xcp_d.interfaces.utils.FilterUndefined

class xcp_d.interfaces.utils.FilterUndefined(from_file=None, resource_monitor=None, **inputs)

Extract timeseries and compute connectivity matrices.

Mandatory Inputs:

inlist (a list of items which are a string) – List of objects to filter.

Outputs:

outlist (a list of items which are a string) – Filtered list of objects.

__init__(from_file=None, resource_monitor=None, **inputs)

Subclasses must implement __init__

Methods

__init__([from_file, resource_monitor])	Subclasses must implement __init__
aggregate_outputs([runtime, needed_outputs])	Collate expected outputs and apply output traits validation.
help([returnhelp])	Prints class help
load_inputs_from_json(json_file[, overwrite])	A convenient way to load pre-set inputs from a JSON file.
run([cwd, ignore_exception])	Execute this interface.
save_inputs_to_json(json_file)	A convenient way to save current inputs to a JSON file.

Attributes

always_run	Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.
can_resume	Defines if the interface can reuse partial results after interruption.
resource_monitor
version	interfaces should implement a version property