c.connChange.L.Unlock()
					return
				}
			case <-ctx.Done():
				c.connChange.L.Unlock()
				return
			}
		}
	}()

	for {
		select {
		case <-ctx.Done():
			return context.Cause(ctx)
		case newState := <-changed:
			if newState == StateConnected {
				return nil
			}
		}
	}
}

/*
var ErrDone = errors.New("done for now")

  // daemonset on any given node can double if the readiness check fails, and
  // so resource intensive daemonsets should take into account that they may
  // cause evictions during disruption.
  // +optional
  optional k8s.io.apimachinery.pkg.util.intstr.IntOrString maxSurge = 2;
}

// Spec to control the desired behavior of rolling update.
message RollingUpdateDeployment {

/**
 * Base class for JSR166 Junit TCK tests. Defines some constants, utility methods and classes, as
 * well as a simple framework for helping to make sure that assertions failing in generated threads
 * cause the associated test that generated them to itself fail (which JUnit does not otherwise
 * arrange). The rules for creating such tests are:
 *
 * <ol>

Nope ! C'est ça la morale de l'histoire.

La concurrence est différente du parallélisme. C'est mieux sur des scénarios **spécifiques** qui impliquent beaucoup d'attente. À cause de ça, c'est généralement bien meilleur que le parallélisme pour le développement d'applications web. Mais pas pour tout.

Donc pour équilibrer tout ça, imaginez l'histoire suivante :

	}
}

type dataAndEOFReader string

func (r dataAndEOFReader) Read(p []byte) (int, error) {
	return copy(p, r), io.EOF
}

func TestPeekThenUnreadRune(t *testing.T) {
	// This sequence used to cause a crash.
	r := NewReader(strings.NewReader("x"))
	r.ReadRune()
	r.Peek(1)
	r.UnreadRune()
	r.ReadRune() // Used to panic here
}

var testOutput = []byte("0123456789abcdefghijklmnopqrstuvwxy")

/**
 * Base class for JSR166 Junit TCK tests. Defines some constants, utility methods and classes, as
 * well as a simple framework for helping to make sure that assertions failing in generated threads
 * cause the associated test that generated them to itself fail (which JUnit does not otherwise
 * arrange). The rules for creating such tests are:
 *
 * <ol>

  // daemonset on any given node can double if the readiness check fails, and
  // so resource intensive daemonsets should take into account that they may
  // cause evictions during disruption.
  // +optional
  optional k8s.io.apimachinery.pkg.util.intstr.IntOrString maxSurge = 2;
}

// Spec to control the desired behavior of rolling update.
message RollingUpdateDeployment {

* Change maxsize to size in logrotate. ([#29128](https://github.com/kubernetes/kubernetes/pull/29128), [@bprashanth](https://github.com/bprashanth))
* Change setting "kubectl --record=false" to stop updating the change-cause when a previous change-cause is found. ([#28234](https://github.com/kubernetes/kubernetes/pull/28234), [@damemi](https://github.com/damemi))

			cancelCause(nil)
		}()
		send := func(oi ObjectInfo) bool {
			select {
			case results <- itemOrErr[ObjectInfo]{Item: oi}:
				return true
			case <-ctx.Done():
				sendErr(context.Cause(ctx))
				return false
			}
		}
		for entry := range merged {
			if opts.LatestOnly {
				fi, err := entry.fileInfo(bucket)
				if err != nil {
					sendErr(err)
					return
				}

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