src/share/classes/java/util/stream/package-info.java

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   * {@link java.util.stream Stream#sequential()} and {@link java.util.stream.Stream#parallel()}
   * operations.  The {@code Stream} implementations in the JDK create serial streams unless
   * parallelism is explicitly requested.  For example, {@code Collection} has methods
   * {@link java.util.Collection#stream} and {@link java.util.Collection#parallelStream},
   * which produce sequential and parallel streams respectively; other stream-bearing methods
!  * such as {@link java.util.stream.Streams#intRange(int, int)} produce sequential
   * streams but these can be efficiently parallelized by calling {@code parallel()} on the
   * result. The set of operations on serial and parallel streams is identical. To execute the
   * "sum of weights of blocks" query in parallel, we would do:
   *
   * <pre>{@code
--- 139,149 ----
   * {@link java.util.stream Stream#sequential()} and {@link java.util.stream.Stream#parallel()}
   * operations.  The {@code Stream} implementations in the JDK create serial streams unless
   * parallelism is explicitly requested.  For example, {@code Collection} has methods
   * {@link java.util.Collection#stream} and {@link java.util.Collection#parallelStream},
   * which produce sequential and parallel streams respectively; other stream-bearing methods
!  * such as {@link java.util.stream.IntStream#range(int, int)} produce sequential
   * streams but these can be efficiently parallelized by calling {@code parallel()} on the
   * result. The set of operations on serial and parallel streams is identical. To execute the
   * "sum of weights of blocks" query in parallel, we would do:
   *
   * <pre>{@code