def test_bunquantize(self):
"""Test function for bunquantize() 1/3"""
yr = ds.bquantize(self.x)
yv = []
y = []
for yi in yr:
y += [yi.csd]
yv += [yi.val]
yv = np.asarray(yv)
xres = ds.bunquantize(y)
self.assertTrue(np.allclose(xres, yv, atol=1e-8, rtol=1e-5))
def test_bunquantize(self):
"""Test function for bunquantize() 1/3"""
yr = ds.bquantize(self.x)
yv = []
y = []
for yi in yr:
y += [yi.csd]
yv += [yi.val]
yv = np.asarray(yv)
xres = ds.bunquantize(y)
self.assertTrue(np.allclose(xres, yv, atol=1e-8, rtol=1e-5))
def test_bquantize(self):
"""Test function for bquantize()
"""
x = np.linspace(-10, 10, 101)
y = ds.bquantize(x)
yval = [yi.val for yi in y]
ycsd = [yi.csd for yi in y]
fname = pkg_resources.resource_filename(__name__, "test_data/test_bquantize.mat")
s = scipy.io.loadmat(fname)['s']
mval = []
mcsd = []
for i in range(s.shape[1]):
mval.append(float(s[0, i][0]))
mcsd.append(s[0, i][1])
for i in range(len(mval)):
self.assertTrue(np.allclose(mval[i], yval[i], atol=1e-8, rtol=1e-5))
self.assertTrue(np.prod(mcsd[i].shape) + np.prod(ycsd[i].shape) == 0 or \
mcsd[i].shape == ycsd[i].shape)
if 0 not in ycsd[i].shape:
self.assertTrue(np.allclose(mcsd[i], ycsd[i], atol=1e-8, rtol=1e-5))
