#!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#
#
# The symmetry detection method implemented here is not strictly follow the
# point group detection flowchart. The detection is based on the degeneracy
# of cartesian basis of multipole momentum, eg
# http://symmetry.jacobs-university.de/cgi-bin/group.cgi?group=604&option=4
# see the column of "linear functions, quadratic functions and cubic functions".
#
# Different point groups have different combinations of degeneracy for each
# type of cartesian functions. Based on the degeneracy of cartesian function
# basis, one can quickly filter out a few candidates of point groups for the
# given molecule. Regular operations (rotation, mirror etc) can be applied
# then to identify the symmetry. Current implementation only checks the
# rotation functions and it's roughly enough for D2h and subgroups.
#
# There are special cases this detection method may break down, eg two H8 cube
# molecules sitting on the same center but with random orientation. The
# system is in C1 while this detection method gives O group because the
# 3 rotation bases are degenerated. In this case, the code use the regular
# method (point group detection flowchart) to detect the point group.
#
import sys
import re
import numpy
import scipy.linalg
from pyscf.gto import mole
from pyscf.lib import norm
from pyscf.lib import logger
from pyscf.lib.exceptions import PointGroupSymmetryError
from pyscf.symm.param import OPERATOR_TABLE
from pyscf import __config__
TOLERANCE = getattr(__config__, 'symm_geom_tol', 1e-5)
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def parallel_vectors(v1, v2, tol=TOLERANCE):
if numpy.allclose(v1, 0, atol=tol) or numpy.allclose(v2, 0, atol=tol):
return True
else:
cos = numpy.dot(_normalize(v1), _normalize(v2))
return (abs(cos-1) < TOLERANCE) | (abs(cos+1) < TOLERANCE)
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def argsort_coords(coords, decimals=None):
if decimals is None:
decimals = int(-numpy.log10(TOLERANCE)) - 1
coords = numpy.around(coords, decimals=decimals)
idx = numpy.lexsort((coords[:,2], coords[:,1], coords[:,0]))
return idx
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def sort_coords(coords, decimals=None):
if decimals is None:
decimals = int(-numpy.log10(TOLERANCE)) - 1
coords = numpy.asarray(coords)
idx = argsort_coords(coords, decimals=decimals)
return coords[idx]
# ref. http://en.wikipedia.org/wiki/Rotation_matrix
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def rotation_mat(vec, theta):
'''rotate angle theta along vec
new(x,y,z) = R * old(x,y,z)'''
vec = _normalize(vec)
uu = vec.reshape(-1,1) * vec.reshape(1,-1)
ux = numpy.array((
( 0 ,-vec[2], vec[1]),
( vec[2], 0 ,-vec[0]),
(-vec[1], vec[0], 0 )))
c = numpy.cos(theta)
s = numpy.sin(theta)
r = c * numpy.eye(3) + s * ux + (1-c) * uu
return r
# reflection operation with householder
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def householder(vec):
vec = _normalize(vec)
return numpy.eye(3) - vec[:,None]*vec*2
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def closest_axes(axes, ref):
xcomp, ycomp, zcomp = numpy.einsum('ix,jx->ji', axes, ref)
zmax = numpy.amax(abs(zcomp))
zmax_idx = numpy.where(abs(abs(zcomp)-zmax)<TOLERANCE)[0]
z_id = numpy.amax(zmax_idx)
#z_id = numpy.argmax(abs(zcomp))
xcomp[z_id] = ycomp[z_id] = 0 # remove z
xmax = numpy.amax(abs(xcomp))
xmax_idx = numpy.where(abs(abs(xcomp)-xmax)<TOLERANCE)[0]
x_id = numpy.amax(xmax_idx)
#x_id = numpy.argmax(abs(xcomp))
ycomp[x_id] = 0 # remove x
y_id = numpy.argmax(abs(ycomp))
return x_id, y_id, z_id
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def alias_axes(axes, ref):
'''Rename axes, make it as close as possible to the ref axes
'''
x_id, y_id, z_id = closest_axes(axes, ref)
new_axes = axes[[x_id,y_id,z_id]]
if numpy.linalg.det(new_axes) < 0:
new_axes = axes[[y_id,x_id,z_id]]
return new_axes
def _adjust_planar_c2v(atom_coords, axes):
'''Adjust axes for planar molecules'''
# Following http://iopenshell.usc.edu/resources/howto/symmetry/
# See also discussions in issue #1201
# * planar C2v molecules should be oriented such that the X axis is perpendicular
# to the plane of the molecule, and the Z axis is the axis of symmetry;
natm = len(atom_coords)
tol = TOLERANCE / numpy.sqrt(1+natm)
atoms_on_xz = abs(atom_coords.dot(axes[1])) < tol
if all(atoms_on_xz):
# rotate xy
axes = numpy.array([-axes[1], axes[0], axes[2]])
return axes
def _adjust_planar_d2h(atom_coords, axes):
'''Adjust axes for planar molecules'''
# Following http://iopenshell.usc.edu/resources/howto/symmetry/
# See also discussions in issue #1201
# * planar D2h molecules should be oriented such that the X axis is
# perpendicular to the plane of the molecule, and the Z axis passes through
# the greatest number of atoms.
natm = len(atom_coords)
tol = TOLERANCE / numpy.sqrt(1+natm)
natm_with_x = numpy.count_nonzero(abs(atom_coords.dot(axes[0])) > tol)
natm_with_y = numpy.count_nonzero(abs(atom_coords.dot(axes[1])) > tol)
natm_with_z = numpy.count_nonzero(abs(atom_coords.dot(axes[2])) > tol)
if natm_with_z == 0: # atoms on xy plane
if natm_with_x >= natm_with_y: # atoms-on-y >= atoms-on-x
# rotate xz
axes = numpy.array([-axes[2], axes[1], axes[0]])
else:
# rotate xy then rotate xz
axes = numpy.array([axes[2], axes[0], axes[1]])
elif natm_with_y == 0: # atoms on xz plane
if natm_with_x >= natm_with_z: # atoms-on-z >= atoms-on-x
# rotate xy
axes = numpy.array([-axes[1], axes[0], axes[2]])
else:
# rotate xz then rotate xy
axes = numpy.array([axes[1], axes[2], axes[0]])
elif natm_with_x == 0: # atoms on yz plane
if natm_with_y < natm_with_z: # atoms-on-z < atoms-on-y
# rotate yz
axes = numpy.array([axes[0], -axes[2], axes[1]])
return axes
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def detect_symm(atoms, basis=None, verbose=logger.WARN):
'''Detect the point group symmetry for given molecule.
Return group name, charge center, and nex_axis (three rows for x,y,z)
'''
if isinstance(verbose, logger.Logger):
log = verbose
else:
log = logger.Logger(sys.stdout, verbose)
tol = TOLERANCE / numpy.sqrt(1+len(atoms))
decimals = int(-numpy.log10(tol))
log.debug('geometry tol = %g', tol)
rawsys = SymmSys(atoms, basis)
w1, u1 = rawsys.cartesian_tensor(1)
axes = u1.T
log.debug('principal inertia moments %s', w1)
charge_center = rawsys.charge_center
if numpy.allclose(w1, 0, atol=tol):
gpname = 'SO3'
return gpname, charge_center, numpy.eye(3)
elif numpy.allclose(w1[:2], 0, atol=tol): # linear molecule
if rawsys.has_icenter():
gpname = 'Dooh'
else:
gpname = 'Coov'
return gpname, charge_center, axes
else:
w1_degeneracy, w1_degen_values = _degeneracy(w1, decimals)
w2, u2 = rawsys.cartesian_tensor(2)
w2_degeneracy, w2_degen_values = _degeneracy(w2, decimals)
log.debug('2d tensor %s', w2)
n = None
c2x = None
mirrorx = None
if 3 in w1_degeneracy: # T, O, I
# Because rotation vectors Rx Ry Rz are 3-degenerated representation
# See http://www.webqc.org/symmetrypointgroup-td.html
w3, u3 = rawsys.cartesian_tensor(3)
w3_degeneracy, w3_degen_values = _degeneracy(w3, decimals)
log.debug('3d tensor %s', w3)
if (5 in w2_degeneracy and
4 in w3_degeneracy and len(w3_degeneracy) == 3): # I group
gpname, new_axes = _search_i_group(rawsys)
if gpname is not None:
return gpname, charge_center, _refine(new_axes)
elif 3 in w2_degeneracy and len(w2_degeneracy) <= 3: # T/O group
gpname, new_axes = _search_ot_group(rawsys)
if gpname is not None:
return gpname, charge_center, _refine(new_axes)
elif (2 in w1_degeneracy and
numpy.any(w2_degeneracy[w2_degen_values>0] >= 2)):
if numpy.allclose(w1[1], w1[2], atol=tol):
axes = axes[[1,2,0]]
n = rawsys.search_c_highest(axes[2])[1]
if n == 1:
n = None
else:
c2x = rawsys.search_c2x(axes[2], n)
mirrorx = rawsys.search_mirrorx(axes[2], n)
else:
n = -1 # tag as D2h and subgroup
# They must not be I/O/T group, at most one C3 or higher rotation axis
if n is None:
zaxis, n = rawsys.search_c_highest()
if n > 1:
c2x = rawsys.search_c2x(zaxis, n)
mirrorx = rawsys.search_mirrorx(zaxis, n)
if c2x is not None:
axes = _make_axes(zaxis, c2x)
elif mirrorx is not None:
axes = _make_axes(zaxis, mirrorx)
else:
for axis in numpy.eye(3):
if not parallel_vectors(axis, zaxis):
axes = _make_axes(zaxis, axis)
break
else: # Ci or Cs or C1 with degenerated w1
mirror = rawsys.search_mirrorx(None, 1)
if mirror is not None:
xaxis = numpy.array((1.,0.,0.))
axes = _make_axes(mirror, xaxis)
else:
axes = numpy.eye(3)
log.debug('Highest C_n = C%d', n)
if n >= 2:
if c2x is not None:
if rawsys.has_mirror(axes[2]):
gpname = 'D%dh' % n
elif rawsys.has_improper_rotation(axes[2], n):
gpname = 'D%dd' % n
else:
gpname = 'D%d' % n
# yaxis = numpy.cross(axes[2], c2x)
axes = _make_axes(axes[2], c2x)
elif mirrorx is not None:
gpname = 'C%dv' % n
axes = _make_axes(axes[2], mirrorx)
elif rawsys.has_mirror(axes[2]):
gpname = 'C%dh' % n
elif rawsys.has_improper_rotation(axes[2], n):
gpname = 'S%d' % (n*2)
else:
gpname = 'C%d' % n
return gpname, charge_center, _refine(axes)
else:
is_c2x = rawsys.has_rotation(axes[0], 2)
is_c2y = rawsys.has_rotation(axes[1], 2)
is_c2z = rawsys.has_rotation(axes[2], 2)
# rotate to old axes, as close as possible?
if is_c2z and is_c2x and is_c2y:
if rawsys.has_icenter():
gpname = 'D2h'
# _adjust_planar_d2h is unlikely to be called
axes = _adjust_planar_d2h(rawsys.atom_coords, axes)
else:
gpname = 'D2'
axes = alias_axes(axes, numpy.eye(3))
elif is_c2z or is_c2x or is_c2y:
if is_c2x:
axes = axes[[1,2,0]]
if is_c2y:
axes = axes[[2,0,1]]
if rawsys.has_mirror(axes[2]):
gpname = 'C2h'
elif rawsys.has_mirror(axes[0]):
gpname = 'C2v'
axes = _adjust_planar_c2v(rawsys.atom_coords, axes)
else:
gpname = 'C2'
else:
if rawsys.has_icenter():
gpname = 'Ci'
elif rawsys.has_mirror(axes[0]):
gpname = 'Cs'
axes = axes[[1,2,0]]
elif rawsys.has_mirror(axes[1]):
gpname = 'Cs'
axes = axes[[2,0,1]]
elif rawsys.has_mirror(axes[2]):
gpname = 'Cs'
else:
gpname = 'C1'
axes = numpy.eye(3)
charge_center = numpy.zeros(3)
return gpname, charge_center, axes
# reduce to D2h and its subgroups
# FIXME, CPL, 209, 506
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def get_subgroup(gpname, axes):
if gpname in ('D2h', 'D2' , 'C2h', 'C2v', 'C2' , 'Ci' , 'Cs' , 'C1'):
return gpname, axes
elif gpname in ('SO3',):
#return 'D2h', alias_axes(axes, numpy.eye(3))
return 'SO3', axes
elif gpname in ('Dooh',):
#return 'D2h', alias_axes(axes, numpy.eye(3))
return 'Dooh', axes
elif gpname in ('Coov',):
#return 'C2v', axes
return 'Coov', axes
elif gpname in ('Oh',):
return 'D2h', alias_axes(axes, numpy.eye(3))
elif gpname in ('O',):
return 'D2', alias_axes(axes, numpy.eye(3))
elif gpname in ('Ih',):
return 'Ci', alias_axes(axes, numpy.eye(3))
elif gpname in ('I',):
return 'C1', axes
elif gpname in ('Td', 'T', 'Th'):
return 'D2', alias_axes(axes, numpy.eye(3))
elif re.search(r'S\d+', gpname):
n = int(re.search(r'\d+', gpname).group(0))
if n % 2 == 0:
return 'C%d'%(n//2), axes
else:
return 'Ci', axes
else:
n = int(re.search(r'\d+', gpname).group(0))
if n % 2 == 0:
if re.search(r'D\d+d', gpname):
subname = 'D2'
elif re.search(r'D\d+h', gpname):
subname = 'D2h'
elif re.search(r'D\d+', gpname):
subname = 'D2'
elif re.search(r'C\d+h', gpname):
subname = 'C2h'
elif re.search(r'C\d+v', gpname):
subname = 'C2v'
else:
subname = 'C2'
else:
# rotate axes and
# Dnh -> C2v
# Dn -> C2
# Dnd -> Ci
# Cnh -> Cs
# Cnv -> Cs
if re.search(r'D\d+h', gpname):
subname = 'C2v'
axes = axes[[1,2,0]]
elif re.search(r'D\d+d', gpname):
subname = 'C2h'
axes = axes[[1,2,0]]
elif re.search(r'D\d+', gpname):
subname = 'C2'
axes = axes[[1,2,0]]
elif re.search(r'C\d+h', gpname):
subname = 'Cs'
elif re.search(r'C\d+v', gpname):
subname = 'Cs'
axes = axes[[1,2,0]]
else:
subname = 'C1'
return subname, axes
subgroup = get_subgroup
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def as_subgroup(topgroup, axes, subgroup=None):
from pyscf.symm import std_symb
from pyscf.symm.param import SUBGROUP
groupname, axes = get_subgroup(topgroup, axes)
if isinstance(subgroup, str):
subgroup = std_symb(subgroup)
if groupname == 'C2v' and subgroup == 'Cs':
axes = numpy.einsum('ij,kj->ki', rotation_mat(axes[1], numpy.pi/2), axes)
elif (groupname == 'D2' and re.search(r'D\d+d', topgroup) and
subgroup in ('C2v', 'Cs')):
# Special treatment for D2d, D4d, .... get_subgroup gives D2 by
# default while C2v is also D2d's subgroup.
groupname = 'C2v'
axes = numpy.einsum('ij,kj->ki', rotation_mat(axes[2], numpy.pi/4), axes)
elif topgroup in ('Td', 'T', 'Th') and subgroup == 'C2v':
x, y, z = axes
x = _normalize(x+y)
y = numpy.cross(z, x)
axes = numpy.array((x,y,z))
elif subgroup not in SUBGROUP[groupname]:
raise PointGroupSymmetryError('%s not in Ablien subgroup of %s' %
(subgroup, topgroup))
groupname = subgroup
return groupname, axes
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def symm_ops(gpname, axes=None):
if axes is not None:
raise PointGroupSymmetryError('TODO: non-standard orientation')
op1 = numpy.eye(3)
opi = -1
opc2z = -numpy.eye(3)
opc2z[2,2] = 1
opc2x = -numpy.eye(3)
opc2x[0,0] = 1
opc2y = -numpy.eye(3)
opc2y[1,1] = 1
opcsz = numpy.dot(opc2z, opi)
opcsx = numpy.dot(opc2x, opi)
opcsy = numpy.dot(opc2y, opi)
opdic = {'E' : op1,
'C2z': opc2z,
'C2x': opc2x,
'C2y': opc2y,
'i' : opi,
'sz' : opcsz, # the mirror perpendicular to z
'sx' : opcsx, # the mirror perpendicular to x
'sy' : opcsy,}
return opdic
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def symm_identical_atoms(gpname, atoms):
'''Symmetry identical atoms'''
# from pyscf import gto
# Dooh Coov for linear molecule
if gpname == 'Dooh':
coords = numpy.array([a[1] for a in atoms], dtype=float)
idx0 = argsort_coords(coords)
coords0 = coords[idx0]
opdic = symm_ops(gpname)
newc = numpy.dot(coords, opdic['sz'])
idx1 = argsort_coords(newc)
dup_atom_ids = numpy.sort((idx0,idx1), axis=0).T
uniq_idx = numpy.unique(dup_atom_ids[:,0], return_index=True)[1]
eql_atom_ids = dup_atom_ids[uniq_idx]
eql_atom_ids = [sorted(set(i)) for i in eql_atom_ids]
return eql_atom_ids
elif gpname == 'Coov':
eql_atom_ids = [[i] for i,a in enumerate(atoms)]
return eql_atom_ids
coords = numpy.array([a[1] for a in atoms])
# charges = numpy.array([gto.charge(a[0]) for a in atoms])
# center = numpy.einsum('z,zr->r', charges, coords)/charges.sum()
# if not numpy.allclose(center, 0, atol=TOLERANCE):
# sys.stderr.write('WARN: Molecular charge center %s is not on (0,0,0)\n'
# % center)
opdic = symm_ops(gpname)
ops = [opdic[op] for op in OPERATOR_TABLE[gpname]]
idx = argsort_coords(coords)
coords0 = coords[idx]
dup_atom_ids = []
for op in ops:
newc = numpy.dot(coords, op)
idx = argsort_coords(newc)
if not numpy.allclose(coords0, newc[idx], atol=TOLERANCE):
raise PointGroupSymmetryError('Symmetry identical atoms not found')
dup_atom_ids.append(idx)
dup_atom_ids = numpy.sort(dup_atom_ids, axis=0).T
uniq_idx = numpy.unique(dup_atom_ids[:,0], return_index=True)[1]
eql_atom_ids = dup_atom_ids[uniq_idx]
eql_atom_ids = [sorted(set(i)) for i in eql_atom_ids]
return eql_atom_ids
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def check_symm(gpname, atoms, basis=None):
'''
Check whether the declared symmetry (gpname) exists in the system
If basis is specified, this function checks also the basis functions have
the required symmetry.
Args:
gpname: str
point group name
atoms: list
[[symbol, [x, y, z]], [symbol, [x, y, z]], ...]
'''
#FIXME: compare the basis set when basis is given
if gpname == 'Dooh':
coords = numpy.array([a[1] for a in atoms], dtype=float)
if numpy.allclose(coords[:,:2], 0, atol=TOLERANCE):
opdic = symm_ops(gpname)
rawsys = SymmSys(atoms, basis)
return rawsys.has_icenter() and numpy.allclose(rawsys.charge_center, 0)
else:
return False
elif gpname == 'Coov':
coords = numpy.array([a[1] for a in atoms], dtype=float)
return numpy.allclose(coords[:,:2], 0, atol=TOLERANCE)
opdic = symm_ops(gpname)
ops = [opdic[op] for op in OPERATOR_TABLE[gpname]]
rawsys = SymmSys(atoms, basis)
for lst in rawsys.atomtypes.values():
coords = rawsys.atoms[lst,1:]
idx = argsort_coords(coords)
coords0 = coords[idx]
for op in ops:
newc = numpy.dot(coords, op)
idx = argsort_coords(newc)
if not numpy.allclose(coords0, newc[idx], atol=TOLERANCE):
return False
return True
check_given_symm = check_symm
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def shift_atom(atoms, orig, axis):
c = numpy.array([a[1] for a in atoms])
c = numpy.dot(c - orig, numpy.array(axis).T)
return [[atoms[i][0], c[i]] for i in range(len(atoms))]
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class RotationAxisNotFound(PointGroupSymmetryError):
pass
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class SymmSys:
def __init__(self, atoms, basis=None):
self.atomtypes = mole.atom_types(atoms, basis)
# fake systems, which treats the atoms of different basis as different atoms.
# the fake systems do not have the same symmetry as the potential
# it's only used to determine the main (Z-)axis
chg1 = numpy.pi - 2
coords = []
fake_chgs = []
idx = []
for k, lst in self.atomtypes.items():
idx.append(lst)
coords.append([atoms[i][1] for i in lst])
ksymb = mole._rm_digit(k)
if ksymb != k:
# Put random charges on the decorated atoms
fake_chgs.append([chg1] * len(lst))
chg1 *= numpy.pi-2
elif mole.is_ghost_atom(k):
if ksymb == 'X' or ksymb.upper() == 'GHOST':
fake_chgs.append([.3] * len(lst))
elif ksymb[0] == 'X':
fake_chgs.append([mole.charge(ksymb[1:])+.3] * len(lst))
elif ksymb[:5] == 'GHOST':
fake_chgs.append([mole.charge(ksymb[5:])+.3] * len(lst))
else:
fake_chgs.append([mole.charge(ksymb)] * len(lst))
coords = numpy.array(numpy.vstack(coords), dtype=float)
fake_chgs = numpy.hstack(fake_chgs)
self.charge_center = numpy.einsum('i,ij->j', fake_chgs, coords)/fake_chgs.sum()
coords = coords - self.charge_center
idx = numpy.argsort(numpy.hstack(idx))
self.atoms = numpy.hstack((fake_chgs.reshape(-1,1), coords))[idx]
self.group_atoms_by_distance = []
decimals = int(-numpy.log10(TOLERANCE)) - 1
for index in self.atomtypes.values():
index = numpy.asarray(index)
c = self.atoms[index,1:]
dists = numpy.around(norm(c, axis=1), decimals)
u, idx = numpy.unique(dists, return_inverse=True)
for i, s in enumerate(u):
self.group_atoms_by_distance.append(index[idx == i])
@property
def atom_coords(self):
return self.atoms[:,1:]
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def cartesian_tensor(self, n):
z = self.atoms[:,0]
r = self.atoms[:,1:]
ncart = (n+1)*(n+2)//2
natm = len(z)
tensor = numpy.sqrt(numpy.copy(z).reshape(natm,-1) / z.sum())
for i in range(n):
tensor = numpy.einsum('zi,zj->zij', tensor, r).reshape(natm,-1)
e, c = scipy.linalg.eigh(numpy.dot(tensor.T,tensor))
return e[-ncart:], c[:,-ncart:]
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def symmetric_for(self, op):
for lst in self.group_atoms_by_distance:
r0 = self.atoms[lst,1:]
r1 = numpy.dot(r0, op)
# FIXME: compare whether two sets of coordinates are identical
yield all((_vec_in_vecs(x, r0) for x in r1))
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def has_icenter(self):
return all(self.symmetric_for(-1))
[docs]
def has_rotation(self, axis, n):
op = rotation_mat(axis, numpy.pi*2/n).T
return all(self.symmetric_for(op))
[docs]
def has_mirror(self, perp_vec):
return all(self.symmetric_for(householder(perp_vec).T))
[docs]
def has_improper_rotation(self, axis, n):
s_op = numpy.dot(householder(axis), rotation_mat(axis, numpy.pi/n)).T
return all(self.symmetric_for(s_op))
[docs]
def search_possible_rotations(self, zaxis=None):
'''If zaxis is given, the rotation axis is parallel to zaxis'''
maybe_cn = []
for lst in self.group_atoms_by_distance:
natm = len(lst)
if natm > 1:
coords = self.atoms[lst,1:]
# possible C2 axis
for i in range(1, natm):
if abs(coords[0]+coords[i]).sum() > TOLERANCE:
maybe_cn.append((coords[0]+coords[i], 2))
else: # abs(coords[0]-coords[i]).sum() > TOLERANCE:
maybe_cn.append((coords[0]-coords[i], 2))
# atoms of equal distances may be associated with rotation axis > C2.
r0 = coords - coords[0]
distance = norm(r0, axis=1)
eq_distance = abs(distance[:,None] - distance) < TOLERANCE
for i in range(2, natm):
for j in numpy.where(eq_distance[i,:i])[0]:
cos = numpy.dot(r0[i],r0[j]) / (distance[i]*distance[j])
ang = numpy.arccos(cos)
nfrac = numpy.pi*2 / (numpy.pi-ang)
n = int(numpy.around(nfrac))
if abs(nfrac-n) < TOLERANCE:
maybe_cn.append((numpy.cross(r0[i],r0[j]),n))
# remove zero-vectors and duplicated vectors
vecs = numpy.vstack([x[0] for x in maybe_cn])
idx = norm(vecs, axis=1) > TOLERANCE
ns = numpy.hstack([x[1] for x in maybe_cn])
vecs = _normalize(vecs[idx])
ns = ns[idx]
if zaxis is not None: # Keep parallel rotation axes
cos = numpy.dot(vecs, _normalize(zaxis))
vecs = vecs[(abs(cos-1) < TOLERANCE) | (abs(cos+1) < TOLERANCE)]
ns = ns[(abs(cos-1) < TOLERANCE) | (abs(cos+1) < TOLERANCE)]
possible_cn = []
seen = numpy.zeros(len(vecs), dtype=bool)
for k, v in enumerate(vecs):
if not seen[k]:
where1 = numpy.einsum('ix->i', abs(vecs[k:] - v)) < TOLERANCE
where1 = numpy.where(where1)[0] + k
where2 = numpy.einsum('ix->i', abs(vecs[k:] + v)) < TOLERANCE
where2 = numpy.where(where2)[0] + k
seen[where1] = True
seen[where2] = True
vk = _normalize((numpy.einsum('ix->x', vecs[where1]) -
numpy.einsum('ix->x', vecs[where2])))
for n in (set(ns[where1]) | set(ns[where2])):
possible_cn.append((vk,n))
return possible_cn
[docs]
def search_c2x(self, zaxis, n):
'''C2 axis which is perpendicular to z-axis'''
decimals = int(-numpy.log10(TOLERANCE)) - 1
for lst in self.group_atoms_by_distance:
if len(lst) > 1:
r0 = self.atoms[lst,1:]
zcos = numpy.around(numpy.einsum('ij,j->i', r0, zaxis),
decimals=decimals)
uniq_zcos = numpy.unique(zcos)
maybe_c2x = []
for d in uniq_zcos:
if d > TOLERANCE:
mirrord = abs(zcos+d)<TOLERANCE
if mirrord.sum() == (zcos==d).sum():
above = r0[zcos==d]
below = r0[mirrord]
nelem = len(below)
maybe_c2x.extend([above[0] + below[i]
for i in range(nelem)])
elif abs(d) < TOLERANCE: # plane which crosses the orig
r1 = r0[zcos==d][0]
maybe_c2x.append(r1)
r2 = numpy.dot(rotation_mat(zaxis, numpy.pi*2/n), r1)
if abs(r1+r2).sum() > TOLERANCE:
maybe_c2x.append(r1+r2)
else:
maybe_c2x.append(r2-r1)
if len(maybe_c2x) > 0:
idx = norm(maybe_c2x, axis=1) > TOLERANCE
maybe_c2x = _normalize(maybe_c2x)[idx]
maybe_c2x = _remove_dupvec(maybe_c2x)
for c2x in maybe_c2x:
if (not parallel_vectors(c2x, zaxis) and
self.has_rotation(c2x, 2)):
return c2x
[docs]
def search_mirrorx(self, zaxis, n):
'''mirror which is parallel to z-axis'''
if n > 1:
for lst in self.group_atoms_by_distance:
natm = len(lst)
r0 = self.atoms[lst[0],1:]
if natm > 1 and not parallel_vectors(r0, zaxis):
r1 = numpy.dot(rotation_mat(zaxis, numpy.pi*2/n), r0)
mirrorx = _normalize(r1-r0)
if self.has_mirror(mirrorx):
return mirrorx
else:
for lst in self.group_atoms_by_distance:
natm = len(lst)
r0 = self.atoms[lst,1:]
if natm > 1:
maybe_mirror = [r0[i]-r0[0] for i in range(1, natm)]
for mirror in _normalize(maybe_mirror):
if self.has_mirror(mirror):
return mirror
[docs]
def search_c_highest(self, zaxis=None):
possible_cn = self.search_possible_rotations(zaxis)
nmax = 1
cmax = numpy.array([0.,0.,1.])
for cn, n in possible_cn:
if n > nmax and self.has_rotation(cn, n):
nmax = n
cmax = cn
return cmax, nmax
def _normalize(vecs):
vecs = numpy.asarray(vecs)
if vecs.ndim == 1:
return vecs / (numpy.linalg.norm(vecs) + 1e-200)
else:
return vecs / (norm(vecs, axis=1).reshape(-1,1) + 1e-200)
def _vec_in_vecs(vec, vecs):
norm = numpy.sqrt(len(vecs))
return min(numpy.einsum('ix->i', abs(vecs-vec))/norm) < TOLERANCE
def _search_i_group(rawsys):
possible_cn = rawsys.search_possible_rotations()
c5_axes = [c5 for c5, n in possible_cn
if n == 5 and rawsys.has_rotation(c5, 5)]
if len(c5_axes) <= 1:
return None,None
zaxis = c5_axes[0]
cos = numpy.dot(c5_axes, zaxis)
assert (numpy.all((abs(cos[1:]+1/numpy.sqrt(5)) < TOLERANCE) |
(abs(cos[1:]-1/numpy.sqrt(5)) < TOLERANCE)))
if rawsys.has_icenter():
gpname = 'Ih'
else:
gpname = 'I'
c5 = c5_axes[1]
if numpy.dot(c5, zaxis) < 0:
c5 = -c5
c5a = numpy.dot(rotation_mat(zaxis, numpy.pi*6/5), c5)
xaxis = c5a + c5
return gpname, _make_axes(zaxis, xaxis)
def _search_ot_group(rawsys):
possible_cn = rawsys.search_possible_rotations()
c4_axes = [c4 for c4, n in possible_cn
if n == 4 and rawsys.has_rotation(c4, 4)]
if len(c4_axes) > 0: # T group
assert (len(c4_axes) > 1)
if rawsys.has_icenter():
gpname = 'Oh'
else:
gpname = 'O'
return gpname, _make_axes(c4_axes[0], c4_axes[1])
else: # T group
c3_axes = [c3 for c3, n in possible_cn
if n == 3 and rawsys.has_rotation(c3, 3)]
if len(c3_axes) <= 1:
return None, None
cos = numpy.dot(c3_axes, c3_axes[0])
assert (numpy.all((abs(cos[1:]+1./3) < TOLERANCE) |
(abs(cos[1:]-1./3) < TOLERANCE)))
if rawsys.has_icenter():
gpname = 'Th'
# Because C3 axes are on the mirror of Td, two C3 can determine a mirror.
elif rawsys.has_mirror(numpy.cross(c3_axes[0], c3_axes[1])):
gpname = 'Td'
else:
gpname = 'T'
c3a = c3_axes[0]
if numpy.dot(c3a, c3_axes[1]) > 0:
c3a = -c3a
c3b = numpy.dot(rotation_mat(c3a,-numpy.pi*2/3), c3_axes[1])
c3c = numpy.dot(rotation_mat(c3a, numpy.pi*2/3), c3_axes[1])
zaxis, xaxis = c3a+c3b, c3a+c3c
return gpname, _make_axes(zaxis, xaxis)
def _degeneracy(e, decimals):
e = numpy.around(e, decimals)
u, idx = numpy.unique(e, return_inverse=True)
degen = numpy.array([numpy.count_nonzero(idx==i) for i in range(len(u))])
return degen, u
def _pseudo_vectors(vs):
idy0 = abs(vs[:,1])<TOLERANCE
idz0 = abs(vs[:,2])<TOLERANCE
vs = vs.copy()
# ensure z component > 0
vs[vs[:,2]<0] *= -1
# if z component == 0, ensure y component > 0
vs[(vs[:,1]<0) & idz0] *= -1
# if y and z component == 0, ensure x component > 0
vs[(vs[:,0]<0) & idy0 & idz0] *= -1
return vs
def _remove_dupvec(vs):
def rm_iter(vs):
if len(vs) <= 1:
return vs
else:
x = numpy.sum(abs(vs[1:]-vs[0]), axis=1)
rest = rm_iter(vs[1:][x>TOLERANCE])
return numpy.vstack((vs[0], rest))
return rm_iter(_pseudo_vectors(vs))
def _make_axes(z, x):
y = numpy.cross(z, x)
x = numpy.cross(y, z) # because x might not perp to z
return _normalize(numpy.array((x,y,z)))
def _refine(axes):
# Make sure the axes can be rotated from continuous unitary transformation
if axes[2,2] < 0:
axes[2] *= -1
if abs(axes[0,0]) > abs(axes[1,0]):
x_id, y_id = 0, 1
else:
x_id, y_id = 1, 0
if axes[x_id,0] < 0:
axes[x_id] *= -1
if numpy.linalg.det(axes) < 0:
axes[y_id] *= -1
return axes
if __name__ == "__main__":
atom = [["O" , (1. , 0. , 0. ,)],
['H' , (0. , -.757 , 0.587,)],
['H' , (0. , 0.757 , 0.587,)] ]
gpname, orig, axes = detect_symm(atom)
atom = shift_atom(atom, orig, axes)
print(gpname, symm_identical_atoms(gpname, atom))
atom = [['H', (0,0,0)], ['H', (0,0,-1)], ['H', (0,0,1)]]
gpname, orig, axes = detect_symm(atom)
print(gpname, orig, axes)
atom = shift_atom(atom, orig, axes)
print(gpname, symm_identical_atoms(gpname, atom))
atom = [['H', (0., 0., 0.)],
['H', (0., 0., 1.)],
['H', (0., 1., 0.)],
['H', (1., 0., 0.)],
['H', (-1, 0., 0.)],
['H', (0.,-1., 0.)],
['H', (0., 0.,-1.)]]
gpname, orig, axes = detect_symm(atom)
print(gpname, orig, axes)
atom = shift_atom(atom, orig, axes)
print(gpname, symm_identical_atoms(subgroup(gpname, axes)[0], atom))
