hpcflow.app.ValuePerturbation#

class hpcflow.app.ValuePerturbation(name, path=None, multiplicative_factor=1, additive_factor=0)#

A perturbation applied to a value.

Methods

`from_json_like`	Make an instance of this class from JSON (or YAML) data.
`from_spec`	Construct an instance from a specification dictionary.
`make_persistent`	Save value to a persistent workflow.
`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

`additive_factor`	The additive factor to apply.
`app`
`multiplicative_factor`	The multiplicative factor to apply.
`path`	The path to the value(s) to perturb.
`value`	The value itself.
`workflow`	The workflow containing this input value.
`name`	The name of this perturbation.

Parameters:

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.

classmethod from_spec(spec)#: Construct an instance from a specification dictionary.

make_persistent(workflow, source)#

Save value to a persistent workflow.

Returns:

Parameters:

Return type:

Tuple[str, List[int], bool]

multiplicative_factor: Numeric | None = 1#: The multiplicative factor to apply.

path: Sequence[str | int | float] | None = None#: The path to the value(s) to perturb.

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.