np.linalg.inv() numerical errors

gistfile1.txt

testmattt = Sij[13]
testmattt_inv = np.linalg.inv(Sij[13])

print testmattt

OUTPUT
[[  3.60611595e-10   3.54999009e-10   3.49422963e-10 ...,  -3.54999009e-10
   -3.60611595e-10  -3.54999009e-10]
 [  3.54999009e-10   3.60611595e-10   3.54999009e-10 ...,  -3.49422963e-10
   -3.54999009e-10  -3.60611595e-10]
 [  3.49422963e-10   3.54999009e-10   3.60611595e-10 ...,  -3.54999009e-10
   -3.49422963e-10  -3.54999009e-10]
 ..., 
 [ -3.54999009e-10  -3.49422963e-10  -3.54999009e-10 ...,   3.60611595e-10
    3.54999009e-10   3.49422963e-10]
 [ -3.60611595e-10  -3.54999009e-10  -3.49422963e-10 ...,   3.54999009e-10
    3.60611595e-10   3.54999009e-10]
 [ -3.54999009e-10  -3.60611595e-10  -3.54999009e-10 ...,   3.49422963e-10
    3.54999009e-10   3.60611595e-10]]
    
print testmattt_inv

OUTPUT
[[  5.90171114e+23  -2.97719733e+23   3.29856106e+23 ...,  -2.46714190e+23
    2.11331633e+22  -3.16779300e+23]
 [ -1.02998439e+24  -3.45833499e+23  -5.59535211e+23 ...,   2.60455420e+23
    6.80907569e+23   6.68450292e+21]
 [ -4.99010695e+23  -2.36591710e+23   5.93246262e+21 ...,   6.66918182e+22
    1.95742816e+23  -1.61205246e+23]
 ..., 
 [  4.69633660e+23  -2.46248642e+22   2.33103810e+23 ...,  -1.43035832e+23
   -1.87582879e+22  -4.42910477e+22]
 [ -2.41150378e+23   3.97836968e+22   1.62738017e+22 ...,   1.76385611e+23
   -3.67537289e+23  -7.58324328e+22]
 [  1.40915869e+24  -1.07070275e+23   8.14514766e+23 ...,  -2.60085893e+23
   -6.93957565e+23  -3.74134341e+23]]
   
   print np.dot(testmattt, testmattt_inv)
   
   [[ 0.25       0.25      -0.71875   ..., -0.25       0.         0.75     ]
 [ 3.75      -0.75      -1.78125   ..., -0.625      0.5       -0.625    ]
 [-2.125     -0.5       -2.5546875 ..., -0.375      0.25       0.5      ]
 ..., 
 [-3.125     -2.        -0.875     ...,  2.125      2.5        1.5      ]
 [ 1.125      0.25       0.1875    ...,  0.625      1.25       0.25     ]
 [-2.5        0.5        3.546875  ..., -0.875     -1.75       0.75     ]]