Source code for mbgdml.structure_gen.packmol_gen
# MIT License
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# Copyright (c) 2022-2023, Alex M. Maldonado
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"""Packmol routines"""
import os
import subprocess
import numpy as np
from ..utils import parse_xyz, atoms_by_number
from ..logger import GDMLLogger
log = GDMLLogger(__name__)
[docs]def get_packmol_input(
shape,
length_scale,
mol_numbers,
mol_paths,
output_path=None,
periodic=False,
dist_tolerance=2.0,
filetype="xyz",
seed=-1,
periodic_shift=1.0,
):
r"""Packmol input file lines for a box containing one or more species.
Parameters
----------
shape : :obj:`str`
Desired packmol shape. Supported options: ``sphere``, ``box``.
length_scale : :obj:`float`
Relevant length scale in Angstroms for the packmol shape.
- ``sphere``: diameter;
- ``box``: side length.
mol_numbers : :obj:`numpy.ndarray`, ndim: ``1``
Number of molecules for each species.
mol_paths : :obj:`list` of :obj:`str`
Paths to xyz files for each species in the same order as ``mol_numbers``.
output_path : :obj:`str`, default: ``None``
Path to save the xyz file. If ``None``, then no output line is included.
periodic : :obj:`bool`, default: ``False``
Will periodic boundary conditions be used?
dist_tolerance : :obj:`bool`, default: ``2.0``
The minimum distance between pairs of atoms of different molecules.
filetype : :obj:`str`, default: ``xyz``
Packmol output format.
seed : :obj:`int`, default: ``-1``
Random number generator seed. If equal to ``-1`` then a random seed is
generated.
periodic_shift : :obj:`float`, default: ``1.0``
Reduce the length scale by this much in Angstroms on all sides. This means
periodic images will be 2.0 Angstroms apart (with the default value).
Examples
--------
>>> shape = "box"
>>> length_scale = 10.0
>>> num_mols = np.array([33], dtype=np.uint16)
>>> mol_paths = "./1h2o.xyz"
>>> packmol_box_input(
... shape, length_scale, num_mols, mol_paths, periodic=True
... )
['tolerance 2.0\n', 'filetype xyz\n\n', 'structure ./1h2o.xyz\n',
' number 33\n', ' inside box 1.0 1.0 1.0 9.0 9.0 9.0\n', 'end structure\n\n']
"""
if shape not in ["sphere", "box"]:
raise ValueError(f"{shape} is not a valid selection.")
if shape == "sphere":
if periodic:
raise ValueError()
# Handling periodic lengths for packmol.
length_scale = float(length_scale)
if periodic:
length_scale = length_scale - periodic_shift
else:
periodic_shift = 0.0
shape_input = (
f" inside box {periodic_shift} {periodic_shift} {periodic_shift} "
f"{length_scale} {length_scale} {length_scale}"
)
packmol_input_lines = [
f"tolerance {dist_tolerance}",
f"seed {seed}",
f"filetype {filetype}\n",
]
if isinstance(mol_paths, str):
mol_paths = [
mol_paths,
]
for num_mol, mol_path in zip(mol_numbers, mol_paths):
packmol_input_lines.extend(
[
f"structure {mol_path}",
f" number {num_mol}",
shape_input,
"end structure\n",
]
)
if output_path is not None:
packmol_input_lines.append(f"output {output_path}")
packmol_input_lines = [i + "\n" for i in packmol_input_lines]
return packmol_input_lines
[docs]def run_packmol(work_dir, packmol_input_lines, packmol_path="packmol"):
r"""Generate structure by running packmol.
Output must be in the xyz format.
Parameters
----------
work_dir : :obj:`str`
Work directory to write input file and run packmol.
packmol_input_lines : :obj:`list`
Lines to a packmol input file.
packmol_path : :obj:`str`, default: ``packmol``
Path to packmol binary. Default value assumes it can be located in your
``PATH``.
Returns
-------
:obj:`numpy.ndarray`
Atomic numbers of the structure
:obj:`numpy.ndarray`
Cartesian coordinates of the structure.
"""
if not os.path.exists(work_dir):
raise RuntimeError(f"The working directory, {work_dir}, does not exist")
input_path = os.path.join(work_dir, "packmol.in")
with open(input_path, mode="w+", encoding="utf-8") as f:
f.writelines(packmol_input_lines)
subprocess.run(
f"{packmol_path} < {input_path}", capture_output=False, shell=True, check=True
)
for line in packmol_input_lines:
if "output " in line:
_, output_path = line.strip().split(" ")
elements, _, R = parse_xyz(output_path)
Z = np.array(atoms_by_number(elements[0]), dtype=np.uint8)
R = np.array(R[0], dtype=np.float64)
return Z, R