b.ResetTimer()
	b.ReportAllocs()

	// This benchmark models a situation where spinning in the mutex should be
	// profitable. To achieve this we create a goroutine per-proc.
	// These goroutines access considerable amount of local data so that
	// unnecessary rescheduling is penalized by cache misses.
	m := NewDRWMutex(ds, "")
	var acc0, acc1 uint64
	b.RunParallel(func(pb *testing.PB) {
		var data [16 << 10]uint64

//     token: "Bearer xxxxx" # optional authentication token for the notification endpoint

//   retry:
//     attempts: 10 # number of retries for the job before giving up
//     delay: "500ms" # least amount of delay between each retry

//go:generate msgp -file $GOFILE -unexported

// BatchKeyRotationType defines key rotation type
type BatchKeyRotationType string

const (
	sses3  BatchKeyRotationType = "sse-s3"

pkg image, func NewNYCbCrA(Rectangle, YCbCrSubsampleRatio) *NYCbCrA
pkg image, method (*NYCbCrA) AOffset(int, int) int
pkg image, method (*NYCbCrA) At(int, int) color.Color
pkg image, method (*NYCbCrA) Bounds() Rectangle
pkg image, method (*NYCbCrA) COffset(int, int) int
pkg image, method (*NYCbCrA) ColorModel() color.Model
pkg image, method (*NYCbCrA) NYCbCrAAt(int, int) color.NYCbCrA
pkg image, method (*NYCbCrA) Opaque() bool

			clause.Expression = nil
			tx.Statement.Clauses["SELECT"] = clause
		}
	case string:
		if strings.Count(v, "?") >= len(args) && len(args) > 0 {
			tx.Statement.AddClause(clause.Select{
				Distinct:   db.Statement.Distinct,
				Expression: clause.Expr{SQL: v, Vars: args},
			})
		} else if strings.Count(v, "@") > 0 && len(args) > 0 {
			tx.Statement.AddClause(clause.Select{
				Distinct:   db.Statement.Distinct,

		Value:  xhttp.DefaultIdleTimeout,
		Usage:  "idle timeout is the maximum amount of time to wait for the next request when keep-alive are enabled",
		EnvVar: "MINIO_IDLE_TIMEOUT",
		Hidden: true,
	},
	cli.DurationFlag{
		Name:   "read-header-timeout",
		Value:  xhttp.DefaultReadHeaderTimeout,
		Usage:  "read header timeout is the amount of time allowed to read request headers",
		EnvVar: "MINIO_READ_HEADER_TIMEOUT",

	}

	allErrs := make([]error, 0, len(objsToDel))

	for {
		count := len(objsToDel)
		if count == 0 {
			break
		}
		if count > maxDeleteList {
			count = maxDeleteList
		}
		_, errs := api.DeleteObjects(ctx, r.Bucket, objsToDel[:count], opts)
		allErrs = append(allErrs, errs...)
		// Next batch of deletion
		objsToDel = objsToDel[count:]
	}

	return allErrs
}

const (

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],

**Note**: this is a very technical detail that you probably can **just skip**.

---

The `APIRouter`s are not "mounted", they are not isolated from the rest of the application.

This is because we want to include their *path operations* in the OpenAPI schema and the user interfaces.

As we cannot just isolate them and "mount" them independently of the rest, the *path operations* are "cloned" (re-created), not included directly.

///

	}
	b1.Flush()
	if w1 != 3 {
		t.Fatalf("flush 1200 + 1389 'x's: got %d writes, want 3", w1)
	}
}

// A writeCountingDiscard is like io.Discard and counts the number of times
// Write is called on it.
type writeCountingDiscard int

func (w *writeCountingDiscard) Write(p []byte) (int, error) {
	*w++
	return len(p), nil
}

type negativeReader int

	}
}

// getScannedItemsCount - returns a count of all scanned items
func (h *healSequence) getScannedItemsCount() int64 {
	var count int64
	h.mutex.RLock()
	defer h.mutex.RUnlock()

	for _, v := range h.scannedItemsMap {
		count += v
	}
	return count
}

// getScannedItemsMap - returns map of all scanned items against type