def testEmpty(self):
gen = VectorInput([])
leq = sLeq()
p = Pool()
gen.data >> leq.signal
leq.leq >> (p, 'leq')
run(gen)
self.assertEqual(len(p.descriptorNames()), 0)
def testEmpty(self):
gen = VectorInput([])
leq = sLeq()
p = Pool()
gen.data >> leq.signal
leq.leq >> (p, 'leq')
run(gen)
self.assertEqual(len(p.descriptorNames()), 0)
def testRegression(self):
input = [1. / (i+1) * sin(2*pi*440*i/44100) for i in range(22050)]
input += [0]*22050
gen = VectorInput(input)
leq = sLeq()
p = Pool()
gen.data >> leq.signal
leq.leq >> (p, 'leq')
run(gen)
self.assertAlmostEqual(p['leq'], Leq()(input), 5e-5)
def testRegression(self):
input = [
1. / (i + 1) * sin(2 * pi * 440 * i / 44100) for i in range(22050)
]
input += [0] * 22050
gen = VectorInput(input)
leq = sLeq()
p = Pool()
gen.data >> leq.signal
leq.leq >> (p, 'leq')
run(gen)
self.assertAlmostEqual(p['leq'], Leq()(input), 5e-5)