// drive timeout by default is 2 minutes, we do not need to wait longer.
	return save(name, time.Minute)
}

// dataUsageCacheVer indicates the cache version.
// Bumping the cache version will drop data from previous versions
// and write new data with the new version.
const (
	dataUsageCacheVerCurrent = 8
	dataUsageCacheVerV7      = 7
	dataUsageCacheVerV6      = 6

    }

    private
    fun shortenSubprojectName(prefix: String, subProjectName: String): String {
        val shortenedSubprojectName = subProjectName.replace("internal", "i").replace("Testing", "T")
        if (shortenedSubprojectName.length + prefix.length <= 80) {
            return shortenedSubprojectName
        }
        return shortenedSubprojectName.replace(Regex("[aeiou]"), "")
    }

```Python hl_lines="1  20"
{!> ../../docs_src/extra_models/tutorial004.py!}
```

////

## Response with arbitrary `dict`

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

This is useful if you don't know the valid field/attribute names (that would be needed for a Pydantic model) beforehand.

					break
				}
				setN := humanize.Ordinal(setIdx + 1)
				retryDur := time.Duration(rand.Float64() * float64(5*time.Second))
				decomLogOnceIf(ctx, fmt.Errorf("listing objects from %s set failed with %v, retrying in %v", setN, err, retryDur), "decom-listing-failed"+setN)
				time.Sleep(retryDur)
			}
		}(setIdx)
	}
	wk.Wait()
	return nil
}

//msgp:ignore decomMetrics
type decomMetrics struct{}

			}
		}
		// loop through buckets and see if some with lost quorum
		// these could be stale buckets lying around, queue a heal
		// of such a bucket. This is needed here as we identify such
		// buckets here while listing buckets. As part of regular
		// globalBucketMetadataSys.Init() call would get a valid
		// buckets only and not the quourum lost ones like this, so
		// explicit call
		for bktName, count := range bucketsMap {

// endpoints defined by a backend. An Ingress can be configured to give services
// externally-reachable urls, load balance traffic, terminate SSL, offer name
// based virtual hosting etc.
message Ingress {
  // Standard object's metadata.
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata
  // +optional

author: Kaustubh Gupta author_link: https://medium.com/@kaustubhgupta1828/ link: https://www.analyticsvidhya.com/blog/2021/06/deploying-ml-models-as-api-using-fastapi-and-heroku/ title: Deploying ML Models as API Using FastAPI and Heroku - link: https://jarmos.netlify.app/posts/using-github-actions-to-deploy-a-fastapi-project-to-heroku/ title: Using GitHub Actions to Deploy a FastAPI Project to Heroku author_link: https://jarmos.netlify.app/ author: Somraj Saha - author: "@pystar" author_link: htt...

	if openNetns != nil {
		return openNetns, nil
	}
	log.Debug("pod netns was not found, trying to find it using procfs")
	// this can happen if the pod was dynamically added to the mesh after it was created.
	// in that case, try finding the netns using procfs.
	if err := s.rescanPod(pod); err != nil {
		log.Errorf("error scanning proc: error was %s", err)
		return nil, err
	}

If you are paying for 3 servers but you are using only a little bit of their RAM and CPU, you are probably **wasting money** 💸, and probably **wasting server electric power** 🌎, etc.

In that case, it could be better to have only 2 servers and use a higher percentage of their resources (CPU, memory, disk, network bandwidth, etc).

    )
    logging.info("Committing updated file")
    message = "👥 Update FastAPI People"
    result = subprocess.run(["git", "commit", "-m", message], check=True)
    logging.info("Pushing branch")
    subprocess.run(["git", "push", "origin", branch_name], check=True)
    logging.info("Creating PR")
    pr = repo.create_pull(title=message, body=message, base="master", head=branch_name)