Y como la mayor parte del tiempo de ejecución se dedica al trabajo real (en lugar de esperar), y el trabajo en una computadora lo realiza una <abbr title="Central Processing Unit">CPU</abbr>, llaman a estos problemas "CPU bound".

---

Ejemplos comunes de operaciones limitadas por la CPU son cosas que requieren procesamiento matemático complejo.

Por ejemplo:

* **Procesamiento de audio** o **imágenes**.

And it generates OpenAPI schemas.

That's how it works in Flask, Starlette, Responder, etc.

But then, we have again the problem of having a micro-syntax, inside of a Python string (a big YAML).

			return true, true, errLegacyXLMeta
		}
		if !latestMeta.Equals(meta) {
			return true, true, errOutdatedXLMeta
		}
		if !meta.Deleted && !meta.IsRemote() {
			// If xl.meta was read fine but there may be problem with the part.N files.
			for _, partErr := range partsErrs {
				if partErr == checkPartFileNotFound {
					return true, false, errPartMissing
				}
				if partErr == checkPartFileCorrupt {

   * GWT has a bug: It refuses to copy from an E[] to an Object[] when E is an
   * interface type.
   */
  // TODO: test other collections for this problem
  public void testOf_gwtArraycopyBug() {
    /*
     * The test requires:
     *
     * 1) An interface I extending Comparable<I> so that the created array is of

    assertThat(server.takeRequest().exchangeIndex).isEqualTo(1) // New connection.
  }

  /**
   * We had a bug where we'd perform infinite retries of route that fail with connection shutdown
   * errors. The problem was that the logic that decided whether to reuse a route didn't track
   * certain HTTP/2 errors. https://github.com/square/okhttp/issues/5547
   */
  @ParameterizedTest
  @ArgumentsSource(ProtocolParamProvider::class)

This means that you can install the new Pydantic v2, and if something fails, you can install Pydantic v1 while you fix any problems you might have, but having the latest FastAPI.

There are **tests for both Pydantic v1 and v2**, and test **coverage** is kept at **100%**.

### Changes

Et comme la plupart du temps d'exécution est pris par du "vrai" travail (et non de l'attente), et que le travail dans un ordinateur est fait par un <abbr title="Central Processing Unit">CPU</abbr>, ce sont des problèmes dits "CPU bound".

---

Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes.

Par exemple :

* Traitements d'**audio** et d'**images**.

- Azure: check the nil error before invoke err.Error() ([#96623](https://github.com/kubernetes/kubernetes/pull/96623), [@nilo19](https://github.com/nilo19)) [SIG Cloud Provider]
- Bump node-problem-detector version to v0.8.5 to fix OOM detection in with Linux kernels 5.1+ ([#96716](https://github.com/kubernetes/kubernetes/pull/96716), [@tosi3k](https://github.com/tosi3k)) [SIG Cloud Provider, Scalability and Testing]

                || this.sbuf[7] != (byte) 'B') {
            throw new IOException("Houston we have a synchronization problem");
        }

        int nextCommand = Encdec.dec_uint32le(this.sbuf, 4 + 20);
        final int maximumBufferSize = getContext().getConfig().getMaximumBufferSize();

   * iterators that don't support remove, passing one to the FilteredEntryMultimap constructor would
   * lead to a multimap whose removal operations would fail. This method combines the predicates to
   * avoid that problem.
   */
  private static <K extends @Nullable Object, V extends @Nullable Object>
      Multimap<K, V> filterFiltered(
          FilteredMultimap<K, V> multimap, Predicate<? super Entry<K, V>> entryPredicate) {