def test_precomputed():
sounds = [slab.Sound.whitenoise() for _ in range(10)]
sounds = slab.Precomputed(sounds)
sounds = slab.Precomputed(sounds.random_choice(5))
sounds.write(PATH / "precomputed.zip")
sounds = slab.Precomputed.read(PATH / "precomputed.zip")
cfg = slab.psychoacoustics.load_config("tests/config.txt")
def make_binaural_adaptors():
kwargs = {
'speed': _adaptor_speed,
'snr': 100,
'direction': _adaptor_dir,
'externalize': False
}
make_adaptor = functools.partial(moving_gaussian, **kwargs)
return slab.Precomputed(make_adaptor, _n_adaptors_per_trial * 1)
def test_localization_test_headphones(self):
targets = main.TABLE.head()
signals = [
slab.Precomputed(lambda: slab.Binaural(
[slab.Sound.pinknoise(),
slab.Sound.pinknoise()]),
n=10) for i in range(len(targets))
]
seq = main.localization_test_headphones(targets=targets,
signals=signals,
n_reps=1,
n_images=5,
visual=False)
assert len(seq.trials) == len(seq.data)
def make_adapters():
'Pre-make many adapter instances to speed-up constructing the stimuli.'
kwargs = {'speed': _adapter_speed, 'SNR': 100, 'direction': _adapter_dir}
make_adapter = functools.partial(moving_gaussian, **kwargs)
adapter_list = slab.Precomputed(make_adapter, _n_adapters_per_trial * 3)
return adapter_list