"//conditions:default": [],
    }),
    tags = [
        "no_cuda_asan",  # TODO(b/181771536)
        "no_windows",  # TODO(b/155444728)
    ],
    # We must ensure that the dependencies can be dynamically linked since
    # the shared library must be able to use core:framework.
    deps = [
        ":c_api",
        ":c_api_internal",
        ":c_test_util",
        ":test_op_kernel",
        ":tf_buffer",

	 * @param {number} options.progressPercent - Max percent of progress.
     * @param {string} options.cursor – Character to use for cursor, defaults to ▋.
     * @param {Object[]} lineData - Dynamically loaded line data objects.
     * @param {boolean} options.noInit - Don't initialise the animation.
     */
    constructor(container = '#termynal', options = {}) {

 *
 * Each connection can carry a varying number of streams, depending on the underlying protocol being
 * used. HTTP/1.x connections can carry either zero or one streams. HTTP/2 connections can carry any
 * number of streams, dynamically configured with `SETTINGS_MAX_CONCURRENT_STREAMS`. A connection
 * currently carrying zero streams is an idle stream. We keep it alive because reusing an existing
 * connection is typically faster than establishing a new one.
 *

}

func (s *NetServer) Stop() {
	log.Debug("stopping ztunnel server")
	s.ztunnelServer.Close()
}

func (s *NetServer) rescanPod(pod *corev1.Pod) error {
	// this can happen if the pod was dynamically added to the mesh after it was created.
	// in that case, try finding the netns using procfs.
	filter := map[types.UID]*corev1.Pod{
		pod.UID: pod,
	}
	return s.scanProcForPodsAndCache(filter)
}

		return c.repairPod(pod)
	} else if c.cfg.DeletePods {
		return c.deleteBrokenPod(pod)
	} else if c.cfg.LabelPods {
		return c.labelBrokenPod(pod)
	}
	return nil
}

// repairPod actually dynamically repairs a pod. This is done by entering the pods network namespace and setting up rules.
// This differs from the general CNI plugin flow, which triggers before the pod fully starts.

import java.util.concurrent.atomic.AtomicLong;

/**
 * One or more variables that together maintain an initially zero {@code long} sum. When updates
 * (method {@link #add}) are contended across threads, the set of variables may grow dynamically to
 * reduce contention. Method {@link #sum} (or, equivalently, {@link #longValue}) returns the current
 * total combined across the variables maintaining the sum.
 *

  // +optional
  map<string, string> parameters = 3;

  // reclaimPolicy controls the reclaimPolicy for dynamically provisioned PersistentVolumes of this storage class.
  // Defaults to Delete.
  // +optional
  optional string reclaimPolicy = 4;

  // mountOptions controls the mountOptions for dynamically provisioned PersistentVolumes of this storage class.
  // e.g. ["ro", "soft"]. Not validated -

	dynamicTimeoutLogSize              = 16
	maxDuration                        = math.MaxInt64
	maxDynamicTimeout                  = 24 * time.Hour // Never set timeout bigger than this.
)

// timeouts that are dynamically adapted based on actual usage results
type dynamicTimeout struct {
	timeout       int64
	minimum       int64
	entries       int64
	log           [dynamicTimeoutLogSize]time.Duration
	mutex         sync.Mutex

 * loader and prevent it from being garbage collected. This poses a problem for environments where
 * you want to throw away the class loader. For example, dynamically reloading a web application or
 * unloading an OSGi bundle.
 *
 * <p>{@code com.google.common.base.FinalizableReferenceQueue} loads this class in its own class

   * thread keeps an indirect strong reference to the queue in ReferenceMap, which keeps the
   * Finalizer running, and as a result, the application class loader can never be reclaimed.
   *
   * This means that dynamically loaded web applications and OSGi bundles can't be unloaded.
   *
   * If the library is loaded in an application class loader, we try to break the cycle by loading
   * Finalizer in its own independent class loader:
   *