At least one argument is required to run this tool.

EXAMPLE:
     ./pprofgoparser --time 50m --margin 1m /path/to/*-goroutines-before,debug=2.txt
`

func main() {
	flag.Parse()

	if len(flag.Args()) == 0 {
		log.Fatal(helpUsage)
	}

	var err error

	goroutinesRE = regexp.MustCompile(`^goroutine [0-9]+ \[[^,]+(, ([0-9]+) minutes)?\]:$`)

	if searchText != "" {
		searchRE, err = regexp.Compile(searchText)

		for _, g := range leaked {
			t.Errorf("Leaked goroutine: %v", g)
		}
		return
	}
}

// DetectTestLeak -  snapshots the currently running goroutines and returns a
// function to be run at the end of tests to see whether any
// goroutines leaked.
// Usage: `defer DetectTestLeak(t)()` in beginning line of benchmarks or unit tests.

      panels.timeSeries.base('CPU Usage', queries.cpuUsage, 'CPU usage of each running instance'),
      panels.timeSeries.base('Goroutines', queries.goroutines, 'Goroutine count for each running instance'),
    ]),
  ], panelHeight=10, startY=1)
  + g.util.grid.makeGrid([
    row.new('Push Information')
    + row.withPanels([
      panels.timeSeries.xdsPushes(

	// 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 {

		db.Mux.RUnlock()
		// wait for other goroutines prepared
		<-stmt.prepared
		if stmt.prepareErr != nil {
			return Stmt{}, stmt.prepareErr
		}

		return *stmt, nil
	}
	db.Mux.RUnlock()

	db.Mux.Lock()
	// double check
	if stmt, ok := db.Stmts[query]; ok && (!stmt.Transaction || isTransaction) {
		db.Mux.Unlock()
		// wait for other goroutines prepared
		<-stmt.prepared
		if stmt.prepareErr != nil {

                  "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,

		return err
	default:
	}
	if _, err := b.store.PutMultiple(b.items); err != nil {
		return err
	}
	b.items = make([]I, 0, b.limit)
	return nil
}

// Close commits the pending items and quits the goroutines
func (b *Batch[I]) Close() error {
	defer func() {
		close(b.quitCh)
	}()

	b.Lock()
	defer b.Unlock()
	return b.commit()
}

// NewBatch creates a new batch