}
	return false
}

// flagConstant represents the result of a compile-time comparison.
// The sense of these flags does not necessarily represent the hardware's notion
// of a flags register - these are just a compile-time construct.
// We happen to match the semantics to those of arm/arm64.
// Note that these semantics differ from x86: the carry flag has the opposite
// sense on a subtraction!
//

	return f.Plugin.GetVolumeName(spec)
}

// CanSupport tests whether the plugin supports a given volume specification by
// testing volume spec name begins with plugin name or not.
// This is useful to choose plugin by volume in testing.
func (f *FakeBasicVolumePlugin) CanSupport(spec *volume.Spec) bool {
	return strings.HasPrefix(spec.Name(), f.GetPluginName())
}

  // gradient calculation is identical for both operators.
  //
  // There's a special case for propagating gradients when there are
  // multiple minima (or maxima) - we choose to divide the gradient
  // equally among all matching inputs.
  //
  // Please note this comment
  // https://github.com/tensorflow/tensorflow/issues/4886#issuecomment-256836063
  // for details.

)

// In all of these cases, the 1.17 compiler reports reasonable errors, but either the
// 1.17 or 1.18 compiler report extra errors, so we can't match correctly on both. We
// now set the patterns to match correctly on all the 1.18 errors.
// This list remains here just as a reference and for comparison - these files all pass.
var _ = setOf(

// There are never spaces at level 6 (unary), and always spaces at levels 3 and below.
//
// To choose the cutoff, look at the whole expression but excluding primary
// expressions (function calls, parenthesized exprs), and apply these rules:
//
//  1. If there is a binary operator with a right side unary operand
//     that would clash without a space, the cutoff must be (in order):
//

	DefaultPodMaxBackoffDuration time.Duration = 10 * time.Second
)

// 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.

	// generic types, this is the targs used to instantiate them. These targs
	// may be typeparams (for re-instantiated types such as Value[T2]) or
	// concrete types (for fully instantiated types such as Value[int]).
	// rparams is only set for named types that are generic or are fully
	// instantiated from a generic type, and is otherwise set to nil.
	// TODO(danscales): choose a better name.
	rparams *[]*Type
}

	// deserialize the session state.
	//
	// If UnwrapSession returns an error, the connection is terminated. If it
	// returns (nil, nil), the session is ignored. crypto/tls may still choose
	// not to resume the returned session.
	UnwrapSession func(identity []byte, cs ConnectionState) (*SessionState, error)

	// WrapSession is called on the server to produce a session ticket/identity.
	//

		t.Run(tc.desc, func(t *testing.T) {
			ctx := context.Background()
			imageListFunc := func() ([]kubecontainer.Image, error) {
				// today, imageListFunc is expected to return a sorted list,
				// but we may choose to sort in the setter at some future point
				// (e.g. if the image cache stopped sorting for us)
				sort.Sort(sliceutils.ByImageSize(tc.imageList))
				return tc.imageList, tc.imageListError
			}

  //
  // Future versions of the JMM may revise safe construction semantics in such a way that we can
  // safely publish these objects and we won't need this whole discussion.
  // TODO(user,lukes): consider adding volatile to all these fields since in current known JVMs
  // that should resolve the issue. This comes at the cost of adding more write barriers to the
  // implementations.