Python Graphlib Module is_active( )
In the previous article, we have discussed about prepare( ) method
In this article, we are going to discuss more methods in Graphlib module.
is_active( ):
-> This method returns true if more progress can be made and False otherwise.
-> Progress can be made if cycles do not block the resolution.
-> Progress can also be made if there are still nodes ready that have not returned by TopologicalSorter.get_ready( ) or the number of nodes marked TopologicalSorter.done( ) is less than the number that have been returned by TopologicalSorter.get_ready( ).
Example:
from graphlib import TopologicalSorter
toposort = TopologicalSorter()
toposort.add(7,8,2)
toposort.add(9,5,6)
toposort.add(1,3,4)
toposort.prepare()
if toposort.is_active():
print("Progress can be made")
else:
print("Progress cannot be made")
Output:
Progress can be made
->It raises ValueError if prepare( ) funtion is not called previously.
from graphlib import TopologicalSorter
toposort = TopologicalSorter()
toposort.add(3,2,4)
toposort.is_active()
Output:
Traceback (most recent call last):
File "C:\Users\findm\AppData\Local\Programs\Python\Python39\graphlib.py", line 8, in <module>
toposort.is_active()
File "C:\Users\findm\AppData\Local\Programs\Python\Python39\lib\graphlib.py", line 143, in is_active
raise ValueError("prepare() must be called first")
ValueError: prepare() must be called first
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