testing effect of number of vertices on expyfun circle draw times

n_edges_draw_time_test.py

import expyfun
import numpy as np
import matplotlib.pyplot as plt
plt.ioff()

n_iter = 10000
edges = np.arange(4, 17, dtype=int)
edges = [10, 100, 500]
times = np.zeros(n_iter)
with expyfun.ExperimentController('wait_test', output_dir=None,
                                  participant='', session='') as ec:
    ec.wait_secs(0.5)
    for n_edges in edges:
        st = ec.current_time
        for ii in range(n_iter):
            obj = expyfun.visual.Circle(ec, radius=0.5, n_edges=n_edges)
            start = ec.current_time
            obj.draw()
            times[ii] = ec.current_time - start
            #ec.flip()
        dur = ec.current_time - st
        print(dur)
        plt.plot(1e3 * times, '-', label=str(n_edges))
plt.xlabel('Trial')
plt.ylabel('Timing delay (ms)')
plt.legend(frameon=False, title='num edges per circle')
plt.show()

adaptation of this gist by @rkmaddox

This is the fourth time running it. It gets worse the more you run it.