We are not using `scopes` in this example, but the functionality is there if you need it.

///

Now, get the user data from the (fake) database, using the `username` from the form field.

If there is no such user, we return an error saying "Incorrect username or password".

We create an `HTTPException` that we can reuse (`raise`) later at several points.

In this exception, we include the scopes required (if any) as a string separated by spaces (using `scope_str`). We put that string containing the scopes in the `WWW-Authenticate` header (this is part of the spec).

### Check the code { #check-the-code }

* Check and read the code, see if it makes sense, **run it locally** and see if it actually solves the problem.

* Then **comment** saying that you did that, that's how I will know you really checked it.

/// info

Unfortunately, I can't simply trust PRs that just have several approvals.

					}
					fanOutEntries = append(fanOutEntries, m)
				}
				part.Close()
				continue
			}

			buf := bytebufferpool.Get()
			// value, store as string in memory
			n, err := io.CopyN(buf, part, maxMemoryBytes+1)
			value := buf.String()
			buf.Reset()
			bytebufferpool.Put(buf)
			part.Close()

			if err != nil && err != io.EOF {
				apiErr := errorCodes.ToAPIErr(ErrMalformedPOSTRequest)

    * If you are comparing Uvicorn, compare it against Daphne, Hypercorn, uWSGI, etc. Application servers.
* **Starlette**:
    * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.

    cookies: List<Cookie>,
  ) {
    val cookieStrings = mutableListOf<String>()
    for (cookie in cookies) {
      cookieStrings.add(cookieToString(cookie, true))
    }
    val multimap = mapOf("Set-Cookie" to cookieStrings)
    try {
      cookieHandler.put(url.toUri(), multimap)
    } catch (e: IOException) {
      Platform.get().log("Saving cookies failed for " + url.resolve("/...")!!, WARN, e)
    }
  }

you can set the storage class of an object via request metadata field `x-amz-storage-class`. MinIO server then honors the storage class by
saving the object in specific number of data and parity drives.

## Storage usage

The selection of varying data and parity drives has a direct impact on the drive space usage. With storage class, you can optimize for high
redundancy or better drive space utilization.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

///

## Dataclasses in `response_model` { #dataclasses-in-response-model }

You can also use `dataclasses` in the `response_model` parameter:

    /*
     * (non-Javadoc)
     *
     * @see
     * org.codelibs.fess.crawler.service.UrlQueueService#updateSessionId(java.lang.String
     * , java.lang.String)
     */
    @Override
    public void updateSessionId(final String oldSessionId, final String newSessionId) {
        // not MT-safe
        final Queue<UrlQueueImpl<Long>> urlQueueList = dataHelper.getUrlQueueList(oldSessionId);
        // overwrite

- Kubeadm: fixed issue where etcd member promotion fails with an error saying the member was already promoted ([#132280](https://github.com/kubernetes/kubernetes/pull/132280), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]

### Other (Cleanup or Flake)