Well, this seems to be due to another part of the file, I got a MWE to
work, so I guess I will figure it out.
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Ah, this looks good!
Interestingly, while this works in the sage notebook, changing it in the
module results in an
sage: from sage.crypto.linearlayer import LinearLayerFactory
sage: LinearLayerFactory(GF(2))(MatrixSpace(GF(2), 2, 2), [1,0,0,1])
Hi Friedrich,
I was thinking maybe something like this:
from sage.matrix.matrix_mod2_dense import Matrix_mod2_dense,
from sage.matrix.matrix_gf2e_dense import Matrix_gf2e_dense
class LinearLayer:
def foo(self):
return self[0, 1]
def LinearLayerFactory(K):
if K.characteristic()
Hi,
I worked on an implementation of linear layers (basically a matrix over
GF(2) or GF(2^n) with some special methods) in the crypto module during the
sage days 94 and came up with this: #25735.
Martin commented that it might make sense to just inherit from an
appropriate matrix class, to
