// with no arguments and no results, suitable for use in an OGO/ODEFER
// statement.
//
// For example, it normalizes:
//
//	f(x, y)
//
// into:
//
//	x1, y1 := x, y          // added to init
//	func() { f(x1, y1) }()  // result
func normalizeGoDeferCall(pos src.XPos, op ir.Op, call ir.Node, init *ir.Nodes) *ir.CallExpr {
	init.Append(ir.TakeInit(call)...)

			t.Errorf("#%d got %s want %s", i, z.utoa(10), out.utoa(10))
		}
	}
}

func FuzzExpMont(f *testing.F) {
	f.Fuzz(func(t *testing.T, x1, x2, x3, y1, y2, y3, m1, m2, m3 uint) {
		if m1 == 0 && m2 == 0 && m3 == 0 {
			return
		}
		x := new(Int).SetBits([]Word{Word(x1), Word(x2), Word(x3)})
		y := new(Int).SetBits([]Word{Word(y1), Word(y2), Word(y3)})
		m := new(Int).SetBits([]Word{Word(m1), Word(m2), Word(m3)})

from tensorflow.python.types import core
from tensorflow.python.util import tf_export

# A representative sample is a map of: input_key -> input_value.
# Ex.: {'dense_input': tf.constant([1, 2, 3])}
# Ex.: {'x1': np.ndarray([4, 5, 6]}
RepresentativeSample = Mapping[str, core.TensorLike]

# A representative dataset is an iterable of representative samples.
RepresentativeDataset = Iterable[RepresentativeSample]

	MOV	g, m_g0(X11)			// curm.g0 = g

	// switch to crashstack
	MOV	(g_stack+stack_hi)(g), X11
	SUB	$(4*8), X11
	MOV	X11, X2

	// call target function
	MOV	0(CTXT), X10
	JALR	X1, X10

	// should never return
	CALL	runtime·abort(SB)
	UNDEF

/*
 * support for morestack
 */

// Called during function prolog when more stack is needed.

	v3 := v1 + v1 + v1 ^ v1 | 3 + v1 ^ v1 | v1 ^ v1
	v1-- // dev.ssa doesn't see this one
	return v1 ^ v1*v1 - v3
}

func testSubConst(t *testing.T) {
	x1 := sub1_ssa()
	want1 := uint64(6)
	if x1 != want1 {
		t.Errorf("sub1_ssa()=%d, got %d", want1, x1)
	}
	x2 := sub2_ssa()
	want2 := uint8(251)
	if x2 != want2 {
		t.Errorf("sub2_ssa()=%d, got %d", want2, x2)
	}
}

//go:noinline

			x0 := p.getConstant(prog, op, &a[0])
			x1 := p.getConstant(prog, op, &a[1])
			x2 := int64(p.getRegister(prog, op, &a[2]))
			x3 := int64(p.getRegister(prog, op, &a[3]))
			x4 := int64(p.getRegister(prog, op, &a[4]))
			x5 := p.getConstant(prog, op, &a[5])
			// Cond is handled specially for this instruction.
			offset, MRC, ok := arch.ARMMRCOffset(op, cond, x0, x1, x2, x3, x4, x5)
			if !ok {

// dy_1/dx_m dy_2/dx_m ... dy_n/dx_m
//
// If x or y is complex, each complex entry is "expanded" into a real and
// imaginary entry, and the Jacobian is organized as above on the expanded list.
// e.g.
// [y1, y2] = Square([x1, x2]) where x and y are complex.
// Writing
// x = [x1_real, x1_imag, x2_real, x2_imag]
// y = [y1_real, y1_imag, y2_real, y2_imag]
// the Jacobian transpose is
// the 4x4 matrix:

	err = secondaryPrevious.Snapshot(&secondaryDST)
	if err != nil {
		t.Fatal(err)
	}

	fakeClient := fake.NewSimpleClientset(
		&corev1.Service{
			ObjectMeta: metav1.ObjectMeta{Namespace: "x1", Name: "one-v4-v6"},
			Spec: corev1.ServiceSpec{
				ClusterIP:  "192.168.1.1",
				ClusterIPs: []string{"192.168.1.1", "2000::1"},
				IPFamilies: []corev1.IPFamily{corev1.IPv4Protocol, corev1.IPv6Protocol},
			},

	d2[1], d2[0] = 0, 0 // arm64:"STP",-"MOVB",-"MOVH"
}

func loadstore(p, q *[4]uint8) {
	// amd64:"MOVL",-"MOVB"
	// arm64:"MOVWU",-"MOVBU"
	x0, x1, x2, x3 := q[0], q[1], q[2], q[3]
	// amd64:"MOVL",-"MOVB"
	// arm64:"MOVW",-"MOVB"
	p[0], p[1], p[2], p[3] = x0, x1, x2, x3
}

type S1 struct {
	a, b int16
}

func loadstore2(p, q *S1) {
	// amd64:"MOVL",-"MOVWLZX"
	// arm64:"MOVWU",-"MOVH"

	F5:   "%st(5)",
	F6:   "%st(6)",
	F7:   "%st(7)",
	M0:   "%mm0",
	M1:   "%mm1",
	M2:   "%mm2",
	M3:   "%mm3",
	M4:   "%mm4",
	M5:   "%mm5",
	M6:   "%mm6",
	M7:   "%mm7",
	X0:   "%xmm0",
	X1:   "%xmm1",
	X2:   "%xmm2",
	X3:   "%xmm3",
	X4:   "%xmm4",
	X5:   "%xmm5",
	X6:   "%xmm6",
	X7:   "%xmm7",
	X8:   "%xmm8",
	X9:   "%xmm9",
	X10:  "%xmm10",
	X11:  "%xmm11",
	X12:  "%xmm12",