def test_hyperbola_yint():
concentrations = np.array([0, 10, 90])
delta_y = 1.0
kd = 10.0
a, b, c = hyperbola(concentrations, 0.0, delta_y, kd)
d, e, f = hyperbola(concentrations, 3.8, delta_y, kd)
for first, second in ((a, d), (b, e), (c, f)):
assert second - first == pytest.approx(3.8)
def test_kd():
yint = 0.0
delta_y = 1.0
kd = 100.0
for i in np.linspace(0.0, 10000000000000.0, num=1000):
concentrations = np.array([0.0, 10.0, i])
a, b, c = hyperbola(concentrations, yint, delta_y, kd)
assert c < 1
def test_hyperbola():
concentrations = np.array([0, 10, 90])
yint = 0.0
delta_y = 1.0
kd = 10.0
first, second, third = hyperbola(concentrations, yint, delta_y, kd)
assert first == 0.0
assert second == 0.5
assert third == 0.9
def test_limit():
yint = 0.0
delta_y = 1.0
kd = 0.0000001
for i in np.linspace(20.0, 10000000000000.0, num=1000):
concentrations = np.array([0.0, 10.0, i])
a, b, c = hyperbola(concentrations, yint, delta_y, kd)
assert c < i
assert c == pytest.approx(1.0)
def test_delta_y():
concentrations = np.array([1.0, 10.0, 90.0])
yint = 0.0
kd = 0.0
for delta_y in (-30, -2.0, -1.0, 0.0, 10.0, 50.0, 1000.0, 10000000.0):
a, b, c = hyperbola(concentrations, yint, delta_y, kd)
assert a == delta_y
assert b == delta_y
assert c == delta_y