ind = edge[2]
print ind, ':', edge[0], edge[1]
print 'length : ', edge_dict['length']
print 'type : ', edge_dict['type']
print 'label : ', edge_dict['label']
print 'positive direction :', edge_dict['pd']
print 'cartesian coords : ', edge_dict['ccoords']
print 'fractional coords : ', edge_dict['fcoords']
print ''
vas = vertex_assign(TG, TVT, node_cns, unit_cell, ONE_ATOM_NODE_CN,
USER_SPECIFIED_NODE_ASSIGNMENT, SYMMETRY_TOL,
ALL_NODE_COMBINATIONS)
num_edges = len(TG.edges())
CB, CO = cycle_cocyle(TG)
for va in vas:
if len(va) == 0:
print 'At least one vertex does not have a building block with the correct number of connection sites.'
print 'Moving to the next template.'
print ''
continue
if len(CB) != (len(TG.edges()) - len(TG.nodes()) + 1):
print 'The cycle basis is incorrect.'
print 'The number of cycles in the cycle basis does not equal the rank of the cycle space.'
print 'Moving to the next tempate.'
continue
Bstar, alpha = Bstar_alpha(CB, CO, TG, num_edges)
def run_template(template):
print()
print('=========================================================================================================')
print('template :',template)
print('=========================================================================================================')
print()
cat_count = 0
for net in ct2g(template):
cat_count += 1
TG, start, unit_cell, TVT, TET, TNAME, a, b, c, ang_alpha, ang_beta, ang_gamma, max_le, catenation = net
TVT = sorted(TVT, key=lambda x:x[0], reverse=True)
TET = sorted(TET, reverse=True)
node_cns = [(cncalc(node, 'nodes', ONE_ATOM_NODE_CN), node) for node in os.listdir('nodes')]
print('Number of vertices = ', len(TG.nodes()))
print('Number of edges = ', len(TG.edges()))
print()
if PRINT:
print('There are', len(TG.nodes()), 'vertices in the voltage graph:')
print()
v = 0
for node in TG.nodes():
v += 1
print(v,':',node)
node_dict = TG.node[node]
print('type : ', node_dict['type'])
print('cartesian coords : ', node_dict['ccoords'])
print('fractional coords : ', node_dict['fcoords'])
print('degree : ', node_dict['cn'][0])
print()
print('There are', len(TG.edges()), 'edges in the voltage graph:')
print()
for edge in TG.edges(data=True,keys=True):
edge_dict = edge[3]
ind = edge[2]
print(ind,':',edge[0],edge[1])
print('length : ',edge_dict['length'])
print('type : ',edge_dict['type'])
print('label : ',edge_dict['label'])
print('positive direction :',edge_dict['pd'])
print('cartesian coords : ',edge_dict['ccoords'])
print('fractional coords : ',edge_dict['fcoords'])
print()
vas = vertex_assign(TG, TVT, node_cns, unit_cell, ONE_ATOM_NODE_CN, USER_SPECIFIED_NODE_ASSIGNMENT, SYMMETRY_TOL, ALL_NODE_COMBINATIONS)
CB,CO = cycle_cocyle(TG)
for va in vas:
if len(va) == 0:
print('At least one vertex does not have a building block with the correct number of connection sites.')
print('Moving to the next template...')
print()
continue
if len(CB) != (len(TG.edges()) - len(TG.nodes()) + 1):
print('The cycle basis is incorrect.')
print('The number of cycles in the cycle basis does not equal the rank of the cycle space.')
print('Moving to the next tempate...')
continue
num_edges = len(TG.edges())
Bstar, alpha = Bstar_alpha(CB,CO,TG,num_edges)
if PRINT:
print('B* (top) and alpha (bottom) for the barycentric embedding are:')
print()
for i in Bstar:
print(i)
print()
for i in alpha:
print(i)
print()
num_vertices = len(TG.nodes())
if COMBINATORIAL_EDGE_ASSIGNMENT:
eas = list(itertools.product([e for e in os.listdir('edges')], repeat = len(TET)))
else:
edge_files = sorted([e for e in os.listdir('edges')])
eas = []
i = 0
while len(eas) < len(TET):
eas.append(edge_files[i])
i += 1
if i == len(edge_files):
i = 0
eas = [eas]
g = 0
for va in vas:
node_elems = [bbelems(i[1], 'nodes') for i in va]
metals = [[i for i in j if i in metal_elements] for j in node_elems]
metals = list(set([i for j in metals for i in j]))
v_set = [('v' + str(vname_dict[re.sub('[0-9]','',i[0])]), i[1]) for i in va]
v_set = sorted(list(set(v_set)), key=lambda x: x[0])
v_set = [v[0] + '-' + v[1] for v in v_set]
print('++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++')
print('vertex assignment : ',v_set)
print('++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++')
print()
if SINGLE_METAL_MOFS_ONLY and len(metals) != 1:
print(v_set, 'contains no metals or multiple metal elements, no cif will be written')
print()
continue
for v in va:
for n in TG.nodes(data=True):
if v[0] == n[0]:
n[1]['cifname'] = v[1]
for ea in eas:
g += 1
print('++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++')
print('edge assignment : ',ea)
print('++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++')
print()
type_assign = dict((k,[]) for k in sorted(TET, reverse=True))
for k,m in zip(TET,ea):
type_assign[k] = m
for e in TG.edges(data=True):
ty = e[2]['type']
for k in type_assign:
if ty == k or (ty[1],ty[0]) == k:
e[2]['cifname'] = type_assign[k]
ea_dict = assign_node_vecs2edges(TG, unit_cell, SYMMETRY_TOL)
all_SBU_coords = SBU_coords(TG, ea_dict, CONNECTION_SITE_BOND_LENGTH)
sc_a, sc_b, sc_c, sc_alpha, sc_beta, sc_gamma, sc_covar, Bstar_inv, max_length, callbackresults, ncra, ncca, scaling_data = scale(all_SBU_coords,a,b,c,ang_alpha,ang_beta,ang_gamma,max_le,num_vertices,Bstar,alpha,num_edges,FIX_UC,SCALING_ITERATIONS,PRE_SCALE,SCALING_CONVERGENCE_TOLERANCE,SCALING_STEP_SIZE)
print('*******************************************')
print('The scaled unit cell parameters are : ')
print('*******************************************')
print('a :', np.round(sc_a, 5))
print('b :', np.round(sc_b, 5))
print('c :', np.round(sc_c, 5))
print('alpha:', np.round(sc_alpha, 5))
print('beta :', np.round(sc_beta, 5))
print('gamma:', np.round(sc_gamma, 5))
print()
for sc, name in zip((sc_a, sc_b, sc_c), ('a', 'b', 'c')):
cflag = False
if sc < 1.0:
print('unit cell parameter', name, 'has collapsed during scaling!')
print('try re-running with', name, 'fixed, with a larger value for PRE_SCALE, or with a higher SCALING_CONVERGENCE_TOLERANCE')
print('no cif will be written')
cflag = True
if cflag:
continue
scaled_params = [sc_a,sc_b,sc_c,sc_alpha,sc_beta,sc_gamma]
sc_Alpha = np.r_[alpha[0:num_edges-num_vertices+1,:], sc_covar]
sc_omega_plus = np.dot(Bstar_inv, sc_Alpha)
ax = sc_a
ay = 0.0
az = 0.0
bx = sc_b * np.cos(sc_gamma * pi/180.0)
by = sc_b * np.sin(sc_gamma * pi/180.0)
bz = 0.0
cx = sc_c * np.cos(sc_beta * pi/180.0)
cy = (sc_c * sc_b * np.cos(sc_alpha * pi/180.0) - bx * cx) / by
cz = (sc_c ** 2.0 - cx ** 2.0 - cy ** 2.0) ** 0.5
sc_unit_cell = np.asarray([[ax,ay,az],[bx,by,bz],[cx,cy,cz]]).T
scaled_coords = omega2coords(start, TG, sc_omega_plus, (sc_a,sc_b,sc_c,sc_alpha,sc_beta,sc_gamma), num_vertices, template, g, WRITE_CHECK_FILES)
nvecs,evecs = scaled_node_and_edge_vectors(scaled_coords, sc_omega_plus, sc_unit_cell, ea_dict)
placed_nodes, node_bonds = place_nodes(nvecs, CHARGES, ORIENTATION_DEPENDENT_NODES)
placed_edges, edge_bonds = place_edges(evecs, CHARGES, len(placed_nodes))
if RECORD_CALLBACK:
vnames = '_'.join([v.split('.')[0] for v in v_set])
if len(ea) <= 5:
enames = '_'.join([e[0:-4] for e in ea])
else:
enames = str(len(ea)) + '_edges'
prefix = template[0:-4] + '_' + vnames + '_' + enames
frames = scaling_callback_animation(callbackresults, alpha, Bstar_inv, ncra, ncca, num_vertices, num_edges, TG, template, g, False)
write_scaling_callback_animation(frames, prefix)
animate_objective_minimization(callbackresults, prefix)
if PLACE_EDGES_BETWEEN_CONNECTION_POINTS:
placed_edges = adjust_edges(placed_edges, placed_nodes, sc_unit_cell)
placed_all = placed_nodes + placed_edges
bonds_all = node_bonds + edge_bonds
if WRITE_CHECK_FILES:
write_check_cif(template, placed_nodes, placed_edges, g, scaled_params, sc_unit_cell)
if SINGLE_ATOM_NODE or NODE_TO_NODE:
placed_all,bonds_all = remove_Fr(placed_all,bonds_all)
print('computing X-X bonds...')
print()
print('*******************************************')
print('Bond formation : ')
print('*******************************************')
fixed_bonds, nbcount, bond_check = bond_connected_components(placed_all, bonds_all, sc_unit_cell, max_length, BOND_TOL, TRACE_BOND_MAKING, NODE_TO_NODE, EXPANSIVE_BOND_SEARCH, ONE_ATOM_NODE_CN)
print('there were ', nbcount, ' X-X bonds formed')
if bond_check:
print('bond check passed')
bond_check_code = ''
else:
print('bond check failed, attempting distance search bonding...')
fixed_bonds, nbcount = distance_search_bond(placed_all, bonds_all, sc_unit_cell, 2.5, TRACE_BOND_MAKING)
bond_check_code = '_BOND_CHECK'
print('there were', nbcount, 'X-X bonds formed')
print()
if CHARGES:
fc_placed_all, netcharge, onetcharge, rcb = fix_charges(placed_all)
else:
fc_placed_all = placed_all
fixed_bonds = fix_bond_sym(fixed_bonds, placed_all, sc_unit_cell)
if CHARGES:
print('*******************************************')
print('Charge information : ')
print('*******************************************')
print('old net charge :', np.round(onetcharge, 5))
print('rescaling magnitude :', np.round(rcb, 5))
remove_net = choice(range(len(fc_placed_all)))
fc_placed_all[remove_net][4] -= np.round(netcharge, 4)
print('new net charge (after rescaling):', np.sum([li[4] for li in fc_placed_all]))
print()
vnames = '_'.join([v.split('.')[0] for v in v_set])
if len(ea) <= 5:
enames = []
for e in [e[0:-4] for e in ea]:
if e not in enames:
enames.append(e)
enames = '_'.join(enames)
else:
enames = str(len(ea)) + '_edges'
if catenation:
cifname = template[0:-4] + '_' + vnames + '_' + enames + bond_check_code + '_' + 'CAT' + str(cat_count) + '.cif'
else:
cifname = template[0:-4] + '_' + vnames + '_' + enames + bond_check_code + '.cif'
if WRITE_CIF:
print('writing cif...')
print()
if len(cifname) > 255:
cifname = cifname[0:241]+'_truncated.cif'
write_cif(fc_placed_all, fixed_bonds, scaled_params, sc_unit_cell, cifname, CHARGES)
if catenation and MERGE_CATENATED_NETS:
print('merging catenated cifs...')
cat_cifs = glob.glob('output_cifs/*_CAT*.cif')
for comb in itertools.combinations(cat_cifs, cat_count):
builds = [name[0:-9] for name in comb]
print(set(builds))
if len(set(builds)) == 1:
pass
else:
continue
merge_catenated_cifs(comb, CHARGES)
for cif in cat_cifs:
os.remove(cif)