def computePreviewMembers(self):
nmem = self.nmem
oml0 = self.geometry.oml0
quads, Wa = PSMlib.computepreviewmemberweights(nmem, 4*nmem, self.membersFlt)
linW = numpy.linspace(0,4*nmem-1,4*nmem)
B0 = scipy.sparse.csr_matrix((4*nmem,oml0.C.shape[0]))
for src in range(4):
W = scipy.sparse.csr_matrix((Wa[:,src],(linW,linW)))
for surf in range(oml0.nsurf):
npts = PSMlib.countpreviewmembers(surf+1, src+1, nmem, self.membersFlt)
if npts is not 0:
inds, P, Q = PSMlib.computepreviewmemberproj(surf+1, src+1, nmem, npts, self.membersFlt)
Ta = numpy.ones(npts)
Ti = inds - 1
Tj = numpy.linspace(0,npts-1,npts)
T = scipy.sparse.csr_matrix((Ta,(Ti,Tj)),shape=(4*nmem,npts))
mu, mv = oml0.edgeProperty(surf,1)
for u in range(mu):
for v in range(mv):
oml0.C[oml0.getIndex(surf,u,v,1),:3] = [u/(mu-1), v/(mv-1), 0]
oml0.computePointsC()
s,u,v = oml0.evaluateProjection(P, [surf], Q)
B = oml0.evaluateBases(s, u, v)
B0 = B0 + W.dot(T.dot(B))
oml0.computePoints()
nodes = B0.dot(oml0.C)
self.memEdgeLengths = PSMlib.computeedgelengths(nodes.shape[1],nmem,nodes,quads)
self.preview.append(['members', nodes, quads])
def computePreviewMembers(self):
nmem = self.nmem
bse = self.geometry._bse
nsurf = bse._num['surf']
ncp = bse._size['cp_str']
quads, Wa = PSMlib.computepreviewmemberweights(nmem, 4 * nmem,
self.membersFlt)
linW = numpy.linspace(0, 4 * nmem - 1, 4 * nmem, dtype='int')
B0 = scipy.sparse.csr_matrix((4 * nmem, ncp))
for src in range(4):
W = scipy.sparse.csr_matrix((Wa[:, src], (linW, linW)))
for surf in range(nsurf):
npts = PSMlib.countpreviewmembers(surf + 1, src + 1, nmem,
self.membersFlt)
if npts is not 0:
inds, P, Q = PSMlib.computepreviewmemberproj(
surf + 1, src + 1, nmem, npts, self.membersFlt)
Ta = numpy.ones(npts)
Ti = inds - 1
Tj = numpy.linspace(0, npts - 1, npts)
T = scipy.sparse.csr_matrix((Ta, (Ti, Tj)),
shape=(4 * nmem, npts))
mu = bse.get_bspline_option('num_cp', surf, 'u')
mv = bse.get_bspline_option('num_cp', surf, 'v')
nu = bse.get_bspline_option('num_pt', surf, 'u')
nv = bse.get_bspline_option('num_pt', surf, 'v')
for u in range(mu):
for v in range(mv):
bse.vec['cp_str'](surf)[u, v, :] = [
u / (mu - 1), v / (mv - 1), 0
]
for u in range(nu):
for v in range(nv):
bse.vec['pt_str'](surf)[u, v, :] = [
u / (nu - 1), v / (nv - 1), 0
]
bse.compute_projection('temp', P, [surf], ndim=3)
B = bse.jac['d(temp)/d(cp_str)']
B0 = B0 + W * T * B
bse.apply_jacobian('cp_str', 'd(cp_str)/d(cp)', 'cp')
nodes = B0 * bse.vec['cp_str'].array
self.memEdgeLengths = PSMlib.computeedgelengths(
nodes.shape[1], nmem, nodes, quads)
self.preview.append(['members', nodes, quads])
def computePreviewMembers(self):
nmem = self.nmem
bse = self.geometry._bse
nsurf = bse._num['surf']
ncp = bse._size['cp_str']
quads, Wa = PSMlib.computepreviewmemberweights(nmem, 4*nmem, self.membersFlt)
linW = numpy.linspace(0,4*nmem-1,4*nmem)
B0 = scipy.sparse.csr_matrix((4*nmem,ncp))
for src in range(4):
W = scipy.sparse.csr_matrix((Wa[:,src],(linW,linW)))
for surf in range(nsurf):
npts = PSMlib.countpreviewmembers(surf+1, src+1, nmem, self.membersFlt)
if npts is not 0:
inds, P, Q = PSMlib.computepreviewmemberproj(surf+1, src+1, nmem, npts, self.membersFlt)
Ta = numpy.ones(npts)
Ti = inds - 1
Tj = numpy.linspace(0,npts-1,npts)
T = scipy.sparse.csr_matrix((Ta,(Ti,Tj)),shape=(4*nmem,npts))
mu = bse.get_bspline_option('num_cp', surf, 'u')
mv = bse.get_bspline_option('num_cp', surf, 'v')
nu = bse.get_bspline_option('num_pt', surf, 'u')
nv = bse.get_bspline_option('num_pt', surf, 'v')
for u in range(mu):
for v in range(mv):
bse.vec['cp_str'](surf)[u, v, :] = [u/(mu-1), v/(mv-1), 0]
for u in range(nu):
for v in range(nv):
bse.vec['pt_str'](surf)[u, v, :] = [u/(nu-1), v/(nv-1), 0]
bse.compute_projection('temp', P, [surf], ndim=3)
B = bse.jac['d(temp)/d(cp_str)']
B0 = B0 + W * T * B
bse.apply_jacobian('cp_str', 'd(cp_str)/d(cp)', 'cp')
nodes = B0 * bse.vec['cp_str'].array
self.memEdgeLengths = PSMlib.computeedgelengths(nodes.shape[1],nmem,nodes,quads)
self.preview.append(['members', nodes, quads])
def computePreviewMembers(self):
nmem = self.nmem
oml0 = self.geometry.oml0
quads, Wa = PSMlib.computepreviewmemberweights(nmem, 4 * nmem,
self.membersFlt)
linW = numpy.linspace(0, 4 * nmem - 1, 4 * nmem)
B0 = scipy.sparse.csr_matrix((4 * nmem, oml0.C.shape[0]))
for src in range(4):
W = scipy.sparse.csr_matrix((Wa[:, src], (linW, linW)))
for surf in range(oml0.nsurf):
npts = PSMlib.countpreviewmembers(surf + 1, src + 1, nmem,
self.membersFlt)
if npts is not 0:
inds, P, Q = PSMlib.computepreviewmemberproj(
surf + 1, src + 1, nmem, npts, self.membersFlt)
Ta = numpy.ones(npts)
Ti = inds - 1
Tj = numpy.linspace(0, npts - 1, npts)
T = scipy.sparse.csr_matrix((Ta, (Ti, Tj)),
shape=(4 * nmem, npts))
mu, mv = oml0.edgeProperty(surf, 1)
for u in range(mu):
for v in range(mv):
oml0.C[oml0.getIndex(surf, u, v, 1), :3] = [
u / (mu - 1), v / (mv - 1), 0
]
oml0.computePointsC()
s, u, v = oml0.evaluateProjection(P, [surf], Q)
B = oml0.evaluateBases(s, u, v)
B0 = B0 + W.dot(T.dot(B))
oml0.computePoints()
nodes = B0.dot(oml0.C)
self.memEdgeLengths = PSMlib.computeedgelengths(
nodes.shape[1], nmem, nodes, quads)
self.preview.append(['members', nodes, quads])
