Aceitamos pull requests para o seu idioma.

## Desenvolvido por

* [Lasta Di](https://github.com/lastaflute/lasta-di "Lasta Di"): Contêiner DI
* [LastaFlute](https://github.com/lastaflute/lastaflute "LastaFlute"): Framework Web

 * arbitrary Charset.
 *
 * <p>This is an alternative to copying the data to an {@code OutputStream} via a {@code Writer},
 * which is necessarily blocking. By implementing an {@code InputStream} it allows consumers to
 * "pull" as much data as they can handle, which is more convenient when dealing with flow
 * controlled, async APIs.
 *
 * @author Chris Nokleberg
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault

 * arbitrary Charset.
 *
 * <p>This is an alternative to copying the data to an {@code OutputStream} via a {@code Writer},
 * which is necessarily blocking. By implementing an {@code InputStream} it allows consumers to
 * "pull" as much data as they can handle, which is more convenient when dealing with flow
 * controlled, async APIs.
 *
 * @author Chris Nokleberg
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

## FastAPI People PRs

Every month, a GitHub Action updates the FastAPI People data. Those PRs look like this one: <a href="https://github.com/fastapi/fastapi/pull/11669" class="external-link" target="_blank">👥 Update FastAPI People</a>.

If the tests are passing, you can merge it right away.

## External Links PRs

    assertThat(dnsEnd.inetAddressList.size).isEqualTo(1)
  }

  @Test
  fun noDnsLookupOnPooledConnection() {
    server.enqueue(MockResponse())
    server.enqueue(MockResponse())

    // Seed the pool.
    val call1 =
      client.newCall(
        Request.Builder()
          .url(server.url("/"))
          .build(),
      )
    val response1 = call1.execute()
    assertThat(response1.code).isEqualTo(200)

		// Load any associated policy definitions
		pols, _ := newCache.iamUserPolicyMap.Load(accessKey)
		for _, policy := range pols.toSlice() {
			if _, found = newCache.iamPolicyDocsMap[policy]; !found {
				// NOTE: we are not worried about loading errors from policies.
				store.loadPolicyDocWithRetry(ctx, policy, newCache.iamPolicyDocsMap, 3)
			}
		}

    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

-   Different Python versions
-   Linux, MacOS, and Windows machines (these pool definitions are internal)
-   x86 and arm64
-   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs

## How to Test Your Changes to TensorFlow

You may check how your changes will affect TensorFlow by:

	locker := z.NewNSLock(minioMetaBucket, fmt.Sprintf("new-drive-healing/%d/%d", poolIdx, setIdx))
	lkctx, err := locker.GetLock(ctx, newDiskHealingTimeout)
	if err != nil {
		return fmt.Errorf("Healing of drive '%v' on %s pool, belonging to %s erasure set already in progress: %w",
			disk, humanize.Ordinal(poolIdx+1), humanize.Ordinal(setIdx+1), err)
	}
	ctx = lkctx.Context()
	defer locker.Unlock(lkctx)

This can help ensure that clients do not hold onto pooled connections for too long.
This is not strictly required; Ztunnel clients have both keepalives (which will start to fail once the other end is shut down) and pool idle timeouts (which will close the connection when it has had no activity for some period; because the backend is gone, there will be no activity).