}

    /**
     * Creates a new Maven-like repository system session by initializing the session with values typical for
     * Maven-based resolution. In more detail, this method configures settings relevant for the processing of dependency
     * graphs, most other settings remain at their generic default value. Use the various setters to further configure

 *
 *  * **Canceled:** the web socket connection failed. Messages that were successfully enqueued by
 *    either peer may not have been transmitted to the other.
 *
 * Note that the state progression is independent for each peer. Arriving at a gracefully-closed
 * state indicates that a peer has sent all of its outgoing messages and received all of its

                    systemHelper.waitForNoWaitingThreads();

                    intervalControlHelper.delayByRules();

                    if (logger.isDebugEnabled()) {
                        logger.debug("Processing documents in IndexUpdater queue.");
                    }

                    updateTime = systemHelper.getCurrentTimeAsLong();

                    List<EsAccessResult> arList = getAccessResultList(cb, cleanupTime);

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```
cd /usr/hdp/current/spark2-client
su spark
```

		if err != nil {
			continue
		}
		err = loadMRF(rc, m.opCh)
		if err != nil {
			continue
		}
		// finally delete the file after processing mrf entries
		localDrive.Delete(GlobalContext, minioMetaBucket, pathJoin(healMRFDir, "list.bin"), DeleteOptions{})
		break
	}

	return
}

var healSleeper = newDynamicSleeper(5, time.Second, false)

  }

  /**
   * Process the next event. This will result in a single call to [Callback.onEvent] *unless* the
   * data section was empty. Any number of calls to [Callback.onRetryChange] may occur while
   * processing an event.
   *
   * @return false when EOF is reached
   */
  @Throws(IOException::class)
  fun processNextEvent(): Boolean {
    var id = lastId
    var type: String? = null
    val data = Buffer()

			return
		}
		received := string(b)
		if received != "message one\n" {
			t.Errorf(`server: expected: "message one\n", got: %v`, received)
			return
		}

		// Wait for more than read timeout to simulate processing.
		time.Sleep(3 * time.Second)

		_, terr = deadlineconn.Read(b)
		if terr != nil {
			t.Errorf("failed to read from client. %v", terr)
			return
		}
		received = string(b)
		if received != "message two\n" {

   * @param charset the charset used to decode the input stream; see {@link StandardCharsets} for
   *     helpful predefined constants
   * @param callback the LineProcessor to use to handle the lines
   * @return the output of processing the lines
   * @throws IOException if an I/O error occurs
   */
  @CanIgnoreReturnValue // some processors won't return a useful result
  @ParametricNullness
  public static <T extends @Nullable Object> T readLines(

that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations...

  PrimitiveSink putUnencodedChars(CharSequence charSequence);

  /**
   * Puts a string into this sink using the given charset.
   *
   * <p><b>Warning:</b> This method, which reencodes the input before processing it, is useful only
   * for cross-language compatibility. For other use cases, prefer {@link #putUnencodedChars}, which
   * is faster, produces the same output across Java releases, and processes every {@code char} in