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test_simulateDSM.py
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test_simulateDSM.py
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# -*- coding: utf-8 -*-
# test_simulateDSM.py
# This module provides the tests for the simulateDSM function.
# Copyright 2014 Giuseppe Venturini
# This file is part of python-deltasigma.
#
# python-deltasigma is a 1:1 Python replacement of Richard Schreier's
# MATLAB delta sigma toolbox (aka "delsigma"), upon which it is heavily based.
# The delta sigma toolbox is (c) 2009, Richard Schreier.
#
# python-deltasigma is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# LICENSE file for the licensing terms.
"""This module provides the test class for the simulateDSM() function.
"""
import unittest
import pkg_resources
import numpy as np
import deltasigma as ds
import scipy.io
from deltasigma import synthesizeNTF, realizeNTF, stuffABCD, cplxpair
class TestSimulateDSM(unittest.TestCase):
"""Test class for simulateDSM()"""
def setUp(self):
fname = pkg_resources.resource_filename(__name__,
"test_data/test_simulateDSM.mat")
self.v_ref = scipy.io.loadmat(fname)['v']
self.xn_ref = scipy.io.loadmat(fname)['xn']
self.xmax_ref = scipy.io.loadmat(fname)['xmax']
self.y_ref = scipy.io.loadmat(fname)['y']
self.u_ref = scipy.io.loadmat(fname)['u']
self.ABCD_ref = scipy.io.loadmat(fname)['ABCD']
self.zeros = cplxpair(scipy.io.loadmat(fname)['zeros'])
self.poles = cplxpair(scipy.io.loadmat(fname)['poles'])
self.v_ref = self.v_ref.reshape(-1)
self.y_ref = self.y_ref.reshape(-1)
OSR = 32
self.H = synthesizeNTF(5, OSR, 10)
N = 8192
f = 85
self.u = 0.5*np.sin(2*np.pi*f/N*np.arange(N))
a, g, b, c = realizeNTF(self.H, 'CRFB')
self.ABCD = stuffABCD(a, g, b, c, form='CRFB')
def test_precheck(self):
"""Test function for simulateDSM_* preliminary 1/1"""
from deltasigma._utils import _get_zpk
zeros, poles, _ = _get_zpk(self.H)
assert np.allclose(cplxpair(zeros), self.zeros, atol=1e-6, rtol=1e-4)
assert np.allclose(cplxpair(poles), self.poles, atol=1e-6, rtol=1e-4)
assert np.allclose(self.ABCD, self.ABCD_ref, atol=1e-5, rtol=1e-3)
assert np.allclose(self.u, self.u_ref, atol=1e-5, rtol=1e-3)
def test_simulateDSM_cblas(self):
"""Test function for simulateDSM_cblas()"""
# skip if not available
try:
from nose.plugins.skip import SkipTest
except ImportError:
SkipTest = None
if ds._simulateDSM._simulateDSM_cblas is None:
if SkipTest is not None:
raise SkipTest
return
v, _, _, y = ds._simulateDSM._simulateDSM_cblas(self.u, self.H, nlev=10,
x0=0.0, store_xn=True,
store_xmax=True,
store_y=True)
v = v.reshape(-1)
y = y.reshape(-1)
self.assertTrue(np.allclose(v[:1200], self.v_ref[:1200], atol=1e-6,
rtol=1e-4))
self.assertTrue(np.allclose(y[:1200], self.y_ref[:1200], atol=1e-1,
rtol=1e-2))
v, xn, xmax, y = ds._simulateDSM._simulateDSM_cblas(self.u, self.ABCD,
nlev=10, x0=0, store_xn=True,
store_xmax=True, store_y=True)
v = v.reshape(-1)
y = y.reshape(-1)
self.assertTrue(np.allclose(v[:1200], self.v_ref[:1200], atol=1e-6,
rtol=1e-4))
self.assertTrue(np.allclose(y[:1200], self.y_ref[:1200], atol=1e-1,
rtol=1e-3))
self.assertTrue(np.allclose(xmax, self.xmax_ref, atol=1e-1, rtol=1e-1))
self.assertTrue(np.allclose(xn[:, :1200], self.xn_ref[:, :1200],
atol=1e-1, rtol=1e-3))
def test_simulateDSM_scipy_blas(self):
"""Test function for simulateDSM_scipy_blas()"""
# skip if not available
try:
from nose.plugins.skip import SkipTest
except ImportError:
SkipTest = None
if ds._simulateDSM._simulateDSM_scipy_blas is None:
if SkipTest is not None:
raise SkipTest
return
v, xn, xmax, y = ds._simulateDSM._simulateDSM_scipy_blas(self.u, self.H,
nlev=10, x0=0., store_xn=True,
store_xmax=True, store_y=True)
v = v.reshape(-1)
y = y.reshape(-1)
self.assertTrue(np.allclose(v[:1200], self.v_ref[:1200], atol=1e-6,
rtol=1e-4))
self.assertTrue(np.allclose(y[:1200], self.y_ref[:1200], atol=1e-1,
rtol=1e-2))
v, xn, xmax, y = ds._simulateDSM._simulateDSM_scipy_blas(self.u,
self.ABCD, nlev=10, x0=0, store_xn=True,
store_xmax=True, store_y=True)
v = v.reshape(-1)
y = y.reshape(-1)
self.assertTrue(np.allclose(v[:1200], self.v_ref[:1200], atol=1e-6,
rtol=1e-4))
self.assertTrue(np.allclose(y[:1200], self.y_ref[:1200], atol=1e-1,
rtol=1e-3))
self.assertTrue(np.allclose(xmax, self.xmax_ref, atol=1e-1, rtol=1e-1))
self.assertTrue(np.allclose(xn[:, :1200], self.xn_ref[:, :1200],
atol=1e-1, rtol=1e-3))
def test_simulateDSM_python(self):
"""Test function for simulateDSM_python()"""
v, xn, xmax, y = ds._simulateDSM._simulateDSM_python(self.u, self.H,
nlev=10., x0=0.)
v = v.reshape(-1)
y = y.reshape(-1)
self.assertTrue(np.allclose(v[:1200], self.v_ref[:1200], atol=1e-6,
rtol=1e-4))
self.assertTrue(np.allclose(y[:1200], self.y_ref[:1200], atol=1e-1,
rtol=1e-2))
v, xn, xmax, y = ds._simulateDSM._simulateDSM_python(self.u, self.ABCD,
nlev=10, x0=0.)
v = v.reshape(-1)
y = y.reshape(-1)
self.assertTrue(np.allclose(v[:1200], self.v_ref[:1200], atol=1e-6,
rtol=1e-4))
self.assertTrue(np.allclose(y[:1200], self.y_ref[:1200], atol=1e-1,
rtol=1e-3))
self.assertTrue(np.allclose(xmax, self.xmax_ref, atol=1e-1, rtol=1e-1))
self.assertTrue(np.allclose(xn[:, :1200], self.xn_ref[:, :1200],
atol=1e-1, rtol=1e-3))
def test_simulateDSM_scipy_cblas(self):
"""Test function for scipy vs cblas"""
# skip if not available
try:
from nose.plugins.skip import SkipTest
except ImportError:
SkipTest = None
if ds._simulateDSM._simulateDSM_scipy_blas is None or \
ds._simulateDSM._simulateDSM_cblas is None:
if SkipTest is not None:
raise SkipTest
return
vb, _, _, yb = ds._simulateDSM._simulateDSM_scipy_blas(self.u,
self.H, nlev=10, x0=0.,
store_xn=True, store_xmax=True,
store_y=True)
vc, _, _, yc = ds._simulateDSM._simulateDSM_cblas(self.u, self.H,
nlev=10, x0=0., store_xn=True,
store_xmax=True, store_y=True)
self.assertTrue(np.allclose(vb, vc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(yb, yc, atol=1e-6, rtol=1e-4))
vb, xnb, xmaxb, yb = ds._simulateDSM._simulateDSM_scipy_blas(self.u,
self.ABCD, nlev=10, x0=0., store_xn=True,
store_xmax=True, store_y=True)
vc, xnc, xmaxc, yc = ds._simulateDSM._simulateDSM_cblas(self.u,
self.ABCD, nlev=10, x0=0., store_xn=True,
store_xmax=True, store_y=True)
self.assertTrue(np.allclose(vb, vc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(xnb, xnc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(xmaxb, xmaxc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(yb, yc, atol=1e-6, rtol=1e-4))
def test_simulateDSM_python_scipy(self):
"""Test function for Python vs scipy"""
# skip if not available
try:
from nose.plugins.skip import SkipTest
except ImportError:
SkipTest = None
if ds._simulateDSM._simulateDSM_scipy_blas is None:
if SkipTest is not None:
raise SkipTest
return
vb, _, _, yb = ds._simulateDSM._simulateDSM_scipy_blas(self.u,
self.H, nlev=10, x0=0.,
store_xn=True, store_xmax=True,
store_y=True)
vc, _, _, yc = ds._simulateDSM._simulateDSM_python(self.u, self.H,
nlev=10, x0=0.)
self.assertTrue(np.allclose(vb, vc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(yb, yc, atol=1e-6, rtol=1e-4))
vb, xnb, xmaxb, yb = ds._simulateDSM._simulateDSM_scipy_blas(self.u,
self.ABCD, nlev=10, x0=0., store_xn=True,
store_xmax=True, store_y=True)
vc, xnc, xmaxc, yc = ds._simulateDSM._simulateDSM_python(self.u,
self.ABCD, nlev=10, x0=0.)
self.assertTrue(np.allclose(vb, vc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(xnb, xnc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(xmaxb, xmaxc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(yb, yc, atol=1e-6, rtol=1e-4))
def test_simulateDSM_python_cblas(self):
"""Test function for Python vs cblas"""
# skip if not available
try:
from nose.plugins.skip import SkipTest
except ImportError:
SkipTest = None
if ds._simulateDSM._simulateDSM_cblas is None:
if SkipTest is not None:
raise SkipTest
return
vb, _, _, yb = ds._simulateDSM._simulateDSM_cblas(self.u,
self.H, nlev=10, x0=0.,
store_xn=True, store_xmax=True,
store_y=True)
vc, _, _, yc = ds._simulateDSM._simulateDSM_python(self.u, self.H,
nlev=10, x0=0.)
self.assertTrue(np.allclose(vb, vc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(yb, yc, atol=1e-6, rtol=1e-4))
vb, xnb, xmaxb, yb = ds._simulateDSM._simulateDSM_cblas(self.u,
self.ABCD, nlev=10, x0=0., store_xn=True,
store_xmax=True, store_y=True)
vc, xnc, xmaxc, yc = ds._simulateDSM._simulateDSM_python(self.u,
self.ABCD, nlev=10, x0=0.)
self.assertTrue(np.allclose(vb, vc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(xnb, xnc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(xmaxb, xmaxc, atol=1e-6, rtol=1e-4))
self.assertTrue(np.allclose(yb, yc, atol=1e-6, rtol=1e-4))