java.util.stream.Collectors.summarizingDouble()方法的使用及代码示例

x33g5p2x  于2022-01-17 转载在 其他  
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本文整理了Java中java.util.stream.Collectors.summarizingDouble()方法的一些代码示例，展示了Collectors.summarizingDouble()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Collectors.summarizingDouble()方法的具体详情如下：
包路径：java.util.stream.Collectors
类名称：Collectors
方法名：summarizingDouble

Collectors.summarizingDouble介绍

暂无

代码示例

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Product, DoubleSummaryStatistics> aggregateByProduct_serial_lazy_jdk()
{
  Map<Product, DoubleSummaryStatistics> result =
      this.jdkPositions.stream().collect(
          Collectors.groupingBy(
              Position::getProduct,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Account, DoubleSummaryStatistics> aggregateByAccount_serial_lazy_jdk()
{
  Map<Account, DoubleSummaryStatistics> accountDoubleMap =
      this.jdkPositions.stream().collect(
          Collectors.groupingBy(
              Position::getAccount,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(accountDoubleMap);
  return accountDoubleMap;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<String, DoubleSummaryStatistics> aggregateByCategory_serial_lazy_jdk()
{
  Map<String, DoubleSummaryStatistics> categoryDoubleMap =
      this.jdkPositions.stream().collect(
          Collectors.groupingBy(
              Position::getCategory,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(categoryDoubleMap);
  return categoryDoubleMap;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<String, DoubleSummaryStatistics> aggregateByCategory_serial_lazy_streams_gsc()
{
  Map<String, DoubleSummaryStatistics> categoryDoubleMap =
      this.gscPositions.stream().collect(
          Collectors.groupingBy(
              Position::getCategory,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(categoryDoubleMap);
  return categoryDoubleMap;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Account, DoubleSummaryStatistics> aggregateByAccount_parallel_lazy_jdk()
{
  Map<Account, DoubleSummaryStatistics> result =
      this.jdkPositions.parallelStream().collect(
          Collectors.groupingBy(
              Position::getAccount,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Account, DoubleSummaryStatistics> aggregateByAccount_parallel_lazy_streams_gsc()
{
  Map<Account, DoubleSummaryStatistics> result =
      this.gscPositions.parallelStream().collect(
          Collectors.groupingBy(
              Position::getAccount,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<String, DoubleSummaryStatistics> aggregateByCategory_parallel_lazy_streams_gsc()
{
  Map<String, DoubleSummaryStatistics> result =
      this.gscPositions.parallelStream().collect(
          Collectors.groupingBy(Position::getCategory, Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Account, DoubleSummaryStatistics> aggregateByAccount_serial_lazy_streams_gsc()
{
  Map<Account, DoubleSummaryStatistics> accountDoubleMap =
      this.gscPositions.stream().collect(
          Collectors.groupingBy(
              Position::getAccount,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(accountDoubleMap);
  return accountDoubleMap;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Product, DoubleSummaryStatistics> aggregateByProduct_parallel_lazy_jdk()
{
  Map<Product, DoubleSummaryStatistics> result =
      this.jdkPositions.parallelStream().collect(
          Collectors.groupingBy(
              Position::getProduct,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Product, DoubleSummaryStatistics> aggregateByProduct_serial_lazy_streams_gsc()
{
  Map<Product, DoubleSummaryStatistics> result =
      this.gscPositions.stream().collect(
          Collectors.groupingBy(
              Position::getProduct,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<Product, DoubleSummaryStatistics> aggregateByProduct_parallel_lazy_streams_gsc()
{
  Map<Product, DoubleSummaryStatistics> result =
      this.gscPositions.parallelStream().collect(
          Collectors.groupingBy(
              Position::getProduct,
              Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: goldmansachs/gs-collections

@Benchmark
public Map<String, DoubleSummaryStatistics> aggregateByCategory_parallel_lazy_jdk()
{
  Map<String, DoubleSummaryStatistics> result =
      this.jdkPositions.parallelStream().collect(
          Collectors.groupingBy(Position::getCategory, Collectors.summarizingDouble(Position::getMarketValue)));
  Assert.assertNotNull(result);
  return result;
}

代码示例来源：origin: OryxProject/oryx

.collect(Collectors.summarizingDouble(f -> ((NumericFeature) f).getValue()))
).collect().stream().map(p -> {

代码示例来源：origin: aol/cyclops

default DoubleSummaryStatistics doubleStats(ToDoubleFunction<T> fn){
  return stream().collect(Collectors.summarizingDouble(fn));
}

代码示例来源：origin: geotools/geotools

/** Returns min and max value applying the expression over the feature collection */
public static NumberRange<Double> getMinMax(
    ListFeatureCollection fc, Expression attributeExpression) {
  DoubleSummaryStatistics stats =
      fc.stream()
          .collect(
              Collectors.summarizingDouble(
                  f -> attributeExpression.evaluate(f, Double.class)));
  return new NumberRange<>(Double.class, stats.getMin(), stats.getMax());
}

代码示例来源：origin: sing-group/GC4S

protected String getDoubleListSummary(List<Double> values,
  String numericType
) {
  DoubleSummaryStatistics statistics = values.stream()
    .collect(Collectors.summarizingDouble(Double::doubleValue));

  return getSummary(numericType, new SummaryStatistics(statistics));
}

代码示例来源：origin: kousen/java_8_recipes

public void computeSalaryStatistics() {
  List<Team> teams = parseSalaries();
  DoubleSummaryStatistics teamStats = teams.stream()
      .mapToDouble(Team::getSalary)
      .collect(DoubleSummaryStatistics::new,
          DoubleSummaryStatistics::accept,
          DoubleSummaryStatistics::combine);
  printStats(teamStats);
  teamStats = teams.stream()
      .collect(Collectors.summarizingDouble(Team::getSalary));
  printStats(teamStats);
}

代码示例来源：origin: com.oath.cyclops/cyclops

default DoubleSummaryStatistics doubleStats(ToDoubleFunction<T> fn){
  return stream().collect(Collectors.summarizingDouble(fn));
}

代码示例来源：origin: Netflix/spectator

@Test
public void maxGauge() {
 Registry r = newRegistry(true, 10000);
 r.maxGauge("foo").set(1.0);
 r.maxGauge("foo").set(3.0);
 r.maxGauge("foo").set(2.0);
 final DoubleSummaryStatistics valueSummary = r.gauges()
   .filter(Functions.nameEquals("foo"))
   .collect(Collectors.summarizingDouble(Gauge::value));
 Assertions.assertEquals(1, valueSummary.getCount());
 Assertions.assertEquals(3.0, valueSummary.getSum(), 1e-12);
}

代码示例来源：origin: Netflix/spectator

@Test
public void gauges() {
 Registry r = newRegistry(true, 10000);
 r.gauge(r.createId("foo", "a", "1")).set(1.0);
 r.gauge(r.createId("foo", "a", "2")).set(2.0);
 r.gauge(r.createId("bar")).set(7.0);
 Assertions.assertEquals(3, r.gauges().count());
 final DoubleSummaryStatistics valueSummary = r.gauges()
   .filter(Functions.nameEquals("foo"))
   .collect(Collectors.summarizingDouble(Gauge::value));
 Assertions.assertEquals(2, valueSummary.getCount());
 Assertions.assertEquals(3.0, valueSummary.getSum(), 1e-12);
 Assertions.assertEquals(1.5, valueSummary.getAverage(), 1e-12);
}

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