"k8s.io/kubernetes/pkg/kubelet/lifecycle"
	"k8s.io/kubernetes/pkg/kubelet/pluginmanager/cache"
	schedulerframework "k8s.io/kubernetes/pkg/scheduler/framework"
)

// Manager manages all the Device Plugins running on a node.
type Manager interface {
	// Start starts device plugin registration service.

task sleep {
    doLast {
        println 'taking a nap...'
        Thread.sleep(10000)
        println 'finished the nap...'
    }
}
"""

        when:
        def sleeper = executer.withArguments('-i').withTasks('sleep').start()

        then:
        poll(60) {
            assert readLog(executer.daemonBaseDir).contains("taking a nap...")
        }

        when:

import java.util.concurrent.Executor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

/**
 * Base class for services that do not need a thread while "running" but may need one during startup
 * and shutdown. Subclasses can implement {@link #startUp} and {@link #shutDown} methods, each which
 * run in an executor which by default uses a separate thread for each method.
 *

	defaultBootstrapGraceperiod = 5 * time.Second
)

var (
	ErrNotReady = fmt.Errorf("configuration is not ready")
	ErrDisabled = fmt.Errorf("disabled")
)

type getFunc func() (runtime.Object, error)

// When running, poller calls `get` every `interval`. If `get` is
// successful, `Ready()` returns ready and `configuration()` returns the
// `mergedConfiguration`; if `get` has failed more than `failureThreshold ` times,

	fmt.Println(re.MatchString("Alan Turing"))
	fmt.Printf("%q\n", re.SubexpNames())
	reversed := fmt.Sprintf("${%s} ${%s}", re.SubexpNames()[2], re.SubexpNames()[1])
	fmt.Println(reversed)
	fmt.Println(re.ReplaceAllString("Alan Turing", reversed))
	// Output:
	// true
	// ["" "first" "last"]
	// ${last} ${first}
	// Turing Alan
}

func ExampleRegexp_SubexpIndex() {

        replicas taking part in sync training.
    *   Performance improvements for GPU multi-worker distributed training using
        `tf.distribute.experimental.MultiWorkerMirroredStrategy`
    *   Update NVIDIA `NCCL` to `2.5.7-1` for better performance and performance
        tuning. Please see

## Known Issues

* If you need to downgrade from 1.10 to 1.9.x, downgrade to v1.9.6 to ensure PV and PVC objects can be deleted properly.

> Configure project :app
BUILD SCRIPT: This is executed during the configuration phase       //<2>
REGISTER TASK1: This is executed during the configuration phase     //<2>
NAMED TASK1: This is executed during the configuration phase        //<2>

> Task :app:task1
NAMED TASK1 - doFirst: This is executed during the execution phase  //<3>
NAMED TASK1 - doLast: This is executed during the execution phase   //<3>

BUILD SUCCESSFUL in 25s

		return nil
	}

	var errs []error

	// If the coredns ConfigMap is missing, show a warning and assume that the
	// DNS addon was skipped during "kubeadm init", and that its redeployment on upgrade is not desired.
	//
	// TODO: remove this once "kubeadm upgrade apply" phases are supported:
	//   https://github.com/kubernetes/kubeadm/issues/1318

  import_config.upgrade_legacy = true;
  // Disable shape inference during import as some TensorFlow op fails during
  // shape inference with dynamic shaped operands. This in turn causes the
  // import to fail. Shape inference during import is going to be removed and
  // the shape inference pass is run early in the pass pipeline, shape inference
  // during import is not necessary.
  import_config.enable_shape_inference = false;