def test_cmean(comm):
# this tests cmean (collective mean) along with resampling preseves it.
pm1 = ParticleMesh(BoxSize=8.0, Nmesh=[8, 8], comm=comm, dtype='f8')
pm2 = ParticleMesh(BoxSize=8.0, Nmesh=[4, 4], comm=comm, dtype='f8')
complex1 = ComplexField(pm1)
complex2 = ComplexField(pm2)
real2 = RealField(pm2)
real1 = RealField(pm1)
for i, kk, slab in zip(complex1.slabs.i, complex1.slabs.x, complex1.slabs):
slab[...] = sum([k**2 for k in kk])**0.5
complex1.c2r(real1)
real1.resample(real2)
assert_almost_equal(real1.cmean(), real2.cmean())
def test_cmean(comm):
# this tests cmean (collective mean) along with resampling preseves it.
pm1 = ParticleMesh(BoxSize=8.0, Nmesh=[8, 8], comm=comm, dtype='f8')
pm2 = ParticleMesh(BoxSize=8.0, Nmesh=[4, 4], comm=comm, dtype='f8')
complex1 = ComplexField(pm1)
complex2 = ComplexField(pm2)
real2 = RealField(pm2)
real1 = RealField(pm1)
for i, kk, slab in zip(complex1.slabs.i, complex1.slabs.x, complex1.slabs):
slab[...] = sum([k**2 for k in kk]) **0.5
complex1.c2r(real1)
real1.resample(real2)
assert_almost_equal(real1.cmean(), real2.cmean())
def test_fupsample(comm):
pm1 = ParticleMesh(BoxSize=8.0, Nmesh=[8, 8], comm=comm, dtype='f8')
pm2 = ParticleMesh(BoxSize=8.0, Nmesh=[4, 4], comm=comm, dtype='f8')
numpy.random.seed(3333)
truth = numpy.fft.rfftn(numpy.random.normal(size=(8, 8)))
complex1 = ComplexField(pm1)
for ind in numpy.ndindex(*complex1.cshape):
complex1.csetitem(ind, truth[ind])
if any(i == 4 for i in ind):
complex1.csetitem(ind, 0)
else:
complex1.csetitem(ind, truth[ind])
if any(i >= 2 and i < 7 for i in ind):
complex1.csetitem(ind, 0)
assert_almost_equal(complex1[...], complex1.c2r().r2c())
complex2 = ComplexField(pm2)
for ind in numpy.ndindex(*complex2.cshape):
newind = tuple([i if i <= 2 else 8 - (4 - i) for i in ind])
if any(i == 2 for i in ind):
complex2.csetitem(ind, 0)
else:
complex2.csetitem(ind, truth[newind])
tmpr = RealField(pm1)
tmp = ComplexField(pm1)
complex2.resample(tmp)
assert_almost_equal(complex1[...], tmp[...], decimal=5)
complex2.c2r().resample(tmp)
assert_almost_equal(complex1[...], tmp[...], decimal=5)
complex2.resample(tmpr)
assert_almost_equal(tmpr.r2c(), tmp[...])
complex2.c2r().resample(tmpr)
assert_almost_equal(tmpr.r2c(), tmp[...])
def test_fupsample(comm):
pm1 = ParticleMesh(BoxSize=8.0, Nmesh=[8, 8], comm=comm, dtype='f8')
pm2 = ParticleMesh(BoxSize=8.0, Nmesh=[4, 4], comm=comm, dtype='f8')
numpy.random.seed(3333)
truth = numpy.fft.rfftn(numpy.random.normal(size=(8, 8)))
complex1 = ComplexField(pm1)
for ind in numpy.ndindex(*complex1.cshape):
complex1.csetitem(ind, truth[ind])
if any(i == 4 for i in ind):
complex1.csetitem(ind, 0)
else:
complex1.csetitem(ind, truth[ind])
if any(i >= 2 and i < 7 for i in ind):
complex1.csetitem(ind, 0)
assert_almost_equal(complex1[...], complex1.c2r().r2c())
complex2 = ComplexField(pm2)
for ind in numpy.ndindex(*complex2.cshape):
newind = tuple([i if i <= 2 else 8 - (4 - i) for i in ind])
if any(i == 2 for i in ind):
complex2.csetitem(ind, 0)
else:
complex2.csetitem(ind, truth[newind])
tmpr = RealField(pm1)
tmp = ComplexField(pm1)
complex2.resample(tmp)
assert_almost_equal(complex1[...], tmp[...], decimal=5)
complex2.c2r().resample(tmp)
assert_almost_equal(complex1[...], tmp[...], decimal=5)
complex2.resample(tmpr)
assert_almost_equal(tmpr.r2c(), tmp[...])
complex2.c2r().resample(tmpr)
assert_almost_equal(tmpr.r2c(), tmp[...])
