def test_generator_pairwise():
"""Function to test the generator for pairwise based algorithm."""
knowledge_graph = KnowledgeGraph(dataset="freebase15k")
knowledge_graph.force_prepare_data()
config_def, model_def = Importer().import_model_config('transe')
config = config_def(KGEArgParser().get_args([]))
generator = Generator(model_def(**config.__dict__), config)
generator.start_one_epoch(10)
for i in range(10):
data = list(next(generator))
assert len(data) == 6
ph = data[0]
pr = data[1]
pt = data[2]
nh = data[3]
nr = data[4]
nt = data[5]
assert len(ph) == len(pr)
assert len(ph) == len(pt)
assert len(ph) == len(nh)
assert len(ph) == len(nr)
assert len(ph) == len(nt)
generator.stop()
def test_known_datasets(dataset_name):
"""Function to test the the knowledge graph parse for Freebase."""
knowledge_graph = KnowledgeGraph(dataset=dataset_name)
knowledge_graph.force_prepare_data()
assert len(knowledge_graph.dump()) == 9
assert knowledge_graph.is_cache_exists()
kg_metadata = knowledge_graph.dataset.read_metadata()
assert kg_metadata.tot_triple > 0
assert kg_metadata.tot_valid_triples > 0
assert kg_metadata.tot_test_triples > 0
assert kg_metadata.tot_train_triples > 0
assert kg_metadata.tot_relation > 0
assert kg_metadata.tot_entity > 0
assert len(knowledge_graph.read_cache_data('triplets_train')) > 0
assert len(knowledge_graph.read_cache_data('triplets_test')) > 0
assert len(knowledge_graph.read_cache_data('triplets_valid')) > 0
assert len(knowledge_graph.read_cache_data('hr_t')) > 0
assert len(knowledge_graph.read_cache_data('tr_h')) > 0
assert len(knowledge_graph.read_cache_data('idx2entity')) > 0
assert len(knowledge_graph.read_cache_data('idx2relation')) > 0
assert len(knowledge_graph.read_cache_data('entity2idx')) > 0
assert len(knowledge_graph.read_cache_data('relation2idx')) > 0
def test_fb15k_meta():
"""Function to test the the knowledge graph parse for Freebase and basic operations."""
knowledge_graph = KnowledgeGraph(dataset="freebase15k")
knowledge_graph.force_prepare_data()
knowledge_graph.dump()
assert knowledge_graph.is_cache_exists()
knowledge_graph.prepare_data()
knowledge_graph.dataset.read_metadata()
knowledge_graph.dataset.dump()
def test_fb15k_manipulate():
"""Function to test the the knowledge graph parse for Freebase and basic operations."""
knowledge_graph = KnowledgeGraph(dataset="freebase15k")
knowledge_graph.force_prepare_data()
knowledge_graph.dump()
knowledge_graph.read_cache_data('triplets_train')
knowledge_graph.read_cache_data('triplets_test')
knowledge_graph.read_cache_data('triplets_valid')
knowledge_graph.read_cache_data('hr_t')
knowledge_graph.read_cache_data('tr_h')
knowledge_graph.read_cache_data('idx2entity')
knowledge_graph.read_cache_data('idx2relation')
knowledge_graph.read_cache_data('entity2idx')
knowledge_graph.read_cache_data('relation2idx')
def test_generator_pointwise():
"""Function to test the generator for pointwise based algorithm."""
knowledge_graph = KnowledgeGraph(dataset="freebase15k")
knowledge_graph.force_prepare_data()
config_def, model_def = Importer().import_model_config("complex")
config = config_def(KGEArgParser().get_args([]))
generator = Generator(model_def(**config.__dict__), config)
generator.start_one_epoch(10)
for i in range(10):
data = list(next(generator))
assert len(data) == 4
h = data[0]
r = data[1]
t = data[2]
y = data[3]
assert len(h) == len(r)
assert len(h) == len(t)
assert set(y) == {1, -1}
generator.stop()
def test_generator_proje():
"""Function to test the generator for projection based algorithm."""
knowledge_graph = KnowledgeGraph(dataset="freebase15k")
knowledge_graph.force_prepare_data()
config_def, model_def = Importer().import_model_config("proje_pointwise")
config = config_def(KGEArgParser().get_args([]))
generator = Generator(model_def(**config.__dict__), config)
generator.start_one_epoch(10)
for i in range(10):
data = list(next(generator))
assert len(data) == 5
h = data[0]
r = data[1]
t = data[2]
hr_t = data[3]
tr_h = data[4]
assert len(h) == len(r)
assert len(h) == len(t)
assert isinstance(hr_t, torch.Tensor)
assert isinstance(tr_h, torch.Tensor)
generator.stop()
def test_benchmarks(dataset_name):
"""Function to test the the knowledge graph parse for Freebase."""
knowledge_graph = KnowledgeGraph(dataset=dataset_name)
knowledge_graph.force_prepare_data()
knowledge_graph.dump()