def test_linked_var_in_reset_size_1():
G1 = NeuronGroup(1, 'x:1')
G2 = NeuronGroup(1, '''x_linked : 1 (linked)
y:1''',
threshold='y>1', reset='y=0; x_linked += 1')
G2.x_linked = linked_var(G1, 'x')
G2.y = 1.1
# In this context, x_linked should not be considered as a scalar variable
# and therefore the reset statement should be allowed
run(3*defaultclock.dt)
assert_equal(G1.x[:], 1)
def test_linked_var_in_reset_size_1():
G1 = NeuronGroup(1, 'x:1')
G2 = NeuronGroup(1, '''x_linked : 1 (linked)
y:1''',
threshold='y>1', reset='y=0; x_linked += 1')
G2.x_linked = linked_var(G1, 'x')
G2.y = 1.1
# In this context, x_linked should not be considered as a scalar variable
# and therefore the reset statement should be allowed
run(3*defaultclock.dt)
assert_equal(G1.x[:], 1)
def test_linked_var_in_reset_incorrect():
# Raise an error if a scalar variable (linked variable from a group of size
# 1 is set in a reset statement of a group with size > 1)
G1 = NeuronGroup(1, 'x:1')
G2 = NeuronGroup(2, '''x_linked : 1 (linked)
y:1''',
threshold='y>1', reset='y=0; x_linked += 1')
G2.x_linked = linked_var(G1, 'x')
G2.y = 1.1
net = Network(G1, G2)
# It is not well-defined what x_linked +=1 means in this context
# (as for any other shared variable)
assert_raises(SyntaxError, lambda: net.run(0*ms))
def test_linked_var_in_reset_incorrect():
# Raise an error if a scalar variable (linked variable from a group of size
# 1 is set in a reset statement of a group with size > 1)
G1 = NeuronGroup(1, 'x:1')
G2 = NeuronGroup(2, '''x_linked : 1 (linked)
y:1''',
threshold='y>1', reset='y=0; x_linked += 1')
G2.x_linked = linked_var(G1, 'x')
G2.y = 1.1
net = Network(G1, G2)
# It is not well-defined what x_linked +=1 means in this context
# (as for any other shared variable)
assert_raises(SyntaxError, lambda: net.run(0*ms))
