class_docstr: Tests for sparse hamiltonian observable
class_docstr_tok: ["Tests","for","sparse","hamiltonian","observable"]
docstr: Test that iniatilization raises a ValueError if the shape is not correct for the number of wires.
docstr_tok: ["Test","that","iniatilization","raises","a","ValueError","if","the","shape","is","not","correct","for","the","number","of","wires","."]
code: def test_valueeror_shape(self):
      """Test that iniatilization raises a ValueError if the shape is not correct for the number of wires."""
      mat = csr_matrix([[1, 0], [0, 1]])
      with pytest.raises(
          ValueError,
          match=r"Sparse Matrix must be of shape \(4, 4\). Got \(2, 2\).",
      ):
          qml.SparseHamiltonian(mat, wires=(0, 1))
  
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 2 for calling the TestSparse obj's underlying member method code with example usage: obj.test_valueeror_shape() without return types