If you look at it, *path operation functions* are declared to be used whenever a *path* and *operation* matches, and then **FastAPI** takes care of calling the function with the correct parameters, extracting the data from the request.

Actually, all (or most) of the web frameworks work in this same way.

You never call those functions directly. They are called by your framework (in this case, **FastAPI**).

Esto te dará soporte del editor dentro de tu función, con chequeo de errores, autocompletado, etc.

///

## <abbr title="también conocido como: serialización, parsing, marshalling">Conversión</abbr> de datos { #data-conversion }

Si ejecutas este ejemplo y abres tu navegador en <a href="http://127.0.0.1:8000/items/3" class="external-link" target="_blank">http://127.0.0.1:8000/items/3</a>, verás un response de:

```JSON
{"item_id":3}

   * response body. Call `body.source().request(1024 * 1024)` to block until either that's done, or
   * 1 MiB of response data is loaded into memory. (You could use any size here, though large values
   * risk exhausting memory.)
   *
   * This returns an empty value if the trailers are available, but have no data.
   *
   * It is not safe to call this concurrently with code that is processing the response body.
   *

</div>

{% endfor %}
{% endif %}

## About the data - technical details

The main intention of this page is to highlight the effort of the community to help others.

Especially including efforts that are normally less visible, and in many cases more arduous, like helping others with questions and reviewing Pull Requests with translations.

...e passar o que quer que isso retorne como valor da dependência em nossa *função de operação de rota* como o parâmetro `fixed_content_included`:

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[22] *}

/// tip | Dica

Tudo isso parece não ser natural. E pode não estar muito claro ou aparentar ser útil ainda.

Estes exemplos são intencionalmente simples, porém mostram como tudo funciona.

 * the columns. The reverse is also available, associating a column with a row key / value map. Note
 * that, in some implementations, data access by column key may have fewer supported operations or
 * worse performance than data access by row key.
 *
 * <p>The methods returning collections or maps always return views of the underlying table.

                    for (int i = 0; i < opsPerThread; i++) {
                        byte[] data = String.format("Thread%d-Op%d", threadId, i).getBytes();
                        byte[] encrypted = context.encryptMessage(data, threadId * 100L + i);
                        byte[] decrypted = context.decryptMessage(encrypted);
                        if (Arrays.equals(data, decrypted)) {
                            successCount.incrementAndGet();

      call: RealCall,
      e: IOException?,
    )

    fun noNewExchanges()

    fun cancel()
  }

  companion object {
    /**
     * The timeout to use while discarding a stream of input data. Since this is used for connection
     * reuse, this timeout should be significantly less than the time it takes to establish a new
     * connection.
     */
    const val DISCARD_STREAM_TIMEOUT_MILLIS = 100
  }

COPY --from=build /go/bin/curl* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

EXPOSE 9000
VOLUME ["/data"]

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]

COPY --from=build /go/bin/cur* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

EXPOSE 9000
VOLUME ["/data"]

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]