#12453: Refactor integer vectors using ClonableIntArray Cython data structure
-------------------------------------+-------------------------------------
       Reporter:  nborie             |        Owner:  nborie
           Type:  enhancement        |       Status:  needs_review
       Priority:  major              |    Milestone:  sage-6.2
      Component:  combinatorics      |   Resolution:
       Keywords:  Integer, vectors,  |    Merged in:
  cython, clone, Cernay2012          |    Reviewers:
        Authors:  Travis Scrimshaw   |  Work issues:
Report Upstream:  N/A                |       Commit:
         Branch:                     |  3008ee6a34c023370071bfe1fb324f2b479462ed
  public/refactor_integer_vectors-12453|     Stopgaps:
   Dependencies:  #10193 #14101      |
-------------------------------------+-------------------------------------

Comment (by ncohen):

 Before this branch
 {{{
 sage: %time _=list(IntegerVectors(5,22))
 CPU times: user 1.78 s, sys: 8 ms, total: 1.78 s
 Wall time: 1.81 s
 }}}

 After the branch
 {{{
 sage: %time _=list(IntegerVectors(5,22))
 CPU times: user 19.3 s, sys: 60 ms, total: 19.4 s
 Wall time: 19.6 s
 }}}

 With a 5-lines code
 {{{
 from itertools import combinations
 def integervectors(n,k):
     L = n+k-1
     for x in combinations(range(L),k-1):
         l = [x[i] - x[i-1]-1 for i in range(1,k-1)]
         l.insert(0,x[0])
         l.append(L-x[-1]-1)
         yield l

 sage: %time _=list(integervectors(5,22))
 CPU times: user 492 ms, sys: 16 ms, total: 508 ms
 Wall time: 515 ms
 }}}

 I think this can be classified as a severe regression. Besides,  it is
 probably better to avoid this kind of stuff present in your branch:

 {{{
 for c in IntegerVectors(self.size - k, i-1):
     c = list(c)
 }}}

 If you only want the data, don't generate complex objects in the first
 place.

 Nathann

--
Ticket URL: <http://trac.sagemath.org/ticket/12453#comment:13>
Sage <http://www.sagemath.org>
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