def test_string_log_value_from_fit_with_single_workspace(self): single_value_logs = [('sv_1', '5')] fake1 = create_test_workspace(ws_name='fake1', string_value_logs=single_value_logs) fit = FitInformation(mock.MagicMock(), 'func1', [StaticWorkspaceWrapper(fake1.name(), fake1)], mock.MagicMock(), mock.MagicMock()) self.assertEqual(float(single_value_logs[0][1]), fit.log_value(single_value_logs[0][0]))
def test_time_series_log_value_from_fit_with_single_workspace_uses_time_average( self): time_series_logs = \ [('ts_1', (("2000-05-01T12:00:00", 5.), ("2000-05-01T12:00:10", 20.), ("2000-05-01T12:05:00", 30.)))] fake1 = create_test_workspace('fake1', time_series_logs) fit = FitInformation(mock.MagicMock(), 'func1', [StaticWorkspaceWrapper(fake1.name(), fake1)], mock.MagicMock(), mock.MagicMock()) time_average = (10 * 5 + 290 * 20) / 300. self.assertAlmostEqual(time_average, fit.log_value('ts_1'), places=6)
def test_time_series_log_value_from_fit_with_multiple_workspaces_uses_average_of_time_average( self): time_series_logs1 = \ [('ts_1', (("2000-05-01T12:00:00", 5.), ("2000-05-01T12:00:10", 20.), ("2000-05-01T12:05:00", 30.)))] fake1 = create_test_workspace('fake1', time_series_logs1) time_series_logs2 = \ [('ts_1', (("2000-05-01T12:00:30", 10.), ("2000-05-01T12:01:45", 30.), ("2000-05-01T12:05:00", 40.)))] fake2 = create_test_workspace('fake2', time_series_logs2) fit = FitInformation(mock.MagicMock(), 'func1', [ StaticWorkspaceWrapper(fake1.name(), fake1), StaticWorkspaceWrapper(fake2.name(), fake2) ], mock.MagicMock(), mock.MagicMock()) time_average1 = (10 * 5 + 290 * 20) / 300. time_average2 = (75 * 10 + 195 * 30) / 270. all_average = 0.5 * (time_average1 + time_average2) self.assertAlmostEqual(all_average, fit.log_value('ts_1'), places=6)