Source code for pyxtal.symmetry

"""
Module for storing & accessing symmetry group information, including
    - Group class
    - Wyckoff_Position class.
    - Hall class
"""

from __future__ import annotations

import functools
import importlib.util
import itertools
import operator
import os
import re
from copy import deepcopy
from ast import literal_eval

import numpy as np
from monty.serialization import loadfn
from numpy.random import Generator
from pandas import read_csv

from pyxtal.constants import all_sym_directions, hex_cell, letters, ASU_bounds
from pyxtal.operations import (
    OperationAnalyzer,
    SymmOp,
    apply_ops,
    check_images,
    create_matrix,
    distance,
    distance_matrix,
    filtered_coords,
    filtered_coords_euclidean,
)
from pyxtal.asu_constraints import ASU, ASUCondition, create_asu_for_space_group

[docs] def rf(package_name, resource_path): package_path = importlib.util.find_spec( package_name).submodule_search_locations[0] return os.path.join(package_path, resource_path)
""" Properties for Lazy Loading """
[docs] class SymmetryData: _k_subgroup = None _t_subgroup = None def __init__(self): self._wyckoff_sg = None self._wyckoff_lg = None self._wyckoff_rg = None self._wyckoff_pg = None self._symmetry_sg = None self._symmetry_lg = None self._symmetry_rg = None self._symmetry_pg = None self._generator_sg = None self._generator_lg = None self._generator_rg = None self._generator_pg = None self._t_subgroup = None self._k_subgroup = None self._hall_table = None
[docs] @classmethod def get_t_subgroup(cls): if cls._t_subgroup is None: cls._t_subgroup = loadfn(rf("pyxtal", "database/t_subgroup.json")) return cls._t_subgroup
[docs] @classmethod def get_k_subgroup(cls): if cls._k_subgroup is None: cls._k_subgroup = loadfn(rf("pyxtal", "database/k_subgroup.json")) return cls._k_subgroup
[docs] def get_wyckoff_sg(self): if self._wyckoff_sg is None: self._wyckoff_sg = read_csv(rf("pyxtal", "database/wyckoff_list.csv")) return self._wyckoff_sg
[docs] def get_wyckoff_lg(self): if self._wyckoff_lg is None: self._wyckoff_lg = read_csv(rf("pyxtal", "database/layer.csv")) return self._wyckoff_lg
[docs] def get_wyckoff_rg(self): if self._wyckoff_rg is None: self._wyckoff_rg = read_csv(rf("pyxtal", "database/rod.csv")) return self._wyckoff_rg
[docs] def get_wyckoff_pg(self): if self._wyckoff_pg is None: self._wyckoff_pg = read_csv(rf("pyxtal", "database/point.csv")) return self._wyckoff_pg
[docs] def get_symmetry_sg(self): if self._symmetry_sg is None: self._symmetry_sg = read_csv(rf("pyxtal", "database/wyckoff_symmetry.csv")) return self._symmetry_sg
[docs] def get_symmetry_lg(self): if self._symmetry_lg is None: self._symmetry_lg = read_csv(rf("pyxtal", "database/layer_symmetry.csv")) return self._symmetry_lg
[docs] def get_symmetry_rg(self): if self._symmetry_rg is None: self._symmetry_rg = read_csv(rf("pyxtal", "database/rod_symmetry.csv")) return self._symmetry_rg
[docs] def get_symmetry_pg(self): if self._symmetry_pg is None: self._symmetry_pg = read_csv(rf("pyxtal", "database/point_symmetry.csv")) return self._symmetry_pg
[docs] def get_generator_sg(self): if self._generator_sg is None: self._generator_sg = read_csv(rf("pyxtal", "database/wyckoff_generators.csv")) return self._generator_sg
[docs] def get_generator_lg(self): if self._generator_lg is None: self._generator_lg = read_csv(rf("pyxtal", "database/layer_generators.csv")) return self._generator_lg
[docs] def get_generator_rg(self): if self._generator_rg is None: self._generator_rg = read_csv(rf("pyxtal", "database/rod_generators.csv")) return self._generator_rg
[docs] def get_generator_pg(self): if self._generator_pg is None: self._generator_pg = read_csv(rf("pyxtal", "database/point_generators.csv")) return self._generator_pg
[docs] def get_hall_table(self): if self._hall_table is None: self._hall_table = read_csv(rf("pyxtal", "database/HM_Full.csv"), sep=",") return self._hall_table
# ------------------------------ Constants --------------------------------------- SYMDATA = SymmetryData() HALL_TABLE = SYMDATA.get_hall_table() face_centers = [22, 42, 43, 69, 70, 196, 202, 203, 209, 210, 216, 219, 225, 226, 227, 228] body_centers = [23, 24, 44, 45, 46, 71, 72, 73, 74, 79, 80, 82, 87, 88, 97, 98, 107, 108, 109, 110, 119, 120, 121, 122, 139, 140, 141, 142, 197, 199, 204, 206, 211, 214, 217, 220, 229, 230] a_centers = [38, 39, 40, 41] c_centers = [5, 8, 9, 12, 15, 20, 21, 35, 36, 37, 63, 64, 65, 66, 67, 68] r_centers = [146, 148, 155, 160, 161, 166, 167] # screw axes screw_21a = [18, 19, 24, 51, 54, 55, 56, 58, 59, 60, 61, 62, 68, 72, 73, 90, 92, 94, 96, 113, 114, 122, 127, 128, 129, 130, 135, 136, 137, 138, 198, 199, 205, 206, 210, 212, 213, 214, 227, 228, 230] screw_41a = [210, 213, 214, 227, 228, 230] screw_42a = [208, 223, 224, 226] screw_43a = [212] screw_21b = [4, 11, 14, 18, 19, 24, 52, 55, 56, 57, 58, 59, 61, 62, 64, 67, 72, 73, 74, 90, 92, 94, 96, 113, 114, 127, 128, 129, 130, 135, 136, 137, 138, 198, 199, 205, 206, 210, 212, 213, 214, 227, 228, 230] screw_41b = [210, 213, 214, 227, 228, 230] screw_42b = [208, 223, 224, 226] screw_43b = [212] screw_21c = [17, 19, 20, 24, 26, 29, 31, 33, 36, 53, 57, 60, 61, 62, 63, 64, 73, 76, 78, 80, 88, 91, 92, 95, 96, 98, 109, 110, 141, 142, 169, 170, 173, 176, 178, 179, 182, 185, 186, 193, 194, 198, 199, 205, 206, 210, 212, 213, 214, 227, 228, 230] screw_41c = [76, 80, 88, 91, 92, 98, 109, 110, 141, 142, 210, 213, 214, 227, 228, 230] screw_42c = [77, 84, 86, 93, 94, 101, 102, 105, 106, 131, 132, 133, 134, 135, 136, 137, 138, 208, 223, 224, 226] screw_43c = [78, 95, 96, 212] screw_31c = [144, 151, 152, 169, 172, 178, 181] screw_32c = [145, 153, 154, 170, 171, 179, 180] screw_61c = [169, 178] screw_62c = [171, 180] screw_63c = [173, 176, 182, 185, 186, 193, 194] screw_64c = [172, 181] screw_65c = [170, 179] # glide planes b_glide_a = [32, 39, 41, 45, 50, 55, 57, 60, 61, 72, 73, 100, 106, 110, 117, 125, 127, 133, 135, 205, 206, 230] c_glide_a = [27, 29, 37, 49, 54, 56, 66, 68, 101, 103, 108, 116, 120, 124, 130, 132, 138, 140, 142]#, 158, 159, 161, 163, 165, #167, 184, 185, 186, 188, 190, 192, 193, 194] n_glide_a = [30, 33, 34, 48, 52, 58, 62, 102, 104, 109, 118, 126, 128, 134, 136, 201, 222, 224] d_glide_a = [43, 70, 203, 227, 228] a_glide_b = [28, 29, 32, 33, 40, 41, 45, 46, 50, 55, 72, 100, 106, 117, 125, 127, 133, 135, 142] c_glide_b = [7, 9, 13, 14, 15, 26, 27, 30, 36, 37, 49, 54, 56, 57, 60, 61, 63, 64, 66, 68, 73, 101, 103, 108, 110, 116, 120, 124, 130, 132, 138, 140, 205, 206, 230] #130, 132, 138, 140, 159, 163, 184, 186, 190, 192, 194, 205, 206, 230] n_glide_b = [31, 34, 48, 52, 53, 58, 102, 104, 118, 126, 128, 134, 136, 141, 201, 222, 224] d_glide_b = [43, 70, 203, 227, 228] a_glide_c = [51, 52, 53, 54, 61, 62, 68, 73, 88, 141, 142, 205, 206, 230] b_glide_c = [64, 67, 74] n_glide_c = [48, 50, 56, 59, 60, 85, 86, 125, 126, 129, 130, 133, 134, 137, 138, 201, 222, 224] d_glide_c = [70, 203, 227, 228] cn_glide_110 = [103, 104, 105, 106, 108, 112, 113, 114, 124, 126, 128, 130, 131, 133, 135, 137, 138, 140, 158, 161, 165, 167, 184, 185, 188, 192, 193, 218, 219, 222, 223, 224, 226, 228] an_glide_011 = [222, 224] bn_glide_101 = [222, 224] d_glide_110 = [109, 110, 122, 141, 142, 220, 230] d_glide_011 = [220, 230] d_glide_101 = [220, 230] spglib_hall_numbers = [ 1, 2, 3, 6, 9, 18, 21, 30, 39, 57, 60, 63, 72, 81, 90, 108, 109, 112, 115, 116, 119, 122, 123, 124, 125, 128, 134, 137, 143, 149, 155, 161, 164, 170, 173, 176, 182, 185, 191, 197, 203, 209, 212, 215, 218, 221, 227, 228, 230, 233, 239, 245, 251, 257, 263, 266, 269, 275, 278, 284, 290, 292, 298, 304, 310, 313, 316, 322, 334, 335, 337, 338, 341, 343, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 404, 406, 407, 408, 410, 412, 413, 414, 416, 418, 419, 420, 422, 424, 425, 426, 428, 430, 431, 432, 433, 435, 436, 438, 439, 440, 441, 442, 443, 444, 446, 447, 448, 449, 450, 452, 454, 455, 456, 457, 458, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 520, 521, 523, 524, 525, 527, 529, 530, ] # The map between standard space group and hall numbers pyxtal_hall_numbers = [ 1, 2, 3, 6, 9, 18, 21, 30, 39, 57, 60, 63, 72, 81, 90, 108, 109, 112, 115, 116, 119, 122, 123, 124, 125, 128, 134, 137, 143, 149, 155, 161, 164, 170, 173, 176, 182, 185, 191, 197, 203, 209, 212, 215, 218, 221, 227, 229, 230, 234, 239, 245, 251, 257, 263, 266, 269, 275, 279, 284, 290, 292, 298, 304, 310, 313, 316, 323, 334, 336, 337, 338, 341, 343, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 360, 362, 363, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 403, 405, 406, 407, 409, 411, 412, 413, 415, 417, 418, 419, 421, 423, 424, 425, 427, 429, 430, 431, 432, 433, 435, 436, 438, 439, 440, 441, 442, 443, 444, 446, 447, 448, 449, 450, 452, 454, 455, 456, 457, 458, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 496, 497, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 519, 520, 522, 523, 524, 526, 528, 529, 530, ] # --------------------------- Hall class -----------------------------
[docs] class Hall: """ Class for conversion between Hall and standard spacegroups http://cci.lbl.gov/sginfo/itvb_2001_table_a1427_hall_symbols.html Args: spg_num: interger number between 1 and 230 style: spglib or pyxtal permutation: allow permutation or not """ def __init__(self, spgnum, style="pyxtal", permutation=False): self.spg = spgnum if style == "pyxtal": self.hall_default = pyxtal_hall_numbers[spgnum - 1] else: self.hall_default = spglib_hall_numbers[spgnum - 1] self.hall_numbers = [] self.hall_symbols = [] self.Ps = [] # convertion from standard self.P1s = [] # inverse convertion to standard for id in range(len(HALL_TABLE["Hall"])): if HALL_TABLE["Spg_num"][id] == spgnum: include = True if permutation else HALL_TABLE["Permutation"][id] == 0 if include: self.hall_numbers.append(HALL_TABLE["Hall"][id]) self.hall_symbols.append(HALL_TABLE["Symbol"][id]) self.Ps.append(abc2matrix(HALL_TABLE["P"][id])) self.P1s.append(abc2matrix(HALL_TABLE["P^-1"][id])) elif HALL_TABLE["Spg_num"][id] > spgnum: break if len(self.hall_numbers) == 0: msg = "hall numbers cannot be found, check input " + spgnum raise RuntimeError(msg)
# --------------------------- Group class -----------------------------
[docs] class Group: """ Class for storing a set of Wyckoff positions for a symmetry group. See the documentation for details about settings. Examples -------- >>> from pyxtal.symmetry import Group >>> g = Group(64) >>> g -- Spacegroup --# 64 (Cmce)-- 16g site symm: 1 8f site symm: m.. 8e site symm: .2. 8d site symm: 2.. 8c site symm: -1 4b site symm: 2/m.. 4a site symm: 2/m.. One can access data such as `symbol`, `number` and `Wyckoff_positions`: >>> g.symbol 'Cmce' >>> g.number 64 >>> g.Wyckoff_positions[0] Wyckoff position 16g in space group 64 with site symmetry 1 x, y, z -x, -y+1/2, z+1/2 -x, y+1/2, -z+1/2 x, -y, -z -x, -y, -z x, y+1/2, -z+1/2 x, -y+1/2, z+1/2 -x, y, z x+1/2, y+1/2, z -x+1/2, -y+1, z+1/2 -x+1/2, y+1, -z+1/2 x+1/2, -y+1/2, -z -x+1/2, -y+1/2, -z x+1/2, y+1, -z+1/2 x+1/2, -y+1, z+1/2 -x+1/2, y+1/2, z We also provide several utilities functions, e.g., one can search the possible wyckoff_combinations by a formula: >>> g.list_wyckoff_combinations([4, 2]) ([], [], []) >>> g.list_wyckoff_combinations([4, 8]) ([[['4a'], ['8c']], [['4a'], ['8d']], [['4a'], ['8e']], [['4a'], ['8f']], [['4b'], ['8c']], [['4b'], ['8d']], [['4b'], ['8e']], [['4b'], ['8f']]], [False, True, True, True, False, True, True, True], [[[6], [4]], [[6], [3]], [[6], [2]], [[6], [1]], [[5], [4]], [[5], [3]], [[5], [2]], [[5], [1]]] ) Or search the subgroup information: >>> g.get_max_t_subgroup()['subgroup'] [12, 14, 15, 20, 36, 39, 41] Or check if a given composition is compatible with Wyckoff positions: >>> g = Group(225) >>> g.check_compatible([64, 28, 24]) (True, True) Or check the possible transition paths to a given supergroup: >>> g = Group(59) >>> g.search_supergroup_paths(139, 2) [[71, 139], [129, 139], [137, 139]] Args: group: The group symbol or international number dim (int, default: 3): The periodic dimension of the group use_hall (bool, default: False): Whether or not use the hall number style (str, default: ``pyxtal``): The choice of hall number (``pyxtal``/``spglib``) quick (bool, default: False): Whether or not ignore the wyckoff information """ def __init__(self, group, dim=3, use_hall=False, style="pyxtal", quick=False): self.string = None self.dim = dim names = ["Point", "Rod", "Layer", "Space"] self.header = "-- " + names[dim] + "group --" # Retrieve symbol and number for the group (avoid redundancy) if not use_hall: self.symbol, self.number = get_symbol_and_number(group, dim) else: self.symbol = HALL_TABLE["Symbol"][group - 1] self.number = HALL_TABLE["Spg_num"][group - 1] self.PBC, self.lattice_type = get_pbc_and_lattice(self.number, dim) if dim == 3: self.lattice_id = self.get_lattice_id() results = get_point_group(self.number) self.point_group, self.pg_number, self.polar, self.inversion, self.chiral = results # Lazy load Wyckoff positions and hall data unless quick=True if not quick: self._initialize_hall_data(group, use_hall, style, dim) self._initialize_wyckoff_data(dim) def _initialize_hall_data(self, group, use_hall, style, dim): """Initialize hall number and transformation matrices.""" if dim == 3: if not use_hall: if style == "pyxtal": self.hall_number = pyxtal_hall_numbers[self.number - 1] else: self.hall_number = spglib_hall_numbers[self.number - 1] else: self.hall_number = group self.P = abc2matrix(HALL_TABLE["P"][self.hall_number - 1]) self.P1 = abc2matrix(HALL_TABLE["P^-1"][self.hall_number - 1]) else: self.hall_number, self.P, self.P1 = None, None, None def _initialize_wyckoff_data(self, dim): """Initialize Wyckoff positions and organize them.""" # Wyckoff positions, site_symmetry, generator self.wyckoffs = get_wyckoffs(self.number, dim=dim) self.w_symm = get_wyckoff_symmetry(self.number, dim=dim) # Create dicts with relevant Wyckoff position data lazily wpdicts_gen = [ { "index": i, "letter": letter_from_index(i, self.wyckoffs, dim=self.dim), "ops": self.wyckoffs[i], "multiplicity": len(self.wyckoffs[i]), "symmetry": self.w_symm[i], "PBC": self.PBC, "dim": self.dim, "number": self.number, "symbol": self.symbol, "P": self.P, "P1": self.P1, "hall_number": self.hall_number, "directions": self.get_symmetry_directions(), "lattice_type": self.lattice_type, } for i in range(len(self.wyckoffs)) ] # A list of Wyckoff_positions sorted by descending multiplicity #self.Wyckoff_positions = [] #for wpdict in wpdicts: # wp = Wyckoff_position.from_dict(wpdict) # self.Wyckoff_positions.append(wp) # Use a generator to avoid keeping the full list of dicts in memory self.Wyckoff_positions = [ Wyckoff_position.from_dict(wpdict) for wpdict in wpdicts_gen ] # Organize wyckoffs by multiplicity self.wyckoffs_organized = organized_wyckoffs(self) def __str__(self): if self.string is not None: return self.string else: s = self.header s += "# " + str(self.number) + " (" + self.symbol + ")--" for wp in self.Wyckoff_positions: s += "\n" + wp.get_label() if not hasattr(wp, "site_symm"): wp.get_site_symmetry() s += "\tsite symm: " + wp.site_symm self.string = s return self.string def __repr__(self): return str(self) def __iter__(self): yield from self.Wyckoff_positions def __getitem__(self, index): return self.get_wyckoff_position(index) def __len__(self): return len(self.wyckoffs)
[docs] def get_ferroelectric_groups(self): """ Return the list of possible ferroelectric point groups """ return para2ferro(self.point_group)
[docs] def get_site_dof(self, sites): """ Compute the degree of freedom for each site. Args: sites (list): List of site labels, e.g. ['4a', '8b'] or ['a', 'b'] Returns: numpy.ndarray: Array of degrees of freedom for each site """ def extract_dof(site): site_letter = site[-1] if len(site) > 1 else site id = len(self) - letters.index(site_letter) - 1 xyz_str = self[id].ops[0].as_xyz_str() return len(set(re.sub(r"[^a-z]+", "", xyz_str))) return np.array([extract_dof(site) for site in sites])
[docs] def get_orders(self): """ Get possible Wyckoff position orders based on the composition and Z range. """ orders = [] for map_str in self.get_alternatives()['Transformed WP']: #[1:]: original_list = map_str.split() sorted_reference = sorted(original_list) order = [sorted_reference.index(char) for char in original_list] orders.append(order) orders = np.array(orders, dtype=int) return orders
[docs] def get_spg_representation(self): """ Get the one-hot encoding of the space group. (lattice_id, symmetry_matrix) Returns: id: an integer between 0 and 13 one_hot: a (15, 26) numpy (0, 1) array """ return self.lattice_id, self.get_spg_symmetry_object().to_one_hot()
[docs] def get_subgroup_composition(self, ids, g_types=['t', 'k'], max_atoms=100, max_wps=20, verbose=False): """ Get the composition of the subgroup Wyckoff positions. Args: ids (list, optional): Nested list of Wyckoff position indices [[0]]. verbose (bool): Whether to print debug information. g_types (list): List of subgroup types to consider ('t' for translationengleiche, 'k' for klassengleiche). max_atoms (int): Maximum number of atoms to consider for subgroup search. Returns: list: List of multiplicities of the Wyckoff positions. """ if verbose: strs = f"{self.number} ({self.symbol}): " for i in ids: for id in i: wp = self[id] strs += f"{wp.multiplicity}{wp.letter} " print(strs) sub_symmetries = [] N_atoms = sum([self[id].multiplicity for i in ids for id in i]) for g_type in g_types: if g_type == 't': sub = self.get_max_t_subgroup() else: sub = self.get_max_k_subgroup() for i, sub_g in enumerate(sub['subgroup']): if N_atoms * sub['index'][i] > max_atoms: continue sub_gg = Group(sub_g) relation = sub['relations'][i]#; print(relation) sub_ids = [[] for _ in range(len(ids))] for j, _ids in enumerate(ids): for id in _ids: true_id = len(self)-id-1 relation[true_id].sort() for r in relation[true_id]: letter = r[-1]#; print("test letter:", relation[true_id]) sub_ids[j].append(len(sub_gg) - letters.index(letter) - 1) if sum(len(sublist) for sublist in sub_ids) <= max_wps: data = (sub_g, sub_ids, N_atoms * sub['index'][i]) if data not in sub_symmetries: sub_symmetries.append(data) if verbose: strs = f"{sub_gg.number} ({sub_gg.symbol}): " for i in sub_ids: for id in i: wp = sub_gg[id] strs += f"{wp.multiplicity}{wp.letter} " print(strs, data) return sub_symmetries
[docs] def get_lattice_id(self): """ Compute the id for the lattice. Returns: id (int): Encoded lattice id - 0: triclinic-P - 1: monoclinic-P - 2: monoclinic-C - 3: orthorhombic-P - 4: orthorhombic-A - 5: orthorhombic-B - 6: orthorhombic-C - 7: orthorhombic-I - 8: orthorhombic-F - 9: tetragonal-P - 10: tetragonal-I - 11: hexagonal-P - 12: hexagonal-R - 13: cubic-P - 14: cubic-I - 15: cubic-F """ if self.lattice_type in ["triclinic"]: id = 0 elif self.lattice_type in ["monoclinic"]: if self.symbol[0] == "P": id = 1 else: id = 2 elif self.lattice_type in ["orthorhombic"]: if self.symbol[0] == "P": id = 3 elif self.symbol[0] == "A": id = 4 elif self.symbol[0] == "B": id = 5 elif self.symbol[0] == "C": id = 6 elif self.symbol[0] == "I": id = 7 elif self.symbol[0] == "F": id = 8 elif self.lattice_type in ["tetragonal"]: if self.symbol[0] == "P": id = 9 elif self.symbol[0] == "I": id = 10 elif self.lattice_type in ["hexagonal", "trigonal", "rhombohedral"]: if self.symbol[0] == "P": id = 11 elif self.symbol[0] == "R": id = 12 else: # cubic if self.symbol[0] == "P": id = 13 elif self.symbol[0] == "I": id = 14 elif self.symbol[0] == "F": id = 15 return id
[docs] def get_ASU(self): """ Get the asymmetric unit for the space group. Returns: list: A list of inequalities defining the asymmetric unit. """ return ASU_bounds[self.number-1]
[docs] def get_ASU_instance(self): """ Get the asymmetric unit (ASU) for the space group. Available methods for ASU construction include: - project_to_asu(coord): Project a given coordinate to the ASU. - is_valid(coord): Check if a given coordinate is within the ASU. """ return create_asu_for_space_group(self.number)
[docs] def get_lattice_dof(self): """ Compute the degree of freedom for the lattice """ if self.lattice_type in ["triclinic"]: dof = 6 elif self.lattice_type in ["monoclinic"]: dof = 4 elif self.lattice_type in ["orthorhombic"]: dof = 3 elif self.lattice_type in ["tetragonal", "hexagonal", "trigonal"]: dof = 2 else: dof = 1 return dof
[docs] def is_valid_hkl(self, h, k, l): """ Check if the given (h, k, l) is allowed by the space group symmetry. Args: h (int): Miller index h k (int): Miller index k l (int): Miller index l Returns: bool: True if (h, k, l) is allowed, False otherwise """ # Check if the (h, k, l) is allowed by the space group symmetry # This is a placeholder implementation and should be replaced with the actual symmetry check return is_hkl_allowed(h, k, l, self.number)
[docs] def get_reflection_conditions(self): """ Get the reflection conditions for the space group. Returns: dict: A dictionary with keys as (h, k, l) tuples and values as booleans indicating if the reflection is allowed. """ dicts = {"fcs (all odd/even)": face_centers, "bcs (h+k+l=2n)": body_centers, "acs (k+l=2n)": a_centers, "ccs (h+k=2n)": c_centers, "rcs (h-k-l=3n)": r_centers, "screw_21a (h00), h=2n": screw_21a, "screw_41a (h00), h=4n": screw_41a, "screw_42a (h00), h=2n": screw_42a, "screw_43a (h00), h=4n": screw_43a, "screw_21b (0k0), k=2n": screw_21b, "screw_41b (0k0), k=4n": screw_41b, "screw_42b (0k0), k=2n": screw_42b, "screw_43b (0k0), k=4n": screw_43b, "screw_21c (00l), l=2n": screw_21c, "screw_41c (00l), l=4n": screw_41c, "screw_42c (00l), l=2n": screw_42c, "screw_43c (00l), l=4n": screw_43c, "screw_31c (00l), l=3n": screw_31c, "screw_32c (00l), l=3n": screw_32c, "screw_61c (00l), l=6n": screw_61c, "screw_62c (00l), l=3n": screw_62c, "screw_63c (00l), l=2n": screw_63c, "screw_64c (00l), l=3n": screw_64c, "screw_65c (00l), l=6n": screw_65c, "b_glide_a (0kl), k=2n": b_glide_a, "c_glide_a (0kl), l=2n": c_glide_a, "n_glide_a (0kl), k+l=2n": n_glide_a, "d_glide_a (0kl), k+l=4n": d_glide_a, "a_glide_b (h0l), h=2n": a_glide_b, "c_glide_b (h0l), l=2n": c_glide_b, "n_glide_b (h0l), h+l=2n": n_glide_b, "d_glide_b (h0l), h+l=4n": d_glide_b, "a_glide_c (hk0), h=2n": a_glide_c, "b_glide_c (0kl), l=2n": b_glide_c, "n_glide_c (0kl), h+l=2n": n_glide_c, "d_glide_c (0kl), l=2n": d_glide_c, "cn_glide_110 (hhl), l=2n": cn_glide_110, "an_glide_011 (hkk), h=2n": an_glide_011, "bn_glide_101 (hkh), k=2n": bn_glide_101, "glide_110 (hhl), l=2n 2h+l=4n": d_glide_110, "glide_011 (hkk), h=2n 2k+h=4n": d_glide_011, "glide_101 (hkh), k=2n 2h+k=4n": d_glide_101, } print(f"Reflection condition applied") for key in dicts: if self.number in dicts[key]: strs = key if self.number < 15 and key == 'c_glide_b (h0l), l=2n': strs += ' or h+l=2n' print(strs)
[docs] def generate_possible_hkls(self, h_max, k_max=None, l_max=None, max_square=12): """ Generate reasonable hkl indices within a cutoff for different crystal systems. This function considers the extinction conditions to limit the hkls. Args: max_h: maximum absolute value for h, k, l """ if k_max is None: k_max = h_max if l_max is None: l_max = h_max if self.number > 194: # cubic base_signs = [(1, 1, 1)] elif self.number >= 143: # hexagonal/trigonal base_signs = [(1, 1, 1), (1, -1, 1)] elif self.number >= 16: # orthorhombic base_signs = [(1, 1, 1)] elif self.number >= 3: # 2/m base_signs = [(1, 1, 1), (1, 1, -1)] #elif self.number >= 6: # m # base_signs = [(1, 1, 1), (1, 1, -1), (-1, 1, 1), (-1, 1, -1)] #elif self.number >= 3: # 2 # base_signs = [(1, 1, 1), (1, -1, 1), (-1, 1, 1), (1, -1, -1)] #elif self.number >= 2: # -1 # base_signs = [(1, 1, 1), (1, 1, -1), (1, -1, 1), (-1, 1, 1)] else: # 1 base_signs = [(1, 1, 1), (1, 1, -1), (1, -1, 1), (-1, 1, 1), (1, -1, -1), (-1, 1, -1), (-1, -1, 1), (-1, -1, -1)] # Generate all possible hkls and filter by extinction rules possible_hkls = [] canonical_seen = set() # Track canonical forms to avoid duplicates symmetry_seen = set() # Track symmetry-equivalent hkls # Build reciprocal-space rotation operators from the general Wyckoff position reciprocal_ops = [] op_seen = set() if len(self.wyckoffs) > 0 and len(self.wyckoffs[0]) > 0: for op in self.wyckoffs[0]: try: matrix = np.rint(np.linalg.inv(op.rotation_matrix).T).astype(int) except np.linalg.LinAlgError: continue key = tuple(matrix.flatten().tolist()) if key not in op_seen: op_seen.add(key) reciprocal_ops.append(matrix) if len(reciprocal_ops) == 0: reciprocal_ops = [np.eye(3, dtype=int)] def get_symmetry_key(hkl): vec = np.array(hkl, dtype=int) orbit = [tuple((matrix @ vec).tolist()) for matrix in reciprocal_ops] return max(orbit) for h in range(0, h_max + 1): # add permutation k_min = 0 #if self.number > 3 else h for k in range(k_min, k_max + 1): # add additional l_min = 0 #if self.number > 15 else h for l in range(l_min, l_max + 1): if h == 0 and k == 0 and l == 0: # Exclude (0,0,0) continue if h*h + k*k + l*l > max_square: continue canonical = get_canonical_hkl(h, k, l, self.number) if canonical in canonical_seen: continue if h*h + k*k + l*l > 0: # exclude (0,0,0) # Add all permutations and sign variations valid_hkls = [] for signs in base_signs: if 2 < self.number < 16 and h == 0 and signs[2]==-1: continue sh, sk, sl = signs[0]*h, signs[1]*k, signs[2]*l if is_hkl_allowed(sh, sk, sl, self.number): if (sh, sk, sl) not in valid_hkls: valid_hkls.append((sh, sk, sl)) #print('AAAAAAAAAAAAAAAAAAA', h, k, l, sh, sk, sl) if valid_hkls: canonical_seen.add(canonical) for hkl in valid_hkls: symmetry_key = get_symmetry_key(hkl) if symmetry_key not in symmetry_seen: symmetry_seen.add(symmetry_key) possible_hkls.append(hkl) # Sort by h²+k²+l² in ascending order possible_hkls.sort(key=lambda hkl: hkl[0]**2 + hkl[1]**2 + hkl[2]**2) return possible_hkls # remove duplicates
[docs] def generate_hkl_guesses(self, h_max=2, k_max=None, l_max=None, max_square=12, total_square=100, max_size=2000000, reduce=True, verbose=False): """ Generate reasonable hkl indices within a cutoff for different crystal systems. This function considers the extinction conditions to limit the hkls. Args: h_max: maximum absolute value for h l_max: maximum absolute value for k k_max: maximum absolute value for l max_square: maximum h^2 + k^2 + l^2 max_size: maximum number of guesses to return reduce: whether or not reduce the number of guesses verbose: whether or not print the possible hkls """ if k_max is None: k_max = h_max if l_max is None: l_max = h_max possible_hkls = self.generate_possible_hkls(h_max, k_max, l_max, max_square=max_square) possible_hkls = np.array(possible_hkls) n_hkls = len(possible_hkls) if verbose: print([tuple(hkl) for hkl in possible_hkls]) if self.number >= 195: guesses = np.reshape(possible_hkls, (len(possible_hkls), 1, 3)) elif self.number >= 143: double_indices = np.array(list(itertools.combinations(range(n_hkls), 2))) doubles = possible_hkls[double_indices] # Shape: (n_doubles, 2, 3) base_signs = np.array([(1, 1, 1), (1, -1, 1)]) all_guesses = [] for double in doubles: for signs in base_signs: signed_double = double * signs[np.newaxis, :] all_guesses.extend(list(itertools.permutations(signed_double))) guesses = np.array(all_guesses) elif self.number >= 75: # Generate all double combinations double_indices = np.array(list(itertools.combinations(range(n_hkls), 2))) doubles = possible_hkls[double_indices] # Shape: (n_doubles, 2, 3) all_guesses = [] for double in doubles: all_guesses.extend(list(itertools.permutations(double))) guesses = np.array(all_guesses) elif self.number >= 16: triple_indices = np.array(list(itertools.combinations(range(n_hkls), 3))) triples = possible_hkls[triple_indices] # Shape: (n_triples, 3, 3) all_guesses = [] for triple in triples: all_guesses.extend(list(itertools.permutations(triple))) guesses = np.array(all_guesses) elif self.number >= 3: # Generate all quadruple combinations quadruple_indices = np.array(list(itertools.combinations(range(n_hkls), 4))) quadruples = possible_hkls[quadruple_indices] # Shape: (n_quadruples, 4, 3) base_signs = np.array([(1, 1, 1), (1, 1, -1)]) #from time import time #t0 = time() n_quads = len(quadruples) n_signs = len(base_signs) n_perms = 24 # 4! permutations quads_expanded = np.tile(quadruples[:, np.newaxis, :, :], (1, n_signs, 1, 1)) signs_expanded = np.tile(base_signs[np.newaxis, :, np.newaxis, :], (n_quads, 1, 4, 1)) signed_quads = quads_expanded * signs_expanded signed_quads = signed_quads.reshape(-1, 4, 3) perms = np.array(list(itertools.permutations(range(4)))) guesses = np.empty((n_signs * n_quads * n_perms, 4, 3), dtype=int) for i, perm in enumerate(perms): start_idx = i * n_signs * n_quads end_idx = (i + 1) * n_signs * n_quads guesses[start_idx:end_idx] = signed_quads[:, perm, :] #t1 = time() #if verbose: print("Time for generating quadruple hkl guesses:", t1 - t0, len(quadruples), len(guesses)) sums = np.sum(guesses**2, axis=(1, 2))#; print(len(sums)) ids = np.argsort(sums) sums = sums[sums <= total_square] ids = ids[:len(sums)] guesses = guesses[ids] #print("Debug", guesses[-1], total_square, max_square); import sys; sys.exit() if max_size is not None: if len(ids) > max_size: guesses = guesses[:max_size] if reduce: if verbose: print("Reducing hkl guesses...", len(guesses)) guesses = self.reduce_hkl_guesses(guesses) return guesses
[docs] def reduce_hkl_guesses(self, hkls): """ Reduce the hkl guesses by removing duplicates based on canonical forms. Args: hkls (list): np.ndarray of hkl guesses tuples Returns: list: Reduced hkls """ #print("Raw", len(hkls), "hkl guesses for space group", self.number) if 143 <= self.number <= 194: # must follow the ordering constraints if two hkls have the same signs # (h1, k1) >= (h2, k2) >= 0 condition1 = hkls[:, 0, :2] >= hkls[:, 1, :2] # (h1, k1) >= (h2, k2) condition2 = hkls[:, 1, :2] >= 0 # (h2, k2) >= 0 mask1 = np.all(condition1 & condition2, axis=1) condition3 = hkls[:, 0, :2] <= hkls[:, 1, :2] # (h1, k1) <= (h2, k2) condition4 = hkls[:, 1, :2] <= 0 # (h2, k2) <= 0 mask2 = np.all(condition3 & condition4, axis=1) mask3 = hkls[:, 0, 2] >= hkls[:, 1, 2] # l1 >= l2 mask = (mask1 | mask2) & mask3#; print(mask.sum(), mask1.sum(), mask2.sum(), mask3.sum()) hkls = hkls[~mask] #print("Reducing order", len(hkls), "hkl guesses for space group", self.number) B = np.zeros([len(hkls), 2, 2]) B[:,:,0] = 4/3 * (hkls[:,:,0] ** 2 + hkls[:,:,0] * hkls[:,:,1] + hkls[:,:,1] ** 2) B[:,:,1] = hkls[:,:,2] ** 2 hkls = hkls[np.linalg.det(B) != 0] #print("Reducing colinear", len(hkls), "hkl guesses for space group", self.number) elif 74 < self.number < 143: # must follow the ordering constraints mask1 = np.all(hkls[:,0,:] >= hkls[:,1,:], axis=1) # (h1, k1, l1) >= (h2, k2, l2) hkls = hkls[~mask1] #print("Reducing order", len(hkls), "hkl guesses for space group", self.number) # must be non-coplanar B = np.zeros([len(hkls), 2, 2]) B[:,:,0] = hkls[:,:,0] ** 2 + hkls[:,:,1] ** 2 B[:,:,1] = hkls[:,:,2] ** 2 hkls = hkls[np.linalg.det(B) != 0] # print("Reducing colinear", len(hkls), "hkl guesses for space group", self.number) elif 15 < self.number < 75: # must follow the ordering constraints mask1 = np.all(hkls[:,0,:] >= hkls[:,1,:], axis=1) # (h1, k1, l1) >= (h2, k2, l2) mask2 = np.all(hkls[:,1,:] >= hkls[:,2,:], axis=1) # (h2, k2, l2) >= (h3, k3, l3) mask3 = np.all(hkls[:,0,:] >= hkls[:,2,:], axis=1) # (h1, k1, l1) >= (h3, k3, l3) mask = mask1 | mask2 | mask3 hkls = hkls[~mask] B = np.zeros([len(hkls), 3, 3]) B[:,:,0] = hkls[:,:,0] ** 2 B[:,:,1] = hkls[:,:,1] ** 2 B[:,:,2] = hkls[:,:,2] ** 2 hkls = hkls[np.linalg.det(B) != 0] #print("Reduced to", len(hkls), "guesses after applying ordering constraints.") # remove duplicates based on canonical forms canonical_seen = set() unique_hkls = [] for guess in hkls: canonical = get_canonical_hkl_series(guess, self.number) if canonical not in canonical_seen: canonical_seen.add(canonical) unique_hkls.append(guess) hkls = unique_hkls #print("Reduced to", len(hkls), "guesses after removing duplicates.") elif 2 < self.number <= 15: # must follow the ordering constraints if two hkls have the same signs # (h1, k1) >= (h2, k2) >= 0 for (i, j) in [(0, 1), (1, 2), (2, 3), (0, 2), (0, 3), (1, 3)]: condition1 = np.all(hkls[:, i, 0::2] >= hkls[:, j, 0::2], axis=1) # (h1, l1) >= (h2, l2) condition2 = np.all(hkls[:, j, 0::2] >= 0, axis=1) # (h2, l2) >= 0 mask1 = condition1 & condition2 condition3 = np.all(hkls[:, i, 0::2] <= hkls[:, j, 0::2], axis=1) # (h1, l1) <= (h2, l2) condition4 = np.all(hkls[:, j, 0::2] <= 0, axis=1) # (h2, l2) <= 0 mask2 = condition3 & condition4 mask3 = hkls[:, i, 1] >= hkls[:, j, 1] # l1 >= l2 mask = (mask1 | mask2) & mask3#; print(mask.sum(), mask1.sum(), mask2.sum(), mask3.sum()) hkls = hkls[~mask] #print("Reduced to", len(hkls), "guesses after ordering.") B = np.zeros([len(hkls), 4, 4]) B[:,:,0] = hkls[:,:,0] ** 2 B[:,:,1] = hkls[:,:,1] ** 2 B[:,:,2] = hkls[:,:,2] ** 2 B[:,:,3] = hkls[:,:,0] * hkls[:,:,2] hkls = hkls[np.abs(np.linalg.det(B)) > 1e-8] #print("Reduced to", len(hkls), "guesses after removing duplicates.") return hkls #[tuple(map(tuple, guess)) for guess in hkls]
[docs] def check_hkl_in_list(self, hkl, hkl_list): """ Check if a given hkl is in the list of hkls considering symmetry. Args: hkl (tuple): The hkl tuple to check hkl_list (list): List of hkl tuples to check against Returns: bool: True if hkl is in hkl_list, False otherwise """ return sum(np.sum((hkl_list - hkl)**2, axis=(1,2))==0) > 0
[docs] def is_valid_combination(self, sites): """ Check if the solutions are valid. A special WP with zero freedom (0,0,0) cannot be occupied twice. Args: sites: list, e.g. ['4a', '8b'] or ['a', 'b'] Returns: True or False """ # remove the multiplicity: for i, site in enumerate(sites): if len(site) > 1: sites[i] = site[-1] for wp in self: letter = wp.letter if sites.count(letter) > 1: freedom = np.trace(wp.ops[0].rotation_matrix) > 0 if not freedom: return False return True
[docs] def list_wyckoff_combinations(self, numIons, quick=False, numWp=(None, None), Nmax=10000000): """ List all possible wyckoff combinations for the given formula. Note this is really designed for a light weight calculation. If the solution space is big, set quick as True. Args: numIons (list): [12, 8] quick (Boolean): quickly generate some solutions numWp (tuple): (min_wp, max_wp) Nmax: maximumly allowed combinations Returns: Combinations: list of possible sites has_freedom: list of boolean numbers indices: list of wp indices """ numIons = np.array(numIons) (min_wp, max_wp) = numWp # Must be greater than the number of smallest wp multiplicity if numIons.min() < self[-1].multiplicity or max_wp is not None and sum(numIons) > self[0].multiplicity * max_wp: return [], [], [] basis = [] # [8, 4, 4] letters = [] # ['c', 'b', 'a'] freedoms = [] # [False, False, False] ids = [] # [2, 3, 4] # obtain the basis for i, wp in enumerate(self): mul = wp.multiplicity letter = wp.letter freedom = np.trace(wp.ops[0].rotation_matrix) > 0 if mul <= max(numIons): if quick: if mul in basis and freedom: pass # elif mul in basis and basis.count(mul) >= 3: # pass else: basis.append(mul) letters.append(letter) freedoms.append(freedom) else: basis.append(mul) letters.append(letter) freedoms.append(freedom) ids.append(i) basis = np.array(basis) # quickly exit if np.min(numIons) < np.min(basis): # print(numIons, basis) return [], [] # odd and even elif np.mod(numIons, 2).sum() > 0 and np.mod(basis, 2).sum() == 0: # print("odd-even", numIons, basis) # return None, False return [], [], [] # print("basis", basis) # print("numIons", numIons) # obtain the maximum numbers for each basis # reset the maximum to 1 if there is no freedom # find the integer solutions # reset solutions according to max_wp max_solutions = np.floor(numIons[:, None] / basis) for i in range(len(freedoms)): if not freedoms[i]: max_solutions[:, i] = 1 if max_wp is not None: N_max = max_wp - (len(numIons) - 1) max_solutions[max_solutions > N_max] = N_max list_solutions = [] for i, numIon in enumerate(numIons): lists = [] prod = 1 for a in max_solutions[i]: if prod <= Nmax: # 10000000: d = int(a) + 1 lists.append(list(range(d))) prod *= d else: # If the size is too big, we terminate it asap lists.append([0]) # Terminate the list # break # print(len(lists), prod) sub_solutions = np.array(list(itertools.product(*lists))) N = sub_solutions.dot(basis) sub_solutions = sub_solutions[numIon == N] list_solutions.append(sub_solutions.tolist()) # print(i) # print(sub_solutions)#; import sys; sys.exit() if len(sub_solutions) == 0: return [], [], [] # Gather all solutions and remove very large number solutions solutions = np.array(list(itertools.product(*list_solutions))) dim1 = solutions.shape[0] dim2 = np.prod(solutions.shape[1:]) solutions = solutions.reshape([dim1, dim2]) if max_wp is not None: solutions_total = solutions.sum(axis=1) solutions = solutions[solutions_total <= max_wp] if min_wp is not None: solutions_total = solutions.sum(axis=1) solutions = solutions[solutions_total >= min_wp] # convert the results to list combinations = [] has_freedom = [] indices = [] for solution in solutions: res = solution.reshape([len(numIons), len(basis)]) _com = [] _free = [] _ids = [] # QZ: check what's going on for i, _ in enumerate(numIons): tmp = [] bad_resolution = False frozen = [] ids_in = [] for j, b in enumerate(basis): if not freedoms[j] and (res[:, j]).sum() > 1: bad_resolution = True break if res[i, j] > 0: symbols = [str(b) + letters[j]] * res[i, j] tmp.extend(symbols) frozen.extend([freedoms[j]]) ids_in.extend([ids[j]] * res[i, j]) if not bad_resolution: _com.append(tmp) _free.extend(frozen) _ids.append(ids_in) if len(_com) == len(numIons): combinations.append(_com) indices.append(_ids) if True in _free: has_freedom.append(True) else: has_freedom.append(False) return combinations, has_freedom, indices
[docs] def get_spg_symmetry_object(self): """ Generate the symmetry table for the given space group. It only supports space group now! """ if self.dim == 3: l_type, bravis = self.lattice_type, self.symbol[0] wp = self.get_wyckoff_position(0) ops = wp.get_euclidean_ops() if 143 <= self.number <= 194 else wp.ops if bravis in ["A", "B", "C", "I"]: ops = ops[: int(len(ops) / 2)] elif bravis == "R": ops = ops[: int(len(ops) / 3)] elif bravis == "F": ops = ops[: int(len(ops) / 4)] return site_symmetry(ops, l_type, bravis, self.number, wp_id=0, parse_trans=True) raise ValueError("Only supports space group symmetry")
[docs] def get_wyckoff_position(self, index): """ Returns a single Wyckoff_position object. Args: index: the index of the Wyckoff position within the group. Returns: a Wyckoff_position object """ if isinstance(index, str): # Extract letter from number-letter combinations ("4d"->"d") for c in index: if c.isalpha(): letter = c break index = index_from_letter(letter, self.wyckoffs, dim=self.dim) return self.Wyckoff_positions[index]
[docs] def get_wyckoff_position_from_xyz(self, xyz, decimals=4): """ Returns a single Wyckoff_position object. Args: xyz: a trial [x, y, z] coordinate Returns: a Wyckoff_position object """ xyz = np.round(np.array(xyz, dtype=float), decimals=decimals) xyz -= np.floor(xyz) for wp in self.Wyckoff_positions: pos = wp.apply_ops(xyz) pos -= np.floor(pos) is_present = np.any(np.all(pos == xyz, axis=1)) if is_present and len(pos) == len(np.unique(pos, axis=0)): return wp print("Cannot find the suitable wp for the given input") return None
[docs] def get_alternatives(self): """ Get the alternative settings as a dictionary """ if self.dim == 3: wyc_sets = loadfn(rf("pyxtal", "database/wyckoff_sets.json")) return wyc_sets[str(self.number)] else: msg = "Only supports the subgroups for space group" raise NotImplementedError(msg)
@classmethod def _get_max_k_subgroup(cls, number=None): """ Returns the maximal k-subgroups as a dictionary """ if number is None: number = cls.number k_subgroup = SYMDATA.get_k_subgroup() return k_subgroup[str(number)] @classmethod def _get_max_t_subgroup(cls, number=None): """ Returns the maximal t-subgroups as a dictionary """ if number is None: number = cls.number t_subgroup = SYMDATA.get_t_subgroup() return t_subgroup[str(number)]
[docs] def get_max_k_subgroup(self): return self._get_max_k_subgroup(self.number)
[docs] def get_max_t_subgroup(self): return self._get_max_t_subgroup(self.number)
[docs] def get_max_subgroup(self, H): """ Returns the dicts for both t and k subgroup according the to trail group H Args: H (int): 1-230 """ #if self.point_group == Group(H, quick=True).point_group: if self.point_group == get_point_group(H): g_type = "k" dicts = self.get_max_k_subgroup() else: g_type = "t" dicts = self.get_max_t_subgroup() return dicts, g_type
[docs] def get_wp_list(self, reverse=False): """ Get the reversed list of wps """ # wp_list = [(str(x.multiplicity)+x.letter) for x in self.Wyckoff_positions] wp_list = [(x.get_label()) for x in self.Wyckoff_positions] if reverse: wp_list.reverse() return wp_list
[docs] def get_splitters_from_structure(self, struc, group_type="t"): """ Get the valid symmetry relations for a structure to its supergroup e.g., Args: - struc: pyxtal structure - group_type: `t` or `k` Returns: list of valid transitions [(id, (['4a'], ['4b'], [['4a'], ['4c']])] """ if group_type == "t" : dicts = self.get_max_t_subgroup() else: dicts = self.get_max_k_subgroup() # search for the compatible solutions solutions = [] for i, sub in enumerate(dicts["subgroup"]): if sub == struc.group.number: # extract the relation relation = dicts["relations"][i] trans = np.linalg.inv(dicts["transformation"][i][:, :3]) if struc.lattice.check_mismatch(trans, self.lattice_type): results = self.get_splitters_from_relation(struc, relation) if results is not None: sols = list(itertools.product(*results)) trials = self.get_valid_solutions(sols) solutions.append((i, trials)) return solutions
[docs] def get_splitters_from_relation(self, struc, relation): """ Get the valid symmetry relations for a structure to its supergroup e.g., Args: - struc: pyxtal structure - group_type: `t` or `k` Returns: list of valid transitions """ elements, sites = struc._get_elements_and_sites() wp_list = self.get_wp_list(reverse=True) good_splittings_list = [] # search for all valid compatible relations # each element is solved one at a time for site in sites: # ['4a', '4a', '2b'] -> ['4a', '2b'] _site = np.unique(site) _site_counts = [site.count(x) for x in _site] wp_indices = [] # the sum of all positions should be fixed. total_units = 0 for j, x in enumerate(_site): total_units += int(x[:-1]) * _site_counts[j] # collect all possible supergroup transitions for j, split in enumerate(relation): if np.all([x in site for x in split]): wp_indices.append(j) wps = [wp_list[x] for x in wp_indices] blocks = [np.array([relation[j].count(s) for s in _site]) for j in wp_indices] block_units = [sum([int(x[:-1]) * block[j] for j, x in enumerate(_site)]) for block in blocks] # below is a brute force search for the valid combinations combo_storage = [np.zeros(len(block_units))] good_list = [] while len(combo_storage) > 0: holder = [] for x in combo_storage: for k in range(len(block_units)): # trial solution trial = np.array(deepcopy(x), dtype=int) trial[k] += 1 if trial.tolist() in holder: continue sum_units = np.dot(trial, block_units) if sum_units > total_units: continue if sum_units < total_units: holder.append(trial.tolist()) else: tester = np.zeros(len(_site_counts)) for l, z in enumerate(trial): tester += z * blocks[l] if np.all(tester == _site_counts): G_sites = [wp for wp, num in zip( wps, trial) for _ in range(max(num, 1)) if num > 0] if G_sites not in good_list: good_list.append(G_sites) combo_storage = holder if len(good_list) == 0: return None else: good_splittings_list.append(good_list) return good_splittings_list
[docs] def get_min_supergroup(self, group_type="t", G=None): """ Returns the minimal supergroups as a dictionary """ if self.dim == 3: dicts = { "supergroup": [], "transformation": [], "relations": [], "idx": [], } sgs = range(1, 231) if G is None else G for sg in sgs: subgroups = None if group_type == "t": if sg > self.number: subgroups = Group._get_max_t_subgroup(sg) else: #g1 = Group(sg) if self.point_group == get_point_group(sg): subgroups = Group._get_max_k_subgroup(sg) if subgroups is not None: for i, sub in enumerate(subgroups["subgroup"]): if sub == self.number: trans = subgroups["transformation"][i] relation = subgroups["relations"][i] dicts["supergroup"].append(sg) dicts["transformation"].append(trans) dicts["relations"].append(relation) dicts["idx"].append(i) return dicts else: msg = "Only supports the supergroups for space group" raise NotImplementedError(msg)
@classmethod def _get_max_subgroup_numbers(cls, number, max_cell=9): """ Returns the minimal supergroups as a dictionary """ groups = [] sub_k = Group._get_max_k_subgroup(number) sub_t = Group._get_max_t_subgroup(number) k = sub_k["subgroup"] t = sub_t["subgroup"] for i, n in enumerate(t): if np.linalg.det(sub_t["transformation"][i][:3, :3]) <= max_cell: groups.append(n) for i, n in enumerate(k): if np.linalg.det(sub_k["transformation"][i][:3, :3]) <= max_cell: groups.append(n) return groups
[docs] def get_max_subgroup_numbers(self, max_cell=9): """ Returns the minimal supergroups as a dictionary """ groups = [] if self.dim == 3: sub_k = self.get_max_k_subgroup() sub_t = self.get_max_t_subgroup() k = sub_k["subgroup"] t = sub_t["subgroup"] for i, n in enumerate(t): if np.linalg.det(sub_t["transformation"][i][:3, :3]) <= max_cell: groups.append(n) for i, n in enumerate(k): if np.linalg.det(sub_k["transformation"][i][:3, :3]) <= max_cell: groups.append(n) return groups else: msg = "Only supports the subgroups for space group" raise NotImplementedError(msg)
[docs] def check_compatible(self, numIons, verbose=False): """ Checks if the number of atoms is compatible with the Wyckoff positions. Considers the number of degrees of freedom for each Wyckoff position, and makes sure at least one valid combination of WP's exists. Args: numIons: list of integers verbose: bool, whether to print the process Returns: Compatible: True/False has_freedom: True/False """ from pyxtal.util import get_wyc_from_comp base, upper_bounds = self._get_base_and_upper_bounds() if verbose: print("\nInput Composition: ", numIons) strs = f"Space Group {self.number:5d}: " for wp in self: strs += f" {wp.multiplicity}{wp.letter}" if wp.get_dof() == 0: strs += "*" print(strs) print("Base WP Choices: ", base) print("Upper Bounds: ", upper_bounds) sols = get_wyc_from_comp(numIons, base, upper_bounds, verbose=verbose, max_wyc=1) if len(sols) > 0: return True, sols[0][1] # Return the first solution's freedom status else: if verbose: print(f"No valid Wyckoff positions for {numIons} in {self.symbol}.") return False, False
def _get_base_and_upper_bounds(self): """ Get the base and upper bounds for the Wyckoff positions. The base is a list of unique multiplicities, and the upper bounds are the maximum number of times each multiplicity can be occupied. If a Wyckoff position has zero degrees of freedom, it can only be occupied once. For example, space group 221 has Wyckoff positions: 48n, 24m, 24l, 24k, 12j, 12i, 12h, 8g, 6f, 6e, 3d, 3c, 1b, 1a. The base is [48, 24, 12, 8, 6, 3, 1]. The upper bounds are [None, None, None, None, None, 2, 2]. """ base, upper_bounds = [], [] for wp in self: if wp.multiplicity not in base: base.append(wp.multiplicity) if wp.get_dof() > 0: upper_bounds.append(None) else: upper_bounds.append(1) else: idx = base.index(wp.multiplicity) if upper_bounds[idx] is not None: if wp.get_dof() > 0: upper_bounds[idx] = None else: upper_bounds[idx] += 1 return base, upper_bounds
[docs] def search_supergroup_paths(self, H, max_layer=5): """ Search paths to transit to super group H. if - path1 is a>>e - path2 is a>>b>>c>>e path 2 will not be counted since path 1 exists Args: H: final supergroup number max_layer: the number of supergroup calculations needed. Returns: list of possible paths ordered from G to H """ layers = {} layers[0] = { "groups": [H], "subgroups": [], } final = [] traversed = [] # Searches for every subgroup of the the groups from the previous layer. # stores the possible groups of each layer and their subgroups # in a dictinoary to avoid redundant calculations. for l in range(1, max_layer + 1): previous_layer_groups = layers[l - 1]["groups"] groups = [] subgroups = [] for g in previous_layer_groups: #subgroup_numbers = np.unique(Group(g, quick=True).get_max_subgroup_numbers()) subgroup_numbers = np.unique(Group._get_max_subgroup_numbers(g)) # If a subgroup list has been found with H # trace a path through the dictionary to build the path if self.number in subgroup_numbers: paths = [[g]] for j in reversed(range(l - 1)): holder = [] for path in paths: tail_number = path[-1] indices = [ idx for idx, numbers in enumerate(layers[j]["subgroups"]) if tail_number in numbers ] holder.extend([path + [layers[j]["groups"][idx]] for idx in indices]) # noqa: RUF005 paths = deepcopy(holder) final.extend(paths) subgroups.append([]) # Continue to generate next layer if the path to H has not been found. else: subgroups.append(subgroup_numbers) groups.extend( [x for x in subgroup_numbers if x not in groups and x not in traversed]) traversed.extend(groups) layers[l] = {"groups": deepcopy(groups), "subgroups": []} layers[l - 1]["subgroups"] = deepcopy(subgroups) return final
[docs] def path_to_subgroup(self, H): """ For a given a path, extract the a list of (g_types, subgroup_id, spg_number, wp_list (optional)) """ path_list = [] paths = self.search_subgroup_paths(H) if len(paths) > 0: path = paths[0] sg0 = path[0] pg0 = get_point_group(path[0]) #pg0 = Group(path[0], quick=True) for p in path[1:]: pg1 = get_point_group(p) if pg0 == pg1: g_type = "k" spgs = Group._get_max_k_subgroup(sg0)["subgroup"] else: g_type = "t" spgs = Group._get_max_t_subgroup(sg0)["subgroup"] for spg in spgs: if spg == p: break path_list.append((g_type, id, p)) pg0 = pg1 return path_list
[docs] def search_subgroup_paths(self, G, max_layer=5): """ Search paths to transit to subgroup H. if - path1 is a>>e - path2 is a>>b>>c>>e path 2 will not be counted since path 1 exists Args: G: final subgroup number max_layer: the number of supergroup calculations needed. Returns: list of possible paths ordered from H to G """ tmp = Group(G, quick=True) paths = tmp.search_supergroup_paths(self.number, max_layer=max_layer) for p in paths: p.reverse() p.append(G) return paths
[docs] def add_k_transitions(self, path, n=1): """ Adds additional k transitions to a subgroup path. ONLY n = 1 is supported for now. It will return viable additions in front of each group in the path. Args: path: a single result of search_subgroup_paths function n: number of extra k transitions to add to the given path Returns: a list of maximal subgroup chains with extra k type transitions """ if n != 1: print("only 1 extra k type supported at this time") return None k_subgroup = SYMDATA.get_k_subgroup() t_subgroup = SYMDATA.get_t_subgroup() solutions = [] for i in range(len(path[:-1])): g = path[i] h = path[i + 1] options = set(k_subgroup[str(g)]["subgroup"] + t_subgroup[str(g)]["subgroup"]) # print(g, h, options) for _g in options: ls = k_subgroup[str(_g)]["subgroup"] + \ t_subgroup[str(_g)]["subgroup"] if h in ls: sol = deepcopy(path) sol.insert(i + 1, _g) solutions.append(sol) # https://stackoverflow.com/questions/2213923/removing-duplicates-from-a-list-of-lists solutions.sort() return [k for k, _ in itertools.groupby(solutions)]
[docs] def path_to_general_wp(self, index=1, max_steps=1): """ Find the path to transform the special wp into general site Args: index: the index of starting wp max_steps: the number of steps to search Return: a list of (g_types, subgroup_id, spg_number, wp_list (optional)) """ k_subgroup = SYMDATA.get_k_subgroup() t_subgroup = SYMDATA.get_t_subgroup() label = [self[index].get_label()] potential = [[(None, None, self.number, label)]] solutions = [] for _step in range(max_steps): _potential = [] for p in potential: tail = p[-1] tdict = t_subgroup[str(tail[2])] len_t = len(tdict["subgroup"]) kdict = k_subgroup[str(tail[2])] len_k = len(kdict["subgroup"]) _indexs = [ord(x[-1]) - 97 for x in tail[3]] next_steps = [ [ ( "t", i, tdict["subgroup"][i], functools.reduce( operator.iadd, [tdict["relations"][i][_index] for _index in _indexs], []), ) ] for i in range(len_t) ] + [ [ ( "k", i, kdict["subgroup"][i], functools.reduce( operator.iadd, [kdict["relations"][i][_index] for _index in _indexs], []), ) ] for i in range(len_k) if kdict["subgroup"][i] != tail[2] ] _potential.extend([deepcopy(p) + n for n in next_steps]) potential = _potential solutions.extend( [ deepcopy(p)[1:] for p in potential if (len(set(p[-1][3])) == 1 and p[-1][3][0][-1] == Wyckoff_position.from_group_and_index(p[-1][2], 0).letter) ] ) potential = [ p for p in potential if not (len(set(p[-1][3])) == 1 and p[-1][3][0][-1] == Wyckoff_position.from_group_and_index(p[-1][2], 0).letter) ] return solutions
[docs] def path_to_zp2(self): """ Find a path to split general wp to zp=2. """ if self.number in [195, 196, 197, 198, 199]: sub = self.get_max_t_subgroup() #print(self.number, sub['index']) H = [sub['subgroup'][i] for i, id in enumerate(sub['index']) if id == 3] g_type = 't' else: if self.number in [1, 2, 3, 4, 5, 6, 7, 8, 9, 143, 144, 145, 146]: # k_subgroup sub = self.get_max_k_subgroup() g_type = 'k' else: # t_subgroup sub = self.get_max_t_subgroup() g_type = 't' H = [sub['subgroup'][i] for i, id in enumerate(sub['index']) if id == 2] return H, g_type
[docs] def short_path_to_general_wp(self, index=1, t_only=False): """u Find a short path to turn the spcical wp to general position Args: index: index of the wp t_only: only consider t_spliting """ for i in range(1, 5): paths = self.path_to_general_wp(index, max_steps=i) if len(paths) > 0: last_gs = np.array([p[-1][2] for p in paths]) if t_only: last_gs[last_gs > len(self[0])] = 0 max_id = np.argmax(last_gs) return paths[max_id] return None
[docs] def get_valid_solutions(self, solutions): """ Check if the solutions are valid. A special WP such as (0,0,0) cannot be occupied twice. Args: solutions: list of solutions about the distibution of WP sites Returns: the filtered solutions that are vaild """ valid_solutions = [] for solution in solutions: sites = [] for s in solution: sites.extend(s) if self.is_valid_combination(sites): valid_solutions.append(solution) return valid_solutions
[docs] def cellsize(self): """ Returns the number of duplicate atoms in the conventional lattice (in contrast to the primitive cell). Based on the type of cell centering (P, A, C, I, R, or F) """ if self.dim in [0, 1]: # Rod and point groups return 1 elif self.dim == 2: # Layer groups if self.number in [10, 13, 18, 22, 26, 35, 36, 47, 48]: return 2 else: return 1 else: # space groups if self.symbol[0] == "P": return 1 # P elif self.symbol[0] == "R": return 3 # R elif self.symbol[0] == "F": return 4 # F else: return 2 # A, C, I
[docs] def get_free_axis(self): """ Get the free axis that can perform continus translation """ number = self.number if number == 1: return [0, 1, 2] elif number == 2: return [] elif 3 <= number <= 5: return [1] # '2' elif 6 <= number <= 9: return [0, 2] # 'm' elif 10 <= number <= 24: return [] # '2/m', '222' elif 25 <= number <= 46: return [2] # 'mm2' elif 47 <= number <= 74: return [] # 'mmm' elif 75 <= number <= 80: return [2] # '4' elif 81 <= number <= 98: return [] # '-4', '4/m', '422' elif 99 <= number <= 110: return [2] # '4mm' elif 111 <= number <= 142: return [] # '-42m', '4/mmm' elif 143 <= number <= 146: return [2] # '3' elif 147 <= number <= 155: return [] # '-3', '32' elif 156 <= number <= 161: return [2] # '3m' elif 162 <= number <= 167: return [] # '-3m' elif 168 <= number <= 173: return [2] # '6' elif 174 <= number <= 182: return [] # '-6', '6/m', '622' elif 183 <= number <= 186: return [2] # '6mm' elif 187 <= number <= 194: return [] # '-62m', '6/mmm' elif 195 <= number <= 230: return [] # '23', 'm-3', '432', '-43m', 'm-3m', return None
[docs] @classmethod def list_groups(cls, dim=3): """ Function for quick print of groups and symbols. Args: group: the group symbol or international number dim: the periodic dimension of the group """ import pandas as pd keys = { 3: "space_group", 2: "layer_group", 1: "rod_group", 0: "point_group", } group_symbols = loadfn(rf("pyxtal", "database/symbols.json")) data = group_symbols[keys[dim]] index = range(1, len(data) + 1) df = pd.DataFrame(index=index, data=data, columns=[keys[dim]]) pd.set_option("display.max_rows", len(df)) print(df)
[docs] def get_index_by_letter(self, letter): """ Get the wp object by the letter. """ if len(letter) > 1: letter = letter[-1] # print(letter); print(letters.index(letter)) return len(self) - letters.index(letter) - 1
[docs] def get_wp_by_letter(self, letter): """ Get the wp object by the letter. """ return self[self.get_index_by_letter(letter)]
[docs] def get_symmetry_directions(self): """ Table 2.1.3.1 from International Tables for Crystallography (2016). Vol. A, Chapter 2.1, pp. 142-174. including Primary, secondary and Tertiary """ return get_symmetry_directions(self.lattice_type, self.symbol[0])
# ----------------------- Wyckoff Position class ------------------------
[docs] class Wyckoff_position: """ Class for a single Wyckoff position within a symmetry group Examples -------- >>> from pyxtal.symmetry import Wyckoff_position as wp >>> wp.from_group_and_index(19, 0) Wyckoff position 4a in space group 19 with site symmetry 1 x, y, z -x+1/2, -y, z+1/2 -x, y+1/2, -z+1/2 x+1/2, -y+1/2, -z """
[docs] @classmethod def from_dict(cls, dictionary): """ Constructs a Wyckoff_position object using a dictionary. """ wp = cls() for key in dictionary: setattr(wp, key, dictionary[key]) # wp.get_site_symmetry() wp.set_euclidean() # For nonstandard setting only if wp.P1 is not None and not identity_ops(wp.P1): wp.set_generators() wp.set_ops() return wp
[docs] @classmethod def from_group_and_letter(cls, group, letter, dim=3, style="pyxtal", hn=None): """ Creates a Wyckoff_position using the space group number and index Args: group: the international number of the symmetry group letter: e.g. 4a dim: the periodic dimension of the crystal style: 'pyxtal' or spglib, differing in the choice of origin hn: hall_number """ for c in letter: if c.isalpha(): letter = c break ops_all = get_wyckoffs(group, dim=dim) index = index_from_letter(letter, ops_all, dim=dim) if hn is not None: wp = cls.from_group_and_index( hn, index, dim, use_hall=True, wyckoffs=ops_all) else: wp = cls.from_group_and_index( group, index, dim, style=style, wyckoffs=ops_all) return wp
[docs] @classmethod def from_group_and_index(cls, group, index, dim=3, use_hall=False, style="pyxtal", wyckoffs=None): """ Creates a Wyckoff_position using the space group number and index Args: group: the international number of the symmetry group index: the index of the Wyckoff position within the group. dim: the periodic dimension of the crystal use_hall (default: False): whether or not use the hall number style (default: `pyxtal`): 'pyxtal' or 'spglib' for hall number """ number, hall_number, P, P1 = group, None, None, None if not use_hall: symbol, number = get_symbol_and_number(group, dim) else: symbol = HALL_TABLE["Symbol"][group - 1] number = HALL_TABLE["Spg_num"][group - 1] pbc, lattice_type = get_pbc_and_lattice(number, dim) if dim == 3: PBC = [1, 1, 1] if not use_hall: if style == "pyxtal": hall_number = pyxtal_hall_numbers[number - 1] else: hall_number = spglib_hall_numbers[number - 1] P = abc2matrix(HALL_TABLE["P"][hall_number - 1]) P1 = abc2matrix(HALL_TABLE["P^-1"][hall_number - 1]) else: hall_number = group P = abc2matrix(HALL_TABLE["P"][hall_number - 1]) P1 = abc2matrix(HALL_TABLE["P^-1"][hall_number - 1]) directions = get_symmetry_directions(lattice_type, symbol[0]) elif dim == 2: PBC = [1, 1, 0] directions = None elif dim == 1: PBC = [0, 0, 1] directions = None if wyckoffs is None: wyckoffs = get_wyckoffs(number, dim=dim) wpdict = { "index": index, "letter": letter_from_index(index, wyckoffs, dim=dim), "ops": wyckoffs[index], "multiplicity": len(wyckoffs[index]), "symmetry": get_wyckoff_symmetry(number, dim=dim)[index], "PBC": PBC, "dim": dim, "number": number, "P": P, "P1": P1, "hall_number": hall_number, "symbol": symbol, "directions": directions, "lattice_type": lattice_type, } return cls.from_dict(wpdict)
[docs] @classmethod def from_symops_wo_group(cls, ops): """ search Wyckoff Position by symmetry operations Now only supports space group symmetry Assuming general position only Args: ops: a list of symmetry operations Returns: `Wyckoff_position` """ _, spg_num = get_symmetry_from_ops(ops) wp = cls.from_group_and_index(spg_num, 0) if isinstance(ops[0], str): ops = [SymmOp.from_xyz_str(op) for op in ops] wp.ops = ops match_spg, match_hm = wp.update() # print("match_spg", match_spg, "match_hall", match_hm) return wp
[docs] @classmethod def from_symops(cls, ops, G): """ search Wyckoff Position by symmetry operations Args: ops: a list of symmetry operations G: the Group object Returns: `Wyckoff_position` """ if isinstance(ops[0], str): ops = [SymmOp.from_xyz_str(op) for op in ops] for wp in G: if wp.has_equivalent_ops(ops): return wp if isinstance(ops[0], str): print(ops) else: for op in ops: print(op.as_xyz_str()) raise RuntimeError("Cannot find the right wp")
[docs] def from_index_quick(self, wyckoffs, index, P=None, P1=None): """ A short cut to create the WP object from a given index ignore the site symmetry and generators Mainly used for the update function Args: wyckoffs: wyckoff position index: index of wp P: transformation matrix (rot + trans) """ if P is None: P = self.P P1 = self.P1 wpdict = { "index": index, "letter": letter_from_index(index, wyckoffs, dim=self.dim), "ops": wyckoffs[index], "multiplicity": len(wyckoffs[index]), "PBC": self.PBC, "dim": self.dim, "number": self.number, "P": P, "P1": P1, "hall_number": self.hall_number, } return Wyckoff_position.from_dict(wpdict)
# =============================Fundamentals=========================== def __str__(self, supress=False): if self.dim not in [0, 1, 2, 3]: return "invalid crystal dimension. Must be between 0 and 3." if not hasattr(self, "site_symm"): self.get_site_symmetry() s = "Wyckoff position " + self.get_label() + " in " if self.dim == 3: s += "space " elif self.dim == 2: s += "layer " elif self.dim == 1: s += "Rod " elif self.dim == 0: s += "Point group " + self.symbol if self.dim != 0: s += "group " + str(self.number) s += " with site symmetry " + self.site_symm if not supress: for op in self.ops: s += "\n" + op.as_xyz_str() self.string = s return self.string def __repr__(self): return str(self) def __iter__(self): yield from self.ops def __getitem__(self, index): return self.ops[index] def __len__(self): return self.multiplicity
[docs] def copy(self): """ Simply copy the structure """ return deepcopy(self)
[docs] def save_dict(self): return { "group": self.number, "index": self.index, "dim": self.dim, # "transformation": self.get_transformation(), }
[docs] @classmethod def load_dict(cls, dicts): g = dicts["group"] index = dicts["index"] dim = dicts["dim"] return Wyckoff_position.from_group_and_index(g, index, dim)
# =============================Updates===========================
[docs] def set_ops(self): self.ops = self.get_ops_from_transformation()
[docs] def get_ops_from_transformation(self): """ Get symmetry operation from the generators """ # Get the position for the 1st site ops1 = [] if self.index > 0: if self.P1 is not None and not identity_ops(self.P1): for op in self.ops: rot_P = self.P[0].T rot_Q = self.P1[0].T tran_P = self.P[1] # R = Q * R * P, suitable when P = {a-c, b, c} tran = rot_Q.dot(op.translation_vector) - tran_P rot = rot_Q.dot(op.rotation_matrix).dot(rot_P) op0 = SymmOp.from_rotation_and_translation(rot, tran) ops1.append(op0) # print(op0.as_xyz_str()) ops1 = trim_ops(ops1) else: op0 = self.ops[0] else: ops1 = self.generators return ops1
[docs] def update(self): """ update the spacegroup information if needed """ match_spg, match_hall = False, False match_spg = self.update_index() if not match_spg: match_hall = self.update_hall() if not match_spg and not match_hall: print("match_spg", match_spg, "match_hall", match_hall) print(self) print(self.get_hm_symbol()) raise RuntimeError("Cannot find the right hall_number") return match_spg, match_hall
[docs] def update_hall(self, hall_numbers=None): """ update the Hall number when the symmetry operation changes Args: hall_numbers: a list of numbers for consideration """ # print("test", self) if hall_numbers is None: hall_numbers = Hall(self.number).hall_numbers candidates = self.process_ops() success = False for hall_number in hall_numbers: P = abc2matrix(HALL_TABLE["P"][hall_number - 1]) P1 = abc2matrix(HALL_TABLE["P^-1"][hall_number - 1]) wyckoffs = get_wyckoffs(self.number, dim=self.dim) # Fist check the original index wp2 = self.from_index_quick(wyckoffs, self.index, P, P1) for ops in candidates: if wp2.has_equivalent_ops(ops): success = True # print("same letter") #; import sys; sys.exit() break # Check other sites if not success: for i in range(len(wyckoffs)): if i != self.index and len(wyckoffs[i]) == self.multiplicity: wp2 = self.from_index_quick(wyckoffs, i, P, P1) for ops in candidates: if wp2.has_equivalent_ops(ops): success = True self.index = i self.letter = wp2.letter # print("new letter") break if success: break if success: self.hall_number = hall_number self.P = wp2.P self.P1 = wp2.P1 self.ops = wp2.ops return True return False
[docs] def update_index(self): """ Check if needs to update the index due to lattice transformation """ wyckoffs = get_wyckoffs(self.number, dim=self.dim) wp2 = self.from_index_quick(wyckoffs, self.index) if self.has_equivalent_ops(wp2): return True else: for i in range(len(wyckoffs)): if i != self.index and len(wyckoffs[i]) == self.multiplicity: wp2 = self.from_index_quick(wyckoffs, i) if self.has_equivalent_ops(wp2): self.index = i self.letter = wp2.letter # adjust to normal self.ops = wp2.ops return True return False
[docs] def transform_from_matrices(self, trans): """ Args: trans: a list of transformation matrices """ for tran in trans: self.transform_from_matrix(tran, False)
[docs] def transform_from_matrix(self, trans=None, reset=True, update=False): """ Transform the symmetry operation according to cell transformation. Mostly needed when optimizing the lattice """ if trans is None: if self.number in [7, 9, 13, 14, 15]: trans = np.array([[1, 0, 0], [0, 1, 0], [1, 0, 1]]) elif self.number in [5, 8, 9, 12]: trans = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]]) if 2 < self.number < 16: #ops = Group(self.number)[self.index] if reset else self.ops if reset: ops = Wyckoff_position.from_group_and_index(self.number, self.index) else: ops = self.ops for j, op in enumerate(ops): vec = op.translation_vector.dot(trans) vec -= np.floor(vec) op1 = op.from_rotation_and_translation(op.rotation_matrix, vec) self.ops[j] = op1 if update: self.update_hall()
[docs] def process_ops(self): """ handle some annoying cases e.g., in I2, ['1/2, y, 1/2', '0, y+1/2, 0'] can be transfered to ['0, y, 0', '1/2, y+1/2, 1/2'] """ opss = [self.ops] if self.number in [5, 12] and self.index > 0: # replace y with y+1/2 op2 = SymmOp.from_xyz_str("x, y+1/2, z") ops = [op2 * op for op in self.ops] opss.append(ops) if self.number in [13] and self.index > 0: op2 = SymmOp.from_xyz_str("x, -y, z") ops = [op2 * op for op in self.ops] opss.append(ops) # for op in ops: print('AAAA', op.as_xyz_str()) return opss
[docs] def equivalent_set(self, index): """ Transform the wp to another equivalent set. Needs to update both wp and positions Args: transformation: index """ if self.index > 0: G = Group(self.number) if len(G[index]) != len(G[self.index]): msg = f"Spg {self.number:d}, Invalid switch in Wyckoff Pos\n" msg += str(self) msg += "\n" + str(G[index]) raise ValueError(msg) return G[index] return self
# =============================Get functions===========================
[docs] def get_site_symm_wo_translation(self): return [SymmOp.from_rotation_and_translation(op.rotation_matrix, [0, 0, 0]) for op in self.symmetry[0]]
[docs] def get_site_symmetry_object(self, idx=0): ops = self.get_site_symm_ops(idx)#; print(self.number, self.index, self.letter) return site_symmetry(ops, self.lattice_type, self.symbol[0], self.number, self.index)
[docs] def get_site_symmetry(self, idx=0): ss = self.get_site_symmetry_object(idx) # ss_string_from_ops(ops, self.number, dim=self.dim) self.site_symm = ss.name
[docs] def get_site_symm_ops(self, idx=0): return self.get_euclidean_symmetries(idx) if self.euclidean else self.symmetry[idx]
[docs] def get_hm_number(self, tol=1e-5): if self.index == 0: return get_symmetry_from_ops(self.ops, tol)[0] else: print(self) raise ValueError("input must be general position")
[docs] def get_hm_symbol(self): """ Get Hermann-Mauguin symbol """ return HALL_TABLE["Symbol"][self.hall_number - 1]
[docs] def get_dof(self): """ Simply return the degree of freedom """ return np.linalg.matrix_rank(self.ops[0].rotation_matrix)
[docs] def get_label(self): """ get the string like 4a """ return str(self.multiplicity) + self.letter
[docs] def get_frozen_axis(self): if self.index == 0: return [] elif self.get_dof() == 0: return [0, 1, 2] else: if self.number >= 75: # if self.ops[0].rotation_matrix[2,2] == 1: # return [0, 1] # else: # return [0, 1, 2] return [ax for ax in range(3) if self.ops[0].rotation_matrix[ax, ax] == 0] else: if self.get_dof() == 1: if self.ops[0].rotation_matrix[2, 2] == 1: return [0, 1] elif self.ops[0].rotation_matrix[1, 1] == 1: return [0, 2] elif self.ops[0].rotation_matrix[0, 0] == 1: return [1, 2] return None else: if self.ops[0].rotation_matrix[2, 2] != 1: return [2] elif self.ops[0].rotation_matrix[1, 1] != 1: return [1] elif self.ops[0].rotation_matrix[0, 0] != 1: return [0] return None
[docs] def get_euclidean_symmetries(self, idx=0): """ return the symmetry operation object at the Euclidean space Returns: list of pymatgen SymmOp object """ if idx >= len(self.symmetry): raise ValueError( f"Cannot pick {idx:d} in {len(self.symmetry):d} operations") ops = [] for op in self.symmetry[idx]: hat = SymmOp.from_rotation_and_translation(hex_cell, [0, 0, 0]) ops.append(hat * op * hat.inverse) return ops
[docs] def get_euclidean_ops(self): """ return the symmetry operation object at the Euclidean space Returns: list of pymatgen SymmOp object """ ops = [None] * len(self.ops) for i, op in enumerate(self.ops): hat = SymmOp.from_rotation_and_translation(hex_cell, [0, 0, 0]) op_tmp = hat * op * hat.inverse ops[i] = op_tmp.from_rotation_and_translation( op_tmp.rotation_matrix, op.translation_vector) # ops[i].translation_vector = op.translation_vector return ops
[docs] def get_euclidean_generator(self, cell, idx=0): """ return the symmetry operation object at the Euclidean space Args: cell: 3*3 cell matrix idx: the index of wp generator Returns: pymatgen SymmOp object """ if not hasattr(self, "generators"): self.set_generators() op = self.generators[idx] if self.euclidean: hat = SymmOp.from_rotation_and_translation(cell.T, [0, 0, 0]) op = hat * op * hat.inverse return op
[docs] def get_free_xyzs(self, pos, perturb=False, eps=0.1, random_state: int | None | Generator = None): """ return the free xyz paramters from the given xyz position Args: pos (array): a 3-array to describe x, y, z perturb (bool): whether or not apply perturbation eps (float): the magnitude of perturbations Returns: free xyz array """ if isinstance(random_state, Generator): random_state = random_state.spawn(1)[0] else: random_state = np.random.default_rng(random_state) # print(self.apply_ops(pos)[0]) res = self.apply_ops(pos)[0] res = np.delete(res, self.get_frozen_axis()) if perturb: res += eps * random_state.random(len(res)) - 0.5 res -= np.floor(res) return res
[docs] def get_position_from_free_xyzs(self, xyz): """ generate the full xyz position from the free xyzs """ pos = np.zeros(3) frozen = self.get_frozen_axis() count = 0 for axis in range(3): if axis not in frozen: pos[axis] = xyz[count] count += 1 pos = self.apply_ops(pos)[0] pos -= np.floor(pos) return pos
[docs] def get_all_positions(self, pos): """ return the list of position from any single coordinate from wp. The position does not have to be the 1st number in the wp list >>> from pyxtal.symmetry import Group >>> wp2 = Group(62)[-1] >>> wp2 Wyckoff position 4a in space group 62 with site symmetry -1 0, 0, 0 1/2, 0, 1/2 0, 1/2, 0 1/2, 1/2, 1/2 >>> wp2.get_all_positions([1/2, 1/2, 1/2]) array([[0. , 0. , 0. ], [0.5, 0. , 0.5], [0. , 0.5, 0. ], [0.5, 0.5, 0.5]]) """ pos0 = self.search_generator(pos) if pos0 is not None: res = self.apply_ops(pos0) res -= np.floor(res) return res else: return None
# =============================Evaluations===========================
[docs] def is_standard_setting(self): """ Check if the symmetry operation follows the standard setting """ G_ops = get_wyckoffs(self.number, dim=self.dim) for i, ops in enumerate(G_ops): if self.has_equivalent_ops(ops): self.ops = ops self.index = i self.letter = letter_from_index(i, G_ops, dim=self.dim) return True return False
[docs] def has_equivalent_ops(self, wp2, tol=1e-3): """ check if two wps are equivalent Args: wp2: wp object or list of operations """ ops0 = wp2 if isinstance(wp2, list) else wp2.ops if len(ops0) == len(self.ops): count = 0 for _i, op0 in enumerate(ops0): for _j, op1 in enumerate(self.ops): diff0 = op0.translation_vector - op1.translation_vector diff0 -= np.rint(diff0) diff1 = op0.rotation_matrix - op1.rotation_matrix if max([np.abs(diff0).sum(), np.abs(diff1).sum()]) < tol: count += 1 return count == len(ops0) else: return False
[docs] def is_pure_translation(self, id): """ Check if the operation is equivalent to pure translation """ op = self.generators[id] diff = op.rotation_matrix - np.eye(3) if np.sum(diff.flatten() ** 2) < 1e-4: return True else: ops = self.get_site_symm_wo_translation() return op in ops
[docs] def swap_axis(self, swap_id): """ swap the axis may result in a new wp """ if self.index > 0: perm_id = None _ops = [self.ops[0]] trans = [np.zeros(3)] if self.symbol[0] == "F": trans.append(np.array([0, 0.5, 0.5])) trans.append(np.array([0.5, 0, 0.5])) trans.append(np.array([0.5, 0.5, 0])) elif self.symbol[0] == "I": trans.append(np.array([0.5, 0.5, 0.5])) elif self.symbol[0] == "A": trans.append(np.array([0, 0.5, 0.5])) elif self.symbol[0] == "B": trans.append(np.array([0.5, 0, 0.5])) elif self.symbol[0] == "C": trans.append(np.array([0.5, 0.5, 0])) op_perm = swap_xyz_ops(_ops, swap_id)[0] for id, ops in enumerate(Group(self.number)): if len(ops) == len(self.ops): for i, tran in enumerate(trans): op = op_translation( op_perm, tran) if i > 0 else op_perm # print(id, op.as_xyz_str(),tran) if are_equivalent_ops(op, ops[0]): perm_id = id return Group(self.number)[id], tran if perm_id is None: raise ValueError("cannot swap", swap_id, self) return self, np.zeros(3)
[docs] def print_ops(self, ops=None): if ops is None: ops = self.ops for op in ops: print(op.as_xyz_str())
[docs] def gen_pos(self): """ Returns the general Wyckoff position """ return self.ops[0]
[docs] def are_equivalent_pts(self, pt1, pt2, cell=None, tol=0.05): """ Check if two pts are equivalent """ if cell is None: cell = np.eye(3) pt1 = self.search_generator(pt1, tol=tol) pt2 = self.search_generator(pt2, tol=tol) if pt1 is None or pt2 is None: return False else: pt1 = np.array(pt1) pt1 -= np.floor(pt1) pt2 = np.array(pt2) pt2 -= np.floor(pt2) pts = self.apply_ops(pt1) pts -= np.floor(pts) diffs = pt2 - pts diffs -= np.rint(diffs) diffs = np.dot(diffs, cell) dists = np.linalg.norm(diffs, axis=1) # print(dists) return len(dists[dists < tol]) > 0
[docs] def distance_check(self, pt, lattice, tol): """ Given a list of fractional coordinates, merges them within a given tolerance, and checks if the merged coordinates satisfy a Wyckoff position. Args: pt: the originl point (3-vector) lattice: a 3x3 matrix representing the unit cell tol: the cutoff distance for merging coordinates Returns: True or False """ return not len(self.short_distances(pt, lattice, tol)) > 0
[docs] def short_distances(self, pt, lattice, tol): """ Given a list of fractional coordinates, merges them within a given tolerance, and checks if the merged coordinates satisfy a Wyckoff position. Args: pt: the originl point (3-vector) lattice: a 3x3 matrix representing the unit cell tol: the cutoff distance for merging coordinates Returns: a list of short distances """ pt = self.project(pt, lattice, self.PBC) coor = self.apply_ops(pt) # coor -= np.round(coor) coor -= np.floor(coor) dm = distance_matrix([coor[0]], coor, lattice, PBC=self.PBC)[0][1:] # if len(dm[dm<tol]==0): print('+++++', pt, dm.shape, tol, dm[dm<tol], len(dm[dm<tol])) return dm[dm < tol]
[docs] def merge(self, pt, lattice, tol, orientations=None, group=None): """ Given a list of fractional coordinates, merges them within a given tolerance, and checks if the merged coordinates satisfy a Wyckoff position. Args: pt: the originl point (3-vector) lattice: a 3x3 matrix representing the unit cell tol: the cutoff distance for merging coordinates orientations: the valid orientations for a given molecule. Returns: pt: 3-vector after merge wp: a Wyckoff_position object, If no match, returns False. valid_ori: the valid orientations after merge """ wp = self.copy() PBC = wp.PBC if group is None: group = Group(wp.number, wp.dim) pt = self.project(pt, lattice, PBC) coor = apply_ops(pt, wp) if orientations is None: valid_ori = None else: j, k = jk_from_i(wp.index, orientations) valid_ori = orientations[j][k] # Main loop for merging multiple times while True: # Check distances of current WP. If too small, merge dm = distance_matrix([coor[0]], coor, lattice, PBC=PBC) passed_distance_check = True x = np.argwhere(dm < tol) for y in x: # Ignore distance from atom to itself if y[0] == 0 and y[1] == 0: pass else: # print(dm); print(y) passed_distance_check = False break # for molecular crystal, one more check if not check_images([coor[0]], [6], lattice, PBC=PBC, tol=tol): passed_distance_check = False if not passed_distance_check: mult1 = wp.multiplicity # Find possible wp's to merge into possible = [] for i, wp0 in enumerate(group): mult2 = wp0.multiplicity # Check that a valid orientation exists if orientations is not None: res = jk_from_i(i, orientations) if res is None: continue j, k = res if orientations[j][k] == []: continue valid_ori = orientations[j][k] # factor = mult2 / mult1 if (mult2 < mult1) and (mult1 % mult2 == 0): possible.append(i) if possible == []: return None, False, valid_ori # Calculate minimum separation for each WP distances = [] pts = [] for i in possible: p, d = group[i].search_generator_dist( pt.copy(), lattice, group) distances.append(d) pts.append(p) # Choose wp with shortest translation for generating point tmpindex = np.argmin(distances) index = possible[tmpindex] wp = group[index] pt = pts[tmpindex] coor = wp.apply_ops(pt) # Distances were not too small; return True else: return pt, wp, valid_ori
[docs] def set_generators(self): """ set up generators, useful for many things """ self.generators = get_generators(self.number, dim=self.dim)[self.index] if self.P is not None and not identity_ops(self.P): # self.print_ops(self.generators) ops = transform_ops(self.generators, self.P, self.P1) self.generators = ops
# self.print_ops(ops)
[docs] def set_euclidean(self): """ For the hexagonal groups, need to consider the euclidean conversion """ convert = False if self.dim == 3: if 143 <= self.number < 195: convert = True elif self.dim == 2: if self.number >= 65: convert = True elif self.dim == 1 and self.number >= 42: convert = True self.euclidean = convert
[docs] def search_generator_dist(self, pt, lattice=None, group=None): """ For a given special wp, (e.g., [(x, 0, 1/4), (0, x, 1/4)]), return the first position and distance Args: pt: 1*3 vector lattice: 3*3 matrix Returns: pt: the best matched pt diff: numerical difference """ if lattice is None: lattice = np.eye(3) if self.index == 0: # general sites return pt, 0 if self.get_dof == 0: # fixed site like [0, 0, 0] pts = self.apply_ops(pt) distances = [distance(p0, lattice, PBC=self.PBC) for p0 in pts] else: # sites like (x, 0, 0) ops = group[0].ops if group is not None else get_wyckoffs( self.number, dim=self.dim)[0] pts = [] distances = [] for op in ops: pt0 = op.operate(pt) pt1 = self.ops[0].operate(pt0) coord = pt1 - pt0 distances.append(distance(coord, lattice, PBC=self.PBC)) pts.append(pt0) min_index = np.argmin(distances) return pts[min_index], np.min(distances)
[docs] def search_generator(self, pos, ops=None, tol=1e-2, symmetrize=False): """ search generator for a special Wyckoff position Args: pos: initial xyz position ops: list of symops tol: tolerance symmetrize (bool): apply symmetrization Return: pos1: the position that matchs the standard setting """ if ops is None: ops = get_wyckoffs(self.number, dim=self.dim)[0] match = False for op in ops: pos1 = op.operate(pos) # pos0 = self.ops[0].operate(pos1) diff = pos1 - pos0 diff -= np.rint(diff) diff = np.abs(diff) # print(self.letter, "{:24s}".format(op.as_xyz_str()), pos, pos0, pos1, diff) if diff.sum() < tol: pos1 -= np.floor(pos1) match = True if symmetrize: pos1 = pos0 break if match: return pos1 else: # print(pos, wp0, wp) return None
[docs] def search_all_generators(self, pos, ops=None, tol=1e-2): """ search generator for a special Wyckoff position Args: pos: initial xyz position ops: list of symops tol: tolerance Return: pos1: the position that matchs the standard setting """ if ops is None: ops = get_wyckoffs(self.number, dim=self.dim)[0] coords = [] for op in ops: pos1 = op.operate(pos) pos0 = self.ops[0].operate(pos1) diff = pos1 - pos0 diff -= np.rint(diff) diff = np.abs(diff) # print(wp.letter, pos1, pos0, diff) if diff.sum() < tol: pos1 -= np.floor(pos1) coords.append(pos1) return coords
[docs] def apply_ops(self, pt): """ Apply symmetry operation """ return apply_ops(pt, self.ops)
[docs] def project(self, point, cell=None, PBC=None, id=0): """ Given a 3-vector and a Wyckoff position operator, returns the projection onto the axis, plane, or point. >>> wp.project_point([0,0.3,0.1], array([0. , 0.3, 0.1]) Args: point: a 3-vector (numeric list, tuple, or array) cell: 3x3 matrix describing the unit cell vectors PBC: A periodic boundary condition list, where 1 means periodic, 0 means not periodic. Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> 1d periodicity along the z axis Returns: a transformed 3-vector (numpy array) """ if cell is None: cell = np.eye(3) # Must be different for hexcell if PBC is None: PBC = [1, 1, 1] op = self.get_euclidean_generator( cell, id) if self.euclidean else self.ops[id] rot = op.rotation_matrix trans = op.translation_vector point = np.array(point, dtype=float) def project_single(point, rot, trans): # move the point in the opposite direction of the translation point -= trans new_vector = np.zeros(3) # Loop over basis vectors of the symmetry element for basis_vector in rot.T: # b = np.linalg.norm(basis_vector) # a faster version? b = np.sqrt(basis_vector.dot(basis_vector)) # if not np.isclose(b, 0): if b > 1e-3: new_vector += basis_vector * \ (np.dot(point, basis_vector) / (b**2)) new_vector += trans return new_vector if PBC == [0, 0, 0]: return project_single(point, rot, trans) else: pt = filtered_coords(point) m = create_matrix(PBC=PBC) new_vectors = [] distances = [] for v in m: new_vector = project_single(pt, rot, trans + v) new_vectors.append(new_vector) tmp = (new_vector - point).dot(cell) distances.append(np.linalg.norm(tmp)) i = np.argmin(distances) return filtered_coords(new_vectors[i], PBC=PBC)
[docs] def to_discrete_grid(self, xyz, N_grids=50): """ A function to convert (x, y, z) to a discrete grid """ binwidth = 1.0 / N_grids x = int(xyz[0] // binwidth) y = int(xyz[1] // binwidth) z = int(xyz[2] // binwidth) return [x, y, z]
[docs] def from_discrete_grid(self, xyz, N_grids=50): """ A function to convert from a discrete grid to (x, y, z) """ binwidth = 1.0 / N_grids x = binwidth * xyz[0] y = binwidth * xyz[1] z = binwidth * xyz[2] return [x, y, z]
# ----------------- Wyckoff Position selection --------------------------
[docs] def choose_wyckoff(G, number=None, site=None, dim=3, random_state: int | None | Generator = None): """Choose a Wyckoff position based on needed atoms in unit cell. Arguments: G: Group object. number: Number of atoms still needed in the unit cell. site: Optional pre-assigned Wyckoff sites (e.g., "4a"). dim: Dimension of the space group (default 3). random_state: Random number generator or seed for reproducibility. Rules: 1. Uses pre-assigned list if provided 2. New position multiplicity must be <= number of needed atoms 3. Prefers positions with higher multiplicity Returns: Selected Wyckoff_position object or False if none found. """ if isinstance(random_state, Generator): random_state = random_state.spawn(1)[0] else: random_state = np.random.default_rng(random_state) if site is not None: number = G.number hn = G.hall_number if G.hall_number is not None else None return Wyckoff_position.from_group_and_letter(number, site, dim, hn=hn) else: wyckoffs_organized = G.wyckoffs_organized if random_state.random() > 0.5: for wyckoff in wyckoffs_organized: if len(wyckoff[0]) <= number: # NOTE wyckoff is a ragged list of lists return wyckoff[random_state.choice(len(wyckoff))] return False else: good_wyckoff = [w for wyckoff in wyckoffs_organized if len( wyckoff[0]) <= number for w in wyckoff] if len(good_wyckoff) > 0: # NOTE good_wyckoff is a ragged list of lists return good_wyckoff[random_state.choice(len(good_wyckoff))] else: return False
[docs] def choose_wyckoff_mol( G: Group, number: int, site: str | None, orientations: list[list[list]], gen_site: bool = True, dim: int = 3, random_state: int | None | Generator = None, ) -> Wyckoff_position | bool: """ Choose a Wyckoff position to fill based on the current number of molecules needed to be placed within a unit cell. Rules: - The new position's multiplicity is equal/less than (number). - We prefer positions with large multiplicity. - The site must admit valid orientations for the desired molecule. Args: G: A pyxtal.symmetry.Group object. number: The number of molecules still needed in the unit cell. site: The specific Wyckoff site to use (if any). orientations: The valid orientations for a given molecule. gen_site: If True, consider only general Wyckoff positions. dim: Dimension of the space group. random_state: Seed for random number generation. Returns: Wyckoff position if found, False otherwise. """ if isinstance(random_state, Generator): random_state = random_state.spawn(1)[0] else: random_state = np.random.default_rng(random_state) if site is not None: return Wyckoff_position.from_group_and_letter(G.number, site, dim, hn=G.hall_number) wyckoffs = G.wyckoffs_organized if gen_site or np.random.random() > 0.5: # choose from high to low for j, wyckoff in enumerate(wyckoffs): if len(wyckoff[0]) <= number: good_wyckoffs = [] for k, w in enumerate(wyckoff): if orientations[j][k] != []: good_wyckoffs.append(w) if len(good_wyckoffs) > 0: return good_wyckoffs[random_state.choice(len(good_wyckoffs))] return False else: good_wyckoffs = [] for j, wyckoff in enumerate(wyckoffs): if len(wyckoff[0]) <= number: for k, w in enumerate(wyckoff): if orientations[j][k] != []: good_wyckoffs.append(w) if len(good_wyckoffs) > 0: return good_wyckoffs[random_state.choice(len(good_wyckoffs))] else: return False
# -------------------- quick utilities for symmetry conversion ----------------
[docs] def swap_xyz_string(xyzs, permutation): """ Permutate the xyz string operation. Args: xyzs: e.g. ['x', 'y+1/2', '-z'] permuation: list, e.g., [0, 2, 1] Returns: The new xyz string after transformation. """ if permutation == [0, 1, 2]: return xyzs else: new = [] for xyz in xyzs: tmp = xyz.replace(" ", "").split(",") tmp = [tmp[it] for it in permutation] if permutation == [1, 0, 2]: # a,b tmp[0] = tmp[0].replace("y", "x") tmp[1] = tmp[1].replace("x", "y") elif permutation == [2, 1, 0]: # a,c tmp[0] = tmp[0].replace("z", "x") tmp[2] = tmp[2].replace("x", "z") elif permutation == [0, 2, 1]: # b,c tmp[1] = tmp[1].replace("z", "y") tmp[2] = tmp[2].replace("y", "z") elif permutation == [1, 2, 0]: # b,c tmp[0] = tmp[0].replace("y", "x") tmp[1] = tmp[1].replace("z", "y") tmp[2] = tmp[2].replace("x", "z") elif permutation == [2, 0, 1]: # b,c tmp[0] = tmp[0].replace("z", "x") tmp[1] = tmp[1].replace("x", "y") tmp[2] = tmp[2].replace("y", "z") new.append(tmp[0] + ", " + tmp[1] + ", " + tmp[2]) return new
[docs] def swap_xyz_ops(ops, permutation): """ Change the symmetry operation by swaping the axes. Args: ops: SymmOp object permutation: list, e.g. [0, 1, 2] Returns: the new xyz string after transformation """ if permutation == [0, 1, 2]: return ops else: new = [] for op in ops: m = op.affine_matrix.copy() m[:3, :] = m[permutation, :] for row in range(3): # [0, y+1/2, 1/2] -> (0, y, 1/2) if np.abs(m[row, :3]).sum() > 0: m[row, 3] = 0 m[:3, :3] = m[:3, permutation] new.append(SymmOp(m)) return new
[docs] def op_transform(ops, affine_matrix): """ Transform a symmetry operation using affine matrix multiplication. Example: >>> x, y, z -> x+1/2, y+1/2, z >>> 0, 1/2, z -> 1/2, 0, z Args: ops: A SymmOp object representing the symmetry operation to transform affine_matrix: 4x4 affine transformation matrix Returns: SymmOp: The transformed symmetry operation """ matrix2 = affine_matrix.dot(ops.affine_matrix) return SymmOp(matrix2)
[docs] def op_translation(op, tran): """ Modify a symmetry operation by adding a translation vector. Parameters ---------- op : SymmOp The input symmetry operation to be modified tran : array_like The translation vector to be added (3D vector) Returns ------- SymmOp A new symmetry operation with the translation added. Note: If a row in the operation matrix has non-zero rotation/mirror components, the translation component for that row will be set to 0. Examples -------- >>> op = SymmOp([[1,0,0,0], [0,1,0,0.5], [0,0,1,0.5], [0,0,0,1]]) >>> tran = [0, 0.5, 0] >>> new_op = op_translation(op, tran) """ m = op.affine_matrix.copy() m[:3, 3] += tran for row in range(3): # [0, y+1/2, 1/2] -> (0, y, 1/2) if np.abs(m[row, :3]).sum() > 0: m[row, 3] = 0 return SymmOp(m)
[docs] def are_equivalent_ops(op1, op2, tol=1e-2): """ check if two ops are equivalent, assuming the same ordering """ diff = op1.affine_matrix - op2.affine_matrix diff[:, 3] -= np.rint(diff[:, 3]) diff = np.abs(diff.flatten()) return np.sum(diff) < tol
[docs] def letter_from_index(index, group, dim=3): """ Given a Wyckoff position's index within a spacegroup, return its number and letter e.g. '4a' Args: index: WP's index (0 is the general position) group: an unorganized Wyckoff position array or Group object (preferred) dim: the periodicity dimension of the symmetry group. Returns: the Wyckoff letter corresponding to the Wyckoff position (for example, for position 4a, the function would return 'a') """ letters1 = letters # See whether the group has an "o" Wyckoff position checko = False if type(group) == Group and group.dim == 0 or dim == 0: checko = True if checko is True and len(group[-1]) == 1 and group[-1][0] == SymmOp.from_xyz_str("0,0,0"): # o comes before a letters1 = "o" + letters length = len(group) return letters1[length - 1 - index]
[docs] def index_from_letter(letter, group, dim=3): """ Given the Wyckoff letter, returns the index of a Wyckoff position. Args: letter: The wyckoff letter group: an unorganized Wyckoff position array or Group object (preferred) dim: the periodicity dimension of the symmetry group. Returns: a single index specifying the location of the Wyckoff position. """ letters1 = letters # See whether the group has an "o" Wyckoff position checko = False if isinstance(group, Group) and group.dim == 0 or dim == 0: checko = True if checko is True and len(group[-1]) == 1 and group[-1][0] == SymmOp.from_xyz_str("0,0,0"): # o comes before a letters1 = "o" + letters length = len(group) return length - 1 - letters1.index(letter)
[docs] def jk_from_i(i, olist): """ Given an organized list (Wyckoff positions or orientations), determine the two indices which correspond to a single index for an unorganized list. Used mainly for organized Wyckoff position lists, but can be used for other lists organized in a similar way Args: i: a single index corresponding to the item's location in the unorganized list olist: the organized list Returns: [j, k]: two indices corresponding to the item's location in the organized list """ num = -1 for j, a in enumerate(olist): for k, _b in enumerate(a): num += 1 if num == i: return [j, k] return None
[docs] class site_symmetry: """ Derive the site symmetry group from symmetry operations site-symmetry group is indicated by an oriented symbol, which is a variation of the Hermann-Mauguin point-group symbol that provides information about the orientation of the symmetry elements. The constituents of the oriented symbol are ordered according to the symmetry directions of the corresponding crystal lattice (primary, secondary and tertiary) Args: ops: a list of SymmOp objects representing the site symmetry lattice_type (str): e.g., 'cubic' Bravis (str): 'P', 'R', 'A', 'B', 'C', 'F', 'I' number (int): space group number parse_trans (bool): do space group or site Returns: a string representing the site symmetry (e.g., `2mm`) """ def __init__(self, ops, lattice_type, Bravis, number, wp_id=0, parse_trans=False): hexagonal = lattice_type in ["hexagonal", "trigonal"] self.parse_trans = parse_trans self.opas = [OperationAnalyzer( op, parse_trans, hexagonal) for op in ops] self.lattice_type = lattice_type self.directions = get_symmetry_directions(lattice_type, Bravis) self.number = number self.wp_id = wp_id # No translation: 7 fundamental / 13 compound symmetries # With translation: 18 fundamental / 37 compound symmetries if not parse_trans: self.base_symbols = ["1", "-1", "2", "m", "3", "4", "-4"] #, "-3", "6", "-6"] self.num_total_symms = 13 else: self.base_symbols = ["1", "-1", "2", "2_1", "m", "a", "b", "c", "n", "d", "3", "3_1", "3_2", "4", "4_1", "4_2", "4_3", "-4"] self.num_total_symms = 48 self.num_base_symms = len(self.base_symbols) self.num_axes = len(all_sym_directions) self.set_table(skip=True) if not parse_trans: self.set_full_hm_symbols(self.table) self.set_short_symbols()
[docs] def to_one_hot(self, verbose=False): matrix = self.to_matrix_representation() one_hot_matrix = np.zeros([self.num_axes, self.num_total_symms], dtype=int) for i in range(self.num_axes): #if verbose: print(matrix[i]) symbol, id = self.get_highest_symmetry(matrix[i]) if verbose: print(i, all_sym_directions[i], matrix[i], symbol) one_hot_matrix[i, id] = 1 return one_hot_matrix
[docs] def to_matrix_representation(self, verbose=False): """ To create a binary matrix to represent the symmetry elements on each axis Translation is also counted here. """ matrix = np.zeros([self.num_axes, self.num_base_symms], dtype=int) # every direction must has identity symmetry matrix[:, 0] = 1 self.inversion = False if verbose: print('Symmetry: 1 -1 2 m 3 4 -4') for opa in self.opas: if opa.type == "inversion": self.inversion = True #print('add inversion'); import sys; sys.exit() elif opa.type != "identity": # Find the axis _ax0 = opa.axis / np.linalg.norm(opa.axis) store = False for i, ax in enumerate(all_sym_directions): # print(opa.axis, ax, np.dot(_ax0, ax0)) ax0 = ax / np.linalg.norm(ax) if np.isclose(abs(np.dot(_ax0, ax0)), 1): store = True break # Find the symmetry element if store: # Pure rotation #print('trial opa.symbol', opa.symbol, opa.axis, i) if opa.symbol in self.base_symbols: matrix[i, self.base_symbols.index(opa.symbol)] = 1 #print('add', opa.symbol) else: if opa.symbol == '-3': # add (-1, 3) if not self.parse_trans: matrix[i, 4] = 1 #np.array([1, 1, 0, 0, 1, 0, 0]) else: matrix[i, 10] = 1 elif opa.symbol == '6': # add (1, 2, 3) if not self.parse_trans: matrix[i, 2], matrix[i, 4] = 1, 1 # = np.array([1, 0, 1, 0, 1, 0, 0]) else: matrix[i, 2], matrix[i, 10] = 1, 1 # = np.array([1, 0, 1, 0, 1, 0, 0]) elif opa.symbol == '-6': # add (1, m, 3) if not self.parse_trans: matrix[i, 3], matrix[i, 4] = 1, 1 else: matrix[i, 4], matrix[i, 10] = 1, 1 elif opa.symbol == '6_1': # add (2_1, 3_1) matrix[i, 3], matrix[i, 11] = 1, 1 elif opa.symbol == '6_5': # add (2_1, 3_2) matrix[i, 3], matrix[i, 12] = 1, 1 elif opa.symbol == '6_2': # add (2, 3_2) matrix[i, 2], matrix[i, 12] = 1, 1 elif opa.symbol == '6_4': # add (2, 3_1) matrix[i, 2], matrix[i, 11] = 1, 1 elif opa.symbol == '6_3': # add (2_1, 3) matrix[i, 3], matrix[i, 10] = 1, 1 else: print('bug in symbol', len(opa.symbol), type(opa.symbol), opa.symbol); import sys; sys.exit() #print(matrix[i]) #else: # print("To debug", opa.symbol, opa) # import sys; sys.exit() else: raise ValueError("Cannot parse the axis", opa.axis, all_sym_directions) if self.inversion: matrix[:, 1] = 1 # if inversion is present #print('matrix 0', matrix) return self.correct_matrix(matrix)
[docs] def set_table(self, skip=False): """ Get the complete table representation. Args: skip (bool): whether or not skip 1 or -1 symmetry Returns: sorted table with (list of symmetry elements, symbols, order) """ # Complete list of symmetry for one given axis if self.lattice_type == "triclinic": skip = False matrix = self.to_matrix_representation() tables = [] for i, axis in enumerate(all_sym_directions): direction_id = find_axis_order(axis, self.directions) if direction_id is not None: num_symms = matrix[i, 1:].sum() if skip else matrix[i].sum() if num_symms > 0: strs = "{:4d} ({:2d} {:2d} {:2d}): ".format(direction_id, *axis) for sym in matrix[i]: strs += f"{sym:4d} " # strs += "{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}".format(*matrix[i]) if not self.parse_trans: symbol, _ = self.get_highest_symmetry(matrix[i]) strs += f"{symbol:>6s}" tables.append((strs, symbol, direction_id)) else: tables.append((strs, direction_id)) self.table = sorted(tables, key=lambda x: x[-1])
[docs] def set_full_hm_symbols(self, tables): """ Set the full hm symbols for each axis Args: tables: sorted table with (list of symmetry elements, symbols, order) Returns: a list of symmetry elements on {primary, secondary, tertiery} directions """ hm_symbols = [[] for _ in range(len(self.directions))] # for row in tables: print(row) for row in tables: (_, symbol, direction_id) = row if symbol not in ["1", "-1"]: hm_symbols[direction_id].append(symbol) # print(hm_symbols, direction_id) for i, hm_symbol in enumerate(hm_symbols): if len(hm_symbol) == 0: hm_symbols[i] = ["."] # elif hm_symbol == ['1']: # hm_symbols[i] = ['.'] self.hm_symbols = hm_symbols
[docs] def unique_symmetry(self, symbols, symmetry): return all(symbol in [".", symmetry] for symbol in symbols)
[docs] def ref_symmetry(self, symbols, reference): return any(symbol in reference for symbol in symbols)
[docs] def set_short_symbols(self): """ Set short symbols from the Full symbols """ # if hasattr(self, 'hm_symbols'): # self.set_full_hm_symbols() self.symbols = [] # print(self.hm_symbols) for hm_symbol in self.hm_symbols: if len(hm_symbol) == 1: # print('single', hm_symbol) self.symbols.append(hm_symbol[0]) else: symbol = "" for hm in hm_symbol: symbol += hm self.symbols.append(symbol) # print('multi', hm_symbol) # Some simplifications if self.lattice_type == "orthorhombic": if self.symbols == ["2/m", "2/m", "2/m"]: self.symbols = ["m", "m", "m"] elif self.lattice_type == "tetragonal": for i, symbol in enumerate(self.symbols): if symbol == "2/m2/m": self.symbols[i] = "mm" elif symbol == "2/m": if not self.unique_symmetry(self.symbols, "2/m"): self.symbols[i] = "m" elif symbol == "m2": self.symbols[i] = "2m" if self.symbols == ["4", "22", "22"]: self.symbols = ["4", "2", "2"] elif self.symbols == ["4", "mm", "mm"]: self.symbols = ["4", "m", "m"] elif self.symbols == ["-4", "22", "mm"]: self.symbols = ["-4", "2", "m"] elif self.symbols == ["-4", "mm", "22"]: self.symbols = ["-4", "m", "2"] elif self.symbols == ["2/m", "2/m", "2/m"]: self.symbols = ["m", "m", "m"] elif self.symbols == ["4/m", "mm", "mm"]: self.symbols = ["4/m", "m", "m"] elif self.lattice_type in ["trigonal", "hexagonal"]: for i, symbol in enumerate(self.symbols): if symbol in ["2/m2/m", "2/m2/m2/m", "mm", "mmm"]: if not self.unique_symmetry(self.symbols, symbol): self.symbols[i] = "m" elif symbol in ["22", "222"] and not self.unique_symmetry(self.symbols, symbol): self.symbols[i] = "2" if self.symbols == ["2/m", "2/m", "2/m"]: self.symbols = ["m", "m", "m"] if self.symbols == ["6/m", "m", "2/m"]: self.symbols = ["6/m", "m", "m"] if self.symbols == ["-6", "m2m", "2"]: self.symbols = ["-6", "m", "2"] if self.symbols == ["m", "m2", "."]: self.symbols = ["m", "m", "2"] if self.symbols == ["m", "2m", "."]: self.symbols = ["m", "2", "m"] if self.symbols == ["2", "m", "."]: self.symbols = ["2", "m", "m"] if self.symbols == ["2/m", "m", "."]: self.symbols = ["m", "m", "m"] # https://github.com/MaterSim/PyXtal/issues/309 if self.symbols == ['3', 'm', 'm']: # 3mm => 3.m self.symbols = ['3', '.', 'm'] if self.symbols == ['3', '2', '2']: # 322 => 3.2 self.symbols = ['3', '.', '2'] if self.symbols == ['2', '2', '.']: # 22. => 222 self.symbols = ['2', '2', '2'] if self.symbols == ['-6', 'mm2', 'm']: # -6mm2m => -6m2 self.symbols = ['-6', '2', 'm'] if self.symbols == ['-6', 'm2', 'm2']: # -6mm2m => -6m2 self.symbols = ['-6', 'm', '2'] if self.symbols == ['-3', 'm', '2/m']: self.symbols = ['-3', '.', 'm'] if self.number == 193: #193 12k .m. [['.'], ['m'], ['.']] #193 12j m.. [['m'], ['.'], ['.']] #193 12i .2. [['.'], ['2'], ['.']] #193 8h 3.. [['3'], ['.'], ['.']] #193 6g m2m [['m'], ['2', 'm'], ['.']] #193 6f .2/m. [['.'], ['2/m'], ['.']] #193 4e 3mm [['3'], ['m', 'm'], ['m']] #193 4d 322 [['3'], ['2', '2'], ['2']] #193 4c -6.. [['-6'], ['.'], ['.']] #193 2b -3m2/m [['-3'], ['2/m', '2/m'], ['2/m']] #193 2a -6mm2m [['-6'], ['m', 'm', '2'], ['m']] if self.symbols == ['.', 'm', '.']: self.symbols = ['.', '.', 'm'] elif self.symbols == ['.', '2', '.']: self.symbols = ['.', '.', '2'] elif self.symbols == ['.', '2/m', '.']: self.symbols = ['.', '.', '2/m'] if (self.number, self.wp_id) in [(157, 1), (162, 1), (162, 5), (162, 6), (178, 1), (179, 1), (180, 1), (180, 2), (181, 1), (181, 2), (182, 1), (183, 2), (185, 1), (189, 3), (191, 4), (192, 2)]: self.symbols = [self.symbols[i] for i in [0, 2, 1]] elif self.lattice_type == "cubic": for i, symbol in enumerate(self.symbols): if symbol in ["2/m2/m2/m"]: if not self.unique_symmetry(self.symbols, symbol): self.symbols[i] = "m" else: self.symbols[i] = "mmm" elif symbol == "mmm": if not self.unique_symmetry(self.symbols, symbol): self.symbols[i] = "m" elif symbol == "222": # print(symbol, self.unique_symmetry(self.symbols, symbol)) if not self.unique_symmetry(self.symbols, symbol): self.symbols[i] = "2" elif symbol in ["2222", "222222"]: self.symbols[i] = "2" elif symbol in ["333", "3333"]: self.symbols[i] = "3" elif symbol in ["-3-3-3-3"]: self.symbols[i] = "-3" elif symbol == "444": self.symbols[i] = "4" elif symbol == "-4-4-4": self.symbols[i] = "-4" elif symbol == "422": self.symbols[i] = "42" elif symbol == "-422": self.symbols[i] = "-42" elif symbol == "2mm": self.symbols[i] = "mm2" elif symbol in ["mmmm", "mmmmmm"]: self.symbols[i] = "m" elif symbol in ["2m"]: self.symbols[i] = "m2" elif symbol in ["4mm"]: self.symbols[i] = "4m" elif symbol in ["-4mm"]: self.symbols[i] = "-4m" elif symbol == "4/m2/m2/m": self.symbols[i] = "4/mm" elif symbol in ["4/m4/m4/m", "2/m2/m2/m2/m2/m2/m"]: self.symbols[i] = "m" elif symbol == "2/m2/m": if self.ref_symmetry(self.symbols, ["4/mm"]): self.symbols[i] = "m" else: self.symbols[i] = "mm" elif symbol == "2/m" and not self.unique_symmetry(self.symbols, symbol): self.symbols[i] = "m" for i, symbol in enumerate(self.symbols): if symbol == "mm" and self.ref_symmetry(self.symbols, ["-42", "4m"]): self.symbols[i] = "m" if symbol == "22" and self.ref_symmetry(self.symbols, ["42", "-4m"]): self.symbols[i] = "2" # #if self.symbols in [['4', '-3', '2'], ['-4', '-3', 'm']]: # # self.symbols = ['m', '-3', 'm'] # #if '222' in self.symbols: # # if len(self.opas) > 4: # # for i in range(len(self.symbols)): # # if self.symbols[i] == '222': # # self.symbols[i] = '2'#; print('Find ===') self.get_name()
[docs] def get_name(self): if self.symbols in [[".", ".", "."], [".", "."], ["."]]: if self.inversion: self.name = "-1" else: self.name = "1" else: self.name = "" for symbol in self.symbols: # self.name += ' ' for s in symbol: self.name += s
[docs] def to_beautiful_matrix_representation(self, skip=True): """ A shortcut to check the representation Args: skip (bool): whether or not skip 1 or -1 symmetry """ strs = "Order Axis " for symbol in self.symbols: strs += f"{symbol:<4s} " print(strs) if not hasattr(self, "table"): self.set_table(skip) for row in self.table: print(row[0])
[docs] def get_highest_symmetry(self, row): # Symmetry on 15 direction # With translation: 18*15 => 37*15 # Without translation: 7*15 => 13*15 #print("current", row) if self.parse_trans: ref_arrays = [ #1 -1 2 21 m a b c n d 3 31 32 4 41 42 43 -4 #1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0] (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "1"), # 1 (np.array([1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "-1"), # 1, -1 (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2"), # 1, 2 (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2_1"), # 1, 2_1 (np.array([1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "m"), # 1, m (np.array([1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "a"), # 1, a (np.array([1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "b"), # 1, b (np.array([1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "c"), # 1, c (np.array([1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "n"), # 1, n (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "d"), # 1, d (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), "3"), # 1, 3 (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], dtype=int), "3_1"), # 1, 3_1 (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], dtype=int), "3_2"), # 1, 3_2 (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2/m"), # 1, -1, 2, m (np.array([1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2/a"), # 1, -1, 2, m (np.array([1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2/b"), # 1, -1, 2, m (np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2/c"), # 1, -1, 2, c (np.array([1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2/n"), # 1, -1, 2, c (np.array([1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2/d"), # 1, -1, 2, c (np.array([1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2_1/m"),# 1, -1, 2_1, m (np.array([1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2_1/a"),# 1, -1, 2_1, m (np.array([1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2_1/b"),# 1, -1, 2_1, m (np.array([1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2_1/c"),# 1, -1, 2_1, c (np.array([1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2_1/n"),# 1, -1, 2_1, m (np.array([1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), "2_1/d"),# 1, -1, 2_1, m (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], dtype=int), "4"), # 1, 2, 4 (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], dtype=int), "4_1"), # 1, 2_1, 4_1 (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], dtype=int), "4_2"), # 1, 2, 4_2 (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], dtype=int), "4_3"), # 1, 2_1, 4_3 (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], dtype=int), "-4"), # 1, 2, -4 (np.array([1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), "-3"), # 1, -1, 3 (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), "6"), # 1, 2, 3 (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], dtype=int), "6_1"), # 1, 2_1, 3_1 (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], dtype=int), "6_5"), # 1, 2_1, 3_2 (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], dtype=int), "6_2"), # 1, 2, 3_2 (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], dtype=int), "6_4"), # 1, 2, 3_1 (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), "6_3"), # 1, 2_1, 3 (np.array([1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), "-6"), # 1, m, 3 (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1], dtype=int), "4/m"), # 1, -1, 2, m, 4, -4 (np.array([1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1], dtype=int), "4/n"), # 1, -1, 2, n, 4, -4 (np.array([1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), "4_1/a"),# 1, -1, 2_1, a, 4_1, -4 (np.array([1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), "4_1/b"),# 1, -1, 2_1, b, 4_1, -4 (np.array([1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), "4_1/c"),# 1, -1, 2_1, c, 4_1, -4 (np.array([1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), "4_1/d"),# 1, -1, 2_1, d, 4_1, -4 (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1], dtype=int), "4_2/m"),# 1, -1, 2, m, 4_2, -4 (np.array([1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1], dtype=int), "4_2/n"),# 1, -1, 2, m, 4_2, -4 (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), "6/m"), # 1, -1, 2, m, 3 (np.array([1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), "6_3/m"),# 1, -1, 2_1, m, 3 ] else: ref_arrays = [ #1 -1 2 m 3 4 -4 (np.array([1, 0, 0, 0, 0, 0, 0], dtype=int), "1"), # 1 (np.array([1, 1, 0, 0, 0, 0, 0], dtype=int), "-1"), # 1, -1 (np.array([1, 0, 1, 0, 0, 0, 0], dtype=int), "2"), # 1, 2 (np.array([1, 0, 0, 1, 0, 0, 0], dtype=int), "m"), # 1, m (np.array([1, 0, 0, 0, 1, 0, 0], dtype=int), "3"), # 1, 3 (np.array([1, 0, 1, 0, 0, 1, 0], dtype=int), "4"), # 1, 2, 4 (np.array([1, 0, 1, 0, 0, 0, 1], dtype=int), "-4"), # 1, 2, -4 (np.array([1, 1, 1, 1, 0, 0, 0], dtype=int), "2/m"), # 1, 2, m (np.array([1, 1, 0, 0, 1, 0, 0], dtype=int), "-3"), # 1, -1, 3 (np.array([1, 0, 1, 0, 1, 0, 0], dtype=int), "6"), # 1, 2, 3 (np.array([1, 0, 0, 1, 1, 0, 0], dtype=int), "-6"), # 1, m, 3 (np.array([1, 1, 1, 1, 0, 1, 1], dtype=int), "4/m"), # 1, -1, 2, m, 4, -4 (np.array([1, 1, 1, 1, 1, 0, 0], dtype=int), "6/m"), # 1, -1, 2, m, 3 ] for i, ref_array in enumerate(ref_arrays): if np.array_equal(row, ref_array[0]): #if self.parse_trans: print(row, ref_array[1]) return ref_array[1], i print("problem", row, type(row)) raise ValueError("Incompatible symmetry list") return ref_arrays[0][1], 0
[docs] def correct_matrix(self, matrix): if self.parse_trans: # For hexagonal spg, one sym direction may have both c/m for row in matrix: # I-43d (100) [1, 2_1, -4] => [1, 2, -4] if np.array_equal(row, [1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]): row[2], row[3] = 1, 0 # P63cm (100) [1, m, c] => [1, c] elif np.array_equal(row, [1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): row[4] = 0 # P-6m2 (100) [1, 2, m] => [1, m] elif np.array_equal(row, [1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): #elif np.array_equal(row[:3], [1, 0, 1]) and sum(row[4:8]) > 0: # 2, m row[2] = 0 # P-6c2 (100) [1, 2, c] => [1, c] elif np.array_equal(row, [1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): row[2] = 0 # P63/mcm [2/c] elif np.array_equal(row, [1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): row[4] = 0 # P-3 (add m) elif np.array_equal(row, [1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]): row[4] = 0 # P-6 elif np.array_equal(row, [1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]): row[4] = 0 else: for row in matrix: if np.array_equal(row, [1, 0, 1, 1, 0, 0, 0]): row[2] = 0 if self.parse_trans: if self.number == 100: matrix[7] = np.array([1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) matrix[8] = np.array([1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) if self.number in [127, 129]: matrix[7] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) matrix[8] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) elif self.number == 227: #2/m matrix[8] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) matrix[10] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) matrix[12] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) elif self.number == 228: #2/c matrix[8] = np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) matrix[10] = np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) matrix[12] = np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) return matrix
[docs] def organized_wyckoffs(group): """ Takes a Group object or unorganized list of Wyckoff positions and returns a 2D list of Wyckoff positions organized by multiplicity. Args: group: a pyxtal.symmetry.Group object Returns: a 2D list of Wyckoff_position objects if group is a Group object. a 3D list of SymmOp objects if group is a 2D list of SymmOps """ wyckoffs = group.Wyckoff_positions if type(group) == Group else group wyckoffs_organized = [[]] # 2D Array of WP's organized by multiplicity old = len(wyckoffs[0]) for wp in wyckoffs: mult = len(wp) if mult != old: wyckoffs_organized.append([]) old = mult wyckoffs_organized[-1].append(wp) return wyckoffs_organized
[docs] def symmetry_element_from_axis(axis): """ Given an axis, returns a SymmOp representing a symmetry element on the axis. For example, the symmetry element for the vector (0,0,2) would be (0,0,z). Args: axis: a 3-vector representing the symmetry element Returns: a SymmOp object of form (ax, bx, cx), (ay, by, cy), or (az, bz, cz) """ if len(axis) != 3: return None # Vector must be non-zero if axis.dot(axis) < 1e-6: return None v = np.array(axis) / np.linalg.norm(axis) # Find largest component (x, y, or z) abs_vals = [abs(a) for a in v] f1 = max(abs_vals) index1 = list(abs_vals).index(f1) # Initialize an affine matrix m = np.eye(4) m[:3] = [0.0, 0.0, 0.0, 0.0] # Set values for affine matrix m[:3, index1] = v return SymmOp(m)
[docs] def get_wyckoffs(num, organized=False, dim=3): """ Returns a list of Wyckoff positions for a given group. Has option to organize the list based on multiplicity (this is used for random_crystal.wyckoffs) For an unorganized list: - 1st index: index of WP in sg (0 is the WP with largest multiplicity) - 2nd index: a SymmOp object in the WP For an organized list: - 1st index: specifies multiplicity (0 is the largest multiplicity) - 2nd index: a WP within the group of equal multiplicity. - 3nd index: a SymmOp object within the Wyckoff position You may switch between organized and unorganized lists using the methods i_from_jk and jk_from_i. For example, if a Wyckoff position is the [i] entry in an unorganized list, it will be the [j][k] entry in an organized list. Args: num: the international group number dim: dimension [0, 1, 2, 3] organized: whether or not to organize the list based on multiplicity Returns: a list of Wyckoff positions, each of which is a list of SymmOp's """ wyckoffs = [list(wp) for wp in _get_wyckoffs_cached(num, dim)] if organized: wyckoffs_organized = [[]] # 2D Array of WP's organized by multiplicity old = len(wyckoffs[0]) for wp in wyckoffs: mult = len(wp) if mult != old: wyckoffs_organized.append([]) old = mult wyckoffs_organized[-1].append(wp) return wyckoffs_organized else: # Return Wyckoff positions without organization return wyckoffs
@functools.lru_cache(maxsize=None) def _get_wyckoffs_cached(num, dim): if dim == 3: df = SYMDATA.get_wyckoff_sg() elif dim == 2: df = SYMDATA.get_wyckoff_lg() elif dim == 1: df = SYMDATA.get_wyckoff_rg() elif dim == 0: df = SYMDATA.get_wyckoff_pg() else: raise ValueError(f"Unsupported dimension: {dim}") wyckoff_strings = literal_eval(df["0"][num]) wyckoffs = [] for x in wyckoff_strings: wyckoffs.append([]) for y in x: wyckoffs[-1].append(SymmOp(y) if dim == 0 else SymmOp.from_xyz_str(y)) return tuple(tuple(wp) for wp in wyckoffs)
[docs] def get_wyckoff_symmetry(num, dim=3): """ Returns a list of site symmetry for a given group. - 1st index: index of WP in sg (0 is the WP with largest multiplicity) - 2nd index: a point within the WP - 3rd index: a site symmetry SymmOp of the point Args: sg: the international spacegroup number dim: 0, 1, 2, 3 Returns: a 3d list of SymmOp objects representing the site symmetry of each point in each Wyckoff position """ return [[list(point) for point in wp] for wp in _get_wyckoff_symmetry_cached(num, dim)]
@functools.lru_cache(maxsize=None) def _get_wyckoff_symmetry_cached(num, dim): if dim == 3: symmetry_df = SYMDATA.get_symmetry_sg() elif dim == 2: symmetry_df = SYMDATA.get_symmetry_lg() elif dim == 1: symmetry_df = SYMDATA.get_symmetry_rg() elif dim == 0: symmetry_df = SYMDATA.get_symmetry_pg() else: raise ValueError(f"Unsupported dimension: {dim}") symmetry_strings = literal_eval(symmetry_df["0"][num]) symmetry = [] for x in symmetry_strings: symmetry.append([]) for y in x: symmetry[-1].append([]) for z in y: symmetry[-1][-1].append(SymmOp(z) if dim == 0 else SymmOp.from_xyz_str(z)) return tuple(tuple(tuple(point) for point in wp) for wp in symmetry)
[docs] def get_generators(num, dim=3): """ Returns a list of Wyckoff generators for a given group. - 1st index: index of WP in sg (0 is the WP with largest multiplicity) - 2nd index: a generator for the WP This function is useful for rotating molecules based on Wyckoff position, since special Wyckoff positions only encode positional information, but not information about the orientation. The generators for each Wyckoff position form a subset of the spacegroup's general Wyckoff position. Args: num: the international spacegroup number dim: dimension Returns: a 2d list of symmop objects [[wp0], [wp1], ... ] """ return [list(wp) for wp in _get_generators_cached(num, dim)]
@functools.lru_cache(maxsize=None) def _get_generators_cached(num, dim): if dim == 3: generators_df = SYMDATA.get_generator_sg() elif dim == 2: generators_df = SYMDATA.get_generator_lg() elif dim == 1: generators_df = SYMDATA.get_generator_rg() elif dim == 0: generators_df = SYMDATA.get_generator_pg() else: raise ValueError(f"Unsupported dimension: {dim}") generator_strings = literal_eval(generators_df["0"][num]) generators = [] for x in generator_strings: generators.append([]) for y in x: generators[-1].append(SymmOp(y) if dim == 0 else SymmOp.from_xyz_str(y)) return tuple(tuple(wp) for wp in generators)
[docs] def site_symm(point, gen_pos, tol=1e-3, lattice=None, PBC=None): """ Given a point and a general Wyckoff position, return the list of symmetry operations leaving the point (coordinate or SymmOp) invariant. The returned SymmOps are a subset of the general position. The site symmetry can be used for determining the Wyckoff position for a set of points, or for determining the valid orientations of a molecule within a given Wyckoff position. Args: point: a 1x3 coordinate or SymmOp object to find the symmetry of. If a SymmOp is given, the returned symmetries must also preserve the point's orientaion gen_pos: the general position of the spacegroup. Can be a Wyckoff_position object or list of SymmOp objects. tol: the numberical tolerance for determining equivalent positions and orientations. lattice: a 3x3 matrix representing the lattice vectors of the unit cell PBC: A periodic boundary condition list, 1 means periodic, 0 means not periodic. Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> periodicity along the z axis. Need not be defined here if gen_pos is a Wyckoff_position object. Returns: a list of SymmOp objects which leave the given point invariant """ if lattice is None: lattice = np.eye(3) if PBC is None: PBC = gen_pos.PBC if type(gen_pos) == Wyckoff_position else [1, 1, 1] # Convert point into a SymmOp if type(point) != SymmOp: point = SymmOp.from_rotation_and_translation( [[0, 0, 0], [0, 0, 0], [0, 0, 0]], np.array(point)) symmetry = [] for op in gen_pos: is_symmetry = True # Calculate the effect of applying op to point difference = SymmOp((op * point).affine_matrix - point.affine_matrix) # Check that the rotation matrix is unaltered by op if not np.allclose(difference.rotation_matrix, np.zeros((3, 3)), rtol=1e-3, atol=1e-3): is_symmetry = False # Check that the displacement is less than tol displacement = difference.translation_vector if distance(displacement, lattice, PBC=PBC) > tol: is_symmetry = False if is_symmetry: """ The actual site symmetry's translation vector may vary from op by a factor of +1 or -1 (especially when op contains +-1/2). We record this to distinguish between special Wyckoff positions. As an example, consider the point (-x+1/2,-x,x+1/2) in position 16c of space group Ia-3(206). The site symmetry includes the operations (-z+1,x-1/2,-y+1/2) and (y+1/2,-z+1/2,-x+1). These operations are not listed in the general position, but correspond to the operations (-z,x+1/2,-y+1/2) and (y+1/2,-z+1/2,-x), respectively, just shifted by (+1,-1,0) and (0,0,+1), respectively. """ el = SymmOp.from_rotation_and_translation( op.rotation_matrix, op.translation_vector - np.rint(displacement)) symmetry.append(el) return symmetry
[docs] def check_wyckoff_position(points, group, tol=1e-3): """ Given a list of points, returns a single index of a matching Wyckoff position in the space group. Checks the site symmetry of each supplied point against the site symmetry for each point in the Wyckoff position. Also returns a point which can be used to generate the rest using the Wyckoff position operators. Args: points: a list of 3d coordinates or SymmOps to check group: a Group object tol: the max distance between equivalent points Returns: index, p: index is a single index for the Wyckoff position within the sg. If no matching WP is found, returns False. point is a coordinate taken from the list points. When plugged into the Wyckoff position, it will generate all the other points. """ points = np.array(points) wyckoffs = group.wyckoffs w_symm_all = group.w_symm PBC = group.PBC # new method # Store the squared distance tolerance t = tol**2 # Loop over Wyckoff positions for i, wp in enumerate(wyckoffs): # Check that length of points and wp are equal if len(wp) != len(points): continue failed = False # Search for a generating point for p in points: failed = False # Check that point works as x,y,z value for wp xyz = filtered_coords_euclidean(wp[0].operate(p) - p, PBC=PBC) if xyz.dot(xyz) > t: continue # Calculate distances between original and generated points pw = np.array([op.operate(p) for op in wp]) dw = distance_matrix(points, pw, None, PBC=PBC, metric="sqeuclidean") # Check each row for a zero for row in dw: num = (row < t).sum() if num < 1: failed = True break if failed: continue # Check each column for a zero for column in dw.T: num = (column < t).sum() if num < 1: failed = True break # Calculate distance between original and generated points ps = np.array([op.operate(p) for op in w_symm_all[i][0]]) ds = distance_matrix([p], ps, None, PBC=PBC, metric="sqeuclidean") # Check whether any generated points are too far away num = (ds > t).sum() if num > 0: failed = True if failed: continue return i, p return False, None
[docs] def get_symbol_and_number(input_group, dim=3): """ Function for quick conversion between symbols and numbers. Args: input_group: the group symbol or international number dim: the periodic dimension of the group """ keys = { 3: "space_group", 2: "layer_group", 1: "rod_group", 0: "point_group", } group_symbols = loadfn(rf("pyxtal", "database/symbols.json")) lists = group_symbols[keys[dim]] number = None symbol = None if dim not in [0, 1, 2, 3]: raise ValueError(f"Dimension ({dim:d}) should in [0, 1, 2, 3] ") if isinstance(input_group, str): for i, _symbol in enumerate(lists): if _symbol == input_group: number = i + 1 symbol = input_group return symbol, number msg = f"({input_group:s}) not found in {keys[dim]:s} " raise ValueError(msg) valid, msg = check_symmetry_and_dim(input_group, dim) if not valid: raise ValueError(msg) number = input_group symbol = lists[number - 1] return symbol, number
[docs] def check_symmetry_and_dim(number, dim=3): """ Check if it is a valid number for the given symmetry Args: number: int dim: 0, 1, 2, 3 """ valid = True msg = "This is a valid group number" numbers = [56, 75, 80, 230] if dim not in [0, 1, 2, 3]: msg = f"invalid dimension {dim:d}" valid = False else: max_num = numbers[dim] if number not in range(1, max_num + 1): valid = False msg = f"invalid symmetry group {number:d}" msg += f" in dimension {dim:d}" return valid, msg
[docs] def get_pbc_and_lattice(number, dim): if dim == 3: PBC = [1, 1, 1] if number <= 2: lattice_type = "triclinic" elif number <= 15: lattice_type = "monoclinic" elif number <= 74: lattice_type = "orthorhombic" elif number <= 142: lattice_type = "tetragonal" elif number <= 167: lattice_type = "trigonal" elif number <= 194: lattice_type = "hexagonal" elif number <= 230: lattice_type = "cubic" elif dim == 2: PBC = [1, 1, 0] if number <= 2: lattice_type = "triclinic" elif number <= 18: lattice_type = "monoclinic" elif number <= 48: lattice_type = "orthorhombic" elif number <= 64: lattice_type = "tetragonal" elif number <= 80: lattice_type = "hexagonal" elif dim == 1: PBC = [0, 0, 1] if number <= 2: lattice_type = "triclinic" elif number <= 12: lattice_type = "monoclinic" elif number <= 22: lattice_type = "orthorhombic" elif number <= 41: lattice_type = "tetragonal" elif number <= 75: lattice_type = "hexagonal" elif dim == 0: PBC = [0, 0, 0] # "C1", "Ci", "D2", "D2h", "T", "Th", # "O", "Td", "Oh", "I", "Ih", lattice_type = "spherical" if number in [ 1, 2, 6, 8, 28, 29, 30, 31, 32, 55, 56] else "ellipsoidal" return PBC, lattice_type
[docs] def search_cloest_wp(G, wp, op, pos): """ For a given position, search for the cloest wp which satisfies the desired symmetry relation, e.g., for pos (0.1, 0.12, 0.2) and op (x, x, z) the closest match is (0.11, 0.11, 0.2) Args: G: space group number wp: Wyckoff object op: symmetry operation belonging to wp pos: initial xyz position Return: pos1: the position that matchs symmetry operation """ # G = Group(wp.number) if np.linalg.matrix_rank(op.rotation_matrix) == 0: # fixed point (e.g, 1/2, 1/2, 1/2) return op.translation_vector elif np.linalg.matrix_rank(op.rotation_matrix) == 3: # fully independent, e.g., (x,y,z), (-x,y,z) return pos else: # check if this is already matched wp0 = G[0] coords = wp.search_all_generators(pos, wp0) if len(coords) > 0: diffs = [] for coord in coords: tmp = op.operate(coord) diff1 = tmp - pos diff1 -= np.rint(diff1) dist = np.linalg.norm(diff1) if dist < 1e-3: return tmp else: diffs.append(dist) minID = np.argmin(diffs) return op.operate(coords[minID]) # if not match, search for the closest solution else: # extract all possible xyzs all_xyz = apply_ops(pos, wp0)[1:] dists = all_xyz - pos dists -= np.rint(dists) ds = np.linalg.norm(dists, axis=1) ids = np.argsort(ds) for id in ids: d = all_xyz[id] - pos d -= np.rint(d) res = pos + d / 2 if wp.search_generator(res, wp0) is not None: # print(ds[id], pos, res) return res return op.operate(pos)
[docs] def get_point_group(number): """ Parse the point group symmetry info from space group. According to http://img.chem.ucl.ac.uk/sgp/misc/pointgrp.htm, among 32 point groups and 230 space groups, there are: - 10 polar point groups (68 space groups): 1, 2, m, mm2, 3, 3m, 4, 4mm, 6, 6mm - 11 centrosymmetric point groups (92 space groups): -1, 2/m, mmm, 4/m, 4/mmm, -3, -3m, 6/m, 6/mmm, m-3, m-3m - 11 enantiomorphic point groups (65 space groups): 1, 2, 222, 4, 422, 3, 32, 6, 622, 23, 432 Args: number (int): Space group number between 1-230 Returns: tuple: (point_group_symbol, point_group_number, is_polar, has_inversion, is_enantiomorphic) """ if number == 1: return "1", 1, True, False, True elif number == 2: return "-1", 2, False, True, False elif 3 <= number <= 5: return "2", 3, True, False, True elif 6 <= number <= 9: return "m", 4, True, False, False elif 10 <= number <= 15: return "2/m", 5, False, True, False elif 16 <= number <= 24: return "222", 6, False, False, True elif 25 <= number <= 46: return "mm2", 7, True, False, False elif 47 <= number <= 74: return "mmm", 8, False, True, False elif 75 <= number <= 80: return "4", 9, True, False, True elif 81 <= number <= 82: return "-4", 10, False, False, False elif 83 <= number <= 88: return "4/m", 11, False, True, False elif 89 <= number <= 98: return "422", 12, False, False, True elif 99 <= number <= 110: return "4mm", 13, True, False, False elif 111 <= number <= 122: return "-42m", 14, False, False, False elif 123 <= number <= 142: return "4/mmm", 15, False, True, False elif 143 <= number <= 146: return "3", 16, True, False, True elif 147 <= number <= 148: return "-3", 17, False, True, False elif 149 <= number <= 155: return "32", 18, False, False, True elif 156 <= number <= 161: return "3m", 19, True, False, False elif 162 <= number <= 167: return "-3m", 20, False, True, False elif 168 <= number <= 173: return "6", 21, True, False, True elif number == 174: return "-6", 22, False, False, False elif 175 <= number <= 176: return "6/m", 23, False, True, False elif 177 <= number <= 182: return "622", 24, False, False, True elif 183 <= number <= 186: return "6mm", 25, True, False, False elif 187 <= number <= 190: return "-62m", 26, False, False, False elif 191 <= number <= 194: return "6/mmm", 27, False, True, False elif 195 <= number <= 199: return "23", 28, False, False, True elif 200 <= number <= 206: return "m-3", 29, False, True, False elif 207 <= number <= 214: return "432", 30, False, False, True elif 215 <= number <= 220: return "-43m", 31, False, False, False elif 221 <= number <= 230: return "m-3m", 32, False, True, False return None
[docs] def get_close_packed_groups(pg): """ List the close packed groups based on the molecular symmetry. Compiled from AIK Book, Table 2 P34. Args: pg (str): Point group symbol. Returns: list or None: List of space group numbers, or None if not found. """ close_packed_groups = { "1": [1, 2, 4, 14, 19, 29, 33, 51, 54, 61, 62], "2": [1, 15, 18, 60], "m": [1, 26, 36, 63, 64], "I": [1, 2, 14, 15, 61], "mm": [42, 51, 59], "2/m": [12, 54, 64], "222": [21, 22, 23, 68], "mmm": [65, 69, 71], } return close_packed_groups.get(pg)
[docs] def para2ferro(pg): """ 88 potential paraelectric-to-ferroelectric phase transitions https://journals.aps.org/prb/abstract/10.1103/PhysRevB.2.754 https://pubs.rsc.org/en/content/articlelanding/2016/cs/c5cs00308c Args: paraelectric point group Returns: list of ferroelectric point groups """ # Triclinic: 1 if pg == "-1": # 2 return ["1"] # Monoclinic: 5 elif pg in ["2", "m"]: # 2 return "1" elif pg == "2/m": # 3 return ["1", "m", "2"] # Orthorhombic: #7 elif pg == "222": # 2 return ["1", "2"] elif pg == "mm2": # 2 return ["1", "m"] elif pg == "mmm": # 3 return ["1", "m", "mm2"] # Tetragonal: 20 elif pg == "4": # 1 return ["1"] elif pg == "-4": # 2 return ["1", "2"] elif pg == "4/m": # 3 return ["1", "2", "4"] elif pg == "422": # 3 # return ['1', '2(s)', '4'] return ["1", "2", "4"] elif pg == "4mm": # 2 return ["1", "m"] elif pg == "-42m": # 4 # return ['1', '2(s)', 'm', 'mm2'] return ["1", "2", "m", "mm2"] elif pg == "4/mmm": # 5 # return ['1', 'm(s)', 'm(p)', 'mm2(s)', '4mm'] return ["1", "m", "mm2", "4mm"] # Trigonal: 12 elif pg == "3": # 1 return ["1"] elif pg == "-3": # 2 return ["1", "3"] elif pg == "32": # 3 return ["1", "2", "3"] elif pg == "3m": # 2 return ["1", "m"] elif pg == "-3m": # 4 return ["1", "2", "m", "3m"] # Hexagonal: 22 elif pg == "6": # 1 return ["1"] elif pg == "-6": # 3 return ["1", "m", "3"] elif pg == "6/m": # 3 return ["1", "m", "6"] elif pg == "622": # 3 # return ['1', '2(s)', '6'] return ["1", "2", "6"] elif pg == "6mm": # 2 return ["1", "2"] elif pg in ["-62m", "-6m2"]: # 5 # return ['1', 'm(s)', 'm(p)', 'mm2', '3m'] return ["1", "m", "mm2", "3m"] elif pg == "6/mmm": # 5 # return ['1', 'm(s)', 'm(p)', 'mm2(s)', '6mm'] return ["1", "m", "mm2", "6mm"] # Cubic: 21 elif pg == "23": # 3 return ["1", "2", "3"] elif pg == "m-3": # 4 return ["1", "m", "mm2", "3"] elif pg == "432": # 4 # return ['1', '2(s)', '4', '3'] return ["1", "2", "4", "3"] elif pg == "-43m": # 4 return ["1", "m", "mm2", "3m"] elif pg == "m-3m": # 6 # return ['1', 'm(s)', 'm(p)', 'mm2', '4mm', '3m'] return ["1", "m", "mm2", "4mm", "3m"] return None
[docs] def get_all_polar_space_groups(): ps, nps = [], [] for i in range(1, 231): g = Group(i, quick=True) if g.polar: ps.append(i) else: nps.append(i) return ps, nps
[docs] def abc2matrix(abc): """ Convert the ABC string representation to an affine matrix. Args: abc (str): String representation in formats like: - 'a, b, c' - 'a+c, b, c' - 'a+1/4, b+1/4, c' Returns: tuple: Contains: - 3x3 rotation matrix - 3-element translation vector Examples: >>> abc2matrix('a+1/4, b+1/4, c') (array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]]), array([0.25, 0.25, 0. ])) """ rot_matrix = np.zeros((3, 3)) trans = np.zeros(3) toks = abc.strip().replace(" ", "").lower().split(",") re_rot = re.compile(r"([+-]?)([\d\.]*)/?([\d\.]*)([a-c])") re_trans = re.compile(r"([+-]?)([\d\.]+)/?([\d\.]*)(?![a-c])") for i, tok in enumerate(toks): # build the rotation matrix for m in re_rot.finditer(tok): factor = -1.0 if m.group(1) == "-" else 1.0 if m.group(2) != "": if m.group(3) != "": factor *= float(m.group(2)) / float(m.group(3)) else: factor *= float(m.group(2)) j = ord(m.group(4)) - 97 try: rot_matrix[i, j] = factor except: print(abc) import sys; sys.exit() # build the translation vector for m in re_trans.finditer(tok): factor = -1 if m.group(1) == "-" else 1 num = float(m.group(2)) / float(m.group(3) ) if m.group(3) != "" else float(m.group(2)) trans[i] = num * factor return (rot_matrix, trans)
[docs] def get_symmetry_from_ops(ops, tol=1e-5): """ get the hall number from symmetry operations. Args: ops: tuple of (rotation, translation) or list of strings tol: tolerance """ from spglib import get_hall_number_from_symmetry if isinstance(ops[0], str): ops = [SymmOp.from_xyz_str(op) for op in ops] rot = [op.rotation_matrix for op in ops] tran = [op.translation_vector for op in ops] hall_number = get_hall_number_from_symmetry(rot, tran, tol) spg_number = HALL_TABLE["Spg_num"][hall_number - 1] return hall_number, spg_number
[docs] def identity_ops(op): """ check if the operation is the identity. """ (rot, trans) = op return bool(np.allclose(rot, np.eye(3)) and np.sum(np.abs(trans)) < 0.001)
[docs] def transform_ops(ops, P, P1): """ Transformation according to the P and P1 operations. Args: ops: list of symmtry ops P: transformation P1: inverse transformation """ # print("}++++++++++++++++++++++", len(ops)) rot_P = P[0].T rot_Q = P1[0].T tran_P = P[1] for i, op1 in enumerate(ops): # R = Q * R * P, suitable when P = {a-c, b, c} tran = rot_Q.dot(op1.translation_vector) - tran_P rot = rot_Q.dot(op1.rotation_matrix).dot(rot_P) op2 = SymmOp.from_rotation_and_translation(rot, tran) ops[i] = op2 # print("{:25s} ==> {:25s} ==> {:24s}".format(s1, s2, s3)) # in case of (x+1/2, y, z) as the first if np.linalg.norm(tran_P) > 1e-3: base = ops[0].translation_vector for i, op in enumerate(ops): inv = np.linalg.inv(op.affine_matrix) trans = inv[:3, 3] + base trans -= np.rint(trans) rot_ops = ops[i].rotation_matrix ops[i] = SymmOp.from_rotation_and_translation(rot_ops, trans) return ops
[docs] def trim_ops(ops): """ Convert the operation to the simplest form. For example: - ``x+1/8, y+1/8, z+1/8`` -> ``x, y, z`` - ``1/8, y+1/8, -y+1/8`` -> ``1/8, y, -y+1/4`` Args: ops (list): List of symmetry operations Returns: list: List of simplified symmetry operations """ def in_base(op, base): for b in base: if np.allclose(op, b[:3]) or np.allclose(op, -b[:3]): return b return None def process_rotation(rot, tran, base): for i in range(3): tmp = rot[i, :] if np.linalg.norm(tmp) > 1e-3: b = in_base(tmp, base) if b is None: _base = np.zeros(4) _base[:3] = tmp _base[3] = tran[i] base.append(_base) tran[i] = 0 else: coef = next(tmp[j] / b[j] for j in range(3) if abs(b[j]) > 0) tran[i] -= coef * b[3] return tran base = [] simplified_ops = [] for op in ops: rot = op.rotation_matrix tran = op.translation_vector tran = process_rotation(rot, tran, base) simplified_ops.append(SymmOp.from_rotation_and_translation(rot, tran)) return simplified_ops
[docs] def find_axis_order(axis, directions): for i, axes in enumerate(directions): for ax in axes: if ax == axis: return i return None
[docs] def get_symmetry_directions(lattice_type, symbol="P", unique_axis="b"): """ Get the symmetry directions """ if lattice_type == "monoclinic": if unique_axis == "b": return [[(0, 1, 0)]] elif unique_axis == "c": return [[(0, 0, 1)]] else: return [[(1, 0, 0)]] elif lattice_type == "orthorhombic": return [[(1, 0, 0)], [(0, 1, 0)], [(0, 0, 1)]] elif lattice_type == "tetragonal": return [[(0, 0, 1)], [(1, 0, 0), (0, 1, 0)], [(1, -1, 0), (1, 1, 0)]] elif lattice_type == "hexagonal" or (lattice_type == "trigonal" and symbol == "P"): return [ [(0, 0, 1)], [(1, 0, 0), (0, 1, 0), (1, 1, 0)], [(1, -1, 0), (1, 2, 0), (2, 1, 0)], ] elif lattice_type == "trigonal" and symbol == "R": return [[(0, 0, 1)], [(1, 0, 0), (0, 1, 0), (1, 1, 0)]] # elif lattice_type == 'rhombohedral': # return [[(0, 0, 1)], # [(1, 0, 0), (0, 1, 0), (-1, -1, 0)]] elif lattice_type == "cubic": return [ [(1, 0, 0), (0, 1, 0), (0, 0, 1)], [(1, 1, 1), (1, -1, -1), (-1, 1, -1), (-1, -1, 1)], [(1, -1, 0), (1, 1, 0), (0, 1, -1), (0, 1, 1), (-1, 0, 1), (1, 0, 1)], ] else: return [[(0, 1, 0)]]
[docs] def is_hkl_allowed(h, k, l, spg): """ Check if hkl is allowed based on systematic absences for the given space group. Symmetry Element | Affected Reflection | Condition for Reflection to Be Present ------------------------------|---------------------|---------------------------------------- Lattice Centering: primitive lattice (P) | hkl | always present body-centered lattice (I) | hkl | h + k + l = even end-centered lattice (A) | hkl | k + l = even end-centered lattice (B) | hkl | h + l = even end-centered lattice (C) | hkl | h + k = even face-centered lattice (F) | hkl | h, k, l all odd or all even Screw Axes: 2-fold screw, 21 || a | h00 | h = even 4-fold screw, 42 || a | h00 | h = even 6-fold screw, 63 || c | 00l | l divisible by 3 3-fold screw, 31 or 32 || c | 00l | l divisible by 3 6-fold screw, 62 or 64 || a | h00 | h divisible by 4 4-fold screw, 41 or 43 || a | h00 | h divisible by 4 6-fold screw, 61 or 65 || c | 00l | l divisible by 6 Glide Plane Perpendicular to the B-axis: a glide | h0l | h = even c glide | h0l | l = even n glide | h0l | h + l = even d glide | h0l | h + l divisible by 4 """ # Lattice Centering (Table 2.2.13.1.) if spg in body_centers: if not (h + k + l) % 2 == 0: # I-centering return False elif spg in face_centers: if not (h%2 == k%2 == l%2): # F-centering return False elif spg in c_centers: if not (h + k) % 2 == 0: # C-centering return False elif spg in a_centers: if not (k + l) % 2 == 0: # A-centering return False elif spg in r_centers: if not (h - k - l) % 3 == 0: # R-centering return False # Check screw_axis (Table 2.2.13.2) if spg in screw_21a + screw_42a: # if k == 0 and l == 0 and h % 2 == 1: return False if spg in screw_41a + screw_43a: # 4_1, 4_3 parallel to b, h00 with h%4 forbidden if k == 0 and l == 0 and h % 4 != 0: return False if spg in screw_21b + screw_42b: # 2_1, 4_2 parallel to b, 0k0 with k%2 forbidden if h == 0 and l == 0 and k % 2 == 1: return False if spg in screw_41b + screw_43b: # 4_1, 4_3 parallel to b, 0k0 with k%4 forbidden if h == 0 and l == 0 and k % 4 != 0: return False if spg in screw_21c + screw_42c + screw_63c: # 2_1, 4_2 parallel to c, 00l with l%2 forbidden if h == 0 and k == 0 and l % 2 == 1: return False if spg in screw_41c + screw_43c: # 4_1, 4_3 parallel to c, 00l with l%4 forbidden if h == 0 and k == 0 and l % 4 != 0: return False if spg in screw_31c + screw_32c + screw_62c + screw_64c: # 3_1, 3_2 parallel to c, 00l with l%3 forbidden if h == 0 and k == 0 and l % 3 != 0: return False if spg in screw_61c + screw_65c: # 6_1, 6_5 perpendicular to c, 00l with l%6 forbidden if h == 0 and k == 0 and l % 6 != 0: return False # Check glide_plane (Table 2.2.13.2) if spg in b_glide_a: # a-glide perpendicular to b: 0kl with h odd forbidden if h == 0 and k % 2 == 1: return False if spg in c_glide_a: # c-glide perpendicular to b: 0kl with l odd forbidden if h == 0 and l % 2 == 1: return False if spg in n_glide_a: # n-glide perpendicular to b: 0kl with k+l odd forbidden if h == 0 and (k + l) % 2 == 1: return False if spg in d_glide_a: # d-glide perpendicular to b: 0kl with k+l not divisible by 4 forbidden if h == 0 and (k + l) % 4 != 0: return False if spg in a_glide_b: # a-glide perpendicular to a: h0l with k odd forbidden if k == 0 and h % 2 == 1: return False if spg in c_glide_b: # c-glide perpendicular to a: h0l with l odd forbidden if spg > 15: if k == 0 and l % 2 == 1: return False else: if k == 0 and (l % 2 == 1 and (h + l) % 2 == 1): return False if spg in n_glide_b: # n-glide perpendicular to a: h0l with h+l odd forbidden if k == 0 and (h + l) % 2 == 1: return False if spg in d_glide_b: # d-glide perpendicular to a: h0l with h+l not divisible by 4 forbidden if k == 0 and (h + l) % 4 != 0: return False if spg in a_glide_c: # a-glide perpendicular to c: hk0 with l odd forbidden if l == 0 and h % 2 == 1: return False if spg in b_glide_c: # b-glide perpendicular to c: if l == 0 and k % 2 == 1: return False if spg in n_glide_c: # n-glide perpendicular to c: if l == 0 and (h + k) % 2 == 1: return False if spg in d_glide_c: # d-glide perpendicular to c: if l == 0 and (h + k) % 4 != 0: return False if spg in cn_glide_110: # n-glide perpendicular to [110]: hhl with l odd forbidden if h == k and l % 2 == 1: return False elif spg in d_glide_110: if h == k and h % 2 == 0 and (h+k+l) % 4 != 0: return False if spg in an_glide_011: # n-glide perpendicular to [011]: 0ll with h odd forbidden if k == l and h % 2 == 1: return False elif spg in d_glide_011: # d-glide perpendicular to [011]: 0ll with h not divisible by 4 forbidden if k == l and h % 2 == 0 and (h+k+l) % 4 != 0: return False if spg in bn_glide_101: # n-glide perpendicular to [101]: hkh with k odd forbidden if h == l and k % 2 == 1: return False elif spg in d_glide_101: # d-glide perpendicular to [101]: if h == l and k % 2 == 0 and (h+k+l) % 4 != 0: return False return True
[docs] def get_canonical_hkl(h, k, l, spg): """ Get the canonical form of hkl for each crystal system to remove symmetry equivalents """ hkl = [abs(h), abs(k), abs(l)] # Take absolute values first def canonical_hex_hkl(h, k, l): """Canonicalize hkl for hexagonal systems using 6-fold in-plane symmetry.""" candidates = [ (h, k, l), (-k, h + k, l), (-h - k, h, l), (-h, -k, l), (k, -h - k, l), (h + k, -h, l), ] candidates = [tuple(abs(x) for x in c) for c in candidates] return max(candidates) if spg >= 195: # cubic # For cubic: sort in descending order # (2,2,0), (2,0,2), (0,2,2) all become (2,2,0) hkl.sort(reverse=True) return tuple(hkl) elif spg >= 168: # hexagonal return canonical_hex_hkl(h, k, abs(l)) elif spg >= 143: # trigonal h_sorted = sorted([hkl[0], hkl[1]], reverse=True) return tuple([h_sorted[0], h_sorted[1], hkl[2]]) elif spg >= 75: # tetragonal # For tetragonal: h and k are equivalent, l is unique # (2,1,3) and (1,2,3) are equivalent -> (2,1,3) h_sorted = sorted([hkl[0], hkl[1]], reverse=True) return tuple([h_sorted[0], h_sorted[1], hkl[2]]) else: # monoclinic, triclinic # Lower symmetry: sort to remove permutation duplicates #hkl.sort(reverse=True) return tuple(hkl)
[docs] def get_canonical_hkl_series(hkl_series, spg): """ Get canonical forms for a series of hkls ensuring consistent permutation order. Apply the same permutation to ALL hkls in the series. Args: hkl_series: list of (h, k, l) tuples spg: space group number Returns: tuple: canonical_series as a tuple (hashable) """ from itertools import permutations def canonical_hex_hkl(h, k, l): """Canonicalize hkl for hexagonal systems using 6-fold in-plane symmetry.""" candidates = [ (h, k, l), (-k, h + k, l), (-h - k, h, l), (-h, -k, l), (k, -h - k, l), (h + k, -h, l), ] candidates = [tuple(abs(x) for x in c) for c in candidates] return max(candidates) def apply_permutation_to_series(hkl_series, perm): """Apply the same permutation to all hkls in the series""" return [tuple(abs(hkl[i]) for i in perm) for hkl in hkl_series] if spg >= 195: # cubic - all three indices equivalent # Try all 6 permutations and pick the lexicographically largest result best_canonical = None best_score = None for perm in permutations([0, 1, 2]): # Apply the same permutation to the entire series canonical_series = apply_permutation_to_series(hkl_series, perm) # Sort each individual hkl in descending order canonical_series = [tuple(sorted(hkl, reverse=True)) for hkl in canonical_series] # Score based on lexicographic ordering score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl)) for hkl in canonical_series) if best_score is None or score > best_score: best_score = score best_canonical = canonical_series return tuple(best_canonical) elif spg >= 168: # hexagonal - 6-fold in-plane symmetry, l unique canonical_series = [canonical_hex_hkl(h, k, l) for h, k, l in hkl_series] return tuple(canonical_series) elif spg >= 143: # trigonal - h and k equivalent, l unique best_canonical = None best_score = None # Try permutations that maintain crystallographic meaning perms_to_try = [(0, 1, 2), (1, 0, 2)] # Keep l in position, swap h,k for perm in perms_to_try: # Apply the same permutation to the entire series canonical_series = apply_permutation_to_series(hkl_series, perm) # For trigonal: sort h,k but keep l separate canonical_series = [ tuple([*sorted([hkl[0], hkl[1]], reverse=True), hkl[2]]) for hkl in canonical_series ] # Score the result score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl)) for hkl in canonical_series) if best_score is None or score > best_score: best_score = score best_canonical = canonical_series return tuple(best_canonical) elif spg >= 75: # tetragonal - h and k equivalent, l unique best_canonical = None best_score = None # Try permutations that maintain crystallographic meaning perms_to_try = [(0, 1, 2), (1, 0, 2)] # Keep l in position, swap h,k for perm in perms_to_try: # Apply the same permutation to the entire series canonical_series = apply_permutation_to_series(hkl_series, perm) # For tetragonal: sort h,k but keep l separate canonical_series = [ tuple([*sorted([hkl[0], hkl[1]], reverse=True), hkl[2]]) for hkl in canonical_series ] # Score the result score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl)) for hkl in canonical_series) if best_score is None or score > best_score: best_score = score best_canonical = canonical_series return tuple(best_canonical) else: # lower symmetry # Try all permutations for the entire series best_canonical = None best_score = None for perm in permutations([0, 1, 2]): # Apply the same permutation to the entire series canonical_series = apply_permutation_to_series(hkl_series, perm) # Sort each hkl in descending order #canonical_series = [tuple(sorted(hkl, reverse=True)) for hkl in canonical_series] # Score the result score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl)) for hkl in canonical_series) #print(perm, hkl_series, '->', canonical_series, 'score:', score) if best_score is None or score > best_score: best_score = score best_canonical = canonical_series return tuple(best_canonical)
[docs] def get_bravais_lattice(spg): """ 1: Triclinic-P 2: Monoclinic-P 3: Monoclinic-C 4: Orthorhombic-P 5: Orthorhombic-A 6: Orthorhombic-C 7: Orthorhombic-I 8: Orthorhombic-F 9: Tetragonal-P 10: Tetragonal-I 11: Hexagonal-P 12: Rhombohedral-R 13: Cubic-P 14: Cubic-I 15: Cubic-F """ if spg < 3: # Triclinic-P return 1 elif spg < 16: # Monoclinic if spg in [3, 4, 6, 7, 10, 11, 13, 14]: #P return 2 else: # C return 3 elif spg < 75: # Orthorhombic if spg in [38, 39, 40, 41]: #A return 5 if spg in [20, 21, 35, 36, 37, 63, 64, 65, 66, 67, 68]: #C return 6 elif spg in [23, 24, 44, 45, 46, 71, 72, 73, 74]:#I return 7 elif spg in [22, 42, 43, 69, 70]: #F return 8 else: return 4 elif spg < 143: #Tetragonal if spg in [79, 80, 82, 87, 88, 97, 98, 107, 108, 109, 110, 119, 120, 121, 122, 139, 140, 141, 142]: #I return 10 else: return 9 elif spg < 195: # Hexagonal if spg in [146, 148, 155, 160, 161, 166, 167]: return 12 else: return 11 else: # Cubic if spg in [197, 199, 204, 206, 211, 214, 217, 220, 229, 230]: # I return 14 elif spg in [196, 202, 203, 209, 210, 216, 219, 225, 226, 227, 228]: # F return 15 else: return 13
[docs] def get_lattice_type(bravais): """ Get the lattice type string from bravais lattice number. """ if bravais in [13, 14, 15]: return 6 elif bravais in [11, 12]: return 5 elif bravais in [9, 10]: return 4 elif bravais in [4, 5, 6, 7, 8]: return 3 elif bravais in [2, 3]: return 2 else: return 1
[docs] def is_hkl_allowed_by_bravais(h, k, l, bravais): """ Check if hkl is allowed based on systematic absences for the given space group. Symmetry Element | Affected Reflection | Condition for Reflection to Be Present ------------------------------|---------------------|---------------------------------------- Lattice Centering: primitive lattice (P) | hkl | always present body-centered lattice (I) | hkl | h + k + l = even end-centered lattice (A) | hkl | k + l = even end-centered lattice (B) | hkl | h + l = even end-centered lattice (C) | hkl | h + k = even face-centered lattice (F) | hkl | h, k, l all odd or all even r-centered lattice (R) | hkl | h-k-l % 3 """ # Lattice Centering (Table 2.2.13.1.) if bravais in [1, 2, 4, 9, 11, 13]: return True elif bravais in [7, 10, 14]: if not (h + k + l) % 2 == 0: # I-centering return False elif bravais in [8, 15]: if not (h%2 == k%2 == l%2): # F-centering return False elif bravais in [3, 6]: if not (h + k) % 2 == 0: # C-centering return False elif bravais in [5]: if not (k + l) % 2 == 0: # A-centering return False elif bravais in [12]: if not (h - k - l) % 3 == 0: # R-centering return False return True
[docs] def generate_possible_hkls(bravais, h_max=50, k_max=50, l_max=50): """ Generate reasonable hkl indices within a cutoff for different crystal systems. Args: bravrais: bravais lattice type (1-15) h_max: maximum absolute value for h k_max: maximum absolute value for k l_max: maximum absolute value for l level: level of indexing (0 for triclinic; 1 for monoclinic; 2 for orthorhombic or higher) """ if bravais in [4, 5, 6, 7, 8, 9, 10, 13, 14, 15]: level = 3 # orthorhombic or higher elif bravais in [11, 12]: level = 2 # hexagonal elif bravais in [2, 3]: level = 1 # monoclinic else: level = 0 # triclinic if level == 3: # orthorhombic or higher base_signs = [(1, 1, 1)] elif level == 2: # hexagonal (110) (1-10) base_signs = [(1, 1, 1), (1, -1, 1)] elif level == 1: # monoclinic, baxis unique, (101) (10-1) base_signs = [(1, 1, 1), (1, 1, -1)] else: base_signs = [(1, 1, 1), (1, 1, -1), (1, -1, 1), (-1, 1, 1), (1, -1, -1), (-1, 1, -1), (-1, -1, 1), (-1, -1, -1)] # Create meshgrid for all h, k, l combinations h_vals, k_vals, l_vals = np.meshgrid( np.arange(h_max + 1), np.arange(k_max + 1), np.arange(l_max + 1), indexing='ij' ) # Flatten to get all combinations h_flat = h_vals.flatten() k_flat = k_vals.flatten() l_flat = l_vals.flatten() # Filter out (0,0,0) non_zero_mask = (h_flat**2 + k_flat**2 + l_flat**2) > 0 h_flat = h_flat[non_zero_mask] k_flat = k_flat[non_zero_mask] l_flat = l_flat[non_zero_mask] h1_flat, k1_flat, l1_flat = [], [], [] for h, k, l in zip(h_flat, k_flat, l_flat): if is_hkl_allowed_by_bravais(h, k, l, bravais): h1_flat.append(h) k1_flat.append(k) l1_flat.append(l) h1_flat = np.array(h1_flat) k1_flat = np.array(k1_flat) l1_flat = np.array(l1_flat) # Apply all sign combinations vectorized all_hkls = [] for signs in base_signs: sh = signs[0] * h1_flat sk = signs[1] * k1_flat sl = signs[2] * l1_flat hkls_with_signs = np.column_stack([sh, sk, sl]) all_hkls.append(hkls_with_signs) all_hkls = np.vstack(all_hkls) # Remove symmetry-equivalent hkls using representative space groups bravais_to_spg = { 1: 1, # triclinic P 2: 3, # monoclinic P 3: 5, # monoclinic C 4: 16, # orthorhombic P 5: 16, # orthorhombic A 6: 16, # orthorhombic C 7: 16, # orthorhombic I 8: 16, # orthorhombic F 9: 75, # tetragonal P 10: 79, # tetragonal I 11: 168, # hexagonal P 12: 143, # rhombohedral/trigonal R 13: 195, # cubic P 14: 197, # cubic I 15: 196, # cubic F } spg = bravais_to_spg[bravais] # Build reciprocal-space rotation operators from a representative space group reciprocal_ops = [] op_seen = set() group = Group(spg) if len(group.wyckoffs) > 0 and len(group.wyckoffs[0]) > 0: for op in group.wyckoffs[0]: try: matrix = np.rint(np.linalg.inv(op.rotation_matrix).T).astype(int) except np.linalg.LinAlgError: continue key = tuple(matrix.flatten().tolist()) if key not in op_seen: op_seen.add(key) reciprocal_ops.append(matrix) if len(reciprocal_ops) == 0: reciprocal_ops = [np.eye(3, dtype=int)] unique_hkls = [] seen = set() for h, k, l in all_hkls: vec = np.array([int(h), int(k), int(l)], dtype=int) orbit = [tuple((matrix @ vec).tolist()) for matrix in reciprocal_ops] symmetry_key = max(orbit) if symmetry_key not in seen: seen.add(symmetry_key) unique_hkls.append(tuple(vec.tolist())) return np.array(unique_hkls, dtype=int)
if __name__ == "__main__": print("Test pyxtal.wp.site symmetry") spg_list = [14, 36, 62, 99, 143, 160, 182, 183, 191, 192, 193, 194, 225, 230] spg_list = [191, 192] for i in spg_list: g = Group(i) for wp in g: wp.get_site_symmetry() print(f"{wp.number:4d} {wp.get_label():10s} {wp.site_symm:10s}") print("Test pyxtal.wp.site symmetry representation") for i in spg_list: g = Group(i) for wp in g: if wp.index > 0: for idx in range(1): # wp.multiplicity): ss = wp.get_site_symmetry_object(idx) print( f"\n{wp.number:4d} {wp.get_label():10s} {ss.name:10s}", ss.hm_symbols, ) # ss.to_beautiful_matrix_representation(skip=True) # print(ss.to_matrix_representation()) # print(ss.to_one_hot()) print("Test pyxtal.wp.site space group") for i in spg_list: g = Group(i) print("\n", g.number, g.symbol) ss = g.get_spg_symmetry_object() #ss.to_beautiful_matrix_representation() # matrix = ss.to_matrix_representation_spg() # print(matrix) # print(sum(sum(matrix)))