class_docstr: Tests for sparse hamiltonian observable
class_docstr_tok: ["Tests","for","sparse","hamiltonian","observable"]
docstr: Tests if the __mul__ method of SparseHamiltonian throws the correct error.
docstr_tok: ["Tests","if","the","__mul__","method","of","SparseHamiltonian","throws","the","correct","error","."]
code: def test_scalar_multipication_typeerror(self, sparse_hamiltonian):
      """Tests if the __mul__ method of SparseHamiltonian throws the correct error."""
      value = [0.1234]
      num_wires = int(np.log2(len(sparse_hamiltonian)))
      H = csr_matrix(SPARSEHAMILTONIAN_TEST_MATRIX)
  
      with pytest.raises(
          TypeError,
          match="Scalar value must be an int or float. Got <class 'list'>",
      ):
          _ = qml.SparseHamiltonian(H, wires=range(num_wires)) * value
  
file_path: pennylane/tests/ops/qubit/test_sparse.py
imports: import pytest
  import numpy
  from scipy.sparse import coo_matrix, csr_matrix
  import pennylane
label_desc: Use image node_id 12 for calling the TestSparse obj's underlying member method code with example usage: obj.test_scalar_multipication_typeerror(sparse_hamiltonian) without return types