def test_mutate():
parent = ClassicGRN()
parent.random(5, 5, 5)
config.MUTATION_ADD_RATE = 1.0
child = evolution.mutate(parent)
assert parent.size() == child.size() - 1
assert parent.distance_to(child) < 1 / (child.size() + 2)
config.MUTATION_ADD_RATE = 0.0
config.MUTATION_DEL_RATE = 1.0
child = evolution.mutate(parent)
assert parent.size() == child.size() + 1
assert parent.distance_to(child) < 1 / (child.size() + 2)
config.MUTATION_DEL_RATE = 0.0
child = evolution.mutate(parent)
assert parent.size() == child.size()
assert parent.distance_to(child) < 1 / (child.size() + 2)
def test_mutate_remove():
parent = ClassicGRN()
parent.random(5, 5, 5)
child = evolution.mutate_remove(parent)
assert len(parent.inhibitors) == len(child.inhibitors) + 1
assert len(parent.enhancers) == len(child.enhancers) + 1
assert len(parent.identifiers) == len(child.identifiers) + 1
assert parent.size() == child.size() + 1
assert parent.distance_to(child) < 1 / (parent.size() + 2)
def test_mutate_add():
parent = ClassicGRN()
parent.random(5, 5, 5)
child = evolution.mutate_add(parent)
assert np.all(parent.inhibitors == child.inhibitors[0:-1])
assert np.all(parent.enhancers == child.enhancers[0:-1])
assert np.all(parent.identifiers == child.identifiers[0:-1])
assert len(parent.inhibitors) == len(child.inhibitors) - 1
assert len(parent.enhancers) == len(child.enhancers) - 1
assert len(parent.identifiers) == len(child.identifiers) - 1
assert parent.size() == child.size() - 1
assert parent.distance_to(child) < 1 / (child.size() + 2)
def test_mutate_modify():
parent = ClassicGRN()
parent.random(5, 5, 5)
child = evolution.mutate_modify(parent)
if parent.beta == child.beta and parent.delta == child.delta:
assert (np.sum(parent.inhibitors != child.inhibitors) +
np.sum(parent.enhancers != child.enhancers) +
np.sum(parent.identifiers != child.identifiers)) == 1
assert len(parent.inhibitors) == len(child.inhibitors)
assert len(parent.enhancers) == len(child.enhancers)
assert len(parent.identifiers) == len(child.identifiers)
assert parent.size() == child.size()
assert parent.distance_to(child) < 1 / (parent.size() + 2)
def test_eq_size_crossover():
parent1 = ClassicGRN()
parent2 = ClassicGRN()
parent1.random(5, 5, 5)
parent2.random(5, 5, 5)
child = evolution.crossover(parent1, parent2)
assert (child.beta == parent1.beta) or (child.beta == parent2.beta)
assert (child.delta == parent1.delta) or (child.delta == parent2.delta)
assert parent1.size() == child.size()
assert parent2.size() == child.size()
assert parent1.distance_to(child) < parent1.distance_to(parent2)
assert parent2.distance_to(child) < parent2.distance_to(parent1)
assert parent1.distance_to(child) > 0
assert parent2.distance_to(child) > 0