# Choose the first hit to get the value from (again we assume
# that the value does not contain a _)
value_start = hits[0] + len(scan_parameter) + 1
# Here we assume that the value is not separated by an
# underscore
values[scan_parameter] = dmp_folder[value_start:].split("_")[0]
# Insert the values
restart_from = restart_template.format(values)
return restart_from
#}}}
# Initial runs
# ===========================================================================
init_run = PBS_runner(additional = scan)
dmp_folder, PBS_ids =\
init_run.execute_runs()
one_of_the_restart_paths_in_scan = dmp_folder[0]
# ===========================================================================
# Restart the scan
# ===========================================================================
restart_run = PBS_runner(nout = 5 ,\
restart = "overwrite" ,\
restart_from = restart_from_func,\
additional = scan ,\
)
"""Driver which runs 3D_diffusion by submitting a job to a PBS using
additional options."""
from bout_runners.bout_runners import PBS_runner
my_runs = PBS_runner(\
# Although nproc is a member of basic_runner, it is used
# together with BOUT_nodes and BOUT_ppn
nproc = 4,\
# Number of nodes to be used on the cluster
BOUT_nodes = 1,\
# Specifying processor per node
BOUT_ppn = 4,\
# The maximum walltime of the run
BOUT_walltime = '0:15:00',\
# Specify the queue to submit to (if any)
BOUT_queue = None,\
# Specify a mail to be noticed when the run has finished
BOUT_mail = None\
)
# Put this in the post-processing function
my_runs.execute_runs(remove_old=True)
my_runs = PBS_runner(\
# Specify the numbers used for the BOUT runs
nproc = 4,\
BOUT_nodes = 1,\
BOUT_ppn = 4,\
BOUT_walltime = '0:15:00',\
BOUT_queue = None,\
BOUT_mail = None,\
# Specify the numbers used for the post processing
post_process_nproc = 1,\
post_process_nodes = 1,\
post_process_ppn = 1,\
post_process_walltime = '0:05:00',\
post_process_queue = None,\
post_process_mail = None,\
# Set the directory
directory = 'MMS',\
# Set the time domain
nout = 1,\
timestep = 1,\
# Set mms to true
mms = True,\
# Set the spatial domain
grid_file = grid_files,\
# Set the flag in 3D_diffusion that a grid file will be
# used
additional = ('flags','use_grid','true'),\
# Add some additional option
series_add = [('cst','D_par',[1,2]),\
('cst','D_perp',[0.5,1])],\
# Copy the grid file
cpy_grid = True,\
# Sort the runs by the spatial domain
sort_by = 'grid_file'
)
value_start = hits[0] + len(scan_parameter) + 1
# Here we assume that the value is not separated by an
# underscore
values[scan_parameter] = dmp_folder[value_start:].split("_")[0]
# Insert the values
restart_from = restart_template.format(values)
return restart_from
#}}}
# Initial runs
# ===========================================================================
init_run = PBS_runner(additional=scan)
dmp_folder, PBS_ids =\
init_run.execute_runs()
one_of_the_restart_paths_in_scan = dmp_folder[0]
# ===========================================================================
# Restart the scan
# ===========================================================================
restart_run = PBS_runner(nout = 5 ,\
restart = "overwrite" ,\
restart_from = restart_from_func,\
additional = scan ,\
)
#!/usr/bin/env python
"""Driver which runs 3D_diffusion by submitting a job to a PBS using
additional options."""
from bout_runners.bout_runners import PBS_runner
my_runs = PBS_runner(\
# Although nproc is a member of basic_runner, it is used
# together with BOUT_nodes and BOUT_ppn
nproc = 4,\
# Number of nodes to be used on the cluster
BOUT_nodes = 1,\
# Specifying processor per node
BOUT_ppn = 4,\
# The maximum walltime of the run
BOUT_walltime = '0:15:00',\
# Specify the queue to submit to (if any)
BOUT_queue = None,\
# Specify a mail to be noticed when the run has finished
BOUT_mail = None\
)
# Put this in the post-processing function
my_runs.execute_runs(remove_old = True)
my_runs = PBS_runner(\
# Specify the numbers used for the BOUT runs
nproc = 4,\
BOUT_nodes = 1,\
BOUT_ppn = 4,\
BOUT_walltime = '0:15:00',\
BOUT_queue = None,\
BOUT_mail = None,\
# Specify the numbers used for the post processing
post_process_nproc = 1,\
post_process_nodes = 1,\
post_process_ppn = 1,\
post_process_walltime = '0:05:00',\
post_process_queue = None,\
post_process_mail = None,\
# Set the directory
directory = 'MMS',\
# Set the time domain
nout = 1,\
timestep = 1,\
# Set mms to true
mms = True,\
# Set the spatial domain
grid_file = grid_files,\
# Set the flag in 3D_diffusion that a grid file will be
# used
additional = ('flags','use_grid','true'),\
# Add some additional option
series_add = [('cst','D_par',[1,2]),\
('cst','D_perp',[0.5,1])],\
# Copy the grid file
cpy_grid = True,\
# Sort the runs by the spatial domain
sort_by = 'grid_file'
)
#!/usr/bin/env python """Driver which runs 3D_diffusion by submitting a job to a Portable Batch System (PBS)""" from bout_runners.bout_runners import PBS_runner my_runs = PBS_runner() my_runs.execute_runs()
#!/usr/bin/env python """Driver which runs 3D_diffusion by submitting a job to a Portable Batch System (PBS)""" from bout_runners.bout_runners import PBS_runner my_runs = PBS_runner() my_runs.execute_runs()
