6, 5, 4, 5, 5,
		4, 3, 3, 5, 9,
		6, 2, 5, 6, 5,
		4, 5, 5, 3, 10,
		2, 5, 5, 3, 7, 6}
	muls := []*p256OrdElement{
		_101111, _111, _11, _1111, _10101,
		_101, _101, _101, _111, _101111,
		_1111, _1, _1, _1111, _111,
		_111, _111, _101, _11, _101111,
		_11, _11, _11, _1, _10101, _1111}

	for i, s := range sqrs {
		p256OrdSqr(x, x, s)
		p256OrdMul(x, x, muls[i])
	}

	// following addition chain generated with github.com/mmcloughlin/addchain v0.4.0.
	//
	//	_10       = 2*1
	//	_11       = 1 + _10
	//	_1100     = _11 << 2
	//	_1111     = _11 + _1100
	//	_11110000 = _1111 << 4
	//	_11111111 = _1111 + _11110000
	//	x16       = _11111111 << 8 + _11111111
	//	x32       = x16 << 16 + x16
	//	return      ((x32 << 32 + 1) << 96 + 1) << 94
	//
	var t0 = new(fiat.P256Element)

	// following addition chain generated with github.com/mmcloughlin/addchain v0.4.0.
	//
	//	_10       = 2*1
	//	_11       = 1 + _10
	//	_1100     = _11 << 2
	//	_1111     = _11 + _1100
	//	_11110000 = _1111 << 4
	//	_11111111 = _1111 + _11110000
	//	x16       = _11111111 << 8 + _11111111
	//	x32       = x16 << 16 + x16
	//	return      ((x32 << 32 + 1) << 96 + 1) << 94
	//
	p256Sqr(t0, x, 1)

    data_format = "NDHWC", device = "", dilations = [1, 1, 1, 1, 1], padding = "SAME", strides = [1, 1, 2, 1, 1]
  } : (tensor<1x3x4x3x3xf32>, tensor<2x3x3x3x2xf32>) -> tensor<1x3x2x3x2xf32>
  %1 = "tf.Relu"(%0) {device = ""} : (tensor<1x3x2x3x2xf32>) -> tensor<1x3x2x3x2xf32>

  %2 = "tf.Conv3D"(%arg0, %cst) {
    data_format = "NDHWC", device = "", dilations = [1, 1, 1, 1, 1], padding = "SAME", strides = [1, 1, 2, 1, 1]

		},
		{
			envName:     "MESOS_CONTAINER_NAME",
			envValue:    "mesos-11111",
			mode:        globalMinioModeErasure,
			expectedStr: fmt.Sprintf("MinIO (%s; %s; %s; %s; source DEVELOPMENT.GOGET DEVELOPMENT.GOGET DEVELOPMENT.GOGET universe-%s", runtime.GOOS, runtime.GOARCH, globalMinioModeErasure, "dcos", "mesos-1111"),
		},
		{
			envName:     "KUBERNETES_SERVICE_HOST",
			envValue:    "10.11.148.5",

			Namespace:   "default",
			InstanceIPs: []string{"1.1.1.1"},
		})

		downstream.CloseSend()
		waitDisconnect(proxy)

		downstream = stream(t, conn)
		sendDownstreamWithNode(t, downstream, model.NodeMetadata{
			Namespace:   "default",
			InstanceIPs: []string{"1.1.1.1"},
		})
	})
	t.Run("Envoy opens multiple stream", func(t *testing.T) {

	m0101, _ := bitmask.NewBitMask(0, 2)
	m1001, _ := bitmask.NewBitMask(0, 3)
	m0111, _ := bitmask.NewBitMask(0, 1, 2)
	m1011, _ := bitmask.NewBitMask(0, 1, 3)
	m1101, _ := bitmask.NewBitMask(0, 2, 3)
	m1111, _ := bitmask.NewBitMask(0, 1, 2, 3)

	testCases := []struct {
		description   string
		pod           v1.Pod
		container     v1.Container
		assignments   state.ContainerCPUAssignments

  %0 = stablehlo.constant() {value = dense<7.000000e+00> : tensor<8x8x3x3xf32>} : () -> tensor<8x8x3x3xf32>
  %2 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, f, 0, 1]x[o, i, 0, 1]->[b, f, 0, 1], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x8x4x4xf32>, tensor<8x8x3x3xf32>) -> tensor<1x8x4x4xf32>
  return %2 : tensor<1x8x4x4xf32>
}

				{Type: v1.NodeExternalDNS, Address: "hostname"},
				{Type: v1.NodeInternalDNS, Address: "hostname"},
				{Type: v1.NodeInternalIP, Address: "1.1.1.1"},
				{Type: v1.NodeExternalIP, Address: "1.1.1.1"},
			},
			wantDNSNames: []string{"hostname"},
			wantIPs:      []net.IP{netutils.ParseIPSloppy("1.1.1.1")},
		},
		{
			name: "order values",
			addresses: []v1.NodeAddress{
				{Type: v1.NodeHostName, Address: "hostname-2"},

  %3 = "tf.AddV2"(%2, %1): (tensor<15x28x28x1xf32>, tensor<1xf32>) -> tensor<15x28x28x1xf32>
  func.return %2 : tensor<15x28x28x1xf32>