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()
# kwargs
params = {
#'syncsqrloc': (510,360),
#'syncsqrsize': (50,140),
'syncpulse': True,
'syncpulseport': 1,
#'syncpulselines': [1,2],
'trigger_delay_sec': 5.0,
}
# create SweepStim instance
ss = SweepStim(
window,
stimuli=[size_by_contrast, behavior_flashes],
pre_blank_sec=2,
post_blank_sec=2,
params=params,
)
# add in foraging so we can track wheel, potentially give rewards, etc
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")
# run it
#}
params = {
'syncsqrloc': (510, 360), #added by DM
'syncsqrsize': (50, 140), #added by DM
'syncpulse': True,
'syncpulseport': 1,
'syncpulselines': [1, 2], #[5, 6], # frame, start/stop
'trigger_delay_sec': 5.0,
}
# create SweepStim instance
ss = SweepStim(
window,
stimuli=[ms],
pre_blank_sec=2, #TODO: 60
post_blank_sec=2,
params=params,
)
# add in foraging so we can track wheel, potentially give rewards, etc
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")
# run it
'syncsqrsize': (80, 140),
'syncpulse': True,
'syncpulseport': 1,
'syncpulselines': [1, 2], # frame, start/stop
'trigger_delay_sec': 5.0,
}
# create SweepStim instance
ss = SweepStim(
window,
stimuli=[
surround,
annulus_1,
annulus_2,
annulus_3,
annulus_4,
annulus_5,
center,
lsn,
],
pre_blank_sec=2,
post_blank_sec=2,
params=params,
)
# add in foraging so we can track wheel, potentially give rewards, etc
f = Foraging(
window=window,
auto_update=False,
params=params,
nidaq_tasks={
'digital_input': ss.di,