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Python

5 years ago
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_equal, assert_allclose, assert_
from scipy.sparse.linalg.isolve import minres
import pytest
from pytest import raises as assert_raises
from .test_iterative import assert_normclose
def get_sample_problem():
# A random 10 x 10 symmetric matrix
np.random.seed(1234)
matrix = np.random.rand(10, 10)
matrix = matrix + matrix.T
# A random vector of length 10
vector = np.random.rand(10)
return matrix, vector
def test_singular():
A, b = get_sample_problem()
A[0, ] = 0
b[0] = 0
xp, info = minres(A, b)
assert_equal(info, 0)
assert_normclose(A.dot(xp), b, tol=1e-5)
@pytest.mark.skip(reason="Skip Until gh #6843 is fixed")
def test_gh_6843():
"""check if x0 is being used by tracing iterates"""
A, b = get_sample_problem()
# Random x0 to feed minres
np.random.seed(12345)
x0 = np.random.rand(10)
trace = []
def trace_iterates(xk):
trace.append(xk)
minres(A, b, x0=x0, callback=trace_iterates)
trace_with_x0 = trace
trace = []
minres(A, b, callback=trace_iterates)
assert_(not np.array_equal(trace_with_x0[0], trace[0]))
def test_shift():
A, b = get_sample_problem()
shift = 0.5
shifted_A = A - shift * np.eye(10)
x1, info1 = minres(A, b, shift=shift)
x2, info2 = minres(shifted_A, b)
assert_equal(info1, 0)
assert_allclose(x1, x2, rtol=1e-5)
def test_asymmetric_fail():
"""Asymmetric matrix should raise `ValueError` when check=True"""
A, b = get_sample_problem()
A[1, 2] = 1
A[2, 1] = 2
with assert_raises(ValueError):
xp, info = minres(A, b, check=True)