print analysis_eigen_tensor(temp_tensor, "user")
print analysis_eigen_tensor(temp_tensor, "time")
print analysis_eigen_tensor(temp_tensor, "poi")
print "\n"
temp_tensor1 = temp_tensor[:]
temp_tensor2 = temp_tensor[:]
temp_tensor3 = temp_tensor[:]
temp_tensor4 = temp_tensor[:]
res1, iterator_values1 = tensor_three_mode_product(transition_tensor,
temp_tensor1)
res2, iterator_values2 = tensor_three_mode_product(transition_tensor2,
temp_tensor2)
# res3, iterator_values3 = shifted_tensor_three_mode_product(transition_tensor3, temp_tensor3, alpha_shift)
res4, iterator_values4 = shifted_tensor_three_mode_product(
transition_tensor3, temp_tensor4, 0, shifted=False)
print analysis_eigen_tensor(res1, "user")
print analysis_eigen_tensor(res1, "time")
print analysis_eigen_tensor(res1, "poi")
print "\n"
print analysis_eigen_tensor(res2, "user")
print analysis_eigen_tensor(res2, "time")
print analysis_eigen_tensor(res2, "poi")
print "\n"
# print analysis_eigen_tensor(res3, "user")
# print analysis_eigen_tensor(res3, "time")
# print analysis_eigen_tensor(res3, "poi")
# print "\n"
print "初始张量性质:\n"
print analysis_eigen_tensor(temp_tensor, "user")
print analysis_eigen_tensor(temp_tensor, "time")
print analysis_eigen_tensor(temp_tensor, "poi")
print "\n"
temp_tensor1 = temp_tensor[:]
temp_tensor2 = temp_tensor[:]
temp_tensor3 = temp_tensor[:]
temp_tensor4 = temp_tensor[:]
res1, iterator_values1 = tensor_three_mode_product(transition_tensor, temp_tensor1)
res2, iterator_values2 = tensor_three_mode_product(transition_tensor2, temp_tensor2)
# res3, iterator_values3 = shifted_tensor_three_mode_product(transition_tensor3, temp_tensor3, alpha_shift)
res4, iterator_values4 = shifted_tensor_three_mode_product(transition_tensor3, temp_tensor4, 0, shifted=False)
print analysis_eigen_tensor(res1, "user")
print analysis_eigen_tensor(res1, "time")
print analysis_eigen_tensor(res1, "poi")
print "\n"
print analysis_eigen_tensor(res2, "user")
print analysis_eigen_tensor(res2, "time")
print analysis_eigen_tensor(res2, "poi")
print "\n"
# print analysis_eigen_tensor(res3, "user")
# print analysis_eigen_tensor(res3, "time")
# print analysis_eigen_tensor(res3, "poi")
# print "\n"
temp_tensor = [[[random.choice([0, 1, 1000]) for i in range(poi_num)] for j in range(time_num)] for k in range(user_num)]
temp_tensor = three_tensor_hadarmard(1/three_order_tensor_first_norm(temp_tensor), temp_tensor)
print "初始张量性质:\n"
print analysis_eigen_tensor(temp_tensor, "user")
print analysis_eigen_tensor(temp_tensor, "time")
print analysis_eigen_tensor(temp_tensor, "poi")
print "\n"
temp_tensor1 = temp_tensor
temp_tensor2 = temp_tensor
temp_tensor3 = temp_tensor
temp_tensor4 = temp_tensor
res1, iterator_values1 = shifted_tensor_three_mode_product(transition_tensor3, temp_tensor1, alpha_shift1)
res2, iterator_values2 = shifted_tensor_three_mode_product(transition_tensor3, temp_tensor2, alpha_shift2)
res3, iterator_values3 = shifted_tensor_three_mode_product(transition_tensor3, temp_tensor3, alpha_shift3)
res4, iterator_values4 = shifted_tensor_three_mode_product(transition_tensor3, temp_tensor4, alpha_shift4)
print analysis_eigen_tensor(res1, "user")
print analysis_eigen_tensor(res1, "time")
print analysis_eigen_tensor(res1, "poi")
print "\n"
print analysis_eigen_tensor(res2, "user")
print analysis_eigen_tensor(res2, "time")
print analysis_eigen_tensor(res2, "poi")
print "\n"
print analysis_eigen_tensor(res3, "user")
