I don't think this has ever been implemented in Sage. You have to figure out how to create a sparse matrix in magma and write Sage code to produce it. You can get inspiration from the current code of _magma_init_
def _magma_init_(self):
P = magma(self.parent())
v = [x._magma_init_(magma) for x in self.list()]
return '%s![%s]'%(P.name(), ','.join(v))
Vincent
Le 26/02/2019 à 17:55, Pierre Guillot a écrit :
Thanks! I think to know where the issue is : M= random_matrix(ZZ, 10, sparse= True, density= 0.1) M._magma_init_(magma) '_sage_[11]![0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-14,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,8,0,0,0,0]' This does not look like a sparse matrix to me : it's been converted to a "dense" matrix before magma code was produced... no wonder if my 50,000 x 50,000 matrix takes forever to load... If anyone has an easy fix, it would be great. Otherwise, i'll have to learn the syntax for sparse matrices in magma, and figure out how magma reads from a file...
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