def testOneValue(self):
gen = VectorInput([1.0])
strongDecay = sStrongDecay()
p = Pool()
gen.data >> strongDecay.signal
strongDecay.strongDecay >> (p, 'strongDecay')
self.assertRaises(EssentiaException, lambda: run(gen))
def testOneValue(self):
gen = VectorInput([1.0])
strongDecay = sStrongDecay()
p = Pool()
gen.data >> strongDecay.signal
strongDecay.strongDecay >> (p, 'strongDecay')
self.assertRaises(EssentiaException, lambda: run(gen))
def testEmpty(self):
gen = VectorInput([])
strongDecay = sStrongDecay()
p = Pool()
gen.data >> strongDecay.signal
strongDecay.strongDecay >> (p, 'strongDecay')
run(gen)
self.assertEqual(len(p.descriptorNames()), 0)
def testEmpty(self):
gen = VectorInput([])
strongDecay = sStrongDecay()
p = Pool()
gen.data >> strongDecay.signal
strongDecay.strongDecay >> (p, 'strongDecay')
run(gen)
self.assertEqual(len(p.descriptorNames()), 0)
def testRegression(self):
# borrowing lpc's input vector for this regression test
input = readVector(join(filedir(), 'lpc', 'input.txt'))
gen = VectorInput(input)
strongDecay = sStrongDecay()
p = Pool()
gen.data >> strongDecay.signal
strongDecay.strongDecay >> (p, 'strongDecay')
run(gen)
self.assertAlmostEqual(p['strongDecay'], StrongDecay()(input), 1e-6)
def testRegression(self):
# borrowing lpc's input vector for this regression test
input = readVector(join(filedir(), 'lpc', 'input.txt'))
gen = VectorInput(input)
strongDecay = sStrongDecay()
p = Pool()
gen.data >> strongDecay.signal
strongDecay.strongDecay >> (p, 'strongDecay')
run(gen)
self.assertAlmostEqual(p['strongDecay'], StrongDecay()(input), 1e-6)