dc045bebd58dbf547728ff2f34e1d9a0fcb916f9,test/aqua/test_partition.py,TestSetPacking,test_partition_vqe,#TestSetPacking#,55

Before Change

    def test_partition_vqe(self):
         Partition VQE test 
        algorithm_cfg = {
            "name": "VQE",
            "max_evals_grouped": 2

        }

        optimizer_cfg = {
            "name": "SPSA",
            "max_trials": 200
        }

        var_form_cfg = {
            "name": "RY",
            "depth": 5,
            "entanglement": "linear"
        }

        params = {
            "problem": {"name": "ising", "random_seed": 100},
            "algorithm": algorithm_cfg,
            "optimizer": optimizer_cfg,
            "variational_form": var_form_cfg
        }
        backend = BasicAer.get_backend("qasm_simulator")
        result = run_algorithm(params, self.algo_input, backend=backend)
        x = sample_most_likely(result["eigvecs"][0])
        self.assertNotEqual(x[0], x[1])
        self.assertNotEqual(x[2], x[1])  // hardcoded oracle

After Change

        x = sample_most_likely(result["eigvecs"][0])
        np.testing.assert_array_equal(x, [0, 1, 0])

    def test_partition_vqe(self):
         Partition VQE test 
        aqua_globals.random_seed = 100
        result = VQE(self.qubit_op,
                     RY(self.qubit_op.num_qubits, depth=5, entanglement="linear"),
                     SPSA(max_trials=200),
                     max_evals_grouped=2).run(
                         QuantumInstance(BasicAer.get_backend("qasm_simulator")))
        x = sample_most_likely(result["eigvecs"][0])
        self.assertNotEqual(x[0], x[1])
        self.assertNotEqual(x[2], x[1])  // hardcoded oracle

Instances