def test_logyxlinear(self):
yy = [x * .5 for x in self.x]
log_yy = [-log(y) / x for x, y in zip(self.x, yy)]
lin = linear(self.x, log_yy)
loglin = loglinearrate(self.x, yy)
for w in [0.25]:
for x in self.s:
x = 0.01 + x * w
self.assertAlmostEqual(loglin(x), exp(-lin(x) * x))
def test_update(self):
f = linear(self.x, self.y)
for s in self.s:
if s in self.x:
self.assertTrue(s in f)
else:
self.assertFalse(s in f)
y = [f(s) for s in reversed(self.s)]
ff = no()
ff._update(self.s, y)
for s in self.s:
self.assertTrue(s in ff)
for s, e in zip(ff.x_list[:1], ff.x_list[1:]):
self.assertTrue(s < e)
for s in self.s:
self.assertTrue(s in ff)
ff._update([s])
self.assertFalse(s in ff)
def test_linear(self):
f = linear(self.x, self.y)
for x in [0.] + self.x:
for s in self.s:
self.assertAlmostEqual(f(x + s), self.a + self.b * (x + s))