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sparse_matrix.i
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Created
Thu, Aug 22, 06:10
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968 B
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text/x-python
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Sat, Aug 24, 06:10 (2 d)
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rAKA akantu
sparse_matrix.i
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%include "sparse_matrix.hh"
%pythoncode %{
import scipy.sparse
import numpy as _np
class AkantuSparseMatrix (scipy.sparse.coo_matrix) :
def __init__(self,aka_sparse):
self.aka_sparse = aka_sparse
matrix_type = self.aka_sparse.getSparseMatrixType()
sz = self.aka_sparse.size()
row = self.aka_sparse.getIRN()[:,0] -1
col = self.aka_sparse.getJCN()[:,0] -1
data = self.aka_sparse.getA()[:,0]
row = row.copy()
col = col.copy()
data = data.copy()
if matrix_type == _symmetric:
non_diags = (row != col)
row_sup = col[non_diags]
col_sup = row[non_diags]
data_sup = data[non_diags]
col = _np.concatenate((col,col_sup))
row = _np.concatenate((row,row_sup))
data = _np.concatenate((data,data_sup))
scipy.sparse.coo_matrix.__init__(self,(data, (row,col)),shape=(sz,sz))
%}
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