href="https://docs.python.org/3/library/tempfile.html#tempfile.SpooledTemporaryFile" class="external-link" target="_blank">`SpooledTemporaryFile`</a> (um objeto <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a>). O arquivo propriamente dito que você pode passar diretamente para outras funções ou bibliotecas que esperam um objeto "file-like".

`UploadFile` tem os seguintes métodos `async`. Todos eles chamam os métodos de arquivos...

 * This interface extends the general {@link Options} interface, adding upgrade-specific configuration options.
 *
 * @since 4.0.0
 */
@Experimental
public interface UpgradeOptions extends Options {
    /**
     * Returns the list of upgrade goals to be executed.
     * These goals can include operations like "check", "dependencies", "plugins", etc.
     *

## Additional status codes { #additional-status-codes_1 }

If you want to return additional status codes apart from the main one, you can do that by returning a `Response` directly, like a `JSONResponse`, and set the additional status code directly.

For example, let's say that you want to have a *path operation* that allows to update items, and returns HTTP status codes of 200 "OK" when successful.

/// note | Technische Details

Tatsächlich erstellen `Query`, `Path` und andere, die sie kennenlernen werden, Instanzen von Unterklassen einer allgemeinen Klasse `Param`, die ihrerseits eine Unterklasse von Pydantics `FieldInfo`-Klasse ist.

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

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

* <a href="https://www.stainless.com/?utm_source=fastapi&utm_medium=referral" class="external-link" target="_blank">Stainless</a>
* <a href="https://developers.liblab.com/tutorials/sdk-for-fastapi?utm_source=fastapi" class="external-link" target="_blank">liblab</a>

# 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
   -----------------------------------------------------------------------------------------------
   

 * Futures#transform(ListenableFuture, com.google.common.base.Function, Executor) Futures.transform}
 * (or {@link FluentFuture#transform(com.google.common.base.Function, Executor)
 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.

</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>

## 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] *}

## Den Benutzernamen überprüfen

Hier ist ein vollständigeres Beispiel.

Verwenden Sie eine Abhängigkeit, um zu überprüfen, ob Benutzername und Passwort korrekt sind.

Verwenden Sie dazu das Python-Standardmodul <a href="https://docs.python.org/3/library/secrets.html" class="external-link" target="_blank">`secrets`</a>, um den Benutzernamen und das Passwort zu überprüfen.