def test_bootstrap_list(self):
bs_list = TestBootstrap.generate_test_bootstrap_list()
bs_list.getData(0)
# segmentation fault?
#bs_list.getThres(0.95, 0)
bs_list.getThres_byPos(0,0)
bs_list.getNblocks()
bs_list.getCut(0)
bs_list.getAcc_t(0)
bs_list.getAcc_s(0)
bs_list.getBias_t(0)
bs_list.getBias_s(0)
bs_list.getRpd(0)
# should this not throw a BadIndexError
bs_list.percRpd(0)
bs_list.getRkd(0)
# should this not thow a BadIndexError?
bs_list.percRkd(0)
bs_list.setBCa_t(0, 0.1, 0.1)
bs_list.setBCa_s(0, 0.1, 0.1)
bs_list.setData(0, sfr.vector_int([24, 32, 40,48, 50,48]))
bs_list.setThres(0.5, 0, 0)
bs_list.setRpd(0, 0.5)
bs_list.setRkd(0, 0.5)
def test_bootstrap_list(self):
bs_list = TestBootstrap.generate_test_bootstrap_list()
bs_list.getData(0)
# segmentation fault?
#bs_list.getThres(0.95, 0)
bs_list.getThres_byPos(0,0)
bs_list.getNblocks()
bs_list.getCut(0)
bs_list.getAcc_t(0)
bs_list.getAcc_s(0)
bs_list.getBias_t(0)
bs_list.getBias_s(0)
bs_list.getRpd(0)
# should this not throw a BadIndexError
bs_list.percRpd(0)
bs_list.getRkd(0)
# should this not thow a BadIndexError?
bs_list.percRkd(0)
bs_list.setBCa_t(0, 0.1, 0.1)
bs_list.setBCa_s(0, 0.1, 0.1)
bs_list.setData(0, sfr.vector_int([24, 32, 40,48, 50,48]))
bs_list.setThres(0.5, 0, 0)
bs_list.setRpd(0, 0.5)
bs_list.setRkd(0, 0.5)
def test_data(self):
data = TestData.generate_test_dataset()
data.setNcorrect(sfr.vector_int([24, 32, 40,48, 50,48]))
data.getIntensities()
data.getNtrials()
data.getNcorrect()
data.getPcorrect()
blocks = data.getNblocks()
for i in range(blocks):
data.getIntensity(i)
data.getNtrials(i)
data.getNcorrect(i)
data.getPcorrect(i)
data.getNoverK(i)
data.getNalternatives()
data.nonasymptotic()
def test_data(self):
data = TestData.generate_test_dataset()
data.setNcorrect(sfr.vector_int([24, 32, 40,48, 50,48]))
data.getIntensities()
data.getNtrials()
data.getNcorrect()
data.getPcorrect()
blocks = data.getNblocks()
for i in range(blocks):
data.getIntensity(i)
data.getNtrials(i)
data.getNcorrect(i)
data.getPcorrect(i)
data.getNoverK(i)
data.getNalternatives()
data.nonasymptotic()
def generate_test_dataset():
x = sfr.vector_double([0.,2.,4.,6., 8., 10.])
k = sfr.vector_int([24, 32, 40,48, 50,48])
n = sfr.vector_int(6*[50])
return sfr.PsiData(x, n, k, 2)
def generate_test_dataset():
x = sfr.vector_double([0.,2.,4.,6., 8., 10.])
k = sfr.vector_int([24, 32, 40,48, 50,48])
n = sfr.vector_int(6*[50])
return sfr.PsiData(x, n, k, 2)