def test_Lagrange2(self):
t = [-2, 0, 1]
y = [-27, -1, 0]
interp = Interpolation(t, y)
exp_coeff = [-27, -1, 0]
act_coeff = interp.interpLagrange(t, y)
print(act_coeff)
for i in range(0, len(act_coeff)):
a = exp_coeff[i] - act_coeff[i]
b = exp_coeff[i]
assert (div(a, b) <= ADMISS_REL_ERR)
def test_Lagrange1(self):
t = [0, 1, 2]
y = [0, 1, 2]
interp = Interpolation(t, y)
exp_coeff = [0, 1, 2]
act_coeff = interp.interpLagrange(t, y)
for i in range(0, len(act_coeff)):
a = exp_coeff[i] - act_coeff[i]
b = exp_coeff[i]
assert (div(a, b) <= ADMISS_REL_ERR)
def test_evalLagrange1(self):
t = [0, 1, 2]
y = [0, 1, 2]
interp = Interpolation(t, y)
exp_coeff = interpolate.lagrange(t, y)
act_coeff = np.flip(interp.interpLagrange(t, y))
# evaluating python object
yfit_P = exp_coeff(t)
# evaluating CFS
yfit = interp.evalLagrange(y, t, t)
for i in range(0, len(yfit_P)):
a = yfit[i] - yfit_P[i]
b = yfit[i]
assert (div(a, b) <= ADMISS_REL_ERR)