code: def test_dlsim_3(self, xp, scp):
      a = xp.asarray([[0.9, 0.1], [-0.2, 0.9]])
      b = xp.asarray([[0.4, 0.1, -0.1], [0.0, 0.05, 0.0]])
      c = xp.asarray([[0.1, 0.3]])
      d = xp.asarray([[0.0, -0.1, 0.0]])
      dt = 0.5
  
      # Create an input matrix with inputs down the columns (3 cols) and its
      # respective time input vector
      u = xp.hstack(
          (
              xp.linspace(0, 4.0, num=5)[:, None],
              xp.full((5, 1), 0.01),
              xp.full((5, 1), -0.002),
          )
      )
  
      # Interpolated control - inputs should have different time steps
      # than the discrete model uses internally
      u_sparse = u[[0, 4], :]
      t_sparse = xp.asarray([0.0, 2.0])
  
      tout, yout, xout = scp.signal.dlsim(
          (a, b, c, d, dt), u_sparse, t_sparse
      )
      return tout, yout, xout
  
imports: from math import sqrt, pi
  from pytest import raises
  import cupy
  from cupy import testing
  import cupyx.scipy.signal
label_desc: Use image node_id 3 for calling the TestDLTI obj's underlying member method code with example usage: obj.test_dlsim_3(xp, scp) and returns: tout,  yout,  xout