```

But if you go to, for example:

```
http://127.0.0.1:8000/items/?skip=20
```

The parameter values in your function will be:

* `skip=20`: because you set it in the URL
* `limit=10`: because that was the default value

## Optional parameters { #optional-parameters }

The same way, you can declare optional query parameters, by setting their default to `None`:

{* ../../docs_src/query_params/tutorial002_py310.py hl[7] *}

    `instead of graph.proto`.
*   `ops.NoGradient` was renamed `ops.NotDifferentiable`. `ops.NoGradient` will
    be removed soon.
*   `dot.h` / DotGraph was removed (it was an early analysis tool prior to
    TensorBoard, no longer that useful). It remains in history should someone
    find the code useful.
*   re2 / regexp.h was removed from being a public interface of TF. Should users

    stream = http2Connection.newStream(requestHeaders, hasRequestBody)
    // We may have been asked to cancel while creating the new stream and sending the request
    // headers, but there was still no stream to close.
    if (canceled) {
      stream!!.closeLater(ErrorCode.CANCEL)
      throw IOException("Canceled")
    }
    stream!!.readTimeout().timeout(chain.readTimeoutMillis.toLong(), TimeUnit.MILLISECONDS)

                }
            }
        };

        FwAssistantDirector assistantDirector = createMockAssistantDirector();
        customHook.hook(assistantDirector);

        // Verify that exception was handled
        assertTrue(exceptionHandled.get());
    }

    // Test with a custom ClassLoader to simulate class availability
    public void test_hook_withCustomClassLoader() throws Exception {

In that case, you can disable this feature in **FastAPI**, with the parameter `separate_input_output_schemas=False`.

/// info

Support for `separate_input_output_schemas` was added in FastAPI `0.102.0`. 🤓

///

{* ../../docs_src/separate_openapi_schemas/tutorial002_py310.py hl[10] *}

### Same Schema for Input and Output Models in Docs { #same-schema-for-input-and-output-models-in-docs }

    ...
```

Aber durch die Verwendung von `secrets.compare_digest()` ist dieser Code sicher vor einer Art von Angriffen, die „Timing-Angriffe“ genannt werden.

### Timing-Angriffe

Aber was ist ein „Timing-Angriff“?

Stellen wir uns vor, dass einige Angreifer versuchen, den Benutzernamen und das Passwort zu erraten.

Und sie senden eine Anfrage mit dem Benutzernamen `johndoe` und dem Passwort `love123`.

    }
  }

  companion object {
    /** Obtain a host string containing either an actual host name or a numeric IP address. */
    val InetSocketAddress.socketHost: String get() {
      // The InetSocketAddress was specified with a string (either a numeric IP or a host name). If
      // it is a name, all IPs for that name should be tried. If it is an IP address, only that IP
      // address should be tried.

            this.finished = finished;
        }

        /**
         * Checks if the process has been terminated due to timeout.
         * @return True if the process was terminated, false otherwise.
         */
        public boolean isTeminated() {
            return teminated;
        }
    }

    /**

 * multiple variants of ASN.1, including:
 *
 *  * DER: Distinguished Encoding Rules. This further constrains ASN.1 for deterministic encoding.
 *  * BER: Basic Encoding Rules.
 *
 * This class was implemented according to the [X.690 spec][[x690]], and under the advice of
 * [Lets Encrypt's ASN.1 and DER][asn1_and_der] guide.
 *
 * [x690]: https://www.itu.int/rec/T-REC-X.690

    // because we already acquired it.
    if (connectionUser.candidateConnection() != null) {
      check(toClose == null)
      return ReusePlan(candidate)
    }

    // The call's connection was released.
    toClose?.closeQuietly()
    connectionUser.connectionReleased(candidate)
    connectionUser.connectionConnectionReleased(candidate)
    if (toClose != null) {