def test_multisource_2(self):
comp = Composition()
A1 = TransferMechanism(function=Linear(slope=5.0, intercept=2.0),
name='A1')
A2 = TransferMechanism(function=Linear(slope=5.0, intercept=2.0),
name='A2')
B1 = TransferMechanism(function=Linear(intercept=4.0), name='B1')
B2 = TransferMechanism(function=Linear(intercept=4.0), name='B2')
B3 = TransferMechanism(function=Linear(intercept=4.0), name='B3')
C1 = TransferMechanism(function=Linear(intercept=1.5), name='C1')
C2 = TransferMechanism(function=Linear(intercept=.5), name='C2')
for m in [A1, A2, B1, B2, B3, C1, C2]:
comp.add_mechanism(m)
comp.add_projection(A1, MappingProjection(), B1)
comp.add_projection(A1, MappingProjection(), B2)
comp.add_projection(A2, MappingProjection(), B1)
comp.add_projection(A2, MappingProjection(), B2)
comp.add_projection(A2, MappingProjection(), B3)
comp.add_projection(B1, MappingProjection(), C1)
comp.add_projection(B2, MappingProjection(), C1)
comp.add_projection(B1, MappingProjection(), C2)
comp.add_projection(B3, MappingProjection(), C2)
sched = Scheduler(composition=comp)
sched.add_condition_set({
A1:
Always(),
A2:
Always(),
B1:
EveryNCalls(A1, 2),
B3:
EveryNCalls(A2, 2),
B2:
All(EveryNCalls(A1, 4), EveryNCalls(A2, 4)),
C1:
Any(AfterNCalls(B1, 2), AfterNCalls(B2, 2)),
C2:
Any(AfterNCalls(B2, 2), AfterNCalls(B3, 2)),
})
termination_conds = {}
termination_conds[TimeScale.RUN] = AfterNTrials(1)
termination_conds[TimeScale.TRIAL] = All(AfterNCalls(C1, 1),
AfterNCalls(C2, 1))
output = list(sched.run(termination_conds=termination_conds))
expected_output = [
set([A1, A2]),
set([A1, A2]),
set([B1, B3]),
set([A1, A2]),
set([A1, A2]),
set([B1, B2, B3]),
set([C1, C2])
]
assert output == pytest.helpers.setify_expected_output(expected_output)
def test_checkmark2_1(self):
comp = Composition()
A = TransferMechanism(function=Linear(slope=5.0, intercept=2.0),
name='A')
B = TransferMechanism(function=Linear(intercept=4.0), name='B')
C = TransferMechanism(function=Linear(intercept=1.5), name='C')
D = TransferMechanism(function=Linear(intercept=.5), name='D')
for m in [A, B, C, D]:
comp.add_mechanism(m)
comp.add_projection(A, MappingProjection(), B)
comp.add_projection(A, MappingProjection(), D)
comp.add_projection(B, MappingProjection(), D)
comp.add_projection(C, MappingProjection(), D)
sched = Scheduler(composition=comp)
sched.add_condition(A, EveryNPasses(1))
sched.add_condition(B, EveryNCalls(A, 2))
sched.add_condition(C, EveryNCalls(A, 2))
sched.add_condition(D, All(EveryNCalls(B, 2), EveryNCalls(C, 2)))
termination_conds = {}
termination_conds[TimeScale.RUN] = AfterNTrials(1)
termination_conds[TimeScale.TRIAL] = AfterNCalls(
D, 1, time_scale=TimeScale.TRIAL)
output = list(sched.run(termination_conds=termination_conds))
expected_output = [A, set([A, C]), B, A, set([A, C]), B, D]
assert output == pytest.helpers.setify_expected_output(expected_output)
def test_composite_condition_multi(self):
comp = Composition()
A = TransferMechanism(function=Linear(slope=5.0, intercept=2.0),
name='A')
B = TransferMechanism(function=Linear(intercept=4.0), name='B')
C = TransferMechanism(function=Linear(intercept=1.5), name='C')
for m in [A, B, C]:
comp.add_mechanism(m)
comp.add_projection(A, MappingProjection(), B)
comp.add_projection(B, MappingProjection(), C)
sched = Scheduler(composition=comp)
sched.add_condition(A, EveryNPasses(1))
sched.add_condition(B, EveryNCalls(A, 2))
sched.add_condition(
C,
All(Any(AfterPass(6), AfterNCalls(B, 2)),
Any(AfterPass(2), AfterNCalls(B, 3))))
termination_conds = {}
termination_conds[TimeScale.RUN] = AfterNTrials(1)
termination_conds[TimeScale.TRIAL] = AfterNCalls(C, 3)
output = list(sched.run(termination_conds=termination_conds))
expected_output = [A, A, B, A, A, B, C, A, C, A, B, C]
assert output == pytest.helpers.setify_expected_output(expected_output)
def test_triangle_4b(self):
comp = Composition()
A = TransferMechanism(function=Linear(slope=5.0, intercept=2.0),
name='A')
B = TransferMechanism(function=Linear(intercept=4.0), name='B')
C = TransferMechanism(function=Linear(intercept=1.5), name='C')
for m in [A, B, C]:
comp.add_mechanism(m)
comp.add_projection(A, MappingProjection(), B)
comp.add_projection(A, MappingProjection(), C)
sched = Scheduler(composition=comp)
sched.add_condition(A, EveryNPasses(1))
sched.add_condition(B, EveryNCalls(A, 2))
sched.add_condition(C, All(WhenFinished(A), AfterNCalls(B, 3)))
termination_conds = {}
termination_conds[TimeScale.RUN] = AfterNTrials(1)
termination_conds[TimeScale.TRIAL] = AfterNCalls(C, 1)
output = []
i = 0
for step in sched.run(termination_conds=termination_conds):
if i == 10:
A.is_finished = True
output.append(step)
i += 1
expected_output = [A, A, B, A, A, B, A, A, B, A, A, set([B, C])]
# pprint.pprint(output)
assert output == pytest.helpers.setify_expected_output(expected_output)
def test_four_integrators_mixed(self):
A = IntegratorMechanism(name='A',
default_variable=[0],
function=SimpleIntegrator(rate=1))
B = IntegratorMechanism(name='B',
default_variable=[0],
function=SimpleIntegrator(rate=1))
C = IntegratorMechanism(name='C',
default_variable=[0],
function=SimpleIntegrator(rate=1))
D = IntegratorMechanism(name='D',
default_variable=[0],
function=SimpleIntegrator(rate=1))
p = Process(default_variable=[0], pathway=[A, C], name='p')
p1 = Process(default_variable=[0], pathway=[A, D], name='p1')
q = Process(default_variable=[0], pathway=[B, C], name='q')
q1 = Process(default_variable=[0], pathway=[B, D], name='q1')
s = System(processes=[p, p1, q, q1], name='s')
term_conds = {
TimeScale.TRIAL: All(AfterNCalls(C, 1), AfterNCalls(D, 1))
}
stim_list = {A: [[1]], B: [[1]]}
sched = Scheduler(system=s)
sched.add_condition(B, EveryNCalls(A, 2))
sched.add_condition(C, EveryNCalls(A, 1))
sched.add_condition(D, EveryNCalls(B, 1))
s.scheduler_processing = sched
s.run(inputs=stim_list, termination_processing=term_conds)
mechs = [A, B, C, D]
expected_output = [
[
numpy.array([2.]),
],
[
numpy.array([1.]),
],
[
numpy.array([4.]),
],
[
numpy.array([3.]),
],
]
for m in range(len(mechs)):
for i in range(len(expected_output[m])):
numpy.testing.assert_allclose(expected_output[m][i],
mechs[m].output_values[i])
def test_invtriangle_2(self):
comp = Composition()
A = TransferMechanism(function=Linear(slope=5.0, intercept=2.0),
name='scheduler-pytests-A')
B = TransferMechanism(function=Linear(intercept=4.0),
name='scheduler-pytests-B')
C = TransferMechanism(function=Linear(intercept=1.5),
name='scheduler-pytests-C')
for m in [A, B, C]:
comp.add_mechanism(m)
comp.add_projection(A, MappingProjection(), C)
comp.add_projection(B, MappingProjection(), C)
sched = Scheduler(composition=comp)
sched.add_condition(A, EveryNPasses(1))
sched.add_condition(B, EveryNCalls(A, 2))
sched.add_condition(C, All(AfterNCalls(A, 3), AfterNCalls(B, 3)))
termination_conds = {}
termination_conds[TimeScale.RUN] = AfterNTrials(1)
termination_conds[TimeScale.TRIAL] = AfterNCalls(
C, 2, time_scale=TimeScale.TRIAL)
output = list(sched.run(termination_conds=termination_conds))
expected_output = [
A, set([A, B]), A,
set([A, B]), A,
set([A, B]), C, A, C
]
assert output == pytest.helpers.setify_expected_output(expected_output)
def test_three_2_ABCx2(self):
A = IntegratorMechanism(name='A',
default_variable=[0],
function=SimpleIntegrator(rate=.5))
B = IntegratorMechanism(name='B',
default_variable=[0],
function=SimpleIntegrator(rate=1))
C = TransferMechanism(
name='C',
default_variable=[0],
function=Linear(slope=2.0),
)
p = Process(default_variable=[0], pathway=[A, C], name='p')
q = Process(default_variable=[0], pathway=[B, C], name='q')
s = System(processes=[p, q], name='s')
term_conds = {TimeScale.TRIAL: AfterNCalls(C, 2)}
stim_list = {A: [[1]], B: [[2]]}
sched = Scheduler(system=s)
sched.add_condition(C, All(EveryNCalls(A, 1), EveryNCalls(B, 1)))
s.scheduler_processing = sched
s.run(inputs=stim_list, termination_processing=term_conds)
terminal_mechs = [C]
expected_output = [
[
numpy.array([10.]),
],
]
for m in range(len(terminal_mechs)):
for i in range(len(expected_output[m])):
numpy.testing.assert_allclose(
expected_output[m][i], terminal_mechs[m].output_values[i])
def test_10d(self):
comp = Composition()
A = TransferMechanism(function=Linear(slope=5.0, intercept=2.0),
name='A')
A.is_finished = False
B = TransferMechanism(function=Linear(intercept=4.0), name='B')
for m in [A, B]:
comp.add_mechanism(m)
comp.add_projection(A, MappingProjection(), B)
sched = Scheduler(composition=comp)
sched.add_condition(A, EveryNPasses(1))
sched.add_condition(B, All(WhenFinished(A), AfterNCalls(A, 3)))
termination_conds = {}
termination_conds[TimeScale.RUN] = AfterNTrials(1)
termination_conds[TimeScale.TRIAL] = AtPass(10)
output = list(sched.run(termination_conds=termination_conds))
expected_output = [A, A, A, A, A, A, A, A, A, A]
assert output == pytest.helpers.setify_expected_output(expected_output)
def test_six_integrators_threelayer_mixed(self):
A = IntegratorMechanism(name='A',
default_variable=[0],
function=SimpleIntegrator(rate=1))
B = IntegratorMechanism(name='B',
default_variable=[0],
function=SimpleIntegrator(rate=1))
C = IntegratorMechanism(name='C',
default_variable=[0],
function=SimpleIntegrator(rate=1))
D = IntegratorMechanism(name='D',
default_variable=[0],
function=SimpleIntegrator(rate=1))
E = IntegratorMechanism(name='E',
default_variable=[0],
function=SimpleIntegrator(rate=1))
F = IntegratorMechanism(name='F',
default_variable=[0],
function=SimpleIntegrator(rate=1))
p = [
Process(default_variable=[0], pathway=[A, C, E], name='p'),
Process(default_variable=[0], pathway=[A, C, F], name='p1'),
Process(default_variable=[0], pathway=[A, D, E], name='p2'),
Process(default_variable=[0], pathway=[A, D, F], name='p3'),
Process(default_variable=[0], pathway=[B, C, E], name='q'),
Process(default_variable=[0], pathway=[B, C, F], name='q1'),
Process(default_variable=[0], pathway=[B, D, E], name='q2'),
Process(default_variable=[0], pathway=[B, D, F], name='q3')
]
s = System(processes=p, name='s')
term_conds = {
TimeScale.TRIAL: All(AfterNCalls(E, 1), AfterNCalls(F, 1))
}
stim_list = {A: [[1]], B: [[1]]}
sched = Scheduler(system=s)
sched.add_condition(B, EveryNCalls(A, 2))
sched.add_condition(C, EveryNCalls(A, 1))
sched.add_condition(D, EveryNCalls(B, 1))
sched.add_condition(E, EveryNCalls(C, 1))
sched.add_condition(F, EveryNCalls(D, 2))
s.scheduler_processing = sched
s.run(inputs=stim_list, termination_processing=term_conds)
# Intermediate time steps
#
# 0 1 2 3
#
# A 1 2 3 4
# B 1 2
# C 1 4 8 14
# D 3 9
# E 1 8 19 42
# F 23
#
expected_output = {
A: [
numpy.array([4.]),
],
B: [
numpy.array([2.]),
],
C: [
numpy.array([14.]),
],
D: [
numpy.array([9.]),
],
E: [
numpy.array([42.]),
],
F: [
numpy.array([23.]),
],
}
for m in expected_output:
for i in range(len(expected_output[m])):
numpy.testing.assert_allclose(expected_output[m][i],
m.output_values[i])