for (int i = 0; i < reps; i++) {
      Stopwatch s = Stopwatch.createStarted();
      // here is where you would do something
      total += s.elapsed(NANOSECONDS);
    }
    return total;
  }

  @Benchmark
  long manual(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      long start = System.nanoTime();
      // here is where you would do something
      total += System.nanoTime() - start;
    }

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        final EnumSet<DialectVersion> vers = EnumSet.noneOf(DialectVersion.class);
        for (final DialectVersion ver : values()) {

            if ((min != null && !ver.atLeast(min)) || (max != null && !ver.atMost(max))) {
                continue;
            }

            vers.add(ver);
        }
        return vers;
    }

  /*
   * TODO: Make this a drop-in replacement for j.u. versions, actually drop them in, and test the
   * world. Figure out what sort of space-time tradeoff we're actually going to get here with the
   * *Map variants. This class is particularly hard to benchmark, because the benefit is not only in
   * less allocation, but also having the GC do less work to scan the heap because of fewer

    @Timeout(value = 1, unit = TimeUnit.SECONDS) // Very short timeout
    void testBroadcastTimeout() {
        // Configure for broadcast-only resolution with very short timeout
        when(mockConfig.getResolveOrder()).thenReturn(Arrays.asList(ResolverType.RESOLVER_BCAST));
        when(mockConfig.getNetbiosSoTimeout()).thenReturn(50); // Very short
        when(mockConfig.getNetbiosRetryCount()).thenReturn(1);

 *       hand, is multiple-use, and does implement {@link Iterable}.
 *   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.

 *       hand, is multiple-use, and does implement {@link Iterable}.
 *   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.

        String result = purgeLogJob.execute();

        // Assert all services were called
        assertTrue(deleteCrawlingInfoCalled[0]);
        assertTrue(deleteSearchLogCalled[0]);
        assertTrue(deleteJobLogCalled[0]);
        assertTrue(deleteUserInfoCalled[0]);
        assertTrue(updateJobLogStatusCalled[0]);

        // Assert correct parameters were passed - verify that time passed is greater than 0

   * absent, it will fall back to a heavyweight operation that will open a stream, read (or {@link
   * InputStream#skip(long) skip}, if possible) to the end of the stream and return the total number
   * of bytes that were read.
   *
   * <p>Note that for some sources that implement {@link #sizeIfKnown} to provide a more efficient
   * implementation, it is <i>possible</i> that this method will return a different number of bytes

    * Old behavior:
      * environment variables explicitly whitelisted via --docker-env-metadata-whitelist were exported as `container_env_*=*`. Default is zero so by default non were exported
      * all docker labels were exported as `container_label_*=*`
    * New behavior:
      * Only `container_name`, `pod_name`, `namespace`, `id`, `image`, and `name` labels are exposed