func loadloop() {
for _, fname := range flag.Args() {
log.Println("loading", fname)
cachedData, cachedMeta = oommf.MustReadFile(fname) // TODO: preprocess here
inpipe <- inp{cachedData, cachedMeta}
}
close(inpipe)
}
func mainSpatial() {
// time points
Nt := flag.NArg()
if Nt < 2 {
log.Fatal("need at least 2 inputs")
}
go loadloop()
// select one component
comp := 0 // todo
// get size, time span from first and last file
data1, meta1 := oommf.MustReadFile(flag.Args()[0])
_, metaL := oommf.MustReadFile(flag.Args()[Nt-1])
t0 := float32(meta1.Time)
t1 := float32(metaL.Time)
deltaT := t1 - t0
deltaF := 1 / deltaT // frequency resolution
size := data1.Size()
Nx := size[0]
Ny := size[1]
Nz := size[2]
// allocate buffer for everything
dataList := make([]complex64, Nt*Nx*Ny*Nz)
dataLists := matrix.ReshapeC2(dataList, [2]int{Nt, Nz * Ny * Nx})
// interpolate non-equidistant time points
// make complex in the meanwhile
time0 := t0 // start time, not neccesarily 0
si := 0 // source index
for di := 0; di < Nt; di++ { // dst index
want := time0 + float32(di)*deltaT/float32(Nt) // wanted time
for si < Nt-1 && !(time(si) <= want && time(si+1) > want && time(si) != time(si+1)) {
si++
}
x := (want - time(si)) / (time(si+1) - time(si))
if x < 0 || x > 1 {
panic(fmt.Sprint("x=", x))
}
interp3D(dataLists[di], 1-x, file(si).Host()[comp], x, file(si + 1).Host()[comp])
}
log.Println("FFT")
fftMany(dataList, Nt, Nx*Ny*Nz)
spectrum := magSpectrum(dataLists)
freqs := make([]float32, len(spectrum))
for i := range freqs {
freqs[i] = float32(i) * deltaF
}
header := []string{"f (Hz)", "Mag ()"}
f := httpfs.MustCreate("spectrum.txt")
writeTable(f, header, [][]float32{freqs, spectrum})
f.Close()
log.Println("normalize")
normalize(dataLists)
log.Println("output")
for _, o := range outputs {
if *o.Enabled {
output3D(dataLists, o.Filter, size, "fft_"+o.Name, deltaF)
}
}
}
