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test_naming.py
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/
test_naming.py
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import pytest
import psyneulink as pnl
import psyneulink.core.components.functions.distributionfunctions
import psyneulink.core.components.functions.statefulfunctions.integratorfunctions
class TestNaming:
# ------------------------------------------------------------------------------------------------
# NAMING CONVENTIONS
# ------------------------------------------------------------------------------------------------
# TEST 1
# Test that Processes and Systems are given default names with incrementing index, starting at 0
def test_process_and_system_default_names(self):
T = pnl.TransferMechanism()
P1 = pnl.Process(pathway=[T])
P2 = pnl.Process(pathway=[T])
assert P1.name == 'Process-0'
assert P2.name == 'Process-1'
S1 = pnl.System(processes=[P1])
S2 = pnl.System(processes=[P1])
assert S1.name == 'System-0'
assert S2.name == 'System-1'
# ------------------------------------------------------------------------------------------------
# TEST 2
# Test that Processes and Systems assigned duplicate names are indexed starting at 1 (original is not indexed)
def test_process_and_system_default_names_2(self):
T = pnl.TransferMechanism(name='T0')
P1 = pnl.Process(name='MY PROCESS', pathway=[T])
P2 = pnl.Process(name='MY PROCESS', pathway=[T])
assert P1.name == 'MY PROCESS'
assert P2.name == 'MY PROCESS-1'
S1 = pnl.System(name='MY SYSTEM', processes=[P1])
S2 = pnl.System(name='MY SYSTEM', processes=[P1])
assert S1.name == 'MY SYSTEM'
assert S2.name == 'MY SYSTEM-1'
# ------------------------------------------------------------------------------------------------
# TEST 3
# Test that Mechanisms are given default names with incrementing index, starting at 0
def test_default_mechanism_names(self):
T1 = pnl.TransferMechanism()
T2 = pnl.TransferMechanism()
assert T1.name == 'TransferMechanism-0'
assert T2.name == 'TransferMechanism-1'
# ------------------------------------------------------------------------------------------------
# TEST 4
# Test that Mechanism assigned a duplicate name is incremented starting at 1 (original is not indexed)
@pytest.mark.parametrize(
'name, expected_list',
[
('MY TRANSFER MECHANISM', ['MY TRANSFER MECHANISM', 'MY TRANSFER MECHANISM-1']),
('A-1', ['A-1', 'A-1-1', 'A-1-2']),
('A', ['A', 'A-1', 'A-2']),
]
)
def test_duplicate_assigned_mechanism_names(self, name, expected_list):
for expected_name in expected_list:
t = pnl.TransferMechanism(name=name)
assert t.name == expected_name
def test_duplicate_assigned_mechanism_names_2(self):
pnl.TransferMechanism(name='A')
pnl.TransferMechanism(name='A') # A-1
pnl.TransferMechanism(name='A') # A-2
t = pnl.TransferMechanism(name='A-1')
assert t.name == 'A-3'
# ------------------------------------------------------------------------------------------------
# TEST 5
# Test that default MappingProjections in deferred init are assigned indexed names
def test_deferred_init_default_MappingProjection_names(self):
P1 = pnl.MappingProjection()
P2 = pnl.MappingProjection()
assert P1.name == 'Deferred Init MappingProjection'
assert P2.name == 'Deferred Init MappingProjection-1'
# ------------------------------------------------------------------------------------------------
# TEST 6
# Test that MappingProjections with assigned names in deferred init are assigned indexed names
def test_deferred_init_assigned_MappingProjection_names(self):
PN1 = pnl.MappingProjection(name='MY PROJECTION')
PN2 = pnl.MappingProjection(name='MY PROJECTION')
assert PN1.name == 'MY PROJECTION [Deferred Init]'
assert PN2.name == 'MY PROJECTION [Deferred Init]-1'
# ------------------------------------------------------------------------------------------------
# TEST 7
# Test that default ModulatoryProjections in deferred init are assigned indexed names
def test_deferred_init_default_ModulatoryProjection_names(self):
LP1 = pnl.LearningProjection()
LP2 = pnl.LearningProjection()
assert LP1.name == 'Deferred Init LearningProjection'
assert LP2.name == 'Deferred Init LearningProjection-1'
CP1 = pnl.ControlProjection()
CP2 = pnl.ControlProjection()
assert CP1.name == 'Deferred Init ControlProjection'
assert CP2.name == 'Deferred Init ControlProjection-1'
GP1 = pnl.GatingProjection()
GP2 = pnl.GatingProjection()
assert GP1.name == 'Deferred Init GatingProjection'
assert GP2.name == 'Deferred Init GatingProjection-1'
# ------------------------------------------------------------------------------------------------
# TEST 8
# Test that objects of different types can have the same name
def test_different_object_types_with_same_names(self):
T1 = pnl.TransferMechanism(name='MY NAME')
T2 = pnl.TransferMechanism(name='MY NAME')
P1 = pnl.MappingProjection(sender=T1, receiver=T2, name='MY NAME')
assert T1.name == 'MY NAME'
assert P1.name == 'MY NAME'
# ------------------------------------------------------------------------------------------------
# TEST 9
# Test that InputStates and Projections constructed on their own and assigned are properly named
def test_input_state_and_assigned_projection_names(self):
T1 = pnl.TransferMechanism(name='T1')
T2 = pnl.TransferMechanism(name='T2', input_states=[T1])
I1 = pnl.InputState(owner=T2)
I2 = pnl.InputState(projections=[T1])
assert I2.name == 'Deferred Init InputState'
T2.add_states([I2])
assert I1.name == 'InputState-1'
assert I2.name == 'InputState-2'
assert T2.input_states[0].path_afferents[0].name == \
'MappingProjection from T1[RESULTS] to T2[InputState-0]'
assert T2.input_states[2].path_afferents[0].name == \
'MappingProjection from T1[RESULTS] to T2[InputState-2]'
# ------------------------------------------------------------------------------------------------
# TEST 10
# Test that OutputStates are properly named
T1 = pnl.TransferMechanism(output_states=['MY OUTPUT_STATE',[0]])
assert T1.output_states[0].name == 'MY OUTPUT_STATE'
assert T1.output_states[1].name == 'OutputState-0'
O = pnl.OutputState(owner=T1)
assert T1.output_states[2].name == 'OutputState-1'
O2 = pnl.OutputState()
T1.add_states([O2])
assert T1.output_states[3].name == 'OutputState-2'
# ------------------------------------------------------------------------------------------------
# TEST 11
# Test that ControlSignals and ControlProjections are properly named
def test_control_signal_and_control_projection_names(self):
D1 = pnl.DDM(name='D1')
D2 = pnl.DDM(name='D2')
# ControlSignal with one ControlProjection
C1 = pnl.ControlMechanism(control_signals=[D1.parameter_states[
psyneulink.core.components.functions.distributionfunctions.DRIFT_RATE]])
assert C1.control_signals[0].name == 'D1[drift_rate] ControlSignal'
assert C1.control_signals[0].efferents[0].name == 'ControlProjection for D1[drift_rate]'
# ControlSignal with two ControlProjection to two parameters of same Mechanism
C2 = pnl.ControlMechanism(control_signals=[{pnl.PROJECTIONS:[D1.parameter_states[
psyneulink.core.components.functions.distributionfunctions.DRIFT_RATE],
D1.parameter_states[
psyneulink.core.components.functions.distributionfunctions.THRESHOLD]]}])
assert C2.control_signals[0].name == 'D1[drift_rate, threshold] ControlSignal'
assert C2.control_signals[0].efferents[0].name == 'ControlProjection for D1[drift_rate]'
assert C2.control_signals[0].efferents[1].name == 'ControlProjection for D1[threshold]'
# ControlSignal with two ControlProjection to two parameters of different Mechanisms
C3 = pnl.ControlMechanism(control_signals=[{pnl.PROJECTIONS:[D1.parameter_states[
psyneulink.core.components.functions.distributionfunctions.DRIFT_RATE],
D2.parameter_states[
psyneulink.core.components.functions.distributionfunctions.DRIFT_RATE]]}])
assert C3.control_signals[0].name == 'ControlSignal-0 divergent ControlSignal'
assert C3.control_signals[0].efferents[0].name == 'ControlProjection for D1[drift_rate]'
assert C3.control_signals[0].efferents[1].name == 'ControlProjection for D2[drift_rate]'
# ------------------------------------------------------------------------------------------------
# TEST 12
# Test that GatingSignals and GatingProjections are properly named
def test_gating_signal_and_gating_projection_names(self):
T3 = pnl.TransferMechanism(name='T3')
T4 = pnl.TransferMechanism(name='T4', input_states=['First State','Second State'])
# GatingSignal with one GatingProjection
G1 = pnl.GatingMechanism(gating_signals=[T3])
assert G1.gating_signals[0].name == 'T3[InputState-0] GatingSignal'
assert G1.gating_signals[0].efferents[0].name == 'GatingProjection for T3[InputState-0]'
# GatingSignal with two GatingProjections to two States of same Mechanism
G2 = pnl.GatingMechanism(gating_signals=[{pnl.PROJECTIONS:[T4.input_states[0], T4.input_states[1]]}])
assert G2.gating_signals[0].name == 'T4[First State, Second State] GatingSignal'
assert G2.gating_signals[0].efferents[0].name == 'GatingProjection for T4[First State]'
assert G2.gating_signals[0].efferents[1].name == 'GatingProjection for T4[Second State]'
# GatingSignal with two GatingProjections to two States of different Mechanisms
G3 = pnl.GatingMechanism(gating_signals=[{pnl.PROJECTIONS:[T3, T4]}])
assert G3.gating_signals[0].name == 'GatingSignal-0 divergent GatingSignal'
assert G3.gating_signals[0].efferents[0].name == 'GatingProjection for T3[InputState-0]'
assert G3.gating_signals[0].efferents[1].name == 'GatingProjection for T4[First State]'
# GatingProjections to ProcessingMechanism from GatingSignals of existing GatingMechanism
T5 = pnl.TransferMechanism(name='T5',
input_states=[T3.output_states[pnl.RESULTS],
G3.gating_signals['GatingSignal-0 divergent GatingSignal']],
output_states=[G3.gating_signals['GatingSignal-0 divergent GatingSignal']])
def test_composition_names(self):
C1 = pnl.Composition()
C2 = pnl.Composition()
C3 = pnl.Composition()
assert C1.name == 'Composition-0'
assert C2.name == 'Composition-1'
assert C3.name == 'Composition-2'