Iterator<T> iterator, Predicate<? super T> predicate) {
    checkNotNull(predicate, "predicate");
    for (int i = 0; iterator.hasNext(); i++) {
      T current = iterator.next();
      if (predicate.apply(current)) {
        return i;
      }
    }
    return -1;
  }

  /**
   * Returns a view containing the result of applying {@code function} to each element of {@code

Sie können beispielsweise kein Pydantic-Modell in eine `JSONResponse` einfügen, ohne es zuvor in ein `dict` zu konvertieren, bei dem alle Datentypen (wie `datetime`, `UUID`, usw.) in JSON-kompatible Typen konvertiert wurden.

In diesen Fällen können Sie den `jsonable_encoder` verwenden, um Ihre Daten zu konvertieren, bevor Sie sie an eine Response übergeben:

```Python hl_lines="6-7  21-22"
{!../../docs_src/response_directly/tutorial001.py!}

                    "type": "oauth2",
                    "flows": {
                        "password": {
                            "scopes": {
                                "me": "Read information about the current user.",
                                "items": "Read items.",
                            },
                            "tokenUrl": "token",
                        }
                    },
                }

                    "type": "oauth2",
                    "flows": {
                        "password": {
                            "scopes": {
                                "me": "Read information about the current user.",
                                "items": "Read items.",
                            },
                            "tokenUrl": "token",
                        }
                    },
                }

///

```Python hl_lines="1"
{!> ../../docs_src/request_files/tutorial001.py!}
```

////

## `File`-Parameter definieren

Erstellen Sie Datei-Parameter, so wie Sie es auch mit `Body` und `Form` machen würden:

//// tab | Python 3.9+

```Python hl_lines="9"
{!> ../../docs_src/request_files/tutorial001_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="8"

        "query": "prometheus",
        "queryValue": "",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "type": "datasource"
      },
      {
        "current": {
          "selected": true,
          "text": "default",
          "value": "default"
        },
        "datasource": {
          "type": "prometheus",
          "uid": "${datasource}"

        return _instance;
    }

    // ===================================================================================
    //                                                                       Current DBDef
    //                                                                       =============
    @Override
    public String getProjectName() {
        return null;
    }

    @Override

        return _instance;
    }

    // ===================================================================================
    //                                                                       Current DBDef
    //                                                                       =============
    @Override
    public String getProjectName() {
        return null;
    }

    @Override

     * Our solution is for threads to CAS seenExceptions from null to a Set populated with _the
     * initial exception_, no matter which thread does the work. This ensures that seenExceptions
     * always contains not just the current thread's exception but also the initial thread's.
     */
    Set<Throwable> seenExceptionsLocal = seenExceptions;
    if (seenExceptionsLocal == null) {

      // and when it is done will run the listeners.
      if (hasListeners.compareAndSet(false, true)) {
        if (delegate.isDone()) {
          // If the delegate is already done, run the execution list immediately on the current
          // thread.
          executionList.execute();
          return;
        }

        // TODO(lukes): handle RejectedExecutionException
        adapterExecutor.execute(
            () -> {