116 lines
4.4 KiB
Python
116 lines
4.4 KiB
Python
from stimuli.SinusAmplitudeModulation import SinusAmplitudeModulationStimulus
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import unittest
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import numpy as np
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import matplotlib.pyplot as plt
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class SinusoidalStimulusTester(unittest.TestCase):
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base_frequencies = [0, 10, 100, 1000]
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contrasts = [0, 0.5, 1, 1.5]
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modulation_frequencies = [0, 5, 10, 100]
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step_sizes = [1, 0.5, 0.00005]
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time_starts = [0, 2, -2]
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durations = [2]
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def setUp(self):
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pass
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def tearDown(self):
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pass
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def test_consistency_base_frequency(self):
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contrast = 0.1
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mod_freq = 5
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time_start = -1
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duration = 10
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step_size = 0.00005
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for base_freq in self.base_frequencies:
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stimulus = SinusAmplitudeModulationStimulus(base_freq, contrast, mod_freq, 0, 8)
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self.assertTrue(array_and_time_points_equal(stimulus, time_start, duration, step_size),
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msg="Stimulus values inconsistent with base freq: {:.2f}".format(base_freq))
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def test_consistency_contrast(self):
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base_freq = 700
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mod_freq = 5
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time_start = -1
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duration = 10
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step_size = 0.00005
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for contrast in self.contrasts:
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stimulus = SinusAmplitudeModulationStimulus(base_freq, contrast, mod_freq, 0, 8)
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self.assertTrue(array_and_time_points_equal(stimulus, time_start, duration, step_size),
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msg="Stimulus values inconsistent with contrast: {:.2f}".format(contrast))
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def test_consistency_modulation_frequency(self):
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contrast = 0.1
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base_freq = 700
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time_start = -1
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duration = 10
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step_size = 0.00005
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for mod_freq in self.modulation_frequencies:
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stimulus = SinusAmplitudeModulationStimulus(base_freq, contrast, mod_freq, 0, 1)
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self.assertTrue(array_and_time_points_equal(stimulus, time_start, duration, step_size),
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msg="Stimulus values inconsistent with mod freq: {:.2f}".format(mod_freq))
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def test_consistency_step_size(self):
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contrast = 0.1
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base_freq = 700
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time_start = -1
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duration = 10
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mod_freq = 10
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for step_size in self.step_sizes:
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stimulus = SinusAmplitudeModulationStimulus(base_freq, contrast, mod_freq, 0, 8)
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self.assertTrue(array_and_time_points_equal(stimulus, time_start, duration, step_size),
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msg="Stimulus values inconsistent with step_size: {:.3f}ms".format(step_size)*1000)
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def test_consistency_time_start(self):
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contrast = 0.1
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base_freq = 700
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mod_freq = 10
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duration = 10
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step_size = 0.00005
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for time_start in self.time_starts:
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stimulus = SinusAmplitudeModulationStimulus(base_freq, contrast, mod_freq, 0, 8)
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self.assertTrue(array_and_time_points_equal(stimulus, time_start, duration, step_size),
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msg="Stimulus values inconsistent when the time starts at: {:.2f}s".format(time_start))
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def array_and_time_points_equal(stimulus, start, duration, step_size):
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precision = 15
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array = np.around(stimulus.as_array(start, duration, step_size), precision)
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time = np.arange(start, start+duration, step_size)
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for i, time_point in enumerate(time):
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value = stimulus.value_at_time_in_s(time_point)
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if array[i] != np.round(value, precision):
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stim_per_point = []
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for t in time:
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stim_per_point.append(stimulus.value_at_time_in_s(t))
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stim_per_point = np.around(np.array(stim_per_point), precision)
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fig, axes = plt.subplots(2, 1, sharex="all")
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axes[0].plot(time, array, label="array")
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axes[0].plot(time, stim_per_point, label="individual")
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axes[0].set_title("stimulus values")
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axes[0].legend()
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axes[1].plot(time, np.array(stim_per_point)-array)
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axes[1].set_title("difference")
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plt.show()
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return False
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# stim_per_point = []
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# for t in time:
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# stim_per_point.append(stimulus.value_at_time_in_s(t))
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#
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# stim_per_point = np.around(np.array(stim_per_point), precision)
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# fig, axes = plt.subplots(1, 1, sharex="all")
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# axes.plot(time, array, label="array")
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# axes.plot(time, stim_per_point, label="individual")
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# axes.set_title("stimulus values")
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# axes.legend()
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#
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# plt.show()
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return True
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