repo stringclasses 11 values | path stringlengths 41 214 | func_name stringlengths 7 82 | original_string stringlengths 77 11.9k | language stringclasses 1 value | code stringlengths 77 11.9k | code_tokens listlengths 22 1.57k | docstring stringlengths 2 2.27k | docstring_tokens listlengths 1 352 | sha stringclasses 11 values | url stringlengths 129 319 | partition stringclasses 1 value | summary stringlengths 7 191 | input_ids listlengths 502 502 | token_type_ids listlengths 502 502 | attention_mask listlengths 502 502 | labels listlengths 502 502 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
apache/flink | flink-container/src/main/java/org/apache/flink/container/entrypoint/JarManifestParser.java | JarManifestParser.findEntryClass | @VisibleForTesting
static Optional<String> findEntryClass(File jarFile) throws IOException {
return findFirstManifestAttribute(
jarFile,
PackagedProgram.MANIFEST_ATTRIBUTE_ASSEMBLER_CLASS,
PackagedProgram.MANIFEST_ATTRIBUTE_MAIN_CLASS);
} | java | @VisibleForTesting
static Optional<String> findEntryClass(File jarFile) throws IOException {
return findFirstManifestAttribute(
jarFile,
PackagedProgram.MANIFEST_ATTRIBUTE_ASSEMBLER_CLASS,
PackagedProgram.MANIFEST_ATTRIBUTE_MAIN_CLASS);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/resource/ResourceUtil.java | ResourceUtil.getReader | public static BufferedReader getReader(String resurce, Charset charset) {
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/JobLeaderService.java | JobLeaderService.containsJob | @VisibleForTesting
public boolean containsJob(JobID jobId) {
Preconditions.checkState(JobLeaderService.State.STARTED == state, "The service is currently not running.");
return jobLeaderServices.containsKey(jobId);
} | java | @VisibleForTesting
public boolean containsJob(JobID jobId) {
Preconditions.checkState(JobLeaderService.State.STARTED == state, "The service is currently not running.");
return jobLeaderServices.containsKey(jobId);
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looly/hutool | hutool-json/src/main/java/cn/hutool/json/JSONObject.java | JSONObject.toJSONString | @Override
public String toJSONString(int indentFactor) throws JSONException {
final StringWriter w = new StringWriter();
return this.write(w, indentFactor, 0).toString();
} | java | @Override
public String toJSONString(int indentFactor) throws JSONException {
final StringWriter w = new StringWriter();
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looly/hutool | hutool-setting/src/main/java/cn/hutool/setting/Setting.java | Setting.getAndRemove | public Object getAndRemove(String... keys) {
Object value = null;
for (String key : keys) {
value = remove(key);
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break;
}
}
return value;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/XmlUtil.java | XmlUtil.elementText | public static String elementText(Element element, String tagName) {
Element child = getElement(element, tagName);
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Element child = getElement(element, tagName);
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/typeutils/BinaryRowSerializer.java | BinaryRowSerializer.checkSkipReadForFixLengthPart | public void checkSkipReadForFixLengthPart(AbstractPagedInputView source) throws IOException {
// skip if there is no enough size.
// Note: Use currentSegmentLimit instead of segmentSize.
int available = source.getCurrentSegmentLimit() - source.getCurrentPositionInSegment();
if (available < getSerializedRowFixedPartLength()) {
source.advance();
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} | java | public void checkSkipReadForFixLengthPart(AbstractPagedInputView source) throws IOException {
// skip if there is no enough size.
// Note: Use currentSegmentLimit instead of segmentSize.
int available = source.getCurrentSegmentLimit() - source.getCurrentPositionInSegment();
if (available < getSerializedRowFixedPartLength()) {
source.advance();
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/seg/WordBasedSegment.java | WordBasedSegment.generateWord | protected static void generateWord(List<Vertex> linkedArray, WordNet wordNetOptimum)
{
fixResultByRule(linkedArray);
//--------------------------------------------------------------------
// 建造新词网
wordNetOptimum.addAll(linkedArray);
} | java | protected static void generateWord(List<Vertex> linkedArray, WordNet wordNetOptimum)
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fixResultByRule(linkedArray);
//--------------------------------------------------------------------
// 建造新词网
wordNetOptimum.addAll(linkedArray);
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apache/flink | flink-core/src/main/java/org/apache/flink/core/fs/Path.java | Path.read | @Override
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final String scheme = StringUtils.readNullableString(in);
final String userInfo = StringUtils.readNullableString(in);
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throw new IOException("Error reconstructing URI", e);
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}
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final int port = in.readInt();
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final String fragment = StringUtils.readNullableString(in);
try {
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looly/hutool | hutool-crypto/src/main/java/cn/hutool/crypto/asymmetric/BaseAsymmetric.java | BaseAsymmetric.init | @SuppressWarnings("unchecked")
protected T init(String algorithm, PrivateKey privateKey, PublicKey publicKey) {
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if (null == privateKey && null == publicKey) {
initKeys();
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return (T) this;
} | java | @SuppressWarnings("unchecked")
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initKeys();
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if (null != privateKey) {
this.privateKey = privateKey;
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if (null != publicKey) {
this.publicKey = publicKey;
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}
return (T) this;
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looly/hutool | hutool-http/src/main/java/cn/hutool/http/HttpUtil.java | HttpUtil.get | public static String get(String urlString, Charset customCharset) {
return HttpRequest.get(urlString).charset(customCharset).execute().body();
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apache/flink | flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/plan/rules/logical/FlinkAggregateExpandDistinctAggregatesRule.java | FlinkAggregateExpandDistinctAggregatesRule.doRewrite | private void doRewrite(RelBuilder relBuilder, Aggregate aggregate, int n,
List<Integer> argList, int filterArg, List<RexInputRef> refs) {
final RexBuilder rexBuilder = aggregate.getCluster().getRexBuilder();
final List<RelDataTypeField> leftFields;
if (n == 0) {
leftFields = null;
} else {
leftFields = relBuilder.peek().getRowType().getFieldList();
}
// Aggregate(
// child,
// {COUNT(DISTINCT 1), SUM(DISTINCT 1), SUM(2)})
//
// becomes
//
// Aggregate(
// Join(
// child,
// Aggregate(child, < all columns > {}),
// INNER,
// <f2 = f5>))
//
// E.g.
// SELECT deptno, SUM(DISTINCT sal), COUNT(DISTINCT gender), MAX(age)
// FROM Emps
// GROUP BY deptno
//
// becomes
//
// SELECT e.deptno, adsal.sum_sal, adgender.count_gender, e.max_age
// FROM (
// SELECT deptno, MAX(age) as max_age
// FROM Emps GROUP BY deptno) AS e
// JOIN (
// SELECT deptno, COUNT(gender) AS count_gender FROM (
// SELECT DISTINCT deptno, gender FROM Emps) AS dgender
// GROUP BY deptno) AS adgender
// ON e.deptno = adgender.deptno
// JOIN (
// SELECT deptno, SUM(sal) AS sum_sal FROM (
// SELECT DISTINCT deptno, sal FROM Emps) AS dsal
// GROUP BY deptno) AS adsal
// ON e.deptno = adsal.deptno
// GROUP BY e.deptno
//
// Note that if a query contains no non-distinct aggregates, then the
// very first join/group by is omitted. In the example above, if
// MAX(age) is removed, then the sub-select of "e" is not needed, and
// instead the two other group by's are joined to one another.
// Project the columns of the GROUP BY plus the arguments
// to the agg function.
final Map<Integer, Integer> sourceOf = new HashMap<>();
createSelectDistinct(relBuilder, aggregate, argList, filterArg, sourceOf);
// Now compute the aggregate functions on top of the distinct dataset.
// Each distinct agg becomes a non-distinct call to the corresponding
// field from the right; for example,
// "COUNT(DISTINCT e.sal)"
// becomes
// "COUNT(distinct_e.sal)".
final List<AggregateCall> aggCallList = new ArrayList<>();
final List<AggregateCall> aggCalls = aggregate.getAggCallList();
final int groupAndIndicatorCount =
aggregate.getGroupCount() + aggregate.getIndicatorCount();
int i = groupAndIndicatorCount - 1;
for (AggregateCall aggCall : aggCalls) {
++i;
// Ignore agg calls which are not distinct or have the wrong set
// arguments. If we're rewriting aggs whose args are {sal}, we will
// rewrite COUNT(DISTINCT sal) and SUM(DISTINCT sal) but ignore
// COUNT(DISTINCT gender) or SUM(sal).
if (!aggCall.isDistinct()) {
continue;
}
if (!aggCall.getArgList().equals(argList)) {
continue;
}
// Re-map arguments.
final int argCount = aggCall.getArgList().size();
final List<Integer> newArgs = new ArrayList<>(argCount);
for (int j = 0; j < argCount; j++) {
final Integer arg = aggCall.getArgList().get(j);
newArgs.add(sourceOf.get(arg));
}
final int newFilterArg =
aggCall.filterArg >= 0 ? sourceOf.get(aggCall.filterArg) : -1;
final AggregateCall newAggCall =
AggregateCall.create(aggCall.getAggregation(), false,
aggCall.isApproximate(), newArgs,
newFilterArg, aggCall.getType(), aggCall.getName());
assert refs.get(i) == null;
if (n == 0) {
refs.set(i,
new RexInputRef(groupAndIndicatorCount + aggCallList.size(),
newAggCall.getType()));
} else {
refs.set(i,
new RexInputRef(leftFields.size() + groupAndIndicatorCount
+ aggCallList.size(), newAggCall.getType()));
}
aggCallList.add(newAggCall);
}
final Map<Integer, Integer> map = new HashMap<>();
for (Integer key : aggregate.getGroupSet()) {
map.put(key, map.size());
}
final ImmutableBitSet newGroupSet = aggregate.getGroupSet().permute(map);
assert newGroupSet
.equals(ImmutableBitSet.range(aggregate.getGroupSet().cardinality()));
com.google.common.collect.ImmutableList<ImmutableBitSet> newGroupingSets = null;
if (aggregate.indicator) {
newGroupingSets =
ImmutableBitSet.ORDERING.immutableSortedCopy(
ImmutableBitSet.permute(aggregate.getGroupSets(), map));
}
relBuilder.push(
aggregate.copy(aggregate.getTraitSet(), relBuilder.build(),
aggregate.indicator, newGroupSet, newGroupingSets, aggCallList));
// If there's no left child yet, no need to create the join
if (n == 0) {
return;
}
// Create the join condition. It is of the form
// 'left.f0 = right.f0 and left.f1 = right.f1 and ...'
// where {f0, f1, ...} are the GROUP BY fields.
final List<RelDataTypeField> distinctFields =
relBuilder.peek().getRowType().getFieldList();
final List<RexNode> conditions = com.google.common.collect.Lists.newArrayList();
for (i = 0; i < groupAndIndicatorCount; ++i) {
// null values form its own group
// use "is not distinct from" so that the join condition
// allows null values to match.
conditions.add(
rexBuilder.makeCall(SqlStdOperatorTable.IS_NOT_DISTINCT_FROM,
RexInputRef.of(i, leftFields),
new RexInputRef(leftFields.size() + i,
distinctFields.get(i).getType())));
}
// Join in the new 'select distinct' relation.
relBuilder.join(JoinRelType.INNER, conditions);
} | java | private void doRewrite(RelBuilder relBuilder, Aggregate aggregate, int n,
List<Integer> argList, int filterArg, List<RexInputRef> refs) {
final RexBuilder rexBuilder = aggregate.getCluster().getRexBuilder();
final List<RelDataTypeField> leftFields;
if (n == 0) {
leftFields = null;
} else {
leftFields = relBuilder.peek().getRowType().getFieldList();
}
// Aggregate(
// child,
// {COUNT(DISTINCT 1), SUM(DISTINCT 1), SUM(2)})
//
// becomes
//
// Aggregate(
// Join(
// child,
// Aggregate(child, < all columns > {}),
// INNER,
// <f2 = f5>))
//
// E.g.
// SELECT deptno, SUM(DISTINCT sal), COUNT(DISTINCT gender), MAX(age)
// FROM Emps
// GROUP BY deptno
//
// becomes
//
// SELECT e.deptno, adsal.sum_sal, adgender.count_gender, e.max_age
// FROM (
// SELECT deptno, MAX(age) as max_age
// FROM Emps GROUP BY deptno) AS e
// JOIN (
// SELECT deptno, COUNT(gender) AS count_gender FROM (
// SELECT DISTINCT deptno, gender FROM Emps) AS dgender
// GROUP BY deptno) AS adgender
// ON e.deptno = adgender.deptno
// JOIN (
// SELECT deptno, SUM(sal) AS sum_sal FROM (
// SELECT DISTINCT deptno, sal FROM Emps) AS dsal
// GROUP BY deptno) AS adsal
// ON e.deptno = adsal.deptno
// GROUP BY e.deptno
//
// Note that if a query contains no non-distinct aggregates, then the
// very first join/group by is omitted. In the example above, if
// MAX(age) is removed, then the sub-select of "e" is not needed, and
// instead the two other group by's are joined to one another.
// Project the columns of the GROUP BY plus the arguments
// to the agg function.
final Map<Integer, Integer> sourceOf = new HashMap<>();
createSelectDistinct(relBuilder, aggregate, argList, filterArg, sourceOf);
// Now compute the aggregate functions on top of the distinct dataset.
// Each distinct agg becomes a non-distinct call to the corresponding
// field from the right; for example,
// "COUNT(DISTINCT e.sal)"
// becomes
// "COUNT(distinct_e.sal)".
final List<AggregateCall> aggCallList = new ArrayList<>();
final List<AggregateCall> aggCalls = aggregate.getAggCallList();
final int groupAndIndicatorCount =
aggregate.getGroupCount() + aggregate.getIndicatorCount();
int i = groupAndIndicatorCount - 1;
for (AggregateCall aggCall : aggCalls) {
++i;
// Ignore agg calls which are not distinct or have the wrong set
// arguments. If we're rewriting aggs whose args are {sal}, we will
// rewrite COUNT(DISTINCT sal) and SUM(DISTINCT sal) but ignore
// COUNT(DISTINCT gender) or SUM(sal).
if (!aggCall.isDistinct()) {
continue;
}
if (!aggCall.getArgList().equals(argList)) {
continue;
}
// Re-map arguments.
final int argCount = aggCall.getArgList().size();
final List<Integer> newArgs = new ArrayList<>(argCount);
for (int j = 0; j < argCount; j++) {
final Integer arg = aggCall.getArgList().get(j);
newArgs.add(sourceOf.get(arg));
}
final int newFilterArg =
aggCall.filterArg >= 0 ? sourceOf.get(aggCall.filterArg) : -1;
final AggregateCall newAggCall =
AggregateCall.create(aggCall.getAggregation(), false,
aggCall.isApproximate(), newArgs,
newFilterArg, aggCall.getType(), aggCall.getName());
assert refs.get(i) == null;
if (n == 0) {
refs.set(i,
new RexInputRef(groupAndIndicatorCount + aggCallList.size(),
newAggCall.getType()));
} else {
refs.set(i,
new RexInputRef(leftFields.size() + groupAndIndicatorCount
+ aggCallList.size(), newAggCall.getType()));
}
aggCallList.add(newAggCall);
}
final Map<Integer, Integer> map = new HashMap<>();
for (Integer key : aggregate.getGroupSet()) {
map.put(key, map.size());
}
final ImmutableBitSet newGroupSet = aggregate.getGroupSet().permute(map);
assert newGroupSet
.equals(ImmutableBitSet.range(aggregate.getGroupSet().cardinality()));
com.google.common.collect.ImmutableList<ImmutableBitSet> newGroupingSets = null;
if (aggregate.indicator) {
newGroupingSets =
ImmutableBitSet.ORDERING.immutableSortedCopy(
ImmutableBitSet.permute(aggregate.getGroupSets(), map));
}
relBuilder.push(
aggregate.copy(aggregate.getTraitSet(), relBuilder.build(),
aggregate.indicator, newGroupSet, newGroupingSets, aggCallList));
// If there's no left child yet, no need to create the join
if (n == 0) {
return;
}
// Create the join condition. It is of the form
// 'left.f0 = right.f0 and left.f1 = right.f1 and ...'
// where {f0, f1, ...} are the GROUP BY fields.
final List<RelDataTypeField> distinctFields =
relBuilder.peek().getRowType().getFieldList();
final List<RexNode> conditions = com.google.common.collect.Lists.newArrayList();
for (i = 0; i < groupAndIndicatorCount; ++i) {
// null values form its own group
// use "is not distinct from" so that the join condition
// allows null values to match.
conditions.add(
rexBuilder.makeCall(SqlStdOperatorTable.IS_NOT_DISTINCT_FROM,
RexInputRef.of(i, leftFields),
new RexInputRef(leftFields.size() + i,
distinctFields.get(i).getType())));
}
// Join in the new 'select distinct' relation.
relBuilder.join(JoinRelType.INNER, conditions);
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netty/netty | handler/src/main/java/io/netty/handler/stream/ChunkedWriteHandler.java | ChunkedWriteHandler.resumeTransfer | public void resumeTransfer() {
final ChannelHandlerContext ctx = this.ctx;
if (ctx == null) {
return;
}
if (ctx.executor().inEventLoop()) {
resumeTransfer0(ctx);
} else {
// let the transfer resume on the next event loop round
ctx.executor().execute(new Runnable() {
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} | java | public void resumeTransfer() {
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resumeTransfer0(ctx);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/TypeUtil.java | TypeUtil.getActualTypes | public static Type[] getActualTypes(Type actualType, Class<?> typeDefineClass, Type... typeVariables) {
if (false == typeDefineClass.isAssignableFrom(getClass(actualType))) {
throw new IllegalArgumentException("Parameter [superClass] must be assignable from [clazz]");
}
// 泛型参数标识符列表
final TypeVariable<?>[] typeVars = typeDefineClass.getTypeParameters();
if(ArrayUtil.isEmpty(typeVars)) {
return null;
}
// 实际类型列表
final Type[] actualTypeArguments = TypeUtil.getTypeArguments(actualType);
if(ArrayUtil.isEmpty(actualTypeArguments)) {
return null;
}
int size = Math.min(actualTypeArguments.length, typeVars.length);
final Map<TypeVariable<?>, Type> tableMap = new TableMap<>(typeVars, actualTypeArguments);
// 查找方法定义所在类或接口中此泛型参数的位置
final Type[] result = new Type[size];
for(int i = 0; i < typeVariables.length; i++) {
result[i] = (typeVariables[i] instanceof TypeVariable) ? tableMap.get(typeVariables[i]) : typeVariables[i];
}
return result;
} | java | public static Type[] getActualTypes(Type actualType, Class<?> typeDefineClass, Type... typeVariables) {
if (false == typeDefineClass.isAssignableFrom(getClass(actualType))) {
throw new IllegalArgumentException("Parameter [superClass] must be assignable from [clazz]");
}
// 泛型参数标识符列表
final TypeVariable<?>[] typeVars = typeDefineClass.getTypeParameters();
if(ArrayUtil.isEmpty(typeVars)) {
return null;
}
// 实际类型列表
final Type[] actualTypeArguments = TypeUtil.getTypeArguments(actualType);
if(ArrayUtil.isEmpty(actualTypeArguments)) {
return null;
}
int size = Math.min(actualTypeArguments.length, typeVars.length);
final Map<TypeVariable<?>, Type> tableMap = new TableMap<>(typeVars, actualTypeArguments);
// 查找方法定义所在类或接口中此泛型参数的位置
final Type[] result = new Type[size];
for(int i = 0; i < typeVariables.length; i++) {
result[i] = (typeVariables[i] instanceof TypeVariable) ? tableMap.get(typeVariables[i]) : typeVariables[i];
}
return result;
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由于子类中泛型参数实现和父类（接口）中泛型定义位置是一一对应的，因此可以通过对应关系找到泛型实现类型<br>
使用此方法注意：
<pre>
1. superClass必须是clazz的父类或者clazz实现的接口
2. typeVariable必须在superClass中声明
</pre>
@param actualType 真实类型所在类，此类中记录了泛型参数对应的实际类型
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@param typeVariables 泛型变量，需要的实际类型对应的泛型参数
@return 给定泛型参数对应的实际类型，如果无对应类型，返回null
@since 4.5.7 | [
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] | bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a | https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/TypeUtil.java#L281-L306 | train | Gets the actual types. | [
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networknt/light-4j | cluster/src/main/java/com/networknt/cluster/LightCluster.java | LightCluster.serviceToUrl | @Override
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apache/flink | flink-core/src/main/java/org/apache/flink/types/StringValue.java | StringValue.setValue | public void setValue(char[] chars, int offset, int len) {
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spring-projects/spring-boot | spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/orm/jpa/JpaProperties.java | JpaProperties.determineDatabase | @Deprecated
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public Database determineDatabase(DataSource dataSource) {
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/streamrecord/StreamRecord.java | StreamRecord.replace | @SuppressWarnings("unchecked")
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionGraph.java | ExecutionGraph.getArchivedExecutionConfig | @Override
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try {
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if (executionConfig != null) {
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SeleniumHQ/selenium | java/server/src/org/openqa/grid/internal/ExternalSessionKey.java | ExternalSessionKey.fromJsonResponseBody | public static ExternalSessionKey fromJsonResponseBody(String responseBody) {
try {
Map<String, Object> json = new Json().toType(responseBody, MAP_TYPE);
if (json.get("sessionId") instanceof String) {
return new ExternalSessionKey((String) json.get("sessionId"));
}
// W3C response
if (json.get("value") instanceof Map) {
Map<?, ?> value = (Map<?, ?>) json.get("value");
if (value.get("sessionId") instanceof String) {
return new ExternalSessionKey((String) value.get("sessionId"));
}
}
} catch (JsonException | ClassCastException e) {
return null;
}
return null;
} | java | public static ExternalSessionKey fromJsonResponseBody(String responseBody) {
try {
Map<String, Object> json = new Json().toType(responseBody, MAP_TYPE);
if (json.get("sessionId") instanceof String) {
return new ExternalSessionKey((String) json.get("sessionId"));
}
// W3C response
if (json.get("value") instanceof Map) {
Map<?, ?> value = (Map<?, ?>) json.get("value");
if (value.get("sessionId") instanceof String) {
return new ExternalSessionKey((String) value.get("sessionId"));
}
}
} catch (JsonException | ClassCastException e) {
return null;
}
return null;
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apache/flink | flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/pregel/VertexCentricIteration.java | VertexCentricIteration.withEdges | public static <K, VV, EV, Message> VertexCentricIteration<K, VV, EV, Message> withEdges(
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int maximumNumberOfIterations) {
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} | java | public static <K, VV, EV, Message> VertexCentricIteration<K, VV, EV, Message> withEdges(
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int maximumNumberOfIterations) {
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java | BeanUtil.mapToBean | public static <T> T mapToBean(Map<?, ?> map, Class<T> beanClass, CopyOptions copyOptions) {
return fillBeanWithMap(map, ReflectUtil.newInstance(beanClass), copyOptions);
} | java | public static <T> T mapToBean(Map<?, ?> map, Class<T> beanClass, CopyOptions copyOptions) {
return fillBeanWithMap(map, ReflectUtil.newInstance(beanClass), copyOptions);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java | FileUtil.getWebRoot | public static File getWebRoot() {
final String classPath = ClassUtil.getClassPath();
if (StrUtil.isNotBlank(classPath)) {
return getParent(file(classPath), 2);
}
return null;
} | java | public static File getWebRoot() {
final String classPath = ClassUtil.getClassPath();
if (StrUtil.isNotBlank(classPath)) {
return getParent(file(classPath), 2);
}
return null;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java | MapUtil.sort | public static <K, V> TreeMap<K, V> sort(Map<K, V> map, Comparator<? super K> comparator) {
TreeMap<K, V> result;
if (map instanceof TreeMap) {
// 已经是可排序Map，此时只有比较器一致才返回原map
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if (null == comparator || comparator.equals(result.comparator())) {
return result;
}
} else {
result = newTreeMap(map, comparator);
}
return result;
} | java | public static <K, V> TreeMap<K, V> sort(Map<K, V> map, Comparator<? super K> comparator) {
TreeMap<K, V> result;
if (map instanceof TreeMap) {
// 已经是可排序Map，此时只有比较器一致才返回原map
result = (TreeMap<K, V>) map;
if (null == comparator || comparator.equals(result.comparator())) {
return result;
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result = newTreeMap(map, comparator);
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apache/spark | launcher/src/main/java/org/apache/spark/launcher/AbstractLauncher.java | AbstractLauncher.addFile | public T addFile(String file) {
checkNotNull(file, "file");
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alibaba/canal | dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/DirectLogFetcher.java | DirectLogFetcher.close | public void close() throws IOException {
try {
if (conn != null) conn.close();
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mysqlOutput = null;
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logger.warn("Unable to close connection", e);
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try {
if (conn != null) conn.close();
conn = null;
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/writer/RecordWriter.java | RecordWriter.close | public void close() {
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if (outputFlusher.isPresent()) {
outputFlusher.get().terminate();
try {
outputFlusher.get().join();
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// ignore on close
// restore interrupt flag to fast exit further blocking calls
Thread.currentThread().interrupt();
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}
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clearBuffers();
// make sure we terminate the thread in any case
if (outputFlusher.isPresent()) {
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try {
outputFlusher.get().join();
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// ignore on close
// restore interrupt flag to fast exit further blocking calls
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/RuntimeUtil.java | RuntimeUtil.execForLines | public static List<String> execForLines(String... cmds) throws IORuntimeException {
return execForLines(CharsetUtil.systemCharset(), cmds);
} | java | public static List<String> execForLines(String... cmds) throws IORuntimeException {
return execForLines(CharsetUtil.systemCharset(), cmds);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java | CollUtil.addAllIfNotContains | public static <T> List<T> addAllIfNotContains(List<T> list, List<T> otherList) {
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list.add(t);
}
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} | java | public static <T> List<T> addAllIfNotContains(List<T> list, List<T> otherList) {
for (T t : otherList) {
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list.add(t);
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netty/netty | common/src/main/java/io/netty/util/internal/PromiseNotificationUtil.java | PromiseNotificationUtil.tryCancel | public static void tryCancel(Promise<?> p, InternalLogger logger) {
if (!p.cancel(false) && logger != null) {
Throwable err = p.cause();
if (err == null) {
logger.warn("Failed to cancel promise because it has succeeded already: {}", p);
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logger.warn(
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p, err);
}
}
} | java | public static void tryCancel(Promise<?> p, InternalLogger logger) {
if (!p.cancel(false) && logger != null) {
Throwable err = p.cause();
if (err == null) {
logger.warn("Failed to cancel promise because it has succeeded already: {}", p);
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logger.warn(
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/ClassUtil.java | ClassUtil.getDeclaredMethod | public static Method getDeclaredMethod(Class<?> clazz, String methodName, Class<?>... parameterTypes) throws SecurityException {
return ReflectUtil.getMethod(clazz, methodName, parameterTypes);
} | java | public static Method getDeclaredMethod(Class<?> clazz, String methodName, Class<?>... parameterTypes) throws SecurityException {
return ReflectUtil.getMethod(clazz, methodName, parameterTypes);
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networknt/light-4j | http-url/src/main/java/com/networknt/url/URLNormalizer.java | URLNormalizer.replaceIPWithDomainName | public URLNormalizer replaceIPWithDomainName() {
URL u = toURL();
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try {
InetAddress addr = InetAddress.getByName(u.getHost());
String host = addr.getHostName();
if (!u.getHost().equalsIgnoreCase(host)) {
url = url.replaceFirst(u.getHost(), host);
}
} catch (UnknownHostException e) {
logger.debug("Cannot resolve IP to host for :" + u.getHost(), e);
}
}
return this;
} | java | public URLNormalizer replaceIPWithDomainName() {
URL u = toURL();
if (!PATTERN_DOMAIN.matcher(u.getHost()).matches()) {
try {
InetAddress addr = InetAddress.getByName(u.getHost());
String host = addr.getHostName();
if (!u.getHost().equalsIgnoreCase(host)) {
url = url.replaceFirst(u.getHost(), host);
}
} catch (UnknownHostException e) {
logger.debug("Cannot resolve IP to host for :" + u.getHost(), e);
}
}
return this;
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alibaba/canal | client-adapter/launcher/src/main/java/com/alibaba/otter/canal/adapter/launcher/monitor/remote/DbRemoteConfigLoader.java | DbRemoteConfigLoader.loadRemoteAdapterConfigs | @Override
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// 加载远程adapter配置
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public void loadRemoteAdapterConfigs() {
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loadModifiedAdapterConfigs();
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobMaster.java | JobMaster.tryRestoreExecutionGraphFromSavepoint | private void tryRestoreExecutionGraphFromSavepoint(ExecutionGraph executionGraphToRestore, SavepointRestoreSettings savepointRestoreSettings) throws Exception {
if (savepointRestoreSettings.restoreSavepoint()) {
final CheckpointCoordinator checkpointCoordinator = executionGraphToRestore.getCheckpointCoordinator();
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}
}
} | java | private void tryRestoreExecutionGraphFromSavepoint(ExecutionGraph executionGraphToRestore, SavepointRestoreSettings savepointRestoreSettings) throws Exception {
if (savepointRestoreSettings.restoreSavepoint()) {
final CheckpointCoordinator checkpointCoordinator = executionGraphToRestore.getCheckpointCoordinator();
if (checkpointCoordinator != null) {
checkpointCoordinator.restoreSavepoint(
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executionGraphToRestore.getAllVertices(),
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}
}
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/map/MapBuilder.java | MapBuilder.create | public static <K, V> MapBuilder<K, V> create(Map<K, V> map) {
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} | java | public static <K, V> MapBuilder<K, V> create(Map<K, V> map) {
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apache/flink | flink-optimizer/src/main/java/org/apache/flink/optimizer/dataproperties/LocalProperties.java | LocalProperties.combine | public static LocalProperties combine(LocalProperties lp1, LocalProperties lp2) {
if (lp1.ordering != null) {
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} | java | public static LocalProperties combine(LocalProperties lp1, LocalProperties lp2) {
if (lp1.ordering != null) {
return lp1;
} else if (lp2.ordering != null) {
return lp2;
} else if (lp1.groupedFields != null) {
return lp1;
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return lp2;
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} else if (lp2.uniqueFields != null && !lp2.uniqueFields.isEmpty()) {
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apache/flink | flink-clients/src/main/java/org/apache/flink/client/program/PackagedProgramUtils.java | PackagedProgramUtils.createJobGraph | public static JobGraph createJobGraph(
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return createJobGraph(packagedProgram, configuration, defaultParallelism, null);
} | java | public static JobGraph createJobGraph(
PackagedProgram packagedProgram,
Configuration configuration,
int defaultParallelism) throws ProgramInvocationException {
return createJobGraph(packagedProgram, configuration, defaultParallelism, null);
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spring-projects/spring-boot | spring-boot-project/spring-boot/src/main/java/org/springframework/boot/SpringApplication.java | SpringApplication.setDefaultProperties | public void setDefaultProperties(Properties defaultProperties) {
this.defaultProperties = new HashMap<>();
for (Object key : Collections.list(defaultProperties.propertyNames())) {
this.defaultProperties.put((String) key, defaultProperties.get(key));
}
} | java | public void setDefaultProperties(Properties defaultProperties) {
this.defaultProperties = new HashMap<>();
for (Object key : Collections.list(defaultProperties.propertyNames())) {
this.defaultProperties.put((String) key, defaultProperties.get(key));
}
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alibaba/canal | client-adapter/elasticsearch/src/main/java/com/alibaba/otter/canal/client/adapter/es/service/ESSyncService.java | ESSyncService.delete | private void delete(ESSyncConfig config, Dml dml) {
List<Map<String, Object>> dataList = dml.getData();
if (dataList == null || dataList.isEmpty()) {
return;
}
SchemaItem schemaItem = config.getEsMapping().getSchemaItem();
for (Map<String, Object> data : dataList) {
if (data == null || data.isEmpty()) {
continue;
}
ESMapping mapping = config.getEsMapping();
// ------是主表------
if (schemaItem.getMainTable().getTableName().equalsIgnoreCase(dml.getTable())) {
if (mapping.get_id() != null) {
FieldItem idFieldItem = schemaItem.getIdFieldItem(mapping);
// 主键为简单字段
if (!idFieldItem.isMethod() && !idFieldItem.isBinaryOp()) {
Object idVal = esTemplate.getValFromData(mapping,
data,
idFieldItem.getFieldName(),
idFieldItem.getColumn().getColumnName());
if (logger.isTraceEnabled()) {
logger.trace("Main table delete es index, destination:{}, table: {}, index: {}, id: {}",
config.getDestination(),
dml.getTable(),
mapping.get_index(),
idVal);
}
esTemplate.delete(mapping, idVal, null);
} else {
// ------主键带函数, 查询sql获取主键删除------
// FIXME 删除时反查sql为空记录, 无法获获取 id field 值
mainTableDelete(config, dml, data);
}
} else {
FieldItem pkFieldItem = schemaItem.getIdFieldItem(mapping);
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dml.getTable(),
mapping.get_index(),
pkVal);
}
esFieldData.remove(pkFieldItem.getFieldName());
esFieldData.keySet().forEach(key -> esFieldData.put(key, null));
esTemplate.delete(mapping, pkVal, esFieldData);
} else {
// ------主键带函数, 查询sql获取主键删除------
mainTableDelete(config, dml, data);
}
}
}
// 从表的操作
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
if (!tableItem.getTableName().equals(dml.getTable())) {
continue;
}
// 关联条件出现在主表查询条件是否为简单字段
boolean allFieldsSimple = true;
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allFieldsSimple = false;
break;
}
}
// 所有查询字段均为简单字段
if (allFieldsSimple) {
// 不是子查询
if (!tableItem.isSubQuery()) {
// ------关联表简单字段更新为null------
Map<String, Object> esFieldData = new LinkedHashMap<>();
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), null);
}
joinTableSimpleFieldOperation(config, dml, data, tableItem, esFieldData);
} else {
// ------关联子表简单字段更新------
subTableSimpleFieldOperation(config, dml, data, null, tableItem);
}
} else {
// ------关联子表复杂字段更新 执行全sql更新es------
wholeSqlOperation(config, dml, data, null, tableItem);
}
}
}
} | java | private void delete(ESSyncConfig config, Dml dml) {
List<Map<String, Object>> dataList = dml.getData();
if (dataList == null || dataList.isEmpty()) {
return;
}
SchemaItem schemaItem = config.getEsMapping().getSchemaItem();
for (Map<String, Object> data : dataList) {
if (data == null || data.isEmpty()) {
continue;
}
ESMapping mapping = config.getEsMapping();
// ------是主表------
if (schemaItem.getMainTable().getTableName().equalsIgnoreCase(dml.getTable())) {
if (mapping.get_id() != null) {
FieldItem idFieldItem = schemaItem.getIdFieldItem(mapping);
// 主键为简单字段
if (!idFieldItem.isMethod() && !idFieldItem.isBinaryOp()) {
Object idVal = esTemplate.getValFromData(mapping,
data,
idFieldItem.getFieldName(),
idFieldItem.getColumn().getColumnName());
if (logger.isTraceEnabled()) {
logger.trace("Main table delete es index, destination:{}, table: {}, index: {}, id: {}",
config.getDestination(),
dml.getTable(),
mapping.get_index(),
idVal);
}
esTemplate.delete(mapping, idVal, null);
} else {
// ------主键带函数, 查询sql获取主键删除------
// FIXME 删除时反查sql为空记录, 无法获获取 id field 值
mainTableDelete(config, dml, data);
}
} else {
FieldItem pkFieldItem = schemaItem.getIdFieldItem(mapping);
if (!pkFieldItem.isMethod() && !pkFieldItem.isBinaryOp()) {
Map<String, Object> esFieldData = new LinkedHashMap<>();
Object pkVal = esTemplate.getESDataFromDmlData(mapping, data, esFieldData);
if (logger.isTraceEnabled()) {
logger.trace("Main table delete es index, destination:{}, table: {}, index: {}, pk: {}",
config.getDestination(),
dml.getTable(),
mapping.get_index(),
pkVal);
}
esFieldData.remove(pkFieldItem.getFieldName());
esFieldData.keySet().forEach(key -> esFieldData.put(key, null));
esTemplate.delete(mapping, pkVal, esFieldData);
} else {
// ------主键带函数, 查询sql获取主键删除------
mainTableDelete(config, dml, data);
}
}
}
// 从表的操作
for (TableItem tableItem : schemaItem.getAliasTableItems().values()) {
if (tableItem.isMain()) {
continue;
}
if (!tableItem.getTableName().equals(dml.getTable())) {
continue;
}
// 关联条件出现在主表查询条件是否为简单字段
boolean allFieldsSimple = true;
for (FieldItem fieldItem : tableItem.getRelationSelectFieldItems()) {
if (fieldItem.isMethod() || fieldItem.isBinaryOp()) {
allFieldsSimple = false;
break;
}
}
// 所有查询字段均为简单字段
if (allFieldsSimple) {
// 不是子查询
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esFieldData.put(Util.cleanColumn(fieldItem.getFieldName()), null);
}
joinTableSimpleFieldOperation(config, dml, data, tableItem, esFieldData);
} else {
// ------关联子表简单字段更新------
subTableSimpleFieldOperation(config, dml, data, null, tableItem);
}
} else {
// ------关联子表复杂字段更新 执行全sql更新es------
wholeSqlOperation(config, dml, data, null, tableItem);
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}
}
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networknt/light-4j | metrics/src/main/java/io/dropwizard/metrics/WeightedSnapshot.java | WeightedSnapshot.getStdDev | @Override
public double getStdDev() {
// two-pass algorithm for variance, avoids numeric overflow
if (values.length <= 1) {
return 0;
}
final double mean = getMean();
double variance = 0;
for (int i = 0; i < values.length; i++) {
final double diff = values[i] - mean;
variance += normWeights[i] * diff*diff;
}
return Math.sqrt(variance);
} | java | @Override
public double getStdDev() {
// two-pass algorithm for variance, avoids numeric overflow
if (values.length <= 1) {
return 0;
}
final double mean = getMean();
double variance = 0;
for (int i = 0; i < values.length; i++) {
final double diff = values[i] - mean;
variance += normWeights[i] * diff*diff;
}
return Math.sqrt(variance);
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spring-projects/spring-boot | spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/bind/Bindable.java | Bindable.withAnnotations | public Bindable<T> withAnnotations(Annotation... annotations) {
return new Bindable<>(this.type, this.boxedType, this.value,
(annotations != null) ? annotations : NO_ANNOTATIONS);
} | java | public Bindable<T> withAnnotations(Annotation... annotations) {
return new Bindable<>(this.type, this.boxedType, this.value,
(annotations != null) ? annotations : NO_ANNOTATIONS);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java | IoUtil.copy | public static long copy(Reader reader, Writer writer, int bufferSize) throws IORuntimeException {
return copy(reader, writer, bufferSize, null);
} | java | public static long copy(Reader reader, Writer writer, int bufferSize) throws IORuntimeException {
return copy(reader, writer, bufferSize, null);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/convert/ConverterRegistry.java | ConverterRegistry.putCustom | public ConverterRegistry putCustom(Type type, Class<? extends Converter<?>> converterClass) {
return putCustom(type, ReflectUtil.newInstance(converterClass));
} | java | public ConverterRegistry putCustom(Type type, Class<? extends Converter<?>> converterClass) {
return putCustom(type, ReflectUtil.newInstance(converterClass));
} | [
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/date/format/FastDatePrinter.java | FastDatePrinter.appendFullDigits | private static void appendFullDigits(final Appendable buffer, int value, int minFieldWidth) throws IOException {
// specialized paths for 1 to 4 digits -> avoid the memory allocation from the temporary work array
// see LANG-1248
if (value < 10000) {
// less memory allocation path works for four digits or less
int nDigits = 4;
if (value < 1000) {
--nDigits;
if (value < 100) {
--nDigits;
if (value < 10) {
--nDigits;
}
}
}
// left zero pad
for (int i = minFieldWidth - nDigits; i > 0; --i) {
buffer.append('0');
}
switch (nDigits) {
case 4:
buffer.append((char) (value / 1000 + '0'));
value %= 1000;
case 3:
if (value >= 100) {
buffer.append((char) (value / 100 + '0'));
value %= 100;
} else {
buffer.append('0');
}
case 2:
if (value >= 10) {
buffer.append((char) (value / 10 + '0'));
value %= 10;
} else {
buffer.append('0');
}
case 1:
buffer.append((char) (value + '0'));
}
} else {
// more memory allocation path works for any digits
// build up decimal representation in reverse
final char[] work = new char[MAX_DIGITS];
int digit = 0;
while (value != 0) {
work[digit++] = (char) (value % 10 + '0');
value = value / 10;
}
// pad with zeros
while (digit < minFieldWidth) {
buffer.append('0');
--minFieldWidth;
}
// reverse
while (--digit >= 0) {
buffer.append(work[digit]);
}
}
} | java | private static void appendFullDigits(final Appendable buffer, int value, int minFieldWidth) throws IOException {
// specialized paths for 1 to 4 digits -> avoid the memory allocation from the temporary work array
// see LANG-1248
if (value < 10000) {
// less memory allocation path works for four digits or less
int nDigits = 4;
if (value < 1000) {
--nDigits;
if (value < 100) {
--nDigits;
if (value < 10) {
--nDigits;
}
}
}
// left zero pad
for (int i = minFieldWidth - nDigits; i > 0; --i) {
buffer.append('0');
}
switch (nDigits) {
case 4:
buffer.append((char) (value / 1000 + '0'));
value %= 1000;
case 3:
if (value >= 100) {
buffer.append((char) (value / 100 + '0'));
value %= 100;
} else {
buffer.append('0');
}
case 2:
if (value >= 10) {
buffer.append((char) (value / 10 + '0'));
value %= 10;
} else {
buffer.append('0');
}
case 1:
buffer.append((char) (value + '0'));
}
} else {
// more memory allocation path works for any digits
// build up decimal representation in reverse
final char[] work = new char[MAX_DIGITS];
int digit = 0;
while (value != 0) {
work[digit++] = (char) (value % 10 + '0');
value = value / 10;
}
// pad with zeros
while (digit < minFieldWidth) {
buffer.append('0');
--minFieldWidth;
}
// reverse
while (--digit >= 0) {
buffer.append(work[digit]);
}
}
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apache/flink | flink-metrics/flink-metrics-jmx/src/main/java/org/apache/flink/metrics/jmx/JMXReporter.java | JMXReporter.generateJmxTable | static Hashtable<String, String> generateJmxTable(Map<String, String> variables) {
Hashtable<String, String> ht = new Hashtable<>(variables.size());
for (Map.Entry<String, String> variable : variables.entrySet()) {
ht.put(replaceInvalidChars(variable.getKey()), replaceInvalidChars(variable.getValue()));
}
return ht;
} | java | static Hashtable<String, String> generateJmxTable(Map<String, String> variables) {
Hashtable<String, String> ht = new Hashtable<>(variables.size());
for (Map.Entry<String, String> variable : variables.entrySet()) {
ht.put(replaceInvalidChars(variable.getKey()), replaceInvalidChars(variable.getValue()));
}
return ht;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/ReflectUtil.java | ReflectUtil.getMethodNames | public static Set<String> getMethodNames(Class<?> clazz) throws SecurityException {
final HashSet<String> methodSet = new HashSet<String>();
final Method[] methods = getMethods(clazz);
for (Method method : methods) {
methodSet.add(method.getName());
}
return methodSet;
} | java | public static Set<String> getMethodNames(Class<?> clazz) throws SecurityException {
final HashSet<String> methodSet = new HashSet<String>();
final Method[] methods = getMethods(clazz);
for (Method method : methods) {
methodSet.add(method.getName());
}
return methodSet;
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alibaba/canal | dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java | LogBuffer.getBeUint32 | public final long getBeUint32(final int pos) {
final int position = origin + pos;
if (pos + 3 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 3)));
byte[] buf = buffer;
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} | java | public final long getBeUint32(final int pos) {
final int position = origin + pos;
if (pos + 3 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 3)));
byte[] buf = buffer;
return ((long) (0xff & buf[position + 3])) | ((long) (0xff & buf[position + 2]) << 8)
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looly/hutool | hutool-cron/src/main/java/cn/hutool/cron/Scheduler.java | Scheduler.start | public Scheduler start() {
synchronized (lock) {
if (this.started) {
throw new CronException("Schedule is started!");
}
// 无界线程池，确保每一个需要执行的线程都可以及时运行，同时复用已有现成避免线程重复创建
this.threadExecutor = ExecutorBuilder.create().useSynchronousQueue().setThreadFactory(//
ThreadFactoryBuilder.create().setNamePrefix("hutool-cron-").setDaemon(this.daemon).build()//
).build();
this.taskLauncherManager = new TaskLauncherManager(this);
this.taskExecutorManager = new TaskExecutorManager(this);
// Start CronTimer
timer = new CronTimer(this);
timer.setDaemon(this.daemon);
timer.start();
this.started = true;
}
return this;
} | java | public Scheduler start() {
synchronized (lock) {
if (this.started) {
throw new CronException("Schedule is started!");
}
// 无界线程池，确保每一个需要执行的线程都可以及时运行，同时复用已有现成避免线程重复创建
this.threadExecutor = ExecutorBuilder.create().useSynchronousQueue().setThreadFactory(//
ThreadFactoryBuilder.create().setNamePrefix("hutool-cron-").setDaemon(this.daemon).build()//
).build();
this.taskLauncherManager = new TaskLauncherManager(this);
this.taskExecutorManager = new TaskExecutorManager(this);
// Start CronTimer
timer = new CronTimer(this);
timer.setDaemon(this.daemon);
timer.start();
this.started = true;
}
return this;
} | [
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/WindowedStream.java | WindowedStream.fold | @Deprecated
@Internal
public <R, ACC> SingleOutputStreamOperator<R> fold(
ACC initialValue,
FoldFunction<T, ACC> foldFunction,
ProcessWindowFunction<ACC, R, K, W> windowFunction,
TypeInformation<ACC> foldResultType,
TypeInformation<R> windowResultType) {
if (foldFunction instanceof RichFunction) {
throw new UnsupportedOperationException("FoldFunction can not be a RichFunction.");
}
if (windowAssigner instanceof MergingWindowAssigner) {
throw new UnsupportedOperationException("Fold cannot be used with a merging WindowAssigner.");
}
//clean the closures
windowFunction = input.getExecutionEnvironment().clean(windowFunction);
foldFunction = input.getExecutionEnvironment().clean(foldFunction);
final String opName = generateOperatorName(windowAssigner, trigger, evictor, foldFunction, windowFunction);
KeySelector<T, K> keySel = input.getKeySelector();
OneInputStreamOperator<T, R> operator;
if (evictor != null) {
@SuppressWarnings({"unchecked", "rawtypes"})
TypeSerializer<StreamRecord<T>> streamRecordSerializer =
(TypeSerializer<StreamRecord<T>>) new StreamElementSerializer(input.getType().createSerializer(getExecutionEnvironment().getConfig()));
ListStateDescriptor<StreamRecord<T>> stateDesc =
new ListStateDescriptor<>("window-contents", streamRecordSerializer);
operator =
new EvictingWindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalIterableProcessWindowFunction<>(new FoldApplyProcessWindowFunction<>(initialValue, foldFunction, windowFunction, foldResultType)),
trigger,
evictor,
allowedLateness,
lateDataOutputTag);
} else {
FoldingStateDescriptor<T, ACC> stateDesc = new FoldingStateDescriptor<>("window-contents",
initialValue,
foldFunction,
foldResultType.createSerializer(getExecutionEnvironment().getConfig()));
operator =
new WindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalSingleValueProcessWindowFunction<>(windowFunction),
trigger,
allowedLateness,
lateDataOutputTag);
}
return input.transform(opName, windowResultType, operator);
} | java | @Deprecated
@Internal
public <R, ACC> SingleOutputStreamOperator<R> fold(
ACC initialValue,
FoldFunction<T, ACC> foldFunction,
ProcessWindowFunction<ACC, R, K, W> windowFunction,
TypeInformation<ACC> foldResultType,
TypeInformation<R> windowResultType) {
if (foldFunction instanceof RichFunction) {
throw new UnsupportedOperationException("FoldFunction can not be a RichFunction.");
}
if (windowAssigner instanceof MergingWindowAssigner) {
throw new UnsupportedOperationException("Fold cannot be used with a merging WindowAssigner.");
}
//clean the closures
windowFunction = input.getExecutionEnvironment().clean(windowFunction);
foldFunction = input.getExecutionEnvironment().clean(foldFunction);
final String opName = generateOperatorName(windowAssigner, trigger, evictor, foldFunction, windowFunction);
KeySelector<T, K> keySel = input.getKeySelector();
OneInputStreamOperator<T, R> operator;
if (evictor != null) {
@SuppressWarnings({"unchecked", "rawtypes"})
TypeSerializer<StreamRecord<T>> streamRecordSerializer =
(TypeSerializer<StreamRecord<T>>) new StreamElementSerializer(input.getType().createSerializer(getExecutionEnvironment().getConfig()));
ListStateDescriptor<StreamRecord<T>> stateDesc =
new ListStateDescriptor<>("window-contents", streamRecordSerializer);
operator =
new EvictingWindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalIterableProcessWindowFunction<>(new FoldApplyProcessWindowFunction<>(initialValue, foldFunction, windowFunction, foldResultType)),
trigger,
evictor,
allowedLateness,
lateDataOutputTag);
} else {
FoldingStateDescriptor<T, ACC> stateDesc = new FoldingStateDescriptor<>("window-contents",
initialValue,
foldFunction,
foldResultType.createSerializer(getExecutionEnvironment().getConfig()));
operator =
new WindowOperator<>(windowAssigner,
windowAssigner.getWindowSerializer(getExecutionEnvironment().getConfig()),
keySel,
input.getKeyType().createSerializer(getExecutionEnvironment().getConfig()),
stateDesc,
new InternalSingleValueProcessWindowFunction<>(windowFunction),
trigger,
allowedLateness,
lateDataOutputTag);
}
return input.transform(opName, windowResultType, operator);
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@param windowFunction The process window function.
@param windowResultType The process window function result type.
@return The data stream that is the result of applying the fold function to the window.
@deprecated use {@link #aggregate(AggregateFunction, WindowFunction, TypeInformation, TypeInformation)} instead | [
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netty/netty | buffer/src/main/java/io/netty/buffer/CompositeByteBuf.java | CompositeByteBuf.consolidate | public CompositeByteBuf consolidate() {
ensureAccessible();
final int numComponents = componentCount;
if (numComponents <= 1) {
return this;
}
final int capacity = components[numComponents - 1].endOffset;
final ByteBuf consolidated = allocBuffer(capacity);
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lastAccessed = null;
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removeCompRange(1, numComponents);
return this;
} | java | public CompositeByteBuf consolidate() {
ensureAccessible();
final int numComponents = componentCount;
if (numComponents <= 1) {
return this;
}
final int capacity = components[numComponents - 1].endOffset;
final ByteBuf consolidated = allocBuffer(capacity);
for (int i = 0; i < numComponents; i ++) {
components[i].transferTo(consolidated);
}
lastAccessed = null;
components[0] = new Component(consolidated, 0, 0, capacity, consolidated);
removeCompRange(1, numComponents);
return this;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/ObjectId.java | ObjectId.nextBytes | public static byte[] nextBytes() {
final ByteBuffer bb = ByteBuffer.wrap(new byte[12]);
bb.putInt((int) DateUtil.currentSeconds());// 4位
bb.putInt(machine);// 4位
bb.putInt(nextInc.getAndIncrement());// 4位
return bb.array();
} | java | public static byte[] nextBytes() {
final ByteBuffer bb = ByteBuffer.wrap(new byte[12]);
bb.putInt((int) DateUtil.currentSeconds());// 4位
bb.putInt(machine);// 4位
bb.putInt(nextInc.getAndIncrement());// 4位
return bb.array();
} | [
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@return objectId
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apache/incubator-shardingsphere | sharding-proxy/sharding-proxy-transport/sharding-proxy-transport-mysql/src/main/java/org/apache/shardingsphere/shardingproxy/transport/mysql/packet/handshake/MySQLAuthenticationHandler.java | MySQLAuthenticationHandler.login | public boolean login(final String username, final byte[] authResponse) {
Optional<ProxyUser> user = getUser(username);
return user.isPresent() && (Strings.isNullOrEmpty(user.get().getPassword()) || Arrays.equals(getAuthCipherBytes(user.get().getPassword()), authResponse));
} | java | public boolean login(final String username, final byte[] authResponse) {
Optional<ProxyUser> user = getUser(username);
return user.isPresent() && (Strings.isNullOrEmpty(user.get().getPassword()) || Arrays.equals(getAuthCipherBytes(user.get().getPassword()), authResponse));
} | [
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@param username connection username
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/JobLeaderIdService.java | JobLeaderIdService.start | public void start(JobLeaderIdActions initialJobLeaderIdActions) throws Exception {
if (isStarted()) {
clear();
}
this.jobLeaderIdActions = Preconditions.checkNotNull(initialJobLeaderIdActions);
} | java | public void start(JobLeaderIdActions initialJobLeaderIdActions) throws Exception {
if (isStarted()) {
clear();
}
this.jobLeaderIdActions = Preconditions.checkNotNull(initialJobLeaderIdActions);
} | [
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/dependency/nnparser/NeuralNetworkParser.java | NeuralNetworkParser.get_cluster_features | void get_cluster_features(final Context ctx,
final List<Integer> cluster4,
final List<Integer> cluster6,
final List<Integer> cluster,
List<Integer> features)
{
if (!use_cluster)
{
return;
}
PUSH(features, CLUSTER(cluster, ctx.S0));
PUSH(features, CLUSTER4(cluster4, ctx.S0));
PUSH(features, CLUSTER6(cluster6, ctx.S0));
PUSH(features, CLUSTER(cluster, ctx.S1));
PUSH(features, CLUSTER(cluster, ctx.S2));
PUSH(features, CLUSTER(cluster, ctx.N0));
PUSH(features, CLUSTER4(cluster4, ctx.N0));
PUSH(features, CLUSTER6(cluster6, ctx.N0));
PUSH(features, CLUSTER(cluster, ctx.N1));
PUSH(features, CLUSTER(cluster, ctx.N2));
PUSH(features, CLUSTER(cluster, ctx.S0L));
PUSH(features, CLUSTER(cluster, ctx.S0R));
PUSH(features, CLUSTER(cluster, ctx.S0L2));
PUSH(features, CLUSTER(cluster, ctx.S0R2));
PUSH(features, CLUSTER(cluster, ctx.S0LL));
PUSH(features, CLUSTER(cluster, ctx.S0RR));
PUSH(features, CLUSTER(cluster, ctx.S1L));
PUSH(features, CLUSTER(cluster, ctx.S1R));
PUSH(features, CLUSTER(cluster, ctx.S1L2));
PUSH(features, CLUSTER(cluster, ctx.S1R2));
PUSH(features, CLUSTER(cluster, ctx.S1LL));
PUSH(features, CLUSTER(cluster, ctx.S1RR));
} | java | void get_cluster_features(final Context ctx,
final List<Integer> cluster4,
final List<Integer> cluster6,
final List<Integer> cluster,
List<Integer> features)
{
if (!use_cluster)
{
return;
}
PUSH(features, CLUSTER(cluster, ctx.S0));
PUSH(features, CLUSTER4(cluster4, ctx.S0));
PUSH(features, CLUSTER6(cluster6, ctx.S0));
PUSH(features, CLUSTER(cluster, ctx.S1));
PUSH(features, CLUSTER(cluster, ctx.S2));
PUSH(features, CLUSTER(cluster, ctx.N0));
PUSH(features, CLUSTER4(cluster4, ctx.N0));
PUSH(features, CLUSTER6(cluster6, ctx.N0));
PUSH(features, CLUSTER(cluster, ctx.N1));
PUSH(features, CLUSTER(cluster, ctx.N2));
PUSH(features, CLUSTER(cluster, ctx.S0L));
PUSH(features, CLUSTER(cluster, ctx.S0R));
PUSH(features, CLUSTER(cluster, ctx.S0L2));
PUSH(features, CLUSTER(cluster, ctx.S0R2));
PUSH(features, CLUSTER(cluster, ctx.S0LL));
PUSH(features, CLUSTER(cluster, ctx.S0RR));
PUSH(features, CLUSTER(cluster, ctx.S1L));
PUSH(features, CLUSTER(cluster, ctx.S1R));
PUSH(features, CLUSTER(cluster, ctx.S1L2));
PUSH(features, CLUSTER(cluster, ctx.S1R2));
PUSH(features, CLUSTER(cluster, ctx.S1LL));
PUSH(features, CLUSTER(cluster, ctx.S1RR));
} | [
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@param ctx 上下文
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/lang/Assert.java | Assert.isInstanceOf | public static <T> T isInstanceOf(Class<?> type, T obj) {
return isInstanceOf(type, obj, "Object [{}] is not instanceof [{}]", obj, type);
} | java | public static <T> T isInstanceOf(Class<?> type, T obj) {
return isInstanceOf(type, obj, "Object [{}] is not instanceof [{}]", obj, type);
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/operators/chaining/ChainedMapDriver.java | ChainedMapDriver.collect | @Override
public void collect(IT record) {
try {
this.numRecordsIn.inc();
this.outputCollector.collect(this.mapper.map(record));
} catch (Exception ex) {
throw new ExceptionInChainedStubException(this.taskName, ex);
}
} | java | @Override
public void collect(IT record) {
try {
this.numRecordsIn.inc();
this.outputCollector.collect(this.mapper.map(record));
} catch (Exception ex) {
throw new ExceptionInChainedStubException(this.taskName, ex);
}
} | [
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsHistory.java | CheckpointStatsHistory.addInProgressCheckpoint | void addInProgressCheckpoint(PendingCheckpointStats pending) {
if (readOnly) {
throw new UnsupportedOperationException("Can't create a snapshot of a read-only history.");
}
if (maxSize == 0) {
return;
}
checkNotNull(pending, "Pending checkpoint");
// Grow the array if required. This happens only for the first entries
// and makes the iterator logic easier, because we don't have any
// null elements with the growing array.
if (checkpointsArray.length < maxSize) {
checkpointsArray = Arrays.copyOf(checkpointsArray, checkpointsArray.length + 1);
}
// Wrap around if we are at the end. The next pos is the least recently
// added checkpoint.
if (nextPos == checkpointsArray.length) {
nextPos = 0;
}
checkpointsArray[nextPos++] = pending;
} | java | void addInProgressCheckpoint(PendingCheckpointStats pending) {
if (readOnly) {
throw new UnsupportedOperationException("Can't create a snapshot of a read-only history.");
}
if (maxSize == 0) {
return;
}
checkNotNull(pending, "Pending checkpoint");
// Grow the array if required. This happens only for the first entries
// and makes the iterator logic easier, because we don't have any
// null elements with the growing array.
if (checkpointsArray.length < maxSize) {
checkpointsArray = Arrays.copyOf(checkpointsArray, checkpointsArray.length + 1);
}
// Wrap around if we are at the end. The next pos is the least recently
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if (nextPos == checkpointsArray.length) {
nextPos = 0;
}
checkpointsArray[nextPos++] = pending;
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CompletedCheckpointStatsSummary.java | CompletedCheckpointStatsSummary.updateSummary | void updateSummary(CompletedCheckpointStats completed) {
stateSize.add(completed.getStateSize());
duration.add(completed.getEndToEndDuration());
alignmentBuffered.add(completed.getAlignmentBuffered());
} | java | void updateSummary(CompletedCheckpointStats completed) {
stateSize.add(completed.getStateSize());
duration.add(completed.getEndToEndDuration());
alignmentBuffered.add(completed.getAlignmentBuffered());
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java | FileUtil.mkdir | public static File mkdir(File dir) {
if (dir == null) {
return null;
}
if (false == dir.exists()) {
dir.mkdirs();
}
return dir;
} | java | public static File mkdir(File dir) {
if (dir == null) {
return null;
}
if (false == dir.exists()) {
dir.mkdirs();
}
return dir;
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此方法不对File对象类型做判断，如果File不存在，无法判断其类型
@param dir 目录
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/URLUtil.java | URLUtil.normalize | public static String normalize(String url, boolean isEncodeBody) {
if (StrUtil.isBlank(url)) {
return url;
}
final int sepIndex = url.indexOf("://");
String pre;
String body;
if (sepIndex > 0) {
pre = StrUtil.subPre(url, sepIndex + 3);
body = StrUtil.subSuf(url, sepIndex + 3);
} else {
pre = "http://";
body = url;
}
final int paramsSepIndex = StrUtil.indexOf(body, '?');
String params = null;
if (paramsSepIndex > 0) {
params = StrUtil.subSuf(body, paramsSepIndex);
body = StrUtil.subPre(body, paramsSepIndex);
}
// 去除开头的\或者/
body = body.replaceAll("^[\\/]+", StrUtil.EMPTY);
// 替换多个\或/为单个/
body = body.replace("\\", "/").replaceAll("//+", "/");
if (isEncodeBody) {
body = encode(body);
}
return pre + body + StrUtil.nullToEmpty(params);
} | java | public static String normalize(String url, boolean isEncodeBody) {
if (StrUtil.isBlank(url)) {
return url;
}
final int sepIndex = url.indexOf("://");
String pre;
String body;
if (sepIndex > 0) {
pre = StrUtil.subPre(url, sepIndex + 3);
body = StrUtil.subSuf(url, sepIndex + 3);
} else {
pre = "http://";
body = url;
}
final int paramsSepIndex = StrUtil.indexOf(body, '?');
String params = null;
if (paramsSepIndex > 0) {
params = StrUtil.subSuf(body, paramsSepIndex);
body = StrUtil.subPre(body, paramsSepIndex);
}
// 去除开头的\或者/
body = body.replaceAll("^[\\/]+", StrUtil.EMPTY);
// 替换多个\或/为单个/
body = body.replace("\\", "/").replaceAll("//+", "/");
if (isEncodeBody) {
body = encode(body);
}
return pre + body + StrUtil.nullToEmpty(params);
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/dependency/nnparser/Matrix.java | Matrix.print | public void print(PrintWriter output, NumberFormat format, int width)
{
output.println(); // start on new line.
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
String s = format.format(A[i][j]); // format the number
int padding = Math.max(1, width - s.length()); // At _least_ 1 space
for (int k = 0; k < padding; k++)
output.print(' ');
output.print(s);
}
output.println();
}
output.println(); // end with blank line.
}
/**
* Read a matrix from a stream. The format is the same the print method,
* so printed matrices can be read back in (provided they were printed using
* US Locale). Elements are separated by
* whitespace, all the elements for each row appear on a single line,
* the last row is followed by a blank line.
*
* @param input the input stream.
*/
public static Matrix read(BufferedReader input) throws java.io.IOException
{
StreamTokenizer tokenizer = new StreamTokenizer(input);
// Although StreamTokenizer will parse numbers, it doesn't recognize
// scientific notation (E or D); however, Double.valueOf does.
// The strategy here is to disable StreamTokenizer's number parsing.
// We'll only get whitespace delimited words, EOL's and EOF's.
// These words should all be numbers, for Double.valueOf to parse.
tokenizer.resetSyntax();
tokenizer.wordChars(0, 255);
tokenizer.whitespaceChars(0, ' ');
tokenizer.eolIsSignificant(true);
java.util.Vector<Double> vD = new java.util.Vector<Double>();
// Ignore initial empty lines
while (tokenizer.nextToken() == StreamTokenizer.TT_EOL) ;
if (tokenizer.ttype == StreamTokenizer.TT_EOF)
throw new java.io.IOException("Unexpected EOF on matrix read.");
do
{
vD.addElement(Double.valueOf(tokenizer.sval)); // Read & store 1st row.
}
while (tokenizer.nextToken() == StreamTokenizer.TT_WORD);
int n = vD.size(); // Now we've got the number of columns!
double row[] = new double[n];
for (int j = 0; j < n; j++) // extract the elements of the 1st row.
row[j] = vD.elementAt(j).doubleValue();
java.util.Vector<double[]> v = new java.util.Vector<double[]>();
v.addElement(row); // Start storing rows instead of columns.
while (tokenizer.nextToken() == StreamTokenizer.TT_WORD)
{
// While non-empty lines
v.addElement(row = new double[n]);
int j = 0;
do
{
if (j >= n) throw new java.io.IOException
("Row " + v.size() + " is too long.");
row[j++] = Double.valueOf(tokenizer.sval).doubleValue();
}
while (tokenizer.nextToken() == StreamTokenizer.TT_WORD);
if (j < n) throw new java.io.IOException
("Row " + v.size() + " is too short.");
}
int m = v.size(); // Now we've got the number of rows.
double[][] A = new double[m][];
v.copyInto(A); // copy the rows out of the vector
return new Matrix(A);
}
/* ------------------------
Private Methods
* ------------------------ */
/**
* Check if size(A) == size(B)
**/
private void checkMatrixDimensions(Matrix B)
{
if (B.m != m || B.n != n)
{
throw new IllegalArgumentException("Matrix dimensions must agree.");
}
}
private static final long serialVersionUID = 1;
public static Matrix zero(int m, int n)
{
Matrix A = new Matrix(m, n);
double[][] X = A.getArray();
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
X[i][j] = 0.0;
}
}
return A;
}
public int rows()
{
return getRowDimension();
}
public int cols()
{
return getColumnDimension();
}
/**
* 取出第j列作为一个列向量
* @param j
* @return
*/
public Matrix col(int j)
{
double[][] X = new double[m][1];
for (int i = 0; i < m; i++)
{
X[i][0] = A[i][j];
}
return new Matrix(X);
}
/**
* 取出第i行作为一个行向量
* @param i
* @return
*/
public Matrix row(int i)
{
double[][] X = new double[1][n];
for (int j = 0; j < n; j++)
{
X[0][j] = A[i][j];
}
return new Matrix(X);
}
public Matrix block(int i, int j, int p, int q)
{
return getMatrix(i, i + p - 1, j, j + q - 1);
}
/**
* 返回矩阵的立方（以数组形式）
* @return
*/
public double[][] cube()
{
double[][] X = new double[m][n];
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
X[i][j] = Math.pow(A[i][j], 3.);
}
}
return X;
}
public void setZero()
{
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
A[i][j] = 0.;
}
}
}
public void save(DataOutputStream out) throws Exception
{
out.writeInt(m);
out.writeInt(n);
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
out.writeDouble(A[i][j]);
}
}
}
public boolean load(ByteArray byteArray)
{
m = byteArray.nextInt();
n = byteArray.nextInt();
A = new double[m][n];
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
A[i][j] = byteArray.nextDouble();
}
}
return true;
}
} | java | public void print(PrintWriter output, NumberFormat format, int width)
{
output.println(); // start on new line.
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
String s = format.format(A[i][j]); // format the number
int padding = Math.max(1, width - s.length()); // At _least_ 1 space
for (int k = 0; k < padding; k++)
output.print(' ');
output.print(s);
}
output.println();
}
output.println(); // end with blank line.
}
/**
* Read a matrix from a stream. The format is the same the print method,
* so printed matrices can be read back in (provided they were printed using
* US Locale). Elements are separated by
* whitespace, all the elements for each row appear on a single line,
* the last row is followed by a blank line.
*
* @param input the input stream.
*/
public static Matrix read(BufferedReader input) throws java.io.IOException
{
StreamTokenizer tokenizer = new StreamTokenizer(input);
// Although StreamTokenizer will parse numbers, it doesn't recognize
// scientific notation (E or D); however, Double.valueOf does.
// The strategy here is to disable StreamTokenizer's number parsing.
// We'll only get whitespace delimited words, EOL's and EOF's.
// These words should all be numbers, for Double.valueOf to parse.
tokenizer.resetSyntax();
tokenizer.wordChars(0, 255);
tokenizer.whitespaceChars(0, ' ');
tokenizer.eolIsSignificant(true);
java.util.Vector<Double> vD = new java.util.Vector<Double>();
// Ignore initial empty lines
while (tokenizer.nextToken() == StreamTokenizer.TT_EOL) ;
if (tokenizer.ttype == StreamTokenizer.TT_EOF)
throw new java.io.IOException("Unexpected EOF on matrix read.");
do
{
vD.addElement(Double.valueOf(tokenizer.sval)); // Read & store 1st row.
}
while (tokenizer.nextToken() == StreamTokenizer.TT_WORD);
int n = vD.size(); // Now we've got the number of columns!
double row[] = new double[n];
for (int j = 0; j < n; j++) // extract the elements of the 1st row.
row[j] = vD.elementAt(j).doubleValue();
java.util.Vector<double[]> v = new java.util.Vector<double[]>();
v.addElement(row); // Start storing rows instead of columns.
while (tokenizer.nextToken() == StreamTokenizer.TT_WORD)
{
// While non-empty lines
v.addElement(row = new double[n]);
int j = 0;
do
{
if (j >= n) throw new java.io.IOException
("Row " + v.size() + " is too long.");
row[j++] = Double.valueOf(tokenizer.sval).doubleValue();
}
while (tokenizer.nextToken() == StreamTokenizer.TT_WORD);
if (j < n) throw new java.io.IOException
("Row " + v.size() + " is too short.");
}
int m = v.size(); // Now we've got the number of rows.
double[][] A = new double[m][];
v.copyInto(A); // copy the rows out of the vector
return new Matrix(A);
}
/* ------------------------
Private Methods
* ------------------------ */
/**
* Check if size(A) == size(B)
**/
private void checkMatrixDimensions(Matrix B)
{
if (B.m != m || B.n != n)
{
throw new IllegalArgumentException("Matrix dimensions must agree.");
}
}
private static final long serialVersionUID = 1;
public static Matrix zero(int m, int n)
{
Matrix A = new Matrix(m, n);
double[][] X = A.getArray();
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
X[i][j] = 0.0;
}
}
return A;
}
public int rows()
{
return getRowDimension();
}
public int cols()
{
return getColumnDimension();
}
/**
* 取出第j列作为一个列向量
* @param j
* @return
*/
public Matrix col(int j)
{
double[][] X = new double[m][1];
for (int i = 0; i < m; i++)
{
X[i][0] = A[i][j];
}
return new Matrix(X);
}
/**
* 取出第i行作为一个行向量
* @param i
* @return
*/
public Matrix row(int i)
{
double[][] X = new double[1][n];
for (int j = 0; j < n; j++)
{
X[0][j] = A[i][j];
}
return new Matrix(X);
}
public Matrix block(int i, int j, int p, int q)
{
return getMatrix(i, i + p - 1, j, j + q - 1);
}
/**
* 返回矩阵的立方（以数组形式）
* @return
*/
public double[][] cube()
{
double[][] X = new double[m][n];
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
X[i][j] = Math.pow(A[i][j], 3.);
}
}
return X;
}
public void setZero()
{
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
A[i][j] = 0.;
}
}
}
public void save(DataOutputStream out) throws Exception
{
out.writeInt(m);
out.writeInt(n);
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
out.writeDouble(A[i][j]);
}
}
}
public boolean load(ByteArray byteArray)
{
m = byteArray.nextInt();
n = byteArray.nextInt();
A = new double[m][n];
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
A[i][j] = byteArray.nextDouble();
}
}
return true;
}
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Note that is the matrix is to be read back in, you probably will want
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/resource/MultiFileResource.java | MultiFileResource.add | public MultiFileResource add(File... files) {
for (File file : files) {
this.add(new FileResource(file));
}
return this;
} | java | public MultiFileResource add(File... files) {
for (File file : files) {
this.add(new FileResource(file));
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return this;
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@return this | [
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] | bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a | https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/resource/MultiFileResource.java#L41-L46 | train | Adds multiple file resources to this multi file resource. | [
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apache/flink | flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java | Configuration.getSocketAddr | public InetSocketAddress getSocketAddr(
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} | java | public InetSocketAddress getSocketAddr(
String name, String defaultAddress, int defaultPort) {
final String address = getTrimmed(name, defaultAddress);
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netty/netty | buffer/src/main/java/io/netty/buffer/ByteBufUtil.java | ByteBufUtil.reserveAndWriteUtf8 | public static int reserveAndWriteUtf8(ByteBuf buf, CharSequence seq, int reserveBytes) {
for (;;) {
if (buf instanceof WrappedCompositeByteBuf) {
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buf = buf.unwrap();
} else {
byte[] bytes = seq.toString().getBytes(CharsetUtil.UTF_8);
buf.writeBytes(bytes);
return bytes.length;
}
}
} | java | public static int reserveAndWriteUtf8(ByteBuf buf, CharSequence seq, int reserveBytes) {
for (;;) {
if (buf instanceof WrappedCompositeByteBuf) {
// WrappedCompositeByteBuf is a sub-class of AbstractByteBuf so it needs special handling.
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byteBuf.writerIndex += written;
return written;
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// Unwrap as the wrapped buffer may be an AbstractByteBuf and so we can use fast-path.
buf = buf.unwrap();
} else {
byte[] bytes = seq.toString().getBytes(CharsetUtil.UTF_8);
buf.writeBytes(bytes);
return bytes.length;
}
}
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/EnumUtil.java | EnumUtil.getEnumMap | public static <E extends Enum<E>> LinkedHashMap<String, E> getEnumMap(final Class<E> enumClass) {
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} | java | public static <E extends Enum<E>> LinkedHashMap<String, E> getEnumMap(final Class<E> enumClass) {
final LinkedHashMap<String, E> map = new LinkedHashMap<String, E>();
for (final E e : enumClass.getEnumConstants()) {
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alibaba/canal | driver/src/main/java/com/alibaba/otter/canal/parse/driver/mysql/packets/server/OKPacket.java | OKPacket.fromBytes | public void fromBytes(byte[] data) throws IOException {
int index = 0;
// 1. read field count
this.fieldCount = data[0];
index++;
// 2. read affected rows
this.affectedRows = ByteHelper.readBinaryCodedLengthBytes(data, index);
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// 3. read insert id
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index += 2;
// 5. read warning count
this.warningCount = ByteHelper.readUnsignedShortLittleEndian(data, index);
index += 2;
// 6. read message.
this.message = new String(ByteHelper.readFixedLengthBytes(data, index, data.length - index));
// end read
} | java | public void fromBytes(byte[] data) throws IOException {
int index = 0;
// 1. read field count
this.fieldCount = data[0];
index++;
// 2. read affected rows
this.affectedRows = ByteHelper.readBinaryCodedLengthBytes(data, index);
index += this.affectedRows.length;
// 3. read insert id
this.insertId = ByteHelper.readBinaryCodedLengthBytes(data, index);
index += this.insertId.length;
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this.serverStatus = ByteHelper.readUnsignedShortLittleEndian(data, index);
index += 2;
// 5. read warning count
this.warningCount = ByteHelper.readUnsignedShortLittleEndian(data, index);
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// 6. read message.
this.message = new String(ByteHelper.readFixedLengthBytes(data, index, data.length - index));
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VERSION 4.1
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphGenerator.java | StreamGraphGenerator.transform | private Collection<Integer> transform(StreamTransformation<?> transform) {
if (alreadyTransformed.containsKey(transform)) {
return alreadyTransformed.get(transform);
}
LOG.debug("Transforming " + transform);
if (transform.getMaxParallelism() <= 0) {
// if the max parallelism hasn't been set, then first use the job wide max parallelism
// from the ExecutionConfig.
int globalMaxParallelismFromConfig = env.getConfig().getMaxParallelism();
if (globalMaxParallelismFromConfig > 0) {
transform.setMaxParallelism(globalMaxParallelismFromConfig);
}
}
// call at least once to trigger exceptions about MissingTypeInfo
transform.getOutputType();
Collection<Integer> transformedIds;
if (transform instanceof OneInputTransformation<?, ?>) {
transformedIds = transformOneInputTransform((OneInputTransformation<?, ?>) transform);
} else if (transform instanceof TwoInputTransformation<?, ?, ?>) {
transformedIds = transformTwoInputTransform((TwoInputTransformation<?, ?, ?>) transform);
} else if (transform instanceof SourceTransformation<?>) {
transformedIds = transformSource((SourceTransformation<?>) transform);
} else if (transform instanceof SinkTransformation<?>) {
transformedIds = transformSink((SinkTransformation<?>) transform);
} else if (transform instanceof UnionTransformation<?>) {
transformedIds = transformUnion((UnionTransformation<?>) transform);
} else if (transform instanceof SplitTransformation<?>) {
transformedIds = transformSplit((SplitTransformation<?>) transform);
} else if (transform instanceof SelectTransformation<?>) {
transformedIds = transformSelect((SelectTransformation<?>) transform);
} else if (transform instanceof FeedbackTransformation<?>) {
transformedIds = transformFeedback((FeedbackTransformation<?>) transform);
} else if (transform instanceof CoFeedbackTransformation<?>) {
transformedIds = transformCoFeedback((CoFeedbackTransformation<?>) transform);
} else if (transform instanceof PartitionTransformation<?>) {
transformedIds = transformPartition((PartitionTransformation<?>) transform);
} else if (transform instanceof SideOutputTransformation<?>) {
transformedIds = transformSideOutput((SideOutputTransformation<?>) transform);
} else {
throw new IllegalStateException("Unknown transformation: " + transform);
}
// need this check because the iterate transformation adds itself before
// transforming the feedback edges
if (!alreadyTransformed.containsKey(transform)) {
alreadyTransformed.put(transform, transformedIds);
}
if (transform.getBufferTimeout() >= 0) {
streamGraph.setBufferTimeout(transform.getId(), transform.getBufferTimeout());
}
if (transform.getUid() != null) {
streamGraph.setTransformationUID(transform.getId(), transform.getUid());
}
if (transform.getUserProvidedNodeHash() != null) {
streamGraph.setTransformationUserHash(transform.getId(), transform.getUserProvidedNodeHash());
}
if (!streamGraph.getExecutionConfig().hasAutoGeneratedUIDsEnabled()) {
if (transform.getUserProvidedNodeHash() == null && transform.getUid() == null) {
throw new IllegalStateException("Auto generated UIDs have been disabled " +
"but no UID or hash has been assigned to operator " + transform.getName());
}
}
if (transform.getMinResources() != null && transform.getPreferredResources() != null) {
streamGraph.setResources(transform.getId(), transform.getMinResources(), transform.getPreferredResources());
}
return transformedIds;
} | java | private Collection<Integer> transform(StreamTransformation<?> transform) {
if (alreadyTransformed.containsKey(transform)) {
return alreadyTransformed.get(transform);
}
LOG.debug("Transforming " + transform);
if (transform.getMaxParallelism() <= 0) {
// if the max parallelism hasn't been set, then first use the job wide max parallelism
// from the ExecutionConfig.
int globalMaxParallelismFromConfig = env.getConfig().getMaxParallelism();
if (globalMaxParallelismFromConfig > 0) {
transform.setMaxParallelism(globalMaxParallelismFromConfig);
}
}
// call at least once to trigger exceptions about MissingTypeInfo
transform.getOutputType();
Collection<Integer> transformedIds;
if (transform instanceof OneInputTransformation<?, ?>) {
transformedIds = transformOneInputTransform((OneInputTransformation<?, ?>) transform);
} else if (transform instanceof TwoInputTransformation<?, ?, ?>) {
transformedIds = transformTwoInputTransform((TwoInputTransformation<?, ?, ?>) transform);
} else if (transform instanceof SourceTransformation<?>) {
transformedIds = transformSource((SourceTransformation<?>) transform);
} else if (transform instanceof SinkTransformation<?>) {
transformedIds = transformSink((SinkTransformation<?>) transform);
} else if (transform instanceof UnionTransformation<?>) {
transformedIds = transformUnion((UnionTransformation<?>) transform);
} else if (transform instanceof SplitTransformation<?>) {
transformedIds = transformSplit((SplitTransformation<?>) transform);
} else if (transform instanceof SelectTransformation<?>) {
transformedIds = transformSelect((SelectTransformation<?>) transform);
} else if (transform instanceof FeedbackTransformation<?>) {
transformedIds = transformFeedback((FeedbackTransformation<?>) transform);
} else if (transform instanceof CoFeedbackTransformation<?>) {
transformedIds = transformCoFeedback((CoFeedbackTransformation<?>) transform);
} else if (transform instanceof PartitionTransformation<?>) {
transformedIds = transformPartition((PartitionTransformation<?>) transform);
} else if (transform instanceof SideOutputTransformation<?>) {
transformedIds = transformSideOutput((SideOutputTransformation<?>) transform);
} else {
throw new IllegalStateException("Unknown transformation: " + transform);
}
// need this check because the iterate transformation adds itself before
// transforming the feedback edges
if (!alreadyTransformed.containsKey(transform)) {
alreadyTransformed.put(transform, transformedIds);
}
if (transform.getBufferTimeout() >= 0) {
streamGraph.setBufferTimeout(transform.getId(), transform.getBufferTimeout());
}
if (transform.getUid() != null) {
streamGraph.setTransformationUID(transform.getId(), transform.getUid());
}
if (transform.getUserProvidedNodeHash() != null) {
streamGraph.setTransformationUserHash(transform.getId(), transform.getUserProvidedNodeHash());
}
if (!streamGraph.getExecutionConfig().hasAutoGeneratedUIDsEnabled()) {
if (transform.getUserProvidedNodeHash() == null && transform.getUid() == null) {
throw new IllegalStateException("Auto generated UIDs have been disabled " +
"but no UID or hash has been assigned to operator " + transform.getName());
}
}
if (transform.getMinResources() != null && transform.getPreferredResources() != null) {
streamGraph.setResources(transform.getId(), transform.getMinResources(), transform.getPreferredResources());
}
return transformedIds;
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apache/flink | flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/DynamoDBStreamsDataFetcher.java | DynamoDBStreamsDataFetcher.createShardConsumer | @Override
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} | java | @Override
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StreamShardHandle handle,
SequenceNumber lastSeqNum,
ShardMetricsReporter shardMetricsReporter) {
return new ShardConsumer(
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java | ArrayUtil.wrap | public static Short[] wrap(short... values) {
if (null == values) {
return null;
}
final int length = values.length;
if (0 == length) {
return new Short[0];
}
final Short[] array = new Short[length];
for (int i = 0; i < length; i++) {
array[i] = Short.valueOf(values[i]);
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return array;
} | java | public static Short[] wrap(short... values) {
if (null == values) {
return null;
}
final int length = values.length;
if (0 == length) {
return new Short[0];
}
final Short[] array = new Short[length];
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return array;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/text/StrBuilder.java | StrBuilder.append | public StrBuilder append(char[] src, int srcPos, int length) {
return insert(this.position, src, srcPos, length);
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@param length 长度
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spring-projects/spring-boot | spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/web/servlet/error/AbstractErrorController.java | AbstractErrorController.resolveErrorView | protected ModelAndView resolveErrorView(HttpServletRequest request,
HttpServletResponse response, HttpStatus status, Map<String, Object> model) {
for (ErrorViewResolver resolver : this.errorViewResolvers) {
ModelAndView modelAndView = resolver.resolveErrorView(request, status, model);
if (modelAndView != null) {
return modelAndView;
}
}
return null;
} | java | protected ModelAndView resolveErrorView(HttpServletRequest request,
HttpServletResponse response, HttpStatus status, Map<String, Object> model) {
for (ErrorViewResolver resolver : this.errorViewResolvers) {
ModelAndView modelAndView = resolver.resolveErrorView(request, status, model);
if (modelAndView != null) {
return modelAndView;
}
}
return null;
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] | 0b27f7c70e164b2b1a96477f1d9c1acba56790c1 | https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/web/servlet/error/AbstractErrorController.java#L110-L119 | train | Resolves the error view. | [
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/annotation/CombinationAnnotationElement.java | CombinationAnnotationElement.init | private void init(AnnotatedElement element) {
Annotation[] declaredAnnotations = element.getDeclaredAnnotations();
this.declaredAnnotationMap = new HashMap<>();
parseDeclared(declaredAnnotations);
Annotation[] annotations = element.getAnnotations();
if(declaredAnnotations == annotations) {
this.annotationMap = this.declaredAnnotationMap;
}else {
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parse(annotations);
}
} | java | private void init(AnnotatedElement element) {
Annotation[] declaredAnnotations = element.getDeclaredAnnotations();
this.declaredAnnotationMap = new HashMap<>();
parseDeclared(declaredAnnotations);
Annotation[] annotations = element.getAnnotations();
if(declaredAnnotations == annotations) {
this.annotationMap = this.declaredAnnotationMap;
}else {
this.annotationMap = new HashMap<>();
parse(annotations);
}
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netty/netty | common/src/main/java/io/netty/util/AsciiString.java | AsciiString.toUpperCase | public AsciiString toUpperCase() {
boolean uppercased = true;
int i, j;
final int len = length() + arrayOffset();
for (i = arrayOffset(); i < len; ++i) {
byte b = value[i];
if (b >= 'a' && b <= 'z') {
uppercased = false;
break;
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for (i = 0, j = arrayOffset(); i < newValue.length; ++i, ++j) {
newValue[i] = toUpperCase(value[j]);
}
return new AsciiString(newValue, false);
} | java | public AsciiString toUpperCase() {
boolean uppercased = true;
int i, j;
final int len = length() + arrayOffset();
for (i = arrayOffset(); i < len; ++i) {
byte b = value[i];
if (b >= 'a' && b <= 'z') {
uppercased = false;
break;
}
}
// Check if this string does not contain any lowercase characters.
if (uppercased) {
return this;
}
final byte[] newValue = PlatformDependent.allocateUninitializedArray(length());
for (i = 0, j = arrayOffset(); i < newValue.length; ++i, ++j) {
newValue[i] = toUpperCase(value[j]);
}
return new AsciiString(newValue, false);
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apache/flink | flink-java/src/main/java/org/apache/flink/api/java/DataSet.java | DataSet.fullOuterJoin | public <R> JoinOperatorSetsBase<T, R> fullOuterJoin(DataSet<R> other) {
return new JoinOperatorSetsBase<>(this, other, JoinHint.OPTIMIZER_CHOOSES, JoinType.FULL_OUTER);
} | java | public <R> JoinOperatorSetsBase<T, R> fullOuterJoin(DataSet<R> other) {
return new JoinOperatorSetsBase<>(this, other, JoinHint.OPTIMIZER_CHOOSES, JoinType.FULL_OUTER);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/BufferUtil.java | BufferUtil.copy | public static ByteBuffer copy(ByteBuffer src, int srcStart, ByteBuffer dest, int destStart, int length) {
System.arraycopy(src.array(), srcStart, dest.array(), destStart, length);
return dest;
} | java | public static ByteBuffer copy(ByteBuffer src, int srcStart, ByteBuffer dest, int destStart, int length) {
System.arraycopy(src.array(), srcStart, dest.array(), destStart, length);
return dest;
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/util/EnumUtil.java | EnumUtil.getNames | public static List<String> getNames(Class<? extends Enum<?>> clazz) {
final Enum<?>[] enums = clazz.getEnumConstants();
if (null == enums) {
return null;
}
final List<String> list = new ArrayList<>(enums.length);
for (Enum<?> e : enums) {
list.add(e.name());
}
return list;
} | java | public static List<String> getNames(Class<? extends Enum<?>> clazz) {
final Enum<?>[] enums = clazz.getEnumConstants();
if (null == enums) {
return null;
}
final List<String> list = new ArrayList<>(enums.length);
for (Enum<?> e : enums) {
list.add(e.name());
}
return list;
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apache/flink | flink-optimizer/src/main/java/org/apache/flink/optimizer/dataproperties/GlobalProperties.java | GlobalProperties.isPartitionedOnFields | public boolean isPartitionedOnFields(FieldSet fields) {
if (this.partitioning.isPartitionedOnKey() && fields.isValidSubset(this.partitioningFields)) {
return true;
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if (fields.isValidSubset(set)) {
return true;
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return false;
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} | java | public boolean isPartitionedOnFields(FieldSet fields) {
if (this.partitioning.isPartitionedOnKey() && fields.isValidSubset(this.partitioningFields)) {
return true;
} else if (this.uniqueFieldCombinations != null) {
for (FieldSet set : this.uniqueFieldCombinations) {
if (fields.isValidSubset(set)) {
return true;
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return false;
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looly/hutool | hutool-extra/src/main/java/cn/hutool/extra/ftp/AbstractFtp.java | AbstractFtp.mkDirs | public void mkDirs(String dir) {
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final String now = pwd();
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//目录不存在时创建
mkdir(dirs[i]);
cd(dirs[i]);
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// 切换回工作目录
cd(now);
} | java | public void mkDirs(String dir) {
final String[] dirs = StrUtil.trim(dir).split("[\\\\/]+");
final String now = pwd();
if(dirs.length > 0 && StrUtil.isEmpty(dirs[0])) {
//首位为空，表示以/开头
this.cd(StrUtil.SLASH);
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for (int i = 0; i < dirs.length; i++) {
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//目录不存在时创建
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cd(dirs[i]);
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netty/netty | transport/src/main/java/io/netty/bootstrap/AbstractBootstrap.java | AbstractBootstrap.attr | public <T> B attr(AttributeKey<T> key, T value) {
if (key == null) {
throw new NullPointerException("key");
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if (value == null) {
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return self();
} | java | public <T> B attr(AttributeKey<T> key, T value) {
if (key == null) {
throw new NullPointerException("key");
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if (value == null) {
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attrs.remove(key);
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attrs.put(key, value);
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return self();
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netty/netty | transport/src/main/java/io/netty/channel/PendingWriteQueue.java | PendingWriteQueue.add | public void add(Object msg, ChannelPromise promise) {
assert ctx.executor().inEventLoop();
if (msg == null) {
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currentTail.next = write;
tail = write;
}
size ++;
bytes += messageSize;
tracker.incrementPendingOutboundBytes(write.size);
} | java | public void add(Object msg, ChannelPromise promise) {
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throw new NullPointerException("msg");
}
if (promise == null) {
throw new NullPointerException("promise");
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spring-projects/spring-boot | spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/properties/source/ConfigurationPropertyName.java | ConfigurationPropertyName.of | static ConfigurationPropertyName of(CharSequence name, boolean returnNullIfInvalid) {
Elements elements = elementsOf(name, returnNullIfInvalid);
return (elements != null) ? new ConfigurationPropertyName(elements) : null;
} | java | static ConfigurationPropertyName of(CharSequence name, boolean returnNullIfInvalid) {
Elements elements = elementsOf(name, returnNullIfInvalid);
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looly/hutool | hutool-core/src/main/java/cn/hutool/core/io/watch/WatchMonitor.java | WatchMonitor.create | public static WatchMonitor create(String path, WatchEvent.Kind<?>... events){
return create(path, 0, events);
} | java | public static WatchMonitor create(String path, WatchEvent.Kind<?>... events){
return create(path, 0, events);
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apache/incubator-shardingsphere | sharding-jdbc/sharding-jdbc-orchestration/src/main/java/org/apache/shardingsphere/shardingjdbc/orchestration/internal/datasource/OrchestrationShardingDataSource.java | OrchestrationShardingDataSource.renew | @Subscribe
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@SneakyThrows
public final synchronized void renew(final DataSourceChangedEvent dataSourceChangedEvent) {
dataSource.close();
dataSource = new ShardingDataSource(DataSourceConverter.getDataSourceMap(dataSourceChangedEvent.getDataSourceConfigurations()), dataSource.getShardingContext().getShardingRule(),
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/collection/trie/DoubleArrayTrie.java | DoubleArrayTrie.load | public boolean load(String path, List<V> value)
{
if (!loadBaseAndCheck(path)) return false;
v = (V[]) value.toArray();
return true;
} | java | public boolean load(String path, List<V> value)
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return true;
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looly/hutool | hutool-poi/src/main/java/cn/hutool/poi/excel/StyleSet.java | StyleSet.setBorder | public StyleSet setBorder(BorderStyle borderSize, IndexedColors colorIndex) {
StyleUtil.setBorder(this.headCellStyle, borderSize, colorIndex);
StyleUtil.setBorder(this.cellStyle, borderSize, colorIndex);
StyleUtil.setBorder(this.cellStyleForNumber, borderSize, colorIndex);
StyleUtil.setBorder(this.cellStyleForDate, borderSize, colorIndex);
return this;
} | java | public StyleSet setBorder(BorderStyle borderSize, IndexedColors colorIndex) {
StyleUtil.setBorder(this.headCellStyle, borderSize, colorIndex);
StyleUtil.setBorder(this.cellStyle, borderSize, colorIndex);
StyleUtil.setBorder(this.cellStyleForNumber, borderSize, colorIndex);
StyleUtil.setBorder(this.cellStyleForDate, borderSize, colorIndex);
return this;
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apache/flink | flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/hadoopcompatibility/HadoopInputs.java | HadoopInputs.readHadoopFile | public static <K, V> HadoopInputFormat<K, V> readHadoopFile(org.apache.hadoop.mapred.FileInputFormat<K, V> mapredInputFormat, Class<K> key, Class<V> value, String inputPath, JobConf job) {
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} | java | public static <K, V> HadoopInputFormat<K, V> readHadoopFile(org.apache.hadoop.mapred.FileInputFormat<K, V> mapredInputFormat, Class<K> key, Class<V> value, String inputPath, JobConf job) {
// set input path in JobConf
org.apache.hadoop.mapred.FileInputFormat.addInputPath(job, new org.apache.hadoop.fs.Path(inputPath));
// return wrapping InputFormat
return createHadoopInput(mapredInputFormat, key, value, job);
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apache/incubator-shardingsphere | sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/parser/clause/InsertIntoClauseParser.java | InsertIntoClauseParser.parse | public void parse(final InsertStatement insertStatement) {
lexerEngine.unsupportedIfEqual(getUnsupportedKeywordsBeforeInto());
lexerEngine.skipUntil(DefaultKeyword.INTO);
lexerEngine.nextToken();
tableReferencesClauseParser.parse(insertStatement, true);
skipBetweenTableAndValues(insertStatement);
} | java | public void parse(final InsertStatement insertStatement) {
lexerEngine.unsupportedIfEqual(getUnsupportedKeywordsBeforeInto());
lexerEngine.skipUntil(DefaultKeyword.INTO);
lexerEngine.nextToken();
tableReferencesClauseParser.parse(insertStatement, true);
skipBetweenTableAndValues(insertStatement);
} | [
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netty/netty | handler/src/main/java/io/netty/handler/ssl/OpenSslSessionStats.java | OpenSslSessionStats.ticketKeyResume | public long ticketKeyResume() {
Lock readerLock = context.ctxLock.readLock();
readerLock.lock();
try {
return SSLContext.sessionTicketKeyResume(context.ctx);
} finally {
readerLock.unlock();
}
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Lock readerLock = context.ctxLock.readLock();
readerLock.lock();
try {
return SSLContext.sessionTicketKeyResume(context.ctx);
} finally {
readerLock.unlock();
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobManagerSharedServices.java | JobManagerSharedServices.fromConfiguration | public static JobManagerSharedServices fromConfiguration(
Configuration config,
BlobServer blobServer) throws Exception {
checkNotNull(config);
checkNotNull(blobServer);
final String classLoaderResolveOrder =
config.getString(CoreOptions.CLASSLOADER_RESOLVE_ORDER);
final String[] alwaysParentFirstLoaderPatterns = CoreOptions.getParentFirstLoaderPatterns(config);
final BlobLibraryCacheManager libraryCacheManager =
new BlobLibraryCacheManager(
blobServer,
FlinkUserCodeClassLoaders.ResolveOrder.fromString(classLoaderResolveOrder),
alwaysParentFirstLoaderPatterns);
final FiniteDuration timeout;
try {
timeout = AkkaUtils.getTimeout(config);
} catch (NumberFormatException e) {
throw new IllegalConfigurationException(AkkaUtils.formatDurationParsingErrorMessage());
}
final ScheduledExecutorService futureExecutor = Executors.newScheduledThreadPool(
Hardware.getNumberCPUCores(),
new ExecutorThreadFactory("jobmanager-future"));
final StackTraceSampleCoordinator stackTraceSampleCoordinator =
new StackTraceSampleCoordinator(futureExecutor, timeout.toMillis());
final int cleanUpInterval = config.getInteger(WebOptions.BACKPRESSURE_CLEANUP_INTERVAL);
final BackPressureStatsTrackerImpl backPressureStatsTracker = new BackPressureStatsTrackerImpl(
stackTraceSampleCoordinator,
cleanUpInterval,
config.getInteger(WebOptions.BACKPRESSURE_NUM_SAMPLES),
config.getInteger(WebOptions.BACKPRESSURE_REFRESH_INTERVAL),
Time.milliseconds(config.getInteger(WebOptions.BACKPRESSURE_DELAY)));
futureExecutor.scheduleWithFixedDelay(
backPressureStatsTracker::cleanUpOperatorStatsCache,
cleanUpInterval,
cleanUpInterval,
TimeUnit.MILLISECONDS);
return new JobManagerSharedServices(
futureExecutor,
libraryCacheManager,
RestartStrategyFactory.createRestartStrategyFactory(config),
stackTraceSampleCoordinator,
backPressureStatsTracker,
blobServer);
} | java | public static JobManagerSharedServices fromConfiguration(
Configuration config,
BlobServer blobServer) throws Exception {
checkNotNull(config);
checkNotNull(blobServer);
final String classLoaderResolveOrder =
config.getString(CoreOptions.CLASSLOADER_RESOLVE_ORDER);
final String[] alwaysParentFirstLoaderPatterns = CoreOptions.getParentFirstLoaderPatterns(config);
final BlobLibraryCacheManager libraryCacheManager =
new BlobLibraryCacheManager(
blobServer,
FlinkUserCodeClassLoaders.ResolveOrder.fromString(classLoaderResolveOrder),
alwaysParentFirstLoaderPatterns);
final FiniteDuration timeout;
try {
timeout = AkkaUtils.getTimeout(config);
} catch (NumberFormatException e) {
throw new IllegalConfigurationException(AkkaUtils.formatDurationParsingErrorMessage());
}
final ScheduledExecutorService futureExecutor = Executors.newScheduledThreadPool(
Hardware.getNumberCPUCores(),
new ExecutorThreadFactory("jobmanager-future"));
final StackTraceSampleCoordinator stackTraceSampleCoordinator =
new StackTraceSampleCoordinator(futureExecutor, timeout.toMillis());
final int cleanUpInterval = config.getInteger(WebOptions.BACKPRESSURE_CLEANUP_INTERVAL);
final BackPressureStatsTrackerImpl backPressureStatsTracker = new BackPressureStatsTrackerImpl(
stackTraceSampleCoordinator,
cleanUpInterval,
config.getInteger(WebOptions.BACKPRESSURE_NUM_SAMPLES),
config.getInteger(WebOptions.BACKPRESSURE_REFRESH_INTERVAL),
Time.milliseconds(config.getInteger(WebOptions.BACKPRESSURE_DELAY)));
futureExecutor.scheduleWithFixedDelay(
backPressureStatsTracker::cleanUpOperatorStatsCache,
cleanUpInterval,
cleanUpInterval,
TimeUnit.MILLISECONDS);
return new JobManagerSharedServices(
futureExecutor,
libraryCacheManager,
RestartStrategyFactory.createRestartStrategyFactory(config),
stackTraceSampleCoordinator,
backPressureStatsTracker,
blobServer);
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apache/flink | flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/SingleOutputStreamOperator.java | SingleOutputStreamOperator.setParallelism | public SingleOutputStreamOperator<T> setParallelism(int parallelism) {
Preconditions.checkArgument(canBeParallel() || parallelism == 1,
"The parallelism of non parallel operator must be 1.");
transformation.setParallelism(parallelism);
return this;
} | java | public SingleOutputStreamOperator<T> setParallelism(int parallelism) {
Preconditions.checkArgument(canBeParallel() || parallelism == 1,
"The parallelism of non parallel operator must be 1.");
transformation.setParallelism(parallelism);
return this;
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apache/flink | flink-clients/src/main/java/org/apache/flink/client/LocalExecutor.java | LocalExecutor.executePlan | @Override
public JobExecutionResult executePlan(Plan plan) throws Exception {
if (plan == null) {
throw new IllegalArgumentException("The plan may not be null.");
}
synchronized (this.lock) {
// check if we start a session dedicated for this execution
final boolean shutDownAtEnd;
if (jobExecutorService == null) {
shutDownAtEnd = true;
// configure the number of local slots equal to the parallelism of the local plan
if (this.taskManagerNumSlots == DEFAULT_TASK_MANAGER_NUM_SLOTS) {
int maxParallelism = plan.getMaximumParallelism();
if (maxParallelism > 0) {
this.taskManagerNumSlots = maxParallelism;
}
}
// start the cluster for us
start();
}
else {
// we use the existing session
shutDownAtEnd = false;
}
try {
// TODO: Set job's default parallelism to max number of slots
final int slotsPerTaskManager = jobExecutorServiceConfiguration.getInteger(TaskManagerOptions.NUM_TASK_SLOTS, taskManagerNumSlots);
final int numTaskManagers = jobExecutorServiceConfiguration.getInteger(ConfigConstants.LOCAL_NUMBER_TASK_MANAGER, 1);
plan.setDefaultParallelism(slotsPerTaskManager * numTaskManagers);
Optimizer pc = new Optimizer(new DataStatistics(), jobExecutorServiceConfiguration);
OptimizedPlan op = pc.compile(plan);
JobGraphGenerator jgg = new JobGraphGenerator(jobExecutorServiceConfiguration);
JobGraph jobGraph = jgg.compileJobGraph(op, plan.getJobId());
return jobExecutorService.executeJobBlocking(jobGraph);
}
finally {
if (shutDownAtEnd) {
stop();
}
}
}
} | java | @Override
public JobExecutionResult executePlan(Plan plan) throws Exception {
if (plan == null) {
throw new IllegalArgumentException("The plan may not be null.");
}
synchronized (this.lock) {
// check if we start a session dedicated for this execution
final boolean shutDownAtEnd;
if (jobExecutorService == null) {
shutDownAtEnd = true;
// configure the number of local slots equal to the parallelism of the local plan
if (this.taskManagerNumSlots == DEFAULT_TASK_MANAGER_NUM_SLOTS) {
int maxParallelism = plan.getMaximumParallelism();
if (maxParallelism > 0) {
this.taskManagerNumSlots = maxParallelism;
}
}
// start the cluster for us
start();
}
else {
// we use the existing session
shutDownAtEnd = false;
}
try {
// TODO: Set job's default parallelism to max number of slots
final int slotsPerTaskManager = jobExecutorServiceConfiguration.getInteger(TaskManagerOptions.NUM_TASK_SLOTS, taskManagerNumSlots);
final int numTaskManagers = jobExecutorServiceConfiguration.getInteger(ConfigConstants.LOCAL_NUMBER_TASK_MANAGER, 1);
plan.setDefaultParallelism(slotsPerTaskManager * numTaskManagers);
Optimizer pc = new Optimizer(new DataStatistics(), jobExecutorServiceConfiguration);
OptimizedPlan op = pc.compile(plan);
JobGraphGenerator jgg = new JobGraphGenerator(jobExecutorServiceConfiguration);
JobGraph jobGraph = jgg.compileJobGraph(op, plan.getJobId());
return jobExecutorService.executeJobBlocking(jobGraph);
}
finally {
if (shutDownAtEnd) {
stop();
}
}
}
} | [
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spring-projects/spring-boot | spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskExecutorBuilder.java | TaskExecutorBuilder.taskDecorator | public TaskExecutorBuilder taskDecorator(TaskDecorator taskDecorator) {
return new TaskExecutorBuilder(this.queueCapacity, this.corePoolSize,
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} | java | public TaskExecutorBuilder taskDecorator(TaskDecorator taskDecorator) {
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/HanLP.java | HanLP.extractWords | public static List<WordInfo> extractWords(String text, int size)
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looly/hutool | hutool-poi/src/main/java/cn/hutool/poi/excel/sax/ExcelSaxUtil.java | ExcelSaxUtil.getDateValue | private static DateTime getDateValue(String value) {
return DateUtil.date(org.apache.poi.ss.usermodel.DateUtil.getJavaDate(Double.parseDouble(value), false));
} | java | private static DateTime getDateValue(String value) {
return DateUtil.date(org.apache.poi.ss.usermodel.DateUtil.getJavaDate(Double.parseDouble(value), false));
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apache/flink | flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/metrics/MetricFetcherImpl.java | MetricFetcherImpl.update | @Override
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fetchMetrics();
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} | java | @Override
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synchronized (this) {
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fetchMetrics();
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apache/flink | flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java | SegmentsUtil.hash | public static int hash(MemorySegment[] segments, int offset, int numBytes) {
if (inFirstSegment(segments, offset, numBytes)) {
return MurmurHashUtil.hashBytes(segments[0], offset, numBytes);
} else {
return hashMultiSeg(segments, offset, numBytes);
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if (inFirstSegment(segments, offset, numBytes)) {
return MurmurHashUtil.hashBytes(segments[0], offset, numBytes);
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return hashMultiSeg(segments, offset, numBytes);
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looly/hutool | hutool-log/src/main/java/cn/hutool/log/dialect/jdk/JdkLog.java | JdkLog.logIfEnabled | private void logIfEnabled(String callerFQCN, Level level, Throwable throwable, String format, Object[] arguments){
if(logger.isLoggable(level)){
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record.setLoggerName(getName());
record.setThrown(throwable);
fillCallerData(callerFQCN, record);
logger.log(record);
}
} | java | private void logIfEnabled(String callerFQCN, Level level, Throwable throwable, String format, Object[] arguments){
if(logger.isLoggable(level)){
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record.setLoggerName(getName());
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fillCallerData(callerFQCN, record);
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")",
")",
... | 打印对应等级的日志
@param callerFQCN
@param level 等级
@param throwable 异常对象
@param format 消息模板
@param arguments 参数 | [
"打印对应等级的日志"
] | bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a | https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-log/src/main/java/cn/hutool/log/dialect/jdk/JdkLog.java#L180-L188 | train | Logs a single exception if the logger is enabled. | [
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looly/hutool | hutool-crypto/src/main/java/cn/hutool/crypto/KeyUtil.java | KeyUtil.decodeECPoint | public static PublicKey decodeECPoint(String encode, String curveName) {
return BCUtil.decodeECPoint(encode, curveName);
} | java | public static PublicKey decodeECPoint(String encode, String curveName) {
return BCUtil.decodeECPoint(encode, curveName);
} | [
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] | 解码恢复EC压缩公钥,支持Base64和Hex编码,（基于BouncyCastle）<br>
见：https://www.cnblogs.com/xinzhao/p/8963724.html
@param encode 压缩公钥
@param curveName EC曲线名
@since 4.4.4 | [
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hankcs/HanLP | src/main/java/com/hankcs/hanlp/utility/LexiconUtility.java | LexiconUtility.setAttribute | public static boolean setAttribute(String word, CoreDictionary.Attribute attribute)
{
if (attribute == null) return false;
if (CoreDictionary.trie.set(word, attribute)) return true;
if (CustomDictionary.dat.set(word, attribute)) return true;
if (CustomDictionary.trie == null)
{
CustomDictionary.add(word);
}
CustomDictionary.trie.put(word, attribute);
return true;
} | java | public static boolean setAttribute(String word, CoreDictionary.Attribute attribute)
{
if (attribute == null) return false;
if (CoreDictionary.trie.set(word, attribute)) return true;
if (CustomDictionary.dat.set(word, attribute)) return true;
if (CustomDictionary.trie == null)
{
CustomDictionary.add(word);
}
CustomDictionary.trie.put(word, attribute);
return true;
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] | a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce | https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/utility/LexiconUtility.java#L81-L93 | train | Sets the attribute for a word. | [
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apache/flink | flink-clients/src/main/java/org/apache/flink/client/program/rest/RestClusterClient.java | RestClusterClient.requestJobResult | @Override
public CompletableFuture<JobResult> requestJobResult(@Nonnull JobID jobId) {
return pollResourceAsync(
() -> {
final JobMessageParameters messageParameters = new JobMessageParameters();
messageParameters.jobPathParameter.resolve(jobId);
return sendRequest(
JobExecutionResultHeaders.getInstance(),
messageParameters);
});
} | java | @Override
public CompletableFuture<JobResult> requestJobResult(@Nonnull JobID jobId) {
return pollResourceAsync(
() -> {
final JobMessageParameters messageParameters = new JobMessageParameters();
messageParameters.jobPathParameter.resolve(jobId);
return sendRequest(
JobExecutionResultHeaders.getInstance(),
messageParameters);
});
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