git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@14326 f3b2605a-c512-4ea7-a41b-209d697bcdaa

This commit is contained in:
sjplimp 2015-12-09 21:09:50 +00:00
parent 582ba55e4a
commit e000e4a04f
5 changed files with 16277 additions and 27 deletions

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@ -15,21 +15,14 @@ if len(argv) != 1:
print "Syntax: demo.py"
sys.exit()
me = 0
# uncomment if running in parallel via Pypar
#import pypar
#me = pypar.rank()
#nprocs = pypar.size()
from lammps import lammps
lmp = lammps()
# test out various library functions after running in.demo
lmp.file("in.demo")
if me == 0: print "\nPython output:"
print "\nPython output:"
natoms = lmp.extract_global("natoms",0)
mass = lmp.extract_atom("mass",2)
@ -55,7 +48,3 @@ xc[0] = xc[0] + 1.0
lmp.scatter_atoms("x",1,3,xc)
print "Changed x[0][0] via scatter_atoms =",x[0][0]
# uncomment if running in parallel via Pypar
#print "Proc %d out of %d procs has" % (me,nprocs), lmp
#pypar.finalize()

16168
python/examples/log.lammps Normal file

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@ -2,9 +2,24 @@
# preceeding line should have path for Python on your machine
# simple.py
# Purpose: mimic operation of couple/simple/simple.cpp via Python
# Syntax: simple.py in.lammps
# in.lammps = LAMMPS input script
# 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
@ -19,11 +34,16 @@ infile = sys.argv[1]
me = 0
# uncomment if running in parallel via Pypar
# 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()
@ -54,3 +74,7 @@ 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()

79
python/examples/split.py Executable file
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@ -0,0 +1,79 @@
#!/usr/bin/env python -i
# preceeding line should have path for Python on your machine
# split.py
# Purpose: similar to simple.py, but first the world communicator
# is split in two halves and LAMMPS is run only on one partition
# Syntax: split.py in.lammps
# in.lammps = LAMMPS input script
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
# this example *only* works with mpi4py version 2.0.0 or later
from mpi4py import MPI
comm = MPI.COMM_WORLD
me = comm.Get_rank()
nprocs = comm.Get_size()
# create two subcommunicators
if me < nprocs // 2: color = 0
else: color = 1
split = comm.Split(color,key=0)
if color == 0:
from lammps import lammps
lmp = lammps(comm=split)
# 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]
print "Proc %d out of %d procs has" % (me,nprocs), lmp
print "Calculation on partition 0 complete"
else:
# could run a 2nd calculation on second partition
# with different LAMMPS instance or another code
# in this case, just sleep on second partition
import time
time.sleep(2)
print "Calculation on partition 1 complete"
# shutdown mpi4py
comm.Barrier()
MPI.Finalize()

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@ -17,12 +17,6 @@ if len(argv) != 2:
infile = sys.argv[1]
me = 0
# uncomment if running in parallel via Pypar
#import pypar
#me = pypar.rank()
#nprocs = pypar.size()
from lammps import lammps
lmp = lammps()
@ -30,11 +24,7 @@ lmp = lammps()
lmp.file(infile)
# run infile one line at a time
# or run infile one line at a time
#lines = open(infile,'r').readlines()
#for line in lines: lmp.command(line)
# uncomment if running in parallel via Pypar
#print "Proc %d out of %d procs has" % (me,nprocs), lmp
#pypar.finalize()