Let say I have a graph where the nodes is stored in a sorted list. I now want to topological sort this graph while keeping the original order where the topological order is
Interpreting "stable topological sort" as a linearization of a DAG such that ranges in the linearization where the topological order doesn't matter, are sorted lexicographically. This can be solved with the DFS method of linearization, with the modification that nodes are visited in lexicographical order.
I have a Python Digraph class with a linearization method which looks like this:
def linearize_as_needed(self):
if self.islinearized:
return
# Algorithm: DFS Topological sort
# https://en.wikipedia.org/wiki/Topological_sorting#Depth-first_search
temporary = set()
permanent = set()
L = [ ]
def visit(vertices):
for vertex in sorted(vertices, reverse=True):
if vertex in permanent:
pass
elif vertex in temporary:
raise NotADAG
else:
temporary.add(vertex)
if vertex in self.arrows:
visit(self.arrows[vertex])
L.append(vertex)
temporary.remove(vertex)
permanent.add(vertex)
# print('visit: {} => {}'.format(vertices, L))
visit(self.vertices)
self._linear = list(reversed(L))
self._iter = iter(self._linear)
self.islinearized = True
Here
self.vertices
is the set of all vertices, and
self.arrows
holds the adjacency relation as a dict of left nodes to sets of right nodes.