func (t *nonDeterministicTestingData) Less(i, j int) bool {
	if i < 0 || j < 0 || i >= t.Len() || j >= t.Len() {
		panic("nondeterministic comparison out of bounds")
	}
	return t.r.Float32() < 0.5
}
func (t *nonDeterministicTestingData) Swap(i, j int) {
	if i < 0 || j < 0 || i >= t.Len() || j >= t.Len() {
		panic("nondeterministic comparison out of bounds")
	}
}

func TestNonDeterministicComparison(t *testing.T) {

func sortIngressByCreationTime(ingr []*knetworking.Ingress) []*knetworking.Ingress {
	sort.Slice(ingr, func(i, j int) bool {
		// If creation time is the same, then behavior is nondeterministic. In this case, we can
		// pick an arbitrary but consistent ordering based on name and namespace, which is unique.
		// CreationTimestamp is stored in seconds, so this is not uncommon.

	} else {
		s.names = make([]LocalSlot, n)
	}
	names := s.names
	empty := LocalSlot{}
	for _, name := range f.Names {
		// Note: not "range f.NamedValues" above, because
		// that would be nondeterministic.
		for _, v := range f.NamedValues[*name] {
			if v.Op == OpArgIntReg || v.Op == OpArgFloatReg {
				aux := v.Aux.(*AuxNameOffset)
				// Never let an arg be bound to a differently named thing.

func sortByCreationComparator(configs []config.Config) func(i, j int) bool {
	return func(i, j int) bool {
		// If creation time is the same, then behavior is nondeterministic. In this case, we can
		// pick an arbitrary but consistent ordering based on name and namespace, which is unique.
		// CreationTimestamp is stored in seconds, so this is not uncommon.

   * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>
   * streams.
   *
   * <p>If the stream has nondeterministic order, this has equivalent semantics to {@link
   * Stream#findAny} (which you might as well use).
   *
   * @see Stream#findFirst()
   * @throws NullPointerException if the last element of the stream is null
   */

			})
		}
		return versionOk
	}

	r.loadPackages(ctx, []string{"all"}, findPackage)

	// Since we built up the candidate lists concurrently, they may be in a
	// nondeterministic order. We want 'go get' to be fully deterministic,
	// including in which errors it chooses to report, so sort the candidates
	// into a deterministic-but-arbitrary order.
	for _, q := range r.patternAllQueries {

	slices.SortStableFunc(services, func(a, b *Service) int {
		if r := a.CreationTime.Compare(b.CreationTime); r != 0 {
			return r
		}
		// If creation time is the same, then behavior is nondeterministic. In this case, we can
		// pick an arbitrary but consistent ordering based on name and namespace, which is unique.
		// CreationTimestamp is stored in seconds, so this is not uncommon.

		} else {
			r.markRemoved()
		}
		delete(need, r.Mod.Path)
	}

	// Add new entries in the last block of the file for any paths that weren't
	// already present.
	//
	// This step is nondeterministic, but the final result will be deterministic
	// because we will sort the block.
	for path, e := range need {
		f.AddNewRequire(path, e.version, e.indirect)
	}

	f.SortBlocks()
}

		if k == -1 {
			t.Fatalf("no newline after host link, output:\n%s", out)
		}
		out = out[:k]

		// filter out output file name, which is passed by the go
		// command and is nondeterministic.
		fs := bytes.Fields(out)
		for i, f := range fs {
			if bytes.Equal(f, []byte(`"-o"`)) && i+1 < len(fs) {
				fs[i+1] = []byte("a.out")
				break
			}
		}
		out = bytes.Join(fs, []byte{' '})

If `indices` contains duplicates, the associated `updates` are accumulated
(summed) into the output tensor.

**WARNING**: For floating-point data types, the output may be nondeterministic.
This is because the order in which the updates are applied is nondeterministic
and when floating-point numbers are added in different orders the resulting
numerical approximation error can be slightly different. However, the output