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#!/usr/bin/env python
# ------------------------------------------------------------------------------
# Programmer(s): Daniel R. Reynolds @ SMU
# David J. Gardner @ LLNL
# ------------------------------------------------------------------------------
# SUNDIALS Copyright Start
# Copyright (c) 2002-2022, Lawrence Livermore National Security
# and Southern Methodist University.
# All rights reserved.
#
# See the top-level LICENSE and NOTICE files for details.
#
# SPDX-License-Identifier: BSD-3-Clause
# SUNDIALS Copyright End
# ------------------------------------------------------------------------------
# matplotlib-based plotting script for the parallel ark_heat2D_p examples
# ------------------------------------------------------------------------------
# imports
import sys, os
import shlex
import numpy as np
from pylab import *
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as plt
# ------------------------------------------------------------------------------
# read MPI root process problem info file
infofile = 'heat2d_info.00000.txt'
with open(infofile) as fn:
# read the file line by line
for line in fn:
# split line into list
text = shlex.split(line)
# x-direction upper domian bound
if "xu" in line:
xu = float(text[1])
continue
# y-direction upper domain bound
if "yu" in line:
yu = float(text[1])
continue
# nodes in the x-direction (global)
if "nx" in line:
nx = int(text[1])
continue
# nodes in the y-direction (global)
if "ny" in line:
ny = int(text[1])
continue
# total number of MPI processes
if "np"in line:
nprocs = int(text[1])
continue
# number of output times
if "nt" in line:
nt = int(text[1])
continue
# ------------------------------------------------------------------------------
# load subdomain information, store in table
subdomains = np.zeros((nprocs,4), dtype=np.int)
for i in range(nprocs):
infofile = 'heat2d_info.' + repr(i).zfill(5) + '.txt'
with open(infofile) as fn:
# read the file line by line
for line in fn:
# split line into list
text = shlex.split(line)
# x-direction starting index
if "is" in line:
subdomains[i,0] = float(text[1])
continue
# x-direction ending index
if "ie" in line:
subdomains[i,1] = float(text[1])
continue
# y-direction starting index
if "js" in line:
subdomains[i,2] = float(text[1])
continue
# y-direction ending index
if "je" in line:
subdomains[i,3] = float(text[1])
continue
# ------------------------------------------------------------------------------
# check if the error was output
fname = 'heat2d_error.00000.txt'
if os.path.isfile(fname):
plottype = ['solution', 'error']
else:
plottype = ['solution']
for pt in plottype:
# fill array with data
time = np.zeros(nt)
result = np.zeros((nt, ny, nx))
for i in range(nprocs):
datafile = 'heat2d_' + pt + '.' + repr(i).zfill(5) + '.txt'
# load data
data = np.loadtxt(datafile, dtype=np.double)
if (np.shape(data)[0] != nt):
sys.exit('error: subdomain ' + i + ' has an incorrect number of time steps')
# subdomain indices
istart = subdomains[i,0]
iend = subdomains[i,1]
jstart = subdomains[i,2]
jend = subdomains[i,3]
nxl = iend - istart + 1
nyl = jend - jstart + 1
# extract data
for i in range(nt):
time[i] = data[i,0]
result[i,jstart:jend+1,istart:iend+1] = np.reshape(data[i,1:], (nyl,nxl))
# determine extents of plots
maxtemp = 1.1 * result.max()
mintemp = 0.9 * result.min()
# set x and y meshgrid objects
xspan = np.linspace(0.0, xu, nx)
yspan = np.linspace(0.0, yu, ny)
X,Y = np.meshgrid(xspan, yspan)
nxstr = repr(nx)
nystr = repr(ny)
# generate plots
for tstep in range(nt):
# set string constants for output plots, current time, mesh size
pname = 'heat2d_surf_' + pt + '.' + repr(tstep).zfill(3) + '.png'
tstr = str(time[tstep])
# plot surface and save to disk
fig = plt.figure(1)
ax = fig.add_subplot(111, projection='3d')
ax.plot_surface(X, Y, result[tstep,:,:], rstride=1, cstride=1,
cmap=cm.jet, linewidth=0, antialiased=True, shade=True)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlim((mintemp, maxtemp))
ax.view_init(20,45)
if (pt == 'solution'):
title('u(x,y) at t = ' + tstr)
else:
title('error(x,y) at t = ' + tstr)
savefig(pname)
plt.close()
##### end of script #####
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