#12103: Use MeatAxe as an optional back end for dense matrices over `GF(p^n)`, p
odd, n>1, `p^n<255`
-------------------------------------+-------------------------------------
       Reporter:  SimonKing          |        Owner:  jason, was
           Type:  defect             |       Status:  needs_work
       Priority:  major              |    Milestone:  sage-6.4
      Component:  packages:          |   Resolution:
  experimental                       |    Merged in:
       Keywords:  linear algebra,    |    Reviewers:
  MeatAxe                            |  Work issues:
        Authors:  Simon King         |       Commit:
Report Upstream:  None of the above  |  2e6425793607152a39296a95c5c50f63cf796dea
  - read trac for reasoning.         |     Stopgaps:
         Branch:                     |
  u/SimonKing/meataxe                |
   Dependencies:  #19240             |
-------------------------------------+-------------------------------------

Comment (by SimonKing):

 With the new commits, there is full doctest coverage for the !MeatAxe
 wrapper. Both
 {{{
 sage -t --optional=sage,meataxe src/sage/matrix/matrix_gfpn_dense.pyx
 }}}
 and
 {{{
 sage -t src/sage/matrix/matrix_gfpn_dense.pyx
 }}}
 pass.

 Moreover, as I have announced above, I can now handle errors in !MeatAxe.

 Another change: I have removed the `__pow__` method: The default `__pow__`
 method automatically uses Strassen multiplication and is thus faster than
 the previous method, which called !MeatAxe's `MatPower` (which doesn't use
 Strassen).

 Probably I have to work on several doctests in other files: All tests
 depending on a random matrix may fail with meataxe, thus, for these cases
 I need to force usage of `Matrix_generic_dense`.

--
Ticket URL: <http://trac.sagemath.org/ticket/12103#comment:130>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, 
and MATLAB

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