```JSON
{"item_id":"foo"}
```

## Path parameters with types

You can declare the type of a path parameter in the function, using standard Python type annotations:

```Python hl_lines="7"
{!../../docs_src/path_params/tutorial002.py!}
```

In this case, `item_id` is declared to be an `int`.

/// check

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

/// tip | "Подсказка"

С опцией `standard`, Uvicorn будет устанавливаться и использоваться с некоторыми дополнительными рекомендованными зависимостями.

 * invoke methods, they invoke methods on the {@code ForwardingSortedMap}.
 *
 * <p>Each of the {@code standard} methods, where appropriate, use the comparator of the map to test
 * equality for both keys and values, unlike {@code ForwardingMap}.
 *
 * <p>The {@code standard} methods and the collection views they return are not guaranteed to be
 * thread-safe, even when all of the methods that they depend on are thread-safe.

///

## Automatische Konvertierung

`Header` hat weitere Funktionalität, zusätzlich zu der, die `Path`, `Query` und `Cookie` bereitstellen.

Die meisten Standard-Header benutzen als Trennzeichen einen Bindestrich, auch bekannt als das „Minus-Symbol“ (`-`).

Aber eine Variable wie `user-agent` ist in Python nicht gültig.

                    return new StandardImplForwardingSet<>(Sets.newLinkedHashSet(asList(elements)));
                  }
                })
            .named("ForwardingSet[LinkedHashSet] with standard implementations")
            .withFeatures(
                CollectionSize.ANY,
                CollectionFeature.ALLOWS_NULL_VALUES,
                CollectionFeature.GENERAL_PURPOSE)
            .createTestSuite());

* `bytes`:
    * Standard-Python-`bytes`.
    * In Requests und Responses werden sie als `str` behandelt.
    * Das generierte Schema wird anzeigen, dass es sich um einen `str` mit `binary` „Format“ handelt.
* `Decimal`:
    * Standard-Python-`Decimal`.
    * In Requests und Responses wird es wie ein `float` behandelt.

Two file sizes are used -- regular (1.6mb, 1000 objects) and large (128mb, 100000 objects)

input size | lib | MB/s | Allocated
--- | --- | --- | ---
regular | standard | 97 | 3.6MB
regular | jstream | 175 | 2.1MB
large | standard | 92 | 305MB
large | jstream | 404 | 69MB

In a real world scenario, including initialization and reader overhead from varying blob sizes, performance can be expected as below:

// PriorityClass defines mapping from a priority class name to the priority
// integer value. The value can be any valid integer.
message PriorityClass {
  // Standard object's metadata.
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

```JSON
{"item_id":"foo"}
```

## Pfad-Parameter mit Typen

Sie können den Typ eines Pfad-Parameters in der Argumentliste der Funktion deklarieren, mit Standard-Python-Typannotationen:

```Python hl_lines="7"
{!../../docs_src/path_params/tutorial002.py!}
```

In diesem Fall wird `item_id` als `int` deklariert, also als Ganzzahl.

/// check

For now, you just need to know that `Annotated` exists, and that it's standard Python. 😎

Later you will see how **powerful** it can be.

/// tip

The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨