def rand(L, M, N, orient=sp.array.frontal):
a = np.random.randint(2, size=(L, M, N))
a = orient(a)
st = sp.tensor.fromarray(a, orient)
return sp.coo_tensor(st)
import spartenpy as sp
L = 3
M = 4
N = 5
__test1 = np.array([[(0, 1, 0, 2),
[3, 0, 4, 0],
[0, 5, 6, 0]],
[[ 7, 0, 8, 0],
[ 0, 9, 10, 0],
[11, 0, 0, 12]]])
a = sp.array.frontal(__test1)
sta = sp.tensor.fromarray(a)
st = sp.coo_tensor(sta)
#st = sp.rand(L, M, N)
#st = sp.testten()
#print st.tensor.subs
#print st.tensor.subs[0]
#print st.tensor.subs[1]
#print st.tensor.subs[2]
#print st.tensor.vals
#print st
crsst = st.tocrs()
