}

func newPPC64ShiftAuxInt(sh, mb, me, sz int64) int32 {
	if sh < 0 || sh >= sz {
		panic("PPC64 shift arg sh out of range")
	}
	if mb < 0 || mb >= sz {
		panic("PPC64 shift arg mb out of range")
	}
	if me < 0 || me >= sz {
		panic("PPC64 shift arg me out of range")
	}
	return int32(sh<<16 | mb<<8 | me)
}

func GetPPC64Shiftsh(auxint int64) int64 {

(AndB ...) => (AND ...)
(OrB ...) => (OR ...)
(EqB x y) => (XORconst [1] (XOR <typ.Bool> x y))
(NeqB ...) => (XOR ...)
(Not x) => (XORconst [1] x)

// shifts
// hardware instruction uses only the low byte of the shift
// we compare to 256 to ensure Go semantics for large shifts
(Lsh32x32 x y) => (CMOVWHSconst (SLL <x.Type> x y) (CMPconst [256] y) [0])

		out := new(Int).Lsh(in, test.shift)
		out = out.Rsh(out, test.shift)

		if !isNormalized(out) {
			t.Errorf("#%d: %v is not normalized", i, *out)
		}
		if in.Cmp(out) != 0 {
			t.Errorf("#%d: got %s want %s", i, out, in)
		}
	}
	for i, test := range lshTests {
		in, _ := new(Int).SetString(test.in, 10)
		out := new(Int).Lsh(in, test.shift)
		out.Rsh(out, test.shift)

			sllOp, srlOp = ASLLW, ASRLW
		}
		shift1, shift2 := sllOp, srlOp
		if ins.as == AROR || ins.as == ARORW {
			shift1, shift2 = shift2, shift1
		}
		return []*instruction{
			&instruction{as: ASUB, rs1: REG_ZERO, rs2: ins.rs2, rd: REG_TMP},
			&instruction{as: shift2, rs1: ins.rs1, rs2: REG_TMP, rd: REG_TMP},
			&instruction{as: shift1, rs1: ins.rs1, rs2: ins.rs2, rd: ins.rd},

	case ssa.OpPPC64CLRLSLWI:
		r := v.Reg()
		r1 := v.Args[0].Reg()
		shifts := v.AuxInt
		p := s.Prog(v.Op.Asm())
		// clrlslwi ra,rs,mb,sh will become rlwinm ra,rs,sh,mb-sh,31-sh as described in ISA
		p.From = obj.Addr{Type: obj.TYPE_CONST, Offset: ssa.GetPPC64Shiftmb(shifts)}
		p.AddRestSourceConst(ssa.GetPPC64Shiftsh(shifts))
		p.Reg = r1
		p.To.Type = obj.TYPE_REG
		p.To.Reg = r

	case ssa.OpPPC64CLRLSLDI:

}

func.func @roll_scalar_axis(%arg0: tensor<3x8x4xi32>) -> tensor<3x8x4xi32> {
  %axis = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
  %shift = "tf.Const"() {value = dense<2> : tensor<i32>} : () -> tensor<i32>
  %0 = "tf.Roll"(%arg0, %shift, %axis) : (tensor<3x8x4xi32>, tensor<i32>, tensor<i32>) -> tensor<3x8x4xi32>
  func.return %0 : tensor<3x8x4xi32>
  // CHECK-LABEL: roll_scalar_axis

	if !w.Exited() {
		return -1
	}
	return int(w>>shift) & 0xFF
}

func (w WaitStatus) Signal() syscall.Signal {
	if !w.Signaled() {
		return -1
	}
	return syscall.Signal(w & mask)
}

func (w WaitStatus) StopSignal() syscall.Signal {
	if !w.Stopped() {
		return -1
	}
	return syscall.Signal(w>>shift) & 0xFF
}

func (w WaitStatus) TrapCause() int {

	}

	print1 := func(off, sz, slotIdx uint8) {
		x := readUnaligned64(add(argp, uintptr(off)))
		// mask out irrelevant bits
		if sz < 8 {
			shift := 64 - sz*8
			if goarch.BigEndian {
				x = x >> shift
			} else {
				x = x << shift >> shift
			}
		}
		print(hex(x))
		if !isLive(off, slotIdx) {
			print("?")
		}
	}

	start := true
	printcomma := func() {
		if !start {

          op, "require the type of input to have static shapes");
    }

    DenseIntElementsAttr shift_attr;
    Value shift = tf_roll_op.getShift();
    auto shift_ranked_attr_type =
        mlir::dyn_cast<RankedTensorType>(shift.getType());
    if (!shift_ranked_attr_type ||
        !matchPattern(shift, m_Constant(&shift_attr))) {
      return failure();
    }

    DenseIntElementsAttr axis_attr;

// AddDate arguments can produce a different shift in absolute time depending on
// the base Time value and its Location. For example, AddDate(0, 0, 1) applied
// to 12:00 on March 27 always returns 12:00 on March 28. At some locations and
// in some years this is a 24 hour shift. In others it's a 23 hour shift due to
// daylight savings time transitions.
//