final DOMParser parser = getDomParser();
        try (final BufferedInputStream bis = new BufferedInputStream(responseData.getResponseBody())) {
            final byte[] bomBytes = new byte[UTF8_BOM_SIZE];
            bis.mark(UTF8_BOM_SIZE);
            final int size = bis.read(bomBytes);
            if (size < 3 || !isUtf8BomBytes(bomBytes)) {
                bis.reset();
            }
            final InputSource is = new InputSource(bis);

 *  New: Make `ResponseBody.string()` and `ResponseBody.charStream()` BOM-aware. If your HTTP
    response body begins with a [byte order mark][bom] it will be consumed and used to select a
    charset for the remaining bytes. Most applications should not need a byte order mark.

 *  New: Upgrade to Okio 1.11.0.

     ```xml
     <dependency>
       <groupId>com.squareup.okio</groupId>

   * non-deterministic behavior at an undetermined time in the future.
   *
   * <p>Note that the fail-fast behavior of an iterator cannot be guaranteed as it is, generally
   * speaking, impossible to make any hard guarantees in the presence of unsynchronized concurrent
   * modification. Fail-fast iterators throw {@code ConcurrentModificationException} on a

// execution of newly issued ops.
//
// Note that outputs of discarded ops remain in a corrupt state and should not
// be used for future calls.
// TODO(agarwal): mark the affected handles and raise errors if they are used.
TF_CAPI_EXPORT extern void TFE_ExecutorClearError(TFE_Executor*);

// Sets a custom Executor for the current thread. All nodes created by this

---

Si simplemente no lo sabes, usa `def` normal.

---

**Nota**: puedes mezclar `def` y `async def` en tus *path operation functions* tanto como lo necesites y definir cada una utilizando la mejor opción para ti. FastAPI hará lo correcto con ellos.

De todos modos, en cualquiera de los casos anteriores, FastAPI seguirá funcionando de forma asíncrona y será extremadamente rápido.

edgesuite-staging.net

// alboto.ca : http://alboto.ca
// Submitted by Anton Avramov <******@****.***>
barsy.ca

// Alces Software Ltd : http://alces-software.com
// Submitted by Mark J. Titorenko <mark******@****.***>
*.compute.estate
*.alces.network

// all-inkl.com : https://all-inkl.com
// Submitted by Werner Kaltofen <******@****.***>
kasserver.com

**available machines** taking into account the amount of memory needed by them, and the amount available in the machines in the cluster.

If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are consuming and adjust the **number of containers** that runs in **each machine** (and maybe add more machines...

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   *
   * <p><b>Performance note:</b> The resulting stream is not <a
   * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>.
   * This may harm parallel performance.
   */
  @Beta
  public static <A extends @Nullable Object, B extends @Nullable Object, R extends @Nullable Object>
      Stream<R> zip(