if w.compressors == nil {
		w.compressors = make(map[uint16]Compressor)
	}
	w.compressors[method] = comp
}

// AddFS adds the files from fs.FS to the archive.
// It walks the directory tree starting at the root of the filesystem
// adding each file to the zip using deflate while maintaining the directory structure.
func (w *Writer) AddFS(fsys fs.FS) error {

		// Test listing an object with uncommon delimiter and matching prefix
		{testBuckets[4], "file1/", "", "guidSplunk", 1000, resultCases[35], nil, true},
		// Test listing at prefix with expected prefix markers
		{testBuckets[5], "dir/", "", SlashSeparator, 1, resultCases[36], nil, true},
		// Test listing with prefix match
		{testBuckets[5], "foo/201910/11", "", "", 1000, resultCases[37], nil, true},

## Offizielles Docker-Image mit Gunicorn – Uvicorn

Es gibt ein offizielles Docker-Image, in dem Gunicorn mit Uvicorn-Workern ausgeführt wird, wie in einem vorherigen Kapitel beschrieben: [Serverworker – Gunicorn mit Uvicorn](server-workers.md){.internal-link target=_blank}.

Dieses Image wäre vor allem in den oben beschriebenen Situationen nützlich: [Container mit mehreren Prozessen und Sonderfälle](#container-mit-mehreren-prozessen-und-sonderfalle).

build:rbe_base --remote_timeout=3600
build:rbe_base --spawn_strategy=remote,worker,standalone,local
# Attempt to minimize the amount of data transfer between bazel and the remote
# workers:
build:rbe_base --remote_download_toplevel
test:rbe_base --test_env=USER=anon

# TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu.
build:rbe_linux --config=rbe_base

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{bucket}}",
          "refId": "A"
        }
      ],
      "title": "Delete Markers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "Prometheus"
      },
      "fieldConfig": {
        "defaults": {

Я подготовил для вас Docker-образ, в который включён Gunicorn управляющий процессами (воркерами) Uvicorn, в соответствии с концепциями рассмотренными в предыдущей главе: [Рабочие процессы сервера (воркеры) - Gunicorn совместно с Uvicorn](server-workers.md){.internal-link target=_blank}.

Этот образ может быть полезен для ситуаций описанных тут: [Множество процессов внутри контейнера для особых случаев](#_11).

					res["repl-pending-"+tgt] = fmt.Sprintf("%d versions, %d bytes", st.pendingCount, st.pendingSize)
				}
			}
		}
		if objDeleted {
			// we return errIgnoreFileContrib to signal this function's
			// callers to skip this object's contribution towards
			// usage.
			return sizeSummary{}, errIgnoreFileContrib
		}
		return sizeS, nil
	}, scanMode, weSleep)
	if err != nil {
		return dataUsageInfo, err
	}

## Gunicorn과 함께하는 공식 도커 이미지 - Uvicorn

앞 챕터에서 자세하게 설명된 것 처럼, Uvicorn 워커와 같이 실행되는 Gunicorn을 포함하는 공식 도커 이미지가 있습니다: [서버 워커 - Uvicorn과 함께하는 Gunicorn](server-workers.md){.internal-link target=_blank}.

이 이미지는 주로 위에서 설명된 상황에서 유용할 것입니다: [다중 프로세스를 가지는 컨테이너와 특수한 경우들](#containers-with-multiple-processes-and-special-cases).

* 🌐 Add Portuguese translation for `docs/pt/docs/deployment/server-workers.md`. PR [#12220](https://github.com/fastapi/fastapi/pull/12220) by [@marcelomarkus](https://github.com/marcelomarkus).

				errFileVersionNotFound,
				errFileCorrupt,
			) {
				missingBlocks++
			}
		}

		// if missing metadata can be reconstructed, attempt to reconstruct.
		// additionally do not heal delete markers inline, let them be
		// healed upon regular heal process.
		if missingBlocks > 0 && missingBlocks < fi.Erasure.DataBlocks {
			globalMRFState.addPartialOp(PartialOperation{
				Bucket:    fi.Volume,