| """Pruebas rápidas de la implementación PI-HGAT-T y su vínculo ontológico.""" |
| import unittest |
| import torch |
|
|
| from experiments.optional.pi_hgat_t import PIHGATT, admissible_relation, features_for_node, read_data |
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|
|
|
| class PIHGATTTests(unittest.TestCase): |
| def test_feature_vector_uses_only_phase_and_position(self): |
| self.assertEqual(features_for_node("T12_adv_P0"), [1.0, 0.0, 1.0, 0.0, 0.0]) |
| self.assertEqual(features_for_node("T07_ret_P2"), [0.0, 1.0, 0.0, 0.0, 1.0]) |
|
|
| def test_loaders_use_public_triad_ids_one_through_thirteen(self): |
| nodes, pairs = read_data() |
| expected = set(range(1, 14)) |
| self.assertEqual(set(nodes), expected) |
| self.assertEqual(set(pairs), expected) |
| self.assertTrue(all(len(pairs[triad_id]) == 30 for triad_id in expected)) |
|
|
| def test_attention_model_returns_three_relation_logits_per_candidate(self): |
| model = PIHGATT(dim=16, heads=4) |
| graph = torch.eye(5)[:5].unsqueeze(0) |
| pairs = torch.tensor([[0, 1], [1, 0]], dtype=torch.long) |
| self.assertEqual(tuple(model(graph, pairs).shape), (1, 2, 3)) |
|
|
| def test_admissibility_uses_mirror_and_creation_properties(self): |
| |
| self.assertTrue(admissible_relation("mirrorOf", 0, 5)) |
| self.assertFalse(admissible_relation("mirrorOf", 0, 3)) |
| self.assertTrue(admissible_relation("creates", 0, 4)) |
| self.assertTrue(admissible_relation("creates", 4, 0)) |
| self.assertFalse(admissible_relation("creates", 0, 3)) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|
