val fileSystem: FileSystem = FileSystem.RESOURCES,
) {
  /** True after we've attempted to read the list for the first time. */
  private val listRead = AtomicBoolean(false)

  /** Used for concurrent threads reading the list for the first time. */
  private val readCompleteLatch = CountDownLatch(1)

  // The lists are held as a large array of UTF-8 bytes. This is to avoid allocating lots of strings

 *   ... // Handle the failure.
 *   }
 * });
 * ```
 *
 * These examples will not work if you're consuming the response body on another thread. In such
 * cases the consuming thread must call [close] when it has finished reading the response
 * body.
 *
 * ### The response body can be consumed only once.
 *
 * This class may be used to stream very large responses. For example, it is possible to use this

       * use the `endpoint` field, compareTo() and endpoint(). Additionally, the main implementation
       * of Cut.compareTo checks for belowAll before reading accessing `endpoint` on another Cut
       * instance.
       */
      super("");
    }

    @Override
    Comparable<?> endpoint() {
      throw new IllegalStateException("range unbounded on this side");

  /**
   * Handles cases of updates involving initialization, resizing, creating new Cells, and/or
   * contention. See above for explanation. This method suffers the usual non-modularity problems of
   * optimistic retry code, relying on rechecked sets of reads.
   *
   * @param x the value
   * @param hc the hash code holder
   * @param wasUncontended false if CAS failed before call
   */

// [io.ByteScanner], and [io.RuneScanner] interfaces by reading from
// a byte slice.
// Unlike a [Buffer], a Reader is read-only and supports seeking.
// The zero value for Reader operates like a Reader of an empty slice.
type Reader struct {
	s        []byte
	i        int64 // current reading index
	prevRune int   // index of previous rune; or < 0
}

		// If we resume to the same bucket, forward to last known item.
		b := tracker.getBucket()
		if b == bucket {
			forwardTo = tracker.getObject()
		}
		if b != "" {
			// Reset to where last bucket ended if resuming.
			tracker.resume()
		}
		tracker.setObject("")
		tracker.setBucket(bucket)
		// Heal current bucket again in case if it is failed
		// in the beginning of erasure set healing

	}
	testFileMode(t, f, wt.Mode)
	rc, err := f.Open()
	if err != nil {
		t.Fatalf("opening %s: %v", f.Name, err)
	}
	b, err := io.ReadAll(rc)
	if err != nil {
		t.Fatalf("reading %s: %v", f.Name, err)
	}
	err = rc.Close()
	if err != nil {
		t.Fatalf("closing %s: %v", f.Name, err)
	}
	if !bytes.Equal(b, wt.Data) {
		t.Errorf("File contents %q, want %q", b, wt.Data)
	}
}

        this(new SmbFile(url, tc), 0, SmbConstants.O_RDONLY, SmbConstants.DEFAULT_SHARING, true);
    }


    /**
     * Creates an {@link java.io.InputStream} for reading bytes from a file on
     * an SMB server represented by the {@link jcifs.smb.SmbFile} parameter. See
     * {@link jcifs.smb.SmbFile} for a detailed description and examples of
     * the smb URL syntax.
     *

}

// Target - Kafka target.
type Target struct {
	status int32

	totalMessages  int64
	failedMessages int64

	wg sync.WaitGroup

	// Channel of log entries.
	// Reading logCh must hold read lock on logChMu (to avoid read race)
	// Sending a value on logCh must hold read lock on logChMu (to avoid closing)
	logCh   chan interface{}
	logChMu sync.RWMutex

    partial batches. Workers running out of data now continue to participate in
    the training with empty inputs, instead of raising an error. Learn more
    about
    [partial batches here](https://www.tensorflow.org/tutorials/distribute/input#partial_batches).
*   Improve the performance of reading metrics eagerly under
    `tf.distribute.experimental.MultiWorkerMirroredStrategy`.