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place_bbs.py
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import networkx as nx
import numpy as np
from bbcif_properties import bb2array, X_vecs, bbbonds, bbcharges, calc_edge_len
from ciftemplate2graph import node_vecs, edge_vecs
from Bio import SVDSuperimposer
import itertools
import re
import random
def match_vectors(a1,a2,num):
dist1 = [(np.linalg.norm(a1[0]-a1[i]),i) for i in range(len(a1))]
dist2 = [(np.linalg.norm(a2[0]-a2[i]),i) for i in range(len(a2))]
dist1.sort(key=lambda x: x[0])
dist2.sort(key=lambda x: x[0])
vecs1 = np.array([a1[i] for i in [dist1[j][1] for j in range(num)]])
vecs2 = np.array([a2[i] for i in [dist2[j][1] for j in range(num)]])
return vecs1,vecs2
def superimpose(a1,a2):
sup = SVDSuperimposer()
a1 = np.asarray(a1)
a2 = np.asarray(a2)
if len(a1) <= 7:
min_dist = (1.0E6, 'foo', 'bar')
for l in itertools.permutations(a1):
p = np.asarray(l)
sup.set(a2,p)
sup.run()
rot,tran = sup.get_rotran()
aff_a1 = np.dot(l,rot) + tran
rms = sup.get_rms()
if rms < min_dist[0]:
min_dist = (rms,rot,tran)
else:
a1,a2 = match_vectors(a1,a2,6)
min_dist = (1.0E6, 'foo', 'bar')
for l in itertools.permutations(a1):
p = np.asarray(l)
sup.set(a2,p)
sup.run()
rot,tran = sup.get_rotran()
aff_a1 = np.dot(l,rot) + tran
rms = sup.get_rms()
if rms < min_dist[0]:
min_dist = (rms,rot,tran)
return min_dist
def scaled_node_and_edge_vectors(sc_coords, sc_omega_plus, sc_unit_cell, ea_dict):
nvecs = []
evecs = []
already_placed_edges = []
nvecs_append = nvecs.append
evecs_append = evecs.append
already_placed_edges_append = already_placed_edges.append
for n in sc_coords:
vertex,vcif,vfvec,indicent_edges = n
vcvec = np.dot(sc_unit_cell, vfvec)
ie = []
ie_append = ie.append
for e in indicent_edges:
ind = e[0]
positive_direction = e[1]
ecif = e[2]
if vertex == positive_direction[0]:
direction = 1
on = positive_direction[1]
else:
direction = -1
on = positive_direction[0]
dxn = ea_dict[vertex][ind][1]
dxon = ea_dict[on][ind][1]
LE = calc_edge_len(ecif, 'edges')
ie_append((ind, direction, ecif, dxn, dxon))
efvec = []
ecvec = []
efvec_append = efvec.append
ecvec_append = ecvec.append
for e in ie:
ind, d, ecif, dxn, dxon = e
cs = np.dot(sc_unit_cell, sc_omega_plus[ind - 1])
fvec = vfvec + d * sc_omega_plus[ind - 1]
cvec = vcvec + d * cs
ec1 = vcvec + d * dxn * (cs/np.linalg.norm(cs))
ec2 = cvec - d * dxon * (cs/np.linalg.norm(cs))
ecoords = np.average([ec1,ec2],axis=0)
ecvec_append(cvec)
efvec_append(fvec)
if ind not in already_placed_edges:
evecs_append((ind, ecif, ecoords, np.array([vcvec,cvec])))
already_placed_edges_append(ind)
nvecs_append((vertex, vcvec, vcif, np.asarray(ecvec)))
return nvecs, evecs
def place_nodes(nvecs, charges, ORIENTATION_DEPENDENT_NODES):
placed_nbb_coords = []
placed_nbb_coords_extend = placed_nbb_coords.extend
all_bonds = []
all_bonds_extend = all_bonds.extend
ind_seg = 0
bbind = 1
for n in nvecs:
bbind = bbind + 1
name,cvec,cif,nvec = n
ncom = np.average(nvec, axis=0)
ll = 0
for v in nvec:
mag = np.linalg.norm(v - np.average(nvec, axis = 0))
if mag > ll:
ll = mag
bbxvec = np.array(X_vecs(cif,'nodes',False))
if ORIENTATION_DEPENDENT_NODES:
nbbxvec = bbxvec
else:
nbbxvec = np.array([ll*(v / np.linalg.norm(v)) for v in bbxvec])
min_dist,rot,tran = superimpose(nbbxvec,nvec)
all_bb = bb2array(cif, 'nodes')
all_coords = np.array([v[1] for v in all_bb])
all_inds = np.array([v[0] for v in all_bb])
chg, elem = bbcharges(cif, 'nodes')
all_names = [o + re.sub('[A-Za-z]','',p) for o,p in zip(elem,all_inds)]
all_names_indices = np.array([int(re.sub('[A-Za-z]','',e)) for e in all_names]) + ind_seg
elem_dict = dict((k,'') for k in all_inds)
for i,j in zip(all_inds, elem):
elem_dict[i] = j
ind_dict = dict((k,'') for k in all_inds)
for i,j in zip(all_inds, all_names_indices):
ind_dict[i] = j
bonds = bbbonds(cif, 'nodes')
anf = [str(elem_dict[n]) + str(ind_dict[n]) for n in all_inds]
abf = []
for b in bonds:
b1 = str(elem_dict[b[0]]) + str(ind_dict[b[0]])
b2 = str(elem_dict[b[1]]) + str(ind_dict[b[1]])
abf.append([b1,b2] + b[2:])
aff_all = np.dot(all_coords,rot) + cvec
laff_all = np.c_[anf, aff_all, chg, all_inds, [bbind] * len(anf)]
placed_nbb_coords_extend(laff_all)
all_bonds_extend(abf)
ind_seg = ind_seg + len(all_names)
return placed_nbb_coords, all_bonds
def place_edges(evecs, charges, nnodes):
placed_ebb_coords = []
placed_ebb_coords_extend = placed_ebb_coords.extend
all_bonds = []
all_bonds_extend = all_bonds.extend
ind_seg = nnodes
bbind = -1
for e in evecs:
bbind = bbind - 1
index,cif,ecoords,evec=e
ecom = np.average(evec, axis=0)
ll = 0
for v in evec:
mag = np.linalg.norm(v - np.average(evec, axis = 0))
if mag > ll:
ll = mag
bbxvec = np.array(X_vecs(cif,'edges',False))
nbbxvec = np.array([ll*(v / np.linalg.norm(v)) for v in bbxvec])
min_dist,rot,tran = superimpose(nbbxvec,evec)
all_bb = bb2array(cif, 'edges')
all_coords = np.array([v[1] for v in all_bb])
all_inds = np.array([v[0] for v in all_bb])
chg, elem = bbcharges(cif, 'edges')
all_names = [o + re.sub('[A-Za-z]','',p) for o,p in zip(elem,all_inds)]
all_names_indices = np.array([int(re.sub('[A-Za-z]','',e)) for e in all_names]) + ind_seg
elem_dict = dict((k,'') for k in all_inds)
for i,j in zip(all_inds, elem):
elem_dict[i] = j
ind_dict = dict((k,'') for k in all_inds)
for i,j in zip(all_inds, all_names_indices):
ind_dict[i] = j
bonds = bbbonds(cif, 'edges')
anf = [str(elem_dict[n]) + str(ind_dict[n]) for n in all_inds]
abf = []
for b in bonds:
b1 = str(elem_dict[b[0]]) + str(ind_dict[b[0]])
b2 = str(elem_dict[b[1]]) + str(ind_dict[b[1]])
abf.append([b1,b2] + b[2:])
aff_all = np.dot(all_coords,rot) + ecoords
laff_all = np.c_[anf, aff_all, chg, all_inds, [bbind] * len(anf)]
placed_ebb_coords_extend(laff_all)
all_bonds_extend(abf)
ind_seg = ind_seg + len(all_names)
return placed_ebb_coords, all_bonds