def test_recurrent_mech_process_proj_matrix_change(self):
R = RecurrentTransferMechanism(size=4, auto=1, hetero=-1)
T = TransferMechanism(size=4, function=Linear)
p = Process(size=4,
pathway=[T, R],
prefs=TestRecurrentTransferMechanismInSystem.simple_prefs)
R.recurrent_projection.matrix = [[2, 0, 1, 3]] * 4
p.run(inputs={T: [[1, 2, 3, 4]]})
np.testing.assert_allclose(T.value, [[1, 2, 3, 4]])
np.testing.assert_allclose(R.value, [[1, 2, 3, 4]])
p.run(inputs={T: [[1, 3, 2, 5]]})
np.testing.assert_allclose(R.recurrent_projection.matrix,
[[2, 0, 1, 3]] * 4)
np.testing.assert_allclose(T.value, [[1, 3, 2, 5]])
np.testing.assert_allclose(R.value, [[21, 3, 12, 35]])
def test_transfer_mech_process_matrix_change(self):
from psyneulink.components.projections.pathway.mappingprojection import MappingProjection
T1 = TransferMechanism(size=4, function=Linear)
proj = MappingProjection(
matrix=[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]])
T2 = TransferMechanism(size=4, function=Linear)
p = Process(size=4, pathway=[T1, proj, T2])
p.run(inputs={T1: [[1, 2, 3, 4]]})
proj.matrix = [[2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2]]
assert np.allclose(
proj.matrix,
[[2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2]])
# p.run(inputs={T1: [[1, 2, 3, 4]]})
T1.execute([[1, 2, 3, 4]])
proj.execute(context="EXECUTING testing projection")
assert np.allclose(
proj.matrix,
np.array([[2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2]]))
def test_recurrent_mech_transfer_mech_process_three_runs(self):
# this test ASSUMES that the parameter state for auto and hetero is updated one run-cycle AFTER they are set by
# lines by `R.auto = 0`. If this (potentially buggy) behavior is changed, then change these values
R = RecurrentTransferMechanism(size=4, auto=0, hetero=-1)
T = TransferMechanism(size=3, function=Linear)
p = Process(size=4,
pathway=[R, T],
prefs=TestRecurrentTransferMechanismInSystem.simple_prefs)
p.run(inputs={R: [[1, 2, 3, 4]]})
np.testing.assert_allclose(R.value, [[1., 2., 3., 4.]])
np.testing.assert_allclose(T.value, [[10., 10., 10.]])
p.run(inputs={R: [[5, 6, 7, 8]]})
np.testing.assert_allclose(R.value, [[-4, -2, 0, 2]])
np.testing.assert_allclose(T.value, [[-4, -4, -4]])
p.run(inputs={R: [[-1, 2, -2, 5.5]]})
np.testing.assert_allclose(R.value, [[-1.0, 4.0, 2.0, 11.5]])
np.testing.assert_allclose(T.value, [[16.5, 16.5, 16.5]])