def run_post(inp,outdir,descr):
wd = path.join(outdir,path.splitext(path.basename(inp))[0])
if descr!="": wd+='-'+descr
print '\n'
print '--------------------------------------------------------------------------------'
print '-- RUNNING POSTPROCESSOR:',path.join(wd,'job.odb')
print '--------------------------------------------------------------------------------'
# Run the extraction.
rootdir = os.getcwd()
try:
os.chdir(wd)
except Exception:
utility.print_error(sys.exc_info()[0],False)
return 0
tstart = time.time()
script = utility.find_file('python/abq_extract_data.py')
cmd=[ABAQUS,'cae','noGUI='+script,'--','job.odb','data.rpt']
try:
utility.run_cmd_screen(cmd)
with open('data.tmp','w') as of, open('data.rpt','r') as f:
for line in f:
line = line.rstrip() # Remove newline/carriage-return.
if line.find('NoValue') < 0: of.write(line+'\n')
shutil.move('data.tmp','data.rpt')
except Exception:
utility.print_error(sys.exc_info()[0],False)
print 'TIME ELAPSED: ',utility.time_elapsed(tstart)
os.chdir(rootdir)
return 0
try:
import create_result_plots, numpy
from matplotlib import pyplot
pyplot.rc('mathtext',default='regular') # Don't use italics for mathmode.
fig,ax = pyplot.subplots()
create_result_plots.plot_fem_data(ax,'data.rpt')
lgd = ax.legend(loc='best',frameon=False,framealpha=0)
pyplot.savefig('plot.png',bbox_extra_artists=(lgd,), bbox_inches='tight')
pyplot.close()
if path.exists('data-energy.rpt'):
fig,ax = pyplot.subplots()
create_result_plots.plot_fem_energy(ax,'data-energy.rpt')
lgd = ax.legend(loc='best',frameon=False,framealpha=0)
pyplot.savefig('plot-energy.png',bbox_extra_artists=(lgd,), bbox_inches='tight')
pyplot.close()
if path.exists('data-strain.csv'):
fig,ax = pyplot.subplots()
data = numpy.loadtxt('data-strain.csv',delimiter=',')
ax.plot(data[:,0],data[:,1],'o-',label='Nominal Strain')
ax.set_xlabel('Time (meaningless units)')
ax.set_ylabel('Nominal Strain')
ax.grid()
pyplot.savefig('plot-strain.png', bbox_inches='tight')
pyplot.close()
except Exception:
utility.print_error('Failed to create result plots.',False)
print 'TIME ELAPSED: ',utility.time_elapsed(tstart)
os.chdir(rootdir)
return 1
def run_abq(inp, outdir, np, descr):
wd = path.join(outdir, path.splitext(path.basename(inp))[0])
if descr != "": wd += '-' + descr
print '\n'
print '--------------------------------------------------------------------------------'
print '-- RUNNING ABAQUS:', inp, descr, '(' + str(np) + ' processors)'
print '-- IN:', wd
print '--------------------------------------------------------------------------------'
if path.exists(wd): shutil.rmtree(wd)
if not inp.endswith('.inp'):
utility.print_error('Input file must be a .inp Abaqus run file.',
False)
return 0
# Prepare the directories.
os.makedirs(wd)
inpNEW = path.join(wd, 'job.inp')
if not utility.safe_hardlink(inp, inpNEW):
shutil.rmtree(wd)
return 0
create_env(np, wd)
# Run the simulation.
rootdir = os.getcwd()
os.chdir(wd)
tstart = time.time()
cmd = [ABAQUS, 'job=job', 'input=job.inp', 'interactive']
try:
utility.run_cmd_screen(cmd)
except Exception:
utility.print_error(sys.exc_info()[0], False)
return 0
finally:
print 'TIME ELAPSED: ', utility.time_elapsed(tstart)
os.chdir(rootdir)
return 1
if len(params) == 0:
if 'u' in data:
calc_params(data, args.descr, model, method, args.poisson, 'u',
args.points, params, ext, args.xlim, args.ylim,
args.ylimerr)
if 'b' in data:
calc_params(data, args.descr, model, method, args.poisson, 'b',
args.points, params, ext, args.xlim, args.ylim,
args.ylimerr)
if 'p' in data:
calc_params(data, args.descr, model, method, args.poisson, 'p',
args.points, params, ext, args.xlim, args.ylim,
args.ylimerr)
# TODO - Drucker stability check?
print '--------------------------------------------------------------------'
print ' Results for', model.pname(), 'fits.'
print ' Format:', model.params()
print ' Model Description:', model.descr()
print '--------------------------------------------------------------------'
np.set_printoptions(suppress=False)
for t, p in params.iteritems():
print '* Parameters for fit to', MU.get_name(t), 'data.'
print 'LRsquared:', p[-2]
print 'GRsquared:', p[-1]
print 'P:', p[:-2]
print 'D:', model.compressibility(args.poisson, *p[:-2])
print
print 'TOTAL TIME ELAPSED: ', U.time_elapsed(tinit)
r, jobfile = run_slurm(inp, cp, args.qtime, args.outdir,
args.nodes, np, args.descr)
tC += r
tA += 1
# Submit the job.
if args.array < 0:
# log = utility.run_cmd(['sbatch','--qos=debug',jobfile])
log = utility.run_cmd(['sbatch', jobfile])
print log.rstrip(), '--', jobfile
else:
jobs.append(jobfile)
else:
if args.all or args.run:
tC += run_abq(inp, args.outdir, np, args.descr)
tA += 1
if args.all or args.post:
tC += run_post(inp, args.outdir, args.descr)
tA += 1
# Submit array job if requested.
if args.array >= 0:
run_array(args.outdir, jobs, args.array, cp, args.qtime, args.nodes,
np, args.descr)
print '\n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++'
print 'TASKS ATTEMPTED: ', tA
print 'TASKS COMPLETED: ', tC
print 'TOTAL TIME ELAPSED: ', utility.time_elapsed(tinit)
if tA != tC: print '\t!!!!!!!!!! ', tA - tC, 'tasks failed !!!!!!!!!!'
print '++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++'