The `string()` method on response body is convenient and efficient for small documents. But if the response body is large (greater than 1 MiB), avoid `string()` because it will load the entire document into memory. In that case, prefer to process the body as a stream.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

      fun run() {

  # SDK API level, as the NDK API level is effectively the *min* target SDK
  # version.
  meta = open(os.path.join(android_ndk_home_path, 'meta/platforms.json'))
  platforms = json.load(meta)
  meta.close()
  aliases = platforms['aliases']
  api_levels = sorted(list(set([aliases[i] for i in aliases])))

  android_ndk_api_level = prompt_loop_or_load_from_env(
      environ_cp,

unauthenticated. The mitigation may be enabled by setting the `UnauthenticatedHTTP2DOSMitigation` feature gate to `true` (it is disabled by default). An API server fronted by an L7 load balancer that already mitigates these http/2 attacks may choose not to enable the kube-apiserver mitigation to avoid disrupting load balancer → kube-apiserver connections if http/2 requests from multiple clients share the same backend connection. An API server on a private network may choose not to enable the kube-apiserver...

  ASSERT_EQ(TF_OK, TF_GetCode(s.get())) << TF_Message(s.get());
  ASSERT_NE(*func, nullptr);
}

REGISTER_OP("CustomOp")
    .Output("output: float32")
    .Attr("index: int")
    .SetShapeFn(tensorflow::shape_inference::UnknownShape);

void NodeWithPlaceholderAttrHelper(TF_Graph* graph, TF_Status* s,

'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`)...

		_, ok1 := err.(BucketExists)
		_, ok2 := err.(BucketAlreadyExists)
		if !ok1 && !ok2 {
			return wrapSRErr(c.annotateErr(makeBucketWithVersion, err))
		}
	} else {
		// Load updated bucket metadata into memory as new
		// bucket was created.
		globalNotificationSys.LoadBucketMetadata(GlobalContext, bucket)
	}

	meta, err := globalBucketMetadataSys.Get(bucket)
	if err != nil {

	//Move vector element to vector.
	VMOVQ		V1.B[3], V9.B16 // 298cf772
	VMOVQ		V2.H[2], V8.H8  // 48c8f772
	VMOVQ		V3.W[1], V7.W4  // 67e4f772
	VMOVQ		V4.V[0], V6.V2  // 86f0f772

	// Load data from memory and broadcast to each element of a vector register: VMOVQ    offset(Rj), <Vd>.<T>
	VMOVQ		(R4), V0.B16	// 80008030
	VMOVQ		1(R4), V0.B16	// 80048030
	VMOVQ		-3(R4), V0.B16	// 80f4bf30

├── app
│   ├── __init__.py
│   └── main.py
├── Dockerfile
└── requirements.txt
```

#### Por Trás de um Proxy de Terminação TLS

Se você está executando seu contêiner atrás de um Proxy de Terminação TLS (load balancer) como Nginx ou Traefik, adicione a opção `--proxy-headers`, isso fará com que o Uvicorn confie nos cabeçalhos enviados por esse proxy, informando que o aplicativo está sendo executado atrás do HTTPS, etc.

```Dockerfile

   ([#121946](https://github.com/kubernetes/kubernetes/pull/121946), [@liggitt](https://github.com/liggitt))

     */
    public PersistentHandleManager getPersistentHandleManager() {
        return persistentHandleManager;
    }

    /**
     * Select transport for the given message using multi-channel load balancing
     *
     * @param message message to send
     * @return selected transport
     */
    public SmbTransportImpl selectTransport(CommonServerMessageBlockRequest message) {