<
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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