def toWater(coord, cell):
logger = logging.getLogger()
dmin = shortest_distance(coord, cell) * 1.4
grid = pl.determine_grid(cell, dmin)
pairs = pl.pairs_fine(coord, dmin, cell, grid, distance=False)
for vtet, dtet in tetrahedra(pairs, dmin, coord, cell):
p = dtet[0] + (dtet[1] + dtet[2] + dtet[3]) / 4
p -= np.floor(p)
yield p
def toWater(coord, cell, tolerance=1.4):
"""
cell: cell matrix (first row == a)
coord: relative coord of the cage position
"""
logger = logging.getLogger()
dmin = shortest_distance(coord, cell) * tolerance
grid = pl.determine_grid(cell, dmin)
pairs = pl.pairs_fine(coord, dmin, cell, grid, distance=False)
for vtet, dtet in tetrahedra(pairs, dmin, coord, cell):
p = dtet[0] + (dtet[1] + dtet[2] + dtet[3]) / 4
p -= np.floor(p)
yield p
def __init__(
self,
lat,
argv,
density=0,
rep=(1, 1, 1),
cations=dict(),
anions=dict(),
spot_guests=dict(),
spot_groups=dict(),
asis=False,
):
self.logger = getLogger()
self.rep = rep
self.asis = asis
self.cations = cations
self.anions = anions
self.spot_guests = spot_guests
self.spot_groups = spot_groups
# Show the document of the module
try:
self.doc = lat.__doc__.splitlines()
except BaseException:
self.doc = []
self.doc.append("")
self.doc.append("Command line: {0}".format(" ".join(argv)))
for line in self.doc:
self.logger.info(" " + line)
# ================================================================
# rotmatrices (analice)
#
try:
self.rotmatrices = lat.rotmat
except BaseException:
self.logger.info("No rotmatrices in lattice")
self.rotmatrices = None
# ================================================================
# waters: positions of water molecules
#
self.waters = put_in_array(lat.waters)
self.logger.debug("Waters: {0}".format(len(self.waters)))
self.waters = self.waters.reshape((self.waters.size // 3, 3))
# ================================================================
# cell: cell dimension
# see parse_cell for syntax.
#
self.cell = Cell(lat.cell)
# ================================================================
# coord: "relative" or "absolute"
# Inside genice, molecular positions are always treated as "relative"
#
if lat.coord == "absolute":
self.waters = self.cell.abs2rel(self.waters)
self.waters = np.array([w - np.floor(w) for w in self.waters])
# ================================================================
# pairs: specify the pairs of molecules that are connected.
# Bond orientation will be shuffled later
# unless it is "fixed".
#
self.pairs = None
try:
self.pairs = parse_pairs(lat.pairs)
except AttributeError:
self.logger.info("HB connectivity is not defined.")
# ================================================================
# bondlen: specify the bond length threshold.
# This is used when "pairs" are not specified.
# It is applied to the original positions of molecules (before density setting).
#
nmol = self.waters.shape[0] # nmol in a unit cell
volume = self.cell.volume() # volume of a unit cell in nm**3
self.bondlen = None
try:
self.bondlen = lat.bondlen
self.logger.info("Bond length (specified): {0}".format(
self.bondlen))
except AttributeError:
self.logger.debug(" Estimating the bond threshold length...")
# assume that the particles distribute homogeneously.
rc = (volume / nmol)**(1 / 3) * 1.5
grid = pl.determine_grid(self.cell.mat, rc)
p = pl.pairs_fine(self.waters,
rc,
self.cell.mat,
grid,
distance=False)
self.bondlen = 1.1 * shortest_distance(
self.waters, self.cell, pairs=p)
self.logger.info("Bond length (estim.): {0}".format(self.bondlen))
# Set density
mass = 18 # water
NB = 6.022e23
density0 = mass * nmol / (NB * volume * 1e-21)
if density <= 0:
try:
self.density = lat.density
except AttributeError:
self.logger.info(
"Density is not specified. Assume the density from lattice."
)
dmin = shortest_distance(self.waters, self.cell)
self.logger.info(
"Closest pair distance: {0} (should be around 0.276 nm)".
format(dmin))
self.density = density0 / (0.276 / dmin)**3
# self.density = density0
else:
self.density = density
self.logger.info("Target Density: {0}".format(self.density))
self.logger.info("Original Density: {0}".format(density0))
# scale the cell according to the (specified) density
ratio = (density0 / self.density)**(1.0 / 3.0)
self.cell.scale(ratio)
if self.bondlen is not None:
self.bondlen *= ratio
self.logger.info("Bond length (scaled, nm): {0}".format(self.bondlen))
# ================================================================
# double_network: True or False
# This is a special option for ices VI and VII that have
# interpenetrating double network.
# GenIce's fast depolarization algorithm fails in some case.
#
try:
self.double_network = lat.double_network
except AttributeError:
self.double_network = False
# ================================================================
# cages: positions of the centers of cages
# In fractional coordinate.
#
self.cagepos = None
self.cagetype = None
if "cages" in lat.__dict__:
self.cagepos, self.cagetype = parse_cages(lat.cages)
self.logger.warn(
"Use of 'cages' in a lattice-plugin is deprecated.")
elif "cagepos" in lat.__dict__:
# pre-parsed data
self.cagepos, self.cagetype = np.array(lat.cagepos), lat.cagetype
# ================================================================
# fixed: specify the bonds whose directions are fixed.
# you can specify them in pairs at a time.
# You can also leave it undefined.
#
self.fixed = []
try:
self.fixed = parse_pairs(lat.fixed)
self.logger.info("Orientations of some edges are fixed.")
except AttributeError:
pass
if "dopeIonsToUnitCell" in lat.__dict__:
self.dopeIonsToUnitCell = lat.dopeIonsToUnitCell
else:
self.dopeIonsToUnitCell = None
self.dopants = set()
# if asis, make pairs to be fixed.
if self.asis and len(self.fixed) == 0:
self.fixed = self.pairs
# filled cages
self.filled_cages = set()
# groups info
self.groups = defaultdict(dict)
# groups for the semi-guest
# experimental; there are many variation of semi-guest inclusion.
self.groups_placer = {
"Bu-": butyl,
"Butyl-": butyl,
"Pentyl-": pentyl,
"Propyl-": propyl,
"2,2-dimethylpropyl-": _2_2_dimethylpropyl,
"2,3-dimethylbutyl-": _2_3_dimethylbutyl,
"3,3-dimethylbutyl-": _3_3_dimethylbutyl,
"3-methylbutyl-": _3_methylbutyl,
"Ethyl-": ethyl
}
def prepare_random_graph(self, fixed):
if self.pairs is None:
self.logger.info(" Pairs are not given explicitly.")
self.logger.info(
" Estimating the bonds according to the pair distances.")
self.logger.debug("Bondlen: {0}".format(self.bondlen))
# make bonded pairs according to the pair distance.
# make before replicating them.
grid = pl.determine_grid(self.cell.mat, self.bondlen)
assert np.product(
grid
) > 0, "Too thin unit cell. Consider use of --rep option if the cell was made by cif2ice."
self.pairs = pl.pairs_fine(self.waters,
self.bondlen,
self.cell.mat,
grid,
distance=False)
# self.pairs = [v for v in zip(j0,j1)]
# Check using a simpler algorithm.
# Do not use it for normal debug because it is too slow
if False: # self.logger.level <= logging.DEBUG:
pairs1 = self.pairs
pairs2 = [
v for v in pl.pairs_crude(self.waters,
self.bondlen,
self.cell.mat,
distance=False)
]
self.logger.debug("pairs1: {0}".format(len(pairs1)))
self.logger.debug("pairs2: {0}".format(len(pairs2)))
for pair in pairs1:
i, j = pair
assert (i, j) in pairs2 or (j, i) in pairs2
for pair in pairs2:
i, j = pair
assert (i, j) in pairs1 or (j, i) in pairs1
graph = dg.IceGraph()
if fixed is not None:
for i, j in fixed:
graph.add_edge(i, j, fixed=True)
# Fixed pairs are default.
for pair in self.pairs:
i, j = pair
if graph.has_edge(i, j) or graph.has_edge(j, i):
pass
else:
if random.randint(0, 1) == 0:
graph.add_edge(i, j, fixed=False)
else:
graph.add_edge(j, i, fixed=False)
self.logger.info(" Number of water nodes: {0}".format(
graph.number_of_nodes()))
return graph
def main():
gro = open(sys.argv[1])
box, atoms = LoadGRO(gro)
ratoms = atoms/box
cellmat = np.diag(box)
page1 = ""
page2 = ""
page3 = ""
page4 = ""
page1 += yp.Size(0.05)
grid = None
while True:
line = sys.stdin.readline() #expect *.smatch result of slide-matcher2
if len(line) == 0:
break
cols = line.split()
if len(cols)<7:
break # broken line; maybe end of the file.
i,j = [int(x) for x in cols[:2]]
rad, dx,dy,dz, rmsd = [float(x) for x in cols[2:]]
if grid is None:
grid = pairlist.determine_grid(cellmat, rad)
lastrad = rad
p,q,r = pairlist.pairs_fine(ratoms, rad, cellmat, grid, distance=True, raw=True)
g = nx.Graph()
for k,pq in enumerate(zip(p,q)):
p,q = pq
g.add_edge(p,q,length=r[k])
else:
assert lastrad == rad
d = np.array([dx,dy,dz])
if rmsd < 0.09: # 0.09 for hyper ice T
# page 1: displacement vectors
page1 += yp.Line(atoms[i], atoms[i]+d)
page1 += yp.Circle(atoms[j])
# pages 2: displacement vectors (centered)
page2 += yp.Size(0.05)
page2 += yp.Line(np.zeros(3), d)
page2 += yp.Circle(d)
page2 += yp.Text(d, "{0} {1}".format(i,j))
# page 3..: matching
s = ""
s += yp.Size(0.05)
s += yp.Layer(1)
s += yp.Color(3)
for ni in g[i]:
s += yp.Circle(atoms[ni])
s += yp.Layer(2)
s += yp.Color(4)
for nj in g[j]:
s += yp.Circle(atoms[nj]-atoms[j]+atoms[i])
page3 += s
s = ""
s += yp.Size(0.05)
s += yp.Layer(1)
s += yp.Color(3)
for ni in g[i]:
s += yp.Circle(atoms[ni]-atoms[i])
s += yp.Layer(2)
s += yp.Color(4)
for nj in g[j]:
s += yp.Circle(atoms[nj]-atoms[j])
page4 += s
page4 += yp.NewPage()
print(page1)
print(page2)
print(page3)
print(page4)
def hook1(lattice):
lattice.logger.info("Hook1: Output sidewalls of water nanotubes in dtc-like ice in yaplot format.")
cellmat = lattice.repcell.mat
zoom = 100
axes = np.array([(1/8, 1/4), (5/8, 1/4), (3/8, 3/4), (7/8, 3/4)])
# max distance from the axis to the water monolayer
maxd = cellmat[0,0] / 4
radius = maxd - 0.276/2 # approx. radius of the water monolayer
plusd = maxd + 0.276 # second shell
grid = pl.determine_grid(cellmat, 0.3)
pairs = [(i,j) for i,j in pl.pairs_fine(lattice.reppositions, 0.3, cellmat, grid, distance=False)]
logger.debug(("PAIRS",len(pairs),cellmat,grid))
sx, sy = int(cellmat[2,2]*zoom),int(4*7*radius*zoom)
size = (sx//4*4, sy//4*4)
image = Image.new("RGB", size, '#fff')
draw = ImageDraw.Draw(image, "RGBA")
for j, axis in enumerate(axes):
dots = dict()
dots2 = dict()
for i, rpos in enumerate(lattice.reppositions):
rd = np.zeros(3)
rd[:2] = rpos[:2] - axis
rd -= np.floor(rd+0.5)
D = rd @ cellmat
if D@D < maxd**2:
a = atan2(D[1], D[0])+3.5
z = (rpos @ cellmat)[2]
c = a*radius
dot = np.array([z,c+j*7*radius])
#atom = rpos@cellmat
dots[i] = dot
elif D@D < plusd**2:
a = atan2(D[1], D[0])+3.5
z = (rpos @ cellmat)[2]
c = a*radius
dot = np.array([z,c+j*7*radius])
#atom = rpos@cellmat
dots2[i] = dot
alldots = {**dots, **dots2}
for p in dots2:
r = 0.04
tl = dots2[p] - r
br = dots2[p] + r
tl *= zoom
br *= zoom
draw.ellipse([int(x) for x in [tl[0], tl[1], br[0], br[1]]], fill='#f00')
for p,q in pairs:
if p in alldots and q in alldots and (p in dots2 or q in dots2):
pd = alldots[p] * zoom
qd = alldots[q] * zoom
D = pd-qd
if D@D < zoom**2:
draw.line([int(x) for x in [pd[0], pd[1], qd[0], qd[1]]], fill='#f00', width=2)
for p in dots:
r = 0.05
tl = dots[p] - r
br = dots[p] + r
tl *= zoom
br *= zoom
draw.ellipse([int(x) for x in [tl[0], tl[1], br[0], br[1]]], fill='#000')
for p,q in pairs:
if p in dots and q in dots:
pd = dots[p] * zoom
qd = dots[q] * zoom
D = pd-qd
if D@D < zoom**2:
draw.line([int(x) for x in [pd[0], pd[1], qd[0], qd[1]]], fill='#000', width=3)
imgByteArr = io.BytesIO()
tn_image = image.resize((image.width//2, image.height//2), Image.LANCZOS)
tn_image.save(imgByteArr, format='PNG')
imgByteArr = imgByteArr.getvalue()
sys.stdout.buffer.write(imgByteArr)
lattice.logger.info("Hook1: end.")
def hook7(lattice):
global options
logger = getLogger()
atomtypes = options["atomtypes"]
logger.info("Hook7: Output radial distribution functions.")
logger.info(" Total number of atoms: {0}".format(len(lattice.atoms)))
binw = 0.003
nbin = int(options["range"] / binw)
cellmat = lattice.repcell.mat
rpos = defaultdict(list)
for atom in lattice.atoms:
resno, resname, atomname, position, order = atom
alias = atomname
if len(atomtypes):
if atomname in atomtypes:
alias = atomtypes[atomname]
else:
continue
rpos[alias].append(lattice.repcell.abs2rel(position))
rdf = []
rdfname = []
volume = np.linalg.det(lattice.repcell.mat)
grid = pl.determine_grid(cellmat, binw * nbin)
logger.info(" {0}".format(rpos.keys()))
for atomname in rpos:
ra = rpos[atomname] = np.array(rpos[atomname])
na = ra.shape[0]
logger.info(" Pair {0}-{0}".format(atomname))
i, j, delta = pl.pairs_fine(ra,
binw * nbin,
cellmat,
grid,
distance=True,
raw=True)
delta = np.floor(delta / binw)
hist = dict(zip(*np.unique(delta, return_counts=True)))
rdfname.append((atomname, atomname))
rdf.append(hist2rdf(hist, volume, (na, ), binw, nbin))
for a, b in it.combinations(rpos, 2):
ra = rpos[a]
rb = rpos[b]
na = ra.shape[0]
nb = rb.shape[0]
logger.info(" Pair {0}-{1}".format(a, b))
i, j, delta = pl.pairs_fine_hetero(ra,
rb,
binw * nbin,
cellmat,
grid,
distance=True,
raw=True)
delta = np.floor(delta / binw)
hist = dict(zip(*np.unique(delta, return_counts=True)))
rdfname.append((a, b))
rdf.append(hist2rdf(hist, volume, (na, nb), binw, nbin))
if options["json"]:
D = dict()
D["r"] = [i * binw for i in range(1, nbin)]
for i, pair in enumerate(rdfname):
name = "{0}--{1}".format(*pair)
D[name] = [x for x in rdf[i]]
print(json.dumps(D, indent=2, sort_keys=True))
else:
print("# r/nm ",
"\t".join(["{0}-{1}".format(*name) for name in rdfname]))
for i in range(1, nbin):
values = [i * binw] + [r[i] for r in rdf]
print("\t".join(["{0:.3f}".format(v) for v in values]))
logger.info("Hook7: end.")
def main():
logging.basicConfig(level=logging.INFO,
format="%(asctime)s %(levelname)s %(message)s")
logger = logging.getLogger()
gro = open(sys.argv[1])
unitinfo = open(sys.argv[2])
logger.info("Loading {0}".format(sys.argv[1]))
box, atoms = LoadGRO(gro)
ratoms = atoms/box
cellmat = np.diag(box)
celli = np.linalg.inv(cellmat)
a,b,c = loadBOX9(unitinfo)
unitcell = np.vstack((a,b,c))
# print(unitcell)
uniti = np.linalg.inv(unitcell)
D = np.linalg.norm((a+b+c)/2)+0.3 # diag of the half cell.
grid = pl.determine_grid(cellmat, D)
# print(grid)
logger.info("Making the neighbor list.")
z = pl.pairs_fine(ratoms, D, cellmat, grid, distance=False)
g = nx.Graph(list(z))
logger.info("Reading smatch file.")
matched = defaultdict(list)
while True:
line = sys.stdin.readline() #expect *.smatch result of slide-matcher2
if len(line) == 0:
break
cols = line.split()
if len(cols)<7:
break # broken line; maybe end of the file.
i,j = [int(x) for x in cols[:2]]
rad, dx,dy,dz, rmsd = [float(x) for x in cols[2:]]
# d = np.array([dx,dy,dz])
# dL = np.linalg.norm(d)
if rmsd < 0.085: # 0.08 for T144
# 距離によらず、よく一致したペアのラベルを保存しておく。
matched[i].append(j)
matched[j].append(i)
# 一番いろんなところと似ていた原子kをさがす。
#上位10個について、それぞれ周辺原子分布を作り、平行移動して重ねる。
# うまくいくかどうかはわからない。
logger.info("Overlaying atomic configurations.")
order = sorted(matched, key=lambda x:len(matched[x]), reverse=True)
logger.info([len(matched[x]) for x in order[:10]])
gridsize = (32,32,12)
sumgrid = None
accum = 0
for k in order[:10]:
matched[k].append(k) # add itself
kL = len(matched[k])
logger.info("Champion: {0} with {1} neighbors.".format(k, kL))
grid = distribute(gridsize, matched[k], ratoms, cellmat, uniti, g)
sumgrid = slid_add(sumgrid, grid)
accum += kL
logger.info("{0} configurations collected.".format(accum))
# ここである程度対称性を整えてから出力するとあとが楽。
print("@GRID")
print(*gridsize)
for i in range(gridsize[0]):
for j in range(gridsize[1]):
for k in range(gridsize[2]):
print(sumgrid[i,j,k] / accum)
logger.info("Done.")