return nil
	}
	return s.err
}

// Bytes returns the most recent token generated by a call to [Scanner.Scan].
// The underlying array may point to data that will be overwritten
// by a subsequent call to Scan. It does no allocation.
func (s *Scanner) Bytes() []byte {
	return s.token
}

// Text returns the most recent token generated by a call to [Scanner.Scan]

    runAsGroup: 1000
  resources:
    requests:
      memory: 128Mi
  ## Additional volumes to add to the post-job.
  extraVolumes:
    []
    # - name: extra-policies
    #   configMap:
    #     name: my-extra-policies-cm
  ## Additional volumeMounts to add to the custom commands container when
  ## running the post-job.
  extraVolumeMounts:
    []
    # - name: extra-policies
    #   mountPath: /mnt/extras/

#

[![GoDoc](https://godoc.org/github.com/bcicen/jstream?status.svg)](https://godoc.org/github.com/bcicen/jstream)


`jstream` is a streaming JSON parser and value extraction library for Go.

Unlike most JSON parsers, `jstream` is document position- and depth-aware -- this enables the extraction of values at a specified depth, eliminating the overhead of allocating encompassing arrays or objects; e.g:

Using the below example document:

* Fügen Sie es als „Middleware“ zu Ihrer **FastAPI**-Anwendung hinzu.

Sie können auch angeben, ob Ihr Backend erlaubt:

* Anmeldeinformationen (Autorisierungsheader, Cookies, usw.).
* Bestimmte HTTP-Methoden (`POST`, `PUT`) oder alle mit der Wildcard `"*"`.
* Bestimmte HTTP-Header oder alle mit der Wildcard `"*"`.

{* ../../docs_src/cors/tutorial001_py39.py hl[2,6:11,13:19] *}

        Thanks for your interest in FastAPI! 🚀

        Please follow these instructions, fill every question, and do every step. 🙏

        I'm asking this because answering questions and solving problems in GitHub is what consumes most of the time.

        I end up not being able to add new features, fix bugs, review pull requests, etc. as fast as I wish because I have to spend too much time handling questions.

Beachten Sie, dass wir async/await mit dem neuen `AsyncClient` verwenden – der Request ist asynchron.

///

/// warning | Achtung

Falls Ihre Anwendung auf Lifespan-Events angewiesen ist, der `AsyncClient` löst diese Events nicht aus. Um sicherzustellen, dass sie ausgelöst werden, verwenden Sie `LifespanManager` von <a href="https://github.com/florimondmanca/asgi-lifespan#usage" class="external-link" target="_blank">florimondmanca/asgi-lifespan</a>.

/// 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.

///

## **FastAPI** utilities { #fastapi-utilities }

### Errors

XML error response for this API is similar to [AWS STS AssumeRoleWithWebIdentity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithWebIdentity.html#API_AssumeRoleWithWebIdentity_Errors)

## Sample `POST` Request

```

Sie können normale FastAPI-*Pfadoperationen* mit GraphQL in derselben Anwendung kombinieren.

/// tip | Tipp

**GraphQL** löst einige sehr spezifische Anwendungsfälle.

Es hat **Vorteile** und **Nachteile** im Vergleich zu gängigen **Web-APIs**.

/// note | Technical Details

You could also use `from starlette.templating import Jinja2Templates`.

**FastAPI** provides the same `starlette.templating` as `fastapi.templating` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request` and `StaticFiles`.

///

## Writing templates { #writing-templates }