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lambda_ja-omegat.tmx
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lambda_ja-omegat.tmx
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE tmx SYSTEM "tmx11.dtd">
<tmx version="1.1">
<header creationtool="OmegaT" o-tmf="OmegaT TMX" adminlang="EN-US" datatype="plaintext" creationtoolversion="2.6.3_7" segtype="sentence" srclang="EN-US"/>
<body>
<!-- Default translations -->
<tu>
<tuv lang="EN-US">
<seg>#average()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032909Z">
<seg>#average()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#collect(Supplier, BiConsumer, BiConsumer)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032859Z">
<seg>#collect(Supplier, BiConsumer, BiConsumer)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#doubleStream(java.util.Spliterator.OfDouble, boolean)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032834Z">
<seg>#doubleStream(java.util.Spliterator.OfDouble, boolean)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#findFirst()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032900Z">
<seg>#findFirst()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#flatMap(Function)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032840Z">
<seg>#flatMap(Function)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#forEach(Consumer)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032842Z">
<seg>#forEach(Consumer)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#forEach(DoubleConsumer)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032923Z">
<seg>#forEach(DoubleConsumer)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#forEach(IntConsumer)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032915Z">
<seg>#forEach(IntConsumer)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#forEach(LongConsumer)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032905Z">
<seg>#forEach(LongConsumer)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#groupingBy(Function)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T033427Z">
<seg>#groupingBy(Function)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#groupingBy(Function, Collector)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032347Z">
<seg>#groupingBy(Function, Collector)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#groupingBy(Function, Supplier, Collector)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032347Z">
<seg>#groupingBy(Function, Supplier, Collector)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#groupingByConcurrent(Function)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032348Z">
<seg>#groupingByConcurrent(Function)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#groupingByConcurrent(Function, Collector)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T033427Z">
<seg>#groupingByConcurrent(Function, Collector)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#groupingByConcurrent(Function, Supplier, Collector)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T034223Z">
<seg>#groupingByConcurrent(Function, Supplier, Collector)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#intStream(java.util.Spliterator.OfInt, boolean)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032834Z">
<seg>#intStream(java.util.Spliterator.OfInt, boolean)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#longStream(java.util.Spliterator.OfLong, boolean)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032834Z">
<seg>#longStream(java.util.Spliterator.OfLong, boolean)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#max()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032909Z">
<seg>#max()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#max(Comparator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032852Z">
<seg>#max(Comparator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#min()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032908Z">
<seg>#min()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#min(Comparator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032852Z">
<seg>#min(Comparator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#partitioningBy(Predicate)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T040122Z">
<seg>#partitioningBy(Predicate)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#partitioningBy(Predicate, Collector)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T035915Z">
<seg>#partitioningBy(Predicate, Collector)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reduce(BinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032853Z">
<seg>#reduce(BinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reduce(Object, BinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032851Z">
<seg>#reduce(Object, BinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reduce(double, DoubleBinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032927Z">
<seg>#reduce(double, DoubleBinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reduce(int, IntBinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032920Z">
<seg>#reduce(int, IntBinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reduce(long, LongBinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032911Z">
<seg>#reduce(long, LongBinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reducing(BinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T031648Z">
<seg>#reducing(BinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reducing(Object, BinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T031221Z">
<seg>#reducing(Object, BinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#reducing(Object, Function, BinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T031224Z">
<seg>#reducing(Object, Function, BinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#stream(java.util.Spliterator, boolean)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032833Z">
<seg>#stream(java.util.Spliterator, boolean)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#sum()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032908Z">
<seg>#sum()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#summarizingDouble(ToDoubleFunction)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T051041Z">
<seg>#summarizingDouble(ToDoubleFunction)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#summarizingInt(ToIntFunction)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T051059Z">
<seg>#summarizingInt(ToIntFunction)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#summarizingLong(ToLongFunction)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T051042Z">
<seg>#summarizingLong(ToLongFunction)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#toConcurrentMap(Function, Function)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T040641Z">
<seg>#toConcurrentMap(Function, Function)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#toConcurrentMap(Function, Function, BinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T041720Z">
<seg>#toConcurrentMap(Function, Function, BinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#toConcurrentMap(Function, Function, BinaryOperator, Supplier)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T050305Z">
<seg>#toConcurrentMap(Function, Function, BinaryOperator, Supplier)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#toMap(Function, Function)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T041719Z">
<seg>#toMap(Function, Function)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#toMap(Function, Function, BinaryOperator)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T040640Z">
<seg>#toMap(Function, Function, BinaryOperator)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>#toMap(Function, Function, BinaryOperator, Supplier)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T040641Z">
<seg>#toMap(Function, Function, BinaryOperator, Supplier)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(Depending on the specific reduction operation, this may perform better or worse, depending on the relative cost of the accumulator and combiner functions.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T070612Z">
<seg>(具体的な簡約処理によっては、これはより性能が良い場合もあれば悪い場合もある。これは累積関数と統合関数の相対的なコストに依存する)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(Even if the language had a "parallel for-each" construct, the mutative accumulation approach would still required the developer to provide thread-safe updates to the shared accumulating variable {@code sum}, and the required synchronization would then likely eliminate any performance gain from parallelism.) Using {@code reduce()} instead removes all of the burden of parallelizing the reduction operation, and the library can provide an efficient parallel implementation with no additional synchronization required.</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140210T130547Z">
<seg>(たとえ言語が「並列for-each」文を備えていたとしても、可変な累積を使う方法では共有累積変数{@code sum}の更新に対するスレッド安全性を開発者が確保する必要があり、そこで必要となる同期は、並列化から得られる効率の向上をほとんど失なわせてしまうだろう)。代わりに{@code reduce()}を使えば簡約処理を並列化する際の一切の面倒を除去でき、ライブラリは余分な同期処理を必要とせずに効率的な並列実装を提供できるようになる。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(For example, an unordered collector that accumulated elements to a {@code List} would consider two lists equivalent if they contained the same elements, ignoring order.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T081833Z">
<seg>(例えば、要素を{@code List}に累積する、順序を持たないコレクタは、2つのリストが順序を無視して同じ要素を含んでいれば等価であるとして扱うだろう)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(For example, {@link Collection#stream() Collection.stream()} creates a sequential stream, and {@link Collection#parallelStream() Collection.parallelStream()} creates a parallel one.) This choice of execution mode may be modified by the {@link #sequential()} or {@link #parallel()} methods, and may be queried with the {@link #isParallel()} method.</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T065029Z">
<seg>(例えば、{@link Collection#stream() Collection.stream()}は逐次ストリームを作成し、{@link Collection#parallelStream() Collection.parallelStream()}は並列ストリームを作成する)。この実行モードの選択は{@link #sequential()}メソッドや{@link #parallel()}メソッドで変更でき、{@link #isParallel()}メソッドで調べられる。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(If a mapped stream is {@code null} an empty stream is used, instead.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T065716Z">
<seg>(もし写像されたストリームが{@code null}であれば、代わりに空のストリームが使われる)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(If a stable result is desired, use {@link #findFirst()} instead.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T083502Z">
<seg>(もし安定した結果を望むならば、代わりに{@link #findFirst()}を用いよ)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(If a stream does require closing, it can be declared as a resource in a {@code try}-with-resources statement.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T064636Z">
<seg>(もしストリームを閉じる必要がある場合、{@code try}-with-resources文の資源として宣言できる)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(Summation is an example of a <a0>reduction</a0> operation.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140210T075326Z">
<seg>(和の計算は<a0>簡約</a0>(reduction)処理の1例である)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(The combiner is necessary in parallel reductions, where the input is partitioned, a partial accumulation computed for each partition, and then the partial results are combined to produce a final result.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140210T131655Z">
<seg>(統合関数は並列簡約において必要である。並列簡約では入力が分割され、部分的な累積結果が各部分に対して計算され、そして最終結果を生成するために中間結果が統合される)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(The {@code ?} for the second type parameter merely indicates that we don't care about the intermediate representation used by this collector.) If we wanted to create a collector to tabulate the sum of salaries by department, we could reuse {@code summingSalaries} using {@link java.util.stream.Collectors#groupingBy(java.util.function.Function, java.util.stream.Collector) groupingBy}:</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T014234Z">
<seg>(第2型変数に対する{@code ?}は、単にコレクタが使う中間表現について気にしないという意味である)。もし部門ごとの給与の合計の表を作るコレクタを作りたいなら、{@link java.util.stream.Collectors#groupingBy(java.util.function.Function, java.util.stream.Collector) groupingBy}を利用して{@code summingSalaries}を再利用できる。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(This behavior becomes even more important when the input stream is infinite and not merely large.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140210T033529Z">
<seg>(この挙動は入力のストリームが単に大きいだけでなく、無限である場合にはより重要となる)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(This behavior is also implemented by the predefined collector {@link Collectors#toCollection(Supplier)}).</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T070237Z">
<seg>この挙動は予め用意されたコレクタ{@link Collectors#toCollection(Supplier)}を使っても実装できる。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(This might be true if the result container has no intrinsic order, such as a {@link Set}.)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T074722Z">
<seg>(これは結果コンテナが{@link Set}など、本質的な順序を持たない場合に当てはまる)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(a op b) op c == a op (b op c)
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032833Z">
<seg>(a op b) op c == a op (b op c)
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(c, e) -> c.add(e.toString()),</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032817Z">
<seg>(c, e) -> c.add(e.toString()),</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(c1, c2) -> c1.addAll(c2));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032819Z">
<seg>(c1, c2) -> c1.addAll(c2));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(left, right) -> { left.addAll(right); return left; });
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T070209Z">
<seg>(left, right) -> { left.addAll(right); return left; });
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(s, a) -> s + ", " + a));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T041512Z">
<seg>(s, a) -> s + ", " + a));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(sum, b) -> sum + b.getWeight())</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032807Z">
<seg>(sum, b) -> sum + b.getWeight())</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>(where {@link java.util.stream.Collectors#groupingByConcurrent} is the concurrent equivalent of {@code groupingBy}).</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T020302Z">
<seg>(ここで{@link java.util.stream.Collectors#groupingByConcurrent}は{@code groupingBy}の並行版である)。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(ArrayList::new, ArrayList::add, ArrayList::addAll);
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032821Z">
<seg>.collect(ArrayList::new, ArrayList::add, ArrayList::addAll);
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.groupingBy(Employee::getDepartment));</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032934Z">
<seg>.collect(Collectors.groupingBy(Employee::getDepartment));</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.groupingBy(Employee::getDepartment,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032934Z">
<seg>.collect(Collectors.groupingBy(Employee::getDepartment,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.groupingBy(Transaction::getBuyer));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032830Z">
<seg>.collect(Collectors.groupingBy(Transaction::getBuyer));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.joining(", "));</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032931Z">
<seg>.collect(Collectors.joining(", "));</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.partitioningBy(s -> s.getGrade() >= PASS_THRESHOLD));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032936Z">
<seg>.collect(Collectors.partitioningBy(s -> s.getGrade() >= PASS_THRESHOLD));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.summingInt(Employee::getSalary)));</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032932Z">
<seg>.collect(Collectors.summingInt(Employee::getSalary)));</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.toList());
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032821Z">
<seg>.collect(Collectors.toList());
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(Collectors.toList()); // No side-effects!</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140210T090753Z">
<seg>.collect(Collectors.toList()); // 副作用無し!</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.collect(groupingByConcurrent(Transaction::getBuyer));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032832Z">
<seg>.collect(groupingByConcurrent(Transaction::getBuyer));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.filter(b -> b.getColor() == RED)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032735Z">
<seg>.filter(b -> b.getColor() == RED)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.filter(e -> e > 2)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032905Z">
<seg>.filter(e -> e > 2)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.filter(e -> e.length() > 3)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032841Z">
<seg>.filter(e -> e.length() > 3)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.filter(p -> p.getGender() == MALE)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032843Z">
<seg>.filter(p -> p.getGender() == MALE)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.filter(w -> w.getColor() == RED)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032835Z">
<seg>.filter(w -> w.getColor() == RED)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.forEach(s -> results.add(s)); // Unnecessary use of side-effects!</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032748Z">
<seg>.forEach(s -> results.add(s)); // Unnecessary use of side-effects!</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.map(Object::toString)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032931Z">
<seg>.map(Object::toString)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.map(String::toUpperCase)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032841Z">
<seg>.map(String::toUpperCase)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.map(e -> e * e)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032905Z">
<seg>.map(e -> e * e)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.mapToDouble(w -> w.getWeight())</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032923Z">
<seg>.mapToDouble(w -> w.getWeight())</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.mapToInt(Widget::getWeight)</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032802Z">
<seg>.mapToInt(Widget::getWeight)</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.mapToInt(b -> b.getWeight())</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032735Z">
<seg>.mapToInt(b -> b.getWeight())</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.mapToInt(w -> w.getWeight())</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032835Z">
<seg>.mapToInt(w -> w.getWeight())</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.mapToLong(w -> w.getWeight())</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032903Z">
<seg>.mapToLong(w -> w.getWeight())</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.max();
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032802Z">
<seg>.max();
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.peek(e -> System.out.println("Filtered value: " + e))</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T072240Z">
<seg>.peek(e -> System.out.println("絞り込まれた値: " + e))</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.peek(e -> System.out.println("Mapped value: " + e))</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140211T072407Z">
<seg>.peek(e -> System.out.println("写像された値: " + e))</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.reduce(0,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032807Z">
<seg>.reduce(0,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.sum();
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032736Z">
<seg>.sum();
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.toArray(Person[]::new);
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032843Z">
<seg>.toArray(Person[]::new);
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.toString();
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032856Z">
<seg>.toString();
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>.unordered()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032832Z">
<seg>.unordered()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>// Accumulate names into a List</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140213T121157Z">
<seg>// 名前をListに累積する</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>// Accumulate names into a TreeSet</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140213T121209Z">
<seg>// 名前をTreeSetに累積する</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>// Compute sum of salaries by department</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140213T121327Z">
<seg>// 部署ごとに給与の合計を求める</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>// Compute sum of salaries of employee</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140213T121255Z">
<seg>// 従業員の給与の和を求める</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>// Convert elements to strings and concatenate them, separated by commas</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140213T121229Z">
<seg>// 要素を文字列に変換し、カンマで区切って連結する</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>// Group employees by department</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140213T121303Z">
<seg>// 部署ごとに従業員をグループ化する</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>// Partition students into passing and failing</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140213T121349Z">
<seg>// 学生を合格者と不合格者に分ける</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>1.8</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032833Z">
<seg>1.8</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= Collectors.groupingBy(Employee::getDepartment, summingSalaries);
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T072056Z">
<seg>= Collectors.groupingBy(Employee::getDepartment, summingSalaries);
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= Collectors.summingInt(Employee::getSalary))
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T071914Z">
<seg>= Collectors.summingInt(Employee::getSalary))
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= Collectors.summingInt(Employee::getSalary);
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032823Z">
<seg>= Collectors.summingInt(Employee::getSalary);
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= employees.stream()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032933Z">
<seg>= employees.stream()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= employees.stream().collect(Collectors.groupingBy(Employee::getDepartment,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032824Z">
<seg>= employees.stream().collect(Collectors.groupingBy(Employee::getDepartment,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= people.stream().collect(collectingAndThen(toList(), Collections::unmodifiableList));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032938Z">
<seg>= people.stream().collect(collectingAndThen(toList(), Collections::unmodifiableList));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= people.stream().collect(groupingBy(Person::getCity,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T031506Z">
<seg>= people.stream().collect(groupingBy(Person::getCity,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= people.stream().collect(groupingBy(Person::getCity, ConcurrentSkipListMap::new,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T035801Z">
<seg>= people.stream().collect(groupingBy(Person::getCity, ConcurrentSkipListMap::new,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= people.stream().collect(groupingBy(Person::getCity, TreeMap::new,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T033552Z">
<seg>= people.stream().collect(groupingBy(Person::getCity, TreeMap::new,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= people.stream().collect(groupingBy(Person::getCity, reducing(BinaryOperator.maxBy(byHeight))));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T031111Z">
<seg>= people.stream().collect(groupingBy(Person::getCity, reducing(BinaryOperator.maxBy(byHeight))));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= people.stream().collect(groupingByConcurrent(Person::getCity,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T035717Z">
<seg>= people.stream().collect(groupingByConcurrent(Person::getCity,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= personStream.collect(Collectors.groupingBy(Person::getCity));
}</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032857Z">
<seg>= personStream.collect(Collectors.groupingBy(Person::getCity));
}</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= personStream.collect(Collectors.groupingBy(Person::getState,</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032858Z">
<seg>= personStream.collect(Collectors.groupingBy(Person::getState,</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>= txns.parallelStream()</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T032830Z">
<seg>= txns.parallelStream()</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>A <a0>mutable reduction operation</a0> that accumulates input elements into a mutable result container, optionally transforming the accumulated result into a final representation after all input elements have been processed.</seg>
</tuv>
<tuv lang="JA" changeid="taku0" changedate="20140215T051500Z">
<seg>入力要素を可変な結果コンテナに累積し、さらに追加可能な処理として、全ての入力要素が処理された後に累積した結果を最終形に変換する<a0>可変的簡約処理</a0>。</seg>
</tuv>
</tu>
<tu>
<tuv lang="EN-US">
<seg>A <e0>mutable reduction operation</e0> accumulates input elements into a mutable result container, such as a {@code Collection} or {@code StringBuilder}, as it processes the elements in the stream.</seg>
</tuv>
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<seg><e0>可変的簡約処理(mutable reduction operation)</e0>は入力要素を処理しながら{@code Collection}や{@code StringBuilder}などの可変な結果コンテナに累積していく。</seg>
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<seg>A <e0>reduction</e0> operation (also called a <e1>fold</e1>) takes a sequence of input elements and combines them into a single summary result by repeated application of a combining operation, such as finding the sum or maximum of a set of numbers, or accumulating elements into a list.</seg>
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<seg><e0>簡約(reduction)</e0>処理(<e1>折り畳み(fold)</e1>とも呼ばれる)は入力要素の列を受け取り、統合処理を繰り返し適用して1つの要約値に統合する。例えば数値の集合の和や最大値を求めたり、要素を1つのリストに累積する。</seg>
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