SkipRebalancing:   true, // make sure we skip the decommissioned pool
							NoAuditLog:        true,
						})
					// This can happen when rebalance stop races with ongoing rebalance workers.
					// These rebalance failures can be ignored.
					if err != nil {
						// This can happen when rebalance stop races with ongoing rebalance workers.
						// These rebalance failures can be ignored.

        SmbTreeConnectionTrace wrapper = new SmbTreeConnectionTrace(delegate);
        wrapper.acquire();
        wrapper.release();

        // Assert: delegate interactions occur when usage transitions happen
        verify(delegate, times(1)).acquire();
        verify(delegate, times(1)).release();
    }

    @Test
    @DisplayName("finalize() invokes checkRelease exactly once")

    Runnable task =
        () -> {
          do {
            // We can't have a GOLDEN_NOT_PRESENT_KEY because false positives are
            // possible! It's false negatives that can't happen.
            assertThat(bloomFilter.mightContain(GOLDEN_PRESENT_KEY)).isTrue();

            int key = getNonGoldenRandomKey();
            // We can't check that the key is mightContain() == false before the

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

/// tip | Astuce

En ajoutant `standard`, Uvicorn va installer et utiliser quelques dépendances supplémentaires recommandées.

Cela inclut `uvloop`, le remplaçant hautes performances de `asyncio`, qui fournit le gros gain de performance en matière de concurrence.

Lorsque vous installez FastAPI avec quelque chose comme `pip install "fastapi[standard]"`, vous obtenez déjà `uvicorn[standard]` aussi.

Since HTTP requests frequently happen in parallel, connection pooling must be thread-safe.

These are the primary classes involved with establishing, sharing, and terminating connections:

    try {
      in.copyTo(out);
      fail();
    } catch (IOException expected) {
      return expected.getSuppressed().length;
    }
    throw new AssertionError(); // can't happen
  }

  private static CharSource newNormalCharSource() {
    return CharSource.wrap("ABC");
  }

  private static CharSink newNormalCharSink() {
    return new CharSink() {
      @Override

```Python
contents = myfile.file.read()
```

/// note | Détails techniques `async`

Lorsque vous utilisez les méthodes `async`, **FastAPI** exécute les méthodes de fichier dans un pool de threads et les attend.

///

/// note | Détails techniques Starlette

		key := msgPath(fmt.Sprintf("%s.%s.", bucket, domainName), c.prefixPath)
		records, err := c.list(key, false)
		if err != nil {
			return nil, err
		}
		// Make sure we have record.Key is empty
		// this can only happen when record.Key
		// has bucket entry with exact prefix
		// match any record.Key which do not
		// match the prefixes we skip them.
		for _, record := range records {
			if record.Key != "" {
				continue
			}

    } catch (UncheckedExecutionException e) {
      if (e.getCause() instanceof IllegalArgumentException) {
        /*
         * IllegalArgumentException is the one unchecked exception that we know is likely to happen
         * (thanks to the checkArgument calls in getAnnotatedMethodsNotCached). If it happens, we'd
         * prefer to propagate an IllegalArgumentException to the caller. However, we don't want to