class_docstr: Test convolution_matrix vs. numpy.convolve for various parameters.
class_docstr_tok: ["Test","convolution_matrix","vs.","numpy.convolve","for","various","parameters","."]
code: def test_bad_mode(self):
      # mode must be in ('full', 'valid', 'same')
      with pytest.raises(ValueError, match="mode.*must be one of"):
          convolution_matrix((1, 1), 4, mode="invalid argument")
  
imports: import pytest
  import numpy
  from numpy import arange, array, eye, copy, sqrt
  from numpy.testing import assert_equal, assert_array_equal, assert_array_almost_equal, assert_allclose
  from pytest import raises
  from scipy.fft import fft
  from scipy.special import comb
  from scipy.linalg import toeplitz, hankel, circulant, hadamard, leslie, dft, companion, kron, block_diag, helmert, hilbert, invhilbert, pascal, invpascal, fiedler, fiedler_companion, eigvals, convolution_matrix
  from numpy.linalg import cond
label_desc: Use image node_id 5 for calling the TestConvolutionMatrix obj's underlying member method code with example usage: obj.test_bad_mode() without return types