Thank you,
I've been reading the Matrices class.
The SMatrix class borrows its transpose, determinant and mult
functions from Matrix, and thus is inefficient for Sparse Matrices.
The transpose doesn't even work for SMatrix.
>>> a=SMatrix(10,10,lambda i,j:isprime(i))
>>> a.T
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "sympy/matrices/matrices.py", line 187, in transpose
a[i*self.rows:(i+1)*self.rows] = self.mat[i::self.cols]
TypeError: unhashable type
>>>
I intend to correct this bug. I have coded in another representation,
which is basically a list of all non-zero elements.
I'll edit the transpose method in SMatrix to make use of this
representation for efficiency.
I will correct the bug too and make room for increase in efficiency in
SMatrix methods by using the alternate representation.
This will be my easy patch, and my first contribution to Sympy.
Any suggestions ?
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