return buf.Bytes(), err
		}
	case madmin.ProfilerGoroutines:
		prof.ext = "txt"
		prof.record("goroutine", 1, "before")
		prof.record("goroutine", 2, "before,debug=2")
		prof.stopFn = func() ([]byte, error) {
			var buf bytes.Buffer
			err := pprof.Lookup("goroutine").WriteTo(&buf, 1)
			return buf.Bytes(), err
		}
	case madmin.ProfilerTrace:
		dirPath, err := os.MkdirTemp("", "profile")

               "intervalFactor": 2,
               "legendFormat": "{{cluster}} - {{namespace}}\n"
            }
         ],
         "title": "Goroutines",
         "type": "timeseries"
      },
      {
         "datasource": {
            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "fieldConfig": {

Всю функциональность асинхронного программирования с использованием `async` и `await`
часто обобщают словом "корутины". Они аналогичны <abbr title="Goroutines">"горутинам"</abbr>, ключевой особенности
языка Go.

## Заключение

В самом начале была такая фраза:

> Современные версии Python поддерживают разработку так называемого

Pero toda esta funcionalidad de usar código asincrónico con `async` y `await` se resume muchas veces como usar "coroutines". Es comparable a la característica principal de Go, las "Goroutines".

## Conclusión

Veamos la misma frase de arriba:

> Las versiones modernas de Python tienen soporte para **"código asíncrono"** usando algo llamado **"coroutines"**, con la sintaxis **`async` y `await`**.

Eso ya debería tener más sentido ahora. ✨

// Cancellation/timeouts are removed, so parent cancellations/timeout will
// not propagate from parent.
// Context values are preserved.
// This can be used for goroutines that live beyond the parent context.
func bgContext(parent context.Context) context.Context {
	return bgCtx{parent: parent}
}

type bgCtx struct {
	parent context.Context
}

## Conclusion

Reprenons la phrase du début de la page :

> Les versions modernes de Python supportent le **code asynchrone** grâce aux **"coroutines"** avec les syntaxes **`async` et `await`**.

Ceci devrait être plus compréhensible désormais. ✨

But all this functionality of using asynchronous code with `async` and `await` is many times summarized as using "coroutines". It is comparable to the main key feature of Go, the "Goroutines".

## Conclusion

Let's see the same phrase from above:

> Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax.

That should make more sense now. ✨

          "intervalFactor": 1,
          "legendFormat": "{{server}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Goroutines",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

	res := make(DailyAllTierStats, len(t.lastDayStats))
	for tier, st := range t.lastDayStats {
		res[tier] = st.clone()
	}
	return res
}

// UpdateWorkers at the end of this function leaves n goroutines waiting for
// transition tasks
func (t *transitionState) UpdateWorkers(n int) {
	t.mu.Lock()
	defer t.mu.Unlock()
	if t.objAPI == nil { // Init hasn't been called yet.
		return
	}
	t.updateWorkers(n)

### Other (Bug, Cleanup or Flake)

- Add delays between goroutines for vm instance update ([#88094](https://github.com/kubernetes/kubernetes/pull/88094), [@aramase](https://github.com/aramase)) [SIG Cloud Provider]