def test_video(hide_window):
"""Test EC video methods."""
std_kwargs.update(dict(enable_video=True, window_size=(640, 480)))
video_path = fetch_data_file('video/example-video.mp4')
with ExperimentController('test', **std_kwargs) as ec:
ec.load_video(video_path)
ec.video.play()
pytest.raises(ValueError, ec.video.set_pos, [1, 2, 3])
pytest.raises(ValueError, ec.video.set_scale, 'foo')
pytest.raises(ValueError, ec.video.set_scale, -1)
ec.wait_secs(0.1)
ec.video.set_visible(False)
ec.wait_secs(0.1)
ec.video.set_visible(True)
ec.video.set_scale('fill')
ec.video.set_scale('fit')
ec.video.set_scale('0.5')
ec.video.set_pos(pos=(0.1, 0), units='norm')
ec.video.pause()
ec.video.draw()
ec.delete_video()
def test_video():
"""Test EC video methods."""
std_kwargs.update(dict(enable_video=True, window_size=(640, 480)))
video_path = fetch_data_file('video/example-video.mp4')
with ExperimentController('test', **std_kwargs) as ec:
ec.load_video(video_path)
ec.video.play()
assert_raises(ValueError, ec.video.set_pos, [1, 2, 3])
assert_raises(ValueError, ec.video.set_scale, 'foo')
assert_raises(ValueError, ec.video.set_scale, -1)
ec.wait_secs(0.1)
ec.video.set_visible(False)
ec.wait_secs(0.1)
ec.video.set_visible(True)
ec.video.set_scale('fill')
ec.video.set_scale('fit')
ec.video.set_scale('0.5')
ec.video.set_pos(pos=(0.1, 0), units='norm')
ec.video.pause()
ec.video.draw()
ec.delete_video()
======================
Video property control
======================
This shows how to control various properties of a video file in expyfun.
@author: drmccloy
"""
import numpy as np
from expyfun import (ExperimentController, fetch_data_file, building_doc,
analyze as ea)
print(__doc__)
movie_path = fetch_data_file('video/example-video.mp4')
ec_args = dict(exp_name='advanced video example',
window_size=(720, 480),
full_screen=False,
participant='foo',
session='foo',
version='dev',
enable_video=True,
output_dir=None)
colors = [x for x in 'rgbcmyk']
with ExperimentController(**ec_args) as ec:
screen_period = 1. / ec.estimate_screen_fs()
all_presses = list()
ec.load_video(movie_path)
This shows how to make simple vocoded stimuli.
@author: larsoner
"""
import numpy as np
import matplotlib.pyplot as mpl
from expyfun.stimuli import vocode, play_sound, window_edges, read_wav, rms
from expyfun import fetch_data_file
print(__doc__)
data, fs = read_wav(fetch_data_file('audio/dream.wav'))
data = window_edges(data[0], fs)
t = np.arange(data.size) / float(fs)
# noise vocoder
data_noise = vocode(data, fs, mode='noise')
data_noise = data_noise * 0.01 / rms(data_noise)
# sinewave vocoder
data_tone = vocode(data, fs, mode='tone')
data_tone = data_tone * 0.01 / rms(data_tone)
# poisson vocoder
data_click = vocode(data, fs, mode='poisson', rate=400)
data_click = data_click * 0.01 / rms(data_click)
# combine all three
cutoff = data.shape[-1] // 3
data_allthree = data_noise.copy()
def test_visuals():
"""Test EC visual methods
"""
with ExperimentController('test', **std_kwargs) as ec:
assert_raises(TypeError, visual.Circle, ec, n_edges=3.5)
assert_raises(ValueError, visual.Circle, ec, n_edges=3)
circ = visual.Circle(ec)
circ.draw()
assert_raises(ValueError, circ.set_radius, [1, 2, 3])
assert_raises(ValueError, circ.set_pos, [1])
assert_raises(ValueError, visual.Triangle, ec, [5, 6])
tri = visual.Triangle(ec, [[-1, 0, 1], [-1, 1, -1]],
units='deg',
line_width=1.0)
tri.draw()
rect = visual.Rectangle(ec, [0, 0, 1, 1], line_width=1.0)
rect.draw()
diamond = visual.Diamond(ec, [0, 0, 1, 1], line_width=1.0)
diamond.draw()
assert_raises(TypeError, visual.ConcentricCircles, ec, colors=dict())
assert_raises(TypeError,
visual.ConcentricCircles,
ec,
colors=np.array([]))
assert_raises(ValueError, visual.ConcentricCircles, ec, radii=[[1]])
assert_raises(ValueError, visual.ConcentricCircles, ec, radii=[1])
fix = visual.ConcentricCircles(ec,
radii=[1, 2, 3],
colors=['w', 'k', 'y'])
fix.set_pos([0.5, 0.5])
fix.set_radius(0.1, 1)
fix.set_radii([0.1, 0.2, 0.3])
fix.set_color('w', 1)
fix.set_colors(['w', 'k', 'k'])
fix.set_colors(('w', 'k', 'k'))
assert_raises(IndexError, fix.set_color, 'w', 3)
assert_raises(ValueError, fix.set_colors, ['w', 'k'])
assert_raises(ValueError, fix.set_colors, np.array(['w', 'k', 'k']))
assert_raises(IndexError, fix.set_radius, 0.1, 3)
assert_raises(ValueError, fix.set_radii, [0.1, 0.2])
fix.draw()
fix_2 = visual.FixationDot(ec)
fix_2.draw()
assert_raises(ValueError, rect.set_pos, [0, 1, 2])
img = visual.RawImage(ec, np.ones((3, 3, 4)))
print(img.bounds) # test bounds
assert_equal(img.scale, 1)
img.draw()
line = visual.Line(ec, [[0, 1], [1, 0]])
line.draw()
assert_raises(ValueError, line.set_line_width, 100)
line.set_line_width(2)
line.draw()
assert_raises(ValueError, line.set_coords, [0])
line.set_coords([0, 1])
ec.set_background_color('black')
text = visual.Text(ec,
'Hello {color (255 0 0 255)}Everybody!',
pos=[0, 0],
color=[1, 1, 1],
wrap=False)
text.draw()
text.set_color(None)
text.draw()
text = visual.Text(ec,
'Thank you, come again.',
pos=[0, 0],
color='white',
attr=False)
text.draw()
text.set_color('red')
text.draw()
# test video
std_kwargs.update(dict(enable_video=True, window_size=(640, 480)))
video_path = fetch_data_file('video/example-video.mp4')
with ExperimentController('test', **std_kwargs) as ec:
ec.load_video(video_path)
ec.video.play()
assert_raises(ValueError, ec.video.set_scale, 'foo')
assert_raises(ValueError, ec.video.set_scale, -1)
ec.video.set_scale('fill')
ec.video.set_scale('fit')
ec.video.set_scale(0.5)
ec.video.set_pos(pos=(0.1, 0), units='norm')
ec.wait_secs(0.2)
ec.video.pause()
ec.delete_video()
======================
Play sample video file
======================
This shows how to control various properties of a video file in expyfun.
@author: drmccloy
"""
import numpy as np
from expyfun import ExperimentController, fetch_data_file
print(__doc__)
movie_path = fetch_data_file('video/example-video.mp4')
ec_args = dict(exp_name='advanced video example', window_size=(720, 480),
full_screen=False, participant='foo', session='foo',
version='dev', enable_video=True, output_dir=None)
colors = [x for x in 'rgbcmyk']
with ExperimentController(**ec_args) as ec:
screen_period = 1. / ec.estimate_screen_fs()
all_presses = list()
ec.load_video(movie_path)
ec.video.set_scale('fill')
ec.screen_prompt('press 1 during video to toggle pause.', max_wait=1.)
ec.listen_presses() # to catch presses on first pass of while loop
t_zero = ec.video.play()
this_sec = 0
========================
This shows how to make simple vocoded stimuli.
@author: larsoner
"""
import numpy as np
import matplotlib.pyplot as plt
from expyfun.stimuli import vocode, play_sound, window_edges, read_wav, rms
from expyfun import fetch_data_file
print(__doc__)
data, fs = read_wav(fetch_data_file('audio/dream.wav'))
data = window_edges(data[0], fs)
t = np.arange(data.size) / float(fs)
# noise vocoder
data_noise = vocode(data, fs, mode='noise')
data_noise = data_noise * 0.01 / rms(data_noise)
# sinewave vocoder
data_tone = vocode(data, fs, mode='tone')
data_tone = data_tone * 0.01 / rms(data_tone)
# poisson vocoder
data_click = vocode(data, fs, mode='poisson', rate=400)
data_click = data_click * 0.01 / rms(data_click)
# combine all three
cutoff = data.shape[-1] // 3
data_allthree = data_noise.copy()