Dear all,
I just discovered the following - was this a problem in earlier sage versions, too?
Best wishes,
Martin
sage: m = matrix(GF(3), [[2]])
sage: b = vector(GF(3), [1])
sage: m.solve_right(b)
(2)
sage: m = matrix(GF(3), [[2]], sparse=True)
sage: b = vector(GF(3), [1], sparse=True)
sage: m.solve_right(b)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[157], line 1
----> 1 m.solve_right(b)
File ~/sage/src/sage/matrix/matrix2.pyx:942, in sage.matrix.matrix2.Matrix.solve_right()
940 else:
941 try:
--> 942 X = self._solve_right_nonsingular_square(C, check_rank=True)
943 except NotFullRankError:
944 X = self._solve_right_general(C, check=check)
File ~/sage/src/sage/matrix/matrix_modn_sparse.pyx:948, in sage.matrix.matrix_modn_sparse.Matrix_modn_sparse._solve_right_nonsingular_square()
946 if isinstance(B, Matrix):
947 from sage.matrix.special import diagonal_matrix
--> 948 m, d = self._solve_matrix_linbox(B, algorithm)
949 return m * diagonal_matrix([QQ((1,x)) for x in d])
950 else:
File ~/sage/src/sage/matrix/matrix_modn_sparse.pyx:1132, in sage.matrix.matrix_modn_sparse.Matrix_modn_sparse._solve_matrix_linbox()
1130
1131 cdef givaro.ZRing givZZ
-> 1132 cdef linbox.SparseMatrix_integer * A = new_linbox_matrix_integer_sparse(givZZ, self)
1133 cdef linbox.DenseVector_integer * b = new linbox.DenseVector_integer(givZZ, <size_t> self._nrows)
1134 cdef linbox.DenseVector_integer * res = new linbox.DenseVector_integer(givZZ, <size_t> self._ncols)
TypeError: Cannot convert sage.matrix.matrix_modn_sparse.Matrix_modn_sparse to sage.matrix.matrix_integer_sparse.Matrix_integer_sparse