#20253: bug in strongly connected test for static digraphs
-------------------------------------+------------------------
       Reporter:  vdelecroix         |        Owner:
           Type:  defect             |       Status:  new
       Priority:  major              |    Milestone:  sage-7.2
      Component:  graph theory       |   Resolution:
       Keywords:  bug                |    Merged in:
        Authors:  Vincent Delecroix  |    Reviewers:
Report Upstream:  N/A                |  Work issues:
         Branch:                     |       Commit:
   Dependencies:                     |     Stopgaps:
-------------------------------------+------------------------
Changes (by {'newvalue': u'Vincent Delecroix', 'oldvalue': ''}):

 * author:   => Vincent Delecroix


Old description:

> Using the strongly connected graph from [https://graph-
> tool.skewed.de/performance this page] I got
> {{{
> sage: import networkx
> sage: g = networkx.read_graphml("pgp.xml")
> sage: networkx.is_strongly_connected(g)
> True
> sage: G = DiGraph(g)
> sage: G.is_strongly_connected()
> True
> }}}
> But the test goes wrong with the static sparse backend
> {{{
> sage: G2 = DiGraph(g, immutable=True)
> sage: G2.is_strongly_connected()
> False
> sage: G == G2
> True
> }}}

New description:

 {{{
 sage: G = DiGraph([(0,1),(1,0)])
 sage: G2 = G.copy(immutable=True)
 sage: G2.is_strongly_connected()
 False
 }}}

 The problem comes from bad initialization of some attributes in static
 sparse backend. We add two lines to fix this problem. We also deprecate
 four methods of `CGraph` to simplify its usage (namely `_in_degree`,
 `_out_degree`, `_num_verts`, `_num_arcs`).

--

--
Ticket URL: <http://trac.sagemath.org/ticket/20253#comment:5>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, 
and MATLAB

-- 
You received this message because you are subscribed to the Google Groups 
"sage-trac" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To post to this group, send email to [email protected].
Visit this group at https://groups.google.com/group/sage-trac.
For more options, visit https://groups.google.com/d/optout.

Reply via email to