def test_dynamic_graph_discrete_signal_real():
snapshot_count = 250
n_count = 100
feature_count = 32
edge_indices, edge_weights, features = generate_signal(250, 100, 32)
targets = [np.random.uniform(0,10,(n_count,)) for _ in range(snapshot_count)]
dataset = DynamicGraphTemporalSignal(edge_indices, edge_weights, features, targets)
for epoch in range(2):
for snapshot in dataset:
assert snapshot.edge_index.shape[0] == 2
assert snapshot.edge_index.shape[1] == snapshot.edge_attr.shape[0]
assert snapshot.x.shape == (100, 32)
assert snapshot.y.shape == (100, )
targets = [np.floor(np.random.uniform(0,10,(n_count,))).astype(int) for _ in range(snapshot_count)]
dataset = DynamicGraphTemporalSignal(edge_indices, edge_weights, features, targets)
for epoch in range(2):
for snapshot in dataset:
assert snapshot.edge_index.shape[0] == 2
assert snapshot.edge_index.shape[1] == snapshot.edge_attr.shape[0]
assert snapshot.x.shape == (100, 32)
assert snapshot.y.shape == (100, )
def test_discrete_train_test_split_dynamic():
snapshot_count = 250
n_count = 100
feature_count = 32
edge_indices, edge_weights, features = generate_signal(250, 100, 32)
targets = [
np.random.uniform(0, 10, (n_count, )) for _ in range(snapshot_count)
]
dataset = DynamicGraphTemporalSignal(edge_indices, edge_weights, features,
targets)
train_dataset, test_dataset = temporal_signal_split(dataset, 0.8)
for epoch in range(2):
for snapshot in test_dataset:
assert snapshot.edge_index.shape[0] == 2
assert snapshot.edge_index.shape[1] == snapshot.edge_attr.shape[0]
assert snapshot.x.shape == (100, 32)
assert snapshot.y.shape == (100, )
for epoch in range(2):
for snapshot in train_dataset:
assert snapshot.edge_index.shape[0] == 2
assert snapshot.edge_index.shape[1] == snapshot.edge_attr.shape[0]
assert snapshot.x.shape == (100, 32)
assert snapshot.y.shape == (100, )
def test_dynamic_graph_discrete_signal():
dataset = DynamicGraphTemporalSignal([None, None], [None, None], [None, None],[None, None])
for snapshot in dataset:
assert snapshot.edge_index is None
assert snapshot.edge_attr is None
assert snapshot.x is None
assert snapshot.y is None
def test_dynamic_graph_temporal_signal_additional_attrs():
dataset = DynamicGraphTemporalSignal([None], [None], [None], [None],
optional1=[np.array([1])],
optional2=[np.array([2])])
assert dataset.additional_feature_keys == ["optional1", "optional2"]
for snapshot in dataset:
assert snapshot.optional1.shape == (1, )
assert snapshot.optional2.shape == (1, )
