class_docstr: Tests for sparse hamiltonian observable
class_docstr_tok: ["Tests","for","sparse","hamiltonian","observable"]
docstr: Tests that SparseHamiltonian can be used as expected when the operator wires don't cover
  all device wires.
docstr_tok: ["Tests","that","SparseHamiltonian","can","be","used","as","expected","when","the","operator","wires","do","n't","cover","all","device","wires","."]
code: def test_sparse_no_all_wires_error(self, tol):
      """Tests that SparseHamiltonian can be used as expected when the operator wires don't cover
      all device wires."""
      dev = qml.device("default.qubit", wires=6, shots=None)
  
      hamiltonian = qml.SparseHamiltonian(
          csr_matrix(H_hydrogen), wires=range(4)
      )
  
      @qml.qnode(dev, diff_method="parameter-shift")
      def circuit():
          qml.PauliX(0)
          qml.PauliX(1)
          qml.PauliZ(1)
          return qml.expval(hamiltonian)
  
      expected_state = np.zeros((64, 1))
      expected_state[48, 0] = -1
  
      expected = (
          expected_state.conj().T
          @ qml.matrix(hamiltonian, wire_order=range(6))
          @ expected_state
      )
      assert np.allclose(circuit(), expected, atol=tol, rtol=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 8 for calling the TestSparse obj's underlying member method code with example usage: obj.test_sparse_no_all_wires_error(tol) and returns: qml