Page MenuHomec4science
Files F90824027

simple.py
No OneTemporary
Actions

File Metadata

Created
Tue, Nov 5, 02:46

simple.py
View Options

#!/usr/bin/env python -i
# preceeding line should have path for Python on your machine
# simple.py
# Purpose: mimic operation of examples/COUPLE/simple/simple.cpp via Python
# Serial syntax: simple.py in.lammps
# in.lammps = LAMMPS input script
# Parallel syntax: mpirun -np 4 simple.py in.lammps
# in.lammps = LAMMPS input script
# if run in parallel with script as-is:
# will invoke P instances of a one-processor run
# both Python and LAMMPS will run on single processors
# each will read same input file, write to same log.lammps file (bad)
# if run in parallel after uncommening either Pypar or mpi4py sections below:
# will invoke 1 instance of a P-processor run
# both Python and LAMMPS will run in parallel
# see the split.py example for how to use multiple procs
# to run multiple LAMMPS jobs, each on a subset of procs
import sys
# parse command line
argv = sys.argv
if len(argv) != 2:
print "Syntax: simple.py in.lammps"
sys.exit()
infile = sys.argv[1]
me = 0
# uncomment this if running in parallel via Pypar
#import pypar
#me = pypar.rank()
#nprocs = pypar.size()
# uncomment this if running in parallel via mpi4py
#from mpi4py import MPI
#me = MPI.COMM_WORLD.Get_rank()
#nprocs = MPI.COMM_WORLD.Get_size()
from lammps import lammps
lmp = lammps()
# run infile one line at a time
lines = open(infile,'r').readlines()
for line in lines: lmp.command(line)
# run 10 more steps
# get coords from LAMMPS
# change coords of 1st atom
# put coords back into LAMMPS
# run a single step with changed coords
lmp.command("run 10")
x = lmp.gather_atoms("x",1,3)
epsilon = 0.1
x[0] += epsilon
lmp.scatter_atoms("x",1,3,x)
lmp.command("run 1");
f = lmp.extract_atom("f",3)
print "Force on 1 atom via extract_atom: ",f[0][0]
fx = lmp.extract_variable("fx","all",1)
print "Force on 1 atom via extract_variable:",fx[0]
# uncomment if running in parallel via Pypar
#print "Proc %d out of %d procs has" % (me,nprocs), lmp
#pypar.finalize()
# uncomment if running in parallel via mpi4py
#print "Proc %d out of %d procs has" % (me,nprocs), lmp
#MPI.Finalize()

Event Timeline

c4science · Help