:class:`Flow` ============= .. py:class:: ansys.sam.sysml2.meta_model.flow.Flow(element_id: str) Bases: :py:obj:`ansys.sam.sysml2.meta_model.connector.Connector`, :py:obj:`ansys.sam.sysml2.meta_model.step.Step` Java class 'com.ansys.metamodel.sysml2.Flow'. .. !! processed by numpydoc !! .. py:currentmodule:: Flow Overview -------- .. tab-set:: .. tab-item:: Properties .. list-table:: :header-rows: 0 :widths: auto * - :py:attr:`~flow_end` - Get the flow end property. * - :py:attr:`~interaction` - Get the interaction property. * - :py:attr:`~payload_feature` - Get the payload feature property. * - :py:attr:`~payload_type` - Get the payload type property. * - :py:attr:`~source_output_feature` - Get the source output feature property. * - :py:attr:`~target_input_feature` - Get the target input feature property. Import detail ------------- .. code-block:: python from ansys.sam.sysml2.meta_model.flow import Flow Property detail --------------- .. py:property:: flow_end :type: list[FlowEnd] Get the flow end property. :Returns: :class:`python:list`\["FlowEnd"] Value of property flow end. .. !! processed by numpydoc !! .. py:property:: interaction :type: list[Interaction] Get the interaction property. :Returns: :class:`python:list`\["Interaction"] Value of property interaction. .. !! processed by numpydoc !! .. py:property:: payload_feature :type: PayloadFeature Get the payload feature property. :Returns: "PayloadFeature" Value of property payload feature. .. !! processed by numpydoc !! .. py:property:: payload_type :type: list[Classifier] Get the payload type property. :Returns: :class:`python:list`\["Classifier"] Value of property payload type. .. !! processed by numpydoc !! .. py:property:: source_output_feature :type: Feature Get the source output feature property. :Returns: "Feature" Value of property source output feature. .. !! processed by numpydoc !! .. py:property:: target_input_feature :type: Feature Get the target input feature property. :Returns: "Feature" Value of property target input feature. .. !! processed by numpydoc !!