def setUp(self):
self.basic = ddm.Model(dx=.005,
dt=.01,
T_dur=2,
drift=ddm.DriftConstant(drift=.4),
noise=ddm.NoiseConstant(noise=1),
bound=ddm.BoundConstant(B=1))
class NoiseCond(ddm.Noise):
name = "Noise with a condition"
required_conditions = ['cond']
required_parameters = []
def get_noise(self, conditions, **kwargs):
return conditions["cond"]
self.withcond = ddm.Model(noise=NoiseCond())
class FancyBounds(ddm.Bound):
name = "Increasing/decreasing bounds"
required_conditions = []
required_parameters = []
def get_bound(self, conditions, t, **kwargs):
if t <= 1:
return 1 + t
if t > 1:
return 2 / t
self.bound = ddm.Model(bound=FancyBounds())
def test_ICPoint(self):
"""Arbitrary pointwise initial condition"""
m = ddm.Model(name='ICPoint_test',
drift=ddm.DriftConstant(drift=2),
noise=ddm.NoiseConstant(noise=1.5),
bound=ddm.BoundConstant(B=1),
IC=ddm.ICPoint(x0=-.25))
_modeltest_numerical_vs_analytical(m,
method="implicit",
max_diff=.3,
mean_diff=.2,
prob_diff=.05)
def setUp(self):
self.basic = ddm.Model(dx=.005,
dt=.01,
T_dur=2,
drift=ddm.DriftConstant(drift=.4),
noise=ddm.NoiseConstant(noise=1),
bound=ddm.BoundConstant(B=1))
class NoiseCond(ddm.Noise):
name = "Noise with a condition"
required_conditions = ['cond']
required_parameters = []
def get_noise(self, conditions, **kwargs):
return conditions["cond"]
self.withcond = ddm.Model(noise=NoiseCond())