- gopkg.in/warnings.v0: v0.1.1 → v0.1.2
- k8s.io/klog/v2: v2.90.1 → v2.100.1
- k8s.io/kube-openapi: 15aac26 → 2695361
- k8s.io/utils: a36077c → d93618c
- sigs.k8s.io/apiserver-network-proxy/konnectivity-client: v0.1.1 → v0.1.2
- sigs.k8s.io/kustomize/api: v0.13.2 → 6ce0bf3
- sigs.k8s.io/kustomize/cmd/config: v0.11.1 → v0.11.2
- sigs.k8s.io/kustomize/kustomize/v5: v5.0.1 → 6ce0bf3

		asm:          x86.AMULL,
		reg: regInfo{
			inputs: []inputInfo{
				{0, 1},   // AX
				{1, 255}, // AX CX DX BX SP BP SI DI
			},
			clobbers: 4, // DX
			outputs: []outputInfo{
				{1, 0},
				{0, 1}, // AX
			},
		},
	},
	{
		name:         "HMULL",
		argLen:       2,
		commutative:  true,
		clobberFlags: true,
		asm:          x86.AIMULL,
		reg: regInfo{

  right_shift_result = bitwise_ops.right_shift(lhs, rhs)

  print(right_shift_result)

# This will print:
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int8)
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int16)
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int32)
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int64)

lhs = np.array([-2, 64, 101, 32], dtype=np.int8)
rhs = np.array([-1, -5, -3, -14], dtype=np.int8)