props.setProperty(FessEnv.MAIL_SUBJECT_TEST_PREFIX, "[テスト環境]");
                props.setProperty(FessEnv.MAIL_RETURN_PATH, "no-reply+bounce@example.co.jp");
                return props;
            }
        };

        assertEquals("smtp-relay.example.com:465", specialMailEnv.getMailSmtpServerMainHostAndPort());

---

Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes.

Par exemple :

* Traitements d'**audio** et d'**images**.

///

{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}


### `Union` in Python 3.10 { #union-in-python-3-10 }

In this example we pass `Union[PlaneItem, CarItem]` as the value of the argument `response_model`.

That's why in this example we have to declare it in the `response_model` parameter.

...but continue reading below to see how to overcome that.

## Return Type and Data Filtering { #return-type-and-data-filtering }

## Use Case { #use-case }

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

{* ../../docs_src/path_params/tutorial001.py hl[6:7] *}

El valor del parámetro de path `item_id` se pasará a tu función como el argumento `item_id`.

Así que, si ejecutas este ejemplo y vas a <a href="http://127.0.0.1:8000/items/foo" class="external-link" target="_blank">http://127.0.0.1:8000/items/foo</a>, verás un response de:

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

## Parámetros de path con tipos

        // This test verifies that once a handler is cached, subsequent calls reuse it.
        setupMockProtocolHandlers();
        URL url1 = new URL("http://example.com/resource1");
        URL url2 = new URL("http://example.com/resource2");

        URLConnection connection1 = handler.openConnection(url1);
        URLConnection connection2 = handler.openConnection(url2);

    "tax": 3.2,
    "tags": [
        "rock",
        "metal",
        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// info

### Run the server { #run-the-server }

Next, you would run the server passing the configurations as environment variables, for example you could set an `ADMIN_EMAIL` and `APP_NAME` with:

<div class="termy">

```console
$ ADMIN_EMAIL="deadpool@example.com" APP_NAME="ChimichangApp" fastapi run main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

# Classes as Dependencies { #classes-as-dependencies }

Before diving deeper into the **Dependency Injection** system, let's upgrade the previous example.

## A `dict` from the previous example { #a-dict-from-the-previous-example }

In the previous example, we were returning a `dict` from our dependency ("dependable"):

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[9] *}