func updateStorageVersionFor(c Client, apiserverID string, gr schema.GroupResource, encodingVersion string, decodableVersions []string, servedVersions []string) error {
	retries := 3
	var retry int
	var err error
	for retry < retries {
		err = singleUpdate(c, apiserverID, gr, encodingVersion, decodableVersions, servedVersions)
		if err == nil {
			return nil
		}

	c.i += time.Second
	return t
}

func TestRetry(t *testing.T) {
	o := DefaultOption()
	o.InitialInterval = 1 * time.Microsecond
	ebf := NewExponentialBackOff(o)

	// Run a task that fails the first time and retries.
	wg := sync.WaitGroup{}
	wg.Add(2)
	failed := false
	err := ebf.RetryWithContext(context.TODO(), func() error {
		defer wg.Done()
		if failed {
			return nil
		}
		failed = true

    MINIO_ROOT_PASSWORD: "minio123"
    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1

  virtual Status SetOrUpdateServerDef(const ServerDef& server_def,
                                      bool reset_context, int keep_alive_secs,
                                      int64_t init_timeout_in_ms, int retries,
                                      bool clear_existing_contexts = false) = 0;

  // Initializes context for the local worker and no contexts will be created

	// NodeMonitorGracePeriod is the amount of time which we allow a running node to be
	// unresponsive before marking it unhealthy. Must be N times more than kubelet's
	// nodeStatusUpdateFrequency, where N means number of retries allowed for kubelet
	// to post node status.
	NodeMonitorGracePeriod metav1.Duration
	// secondaryNodeEvictionRate is implicitly overridden to 0 for clusters smaller than or equal to largeClusterSizeThreshold

        self._http = urllib3.PoolManager(
            timeout=urllib3.Timeout.DEFAULT_TIMEOUT,
            maxsize=10,
            cert_reqs='CERT_NONE',
            ca_certs=ca_certs,
            retries=urllib3.Retry(
                total=5,
                backoff_factor=0.2,
                status_forcelist=[500, 502, 503, 504]
            )
        )

    def load(self):
        """

	}
	return results.Success, nil
}

// runProbeWithRetries tries to probe the container in a finite loop, it returns the last result
// if it never succeeds.
func (pb *prober) runProbeWithRetries(ctx context.Context, probeType probeType, p *v1.Probe, pod *v1.Pod, status v1.PodStatus, container v1.Container, containerID kubecontainer.ContainerID, retries int) (probe.Result, string, error) {
	var err error
	var result probe.Result

     */
    void setOutputPerTestCase(boolean outputPerTestCase);

    /**
     * Whether reruns or retries of a test should be merged into a combined testcase.
     *
     * When enabled, the XML output will be very similar to the surefire plugin of Apache Maven™ when enabling reruns.
     * If a test fails but is then retried and succeeds, its failures will be recorded as {@code <flakyFailure>}

### Choosing between application and network interceptors

Each interceptor chain has relative merits.

**Application interceptors**

 * Don't need to worry about intermediate responses like redirects and retries.
 * Are always invoked once, even if the HTTP response is served from the cache.
 * Observe the application's original intent. Unconcerned with OkHttp-injected headers like `If-None-Match`.

type BatchJobRetry struct {
	line, col int
	Attempts  int           `yaml:"attempts" json:"attempts"` // number of retry attempts
	Delay     time.Duration `yaml:"delay" json:"delay"`       // delay between each retries
}

var _ yaml.Unmarshaler = &BatchJobRetry{}

// UnmarshalYAML - BatchJobRetry extends unmarshal to extract line, column information
func (r *BatchJobRetry) UnmarshalYAML(val *yaml.Node) error {