def find_pores(st_in, r_matrix=1.4, r_impurity = 0.6, step_dec = 0.05, fine = 0.3, prec = 0.1, calctype = 'central', gbpos = 0,
find_close_to = (), check_pore_vol = 0):
"""
st_in - input Structure() object
r_impurity (A)- all pores smaller than this radius will be found
r_matrix (A) - radius of matrix atoms disregarding to their type
step_dec - scanning step of the cell in Angstroms
fine - allows to change density of local points; local_step = step_dec/fine
prec - precicion of pore center determination
check_pore_vol - allows to estimate volume of pores; has problems for big cells
'find_close_to' - works in the cases of gb and grain_vol; allows to ignore all and find pore close to provided three reduced coordinates
return - instance of Structure() class with coordinates of pores. Number and type of included pores depend on the argument of 'calctype'.
"""
xred = st_in.xred
natom = len(xred)
rprimd = st_in.rprimd
name = st_in.name
#print xred
"""Additional values"""
# check_pore_vol = 1
#if calctype in ("pore_vol","gb","grain_vol","all_local" ): check_pore_vol = 1 #something wrong with this function, especially for big cells
"""----Conversions of types for C++"""
r1 = create_c_array(rprimd[0], float)
r2 = create_c_array(rprimd[1], float)
r3 = create_c_array(rprimd[2], float)
xred1 = (c_float * len(xred))(*[x[0] for x in xred])
xred2 = (c_float * len(xred))(*[x[1] for x in xred])
xred3 = (c_float * len(xred))(*[x[2] for x in xred])
max_npores = 10000;
ntot = ctypes.c_int32(); npores = ctypes.c_int32()
l_pxred1 = (c_float * max_npores)(0) #make static arrays fol local points
l_pxred2 = (c_float * max_npores)(0)
l_pxred3 = (c_float * max_npores)(0)
l_npores = (ctypes.c_int32 * max_npores)(0)
pxred1 = (c_float * max_npores)(0) #make static arrays natoms + npore
pxred2 = (c_float * max_npores)(0)
pxred3 = (c_float * max_npores)(0)
"""----Run C++ function"""
print_and_log("Starting C++ function lib.findpores()...\n")
lib.findpores ( check_pore_vol, \
max_npores, \
byref(ntot), l_pxred1, l_pxred2, l_pxred3, l_npores, \
byref(npores), pxred1, pxred2, pxred3, \
natom, xred1, xred2, xred3, \
c_float(r_matrix), c_float(r_impurity), c_float(step_dec), c_float(fine), c_float(prec), \
r1, r2, r3 )
print_and_log( "ntot is ", ntot.value)
print_and_log( "l_npores[0] is ",l_npores[0])
v = np.zeros((3))
l_pxred = []
shift1 = 0; shift2 = 0
for i_por in range(npores.value):
l_pxred.append( [] )
shift2+=l_npores[i_por]
for i in range(shift1, shift2):
v[0] = l_pxred1[i]; v[1] = l_pxred2[i]; v[2] = l_pxred3[i]
l_pxred[i_por].append( v.copy() )
shift1 = shift2
if shift2 != ntot.value:
print_and_log( "Error! final shift2 not equal to ntot")
#print l_pxred[0]
pxred = [] # only coordinates of pores
#print pxred1[natom]
for i in range(npores.value):
v[0] = pxred1[i+natom]; v[1]= pxred2[i+natom]; v[2] = pxred3[i+natom] #with shift, because first natom elements are coordinates of atoms
pxred.append( v.copy() )
#print pxred
"""----End of C++; result is two lists: lpxred - local geometry of all pores, pxred - coordinates of all pores"""
""" Analyse of pores """
st_result = Structure()
st_result.rprimd = rprimd
targetp = np.array((0.,0.,0.))
if find_close_to:
targetp = np.asarray(find_close_to) #targer point
print_and_log( "Target point is ",targetp)
a = step_dec/fine #the side of little cube formed by the mesh which is used to find spheres inside the pore.
aaa = a*a*a
#find most central pore
if calctype == 'central': #return coordinates of the most central pore
st_result.name = "central_pore_from "+name
center = np.array((0.5,0.5,0.5))#center of cell
d_min = 100
for x in pxred:
d = np.linalg.norm(x - center)
#print x, x-center, d
if d < d_min and x[0] <= 0.5 and x[1] <= 0.5 and x[2] <= 0.5:
d_min = d
x_min = x
print_and_log( "The closest pore to the center has coordinates",x_min)
st_result.xred.append( x_min )
elif calctype == 'gb': #add impurity at gb
st_result.name = "gb_pore_from "+name
d_min = 100; #d2_min = 100
dt_min =100
i_min = 0; x_min = np.zeros((3))
for i, x in enumerate(pxred):
#print "l_npores ",l_npores[i]
d = abs(x[0] - gbpos/rprimd[0][0]) #
#print x[0], d
if find_close_to: closer = (np.linalg.norm(targetp - x) < dt_min)
else: closer = ( d < d_min ) # and x[1]>0.3 and x[2]>0.3:
if closer:
x_pre = x_min
i_pre = i_min
d_min = d
dt_min = np.linalg.norm(targetp - x)
x_min = x
i_min = i
#find and add impurity in bulk
#d2 = abs( x[0] - (gbpos/rprimd[0][0] - 0.25) )
#if d2 < d2_min:
# d2_min = d2
# x2_min = x
# i2_min = i
#print "rprimd[0][0]", rprimd[0][0]
print_and_log( "Position of boundary is ",gbpos/rprimd[0][0])
#x_min[0] = gbpos/rprimd[0][0]
if find_close_to: print_and_log( "The closest pore to the target point is [ %.2f %.2f %.2f ]"%(x_min[0], x_min[1], x_min[2]))
else: print_and_log( "The closest pore to the gb has coordinates",x_min)
st_result.xred.append( x_min )
#st_result.xred.append( x_pre )
#Calculate volume of the pore using local balls:
print_and_log( "The number of pore is ",i_min," ; It has ",l_npores[i_min], "local balls")
print_and_log( "Volume of pore is ", l_npores[i_min] * a*a*a, " A^3")
#st_result.xred.extend( l_pxred[i_min] )
#st_result.xred.extend( l_pxred[i_pre] )
#print "The closest pore to the center of bulk has coordinates",x2_min
#st_result.xred.append( x2_min )
#Calculate volume of the pore using local balls:
#print "The number of bulk pore is ",i2_min," ; It has ",l_npores[i2_min], "local balls"
#print "Volume of pore is ", l_npores[i2_min] * a*a*a, " A^3";
#st_result.xred.extend( l_pxred[i2_min] )
elif calctype == 'grain_vol': #add impurity to volume of grain
st_result.name = "grain_volume_pore_from "+name
d2_min = 100
dt_min = 100
i_min = 0; x_min = np.zeros((3))
for i, x in enumerate(pxred):
#find and add impurity to the bulk
d2 = abs( x[0] - (gbpos/rprimd[0][0] - 0.25) )
if find_close_to: closer = (np.linalg.norm(targetp - x) < dt_min)
else: closer = ( d2 < d2_min ) # and x[1]>0.3 and x[2]>0.3:
if closer:
dt_min = np.linalg.norm(targetp - x)
d2_min = d2
x2_min = x
i2_min = i
if find_close_to: print_and_log( "The closest pore to the target point is [ %.2f %.2f %.2f ]"%(x2_min[0], x2_min[1], x2_min[2]))
else: print_and_log( "The closest pore to the center of bulk has coordinates",x2_min)
st_result.xred.append( x2_min )
#Calculate volume of the pore using local balls:
print_and_log( "The number of bulk pore is ",i2_min," ; It has ",l_npores[i2_min], "local balls")
print_and_log( "Volume of pore is ", l_npores[i2_min] * a*a*a, " A^3")
st_result.xred.extend( l_pxred[i2_min] )
elif calctype == 'all_local':
st_result.name = "all_local_points_from "+name
v_max = 0
i_max = 0
for i in range(npores.value):
v_pore = l_npores[i] * aaa
print_and_log( "Volume of pore is ", l_npores[i] * aaa, " A^3")
if v_pore > v_max: v_max = v_pore; i_max = i
print_and_log( "Pore number ", i_max,"has the largest volume ", v_max," A^3")
# st_result.xred = l_pxred[i_max] # here coordinates of all local points to show geometry of pore with largerst volume
st_result.xred = [x for group in l_pxred for x in group ] # all pores
elif calctype == 'all_pores':
st_result.name = "all_local_pores_from "+name
st_result.xred = pxred
st_result.xcart = xred2xcart(st_result.xred, rprimd)
st_result.typat = [1 for x in st_result.xred]
st_result.natom = len(st_result.typat)
st_result.znucl = [200]
st_ntypat = 1
return st_result
def write_geometry_files(
dlist,
in_calc,
xcart_pores,
segtyp,
take_final_rprimd_from=None,
add_name_before="",
tlist=[],
configver=False,
add_typat=None,
):
"""Creating files
dlist - list of pairs with distances and numbers
in_calc - base calculation without pores
tlist - list of additional atoms in the case of triples; list of structures
configver - if True each configuration saved as a new version
add_typat - manually determined; please automatize!
"""
print "Warning! add_typat", add_typat
if tlist == []: # convert dlist to tlist - to do earlier
for el in dlist:
config = Structure()
config.name = el[2]
config.length = el[0]
config.typat = add_typat
config.xcart = [el[7], el[8]]
tlist.append(config)
for i, el in enumerate(tlist): # by all found structures
print "el name is ", el.name
stn = copy.deepcopy(in_calc.init)
calc = copy.deepcopy(in_calc)
stn.typat.extend(el.typat)
stn.xcart.extend(el.xcart)
stn.xred = xcart2xred(stn.xcart, stn.rprimd)
xcart_check = xred2xcart(stn.xred, stn.rprimd)
assert len(xcart_check) == len(stn.xcart) # test
assert all(
[all(np.around(v1, 8) == np.around(v2, 8)) for (v1, v2) in zip(stn.xcart, xcart_check)]
) # check if xcart2xred(stn.xcart,r) and xred2xcart(stn.xred,r) are working correctly up to the eight digits after
stn.natom = len(stn.xcart)
"""Adapt new rprimd"""
print "take final rprimd is ", take_final_rprimd_from
if take_final_rprimd_from: # read final rprimd and version
print "Start to read rprimd and version from " + take_final_rprimd_from
in_calc_rprimd = CalculationVasp()
in_calc_rprimd.name = "temp"
in_calc_rprimd.read_geometry(take_final_rprimd_from)
stn.rprimd = in_calc_rprimd.init.rprimd
stn.xcart = xred2xcart(stn.xred, stn.rprimd)
calc.version = in_calc_rprimd.version
elif configver:
calc.version = i + 1
calc.init = stn
des = (
" was obtained by the insertion of C-O pair into "
+ in_calc_name
+ "; final vectors taken from corresponding ver"
)
calc.build.ipairlen = el.length # Initial length of pair
if not hasattr(calc.build, "nadded") or calc.build.nadded == None:
calc.build.nadded = 2
else:
calc.build.nadded += 2
if not hasattr(calc.build, "listadded") or calc.build.listadded == [None]:
calc.build.listadded = range(stn.natom - 2, stn.natom) # list of atoms which were added
else:
calc.build.listadded.extend(range(stn.natom - 2, stn.natom))
structure_name = calc.name + el.name.split(".")[0]
# calc.name = add_name_before+calc.name+ '.' +el[2]+'.'+str(calc.version)
print "Structure_name", structure_name
if structure_name in struct_des:
if configver:
fname = structure_name # calc.name+'C2O2'
calc.path["input_geo"] = (
geo_folder
+ struct_des[fname].sfolder
+ "/"
+ fname
+ "/"
+ structure_name
+ "."
+ segtyp
+ "."
+ str(calc.version)
+ ".geo"
)
else:
calc.path["input_geo"] = (
geo_folder
+ struct_des[structure_name].sfolder
+ "/"
+ structure_name
+ "/"
+ structure_name
+ "."
+ segtyp
+ "."
+ str(calc.version)
+ ".geo"
)
print "write geo to ", calc.path["input_geo"]
calc.write_geometry("init", des)
print "write_geometry_files(): name ", el.name
stn.name = add_name_before + calc.name + "" + str(el.name) + "." + str(calc.version)
# stn = replic(stn, (1,2,2))
write_xyz(stn)
print "__________________________\n\n\n"
return
def write_geometry_files(dlist,
in_calc,
xcart_pores,
segtyp,
take_final_rprimd_from=None,
add_name_before='',
tlist=[],
configver=False,
add_typat=None):
"""Creating files
dlist - list of pairs with distances and numbers
in_calc - base calculation without pores
tlist - list of additional atoms in the case of triples; list of structures
configver - if True each configuration saved as a new version
add_typat - manually determined; please automatize!
"""
print "Warning! add_typat", add_typat
if tlist == []: #convert dlist to tlist - to do earlier
for el in dlist:
config = Structure()
config.name = el[2]
config.length = el[0]
config.typat = add_typat
config.xcart = [el[7], el[8]]
tlist.append(config)
for i, el in enumerate(tlist): #by all found structures
print "el name is ", el.name
stn = copy.deepcopy(in_calc.init)
calc = copy.deepcopy(in_calc)
stn.typat.extend(el.typat)
stn.xcart.extend(el.xcart)
stn.xred = xcart2xred(stn.xcart, stn.rprimd)
xcart_check = xred2xcart(stn.xred, stn.rprimd)
assert len(xcart_check) == len(stn.xcart) #test
assert all(
[
all(np.around(v1, 8) == np.around(v2, 8))
for (v1, v2) in zip(stn.xcart, xcart_check)
]
) #check if xcart2xred(stn.xcart,r) and xred2xcart(stn.xred,r) are working correctly up to the eight digits after
stn.natom = len(stn.xcart)
"""Adapt new rprimd"""
print "take final rprimd is ", take_final_rprimd_from
if take_final_rprimd_from: #read final rprimd and version
print "Start to read rprimd and version from " + take_final_rprimd_from
in_calc_rprimd = CalculationVasp()
in_calc_rprimd.name = 'temp'
in_calc_rprimd.read_geometry(take_final_rprimd_from)
stn.rprimd = in_calc_rprimd.init.rprimd
stn.xcart = xred2xcart(stn.xred, stn.rprimd)
calc.version = in_calc_rprimd.version
elif configver:
calc.version = i + 1
calc.init = stn
des = ' was obtained by the insertion of C-O pair into ' + in_calc_name + '; final vectors taken from corresponding ver'
calc.build.ipairlen = el.length # Initial length of pair
if not hasattr(calc.build, 'nadded') or calc.build.nadded == None:
calc.build.nadded = 2
else:
calc.build.nadded += 2
if not hasattr(calc.build,
'listadded') or calc.build.listadded == [None]:
calc.build.listadded = range(
stn.natom - 2, stn.natom) #list of atoms which were added
else:
calc.build.listadded.extend(range(stn.natom - 2, stn.natom))
structure_name = calc.name + el.name.split('.')[0]
#calc.name = add_name_before+calc.name+ '.' +el[2]+'.'+str(calc.version)
print 'Structure_name', structure_name
if structure_name in struct_des:
if configver:
fname = structure_name # calc.name+'C2O2'
calc.path["input_geo"] = geo_folder + struct_des[
fname].sfolder + '/' + fname + '/' + structure_name + '.' + segtyp + '.' + str(
calc.version) + '.geo'
else:
calc.path["input_geo"] = geo_folder + struct_des[
structure_name].sfolder + '/' + structure_name + '/' + structure_name + '.' + segtyp + '.' + str(
calc.version) + '.geo'
print "write geo to ", calc.path["input_geo"]
calc.write_geometry('init', des)
print "write_geometry_files(): name ", el.name
stn.name = add_name_before + calc.name + '' + str(
el.name) + '.' + str(calc.version)
#stn = replic(stn, (1,2,2))
write_xyz(stn)
print "__________________________\n\n\n"
return
def triples(addatom=("O", 3), dlist=[], tlist=[], in_calc=None, xcart_pores=[], max_dist_to_next_atom=3):
"""
Add addatom to all configurations in tlist;
addatom[1] - type of atom in typat
dlist - list of configurations with two impurity atoms; Used if tlist == []; the format of dlist is quiet special
tlist - list of configurations with arbirtary number of atoms;
RETURN:
tlist - list of configurations with add atoms
"""
st = in_calc.init
if dlist and tlist == []:
for el in dlist:
par = el
print "pair 1", par,
x1 = par[7]
x2 = par[8]
print "x1 = ", x1
print "x2 = ", x2
config = Structure()
config.xcart = [x1, x2]
config.typat = [2, 3]
config.name = el[2]
tlist.append(config)
tlist_new = []
for config in tlist:
xcart = config.xcart
typat = config.typat
name = config.name
print "\n\n\nStart to adding atom to ", name
i = 1
dlistlist = []
diffprec = 0.001
[dlistlist.append([]) for x in xcart]
print len(dlistlist)
for xpor in xcart_pores:
skip = True
for j, x in enumerate(xcart): # list of 2 or 3 initial atoms to which additional atom will be added
if all(np.around(xpor, 5) == np.around(x, 5)):
skip = True
break
d1, d2 = image_distance(x, xpor, st.rprimd, 2) # the minimum distance and the next minimum dist
if d1 > max_dist_to_next_atom:
skip = True
break # if only one pore is larger from atom than limit, the pore is skiped
# suml = d11+d21+par[0]
# for dl in dlistlist:
# print 'j is ', j
i_min, smaller = min_diff(
d1, dlistlist[j], diffprec
) # old condition - bad - removes unique configurations
# if smaller: skip = True; continue # symmetrical pores deleted
dlistlist[j].append(d1)
skip = False # all conditions are fullfilled - this configuration is unique
# else:
# print 'List of distances to atoms'
if skip:
continue #
# print "Pore can be used", xpor #sum of distances for triple
new = Structure()
new.name = name + addatom[0] + str(i)
new.xcart = copy.deepcopy(xcart)
new.xcart.append(xpor)
new.typat = copy.deepcopy(typat)
new.typat.append(addatom[1])
# print 'new.typat =', new.typat
# calculate sum of lengths
new.length = 0
new.lengthCO = 0
new.lengthCC = 0
new.lengthOO = 0
new.xcartC = []
new.xcartO = []
for m, x1 in enumerate(new.xcart):
if new.typat[m] == 2:
new.xcartC.append(x1)
if new.typat[m] == 3:
new.xcartO.append(x1)
for x2 in new.xcart:
d1, d2 = image_distance(x1, x2, st.rprimd, 2)
new.length += d1
for xC in new.xcartC:
for xO in new.xcartO:
d1, d2 = image_distance(xC, xO, st.rprimd, 2)
new.lengthCO += d1
for xC1 in new.xcartC:
for xC2 in new.xcartC:
d1, d2 = image_distance(xC1, xC2, st.rprimd, 2)
new.lengthCC += d1
for xO1 in new.xcartO:
for xO2 in new.xcartO:
d1, d2 = image_distance(xO1, xO2, st.rprimd, 2)
new.lengthOO += d1
skip = False
n = len(new.xcart)
"""additional conditions to leave only unique configurations"""
for config in tlist_new:
if 1:
nr = 0
for (v1, t1) in zip(new.xcart, new.typat):
for (v2, t2) in zip(config.xcart, config.typat):
if all(np.around(v1, 8) == np.around(v2, 8)) and t1 == t2:
nr += 1
if nr == n:
print "The configurations", new.name, "and", config.name, "consist of the same atoms, continue"
skip = True
break
# print all([ all( np.around(v1, 8) == np.around(v2, 8) ) for (v1, v2) in zip(new.xcart, config.xcart) ])
# check identity using sum of distances
# i_min, smaller = min_diff(config.length, [new.length], diffprec)
# if smaller:
# print "Configuration ", new.name, "has the same sum of lengths as", config.name
i_min, smaller1 = min_diff(config.lengthCO, [new.lengthCO], diffprec)
i_min, smaller2 = min_diff(config.lengthCC, [new.lengthCC], diffprec)
i_min, smaller3 = min_diff(config.lengthOO, [new.lengthOO], diffprec)
# print 'Compare', new.name, config.name, smaller1, smaller2, smaller3
if smaller1 and smaller2 and smaller3:
print "\nConfiguration ", new.name, "has the same sum of C-O, C-C and O-O lengths as", config.name
print
skip = True
break
if skip:
continue
print "\nSum of CO lengths in :", new.name, new.lengthCC, new.lengthOO, new.lengthCO
tlist_new.append(new)
i += 1
return tlist_new
def triples(addatom=('O', 3),
dlist=[],
tlist=[],
in_calc=None,
xcart_pores=[],
max_dist_to_next_atom=3):
"""
Add addatom to all configurations in tlist;
addatom[1] - type of atom in typat
dlist - list of configurations with two impurity atoms; Used if tlist == []; the format of dlist is quiet special
tlist - list of configurations with arbirtary number of atoms;
RETURN:
tlist - list of configurations with add atoms
"""
st = in_calc.init
if dlist and tlist == []:
for el in dlist:
par = el
print 'pair 1', par,
x1 = par[7]
x2 = par[8]
print 'x1 = ', x1
print 'x2 = ', x2
config = Structure()
config.xcart = [x1, x2]
config.typat = [2, 3]
config.name = el[2]
tlist.append(config)
tlist_new = []
for config in tlist:
xcart = config.xcart
typat = config.typat
name = config.name
print '\n\n\nStart to adding atom to ', name
i = 1
dlistlist = []
diffprec = 0.001
[dlistlist.append([]) for x in xcart]
print len(dlistlist)
for xpor in xcart_pores:
skip = True
for j, x in enumerate(
xcart
): # list of 2 or 3 initial atoms to which additional atom will be added
if all(np.around(xpor, 5) == np.around(x, 5)):
skip = True
break
d1, d2 = image_distance(
x, xpor, st.rprimd,
2) # the minimum distance and the next minimum dist
if d1 > max_dist_to_next_atom:
skip = True
break #if only one pore is larger from atom than limit, the pore is skiped
# suml = d11+d21+par[0]
# for dl in dlistlist:
# print 'j is ', j
i_min, smaller = min_diff(
d1, dlistlist[j], diffprec
) #old condition - bad - removes unique configurations
#if smaller: skip = True; continue # symmetrical pores deleted
dlistlist[j].append(d1)
skip = False # all conditions are fullfilled - this configuration is unique
# else:
# print 'List of distances to atoms'
if skip: continue #
#print "Pore can be used", xpor #sum of distances for triple
new = Structure()
new.name = name + addatom[0] + str(i)
new.xcart = copy.deepcopy(xcart)
new.xcart.append(xpor)
new.typat = copy.deepcopy(typat)
new.typat.append(addatom[1])
# print 'new.typat =', new.typat
#calculate sum of lengths
new.length = 0
new.lengthCO = 0
new.lengthCC = 0
new.lengthOO = 0
new.xcartC = []
new.xcartO = []
for m, x1 in enumerate(new.xcart):
if new.typat[m] == 2: new.xcartC.append(x1)
if new.typat[m] == 3: new.xcartO.append(x1)
for x2 in new.xcart:
d1, d2 = image_distance(x1, x2, st.rprimd, 2)
new.length += d1
for xC in new.xcartC:
for xO in new.xcartO:
d1, d2 = image_distance(xC, xO, st.rprimd, 2)
new.lengthCO += d1
for xC1 in new.xcartC:
for xC2 in new.xcartC:
d1, d2 = image_distance(xC1, xC2, st.rprimd, 2)
new.lengthCC += d1
for xO1 in new.xcartO:
for xO2 in new.xcartO:
d1, d2 = image_distance(xO1, xO2, st.rprimd, 2)
new.lengthOO += d1
skip = False
n = len(new.xcart)
"""additional conditions to leave only unique configurations"""
for config in tlist_new:
if 1:
nr = 0
for (v1, t1) in zip(new.xcart, new.typat):
for (v2, t2) in zip(config.xcart, config.typat):
if all(np.around(v1, 8) == np.around(
v2, 8)) and t1 == t2:
nr += 1
if nr == n:
print "The configurations", new.name, 'and', config.name, 'consist of the same atoms, continue'
skip = True
break
# print all([ all( np.around(v1, 8) == np.around(v2, 8) ) for (v1, v2) in zip(new.xcart, config.xcart) ])
#check identity using sum of distances
# i_min, smaller = min_diff(config.length, [new.length], diffprec)
# if smaller:
# print "Configuration ", new.name, "has the same sum of lengths as", config.name
i_min, smaller1 = min_diff(config.lengthCO, [new.lengthCO],
diffprec)
i_min, smaller2 = min_diff(config.lengthCC, [new.lengthCC],
diffprec)
i_min, smaller3 = min_diff(config.lengthOO, [new.lengthOO],
diffprec)
# print 'Compare', new.name, config.name, smaller1, smaller2, smaller3
if smaller1 and smaller2 and smaller3:
print "\nConfiguration ", new.name, "has the same sum of C-O, C-C and O-O lengths as", config.name
print
skip = True
break
if skip: continue
print '\nSum of CO lengths in :', new.name, new.lengthCC, new.lengthOO, new.lengthCO
tlist_new.append(new)
i += 1
return tlist_new