Alexander/P-unit_model
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adapt tests to new model behaviour

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This commit is contained in:
a.ott 2020-05-27 09:10:31 +02:00
parent 9c434117fa
commit b1c5a6b0a4
1 changed files with 3 additions and 3 deletions

6
unittests/testLifacNoise.py
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@ -47,7 +47,7 @@ class LifacNoiseTester(unittest.TestCase):
self.assertTrue(np.array_equal(spikes, spikes_fast), msg="The spike times between the fast and slow simulation aren't equal")
def test_find_v_offset(self):
v_offsets = [-10, 50, 100, 150, 250]
v_offsets = [-2, 50, 100, 150]
threshold = 0.01
test_model = self.model.get_model_copy()
stimulus = SinusAmplitudeModulationStimulus(700, 0, 0, amplitude=0) # no stimulus
@ -69,6 +69,6 @@ class LifacNoiseTester(unittest.TestCase):
# print("freqs:", goal_freq, measured_freq)
self.assertTrue(abs(offset - measured_offset) < 1)
def test_fin_v_offset_threshold_limit(self):
def test_find_v_offset_threshold_limit(self):
for threshold in [0, -0.0001, -2, -500]:
self.assertRaises(ValueError, self.model.find_v_offset, 700, self.base_sinus, threshold)
self.assertRaises(ValueError, self.model.find_v_offset, 300, self.base_sinus, threshold)