docstr: Tests the sparse matrix method for operations which support it.
docstr_tok: ["Tests","the","sparse","matrix","method","for","operations","which","support","it","."]
code: def test_sparse_matrix(self, op, mat):
      """Tests the sparse matrix method for operations which support it."""
      expected_sparse_mat = csr_matrix(mat)
      sparse_mat = op.sparse_matrix()
  
      assert isinstance(sparse_mat, csr_matrix)
      assert isinstance(expected_sparse_mat, csr_matrix)
      assert all(sparse_mat.data == expected_sparse_mat.data)
      assert all(sparse_mat.indices == expected_sparse_mat.indices)
  
imports: import copy
  import numpy
  import pytest
  from scipy.linalg import fractional_matrix_power
  from scipy.sparse import csr_matrix
  from scipy.stats import unitary_group
  from gate_data import CY, CZ
  import pennylane
  from pennylane.wires import Wires
  from pennylane.operation import AnyWires
  from pennylane.ops.qubit.matrix_ops import QubitUnitary
label_desc: Use image node_id 1 for calling the TestSparseMatrix obj's underlying member method code with example usage: obj.test_sparse_matrix(op, mat) without return types