def test_pruning():
for h in utils.hypergraphs():
w = numpy.random.random(len(h.edges))
original_path = pydecode.best_path(h, w)
marginals = pydecode.marginals(h, w)
best = w.T * original_path.v
print marginals[1]
a = np.array(marginals > 0.99 * best, dtype=np.uint8)
def test_pruning():
for h in utils.hypergraphs():
w = numpy.random.random(len(h.edges))
original_path = pydecode.best_path(h, w)
marginals = pydecode.marginals(h, w)
best = w.T * original_path.v
print marginals[1]
a = np.array(marginals > 0.99* best, dtype=np.uint8)
def test_main():
for hypergraph in utils.hypergraphs():
log_pot = numpy.random.random(len(hypergraph.edges))
inside = numpy.random.random(len(hypergraph.edges))
yield check_best_path, hypergraph, log_pot
yield check_best_path_matrix, hypergraph
yield check_inside, hypergraph, inside
yield check_inside, hypergraph, log_pot
yield check_outside, hypergraph, log_pot
yield check_posteriors, hypergraph, inside
yield check_max_marginals, hypergraph, log_pot
yield check_semirings, hypergraph
def test_main():
for graph in hypergraphs():
# yield check_all_valid, graph
yield check_numbering, graph
yield check_hypergraph, graph
assert utils.check_fully_connected(graph)
def test_main():
for graph in hypergraphs():
# yield check_all_valid, graph
yield check_numbering, graph
yield check_hypergraph, graph
assert utils.check_fully_connected(graph)