Now we create a `HeroCreate` model, this is the one that will **validate** the data from the clients.

It has the same fields as `HeroBase`, and it also has `secret_name`.

Now, when the clients **create a new hero**, they will send the `secret_name`, it will be stored in the database, but those secret names won't be returned in the API to the clients.

/// tip

This is how you would handle **passwords**. Receive them, but don't return them in the API.

 * <li>TOKEN_PARAMTERS - The parameters to include in the token request.</li>
 * <li>LOGIN_METHOD - The HTTP method to use for the login request (GET or POST).</li>
 * <li>LOGIN_URL - The URL to send the login request to.</li>
 * <li>LOGIN_PARAMETERS - The parameters to include in the login request.</li>
 * </ul>
 *
 */
public class FormScheme implements AuthScheme {

    @Override
    public void close() {}

    @Override
    public String toString() {
      return "CharStreams.nullWriter()";
    }
  }

  /**
   * Returns a Writer that sends all output to the given {@link Appendable} target. Closing the
   * writer will close the target if it is {@link Closeable}, and flushing the writer will flush the
   * target if it is {@link java.io.Flushable}.
   *

/// tip

Keep in mind that JSON only supports `str` as keys.

But Pydantic has automatic data conversion.

This means that, even though your API clients can only send strings as keys, as long as those strings contain pure integers, Pydantic will convert them and validate them.

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

Em contraste com a "**imagem de contêiner**" que contém os conteúdos estáticos armazenados, um "**contêiner**" normalmente se refere à instância rodando, a coisa que está sendo **executada**.

 * <ul>
 * <li>Retrieves crawled documents from the data service</li>
 * <li>Transforms document data using appropriate transformers</li>
 * <li>Applies document boosting rules and click/favorite count enhancements</li>
 * <li>Sends processed documents to the search engine for indexing</li>
 * <li>Manages cleanup of processed crawler session data</li>
 * </ul>
 *
 * <p>The updater runs continuously until crawling is finished and all documents are processed.

   */
  public void assertPriorCallReturns(boolean expected, @Nullable String methodName)
      throws Exception {
    assertEquals(expected, getResponse(methodName).getResult());
  }

  /**
   * Sends the given method call to this thread.
   *
   * @throws TimeoutException if this thread does not accept the request within a reasonable amount
   *     of time
   */

                    // For now, this is a placeholder that simulates monitoring

                    // In a real implementation, we would:
                    // 1. Send SMB2 Change Notify request
                    // 2. Wait for response
                    // 3. Process changes
                    // 4. Notify the lease manager

    /** If [e] is non-null, this will return a non-null value. */
    fun complete(e: IOException?): IOException? {
      if (completed) return e
      completed = true
      // If the body is closed without reading any bytes send a responseBodyStart() now.
      if (e == null && invokeStartEvent) {
        invokeStartEvent = false
        call.eventListener.responseBodyStart(call)
      }
      return bodyComplete(

computador / programa não tem que ser "sincronizado" com a tarefa lenta, esperando pelo momento exato em que a tarefa finaliza, enquanto não faz nada, para ser capaz de pegar o resultado da tarefa e dar continuidade ao trabalho.

Ao invés disso, sendo um sistema "assíncrono", uma vez finalizada, a tarefa pode esperar na fila um pouco (alguns microssegundos) para que o computador / programa finalize o que quer que esteja fazendo, e então volte para pegar o resultado e continue trabalhando com ele....