class_docstr: Test running model for a scalar ODE with 1 parameter
code: def test_list_shape(self):
      with pytest.raises(
          ValueError, match="returned a 2-dimensional tensor"
      ):
  
          def system_2d_list(y, t, p):
              s0 = np.exp(-t) - p[0] * y[0]
              s1 = np.exp(-t) - p[0] * y[1]
              s2 = np.exp(-t) - p[0] * y[2]
              s3 = np.exp(-t) - p[0] * y[3]
              return [[s0, s1], [s2, s3]]
  
          DifferentialEquation(
              func=system_2d_list,
              t0=0,
              times=self.times,
              n_states=4,
              n_theta=1,
          )
  
imports: import warnings
  import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  from scipy.stats import norm
  import pymc
  from pymc.ode import DifferentialEquation
  from pymc.testing import fast_unstable_sampling_mode
label_desc: Use image node_id 10 for calling the TestErrors obj's underlying member method code with example usage: obj.test_list_shape() and returns: list