Source code for compass.ocean.tests.baroclinic_channel.forward

from compass.model import run_model
from compass.step import Step


[docs] class Forward(Step): """ A step for performing forward MPAS-Ocean runs as part of baroclinic channel test cases. Attributes ---------- resolution : str The resolution of the test case """
[docs] def __init__(self, test_case, resolution, name='forward', subdir=None, ntasks=1, min_tasks=None, openmp_threads=1, nu=None): """ Create a new test case Parameters ---------- test_case : compass.TestCase The test case this step belongs to resolution : str The resolution of the test case name : str the name of the test case 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 nu : float, optional the viscosity (if different from the default for the test group) """ self.resolution = resolution 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) self.add_namelist_file('compass.ocean.tests.baroclinic_channel', 'namelist.forward') self.add_namelist_file('compass.ocean.tests.baroclinic_channel', 'namelist.{}.forward'.format(resolution)) if nu is not None: # update the viscosity to the requested value options = {'config_mom_del2': '{}'.format(nu)} self.add_namelist_options(options) # make sure output is double precision self.add_streams_file('compass.ocean.streams', 'streams.output') self.add_streams_file('compass.ocean.tests.baroclinic_channel', 'streams.forward') self.add_input_file(filename='init.nc', target='../initial_state/ocean.nc') self.add_input_file(filename='graph.info', target='../initial_state/culled_graph.info') 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 """ run_model(self)