res[n] = pl
		for _, port := range svc.Ports {
			targetPort := port.TargetPort
			// The svc.Ports represents the workloadapi.Service, which drops the port name info and just has numeric target Port.
			// TargetPort can be 0 which indicates its a named port. Check if its a named port and replace with the real targetPort if so.
			if named, f := svc.PortNames[int32(port.ServicePort)]; f && named.TargetPortName != "" {
				// Pods only match on TargetPort names

	// As a result, the condition in the below for loop will never be
	// satisfied (w.resourceVersion is never negative), this call will
	// never hit the w.cond.Wait().
	// As a result - we can optimize the code by not firing the wakeup
	// function (and avoid starting a gorotuine), especially given that
	// resourceVersion=0 is the most common case.
	if resourceVersion > 0 {
		go func() {

	tx = db.getInstance()
	var whereConds []interface{}

	for _, cond := range conds {
		if c, ok := cond.(clause.Interface); ok {
			tx.Statement.AddClause(c)
		} else if optimizer, ok := cond.(StatementModifier); ok {
			optimizer.ModifyStatement(tx.Statement)
		} else {
			whereConds = append(whereConds, cond)
		}
	}

	if len(whereConds) > 0 {

// PreEnqueueCheck is a function type. It's used to build functions that
// run against a Pod and the caller can choose to enqueue or skip the Pod
// by the checking result.
type PreEnqueueCheck func(pod *v1.Pod) bool

// SchedulingQueue is an interface for a queue to store pods waiting to be scheduled.
// The interface follows a pattern similar to cache.FIFO and cache.Heap and
// makes it easy to use those data structures as a SchedulingQueue.

    Service service = 2;
  }
}

// Service represents a service - a group of workloads that can be accessed together.
// The xds primary key is "namespace/hostname".
// Secondary (alias) keys are the unique `network/IP` pairs that the service can be reached at.
message Service {
  // Name represents the name for the service.
  // For Kubernetes, this is the Service name.
  string name = 1;

  // to CHLO and it is missing legalization to MHLO. Once that is done, this
  // pattern's benefit can be changed back to one as well as the fallback
  // lowering pattern for the op can be removed.
  //
  // Set benefit of this pattern to zero to prefer the fallback pattern when
  // available and applicable. That pattern avoids broadcast on operands and is
  // therefore faster.
  //

				t.Errorf("expected DisruptionsAllowed to be %d, but got %d", want, got)
			}

			cond := apimeta.FindStatusCondition(existingPDB.Status.Conditions, policyv1.DisruptionAllowedCondition)
			if want, got := tc.expectedReason, cond.Reason; want != got {
				t.Errorf("expected Reason to be %q, but got %q", want, got)
			}
		})
	}
}

  let description = [{
Implements generalized Tensor contraction and reduction. Each input Tensor must
have a corresponding input subscript appearing in the comma-separated left-hand
side of the equation. The right-hand side of the equation consists of the
output subscript. The input subscripts and the output subscript should consist
of zero or more named axis labels and at most one ellipsis (`...`).

	// A list of authorization policies applicable to this workload.
	// NOTE: this *only* includes Selector based policies. Namespace and global polices
	// are returned out of band.
	// Authorization policies are only valid for workloads with `addresses` rather than `hostname`.

*   Added `tf.keras.__internal__.KerasTensor`,`tf.keras.__internal__.SparseKerasTensor`, and `tf.keras.__internal__.RaggedKerasTensor` classes. You can use these classes to do instance type checking and type annotations for layer/model inputs and outputs.