}

func BenchmarkMutexSpin(b *testing.B) {
	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) {

		return nil, err
	}

	// All disks report unformatted we should initialized everyone.
	if shouldInitErasureDisks(sErrs) && firstDisk {
		logger.Info("Formatting %s pool, %v set(s), %v drives per set.",
			humanize.Ordinal(poolCount), setCount, setDriveCount)

		// Initialize erasure code format on disks
		format, err = initFormatErasure(GlobalContext, storageDisks, setCount, setDriveCount, deploymentID, sErrs)

* `fixedquery` : a pour valeur exacte `fixedquery`.
* `$` : se termine directement ensuite, n'a pas d'autres caractères après `fixedquery`.

Si vous vous sentez perdu avec le concept d'**expression régulière**, pas d'inquiétudes. Il s'agit d'une notion difficile pour beaucoup, et l'on peut déjà réussir à faire beaucoup sans jamais avoir à les manipuler.

    // Teredo obfuscates the mapped client port, per section 4 of the RFC.
    int port = ~ByteStreams.newDataInput(bytes, 10).readShort() & 0xffff;

    byte[] clientBytes = Arrays.copyOfRange(bytes, 12, 16);
    for (int i = 0; i < clientBytes.length; i++) {
      // Teredo obfuscates the mapped client IP, per section 4 of the RFC.
      clientBytes[i] = (byte) ~clientBytes[i];
    }

# Stop when "xargs" is not available.
if ! command -v xargs >/dev/null 2>&1
then
    die "xargs is not available"
fi

# Use "xargs" to parse quoted args.
#
# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
#
# In Bash we could simply go:
#
#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
#   set -- "${ARGS[@]}" "$@"
#

```Python hl_lines="1  8"
{!> ../../docs_src/extra_models/tutorial005.py!}
```

////

## Recap

Use multiple Pydantic models and inherit freely for each case.

 * This is for the benefit of container environments that implement code unloading.
 *
 * Most applications should share a process-wide [TaskRunner] and use queues for per-client work.
 */
class TaskRunner(
  val backend: Backend,
  internal val logger: Logger = TaskRunner.logger,
) {
  val lock: ReentrantLock = ReentrantLock()
  val condition: Condition = lock.newCondition()

       */
      C afterLower = requireNonNull(range.lowerBound.leastValueAbove(domain));
      C beforeUpper = requireNonNull(range.upperBound.greatestValueBelow(domain));
      // Per class spec, we are allowed to throw CCE if necessary
      empty = Range.compareOrThrow(afterLower, beforeUpper) > 0;
    }

    return empty
        ? new EmptyContiguousSet<C>(domain)

### Configure TLS

To enable TLS for MinIO containers, acquire TLS certificates from a CA or create self-signed certificates. While creating / acquiring certificates ensure the corresponding domain names are set as per the standard [DNS naming conventions](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#pod-identity) in a Kubernetes StatefulSet (for a distributed MinIO setup). Then create a secret using

```bash

 * bits.
 *
 * We split each code point into a 14-bit prefix and a 7-bit suffix. All code points with the same
 * prefix are called a 'section'. There are 128 code points per section.
 *
 * Ranges Data (32,612 bytes)
 * ==========================
 *
 * Each entry is 4 bytes, and represents a _range_ of code points that all share a common 14-bit