/// note | Technische Details

Tatsächlich erstellen `Query`, `Path` und andere, die Sie als nächstes sehen werden, Instanzen von Unterklassen einer allgemeinen Klasse `Param`, welche selbst eine Unterklasse von Pydantics `FieldInfo`-Klasse ist.

Und Pydantics `Field` gibt ebenfalls eine Instanz von `FieldInfo` zurück.

`Body` gibt auch direkt Instanzen einer Unterklasse von `FieldInfo` zurück. Später werden Sie andere sehen, die Unterklassen der `Body`-Klasse sind.

</ul>
<p>
Some memory operations are <i>read-like</i>, including read, atomic read, mutex lock, and channel receive.
Other memory operations are <i>write-like</i>, including write, atomic write, mutex unlock, channel send, and channel close.
Some, such as atomic compare-and-swap, are both read-like and write-like.
</p>

<p>

{* ../../docs_src/generate_clients/tutorial004_py310.py *}

//// tab | Node.js

```Javascript
{!> ../../docs_src/generate_clients/tutorial004.js!}
```

////

- Do not add trailing punctuation to headings.

### Quotes and punctuation

- Keep punctuation style consistent with existing Traditional Chinese docs (they often mix English terms like “FastAPI” with Chinese text).
- Never change punctuation inside inline code, code blocks, URLs, or file paths.

/// tip

Integrating other authentication/authorization providers like Google, Facebook, X (Twitter), GitHub, etc. is also possible and relatively easy.

The most complex problem is building an authentication/authorization provider like those, but **FastAPI** gives you the tools to do it easily, while doing the heavy lifting for you.

///

* Из загруженного файла можно получить метаданные.
* Он реализует [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) `async` интерфейс.

## Pydantic Models for Input and Output { #pydantic-models-for-input-and-output }

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input { #model-for-input }

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------
   

If you are streaming JSON Lines, follow the [Stream JSON Lines](../tutorial/stream-json-lines.md) tutorial.

///

### `FileResponse` { #fileresponse }

Asynchronously streams a file as the response.

* Caddy
    * Automatically handles certificates renewals ✨
* Nginx
    * With an external component like Certbot for certificate renewals
* HAProxy
    * With an external component like Certbot for certificate renewals
* Kubernetes with an Ingress Controller like Nginx
    * With an external component like cert-manager for certificate renewals
* Handled internally by a cloud provider as part of their services (read below 👇)