# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

     */
    protected int length = 0;
    /**
     * The call ID for matching requests and responses
     */
    protected int call_id = 0;
    /**
     * The allocation hint for buffer sizing
     */
    protected int alloc_hint = 0;
    /**
     * The result code of the DCERPC operation
     */
    protected int result = 0;

    /**
     * Checks if a specific flag is set

          @SuppressWarnings({"removal", "Finalize"}) // b/260137033
          @Override
          protected void finalize() {
            latch.countDown();
          }
        };
    unused = null; // Hint to the JIT that unused is unreachable
    GcFinalization.await(latch);
    assertEquals(0, latch.getCount());
  }

  public void testAwaitDone_future() {
    SettableFuture<@Nullable Void> future = SettableFuture.create();

Standardmäßig konvertiert **FastAPI** diesen Rückgabewert automatisch nach JSON, mithilfe des `jsonable_encoder`, der in [JSON-kompatibler Encoder](../tutorial/encoder.md){.internal-link target=_blank} erläutert wird.

Dann würde es hinter den Kulissen diese JSON-kompatiblen Daten (z. B. ein `dict`) in eine `JSONResponse` einfügen, die zum Senden der Response an den Client verwendet würde.

Sie können jedoch direkt eine `JSONResponse` von Ihren *Pfadoperationen* zurückgeben.

    }

    protected SearchHits getSearchHits(final SearchResponse response) {
        SearchHits hits = response.getHits();
        if (hits == null) {
            throw new IllegalBehaviorStateException("hits is null: " + response);
        }
        return hits;
    }

    public static class BulkList<E, B> implements List<E> {

        private final List<E> parent;

        assertNotNull(resp, "Response instance should be created");
    }

    @Nested
    @DisplayName("writeBytesWireFormat")
    class WriteBytesWireFormat {

        @ParameterizedTest
        @ValueSource(ints = { -10, -1, 0, 1, 42 })
        @DisplayName("Returns 0 regardless of dst and index")
        void returnsZero_forVariousIndexes(int index) {
            // Arrange
            Smb2LogoffResponse resp = newResponse();

# Because table classifications are auto-deployed by relation information.
#
# Specification:
# map: {
#     [table-name or $$ALL$$] = map:{
#         ; [column-name (with hint)]=[classification-name]
#     }
# }
#
# *The line that starts with '#' means comment-out.
#
map:{
    #; $$ALL$$       = map:{suffix:_FLG=Flg}
}

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

 * limitations under the License.
 */

package com.google.common.collect.testing;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.testing.SampleElements.Ints;
import java.util.List;
import java.util.Set;
import org.jspecify.annotations.NullMarked;

/**
 * Create integer sets for collection tests.
 *
 * @author Gregory Kick
 */
@GwtCompatible
@NullMarked

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.primitives.Ints;
import com.google.errorprone.annotations.concurrent.LazyInit;
import java.util.Collection;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/**