<span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Waiting for application startup.
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Application startup complete.
```

</div>

El programa de línea de comandos llamado `fastapi` es **FastAPI CLI**.

Use MockWebServer the same way that you use mocking frameworks like
[Mockito](https://github.com/mockito/mockito):

1. Script the mocks.
2. Run application code.
3. Verify that the expected requests were made.

Here's a complete example:

### Java
```java
public void test() throws Exception {
  // Create a MockWebServer. These are lean enough that you can create a new
  // instance for every unit test.

    }

    @Test
    void testCompleteWireFormatRoundTrip() {
        trans2QueryPathInfo = new Trans2QueryPathInformation(config, TEST_FILENAME, TEST_INFO_LEVEL);

        // Test complete wire format writing
        byte[] setupBuffer = new byte[256];
        byte[] paramBuffer = new byte[512];
        byte[] dataBuffer = new byte[256];

   * during {@code Executor.execute} (e.g., a {@code RejectedExecutionException}) will be caught and
   * logged.
   *
   * @param listener the listener to run when the service changes state is complete
   * @param executor the executor in which the listeners callback methods will be run. For fast,
   *     lightweight listeners that would be safe to execute in any thread, consider {@link
   *     MoreExecutors#directExecutor}.

        assertEquals(0, info.getCapacity());
        assertEquals(0, info.getFree());
    }

    @Test
    void testReadDataWireFormat_BufferTooSmall() throws Exception {
        // Test with buffer too small for complete data
        response = new Trans2QueryFSInformationResponse(config, FileSystemInformation.SMB_INFO_ALLOCATION);

        byte[] buffer = new byte[10]; // Too small for SmbInfoAllocation

        // Set dataCount

 *   <li>Thread Creation: Creates a group of crawler threads to perform the actual crawling.</li>
 *   <li>Execution: Starts the crawler threads and waits for them to complete.</li>
 *   <li>Cleanup: Deletes the crawled data and clears the URL filter.</li>
 * </ol>
 *
 * <p>The crawler can be configured with various parameters, such as the number of threads,

- **দ্রুত কোড করা**:বৈশিষ্ট্য তৈরির গতি ২০০% থেকে ৩০০% বৃদ্ধি করে৷ \*
- **স্বল্প bugs**: মানুব (ডেভেলপার) সৃষ্ট ত্রুটির প্রায় ৪০% হ্রাস করে। \*
- **স্বজ্ঞাত**: দুর্দান্ত এডিটর সাহায্য <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> নামেও পরিচিত। দ্রুত ডিবাগ করা যায়।

- **সহজ**: এটি এমন ভাবে সজানো হয়েছে যেন নির্দেশিকা নথি পড়ে সহজে শেখা এবং ব্যবহার করা যায়।

* **Kevesebb hiba**: Körülbelül 40%-al csökkenti az emberi (fejlesztői) hibák számát. *
* **Intuitív**: Kiváló szerkesztő támogatás. <abbr title="más néven auto-complete, autocompletion, IntelliSense">Kiegészítés</abbr> mindenhol. Kevesebb hibakereséssel töltött idő.
* **Egyszerű**: Egyszerű tanulásra és használatra tervezve. Kevesebb dokumentáció olvasással töltött idő.

		select {
		case <-ctx.Done():
		case expireCh <- toDel:
		}
	}
	xioutil.SafeClose(expireCh)

	<-expireDoneCh // waits for the expire goroutine to complete
	wk.Wait()      // waits for all expire workers to retire

	ri.Complete = !failed && ri.ObjectsFailed == 0
	ri.Failed = failed || ri.ObjectsFailed > 0
	globalBatchJobsMetrics.save(job.ID, ri)

   *
   * The target execution time is implemented on a best-effort basis. If another task in this queue
   * is running when that time is reached, that task is allowed to complete before this task is
   * started. Similarly the task will be delayed if the host lacks compute resources.
   *
   * @throws RejectedExecutionException if the queue is shut down and the task is not cancelable.
   */