def test_synapses():
check_init_args(LinearFilter, ["num", "den", "analog", "method"])
check_repr(LinearFilter([1, 2], [3, 4]))
check_repr(LinearFilter([1, 2], [3, 4], analog=False))
assert (repr(LinearFilter(
[1], [0.03, 1
])) == "LinearFilter(num=array([1.]), den=array([0.03, 1. ]))")
check_init_args(Lowpass, ["tau"])
check_repr(Lowpass(0.3))
assert repr(Lowpass(0.01)) == "Lowpass(tau=0.01)"
check_init_args(Alpha, ["tau"])
check_repr(Alpha(0.3))
assert repr(Alpha(0.02)) == "Alpha(tau=0.02)"
check_init_args(Triangle, ["t"])
check_repr(Triangle(0.3))
assert repr(Triangle(0.03)) == "Triangle(t=0.03)"
def test_learning_rule_types():
check_init_args(PES, ["learning_rate", "pre_synapse"])
check_repr(PES(learning_rate=0.1, pre_synapse=Lowpass(tau=0.2)))
assert repr(PES()) == "PES()"
assert (repr(PES(learning_rate=0.1, pre_synapse=0.2)) ==
"PES(learning_rate=0.1, pre_synapse=Lowpass(tau=0.2))")
check_init_args(
BCM, ["learning_rate", "pre_synapse", "post_synapse", "theta_synapse"])
check_repr(
BCM(learning_rate=0.1,
pre_synapse=0.2,
post_synapse=0.3,
theta_synapse=0.4))
assert repr(BCM()) == "BCM()"
assert repr(
BCM(learning_rate=0.1,
pre_synapse=0.2,
post_synapse=0.3,
theta_synapse=0.4)
) == ("BCM(learning_rate=0.1, pre_synapse=Lowpass(tau=0.2), "
"post_synapse=Lowpass(tau=0.3), theta_synapse=Lowpass(tau=0.4))")
check_init_args(Oja,
["learning_rate", "pre_synapse", "post_synapse", "beta"])
check_repr(
Oja(
learning_rate=0.1,
pre_synapse=Lowpass(tau=0.2),
post_synapse=Lowpass(tau=0.3),
beta=0.4,
))
assert repr(Oja()) == "Oja()"
assert repr(
Oja(learning_rate=0.1, pre_synapse=0.2, post_synapse=0.3,
beta=0.4)) == (
"Oja(learning_rate=0.1, pre_synapse=Lowpass(tau=0.2), "
"post_synapse=Lowpass(tau=0.3), beta=0.4)")
check_init_args(Voja, ["learning_rate", "post_synapse"])
check_repr(Voja(learning_rate=0.1, post_synapse=Lowpass(tau=0.2)))
assert repr(Voja()) == "Voja()"
assert (repr(Voja(learning_rate=0.1, post_synapse=0.2)) ==
"Voja(learning_rate=0.1, post_synapse=Lowpass(tau=0.2))")
check_init_args(RLS, ["learning_rate", "pre_synapse"])
check_repr(RLS(2.4e-3))
check_repr(RLS(learning_rate=0.1, pre_synapse=Alpha(tau=0.2)))
assert repr(RLS()) == "RLS()"
assert (repr(RLS(learning_rate=0.1, pre_synapse=0.2)) ==
"RLS(learning_rate=0.1, pre_synapse=Lowpass(tau=0.2))")