def GenKolmogorov(N,
seed=0):
grid=pybnlib.doubleArray( N*N)
pybnlib.KolmogorovPlatform(N,
grid,
seed)
return CopyToNA(grid,N)
def GenerateKolmogorov3D( Nx,Ny,Nz,
seed=None,
opt=pybnlib.KInitialEFB):
grid=pybnlib.doubleArray( Nx*Ny*Nz)
rfn=pybnlib.NormDistZM(1.0)
if seed != None:
rfn.reseed(seed)
pybnlib.Kolmogorov3D( grid, Nx,Ny,Nz, rfn, opt)
return ( grid,
( Nx,Ny,Nz) )
def DrawCorners(N=3,ver="V1"):
cube= pybnlib.doubleArray( N**3)
for i in range(N**3):
cube[i]=0
if ver == "V1":
pybnlib.KolmogorovCorners3D( cube, N, rfn)
elif ver == "V2":
pybnlib.KolmogorovCorners3DV2( cube, N, rfn)
else:
raise "Unkown version"
return cube
def SimpleGridMagTest():
N=3
a=pybnlib.doubleArray( N*N*N)
for x,y,z in [ (0,0,0),
(N-1,0,0),
(0,N-1,0),
(0,0,N-1),
(N-1,N-1,0),
(N-1,0,N-1),
(0,N-1,N-1),
(N-1,N-1,N-1)]:
a[x+ y*N + z*N*N]=1
b=pybnlib.doubleArray( 5*3*3)
pybnlib.KMagnifyGrid( a, N,
b,
5,3,3)
return b
def GenK(N,usenumpy=False):
grid=pybnlib.doubleArray( N*N*N)
rfn=pybnlib.NormDistZM(1.0)
pybnlib.Kolmogorov3D( grid, N, rfn)
if usenumpy:
res=numpy.zeros( (N,N,N), numpy.float64)
else:
res=numarray.zeros( (N,N,N), numarray.Float64)
for k in range(N):
for j in range(N):
for i in range(N):
res[i,j,k] = grid[ k*N*N+j*N+i]
return res
def ZFlatten(g,x):
Nx, Ny, Nz = g[1]
ext=pybnlib.Extnent3D()
ext.i=Nx
ext.j=Ny
ext.k=Nz
res=pybnlib.doubleArray( Nx*Ny)
pybnlib.ZFlatten( g[0],
ext,
0,
x,
res)
return res
def RandomCubeSFN(cube,
s_p,
acumlen):
"Compute the structure function"
acum= pybnlib.doubleArray( acumlen)
ns= pybnlib.size_tArray( acumlen)
pybnlib.RandomSFN( cube[0], cube[1][0], cube[1][1], cube[1][2], s_p, acum, ns, acumlen)
r=[]
for i in range(acumlen):
r.append( (10**(float(i)/acumlen * math.log10(2*cube[1][0] )) ,
acum[i], ns[i] ))
return numarray.array( r)
def GenKolmogorovV2(N,
seed=None,
sfn=pybnlib.KolPowerLawFn(pybnlib.KolPowerLawFn.D3Thick)):
grid=pybnlib.doubleArray( N*N)
rfn=pybnlib.NormDistZM(1.0)
if seed != None:
rfn.reseed(seed)
else:
rfn.reseed(pybnlib.TimeSeed())
pybnlib.KolmogorovPlatform(N,
grid,
sfn,
rfn)
return CopyToNA(grid,N)
def GenKV2_raw(Nx,Ny,Nz):
grid=pybnlib.doubleArray( Nx*Ny*Nz)
rfn=pybnlib.NormDistZM(1.0)
pybnlib.Kolmogorov3D( grid, Nx,Ny,Nz, rfn)
return grid
import pybnlib dd = range(1,10) da= pybnlib.doubleArray( len(dd)) for i, val in enumerate(dd): da[i]=val il=pybnlib.InterpolatorLog(da, da, len(dd) , pybnlib.InterpolatorLog.akima, pybnlib.InterpolatorLog.linear ) il2=pybnlib.InterpolatorGSL(da, da, len(dd) , pybnlib.InterpolatorLog.akima)
