Map<K, V> map;
    try {
      map = makePopulatedMap();
    } catch (UnsupportedOperationException e) {
      return;
    }

    // Explicitly call `equals`; `assertEquals` might return fast
    assertTrue(map.equals(map));
    assertTrue(makePopulatedMap().equals(map));
    assertFalse(map.equals(emptyMap()));
    // no-inspection ObjectEqualsNull
    assertFalse(map.equals(null));
  }

Auf diese Weise kann Ihr Editor Sie auch bei der Bearbeitung von Einträgen aus der Liste unterstützen:

<img src="/img/python-types/image05.png">

Ohne Typen ist das fast unmöglich zu erreichen.

Beachten Sie, dass die Variable `item` eines der Elemente in der Liste `items` ist.

Und trotzdem weiß der Editor, dass es sich um ein `str` handelt, und bietet entsprechende Unterstützung.

## Zusammenfassung { #recap }

Mit dem, was Sie bis hier gesehen haben, können Sie eine sichere **FastAPI**-Anwendung mithilfe von Standards wie OAuth2 und JWT einrichten.

In fast jedem Framework wird die Handhabung der Sicherheit recht schnell zu einem ziemlich komplexen Thema.

///

## Hashing de contraseñas { #password-hashing }

"Hacer hashing" significa convertir algún contenido (una contraseña en este caso) en una secuencia de bytes (solo un string) que parece un galimatías.

Siempre que pases exactamente el mismo contenido (exactamente la misma contraseña) obtienes exactamente el mismo galimatías.

TF_CAPI_EXPORT void TF_InitMain(const char* usage, int* argc, char*** argv);

// Platform-specific implementation to return an unused port. (This should used
// in tests only.)
TF_CAPI_EXPORT int TF_PickUnusedPortOrDie(void);

// Fast path method that makes constructing a single scalar tensor require less
// overhead and copies.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandleFromScalar(

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.

            cbWithMetrics.executeWithCircuitBreaker(() -> {
                try {
                    Thread.sleep(100);
                } catch (InterruptedException e) {}
                return "fast";
            });

            cbWithMetrics.executeWithCircuitBreaker(() -> {
                try {
                    Thread.sleep(200);
                } catch (InterruptedException e) {}

        // Set-based lookup should be significantly faster
        // Note: This is a rough check - exact performance depends on JVM, hardware, etc.
        // We expect Set lookup to be at least as fast as array lookup for large datasets
        assertTrue("Set-based lookup should be faster or comparable to array-based lookup for large datasets",
                setDuration <= arrayDuration * 2); // Allow 2x margin for test stability

    // We can provide a hint to the builder to preallocate the correct size when the iterable is
    // either a List (which likely has a fast size() implementation), or an ImmutableCollection
    // (which definitely has a fast size() implementation). While Collection also has a size()
    // implementation, it _may_ require iteration over the entire collection (e.g., a

    // We can provide a hint to the builder to preallocate the correct size when the iterable is
    // either a List (which likely has a fast size() implementation), or an ImmutableCollection
    // (which definitely has a fast size() implementation). While Collection also has a size()
    // implementation, it _may_ require iteration over the entire collection (e.g., a