The spartan can't suit the Numpy array

[stmatengss]

When i'm defining a matrix like this:

a=np.array([[0,1,1,0],
[1,0,0,1],
[1,0,0,1],
[1,1,0,0]],dtype=float)

Then, defining a function:

def PageRank(mat):
diff_sum=Inf
point_num=mat.shape[0]
pr=sp.ones((point_num,1),float)
pr=pr/point_num
for i in range(n_point):
cal=0
for j in range(n_point):
cal+=mat[j,i]
for j in range(n_point):
mat[j,i]/=cal
for cal_times in range(10):
mat.glom()
print (expr.dot(mat,pr)).glom()
new_pr=(expr.dot(mat,pr))DI+pr(1-DI)
diff=sp.sub(new_pr, pr)
diff_sum=sp.sum(diff)
print diff_sum.glom()
#debug(diff_sum)
pr=new_pr
#debug(pr)
return pr

when I'm doing PageRank(a), the result can't use the function glom() ( #res.glom() is error# )
The errors:
Traceback (most recent call last):
File "/home/stmatengss/workspace/testPy/pageRankMy.py", line 90, in
res=PageRank(buff)
File "/home/stmatengss/workspace/testPy/pageRankMy.py", line 41, in PageRank
print (expr.dot(mat,pr)).glom()
File "/home/stmatengss/spartan/spartan/expr/operator/base.py", line 502, in glom
return glom(self)
File "/home/stmatengss/spartan/spartan/expr/operator/base.py", line 657, in glom
value = evaluate(value)
File "/home/stmatengss/spartan/spartan/expr/operator/base.py", line 685, in evaluate
return node.evaluate()
File "/home/stmatengss/spartan/spartan/expr/operator/base.py", line 299, in evaluate
value = self._evaluate(ctx, deps)
File "/home/stmatengss/spartan/spartan/expr/operator/map.py", line 323, in _evaluate
sparse=(arrays[0].sparse and arrays[1].sparse))