This adds an 'order' keyword to select the memory layout of the
resulting array when using toarray() to create a dense array
from a sparse matrix type. The default remains a C-contiguous
array. Tests are also updated to test both the default and
explicit 'C' and 'F' modes.

Generated output of SWIG will follow in a separate commit, so
that this one can be easily cherry-picked if what I generated
is unsatisfactory.

This adds an 'order' keyword to select the memory layout of the
resulting object when using todense() to create a numpy matrix
object from a sparse matrix type, similarly to the previous
change to toarray(). The default remains a C-contiguous
matrix. Tests are also updated to test both the default and
explicit 'C' and 'F' modes.

Generated output of SWIG will follow in a separate commit, so
that this one can be easily cherry-picked if what I generated
is unsatisfactory.

This commit contains SWIG-generated code only.

Mutually exclusive to the previously added 'order=' argument, this
should serve the same crowd, i.e. people who occasionally need a dense
copy of their sparse matrix but *really* can't afford to be allocating
an array that size over and over again. Refactored a bit into the base
class so as to not duplicate code between lil.py and coo.py.

Tests included.

This matches the new argument in the array version, toarray(). out is
not required to be a numpy.matrix but is wrapped in one upon return.