You can also use `dataclasses` in the `response_model` parameter:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

The dataclass will be automatically converted to a Pydantic dataclass.

This way, its schema will show up in the API docs user interface:

<img src="/img/tutorial/dataclasses/image01.png">

     */

    public static String getProperty(final String key) {
        return prp.getProperty(key);
    }

    /**
     * Retrieve an <code>int</code>. If the key does not exist or
     * cannot be converted to an <code>int</code>, the provided default
     * argument will be returned.
     *
     * @param key the property key to look up

     * Applies each duplicate host rule in sequence to transform the URL
     * according to the configured patterns.
     *
     * @param url the URL to convert
     * @return the converted URL after applying all duplicate host rules,
     *         or null if the input URL is null
     */
    public String convert(final String url) {
        if (url == null) {
            return null;
        }

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"context"
	"fmt"
	"testing"
)

// Test if various paths work as expected when converted to UNC form
func TestUNCPaths(t *testing.T) {
	testCases := []struct {
		objName string
		pass    bool
	}{
		{"/abcdef", true},
		{"/a/b/c/d/e/f/g", true},
		{string(bytes.Repeat([]byte("界"), 85)), true},

if [[ $(uname -s) != MSYS_NT* ]]; then
  "python${TFCI_PYTHON_VERSION}" -m venv "$venv_dir"
  python="$venv_dir/bin/python3"
else
  # When using the Linux-like path, venv creation quietly fails, which is
  # why it's converted here.
  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

* `frozenset` :
    * Dans les requêtes et les réponses, traité de la même manière qu'un `set` :
        * Dans les requêtes, une liste sera lue, les doublons éliminés, puis convertie en `set`.
        * Dans les réponses, le `set` sera converti en `list`.
        * Le schéma généré indiquera que les valeurs du `set` sont uniques (en utilisant `uniqueItems` de JSON Schema).
* `bytes` :

    @Keep
    public void checkArray(Converter<String, Integer> c, String s) {
      calledWith(c, s);
    }

    void check() {
      runTester();
      @SuppressWarnings("unchecked") // We are checking it anyway
      Converter<String, Integer> defaultConverter =
          (Converter<String, Integer>) getDefaultParameterValue(0);

Vous pouvez aussi utiliser `dataclasses` dans le paramètre `response_model` :

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

La dataclass sera automatiquement convertie en dataclass Pydantic.

Ainsi, son schéma apparaîtra dans l'interface utilisateur de la documentation de l'API :

<img src="/img/tutorial/dataclasses/image01.png">

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[28:31] hl[29] *}

### Sem tipo de retorno { #no-return-type }

Você também pode omitir o tipo de retorno. O FastAPI usará o [`jsonable_encoder`](./encoder.md) para converter os dados e enviá-los.

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[34:37] hl[35] *}

## `ServerSentEvent` { #serversentevent }

   * an IPv4 address or not.
   *
   * <p>IPv6 addresses are <b>coerced</b> to IPv4 addresses before being converted to integers.
   *
   * <p>As long as there are applications that assume that all IP addresses are IPv4 addresses and
   * can therefore be converted safely to integers (for whatever purpose) this function can be used
   * to handle IPv6 addresses as well until the application is suitably fixed.