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)