def sparse_tests(spm):
print('in sparse_tests')
# sp_formats = ('bsr', 'coo', 'csc', 'csr', 'dia', 'dok', 'lil')
sp_formats = ('bsr', 'coo', 'csc', 'csr', 'dia', 'lil')
spm.check_format(True)
spm_shape = spm.shape
nm = sn.NumericsMatrix(spm)
assert nm is not None
check_size((nm.size0, nm.size1), spm_shape)
for fmt in sp_formats:
func = getattr(scipy.sparse, fmt + '_matrix')
mm = func(spm)
if fmt in ('csc', 'csr'):
mm.check_format(True)
elif fmt == 'coo':
mm._check()
nm = sn.NumericsMatrix(mm)
check_size((nm.size0, nm.size1), spm_shape)
assert nm is not None
t1 = sn.NM_triplet(nm)
t1._check()
check_size(t1.shape, spm_shape)
assert ((spm - t1).nnz == 0)
t2 = sn.NM_csc(nm)
t2.check_format(True)
check_size(t2.shape, spm_shape)
assert ((spm - t2).nnz == 0)
t2bis = sn.NM_csc_trans(nm)
t2bis.check_format(True)
check_size(t2bis.T.shape, spm_shape)
assert ((spm.T - t2bis).nnz == 0)
t3 = sn.NM_triplet(mm)
t3._check()
check_size(t3.shape, spm_shape)
assert ((spm - t3).nnz == 0)
t4 = sn.NM_csc(mm)
t4.check_format(True)
check_size(t4.shape, spm_shape)
assert ((spm - t4).nnz == 0)
t4bis = sn.NM_csc_trans(mm)
t4bis.check_format(True)
check_size(t4bis.T.shape, spm_shape)
assert ((spm.T - t4bis).nnz == 0)
def SBM_tests(sbm):
print('in SBM_tests')
# SBM_to_dense
# SBM_to_sparse
# SBM_from_csparse
nm = sn.NumericsMatrix(sbm)
assert nm is not None
mcoo = sn.NM_triplet(nm)
mcoo._check()
check_size((nm.size0, nm.size1), mcoo.shape)
compare_with_SBM(sbm, mcoo)
mcsc = sn.NM_csc(nm)
mcsc.check_format(True)
check_size((nm.size0, nm.size1), mcsc.shape)
compare_with_SBM(sbm, mcsc)
mcsc_trans = sn.NM_csc_trans(nm)
mcsc_trans.check_format(True)
check_size((nm.size0, nm.size1), mcsc_trans.T.shape)
compare_with_SBM(sbm, mcsc_trans.T)
return copy.deepcopy(mcsc)