from compass.model import make_graph_file, run_model
from compass.step import Step
[docs]
class RunModel(Step):
"""
A step for performing forward MALI runs as part of Thwaites test cases.
Attributes
----------
suffixes : list of str, optional
a list of suffixes for namelist and streams files produced
for this step. Most steps most runs will just have a
``namelist.landice`` and a ``streams.landice`` (the default) but
the ``restart_run`` step of the ``restart_test`` runs the model
twice, the second time with ``namelist.landice.rst`` and
``streams.landice.rst``
"""
[docs]
def __init__(self, test_case, name='run_model', depth_integrated=False,
subdir=None, ntasks=1, min_tasks=None, openmp_threads=1,
suffixes=None):
"""
Create a new test case
Parameters
----------
test_case : compass.TestCase
The test case this step belongs to
name : str, optional
the name of the test case
depth_integrated : bool, optional
Whether the (FO) velocity model is depth integrated
subdir : str, optional
the subdirectory for the step. The default is ``name``
ntasks : int, optional
the number of tasks the step would ideally use. If fewer tasks
are available on the system, the step will run on all available
tasks as long as this is not below ``min_tasks``
min_tasks : int, optional
the number of tasks the step requires. If the system has fewer
than this number of tasks, the step will fail
openmp_threads : int, optional
the number of OpenMP threads the step will use
suffixes : list of str, optional
a list of suffixes for namelist and streams files produced
for this step. Most run steps will just have a
``namelist.landice`` and a ``streams.landice`` (the default) but
the ``restart_run`` step of the ``restart_test`` runs the model
twice, the second time with ``namelist.landice.rst`` and
``streams.landice.rst``
"""
if suffixes is None:
suffixes = ['landice']
self.suffixes = suffixes
if min_tasks is None:
min_tasks = ntasks
super().__init__(test_case=test_case, name=name, subdir=subdir,
ntasks=ntasks, min_tasks=min_tasks,
openmp_threads=openmp_threads)
# download and link the mesh
self.mesh_file = 'thwaites.4km.210608.nc'
self.add_input_file(filename=self.mesh_file, target=self.mesh_file,
database='')
for suffix in suffixes:
self.add_namelist_file(
'compass.landice.tests.thwaites', 'namelist.landice',
out_name='namelist.{}'.format(suffix))
self.add_streams_file(
'compass.landice.tests.thwaites', 'streams.landice',
out_name='streams.{}'.format(suffix))
if depth_integrated:
self.add_input_file(filename='albany_input.yaml',
target='albany_input_depthInt.yaml',
package='compass.landice.tests.thwaites',
copy=True)
else:
self.add_input_file(filename='albany_input.yaml',
package='compass.landice.tests.thwaites',
copy=True)
self.add_model_as_input()
self.add_output_file(filename='output.nc')
# no setup() is needed
[docs]
def run(self):
"""
Run this step of the test case
"""
make_graph_file(mesh_filename=self.mesh_file,
graph_filename='graph.info')
for suffix in self.suffixes:
run_model(step=self, namelist='namelist.{}'.format(suffix),
streams='streams.{}'.format(suffix))