def setup_in_volume(volume, count, h, spc=1., orig=(0.,0.,0.), offset=0., offset_inner=None, steps=100, fact=0.0001, maxneighs=1000, radius=0.):
max_x_cl = CLScalar(volume.shape[0]*spc)
max_y_cl = CLScalar(volume.shape[1]*spc)
max_z_cl = CLScalar(volume.shape[2]*spc)
particles_cl = CLReal4()
oi = None
if not offset_inner == None:
oi = offset_inner - radius
particles_cl.value = rand_particles_in_volume(volume, count, spc=spc, orig=(0.,0.,0.), offset=offset + radius, offset_inner=oi)
maxneighs_cl = CLScalar(maxneighs)
volume.shape = (volume.shape[0],volume.shape[1],volume.shape[2],1)
vol_cl = CLReal()
vol_cl.value = volume
neighsearch = Neighsearch(particles_cl, h=h, maxneighs=int(maxneighs_cl.value))
neighsearch.search()
h_cl = CLScalar(h)
fact_cl = CLScalar(fact)
vol_shp0_cl = CLScalar(volume.shape[0])
vol_shp1_cl = CLScalar(volume.shape[1])
vol_shp2_cl = CLScalar(volume.shape[2])
offset_cl = CLScalar(offset)
if offset_inner == None:
offset_inner = -pow(10., 38)
offset_inner_cl = CLScalar(offset_inner)
print "offsets: ", offset_cl, offset_inner_cl
gradient_cl = CLReal4()
gradient_cl.value = gradient_field(volume)
kern = CLTemplateKernel(src=_RELAXPART_SRC, pre=_GET_DIST_GRAD_SRC)
kern.pos = particles_cl
kern.h = h_cl
kern.maxneighs = maxneighs_cl
kern.neighbors = neighsearch.neighbors
kern.fact = fact_cl
kern.volume = vol_cl
kern.spacing = CLScalar(spc)
kern.vol_shp0 = vol_shp0_cl
kern.vol_shp1 = vol_shp1_cl
kern.vol_shp2 = vol_shp2_cl
kern.offset = offset_cl
kern.offset_inner = offset_inner_cl
kern.gradient = gradient_cl
kern.max_x = max_x_cl
kern.max_y = max_y_cl
kern.max_z = max_z_cl
kern.compile()
print 'Particle initialization'
for i in range(steps):
neighsearch.search()
kern()
kern.finish()
print 'Step', i+1, 'of', steps
ret = particles_cl.value
ret[:,0] += orig[0]
ret[:,1] += orig[1]
ret[:,2] += orig[2]
return ret
@author: Hagen
"""
# import useful modules
from matplotlib import pyplot
from meshtools import load_vtk_polydata, voxelize
from numcl.tools import gradient_field
import numpy as np
tri, vert = load_vtk_polydata('/Users/Hagen/Code/Python/sphPy/Test.vtk')
vol = voxelize(tri, vert, res=10, refine=1, framewidth=0.1)
vol.shape = (vol.shape[0],vol.shape[1],vol.shape[2],1)
grad = gradient_field(vol)
for i in range(1):
theslice = i
x = np.zeros(vol.shape[2])
y = np.zeros(vol.shape[1])
u = np.zeros((grad.shape[1],grad.shape[2]))
v = np.zeros((grad.shape[1],grad.shape[2]))
for n in range(len(x)):
x[n] = n
for n in range(len(y)):
y[n] = n
