79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
from stimuli.AbstractStimulus import AbstractStimulus
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import numpy as np
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from numba import jit, njit
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class SinusoidalStepStimulus(AbstractStimulus):
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def __init__(self, frequency, contrast, start_time=0, duration=np.inf, amplitude=1):
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self.contrast = 1 + contrast
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self.amplitude = amplitude
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self.frequency = frequency
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self.start_time = start_time
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self.duration = duration
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def value_at_time_in_s(self, time_point):
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carrier = np.sin(2 * np.pi * self.frequency * time_point)
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if time_point > self.start_time and time_point < self.start_time + self.duration:
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return self.amplitude * carrier * self.contrast
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return self.amplitude * carrier
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def get_stimulus_start_s(self):
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return self.start_time
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def get_stimulus_duration_s(self):
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return self.duration
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def get_amplitude(self):
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return self.contrast
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def as_array(self, time_start, total_time, step_size):
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frequency = self.frequency
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amp = self.amplitude
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contrast = self.contrast
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start_time = self.start_time
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duration = self.duration
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values = convert_to_array(frequency, amp, contrast, start_time, duration, time_start, total_time, step_size)
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return values
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# @jit(nopython=True) # makes it slower?
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def convert_to_array(frequency, amplitude, contrast, start_time, duration, time_start, total_time, step_size_s):
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full_time = np.arange(time_start, time_start + total_time, step_size_s)
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full_carrier = np.sin(2 * np.pi * frequency * full_time)
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if start_time > time_start+total_time or start_time+duration < time_start:
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if contrast != 0:
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print("SinusoidalStepStimulus: converted to array in a range outside of step!")
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return full_carrier * amplitude
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else:
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if start_time >= time_start:
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am_start = start_time
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else:
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am_start = time_start
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if time_start + total_time >= start_time + duration:
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am_end = start_time + duration
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else:
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am_end = time_start + total_time
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idx_start = (am_start - time_start) / step_size_s
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idx_end = (am_end - time_start) / step_size_s
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if idx_start != round(idx_start) or idx_end != round(idx_end):
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pass
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# raise ValueError("Didn't calculate integers when searching the start and end index. start:", idx_start, "end:", idx_end)
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# print("am_start: {:.0f}, am_end: {:.0f}, length: {:.0f}".format(am_start, am_end, am_end-am_start))
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idx_start = int(idx_start)
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idx_end = int(idx_end)
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values = full_carrier * amplitude
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values[idx_start:idx_end] = values[idx_start:idx_end]*contrast
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return values
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