matflow.OutputLabel#

class matflow.OutputLabel(parameter, label, where=None)#

Bases: OutputLabel

Schema input labels that should be applied to a subset of task outputs.

Parameters:
  • parameter (str) – Name of a parameter.

  • label (str) – Label to apply to the parameter.

  • where (ElementFilter) – Optional filtering rule

Methods

from_json_like

Make an instance of this class from JSON (or YAML) data.

to_dict

Serialize this object as a dictionary.

to_json_like

Serialize this object as an object structure that can be trivially converted to JSON.

Attributes

app

parameter

Name of a parameter.

label

Label to apply to the parameter.

where

Filtering rule.

app = App(name='MatFlow', version='0.3.0a132')#
classmethod from_json_like(json_like, shared_data=None)#

Make an instance of this class from JSON (or YAML) data.

Parameters:
  • json_like (Union[Dict, List]) – The data to deserialise.

  • shared_data (Optional[Dict[str, ObjectList]]) – Shared context data.

Return type:

The deserialised object.

label#

Label to apply to the parameter.

parameter#

Name of a parameter.

to_dict()#

Serialize this object as a dictionary.

to_json_like(dct=None, shared_data=None, exclude=None, path=None)#

Serialize this object as an object structure that can be trivially converted to JSON. Note that YAML can also be produced from the result of this method; it just requires a different final serialization step.

where#

Filtering rule.