Remove pypar and non-functional commented code

This commit is contained in:
Richard Berger
2021-06-02 11:07:18 -04:00
parent 0aaad39233
commit 5fe890679c
9 changed files with 25 additions and 74 deletions

View File

@ -28,10 +28,10 @@ nsteps = int(sys.argv[3])
compute = sys.argv[4]
me = 0
# uncomment 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()
@ -71,6 +71,5 @@ while ntimestep < nsteps:
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
# uncomment if running in parallel via mpi4py
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -28,10 +28,10 @@ nfreq = int(sys.argv[2])
nsteps = int(sys.argv[3])
me = 0
# uncomment 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()
@ -68,6 +68,5 @@ while ntimestep < nsteps:
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
# uncomment if running in parallel via mpi4py
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -24,10 +24,10 @@ nfreq = int(sys.argv[2])
nsteps = int(sys.argv[3])
me = 0
# uncomment 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()
@ -83,6 +83,5 @@ while ntimestep < nsteps:
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
# uncomment if running in parallel via mpi4py
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -24,10 +24,10 @@ nfreq = int(sys.argv[2])
nsteps = int(sys.argv[3])
me = 0
# uncomment 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()
@ -78,6 +78,5 @@ while ntimestep < nsteps:
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
# uncomment if running in parallel via mpi4py
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -24,10 +24,10 @@ nfreq = int(sys.argv[2])
nsteps = int(sys.argv[3])
me = 0
# uncomment 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()
@ -87,6 +87,5 @@ if me == 0:
#v.enter()
#v.stop()
# uncomment if running in parallel via Pypar
# uncomment if running in parallel via mpi4py
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -9,9 +9,6 @@
# compute-ID = ID of compute that calculates temperature
# (or any other scalar quantity)
# IMPORTANT: this script cannot yet be run in parallel via Pypar,
# because I can't seem to do a MPI-style broadcast in Pypar
from __future__ import print_function
import sys,os,time
sys.path.append("./pizza")
@ -59,10 +56,6 @@ nfreq = int(sys.argv[2])
compute = sys.argv[3]
me = 0
# uncomment if running in parallel via Pypar
#import pypar
#me = pypar.rank()
#nprocs = pypar.size()
from lammps import lammps
lmp = lammps()
@ -163,7 +156,3 @@ while 1:
time.sleep(0.01)
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -9,9 +9,6 @@
# compute-ID = ID of compute that calculates temperature
# (or any other scalar quantity)
# IMPORTANT: this script cannot yet be run in parallel via Pypar,
# because I can't seem to do a MPI-style broadcast in Pypar
from __future__ import print_function
import sys,time
sys.path.append("./pizza")
@ -55,10 +52,6 @@ nfreq = int(sys.argv[2])
compute = sys.argv[3]
me = 0
# uncomment if running in parallel via Pypar
#import pypar
#me = pypar.rank()
#nprocs = pypar.size()
from lammps import lammps
lmp = lammps()
@ -176,7 +169,3 @@ while 1:
time.sleep(0.01)
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -9,9 +9,6 @@
# compute-ID = ID of compute that calculates temperature
# (or any other scalar quantity)
# IMPORTANT: this script cannot yet be run in parallel via Pypar,
# because I can't seem to do a MPI-style broadcast in Pypar
from __future__ import print_function
import sys,time
sys.path.append("./pizza")
@ -57,10 +54,6 @@ nfreq = int(sys.argv[2])
compute = sys.argv[3]
me = 0
# uncomment if running in parallel via Pypar
#import pypar
#me = pypar.rank()
#nprocs = pypar.size()
from lammps import lammps
lmp = lammps()
@ -172,7 +165,3 @@ while 1:
time.sleep(0.01)
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()

View File

@ -9,9 +9,6 @@
# compute-ID = ID of compute that calculates temperature
# (or any other scalar quantity)
# IMPORTANT: this script cannot yet be run in parallel via Pypar,
# because I can't seem to do a MPI-style broadcast in Pypar
from __future__ import print_function
import sys,time
sys.path.append("./pizza")
@ -56,10 +53,6 @@ nfreq = int(sys.argv[2])
compute = sys.argv[3]
me = 0
# uncomment if running in parallel via Pypar
#import pypar
#me = pypar.rank()
#nprocs = pypar.size()
from lammps import lammps
lmp = lammps()
@ -171,7 +164,3 @@ while 1:
time.sleep(0.01)
lmp.command("run 0 pre no post yes")
# uncomment if running in parallel via Pypar
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
#pypar.finalize()