def test_get_data_by_id_order(dataset): """ Test that the added values of setpoints end up associated with the correct setpoint parameter, irrespective of the ordering of those setpoint parameters """ indepA = ParamSpecBase('indep1', "numeric") indepB = ParamSpecBase('indep2', "numeric") depAB = ParamSpecBase('depAB', "numeric") depBA = ParamSpecBase('depBA', "numeric") idps = InterDependencies_( dependencies={depAB: (indepA, indepB), depBA: (indepB, indepA)}) dataset.set_interdependencies(idps) dataset.mark_started() dataset.add_result({'depAB': 12, 'indep2': 2, 'indep1': 1}) dataset.add_result({'depBA': 21, 'indep2': 2, 'indep1': 1}) dataset.mark_completed() data = get_data_by_id(dataset.run_id) data_dict = {el['name']: el['data'] for el in data[0]} assert data_dict['indep1'] == 1 assert data_dict['indep2'] == 2 data_dict = {el['name']: el['data'] for el in data[1]} assert data_dict['indep1'] == 1 assert data_dict['indep2'] == 2
def standalone_parameters_dataset(dataset): n_params = 3 n_rows = 10**3 params_indep = [ ParamSpecBase(f'param_{i}', 'numeric', label=f'param_{i}', unit='V') for i in range(n_params) ] param_dep = ParamSpecBase(f'param_{n_params}', 'numeric', label=f'param_{n_params}', unit='Ohm') params_all = params_indep + [param_dep] idps = InterDependencies_( dependencies={param_dep: tuple(params_indep[0:1])}, standalones=tuple(params_indep[1:])) dataset.set_interdependencies(idps) dataset.mark_started() dataset.add_results([{ p.name: np.int(n_rows * 10 * pn + i) for pn, p in enumerate(params_all) } for i in range(n_rows)]) dataset.mark_completed() yield dataset
def test_write_data_to_text_file_length_exception(): dataset = new_data_set("dataset") xparam = ParamSpecBase("x", 'numeric') yparam = ParamSpecBase("y", 'numeric') zparam = ParamSpecBase("z", 'numeric') idps = InterDependencies_(dependencies={ yparam: (xparam, ), zparam: (xparam, ) }) dataset.set_interdependencies(idps) dataset.mark_started() results1 = [{'x': 0, 'y': 1}] results2 = [{'x': 0, 'z': 2}] results3 = [{'x': 1, 'z': 3}] dataset.add_results(results1) dataset.add_results(results2) dataset.add_results(results3) dataset.mark_completed() with tempfile.TemporaryDirectory() as temp_dir, pytest.raises( Exception, match='different length'): dataset.write_data_to_text_file(path=temp_dir, single_file=True, single_file_name='yz')
def test_adding_too_many_results(): """ This test really tests the "chunking" functionality of the insert_many_values function of the sqlite_base module """ dataset = new_data_set("test_adding_too_many_results") xparam = ParamSpecBase("x", "numeric", label="x parameter", unit='V') yparam = ParamSpecBase("y", 'numeric', label='y parameter', unit='Hz') idps = InterDependencies_(dependencies={yparam: (xparam,)}) dataset.set_interdependencies(idps) dataset.mark_started() n_max = qc.SQLiteSettings.limits['MAX_VARIABLE_NUMBER'] vals = np.linspace(0, 1, int(n_max/2)+2) results = [{'x': val} for val in vals] dataset.add_results(results) vals = np.linspace(0, 1, int(n_max/2)+1) results = [{'x': val, 'y': val} for val in vals] dataset.add_results(results) vals = np.linspace(0, 1, n_max*3) results = [{'x': val} for val in vals] dataset.add_results(results)
def test_set_interdependencies(dataset): exps = experiments() assert len(exps) == 1 exp = exps[0] assert exp.name == "test-experiment" assert exp.sample_name == "test-sample" assert exp.last_counter == 1 parameter_a = ParamSpecBase("a_param", "NUMERIC") parameter_b = ParamSpecBase("b_param", "NUMERIC") parameter_c = ParamSpecBase("c_param", "array") idps = InterDependencies_( inferences={parameter_c: (parameter_a, parameter_b)}) dataset.set_interdependencies(idps) # write the parameters to disk dataset.mark_started() # Now retrieve the paramspecs shadow_ds = make_shadow_dataset(dataset) paramspecs = shadow_ds.paramspecs expected_keys = ['a_param', 'b_param', 'c_param'] keys = sorted(list(paramspecs.keys())) assert keys == expected_keys for expected_param_name in expected_keys: ps = paramspecs[expected_param_name] assert ps.name == expected_param_name assert paramspecs == dataset.paramspecs
def test_numpy_nan(dataset): parameter_m = ParamSpecBase("m", "numeric") idps = InterDependencies_(standalones=(parameter_m, )) dataset.set_interdependencies(idps) dataset.mark_started() data_dict = [{"m": value} for value in [0.0, np.nan, 1.0]] dataset.add_results(data_dict) retrieved = dataset.get_data("m") assert np.isnan(retrieved[1])
def ds_with_vals(self, dataset): """ This fixture creates a DataSet with values that is to be used by all the tests in this class """ idps = InterDependencies_(standalones=(self.x, )) dataset.set_interdependencies(idps) dataset.mark_started() for xv in self.xvals: dataset.add_result({self.x.name: xv}) return dataset
def test_numpy_inf(dataset): """ Test that we can insert and retrieve numpy inf in the data set """ parameter_m = ParamSpecBase("m", "numeric") idps = InterDependencies_(standalones=(parameter_m, )) dataset.set_interdependencies(idps) dataset.mark_started() data_dict = [{"m": value} for value in [-np.inf, np.inf]] dataset.add_results(data_dict) retrieved = dataset.get_data("m") assert np.isinf(retrieved).all()
def test_numpy_floats(dataset): """ Test that we can insert numpy floats in the data set """ float_param = ParamSpecBase('y', 'numeric') idps = InterDependencies_(standalones=(float_param, )) dataset.set_interdependencies(idps) dataset.mark_started() numpy_floats = [np.float, np.float16, np.float32, np.float64] results = [{"y": tp(1.2)} for tp in numpy_floats] dataset.add_results(results) expected_result = [[tp(1.2)] for tp in numpy_floats] assert np.allclose(dataset.get_data("y"), expected_result, atol=1E-8)
def test_write_data_to_text_file_save(): dataset = new_data_set("dataset") xparam = ParamSpecBase("x", 'numeric') yparam = ParamSpecBase("y", 'numeric') idps = InterDependencies_(dependencies={yparam: (xparam, )}) dataset.set_interdependencies(idps) dataset.mark_started() results = [{'x': 0, 'y': 1}] dataset.add_results(results) dataset.mark_completed() with tempfile.TemporaryDirectory() as temp_dir: dataset.write_data_to_text_file(path=temp_dir) assert os.listdir(temp_dir) == ['y.dat'] with open(temp_dir + "//y.dat") as f: assert f.readlines() == ['0\t1\n']
def test_write_data_to_text_file_save(tmp_path_factory): dataset = new_data_set("dataset") xparam = ParamSpecBase("x", 'numeric') yparam = ParamSpecBase("y", 'numeric') idps = InterDependencies_(dependencies={yparam: (xparam, )}) dataset.set_interdependencies(idps) dataset.mark_started() results = [{'x': 0, 'y': 1}] dataset.add_results(results) dataset.mark_completed() path = str(tmp_path_factory.mktemp("write_data_to_text_file_save")) dataset.write_data_to_text_file(path=path) assert os.listdir(path) == ['y.dat'] with open(os.path.join(path, "y.dat")) as f: assert f.readlines() == ['0\t1\n']
def test_basic_subscription(dataset, basic_subscriber): xparam = ParamSpecBase(name='x', paramtype='numeric', label='x parameter', unit='V') yparam = ParamSpecBase(name='y', paramtype='numeric', label='y parameter', unit='Hz') idps = InterDependencies_(dependencies={yparam: (xparam, )}) dataset.set_interdependencies(idps) dataset.mark_started() sub_id = dataset.subscribe(basic_subscriber, min_wait=0, min_count=1, state={}) assert len(dataset.subscribers) == 1 assert list(dataset.subscribers.keys()) == [sub_id] expected_state = {} for x in range(10): y = -x**2 dataset.add_results([{'x': x, 'y': y}]) expected_state[x + 1] = [(x, y)] @retry_until_does_not_throw(exception_class_to_expect=AssertionError, delay=0, tries=10) def assert_expected_state(): assert dataset.subscribers[sub_id].state == expected_state assert_expected_state() dataset.unsubscribe(sub_id) assert len(dataset.subscribers) == 0 assert list(dataset.subscribers.keys()) == [] # Ensure the trigger for the subscriber has been removed from the database get_triggers_sql = "SELECT * FROM sqlite_master WHERE TYPE = 'trigger';" triggers = atomic_transaction(dataset.conn, get_triggers_sql).fetchall() assert len(triggers) == 0
def test_numpy_ints(dataset): """ Test that we can insert numpy integers in the data set """ xparam = ParamSpecBase('x', 'numeric') idps = InterDependencies_(standalones=(xparam, )) dataset.set_interdependencies(idps) dataset.mark_started() numpy_ints = [ np.int, np.int8, np.int16, np.int32, np.int64, np.uint, np.uint8, np.uint16, np.uint32, np.uint64 ] results = [{"x": tp(1)} for tp in numpy_ints] dataset.add_results(results) expected_result = len(numpy_ints) * [[1]] assert dataset.get_data("x") == expected_result
def test_missing_keys(dataset): """ Test that we can now have partial results with keys missing. This is for example handy when having an interleaved 1D and 2D sweep. """ x = ParamSpecBase("x", paramtype='numeric') y = ParamSpecBase("y", paramtype='numeric') a = ParamSpecBase("a", paramtype='numeric') b = ParamSpecBase("b", paramtype='numeric') idps = InterDependencies_(dependencies={a: (x, ), b: (x, y)}) dataset.set_interdependencies(idps) dataset.mark_started() def fa(xv): return xv + 1 def fb(xv, yv): return xv + 2 - yv * 3 results = [] xvals = [1, 2, 3] yvals = [2, 3, 4] for xv in xvals: results.append({"x": xv, "a": fa(xv)}) for yv in yvals: results.append({"x": xv, "y": yv, "b": fb(xv, yv)}) dataset.add_results(results) assert dataset.get_values("x") == [[r["x"]] for r in results] assert dataset.get_values("y") == [[r["y"]] for r in results if "y" in r] assert dataset.get_values("a") == [[r["a"]] for r in results if "a" in r] assert dataset.get_values("b") == [[r["b"]] for r in results if "b" in r] assert dataset.get_setpoints("a")['x'] == [[xv] for xv in xvals] tmp = [list(t) for t in zip(*(itertools.product(xvals, yvals)))] expected_setpoints = [[[v] for v in vals] for vals in tmp] assert dataset.get_setpoints("b")['x'] == expected_setpoints[0] assert dataset.get_setpoints("b")['y'] == expected_setpoints[1]
def test_write_data_to_text_file_name_exception(tmp_path): dataset = new_data_set("dataset") xparam = ParamSpecBase("x", 'numeric') yparam = ParamSpecBase("y", 'numeric') zparam = ParamSpecBase("z", 'numeric') idps = InterDependencies_(dependencies={ yparam: (xparam, ), zparam: (xparam, ) }) dataset.set_interdependencies(idps) dataset.mark_started() results = [{'x': 0, 'y': 1, 'z': 2}] dataset.add_results(results) dataset.mark_completed() temp_dir = str(tmp_path) with pytest.raises(Exception, match='desired file name'): dataset.write_data_to_text_file(path=temp_dir, single_file=True, single_file_name=None)
def scalar_dataset_with_nulls(dataset): """ A very simple dataset. A scalar is varied, and two parameters are measured one by one """ sp = ParamSpecBase('setpoint', 'numeric') val1 = ParamSpecBase('first_value', 'numeric') val2 = ParamSpecBase('second_value', 'numeric') idps = InterDependencies_(dependencies={val1: (sp, ), val2: (sp, )}) dataset.set_interdependencies(idps) dataset.mark_started() dataset.add_results([{ sp.name: 0, val1.name: 1 }, { sp.name: 0, val2.name: 2 }]) dataset.mark_completed() yield dataset
def test_subscription_from_config(dataset, basic_subscriber): """ This test is similar to `test_basic_subscription`, with the only difference that another subscriber from a config file is added. """ # This string represents the config file in the home directory: config = """ { "subscription":{ "subscribers":{ "test_subscriber":{ "factory": "qcodes.tests.dataset.test_subscribing.MockSubscriber", "factory_kwargs":{ "lg": false }, "subscription_kwargs":{ "min_wait": 0, "min_count": 1, "callback_kwargs": {} } } } } } """ # This little dance around the db_location is due to the fact that the # dataset fixture creates a dataset in a db in a temporary directory. # Therefore we need to 'backup' the path to the db when using the # default configuration. db_location = qcodes.config.core.db_location with default_config(user_config=config): qcodes.config.core.db_location = db_location assert 'test_subscriber' in qcodes.config.subscription.subscribers xparam = ParamSpecBase(name='x', paramtype='numeric', label='x parameter', unit='V') yparam = ParamSpecBase(name='y', paramtype='numeric', label='y parameter', unit='Hz') idps = InterDependencies_(dependencies={yparam: (xparam,)}) dataset.set_interdependencies(idps) dataset.mark_started() sub_id = dataset.subscribe(basic_subscriber, min_wait=0, min_count=1, state={}) sub_id_c = dataset.subscribe_from_config('test_subscriber') assert len(dataset.subscribers) == 2 assert list(dataset.subscribers.keys()) == [sub_id, sub_id_c] expected_state = {} # Here we are only testing 2 to reduce the CI time for x in range(2): y = -x**2 dataset.add_result({'x': x, 'y': y}) expected_state[x+1] = [(x, y)] @retry_until_does_not_throw( exception_class_to_expect=AssertionError, delay=0, tries=10) def assert_expected_state(): assert dataset.subscribers[sub_id].state == expected_state assert dataset.subscribers[sub_id_c].state == expected_state assert_expected_state()