class_docstr: Tests for the expand_matrix helper function.
class_docstr_tok: ["Tests","for","the","expand_matrix","helper","function","."]
docstr: Tests differentiation in autograd by computing the Jacobian of
  the expanded matrix with respect to the canonical matrix.
docstr_tok: ["Tests","differentiation","in","autograd","by","computing","the","Jacobian","of","the","expanded","matrix","with","respect","to","the","canonical","matrix","."]
code: def test_autograd(self, i, base_matrix, tol):
      """Tests differentiation in autograd by computing the Jacobian of
      the expanded matrix with respect to the canonical matrix."""
  
      base_matrix = pnp.array(base_matrix, requires_grad=True)
      jac_fn = qml.jacobian(self.func_for_autodiff)
      jac = jac_fn(base_matrix)
  
      assert np.allclose(jac, self.expected_autodiff[i], atol=tol)
  
imports: from functools import reduce
  import numpy
  import pytest
  from gate_data import CNOT, II, SWAP, I, Toffoli
  from scipy.sparse import csr_matrix
  import pennylane
  from pennylane import numpy
label_desc: Use image node_id 9 for calling the TestExpandMatrix obj's underlying member method code with example usage: obj.test_autograd(i, base_matrix, tol) without return types