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