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test_filter.f90
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test_filter.f90
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program test
use libflit
call mpistart
if (nrank == 1) then
block
real, allocatable, dimension(:) :: w, v
integer :: n1
n1 = 301
print *, ' 1D '
w = random(n1, dist='normal')
w = w - mean(w)
w = w/std(w)
w = w/maxval(w)
call output_array(w, 'w.bin')
v = gauss_filt(w, 5.0)
call output_array(v, 'w.bin', append=.true.)
v = laplace_filt(w)
call output_array(v, 'w.bin', append=.true.)
v = median_filt(w, 5)
call output_array(v, 'w.bin', append=.true.)
v = mean_filt(w, 2)
call output_array(v, 'w.bin', append=.true.)
v = lowess_filt(regspace(0.0, 1.0, n1 - 1.0), w, regspace(0.0, 1.0, n1 - 1.0), window=0.25, order=2)
call output_array(v, 'w.bin', append=.true.)
v = fourier_filt(w, dt=0.001, freqs=[0.0, 5.0, 30.0, 40.0], amps=[0.0, 1.0, 1.0, 0.0])
call output_array(v, 'w.bin', append=.true.)
v = tv_filt(w, mu=1.0, niter=100)
call output_array(v, 'w.bin', append=.true.)
v = balance_filt(w, 5)
call output_array(v, 'w.bin', append=.true.)
end block
block
real, allocatable, dimension(:, :) :: w, v
integer :: n1, n2
type(andf_param) :: p
n1 = 201
n2 = 101
print *, ' 2D '
w = random(n1, n2, dist='normal')
w = w - mean(w)
w = w/std(w)
w = w/maxval(w)
call output_array(w, 'w2.bin')
v = gauss_filt(w, [5.0, 2.0])
call output_array(v, 'w2.bin', append=.true.)
v = laplace_filt(w)
call output_array(v, 'w2.bin', append=.true.)
v = median_filt(w, [5, 4])
call output_array(v, 'w2.bin', append=.true.)
v = mean_filt(w, [5, 7])
call output_array(v, 'w2.bin', append=.true.)
! ! slow
! v = reshape(lowess_filt(meshgrid([n1, n2], [1.0, 1.0], [0.0, 0.0], dim=1), &
! meshgrid([n1, n2], [1.0, 1.0], [0.0, 0.0], dim=2), &
! flatten(w), &
! meshgrid([n1, n2], [1.0, 1.0], [0.0, 0.0], dim=1), &
! meshgrid([n1, n2], [1.0, 1.0], [0.0, 0.0], dim=2), &
! window=[0.25, 0.25], order=2), [n1, n2])
! call output_array(v, 'w2.bin', append=.true.)
v = fourier_filt(w, d1=0.001, freqs1=[0.0, 5.0, 30.0, 40.0], amps1=[0.0, 1.0, 1.0, 0.0], &
d2=0.001, freqs2=[0.0, 5.0, 30.0, 40.0], amps2=[0.0, 1.0, 1.0, 0.0])
call output_array(v, 'w2.bin', append=.true.)
v = tv_filt(w, mu=1.0, niter=100)
call output_array(v, 'w2.bin', append=.true.)
v = tgpv_filt(w, mu=1.0, alpha0=1.0, alpha1=0.5, p=0.5, niter=100)
call output_array(v, 'w2.bin', append=.true.)
v = balance_filt(w, [5, 5])
call output_array(v, 'w2.bin', append=.true.)
p%smooth1 = 7
p%smooth2 = 2
p%sigma = 5
p%niter = 10
v = andf_filt(w, p)
call output_array(v, 'w2.bin', append=.true.)
end block
block
real, allocatable, dimension(:, :, :) :: w, v
integer :: n1, n2
type(andf_param) :: p
n1 = 201
n2 = 101
n3 = 51
print *, ' 3D '
w = random(n1, n2, n3, dist='normal')
w = w - mean(w)
w = w/std(w)
w = w/maxval(w)
call output_array(w, 'w3.bin')
v = gauss_filt(w, [5.0, 2.0, 3.0])
call output_array(v, 'w3.bin', append=.true.)
v = laplace_filt(w)
call output_array(v, 'w3.bin', append=.true.)
v = median_filt(w, [5, 4, 2])
call output_array(v, 'w3.bin', append=.true.)
v = mean_filt(w, [5, 7, 2])
call output_array(v, 'w3.bin', append=.true.)
v = fourier_filt(w, d1=0.001, freqs1=[0.0, 5.0, 30.0, 40.0], amps1=[0.0, 1.0, 1.0, 0.0], &
d2=0.001, freqs2=[0.0, 5.0, 30.0, 40.0], amps2=[0.0, 1.0, 1.0, 0.0], &
d3=0.001, freqs3=[0.0, 5.0, 30.0, 40.0], amps3=[0.0, 1.0, 1.0, 0.0])
call output_array(v, 'w3.bin', append=.true.)
v = tv_filt(w, mu=10.0, niter=100)
call output_array(v, 'w3.bin', append=.true.)
v = balance_filt(w, [5, 5, 5])
call output_array(v, 'w3.bin', append=.true.)
p%smooth1 = 7
p%smooth2 = 2
p%smooth3 = 2
p%sigma = 5
p%niter = 10
v = andf_filt(w, p)
call output_array(v, 'w3.bin', append=.true.)
end block
else
block
real, allocatable, dimension(:, :, :) :: w, v
integer :: n1, n2
type(andf_param) :: p
n1 = 201
n2 = 101
n3 = 51
print *, ' 3D '
w = zeros(n1, n2, n3)
if (rankid == 0) then
w = random(n1, n2, n3, dist='normal')
w = w - mean(w)
w = w/std(w)
w = median_filt(w)
w = w/maxval(w)
end if
call mpibarrier
call bcast_array(w)
call getpar_int('rank1', rank1, 4)
call getpar_int('rank2', rank2, 3)
call getpar_int('rank3', rank3, 2)
v = tgpv_filt_mpi(w, mu=10.0, alpha0=1.0, alpha1=0.5, p=1.0, niter=100)
if (rankid == 0) then
call output_array(v, 'w3.bin', append=.true.)
end if
p%smooth1 = 7
p%smooth2 = 2
p%smooth3 = 2
p%sigma = 5
p%niter = 10
v = andf_filt_mpi(w, p)
if (rankid == 0) then
call output_array(v, 'w3.bin', append=.true.)
end if
end block
end if
call mpibarrier
call mpiend
end program test