def test_unique():
from EvoDAG import RootGP
mock = MagicMock(side_effect=RuntimeError('Mock'))
ui = RootGP.unique_individual
RootGP.unique_individual = mock
gp = RootGP(generations=np.inf,
tournament_size=2,
unique_individuals=True,
early_stopping_rounds=-1,
seed=0,
popsize=100)
try:
gp.fit(X, cl)
except RuntimeError:
pass
RootGP.unique_individual = ui
def test_unique():
from EvoDAG import RootGP
mock = MagicMock(side_effect=RuntimeError('Mock'))
ui = RootGP.unique_individual
RootGP.unique_individual = mock
gp = RootGP(generations=np.inf,
tournament_size=2,
unique_individuals=True,
multiple_outputs=True,
early_stopping_rounds=-1,
seed=0,
popsize=100)
try:
gp.fit(X, cl)
except RuntimeError:
pass
RootGP.unique_individual = ui
def test_population_as_parameter():
class Mock(object):
def __init__(self, *args, **kwargs):
raise RuntimeError('Mock')
from EvoDAG import RootGP
mock = Mock
gp = RootGP(generations=np.inf,
population_class=mock,
tournament_size=2,
unique_individuals=True,
early_stopping_rounds=-1,
seed=0,
popsize=100)
try:
gp.fit(X, cl)
assert False
except RuntimeError:
pass
def test_population_as_parameter():
class Mock(object):
def __init__(self, *args, **kwargs):
raise RuntimeError('Mock')
from EvoDAG import RootGP
mock = Mock
gp = RootGP(generations=np.inf,
population_class=mock,
tournament_size=2,
multiple_outputs=True,
unique_individuals=True,
early_stopping_rounds=-1,
seed=0,
popsize=100)
try:
gp.fit(X, cl)
assert False
except RuntimeError:
pass