You can't inherit from both dense and sparse, but you can probably create a
PoolingMatrix class that doesn't inherit from either then a
PoolingMatrix_dense and PoolingMatrix_sparse that inherit from both the
relevant matrix class and your generic PoolingMatrix class.
David
On Thu, Jun 6, 2013 at
But there's always another problem right?
I need to prepare to use some pretty big matrices, so I'd like to make
Pooling_Matrix be a subclass of either
- sage.matrix.matrix_integer_dense.Matrix_integer_dense,
if the call is through Pooling_Matrix(parent, entries, copy, coerce)
where p
Thanks David, I am getting the following to work.
def make_pool(data):
rows = len(data)
cols = len(data[0])
parent_arg = parent(matrix(ZZ, data))
return Pool(parent_arg, flatten(data), False, False)
class Pool(sage.matrix.matrix_integer_dense.Matrix_integer_dense):
def __init_
The issue is that Matrix_integer_dense has a __cinit__ method, which means
that all subclasses must conform to the same inputs for their __init__
methods. So you need to do
def __init__(self, parent, entries, coerce, copy):
sage.matrix.matrix_integer_dense.Matrix_integer_dense.__init_
Here is a kluge that is closer to what I want. Can be copied into and run
in a Sage cell. The deficiency in the construction is on lines 6-8 (within
commented section).
class PoolingMatrix(sage.matrix.matrix_integer_dense.Matrix_integer_dense):
# Example construction:
#a = matrix(Z
Thanks for the responses. Probably the answer is I don't know what
__init__ method to call within the inheriting __init__ method.
Maybe I'd like to say:
class PoolingMatrix(parent_class):
def __init__(self, ring_arg, 2D_list_arg):
parent_class.__init__(self, ring_arg, 2D_list_arg)
Are you calling some_matrix_thingy.__init__ inside your __init__ method?
David
On Tue, Jun 4, 2013 at 8:10 PM, Rob wrote:
> I am trying to make a class PoolingMatrix, which needs to be an
> (binary) integer matrix with extra attributes and functions. For
> example, I'd like to say:
>
> sage: m
I am trying to make a class PoolingMatrix, which needs to be an
(binary) integer matrix with extra attributes and functions. For
example, I'd like to say:
sage: m = PoolingMatrix(ZZ, [[1,0,0],[0,1,0],[0,0,1]])
sage: m.nrows()
2
sage: m.is_disjunct(2)# the 3x3 identity matrix is 2-disjunct
Tru
