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__(self,
parent, entries, coerce, copy)
....
I would suggest having another function (e.g. pooling_matrix) which takes
arguments in the way you want to handle them and creates the appropriate
class; this is what the function matrix does. Note that you may need to
have a separate parent class if you want to do arithmetic with these
matrices, since by default MatrixSpace will create Matrix_integer_dense
objects rather than PoolingMatrix objects. See sage.matrix.constructor and
sage.matrix.matrix_space.
David
On Wed, Jun 5, 2013 at 1:53 PM, Rob <ulamga...@gmail.com> wrote:
> 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(ZZ, [[1,1],[2,2]])
> # m=PoolingMatrix(parent(a), [1,2,3,4], False, False)
> #
> # But the construction above is silly. You have to make a matrix of
> same dimensions and get its parent before
> # constructing the matrix you want.
> # I would prefer these construction capabilities:
> # m = PoolingMatrix(ZZ, [[1,0,0],[0,1,0]])
> # m = PoolingMatrix(ZZ, 2, [1,0,0,0,1,0])
> # m = PoolingMatrix(ZZ, 2, 3, [1,0,0,0,1,0])
> # And since the ring is always ZZ, maybe the ZZ argument should be
> optional.
> def __init__(self, parent, data, arg1, arg2):
> print data
>
> sage.matrix.matrix_integer_dense.Matrix_integer_dense.__init__(self,
> parent, data, arg1, arg2)
> self.d_lower_bound = -1
> # parent class, maybe dense integer matrices, provides the method
> ncols()
> self.d_upper_bound = self.ncols()
>
> a = matrix(ZZ, [[1,1],[2,2]])
> m=PoolingMatrix(parent(a), [1,2,3,4], False, False)
> print m.ncols()
>
>
> On Wednesday, June 5, 2013 10:09:55 AM UTC-7, Rob wrote:
>>
>> 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)
>> self.my_variable1 = ...
>> self.my_variable2 = ...
>>
>> I'm getting confused by what's a class, what's a constructor, what's a
>> parent going into a Matrix_integer_dense.__init__ call, etc. (this is for
>> example, not saying Matrix_integer_dense is right). I do know that I want
>> dense integer matrices of whatever shape the the 2D_list_arg determines.
>>
>> I'd like to know what to put in for parent_class in both places above,
>> and whether the same thing goes in both places.
>>
>> Thanks,
>> Rob
>>
>>
>>
>> On Wednesday, June 5, 2013 9:37:01 AM UTC-7, David Roe wrote:
>>>
>>> Are you calling some_matrix_thingy.__init__ inside your __init__ method?
>>> David
>>>
>>>
>>> On Tue, Jun 4, 2013 at 8:10 PM, Rob <ulam...@gmail.com> 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 = 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
>>>> True
>>>>
>>>> But the init specification for PoolingMatrix is tripping me up. Can
>>>> anyone provide a suggestion?
>>>>
>>>> I'm trying something like:
>>>> class PoolingMatrix(some_matrix_**thingy):
>>>> def __init__(self, input_ring, input_array):
>>>> ...
>>>>
>>>> Thanks for any assistance
>>>> -Rob
>>>>
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>>>
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