def get_sounds(dir: str) -> List[numpy.ndarray]:
sounds = []
for filename in listdir(dir):
realpath = path.join(dir, filename)
rate, data = cached_loader.load_wav(realpath)
sounds.append(data)
return sounds
def __init__(self, signal_strength: int = None):
super().__init__()
self.signal = signal_strength if signal_strength is not None else random.randint(
1, 3)
self._name = "%i barres de rézo" % self.signal
self.hpfreq, self.lpfreq, self.overdrive, self.gain = self._params_table[
self.signal]
rate, self.interf_fx = cached_loader.load_wav(
self._interference_filepath)
def get_sounds(dir: Path) -> List[numpy.ndarray]:
sounds = []
for filename in dir.iterdir():
rate, data = cached_loader.load_wav(str(filename))
sounds.append(data)
return sounds
def __init__(self):
super().__init__()
self.rate, self.track_data = cached_loader.load_wav(
self.sound_file)
def __init__(self):
super().__init__()
self.rate, self.fx_wave_array = cached_loader.load_wav(str(self.FAP_FX))