pyiron_workflow.transformers module

class pyiron_workflow.transformers.Transform1toN(n: int)[source]

Bases: object

input_label: ClassVar[Annotated[str, BeforeValidator(func=_validate_label, json_schema_input_type=PydanticUndefined)]] = 'items'

static iterable_to_outputs(items, /)[source]

node(label: Annotated[str, BeforeValidator(func=_validate_label, json_schema_input_type=PydanticUndefined)]) → Atomic[source]

static output_label(i: int) → Annotated[str, BeforeValidator(func=_validate_label, json_schema_input_type=PydanticUndefined)][source]

property recipe: AtomicRecipe

class pyiron_workflow.transformers.TransformNto1(n: int)[source]

Bases: object

static input_label(i: int) → Annotated[str, BeforeValidator(func=_validate_label, json_schema_input_type=PydanticUndefined)][source]

static inputs_to_list(*items)[source]

node(label: Annotated[str, BeforeValidator(func=_validate_label, json_schema_input_type=PydanticUndefined)]) → Atomic[source]

output_label: ClassVar[Annotated[str, BeforeValidator(func=_validate_label, json_schema_input_type=PydanticUndefined)]] = 'output_0'

property recipe: AtomicRecipe