}
	return
}

// collectFragments reads until the first occurrence of delim in the input. It
// returns (slice of full buffers, remaining bytes before delim, total number
// of bytes in the combined first two elements, error).
// The complete result is equal to
// `bytes.Join(append(fullBuffers, finalFragment), nil)`, which has a
// length of `totalLen`. The result is structured in this way to allow callers

    public Builder<K, V> orderValuesBy(Comparator<? super V> valueComparator) {
      this.valueComparator = checkNotNull(valueComparator);
      return this;
    }

    @CanIgnoreReturnValue
    Builder<K, V> combine(Builder<K, V> other) {
      if (other.builderMap != null) {
        for (Map.Entry<K, ImmutableCollection.Builder<V>> entry : other.builderMap.entrySet()) {
          putAll(entry.getKey(), entry.getValue().build());

            throw new IOException("Channel binding failed: " + response.getStatus());
        }
    }
    
    private byte[] calculateBindingInfo(ChannelInfo channel) {
        // Combine session key with channel-specific data
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        
        try {
            baos.write(session.getSessionKey());

        }
    }

    /**
     * Creates highlighted text from highlight field fragments.
     *
     * @param highlightField the highlight field containing fragments
     * @return the combined highlighted text
     */
    public String createHighlightText(final HighlightField highlightField) {
        final Text[] fragments = highlightField.fragments();
        if (fragments != null && fragments.length != 0) {

### Otras formas de código asíncrono

Este estilo de usar `async` y `await` es relativamente nuevo en el lenguaje.

Dada la simplicidad de Flask, parecía una buena opción para construir APIs. Lo siguiente a encontrar era un "Django REST Framework" para Flask.

/// check | Inspiró a **FastAPI** a

Ser un micro-framework. Haciendo fácil mezclar y combinar las herramientas y partes necesarias.

Tener un sistema de routing simple y fácil de usar.

///

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>

   * 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(

   * 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(

        ":with_tpu_support_define",
        ":with_tpu_support_flag",
    ],
    visibility = ["//visibility:public"],
)

# Specifies via a config setting if this is a mobile build or not, makes
# it easier to combine settings later.
selects.config_setting_group(
    name = "mobile",
    match_any = [
        ":android",
        ":chromiumos",

* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

By using a pre-made container image it's very easy to **combine** and use different tools. For example, to try out a new database. In most cases, you can use the **official images**, and just configure them with environment variables.