polaris.tasks.mesh.spherical.unified.coastline.ComputeCoastlineStep

class polaris.tasks.mesh.spherical.unified.coastline.ComputeCoastlineStep(component, combine_step, subdir)[source]

Prepare coastline masks and signed-distance fields on a lat-lon grid.

__init__(component, combine_step, subdir)[source]

Create a new step.

Parameters:

Methods

__init__(component, combine_step, subdir)

Create a new step.

add_dependency(step[, name])

Add step as a dependency of this step (i.e. this step can't run until the dependency has finished).

add_input_file([filename, target, database, ...])

Add an input file to the step (but not necessarily to the MPAS model).

add_output_file(filename[, validate_vars, ...])

Add the output file to the step

add_property_check(filename, check_properties)

Add a single conservation comparison for an output file

check_properties()

Check conservation properties of the output files of this step.

constrain_resources(available_resources)

Constrain cpus_per_task and ntasks based on the number of cores available to this step

process_inputs_and_outputs()

Process the inputs to and outputs from a step added with polaris.Step.add_input_file() and polaris.Step.add_output_file().

run()

Run this step.

runtime_setup()

Update attributes of the step at runtime before calling the run() method.

set_resources([cpus_per_task, ...])

Update the resources for the subtask.

set_shared_config(config[, link])

Replace the step's config parser with the shared config parser

setup()

Set up the step in the work directory, including linking inputs.

validate_baselines()

Compare variables between output files in this step and in the same step from a baseline run if one was provided.

work_path(*filenames)

Get the absolute path to a file or directory in the step's work directory

Attributes

cores

the number of cores this step needs, in total

gpus

the number of GPUs this step needs, in total

may_span_nodes

whether this step's cores and GPUs may come from several nodes

min_cores

the number of cores this step needs in order to run at all

min_gpus

the number of GPUs this step requires, in total