrdering = new Ordering(); for (int i = 0, length = allKeyPositions.size(); i < length; i++) { partitionOrdering.appendOrdering(allKeyPositions.get(i), null, allOrders.get(i)); } // distinguish between partition types UnaryOperatorInformation<T, T> operatorInfo = new UnaryOperatorInformation<>(getType(), getType()); SortPartitionOperatorBase<T> noop = new SortPartitionOperatorBase<>(operatorInfo, partitionOrdering, name); noop.setInput(input); if (this.getParallelism() < 0) { // use parallelism of input if not explicitly specified noop.setParallelism(input.getParallelism()); } else { // use explicitly specified parallelism noop.setParallelism(this.getParallelism()); } return noop; }

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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#L165-L205

train

Translate the input operator to a data flow.

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spring-projects/spring-boot

spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/context/ServletWebServerApplicationContext.java

ServletWebServerApplicationContext.postProcessBeanFactory

@Override protected void postProcessBeanFactory(ConfigurableListableBeanFactory beanFactory) { beanFactory.addBeanPostProcessor( new WebApplicationContextServletContextAwareProcessor(this)); beanFactory.ignoreDependencyInterface(ServletContextAware.class); registerWebApplicationScopes(); }

java

@Override protected void postProcessBeanFactory(ConfigurableListableBeanFactory beanFactory) { beanFactory.addBeanPostProcessor( new WebApplicationContextServletContextAwareProcessor(this)); beanFactory.ignoreDependencyInterface(ServletContextAware.class); registerWebApplicationScopes(); }

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Register ServletContextAwareProcessor. @see ServletContextAwareProcessor

[ "Register", "ServletContextAwareProcessor", "." ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/context/ServletWebServerApplicationContext.java#L131-L137

train

Add a post processor to the bean factory.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java

DateUtil.weekCount

public static int weekCount(Date start, Date end) { final Calendar startCalendar = Calendar.getInstance(); startCalendar.setTime(start); final Calendar endCalendar = Calendar.getInstance(); endCalendar.setTime(end); final int startWeekofYear = startCalendar.get(Calendar.WEEK_OF_YEAR); final int endWeekofYear = endCalendar.get(Calendar.WEEK_OF_YEAR); int count = endWeekofYear - startWeekofYear + 1; if (Calendar.SUNDAY != startCalendar.get(Calendar.DAY_OF_WEEK)) { count--; } return count; }

java

public static int weekCount(Date start, Date end) { final Calendar startCalendar = Calendar.getInstance(); startCalendar.setTime(start); final Calendar endCalendar = Calendar.getInstance(); endCalendar.setTime(end); final int startWeekofYear = startCalendar.get(Calendar.WEEK_OF_YEAR); final int endWeekofYear = endCalendar.get(Calendar.WEEK_OF_YEAR); int count = endWeekofYear - startWeekofYear + 1; if (Calendar.SUNDAY != startCalendar.get(Calendar.DAY_OF_WEEK)) { count--; } return count; }

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计算指定指定时间区间内的周数 @param start 开始时间 @param end 结束时间 @return 周数

[ "计算指定指定时间区间内的周数" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java#L1455-L1471

train

Returns the number of days between two dates.

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spring-projects/spring-boot

spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/AstUtils.java

AstUtils.subclasses

public static boolean subclasses(ClassNode node, String... types) { for (String type : types) { if (node.getSuperClass().getName().equals(type)) { return true; } } return false; }

java

public static boolean subclasses(ClassNode node, String... types) { for (String type : types) { if (node.getSuperClass().getName().equals(type)) { return true; } } return false; }

[ "public", "static", "boolean", "subclasses", "(", "ClassNode", "node", ",", "String", "...", "types", ")", "{", "for", "(", "String", "type", ":", "types", ")", "{", "if", "(", "node", ".", "getSuperClass", "(", ")", ".", "getName", "(", ")", ".", "equals", "(", "type", ")", ")", "{", "return", "true", ";", "}", "}", "return", "false", ";", "}" ]

Determine if a {@link ClassNode} subclasses any of the specified types N.B. the type names are not normally fully qualified. @param node the class to examine @param types the types that may have been sub-classed @return {@code true} if the class subclasses any of the specified types, otherwise {@code false}

[ "Determine", "if", "a", "{" ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-cli/src/main/java/org/springframework/boot/cli/compiler/AstUtils.java#L123-L130

train

Checks if the class node is subclasses of the given types.

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looly/hutool

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

ArrayUtil.swap

public static int[] swap(int[] array, int index1, int index2) { if (isEmpty(array)) { throw new IllegalArgumentException("Number array must not empty !"); } int tmp = array[index1]; array[index1] = array[index2]; array[index2] = tmp; return array; }

java

public static int[] swap(int[] array, int index1, int index2) { if (isEmpty(array)) { throw new IllegalArgumentException("Number array must not empty !"); } int tmp = array[index1]; array[index1] = array[index2]; array[index2] = tmp; return array; }

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交换数组中两个位置的值 @param array 数组 @param index1 位置1 @param index2 位置2 @return 交换后的数组，与传入数组为同一对象 @since 4.0.7

[ "交换数组中两个位置的值" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L3590-L3598

train

Swaps the elements of an int array at the specified positions.

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apache/flink

flink-streaming-java/src/main/java/org/apache/flink/streaming/api/transformations/FeedbackTransformation.java

FeedbackTransformation.addFeedbackEdge

public void addFeedbackEdge(StreamTransformation<T> transform) { if (transform.getParallelism() != this.getParallelism()) { throw new UnsupportedOperationException( "Parallelism of the feedback stream must match the parallelism of the original" + " stream. Parallelism of original stream: " + this.getParallelism() + "; parallelism of feedback stream: " + transform.getParallelism() + ". Parallelism can be modified using DataStream#setParallelism() method"); } feedbackEdges.add(transform); }

java

public void addFeedbackEdge(StreamTransformation<T> transform) { if (transform.getParallelism() != this.getParallelism()) { throw new UnsupportedOperationException( "Parallelism of the feedback stream must match the parallelism of the original" + " stream. Parallelism of original stream: " + this.getParallelism() + "; parallelism of feedback stream: " + transform.getParallelism() + ". Parallelism can be modified using DataStream#setParallelism() method"); } feedbackEdges.add(transform); }

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Adds a feedback edge. The parallelism of the {@code StreamTransformation} must match the parallelism of the input {@code StreamTransformation} of this {@code FeedbackTransformation} @param transform The new feedback {@code StreamTransformation}.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/transformations/FeedbackTransformation.java#L84-L95

train

Adds a feedback edge to this data stream.

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apache/flink

flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnIntraNonHaMasterServices.java

YarnIntraNonHaMasterServices.close

@Override public void close() throws Exception { if (enterUnlessClosed()) { try { try { // this class' own cleanup logic resourceManagerLeaderElectionService.shutdown(); dispatcher.shutdownNow(); } finally { // in any case must we call the parent cleanup logic super.close(); } } finally { exit(); } } }

java

@Override public void close() throws Exception { if (enterUnlessClosed()) { try { try { // this class' own cleanup logic resourceManagerLeaderElectionService.shutdown(); dispatcher.shutdownNow(); } finally { // in any case must we call the parent cleanup logic super.close(); } } finally { exit(); } } }

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

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

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnIntraNonHaMasterServices.java#L227-L245

train

Close the connection.

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looly/hutool

hutool-extra/src/main/java/cn/hutool/extra/template/engine/thymeleaf/ThymeleafTemplate.java

ThymeleafTemplate.wrap

public static ThymeleafTemplate wrap(TemplateEngine engine, String template, Charset charset) { return (null == engine) ? null : new ThymeleafTemplate(engine, template, charset); }

java

public static ThymeleafTemplate wrap(TemplateEngine engine, String template, Charset charset) { return (null == engine) ? null : new ThymeleafTemplate(engine, template, charset); }

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包装Thymeleaf模板 @param engine Thymeleaf的模板引擎对象 {@link TemplateEngine} @param template 模板路径或模板内容 @param charset 编码 @return {@link ThymeleafTemplate}

[ "包装Thymeleaf模板" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/template/engine/thymeleaf/ThymeleafTemplate.java#L41-L43

train

Wrap a template in a ThymeleafTemplate.

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apache/flink

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

Graph.joinWithEdgesOnSource

public <T> Graph<K, VV, EV> joinWithEdgesOnSource(DataSet<Tuple2<K, T>> inputDataSet, final EdgeJoinFunction<EV, T> edgeJoinFunction) { DataSet<Edge<K, EV>> resultedEdges = this.getEdges() .coGroup(inputDataSet).where(0).equalTo(0) .with(new ApplyCoGroupToEdgeValuesOnEitherSourceOrTarget<>(edgeJoinFunction)) .name("Join with edges on source"); return new Graph<>(this.vertices, resultedEdges, this.context); }

java

public <T> Graph<K, VV, EV> joinWithEdgesOnSource(DataSet<Tuple2<K, T>> inputDataSet, final EdgeJoinFunction<EV, T> edgeJoinFunction) { DataSet<Edge<K, EV>> resultedEdges = this.getEdges() .coGroup(inputDataSet).where(0).equalTo(0) .with(new ApplyCoGroupToEdgeValuesOnEitherSourceOrTarget<>(edgeJoinFunction)) .name("Join with edges on source"); return new Graph<>(this.vertices, resultedEdges, this.context); }

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Joins the edge DataSet with an input Tuple2 DataSet and applies a user-defined transformation on the values of the matched records. The source ID of the edges input and the first field of the input DataSet are used as join keys. @param inputDataSet the DataSet to join with. The first field of the Tuple2 is used as the join key and the second field is passed as a parameter to the transformation function. @param edgeJoinFunction the transformation function to apply. The first parameter is the current edge value and the second parameter is the value of the matched Tuple2 from the input DataSet. @param <T> the type of the second field of the input Tuple2 DataSet. @return a new Graph, where the edge values have been updated according to the result of the edgeJoinFunction.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L785-L794

train

Join the graph with edges on the source DataSet.

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looly/hutool

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

HttpConnection.header

public HttpConnection header(Header header, String value, boolean isOverride) { return header(header.toString(), value, isOverride); }

java

public HttpConnection header(Header header, String value, boolean isOverride) { return header(header.toString(), value, isOverride); }

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设置请求头 当请求头存在时，覆盖之 @param header 头名 @param value 头值 @param isOverride 是否覆盖旧值 @return HttpConnection

[ "设置请求头<br", ">", "当请求头存在时，覆盖之" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpConnection.java#L196-L198

train

Adds a header to the connection.

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spring-projects/spring-boot

spring-boot-project/spring-boot/src/main/java/org/springframework/boot/origin/OriginTrackedValue.java

OriginTrackedValue.of

public static OriginTrackedValue of(Object value, Origin origin) { if (value == null) { return null; } if (value instanceof CharSequence) { return new OriginTrackedCharSequence((CharSequence) value, origin); } return new OriginTrackedValue(value, origin); }

java

public static OriginTrackedValue of(Object value, Origin origin) { if (value == null) { return null; } if (value instanceof CharSequence) { return new OriginTrackedCharSequence((CharSequence) value, origin); } return new OriginTrackedValue(value, origin); }

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Create an {@link OriginTrackedValue} containing the specified {@code value} and {@code origin}. If the source value implements {@link CharSequence} then so will the resulting {@link OriginTrackedValue}. @param value the source value @param origin the origin @return an {@link OriginTrackedValue} or {@code null} if the source value was {@code null}.

[ "Create", "an", "{" ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/origin/OriginTrackedValue.java#L85-L93

train

Create an OriginTrackedValue from the given value and origin.

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apache/flink

flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/util/KinesisConfigUtil.java

KinesisConfigUtil.backfillConsumerKeys

public static Properties backfillConsumerKeys(Properties configProps) { HashMap<String, String> oldKeyToNewKeys = new HashMap<>(); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_BASE, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_BASE); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_MAX, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_MAX); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_EXPONENTIAL_CONSTANT, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_EXPONENTIAL_CONSTANT); for (Map.Entry<String, String> entry : oldKeyToNewKeys.entrySet()) { String oldKey = entry.getKey(); String newKey = entry.getValue(); if (configProps.containsKey(oldKey)) { configProps.setProperty(newKey, configProps.getProperty(oldKey)); // Do not remove the oldKey since they may be used in the context of talking to DynamoDB streams } } return configProps; }

java

public static Properties backfillConsumerKeys(Properties configProps) { HashMap<String, String> oldKeyToNewKeys = new HashMap<>(); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_BASE, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_BASE); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_MAX, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_MAX); oldKeyToNewKeys.put(ConsumerConfigConstants.STREAM_DESCRIBE_BACKOFF_EXPONENTIAL_CONSTANT, ConsumerConfigConstants.LIST_SHARDS_BACKOFF_EXPONENTIAL_CONSTANT); for (Map.Entry<String, String> entry : oldKeyToNewKeys.entrySet()) { String oldKey = entry.getKey(); String newKey = entry.getValue(); if (configProps.containsKey(oldKey)) { configProps.setProperty(newKey, configProps.getProperty(oldKey)); // Do not remove the oldKey since they may be used in the context of talking to DynamoDB streams } } return configProps; }

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A set of configuration paremeters associated with the describeStreams API may be used if: 1) an legacy client wants to consume from Kinesis 2) a current client wants to consumer from DynamoDB streams In the context of 1), the set of configurations needs to be translated to the corresponding configurations in the Kinesis listShards API. In the mean time, keep these configs since they are applicable in the context of 2), i.e., polling data from a DynamoDB stream. @param configProps original config properties. @return backfilled config properties.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/util/KinesisConfigUtil.java#L210-L224

train

Backfill the consumer keys in the given configuration properties.

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netty/netty

codec-http2/src/main/java/io/netty/handler/codec/http2/Http2ConnectionHandler.java

Http2ConnectionHandler.handleServerHeaderDecodeSizeError

protected void handleServerHeaderDecodeSizeError(ChannelHandlerContext ctx, Http2Stream stream) { encoder().writeHeaders(ctx, stream.id(), HEADERS_TOO_LARGE_HEADERS, 0, true, ctx.newPromise()); }

java

protected void handleServerHeaderDecodeSizeError(ChannelHandlerContext ctx, Http2Stream stream) { encoder().writeHeaders(ctx, stream.id(), HEADERS_TOO_LARGE_HEADERS, 0, true, ctx.newPromise()); }

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Notifies client that this server has received headers that are larger than what it is willing to accept. Override to change behavior. @param ctx the channel context @param stream the Http2Stream on which the header was received

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/Http2ConnectionHandler.java#L732-L734

train

Handle server header decode size error.

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looly/hutool

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

MapUtil.get

public static <T> T get(Map<?, ?> map, Object key, Class<T> type) { return null == map ? null : Convert.convert(type, map.get(key)); }

java

public static <T> T get(Map<?, ?> map, Object key, Class<T> type) { return null == map ? null : Convert.convert(type, map.get(key)); }

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获取Map指定key的值，并转换为指定类型 @param <T> 目标值类型 @param map Map @param key 键 @param type 值类型 @return 值 @since 4.0.6

[ "获取Map指定key的值，并转换为指定类型" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L866-L868

train

Get the value of the given key from the map.

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netty/netty

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

HttpConversionUtil.toHttp2Headers

public static Http2Headers toHttp2Headers(HttpMessage in, boolean validateHeaders) { HttpHeaders inHeaders = in.headers(); final Http2Headers out = new DefaultHttp2Headers(validateHeaders, inHeaders.size()); if (in instanceof HttpRequest) { HttpRequest request = (HttpRequest) in; URI requestTargetUri = URI.create(request.uri()); out.path(toHttp2Path(requestTargetUri)); out.method(request.method().asciiName()); setHttp2Scheme(inHeaders, requestTargetUri, out); if (!isOriginForm(requestTargetUri) && !isAsteriskForm(requestTargetUri)) { // Attempt to take from HOST header before taking from the request-line String host = inHeaders.getAsString(HttpHeaderNames.HOST); setHttp2Authority((host == null || host.isEmpty()) ? requestTargetUri.getAuthority() : host, out); } } else if (in instanceof HttpResponse) { HttpResponse response = (HttpResponse) in; out.status(response.status().codeAsText()); } // Add the HTTP headers which have not been consumed above toHttp2Headers(inHeaders, out); return out; }

java

public static Http2Headers toHttp2Headers(HttpMessage in, boolean validateHeaders) { HttpHeaders inHeaders = in.headers(); final Http2Headers out = new DefaultHttp2Headers(validateHeaders, inHeaders.size()); if (in instanceof HttpRequest) { HttpRequest request = (HttpRequest) in; URI requestTargetUri = URI.create(request.uri()); out.path(toHttp2Path(requestTargetUri)); out.method(request.method().asciiName()); setHttp2Scheme(inHeaders, requestTargetUri, out); if (!isOriginForm(requestTargetUri) && !isAsteriskForm(requestTargetUri)) { // Attempt to take from HOST header before taking from the request-line String host = inHeaders.getAsString(HttpHeaderNames.HOST); setHttp2Authority((host == null || host.isEmpty()) ? requestTargetUri.getAuthority() : host, out); } } else if (in instanceof HttpResponse) { HttpResponse response = (HttpResponse) in; out.status(response.status().codeAsText()); } // Add the HTTP headers which have not been consumed above toHttp2Headers(inHeaders, out); return out; }

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Converts the given HTTP/1.x headers into HTTP/2 headers. The following headers are only used if they can not be found in from the {@code HOST} header or the {@code Request-Line} as defined by <a href="https://tools.ietf.org/html/rfc7230">rfc7230</a> <ul> <li>{@link ExtensionHeaderNames#SCHEME}</li> </ul> {@link ExtensionHeaderNames#PATH} is ignored and instead extracted from the {@code Request-Line}.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java#L389-L412

train

Converts a message to a Http2Headers object.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/corpus/dictionary/CommonDictionaryMaker.java

CommonDictionaryMaker.train

public void train(String corpus) { CorpusLoader.walk(corpus, new CorpusLoader.Handler() { @Override public void handle(Document document) { List<List<Word>> simpleSentenceList = document.getSimpleSentenceList(); List<List<IWord>> compatibleList = new LinkedList<List<IWord>>(); for (List<Word> wordList : simpleSentenceList) { compatibleList.add(new LinkedList<IWord>(wordList)); } CommonDictionaryMaker.this.compute(compatibleList); } }); }

java

public void train(String corpus) { CorpusLoader.walk(corpus, new CorpusLoader.Handler() { @Override public void handle(Document document) { List<List<Word>> simpleSentenceList = document.getSimpleSentenceList(); List<List<IWord>> compatibleList = new LinkedList<List<IWord>>(); for (List<Word> wordList : simpleSentenceList) { compatibleList.add(new LinkedList<IWord>(wordList)); } CommonDictionaryMaker.this.compute(compatibleList); } }); }

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训练 @param corpus 语料库路径

[ "训练" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/dictionary/CommonDictionaryMaker.java#L100-L116

train

Train the CRA - Trees

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/JobVertexBackPressureHandler.java

JobVertexBackPressureHandler.getBackPressureLevel

private static JobVertexBackPressureInfo.VertexBackPressureLevel getBackPressureLevel(double backPressureRatio) { if (backPressureRatio <= 0.10) { return JobVertexBackPressureInfo.VertexBackPressureLevel.OK; } else if (backPressureRatio <= 0.5) { return JobVertexBackPressureInfo.VertexBackPressureLevel.LOW; } else { return JobVertexBackPressureInfo.VertexBackPressureLevel.HIGH; } }

java

private static JobVertexBackPressureInfo.VertexBackPressureLevel getBackPressureLevel(double backPressureRatio) { if (backPressureRatio <= 0.10) { return JobVertexBackPressureInfo.VertexBackPressureLevel.OK; } else if (backPressureRatio <= 0.5) { return JobVertexBackPressureInfo.VertexBackPressureLevel.LOW; } else { return JobVertexBackPressureInfo.VertexBackPressureLevel.HIGH; } }

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Returns the back pressure level as a String. @param backPressureRatio Ratio of back pressures samples to total number of samples. @return Back pressure level ('ok', 'low', or 'high')

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/JobVertexBackPressureHandler.java#L96-L104

train

Get the back pressure level.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/text/csv/CsvParser.java

CsvParser.nextRow

public CsvRow nextRow() throws IORuntimeException { long startingLineNo; List<String> currentFields; int fieldCount; while (false == finished) { startingLineNo = ++lineNo; currentFields = readLine(); if(null == currentFields) { break; } fieldCount = currentFields.size(); // 末尾 if (fieldCount == 0) { break; } // 跳过空行 if (config.skipEmptyRows && fieldCount == 1 && currentFields.get(0).isEmpty()) { continue; } // 检查每行的字段数是否一致 if (config.errorOnDifferentFieldCount) { if (firstLineFieldCount == -1) { firstLineFieldCount = fieldCount; } else if (fieldCount != firstLineFieldCount) { throw new IORuntimeException(String.format("Line %d has %d fields, but first line has %d fields", lineNo, fieldCount, firstLineFieldCount)); } } // 记录最大字段数 if (fieldCount > maxFieldCount) { maxFieldCount = fieldCount; } //初始化标题 if (config.containsHeader && null == header) { initHeader(currentFields); // 作为标题行后，此行跳过，下一行做为第一行 continue; } return new CsvRow(startingLineNo, null == header ? null : header.headerMap, currentFields); } return null; }

java

public CsvRow nextRow() throws IORuntimeException { long startingLineNo; List<String> currentFields; int fieldCount; while (false == finished) { startingLineNo = ++lineNo; currentFields = readLine(); if(null == currentFields) { break; } fieldCount = currentFields.size(); // 末尾 if (fieldCount == 0) { break; } // 跳过空行 if (config.skipEmptyRows && fieldCount == 1 && currentFields.get(0).isEmpty()) { continue; } // 检查每行的字段数是否一致 if (config.errorOnDifferentFieldCount) { if (firstLineFieldCount == -1) { firstLineFieldCount = fieldCount; } else if (fieldCount != firstLineFieldCount) { throw new IORuntimeException(String.format("Line %d has %d fields, but first line has %d fields", lineNo, fieldCount, firstLineFieldCount)); } } // 记录最大字段数 if (fieldCount > maxFieldCount) { maxFieldCount = fieldCount; } //初始化标题 if (config.containsHeader && null == header) { initHeader(currentFields); // 作为标题行后，此行跳过，下一行做为第一行 continue; } return new CsvRow(startingLineNo, null == header ? null : header.headerMap, currentFields); } return null; }

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读取下一行数据 @return CsvRow @throws IORuntimeException IO读取异常

[ "读取下一行数据" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/text/csv/CsvParser.java#L90-L136

train

Returns the next row.

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apache/flink

flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java

CsvReader.lineDelimiter

public CsvReader lineDelimiter(String delimiter) { if (delimiter == null || delimiter.length() == 0) { throw new IllegalArgumentException("The delimiter must not be null or an empty string"); } this.lineDelimiter = delimiter; return this; }

java

public CsvReader lineDelimiter(String delimiter) { if (delimiter == null || delimiter.length() == 0) { throw new IllegalArgumentException("The delimiter must not be null or an empty string"); } this.lineDelimiter = delimiter; return this; }

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Configures the delimiter that separates the lines/rows. The linebreak character ({@code '\n'}) is used by default. @param delimiter The delimiter that separates the rows. @return The CSV reader instance itself, to allow for fluent function chaining.

[ "Configures", "the", "delimiter", "that", "separates", "the", "lines", "/", "rows", ".", "The", "linebreak", "character", "(", "{", "@code", "\\", "n", "}", ")", "is", "used", "by", "default", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java#L97-L104

train

Sets the delimiter used to read the line.

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netty/netty

common/src/main/java/io/netty/util/ReferenceCountUtil.java

ReferenceCountUtil.touch

@SuppressWarnings("unchecked") public static <T> T touch(T msg) { if (msg instanceof ReferenceCounted) { return (T) ((ReferenceCounted) msg).touch(); } return msg; }

java

@SuppressWarnings("unchecked") public static <T> T touch(T msg) { if (msg instanceof ReferenceCounted) { return (T) ((ReferenceCounted) msg).touch(); } return msg; }

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Tries to call {@link ReferenceCounted#touch()} if the specified message implements {@link ReferenceCounted}. If the specified message doesn't implement {@link ReferenceCounted}, this method does nothing.

[ "Tries", "to", "call", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/ReferenceCountUtil.java#L61-L67

train

touch a message.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java

ImgUtil.cut

public static void cut(Image srcImage, File destFile, Rectangle rectangle) throws IORuntimeException { write(cut(srcImage, rectangle), destFile); }

java

public static void cut(Image srcImage, File destFile, Rectangle rectangle) throws IORuntimeException { write(cut(srcImage, rectangle), destFile); }

[ "public", "static", "void", "cut", "(", "Image", "srcImage", ",", "File", "destFile", ",", "Rectangle", "rectangle", ")", "throws", "IORuntimeException", "{", "write", "(", "cut", "(", "srcImage", ",", "rectangle", ")", ",", "destFile", ")", ";", "}" ]

图像切割(按指定起点坐标和宽高切割)，此方法并不关闭流 @param srcImage 源图像 @param destFile 输出的文件 @param rectangle 矩形对象，表示矩形区域的x，y，width，height @since 3.2.2 @throws IORuntimeException IO异常

[ "图像切割", "(", "按指定起点坐标和宽高切割", ")", "，此方法并不关闭流" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L293-L295

train

Cut the image from srcImage to destFile using the specified rectangle.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/img/Img.java

Img.cut

public Img cut(Rectangle rectangle) { final BufferedImage srcImage = getValidSrcImg(); rectangle = fixRectangle(rectangle, srcImage.getWidth(), srcImage.getHeight()); final ImageFilter cropFilter = new CropImageFilter(rectangle.x, rectangle.y, rectangle.width, rectangle.height); final Image image = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(srcImage.getSource(), cropFilter)); this.targetImage = ImgUtil.toBufferedImage(image); return this; }

java

public Img cut(Rectangle rectangle) { final BufferedImage srcImage = getValidSrcImg(); rectangle = fixRectangle(rectangle, srcImage.getWidth(), srcImage.getHeight()); final ImageFilter cropFilter = new CropImageFilter(rectangle.x, rectangle.y, rectangle.width, rectangle.height); final Image image = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(srcImage.getSource(), cropFilter)); this.targetImage = ImgUtil.toBufferedImage(image); return this; }

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图像切割(按指定起点坐标和宽高切割) @param rectangle 矩形对象，表示矩形区域的x，y，width，height @return this

[ "图像切割", "(", "按指定起点坐标和宽高切割", ")" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/Img.java#L285-L293

train

Cut the image to the specified rectangle.

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apache/flink

flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/config/entries/DeploymentEntry.java

DeploymentEntry.create

public static DeploymentEntry create(Map<String, Object> config) { return new DeploymentEntry(ConfigUtil.normalizeYaml(config)); }

java

public static DeploymentEntry create(Map<String, Object> config) { return new DeploymentEntry(ConfigUtil.normalizeYaml(config)); }

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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/config/entries/DeploymentEntry.java#L131-L133

train

Create a new deployment entry from a map of configuration objects.

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apache/flink

flink-connectors/flink-connector-filesystem/src/main/java/org/apache/flink/streaming/connectors/fs/bucketing/BucketingSink.java

BucketingSink.createHadoopFileSystem

public static FileSystem createHadoopFileSystem( Path path, @Nullable Configuration extraUserConf) throws IOException { // try to get the Hadoop File System via the Flink File Systems // that way we get the proper configuration final org.apache.flink.core.fs.FileSystem flinkFs = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(path.toUri()); final FileSystem hadoopFs = (flinkFs instanceof HadoopFileSystem) ? ((HadoopFileSystem) flinkFs).getHadoopFileSystem() : null; // fast path: if the Flink file system wraps Hadoop anyways and we need no extra config, // then we use it directly if (extraUserConf == null && hadoopFs != null) { return hadoopFs; } else { // we need to re-instantiate the Hadoop file system, because we either have // a special config, or the Path gave us a Flink FS that is not backed by // Hadoop (like file://) final org.apache.hadoop.conf.Configuration hadoopConf; if (hadoopFs != null) { // have a Hadoop FS but need to apply extra config hadoopConf = hadoopFs.getConf(); } else { // the Path gave us a Flink FS that is not backed by Hadoop (like file://) // we need to get access to the Hadoop file system first // we access the Hadoop FS in Flink, which carries the proper // Hadoop configuration. we should get rid of this once the bucketing sink is // properly implemented against Flink's FS abstraction URI genericHdfsUri = URI.create("hdfs://localhost:12345/"); org.apache.flink.core.fs.FileSystem accessor = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(genericHdfsUri); if (!(accessor instanceof HadoopFileSystem)) { throw new IOException( "Cannot instantiate a Hadoop file system to access the Hadoop configuration. " + "FS for hdfs:// is " + accessor.getClass().getName()); } hadoopConf = ((HadoopFileSystem) accessor).getHadoopFileSystem().getConf(); } // finalize the configuration final org.apache.hadoop.conf.Configuration finalConf; if (extraUserConf == null) { finalConf = hadoopConf; } else { finalConf = new org.apache.hadoop.conf.Configuration(hadoopConf); for (String key : extraUserConf.keySet()) { finalConf.set(key, extraUserConf.getString(key, null)); } } // we explicitly re-instantiate the file system here in order to make sure // that the configuration is applied. URI fsUri = path.toUri(); final String scheme = fsUri.getScheme(); final String authority = fsUri.getAuthority(); if (scheme == null && authority == null) { fsUri = FileSystem.getDefaultUri(finalConf); } else if (scheme != null && authority == null) { URI defaultUri = FileSystem.getDefaultUri(finalConf); if (scheme.equals(defaultUri.getScheme()) && defaultUri.getAuthority() != null) { fsUri = defaultUri; } } final Class<? extends FileSystem> fsClass = FileSystem.getFileSystemClass(fsUri.getScheme(), finalConf); final FileSystem fs; try { fs = fsClass.newInstance(); } catch (Exception e) { throw new IOException("Cannot instantiate the Hadoop file system", e); } fs.initialize(fsUri, finalConf); // We don't perform checksums on Hadoop's local filesystem and use the raw filesystem. // Otherwise buffers are not flushed entirely during checkpointing which results in data loss. if (fs instanceof LocalFileSystem) { return ((LocalFileSystem) fs).getRaw(); } return fs; } }

java

public static FileSystem createHadoopFileSystem( Path path, @Nullable Configuration extraUserConf) throws IOException { // try to get the Hadoop File System via the Flink File Systems // that way we get the proper configuration final org.apache.flink.core.fs.FileSystem flinkFs = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(path.toUri()); final FileSystem hadoopFs = (flinkFs instanceof HadoopFileSystem) ? ((HadoopFileSystem) flinkFs).getHadoopFileSystem() : null; // fast path: if the Flink file system wraps Hadoop anyways and we need no extra config, // then we use it directly if (extraUserConf == null && hadoopFs != null) { return hadoopFs; } else { // we need to re-instantiate the Hadoop file system, because we either have // a special config, or the Path gave us a Flink FS that is not backed by // Hadoop (like file://) final org.apache.hadoop.conf.Configuration hadoopConf; if (hadoopFs != null) { // have a Hadoop FS but need to apply extra config hadoopConf = hadoopFs.getConf(); } else { // the Path gave us a Flink FS that is not backed by Hadoop (like file://) // we need to get access to the Hadoop file system first // we access the Hadoop FS in Flink, which carries the proper // Hadoop configuration. we should get rid of this once the bucketing sink is // properly implemented against Flink's FS abstraction URI genericHdfsUri = URI.create("hdfs://localhost:12345/"); org.apache.flink.core.fs.FileSystem accessor = org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(genericHdfsUri); if (!(accessor instanceof HadoopFileSystem)) { throw new IOException( "Cannot instantiate a Hadoop file system to access the Hadoop configuration. " + "FS for hdfs:// is " + accessor.getClass().getName()); } hadoopConf = ((HadoopFileSystem) accessor).getHadoopFileSystem().getConf(); } // finalize the configuration final org.apache.hadoop.conf.Configuration finalConf; if (extraUserConf == null) { finalConf = hadoopConf; } else { finalConf = new org.apache.hadoop.conf.Configuration(hadoopConf); for (String key : extraUserConf.keySet()) { finalConf.set(key, extraUserConf.getString(key, null)); } } // we explicitly re-instantiate the file system here in order to make sure // that the configuration is applied. URI fsUri = path.toUri(); final String scheme = fsUri.getScheme(); final String authority = fsUri.getAuthority(); if (scheme == null && authority == null) { fsUri = FileSystem.getDefaultUri(finalConf); } else if (scheme != null && authority == null) { URI defaultUri = FileSystem.getDefaultUri(finalConf); if (scheme.equals(defaultUri.getScheme()) && defaultUri.getAuthority() != null) { fsUri = defaultUri; } } final Class<? extends FileSystem> fsClass = FileSystem.getFileSystemClass(fsUri.getScheme(), finalConf); final FileSystem fs; try { fs = fsClass.newInstance(); } catch (Exception e) { throw new IOException("Cannot instantiate the Hadoop file system", e); } fs.initialize(fsUri, finalConf); // We don't perform checksums on Hadoop's local filesystem and use the raw filesystem. // Otherwise buffers are not flushed entirely during checkpointing which results in data loss. if (fs instanceof LocalFileSystem) { return ((LocalFileSystem) fs).getRaw(); } return fs; } }

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

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

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-filesystem/src/main/java/org/apache/flink/streaming/connectors/fs/bucketing/BucketingSink.java#L1219-L1316

train

Create a Hadoop file system from the Hadoop file system path.

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apache/flink

flink-core/src/main/java/org/apache/flink/util/ExceptionUtils.java

ExceptionUtils.tryRethrowIOException

public static void tryRethrowIOException(Throwable t) throws IOException { if (t instanceof IOException) { throw (IOException) t; } else if (t instanceof RuntimeException) { throw (RuntimeException) t; } else if (t instanceof Error) { throw (Error) t; } }

java

public static void tryRethrowIOException(Throwable t) throws IOException { if (t instanceof IOException) { throw (IOException) t; } else if (t instanceof RuntimeException) { throw (RuntimeException) t; } else if (t instanceof Error) { throw (Error) t; } }

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Tries to throw the given {@code Throwable} in scenarios where the signatures allows only IOExceptions (and RuntimeException and Error). Throws this exception directly, if it is an IOException, a RuntimeException, or an Error. Otherwise does nothing. @param t The Throwable to be thrown.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/ExceptionUtils.java#L281-L291

train

Try to throw an IOException.

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apache/spark

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

UTF8String.concatWs

public static UTF8String concatWs(UTF8String separator, UTF8String... inputs) { if (separator == null) { return null; } int numInputBytes = 0; // total number of bytes from the inputs int numInputs = 0; // number of non-null inputs for (int i = 0; i < inputs.length; i++) { if (inputs[i] != null) { numInputBytes += inputs[i].numBytes; numInputs++; } } if (numInputs == 0) { // Return an empty string if there is no input, or all the inputs are null. return EMPTY_UTF8; } // Allocate a new byte array, and copy the inputs one by one into it. // The size of the new array is the size of all inputs, plus the separators. final byte[] result = new byte[numInputBytes + (numInputs - 1) * separator.numBytes]; int offset = 0; for (int i = 0, j = 0; i < inputs.length; i++) { if (inputs[i] != null) { int len = inputs[i].numBytes; copyMemory( inputs[i].base, inputs[i].offset, result, BYTE_ARRAY_OFFSET + offset, len); offset += len; j++; // Add separator if this is not the last input. if (j < numInputs) { copyMemory( separator.base, separator.offset, result, BYTE_ARRAY_OFFSET + offset, separator.numBytes); offset += separator.numBytes; } } } return fromBytes(result); }

java

public static UTF8String concatWs(UTF8String separator, UTF8String... inputs) { if (separator == null) { return null; } int numInputBytes = 0; // total number of bytes from the inputs int numInputs = 0; // number of non-null inputs for (int i = 0; i < inputs.length; i++) { if (inputs[i] != null) { numInputBytes += inputs[i].numBytes; numInputs++; } } if (numInputs == 0) { // Return an empty string if there is no input, or all the inputs are null. return EMPTY_UTF8; } // Allocate a new byte array, and copy the inputs one by one into it. // The size of the new array is the size of all inputs, plus the separators. final byte[] result = new byte[numInputBytes + (numInputs - 1) * separator.numBytes]; int offset = 0; for (int i = 0, j = 0; i < inputs.length; i++) { if (inputs[i] != null) { int len = inputs[i].numBytes; copyMemory( inputs[i].base, inputs[i].offset, result, BYTE_ARRAY_OFFSET + offset, len); offset += len; j++; // Add separator if this is not the last input. if (j < numInputs) { copyMemory( separator.base, separator.offset, result, BYTE_ARRAY_OFFSET + offset, separator.numBytes); offset += separator.numBytes; } } } return fromBytes(result); }

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Concatenates input strings together into a single string using the separator. A null input is skipped. For example, concat(",", "a", null, "c") would yield "a,c".

[ "Concatenates", "input", "strings", "together", "into", "a", "single", "string", "using", "the", "separator", ".", "A", "null", "input", "is", "skipped", ".", "For", "example", "concat", "(", "a", "null", "c", ")", "would", "yield", "a", "c", "." ]

25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L913-L958

train

Concatenate two UTF8Strings.

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spring-projects/spring-boot

spring-boot-project/spring-boot/src/main/java/org/springframework/boot/webservices/client/WebServiceTemplateBuilder.java

WebServiceTemplateBuilder.messageSenders

public WebServiceTemplateBuilder messageSenders( Collection<? extends WebServiceMessageSender> messageSenders) { Assert.notNull(messageSenders, "MessageSenders must not be null"); return new WebServiceTemplateBuilder(this.detectHttpMessageSender, this.interceptors, this.internalCustomizers, this.customizers, this.messageSenders.set(messageSenders), this.marshaller, this.unmarshaller, this.destinationProvider, this.transformerFactoryClass, this.messageFactory); }

java

public WebServiceTemplateBuilder messageSenders( Collection<? extends WebServiceMessageSender> messageSenders) { Assert.notNull(messageSenders, "MessageSenders must not be null"); return new WebServiceTemplateBuilder(this.detectHttpMessageSender, this.interceptors, this.internalCustomizers, this.customizers, this.messageSenders.set(messageSenders), this.marshaller, this.unmarshaller, this.destinationProvider, this.transformerFactoryClass, this.messageFactory); }

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Sets the {@link WebServiceMessageSender WebServiceMessageSenders} that should be used with the {@link WebServiceTemplate}. Setting this value will replace any previously defined message senders, including the HTTP-based message sender, if any. Consider using {@link #additionalMessageSenders(Collection)} to keep it with user-defined message senders. @param messageSenders the message senders to set @return a new builder instance. @see #additionalMessageSenders(Collection) @see #detectHttpMessageSender(boolean)

[ "Sets", "the", "{" ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/webservices/client/WebServiceTemplateBuilder.java#L157-L165

train

Sets the message senders.

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netty/netty

common/src/main/java/io/netty/util/concurrent/AbstractEventExecutor.java

AbstractEventExecutor.safeExecute

protected static void safeExecute(Runnable task) { try { task.run(); } catch (Throwable t) { logger.warn("A task raised an exception. Task: {}", task, t); } }

java

protected static void safeExecute(Runnable task) { try { task.run(); } catch (Throwable t) { logger.warn("A task raised an exception. Task: {}", task, t); } }

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Try to execute the given {@link Runnable} and just log if it throws a {@link Throwable}.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/concurrent/AbstractEventExecutor.java#L161-L167

train

Execute a Runnable.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/checkpoints/CheckpointStatsCache.java

CheckpointStatsCache.tryAdd

public void tryAdd(AbstractCheckpointStats checkpoint) { // Don't add in progress checkpoints as they will be replaced by their // completed/failed version eventually. if (cache != null && checkpoint != null && !checkpoint.getStatus().isInProgress()) { cache.put(checkpoint.getCheckpointId(), checkpoint); } }

java

public void tryAdd(AbstractCheckpointStats checkpoint) { // Don't add in progress checkpoints as they will be replaced by their // completed/failed version eventually. if (cache != null && checkpoint != null && !checkpoint.getStatus().isInProgress()) { cache.put(checkpoint.getCheckpointId(), checkpoint); } }

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Try to add the checkpoint to the cache. @param checkpoint Checkpoint to be added.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/job/checkpoints/CheckpointStatsCache.java#L59-L65

train

Add a checkpoint to the cache.

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looly/hutool

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

HashUtil.mixHash

public static long mixHash(String str) { long hash = str.hashCode(); hash <<= 32; hash |= fnvHash(str); return hash; }

java

public static long mixHash(String str) { long hash = str.hashCode(); hash <<= 32; hash |= fnvHash(str); return hash; }

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混合hash算法，输出64位的值 @param str 字符串 @return hash值

[ "混合hash算法，输出64位的值" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/HashUtil.java#L426-L431

train

Returns the hash value of the given string.

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apache/flink

flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlDateTimeUtils.java

SqlDateTimeUtils.dateToInternal

public static int dateToInternal(java.sql.Date date, TimeZone tz) { long ts = date.getTime() + tz.getOffset(date.getTime()); return (int) (ts / MILLIS_PER_DAY); }

java

public static int dateToInternal(java.sql.Date date, TimeZone tz) { long ts = date.getTime() + tz.getOffset(date.getTime()); return (int) (ts / MILLIS_PER_DAY); }

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Converts the Java type used for UDF parameters of SQL DATE type ({@link java.sql.Date}) to internal representation (int). Converse of {@link #internalToDate(int)}.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlDateTimeUtils.java#L180-L183

train

Convert java. sql. Date to internal int.

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looly/hutool

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

CollUtil.reverseNew

public static <T> List<T> reverseNew(List<T> list) { final List<T> list2 = ObjectUtil.clone(list); return reverse(list2); }

java

public static <T> List<T> reverseNew(List<T> list) { final List<T> list2 = ObjectUtil.clone(list); return reverse(list2); }

[ "public", "static", "<", "T", ">", "List", "<", "T", ">", "reverseNew", "(", "List", "<", "T", ">", "list", ")", "{", "final", "List", "<", "T", ">", "list2", "=", "ObjectUtil", ".", "clone", "(", "list", ")", ";", "return", "reverse", "(", "list2", ")", ";", "}" ]

反序给定List，会创建一个新的List，原List数据不变 @param <T> 元素类型 @param list 被反转的List @return 反转后的List @since 4.0.6

[ "反序给定List，会创建一个新的List，原List数据不变" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L2373-L2376

train

Returns a new list with the reverse of the given list.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java

Trie.constructFailureStates

private void constructFailureStates() { Queue<State> queue = new LinkedBlockingDeque<State>(); // 第一步，将深度为1的节点的failure设为根节点 for (State depthOneState : this.rootState.getStates()) { depthOneState.setFailure(this.rootState); queue.add(depthOneState); } this.failureStatesConstructed = true; // 第二步，为深度 > 1 的节点建立failure表，这是一个bfs while (!queue.isEmpty()) { State currentState = queue.remove(); for (Character transition : currentState.getTransitions()) { State targetState = currentState.nextState(transition); queue.add(targetState); State traceFailureState = currentState.failure(); while (traceFailureState.nextState(transition) == null) { traceFailureState = traceFailureState.failure(); } State newFailureState = traceFailureState.nextState(transition); targetState.setFailure(newFailureState); targetState.addEmit(newFailureState.emit()); } } }

java

private void constructFailureStates() { Queue<State> queue = new LinkedBlockingDeque<State>(); // 第一步，将深度为1的节点的failure设为根节点 for (State depthOneState : this.rootState.getStates()) { depthOneState.setFailure(this.rootState); queue.add(depthOneState); } this.failureStatesConstructed = true; // 第二步，为深度 > 1 的节点建立failure表，这是一个bfs while (!queue.isEmpty()) { State currentState = queue.remove(); for (Character transition : currentState.getTransitions()) { State targetState = currentState.nextState(transition); queue.add(targetState); State traceFailureState = currentState.failure(); while (traceFailureState.nextState(transition) == null) { traceFailureState = traceFailureState.failure(); } State newFailureState = traceFailureState.nextState(transition); targetState.setFailure(newFailureState); targetState.addEmit(newFailureState.emit()); } } }

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建立failure表

[ "建立failure表" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/trie/Trie.java#L233-L265

train

Construct failure states.

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looly/hutool

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

SqlConnRunner.page

public PageResult<Entity> page(Connection conn, Collection<String> fields, Entity where, int page, int numPerPage) throws SQLException { checkConn(conn); final int count = count(conn, where); PageResultHandler pageResultHandler = PageResultHandler.create(new PageResult<Entity>(page, numPerPage, count)); return this.page(conn, fields, where, page, numPerPage, pageResultHandler); }

java

public PageResult<Entity> page(Connection conn, Collection<String> fields, Entity where, int page, int numPerPage) throws SQLException { checkConn(conn); final int count = count(conn, where); PageResultHandler pageResultHandler = PageResultHandler.create(new PageResult<Entity>(page, numPerPage, count)); return this.page(conn, fields, where, page, numPerPage, pageResultHandler); }

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分页查询 此方法不会关闭Connection @param conn 数据库连接对象 @param fields 返回的字段列表，null则返回所有字段 @param where 条件实体类（包含表名） @param page 页码 @param numPerPage 每页条目数 @return 结果对象 @throws SQLException SQL执行异常

[ "分页查询<br", ">", "此方法不会关闭Connection" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java#L509-L515

train

Retrieves a page of entities from a database connection.

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netty/netty

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

OpenSsl.selfSignedCertificate

static X509Certificate selfSignedCertificate() throws CertificateException { return (X509Certificate) SslContext.X509_CERT_FACTORY.generateCertificate( new ByteArrayInputStream(CERT.getBytes(CharsetUtil.US_ASCII)) ); }

java

static X509Certificate selfSignedCertificate() throws CertificateException { return (X509Certificate) SslContext.X509_CERT_FACTORY.generateCertificate( new ByteArrayInputStream(CERT.getBytes(CharsetUtil.US_ASCII)) ); }

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Returns a self-signed {@link X509Certificate} for {@code netty.io}.

[ "Returns", "a", "self", "-", "signed", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/OpenSsl.java#L367-L371

train

This method is used to generate a self - signed certificate.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/reader/AbstractReader.java

AbstractReader.handleEvent

protected boolean handleEvent(AbstractEvent event) throws IOException { final Class<?> eventType = event.getClass(); try { // ------------------------------------------------------------ // Runtime events // ------------------------------------------------------------ // This event is also checked at the (single) input gate to release the respective // channel, at which it was received. if (eventType == EndOfPartitionEvent.class) { return true; } else if (eventType == EndOfSuperstepEvent.class) { return incrementEndOfSuperstepEventAndCheck(); } // ------------------------------------------------------------ // Task events (user) // ------------------------------------------------------------ else if (event instanceof TaskEvent) { taskEventHandler.publish((TaskEvent) event); return false; } else { throw new IllegalStateException("Received unexpected event of type " + eventType + " at reader."); } } catch (Throwable t) { throw new IOException("Error while handling event of type " + eventType + ": " + t.getMessage(), t); } }

java

protected boolean handleEvent(AbstractEvent event) throws IOException { final Class<?> eventType = event.getClass(); try { // ------------------------------------------------------------ // Runtime events // ------------------------------------------------------------ // This event is also checked at the (single) input gate to release the respective // channel, at which it was received. if (eventType == EndOfPartitionEvent.class) { return true; } else if (eventType == EndOfSuperstepEvent.class) { return incrementEndOfSuperstepEventAndCheck(); } // ------------------------------------------------------------ // Task events (user) // ------------------------------------------------------------ else if (event instanceof TaskEvent) { taskEventHandler.publish((TaskEvent) event); return false; } else { throw new IllegalStateException("Received unexpected event of type " + eventType + " at reader."); } } catch (Throwable t) { throw new IOException("Error while handling event of type " + eventType + ": " + t.getMessage(), t); } }

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Handles the event and returns whether the reader reached an end-of-stream event (either the end of the whole stream or the end of an superstep).

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/reader/AbstractReader.java#L80-L112

train

Handle an event.

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apache/flink

flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/ColumnOperationUtils.java

ColumnOperationUtils.renameColumns

public static List<Expression> renameColumns(List<String> inputFields, List<Expression> newAliases) { LinkedHashMap<String, Expression> finalFields = new LinkedHashMap<>(); inputFields.forEach(field -> finalFields.put(field, new UnresolvedReferenceExpression(field))); newAliases.forEach(expr -> { String name = expr.accept(renameColumnExtractor); finalFields.put(name, expr); }); return new ArrayList<>(finalFields.values()); }

java

public static List<Expression> renameColumns(List<String> inputFields, List<Expression> newAliases) { LinkedHashMap<String, Expression> finalFields = new LinkedHashMap<>(); inputFields.forEach(field -> finalFields.put(field, new UnresolvedReferenceExpression(field))); newAliases.forEach(expr -> { String name = expr.accept(renameColumnExtractor); finalFields.put(name, expr); }); return new ArrayList<>(finalFields.values()); }

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Creates a projection list that renames existing columns to new names. NOTE: Resulting expression are still unresolved. @param inputFields names of current columns @param newAliases new aliases for current columns @return projection expressions

[ "Creates", "a", "projection", "list", "that", "renames", "existing", "columns", "to", "new", "names", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/ColumnOperationUtils.java#L57-L67

train

Returns a list of expressions that rename the input columns to the new columns.

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looly/hutool

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

RandomUtil.randomBigDecimal

public static BigDecimal randomBigDecimal(BigDecimal limit) { return NumberUtil.toBigDecimal(getRandom().nextDouble(limit.doubleValue())); }

java

public static BigDecimal randomBigDecimal(BigDecimal limit) { return NumberUtil.toBigDecimal(getRandom().nextDouble(limit.doubleValue())); }

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获得指定范围内的随机数 [0,limit) @param limit 最大数（不包含） @return 随机数 @since 4.0.9

[ "获得指定范围内的随机数", "[", "0", "limit", ")" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/RandomUtil.java#L227-L229

train

Returns a random BigDecimal in the specified limit.

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looly/hutool

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

MapUtil.getStr

public static String getStr(Map<?, ?> map, Object key) { return get(map, key, String.class); }

java

public static String getStr(Map<?, ?> map, Object key) { return get(map, key, String.class); }

[ "public", "static", "String", "getStr", "(", "Map", "<", "?", ",", "?", ">", "map", ",", "Object", "key", ")", "{", "return", "get", "(", "map", ",", "key", ",", "String", ".", "class", ")", ";", "}" ]

获取Map指定key的值，并转换为字符串 @param map Map @param key 键 @return 值 @since 4.0.6

[ "获取Map指定key的值，并转换为字符串" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L756-L758

train

Gets the string value from the map.

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looly/hutool

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

HttpRequest.form

public HttpRequest form(String name, File file) { return form(name, file, file.getName()); }

java

public HttpRequest form(String name, File file) { return form(name, file, file.getName()); }

[ "public", "HttpRequest", "form", "(", "String", "name", ",", "File", "file", ")", "{", "return", "form", "(", "name", ",", "file", ",", "file", ".", "getName", "(", ")", ")", ";", "}" ]

文件表单项 一旦有文件加入，表单变为multipart/form-data @param name 名 @param file 需要上传的文件 @return this

[ "文件表单项<br", ">", "一旦有文件加入，表单变为multipart", "/", "form", "-", "data" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpRequest.java#L515-L517

train

Adds a form file to the request.

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apache/flink

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

DataSinkTask.initOutputFormat

private void initOutputFormat() { ClassLoader userCodeClassLoader = getUserCodeClassLoader(); // obtain task configuration (including stub parameters) Configuration taskConf = getTaskConfiguration(); this.config = new TaskConfig(taskConf); try { this.format = config.<OutputFormat<IT>>getStubWrapper(userCodeClassLoader).getUserCodeObject(OutputFormat.class, userCodeClassLoader); // check if the class is a subclass, if the check is required if (!OutputFormat.class.isAssignableFrom(this.format.getClass())) { throw new RuntimeException("The class '" + this.format.getClass().getName() + "' is not a subclass of '" + OutputFormat.class.getName() + "' as is required."); } } catch (ClassCastException ccex) { throw new RuntimeException("The stub class is not a proper subclass of " + OutputFormat.class.getName(), ccex); } Thread thread = Thread.currentThread(); ClassLoader original = thread.getContextClassLoader(); // configure the stub. catch exceptions here extra, to report them as originating from the user code try { thread.setContextClassLoader(userCodeClassLoader); this.format.configure(this.config.getStubParameters()); } catch (Throwable t) { throw new RuntimeException("The user defined 'configure()' method in the Output Format caused an error: " + t.getMessage(), t); } finally { thread.setContextClassLoader(original); } }

java

private void initOutputFormat() { ClassLoader userCodeClassLoader = getUserCodeClassLoader(); // obtain task configuration (including stub parameters) Configuration taskConf = getTaskConfiguration(); this.config = new TaskConfig(taskConf); try { this.format = config.<OutputFormat<IT>>getStubWrapper(userCodeClassLoader).getUserCodeObject(OutputFormat.class, userCodeClassLoader); // check if the class is a subclass, if the check is required if (!OutputFormat.class.isAssignableFrom(this.format.getClass())) { throw new RuntimeException("The class '" + this.format.getClass().getName() + "' is not a subclass of '" + OutputFormat.class.getName() + "' as is required."); } } catch (ClassCastException ccex) { throw new RuntimeException("The stub class is not a proper subclass of " + OutputFormat.class.getName(), ccex); } Thread thread = Thread.currentThread(); ClassLoader original = thread.getContextClassLoader(); // configure the stub. catch exceptions here extra, to report them as originating from the user code try { thread.setContextClassLoader(userCodeClassLoader); this.format.configure(this.config.getStubParameters()); } catch (Throwable t) { throw new RuntimeException("The user defined 'configure()' method in the Output Format caused an error: " + t.getMessage(), t); } finally { thread.setContextClassLoader(original); } }

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Initializes the OutputFormat implementation and configuration. @throws RuntimeException Throws if instance of OutputFormat implementation can not be obtained.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/DataSinkTask.java#L319-L352

train

Initialize the output format.

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apache/flink

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

Graph.runScatterGatherIteration

public <M> Graph<K, VV, EV> runScatterGatherIteration( ScatterFunction<K, VV, M, EV> scatterFunction, org.apache.flink.graph.spargel.GatherFunction<K, VV, M> gatherFunction, int maximumNumberOfIterations) { return this.runScatterGatherIteration(scatterFunction, gatherFunction, maximumNumberOfIterations, null); }

java

public <M> Graph<K, VV, EV> runScatterGatherIteration( ScatterFunction<K, VV, M, EV> scatterFunction, org.apache.flink.graph.spargel.GatherFunction<K, VV, M> gatherFunction, int maximumNumberOfIterations) { return this.runScatterGatherIteration(scatterFunction, gatherFunction, maximumNumberOfIterations, null); }

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Runs a ScatterGather iteration on the graph. No configuration options are provided. @param scatterFunction the scatter function @param gatherFunction the gather function @param maximumNumberOfIterations maximum number of iterations to perform @return the updated Graph after the scatter-gather iteration has converged or after maximumNumberOfIterations.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L1730-L1737

train

Run a ScatterGather iteration on the graph.

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looly/hutool

hutool-poi/src/main/java/cn/hutool/poi/excel/sax/ExcelSaxUtil.java

ExcelSaxUtil.countNullCell

public static int countNullCell(String preRef, String ref) { // excel2007最大行数是1048576，最大列数是16384，最后一列列名是XFD // 数字代表列，去掉列信息 String preXfd = StrUtil.nullToDefault(preRef, "@").replaceAll("\\d+", ""); String xfd = StrUtil.nullToDefault(ref, "@").replaceAll("\\d+", ""); // A表示65，@表示64，如果A算作1，那@代表0 // 填充最大位数3 preXfd = StrUtil.fillBefore(preXfd, CELL_FILL_CHAR, MAX_CELL_BIT); xfd = StrUtil.fillBefore(xfd, CELL_FILL_CHAR, MAX_CELL_BIT); char[] preLetter = preXfd.toCharArray(); char[] letter = xfd.toCharArray(); // 用字母表示则最多三位，每26个字母进一位 int res = (letter[0] - preLetter[0]) * 26 * 26 + (letter[1] - preLetter[1]) * 26 + (letter[2] - preLetter[2]); return res - 1; }

java

public static int countNullCell(String preRef, String ref) { // excel2007最大行数是1048576，最大列数是16384，最后一列列名是XFD // 数字代表列，去掉列信息 String preXfd = StrUtil.nullToDefault(preRef, "@").replaceAll("\\d+", ""); String xfd = StrUtil.nullToDefault(ref, "@").replaceAll("\\d+", ""); // A表示65，@表示64，如果A算作1，那@代表0 // 填充最大位数3 preXfd = StrUtil.fillBefore(preXfd, CELL_FILL_CHAR, MAX_CELL_BIT); xfd = StrUtil.fillBefore(xfd, CELL_FILL_CHAR, MAX_CELL_BIT); char[] preLetter = preXfd.toCharArray(); char[] letter = xfd.toCharArray(); // 用字母表示则最多三位，每26个字母进一位 int res = (letter[0] - preLetter[0]) * 26 * 26 + (letter[1] - preLetter[1]) * 26 + (letter[2] - preLetter[2]); return res - 1; }

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计算两个单元格之间的单元格数目(同一行) @param preRef 前一个单元格位置，例如A1 @param ref 当前单元格位置，例如A8 @return 同一行中两个单元格之间的空单元格数

[ "计算两个单元格之间的单元格数目", "(", "同一行", ")" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/sax/ExcelSaxUtil.java#L103-L119

train

count null cell

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apache/flink

flink-core/src/main/java/org/apache/flink/util/FileUtils.java

FileUtils.readAllBytes

public static byte[] readAllBytes(java.nio.file.Path path) throws IOException { try (SeekableByteChannel channel = Files.newByteChannel(path); InputStream in = Channels.newInputStream(channel)) { long size = channel.size(); if (size > (long) MAX_BUFFER_SIZE) { throw new OutOfMemoryError("Required array size too large"); } return read(in, (int) size); } }

java

public static byte[] readAllBytes(java.nio.file.Path path) throws IOException { try (SeekableByteChannel channel = Files.newByteChannel(path); InputStream in = Channels.newInputStream(channel)) { long size = channel.size(); if (size > (long) MAX_BUFFER_SIZE) { throw new OutOfMemoryError("Required array size too large"); } return read(in, (int) size); } }

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Reads all the bytes from a file. The method ensures that the file is closed when all bytes have been read or an I/O error, or other runtime exception, is thrown. This is an implementation that follow {@link java.nio.file.Files#readAllBytes(java.nio.file.Path)}, and the difference is that it limits the size of the direct buffer to avoid direct-buffer OutOfMemoryError. When {@link java.nio.file.Files#readAllBytes(java.nio.file.Path)} or other interfaces in java API can do this in the future, we should remove it. @param path the path to the file @return a byte array containing the bytes read from the file @throws IOException if an I/O error occurs reading from the stream @throws OutOfMemoryError if an array of the required size cannot be allocated, for example the file is larger that {@code 2GB}

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/FileUtils.java#L143-L154

train

Read all bytes from the given file.

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netty/netty

codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostStandardRequestDecoder.java

HttpPostStandardRequestDecoder.offer

@Override public HttpPostStandardRequestDecoder offer(HttpContent content) { checkDestroyed(); // Maybe we should better not copy here for performance reasons but this will need // more care by the caller to release the content in a correct manner later // So maybe something to optimize on a later stage ByteBuf buf = content.content(); if (undecodedChunk == null) { undecodedChunk = buf.copy(); } else { undecodedChunk.writeBytes(buf); } if (content instanceof LastHttpContent) { isLastChunk = true; } parseBody(); if (undecodedChunk != null && undecodedChunk.writerIndex() > discardThreshold) { undecodedChunk.discardReadBytes(); } return this; }

java

@Override public HttpPostStandardRequestDecoder offer(HttpContent content) { checkDestroyed(); // Maybe we should better not copy here for performance reasons but this will need // more care by the caller to release the content in a correct manner later // So maybe something to optimize on a later stage ByteBuf buf = content.content(); if (undecodedChunk == null) { undecodedChunk = buf.copy(); } else { undecodedChunk.writeBytes(buf); } if (content instanceof LastHttpContent) { isLastChunk = true; } parseBody(); if (undecodedChunk != null && undecodedChunk.writerIndex() > discardThreshold) { undecodedChunk.discardReadBytes(); } return this; }

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Initialized the internals from a new chunk @param content the new received chunk @throws ErrorDataDecoderException if there is a problem with the charset decoding or other errors

[ "Initialized", "the", "internals", "from", "a", "new", "chunk" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostStandardRequestDecoder.java#L273-L294

train

Offer a content to the request.

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looly/hutool

hutool-cron/src/main/java/cn/hutool/cron/Scheduler.java

Scheduler.schedule

public String schedule(String pattern, Runnable task) { return schedule(pattern, new RunnableTask(task)); }

java

public String schedule(String pattern, Runnable task) { return schedule(pattern, new RunnableTask(task)); }

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新增Task，使用随机UUID @param pattern {@link CronPattern}对应的String表达式 @param task {@link Runnable} @return ID

[ "新增Task，使用随机UUID" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/Scheduler.java#L206-L208

train

Schedule a Runnable task to run on the specified pattern.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/classification/statistics/ContinuousDistributions.java

ContinuousDistributions.Gcf

protected static double Gcf(double x, double A) { // Good for X>A+1 double A0 = 0; double B0 = 1; double A1 = 1; double B1 = x; double AOLD = 0; double N = 0; while (Math.abs((A1 - AOLD) / A1) > .00001) { AOLD = A1; N = N + 1; A0 = A1 + (N - A) * A0; B0 = B1 + (N - A) * B0; A1 = x * A0 + N * A1; B1 = x * B0 + N * B1; A0 = A0 / B1; B0 = B0 / B1; A1 = A1 / B1; B1 = 1; } double Prob = Math.exp(A * Math.log(x) - x - LogGamma(A)) * A1; return 1.0 - Prob; }

java

protected static double Gcf(double x, double A) { // Good for X>A+1 double A0 = 0; double B0 = 1; double A1 = 1; double B1 = x; double AOLD = 0; double N = 0; while (Math.abs((A1 - AOLD) / A1) > .00001) { AOLD = A1; N = N + 1; A0 = A1 + (N - A) * A0; B0 = B1 + (N - A) * B0; A1 = x * A0 + N * A1; B1 = x * B0 + N * B1; A0 = A0 / B1; B0 = B0 / B1; A1 = A1 / B1; B1 = 1; } double Prob = Math.exp(A * Math.log(x) - x - LogGamma(A)) * A1; return 1.0 - Prob; }

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Internal function used by GammaCdf @param x @param A @return

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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/classification/statistics/ContinuousDistributions.java#L125-L150

train

Compute the GCF of a single logarithmic problem

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apache/flink

flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java

OptimizerNode.prunePlanAlternatives

protected void prunePlanAlternatives(List<PlanNode> plans) { if (plans.isEmpty()) { throw new CompilerException("No plan meeting the requirements could be created @ " + this + ". Most likely reason: Too restrictive plan hints."); } // shortcut for the simple case if (plans.size() == 1) { return; } // we can only compare plan candidates that made equal choices // at the branching points. for each choice at a branching point, // we need to keep the cheapest (wrt. interesting properties). // if we do not keep candidates for each branch choice, we might not // find branch compatible candidates when joining the branches back. // for pruning, we are quasi AFTER the node, so in the presence of // branches, we need form the per-branch-choice groups by the choice // they made at the latest un-joined branching node. Note that this is // different from the check for branch compatibility of candidates, as // this happens on the input sub-plans and hence BEFORE the node (therefore // it is relevant to find the latest (partially) joined branch point. if (this.openBranches == null || this.openBranches.isEmpty()) { prunePlanAlternativesWithCommonBranching(plans); } else { // partition the candidates into groups that made the same sub-plan candidate // choice at the latest unclosed branch point final OptimizerNode[] branchDeterminers = new OptimizerNode[this.openBranches.size()]; for (int i = 0; i < branchDeterminers.length; i++) { branchDeterminers[i] = this.openBranches.get(this.openBranches.size() - 1 - i).getBranchingNode(); } // this sorter sorts by the candidate choice at the branch point Comparator<PlanNode> sorter = new Comparator<PlanNode>() { @Override public int compare(PlanNode o1, PlanNode o2) { for (OptimizerNode branchDeterminer : branchDeterminers) { PlanNode n1 = o1.getCandidateAtBranchPoint(branchDeterminer); PlanNode n2 = o2.getCandidateAtBranchPoint(branchDeterminer); int hash1 = System.identityHashCode(n1); int hash2 = System.identityHashCode(n2); if (hash1 != hash2) { return hash1 - hash2; } } return 0; } }; Collections.sort(plans, sorter); List<PlanNode> result = new ArrayList<PlanNode>(); List<PlanNode> turn = new ArrayList<PlanNode>(); final PlanNode[] determinerChoice = new PlanNode[branchDeterminers.length]; while (!plans.isEmpty()) { // take one as the determiner turn.clear(); PlanNode determiner = plans.remove(plans.size() - 1); turn.add(determiner); for (int i = 0; i < determinerChoice.length; i++) { determinerChoice[i] = determiner.getCandidateAtBranchPoint(branchDeterminers[i]); } // go backwards through the plans and find all that are equal boolean stillEqual = true; for (int k = plans.size() - 1; k >= 0 && stillEqual; k--) { PlanNode toCheck = plans.get(k); for (int i = 0; i < branchDeterminers.length; i++) { PlanNode checkerChoice = toCheck.getCandidateAtBranchPoint(branchDeterminers[i]); if (checkerChoice != determinerChoice[i]) { // not the same anymore stillEqual = false; break; } } if (stillEqual) { // the same plans.remove(k); turn.add(toCheck); } } // now that we have only plans with the same branch alternatives, prune! if (turn.size() > 1) { prunePlanAlternativesWithCommonBranching(turn); } result.addAll(turn); } // after all turns are complete plans.clear(); plans.addAll(result); } }

java

protected void prunePlanAlternatives(List<PlanNode> plans) { if (plans.isEmpty()) { throw new CompilerException("No plan meeting the requirements could be created @ " + this + ". Most likely reason: Too restrictive plan hints."); } // shortcut for the simple case if (plans.size() == 1) { return; } // we can only compare plan candidates that made equal choices // at the branching points. for each choice at a branching point, // we need to keep the cheapest (wrt. interesting properties). // if we do not keep candidates for each branch choice, we might not // find branch compatible candidates when joining the branches back. // for pruning, we are quasi AFTER the node, so in the presence of // branches, we need form the per-branch-choice groups by the choice // they made at the latest un-joined branching node. Note that this is // different from the check for branch compatibility of candidates, as // this happens on the input sub-plans and hence BEFORE the node (therefore // it is relevant to find the latest (partially) joined branch point. if (this.openBranches == null || this.openBranches.isEmpty()) { prunePlanAlternativesWithCommonBranching(plans); } else { // partition the candidates into groups that made the same sub-plan candidate // choice at the latest unclosed branch point final OptimizerNode[] branchDeterminers = new OptimizerNode[this.openBranches.size()]; for (int i = 0; i < branchDeterminers.length; i++) { branchDeterminers[i] = this.openBranches.get(this.openBranches.size() - 1 - i).getBranchingNode(); } // this sorter sorts by the candidate choice at the branch point Comparator<PlanNode> sorter = new Comparator<PlanNode>() { @Override public int compare(PlanNode o1, PlanNode o2) { for (OptimizerNode branchDeterminer : branchDeterminers) { PlanNode n1 = o1.getCandidateAtBranchPoint(branchDeterminer); PlanNode n2 = o2.getCandidateAtBranchPoint(branchDeterminer); int hash1 = System.identityHashCode(n1); int hash2 = System.identityHashCode(n2); if (hash1 != hash2) { return hash1 - hash2; } } return 0; } }; Collections.sort(plans, sorter); List<PlanNode> result = new ArrayList<PlanNode>(); List<PlanNode> turn = new ArrayList<PlanNode>(); final PlanNode[] determinerChoice = new PlanNode[branchDeterminers.length]; while (!plans.isEmpty()) { // take one as the determiner turn.clear(); PlanNode determiner = plans.remove(plans.size() - 1); turn.add(determiner); for (int i = 0; i < determinerChoice.length; i++) { determinerChoice[i] = determiner.getCandidateAtBranchPoint(branchDeterminers[i]); } // go backwards through the plans and find all that are equal boolean stillEqual = true; for (int k = plans.size() - 1; k >= 0 && stillEqual; k--) { PlanNode toCheck = plans.get(k); for (int i = 0; i < branchDeterminers.length; i++) { PlanNode checkerChoice = toCheck.getCandidateAtBranchPoint(branchDeterminers[i]); if (checkerChoice != determinerChoice[i]) { // not the same anymore stillEqual = false; break; } } if (stillEqual) { // the same plans.remove(k); turn.add(toCheck); } } // now that we have only plans with the same branch alternatives, prune! if (turn.size() > 1) { prunePlanAlternativesWithCommonBranching(turn); } result.addAll(turn); } // after all turns are complete plans.clear(); plans.addAll(result); } }

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

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java#L681-L783

train

Prunes the alternatives of the given plans.

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apache/flink

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

NonReusingKeyGroupedIterator.nextKey

public boolean nextKey() throws IOException { if (lookahead != null) { // common case: whole value-iterator was consumed and a new key group is available. this.comparator.setReference(this.lookahead); this.valuesIterator.next = this.lookahead; this.lastKeyRecord = this.lookahead; this.lookahead = null; this.valuesIterator.iteratorAvailable = true; return true; } // first element, empty/done, or the values iterator was not entirely consumed if (this.done) { return false; } if (this.valuesIterator != null) { // values was not entirely consumed. move to the next key // Required if user code / reduce() method did not read the whole value iterator. E next; while (true) { if ((next = this.iterator.next()) != null) { if (!this.comparator.equalToReference(next)) { // the keys do not match, so we have a new group. store the current key this.comparator.setReference(next); this.valuesIterator.next = next; this.lastKeyRecord = next; this.valuesIterator.iteratorAvailable = true; return true; } } else { // input exhausted this.valuesIterator.next = null; this.valuesIterator = null; this.lastKeyRecord = null; this.done = true; return false; } } } else { // first element // get the next element E first = this.iterator.next(); if (first != null) { this.comparator.setReference(first); this.valuesIterator = new ValuesIterator(first); this.lastKeyRecord = first; return true; } else { // empty input, set everything null this.done = true; return false; } } }

java

public boolean nextKey() throws IOException { if (lookahead != null) { // common case: whole value-iterator was consumed and a new key group is available. this.comparator.setReference(this.lookahead); this.valuesIterator.next = this.lookahead; this.lastKeyRecord = this.lookahead; this.lookahead = null; this.valuesIterator.iteratorAvailable = true; return true; } // first element, empty/done, or the values iterator was not entirely consumed if (this.done) { return false; } if (this.valuesIterator != null) { // values was not entirely consumed. move to the next key // Required if user code / reduce() method did not read the whole value iterator. E next; while (true) { if ((next = this.iterator.next()) != null) { if (!this.comparator.equalToReference(next)) { // the keys do not match, so we have a new group. store the current key this.comparator.setReference(next); this.valuesIterator.next = next; this.lastKeyRecord = next; this.valuesIterator.iteratorAvailable = true; return true; } } else { // input exhausted this.valuesIterator.next = null; this.valuesIterator = null; this.lastKeyRecord = null; this.done = true; return false; } } } else { // first element // get the next element E first = this.iterator.next(); if (first != null) { this.comparator.setReference(first); this.valuesIterator = new ValuesIterator(first); this.lastKeyRecord = first; return true; } else { // empty input, set everything null this.done = true; return false; } } }

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Moves the iterator to the next key. This method may skip any values that have not yet been returned by the iterator created by the {@link #getValues()} method. Hence, if called multiple times it "removes" key groups. @return true, if the input iterator has an other group of records with the same key.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/NonReusingKeyGroupedIterator.java#L68-L126

train

Returns true if there is at least one key in the input stream.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/collection/dartsclone/details/DoubleArrayBuilder.java

DoubleArrayBuilder.buildDawg

private void buildDawg(Keyset keyset, DawgBuilder dawgBuilder) { dawgBuilder.init(); for (int i = 0; i < keyset.numKeys(); ++i) { dawgBuilder.insert(keyset.getKey(i), keyset.getValue(i)); } dawgBuilder.finish(); }

java

private void buildDawg(Keyset keyset, DawgBuilder dawgBuilder) { dawgBuilder.init(); for (int i = 0; i < keyset.numKeys(); ++i) { dawgBuilder.insert(keyset.getKey(i), keyset.getValue(i)); } dawgBuilder.finish(); }

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构建 @param keyset @param dawgBuilder

[ "构建" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/dartsclone/details/DoubleArrayBuilder.java#L81-L89

train

Build a Dawg from a Keyset.

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spring-projects/spring-boot

spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/AutoConfigurationImportSelector.java

AutoConfigurationImportSelector.getExclusions

protected Set<String> getExclusions(AnnotationMetadata metadata, AnnotationAttributes attributes) { Set<String> excluded = new LinkedHashSet<>(); excluded.addAll(asList(attributes, "exclude")); excluded.addAll(Arrays.asList(attributes.getStringArray("excludeName"))); excluded.addAll(getExcludeAutoConfigurationsProperty()); return excluded; }

java

protected Set<String> getExclusions(AnnotationMetadata metadata, AnnotationAttributes attributes) { Set<String> excluded = new LinkedHashSet<>(); excluded.addAll(asList(attributes, "exclude")); excluded.addAll(Arrays.asList(attributes.getStringArray("excludeName"))); excluded.addAll(getExcludeAutoConfigurationsProperty()); return excluded; }

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Return any exclusions that limit the candidate configurations. @param metadata the source metadata @param attributes the {@link #getAttributes(AnnotationMetadata) annotation attributes} @return exclusions or an empty set

[ "Return", "any", "exclusions", "that", "limit", "the", "candidate", "configurations", "." ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/AutoConfigurationImportSelector.java#L234-L241

train

Returns the set of excluded annotations.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/HanLP.java

HanLP.extractSummary

public static List<String> extractSummary(String document, int size, String sentence_separator) { return TextRankSentence.getTopSentenceList(document, size, sentence_separator); }

java

public static List<String> extractSummary(String document, int size, String sentence_separator) { return TextRankSentence.getTopSentenceList(document, size, sentence_separator); }

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自动摘要 @param document 目标文档 @param size 需要的关键句的个数 @param sentence_separator 分割目标文档时的句子分割符，正则格式，如：[。？?！!；;] @return 关键句列表

[ "自动摘要" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/HanLP.java#L843-L846

train

Extract summary from a text document.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/rpc/RpcUtils.java

RpcUtils.terminateRpcService

public static void terminateRpcService(RpcService rpcService, Time timeout) throws InterruptedException, ExecutionException, TimeoutException { rpcService.stopService().get(timeout.toMilliseconds(), TimeUnit.MILLISECONDS); }

java

public static void terminateRpcService(RpcService rpcService, Time timeout) throws InterruptedException, ExecutionException, TimeoutException { rpcService.stopService().get(timeout.toMilliseconds(), TimeUnit.MILLISECONDS); }

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Shuts the given rpc service down and waits for its termination. @param rpcService to shut down @param timeout for this operation @throws InterruptedException if the operation has been interrupted @throws ExecutionException if a problem occurred @throws TimeoutException if a timeout occurred

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rpc/RpcUtils.java#L89-L91

train

Terminate the RPC service.

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apache/incubator-shardingsphere

sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/metadata/datasource/DataSourceMetaDataFactory.java

DataSourceMetaDataFactory.newInstance

public static DataSourceMetaData newInstance(final DatabaseType databaseType, final String url) { switch (databaseType) { case H2: return new H2DataSourceMetaData(url); case MySQL: return new MySQLDataSourceMetaData(url); case Oracle: return new OracleDataSourceMetaData(url); case PostgreSQL: return new PostgreSQLDataSourceMetaData(url); case SQLServer: return new SQLServerDataSourceMetaData(url); default: throw new UnsupportedOperationException(String.format("Cannot support database [%s].", databaseType)); } }

java

public static DataSourceMetaData newInstance(final DatabaseType databaseType, final String url) { switch (databaseType) { case H2: return new H2DataSourceMetaData(url); case MySQL: return new MySQLDataSourceMetaData(url); case Oracle: return new OracleDataSourceMetaData(url); case PostgreSQL: return new PostgreSQLDataSourceMetaData(url); case SQLServer: return new SQLServerDataSourceMetaData(url); default: throw new UnsupportedOperationException(String.format("Cannot support database [%s].", databaseType)); } }

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Create new instance of data source meta data. @param databaseType database type @param url data source URL @return data source meta data

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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d

https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/metadata/datasource/DataSourceMetaDataFactory.java#L44-L59

train

Create a new instance of the data source meta data class.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/net/NetUtil.java

NetUtil.longToIpv4

public static String longToIpv4(long longIP) { final StringBuilder sb = new StringBuilder(); // 直接右移24位 sb.append(String.valueOf(longIP >>> 24)); sb.append("."); // 将高8位置0，然后右移16位 sb.append(String.valueOf((longIP & 0x00FFFFFF) >>> 16)); sb.append("."); sb.append(String.valueOf((longIP & 0x0000FFFF) >>> 8)); sb.append("."); sb.append(String.valueOf(longIP & 0x000000FF)); return sb.toString(); }

java

public static String longToIpv4(long longIP) { final StringBuilder sb = new StringBuilder(); // 直接右移24位 sb.append(String.valueOf(longIP >>> 24)); sb.append("."); // 将高8位置0，然后右移16位 sb.append(String.valueOf((longIP & 0x00FFFFFF) >>> 16)); sb.append("."); sb.append(String.valueOf((longIP & 0x0000FFFF) >>> 8)); sb.append("."); sb.append(String.valueOf(longIP & 0x000000FF)); return sb.toString(); }

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根据long值获取ip v4地址 @param longIP IP的long表示形式 @return IP V4 地址

[ "根据long值获取ip", "v4地址" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/net/NetUtil.java#L53-L65

train

Converts a long to a IPv4 address.

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looly/hutool

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

ExcelUtil.getReader

public static ExcelReader getReader(String bookFilePath, int sheetIndex) { try { return new ExcelReader(bookFilePath, sheetIndex); } catch (NoClassDefFoundError e) { throw new DependencyException(ObjectUtil.defaultIfNull(e.getCause(), e), PoiChecker.NO_POI_ERROR_MSG); } }

java

public static ExcelReader getReader(String bookFilePath, int sheetIndex) { try { return new ExcelReader(bookFilePath, sheetIndex); } catch (NoClassDefFoundError e) { throw new DependencyException(ObjectUtil.defaultIfNull(e.getCause(), e), PoiChecker.NO_POI_ERROR_MSG); } }

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获取Excel读取器，通过调用{@link ExcelReader}的read或readXXX方法读取Excel内容 @param bookFilePath Excel文件路径，绝对路径或相对于ClassPath路径 @param sheetIndex sheet序号，0表示第一个sheet @return {@link ExcelReader} @since 3.1.1

[ "获取Excel读取器，通过调用", "{", "@link", "ExcelReader", "}", "的read或readXXX方法读取Excel内容" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelUtil.java#L215-L221

train

Returns an ExcelReader object for the specified sheet index.

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looly/hutool

hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoDS.java

MongoDS.getCollection

public MongoCollection<Document> getCollection(String dbName, String collectionName) { return getDb(dbName).getCollection(collectionName); }

java

public MongoCollection<Document> getCollection(String dbName, String collectionName) { return getDb(dbName).getCollection(collectionName); }

[ "public", "MongoCollection", "<", "Document", ">", "getCollection", "(", "String", "dbName", ",", "String", "collectionName", ")", "{", "return", "getDb", "(", "dbName", ")", ".", "getCollection", "(", "collectionName", ")", ";", "}" ]

获得MongoDB中指定集合对象 @param dbName 库名 @param collectionName 集合名 @return DBCollection

[ "获得MongoDB中指定集合对象" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoDS.java#L244-L246

train

Returns a collection of documents in the database with the given name.

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apache/flink

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

GraphAnalyticBase.setParallelism

public GraphAnalyticBase<K, VV, EV, T> setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 || parallelism == PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; return this; }

java

public GraphAnalyticBase<K, VV, EV, T> setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 || parallelism == PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; return this; }

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Set the parallelism for this analytic's operators. This parameter is necessary because processing a small amount of data with high operator parallelism is slow and wasteful with memory and buffers. Operator parallelism should be set to this given value unless processing asymptotically more data, in which case the default job parallelism should be inherited. @param parallelism operator parallelism @return this

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/GraphAnalyticBase.java#L60-L67

train

Sets the parallelism of the graph.

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apache/flink

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

NestedRow.setNullAt

@Override public void setNullAt(int i) { assertIndexIsValid(i); SegmentsUtil.bitSet(segments, offset, i + 8); SegmentsUtil.setLong(segments, getFieldOffset(i), 0); }

java

@Override public void setNullAt(int i) { assertIndexIsValid(i); SegmentsUtil.bitSet(segments, offset, i + 8); SegmentsUtil.setLong(segments, getFieldOffset(i), 0); }

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See {@link BinaryRow#setNullAt(int)}.

[ "See", "{" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/NestedRow.java#L83-L88

train

Sets the value of the null field at the given index.

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spring-projects/spring-boot

spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyReactiveWebServerFactory.java

JettyReactiveWebServerFactory.setServerCustomizers

public void setServerCustomizers( Collection<? extends JettyServerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); this.jettyServerCustomizers = new ArrayList<>(customizers); }

java

public void setServerCustomizers( Collection<? extends JettyServerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); this.jettyServerCustomizers = new ArrayList<>(customizers); }

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Sets {@link JettyServerCustomizer}s that will be applied to the {@link Server} before it is started. Calling this method will replace any existing customizers. @param customizers the Jetty customizers to apply

[ "Sets", "{" ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyReactiveWebServerFactory.java#L121-L125

train

Sets the server customizers.

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apache/flink

flink-mesos/src/main/java/org/apache/flink/mesos/util/MesosArtifactServer.java

MesosArtifactServer.addPath

public synchronized URL addPath(Path path, Path remoteFile) throws IOException, MalformedURLException { if (paths.containsKey(remoteFile)) { throw new IllegalArgumentException("duplicate path registered"); } if (remoteFile.isAbsolute()) { throw new IllegalArgumentException("not expecting an absolute path"); } URL fileURL = new URL(baseURL, remoteFile.toString()); router.addAny(fileURL.getPath(), new VirtualFileServerHandler(path)); paths.put(remoteFile, fileURL); return fileURL; }

java

public synchronized URL addPath(Path path, Path remoteFile) throws IOException, MalformedURLException { if (paths.containsKey(remoteFile)) { throw new IllegalArgumentException("duplicate path registered"); } if (remoteFile.isAbsolute()) { throw new IllegalArgumentException("not expecting an absolute path"); } URL fileURL = new URL(baseURL, remoteFile.toString()); router.addAny(fileURL.getPath(), new VirtualFileServerHandler(path)); paths.put(remoteFile, fileURL); return fileURL; }

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Adds a path to the artifact server. @param path the qualified FS path to serve (local, hdfs, etc). @param remoteFile the remote path with which to locate the file. @return the fully-qualified remote path to the file. @throws MalformedURLException if the remote path is invalid.

[ "Adds", "a", "path", "to", "the", "artifact", "server", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-mesos/src/main/java/org/apache/flink/mesos/util/MesosArtifactServer.java#L209-L222

train

Add a path to the virtual file system.

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looly/hutool

hutool-db/src/main/java/cn/hutool/db/ds/AbstractDSFactory.java

AbstractDSFactory.createDataSource

private DataSourceWrapper createDataSource(String group) { if (group == null) { group = StrUtil.EMPTY; } final Setting config = setting.getSetting(group); if (CollectionUtil.isEmpty(config)) { throw new DbRuntimeException("No config for group: [{}]", group); } // 基本信息 final String url = config.getAndRemoveStr(KEY_ALIAS_URL); if (StrUtil.isBlank(url)) { throw new DbRuntimeException("No JDBC URL for group: [{}]", group); } // 自动识别Driver String driver = config.getAndRemoveStr(KEY_ALIAS_DRIVER); if (StrUtil.isBlank(driver)) { driver = DriverUtil.identifyDriver(url); } final String user = config.getAndRemoveStr(KEY_ALIAS_USER); final String pass = config.getAndRemoveStr(KEY_ALIAS_PASSWORD); return DataSourceWrapper.wrap(createDataSource(url, driver, user, pass, config), driver); }

java

private DataSourceWrapper createDataSource(String group) { if (group == null) { group = StrUtil.EMPTY; } final Setting config = setting.getSetting(group); if (CollectionUtil.isEmpty(config)) { throw new DbRuntimeException("No config for group: [{}]", group); } // 基本信息 final String url = config.getAndRemoveStr(KEY_ALIAS_URL); if (StrUtil.isBlank(url)) { throw new DbRuntimeException("No JDBC URL for group: [{}]", group); } // 自动识别Driver String driver = config.getAndRemoveStr(KEY_ALIAS_DRIVER); if (StrUtil.isBlank(driver)) { driver = DriverUtil.identifyDriver(url); } final String user = config.getAndRemoveStr(KEY_ALIAS_USER); final String pass = config.getAndRemoveStr(KEY_ALIAS_PASSWORD); return DataSourceWrapper.wrap(createDataSource(url, driver, user, pass, config), driver); }

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创建数据源 @param group 分组 @return {@link DataSourceWrapper} 数据源包装

[ "创建数据源" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/ds/AbstractDSFactory.java#L104-L128

train

Create data source wrapper.

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looly/hutool

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

BeanUtil.isEmpty

public static boolean isEmpty(Object bean) { if (null != bean) { for (Field field : ReflectUtil.getFields(bean.getClass())) { if (null != ReflectUtil.getFieldValue(bean, field)) { return false; } } } return true; }

java

public static boolean isEmpty(Object bean) { if (null != bean) { for (Field field : ReflectUtil.getFields(bean.getClass())) { if (null != ReflectUtil.getFieldValue(bean, field)) { return false; } } } return true; }

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判断Bean是否为空对象，空对象表示本身为<code>null</code>或者所有属性都为<code>null</code> @param bean Bean对象 @return 是否为空，<code>true</code> - 空 / <code>false</code> - 非空 @since 4.1.10

[ "判断Bean是否为空对象，空对象表示本身为<code", ">", "null<", "/", "code", ">", "或者所有属性都为<code", ">", "null<", "/", "code", ">" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java#L682-L691

train

Checks if the given object is empty.

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apache/spark

sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVectorUtils.java

ColumnVectorUtils.populate

public static void populate(WritableColumnVector col, InternalRow row, int fieldIdx) { int capacity = col.capacity; DataType t = col.dataType(); if (row.isNullAt(fieldIdx)) { col.putNulls(0, capacity); } else { if (t == DataTypes.BooleanType) { col.putBooleans(0, capacity, row.getBoolean(fieldIdx)); } else if (t == DataTypes.ByteType) { col.putBytes(0, capacity, row.getByte(fieldIdx)); } else if (t == DataTypes.ShortType) { col.putShorts(0, capacity, row.getShort(fieldIdx)); } else if (t == DataTypes.IntegerType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t == DataTypes.LongType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } else if (t == DataTypes.FloatType) { col.putFloats(0, capacity, row.getFloat(fieldIdx)); } else if (t == DataTypes.DoubleType) { col.putDoubles(0, capacity, row.getDouble(fieldIdx)); } else if (t == DataTypes.StringType) { UTF8String v = row.getUTF8String(fieldIdx); byte[] bytes = v.getBytes(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes); } } else if (t instanceof DecimalType) { DecimalType dt = (DecimalType)t; Decimal d = row.getDecimal(fieldIdx, dt.precision(), dt.scale()); if (dt.precision() <= Decimal.MAX_INT_DIGITS()) { col.putInts(0, capacity, (int)d.toUnscaledLong()); } else if (dt.precision() <= Decimal.MAX_LONG_DIGITS()) { col.putLongs(0, capacity, d.toUnscaledLong()); } else { final BigInteger integer = d.toJavaBigDecimal().unscaledValue(); byte[] bytes = integer.toByteArray(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes, 0, bytes.length); } } } else if (t instanceof CalendarIntervalType) { CalendarInterval c = (CalendarInterval)row.get(fieldIdx, t); col.getChild(0).putInts(0, capacity, c.months); col.getChild(1).putLongs(0, capacity, c.microseconds); } else if (t instanceof DateType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t instanceof TimestampType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } } }

java

public static void populate(WritableColumnVector col, InternalRow row, int fieldIdx) { int capacity = col.capacity; DataType t = col.dataType(); if (row.isNullAt(fieldIdx)) { col.putNulls(0, capacity); } else { if (t == DataTypes.BooleanType) { col.putBooleans(0, capacity, row.getBoolean(fieldIdx)); } else if (t == DataTypes.ByteType) { col.putBytes(0, capacity, row.getByte(fieldIdx)); } else if (t == DataTypes.ShortType) { col.putShorts(0, capacity, row.getShort(fieldIdx)); } else if (t == DataTypes.IntegerType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t == DataTypes.LongType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } else if (t == DataTypes.FloatType) { col.putFloats(0, capacity, row.getFloat(fieldIdx)); } else if (t == DataTypes.DoubleType) { col.putDoubles(0, capacity, row.getDouble(fieldIdx)); } else if (t == DataTypes.StringType) { UTF8String v = row.getUTF8String(fieldIdx); byte[] bytes = v.getBytes(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes); } } else if (t instanceof DecimalType) { DecimalType dt = (DecimalType)t; Decimal d = row.getDecimal(fieldIdx, dt.precision(), dt.scale()); if (dt.precision() <= Decimal.MAX_INT_DIGITS()) { col.putInts(0, capacity, (int)d.toUnscaledLong()); } else if (dt.precision() <= Decimal.MAX_LONG_DIGITS()) { col.putLongs(0, capacity, d.toUnscaledLong()); } else { final BigInteger integer = d.toJavaBigDecimal().unscaledValue(); byte[] bytes = integer.toByteArray(); for (int i = 0; i < capacity; i++) { col.putByteArray(i, bytes, 0, bytes.length); } } } else if (t instanceof CalendarIntervalType) { CalendarInterval c = (CalendarInterval)row.get(fieldIdx, t); col.getChild(0).putInts(0, capacity, c.months); col.getChild(1).putLongs(0, capacity, c.microseconds); } else if (t instanceof DateType) { col.putInts(0, capacity, row.getInt(fieldIdx)); } else if (t instanceof TimestampType) { col.putLongs(0, capacity, row.getLong(fieldIdx)); } } }

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Populates the entire `col` with `row[fieldIdx]`

[ "Populates", "the", "entire", "col", "with", "row", "[", "fieldIdx", "]" ]

25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVectorUtils.java#L48-L99

train

Populates a column vector with data from the given row.

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apache/flink

flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ClosableBlockingQueue.java

ClosableBlockingQueue.close

public boolean close() { lock.lock(); try { if (open) { if (elements.isEmpty()) { open = false; nonEmpty.signalAll(); return true; } else { return false; } } else { // already closed return true; } } finally { lock.unlock(); } }

java

public boolean close() { lock.lock(); try { if (open) { if (elements.isEmpty()) { open = false; nonEmpty.signalAll(); return true; } else { return false; } } else { // already closed return true; } } finally { lock.unlock(); } }

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Tries to close the queue. Closing the queue only succeeds when no elements are in the queue when this method is called. Checking whether the queue is empty, and marking the queue as closed is one atomic operation. @return True, if the queue is closed, false if the queue remains open.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/ClosableBlockingQueue.java#L140-L159

train

Close the list.

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apache/flink

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

PythonDataStream.filter

public PythonSingleOutputStreamOperator filter(FilterFunction<PyObject> filter) throws IOException { return new PythonSingleOutputStreamOperator(stream.filter(new PythonFilterFunction(filter))); }

java

public PythonSingleOutputStreamOperator filter(FilterFunction<PyObject> filter) throws IOException { return new PythonSingleOutputStreamOperator(stream.filter(new PythonFilterFunction(filter))); }

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A thin wrapper layer over {@link DataStream#filter(FilterFunction)}. @param filter The FilterFunction that is called for each element of the DataStream. @return The filtered {@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#L101-L103

train

Filter the stream.

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spring-projects/spring-boot

spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/filewatch/FileSystemWatcher.java

FileSystemWatcher.start

public void start() { synchronized (this.monitor) { saveInitialSnapshots(); if (this.watchThread == null) { Map<File, FolderSnapshot> localFolders = new HashMap<>(); localFolders.putAll(this.folders); this.watchThread = new Thread(new Watcher(this.remainingScans, new ArrayList<>(this.listeners), this.triggerFilter, this.pollInterval, this.quietPeriod, localFolders)); this.watchThread.setName("File Watcher"); this.watchThread.setDaemon(this.daemon); this.watchThread.start(); } } }

java

public void start() { synchronized (this.monitor) { saveInitialSnapshots(); if (this.watchThread == null) { Map<File, FolderSnapshot> localFolders = new HashMap<>(); localFolders.putAll(this.folders); this.watchThread = new Thread(new Watcher(this.remainingScans, new ArrayList<>(this.listeners), this.triggerFilter, this.pollInterval, this.quietPeriod, localFolders)); this.watchThread.setName("File Watcher"); this.watchThread.setDaemon(this.daemon); this.watchThread.start(); } } }

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Start monitoring the source folder for changes.

[ "Start", "monitoring", "the", "source", "folder", "for", "changes", "." ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/filewatch/FileSystemWatcher.java#L154-L168

train

Starts the watch thread.

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apache/spark

launcher/src/main/java/org/apache/spark/launcher/ChildProcAppHandle.java

ChildProcAppHandle.getError

@Override public Optional<Throwable> getError() { return redirector != null ? Optional.ofNullable(redirector.getError()) : Optional.empty(); }

java

@Override public Optional<Throwable> getError() { return redirector != null ? Optional.ofNullable(redirector.getError()) : Optional.empty(); }

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Parses the logs of {@code spark-submit} and returns the last exception thrown. Since {@link SparkLauncher} runs {@code spark-submit} in a sub-process, it's difficult to accurately retrieve the full {@link Throwable} from the {@code spark-submit} process. This method parses the logs of the sub-process and provides a best-effort attempt at returning the last exception thrown by the {@code spark-submit} process. Only the exception message is parsed, the associated stacktrace is meaningless. @return an {@link Optional} containing a {@link RuntimeException} with the parsed exception, otherwise returns a {@link Optional#EMPTY}

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25ee0474f47d9c30d6f553a7892d9549f91071cf

https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/ChildProcAppHandle.java#L62-L65

train

Get the error.

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looly/hutool

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

SecureUtil.readCertificate

public static Certificate readCertificate(String type, InputStream in) { return KeyUtil.readCertificate(type, in); }

java

public static Certificate readCertificate(String type, InputStream in) { return KeyUtil.readCertificate(type, in); }

[ "public", "static", "Certificate", "readCertificate", "(", "String", "type", ",", "InputStream", "in", ")", "{", "return", "KeyUtil", ".", "readCertificate", "(", "type", ",", "in", ")", ";", "}" ]

读取Certification文件 Certification为证书文件 see: http://snowolf.iteye.com/blog/391931 @param type 类型，例如X.509 @param in {@link InputStream} 如果想从文件读取.cer文件，使用 {@link FileUtil#getInputStream(java.io.File)} 读取 @return {@link Certificate}

[ "读取Certification文件<br", ">", "Certification为证书文件<br", ">", "see", ":", "http", ":", "//", "snowolf", ".", "iteye", ".", "com", "/", "blog", "/", "391931" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L377-L379

train

Reads a certificate from an input stream.

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looly/hutool

hutool-core/src/main/java/cn/hutool/core/convert/impl/Jdk8DateConverter.java

Jdk8DateConverter.parseFromCharSequence

private Object parseFromCharSequence(CharSequence value) { Method method; if (null != this.format) { final Object dateTimeFormatter = getDateTimeFormatter(); method = ReflectUtil.getMethod(this.targetType, "parse", CharSequence.class, dateTimeFormatter.getClass()); return ReflectUtil.invokeStatic(method, value, dateTimeFormatter); } else { method = ReflectUtil.getMethod(this.targetType, "parse", CharSequence.class); return ReflectUtil.invokeStatic(method, value); } }

java

private Object parseFromCharSequence(CharSequence value) { Method method; if (null != this.format) { final Object dateTimeFormatter = getDateTimeFormatter(); method = ReflectUtil.getMethod(this.targetType, "parse", CharSequence.class, dateTimeFormatter.getClass()); return ReflectUtil.invokeStatic(method, value, dateTimeFormatter); } else { method = ReflectUtil.getMethod(this.targetType, "parse", CharSequence.class); return ReflectUtil.invokeStatic(method, value); } }

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通过反射从字符串转java.time中的对象 @param value 字符串值 @return 日期对象

[ "通过反射从字符串转java", ".", "time中的对象" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/convert/impl/Jdk8DateConverter.java#L98-L108

train

Parse a single value from a CharSequence.

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looly/hutool

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

NumberUtil.toBytes

public static byte[] toBytes(int value) { final byte[] result = new byte[4]; result[0] = (byte) (value >> 24); result[1] = (byte) (value >> 16); result[2] = (byte) (value >> 8); result[3] = (byte) (value /* >> 0 */); return result; }

java

public static byte[] toBytes(int value) { final byte[] result = new byte[4]; result[0] = (byte) (value >> 24); result[1] = (byte) (value >> 16); result[2] = (byte) (value >> 8); result[3] = (byte) (value /* >> 0 */); return result; }

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int值转byte数组，使用大端字节序（高位字节在前，低位字节在后） 见：http://www.ruanyifeng.com/blog/2016/11/byte-order.html @param value 值 @return byte数组 @since 4.4.5

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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L2202-L2211

train

Converts an int to a byte array.

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redisson/redisson

redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java

CacheConfig.fromJSON

public static Map<String, ? extends CacheConfig> fromJSON(URL url) throws IOException { return new CacheConfigSupport().fromJSON(url); }

java

public static Map<String, ? extends CacheConfig> fromJSON(URL url) throws IOException { return new CacheConfigSupport().fromJSON(url); }

[ "public", "static", "Map", "<", "String", ",", "?", "extends", "CacheConfig", ">", "fromJSON", "(", "URL", "url", ")", "throws", "IOException", "{", "return", "new", "CacheConfigSupport", "(", ")", ".", "fromJSON", "(", "url", ")", ";", "}" ]

Read config objects stored in JSON format from <code>URL</code> @param url of config @return config @throws IOException error

[ "Read", "config", "objects", "stored", "in", "JSON", "format", "from", "<code", ">", "URL<", "/", "code", ">" ]

d3acc0249b2d5d658d36d99e2c808ce49332ea44

https://github.com/redisson/redisson/blob/d3acc0249b2d5d658d36d99e2c808ce49332ea44/redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java#L146-L148

train

Creates a map of cache configs from a JSON file.

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netty/netty

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

OpenSslSessionStats.connectGood

public long connectGood() { Lock readerLock = context.ctxLock.readLock(); readerLock.lock(); try { return SSLContext.sessionConnectGood(context.ctx); } finally { readerLock.unlock(); } }

java

public long connectGood() { Lock readerLock = context.ctxLock.readLock(); readerLock.lock(); try { return SSLContext.sessionConnectGood(context.ctx); } finally { readerLock.unlock(); } }

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Returns the number of successfully established SSL/TLS sessions in client mode.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/OpenSslSessionStats.java#L69-L77

train

Get the number of good sessions.

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looly/hutool

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

FileUtil.getOutputStream

public static BufferedOutputStream getOutputStream(File file) throws IORuntimeException { try { return new BufferedOutputStream(new FileOutputStream(touch(file))); } catch (Exception e) { throw new IORuntimeException(e); } }

java

public static BufferedOutputStream getOutputStream(File file) throws IORuntimeException { try { return new BufferedOutputStream(new FileOutputStream(touch(file))); } catch (Exception e) { throw new IORuntimeException(e); } }

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获得一个输出流对象 @param file 文件 @return 输出流对象 @throws IORuntimeException IO异常

[ "获得一个输出流对象" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L2557-L2563

train

Creates a BufferedOutputStream for writing to the specified file.

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netty/netty

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

StringUtil.toHexString

public static <T extends Appendable> T toHexString(T dst, byte[] src) { return toHexString(dst, src, 0, src.length); }

java

public static <T extends Appendable> T toHexString(T dst, byte[] src) { return toHexString(dst, src, 0, src.length); }

[ "public", "static", "<", "T", "extends", "Appendable", ">", "T", "toHexString", "(", "T", "dst", ",", "byte", "[", "]", "src", ")", "{", "return", "toHexString", "(", "dst", ",", "src", ",", "0", ",", "src", ".", "length", ")", ";", "}" ]

Converts the specified byte array into a hexadecimal value and appends it to the specified buffer.

[ "Converts", "the", "specified", "byte", "array", "into", "a", "hexadecimal", "value", "and", "appends", "it", "to", "the", "specified", "buffer", "." ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/internal/StringUtil.java#L174-L176

train

Convert a byte array to a hexidecimal string.

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apache/flink

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

StringValue.startsWith

public boolean startsWith(CharSequence prefix, int startIndex) { final char[] thisChars = this.value; final int pLen = this.len; final int sLen = prefix.length(); if ((startIndex < 0) || (startIndex > pLen - sLen)) { return false; } int sPos = 0; while (sPos < sLen) { if (thisChars[startIndex++] != prefix.charAt(sPos++)) { return false; } } return true; }

java

public boolean startsWith(CharSequence prefix, int startIndex) { final char[] thisChars = this.value; final int pLen = this.len; final int sLen = prefix.length(); if ((startIndex < 0) || (startIndex > pLen - sLen)) { return false; } int sPos = 0; while (sPos < sLen) { if (thisChars[startIndex++] != prefix.charAt(sPos++)) { return false; } } return true; }

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Checks whether the substring, starting at the specified index, starts with the given prefix string. @param prefix The prefix character sequence. @param startIndex The position to start checking for the prefix. @return True, if this StringValue substring, starting at position <code>startIndex</code> has <code>prefix</code> as its prefix.

[ "Checks", "whether", "the", "substring", "starting", "at", "the", "specified", "index", "starts", "with", "the", "given", "prefix", "string", "." ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/StringValue.java#L383-L399

train

Checks if this string starts with the given prefix.

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netty/netty

codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java

HttpUtil.getWebSocketContentLength

private static int getWebSocketContentLength(HttpMessage message) { // WebSocket messages have constant content-lengths. HttpHeaders h = message.headers(); if (message instanceof HttpRequest) { HttpRequest req = (HttpRequest) message; if (HttpMethod.GET.equals(req.method()) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY1) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY2)) { return 8; } } else if (message instanceof HttpResponse) { HttpResponse res = (HttpResponse) message; if (res.status().code() == 101 && h.contains(HttpHeaderNames.SEC_WEBSOCKET_ORIGIN) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_LOCATION)) { return 16; } } // Not a web socket message return -1; }

java

private static int getWebSocketContentLength(HttpMessage message) { // WebSocket messages have constant content-lengths. HttpHeaders h = message.headers(); if (message instanceof HttpRequest) { HttpRequest req = (HttpRequest) message; if (HttpMethod.GET.equals(req.method()) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY1) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_KEY2)) { return 8; } } else if (message instanceof HttpResponse) { HttpResponse res = (HttpResponse) message; if (res.status().code() == 101 && h.contains(HttpHeaderNames.SEC_WEBSOCKET_ORIGIN) && h.contains(HttpHeaderNames.SEC_WEBSOCKET_LOCATION)) { return 16; } } // Not a web socket message return -1; }

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Returns the content length of the specified web socket message. If the specified message is not a web socket message, {@code -1} is returned.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpUtil.java#L203-L224

train

Gets the content length of a web socket message.

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looly/hutool

hutool-db/src/main/java/cn/hutool/db/handler/HandleHelper.java

HandleHelper.handleRow

public static <T> T handleRow(int columnCount, ResultSetMetaData meta, ResultSet rs, T bean) throws SQLException { return handleRow(columnCount, meta, rs).toBeanIgnoreCase(bean); }

java

public static <T> T handleRow(int columnCount, ResultSetMetaData meta, ResultSet rs, T bean) throws SQLException { return handleRow(columnCount, meta, rs).toBeanIgnoreCase(bean); }

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处理单条数据 @param columnCount 列数 @param meta ResultSetMetaData @param rs 数据集 @param bean 目标Bean @return 每一行的Entity @throws SQLException SQL执行异常 @since 3.3.1

[ "处理单条数据" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/handler/HandleHelper.java#L41-L43

train

Handle a single row of a ResultSet.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/NormalizedKeySorter.java

NormalizedKeySorter.write

@Override public boolean write(T record) throws IOException { //check whether we need a new memory segment for the sort index if (this.currentSortIndexOffset > this.lastIndexEntryOffset) { if (memoryAvailable()) { this.currentSortIndexSegment = nextMemorySegment(); this.sortIndex.add(this.currentSortIndexSegment); this.currentSortIndexOffset = 0; this.sortIndexBytes += this.segmentSize; } else { return false; } } // serialize the record into the data buffers try { this.serializer.serialize(record, this.recordCollector); } catch (EOFException e) { return false; } final long newOffset = this.recordCollector.getCurrentOffset(); final boolean shortRecord = newOffset - this.currentDataBufferOffset < LARGE_RECORD_THRESHOLD; if (!shortRecord && LOG.isDebugEnabled()) { LOG.debug("Put a large record ( >" + LARGE_RECORD_THRESHOLD + " into the sort buffer"); } // add the pointer and the normalized key this.currentSortIndexSegment.putLong(this.currentSortIndexOffset, shortRecord ? this.currentDataBufferOffset : (this.currentDataBufferOffset | LARGE_RECORD_TAG)); if (this.numKeyBytes != 0) { this.comparator.putNormalizedKey(record, this.currentSortIndexSegment, this.currentSortIndexOffset + OFFSET_LEN, this.numKeyBytes); } this.currentSortIndexOffset += this.indexEntrySize; this.currentDataBufferOffset = newOffset; this.numRecords++; return true; }

java

@Override public boolean write(T record) throws IOException { //check whether we need a new memory segment for the sort index if (this.currentSortIndexOffset > this.lastIndexEntryOffset) { if (memoryAvailable()) { this.currentSortIndexSegment = nextMemorySegment(); this.sortIndex.add(this.currentSortIndexSegment); this.currentSortIndexOffset = 0; this.sortIndexBytes += this.segmentSize; } else { return false; } } // serialize the record into the data buffers try { this.serializer.serialize(record, this.recordCollector); } catch (EOFException e) { return false; } final long newOffset = this.recordCollector.getCurrentOffset(); final boolean shortRecord = newOffset - this.currentDataBufferOffset < LARGE_RECORD_THRESHOLD; if (!shortRecord && LOG.isDebugEnabled()) { LOG.debug("Put a large record ( >" + LARGE_RECORD_THRESHOLD + " into the sort buffer"); } // add the pointer and the normalized key this.currentSortIndexSegment.putLong(this.currentSortIndexOffset, shortRecord ? this.currentDataBufferOffset : (this.currentDataBufferOffset | LARGE_RECORD_TAG)); if (this.numKeyBytes != 0) { this.comparator.putNormalizedKey(record, this.currentSortIndexSegment, this.currentSortIndexOffset + OFFSET_LEN, this.numKeyBytes); } this.currentSortIndexOffset += this.indexEntrySize; this.currentDataBufferOffset = newOffset; this.numRecords++; return true; }

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Writes a given record to this sort buffer. The written record will be appended and take the last logical position. @param record The record to be written. @return True, if the record was successfully written, false, if the sort buffer was full. @throws IOException Thrown, if an error occurred while serializing the record into the buffers.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/NormalizedKeySorter.java#L265-L306

train

Write the record into the data buffers.

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redisson/redisson

redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java

CacheConfig.fromYAML

public static Map<String, ? extends CacheConfig> fromYAML(String content) throws IOException { return new CacheConfigSupport().fromYAML(content); }

java

public static Map<String, ? extends CacheConfig> fromYAML(String content) throws IOException { return new CacheConfigSupport().fromYAML(content); }

[ "public", "static", "Map", "<", "String", ",", "?", "extends", "CacheConfig", ">", "fromYAML", "(", "String", "content", ")", "throws", "IOException", "{", "return", "new", "CacheConfigSupport", "(", ")", ".", "fromYAML", "(", "content", ")", ";", "}" ]

Read config objects stored in YAML format from <code>String</code> @param content of config @return config @throws IOException error

[ "Read", "config", "objects", "stored", "in", "YAML", "format", "from", "<code", ">", "String<", "/", "code", ">" ]

d3acc0249b2d5d658d36d99e2c808ce49332ea44

https://github.com/redisson/redisson/blob/d3acc0249b2d5d658d36d99e2c808ce49332ea44/redisson/src/main/java/org/redisson/spring/cache/CacheConfig.java#L179-L181

train

Creates a map from a YAML string.

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looly/hutool

hutool-db/src/main/java/cn/hutool/db/sql/SqlUtil.java

SqlUtil.toSqlDate

public static java.sql.Date toSqlDate(java.util.Date date) { return new java.sql.Date(date.getTime()); }

java

public static java.sql.Date toSqlDate(java.util.Date date) { return new java.sql.Date(date.getTime()); }

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转换为{@link java.sql.Date} @param date {@link java.util.Date} @return {@link java.sql.Date} @since 3.1.2

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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/sql/SqlUtil.java#L192-L194

train

Converts a java. util. Date to a java. sql. Date.

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spring-projects/spring-boot

spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskSchedulerBuilder.java

TaskSchedulerBuilder.customizers

public TaskSchedulerBuilder customizers( Iterable<TaskSchedulerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); return new TaskSchedulerBuilder(this.poolSize, this.awaitTermination, this.awaitTerminationPeriod, this.threadNamePrefix, append(null, customizers)); }

java

public TaskSchedulerBuilder customizers( Iterable<TaskSchedulerCustomizer> customizers) { Assert.notNull(customizers, "Customizers must not be null"); return new TaskSchedulerBuilder(this.poolSize, this.awaitTermination, this.awaitTerminationPeriod, this.threadNamePrefix, append(null, customizers)); }

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Set the {@link TaskSchedulerCustomizer taskSchedulerCustomizers} that should be applied to the {@link ThreadPoolTaskScheduler}. Customizers are applied in the order that they were added after builder configuration has been applied. Setting this value will replace any previously configured customizers. @param customizers the customizers to set @return a new builder instance @see #additionalCustomizers(TaskSchedulerCustomizer...)

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0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskSchedulerBuilder.java#L142-L148

train

Create a new TaskSchedulerBuilder with customizers.

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looly/hutool

hutool-cron/src/main/java/cn/hutool/cron/TaskTable.java

TaskTable.executeTaskIfMatch

public void executeTaskIfMatch(long millis) { final Lock readLock = lock.readLock(); try { readLock.lock(); executeTaskIfMatchInternal(millis); } finally { readLock.unlock(); } }

java

public void executeTaskIfMatch(long millis) { final Lock readLock = lock.readLock(); try { readLock.lock(); executeTaskIfMatchInternal(millis); } finally { readLock.unlock(); } }

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如果时间匹配则执行相应的Task，带读锁 @param millis 时间毫秒

[ "如果时间匹配则执行相应的Task，带读锁" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/TaskTable.java#L200-L208

train

Executes a task if the specified time has passed.

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netty/netty

codec/src/main/java/io/netty/handler/codec/MessageToByteEncoder.java

MessageToByteEncoder.allocateBuffer

protected ByteBuf allocateBuffer(ChannelHandlerContext ctx, @SuppressWarnings("unused") I msg, boolean preferDirect) throws Exception { if (preferDirect) { return ctx.alloc().ioBuffer(); } else { return ctx.alloc().heapBuffer(); } }

java

protected ByteBuf allocateBuffer(ChannelHandlerContext ctx, @SuppressWarnings("unused") I msg, boolean preferDirect) throws Exception { if (preferDirect) { return ctx.alloc().ioBuffer(); } else { return ctx.alloc().heapBuffer(); } }

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Allocate a {@link ByteBuf} which will be used as argument of {@link #encode(ChannelHandlerContext, I, ByteBuf)}. Sub-classes may override this method to return {@link ByteBuf} with a perfect matching {@code initialCapacity}.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec/src/main/java/io/netty/handler/codec/MessageToByteEncoder.java#L137-L144

train

Allocate a buffer for a single message.

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looly/hutool

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

NumberUtil.sub

public static double sub(float v1, float v2) { return sub(Float.toString(v1), Float.toString(v2)).doubleValue(); }

java

public static double sub(float v1, float v2) { return sub(Float.toString(v1), Float.toString(v2)).doubleValue(); }

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提供精确的减法运算 @param v1 被减数 @param v2 减数 @return 差

[ "提供精确的减法运算" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L192-L194

train

Subtract two floating point numbers.

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apache/flink

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

StringValue.setValue

public void setValue(CharBuffer buffer) { checkNotNull(buffer); final int len = buffer.length(); ensureSize(len); buffer.get(this.value, 0, len); this.len = len; this.hashCode = 0; }

java

public void setValue(CharBuffer buffer) { checkNotNull(buffer); final int len = buffer.length(); ensureSize(len); buffer.get(this.value, 0, len); this.len = len; this.hashCode = 0; }

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Sets the contents of this string to the contents of the given <tt>CharBuffer</tt>. The characters between the buffer's current position (inclusive) and the buffer's limit (exclusive) will be stored in this string. @param buffer The character buffer to read the characters from.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/StringValue.java#L205-L212

train

Sets the value of this object from the specified char buffer.

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looly/hutool

hutool-db/src/main/java/cn/hutool/db/handler/BeanHandler.java

BeanHandler.create

public static <E> BeanHandler<E> create(Class<E> beanType) { return new BeanHandler<E>(beanType); }

java

public static <E> BeanHandler<E> create(Class<E> beanType) { return new BeanHandler<E>(beanType); }

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创建一个 BeanHandler对象 @param <E> 处理对象类型 @param beanType Bean类型 @return BeanHandler对象

[ "创建一个", "BeanHandler对象" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/handler/BeanHandler.java#L25-L27

train

Creates a new instance of the BeanHandler class.

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netty/netty

codec-http2/src/main/java/io/netty/handler/codec/http2/ReadOnlyHttp2Headers.java

ReadOnlyHttp2Headers.serverHeaders

public static ReadOnlyHttp2Headers serverHeaders(boolean validateHeaders, AsciiString status, AsciiString... otherHeaders) { return new ReadOnlyHttp2Headers(validateHeaders, new AsciiString[] { PseudoHeaderName.STATUS.value(), status }, otherHeaders); }

java

public static ReadOnlyHttp2Headers serverHeaders(boolean validateHeaders, AsciiString status, AsciiString... otherHeaders) { return new ReadOnlyHttp2Headers(validateHeaders, new AsciiString[] { PseudoHeaderName.STATUS.value(), status }, otherHeaders); }

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Create a new read only representation of headers used by servers. @param validateHeaders {@code true} will run validation on each header name/value pair to ensure protocol compliance. @param status The value for {@link PseudoHeaderName#STATUS}. @param otherHeaders A an array of key:value pairs. Must not contain any <a href="https://tools.ietf.org/html/rfc7540#section-8.1.2.1">pseudo headers</a> or {@code null} names/values. A copy will NOT be made of this array. If the contents of this array may be modified externally you are responsible for passing in a copy. @return a new read only representation of headers used by servers.

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/ReadOnlyHttp2Headers.java#L107-L113

train

Create a ReadOnlyHttp2Headers object with the server headers.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/instance/InstanceManager.java

InstanceManager.unregisterAllTaskManagers

public void unregisterAllTaskManagers() { for(Instance instance: registeredHostsById.values()) { deadHosts.add(instance.getTaskManagerID()); instance.markDead(); totalNumberOfAliveTaskSlots -= instance.getTotalNumberOfSlots(); notifyDeadInstance(instance); } registeredHostsById.clear(); registeredHostsByResource.clear(); }

java

public void unregisterAllTaskManagers() { for(Instance instance: registeredHostsById.values()) { deadHosts.add(instance.getTaskManagerID()); instance.markDead(); totalNumberOfAliveTaskSlots -= instance.getTotalNumberOfSlots(); notifyDeadInstance(instance); } registeredHostsById.clear(); registeredHostsByResource.clear(); }

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Unregisters all currently registered TaskManagers from the InstanceManager.

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/instance/InstanceManager.java#L230-L243

train

Unregister all TaskManagers.

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looly/hutool

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

Entity.parseBean

@Override public <T> Entity parseBean(T bean) { if (StrUtil.isBlank(this.tableName)) { this.setTableName(StrUtil.lowerFirst(bean.getClass().getSimpleName())); } return (Entity) super.parseBean(bean); }

java

@Override public <T> Entity parseBean(T bean) { if (StrUtil.isBlank(this.tableName)) { this.setTableName(StrUtil.lowerFirst(bean.getClass().getSimpleName())); } return (Entity) super.parseBean(bean); }

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将值对象转换为Entity 类名会被当作表名，小写第一个字母 @param <T> Bean对象类型 @param bean Bean对象 @return 自己

[ "将值对象转换为Entity<br", ">", "类名会被当作表名，小写第一个字母" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/Entity.java#L193-L199

train

Override this method to set the table name and the entity type.

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netty/netty

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

ResourcesUtil.getFile

public static File getFile(Class resourceClass, String fileName) { try { return new File(URLDecoder.decode(resourceClass.getResource(fileName).getFile(), "UTF-8")); } catch (UnsupportedEncodingException e) { return new File(resourceClass.getResource(fileName).getFile()); } }

java

public static File getFile(Class resourceClass, String fileName) { try { return new File(URLDecoder.decode(resourceClass.getResource(fileName).getFile(), "UTF-8")); } catch (UnsupportedEncodingException e) { return new File(resourceClass.getResource(fileName).getFile()); } }

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Returns a {@link File} named {@code fileName} associated with {@link Class} {@code resourceClass} . @param resourceClass The associated class @param fileName The file name @return The file named {@code fileName} associated with {@link Class} {@code resourceClass} .

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/internal/ResourcesUtil.java#L34-L40

train

Gets the File from the resource class and the file name.

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apache/flink

flink-core/src/main/java/org/apache/flink/api/common/operators/CollectionExecutor.java

CollectionExecutor.executeDataSink

private <IN> void executeDataSink(GenericDataSinkBase<?> sink, int superStep) throws Exception { Operator<?> inputOp = sink.getInput(); if (inputOp == null) { throw new InvalidProgramException("The data sink " + sink.getName() + " has no input."); } @SuppressWarnings("unchecked") List<IN> input = (List<IN>) execute(inputOp); @SuppressWarnings("unchecked") GenericDataSinkBase<IN> typedSink = (GenericDataSinkBase<IN>) sink; // build the runtime context and compute broadcast variables, if necessary TaskInfo taskInfo = new TaskInfo(typedSink.getName(), 1, 0, 1, 0); RuntimeUDFContext ctx; MetricGroup metrics = new UnregisteredMetricsGroup(); if (RichOutputFormat.class.isAssignableFrom(typedSink.getUserCodeWrapper().getUserCodeClass())) { ctx = superStep == 0 ? new RuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics) : new IterationRuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics); } else { ctx = null; } typedSink.executeOnCollections(input, ctx, executionConfig); }

java

private <IN> void executeDataSink(GenericDataSinkBase<?> sink, int superStep) throws Exception { Operator<?> inputOp = sink.getInput(); if (inputOp == null) { throw new InvalidProgramException("The data sink " + sink.getName() + " has no input."); } @SuppressWarnings("unchecked") List<IN> input = (List<IN>) execute(inputOp); @SuppressWarnings("unchecked") GenericDataSinkBase<IN> typedSink = (GenericDataSinkBase<IN>) sink; // build the runtime context and compute broadcast variables, if necessary TaskInfo taskInfo = new TaskInfo(typedSink.getName(), 1, 0, 1, 0); RuntimeUDFContext ctx; MetricGroup metrics = new UnregisteredMetricsGroup(); if (RichOutputFormat.class.isAssignableFrom(typedSink.getUserCodeWrapper().getUserCodeClass())) { ctx = superStep == 0 ? new RuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics) : new IterationRuntimeUDFContext(taskInfo, userCodeClassLoader, executionConfig, cachedFiles, accumulators, metrics); } else { ctx = null; } typedSink.executeOnCollections(input, ctx, executionConfig); }

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

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

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/CollectionExecutor.java#L175-L201

train

Execute a data sink.

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hankcs/HanLP

src/main/java/com/hankcs/hanlp/corpus/document/Document.java

Document.getWordList

public List<IWord> getWordList() { List<IWord> wordList = new LinkedList<IWord>(); for (Sentence sentence : sentenceList) { wordList.addAll(sentence.wordList); } return wordList; }

java

public List<IWord> getWordList() { List<IWord> wordList = new LinkedList<IWord>(); for (Sentence sentence : sentenceList) { wordList.addAll(sentence.wordList); } return wordList; }

[ "public", "List", "<", "IWord", ">", "getWordList", "(", ")", "{", "List", "<", "IWord", ">", "wordList", "=", "new", "LinkedList", "<", "IWord", ">", "(", ")", ";", "for", "(", "Sentence", "sentence", ":", "sentenceList", ")", "{", "wordList", ".", "addAll", "(", "sentence", ".", "wordList", ")", ";", "}", "return", "wordList", ";", "}" ]

获取单词序列 @return

[ "获取单词序列" ]

a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce

https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/document/Document.java#L66-L74

train

Get the word list.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/TaskExecutor.java

TaskExecutor.requestStackTraceSample

@Override public CompletableFuture<StackTraceSampleResponse> requestStackTraceSample( final ExecutionAttemptID executionAttemptId, final int sampleId, final int numSamples, final Time delayBetweenSamples, final int maxStackTraceDepth, final Time timeout) { final Task task = taskSlotTable.getTask(executionAttemptId); if (task == null) { return FutureUtils.completedExceptionally( new IllegalStateException(String.format("Cannot sample task %s. " + "Task is not known to the task manager.", executionAttemptId))); } final CompletableFuture<List<StackTraceElement[]>> stackTracesFuture = stackTraceSampleService.requestStackTraceSample( TaskStackTraceSampleableTaskAdapter.fromTask(task), numSamples, delayBetweenSamples, maxStackTraceDepth); return stackTracesFuture.thenApply(stackTraces -> new StackTraceSampleResponse(sampleId, executionAttemptId, stackTraces)); }

java

@Override public CompletableFuture<StackTraceSampleResponse> requestStackTraceSample( final ExecutionAttemptID executionAttemptId, final int sampleId, final int numSamples, final Time delayBetweenSamples, final int maxStackTraceDepth, final Time timeout) { final Task task = taskSlotTable.getTask(executionAttemptId); if (task == null) { return FutureUtils.completedExceptionally( new IllegalStateException(String.format("Cannot sample task %s. " + "Task is not known to the task manager.", executionAttemptId))); } final CompletableFuture<List<StackTraceElement[]>> stackTracesFuture = stackTraceSampleService.requestStackTraceSample( TaskStackTraceSampleableTaskAdapter.fromTask(task), numSamples, delayBetweenSamples, maxStackTraceDepth); return stackTracesFuture.thenApply(stackTraces -> new StackTraceSampleResponse(sampleId, executionAttemptId, stackTraces)); }

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======================================================================

[ "======================================================================" ]

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/TaskExecutor.java#L403-L427

train

Request a stack trace sample.

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spring-projects/spring-boot

spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java

JSONObject.optDouble

public double optDouble(String name, double fallback) { Object object = opt(name); Double result = JSON.toDouble(object); return result != null ? result : fallback; }

java

public double optDouble(String name, double fallback) { Object object = opt(name); Double result = JSON.toDouble(object); return result != null ? result : fallback; }

[ "public", "double", "optDouble", "(", "String", "name", ",", "double", "fallback", ")", "{", "Object", "object", "=", "opt", "(", "name", ")", ";", "Double", "result", "=", "JSON", ".", "toDouble", "(", "object", ")", ";", "return", "result", "!=", "null", "?", "result", ":", "fallback", ";", "}" ]

Returns the value mapped by {@code name} if it exists and is a double or can be coerced to a double. Returns {@code fallback} otherwise. @param name the name of the property @param fallback a fallback value @return the value or {@code fallback}

[ "Returns", "the", "value", "mapped", "by", "{" ]

0b27f7c70e164b2b1a96477f1d9c1acba56790c1

https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-tools/spring-boot-configuration-processor/src/json-shade/java/org/springframework/boot/configurationprocessor/json/JSONObject.java#L465-L469

train

Get the property as a double or fallback if the property is not present or is not a double.

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netty/netty

transport/src/main/java/io/netty/channel/AbstractCoalescingBufferQueue.java

AbstractCoalescingBufferQueue.composeIntoComposite

protected final ByteBuf composeIntoComposite(ByteBufAllocator alloc, ByteBuf cumulation, ByteBuf next) { // Create a composite buffer to accumulate this pair and potentially all the buffers // in the queue. Using +2 as we have already dequeued current and next. CompositeByteBuf composite = alloc.compositeBuffer(size() + 2); try { composite.addComponent(true, cumulation); composite.addComponent(true, next); } catch (Throwable cause) { composite.release(); safeRelease(next); throwException(cause); } return composite; }

java

protected final ByteBuf composeIntoComposite(ByteBufAllocator alloc, ByteBuf cumulation, ByteBuf next) { // Create a composite buffer to accumulate this pair and potentially all the buffers // in the queue. Using +2 as we have already dequeued current and next. CompositeByteBuf composite = alloc.compositeBuffer(size() + 2); try { composite.addComponent(true, cumulation); composite.addComponent(true, next); } catch (Throwable cause) { composite.release(); safeRelease(next); throwException(cause); } return composite; }

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Compose {@code cumulation} and {@code next} into a new {@link CompositeByteBuf}.

[ "Compose", "{" ]

ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/AbstractCoalescingBufferQueue.java#L270-L283

train

Compose two buffers into a composite buffer.

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looly/hutool

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

BCUtil.readPublicKey

public static PublicKey readPublicKey(InputStream pemStream) { final Certificate certificate = KeyUtil.readX509Certificate(pemStream); if(null == certificate) { return null; } return certificate.getPublicKey(); }

java

public static PublicKey readPublicKey(InputStream pemStream) { final Certificate certificate = KeyUtil.readX509Certificate(pemStream); if(null == certificate) { return null; } return certificate.getPublicKey(); }

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读取PEM格式的公钥 @param pemStream pem流 @return {@link PublicKey} @since 4.5.2

[ "读取PEM格式的公钥" ]

bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a

https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/BCUtil.java#L109-L115

train

Reads a public key from the specified input stream.

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apache/flink

flink-runtime/src/main/java/org/apache/flink/runtime/concurrent/FutureUtils.java

FutureUtils.waitForAll

public static ConjunctFuture<Void> waitForAll(Collection<? extends CompletableFuture<?>> futures) { checkNotNull(futures, "futures"); return new WaitingConjunctFuture(futures); }

java

public static ConjunctFuture<Void> waitForAll(Collection<? extends CompletableFuture<?>> futures) { checkNotNull(futures, "futures"); return new WaitingConjunctFuture(futures); }

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Creates a future that is complete once all of the given futures have completed. The future fails (completes exceptionally) once one of the given futures fails. The ConjunctFuture gives access to how many Futures have already completed successfully, via {@link ConjunctFuture#getNumFuturesCompleted()}. @param futures The futures to wait on. No null entries are allowed. @return The WaitingFuture that completes once all given futures are complete (or one fails).

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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/concurrent/FutureUtils.java#L528-L532

train

Waits all the given futures to complete.

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apache/flink

flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/BulkPartialSolutionNode.java

BulkPartialSolutionNode.setCandidateProperties

public void setCandidateProperties(GlobalProperties gProps, LocalProperties lProps, Channel initialInput) { if (this.cachedPlans != null) { throw new IllegalStateException(); } else { this.cachedPlans = Collections.<PlanNode>singletonList(new BulkPartialSolutionPlanNode(this, "PartialSolution ("+this.getOperator().getName()+")", gProps, lProps, initialInput)); } }

java

public void setCandidateProperties(GlobalProperties gProps, LocalProperties lProps, Channel initialInput) { if (this.cachedPlans != null) { throw new IllegalStateException(); } else { this.cachedPlans = Collections.<PlanNode>singletonList(new BulkPartialSolutionPlanNode(this, "PartialSolution ("+this.getOperator().getName()+")", gProps, lProps, initialInput)); } }

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

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

b62db93bf63cb3bb34dd03d611a779d9e3fc61ac

https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/BulkPartialSolutionNode.java#L47-L54

train

Sets the candidate properties of this partial solution.

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netty/netty

common/src/main/java/io/netty/util/CharsetUtil.java

CharsetUtil.encoder

public static CharsetEncoder encoder(Charset charset, CodingErrorAction codingErrorAction) { return encoder(charset, codingErrorAction, codingErrorAction); }

java

public static CharsetEncoder encoder(Charset charset, CodingErrorAction codingErrorAction) { return encoder(charset, codingErrorAction, codingErrorAction); }

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Returns a new {@link CharsetEncoder} for the {@link Charset} with the specified error action. @param charset The specified charset @param codingErrorAction The encoder's action for malformed-input and unmappable-character errors @return The encoder for the specified {@code charset}

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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c

https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/CharsetUtil.java#L103-L105

train

Create a charset encoder for the given charset.

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