#10432: is_directed_acyclic is Cython (--> without NetworX) and its certificates
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Reporter: ncohen | Owner: jason, ncohen, rlm
Type: enhancement | Status: needs_work
Priority: major | Milestone: sage-4.6.1
Component: graph theory | Keywords:
Author: Nathann Cohen | Upstream: N/A
Reviewer: | Merged:
Work_issues: |
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Changes (by ncohen):
* status: new => needs_work
Old description:
> This patch contains an Cython implementation of a method testing whether
> a given digraph is acyclic. If it is, the method returns a topological
> sort, and returns a circuit otherwise. The method is then called through
> current Sage methods which relied on NetworkX
>
> Nathann
New description:
This patch contains an Cython implementation of a method testing whether a
given digraph is acyclic. If it is, the method returns a topological sort,
and returns a circuit otherwise. The method is then called through current
Sage methods which relied on NetworkX
{{{
#!python
def random_acyclic(n, p):
... g = graphs.RandomGNP(n, p)
... h = DiGraph()
... h.add_edges([ ((u,v) if u<v else (v,u)) for u,v,_ in g.edges() ])
... return h
}}}
Before :
{{{
#!python
sage: g = random_acyclic(100, .2)
sage: %timeit g.is_directed_acyclic()
125 loops, best of 3: 6.54 ms per loop
sage: g = random_acyclic(100, .2)
sage: %timeit g.is_directed_acyclic()
125 loops, best of 3: 6.79 ms per loop
sage: g = random_acyclic(100, .2)
sage: %timeit g.is_directed_acyclic()
125 loops, best of 3: 6.72 ms per loop
sage: g = random_acyclic(100, .2)
sage: %timeit g.is_directed_acyclic()
125 loops, best of 3: 6.96 ms per loop
}}}
After :
{{{
#!python
g = random_acyclic(100, .2)
%timeit g.is_directed_acyclic()
}}}
Nathann
--
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/10432#comment:1>
Sage <http://www.sagemath.org>
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