git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15358 f3b2605a-c512-4ea7-a41b-209d697bcdaa
This commit is contained in:
sjplimp
@ -6,13 +6,14 @@
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# Syntax: demo.py
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# uses in.demo as LAMMPS input script
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from __future__ import print_function
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import sys
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# parse command line
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argv = sys.argv
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if len(argv) != 1:
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print "Syntax: demo.py"
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print("Syntax: demo.py")
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sys.exit()
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from lammps import lammps
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@ -22,29 +23,32 @@ lmp = lammps()
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lmp.file("in.demo")
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print "\nPython output:"
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print("\nPython output:")
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natoms = lmp.extract_global("natoms",0)
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mass = lmp.extract_atom("mass",2)
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x = lmp.extract_atom("x",3)
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print "Natoms, mass, x[0][0] coord =",natoms,mass[1],x[0][0]
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print("Natoms, mass, x[0][0] coord =",natoms,mass[1],x[0][0])
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temp = lmp.extract_compute("thermo_temp",0,0)
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print "Temperature from compute =",temp
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print("Temperature from compute =",temp)
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eng = lmp.extract_variable("eng",None,0)
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print "Energy from equal-style variable =",eng
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print("Energy from equal-style variable =",eng)
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vy = lmp.extract_variable("vy","all",1)
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print "Velocity component from atom-style variable =",vy[1]
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print("Velocity component from atom-style variable =",vy[1])
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vol = lmp.get_thermo("vol")
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print("Volume from get_thermo = ",vol)
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natoms = lmp.get_natoms()
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print "Natoms from get_natoms =",natoms
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print("Natoms from get_natoms =",natoms)
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xc = lmp.gather_atoms("x",1,3)
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print "Global coords from gather_atoms =",xc[0],xc[1],xc[31]
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print("Global coords from gather_atoms =",xc[0],xc[1],xc[31])
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xc[0] = xc[0] + 1.0
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lmp.scatter_atoms("x",1,3,xc)
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print "Changed x[0][0] via scatter_atoms =",x[0][0]
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print("Changed x[0][0] via scatter_atoms =",x[0][0])
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@ -10,6 +10,7 @@
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# IMPORTANT: this script cannot yet be run in parallel via Pypar,
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# because I can't seem to do a MPI-style broadcast in Pypar
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from __future__ import print_function
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import sys,time
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# methods called by GUI
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@ -31,7 +32,7 @@ def quit():
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argv = sys.argv
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if len(argv) != 3:
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print "Syntax: gui.py in.lammps Nfreq"
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print("Syntax: gui.py in.lammps Nfreq")
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sys.exit()
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infile = sys.argv[1]
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@ -60,7 +61,10 @@ runflag = 0
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temptarget = 1.0
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if me == 0:
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from Tkinter import *
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try:
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from Tkinter import *
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except:
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from tkinter import *
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tkroot = Tk()
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tkroot.withdraw()
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root = Toplevel(tkroot)
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@ -108,5 +112,5 @@ while 1:
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time.sleep(0.01)
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# uncomment if running in parallel via Pypar
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#print "Proc %d out of %d procs has" % (me,nprocs), lmp
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#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
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#pypar.finalize()
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@ -6,6 +6,7 @@
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# Syntax: mc.py in.mc
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# in.mc = LAMMPS input script
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from __future__ import print_function
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import sys,random,math
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# set these parameters
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@ -21,7 +22,7 @@ random.seed(27848)
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argv = sys.argv
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if len(argv) != 2:
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print "Syntax: mc.py in.mc"
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print("Syntax: mc.py in.mc")
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sys.exit()
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infile = sys.argv[1]
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@ -50,7 +51,7 @@ lmp.command("variable emin equal $e")
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x = lmp.extract_atom("x",3)
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for i in xrange(natoms):
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for i in range(natoms):
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x[i][0] += deltaperturb * (2*random.random()-1)
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x[i][1] += deltaperturb * (2*random.random()-1)
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@ -68,7 +69,7 @@ estart = lmp.extract_compute("thermo_pe",0,0) / natoms
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elast = estart
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naccept = 0
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for i in xrange(nloop):
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for i in range(nloop):
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iatom = random.randrange(0,natoms)
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x0 = x[iatom][0]
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y0 = x[iatom][1]
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@ -100,9 +101,9 @@ nbuild = lmp.extract_variable("nbuild",None,0)
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lmp.command("run 0")
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estop = lmp.extract_compute("thermo_pe",0,0) / natoms
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print "MC stats:"
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print " starting energy =",estart
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print " final energy =",estop
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print " minimum energy of perfect lattice =",emin
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print " accepted MC moves =",naccept
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print " neighbor list rebuilds =",nbuild
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print("MC stats:")
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print(" starting energy =",estart)
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print(" final energy =",estop)
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print(" minimum energy of perfect lattice =",emin)
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print(" accepted MC moves =",naccept)
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print(" neighbor list rebuilds =",nbuild)
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@ -6,6 +6,10 @@
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# certain rights in this software. This software is distributed under
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# the GNU General Public License.
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# for python3 compatibility
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from __future__ import print_function
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# dump tool
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oneline = "Read, write, manipulate dump files and particle attributes"
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@ -179,7 +183,7 @@ d.extra(data) extract bond/tri/line list from data
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# Imports and external programs
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import sys, commands, re, glob, types
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import sys, re, glob, types
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from os import popen
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from math import * # any function could be used by set()
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@ -220,7 +224,7 @@ class dump:
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self.flist = []
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for word in words: self.flist += glob.glob(word)
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if len(self.flist) == 0 and len(list) == 1:
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raise StandardError,"no dump file specified"
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raise StandardError("no dump file specified")
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if len(list) == 1:
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self.increment = 0
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@ -245,19 +249,19 @@ class dump:
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snap = self.read_snapshot(f)
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while snap:
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self.snaps.append(snap)
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print snap.time,
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print(snap.time,end='')
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sys.stdout.flush()
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snap = self.read_snapshot(f)
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f.close()
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print
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print()
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# sort entries by timestep, cull duplicates
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self.snaps.sort(self.compare_time)
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self.cull()
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self.nsnaps = len(self.snaps)
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print "read %d snapshots" % self.nsnaps
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print("read %d snapshots" % self.nsnaps)
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# select all timesteps and atoms
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@ -266,36 +270,36 @@ class dump:
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# set default names for atom columns if file wasn't self-describing
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if len(self.snaps) == 0:
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print "no column assignments made"
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print("no column assignments made")
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elif len(self.names):
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print "assigned columns:",self.names2str()
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print("assigned columns:",self.names2str())
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elif self.snaps[0].atoms == None:
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print "no column assignments made"
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print("no column assignments made")
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elif len(self.snaps[0].atoms[0]) == 5:
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self.map(1,"id",2,"type",3,"x",4,"y",5,"z")
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print "assigned columns:",self.names2str()
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print("assigned columns:",self.names2str())
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elif len(self.snaps[0].atoms[0]) == 8:
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self.map(1,"id",2,"type",3,"x",4,"y",5,"z",6,"ix",7,"iy",8,"iz")
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print "assigned columns:",self.names2str()
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print("assigned columns:",self.names2str())
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else:
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print "no column assignments made"
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print("no column assignments made")
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# if snapshots are scaled, unscale them
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if (not self.names.has_key("x")) or \
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(not self.names.has_key("y")) or \
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(not self.names.has_key("z")):
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print "no unscaling could be performed"
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print("no unscaling could be performed")
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elif self.nsnaps > 0:
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if self.scaled(self.nsnaps-1): self.unscale()
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else: print "dump is already unscaled"
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else: print("dump is already unscaled")
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# --------------------------------------------------------------------
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# read next snapshot from list of files
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def next(self):
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if not self.increment: raise StandardError,"cannot read incrementally"
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if not self.increment: raise StandardError("cannot read incrementally")
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# read next snapshot in current file using eof as pointer
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# if fail, try next file
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@ -307,15 +311,15 @@ class dump:
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snap = self.read_snapshot(f)
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if not snap:
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self.nextfile += 1
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if self.nextfile == len(self.flist): return -1
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if self.nextfile == len(self.flist): return -1
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f.close()
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self.eof = 0
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continue
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self.eof = 0
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continue
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self.eof = f.tell()
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f.close()
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try:
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self.findtime(snap.time)
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continue
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continue
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except: break
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# select the new snapshot with all its atoms
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@ -324,7 +328,7 @@ class dump:
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snap = self.snaps[self.nsnaps]
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snap.tselect = 1
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snap.nselect = snap.natoms
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for i in xrange(snap.natoms): snap.aselect[i] = 1
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for i in range(snap.natoms): snap.aselect[i] = 1
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self.nsnaps += 1
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self.nselect += 1
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@ -370,14 +374,14 @@ class dump:
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if snap.natoms:
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words = f.readline().split()
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ncol = len(words)
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for i in xrange(1,snap.natoms):
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for i in range(1,snap.natoms):
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words += f.readline().split()
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floats = map(float,words)
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if oldnumeric: atoms = np.zeros((snap.natoms,ncol),np.Float)
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else: atoms = np.zeros((snap.natoms,ncol),np.float)
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start = 0
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stop = ncol
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for i in xrange(snap.natoms):
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for i in range(snap.natoms):
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atoms[i] = floats[start:stop]
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start = stop
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stop += ncol
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@ -413,7 +417,7 @@ class dump:
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def map(self,*pairs):
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if len(pairs) % 2 != 0:
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raise StandardError, "dump map() requires pairs of mappings"
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raise StandardError("dump map() requires pairs of mappings")
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for i in range(0,len(pairs),2):
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j = i + 1
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self.names[pairs[j]] = pairs[i]-1
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@ -430,15 +434,15 @@ class dump:
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self.nsnaps -= 1
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ndel += 1
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else: i += 1
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print "%d snapshots deleted" % ndel
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print "%d snapshots remaining" % self.nsnaps
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print("%d snapshots deleted" % ndel)
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print("%d snapshots remaining" % self.nsnaps)
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# --------------------------------------------------------------------
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# scale coords to 0-1 for all snapshots or just one
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def scale(self,*list):
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if len(list) == 0:
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print "Scaling dump ..."
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print("Scaling dump ...")
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x = self.names["x"]
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y = self.names["y"]
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z = self.names["z"]
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@ -466,7 +470,7 @@ class dump:
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def unscale(self,*list):
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if len(list) == 0:
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print "Unscaling dump ..."
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print("Unscaling dump ...")
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x = self.names["x"]
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y = self.names["y"]
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z = self.names["z"]
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@ -493,7 +497,7 @@ class dump:
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# wrap coords from outside box to inside
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def wrap(self):
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print "Wrapping dump ..."
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print("Wrapping dump ...")
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x = self.names["x"]
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y = self.names["y"]
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@ -515,7 +519,7 @@ class dump:
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# unwrap coords from inside box to outside
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def unwrap(self):
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print "Unwrapping dump ..."
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print("Unwrapping dump ...")
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x = self.names["x"]
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y = self.names["y"]
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@ -537,7 +541,7 @@ class dump:
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# wrap coords to same image as atom ID stored in "other" column
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def owrap(self,other):
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print "Wrapping to other ..."
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print("Wrapping to other ...")
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id = self.names["id"]
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x = self.names["x"]
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@ -554,9 +558,9 @@ class dump:
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zprd = snap.zhi - snap.zlo
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atoms = snap.atoms
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ids = {}
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for i in xrange(snap.natoms):
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for i in range(snap.natoms):
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ids[atoms[i][id]] = i
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for i in xrange(snap.natoms):
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for i in range(snap.natoms):
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j = ids[atoms[i][iother]]
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atoms[i][x] += (atoms[i][ix]-atoms[j][ix])*xprd
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atoms[i][y] += (atoms[i][iy]-atoms[j][iy])*yprd
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@ -570,7 +574,7 @@ class dump:
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pairs = self.names.items()
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values = self.names.values()
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str = ""
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for i in xrange(ncol):
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for i in range(ncol):
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if i in values: str += pairs[values.index(i)][0] + ' '
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return str
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@ -581,12 +585,12 @@ class dump:
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def sort(self,*list):
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if len(list) == 0:
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print "Sorting selected snapshots ..."
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print("Sorting selected snapshots ...")
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id = self.names["id"]
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for snap in self.snaps:
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if snap.tselect: self.sort_one(snap,id)
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elif type(list[0]) is types.StringType:
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print "Sorting selected snapshots by %s ..." % list[0]
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print("Sorting selected snapshots by %s ..." % list[0])
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id = self.names[list[0]]
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for snap in self.snaps:
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if snap.tselect: self.sort_one(snap,id)
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@ -602,7 +606,7 @@ class dump:
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atoms = snap.atoms
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ids = atoms[:,id]
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ordering = np.argsort(ids)
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for i in xrange(len(atoms[0])):
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for i in range(len(atoms[0])):
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atoms[:,i] = np.take(atoms[:,i],ordering)
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# --------------------------------------------------------------------
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@ -614,33 +618,33 @@ class dump:
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else: f = open(file,"a")
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for snap in self.snaps:
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if not snap.tselect: continue
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print snap.time,
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print(snap.time,end='')
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sys.stdout.flush()
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|
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if header:
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print >>f,"ITEM: TIMESTEP"
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print >>f,snap.time
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print >>f,"ITEM: NUMBER OF ATOMS"
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print >>f,snap.nselect
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print >>f,"ITEM: BOX BOUNDS"
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print >>f,snap.xlo,snap.xhi
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print >>f,snap.ylo,snap.yhi
|
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print >>f,snap.zlo,snap.zhi
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print >>f,"ITEM: ATOMS",namestr
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print("ITEM: TIMESTEP",file=f)
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print(snap.time,file=f)
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print("ITEM: NUMBER OF ATOMS",file=f)
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print(snap.nselect,file=f)
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print("ITEM: BOX BOUNDS",file=f)
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print(snap.xlo,snap.xhi,file=f)
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print(snap.ylo,snap.yhi,file=f)
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print(snap.zlo,snap.zhi,file=f)
|
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print("ITEM: ATOMS",namestr,file=f)
|
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|
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atoms = snap.atoms
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nvalues = len(atoms[0])
|
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for i in xrange(snap.natoms):
|
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for i in range(snap.natoms):
|
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if not snap.aselect[i]: continue
|
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line = ""
|
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for j in xrange(nvalues):
|
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for j in range(nvalues):
|
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if (j < 2):
|
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line += str(int(atoms[i][j])) + " "
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else:
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line += str(atoms[i][j]) + " "
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print >>f,line
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print(line,file=f)
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f.close()
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print "\n%d snapshots" % self.nselect
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print("\n%d snapshots" % self.nselect)
|
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|
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# --------------------------------------------------------------------
|
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# write one dump file per snapshot from current selection
|
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@ -649,34 +653,34 @@ class dump:
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if len(self.snaps): namestr = self.names2str()
|
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for snap in self.snaps:
|
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if not snap.tselect: continue
|
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print snap.time,
|
||||
print(snap.time,end='')
|
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sys.stdout.flush()
|
||||
|
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file = root + "." + str(snap.time)
|
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f = open(file,"w")
|
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print >>f,"ITEM: TIMESTEP"
|
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print >>f,snap.time
|
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print >>f,"ITEM: NUMBER OF ATOMS"
|
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print >>f,snap.nselect
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print >>f,"ITEM: BOX BOUNDS"
|
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print >>f,snap.xlo,snap.xhi
|
||||
print >>f,snap.ylo,snap.yhi
|
||||
print >>f,snap.zlo,snap.zhi
|
||||
print >>f,"ITEM: ATOMS",namestr
|
||||
print("ITEM: TIMESTEP",file=f)
|
||||
print(snap.time,file=f)
|
||||
print("ITEM: NUMBER OF ATOMS",file=f)
|
||||
print(snap.nselect,file=f)
|
||||
print("ITEM: BOX BOUNDS",file=f)
|
||||
print(snap.xlo,snap.xhi,file=f)
|
||||
print(snap.ylo,snap.yhi,file=f)
|
||||
print(snap.zlo,snap.zhi,file=f)
|
||||
print("ITEM: ATOMS",namestr,file=f)
|
||||
|
||||
atoms = snap.atoms
|
||||
nvalues = len(atoms[0])
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
line = ""
|
||||
for j in xrange(nvalues):
|
||||
for j in range(nvalues):
|
||||
if (j < 2):
|
||||
line += str(int(atoms[i][j])) + " "
|
||||
else:
|
||||
line += str(atoms[i][j]) + " "
|
||||
print >>f,line
|
||||
print(line,file=f)
|
||||
f.close()
|
||||
print "\n%d snapshots" % self.nselect
|
||||
print("\n%d snapshots" % self.nselect)
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# find min/max across all selected snapshots/atoms for a particular column
|
||||
@ -688,7 +692,7 @@ class dump:
|
||||
for snap in self.snaps:
|
||||
if not snap.tselect: continue
|
||||
atoms = snap.atoms
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
if atoms[i][icol] < min: min = atoms[i][icol]
|
||||
if atoms[i][icol] > max: max = atoms[i][icol]
|
||||
@ -698,7 +702,7 @@ class dump:
|
||||
# set a column value via an equation for all selected snapshots
|
||||
|
||||
def set(self,eq):
|
||||
print "Setting ..."
|
||||
print("Setting ...")
|
||||
pattern = "\$\w*"
|
||||
list = re.findall(pattern,eq)
|
||||
|
||||
@ -715,14 +719,14 @@ class dump:
|
||||
|
||||
for snap in self.snaps:
|
||||
if not snap.tselect: continue
|
||||
for i in xrange(snap.natoms):
|
||||
if snap.aselect[i]: exec ceq
|
||||
for i in range(snap.natoms):
|
||||
if snap.aselect[i]: exec(ceq)
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# set a column value via an input vec for all selected snapshots/atoms
|
||||
|
||||
def setv(self,colname,vec):
|
||||
print "Setting ..."
|
||||
print("Setting ...")
|
||||
if not self.names.has_key(colname):
|
||||
self.newcolumn(colname)
|
||||
icol = self.names[colname]
|
||||
@ -730,10 +734,10 @@ class dump:
|
||||
for snap in self.snaps:
|
||||
if not snap.tselect: continue
|
||||
if snap.nselect != len(vec):
|
||||
raise StandardError,"vec length does not match # of selected atoms"
|
||||
raise StandardError("vec length does not match # of selected atoms")
|
||||
atoms = snap.atoms
|
||||
m = 0
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if snap.aselect[i]:
|
||||
atoms[i][icol] = vec[m]
|
||||
m += 1
|
||||
@ -746,12 +750,12 @@ class dump:
|
||||
icol = self.names[col]
|
||||
id = self.names["id"]
|
||||
ids = {}
|
||||
for i in xrange(self.snaps[istep].natoms):
|
||||
for i in range(self.snaps[istep].natoms):
|
||||
ids[self.snaps[istep].atoms[i][id]] = i
|
||||
for snap in self.snaps:
|
||||
if not snap.tselect: continue
|
||||
atoms = snap.atoms
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
j = ids[atoms[i][id]]
|
||||
atoms[i][icol] = self.snaps[istep].atoms[j][icol]
|
||||
@ -765,14 +769,14 @@ class dump:
|
||||
inew = self.names[new]
|
||||
|
||||
min,max = self.minmax(old)
|
||||
print "min/max = ",min,max
|
||||
print("min/max = ",min,max)
|
||||
|
||||
gap = max - min
|
||||
invdelta = n/gap
|
||||
for snap in self.snaps:
|
||||
if not snap.tselect: continue
|
||||
atoms = snap.atoms
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
ivalue = int((atoms[i][iold] - min) * invdelta) + 1
|
||||
if ivalue > n: ivalue = n
|
||||
@ -796,7 +800,7 @@ class dump:
|
||||
|
||||
def atom(self,n,*list):
|
||||
if len(list) == 0:
|
||||
raise StandardError, "no columns specified"
|
||||
raise StandardError("no columns specified")
|
||||
columns = []
|
||||
values = []
|
||||
for name in list:
|
||||
@ -809,11 +813,11 @@ class dump:
|
||||
for snap in self.snaps:
|
||||
if not snap.tselect: continue
|
||||
atoms = snap.atoms
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if atoms[i][id] == n: break
|
||||
if atoms[i][id] != n:
|
||||
raise StandardError, "could not find atom ID in snapshot"
|
||||
for j in xrange(ncol):
|
||||
raise StandardError("could not find atom ID in snapshot")
|
||||
for j in range(ncol):
|
||||
values[j][m] = atoms[i][columns[j]]
|
||||
m += 1
|
||||
|
||||
@ -827,7 +831,7 @@ class dump:
|
||||
snap = self.snaps[self.findtime(n)]
|
||||
|
||||
if len(list) == 0:
|
||||
raise StandardError, "no columns specified"
|
||||
raise StandardError("no columns specified")
|
||||
columns = []
|
||||
values = []
|
||||
for name in list:
|
||||
@ -836,9 +840,9 @@ class dump:
|
||||
ncol = len(columns)
|
||||
|
||||
m = 0
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
for j in xrange(ncol):
|
||||
for j in range(ncol):
|
||||
values[j][m] = snap.atoms[i][columns[j]]
|
||||
m += 1
|
||||
|
||||
@ -887,7 +891,7 @@ class dump:
|
||||
def iterator(self,flag):
|
||||
start = 0
|
||||
if flag: start = self.iterate + 1
|
||||
for i in xrange(start,self.nsnaps):
|
||||
for i in range(start,self.nsnaps):
|
||||
if self.snaps[i].tselect:
|
||||
self.iterate = i
|
||||
return i,self.snaps[i].time,1
|
||||
@ -912,7 +916,7 @@ class dump:
|
||||
# need Numeric/Numpy mode here
|
||||
|
||||
atoms = []
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
atom = snap.atoms[i]
|
||||
atoms.append([atom[id],atom[type],atom[x],atom[y],atom[z]])
|
||||
@ -927,7 +931,7 @@ class dump:
|
||||
bonds = []
|
||||
if self.bondflag:
|
||||
alist = {}
|
||||
for i in xrange(len(atoms)): alist[int(atoms[i][0])] = i
|
||||
for i in range(len(atoms)): alist[int(atoms[i][0])] = i
|
||||
for bond in self.bondlist:
|
||||
try:
|
||||
i = alist[bond[2]]
|
||||
@ -953,9 +957,9 @@ class dump:
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
def findtime(self,n):
|
||||
for i in xrange(self.nsnaps):
|
||||
for i in range(self.nsnaps):
|
||||
if self.snaps[i].time == n: return i
|
||||
raise StandardError, "no step %d exists" % n
|
||||
raise StandardError("no step %d exists" % n)
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# return maximum box size across all selected snapshots
|
||||
@ -982,7 +986,7 @@ class dump:
|
||||
for snap in self.snaps:
|
||||
if not snap.tselect: continue
|
||||
atoms = snap.atoms
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
if atoms[i][icol] > max: max = atoms[i][icol]
|
||||
return int(max)
|
||||
@ -1004,11 +1008,11 @@ class dump:
|
||||
nbonds = int(f.readline())
|
||||
item = f.readline()
|
||||
if not re.search("BONDS",item):
|
||||
raise StandardError, "could not read bonds from dump file"
|
||||
raise StandardError("could not read bonds from dump file")
|
||||
|
||||
words = f.readline().split()
|
||||
ncol = len(words)
|
||||
for i in xrange(1,nbonds):
|
||||
for i in range(1,nbonds):
|
||||
words += f.readline().split()
|
||||
f.close()
|
||||
|
||||
@ -1019,7 +1023,7 @@ class dump:
|
||||
ints = [abs(int(value)) for value in words]
|
||||
start = 0
|
||||
stop = 4
|
||||
for i in xrange(nbonds):
|
||||
for i in range(nbonds):
|
||||
bondlist[i] = ints[start:stop]
|
||||
start += ncol
|
||||
stop += ncol
|
||||
@ -1027,7 +1031,7 @@ class dump:
|
||||
self.bondflag = 1
|
||||
self.bondlist = bondlist
|
||||
except:
|
||||
raise StandardError,"could not read from bond dump file"
|
||||
raise StandardError("could not read from bond dump file")
|
||||
|
||||
# request bonds from data object
|
||||
|
||||
@ -1043,7 +1047,7 @@ class dump:
|
||||
self.bondflag = 1
|
||||
self.bondlist = bondlist
|
||||
except:
|
||||
raise StandardError,"could not extract bonds from data object"
|
||||
raise StandardError("could not extract bonds from data object")
|
||||
|
||||
# request tris/lines from cdata object
|
||||
|
||||
@ -1057,7 +1061,7 @@ class dump:
|
||||
self.lineflag = 1
|
||||
self.linelist = lines
|
||||
except:
|
||||
raise StandardError,"could not extract tris/lines from cdata object"
|
||||
raise StandardError("could not extract tris/lines from cdata object")
|
||||
|
||||
# request tris from mdump object
|
||||
|
||||
@ -1066,10 +1070,10 @@ class dump:
|
||||
self.triflag = 2
|
||||
self.triobj = arg
|
||||
except:
|
||||
raise StandardError,"could not extract tris from mdump object"
|
||||
raise StandardError("could not extract tris from mdump object")
|
||||
|
||||
else:
|
||||
raise StandardError,"unrecognized argument to dump.extra()"
|
||||
raise StandardError("unrecognized argument to dump.extra()")
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
@ -1103,7 +1107,7 @@ class tselect:
|
||||
snap.tselect = 1
|
||||
data.nselect = len(data.snaps)
|
||||
data.aselect.all()
|
||||
print "%d snapshots selected out of %d" % (data.nselect,data.nsnaps)
|
||||
print("%d snapshots selected out of %d" % (data.nselect,data.nsnaps))
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
@ -1115,7 +1119,7 @@ class tselect:
|
||||
data.snaps[i].tselect = 1
|
||||
data.nselect = 1
|
||||
data.aselect.all()
|
||||
print "%d snapshots selected out of %d" % (data.nselect,data.nsnaps)
|
||||
print("%d snapshots selected out of %d" % (data.nselect,data.nsnaps))
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
@ -1124,7 +1128,7 @@ class tselect:
|
||||
for snap in data.snaps:
|
||||
snap.tselect = 0
|
||||
data.nselect = 0
|
||||
print "%d snapshots selected out of %d" % (data.nselect,data.nsnaps)
|
||||
print("%d snapshots selected out of %d" % (data.nselect,data.nsnaps))
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
@ -1140,7 +1144,7 @@ class tselect:
|
||||
snap.tselect = 0
|
||||
data.nselect -= 1
|
||||
data.aselect.all()
|
||||
print "%d snapshots selected out of %d" % (data.nselect,data.nsnaps)
|
||||
print("%d snapshots selected out of %d" % (data.nselect,data.nsnaps))
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
@ -1149,14 +1153,14 @@ class tselect:
|
||||
snaps = data.snaps
|
||||
cmd = "flag = " + teststr.replace("$t","snaps[i].time")
|
||||
ccmd = compile(cmd,'','single')
|
||||
for i in xrange(data.nsnaps):
|
||||
for i in range(data.nsnaps):
|
||||
if not snaps[i].tselect: continue
|
||||
exec ccmd
|
||||
exec(ccmd)
|
||||
if not flag:
|
||||
snaps[i].tselect = 0
|
||||
data.nselect -= 1
|
||||
data.aselect.all()
|
||||
print "%d snapshots selected out of %d" % (data.nselect,data.nsnaps)
|
||||
print("%d snapshots selected out of %d" % (data.nselect,data.nsnaps))
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# atom selection class
|
||||
@ -1173,12 +1177,12 @@ class aselect:
|
||||
if len(args) == 0: # all selected timesteps
|
||||
for snap in data.snaps:
|
||||
if not snap.tselect: continue
|
||||
for i in xrange(snap.natoms): snap.aselect[i] = 1
|
||||
for i in range(snap.natoms): snap.aselect[i] = 1
|
||||
snap.nselect = snap.natoms
|
||||
else: # one timestep
|
||||
n = data.findtime(args[0])
|
||||
snap = data.snaps[n]
|
||||
for i in xrange(snap.natoms): snap.aselect[i] = 1
|
||||
for i in range(snap.natoms): snap.aselect[i] = 1
|
||||
snap.nselect = snap.natoms
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
@ -1201,29 +1205,29 @@ class aselect:
|
||||
if len(args) == 0: # all selected timesteps
|
||||
for snap in data.snaps:
|
||||
if not snap.tselect: continue
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
exec ccmd
|
||||
exec(ccmd)
|
||||
if not flag:
|
||||
snap.aselect[i] = 0
|
||||
snap.nselect -= 1
|
||||
for i in xrange(data.nsnaps):
|
||||
for i in range(data.nsnaps):
|
||||
if data.snaps[i].tselect:
|
||||
print "%d atoms of %d selected in first step %d" % \
|
||||
(data.snaps[i].nselect,data.snaps[i].natoms,data.snaps[i].time)
|
||||
print("%d atoms of %d selected in first step %d" % \
|
||||
(data.snaps[i].nselect,data.snaps[i].natoms,data.snaps[i].time))
|
||||
break
|
||||
for i in xrange(data.nsnaps-1,-1,-1):
|
||||
for i in range(data.nsnaps-1,-1,-1):
|
||||
if data.snaps[i].tselect:
|
||||
print "%d atoms of %d selected in last step %d" % \
|
||||
(data.snaps[i].nselect,data.snaps[i].natoms,data.snaps[i].time)
|
||||
print("%d atoms of %d selected in last step %d" % \
|
||||
(data.snaps[i].nselect,data.snaps[i].natoms,data.snaps[i].time))
|
||||
break
|
||||
|
||||
else: # one timestep
|
||||
n = data.findtime(args[0])
|
||||
snap = data.snaps[n]
|
||||
for i in xrange(snap.natoms):
|
||||
for i in range(snap.natoms):
|
||||
if not snap.aselect[i]: continue
|
||||
exec ccmd
|
||||
exec(ccmd)
|
||||
if not flag:
|
||||
snap.aselect[i] = 0
|
||||
snap.nselect -= 1
|
||||
|
||||
@ -6,6 +6,9 @@
|
||||
# certain rights in this software. This software is distributed under
|
||||
# the GNU General Public License.
|
||||
|
||||
# for python3 compatibility
|
||||
from __future__ import print_function
|
||||
|
||||
# gl tool
|
||||
|
||||
oneline = "3d interactive visualization via OpenGL"
|
||||
@ -73,7 +76,7 @@ g.ldef() default = 0 fill
|
||||
if atom/bond/tri/line has type > # defined properties, is an error
|
||||
|
||||
from vizinfo import colors access color list
|
||||
print colors list defined color names and RGB values
|
||||
print(colors) list defined color names and RGB values
|
||||
colors["nickname"] = [R,G,B] set new RGB values from 0 to 255
|
||||
|
||||
140 pre-defined colors: red, green, blue, purple, yellow, black, white, etc
|
||||
@ -499,7 +502,7 @@ class gl:
|
||||
# add GL-specific info to each bond
|
||||
|
||||
def reload(self):
|
||||
print "Loading data into gl tool ..."
|
||||
print("Loading data into gl tool ...")
|
||||
data = self.data
|
||||
|
||||
self.timeframes = []
|
||||
@ -527,9 +530,9 @@ class gl:
|
||||
self.triframes.append(tris)
|
||||
self.lineframes.append(lines)
|
||||
|
||||
print time,
|
||||
print(time,end='')
|
||||
sys.stdout.flush()
|
||||
print
|
||||
print()
|
||||
|
||||
self.nframes = len(self.timeframes)
|
||||
self.distance = compute_distance(self.boxframes[0])
|
||||
@ -651,7 +654,7 @@ class gl:
|
||||
self.w.tkRedraw()
|
||||
self.save(file)
|
||||
|
||||
print time,
|
||||
print(time,end='')
|
||||
sys.stdout.flush()
|
||||
i += 1
|
||||
n += 1
|
||||
@ -690,7 +693,7 @@ class gl:
|
||||
fraction*(self.scale_stop - self.scale_start)
|
||||
self.viewupright()
|
||||
|
||||
if n == nstart or self.panflag: self.center = compute_center(box)
|
||||
if n == nstart or self.panflag: self.center = compute_center(box)
|
||||
|
||||
if bonds: self.bonds_augment(bonds)
|
||||
|
||||
@ -706,11 +709,11 @@ class gl:
|
||||
self.w.tkRedraw()
|
||||
self.save(file)
|
||||
|
||||
print n,
|
||||
print(n,end='')
|
||||
sys.stdout.flush()
|
||||
n += 1
|
||||
|
||||
print "\n%d images" % ncount
|
||||
print("\n%d images" % ncount)
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
@ -776,11 +779,11 @@ class gl:
|
||||
ncolor = self.vizinfo.nlcolor
|
||||
for line in self.linedraw:
|
||||
itype = int(line[1])
|
||||
if itype > ncolor: raise StandardError,"line type too big"
|
||||
if itype > ncolor: raise StandardError("line type too big")
|
||||
red,green,blue = self.vizinfo.lcolor[itype]
|
||||
glColor3f(red,green,blue)
|
||||
thick = self.vizinfo.lrad[itype]
|
||||
glLineWidth(thick)
|
||||
glLineWidth(thick)
|
||||
glBegin(GL_LINES)
|
||||
glVertex3f(line[2],line[3],line[4])
|
||||
glVertex3f(line[5],line[6],line[7])
|
||||
@ -825,7 +828,7 @@ class gl:
|
||||
for bond in self.bonddraw:
|
||||
if bond[10] > bound: continue
|
||||
itype = int(bond[1])
|
||||
if itype > ncolor: raise StandardError,"bond type too big"
|
||||
if itype > ncolor: raise StandardError("bond type too big")
|
||||
red,green,blue = self.vizinfo.bcolor[itype]
|
||||
rad = self.vizinfo.brad[itype]
|
||||
glPushMatrix()
|
||||
@ -848,7 +851,7 @@ class gl:
|
||||
ncolor = self.vizinfo.ntcolor
|
||||
for tri in self.tridraw:
|
||||
itype = int(tri[1])
|
||||
if itype > ncolor: raise StandardError,"tri type too big"
|
||||
if itype > ncolor: raise StandardError("tri type too big")
|
||||
red,green,blue = self.vizinfo.tcolor[itype]
|
||||
glMaterialfv(GL_FRONT_AND_BACK,GL_EMISSION,[red,green,blue,1.0]);
|
||||
glMaterialf(GL_FRONT_AND_BACK,GL_SHININESS,self.shiny);
|
||||
@ -906,7 +909,7 @@ class gl:
|
||||
ymin >= ylo and ymax <= yhi and zmin >= zlo and zmax <= zhi:
|
||||
if bond[10] > bound: continue
|
||||
itype = int(bond[1])
|
||||
if itype > ncolor: raise StandardError,"bond type too big"
|
||||
if itype > ncolor: raise StandardError("bond type too big")
|
||||
red,green,blue = self.vizinfo.bcolor[itype]
|
||||
rad = self.vizinfo.brad[itype]
|
||||
glPushMatrix()
|
||||
@ -938,7 +941,7 @@ class gl:
|
||||
ymin >= ylo and ymax <= yhi and \
|
||||
zmin >= zlo and zmax <= zhi:
|
||||
itype = int(tri[1])
|
||||
if itype > ncolor: raise StandardError,"tri type too big"
|
||||
if itype > ncolor: raise StandardError("tri type too big")
|
||||
red,green,blue = self.vizinfo.tcolor[itype]
|
||||
glMaterialfv(GL_FRONT_AND_BACK,GL_EMISSION,
|
||||
[red,green,blue,1.0]);
|
||||
|
||||
@ -6,6 +6,9 @@
|
||||
# certain rights in this software. This software is distributed under
|
||||
# the GNU General Public License.
|
||||
|
||||
# for python3 compatibility
|
||||
from __future__ import print_function
|
||||
|
||||
# gnu tool
|
||||
|
||||
oneline = "Create plots via GnuPlot plotting program"
|
||||
@ -87,7 +90,7 @@ g.curve(N,'r') set color of curve N
|
||||
import types, os
|
||||
|
||||
try: from DEFAULTS import PIZZA_GNUPLOT
|
||||
except: PIZZA_GNUPLOT = "gnuplot"
|
||||
except: PIZZA_GNUPLOT = "gnuplot -p"
|
||||
try: from DEFAULTS import PIZZA_GNUTERM
|
||||
except: PIZZA_GNUTERM = "x11"
|
||||
|
||||
@ -133,7 +136,7 @@ class gnu:
|
||||
self.export(file,linear,vectors[0])
|
||||
self.figures[self.current-1].ncurves = 1
|
||||
else:
|
||||
if len(vectors) % 2: raise StandardError,"vectors must come in pairs"
|
||||
if len(vectors) % 2: raise StandardError("vectors must come in pairs")
|
||||
for i in range(0,len(vectors),2):
|
||||
file = self.file + ".%d.%d" % (self.current,i/2+1)
|
||||
self.export(file,vectors[i],vectors[i+1])
|
||||
@ -167,13 +170,13 @@ class gnu:
|
||||
def export(self,filename,*vectors):
|
||||
n = len(vectors[0])
|
||||
for vector in vectors:
|
||||
if len(vector) != n: raise StandardError,"vectors must be same length"
|
||||
if len(vector) != n: raise StandardError("vectors must be same length")
|
||||
f = open(filename,'w')
|
||||
nvec = len(vectors)
|
||||
for i in xrange(n):
|
||||
for j in xrange(nvec):
|
||||
print >>f,vectors[j][i],
|
||||
print >>f
|
||||
for i in range(n):
|
||||
for j in range(nvec):
|
||||
print(str(vectors[j][i])+" ",file=f,end='')
|
||||
print ("",file=f)
|
||||
f.close()
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
@ -350,7 +353,7 @@ class gnu:
|
||||
|
||||
self.__call__("set key off")
|
||||
cmd = 'plot '
|
||||
for i in range(fig.ncurves):
|
||||
for i in range(int(fig.ncurves)):
|
||||
file = self.file + ".%d.%d" % (self.current,i+1)
|
||||
if len(fig.colors) > i and fig.colors[i]:
|
||||
cmd += "'" + file + "' using 1:2 with line %d, " % fig.colors[i]
|
||||
|
||||
@ -6,6 +6,9 @@
|
||||
# certain rights in this software. This software is distributed under
|
||||
# the GNU General Public License.
|
||||
|
||||
# for python3 compatibility
|
||||
from __future__ import print_function
|
||||
|
||||
# pdb tool
|
||||
|
||||
oneline = "Read, write PDB files in combo with LAMMPS snapshots"
|
||||
@ -83,7 +86,7 @@ class pdbfile:
|
||||
elif len(args) == 2:
|
||||
filestr = args[0]
|
||||
self.data = args[1]
|
||||
else: raise StandardError, "invalid args for pdb()"
|
||||
else: raise StandardError("invalid args for pdb()")
|
||||
|
||||
# flist = full list of all PDB input file names
|
||||
# append .pdb if needed
|
||||
@ -97,14 +100,14 @@ class pdbfile:
|
||||
for i in xrange(len(flist)):
|
||||
if flist[i][-4:] != ".pdb": flist[i] += ".pdb"
|
||||
if len(flist) == 0:
|
||||
raise StandardError,"no PDB file specified"
|
||||
raise StandardError("no PDB file specified")
|
||||
self.files = flist
|
||||
else: self.files = []
|
||||
|
||||
if len(self.files) > 1 and self.data:
|
||||
raise StandardError, "cannot use multiple PDB files with data object"
|
||||
raise StandardError("cannot use multiple PDB files with data object")
|
||||
if len(self.files) == 0 and not self.data:
|
||||
raise StandardError, "no input PDB file(s)"
|
||||
raise StandardError("no input PDB file(s)")
|
||||
|
||||
# grab PDB file from http://rcsb.org if not a local file
|
||||
|
||||
@ -112,7 +115,7 @@ class pdbfile:
|
||||
try:
|
||||
open(self.files[0],'r').close()
|
||||
except:
|
||||
print "downloading %s from http://rcsb.org" % self.files[0]
|
||||
print("downloading %s from http://rcsb.org" % self.files[0])
|
||||
fetchstr = "http://www.rcsb.org/pdb/cgi/export.cgi/%s?format=PDB&pdbId=2cpk&compression=None" % self.files[0]
|
||||
urllib.urlretrieve(fetchstr,self.files[0])
|
||||
|
||||
@ -142,20 +145,20 @@ class pdbfile:
|
||||
which,time,flag = self.data.iterator(flag)
|
||||
if flag == -1: break
|
||||
self.convert(f,which)
|
||||
print >>f,"END"
|
||||
print time,
|
||||
print("END",file=f)
|
||||
print(time,end='')
|
||||
sys.stdout.flush()
|
||||
n += 1
|
||||
|
||||
else:
|
||||
for file in self.files:
|
||||
f.write(open(file,'r').read())
|
||||
print >>f,"END"
|
||||
print file,
|
||||
print("END",file=f)
|
||||
print(file,end='')
|
||||
sys.stdout.flush()
|
||||
|
||||
f.close()
|
||||
print "\nwrote %d datasets to %s in PDB format" % (n,file)
|
||||
print("\nwrote %d datasets to %s in PDB format" % (n,file))
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# write series of numbered PDB files
|
||||
@ -190,7 +193,7 @@ class pdbfile:
|
||||
self.convert(f,which)
|
||||
f.close()
|
||||
|
||||
print time,
|
||||
print(time,end='')
|
||||
sys.stdout.flush()
|
||||
n += 1
|
||||
|
||||
@ -210,12 +213,12 @@ class pdbfile:
|
||||
f = open(file,'w')
|
||||
f.write(open(infile,'r').read())
|
||||
f.close()
|
||||
print file,
|
||||
print(file,end='')
|
||||
sys.stdout.flush()
|
||||
|
||||
n += 1
|
||||
|
||||
print "\nwrote %d datasets to %s*.pdb in PDB format" % (n,root)
|
||||
print("\nwrote %d datasets to %s*.pdb in PDB format" % (n,root))
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# write a single PDB file
|
||||
@ -280,10 +283,10 @@ class pdbfile:
|
||||
if self.atomlines.has_key(id):
|
||||
(begin,end) = self.atomlines[id]
|
||||
line = "%s%8.3f%8.3f%8.3f%s" % (begin,atom[2],atom[3],atom[4],end)
|
||||
print >>f,line,
|
||||
print(line,file=f,end='')
|
||||
else:
|
||||
for atom in atoms:
|
||||
begin = "ATOM %6d %2d R00 1 " % (atom[0],atom[1])
|
||||
middle = "%8.3f%8.3f%8.3f" % (atom[2],atom[3],atom[4])
|
||||
end = " 1.00 0.00 NONE"
|
||||
print >>f,begin+middle+end
|
||||
print(begin+middle+end,file=f)
|
||||
|
||||
@ -6,6 +6,9 @@
|
||||
# certain rights in this software. This software is distributed under
|
||||
# the GNU General Public License.
|
||||
|
||||
# for python3 compatibility
|
||||
from __future__ import print_function
|
||||
|
||||
# vmd tool
|
||||
|
||||
# Minimalistic VMD embedding for Pizza.py
|
||||
@ -52,7 +55,7 @@ except: PIZZA_VMDDIR = "/usr/local/lib/vmd"
|
||||
try: from DEFAULTS import PIZZA_VMDDEV
|
||||
except: PIZZA_VMDDEV = "win"
|
||||
try: from DEFAULTS import PIZZA_VMDARCH
|
||||
except: PIZZA_VMDARCH = "LINUX"
|
||||
except: PIZZA_VMDARCH = "LINUXAMD64"
|
||||
|
||||
# try these settings for a Mac
|
||||
#PIZZA_VMDNAME = "vmd"
|
||||
@ -62,8 +65,8 @@ except: PIZZA_VMDARCH = "LINUX"
|
||||
|
||||
try: import pexpect
|
||||
except:
|
||||
print "pexpect from http://pypi.python.org/pypi/pexpect", \
|
||||
"is required for vmd tool"
|
||||
print("pexpect from http://pypi.python.org/pypi/pexpect", \
|
||||
"is required for vmd tool")
|
||||
raise
|
||||
|
||||
# Class definition
|
||||
@ -109,7 +112,7 @@ class vmd:
|
||||
self.VMD.sendline(command)
|
||||
self.VMD.expect('vmd >')
|
||||
if self.debugme:
|
||||
print "call+result:"+self.VMD.before
|
||||
print("call+result:"+self.VMD.before)
|
||||
return
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
@ -127,9 +130,9 @@ class vmd:
|
||||
# turn on debugging info
|
||||
def debug(self,status=True):
|
||||
if status and not self.debugme:
|
||||
print 'Turning vmd.py debugging ON.'
|
||||
print('Turning vmd.py debugging ON.')
|
||||
if not status and self.debugme:
|
||||
print 'Turning vmd.py debugging OFF.'
|
||||
print('Turning vmd.py debugging OFF.')
|
||||
self.debugme = status
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
@ -141,14 +144,14 @@ class vmd:
|
||||
try:
|
||||
command = raw_input("vmd > ")
|
||||
except EOFError:
|
||||
print "(EOF)"
|
||||
print("(EOF)")
|
||||
self.__call__('menu main off')
|
||||
return
|
||||
if command == "quit" or command == "exit":
|
||||
self.__call__('menu main off')
|
||||
return
|
||||
if command == "gopython":
|
||||
print "gopython not supported here"
|
||||
print("gopython not supported here")
|
||||
continue
|
||||
self.__call__(command)
|
||||
|
||||
|
||||
@ -10,6 +10,7 @@
|
||||
# compute-ID = ID of compute that calculates temperature
|
||||
# (or any other scalar quantity)
|
||||
|
||||
from __future__ import print_function
|
||||
import sys
|
||||
sys.path.append("./pizza")
|
||||
from gnu import gnu
|
||||
@ -18,7 +19,7 @@ from gnu import gnu
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 5:
|
||||
print "Syntax: plot.py in.lammps Nfreq Nsteps compute-ID"
|
||||
print("Syntax: plot.py in.lammps Nfreq Nsteps compute-ID")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -71,5 +72,5 @@ while ntimestep < nsteps:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -11,13 +11,14 @@
|
||||
# in.lammps = LAMMPS input script
|
||||
# also need to uncomment either Pypar or mpi4py sections below
|
||||
|
||||
from __future__ import print_function
|
||||
import sys
|
||||
|
||||
# parse command line
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 2:
|
||||
print "Syntax: simple.py in.lammps"
|
||||
print("Syntax: simple.py in.lammps")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -56,13 +57,13 @@ 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]
|
||||
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("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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
# uncomment if running in parallel via mpi4py
|
||||
|
||||
@ -7,13 +7,14 @@
|
||||
# Syntax: split.py in.lammps
|
||||
# in.lammps = LAMMPS input script
|
||||
|
||||
from __future__ import print_function
|
||||
import sys
|
||||
|
||||
# parse command line
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 2:
|
||||
print "Syntax: simple.py in.lammps"
|
||||
print("Syntax: simple.py in.lammps")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -57,12 +58,12 @@ if color == 0:
|
||||
lmp.command("run 1");
|
||||
|
||||
f = lmp.extract_atom("f",3)
|
||||
print "Force on 1 atom via extract_atom: ",f[0][0]
|
||||
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"
|
||||
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
|
||||
@ -71,7 +72,7 @@ else:
|
||||
|
||||
import time
|
||||
time.sleep(2)
|
||||
print "Calculation on partition 1 complete"
|
||||
print("Calculation on partition 1 complete")
|
||||
|
||||
# shutdown mpi4py
|
||||
|
||||
|
||||
@ -6,13 +6,14 @@
|
||||
# Syntax: trivial.py in.lammps
|
||||
# in.lammps = LAMMPS input script
|
||||
|
||||
from __future__ import print_function
|
||||
import sys
|
||||
|
||||
# parse command line
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 2:
|
||||
print "Syntax: trivial.py in.lammps"
|
||||
print("Syntax: trivial.py in.lammps")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
|
||||
@ -8,6 +8,7 @@
|
||||
# Nfreq = dump and viz shapshot every this many steps
|
||||
# Nsteps = run for this many steps
|
||||
|
||||
from __future__ import print_function
|
||||
import sys,os
|
||||
|
||||
# set this to point to AtomEye version 3 executable
|
||||
@ -19,7 +20,7 @@ ATOMEYE3 = "/home/sjplimp/tools/atomeye3/A3.i686-20060530 > atomeye.out"
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: viz_atomeye.py in.lammps Nfreq Nsteps"
|
||||
print("Syntax: viz_atomeye.py in.lammps Nfreq Nsteps")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -68,5 +69,5 @@ while ntimestep < nsteps:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -8,6 +8,7 @@
|
||||
# Nfreq = dump and viz shapshot every this many steps
|
||||
# Nsteps = run for this many steps
|
||||
|
||||
from __future__ import print_function
|
||||
import sys
|
||||
sys.path.append("./pizza")
|
||||
|
||||
@ -15,7 +16,7 @@ sys.path.append("./pizza")
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: viz_gl.py in.lammps Nfreq Nsteps"
|
||||
print("Syntax: viz_gl.py in.lammps Nfreq Nsteps")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -48,7 +49,11 @@ ntimestep = 0
|
||||
# just proc 0 handles reading of dump file and viz
|
||||
|
||||
if me == 0:
|
||||
import Tkinter
|
||||
tkroot = None
|
||||
try:
|
||||
import Tkinter
|
||||
except:
|
||||
import tkinter as Tkinter
|
||||
tkroot = Tkinter.Tk()
|
||||
tkroot.withdraw()
|
||||
|
||||
@ -79,5 +84,5 @@ while ntimestep < nsteps:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -8,6 +8,7 @@
|
||||
# Nfreq = dump and viz shapshot every this many steps
|
||||
# Nsteps = run for this many steps
|
||||
|
||||
from __future__ import print_function
|
||||
import sys
|
||||
sys.path.append("./pizza")
|
||||
|
||||
@ -15,7 +16,7 @@ sys.path.append("./pizza")
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: viz_pymol.py in.lammps Nfreq Nsteps"
|
||||
print("Syntax: viz_pymol.py in.lammps Nfreq Nsteps")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -78,5 +79,5 @@ while ntimestep < nsteps:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -8,6 +8,7 @@
|
||||
# Nfreq = dump and viz shapshot every this many steps
|
||||
# Nsteps = run for this many steps
|
||||
|
||||
from __future__ import print_function
|
||||
import sys
|
||||
sys.path.append("./pizza")
|
||||
|
||||
@ -15,7 +16,7 @@ sys.path.append("./pizza")
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: viz_vmd.py in.lammps Nfreq Nsteps"
|
||||
print("Syntax: viz_vmd.py in.lammps Nfreq Nsteps")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -82,10 +83,10 @@ if me == 0:
|
||||
v.flush()
|
||||
# uncomment the following, if you want to work with the viz some more.
|
||||
#v('menu main on')
|
||||
#print "type quit to terminate."
|
||||
#print("type quit to terminate.")
|
||||
#v.enter()
|
||||
#v.stop()
|
||||
|
||||
# uncomment if running in parallel via Pypar
|
||||
#print "Proc %d out of %d procs has" % (me,nprocs), lmp
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -12,6 +12,7 @@
|
||||
# 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")
|
||||
|
||||
@ -50,7 +51,7 @@ def update(ntimestep):
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: vizplotgui_atomeye.py in.lammps Nfreq compute-ID"
|
||||
print("Syntax: vizplotgui_atomeye.py in.lammps Nfreq compute-ID")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -97,7 +98,10 @@ if me == 0:
|
||||
# display GUI with run/stop buttons and slider for temperature
|
||||
|
||||
if me == 0:
|
||||
from Tkinter import *
|
||||
try:
|
||||
from Tkinter import *
|
||||
except:
|
||||
from tkinter import *
|
||||
tkroot = Tk()
|
||||
tkroot.withdraw()
|
||||
root = Toplevel(tkroot)
|
||||
@ -161,5 +165,5 @@ while 1:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -12,6 +12,7 @@
|
||||
# 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")
|
||||
|
||||
@ -46,7 +47,7 @@ def update(ntimestep):
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: vizplotgui_gl.py in.lammps Nfreq compute-ID"
|
||||
print("Syntax: vizplotgui_gl.py in.lammps Nfreq compute-ID")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -86,7 +87,10 @@ temptarget = 1.0
|
||||
# just proc 0 handles reading of dump file and viz
|
||||
|
||||
if me == 0:
|
||||
from Tkinter import *
|
||||
try:
|
||||
from Tkinter import *
|
||||
except:
|
||||
from tkinter import *
|
||||
tkroot = Tk()
|
||||
tkroot.withdraw()
|
||||
|
||||
@ -107,7 +111,10 @@ if me == 0:
|
||||
# display GUI with run/stop buttons and slider for temperature
|
||||
|
||||
if me == 0:
|
||||
from Tkinter import *
|
||||
try:
|
||||
from Tkinter import *
|
||||
except:
|
||||
from tkinter import *
|
||||
tkroot = Tk()
|
||||
tkroot.withdraw()
|
||||
root = Toplevel(tkroot)
|
||||
@ -171,5 +178,5 @@ while 1:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -12,6 +12,7 @@
|
||||
# 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")
|
||||
|
||||
@ -48,7 +49,7 @@ def update(ntimestep):
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: vizplotgui_pymol.py in.lammps Nfreq compute-ID"
|
||||
print("Syntax: vizplotgui_pymol.py in.lammps Nfreq compute-ID")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -106,7 +107,10 @@ if me == 0:
|
||||
# display GUI with run/stop buttons and slider for temperature
|
||||
|
||||
if me == 0:
|
||||
from Tkinter import *
|
||||
try:
|
||||
from Tkinter import *
|
||||
except:
|
||||
from tkinter import *
|
||||
tkroot = Tk()
|
||||
tkroot.withdraw()
|
||||
root = Toplevel(tkroot)
|
||||
@ -170,5 +174,5 @@ while 1:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
@ -12,6 +12,7 @@
|
||||
# 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")
|
||||
|
||||
@ -47,7 +48,7 @@ def update(ntimestep):
|
||||
|
||||
argv = sys.argv
|
||||
if len(argv) != 4:
|
||||
print "Syntax: vizplotgui_vmd.py in.lammps Nfreq compute-ID"
|
||||
print("Syntax: vizplotgui_vmd.py in.lammps Nfreq compute-ID")
|
||||
sys.exit()
|
||||
|
||||
infile = sys.argv[1]
|
||||
@ -105,7 +106,10 @@ if me == 0:
|
||||
# display GUI with run/stop buttons and slider for temperature
|
||||
|
||||
if me == 0:
|
||||
from Tkinter import *
|
||||
try:
|
||||
from Tkinter import *
|
||||
except:
|
||||
from tkinter import *
|
||||
tkroot = Tk()
|
||||
tkroot.withdraw()
|
||||
root = Toplevel(tkroot)
|
||||
@ -169,5 +173,5 @@ while 1:
|
||||
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
|
||||
#print("Proc %d out of %d procs has" % (me,nprocs), lmp)
|
||||
#pypar.finalize()
|
||||
|
||||
Reference in New Issue
Block a user