}
	if s1.Contains(5) {
		panic(fmt.Sprintf("(%v).Contains(5) == true, want false", s1))
	}
	vals := s1.Values()
	sort.Ints(vals)
	w1 := []int{1, 2, 3, 4}
	if !a.SliceEqual(vals, w1) {
		panic(fmt.Sprintf("(%v).Values() == %v, want %v", s1, vals, w1))
	}
}

func TestEqual() {
	s1 := a.Make[string]()
	s2 := a.Make[string]()
	if !a.Equal(s1, s2) {

// autos are all linked into a ring.
//
//go:noinline
func (v V) autos_ssa(which, w1, x1, w2, x2 int64) (y, z V) {
	fill_ssa(v.w, v.x, &v, v.p) // gratuitous no-op to force addressing
	var a, b, c, d, e, f, g, h V
	fill_ssa(w1, x1, &a, &b)
	fill_ssa(w1, x2, &b, &c)
	fill_ssa(w1, v.x, &c, &d)
	fill_ssa(w2, x1, &d, &e)
	fill_ssa(w2, x2, &e, &f)
	fill_ssa(w2, v.x, &f, &g)

replace (
	example.net/w v0.1.0 => ./w1
	example.net/w v0.2.0-pre => ./w2-pre
	example.net/x v0.1.0 => ./x1
	example.net/x v0.2.0-pre => ./x2-pre
	example.net/y v0.1.0 => ./y1
	example.net/y v0.2.0-pre => ./y2-pre
	example.net/z v0.1.0 => ./z1
	example.net/z v0.2.0-pre => ./z2-pre
)
-- w1/go.mod --
module example.net/w

go 1.16

require (
	example.net/y v0.2.0-pre
	example.net/z v0.2.0-pre
)

// PerTensor: %[[w1:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>
// PerTensor: %[[dq_w1:.*]] = "tfl.dequantize"(%[[w1]]) : (tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<64x3x3x3xf32>
// PerTensor: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %[[w1]], %[[b]])

const blockSize = 64 // A DCT block is 8x8.

type block [blockSize]int32

const (
	w1 = 2841 // 2048*sqrt(2)*cos(1*pi/16)
	w2 = 2676 // 2048*sqrt(2)*cos(2*pi/16)
	w3 = 2408 // 2048*sqrt(2)*cos(3*pi/16)
	w5 = 1609 // 2048*sqrt(2)*cos(5*pi/16)
	w6 = 1108 // 2048*sqrt(2)*cos(6*pi/16)
	w7 = 565  // 2048*sqrt(2)*cos(7*pi/16)

	w1pw7 = w1 + w7
	w1mw7 = w1 - w7
	w2pw6 = w2 + w6
	w2mw6 = w2 - w6
	w3pw5 = w3 + w5
	w3mw5 = w3 - w5

	}

	m2 := _Metric2[int, float64]{}
	m2.Add(1, 1)
	m2.Add(2, 2)
	m2.Add(3, 3)
	m2.Add(3, 3)
	k1, k2 := m2.Metrics()

	sort.Ints(k1)
	w1 := []int{1, 2, 3}
	if !_SlicesEqual(k1, w1) {
		panic(fmt.Sprintf("_Metric2.Metrics first slice = %v, want %v", k1, w1))
	}

	sort.Float64s(k2)
	w2 := []float64{1, 2, 3}
	if !_SlicesEqual(k2, w2) {
		panic(fmt.Sprintf("_Metric2.Metrics first slice = %v, want %v", k2, w2))

                list.add((WebConfig) crawlingConfigHelper.getCrawlingConfig("W2"));
                list.add((WebConfig) crawlingConfigHelper.getCrawlingConfig("W3"));
                return list;
            }
        }, WebConfigBhv.class.getCanonicalName());
        final List<WebConfig> configList = crawlingConfigHelper.getWebConfigListByIds(List.of("W1", "W2", "W3"));

	}
	if s1.Contains(5) {
		panic(fmt.Sprintf("(%v).Contains(5) == true, want false", s1))
	}
	vals := s1.Values()
	sort.Ints(vals)
	w1 := []int{1, 2, 3, 4}
	if !_SliceEqual(vals, w1) {
		panic(fmt.Sprintf("(%v).Values() == %v, want %v", s1, vals, w1))
	}
}

func TestEqual() {
	s1 := _Make[string]()
	s2 := _Make[string]()
	if !_Equal(s1, s2) {

// CHECK-LABEL: strips_attributes
// CHECK-NOT: tf
func.func @strips_attributes(%arg0: tensor<32x28x28x1xf32> {tf._user_specified_name = "x"},
                             %arg1: tensor<3x3x1x5xf32> {tf._user_specified_name = "w1"},
                             %arg2: tensor<5xf32> {tf._user_specified_name = "b1"},
                             %arg3: tensor<3920x10xf32> {tf._user_specified_name = "w2"},

		t.Fatalf("Unable start event watcher: '%v' (will not retry!)", err)
	}
	go func(w0, w1 Interface) {
		// We know Broadcaster is in the distribute loop once one watcher receives
		// an event. Stop the other watcher while distribute is trying to
		// send to it.
		select {
		case <-w0.ResultChan():
			w1.Stop()
		case <-w1.ResultChan():
			w0.Stop()
		}
		close(done)
	}(w, w2)
	m.Action(Added, &myType{})