def to_infinity_curve_test():
c = Line(-80, -10, 10e3)
p = Line(-100, 100, 5e3)
#s = Sine(duration=20e3)*Gain(c)
s = Sine(duration=10e3) * Pan(p)
audio = s.mixdown(sample_rate=11025, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, to_infinity_curve_test)
def test_implicit_add_channel():
s = Sine() #[0:2]
#s[0] += 0.4*Triangle(duration=6e3) # exceeding signal bounds in time
s[2] = 0.2 * Triangle() # channels it into mono channel with empty R
#print(s)
audio = s.mixdown(sample_rate=11025, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, test_implicit_add_channel)
def multichannel_test():
s = Sine(frequency=midC(1))
s[1] = Sine(frequency=midC(-3))
s[2] = Sine(frequency=midC(-7))
s[3] = Sine(frequency=midC(4))
audio = s.mixdown(sample_rate=11025, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, multichannel_test)
def slice_test():
hihat = WAV(african)[:1061] * MovingAverage(5)
hihat **= 30
part = WAV(african)[5 * 1061:5 * 1061 + 3 * 1061]
part **= 20
s = WAV(african) + part * Shift(4 * 1061) * Gain(-6) - hihat
#s = hihat
audio = s.mixdown(sample_rate=32000, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, slice_test)
def pan_mono_test3():
s = Sine(duration=2e3) * Pan(-100)
s |= Sine(duration=2e3) * Pan(0)
s |= Sine(duration=2e3) * Pan(100)
c = Line(-100, 100, 5e3) | Logistic(100, -100, duration=5e3)
s2 = Sine(duration=10e3) * Pan(c)
Pan.panLaw = -6
audio = s2.mixdown(sample_rate=11025, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, pan_mono_test3)
def reverse_phase_test():
s = WAV(african)
L = s[10e3:11e3] | -s[11e3:12e3] | s[12e3:13e3] | -s[13e3:14e3] | s[14e3:15e3] \
| -s[15e3:16e3] | s[16e3:17e3]
R = s[10e3:17e3]
s = L * Repan(0, None) + R * Repan(None, 1)
audio = s.mixdown(sample_rate=44100, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, reverse_phase_test)
def test_ADSR():
notes = [-3, -6, 1, 4, 3, -1, 1, 9, 8, 4, 6] * 2
melody = Signal.concat(*[
Square(frequency=midC(notes[i]), duration=0.5e3) * ADSR(attack=0.03e3,
decay=0.1e3,
sustain=0.8,
release=0.02e3,
hold=0.1e3)
for i in range(len(notes))
])
melody[1] = Signal.concat(*[
Square(frequency=midC(notes[(i + 2) % (len(notes))]), duration=0.5e3) *
ADSR(attack=0.03e3, decay=0.1e3, sustain=0.8, release=0.02e3, hold=0)
for i in range(len(notes))
])
melody *= MovingAverage(5)
audio = melody.mixdown(sample_rate=24000, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, test_ADSR)
def pan_mono_test2():
panMax = 100
panMin = -100
width = panMax - panMin
eps = 0.001
panLaw = -6 # -3 seems appropriate for headphones
time = 8e3
pan_shape = lambda x: np.log((x + panMax) /
(width)) # +0.1 to prevent log(0)
LdB = lambda x: (-panLaw / np.log(2)) * pan_shape(x)
RdB = lambda x: LdB(-x)
L = lambda t: LdB(width * t * 1000 / time + panMin)
R = lambda t: RdB(width * t * 1000 / time + panMin)
# =-===========
s = Sine(duration=10e3)[0:2]
s *= Gain(Curve(L, duration=time), Curve(R, duration=8e3))
audio = s.mixdown(sample_rate=11025, byte_width=2, max_amplitude=0.2)
#play_Audio(audio)
export_test(audio, pan_mono_test2)