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groups.py
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# coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
Defines SymmetryGroup parent class and PointGroup and SpaceGroup classes.
Shyue Ping Ong thanks Marc De Graef for his generous sharing of his
SpaceGroup data as published in his textbook "Structure of Materials".
"""
import os
import re
import warnings
from abc import ABCMeta, abstractmethod
from collections.abc import Sequence
from fractions import Fraction
from itertools import product
import numpy as np
from monty.design_patterns import cached_class
from monty.serialization import loadfn
from pymatgen.core.operations import SymmOp
from pymatgen.util.string import Stringify
SYMM_DATA = None
def _get_symm_data(name):
global SYMM_DATA
if SYMM_DATA is None:
SYMM_DATA = loadfn(os.path.join(os.path.dirname(__file__), "symm_data.json"))
return SYMM_DATA[name]
class SymmetryGroup(Sequence, Stringify, metaclass=ABCMeta):
"""
Abstract class representation a symmetry group.
"""
@property
@abstractmethod
def symmetry_ops(self):
"""
:return: List of symmetry operations
"""
pass
def __contains__(self, item):
for i in self.symmetry_ops:
if np.allclose(i.affine_matrix, item.affine_matrix):
return True
return False
def __hash__(self):
return self.__len__()
def __getitem__(self, item):
return self.symmetry_ops[item]
def __len__(self):
return len(self.symmetry_ops)
def is_subgroup(self, supergroup):
"""
True if this group is a subgroup of the supplied group.
Args:
supergroup (SymmetryGroup): Supergroup to test.
Returns:
True if this group is a subgroup of the supplied group.
"""
warnings.warn("This is not fully functional. Only trivial subsets are tested right now. ")
return set(self.symmetry_ops).issubset(supergroup.symmetry_ops)
def is_supergroup(self, subgroup):
"""
True if this group is a supergroup of the supplied group.
Args:
subgroup (SymmetryGroup): Subgroup to test.
Returns:
True if this group is a supergroup of the supplied group.
"""
warnings.warn("This is not fully functional. Only trivial subsets are " "tested right now. ")
return set(subgroup.symmetry_ops).issubset(self.symmetry_ops)
def to_latex_string(self) -> str:
r"""
Returns:
A latex formatted group symbol with proper subscripts and overlines.
"""
sym = re.sub(r"_(\d+)", r"$_{\1}$", self.to_pretty_string())
return re.sub(r"-(\d)", r"$\\overline{\1}$", sym)
@cached_class
class PointGroup(SymmetryGroup):
"""
Class representing a Point Group, with generators and symmetry operations.
.. attribute:: symbol
Full International or Hermann-Mauguin Symbol.
.. attribute:: generators
List of generator matrices. Note that 3x3 matrices are used for Point
Groups.
.. attribute:: symmetry_ops
Full set of symmetry operations as matrices.
"""
def __init__(self, int_symbol):
"""
Initializes a Point Group from its international symbol.
Args:
int_symbol (str): International or Hermann-Mauguin Symbol.
"""
self.symbol = int_symbol
self.generators = [
_get_symm_data("generator_matrices")[c] for c in _get_symm_data("point_group_encoding")[int_symbol]
]
self._symmetry_ops = {SymmOp.from_rotation_and_translation(m) for m in self._generate_full_symmetry_ops()}
self.order = len(self._symmetry_ops)
@property
def symmetry_ops(self):
"""
:return: List of symmetry operations for SpaceGroup
"""
return self._symmetry_ops
def _generate_full_symmetry_ops(self):
symm_ops = list(self.generators)
new_ops = self.generators
while len(new_ops) > 0:
gen_ops = []
for g1, g2 in product(new_ops, symm_ops):
op = np.dot(g1, g2)
if not in_array_list(symm_ops, op):
gen_ops.append(op)
symm_ops.append(op)
new_ops = gen_ops
return symm_ops
def get_orbit(self, p, tol=1e-5):
"""
Returns the orbit for a point.
Args:
p: Point as a 3x1 array.
tol: Tolerance for determining if sites are the same. 1e-5 should
be sufficient for most purposes. Set to 0 for exact matching
(and also needed for symbolic orbits).
Returns:
([array]) Orbit for point.
"""
orbit = []
for o in self.symmetry_ops:
pp = o.operate(p)
if not in_array_list(orbit, pp, tol=tol):
orbit.append(pp)
return orbit
@cached_class
class SpaceGroup(SymmetryGroup):
"""
Class representing a SpaceGroup.
.. attribute:: symbol
Full International or Hermann-Mauguin Symbol.
.. attribute:: int_number
International number
.. attribute:: generators
List of generator matrices. Note that 4x4 matrices are used for Space
Groups.
.. attribute:: order
Order of Space Group
"""
SYMM_OPS = loadfn(os.path.join(os.path.dirname(__file__), "symm_ops.json"))
SG_SYMBOLS = set(_get_symm_data("space_group_encoding").keys())
for op in SYMM_OPS:
op["hermann_mauguin"] = re.sub(r" ", "", op["hermann_mauguin"])
op["universal_h_m"] = re.sub(r" ", "", op["universal_h_m"])
SG_SYMBOLS.add(op["hermann_mauguin"])
SG_SYMBOLS.add(op["universal_h_m"])
gen_matrices = _get_symm_data("generator_matrices")
# POINT_GROUP_ENC = SYMM_DATA["point_group_encoding"]
sgencoding = _get_symm_data("space_group_encoding")
abbrev_sg_mapping = _get_symm_data("abbreviated_spacegroup_symbols")
translations = {k: Fraction(v) for k, v in _get_symm_data("translations").items()}
full_sg_mapping = {v["full_symbol"]: k for k, v in _get_symm_data("space_group_encoding").items()}
def __init__(self, int_symbol):
"""
Initializes a Space Group from its full or abbreviated international
symbol. Only standard settings are supported.
Args:
int_symbol (str): Full International (e.g., "P2/m2/m2/m") or
Hermann-Mauguin Symbol ("Pmmm") or abbreviated symbol. The
notation is a LaTeX-like string, with screw axes being
represented by an underscore. For example, "P6_3/mmc".
Alternative settings can be access by adding a ":identifier".
For example, the hexagonal setting for rhombohedral cells can be
accessed by adding a ":H", e.g., "R-3m:H". To find out all
possible settings for a spacegroup, use the get_settings
classmethod. Alternative origin choices can be indicated by a
translation vector, e.g., 'Fm-3m(a-1/4,b-1/4,c-1/4)'.
"""
int_symbol = re.sub(r" ", "", int_symbol)
if int_symbol in SpaceGroup.abbrev_sg_mapping:
int_symbol = SpaceGroup.abbrev_sg_mapping[int_symbol]
elif int_symbol in SpaceGroup.full_sg_mapping:
int_symbol = SpaceGroup.full_sg_mapping[int_symbol]
for spg in SpaceGroup.SYMM_OPS:
if int_symbol in [spg["hermann_mauguin"], spg["universal_h_m"]]:
ops = [SymmOp.from_xyz_string(s) for s in spg["symops"]]
self.symbol = re.sub(r":", "", re.sub(r" ", "", spg["universal_h_m"]))
if int_symbol in SpaceGroup.sgencoding:
self.full_symbol = SpaceGroup.sgencoding[int_symbol]["full_symbol"]
self.point_group = SpaceGroup.sgencoding[int_symbol]["point_group"]
else:
self.full_symbol = re.sub(r" ", "", spg["universal_h_m"])
self.point_group = spg["schoenflies"]
self.int_number = spg["number"]
self.order = len(ops)
self._symmetry_ops = ops
break
else:
if int_symbol not in SpaceGroup.sgencoding:
raise ValueError("Bad international symbol %s" % int_symbol)
data = SpaceGroup.sgencoding[int_symbol]
self.symbol = int_symbol
# TODO: Support different origin choices.
enc = list(data["enc"])
inversion = int(enc.pop(0))
ngen = int(enc.pop(0))
symm_ops = [np.eye(4)]
if inversion:
symm_ops.append(np.array([[-1, 0, 0, 0], [0, -1, 0, 0], [0, 0, -1, 0], [0, 0, 0, 1]]))
for i in range(ngen):
m = np.eye(4)
m[:3, :3] = SpaceGroup.gen_matrices[enc.pop(0)]
m[0, 3] = SpaceGroup.translations[enc.pop(0)]
m[1, 3] = SpaceGroup.translations[enc.pop(0)]
m[2, 3] = SpaceGroup.translations[enc.pop(0)]
symm_ops.append(m)
self.generators = symm_ops
self.full_symbol = data["full_symbol"]
self.point_group = data["point_group"]
self.int_number = data["int_number"]
self.order = data["order"]
self._symmetry_ops = None
def _generate_full_symmetry_ops(self):
symm_ops = np.array(self.generators)
for op in symm_ops:
op[0:3, 3] = np.mod(op[0:3, 3], 1)
new_ops = symm_ops
while len(new_ops) > 0 and len(symm_ops) < self.order:
gen_ops = []
for g in new_ops:
temp_ops = np.einsum("ijk,kl", symm_ops, g)
for op in temp_ops:
op[0:3, 3] = np.mod(op[0:3, 3], 1)
ind = np.where(np.abs(1 - op[0:3, 3]) < 1e-5)
op[ind, 3] = 0
if not in_array_list(symm_ops, op):
gen_ops.append(op)
symm_ops = np.append(symm_ops, [op], axis=0)
new_ops = gen_ops
assert len(symm_ops) == self.order
return symm_ops
@classmethod
def get_settings(cls, int_symbol):
"""
Returns all the settings for a particular international symbol.
Args:
int_symbol (str): Full International (e.g., "P2/m2/m2/m") or
Hermann-Mauguin Symbol ("Pmmm") or abbreviated symbol. The
notation is a LaTeX-like string, with screw axes being
represented by an underscore. For example, "P6_3/mmc".
"""
symbols = []
if int_symbol in SpaceGroup.abbrev_sg_mapping:
symbols.append(SpaceGroup.abbrev_sg_mapping[int_symbol])
int_number = SpaceGroup.sgencoding[int_symbol]["int_number"]
elif int_symbol in SpaceGroup.full_sg_mapping:
symbols.append(SpaceGroup.full_sg_mapping[int_symbol])
int_number = SpaceGroup.sgencoding[int_symbol]["int_number"]
else:
for spg in SpaceGroup.SYMM_OPS:
if int_symbol in [
re.split(r"\(|:", spg["hermann_mauguin"])[0],
re.split(r"\(|:", spg["universal_h_m"])[0],
]:
int_number = spg["number"]
break
for spg in SpaceGroup.SYMM_OPS:
if int_number == spg["number"]:
symbols.append(spg["hermann_mauguin"])
symbols.append(spg["universal_h_m"])
return set(symbols)
@property
def symmetry_ops(self):
"""
Full set of symmetry operations as matrices. Lazily initialized as
generation sometimes takes a bit of time.
"""
if self._symmetry_ops is None:
self._symmetry_ops = [SymmOp(m) for m in self._generate_full_symmetry_ops()]
return self._symmetry_ops
def get_orbit(self, p, tol=1e-5):
"""
Returns the orbit for a point.
Args:
p: Point as a 3x1 array.
tol: Tolerance for determining if sites are the same. 1e-5 should
be sufficient for most purposes. Set to 0 for exact matching
(and also needed for symbolic orbits).
Returns:
([array]) Orbit for point.
"""
orbit = []
for o in self.symmetry_ops:
pp = o.operate(p)
pp = np.mod(np.round(pp, decimals=10), 1)
if not in_array_list(orbit, pp, tol=tol):
orbit.append(pp)
return orbit
def is_compatible(self, lattice, tol=1e-5, angle_tol=5):
"""
Checks whether a particular lattice is compatible with the
*conventional* unit cell.
Args:
lattice (Lattice): A Lattice.
tol (float): The tolerance to check for equality of lengths.
angle_tol (float): The tolerance to check for equality of angles
in degrees.
"""
abc = lattice.lengths
angles = lattice.angles
crys_system = self.crystal_system
def check(param, ref, tolerance):
return all(abs(i - j) < tolerance for i, j in zip(param, ref) if j is not None)
if crys_system == "cubic":
a = abc[0]
return check(abc, [a, a, a], tol) and check(angles, [90, 90, 90], angle_tol)
if crys_system == "hexagonal" or (
crys_system == "trigonal"
and (
self.symbol.endswith("H")
or self.int_number
in [
143,
144,
145,
147,
149,
150,
151,
152,
153,
154,
156,
157,
158,
159,
162,
163,
164,
165,
]
)
):
a = abc[0]
return check(abc, [a, a, None], tol) and check(angles, [90, 90, 120], angle_tol)
if crys_system == "trigonal":
a = abc[0]
alpha = angles[0]
return check(abc, [a, a, a], tol) and check(angles, [alpha, alpha, alpha], angle_tol)
if crys_system == "tetragonal":
a = abc[0]
return check(abc, [a, a, None], tol) and check(angles, [90, 90, 90], angle_tol)
if crys_system == "orthorhombic":
return check(angles, [90, 90, 90], angle_tol)
if crys_system == "monoclinic":
return check(angles, [90, None, 90], angle_tol)
return True
@property
def crystal_system(self):
"""
:return: Crystal system for space group.
"""
i = self.int_number
if i <= 2:
return "triclinic"
if i <= 15:
return "monoclinic"
if i <= 74:
return "orthorhombic"
if i <= 142:
return "tetragonal"
if i <= 167:
return "trigonal"
if i <= 194:
return "hexagonal"
return "cubic"
def is_subgroup(self, supergroup):
"""
True if this space group is a subgroup of the supplied group.
Args:
group (Spacegroup): Supergroup to test.
Returns:
True if this space group is a subgroup of the supplied group.
"""
if len(supergroup.symmetry_ops) < len(self.symmetry_ops):
return False
groups = [[supergroup.int_number]]
all_groups = [supergroup.int_number]
max_subgroups = {int(k): v for k, v in _get_symm_data("maximal_subgroups").items()}
while True:
new_sub_groups = set()
for i in groups[-1]:
new_sub_groups.update([j for j in max_subgroups[i] if j not in all_groups])
if self.int_number in new_sub_groups:
return True
if len(new_sub_groups) == 0:
break
groups.append(new_sub_groups)
all_groups.extend(new_sub_groups)
return False
def is_supergroup(self, subgroup):
"""
True if this space group is a supergroup of the supplied group.
Args:
subgroup (Spacegroup): Subgroup to test.
Returns:
True if this space group is a supergroup of the supplied group.
"""
return subgroup.is_subgroup(self)
@classmethod
def from_int_number(cls, int_number, hexagonal=True):
"""
Obtains a SpaceGroup from its international number.
Args:
int_number (int): International number.
hexagonal (bool): For rhombohedral groups, whether to return the
hexagonal setting (default) or rhombohedral setting.
Returns:
(SpaceGroup)
"""
sym = sg_symbol_from_int_number(int_number, hexagonal=hexagonal)
if not hexagonal and int_number in [146, 148, 155, 160, 161, 166, 167]:
sym += ":R"
return SpaceGroup(sym)
def __str__(self):
return "Spacegroup %s with international number %d and order %d" % (
self.symbol,
self.int_number,
len(self.symmetry_ops),
)
def to_pretty_string(self):
"""
:return: Spacegroup string.
"""
return self.symbol
def sg_symbol_from_int_number(int_number, hexagonal=True):
"""
Obtains a SpaceGroup name from its international number.
Args:
int_number (int): International number.
hexagonal (bool): For rhombohedral groups, whether to return the
hexagonal setting (default) or rhombohedral setting.
Returns:
(str) Spacegroup symbol
"""
syms = []
for n, v in _get_symm_data("space_group_encoding").items():
if v["int_number"] == int_number:
syms.append(n)
if len(syms) == 0:
raise ValueError("Invalid international number!")
if len(syms) == 2:
for sym in syms:
if "e" in sym:
return sym
if hexagonal:
syms = list(filter(lambda s: s.endswith("H"), syms))
else:
syms = list(filter(lambda s: not s.endswith("H"), syms))
return syms.pop()
def in_array_list(array_list, a, tol=1e-5):
"""
Extremely efficient nd-array comparison using numpy's broadcasting. This
function checks if a particular array a, is present in a list of arrays.
It works for arrays of any size, e.g., even matrix searches.
Args:
array_list ([array]): A list of arrays to compare to.
a (array): The test array for comparison.
tol (float): The tolerance. Defaults to 1e-5. If 0, an exact match is
done.
Returns:
(bool)
"""
if len(array_list) == 0:
return False
axes = tuple(range(1, a.ndim + 1))
if not tol:
return np.any(np.all(np.equal(array_list, a[None, :]), axes))
return np.any(np.sum(np.abs(array_list - a[None, :]), axes) < tol)