legend cluster_0 Data cluster_1 Sub-dispatcher cluster_2 Edges cluster_3 Functions cluster_4 Warnings and Errors cluster_5 Special Nodes 663 <data_id>(Data) default Default value. initial_dist Initial distance from `START` node. wait_inputs Wait all data estimations? `<bool>` await_result Wait async for function result? `<bool>` distance Distance from `START` node. function Process data function `data = f({"<node name>": data})`. filter x Filter function x used in the loop `for f in filters: data = f(data)`. input_filter 0 Result of the function. output_filter x Result of filters[x](`input_filter x` | `output_filter x-1`). remote parent x Link to a node of the parent dispatcher. remote child x Link to a node ot a child dispatcher. 682 Data node. The current one is a sample showing the main attributes. 663->682 664 <dispatcher_id>(Dispatcher) await_domain Wait async for domain result? `<bool>` input_domain Domain function `f(**inputs)`. solution_domain Domain function result. weight Distance weight coeff. distance Distance from `START` node. 689 Sub-dispatcher node. It connects a given dispatcher to the current one. The current node one is a sample showing the main attributes. 664->689 665->675 <from> --> <to> inp_id Index of input args. out_id Index of output list. weight Edge distance. This is an edge sample showing the main attributes. 666 <function_id>(DispatchPipe) 686 DispatchPipe node. It behaves like a SubDispatchPipe node, but it overwrites its solution. 666->686 667 <function_id>(Function) await_domain Wait async for domain result? `<bool>` await_result Wait async for function result? `<bool>` input_domain Domain function `f(*inputs)`. solution_domain Domain function result. weight Distance weight coeff. filter x Filter function x used in the loop `for f in filters: output = f(output)`. input_filter 0 Result of the function. output_filter x Result of filters[x](`input_filter x` | `output_filter x-1`). distance Distance from `START` node. started Execution started time. duration Time elapsed to execute the function. 695 Function node. The current one is a sample showing the main attributes. 667->695 668 <function_id>(MapDispatch) 698 MapDispatch node. It wraps and executes iteratively a given Dispatcher into a function. Hence, it behaves like a `map` function. 668->698 669 <function_id>(SubDispatch) 697 SubDispatch node. It wraps a given Dispatcher into a function. Inputs are dictionaries {<node_id>: <value>}. 669->697 670 <function_id>(SubDispatchFunction) 684 SubDispatchFunction node. It wraps and shrink a given Dispatcher into a function. Hence, it behaves like a function. 670->684 671 <function_id>(SubDispatchPipe) 685 SubDispatchPipe node. It wraps and compiles a given Dispatcher into a function. Hence, it behaves like a function. 671->685 672 <function_id>(run_model) 696 run_model node. It calls the first argument - i.e. the model. If the model produces a the workflow, this is added to the parent workflow. First argument is a callable. 672->696 673 <node_id>(Error) error Error message. 687 Node that raised an error during its execution. 673->687 674 <node_id>(Warning) M_inputs ('missing inputs',) M_outputs ('missing outputs',) 688 Node that did not return all inputs/outputs. 674->688 676 empty 683 Empty dispatcher/workflow. 676->683 677 end 691 Ending node of SubDispatcherFunction. It collects the function's outputs. 677->691 678 plot 694 Plot node. When invoked, it plots the dispatcher solution. 678->694 679 self 693 Self node of the plotted dispatcher. It represents the dispatcher as data node. 679->693 680 sink 692 Sink node. It collects all unused outputs. 680->692 681 start 690 Starting node. It identifies the initial inputs. 681->690