TenetoWorkflow

class TenetoWorkflow(remove_nonterminal_output=True)

Bases: object

Methods Summary

add_node(nodename, func[, depends_on, params])	Adds a node to the workflow graph.
calc_runorder()	Calculate the run order of the different nodes on the graph.
delete_output_from_level(level)	Delete the output found after calling TenetoWorkflow.run().
make_workflow_figure([fig, ax])	Creates a figure depicting the workflow figure.
remove_node(nodename)	Remove a node from the graph.
run()	Runs the entire graph.

Methods Documentation

add_node(nodename, func, depends_on=None, params=None)

Adds a node to the workflow graph.

Parameters:

• nodename (str) – Name of the node
• func (str) – The function that is to be called. The alternatives here are ‘TemporalNetwork’ or ‘TenetoBIDS’, or any of the functions that can be called within these classes.
• depends_on (str) – which step the node depends on. If empty, is considered to preceed the previous step. If ‘isroot’ is specified, it is considered an input variable.
• params (dict) – Parameters that are passed into func.

Note

These functions are not run until TenetoWorkflow.run() is called.

calc_runorder()

Calculate the run order of the different nodes on the graph.

delete_output_from_level(level)

Delete the output found after calling TenetoWorkflow.run().

make_workflow_figure(fig=None, ax=None)

Creates a figure depicting the workflow figure.

Parameters:

• fig (matplotlib) –
• ax (matplotlib) –
• fig is used as input, ax should be too. (if) –

Returns:

fig, ax – matplotlib figure and axis

Return type:

matplotlib

remove_node(nodename)

Remove a node from the graph.

Parameters:nodename (str) – Name of node that is to be removed.

run()

Runs the entire graph.