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adapt runtime test to changes

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a.ott 2020-02-18 16:31:08 +01:00
parent af2172c81b
commit 234f58404e
1 changed files with 5 additions and 8 deletions
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generalTests.py
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@ -75,19 +75,16 @@ def test_peak_detection():
def test_simulation_speed(): def test_simulation_speed():
parameters = {'mem_tau': 21.348990483539083, 'delta_a': 20.41809814660199, 'input_scaling': 3.0391541280864196, 'v_offset': 26.25, 'threshold': 1, 'v_base': 0, 'step_size': 0.01, 'tau_a': 158.0404259501454, 'a_zero': 0, 'v_zero': 0, 'noise_strength': 2.87718460648148} parameters = {'mem_tau': 21.348990483539083, 'delta_a': 20.41809814660199, 'input_scaling': 3.0391541280864196, 'v_offset': 26.25, 'threshold': 1, 'v_base': 0, 'step_size': 0.01, 'tau_a': 158.0404259501454, 'a_zero': 0, 'v_zero': 0, 'noise_strength': 2.87718460648148}
model = LifacNoiseModel(parameters) model = LifacNoiseModel(parameters)
repetitions = 30 repetitions = 20
seconds = 10 seconds = 10
stimulus = SinusAmplitudeModulationStimulus(750, 0.3, 10) stimulus = SinusAmplitudeModulationStimulus(750, 1, 10, 1, 8)
time_start = 0
t_start = time.time() t_start = time.time()
for i in range(repetitions): for i in range(repetitions):
v, spikes = model.simulate_fast(stimulus, seconds) v, spikes = model.simulate_fast(stimulus, seconds, time_start)
plt.plot(v)
plt.show()
t_end = time.time() t_end = time.time()
print("baseline markers:",model.calculate_baseline_markers(750, 3))
print("took:", round((t_end-t_start)/repetitions, 2), "seconds for " + str(seconds) + "s simulation", "step size:", parameters["step_size"]) print("took:", round((t_end-t_start)/repetitions, 2), "seconds for " + str(seconds) + "s simulation", "step size:", parameters["step_size"])