Source code for psi4.driver.molutil
#
# @BEGIN LICENSE
#
# Psi4: an open-source quantum chemistry software package
#
# Copyright (c) 2007-2017 The Psi4 Developers.
#
# The copyrights for code used from other parties are included in
# the corresponding files.
#
# This file is part of Psi4.
#
# Psi4 is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, version 3.
#
# Psi4 is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License along
# with Psi4; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
# @END LICENSE
#
"""Module with utility functions that act on molecule objects."""
from __future__ import absolute_import
import math
import re
from psi4 import core
from psi4.driver.p4util import constants, filter_comments
from psi4.driver.inputparser import process_pubchem_command, pubchemre
[docs]def extract_clusters(mol, ghost=True, cluster_size=0):
"""Function to return all subclusters of the molecule *mol* of
real size *cluster_size* and all other atoms ghosted if *ghost*
equals true, all other atoms discarded if *ghost* is false. If
*cluster_size* = 0, returns all possible combinations of cluster size.
"""
# How many levels of clusters are possible?
nfrag = mol.nfragments()
# Initialize the cluster array
clusters = []
# scope the arrays
reals = []
ghosts = []
# counter
counter = 0
# loop over all possible cluster sizes
for nreal in range(nfrag, 0, -1):
# if a specific cluster size size is requested, only do that
if (nreal != cluster_size and cluster_size > 0):
continue
# initialize the reals list
reals = []
# setup first combination [3,2,1] lexical ordering
# fragments indexing is 1's based, bloody hell
for index in range(nreal, 0, -1):
reals.append(index)
# start loop through lexical promotion
while True:
counter = counter + 1
# Generate cluster from last iteration
if (ghost):
ghosts = []
for g in range(nfrag, 0, -1):
if (g not in reals):
ghosts.append(g)
clusters.append(mol.extract_subsets(reals, ghosts))
else:
clusters.append(mol.extract_subsets(reals))
# reset rank
rank = 0
# look for lexical promotion opportunity
# i.e.: [4 2 1] has a promotion opportunity at
# index 1 to produce [4 3 1]
for k in range(nreal - 2, -1, -1):
if (reals[k] != reals[k + 1] + 1):
rank = k + 1
break
# do the promotion
reals[rank] = reals[rank] + 1
# demote the right portion of the register
val = 1
for k in range(nreal - 1, rank, -1):
reals[k] = val
val = val + 1
# boundary condition is promotion into
# [nfrag+1 nfrag-1 ...]
if (reals[0] > nfrag):
break
return clusters
[docs]def extract_cluster_indexing(mol, cluster_size=0):
"""Function to returns a LIST of all subclusters of the molecule *mol* of
real size *cluster_size*. If *cluster_size* = 0, returns all possible
combinations of cluster size.
"""
import copy
# How many levels of clusters are possible?
nfrag = mol.nfragments()
# Initialize the cluster array
clusters = []
# scope the arrays
reals = []
# counter
counter = 0
# loop over all possible cluster sizes
for nreal in range(nfrag, 0, -1):
# if a specific cluster size size is requested, only do that
if (nreal != cluster_size and cluster_size > 0):
continue
# initialize the reals list
reals = []
# setup first combination [3,2,1] lexical ordering
# fragments indexing is 1's based, bloody hell
for index in range(nreal, 0, -1):
reals.append(index)
# start loop through lexical promotion
while True:
counter = counter + 1
# Generate cluster from last iteration
clusters.append(copy.deepcopy(reals))
# reset rank
rank = 0
# look for lexical promotion opportunity
# i.e.: [4 2 1] has a promotion opportunity at
# index 1 to produce [4 3 1]
for k in range(nreal - 2, -1, -1):
if (reals[k] != reals[k + 1] + 1):
rank = k + 1
break
# do the promotion
reals[rank] = reals[rank] + 1
# demote the right portion of the register
val = 1
for k in range(nreal - 1, rank, -1):
reals[k] = val
val = val + 1
# boundary condition is promotion into
# [nfrag+1 nfrag-1 ...]
if (reals[0] > nfrag):
break
return clusters
[docs]def molecule_set_attr(self, name, value):
"""Function to redefine __setattr__ method of molecule class."""
fxn = object.__getattribute__(self, "is_variable")
isvar = fxn(name)
if isvar:
fxn = object.__getattribute__(self, "set_variable")
fxn(name, value)
return
object.__setattr__(self, name, value)
[docs]def molecule_get_attr(self, name):
"""Function to redefine __getattr__ method of molecule class."""
fxn = object.__getattribute__(self, "is_variable")
isvar = fxn(name)
if isvar:
fxn = object.__getattribute__(self, "get_variable")
return fxn(name)
return object.__getattribute__(self, name)
[docs]def BFS(self):
"""Perform a breadth-first search (BFS) on the real atoms
in molecule, returning an array of atom indices of fragments.
Relies upon van der Waals radii and so faulty for close
(esp. hydrogen-bonded) fragments. Original code from
Michael S. Marshall.
"""
vdW_diameter = {
'H': 1.001 / 1.5,
'HE': 1.012 / 1.5,
'LI': 0.825 / 1.5,
'BE': 1.408 / 1.5,
'B': 1.485 / 1.5,
'C': 1.452 / 1.5,
'N': 1.397 / 1.5,
'O': 1.342 / 1.5,
'F': 1.287 / 1.5,
'NE': 1.243 / 1.5,
'NA': 1.144 / 1.5,
'MG': 1.364 / 1.5,
'AL': 1.639 / 1.5,
'SI': 1.716 / 1.5,
'P': 1.705 / 1.5,
'S': 1.683 / 1.5,
'CL': 1.639 / 1.5,
'AR': 1.595 / 1.5}
Queue = []
White = range(self.natom()) # untouched
Black = [] # touched and all edges discovered
Fragment = [] # stores fragments
start = 0 # starts with the first atom in the list
Queue.append(start)
White.remove(start)
# Simply start with the first atom, do a BFS when done, go to any
# untouched atom and start again iterate until all atoms belong
# to a fragment group
while White or Queue: # Iterates to the next fragment
Fragment.append([])
while Queue: # BFS within a fragment
for u in Queue: # find all white neighbors to vertex u
for i in White:
dist = constants.bohr2angstroms * math.sqrt(
(self.x(i) - self.x(u)) ** 2 +
(self.y(i) - self.y(u)) ** 2 +
(self.z(i) - self.z(u)) ** 2)
if dist < vdW_diameter[self.symbol(u)] + \
vdW_diameter[self.symbol(i)]:
Queue.append(i) # if you find you, put in the queue
White.remove(i) # & remove it from the untouched list
Queue.remove(u) # remove focus from Queue
Black.append(u)
Fragment[-1].append(int(u)) # add to group (0-indexed)
Fragment[-1].sort() # preserve original atom ordering
if White: # can't move White -> Queue if empty
Queue.append(White[0])
White.remove(White[0])
return Fragment
[docs]def dynamic_variable_bind(cls):
"""Function to dynamically add extra members to
the core.Molecule class.
"""
cls.__setattr__ = molecule_set_attr
cls.__getattr__ = molecule_get_attr
cls.BFS = BFS
dynamic_variable_bind(core.Molecule) # pass class type, not class instance
#
# Define geometry to be used by PSI4.
# The molecule created by this will be set in options.
#
# geometry("
# O 1.0 0.0 0.0
# H 0.0 1.0 0.0
# H 0.0 0.0 0.0
#
[docs]def geometry(geom, name="default"):
"""Function to create a molecule object of name *name* from the
geometry in string *geom*. Permitted for user use but deprecated
in driver in favor of explicit molecule-passing. Comments within
the string are filtered.
"""
core.efp_init()
geom = pubchemre.sub(process_pubchem_command, geom)
geom = filter_comments(geom)
molecule = core.Molecule.create_molecule_from_string(geom)
molecule.set_name(name)
activate(molecule)
return molecule
[docs]def activate(mol):
"""Function to set molecule object *mol* as the current active molecule.
Permitted for user use but deprecated in driver in favor of explicit
molecule-passing.
"""
core.set_active_molecule(mol)
