Und das `dict` welches Sie als `weights` erhalten, wird `int`-Schlüssel und `float`-Werte haben.

///

## Zusammenfassung

Mit **FastAPI** haben Sie die maximale Flexibilität von Pydantic-Modellen, während Ihr Code einfach, kurz und elegant bleibt.

Aber mit all den Vorzügen:

* Editor-Unterstützung (Codevervollständigung überall)

# Déployer avec Docker

Dans cette section, vous verrez des instructions et des liens vers des guides pour savoir comment :

* Faire de votre application **FastAPI** une image/conteneur Docker avec une performance maximale. En environ **5 min**.
* (Optionnellement) comprendre ce que vous, en tant que développeur, devez savoir sur HTTPS.
* Configurer un cluster en mode Docker Swarm avec HTTPS automatique, même sur un simple serveur à 5 dollars US/mois. En environ **20 min**.

   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#limit} (same).
   *
   * @param maxSize the maximum number of elements in the returned fluent iterable
   * @throws IllegalArgumentException if {@code size} is negative
   */
  public final FluentIterable<E> limit(int maxSize) {
    return from(Iterables.limit(getDelegate(), maxSize));
  }

  /**
   * Determines whether this fluent iterable is empty.
   *

   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#limit} (same).
   *
   * @param maxSize the maximum number of elements in the returned fluent iterable
   * @throws IllegalArgumentException if {@code size} is negative
   */
  public final FluentIterable<E> limit(int maxSize) {
    return from(Iterables.limit(getDelegate(), maxSize));
  }

  /**
   * Determines whether this fluent iterable is empty.
   *

                    totalSize += size;
                    last = chain;
                    chain = next;
                } else if (last == null && totalSize + size > maxSize) {
                    throw new SmbException(String.format("Request size %d exceeds allowable size %d: %s", size, maxSize, chain));
                } else if (last == null) {

    Preconditions.checkArgument(expectedSize >= 0, "Expected size must be >= 0");

    // Save expectedSize for use in allocArrays()
    this.metadata = Ints.constrainToRange(expectedSize, 1, CompactHashing.MAX_SIZE);
  }

  /** Returns whether arrays need to be allocated. */
  boolean needsAllocArrays() {
    return table == null;
  }

  /** Handle lazy allocation of arrays. */
  @CanIgnoreReturnValue

   *
   * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a
   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
   * does not normally minimize that error: to do that, you should swap the roles of {@code x} and
   * {@code y}.
   *
   * <h3>Non-finite values</h3>
   *

...and **FastAPI** will know what to do.

/// tip

If that seems more confusing than helpful, disregard it, you don't *need* it.

It is just a shortcut. Because **FastAPI** cares about helping you minimize code repetition.

            result.setCreatedBy(DfTypeUtil.toString(source.get("createdBy")));
            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setMaxSize(DfTypeUtil.toInteger(source.get("maxSize")));
            result.setQuery(DfTypeUtil.toString(source.get("query")));
            result.setTerm(DfTypeUtil.toString(source.get("term")));
            result.setUpdatedBy(DfTypeUtil.toString(source.get("updatedBy")));

        void negativeMaxBuffersThrows() {
            assertThrows(NegativeArraySizeException.class, () -> new BufferCacheImpl(-1, 10));
        }

        @Test
        @DisplayName("Negative maxSize throws when allocating a new buffer")
        void negativeMaxSizeThrowsOnAllocation() {
            BufferCacheImpl impl = new BufferCacheImpl(0, -7);
            assertThrows(NegativeArraySizeException.class, impl::getBuffer);