class_docstr: Tests for sparse hamiltonian observable
class_docstr_tok: ["Tests","for","sparse","hamiltonian","observable"]
docstr: Test that the SparseHamiltonian class raises a TypeError on incorrect inputs.
docstr_tok: ["Test","that","the","SparseHamiltonian","class","raises","a","TypeError","on","incorrect","inputs","."]
code: def test_sparse_typeerror(self, sparse_hamiltonian):
      """Test that the SparseHamiltonian class raises a TypeError on incorrect inputs."""
      mat = np.array([[1, 0], [-1.5, 0]])
      sparse_hamiltonian = coo_matrix(mat)
  
      with pytest.raises(
          TypeError,
          match="Observable must be a scipy sparse csr_matrix",
      ):
          qml.SparseHamiltonian(sparse_hamiltonian, wires=0)
  
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 3 for calling the TestSparse obj's underlying member method code with example usage: obj.test_sparse_typeerror(sparse_hamiltonian) without return types