def compute(self, name):
face = self.faces['']
num_u = face._num_cp_total['u']
num_v = face._num_cp_total['v']
if name == 'cp_prim': #If we are at the cp_prim step...
return super(PGMcone, self).compute(name) #Call the function that sets up the normal properties
elif name == 'cp_bez': #If we are at the cp_bez step...
rgt = self._comp.faces['rgt']
top = self._comp.faces['top']
lft = self._comp.faces['lft']
bot = self._comp.faces['bot']
if self._side == 'front':
W = rgt.vec_inds['cp_prim'][::-1,:2,:]
N = top.vec_inds['cp_prim'][:,:2,:]
E = lft.vec_inds['cp_prim'][:,:2,:]
S = bot.vec_inds['cp_prim'][::-1,:2,:]
elif self._side == 'rear':
E = rgt.vec_inds['cp_prim'][::-1,-1:-3:-1,:]
N = top.vec_inds['cp_prim'][::-1,-1:-3:-1,:]
W = lft.vec_inds['cp_prim'][:,-1:-3:-1,:]
S = bot.vec_inds['cp_prim'][:,-1:-3:-1,:]
nD = 0
nD += 3 * 2 * num_v + 3 * 2 * (num_u - 2)
nD += 3 * 8 * (num_v - 3 + num_u - 3)
nD += 3 * 8
Da, Di, Dj = PGMlib.computeconewireframe(nD, num_u, num_v, 1.0, self._weight, W, E, N, S, face.vec_inds['cp_bez'])
Das, Dis, Djs = super(PGMcone, self).compute(name) #We will recover identity matrices just to carry over the normal parameters (Check PGMinterpolant.py)
return Das + [Da], Dis + [Di], Djs + [Dj]
elif name == 'cp_coons': #If we are at the cp_coons step...
nD = 3 * 8 * 4 * ((num_u-1)/2 -1) * ((num_v-1)/2 -1)
Da, Di, Dj = PGMlib.computeconecoons(nD, num_u, num_v, face.vec_inds['cp_coons'])
Das, Dis, Djs = super(PGMcone, self).compute(name) #We will recover identity matrices just to carry over the normal parameters (Check PGMinterpolant.py)
return Das + [Da], Dis + [Di], Djs + [Dj]
def compute(self, name):
face = self.faces['']
num_u = face._num_cp_total['u']
num_v = face._num_cp_total['v']
if name == 'cp_prim': #If we are at the cp_prim step...
return super(PGMcone, self).compute(
name) #Call the function that sets up the normal properties
elif name == 'cp_bez': #If we are at the cp_bez step...
rgt = self._comp.faces['rgt']
top = self._comp.faces['top']
lft = self._comp.faces['lft']
bot = self._comp.faces['bot']
if self._side == 'front':
W = rgt.vec_inds['cp_prim'][::-1, :2, :]
N = top.vec_inds['cp_prim'][:, :2, :]
E = lft.vec_inds['cp_prim'][:, :2, :]
S = bot.vec_inds['cp_prim'][::-1, :2, :]
elif self._side == 'rear':
E = rgt.vec_inds['cp_prim'][::-1, -1:-3:-1, :]
N = top.vec_inds['cp_prim'][::-1, -1:-3:-1, :]
W = lft.vec_inds['cp_prim'][:, -1:-3:-1, :]
S = bot.vec_inds['cp_prim'][:, -1:-3:-1, :]
nD = 0
nD += 3 * 2 * num_v + 3 * 2 * (num_u - 2)
nD += 3 * 8 * (num_v - 3 + num_u - 3)
nD += 3 * 8
Da, Di, Dj = PGMlib.computeconewireframe(nD, num_u, num_v, 1.0,
self._weight, W, E, N, S,
face.vec_inds['cp_bez'])
Das, Dis, Djs = super(PGMcone, self).compute(
name
) #We will recover identity matrices just to carry over the normal parameters (Check PGMinterpolant.py)
return Das + [Da], Dis + [Di], Djs + [Dj]
elif name == 'cp_coons': #If we are at the cp_coons step...
nD = 3 * 8 * 4 * ((num_u - 1) / 2 - 1) * ((num_v - 1) / 2 - 1)
Da, Di, Dj = PGMlib.computeconecoons(nD, num_u, num_v,
face.vec_inds['cp_coons'])
Das, Dis, Djs = super(PGMcone, self).compute(
name
) #We will recover identity matrices just to carry over the normal parameters (Check PGMinterpolant.py)
return Das + [Da], Dis + [Di], Djs + [Dj]
def compute(self, name):
rgt = self._comp.faces['rgt']
top = self._comp.faces['top']
lft = self._comp.faces['lft']
bot = self._comp.faces['bot']
face = self.faces['']
num_u = face._num_cp_total['u']
num_v = face._num_cp_total['v']
if self._side == 'front':
W = rgt.vec_inds['cp_prim'][::-1,:2,:]
N = top.vec_inds['cp_prim'][:,:2,:]
E = lft.vec_inds['cp_prim'][:,:2,:]
S = bot.vec_inds['cp_prim'][::-1,:2,:]
elif self._side == 'rear':
E = rgt.vec_inds['cp_prim'][::-1,-1:-3:-1,:]
N = top.vec_inds['cp_prim'][::-1,-1:-3:-1,:]
W = lft.vec_inds['cp_prim'][:,-1:-3:-1,:]
S = bot.vec_inds['cp_prim'][:,-1:-3:-1,:]
nD = 0
nD += 3 * 2 * num_v + 3 * 2 * (num_u - 2)
nD += 3 * 8 * (num_v - 3 + num_u - 3)
nD += 3 * 8
Da, Di, Dj = PGMlib.computeconewireframe(nD, num_u, num_v, 1.0, self._weight, W, E, N, S, face.vec_inds['cp_bez'])
Das, Dis, Djs = [Da], [Di], [Dj]
if name == 'cp_bez':
return Das, Dis, Djs
elif name == 'cp_coons':
nD = 3 * 8 * 4 * ((num_u-1)/2 -1) * ((num_v-1)/2 -1)
Da, Di, Dj = PGMlib.computeconecoons(nD, num_u, num_v, face.vec_inds['cp_coons'])
Das.append(Da)
Dis.append(Di)
Djs.append(Dj)
return Das, Dis, Djs
elif name == 'cp_prim':
return [], [], []
