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());

with which the Combined Work was made is also called the "Linked
Version".

  The "Minimal Corresponding Source" for a Combined Work means the
Corresponding Source for the Combined Work, excluding any source code
for portions of the Combined Work that, considered in isolation, are
based on the Application, and not on the Linked Version.

    }
    throw new IllegalArgumentException(
        lenientFormat("min (%s) must be less than or equal to max (%s)", min, max));
  }

  /**
   * Returns the values from each provided array combined into a single array. For example, {@code
   * concat(new double[] {a, b}, new double[] {}, new double[] {c}} returns the array {@code {a, b,
   * c}}.
   *
   * @param arrays zero or more {@code double} arrays

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>

    checkArgument(min <= max, "min (%s) must be less than or equal to max (%s)", min, max);
    return Math.min(Math.max(value, min), max);
  }

  /**
   * Returns the values from each provided array combined into a single array. For example, {@code
   * concat(new long[] {a, b}, new long[] {}, new long[] {c}} returns the array {@code {a, b, c}}.
   *
   * @param arrays zero or more {@code long} arrays

  private static final int TO_BYTE_ARRAY_DEQUE_SIZE = 20;

  /**
   * Returns a byte array containing the bytes from the buffers already in {@code bufs} (which have
   * a total combined length of {@code totalLen} bytes) followed by all bytes remaining in the given
   * input stream.
   */
  private static byte[] toByteArrayInternal(InputStream in, Queue<byte[]> bufs, int totalLen)
      throws IOException {

### Otras formas de código asíncrono

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

* <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.

   * 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(