return client


def test_get(client: TestClient):
    response = client.get("/")
    assert response.json() == {"custom_field": [1.0, 2.0, 3.0]}


def test_typeadapter():
    # This test is only to confirm that Pydantic alone is working as expected
    from pydantic import (
        BaseModel,
        ConfigDict,
        PlainSerializer,
        TypeAdapter,
        WithJsonSchema,
    )

labels.protwordsFile=Protwords File
labels.kuromojiFile=Kuromoji File
labels.elevateWordFile=Elevate Word File
labels.badWordFile=Bad Word File
labels.urlExpr=Condition
labels.boostExpr=Boost Expression
labels.confirmPassword=Confirm
labels.crawler=Crawler
labels.crudMode=Mode
labels.errorCountMax=Max Error Count
labels.errorCountMin=Min Error Count
labels.facet=Facet
labels.geo=Geo
labels.groups=Groups
labels.hash=Hash

labels.protwordsFile=Protwords File
labels.kuromojiFile=Kuromoji File
labels.elevateWordFile=Elevate Word File
labels.badWordFile=Bad Word File
labels.urlExpr=Condition
labels.boostExpr=Boost Expression
labels.confirmPassword=Confirm
labels.crawler=Crawler
labels.crudMode=Mode
labels.errorCountMax=Max Error Count
labels.errorCountMin=Min Error Count
labels.facet=Facet
labels.geo=Geo
labels.groups=Groups
labels.hash=Hash

...then the `description` field will **not be required**. Because it has a default value of `None`.

### Input Model in Docs { #input-model-in-docs }

You can confirm that in the docs, the `description` field doesn't have a **red asterisk**, it's not marked as required:

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image01.png">
</div>

```sh
docker build -t myminio:minio .
```

Use `docker image ls` to confirm the image exists in your local repository.
You can run the server using standard Docker invocation:

```sh
docker run -p 9000:9000 -p 9001:9001 myminio:minio server /tmp/minio --console-address :9001
```

## Merge Translation PRs

For Spanish, as I'm a native speaker and it's a language close to me, I will give it a final review myself and in most cases tweak the PR a bit before merging it.

For the other languages, confirm that:

* The title is correct following the instructions above.
* It has the labels `lang-all` and `lang-{lang code}`.
* The PR changes only one Markdown file adding a translation.

    /** The key of the message: Boost Expression */
    public static final String LABELS_BOOST_EXPR = "{labels.boostExpr}";

    /** The key of the message: Confirm */
    public static final String LABELS_CONFIRM_PASSWORD = "{labels.confirmPassword}";

    /** The key of the message: Crawler */
    public static final String LABELS_CRAWLER = "{labels.crawler}";

The most important part is that when you call `python`, that is the exact "`python`" that will be executed.

So, you can confirm if you are in the correct virtual environment.

/// tip

It's easy to activate one virtual environment, get one Python, and then **go to another project**.

Confira as dicas de anotação no código acima para ver mais detalhes específicos.

## Saiba Mais { #learn-more }

Você também pode combinar `dataclasses` com outros modelos Pydantic, herdar deles, incluí-los em seus próprios modelos, etc.

Para isso, você utiliza o `TestClient` dentro de uma instrução `with`, conectando com o WebSocket:

{* ../../docs_src/app_testing/tutorial002_py39.py hl[27:31] *}

/// note | Nota

Para mais detalhes, confira a documentação do Starlette para <a href="https://www.starlette.dev/testclient/#testing-websocket-sessions" class="external-link" target="_blank">testar WebSockets</a>.