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symmetry.py
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symmetry.py
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import numpy as np
from util import memoize
import density
import pyximport; pyximport.install(setup_args={"include_dirs":np.get_include()},reload_support=True)
import sincint
@memoize
def get_symmetryop(symstr):
if symstr is None:
return None
else:
return SymmetryOp(symstr)
""" A class to handle symmetrizing 3D densities """
class SymmetryOp:
def __init__(self,symclass='',symorder=None):
if symorder is None:
# Parse symclass
self.symclass = symclass[0].lower()
self.symorder = int(symclass[1:])
else:
self.symclass = symclass.lower()
self.symorder = symorder
self.symstring = '{0}{1}'.format(self.symclass,self.symorder)
assert self.symclass in set(['c','d',''])
assert self.symorder >= 1
self.thetas = np.linspace(0,360.0,self.symorder,endpoint=False)
self.Rs = []
for ct in self.thetas[1:]:
theta = ct*(np.pi/180.0)
R = np.array([ [ np.cos(theta),-np.sin(theta), 0],
[ np.sin(theta), np.cos(theta), 0],
[ 0, 0, 1] ])
self.Rs.append(R)
if self.symclass == 'd':
dR2 = np.array([ [ -1.0, 0, 0 ],
[ 0, 1.0, 0 ],
[ 0, 0, -1.0 ] ])
self.Rs.append(dR2)
for ct in self.thetas[1:]:
theta = ct*(np.pi/180.0)
R = np.array([ [ np.cos(theta),-np.sin(theta), 0],
[ np.sin(theta), np.cos(theta), 0],
[ 0, 0, 1] ])
self.Rs.append(np.dot(dR2,R))
def get_order(self):
if self.symclass == 'd':
return 2*self.symorder
else:
return self.symorder
def get_rotations(self,exclude_dsym=False):
if exclude_dsym:
return self.Rs[0:(self.symorder-1)]
else:
return self.Rs
def in_asymunit(self,pts,eps=1e-8):
""" Check if a point is in the asymmetric unit, pts is Nx3 """
dtheta2 = self.thetas[1]*(np.pi/180.0)/2.0
pts = pts / np.sqrt(np.sum(pts**2,axis=1)).reshape((-1,1))
phi = np.arccos(pts[:,2]).reshape((-1,))
theta = np.arctan2(pts[:,1], pts[:,0]).reshape((-1,))
ret = np.logical_and(-eps-dtheta2 <= theta,
theta <= dtheta2+eps)
if self.symclass == 'd':
ret = np.logical_and(ret, phi <= np.pi/2.0 + eps)
return ret
def identify_asymunit(self,pts,res):
N = pts.shape[0]
cres = np.cos(res)
# cosd = pts.dot(pts.T)
Rs = self.get_rotations()
ret = np.zeros(N,dtype=np.int32)
ret[0] = 1
in_asym = [0]
in_sym = []
in_unk = range(1,N)
for itNum in xrange(1,N):
asym_pts = pts[in_asym,:]
unk_pts = pts[in_unk,:]
testI = unk_pts.dot(asym_pts.T).max(axis=1).argmax()
testptI = in_unk[testI]
cpt = unk_pts[testptI]
found_sym = False
for R in Rs:
asym_cosds = asym_pts.dot(R.dot(cpt))
nclose = np.sum(asym_cosds >= cres)
if nclose:
found_sym = True
break
if found_sym:
ret[testptI] = -1
in_sym.append(testptI)
else:
ret[testptI] = 1
in_asym.append(testptI)
in_unk = in_unk[0:testI] + in_unk[testI+1:]
def apply(self,M,normalize=True,kernel='sinc',kernelsize=3,rad=2):
if self.symclass == '':
return M
if np.iscomplexobj(M):
symRs = np.array(self.get_rotations(exclude_dsym=True), dtype=np.float32)
N = M.shape[0]
if rad*self.get_order()*N < 500: # VERY heuristic
symM = sincint.symmetrize_fspace_volume(M,rad,kernel,kernelsize,symRs=symRs)
if self.symclass == 'd':
symR = np.array([ [ [ -1.0, 0, 0 ],
[ 0, 1.0, 0 ],
[ 0, 0, -1.0 ] ] ], dtype=np.float32)
symM = sincint.symmetrize_fspace_volume(symM,rad,kernel,kernelsize,symRs=symR)
else:
return density.real_to_fspace(self.apply(density.fspace_to_real(M),normalize=normalize))
else:
symRs = np.array(self.get_rotations(), dtype=np.float32)
symM = sincint.symmetrize_volume(np.require(M,dtype=np.float32),symRs)
# symRs = n.array(self.get_rotations(exclude_dsym=True), dtype=n.float32)
# symM = sincint.symmetrize_volume_z(M,symRs)
# if self.symclass == 'd':
# symR = n.array([ [ [ -1.0, 0, 0 ],
# [ 0, -1.0, 0 ],
# [ 0, 0, 1.0 ] ] ], dtype=n.float32)
# symM = n.swapaxes(sincint.symmetrize_volume_z(n.swapaxes(symM,1,2),symR),1,2)
if normalize:
symM /= self.get_order()
return symM