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September 11, 2015 20:56
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import expyfun | |
import numpy as np | |
import matplotlib.pyplot as plt | |
plt.ion() | |
wait_times = np.array([1, 10, 30]) * 1e-3 | |
n_waits = len(wait_times) | |
n_iter = 1000 | |
times = np.zeros((n_waits, n_iter)) | |
with expyfun.ExperimentController('wait_test', output_dir=None, participant='', | |
session='') as ec: | |
for ii in range(n_iter): | |
if np.mod(ii, 30) == 0: | |
ec.screen_text(str(int((100. * ii) / n_iter))) | |
ec.flip() | |
for wi, wait in enumerate(wait_times): | |
start = ec.current_time | |
ec.wait_secs(wait) | |
times[wi, ii] = ec.current_time - start | |
times *= 1000 | |
plt.plot(times.T - np.atleast_2d(wait_times * 1e3), '.') | |
plt.legend(['%i ms' % (wt * 1000) for wt in wait_times]) | |
plt.xlabel('Trial') | |
plt.ylabel('Timing difference (ms)') |
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