legend cluster_0 Data cluster_1 Sub-dispatcher cluster_2 Edges cluster_3 Functions cluster_4 Warnings and Errors cluster_5 Special Nodes 1005 <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. 1024 Data node. The current one is a sample showing the main attributes. 1005->1024 1006 <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. 1031 Sub-dispatcher node. It connects a given dispatcher to the current one. The current node one is a sample showing the main attributes. 1006->1031 1007->1017 <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. 1008 <function_id>(DispatchPipe) 1028 DispatchPipe node. It behaves like a SubDispatchPipe node, but it overwrites its solution. 1008->1028 1009 <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. 1037 Function node. The current one is a sample showing the main attributes. 1009->1037 1010 <function_id>(MapDispatch) 1040 MapDispatch node. It wraps and executes iteratively a given Dispatcher into a function. Hence, it behaves like a `map` function. 1010->1040 1011 <function_id>(SubDispatch) 1039 SubDispatch node. It wraps a given Dispatcher into a function. Inputs are dictionaries {<node_id>: <value>}. 1011->1039 1012 <function_id>(SubDispatchFunction) 1026 SubDispatchFunction node. It wraps and shrink a given Dispatcher into a function. Hence, it behaves like a function. 1012->1026 1013 <function_id>(SubDispatchPipe) 1027 SubDispatchPipe node. It wraps and compiles a given Dispatcher into a function. Hence, it behaves like a function. 1013->1027 1014 <function_id>(run_model) 1038 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. 1014->1038 1015 <node_id>(Error) error Error message. 1029 Node that raised an error during its execution. 1015->1029 1016 <node_id>(Warning) M_inputs ('missing inputs',) M_outputs ('missing outputs',) 1030 Node that did not return all inputs/outputs. 1016->1030 1018 empty 1025 Empty dispatcher/workflow. 1018->1025 1019 end 1033 Ending node of SubDispatcherFunction. It collects the function's outputs. 1019->1033 1020 plot 1036 Plot node. When invoked, it plots the dispatcher solution. 1020->1036 1021 self 1035 Self node of the plotted dispatcher. It represents the dispatcher as data node. 1021->1035 1022 sink 1034 Sink node. It collects all unused outputs. 1022->1034 1023 start 1032 Starting node. It identifies the initial inputs. 1023->1032