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补充测试用例
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LoveHuahua
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@ -104,7 +104,7 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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/**
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* 返回包含单个元素的串行流
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*
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* @param t 单个元素
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* @param t 单个元素
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* @param <T> 元素类型
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* @return 包含单个元素的串行流
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*/
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@ -116,9 +116,9 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* 返回包含指定元素的串行流，若输入数组为{@code null}或空，则返回一个空的串行流
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*
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* @param values 指定元素
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* @param <T> 元素类型
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* @param <T> 元素类型
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* @return 包含指定元素的串行流
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* 从一个安全数组中创建流
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* 从一个安全数组中创建流
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*/
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@SafeVarargs
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@SuppressWarnings("varargs")
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@ -130,7 +130,7 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* 通过实现了{@link Iterable}接口的对象创建串行流，若输入对象为{@code null}，则返回一个空的串行流
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*
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* @param iterable 实现了{@link Iterable}接口的对象
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* @param <T> 元素类型
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* @param <T> 元素类型
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* @return 流
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*/
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public static <T> EasyStream<T> of(final Iterable<T> iterable) {
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@ -142,7 +142,7 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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*
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* @param iterable {@link Iterable}
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* @param parallel 是否并行
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* @param <T> 元素类型
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* @param <T> 元素类型
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* @return 流
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*/
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public static <T> EasyStream<T> of(final Iterable<T> iterable, final boolean parallel) {
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@ -157,7 +157,7 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* 通过传入的{@link Stream}创建流，若输入对象为{@code null}，则返回一个空的串行流
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*
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* @param stream {@link Stream}
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* @param <T> 元素类型
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* @param <T> 元素类型
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* @return 流
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*/
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public static <T> EasyStream<T> of(final Stream<T> stream) {
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@ -173,9 +173,9 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* 就可以创建从0开始，每次+1的无限流，使用{@link EasyStream#limit(long)}可以限制元素个数
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* </p>
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*
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* @param <T> 元素类型
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* @param <T> 元素类型
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* @param seed 初始值
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* @param f 用上一个元素作为参数执行并返回一个新的元素
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* @param f 用上一个元素作为参数执行并返回一个新的元素
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* @return 无限有序流
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*/
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public static <T> EasyStream<T> iterate(final T seed, final UnaryOperator<T> f) {
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@ -191,13 +191,14 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* 就可以创建包含元素0,1,2的流，使用{@link EasyStream#limit(long)}可以限制元素个数
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* </p>
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*
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* @param <T> 元素类型
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* @param seed 初始值
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* @param <T> 元素类型
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* @param seed 初始值
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* @param hasNext 条件值
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* @param next 用上一个元素作为参数执行并返回一个新的元素
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* @param next 用上一个元素作为参数执行并返回一个新的元素
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* @return 无限有序流
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*/
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public static <T> EasyStream<T> iterate(final T seed, final Predicate<? super T> hasNext, final UnaryOperator<T> next) {
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public static <T> EasyStream<T> iterate(final T seed, final Predicate<? super T> hasNext,
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final UnaryOperator<T> next) {
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Objects.requireNonNull(next);
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Objects.requireNonNull(hasNext);
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return new EasyStream<>(StreamUtil.iterate(seed, hasNext, next));
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@ -209,7 +210,7 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* 适用场景在一些生成常量流、随机元素等
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*
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* @param <T> 元素类型
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* @param s 用来生成元素的 {@code Supplier}
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* @param s 用来生成元素的 {@code Supplier}
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* @return 无限串行无序流
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*/
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public static <T> EasyStream<T> generate(final Supplier<T> s) {
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@ -224,8 +225,8 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* <p>从重复串行流进行拼接时可能会导致深度调用链甚至抛出 {@code StackOverflowException}</p>
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*
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* @param <T> 元素类型
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* @param a 第一个流
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* @param b 第二个流
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* @param a 第一个流
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* @param b 第二个流
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* @return 拼接两个流之后的流
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*/
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public static <T> EasyStream<T> concat(final Stream<? extends T> a, final Stream<? extends T> b) {
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@ -235,12 +236,13 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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/**
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* 拆分字符串，转换为串行流
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*
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* @param str 字符串
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* @param str 字符串
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* @param regex 正则
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* @return 拆分后元素组成的流
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*/
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public static EasyStream<String> split(final CharSequence str, final String regex) {
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return Opt.ofBlankAble(str).map(CharSequence::toString).map(s -> s.split(regex)).map(EasyStream::of).orElseGet(EasyStream::empty);
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return Opt.ofBlankAble(str).map(CharSequence::toString).map(s -> s.split(regex)).map(EasyStream::of)
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.orElseGet(EasyStream::empty);
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}
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// --------------------------------------------------------------- Static method end
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@ -251,7 +253,7 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* 这是一个无状态中间操作
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*
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* @param mapper 指定的函数
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* @param <R> 函数执行后返回的类型
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* @param <R> 函数执行后返回的类型
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* @return 返回叠加操作后的流
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*/
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@Override
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@ -272,8 +274,6 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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}
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/**
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* 计算int类型总和
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*
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@ -312,29 +312,52 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* @return {@link OptionalDouble}
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*/
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public BigDecimal sum(final Function<? super T, BigDecimal> mapper) {
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return stream.map(mapper).reduce(BigDecimal.ZERO, BigDecimal::add);
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return stream.map(mapper).reduce(BigDecimal.ZERO, BigDecimal::add);
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}
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/**
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* 计算bigDecimal平均值 并以四舍五入的方式保留2位精度
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*
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* @param mapper 映射
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* @return 如果元素的长度为0 那么会返回为空的opt
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*/
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public Opt<BigDecimal> avg(final Function<? super T, BigDecimal> mapper) {
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return avg(mapper, 2);
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}
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/**
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* 计算bigDecimal平均值 并以四舍五入的方式保留scale的进度
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*
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* @param mapper 映射
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* @param scale 精度
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* @return 如果元素的长度为0 那么会返回为空的opt
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*/
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public Opt<BigDecimal> avg(final Function<? super T, BigDecimal> mapper, int scale) {
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return avg(mapper, scale, RoundingMode.HALF_UP);
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}
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/**
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* 计算bigDecimal平均值
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*
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* @param mapper 映射
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* @param scale 精度
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* @param roundingMode 舍入模式
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* @return 如果元素的长度为0 那么会返回为空的opt
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*/
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public Opt<BigDecimal> avg(final Function<? super T,BigDecimal> mapper,int scale,RoundingMode roundingMode){
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public Opt<BigDecimal> avg(final Function<? super T, BigDecimal> mapper, int scale, RoundingMode roundingMode) {
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//元素列表
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List<BigDecimal> bigDecimalList = stream.map(mapper).collect(Collectors.toList());
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if (CollUtil.isEmpty(bigDecimalList)){
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if (CollUtil.isEmpty(bigDecimalList)) {
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return Opt.ofNullable(null);
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}
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return Opt.of(EasyStream.of(bigDecimalList).reduce(BigDecimal.ZERO, BigDecimal::add).divide(NumberUtil.toBigDecimal(bigDecimalList.size()),scale, roundingMode));
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return Opt.of(EasyStream.of(bigDecimalList).reduce(BigDecimal.ZERO, BigDecimal::add)
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.divide(NumberUtil.toBigDecimal(bigDecimalList.size()), scale, roundingMode));
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}
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/**
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* 计算int平均值
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*
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@ -367,7 +390,6 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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}
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/**
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* 建造者
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*
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@ -381,12 +403,12 @@ public class EasyStream<T> extends AbstractEnhancedWrappedStream<T, EasyStream<T
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* @param t the element to add
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* @return {@code this} builder
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* @throws IllegalStateException if the builder has already transitioned to
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* the built state
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* the built state
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* @implSpec The default implementation behaves as if:
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* <pre>{@code
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* accept(t)
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* return this;
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* }</pre>
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* <pre>{@code
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* accept(t)
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* return this;
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* }</pre>
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*/
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default Builder<T> add(final T t) {
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accept(t);
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@ -2,8 +2,10 @@ package cn.hutool.core.stream;
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import cn.hutool.core.collection.CollUtil;
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import cn.hutool.core.collection.ListUtil;
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import cn.hutool.core.lang.Opt;
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import cn.hutool.core.map.MapUtil;
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import cn.hutool.core.math.NumberUtil;
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import java.math.RoundingMode;
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import org.junit.Assert;
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import org.junit.Test;
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@ -85,10 +87,10 @@ public class EasyStreamTest {
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final List<Integer> orders = Arrays.asList(1, 2, 3, 2);
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final List<String> list = Arrays.asList("dromara", "guava", "sweet", "hutool");
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final Map<Integer, String> map = MapUtil.<Integer, String>builder()
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.put(1, "dromara")
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.put(2, "hutool")
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.put(3, "sweet")
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.build();
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.put(1, "dromara")
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.put(2, "hutool")
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.put(3, "sweet")
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.build();
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final Map<Integer, String> toZip = EasyStream.of(orders).toZip(list);
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Assert.assertEquals(map, toZip);
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@ -126,15 +128,15 @@ public class EasyStreamTest {
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final List<Integer> list = Arrays.asList(1, 2, 3);
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final Map<String, List<Integer>> group = EasyStream.of(list).group(String::valueOf);
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Assert.assertEquals(
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new HashMap<String, List<Integer>>() {
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private static final long serialVersionUID = 1L;
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new HashMap<String, List<Integer>>() {
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private static final long serialVersionUID = 1L;
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{
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put("1", singletonList(1));
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put("2", singletonList(2));
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put("3", singletonList(3));
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}
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}, group);
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{
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put("1", singletonList(1));
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put("2", singletonList(2));
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put("3", singletonList(3));
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}
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}, group);
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}
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@Test
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@ -144,7 +146,7 @@ public class EasyStreamTest {
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Assert.assertEquals(Arrays.asList("1.dromara", "2.hutool", "3.sweet"), mapIndex);
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// 并行流时正常
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Assert.assertEquals(Arrays.asList("1.dromara", "2.hutool", "3.sweet"),
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EasyStream.of("dromara", "hutool", "sweet").parallel().mapIdx((e, i) -> i + 1 + "." + e).toList());
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EasyStream.of("dromara", "hutool", "sweet").parallel().mapIdx((e, i) -> i + 1 + "." + e).toList());
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}
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@Test
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@ -185,7 +187,8 @@ public class EasyStreamTest {
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Assert.assertEquals(ListUtil.sort(collect2), ListUtil.sort(distinctBy2));
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Assert.assertEquals(
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4, EasyStream.of(1, 2, 2, null, 3, null).parallel(true).distinct(t -> Objects.isNull(t) ? null : t.toString()).sequential().count()
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4, EasyStream.of(1, 2, 2, null, 3, null).parallel(true)
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.distinct(t -> Objects.isNull(t) ? null : t.toString()).sequential().count()
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);
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}
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@ -221,28 +224,28 @@ public class EasyStreamTest {
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Assert.assertEquals(Arrays.asList("1.dromara", "2.hutool", "3.sweet"), mapIndex);
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// 并行流时正常
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Assert.assertEquals(Arrays.asList("1.dromara", "2.hutool", "3.sweet"),
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EasyStream.of("dromara", "hutool", "sweet").parallel()
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.flatMapIdx((e, i) -> EasyStream.of(i + 1 + "." + e)).toList());
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EasyStream.of("dromara", "hutool", "sweet").parallel()
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.flatMapIdx((e, i) -> EasyStream.of(i + 1 + "." + e)).toList());
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}
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@Test
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public void testPeek() {
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EasyStream.of("one", "two", "three", "four")
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.filter(e -> e.length() == 4)
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.peek(e -> Assert.assertEquals("four", e))
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.map(String::toUpperCase)
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.peek(e -> Assert.assertEquals("FOUR", e))
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.collect(Collectors.toList());
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.filter(e -> e.length() == 4)
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.peek(e -> Assert.assertEquals("four", e))
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.map(String::toUpperCase)
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.peek(e -> Assert.assertEquals("FOUR", e))
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.collect(Collectors.toList());
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}
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@Test
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public void testPeekIdx() {
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EasyStream.of("one", "two", "three", "four")
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.filter(e -> e.length() == 4)
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.peekIdx((e, i) -> Assert.assertEquals("four:0", e + ":" + i))
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.map(String::toUpperCase)
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.peekIdx((e, i) -> Assert.assertEquals("FOUR:0", e + ":" + i))
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.collect(Collectors.toList());
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.filter(e -> e.length() == 4)
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.peekIdx((e, i) -> Assert.assertEquals("four:0", e + ":" + i))
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.map(String::toUpperCase)
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.peekIdx((e, i) -> Assert.assertEquals("FOUR:0", e + ":" + i))
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.collect(Collectors.toList());
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}
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@Test
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@ -278,7 +281,7 @@ public class EasyStreamTest {
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Assert.assertEquals(Arrays.asList("dromara", "hutool"), filterIndex);
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// 并行流时正常
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Assert.assertEquals(Arrays.asList("dromara", "hutool"),
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EasyStream.of("dromara", "hutool", "sweet").parallel().filterIdx((e, i) -> i < 2).toList());
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EasyStream.of("dromara", "hutool", "sweet").parallel().filterIdx((e, i) -> i < 2).toList());
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}
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@Test
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@ -384,23 +387,23 @@ public class EasyStreamTest {
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final List<Integer> list = EasyStream.iterate(1, i -> i <= 10, i -> i + 1).toList();
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final List<String> res1 = EasyStream.of(list)
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// 舍弃 5
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.takeWhile(e -> e < 5)
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// 过滤奇数
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.filter(e -> (e & 1) == 0)
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// 反序
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.sorted(Comparator.reverseOrder())
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.map(String::valueOf)
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.toList();
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// 舍弃 5
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.takeWhile(e -> e < 5)
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// 过滤奇数
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.filter(e -> (e & 1) == 0)
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// 反序
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.sorted(Comparator.reverseOrder())
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.map(String::valueOf)
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.toList();
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Assert.assertEquals(Arrays.asList("4", "2"), res1);
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final List<Integer> res2 = EasyStream.iterate(1, i -> i + 1)
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.parallel()
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.takeWhile(e -> e < 5)
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.map(String::valueOf)
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.map(Integer::valueOf)
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.sorted(Comparator.naturalOrder())
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.toList();
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.parallel()
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.takeWhile(e -> e < 5)
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.map(String::valueOf)
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.map(Integer::valueOf)
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.sorted(Comparator.naturalOrder())
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.toList();
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Assert.assertEquals(Arrays.asList(1, 2, 3, 4), res2);
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}
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@ -410,25 +413,25 @@ public class EasyStreamTest {
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final List<Integer> list = EasyStream.iterate(1, i -> i <= 10, i -> i + 1).toList();
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final List<String> res1 = EasyStream.of(list)
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// 舍弃 5之前的数字
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.dropWhile(e -> e < 5)
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// 过滤偶数
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.filter(e -> (e & 1) == 1)
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// 反序
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.sorted(Comparator.reverseOrder())
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.map(String::valueOf)
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.toList();
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// 舍弃 5之前的数字
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.dropWhile(e -> e < 5)
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// 过滤偶数
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.filter(e -> (e & 1) == 1)
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// 反序
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.sorted(Comparator.reverseOrder())
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.map(String::valueOf)
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.toList();
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Assert.assertEquals(Arrays.asList("9", "7", "5"), res1);
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|
||||
final List<Integer> res2 = EasyStream.of(list)
|
||||
.parallel()
|
||||
.dropWhile(e -> e < 5)
|
||||
// 过滤偶数
|
||||
.filter(e -> (e & 1) == 1)
|
||||
.map(String::valueOf)
|
||||
.map(Integer::valueOf)
|
||||
.sorted(Comparator.naturalOrder())
|
||||
.toList();
|
||||
.parallel()
|
||||
.dropWhile(e -> e < 5)
|
||||
// 过滤偶数
|
||||
.filter(e -> (e & 1) == 1)
|
||||
.map(String::valueOf)
|
||||
.map(Integer::valueOf)
|
||||
.sorted(Comparator.naturalOrder())
|
||||
.toList();
|
||||
Assert.assertEquals(Arrays.asList(5, 7, 9), res2);
|
||||
}
|
||||
|
||||
@ -440,6 +443,7 @@ public class EasyStreamTest {
|
||||
|
||||
@Test
|
||||
public void testIntSumAndAvg() {
|
||||
//测试int类型的总和
|
||||
int sum = EasyStream.of(1, 2, 3, 4, 5, 6, 7, 8, 9, 10).sum(Integer::intValue);
|
||||
Assert.assertEquals(sum, 55);
|
||||
|
||||
@ -447,38 +451,102 @@ public class EasyStreamTest {
|
||||
List<Integer> integerList = new ArrayList<>();
|
||||
int emptySum = EasyStream.of(integerList).sum(Integer::intValue);
|
||||
Assert.assertEquals(emptySum, 0);
|
||||
|
||||
//测试平均值
|
||||
OptionalDouble avg = EasyStream.of(1, 2, 3, 4, 5, 6, 7, 8, 9, 10).avg(Integer::intValue);
|
||||
Assert.assertEquals(avg.getAsDouble(), 5.5, 2);
|
||||
|
||||
//测试元素为空
|
||||
OptionalDouble emptyAvg = EasyStream.of(integerList).avg(Integer::intValue);
|
||||
Assert.assertFalse(emptyAvg.isPresent());
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testDoubleSumAndAvg() {
|
||||
//测试double类型的sum
|
||||
double doubleSum = EasyStream.of(1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10).sum(Double::doubleValue);
|
||||
Assert.assertEquals(doubleSum, 59.6,2);
|
||||
Assert.assertEquals(doubleSum, 59.6, 2);
|
||||
|
||||
//测试double类型的sum 无元素double
|
||||
List<Double> doubleList = new ArrayList<>();
|
||||
double emptySum = EasyStream.of(doubleList).sum(Double::doubleValue);
|
||||
Assert.assertEquals(emptySum, 0.0,2);
|
||||
Assert.assertEquals(emptySum, 0.0, 2);
|
||||
|
||||
//测试double类型的avg
|
||||
OptionalDouble doubleAvg = EasyStream.of(1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10)
|
||||
.avg(Double::doubleValue);
|
||||
Assert.assertEquals(doubleAvg.getAsDouble(), 5.96, 2);
|
||||
|
||||
//测试double类型的 空元素的avg
|
||||
OptionalDouble emptyDoubleAvg = EasyStream.of(doubleList).avg(Double::doubleValue);
|
||||
Assert.assertFalse(emptyDoubleAvg.isPresent());
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testLongSumAndAvg() {
|
||||
//测试long类型的sum
|
||||
long sum = EasyStream.of(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L).sum(Long::longValue);
|
||||
Assert.assertEquals(sum, 55);
|
||||
|
||||
//测试long类型的空元素 sum
|
||||
List<Long> longList = new ArrayList<>();
|
||||
double emptySum = EasyStream.of(longList).sum(Long::longValue);
|
||||
long emptySum = EasyStream.of(longList).sum(Long::longValue);
|
||||
Assert.assertEquals(emptySum, 0L);
|
||||
|
||||
//测试long类型的avg
|
||||
OptionalDouble doubleAvg = EasyStream.of(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L).avg(Long::longValue);
|
||||
Assert.assertEquals(doubleAvg.getAsDouble(), 5.5, 2);
|
||||
|
||||
//测试long类型的avg 空元素
|
||||
OptionalDouble emptyDoubleAvg = EasyStream.of(longList).avg(Long::longValue);
|
||||
Assert.assertFalse(emptyDoubleAvg.isPresent());
|
||||
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testBigDecimalSumAndAvg() {
|
||||
BigDecimal sum = EasyStream.of(NumberUtil.toBigDecimal(1.1), NumberUtil.toBigDecimal(2.2), NumberUtil.toBigDecimal(3.3), NumberUtil.toBigDecimal(4.4), NumberUtil.toBigDecimal(5.5), NumberUtil.toBigDecimal(6.6), NumberUtil.toBigDecimal(7.7), NumberUtil.toBigDecimal(8.8), NumberUtil.toBigDecimal(9.9), NumberUtil.toBigDecimal(10.10)).sum(Function.identity());
|
||||
Assert.assertEquals(sum, 59.6);
|
||||
//测试bigDecimal的sum
|
||||
BigDecimal sum = EasyStream.of(NumberUtil.toBigDecimal(1.1), NumberUtil.toBigDecimal(2.2),
|
||||
NumberUtil.toBigDecimal(3.3), NumberUtil.toBigDecimal(4.4), NumberUtil.toBigDecimal(5.5),
|
||||
NumberUtil.toBigDecimal(6.6), NumberUtil.toBigDecimal(7.7), NumberUtil.toBigDecimal(8.8),
|
||||
NumberUtil.toBigDecimal(9.9), NumberUtil.toBigDecimal(10.10)).sum(Function.identity());
|
||||
Assert.assertEquals(sum, NumberUtil.toBigDecimal(59.6));
|
||||
|
||||
List<BigDecimal> bigDecimalList = new ArrayList<>();
|
||||
BigDecimal emptySum = EasyStream.of(bigDecimalList).sum(Function.identity());
|
||||
//测试bigDecimal的sum 空元素
|
||||
List<BigDecimal> bigDecimalEmptyList = new ArrayList<>();
|
||||
BigDecimal emptySum = EasyStream.of(bigDecimalEmptyList).sum(Function.identity());
|
||||
Assert.assertEquals(emptySum, BigDecimal.ZERO);
|
||||
|
||||
//测试bigDecimal的avg
|
||||
Opt<BigDecimal> bigDecimalAvgFullParam = EasyStream.of(NumberUtil.toBigDecimal(1.1),
|
||||
NumberUtil.toBigDecimal(2.2), NumberUtil.toBigDecimal(3.3), NumberUtil.toBigDecimal(4.4),
|
||||
NumberUtil.toBigDecimal(5.5), NumberUtil.toBigDecimal(6.6), NumberUtil.toBigDecimal(7.7),
|
||||
NumberUtil.toBigDecimal(8.8), NumberUtil.toBigDecimal(9.9), NumberUtil.toBigDecimal(10.10))
|
||||
.avg(Function.identity(), 2, RoundingMode.HALF_UP);
|
||||
Assert.assertEquals(bigDecimalAvgFullParam.get(), NumberUtil.toBigDecimal(5.96));
|
||||
|
||||
Opt<BigDecimal> bigDecimalAvgOneParam = EasyStream.of(NumberUtil.toBigDecimal(1.1),
|
||||
NumberUtil.toBigDecimal(2.2), NumberUtil.toBigDecimal(3.3), NumberUtil.toBigDecimal(4.4),
|
||||
NumberUtil.toBigDecimal(5.5), NumberUtil.toBigDecimal(6.6), NumberUtil.toBigDecimal(7.7),
|
||||
NumberUtil.toBigDecimal(8.8), NumberUtil.toBigDecimal(9.9), NumberUtil.toBigDecimal(10.10))
|
||||
.avg(Function.identity());
|
||||
Assert.assertEquals(bigDecimalAvgOneParam.get(), NumberUtil.toBigDecimal(5.96));
|
||||
|
||||
Opt<BigDecimal> bigDecimalAvgTwoParam = EasyStream.of(NumberUtil.toBigDecimal(1.1),
|
||||
NumberUtil.toBigDecimal(2.2), NumberUtil.toBigDecimal(3.3), NumberUtil.toBigDecimal(4.4),
|
||||
NumberUtil.toBigDecimal(5.5), NumberUtil.toBigDecimal(6.6), NumberUtil.toBigDecimal(7.7),
|
||||
NumberUtil.toBigDecimal(8.8), NumberUtil.toBigDecimal(9.9), NumberUtil.toBigDecimal(10.10))
|
||||
.avg(Function.identity(), 2);
|
||||
Assert.assertEquals(bigDecimalAvgTwoParam.get(), NumberUtil.toBigDecimal(5.96));
|
||||
|
||||
//测试bigDecimal的avg 空元素
|
||||
Opt<BigDecimal> emptyBigDecimalAvg = EasyStream.of(bigDecimalEmptyList)
|
||||
.avg(Function.identity(), 2, RoundingMode.HALF_UP);
|
||||
Assert.assertFalse(emptyBigDecimalAvg.isPresent());
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user