// Verify reserved section is zero
            assertEquals(0, SMBUtil.readInt4(buffer, 20));
        }

        @Test
        @DisplayName("Should handle multiple sequential encodings")
        void testMultipleSequentialEncodings() {
            // Given
            SrvCopychunk chunk1 = new SrvCopychunk(100, 200, 300);
            SrvCopychunk chunk2 = new SrvCopychunk(400, 500, 600);

    }

    @Test
    @DisplayName("EmptyIterator should behave consistently across multiple calls")
    void testConsistentBehavior() {
        // When & Then - test multiple sequential calls
        for (int i = 0; i < 10; i++) {
            assertFalse(emptyIterator.hasNext(), "hasNext should consistently return false");
            assertNull(emptyIterator.next(), "next should consistently return null");

 * methods, like stream(Iterable), we have to rely on users not to call them without library
 * desugaring.
 */
@IgnoreJRERequirement
public final class Streams {
  /**
   * Returns a sequential {@link Stream} of the contents of {@code iterable}, delegating to {@link
   * Collection#stream} if possible.
   */
  public static <T extends @Nullable Object> Stream<T> stream(Iterable<T> iterable) {

This step is repeated until all packages are initialized.
</p>

<p>
Package initialization&mdash;variable initialization and the invocation of
<code>init</code> functions&mdash;happens in a single goroutine,
sequentially, one package at a time.
An <code>init</code> function may launch other goroutines, which can run
concurrently with the initialization code. However, initialization
always sequences

                    }
                    return transform(fromList, removeFirst);
                  }
                })
            .named("Lists.transform, sequential access, no nulls")
            .withFeatures(
                CollectionSize.ANY,
                ListFeature.REMOVE_OPERATIONS,
                CollectionFeature.SERIALIZABLE,

      "FINE: Q10000 starting              : task",
      "FINE: Q10000 finished run in   0 µs: task",
    )
  }

  /** Inspect how many runnables have been enqueued. If none then we're truly sequential. */
  @Test fun singleQueueIsSerial() {
    redQueue.execute("task one", 100.µs) {
      log += "one:run@${taskFaker.nanoTime} parallel=${taskFaker.isParallel}"
    }

    redQueue.execute("task two", 100.µs) {

// large to fit in the [Scanner.Buffer]. When a scan stops, the reader may have
// advanced arbitrarily far past the last token. Programs that need more
// control over error handling or large tokens, or must run sequential scans
// on a reader, should use [bufio.Reader] instead.
type Scanner struct {
	r            io.Reader // The reader provided by the client.
	split        SplitFunc // The function to split the tokens.

            assertEquals((byte) (i % 256), buffer[i], "Buffer after written data should be unchanged");
        }
    }

    @Test
    @DisplayName("Test multiple sequential writes")
    void testMultipleSequentialWrites() {
        trans2QueryFSInfo = new Trans2QueryFSInformation(config, FileSystemInformation.FS_SIZE_INFO);

        byte[] buffer = new byte[512];
        int offset = 0;

        instead of YAML, or, a better alternative, serialize to H5.

## Known Caveats

*   TF Core:
    *   A longstanding bug in `tf.while_loop`, which caused it to execute
        sequentially, even when `parallel_iterations>1`, has now been fixed.
        However, the increased parallelism may result in increased memory use.
        Users who experience unwanted regressions should reset their

    /**
     * Write operations go directly to persistent storage
     */
    public static final int FILE_WRITE_THROUGH = 0x2;
    /**
     * Access to the file is sequential only
     */
    public static final int FILE_SEQUENTIAL_ONLY = 0x4;
    /**
     * File cannot be cached or buffered at intermediate levels
     */