logger, ctx := ktesting.NewTestContext(t)
	ctx, cancel := context.WithCancel(ctx)
	defer cancel()
	q := NewTestQueue(ctx, newDefaultQueueSort())

	midPod := st.MakePod().Name("test-midpod").Namespace("ns1").UID("tp-mid").Priority(midPriority).NominatedNodeName("node1").Obj()
	highPod := st.MakePod().Name("test-highpod").Namespace("ns1").UID("tp-high").Priority(highPriority).NominatedNodeName("node1").Obj()
	q.Add(logger, midPod)

	if r1 == 0 {
		err = errnoErr(e1)
	}
	return
}

func EqualSid(sid1 *SID, sid2 *SID) (isEqual bool) {
	r0, _, _ := syscall.Syscall(procEqualSid.Addr(), 2, uintptr(unsafe.Pointer(sid1)), uintptr(unsafe.Pointer(sid2)), 0)
	isEqual = r0 != 0
	return
}

func FreeSid(sid *SID) (err error) {

// v.flag.mustBe(Bool), which will only bother to copy the
// single important word for the receiver.
func (f flag) mustBe(expected Kind) {
	// TODO(mvdan): use f.kind() again once mid-stack inlining gets better
	if Kind(f&flagKindMask) != expected {
		panic(&ValueError{valueMethodName(), f.kind()})
	}
}

// mustBeExported panics if f records that the value was obtained using

    * Add `compute_sparse_core_stats` for sparse core users to profile the
      data with this API to get the `max_ids` and `max_unique_ids`. These
      numbers will be needed to configure the sparse core embedding mid level
      api.
    * Remove the `preprocess_features` method since that's no longer needed.

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as: