* @param outputFile the file where the processed thumbnail will be saved
     * @return the result of the image processing operation
     * @throws IOException if an error occurs during image reading or writing operations
     */
    protected Result saveImage(final ImageInputStream input, final File outputFile) throws IOException {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

	// Total Replica received
	ReplicaCount int64                `json:"replicaCount"`
	M            map[string]*SRStatus `json:"srStatusMap"`

	movingAvgTicker *time.Ticker // Ticker for calculating moving averages
	lock            sync.RWMutex // mutex for srStats
}

// SRStatus has replication stats at deployment level
type SRStatus struct {
	ReplicatedSize int64 `json:"completedReplicationSize"`

   *       to lead to trouble than an incompatible change would be.
   *   <li>We could make {@link #countMap} no longer be {@code final}. Then we could write to it
   *       directly during deserialization. However, we would lose Java's guarantees for {@code
   *       final} fields, including that their values are guaranteed to be visible even when an
   *       instance is unsafely published.
   * </ul>
   */

		Recursive: false,
		Immediate: false,
	})
	if err != nil {
		t.Errorf("Failure during deleting part.1 - %v", err)
	}

	err = firstDisk.WriteAll(t.Context(), bucket, pathJoin(object, fi.DataDir, "part.1"), []byte{})
	if err != nil {
		t.Errorf("Failure during creating part.1 - %v", err)
	}

            .withFeatures(CollectionSize.ANY, CollectionFeature.GENERAL_PURPOSE)
            .createTestSuite());
    return suite;
  }

  // Overkill alert!  Test all combinations of 0-2 options during creation.

  public void testCreation_simple() {
    MinMaxPriorityQueue<Integer> queue = MinMaxPriorityQueue.create();
    assertEquals(11, queue.capacity());
    checkUnbounded(queue);
    checkNatural(queue);
  }

/// info

Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models.

If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}.

///

## Run it { #run-it }

After that, you just need to install `pytest`.

		// writes an error in JSON form to stderr, if we cannot
		// compress.
		if err := w.compress(); err != nil {
			msg := fmt.Sprintf("unable to compress log file %v: %v, ignoring and moving on", w.f.Name(), err)
			stdErrEnc.Encode(&log.Entry{
				Level:   ErrorKind,
				Message: msg,
				Time:    time.Now().UTC(),
				Trace:   &log.Trace{Message: msg},
			})
		}
	}

        // This would need to be implemented based on how the SMB operations
        // handle asynchronous failures in the actual transport implementation
        log.debug("Operation failed during redistribution: {}", error.getMessage());
    }

    private void scheduleRecovery(ChannelInfo channel, FailoverState state) {
        state.incrementRetry();

      "ConnectionAcquired",
      "ConnectionReleased",
    )
  }

  @Test
  fun proxyMoveTest(cleanClose: Boolean = true) {
    // Define a single Proxy at myproxy:8008 that will artificially move during the test
    val proxySelector = RecordingProxySelector()
    val socketAddress = InetSocketAddress.createUnresolved("myproxy", 8008)
    proxySelector.proxies.add(Proxy(Proxy.Type.HTTP, socketAddress))

  * You can find out what taints you have in place on a node while you are still running Kubernetes 1.5 by doing `kubectl describe node <node name>`; the `Taints` section will show the taints you have in place. To see the taints that were created under 1.5 when you are running 1.6, do `kubectl get node <node name> -o yaml` and look for the "Annotation" section...