// non-profitable and allows to confirm that spinning does not do harm.
	// To achieve this we create excess of goroutines most of which do local work.
	// These goroutines yield during local work, so that switching from
	// a blocked goroutine to other goroutines is profitable.
	// As a matter of fact, this benchmark still triggers some spinning in the mutex.
	m := NewDRWMutex(ds, "")
	var acc0, acc1 uint64

Some, such as atomic compare-and-swap, are both read-like and write-like.
</p>

<p>
A <i>goroutine execution</i> is modeled as a set of memory operations executed by a single goroutine.
</p>

<p>
<b>Requirement 1</b>:
The memory operations in each goroutine must correspond to a correct sequential execution of that goroutine,
given the values read from and written to memory.

        ),
        self.query(
          'Objects ({{pod}})',
          sum(rate(labels('go_memstats_mallocs_total', appLabels)), by=['pod'])
        ),
      ],

      goroutines:
        self.query(
          'Goroutines ({{pod}})',
          sum(labels('go_goroutines', appLabels), by=['pod'])
        ),

      connections:
        [
          self.query(
            'Opened ({{pod}})',

	} else {
		schemaCacheKey = modelType
	}

	// Load exist schema cache, return if exists
	if v, ok := cacheStore.Load(schemaCacheKey); ok {
		s := v.(*Schema)
		// Wait for the initialization of other goroutines to complete
		<-s.initialized
		return s, s.err
	}

	modelValue := reflect.New(modelType)
	tableName := namer.TableName(modelType.Name())
	if tabler, ok := modelValue.Interface().(Tabler); ok {

                  "uid": "$datasource"
               },
               "expr": "sum by (pod) (go_goroutines{app=\"istiod\"})",
               "legendFormat": "Goroutines ({{pod}})"
            }
         ],
         "title": "Goroutines",
         "type": "timeseries"
      },
      {
         "collapsed": false,
         "gridPos": {
            "h": 1,
            "w": 24,
            "x": 0,

          "expr": "go_goroutines{app=\"istiod\"}",
          "format": "time_series",
          "intervalFactor": 2,
          "legendFormat": "Number of Goroutines",
          "refId": "A",
          "step": 2
        }
      ],
      "title": "Goroutines",
      "type": "timeseries"
    }
  ],
  "refresh": "",
  "schemaVersion": 38,
  "style": "dark",
  "tags": [],
  "templating": {

## Teknik Detaylar

Python'un modern versiyonlarında **`async` ve `await`** sözdizimi ile **"coroutines"**  kullanan **"asenkron kod"** desteğine sahiptir.

Bu ifadeyi aşağıdaki bölümlerde daha da ayrıntılı açıklayalım:

* **Asenkron kod**
* **`async` ve `await`**
* **Coroutines**

## Asenkron kod

			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