def random():
"""Seed all random number generators.
Ensures repeatable tests.
"""
with seed_random():
yield
def test_reproducibility():
results = []
for _ in range(5):
with seed_random():
multinetwork = SimpleMultiNetwork()
x = np.random.rand(13, 1)
y = np.random.rand(13, 1)
multinetwork.fit(x, y, model='forecaster', batch_size=1, epochs=1)
loss = multinetwork.history[-1]['history']['loss'][-1]
results.append(loss)
assert min(results) == max(results)