matflow.SchemaInput#

class matflow.SchemaInput(parameter, multiple=False, labels=None, default_value=NullDefault.NULL, propagation_mode=ParameterPropagationMode.IMPLICIT, group=None)#

Bases: SchemaInput

A Parameter as used within a particular schema, for which a default value may be applied.

Parameters:

parameter (app.Parameter) – The parameter (i.e. type) of this schema input.
multiple (bool) – If True, expect one or more of these parameters defined in the workflow, distinguished by a string label in square brackets. For example p1[0] for a parameter p1.
labels (Optional[Dict]) – Dict whose keys represent the string labels that distinguish multiple parameters if multiple is True. Use the key “*” to mean all labels not matching other label keys. If multiple is False, this will default to a single-item dict with an empty string key: {“”: {}}. If multiple is True, this will default to a single-item dict with the catch-all key: {“*”: {}}. On initialisation, remaining keyword-arguments are treated as default values for the dict values of labels.
default_value (Optional[Union[app.InputValue, NullDefault]]) – The default value for this input parameter. This is itself a default value that will be applied to all labels values if a “default_value” key does not exist.
propagation_mode (ParameterPropagationMode) – Determines how this input should propagate through the workflow. This is a default value that will be applied to all labels values if a “propagation_mode” key does not exist. By default, the input is allowed to be used in downstream tasks simply because it has a compatible type (this is the “implicit” propagation mode). Other options are “explicit”, meaning that the parameter must be explicitly specified in the downstream task input_sources for it to be used, and “never”, meaning that the parameter must not be used in downstream tasks and will be inaccessible to those tasks.
group (Optional[str]) – Determines the name of the element group from which this input should be sourced. This is a default value that will be applied to all labels if a “group” key does not exist.

Methods

`from_json_like`
`labelled_info`
`to_dict`
`to_json_like`

Attributes

`all_labelled_types`
`app`
`default_value`
`input_or_output`
`name`
`single_label`
`single_labelled_data`
`single_labelled_type`
`task_schema`
`typ`

property all_labelled_types#

app = App(name='MatFlow', version='0.3.0a129')#

property default_value#

classmethod from_json_like(json_like, shared_data=None)#

property input_or_output#

labelled_info()#

property name#

property single_label#

property single_labelled_data#

property single_labelled_type#

property task_schema#

to_dict()#

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

property typ#