def runtests(testname='interface 1', plotsoln=False):
#-------------------------------------
'''
================================
Main code to run a set of tests:
================================
'''
if plotsoln:
from plotclaw import plotclaw
# set data values:
data = ClawData()
parms= ClawData()
data.tfinal = 8 # final time
data.ic = 9 #C^5 Newton polynomial initial condition
data.a = 1.0 #Pulse half-width
data.x0 = -4.0 #Pulse half-width
data.xlower = -10.0
data.xupper = 10.0
data.mthbc_xlower = 2
data.mthbc_xupper = 2
data.mthbc=[2,2]
parms.time_integrator = 4
parms.cfl_max = 2.9
parms.cfl_desired = 2.85
if plotsoln:
data.nout = 10 # output at several times for plotting
data.write('setplot1.data')
else:
data.nout = 1 # only output at final time
if testname=='homogeneous':
# Homogenous medium
data.ninter=1
data.interface=0.0
data.c = 1.0,1.0
data.rho = 1.0,1.0
data.write('setprob.data')
data.write('sharpclaw.data')
#Set parameters that are uniform for all runs
parms.char_decomp = 0
parms.lim_type = 0
parms.write('sharpclaw.data')
parms.write('claw.data')
#Set run-specific parameters
runnames=['TVD2','WENO5','UC7','ClawPack']
runparms={}
for name in runnames:
runparms[name]=ClawData()
runparms=setparms(runparms,name)
mxvals = array([200,400,800,1600,3200]) # mx values
elif testname=='interface 1':
# Weak interface
data.ninter=1
data.interface=0.0
data.c = 1.0,0.5
data.rho = 1.0,4.0
data.write('setprob.data')
data.write('sharpclaw.data')
#Set parameters that are uniform for all runs
parms.char_decomp = 0
parms.lim_type = 0
parms.write('sharpclaw.data')
parms.write('claw.data')
#Set run-specific parameters
#runnames=['WENO5 Wave','UC3 Wave','UC7 Wave']
runnames=['TVD2','WENO5','UC7','ClawPack']
runparms={}
for name in runnames:
runparms[name]=ClawData()
runparms=setparms(runparms,name)
mxvals = array([200,400,800,1600,3200]) # mx values
elif testname=='interface 2':
# Strong interface
data.ninter=1
data.interface=0.0
data.c = 1.0,0.5
data.rho = 1.0,4000.0
data.write('setprob.data')
data.write('sharpclaw.data')
data.write('claw.data')
#Set parameters that are uniform or default
parms.char_decomp = 0
parms.lim_type = 0
#Set run-specific parameters
runnames=['TVD2','WENO5','WENO5 Char','ClawPack']
runparms={}
for name in runnames:
runparms[name]=ClawData()
runparms=setparms(runparms,name)
mxvals = array([200,400,800,1600,3200]) # mx values
elif testname=='periodic':
data.a = 1.0 #Pulse half-width
data.x0 = -1.0 #Pulse center
data.xlower = -10.0
data.xupper = 10.0
data.tfinal = 8. # final time
#data.interface=range(data.xlower+1,data.xupper)
delta=2.0
data.interface=list(arange(data.xlower+delta,data.xupper,delta))
data.ninter=len(data.interface)
print 'ninter: ',data.ninter
data.c = [1.,1.]*((data.ninter+1)/2)
data.rho = [1.,3.]*((data.ninter+1)/2)
print len(data.c)
data.write('setprob.data')
data.write('sharpclaw.data')
data.write('claw.data')
#Set run-specific parameters
runnames=['TVD2','WENO5','WENO5 Char','ClawPack']
runparms={}
for name in runnames:
runparms[name]=ClawData()
runparms=setparms(runparms,name)
mxvals = array([200,400,800,1600,3200]) # mx values
else:
print "Unrecognized input: itest = ", itest
sys.exit(1)
print "------------------------------------------------------------------"
exact = {}
table = {} # dictionary of data and results for each test
for run in runnames:
table[run] = {} # dictionary to hold data
# and results for this test
this_table = table[run] # short name
this_table['mxvals'] = mxvals # grid resolutions to test
this_table['ave_cell_area'] = (data.xupper-data.xlower) / mxvals
this_table['tfinal'] = data.tfinal
this_table['errors'] = empty(len(mxvals))
this_table['runtimes'] = empty(len(mxvals))
for igrid in range(len(mxvals)):
mx = mxvals[igrid]
parms.mx = mx
#data.write('setprob.data')
#os.system('dos2unix claw2ez.data')
#os.system('dos2unix setprob.data')
print "-------------------------------------------------------"
print 'Running code for run %s with mx = %g ...' \
% (run,mx)
odir = '.'
# or use next line to put each set of output in separate subdir:
# odir = 'output_lim%ggrid%gmx%g' % (mthlim,igrid,mx)
# run fortran code:
t1 = time.time()
if run=='ClawPack':
parms.write('claw.data')
runparms[run].write('claw.data')
runclaw(outdir=odir, overwrite=True, xclawcmd='xclaw')
else:
parms.write('sharpclaw.data')
runparms[run].write('sharpclaw.data')
runclaw(outdir=odir, overwrite=True, xclawcmd='xsclaw')
CPUtime = time.time() - t1
this_table['runtimes'][igrid] = CPUtime
print "CPU time = ",CPUtime
# compute exact solution if not already computed
if not exact.has_key(mx):
exact[mx]=compute_exact_solution(odir,frame=data.nout)
# compute errors:
try:
errors = compute_errors(exact[mx],odir,frame=data.nout)
except:
errors = array([inf])
# max-norm of error:
errormax = abs(errors).max()
# approx 1-norm of error:
errorsum = abs(errors).sum()
error1 = errorsum * this_table['ave_cell_area'][igrid]
this_table['errors'][igrid] = error1
if plotsoln:
# put each set of plots in a different directory:
pdir = 'plots_%g_%gmx%g' % (prm1,prm2,data.mx)
plotclaw(outdir=odir, plotdir=pdir, overwrite=True, \
indexentry='%s = %2i, %s = %2i, mx = %4i, \
' % (param1,prm1,param2,prm2,mx))
# save results:
db = shelve.open('table.db')
db['tfinal'] = data.tfinal
db['table'] = table
db['runnames'] = runnames
db.close
# output tables:
#make_text_table(table, runnames, mxvals, fname='errortables.txt')
make_latex_table(table, runnames, testname, fname='errortables.tex')
def runtests(testname='interface 1', plotsoln=False):
#-------------------------------------
'''
================================
Main code to run a set of tests:
================================
'''
if plotsoln:
from plotclaw import plotclaw
# set data values:
data = ClawData()
parms = ClawData()
data.tfinal = 8 # final time
data.ic = 9 #C^5 Newton polynomial initial condition
data.a = 1.0 #Pulse half-width
data.x0 = -4.0 #Pulse half-width
data.xlower = -10.0
data.xupper = 10.0
data.mthbc_xlower = 2
data.mthbc_xupper = 2
data.mthbc = [2, 2]
parms.time_integrator = 4
parms.cfl_max = 2.9
parms.cfl_desired = 2.85
if plotsoln:
data.nout = 10 # output at several times for plotting
data.write('setplot1.data')
else:
data.nout = 1 # only output at final time
if testname == 'homogeneous':
# Homogenous medium
data.ninter = 1
data.interface = 0.0
data.c = 1.0, 1.0
data.rho = 1.0, 1.0
data.write('setprob.data')
data.write('sharpclaw.data')
#Set parameters that are uniform for all runs
parms.char_decomp = 0
parms.lim_type = 0
parms.write('sharpclaw.data')
parms.write('claw.data')
#Set run-specific parameters
runnames = ['TVD2', 'WENO5', 'UC7', 'ClawPack']
runparms = {}
for name in runnames:
runparms[name] = ClawData()
runparms = setparms(runparms, name)
mxvals = array([200, 400, 800, 1600, 3200]) # mx values
elif testname == 'interface 1':
# Weak interface
data.ninter = 1
data.interface = 0.0
data.c = 1.0, 0.5
data.rho = 1.0, 4.0
data.write('setprob.data')
data.write('sharpclaw.data')
#Set parameters that are uniform for all runs
parms.char_decomp = 0
parms.lim_type = 0
parms.write('sharpclaw.data')
parms.write('claw.data')
#Set run-specific parameters
#runnames=['WENO5 Wave','UC3 Wave','UC7 Wave']
runnames = ['TVD2', 'WENO5', 'UC7', 'ClawPack']
runparms = {}
for name in runnames:
runparms[name] = ClawData()
runparms = setparms(runparms, name)
mxvals = array([200, 400, 800, 1600, 3200]) # mx values
elif testname == 'interface 2':
# Strong interface
data.ninter = 1
data.interface = 0.0
data.c = 1.0, 0.5
data.rho = 1.0, 4000.0
data.write('setprob.data')
data.write('sharpclaw.data')
data.write('claw.data')
#Set parameters that are uniform or default
parms.char_decomp = 0
parms.lim_type = 0
#Set run-specific parameters
runnames = ['TVD2', 'WENO5', 'WENO5 Char', 'ClawPack']
runparms = {}
for name in runnames:
runparms[name] = ClawData()
runparms = setparms(runparms, name)
mxvals = array([200, 400, 800, 1600, 3200]) # mx values
elif testname == 'periodic':
data.a = 1.0 #Pulse half-width
data.x0 = -1.0 #Pulse center
data.xlower = -10.0
data.xupper = 10.0
data.tfinal = 8. # final time
#data.interface=range(data.xlower+1,data.xupper)
delta = 2.0
data.interface = list(arange(data.xlower + delta, data.xupper, delta))
data.ninter = len(data.interface)
print 'ninter: ', data.ninter
data.c = [1., 1.] * ((data.ninter + 1) / 2)
data.rho = [1., 3.] * ((data.ninter + 1) / 2)
print len(data.c)
data.write('setprob.data')
data.write('sharpclaw.data')
data.write('claw.data')
#Set run-specific parameters
runnames = ['TVD2', 'WENO5', 'WENO5 Char', 'ClawPack']
runparms = {}
for name in runnames:
runparms[name] = ClawData()
runparms = setparms(runparms, name)
mxvals = array([200, 400, 800, 1600, 3200]) # mx values
else:
print "Unrecognized input: itest = ", itest
sys.exit(1)
print "------------------------------------------------------------------"
exact = {}
table = {} # dictionary of data and results for each test
for run in runnames:
table[run] = {} # dictionary to hold data
# and results for this test
this_table = table[run] # short name
this_table['mxvals'] = mxvals # grid resolutions to test
this_table['ave_cell_area'] = (data.xupper - data.xlower) / mxvals
this_table['tfinal'] = data.tfinal
this_table['errors'] = empty(len(mxvals))
this_table['runtimes'] = empty(len(mxvals))
for igrid in range(len(mxvals)):
mx = mxvals[igrid]
parms.mx = mx
#data.write('setprob.data')
#os.system('dos2unix claw2ez.data')
#os.system('dos2unix setprob.data')
print "-------------------------------------------------------"
print 'Running code for run %s with mx = %g ...' \
% (run,mx)
odir = '.'
# or use next line to put each set of output in separate subdir:
# odir = 'output_lim%ggrid%gmx%g' % (mthlim,igrid,mx)
# run fortran code:
t1 = time.time()
if run == 'ClawPack':
parms.write('claw.data')
runparms[run].write('claw.data')
runclaw(outdir=odir, overwrite=True, xclawcmd='xclaw')
else:
parms.write('sharpclaw.data')
runparms[run].write('sharpclaw.data')
runclaw(outdir=odir, overwrite=True, xclawcmd='xsclaw')
CPUtime = time.time() - t1
this_table['runtimes'][igrid] = CPUtime
print "CPU time = ", CPUtime
# compute exact solution if not already computed
if not exact.has_key(mx):
exact[mx] = compute_exact_solution(odir, frame=data.nout)
# compute errors:
try:
errors = compute_errors(exact[mx], odir, frame=data.nout)
except:
errors = array([inf])
# max-norm of error:
errormax = abs(errors).max()
# approx 1-norm of error:
errorsum = abs(errors).sum()
error1 = errorsum * this_table['ave_cell_area'][igrid]
this_table['errors'][igrid] = error1
if plotsoln:
# put each set of plots in a different directory:
pdir = 'plots_%g_%gmx%g' % (prm1, prm2, data.mx)
plotclaw(outdir=odir, plotdir=pdir, overwrite=True, \
indexentry='%s = %2i, %s = %2i, mx = %4i, \
' % (param1,prm1,param2,prm2,mx))
# save results:
db = shelve.open('table.db')
db['tfinal'] = data.tfinal
db['table'] = table
db['runnames'] = runnames
db.close
# output tables:
#make_text_table(table, runnames, mxvals, fname='errortables.txt')
make_latex_table(table, runnames, testname, fname='errortables.tex')