def run_camstim_debug(img_stack, timing_list, frame_length, runs):
assert (img_stack.dtype) == 'uint8'
assert len(img_stack.shape) == 3
from camstim import SweepStim, MovieStim
from camstim import Foraging
from camstim import Window
# Create display window, warped
window = Window(fullscr=True, monitor='Gamma1.Luminance50', screen=0)
tmp_dir = tempfile.mkdtemp()
timing_list = sorted(timing_list, key=lambda x: x[0])
movie_path = '%s.npy' % get_hash(img_stack)
np.save(movie_path, img_stack)
movie = MovieStim(movie_path=movie_path,
window=window,
frame_length=frame_length,
size=(opc.SCREEN_W, opc.SCREEN_H),
start_time=0.0,
stop_time=None,
flip_v=True,
runs=runs)
movie.set_display_sequence(timing_list)
stimuli = [movie]
ss = SweepStim(window, stimuli=stimuli, pre_blank_sec=0, post_blank_sec=0)
f = Foraging(window=window,
auto_update=False,
nidaq_tasks={
'digital_input': ss.di,
'digital_output': ss.do,
}) #share di and do with SS
ss.add_item(f, "foraging")
ss.run()
timing_list = [(ii * frame_length * number_of_frames,
(ii + 1) * frame_length * number_of_frames)
for ii in range(runs)]
curr_stimulus_list, tf = get_block(file_name,
timing_list,
frame_length,
runs,
t0=t0)
stimuli.append(curr_stimulus_list)
assert tf - t0 == expected_familiar_movie_duration
assert tf == expected_total_duration
params = {}
ss = SweepStim(
window,
stimuli=stimuli,
pre_blank_sec=0,
post_blank_sec=0,
params=params,
)
f = Foraging(window=window,
auto_update=False,
params=params,
nidaq_tasks={
'digital_input': ss.di,
'digital_output': ss.do,
}) #share di and do with SS
ss.add_item(f, "foraging")
ss.run()