def adaptive(rootdir, norm, ref, file, inifile="blob-convection.ini"):
dirsx = glob.glob(rootdir)
e, Nb, eps_list, Jmax_list, compression_list = [], [], [], [], []
if len(dirsx) == 0:
raise ValueError('no data')
for d in dirsx:
eps = wt.get_ini_parameter(d + "/" + inifile, "Blocks", "eps")
Jmax = wt.get_ini_parameter(d + "/" + inifile,
"Blocks",
"max_treelevel",
dtype=np.int32)
eps_list.append(eps)
Jmax_list.append(Jmax)
fpath = d + "/" + file
fpath_sparse = d + "/" + file.replace("-dense", "")
if (os.path.isfile(fpath)):
# compute error
field, box, dx, X = wt.to_dense_grid(fpath)
err = np.linalg.norm(field - ref, ord=norm) / np.linalg.norm(
ref, ord=norm)
e.append(err)
print("rel error: %f" % err)
if (os.path.isfile(fpath_sparse)):
Nbl_sparse = sum(
wt.block_level_distribution_file(fpath_sparse))
Nbl_dense = sum(wt.block_level_distribution_file(fpath))
compression_list.append(Nbl_sparse / Nbl_dense)
return e, Jmax_list, eps_list, compression_list
def adaptive(rootdir, norm, ref, file, inifile="blob-convection.ini"):
dirsx = glob.glob(rootdir)
e, Nb, eps_list, Jmax_list, compression_list = [], [], [], [], []
if len(dirsx) == 0:
raise ValueError('no data')
for d in dirsx:
eps = wt.get_ini_parameter(d + "/" + inifile, "Blocks", "eps")
Jmax = wt.get_ini_parameter(d + "/" + inifile,
"Blocks",
"max_treelevel",
dtype=np.int32)
eps_list.append(eps)
Jmax_list.append(Jmax)
fpath = d + "/" + file
fpath_sparse = d + "/" + file.replace("-dense", "")
if (os.path.isfile(fpath)):
# compute error
err = wt.wabbit_error_vs_wabbit(fpath, ref, norm=norm)
e.append(err)
if (os.path.isfile(fpath_sparse)):
Nbl_sparse = sum(
wt.block_level_distribution_file(fpath_sparse))
Nbl_dense = sum(wt.block_level_distribution_file(fpath))
compression_list.append(Nbl_sparse / Nbl_dense)
return e, Jmax_list, eps_list, compression_list
def err_equidist(rootdir, norm, ref, file, inifile="blob-convection.ini"):
dirsx = glob.glob(rootdir)
e, Jmax_list = [], []
if len(dirsx) == 0:
raise ValueError('no data')
for d in dirsx:
Jmax = wt.get_ini_parameter(d + "/" + inifile,
"Blocks",
"max_treelevel",
dtype=np.int32)
Jmax_list.append(Jmax)
fpath = d + "/" + file
fpath_ref = d + "/" + ref
if (os.path.isfile(fpath)):
# compute error
err = wt.wabbit_error_vs_wabbit(fpath, fpath_ref, norm=norm)
e.append(err)
return e, Jmax_list
def err_equidist(rootdir, norm, ref, file, inifile="blob-convection.ini"):
dirsx = glob.glob(rootdir)
e, Jmax_list = [], []
if len(dirsx) == 0:
raise ValueError('no data')
for d in dirsx:
Jmax = wt.get_ini_parameter(d + "/" + inifile,
"Blocks",
"max_treelevel",
dtype=np.int32)
Jmax_list.append(Jmax)
fpath = d + "/" + file
if (os.path.isfile(fpath)):
# compute error
field, box, dx, X = wt.to_dense_grid(fpath)
err = np.linalg.norm(field - ref, ord=norm) / np.linalg.norm(
ref, ord=norm)
e.append(err)
print("rel error: %f" % err)
return e, Jmax_list
else:
dir = args.directory
if dir[-1] is not '/':
dir = dir + '/'
#------------------------------------------------------------------------------
# look for the ini file, this gives us the information at what time the run is done
if args.paramsfile is None:
l = glob.glob(dir + '*.ini')
inifile = l[0]
else:
inifile = args.paramsfile
#------------------------------------------------------------------------------
if not os.path.isfile(dir + 'timesteps_info.t'):
raise ValueError("The file timesteps_info.t has not been found here.")
# load the data file
d = insect_tools.load_t_file(dir + 'timesteps_info.t', verbose=False)
# final time to reach according to paramsfile
T = wabbit_tools.get_ini_parameter(inifile, 'Time', 'time_max', float)
if d[-1, 0] >= 0.99 * T:
# run is done
print('0 (The simulation is done!)')
sys.exit(0)
else:
print('1 (The simulation is not yet complete!)')
sys.exit(1)
print("program = %s%s%s" %
(bcolors.OKBLUE, progfile, bcolors.ENDC))
print("paramsfile = %s%s%s" %
(bcolors.OKBLUE, paramsfile, bcolors.ENDC))
print("memory in call = %s%2.2f%s GB (%s%2.2f%s GB/core)" %
(bcolors.OKBLUE, memory, bcolors.ENDC, bcolors.OKBLUE, memory / ncpu,
bcolors.ENDC))
print("max memory = %s%i%s GB" %
(bcolors.OKBLUE, maxmem, bcolors.ENDC))
print("max memory (safe) = %s%i%s GB" %
(bcolors.OKBLUE, maxmem - 5.0, bcolors.ENDC))
print("ncpu = %s%i%s" % (bcolors.OKBLUE, ncpu, bcolors.ENDC))
print("wtime (jobfile) = %s%i%s sec (%2.2f hours)" %
(bcolors.OKBLUE, wtime, bcolors.ENDC, wtime / 3600.0))
wtime_ini = wabbit_tools.get_ini_parameter(paramsfile, "Time",
"walltime_max", float)
# hours to seconds
wtime_ini *= 3600.0
print("wtime (inifile) = %s%i%s sec (%2.2f hours)" %
(bcolors.OKBLUE, wtime_ini, bcolors.ENDC, wtime_ini / 3600.0))
if auto_resub:
print('RESUBMISSION : %sAutomatic resubmission is ACTIVE%s' %
(bcolors.WARNING, bcolors.ENDC))
else:
print(
'RESUBMISSION : %sAutomatic resubmission is DEACTIVTÀTED!!%s'
% (bcolors.WARNING, bcolors.ENDC))
if memory >= 0.98 * maxmem:
print('Memory check : %sEXCEEDED%s' %
# load the data file
d = insect_tools.load_t_file(dir + 'performance.t', verbose=verbose)
# if we consider only a few time steps, we discard the others:
if args.first_n_time_steps is not None:
d = d[0:args.first_n_time_steps + 1, :]
# if we consider only a few time steps, we discard the others:
if args.last_m_time_steps is not None:
d = d[-args.last_m_time_steps:, :]
# figure out how many RHS evaluatins we do per time step
method = wabbit_tools.get_ini_parameter(inifile,
'Time',
'time_step_method',
str,
default="RungeKuttaGeneric")
# default is one (even though that might be wrong...)
nrhs = 1
if method == "RungeKuttaGeneric":
# this is not always true, but most of the time (butcher_tableau)
nrhs = 4.0
elif method == "RungeKuttaChebychev":
nrhs = wabbit_tools.get_ini_parameter(inifile, 'Time', 's', float)
# if we perform more than one dt on the same grid, this must be taken into account as well
N_dt_per_grid = wabbit_tools.get_ini_parameter(inifile,
'Blocks',
print("program = %s%s%s" %
(bcolors.OKBLUE, progfile, bcolors.ENDC))
print("paramsfile = %s%s%s" %
(bcolors.OKBLUE, paramsfile, bcolors.ENDC))
print("memory in call = %s%2.2f%s GB (%s%2.2f%s GB/core)" %
(bcolors.OKBLUE, memory, bcolors.ENDC, bcolors.OKBLUE, memory / ncpu,
bcolors.ENDC))
print("max memory = %s%i%s GB" %
(bcolors.OKBLUE, maxmem, bcolors.ENDC))
print("max memory (safe) = %s%i%s GB" %
(bcolors.OKBLUE, maxmem - 5.0, bcolors.ENDC))
print("ncpu = %s%i%s" % (bcolors.OKBLUE, ncpu, bcolors.ENDC))
print("wtime (jobfile) = %s%i%s sec (%2.2f hours)" %
(bcolors.OKBLUE, wtime, bcolors.ENDC, wtime / 3600.0))
wtime_ini = wabbit_tools.get_ini_parameter(paramsfile, "Time",
"walltime_max", float)
# hours to seconds
wtime_ini *= 3600.0
print("wtime (inifile) = %s%i%s sec (%2.2f hours)" %
(bcolors.OKBLUE, wtime_ini, bcolors.ENDC, wtime_ini / 3600.0))
if auto_resub:
print('RESUBMISSION : %sAutomatic resubmission is ACTIVE%s' %
(bcolors.WARNING, bcolors.ENDC))
else:
print(
'RESUBMISSION : %sAutomatic resubmission is DEACTIVTÀTED!!%s'
% (bcolors.WARNING, bcolors.ENDC))
if memory >= 0.98 * maxmem:
print('Memory check : %sEXCEEDED%s' %
help='Value for N_tau (default: 20.0)',
default=20.0,
)
args = parser.parse_args()
file = args.file[0]
K_eta = args.Keta[0]
Ntau = args.Ntau
print("K_eta=%f N_tau=%f" % (K_eta, Ntau))
import wabbit_tools
Bs = wabbit_tools.get_ini_parameter(file,
'Blocks',
'number_block_nodes',
vector=True)
Jmax = wabbit_tools.get_ini_parameter(file, 'Blocks', 'max_treelevel')
L = wabbit_tools.get_ini_parameter(file, 'Domain', 'domain_size', vector=True)
nu = wabbit_tools.get_ini_parameter(file, 'ACM-new', 'nu')
dx = L[0] * (2**-Jmax) / (Bs[0] - 1)
C_eta = (K_eta * dx)**2 / nu
import os
command = "replace_ini_value.py " + file + " VPM C_eta %e" % (C_eta)
os.system(command)
use_sponge = wabbit_tools.get_ini_parameter(file,
'Sponge',
inifile = args.paramsfile
# load the data file
d = insect_tools.load_t_file(dir + 'performance.t', verbose=verbose)
tstart = d[0, 0]
tnow = d[-1, 0]
# how many time steps did we already do?
nt_now = d.shape[0]
nt = min(20, nt_now)
if verbose:
print("We found and extract the final time in the simulation from: " +
inifile)
T = wabbit_tools.get_ini_parameter(inifile, 'Time', 'time_max', float)
bs = wabbit_tools.get_ini_parameter(inifile,
'Blocks',
'number_block_nodes',
int,
vector=True)
dim = wabbit_tools.get_ini_parameter(inifile, 'Domain', 'dim', int)
if len(bs) == 1:
npoints = (bs - 1)**dim
else:
npoints = np.product(bs)
# how long did this run run already
runtime = sum(d[:, 2]) / 3600
