class_docstr: Tests matrix applications on states and operations with larger numbers of wires.
class_docstr_tok: ["Tests","matrix","applications","on","states","and","operations","with","larger","numbers","of","wires","."]
docstr: Tests a four qubit GroverOperator.
docstr_tok: ["Tests","a","four","qubit","GroverOperator","."]
code: def test_grover(self, method, apply_wires):
      """Tests a four qubit GroverOperator."""
      op = qml.GroverOperator(apply_wires)
      new_state = method(op, self.state)
  
      expected_state = self.state
      for _op in op.decomposition():
          expected_state = method(_op, expected_state)
  
      assert qml.math.allclose(expected_state, new_state)
  
imports: from functools import reduce
  import pytest
  import numpy
  from scipy.stats import unitary_group
  import pennylane
  from pennylane.operation import _UNSET_BATCH_SIZE, Operation
  from pennylane.devices.qubit.apply_operation import apply_operation, apply_operation_einsum, apply_operation_tensordot
label_desc: Use image node_id 3 for calling the TestLargerOperations obj's underlying member method code with example usage: obj.test_grover(method, apply_wires) without return types