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""" Unit tests for nonnegative least squares
Author: Uwe Schmitt
Sep 2008
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_
from pytest import raises as assert_raises
from scipy.optimize import nnls
from numpy import arange, dot
from numpy.linalg import norm
class TestNNLS(object):
def test_nnls(self):
a = arange(25.0).reshape(-1,5)
x = arange(5.0)
y = dot(a,x)
x, res = nnls(a,y)
assert_(res < 1e-7)
assert_(norm(dot(a,x)-y) < 1e-7)
def test_maxiter(self):
# test that maxiter argument does stop iterations
# NB: did not manage to find a test case where the default value
# of maxiter is not sufficient, so use a too-small value
rndm = np.random.RandomState(1234)
a = rndm.uniform(size=(100, 100))
b = rndm.uniform(size=100)
with assert_raises(RuntimeError):
nnls(a, b, maxiter=1)
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