def execute(self, batch: FrameBatch):
predictions = batch.get_outcomes_for(self.predicate.name)
required_frame_ids = []
for i, prediction in enumerate(predictions):
if self.predicate(prediction):
required_frame_ids.append(i)
return batch[required_frame_ids]
def test_get_outcome_from_non_existing_udf_name_returns_empty_list(self):
batch = FrameBatch(frames=[Frame(1, np.ones((1, 1)), None)], info=None)
self.assertEqual([], batch.get_outcomes_for('test'))
def test_set_outcomes_method_should_set_the_predictions_with_udf_name(
self):
batch = FrameBatch(frames=[Frame(1, np.ones((1, 1)), None)], info=None)
batch.set_outcomes('test', [None])
self.assertEqual([None], batch.get_outcomes_for('test'))