def main():
'''Driver code'''
app = S3App()
app.load_file(input('Enter filename: '))
app.load_trainedsynth()
s = Server()
s.setMidiInputDevice(99) # Open all input devices.
s.boot()
def play_midi(filename: str):
mid = MidiFile(filename)
# ... and reading its content.
for message in mid.play():
# For each message, we convert it to integer data with the bytes()
# method and send the values to pyo's Server with the addMidiEvent()
# method. This method programmatically adds a MIDI message to the
# server's internal MIDI event buffer.
s.addMidiEvent(*message.bytes())
Synthesiser = S3Synth(app.reg.coef_)
a = Synthesiser.out()
s.gui(locals())
self._metro.play()
self._table_rec.play()
self._trig_dump.play()
return self
def stop(self):
self._metro.stop()
self._table_rec.stop()
self._trig_dump.stop()
def print_data(self, num, step=1):
self.cpt = 0
self.num = num
print "\n>>>class AccDataAnalyser"
if step > 1:
print "[[X list], [Y list], [Z list]] Data for %d buffers in steps of %d." % (num, step)
self.percent = Percent(self._table_rec['trig'], percent=100./step)
self.trig_print = TrigFunc(self.percent, self._print_data)
else:
print "[[X list], [Y list], [Z list]] Data for %d buffer(s)." % num
self.trig_print = TrigFunc(self._table_rec['trig'], self._print_data)
if __name__ == "__main__":
from pyo import Server
s = Server(sr=SAMP_RATE, buffersize=BUFFER_SIZE).boot()
acc = AccDataAnalyser(12000, "/accxyz").play()
#acc.print_data(4,10)
s.gui(locals())
# Run this script to test the Aqueous class.
if __name__ == "__main__":
from pyo import Delay, Metro, Server, Snap, TrigXnoiseMidi, WGVerb, Pattern
s = Server(duplex=0).boot()
s.setAmp(1.0)
s.start()
t = 3.776
metroAqueous = Metro(time=t * 2).play()
noteAqeous = TrigXnoiseMidi(metroAqueous, dist=0, mrange=(42, 83))
snapAqueous = Snap(noteAqeous, choice=[0, 2, 4, 5, 7, 9, 11], scale=1)
a = Aqueous(snapAqueous, dur=t * 0.75, mul=0.9)
def noteOn():
a.play()
playAqueous = Pattern(function=noteOn, time=t * 2).play()
delay = Delay(a,
delay=t * 0.75,
feedback=0.6,
maxdelay=t * 0.75,
mul=0.445)
wetdry = delay + a
d = WGVerb(wetdry,
feedback=[0.73, 0.76],
cutoff=5000,
bal=0.25,
mul=0.2985).out()
s.gui(locals())
Table containing the waveform samples.
freq: float or PyoObject, optional
Frequency in cycles per second. Defaults to 1.
loop: int {0, 1}, optional
Looping mode, 0 means off, 1 means on. Defaults to 0.
interp: int, optional
Choice of the interpolation method. Defaults to 2.
"""
super().__init__(table,
freq=freq,
loop=loop,
interp=interp,
mul=mul,
add=add)
TrigFunc(self["trig"], lambda: print("LOOP\n\n\n\n\n\n\n"))
if __name__ == "__main__":
from pyo import Server, TableRead
def close():
server.closeGui()
inst.close()
server = Server().boot()
inst = AudioTable(r"D:\music\mosesdt.mp3", 0)
inst.decode()
inst.view()
reader = AudioReader(inst, inst.getRate(), loop=1).out()
server.gui(locals())
