def bah():
b1 = b.copy()
b2 = b.copy()
b3 = b.copy()
t = time.time()
b1.sort_indices()
print time.time()-t,'python'
print b1.indices
t = time.time()
matmult.sort_csr(b2.indptr.size,b2.indptr,b2.indices,b2.data)
print time.time()-t,'subsort'
print b2.indices
import radSort
print numpy.sort(b3.indices),b3.indices.size,b.shape
t = time.time()
#matmult.sort_csr2(b3.indptr.size,b3.data.size,b3.indptr,b3.indices,b3.data)
radSort.sort_csr(b3.indptr,b3.indices,b3.data,M)
print time.time()-t,'qsort'
print b3.indices
print abs((b3.data-b2.data)/b2.data).max()
df
iw = numpy.empty(max(a.shape),dtype=numpy.intc)
t = time.time()
nnz = matmult.count_t(M,a.indices+1,a.indptr+1,b.indices+1,b.indptr+1,iw)
print time.time()-t
t = time.time()
c,jc,ic = matmult.multd_t(M,M,a.indices,a.indptr,b.indices,b.indptr,a.data,b.data,nnz)
print time.time()-t
out = a.__class__((c,jc,ic),shape=(M,M))
return out+out.T
def fastAAT2(a):
import numpy
import matmult
b = a.tocsr()
a = a.T.tocsr()
M,N = a.shape
t = time.time()
matmult.sort_csr(b.indptr.size,b.indptr,b.indices,b.data)
print time.time()-t
iw = numpy.empty(max(a.shape),dtype=numpy.intc)
nnz = matmult.count_t(M,a.indices+1,a.indptr+1,b.indices+1,b.indptr+1,iw)
c,jc,ic = matmult.multd_t(M,M,a.indices,a.indptr,b.indices,b.indptr,a.data,b.data,nnz)
out = a.__class__((c,jc,ic),shape=(M,M))
return out+out.T