def test_GlobalNeuronRandomVariable(self):
self.test_net.simulate(1)
if _check_paradigm("openmp"):
self.assertTrue(np.allclose(self.net_global_pop.r, [0.669746040447]))
elif _check_paradigm("cuda"):
self.assertTrue(np.allclose(self.net_global_pop.r, [0.0883819042494]))
else:
raise NotImplementedError
def testLocalNeuronRandomVariable(self):
self.test_net.simulate(1)
if _check_paradigm("openmp"):
self.assertTrue(np.allclose(self.net_local_pop.r, [0.99718481, 0.93255736, 0.12812445]))
elif _check_paradigm("cuda"):
self.assertTrue(np.allclose(self.net_local_pop.r, [0.72449183, 0.43824338, 0.50516922]))
else:
raise NotImplementedError
def testLocalSynapseRandomVariable(self):
self.test_net.simulate(1)
if _check_paradigm("openmp"):
self.assertTrue(np.allclose(self.test_proj.w, [[-0.0005497461789554497], [-0.001402872709127921], [0.0015827522919751402], [-0.0010451468104420224], [0.0002575935412914901]]))
elif _check_paradigm("cuda"):
self.assertTrue(np.allclose(self.test_proj.w, [[0.00042327516097052], [-0.0012390467863954901], [0.000405209302949961], [0.00023072272200176617], [0.0005326660317661457]]))
else:
raise NotImplementedError
def test_GlobalNeuronRandomVariable(self):
self.test_net.simulate(1)
if _check_paradigm("openmp"):
self.assertTrue(
np.allclose(self.net_global_pop.r, [0.669746040447]))
elif _check_paradigm("cuda"):
self.assertTrue(
np.allclose(self.net_global_pop.r, [0.0883819042494]))
else:
raise NotImplementedError
def testLocalNeuronRandomVariable(self):
self.test_net.simulate(1)
if _check_paradigm("openmp"):
self.assertTrue(
np.allclose(self.net_local_pop.r,
[0.99718481, 0.93255736, 0.12812445]))
elif _check_paradigm("cuda"):
self.assertTrue(
np.allclose(self.net_local_pop.r,
[0.72449183, 0.43824338, 0.50516922]))
else:
raise NotImplementedError
def testLocalSynapseRandomVariable(self):
self.test_net.simulate(1)
if _check_paradigm("openmp"):
self.assertTrue(
np.allclose(self.test_proj.w,
[[-0.0005497461789554497], [-0.001402872709127921],
[0.0015827522919751402], [-0.0010451468104420224],
[0.0002575935412914901]]))
elif _check_paradigm("cuda"):
self.assertTrue(
np.allclose(self.test_proj.w,
[[0.00042327516097052], [-0.0012390467863954901],
[0.000405209302949961], [0.00023072272200176617],
[0.0005326660317661457]]))
else:
raise NotImplementedError
from ANNarchy.core.Global import _check_paradigm, _check_precision
from .test_BuiltinFunctions import test_BuiltinFunctions
from .test_connectivity import TestConnectivity
from .test_CustomFunc import test_CustomFunc
from .test_Dendrite import test_Dendrite
from .test_GlobalOperation import test_GlobalOps_1D, test_GlobalOps_2D, test_SynapticAccess
from .test_ITE import test_ITE
from .test_neuron_update import TestNeuronUpdate
from .test_NumericalMethod import test_Explicit, test_Exponential, test_Implicit, test_Midpoint, test_ImplicitCoupled, test_MidpointCoupled, test_Precision
from .test_Population import test_Population1D, test_Population2D, test_Population3D, test_Population2x3D
from .test_PopulationView import test_PopulationView
from .test_Projection import test_Projection
from .test_Record import test_Record
from .test_RateTransmission import test_RateTransmission, test_RateTransmissionDelayLocalVariable, test_RateTransmissionGlobal
if _check_paradigm('openmp'):
from .test_RateTransmission import test_RateTransmissionNonuniformDelayLocalVariable
from .test_SpikingNeuron import test_SpikingCondition
from .test_Synapse import test_Locality, test_AccessPSP
from .test_SpikingSynapse import test_PreSpike, test_PostSpike
from .test_TimedArray import test_TimedArray
if _check_precision('double'):
from .test_RandomVariables import test_NeuronRandomVariables, test_SynapseRandomVariables
# Some features and accordingly Unittests are only allowed on specific platforms
if _check_paradigm('openmp'):
from .test_StructuralPlasticity import test_StructuralPlasticityEnvironment, test_StructuralPlasticityModel