entry.dfs_name = "consistent_share_" + i;
            testArray.s[i] = entry;
        }

        setDfsEnumArray(dfsRootEnum, testArray);

        // Call getEntries multiple times
        FileEntry[] entries1 = dfsRootEnum.getEntries();
        FileEntry[] entries2 = dfsRootEnum.getEntries();
        FileEntry[] entries3 = dfsRootEnum.getEntries();

        // Verify consistency

    this.supportsFastOffset = supportsFastOffset;
  }

  /**
   * Returns, conceptually, "origin + distance", or equivalently, the result of calling {@link
   * #next} on {@code origin} {@code distance} times.
   */
  C offset(C origin, long distance) {
    C current = origin;
    checkNonnegative(distance, "distance");
    for (long i = 0; i < distance; i++) {
      current = next(current);

                if (d == value) {
                    return true;
                }
            }
            return false;
        }

        /**
         * Compares two times.
         *
         * @param h1 the first hour
         * @param m1 the first minute
         * @param h2 the second hour
         * @param m2 the second minute

        assertEquals("https://example.com/head", data3.getUrl());
    }

    public void test_buildMultipleTimes() {
        // Test that context can be used to build multiple times
        RequestDataBuilder.RequestDataContext context = RequestDataBuilder.newRequestData().get().url("https://example.com");

        RequestData data1 = context.build();
        RequestData data2 = context.build();

 * </ul>
 *
 * <p>The one downside of {@code Stopwatch} relative to {@link System#nanoTime()} is that {@code
 * Stopwatch} requires object allocation and additional method calls, which can reduce the accuracy
 * of the elapsed times reported. {@code Stopwatch} is still suitable for logging and metrics where
 * reasonably accurate values are sufficient. If the uncommon case that you need to maximize
 * accuracy, use {@code System.nanoTime()} directly instead.
 *

func (p *scannerMetrics) incTime(s scannerMetric, d time.Duration) {
	atomic.AddUint64(&p.operations[s], 1)
	if s < scannerMetricLastRealtime {
		p.latency[s].add(d)
	}
}

// timeILM times an ILM action.
// lifecycle.NoneAction is ignored.
// Use for s < scannerMetricLastRealtime
func (p *scannerMetrics) timeILM(a lifecycle.Action) func(versions uint64) {

    So, it's important to put this **near the end** of the `Dockerfile`, to optimize the container image build times.

6. Set the **command** to use `fastapi run`, which uses Uvicorn underneath.

    `CMD` takes a list of strings, each of these strings is what you would type in the command line separated by spaces.

* <a href="https://developers.liblab.com/tutorials/sdk-for-fastapi?utm_source=fastapi" class="external-link" target="_blank">liblab</a>

Some of these solutions may also be open source or offer free tiers, so you can try them without a financial commitment. Other commercial SDK generators are available and can be found online. 🤓

## Create a TypeScript SDK { #create-a-typescript-sdk }

        TestComponent component = new TestComponent();
        PooledObject<TestComponent> pooled1 = factory.wrap(component);
        assertNotNull(pooled1);

        // Test wrapping same object multiple times
        PooledObject<TestComponent> pooled2 = factory.wrap(component);
        assertNotNull(pooled2);
        assertNotSame(pooled1, pooled2); // Different PooledObject instances

   * share the same connection without sharing the same hostname.
   */
  private var noCoalescedConnections = false

  /**
   * The number of times there was a problem establishing a stream that could be due to route
   * chosen. Guarded by this.
   */
  internal var routeFailureCount = 0

  private var successCount = 0
  private var refusedStreamCount = 0