def test_make_dataset(self):
dataset = sfu.make_dataset(data, 1)
self.assertTrue(
(np.array(x) == np.array(dataset.getIntensities())).all())
self.assertTrue((np.array(k) == np.array(dataset.getNcorrect())).all())
self.assertTrue((np.array(n) == np.array(dataset.getNtrials())).all())
self.assertEqual(1, dataset.getNalternatives())
def test_get_core(self):
sigmoid = sfr.PsiLogistic()
dataset = sfu.make_dataset(data, 1)
ab = sfu.get_core("ab", dataset, sigmoid)
self.assertEqual("abCore", ab.__class__.__name__)
mw = sfu.get_core("mw", dataset, sigmoid)
self.assertEqual("mwCore", mw.__class__.__name__)
self.assertEqual(0.1, mw.getAlpha())
mw = sfu.get_core("mw0.2", dataset, sigmoid)
self.assertEqual("mwCore", mw.__class__.__name__)
self.assertEqual(0.2, mw.getAlpha())
linear = sfu.get_core("linear", dataset, sigmoid)
self.assertEqual("linearCore", linear.__class__.__name__)
log = sfu.get_core("log", dataset, sigmoid)
self.assertEqual("logCore", log.__class__.__name__)
weibull = sfu.get_core("weibull", dataset, sigmoid)
self.assertEqual("weibullCore", weibull.__class__.__name__)
poly = sfu.get_core("poly", dataset, sigmoid)
self.assertEqual("polyCore", poly.__class__.__name__)
def test_get_core(self):
sigmoid = sfr.PsiLogistic()
dataset = sfu.make_dataset(data, 1)
ab = sfu.get_core("ab", dataset, sigmoid)
self.assertEqual("abCore", ab.__class__.__name__)
mw = sfu.get_core("mw", dataset, sigmoid)
self.assertEqual("mwCore", mw.__class__.__name__)
self.assertEqual(0.1, mw.getAlpha())
mw = sfu.get_core("mw0.2", dataset, sigmoid)
self.assertEqual("mwCore", mw.__class__.__name__)
self.assertEqual(0.2, mw.getAlpha())
linear = sfu.get_core("linear", dataset, sigmoid)
self.assertEqual("linearCore", linear.__class__.__name__)
log = sfu.get_core("log", dataset, sigmoid)
self.assertEqual("logCore", log.__class__.__name__)
weibull = sfu.get_core("weibull", dataset, sigmoid)
self.assertEqual("weibullCore", weibull.__class__.__name__)
poly = sfu.get_core("poly", dataset, sigmoid)
self.assertEqual("polyCore", poly.__class__.__name__)
def test_make_dataset(self):
dataset = sfu.make_dataset(data, 1)
self.assertTrue((np.array(x) == np.array(dataset.getIntensities())).all())
self.assertTrue((np.array(k) == np.array(dataset.getNcorrect())).all())
self.assertTrue((np.array(n) == np.array(dataset.getNtrials())).all())
self.assertEqual(1, dataset.getNalternatives())
