mirror of
https://github.com/fjosw/pyerrors.git
synced 2025-03-15 14:50:25 +01:00
54 lines
1.2 KiB
Python
54 lines
1.2 KiB
Python
import numpy as np
|
|
import pyerrors as pe
|
|
import pytest
|
|
|
|
np.random.seed(0)
|
|
|
|
|
|
def test_root_linear():
|
|
|
|
def root_function(x, d):
|
|
return x - d
|
|
|
|
value = np.random.normal(0, 100)
|
|
my_obs = pe.pseudo_Obs(value, 0.1, 't')
|
|
my_root = pe.roots.find_root(my_obs, root_function)
|
|
|
|
assert np.isclose(my_root.value, value)
|
|
assert np.isclose(my_root.value, my_root.r_values['t'])
|
|
difference = my_obs - my_root
|
|
assert difference.is_zero()
|
|
|
|
|
|
def test_root_linear_idl():
|
|
|
|
def root_function(x, d):
|
|
return x - d
|
|
|
|
my_obs = pe.Obs([np.random.rand(50)], ['t'], idl=[range(20, 120, 2)])
|
|
my_root = pe.roots.find_root(my_obs, root_function)
|
|
|
|
difference = my_obs - my_root
|
|
assert difference.is_zero()
|
|
|
|
|
|
def test_root_no_autograd():
|
|
|
|
def root_function(x, d):
|
|
return x - np.log(np.exp(d))
|
|
|
|
value = np.random.normal(0, 100)
|
|
my_obs = pe.pseudo_Obs(value, 0.1, 't')
|
|
|
|
with pytest.raises(Exception):
|
|
my_root = pe.roots.find_root(my_obs, root_function)
|
|
|
|
|
|
def test_root_multi_parameter():
|
|
o1 = pe.pseudo_Obs(1.1, 0.1, "test")
|
|
o2 = pe.pseudo_Obs(1.3, 0.12, "test")
|
|
|
|
f2 = lambda x, d: d[0] + d[1] * x
|
|
|
|
assert f2(-o1 / o2, [o1, o2]) == 0
|
|
assert pe.find_root([o1, o2], f2) == -o1 / o2
|