def testEmpty(self):
gen = VectorInput([])
strRatio = sAfterMaxToBeforeMaxEnergyRatio()
p = Pool()
gen.data >> strRatio.pitch
strRatio.afterMaxToBeforeMaxEnergyRatio >> (p, 'lowlevel.amtbmer')
run(gen)
self.assertRaises(KeyError, lambda: p['lowlevel.amtbmer'])
def testEmpty(self):
gen = VectorInput([])
strRatio = sAfterMaxToBeforeMaxEnergyRatio()
p = Pool()
gen.data >> strRatio.pitch
strRatio.afterMaxToBeforeMaxEnergyRatio >> (p, 'lowlevel.amtbmer')
run(gen)
self.assertRaises(KeyError, lambda: p['lowlevel.amtbmer'])
def testRegression(self):
# this algorithm has a standard mode implementation which has been
# tested thru the unitests in python. Therefore it's only tested that
# for a certain input standard == streaming
pitch = readVector(join(filedir(), 'aftermaxtobeforemaxenergyratio', 'input.txt'))
p = Pool()
gen = VectorInput(pitch)
strRatio = sAfterMaxToBeforeMaxEnergyRatio()
gen.data >> strRatio.pitch
strRatio.afterMaxToBeforeMaxEnergyRatio >> (p, 'lowlevel.amtbmer')
run(gen)
stdResult = AfterMaxToBeforeMaxEnergyRatio()(pitch)
strResult = p['lowlevel.amtbmer']
self.assertAlmostEqual(strResult, stdResult, 5e-7)
def testRegression(self):
# this algorithm has a standard mode implementation which has been
# tested thru the unitests in python. Therefore it's only tested that
# for a certain input standard == streaming
pitch = readVector(
join(filedir(), 'aftermaxtobeforemaxenergyratio', 'input.txt'))
p = Pool()
gen = VectorInput(pitch)
strRatio = sAfterMaxToBeforeMaxEnergyRatio()
gen.data >> strRatio.pitch
strRatio.afterMaxToBeforeMaxEnergyRatio >> (p, 'lowlevel.amtbmer')
run(gen)
stdResult = AfterMaxToBeforeMaxEnergyRatio()(pitch)
strResult = p['lowlevel.amtbmer']
self.assertAlmostEqual(strResult, stdResult, 5e-7)
