Solution 32 to problem over


Expressions | Parameters | Inequalities | Relevance | Back to problem over

Expressions

The solution is given through the following expressions:

          2   6   8   4   3             2   6   8   2   5
r10=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   6   6   3             2   6   6   4   5
      + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   5      9   5                 2   5      9   3   3
      + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      9      5             2   5      7   7
      + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

              2   5      7   5   3              2   5      7   3   5
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      5   9                2   5      5   7   3
      + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      5   5   5             2   5   8   5   3
      - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   8   3   5             2   5   6   7   3
      - 4*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

             2   5   6   5   5             2   5   4   9   3
      - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   4   7   5              2   4   2   10   4
      - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   4   2   10   2   3             2   4   2   10   5
      + 28*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1  *n3 *r214

              2   4   2   8   6                 2   4   2   8   4   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   8   2   5             2   4   2   6   8
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   2   6   6   3              2   4   2   6   4   5
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   2   4   10                 2   4   2   4   8   3
      + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   4   6   5             2   4      9   6
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3*r216

             2   4      9   4   3             2   4      9   2   5
      - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      7   8                 2   4      7   6   3
      + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      7   4   5             2   4      5   10
      - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2  *n3*r216

             2   4      5   8   3              2   4      5   6   5
      - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      3   12                2   4      3   10   3
      + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2  *n3 *r216

              2   4      3   8   5              2   3   3   11   3
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   3   3   11      3              2   3   3   9   3   3
      - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   9      5              2   3   3   7   7
      - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   3   3   7   5   3              2   3   3   7   3   5
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   5   9                 2   3   3   5   7   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   5   5   5             2   3   3   3   11
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   3   3   3   9   3              2   3   3   3   7   5
      - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   2   10   5                2   3   2   10   3   3
      - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   3   2   8   7                2   3   2   8   5   3
      - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   8   3   5              2   3   2   6   7   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   6   5   5             2   3   2   4   11
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   3   2   4   9   3              2   3   2   4   7   5
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   2   13                2   3   2   2   11   3
      + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   2   2   9   5             2   2   4   12   2
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   2   4   10   4                 2   2   4   10   2   3
      + 16*a33 *m1 *m2 *n1  *n2 *n3*r214 - 36*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   2   4   8   6                 2   2   4   8   4   3
      + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   8   2   5              2   2   4   6   6   3
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   4   5              2   2   4   4   10
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   2   4   4   8   3              2   2   4   4   6   5
      + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   4   2   10   3             2   2   4   2   8   5
      - 8*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   3   11   4                2   2   3   9   6
      + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   3   9   4   3              2   2   3   7   8
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   3   7   6   3              2   2   3   7   4   5
      + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   10                 2   2   3   5   8   3
      - 16*a33 *m1 *m2 *n1 *n2  *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   6   5             2   2   3   3   12
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   2   3   3   10   3             2   2   3   3   8   5
      - 32*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3      14                 2   2   3      12   3
      + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   3      10   5             2      5   11   3
      - 16*a33 *m1 *m2 *n1*n2  *n3 *r216 - 8*a33 *m1*m2 *n1  *n2 *n3*r214

             2      5   9   5                 2      5   9   3   3
      - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   7   7                 2      5   7   5   3
      + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   7   3   5              2      5   5   9
      - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   5   7   3              2      5   5   5   5
      + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   3   9   3              2      5   3   7   5
      + 16*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      4   10   5                2      4   8   7
      + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

              2      4   8   5   3              2      4   6   7   3
      + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   6   5   5             2      4   4   11
      + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2  *n3*r216

              2      4   4   9   3              2      4   4   7   5
      + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   2   13                2      4   2   11   3
      - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2  *n3 *r216

             2      4   2   9   5             2      4   13   3
      + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

             2      4   11   5             2   6   10   4
      - 4*a33 *m1*m2 *n2  *n3 *r216 - 4*a33 *m2 *n1  *n2 *n3*r214

             2   6   8   6                 2   6   8   4   3
      - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

             2   6   6   8                 2   6   6   6   3
      - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

             2   6   6   4   5             2   6   4   8   3
      - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   4   6   5             2   5   9   6
      - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *n3*r216

             2   5   7   8                2   5   7   6   3
      + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

             2   5   5   10                 2   5   5   8   3
      + 6*a33 *m2 *n1 *n2  *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

             2   5   5   6   5             2   5   3   12
      + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

              2   5   3   10   3             2   5   3   8   5
      + 14*a33 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

             2   5      12   3             2   5      10   5
      + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2  *n3 *r216

          5   10   5   3            5   10   3   5            5   8   7   3
      + m1 *n1  *n2 *n3 *r496 - 2*m1 *n1  *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

            5   8   5   5          5   6   9   3            5   6   7   5
      - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

          4      11   6               4      11   4   3
      + m1 *m2*n1  *n2 *n3*r496 - 3*m1 *m2*n1  *n2 *n3 *r496

            4      9   8               4      9   6   3
      + 3*m1 *m2*n1 *n2 *n3*r496 - 4*m1 *m2*n1 *n2 *n3 *r496

             4      9   4   5            4      7   10
      - 10*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2  *n3*r496

          4      7   8   3             4      7   6   5
      + m1 *m2*n1 *n2 *n3 *r496 - 20*m1 *m2*n1 *n2 *n3 *r496

          4      5   12               4      5   10   3
      + m1 *m2*n1 *n2  *n3*r496 + 2*m1 *m2*n1 *n2  *n3 *r496

             4      5   8   5          3   2   12   5
      - 10*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

             3   2   10   5   3            3   2   8   9
      - 12*m1 *m2 *n1  *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2 *n3*r496

             3   2   8   7   3             3   2   8   5   5
      - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

            3   2   6   11                3   2   6   9   3
      + 8*m1 *m2 *n1 *n2  *n3*r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   7   5            3   2   4   13
      - 40*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1 *n2  *n3*r496

            3   2   4   11   3             3   2   4   9   5
      - 2*m1 *m2 *n1 *n2  *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

            2   3   11   6               2   3   9   8
      - 3*m1 *m2 *n1  *n2 *n3*r496 - 6*m1 *m2 *n1 *n2 *n3*r496

             2   3   9   6   3             2   3   7   8   3
      - 18*m1 *m2 *n1 *n2 *n3 *r496 - 44*m1 *m2 *n1 *n2 *n3 *r496

             2   3   7   6   5            2   3   5   12
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2  *n3*r496

             2   3   5   10   3             2   3   5   8   5
      - 34*m1 *m2 *n1 *n2  *n3 *r496 - 40*m1 *m2 *n1 *n2 *n3 *r496

            2   3   3   14               2   3   3   12   3
      + 3*m1 *m2 *n1 *n2  *n3*r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

             2   3   3   10   5               4   10   7
      - 20*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1*m2 *n1  *n2 *n3*r496

               4   8   9                   4   8   7   3
      - 8*m1*m2 *n1 *n2 *n3*r496 - 12*m1*m2 *n1 *n2 *n3 *r496

               4   6   11                   4   6   9   3
      - 6*m1*m2 *n1 *n2  *n3*r496 - 31*m1*m2 *n1 *n2 *n3 *r496

                4   6   7   5                4   4   11   3
      - 10*m1*m2 *n1 *n2 *n3 *r496 - 26*m1*m2 *n1 *n2  *n3 *r496

                4   4   9   5             4   2   15
      - 20*m1*m2 *n1 *n2 *n3 *r496 + m1*m2 *n1 *n2  *n3*r496

               4   2   13   3                4   2   11   5
      - 7*m1*m2 *n1 *n2  *n3 *r496 - 10*m1*m2 *n1 *n2  *n3 *r496

          5   9   8               5   7   10               5   7   8   3
      - m2 *n1 *n2 *n3*r496 - 3*m2 *n1 *n2  *n3*r496 - 3*m2 *n1 *n2 *n3 *r496

            5   5   12               5   5   10   3
      - 3*m2 *n1 *n2  *n3*r496 - 8*m2 *n1 *n2  *n3 *r496

            5   5   8   5          5   3   14               5   3   12   3
      - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2  *n3 *r496

            5   3   10   5            5      14   3
      - 4*m2 *n1 *n2  *n3 *r496 - 2*m2 *n1*n2  *n3 *r496

            5      12   5             3   5   9   4   2        3   5   9   2   4
      - 2*m2 *n1*n2  *n3 *r496)/(2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3

           3   5   7   6   2        3   5   7   4   4        3   5   5   8   2
    + 2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3

           3   5   5   6   4        3   5   3   10   2        3   5   3   8   4
    + 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2  *n3  + 4*a33 *m1 *n1 *n2 *n3

           3   4      10   5         3   4      10   3   2
    + 2*a33 *m1 *m2*n1  *n2  - 10*a33 *m1 *m2*n1  *n2 *n3

           3   4      10      4        3   4      8   7
    + 8*a33 *m1 *m2*n1  *n2*n3  + 4*a33 *m1 *m2*n1 *n2

            3   4      8   5   2        3   4      8   3   4
    - 10*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2 *n3

            3   4      6   7   2         3   4      6   5   4
    + 10*a33 *m1 *m2*n1 *n2 *n3  - 20*a33 *m1 *m2*n1 *n2 *n3

           3   4      4   11         3   4      4   9   2
    - 4*a33 *m1 *m2*n1 *n2   + 10*a33 *m1 *m2*n1 *n2 *n3

           3   4      4   7   4        3   4      2   13
    + 4*a33 *m1 *m2*n1 *n2 *n3  - 2*a33 *m1 *m2*n1 *n2

            3   4      2   9   4        3   3   2   11   4
    + 12*a33 *m1 *m2*n1 *n2 *n3  - 6*a33 *m1 *m2 *n1  *n2

            3   3   2   11   2   2        3   3   2   11   4
    + 14*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

            3   3   2   9   6        3   3   2   9   4   2
    - 10*a33 *m1 *m2 *n1 *n2  + 2*a33 *m1 *m2 *n1 *n2 *n3

            3   3   2   9   2   4        3   3   2   7   8
    + 20*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2

            3   3   2   7   6   2         3   3   2   7   4   4
    - 32*a33 *m1 *m2 *n1 *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2 *n3

            3   3   2   5   10        3   3   2   5   8   2
    + 12*a33 *m1 *m2 *n1 *n2   - 8*a33 *m1 *m2 *n1 *n2 *n3

            3   3   2   5   6   4        3   3   2   3   12
    - 32*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

            3   3   2   3   10   2         3   3   2   3   8   4
    + 18*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2 *n3

           3   3   2      14        3   3   2      12   2
    - 2*a33 *m1 *m2 *n1*n2   + 6*a33 *m1 *m2 *n1*n2  *n3

            3   3   2      10   4        3   2   3   12   3
    + 12*a33 *m1 *m2 *n1*n2  *n3  + 6*a33 *m1 *m2 *n1  *n2

           3   2   3   12      2        3   2   3   10   5
    - 6*a33 *m1 *m2 *n1  *n2*n3  + 6*a33 *m1 *m2 *n1  *n2

            3   2   3   10   3   2         3   2   3   10      4
    + 18*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2*n3

            3   2   3   8   7         3   2   3   8   5   2
    - 12*a33 *m1 *m2 *n1 *n2  + 36*a33 *m1 *m2 *n1 *n2 *n3

            3   2   3   8   3   4         3   2   3   6   9
    + 12*a33 *m1 *m2 *n1 *n2 *n3  - 12*a33 *m1 *m2 *n1 *n2

            3   2   3   6   7   2         3   2   3   6   5   4
    - 16*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2 *n3

           3   2   3   4   11         3   2   3   4   9   2
    + 6*a33 *m1 *m2 *n1 *n2   - 34*a33 *m1 *m2 *n1 *n2 *n3

            3   2   3   4   7   4        3   2   3   2   13
    - 16*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

           3   2   3   2   11   2         3   2   3   2   9   4
    - 2*a33 *m1 *m2 *n1 *n2  *n3  - 20*a33 *m1 *m2 *n1 *n2 *n3

           3   2   3   13   2        3   2   3   11   4        3      4   13   2
    + 4*a33 *m1 *m2 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3  - 2*a33 *m1*m2 *n1  *n2

           3      4   11   4         3      4   11   2   2
    + 2*a33 *m1*m2 *n1  *n2  - 12*a33 *m1*m2 *n1  *n2 *n3

            3      4   9   6        3      4   9   4   2
    + 12*a33 *m1*m2 *n1 *n2  - 6*a33 *m1*m2 *n1 *n2 *n3

            3      4   9   2   4        3      4   7   8
    - 12*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n1 *n2

            3      4   7   6   2        3      4   7   4   4
    + 26*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2 *n3

            3      4   5   10         3      4   5   8   2
    - 10*a33 *m1*m2 *n1 *n2   + 14*a33 *m1*m2 *n1 *n2 *n3

            3      4   5   6   4        3      4   3   12
    + 20*a33 *m1*m2 *n1 *n2 *n3  - 6*a33 *m1*m2 *n1 *n2

            3      4   3   10   2        3      4   3   8   4
    - 14*a33 *m1*m2 *n1 *n2  *n3  + 4*a33 *m1*m2 *n1 *n2 *n3

           3      4      12   2        3      4      10   4
    - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2  *n3

           3   5   12   3        3   5   10   5        3   5   10   3   2
    - 2*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1  *n2  - 6*a33 *m2 *n1  *n2 *n3

            3   5   8   5   2        3   5   8   3   4        3   5   6   9
    - 10*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2

           3   5   6   7   2        3   5   6   5   4        3   5   4   11
    + 2*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2

            3   5   4   9   2        3   5   4   7   4        3   5   2   11   2
    + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2  *n3

           3   5   2   9   4
    + 4*a33 *m2 *n1 *n2 *n3 )


          2   11   12   8   2              2   11   12   6   4
r11=(8*a33 *m1  *n1  *n2 *n3 *r214 - 32*a33 *m1  *n1  *n2 *n3 *r214

              2   11   12   4   6             2   11   10   10   2
      + 32*a33 *m1  *n1  *n2 *n3 *r214 + 8*a33 *m1  *n1  *n2  *n3 *r214

              2   11   10   8   4              2   11   10   6   6
      - 32*a33 *m1  *n1  *n2 *n3 *r214 + 32*a33 *m1  *n1  *n2 *n3 *r214

             2   10      13   9              2   10      13   7   2
      + 8*a33 *m1  *m2*n1  *n2 *r214 - 76*a33 *m1  *m2*n1  *n2 *n3 *r214

               2   10      13   5   4               2   10      13   3   6
      + 176*a33 *m1  *m2*n1  *n2 *n3 *r214 - 112*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   10      11   11              2   10      11   9   2
      + 16*a33 *m1  *m2*n1  *n2  *r214 - 64*a33 *m1  *m2*n1  *n2 *n3 *r214

             2   10      11   7   4               2   10      11   5   6
      + 4*a33 *m1  *m2*n1  *n2 *n3 *r214 + 112*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   10      11   3   8             2   10      9   13
      + 16*a33 *m1  *m2*n1  *n2 *n3 *r214 + 8*a33 *m1  *m2*n1 *n2  *r214

              2   10      9   11   2               2   10      9   9   4
      + 12*a33 *m1  *m2*n1 *n2  *n3 *r214 - 168*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      9   7   6              2   10      9   5   8
      + 208*a33 *m1  *m2*n1 *n2 *n3 *r214 + 32*a33 *m1  *m2*n1 *n2 *n3 *r214

             2   10      7   11   4              2   10      7   9   6
      + 4*a33 *m1  *m2*n1 *n2  *n3 *r214 - 16*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      7   7   8             2   10   12   9   2
      + 16*a33 *m1  *m2*n1 *n2 *n3 *r214 + 4*a33 *m1  *n1  *n2 *n3 *r216

              2   10   12   7   4              2   10   12   5   6
      - 16*a33 *m1  *n1  *n2 *n3 *r216 + 16*a33 *m1  *n1  *n2 *n3 *r216

             2   10   10   11   2              2   10   10   9   4
      + 8*a33 *m1  *n1  *n2  *n3 *r216 - 32*a33 *m1  *n1  *n2 *n3 *r216

              2   10   10   7   6             2   10   8   13   2
      + 32*a33 *m1  *n1  *n2 *n3 *r216 + 4*a33 *m1  *n1 *n2  *n3 *r216

              2   10   8   11   4              2   10   8   9   6
      - 16*a33 *m1  *n1 *n2  *n3 *r216 + 16*a33 *m1  *n1 *n2 *n3 *r216

              2   9   2   14   8               2   9   2   14   6   2
      - 44*a33 *m1 *m2 *n1  *n2 *r214 + 244*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   2   14   4   4               2   9   2   14   2   6
      - 368*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 144*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   2   12   10              2   9   2   12   8   2
      - 52*a33 *m1 *m2 *n1  *n2  *r214 - 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   2   12   6   4               2   9   2   12   4   6
      + 620*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 608*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   2   12   2   8              2   9   2   10   12
      - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 28*a33 *m1 *m2 *n1  *n2  *r214

               2   9   2   10   10   2               2   9   2   10   8   4
      - 336*a33 *m1 *m2 *n1  *n2  *n3 *r214 + 588*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   2   10   6   6              2   9   2   10   4   8
      + 32*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   2   8   14              2   9   2   8   12   2
      + 36*a33 *m1 *m2 *n1 *n2  *r214 - 64*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   2   8   10   4               2   9   2   8   8   6
      - 396*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 704*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   8   6   8             2   9   2   6   14   2
      + 176*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   9   2   6   12   4              2   9   2   6   10   6
      + 4*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   2   6   8   8             2   9      13   10
      + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2*n1  *n2  *r216

              2   9      13   8   2              2   9      13   6   4
      - 34*a33 *m1 *m2*n1  *n2 *n3 *r216 + 74*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      13   4   6             2   9      13   2   8
      - 48*a33 *m1 *m2*n1  *n2 *n3 *r216 + 8*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      11   12              2   9      11   10   2
      + 12*a33 *m1 *m2*n1  *n2  *r216 - 62*a33 *m1 *m2*n1  *n2  *n3 *r216

              2   9      11   8   4              2   9      11   6   6
      + 62*a33 *m1 *m2*n1  *n2 *n3 *r216 + 16*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      11   4   8              2   9      9   14
      + 24*a33 *m1 *m2*n1  *n2 *n3 *r216 + 12*a33 *m1 *m2*n1 *n2  *r216

              2   9      9   12   2              2   9      9   10   4
      - 22*a33 *m1 *m2*n1 *n2  *n3 *r216 - 98*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   9      9   8   6              2   9      9   6   8
      + 176*a33 *m1 *m2*n1 *n2 *n3 *r216 + 24*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   9      7   16             2   9      7   14   2
      + 4*a33 *m1 *m2*n1 *n2  *r216 + 6*a33 *m1 *m2*n1 *n2  *n3 *r216

              2   9      7   12   4               2   9      7   10   6
      - 86*a33 *m1 *m2*n1 *n2  *n3 *r216 + 112*a33 *m1 *m2*n1 *n2  *n3 *r216

             2   9      7   8   8               2   8   3   15   7
      + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 100*a33 *m1 *m2 *n1  *n2 *r214

               2   8   3   15   5   2               2   8   3   15   3   4
      - 376*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 368*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   15      6             2   8   3   13   9
      - 80*a33 *m1 *m2 *n1  *n2*n3 *r214 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   8   3   13   7   2                2   8   3   13   5   4
      + 672*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1736*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   13   3   6              2   8   3   13      8
      + 832*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 48*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   8   3   11   11               2   8   3   11   9   2
      - 228*a33 *m1 *m2 *n1  *n2  *r214 + 868*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   11   7   4                2   8   3   11   5   6
      + 284*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1488*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   11   3   8              2   8   3   9   13
      - 240*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 68*a33 *m1 *m2 *n1 *n2  *r214

               2   8   3   9   11   2                2   8   3   9   9   4
      - 448*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1928*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   9   7   6               2   8   3   9   5   8
      - 656*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 288*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   8   3   7   15               2   8   3   7   13   2
      + 64*a33 *m1 *m2 *n1 *n2  *r214 - 252*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   3   7   11   4                2   8   3   7   9   6
      - 500*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1600*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   7   7   8              2   8   3   5   15   2
      + 336*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   8   3   5   13   4               2   8   3   5   11   6
      - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   3   5   9   8              2   8   2   14   9
      + 336*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 18*a33 *m1 *m2 *n1  *n2 *r216

              2   8   2   14   7   2               2   8   2   14   5   4
      + 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 128*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   14   3   6              2   8   2   14      8
      + 64*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   8   2   12   11              2   8   2   12   9   2
      - 36*a33 *m1 *m2 *n1  *n2  *r216 + 54*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   12   7   4               2   8   2   12   5   6
      + 154*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 176*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   8   2   12   3   8               2   8   2   10   11   2
      + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 198*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   8   2   10   9   4               2   8   2   10   7   6
      + 510*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 192*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   10   5   8              2   8   2   8   15
      + 120*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 36*a33 *m1 *m2 *n1 *n2  *r216

               2   8   2   8   13   2              2   8   2   8   11   4
      - 198*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 46*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   2   8   9   6               2   8   2   8   7   8
      + 400*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   8   2   6   17              2   8   2   6   15   2
      + 18*a33 *m1 *m2 *n1 *n2  *r216 - 36*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   2   6   13   4               2   8   2   6   11   6
      - 182*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 352*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   8   2   6   9   8               2   7   4   16   6
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 120*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   16   4   2               2   7   4   16   2   4
      + 304*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 176*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   4   16   6               2   7   4   14   8
      + 16*a33 *m1 *m2 *n1  *n3 *r214 + 200*a33 *m1 *m2 *n1  *n2 *r214

                2   7   4   14   6   2
      - 1448*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   4   14   4   4               2   7   4   14   2   6
      + 1928*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 448*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   4   14   8               2   7   4   12   10
      - 16*a33 *m1 *m2 *n1  *n3 *r214 + 416*a33 *m1 *m2 *n1  *n2  *r214

               2   7   4   12   8   2                2   7   4   12   6   4
      - 168*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 3080*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   4   12   4   6               2   7   4   12   2   8
      + 2192*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 304*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   4   10   12                2   7   4   10   10   2
      - 192*a33 *m1 *m2 *n1  *n2  *r214 + 2128*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   7   4   10   8   4
      - 2048*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   4   10   6   6               2   7   4   10   4   8
      - 2176*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 352*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   4   8   14               2   7   4   8   12   2
      - 232*a33 *m1 *m2 *n1 *n2  *r214 + 112*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   4   8   10   4                2   7   4   8   8   6
      + 3056*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 2320*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   8   6   8              2   7   4   6   16
      - 1120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   6   14   2               2   7   4   6   12   4
      - 408*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 200*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   4   6   10   6               2   7   4   6   8   8
      + 2432*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   4   4   16   2               2   7   4   4   14   4
      + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   4   4   12   6               2   7   4   4   10   8
      - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   3   15   8               2   7   3   15   6   2
      + 32*a33 *m1 *m2 *n1  *n2 *r216 - 108*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   15   4   4              2   7   3   15   2   6
      + 108*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   7   3   15   8              2   7   3   13   10
      + 8*a33 *m1 *m2 *n1  *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2  *r216

               2   7   3   13   8   2               2   7   3   13   6   4
      + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 484*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   13   4   6              2   7   3   13   2   8
      + 272*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 88*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   11   12               2   7   3   11   10   2
      - 112*a33 *m1 *m2 *n1  *n2  *r216 + 576*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   7   3   11   8   4               2   7   3   11   6   6
      - 352*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 160*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   11   4   8               2   7   3   9   14
      - 144*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 112*a33 *m1 *m2 *n1 *n2  *r216

              2   7   3   9   12   2                2   7   3   9   10   4
      + 48*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 1008*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   9   8   6               2   7   3   9   6   8
      - 672*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 176*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   7   3   7   16               2   7   3   7   14   2
      + 16*a33 *m1 *m2 *n1 *n2  *r216 - 372*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   7   12   4               2   7   3   7   10   6
      + 596*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 464*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   7   8   8              2   7   3   5   18
      + 392*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2  *r216

               2   7   3   5   16   2               2   7   3   5   14   4
      - 132*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 172*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   5   12   6               2   7   3   5   10   8
      + 656*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   5   17   5               2   6   5   17   3   2
      + 80*a33 *m1 *m2 *n1  *n2 *r214 - 124*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   17      4               2   6   5   15   7
      + 32*a33 *m1 *m2 *n1  *n2*n3 *r214 - 360*a33 *m1 *m2 *n1  *n2 *r214

                2   6   5   15   5   2               2   6   5   15   3   4
      + 1344*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 956*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   15      6               2   6   5   13   9
      + 80*a33 *m1 *m2 *n1  *n2*n3 *r214 - 200*a33 *m1 *m2 *n1  *n2 *r214

                2   6   5   13   7   2
      - 1708*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   13   5   4
      + 4176*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   13   3   6               2   6   5   13      8
      - 1088*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 112*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   6   5   11   11                2   6   5   11   9   2
      + 704*a33 *m1 *m2 *n1  *n2  *r214 - 2576*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   11   7   4
      - 1964*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   11   5   6               2   6   5   11   3   8
      + 3664*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 784*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   5   9   13                2   6   5   9   11   2
      + 192*a33 *m1 *m2 *n1 *n2  *r214 + 1876*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   9   9   4                2   6   5   9   7   6
      - 5008*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 1760*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   9   5   8               2   6   5   7   15
      + 224*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 248*a33 *m1 *m2 *n1 *n2  *r214

               2   6   5   7   13   2                2   6   5   7   11   4
      + 896*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 2628*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   7   9   6                2   6   5   7   7   8
      - 4400*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 1792*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   6   5   5   17               2   6   5   5   15   2
      + 24*a33 *m1 *m2 *n1 *n2  *r214 - 364*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   5   13   4                2   6   5   5   11   6
      + 368*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 2272*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   5   9   8              2   6   5   3   17   2
      - 560*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   3   15   4              2   6   5   3   13   6
      - 140*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   3   11   8              2   6   4   16   7
      + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 28*a33 *m1 *m2 *n1  *n2 *r216

              2   6   4   16   5   2              2   6   4   16   3   4
      + 64*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   4   16      6              2   6   4   14   9
      + 16*a33 *m1 *m2 *n1  *n2*n3 *r216 + 56*a33 *m1 *m2 *n1  *n2 *r216

               2   6   4   14   7   2               2   6   4   14   5   4
      - 372*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 468*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   14   3   6              2   6   4   14      8
      - 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 56*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   6   4   12   11               2   6   4   12   9   2
      + 196*a33 *m1 *m2 *n1  *n2  *r216 - 300*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   12   7   4               2   6   4   12   5   6
      - 524*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 352*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   12   3   8               2   6   4   10   11   2
      - 168*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 944*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   4   10   9   4              2   6   4   10   7   6
      - 1520*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   10   5   8               2   6   4   8   15
      - 560*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 196*a33 *m1 *m2 *n1 *n2  *r216

               2   6   4   8   13   2               2   6   4   8   11   4
      + 792*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 624*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   4   8   9   6               2   6   4   8   7   8
      - 1104*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   6   17               2   6   4   6   15   2
      - 56*a33 *m1 *m2 *n1 *n2  *r216 - 204*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   4   6   13   4               2   6   4   6   11   6
      + 1084*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 208*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   6   9   8              2   6   4   4   19
      + 504*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 28*a33 *m1 *m2 *n1 *n2  *r216

               2   6   4   4   17   2              2   6   4   4   15   4
      - 188*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   4   13   6               2   6   4   4   11   8
      + 800*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 280*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   6   18   4              2   5   6   18   2   2
      - 28*a33 *m1 *m2 *n1  *n2 *r214 + 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   16   6               2   5   6   16   4   2
      + 284*a33 *m1 *m2 *n1  *n2 *r214 - 584*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   16   2   4               2   5   6   14   8
      + 172*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 228*a33 *m1 *m2 *n1  *n2 *r214

                2   5   6   14   6   2
      + 2240*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   14   4   4               2   5   6   14   2   6
      - 2180*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 144*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   12   10               2   5   6   12   8   2
      - 780*a33 *m1 *m2 *n1  *n2  *r214 + 224*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   12   6   4
      + 4756*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   12   4   6               2   5   6   12   2   8
      - 1600*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 336*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   10   12                2   5   6   10   10   2
      + 276*a33 *m1 *m2 *n1  *n2  *r214 - 3640*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   5   6   10   8   4
      + 1348*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   10   6   6
      + 4400*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   10   4   8               2   5   6   8   14
      + 1008*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 396*a33 *m1 *m2 *n1 *n2  *r214

               2   5   6   8   12   2                2   5   6   8   10   4
      + 168*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 5604*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   6   8   8   6                2   5   6   8   6   8
      + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 1344*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   6   16                2   5   6   6   14   2
      - 116*a33 *m1 *m2 *n1 *n2  *r214 + 1008*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   6   6   12   4                2   5   6   6   10   6
      + 844*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 5008*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   6   8   8             2   5   6   4   18
      - 1344*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *r214

               2   5   6   4   16   2               2   5   6   4   14   4
      - 176*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 612*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   4   12   6
      + 1088*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   4   10   8             2   5   6   2   18   2
      - 1008*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   6   2   16   4               2   5   6   2   14   6
      - 76*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 144*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   6   2   12   8              2   5   5   17   6
      + 336*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 12*a33 *m1 *m2 *n1  *n2 *r216

              2   5   5   17   4   2              2   5   5   17   2   4
      - 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   15   8               2   5   5   15   6   2
      - 84*a33 *m1 *m2 *n1  *n2 *r216 + 258*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   15   4   4              2   5   5   15   2   6
      - 218*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   13   10               2   5   5   13   8   2
      - 84*a33 *m1 *m2 *n1  *n2  *r216 - 342*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   13   6   4               2   5   5   13   4   6
      + 750*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 432*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   13   2   8               2   5   5   11   12
      + 168*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 252*a33 *m1 *m2 *n1  *n2  *r216

                2   5   5   11   10   2
      - 1170*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   5   5   11   8   4              2   5   5   11   6   6
      + 202*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   11   4   8               2   5   5   9   14
      - 56*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 252*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   9   12   2                2   5   5   9   10   4
      + 246*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2078*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   9   8   6               2   5   5   9   6   8
      + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 896*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5   7   16                2   5   5   7   14   2
      - 84*a33 *m1 *m2 *n1 *n2  *r216 + 1098*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   7   12   4                2   5   5   7   10   6
      - 498*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1248*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   7   8   8              2   5   5   5   18
      - 672*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 84*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   5   16   2               2   5   5   5   14   4
      + 162*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 918*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   5   12   6               2   5   5   5   10   8
      - 208*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 280*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5   3   20               2   5   5   3   18   2
      + 12*a33 *m1 *m2 *n1 *n2  *r216 - 138*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   3   16   4               2   5   5   3   14   6
      + 114*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 656*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   3   12   8             2   4   7   19   3
      + 280*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   4   7   17   5              2   4   7   17   3   2
      - 108*a33 *m1 *m2 *n1  *n2 *r214 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   7   15   7                2   4   7   15   5   2
      + 332*a33 *m1 *m2 *n1  *n2 *r214 - 1092*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   7   15   3   4               2   4   7   13   9
      + 380*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 284*a33 *m1 *m2 *n1  *n2 *r214

                2   4   7   13   7   2
      + 1568*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   13   5   4              2   4   7   13   3   6
      - 2720*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   7   11   11                2   4   7   11   9   2
      - 620*a33 *m1 *m2 *n1  *n2  *r214 + 2156*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   11   7   4
      + 2860*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   11   5   6               2   4   7   11   3   8
      - 1760*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 560*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   7   9   13                2   4   7   9   11   2
      - 220*a33 *m1 *m2 *n1 *n2  *r214 - 2016*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   7   9   9   4                2   4   7   9   7   6
      + 3552*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 3664*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   7   9   5   8               2   4   7   7   15
      + 560*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 220*a33 *m1 *m2 *n1 *n2  *r214

               2   4   7   7   13   2                2   4   7   7   11   4
      - 868*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 3300*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   7   7   9   6                2   4   7   7   7   8
      + 2272*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 1792*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   5   17               2   4   7   5   15   2
      - 20*a33 *m1 *m2 *n1 *n2  *r214 + 512*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   5   13   4                2   4   7   5   11   6
      - 512*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 3248*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   5   9   8              2   4   7   3   17   2
      - 224*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   3   15   4              2   4   7   3   13   6
      + 364*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   3   11   8              2   4   7      17   4
      - 784*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   4   7      15   6               2   4   7      13   8
      + 80*a33 *m1 *m2 *n1*n2  *n3 *r214 + 112*a33 *m1 *m2 *n1*n2  *n3 *r214

             2   4   6   18   5             2   4   6   18   3   2
      - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   6   16   7              2   4   6   16   5   2
      + 44*a33 *m1 *m2 *n1  *n2 *r216 - 74*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   6   16   3   4              2   4   6   14   9
      + 50*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 56*a33 *m1 *m2 *n1  *n2 *r216

               2   4   6   14   7   2               2   4   6   14   5   4
      + 386*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 370*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   14   3   6               2   4   6   12   11
      + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 252*a33 *m1 *m2 *n1  *n2  *r216

               2   4   6   12   9   2               2   4   6   12   7   4
      + 202*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 510*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   12   5   6               2   4   6   12   3   8
      - 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 280*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   10   11   2
      - 1210*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   4   6   10   9   4               2   4   6   10   7   6
      + 890*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 320*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   10   5   8               2   4   6   8   15
      + 280*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 252*a33 *m1 *m2 *n1 *n2  *r216

               2   4   6   8   13   2                2   4   6   8   11   4
      - 722*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1366*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   8   9   6               2   4   6   8   7   8
      - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 672*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   6   17               2   4   6   6   15   2
      + 56*a33 *m1 *m2 *n1 *n2  *r216 + 554*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   6   13   4
      - 1098*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   6   11   6               2   4   6   6   9   8
      - 1104*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 896*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   4   19               2   4   6   4   17   2
      - 44*a33 *m1 *m2 *n1 *n2  *r216 + 274*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   4   15   4               2   4   6   4   13   6
      + 342*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 464*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   6   4   11   8             2   4   6   2   21
      - 56*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

              2   4   6   2   19   2               2   4   6   2   17   4
      - 52*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 114*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   2   15   6               2   4   6   2   13   8
      + 352*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   8   18   4               2   3   8   16   6
      + 16*a33 *m1 *m2 *n1  *n2 *r214 - 152*a33 *m1 *m2 *n1  *n2 *r214

               2   3   8   16   4   2              2   3   8   14   8
      + 184*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1  *n2 *r214

                2   3   8   14   6   2               2   3   8   14   4   4
      - 1008*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 440*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   12   10               2   3   8   12   8   2
      + 416*a33 *m1 *m2 *n1  *n2  *r214 + 112*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   8   12   6   4              2   3   8   12   4   6
      - 2040*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   3   8   10   12                2   3   8   10   10   2
      - 80*a33 *m1 *m2 *n1  *n2  *r214 + 1848*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   3   8   10   8   4                2   3   8   10   6   6
      + 528*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1600*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   10   4   8               2   3   8   8   14
      - 560*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 200*a33 *m1 *m2 *n1 *n2  *r214

               2   3   8   8   12   2                2   3   8   8   10   4
      - 168*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 2944*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   8   8   6               2   3   8   8   6   8
      + 1712*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   8   6   16               2   3   8   6   14   2
      + 40*a33 *m1 *m2 *n1 *n2  *r214 - 608*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   8   6   12   4                2   3   8   6   10   6
      - 696*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 2432*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   6   8   8               2   3   8   4   16   2
      + 1120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 104*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   8   4   14   4               2   3   8   4   12   6
      - 552*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 976*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   8   4   10   8              2   3   8   2   16   4
      + 352*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   8   2   14   6               2   3   8   2   12   8
      - 160*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 304*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   8   16   6              2   3   8   14   8
      + 16*a33 *m1 *m2 *n2  *n3 *r214 + 16*a33 *m1 *m2 *n2  *n3 *r214

             2   3   7   17   6             2   3   7   17   4   2
      - 8*a33 *m1 *m2 *n1  *n2 *r216 + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   7   15   8               2   3   7   15   6   2
      + 56*a33 *m1 *m2 *n1  *n2 *r216 - 116*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   15   4   4              2   3   7   13   10
      + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 56*a33 *m1 *m2 *n1  *n2  *r216

               2   3   7   13   8   2               2   3   7   13   6   4
      + 244*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 260*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   13   4   6               2   3   7   11   12
      + 320*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 168*a33 *m1 *m2 *n1  *n2  *r216

               2   3   7   11   10   2               2   3   7   11   8   4
      + 568*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 120*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   11   6   6               2   3   7   11   4   8
      + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 280*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   9   14               2   3   7   9   12   2
      - 168*a33 *m1 *m2 *n1 *n2  *r216 - 400*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   9   10   4              2   3   7   9   8   6
      + 832*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   9   6   8              2   3   7   7   16
      + 504*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 56*a33 *m1 *m2 *n1 *n2  *r216

               2   3   7   7   14   2               2   3   7   7   12   4
      - 748*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 356*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   7   7   10   6               2   3   7   7   8   8
      - 96*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   7   5   18             2   3   7   5   16   2
      + 56*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   5   14   4               2   3   7   5   12   6
      - 780*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 672*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   5   10   8             2   3   7   3   20
      - 560*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

               2   3   7   3   18   2              2   3   7   3   16   4
      + 136*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   3   14   6               2   3   7   3   12   8
      - 400*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 168*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   3   7      20   2              2   3   7      18   4
      - 8*a33 *m1 *m2 *n1*n2  *n3 *r216 + 48*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   7      16   6              2   3   7      14   8
      + 112*a33 *m1 *m2 *n1*n2  *n3 *r216 + 56*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   9   17   5              2   2   9   15   7
      + 24*a33 *m1 *m2 *n1  *n2 *r214 - 88*a33 *m1 *m2 *n1  *n2 *r214

               2   2   9   15   5   2              2   2   9   13   9
      + 176*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1  *n2 *r214

               2   2   9   13   7   2               2   2   9   13   5   4
      - 452*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 280*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   2   9   11   11               2   2   9   11   9   2
      + 144*a33 *m1 *m2 *n1  *n2  *r214 - 448*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   2   9   11   7   4               2   2   9   11   5   6
      - 956*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   2   9   9   13               2   2   9   9   11   2
      + 80*a33 *m1 *m2 *n1 *n2  *r214 + 588*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   9   9   9   4                2   2   9   9   7   6
      - 472*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 1088*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   9   5   8              2   2   9   7   15
      - 336*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 40*a33 *m1 *m2 *n1 *n2  *r214

               2   2   9   7   13   2                2   2   9   7   11   4
      + 272*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1140*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   9   7   9   6               2   2   9   7   7   8
      + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 336*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   5   15   2               2   2   9   5   13   4
      - 136*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 232*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   2   9   5   11   6               2   2   9   5   9   8
      + 1104*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 288*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   3   15   4               2   2   9   3   11   8
      - 144*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   9      15   6              2   2   9      13   8
      - 48*a33 *m1 *m2 *n1*n2  *n3 *r214 - 48*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   2   8   16   7              2   2   8   16   5   2
      - 12*a33 *m1 *m2 *n1  *n2 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   2   8   14   9              2   2   8   14   7   2
      + 24*a33 *m1 *m2 *n1  *n2 *r216 - 84*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   8   14   5   4              2   2   8   12   11
      + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 84*a33 *m1 *m2 *n1  *n2  *r216

              2   2   8   12   9   2              2   2   8   12   7   4
      + 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   8   12   5   6               2   2   8   10   11   2
      + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 384*a33 *m1 *m2 *n1  *n2  *n3 *r216

              2   2   8   10   9   4               2   2   8   10   7   6
      + 48*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 432*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   8   10   5   8              2   2   8   8   15
      + 168*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 84*a33 *m1 *m2 *n1 *n2  *r216

               2   2   8   8   13   2               2   2   8   8   11   4
      + 120*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 456*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   8   9   6               2   2   8   8   7   8
      + 352*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 392*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   6   17               2   2   8   6   15   2
      - 24*a33 *m1 *m2 *n1 *n2  *r216 - 252*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   6   13   4               2   2   8   6   11   6
      + 108*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 160*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   6   9   8              2   2   8   4   19
      + 176*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2  *r216

              2   2   8   4   17   2               2   2   8   4   15   4
      - 96*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 252*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   4   13   6               2   2   8   4   11   8
      - 192*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 144*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   8   2   19   2              2   2   8   2   17   4
      + 24*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   2   15   6              2   2   8   2   13   8
      - 176*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 88*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   2   8   19   4              2   2   8   17   6
      + 8*a33 *m1 *m2 *n2  *n3 *r216 + 16*a33 *m1 *m2 *n2  *n3 *r216

             2   2   8   15   8              2      10   16   6
      + 8*a33 *m1 *m2 *n2  *n3 *r216 + 16*a33 *m1*m2  *n1  *n2 *r214

              2      10   14   8              2      10   14   6   2
      - 12*a33 *m1*m2  *n1  *n2 *r214 + 84*a33 *m1*m2  *n1  *n2 *n3 *r214

              2      10   12   10              2      10   12   8   2
      - 52*a33 *m1*m2  *n1  *n2  *r214 - 72*a33 *m1*m2  *n1  *n2 *n3 *r214

              2      10   12   6   4             2      10   10   12
      + 92*a33 *m1*m2  *n1  *n2 *n3 *r214 - 4*a33 *m1*m2  *n1  *n2  *r214

               2      10   10   10   2               2      10   10   8   4
      - 224*a33 *m1*m2  *n1  *n2  *n3 *r214 - 276*a33 *m1*m2  *n1  *n2 *n3 *r214

              2      10   10   6   6              2      10   8   14
      - 80*a33 *m1*m2  *n1  *n2 *n3 *r214 + 20*a33 *m1*m2  *n1 *n2  *r214

              2      10   8   12   2               2      10   8   10   4
      + 16*a33 *m1*m2  *n1 *n2  *n3 *r214 - 364*a33 *m1*m2  *n1 *n2  *n3 *r214

               2      10   8   8   6               2      10   8   6   8
      - 448*a33 *m1*m2  *n1 *n2 *n3 *r214 - 112*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      10   6   14   2               2      10   6   12   4
      + 84*a33 *m1*m2  *n1 *n2  *n3 *r214 + 116*a33 *m1*m2  *n1 *n2  *n3 *r214

               2      10   6   10   6               2      10   6   8   8
      - 256*a33 *m1*m2  *n1 *n2  *n3 *r214 - 176*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   4   14   4               2      10   4   12   6
      + 112*a33 *m1*m2  *n1 *n2  *n3 *r214 + 160*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      10   4   10   8              2      10   2   14   6
      - 16*a33 *m1*m2  *n1 *n2  *n3 *r214 + 48*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      10   2   12   8             2      9   15   8
      + 48*a33 *m1*m2  *n1 *n2  *n3 *r214 - 8*a33 *m1*m2 *n1  *n2 *r216

             2      9   15   6   2             2      9   13   10
      + 8*a33 *m1*m2 *n1  *n2 *n3 *r216 - 4*a33 *m1*m2 *n1  *n2  *r216

              2      9   13   8   2              2      9   13   6   4
      - 26*a33 *m1*m2 *n1  *n2 *n3 *r216 + 50*a33 *m1*m2 *n1  *n2 *n3 *r216

              2      9   11   12              2      9   11   10   2
      + 28*a33 *m1*m2 *n1  *n2  *r216 - 22*a33 *m1*m2 *n1  *n2  *n3 *r216

              2      9   11   8   4              2      9   11   6   6
      + 62*a33 *m1*m2 *n1  *n2 *n3 *r216 + 96*a33 *m1*m2 *n1  *n2 *n3 *r216

              2      9   9   14               2      9   9   12   2
      + 28*a33 *m1*m2 *n1 *n2  *r216 + 106*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9   9   10   4               2      9   9   8   6
      + 78*a33 *m1*m2 *n1 *n2  *n3 *r216 + 240*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9   9   6   8             2      9   7   16
      + 56*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1 *n2  *r216

               2      9   7   14   2               2      9   7   12   4
      + 110*a33 *m1*m2 *n1 *n2  *n3 *r216 + 186*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      9   7   10   6               2      9   7   8   8
      + 272*a33 *m1*m2 *n1 *n2  *n3 *r216 + 152*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      9   5   18             2      9   5   16   2
      - 8*a33 *m1*m2 *n1 *n2  *r216 - 8*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      9   5   14   4               2      9   5   12   6
      + 120*a33 *m1*m2 *n1 *n2  *n3 *r216 + 176*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      9   5   10   8              2      9   3   18   2
      + 120*a33 *m1*m2 *n1 *n2  *n3 *r216 - 24*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9   3   16   4              2      9   3   14   6
      - 16*a33 *m1*m2 *n1 *n2  *n3 *r216 + 16*a33 *m1*m2 *n1 *n2  *n3 *r216

             2      9   3   12   8              2      9      18   4
      + 8*a33 *m1*m2 *n1 *n2  *n3 *r216 - 16*a33 *m1*m2 *n1*n2  *n3 *r216

              2      9      16   6              2      9      14   8
      - 32*a33 *m1*m2 *n1*n2  *n3 *r216 - 16*a33 *m1*m2 *n1*n2  *n3 *r216

             2   11   15   7             2   11   13   9
      + 4*a33 *m2  *n1  *n2 *r214 + 4*a33 *m2  *n1  *n2 *r214

              2   11   13   7   2             2   11   11   11
      + 16*a33 *m2  *n1  *n2 *n3 *r214 - 4*a33 *m2  *n1  *n2  *r214

             2   11   11   9   2              2   11   11   7   4
      + 4*a33 *m2  *n1  *n2 *n3 *r214 + 12*a33 *m2  *n1  *n2 *n3 *r214

             2   11   9   13              2   11   9   11   2
      - 4*a33 *m2  *n1 *n2  *r214 - 32*a33 *m2  *n1 *n2  *n3 *r214

              2   11   9   9   4              2   11   9   7   6
      - 40*a33 *m2  *n1 *n2 *n3 *r214 - 16*a33 *m2  *n1 *n2 *n3 *r214

              2   11   7   13   2              2   11   7   11   4
      - 20*a33 *m2  *n1 *n2  *n3 *r214 - 84*a33 *m2  *n1 *n2  *n3 *r214

              2   11   7   9   6              2   11   7   7   8
      - 80*a33 *m2  *n1 *n2 *n3 *r214 - 16*a33 *m2  *n1 *n2 *n3 *r214

              2   11   5   13   4              2   11   5   11   6
      - 32*a33 *m2  *n1 *n2  *n3 *r214 - 80*a33 *m2  *n1 *n2  *n3 *r214

              2   11   5   9   8              2   11   3   13   6
      - 32*a33 *m2  *n1 *n2 *n3 *r214 - 16*a33 *m2  *n1 *n2  *n3 *r214

              2   11   3   11   8             2   10   14   9
      - 16*a33 *m2  *n1 *n2  *n3 *r214 - 2*a33 *m2  *n1  *n2 *r216

             2   10   14   7   2             2   10   12   11
      + 2*a33 *m2  *n1  *n2 *n3 *r216 - 4*a33 *m2  *n1  *n2  *r216

             2   10   12   9   2              2   10   12   7   4
      - 2*a33 *m2  *n1  *n2 *n3 *r216 + 10*a33 *m2  *n1  *n2 *n3 *r216

             2   10   10   11   2              2   10   10   9   4
      - 6*a33 *m2  *n1  *n2  *n3 *r216 + 22*a33 *m2  *n1  *n2 *n3 *r216

              2   10   10   7   6             2   10   8   15
      + 16*a33 *m2  *n1  *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2  *r216

              2   10   8   13   2              2   10   8   11   4
      + 10*a33 *m2  *n1 *n2  *n3 *r216 + 30*a33 *m2  *n1 *n2  *n3 *r216

              2   10   8   9   6             2   10   8   7   8
      + 48*a33 *m2  *n1 *n2 *n3 *r216 + 8*a33 *m2  *n1 *n2 *n3 *r216

             2   10   6   17              2   10   6   15   2
      + 2*a33 *m2  *n1 *n2  *r216 + 20*a33 *m2  *n1 *n2  *n3 *r216

              2   10   6   13   4              2   10   6   11   6
      + 42*a33 *m2  *n1 *n2  *n3 *r216 + 64*a33 *m2  *n1 *n2  *n3 *r216

              2   10   6   9   8             2   10   4   17   2
      + 24*a33 *m2  *n1 *n2 *n3 *r216 + 8*a33 *m2  *n1 *n2  *n3 *r216

              2   10   4   15   4              2   10   4   13   6
      + 32*a33 *m2  *n1 *n2  *n3 *r216 + 48*a33 *m2  *n1 *n2  *n3 *r216

              2   10   4   11   8             2   10   2   17   4
      + 24*a33 *m2  *n1 *n2  *n3 *r216 + 8*a33 *m2  *n1 *n2  *n3 *r216

              2   10   2   15   6             2   10   2   13   8
      + 16*a33 *m2  *n1 *n2  *n3 *r216 + 8*a33 *m2  *n1 *n2  *n3 *r216

            10   14   9   2            10   14   7   4
      + 2*m1  *n1  *n2 *n3 *r496 - 8*m1  *n1  *n2 *n3 *r496

            10   14   5   6            10   12   11   2
      + 8*m1  *n1  *n2 *n3 *r496 + 4*m1  *n1  *n2  *n3 *r496

             10   12   9   4             10   12   7   6
      - 16*m1  *n1  *n2 *n3 *r496 + 16*m1  *n1  *n2 *n3 *r496

            10   10   13   2            10   10   11   4
      + 2*m1  *n1  *n2  *n3 *r496 - 8*m1  *n1  *n2  *n3 *r496

            10   10   9   6            9      15   10
      + 8*m1  *n1  *n2 *n3 *r496 + 2*m1 *m2*n1  *n2  *r496

             9      15   8   2             9      15   6   4
      - 15*m1 *m2*n1  *n2 *n3 *r496 + 29*m1 *m2*n1  *n2 *n3 *r496

             9      15   4   6            9      15   2   8
      - 16*m1 *m2*n1  *n2 *n3 *r496 + 4*m1 *m2*n1  *n2 *n3 *r496

            9      13   12             9      13   10   2
      + 6*m1 *m2*n1  *n2  *r496 - 25*m1 *m2*n1  *n2  *n3 *r496

            9      13   8   4             9      13   6   6
      + 7*m1 *m2*n1  *n2 *n3 *r496 + 32*m1 *m2*n1  *n2 *n3 *r496

             9      13   4   8            9      11   14
      + 12*m1 *m2*n1  *n2 *n3 *r496 + 6*m1 *m2*n1  *n2  *r496

            9      11   12   2             9      11   10   4
      - 5*m1 *m2*n1  *n2  *n3 *r496 - 73*m1 *m2*n1  *n2  *n3 *r496

              9      11   8   6             9      11   6   8
      + 112*m1 *m2*n1  *n2 *n3 *r496 + 12*m1 *m2*n1  *n2 *n3 *r496

            9      9   16            9      9   14   2
      + 2*m1 *m2*n1 *n2  *r496 + 5*m1 *m2*n1 *n2  *n3 *r496

             9      9   12   4             9      9   10   6
      - 51*m1 *m2*n1 *n2  *n3 *r496 + 64*m1 *m2*n1 *n2  *n3 *r496

            9      9   8   8            8   2   16   9
      + 4*m1 *m2*n1 *n2 *n3 *r496 - 7*m1 *m2 *n1  *n2 *r496

             8   2   16   7   2             8   2   16   5   4
      + 30*m1 *m2 *n1  *n2 *n3 *r496 - 35*m1 *m2 *n1  *n2 *n3 *r496

             8   2   16   3   6            8   2   16      8
      + 16*m1 *m2 *n1  *n2 *n3 *r496 - 4*m1 *m2 *n1  *n2*n3 *r496

             8   2   14   11             8   2   14   9   2
      - 10*m1 *m2 *n1  *n2  *r496 - 15*m1 *m2 *n1  *n2 *n3 *r496

              8   2   14   7   4             8   2   14   5   6
      + 121*m1 *m2 *n1  *n2 *n3 *r496 - 80*m1 *m2 *n1  *n2 *n3 *r496

             8   2   14   3   8             8   2   12   13
      + 20*m1 *m2 *n1  *n2 *n3 *r496 + 12*m1 *m2 *n1  *n2  *r496

              8   2   12   11   2              8   2   12   9   4
      - 135*m1 *m2 *n1  *n2  *n3 *r496 + 213*m1 *m2 *n1  *n2 *n3 *r496

             8   2   12   7   6             8   2   12   5   8
      + 24*m1 *m2 *n1  *n2 *n3 *r496 + 84*m1 *m2 *n1  *n2 *n3 *r496

             8   2   10   15              8   2   10   13   2
      + 26*m1 *m2 *n1  *n2  *r496 - 105*m1 *m2 *n1  *n2  *n3 *r496

             8   2   10   11   4              8   2   10   9   6
      - 77*m1 *m2 *n1  *n2  *n3 *r496 + 352*m1 *m2 *n1  *n2 *n3 *r496

             8   2   10   7   8             8   2   8   17
      + 92*m1 *m2 *n1  *n2 *n3 *r496 + 11*m1 *m2 *n1 *n2  *r496

             8   2   8   15   2              8   2   8   13   4
      - 15*m1 *m2 *n1 *n2  *n3 *r496 - 134*m1 *m2 *n1 *n2  *n3 *r496

              8   2   8   11   6             8   2   8   9   8
      + 232*m1 *m2 *n1 *n2  *n3 *r496 + 32*m1 *m2 *n1 *n2 *n3 *r496

            7   3   17   8             7   3   17   6   2
      + 9*m1 *m2 *n1  *n2 *r496 - 24*m1 *m2 *n1  *n2 *n3 *r496

             7   3   17   4   4            7   3   17   2   6
      + 19*m1 *m2 *n1  *n2 *n3 *r496 - 8*m1 *m2 *n1  *n2 *n3 *r496

             7   3   15   10              7   3   15   8   2
      - 11*m1 *m2 *n1  *n2  *r496 + 120*m1 *m2 *n1  *n2 *n3 *r496

              7   3   15   6   4             7   3   15   4   6
      - 185*m1 *m2 *n1  *n2 *n3 *r496 + 88*m1 *m2 *n1  *n2 *n3 *r496

             7   3   15   2   8             7   3   13   12
      - 32*m1 *m2 *n1  *n2 *n3 *r496 - 62*m1 *m2 *n1  *n2  *r496

              7   3   13   10   2              7   3   13   8   4
      + 180*m1 *m2 *n1  *n2  *n3 *r496 + 114*m1 *m2 *n1  *n2 *n3 *r496

              7   3   13   6   6             7   3   13   4   8
      - 144*m1 *m2 *n1  *n2 *n3 *r496 + 16*m1 *m2 *n1  *n2 *n3 *r496

             7   3   11   14              7   3   11   12   2
      - 30*m1 *m2 *n1  *n2  *r496 - 180*m1 *m2 *n1  *n2  *n3 *r496

              7   3   11   10   4             7   3   11   8   6
      + 682*m1 *m2 *n1  *n2  *n3 *r496 - 80*m1 *m2 *n1  *n2 *n3 *r496

              7   3   11   6   8             7   3   9   16
      + 240*m1 *m2 *n1  *n2 *n3 *r496 + 37*m1 *m2 *n1 *n2  *r496

              7   3   9   14   2              7   3   9   12   4
      - 300*m1 *m2 *n1 *n2  *n3 *r496 + 187*m1 *m2 *n1 *n2  *n3 *r496

              7   3   9   10   6              7   3   9   8   8
      + 664*m1 *m2 *n1 *n2  *n3 *r496 + 304*m1 *m2 *n1 *n2 *n3 *r496

             7   3   7   18             7   3   7   16   2
      + 25*m1 *m2 *n1 *n2  *r496 - 84*m1 *m2 *n1 *n2  *n3 *r496

              7   3   7   14   4              7   3   7   12   6
      - 177*m1 *m2 *n1 *n2  *n3 *r496 + 504*m1 *m2 *n1 *n2  *n3 *r496

              7   3   7   10   8            6   4   18   7
      + 112*m1 *m2 *n1 *n2  *n3 *r496 - 5*m1 *m2 *n1  *n2 *r496

            6   4   18   5   2            6   4   18   3   4
      + 8*m1 *m2 *n1  *n2 *n3 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             6   4   16   9              6   4   16   7   2
      + 33*m1 *m2 *n1  *n2 *r496 - 120*m1 *m2 *n1  *n2 *n3 *r496

              6   4   16   5   4             6   4   16   3   6
      + 103*m1 *m2 *n1  *n2 *n3 *r496 - 56*m1 *m2 *n1  *n2 *n3 *r496

             6   4   14   11              6   4   14   9   2
      + 44*m1 *m2 *n1  *n2  *r496 + 120*m1 *m2 *n1  *n2 *n3 *r496

              6   4   14   7   4              6   4   14   5   6
      - 390*m1 *m2 *n1  *n2 *n3 *r496 + 168*m1 *m2 *n1  *n2 *n3 *r496

              6   4   14   3   8             6   4   12   13
      - 112*m1 *m2 *n1  *n2 *n3 *r496 - 86*m1 *m2 *n1  *n2  *r496

              6   4   12   11   2              6   4   12   9   4
      + 580*m1 *m2 *n1  *n2  *n3 *r496 - 254*m1 *m2 *n1  *n2 *n3 *r496

              6   4   12   7   6              6   4   12   5   8
      - 112*m1 *m2 *n1  *n2 *n3 *r496 - 112*m1 *m2 *n1  *n2 *n3 *r496

              6   4   10   15              6   4   10   13   2
      - 117*m1 *m2 *n1  *n2  *r496 + 120*m1 *m2 *n1  *n2  *n3 *r496

               6   4   10   11   4              6   4   10   9   6
      + 1003*m1 *m2 *n1  *n2  *n3 *r496 - 224*m1 *m2 *n1  *n2 *n3 *r496

              6   4   10   7   8            6   4   8   17
      + 336*m1 *m2 *n1  *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *r496

              6   4   8   15   2              6   4   8   13   4
      - 372*m1 *m2 *n1 *n2  *n3 *r496 + 663*m1 *m2 *n1 *n2  *n3 *r496

              6   4   8   11   6              6   4   8   9   8
      + 840*m1 *m2 *n1 *n2  *n3 *r496 + 560*m1 *m2 *n1 *n2 *n3 *r496

             6   4   6   19              6   4   6   17   2
      + 30*m1 *m2 *n1 *n2  *r496 - 160*m1 *m2 *n1 *n2  *n3 *r496

             6   4   6   15   4              6   4   6   13   6
      - 96*m1 *m2 *n1 *n2  *n3 *r496 + 728*m1 *m2 *n1 *n2  *n3 *r496

              6   4   6   11   8          5   5   19   6
      + 224*m1 *m2 *n1 *n2  *n3 *r496 + m1 *m2 *n1  *n2 *r496

          5   5   19   4   2             5   5   17   8
      - m1 *m2 *n1  *n2 *n3 *r496 - 23*m1 *m2 *n1  *n2 *r496

             5   5   17   6   2             5   5   17   4   4
      + 41*m1 *m2 *n1  *n2 *n3 *r496 - 30*m1 *m2 *n1  *n2 *n3 *r496

             5   5   15   10              5   5   15   8   2
      + 30*m1 *m2 *n1  *n2  *r496 - 237*m1 *m2 *n1  *n2 *n3 *r496

              5   5   15   6   4              5   5   15   4   6
      + 219*m1 *m2 *n1  *n2 *n3 *r496 - 168*m1 *m2 *n1  *n2 *n3 *r496

              5   5   13   12              5   5   13   10   2
      + 138*m1 *m2 *n1  *n2  *r496 - 155*m1 *m2 *n1  *n2  *n3 *r496

              5   5   13   8   4             5   5   13   6   6
      - 415*m1 *m2 *n1  *n2 *n3 *r496 + 56*m1 *m2 *n1  *n2 *n3 *r496

              5   5   13   4   8            5   5   11   14
      - 224*m1 *m2 *n1  *n2 *n3 *r496 + 9*m1 *m2 *n1  *n2  *r496

              5   5   11   12   2              5   5   11   10   4
      + 715*m1 *m2 *n1  *n2  *n3 *r496 - 796*m1 *m2 *n1  *n2  *n3 *r496

              5   5   11   8   6              5   5   11   6   8
      - 112*m1 *m2 *n1  *n2 *n3 *r496 - 392*m1 *m2 *n1  *n2 *n3 *r496

              5   5   9   16              5   5   9   14   2
      - 135*m1 *m2 *n1 *n2  *r496 + 573*m1 *m2 *n1 *n2  *n3 *r496

              5   5   9   12   4              5   5   9   10   6
      + 726*m1 *m2 *n1 *n2  *n3 *r496 - 336*m1 *m2 *n1 *n2  *n3 *r496

              5   5   9   8   8             5   5   7   18
      + 168*m1 *m2 *n1 *n2 *n3 *r496 - 40*m1 *m2 *n1 *n2  *r496

              5   5   7   16   2              5   5   7   14   4
      - 181*m1 *m2 *n1 *n2  *n3 *r496 + 905*m1 *m2 *n1 *n2  *n3 *r496

              5   5   7   12   6              5   5   7   10   8
      + 728*m1 *m2 *n1 *n2  *n3 *r496 + 616*m1 *m2 *n1 *n2  *n3 *r496

             5   5   5   20              5   5   5   18   2
      + 20*m1 *m2 *n1 *n2  *r496 - 163*m1 *m2 *n1 *n2  *n3 *r496

             5   5   5   16   4              5   5   5   14   6
      + 47*m1 *m2 *n1 *n2  *n3 *r496 + 728*m1 *m2 *n1 *n2  *n3 *r496

              5   5   5   12   8            4   6   18   7
      + 280*m1 *m2 *n1 *n2  *n3 *r496 + 5*m1 *m2 *n1  *n2 *r496

            4   6   18   5   2             4   6   16   9
      - 5*m1 *m2 *n1  *n2 *n3 *r496 - 40*m1 *m2 *n1  *n2 *r496

             4   6   16   7   2             4   6   16   5   4
      + 85*m1 *m2 *n1  *n2 *n3 *r496 - 75*m1 *m2 *n1  *n2 *n3 *r496

             4   6   14   11              4   6   14   9   2
      - 30*m1 *m2 *n1  *n2  *r496 - 225*m1 *m2 *n1  *n2 *n3 *r496

              4   6   14   7   4              4   6   14   5   6
      + 215*m1 *m2 *n1  *n2 *n3 *r496 - 280*m1 *m2 *n1  *n2 *n3 *r496

              4   6   12   13              4   6   12   11   2
      + 135*m1 *m2 *n1  *n2  *r496 - 475*m1 *m2 *n1  *n2  *n3 *r496

              4   6   12   9   4              4   6   12   7   6
      - 250*m1 *m2 *n1  *n2 *n3 *r496 - 280*m1 *m2 *n1  *n2 *n3 *r496

              4   6   12   5   8              4   6   10   15
      - 280*m1 *m2 *n1  *n2 *n3 *r496 + 117*m1 *m2 *n1  *n2  *r496

              4   6   10   13   2              4   6   10   11   4
      + 335*m1 *m2 *n1  *n2  *n3 *r496 - 996*m1 *m2 *n1  *n2  *n3 *r496

              4   6   10   9   6              4   6   10   7   8
      - 336*m1 *m2 *n1  *n2 *n3 *r496 - 616*m1 *m2 *n1  *n2 *n3 *r496

             4   6   8   17              4   6   8   15   2
      - 54*m1 *m2 *n1 *n2  *r496 + 645*m1 *m2 *n1 *n2  *n3 *r496

              4   6   8   13   4              4   6   8   11   6
      + 107*m1 *m2 *n1 *n2  *n3 *r496 - 448*m1 *m2 *n1 *n2  *n3 *r496

              4   6   8   9   8             4   6   6   19
      - 168*m1 *m2 *n1 *n2 *n3 *r496 - 44*m1 *m2 *n1 *n2  *r496

             4   6   6   17   2              4   6   6   15   4
      + 55*m1 *m2 *n1 *n2  *n3 *r496 + 677*m1 *m2 *n1 *n2  *n3 *r496

              4   6   6   13   6              4   6   6   11   8
      + 392*m1 *m2 *n1 *n2  *n3 *r496 + 392*m1 *m2 *n1 *n2  *n3 *r496

            4   6   4   21             4   6   4   19   2
      + 7*m1 *m2 *n1 *n2  *r496 - 95*m1 *m2 *n1 *n2  *n3 *r496

              4   6   4   17   4              4   6   4   15   6
      + 114*m1 *m2 *n1 *n2  *n3 *r496 + 504*m1 *m2 *n1 *n2  *n3 *r496

              4   6   4   13   8             3   7   17   8
      + 224*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1  *n2 *r496

             3   7   17   6   2             3   7   15   10
      - 10*m1 *m2 *n1  *n2 *n3 *r496 - 30*m1 *m2 *n1  *n2  *r496

             3   7   15   8   2              3   7   15   6   4
      + 90*m1 *m2 *n1  *n2 *n3 *r496 - 100*m1 *m2 *n1  *n2 *n3 *r496

             3   7   13   12             3   7   13   10   2
      - 75*m1 *m2 *n1  *n2  *r496 - 90*m1 *m2 *n1  *n2  *n3 *r496

             3   7   13   8   4              3   7   13   6   6
      + 65*m1 *m2 *n1  *n2 *n3 *r496 - 280*m1 *m2 *n1  *n2 *n3 *r496

             3   7   11   14              3   7   11   12   2
      + 33*m1 *m2 *n1  *n2  *r496 - 470*m1 *m2 *n1  *n2  *n3 *r496

              3   7   11   10   4              3   7   11   8   6
      - 135*m1 *m2 *n1  *n2  *n3 *r496 - 504*m1 *m2 *n1  *n2 *n3 *r496

              3   7   11   6   8              3   7   9   16
      - 224*m1 *m2 *n1  *n2 *n3 *r496 + 100*m1 *m2 *n1 *n2  *r496

             3   7   9   14   2              3   7   9   12   4
      - 90*m1 *m2 *n1 *n2  *n3 *r496 - 754*m1 *m2 *n1 *n2  *n3 *r496

              3   7   9   10   6              3   7   9   8   8
      - 560*m1 *m2 *n1 *n2  *n3 *r496 - 560*m1 *m2 *n1 *n2 *n3 *r496

             3   7   7   18              3   7   7   16   2
      + 12*m1 *m2 *n1 *n2  *r496 + 330*m1 *m2 *n1 *n2  *n3 *r496

              3   7   7   14   4              3   7   7   12   6
      - 262*m1 *m2 *n1 *n2  *n3 *r496 - 496*m1 *m2 *n1 *n2  *n3 *r496

              3   7   7   10   8             3   7   5   20
      - 336*m1 *m2 *n1 *n2  *n3 *r496 - 19*m1 *m2 *n1 *n2  *r496

              3   7   5   18   2              3   7   5   16   4
      + 110*m1 *m2 *n1 *n2  *n3 *r496 + 273*m1 *m2 *n1 *n2  *n3 *r496

             3   7   5   14   6              3   7   5   12   8
      + 72*m1 *m2 *n1 *n2  *n3 *r496 + 112*m1 *m2 *n1 *n2  *n3 *r496

          3   7   3   22             3   7   3   20   2
      + m1 *m2 *n1 *n2  *r496 - 30*m1 *m2 *n1 *n2  *n3 *r496

             3   7   3   18   4              3   7   3   16   6
      + 81*m1 *m2 *n1 *n2  *n3 *r496 + 232*m1 *m2 *n1 *n2  *n3 *r496

              3   7   3   14   8             2   8   16   9
      + 112*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1  *n2 *r496

             2   8   16   7   2            2   8   14   11
      - 10*m1 *m2 *n1  *n2 *n3 *r496 - 5*m1 *m2 *n1  *n2  *r496

             2   8   14   9   2             2   8   14   7   4
      + 50*m1 *m2 *n1  *n2 *n3 *r496 - 75*m1 *m2 *n1  *n2 *n3 *r496

             2   8   12   13            2   8   12   11   2
      - 51*m1 *m2 *n1  *n2  *r496 + 6*m1 *m2 *n1  *n2  *n3 *r496

             2   8   12   9   4              2   8   12   7   6
      - 51*m1 *m2 *n1  *n2 *n3 *r496 - 168*m1 *m2 *n1  *n2 *n3 *r496

             2   8   10   15              2   8   10   13   2
      - 26*m1 *m2 *n1  *n2  *r496 - 230*m1 *m2 *n1  *n2  *n3 *r496

              2   8   10   11   4              2   8   10   9   6
      - 110*m1 *m2 *n1  *n2  *n3 *r496 - 392*m1 *m2 *n1  *n2 *n3 *r496

              2   8   10   7   8             2   8   8   17
      - 112*m1 *m2 *n1  *n2 *n3 *r496 + 28*m1 *m2 *n1 *n2  *r496

              2   8   8   15   2              2   8   8   13   4
      - 170*m1 *m2 *n1 *n2  *n3 *r496 - 386*m1 *m2 *n1 *n2  *n3 *r496

              2   8   8   11   6              2   8   8   9   8
      - 464*m1 *m2 *n1 *n2  *n3 *r496 - 304*m1 *m2 *n1 *n2 *n3 *r496

             2   8   6   19             2   8   6   17   2
      + 15*m1 *m2 *n1 *n2  *r496 + 60*m1 *m2 *n1 *n2  *n3 *r496

              2   8   6   15   4              2   8   6   13   6
      - 243*m1 *m2 *n1 *n2  *n3 *r496 - 360*m1 *m2 *n1 *n2  *n3 *r496

              2   8   6   11   8            2   8   4   21
      - 240*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

             2   8   4   19   2             2   8   4   17   4
      + 50*m1 *m2 *n1 *n2  *n3 *r496 + 37*m1 *m2 *n1 *n2  *n3 *r496

             2   8   4   15   6             2   8   4   13   8
      - 56*m1 *m2 *n1 *n2  *n3 *r496 - 16*m1 *m2 *n1 *n2  *n3 *r496

            2   8   2   21   2             2   8   2   19   4
      - 4*m1 *m2 *n1 *n2  *n3 *r496 + 28*m1 *m2 *n1 *n2  *n3 *r496

             2   8   2   17   6             2   8   2   15   8
      + 64*m1 *m2 *n1 *n2  *n3 *r496 + 32*m1 *m2 *n1 *n2  *n3 *r496

               9   15   10               9   15   8   2
      + 5*m1*m2 *n1  *n2  *r496 - 5*m1*m2 *n1  *n2 *n3 *r496

               9   13   12                9   13   10   2
      + 5*m1*m2 *n1  *n2  *r496 + 13*m1*m2 *n1  *n2  *n3 *r496

                9   13   8   4                9   11   14
      - 30*m1*m2 *n1  *n2 *n3 *r496 - 12*m1*m2 *n1  *n2  *r496

                9   11   12   2                9   11   10   4
      + 15*m1*m2 *n1  *n2  *n3 *r496 - 47*m1*m2 *n1  *n2  *n3 *r496

                9   11   8   6                9   9   16
      - 56*m1*m2 *n1  *n2 *n3 *r496 - 16*m1*m2 *n1 *n2  *r496

                9   9   14   2                9   9   12   4
      - 55*m1*m2 *n1 *n2  *n3 *r496 - 65*m1*m2 *n1 *n2  *n3 *r496

                 9   9   10   6                9   9   8   8
      - 152*m1*m2 *n1 *n2  *n3 *r496 - 32*m1*m2 *n1 *n2 *n3 *r496

             9   7   18                9   7   16   2
      - m1*m2 *n1 *n2  *r496 - 70*m1*m2 *n1 *n2  *n3 *r496

                 9   7   14   4                 9   7   12   6
      - 129*m1*m2 *n1 *n2  *n3 *r496 - 192*m1*m2 *n1 *n2  *n3 *r496

                9   7   10   8               9   5   20
      - 92*m1*m2 *n1 *n2  *n3 *r496 + 3*m1*m2 *n1 *n2  *r496

                9   5   18   2                9   5   16   4
      - 10*m1*m2 *n1 *n2  *n3 *r496 - 97*m1*m2 *n1 *n2  *n3 *r496

                 9   5   14   6                9   5   12   8
      - 144*m1*m2 *n1 *n2  *n3 *r496 - 84*m1*m2 *n1 *n2  *n3 *r496

               9   3   20   2                9   3   18   4
      + 8*m1*m2 *n1 *n2  *n3 *r496 - 12*m1*m2 *n1 *n2  *n3 *r496

                9   3   16   6                9   3   14   8
      - 40*m1*m2 *n1 *n2  *n3 *r496 - 20*m1*m2 *n1 *n2  *n3 *r496

               9      20   4               9      18   6
      + 4*m1*m2 *n1*n2  *n3 *r496 + 8*m1*m2 *n1*n2  *n3 *r496

               9      16   8          10   14   11          10   14   9   2
      + 4*m1*m2 *n1*n2  *n3 *r496 + m2  *n1  *n2  *r496 - m2  *n1  *n2 *n3 *r496

            10   12   13          10   12   11   2
      + 2*m2  *n1  *n2  *r496 + m2  *n1  *n2  *n3 *r496

            10   12   9   4            10   10   13   2
      - 5*m2  *n1  *n2 *n3 *r496 + 3*m2  *n1  *n2  *n3 *r496

             10   10   11   4            10   10   9   6
      - 11*m2  *n1  *n2  *n3 *r496 - 8*m2  *n1  *n2 *n3 *r496

            10   8   17            10   8   15   2
      - 2*m2  *n1 *n2  *r496 - 5*m2  *n1 *n2  *n3 *r496

             10   8   13   4             10   8   11   6
      - 15*m2  *n1 *n2  *n3 *r496 - 24*m2  *n1 *n2  *n3 *r496

            10   8   9   8          10   6   19             10   6   17   2
      - 4*m2  *n1 *n2 *n3 *r496 - m2  *n1 *n2  *r496 - 10*m2  *n1 *n2  *n3 *r496

             10   6   15   4             10   6   13   6
      - 21*m2  *n1 *n2  *n3 *r496 - 32*m2  *n1 *n2  *n3 *r496

             10   6   11   8            10   4   19   2
      - 12*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2  *n3 *r496

             10   4   17   4             10   4   15   6
      - 16*m2  *n1 *n2  *n3 *r496 - 24*m2  *n1 *n2  *n3 *r496

             10   4   13   8            10   2   19   4
      - 12*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2  *n3 *r496

            10   2   17   6            10   2   15   8
      - 8*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2  *n3 *r496)/(

        3   10   13   7   2         3   10   13   5   4
   4*a33 *m1  *n1  *n2 *n3  - 16*a33 *m1  *n1  *n2 *n3

            3   10   13   3   6        3   10   11   9   2
    + 16*a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

            3   10   11   7   4         3   10   11   5   6
    - 16*a33 *m1  *n1  *n2 *n3  + 16*a33 *m1  *n1  *n2 *n3

           3   10   9   11   2         3   10   9   9   4
    - 4*a33 *m1  *n1 *n2  *n3  + 16*a33 *m1  *n1 *n2 *n3

            3   10   9   7   6        3   10   7   13   2
    - 16*a33 *m1  *n1 *n2 *n3  - 4*a33 *m1  *n1 *n2  *n3

            3   10   7   11   4         3   10   7   9   6
    + 16*a33 *m1  *n1 *n2  *n3  - 16*a33 *m1  *n1 *n2 *n3

           3   9      14   8         3   9      14   6   2
    + 4*a33 *m1 *m2*n1  *n2  - 36*a33 *m1 *m2*n1  *n2 *n3

            3   9      14   4   4         3   9      14   2   6
    + 80*a33 *m1 *m2*n1  *n2 *n3  - 48*a33 *m1 *m2*n1  *n2 *n3

           3   9      12   10         3   9      12   8   2
    + 8*a33 *m1 *m2*n1  *n2   - 32*a33 *m1 *m2*n1  *n2 *n3

            3   9      12   4   6         3   9      10   10   2
    + 64*a33 *m1 *m2*n1  *n2 *n3  + 40*a33 *m1 *m2*n1  *n2  *n3

             3   9      10   8   4          3   9      10   6   6
    - 160*a33 *m1 *m2*n1  *n2 *n3  + 160*a33 *m1 *m2*n1  *n2 *n3

           3   9      8   14         3   9      8   12   2
    - 8*a33 *m1 *m2*n1 *n2   + 32*a33 *m1 *m2*n1 *n2  *n3

            3   9      8   8   6        3   9      6   16
    - 64*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

           3   9      6   14   2         3   9      6   12   4
    - 4*a33 *m1 *m2*n1 *n2  *n3  + 80*a33 *m1 *m2*n1 *n2  *n3

             3   9      6   10   6         3   8   2   15   7
    - 112*a33 *m1 *m2*n1 *n2  *n3  - 20*a33 *m1 *m2 *n1  *n2

             3   8   2   15   5   2          3   8   2   15   3   4
    + 104*a33 *m1 *m2 *n1  *n2 *n3  - 144*a33 *m1 *m2 *n1  *n2 *n3

            3   8   2   15      6         3   8   2   13   9
    + 48*a33 *m1 *m2 *n1  *n2*n3  - 24*a33 *m1 *m2 *n1  *n2

            3   8   2   13   7   2          3   8   2   13   5   4
    - 12*a33 *m1 *m2 *n1  *n2 *n3  + 288*a33 *m1 *m2 *n1  *n2 *n3

             3   8   2   13   3   6         3   8   2   11   11
    - 288*a33 *m1 *m2 *n1  *n2 *n3  + 32*a33 *m1 *m2 *n1  *n2

             3   8   2   11   9   2          3   8   2   11   7   4
    - 260*a33 *m1 *m2 *n1  *n2 *n3  + 432*a33 *m1 *m2 *n1  *n2 *n3

            3   8   2   11   5   6         3   8   2   9   13
    - 48*a33 *m1 *m2 *n1  *n2 *n3  + 40*a33 *m1 *m2 *n1 *n2

            3   8   2   9   11   2          3   8   2   9   9   4
    - 28*a33 *m1 *m2 *n1 *n2  *n3  - 432*a33 *m1 *m2 *n1 *n2 *n3

             3   8   2   9   7   6         3   8   2   7   15
    + 624*a33 *m1 *m2 *n1 *n2 *n3  - 12*a33 *m1 *m2 *n1 *n2

             3   8   2   7   13   2          3   8   2   7   11   4
    + 156*a33 *m1 *m2 *n1 *n2  *n3  - 288*a33 *m1 *m2 *n1 *n2  *n3

            3   8   2   5   17         3   8   2   5   15   2
    - 16*a33 *m1 *m2 *n1 *n2   + 40*a33 *m1 *m2 *n1 *n2  *n3

             3   8   2   5   13   4          3   8   2   5   11   6
    + 144*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2  *n3

            3   7   3   16   6          3   7   3   16   4   2
    + 40*a33 *m1 *m2 *n1  *n2  - 136*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   16   2   4         3   7   3   16   6
    + 112*a33 *m1 *m2 *n1  *n2 *n3  - 16*a33 *m1 *m2 *n1  *n3

             3   7   3   14   6   2          3   7   3   14   4   4
    + 288*a33 *m1 *m2 *n1  *n2 *n3  - 704*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   14   2   6          3   7   3   12   10
    + 320*a33 *m1 *m2 *n1  *n2 *n3  - 136*a33 *m1 *m2 *n1  *n2

             3   7   3   12   8   2         3   7   3   12   6   4
    + 520*a33 *m1 *m2 *n1  *n2 *n3  - 16*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   12   4   6         3   7   3   10   12
    - 656*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2

             3   7   3   10   10   2           3   7   3   10   8   4
    - 448*a33 *m1 *m2 *n1  *n2  *n3  + 1536*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   10   6   6          3   7   3   8   14
    - 768*a33 *m1 *m2 *n1  *n2 *n3  + 120*a33 *m1 *m2 *n1 *n2

             3   7   3   8   12   2          3   7   3   8   10   4
    - 504*a33 *m1 *m2 *n1 *n2  *n3  - 176*a33 *m1 *m2 *n1 *n2  *n3

              3   7   3   8   8   6         3   7   3   6   16
    + 1232*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2

             3   7   3   6   14   2          3   7   3   6   12   4
    + 160*a33 *m1 *m2 *n1 *n2  *n3  - 832*a33 *m1 *m2 *n1 *n2  *n3

             3   7   3   6   10   6         3   7   3   4   18
    + 448*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2

             3   7   3   4   16   2         3   7   3   4   14   4
    + 120*a33 *m1 *m2 *n1 *n2  *n3  + 80*a33 *m1 *m2 *n1 *n2  *n3

             3   7   3   4   12   6         3   6   4   17   5
    - 560*a33 *m1 *m2 *n1 *n2  *n3  - 40*a33 *m1 *m2 *n1  *n2

            3   6   4   17   3   2         3   6   4   17      4
    + 84*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2*n3

            3   6   4   15   7          3   6   4   15   5   2
    + 80*a33 *m1 *m2 *n1  *n2  - 532*a33 *m1 *m2 *n1  *n2 *n3

             3   6   4   15   3   4          3   6   4   15      6
    + 624*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2*n3

             3   6   4   13   9          3   6   4   13   7   2
    + 200*a33 *m1 *m2 *n1  *n2  - 140*a33 *m1 *m2 *n1  *n2 *n3

              3   6   4   13   5   4          3   6   4   13   3   6
    - 1184*a33 *m1 *m2 *n1  *n2 *n3  + 896*a33 *m1 *m2 *n1  *n2 *n3

             3   6   4   11   11           3   6   4   11   9   2
    - 144*a33 *m1 *m2 *n1  *n2   + 1372*a33 *m1 *m2 *n1  *n2 *n3

              3   6   4   11   7   4          3   6   4   11   5   6
    - 1616*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

             3   6   4   9   13          3   6   4   9   11   2
    - 248*a33 *m1 *m2 *n1 *n2   + 196*a33 *m1 *m2 *n1 *n2  *n3

              3   6   4   9   9   4           3   6   4   9   7   6
    + 2176*a33 *m1 *m2 *n1 *n2 *n3  - 2016*a33 *m1 *m2 *n1 *n2 *n3

            3   6   4   7   15          3   6   4   7   13   2
    + 80*a33 *m1 *m2 *n1 *n2   - 980*a33 *m1 *m2 *n1 *n2  *n3

              3   6   4   7   11   4           3   6   4   7   9   6
    + 1072*a33 *m1 *m2 *n1 *n2  *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

            3   6   4   5   17          3   6   4   5   15   2
    + 88*a33 *m1 *m2 *n1 *n2   - 140*a33 *m1 *m2 *n1 *n2  *n3

             3   6   4   5   13   4           3   6   4   5   11   6
    - 960*a33 *m1 *m2 *n1 *n2  *n3  + 1120*a33 *m1 *m2 *n1 *n2  *n3

            3   6   4   3   19          3   6   4   3   17   2
    - 16*a33 *m1 *m2 *n1 *n2   + 140*a33 *m1 *m2 *n1 *n2  *n3

            3   6   4   3   15   4          3   6   4   3   13   6
    - 80*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2  *n3

            3   5   5   18   4         3   5   5   18   2   2
    + 20*a33 *m1 *m2 *n1  *n2  - 20*a33 *m1 *m2 *n1  *n2 *n3

             3   5   5   16   6          3   5   5   16   4   2
    - 120*a33 *m1 *m2 *n1  *n2  + 384*a33 *m1 *m2 *n1  *n2 *n3

             3   5   5   16   2   4         3   5   5   14   8
    - 192*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1  *n2

             3   5   5   14   6   2           3   5   5   14   4   4
    - 616*a33 *m1 *m2 *n1  *n2 *n3  + 1392*a33 *m1 *m2 *n1  *n2 *n3

             3   5   5   14   2   6          3   5   5   12   10
    - 336*a33 *m1 *m2 *n1  *n2 *n3  + 360*a33 *m1 *m2 *n1  *n2

              3   5   5   12   8   2          3   5   5   12   6   4
    - 1344*a33 *m1 *m2 *n1  *n2 *n3  - 384*a33 *m1 *m2 *n1  *n2 *n3

              3   5   5   12   4   6          3   5   5   10   12
    + 1344*a33 *m1 *m2 *n1  *n2 *n3  + 144*a33 *m1 *m2 *n1  *n2

              3   5   5   10   10   2           3   5   5   10   8   4
    + 1176*a33 *m1 *m2 *n1  *n2  *n3  - 3312*a33 *m1 *m2 *n1  *n2 *n3

             3   5   5   10   6   6          3   5   5   8   14
    + 336*a33 *m1 *m2 *n1  *n2 *n3  - 312*a33 *m1 *m2 *n1 *n2

              3   5   5   8   12   2          3   5   5   8   10   4
    + 1344*a33 *m1 *m2 *n1 *n2  *n3  + 960*a33 *m1 *m2 *n1 *n2  *n3

              3   5   5   8   8   6         3   5   5   6   16
    - 2688*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2

             3   5   5   6   14   2           3   5   5   6   12   4
    - 616*a33 *m1 *m2 *n1 *n2  *n3  + 2064*a33 *m1 *m2 *n1 *n2  *n3

             3   5   5   6   10   6         3   5   5   4   18
    + 336*a33 *m1 *m2 *n1 *n2  *n3  + 72*a33 *m1 *m2 *n1 *n2

             3   5   5   4   16   2          3   5   5   4   14   4
    - 384*a33 *m1 *m2 *n1 *n2  *n3  - 384*a33 *m1 *m2 *n1 *n2  *n3

              3   5   5   4   12   6        3   5   5   2   20
    + 1344*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1 *n2

            3   5   5   2   18   2          3   5   5   2   16   4
    + 76*a33 *m1 *m2 *n1 *n2  *n3  - 144*a33 *m1 *m2 *n1 *n2  *n3

             3   5   5   2   14   6        3   4   6   19   3
    - 336*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1  *n2

            3   4   6   17   5          3   4   6   17   3   2
    + 72*a33 *m1 *m2 *n1  *n2  - 100*a33 *m1 *m2 *n1  *n2 *n3

            3   4   6   15   7          3   4   6   15   5   2
    - 80*a33 *m1 *m2 *n1  *n2  + 660*a33 *m1 *m2 *n1  *n2 *n3

             3   4   6   15   3   4          3   4   6   13   9
    - 480*a33 *m1 *m2 *n1  *n2 *n3  - 312*a33 *m1 *m2 *n1  *n2

             3   4   6   13   7   2           3   4   6   13   5   4
    + 140*a33 *m1 *m2 *n1  *n2 *n3  + 1520*a33 *m1 *m2 *n1  *n2 *n3

             3   4   6   13   3   6          3   4   6   11   11
    - 560*a33 *m1 *m2 *n1  *n2 *n3  + 144*a33 *m1 *m2 *n1  *n2

              3   4   6   11   9   2           3   4   6   11   7   4
    - 1820*a33 *m1 *m2 *n1  *n2 *n3  + 1280*a33 *m1 *m2 *n1  *n2 *n3

              3   4   6   11   5   6          3   4   6   9   13
    + 1120*a33 *m1 *m2 *n1  *n2 *n3  + 360*a33 *m1 *m2 *n1 *n2

             3   4   6   9   11   2           3   4   6   9   9   4
    - 196*a33 *m1 *m2 *n1 *n2  *n3  - 2960*a33 *m1 *m2 *n1 *n2 *n3

              3   4   6   9   7   6         3   4   6   7   15
    + 1232*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2

              3   4   6   7   13   2          3   4   6   7   11   4
    + 1428*a33 *m1 *m2 *n1 *n2  *n3  - 960*a33 *m1 *m2 *n1 *n2  *n3

              3   4   6   7   9   6          3   4   6   5   17
    - 2016*a33 *m1 *m2 *n1 *n2 *n3  - 120*a33 *m1 *m2 *n1 *n2

             3   4   6   5   15   2           3   4   6   5   13   4
    + 140*a33 *m1 *m2 *n1 *n2  *n3  + 1520*a33 *m1 *m2 *n1 *n2  *n3

             3   4   6   5   11   6         3   4   6   3   19
    - 560*a33 *m1 *m2 *n1 *n2  *n3  + 20*a33 *m1 *m2 *n1 *n2

             3   4   6   3   17   2          3   4   6   3   15   4
    - 268*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2  *n3

             3   4   6   3   13   6         3   4   6      19   2
    + 896*a33 *m1 *m2 *n1 *n2  *n3  + 16*a33 *m1 *m2 *n1*n2  *n3

            3   4   6      17   4          3   4   6      15   6
    - 80*a33 *m1 *m2 *n1*n2  *n3  - 112*a33 *m1 *m2 *n1*n2  *n3

            3   3   7   18   4         3   3   7   16   6
    - 16*a33 *m1 *m2 *n1  *n2  + 88*a33 *m1 *m2 *n1  *n2

             3   3   7   16   4   2         3   3   7   14   8
    - 200*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2

             3   3   7   14   6   2          3   3   7   14   4   4
    + 480*a33 *m1 *m2 *n1  *n2 *n3  - 640*a33 *m1 *m2 *n1  *n2 *n3

             3   3   7   12   10          3   3   7   12   8   2
    - 248*a33 *m1 *m2 *n1  *n2   + 840*a33 *m1 *m2 *n1  *n2 *n3

             3   3   7   12   6   4          3   3   7   12   4   6
    + 720*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

             3   3   7   10   12          3   3   7   10   10   2
    - 144*a33 *m1 *m2 *n1  *n2   - 896*a33 *m1 *m2 *n1  *n2  *n3

              3   3   7   10   8   4          3   3   7   10   6   6
    + 1856*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

             3   3   7   8   14          3   3   7   8   12   2
    + 200*a33 *m1 *m2 *n1 *n2   - 952*a33 *m1 *m2 *n1 *n2  *n3

              3   3   7   8   10   4           3   3   7   8   8   6
    - 1072*a33 *m1 *m2 *n1 *n2  *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

            3   3   7   6   16          3   3   7   6   14   2
    + 80*a33 *m1 *m2 *n1 *n2   + 480*a33 *m1 *m2 *n1 *n2  *n3

              3   3   7   6   12   4          3   3   7   6   10   6
    - 1408*a33 *m1 *m2 *n1 *n2  *n3  - 768*a33 *m1 *m2 *n1 *n2  *n3

            3   3   7   4   18          3   3   7   4   16   2
    - 40*a33 *m1 *m2 *n1 *n2   + 312*a33 *m1 *m2 *n1 *n2  *n3

             3   3   7   4   14   4          3   3   7   4   12   6
    + 368*a33 *m1 *m2 *n1 *n2  *n3  - 656*a33 *m1 *m2 *n1 *n2  *n3

            3   3   7   2   18   2          3   3   7   2   16   4
    - 64*a33 *m1 *m2 *n1 *n2  *n3  + 192*a33 *m1 *m2 *n1 *n2  *n3

             3   3   7   2   14   6         3   3   7   18   4
    + 320*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n2  *n3

            3   3   7   16   6         3   2   8   17   5
    - 16*a33 *m1 *m2 *n2  *n3  - 24*a33 *m1 *m2 *n1  *n2

            3   2   8   15   7          3   2   8   15   5   2
    + 32*a33 *m1 *m2 *n1  *n2  - 200*a33 *m1 *m2 *n1  *n2 *n3

             3   2   8   13   9         3   2   8   13   7   2
    + 120*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2 *n3

             3   2   8   13   5   4         3   2   8   11   11
    - 480*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2

             3   2   8   11   9   2         3   2   8   11   7   4
    + 644*a33 *m1 *m2 *n1  *n2 *n3  - 48*a33 *m1 *m2 *n1  *n2 *n3

             3   2   8   11   5   6          3   2   8   9   13
    - 336*a33 *m1 *m2 *n1  *n2 *n3  - 136*a33 *m1 *m2 *n1 *n2

            3   2   8   9   11   2           3   2   8   9   9   4
    + 28*a33 *m1 *m2 *n1 *n2  *n3  + 1056*a33 *m1 *m2 *n1 *n2 *n3

             3   2   8   7   13   2          3   2   8   7   11   4
    - 540*a33 *m1 *m2 *n1 *n2  *n3  + 144*a33 *m1 *m2 *n1 *n2  *n3

             3   2   8   7   9   6         3   2   8   5   17
    + 624*a33 *m1 *m2 *n1 *n2 *n3  + 40*a33 *m1 *m2 *n1 *n2

            3   2   8   5   15   2          3   2   8   5   13   4
    - 88*a33 *m1 *m2 *n1 *n2  *n3  - 624*a33 *m1 *m2 *n1 *n2  *n3

            3   2   8   5   11   6         3   2   8   3   17   2
    - 48*a33 *m1 *m2 *n1 *n2  *n3  + 96*a33 *m1 *m2 *n1 *n2  *n3

            3   2   8   3   15   4          3   2   8   3   13   6
    - 96*a33 *m1 *m2 *n1 *n2  *n3  - 288*a33 *m1 *m2 *n1 *n2  *n3

            3   2   8      17   4         3   2   8      15   6
    + 48*a33 *m1 *m2 *n1*n2  *n3  + 48*a33 *m1 *m2 *n1*n2  *n3

            3      9   16   6         3      9   14   8
    - 16*a33 *m1*m2 *n1  *n2  - 12*a33 *m1*m2 *n1  *n2

             3      9   14   6   2         3      9   12   10
    - 100*a33 *m1*m2 *n1  *n2 *n3  + 40*a33 *m1*m2 *n1  *n2

            3      9   12   8   2          3      9   12   6   4
    - 96*a33 *m1*m2 *n1  *n2 *n3  - 192*a33 *m1*m2 *n1  *n2 *n3

            3      9   10   12          3      9   10   10   2
    + 32*a33 *m1*m2 *n1  *n2   + 168*a33 *m1*m2 *n1  *n2  *n3

             3      9   10   8   4          3      9   10   6   6
    - 176*a33 *m1*m2 *n1  *n2 *n3  - 112*a33 *m1*m2 *n1  *n2 *n3

            3      9   8   14          3      9   8   12   2
    - 24*a33 *m1*m2 *n1 *n2   + 160*a33 *m1*m2 *n1 *n2  *n3

             3      9   8   10   4         3      9   8   8   6
    + 256*a33 *m1*m2 *n1 *n2  *n3  - 64*a33 *m1*m2 *n1 *n2 *n3

            3      9   6   16         3      9   6   14   2
    - 20*a33 *m1*m2 *n1 *n2   - 68*a33 *m1*m2 *n1 *n2  *n3

             3      9   6   12   4          3      9   6   10   6
    + 224*a33 *m1*m2 *n1 *n2  *n3  + 160*a33 *m1*m2 *n1 *n2  *n3

            3      9   4   16   2         3      9   4   14   4
    - 64*a33 *m1*m2 *n1 *n2  *n3  - 64*a33 *m1*m2 *n1 *n2  *n3

            3      9   4   12   6         3      9   2   16   4
    + 64*a33 *m1*m2 *n1 *n2  *n3  - 48*a33 *m1*m2 *n1 *n2  *n3

            3      9   2   14   6        3   10   15   7        3   10   13   9
    - 48*a33 *m1*m2 *n1 *n2  *n3  - 4*a33 *m2  *n1  *n2  - 8*a33 *m2  *n1  *n2

            3   10   13   7   2         3   10   11   9   2
    - 20*a33 *m2  *n1  *n2 *n3  - 36*a33 *m2  *n1  *n2 *n3

            3   10   11   7   4        3   10   9   13
    - 32*a33 *m2  *n1  *n2 *n3  + 8*a33 *m2  *n1 *n2

           3   10   9   11   2         3   10   9   9   4
    + 4*a33 *m2  *n1 *n2  *n3  - 48*a33 *m2  *n1 *n2 *n3

            3   10   9   7   6        3   10   7   15
    - 16*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2

            3   10   7   13   2         3   10   7   11   4
    + 36*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3

            3   10   7   9   6         3   10   5   15   2
    - 16*a33 *m2  *n1 *n2 *n3  + 16*a33 *m2  *n1 *n2  *n3

            3   10   5   13   4         3   10   5   11   6
    + 48*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3

            3   10   3   15   4         3   10   3   13   6
    + 16*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3 )


          2   11   17   7   2              2   11   17   5   4
r12=(4*a33 *m1  *n1  *n2 *n3 *r214 - 16*a33 *m1  *n1  *n2 *n3 *r214

              2   11   17   3   6             2   11   15   9   2
      + 16*a33 *m1  *n1  *n2 *n3 *r214 + 8*a33 *m1  *n1  *n2 *n3 *r214

              2   11   15   7   4              2   11   15   5   6
      - 28*a33 *m1  *n1  *n2 *n3 *r214 + 16*a33 *m1  *n1  *n2 *n3 *r214

              2   11   15   3   8              2   11   13   9   4
      + 16*a33 *m1  *n1  *n2 *n3 *r214 + 16*a33 *m1  *n1  *n2 *n3 *r214

              2   11   13   7   6              2   11   13   5   8
      - 64*a33 *m1  *n1  *n2 *n3 *r214 + 64*a33 *m1  *n1  *n2 *n3 *r214

             2   11   11   13   2              2   11   11   11   4
      - 8*a33 *m1  *n1  *n2  *n3 *r214 + 56*a33 *m1  *n1  *n2  *n3 *r214

               2   11   11   9   6              2   11   11   7   8
      - 128*a33 *m1  *n1  *n2 *n3 *r214 + 96*a33 *m1  *n1  *n2 *n3 *r214

             2   11   9   15   2              2   11   9   13   4
      - 4*a33 *m1  *n1 *n2  *n3 *r214 + 32*a33 *m1  *n1 *n2  *n3 *r214

              2   11   9   11   6              2   11   9   9   8
      - 80*a33 *m1  *n1 *n2  *n3 *r214 + 64*a33 *m1  *n1 *n2 *n3 *r214

             2   11   7   15   4              2   11   7   13   6
      + 4*a33 *m1  *n1 *n2  *n3 *r214 - 16*a33 *m1  *n1 *n2  *n3 *r214

              2   11   7   11   8             2   10      18   8
      + 16*a33 *m1  *n1 *n2  *n3 *r214 + 4*a33 *m1  *m2*n1  *n2 *r214

              2   10      18   6   2              2   10      18   4   4
      - 36*a33 *m1  *m2*n1  *n2 *n3 *r214 + 80*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   10      18   2   6              2   10      16   10
      - 48*a33 *m1  *m2*n1  *n2 *n3 *r214 + 12*a33 *m1  *m2*n1  *n2  *r214

              2   10      16   8   2              2   10      16   6   4
      - 56*a33 *m1  *m2*n1  *n2 *n3 *r214 + 12*a33 *m1  *m2*n1  *n2 *n3 *r214

               2   10      16   4   6              2   10      16   2   8
      + 128*a33 *m1  *m2*n1  *n2 *n3 *r214 - 48*a33 *m1  *m2*n1  *n2 *n3 *r214

             2   10      14   12              2   10      14   10   2
      + 8*a33 *m1  *m2*n1  *n2  *r214 + 52*a33 *m1  *m2*n1  *n2  *n3 *r214

               2   10      14   8   4               2   10      14   6   6
      - 396*a33 *m1  *m2*n1  *n2 *n3 *r214 + 560*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   10      14   4   8             2   10      12   14
      - 80*a33 *m1  *m2*n1  *n2 *n3 *r214 - 8*a33 *m1  *m2*n1  *n2  *r214

               2   10      12   12   2
      + 136*a33 *m1  *m2*n1  *n2  *n3 *r214

               2   10      12   10   4               2   10      12   8   6
      - 456*a33 *m1  *m2*n1  *n2  *n3 *r214 + 352*a33 *m1  *m2*n1  *n2 *n3 *r214

               2   10      12   6   8              2   10      10   16
      + 160*a33 *m1  *m2*n1  *n2 *n3 *r214 - 12*a33 *m1  *m2*n1  *n2  *r214

              2   10      10   14   2              2   10      10   12   4
      + 76*a33 *m1  *m2*n1  *n2  *n3 *r214 - 72*a33 *m1  *m2*n1  *n2  *n3 *r214

               2   10      10   10   6               2   10      10   8   8
      - 304*a33 *m1  *m2*n1  *n2  *n3 *r214 + 480*a33 *m1  *m2*n1  *n2 *n3 *r214

             2   10      8   18              2   10      8   16   2
      - 4*a33 *m1  *m2*n1 *n2  *r214 + 16*a33 *m1  *m2*n1 *n2  *n3 *r214

              2   10      8   14   4               2   10      8   12   6
      + 60*a33 *m1  *m2*n1 *n2  *n3 *r214 - 352*a33 *m1  *m2*n1 *n2  *n3 *r214

               2   10      8   10   8             2   10      6   18   2
      + 400*a33 *m1  *m2*n1 *n2  *n3 *r214 + 4*a33 *m1  *m2*n1 *n2  *n3 *r214

             2   10      6   16   4              2   10      6   14   6
      + 4*a33 *m1  *m2*n1 *n2  *n3 *r214 - 80*a33 *m1  *m2*n1 *n2  *n3 *r214

               2   10      6   12   8             2   10   17   8   2
      + 112*a33 *m1  *m2*n1 *n2  *n3 *r214 + 2*a33 *m1  *n1  *n2 *n3 *r216

             2   10   17   6   4             2   10   17   2   8
      - 6*a33 *m1  *n1  *n2 *n3 *r216 + 8*a33 *m1  *n1  *n2 *n3 *r216

             2   10   15   10   2              2   10   15   8   4
      + 6*a33 *m1  *n1  *n2  *n3 *r216 - 14*a33 *m1  *n1  *n2 *n3 *r216

              2   10   15   6   6              2   10   15   4   8
      - 16*a33 *m1  *n1  *n2 *n3 *r216 + 40*a33 *m1  *n1  *n2 *n3 *r216

             2   10   13   12   2             2   10   13   10   4
      + 4*a33 *m1  *n1  *n2  *n3 *r216 + 4*a33 *m1  *n1  *n2  *n3 *r216

              2   10   13   8   6              2   10   13   6   8
      - 64*a33 *m1  *n1  *n2 *n3 *r216 + 80*a33 *m1  *n1  *n2 *n3 *r216

             2   10   11   14   2              2   10   11   12   4
      - 4*a33 *m1  *n1  *n2  *n3 *r216 + 36*a33 *m1  *n1  *n2  *n3 *r216

              2   10   11   10   6              2   10   11   8   8
      - 96*a33 *m1  *n1  *n2  *n3 *r216 + 80*a33 *m1  *n1  *n2 *n3 *r216

             2   10   9   16   2              2   10   9   14   4
      - 6*a33 *m1  *n1 *n2  *n3 *r216 + 34*a33 *m1  *n1 *n2  *n3 *r216

              2   10   9   12   6              2   10   9   10   8
      - 64*a33 *m1  *n1 *n2  *n3 *r216 + 40*a33 *m1  *n1 *n2  *n3 *r216

             2   10   7   18   2              2   10   7   16   4
      - 2*a33 *m1  *n1 *n2  *n3 *r216 + 10*a33 *m1  *n1 *n2  *n3 *r216

              2   10   7   14   6             2   10   7   12   8
      - 16*a33 *m1  *n1 *n2  *n3 *r216 + 8*a33 *m1  *n1 *n2  *n3 *r216

              2   9   2   19   7               2   9   2   19   5   2
      - 20*a33 *m1 *m2 *n1  *n2 *r214 + 104*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   2   19   3   4              2   9   2   19      6
      - 144*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 48*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   9   2   17   9               2   9   2   17   5   4
      - 36*a33 *m1 *m2 *n1  *n2 *r214 + 408*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   2   17   3   6              2   9   2   17      8
      - 480*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 48*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   9   2   15   11               2   9   2   15   9   2
      + 40*a33 *m1 *m2 *n1  *n2  *r214 - 564*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   9   2   15   7   4               2   9   2   15   5   6
      + 1340*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 544*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   2   15   3   8               2   9   2   13   13
      - 144*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 120*a33 *m1 *m2 *n1  *n2  *r214

               2   9   2   13   11   2               2   9   2   13   9   4
      - 600*a33 *m1 *m2 *n1  *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   9   2   13   7   6               2   9   2   13   5   8
      + 1680*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 720*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   2   11   15              2   9   2   11   13   2
      + 60*a33 *m1 *m2 *n1  *n2  *r214 + 40*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   9   2   11   11   4
      - 1480*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   9   2   11   9   6               2   9   2   11   7   8
      + 2640*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 480*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   2   9   17               2   9   2   9   15   2
      - 20*a33 *m1 *m2 *n1 *n2  *r214 + 264*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   2   9   13   4               2   9   2   9   11   6
      - 904*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 608*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   2   9   9   8              2   9   2   7   19
      + 720*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   9   2   7   17   2               2   9   2   7   15   4
      + 100*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 132*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   2   7   13   6                2   9   2   7   11   8
      - 480*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1008*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   9   2   5   19   2              2   9   2   5   17   4
      + 16*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   2   5   15   6               2   9   2   5   13   8
      - 144*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 336*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   9      18   9              2   9      18   7   2
      + 2*a33 *m1 *m2*n1  *n2 *r216 - 14*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      18   5   4              2   9      18   3   6
      + 16*a33 *m1 *m2*n1  *n2 *n3 *r216 + 16*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      18      8             2   9      16   11
      - 16*a33 *m1 *m2*n1  *n2*n3 *r216 + 8*a33 *m1 *m2*n1  *n2  *r216

              2   9      16   9   2              2   9      16   7   4
      - 30*a33 *m1 *m2*n1  *n2 *n3 *r216 - 38*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   9      16   5   6              2   9      16   3   8
      + 144*a33 *m1 *m2*n1  *n2 *n3 *r216 - 24*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      14   13              2   9      14   11   2
      + 10*a33 *m1 *m2*n1  *n2  *r216 + 20*a33 *m1 *m2*n1  *n2  *n3 *r216

               2   9      14   9   4               2   9      14   7   6
      - 270*a33 *m1 *m2*n1  *n2 *n3 *r216 + 320*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   9      14   5   8               2   9      12   13   2
      + 120*a33 *m1 *m2*n1  *n2 *n3 *r216 + 100*a33 *m1 *m2*n1  *n2  *n3 *r216

               2   9      12   11   4               2   9      12   9   6
      - 380*a33 *m1 *m2*n1  *n2  *n3 *r216 + 160*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   9      12   7   8              2   9      10   17
      + 400*a33 *m1 *m2*n1  *n2 *n3 *r216 - 10*a33 *m1 *m2*n1  *n2  *r216

              2   9      10   15   2               2   9      10   13   4
      + 90*a33 *m1 *m2*n1  *n2  *n3 *r216 - 140*a33 *m1 *m2*n1  *n2  *n3 *r216

               2   9      10   11   6               2   9      10   9   8
      - 240*a33 *m1 *m2*n1  *n2  *n3 *r216 + 480*a33 *m1 *m2*n1  *n2 *n3 *r216

             2   9      8   19              2   9      8   17   2
      - 8*a33 *m1 *m2*n1 *n2  *r216 + 26*a33 *m1 *m2*n1 *n2  *n3 *r216

              2   9      8   15   4               2   9      8   13   6
      + 66*a33 *m1 *m2*n1 *n2  *n3 *r216 - 304*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   9      8   11   8             2   9      6   21
      + 264*a33 *m1 *m2*n1 *n2  *n3 *r216 - 2*a33 *m1 *m2*n1 *n2  *r216

              2   9      6   17   4              2   9      6   15   6
      + 42*a33 *m1 *m2*n1 *n2  *n3 *r216 - 96*a33 *m1 *m2*n1 *n2  *n3 *r216

              2   9      6   13   8              2   8   3   20   6
      + 56*a33 *m1 *m2*n1 *n2  *n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *r214

               2   8   3   20   4   2               2   8   3   20   2   4
      - 136*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 112*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   20   6               2   8   3   18   6   2
      - 16*a33 *m1 *m2 *n1  *n3 *r214 + 400*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   8   3   18   4   4               2   8   3   18   2   6
      - 1016*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 512*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   18   8               2   8   3   16   10
      - 16*a33 *m1 *m2 *n1  *n3 *r214 - 264*a33 *m1 *m2 *n1  *n2  *r214

                2   8   3   16   8   2               2   8   3   16   6   4
      + 1320*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 840*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   8   3   16   4   6               2   8   3   16   2   8
      - 1088*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 272*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   14   12              2   8   3   14   10   2
      - 280*a33 *m1 *m2 *n1  *n2  *r214 - 56*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   8   3   14   8   4
      + 3800*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   8   3   14   6   6               2   8   3   14   4   8
      - 4160*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   12   14                2   8   3   12   12   2
      + 120*a33 *m1 *m2 *n1  *n2  *r214 - 1960*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   8   3   12   10   4
      + 4520*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   8   3   12   8   6                2   8   3   12   6   8
      - 320*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1520*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   10   16                2   8   3   10   14   2
      + 240*a33 *m1 *m2 *n1  *n2  *r214 - 1176*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   8   3   10   12   4
      - 168*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   8   3   10   10   6
      + 5024*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   8   3   10   8   8              2   8   3   8   18
      - 2480*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1 *n2  *r214

              2   8   3   8   16   2                2   8   3   8   14   4
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 1496*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   3   8   12   6               2   8   3   8   10   8
      + 2912*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 336*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   8   3   6   20               2   8   3   6   18   2
      - 24*a33 *m1 *m2 *n1 *n2  *r214 + 160*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   3   6   16   4              2   8   3   6   14   6
      - 440*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   3   6   12   8              2   8   3   4   20   2
      + 1232*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   3   4   18   4              2   8   3   4   16   6
      - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   3   4   14   8             2   8   2   19   8
      + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n1  *n2 *r216

              2   8   2   19   6   2             2   8   2   19   4   4
      + 28*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   19   2   6             2   8   2   19   8
      - 32*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1  *n3 *r216

              2   8   2   17   10              2   8   2   17   8   2
      - 20*a33 *m1 *m2 *n1  *n2  *r216 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   17   6   4               2   8   2   17   4   6
      + 244*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 144*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   17   2   8              2   8   2   15   12
      - 72*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2  *r216

               2   8   2   15   10   2               2   8   2   15   8   4
      - 312*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 612*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   15   6   6               2   8   2   15   4   8
      + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 312*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   13   14               2   8   2   13   12   2
      + 80*a33 *m1 *m2 *n1  *n2  *r216 - 460*a33 *m1 *m2 *n1  *n2  *n3 *r216

              2   8   2   13   10   4                2   8   2   13   8   6
      - 20*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 1520*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   13   6   8              2   8   2   11   16
      - 200*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1  *n2  *r216

               2   8   2   11   14   2
      - 100*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   8   2   11   12   4
      - 1180*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   8   2   11   10   6
      + 1920*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   8   2   11   8   8              2   8   2   9   18
      + 600*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2  *r216

               2   8   2   9   16   2                2   8   2   9   14   4
      + 228*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1044*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   2   9   12   6                2   8   2   9   10   8
      + 528*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 1128*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   8   2   7   20               2   8   2   7   18   2
      - 20*a33 *m1 *m2 *n1 *n2  *r216 + 160*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   2   7   16   4               2   8   2   7   14   6
      - 196*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 464*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   2   7   12   8             2   8   2   5   22
      + 728*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

              2   8   2   5   20   2              2   8   2   5   18   4
      + 28*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 52*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   2   5   16   6               2   8   2   5   14   8
      - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   4   21   5              2   7   4   21   3   2
      - 40*a33 *m1 *m2 *n1  *n2 *r214 + 84*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   4   21      4               2   7   4   19   7
      - 32*a33 *m1 *m2 *n1  *n2*n3 *r214 + 120*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   19   5   2               2   7   4   19   3   4
      - 760*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 900*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   4   19      6               2   7   4   17   9
      - 176*a33 *m1 *m2 *n1  *n2*n3 *r214 + 440*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   17   7   2                2   7   4   17   5   4
      - 680*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1800*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   4   17   3   6               2   7   4   17      8
      + 1888*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 112*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   7   4   15   11                2   7   4   15   9   2
      - 56*a33 *m1 *m2 *n1  *n2  *r214 + 3160*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   4   15   7   4               2   7   4   15   5   6
      - 6600*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 800*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   4   15   3   8               2   7   4   13   13
      + 560*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 840*a33 *m1 *m2 *n1  *n2  *r214

                2   7   4   13   11   2
      + 3976*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   7   4   13   9   4                2   7   4   13   7   6
      + 360*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 8320*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   4   13   5   8               2   7   4   11   15
      + 1680*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 440*a33 *m1 *m2 *n1  *n2  *r214

               2   7   4   11   13   2
      - 616*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   7   4   11   11   4
      + 8568*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   7   4   11   9   6               2   7   4   11   7   8
      - 7840*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 560*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   4   9   17                2   7   4   9   15   2
      + 200*a33 *m1 *m2 *n1 *n2  *r214 - 2200*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   4   9   13   4
      + 4200*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   4   9   11   6                2   7   4   9   9   8
      + 2464*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 3920*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   7   19               2   7   4   7   17   2
      + 120*a33 *m1 *m2 *n1 *n2  *r214 - 520*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   4   7   15   4                2   7   4   7   13   6
      - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 3808*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   4   7   11   8              2   7   4   5   21
      - 2352*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   5   19   2               2   7   4   5   17   4
      + 100*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   4   5   15   6               2   7   4   5   13   8
      + 640*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   4   3   21   2               2   7   4   3   19   4
      + 16*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 140*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   4   3   17   6               2   7   4   3   15   8
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   3   20   7              2   7   3   20   5   2
      + 12*a33 *m1 *m2 *n1  *n2 *r216 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   20   3   4              2   7   3   20      6
      - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   7   3   18   7   2               2   7   3   18   5   4
      + 172*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 268*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   18   3   6              2   7   3   18      8
      - 80*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 56*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   7   3   16   11               2   7   3   16   9   2
      - 120*a33 *m1 *m2 *n1  *n2  *r216 + 540*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   16   7   4               2   7   3   16   5   6
      + 172*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 944*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   16   3   8               2   7   3   14   13
      - 56*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 192*a33 *m1 *m2 *n1  *n2  *r216

              2   7   3   14   11   2                2   7   3   14   9   4
      - 28*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 2380*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   3   14   7   6               2   7   3   14   5   8
      - 1360*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 840*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   3   12   13   2
      - 1300*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   7   3   12   11   4
      + 2980*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   7   3   12   9   6
      + 1520*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   3   12   7   8               2   7   3   10   17
      - 1400*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 192*a33 *m1 *m2 *n1  *n2  *r216

                2   7   3   10   15   2
      - 1260*a33 *m1 *m2 *n1  *n2  *n3 *r216

              2   7   3   10   13   4
      + 44*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   7   3   10   11   6
      + 4496*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   7   3   10   9   8               2   7   3   8   19
      - 280*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 120*a33 *m1 *m2 *n1 *n2  *r216

               2   7   3   8   17   2                2   7   3   8   15   4
      - 188*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1708*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   7   3   8   13   6
      + 2800*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   7   3   8   11   8               2   7   3   6   19   2
      + 1176*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 220*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   6   17   4              2   7   3   6   15   6
      - 748*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   7   3   6   13   8              2   7   3   4   23
      + 1064*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2  *r216

              2   7   3   4   21   2              2   7   3   4   19   4
      + 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   4   17   6               2   7   3   4   15   8
      - 320*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 280*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   5   22   4              2   6   5   22   2   2
      + 20*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   5   20   6               2   6   5   20   4   2
      - 180*a33 *m1 *m2 *n1  *n2 *r214 + 552*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   5   20   2   4               2   6   5   18   8
      - 276*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 200*a33 *m1 *m2 *n1  *n2 *r214

                2   6   5   18   6   2
      - 1020*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   18   4   4               2   6   5   18   2   6
      + 2644*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 752*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   5   16   10                2   6   5   16   8   2
      + 840*a33 *m1 *m2 *n1  *n2  *r214 - 4392*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   16   6   4
      + 1464*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   16   4   6               2   6   5   16   2   8
      + 3168*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 336*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   14   12              2   6   5   14   10   2
      + 1176*a33 *m1 *m2 *n1  *n2  *r214 - 56*a33 *m1 *m2 *n1  *n2  *n3 *r214

                 2   6   5   14   8   4
      - 11032*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   14   6   6               2   6   5   14   4   8
      + 6720*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 336*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   5   12   14                2   6   5   12   12   2
      - 280*a33 *m1 *m2 *n1  *n2  *r214 + 6552*a33 *m1 *m2 *n1  *n2  *n3 *r214

                 2   6   5   12   10   4
      - 10696*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   6   5   12   8   6
      - 5152*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   5   12   6   8               2   6   5   10   16
      + 3024*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 840*a33 *m1 *m2 *n1  *n2  *r214

                2   6   5   10   14   2
      + 3528*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   6   5   10   12   4
      + 3528*a33 *m1 *m2 *n1  *n2  *n3 *r214

                 2   6   5   10   10   6
      - 12768*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   6   5   10   8   8               2   6   5   8   18
      + 2352*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2  *r214

                2   6   5   8   16   2
      - 1000*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   8   14   4
      + 5656*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   8   12   6
      - 3360*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   8   10   8               2   6   5   6   20
      - 2352*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 100*a33 *m1 *m2 *n1 *n2  *r214

               2   6   5   6   18   2                2   6   5   6   16   4
      - 708*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1096*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   6   14   6
      + 1792*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   6   12   8             2   6   5   4   22
      - 3024*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

              2   6   5   4   20   2              2   6   5   4   18   4
      + 16*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   4   16   6               2   6   5   4   14   8
      + 480*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 336*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   6   5   2   22   2              2   6   5   2   20   4
      + 4*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 76*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   2   18   6               2   6   5   2   16   8
      + 144*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 336*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   6   4   21   6             2   6   4   21   4   2
      - 8*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   4   21   2   4              2   6   4   19   8
      + 10*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *r216

               2   6   4   19   6   2              2   6   4   19   4   4
      - 186*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 26*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   4   19   2   6               2   6   4   17   10
      + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 160*a33 *m1 *m2 *n1  *n2  *r216

              2   6   4   17   8   2                2   6   4   17   6   4
      - 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 1020*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   17   4   6               2   6   4   17   2   8
      + 208*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 168*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   4   15   10   2
      + 1540*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   4   15   8   4
      - 2100*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   4   15   6   6               2   6   4   15   4   8
      - 1680*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 280*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   13   14                2   6   4   13   12   2
      - 448*a33 *m1 *m2 *n1  *n2  *r216 + 2268*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   4   13   10   4
      + 1540*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   4   13   8   6               2   6   4   13   6   8
      - 5040*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 840*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   11   16              2   6   4   11   14   2
      - 448*a33 *m1 *m2 *n1  *n2  *r216 - 28*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   4   11   12   4
      + 6300*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   4   11   10   6
      - 2800*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   4   11   8   8
      - 2520*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   4   9   16   2
      - 1876*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   4   9   14   4
      + 4116*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   4   9   12   6
      + 3696*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   4   9   10   8               2   6   4   7   20
      - 1960*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 160*a33 *m1 *m2 *n1 *n2  *r216

                2   6   4   7   18   2               2   6   4   7   16   4
      - 1020*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 340*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   4   7   14   6               2   6   4   7   12   8
      + 4368*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   4   5   22              2   6   4   5   20   2
      + 40*a33 *m1 *m2 *n1 *n2  *r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   5   18   4               2   6   4   5   16   6
      - 870*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 880*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   5   14   8             2   6   4   3   24
      + 840*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

              2   6   4   3   22   2               2   6   4   3   20   4
      + 78*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 110*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   3   18   6               2   6   4   3   16   8
      - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 280*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   5   6   23   3               2   5   6   21   5
      - 4*a33 *m1 *m2 *n1  *n2 *r214 + 108*a33 *m1 *m2 *n1  *n2 *r214

               2   5   6   21   3   2               2   5   6   19   7
      - 144*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 168*a33 *m1 *m2 *n1  *n2 *r214

                2   5   6   19   5   2               2   5   6   19   3   4
      + 1308*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 964*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   17   9                2   5   6   17   7   2
      - 952*a33 *m1 *m2 *n1  *n2 *r214 + 1144*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   17   5   4
      + 3416*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   17   3   6               2   5   6   15   11
      - 1712*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 168*a33 *m1 *m2 *n1  *n2  *r214

                2   5   6   15   9   2
      - 5656*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   15   7   4
      + 8552*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   15   5   6               2   5   6   15   3   8
      + 1984*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 560*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   13   13                2   5   6   13   11   2
      + 1512*a33 *m1 *m2 *n1  *n2  *r214 - 6888*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   5   6   13   9   4
      - 4200*a33 *m1 *m2 *n1  *n2 *n3 *r214

                 2   5   6   13   7   6
      + 10976*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   13   5   8               2   5   6   11   15
      - 560*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 952*a33 *m1 *m2 *n1  *n2  *r214

                2   5   6   11   13   2
      + 1736*a33 *m1 *m2 *n1  *n2  *n3 *r214

                 2   5   6   11   11   4
      - 14840*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   5   6   11   9   6
      + 4256*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   11   7   8               2   5   6   9   17
      + 2352*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 312*a33 *m1 *m2 *n1 *n2  *r214

                2   5   6   9   15   2
      + 4312*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   9   13   4
      - 5096*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   9   11   6                2   5   6   9   9   8
      - 7840*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 3920*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   7   19               2   5   6   7   17   2
      - 228*a33 *m1 *m2 *n1 *n2  *r214 + 696*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   7   15   4
      + 2184*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   7   13   6               2   5   6   7   11   8
      - 4928*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   6   5   21               2   5   6   5   19   2
      + 28*a33 *m1 *m2 *n1 *n2  *r214 - 344*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   6   5   17   4               2   5   6   5   15   6
      + 968*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 224*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   5   13   8             2   5   6   3   21   2
      - 1680*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   6   3   19   4              2   5   6   3   17   6
      + 140*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   6   3   15   8              2   5   6      21   4
      - 560*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   5   6      19   6               2   5   6      17   8
      + 80*a33 *m1 *m2 *n1*n2  *n3 *r214 + 112*a33 *m1 *m2 *n1*n2  *n3 *r214

             2   5   5   22   5             2   5   5   22   3   2
      + 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   20   7              2   5   5   20   5   2
      - 40*a33 *m1 *m2 *n1  *n2 *r216 + 50*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   20   3   4              2   5   5   18   9
      + 50*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 30*a33 *m1 *m2 *n1  *n2 *r216

               2   5   5   18   7   2               2   5   5   18   5   4
      - 444*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 402*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   18   3   6               2   5   5   16   11
      + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 320*a33 *m1 *m2 *n1  *n2  *r216

                2   5   5   16   9   2
      - 1276*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   5   16   7   4
      - 1076*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   5   16   5   6               2   5   5   16   3   8
      + 1136*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 280*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   14   13               2   5   5   14   11   2
      + 560*a33 *m1 *m2 *n1  *n2  *r216 + 476*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   5   14   9   4               2   5   5   14   7   6
      - 5404*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 336*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   14   5   8
      + 840*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   5   12   13   2
      + 3780*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   5   12   11   4
      - 4452*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   5   12   9   6               2   5   5   12   7   8
      - 6384*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 168*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   10   17                2   5   5   10   15   2
      - 560*a33 *m1 *m2 *n1  *n2  *r216 + 3052*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   5   10   13   4
      + 3332*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   5   10   11   6
      - 7952*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   5   10   9   8               2   5   5   8   19
      - 1960*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 320*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   8   17   2                2   5   5   8   15   4
      - 236*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 5740*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   5   8   13   6
      - 1008*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   5   8   11   8              2   5   5   6   21
      - 2520*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 30*a33 *m1 *m2 *n1 *n2  *r216

                2   5   5   6   19   2
      - 1014*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   5   6   17   4
      + 1716*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   5   6   15   6               2   5   5   6   13   8
      + 3024*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 840*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5   4   23               2   5   5   4   21   2
      + 40*a33 *m1 *m2 *n1 *n2  *r216 - 206*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   4   19   4                2   5   5   4   17   6
      - 326*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 1136*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   4   15   8             2   5   5   2   25
      + 280*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

              2   5   5   2   23   2               2   5   5   2   21   4
      + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 110*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5   2   19   6               2   5   5   2   17   8
      - 96*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   7   22   4               2   4   7   20   6
      - 24*a33 *m1 *m2 *n1  *n2 *r214 + 200*a33 *m1 *m2 *n1  *n2 *r214

               2   4   7   20   4   2               2   4   7   18   8
      - 416*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 280*a33 *m1 *m2 *n1  *n2 *r214

                2   4   7   18   6   2
      + 1240*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   18   4   4               2   4   7   16   10
      - 1800*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 840*a33 *m1 *m2 *n1  *n2  *r214

                2   4   7   16   8   2
      + 4120*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   16   6   4
      + 1080*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   16   4   6                2   4   7   14   12
      - 2320*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1400*a33 *m1 *m2 *n1  *n2  *r214

               2   4   7   14   10   2
      - 616*a33 *m1 *m2 *n1  *n2  *n3 *r214

                 2   4   7   14   8   4
      + 10776*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   14   6   6               2   4   7   14   4   8
      - 1312*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 560*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   4   7   12   14                2   4   7   12   12   2
      + 56*a33 *m1 *m2 *n1  *n2  *r214 - 7000*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   4   7   12   10   4
      + 6888*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   4   7   12   8   6
      + 7840*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   12   6   8               2   4   7   10   16
      - 1232*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 840*a33 *m1 *m2 *n1  *n2  *r214

                2   4   7   10   14   2
      - 3496*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   4   7   10   12   4
      - 6120*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   4   7   10   10   6
      + 8416*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   4   7   10   8   8               2   4   7   8   18
      + 336*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 200*a33 *m1 *m2 *n1 *n2  *r214

                2   4   7   8   16   2
      + 1240*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   7   8   14   4               2   4   7   8   12   6
      - 5880*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 320*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   7   8   10   8              2   4   7   6   20
      + 2480*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2  *r214

               2   4   7   6   18   2               2   4   7   6   16   4
      + 760*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 600*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   7   6   14   6
      - 2080*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   7   6   12   8              2   4   7   4   20   2
      + 1520*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   4   18   4               2   4   7   4   16   6
      + 216*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 352*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   4   14   8              2   4   7   2   20   4
      - 240*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 48*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   2   18   6               2   4   7   2   16   8
      - 160*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 272*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   7   20   6              2   4   7   18   8
      + 16*a33 *m1 *m2 *n2  *n3 *r214 + 16*a33 *m1 *m2 *n2  *n3 *r214

              2   4   6   21   6             2   4   6   21   4   2
      + 12*a33 *m1 *m2 *n1  *n2 *r216 + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   6   19   8               2   4   6   19   6   2
      - 60*a33 *m1 *m2 *n1  *n2 *r216 + 200*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   19   4   4               2   4   6   17   10
      + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 240*a33 *m1 *m2 *n1  *n2  *r216

               2   4   6   17   8   2                2   4   6   17   6   4
      - 220*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 1060*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   17   4   6
      + 320*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   15   10   2
      - 2260*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   4   6   15   8   4                2   4   6   15   6   6
      + 820*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 2000*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   15   4   8               2   4   6   13   14
      + 280*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 672*a33 *m1 *m2 *n1  *n2  *r216

                2   4   6   13   12   2
      - 2604*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   4   6   13   10   4
      - 4564*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   4   6   13   8   6
      + 2576*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   13   6   8               2   4   6   11   16
      + 1064*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 672*a33 *m1 *m2 *n1  *n2  *r216

                2   4   6   11   14   2
      + 1036*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   4   6   11   12   4
      - 8428*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   4   6   11   10   6
      - 2576*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   4   6   11   8   8
      + 1176*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   9   16   2
      + 3220*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   9   14   4
      - 3220*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   9   12   6               2   4   6   9   10   8
      - 7280*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 280*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   7   20                2   4   6   7   18   2
      - 240*a33 *m1 *m2 *n1 *n2  *r216 + 1380*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   7   16   4
      + 2380*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   7   14   6
      - 3920*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   7   12   8              2   4   6   5   22
      - 1400*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 60*a33 *m1 *m2 *n1 *n2  *r216

               2   4   6   5   20   2                2   4   6   5   18   4
      - 220*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 1780*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   5   16   6               2   4   6   5   14   8
      + 560*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 840*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   6   3   24               2   4   6   3   22   2
      + 12*a33 *m1 *m2 *n1 *n2  *r216 - 164*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   3   20   4               2   4   6   3   18   6
      + 136*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 656*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   6   3   16   8             2   4   6      24   2
      - 56*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   4   6      22   4              2   4   6      20   6
      - 48*a33 *m1 *m2 *n1*n2  *n3 *r216 - 16*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   4   6      18   8              2   3   8   21   5
      + 56*a33 *m1 *m2 *n1*n2  *n3 *r216 - 56*a33 *m1 *m2 *n1  *n2 *r214

               2   3   8   19   7               2   3   8   19   5   2
      + 120*a33 *m1 *m2 *n1  *n2 *r214 - 624*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   17   9              2   3   8   17   7   2
      + 600*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   8   17   5   4               2   3   8   15   11
      - 1960*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 200*a33 *m1 *m2 *n1  *n2  *r214

                2   3   8   15   9   2
      + 3624*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   8   15   7   4
      - 2188*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   8   15   5   6               2   3   8   13   13
      - 1936*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 840*a33 *m1 *m2 *n1  *n2  *r214

                2   3   8   13   11   2
      + 3720*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   3   8   13   9   4
      + 5064*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   8   13   7   6               2   3   8   13   5   8
      - 3168*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 336*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   11   15                2   3   8   11   13   2
      - 696*a33 *m1 *m2 *n1  *n2  *r214 - 1240*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   3   8   11   11   4
      + 8200*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   3   8   11   9   6
      + 1632*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   8   11   7   8              2   3   8   9   17
      - 1008*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1 *n2  *r214

                2   3   8   9   15   2
      - 2604*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   9   13   4
      + 1720*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   9   11   6               2   3   8   9   9   8
      + 4720*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 720*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   7   19               2   3   8   7   17   2
      + 120*a33 *m1 *m2 *n1 *n2  *r214 - 480*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   7   15   4
      - 1740*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   7   13   6               2   3   8   7   11   8
      + 1680*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 480*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   8   5   19   2               2   3   8   5   17   4
      + 184*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 568*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   8   5   15   6               2   3   8   5   13   8
      - 96*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 720*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   8   3   19   4              2   3   8   3   17   6
      - 16*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   8   3   15   8              2   3   8      19   6
      + 144*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 48*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   8      17   8              2   3   7   20   7
      - 48*a33 *m1 *m2 *n1*n2  *n3 *r214 + 28*a33 *m1 *m2 *n1  *n2 *r216

              2   3   7   20   5   2               2   3   7   18   7   2
      + 12*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 340*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   18   5   4               2   3   7   16   11
      + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 280*a33 *m1 *m2 *n1  *n2  *r216

               2   3   7   16   9   2                2   3   7   16   7   4
      + 540*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 1300*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   16   5   6               2   3   7   14   13
      + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 448*a33 *m1 *m2 *n1  *n2  *r216

                2   3   7   14   11   2
      - 1132*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   3   7   14   9   4
      + 2796*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   3   7   14   7   6               2   3   7   14   5   8
      + 1808*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 168*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   3   7   12   13   2
      - 3220*a33 *m1 *m2 *n1  *n2  *n3 *r216

              2   3   7   12   11   4                2   3   7   12   9   6
      + 84*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 3696*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   12   7   8               2   3   7   10   17
      + 728*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 448*a33 *m1 *m2 *n1  *n2  *r216

                2   3   7   10   15   2
      - 2028*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   3   7   10   13   4
      - 4948*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   3   7   10   11   6
      + 1680*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   3   7   10   9   8               2   3   7   8   19
      + 1128*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 280*a33 *m1 *m2 *n1 *n2  *r216

               2   3   7   8   17   2                2   3   7   8   15   4
      + 580*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4620*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   7   8   13   6               2   3   7   8   11   8
      - 2480*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 600*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   6   19   2               2   3   7   6   17   4
      + 940*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 780*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   7   6   15   6               2   3   7   6   13   8
      - 2640*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 200*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   7   4   23               2   3   7   4   21   2
      - 28*a33 *m1 *m2 *n1 *n2  *r216 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   4   19   4               2   3   7   4   17   6
      + 556*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 432*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   4   15   8              2   3   7   2   23   2
      - 312*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   2   21   4               2   3   7   2   19   6
      + 144*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 176*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   7   2   17   8             2   3   7   23   4
      - 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n2  *n3 *r216

             2   3   7   19   8              2   2   9   20   6
      + 8*a33 *m1 *m2 *n2  *n3 *r216 - 64*a33 *m1 *m2 *n1  *n2 *r214

              2   2   9   18   8               2   2   9   18   6   2
      - 60*a33 *m1 *m2 *n1  *n2 *r214 - 516*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   2   9   16   10               2   2   9   16   8   2
      + 300*a33 *m1 *m2 *n1  *n2  *r214 - 936*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   9   16   6   4               2   2   9   14   12
      - 1252*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 520*a33 *m1 *m2 *n1  *n2  *r214

               2   2   9   14   10   2
      + 740*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   2   9   14   8   4               2   2   9   14   6   6
      - 2780*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 976*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   2   9   12   14                2   2   9   12   12   2
      + 120*a33 *m1 *m2 *n1  *n2  *r214 + 2440*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   2   9   12   10   4
      - 440*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   2   9   12   8   6               2   2   9   12   6   8
      - 2272*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 112*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   2   9   10   16                2   2   9   10   14   2
      - 204*a33 *m1 *m2 *n1  *n2  *r214 + 1260*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   2   9   10   12   4
      + 2760*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   2   9   10   10   6
      - 1040*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   2   9   10   8   8               2   2   9   8   18
      - 400*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 100*a33 *m1 *m2 *n1 *n2  *r214

               2   2   9   8   16   2                2   2   9   8   14   4
      - 256*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1900*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   9   8   12   6               2   2   9   8   10   8
      + 800*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 480*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   9   6   18   2               2   2   9   6   16   4
      - 236*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 148*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   9   6   14   6               2   2   9   6   12   8
      + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 160*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   9   4   18   4              2   2   9   4   16   6
      - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   9   4   14   8              2   2   9   2   18   6
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 48*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   9   2   16   8              2   2   8   19   8
      + 48*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 32*a33 *m1 *m2 *n1  *n2 *r216

             2   2   8   19   6   2              2   2   8   17   10
      + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1  *n2  *r216

               2   2   8   17   8   2              2   2   8   17   6   4
      + 290*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 50*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   2   8   15   12               2   2   8   15   10   2
      - 48*a33 *m1 *m2 *n1  *n2  *r216 + 870*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   2   8   15   8   4              2   2   8   15   6   6
      + 834*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   8   13   14               2   2   8   13   12   2
      - 320*a33 *m1 *m2 *n1  *n2  *r216 + 532*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   2   8   13   10   4
      + 2492*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   2   8   13   8   6              2   2   8   13   6   8
      + 880*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 56*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   8   11   16               2   2   8   11   14   2
      - 320*a33 *m1 *m2 *n1  *n2  *r216 - 980*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   2   8   11   12   4
      + 2452*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   2   8   11   10   6
      + 2256*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   2   8   11   8   8              2   2   8   9   18
      + 264*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2  *r216

                2   2   8   9   16   2               2   2   8   9   14   4
      - 1542*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 150*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   2   8   9   12   6               2   2   8   9   10   8
      + 2160*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 480*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   8   7   20               2   2   8   7   18   2
      + 80*a33 *m1 *m2 *n1 *n2  *r216 - 610*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   2   8   7   16   4               2   2   8   7   14   6
      - 1670*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 320*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   7   12   8              2   2   8   5   22
      + 400*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2  *r216

              2   2   8   5   20   2               2   2   8   5   18   4
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 856*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   5   16   6               2   2   8   5   14   8
      - 624*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 120*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   8   3   22   2              2   2   8   3   20   4
      + 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   3   18   6              2   2   8   3   16   8
      - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   8      22   4              2   2   8      20   6
      + 32*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   8      18   8              2      10   19   7
      - 16*a33 *m1 *m2 *n1*n2  *n3 *r216 - 36*a33 *m1*m2  *n1  *n2 *r214

               2      10   17   9               2      10   17   7   2
      - 100*a33 *m1*m2  *n1  *n2 *r214 - 224*a33 *m1*m2  *n1  *n2 *n3 *r214

              2      10   15   11               2      10   15   9   2
      - 40*a33 *m1*m2  *n1  *n2  *r214 - 668*a33 *m1*m2  *n1  *n2 *n3 *r214

               2      10   15   7   4               2      10   13   13
      - 436*a33 *m1*m2  *n1  *n2 *n3 *r214 + 120*a33 *m1*m2  *n1  *n2  *r214

               2      10   13   11   2
      - 520*a33 *m1*m2  *n1  *n2  *n3 *r214

                2      10   13   9   4               2      10   13   7   6
      - 1296*a33 *m1*m2  *n1  *n2 *n3 *r214 - 272*a33 *m1*m2  *n1  *n2 *n3 *r214

               2      10   11   15               2      10   11   13   2
      + 140*a33 *m1*m2  *n1  *n2  *r214 + 208*a33 *m1*m2  *n1  *n2  *n3 *r214

                2      10   11   11   4
      - 1176*a33 *m1*m2  *n1  *n2  *n3 *r214

               2      10   11   9   6              2      10   11   7   8
      - 752*a33 *m1*m2  *n1  *n2 *n3 *r214 - 16*a33 *m1*m2  *n1  *n2 *n3 *r214

              2      10   9   17               2      10   9   15   2
      + 44*a33 *m1*m2  *n1 *n2  *r214 + 424*a33 *m1*m2  *n1 *n2  *n3 *r214

               2      10   9   13   4               2      10   9   11   6
      - 112*a33 *m1*m2  *n1 *n2  *n3 *r214 - 640*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      10   9   9   8               2      10   7   17   2
      - 64*a33 *m1*m2  *n1 *n2 *n3 *r214 + 140*a33 *m1*m2  *n1 *n2  *n3 *r214

               2      10   7   15   4               2      10   7   13   6
      + 300*a33 *m1*m2  *n1 *n2  *n3 *r214 - 128*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      10   7   11   8              2      10   5   17   4
      - 96*a33 *m1*m2  *n1 *n2  *n3 *r214 + 96*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      10   5   15   6              2      10   5   13   8
      + 16*a33 *m1*m2  *n1 *n2  *n3 *r214 - 64*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      10   3   17   6              2      10   3   15   8
      - 16*a33 *m1*m2  *n1 *n2  *n3 *r214 - 16*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      9   18   9             2      9   18   7   2
      + 18*a33 *m1*m2 *n1  *n2 *r216 + 2*a33 *m1*m2 *n1  *n2 *n3 *r216

              2      9   16   11               2      9   16   9   2
      + 72*a33 *m1*m2 *n1  *n2  *r216 + 122*a33 *m1*m2 *n1  *n2 *n3 *r216

              2      9   16   7   4              2      9   14   13
      + 10*a33 *m1*m2 *n1  *n2 *n3 *r216 + 90*a33 *m1*m2 *n1  *n2  *r216

               2      9   14   11   2               2      9   14   9   4
      + 484*a33 *m1*m2 *n1  *n2  *n3 *r216 + 266*a33 *m1*m2 *n1  *n2 *n3 *r216

              2      9   14   7   6               2      9   12   13   2
      + 16*a33 *m1*m2 *n1  *n2 *n3 *r216 + 700*a33 *m1*m2 *n1  *n2  *n3 *r216

               2      9   12   11   4               2      9   12   9   6
      + 980*a33 *m1*m2 *n1  *n2  *n3 *r216 + 208*a33 *m1*m2 *n1  *n2 *n3 *r216

             2      9   12   7   8              2      9   10   17
      + 8*a33 *m1*m2 *n1  *n2 *n3 *r216 - 90*a33 *m1*m2 *n1  *n2  *r216

               2      9   10   15   2                2      9   10   13   4
      + 330*a33 *m1*m2 *n1  *n2  *n3 *r216 + 1420*a33 *m1*m2 *n1  *n2  *n3 *r216

               2      9   10   11   6              2      9   10   9   8
      + 640*a33 *m1*m2 *n1  *n2  *n3 *r216 + 40*a33 *m1*m2 *n1  *n2 *n3 *r216

              2      9   8   19               2      9   8   17   2
      - 72*a33 *m1*m2 *n1 *n2  *r216 - 158*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      9   8   15   4               2      9   8   13   6
      + 850*a33 *m1*m2 *n1 *n2  *n3 *r216 + 800*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9   8   11   8              2      9   6   21
      + 80*a33 *m1*m2 *n1 *n2  *n3 *r216 - 18*a33 *m1*m2 *n1 *n2  *r216

               2      9   6   19   2              2      9   6   17   4
      - 208*a33 *m1*m2 *n1 *n2  *n3 *r216 + 50*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      9   6   15   6              2      9   6   13   8
      + 400*a33 *m1*m2 *n1 *n2  *n3 *r216 + 80*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9   4   21   2               2      9   4   19   4
      - 56*a33 *m1*m2 *n1 *n2  *n3 *r216 - 144*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9   4   17   6              2      9   4   15   8
      + 16*a33 *m1*m2 *n1 *n2  *n3 *r216 + 40*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9   2   21   4              2      9   2   19   6
      - 40*a33 *m1*m2 *n1 *n2  *n3 *r216 - 32*a33 *m1*m2 *n1 *n2  *n3 *r216

             2      9   2   17   8             2   11   18   8
      + 8*a33 *m1*m2 *n1 *n2  *n3 *r216 - 8*a33 *m2  *n1  *n2 *r214

              2   11   16   10              2   11   16   8   2
      - 32*a33 *m2  *n1  *n2  *r214 - 40*a33 *m2  *n1  *n2 *n3 *r214

              2   11   14   12               2   11   14   10   2
      - 48*a33 *m2  *n1  *n2  *r214 - 152*a33 *m2  *n1  *n2  *n3 *r214

              2   11   14   8   4              2   11   12   14
      - 64*a33 *m2  *n1  *n2 *n3 *r214 - 32*a33 *m2  *n1  *n2  *r214

               2   11   12   12   2               2   11   12   10   4
      - 216*a33 *m2  *n1  *n2  *n3 *r214 - 224*a33 *m2  *n1  *n2  *n3 *r214

              2   11   12   8   6             2   11   10   16
      - 32*a33 *m2  *n1  *n2 *n3 *r214 - 8*a33 *m2  *n1  *n2  *r214

               2   11   10   14   2               2   11   10   12   4
      - 136*a33 *m2  *n1  *n2  *n3 *r214 - 288*a33 *m2  *n1  *n2  *n3 *r214

              2   11   10   10   6              2   11   8   16   2
      - 96*a33 *m2  *n1  *n2  *n3 *r214 - 32*a33 *m2  *n1 *n2  *n3 *r214

               2   11   8   14   4              2   11   8   12   6
      - 160*a33 *m2  *n1 *n2  *n3 *r214 - 96*a33 *m2  *n1 *n2  *n3 *r214

              2   11   6   16   4              2   11   6   14   6
      - 32*a33 *m2  *n1 *n2  *n3 *r214 - 32*a33 *m2  *n1 *n2  *n3 *r214

             2   10   17   10              2   10   15   12
      + 4*a33 *m2  *n1  *n2  *r216 + 20*a33 *m2  *n1  *n2  *r216

              2   10   15   10   2              2   10   13   14
      + 20*a33 *m2  *n1  *n2  *n3 *r216 + 40*a33 *m2  *n1  *n2  *r216

              2   10   13   12   2              2   10   13   10   4
      + 96*a33 *m2  *n1  *n2  *n3 *r216 + 32*a33 *m2  *n1  *n2  *n3 *r216

              2   10   11   16               2   10   11   14   2
      + 40*a33 *m2  *n1  *n2  *r216 + 184*a33 *m2  *n1  *n2  *n3 *r216

               2   10   11   12   4              2   10   11   10   6
      + 144*a33 *m2  *n1  *n2  *n3 *r216 + 16*a33 *m2  *n1  *n2  *n3 *r216

              2   10   9   18               2   10   9   16   2
      + 20*a33 *m2  *n1 *n2  *r216 + 176*a33 *m2  *n1 *n2  *n3 *r216

               2   10   9   14   4              2   10   9   12   6
      + 256*a33 *m2  *n1 *n2  *n3 *r216 + 64*a33 *m2  *n1 *n2  *n3 *r216

             2   10   7   20              2   10   7   18   2
      + 4*a33 *m2  *n1 *n2  *r216 + 84*a33 *m2  *n1 *n2  *n3 *r216

               2   10   7   16   4              2   10   7   14   6
      + 224*a33 *m2  *n1 *n2  *n3 *r216 + 96*a33 *m2  *n1 *n2  *n3 *r216

              2   10   5   20   2              2   10   5   18   4
      + 16*a33 *m2  *n1 *n2  *n3 *r216 + 96*a33 *m2  *n1 *n2  *n3 *r216

              2   10   5   16   6              2   10   3   20   4
      + 64*a33 *m2  *n1 *n2  *n3 *r216 + 16*a33 *m2  *n1 *n2  *n3 *r216

              2   10   3   18   6          10   19   8   2
      + 16*a33 *m2  *n1 *n2  *n3 *r216 + m1  *n1  *n2 *n3 *r496

            10   19   6   4            10   19   2   8
      - 3*m1  *n1  *n2 *n3 *r496 + 4*m1  *n1  *n2 *n3 *r496

            10   17   10   2            10   17   8   4
      + 3*m1  *n1  *n2  *n3 *r496 - 7*m1  *n1  *n2 *n3 *r496

            10   17   6   6             10   17   4   8
      - 8*m1  *n1  *n2 *n3 *r496 + 20*m1  *n1  *n2 *n3 *r496

            10   15   12   2            10   15   10   4
      + 2*m1  *n1  *n2  *n3 *r496 + 2*m1  *n1  *n2  *n3 *r496

             10   15   8   6             10   15   6   8
      - 32*m1  *n1  *n2 *n3 *r496 + 40*m1  *n1  *n2 *n3 *r496

            10   13   14   2             10   13   12   4
      - 2*m1  *n1  *n2  *n3 *r496 + 18*m1  *n1  *n2  *n3 *r496

             10   13   10   6             10   13   8   8
      - 48*m1  *n1  *n2  *n3 *r496 + 40*m1  *n1  *n2 *n3 *r496

            10   11   16   2             10   11   14   4
      - 3*m1  *n1  *n2  *n3 *r496 + 17*m1  *n1  *n2  *n3 *r496

             10   11   12   6             10   11   10   8
      - 32*m1  *n1  *n2  *n3 *r496 + 20*m1  *n1  *n2  *n3 *r496

          10   9   18   2            10   9   16   4
      - m1  *n1 *n2  *n3 *r496 + 5*m1  *n1 *n2  *n3 *r496

            10   9   14   6            10   9   12   8
      - 8*m1  *n1 *n2  *n3 *r496 + 4*m1  *n1 *n2  *n3 *r496

          9      20   9            9      20   7   2
      + m1 *m2*n1  *n2 *r496 - 6*m1 *m2*n1  *n2 *n3 *r496

            9      20   5   4            9      20   3   6
      + 5*m1 *m2*n1  *n2 *n3 *r496 + 8*m1 *m2*n1  *n2 *n3 *r496

            9      20      8            9      18   11
      - 4*m1 *m2*n1  *n2*n3 *r496 + 4*m1 *m2*n1  *n2  *r496

             9      18   9   2             9      18   7   4
      - 11*m1 *m2*n1  *n2 *n3 *r496 - 29*m1 *m2*n1  *n2 *n3 *r496

             9      18   5   6             9      18   3   8
      + 64*m1 *m2*n1  *n2 *n3 *r496 + 12*m1 *m2*n1  *n2 *n3 *r496

            9      16   13             9      16   11   2
      + 5*m1 *m2*n1  *n2  *r496 + 15*m1 *m2*n1  *n2  *n3 *r496

              9      16   9   4              9      16   7   6
      - 140*m1 *m2*n1  *n2 *n3 *r496 + 120*m1 *m2*n1  *n2 *n3 *r496

              9      16   5   8             9      14   13   2
      + 120*m1 *m2*n1  *n2 *n3 *r496 + 50*m1 *m2*n1  *n2  *n3 *r496

              9      14   11   4              9      14   7   8
      - 170*m1 *m2*n1  *n2  *n3 *r496 + 280*m1 *m2*n1  *n2 *n3 *r496

            9      12   17             9      12   15   2
      - 5*m1 *m2*n1  *n2  *r496 + 40*m1 *m2*n1  *n2  *n3 *r496

             9      12   13   4              9      12   11   6
      - 35*m1 *m2*n1  *n2  *n3 *r496 - 200*m1 *m2*n1  *n2  *n3 *r496

              9      12   9   8            9      10   19
      + 300*m1 *m2*n1  *n2 *n3 *r496 - 4*m1 *m2*n1  *n2  *r496

            9      10   17   2             9      10   15   4
      + 9*m1 *m2*n1  *n2  *n3 *r496 + 55*m1 *m2*n1  *n2  *n3 *r496

              9      10   13   6              9      10   11   8
      - 192*m1 *m2*n1  *n2  *n3 *r496 + 156*m1 *m2*n1  *n2  *n3 *r496

          9      8   21          9      8   19   2
      - m1 *m2*n1 *n2  *r496 - m1 *m2*n1 *n2  *n3 *r496

             9      8   17   4             9      8   15   6
      + 26*m1 *m2*n1 *n2  *n3 *r496 - 56*m1 *m2*n1 *n2  *n3 *r496

             9      8   13   8            8   2   21   8
      + 32*m1 *m2*n1 *n2  *n3 *r496 - 3*m1 *m2 *n1  *n2 *r496

            8   2   21   6   2            8   2   21   4   4
      + 8*m1 *m2 *n1  *n2 *n3 *r496 + 3*m1 *m2 *n1  *n2 *n3 *r496

            8   2   21   2   6            8   2   19   10
      - 8*m1 *m2 *n1  *n2 *n3 *r496 - 5*m1 *m2 *n1  *n2  *r496

             8   2   19   8   2              8   2   19   6   4
      - 28*m1 *m2 *n1  *n2 *n3 *r496 + 101*m1 *m2 *n1  *n2 *n3 *r496

             8   2   19   2   8             8   2   17   12
      - 32*m1 *m2 *n1  *n2 *n3 *r496 + 15*m1 *m2 *n1  *n2  *r496

              8   2   17   10   2              8   2   17   8   4
      - 156*m1 *m2 *n1  *n2  *n3 *r496 + 147*m1 *m2 *n1  *n2 *n3 *r496

              8   2   17   6   6             8   2   17   4   8
      + 312*m1 *m2 *n1  *n2 *n3 *r496 - 48*m1 *m2 *n1  *n2 *n3 *r496

             8   2   15   14              8   2   15   12   2
      + 45*m1 *m2 *n1  *n2  *r496 - 170*m1 *m2 *n1  *n2  *n3 *r496

              8   2   15   10   4              8   2   15   8   6
      - 315*m1 *m2 *n1  *n2  *n3 *r496 + 920*m1 *m2 *n1  *n2 *n3 *r496

              8   2   15   6   8             8   2   13   16
      + 240*m1 *m2 *n1  *n2 *n3 *r496 + 35*m1 *m2 *n1  *n2  *r496

             8   2   13   14   2              8   2   13   12   4
      + 40*m1 *m2 *n1  *n2  *n3 *r496 - 815*m1 *m2 *n1  *n2  *n3 *r496

              8   2   13   10   6              8   2   13   8   8
      + 840*m1 *m2 *n1  *n2  *n3 *r496 + 800*m1 *m2 *n1  *n2 *n3 *r496

            8   2   11   18              8   2   11   16   2
      - 3*m1 *m2 *n1  *n2  *r496 + 168*m1 *m2 *n1  *n2  *n3 *r496

              8   2   11   14   4             8   2   11   12   6
      - 537*m1 *m2 *n1  *n2  *n3 *r496 - 48*m1 *m2 *n1  *n2  *n3 *r496

              8   2   11   10   8             8   2   9   20
      + 960*m1 *m2 *n1  *n2  *n3 *r496 - 15*m1 *m2 *n1 *n2  *r496

             8   2   9   18   2             8   2   9   16   4
      + 92*m1 *m2 *n1 *n2  *n3 *r496 - 39*m1 *m2 *n1 *n2  *n3 *r496

              8   2   9   14   6              8   2   9   12   8
      - 440*m1 *m2 *n1 *n2  *n3 *r496 + 528*m1 *m2 *n1 *n2  *n3 *r496

            8   2   7   22             8   2   7   20   2
      - 5*m1 *m2 *n1 *n2  *r496 + 14*m1 *m2 *n1 *n2  *n3 *r496

             8   2   7   18   4              8   2   7   16   6
      + 47*m1 *m2 *n1 *n2  *n3 *r496 - 168*m1 *m2 *n1 *n2  *n3 *r496

              8   2   7   14   8            7   3   22   7
      + 112*m1 *m2 *n1 *n2  *n3 *r496 + 3*m1 *m2 *n1  *n2 *r496

            7   3   22   5   2            7   3   22   3   4
      - 2*m1 *m2 *n1  *n2 *n3 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

            7   3   20   9             7   3   20   7   2
      - 9*m1 *m2 *n1  *n2 *r496 + 72*m1 *m2 *n1  *n2 *n3 *r496

             7   3   20   5   4             7   3   20   3   6
      - 35*m1 *m2 *n1  *n2 *n3 *r496 - 56*m1 *m2 *n1  *n2 *n3 *r496

             7   3   18   11              7   3   18   9   2
      - 55*m1 *m2 *n1  *n2  *r496 + 104*m1 *m2 *n1  *n2 *n3 *r496

              7   3   18   7   4              7   3   18   5   6
      + 355*m1 *m2 *n1  *n2 *n3 *r496 - 232*m1 *m2 *n1  *n2 *n3 *r496

              7   3   18   3   8             7   3   16   13
      - 112*m1 *m2 *n1  *n2 *n3 *r496 - 45*m1 *m2 *n1  *n2  *r496

              7   3   16   11   2               7   3   16   9   4
      - 340*m1 *m2 *n1  *n2  *n3 *r496 + 1181*m1 *m2 *n1  *n2 *n3 *r496

              7   3   16   7   6              7   3   16   5   8
      + 360*m1 *m2 *n1  *n2 *n3 *r496 - 336*m1 *m2 *n1  *n2 *n3 *r496

             7   3   14   15              7   3   14   13   2
      + 75*m1 *m2 *n1  *n2  *r496 - 840*m1 *m2 *n1  *n2  *n3 *r496

              7   3   14   11   4               7   3   14   9   6
      + 665*m1 *m2 *n1  *n2  *n3 *r496 + 2360*m1 *m2 *n1  *n2 *n3 *r496

              7   3   12   17              7   3   12   15   2
      + 133*m1 *m2 *n1  *n2  *r496 - 512*m1 *m2 *n1  *n2  *n3 *r496

               7   3   12   13   4               7   3   12   11   6
      - 1105*m1 *m2 *n1  *n2  *n3 *r496 + 3160*m1 *m2 *n1  *n2  *n3 *r496

               7   3   12   9   8             7   3   10   19
      + 1120*m1 *m2 *n1  *n2 *n3 *r496 + 51*m1 *m2 *n1  *n2  *r496

              7   3   10   17   2               7   3   10   15   4
      + 112*m1 *m2 *n1  *n2  *n3 *r496 - 1415*m1 *m2 *n1  *n2  *n3 *r496

               7   3   10   13   6               7   3   10   11   8
      + 1224*m1 *m2 *n1  *n2  *n3 *r496 + 1680*m1 *m2 *n1  *n2  *n3 *r496

             7   3   8   21              7   3   8   19   2
      - 15*m1 *m2 *n1 *n2  *r496 + 204*m1 *m2 *n1 *n2  *n3 *r496

              7   3   8   17   4              7   3   8   15   6
      - 425*m1 *m2 *n1 *n2  *n3 *r496 - 392*m1 *m2 *n1 *n2  *n3 *r496

               7   3   8   13   8             7   3   6   23
      + 1008*m1 *m2 *n1 *n2  *n3 *r496 - 10*m1 *m2 *n1 *n2  *r496

             7   3   6   21   2             7   3   6   19   4
      + 50*m1 *m2 *n1 *n2  *n3 *r496 + 16*m1 *m2 *n1 *n2  *n3 *r496

              7   3   6   17   6              7   3   6   15   8
      - 280*m1 *m2 *n1 *n2  *n3 *r496 + 224*m1 *m2 *n1 *n2  *n3 *r496

          6   4   23   6          6   4   23   4   2
      - m1 *m2 *n1  *n2 *r496 - m1 *m2 *n1  *n2 *n3 *r496

             6   4   21   8             6   4   21   6   2
      + 17*m1 *m2 *n1  *n2 *r496 - 31*m1 *m2 *n1  *n2 *n3 *r496

             6   4   21   4   4             6   4   19   10
      - 30*m1 *m2 *n1  *n2 *n3 *r496 + 25*m1 *m2 *n1  *n2  *r496

              6   4   19   8   2              6   4   19   6   4
      + 180*m1 *m2 *n1  *n2 *n3 *r496 - 289*m1 *m2 *n1  *n2 *n3 *r496

              6   4   19   4   6              6   4   17   12
      - 168*m1 *m2 *n1  *n2 *n3 *r496 - 105*m1 *m2 *n1  *n2  *r496

              6   4   17   10   2              6   4   17   8   4
      + 700*m1 *m2 *n1  *n2  *n3 *r496 + 217*m1 *m2 *n1  *n2 *n3 *r496

              6   4   17   6   6              6   4   17   4   8
      - 952*m1 *m2 *n1  *n2 *n3 *r496 - 224*m1 *m2 *n1  *n2 *n3 *r496

              6   4   15   14              6   4   15   12   2
      - 245*m1 *m2 *n1  *n2  *r496 + 280*m1 *m2 *n1  *n2  *n3 *r496

               6   4   15   10   4              6   4   15   8   6
      + 2625*m1 *m2 *n1  *n2  *n3 *r496 - 840*m1 *m2 *n1  *n2 *n3 *r496

              6   4   15   6   8             6   4   13   16
      - 840*m1 *m2 *n1  *n2 *n3 *r496 - 91*m1 *m2 *n1  *n2  *r496

               6   4   13   14   2               6   4   13   12   4
      - 1176*m1 *m2 *n1  *n2  *n3 *r496 + 3535*m1 *m2 *n1  *n2  *n3 *r496

               6   4   13   10   6              6   4   13   8   8
      + 2520*m1 *m2 *n1  *n2  *n3 *r496 - 840*m1 *m2 *n1  *n2 *n3 *r496

              6   4   11   18               6   4   11   16   2
      + 147*m1 *m2 *n1  *n2  *r496 - 1456*m1 *m2 *n1  *n2  *n3 *r496

              6   4   11   14   4               6   4   11   12   6
      + 665*m1 *m2 *n1  *n2  *n3 *r496 + 5320*m1 *m2 *n1  *n2  *n3 *r496

              6   4   11   10   8              6   4   9   20
      + 560*m1 *m2 *n1  *n2  *n3 *r496 + 125*m1 *m2 *n1 *n2  *r496

              6   4   9   18   2               6   4   9   16   4
      - 400*m1 *m2 *n1 *n2  *n3 *r496 - 1449*m1 *m2 *n1 *n2  *n3 *r496

               6   4   9   14   6               6   4   9   12   8
      + 3192*m1 *m2 *n1 *n2  *n3 *r496 + 1680*m1 *m2 *n1 *n2  *n3 *r496

             6   4   7   22              6   4   7   20   2
      + 10*m1 *m2 *n1 *n2  *r496 + 165*m1 *m2 *n1 *n2  *n3 *r496

              6   4   7   18   4              6   4   7   16   6
      - 793*m1 *m2 *n1 *n2  *n3 *r496 + 168*m1 *m2 *n1 *n2  *n3 *r496

               6   4   7   14   8             6   4   5   24
      + 1176*m1 *m2 *n1 *n2  *n3 *r496 - 10*m1 *m2 *n1 *n2  *r496

             6   4   5   22   2             6   4   5   20   4
      + 75*m1 *m2 *n1 *n2  *n3 *r496 - 65*m1 *m2 *n1 *n2  *n3 *r496

              6   4   5   18   6              6   4   5   16   8
      - 280*m1 *m2 *n1 *n2  *n3 *r496 + 280*m1 *m2 *n1 *n2  *n3 *r496

            5   5   22   7            5   5   22   5   2
      - 7*m1 *m2 *n1  *n2 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             5   5   20   9              5   5   20   7   2
      + 30*m1 *m2 *n1  *n2 *r496 - 135*m1 *m2 *n1  *n2 *n3 *r496

             5   5   20   5   4              5   5   18   11
      - 75*m1 *m2 *n1  *n2 *n3 *r496 + 135*m1 *m2 *n1  *n2  *r496

             5   5   18   9   2              5   5   18   7   4
      + 52*m1 *m2 *n1  *n2 *n3 *r496 - 831*m1 *m2 *n1  *n2 *n3 *r496

              5   5   18   5   6             5   5   16   13
      - 280*m1 *m2 *n1  *n2 *n3 *r496 + 35*m1 *m2 *n1  *n2  *r496

               5   5   16   11   2               5   5   16   9   4
      + 1288*m1 *m2 *n1  *n2  *n3 *r496 - 1127*m1 *m2 *n1  *n2 *n3 *r496

               5   5   16   7   6              5   5   16   5   8
      - 1848*m1 *m2 *n1  *n2 *n3 *r496 - 280*m1 *m2 *n1  *n2 *n3 *r496

              5   5   14   15               5   5   14   13   2
      - 315*m1 *m2 *n1  *n2  *r496 + 1848*m1 *m2 *n1  *n2  *n3 *r496

               5   5   14   11   4               5   5   14   9   6
      + 2079*m1 *m2 *n1  *n2  *n3 *r496 - 3192*m1 *m2 *n1  *n2 *n3 *r496

               5   5   14   7   8              5   5   12   17
      - 1176*m1 *m2 *n1  *n2 *n3 *r496 - 357*m1 *m2 *n1  *n2  *r496

             5   5   12   15   2               5   5   12   13   4
      + 56*m1 *m2 *n1  *n2  *n3 *r496 + 5481*m1 *m2 *n1  *n2  *n3 *r496

             5   5   12   11   6               5   5   12   9   8
      - 56*m1 *m2 *n1  *n2  *n3 *r496 - 1680*m1 *m2 *n1  *n2 *n3 *r496

             5   5   10   19               5   5   10   17   2
      - 35*m1 *m2 *n1  *n2  *r496 - 1456*m1 *m2 *n1  *n2  *n3 *r496

               5   5   10   15   4               5   5   10   13   6
      + 3479*m1 *m2 *n1  *n2  *n3 *r496 + 4536*m1 *m2 *n1  *n2  *n3 *r496

              5   5   10   11   8              5   5   8   21
      - 560*m1 *m2 *n1  *n2  *n3 *r496 + 105*m1 *m2 *n1 *n2  *r496

              5   5   8   19   2              5   5   8   17   4
      - 852*m1 *m2 *n1 *n2  *n3 *r496 - 105*m1 *m2 *n1 *n2  *n3 *r496

               5   5   8   15   6              5   5   8   13   8
      + 3864*m1 *m2 *n1 *n2  *n3 *r496 + 840*m1 *m2 *n1 *n2  *n3 *r496

             5   5   6   23             5   5   6   21   2
      + 30*m1 *m2 *n1 *n2  *r496 - 23*m1 *m2 *n1 *n2  *n3 *r496

              5   5   6   19   4              5   5   6   17   6
      - 663*m1 *m2 *n1 *n2  *n3 *r496 + 728*m1 *m2 *n1 *n2  *n3 *r496

              5   5   6   15   8            5   5   4   25
      + 840*m1 *m2 *n1 *n2  *n3 *r496 - 5*m1 *m2 *n1 *n2  *r496

             5   5   4   23   2              5   5   4   21   4
      + 59*m1 *m2 *n1 *n2  *n3 *r496 - 110*m1 *m2 *n1 *n2  *n3 *r496

              5   5   4   19   6              5   5   4   17   8
      - 168*m1 *m2 *n1 *n2  *n3 *r496 + 224*m1 *m2 *n1 *n2  *n3 *r496

             4   6   21   8             4   6   21   6   2
      - 20*m1 *m2 *n1  *n2 *r496 - 10*m1 *m2 *n1  *n2 *n3 *r496

              4   6   19   8   2              4   6   19   6   4
      - 280*m1 *m2 *n1  *n2 *n3 *r496 - 100*m1 *m2 *n1  *n2 *n3 *r496

              4   6   17   12              4   6   17   10   2
      + 195*m1 *m2 *n1  *n2  *r496 - 480*m1 *m2 *n1  *n2  *n3 *r496

               4   6   17   8   4              4   6   17   6   6
      - 1255*m1 *m2 *n1  *n2 *n3 *r496 - 280*m1 *m2 *n1  *n2 *n3 *r496

              4   6   15   14              4   6   15   12   2
      + 301*m1 *m2 *n1  *n2  *r496 + 784*m1 *m2 *n1  *n2  *n3 *r496

               4   6   15   10   4               4   6   15   8   6
      - 2905*m1 *m2 *n1  *n2  *n3 *r496 - 2072*m1 *m2 *n1  *n2 *n3 *r496

              4   6   15   6   8             4   6   13   16
      - 224*m1 *m2 *n1  *n2 *n3 *r496 - 21*m1 *m2 *n1  *n2  *r496

               4   6   13   14   2              4   6   13   12   4
      + 2464*m1 *m2 *n1  *n2  *n3 *r496 - 959*m1 *m2 *n1  *n2  *n3 *r496

               4   6   13   10   6               4   6   13   8   8
      - 4536*m1 *m2 *n1  *n2  *n3 *r496 - 1008*m1 *m2 *n1  *n2 *n3 *r496

              4   6   11   18               4   6   11   16   2
      - 315*m1 *m2 *n1  *n2  *r496 + 1680*m1 *m2 *n1  *n2  *n3 *r496

               4   6   11   14   4               4   6   11   12   6
      + 3535*m1 *m2 *n1  *n2  *n3 *r496 - 3080*m1 *m2 *n1  *n2  *n3 *r496

               4   6   11   10   8              4   6   9   20
      - 1680*m1 *m2 *n1  *n2  *n3 *r496 - 175*m1 *m2 *n1 *n2  *r496

              4   6   9   18   2               4   6   9   16   4
      - 280*m1 *m2 *n1 *n2  *n3 *r496 + 3955*m1 *m2 *n1 *n2  *n3 *r496

               4   6   9   14   6               4   6   9   12   8
      + 1400*m1 *m2 *n1 *n2  *n3 *r496 - 1120*m1 *m2 *n1 *n2  *n3 *r496

             4   6   7   22              4   6   7   20   2
      + 15*m1 *m2 *n1 *n2  *r496 - 640*m1 *m2 *n1 *n2  *n3 *r496

               4   6   7   18   4               4   6   7   16   6
      + 1085*m1 *m2 *n1 *n2  *n3 *r496 + 2520*m1 *m2 *n1 *n2  *n3 *r496

             4   6   5   24              4   6   5   22   2
      + 21*m1 *m2 *n1 *n2  *r496 - 126*m1 *m2 *n1 *n2  *n3 *r496

              4   6   5   20   4              4   6   5   18   6
      - 205*m1 *m2 *n1 *n2  *n3 *r496 + 728*m1 *m2 *n1 *n2  *n3 *r496

              4   6   5   16   8          4   6   3   26
      + 336*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1 *n2  *r496

             4   6   3   24   2             4   6   3   22   4
      + 24*m1 *m2 *n1 *n2  *n3 *r496 - 79*m1 *m2 *n1 *n2  *n3 *r496

             4   6   3   20   6              4   6   3   18   8
      - 56*m1 *m2 *n1 *n2  *n3 *r496 + 112*m1 *m2 *n1 *n2  *n3 *r496

             3   7   20   9             3   7   20   7   2
      - 30*m1 *m2 *n1  *n2 *r496 - 10*m1 *m2 *n1  *n2 *n3 *r496

             3   7   18   11              3   7   18   9   2
      - 65*m1 *m2 *n1  *n2  *r496 - 320*m1 *m2 *n1  *n2 *n3 *r496

             3   7   18   7   4             3   7   16   13
      - 75*m1 *m2 *n1  *n2 *n3 *r496 + 77*m1 *m2 *n1  *n2  *r496

              3   7   16   11   2               3   7   16   9   4
      - 912*m1 *m2 *n1  *n2  *n3 *r496 - 1097*m1 *m2 *n1  *n2 *n3 *r496

              3   7   16   7   6              3   7   14   15
      - 168*m1 *m2 *n1  *n2 *n3 *r496 + 315*m1 *m2 *n1  *n2  *r496

              3   7   14   13   2               3   7   14   11   4
      - 448*m1 *m2 *n1  *n2  *n3 *r496 - 3199*m1 *m2 *n1  *n2  *n3 *r496

               3   7   14   9   6              3   7   14   7   8
      - 1400*m1 *m2 *n1  *n2 *n3 *r496 - 112*m1 *m2 *n1  *n2 *n3 *r496

              3   7   12   17               3   7   12   15   2
      + 245*m1 *m2 *n1  *n2  *r496 + 1184*m1 *m2 *n1  *n2  *n3 *r496

               3   7   12   13   4               3   7   12   11   6
      - 3153*m1 *m2 *n1  *n2  *n3 *r496 - 3528*m1 *m2 *n1  *n2  *n3 *r496

              3   7   12   9   8             3   7   10   19
      - 528*m1 *m2 *n1  *n2 *n3 *r496 - 35*m1 *m2 *n1  *n2  *r496

               3   7   10   17   2             3   7   10   15   4
      + 1620*m1 *m2 *n1  *n2  *n3 *r496 + 35*m1 *m2 *n1  *n2  *n3 *r496

               3   7   10   13   6              3   7   10   11   8
      - 3480*m1 *m2 *n1  *n2  *n3 *r496 - 960*m1 *m2 *n1  *n2  *n3 *r496

              3   7   8   21              3   7   8   19   2
      - 105*m1 *m2 *n1 *n2  *r496 + 520*m1 *m2 *n1 *n2  *n3 *r496

               3   7   8   17   4              3   7   8   15   6
      + 1885*m1 *m2 *n1 *n2  *n3 *r496 - 760*m1 *m2 *n1 *n2  *n3 *r496

              3   7   8   13   8             3   7   6   23
      - 800*m1 *m2 *n1 *n2  *n3 *r496 - 23*m1 *m2 *n1 *n2  *r496

              3   7   6   21   2              3   7   6   19   4
      - 152*m1 *m2 *n1 *n2  *n3 *r496 + 963*m1 *m2 *n1 *n2  *n3 *r496

              3   7   6   17   6              3   7   6   15   8
      + 792*m1 *m2 *n1 *n2  *n3 *r496 - 240*m1 *m2 *n1 *n2  *n3 *r496

            3   7   4   25             3   7   4   23   2
      + 5*m1 *m2 *n1 *n2  *r496 - 78*m1 *m2 *n1 *n2  *n3 *r496

             3   7   4   21   4              3   7   4   19   6
      + 61*m1 *m2 *n1 *n2  *n3 *r496 + 360*m1 *m2 *n1 *n2  *n3 *r496

             3   7   4   17   8            3   7   2   25   2
      + 48*m1 *m2 *n1 *n2  *n3 *r496 + 4*m1 *m2 *n1 *n2  *n3 *r496

             3   7   2   23   4            3   7   2   21   6
      - 28*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

             3   7   2   19   8             2   8   19   10
      + 32*m1 *m2 *n1 *n2  *n3 *r496 - 25*m1 *m2 *n1  *n2  *r496

            2   8   19   8   2             2   8   17   12
      - 5*m1 *m2 *n1  *n2 *n3 *r496 - 87*m1 *m2 *n1  *n2  *r496

              2   8   17   10   2             2   8   17   8   4
      - 207*m1 *m2 *n1  *n2  *n3 *r496 - 30*m1 *m2 *n1  *n2 *n3 *r496

             2   8   15   14              2   8   15   12   2
      - 69*m1 *m2 *n1  *n2  *r496 - 748*m1 *m2 *n1  *n2  *n3 *r496

              2   8   15   10   4             2   8   15   8   6
      - 555*m1 *m2 *n1  *n2  *n3 *r496 - 56*m1 *m2 *n1  *n2 *n3 *r496

             2   8   13   16              2   8   13   14   2
      + 85*m1 *m2 *n1  *n2  *r496 - 916*m1 *m2 *n1  *n2  *n3 *r496

               2   8   13   12   4              2   8   13   10   6
      - 1885*m1 *m2 *n1  *n2  *n3 *r496 - 552*m1 *m2 *n1  *n2  *n3 *r496

             2   8   13   8   8              2   8   11   18
      - 32*m1 *m2 *n1  *n2 *n3 *r496 + 165*m1 *m2 *n1  *n2  *r496

              2   8   11   16   2               2   8   11   14   4
      - 165*m1 *m2 *n1  *n2  *n3 *r496 - 2514*m1 *m2 *n1  *n2  *n3 *r496

               2   8   11   12   6              2   8   11   10   8
      - 1560*m1 *m2 *n1  *n2  *n3 *r496 - 156*m1 *m2 *n1  *n2  *n3 *r496

             2   8   9   20              2   8   9   18   2
      + 75*m1 *m2 *n1 *n2  *r496 + 505*m1 *m2 *n1 *n2  *n3 *r496

               2   8   9   16   4               2   8   9   14   6
      - 1260*m1 *m2 *n1 *n2  *n3 *r496 - 1840*m1 *m2 *n1 *n2  *n3 *r496

              2   8   9   12   8            2   8   7   22
      - 300*m1 *m2 *n1 *n2  *n3 *r496 - 7*m1 *m2 *n1 *n2  *r496

              2   8   7   20   2              2   8   7   18   4
      + 358*m1 *m2 *n1 *n2  *n3 *r496 + 145*m1 *m2 *n1 *n2  *n3 *r496

              2   8   7   16   6              2   8   7   14   8
      - 840*m1 *m2 *n1 *n2  *n3 *r496 - 280*m1 *m2 *n1 *n2  *n3 *r496

            2   8   5   24             2   8   5   22   2
      - 9*m1 *m2 *n1 *n2  *r496 + 42*m1 *m2 *n1 *n2  *n3 *r496

              2   8   5   20   4             2   8   5   18   6
      + 315*m1 *m2 *n1 *n2  *n3 *r496 + 24*m1 *m2 *n1 *n2  *n3 *r496

              2   8   5   16   8             2   8   3   24   2
      - 120*m1 *m2 *n1 *n2  *n3 *r496 - 16*m1 *m2 *n1 *n2  *n3 *r496

             2   8   3   22   4             2   8   3   20   6
      + 60*m1 *m2 *n1 *n2  *n3 *r496 + 88*m1 *m2 *n1 *n2  *n3 *r496

             2   8   3   18   8            2   8      24   4
      - 12*m1 *m2 *n1 *n2  *n3 *r496 - 4*m1 *m2 *n1*n2  *n3 *r496

            2   8      20   8                9   18   11
      + 4*m1 *m2 *n1*n2  *n3 *r496 - 11*m1*m2 *n1  *n2  *r496

             9   18   9   2                9   16   13
      - m1*m2 *n1  *n2 *n3 *r496 - 48*m1*m2 *n1  *n2  *r496

                9   16   11   2               9   16   9   4
      - 71*m1*m2 *n1  *n2  *n3 *r496 - 5*m1*m2 *n1  *n2 *n3 *r496

                9   14   15                 9   14   13   2
      - 75*m1*m2 *n1  *n2  *r496 - 300*m1*m2 *n1  *n2  *n3 *r496

                 9   14   11   4               9   14   9   6
      - 149*m1*m2 *n1  *n2  *n3 *r496 - 8*m1*m2 *n1  *n2 *n3 *r496

                9   12   17                 9   12   15   2
      - 40*m1*m2 *n1  *n2  *r496 - 490*m1*m2 *n1  *n2  *n3 *r496

                 9   12   13   4                 9   12   11   6
      - 578*m1*m2 *n1  *n2  *n3 *r496 - 112*m1*m2 *n1  *n2  *n3 *r496

               9   12   9   8                9   10   19
      - 4*m1*m2 *n1  *n2 *n3 *r496 + 15*m1*m2 *n1  *n2  *r496

                 9   10   17   2                 9   10   15   4
      - 345*m1*m2 *n1  *n2  *n3 *r496 - 910*m1*m2 *n1  *n2  *n3 *r496

                 9   10   13   6                9   10   11   8
      - 360*m1*m2 *n1  *n2  *n3 *r496 - 20*m1*m2 *n1  *n2  *n3 *r496

                9   8   21                9   8   19   2
      + 24*m1*m2 *n1 *n2  *r496 - 51*m1*m2 *n1 *n2  *n3 *r496

                 9   8   17   4                 9   8   15   6
      - 665*m1*m2 *n1 *n2  *n3 *r496 - 480*m1*m2 *n1 *n2  *n3 *r496

                9   8   13   8               9   6   23
      - 40*m1*m2 *n1 *n2  *n3 *r496 + 7*m1*m2 *n1 *n2  *r496

                9   6   21   2                 9   6   19   4
      + 54*m1*m2 *n1 *n2  *n3 *r496 - 185*m1*m2 *n1 *n2  *n3 *r496

                 9   6   17   6                9   6   15   8
      - 280*m1*m2 *n1 *n2  *n3 *r496 - 40*m1*m2 *n1 *n2  *n3 *r496

                9   4   23   2                9   4   21   4
      + 20*m1*m2 *n1 *n2  *n3 *r496 + 16*m1*m2 *n1 *n2  *n3 *r496

                9   4   19   6                9   4   17   8
      - 48*m1*m2 *n1 *n2  *n3 *r496 - 20*m1*m2 *n1 *n2  *n3 *r496

                9   2   23   4               9   2   21   6
      + 12*m1*m2 *n1 *n2  *n3 *r496 + 8*m1*m2 *n1 *n2  *n3 *r496

               9   2   19   8            10   17   12
      - 4*m1*m2 *n1 *n2  *n3 *r496 - 2*m2  *n1  *n2  *r496

             10   15   14             10   15   12   2
      - 10*m2  *n1  *n2  *r496 - 10*m2  *n1  *n2  *n3 *r496

             10   13   16             10   13   14   2
      - 20*m2  *n1  *n2  *r496 - 48*m2  *n1  *n2  *n3 *r496

             10   13   12   4             10   11   18
      - 16*m2  *n1  *n2  *n3 *r496 - 20*m2  *n1  *n2  *r496

             10   11   16   2             10   11   14   4
      - 92*m2  *n1  *n2  *n3 *r496 - 72*m2  *n1  *n2  *n3 *r496

            10   11   12   6             10   9   20
      - 8*m2  *n1  *n2  *n3 *r496 - 10*m2  *n1 *n2  *r496

             10   9   18   2              10   9   16   4
      - 88*m2  *n1 *n2  *n3 *r496 - 128*m2  *n1 *n2  *n3 *r496

             10   9   14   6            10   7   22
      - 32*m2  *n1 *n2  *n3 *r496 - 2*m2  *n1 *n2  *r496

             10   7   20   2              10   7   18   4
      - 42*m2  *n1 *n2  *n3 *r496 - 112*m2  *n1 *n2  *n3 *r496

             10   7   16   6            10   5   22   2
      - 48*m2  *n1 *n2  *n3 *r496 - 8*m2  *n1 *n2  *n3 *r496

             10   5   20   4             10   5   18   6
      - 48*m2  *n1 *n2  *n3 *r496 - 32*m2  *n1 *n2  *n3 *r496

            10   3   22   4            10   3   20   6
      - 8*m2  *n1 *n2  *n3 *r496 - 8*m2  *n1 *n2  *n3 *r496)/(

        3   10   17   7   2         3   10   17   5   4
   4*a33 *m1  *n1  *n2 *n3  - 16*a33 *m1  *n1  *n2 *n3

            3   10   17   3   6         3   10   15   9   2
    + 16*a33 *m1  *n1  *n2 *n3  + 12*a33 *m1  *n1  *n2 *n3

            3   10   15   7   4         3   10   15   5   6
    - 48*a33 *m1  *n1  *n2 *n3  + 48*a33 *m1  *n1  *n2 *n3

           3   10   13   11   2         3   10   13   9   4
    + 8*a33 *m1  *n1  *n2  *n3  - 32*a33 *m1  *n1  *n2 *n3

            3   10   13   7   6        3   10   11   13   2
    + 32*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2  *n3

            3   10   11   11   4         3   10   11   9   6
    + 32*a33 *m1  *n1  *n2  *n3  - 32*a33 *m1  *n1  *n2 *n3

            3   10   9   15   2         3   10   9   13   4
    - 12*a33 *m1  *n1 *n2  *n3  + 48*a33 *m1  *n1 *n2  *n3

            3   10   9   11   6        3   10   7   17   2
    - 48*a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2  *n3

            3   10   7   15   4         3   10   7   13   6
    + 16*a33 *m1  *n1 *n2  *n3  - 16*a33 *m1  *n1 *n2  *n3

           3   9      18   8         3   9      18   6   2
    + 4*a33 *m1 *m2*n1  *n2  - 36*a33 *m1 *m2*n1  *n2 *n3

            3   9      18   4   4         3   9      18   2   6
    + 80*a33 *m1 *m2*n1  *n2 *n3  - 48*a33 *m1 *m2*n1  *n2 *n3

            3   9      16   10          3   9      16   8   2
    + 16*a33 *m1 *m2*n1  *n2   - 104*a33 *m1 *m2*n1  *n2 *n3

             3   9      16   6   4         3   9      16   4   6
    + 160*a33 *m1 *m2*n1  *n2 *n3  - 32*a33 *m1 *m2*n1  *n2 *n3

            3   9      14   12         3   9      14   10   2
    + 20*a33 *m1 *m2*n1  *n2   - 60*a33 *m1 *m2*n1  *n2  *n3

            3   9      14   8   4          3   9      14   6   6
    - 80*a33 *m1 *m2*n1  *n2 *n3  + 240*a33 *m1 *m2*n1  *n2 *n3

            3   9      12   12   2          3   9      12   10   4
    + 80*a33 *m1 *m2*n1  *n2  *n3  - 320*a33 *m1 *m2*n1  *n2  *n3

             3   9      12   8   6         3   9      10   16
    + 320*a33 *m1 *m2*n1  *n2 *n3  - 20*a33 *m1 *m2*n1  *n2

             3   9      10   14   2         3   9      10   12   4
    + 100*a33 *m1 *m2*n1  *n2  *n3  - 80*a33 *m1 *m2*n1  *n2  *n3

            3   9      10   10   6         3   9      8   18
    - 80*a33 *m1 *m2*n1  *n2  *n3  - 16*a33 *m1 *m2*n1 *n2

            3   9      8   16   2          3   9      8   14   4
    + 24*a33 *m1 *m2*n1 *n2  *n3  + 160*a33 *m1 *m2*n1 *n2  *n3

             3   9      8   12   6        3   9      6   20
    - 288*a33 *m1 *m2*n1 *n2  *n3  - 4*a33 *m1 *m2*n1 *n2

           3   9      6   18   2         3   9      6   16   4
    - 4*a33 *m1 *m2*n1 *n2  *n3  + 80*a33 *m1 *m2*n1 *n2  *n3

             3   9      6   14   6         3   8   2   19   7
    - 112*a33 *m1 *m2*n1 *n2  *n3  - 20*a33 *m1 *m2 *n1  *n2

             3   8   2   19   5   2          3   8   2   19   3   4
    + 104*a33 *m1 *m2 *n1  *n2 *n3  - 144*a33 *m1 *m2 *n1  *n2 *n3

            3   8   2   19      6         3   8   2   17   9
    + 48*a33 *m1 *m2 *n1  *n2*n3  - 64*a33 *m1 *m2 *n1  *n2

             3   8   2   17   7   2          3   8   2   17   3   6
    + 196*a33 *m1 *m2 *n1  *n2 *n3  - 192*a33 *m1 *m2 *n1  *n2 *n3

            3   8   2   15   11          3   8   2   15   9   2
    - 36*a33 *m1 *m2 *n1  *n2   - 180*a33 *m1 *m2 *n1  *n2 *n3

             3   8   2   15   7   4          3   8   2   15   5   6
    + 864*a33 *m1 *m2 *n1  *n2 *n3  - 576*a33 *m1 *m2 *n1  *n2 *n3

            3   8   2   13   13          3   8   2   13   11   2
    + 80*a33 *m1 *m2 *n1  *n2   - 560*a33 *m1 *m2 *n1  *n2  *n3

             3   8   2   13   9   4          3   8   2   13   7   6
    + 720*a33 *m1 *m2 *n1  *n2 *n3  + 240*a33 *m1 *m2 *n1  *n2 *n3

             3   8   2   11   15          3   8   2   11   13   2
    + 100*a33 *m1 *m2 *n1  *n2   - 160*a33 *m1 *m2 *n1  *n2  *n3

             3   8   2   11   11   4           3   8   2   11   9   6
    - 720*a33 *m1 *m2 *n1  *n2  *n3  + 1200*a33 *m1 *m2 *n1  *n2 *n3

             3   8   2   9   15   2          3   8   2   9   13   4
    + 324*a33 *m1 *m2 *n1 *n2  *n3  - 864*a33 *m1 *m2 *n1 *n2  *n3

             3   8   2   9   11   6         3   8   2   7   19
    + 288*a33 *m1 *m2 *n1 *n2  *n3  - 44*a33 *m1 *m2 *n1 *n2

             3   8   2   7   17   2          3   8   2   7   13   6
    + 236*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2  *n3

            3   8   2   5   21         3   8   2   5   19   2
    - 16*a33 *m1 *m2 *n1 *n2   + 40*a33 *m1 *m2 *n1 *n2  *n3

             3   8   2   5   17   4          3   8   2   5   15   6
    + 144*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2  *n3

            3   7   3   20   6          3   7   3   20   4   2
    + 40*a33 *m1 *m2 *n1  *n2  - 136*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   20   2   4         3   7   3   20   6
    + 112*a33 *m1 *m2 *n1  *n2 *n3  - 16*a33 *m1 *m2 *n1  *n3

            3   7   3   18   8         3   7   3   18   6   2
    + 80*a33 *m1 *m2 *n1  *n2  + 16*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   18   4   4          3   7   3   18   2   6
    - 480*a33 *m1 *m2 *n1  *n2 *n3  + 288*a33 *m1 *m2 *n1  *n2 *n3

            3   7   3   16   10          3   7   3   16   8   2
    - 96*a33 *m1 *m2 *n1  *n2   + 960*a33 *m1 *m2 *n1  *n2 *n3

              3   7   3   16   6   4         3   7   3   16   4   6
    - 1312*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   14   12          3   7   3   14   10   2
    - 304*a33 *m1 *m2 *n1  *n2   + 880*a33 *m1 *m2 *n1  *n2  *n3

             3   7   3   14   8   4           3   7   3   14   6   6
    + 800*a33 *m1 *m2 *n1  *n2 *n3  - 1760*a33 *m1 *m2 *n1  *n2 *n3

            3   7   3   12   14          3   7   3   12   12   2
    - 80*a33 *m1 *m2 *n1  *n2   - 880*a33 *m1 *m2 *n1  *n2  *n3

              3   7   3   12   10   4          3   7   3   12   8   6
    + 2880*a33 *m1 *m2 *n1  *n2  *n3  - 960*a33 *m1 *m2 *n1  *n2 *n3

             3   7   3   10   16           3   7   3   10   14   2
    + 240*a33 *m1 *m2 *n1  *n2   - 1296*a33 *m1 *m2 *n1  *n2  *n3

             3   7   3   10   12   4           3   7   3   10   10   6
    + 352*a33 *m1 *m2 *n1  *n2  *n3  + 2144*a33 *m1 *m2 *n1  *n2  *n3

             3   7   3   8   18         3   7   3   8   16   2
    + 160*a33 *m1 *m2 *n1 *n2   - 64*a33 *m1 *m2 *n1 *n2  *n3

              3   7   3   8   14   4           3   7   3   8   12   6
    - 1760*a33 *m1 *m2 *n1 *n2  *n3  + 1568*a33 *m1 *m2 *n1 *n2  *n3

            3   7   3   6   20          3   7   3   6   18   2
    - 16*a33 *m1 *m2 *n1 *n2   + 400*a33 *m1 *m2 *n1 *n2  *n3

             3   7   3   6   16   4          3   7   3   6   14   6
    - 672*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2  *n3

            3   7   3   4   22          3   7   3   4   20   2
    - 24*a33 *m1 *m2 *n1 *n2   + 120*a33 *m1 *m2 *n1 *n2  *n3

            3   7   3   4   18   4          3   7   3   4   16   6
    + 80*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2  *n3

            3   6   4   21   5         3   6   4   21   3   2
    - 40*a33 *m1 *m2 *n1  *n2  + 84*a33 *m1 *m2 *n1  *n2 *n3

            3   6   4   21      4          3   6   4   19   5   2
    - 32*a33 *m1 *m2 *n1  *n2*n3  - 364*a33 *m1 *m2 *n1  *n2 *n3

             3   6   4   19   3   4          3   6   4   19      6
    + 560*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2*n3

             3   6   4   17   9           3   6   4   17   7   2
    + 320*a33 *m1 *m2 *n1  *n2  - 1120*a33 *m1 *m2 *n1  *n2 *n3

            3   6   4   17   5   4          3   6   4   17   3   6
    + 32*a33 *m1 *m2 *n1  *n2 *n3  + 672*a33 *m1 *m2 *n1  *n2 *n3

             3   6   4   15   11          3   6   4   15   9   2
    + 336*a33 *m1 *m2 *n1  *n2   + 560*a33 *m1 *m2 *n1  *n2 *n3

              3   6   4   15   7   4           3   6   4   15   5   6
    - 3360*a33 *m1 *m2 *n1  *n2 *n3  + 1120*a33 *m1 *m2 *n1  *n2 *n3

             3   6   4   13   13           3   6   4   13   11   2
    - 336*a33 *m1 *m2 *n1  *n2   + 2800*a33 *m1 *m2 *n1  *n2  *n3

              3   6   4   13   9   4           3   6   4   13   7   6
    - 2240*a33 *m1 *m2 *n1  *n2 *n3  - 2240*a33 *m1 *m2 *n1  *n2 *n3

             3   6   4   11   15          3   6   4   11   13   2
    - 560*a33 *m1 *m2 *n1  *n2   + 784*a33 *m1 *m2 *n1  *n2  *n3

              3   6   4   11   11   4           3   6   4   11   9   6
    + 3808*a33 *m1 *m2 *n1  *n2  *n3  - 3360*a33 *m1 *m2 *n1  *n2 *n3

              3   6   4   9   15   2           3   6   4   9   13   4
    - 1904*a33 *m1 *m2 *n1 *n2  *n3  + 3360*a33 *m1 *m2 *n1 *n2  *n3

              3   6   4   9   11   6          3   6   4   7   19
    + 1568*a33 *m1 *m2 *n1 *n2  *n3  + 240*a33 *m1 *m2 *n1 *n2

              3   6   4   7   17   2          3   6   4   7   15   4
    - 1120*a33 *m1 *m2 *n1 *n2  *n3  - 928*a33 *m1 *m2 *n1 *n2  *n3

              3   6   4   7   13   6         3   6   4   5   21
    + 2912*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2

             3   6   4   5   19   2           3   6   4   5   17   4
    + 140*a33 *m1 *m2 *n1 *n2  *n3  - 1120*a33 *m1 *m2 *n1 *n2  *n3

            3   6   4   3   23          3   6   4   3   21   2
    - 16*a33 *m1 *m2 *n1 *n2   + 140*a33 *m1 *m2 *n1 *n2  *n3

            3   6   4   3   19   4          3   6   4   3   17   6
    - 80*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2  *n3

            3   5   5   22   4         3   5   5   22   2   2
    + 20*a33 *m1 *m2 *n1  *n2  - 20*a33 *m1 *m2 *n1  *n2 *n3

            3   5   5   20   6          3   5   5   20   4   2
    - 80*a33 *m1 *m2 *n1  *n2  + 344*a33 *m1 *m2 *n1  *n2 *n3

             3   5   5   20   2   4          3   5   5   18   8
    - 192*a33 *m1 *m2 *n1  *n2 *n3  - 300*a33 *m1 *m2 *n1  *n2

             3   5   5   18   6   2           3   5   5   18   4   4
    + 132*a33 *m1 *m2 *n1  *n2 *n3  + 1008*a33 *m1 *m2 *n1  *n2 *n3

             3   5   5   18   2   6         3   5   5   16   10
    - 336*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2

              3   5   5   16   8   2           3   5   5   16   6   4
    - 2192*a33 *m1 *m2 *n1  *n2 *n3  + 2208*a33 *m1 *m2 *n1  *n2 *n3

             3   5   5   16   4   6          3   5   5   14   12
    + 672*a33 *m1 *m2 *n1  *n2 *n3  + 784*a33 *m1 *m2 *n1  *n2

              3   5   5   14   10   2           3   5   5   14   8   4
    - 2128*a33 *m1 *m2 *n1  *n2  *n3  - 2688*a33 *m1 *m2 *n1  *n2 *n3

              3   5   5   14   6   6          3   5   5   12   14
    + 2688*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2

              3   5   5   12   12   2           3   5   5   12   10   4
    + 2352*a33 *m1 *m2 *n1  *n2  *n3  - 6048*a33 *m1 *m2 *n1  *n2  *n3

             3   5   5   12   8   6          3   5   5   10   16
    - 672*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2

              3   5   5   10   14   2          3   5   5   10   12   4
    + 3248*a33 *m1 *m2 *n1  *n2  *n3  + 672*a33 *m1 *m2 *n1  *n2  *n3

              3   5   5   10   10   6          3   5   5   8   18
    - 4704*a33 *m1 *m2 *n1  *n2  *n3  - 400*a33 *m1 *m2 *n1 *n2

             3   5   5   8   16   2           3   5   5   8   14   4
    - 272*a33 *m1 *m2 *n1 *n2  *n3  + 4704*a33 *m1 *m2 *n1 *n2  *n3

             3   5   5   8   12   6         3   5   5   6   20
    - 672*a33 *m1 *m2 *n1 *n2  *n3  + 60*a33 *m1 *m2 *n1 *n2

              3   5   5   6   18   2           3   5   5   6   16   4
    - 1308*a33 *m1 *m2 *n1 *n2  *n3  + 1152*a33 *m1 *m2 *n1 *n2  *n3

              3   5   5   6   14   6         3   5   5   4   22
    + 2688*a33 *m1 *m2 *n1 *n2  *n3  + 64*a33 *m1 *m2 *n1 *n2

             3   5   5   4   20   2          3   5   5   4   18   4
    - 232*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2  *n3

             3   5   5   4   16   6        3   5   5   2   24
    + 672*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1 *n2

            3   5   5   2   22   2          3   5   5   2   20   4
    + 76*a33 *m1 *m2 *n1 *n2  *n3  - 144*a33 *m1 *m2 *n1 *n2  *n3

             3   5   5   2   18   6        3   4   6   23   3
    - 336*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1  *n2

            3   4   6   21   5          3   4   6   21   3   2
    + 64*a33 *m1 *m2 *n1  *n2  - 100*a33 *m1 *m2 *n1  *n2 *n3

            3   4   6   19   7          3   4   6   19   5   2
    + 60*a33 *m1 *m2 *n1  *n2  + 460*a33 *m1 *m2 *n1  *n2 *n3

             3   4   6   19   3   4          3   4   6   17   9
    - 480*a33 *m1 *m2 *n1  *n2 *n3  - 400*a33 *m1 *m2 *n1  *n2

              3   4   6   17   7   2          3   4   6   17   5   4
    + 1360*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

             3   4   6   17   3   6          3   4   6   15   11
    - 560*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2

             3   4   6   15   9   2           3   4   6   15   7   4
    - 880*a33 *m1 *m2 *n1  *n2 *n3  + 3840*a33 *m1 *m2 *n1  *n2 *n3

             3   4   6   13   13           3   4   6   13   11   2
    + 336*a33 *m1 *m2 *n1  *n2   - 3696*a33 *m1 *m2 *n1  *n2  *n3

              3   4   6   13   9   4           3   4   6   13   7   6
    + 1120*a33 *m1 *m2 *n1  *n2 *n3  + 2912*a33 *m1 *m2 *n1  *n2 *n3

             3   4   6   11   15          3   4   6   11   13   2
    + 784*a33 *m1 *m2 *n1  *n2   - 784*a33 *m1 *m2 *n1  *n2  *n3

              3   4   6   11   11   4           3   4   6   11   9   6
    - 5600*a33 *m1 *m2 *n1  *n2  *n3  + 1568*a33 *m1 *m2 *n1  *n2 *n3

            3   4   6   9   17           3   4   6   9   15   2
    + 80*a33 *m1 *m2 *n1 *n2   + 2800*a33 *m1 *m2 *n1 *n2  *n3

              3   4   6   9   13   4           3   4   6   9   11   6
    - 3360*a33 *m1 *m2 *n1 *n2  *n3  - 3360*a33 *m1 *m2 *n1 *n2  *n3

             3   4   6   7   19           3   4   6   7   17   2
    - 300*a33 *m1 *m2 *n1 *n2   + 1440*a33 *m1 *m2 *n1 *n2  *n3

              3   4   6   7   15   4           3   4   6   7   13   6
    + 2240*a33 *m1 *m2 *n1 *n2  *n3  - 2240*a33 *m1 *m2 *n1 *n2  *n3

            3   4   6   5   21          3   4   6   5   19   2
    - 80*a33 *m1 *m2 *n1 *n2   - 380*a33 *m1 *m2 *n1 *n2  *n3

              3   4   6   5   17   4           3   4   6   5   15   6
    + 1760*a33 *m1 *m2 *n1 *n2  *n3  + 1120*a33 *m1 *m2 *n1 *n2  *n3

            3   4   6   3   23          3   4   6   3   21   2
    + 20*a33 *m1 *m2 *n1 *n2   - 236*a33 *m1 *m2 *n1 *n2  *n3

             3   4   6   3   17   6         3   4   6      23   2
    + 672*a33 *m1 *m2 *n1 *n2  *n3  + 16*a33 *m1 *m2 *n1*n2  *n3

            3   4   6      21   4          3   4   6      19   6
    - 80*a33 *m1 *m2 *n1*n2  *n3  - 112*a33 *m1 *m2 *n1*n2  *n3

            3   3   7   22   4         3   3   7   20   6
    - 16*a33 *m1 *m2 *n1  *n2  + 56*a33 *m1 *m2 *n1  *n2

             3   3   7   20   4   2          3   3   7   18   8
    - 200*a33 *m1 *m2 *n1  *n2 *n3  + 240*a33 *m1 *m2 *n1  *n2

            3   3   7   18   6   2          3   3   7   18   4   4
    + 80*a33 *m1 *m2 *n1  *n2 *n3  - 640*a33 *m1 *m2 *n1  *n2 *n3

              3   3   7   16   8   2          3   3   7   16   6   4
    + 1600*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

             3   3   7   16   4   6          3   3   7   14   12
    - 560*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2

              3   3   7   14   10   2           3   3   7   14   8   4
    + 1264*a33 *m1 *m2 *n1  *n2  *n3  + 2656*a33 *m1 *m2 *n1  *n2 *n3

             3   3   7   14   6   6          3   3   7   12   14
    - 672*a33 *m1 *m2 *n1  *n2 *n3  - 336*a33 *m1 *m2 *n1  *n2

              3   3   7   12   12   2           3   3   7   12   10   4
    - 1904*a33 *m1 *m2 *n1  *n2  *n3  + 3360*a33 *m1 *m2 *n1  *n2  *n3

              3   3   7   12   8   6          3   3   7   10   16
    + 1568*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2

              3   3   7   10   14   2           3   3   7   10   12   4
    - 2320*a33 *m1 *m2 *n1  *n2  *n3  - 1696*a33 *m1 *m2 *n1  *n2  *n3

              3   3   7   10   10   6          3   3   7   8   18
    + 2144*a33 *m1 *m2 *n1  *n2  *n3  + 320*a33 *m1 *m2 *n1 *n2

             3   3   7   8   16   2           3   3   7   8   14   4
    + 320*a33 *m1 *m2 *n1 *n2  *n3  - 3520*a33 *m1 *m2 *n1 *n2  *n3

             3   3   7   8   12   6           3   3   7   6   18   2
    - 960*a33 *m1 *m2 *n1 *n2  *n3  + 1040*a33 *m1 *m2 *n1 *n2  *n3

             3   3   7   6   16   4           3   3   7   6   14   6
    - 480*a33 *m1 *m2 *n1 *n2  *n3  - 1760*a33 *m1 *m2 *n1 *n2  *n3

            3   3   7   4   22          3   3   7   4   20   2
    - 40*a33 *m1 *m2 *n1 *n2   + 184*a33 *m1 *m2 *n1 *n2  *n3

             3   3   7   4   18   4         3   3   7   4   16   6
    + 736*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

            3   3   7   2   22   2          3   3   7   2   20   4
    - 64*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2  *n3

             3   3   7   2   18   6         3   3   7   22   4
    + 288*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n2  *n3

            3   3   7   20   6         3   2   8   21   5
    - 16*a33 *m1 *m2 *n2  *n3  - 24*a33 *m1 *m2 *n1  *n2

            3   2   8   19   7          3   2   8   19   5   2
    - 16*a33 *m1 *m2 *n1  *n2  - 200*a33 *m1 *m2 *n1  *n2 *n3

             3   2   8   17   9          3   2   8   17   7   2
    + 160*a33 *m1 *m2 *n1  *n2  - 340*a33 *m1 *m2 *n1  *n2 *n3

             3   2   8   17   5   4          3   2   8   15   11
    - 480*a33 *m1 *m2 *n1  *n2 *n3  + 240*a33 *m1 *m2 *n1  *n2

             3   2   8   15   9   2           3   2   8   15   7   4
    + 564*a33 *m1 *m2 *n1  *n2 *n3  - 1008*a33 *m1 *m2 *n1  *n2 *n3

             3   2   8   15   5   6         3   2   8   13   13
    - 336*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1  *n2

              3   2   8   13   11   2          3   2   8   13   9   4
    + 1376*a33 *m1 *m2 *n1  *n2  *n3  + 480*a33 *m1 *m2 *n1  *n2 *n3

             3   2   8   13   7   6          3   2   8   11   15
    - 672*a33 *m1 *m2 *n1  *n2 *n3  - 304*a33 *m1 *m2 *n1  *n2

             3   2   8   11   13   2           3   2   8   11   11   4
    + 160*a33 *m1 *m2 *n1  *n2  *n3  + 2208*a33 *m1 *m2 *n1  *n2  *n3

             3   2   8   11   9   6         3   2   8   9   17
    + 288*a33 *m1 *m2 *n1  *n2 *n3  - 96*a33 *m1 *m2 *n1 *n2

              3   2   8   9   15   2          3   2   8   9   13   4
    - 1140*a33 *m1 *m2 *n1 *n2  *n3  + 720*a33 *m1 *m2 *n1 *n2  *n3

              3   2   8   9   11   6         3   2   8   7   19
    + 1200*a33 *m1 *m2 *n1 *n2  *n3  + 80*a33 *m1 *m2 *n1 *n2

             3   2   8   7   17   2           3   2   8   7   15   4
    - 620*a33 *m1 *m2 *n1 *n2  *n3  - 1200*a33 *m1 *m2 *n1 *n2  *n3

             3   2   8   7   13   6         3   2   8   5   21
    + 240*a33 *m1 *m2 *n1 *n2  *n3  + 40*a33 *m1 *m2 *n1 *n2

             3   2   8   5   19   2          3   2   8   5   17   4
    + 104*a33 *m1 *m2 *n1 *n2  *n3  - 768*a33 *m1 *m2 *n1 *n2  *n3

             3   2   8   5   15   6         3   2   8   3   21   2
    - 576*a33 *m1 *m2 *n1 *n2  *n3  + 96*a33 *m1 *m2 *n1 *n2  *n3

             3   2   8   3   17   6         3   2   8      21   4
    - 192*a33 *m1 *m2 *n1 *n2  *n3  + 48*a33 *m1 *m2 *n1*n2  *n3

            3   2   8      19   6         3      9   20   6
    + 48*a33 *m1 *m2 *n1*n2  *n3  - 16*a33 *m1*m2 *n1  *n2

            3      9   18   8          3      9   18   6   2
    - 44*a33 *m1*m2 *n1  *n2  - 100*a33 *m1*m2 *n1  *n2 *n3

             3      9   16   8   2          3      9   16   6   4
    - 296*a33 *m1*m2 *n1  *n2 *n3  - 192*a33 *m1*m2 *n1  *n2 *n3

             3      9   14   12          3      9   14   10   2
    + 100*a33 *m1*m2 *n1  *n2   - 124*a33 *m1*m2 *n1  *n2  *n3

             3      9   14   8   4          3      9   14   6   6
    - 560*a33 *m1*m2 *n1  *n2 *n3  - 112*a33 *m1*m2 *n1  *n2 *n3

            3      9   12   14          3      9   12   12   2
    + 80*a33 *m1*m2 *n1  *n2   + 400*a33 *m1*m2 *n1  *n2  *n3

             3      9   12   10   4          3      9   12   8   6
    - 288*a33 *m1*m2 *n1  *n2  *n3  - 288*a33 *m1*m2 *n1  *n2 *n3

            3      9   10   16          3      9   10   14   2
    - 36*a33 *m1*m2 *n1  *n2   + 420*a33 *m1*m2 *n1  *n2  *n3

             3      9   10   12   4         3      9   10   10   6
    + 560*a33 *m1*m2 *n1  *n2  *n3  - 80*a33 *m1*m2 *n1  *n2  *n3

            3      9   8   18         3      9   8   16   2
    - 64*a33 *m1*m2 *n1 *n2   - 40*a33 *m1*m2 *n1 *n2  *n3

             3      9   8   14   4          3      9   8   12   6
    + 640*a33 *m1*m2 *n1 *n2  *n3  + 320*a33 *m1*m2 *n1 *n2  *n3

            3      9   6   20          3      9   6   18   2
    - 20*a33 *m1*m2 *n1 *n2   - 196*a33 *m1*m2 *n1 *n2  *n3

            3      9   6   16   4          3      9   6   14   6
    + 48*a33 *m1*m2 *n1 *n2  *n3  + 240*a33 *m1*m2 *n1 *n2  *n3

            3      9   4   20   2          3      9   4   18   4
    - 64*a33 *m1*m2 *n1 *n2  *n3  - 160*a33 *m1*m2 *n1 *n2  *n3

            3      9   4   16   6         3      9   2   20   4
    - 32*a33 *m1*m2 *n1 *n2  *n3  - 48*a33 *m1*m2 *n1 *n2  *n3

            3      9   2   18   6        3   10   19   7         3   10   17   9
    - 48*a33 *m1*m2 *n1 *n2  *n3  - 4*a33 *m2  *n1  *n2  - 16*a33 *m2  *n1  *n2

            3   10   17   7   2         3   10   15   11
    - 20*a33 *m2  *n1  *n2 *n3  - 20*a33 *m2  *n1  *n2

            3   10   15   9   2         3   10   15   7   4
    - 76*a33 *m2  *n1  *n2 *n3  - 32*a33 *m2  *n1  *n2 *n3

            3   10   13   11   2          3   10   13   9   4
    - 88*a33 *m2  *n1  *n2  *n3  - 112*a33 *m2  *n1  *n2 *n3

            3   10   13   7   6         3   10   11   15
    - 16*a33 *m2  *n1  *n2 *n3  + 20*a33 *m2  *n1  *n2

           3   10   11   13   2          3   10   11   11   4
    + 8*a33 *m2  *n1  *n2  *n3  - 112*a33 *m2  *n1  *n2  *n3

            3   10   11   9   6         3   10   9   17
    - 48*a33 *m2  *n1  *n2 *n3  + 16*a33 *m2  *n1 *n2

            3   10   9   15   2         3   10   9   13   4
    + 92*a33 *m2  *n1 *n2  *n3  + 32*a33 *m2  *n1 *n2  *n3

            3   10   9   11   6        3   10   7   19
    - 32*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2

            3   10   7   17   2          3   10   7   15   4
    + 68*a33 *m2  *n1 *n2  *n3  + 128*a33 *m2  *n1 *n2  *n3

            3   10   7   13   6         3   10   5   19   2
    + 32*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3

            3   10   5   17   4         3   10   5   15   6
    + 80*a33 *m2  *n1 *n2  *n3  + 48*a33 *m2  *n1 *n2  *n3

            3   10   3   19   4         3   10   3   17   6
    + 16*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3 )


             2   6   8   4   3             2   6   8   2   5
r13=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   6   6   3              2   6   6   4   5
      - 4*a33 *m1 *n1 *n2 *n3 *r214 + 12*a33 *m1 *n1 *n2 *n3 *r214

             2   6   6   2   7             2   6   4   6   5
      - 8*a33 *m1 *n1 *n2 *n3 *r214 + 4*a33 *m1 *n1 *n2 *n3 *r214

             2   6   4   4   7             2   5      9   5
      - 8*a33 *m1 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2*n1 *n2 *n3*r214

              2   5      9   3   3              2   5      9      5
      + 20*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2*n3 *r214

             2   5      7   7                 2   5      7   5   3
      - 8*a33 *m1 *m2*n1 *n2 *n3*r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      7   3   5              2   5      7      7
      - 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2*n3 *r214

             2   5      5   9                2   5      5   7   3
      - 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      5   5   5              2   5      5   3   7
      + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      3   9   3             2   5      3   7   5
      + 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   5   7             2   5   8   5   3
      - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   8   3   5             2   5   8      7
      + 6*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2*n3 *r216

             2   5   6   7   3              2   5   6   5   5
      - 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *n1 *n2 *n3 *r216

             2   5   6   3   7             2   5   4   9   3
      - 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   4   7   5             2   5   4   5   7
      + 6*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   4   2   10   4                 2   4   2   10   2   3
      + 12*a33 *m1 *m2 *n1  *n2 *n3*r214 - 28*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   4   2   10   5              2   4   2   8   6
      + 8*a33 *m1 *m2 *n1  *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3*r214

             2   4   2   8   4   3              2   4   2   8   2   5
      + 4*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   2   8   7             2   4   2   6   8
      - 8*a33 *m1 *m2 *n1 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   2   6   6   3              2   4   2   6   4   5
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   6   2   7             2   4   2   4   10
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   4   2   4   8   3             2   4   2   4   6   5
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   4   4   7             2   4   2   2   10   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   2   2   8   5              2   4   2   2   6   7
      - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4      9   6                 2   4      9   4   3
      - 2*a33 *m1 *m2*n1 *n2 *n3*r216 + 10*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      9   2   5             2   4      9   7
      - 12*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

             2   4      7   8                 2   4      7   6   3
      - 6*a33 *m1 *m2*n1 *n2 *n3*r216 + 20*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      7   4   5             2   4      7   2   7
      - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 - 8*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      5   10                 2   4      5   8   3
      - 6*a33 *m1 *m2*n1 *n2  *n3*r216 + 10*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      5   6   5              2   4      5   4   7
      + 24*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      3   12                 2   4      3   8   5
      - 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 18*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   6   7              2   3   3   11   3
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   3   3   11      3              2   3   3   9   3   3
      + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 52*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   9      5              2   3   3   7   7
      + 20*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   3   3   7   5   3              2   3   3   7      7
      - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2*n3 *r214

              2   3   3   5   9                 2   3   3   5   3   7
      + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   3   3   11                2   3   3   3   9   3
      - 4*a33 *m1 *m2 *n1 *n2  *n3*r214 + 4*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   3   5   7             2   3   3      11   3
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   3      9   5              2   3   3      7   7
      - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   3   2   10   5                 2   3   2   10   3   3
      + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 - 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   3   2   10      5             2   3   2   8   7
      + 6*a33 *m1 *m2 *n1  *n2*n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   3   2   8   3   5              2   3   2   8      7
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2*n3 *r216

              2   3   2   6   7   3              2   3   2   6   5   5
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   6   3   7             2   3   2   4   11
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   3   2   4   9   3              2   3   2   4   5   7
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   2   13                 2   3   2   2   11   3
      - 4*a33 *m1 *m2 *n1 *n2  *n3*r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   2   2   9   5              2   3   2   2   7   7
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   4   12   2                 2   2   4   10   4
      + 4*a33 *m1 *m2 *n1  *n2 *n3*r214 - 16*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   2   4   10   2   3              2   2   4   8   6
      + 32*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

             2   2   4   8   4   3              2   2   4   8   2   5
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   6   3             2   2   4   6   4   5
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   2   7              2   2   4   4   10
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   2   4   4   8   3              2   2   4   4   6   5
      - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   4   4   7             2   2   4   2   10   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   4   2   8   5              2   2   4   2   6   7
      + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   4   10   5             2   2   4   8   7
      - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

             2   2   3   11   4                2   2   3   11   2   3
      - 2*a33 *m1 *m2 *n1  *n2 *n3*r216 + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   2   3   9   6                 2   2   3   9   4   3
      + 2*a33 *m1 *m2 *n1 *n2 *n3*r216 - 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   9   2   5              2   2   3   7   8
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   3   7   6   3              2   2   3   7   2   7
      - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   10                 2   2   3   5   6   5
      + 16*a33 *m1 *m2 *n1 *n2  *n3*r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   4   7             2   2   3   3   12
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   2   3   3   10   3              2   2   3   3   8   5
      + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3   3   6   7             2   2   3      14
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *n3*r216

              2   2   3      12   3             2   2   3      10   5
      + 12*a33 *m1 *m2 *n1*n2  *n3 *r216 + 6*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   3      8   7             2      5   11   3
      - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1  *n2 *n3*r214

             2      5   9   5                 2      5   9   3   3
      + 4*a33 *m1*m2 *n1 *n2 *n3*r214 + 28*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   7   7                 2      5   7   5   3
      - 16*a33 *m1*m2 *n1 *n2 *n3*r214 + 28*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      5   7   3   5              2      5   5   9
      - 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *n3*r214

             2      5   5   7   3              2      5   5   5   5
      - 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   5   3   7             2      5   3   9   3
      - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 4*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      5   3   7   5              2      5   3   5   7
      + 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5      9   5              2      5      7   7
      + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

             2      4   10   5                2      4   10   3   3
      - 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 4*a33 *m1*m2 *n1  *n2 *n3 *r216

             2      4   8   7                 2      4   8   5   3
      - 8*a33 *m1*m2 *n1 *n2 *n3*r216 - 10*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   8   3   5              2      4   6   7   3
      + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   6   5   5              2      4   6   3   7
      + 24*a33 *m1*m2 *n1 *n2 *n3 *r216 + 16*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   4   11                 2      4   4   9   3
      + 8*a33 *m1*m2 *n1 *n2  *n3*r216 - 30*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   4   7   5              2      4   4   5   7
      - 6*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   2   13                 2      4   2   9   5
      + 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 12*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   2   7   7             2      4   13   3
      + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

             2      4   9   7             2   6   10   4
      - 4*a33 *m1*m2 *n2 *n3 *r216 + 4*a33 *m2 *n1  *n2 *n3*r214

             2   6   8   6                2   6   8   4   3
      + 8*a33 *m2 *n1 *n2 *n3*r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   6   8                 2   6   6   6   3
      + 4*a33 *m2 *n1 *n2 *n3*r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

             2   6   6   4   5             2   6   4   8   3
      - 4*a33 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   6   5             2   6   4   4   7
      - 12*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   2   8   5             2   6   2   6   7
      - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   5   9   6                2   5   9   4   3
      - 2*a33 *m2 *n1 *n2 *n3*r216 + 2*a33 *m2 *n1 *n2 *n3 *r216

             2   5   7   8                2   5   7   4   5
      - 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

             2   5   5   10                 2   5   5   8   3
      - 6*a33 *m2 *n1 *n2  *n3*r216 - 10*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   6   5             2   5   5   4   7
      + 12*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

             2   5   3   12                 2   5   3   10   3
      - 2*a33 *m2 *n1 *n2  *n3*r216 - 12*a33 *m2 *n1 *n2  *n3 *r216

             2   5   3   8   5             2   5   3   6   7
      + 6*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

             2   5      12   3             2   5      8   7
      - 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

          5   10   5   3            5   10   3   5            5   10      7
      - m1 *n1  *n2 *n3 *r496 + 3*m1 *n1  *n2 *n3 *r496 - 2*m1 *n1  *n2*n3 *r496

            5   8   7   3            5   8   5   5            5   8   3   7
      - 2*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496

          5   6   9   3            5   6   7   5            5   6   5   7
      - m1 *n1 *n2 *n3 *r496 + 3*m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

          4      11   6               4      11   4   3
      - m1 *m2*n1  *n2 *n3*r496 + 4*m1 *m2*n1  *n2 *n3 *r496

            4      11   2   5            4      9   8
      - 3*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *n3*r496

            4      9   6   3            4      9   4   5
      + 7*m1 *m2*n1 *n2 *n3 *r496 + 6*m1 *m2*n1 *n2 *n3 *r496

             4      9   2   7            4      7   10
      - 10*m1 *m2*n1 *n2 *n3 *r496 - 3*m1 *m2*n1 *n2  *n3*r496

            4      7   8   3             4      7   6   5
      + 2*m1 *m2*n1 *n2 *n3 *r496 + 21*m1 *m2*n1 *n2 *n3 *r496

             4      7   4   7          4      5   12
      - 20*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *n3*r496

          4      5   10   3             4      5   8   5
      - m1 *m2*n1 *n2  *n3 *r496 + 12*m1 *m2*n1 *n2 *n3 *r496

             4      5   6   7          3   2   12   5
      - 10*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *n3*r496

          3   2   12   3   3             3   2   10   5   3
      - m1 *m2 *n1  *n2 *n3 *r496 + 12*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   3   5            3   2   8   9
      - 12*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2 *n3*r496

             3   2   8   7   3            3   2   8   5   5
      + 32*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2 *n3 *r496

             3   2   8   3   7            3   2   6   11
      - 20*m1 *m2 *n1 *n2 *n3 *r496 - 8*m1 *m2 *n1 *n2  *n3*r496

             3   2   6   9   3             3   2   6   7   5
      + 24*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   5   7            3   2   4   13
      - 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *n3*r496

            3   2   4   11   3             3   2   4   9   5
      + 5*m1 *m2 *n1 *n2  *n3 *r496 + 18*m1 *m2 *n1 *n2 *n3 *r496

             3   2   4   7   7            2   3   11   6
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1  *n2 *n3*r496

            2   3   11   4   3            2   3   9   8
      - 3*m1 *m2 *n1  *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2 *n3*r496

             2   3   9   6   3             2   3   9   4   5
      + 12*m1 *m2 *n1 *n2 *n3 *r496 - 18*m1 *m2 *n1 *n2 *n3 *r496

             2   3   7   8   3             2   3   7   6   5
      + 44*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             2   3   7   4   7            2   3   5   12
      - 20*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2  *n3*r496

             2   3   5   10   3            2   3   5   8   5
      + 40*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n1 *n2 *n3 *r496

             2   3   5   6   7            2   3   3   14
      - 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *n3*r496

             2   3   3   12   3             2   3   3   10   5
      + 11*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1 *n2  *n3 *r496

             2   3   3   8   7               4   10   7
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1*m2 *n1  *n2 *n3*r496

               4   10   5   3               4   8   9
      - 3*m1*m2 *n1  *n2 *n3 *r496 + 8*m1*m2 *n1 *n2 *n3*r496

               4   8   7   3                4   8   5   5
      + 4*m1*m2 *n1 *n2 *n3 *r496 - 12*m1*m2 *n1 *n2 *n3 *r496

               4   6   11                   4   6   9   3
      + 6*m1*m2 *n1 *n2  *n3*r496 + 25*m1*m2 *n1 *n2 *n3 *r496

                4   6   7   5                4   6   5   7
      - 21*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

                4   4   11   3               4   4   9   5
      + 26*m1*m2 *n1 *n2  *n3 *r496 - 6*m1*m2 *n1 *n2 *n3 *r496

                4   4   7   7             4   2   15
      - 20*m1*m2 *n1 *n2 *n3 *r496 - m1*m2 *n1 *n2  *n3*r496

               4   2   13   3               4   2   11   5
      + 8*m1*m2 *n1 *n2  *n3 *r496 + 3*m1*m2 *n1 *n2  *n3 *r496

                4   2   9   7          5   9   8             5   9   6   3
      - 10*m1*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2 *n3*r496 - m2 *n1 *n2 *n3 *r496

            5   7   10               5   7   6   5            5   5   12
      + 3*m2 *n1 *n2  *n3*r496 - 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2  *n3*r496

            5   5   10   3            5   5   8   5
      + 5*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1 *n2 *n3 *r496

            5   5   6   7          5   3   14               5   3   12   3
      - 2*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2  *n3*r496 + 6*m2 *n1 *n2  *n3 *r496

            5   3   10   5            5   3   8   7
      - 3*m2 *n1 *n2  *n3 *r496 - 4*m2 *n1 *n2 *n3 *r496

            5      14   3            5      10   7             3   6   8   4   2
      + 2*m2 *n1*n2  *n3 *r496 - 2*m2 *n1*n2  *n3 *r496)/(4*a33 *m1 *n1 *n2 *n3

           3   6   8   2   4        3   6   4   8   2        3   6   4   6   4
    - 8*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3  + 8*a33 *m1 *n1 *n2 *n3

           3   5      9   5         3   5      9   3   2
    + 4*a33 *m1 *m2*n1 *n2  - 20*a33 *m1 *m2*n1 *n2 *n3

            3   5      9      4        3   5      7   7
    + 16*a33 *m1 *m2*n1 *n2*n3  + 4*a33 *m1 *m2*n1 *n2

           3   5      7   5   2         3   5      7   3   4
    + 4*a33 *m1 *m2*n1 *n2 *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

           3   5      5   9         3   5      5   7   2
    - 4*a33 *m1 *m2*n1 *n2  + 20*a33 *m1 *m2*n1 *n2 *n3

            3   5      5   5   4        3   5      3   11
    - 16*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

           3   5      3   9   2         3   5      3   7   4
    - 4*a33 *m1 *m2*n1 *n2 *n3  + 32*a33 *m1 *m2*n1 *n2 *n3

            3   4   2   10   4         3   4   2   10   2   2
    - 12*a33 *m1 *m2 *n1  *n2  + 28*a33 *m1 *m2 *n1  *n2 *n3

           3   4   2   10   4        3   4   2   8   6
    - 8*a33 *m1 *m2 *n1  *n3  - 4*a33 *m1 *m2 *n1 *n2

            3   4   2   8   4   2         3   4   2   8   2   4
    - 44*a33 *m1 *m2 *n1 *n2 *n3  + 64*a33 *m1 *m2 *n1 *n2 *n3

            3   4   2   6   8         3   4   2   6   6   2
    + 20*a33 *m1 *m2 *n1 *n2  - 40*a33 *m1 *m2 *n1 *n2 *n3

            3   4   2   6   4   4        3   4   2   4   10
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2

            3   4   2   4   8   2         3   4   2   4   6   4
    + 44*a33 *m1 *m2 *n1 *n2 *n3  - 64*a33 *m1 *m2 *n1 *n2 *n3

           3   4   2   2   12         3   4   2   2   10   2
    - 8*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

            3   4   2   2   8   4         3   3   3   11   3
    + 48*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1  *n2

            3   3   3   11      2         3   3   3   9   5
    - 12*a33 *m1 *m2 *n1  *n2*n3  - 12*a33 *m1 *m2 *n1 *n2

            3   3   3   9   3   2         3   3   3   9      4
    + 76*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2*n3

            3   3   3   7   7         3   3   3   7   3   4
    - 32*a33 *m1 *m2 *n1 *n2  + 96*a33 *m1 *m2 *n1 *n2 *n3

            3   3   3   5   9         3   3   3   5   7   2
    + 16*a33 *m1 *m2 *n1 *n2  - 96*a33 *m1 *m2 *n1 *n2 *n3

            3   3   3   3   11         3   3   3   3   9   2
    + 20*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2 *n3

            3   3   3   3   7   4        3   3   3      13
    - 96*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1*n2

            3   3   3      11   2         3   3   3      9   4
    + 20*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2 *n3

           3   2   4   12   2         3   2   4   10   4
    - 4*a33 *m1 *m2 *n1  *n2  + 20*a33 *m1 *m2 *n1  *n2

            3   2   4   10   2   2         3   2   4   8   6
    - 36*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2

            3   2   4   8   4   2         3   2   4   8   2   4
    + 60*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2 *n3

            3   2   4   6   8         3   2   4   6   6   2
    - 32*a33 *m1 *m2 *n1 *n2  + 64*a33 *m1 *m2 *n1 *n2 *n3

            3   2   4   6   4   4         3   2   4   4   10
    + 64*a33 *m1 *m2 *n1 *n2 *n3  - 12*a33 *m1 *m2 *n1 *n2

            3   2   4   4   8   2         3   2   4   4   6   4
    - 68*a33 *m1 *m2 *n1 *n2 *n3  + 40*a33 *m1 *m2 *n1 *n2 *n3

            3   2   4   2   12         3   2   4   2   10   2
    + 12*a33 *m1 *m2 *n1 *n2   - 28*a33 *m1 *m2 *n1 *n2  *n3

            3   2   4   2   8   4        3   2   4   12   2
    - 64*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n2  *n3

           3   2   4   10   4        3      5   11   3        3      5   9   5
    + 8*a33 *m1 *m2 *n2  *n3  - 8*a33 *m1*m2 *n1  *n2  + 4*a33 *m1*m2 *n1 *n2

            3      5   9   3   2         3      5   7   7
    - 36*a33 *m1*m2 *n1 *n2 *n3  + 20*a33 *m1*m2 *n1 *n2

           3      5   7   5   2         3      5   7   3   4
    + 4*a33 *m1*m2 *n1 *n2 *n3  - 32*a33 *m1*m2 *n1 *n2 *n3

           3      5   5   9         3      5   5   7   2
    - 4*a33 *m1*m2 *n1 *n2  + 52*a33 *m1*m2 *n1 *n2 *n3

            3      5   5   5   4         3      5   3   11
    + 16*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2

           3      5   3   9   2         3      5   3   7   4
    - 4*a33 *m1*m2 *n1 *n2 *n3  + 32*a33 *m1*m2 *n1 *n2 *n3

            3      5      11   2         3      5      9   4
    - 16*a33 *m1*m2 *n1*n2  *n3  - 16*a33 *m1*m2 *n1*n2 *n3

           3   6   10   4        3   6   8   6         3   6   8   4   2
    - 4*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1 *n2  - 12*a33 *m2 *n1 *n2 *n3

           3   6   6   8        3   6   6   6   2        3   6   6   4   4
    + 4*a33 *m2 *n1 *n2  - 8*a33 *m2 *n1 *n2 *n3  - 8*a33 *m2 *n1 *n2 *n3

           3   6   4   10         3   6   4   8   2        3   6   2   10   2
    + 4*a33 *m2 *n1 *n2   + 12*a33 *m2 *n1 *n2 *n3  + 8*a33 *m2 *n1 *n2  *n3

           3   6   2   8   4
    + 8*a33 *m2 *n1 *n2 *n3 )


             2   6   8   5   2             2   6   8   3   4
r14=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   6   7   2              2   6   6   5   4
      - 4*a33 *m1 *n1 *n2 *n3 *r214 + 12*a33 *m1 *n1 *n2 *n3 *r214

             2   6   6   3   6             2   6   4   7   4
      - 8*a33 *m1 *n1 *n2 *n3 *r214 + 4*a33 *m1 *n1 *n2 *n3 *r214

             2   6   4   5   6             2   5      9   6
      - 8*a33 *m1 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2*n1 *n2 *r214

              2   5      9   4   2              2   5      9   2   4
      + 20*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      7   8              2   5      7   6   2
      - 8*a33 *m1 *m2*n1 *n2 *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      7   4   4              2   5      7   2   6
      - 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      5   10             2   5      5   8   2
      - 4*a33 *m1 *m2*n1 *n2  *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      5   6   4              2   5      5   4   6
      + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      3   10   2             2   5      3   8   4
      + 4*a33 *m1 *m2*n1 *n2  *n3 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   6   6             2   5   8   6   2
      - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   8   4   4             2   5   8   2   6
      + 6*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

             2   5   6   8   2              2   5   6   6   4
      - 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *n1 *n2 *n3 *r216

             2   5   6   4   6             2   5   4   10   2
      - 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2  *n3 *r216

             2   5   4   8   4             2   5   4   6   6
      + 6*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   4   2   10   5              2   4   2   10   3   2
      + 12*a33 *m1 *m2 *n1  *n2 *r214 - 28*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   4   2   10      4              2   4   2   8   7
      + 8*a33 *m1 *m2 *n1  *n2*n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *r214

             2   4   2   8   5   2              2   4   2   8   3   4
      + 4*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   2   8      6             2   4   2   6   9
      - 8*a33 *m1 *m2 *n1 *n2*n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

              2   4   2   6   7   2              2   4   2   6   5   4
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   6   3   6             2   4   2   4   11
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2  *r214

              2   4   2   4   9   2             2   4   2   4   7   4
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   4   5   6             2   4   2   2   11   2
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   2   2   9   4              2   4   2   2   7   6
      - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4      9   7              2   4      9   5   2
      - 2*a33 *m1 *m2*n1 *n2 *r216 + 10*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      9   3   4             2   4      9      6
      - 12*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n2*n3 *r216

             2   4      7   9              2   4      7   7   2
      - 6*a33 *m1 *m2*n1 *n2 *r216 + 20*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      7   5   4             2   4      7   3   6
      - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 - 8*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      5   11              2   4      5   9   2
      - 6*a33 *m1 *m2*n1 *n2  *r216 + 10*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      5   7   4              2   4      5   5   6
      + 24*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      3   13              2   4      3   9   4
      - 2*a33 *m1 *m2*n1 *n2  *r216 + 18*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   7   6              2   3   3   11   4
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r214

              2   3   3   11   2   2              2   3   3   9   4   2
      + 12*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 52*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   9   2   4              2   3   3   7   8
      + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

              2   3   3   7   6   2              2   3   3   7   2   6
      - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   5   10              2   3   3   5   4   6
      + 16*a33 *m1 *m2 *n1 *n2  *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   3   3   12             2   3   3   3   10   2
      - 4*a33 *m1 *m2 *n1 *n2  *r214 + 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   3   3   6   6             2   3   3      12   2
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   3      10   4              2   3   3      8   6
      - 20*a33 *m1 *m2 *n1*n2  *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   3   2   10   6              2   3   2   10   4   2
      + 4*a33 *m1 *m2 *n1  *n2 *r216 - 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   3   2   10   2   4             2   3   2   8   8
      + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

              2   3   2   8   4   4              2   3   2   8   2   6
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   8   2              2   3   2   6   6   4
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   6   4   6             2   3   2   4   12
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

              2   3   2   4   10   2              2   3   2   4   6   6
      + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   2   14              2   3   2   2   12   2
      - 4*a33 *m1 *m2 *n1 *n2  *r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   2   2   10   4              2   3   2   2   8   6
      + 18*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   4   12   3              2   2   4   10   5
      + 4*a33 *m1 *m2 *n1  *n2 *r214 - 16*a33 *m1 *m2 *n1  *n2 *r214

              2   2   4   10   3   2              2   2   4   8   7
      + 32*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

             2   2   4   8   5   2              2   2   4   8   3   4
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   7   2             2   2   4   6   5   4
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   3   6              2   2   4   4   11
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

              2   2   4   4   9   2              2   2   4   4   7   4
      - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   4   5   6             2   2   4   2   11   2
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   4   2   9   4              2   2   4   2   7   6
      + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   4   11   4             2   2   4   9   6
      - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

             2   2   3   11   5             2   2   3   11   3   2
      - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   2   3   9   7              2   2   3   9   5   2
      + 2*a33 *m1 *m2 *n1 *n2 *r216 - 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   9   3   4              2   2   3   7   9
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

              2   2   3   7   7   2              2   2   3   7   3   6
      - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   11              2   2   3   5   7   4
      + 16*a33 *m1 *m2 *n1 *n2  *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   5   6             2   2   3   3   13
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

              2   2   3   3   11   2              2   2   3   3   9   4
      + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3   3   7   6             2   2   3      15
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *r216

              2   2   3      13   2             2   2   3      11   4
      + 12*a33 *m1 *m2 *n1*n2  *n3 *r216 + 6*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   3      9   6             2      5   11   4
      - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1  *n2 *r214

             2      5   9   6              2      5   9   4   2
      + 4*a33 *m1*m2 *n1 *n2 *r214 + 28*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   7   8              2      5   7   6   2
      - 16*a33 *m1*m2 *n1 *n2 *r214 + 28*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      5   7   4   4              2      5   5   10
      - 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2  *r214

             2      5   5   8   2              2      5   5   6   4
      - 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   5   4   6             2      5   3   10   2
      - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 4*a33 *m1*m2 *n1 *n2  *n3 *r214

             2      5   3   8   4              2      5   3   6   6
      + 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5      10   4              2      5      8   6
      + 16*a33 *m1*m2 *n1*n2  *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

             2      4   10   6             2      4   10   4   2
      - 4*a33 *m1*m2 *n1  *n2 *r216 + 4*a33 *m1*m2 *n1  *n2 *n3 *r216

             2      4   8   8              2      4   8   6   2
      - 8*a33 *m1*m2 *n1 *n2 *r216 - 10*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   8   4   4              2      4   6   8   2
      + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   6   6   4              2      4   6   4   6
      + 24*a33 *m1*m2 *n1 *n2 *n3 *r216 + 16*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   4   12              2      4   4   10   2
      + 8*a33 *m1*m2 *n1 *n2  *r216 - 30*a33 *m1*m2 *n1 *n2  *n3 *r216

             2      4   4   8   4              2      4   4   6   6
      - 6*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   2   14              2      4   2   10   4
      + 4*a33 *m1*m2 *n1 *n2  *r216 - 12*a33 *m1*m2 *n1 *n2  *n3 *r216

             2      4   2   8   6             2      4   14   2
      + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

             2      4   10   6             2   6   10   5
      - 4*a33 *m1*m2 *n2  *n3 *r216 + 4*a33 *m2 *n1  *n2 *r214

             2   6   8   7             2   6   8   5   2
      + 8*a33 *m2 *n1 *n2 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   6   9              2   6   6   7   2
      + 4*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

             2   6   6   5   4             2   6   4   9   2
      - 4*a33 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   7   4             2   6   4   5   6
      - 12*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   2   9   4             2   6   2   7   6
      - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   5   9   7             2   5   9   5   2
      - 2*a33 *m2 *n1 *n2 *r216 + 2*a33 *m2 *n1 *n2 *n3 *r216

             2   5   7   9             2   5   7   5   4
      - 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

             2   5   5   11              2   5   5   9   2
      - 6*a33 *m2 *n1 *n2  *r216 - 10*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   7   4             2   5   5   5   6
      + 12*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

             2   5   3   13              2   5   3   11   2
      - 2*a33 *m2 *n1 *n2  *r216 - 12*a33 *m2 *n1 *n2  *n3 *r216

             2   5   3   9   4             2   5   3   7   6
      + 6*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

             2   5      13   2             2   5      9   6
      - 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

          5   10   6   2            5   10   4   4
      - m1 *n1  *n2 *n3 *r496 + 3*m1 *n1  *n2 *n3 *r496

            5   10   2   6            5   8   8   2
      - 2*m1 *n1  *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

            5   8   6   4            5   8   4   6          5   6   10   2
      + 6*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2  *n3 *r496

            5   6   8   4            5   6   6   6          4      11   7
      + 3*m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 - m1 *m2*n1  *n2 *r496

            4      11   5   2            4      11   3   4
      + 4*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1  *n2 *n3 *r496

            4      9   9            4      9   7   2
      - 3*m1 *m2*n1 *n2 *r496 + 7*m1 *m2*n1 *n2 *n3 *r496

            4      9   5   4             4      9   3   6
      + 6*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

            4      7   11            4      7   9   2
      - 3*m1 *m2*n1 *n2  *r496 + 2*m1 *m2*n1 *n2 *n3 *r496

             4      7   7   4             4      7   5   6
      + 21*m1 *m2*n1 *n2 *n3 *r496 - 20*m1 *m2*n1 *n2 *n3 *r496

          4      5   13          4      5   11   2
      - m1 *m2*n1 *n2  *r496 - m1 *m2*n1 *n2  *n3 *r496

             4      5   9   4             4      5   7   6
      + 12*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

          3   2   12   6          3   2   12   4   2
      + m1 *m2 *n1  *n2 *r496 - m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   6   2             3   2   10   4   4
      + 12*m1 *m2 *n1  *n2 *n3 *r496 - 12*m1 *m2 *n1  *n2 *n3 *r496

            3   2   8   10             3   2   8   8   2
      - 6*m1 *m2 *n1 *n2  *r496 + 32*m1 *m2 *n1 *n2 *n3 *r496

            3   2   8   6   4             3   2   8   4   6
      - 6*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

            3   2   6   12             3   2   6   10   2
      - 8*m1 *m2 *n1 *n2  *r496 + 24*m1 *m2 *n1 *n2  *n3 *r496

             3   2   6   8   4             3   2   6   6   6
      + 24*m1 *m2 *n1 *n2 *n3 *r496 - 40*m1 *m2 *n1 *n2 *n3 *r496

            3   2   4   14            3   2   4   12   2
      - 3*m1 *m2 *n1 *n2  *r496 + 5*m1 *m2 *n1 *n2  *n3 *r496

             3   2   4   10   4             3   2   4   8   6
      + 18*m1 *m2 *n1 *n2  *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

            2   3   11   7            2   3   11   5   2
      + 3*m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2 *n3 *r496

            2   3   9   9             2   3   9   7   2
      + 6*m1 *m2 *n1 *n2 *r496 + 12*m1 *m2 *n1 *n2 *n3 *r496

             2   3   9   5   4             2   3   7   9   2
      - 18*m1 *m2 *n1 *n2 *n3 *r496 + 44*m1 *m2 *n1 *n2 *n3 *r496

             2   3   7   7   4             2   3   7   5   6
      - 24*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

            2   3   5   13             2   3   5   11   2
      - 6*m1 *m2 *n1 *n2  *r496 + 40*m1 *m2 *n1 *n2  *n3 *r496

            2   3   5   9   4             2   3   5   7   6
      + 6*m1 *m2 *n1 *n2 *n3 *r496 - 40*m1 *m2 *n1 *n2 *n3 *r496

            2   3   3   15             2   3   3   13   2
      - 3*m1 *m2 *n1 *n2  *r496 + 11*m1 *m2 *n1 *n2  *n3 *r496

             2   3   3   11   4             2   3   3   9   6
      + 12*m1 *m2 *n1 *n2  *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

               4   10   8               4   10   6   2
      + 3*m1*m2 *n1  *n2 *r496 - 3*m1*m2 *n1  *n2 *n3 *r496

               4   8   10               4   8   8   2
      + 8*m1*m2 *n1 *n2  *r496 + 4*m1*m2 *n1 *n2 *n3 *r496

                4   8   6   4               4   6   12
      - 12*m1*m2 *n1 *n2 *n3 *r496 + 6*m1*m2 *n1 *n2  *r496

                4   6   10   2                4   6   8   4
      + 25*m1*m2 *n1 *n2  *n3 *r496 - 21*m1*m2 *n1 *n2 *n3 *r496

                4   6   6   6                4   4   12   2
      - 10*m1*m2 *n1 *n2 *n3 *r496 + 26*m1*m2 *n1 *n2  *n3 *r496

               4   4   10   4                4   4   8   6
      - 6*m1*m2 *n1 *n2  *n3 *r496 - 20*m1*m2 *n1 *n2 *n3 *r496

             4   2   16               4   2   14   2
      - m1*m2 *n1 *n2  *r496 + 8*m1*m2 *n1 *n2  *n3 *r496

               4   2   12   4                4   2   10   6
      + 3*m1*m2 *n1 *n2  *n3 *r496 - 10*m1*m2 *n1 *n2  *n3 *r496

          5   9   9          5   9   7   2            5   7   11
      + m2 *n1 *n2 *r496 - m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2  *r496

            5   7   7   4            5   5   13            5   5   11   2
      - 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2  *r496 + 5*m2 *n1 *n2  *n3 *r496

            5   5   9   4            5   5   7   6          5   3   15
      - 6*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2  *r496

            5   3   13   2            5   3   11   4
      + 6*m2 *n1 *n2  *n3 *r496 - 3*m2 *n1 *n2  *n3 *r496

            5   3   9   6            5      15   2            5      11   6
      - 4*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1*n2  *n3 *r496 - 2*m2 *n1*n2  *n3 *r496

             3   6   8   4   2        3   6   8   2   4        3   6   4   8   2
     )/(4*a33 *m1 *n1 *n2 *n3  - 8*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3

                3   6   4   6   4        3   5      9   5
         + 8*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2

                 3   5      9   3   2         3   5      9      4
         - 20*a33 *m1 *m2*n1 *n2 *n3  + 16*a33 *m1 *m2*n1 *n2*n3

                3   5      7   7        3   5      7   5   2
         + 4*a33 *m1 *m2*n1 *n2  + 4*a33 *m1 *m2*n1 *n2 *n3

                 3   5      7   3   4        3   5      5   9
         - 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

                 3   5      5   7   2         3   5      5   5   4
         + 20*a33 *m1 *m2*n1 *n2 *n3  - 16*a33 *m1 *m2*n1 *n2 *n3

                3   5      3   11        3   5      3   9   2
         - 4*a33 *m1 *m2*n1 *n2   - 4*a33 *m1 *m2*n1 *n2 *n3

                 3   5      3   7   4         3   4   2   10   4
         + 32*a33 *m1 *m2*n1 *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2

                 3   4   2   10   2   2        3   4   2   10   4
         + 28*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n3

                3   4   2   8   6         3   4   2   8   4   2
         - 4*a33 *m1 *m2 *n1 *n2  - 44*a33 *m1 *m2 *n1 *n2 *n3

                 3   4   2   8   2   4         3   4   2   6   8
         + 64*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

                 3   4   2   6   6   2         3   4   2   6   4   4
         - 40*a33 *m1 *m2 *n1 *n2 *n3  - 40*a33 *m1 *m2 *n1 *n2 *n3

                3   4   2   4   10         3   4   2   4   8   2
         + 4*a33 *m1 *m2 *n1 *n2   + 44*a33 *m1 *m2 *n1 *n2 *n3

                 3   4   2   4   6   4        3   4   2   2   12
         - 64*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1 *n2

                 3   4   2   2   10   2         3   4   2   2   8   4
         + 12*a33 *m1 *m2 *n1 *n2  *n3  + 48*a33 *m1 *m2 *n1 *n2 *n3

                 3   3   3   11   3         3   3   3   11      2
         + 12*a33 *m1 *m2 *n1  *n2  - 12*a33 *m1 *m2 *n1  *n2*n3

                 3   3   3   9   5         3   3   3   9   3   2
         - 12*a33 *m1 *m2 *n1 *n2  + 76*a33 *m1 *m2 *n1 *n2 *n3

                 3   3   3   9      4         3   3   3   7   7
         - 32*a33 *m1 *m2 *n1 *n2*n3  - 32*a33 *m1 *m2 *n1 *n2

                 3   3   3   7   3   4         3   3   3   5   9
         + 96*a33 *m1 *m2 *n1 *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2

                 3   3   3   5   7   2         3   3   3   3   11
         - 96*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

                 3   3   3   3   9   2         3   3   3   3   7   4
         + 12*a33 *m1 *m2 *n1 *n2 *n3  - 96*a33 *m1 *m2 *n1 *n2 *n3

                3   3   3      13         3   3   3      11   2
         - 4*a33 *m1 *m2 *n1*n2   + 20*a33 *m1 *m2 *n1*n2  *n3

                 3   3   3      9   4        3   2   4   12   2
         + 32*a33 *m1 *m2 *n1*n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

                 3   2   4   10   4         3   2   4   10   2   2
         + 20*a33 *m1 *m2 *n1  *n2  - 36*a33 *m1 *m2 *n1  *n2 *n3

                 3   2   4   8   6         3   2   4   8   4   2
         + 16*a33 *m1 *m2 *n1 *n2  + 60*a33 *m1 *m2 *n1 *n2 *n3

                 3   2   4   8   2   4         3   2   4   6   8
         - 48*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2

                 3   2   4   6   6   2         3   2   4   6   4   4
         + 64*a33 *m1 *m2 *n1 *n2 *n3  + 64*a33 *m1 *m2 *n1 *n2 *n3

                 3   2   4   4   10         3   2   4   4   8   2
         - 12*a33 *m1 *m2 *n1 *n2   - 68*a33 *m1 *m2 *n1 *n2 *n3

                 3   2   4   4   6   4         3   2   4   2   12
         + 40*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

                 3   2   4   2   10   2         3   2   4   2   8   4
         - 28*a33 *m1 *m2 *n1 *n2  *n3  - 64*a33 *m1 *m2 *n1 *n2 *n3

                3   2   4   12   2        3   2   4   10   4
         + 8*a33 *m1 *m2 *n2  *n3  + 8*a33 *m1 *m2 *n2  *n3

                3      5   11   3        3      5   9   5
         - 8*a33 *m1*m2 *n1  *n2  + 4*a33 *m1*m2 *n1 *n2

                 3      5   9   3   2         3      5   7   7
         - 36*a33 *m1*m2 *n1 *n2 *n3  + 20*a33 *m1*m2 *n1 *n2

                3      5   7   5   2         3      5   7   3   4
         + 4*a33 *m1*m2 *n1 *n2 *n3  - 32*a33 *m1*m2 *n1 *n2 *n3

                3      5   5   9         3      5   5   7   2
         - 4*a33 *m1*m2 *n1 *n2  + 52*a33 *m1*m2 *n1 *n2 *n3

                 3      5   5   5   4         3      5   3   11
         + 16*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2

                3      5   3   9   2         3      5   3   7   4
         - 4*a33 *m1*m2 *n1 *n2 *n3  + 32*a33 *m1*m2 *n1 *n2 *n3

                 3      5      11   2         3      5      9   4
         - 16*a33 *m1*m2 *n1*n2  *n3  - 16*a33 *m1*m2 *n1*n2 *n3

                3   6   10   4        3   6   8   6         3   6   8   4   2
         - 4*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1 *n2  - 12*a33 *m2 *n1 *n2 *n3

                3   6   6   8        3   6   6   6   2        3   6   6   4   4
         + 4*a33 *m2 *n1 *n2  - 8*a33 *m2 *n1 *n2 *n3  - 8*a33 *m2 *n1 *n2 *n3

                3   6   4   10         3   6   4   8   2
         + 4*a33 *m2 *n1 *n2   + 12*a33 *m2 *n1 *n2 *n3

                3   6   2   10   2        3   6   2   8   4
         + 8*a33 *m2 *n1 *n2  *n3  + 8*a33 *m2 *n1 *n2 *n3 )


             2   6   9   4   2             2   6   9   2   4
r15=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   7   6   2              2   6   7   4   4
      - 4*a33 *m1 *n1 *n2 *n3 *r214 + 12*a33 *m1 *n1 *n2 *n3 *r214

             2   6   7   2   6             2   6   5   6   4
      - 8*a33 *m1 *n1 *n2 *n3 *r214 + 4*a33 *m1 *n1 *n2 *n3 *r214

             2   6   5   4   6             2   5      10   5
      - 8*a33 *m1 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2*n1  *n2 *r214

              2   5      10   3   2              2   5      10      4
      + 20*a33 *m1 *m2*n1  *n2 *n3 *r214 - 16*a33 *m1 *m2*n1  *n2*n3 *r214

             2   5      8   7              2   5      8   5   2
      - 8*a33 *m1 *m2*n1 *n2 *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      8   3   4              2   5      8      6
      - 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2*n3 *r214

             2   5      6   9             2   5      6   7   2
      - 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      6   5   4              2   5      6   3   6
      + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      4   9   2             2   5      4   7   4
      + 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   5   6             2   5   9   5   2
      - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   9   3   4             2   5   9      6
      + 6*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2*n3 *r216

             2   5   7   7   2              2   5   7   5   4
      - 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *n1 *n2 *n3 *r216

             2   5   7   3   6             2   5   5   9   2
      - 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   5   7   4             2   5   5   5   6
      + 6*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   4   2   11   4              2   4   2   11   2   2
      + 12*a33 *m1 *m2 *n1  *n2 *r214 - 28*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   4   2   11   4              2   4   2   9   6
      + 8*a33 *m1 *m2 *n1  *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *r214

             2   4   2   9   4   2              2   4   2   9   2   4
      + 4*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   2   9   6             2   4   2   7   8
      - 8*a33 *m1 *m2 *n1 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

              2   4   2   7   6   2              2   4   2   7   4   4
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   7   2   6             2   4   2   5   10
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2  *r214

              2   4   2   5   8   2             2   4   2   5   6   4
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   5   4   6             2   4   2   3   10   2
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   2   3   8   4              2   4   2   3   6   6
      - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4      10   6              2   4      10   4   2
      - 2*a33 *m1 *m2*n1  *n2 *r216 + 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   4      10   2   4             2   4      10   6
      - 12*a33 *m1 *m2*n1  *n2 *n3 *r216 + 4*a33 *m1 *m2*n1  *n3 *r216

             2   4      8   8              2   4      8   6   2
      - 6*a33 *m1 *m2*n1 *n2 *r216 + 20*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      8   4   4             2   4      8   2   6
      - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 - 8*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      6   10              2   4      6   8   2
      - 6*a33 *m1 *m2*n1 *n2  *r216 + 10*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      6   6   4              2   4      6   4   6
      + 24*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      4   12              2   4      4   8   4
      - 2*a33 *m1 *m2*n1 *n2  *r216 + 18*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   6   6              2   3   3   12   3
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r214

              2   3   3   12      2              2   3   3   10   3   2
      + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 52*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   3   3   10      4              2   3   3   8   7
      + 20*a33 *m1 *m2 *n1  *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

              2   3   3   8   5   2              2   3   3   8      6
      - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2*n3 *r214

              2   3   3   6   9              2   3   3   6   3   6
      + 16*a33 *m1 *m2 *n1 *n2 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   3   4   11             2   3   3   4   9   2
      - 4*a33 *m1 *m2 *n1 *n2  *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   4   5   6             2   3   3   2   11   2
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   3   2   9   4              2   3   3   2   7   6
      - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   2   11   5              2   3   2   11   3   2
      + 4*a33 *m1 *m2 *n1  *n2 *r216 - 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   3   2   11      4             2   3   2   9   7
      + 6*a33 *m1 *m2 *n1  *n2*n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

              2   3   2   9   3   4              2   3   2   9      6
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2*n3 *r216

              2   3   2   7   7   2              2   3   2   7   5   4
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   7   3   6             2   3   2   5   11
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

              2   3   2   5   9   2              2   3   2   5   5   6
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   3   13              2   3   2   3   11   2
      - 4*a33 *m1 *m2 *n1 *n2  *r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   2   3   9   4              2   3   2   3   7   6
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   4   13   2              2   2   4   11   4
      + 4*a33 *m1 *m2 *n1  *n2 *r214 - 16*a33 *m1 *m2 *n1  *n2 *r214

              2   2   4   11   2   2              2   2   4   9   6
      + 32*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

             2   2   4   9   4   2              2   2   4   9   2   4
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   7   6   2             2   2   4   7   4   4
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   7   2   6              2   2   4   5   10
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

              2   2   4   5   8   2              2   2   4   5   6   4
      - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   5   4   6             2   2   4   3   10   2
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   4   3   8   4              2   2   4   3   6   6
      + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   4      10   4             2   2   4      8   6
      - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   2   3   12   4             2   2   3   12   2   2
      - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   2   3   10   6              2   2   3   10   4   2
      + 2*a33 *m1 *m2 *n1  *n2 *r216 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   2   3   10   2   4              2   2   3   8   8
      + 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

              2   2   3   8   6   2              2   2   3   8   2   6
      - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   6   10              2   2   3   6   6   4
      + 16*a33 *m1 *m2 *n1 *n2  *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   6   4   6             2   2   3   4   12
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

              2   2   3   4   10   2              2   2   3   4   8   4
      + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3   4   6   6             2   2   3   2   14
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

              2   2   3   2   12   2             2   2   3   2   10   4
      + 12*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   3   2   8   6             2      5   12   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1  *n2 *r214

             2      5   10   5              2      5   10   3   2
      + 4*a33 *m1*m2 *n1  *n2 *r214 + 28*a33 *m1*m2 *n1  *n2 *n3 *r214

              2      5   8   7              2      5   8   5   2
      - 16*a33 *m1*m2 *n1 *n2 *r214 + 28*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      5   8   3   4              2      5   6   9
      - 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *r214

             2      5   6   7   2              2      5   6   5   4
      - 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   6   3   6             2      5   4   9   2
      - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 4*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      5   4   7   4              2      5   4   5   6
      + 4*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   2   9   4              2      5   2   7   6
      + 16*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      4   11   5             2      4   11   3   2
      - 4*a33 *m1*m2 *n1  *n2 *r216 + 4*a33 *m1*m2 *n1  *n2 *n3 *r216

             2      4   9   7              2      4   9   5   2
      - 8*a33 *m1*m2 *n1 *n2 *r216 - 10*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   9   3   4              2      4   7   7   2
      + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   7   5   4              2      4   7   3   6
      + 24*a33 *m1*m2 *n1 *n2 *n3 *r216 + 16*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   5   11              2      4   5   9   2
      + 8*a33 *m1*m2 *n1 *n2  *r216 - 30*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   5   7   4              2      4   5   5   6
      - 6*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   3   13              2      4   3   9   4
      + 4*a33 *m1*m2 *n1 *n2  *r216 - 12*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   3   7   6             2      4      13   2
      + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n1*n2  *n3 *r216

             2      4      9   6             2   6   11   4
      - 4*a33 *m1*m2 *n1*n2 *n3 *r216 + 4*a33 *m2 *n1  *n2 *r214

             2   6   9   6             2   6   9   4   2
      + 8*a33 *m2 *n1 *n2 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   7   8              2   6   7   6   2
      + 4*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

             2   6   7   4   4             2   6   5   8   2
      - 4*a33 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   6   4             2   6   5   4   6
      - 12*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   3   8   4             2   6   3   6   6
      - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   5   10   6             2   5   10   4   2
      - 2*a33 *m2 *n1  *n2 *r216 + 2*a33 *m2 *n1  *n2 *n3 *r216

             2   5   8   8             2   5   8   4   4
      - 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

             2   5   6   10              2   5   6   8   2
      - 6*a33 *m2 *n1 *n2  *r216 - 10*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   6   4             2   5   6   4   6
      + 12*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

             2   5   4   12              2   5   4   10   2
      - 2*a33 *m2 *n1 *n2  *r216 - 12*a33 *m2 *n1 *n2  *n3 *r216

             2   5   4   8   4             2   5   4   6   6
      + 6*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

             2   5   2   12   2             2   5   2   8   6
      - 4*a33 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

          5   11   5   2            5   11   3   4            5   11      6
      - m1 *n1  *n2 *n3 *r496 + 3*m1 *n1  *n2 *n3 *r496 - 2*m1 *n1  *n2*n3 *r496

            5   9   7   2            5   9   5   4            5   9   3   6
      - 2*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496

          5   7   9   2            5   7   7   4            5   7   5   6
      - m1 *n1 *n2 *n3 *r496 + 3*m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

          4      12   6            4      12   4   2
      - m1 *m2*n1  *n2 *r496 + 4*m1 *m2*n1  *n2 *n3 *r496

            4      12   2   4            4      10   8
      - 3*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1  *n2 *r496

            4      10   6   2            4      10   4   4
      + 7*m1 *m2*n1  *n2 *n3 *r496 + 6*m1 *m2*n1  *n2 *n3 *r496

             4      10   2   6            4      8   10
      - 10*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1 *n2  *r496

            4      8   8   2             4      8   6   4
      + 2*m1 *m2*n1 *n2 *n3 *r496 + 21*m1 *m2*n1 *n2 *n3 *r496

             4      8   4   6          4      6   12
      - 20*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *r496

          4      6   10   2             4      6   8   4
      - m1 *m2*n1 *n2  *n3 *r496 + 12*m1 *m2*n1 *n2 *n3 *r496

             4      6   6   6          3   2   13   5
      - 10*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

          3   2   13   3   2             3   2   11   5   2
      - m1 *m2 *n1  *n2 *n3 *r496 + 12*m1 *m2 *n1  *n2 *n3 *r496

             3   2   11   3   4            3   2   9   9
      - 12*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2 *r496

             3   2   9   7   2            3   2   9   5   4
      + 32*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2 *n3 *r496

             3   2   9   3   6            3   2   7   11
      - 20*m1 *m2 *n1 *n2 *n3 *r496 - 8*m1 *m2 *n1 *n2  *r496

             3   2   7   9   2             3   2   7   7   4
      + 24*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   7   5   6            3   2   5   13
      - 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

            3   2   5   11   2             3   2   5   9   4
      + 5*m1 *m2 *n1 *n2  *n3 *r496 + 18*m1 *m2 *n1 *n2 *n3 *r496

             3   2   5   7   6            2   3   12   6
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1  *n2 *r496

            2   3   12   4   2            2   3   10   8
      - 3*m1 *m2 *n1  *n2 *n3 *r496 + 6*m1 *m2 *n1  *n2 *r496

             2   3   10   6   2             2   3   10   4   4
      + 12*m1 *m2 *n1  *n2 *n3 *r496 - 18*m1 *m2 *n1  *n2 *n3 *r496

             2   3   8   8   2             2   3   8   6   4
      + 44*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             2   3   8   4   6            2   3   6   12
      - 20*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2  *r496

             2   3   6   10   2            2   3   6   8   4
      + 40*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n1 *n2 *n3 *r496

             2   3   6   6   6            2   3   4   14
      - 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

             2   3   4   12   2             2   3   4   10   4
      + 11*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1 *n2  *n3 *r496

             2   3   4   8   6               4   11   7
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1*m2 *n1  *n2 *r496

               4   11   5   2               4   9   9
      - 3*m1*m2 *n1  *n2 *n3 *r496 + 8*m1*m2 *n1 *n2 *r496

               4   9   7   2                4   9   5   4
      + 4*m1*m2 *n1 *n2 *n3 *r496 - 12*m1*m2 *n1 *n2 *n3 *r496

               4   7   11                4   7   9   2
      + 6*m1*m2 *n1 *n2  *r496 + 25*m1*m2 *n1 *n2 *n3 *r496

                4   7   7   4                4   7   5   6
      - 21*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

                4   5   11   2               4   5   9   4
      + 26*m1*m2 *n1 *n2  *n3 *r496 - 6*m1*m2 *n1 *n2 *n3 *r496

                4   5   7   6             4   3   15
      - 20*m1*m2 *n1 *n2 *n3 *r496 - m1*m2 *n1 *n2  *r496

               4   3   13   2               4   3   11   4
      + 8*m1*m2 *n1 *n2  *n3 *r496 + 3*m1*m2 *n1 *n2  *n3 *r496

                4   3   9   6          5   10   8          5   10   6   2
      - 10*m1*m2 *n1 *n2 *n3 *r496 + m2 *n1  *n2 *r496 - m2 *n1  *n2 *n3 *r496

            5   8   10            5   8   6   4            5   6   12
      + 3*m2 *n1 *n2  *r496 - 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2  *r496

            5   6   10   2            5   6   8   4
      + 5*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1 *n2 *n3 *r496

            5   6   6   6          5   4   14            5   4   12   2
      - 2*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2  *r496 + 6*m2 *n1 *n2  *n3 *r496

            5   4   10   4            5   4   8   6
      - 3*m2 *n1 *n2  *n3 *r496 - 4*m2 *n1 *n2 *n3 *r496

            5   2   14   2            5   2   10   6
      + 2*m2 *n1 *n2  *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496)/(

        3   6   8   4   2        3   6   8   2   4        3   6   4   8   2
   4*a33 *m1 *n1 *n2 *n3  - 8*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3

           3   6   4   6   4        3   5      9   5
    + 8*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2

            3   5      9   3   2         3   5      9      4
    - 20*a33 *m1 *m2*n1 *n2 *n3  + 16*a33 *m1 *m2*n1 *n2*n3

           3   5      7   7        3   5      7   5   2
    + 4*a33 *m1 *m2*n1 *n2  + 4*a33 *m1 *m2*n1 *n2 *n3

            3   5      7   3   4        3   5      5   9
    - 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

            3   5      5   7   2         3   5      5   5   4
    + 20*a33 *m1 *m2*n1 *n2 *n3  - 16*a33 *m1 *m2*n1 *n2 *n3

           3   5      3   11        3   5      3   9   2
    - 4*a33 *m1 *m2*n1 *n2   - 4*a33 *m1 *m2*n1 *n2 *n3

            3   5      3   7   4         3   4   2   10   4
    + 32*a33 *m1 *m2*n1 *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2

            3   4   2   10   2   2        3   4   2   10   4
    + 28*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n3

           3   4   2   8   6         3   4   2   8   4   2
    - 4*a33 *m1 *m2 *n1 *n2  - 44*a33 *m1 *m2 *n1 *n2 *n3

            3   4   2   8   2   4         3   4   2   6   8
    + 64*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

            3   4   2   6   6   2         3   4   2   6   4   4
    - 40*a33 *m1 *m2 *n1 *n2 *n3  - 40*a33 *m1 *m2 *n1 *n2 *n3

           3   4   2   4   10         3   4   2   4   8   2
    + 4*a33 *m1 *m2 *n1 *n2   + 44*a33 *m1 *m2 *n1 *n2 *n3

            3   4   2   4   6   4        3   4   2   2   12
    - 64*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1 *n2

            3   4   2   2   10   2         3   4   2   2   8   4
    + 12*a33 *m1 *m2 *n1 *n2  *n3  + 48*a33 *m1 *m2 *n1 *n2 *n3

            3   3   3   11   3         3   3   3   11      2
    + 12*a33 *m1 *m2 *n1  *n2  - 12*a33 *m1 *m2 *n1  *n2*n3

            3   3   3   9   5         3   3   3   9   3   2
    - 12*a33 *m1 *m2 *n1 *n2  + 76*a33 *m1 *m2 *n1 *n2 *n3

            3   3   3   9      4         3   3   3   7   7
    - 32*a33 *m1 *m2 *n1 *n2*n3  - 32*a33 *m1 *m2 *n1 *n2

            3   3   3   7   3   4         3   3   3   5   9
    + 96*a33 *m1 *m2 *n1 *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2

            3   3   3   5   7   2         3   3   3   3   11
    - 96*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

            3   3   3   3   9   2         3   3   3   3   7   4
    + 12*a33 *m1 *m2 *n1 *n2 *n3  - 96*a33 *m1 *m2 *n1 *n2 *n3

           3   3   3      13         3   3   3      11   2
    - 4*a33 *m1 *m2 *n1*n2   + 20*a33 *m1 *m2 *n1*n2  *n3

            3   3   3      9   4        3   2   4   12   2
    + 32*a33 *m1 *m2 *n1*n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

            3   2   4   10   4         3   2   4   10   2   2
    + 20*a33 *m1 *m2 *n1  *n2  - 36*a33 *m1 *m2 *n1  *n2 *n3

            3   2   4   8   6         3   2   4   8   4   2
    + 16*a33 *m1 *m2 *n1 *n2  + 60*a33 *m1 *m2 *n1 *n2 *n3

            3   2   4   8   2   4         3   2   4   6   8
    - 48*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2

            3   2   4   6   6   2         3   2   4   6   4   4
    + 64*a33 *m1 *m2 *n1 *n2 *n3  + 64*a33 *m1 *m2 *n1 *n2 *n3

            3   2   4   4   10         3   2   4   4   8   2
    - 12*a33 *m1 *m2 *n1 *n2   - 68*a33 *m1 *m2 *n1 *n2 *n3

            3   2   4   4   6   4         3   2   4   2   12
    + 40*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

            3   2   4   2   10   2         3   2   4   2   8   4
    - 28*a33 *m1 *m2 *n1 *n2  *n3  - 64*a33 *m1 *m2 *n1 *n2 *n3

           3   2   4   12   2        3   2   4   10   4        3      5   11   3
    + 8*a33 *m1 *m2 *n2  *n3  + 8*a33 *m1 *m2 *n2  *n3  - 8*a33 *m1*m2 *n1  *n2

           3      5   9   5         3      5   9   3   2
    + 4*a33 *m1*m2 *n1 *n2  - 36*a33 *m1*m2 *n1 *n2 *n3

            3      5   7   7        3      5   7   5   2
    + 20*a33 *m1*m2 *n1 *n2  + 4*a33 *m1*m2 *n1 *n2 *n3

            3      5   7   3   4        3      5   5   9
    - 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2

            3      5   5   7   2         3      5   5   5   4
    + 52*a33 *m1*m2 *n1 *n2 *n3  + 16*a33 *m1*m2 *n1 *n2 *n3

            3      5   3   11        3      5   3   9   2
    - 12*a33 *m1*m2 *n1 *n2   - 4*a33 *m1*m2 *n1 *n2 *n3

            3      5   3   7   4         3      5      11   2
    + 32*a33 *m1*m2 *n1 *n2 *n3  - 16*a33 *m1*m2 *n1*n2  *n3

            3      5      9   4        3   6   10   4        3   6   8   6
    - 16*a33 *m1*m2 *n1*n2 *n3  - 4*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1 *n2

            3   6   8   4   2        3   6   6   8        3   6   6   6   2
    - 12*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2  - 8*a33 *m2 *n1 *n2 *n3

           3   6   6   4   4        3   6   4   10         3   6   4   8   2
    - 8*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2   + 12*a33 *m2 *n1 *n2 *n3

           3   6   2   10   2        3   6   2   8   4
    + 8*a33 *m2 *n1 *n2  *n3  + 8*a33 *m2 *n1 *n2 *n3 )


             2   13   12   7   2              2   13   12   5   4
r20=( - 8*a33 *m1  *n1  *n2 *n3 *r214 + 32*a33 *m1  *n1  *n2 *n3 *r214

              2   13   12   3   6             2   13   10   9   2
      - 32*a33 *m1  *n1  *n2 *n3 *r214 - 4*a33 *m1  *n1  *n2 *n3 *r214

              2   13   10   7   4              2   13   10   5   6
      + 16*a33 *m1  *n1  *n2 *n3 *r214 - 16*a33 *m1  *n1  *n2 *n3 *r214

             2   13   8   11   2              2   13   8   9   4
      + 4*a33 *m1  *n1 *n2  *n3 *r214 - 16*a33 *m1  *n1 *n2 *n3 *r214

              2   13   8   7   6             2   12      13   8
      + 16*a33 *m1  *n1 *n2 *n3 *r214 - 8*a33 *m1  *m2*n1  *n2 *r214

              2   12      13   6   2               2   12      13   4   4
      + 72*a33 *m1  *m2*n1  *n2 *n3 *r214 - 160*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   12      13   2   6              2   12      11   10
      + 96*a33 *m1  *m2*n1  *n2 *n3 *r214 - 12*a33 *m1  *m2*n1  *n2  *r214

              2   12      11   8   2               2   12      11   6   4
      + 12*a33 *m1  *m2*n1  *n2 *n3 *r214 + 144*a33 *m1  *m2*n1  *n2 *n3 *r214

               2   12      11   4   6              2   12      9   10   2
      - 240*a33 *m1  *m2*n1  *n2 *n3 *r214 - 52*a33 *m1  *m2*n1 *n2  *n3 *r214

               2   12      9   8   4               2   12      9   6   6
      + 208*a33 *m1  *m2*n1 *n2 *n3 *r214 - 208*a33 *m1  *m2*n1 *n2 *n3 *r214

             2   12      7   14             2   12      7   12   2
      + 4*a33 *m1  *m2*n1 *n2  *r214 + 8*a33 *m1  *m2*n1 *n2  *n3 *r214

              2   12      7   10   4               2   12      7   8   6
      - 96*a33 *m1  *m2*n1 *n2  *n3 *r214 + 128*a33 *m1  *m2*n1 *n2 *n3 *r214

             2   12   14   6   2             2   12   14   4   4
      - 2*a33 *m1  *n1  *n2 *n3 *r216 + 8*a33 *m1  *n1  *n2 *n3 *r216

             2   12   14   2   6             2   12   12   8   2
      - 8*a33 *m1  *n1  *n2 *n3 *r216 - 4*a33 *m1  *n1  *n2 *n3 *r216

              2   12   12   6   4              2   12   12   4   6
      + 16*a33 *m1  *n1  *n2 *n3 *r216 - 16*a33 *m1  *n1  *n2 *n3 *r216

             2   12   10   10   2             2   12   10   8   4
      - 2*a33 *m1  *n1  *n2  *n3 *r216 + 8*a33 *m1  *n1  *n2 *n3 *r216

             2   12   10   6   6              2   11   2   14   7
      - 8*a33 *m1  *n1  *n2 *n3 *r216 + 40*a33 *m1  *m2 *n1  *n2 *r214

               2   11   2   14   5   2
      - 208*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   11   2   14   3   4              2   11   2   14      6
      + 288*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 96*a33 *m1  *m2 *n1  *n2*n3 *r214

              2   11   2   12   9               2   11   2   12   7   2
      + 12*a33 *m1  *m2 *n1  *n2 *r214 + 268*a33 *m1  *m2 *n1  *n2 *n3 *r214

                2   11   2   12   5   4
      - 1024*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   11   2   12   3   6              2   11   2   10   11
      + 800*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 76*a33 *m1  *m2 *n1  *n2  *r214

               2   11   2   10   9   2
      + 380*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   11   2   10   7   4
      - 160*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   11   2   10   5   6              2   11   2   8   13
      - 640*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 28*a33 *m1  *m2 *n1 *n2  *r214

               2   11   2   8   11   2               2   11   2   8   9   4
      - 132*a33 *m1  *m2 *n1 *n2  *n3 *r214 + 928*a33 *m1  *m2 *n1 *n2 *n3 *r214

                2   11   2   8   7   6              2   11   2   6   15
      - 1088*a33 *m1  *m2 *n1 *n2 *n3 *r214 + 20*a33 *m1  *m2 *n1 *n2  *r214

              2   11   2   6   13   2               2   11   2   6   11   4
      - 36*a33 *m1  *m2 *n1 *n2  *n3 *r214 - 224*a33 *m1  *m2 *n1 *n2  *n3 *r214

               2   11   2   6   9   6             2   11      15   7
      + 448*a33 *m1  *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1  *m2*n1  *n2 *r216

              2   11      15   5   2              2   11      15   3   4
      + 16*a33 *m1  *m2*n1  *n2 *n3 *r216 - 32*a33 *m1  *m2*n1  *n2 *n3 *r216

              2   11      15      6             2   11      13   9
      + 16*a33 *m1  *m2*n1  *n2*n3 *r216 - 6*a33 *m1  *m2*n1  *n2 *r216

              2   11      13   7   2              2   11      13   3   6
      + 24*a33 *m1  *m2*n1  *n2 *n3 *r216 - 48*a33 *m1  *m2*n1  *n2 *n3 *r216

             2   11      11   11              2   11      11   7   4
      - 6*a33 *m1  *m2*n1  *n2  *r216 + 96*a33 *m1  *m2*n1  *n2 *n3 *r216

               2   11      11   5   6             2   11      9   13
      - 144*a33 *m1  *m2*n1  *n2 *n3 *r216 - 2*a33 *m1  *m2*n1 *n2  *r216

             2   11      9   11   2              2   11      9   9   4
      - 8*a33 *m1  *m2*n1 *n2  *n3 *r216 + 64*a33 *m1  *m2*n1 *n2 *n3 *r216

              2   11      9   7   6              2   10   3   15   6
      - 80*a33 *m1  *m2*n1 *n2 *n3 *r216 - 80*a33 *m1  *m2 *n1  *n2 *r214

               2   10   3   15   4   2
      + 272*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   10   3   15   2   4              2   10   3   15   6
      - 224*a33 *m1  *m2 *n1  *n2 *n3 *r214 + 32*a33 *m1  *m2 *n1  *n3 *r214

               2   10   3   13   8                2   10   3   13   6   2
      + 116*a33 *m1  *m2 *n1  *n2 *r214 - 1092*a33 *m1  *m2 *n1  *n2 *n3 *r214

                2   10   3   13   4   4
      + 2016*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   10   3   13   2   6               2   10   3   11   10
      - 800*a33 *m1  *m2 *n1  *n2 *n3 *r214 + 252*a33 *m1  *m2 *n1  *n2  *r214

               2   10   3   11   8   2
      - 228*a33 *m1  *m2 *n1  *n2 *n3 *r214

                2   10   3   11   6   4
      - 2336*a33 *m1  *m2 *n1  *n2 *n3 *r214

                2   10   3   11   4   6               2   10   3   9   12
      + 2880*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 124*a33 *m1  *m2 *n1 *n2  *r214

                2   10   3   9   10   2
      + 1372*a33 *m1  *m2 *n1 *n2  *n3 *r214

                2   10   3   9   8   4               2   10   3   9   6   6
      - 2336*a33 *m1  *m2 *n1 *n2 *n3 *r214 - 320*a33 *m1  *m2 *n1 *n2 *n3 *r214

               2   10   3   7   14              2   10   3   7   12   2
      - 140*a33 *m1  *m2 *n1 *n2  *r214 + 76*a33 *m1  *m2 *n1 *n2  *n3 *r214

                2   10   3   7   10   4
      + 2016*a33 *m1  *m2 *n1 *n2  *n3 *r214

                2   10   3   7   8   6              2   10   3   5   16
      - 3136*a33 *m1  *m2 *n1 *n2 *n3 *r214 + 40*a33 *m1  *m2 *n1 *n2  *r214

               2   10   3   5   14   2
      - 160*a33 *m1  *m2 *n1 *n2  *n3 *r214

               2   10   3   5   12   4
      - 224*a33 *m1  *m2 *n1 *n2  *n3 *r214

               2   10   3   5   10   6             2   10   2   16   6
      + 896*a33 *m1  *m2 *n1 *n2  *n3 *r214 + 8*a33 *m1  *m2 *n1  *n2 *r216

              2   10   2   16   4   2              2   10   2   16   2   4
      - 36*a33 *m1  *m2 *n1  *n2 *n3 *r216 + 40*a33 *m1  *m2 *n1  *n2 *n3 *r216

             2   10   2   16   6              2   10   2   14   8
      - 8*a33 *m1  *m2 *n1  *n3 *r216 + 10*a33 *m1  *m2 *n1  *n2 *r216

              2   10   2   14   6   2               2   10   2   14   4   4
      + 32*a33 *m1  *m2 *n1  *n2 *n3 *r216 - 192*a33 *m1  *m2 *n1  *n2 *n3 *r216

               2   10   2   14   2   6              2   10   2   12   10
      + 144*a33 *m1  *m2 *n1  *n2 *n3 *r216 - 18*a33 *m1  *m2 *n1  *n2  *r216

               2   10   2   12   8   2
      + 180*a33 *m1  *m2 *n1  *n2 *n3 *r216

               2   10   2   12   6   4              2   10   2   12   4   6
      - 288*a33 *m1  *m2 *n1  *n2 *n3 *r216 - 48*a33 *m1  *m2 *n1  *n2 *n3 *r216

              2   10   2   10   12               2   10   2   10   10   2
      - 34*a33 *m1  *m2 *n1  *n2  *r216 + 120*a33 *m1  *m2 *n1  *n2  *n3 *r216

               2   10   2   10   8   4
      + 160*a33 *m1  *m2 *n1  *n2 *n3 *r216

               2   10   2   10   6   6              2   10   2   8   14
      - 560*a33 *m1  *m2 *n1  *n2 *n3 *r216 - 14*a33 *m1  *m2 *n1 *n2  *r216

             2   10   2   8   12   2               2   10   2   8   10   4
      + 8*a33 *m1  *m2 *n1 *n2  *n3 *r216 + 216*a33 *m1  *m2 *n1 *n2  *n3 *r216

               2   10   2   8   8   6              2   9   4   16   5
      - 360*a33 *m1  *m2 *n1 *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1  *n2 *r214

               2   9   4   16   3   2              2   9   4   16      4
      - 168*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   9   4   14   7                2   9   4   14   5   2
      - 340*a33 *m1 *m2 *n1  *n2 *r214 + 1588*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   9   4   14   3   4               2   9   4   14      6
      - 1584*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   9   4   12   9                2   9   4   12   7   2
      - 140*a33 *m1 *m2 *n1  *n2 *r214 - 1868*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   9   4   12   5   4
      + 5904*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   9   4   12   3   6               2   9   4   10   11
      - 2960*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 700*a33 *m1 *m2 *n1  *n2  *r214

                2   9   4   10   9   2
      - 2772*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   9   4   10   7   4
      - 1184*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   9   4   10   5   6               2   9   4   8   13
      + 5760*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 100*a33 *m1 *m2 *n1 *n2  *r214

                2   9   4   8   11   2                2   9   4   8   9   4
      + 1932*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 6496*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   9   4   8   7   6               2   9   4   6   15
      + 2240*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 280*a33 *m1 *m2 *n1 *n2  *r214

               2   9   4   6   13   2                2   9   4   6   11   4
      + 820*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 2240*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   9   4   6   9   6              2   9   4   4   17
      - 5600*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1 *n2  *r214

               2   9   4   4   15   2                2   9   4   4   11   6
      - 260*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1120*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   9   3   17   5              2   9   3   17   3   2
      - 12*a33 *m1 *m2 *n1  *n2 *r216 + 32*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   9   3   17      4              2   9   3   15   7
      - 16*a33 *m1 *m2 *n1  *n2*n3 *r216 + 20*a33 *m1 *m2 *n1  *n2 *r216

               2   9   3   15   5   2               2   9   3   15   3   4
      - 200*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 320*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   9   3   15      6              2   9   3   13   9
      - 80*a33 *m1 *m2 *n1  *n2*n3 *r216 + 90*a33 *m1 *m2 *n1  *n2 *r216

               2   9   3   13   7   2               2   9   3   13   5   4
      - 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 320*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   9   3   13   3   6              2   9   3   11   11
      + 560*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 30*a33 *m1 *m2 *n1  *n2  *r216

               2   9   3   11   9   2                2   9   3   11   7   4
      + 360*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 1280*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   9   3   11   5   6              2   9   3   9   13
      + 400*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 70*a33 *m1 *m2 *n1 *n2  *r216

               2   9   3   9   11   2               2   9   3   9   9   4
      + 480*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 240*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   9   3   9   7   6              2   9   3   7   15
      - 1200*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1 *n2  *r216

               2   9   3   7   13   2               2   9   3   7   11   4
      + 112*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 384*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   9   3   7   9   6              2   8   5   17   4
      - 960*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1  *n2 *r214

              2   8   5   17   2   2               2   8   5   15   6
      + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 380*a33 *m1 *m2 *n1  *n2 *r214

               2   8   5   15   4   2               2   8   5   15   2   4
      - 988*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 400*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   5   15   6               2   8   5   13   8
      + 16*a33 *m1 *m2 *n1  *n3 *r214 - 420*a33 *m1 *m2 *n1  *n2 *r214

                2   8   5   13   6   2
      + 3748*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   8   5   13   4   4               2   8   5   13   2   6
      - 4880*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 784*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   5   11   10              2   8   5   11   8   2
      - 980*a33 *m1 *m2 *n1  *n2  *r214 + 28*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   8   5   11   6   4
      + 9056*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   8   5   11   4   6               2   8   5   9   12
      - 6400*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 700*a33 *m1 *m2 *n1 *n2  *r214

                2   8   5   9   10   2                2   8   5   9   8   4
      - 5908*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 4704*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   5   9   6   6               2   8   5   7   14
      + 6720*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 540*a33 *m1 *m2 *n1 *n2  *r214

               2   8   5   7   12   2                2   8   5   7   10   4
      + 532*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 8960*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   5   7   8   6               2   8   5   5   16
      + 6496*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 280*a33 *m1 *m2 *n1 *n2  *r214

                2   8   5   5   14   2               2   8   5   5   12   4
      + 1476*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 896*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   5   5   10   6              2   8   5   3   18
      - 6496*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 20*a33 *m1 *m2 *n1 *n2  *r214

               2   8   5   3   16   2               2   8   5   3   14   4
      - 216*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 224*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   5   3   12   6             2   8   4   18   4
      + 896*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n1  *n2 *r216

              2   8   4   18   2   2              2   8   4   16   6
      - 10*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 60*a33 *m1 *m2 *n1  *n2 *r216

               2   8   4   16   4   2               2   8   4   16   2   4
      + 228*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 144*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   4   14   8               2   8   4   14   6   2
      - 60*a33 *m1 *m2 *n1  *n2 *r216 - 330*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   8   4   14   4   4               2   8   4   14   2   6
      + 1080*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 360*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   4   12   10                2   8   4   12   8   2
      + 190*a33 *m1 *m2 *n1  *n2  *r216 - 1160*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   4   12   6   4                2   8   4   12   4   6
      + 480*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 1200*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   4   10   12              2   8   4   10   10   2
      + 210*a33 *m1 *m2 *n1  *n2  *r216 - 60*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   8   4   10   8   4
      - 2520*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   8   4   10   6   6              2   8   4   8   14
      + 1800*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1 *n2  *r216

               2   8   4   8   12   2                2   8   4   8   10   4
      + 840*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1440*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   8   4   8   8   6              2   8   4   6   16
      - 1440*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 70*a33 *m1 *m2 *n1 *n2  *r216

               2   8   4   6   14   2               2   8   4   6   12   4
      + 308*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 336*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   8   4   6   10   6             2   7   6   18   3
      - 1680*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1  *n2 *r214

               2   7   6   16   5               2   7   6   16   3   2
      - 188*a33 *m1 *m2 *n1  *n2 *r214 + 196*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   6   16      4               2   7   6   14   7
      + 32*a33 *m1 *m2 *n1  *n2*n3 *r214 + 700*a33 *m1 *m2 *n1  *n2 *r214

                2   7   6   14   5   2
      - 2476*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   6   14   3   4               2   7   6   14      6
      + 1056*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 128*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   6   12   9                2   7   6   12   7   2
      + 196*a33 *m1 *m2 *n1  *n2 *r214 + 4340*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   6   12   5   4
      - 8608*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   6   12   3   6                2   7   6   10   11
      + 1472*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1540*a33 *m1 *m2 *n1  *n2  *r214

                2   7   6   10   9   2
      + 4452*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   6   10   7   4
      + 6944*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   6   10   5   6              2   7   6   8   13
      - 8960*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 28*a33 *m1 *m2 *n1 *n2  *r214

                2   7   6   8   11   2
      - 5628*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   7   6   8   9   4                2   7   6   8   7   6
      + 10976*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4032*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   6   6   15                2   7   6   6   13   2
      + 668*a33 *m1 *m2 *n1 *n2  *r214 - 1708*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   6   6   11   4                2   7   6   6   9   6
      - 6496*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 8960*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   6   4   17                2   7   6   4   15   2
      - 140*a33 *m1 *m2 *n1 *n2  *r214 + 1268*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   6   4   13   4                2   7   6   4   11   6
      - 672*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 4928*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   7   6   2   19              2   7   6   2   17   2
      + 4*a33 *m1 *m2 *n1 *n2  *r214 - 92*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   6   2   15   4               2   7   6   2   13   6
      + 224*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 448*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   7   5   19   3              2   7   5   17   5
      - 2*a33 *m1 *m2 *n1  *n2 *r216 + 50*a33 *m1 *m2 *n1  *n2 *r216

              2   7   5   17   3   2              2   7   5   15   7
      - 80*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 90*a33 *m1 *m2 *n1  *n2 *r216

               2   7   5   15   5   2               2   7   5   15   3   4
      + 672*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 576*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   5   13   9               2   7   5   13   7   2
      - 310*a33 *m1 *m2 *n1  *n2 *r216 + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   5   13   5   4               2   7   5   13   3   6
      + 1920*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 960*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   5   11   11                2   7   5   11   9   2
      + 70*a33 *m1 *m2 *n1  *n2  *r216 - 2080*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   5   11   7   4
      + 2880*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   5   11   5   6               2   7   5   9   13
      + 1440*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 378*a33 *m1 *m2 *n1 *n2  *r216

                2   7   5   9   11   2                2   7   5   9   9   4
      - 1344*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2304*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   7   5   9   7   6              2   7   5   7   15
      + 3744*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 70*a33 *m1 *m2 *n1 *n2  *r216

               2   7   5   7   13   2                2   7   5   7   11   4
      + 672*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2688*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   5   7   9   6              2   7   5   5   17
      - 672*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 70*a33 *m1 *m2 *n1 *n2  *r216

               2   7   5   5   15   2                2   7   5   5   11   6
      + 448*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2016*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   7   17   4              2   6   7   17   2   2
      + 28*a33 *m1 *m2 *n1  *n2 *r214 + 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   7   15   6               2   6   7   15   4   2
      - 364*a33 *m1 *m2 *n1  *n2 *r214 + 372*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   7   15   2   4               2   6   7   13   8
      + 224*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 588*a33 *m1 *m2 *n1  *n2 *r214

                2   6   7   13   6   2
      - 3500*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   7   13   4   4               2   6   7   13   2   6
      + 1568*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 448*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   7   11   10                2   6   7   11   8   2
      + 980*a33 *m1 *m2 *n1  *n2  *r214 + 1988*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   7   11   6   4
      - 9632*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   7   11   4   6               2   6   7   9   12
      + 1792*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 980*a33 *m1 *m2 *n1 *n2  *r214

                2   6   7   9   10   2               2   6   7   9   8   4
      + 6692*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 672*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   7   9   6   6               2   6   7   7   14
      - 8512*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 588*a33 *m1 *m2 *n1 *n2  *r214

                2   6   7   7   12   2
      - 1932*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   6   7   7   10   4               2   6   7   5   16
      + 10976*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 364*a33 *m1 *m2 *n1 *n2  *r214

                2   6   7   5   14   2
      - 2220*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   7   5   12   4
      - 1760*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   7   5   10   6              2   6   7   3   18
      + 7360*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 28*a33 *m1 *m2 *n1 *n2  *r214

               2   6   7   3   16   2               2   6   7   3   14   4
      + 548*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 992*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   7   3   12   6              2   6   7      18   2
      - 2368*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   6   7      16   4               2   6   7      14   6
      + 96*a33 *m1 *m2 *n1*n2  *n3 *r214 + 128*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   6   6   18   4               2   6   6   16   6
      - 14*a33 *m1 *m2 *n1  *n2 *r216 + 126*a33 *m1 *m2 *n1  *n2 *r216

               2   6   6   16   4   2              2   6   6   14   8
      - 280*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 42*a33 *m1 *m2 *n1  *n2 *r216

                2   6   6   14   6   2
      + 1008*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   6   14   4   4               2   6   6   12   10
      - 1344*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 490*a33 *m1 *m2 *n1  *n2  *r216

                2   6   6   12   8   2
      + 1680*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   6   12   6   4
      + 1680*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   6   12   4   6               2   6   6   10   12
      - 1680*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 294*a33 *m1 *m2 *n1  *n2  *r216

                2   6   6   10   10   2
      - 1568*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   6   10   8   4               2   6   6   10   6   6
      + 5376*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 672*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   6   8   14                2   6   6   8   12   2
      + 294*a33 *m1 *m2 *n1 *n2  *r216 - 2352*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   6   8   8   6               2   6   6   6   16
      + 4704*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 154*a33 *m1 *m2 *n1 *n2  *r216

                2   6   6   6   12   4               2   6   6   6   10   6
      - 2688*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 672*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   6   4   18               2   6   6   4   16   2
      - 42*a33 *m1 *m2 *n1 *n2  *r216 + 392*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   6   4   14   4                2   6   6   4   12   6
      - 336*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1680*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   5   8   18   3              2   5   8   16   5
      + 4*a33 *m1 *m2 *n1  *n2 *r214 + 28*a33 *m1 *m2 *n1  *n2 *r214

               2   5   8   16   3   2               2   5   8   14   7
      + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 396*a33 *m1 *m2 *n1  *n2 *r214

               2   5   8   14   5   2               2   5   8   14   3   4
      + 356*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 672*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   8   12   9                2   5   8   12   7   2
      + 140*a33 *m1 *m2 *n1  *n2 *r214 - 3164*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   8   12   5   4               2   5   8   12   3   6
      + 1568*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 896*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   8   10   11               2   5   8   10   9   2
      + 980*a33 *m1 *m2 *n1  *n2  *r214 - 868*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   8   10   7   4
      - 7168*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   8   10   5   6              2   5   8   8   13
      + 1568*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 84*a33 *m1 *m2 *n1 *n2  *r214

                2   5   8   8   11   2                2   5   8   8   9   4
      + 4508*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 3584*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   8   8   7   6               2   5   8   6   15
      - 5600*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 428*a33 *m1 *m2 *n1 *n2  *r214

               2   5   8   6   13   2                2   5   8   6   11   4
      + 772*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 5664*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   8   6   9   6              2   5   8   4   17
      - 1920*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 76*a33 *m1 *m2 *n1 *n2  *r214

                2   5   8   4   15   2               2   5   8   4   13   4
      - 1108*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 704*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   8   4   11   6              2   5   8   2   17   2
      + 3680*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 96*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   8   2   15   4               2   5   8   2   13   6
      - 464*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 656*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   8   17   4              2   5   8   15   6
      + 16*a33 *m1 *m2 *n2  *n3 *r214 + 16*a33 *m1 *m2 *n2  *n3 *r214

              2   5   7   17   5               2   5   7   15   7
      - 42*a33 *m1 *m2 *n1  *n2 *r216 + 154*a33 *m1 *m2 *n1  *n2 *r216

               2   5   7   15   5   2               2   5   7   13   9
      - 560*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 294*a33 *m1 *m2 *n1  *n2 *r216

               2   5   7   13   7   2                2   5   7   13   5   4
      + 672*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 2016*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   7   11   11                2   5   7   11   9   2
      - 294*a33 *m1 *m2 *n1  *n2  *r216 + 2688*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   7   11   5   6               2   5   7   9   13
      - 2016*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 490*a33 *m1 *m2 *n1 *n2  *r216

               2   5   7   9   11   2                2   5   7   9   9   4
      + 224*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 5376*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   7   9   7   6              2   5   7   7   15
      - 672*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 42*a33 *m1 *m2 *n1 *n2  *r216

                2   5   7   7   13   2
      - 1920*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   7   7   11   4                2   5   7   7   9   6
      + 2304*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 3744*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   7   5   17               2   5   7   5   15   2
      + 126*a33 *m1 *m2 *n1 *n2  *r216 - 480*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   7   5   13   4
      - 1440*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   7   5   11   6              2   5   7   3   19
      + 1440*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 14*a33 *m1 *m2 *n1 *n2  *r216

               2   5   7   3   17   2               2   5   7   3   15   4
      + 208*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 384*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   7   3   13   6              2   4   9   17   4
      - 960*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m1 *m2 *n1  *n2 *r214

               2   4   9   15   4   2               2   4   9   13   8
      + 300*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 300*a33 *m1 *m2 *n1  *n2 *r214

               2   4   9   13   6   2                2   4   9   13   4   4
      + 260*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 1120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   9   11   10                2   4   9   11   8   2
      - 140*a33 *m1 *m2 *n1  *n2  *r214 - 1988*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   9   11   6   4
      + 1344*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   9   11   4   6               2   4   9   9   12
      + 1120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 420*a33 *m1 *m2 *n1 *n2  *r214

                2   4   9   9   10   2                2   4   9   9   8   4
      - 1652*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 3584*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   9   9   6   6               2   4   9   7   14
      + 1120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 180*a33 *m1 *m2 *n1 *n2  *r214

                2   4   9   7   12   2
      + 1332*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   9   7   10   4                2   4   9   7   8   6
      - 3296*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 2560*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   9   5   16               2   4   9   5   14   2
      - 100*a33 *m1 *m2 *n1 *n2  *r214 + 828*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   9   5   12   4
      + 1216*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   9   5   10   6               2   4   9   3   16   2
      - 1440*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 208*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   9   3   14   4                2   4   9   3   12   6
      + 624*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1040*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   9      16   4              2   4   9      14   6
      - 80*a33 *m1 *m2 *n1*n2  *n3 *r214 - 80*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   4   8   16   6              2   4   8   14   8
      - 70*a33 *m1 *m2 *n1  *n2 *r216 + 70*a33 *m1 *m2 *n1  *n2 *r216

               2   4   8   14   6   2               2   4   8   12   10
      - 700*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 378*a33 *m1 *m2 *n1  *n2  *r216

               2   4   8   12   8   2                2   4   8   12   6   4
      - 168*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 2016*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   8   10   12                2   4   8   10   10   2
      + 70*a33 *m1 *m2 *n1  *n2  *r216 + 2100*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   4   8   10   8   4
      - 1680*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   8   10   6   6               2   4   8   8   14
      - 1680*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 310*a33 *m1 *m2 *n1 *n2  *r216

                2   4   8   8   12   2
      + 1360*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   8   8   10   4                2   4   8   8   8   6
      + 2880*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1440*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   8   6   16               2   4   8   6   14   2
      - 90*a33 *m1 *m2 *n1 *n2  *r216 - 690*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   8   6   12   4
      + 2520*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   8   6   10   6              2   4   8   4   18
      + 1800*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 50*a33 *m1 *m2 *n1 *n2  *r216

               2   4   8   4   16   2               2   4   8   4   14   4
      - 420*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   8   4   12   6             2   4   8   2   20
      + 1200*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

              2   4   8   2   18   2               2   4   8   2   16   4
      + 62*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 216*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   8   2   14   6              2   3   10   16   5
      - 360*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 40*a33 *m1 *m2  *n1  *n2 *r214

               2   3   10   14   5   2               2   3   10   12   9
      + 400*a33 *m1 *m2  *n1  *n2 *n3 *r214 - 180*a33 *m1 *m2  *n1  *n2 *r214

               2   3   10   12   7   2
      + 300*a33 *m1 *m2  *n1  *n2 *n3 *r214

                2   3   10   12   5   4               2   3   10   10   11
      + 1120*a33 *m1 *m2  *n1  *n2 *n3 *r214 - 140*a33 *m1 *m2  *n1  *n2  *r214

               2   3   10   10   9   2
      - 868*a33 *m1 *m2  *n1  *n2 *n3 *r214

                2   3   10   10   7   4
      + 1120*a33 *m1 *m2  *n1  *n2 *n3 *r214

               2   3   10   10   5   6              2   3   10   8   13
      + 896*a33 *m1 *m2  *n1  *n2 *n3 *r214 + 60*a33 *m1 *m2  *n1 *n2  *r214

               2   3   10   8   11   2
      - 932*a33 *m1 *m2  *n1 *n2  *n3 *r214

                2   3   10   8   9   4               2   3   10   8   7   6
      - 1120*a33 *m1 *m2  *n1 *n2 *n3 *r214 + 704*a33 *m1 *m2  *n1 *n2 *n3 *r214

              2   3   10   6   15              2   3   10   6   13   2
      + 60*a33 *m1 *m2  *n1 *n2  *r214 + 28*a33 *m1 *m2  *n1 *n2  *n3 *r214

                2   3   10   6   11   4
      - 1344*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   3   10   6   9   6               2   3   10   4   15   2
      - 800*a33 *m1 *m2  *n1 *n2 *n3 *r214 + 192*a33 *m1 *m2  *n1 *n2  *n3 *r214

              2   3   10   4   13   4               2   3   10   4   11   6
      - 96*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 480*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   3   10   2   15   4
      + 128*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   3   10   2   13   6              2   3   9   15   7
      + 128*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 70*a33 *m1 *m2 *n1  *n2 *r216

              2   3   9   13   9               2   3   9   13   7   2
      - 42*a33 *m1 *m2 *n1  *n2 *r216 - 560*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   9   11   11               2   3   9   11   9   2
      + 210*a33 *m1 *m2 *n1  *n2  *r216 - 672*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   3   9   11   7   4               2   3   9   9   13
      - 1344*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 190*a33 *m1 *m2 *n1 *n2  *r216

               2   3   9   9   11   2                2   3   9   9   9   4
      + 720*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1920*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   9   9   7   6              2   3   9   7   15
      - 960*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 60*a33 *m1 *m2 *n1 *n2  *r216

                2   3   9   7   13   2               2   3   9   7   11   4
      + 1040*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 480*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   9   7   9   6              2   3   9   5   17
      - 1200*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 60*a33 *m1 *m2 *n1 *n2  *r216

              2   3   9   5   15   2                2   3   9   5   13   4
      + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 1280*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   9   5   11   6             2   3   9   3   19
      + 400*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *r216

               2   3   9   3   17   2               2   3   9   3   15   4
      - 160*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 160*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   9   3   13   6             2   3   9      19   2
      + 560*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   3   9      17   4              2   3   9      15   6
      - 64*a33 *m1 *m2 *n1*n2  *n3 *r216 - 80*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   11   15   6              2   2   11   13   8
      + 40*a33 *m1 *m2  *n1  *n2 *r214 + 28*a33 *m1 *m2  *n1  *n2 *r214

               2   2   11   13   6   2              2   2   11   11   10
      + 300*a33 *m1 *m2  *n1  *n2 *n3 *r214 - 68*a33 *m1 *m2  *n1  *n2  *r214

               2   2   11   11   8   2
      + 316*a33 *m1 *m2  *n1  *n2 *n3 *r214

               2   2   11   11   6   4              2   2   11   9   12
      + 672*a33 *m1 *m2  *n1  *n2 *n3 *r214 - 60*a33 *m1 *m2  *n1 *n2  *r214

               2   2   11   9   10   2               2   2   11   9   8   4
      - 196*a33 *m1 *m2  *n1 *n2  *n3 *r214 + 736*a33 *m1 *m2  *n1 *n2 *n3 *r214

               2   2   11   9   6   6             2   2   11   7   14
      + 448*a33 *m1 *m2  *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2  *n1 *n2  *r214

               2   2   11   7   12   2
      - 260*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   2   11   7   10   4               2   2   11   7   8   6
      - 128*a33 *m1 *m2  *n1 *n2  *n3 *r214 + 352*a33 *m1 *m2  *n1 *n2 *n3 *r214

              2   2   11   5   14   2               2   2   11   5   12   4
      - 48*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 256*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   2   11   5   10   6              2   2   11   3   14   4
      - 160*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 64*a33 *m1 *m2  *n1 *n2  *n3 *r214

              2   2   11   3   12   6              2   2   10   14   8
      - 64*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 42*a33 *m1 *m2  *n1  *n2 *r216

              2   2   10   12   10               2   2   10   12   8   2
      - 70*a33 *m1 *m2  *n1  *n2  *r216 - 280*a33 *m1 *m2  *n1  *n2 *n3 *r216

              2   2   10   10   12               2   2   10   10   10   2
      + 30*a33 *m1 *m2  *n1  *n2  *r216 - 528*a33 *m1 *m2  *n1  *n2  *n3 *r216

               2   2   10   10   8   4              2   2   10   8   14
      - 576*a33 *m1 *m2  *n1  *n2 *n3 *r216 + 90*a33 *m1 *m2  *n1 *n2  *r216

              2   2   10   8   12   2
      - 60*a33 *m1 *m2  *n1 *n2  *n3 *r216

                2   2   10   8   10   4
      - 1080*a33 *m1 *m2  *n1 *n2  *n3 *r216

               2   2   10   8   8   6              2   2   10   6   16
      - 360*a33 *m1 *m2  *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2  *n1 *n2  *r216

               2   2   10   6   14   2
      + 320*a33 *m1 *m2  *n1 *n2  *n3 *r216

               2   2   10   6   12   4
      - 320*a33 *m1 *m2  *n1 *n2  *n3 *r216

               2   2   10   6   10   6              2   2   10   4   18
      - 560*a33 *m1 *m2  *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2  *n1 *n2  *r216

               2   2   10   4   16   2
      + 108*a33 *m1 *m2  *n1 *n2  *n3 *r216

               2   2   10   4   14   4              2   2   10   4   12   6
      + 288*a33 *m1 *m2  *n1 *n2  *n3 *r216 - 48*a33 *m1 *m2  *n1 *n2  *n3 *r216

              2   2   10   2   18   2              2   2   10   2   16   4
      - 24*a33 *m1 *m2  *n1 *n2  *n3 *r216 + 96*a33 *m1 *m2  *n1 *n2  *n3 *r216

               2   2   10   2   14   6             2   2   10   18   4
      + 144*a33 *m1 *m2  *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2  *n2  *n3 *r216

             2   2   10   16   6              2      12   14   7
      - 8*a33 *m1 *m2  *n2  *n3 *r216 + 20*a33 *m1*m2  *n1  *n2 *r214

              2      12   12   9               2      12   12   7   2
      + 28*a33 *m1*m2  *n1  *n2 *r214 + 120*a33 *m1*m2  *n1  *n2 *n3 *r214

             2      12   10   11               2      12   10   9   2
      - 4*a33 *m1*m2  *n1  *n2  *r214 + 172*a33 *m1*m2  *n1  *n2 *n3 *r214

               2      12   10   7   4              2      12   8   13
      + 224*a33 *m1*m2  *n1  *n2 *n3 *r214 - 12*a33 *m1*m2  *n1 *n2  *r214

              2      12   8   11   2               2      12   8   9   4
      + 20*a33 *m1*m2  *n1 *n2  *n3 *r214 + 288*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      12   8   7   6              2      12   6   13   2
      + 128*a33 *m1*m2  *n1 *n2 *n3 *r214 - 32*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      12   6   11   4               2      12   6   9   6
      + 48*a33 *m1*m2  *n1 *n2  *n3 *r214 + 112*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      12   4   13   4              2      12   4   11   6
      - 16*a33 *m1*m2  *n1 *n2  *n3 *r214 - 16*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      11   13   9              2      11   11   11
      - 14*a33 *m1*m2  *n1  *n2 *r216 - 34*a33 *m1*m2  *n1  *n2  *r216

              2      11   11   9   2              2      11   9   13
      - 80*a33 *m1*m2  *n1  *n2 *n3 *r216 - 18*a33 *m1*m2  *n1 *n2  *r216

               2      11   9   11   2               2      11   9   9   4
      - 192*a33 *m1*m2  *n1 *n2  *n3 *r216 - 144*a33 *m1*m2  *n1 *n2 *n3 *r216

              2      11   7   15               2      11   7   13   2
      + 10*a33 *m1*m2  *n1 *n2  *r216 - 120*a33 *m1*m2  *n1 *n2  *n3 *r216

               2      11   7   11   4              2      11   7   9   6
      - 320*a33 *m1*m2  *n1 *n2  *n3 *r216 - 80*a33 *m1*m2  *n1 *n2 *n3 *r216

             2      11   5   17              2      11   5   15   2
      + 8*a33 *m1*m2  *n1 *n2  *r216 + 16*a33 *m1*m2  *n1 *n2  *n3 *r216

               2      11   5   13   4               2      11   5   11   6
      - 192*a33 *m1*m2  *n1 *n2  *n3 *r216 - 144*a33 *m1*m2  *n1 *n2  *n3 *r216

              2      11   3   17   2              2      11   3   13   6
      + 24*a33 *m1*m2  *n1 *n2  *n3 *r216 - 48*a33 *m1*m2  *n1 *n2  *n3 *r216

              2      11      17   4              2      11      15   6
      + 16*a33 *m1*m2  *n1*n2  *n3 *r216 + 16*a33 *m1*m2  *n1*n2  *n3 *r216

             2   13   13   8             2   13   11   10
      + 4*a33 *m2  *n1  *n2 *r214 + 8*a33 *m2  *n1  *n2  *r214

              2   13   11   8   2             2   13   9   12
      + 20*a33 *m2  *n1  *n2 *n3 *r214 + 4*a33 *m2  *n1 *n2  *r214

              2   13   9   10   2              2   13   9   8   4
      + 36*a33 *m2  *n1 *n2  *n3 *r214 + 32*a33 *m2  *n1 *n2 *n3 *r214

              2   13   7   12   2              2   13   7   10   4
      + 16*a33 *m2  *n1 *n2  *n3 *r214 + 48*a33 *m2  *n1 *n2  *n3 *r214

              2   13   7   8   6              2   13   5   12   4
      + 16*a33 *m2  *n1 *n2 *n3 *r214 + 16*a33 *m2  *n1 *n2  *n3 *r214

              2   13   5   10   6             2   12   12   10
      + 16*a33 *m2  *n1 *n2  *n3 *r214 - 2*a33 *m2  *n1  *n2  *r216

             2   12   10   12              2   12   10   10   2
      - 6*a33 *m2  *n1  *n2  *r216 - 10*a33 *m2  *n1  *n2  *n3 *r216

             2   12   8   14              2   12   8   12   2
      - 6*a33 *m2  *n1 *n2  *r216 - 28*a33 *m2  *n1 *n2  *n3 *r216

              2   12   8   10   4             2   12   6   16
      - 16*a33 *m2  *n1 *n2  *n3 *r216 - 2*a33 *m2  *n1 *n2  *r216

              2   12   6   14   2              2   12   6   12   4
      - 26*a33 *m2  *n1 *n2  *n3 *r216 - 40*a33 *m2  *n1 *n2  *n3 *r216

             2   12   6   10   6             2   12   4   16   2
      - 8*a33 *m2  *n1 *n2  *n3 *r216 - 8*a33 *m2  *n1 *n2  *n3 *r216

              2   12   4   14   4              2   12   4   12   6
      - 32*a33 *m2  *n1 *n2  *n3 *r216 - 16*a33 *m2  *n1 *n2  *n3 *r216

             2   12   2   16   4             2   12   2   14   6
      - 8*a33 *m2  *n1 *n2  *n3 *r216 - 8*a33 *m2  *n1 *n2  *n3 *r216

            12   16   6   2             12   16   4   4
      - 3*m1  *n1  *n2 *n3 *r496 + 12*m1  *n1  *n2 *n3 *r496

             12   16   2   6            12   14   6   4
      - 12*m1  *n1  *n2 *n3 *r496 + 4*m1  *n1  *n2 *n3 *r496

             12   14   4   6             12   14   2   8
      - 16*m1  *n1  *n2 *n3 *r496 + 16*m1  *n1  *n2 *n3 *r496

          12   12   10   2            12   12   8   4
      + m1  *n1  *n2  *n3 *r496 - 4*m1  *n1  *n2 *n3 *r496

            12   12   6   6            12   10   12   2
      + 4*m1  *n1  *n2 *n3 *r496 - 2*m1  *n1  *n2  *n3 *r496

            12   10   10   4            12   10   8   6
      + 4*m1  *n1  *n2  *n3 *r496 + 8*m1  *n1  *n2 *n3 *r496

             12   10   6   8            11      17   7
      - 16*m1  *n1  *n2 *n3 *r496 - 3*m1  *m2*n1  *n2 *r496

             11      17   5   2             11      17   3   4
      + 23*m1  *m2*n1  *n2 *n3 *r496 - 44*m1  *m2*n1  *n2 *n3 *r496

             11      17      6            11      15   9
      + 20*m1  *m2*n1  *n2*n3 *r496 - 3*m1  *m2*n1  *n2 *r496

             11      15   7   2             11      15   5   4
      - 13*m1  *m2*n1  *n2 *n3 *r496 + 84*m1  *m2*n1  *n2 *n3 *r496

             11      15   3   6             11      15      8
      - 76*m1  *m2*n1  *n2 *n3 *r496 - 32*m1  *m2*n1  *n2*n3 *r496

          11      13   11            11      13   9   2
      + m1  *m2*n1  *n2  *r496 - 9*m1  *m2*n1  *n2 *n3 *r496

             11      13   7   4              11      13   5   6
      + 52*m1  *m2*n1  *n2 *n3 *r496 - 156*m1  *m2*n1  *n2 *n3 *r496

              11      13   3   8          11      11   13
      + 160*m1  *m2*n1  *n2 *n3 *r496 - m1  *m2*n1  *n2  *r496

             11      11   11   2             11      11   9   4
      + 17*m1  *m2*n1  *n2  *n3 *r496 - 36*m1  *m2*n1  *n2 *n3 *r496

            11      11   7   6             11      11   5   8
      - 4*m1  *m2*n1  *n2 *n3 *r496 + 32*m1  *m2*n1  *n2 *n3 *r496

            11      9   15             11      9   13   2
      - 2*m1  *m2*n1 *n2  *r496 - 10*m1  *m2*n1 *n2  *n3 *r496

             11      9   11   4             11      9   9   6
      + 40*m1  *m2*n1 *n2  *n3 *r496 + 56*m1  *m2*n1 *n2 *n3 *r496

              11      9   7   8             10   2   18   6
      - 160*m1  *m2*n1 *n2 *n3 *r496 + 11*m1  *m2 *n1  *n2 *r496

             10   2   18   4   2             10   2   18   2   4
      - 47*m1  *m2 *n1  *n2 *n3 *r496 + 48*m1  *m2 *n1  *n2 *n3 *r496

            10   2   18   6             10   2   16   8
      - 8*m1  *m2 *n1  *n3 *r496 - 15*m1  *m2 *n1  *n2 *r496

              10   2   16   6   2              10   2   16   4   4
      + 173*m1  *m2 *n1  *n2 *n3 *r496 - 372*m1  *m2 *n1  *n2 *n3 *r496

              10   2   16   2   6             10   2   16   8
      + 148*m1  *m2 *n1  *n2 *n3 *r496 + 16*m1  *m2 *n1  *n3 *r496

             10   2   14   10             10   2   14   8   2
      - 35*m1  *m2 *n1  *n2  *r496 + 61*m1  *m2 *n1  *n2 *n3 *r496

              10   2   14   6   4              10   2   14   4   6
      + 180*m1  *m2 *n1  *n2 *n3 *r496 - 156*m1  *m2 *n1  *n2 *n3 *r496

              10   2   14   2   8            10   2   12   12
      - 320*m1  *m2 *n1  *n2 *n3 *r496 + 7*m1  *m2 *n1  *n2  *r496

             10   2   12   10   2              10   2   12   8   4
      - 71*m1  *m2 *n1  *n2  *n3 *r496 + 260*m1  *m2 *n1  *n2 *n3 *r496

              10   2   12   6   6              10   2   12   4   8
      - 644*m1  *m2 *n1  *n2 *n3 *r496 + 704*m1  *m2 *n1  *n2 *n3 *r496

            10   2   10   14             10   2   10   12   2
      + 4*m1  *m2 *n1  *n2  *r496 + 74*m1  *m2 *n1  *n2  *n3 *r496

              10   2   10   10   4              10   2   10   8   6
      - 164*m1  *m2 *n1  *n2  *n3 *r496 - 188*m1  *m2 *n1  *n2 *n3 *r496

              10   2   10   6   8             10   2   8   16
      + 320*m1  *m2 *n1  *n2 *n3 *r496 - 12*m1  *m2 *n1 *n2  *r496

             10   2   8   14   2              10   2   8   12   4
      - 14*m1  *m2 *n1 *n2  *n3 *r496 + 176*m1  *m2 *n1 *n2  *n3 *r496

              10   2   8   10   6              10   2   8   8   8
      + 144*m1  *m2 *n1 *n2  *n3 *r496 - 720*m1  *m2 *n1 *n2 *n3 *r496

             9   3   19   5             9   3   19   3   2
      - 15*m1 *m2 *n1  *n2 *r496 + 37*m1 *m2 *n1  *n2 *n3 *r496

             9   3   19      4             9   3   17   7
      - 16*m1 *m2 *n1  *n2*n3 *r496 + 79*m1 *m2 *n1  *n2 *r496

              9   3   17   5   2              9   3   17   3   4
      - 393*m1 *m2 *n1  *n2 *n3 *r496 + 424*m1 *m2 *n1  *n2 *n3 *r496

             9   3   17      6             9   3   15   9
      - 56*m1 *m2 *n1  *n2*n3 *r496 + 21*m1 *m2 *n1  *n2 *r496

              9   3   15   7   2               9   3   15   5   4
      + 447*m1 *m2 *n1  *n2 *n3 *r496 - 1356*m1 *m2 *n1  *n2 *n3 *r496

              9   3   15   3   6              9   3   15      8
      + 452*m1 *m2 *n1  *n2 *n3 *r496 + 160*m1 *m2 *n1  *n2*n3 *r496

              9   3   13   11              9   3   13   9   2
      - 151*m1 *m2 *n1  *n2  *r496 + 563*m1 *m2 *n1  *n2 *n3 *r496

              9   3   13   7   4             9   3   13   5   6
      - 164*m1 *m2 *n1  *n2 *n3 *r496 + 28*m1 *m2 *n1  *n2 *n3 *r496

               9   3   13   3   8            9   3   11   13
      - 1440*m1 *m2 *n1  *n2 *n3 *r496 - 4*m1 *m2 *n1  *n2  *r496

              9   3   11   11   2              9   3   11   9   4
      - 198*m1 *m2 *n1  *n2  *n3 *r496 + 684*m1 *m2 *n1  *n2 *n3 *r496

               9   3   11   7   6               9   3   11   5   8
      - 1428*m1 *m2 *n1  *n2 *n3 *r496 + 1760*m1 *m2 *n1  *n2 *n3 *r496

             9   3   9   15              9   3   9   13   2
      + 44*m1 *m2 *n1 *n2  *r496 + 130*m1 *m2 *n1 *n2  *n3 *r496

              9   3   9   11   4              9   3   9   9   6
      - 500*m1 *m2 *n1 *n2  *n3 *r496 - 852*m1 *m2 *n1 *n2 *n3 *r496

               9   3   9   7   8             9   3   7   17
      + 1440*m1 *m2 *n1 *n2 *n3 *r496 - 30*m1 *m2 *n1 *n2  *r496

             9   3   7   15   2              9   3   7   13   4
      + 14*m1 *m2 *n1 *n2  *n3 *r496 + 448*m1 *m2 *n1 *n2  *n3 *r496

             9   3   7   11   6               9   3   7   9   8
      + 96*m1 *m2 *n1 *n2  *n3 *r496 - 1920*m1 *m2 *n1 *n2 *n3 *r496

            8   4   20   4             8   4   20   2   2
      + 9*m1 *m2 *n1  *n2 *r496 - 10*m1 *m2 *n1  *n2 *n3 *r496

              8   4   18   6              8   4   18   4   2
      - 117*m1 *m2 *n1  *n2 *r496 + 319*m1 *m2 *n1  *n2 *n3 *r496

              8   4   18   2   4              8   4   16   8
      - 140*m1 *m2 *n1  *n2 *n3 *r496 + 191*m1 *m2 *n1  *n2 *r496

               8   4   16   6   2               8   4   16   4   4
      - 1368*m1 *m2 *n1  *n2 *n3 *r496 + 1672*m1 *m2 *n1  *n2 *n3 *r496

              8   4   16   2   6              8   4   14   10
      - 144*m1 *m2 *n1  *n2 *n3 *r496 + 289*m1 *m2 *n1  *n2  *r496

              8   4   14   8   2               8   4   14   6   4
      + 163*m1 *m2 *n1  *n2 *n3 *r496 - 2704*m1 *m2 *n1  *n2 *n3 *r496

              8   4   14   4   6              8   4   14   2   8
      + 708*m1 *m2 *n1  *n2 *n3 *r496 + 720*m1 *m2 *n1  *n2 *n3 *r496

              8   4   12   12               8   4   12   10   2
      - 304*m1 *m2 *n1  *n2  *r496 + 1712*m1 *m2 *n1  *n2  *n3 *r496

               8   4   12   8   4              8   4   12   6   6
      - 1656*m1 *m2 *n1  *n2 *n3 *r496 + 672*m1 *m2 *n1  *n2 *n3 *r496

               8   4   12   4   8              8   4   10   14
      - 3840*m1 *m2 *n1  *n2 *n3 *r496 - 112*m1 *m2 *n1  *n2  *r496

              8   4   10   12   2               8   4   10   10   4
      - 162*m1 *m2 *n1  *n2  *n3 *r496 + 1036*m1 *m2 *n1  *n2  *n3 *r496

               8   4   10   8   6               8   4   10   6   8
      - 1692*m1 *m2 *n1  *n2 *n3 *r496 + 2640*m1 *m2 *n1  *n2 *n3 *r496

              8   4   8   16             8   4   8   14   2
      + 124*m1 *m2 *n1 *n2  *r496 + 56*m1 *m2 *n1 *n2  *n3 *r496

               8   4   8   12   4               8   4   8   10   6
      - 1096*m1 *m2 *n1 *n2  *n3 *r496 - 1848*m1 *m2 *n1 *n2  *n3 *r496

               8   4   8   8   8             8   4   6   18
      + 3840*m1 *m2 *n1 *n2 *n3 *r496 - 40*m1 *m2 *n1 *n2  *r496

             8   4   6   16   2              8   4   6   14   4
      + 70*m1 *m2 *n1 *n2  *n3 *r496 + 728*m1 *m2 *n1 *n2  *n3 *r496

              8   4   6   12   6               8   4   6   10   8
      - 336*m1 *m2 *n1 *n2  *n3 *r496 - 3360*m1 *m2 *n1 *n2  *n3 *r496

            7   5   21   3             7   5   19   5
      - 2*m1 *m2 *n1  *n2 *r496 + 72*m1 *m2 *n1  *n2 *r496

             7   5   19   3   2              7   5   17   7
      - 86*m1 *m2 *n1  *n2 *n3 *r496 - 364*m1 *m2 *n1  *n2 *r496

               7   5   17   5   2              7   5   17   3   4
      + 1190*m1 *m2 *n1  *n2 *n3 *r496 - 544*m1 *m2 *n1  *n2 *n3 *r496

             7   5   15   9               7   5   15   7   2
      + 84*m1 *m2 *n1  *n2 *r496 - 2490*m1 *m2 *n1  *n2 *n3 *r496

               7   5   15   5   4             7   5   15   3   6
      + 3872*m1 *m2 *n1  *n2 *n3 *r496 - 96*m1 *m2 *n1  *n2 *n3 *r496

              7   5   13   11               7   5   13   9   2
      + 806*m1 *m2 *n1  *n2  *r496 - 1648*m1 *m2 *n1  *n2 *n3 *r496

               7   5   13   7   4              7   5   13   5   6
      - 2936*m1 *m2 *n1  *n2 *n3 *r496 + 552*m1 *m2 *n1  *n2 *n3 *r496

               7   5   13   3   8              7   5   11   13
      + 1920*m1 *m2 *n1  *n2 *n3 *r496 - 238*m1 *m2 *n1  *n2  *r496

               7   5   11   11   2               7   5   11   9   4
      + 2692*m1 *m2 *n1  *n2  *n3 *r496 - 3960*m1 *m2 *n1  *n2 *n3 *r496

               7   5   11   7   6               7   5   11   5   8
      + 1224*m1 *m2 *n1  *n2 *n3 *r496 - 6720*m1 *m2 *n1  *n2 *n3 *r496

              7   5   9   15              7   5   9   13   2
      - 322*m1 *m2 *n1 *n2  *r496 + 336*m1 *m2 *n1 *n2  *n3 *r496

              7   5   9   11   4              7   5   9   9   6
      + 872*m1 *m2 *n1 *n2  *n3 *r496 - 600*m1 *m2 *n1 *n2 *n3 *r496

               7   5   9   7   8              7   5   7   17
      + 2112*m1 *m2 *n1 *n2 *n3 *r496 + 170*m1 *m2 *n1 *n2  *r496

              7   5   7   15   2               7   5   7   13   4
      - 140*m1 *m2 *n1 *n2  *n3 *r496 - 1736*m1 *m2 *n1 *n2  *n3 *r496

               7   5   7   11   6               7   5   7   9   8
      - 2184*m1 *m2 *n1 *n2  *n3 *r496 + 6720*m1 *m2 *n1 *n2 *n3 *r496

             7   5   5   19             7   5   5   17   2
      - 30*m1 *m2 *n1 *n2  *r496 + 98*m1 *m2 *n1 *n2  *n3 *r496

              7   5   5   15   4               7   5   5   13   6
      + 784*m1 *m2 *n1 *n2  *n3 *r496 - 1008*m1 *m2 *n1 *n2  *n3 *r496

               7   5   5   11   8             6   6   20   4
      - 4032*m1 *m2 *n1 *n2  *n3 *r496 - 16*m1 *m2 *n1  *n2 *r496

              6   6   18   6              6   6   18   4   2
      + 240*m1 *m2 *n1  *n2 *r496 - 322*m1 *m2 *n1  *n2 *n3 *r496

              6   6   16   8               6   6   16   6   2
      - 560*m1 *m2 *n1  *n2 *r496 + 2506*m1 *m2 *n1  *n2 *n3 *r496

               6   6   16   4   4              6   6   14   10
      - 1232*m1 *m2 *n1  *n2 *n3 *r496 - 462*m1 *m2 *n1  *n2  *r496

               6   6   14   8   2               6   6   14   6   4
      - 2268*m1 *m2 *n1  *n2 *n3 *r496 + 5824*m1 *m2 *n1  *n2 *n3 *r496

              6   6   14   4   6               6   6   12   12
      + 336*m1 *m2 *n1  *n2 *n3 *r496 + 1078*m1 *m2 *n1  *n2  *r496

               6   6   12   10   2              6   6   12   8   4
      - 4256*m1 *m2 *n1  *n2  *n3 *r496 - 952*m1 *m2 *n1  *n2 *n3 *r496

              6   6   12   6   6               6   6   12   4   8
      + 168*m1 *m2 *n1  *n2 *n3 *r496 + 3360*m1 *m2 *n1  *n2 *n3 *r496

              6   6   10   14               6   6   10   12   2
      + 154*m1 *m2 *n1  *n2  *r496 + 2156*m1 *m2 *n1  *n2  *n3 *r496

               6   6   10   10   4              6   6   10   8   6
      - 5208*m1 *m2 *n1  *n2  *n3 *r496 + 840*m1 *m2 *n1  *n2 *n3 *r496

               6   6   10   6   8              6   6   8   16
      - 8064*m1 *m2 *n1  *n2 *n3 *r496 - 434*m1 *m2 *n1 *n2  *r496

               6   6   8   14   2              6   6   8   12   4
      + 1008*m1 *m2 *n1 *n2  *n3 *r496 + 280*m1 *m2 *n1 *n2  *n3 *r496

               6   6   8   10   6              6   6   6   18
      + 1176*m1 *m2 *n1 *n2  *n3 *r496 + 124*m1 *m2 *n1 *n2  *r496

              6   6   6   16   2               6   6   6   14   4
      - 238*m1 *m2 *n1 *n2  *n3 *r496 - 1960*m1 *m2 *n1 *n2  *n3 *r496

               6   6   6   12   6               6   6   6   10   8
      - 1176*m1 *m2 *n1 *n2  *n3 *r496 + 8064*m1 *m2 *n1 *n2  *n3 *r496

             6   6   4   20             6   6   4   18   2
      - 12*m1 *m2 *n1 *n2  *r496 + 70*m1 *m2 *n1 *n2  *n3 *r496

              6   6   4   16   4               6   6   4   14   6
      + 560*m1 *m2 *n1 *n2  *n3 *r496 - 1344*m1 *m2 *n1 *n2  *n3 *r496

               6   6   4   12   8             5   7   19   5
      - 3360*m1 *m2 *n1 *n2  *n3 *r496 - 54*m1 *m2 *n1  *n2 *r496

              5   7   17   7              5   7   17   5   2
      + 432*m1 *m2 *n1  *n2 *r496 - 686*m1 *m2 *n1  *n2 *n3 *r496

              5   7   15   9               5   7   15   7   2
      - 378*m1 *m2 *n1  *n2 *r496 + 3248*m1 *m2 *n1  *n2 *n3 *r496

               5   7   15   5   4               5   7   13   11
      - 1792*m1 *m2 *n1  *n2 *n3 *r496 - 1022*m1 *m2 *n1  *n2  *r496

              5   7   13   9   2               5   7   13   7   4
      - 252*m1 *m2 *n1  *n2 *n3 *r496 + 5936*m1 *m2 *n1  *n2 *n3 *r496

               5   7   13   5   6              5   7   11   13
      + 1008*m1 *m2 *n1  *n2 *n3 *r496 + 686*m1 *m2 *n1  *n2  *r496

               5   7   11   11   2               5   7   11   9   4
      - 5152*m1 *m2 *n1  *n2  *n3 *r496 + 1960*m1 *m2 *n1  *n2 *n3 *r496

              5   7   11   7   6               5   7   11   5   8
      + 168*m1 *m2 *n1  *n2 *n3 *r496 + 4032*m1 *m2 *n1  *n2 *n3 *r496

              5   7   9   15              5   7   9   13   2
      + 490*m1 *m2 *n1 *n2  *r496 + 340*m1 *m2 *n1 *n2  *n3 *r496

               5   7   9   11   4              5   7   9   9   6
      - 4104*m1 *m2 *n1 *n2  *n3 *r496 - 264*m1 *m2 *n1 *n2 *n3 *r496

               5   7   9   7   8              5   7   7   17
      - 6720*m1 *m2 *n1 *n2 *n3 *r496 - 308*m1 *m2 *n1 *n2  *r496

               5   7   7   15   2              5   7   7   13   4
      + 1134*m1 *m2 *n1 *n2  *n3 *r496 - 136*m1 *m2 *n1 *n2  *n3 *r496

               5   7   7   11   6               5   7   7   9   8
      + 1944*m1 *m2 *n1 *n2  *n3 *r496 - 2112*m1 *m2 *n1 *n2 *n3 *r496

             5   7   5   19              5   7   5   17   2
      + 44*m1 *m2 *n1 *n2  *r496 - 146*m1 *m2 *n1 *n2  *n3 *r496

               5   7   5   15   4              5   7   5   13   6
      - 1544*m1 *m2 *n1 *n2  *n3 *r496 + 312*m1 *m2 *n1 *n2  *n3 *r496

               5   7   5   11   8            5   7   3   21
      + 6720*m1 *m2 *n1 *n2  *n3 *r496 - 2*m1 *m2 *n1 *n2  *r496

             5   7   3   19   2              5   7   3   17   4
      + 26*m1 *m2 *n1 *n2  *n3 *r496 + 256*m1 *m2 *n1 *n2  *n3 *r496

               5   7   3   15   6               5   7   3   13   8
      - 1056*m1 *m2 *n1 *n2  *n3 *r496 - 1920*m1 *m2 *n1 *n2  *n3 *r496

              4   8   18   6              4   8   16   8
      - 100*m1 *m2 *n1  *n2 *r496 + 450*m1 *m2 *n1  *n2 *r496

              4   8   16   6   2             4   8   14   10
      - 910*m1 *m2 *n1  *n2 *n3 *r496 + 70*m1 *m2 *n1  *n2  *r496

               4   8   14   8   2               4   8   14   6   4
      + 2632*m1 *m2 *n1  *n2 *n3 *r496 - 1736*m1 *m2 *n1  *n2 *n3 *r496

              4   8   12   12               4   8   12   10   2
      - 966*m1 *m2 *n1  *n2  *r496 + 1722*m1 *m2 *n1  *n2  *n3 *r496

               4   8   12   8   4               4   8   12   6   6
      + 4144*m1 *m2 *n1  *n2 *n3 *r496 + 1344*m1 *m2 *n1  *n2 *n3 *r496

             4   8   10   14               4   8   10   12   2
      + 46*m1 *m2 *n1  *n2  *r496 - 3428*m1 *m2 *n1  *n2  *n3 *r496

               4   8   10   10   4              4   8   10   8   6
      + 3344*m1 *m2 *n1  *n2  *n3 *r496 + 552*m1 *m2 *n1  *n2 *n3 *r496

               4   8   10   6   8              4   8   8   16
      + 3360*m1 *m2 *n1  *n2 *n3 *r496 + 424*m1 *m2 *n1 *n2  *r496

              4   8   8   14   2               4   8   8   12   4
      - 937*m1 *m2 *n1 *n2  *n3 *r496 - 1764*m1 *m2 *n1 *n2  *n3 *r496

              4   8   8   10   6               4   8   8   8   8
      - 972*m1 *m2 *n1 *n2  *n3 *r496 - 3840*m1 *m2 *n1 *n2 *n3 *r496

              4   8   6   18              4   8   6   16   2
      - 104*m1 *m2 *n1 *n2  *r496 + 642*m1 *m2 *n1 *n2  *n3 *r496

              4   8   6   14   4               4   8   6   12   6
      - 116*m1 *m2 *n1 *n2  *n3 *r496 + 1272*m1 *m2 *n1 *n2  *n3 *r496

               4   8   6   10   8            4   8   4   20
      - 2640*m1 *m2 *n1 *n2  *n3 *r496 + 4*m1 *m2 *n1 *n2  *r496

             4   8   4   18   2              4   8   4   16   4
      - 25*m1 *m2 *n1 *n2  *n3 *r496 - 820*m1 *m2 *n1 *n2  *n3 *r496

              4   8   4   14   6               4   8   4   12   8
      + 948*m1 *m2 *n1 *n2  *n3 *r496 + 3840*m1 *m2 *n1 *n2  *n3 *r496

            4   8   2   20   2             4   8   2   18   4
      + 4*m1 *m2 *n1 *n2  *n3 *r496 + 68*m1 *m2 *n1 *n2  *n3 *r496

              4   8   2   16   6              4   8   2   14   8
      - 504*m1 *m2 *n1 *n2  *n3 *r496 - 720*m1 *m2 *n1 *n2  *n3 *r496

              3   9   17   7              3   9   15   9
      - 110*m1 *m2 *n1  *n2 *r496 + 264*m1 *m2 *n1  *n2 *r496

              3   9   15   7   2              3   9   13   11
      - 770*m1 *m2 *n1  *n2 *n3 *r496 + 308*m1 *m2 *n1  *n2  *r496

               3   9   13   9   2               3   9   13   7   4
      + 1274*m1 *m2 *n1  *n2 *n3 *r496 - 1120*m1 *m2 *n1  *n2 *n3 *r496

              3   9   11   13               3   9   11   11   2
      - 444*m1 *m2 *n1  *n2  *r496 + 1962*m1 *m2 *n1  *n2  *n3 *r496

               3   9   11   9   4               3   9   11   7   6
      + 1952*m1 *m2 *n1  *n2 *n3 *r496 + 1056*m1 *m2 *n1  *n2 *n3 *r496

              3   9   9   15               3   9   9   13   2
      - 211*m1 *m2 *n1 *n2  *r496 - 1087*m1 *m2 *n1 *n2  *n3 *r496

               3   9   9   11   4              3   9   9   9   6
      + 2596*m1 *m2 *n1 *n2  *n3 *r496 + 708*m1 *m2 *n1 *n2 *n3 *r496

               3   9   9   7   8              3   9   7   17
      + 1920*m1 *m2 *n1 *n2 *n3 *r496 + 161*m1 *m2 *n1 *n2  *r496

              3   9   7   15   2              3   9   7   13   4
      - 863*m1 *m2 *n1 *n2  *n3 *r496 - 156*m1 *m2 *n1 *n2  *n3 *r496

              3   9   7   11   6               3   9   7   9   8
      - 828*m1 *m2 *n1 *n2  *n3 *r496 - 1440*m1 *m2 *n1 *n2 *n3 *r496

            3   9   5   19              3   9   5   17   2
      - 7*m1 *m2 *n1 *n2  *r496 + 153*m1 *m2 *n1 *n2  *n3 *r496

             3   9   5   15   4              3   9   5   13   6
      + 36*m1 *m2 *n1 *n2  *n3 *r496 + 308*m1 *m2 *n1 *n2  *n3 *r496

               3   9   5   11   8          3   9   3   21
      - 1760*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1 *n2  *r496

             3   9   3   19   2              3   9   3   17   4
      + 11*m1 *m2 *n1 *n2  *n3 *r496 - 276*m1 *m2 *n1 *n2  *n3 *r496

              3   9   3   15   6               3   9   3   13   8
      + 652*m1 *m2 *n1 *n2  *n3 *r496 + 1440*m1 *m2 *n1 *n2  *n3 *r496

            3   9      19   4              3   9      17   6
      + 8*m1 *m2 *n1*n2  *n3 *r496 - 136*m1 *m2 *n1*n2  *n3 *r496

              3   9      15   8             2   10   16   8
      - 160*m1 *m2 *n1*n2  *n3 *r496 - 72*m1 *m2  *n1  *n2 *r496

             2   10   14   10              2   10   14   8   2
      + 72*m1 *m2  *n1  *n2  *r496 - 406*m1 *m2  *n1  *n2 *n3 *r496

              2   10   12   12              2   10   12   10   2
      + 216*m1 *m2  *n1  *n2  *r496 + 310*m1 *m2  *n1  *n2  *n3 *r496

              2   10   12   8   4             2   10   10   14
      - 464*m1 *m2  *n1  *n2 *n3 *r496 - 61*m1 *m2  *n1  *n2  *r496

               2   10   10   12   2              2   10   10   10   4
      + 1035*m1 *m2  *n1  *n2  *n3 *r496 + 592*m1 *m2  *n1  *n2  *n3 *r496

              2   10   10   8   6              2   10   8   16
      + 504*m1 *m2  *n1  *n2 *n3 *r496 - 119*m1 *m2  *n1 *n2  *r496

             2   10   8   14   2               2   10   8   12   4
      + 27*m1 *m2  *n1 *n2  *n3 *r496 + 1164*m1 *m2  *n1 *n2  *n3 *r496

              2   10   8   10   6              2   10   8   8   8
      + 452*m1 *m2  *n1 *n2  *n3 *r496 + 720*m1 *m2  *n1 *n2 *n3 *r496

             2   10   6   18              2   10   6   16   2
      + 17*m1 *m2  *n1 *n2  *r496 - 305*m1 *m2  *n1 *n2  *n3 *r496

              2   10   6   14   4              2   10   6   12   6
      + 228*m1 *m2  *n1 *n2  *n3 *r496 - 364*m1 *m2  *n1 *n2  *n3 *r496

              2   10   6   10   8            2   10   4   20
      - 320*m1 *m2  *n1 *n2  *n3 *r496 + 3*m1 *m2  *n1 *n2  *r496

            2   10   4   18   2             2   10   4   16   4
      - 9*m1 *m2  *n1 *n2  *n3 *r496 + 68*m1 *m2  *n1 *n2  *n3 *r496

             2   10   4   14   6              2   10   4   12   8
      - 84*m1 *m2  *n1 *n2  *n3 *r496 - 704*m1 *m2  *n1 *n2  *n3 *r496

            2   10   2   20   2             2   10   2   18   4
      + 4*m1 *m2  *n1 *n2  *n3 *r496 - 52*m1 *m2  *n1 *n2  *n3 *r496

              2   10   2   16   6              2   10   2   14   8
      + 212*m1 *m2  *n1 *n2  *n3 *r496 + 320*m1 *m2  *n1 *n2  *n3 *r496

             2   10   18   6             2   10   16   8
      - 16*m1 *m2  *n2  *n3 *r496 - 16*m1 *m2  *n2  *n3 *r496

                11   15   9                 11   13   9   2
      - 26*m1*m2  *n1  *n2 *r496 - 122*m1*m2  *n1  *n2 *n3 *r496

                11   11   13                11   11   11   2
      + 65*m1*m2  *n1  *n2  *r496 + 11*m1*m2  *n1  *n2  *n3 *r496

                 11   11   9   4                11   9   15
      - 112*m1*m2  *n1  *n2 *n3 *r496 + 23*m1*m2  *n1 *n2  *r496

                 11   9   13   2                 11   9   11   4
      + 277*m1*m2  *n1 *n2  *n3 *r496 + 104*m1*m2  *n1 *n2  *n3 *r496

                 11   9   9   6                11   7   17
      + 136*m1*m2  *n1 *n2 *n3 *r496 - 19*m1*m2  *n1 *n2  *r496

                 11   7   15   2                 11   7   13   4
      + 121*m1*m2  *n1 *n2  *n3 *r496 + 292*m1*m2  *n1 *n2  *n3 *r496

                 11   7   11   6                 11   7   9   8
      + 148*m1*m2  *n1 *n2  *n3 *r496 + 160*m1*m2  *n1 *n2 *n3 *r496

               11   5   19                11   5   17   2
      - 3*m1*m2  *n1 *n2  *r496 - 31*m1*m2  *n1 *n2  *n3 *r496

                 11   5   15   4                11   5   13   6
      + 108*m1*m2  *n1 *n2  *n3 *r496 - 84*m1*m2  *n1 *n2  *n3 *r496

                11   5   11   8               11   3   19   2
      - 32*m1*m2  *n1 *n2  *n3 *r496 - 8*m1*m2  *n1 *n2  *n3 *r496

                11   3   17   4                11   3   15   6
      + 28*m1*m2  *n1 *n2  *n3 *r496 - 68*m1*m2  *n1 *n2  *n3 *r496

                 11   3   13   8               11      19   4
      - 160*m1*m2  *n1 *n2  *n3 *r496 - 4*m1*m2  *n1*n2  *n3 *r496

                11      17   6                11      15   8
      + 28*m1*m2  *n1*n2  *n3 *r496 + 32*m1*m2  *n1*n2  *n3 *r496

            12   14   10            12   12   12
      - 4*m2  *n1  *n2  *r496 - 3*m2  *n1  *n2  *r496

             12   12   10   2            12   10   14
      - 16*m2  *n1  *n2  *n3 *r496 + 7*m2  *n1  *n2  *r496

            12   10   12   2             12   10   10   4
      - 7*m2  *n1  *n2  *n3 *r496 - 12*m2  *n1  *n2  *n3 *r496

            12   8   16             12   8   14   2
      + 7*m2  *n1 *n2  *r496 + 30*m2  *n1 *n2  *n3 *r496

            12   8   12   4             12   8   10   6
      + 8*m2  *n1 *n2  *n3 *r496 + 16*m2  *n1 *n2  *n3 *r496

          12   6   18             12   6   16   2
      + m2  *n1 *n2  *r496 + 25*m2  *n1 *n2  *n3 *r496

             12   6   14   4             12   6   12   6
      + 32*m2  *n1 *n2  *n3 *r496 + 20*m2  *n1 *n2  *n3 *r496

             12   6   10   8            12   4   18   2
      + 16*m2  *n1 *n2  *n3 *r496 + 4*m2  *n1 *n2  *n3 *r496

             12   4   16   4            12   4   14   6
      + 16*m2  *n1 *n2  *n3 *r496 - 8*m2  *n1 *n2  *n3 *r496

            12   2   18   4             12   2   16   6
      + 4*m2  *n1 *n2  *n3 *r496 - 12*m2  *n1 *n2  *n3 *r496

             12   2   14   8             2   11   14   7   2
      - 16*m2  *n1 *n2  *n3 *r496)/(4*a33 *m1  *n1  *n2 *n3

            2   11   14   5   4         2   11   14   3   6
    - 16*a33 *m1  *n1  *n2 *n3  + 16*a33 *m1  *n1  *n2 *n3

           2   11   12   9   2         2   11   12   7   4
    + 4*a33 *m1  *n1  *n2 *n3  - 16*a33 *m1  *n1  *n2 *n3

            2   11   12   5   6        2   11   10   11   2
    + 16*a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2  *n3

            2   11   10   9   4         2   11   10   7   6
    + 16*a33 *m1  *n1  *n2 *n3  - 16*a33 *m1  *n1  *n2 *n3

           2   11   8   13   2         2   11   8   11   4
    - 4*a33 *m1  *n1 *n2  *n3  + 16*a33 *m1  *n1 *n2  *n3

            2   11   8   9   6        2   10      15   8
    - 16*a33 *m1  *n1 *n2 *n3  + 4*a33 *m1  *m2*n1  *n2

            2   10      15   6   2         2   10      15   4   4
    - 36*a33 *m1  *m2*n1  *n2 *n3  + 80*a33 *m1  *m2*n1  *n2 *n3

            2   10      15   2   6        2   10      13   10
    - 48*a33 *m1  *m2*n1  *n2 *n3  + 8*a33 *m1  *m2*n1  *n2

            2   10      13   8   2         2   10      13   6   4
    - 28*a33 *m1  *m2*n1  *n2 *n3  - 16*a33 *m1  *m2*n1  *n2 *n3

            2   10      13   4   6         2   10      11   10   2
    + 80*a33 *m1  *m2*n1  *n2 *n3  + 44*a33 *m1  *m2*n1  *n2  *n3

             2   10      11   8   4          2   10      11   6   6
    - 176*a33 *m1  *m2*n1  *n2 *n3  + 176*a33 *m1  *m2*n1  *n2 *n3

           2   10      9   14         2   10      9   12   2
    - 8*a33 *m1  *m2*n1 *n2   + 28*a33 *m1  *m2*n1 *n2  *n3

            2   10      9   10   4         2   10      9   8   6
    + 16*a33 *m1  *m2*n1 *n2  *n3  - 80*a33 *m1  *m2*n1 *n2 *n3

           2   10      7   16        2   10      7   14   2
    - 4*a33 *m1  *m2*n1 *n2   - 8*a33 *m1  *m2*n1 *n2  *n3

            2   10      7   12   4          2   10      7   10   6
    + 96*a33 *m1  *m2*n1 *n2  *n3  - 128*a33 *m1  *m2*n1 *n2  *n3

            2   9   2   16   7          2   9   2   16   5   2
    - 20*a33 *m1 *m2 *n1  *n2  + 104*a33 *m1 *m2 *n1  *n2 *n3

             2   9   2   16   3   4         2   9   2   16      6
    - 144*a33 *m1 *m2 *n1  *n2 *n3  + 48*a33 *m1 *m2 *n1  *n2*n3

            2   9   2   14   9         2   9   2   14   7   2
    - 20*a33 *m1 *m2 *n1  *n2  - 48*a33 *m1 *m2 *n1  *n2 *n3

             2   9   2   14   5   4          2   9   2   14   3   6
    + 368*a33 *m1 *m2 *n1  *n2 *n3  - 336*a33 *m1 *m2 *n1  *n2 *n3

            2   9   2   12   11          2   9   2   12   9   2
    + 40*a33 *m1 *m2 *n1  *n2   - 292*a33 *m1 *m2 *n1  *n2 *n3

             2   9   2   12   7   4         2   9   2   12   5   6
    + 432*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

            2   9   2   10   13         2   9   2   10   11   2
    + 40*a33 *m1 *m2 *n1  *n2   + 12*a33 *m1 *m2 *n1  *n2  *n3

             2   9   2   10   9   4          2   9   2   10   7   6
    - 592*a33 *m1 *m2 *n1  *n2 *n3  + 784*a33 *m1 *m2 *n1  *n2 *n3

            2   9   2   8   15          2   9   2   8   13   2
    - 20*a33 *m1 *m2 *n1 *n2   + 188*a33 *m1 *m2 *n1 *n2  *n3

             2   9   2   8   11   4         2   9   2   8   9   6
    - 288*a33 *m1 *m2 *n1 *n2  *n3  - 64*a33 *m1 *m2 *n1 *n2 *n3

            2   9   2   6   17         2   9   2   6   15   2
    - 20*a33 *m1 *m2 *n1 *n2   + 36*a33 *m1 *m2 *n1 *n2  *n3

             2   9   2   6   13   4          2   9   2   6   11   6
    + 224*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2  *n3

            2   8   3   17   6          2   8   3   17   4   2
    + 40*a33 *m1 *m2 *n1  *n2  - 136*a33 *m1 *m2 *n1  *n2 *n3

             2   8   3   17   2   4         2   8   3   17   6
    + 112*a33 *m1 *m2 *n1  *n2 *n3  - 16*a33 *m1 *m2 *n1  *n3

            2   8   3   15   8          2   8   3   15   6   2
    - 20*a33 *m1 *m2 *n1  *n2  + 392*a33 *m1 *m2 *n1  *n2 *n3

             2   8   3   15   4   4          2   8   3   15   2   6
    - 848*a33 *m1 *m2 *n1  *n2 *n3  + 368*a33 *m1 *m2 *n1  *n2 *n3

             2   8   3   13   10          2   8   3   13   8   2
    - 160*a33 *m1 *m2 *n1  *n2   + 508*a33 *m1 *m2 *n1  *n2 *n3

             2   8   3   13   6   4          2   8   3   13   4   6
    + 272*a33 *m1 *m2 *n1  *n2 *n3  - 944*a33 *m1 *m2 *n1  *n2 *n3

             2   8   3   11   10   2           2   8   3   11   8   4
    - 708*a33 *m1 *m2 *n1  *n2  *n3  + 1968*a33 *m1 *m2 *n1  *n2 *n3

             2   8   3   11   6   6          2   8   3   9   14
    - 816*a33 *m1 *m2 *n1  *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2

             2   8   3   9   12   2          2   8   3   9   10   4
    - 532*a33 *m1 *m2 *n1 *n2  *n3  - 608*a33 *m1 *m2 *n1 *n2  *n3

              2   8   3   9   8   6         2   8   3   7   16
    + 1856*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

             2   8   3   7   14   2           2   8   3   7   12   4
    + 316*a33 *m1 *m2 *n1 *n2  *n3  - 1120*a33 *m1 *m2 *n1 *n2  *n3

             2   8   3   7   10   6         2   8   3   5   18
    + 448*a33 *m1 *m2 *n1 *n2  *n3  - 40*a33 *m1 *m2 *n1 *n2

             2   8   3   5   16   2          2   8   3   5   14   4
    + 160*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

             2   8   3   5   12   6         2   7   4   18   5
    - 896*a33 *m1 *m2 *n1 *n2  *n3  - 40*a33 *m1 *m2 *n1  *n2

            2   7   4   18   3   2         2   7   4   18      4
    + 84*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2*n3

             2   7   4   16   7          2   7   4   16   5   2
    + 120*a33 *m1 *m2 *n1  *n2  - 668*a33 *m1 *m2 *n1  *n2 *n3

             2   7   4   16   3   4          2   7   4   16      6
    + 736*a33 *m1 *m2 *n1  *n2 *n3  - 128*a33 *m1 *m2 *n1  *n2*n3

             2   7   4   14   9          2   7   4   14   7   2
    + 200*a33 *m1 *m2 *n1  *n2  + 148*a33 *m1 *m2 *n1  *n2 *n3

              2   7   4   14   5   4           2   7   4   14   3   6
    - 1888*a33 *m1 *m2 *n1  *n2 *n3  + 1216*a33 *m1 *m2 *n1  *n2 *n3

             2   7   4   12   11           2   7   4   12   9   2
    - 280*a33 *m1 *m2 *n1  *n2   + 1892*a33 *m1 *m2 *n1  *n2 *n3

              2   7   4   12   7   4           2   7   4   12   5   6
    - 1632*a33 *m1 *m2 *n1  *n2 *n3  - 1216*a33 *m1 *m2 *n1  *n2 *n3

             2   7   4   10   13          2   7   4   10   11   2
    - 280*a33 *m1 *m2 *n1  *n2   - 252*a33 *m1 *m2 *n1  *n2  *n3

              2   7   4   10   9   4           2   7   4   10   7   6
    + 3712*a33 *m1 *m2 *n1  *n2 *n3  - 2784*a33 *m1 *m2 *n1  *n2 *n3

             2   7   4   8   15           2   7   4   8   13   2
    + 200*a33 *m1 *m2 *n1 *n2   - 1484*a33 *m1 *m2 *n1 *n2  *n3

             2   7   4   8   11   4           2   7   4   8   9   6
    + 896*a33 *m1 *m2 *n1 *n2  *n3  + 2464*a33 *m1 *m2 *n1 *n2 *n3

             2   7   4   6   17         2   7   4   6   15   2
    + 120*a33 *m1 *m2 *n1 *n2   + 20*a33 *m1 *m2 *n1 *n2  *n3

              2   7   4   6   13   4           2   7   4   6   11   6
    - 1792*a33 *m1 *m2 *n1 *n2  *n3  + 1568*a33 *m1 *m2 *n1 *n2  *n3

            2   7   4   4   19          2   7   4   4   17   2
    - 40*a33 *m1 *m2 *n1 *n2   + 260*a33 *m1 *m2 *n1 *n2  *n3

              2   7   4   4   13   6         2   6   5   19   4
    - 1120*a33 *m1 *m2 *n1 *n2  *n3  + 20*a33 *m1 *m2 *n1  *n2

            2   6   5   19   2   2          2   6   5   17   6
    - 20*a33 *m1 *m2 *n1  *n2 *n3  - 160*a33 *m1 *m2 *n1  *n2

             2   6   5   17   4   2          2   6   5   17   2   4
    + 468*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

              2   6   5   15   6   2           2   6   5   15   4   4
    - 1148*a33 *m1 *m2 *n1  *n2 *n3  + 2016*a33 *m1 *m2 *n1  *n2 *n3

             2   6   5   15   2   6          2   6   5   13   10
    - 448*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2

              2   6   5   13   8   2           2   6   5   13   6   4
    - 1484*a33 *m1 *m2 *n1  *n2 *n3  - 1568*a33 *m1 *m2 *n1  *n2 *n3

              2   6   5   13   4   6           2   6   5   11   10   2
    + 2240*a33 *m1 *m2 *n1  *n2 *n3  + 2548*a33 *m1 *m2 *n1  *n2  *n3

              2   6   5   11   8   4          2   6   5   11   6   6
    - 4928*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

             2   6   5   9   14           2   6   5   9   12   2
    - 560*a33 *m1 *m2 *n1 *n2   + 1540*a33 *m1 *m2 *n1 *n2  *n3

              2   6   5   9   10   4           2   6   5   9   8   6
    + 3136*a33 *m1 *m2 *n1 *n2  *n3  - 4704*a33 *m1 *m2 *n1 *n2 *n3

              2   6   5   7   14   2           2   6   5   7   12   4
    - 1596*a33 *m1 *m2 *n1 *n2  *n3  + 3136*a33 *m1 *m2 *n1 *n2  *n3

              2   6   5   7   10   6          2   6   5   5   18
    + 1568*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2

             2   6   5   5   16   2           2   6   5   5   14   4
    - 524*a33 *m1 *m2 *n1 *n2  *n3  - 1344*a33 *m1 *m2 *n1 *n2  *n3

              2   6   5   5   12   6         2   6   5   3   20
    + 2464*a33 *m1 *m2 *n1 *n2  *n3  - 20*a33 *m1 *m2 *n1 *n2

             2   6   5   3   18   2          2   6   5   3   16   4
    + 216*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

             2   6   5   3   14   6        2   5   6   20   3
    - 896*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1  *n2

            2   5   6   18   5          2   5   6   18   3   2
    + 92*a33 *m1 *m2 *n1  *n2  - 120*a33 *m1 *m2 *n1  *n2 *n3

             2   5   6   16   7           2   5   6   16   5   2
    - 200*a33 *m1 *m2 *n1  *n2  + 1044*a33 *m1 *m2 *n1  *n2 *n3

             2   5   6   16   3   4          2   5   6   14   9
    - 672*a33 *m1 *m2 *n1  *n2 *n3  - 392*a33 *m1 *m2 *n1  *n2

             2   5   6   14   7   2           2   5   6   14   5   4
    - 476*a33 *m1 *m2 *n1  *n2 *n3  + 2912*a33 *m1 *m2 *n1  *n2 *n3

             2   5   6   14   3   6          2   5   6   12   11
    - 896*a33 *m1 *m2 *n1  *n2 *n3  + 504*a33 *m1 *m2 *n1  *n2

              2   5   6   12   9   2          2   5   6   12   7   4
    - 3164*a33 *m1 *m2 *n1  *n2 *n3  + 896*a33 *m1 *m2 *n1  *n2 *n3

              2   5   6   12   5   6          2   5   6   10   13
    + 2464*a33 *m1 *m2 *n1  *n2 *n3  + 504*a33 *m1 *m2 *n1  *n2

             2   5   6   10   11   2           2   5   6   10   9   4
    + 980*a33 *m1 *m2 *n1  *n2  *n3  - 6272*a33 *m1 *m2 *n1  *n2 *n3

              2   5   6   10   7   6          2   5   6   8   15
    + 1568*a33 *m1 *m2 *n1  *n2 *n3  - 392*a33 *m1 *m2 *n1 *n2

              2   5   6   8   13   2           2   5   6   8   9   6
    + 2772*a33 *m1 *m2 *n1 *n2  *n3  - 4704*a33 *m1 *m2 *n1 *n2 *n3

             2   5   6   6   17          2   5   6   6   15   2
    - 200*a33 *m1 *m2 *n1 *n2   - 476*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   6   13   4          2   5   6   6   11   6
    + 3584*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

            2   5   6   4   19          2   5   6   4   17   2
    + 92*a33 *m1 *m2 *n1 *n2   - 652*a33 *m1 *m2 *n1 *n2  *n3

             2   5   6   4   15   4           2   5   6   4   13   6
    - 224*a33 *m1 *m2 *n1 *n2  *n3  + 2240*a33 *m1 *m2 *n1 *n2  *n3

           2   5   6   2   21         2   5   6   2   19   2
    - 4*a33 *m1 *m2 *n1 *n2   + 92*a33 *m1 *m2 *n1 *n2  *n3

             2   5   6   2   17   4          2   5   6   2   15   6
    - 224*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2  *n3

            2   4   7   19   4          2   4   7   17   6
    - 20*a33 *m1 *m2 *n1  *n2  + 160*a33 *m1 *m2 *n1  *n2

             2   4   7   17   4   2           2   4   7   15   6   2
    - 300*a33 *m1 *m2 *n1  *n2 *n3  + 1140*a33 *m1 *m2 *n1  *n2 *n3

              2   4   7   15   4   4          2   4   7   13   10
    - 1120*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2

             2   4   7   13   8   2           2   4   7   13   6   4
    + 980*a33 *m1 *m2 *n1  *n2 *n3  + 2240*a33 *m1 *m2 *n1  *n2 *n3

              2   4   7   13   4   6           2   4   7   11   10   2
    - 1120*a33 *m1 *m2 *n1  *n2 *n3  - 2716*a33 *m1 *m2 *n1  *n2  *n3

              2   4   7   11   8   4           2   4   7   11   6   6
    + 3136*a33 *m1 *m2 *n1  *n2 *n3  + 1568*a33 *m1 *m2 *n1  *n2 *n3

             2   4   7   9   14           2   4   7   9   12   2
    + 560*a33 *m1 *m2 *n1 *n2   - 1148*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   9   10   4           2   4   7   9   8   6
    - 4032*a33 *m1 *m2 *n1 *n2  *n3  + 2464*a33 *m1 *m2 *n1 *n2 *n3

              2   4   7   7   14   2           2   4   7   7   12   4
    + 1908*a33 *m1 *m2 *n1 *n2  *n3  - 2368*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   7   10   6          2   4   7   5   18
    - 2784*a33 *m1 *m2 *n1 *n2  *n3  - 160*a33 *m1 *m2 *n1 *n2

             2   4   7   5   16   2           2   4   7   5   14   4
    + 452*a33 *m1 *m2 *n1 *n2  *n3  + 1888*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   5   12   6         2   4   7   3   20
    - 1216*a33 *m1 *m2 *n1 *n2  *n3  + 20*a33 *m1 *m2 *n1 *n2

             2   4   7   3   18   2          2   4   7   3   16   4
    - 332*a33 *m1 *m2 *n1 *n2  *n3  + 352*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   3   14   6         2   4   7      20   2
    + 1216*a33 *m1 *m2 *n1 *n2  *n3  + 16*a33 *m1 *m2 *n1*n2  *n3

            2   4   7      18   4          2   4   7      16   6
    - 96*a33 *m1 *m2 *n1*n2  *n3  - 128*a33 *m1 *m2 *n1*n2  *n3

            2   3   8   18   5          2   3   8   16   7
    - 40*a33 *m1 *m2 *n1  *n2  + 120*a33 *m1 *m2 *n1  *n2

             2   3   8   16   5   2          2   3   8   14   9
    - 400*a33 *m1 *m2 *n1  *n2 *n3  + 200*a33 *m1 *m2 *n1  *n2

             2   3   8   14   7   2           2   3   8   14   5   4
    + 540*a33 *m1 *m2 *n1  *n2 *n3  - 1120*a33 *m1 *m2 *n1  *n2 *n3

             2   3   8   12   11           2   3   8   12   9   2
    - 280*a33 *m1 *m2 *n1  *n2   + 1484*a33 *m1 *m2 *n1  *n2 *n3

             2   3   8   12   7   4          2   3   8   12   5   6
    + 672*a33 *m1 *m2 *n1  *n2 *n3  - 896*a33 *m1 *m2 *n1  *n2 *n3

             2   3   8   10   13          2   3   8   10   11   2
    - 280*a33 *m1 *m2 *n1  *n2   - 868*a33 *m1 *m2 *n1  *n2  *n3

              2   3   8   10   9   4          2   3   8   10   7   6
    + 2912*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

             2   3   8   8   15           2   3   8   8   13   2
    + 200*a33 *m1 *m2 *n1 *n2   - 1492*a33 *m1 *m2 *n1 *n2  *n3

             2   3   8   8   11   4           2   3   8   8   9   6
    - 928*a33 *m1 *m2 *n1 *n2  *n3  + 1856*a33 *m1 *m2 *n1 *n2 *n3

             2   3   8   6   17          2   3   8   6   15   2
    + 120*a33 *m1 *m2 *n1 *n2   + 392*a33 *m1 *m2 *n1 *n2  *n3

              2   3   8   6   13   4          2   3   8   6   11   6
    - 2032*a33 *m1 *m2 *n1 *n2  *n3  - 816*a33 *m1 *m2 *n1 *n2  *n3

            2   3   8   4   19          2   3   8   4   17   2
    - 40*a33 *m1 *m2 *n1 *n2   + 408*a33 *m1 *m2 *n1 *n2  *n3

             2   3   8   4   15   4          2   3   8   4   13   6
    + 272*a33 *m1 *m2 *n1 *n2  *n3  - 944*a33 *m1 *m2 *n1 *n2  *n3

            2   3   8   2   19   2          2   3   8   2   17   4
    - 64*a33 *m1 *m2 *n1 *n2  *n3  + 240*a33 *m1 *m2 *n1 *n2  *n3

             2   3   8   2   15   6         2   3   8   19   4
    + 368*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n2  *n3

            2   3   8   17   6         2   2   9   17   6
    - 16*a33 *m1 *m2 *n2  *n3  - 40*a33 *m1 *m2 *n1  *n2

            2   2   9   15   8          2   2   9   15   6   2
    + 20*a33 *m1 *m2 *n1  *n2  - 300*a33 *m1 *m2 *n1  *n2 *n3

             2   2   9   13   10         2   2   9   13   8   2
    + 160*a33 *m1 *m2 *n1  *n2   - 36*a33 *m1 *m2 *n1  *n2 *n3

             2   2   9   13   6   4          2   2   9   11   10   2
    - 672*a33 *m1 *m2 *n1  *n2 *n3  + 812*a33 *m1 *m2 *n1  *n2  *n3

             2   2   9   11   8   4          2   2   9   11   6   6
    - 224*a33 *m1 *m2 *n1  *n2 *n3  - 448*a33 *m1 *m2 *n1  *n2 *n3

             2   2   9   9   14          2   2   9   9   12   2
    - 160*a33 *m1 *m2 *n1 *n2   + 188*a33 *m1 *m2 *n1 *n2  *n3

              2   2   9   9   10   4         2   2   9   9   8   6
    + 1312*a33 *m1 *m2 *n1 *n2  *n3  - 64*a33 *m1 *m2 *n1 *n2 *n3

            2   2   9   7   16          2   2   9   7   14   2
    - 20*a33 *m1 *m2 *n1 *n2   - 608*a33 *m1 *m2 *n1 *n2  *n3

             2   2   9   7   12   4          2   2   9   7   10   6
    + 368*a33 *m1 *m2 *n1 *n2  *n3  + 784*a33 *m1 *m2 *n1 *n2  *n3

            2   2   9   5   18          2   2   9   5   16   2
    + 40*a33 *m1 *m2 *n1 *n2   - 152*a33 *m1 *m2 *n1 *n2  *n3

             2   2   9   5   14   4         2   2   9   5   12   6
    - 688*a33 *m1 *m2 *n1 *n2  *n3  + 16*a33 *m1 *m2 *n1 *n2  *n3

            2   2   9   3   18   2          2   2   9   3   16   4
    + 96*a33 *m1 *m2 *n1 *n2  *n3  - 144*a33 *m1 *m2 *n1 *n2  *n3

             2   2   9   3   14   6         2   2   9      18   4
    - 336*a33 *m1 *m2 *n1 *n2  *n3  + 48*a33 *m1 *m2 *n1*n2  *n3

            2   2   9      16   6         2      10   16   7
    + 48*a33 *m1 *m2 *n1*n2  *n3  - 20*a33 *m1*m2  *n1  *n2

            2      10   14   9          2      10   14   7   2
    - 20*a33 *m1*m2  *n1  *n2  - 120*a33 *m1*m2  *n1  *n2 *n3

            2      10   12   11          2      10   12   9   2
    + 40*a33 *m1*m2  *n1  *n2   - 132*a33 *m1*m2  *n1  *n2 *n3

             2      10   12   7   4         2      10   10   13
    - 224*a33 *m1*m2  *n1  *n2 *n3  + 40*a33 *m1*m2  *n1  *n2

             2      10   10   11   2          2      10   10   9   4
    + 172*a33 *m1*m2  *n1  *n2  *n3  - 224*a33 *m1*m2  *n1  *n2 *n3

             2      10   10   7   6         2      10   8   15
    - 128*a33 *m1*m2  *n1  *n2 *n3  - 20*a33 *m1*m2  *n1 *n2

             2      10   8   13   2          2      10   8   11   4
    + 196*a33 *m1*m2  *n1 *n2  *n3  + 272*a33 *m1*m2  *n1 *n2  *n3

            2      10   8   9   6         2      10   6   17
    - 80*a33 *m1*m2  *n1 *n2 *n3  - 20*a33 *m1*m2  *n1 *n2

            2      10   6   15   2          2      10   6   13   4
    - 52*a33 *m1*m2  *n1 *n2  *n3  + 272*a33 *m1*m2  *n1 *n2  *n3

             2      10   6   11   6         2      10   4   17   2
    + 176*a33 *m1*m2  *n1 *n2  *n3  - 64*a33 *m1*m2  *n1 *n2  *n3

            2      10   4   15   4         2      10   4   13   6
    - 48*a33 *m1*m2  *n1 *n2  *n3  + 80*a33 *m1*m2  *n1 *n2  *n3

            2      10   2   17   4         2      10   2   15   6
    - 48*a33 *m1*m2  *n1 *n2  *n3  - 48*a33 *m1*m2  *n1 *n2  *n3

           2   11   15   8        2   11   13   10         2   11   13   8   2
    - 4*a33 *m2  *n1  *n2  - 8*a33 *m2  *n1  *n2   - 20*a33 *m2  *n1  *n2 *n3

            2   11   11   10   2         2   11   11   8   4
    - 36*a33 *m2  *n1  *n2  *n3  - 32*a33 *m2  *n1  *n2 *n3

           2   11   9   14        2   11   9   12   2
    + 8*a33 *m2  *n1 *n2   + 4*a33 *m2  *n1 *n2  *n3

            2   11   9   10   4         2   11   9   8   6
    - 48*a33 *m2  *n1 *n2  *n3  - 16*a33 *m2  *n1 *n2 *n3

           2   11   7   16         2   11   7   14   2
    + 4*a33 *m2  *n1 *n2   + 36*a33 *m2  *n1 *n2  *n3

            2   11   7   12   4         2   11   7   10   6
    + 16*a33 *m2  *n1 *n2  *n3  - 16*a33 *m2  *n1 *n2  *n3

            2   11   5   16   2         2   11   5   14   4
    + 16*a33 *m2  *n1 *n2  *n3  + 48*a33 *m2  *n1 *n2  *n3

            2   11   5   12   6         2   11   3   16   4
    + 16*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3

            2   11   3   14   6
    + 16*a33 *m2  *n1 *n2  *n3 )


          2   6      6   4   3             2   6      6   2   5
r21=(4*a33 *m1 *m2*n1 *n2 *n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   6      4   6   3             2   6      4   4   5
      + 4*a33 *m1 *m2*n1 *n2 *n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5   2   7   5                 2   5   2   7   3   3
      + 4*a33 *m1 *m2 *n1 *n2 *n3*r214 - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   7      5             2   5   2   5   7
      + 16*a33 *m1 *m2 *n1 *n2*n3 *r214 + 8*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   5   2   5   5   3              2   5   2   5   3   5
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   5   2   3   9                2   5   2   3   7   3
      + 4*a33 *m1 *m2 *n1 *n2 *n3*r214 + 4*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   3   5   5             2   5      8   3   3
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   5      8      5             2   5      6   5   3
      - 4*a33 *m1 *m2*n1 *n2*n3 *r216 + 4*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   5      6   3   5             2   5      4   7   3
      - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   5      4   5   5              2   4   3   8   4
      - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   3   8   2   3             2   4   3   8   5
      + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

              2   4   3   6   6                 2   4   3   6   4   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   3   6   2   5             2   4   3   4   8
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   3   4   6   3              2   4   3   4   4   5
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   3   2   10                 2   4   3   2   8   3
      + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   3   2   6   5             2   4   2   9   4
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2 *n1 *n2 *n3*r216

             2   4   2   9   2   3             2   4   2   9   5
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n3 *r216

             2   4   2   7   6                 2   4   2   7   4   3
      + 6*a33 *m1 *m2 *n1 *n2 *n3*r216 - 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   4   2   7   2   5             2   4   2   5   8
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3*r216

             2   4   2   5   6   3              2   4   2   5   4   5
      - 4*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   4   2   3   10                2   4   2   3   8   3
      + 2*a33 *m1 *m2 *n1 *n2  *n3*r216 + 2*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   3   6   5              2   3   4   9   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   3   4   9      3              2   3   4   7   3   3
      - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   7      5              2   3   4   5   7
      - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   3   4   5   5   3              2   3   4   5   3   5
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   3   9                 2   3   4   3   7   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   3   5   5             2   3   4      11
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3*r214

              2   3   4      9   3              2   3   4      7   5
      - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   3   3   10   3                2   3   3   10      3
      - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

             2   3   3   8   5                2   3   3   8   3   3
      - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   8      5              2   3   3   6   5   3
      + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   3   6   3   5             2   3   3   4   9
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   3   3   4   7   3              2   3   3   4   5   5
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   3   2   11                2   3   3   2   9   3
      + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   2   7   5             2   2   5   10   2
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   2   5   8   4                 2   2   5   8   2   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5   6   6                 2   2   5   6   4   3
      + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5   6   2   5              2   2   5   4   6   3
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5   4   4   5              2   2   5   2   10
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   2   5   2   8   3              2   2   5   2   6   5
      + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   5   10   3             2   2   5   8   5
      - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

             2   2   4   11   2                2   2   4   9   4
      + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   4   9   2   3              2   2   4   7   6
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   4   7   4   3              2   2   4   7   2   5
      + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   5   8                 2   2   4   5   6   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   5   4   5             2   2   4   3   10
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   2   4   3   8   3             2   2   4   3   6   5
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   4      12                 2   2   4      10   3
      + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   4      8   5             2      6   9   3
      - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r214

             2      6   7   5                 2      6   7   3   3
      - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   5   7                 2      6   5   5   3
      + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   5   3   5              2      6   3   9
      - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

              2      6   3   7   3              2      6   3   5   5
      + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6      9   3              2      6      7   5
      + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

             2      5   10   3                2      5   8   5
      + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

              2      5   8   3   3              2      5   6   5   3
      + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   6   3   5             2      5   4   9
      + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

              2      5   4   7   3              2      5   4   5   5
      + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      5   2   11                2      5   2   9   3
      - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      5   2   7   5             2      5   11   3
      + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

             2      5   9   5             2   7   8   4
      - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

             2   7   6   6                 2   7   6   4   3
      - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

             2   7   4   8                 2   7   4   6   3
      - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

             2   7   4   4   5             2   7   2   8   3
      - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   7   2   6   5             2   6   9   4
      - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *n3*r216

             2   6   7   6                2   6   7   4   3
      + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

             2   6   5   8                 2   6   5   6   3
      + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

             2   6   5   4   5             2   6   3   10
      + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

              2   6   3   8   3             2   6   3   6   5
      + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

             2   6      10   3             2   6      8   5
      + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

            6   9   4   3            6   9   2   5            6   5   8   3
      + 4*m1 *n1 *n2 *n3 *r496 - 8*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496

            6   5   6   5            5      10   5
      + 8*m1 *n1 *n2 *n3 *r496 + 4*m1 *m2*n1  *n2 *n3*r496

             5      10   3   3            5      10      5
      - 16*m1 *m2*n1  *n2 *n3 *r496 + 8*m1 *m2*n1  *n2*n3 *r496

            5      8   7               5      8   5   3
      + 4*m1 *m2*n1 *n2 *n3*r496 + 9*m1 *m2*n1 *n2 *n3 *r496

             5      8   3   5            5      6   9
      - 42*m1 *m2*n1 *n2 *n3 *r496 - 4*m1 *m2*n1 *n2 *n3*r496

             5      6   7   3             5      6   5   5
      + 18*m1 *m2*n1 *n2 *n3 *r496 - 12*m1 *m2*n1 *n2 *n3 *r496

            5      4   11               5      4   9   3
      - 4*m1 *m2*n1 *n2  *n3*r496 - 7*m1 *m2*n1 *n2 *n3 *r496

             5      4   7   5            4   2   11   4
      + 38*m1 *m2*n1 *n2 *n3 *r496 - 8*m1 *m2 *n1  *n2 *n3*r496

             4   2   11   2   3            4   2   11   5
      + 13*m1 *m2 *n1  *n2 *n3 *r496 - 2*m1 *m2 *n1  *n3 *r496

            4   2   9   6                4   2   9   4   3
      + 5*m1 *m2 *n1 *n2 *n3*r496 - 57*m1 *m2 *n1 *n2 *n3 *r496

             4   2   9   2   5             4   2   7   8
      + 36*m1 *m2 *n1 *n2 *n3 *r496 + 23*m1 *m2 *n1 *n2 *n3*r496

             4   2   7   6   3             4   2   7   4   5
      - 24*m1 *m2 *n1 *n2 *n3 *r496 - 90*m1 *m2 *n1 *n2 *n3 *r496

          4   2   5   10                4   2   5   8   3
      - m1 *m2 *n1 *n2  *n3*r496 + 55*m1 *m2 *n1 *n2 *n3 *r496

             4   2   5   6   5             4   2   3   12
      - 56*m1 *m2 *n1 *n2 *n3 *r496 - 11*m1 *m2 *n1 *n2  *n3*r496

            4   2   3   10   3             4   2   3   8   5
      + 9*m1 *m2 *n1 *n2  *n3 *r496 + 72*m1 *m2 *n1 *n2 *n3 *r496

            3   3   12   3               3   3   12      3
      + 5*m1 *m2 *n1  *n2 *n3*r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   3   10   5                3   3   10   3   3
      - 18*m1 *m2 *n1  *n2 *n3*r496 + 43*m1 *m2 *n1  *n2 *n3 *r496

            3   3   10      5             3   3   8   7
      - 8*m1 *m2 *n1  *n2*n3 *r496 - 14*m1 *m2 *n1 *n2 *n3*r496

             3   3   8   5   3             3   3   8   3   5
      - 74*m1 *m2 *n1 *n2 *n3 *r496 + 64*m1 *m2 *n1 *n2 *n3 *r496

             3   3   6   9                 3   3   6   7   3
      + 36*m1 *m2 *n1 *n2 *n3*r496 - 100*m1 *m2 *n1 *n2 *n3 *r496

              3   3   6   5   5             3   3   4   11
      - 100*m1 *m2 *n1 *n2 *n3 *r496 + 17*m1 *m2 *n1 *n2  *n3*r496

             3   3   4   9   3              3   3   4   7   5
      + 49*m1 *m2 *n1 *n2 *n3 *r496 - 104*m1 *m2 *n1 *n2 *n3 *r496

             3   3   2   13                3   3   2   11   3
      - 10*m1 *m2 *n1 *n2  *n3*r496 + 29*m1 *m2 *n1 *n2  *n3 *r496

             3   3   2   9   5          2   4   13   2
      + 68*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

             2   4   11   4               2   4   11   2   3
      + 11*m1 *m2 *n1  *n2 *n3*r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

             2   4   9   6                2   4   9   4   3
      - 11*m1 *m2 *n1 *n2 *n3*r496 + 51*m1 *m2 *n1 *n2 *n3 *r496

             2   4   9   2   5             2   4   7   8
      - 12*m1 *m2 *n1 *n2 *n3 *r496 - 32*m1 *m2 *n1 *n2 *n3*r496

             2   4   7   6   3             2   4   7   4   5
      - 40*m1 *m2 *n1 *n2 *n3 *r496 + 56*m1 *m2 *n1 *n2 *n3 *r496

             2   4   5   10                 2   4   5   8   3
      + 15*m1 *m2 *n1 *n2  *n3*r496 - 126*m1 *m2 *n1 *n2 *n3 *r496

             2   4   5   6   5             2   4   3   12
      - 60*m1 *m2 *n1 *n2 *n3 *r496 + 21*m1 *m2 *n1 *n2  *n3*r496

            2   4   3   10   3             2   4   3   8   5
      - 3*m1 *m2 *n1 *n2  *n3 *r496 - 96*m1 *m2 *n1 *n2 *n3 *r496

            2   4      14                2   4      12   3
      - 3*m1 *m2 *n1*n2  *n3*r496 + 23*m1 *m2 *n1*n2  *n3 *r496

             2   4      10   5               5   12   3
      + 32*m1 *m2 *n1*n2  *n3 *r496 - 2*m1*m2 *n1  *n2 *n3*r496

               5   10   5                  5   10   3   3
      + 7*m1*m2 *n1  *n2 *n3*r496 - 9*m1*m2 *n1  *n2 *n3 *r496

                5   8   5   3               5   8   3   5
      + 25*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                5   6   9                  5   6   7   3
      - 22*m1*m2 *n1 *n2 *n3*r496 - 6*m1*m2 *n1 *n2 *n3 *r496

                5   6   5   5               5   4   11
      + 24*m1*m2 *n1 *n2 *n3 *r496 - 6*m1*m2 *n1 *n2  *n3*r496

                5   4   9   3                5   4   7   5
      - 69*m1*m2 *n1 *n2 *n3 *r496 - 18*m1*m2 *n1 *n2 *n3 *r496

               5   2   13                   5   2   11   3
      + 7*m1*m2 *n1 *n2  *n3*r496 - 23*m1*m2 *n1 *n2  *n3 *r496

                5   2   9   5               5   13   3
      - 44*m1*m2 *n1 *n2 *n3 *r496 + 6*m1*m2 *n2  *n3 *r496

               5   11   5          6   11   4             6   9   6
      + 6*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *n3*r496 + m2 *n1 *n2 *n3*r496

            6   9   4   3          6   7   8               6   7   6   3
      - 3*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2 *n3*r496 + 4*m2 *n1 *n2 *n3 *r496

            6   7   4   5            6   5   10             6   5   8   3
      - 2*m2 *n1 *n2 *n3 *r496 - 5*m2 *n1 *n2  *n3*r496 + m2 *n1 *n2 *n3 *r496

            6   5   6   5            6   3   12
      + 4*m2 *n1 *n2 *n3 *r496 - 4*m2 *n1 *n2  *n3*r496

             6   3   10   3            6   3   8   5
      - 14*m2 *n1 *n2  *n3 *r496 - 2*m2 *n1 *n2 *n3 *r496

            6      12   3            6      10   5             2   5   9   4   2
      - 8*m2 *n1*n2  *n3 *r496 - 8*m2 *n1*n2  *n3 *r496)/(2*a33 *m1 *n1 *n2 *n3

           2   5   9   2   4        2   5   7   6   2        2   5   7   4   4
    - 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3

           2   5   5   8   2        2   5   5   6   4        2   5   3   10   2
    - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2  *n3

           2   5   3   8   4        2   4      10   5
    + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

            2   4      10   3   2        2   4      10      4
    - 10*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2*n3

           2   4      8   7         2   4      8   5   2
    + 4*a33 *m1 *m2*n1 *n2  - 10*a33 *m1 *m2*n1 *n2 *n3

           2   4      8   3   4         2   4      6   7   2
    - 4*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2 *n3

            2   4      6   5   4        2   4      4   11
    - 20*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

            2   4      4   9   2        2   4      4   7   4
    + 10*a33 *m1 *m2*n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2 *n3

           2   4      2   13         2   4      2   9   4
    - 2*a33 *m1 *m2*n1 *n2   + 12*a33 *m1 *m2*n1 *n2 *n3

           2   3   2   11   4         2   3   2   11   2   2
    - 6*a33 *m1 *m2 *n1  *n2  + 14*a33 *m1 *m2 *n1  *n2 *n3

           2   3   2   11   4         2   3   2   9   6
    - 4*a33 *m1 *m2 *n1  *n3  - 10*a33 *m1 *m2 *n1 *n2

           2   3   2   9   4   2         2   3   2   9   2   4
    + 2*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   7   8         2   3   2   7   6   2
    + 4*a33 *m1 *m2 *n1 *n2  - 32*a33 *m1 *m2 *n1 *n2 *n3

            2   3   2   7   4   4         2   3   2   5   10
    + 16*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

           2   3   2   5   8   2         2   3   2   5   6   4
    - 8*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   3   12         2   3   2   3   10   2
    + 2*a33 *m1 *m2 *n1 *n2   + 18*a33 *m1 *m2 *n1 *n2  *n3

            2   3   2   3   8   4        2   3   2      14
    - 12*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1*n2

           2   3   2      12   2         2   3   2      10   4
    + 6*a33 *m1 *m2 *n1*n2  *n3  + 12*a33 *m1 *m2 *n1*n2  *n3

           2   2   3   12   3        2   2   3   12      2
    + 6*a33 *m1 *m2 *n1  *n2  - 6*a33 *m1 *m2 *n1  *n2*n3

           2   2   3   10   5         2   2   3   10   3   2
    + 6*a33 *m1 *m2 *n1  *n2  + 18*a33 *m1 *m2 *n1  *n2 *n3

            2   2   3   10      4         2   2   3   8   7
    - 12*a33 *m1 *m2 *n1  *n2*n3  - 12*a33 *m1 *m2 *n1 *n2

            2   2   3   8   5   2         2   2   3   8   3   4
    + 36*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   9         2   2   3   6   7   2
    - 12*a33 *m1 *m2 *n1 *n2  - 16*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   5   4        2   2   3   4   11
    + 32*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

            2   2   3   4   9   2         2   2   3   4   7   4
    - 34*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   2   13        2   2   3   2   11   2
    + 6*a33 *m1 *m2 *n1 *n2   - 2*a33 *m1 *m2 *n1 *n2  *n3

            2   2   3   2   9   4        2   2   3   13   2
    - 20*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n2  *n3

           2   2   3   11   4        2      4   13   2        2      4   11   4
    + 4*a33 *m1 *m2 *n2  *n3  - 2*a33 *m1*m2 *n1  *n2  + 2*a33 *m1*m2 *n1  *n2

            2      4   11   2   2         2      4   9   6
    - 12*a33 *m1*m2 *n1  *n2 *n3  + 12*a33 *m1*m2 *n1 *n2

           2      4   9   4   2         2      4   9   2   4
    - 6*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   8         2      4   7   6   2
    + 4*a33 *m1*m2 *n1 *n2  + 26*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   4   4         2      4   5   10
    - 4*a33 *m1*m2 *n1 *n2 *n3  - 10*a33 *m1*m2 *n1 *n2

            2      4   5   8   2         2      4   5   6   4
    + 14*a33 *m1*m2 *n1 *n2 *n3  + 20*a33 *m1*m2 *n1 *n2 *n3

           2      4   3   12         2      4   3   10   2
    - 6*a33 *m1*m2 *n1 *n2   - 14*a33 *m1*m2 *n1 *n2  *n3

           2      4   3   8   4        2      4      12   2
    + 4*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1*n2  *n3

           2      4      10   4        2   5   12   3        2   5   10   5
    - 8*a33 *m1*m2 *n1*n2  *n3  - 2*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1  *n2

           2   5   10   3   2         2   5   8   5   2        2   5   8   3   4
    - 6*a33 *m2 *n1  *n2 *n3  - 10*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   6   9        2   5   6   7   2        2   5   6   5   4
    + 4*a33 *m2 *n1 *n2  + 2*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   4   11         2   5   4   9   2        2   5   4   7   4
    + 2*a33 *m2 *n1 *n2   + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   2   11   2        2   5   2   9   4
    + 4*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3 )


             2   11   8   5   2             2   11   8   3   4
r22=( - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

             2   11   6   7   2             2   11   6   5   4
      - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

             2   10      9   6              2   10      9   4   2
      - 4*a33 *m1  *m2*n1 *n2 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      9   2   4             2   10      7   8
      - 24*a33 *m1  *m2*n1 *n2 *n3 *r214 - 8*a33 *m1  *m2*n1 *n2 *r214

              2   10      7   6   2              2   10      7   4   4
      + 12*a33 *m1  *m2*n1 *n2 *n3 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

             2   10      5   10              2   10      5   8   2
      - 4*a33 *m1  *m2*n1 *n2  *r214 - 12*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      5   6   4             2   10   10   4   2
      + 48*a33 *m1  *m2*n1 *n2 *n3 *r214 - 2*a33 *m1  *n1  *n2 *n3 *r216

             2   10   10   2   4             2   10   8   6   2
      + 4*a33 *m1  *n1  *n2 *n3 *r216 - 4*a33 *m1  *n1 *n2 *n3 *r216

             2   10   8   4   4             2   10   6   8   2
      + 8*a33 *m1  *n1 *n2 *n3 *r216 - 2*a33 *m1  *n1 *n2 *n3 *r216

             2   10   6   6   4              2   9   2   10   5
      + 4*a33 *m1  *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

              2   9   2   10   3   2              2   9   2   10      4
      - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   9   2   8   7              2   9   2   8   5   2
      + 16*a33 *m1 *m2 *n1 *n2 *r214 + 44*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   8   3   4              2   9   2   6   9
      - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *r214

              2   9   2   6   7   2              2   9   2   6   5   4
      + 92*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9   2   4   11               2   9   2   4   7   4
      - 16*a33 *m1 *m2 *n1 *n2  *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   9      11   5              2   9      11   3   2
      - 2*a33 *m1 *m2*n1  *n2 *r216 + 10*a33 *m1 *m2*n1  *n2 *n3 *r216

             2   9      11      4             2   9      9   7
      - 8*a33 *m1 *m2*n1  *n2*n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

              2   9      9   5   2             2   9      9   3   4
      + 14*a33 *m1 *m2*n1 *n2 *n3 *r216 + 8*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   9      7   9             2   9      7   7   2
      - 6*a33 *m1 *m2*n1 *n2 *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   9      7   5   4             2   9      5   11
      + 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2  *r216

             2   9      5   9   2              2   9      5   7   4
      - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 + 24*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   8   3   11   4              2   8   3   11   2   2
      - 24*a33 *m1 *m2 *n1  *n2 *r214 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   8   3   11   4              2   8   3   9   6
      - 8*a33 *m1 *m2 *n1  *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   8   3   9   4   2               2   8   3   9   2   4
      - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   8   3   7   8              2   8   3   7   6   2
      + 72*a33 *m1 *m2 *n1 *n2 *r214 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   7   4   4              2   8   3   5   10
      - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   8   3   5   8   2               2   8   3   5   6   4
      + 148*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   8   3   3   12              2   8   3   3   10   2
      - 24*a33 *m1 *m2 *n1 *n2  *r214 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   3   3   8   4             2   8   2   12   4
      + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *r216

              2   8   2   12   2   2             2   8   2   12   4
      - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

              2   8   2   10   6              2   8   2   10   4   2
      + 10*a33 *m1 *m2 *n1  *n2 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   10   2   4             2   8   2   8   8
      - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2 *r216

              2   8   2   8   6   2              2   8   2   8   4   4
      + 66*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   8   2   6   10              2   8   2   6   8   2
      - 18*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   8   2   6   6   4             2   8   2   4   12
      + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

              2   8   2   4   8   4              2   7   4   12   3
      + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

              2   7   4   12      2              2   7   4   10   5
      - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   10   3   2              2   7   4   10      4
      + 132*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   7   4   8   7               2   7   4   8   5   2
      - 64*a33 *m1 *m2 *n1 *n2 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   8   3   4              2   7   4   6   9
      + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *r214

               2   7   4   6   7   2               2   7   4   6   5   4
      - 264*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   4   4   11              2   7   4   4   9   2
      + 48*a33 *m1 *m2 *n1 *n2  *r214 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   4   7   4              2   7   4   2   13
      - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

              2   7   4   2   11   2               2   7   4   2   9   4
      + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   7   3   13   3             2   7   3   13      2
      - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

             2   7   3   11   5              2   7   3   11   3   2
      + 4*a33 *m1 *m2 *n1  *n2 *r216 - 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   11      4              2   7   3   9   7
      + 16*a33 *m1 *m2 *n1  *n2*n3 *r216 + 36*a33 *m1 *m2 *n1 *n2 *r216

              2   7   3   9   5   2              2   7   3   9   3   4
      - 52*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   7   3   7   9              2   7   3   7   7   2
      + 24*a33 *m1 *m2 *n1 *n2 *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   7   3   7   5   4              2   7   3   5   11
      - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 14*a33 *m1 *m2 *n1 *n2  *r216

              2   7   3   5   9   2              2   7   3   5   7   4
      + 94*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   7   3   3   13              2   7   3   3   11   2
      - 12*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   3   3   9   4             2   6   5   13   2
      + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

              2   6   5   11   4              2   6   5   11   2   2
      + 32*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   6   5   11   4             2   6   5   9   6
      - 8*a33 *m1 *m2 *n1  *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   6   5   9   4   2              2   6   5   9   2   4
      + 124*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   6   5   7   8              2   6   5   7   6   2
      - 80*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   7   4   4             2   6   5   5   10
      + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

               2   6   5   5   8   2              2   6   5   5   6   4
      - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   6   5   3   12              2   6   5   3   10   2
      + 32*a33 *m1 *m2 *n1 *n2  *r214 - 44*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   3   8   4             2   6   5      14
      - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

              2   6   5      12   2              2   6   5      10   4
      + 36*a33 *m1 *m2 *n1*n2  *n3 *r214 + 48*a33 *m1 *m2 *n1*n2  *n3 *r214

             2   6   4   14   2              2   6   4   12   4
      + 2*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r216

              2   6   4   12   2   2             2   6   4   12   4
      + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

              2   6   4   10   6              2   6   4   10   4   2
      - 20*a33 *m1 *m2 *n1  *n2 *r216 - 46*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   4   10   2   4              2   6   4   8   8
      + 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r216

               2   6   4   8   6   2              2   6   4   8   4   4
      - 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   6   10             2   6   4   6   8   2
      + 42*a33 *m1 *m2 *n1 *n2  *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   6   6   4             2   6   4   4   12
      - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

              2   6   4   4   10   2              2   6   4   4   8   4
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   6   4   2   14              2   6   4   2   12   2
      - 8*a33 *m1 *m2 *n1 *n2  *r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   4   2   10   4              2   5   6   12      2
      + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   5   6   10   3   2              2   5   6   10      4
      + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   5   6   8   5   2               2   5   6   8   3   4
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   6   7   2              2   5   6   6   5   4
      - 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   4   9   2               2   5   6   4   7   4
      - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   2   11   2              2   5   6   2   9   4
      - 28*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   5   6   13   2             2   5   6   11   4
      + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

             2   5   5   13   3             2   5   5   13      2
      + 2*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

             2   5   5   11   5             2   5   5   11   3   2
      - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   11      4              2   5   5   9   7
      + 24*a33 *m1 *m2 *n1  *n2*n3 *r216 - 18*a33 *m1 *m2 *n1 *n2 *r216

              2   5   5   9   5   2             2   5   5   9   3   4
      - 46*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5   7   7   2              2   5   5   7   5   4
      - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5   5   11              2   5   5   5   9   2
      + 18*a33 *m1 *m2 *n1 *n2  *r216 - 42*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5   5   7   4             2   5   5   3   13
      - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

              2   5   5   3   11   2             2   5   5   3   9   4
      + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   5   5      15              2   5   5      13   2
      - 2*a33 *m1 *m2 *n1*n2  *r216 + 18*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   5   5      11   4             2   4   7   13   2
      + 24*a33 *m1 *m2 *n1*n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

              2   4   7   11   4              2   4   7   11   2   2
      + 32*a33 *m1 *m2 *n1  *n2 *r214 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   4   7   9   6               2   4   7   9   4   2
      - 4*a33 *m1 *m2 *n1 *n2 *r214 + 180*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   7   9   2   4              2   4   7   7   8
      - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *r214

               2   4   7   7   6   2               2   4   7   7   4   4
      + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   7   5   10               2   4   7   5   8   2
      - 4*a33 *m1 *m2 *n1 *n2  *r214 - 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   7   5   6   4              2   4   7   3   12
      + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *r214

              2   4   7   3   10   2               2   4   7   3   8   4
      - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   7      14              2   4   7      12   2
      - 4*a33 *m1 *m2 *n1*n2  *r214 + 12*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   4   7      10   4             2   4   6   14   2
      + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

             2   4   6   12   4              2   4   6   12   2   2
      - 6*a33 *m1 *m2 *n1  *n2 *r216 + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   6   10   6              2   4   6   10   2   4
      - 18*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   8   6   2              2   4   6   8   4   4
      - 100*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   6   10              2   4   6   6   8   2
      + 18*a33 *m1 *m2 *n1 *n2  *r216 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   6   6   4             2   4   6   4   12
      - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

             2   4   6   4   10   2              2   4   6   4   8   4
      - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   4   6   2   14             2   4   6   2   12   2
      - 2*a33 *m1 *m2 *n1 *n2  *r216 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   6   2   10   4             2   4   6   14   2
      + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

             2   4   6   12   4              2   3   8   12   3
      + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

              2   3   8   10   5               2   3   8   10   3   2
      + 48*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   3   8   8   7               2   3   8   8   5   2
      + 64*a33 *m1 *m2 *n1 *n2 *r214 + 140*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   8   3   4              2   3   8   6   9
      - 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *r214

               2   3   8   6   7   2               2   3   8   6   5   4
      + 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   8   4   11              2   3   8   4   9   2
      - 48*a33 *m1 *m2 *n1 *n2  *r214 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   4   7   4              2   3   8   2   13
      + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

              2   3   8   2   11   2               2   3   8   2   9   4
      - 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   8   13   2             2   3   8   11   4
      + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

             2   3   7   13   3             2   3   7   11   5
      + 8*a33 *m1 *m2 *n1  *n2 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r216

              2   3   7   11   3   2              2   3   7   9   7
      + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1 *n2 *r216

              2   3   7   9   5   2              2   3   7   9   3   4
      + 50*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   7   7   9               2   3   7   7   7   2
      - 24*a33 *m1 *m2 *n1 *n2 *r216 - 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   7   7   5   4              2   3   7   5   11
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2  *r216

               2   3   7   5   9   2              2   3   7   5   7   4
      - 108*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   7   3   13             2   3   7   3   11   2
      + 12*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   7   3   9   4             2   3   7      15
      - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *r216

              2   3   7      13   2              2   3   7      11   4
      + 10*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   9   11   4              2   2   9   9   6
      - 24*a33 *m1 *m2 *n1  *n2 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   2   9   9   4   2              2   2   9   7   8
      - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 72*a33 *m1 *m2 *n1 *n2 *r214

              2   2   9   7   6   2               2   2   9   7   4   4
      - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   9   5   10               2   2   9   5   8   2
      + 12*a33 *m1 *m2 *n1 *n2  *r214 + 172*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   9   5   6   4              2   2   9   3   12
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1 *n2  *r214

              2   2   9   3   10   2               2   2   9   3   8   4
      + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   9      12   2              2   2   9      10   4
      - 24*a33 *m1 *m2 *n1*n2  *n3 *r214 - 24*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   2   8   12   4              2   2   8   10   6
      + 12*a33 *m1 *m2 *n1  *n2 *r216 + 14*a33 *m1 *m2 *n1  *n2 *r216

              2   2   8   10   4   2              2   2   8   8   8
      + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *r216

              2   2   8   8   6   2              2   2   8   8   4   4
      + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   6   10              2   2   8   6   8   2
      - 36*a33 *m1 *m2 *n1 *n2  *r216 - 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   6   6   4             2   2   8   4   12
      + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

              2   2   8   4   10   2              2   2   8   4   8   4
      - 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   8   2   14              2   2   8   2   12   2
      + 6*a33 *m1 *m2 *n1 *n2  *r216 - 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   8   2   10   4             2   2   8   14   2
      - 36*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

             2   2   8   12   4              2      10   10   5
      + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1*m2  *n1  *n2 *r214

              2      10   8   7              2      10   8   5   2
      - 16*a33 *m1*m2  *n1 *n2 *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      10   6   9              2      10   6   7   2
      + 16*a33 *m1*m2  *n1 *n2 *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      10   6   5   4              2      10   4   11
      - 48*a33 *m1*m2  *n1 *n2 *n3 *r214 + 16*a33 *m1*m2  *n1 *n2  *r214

              2      10   4   9   2              2      10   4   7   4
      + 24*a33 *m1*m2  *n1 *n2 *n3 *r214 - 24*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      10   2   11   2              2      10   2   9   4
      + 24*a33 *m1*m2  *n1 *n2  *n3 *r214 + 24*a33 *m1*m2  *n1 *n2 *n3 *r214

             2      9   11   5              2      9   9   7
      + 8*a33 *m1*m2 *n1  *n2 *r216 + 18*a33 *m1*m2 *n1 *n2 *r216

              2      9   9   5   2             2      9   7   9
      + 30*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2 *r216

              2      9   7   7   2              2      9   7   5   4
      + 66*a33 *m1*m2 *n1 *n2 *n3 *r216 + 24*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9   5   11              2      9   5   9   2
      - 10*a33 *m1*m2 *n1 *n2  *r216 + 34*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9   5   7   4             2      9   3   13
      + 40*a33 *m1*m2 *n1 *n2 *n3 *r216 - 6*a33 *m1*m2 *n1 *n2  *r216

              2      9   3   11   2             2      9   3   9   4
      - 10*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      9      13   2             2      9      11   4
      - 8*a33 *m1*m2 *n1*n2  *n3 *r216 - 8*a33 *m1*m2 *n1*n2  *n3 *r216

             2   11   9   6             2   11   7   8
      - 4*a33 *m2  *n1 *n2 *r214 - 8*a33 *m2  *n1 *n2 *r214

              2   11   7   6   2             2   11   5   10
      - 12*a33 *m2  *n1 *n2 *n3 *r214 - 4*a33 *m2  *n1 *n2  *r214

              2   11   5   8   2             2   11   5   6   4
      - 20*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

             2   11   3   10   2             2   11   3   8   4
      - 8*a33 *m2  *n1 *n2  *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

             2   10   10   6             2   10   8   8
      + 2*a33 *m2  *n1  *n2 *r216 + 6*a33 *m2  *n1 *n2 *r216

             2   10   8   6   2             2   10   6   10
      + 6*a33 *m2  *n1 *n2 *n3 *r216 + 6*a33 *m2  *n1 *n2  *r216

              2   10   6   8   2             2   10   6   6   4
      + 16*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2 *n3 *r216

             2   10   4   12              2   10   4   10   2
      + 2*a33 *m2  *n1 *n2  *r216 + 14*a33 *m2  *n1 *n2  *n3 *r216

             2   10   4   8   4             2   10   2   12   2
      + 8*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2  *n3 *r216

             2   10   2   10   4            10   12   4   2
      + 4*a33 *m2  *n1 *n2  *n3 *r216 - 3*m1  *n1  *n2 *n3 *r496

            10   12   2   4            10   10   6   2
      + 6*m1  *n1  *n2 *n3 *r496 + 2*m1  *n1  *n2 *n3 *r496

            10   10   4   4            10   8   8   2
      - 4*m1  *n1  *n2 *n3 *r496 + 5*m1  *n1 *n2 *n3 *r496

             10   8   6   4            9      13   5
      - 10*m1  *n1 *n2 *n3 *r496 - 3*m1 *m2*n1  *n2 *r496

             9      13   3   2             9      13      4
      + 14*m1 *m2*n1  *n2 *n3 *r496 - 10*m1 *m2*n1  *n2*n3 *r496

          9      11   7             9      11   5   2
      - m1 *m2*n1  *n2 *r496 - 30*m1 *m2*n1  *n2 *n3 *r496

             9      11   3   4            9      9   9
      + 66*m1 *m2*n1  *n2 *n3 *r496 + 7*m1 *m2*n1 *n2 *r496

             9      9   7   2            9      9   5   4
      - 22*m1 *m2*n1 *n2 *n3 *r496 + 2*m1 *m2*n1 *n2 *n3 *r496

            9      7   11             9      7   9   2
      + 5*m1 *m2*n1 *n2  *r496 + 22*m1 *m2*n1 *n2 *n3 *r496

             9      7   7   4            8   2   14   4
      - 74*m1 *m2*n1 *n2 *n3 *r496 + 8*m1 *m2 *n1  *n2 *r496

             8   2   14   2   2            8   2   14   4
      - 17*m1 *m2 *n1  *n2 *n3 *r496 + 4*m1 *m2 *n1  *n3 *r496

             8   2   12   6              8   2   12   4   2
      - 21*m1 *m2 *n1  *n2 *r496 + 125*m1 *m2 *n1  *n2 *n3 *r496

              8   2   12   2   4             8   2   10   8
      - 100*m1 *m2 *n1  *n2 *n3 *r496 - 39*m1 *m2 *n1  *n2 *r496

             8   2   10   6   2              8   2   10   4   4
      - 36*m1 *m2 *n1  *n2 *n3 *r496 + 270*m1 *m2 *n1  *n2 *n3 *r496

             8   2   8   10              8   2   8   8   2
      + 17*m1 *m2 *n1 *n2  *r496 - 155*m1 *m2 *n1 *n2 *n3 *r496

              8   2   8   6   4             8   2   6   12
      + 136*m1 *m2 *n1 *n2 *n3 *r496 + 27*m1 *m2 *n1 *n2  *r496

             8   2   6   10   2              8   2   6   8   4
      + 23*m1 *m2 *n1 *n2  *n3 *r496 - 238*m1 *m2 *n1 *n2 *n3 *r496

            7   3   15   3            7   3   15      2
      - 7*m1 *m2 *n1  *n2 *r496 + 6*m1 *m2 *n1  *n2*n3 *r496

             7   3   13   5              7   3   13   3   2
      + 60*m1 *m2 *n1  *n2 *r496 - 148*m1 *m2 *n1  *n2 *n3 *r496

             7   3   13      4            7   3   11   7
      + 38*m1 *m2 *n1  *n2*n3 *r496 - 6*m1 *m2 *n1  *n2 *r496

              7   3   11   5   2              7   3   11   3   4
      + 388*m1 *m2 *n1  *n2 *n3 *r496 - 416*m1 *m2 *n1  *n2 *n3 *r496

              7   3   9   9              7   3   9   7   2
      - 160*m1 *m2 *n1 *n2 *r496 + 240*m1 *m2 *n1 *n2 *n3 *r496

              7   3   9   5   4             7   3   7   11
      + 540*m1 *m2 *n1 *n2 *n3 *r496 - 27*m1 *m2 *n1 *n2  *r496

              7   3   7   9   2              7   3   7   7   4
      - 346*m1 *m2 *n1 *n2 *n3 *r496 + 560*m1 *m2 *n1 *n2 *n3 *r496

             7   3   5   13             7   3   5   11   2
      + 60*m1 *m2 *n1 *n2  *r496 - 44*m1 *m2 *n1 *n2  *n3 *r496

              7   3   5   9   4            6   4   16   2
      - 434*m1 *m2 *n1 *n2 *n3 *r496 + 2*m1 *m2 *n1  *n2 *r496

             6   4   14   4             6   4   14   2   2
      - 53*m1 *m2 *n1  *n2 *r496 + 51*m1 *m2 *n1  *n2 *n3 *r496

              6   4   12   6              6   4   12   4   2
      + 146*m1 *m2 *n1  *n2 *r496 - 515*m1 *m2 *n1  *n2 *n3 *r496

              6   4   12   2   4              6   4   10   8
      + 154*m1 *m2 *n1  *n2 *n3 *r496 + 174*m1 *m2 *n1  *n2 *r496

              6   4   10   6   2              6   4   10   4   4
      + 482*m1 *m2 *n1  *n2 *n3 *r496 - 952*m1 *m2 *n1  *n2 *n3 *r496

              6   4   8   10              6   4   8   8   2
      - 242*m1 *m2 *n1 *n2  *r496 + 888*m1 *m2 *n1 *n2 *n3 *r496

              6   4   8   6   4              6   4   6   12
      + 504*m1 *m2 *n1 *n2 *n3 *r496 - 145*m1 *m2 *n1 *n2  *r496

              6   4   6   10   2               6   4   6   8   4
      - 305*m1 *m2 *n1 *n2  *n3 *r496 + 1120*m1 *m2 *n1 *n2 *n3 *r496

             6   4   4   14              6   4   4   12   2
      + 70*m1 *m2 *n1 *n2  *r496 - 145*m1 *m2 *n1 *n2  *n3 *r496

              6   4   4   10   4             5   5   15   3
      - 490*m1 *m2 *n1 *n2  *n3 *r496 + 15*m1 *m2 *n1  *n2 *r496

              5   5   13   5              5   5   13   3   2
      - 153*m1 *m2 *n1  *n2 *r496 + 180*m1 *m2 *n1  *n2 *n3 *r496

              5   5   11   7              5   5   11   5   2
      + 109*m1 *m2 *n1  *n2 *r496 - 934*m1 *m2 *n1  *n2 *n3 *r496

              5   5   11   3   4              5   5   9   9
      + 350*m1 *m2 *n1  *n2 *n3 *r496 + 432*m1 *m2 *n1 *n2 *r496

             5   5   9   7   2               5   5   9   5   4
      - 20*m1 *m2 *n1 *n2 *n3 *r496 - 1316*m1 *m2 *n1 *n2 *n3 *r496

              5   5   7   11               5   5   7   9   2
      - 105*m1 *m2 *n1 *n2  *r496 + 1296*m1 *m2 *n1 *n2 *n3 *r496

              5   5   5   13             5   5   5   11   2
      - 215*m1 *m2 *n1 *n2  *r496 + 32*m1 *m2 *n1 *n2  *n3 *r496

               5   5   5   9   4             5   5   3   15
      + 1316*m1 *m2 *n1 *n2 *n3 *r496 + 45*m1 *m2 *n1 *n2  *r496

              5   5   3   13   2              5   5   3   11   4
      - 170*m1 *m2 *n1 *n2  *n3 *r496 - 350*m1 *m2 *n1 *n2  *n3 *r496

             4   6   14   4              4   6   12   6
      + 45*m1 *m2 *n1  *n2 *r496 - 215*m1 *m2 *n1  *n2 *r496

              4   6   12   4   2              4   6   10   8
      + 345*m1 *m2 *n1  *n2 *n3 *r496 - 105*m1 *m2 *n1  *n2 *r496

              4   6   10   6   2              4   6   10   4   4
      - 935*m1 *m2 *n1  *n2 *n3 *r496 + 490*m1 *m2 *n1  *n2 *n3 *r496

              4   6   8   10              4   6   8   8   2
      + 432*m1 *m2 *n1 *n2  *r496 - 736*m1 *m2 *n1 *n2 *n3 *r496

               4   6   8   6   4              4   6   6   12
      - 1120*m1 *m2 *n1 *n2 *n3 *r496 + 109*m1 *m2 *n1 *n2  *r496

              4   6   6   10   2              4   6   6   8   4
      + 930*m1 *m2 *n1 *n2  *n3 *r496 - 504*m1 *m2 *n1 *n2 *n3 *r496

              4   6   4   14              4   6   4   12   2
      - 153*m1 *m2 *n1 *n2  *r496 + 283*m1 *m2 *n1 *n2  *n3 *r496

              4   6   4   10   4             4   6   2   16
      + 952*m1 *m2 *n1 *n2  *n3 *r496 + 15*m1 *m2 *n1 *n2  *r496

              4   6   2   14   2              4   6   2   12   4
      - 103*m1 *m2 *n1 *n2  *n3 *r496 - 154*m1 *m2 *n1 *n2  *n3 *r496

             3   7   13   5              3   7   11   7
      + 70*m1 *m2 *n1  *n2 *r496 - 145*m1 *m2 *n1  *n2 *r496

              3   7   11   5   2              3   7   9   9
      + 390*m1 *m2 *n1  *n2 *n3 *r496 - 242*m1 *m2 *n1 *n2 *r496

              3   7   9   7   2              3   7   9   5   4
      - 472*m1 *m2 *n1 *n2 *n3 *r496 + 434*m1 *m2 *n1 *n2 *n3 *r496

              3   7   7   11              3   7   7   9   2
      + 174*m1 *m2 *n1 *n2  *r496 - 860*m1 *m2 *n1 *n2 *n3 *r496

              3   7   7   7   4              3   7   5   13
      - 560*m1 *m2 *n1 *n2 *n3 *r496 + 146*m1 *m2 *n1 *n2  *r496

              3   7   5   11   2              3   7   5   9   4
      + 264*m1 *m2 *n1 *n2  *n3 *r496 - 540*m1 *m2 *n1 *n2 *n3 *r496

             3   7   3   15              3   7   3   13   2
      - 53*m1 *m2 *n1 *n2  *r496 + 230*m1 *m2 *n1 *n2  *n3 *r496

              3   7   3   11   4            3   7      17
      + 416*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n1*n2  *r496

             3   7      15   2             3   7      13   4
      - 32*m1 *m2 *n1*n2  *n3 *r496 - 38*m1 *m2 *n1*n2  *n3 *r496

             2   8   12   6             2   8   10   8
      + 60*m1 *m2 *n1  *n2 *r496 - 27*m1 *m2 *n1  *n2 *r496

              2   8   10   6   2              2   8   8   10
      + 261*m1 *m2 *n1  *n2 *n3 *r496 - 160*m1 *m2 *n1 *n2  *r496

             2   8   8   8   2              2   8   8   6   4
      - 53*m1 *m2 *n1 *n2 *n3 *r496 + 238*m1 *m2 *n1 *n2 *n3 *r496

            2   8   6   12              2   8   6   10   2
      - 6*m1 *m2 *n1 *n2  *r496 - 442*m1 *m2 *n1 *n2  *n3 *r496

              2   8   6   8   4             2   8   4   14
      - 136*m1 *m2 *n1 *n2 *n3 *r496 + 60*m1 *m2 *n1 *n2  *r496

             2   8   4   12   2              2   8   4   10   4
      - 45*m1 *m2 *n1 *n2  *n3 *r496 - 270*m1 *m2 *n1 *n2  *n3 *r496

            2   8   2   16             2   8   2   14   2
      - 7*m1 *m2 *n1 *n2  *r496 + 79*m1 *m2 *n1 *n2  *n3 *r496

              2   8   2   12   4            2   8   16   2
      + 100*m1 *m2 *n1 *n2  *n3 *r496 - 4*m1 *m2 *n2  *n3 *r496

            2   8   14   4                9   11   7
      - 4*m1 *m2 *n2  *n3 *r496 + 27*m1*m2 *n1  *n2 *r496

                9   9   9                9   9   7   2
      + 17*m1*m2 *n1 *n2 *r496 + 96*m1*m2 *n1 *n2 *n3 *r496

                9   7   11                9   7   9   2
      - 39*m1*m2 *n1 *n2  *r496 + 50*m1*m2 *n1 *n2 *n3 *r496

                9   7   7   4                9   5   13
      + 74*m1*m2 *n1 *n2 *n3 *r496 - 21*m1*m2 *n1 *n2  *r496

                9   5   11   2               9   5   9   4
      - 98*m1*m2 *n1 *n2  *n3 *r496 - 2*m1*m2 *n1 *n2 *n3 *r496

               9   3   15                9   3   13   2
      + 8*m1*m2 *n1 *n2  *r496 - 42*m1*m2 *n1 *n2  *n3 *r496

                9   3   11   4                9      15   2
      - 66*m1*m2 *n1 *n2  *n3 *r496 + 10*m1*m2 *n1*n2  *n3 *r496

                9      13   4            10   10   8            10   8   10
      + 10*m1*m2 *n1*n2  *n3 *r496 + 5*m2  *n1  *n2 *r496 + 7*m2  *n1 *n2  *r496

             10   8   8   2          10   6   12
      + 15*m2  *n1 *n2 *n3 *r496 - m2  *n1 *n2  *r496

             10   6   10   2             10   6   8   4
      + 16*m2  *n1 *n2  *n3 *r496 + 10*m2  *n1 *n2 *n3 *r496

            10   4   14            10   4   12   2
      - 3*m2  *n1 *n2  *r496 - 5*m2  *n1 *n2  *n3 *r496

            10   4   10   4            10   2   14   2
      + 4*m2  *n1 *n2  *n3 *r496 - 6*m2  *n1 *n2  *n3 *r496

            10   2   12   4             2   9   10   5   2
      - 6*m2  *n1 *n2  *n3 *r496)/(4*a33 *m1 *n1  *n2 *n3

           2   9   10   3   4        2   9   8   7   2         2   9   8   5   4
    - 8*a33 *m1 *n1  *n2 *n3  + 8*a33 *m1 *n1 *n2 *n3  - 16*a33 *m1 *n1 *n2 *n3

           2   9   6   9   2        2   9   6   7   4        2   8      11   6
    + 4*a33 *m1 *n1 *n2 *n3  - 8*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *m2*n1  *n2

            2   8      11   4   2         2   8      11   2   4
    - 24*a33 *m1 *m2*n1  *n2 *n3  + 24*a33 *m1 *m2*n1  *n2 *n3

            2   8      9   8         2   8      9   6   2
    + 12*a33 *m1 *m2*n1 *n2  - 36*a33 *m1 *m2*n1 *n2 *n3

            2   8      7   10         2   8      7   6   4
    + 12*a33 *m1 *m2*n1 *n2   - 72*a33 *m1 *m2*n1 *n2 *n3

           2   8      5   12         2   8      5   10   2
    + 4*a33 *m1 *m2*n1 *n2   + 12*a33 *m1 *m2*n1 *n2  *n3

            2   8      5   8   4         2   7   2   12   5
    - 48*a33 *m1 *m2*n1 *n2 *n3  - 16*a33 *m1 *m2 *n1  *n2

            2   7   2   12   3   2         2   7   2   12      4
    + 48*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2*n3

            2   7   2   10   7         2   7   2   10   3   4
    - 32*a33 *m1 *m2 *n1  *n2  + 96*a33 *m1 *m2 *n1  *n2 *n3

             2   7   2   8   7   2          2   7   2   8   5   4
    - 144*a33 *m1 *m2 *n1 *n2 *n3  + 144*a33 *m1 *m2 *n1 *n2 *n3

            2   7   2   6   11         2   7   2   6   9   2
    + 32*a33 *m1 *m2 *n1 *n2   - 96*a33 *m1 *m2 *n1 *n2 *n3

            2   7   2   6   7   4         2   7   2   4   13
    - 96*a33 *m1 *m2 *n1 *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2

             2   7   2   4   9   4         2   6   3   13   4
    - 120*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2

            2   6   3   13   2   2        2   6   3   13   4
    - 40*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n3

           2   6   3   11   6          2   6   3   11   4   2
    + 8*a33 *m1 *m2 *n1  *n2  + 136*a33 *m1 *m2 *n1  *n2 *n3

             2   6   3   11   2   4         2   6   3   9   8
    - 128*a33 *m1 *m2 *n1  *n2 *n3  - 96*a33 *m1 *m2 *n1 *n2

             2   6   3   9   6   2         2   6   3   9   4   4
    + 272*a33 *m1 *m2 *n1 *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2 *n3

            2   6   3   7   10         2   6   3   7   8   2
    - 96*a33 *m1 *m2 *n1 *n2   - 64*a33 *m1 *m2 *n1 *n2 *n3

             2   6   3   7   6   4        2   6   3   5   12
    + 416*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

             2   6   3   5   10   2         2   6   3   5   8   4
    - 200*a33 *m1 *m2 *n1 *n2  *n3  + 40*a33 *m1 *m2 *n1 *n2 *n3

            2   6   3   3   14         2   6   3   3   12   2
    + 24*a33 *m1 *m2 *n1 *n2   - 40*a33 *m1 *m2 *n1 *n2  *n3

             2   6   3   3   10   4         2   5   4   14   3
    - 160*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1  *n2

            2   5   4   14      2         2   5   4   12   5
    + 12*a33 *m1 *m2 *n1  *n2*n3  + 48*a33 *m1 *m2 *n1  *n2

             2   5   4   12   3   2         2   5   4   12      4
    - 168*a33 *m1 *m2 *n1  *n2 *n3  + 48*a33 *m1 *m2 *n1  *n2*n3

             2   5   4   10   7         2   5   4   10   5   2
    + 144*a33 *m1 *m2 *n1  *n2  - 12*a33 *m1 *m2 *n1  *n2 *n3

             2   5   4   10   3   4          2   5   4   8   7   2
    - 264*a33 *m1 *m2 *n1  *n2 *n3  + 528*a33 *m1 *m2 *n1 *n2 *n3

             2   5   4   8   5   4          2   5   4   6   11
    - 192*a33 *m1 *m2 *n1 *n2 *n3  - 144*a33 *m1 *m2 *n1 *n2

             2   5   4   6   9   2          2   5   4   6   7   4
    + 300*a33 *m1 *m2 *n1 *n2 *n3  + 480*a33 *m1 *m2 *n1 *n2 *n3

            2   5   4   4   13          2   5   4   4   11   2
    - 48*a33 *m1 *m2 *n1 *n2   - 120*a33 *m1 *m2 *n1 *n2  *n3

             2   5   4   4   9   4         2   5   4   2   15
    + 240*a33 *m1 *m2 *n1 *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2

            2   5   4   2   13   2          2   5   4   2   11   4
    - 60*a33 *m1 *m2 *n1 *n2  *n3  - 120*a33 *m1 *m2 *n1 *n2  *n3

           2   4   5   15   2         2   4   5   13   4
    + 4*a33 *m1 *m2 *n1  *n2  - 52*a33 *m1 *m2 *n1  *n2

            2   4   5   13   2   2         2   4   5   11   6
    + 60*a33 *m1 *m2 *n1  *n2 *n3  - 36*a33 *m1 *m2 *n1  *n2

             2   4   5   11   4   2          2   4   5   11   2   4
    - 240*a33 *m1 *m2 *n1  *n2 *n3  + 120*a33 *m1 *m2 *n1  *n2 *n3

             2   4   5   9   8          2   4   5   9   6   2
    + 180*a33 *m1 *m2 *n1 *n2  - 420*a33 *m1 *m2 *n1 *n2 *n3

             2   4   5   9   4   4          2   4   5   7   10
    - 240*a33 *m1 *m2 *n1 *n2 *n3  + 180*a33 *m1 *m2 *n1 *n2

             2   4   5   7   8   2          2   4   5   7   6   4
    + 240*a33 *m1 *m2 *n1 *n2 *n3  - 480*a33 *m1 *m2 *n1 *n2 *n3

            2   4   5   5   12          2   4   5   5   10   2
    - 36*a33 *m1 *m2 *n1 *n2   + 444*a33 *m1 *m2 *n1 *n2  *n3

             2   4   5   5   8   4         2   4   5   3   14
    + 192*a33 *m1 *m2 *n1 *n2 *n3  - 52*a33 *m1 *m2 *n1 *n2

            2   4   5   3   12   2          2   4   5   3   10   4
    + 48*a33 *m1 *m2 *n1 *n2  *n3  + 264*a33 *m1 *m2 *n1 *n2  *n3

           2   4   5      16         2   4   5      14   2
    + 4*a33 *m1 *m2 *n1*n2   - 36*a33 *m1 *m2 *n1*n2  *n3

            2   4   5      12   4         2   3   6   14   3
    - 48*a33 *m1 *m2 *n1*n2  *n3  + 16*a33 *m1 *m2 *n1  *n2

            2   3   6   12   5          2   3   6   12   3   2
    - 48*a33 *m1 *m2 *n1  *n2  + 120*a33 *m1 *m2 *n1  *n2 *n3

             2   3   6   10   7         2   3   6   10   5   2
    - 144*a33 *m1 *m2 *n1  *n2  - 80*a33 *m1 *m2 *n1  *n2 *n3

             2   3   6   10   3   4          2   3   6   8   7   2
    + 160*a33 *m1 *m2 *n1  *n2 *n3  - 520*a33 *m1 *m2 *n1 *n2 *n3

            2   3   6   8   5   4          2   3   6   6   11
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 144*a33 *m1 *m2 *n1 *n2

             2   3   6   6   9   2          2   3   6   6   7   4
    - 224*a33 *m1 *m2 *n1 *n2 *n3  - 416*a33 *m1 *m2 *n1 *n2 *n3

            2   3   6   4   13          2   3   6   4   11   2
    + 48*a33 *m1 *m2 *n1 *n2   + 184*a33 *m1 *m2 *n1 *n2  *n3

            2   3   6   4   9   4         2   3   6   2   15
    - 80*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2

            2   3   6   2   13   2          2   3   6   2   11   4
    + 80*a33 *m1 *m2 *n1 *n2  *n3  + 128*a33 *m1 *m2 *n1 *n2  *n3

           2   3   6   15   2        2   3   6   13   4
    - 8*a33 *m1 *m2 *n2  *n3  - 8*a33 *m1 *m2 *n2  *n3

            2   2   7   13   4        2   2   7   11   6
    + 24*a33 *m1 *m2 *n1  *n2  + 8*a33 *m1 *m2 *n1  *n2

             2   2   7   11   4   2         2   2   7   9   8
    + 120*a33 *m1 *m2 *n1  *n2 *n3  - 96*a33 *m1 *m2 *n1 *n2

             2   2   7   9   6   2          2   2   7   9   4   4
    + 120*a33 *m1 *m2 *n1 *n2 *n3  + 120*a33 *m1 *m2 *n1 *n2 *n3

            2   2   7   7   10          2   2   7   7   8   2
    - 96*a33 *m1 *m2 *n1 *n2   - 192*a33 *m1 *m2 *n1 *n2 *n3

            2   2   7   7   6   4        2   2   7   5   12
    + 96*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

             2   2   7   5   10   2          2   2   7   5   8   4
    - 240*a33 *m1 *m2 *n1 *n2  *n3  - 144*a33 *m1 *m2 *n1 *n2 *n3

            2   2   7   3   14         2   2   7   3   12   2
    + 24*a33 *m1 *m2 *n1 *n2   - 24*a33 *m1 *m2 *n1 *n2  *n3

            2   2   7   3   10   4         2   2   7      14   2
    - 96*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1*n2  *n3

            2   2   7      12   4         2      8   12   5
    + 24*a33 *m1 *m2 *n1*n2  *n3  + 16*a33 *m1*m2 *n1  *n2

            2      8   10   7         2      8   10   5   2
    + 32*a33 *m1*m2 *n1  *n2  + 60*a33 *m1*m2 *n1  *n2 *n3

             2      8   8   7   2         2      8   8   5   4
    + 120*a33 *m1*m2 *n1 *n2 *n3  + 48*a33 *m1*m2 *n1 *n2 *n3

            2      8   6   11         2      8   6   9   2
    - 32*a33 *m1*m2 *n1 *n2   + 36*a33 *m1*m2 *n1 *n2 *n3

            2      8   6   7   4         2      8   4   13
    + 72*a33 *m1*m2 *n1 *n2 *n3  - 16*a33 *m1*m2 *n1 *n2

            2      8   4   11   2         2      8   2   13   2
    - 48*a33 *m1*m2 *n1 *n2  *n3  - 24*a33 *m1*m2 *n1 *n2  *n3

            2      8   2   11   4        2   9   11   6         2   9   9   8
    - 24*a33 *m1*m2 *n1 *n2  *n3  + 4*a33 *m2 *n1  *n2  + 12*a33 *m2 *n1 *n2

            2   9   9   6   2         2   9   7   10         2   9   7   8   2
    + 12*a33 *m2 *n1 *n2 *n3  + 12*a33 *m2 *n1 *n2   + 32*a33 *m2 *n1 *n2 *n3

           2   9   7   6   4        2   9   5   12         2   9   5   10   2
    + 8*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2   + 28*a33 *m2 *n1 *n2  *n3

            2   9   5   8   4        2   9   3   12   2
    + 16*a33 *m2 *n1 *n2 *n3  + 8*a33 *m2 *n1 *n2  *n3

           2   9   3   10   4
    + 8*a33 *m2 *n1 *n2  *n3 )


          2   7   6   4   3             2   7   6   2   5
r23=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   7   4   6   3             2   7   4   4   5
      + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6      7   5                 2   6      7   3   3
      + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   6      7      5             2   6      5   7
      + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

              2   6      5   5   3              2   6      5   3   5
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   6      3   9                2   6      3   7   3
      + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   6      3   5   5             2   6   8   3   3
      - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

             2   6   8      5             2   6   6   5   3
      - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

             2   6   6   3   5             2   6   4   7   3
      - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

             2   6   4   5   5              2   5   2   8   4
      - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   5   2   8   2   3             2   5   2   8   5
      + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

              2   5   2   6   6                 2   5   2   6   4   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   6   2   5             2   5   2   4   8
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   5   2   4   6   3              2   5   2   4   4   5
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   5   2   2   10                 2   5   2   2   8   3
      + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   2   6   5             2   5      9   4
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3*r216

             2   5      9   2   3             2   5      9   5
      - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

             2   5      7   6                 2   5      7   4   3
      + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   5      7   2   5             2   5      5   8
      - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

             2   5      5   6   3              2   5      5   4   5
      - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   5      3   10                2   5      3   8   3
      + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      3   6   5              2   4   3   9   3
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   3   9      3              2   4   3   7   3   3
      - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   3   7      5              2   4   3   5   7
      - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   3   5   5   3              2   4   3   5   3   5
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   3   3   9                 2   4   3   3   7   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   3   3   5   5             2   4   3      11
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3*r214

              2   4   3      9   3              2   4   3      7   5
      - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   4   2   10   3                2   4   2   10      3
      - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

             2   4   2   8   5                2   4   2   8   3   3
      - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   8      5              2   4   2   6   5   3
      + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   4   2   6   3   5             2   4   2   4   9
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   4   2   4   7   3              2   4   2   4   5   5
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   4   2   2   11                2   4   2   2   9   3
      + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   2   7   5             2   3   4   10   2
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   3   4   8   4                 2   3   4   8   2   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   6   6                 2   3   4   6   4   3
      + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   6   2   5              2   3   4   4   6   3
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   4   4   5              2   3   4   2   10
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   3   4   2   8   3              2   3   4   2   6   5
      + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   4   10   3             2   3   4   8   5
      - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

             2   3   3   11   2                2   3   3   9   4
      + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   3   3   9   2   3              2   3   3   7   6
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   3   3   7   4   3              2   3   3   7   2   5
      + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   5   8                 2   3   3   5   6   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   5   4   5             2   3   3   3   10
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   3   3   3   8   3             2   3   3   3   6   5
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   3      12                 2   3   3      10   3
      + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   3   3      8   5             2   2   5   9   3
      - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3*r214

             2   2   5   7   5                 2   2   5   7   3   3
      - 4*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5   5   7                 2   2   5   5   5   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5   5   3   5              2   2   5   3   9
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   2   5   3   7   3              2   2   5   3   5   5
      + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5      9   3              2   2   5      7   5
      + 16*a33 *m1 *m2 *n1*n2 *n3 *r214 + 16*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   2   4   10   3                2   2   4   8   5
      + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   4   8   3   3              2   2   4   6   5   3
      + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   6   3   5             2   2   4   4   9
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   4   4   7   3              2   2   4   4   5   5
      + 22*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   4   2   11                2   2   4   2   9   3
      - 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 4*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   4   2   7   5             2   2   4   11   3
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n2  *n3 *r216

             2   2   4   9   5             2      6   8   4
      - 4*a33 *m1 *m2 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1 *n2 *n3*r214

             2      6   6   6                 2      6   6   4   3
      - 8*a33 *m1*m2 *n1 *n2 *n3*r214 - 12*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      6   4   8                 2      6   4   6   3
      - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 20*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      6   4   4   5             2      6   2   8   3
      - 8*a33 *m1*m2 *n1 *n2 *n3 *r214 - 8*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      6   2   6   5             2      5   9   4
      - 8*a33 *m1*m2 *n1 *n2 *n3 *r214 + 2*a33 *m1*m2 *n1 *n2 *n3*r216

             2      5   7   6                2      5   7   4   3
      + 6*a33 *m1*m2 *n1 *n2 *n3*r216 + 6*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      5   5   8                 2      5   5   6   3
      + 6*a33 *m1*m2 *n1 *n2 *n3*r216 + 16*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      5   5   4   5             2      5   3   10
      + 4*a33 *m1*m2 *n1 *n2 *n3 *r216 + 2*a33 *m1*m2 *n1 *n2  *n3*r216

              2      5   3   8   3             2      5   3   6   5
      + 14*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      5      10   3             2      5      8   5
      + 4*a33 *m1*m2 *n1*n2  *n3 *r216 + 4*a33 *m1*m2 *n1*n2 *n3 *r216

            6   10   3   3            6   10      5          6   8   5   3
      + 4*m1 *n1  *n2 *n3 *r496 - 8*m1 *n1  *n2*n3 *r496 + m1 *n1 *n2 *n3 *r496

            6   8   3   5            6   6   7   3            6   6   5   5
      - 2*m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 4*m1 *n1 *n2 *n3 *r496

          6   4   9   3            6   4   7   5
      + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

            5      11   4                5      11   2   3
      + 4*m1 *m2*n1  *n2 *n3*r496 - 15*m1 *m2*n1  *n2 *n3 *r496

            5      11   5            5      9   6
      + 6*m1 *m2*n1  *n3 *r496 + 5*m1 *m2*n1 *n2 *n3*r496

            5      9   4   3             5      9   2   5
      + 7*m1 *m2*n1 *n2 *n3 *r496 - 44*m1 *m2*n1 *n2 *n3 *r496

          5      7   8                5      7   6   3
      - m1 *m2*n1 *n2 *n3*r496 + 12*m1 *m2*n1 *n2 *n3 *r496

             5      7   4   5          5      5   10
      - 18*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *n3*r496

            5      5   8   3             5      5   6   5
      - 9*m1 *m2*n1 *n2 *n3 *r496 + 24*m1 *m2*n1 *n2 *n3 *r496

          5      3   12             5      3   10   3
      + m1 *m2*n1 *n2  *n3*r496 + m1 *m2*n1 *n2  *n3 *r496

            5      3   8   5            4   2   12   3
      - 8*m1 *m2*n1 *n2 *n3 *r496 - 7*m1 *m2 *n1  *n2 *n3*r496

            4   2   12      3            4   2   10   5
      + 9*m1 *m2 *n1  *n2*n3 *r496 + 6*m1 *m2 *n1  *n2 *n3*r496

             4   2   10   3   3             4   2   10      5
      - 61*m1 *m2 *n1  *n2 *n3 *r496 + 32*m1 *m2 *n1  *n2*n3 *r496

             4   2   8   7                4   2   8   5   3
      + 22*m1 *m2 *n1 *n2 *n3*r496 - 30*m1 *m2 *n1 *n2 *n3 *r496

             4   2   8   3   5             4   2   6   7   3
      - 96*m1 *m2 *n1 *n2 *n3 *r496 + 36*m1 *m2 *n1 *n2 *n3 *r496

             4   2   6   5   5            4   2   4   11
      - 60*m1 *m2 *n1 *n2 *n3 *r496 - 7*m1 *m2 *n1 *n2  *n3*r496

            4   2   4   9   3             4   2   4   7   5
      - 7*m1 *m2 *n1 *n2 *n3 *r496 + 56*m1 *m2 *n1 *n2 *n3 *r496

            4   2   2   13               4   2   2   11   3
      + 2*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

             4   2   2   9   5            3   3   13   2
      - 12*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1  *n2 *n3*r496

             3   3   11   4                3   3   11   2   3
      - 21*m1 *m2 *n1  *n2 *n3*r496 + 39*m1 *m2 *n1  *n2 *n3 *r496

             3   3   9   6                3   3   9   4   3
      - 15*m1 *m2 *n1 *n2 *n3*r496 - 85*m1 *m2 *n1 *n2 *n3 *r496

             3   3   9   2   5             3   3   7   8
      + 68*m1 *m2 *n1 *n2 *n3 *r496 + 32*m1 *m2 *n1 *n2 *n3*r496

              3   3   7   6   3              3   3   7   4   5
      - 104*m1 *m2 *n1 *n2 *n3 *r496 - 104*m1 *m2 *n1 *n2 *n3 *r496

             3   3   5   10                3   3   5   8   3
      + 11*m1 *m2 *n1 *n2  *n3*r496 + 38*m1 *m2 *n1 *n2 *n3 *r496

              3   3   5   6   5             3   3   3   12
      - 100*m1 *m2 *n1 *n2 *n3 *r496 - 11*m1 *m2 *n1 *n2  *n3*r496

             3   3   3   10   3             3   3   3   8   5
      + 13*m1 *m2 *n1 *n2  *n3 *r496 + 64*m1 *m2 *n1 *n2 *n3 *r496

          3   3      14               3   3      12   3
      + m1 *m2 *n1*n2  *n3*r496 - 5*m1 *m2 *n1*n2  *n3 *r496

            3   3      10   5             2   4   12   3
      - 8*m1 *m2 *n1*n2  *n3 *r496 + 10*m1 *m2 *n1  *n2 *n3*r496

             2   4   10   5                2   4   10   3   3
      - 17*m1 *m2 *n1  *n2 *n3*r496 + 63*m1 *m2 *n1  *n2 *n3 *r496

             2   4   8   7                2   4   8   5   3
      - 36*m1 *m2 *n1 *n2 *n3*r496 - 39*m1 *m2 *n1 *n2 *n3 *r496

             2   4   8   3   5             2   4   6   9
      + 72*m1 *m2 *n1 *n2 *n3 *r496 + 14*m1 *m2 *n1 *n2 *n3*r496

              2   4   6   7   3             2   4   6   5   5
      - 122*m1 *m2 *n1 *n2 *n3 *r496 - 56*m1 *m2 *n1 *n2 *n3 *r496

             2   4   4   11               2   4   4   9   3
      + 18*m1 *m2 *n1 *n2  *n3*r496 + 3*m1 *m2 *n1 *n2 *n3 *r496

             2   4   4   7   5            2   4   2   13
      - 90*m1 *m2 *n1 *n2 *n3 *r496 - 5*m1 *m2 *n1 *n2  *n3*r496

             2   4   2   11   3             2   4   2   9   5
      + 21*m1 *m2 *n1 *n2  *n3 *r496 + 36*m1 *m2 *n1 *n2 *n3 *r496

            2   4   13   3            2   4   11   5
      - 2*m1 *m2 *n2  *n3 *r496 - 2*m1 *m2 *n2  *n3 *r496

                5   11   4                5   9   6
      + 11*m1*m2 *n1  *n2 *n3*r496 + m1*m2 *n1 *n2 *n3*r496

                5   9   4   3                5   7   8
      + 45*m1*m2 *n1 *n2 *n3 *r496 - 23*m1*m2 *n1 *n2 *n3*r496

               5   7   6   3                5   7   4   5
      + 8*m1*m2 *n1 *n2 *n3 *r496 + 38*m1*m2 *n1 *n2 *n3 *r496

               5   5   10                   5   5   8   3
      - 5*m1*m2 *n1 *n2  *n3*r496 - 63*m1*m2 *n1 *n2 *n3 *r496

                5   5   6   5               5   3   12
      - 12*m1*m2 *n1 *n2 *n3 *r496 + 8*m1*m2 *n1 *n2  *n3*r496

                5   3   10   3                5   3   8   5
      - 18*m1*m2 *n1 *n2  *n3 *r496 - 42*m1*m2 *n1 *n2 *n3 *r496

               5      12   3               5      10   5
      + 8*m1*m2 *n1*n2  *n3 *r496 + 8*m1*m2 *n1*n2  *n3 *r496

            6   10   5               6   8   7                6   8   5   3
      + 4*m2 *n1  *n2 *n3*r496 + 4*m2 *n1 *n2 *n3*r496 + 12*m2 *n1 *n2 *n3 *r496

            6   6   9               6   6   7   3            6   6   5   5
      - 4*m2 *n1 *n2 *n3*r496 + 8*m2 *n1 *n2 *n3 *r496 + 8*m2 *n1 *n2 *n3 *r496

            6   4   11                6   4   9   3
      - 4*m2 *n1 *n2  *n3*r496 - 12*m2 *n1 *n2 *n3 *r496

            6   2   11   3            6   2   9   5
      - 8*m2 *n1 *n2  *n3 *r496 - 8*m2 *n1 *n2 *n3 *r496)/(

        2   5   9   4   2        2   5   9   2   4        2   5   7   6   2
   2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *n1 *n2 *n3

           2   5   7   4   4        2   5   5   8   2        2   5   5   6   4
    - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   5   3   10   2        2   5   3   8   4        2   4      10   5
    - 2*a33 *m1 *n1 *n2  *n3  + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

            2   4      10   3   2        2   4      10      4
    - 10*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2*n3

           2   4      8   7         2   4      8   5   2
    + 4*a33 *m1 *m2*n1 *n2  - 10*a33 *m1 *m2*n1 *n2 *n3

           2   4      8   3   4         2   4      6   7   2
    - 4*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2 *n3

            2   4      6   5   4        2   4      4   11
    - 20*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

            2   4      4   9   2        2   4      4   7   4
    + 10*a33 *m1 *m2*n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2 *n3

           2   4      2   13         2   4      2   9   4
    - 2*a33 *m1 *m2*n1 *n2   + 12*a33 *m1 *m2*n1 *n2 *n3

           2   3   2   11   4         2   3   2   11   2   2
    - 6*a33 *m1 *m2 *n1  *n2  + 14*a33 *m1 *m2 *n1  *n2 *n3

           2   3   2   11   4         2   3   2   9   6
    - 4*a33 *m1 *m2 *n1  *n3  - 10*a33 *m1 *m2 *n1 *n2

           2   3   2   9   4   2         2   3   2   9   2   4
    + 2*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   7   8         2   3   2   7   6   2
    + 4*a33 *m1 *m2 *n1 *n2  - 32*a33 *m1 *m2 *n1 *n2 *n3

            2   3   2   7   4   4         2   3   2   5   10
    + 16*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

           2   3   2   5   8   2         2   3   2   5   6   4
    - 8*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   3   12         2   3   2   3   10   2
    + 2*a33 *m1 *m2 *n1 *n2   + 18*a33 *m1 *m2 *n1 *n2  *n3

            2   3   2   3   8   4        2   3   2      14
    - 12*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1*n2

           2   3   2      12   2         2   3   2      10   4
    + 6*a33 *m1 *m2 *n1*n2  *n3  + 12*a33 *m1 *m2 *n1*n2  *n3

           2   2   3   12   3        2   2   3   12      2
    + 6*a33 *m1 *m2 *n1  *n2  - 6*a33 *m1 *m2 *n1  *n2*n3

           2   2   3   10   5         2   2   3   10   3   2
    + 6*a33 *m1 *m2 *n1  *n2  + 18*a33 *m1 *m2 *n1  *n2 *n3

            2   2   3   10      4         2   2   3   8   7
    - 12*a33 *m1 *m2 *n1  *n2*n3  - 12*a33 *m1 *m2 *n1 *n2

            2   2   3   8   5   2         2   2   3   8   3   4
    + 36*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   9         2   2   3   6   7   2
    - 12*a33 *m1 *m2 *n1 *n2  - 16*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   5   4        2   2   3   4   11
    + 32*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

            2   2   3   4   9   2         2   2   3   4   7   4
    - 34*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   2   13        2   2   3   2   11   2
    + 6*a33 *m1 *m2 *n1 *n2   - 2*a33 *m1 *m2 *n1 *n2  *n3

            2   2   3   2   9   4        2   2   3   13   2
    - 20*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n2  *n3

           2   2   3   11   4        2      4   13   2        2      4   11   4
    + 4*a33 *m1 *m2 *n2  *n3  - 2*a33 *m1*m2 *n1  *n2  + 2*a33 *m1*m2 *n1  *n2

            2      4   11   2   2         2      4   9   6
    - 12*a33 *m1*m2 *n1  *n2 *n3  + 12*a33 *m1*m2 *n1 *n2

           2      4   9   4   2         2      4   9   2   4
    - 6*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   8         2      4   7   6   2
    + 4*a33 *m1*m2 *n1 *n2  + 26*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   4   4         2      4   5   10
    - 4*a33 *m1*m2 *n1 *n2 *n3  - 10*a33 *m1*m2 *n1 *n2

            2      4   5   8   2         2      4   5   6   4
    + 14*a33 *m1*m2 *n1 *n2 *n3  + 20*a33 *m1*m2 *n1 *n2 *n3

           2      4   3   12         2      4   3   10   2
    - 6*a33 *m1*m2 *n1 *n2   - 14*a33 *m1*m2 *n1 *n2  *n3

           2      4   3   8   4        2      4      12   2
    + 4*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1*n2  *n3

           2      4      10   4        2   5   12   3        2   5   10   5
    - 8*a33 *m1*m2 *n1*n2  *n3  - 2*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1  *n2

           2   5   10   3   2         2   5   8   5   2        2   5   8   3   4
    - 6*a33 *m2 *n1  *n2 *n3  - 10*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   6   9        2   5   6   7   2        2   5   6   5   4
    + 4*a33 *m2 *n1 *n2  + 2*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   4   11         2   5   4   9   2        2   5   4   7   4
    + 2*a33 *m2 *n1 *n2   + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   2   11   2        2   5   2   9   4
    + 4*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3 )


          2   11   9   6   2             2   11   9   4   4
r24=(4*a33 *m1  *n1 *n2 *n3 *r214 - 8*a33 *m1  *n1 *n2 *n3 *r214

             2   11   7   8   2             2   11   7   6   4
      + 4*a33 *m1  *n1 *n2 *n3 *r214 - 8*a33 *m1  *n1 *n2 *n3 *r214

             2   10      10   7              2   10      10   5   2
      + 4*a33 *m1  *m2*n1  *n2 *r214 - 24*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   10      10   3   4             2   10      8   9
      + 24*a33 *m1  *m2*n1  *n2 *n3 *r214 + 8*a33 *m1  *m2*n1 *n2 *r214

              2   10      8   7   2              2   10      8   5   4
      - 12*a33 *m1  *m2*n1 *n2 *n3 *r214 - 24*a33 *m1  *m2*n1 *n2 *n3 *r214

             2   10      6   11              2   10      6   9   2
      + 4*a33 *m1  *m2*n1 *n2  *r214 + 12*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      6   7   4             2   10   11   5   2
      - 48*a33 *m1  *m2*n1 *n2 *n3 *r214 + 2*a33 *m1  *n1  *n2 *n3 *r216

             2   10   11   3   4             2   10   9   7   2
      - 4*a33 *m1  *n1  *n2 *n3 *r216 + 4*a33 *m1  *n1 *n2 *n3 *r216

             2   10   9   5   4             2   10   7   9   2
      - 8*a33 *m1  *n1 *n2 *n3 *r216 + 2*a33 *m1  *n1 *n2 *n3 *r216

             2   10   7   7   4              2   9   2   11   6
      - 4*a33 *m1  *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

              2   9   2   11   4   2              2   9   2   11   2   4
      + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   2   9   8              2   9   2   9   6   2
      - 16*a33 *m1 *m2 *n1 *n2 *r214 - 44*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   9   4   4              2   9   2   7   10
      + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

              2   9   2   7   8   2              2   9   2   7   6   4
      - 92*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9   2   5   12               2   9   2   5   8   4
      + 16*a33 *m1 *m2 *n1 *n2  *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   9      12   6              2   9      12   4   2
      + 2*a33 *m1 *m2*n1  *n2 *r216 - 10*a33 *m1 *m2*n1  *n2 *n3 *r216

             2   9      12   2   4             2   9      10   8
      + 8*a33 *m1 *m2*n1  *n2 *n3 *r216 + 6*a33 *m1 *m2*n1  *n2 *r216

              2   9      10   6   2             2   9      10   4   4
      - 14*a33 *m1 *m2*n1  *n2 *n3 *r216 - 8*a33 *m1 *m2*n1  *n2 *n3 *r216

             2   9      8   10             2   9      8   8   2
      + 6*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   9      8   6   4             2   9      6   12
      - 40*a33 *m1 *m2*n1 *n2 *n3 *r216 + 2*a33 *m1 *m2*n1 *n2  *r216

             2   9      6   10   2              2   9      6   8   4
      + 6*a33 *m1 *m2*n1 *n2  *n3 *r216 - 24*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   8   3   12   5              2   8   3   12   3   2
      + 24*a33 *m1 *m2 *n1  *n2 *r214 - 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   8   3   12      4              2   8   3   10   7
      + 8*a33 *m1 *m2 *n1  *n2*n3 *r214 - 12*a33 *m1 *m2 *n1  *n2 *r214

               2   8   3   10   5   2               2   8   3   10   3   4
      + 152*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 112*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   8   9              2   8   3   8   7   2
      - 72*a33 *m1 *m2 *n1 *n2 *r214 + 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   8   5   4              2   8   3   6   11
      + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   8   3   6   9   2               2   8   3   6   7   4
      - 148*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   8   3   4   13              2   8   3   4   11   2
      + 24*a33 *m1 *m2 *n1 *n2  *r214 - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   3   4   9   4             2   8   2   13   5
      - 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 6*a33 *m1 *m2 *n1  *n2 *r216

              2   8   2   13   3   2             2   8   2   13      4
      + 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   8   2   11   7              2   8   2   11   5   2
      - 10*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   11   3   4             2   8   2   9   9
      + 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2 *r216

              2   8   2   9   7   2              2   8   2   9   5   4
      - 66*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   8   2   7   11              2   8   2   7   9   2
      + 18*a33 *m1 *m2 *n1 *n2  *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   8   2   7   7   4             2   8   2   5   13
      - 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *r216

              2   8   2   5   9   4              2   7   4   13   4
      - 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

              2   7   4   13   2   2              2   7   4   11   6
      + 12*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 48*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   11   4   2              2   7   4   11   2   4
      - 132*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   4   9   8               2   7   4   9   6   2
      + 64*a33 *m1 *m2 *n1 *n2 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   9   4   4              2   7   4   7   10
      - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   7   8   2               2   7   4   7   6   4
      + 264*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   4   5   12              2   7   4   5   10   2
      - 48*a33 *m1 *m2 *n1 *n2  *r214 - 60*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   4   5   8   4              2   7   4   3   14
      + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

              2   7   4   3   12   2               2   7   4   3   10   4
      - 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   7   3   14   4             2   7   3   14   2   2
      + 6*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   7   3   12   6              2   7   3   12   4   2
      - 4*a33 *m1 *m2 *n1  *n2 *r216 + 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   12   2   4              2   7   3   10   8
      - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 36*a33 *m1 *m2 *n1  *n2 *r216

              2   7   3   10   6   2              2   7   3   10   4   4
      + 52*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   8   10              2   7   3   8   8   2
      - 24*a33 *m1 *m2 *n1 *n2  *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   7   3   8   6   4              2   7   3   6   12
      + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 14*a33 *m1 *m2 *n1 *n2  *r216

              2   7   3   6   10   2              2   7   3   6   8   4
      - 94*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   7   3   4   14              2   7   3   4   12   2
      + 12*a33 *m1 *m2 *n1 *n2  *r216 - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   3   4   10   4             2   6   5   14   3
      - 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

              2   6   5   12   5              2   6   5   12   3   2
      - 32*a33 *m1 *m2 *n1  *n2 *r214 + 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   6   5   12      4             2   6   5   10   7
      + 8*a33 *m1 *m2 *n1  *n2*n3 *r214 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   6   5   10   5   2              2   6   5   10   3   4
      - 124*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   8   9              2   6   5   8   7   2
      + 80*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   8   5   4             2   6   5   6   11
      - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *r214

               2   6   5   6   9   2              2   6   5   6   7   4
      + 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   6   5   4   13              2   6   5   4   11   2
      - 32*a33 *m1 *m2 *n1 *n2  *r214 + 44*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   5   4   9   4             2   6   5   2   15
      + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *r214

              2   6   5   2   13   2              2   6   5   2   11   4
      - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 48*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   6   4   15   3              2   6   4   13   5
      - 2*a33 *m1 *m2 *n1  *n2 *r216 + 12*a33 *m1 *m2 *n1  *n2 *r216

              2   6   4   13   3   2             2   6   4   13      4
      - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   6   4   11   7              2   6   4   11   5   2
      + 20*a33 *m1 *m2 *n1  *n2 *r216 + 46*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   4   11   3   4              2   6   4   9   9
      - 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *r216

               2   6   4   9   7   2              2   6   4   9   5   4
      + 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   7   11             2   6   4   7   9   2
      - 42*a33 *m1 *m2 *n1 *n2  *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   7   7   4             2   6   4   5   13
      + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

              2   6   4   5   11   2              2   6   4   5   9   4
      - 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   6   4   3   15              2   6   4   3   13   2
      + 8*a33 *m1 *m2 *n1 *n2  *r216 - 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   4   3   11   4              2   5   6   13   2   2
      - 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   5   6   11   4   2              2   5   6   11   2   4
      - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   5   6   9   6   2               2   5   6   9   4   4
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   7   8   2              2   5   6   7   6   4
      + 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   5   10   2               2   5   6   5   8   4
      + 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   3   12   2              2   5   6   3   10   4
      + 28*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   5   6      14   2             2   5   6      12   4
      - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2  *n3 *r214

             2   5   5   14   4             2   5   5   14   2   2
      - 2*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   5   5   12   6             2   5   5   12   4   2
      + 6*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   12   2   4              2   5   5   10   8
      - 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 18*a33 *m1 *m2 *n1  *n2 *r216

              2   5   5   10   6   2             2   5   5   10   4   4
      + 46*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   8   8   2              2   5   5   8   6   4
      + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5   6   12              2   5   5   6   10   2
      - 18*a33 *m1 *m2 *n1 *n2  *r216 + 42*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5   6   8   4             2   5   5   4   14
      + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

              2   5   5   4   12   2             2   5   5   4   10   4
      - 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   5   5   2   16              2   5   5   2   14   2
      + 2*a33 *m1 *m2 *n1 *n2  *r216 - 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5   2   12   4             2   4   7   14   3
      - 24*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

              2   4   7   12   5              2   4   7   12   3   2
      - 32*a33 *m1 *m2 *n1  *n2 *r214 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   4   7   10   7               2   4   7   10   5   2
      + 4*a33 *m1 *m2 *n1  *n2 *r214 - 180*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   7   10   3   4              2   4   7   8   9
      + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *r214

               2   4   7   8   7   2               2   4   7   8   5   4
      - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   7   6   11               2   4   7   6   9   2
      + 4*a33 *m1 *m2 *n1 *n2  *r214 + 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   7   6   7   4              2   4   7   4   13
      - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2  *r214

              2   4   7   4   11   2               2   4   7   4   9   4
      + 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   7   2   15              2   4   7   2   13   2
      + 4*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   7   2   11   4             2   4   6   15   3
      - 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 2*a33 *m1 *m2 *n1  *n2 *r216

             2   4   6   13   5              2   4   6   13   3   2
      + 6*a33 *m1 *m2 *n1  *n2 *r216 - 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   6   11   7              2   4   6   11   3   4
      + 18*a33 *m1 *m2 *n1  *n2 *r216 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   9   7   2              2   4   6   9   5   4
      + 100*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   7   11              2   4   6   7   9   2
      - 18*a33 *m1 *m2 *n1 *n2  *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   7   7   4             2   4   6   5   13
      + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

             2   4   6   5   11   2              2   4   6   5   9   4
      + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   4   6   3   15             2   4   6   3   13   2
      + 2*a33 *m1 *m2 *n1 *n2  *r216 - 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   6   3   11   4             2   4   6      15   2
      - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1*n2  *n3 *r216

             2   4   6      13   4              2   3   8   13   4
      - 4*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

              2   3   8   11   6               2   3   8   11   4   2
      - 48*a33 *m1 *m2 *n1  *n2 *r214 + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   3   8   9   8               2   3   8   9   6   2
      - 64*a33 *m1 *m2 *n1 *n2 *r214 - 140*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   9   4   4              2   3   8   7   10
      + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2  *r214

               2   3   8   7   8   2               2   3   8   7   6   4
      - 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   8   5   12              2   3   8   5   10   2
      + 48*a33 *m1 *m2 *n1 *n2  *r214 + 72*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   8   5   8   4              2   3   8   3   14
      - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

              2   3   8   3   12   2               2   3   8   3   10   4
      + 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   3   8      14   2             2   3   8      12   4
      - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2  *n3 *r214

             2   3   7   14   4             2   3   7   12   6
      - 8*a33 *m1 *m2 *n1  *n2 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r216

              2   3   7   12   4   2              2   3   7   10   8
      - 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 42*a33 *m1 *m2 *n1  *n2 *r216

              2   3   7   10   6   2              2   3   7   10   4   4
      - 50*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 80*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   7   8   10               2   3   7   8   8   2
      + 24*a33 *m1 *m2 *n1 *n2  *r216 + 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   7   8   6   4              2   3   7   6   12
      - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2  *r216

               2   3   7   6   10   2              2   3   7   6   8   4
      + 108*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   7   4   14             2   3   7   4   12   2
      - 12*a33 *m1 *m2 *n1 *n2  *r216 + 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   7   4   10   4             2   3   7   2   16
      + 64*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

              2   3   7   2   14   2              2   3   7   2   12   4
      - 10*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   9   12   5              2   2   9   10   7
      + 24*a33 *m1 *m2 *n1  *n2 *r214 - 12*a33 *m1 *m2 *n1  *n2 *r214

               2   2   9   10   5   2              2   2   9   8   9
      + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 72*a33 *m1 *m2 *n1 *n2 *r214

              2   2   9   8   7   2               2   2   9   8   5   4
      + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   9   6   11               2   2   9   6   9   2
      - 12*a33 *m1 *m2 *n1 *n2  *r214 - 172*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   9   6   7   4              2   2   9   4   13
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *r214

              2   2   9   4   11   2               2   2   9   4   9   4
      - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   9   2   13   2              2   2   9   2   11   4
      + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   2   8   13   5              2   2   8   11   7
      - 12*a33 *m1 *m2 *n1  *n2 *r216 - 14*a33 *m1 *m2 *n1  *n2 *r216

              2   2   8   11   5   2              2   2   8   9   9
      - 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r216

              2   2   8   9   7   2              2   2   8   9   5   4
      - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 60*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   7   11              2   2   8   7   9   2
      + 36*a33 *m1 *m2 *n1 *n2  *r216 + 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   7   7   4             2   2   8   5   13
      - 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

              2   2   8   5   11   2              2   2   8   5   9   4
      + 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   8   3   15              2   2   8   3   13   2
      - 6*a33 *m1 *m2 *n1 *n2  *r216 + 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   8   3   11   4             2   2   8      15   2
      + 36*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1*n2  *n3 *r216

             2   2   8      13   4              2      10   11   6
      - 4*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1*m2  *n1  *n2 *r214

              2      10   9   8              2      10   9   6   2
      + 16*a33 *m1*m2  *n1 *n2 *r214 + 60*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      10   7   10              2      10   7   8   2
      - 16*a33 *m1*m2  *n1 *n2  *r214 + 60*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      10   7   6   4              2      10   5   12
      + 48*a33 *m1*m2  *n1 *n2 *n3 *r214 - 16*a33 *m1*m2  *n1 *n2  *r214

              2      10   5   10   2              2      10   5   8   4
      - 24*a33 *m1*m2  *n1 *n2  *n3 *r214 + 24*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      10   3   12   2              2      10   3   10   4
      - 24*a33 *m1*m2  *n1 *n2  *n3 *r214 - 24*a33 *m1*m2  *n1 *n2  *n3 *r214

             2      9   12   6              2      9   10   8
      - 8*a33 *m1*m2 *n1  *n2 *r216 - 18*a33 *m1*m2 *n1  *n2 *r216

              2      9   10   6   2             2      9   8   10
      - 30*a33 *m1*m2 *n1  *n2 *n3 *r216 - 6*a33 *m1*m2 *n1 *n2  *r216

              2      9   8   8   2              2      9   8   6   4
      - 66*a33 *m1*m2 *n1 *n2 *n3 *r216 - 24*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9   6   12              2      9   6   10   2
      + 10*a33 *m1*m2 *n1 *n2  *r216 - 34*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9   6   8   4             2      9   4   14
      - 40*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2  *r216

              2      9   4   12   2             2      9   4   10   4
      + 10*a33 *m1*m2 *n1 *n2  *n3 *r216 - 8*a33 *m1*m2 *n1 *n2  *n3 *r216

             2      9   2   14   2             2      9   2   12   4
      + 8*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1 *n2  *n3 *r216

             2   11   10   7             2   11   8   9
      + 4*a33 *m2  *n1  *n2 *r214 + 8*a33 *m2  *n1 *n2 *r214

              2   11   8   7   2             2   11   6   11
      + 12*a33 *m2  *n1 *n2 *n3 *r214 + 4*a33 *m2  *n1 *n2  *r214

              2   11   6   9   2             2   11   6   7   4
      + 20*a33 *m2  *n1 *n2 *n3 *r214 + 8*a33 *m2  *n1 *n2 *n3 *r214

             2   11   4   11   2             2   11   4   9   4
      + 8*a33 *m2  *n1 *n2  *n3 *r214 + 8*a33 *m2  *n1 *n2 *n3 *r214

             2   10   11   7             2   10   9   9
      - 2*a33 *m2  *n1  *n2 *r216 - 6*a33 *m2  *n1 *n2 *r216

             2   10   9   7   2             2   10   7   11
      - 6*a33 *m2  *n1 *n2 *n3 *r216 - 6*a33 *m2  *n1 *n2  *r216

              2   10   7   9   2             2   10   7   7   4
      - 16*a33 *m2  *n1 *n2 *n3 *r216 - 4*a33 *m2  *n1 *n2 *n3 *r216

             2   10   5   13              2   10   5   11   2
      - 2*a33 *m2  *n1 *n2  *r216 - 14*a33 *m2  *n1 *n2  *n3 *r216

             2   10   5   9   4             2   10   3   13   2
      - 8*a33 *m2  *n1 *n2 *n3 *r216 - 4*a33 *m2  *n1 *n2  *n3 *r216

             2   10   3   11   4            10   13   5   2
      - 4*a33 *m2  *n1 *n2  *n3 *r216 + 4*m1  *n1  *n2 *n3 *r496

            10   13   3   4          10   11   7   2
      - 8*m1  *n1  *n2 *n3 *r496 + m1  *n1  *n2 *n3 *r496

            10   11   5   4            10   9   9   2
      - 2*m1  *n1  *n2 *n3 *r496 - 2*m1  *n1 *n2 *n3 *r496

            10   9   7   4          10   7   11   2
      + 4*m1  *n1 *n2 *n3 *r496 + m1  *n1 *n2  *n3 *r496

            10   7   9   4            9      14   6
      - 2*m1  *n1 *n2 *n3 *r496 + 4*m1 *m2*n1  *n2 *r496

             9      14   4   2             9      14   2   4
      - 20*m1 *m2*n1  *n2 *n3 *r496 + 16*m1 *m2*n1  *n2 *n3 *r496

            9      12   8             9      12   6   2
      + 5*m1 *m2*n1  *n2 *r496 + 16*m1 *m2*n1  *n2 *n3 *r496

             9      12   4   4          9      10   10
      - 62*m1 *m2*n1  *n2 *n3 *r496 - m1 *m2*n1  *n2  *r496

             9      10   8   2             9      10   6   4
      + 16*m1 *m2*n1  *n2 *n3 *r496 - 26*m1 *m2*n1  *n2 *n3 *r496

          9      8   12             9      8   10   2
      - m1 *m2*n1 *n2  *r496 - 16*m1 *m2*n1 *n2  *n3 *r496

             9      8   8   4          9      6   14
      + 38*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

            9      6   12   2             9      6   10   4
      + 4*m1 *m2*n1 *n2  *n3 *r496 - 14*m1 *m2*n1 *n2  *n3 *r496

             8   2   15   5             8   2   15   3   2
      - 12*m1 *m2 *n1  *n2 *r496 + 29*m1 *m2 *n1  *n2 *n3 *r496

             8   2   15      4             8   2   13   7
      - 10*m1 *m2 *n1  *n2*n3 *r496 + 10*m1 *m2 *n1  *n2 *r496

              8   2   13   5   2              8   2   13   3   4
      - 119*m1 *m2 *n1  *n2 *n3 *r496 + 124*m1 *m2 *n1  *n2 *n3 *r496

             8   2   11   9             8   2   11   7   2
      + 35*m1 *m2 *n1  *n2 *r496 - 15*m1 *m2 *n1  *n2 *n3 *r496

              8   2   11   5   4            8   2   9   11
      - 204*m1 *m2 *n1  *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

             8   2   9   9   2              8   2   9   7   4
      + 86*m1 *m2 *n1 *n2 *n3 *r496 - 142*m1 *m2 *n1 *n2 *n3 *r496

             8   2   7   13             8   2   7   11   2
      - 11*m1 *m2 *n1 *n2  *r496 - 44*m1 *m2 *n1 *n2  *n3 *r496

              8   2   7   9   4            8   2   5   15
      + 154*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *r496

            8   2   5   13   2             8   2   5   11   4
      + 3*m1 *m2 *n1 *n2  *n3 *r496 - 42*m1 *m2 *n1 *n2  *n3 *r496

             7   3   16   4             7   3   16   2   2
      + 13*m1 *m2 *n1  *n2 *r496 - 16*m1 *m2 *n1  *n2 *n3 *r496

            7   3   16   4             7   3   14   6
      + 2*m1 *m2 *n1  *n3 *r496 - 56*m1 *m2 *n1  *n2 *r496

              7   3   14   4   2             7   3   14   2   4
      + 184*m1 *m2 *n1  *n2 *n3 *r496 - 74*m1 *m2 *n1  *n2 *n3 *r496

             7   3   12   8              7   3   12   6   2
      - 28*m1 *m2 *n1  *n2 *r496 - 274*m1 *m2 *n1  *n2 *n3 *r496

              7   3   12   4   4              7   3   10   10
      + 422*m1 *m2 *n1  *n2 *n3 *r496 + 104*m1 *m2 *n1  *n2  *r496

              7   3   10   8   2              7   3   10   6   4
      - 224*m1 *m2 *n1  *n2 *n3 *r496 - 356*m1 *m2 *n1  *n2 *n3 *r496

             7   3   8   12              7   3   8   10   2
      + 13*m1 *m2 *n1 *n2  *r496 + 220*m1 *m2 *n1 *n2  *n3 *r496

              7   3   8   8   4             7   3   6   14
      - 434*m1 *m2 *n1 *n2 *n3 *r496 - 40*m1 *m2 *n1 *n2  *r496

             7   3   6   12   2              7   3   6   10   4
      - 40*m1 *m2 *n1 *n2  *n3 *r496 + 350*m1 *m2 *n1 *n2  *n3 *r496

             7   3   4   16             7   3   4   14   2
      + 10*m1 *m2 *n1 *n2  *r496 - 10*m1 *m2 *n1 *n2  *n3 *r496

             7   3   4   12   4            6   4   17   3
      - 70*m1 *m2 *n1 *n2  *n3 *r496 - 6*m1 *m2 *n1  *n2 *r496

            6   4   17      2             6   4   15   5
      + 3*m1 *m2 *n1  *n2*n3 *r496 + 67*m1 *m2 *n1  *n2 *r496

              6   4   15   3   2             6   4   15      4
      - 100*m1 *m2 *n1  *n2 *n3 *r496 + 14*m1 *m2 *n1  *n2*n3 *r496

             6   4   13   7              6   4   13   5   2
      - 90*m1 *m2 *n1  *n2 *r496 + 494*m1 *m2 *n1  *n2 *n3 *r496

              6   4   13   3   4              6   4   11   9
      - 238*m1 *m2 *n1  *n2 *n3 *r496 - 160*m1 *m2 *n1  *n2 *r496

              6   4   11   7   2              6   4   11   5   4
      - 251*m1 *m2 *n1  *n2 *n3 *r496 + 826*m1 *m2 *n1  *n2 *n3 *r496

              6   4   9   11              6   4   9   9   2
      + 158*m1 *m2 *n1 *n2  *r496 - 629*m1 *m2 *n1 *n2 *n3 *r496

              6   4   9   7   4             6   4   7   13
      - 308*m1 *m2 *n1 *n2 *n3 *r496 + 75*m1 *m2 *n1 *n2  *r496

              6   4   7   11   2              6   4   7   9   4
      + 284*m1 *m2 *n1 *n2  *n3 *r496 - 826*m1 *m2 *n1 *n2 *n3 *r496

             6   4   5   15             6   4   5   13   2
      - 70*m1 *m2 *n1 *n2  *r496 + 40*m1 *m2 *n1 *n2  *n3 *r496

              6   4   5   11   4             6   4   3   17
      + 490*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1 *n2  *r496

             6   4   3   15   2             6   4   3   13   4
      - 25*m1 *m2 *n1 *n2  *n3 *r496 - 70*m1 *m2 *n1 *n2  *n3 *r496

          5   5   18   2             5   5   16   4
      + m1 *m2 *n1  *n2 *r496 - 31*m1 *m2 *n1  *n2 *r496

             5   5   16   2   2              5   5   14   6
      + 18*m1 *m2 *n1  *n2 *n3 *r496 + 139*m1 *m2 *n1  *n2 *r496

              5   5   14   4   2             5   5   14   2   4
      - 264*m1 *m2 *n1  *n2 *n3 *r496 + 42*m1 *m2 *n1  *n2 *n3 *r496

             5   5   12   8              5   5   12   6   2
      - 25*m1 *m2 *n1  *n2 *r496 + 724*m1 *m2 *n1  *n2 *n3 *r496

              5   5   12   4   4              5   5   10   10
      - 434*m1 *m2 *n1  *n2 *n3 *r496 - 306*m1 *m2 *n1  *n2  *r496

              5   5   10   8   2               5   5   10   6   4
      + 104*m1 *m2 *n1  *n2 *n3 *r496 + 1022*m1 *m2 *n1  *n2 *n3 *r496

              5   5   8   12              5   5   8   10   2
      + 105*m1 *m2 *n1 *n2  *r496 - 918*m1 *m2 *n1 *n2  *n3 *r496

              5   5   6   14              5   5   6   12   2
      + 145*m1 *m2 *n1 *n2  *r496 + 136*m1 *m2 *n1 *n2  *n3 *r496

               5   5   6   10   4             5   5   4   16
      - 1022*m1 *m2 *n1 *n2  *n3 *r496 - 65*m1 *m2 *n1 *n2  *r496

              5   5   4   14   2              5   5   4   12   4
      + 128*m1 *m2 *n1 *n2  *n3 *r496 + 434*m1 *m2 *n1 *n2  *n3 *r496

            5   5   2   18             5   5   2   16   2
      + 5*m1 *m2 *n1 *n2  *r496 - 24*m1 *m2 *n1 *n2  *n3 *r496

             5   5   2   14   4            4   6   17   3
      - 42*m1 *m2 *n1 *n2  *n3 *r496 + 5*m1 *m2 *n1  *n2 *r496

             4   6   15   5             4   6   15   3   2
      - 65*m1 *m2 *n1  *n2 *r496 + 45*m1 *m2 *n1  *n2 *n3 *r496

              4   6   13   7              4   6   13   5   2
      + 145*m1 *m2 *n1  *n2 *r496 - 380*m1 *m2 *n1  *n2 *n3 *r496

             4   6   13   3   4              4   6   11   9
      + 70*m1 *m2 *n1  *n2 *n3 *r496 + 105*m1 *m2 *n1  *n2 *r496

              4   6   11   7   2              4   6   11   5   4
      + 620*m1 *m2 *n1  *n2 *n3 *r496 - 490*m1 *m2 *n1  *n2 *n3 *r496

              4   6   9   11              4   6   9   9   2
      - 306*m1 *m2 *n1 *n2  *r496 + 505*m1 *m2 *n1 *n2 *n3 *r496

              4   6   9   7   4             4   6   7   13
      + 826*m1 *m2 *n1 *n2 *n3 *r496 - 25*m1 *m2 *n1 *n2  *r496

              4   6   7   11   2              4   6   7   9   4
      - 769*m1 *m2 *n1 *n2  *n3 *r496 + 308*m1 *m2 *n1 *n2 *n3 *r496

              4   6   5   15             4   6   5   13   2
      + 139*m1 *m2 *n1 *n2  *r496 - 94*m1 *m2 *n1 *n2  *n3 *r496

              4   6   5   11   4             4   6   3   17
      - 826*m1 *m2 *n1 *n2  *n3 *r496 - 31*m1 *m2 *n1 *n2  *r496

              4   6   3   15   2              4   6   3   13   4
      + 124*m1 *m2 *n1 *n2  *n3 *r496 + 238*m1 *m2 *n1 *n2  *n3 *r496

          4   6      19             4   6      17   2
      + m1 *m2 *n1*n2  *r496 - 11*m1 *m2 *n1*n2  *n3 *r496

             4   6      15   4             3   7   16   4
      - 14*m1 *m2 *n1*n2  *n3 *r496 + 10*m1 *m2 *n1  *n2 *r496

             3   7   14   6             3   7   14   4   2
      - 70*m1 *m2 *n1  *n2 *r496 + 60*m1 *m2 *n1  *n2 *n3 *r496

             3   7   12   8              3   7   12   6   2
      + 75*m1 *m2 *n1  *n2 *r496 - 320*m1 *m2 *n1  *n2 *n3 *r496

             3   7   12   4   4              3   7   10   10
      + 70*m1 *m2 *n1  *n2 *n3 *r496 + 158*m1 *m2 *n1  *n2  *r496

              3   7   10   8   2              3   7   10   6   4
      + 304*m1 *m2 *n1  *n2 *n3 *r496 - 350*m1 *m2 *n1  *n2 *n3 *r496

              3   7   8   12              3   7   8   10   2
      - 160*m1 *m2 *n1 *n2  *r496 + 566*m1 *m2 *n1 *n2  *n3 *r496

              3   7   8   8   4             3   7   6   14
      + 434*m1 *m2 *n1 *n2 *n3 *r496 - 90*m1 *m2 *n1 *n2  *r496

              3   7   6   12   2              3   7   6   10   4
      - 340*m1 *m2 *n1 *n2  *n3 *r496 + 356*m1 *m2 *n1 *n2  *n3 *r496

             3   7   4   16              3   7   4   14   2
      + 67*m1 *m2 *n1 *n2  *r496 - 164*m1 *m2 *n1 *n2  *n3 *r496

              3   7   4   12   4            3   7   2   18
      - 422*m1 *m2 *n1 *n2  *n3 *r496 - 6*m1 *m2 *n1 *n2  *r496

             3   7   2   16   2             3   7   2   14   4
      + 56*m1 *m2 *n1 *n2  *n3 *r496 + 74*m1 *m2 *n1 *n2  *n3 *r496

            3   7   18   2            3   7   16   4
      - 2*m1 *m2 *n2  *n3 *r496 - 2*m1 *m2 *n2  *n3 *r496

             2   8   15   5             2   8   13   7
      + 10*m1 *m2 *n1  *n2 *r496 - 40*m1 *m2 *n1  *n2 *r496

             2   8   13   5   2             2   8   11   9
      + 45*m1 *m2 *n1  *n2 *n3 *r496 + 13*m1 *m2 *n1  *n2 *r496

              2   8   11   7   2             2   8   11   5   4
      - 156*m1 *m2 *n1  *n2 *n3 *r496 + 42*m1 *m2 *n1  *n2 *n3 *r496

              2   8   9   11             2   8   9   9   2
      + 104*m1 *m2 *n1 *n2  *r496 + 74*m1 *m2 *n1 *n2 *n3 *r496

              2   8   9   7   4             2   8   7   13
      - 154*m1 *m2 *n1 *n2 *n3 *r496 - 28*m1 *m2 *n1 *n2  *r496

              2   8   7   11   2              2   8   7   9   4
      + 331*m1 *m2 *n1 *n2  *n3 *r496 + 142*m1 *m2 *n1 *n2 *n3 *r496

             2   8   5   15             2   8   5   13   2
      - 56*m1 *m2 *n1 *n2  *r496 - 39*m1 *m2 *n1 *n2  *n3 *r496

              2   8   5   11   4             2   8   3   17
      + 204*m1 *m2 *n1 *n2  *n3 *r496 + 13*m1 *m2 *n1 *n2  *r496

             2   8   3   15   2              2   8   3   13   4
      - 85*m1 *m2 *n1 *n2  *n3 *r496 - 124*m1 *m2 *n1 *n2  *n3 *r496

             2   8      17   2             2   8      15   4
      + 10*m1 *m2 *n1*n2  *n3 *r496 + 10*m1 *m2 *n1*n2  *n3 *r496

               9   14   6                9   12   8
      + 5*m1*m2 *n1  *n2 *r496 - 11*m1*m2 *n1  *n2 *r496

                9   12   6   2               9   10   10
      + 18*m1*m2 *n1  *n2 *n3 *r496 - 3*m1*m2 *n1  *n2  *r496

                9   10   8   2                9   10   6   4
      - 40*m1*m2 *n1  *n2 *n3 *r496 + 14*m1*m2 *n1  *n2 *n3 *r496

                9   8   12               9   8   10   2
      + 35*m1*m2 *n1 *n2  *r496 + 4*m1*m2 *n1 *n2  *n3 *r496

                9   8   8   4                9   6   14
      - 38*m1*m2 *n1 *n2 *n3 *r496 + 10*m1*m2 *n1 *n2  *r496

                 9   6   12   2                9   6   10   4
      + 104*m1*m2 *n1 *n2  *n3 *r496 + 26*m1*m2 *n1 *n2  *n3 *r496

                9   4   16                9   4   14   2
      - 12*m1*m2 *n1 *n2  *r496 + 26*m1*m2 *n1 *n2  *n3 *r496

                9   4   12   4                9   2   16   2
      + 62*m1*m2 *n1 *n2  *n3 *r496 - 16*m1*m2 *n1 *n2  *n3 *r496

                9   2   14   4          10   13   7          10   11   9
      - 16*m1*m2 *n1 *n2  *n3 *r496 + m2  *n1  *n2 *r496 - m2  *n1  *n2 *r496

            10   11   7   2          10   9   11            10   9   9   2
      + 3*m2  *n1  *n2 *n3 *r496 - m2  *n1 *n2  *r496 - 4*m2  *n1 *n2 *n3 *r496

            10   9   7   4            10   7   13          10   7   11   2
      + 2*m2  *n1 *n2 *n3 *r496 + 5*m2  *n1 *n2  *r496 - m2  *n1 *n2  *n3 *r496

            10   7   9   4            10   5   15
      - 4*m2  *n1 *n2 *n3 *r496 + 4*m2  *n1 *n2  *r496

             10   5   13   2            10   5   11   4
      + 14*m2  *n1 *n2  *n3 *r496 + 2*m2  *n1 *n2  *n3 *r496

            10   3   15   2            10   3   13   4
      + 8*m2  *n1 *n2  *n3 *r496 + 8*m2  *n1 *n2  *n3 *r496)/(

        2   9   12   5   2        2   9   12   3   4        2   9   10   7   2
   2*a33 *m1 *n1  *n2 *n3  - 4*a33 *m1 *n1  *n2 *n3  + 2*a33 *m1 *n1  *n2 *n3

           2   9   10   5   4        2   9   8   9   2        2   9   8   7   4
    - 4*a33 *m1 *n1  *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   9   6   11   2        2   9   6   9   4        2   8      13   6
    - 2*a33 *m1 *n1 *n2  *n3  + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

            2   8      13   4   2         2   8      13   2   4
    - 12*a33 *m1 *m2*n1  *n2 *n3  + 12*a33 *m1 *m2*n1  *n2 *n3

           2   8      11   8        2   8      11   6   2
    + 4*a33 *m1 *m2*n1  *n2  - 6*a33 *m1 *m2*n1  *n2 *n3

            2   8      11   4   4         2   8      9   8   2
    - 12*a33 *m1 *m2*n1  *n2 *n3  + 18*a33 *m1 *m2*n1 *n2 *n3

            2   8      9   6   4        2   8      7   12
    - 36*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

           2   8      7   10   2         2   8      7   8   4
    + 6*a33 *m1 *m2*n1 *n2  *n3  + 12*a33 *m1 *m2*n1 *n2 *n3

           2   8      5   14        2   8      5   12   2
    - 2*a33 *m1 *m2*n1 *n2   - 6*a33 *m1 *m2*n1 *n2  *n3

            2   8      5   10   4        2   7   2   14   5
    + 24*a33 *m1 *m2*n1 *n2  *n3  - 8*a33 *m1 *m2 *n1  *n2

            2   7   2   14   3   2         2   7   2   14      4
    + 24*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2*n3

           2   7   2   12   7         2   7   2   12   5   2
    - 8*a33 *m1 *m2 *n1  *n2  - 24*a33 *m1 *m2 *n1  *n2 *n3

            2   7   2   12   3   4         2   7   2   10   9
    + 60*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2

            2   7   2   10   7   2         2   7   2   10   5   4
    - 72*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2 *n3

            2   7   2   8   11         2   7   2   8   9   2
    + 16*a33 *m1 *m2 *n1 *n2   + 24*a33 *m1 *m2 *n1 *n2 *n3

             2   7   2   8   7   4        2   7   2   6   13
    - 120*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1 *n2

            2   7   2   6   11   2         2   7   2   6   9   4
    + 48*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2 *n3

           2   7   2   4   15         2   7   2   4   11   4
    - 8*a33 *m1 *m2 *n1 *n2   + 60*a33 *m1 *m2 *n1 *n2  *n3

            2   6   3   15   4         2   6   3   15   2   2
    + 12*a33 *m1 *m2 *n1  *n2  - 20*a33 *m1 *m2 *n1  *n2 *n3

           2   6   3   15   4        2   6   3   13   6
    + 4*a33 *m1 *m2 *n1  *n3  - 8*a33 *m1 *m2 *n1  *n2

            2   6   3   13   4   2         2   6   3   13   2   4
    + 88*a33 *m1 *m2 *n1  *n2 *n3  - 68*a33 *m1 *m2 *n1  *n2 *n3

            2   6   3   11   8         2   6   3   11   6   2
    - 52*a33 *m1 *m2 *n1  *n2  + 68*a33 *m1 *m2 *n1  *n2 *n3

             2   6   3   11   4   4          2   6   3   9   8   2
    + 104*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1 *n2 *n3

             2   6   3   9   6   4         2   6   3   7   12
    + 168*a33 *m1 *m2 *n1 *n2 *n3  + 52*a33 *m1 *m2 *n1 *n2

            2   6   3   7   10   2          2   6   3   7   8   4
    - 68*a33 *m1 *m2 *n1 *n2  *n3  - 188*a33 *m1 *m2 *n1 *n2 *n3

           2   6   3   5   14         2   6   3   5   12   2
    + 8*a33 *m1 *m2 *n1 *n2   + 80*a33 *m1 *m2 *n1 *n2  *n3

             2   6   3   5   10   4         2   6   3   3   16
    - 100*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2

            2   6   3   3   14   2         2   6   3   3   12   4
    + 20*a33 *m1 *m2 *n1 *n2  *n3  + 80*a33 *m1 *m2 *n1 *n2  *n3

           2   5   4   16   3        2   5   4   16      2
    - 8*a33 *m1 *m2 *n1  *n2  + 6*a33 *m1 *m2 *n1  *n2*n3

            2   5   4   14   5         2   5   4   14   3   2
    + 32*a33 *m1 *m2 *n1  *n2  - 90*a33 *m1 *m2 *n1  *n2 *n3

            2   5   4   14      4         2   5   4   12   7
    + 24*a33 *m1 *m2 *n1  *n2*n3  + 48*a33 *m1 *m2 *n1  *n2

            2   5   4   12   5   2          2   5   4   12   3   4
    + 78*a33 *m1 *m2 *n1  *n2 *n3  - 156*a33 *m1 *m2 *n1  *n2 *n3

            2   5   4   10   9          2   5   4   10   7   2
    - 72*a33 *m1 *m2 *n1  *n2  + 270*a33 *m1 *m2 *n1  *n2 *n3

            2   5   4   10   5   4         2   5   4   8   11
    + 36*a33 *m1 *m2 *n1  *n2 *n3  - 72*a33 *m1 *m2 *n1 *n2

             2   5   4   8   9   2          2   5   4   8   7   4
    - 114*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

            2   5   4   6   13          2   5   4   6   11   2
    + 48*a33 *m1 *m2 *n1 *n2   - 210*a33 *m1 *m2 *n1 *n2  *n3

             2   5   4   6   9   4         2   5   4   4   15
    - 120*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2

            2   5   4   4   13   2          2   5   4   4   11   4
    + 30*a33 *m1 *m2 *n1 *n2  *n3  - 180*a33 *m1 *m2 *n1 *n2  *n3

           2   5   4   2   17         2   5   4   2   15   2
    - 8*a33 *m1 *m2 *n1 *n2   + 30*a33 *m1 *m2 *n1 *n2  *n3

            2   5   4   2   13   4        2   4   5   17   2
    + 60*a33 *m1 *m2 *n1 *n2  *n3  + 2*a33 *m1 *m2 *n1  *n2

            2   4   5   15   4         2   4   5   15   2   2
    - 28*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

           2   4   5   13   6          2   4   5   13   4   2
    + 8*a33 *m1 *m2 *n1  *n2  - 150*a33 *m1 *m2 *n1  *n2 *n3

            2   4   5   13   2   4          2   4   5   11   8
    + 60*a33 *m1 *m2 *n1  *n2 *n3  + 108*a33 *m1 *m2 *n1  *n2

            2   4   5   11   6   2          2   4   5   11   4   4
    - 90*a33 *m1 *m2 *n1  *n2 *n3  - 180*a33 *m1 *m2 *n1  *n2 *n3

             2   4   5   9   8   2          2   4   5   9   6   4
    + 330*a33 *m1 *m2 *n1 *n2 *n3  - 120*a33 *m1 *m2 *n1 *n2 *n3

             2   4   5   7   12          2   4   5   7   10   2
    - 108*a33 *m1 *m2 *n1 *n2   + 102*a33 *m1 *m2 *n1 *n2  *n3

             2   4   5   7   8   4        2   4   5   5   14
    + 336*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1 *n2

             2   4   5   5   12   2         2   4   5   5   10   4
    - 198*a33 *m1 *m2 *n1 *n2  *n3  + 36*a33 *m1 *m2 *n1 *n2  *n3

            2   4   5   3   16         2   4   5   3   14   2
    + 28*a33 *m1 *m2 *n1 *n2   - 42*a33 *m1 *m2 *n1 *n2  *n3

             2   4   5   3   12   4        2   4   5      18
    - 156*a33 *m1 *m2 *n1 *n2  *n3  - 2*a33 *m1 *m2 *n1*n2

            2   4   5      16   2         2   4   5      14   4
    + 18*a33 *m1 *m2 *n1*n2  *n3  + 24*a33 *m1 *m2 *n1*n2  *n3

           2   3   6   16   3         2   3   6   14   5
    + 8*a33 *m1 *m2 *n1  *n2  - 32*a33 *m1 *m2 *n1  *n2

            2   3   6   14   3   2         2   3   6   12   7
    + 60*a33 *m1 *m2 *n1  *n2 *n3  - 48*a33 *m1 *m2 *n1  *n2

             2   3   6   12   5   2         2   3   6   12   3   4
    - 100*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2 *n3

            2   3   6   10   9          2   3   6   10   7   2
    + 72*a33 *m1 *m2 *n1  *n2  - 220*a33 *m1 *m2 *n1  *n2 *n3

             2   3   6   10   5   4         2   3   6   8   11
    - 100*a33 *m1 *m2 *n1  *n2 *n3  + 72*a33 *m1 *m2 *n1 *n2

             2   3   6   8   9   2          2   3   6   8   7   4
    + 148*a33 *m1 *m2 *n1 *n2 *n3  - 188*a33 *m1 *m2 *n1 *n2 *n3

            2   3   6   6   13          2   3   6   6   11   2
    - 48*a33 *m1 *m2 *n1 *n2   + 204*a33 *m1 *m2 *n1 *n2  *n3

             2   3   6   6   9   4         2   3   6   4   15
    + 168*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2

            2   3   6   4   13   2          2   3   6   4   11   4
    - 52*a33 *m1 *m2 *n1 *n2  *n3  + 104*a33 *m1 *m2 *n1 *n2  *n3

           2   3   6   2   17         2   3   6   2   15   2
    + 8*a33 *m1 *m2 *n1 *n2   - 44*a33 *m1 *m2 *n1 *n2  *n3

            2   3   6   2   13   4        2   3   6   17   2
    - 68*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

           2   3   6   15   4         2   2   7   15   4
    + 4*a33 *m1 *m2 *n2  *n3  + 12*a33 *m1 *m2 *n1  *n2

           2   2   7   13   6         2   2   7   13   4   2
    - 8*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2 *n3

            2   2   7   11   8         2   2   7   11   4   4
    - 52*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2 *n3

             2   2   7   9   8   2         2   2   7   9   6   4
    - 156*a33 *m1 *m2 *n1 *n2 *n3  - 12*a33 *m1 *m2 *n1 *n2 *n3

            2   2   7   7   12         2   2   7   7   10   2
    + 52*a33 *m1 *m2 *n1 *n2   - 24*a33 *m1 *m2 *n1 *n2  *n3

             2   2   7   7   8   4        2   2   7   5   14
    - 120*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

             2   2   7   5   12   2         2   2   7   5   10   4
    + 108*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

            2   2   7   3   16         2   2   7   3   14   2
    - 12*a33 *m1 *m2 *n1 *n2   + 24*a33 *m1 *m2 *n1 *n2  *n3

            2   2   7   3   12   4         2   2   7      16   2
    + 60*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1*n2  *n3

            2   2   7      14   4        2      8   14   5
    - 12*a33 *m1 *m2 *n1*n2  *n3  + 8*a33 *m1*m2 *n1  *n2

           2      8   12   7         2      8   12   5   2
    + 8*a33 *m1*m2 *n1  *n2  + 30*a33 *m1*m2 *n1  *n2 *n3

            2      8   10   9         2      8   10   7   2
    - 16*a33 *m1*m2 *n1  *n2  + 30*a33 *m1*m2 *n1  *n2 *n3

            2      8   10   5   4         2      8   8   11
    + 24*a33 *m1*m2 *n1  *n2 *n3  - 16*a33 *m1*m2 *n1 *n2

            2      8   8   9   2         2      8   8   7   4
    - 42*a33 *m1*m2 *n1 *n2 *n3  + 12*a33 *m1*m2 *n1 *n2 *n3

           2      8   6   13         2      8   6   11   2
    + 8*a33 *m1*m2 *n1 *n2   - 42*a33 *m1*m2 *n1 *n2  *n3

            2      8   6   9   4        2      8   4   15
    - 36*a33 *m1*m2 *n1 *n2 *n3  + 8*a33 *m1*m2 *n1 *n2

            2      8   4   13   2         2      8   4   11   4
    + 12*a33 *m1*m2 *n1 *n2  *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

            2      8   2   15   2         2      8   2   13   4
    + 12*a33 *m1*m2 *n1 *n2  *n3  + 12*a33 *m1*m2 *n1 *n2  *n3

           2   9   13   6        2   9   11   8        2   9   11   6   2
    + 2*a33 *m2 *n1  *n2  + 4*a33 *m2 *n1  *n2  + 6*a33 *m2 *n1  *n2 *n3

            2   9   9   8   2        2   9   9   6   4        2   9   7   12
    + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2

           2   9   7   10   2        2   9   7   8   4        2   9   5   14
    - 2*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3  - 2*a33 *m2 *n1 *n2

            2   9   5   12   2        2   9   5   10   4
    - 10*a33 *m2 *n1 *n2  *n3  - 4*a33 *m2 *n1 *n2  *n3

           2   9   3   14   2        2   9   3   12   4
    - 4*a33 *m2 *n1 *n2  *n3  - 4*a33 *m2 *n1 *n2  *n3 )


          2   6   7   4   3             2   6   7   2   5
r27=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   5   6   3             2   6   5   4   5
      + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   5      8   5                 2   5      8   3   3
      + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      8      5             2   5      6   7
      + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

              2   5      6   5   3              2   5      6   3   5
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      4   9                2   5      4   7   3
      + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   5   5             2   5   9   3   3
      - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   9      5             2   5   7   5   3
      - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

             2   5   7   3   5             2   5   5   7   3
      - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   5   5   5              2   4   2   9   4
      - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   2   9   2   3             2   4   2   9   5
      + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

              2   4   2   7   6                 2   4   2   7   4   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   7   2   5             2   4   2   5   8
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   2   5   6   3              2   4   2   5   4   5
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   2   3   10                 2   4   2   3   8   3
      + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   3   6   5             2   4      10   4
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1  *n2 *n3*r216

             2   4      10   2   3             2   4      10   5
      - 8*a33 *m1 *m2*n1  *n2 *n3 *r216 + 4*a33 *m1 *m2*n1  *n3 *r216

             2   4      8   6                 2   4      8   4   3
      + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      8   2   5             2   4      6   8
      - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

             2   4      6   6   3              2   4      6   4   5
      - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      4   10                2   4      4   8   3
      + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   6   5              2   3   3   10   3
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   3   3   10      3              2   3   3   8   3   3
      - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   8      5              2   3   3   6   7
      - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   3   3   6   5   3              2   3   3   6   3   5
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   4   9                 2   3   3   4   7   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   4   5   5             2   3   3   2   11
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   3   3   2   9   3              2   3   3   2   7   5
      - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   3   2   11   3                2   3   2   11      3
      - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

             2   3   2   9   5                2   3   2   9   3   3
      - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   9      5              2   3   2   7   5   3
      + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   7   3   5             2   3   2   5   9
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   3   2   5   7   3              2   3   2   5   5   5
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   3   11                2   3   2   3   9   3
      + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   7   5             2   2   4   11   2
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   2   4   9   4                 2   2   4   9   2   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   7   6                 2   2   4   7   4   3
      + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   7   2   5              2   2   4   5   6   3
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   5   4   5              2   2   4   3   10
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   2   4   3   8   3              2   2   4   3   6   5
      + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   4      10   3             2   2   4      8   5
      - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   2   3   12   2                2   2   3   10   4
      + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1  *n2 *n3*r216

              2   2   3   10   2   3              2   2   3   8   6
      + 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   3   8   4   3              2   2   3   8   2   5
      + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   6   8                 2   2   3   6   6   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   6   4   5             2   2   3   4   10
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   2   3   4   8   3             2   2   3   4   6   5
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3   2   12                 2   2   3   2   10   3
      + 2*a33 *m1 *m2 *n1 *n2  *n3*r216 - 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   3   2   8   5             2      5   10   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1  *n2 *n3*r214

             2      5   8   5                 2      5   8   3   3
      - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   6   7                 2      5   6   5   3
      + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   6   3   5              2      5   4   9
      - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   4   7   3              2      5   4   5   5
      + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   2   9   3              2      5   2   7   5
      + 16*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

             2      4   11   3                2      4   9   5
      + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

              2      4   9   3   3              2      4   7   5   3
      + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   7   3   5             2      4   5   9
      + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

              2      4   5   7   3              2      4   5   5   5
      + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   3   11                2      4   3   9   3
      - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   3   7   5             2      4      11   3
      + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1*n2  *n3 *r216

             2      4      9   5             2   6   9   4
      - 4*a33 *m1*m2 *n1*n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

             2   6   7   6                 2   6   7   4   3
      - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

             2   6   5   8                 2   6   5   6   3
      - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

             2   6   5   4   5             2   6   3   8   3
      - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   3   6   5             2   5   10   4
      - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1  *n2 *n3*r216

             2   5   8   6                2   5   8   4   3
      + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

             2   5   6   8                 2   5   6   6   3
      + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

             2   5   6   4   5             2   5   4   10
      + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

              2   5   4   8   3             2   5   4   6   5
      + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

             2   5   2   10   3             2   5   2   8   5
      + 4*a33 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

          5   9   5   3            5   9   3   5            5   7   7   3
      + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

            5   7   5   5          5   5   9   3            5   5   7   5
      - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

          4      10   6               4      10   4   3
      + m1 *m2*n1  *n2 *n3*r496 - 3*m1 *m2*n1  *n2 *n3 *r496

            4      8   8               4      8   6   3
      + 3*m1 *m2*n1 *n2 *n3*r496 - 4*m1 *m2*n1 *n2 *n3 *r496

             4      8   4   5            4      6   10
      - 10*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2  *n3*r496

          4      6   8   3             4      6   6   5
      + m1 *m2*n1 *n2 *n3 *r496 - 20*m1 *m2*n1 *n2 *n3 *r496

          4      4   12               4      4   10   3
      + m1 *m2*n1 *n2  *n3*r496 + 2*m1 *m2*n1 *n2  *n3 *r496

             4      4   8   5          3   2   11   5
      - 10*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

             3   2   9   5   3            3   2   7   9
      - 12*m1 *m2 *n1 *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2 *n3*r496

             3   2   7   7   3             3   2   7   5   5
      - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

            3   2   5   11                3   2   5   9   3
      + 8*m1 *m2 *n1 *n2  *n3*r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   5   7   5            3   2   3   13
      - 40*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1 *n2  *n3*r496

            3   2   3   11   3             3   2   3   9   5
      - 2*m1 *m2 *n1 *n2  *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

            2   3   10   6               2   3   8   8
      - 3*m1 *m2 *n1  *n2 *n3*r496 - 6*m1 *m2 *n1 *n2 *n3*r496

             2   3   8   6   3             2   3   6   8   3
      - 18*m1 *m2 *n1 *n2 *n3 *r496 - 44*m1 *m2 *n1 *n2 *n3 *r496

             2   3   6   6   5            2   3   4   12
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2  *n3*r496

             2   3   4   10   3             2   3   4   8   5
      - 34*m1 *m2 *n1 *n2  *n3 *r496 - 40*m1 *m2 *n1 *n2 *n3 *r496

            2   3   2   14               2   3   2   12   3
      + 3*m1 *m2 *n1 *n2  *n3*r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

             2   3   2   10   5               4   9   7
      - 20*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1*m2 *n1 *n2 *n3*r496

               4   7   9                   4   7   7   3
      - 8*m1*m2 *n1 *n2 *n3*r496 - 12*m1*m2 *n1 *n2 *n3 *r496

               4   5   11                   4   5   9   3
      - 6*m1*m2 *n1 *n2  *n3*r496 - 31*m1*m2 *n1 *n2 *n3 *r496

                4   5   7   5                4   3   11   3
      - 10*m1*m2 *n1 *n2 *n3 *r496 - 26*m1*m2 *n1 *n2  *n3 *r496

                4   3   9   5             4      15
      - 20*m1*m2 *n1 *n2 *n3 *r496 + m1*m2 *n1*n2  *n3*r496

               4      13   3                4      11   5
      - 7*m1*m2 *n1*n2  *n3 *r496 - 10*m1*m2 *n1*n2  *n3 *r496

          5   8   8               5   6   10               5   6   8   3
      - m2 *n1 *n2 *n3*r496 - 3*m2 *n1 *n2  *n3*r496 - 3*m2 *n1 *n2 *n3 *r496

            5   4   12               5   4   10   3
      - 3*m2 *n1 *n2  *n3*r496 - 8*m2 *n1 *n2  *n3 *r496

            5   4   8   5          5   2   14               5   2   12   3
      - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2  *n3 *r496

            5   2   10   5            5   14   3            5   12   5
      - 4*m2 *n1 *n2  *n3 *r496 - 2*m2 *n2  *n3 *r496 - 2*m2 *n2  *n3 *r496)/(

        2   5   10   3   2        2   5   10      4        2   5   8   5   2
   2*a33 *m1 *n1  *n2 *n3  - 4*a33 *m1 *n1  *n2*n3  + 2*a33 *m1 *n1 *n2 *n3

           2   5   8   3   4        2   5   6   7   2        2   5   6   5   4
    - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   5   4   9   2        2   5   4   7   4        2   4      11   4
    - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

           2   4      11   2   2        2   4      11   4
    - 8*a33 *m1 *m2*n1  *n2 *n3  + 4*a33 *m1 *m2*n1  *n3

           2   4      9   6        2   4      9   4   2
    + 4*a33 *m1 *m2*n1 *n2  - 6*a33 *m1 *m2*n1 *n2 *n3

            2   4      9   2   4         2   4      7   6   2
    - 12*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2 *n3

            2   4      7   4   4        2   4      5   10
    - 20*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

           2   4      5   8   2         2   4      5   6   4
    + 6*a33 *m1 *m2*n1 *n2 *n3  + 12*a33 *m1 *m2*n1 *n2 *n3

           2   4      3   12        2   4      3   10   2
    - 2*a33 *m1 *m2*n1 *n2   - 2*a33 *m1 *m2*n1 *n2  *n3

            2   4      3   8   4        2   3   2   12   3
    + 16*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

           2   3   2   12      2        2   3   2   10   5
    + 6*a33 *m1 *m2 *n1  *n2*n3  - 4*a33 *m1 *m2 *n1  *n2

            2   3   2   10   3   2         2   3   2   10      4
    - 14*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

           2   3   2   8   7         2   3   2   8   5   2
    + 8*a33 *m1 *m2 *n1 *n2  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   8   3   4        2   3   2   6   9
    - 8*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

           2   3   2   6   7   2         2   3   2   6   5   4
    + 8*a33 *m1 *m2 *n1 *n2 *n3  - 40*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   4   11         2   3   2   4   9   2
    - 4*a33 *m1 *m2 *n1 *n2   + 26*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   4   7   4        2   3   2   2   13
    + 8*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

           2   3   2   2   11   2         2   3   2   2   9   4
    + 6*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   13   2        2   2   3   11   4
    + 2*a33 *m1 *m2 *n1  *n2  - 4*a33 *m1 *m2 *n1  *n2

            2   2   3   11   2   2         2   2   3   9   6
    + 18*a33 *m1 *m2 *n1  *n2 *n3  - 14*a33 *m1 *m2 *n1 *n2

           2   2   3   9   4   2         2   2   3   9   2   4
    + 6*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   7   6   2        2   2   3   7   4   4
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   5   10         2   2   3   5   8   2
    + 14*a33 *m1 *m2 *n1 *n2   - 16*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   5   6   4        2   2   3   3   12
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2

            2   2   3   3   10   2        2   2   3   3   8   4
    + 22*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3      14         2   2   3      12   2
    - 2*a33 *m1 *m2 *n1*n2   + 10*a33 *m1 *m2 *n1*n2  *n3

            2   2   3      10   4        2      4   12   3
    + 16*a33 *m1 *m2 *n1*n2  *n3  + 4*a33 *m1*m2 *n1  *n2

           2      4   10   5         2      4   10   3   2
    + 4*a33 *m1*m2 *n1  *n2  + 18*a33 *m1*m2 *n1  *n2 *n3

           2      4   8   7         2      4   8   5   2
    - 8*a33 *m1*m2 *n1 *n2  + 22*a33 *m1*m2 *n1 *n2 *n3

            2      4   8   3   4        2      4   6   9
    + 16*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1 *n2

            2      4   6   7   2         2      4   6   5   4
    - 18*a33 *m1*m2 *n1 *n2 *n3  + 12*a33 *m1*m2 *n1 *n2 *n3

           2      4   4   11         2      4   4   9   2
    + 4*a33 *m1*m2 *n1 *n2   - 26*a33 *m1*m2 *n1 *n2 *n3

            2      4   4   7   4        2      4   2   13
    - 20*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n1 *n2

            2      4   2   9   4        2      4   13   2
    - 12*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n2  *n3

           2      4   11   4        2   5   11   4        2   5   9   6
    + 4*a33 *m1*m2 *n2  *n3  + 2*a33 *m2 *n1  *n2  + 4*a33 *m2 *n1 *n2

           2   5   9   4   2         2   5   7   6   2        2   5   7   4   4
    + 6*a33 *m2 *n1 *n2 *n3  + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   5   10        2   5   5   8   2        2   5   5   6   4
    - 4*a33 *m2 *n1 *n2   - 2*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   3   12         2   5   3   10   2        2   5   3   8   4
    - 2*a33 *m2 *n1 *n2   - 10*a33 *m2 *n1 *n2  *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5      12   2        2   5      10   4
    - 4*a33 *m2 *n1*n2  *n3  - 4*a33 *m2 *n1*n2  *n3 )


             2   6   6   5   3             2   6   6   3   5
r28=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   4   7   3             2   6   4   5   5
      - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

             2   5      7   6                 2   5      7   4   3
      - 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      7   2   5             2   5      5   8
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *n3*r214

              2   5      5   6   3              2   5      5   4   5
      + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5      3   10                2   5      3   8   3
      - 4*a33 *m1 *m2*n1 *n2  *n3*r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   6   5             2   5   8   4   3
      + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   8   2   5             2   5   6   6   3
      + 4*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

             2   5   6   4   5             2   5   4   8   3
      + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

             2   5   4   6   5              2   4   2   8   5
      + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   2   8   3   3             2   4   2   8      5
      - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2*n3 *r214

              2   4   2   6   7                 2   4   2   6   5   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   6   3   5             2   4   2   4   9
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   4   2   4   7   3              2   4   2   4   5   5
      + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   2   2   11                 2   4   2   2   9   3
      - 8*a33 *m1 *m2 *n1 *n2  *n3*r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   7   5             2   4      9   5
      + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *n3*r216

             2   4      9   3   3             2   4      9      5
      + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 4*a33 *m1 *m2*n1 *n2*n3 *r216

             2   4      7   7                 2   4      7   5   3
      - 6*a33 *m1 *m2*n1 *n2 *n3*r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      7   3   5             2   4      5   9
      + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *n3*r216

             2   4      5   7   3              2   4      5   5   5
      + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      3   11                2   4      3   9   3
      - 2*a33 *m1 *m2*n1 *n2  *n3*r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   7   5              2   3   3   9   4
      + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   3   3   9   2   3              2   3   3   7   4   3
      + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   7   2   5              2   3   3   5   8
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3*r214

              2   3   3   5   6   3              2   3   3   5   4   5
      - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   3   10                 2   3   3   3   8   3
      + 16*a33 *m1 *m2 *n1 *n2  *n3*r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   3   6   5             2   3   3      12
      - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *n3*r214

              2   3   3      10   3              2   3   3      8   5
      + 20*a33 *m1 *m2 *n1*n2  *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   3   2   10   4                2   3   2   10   2   3
      + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   3   2   8   6                2   3   2   8   4   3
      + 8*a33 *m1 *m2 *n1 *n2 *n3*r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   8   2   5              2   3   2   6   6   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   6   4   5             2   3   2   4   10
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   3   2   4   8   3              2   3   2   4   6   5
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   2   12                2   3   2   2   10   3
      - 4*a33 *m1 *m2 *n1 *n2  *n3*r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   2   2   8   5             2   2   4   10   3
      + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *n3*r214

              2   2   4   8   5                 2   2   4   8   3   3
      - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   7                 2   2   4   6   5   3
      - 32*a33 *m1 *m2 *n1 *n2 *n3*r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   3   5              2   2   4   4   7   3
      + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   4   5   5              2   2   4   2   11
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3*r214

              2   2   4   2   9   3              2   2   4   2   7   5
      - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   4   11   3             2   2   4   9   5
      + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

             2   2   3   11   3                2   2   3   9   5
      - 2*a33 *m1 *m2 *n1  *n2 *n3*r216 + 2*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   3   9   3   3              2   2   3   7   7
      - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3*r216

              2   2   3   7   5   3              2   2   3   7   3   5
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   9                 2   2   3   5   7   3
      + 16*a33 *m1 *m2 *n1 *n2 *n3*r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   5   5   5             2   2   3   3   11
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   2   3   3   9   3             2   2   3   3   7   5
      + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3      13                 2   2   3      11   3
      - 2*a33 *m1 *m2 *n1*n2  *n3*r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   3      9   5             2      5   9   4
      + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r214

             2      5   7   6                 2      5   7   4   3
      + 4*a33 *m1*m2 *n1 *n2 *n3*r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   5   8                 2      5   5   6   3
      - 16*a33 *m1*m2 *n1 *n2 *n3*r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   5   4   5              2      5   3   10
      + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2  *n3*r214

              2      5   3   8   3              2      5   3   6   5
      - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5      10   3              2      5      8   5
      - 16*a33 *m1*m2 *n1*n2  *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

             2      4   10   4                2      4   8   6
      - 4*a33 *m1*m2 *n1  *n2 *n3*r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

              2      4   8   4   3              2      4   6   6   3
      - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   6   4   5             2      4   4   10
      - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2  *n3*r216

              2      4   4   8   3              2      4   4   6   5
      - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   2   12                2      4   2   10   3
      + 4*a33 *m1*m2 *n1 *n2  *n3*r216 + 4*a33 *m1*m2 *n1 *n2  *n3 *r216

             2      4   2   8   5             2      4   12   3
      - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

             2      4   10   5             2   6   8   5
      + 4*a33 *m1*m2 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3*r214

             2   6   6   7                 2   6   6   5   3
      + 8*a33 *m2 *n1 *n2 *n3*r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

             2   6   4   9                 2   6   4   7   3
      + 4*a33 *m2 *n1 *n2 *n3*r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

             2   6   4   5   5             2   6   2   9   3
      + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

             2   6   2   7   5             2   5   9   5
      + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *n3*r216

             2   5   7   7                2   5   7   5   3
      - 6*a33 *m2 *n1 *n2 *n3*r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

             2   5   5   9                 2   5   5   7   3
      - 6*a33 *m2 *n1 *n2 *n3*r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

             2   5   5   5   5             2   5   3   11
      - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *n3*r216

              2   5   3   9   3             2   5   3   7   5
      - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

             2   5      11   3             2   5      9   5
      - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

          5   12   2   3            5   12   5            5   10   4   3
      - m1 *n1  *n2 *n3 *r496 + 2*m1 *n1  *n3 *r496 - 2*m1 *n1  *n2 *n3 *r496

            5   10   2   5          5   8   6   3            5   8   4   5
      + 4*m1 *n1  *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

          4      13   3               4      13      3
      - m1 *m2*n1  *n2 *n3*r496 + 3*m1 *m2*n1  *n2*n3 *r496

            4      11   5               4      11   3   3
      - 3*m1 *m2*n1  *n2 *n3*r496 + 4*m1 *m2*n1  *n2 *n3 *r496

             4      11      5            4      9   7
      + 10*m1 *m2*n1  *n2*n3 *r496 - 3*m1 *m2*n1 *n2 *n3*r496

          4      9   5   3             4      9   3   5
      - m1 *m2*n1 *n2 *n3 *r496 + 20*m1 *m2*n1 *n2 *n3 *r496

          4      7   9               4      7   7   3
      - m1 *m2*n1 *n2 *n3*r496 - 2*m1 *m2*n1 *n2 *n3 *r496

             4      7   5   5          3   2   14   2
      + 10*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *n3*r496

             3   2   12   2   3            3   2   10   6
      + 12*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1  *n2 *n3*r496

             3   2   10   4   3             3   2   10   2   5
      + 26*m1 *m2 *n1  *n2 *n3 *r496 + 20*m1 *m2 *n1  *n2 *n3 *r496

            3   2   8   8                3   2   8   6   3
      - 8*m1 *m2 *n1 *n2 *n3*r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   8   4   5            3   2   6   10
      + 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *n3*r496

            3   2   6   8   3             3   2   6   6   5
      + 2*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

            2   3   13   3               2   3   11   5
      + 3*m1 *m2 *n1  *n2 *n3*r496 + 6*m1 *m2 *n1  *n2 *n3*r496

             2   3   11   3   3             2   3   9   5   3
      + 18*m1 *m2 *n1  *n2 *n3 *r496 + 44*m1 *m2 *n1 *n2 *n3 *r496

             2   3   9   3   5            2   3   7   9
      + 20*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2 *n3*r496

             2   3   7   7   3             2   3   7   5   5
      + 34*m1 *m2 *n1 *n2 *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

            2   3   5   11               2   3   5   9   3
      - 3*m1 *m2 *n1 *n2  *n3*r496 + 8*m1 *m2 *n1 *n2 *n3 *r496

             2   3   5   7   5               4   12   4
      + 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1*m2 *n1  *n2 *n3*r496

               4   10   6                   4   10   4   3
      + 8*m1*m2 *n1  *n2 *n3*r496 + 12*m1*m2 *n1  *n2 *n3 *r496

               4   8   8                   4   8   6   3
      + 6*m1*m2 *n1 *n2 *n3*r496 + 31*m1*m2 *n1 *n2 *n3 *r496

                4   8   4   5                4   6   8   3
      + 10*m1*m2 *n1 *n2 *n3 *r496 + 26*m1*m2 *n1 *n2 *n3 *r496

                4   6   6   5             4   4   12
      + 20*m1*m2 *n1 *n2 *n3 *r496 - m1*m2 *n1 *n2  *n3*r496

               4   4   10   3                4   4   8   5
      + 7*m1*m2 *n1 *n2  *n3 *r496 + 10*m1*m2 *n1 *n2 *n3 *r496

          5   11   5               5   9   7               5   9   5   3
      + m2 *n1  *n2 *n3*r496 + 3*m2 *n1 *n2 *n3*r496 + 3*m2 *n1 *n2 *n3 *r496

            5   7   9               5   7   7   3            5   7   5   5
      + 3*m2 *n1 *n2 *n3*r496 + 8*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2 *n3 *r496

          5   5   11               5   5   9   3            5   5   7   5
      + m2 *n1 *n2  *n3*r496 + 7*m2 *n1 *n2 *n3 *r496 + 4*m2 *n1 *n2 *n3 *r496

            5   3   11   3            5   3   9   5
      + 2*m2 *n1 *n2  *n3 *r496 + 2*m2 *n1 *n2 *n3 *r496)/(

        2   5   10   3   2        2   5   10      4        2   5   8   5   2
   2*a33 *m1 *n1  *n2 *n3  - 4*a33 *m1 *n1  *n2*n3  + 2*a33 *m1 *n1 *n2 *n3

           2   5   8   3   4        2   5   6   7   2        2   5   6   5   4
    - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   5   4   9   2        2   5   4   7   4        2   4      11   4
    - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

           2   4      11   2   2        2   4      11   4
    - 8*a33 *m1 *m2*n1  *n2 *n3  + 4*a33 *m1 *m2*n1  *n3

           2   4      9   6        2   4      9   4   2
    + 4*a33 *m1 *m2*n1 *n2  - 6*a33 *m1 *m2*n1 *n2 *n3

            2   4      9   2   4         2   4      7   6   2
    - 12*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2 *n3

            2   4      7   4   4        2   4      5   10
    - 20*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

           2   4      5   8   2         2   4      5   6   4
    + 6*a33 *m1 *m2*n1 *n2 *n3  + 12*a33 *m1 *m2*n1 *n2 *n3

           2   4      3   12        2   4      3   10   2
    - 2*a33 *m1 *m2*n1 *n2   - 2*a33 *m1 *m2*n1 *n2  *n3

            2   4      3   8   4        2   3   2   12   3
    + 16*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

           2   3   2   12      2        2   3   2   10   5
    + 6*a33 *m1 *m2 *n1  *n2*n3  - 4*a33 *m1 *m2 *n1  *n2

            2   3   2   10   3   2         2   3   2   10      4
    - 14*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

           2   3   2   8   7         2   3   2   8   5   2
    + 8*a33 *m1 *m2 *n1 *n2  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   8   3   4        2   3   2   6   9
    - 8*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

           2   3   2   6   7   2         2   3   2   6   5   4
    + 8*a33 *m1 *m2 *n1 *n2 *n3  - 40*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   4   11         2   3   2   4   9   2
    - 4*a33 *m1 *m2 *n1 *n2   + 26*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   4   7   4        2   3   2   2   13
    + 8*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

           2   3   2   2   11   2         2   3   2   2   9   4
    + 6*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   13   2        2   2   3   11   4
    + 2*a33 *m1 *m2 *n1  *n2  - 4*a33 *m1 *m2 *n1  *n2

            2   2   3   11   2   2         2   2   3   9   6
    + 18*a33 *m1 *m2 *n1  *n2 *n3  - 14*a33 *m1 *m2 *n1 *n2

           2   2   3   9   4   2         2   2   3   9   2   4
    + 6*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   7   6   2        2   2   3   7   4   4
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   5   10         2   2   3   5   8   2
    + 14*a33 *m1 *m2 *n1 *n2   - 16*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   5   6   4        2   2   3   3   12
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2

            2   2   3   3   10   2        2   2   3   3   8   4
    + 22*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3      14         2   2   3      12   2
    - 2*a33 *m1 *m2 *n1*n2   + 10*a33 *m1 *m2 *n1*n2  *n3

            2   2   3      10   4        2      4   12   3
    + 16*a33 *m1 *m2 *n1*n2  *n3  + 4*a33 *m1*m2 *n1  *n2

           2      4   10   5         2      4   10   3   2
    + 4*a33 *m1*m2 *n1  *n2  + 18*a33 *m1*m2 *n1  *n2 *n3

           2      4   8   7         2      4   8   5   2
    - 8*a33 *m1*m2 *n1 *n2  + 22*a33 *m1*m2 *n1 *n2 *n3

            2      4   8   3   4        2      4   6   9
    + 16*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1 *n2

            2      4   6   7   2         2      4   6   5   4
    - 18*a33 *m1*m2 *n1 *n2 *n3  + 12*a33 *m1*m2 *n1 *n2 *n3

           2      4   4   11         2      4   4   9   2
    + 4*a33 *m1*m2 *n1 *n2   - 26*a33 *m1*m2 *n1 *n2 *n3

            2      4   4   7   4        2      4   2   13
    - 20*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n1 *n2

            2      4   2   9   4        2      4   13   2
    - 12*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n2  *n3

           2      4   11   4        2   5   11   4        2   5   9   6
    + 4*a33 *m1*m2 *n2  *n3  + 2*a33 *m2 *n1  *n2  + 4*a33 *m2 *n1 *n2

           2   5   9   4   2         2   5   7   6   2        2   5   7   4   4
    + 6*a33 *m2 *n1 *n2 *n3  + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   5   10        2   5   5   8   2        2   5   5   6   4
    - 4*a33 *m2 *n1 *n2   - 2*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   3   12         2   5   3   10   2        2   5   3   8   4
    - 2*a33 *m2 *n1 *n2   - 10*a33 *m2 *n1 *n2  *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5      12   2        2   5      10   4
    - 4*a33 *m2 *n1*n2  *n3  - 4*a33 *m2 *n1*n2  *n3 )


           2   6   6   5   3             2   6   6   3   5
r210=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   7   3             2   6   4   5   5
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   6                 2   5      7   4   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7   2   5             2   5      5   8
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   6   3              2   5      5   4   5
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   10                2   5      3   8   3
       + 4*a33 *m1 *m2*n1 *n2  *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   6   5             2   5   8   4   3
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8   2   5             2   5   6   6   3
       - 4*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   4   5             2   5   4   8   3
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   6   5              2   4   2   8   5
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   3   3             2   4   2   8      5
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2*n3 *r214

               2   4   2   6   7                 2   4   2   6   5   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   3   5             2   4   2   4   9
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   7   3              2   4   2   4   5   5
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   11                 2   4   2   2   9   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   7   5             2   4      9   5
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   3   3             2   4      9      5
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n2*n3 *r216

              2   4      7   7                 2   4      7   5   3
       + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   3   5             2   4      5   9
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   7   3              2   4      5   5   5
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   11                2   4      3   9   3
       + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   7   5              2   3   3   9   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9   2   3              2   3   3   7   4   3
       - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7   2   5              2   3   3   5   8
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   6   3              2   3   3   5   4   5
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   10                 2   3   3   3   8   3
       - 16*a33 *m1 *m2 *n1 *n2  *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   6   5             2   3   3      12
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      10   3              2   3   3      8   5
       - 20*a33 *m1 *m2 *n1*n2  *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   4                2   3   2   10   2   3
       - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   2   8   6                2   3   2   8   4   3
       - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8   2   5              2   3   2   6   6   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   4   5             2   3   2   4   10
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   3   2   4   8   3              2   3   2   4   6   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   12                2   3   2   2   10   3
       + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   2   2   8   5             2   2   4   10   3
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   5                 2   2   4   8   3   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   7                 2   2   4   6   5   3
       + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   3   5              2   2   4   4   7   3
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   5   5              2   2   4   2   11
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   9   3              2   2   4   2   7   5
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   11   3             2   2   4   9   5
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   3                2   2   3   9   5
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   3   3              2   2   3   7   7
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   5   3              2   2   3   7   3   5
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   9                 2   2   3   5   7   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   5   5             2   2   3   3   11
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   9   3             2   2   3   3   7   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      13                 2   2   3      11   3
       + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      9   5             2      5   9   4
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   6                 2      5   7   4   3
       - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   8                 2      5   5   6   3
       + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   4   5              2      5   3   10
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2  *n3*r214

               2      5   3   8   3              2      5   3   6   5
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      10   3              2      5      8   5
       + 16*a33 *m1*m2 *n1*n2  *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   4                2      4   8   6
       + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   4   3              2      4   6   6   3
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   4   5             2      4   4   10
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2  *n3*r216

               2      4   4   8   3              2      4   4   6   5
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   12                2      4   2   10   3
       - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      4   2   8   5             2      4   12   3
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   10   5             2   6   8   5
       - 4*a33 *m1*m2 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   7                 2   6   6   5   3
       - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   9                 2   6   4   7   3
       - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   5   5             2   6   2   9   3
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   7   5             2   5   9   5
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   7                2   5   7   5   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   9                 2   5   5   7   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   5   5             2   5   3   11
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   9   3             2   5   3   7   5
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      11   3             2   5      9   5
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

           5   8   6   3            5   8   4   5            5   6   8   3
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   6   6   5          5   4   10   3            5   4   8   5
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2  *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      11   3   3            4      11      5
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n2*n3 *r496

           4      9   7             4      9   5   3
       + m1 *m2*n1 *n2 *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

             4      9   3   5            4      7   9
       - 4*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *n3*r496

             4      7   7   3             4      7   5   5
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      5   11             4      5   9   3
       + 3*m1 *m2*n1 *n2  *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

              4      5   7   5          4      3   13
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *n3*r496

           4      3   11   3            4      3   9   5
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   4               3   2   12   2   3
       + m1 *m2 *n1  *n2 *n3*r496 - 3*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   6               3   2   10   4   3
       + 2*m1 *m2 *n1  *n2 *n3*r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   2   5            3   2   8   8
       - 8*m1 *m2 *n1  *n2 *n3 *r496 + 2*m1 *m2 *n1 *n2 *n3*r496

              3   2   8   6   3             3   2   8   4   5
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   10                3   2   6   8   3
       + 4*m1 *m2 *n1 *n2  *n3*r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   6   5            3   2   4   12
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *n3*r496

              3   2   4   10   3             3   2   4   8   5
       - 15*m1 *m2 *n1 *n2  *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   14               3   2   2   12   3
       + 2*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   10   5          2   3   13   3
       - 12*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

           2   3   11   5               2   3   11   3   3
       - m1 *m2 *n1  *n2 *n3*r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   9   7                2   3   9   5   3
       + m1 *m2 *n1 *n2 *n3*r496 - 21*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   3   5             2   3   7   7   3
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   5   5          2   3   5   11
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *n3*r496

              2   3   5   9   3             2   3   5   7   5
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   3   13                2   3   3   11   3
       + m1 *m2 *n1 *n2  *n3*r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   9   5          2   3      15
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *n3*r496

             2   3      13   3            2   3      11   5
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   4                  4   10   6
       - 2*m1*m2 *n1  *n2 *n3*r496 - 5*m1*m2 *n1  *n2 *n3*r496

                4   10   4   3               4   8   8
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *n3*r496

                 4   8   6   3               4   8   4   5
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   6   10                   4   6   8   3
       - 2*m1*m2 *n1 *n2  *n3*r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   6   6   5               4   4   12
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *n3*r496

                 4   4   10   3                4   4   8   5
       - 13*m1*m2 *n1 *n2  *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   2   14                  4   2   12   3
       - m1*m2 *n1 *n2  *n3*r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   2   10   5               4   14   3
       - 4*m1*m2 *n1 *n2  *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   12   5          5   11   5               5   9   7
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *n3*r496 - 3*m2 *n1 *n2 *n3*r496

             5   9   5   3            5   7   9               5   7   7   3
       - 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *n3*r496 - 8*m2 *n1 *n2 *n3 *r496

             5   7   5   5          5   5   11               5   5   9   3
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2 *n3 *r496

             5   5   7   5            5   3   11   3
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   3   9   5             2   5   9   4   2
       - 2*m2 *n1 *n2 *n3 *r496)/(2*a33 *m1 *n1 *n2 *n3

           2   5   9   2   4        2   5   7   6   2        2   5   7   4   4
    - 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3

           2   5   5   8   2        2   5   5   6   4        2   5   3   10   2
    - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2  *n3

           2   5   3   8   4        2   4      10   5
    + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

            2   4      10   3   2        2   4      10      4
    - 10*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2*n3

           2   4      8   7         2   4      8   5   2
    + 4*a33 *m1 *m2*n1 *n2  - 10*a33 *m1 *m2*n1 *n2 *n3

           2   4      8   3   4         2   4      6   7   2
    - 4*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2 *n3

            2   4      6   5   4        2   4      4   11
    - 20*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

            2   4      4   9   2        2   4      4   7   4
    + 10*a33 *m1 *m2*n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2 *n3

           2   4      2   13         2   4      2   9   4
    - 2*a33 *m1 *m2*n1 *n2   + 12*a33 *m1 *m2*n1 *n2 *n3

           2   3   2   11   4         2   3   2   11   2   2
    - 6*a33 *m1 *m2 *n1  *n2  + 14*a33 *m1 *m2 *n1  *n2 *n3

           2   3   2   11   4         2   3   2   9   6
    - 4*a33 *m1 *m2 *n1  *n3  - 10*a33 *m1 *m2 *n1 *n2

           2   3   2   9   4   2         2   3   2   9   2   4
    + 2*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   7   8         2   3   2   7   6   2
    + 4*a33 *m1 *m2 *n1 *n2  - 32*a33 *m1 *m2 *n1 *n2 *n3

            2   3   2   7   4   4         2   3   2   5   10
    + 16*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

           2   3   2   5   8   2         2   3   2   5   6   4
    - 8*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   3   12         2   3   2   3   10   2
    + 2*a33 *m1 *m2 *n1 *n2   + 18*a33 *m1 *m2 *n1 *n2  *n3

            2   3   2   3   8   4        2   3   2      14
    - 12*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1*n2

           2   3   2      12   2         2   3   2      10   4
    + 6*a33 *m1 *m2 *n1*n2  *n3  + 12*a33 *m1 *m2 *n1*n2  *n3

           2   2   3   12   3        2   2   3   12      2
    + 6*a33 *m1 *m2 *n1  *n2  - 6*a33 *m1 *m2 *n1  *n2*n3

           2   2   3   10   5         2   2   3   10   3   2
    + 6*a33 *m1 *m2 *n1  *n2  + 18*a33 *m1 *m2 *n1  *n2 *n3

            2   2   3   10      4         2   2   3   8   7
    - 12*a33 *m1 *m2 *n1  *n2*n3  - 12*a33 *m1 *m2 *n1 *n2

            2   2   3   8   5   2         2   2   3   8   3   4
    + 36*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   9         2   2   3   6   7   2
    - 12*a33 *m1 *m2 *n1 *n2  - 16*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   5   4        2   2   3   4   11
    + 32*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

            2   2   3   4   9   2         2   2   3   4   7   4
    - 34*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   2   13        2   2   3   2   11   2
    + 6*a33 *m1 *m2 *n1 *n2   - 2*a33 *m1 *m2 *n1 *n2  *n3

            2   2   3   2   9   4        2   2   3   13   2
    - 20*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n2  *n3

           2   2   3   11   4        2      4   13   2        2      4   11   4
    + 4*a33 *m1 *m2 *n2  *n3  - 2*a33 *m1*m2 *n1  *n2  + 2*a33 *m1*m2 *n1  *n2

            2      4   11   2   2         2      4   9   6
    - 12*a33 *m1*m2 *n1  *n2 *n3  + 12*a33 *m1*m2 *n1 *n2

           2      4   9   4   2         2      4   9   2   4
    - 6*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   8         2      4   7   6   2
    + 4*a33 *m1*m2 *n1 *n2  + 26*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   4   4         2      4   5   10
    - 4*a33 *m1*m2 *n1 *n2 *n3  - 10*a33 *m1*m2 *n1 *n2

            2      4   5   8   2         2      4   5   6   4
    + 14*a33 *m1*m2 *n1 *n2 *n3  + 20*a33 *m1*m2 *n1 *n2 *n3

           2      4   3   12         2      4   3   10   2
    - 6*a33 *m1*m2 *n1 *n2   - 14*a33 *m1*m2 *n1 *n2  *n3

           2      4   3   8   4        2      4      12   2
    + 4*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1*n2  *n3

           2      4      10   4        2   5   12   3        2   5   10   5
    - 8*a33 *m1*m2 *n1*n2  *n3  - 2*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1  *n2

           2   5   10   3   2         2   5   8   5   2        2   5   8   3   4
    - 6*a33 *m2 *n1  *n2 *n3  - 10*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   6   9        2   5   6   7   2        2   5   6   5   4
    + 4*a33 *m2 *n1 *n2  + 2*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   4   11         2   5   4   9   2        2   5   4   7   4
    + 2*a33 *m2 *n1 *n2   + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   2   11   2        2   5   2   9   4
    + 4*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3 )


           2   2   2             2                         2   2   2
r212=(4*a33 *m1 *n2 *r214 - 8*a33 *m1*m2*n1*n2*r214 + 4*a33 *m2 *n1 *r214

              4                2   3             3   2                4
       - m1*n1 *n2*r496 - m1*n1 *n2 *r496 - m2*n1 *n2 *r496 - m2*n1*n2 *r496)/(

        2      2           2      3        2      3        2         2
   2*a33 *m1*n1 *n2 + 2*a33 *m1*n2  - 2*a33 *m2*n1  - 2*a33 *m2*n1*n2 )


              2   6   6   5   3             2   6   6   3   5
r213=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   7   3             2   6   4   5   5
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   6                 2   5      7   4   3
       - 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7   2   5             2   5      5   8
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   6   3              2   5      5   4   5
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   10                2   5      3   8   3
       - 4*a33 *m1 *m2*n1 *n2  *n3*r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   6   5             2   5   8   4   3
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8   2   5             2   5   6   6   3
       + 4*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   4   5             2   5   4   8   3
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   6   5              2   4   2   8   5
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   3   3             2   4   2   8      5
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2*n3 *r214

               2   4   2   6   7                 2   4   2   6   5   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   3   5             2   4   2   4   9
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   7   3              2   4   2   4   5   5
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   11                 2   4   2   2   9   3
       - 8*a33 *m1 *m2 *n1 *n2  *n3*r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   7   5             2   4      9   5
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   3   3             2   4      9      5
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 4*a33 *m1 *m2*n1 *n2*n3 *r216

              2   4      7   7                 2   4      7   5   3
       - 6*a33 *m1 *m2*n1 *n2 *n3*r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   3   5             2   4      5   9
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   7   3              2   4      5   5   5
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   11                2   4      3   9   3
       - 2*a33 *m1 *m2*n1 *n2  *n3*r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   7   5              2   3   3   9   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9   2   3              2   3   3   7   4   3
       + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7   2   5              2   3   3   5   8
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   6   3              2   3   3   5   4   5
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   10                 2   3   3   3   8   3
       + 16*a33 *m1 *m2 *n1 *n2  *n3*r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   6   5             2   3   3      12
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      10   3              2   3   3      8   5
       + 20*a33 *m1 *m2 *n1*n2  *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   4                2   3   2   10   2   3
       + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   2   8   6                2   3   2   8   4   3
       + 8*a33 *m1 *m2 *n1 *n2 *n3*r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8   2   5              2   3   2   6   6   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   4   5             2   3   2   4   10
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   3   2   4   8   3              2   3   2   4   6   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   12                2   3   2   2   10   3
       - 4*a33 *m1 *m2 *n1 *n2  *n3*r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   2   2   8   5             2   2   4   10   3
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   5                 2   2   4   8   3   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   7                 2   2   4   6   5   3
       - 32*a33 *m1 *m2 *n1 *n2 *n3*r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   3   5              2   2   4   4   7   3
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   5   5              2   2   4   2   11
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   9   3              2   2   4   2   7   5
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   11   3             2   2   4   9   5
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   3                2   2   3   9   5
       - 2*a33 *m1 *m2 *n1  *n2 *n3*r216 + 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   3   3              2   2   3   7   7
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   5   3              2   2   3   7   3   5
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   9                 2   2   3   5   7   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   5   5             2   2   3   3   11
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   9   3             2   2   3   3   7   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      13                 2   2   3      11   3
       - 2*a33 *m1 *m2 *n1*n2  *n3*r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      9   5             2      5   9   4
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   6                 2      5   7   4   3
       + 4*a33 *m1*m2 *n1 *n2 *n3*r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   8                 2      5   5   6   3
       - 16*a33 *m1*m2 *n1 *n2 *n3*r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   4   5              2      5   3   10
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2  *n3*r214

               2      5   3   8   3              2      5   3   6   5
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      10   3              2      5      8   5
       - 16*a33 *m1*m2 *n1*n2  *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   4                2      4   8   6
       - 4*a33 *m1*m2 *n1  *n2 *n3*r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   4   3              2      4   6   6   3
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   4   5             2      4   4   10
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2  *n3*r216

               2      4   4   8   3              2      4   4   6   5
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   12                2      4   2   10   3
       + 4*a33 *m1*m2 *n1 *n2  *n3*r216 + 4*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      4   2   8   5             2      4   12   3
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   10   5             2   6   8   5
       + 4*a33 *m1*m2 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   7                 2   6   6   5   3
       + 8*a33 *m2 *n1 *n2 *n3*r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   9                 2   6   4   7   3
       + 4*a33 *m2 *n1 *n2 *n3*r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   5   5             2   6   2   9   3
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   7   5             2   5   9   5
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   7                2   5   7   5   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   9                 2   5   5   7   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   5   5             2   5   3   11
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   9   3             2   5   3   7   5
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      11   3             2   5      9   5
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

           5   10   4   3            5   10   2   5
       - m1 *n1  *n2 *n3 *r496 + 2*m1 *n1  *n2 *n3 *r496

             5   8   6   3            5   8   4   5          5   6   8   3
       - 2*m1 *n1 *n2 *n3 *r496 + 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496

             5   6   6   5          4      11   5
       + 2*m1 *n1 *n2 *n3 *r496 - m1 *m2*n1  *n2 *n3*r496

             4      11   3   3            4      9   7
       + 3*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *n3*r496

             4      9   5   3             4      9   3   5
       + 4*m1 *m2*n1 *n2 *n3 *r496 + 10*m1 *m2*n1 *n2 *n3 *r496

             4      7   9             4      7   7   3
       - 3*m1 *m2*n1 *n2 *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

              4      7   5   5          4      5   11
       + 20*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *n3*r496

             4      5   9   3             4      5   7   5
       - 2*m1 *m2*n1 *n2 *n3 *r496 + 10*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   4                3   2   10   4   3
       + m1 *m2 *n1  *n2 *n3*r496 + 12*m1 *m2 *n1  *n2 *n3 *r496

             3   2   8   8                3   2   8   6   3
       - 6*m1 *m2 *n1 *n2 *n3*r496 + 26*m1 *m2 *n1 *n2 *n3 *r496

              3   2   8   4   5            3   2   6   10
       + 20*m1 *m2 *n1 *n2 *n3 *r496 - 8*m1 *m2 *n1 *n2  *n3*r496

              3   2   6   8   3             3   2   6   6   5
       + 16*m1 *m2 *n1 *n2 *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

             3   2   4   12               3   2   4   10   3
       - 3*m1 *m2 *n1 *n2  *n3*r496 + 2*m1 *m2 *n1 *n2  *n3 *r496

              3   2   4   8   5            2   3   11   5
       + 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1  *n2 *n3*r496

             2   3   9   7                2   3   9   5   3
       + 6*m1 *m2 *n1 *n2 *n3*r496 + 18*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   7   3             2   3   7   5   5
       + 44*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

             2   3   5   11                2   3   5   9   3
       - 6*m1 *m2 *n1 *n2  *n3*r496 + 34*m1 *m2 *n1 *n2 *n3 *r496

              2   3   5   7   5            2   3   3   13
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *n3*r496

             2   3   3   11   3             2   3   3   9   5
       + 8*m1 *m2 *n1 *n2  *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

                4   10   6                  4   8   8
       + 3*m1*m2 *n1  *n2 *n3*r496 + 8*m1*m2 *n1 *n2 *n3*r496

                 4   8   6   3               4   6   10
       + 12*m1*m2 *n1 *n2 *n3 *r496 + 6*m1*m2 *n1 *n2  *n3*r496

                 4   6   8   3                4   6   6   5
       + 31*m1*m2 *n1 *n2 *n3 *r496 + 10*m1*m2 *n1 *n2 *n3 *r496

                 4   4   10   3                4   4   8   5
       + 26*m1*m2 *n1 *n2  *n3 *r496 + 20*m1*m2 *n1 *n2 *n3 *r496

              4   2   14                  4   2   12   3
       - m1*m2 *n1 *n2  *n3*r496 + 7*m1*m2 *n1 *n2  *n3 *r496

                 4   2   10   5          5   9   7
       + 10*m1*m2 *n1 *n2  *n3 *r496 + m2 *n1 *n2 *n3*r496

             5   7   9               5   7   7   3            5   5   11
       + 3*m2 *n1 *n2 *n3*r496 + 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2  *n3*r496

             5   5   9   3            5   5   7   5          5   3   13
       + 8*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2  *n3*r496

             5   3   11   3            5   3   9   5
       + 7*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2 *n3 *r496

             5      13   3            5      11   5
       + 2*m2 *n1*n2  *n3 *r496 + 2*m2 *n1*n2  *n3 *r496)/(

        2   6   8   4   2        2   6   8   2   4        2   6   4   8   2
   2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3

           2   6   4   6   4        2   5      9   5
    + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1 *n2

            2   5      9   3   2        2   5      9      4
    - 10*a33 *m1 *m2*n1 *n2 *n3  + 8*a33 *m1 *m2*n1 *n2*n3

           2   5      7   7        2   5      7   5   2
    + 2*a33 *m1 *m2*n1 *n2  + 2*a33 *m1 *m2*n1 *n2 *n3

            2   5      7   3   4        2   5      5   9
    - 16*a33 *m1 *m2*n1 *n2 *n3  - 2*a33 *m1 *m2*n1 *n2

            2   5      5   7   2        2   5      5   5   4
    + 10*a33 *m1 *m2*n1 *n2 *n3  - 8*a33 *m1 *m2*n1 *n2 *n3

           2   5      3   11        2   5      3   9   2
    - 2*a33 *m1 *m2*n1 *n2   - 2*a33 *m1 *m2*n1 *n2 *n3

            2   5      3   7   4        2   4   2   10   4
    + 16*a33 *m1 *m2*n1 *n2 *n3  - 6*a33 *m1 *m2 *n1  *n2

            2   4   2   10   2   2        2   4   2   10   4
    + 14*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

           2   4   2   8   6         2   4   2   8   4   2
    - 2*a33 *m1 *m2 *n1 *n2  - 22*a33 *m1 *m2 *n1 *n2 *n3

            2   4   2   8   2   4         2   4   2   6   8
    + 32*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

            2   4   2   6   6   2         2   4   2   6   4   4
    - 20*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2 *n3

           2   4   2   4   10         2   4   2   4   8   2
    + 2*a33 *m1 *m2 *n1 *n2   + 22*a33 *m1 *m2 *n1 *n2 *n3

            2   4   2   4   6   4        2   4   2   2   12
    - 32*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

           2   4   2   2   10   2         2   4   2   2   8   4
    + 6*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

           2   3   3   11   3        2   3   3   11      2
    + 6*a33 *m1 *m2 *n1  *n2  - 6*a33 *m1 *m2 *n1  *n2*n3

           2   3   3   9   5         2   3   3   9   3   2
    - 6*a33 *m1 *m2 *n1 *n2  + 38*a33 *m1 *m2 *n1 *n2 *n3

            2   3   3   9      4         2   3   3   7   7
    - 16*a33 *m1 *m2 *n1 *n2*n3  - 16*a33 *m1 *m2 *n1 *n2

            2   3   3   7   3   4        2   3   3   5   9
    + 48*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

            2   3   3   5   7   2         2   3   3   3   11
    - 48*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

           2   3   3   3   9   2         2   3   3   3   7   4
    + 6*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2 *n3

           2   3   3      13         2   3   3      11   2
    - 2*a33 *m1 *m2 *n1*n2   + 10*a33 *m1 *m2 *n1*n2  *n3

            2   3   3      9   4        2   2   4   12   2
    + 16*a33 *m1 *m2 *n1*n2 *n3  - 2*a33 *m1 *m2 *n1  *n2

            2   2   4   10   4         2   2   4   10   2   2
    + 10*a33 *m1 *m2 *n1  *n2  - 18*a33 *m1 *m2 *n1  *n2 *n3

           2   2   4   8   6         2   2   4   8   4   2
    + 8*a33 *m1 *m2 *n1 *n2  + 30*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   8   2   4         2   2   4   6   8
    - 24*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2

            2   2   4   6   6   2         2   2   4   6   4   4
    + 32*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2 *n3

           2   2   4   4   10         2   2   4   4   8   2
    - 6*a33 *m1 *m2 *n1 *n2   - 34*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   4   6   4        2   2   4   2   12
    + 20*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

            2   2   4   2   10   2         2   2   4   2   8   4
    - 14*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   2   4   12   2        2   2   4   10   4        2      5   11   3
    + 4*a33 *m1 *m2 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1*m2 *n1  *n2

           2      5   9   5         2      5   9   3   2
    + 2*a33 *m1*m2 *n1 *n2  - 18*a33 *m1*m2 *n1 *n2 *n3

            2      5   7   7        2      5   7   5   2
    + 10*a33 *m1*m2 *n1 *n2  + 2*a33 *m1*m2 *n1 *n2 *n3

            2      5   7   3   4        2      5   5   9
    - 16*a33 *m1*m2 *n1 *n2 *n3  - 2*a33 *m1*m2 *n1 *n2

            2      5   5   7   2        2      5   5   5   4
    + 26*a33 *m1*m2 *n1 *n2 *n3  + 8*a33 *m1*m2 *n1 *n2 *n3

           2      5   3   11        2      5   3   9   2
    - 6*a33 *m1*m2 *n1 *n2   - 2*a33 *m1*m2 *n1 *n2 *n3

            2      5   3   7   4        2      5      11   2
    + 16*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1*n2  *n3

           2      5      9   4        2   6   10   4        2   6   8   6
    - 8*a33 *m1*m2 *n1*n2 *n3  - 2*a33 *m2 *n1  *n2  - 2*a33 *m2 *n1 *n2

           2   6   8   4   2        2   6   6   8        2   6   6   6   2
    - 6*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2  - 4*a33 *m2 *n1 *n2 *n3

           2   6   6   4   4        2   6   4   10        2   6   4   8   2
    - 4*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2   + 6*a33 *m2 *n1 *n2 *n3

           2   6   2   10   2        2   6   2   8   4
    + 4*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3 )


           2   6   7   4   3             2   6   7   2   5
r215=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   5   6   3             2   6   5   4   5
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      8   5                 2   5      8   3   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      8      5             2   5      6   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      6   5   3              2   5      6   3   5
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   9                2   5      4   7   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      4   5   5             2   5   9   3   3
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   9      5             2   5   7   5   3
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   7   3   5             2   5   5   7   3
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   5   5   5              2   4   2   9   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   9   2   3             2   4   2   9   5
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   7   6                 2   4   2   7   4   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   7   2   5             2   4   2   5   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   5   6   3              2   4   2   5   4   5
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   3   10                 2   4   2   3   8   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   6   5             2   4      10   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1  *n2 *n3*r216

              2   4      10   2   3             2   4      10   5
       - 8*a33 *m1 *m2*n1  *n2 *n3 *r216 + 4*a33 *m1 *m2*n1  *n3 *r216

              2   4      8   6                 2   4      8   4   3
       + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      8   2   5             2   4      6   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      6   6   3              2   4      6   4   5
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   10                2   4      4   8   3
       + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      4   6   5              2   3   3   10   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   3   3   10      3              2   3   3   8   3   3
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   8      5              2   3   3   6   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   6   5   3              2   3   3   6   3   5
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   9                 2   3   3   4   7   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   5   5             2   3   3   2   11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   3   3   2   9   3              2   3   3   2   7   5
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   2   11   3                2   3   2   11      3
       - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   9   5                2   3   2   9   3   3
       - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   9      5              2   3   2   7   5   3
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   7   3   5             2   3   2   5   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   5   7   3              2   3   2   5   5   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   11                2   3   2   3   9   3
       + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   3   7   5             2   2   4   11   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   9   4                 2   2   4   9   2   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   6                 2   2   4   7   4   3
       + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   2   5              2   2   4   5   6   3
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   5   4   5              2   2   4   3   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   3   8   3              2   2   4   3   6   5
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4      10   3             2   2   4      8   5
       - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   3   12   2                2   2   3   10   4
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1  *n2 *n3*r216

               2   2   3   10   2   3              2   2   3   8   6
       + 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   8   4   3              2   2   3   8   2   5
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   8                 2   2   3   6   6   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   4   5             2   2   3   4   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   4   8   3             2   2   3   4   6   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   2   12                 2   2   3   2   10   3
       + 2*a33 *m1 *m2 *n1 *n2  *n3*r216 - 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   3   2   8   5             2      5   10   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1  *n2 *n3*r214

              2      5   8   5                 2      5   8   3   3
       - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   7                 2      5   6   5   3
       + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   3   5              2      5   4   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   4   7   3              2      5   4   5   5
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   2   9   3              2      5   2   7   5
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      4   11   3                2      4   9   5
       + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   9   3   3              2      4   7   5   3
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   7   3   5             2      4   5   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   5   7   3              2      4   5   5   5
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   11                2      4   3   9   3
       - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   7   5             2      4      11   3
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1*n2  *n3 *r216

              2      4      9   5             2   6   9   4
       - 4*a33 *m1*m2 *n1*n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   7   6                 2   6   7   4   3
       - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   8                 2   6   5   6   3
       - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   4   5             2   6   3   8   3
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   3   6   5             2   5   10   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1  *n2 *n3*r216

              2   5   8   6                2   5   8   4   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   8                 2   5   6   6   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   4   5             2   5   4   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   4   8   3             2   5   4   6   5
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5   2   10   3             2   5   2   8   5
       + 4*a33 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

           5   9   5   3            5   9   3   5            5   7   7   3
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   7   5   5          5   5   9   3            5   5   7   5
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      12   2   3            4      12   5
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

           4      10   6             4      10   4   3
       + m1 *m2*n1  *n2 *n3*r496 - m1 *m2*n1  *n2 *n3 *r496

             4      10   2   5            4      8   8
       - 4*m1 *m2*n1  *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *n3*r496

             4      8   6   3             4      8   4   5
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      6   10             4      6   8   3
       + 3*m1 *m2*n1 *n2  *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

              4      6   6   5          4      4   12
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *n3*r496

           4      4   10   3            4      4   8   5
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   13   3               3   2   13      3
       + m1 *m2 *n1  *n2 *n3*r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   11   5               3   2   11   3   3
       + 2*m1 *m2 *n1  *n2 *n3*r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   11      5            3   2   9   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1 *n2 *n3*r496

              3   2   9   5   3             3   2   9   3   5
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   7   9                3   2   7   7   3
       + 4*m1 *m2 *n1 *n2 *n3*r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   7   5   5            3   2   5   11
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *n3*r496

              3   2   5   9   3             3   2   5   7   5
       - 15*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   3   13               3   2   3   11   3
       + 2*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   3   9   5          2   3   14   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

           2   3   12   4               2   3   12   2   3
       - m1 *m2 *n1  *n2 *n3*r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   10   6                2   3   10   4   3
       + m1 *m2 *n1  *n2 *n3*r496 - 21*m1 *m2 *n1  *n2 *n3 *r496

              2   3   10   2   5             2   3   8   6   3
       - 12*m1 *m2 *n1  *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   8   4   5          2   3   6   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *n3*r496

              2   3   6   8   3             2   3   6   6   5
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   4   12                2   3   4   10   3
       + m1 *m2 *n1 *n2  *n3*r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   4   8   5          2   3   2   14
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *n3*r496

             2   3   2   12   3            2   3   2   10   5
       - 5*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

                4   13   3                  4   11   5
       - 2*m1*m2 *n1  *n2 *n3*r496 - 5*m1*m2 *n1  *n2 *n3*r496

                4   11   3   3               4   9   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *n3*r496

                 4   9   5   3               4   9   3   5
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   7   9                   4   7   7   3
       - 2*m1*m2 *n1 *n2 *n3*r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   7   5   5               4   5   11
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *n3*r496

                 4   5   9   3                4   5   7   5
       - 13*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   3   13                  4   3   11   3
       - m1*m2 *n1 *n2  *n3*r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   3   9   5               4      13   3
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1*n2  *n3 *r496

                4      11   5          5   12   4
       - 2*m1*m2 *n1*n2  *n3 *r496 - m2 *n1  *n2 *n3*r496

             5   10   6               5   10   4   3
       - 3*m2 *n1  *n2 *n3*r496 - 3*m2 *n1  *n2 *n3 *r496

             5   8   8               5   8   6   3            5   8   4   5
       - 3*m2 *n1 *n2 *n3*r496 - 8*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2 *n3 *r496

           5   6   10               5   6   8   3            5   6   6   5
       - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2 *n3 *r496 - 4*m2 *n1 *n2 *n3 *r496

             5   4   10   3            5   4   8   5
       - 2*m2 *n1 *n2  *n3 *r496 - 2*m2 *n1 *n2 *n3 *r496)/(

        2   5   9   4   2        2   5   9   2   4        2   5   7   6   2
   2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *n1 *n2 *n3

           2   5   7   4   4        2   5   5   8   2        2   5   5   6   4
    - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   5   3   10   2        2   5   3   8   4        2   4      10   5
    - 2*a33 *m1 *n1 *n2  *n3  + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

            2   4      10   3   2        2   4      10      4
    - 10*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2*n3

           2   4      8   7         2   4      8   5   2
    + 4*a33 *m1 *m2*n1 *n2  - 10*a33 *m1 *m2*n1 *n2 *n3

           2   4      8   3   4         2   4      6   7   2
    - 4*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2 *n3

            2   4      6   5   4        2   4      4   11
    - 20*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

            2   4      4   9   2        2   4      4   7   4
    + 10*a33 *m1 *m2*n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2 *n3

           2   4      2   13         2   4      2   9   4
    - 2*a33 *m1 *m2*n1 *n2   + 12*a33 *m1 *m2*n1 *n2 *n3

           2   3   2   11   4         2   3   2   11   2   2
    - 6*a33 *m1 *m2 *n1  *n2  + 14*a33 *m1 *m2 *n1  *n2 *n3

           2   3   2   11   4         2   3   2   9   6
    - 4*a33 *m1 *m2 *n1  *n3  - 10*a33 *m1 *m2 *n1 *n2

           2   3   2   9   4   2         2   3   2   9   2   4
    + 2*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   7   8         2   3   2   7   6   2
    + 4*a33 *m1 *m2 *n1 *n2  - 32*a33 *m1 *m2 *n1 *n2 *n3

            2   3   2   7   4   4         2   3   2   5   10
    + 16*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

           2   3   2   5   8   2         2   3   2   5   6   4
    - 8*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   3   12         2   3   2   3   10   2
    + 2*a33 *m1 *m2 *n1 *n2   + 18*a33 *m1 *m2 *n1 *n2  *n3

            2   3   2   3   8   4        2   3   2      14
    - 12*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1*n2

           2   3   2      12   2         2   3   2      10   4
    + 6*a33 *m1 *m2 *n1*n2  *n3  + 12*a33 *m1 *m2 *n1*n2  *n3

           2   2   3   12   3        2   2   3   12      2
    + 6*a33 *m1 *m2 *n1  *n2  - 6*a33 *m1 *m2 *n1  *n2*n3

           2   2   3   10   5         2   2   3   10   3   2
    + 6*a33 *m1 *m2 *n1  *n2  + 18*a33 *m1 *m2 *n1  *n2 *n3

            2   2   3   10      4         2   2   3   8   7
    - 12*a33 *m1 *m2 *n1  *n2*n3  - 12*a33 *m1 *m2 *n1 *n2

            2   2   3   8   5   2         2   2   3   8   3   4
    + 36*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   9         2   2   3   6   7   2
    - 12*a33 *m1 *m2 *n1 *n2  - 16*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   5   4        2   2   3   4   11
    + 32*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

            2   2   3   4   9   2         2   2   3   4   7   4
    - 34*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   2   13        2   2   3   2   11   2
    + 6*a33 *m1 *m2 *n1 *n2   - 2*a33 *m1 *m2 *n1 *n2  *n3

            2   2   3   2   9   4        2   2   3   13   2
    - 20*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n2  *n3

           2   2   3   11   4        2      4   13   2        2      4   11   4
    + 4*a33 *m1 *m2 *n2  *n3  - 2*a33 *m1*m2 *n1  *n2  + 2*a33 *m1*m2 *n1  *n2

            2      4   11   2   2         2      4   9   6
    - 12*a33 *m1*m2 *n1  *n2 *n3  + 12*a33 *m1*m2 *n1 *n2

           2      4   9   4   2         2      4   9   2   4
    - 6*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   8         2      4   7   6   2
    + 4*a33 *m1*m2 *n1 *n2  + 26*a33 *m1*m2 *n1 *n2 *n3

           2      4   7   4   4         2      4   5   10
    - 4*a33 *m1*m2 *n1 *n2 *n3  - 10*a33 *m1*m2 *n1 *n2

            2      4   5   8   2         2      4   5   6   4
    + 14*a33 *m1*m2 *n1 *n2 *n3  + 20*a33 *m1*m2 *n1 *n2 *n3

           2      4   3   12         2      4   3   10   2
    - 6*a33 *m1*m2 *n1 *n2   - 14*a33 *m1*m2 *n1 *n2  *n3

           2      4   3   8   4        2      4      12   2
    + 4*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1*n2  *n3

           2      4      10   4        2   5   12   3        2   5   10   5
    - 8*a33 *m1*m2 *n1*n2  *n3  - 2*a33 *m2 *n1  *n2  - 4*a33 *m2 *n1  *n2

           2   5   10   3   2         2   5   8   5   2        2   5   8   3   4
    - 6*a33 *m2 *n1  *n2 *n3  - 10*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   6   9        2   5   6   7   2        2   5   6   5   4
    + 4*a33 *m2 *n1 *n2  + 2*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5   4   11         2   5   4   9   2        2   5   4   7   4
    + 2*a33 *m2 *n1 *n2   + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   2   11   2        2   5   2   9   4
    + 4*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3 )


              2   6   7   5   2              2   6   7   3   4
r217=( - 8*a33 *m1 *n1 *n2 *n3 *r214 + 16*a33 *m1 *n1 *n2 *n3 *r214

              2   6   5   7   2              2   6   5   5   4
       - 8*a33 *m1 *n1 *n2 *n3 *r214 + 16*a33 *m1 *n1 *n2 *n3 *r214

              2   5      8   6              2   5      8   4   2
       - 8*a33 *m1 *m2*n1 *n2 *r214 + 40*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      8   2   4              2   5      6   8
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *r214

               2   5      6   6   2              2   5      6   4   4
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 32*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   10             2   5      4   8   2
       - 8*a33 *m1 *m2*n1 *n2  *r214 - 8*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      4   6   4             2   5   9   4   2
       + 64*a33 *m1 *m2*n1 *n2 *n3 *r214 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   9   2   4             2   5   7   6   2
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 8*a33 *m1 *n1 *n2 *n3 *r216

               2   5   7   4   4             2   5   5   8   2
       + 16*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   5   6   4              2   4   2   9   5
       + 8*a33 *m1 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   9   3   2              2   4   2   9      4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2*n3 *r214

               2   4   2   7   7              2   4   2   7   5   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   2   7   3   4             2   4   2   5   9
       - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2 *r214

                2   4   2   5   7   2              2   4   2   5   5   4
       + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   11              2   4   2   3   9   2
       - 16*a33 *m1 *m2 *n1 *n2  *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   7   4             2   4      10   5
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2*n1  *n2 *r216

               2   4      10   3   2             2   4      10      4
       + 16*a33 *m1 *m2*n1  *n2 *n3 *r216 - 8*a33 *m1 *m2*n1  *n2*n3 *r216

               2   4      8   7              2   4      8   5   2
       - 12*a33 *m1 *m2*n1 *n2 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      8   3   4              2   4      6   9
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2*n1 *n2 *r216

              2   4      6   7   2              2   4      6   5   4
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 56*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   11             2   4      4   9   2
       - 4*a33 *m1 *m2*n1 *n2  *r216 - 4*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      4   7   4              2   3   3   10   4
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1  *n2 *r214

               2   3   3   10   2   2               2   3   3   8   4   2
       + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 128*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   8   2   4              2   3   3   6   8
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *r214

                2   3   3   6   6   2               2   3   3   6   4   4
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 128*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   10              2   3   3   4   8   2
       + 32*a33 *m1 *m2 *n1 *n2  *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   3   4   6   4             2   3   3   2   12
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2  *r214

               2   3   3   2   10   2              2   3   3   2   8   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   2   11   4              2   3   2   11   2   2
       + 8*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   2   9   6              2   3   2   9   4   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   9   2   4              2   3   2   7   6   2
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   7   4   4              2   3   2   5   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2  *r216

               2   3   2   5   8   2              2   3   2   5   6   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   12              2   3   2   3   10   2
       - 8*a33 *m1 *m2 *n1 *n2  *r216 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   2   3   8   4             2   2   4   11   3
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   9   5              2   2   4   9   3   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   7              2   2   4   7   5   2
       - 64*a33 *m1 *m2 *n1 *n2 *r214 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   3   4               2   2   4   5   7   2
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 176*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   5   5   4              2   2   4   3   11
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   3   9   2               2   2   4   3   7   4
       - 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4      11   2              2   2   4      9   4
       + 16*a33 *m1 *m2 *n1*n2  *n3 *r214 + 16*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   3   12   3             2   2   3   10   5
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r216

               2   2   3   10   3   2              2   2   3   8   7
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   8   5   2              2   2   3   8   3   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   9              2   2   3   6   7   2
       + 32*a33 *m1 *m2 *n1 *n2 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   5   4             2   2   3   4   11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   4   9   2              2   2   3   4   7   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   2   13              2   2   3   2   11   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   3   2   9   4              2      5   10   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1*m2 *n1  *n2 *r214

              2      5   8   6              2      5   8   4   2
       + 8*a33 *m1*m2 *n1 *n2 *r214 + 72*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   8              2      5   6   6   2
       - 32*a33 *m1*m2 *n1 *n2 *r214 + 64*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   4   4              2      5   4   10
       + 64*a33 *m1*m2 *n1 *n2 *n3 *r214 - 24*a33 *m1*m2 *n1 *n2  *r214

               2      5   4   8   2              2      5   4   6   4
       - 40*a33 *m1*m2 *n1 *n2 *n3 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   2   10   2              2      5   2   8   4
       - 32*a33 *m1*m2 *n1 *n2  *n3 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      4   11   4              2      4   9   6
       - 8*a33 *m1*m2 *n1  *n2 *r216 - 16*a33 *m1*m2 *n1 *n2 *r216

               2      4   9   4   2              2      4   7   6   2
       - 36*a33 *m1*m2 *n1 *n2 *n3 *r216 - 80*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   7   4   4              2      4   5   10
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r216 + 16*a33 *m1*m2 *n1 *n2  *r216

               2      4   5   8   2              2      4   5   6   4
       - 44*a33 *m1*m2 *n1 *n2 *n3 *r216 - 56*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   12             2      4   3   10   2
       + 8*a33 *m1*m2 *n1 *n2  *r216 + 8*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      4   3   8   4             2      4      12   2
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2      4      10   4             2   6   9   5
       + 8*a33 *m1*m2 *n1*n2  *n3 *r216 + 8*a33 *m2 *n1 *n2 *r214

               2   6   7   7              2   6   7   5   2
       + 16*a33 *m2 *n1 *n2 *r214 + 24*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   9              2   6   5   7   2
       + 8*a33 *m2 *n1 *n2 *r214 + 40*a33 *m2 *n1 *n2 *n3 *r214

               2   6   5   5   4              2   6   3   9   2
       + 16*a33 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m2 *n1 *n2 *n3 *r214

               2   6   3   7   4             2   5   10   5
       + 16*a33 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m2 *n1  *n2 *r216

               2   5   8   7              2   5   8   5   2
       - 12*a33 *m2 *n1 *n2 *r216 - 12*a33 *m2 *n1 *n2 *n3 *r216

               2   5   6   9              2   5   6   7   2
       - 12*a33 *m2 *n1 *n2 *r216 - 32*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   5   4             2   5   4   11
       - 8*a33 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2  *r216

               2   5   4   9   2              2   5   4   7   4
       - 28*a33 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   2   11   2             2   5   2   9   4
       - 8*a33 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

           5   13   2   2            5   13   4            5   11   4   2
       - m1 *n1  *n2 *n3 *r496 + 2*m1 *n1  *n3 *r496 - 2*m1 *n1  *n2 *n3 *r496

             5   11   2   4            5   9   6   2
       + 4*m1 *n1  *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

             5   9   4   4            5   7   8   2
       + 4*m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

             5   7   6   4          5   5   10   2            5   5   8   4
       + 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2  *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

           4      14   3            4      14      2
       - m1 *m2*n1  *n2 *r496 + 3*m1 *m2*n1  *n2*n3 *r496

             4      12   5            4      12   3   2
       - 3*m1 *m2*n1  *n2 *r496 + 4*m1 *m2*n1  *n2 *n3 *r496

              4      12      4            4      10   7
       + 10*m1 *m2*n1  *n2*n3 *r496 - 4*m1 *m2*n1  *n2 *r496

             4      10   5   2             4      10   3   4
       + 2*m1 *m2*n1  *n2 *n3 *r496 + 20*m1 *m2*n1  *n2 *n3 *r496

             4      8   9            4      8   7   2
       - 4*m1 *m2*n1 *n2 *r496 + 2*m1 *m2*n1 *n2 *n3 *r496

              4      8   5   4            4      6   11
       + 20*m1 *m2*n1 *n2 *n3 *r496 - 3*m1 *m2*n1 *n2  *r496

           4      6   9   2             4      6   7   4
       - m1 *m2*n1 *n2 *n3 *r496 + 20*m1 *m2*n1 *n2 *n3 *r496

           4      4   13            4      4   11   2
       - m1 *m2*n1 *n2  *r496 - 2*m1 *m2*n1 *n2  *n3 *r496

              4      4   9   4          3   2   15   2
       + 10*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

              3   2   13   2   2            3   2   11   6
       + 12*m1 *m2 *n1  *n2 *n3 *r496 - 5*m1 *m2 *n1  *n2 *r496

              3   2   11   4   2             3   2   11   2   4
       + 26*m1 *m2 *n1  *n2 *n3 *r496 + 20*m1 *m2 *n1  *n2 *n3 *r496

             3   2   9   8             3   2   9   6   2
       - 8*m1 *m2 *n1 *n2 *r496 + 28*m1 *m2 *n1 *n2 *n3 *r496

              3   2   9   4   4            3   2   7   10
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 9*m1 *m2 *n1 *n2  *r496

              3   2   7   8   2             3   2   7   6   4
       + 28*m1 *m2 *n1 *n2 *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

             3   2   5   12             3   2   5   10   2
       - 8*m1 *m2 *n1 *n2  *r496 + 16*m1 *m2 *n1 *n2  *n3 *r496

              3   2   5   8   4            3   2   3   14
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

             3   2   3   12   2             3   2   3   10   4
       + 2*m1 *m2 *n1 *n2  *n3 *r496 + 20*m1 *m2 *n1 *n2  *n3 *r496

             2   3   14   3            2   3   12   5
       + 3*m1 *m2 *n1  *n2 *r496 + 6*m1 *m2 *n1  *n2 *r496

              2   3   12   3   2            2   3   10   7
       + 18*m1 *m2 *n1  *n2 *n3 *r496 + 3*m1 *m2 *n1  *n2 *r496

              2   3   10   5   2             2   3   10   3   4
       + 44*m1 *m2 *n1  *n2 *n3 *r496 + 20*m1 *m2 *n1  *n2 *n3 *r496

              2   3   8   7   2             2   3   8   5   4
       + 52*m1 *m2 *n1 *n2 *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

             2   3   6   11             2   3   6   9   2
       - 3*m1 *m2 *n1 *n2  *r496 + 52*m1 *m2 *n1 *n2 *n3 *r496

              2   3   6   7   4            2   3   4   13
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2  *r496

              2   3   4   11   2             2   3   4   9   4
       + 34*m1 *m2 *n1 *n2  *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

             2   3   2   15            2   3   2   13   2
       - 3*m1 *m2 *n1 *n2  *r496 + 8*m1 *m2 *n1 *n2  *n3 *r496

              2   3   2   11   4               4   13   4
       + 20*m1 *m2 *n1 *n2  *n3 *r496 + 3*m1*m2 *n1  *n2 *r496

                4   11   6                4   11   4   2
       + 8*m1*m2 *n1  *n2 *r496 + 12*m1*m2 *n1  *n2 *n3 *r496

                4   9   8                4   9   6   2
       + 9*m1*m2 *n1 *n2 *r496 + 31*m1*m2 *n1 *n2 *n3 *r496

                 4   9   4   4               4   7   10
       + 10*m1*m2 *n1 *n2 *n3 *r496 + 8*m1*m2 *n1 *n2  *r496

                 4   7   8   2                4   7   6   4
       + 38*m1*m2 *n1 *n2 *n3 *r496 + 20*m1*m2 *n1 *n2 *n3 *r496

                4   5   12                4   5   10   2
       + 5*m1*m2 *n1 *n2  *r496 + 38*m1*m2 *n1 *n2  *n3 *r496

                 4   5   8   4                4   3   12   2
       + 20*m1*m2 *n1 *n2 *n3 *r496 + 26*m1*m2 *n1 *n2  *n3 *r496

                 4   3   10   4             4      16
       + 20*m1*m2 *n1 *n2  *n3 *r496 - m1*m2 *n1*n2  *r496

                4      14   2                4      12   4
       + 7*m1*m2 *n1*n2  *n3 *r496 + 10*m1*m2 *n1*n2  *n3 *r496

           5   12   5            5   10   7            5   10   5   2
       + m2 *n1  *n2 *r496 + 3*m2 *n1  *n2 *r496 + 3*m2 *n1  *n2 *n3 *r496

             5   8   9            5   8   7   2            5   8   5   4
       + 4*m2 *n1 *n2 *r496 + 8*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2 *n3 *r496

             5   6   11             5   6   9   2            5   6   7   4
       + 4*m2 *n1 *n2  *r496 + 10*m2 *n1 *n2 *n3 *r496 + 4*m2 *n1 *n2 *n3 *r496

             5   4   13             5   4   11   2            5   4   9   4
       + 3*m2 *n1 *n2  *r496 + 10*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2 *n3 *r496

           5   2   15            5   2   13   2            5   2   11   4
       + m2 *n1 *n2  *r496 + 7*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2  *n3 *r496

             5   15   2            5   13   4             2   5   10   3   2
       + 2*m2 *n2  *n3 *r496 + 2*m2 *n2  *n3 *r496)/(2*a33 *m1 *n1  *n2 *n3

           2   5   10      4        2   5   8   5   2        2   5   8   3   4
    - 4*a33 *m1 *n1  *n2*n3  + 2*a33 *m1 *n1 *n2 *n3  - 4*a33 *m1 *n1 *n2 *n3

           2   5   6   7   2        2   5   6   5   4        2   5   4   9   2
    - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3

           2   5   4   7   4        2   4      11   4
    + 4*a33 *m1 *n1 *n2 *n3  + 2*a33 *m1 *m2*n1  *n2

           2   4      11   2   2        2   4      11   4
    - 8*a33 *m1 *m2*n1  *n2 *n3  + 4*a33 *m1 *m2*n1  *n3

           2   4      9   6        2   4      9   4   2
    + 4*a33 *m1 *m2*n1 *n2  - 6*a33 *m1 *m2*n1 *n2 *n3

            2   4      9   2   4         2   4      7   6   2
    - 12*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2 *n3

            2   4      7   4   4        2   4      5   10
    - 20*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

           2   4      5   8   2         2   4      5   6   4
    + 6*a33 *m1 *m2*n1 *n2 *n3  + 12*a33 *m1 *m2*n1 *n2 *n3

           2   4      3   12        2   4      3   10   2
    - 2*a33 *m1 *m2*n1 *n2   - 2*a33 *m1 *m2*n1 *n2  *n3

            2   4      3   8   4        2   3   2   12   3
    + 16*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

           2   3   2   12      2        2   3   2   10   5
    + 6*a33 *m1 *m2 *n1  *n2*n3  - 4*a33 *m1 *m2 *n1  *n2

            2   3   2   10   3   2         2   3   2   10      4
    - 14*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

           2   3   2   8   7         2   3   2   8   5   2
    + 8*a33 *m1 *m2 *n1 *n2  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   8   3   4        2   3   2   6   9
    - 8*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

           2   3   2   6   7   2         2   3   2   6   5   4
    + 8*a33 *m1 *m2 *n1 *n2 *n3  - 40*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   4   11         2   3   2   4   9   2
    - 4*a33 *m1 *m2 *n1 *n2   + 26*a33 *m1 *m2 *n1 *n2 *n3

           2   3   2   4   7   4        2   3   2   2   13
    + 8*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

           2   3   2   2   11   2         2   3   2   2   9   4
    + 6*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   13   2        2   2   3   11   4
    + 2*a33 *m1 *m2 *n1  *n2  - 4*a33 *m1 *m2 *n1  *n2

            2   2   3   11   2   2         2   2   3   9   6
    + 18*a33 *m1 *m2 *n1  *n2 *n3  - 14*a33 *m1 *m2 *n1 *n2

           2   2   3   9   4   2         2   2   3   9   2   4
    + 6*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   7   6   2        2   2   3   7   4   4
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   5   10         2   2   3   5   8   2
    + 14*a33 *m1 *m2 *n1 *n2   - 16*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   5   6   4        2   2   3   3   12
    - 40*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2

            2   2   3   3   10   2        2   2   3   3   8   4
    + 22*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3      14         2   2   3      12   2
    - 2*a33 *m1 *m2 *n1*n2   + 10*a33 *m1 *m2 *n1*n2  *n3

            2   2   3      10   4        2      4   12   3
    + 16*a33 *m1 *m2 *n1*n2  *n3  + 4*a33 *m1*m2 *n1  *n2

           2      4   10   5         2      4   10   3   2
    + 4*a33 *m1*m2 *n1  *n2  + 18*a33 *m1*m2 *n1  *n2 *n3

           2      4   8   7         2      4   8   5   2
    - 8*a33 *m1*m2 *n1 *n2  + 22*a33 *m1*m2 *n1 *n2 *n3

            2      4   8   3   4        2      4   6   9
    + 16*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1 *n2

            2      4   6   7   2         2      4   6   5   4
    - 18*a33 *m1*m2 *n1 *n2 *n3  + 12*a33 *m1*m2 *n1 *n2 *n3

           2      4   4   11         2      4   4   9   2
    + 4*a33 *m1*m2 *n1 *n2   - 26*a33 *m1*m2 *n1 *n2 *n3

            2      4   4   7   4        2      4   2   13
    - 20*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n1 *n2

            2      4   2   9   4        2      4   13   2
    - 12*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n2  *n3

           2      4   11   4        2   5   11   4        2   5   9   6
    + 4*a33 *m1*m2 *n2  *n3  + 2*a33 *m2 *n1  *n2  + 4*a33 *m2 *n1 *n2

           2   5   9   4   2         2   5   7   6   2        2   5   7   4   4
    + 6*a33 *m2 *n1 *n2 *n3  + 10*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   5   10        2   5   5   8   2        2   5   5   6   4
    - 4*a33 *m2 *n1 *n2   - 2*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3

           2   5   3   12         2   5   3   10   2        2   5   3   8   4
    - 2*a33 *m2 *n1 *n2   - 10*a33 *m2 *n1 *n2  *n3  - 4*a33 *m2 *n1 *n2 *n3

           2   5      12   2        2   5      10   4
    - 4*a33 *m2 *n1*n2  *n3  - 4*a33 *m2 *n1*n2  *n3 )


              2   6   7   4   3             2   6   7   2   5
r218=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   5   6   3             2   6   5   4   5
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      8   5                 2   5      8   3   3
       - 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      8      5             2   5      6   7
       - 16*a33 *m1 *m2*n1 *n2*n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      6   5   3              2   5      6   3   5
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   9                2   5      4   7   3
       - 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      4   5   5             2   5   9   3   3
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   9      5             2   5   7   5   3
       + 4*a33 *m1 *n1 *n2*n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   7   3   5             2   5   5   7   3
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   5   5   5              2   4   2   9   4
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   9   2   3             2   4   2   9   5
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   7   6                 2   4   2   7   4   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   7   2   5             2   4   2   5   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   5   6   3              2   4   2   5   4   5
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   3   10                 2   4   2   3   8   3
       - 8*a33 *m1 *m2 *n1 *n2  *n3*r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   6   5             2   4      10   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1  *n2 *n3*r216

              2   4      10   2   3             2   4      10   5
       + 8*a33 *m1 *m2*n1  *n2 *n3 *r216 - 4*a33 *m1 *m2*n1  *n3 *r216

              2   4      8   6                 2   4      8   4   3
       - 6*a33 *m1 *m2*n1 *n2 *n3*r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      8   2   5             2   4      6   8
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      6   6   3              2   4      6   4   5
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   10                2   4      4   8   3
       - 2*a33 *m1 *m2*n1 *n2  *n3*r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      4   6   5              2   3   3   10   3
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   3   3   10      3              2   3   3   8   3   3
       + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   8      5              2   3   3   6   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   6   5   3              2   3   3   6   3   5
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   9                 2   3   3   4   7   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   5   5             2   3   3   2   11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   3   3   2   9   3              2   3   3   2   7   5
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   2   11   3                2   3   2   11      3
       + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   9   5                2   3   2   9   3   3
       + 8*a33 *m1 *m2 *n1 *n2 *n3*r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   9      5              2   3   2   7   5   3
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   7   3   5             2   3   2   5   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   5   7   3              2   3   2   5   5   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   11                2   3   2   3   9   3
       - 4*a33 *m1 *m2 *n1 *n2  *n3*r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   3   7   5             2   2   4   11   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   9   4                 2   2   4   9   2   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   6                 2   2   4   7   4   3
       - 32*a33 *m1 *m2 *n1 *n2 *n3*r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   2   5              2   2   4   5   6   3
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   5   4   5              2   2   4   3   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   3   8   3              2   2   4   3   6   5
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4      10   3             2   2   4      8   5
       + 8*a33 *m1 *m2 *n1*n2  *n3 *r214 + 8*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   3   12   2                2   2   3   10   4
       - 2*a33 *m1 *m2 *n1  *n2 *n3*r216 + 2*a33 *m1 *m2 *n1  *n2 *n3*r216

               2   2   3   10   2   3              2   2   3   8   6
       - 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   8   4   3              2   2   3   8   2   5
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   8                 2   2   3   6   6   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   4   5             2   2   3   4   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   4   8   3             2   2   3   4   6   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   2   12                 2   2   3   2   10   3
       - 2*a33 *m1 *m2 *n1 *n2  *n3*r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   3   2   8   5             2      5   10   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1  *n2 *n3*r214

              2      5   8   5                 2      5   8   3   3
       + 4*a33 *m1*m2 *n1 *n2 *n3*r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   7                 2      5   6   5   3
       - 16*a33 *m1*m2 *n1 *n2 *n3*r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   3   5              2      5   4   9
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   4   7   3              2      5   4   5   5
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   2   9   3              2      5   2   7   5
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      4   11   3                2      4   9   5
       - 4*a33 *m1*m2 *n1  *n2 *n3*r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   9   3   3              2      4   7   5   3
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   7   3   5             2      4   5   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   5   7   3              2      4   5   5   5
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   11                2      4   3   9   3
       + 4*a33 *m1*m2 *n1 *n2  *n3*r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   7   5             2      4      11   3
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n1*n2  *n3 *r216

              2      4      9   5             2   6   9   4
       + 4*a33 *m1*m2 *n1*n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   7   6                 2   6   7   4   3
       + 8*a33 *m2 *n1 *n2 *n3*r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   8                 2   6   5   6   3
       + 4*a33 *m2 *n1 *n2 *n3*r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   4   5             2   6   3   8   3
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   3   6   5             2   5   10   4
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1  *n2 *n3*r216

              2   5   8   6                2   5   8   4   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   8                 2   5   6   6   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   4   5             2   5   4   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   4   8   3             2   5   4   6   5
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5   2   10   3             2   5   2   8   5
       - 4*a33 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3 *r216

           5   11   3   3            5   11      5            5   9   5   3
       - m1 *n1  *n2 *n3 *r496 + 2*m1 *n1  *n2*n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

             5   9   3   5          5   7   7   3            5   7   5   5
       + 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

           4      12   4               4      12   2   3
       - m1 *m2*n1  *n2 *n3*r496 + 3*m1 *m2*n1  *n2 *n3 *r496

             4      10   6               4      10   4   3
       - 3*m1 *m2*n1  *n2 *n3*r496 + 4*m1 *m2*n1  *n2 *n3 *r496

              4      10   2   5            4      8   8
       + 10*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *n3*r496

           4      8   6   3             4      8   4   5
       - m1 *m2*n1 *n2 *n3 *r496 + 20*m1 *m2*n1 *n2 *n3 *r496

           4      6   10               4      6   8   3
       - m1 *m2*n1 *n2  *n3*r496 - 2*m1 *m2*n1 *n2 *n3 *r496

              4      6   6   5          3   2   13   3
       + 10*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *n3*r496

              3   2   11   3   3            3   2   9   7
       + 12*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2 *n3*r496

              3   2   9   5   3             3   2   9   3   5
       + 26*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

             3   2   7   9                3   2   7   7   3
       - 8*m1 *m2 *n1 *n2 *n3*r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

              3   2   7   5   5            3   2   5   11
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *n3*r496

             3   2   5   9   3             3   2   5   7   5
       + 2*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

             2   3   12   4               2   3   10   6
       + 3*m1 *m2 *n1  *n2 *n3*r496 + 6*m1 *m2 *n1  *n2 *n3*r496

              2   3   10   4   3             2   3   8   6   3
       + 18*m1 *m2 *n1  *n2 *n3 *r496 + 44*m1 *m2 *n1 *n2 *n3 *r496

              2   3   8   4   5            2   3   6   10
       + 20*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2  *n3*r496

              2   3   6   8   3             2   3   6   6   5
       + 34*m1 *m2 *n1 *n2 *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

             2   3   4   12               2   3   4   10   3
       - 3*m1 *m2 *n1 *n2  *n3*r496 + 8*m1 *m2 *n1 *n2  *n3 *r496

              2   3   4   8   5               4   11   5
       + 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1*m2 *n1  *n2 *n3*r496

                4   9   7                   4   9   5   3
       + 8*m1*m2 *n1 *n2 *n3*r496 + 12*m1*m2 *n1 *n2 *n3 *r496

                4   7   9                   4   7   7   3
       + 6*m1*m2 *n1 *n2 *n3*r496 + 31*m1*m2 *n1 *n2 *n3 *r496

                 4   7   5   5                4   5   9   3
       + 10*m1*m2 *n1 *n2 *n3 *r496 + 26*m1*m2 *n1 *n2 *n3 *r496

                 4   5   7   5             4   3   13
       + 20*m1*m2 *n1 *n2 *n3 *r496 - m1*m2 *n1 *n2  *n3*r496

                4   3   11   3                4   3   9   5
       + 7*m1*m2 *n1 *n2  *n3 *r496 + 10*m1*m2 *n1 *n2 *n3 *r496

           5   10   6               5   8   8               5   8   6   3
       + m2 *n1  *n2 *n3*r496 + 3*m2 *n1 *n2 *n3*r496 + 3*m2 *n1 *n2 *n3 *r496

             5   6   10               5   6   8   3
       + 3*m2 *n1 *n2  *n3*r496 + 8*m2 *n1 *n2 *n3 *r496

             5   6   6   5          5   4   12               5   4   10   3
       + 2*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2  *n3*r496 + 7*m2 *n1 *n2  *n3 *r496

             5   4   8   5            5   2   12   3
       + 4*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2  *n3 *r496

             5   2   10   5             2   6   8   4   2
       + 2*m2 *n1 *n2  *n3 *r496)/(2*a33 *m1 *n1 *n2 *n3

           2   6   8   2   4        2   6   4   8   2        2   6   4   6   4
    - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   5      9   5         2   5      9   3   2
    + 2*a33 *m1 *m2*n1 *n2  - 10*a33 *m1 *m2*n1 *n2 *n3

           2   5      9      4        2   5      7   7
    + 8*a33 *m1 *m2*n1 *n2*n3  + 2*a33 *m1 *m2*n1 *n2

           2   5      7   5   2         2   5      7   3   4
    + 2*a33 *m1 *m2*n1 *n2 *n3  - 16*a33 *m1 *m2*n1 *n2 *n3

           2   5      5   9         2   5      5   7   2
    - 2*a33 *m1 *m2*n1 *n2  + 10*a33 *m1 *m2*n1 *n2 *n3

           2   5      5   5   4        2   5      3   11
    - 8*a33 *m1 *m2*n1 *n2 *n3  - 2*a33 *m1 *m2*n1 *n2

           2   5      3   9   2         2   5      3   7   4
    - 2*a33 *m1 *m2*n1 *n2 *n3  + 16*a33 *m1 *m2*n1 *n2 *n3

           2   4   2   10   4         2   4   2   10   2   2
    - 6*a33 *m1 *m2 *n1  *n2  + 14*a33 *m1 *m2 *n1  *n2 *n3

           2   4   2   10   4        2   4   2   8   6
    - 4*a33 *m1 *m2 *n1  *n3  - 2*a33 *m1 *m2 *n1 *n2

            2   4   2   8   4   2         2   4   2   8   2   4
    - 22*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2 *n3

            2   4   2   6   8         2   4   2   6   6   2
    + 10*a33 *m1 *m2 *n1 *n2  - 20*a33 *m1 *m2 *n1 *n2 *n3

            2   4   2   6   4   4        2   4   2   4   10
    - 20*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

            2   4   2   4   8   2         2   4   2   4   6   4
    + 22*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   4   2   2   12        2   4   2   2   10   2
    - 4*a33 *m1 *m2 *n1 *n2   + 6*a33 *m1 *m2 *n1 *n2  *n3

            2   4   2   2   8   4        2   3   3   11   3
    + 24*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

           2   3   3   11      2        2   3   3   9   5
    - 6*a33 *m1 *m2 *n1  *n2*n3  - 6*a33 *m1 *m2 *n1 *n2

            2   3   3   9   3   2         2   3   3   9      4
    + 38*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2*n3

            2   3   3   7   7         2   3   3   7   3   4
    - 16*a33 *m1 *m2 *n1 *n2  + 48*a33 *m1 *m2 *n1 *n2 *n3

           2   3   3   5   9         2   3   3   5   7   2
    + 8*a33 *m1 *m2 *n1 *n2  - 48*a33 *m1 *m2 *n1 *n2 *n3

            2   3   3   3   11        2   3   3   3   9   2
    + 10*a33 *m1 *m2 *n1 *n2   + 6*a33 *m1 *m2 *n1 *n2 *n3

            2   3   3   3   7   4        2   3   3      13
    - 48*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1*n2

            2   3   3      11   2         2   3   3      9   4
    + 10*a33 *m1 *m2 *n1*n2  *n3  + 16*a33 *m1 *m2 *n1*n2 *n3

           2   2   4   12   2         2   2   4   10   4
    - 2*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

            2   2   4   10   2   2        2   2   4   8   6
    - 18*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

            2   2   4   8   4   2         2   2   4   8   2   4
    + 30*a33 *m1 *m2 *n1 *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   6   8         2   2   4   6   6   2
    - 16*a33 *m1 *m2 *n1 *n2  + 32*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   6   4   4        2   2   4   4   10
    + 32*a33 *m1 *m2 *n1 *n2 *n3  - 6*a33 *m1 *m2 *n1 *n2

            2   2   4   4   8   2         2   2   4   4   6   4
    - 34*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2 *n3

           2   2   4   2   12         2   2   4   2   10   2
    + 6*a33 *m1 *m2 *n1 *n2   - 14*a33 *m1 *m2 *n1 *n2  *n3

            2   2   4   2   8   4        2   2   4   12   2
    - 32*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n2  *n3

           2   2   4   10   4        2      5   11   3        2      5   9   5
    + 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1*m2 *n1  *n2  + 2*a33 *m1*m2 *n1 *n2

            2      5   9   3   2         2      5   7   7
    - 18*a33 *m1*m2 *n1 *n2 *n3  + 10*a33 *m1*m2 *n1 *n2

           2      5   7   5   2         2      5   7   3   4
    + 2*a33 *m1*m2 *n1 *n2 *n3  - 16*a33 *m1*m2 *n1 *n2 *n3

           2      5   5   9         2      5   5   7   2
    - 2*a33 *m1*m2 *n1 *n2  + 26*a33 *m1*m2 *n1 *n2 *n3

           2      5   5   5   4        2      5   3   11
    + 8*a33 *m1*m2 *n1 *n2 *n3  - 6*a33 *m1*m2 *n1 *n2

           2      5   3   9   2         2      5   3   7   4
    - 2*a33 *m1*m2 *n1 *n2 *n3  + 16*a33 *m1*m2 *n1 *n2 *n3

           2      5      11   2        2      5      9   4        2   6   10   4
    - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2 *n3  - 2*a33 *m2 *n1  *n2

           2   6   8   6        2   6   8   4   2        2   6   6   8
    - 2*a33 *m2 *n1 *n2  - 6*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2

           2   6   6   6   2        2   6   6   4   4        2   6   4   10
    - 4*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2

           2   6   4   8   2        2   6   2   10   2        2   6   2   8   4
    + 6*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3 )


              2   6   7   5   2             2   6   7   3   4
r219=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   5   7   2             2   6   5   5   4
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      8   6              2   5      8   4   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      8   2   4             2   5      6   8
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      6   6   2              2   5      6   4   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   10             2   5      4   8   2
       - 4*a33 *m1 *m2*n1 *n2  *r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      4   6   4             2   5   9   4   2
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   9   2   4             2   5   7   6   2
       + 4*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   7   4   4             2   5   5   8   2
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   5   6   4              2   4   2   9   5
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   9   3   2             2   4   2   9      4
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2*n3 *r214

               2   4   2   7   7              2   4   2   7   5   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   7   3   4             2   4   2   5   9
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   5   7   2              2   4   2   5   5   4
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   3   11              2   4   2   3   9   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   7   4             2   4      10   5
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1  *n2 *r216

              2   4      10   3   2             2   4      10      4
       + 8*a33 *m1 *m2*n1  *n2 *n3 *r216 - 4*a33 *m1 *m2*n1  *n2*n3 *r216

              2   4      8   7              2   4      8   5   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      8   3   4             2   4      6   9
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      6   7   2              2   4      6   5   4
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   11             2   4      4   9   2
       - 2*a33 *m1 *m2*n1 *n2  *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      4   7   4              2   3   3   10   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r214

               2   3   3   10   2   2              2   3   3   8   4   2
       + 12*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   8   2   4              2   3   3   6   8
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   6   6   2              2   3   3   6   4   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   10              2   3   3   4   8   2
       + 16*a33 *m1 *m2 *n1 *n2  *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   6   4             2   3   3   2   12
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

               2   3   3   2   10   2              2   3   3   2   8   4
       + 20*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   2   11   4             2   3   2   11   2   2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   2   9   6             2   3   2   9   4   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   9   2   4              2   3   2   7   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   7   4   4             2   3   2   5   10
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

               2   3   2   5   8   2              2   3   2   5   6   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   12             2   3   2   3   10   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   2   3   8   4             2   2   4   11   3
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   9   5              2   2   4   9   3   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   7              2   2   4   7   5   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   3   4              2   2   4   5   7   2
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   5   5   4              2   2   4   3   11
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   3   9   2              2   2   4   3   7   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4      11   2             2   2   4      9   4
       + 8*a33 *m1 *m2 *n1*n2  *n3 *r214 + 8*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   3   12   3             2   2   3   10   5
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1  *n2 *r216

               2   2   3   10   3   2              2   2   3   8   7
       - 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   8   5   2              2   2   3   8   3   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   9              2   2   3   6   7   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   5   4             2   2   3   4   11
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   4   9   2             2   2   3   4   7   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   2   13              2   2   3   2   11   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   3   2   9   4             2      5   10   4
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1  *n2 *r214

              2      5   8   6              2      5   8   4   2
       + 4*a33 *m1*m2 *n1 *n2 *r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   8              2      5   6   6   2
       - 16*a33 *m1*m2 *n1 *n2 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   4   4              2      5   4   10
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2  *r214

               2      5   4   8   2              2      5   4   6   4
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   2   10   2              2      5   2   8   4
       - 16*a33 *m1*m2 *n1 *n2  *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      4   11   4             2      4   9   6
       - 4*a33 *m1*m2 *n1  *n2 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   9   4   2              2      4   7   6   2
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   7   4   4             2      4   5   10
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2  *r216

               2      4   5   8   2              2      4   5   6   4
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   12             2      4   3   10   2
       + 4*a33 *m1*m2 *n1 *n2  *r216 + 4*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      4   3   8   4             2      4      12   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n1*n2  *n3 *r216

              2      4      10   4             2   6   9   5
       + 4*a33 *m1*m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *r214

              2   6   7   7              2   6   7   5   2
       + 8*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   9              2   6   5   7   2
       + 4*a33 *m2 *n1 *n2 *r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   5   4             2   6   3   9   2
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   3   7   4             2   5   10   5
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1  *n2 *r216

              2   5   8   7             2   5   8   5   2
       - 6*a33 *m2 *n1 *n2 *r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   9              2   5   6   7   2
       - 6*a33 *m2 *n1 *n2 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   5   4             2   5   4   11
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   5   4   9   2             2   5   4   7   4
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5   2   11   2             2   5   2   9   4
       - 4*a33 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3 *r216

           5   11   4   2            5   11   2   4
       - m1 *n1  *n2 *n3 *r496 + 2*m1 *n1  *n2 *n3 *r496

             5   9   6   2            5   9   4   4          5   7   8   2
       - 2*m1 *n1 *n2 *n3 *r496 + 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496

             5   7   6   4          4      12   5
       + 2*m1 *n1 *n2 *n3 *r496 - m1 *m2*n1  *n2 *r496

             4      12   3   2            4      10   7
       + 3*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1  *n2 *r496

             4      10   5   2             4      10   3   4
       + 4*m1 *m2*n1  *n2 *n3 *r496 + 10*m1 *m2*n1  *n2 *n3 *r496

             4      8   9          4      8   7   2
       - 3*m1 *m2*n1 *n2 *r496 - m1 *m2*n1 *n2 *n3 *r496

              4      8   5   4          4      6   11
       + 20*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *r496

             4      6   9   2             4      6   7   4
       - 2*m1 *m2*n1 *n2 *n3 *r496 + 10*m1 *m2*n1 *n2 *n3 *r496

           3   2   13   4             3   2   11   4   2
       + m1 *m2 *n1  *n2 *r496 + 12*m1 *m2 *n1  *n2 *n3 *r496

             3   2   9   8             3   2   9   6   2
       - 6*m1 *m2 *n1 *n2 *r496 + 26*m1 *m2 *n1 *n2 *n3 *r496

              3   2   9   4   4            3   2   7   10
       + 20*m1 *m2 *n1 *n2 *n3 *r496 - 8*m1 *m2 *n1 *n2  *r496

              3   2   7   8   2             3   2   7   6   4
       + 16*m1 *m2 *n1 *n2 *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

             3   2   5   12            3   2   5   10   2
       - 3*m1 *m2 *n1 *n2  *r496 + 2*m1 *m2 *n1 *n2  *n3 *r496

              3   2   5   8   4            2   3   12   5
       + 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1  *n2 *r496

             2   3   10   7             2   3   10   5   2
       + 6*m1 *m2 *n1  *n2 *r496 + 18*m1 *m2 *n1  *n2 *n3 *r496

              2   3   8   7   2             2   3   8   5   4
       + 44*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

             2   3   6   11             2   3   6   9   2
       - 6*m1 *m2 *n1 *n2  *r496 + 34*m1 *m2 *n1 *n2 *n3 *r496

              2   3   6   7   4            2   3   4   13
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

             2   3   4   11   2             2   3   4   9   4
       + 8*m1 *m2 *n1 *n2  *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

                4   11   6               4   9   8
       + 3*m1*m2 *n1  *n2 *r496 + 8*m1*m2 *n1 *n2 *r496

                 4   9   6   2               4   7   10
       + 12*m1*m2 *n1 *n2 *n3 *r496 + 6*m1*m2 *n1 *n2  *r496

                 4   7   8   2                4   7   6   4
       + 31*m1*m2 *n1 *n2 *n3 *r496 + 10*m1*m2 *n1 *n2 *n3 *r496

                 4   5   10   2                4   5   8   4
       + 26*m1*m2 *n1 *n2  *n3 *r496 + 20*m1*m2 *n1 *n2 *n3 *r496

              4   3   14               4   3   12   2
       - m1*m2 *n1 *n2  *r496 + 7*m1*m2 *n1 *n2  *n3 *r496

                 4   3   10   4          5   10   7            5   8   9
       + 10*m1*m2 *n1 *n2  *n3 *r496 + m2 *n1  *n2 *r496 + 3*m2 *n1 *n2 *r496

             5   8   7   2            5   6   11            5   6   9   2
       + 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2  *r496 + 8*m2 *n1 *n2 *n3 *r496

             5   6   7   4          5   4   13            5   4   11   2
       + 2*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2  *r496 + 7*m2 *n1 *n2  *n3 *r496

             5   4   9   4            5   2   13   2
       + 4*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2  *n3 *r496

             5   2   11   4             2   6   8   4   2
       + 2*m2 *n1 *n2  *n3 *r496)/(2*a33 *m1 *n1 *n2 *n3

           2   6   8   2   4        2   6   4   8   2        2   6   4   6   4
    - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   5      9   5         2   5      9   3   2
    + 2*a33 *m1 *m2*n1 *n2  - 10*a33 *m1 *m2*n1 *n2 *n3

           2   5      9      4        2   5      7   7
    + 8*a33 *m1 *m2*n1 *n2*n3  + 2*a33 *m1 *m2*n1 *n2

           2   5      7   5   2         2   5      7   3   4
    + 2*a33 *m1 *m2*n1 *n2 *n3  - 16*a33 *m1 *m2*n1 *n2 *n3

           2   5      5   9         2   5      5   7   2
    - 2*a33 *m1 *m2*n1 *n2  + 10*a33 *m1 *m2*n1 *n2 *n3

           2   5      5   5   4        2   5      3   11
    - 8*a33 *m1 *m2*n1 *n2 *n3  - 2*a33 *m1 *m2*n1 *n2

           2   5      3   9   2         2   5      3   7   4
    - 2*a33 *m1 *m2*n1 *n2 *n3  + 16*a33 *m1 *m2*n1 *n2 *n3

           2   4   2   10   4         2   4   2   10   2   2
    - 6*a33 *m1 *m2 *n1  *n2  + 14*a33 *m1 *m2 *n1  *n2 *n3

           2   4   2   10   4        2   4   2   8   6
    - 4*a33 *m1 *m2 *n1  *n3  - 2*a33 *m1 *m2 *n1 *n2

            2   4   2   8   4   2         2   4   2   8   2   4
    - 22*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2 *n3

            2   4   2   6   8         2   4   2   6   6   2
    + 10*a33 *m1 *m2 *n1 *n2  - 20*a33 *m1 *m2 *n1 *n2 *n3

            2   4   2   6   4   4        2   4   2   4   10
    - 20*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

            2   4   2   4   8   2         2   4   2   4   6   4
    + 22*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

           2   4   2   2   12        2   4   2   2   10   2
    - 4*a33 *m1 *m2 *n1 *n2   + 6*a33 *m1 *m2 *n1 *n2  *n3

            2   4   2   2   8   4        2   3   3   11   3
    + 24*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

           2   3   3   11      2        2   3   3   9   5
    - 6*a33 *m1 *m2 *n1  *n2*n3  - 6*a33 *m1 *m2 *n1 *n2

            2   3   3   9   3   2         2   3   3   9      4
    + 38*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2*n3

            2   3   3   7   7         2   3   3   7   3   4
    - 16*a33 *m1 *m2 *n1 *n2  + 48*a33 *m1 *m2 *n1 *n2 *n3

           2   3   3   5   9         2   3   3   5   7   2
    + 8*a33 *m1 *m2 *n1 *n2  - 48*a33 *m1 *m2 *n1 *n2 *n3

            2   3   3   3   11        2   3   3   3   9   2
    + 10*a33 *m1 *m2 *n1 *n2   + 6*a33 *m1 *m2 *n1 *n2 *n3

            2   3   3   3   7   4        2   3   3      13
    - 48*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1*n2

            2   3   3      11   2         2   3   3      9   4
    + 10*a33 *m1 *m2 *n1*n2  *n3  + 16*a33 *m1 *m2 *n1*n2 *n3

           2   2   4   12   2         2   2   4   10   4
    - 2*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

            2   2   4   10   2   2        2   2   4   8   6
    - 18*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

            2   2   4   8   4   2         2   2   4   8   2   4
    + 30*a33 *m1 *m2 *n1 *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   6   8         2   2   4   6   6   2
    - 16*a33 *m1 *m2 *n1 *n2  + 32*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   6   4   4        2   2   4   4   10
    + 32*a33 *m1 *m2 *n1 *n2 *n3  - 6*a33 *m1 *m2 *n1 *n2

            2   2   4   4   8   2         2   2   4   4   6   4
    - 34*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2 *n3

           2   2   4   2   12         2   2   4   2   10   2
    + 6*a33 *m1 *m2 *n1 *n2   - 14*a33 *m1 *m2 *n1 *n2  *n3

            2   2   4   2   8   4        2   2   4   12   2
    - 32*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n2  *n3

           2   2   4   10   4        2      5   11   3        2      5   9   5
    + 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1*m2 *n1  *n2  + 2*a33 *m1*m2 *n1 *n2

            2      5   9   3   2         2      5   7   7
    - 18*a33 *m1*m2 *n1 *n2 *n3  + 10*a33 *m1*m2 *n1 *n2

           2      5   7   5   2         2      5   7   3   4
    + 2*a33 *m1*m2 *n1 *n2 *n3  - 16*a33 *m1*m2 *n1 *n2 *n3

           2      5   5   9         2      5   5   7   2
    - 2*a33 *m1*m2 *n1 *n2  + 26*a33 *m1*m2 *n1 *n2 *n3

           2      5   5   5   4        2      5   3   11
    + 8*a33 *m1*m2 *n1 *n2 *n3  - 6*a33 *m1*m2 *n1 *n2

           2      5   3   9   2         2      5   3   7   4
    - 2*a33 *m1*m2 *n1 *n2 *n3  + 16*a33 *m1*m2 *n1 *n2 *n3

           2      5      11   2        2      5      9   4        2   6   10   4
    - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2 *n3  - 2*a33 *m2 *n1  *n2

           2   6   8   6        2   6   8   4   2        2   6   6   8
    - 2*a33 *m2 *n1 *n2  - 6*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2

           2   6   6   6   2        2   6   6   4   4        2   6   4   10
    - 4*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2

           2   6   4   8   2        2   6   2   10   2        2   6   2   8   4
    + 6*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2  *n3  + 4*a33 *m2 *n1 *n2 *n3 )


              2   5   8   3   2             2   5   8      4
r220=( - 2*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2*n3 *r216

              2   5   6   5   2             2   5   6   3   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 + 8*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   7   2             2   5   4   5   4
       - 2*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   4      9   4             2   4      9   2   2
       - 2*a33 *m1 *m2*n1 *n2 *r216 + 8*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      9   4             2   4      7   6
       - 4*a33 *m1 *m2*n1 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

               2   4      7   4   2             2   4      7   2   4
       + 14*a33 *m1 *m2*n1 *n2 *n3 *r216 + 8*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      5   8             2   4      5   6   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 + 4*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      5   4   4             2   4      3   10
       + 28*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2  *r216

              2   4      3   8   2              2   4      3   6   4
       - 2*a33 *m1 *m2*n1 *n2 *n3 *r216 + 16*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   3   2   10   3             2   3   2   10      2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5             2   3   2   8   3   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      4              2   3   2   6   5   2
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   4             2   3   2   4   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   4   7   2              2   3   2   4   5   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11             2   3   2   2   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   4             2   2   3   11   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1  *n2 *r216

              2   2   3   9   4              2   2   3   9   2   2
       + 2*a33 *m1 *m2 *n1 *n2 *r216 - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   7   6              2   2   3   7   4   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   7   2   4              2   2   3   5   8
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   5   6   2              2   2   3   5   4   4
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   3   10              2   2   3   3   8   2
       + 2*a33 *m1 *m2 *n1 *n2  *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   3   6   4             2   2   3      12
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *r216

               2   2   3      10   2              2   2   3      8   4
       + 10*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1*n2 *n3 *r216

              2      4   10   3             2      4   8   5
       - 4*a33 *m1*m2 *n1  *n2 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   3   2              2      4   6   5   2
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   4             2      4   4   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   4   7   2              2      4   4   5   4
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11             2      4   2   9   2
       + 4*a33 *m1*m2 *n1 *n2  *r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   4             2      4   11   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   4             2   5   9   4
       + 4*a33 *m1*m2 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2 *r216

              2   5   7   6             2   5   7   4   2
       - 6*a33 *m2 *n1 *n2 *r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8              2   5   5   6   2
       - 6*a33 *m2 *n1 *n2 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   4             2   5   3   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   5   3   8   2             2   5   3   6   4
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   2             2   5      8   4
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

           5   10   3   2            5   10      4            5   8   5   2
       - m1 *n1  *n2 *n3 *r496 + 2*m1 *n1  *n2*n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

             5   8   3   4          5   6   7   2            5   6   5   4
       + 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

           4      11   4            4      11   2   2
       - m1 *m2*n1  *n2 *r496 + 3*m1 *m2*n1  *n2 *n3 *r496

             4      9   6            4      9   4   2
       - 3*m1 *m2*n1 *n2 *r496 + 4*m1 *m2*n1 *n2 *n3 *r496

              4      9   2   4            4      7   8
       + 10*m1 *m2*n1 *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *r496

           4      7   6   2             4      7   4   4
       - m1 *m2*n1 *n2 *n3 *r496 + 20*m1 *m2*n1 *n2 *n3 *r496

           4      5   10            4      5   8   2
       - m1 *m2*n1 *n2  *r496 - 2*m1 *m2*n1 *n2 *n3 *r496

              4      5   6   4          3   2   12   3
       + 10*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

              3   2   10   3   2            3   2   8   7
       + 12*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2 *r496

              3   2   8   5   2             3   2   8   3   4
       + 26*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   9             3   2   6   7   2
       - 8*m1 *m2 *n1 *n2 *r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   4            3   2   4   11
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

             3   2   4   9   2             3   2   4   7   4
       + 2*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

             2   3   11   4            2   3   9   6
       + 3*m1 *m2 *n1  *n2 *r496 + 6*m1 *m2 *n1 *n2 *r496

              2   3   9   4   2             2   3   7   6   2
       + 18*m1 *m2 *n1 *n2 *n3 *r496 + 44*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   4            2   3   5   10
       + 20*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2  *r496

              2   3   5   8   2             2   3   5   6   4
       + 34*m1 *m2 *n1 *n2 *n3 *r496 + 40*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   12            2   3   3   10   2
       - 3*m1 *m2 *n1 *n2  *r496 + 8*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   4               4   10   5
       + 20*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1*m2 *n1  *n2 *r496

                4   8   7                4   8   5   2
       + 8*m1*m2 *n1 *n2 *r496 + 12*m1*m2 *n1 *n2 *n3 *r496

                4   6   9                4   6   7   2
       + 6*m1*m2 *n1 *n2 *r496 + 31*m1*m2 *n1 *n2 *n3 *r496

                 4   6   5   4                4   4   9   2
       + 10*m1*m2 *n1 *n2 *n3 *r496 + 26*m1*m2 *n1 *n2 *n3 *r496

                 4   4   7   4             4   2   13
       + 20*m1*m2 *n1 *n2 *n3 *r496 - m1*m2 *n1 *n2  *r496

                4   2   11   2                4   2   9   4
       + 7*m1*m2 *n1 *n2  *n3 *r496 + 10*m1*m2 *n1 *n2 *n3 *r496

           5   9   6            5   7   8            5   7   6   2
       + m2 *n1 *n2 *r496 + 3*m2 *n1 *n2 *r496 + 3*m2 *n1 *n2 *n3 *r496

             5   5   10            5   5   8   2            5   5   6   4
       + 3*m2 *n1 *n2  *r496 + 8*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2 *n3 *r496

           5   3   12            5   3   10   2            5   3   8   4
       + m2 *n1 *n2  *r496 + 7*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2 *n3 *r496

             5      12   2            5      10   4
       + 2*m2 *n1*n2  *n3 *r496 + 2*m2 *n1*n2  *n3 *r496)/(

        2   6   6   4   2        2   6   6   2   4        2   6   4   6   2
   4*a33 *m1 *n1 *n2 *n3  - 8*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *n1 *n2 *n3

           2   6   4   4   4        2   5      7   5
    - 8*a33 *m1 *n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2

            2   5      7   3   2         2   5      7      4
    - 20*a33 *m1 *m2*n1 *n2 *n3  + 16*a33 *m1 *m2*n1 *n2*n3

           2   5      5   7         2   5      5   5   2
    + 8*a33 *m1 *m2*n1 *n2  - 16*a33 *m1 *m2*n1 *n2 *n3

            2   5      5   3   4        2   5      3   9
    - 16*a33 *m1 *m2*n1 *n2 *n3  + 4*a33 *m1 *m2*n1 *n2

           2   5      3   7   2         2   5      3   5   4
    + 4*a33 *m1 *m2*n1 *n2 *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

            2   4   2   8   4         2   4   2   8   2   2
    - 12*a33 *m1 *m2 *n1 *n2  + 28*a33 *m1 *m2 *n1 *n2 *n3

           2   4   2   8   4         2   4   2   6   6
    - 8*a33 *m1 *m2 *n1 *n3  - 16*a33 *m1 *m2 *n1 *n2

            2   4   2   6   4   2         2   4   2   6   2   4
    - 16*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

           2   4   2   4   8         2   4   2   4   6   2
    + 4*a33 *m1 *m2 *n1 *n2  - 56*a33 *m1 *m2 *n1 *n2 *n3

            2   4   2   4   4   4        2   4   2   2   10
    + 16*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

            2   4   2   2   8   2         2   4   2   2   6   4
    - 12*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2 *n3

            2   3   3   9   3         2   3   3   9      2
    + 12*a33 *m1 *m2 *n1 *n2  - 12*a33 *m1 *m2 *n1 *n2*n3

            2   3   3   7   3   2         2   3   3   7      4
    + 64*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2*n3

            2   3   3   5   7         2   3   3   5   5   2
    - 32*a33 *m1 *m2 *n1 *n2  + 64*a33 *m1 *m2 *n1 *n2 *n3

            2   3   3   5   3   4         2   3   3   3   9
    + 64*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2

            2   3   3   3   7   2         2   3   3   3   5   4
    - 32*a33 *m1 *m2 *n1 *n2 *n3  + 64*a33 *m1 *m2 *n1 *n2 *n3

           2   3   3      11         2   3   3      9   2
    + 4*a33 *m1 *m2 *n1*n2   - 20*a33 *m1 *m2 *n1*n2 *n3

            2   3   3      7   4        2   2   4   10   2
    - 32*a33 *m1 *m2 *n1*n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

            2   2   4   8   4         2   2   4   8   2   2
    + 16*a33 *m1 *m2 *n1 *n2  - 36*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   6   6         2   2   4   6   4   2
    + 32*a33 *m1 *m2 *n1 *n2  + 24*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   6   2   4         2   2   4   4   6   2
    - 48*a33 *m1 *m2 *n1 *n2 *n3  + 88*a33 *m1 *m2 *n1 *n2 *n3

            2   2   4   4   4   4         2   2   4   2   10
    + 16*a33 *m1 *m2 *n1 *n2 *n3  - 12*a33 *m1 *m2 *n1 *n2

            2   2   4   2   8   2         2   2   4   2   6   4
    + 20*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

           2   2   4   10   2        2   2   4   8   4        2      5   9   3
    - 8*a33 *m1 *m2 *n2  *n3  - 8*a33 *m1 *m2 *n2 *n3  - 8*a33 *m1*m2 *n1 *n2

           2      5   7   5         2      5   7   3   2
    - 4*a33 *m1*m2 *n1 *n2  - 36*a33 *m1*m2 *n1 *n2 *n3

            2      5   5   7         2      5   5   5   2
    + 16*a33 *m1*m2 *n1 *n2  - 32*a33 *m1*m2 *n1 *n2 *n3

            2      5   5   3   4         2      5   3   9
    - 32*a33 *m1*m2 *n1 *n2 *n3  + 12*a33 *m1*m2 *n1 *n2

            2      5   3   7   2         2      5   3   5   4
    + 20*a33 *m1*m2 *n1 *n2 *n3  - 16*a33 *m1*m2 *n1 *n2 *n3

            2      5      9   2         2      5      7   4        2   6   8   4
    + 16*a33 *m1*m2 *n1*n2 *n3  + 16*a33 *m1*m2 *n1*n2 *n3  - 4*a33 *m2 *n1 *n2

           2   6   6   6         2   6   6   4   2        2   6   4   8
    - 8*a33 *m2 *n1 *n2  - 12*a33 *m2 *n1 *n2 *n3  - 4*a33 *m2 *n1 *n2

            2   6   4   6   2        2   6   4   4   4        2   6   2   8   2
    - 20*a33 *m2 *n1 *n2 *n3  - 8*a33 *m2 *n1 *n2 *n3  - 8*a33 *m2 *n1 *n2 *n3

           2   6   2   6   4
    - 8*a33 *m2 *n1 *n2 *n3 )


          3   3               3      2               2      2
r30=( - m1 *n1 *n3*r496 - 3*m1 *n1*n2 *n3*r496 + 3*m1 *m2*n1 *n2*n3*r496

            2      3             2   3                2      3
      - 3*m1 *m2*n2 *n3*r496 + m1 *n1 *n2*n3*r483 + m1 *n1*n2 *n3*r483

               2   3                  2      2                   4
      - 3*m1*m2 *n1 *n3*r496 + 3*m1*m2 *n1*n2 *n3*r496 - m1*m2*n1 *n3*r483

                4               3   2                3   3
      + m1*m2*n2 *n3*r483 - 3*m2 *n1 *n2*n3*r496 - m2 *n2 *n3*r496

          2   3                2      3                    4
      - m2 *n1 *n2*n3*r483 - m2 *n1*n2 *n3*r483)/(a33*m1*n1 *n2

                 2   3            5            5              3   2
    + 2*a33*m1*n1 *n2  + a33*m1*n2  - a33*m2*n1  - 2*a33*m2*n1 *n2

                  4
    - a33*m2*n1*n2 )


             2   11      14   5   2             2   11      14   3   4
r31=( - 4*a33 *m1  *m2*n1  *n2 *n3 *r214 + 8*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   11      12   7   2              2   11      12   5   4
      - 16*a33 *m1  *m2*n1  *n2 *n3 *r214 + 32*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   11      10   9   2              2   11      10   7   4
      - 24*a33 *m1  *m2*n1  *n2 *n3 *r214 + 48*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   11      8   11   2              2   11      8   9   4
      - 16*a33 *m1  *m2*n1 *n2  *n3 *r214 + 32*a33 *m1  *m2*n1 *n2 *n3 *r214

             2   11      6   13   2             2   11      6   11   4
      - 4*a33 *m1  *m2*n1 *n2  *n3 *r214 + 8*a33 *m1  *m2*n1 *n2  *n3 *r214

             2   10   2   15   6              2   10   2   15   4   2
      - 4*a33 *m1  *m2 *n1  *n2 *r214 + 24*a33 *m1  *m2 *n1  *n2 *n3 *r214

              2   10   2   15   2   4              2   10   2   13   8
      - 24*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 20*a33 *m1  *m2 *n1  *n2 *r214

              2   10   2   13   6   2              2   10   2   13   4   4
      + 84*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1  *m2 *n1  *n2 *n3 *r214

              2   10   2   11   10              2   10   2   11   8   2
      - 40*a33 *m1  *m2 *n1  *n2  *r214 + 96*a33 *m1  *m2 *n1  *n2 *n3 *r214

              2   10   2   11   6   4              2   10   2   9   12
      + 48*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 40*a33 *m1  *m2 *n1 *n2  *r214

              2   10   2   9   10   2               2   10   2   9   8   4
      + 24*a33 *m1  *m2 *n1 *n2  *n3 *r214 + 192*a33 *m1  *m2 *n1 *n2 *n3 *r214

              2   10   2   7   14              2   10   2   7   12   2
      - 20*a33 *m1  *m2 *n1 *n2  *r214 - 24*a33 *m1  *m2 *n1 *n2  *n3 *r214

               2   10   2   7   10   4             2   10   2   5   16
      + 168*a33 *m1  *m2 *n1 *n2  *n3 *r214 - 4*a33 *m1  *m2 *n1 *n2  *r214

              2   10   2   5   14   2              2   10   2   5   12   4
      - 12*a33 *m1  *m2 *n1 *n2  *n3 *r214 + 48*a33 *m1  *m2 *n1 *n2  *n3 *r214

             2   10      16   4   2             2   10      16   2   4
      - 2*a33 *m1  *m2*n1  *n2 *n3 *r216 + 4*a33 *m1  *m2*n1  *n2 *n3 *r216

              2   10      14   6   2              2   10      14   4   4
      - 10*a33 *m1  *m2*n1  *n2 *n3 *r216 + 20*a33 *m1  *m2*n1  *n2 *n3 *r216

              2   10      12   8   2              2   10      12   6   4
      - 20*a33 *m1  *m2*n1  *n2 *n3 *r216 + 40*a33 *m1  *m2*n1  *n2 *n3 *r216

              2   10      10   10   2              2   10      10   8   4
      - 20*a33 *m1  *m2*n1  *n2  *n3 *r216 + 40*a33 *m1  *m2*n1  *n2 *n3 *r216

              2   10      8   12   2              2   10      8   10   4
      - 10*a33 *m1  *m2*n1 *n2  *n3 *r216 + 20*a33 *m1  *m2*n1 *n2  *n3 *r216

             2   10      6   14   2             2   10      6   12   4
      - 2*a33 *m1  *m2*n1 *n2  *n3 *r216 + 4*a33 *m1  *m2*n1 *n2  *n3 *r216

              2   9   3   16   5              2   9   3   16   3   2
      + 16*a33 *m1 *m2 *n1  *n2 *r214 - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   3   16      4              2   9   3   14   7
      + 24*a33 *m1 *m2 *n1  *n2*n3 *r214 + 64*a33 *m1 *m2 *n1  *n2 *r214

               2   9   3   14   5   2              2   9   3   14   3   4
      - 100*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   3   12   9              2   9   3   12   7   2
      + 80*a33 *m1 *m2 *n1  *n2 *r214 + 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   3   12   5   4               2   9   3   10   9   2
      - 280*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 360*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   3   10   7   4              2   9   3   8   13
      - 240*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2  *r214

               2   9   3   8   11   2               2   9   3   8   9   4
      + 320*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 200*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9   3   6   15              2   9   3   6   13   2
      - 64*a33 *m1 *m2 *n1 *n2  *r214 + 92*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   3   6   11   4              2   9   3   4   17
      + 344*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   9   3   4   13   4             2   9   2   17   5
      + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 2*a33 *m1 *m2 *n1  *n2 *r216

              2   9   2   17   3   2             2   9   2   17      4
      + 10*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   9   2   15   7              2   9   2   15   5   2
      - 12*a33 *m1 *m2 *n1  *n2 *r216 + 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   9   2   15   3   4              2   9   2   13   9
      - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 30*a33 *m1 *m2 *n1  *n2 *r216

              2   9   2   13   7   2              2   9   2   13   5   4
      + 70*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   9   2   11   11              2   9   2   11   9   2
      - 40*a33 *m1 *m2 *n1  *n2  *r216 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   9   2   11   7   4              2   9   2   9   13
      + 160*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 30*a33 *m1 *m2 *n1 *n2  *r216

              2   9   2   9   11   2               2   9   2   9   9   4
      - 10*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 200*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   9   2   7   15              2   9   2   7   13   2
      - 12*a33 *m1 *m2 *n1 *n2  *r216 - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   9   2   7   11   4             2   9   2   5   17
      + 112*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

             2   9   2   5   15   2              2   9   2   5   13   4
      - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   8   4   17   4              2   8   4   17   2   2
      - 24*a33 *m1 *m2 *n1  *n2 *r214 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   8   4   17   4              2   8   4   15   6
      - 8*a33 *m1 *m2 *n1  *n3 *r214 - 60*a33 *m1 *m2 *n1  *n2 *r214

              2   8   4   15   4   2              2   8   4   15   2   4
      - 32*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   4   13   8               2   8   4   13   6   2
      + 36*a33 *m1 *m2 *n1  *n2 *r214 - 420*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   4   13   4   4               2   8   4   11   10
      + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1  *n2  *r214

               2   8   4   11   8   2               2   8   4   11   6   4
      - 520*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 400*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   4   9   12              2   8   4   9   10   2
      + 240*a33 *m1 *m2 *n1 *n2  *r214 + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   4   9   8   4              2   8   4   7   14
      - 760*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 36*a33 *m1 *m2 *n1 *n2  *r214

               2   8   4   7   12   2               2   8   4   7   10   4
      + 480*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 168*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   8   4   5   16               2   8   4   5   14   2
      - 60*a33 *m1 *m2 *n1 *n2  *r214 + 268*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   4   5   12   4              2   8   4   3   18
      + 328*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 24*a33 *m1 *m2 *n1 *n2  *r214

              2   8   4   3   16   2               2   8   4   3   14   4
      + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 160*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   8   3   18   4              2   8   3   18   2   2
      + 6*a33 *m1 *m2 *n1  *n2 *r216 - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   8   3   18   4              2   8   3   16   6
      + 4*a33 *m1 *m2 *n1  *n3 *r216 + 28*a33 *m1 *m2 *n1  *n2 *r216

              2   8   3   16   4   2              2   8   3   16   2   4
      - 30*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   3   14   8              2   8   3   14   6   2
      + 42*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   3   14   4   4               2   8   3   12   8   2
      - 120*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 260*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   3   12   6   4              2   8   3   10   12
      - 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 70*a33 *m1 *m2 *n1  *n2  *r216

               2   8   3   10   10   2               2   8   3   10   8   4
      + 330*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   3   8   14               2   8   3   8   12   2
      - 84*a33 *m1 *m2 *n1 *n2  *r216 + 186*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   3   8   10   4              2   8   3   6   16
      + 384*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 42*a33 *m1 *m2 *n1 *n2  *r216

              2   8   3   6   14   2               2   8   3   6   12   4
      + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 256*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   8   3   4   18              2   8   3   4   14   4
      - 8*a33 *m1 *m2 *n1 *n2  *r216 + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   5   18   3              2   7   5   18      2
      + 16*a33 *m1 *m2 *n1  *n2 *r214 - 12*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   7   5   16   3   2              2   7   5   16      4
      + 96*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   5   14   7               2   7   5   14   5   2
      - 160*a33 *m1 *m2 *n1  *n2 *r214 + 240*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   5   14   3   4               2   7   5   12   9
      + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 256*a33 *m1 *m2 *n1  *n2 *r214

               2   7   5   12   7   2               2   7   5   12   5   4
      - 240*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 360*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   5   10   9   2               2   7   5   10   7   4
      - 960*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   5   8   13               2   7   5   8   11   2
      + 256*a33 *m1 *m2 *n1 *n2  *r214 - 672*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   5   8   9   4               2   7   5   6   15
      - 840*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 160*a33 *m1 *m2 *n1 *n2  *r214

              2   7   5   6   13   2               2   7   5   6   11   4
      + 96*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 504*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   5   4   15   2               2   7   5   4   13   4
      + 240*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   5   2   19              2   7   5   2   17   2
      - 16*a33 *m1 *m2 *n1 *n2  *r214 + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   5   2   15   4             2   7   4   19   3
      + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 6*a33 *m1 *m2 *n1  *n2 *r216

             2   7   4   19      2              2   7   4   17   5
      + 6*a33 *m1 *m2 *n1  *n2*n3 *r216 - 14*a33 *m1 *m2 *n1  *n2 *r216

              2   7   4   17   3   2              2   7   4   17      4
      - 26*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   7   4   15   7               2   7   4   15   5   2
      + 30*a33 *m1 *m2 *n1  *n2 *r216 - 166*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   4   15   3   4               2   7   4   13   9
      - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 138*a33 *m1 *m2 *n1  *n2 *r216

               2   7   4   13   7   2               2   7   4   13   5   4
      - 210*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 240*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   4   11   11               2   7   4   11   9   2
      + 170*a33 *m1 *m2 *n1  *n2  *r216 + 110*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   4   11   7   4              2   7   4   9   13
      - 400*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 54*a33 *m1 *m2 *n1 *n2  *r216

               2   7   4   9   11   2              2   7   4   9   9   4
      + 466*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   7   4   7   15               2   7   4   7   13   2
      - 54*a33 *m1 *m2 *n1 *n2  *r216 + 414*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   4   7   11   4              2   7   4   5   17
      + 336*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 50*a33 *m1 *m2 *n1 *n2  *r216

               2   7   4   5   15   2               2   7   4   5   13   4
      + 154*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 304*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   4   3   19              2   7   4   3   17   2
      - 12*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   4   3   15   4             2   6   6   19   2
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

              2   6   6   17   4              2   6   6   17   2   2
      + 20*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   6   6   17   4              2   6   6   15   6
      - 8*a33 *m1 *m2 *n1  *n3 *r214 + 80*a33 *m1 *m2 *n1  *n2 *r214

              2   6   6   15   4   2             2   6   6   15   2   4
      + 64*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   6   13   6   2               2   6   6   13   4   4
      + 336*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 168*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   6   11   10               2   6   6   11   8   2
      - 224*a33 *m1 *m2 *n1  *n2  *r214 + 224*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   6   11   6   4               2   6   6   9   12
      + 392*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 224*a33 *m1 *m2 *n1 *n2  *r214

               2   6   6   9   10   2              2   6   6   9   8   4
      - 448*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   6   7   12   2               2   6   6   7   10   4
      - 672*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 504*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   6   6   5   16               2   6   6   5   14   2
      + 80*a33 *m1 *m2 *n1 *n2  *r214 - 224*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   6   5   12   4              2   6   6   3   18
      - 392*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 20*a33 *m1 *m2 *n1 *n2  *r214

              2   6   6   3   16   2             2   6   6   3   14   4
      + 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   6   6      20              2   6   6      18   2
      - 4*a33 *m1 *m2 *n1*n2  *r214 + 36*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   6   6      16   4             2   6   5   20   2
      + 48*a33 *m1 *m2 *n1*n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

             2   6   5   18   4              2   6   5   18   2   2
      - 6*a33 *m1 *m2 *n1  *n2 *r216 + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216

             2   6   5   18   4              2   6   5   16   6
      + 4*a33 *m1 *m2 *n1  *n3 *r216 - 50*a33 *m1 *m2 *n1  *n2 *r216

             2   6   5   16   4   2              2   6   5   16   2   4
      + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   5   14   8               2   6   5   14   6   2
      - 70*a33 *m1 *m2 *n1  *n2 *r216 - 210*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   5   12   10               2   6   5   12   8   2
      + 42*a33 *m1 *m2 *n1  *n2  *r216 - 490*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   5   12   6   4               2   6   5   10   12
      - 280*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 182*a33 *m1 *m2 *n1  *n2  *r216

               2   6   5   10   10   2               2   6   5   10   8   4
      - 350*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 560*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   5   8   14               2   6   5   8   12   2
      + 154*a33 *m1 *m2 *n1 *n2  *r216 + 126*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   5   8   10   4              2   6   5   6   16
      - 336*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 30*a33 *m1 *m2 *n1 *n2  *r216

               2   6   5   6   14   2               2   6   5   6   12   4
      + 322*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 112*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   6   5   4   18               2   6   5   4   16   2
      - 20*a33 *m1 *m2 *n1 *n2  *r216 + 170*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   5   4   14   4             2   6   5   2   20
      + 200*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

              2   6   5   2   18   2              2   6   5   2   16   4
      + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   7   18      2              2   5   7   16   3   2
      - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   5   7   16      4               2   5   7   14   5   2
      - 48*a33 *m1 *m2 *n1  *n2*n3 *r214 + 176*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   5   7   14   3   4               2   5   7   12   7   2
      + 8*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 224*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   7   12   5   4               2   5   7   10   7   4
      + 392*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 504*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   7   8   11   2              2   5   7   8   9   4
      - 224*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   7   6   13   2               2   5   7   6   11   4
      - 224*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 392*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   7   4   15   2               2   5   7   4   13   4
      - 96*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 168*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   5   7   2   17   2             2   5   7   2   15   4
      - 4*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   5   7   19   2             2   5   7   17   4
      + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

             2   5   6   19   3             2   5   6   19      2
      + 2*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   5   6   17   3   2              2   5   6   17      4
      + 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   5   6   15   7              2   5   6   15   5   2
      - 30*a33 *m1 *m2 *n1  *n2 *r216 - 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   6   15   3   4              2   5   6   13   9
      + 80*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 70*a33 *m1 *m2 *n1  *n2 *r216

               2   5   6   13   7   2              2   5   6   11   11
      - 210*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1  *n2  *r216

               2   5   6   11   9   2               2   5   6   11   7   4
      - 462*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 336*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   6   9   13               2   5   6   9   11   2
      + 42*a33 *m1 *m2 *n1 *n2  *r216 - 434*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   6   9   9   4              2   5   6   7   15
      - 560*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 70*a33 *m1 *m2 *n1 *n2  *r216

               2   5   6   7   13   2               2   5   6   7   11   4
      - 126*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 336*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   6   5   17              2   5   6   5   15   2
      + 30*a33 *m1 *m2 *n1 *n2  *r216 + 90*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   6   3   17   2              2   5   6   3   15   4
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   5   6      21              2   5   6      19   2
      - 2*a33 *m1 *m2 *n1*n2  *r216 + 18*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   5   6      17   4             2   4   8   19   2
      + 24*a33 *m1 *m2 *n1*n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

              2   4   8   17   4              2   4   8   17   2   2
      + 20*a33 *m1 *m2 *n1  *n2 *r214 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   4   8   15   6               2   4   8   15   2   4
      + 80*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   8   13   6   2               2   4   8   13   4   4
      + 480*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   8   11   10               2   4   8   11   8   2
      - 224*a33 *m1 *m2 *n1  *n2  *r214 + 672*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   8   11   6   4               2   4   8   9   12
      + 504*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 224*a33 *m1 *m2 *n1 *n2  *r214

               2   4   8   9   8   4               2   4   8   7   12   2
      + 840*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 480*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   8   7   10   4              2   4   8   5   16
      + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2  *r214

               2   4   8   5   14   2               2   4   8   5   12   4
      - 240*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   8   3   18               2   4   8   3   14   4
      + 20*a33 *m1 *m2 *n1 *n2  *r214 - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   4   8      20              2   4   8      18   2
      - 4*a33 *m1 *m2 *n1*n2  *r214 + 12*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   4   8      16   4             2   4   7   20   2
      + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

              2   4   7   18   2   2              2   4   7   16   6
      + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 30*a33 *m1 *m2 *n1  *n2 *r216

              2   4   7   16   4   2              2   4   7   16   2   4
      + 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   7   14   8              2   4   7   14   6   2
      - 70*a33 *m1 *m2 *n1  *n2 *r216 - 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   7   14   4   4              2   4   7   12   10
      + 200*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1  *n2  *r216

               2   4   7   12   8   2               2   4   7   12   6   4
      - 350*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 112*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   7   10   12               2   4   7   10   10   2
      + 42*a33 *m1 *m2 *n1  *n2  *r216 - 546*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   4   7   10   8   4              2   4   7   8   14
      - 336*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 70*a33 *m1 *m2 *n1 *n2  *r216

               2   4   7   8   12   2               2   4   7   8   10   4
      - 350*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 560*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   7   6   16              2   4   7   6   14   2
      + 30*a33 *m1 *m2 *n1 *n2  *r216 - 70*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   7   6   12   4              2   4   7   4   16   2
      - 280*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   4   7   2   20              2   4   7   2   18   2
      - 2*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   7   2   16   4             2   4   7   20   2
      + 32*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

             2   4   7   18   4              2   3   9   18   3
      + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   3   9   16   3   2               2   3   9   14   7
      - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 160*a33 *m1 *m2 *n1  *n2 *r214

               2   3   9   14   5   2               2   3   9   14   3   4
      - 220*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 160*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   9   12   9               2   3   9   12   7   2
      + 256*a33 *m1 *m2 *n1  *n2 *r214 + 320*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   9   12   5   4                2   3   9   10   9   2
      - 328*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 1008*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   9   10   7   4               2   3   9   8   13
      + 168*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 256*a33 *m1 *m2 *n1 *n2  *r214

               2   3   9   8   11   2               2   3   9   8   9   4
      + 640*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 760*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   9   6   15               2   3   9   6   13   2
      - 160*a33 *m1 *m2 *n1 *n2  *r214 - 140*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   9   6   11   4               2   3   9   4   15   2
      + 400*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 240*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   9   4   13   4              2   3   9   2   19
      - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

              2   3   9   2   17   2              2   3   9   2   15   4
      - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   3   9   19   2             2   3   9   17   4
      + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

             2   3   8   19   3              2   3   8   17   5
      + 8*a33 *m1 *m2 *n1  *n2 *r216 + 20*a33 *m1 *m2 *n1  *n2 *r216

              2   3   8   17   3   2              2   3   8   15   7
      + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 30*a33 *m1 *m2 *n1  *n2 *r216

               2   3   8   15   5   2              2   3   8   15   3   4
      + 230*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   8   13   9               2   3   8   13   7   2
      - 154*a33 *m1 *m2 *n1  *n2 *r216 + 226*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   8   13   5   4               2   3   8   11   11
      + 304*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 182*a33 *m1 *m2 *n1  *n2  *r216

               2   3   8   11   9   2               2   3   8   11   7   4
      - 210*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 336*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   8   9   13               2   3   8   9   11   2
      - 42*a33 *m1 *m2 *n1 *n2  *r216 - 590*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   8   9   9   4              2   3   8   7   15
      - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 70*a33 *m1 *m2 *n1 *n2  *r216

               2   3   8   7   13   2               2   3   8   7   11   4
      - 430*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 400*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   8   5   17              2   3   8   5   15   2
      + 50*a33 *m1 *m2 *n1 *n2  *r216 - 90*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   8   5   13   4             2   3   8   3   19
      - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

              2   3   8   3   17   2              2   3   8   3   15   4
      + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   3   8      21              2   3   8      19   2
      - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   3   8      17   4              2   2   10   17   4
      + 16*a33 *m1 *m2 *n1*n2  *n3 *r216 - 24*a33 *m1 *m2  *n1  *n2 *r214

              2   2   10   15   6               2   2   10   15   4   2
      - 60*a33 *m1 *m2  *n1  *n2 *r214 - 120*a33 *m1 *m2  *n1  *n2 *n3 *r214

              2   2   10   13   8               2   2   10   13   6   2
      + 36*a33 *m1 *m2  *n1  *n2 *r214 - 372*a33 *m1 *m2  *n1  *n2 *n3 *r214

               2   2   10   13   4   4               2   2   10   11   10
      - 120*a33 *m1 *m2  *n1  *n2 *n3 *r214 + 240*a33 *m1 *m2  *n1  *n2  *r214

               2   2   10   11   8   2
      - 224*a33 *m1 *m2  *n1  *n2 *n3 *r214

               2   2   10   11   6   4               2   2   10   9   12
      - 344*a33 *m1 *m2  *n1  *n2 *n3 *r214 + 240*a33 *m1 *m2  *n1 *n2  *r214

               2   2   10   9   10   2               2   2   10   9   8   4
      + 400*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 200*a33 *m1 *m2  *n1 *n2 *n3 *r214

              2   2   10   7   14               2   2   10   7   12   2
      + 36*a33 *m1 *m2  *n1 *n2  *r214 + 600*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   2   10   7   10   4              2   2   10   5   16
      + 240*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 60*a33 *m1 *m2  *n1 *n2  *r214

               2   2   10   5   14   2
      + 220*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   2   10   5   12   4              2   2   10   3   18
      + 280*a33 *m1 *m2  *n1 *n2  *n3 *r214 - 24*a33 *m1 *m2  *n1 *n2  *r214

              2   2   10   3   16   2              2   2   10   3   14   4
      - 32*a33 *m1 *m2  *n1 *n2  *n3 *r214 + 40*a33 *m1 *m2  *n1 *n2  *n3 *r214

              2   2   10      18   2              2   2   10      16   4
      - 24*a33 *m1 *m2  *n1*n2  *n3 *r214 - 24*a33 *m1 *m2  *n1*n2  *n3 *r214

              2   2   9   18   4              2   2   9   16   6
      + 12*a33 *m1 *m2 *n1  *n2 *r216 + 50*a33 *m1 *m2 *n1  *n2 *r216

              2   2   9   16   4   2              2   2   9   14   8
      + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 54*a33 *m1 *m2 *n1  *n2 *r216

               2   2   9   14   6   2              2   2   9   14   4   4
      + 276*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   2   9   12   10               2   2   9   12   8   2
      - 54*a33 *m1 *m2 *n1  *n2  *r216 + 454*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   9   12   6   4               2   2   9   10   12
      + 256*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 170*a33 *m1 *m2 *n1  *n2  *r216

               2   2   9   10   10   2               2   2   9   10   8   4
      + 234*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 384*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   9   8   14               2   2   9   8   12   2
      - 138*a33 *m1 *m2 *n1 *n2  *r216 - 180*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   9   8   10   4              2   2   9   6   16
      + 180*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 30*a33 *m1 *m2 *n1 *n2  *r216

               2   2   9   6   14   2               2   2   9   6   12   4
      - 280*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 100*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   9   4   18               2   2   9   4   16   2
      + 14*a33 *m1 *m2 *n1 *n2  *r216 - 114*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   9   4   14   4             2   2   9   2   20
      - 120*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

             2   2   9   2   18   2              2   2   9   2   16   4
      - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   2   9   20   2             2   2   9   18   4
      + 4*a33 *m1 *m2 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2      11   16   5              2      11   14   7
      - 16*a33 *m1*m2  *n1  *n2 *r214 - 64*a33 *m1*m2  *n1  *n2 *r214

              2      11   14   5   2              2      11   12   9
      - 60*a33 *m1*m2  *n1  *n2 *n3 *r214 - 80*a33 *m1*m2  *n1  *n2 *r214

               2      11   12   7   2              2      11   12   5   4
      - 240*a33 *m1*m2  *n1  *n2 *n3 *r214 - 48*a33 *m1*m2  *n1  *n2 *n3 *r214

               2      11   10   9   2               2      11   10   7   4
      - 336*a33 *m1*m2  *n1  *n2 *n3 *r214 - 168*a33 *m1*m2  *n1  *n2 *n3 *r214

              2      11   8   13               2      11   8   11   2
      + 80*a33 *m1*m2  *n1 *n2  *r214 - 144*a33 *m1*m2  *n1 *n2  *n3 *r214

               2      11   8   9   4              2      11   6   15
      - 192*a33 *m1*m2  *n1 *n2 *n3 *r214 + 64*a33 *m1*m2  *n1 *n2  *r214

              2      11   6   13   2              2      11   6   11   4
      + 84*a33 *m1*m2  *n1 *n2  *n3 *r214 - 48*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      11   4   17              2      11   4   15   2
      + 16*a33 *m1*m2  *n1 *n2  *r214 + 96*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      11   4   13   4              2      11   2   17   2
      + 48*a33 *m1*m2  *n1 *n2  *n3 *r214 + 24*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      11   2   15   4             2      10   17   5
      + 24*a33 *m1*m2  *n1 *n2  *n3 *r214 + 8*a33 *m1*m2  *n1  *n2 *r216

              2      10   15   7              2      10   15   5   2
      + 42*a33 *m1*m2  *n1  *n2 *r216 + 30*a33 *m1*m2  *n1  *n2 *n3 *r216

              2      10   13   9               2      10   13   7   2
      + 84*a33 *m1*m2  *n1  *n2 *r216 + 156*a33 *m1*m2  *n1  *n2 *n3 *r216

              2      10   13   5   4              2      10   11   11
      + 24*a33 *m1*m2  *n1  *n2 *n3 *r216 + 70*a33 *m1*m2  *n1  *n2  *r216

               2      10   11   9   2               2      10   11   7   4
      + 322*a33 *m1*m2  *n1  *n2 *n3 *r216 + 112*a33 *m1*m2  *n1  *n2 *n3 *r216

               2      10   9   11   2               2      10   9   9   4
      + 320*a33 *m1*m2  *n1 *n2  *n3 *r216 + 200*a33 *m1*m2  *n1 *n2 *n3 *r216

              2      10   7   15               2      10   7   13   2
      - 42*a33 *m1*m2  *n1 *n2  *r216 + 130*a33 *m1*m2  *n1 *n2  *n3 *r216

               2      10   7   11   4              2      10   5   17
      + 160*a33 *m1*m2  *n1 *n2  *n3 *r216 - 28*a33 *m1*m2  *n1 *n2  *r216

              2      10   5   15   2              2      10   5   13   4
      - 20*a33 *m1*m2  *n1 *n2  *n3 *r216 + 40*a33 *m1*m2  *n1 *n2  *n3 *r216

             2      10   3   19              2      10   3   17   2
      - 6*a33 *m1*m2  *n1 *n2  *r216 - 34*a33 *m1*m2  *n1 *n2  *n3 *r216

              2      10   3   15   4             2      10      19   2
      - 16*a33 *m1*m2  *n1 *n2  *n3 *r216 - 8*a33 *m1*m2  *n1*n2  *n3 *r216

             2      10      17   4             2   12   15   6
      - 8*a33 *m1*m2  *n1*n2  *n3 *r216 - 4*a33 *m2  *n1  *n2 *r214

              2   12   13   8              2   12   13   6   2
      - 20*a33 *m2  *n1  *n2 *r214 - 12*a33 *m2  *n1  *n2 *n3 *r214

              2   12   11   10              2   12   11   8   2
      - 40*a33 *m2  *n1  *n2  *r214 - 56*a33 *m2  *n1  *n2 *n3 *r214

             2   12   11   6   4              2   12   9   12
      - 8*a33 *m2  *n1  *n2 *n3 *r214 - 40*a33 *m2  *n1 *n2  *r214

               2   12   9   10   2              2   12   9   8   4
      - 104*a33 *m2  *n1 *n2  *n3 *r214 - 32*a33 *m2  *n1 *n2 *n3 *r214

              2   12   7   14              2   12   7   12   2
      - 20*a33 *m2  *n1 *n2  *r214 - 96*a33 *m2  *n1 *n2  *n3 *r214

              2   12   7   10   4             2   12   5   16
      - 48*a33 *m2  *n1 *n2  *n3 *r214 - 4*a33 *m2  *n1 *n2  *r214

              2   12   5   14   2              2   12   5   12   4
      - 44*a33 *m2  *n1 *n2  *n3 *r214 - 32*a33 *m2  *n1 *n2  *n3 *r214

             2   12   3   16   2             2   12   3   14   4
      - 8*a33 *m2  *n1 *n2  *n3 *r214 - 8*a33 *m2  *n1 *n2  *n3 *r214

             2   11   16   6              2   11   14   8
      + 2*a33 *m2  *n1  *n2 *r216 + 12*a33 *m2  *n1  *n2 *r216

             2   11   14   6   2              2   11   12   10
      + 6*a33 *m2  *n1  *n2 *n3 *r216 + 30*a33 *m2  *n1  *n2  *r216

              2   11   12   8   2             2   11   12   6   4
      + 34*a33 *m2  *n1  *n2 *n3 *r216 + 4*a33 *m2  *n1  *n2 *n3 *r216

              2   11   10   12              2   11   10   10   2
      + 40*a33 *m2  *n1  *n2  *r216 + 80*a33 *m2  *n1  *n2  *n3 *r216

              2   11   10   8   4              2   11   8   14
      + 20*a33 *m2  *n1  *n2 *n3 *r216 + 30*a33 *m2  *n1 *n2  *r216

               2   11   8   12   2              2   11   8   10   4
      + 100*a33 *m2  *n1 *n2  *n3 *r216 + 40*a33 *m2  *n1 *n2  *n3 *r216

              2   11   6   16              2   11   6   14   2
      + 12*a33 *m2  *n1 *n2  *r216 + 70*a33 *m2  *n1 *n2  *n3 *r216

              2   11   6   12   4             2   11   4   18
      + 40*a33 *m2  *n1 *n2  *n3 *r216 + 2*a33 *m2  *n1 *n2  *r216

              2   11   4   16   2              2   11   4   14   4
      + 26*a33 *m2  *n1 *n2  *n3 *r216 + 20*a33 *m2  *n1 *n2  *n3 *r216

             2   11   2   18   2             2   11   2   16   4
      + 4*a33 *m2  *n1 *n2  *n3 *r216 + 4*a33 *m2  *n1 *n2  *n3 *r216

            11   17   5   2            11   17   3   4
      - 4*m1  *n1  *n2 *n3 *r496 + 8*m1  *n1  *n2 *n3 *r496

             11   15   7   2             11   15   5   4
      - 20*m1  *n1  *n2 *n3 *r496 + 40*m1  *n1  *n2 *n3 *r496

             11   13   9   2             11   13   7   4
      - 24*m1  *n1  *n2 *n3 *r496 + 48*m1  *n1  *n2 *n3 *r496

            11   11   11   2             11   11   9   4
      + 8*m1  *n1  *n2  *n3 *r496 - 16*m1  *n1  *n2 *n3 *r496

             11   9   13   2             11   9   11   4
      + 28*m1  *n1 *n2  *n3 *r496 - 56*m1  *n1 *n2  *n3 *r496

             11   7   15   2             11   7   13   4
      + 12*m1  *n1 *n2  *n3 *r496 - 24*m1  *n1 *n2  *n3 *r496

            10      18   6             10      18   4   2
      - 4*m1  *m2*n1  *n2 *r496 + 20*m1  *m2*n1  *n2 *n3 *r496

             10      18   2   4             10      16   8
      - 16*m1  *m2*n1  *n2 *n3 *r496 - 24*m1  *m2*n1  *n2 *r496

              10      16   6   2             10      16   4   4
      + 103*m1  *m2*n1  *n2 *n3 *r496 - 62*m1  *m2*n1  *n2 *n3 *r496

             10      14   10             10      14   8   2
      - 44*m1  *m2*n1  *n2  *r496 + 79*m1  *m2*n1  *n2 *n3 *r496

              10      14   6   4             10      12   12
      + 106*m1  *m2*n1  *n2 *n3 *r496 - 16*m1  *m2*n1  *n2  *r496

              10      12   10   2              10      12   8   4
      - 138*m1  *m2*n1  *n2  *n3 *r496 + 372*m1  *m2*n1  *n2 *n3 *r496

             10      10   14              10      10   12   2
      + 36*m1  *m2*n1  *n2  *r496 - 158*m1  *m2*n1  *n2  *n3 *r496

              10      10   10   4             10      8   16
      + 100*m1  *m2*n1  *n2  *n3 *r496 + 40*m1  *m2*n1 *n2  *r496

             10      8   14   2              10      8   12   4
      + 19*m1  *m2*n1 *n2  *n3 *r496 - 278*m1  *m2*n1 *n2  *n3 *r496

             10      6   18             10      6   16   2
      + 12*m1  *m2*n1 *n2  *r496 + 43*m1  *m2*n1 *n2  *n3 *r496

              10      6   14   4            10   17   6   2
      - 158*m1  *m2*n1 *n2  *n3 *r496 + 4*m1  *n1  *n2 *n3 *r483

            10   17   4   4             10   15   8   2
      - 8*m1  *n1  *n2 *n3 *r483 + 12*m1  *n1  *n2 *n3 *r483

             10   15   6   4            10   13   10   2
      - 24*m1  *n1  *n2 *n3 *r483 + 8*m1  *n1  *n2  *n3 *r483

             10   13   8   4            10   11   12   2
      - 16*m1  *n1  *n2 *n3 *r483 - 8*m1  *n1  *n2  *n3 *r483

             10   11   10   4             10   9   14   2
      + 16*m1  *n1  *n2  *n3 *r483 - 12*m1  *n1 *n2  *n3 *r483

             10   9   12   4            10   7   16   2
      + 24*m1  *n1 *n2  *n3 *r483 - 4*m1  *n1 *n2  *n3 *r483

            10   7   14   4             9   2   19   5
      + 8*m1  *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1  *n2 *r496

             9   2   19   3   2             9   2   19      4
      - 29*m1 *m2 *n1  *n2 *n3 *r496 + 10*m1 *m2 *n1  *n2*n3 *r496

             9   2   17   7              9   2   17   5   2
      + 71*m1 *m2 *n1  *n2 *r496 - 157*m1 *m2 *n1  *n2 *n3 *r496

             9   2   17   3   4             9   2   15   9
      + 56*m1 *m2 *n1  *n2 *n3 *r496 + 70*m1 *m2 *n1  *n2 *r496

              9   2   15   7   2              9   2   15   5   4
      + 151*m1 *m2 *n1  *n2 *n3 *r496 - 314*m1 *m2 *n1  *n2 *n3 *r496

              9   2   13   11              9   2   13   9   2
      - 135*m1 *m2 *n1  *n2  *r496 + 735*m1 *m2 *n1  *n2 *n3 *r496

              9   2   13   7   4              9   2   11   13
      - 300*m1 *m2 *n1  *n2 *n3 *r496 - 240*m1 *m2 *n1  *n2  *r496

              9   2   11   11   2              9   2   11   9   4
      + 185*m1 *m2 *n1  *n2  *n3 *r496 + 950*m1 *m2 *n1  *n2 *n3 *r496

             9   2   9   15              9   2   9   13   2
      - 23*m1 *m2 *n1 *n2  *r496 - 599*m1 *m2 *n1 *n2  *n3 *r496

              9   2   9   11   4              9   2   7   17
      + 880*m1 *m2 *n1 *n2  *n3 *r496 + 126*m1 *m2 *n1 *n2  *r496

              9   2   7   15   2              9   2   7   13   4
      - 307*m1 *m2 *n1 *n2  *n3 *r496 - 454*m1 *m2 *n1 *n2  *n3 *r496

             9   2   5   19             9   2   5   17   2
      + 55*m1 *m2 *n1 *n2  *r496 + 21*m1 *m2 *n1 *n2  *n3 *r496

              9   2   5   15   4            9      18   7
      - 444*m1 *m2 *n1 *n2  *n3 *r496 + 4*m1 *m2*n1  *n2 *r483

             9      18   5   2             9      18   3   4
      - 26*m1 *m2*n1  *n2 *n3 *r483 + 28*m1 *m2*n1  *n2 *n3 *r483

             9      16   9             9      16   7   2
      + 16*m1 *m2*n1  *n2 *r483 - 64*m1 *m2*n1  *n2 *n3 *r483

             9      16   5   4             9      14   11
      + 32*m1 *m2*n1  *n2 *n3 *r483 + 20*m1 *m2*n1  *n2  *r483

             9      14   9   2              9      14   7   4
      - 10*m1 *m2*n1  *n2 *n3 *r483 - 100*m1 *m2*n1  *n2 *n3 *r483

             9      12   11   2              9      12   9   4
      + 80*m1 *m2*n1  *n2  *n3 *r483 - 160*m1 *m2*n1  *n2 *n3 *r483

             9      10   15             9      10   13   2
      - 20*m1 *m2*n1  *n2  *r483 + 50*m1 *m2*n1  *n2  *n3 *r483

             9      10   11   4             9      8   17
      + 20*m1 *m2*n1  *n2  *n3 *r483 - 16*m1 *m2*n1 *n2  *r483

             9      8   15   2              9      8   13   4
      - 16*m1 *m2*n1 *n2  *n3 *r483 + 128*m1 *m2*n1 *n2  *n3 *r483

            9      6   19             9      6   17   2
      - 4*m1 *m2*n1 *n2  *r483 - 14*m1 *m2*n1 *n2  *n3 *r483

             9      6   15   4             8   3   20   4
      + 52*m1 *m2*n1 *n2  *n3 *r483 - 13*m1 *m2 *n1  *n2 *r496

             8   3   20   2   2            8   3   20   4
      + 16*m1 *m2 *n1  *n2 *n3 *r496 - 2*m1 *m2 *n1  *n3 *r496

             8   3   18   6              8   3   18   4   2
      - 96*m1 *m2 *n1  *n2 *r496 + 158*m1 *m2 *n1  *n2 *n3 *r496

             8   3   18   2   4             8   3   16   8
      - 70*m1 *m2 *n1  *n2 *n3 *r496 + 13*m1 *m2 *n1  *n2 *r496

              8   3   16   6   2              8   3   16   4   4
      - 489*m1 *m2 *n1  *n2 *n3 *r496 + 462*m1 *m2 *n1  *n2 *n3 *r496

              8   3   14   10              8   3   14   8   2
      + 430*m1 *m2 *n1  *n2  *r496 - 895*m1 *m2 *n1  *n2 *n3 *r496

             8   3   14   6   4              8   3   12   12
      - 40*m1 *m2 *n1  *n2 *n3 *r496 + 225*m1 *m2 *n1  *n2  *r496

               8   3   12   10   2               8   3   12   8   4
      + 1150*m1 *m2 *n1  *n2  *n3 *r496 - 1520*m1 *m2 *n1  *n2 *n3 *r496

              8   3   10   14               8   3   10   12   2
      - 508*m1 *m2 *n1  *n2  *r496 + 1776*m1 *m2 *n1  *n2  *n3 *r496

              8   3   10   10   4              8   3   8   16
      + 618*m1 *m2 *n1  *n2  *n3 *r496 - 421*m1 *m2 *n1 *n2  *r496

              8   3   8   14   2               8   3   8   12   4
      - 317*m1 *m2 *n1 *n2  *n3 *r496 + 2230*m1 *m2 *n1 *n2  *n3 *r496

             8   3   6   18              8   3   6   16   2
      + 78*m1 *m2 *n1 *n2  *r496 - 799*m1 *m2 *n1 *n2  *n3 *r496

             8   3   6   14   4              8   3   4   20
      - 28*m1 *m2 *n1 *n2  *n3 *r496 + 100*m1 *m2 *n1 *n2  *r496

              8   3   4   18   2              8   3   4   16   4
      - 120*m1 *m2 *n1 *n2  *n3 *r496 - 690*m1 *m2 *n1 *n2  *n3 *r496

             8   2   19   6             8   2   19   4   2
      - 18*m1 *m2 *n1  *n2 *r483 + 60*m1 *m2 *n1  *n2 *n3 *r483

             8   2   19   2   4             8   2   17   8
      - 36*m1 *m2 *n1  *n2 *n3 *r483 - 54*m1 *m2 *n1  *n2 *r483

             8   2   17   6   2             8   2   17   4   4
      + 66*m1 *m2 *n1  *n2 *n3 *r483 + 72*m1 *m2 *n1  *n2 *n3 *r483

             8   2   15   10              8   2   15   8   2
      - 18*m1 *m2 *n1  *n2  *r483 - 216*m1 *m2 *n1  *n2 *n3 *r483

              8   2   15   6   4             8   2   13   12
      + 324*m1 *m2 *n1  *n2 *n3 *r483 + 90*m1 *m2 *n1  *n2  *r483

              8   2   13   10   2             8   2   11   14
      - 330*m1 *m2 *n1  *n2  *n3 *r483 + 90*m1 *m2 *n1  *n2  *r483

             8   2   11   12   2              8   2   11   10   4
      + 60*m1 *m2 *n1  *n2  *n3 *r483 - 540*m1 *m2 *n1  *n2  *n3 *r483

             8   2   9   16              8   2   9   14   2
      - 18*m1 *m2 *n1 *n2  *r483 + 270*m1 *m2 *n1 *n2  *n3 *r483

              8   2   9   12   4             8   2   7   18
      - 216*m1 *m2 *n1 *n2  *n3 *r483 - 54*m1 *m2 *n1 *n2  *r483

             8   2   7   16   2              8   2   7   14   4
      + 96*m1 *m2 *n1 *n2  *n3 *r483 + 252*m1 *m2 *n1 *n2  *n3 *r483

             8   2   5   20            8   2   5   18   2
      - 18*m1 *m2 *n1 *n2  *r483 - 6*m1 *m2 *n1 *n2  *n3 *r483

              8   2   5   16   4            7   4   21   3
      + 144*m1 *m2 *n1 *n2  *n3 *r483 + 6*m1 *m2 *n1  *n2 *r496

            7   4   21      2             7   4   19   5
      - 3*m1 *m2 *n1  *n2*n3 *r496 + 95*m1 *m2 *n1  *n2 *r496

              7   4   19   3   2             7   4   19      4
      - 146*m1 *m2 *n1  *n2 *n3 *r496 + 46*m1 *m2 *n1  *n2*n3 *r496

              7   4   17   7              7   4   17   5   2
      - 145*m1 *m2 *n1  *n2 *r496 + 740*m1 *m2 *n1  *n2 *n3 *r496

              7   4   17   3   4              7   4   15   9
      - 550*m1 *m2 *n1  *n2 *n3 *r496 - 615*m1 *m2 *n1  *n2 *r496

              7   4   15   7   2              7   4   15   5   4
      + 584*m1 *m2 *n1  *n2 *n3 *r496 + 614*m1 *m2 *n1  *n2 *n3 *r496

              7   4   13   11               7   4   13   9   2
      + 175*m1 *m2 *n1  *n2  *r496 - 2290*m1 *m2 *n1  *n2 *n3 *r496

               7   4   13   7   4               7   4   11   13
      + 1730*m1 *m2 *n1  *n2 *n3 *r496 + 1051*m1 *m2 *n1  *n2  *r496

              7   4   11   11   2               7   4   11   9   4
      - 788*m1 *m2 *n1  *n2  *n3 *r496 - 1910*m1 *m2 *n1  *n2 *n3 *r496

             7   4   9   15               7   4   9   13   2
      + 45*m1 *m2 *n1 *n2  *r496 + 2884*m1 *m2 *n1 *n2  *n3 *r496

               7   4   9   11   4              7   4   7   17
      - 1394*m1 *m2 *n1 *n2  *n3 *r496 - 685*m1 *m2 *n1 *n2  *r496

               7   4   7   15   2               7   4   7   13   4
      + 1240*m1 *m2 *n1 *n2  *n3 *r496 + 2530*m1 *m2 *n1 *n2  *n3 *r496

              7   4   5   19              7   4   5   17   2
      - 145*m1 *m2 *n1 *n2  *r496 - 691*m1 *m2 *n1 *n2  *n3 *r496

              7   4   5   15   4             7   4   3   21
      + 854*m1 *m2 *n1 *n2  *n3 *r496 + 90*m1 *m2 *n1 *n2  *r496

              7   4   3   19   2              7   4   3   17   4
      - 250*m1 *m2 *n1 *n2  *n3 *r496 - 640*m1 *m2 *n1 *n2  *n3 *r496

             7   3   20   5             7   3   20   3   2
      + 32*m1 *m2 *n1  *n2 *r483 - 64*m1 *m2 *n1  *n2 *n3 *r483

             7   3   20      4             7   3   18   7
      + 20*m1 *m2 *n1  *n2*n3 *r483 + 48*m1 *m2 *n1  *n2 *r483

             7   3   18   5   2              7   3   18   3   4
      + 96*m1 *m2 *n1  *n2 *n3 *r483 - 168*m1 *m2 *n1  *n2 *n3 *r483

              7   3   16   9              7   3   16   7   2
      - 128*m1 *m2 *n1  *n2 *r483 + 568*m1 *m2 *n1  *n2 *n3 *r483

              7   3   16   5   4              7   3   14   11
      - 152*m1 *m2 *n1  *n2 *n3 *r483 - 272*m1 *m2 *n1  *n2  *r483

              7   3   14   9   2              7   3   14   7   4
      + 160*m1 *m2 *n1  *n2 *n3 *r483 + 760*m1 *m2 *n1  *n2 *n3 *r483

              7   3   12   11   2              7   3   12   9   4
      - 840*m1 *m2 *n1  *n2  *n3 *r483 + 720*m1 *m2 *n1  *n2 *n3 *r483

              7   3   10   15              7   3   10   13   2
      + 272*m1 *m2 *n1  *n2  *r483 - 544*m1 *m2 *n1  *n2  *n3 *r483

              7   3   10   11   4              7   3   8   17
      - 760*m1 *m2 *n1  *n2  *n3 *r483 + 128*m1 *m2 *n1 *n2  *r483

              7   3   8   15   2              7   3   8   13   4
      + 296*m1 *m2 *n1 *n2  *n3 *r483 - 808*m1 *m2 *n1 *n2  *n3 *r483

             7   3   6   19              7   3   6   17   2
      - 48*m1 *m2 *n1 *n2  *r483 + 288*m1 *m2 *n1 *n2  *n3 *r483

              7   3   6   15   4             7   3   4   21
      + 168*m1 *m2 *n1 *n2  *n3 *r483 - 32*m1 *m2 *n1 *n2  *r483

             7   3   4   19   2              7   3   4   17   4
      + 40*m1 *m2 *n1 *n2  *n3 *r483 + 220*m1 *m2 *n1 *n2  *n3 *r483

          6   5   22   2             6   5   20   4
      - m1 *m2 *n1  *n2 *r496 - 71*m1 *m2 *n1  *n2 *r496

             6   5   20   2   2             6   5   20   4
      + 77*m1 *m2 *n1  *n2 *n3 *r496 - 10*m1 *m2 *n1  *n3 *r496

              6   5   18   6              6   5   18   4   2
      + 271*m1 *m2 *n1  *n2 *r496 - 787*m1 *m2 *n1  *n2 *n3 *r496

              6   5   18   2   4              6   5   16   8
      + 308*m1 *m2 *n1  *n2 *n3 *r496 + 565*m1 *m2 *n1  *n2 *r496

              6   5   16   6   2               6   5   16   4   4
      + 256*m1 *m2 *n1  *n2 *n3 *r496 - 1250*m1 *m2 *n1  *n2 *n3 *r496

              6   5   14   10               6   5   14   8   2
      - 735*m1 *m2 *n1  *n2  *r496 + 3052*m1 *m2 *n1  *n2 *n3 *r496

              6   5   14   6   4               6   5   12   12
      - 854*m1 *m2 *n1  *n2 *n3 *r496 - 1141*m1 *m2 *n1  *n2  *r496

              6   5   12   10   2               6   5   12   8   4
      - 560*m1 *m2 *n1  *n2  *n3 *r496 + 3430*m1 *m2 *n1  *n2 *n3 *r496

              6   5   10   14               6   5   10   12   2
      + 749*m1 *m2 *n1  *n2  *r496 - 3388*m1 *m2 *n1  *n2  *n3 *r496

              6   5   10   10   4              6   5   8   16
      + 350*m1 *m2 *n1  *n2  *n3 *r496 + 951*m1 *m2 *n1 *n2  *r496

              6   5   8   14   2               6   5   8   12   4
      + 980*m1 *m2 *n1 *n2  *n3 *r496 - 2926*m1 *m2 *n1 *n2  *n3 *r496

              6   5   6   18               6   5   6   16   2
      - 260*m1 *m2 *n1 *n2  *r496 + 2072*m1 *m2 *n1 *n2  *n3 *r496

              6   5   6   14   4              6   5   4   20
      + 998*m1 *m2 *n1 *n2  *n3 *r496 - 240*m1 *m2 *n1 *n2  *r496

             6   5   4   18   2               6   5   4   16   4
      - 17*m1 *m2 *n1 *n2  *n3 *r496 + 1204*m1 *m2 *n1 *n2  *n3 *r496

             6   5   2   22              6   5   2   20   2
      + 40*m1 *m2 *n1 *n2  *r496 - 213*m1 *m2 *n1 *n2  *n3 *r496

              6   5   2   18   4             6   4   21   4
      - 354*m1 *m2 *n1 *n2  *n3 *r496 - 28*m1 *m2 *n1  *n2 *r483

             6   4   21   2   2            6   4   21   4
      + 32*m1 *m2 *n1  *n2 *n3 *r483 - 4*m1 *m2 *n1  *n3 *r483

             6   4   19   6              6   4   19   4   2
      + 28*m1 *m2 *n1  *n2 *r483 - 224*m1 *m2 *n1  *n2 *n3 *r483

              6   4   19   2   4              6   4   17   8
      + 112*m1 *m2 *n1  *n2 *n3 *r483 + 280*m1 *m2 *n1  *n2 *r483

              6   4   17   6   2              6   4   17   4   4
      - 368*m1 *m2 *n1  *n2 *n3 *r483 - 248*m1 *m2 *n1  *n2 *n3 *r483

              6   4   15   10              6   4   15   8   2
      + 168*m1 *m2 *n1  *n2  *r483 + 840*m1 *m2 *n1  *n2 *n3 *r483

              6   4   15   6   4              6   4   13   12
      - 840*m1 *m2 *n1  *n2 *n3 *r483 - 448*m1 *m2 *n1  *n2  *r483

               6   4   13   10   2              6   4   13   8   4
      + 1400*m1 *m2 *n1  *n2  *n3 *r483 + 560*m1 *m2 *n1  *n2 *n3 *r483

              6   4   11   14              6   4   11   12   2
      - 448*m1 *m2 *n1  *n2  *r483 - 448*m1 *m2 *n1  *n2  *n3 *r483

               6   4   11   10   4              6   4   9   16
      + 1736*m1 *m2 *n1  *n2  *n3 *r483 + 168*m1 *m2 *n1 *n2  *r483

               6   4   9   14   2              6   4   9   12   4
      - 1344*m1 *m2 *n1 *n2  *n3 *r483 - 168*m1 *m2 *n1 *n2  *n3 *r483

              6   4   7   18              6   4   7   16   2
      + 280*m1 *m2 *n1 *n2  *r483 - 248*m1 *m2 *n1 *n2  *n3 *r483

               6   4   7   14   4             6   4   5   20
      - 1208*m1 *m2 *n1 *n2  *n3 *r483 + 28*m1 *m2 *n1 *n2  *r483

              6   4   5   18   2              6   4   5   16   4
      + 280*m1 *m2 *n1 *n2  *n3 *r483 - 140*m1 *m2 *n1 *n2  *n3 *r483

             6   4   3   22             6   4   3   20   2
      - 28*m1 *m2 *n1 *n2  *r483 + 80*m1 *m2 *n1 *n2  *n3 *r483

              6   4   3   18   4             5   6   21   3
      + 200*m1 *m2 *n1 *n2  *n3 *r483 + 30*m1 *m2 *n1  *n2 *r496

             5   6   21      2              5   6   19   5
      - 15*m1 *m2 *n1  *n2*n3 *r496 - 265*m1 *m2 *n1  *n2 *r496

              5   6   19   3   2             5   6   19      4
      + 405*m1 *m2 *n1  *n2 *n3 *r496 - 60*m1 *m2 *n1  *n2*n3 *r496

              5   6   17   7               5   6   17   5   2
      - 134*m1 *m2 *n1  *n2 *r496 - 1165*m1 *m2 *n1  *n2 *n3 *r496

              5   6   17   3   4               5   6   15   9
      + 770*m1 *m2 *n1  *n2 *n3 *r496 + 1239*m1 *m2 *n1  *n2 *r496

               5   6   15   7   2               5   6   15   5   4
      - 2222*m1 *m2 *n1  *n2 *n3 *r496 - 1130*m1 *m2 *n1  *n2 *n3 *r496

              5   6   13   11               5   6   13   9   2
      + 707*m1 *m2 *n1  *n2  *r496 + 2856*m1 *m2 *n1  *n2 *n3 *r496

               5   6   13   7   4               5   6   11   13
      - 3234*m1 *m2 *n1  *n2 *n3 *r496 - 1435*m1 *m2 *n1  *n2  *r496

               5   6   11   11   2               5   6   11   9   4
      + 3388*m1 *m2 *n1  *n2  *n3 *r496 + 2254*m1 *m2 *n1  *n2 *n3 *r496

              5   6   9   15               5   6   9   13   2
      - 693*m1 *m2 *n1 *n2  *r496 - 2212*m1 *m2 *n1 *n2  *n3 *r496

               5   6   9   11   4              5   6   7   17
      + 3122*m1 *m2 *n1 *n2  *n3 *r496 + 709*m1 *m2 *n1 *n2  *r496

               5   6   7   15   2               5   6   7   13   4
      - 1506*m1 *m2 *n1 *n2  *n3 *r496 - 1806*m1 *m2 *n1 *n2  *n3 *r496

              5   6   5   19               5   6   5   17   2
      + 211*m1 *m2 *n1 *n2  *r496 + 1007*m1 *m2 *n1 *n2  *n3 *r496

              5   6   5   15   4              5   6   3   21
      - 550*m1 *m2 *n1 *n2  *n3 *r496 - 120*m1 *m2 *n1 *n2  *r496

              5   6   3   19   2              5   6   3   17   4
      + 319*m1 *m2 *n1 *n2  *n3 *r496 + 742*m1 *m2 *n1 *n2  *n3 *r496

            5   6      23             5   6      21   2
      + 7*m1 *m2 *n1*n2  *r496 - 87*m1 *m2 *n1*n2  *n3 *r496

              5   6      19   4             5   5   22   3
      - 108*m1 *m2 *n1*n2  *n3 *r496 + 12*m1 *m2 *n1  *n2 *r483

            5   5   22      2             5   5   20   5
      - 6*m1 *m2 *n1  *n2*n3 *r483 - 72*m1 *m2 *n1  *n2 *r483

              5   5   20   3   2             5   5   20      4
      + 144*m1 *m2 *n1  *n2 *n3 *r483 - 24*m1 *m2 *n1  *n2*n3 *r483

              5   5   18   7              5   5   18   5   2
      - 180*m1 *m2 *n1  *n2 *r483 - 162*m1 *m2 *n1  *n2 *n3 *r483

              5   5   18   3   4              5   5   16   9
      + 252*m1 *m2 *n1  *n2 *n3 *r483 + 240*m1 *m2 *n1  *n2 *r483

               5   5   16   7   2             5   5   16   5   4
      - 1152*m1 *m2 *n1  *n2 *n3 *r483 + 24*m1 *m2 *n1  *n2 *n3 *r483

              5   5   14   11              5   5   14   9   2
      + 672*m1 *m2 *n1  *n2  *r483 - 168*m1 *m2 *n1  *n2 *n3 *r483

               5   5   14   7   4               5   5   12   11   2
      - 1344*m1 *m2 *n1  *n2 *n3 *r483 + 2016*m1 *m2 *n1  *n2  *n3 *r483

              5   5   12   9   4              5   5   10   15
      - 504*m1 *m2 *n1  *n2 *n3 *r483 - 672*m1 *m2 *n1  *n2  *r483

               5   5   10   13   2               5   5   10   11   4
      + 1008*m1 *m2 *n1  *n2  *n3 *r483 + 1848*m1 *m2 *n1  *n2  *n3 *r483

              5   5   8   17               5   5   8   15   2
      - 240*m1 *m2 *n1 *n2  *r483 - 1056*m1 *m2 *n1 *n2  *n3 *r483

              5   5   8   13   4              5   5   6   19
      + 840*m1 *m2 *n1 *n2  *n3 *r483 + 180*m1 *m2 *n1 *n2  *r483

              5   5   6   17   2              5   5   6   15   4
      - 738*m1 *m2 *n1 *n2  *n3 *r483 - 864*m1 *m2 *n1 *n2  *n3 *r483

             5   5   4   21             5   5   4   19   2
      + 72*m1 *m2 *n1 *n2  *r483 + 48*m1 *m2 *n1 *n2  *n3 *r483

              5   5   4   17   4             5   5   2   23
      - 336*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1 *n2  *r483

             5   5   2   21   2              5   5   2   19   4
      + 66*m1 *m2 *n1 *n2  *n3 *r483 + 108*m1 *m2 *n1 *n2  *n3 *r483

            4   7   22   2              4   7   20   4
      - 5*m1 *m2 *n1  *n2 *r496 + 120*m1 *m2 *n1  *n2 *r496

             4   7   20   2   2              4   7   18   6
      - 75*m1 *m2 *n1  *n2 *n3 *r496 - 225*m1 *m2 *n1  *n2 *r496

              4   7   18   4   2              4   7   18   2   4
      + 765*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

              4   7   16   8              4   7   16   6   2
      - 875*m1 *m2 *n1  *n2 *r496 - 250*m1 *m2 *n1  *n2 *n3 *r496

              4   7   16   4   4              4   7   14   10
      + 980*m1 *m2 *n1  *n2 *n3 *r496 + 427*m1 *m2 *n1  *n2  *r496

               4   7   14   8   2             4   7   14   6   4
      - 3764*m1 *m2 *n1  *n2 *n3 *r496 + 10*m1 *m2 *n1  *n2 *n3 *r496

               4   7   12   12              4   7   12   10   2
      + 1701*m1 *m2 *n1  *n2  *r496 - 812*m1 *m2 *n1  *n2  *n3 *r496

               4   7   12   8   4             4   7   10   14
      - 3794*m1 *m2 *n1  *n2 *n3 *r496 + 35*m1 *m2 *n1  *n2  *r496

               4   7   10   12   2              4   7   10   10   4
      + 3916*m1 *m2 *n1  *n2  *n3 *r496 - 734*m1 *m2 *n1  *n2  *n3 *r496

              4   7   8   16               4   7   8   14   2
      - 985*m1 *m2 *n1 *n2  *r496 + 1100*m1 *m2 *n1 *n2  *n3 *r496

               4   7   8   12   4             4   7   6   18
      + 3050*m1 *m2 *n1 *n2  *n3 *r496 - 90*m1 *m2 *n1 *n2  *r496

               4   7   6   16   2              4   7   6   14   4
      - 1240*m1 *m2 *n1 *n2  *n3 *r496 + 230*m1 *m2 *n1 *n2  *n3 *r496

              4   7   4   20              4   7   4   18   2
      + 167*m1 *m2 *n1 *n2  *r496 - 109*m1 *m2 *n1 *n2  *n3 *r496

              4   7   4   16   4             4   7   2   22
      - 670*m1 *m2 *n1 *n2  *n3 *r496 - 14*m1 *m2 *n1 *n2  *r496

              4   7   2   20   2              4   7   2   18   4
      + 163*m1 *m2 *n1 *n2  *n3 *r496 + 196*m1 *m2 *n1 *n2  *n3 *r496

             4   7   22   2             4   7   20   4
      - 14*m1 *m2 *n2  *n3 *r496 - 14*m1 *m2 *n2  *n3 *r496

            4   6   23   2             4   6   21   4
      - 2*m1 *m2 *n1  *n2 *r483 + 42*m1 *m2 *n1  *n2 *r483

             4   6   21   2   2             4   6   19   6
      - 30*m1 *m2 *n1  *n2 *n3 *r483 - 10*m1 *m2 *n1  *n2 *r483

              4   6   19   4   2             4   6   19   2   4
      + 240*m1 *m2 *n1  *n2 *n3 *r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

              4   6   17   8              4   6   17   6   2
      - 350*m1 *m2 *n1  *n2 *r483 + 310*m1 *m2 *n1  *n2 *n3 *r483

              4   6   17   4   4              4   6   15   10
      + 280*m1 *m2 *n1  *n2 *n3 *r483 - 240*m1 *m2 *n1  *n2  *r483

               4   6   15   8   2              4   6   15   6   4
      - 1080*m1 *m2 *n1  *n2 *n3 *r483 + 480*m1 *m2 *n1  *n2 *n3 *r483

              4   6   13   12               4   6   13   10   2
      + 560*m1 *m2 *n1  *n2  *r483 - 1456*m1 *m2 *n1  *n2  *n3 *r483

              4   6   13   8   4              4   6   11   14
      - 952*m1 *m2 *n1  *n2 *n3 *r483 + 560*m1 *m2 *n1  *n2  *r483

              4   6   11   12   2               4   6   11   10   4
      + 896*m1 *m2 *n1  *n2  *n3 *r483 - 1288*m1 *m2 *n1  *n2  *n3 *r483

              4   6   9   16               4   6   9   14   2
      - 240*m1 *m2 *n1 *n2  *r483 + 1680*m1 *m2 *n1 *n2  *n3 *r483

              4   6   9   12   4              4   6   7   18
      + 840*m1 *m2 *n1 *n2  *n3 *r483 - 350*m1 *m2 *n1 *n2  *r483

             4   6   7   16   2               4   6   7   14   4
      + 40*m1 *m2 *n1 *n2  *n3 *r483 + 1120*m1 *m2 *n1 *n2  *n3 *r483

             4   6   5   20              4   6   5   18   2
      - 10*m1 *m2 *n1 *n2  *r483 - 530*m1 *m2 *n1 *n2  *n3 *r483

              4   6   5   16   4             4   6   3   22
      - 200*m1 *m2 *n1 *n2  *n3 *r483 + 42*m1 *m2 *n1 *n2  *r483

             4   6   3   20   2              4   6   3   18   4
      - 96*m1 *m2 *n1 *n2  *n3 *r483 - 252*m1 *m2 *n1 *n2  *n3 *r483

            4   6      24             4   6      22   2
      - 2*m1 *m2 *n1*n2  *r483 + 26*m1 *m2 *n1*n2  *n3 *r483

             4   6      20   4             3   8   21   3
      + 32*m1 *m2 *n1*n2  *n3 *r483 - 20*m1 *m2 *n1  *n2 *r496

              3   8   19   5              3   8   19   3   2
      + 160*m1 *m2 *n1  *n2 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

              3   8   17   7              3   8   17   5   2
      + 120*m1 *m2 *n1  *n2 *r496 + 655*m1 *m2 *n1  *n2 *n3 *r496

              3   8   17   3   4              3   8   15   9
      - 200*m1 *m2 *n1  *n2 *n3 *r496 - 793*m1 *m2 *n1  *n2 *r496

              3   8   15   7   2              3   8   15   5   4
      + 916*m1 *m2 *n1  *n2 *n3 *r496 + 658*m1 *m2 *n1  *n2 *n3 *r496

              3   8   13   11               3   8   13   9   2
      - 691*m1 *m2 *n1  *n2  *r496 - 2332*m1 *m2 *n1  *n2 *n3 *r496

              3   8   13   7   4              3   8   11   13
      + 830*m1 *m2 *n1  *n2 *n3 *r496 + 843*m1 *m2 *n1  *n2  *r496

               3   8   11   11   2               3   8   11   9   4
      - 3004*m1 *m2 *n1  *n2  *n3 *r496 - 2158*m1 *m2 *n1  *n2 *n3 *r496

              3   8   9   15              3   8   9   13   2
      + 865*m1 *m2 *n1 *n2  *r496 + 950*m1 *m2 *n1 *n2  *n3 *r496

               3   8   9   11   4              3   8   7   17
      - 2050*m1 *m2 *n1 *n2  *n3 *r496 - 155*m1 *m2 *n1 *n2  *r496

               3   8   7   15   2               3   8   7   13   4
      + 1780*m1 *m2 *n1 *n2  *n3 *r496 + 1030*m1 *m2 *n1 *n2  *n3 *r496

              3   8   5   19             3   8   5   17   2
      - 213*m1 *m2 *n1 *n2  *r496 + 76*m1 *m2 *n1 *n2  *n3 *r496

              3   8   5   15   4            3   8   3   21
      + 778*m1 *m2 *n1 *n2  *n3 *r496 + 9*m1 *m2 *n1 *n2  *r496

              3   8   3   19   2              3   8   3   17   4
      - 182*m1 *m2 *n1 *n2  *n3 *r496 - 170*m1 *m2 *n1 *n2  *n3 *r496

            3   8      23             3   8      21   2
      + 3*m1 *m2 *n1*n2  *r496 + 11*m1 *m2 *n1*n2  *n3 *r496

            3   8      19   4            3   7   22   3
      + 2*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1  *n2 *r483

             3   7   20   5             3   7   20   3   2
      + 48*m1 *m2 *n1  *n2 *r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

              3   7   18   7              3   7   18   5   2
      + 120*m1 *m2 *n1  *n2 *r483 + 160*m1 *m2 *n1  *n2 *n3 *r483

             3   7   18   3   4              3   7   16   9
      - 80*m1 *m2 *n1  *n2 *n3 *r483 - 160*m1 *m2 *n1  *n2 *r483

              3   7   16   7   2              3   7   16   5   4
      + 620*m1 *m2 *n1  *n2 *n3 *r483 + 140*m1 *m2 *n1  *n2 *n3 *r483

              3   7   14   11              3   7   14   9   2
      - 448*m1 *m2 *n1  *n2  *r483 - 160*m1 *m2 *n1  *n2 *n3 *r483

              3   7   14   7   4               3   7   12   11   2
      + 584*m1 *m2 *n1  *n2 *n3 *r483 - 1344*m1 *m2 *n1  *n2  *n3 *r483

              3   7   12   9   4              3   7   10   15
      - 168*m1 *m2 *n1  *n2 *n3 *r483 + 448*m1 *m2 *n1  *n2  *r483

              3   7   10   13   2               3   7   10   11   4
      - 416*m1 *m2 *n1  *n2  *n3 *r483 - 1016*m1 *m2 *n1  *n2  *n3 *r483

              3   7   8   17              3   7   8   15   2
      + 160*m1 *m2 *n1 *n2  *r483 + 880*m1 *m2 *n1 *n2  *n3 *r483

             3   7   8   13   4              3   7   6   19
      - 80*m1 *m2 *n1 *n2  *n3 *r483 - 120*m1 *m2 *n1 *n2  *r483

              3   7   6   17   2              3   7   6   15   4
      + 480*m1 *m2 *n1 *n2  *n3 *r483 + 600*m1 *m2 *n1 *n2  *n3 *r483

             3   7   4   21              3   7   4   19   2
      - 48*m1 *m2 *n1 *n2  *r483 - 100*m1 *m2 *n1 *n2  *n3 *r483

              3   7   4   17   4            3   7   2   23
      + 104*m1 *m2 *n1 *n2  *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

             3   7   2   21   2             3   7   2   19   4
      - 64*m1 *m2 *n1 *n2  *n3 *r483 - 88*m1 *m2 *n1 *n2  *n3 *r483

            3   7   23   2            3   7   21   4
      + 4*m1 *m2 *n2  *n3 *r483 + 4*m1 *m2 *n2  *n3 *r483

             2   9   20   4             2   9   18   6
      - 30*m1 *m2 *n1  *n2 *r496 + 75*m1 *m2 *n1  *n2 *r496

              2   9   18   4   2              2   9   16   8
      - 150*m1 *m2 *n1  *n2 *n3 *r496 + 251*m1 *m2 *n1  *n2 *r496

              2   9   16   6   2              2   9   16   4   4
      + 207*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

              2   9   14   10              2   9   14   8   2
      - 175*m1 *m2 *n1  *n2  *r496 + 889*m1 *m2 *n1  *n2 *n3 *r496

              2   9   14   6   4              2   9   12   12
      + 196*m1 *m2 *n1  *n2 *n3 *r496 - 645*m1 *m2 *n1  *n2  *r496

              2   9   12   10   2              2   9   12   8   4
      - 400*m1 *m2 *n1  *n2  *n3 *r496 + 650*m1 *m2 *n1  *n2 *n3 *r496

              2   9   10   14               2   9   10   12   2
      - 125*m1 *m2 *n1  *n2  *r496 - 1956*m1 *m2 *n1  *n2  *n3 *r496

              2   9   10   10   4              2   9   8   16
      - 546*m1 *m2 *n1  *n2  *n3 *r496 + 385*m1 *m2 *n1 *n2  *r496

              2   9   8   14   2               2   9   8   12   4
      - 815*m1 *m2 *n1 *n2  *n3 *r496 - 1280*m1 *m2 *n1 *n2  *n3 *r496

              2   9   6   18              2   9   6   16   2
      + 171*m1 *m2 *n1 *n2  *r496 + 497*m1 *m2 *n1 *n2  *n3 *r496

              2   9   6   14   4             2   9   4   20
      - 160*m1 *m2 *n1 *n2  *n3 *r496 - 25*m1 *m2 *n1 *n2  *r496

              2   9   4   18   2              2   9   4   16   4
      + 294*m1 *m2 *n1 *n2  *n3 *r496 + 306*m1 *m2 *n1 *n2  *n3 *r496

             2   9   2   22             2   9   2   18   4
      - 10*m1 *m2 *n1 *n2  *r496 + 30*m1 *m2 *n1 *n2  *n3 *r496

            2   9   22   2            2   9   20   4
      - 6*m1 *m2 *n2  *n3 *r496 - 6*m1 *m2 *n2  *n3 *r496

             2   8   21   4             2   8   19   6
      - 12*m1 *m2 *n1  *n2 *r483 + 12*m1 *m2 *n1  *n2 *r483

             2   8   19   4   2              2   8   17   8
      - 60*m1 *m2 *n1  *n2 *n3 *r483 + 120*m1 *m2 *n1  *n2 *r483

             2   8   17   4   4             2   8   15   10
      - 60*m1 *m2 *n1  *n2 *n3 *r483 + 72*m1 *m2 *n1  *n2  *r483

              2   8   15   8   2              2   8   13   12
      + 396*m1 *m2 *n1  *n2 *n3 *r483 - 192*m1 *m2 *n1  *n2  *r483

              2   8   13   10   2              2   8   13   8   4
      + 336*m1 *m2 *n1  *n2  *n3 *r483 + 312*m1 *m2 *n1  *n2 *n3 *r483

              2   8   11   14              2   8   11   12   2
      - 192*m1 *m2 *n1  *n2  *r483 - 432*m1 *m2 *n1  *n2  *n3 *r483

              2   8   11   10   4             2   8   9   16
      + 168*m1 *m2 *n1  *n2  *n3 *r483 + 72*m1 *m2 *n1 *n2  *r483

              2   8   9   14   2              2   8   9   12   4
      - 540*m1 *m2 *n1 *n2  *n3 *r483 - 360*m1 *m2 *n1 *n2  *n3 *r483

              2   8   7   18             2   8   7   16   2
      + 120*m1 *m2 *n1 *n2  *r483 + 60*m1 *m2 *n1 *n2  *n3 *r483

              2   8   7   14   4             2   8   5   20
      - 240*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2  *r483

              2   8   5   18   2              2   8   5   16   4
      + 216*m1 *m2 *n1 *n2  *n3 *r483 + 120*m1 *m2 *n1 *n2  *n3 *r483

             2   8   3   22             2   8   3   20   2
      - 12*m1 *m2 *n1 *n2  *r483 + 36*m1 *m2 *n1 *n2  *n3 *r483

             2   8   3   18   4             2   8      22   2
      + 72*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1*n2  *n3 *r483

             2   8      20   4                10   19   5
      - 12*m1 *m2 *n1*n2  *n3 *r483 - 20*m1*m2  *n1  *n2 *r496

               10   17   7                10   17   5   2
      - 6*m1*m2  *n1  *n2 *r496 - 75*m1*m2  *n1  *n2 *n3 *r496

                10   15   9                10   15   7   2
      + 99*m1*m2  *n1  *n2 *r496 - 33*m1*m2  *n1  *n2 *n3 *r496

                10   15   5   4                10   13   11
      - 60*m1*m2  *n1  *n2 *n3 *r496 + 56*m1*m2  *n1  *n2  *r496

                 10   13   9   2               10   13   7   4
      + 283*m1*m2  *n1  *n2 *n3 *r496 - 2*m1*m2  *n1  *n2 *n3 *r496

                 10   11   13                 10   11   11   2
      - 175*m1*m2  *n1  *n2  *r496 + 131*m1*m2  *n1  *n2  *n3 *r496

                 10   11   9   4                 10   9   15
      + 200*m1*m2  *n1  *n2 *n3 *r496 - 190*m1*m2  *n1 *n2  *r496

                 10   9   13   2                10   9   11   4
      - 503*m1*m2  *n1 *n2  *n3 *r496 - 14*m1*m2  *n1 *n2  *n3 *r496

                10   7   17                 10   7   15   2
      - 11*m1*m2  *n1 *n2  *r496 - 531*m1*m2  *n1 *n2  *n3 *r496

                 10   7   13   4                10   5   19
      - 348*m1*m2  *n1 *n2  *n3 *r496 + 44*m1*m2  *n1 *n2  *r496

                 10   5   17   2                 10   5   15   4
      - 103*m1*m2  *n1 *n2  *n3 *r496 - 190*m1*m2  *n1 *n2  *n3 *r496

                10   3   21                10   3   19   2
      + 11*m1*m2  *n1 *n2  *r496 + 49*m1*m2  *n1 *n2  *n3 *r496

                10   3   17   4                10      21   2
      + 16*m1*m2  *n1 *n2  *n3 *r496 + 14*m1*m2  *n1*n2  *n3 *r496

                10      19   4               9   20   5
      + 14*m1*m2  *n1*n2  *n3 *r496 - 8*m1*m2 *n1  *n2 *r483

                9   18   7                9   18   5   2
      - 12*m1*m2 *n1  *n2 *r483 - 30*m1*m2 *n1  *n2 *n3 *r483

                9   16   9                9   16   7   2
      + 32*m1*m2 *n1  *n2 *r483 - 48*m1*m2 *n1  *n2 *n3 *r483

                9   16   5   4                9   14   11
      - 24*m1*m2 *n1  *n2 *n3 *r483 + 68*m1*m2 *n1  *n2  *r483

                9   14   9   2                9   14   7   4
      + 86*m1*m2 *n1  *n2 *n3 *r483 - 28*m1*m2 *n1  *n2 *n3 *r483

                 9   12   11   2                9   12   9   4
      + 192*m1*m2 *n1  *n2  *n3 *r483 + 72*m1*m2 *n1  *n2 *n3 *r483

                9   10   15                9   10   13   2
      - 68*m1*m2 *n1  *n2  *r483 + 10*m1*m2 *n1  *n2  *n3 *r483

                 9   10   11   4                9   8   17
      + 100*m1*m2 *n1  *n2  *n3 *r483 - 32*m1*m2 *n1 *n2  *r483

                 9   8   15   2                9   8   13   4
      - 160*m1*m2 *n1 *n2  *n3 *r483 - 40*m1*m2 *n1 *n2  *n3 *r483

                9   6   19                9   6   17   2
      + 12*m1*m2 *n1 *n2  *r483 - 78*m1*m2 *n1 *n2  *n3 *r483

                9   6   15   4               9   4   21
      - 84*m1*m2 *n1 *n2  *n3 *r483 + 8*m1*m2 *n1 *n2  *r483

                9   4   19   2               9   4   17   4
      + 16*m1*m2 *n1 *n2  *n3 *r483 - 8*m1*m2 *n1 *n2  *n3 *r483

                9   2   21   2                9   2   19   4
      + 12*m1*m2 *n1 *n2  *n3 *r483 + 12*m1*m2 *n1 *n2  *n3 *r483

            11   18   6             11   16   8             11   16   6   2
      - 5*m2  *n1  *n2 *r496 - 10*m2  *n1  *n2 *r496 - 15*m2  *n1  *n2 *n3 *r496

            11   14   10             11   14   8   2
      + 5*m2  *n1  *n2  *r496 - 25*m2  *n1  *n2 *n3 *r496

             11   14   6   4             11   12   12
      - 10*m2  *n1  *n2 *n3 *r496 + 16*m2  *n1  *n2  *r496

             11   12   10   2             11   12   8   4
      + 20*m2  *n1  *n2  *n3 *r496 - 10*m2  *n1  *n2 *n3 *r496

             11   10   14             11   10   12   2
      - 11*m2  *n1  *n2  *r496 + 38*m2  *n1  *n2  *n3 *r496

             11   10   10   4             11   8   16
      + 20*m2  *n1  *n2  *n3 *r496 - 34*m2  *n1 *n2  *r496

             11   8   14   2             11   8   12   4
      - 39*m2  *n1 *n2  *n3 *r496 + 12*m2  *n1 *n2  *n3 *r496

             11   6   18             11   6   16   2
      - 21*m2  *n1 *n2  *r496 - 85*m2  *n1 *n2  *n3 *r496

             11   6   14   4            11   4   20
      - 34*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2  *r496

             11   4   18   2             11   4   16   4
      - 46*m2  *n1 *n2  *n3 *r496 - 34*m2  *n1 *n2  *n3 *r496

            11   2   20   2            11   2   18   4
      - 8*m2  *n1 *n2  *n3 *r496 - 8*m2  *n1 *n2  *n3 *r496

            10   19   6            10   17   8            10   17   6   2
      - 2*m2  *n1  *n2 *r483 - 6*m2  *n1  *n2 *r483 - 6*m2  *n1  *n2 *n3 *r483

            10   15   10             10   15   8   2
      - 2*m2  *n1  *n2  *r483 - 16*m2  *n1  *n2 *n3 *r483

            10   15   6   4             10   13   12
      - 4*m2  *n1  *n2 *n3 *r483 + 10*m2  *n1  *n2  *r483

            10   13   10   2            10   13   8   4
      - 2*m2  *n1  *n2  *n3 *r483 - 8*m2  *n1  *n2 *n3 *r483

             10   11   14             10   11   12   2
      + 10*m2  *n1  *n2  *r483 + 28*m2  *n1  *n2  *n3 *r483

            10   11   10   4            10   9   16
      + 4*m2  *n1  *n2  *n3 *r483 - 2*m2  *n1 *n2  *r483

             10   9   14   2             10   9   12   4
      + 22*m2  *n1 *n2  *n3 *r483 + 16*m2  *n1 *n2  *n3 *r483

            10   7   18            10   7   16   2
      - 6*m2  *n1 *n2  *r483 - 8*m2  *n1 *n2  *n3 *r483

            10   7   14   4            10   5   20
      + 4*m2  *n1 *n2  *n3 *r483 - 2*m2  *n1 *n2  *r483

             10   5   18   2            10   5   16   4
      - 14*m2  *n1 *n2  *n3 *r483 - 8*m2  *n1 *n2  *n3 *r483

            10   3   20   2            10   3   18   4
      - 4*m2  *n1 *n2  *n3 *r483 - 4*m2  *n1 *n2  *n3 *r483)/(

           9   18   5   2           9   18   3   4            9   16   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 16*a33*m1 *n1  *n2 *n3

               9   16   5   4            9   14   9   2
    - 32*a33*m1 *n1  *n2 *n3  + 20*a33*m1 *n1  *n2 *n3

               9   14   7   4            9   10   13   2
    - 40*a33*m1 *n1  *n2 *n3  - 20*a33*m1 *n1  *n2  *n3

               9   10   11   4            9   8   15   2
    + 40*a33*m1 *n1  *n2  *n3  - 16*a33*m1 *n1 *n2  *n3

               9   8   13   4           9   6   17   2           9   6   15   4
    + 32*a33*m1 *n1 *n2  *n3  - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2  *n3

              8      19   6            8      19   4   2
    + 4*a33*m1 *m2*n1  *n2  - 24*a33*m1 *m2*n1  *n2 *n3

               8      19   2   4            8      17   8
    + 24*a33*m1 *m2*n1  *n2 *n3  + 20*a33*m1 *m2*n1  *n2

               8      17   6   2            8      17   4   4
    - 84*a33*m1 *m2*n1  *n2 *n3  + 48*a33*m1 *m2*n1  *n2 *n3

               8      15   10            8      15   8   2
    + 36*a33*m1 *m2*n1  *n2   - 72*a33*m1 *m2*n1  *n2 *n3

               8      15   6   4            8      13   12
    - 72*a33*m1 *m2*n1  *n2 *n3  + 20*a33*m1 *m2*n1  *n2

               8      13   10   2             8      13   8   4
    + 60*a33*m1 *m2*n1  *n2  *n3  - 240*a33*m1 *m2*n1  *n2 *n3

               8      11   14             8      11   12   2
    - 20*a33*m1 *m2*n1  *n2   + 120*a33*m1 *m2*n1  *n2  *n3

                8      11   10   4            8      9   16
    - 120*a33*m1 *m2*n1  *n2  *n3  - 36*a33*m1 *m2*n1 *n2

               8      9   14   2             8      9   12   4
    + 36*a33*m1 *m2*n1 *n2  *n3  + 144*a33*m1 *m2*n1 *n2  *n3

               8      7   18            8      7   16   2
    - 20*a33*m1 *m2*n1 *n2   - 24*a33*m1 *m2*n1 *n2  *n3

                8      7   14   4           8      5   20
    + 168*a33*m1 *m2*n1 *n2  *n3  - 4*a33*m1 *m2*n1 *n2

               8      5   18   2            8      5   16   4
    - 12*a33*m1 *m2*n1 *n2  *n3  + 48*a33*m1 *m2*n1 *n2  *n3

               7   2   20   5            7   2   20   3   2
    - 16*a33*m1 *m2 *n1  *n2  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   20      4            7   2   18   7
    - 24*a33*m1 *m2 *n1  *n2*n3  - 64*a33*m1 *m2 *n1  *n2

               7   2   18   5   2            7   2   18   3   4
    + 96*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   16   9             7   2   16   7   2
    - 64*a33*m1 *m2 *n1  *n2  - 144*a33*m1 *m2 *n1  *n2 *n3

                7   2   16   5   4            7   2   14   11
    + 336*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2

                7   2   14   9   2             7   2   14   7   4
    - 480*a33*m1 *m2 *n1  *n2 *n3  + 240*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   13             7   2   12   11   2
    + 160*a33*m1 *m2 *n1  *n2   - 240*a33*m1 *m2 *n1  *n2  *n3

                7   2   12   9   4            7   2   10   15
    - 480*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2

                7   2   10   13   2             7   2   10   11   4
    + 288*a33*m1 *m2 *n1  *n2  *n3  - 624*a33*m1 *m2 *n1  *n2  *n3

               7   2   8   17             7   2   8   15   2
    - 64*a33*m1 *m2 *n1 *n2   + 336*a33*m1 *m2 *n1 *n2  *n3

               7   2   8   13   4            7   2   6   19
    + 48*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2

               7   2   6   17   2             7   2   6   15   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

               7   2   4   21             7   2   4   17   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   21   4            6   3   21   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   21   4            6   3   19   6
    + 8*a33*m1 *m2 *n1  *n3  + 56*a33*m1 *m2 *n1  *n2

               6   3   19   4   2             6   3   19   2   4
    + 56*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

               6   3   17   8             6   3   17   6   2
    - 80*a33*m1 *m2 *n1  *n2  + 544*a33*m1 *m2 *n1  *n2 *n3

                6   3   17   4   4             6   3   15   10
    - 176*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2

                6   3   15   8   2             6   3   15   6   4
    + 560*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                6   3   13   12             6   3   13   10   2
    - 224*a33*m1 *m2 *n1  *n2   - 560*a33*m1 *m2 *n1  *n2  *n3

                 6   3   13   8   4             6   3   11   14
    + 1120*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2

                 6   3   11   12   2             6   3   11   10   4
    - 1120*a33*m1 *m2 *n1  *n2  *n3  - 112*a33*m1 *m2 *n1  *n2  *n3

                6   3   9   16             6   3   9   14   2
    + 336*a33*m1 *m2 *n1 *n2   - 224*a33*m1 *m2 *n1 *n2  *n3

                 6   3   9   12   4            6   3   7   18
    - 1232*a33*m1 *m2 *n1 *n2  *n3  + 80*a33*m1 *m2 *n1 *n2

                6   3   7   16   2             6   3   7   14   4
    + 464*a33*m1 *m2 *n1 *n2  *n3  - 496*a33*m1 *m2 *n1 *n2  *n3

               6   3   5   20             6   3   5   18   2
    - 56*a33*m1 *m2 *n1 *n2   + 280*a33*m1 *m2 *n1 *n2  *n3

                6   3   5   16   4            6   3   3   22
    + 280*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   20   2             6   3   3   18   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   22   3            5   4   22      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   20   5             5   4   20   3   2
    + 16*a33*m1 *m2 *n1  *n2  - 144*a33*m1 *m2 *n1  *n2 *n3

               5   4   20      4             5   4   18   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 240*a33*m1 *m2 *n1  *n2

                5   4   18   5   2             5   4   18   3   4
    - 348*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                5   4   16   9             5   4   16   7   2
    + 320*a33*m1 *m2 *n1  *n2  + 480*a33*m1 *m2 *n1  *n2 *n3

                5   4   16   5   4             5   4   14   11
    - 720*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2

                 5   4   14   9   2             5   4   12   13
    + 1680*a33*m1 *m2 *n1  *n2 *n3  - 672*a33*m1 *m2 *n1  *n2

                5   4   12   11   2              5   4   12   9   4
    + 672*a33*m1 *m2 *n1  *n2  *n3  + 1680*a33*m1 *m2 *n1  *n2 *n3

                5   4   10   15              5   4   10   13   2
    - 224*a33*m1 *m2 *n1  *n2   - 1344*a33*m1 *m2 *n1  *n2  *n3

                 5   4   10   11   4             5   4   8   17
    + 1008*a33*m1 *m2 *n1  *n2  *n3  + 320*a33*m1 *m2 *n1 *n2

                 5   4   8   15   2              5   4   8   13   4
    - 1248*a33*m1 *m2 *n1 *n2  *n3  - 1008*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   19            5   4   6   17   2
    + 240*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   15   4            5   4   4   21
    - 960*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2

                5   4   4   19   2            5   4   2   23
    + 240*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1 *n2

               5   4   2   21   2             5   4   2   19   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

              4   5   23   2            4   5   21   4
    + 4*a33*m1 *m2 *n1  *n2  - 44*a33*m1 *m2 *n1  *n2

               4   5   21   2   2             4   5   19   6
    + 60*a33*m1 *m2 *n1  *n2 *n3  - 140*a33*m1 *m2 *n1  *n2

                4   5   19   4   2             4   5   19   2   4
    - 120*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                4   5   17   8             4   5   17   6   2
    + 100*a33*m1 *m2 *n1  *n2  - 900*a33*m1 *m2 *n1  *n2 *n3

                4   5   15   10             4   5   15   8   2
    + 640*a33*m1 *m2 *n1  *n2   - 720*a33*m1 *m2 *n1  *n2 *n3

                4   5   15   6   4             4   5   13   12
    - 960*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2

                 4   5   13   10   2              4   5   13   8   4
    + 1344*a33*m1 *m2 *n1  *n2  *n3  - 1008*a33*m1 *m2 *n1  *n2 *n3

                4   5   11   14              4   5   11   12   2
    - 448*a33*m1 *m2 *n1  *n2   + 2016*a33*m1 *m2 *n1  *n2  *n3

                 4   5   11   10   4             4   5   9   16
    + 1008*a33*m1 *m2 *n1  *n2  *n3  - 640*a33*m1 *m2 *n1 *n2

                 4   5   9   12   4             4   5   7   18
    + 1680*a33*m1 *m2 *n1 *n2  *n3  - 100*a33*m1 *m2 *n1 *n2

                 4   5   7   16   2             4   5   5   20
    - 1200*a33*m1 *m2 *n1 *n2  *n3  + 140*a33*m1 *m2 *n1 *n2

                4   5   5   18   2             4   5   5   16   4
    - 540*a33*m1 *m2 *n1 *n2  *n3  - 720*a33*m1 *m2 *n1 *n2  *n3

               4   5   3   22            4   5   3   20   2
    + 44*a33*m1 *m2 *n1 *n2   + 24*a33*m1 *m2 *n1 *n2  *n3

                4   5   3   18   4           4   5      24
    - 168*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2

               4   5      22   2            4   5      20   4
    + 36*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

               3   6   22   3            3   6   20   5
    + 16*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2

                3   6   20   3   2             3   6   18   7
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 240*a33*m1 *m2 *n1  *n2

                3   6   18   5   2             3   6   18   3   4
    + 160*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2 *n3

                3   6   16   9             3   6   16   7   2
    - 320*a33*m1 *m2 *n1  *n2  - 680*a33*m1 *m2 *n1  *n2 *n3

                3   6   16   5   4             3   6   14   11
    + 280*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2

                 3   6   14   9   2             3   6   14   7   4
    - 1504*a33*m1 *m2 *n1  *n2 *n3  - 496*a33*m1 *m2 *n1  *n2 *n3

                3   6   12   13             3   6   12   11   2
    + 672*a33*m1 *m2 *n1  *n2   - 224*a33*m1 *m2 *n1  *n2  *n3

                 3   6   12   9   4             3   6   10   15
    - 1232*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2

                 3   6   10   13   2             3   6   10   11   4
    + 1568*a33*m1 *m2 *n1  *n2  *n3  - 112*a33*m1 *m2 *n1  *n2  *n3

                3   6   8   17              3   6   8   15   2
    - 320*a33*m1 *m2 *n1 *n2   + 1120*a33*m1 *m2 *n1 *n2  *n3

                 3   6   8   13   4             3   6   6   19
    + 1120*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2

                3   6   6   17   2             3   6   6   15   4
    - 160*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2  *n3

               3   6   4   21             3   6   4   19   2
    - 16*a33*m1 *m2 *n1 *n2   - 344*a33*m1 *m2 *n1 *n2  *n3

                3   6   4   17   4            3   6   2   23
    - 176*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2

               3   6   2   21   2             3   6   2   19   4
    - 64*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

              3   6   23   2           3   6   21   4            2   7   21   4
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2

               2   7   19   6             2   7   19   4   2
    + 56*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

               2   7   17   8             2   7   17   6   2
    - 80*a33*m1 *m2 *n1  *n2  + 360*a33*m1 *m2 *n1  *n2 *n3

                2   7   17   4   4             2   7   15   10
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2

               2   7   15   8   2             2   7   15   6   4
    + 48*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                2   7   13   12             2   7   13   10   2
    - 224*a33*m1 *m2 *n1  *n2   - 864*a33*m1 *m2 *n1  *n2  *n3

               2   7   13   8   4             2   7   11   14
    + 48*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2

                2   7   11   12   2             2   7   11   10   4
    - 864*a33*m1 *m2 *n1  *n2  *n3  - 624*a33*m1 *m2 *n1  *n2  *n3

                2   7   9   16             2   7   9   14   2
    + 336*a33*m1 *m2 *n1 *n2   + 240*a33*m1 *m2 *n1 *n2  *n3

                2   7   9   12   4            2   7   7   18
    - 480*a33*m1 *m2 *n1 *n2  *n3  + 80*a33*m1 *m2 *n1 *n2

                2   7   7   16   2             2   7   7   14   4
    + 720*a33*m1 *m2 *n1 *n2  *n3  + 240*a33*m1 *m2 *n1 *n2  *n3

               2   7   5   20             2   7   5   18   2
    - 56*a33*m1 *m2 *n1 *n2   + 288*a33*m1 *m2 *n1 *n2  *n3

                2   7   5   16   4            2   7   3   22
    + 336*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   7   3   20   2            2   7   3   18   4
    - 24*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

               2   7      22   2            2   7      20   4
    - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  8   20   5               8   18   7
    + 16*a33*m1*m2 *n1  *n2  + 64*a33*m1*m2 *n1  *n2

                  8   18   5   2               8   16   9
    + 60*a33*m1*m2 *n1  *n2 *n3  + 64*a33*m1*m2 *n1  *n2

                   8   16   7   2               8   16   5   4
    + 240*a33*m1*m2 *n1  *n2 *n3  + 48*a33*m1*m2 *n1  *n2 *n3

                  8   14   11                8   14   9   2
    - 64*a33*m1*m2 *n1  *n2   + 276*a33*m1*m2 *n1  *n2 *n3

                   8   14   7   4                8   12   13
    + 168*a33*m1*m2 *n1  *n2 *n3  - 160*a33*m1*m2 *n1  *n2

                  8   12   11   2                8   12   9   4
    - 96*a33*m1*m2 *n1  *n2  *n3  + 144*a33*m1*m2 *n1  *n2 *n3

                  8   10   15                8   10   13   2
    - 64*a33*m1*m2 *n1  *n2   - 420*a33*m1*m2 *n1  *n2  *n3

                   8   10   11   4               8   8   17
    - 120*a33*m1*m2 *n1  *n2  *n3  + 64*a33*m1*m2 *n1 *n2

                   8   8   15   2                8   8   13   4
    - 240*a33*m1*m2 *n1 *n2  *n3  - 240*a33*m1*m2 *n1 *n2  *n3

                  8   6   19               8   6   17   2
    + 64*a33*m1*m2 *n1 *n2   + 60*a33*m1*m2 *n1 *n2  *n3

                  8   6   15   4               8   4   21
    - 72*a33*m1*m2 *n1 *n2  *n3  + 16*a33*m1*m2 *n1 *n2

                  8   4   19   2               8   4   17   4
    + 96*a33*m1*m2 *n1 *n2  *n3  + 48*a33*m1*m2 *n1 *n2  *n3

                  8   2   21   2               8   2   19   4
    + 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

              9   19   6            9   17   8            9   17   6   2
    + 4*a33*m2 *n1  *n2  + 20*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2 *n3

               9   15   10            9   15   8   2           9   15   6   4
    + 36*a33*m2 *n1  *n2   + 56*a33*m2 *n1  *n2 *n3  + 8*a33*m2 *n1  *n2 *n3

               9   13   12            9   13   10   2            9   13   8   4
    + 20*a33*m2 *n1  *n2   + 92*a33*m2 *n1  *n2  *n3  + 32*a33*m2 *n1  *n2 *n3

               9   11   14            9   11   12   2            9   11   10   4
    - 20*a33*m2 *n1  *n2   + 40*a33*m2 *n1  *n2  *n3  + 40*a33*m2 *n1  *n2  *n3

               9   9   16            9   9   14   2            9   7   18
    - 36*a33*m2 *n1 *n2   - 60*a33*m2 *n1 *n2  *n3  - 20*a33*m2 *n1 *n2

               9   7   16   2            9   7   14   4           9   5   20
    - 88*a33*m2 *n1 *n2  *n3  - 40*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2

               9   5   18   2            9   5   16   4           9   3   20   2
    - 44*a33*m2 *n1 *n2  *n3  - 32*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   18   4
    - 8*a33*m2 *n1 *n2  *n3 )


            2                           2                     2
r32=( - 2*m1 *n1*n2*n3*r496 + 2*m1*m2*n1 *n3*r496 - 2*m1*m2*n2 *n3*r496

             3                   2               2
      + m1*n1 *n3*r483 + m1*n1*n2 *n3*r483 + 2*m2 *n1*n2*n3*r496

             2                   3                 4           2   2         4
      + m2*n1 *n2*n3*r483 + m2*n2 *n3*r483)/(a33*n1  + 2*a33*n1 *n2  + a33*n2 )


            2   3   2            2      4                  4
r33=( - 4*m1 *n1 *n2 *r496 - 4*m1 *n1*n2 *r496 + 6*m1*m2*n1 *n2*r496

                  2   3                  5               5
      + 4*m1*m2*n1 *n2 *r496 - 2*m1*m2*n2 *r496 + 2*m1*n1 *n2*r483

               3   3                  5            2   5
      + 4*m1*n1 *n2 *r483 + 2*m1*n1*n2 *r483 - 2*m2 *n1 *r496

            2      4             6             4   2             2   4
      + 2*m2 *n1*n2 *r496 - m2*n1 *r483 - m2*n1 *n2 *r483 + m2*n1 *n2 *r483

             6                6           4   2           2   4           6
      + m2*n2 *r483)/(2*a33*n1  + 6*a33*n1 *n2  + 6*a33*n1 *n2  + 2*a33*n2 )


             2   12   18   5   2             2   12   18   3   4
r34=( - 4*a33 *m1  *n1  *n2 *n3 *r214 + 8*a33 *m1  *n1  *n2 *n3 *r214

              2   12   16   7   2              2   12   16   5   4
      - 24*a33 *m1  *n1  *n2 *n3 *r214 + 48*a33 *m1  *n1  *n2 *n3 *r214

              2   12   14   9   2               2   12   14   7   4
      - 60*a33 *m1  *n1  *n2 *n3 *r214 + 120*a33 *m1  *n1  *n2 *n3 *r214

              2   12   12   11   2               2   12   12   9   4
      - 80*a33 *m1  *n1  *n2  *n3 *r214 + 160*a33 *m1  *n1  *n2 *n3 *r214

              2   12   10   13   2               2   12   10   11   4
      - 60*a33 *m1  *n1  *n2  *n3 *r214 + 120*a33 *m1  *n1  *n2  *n3 *r214

              2   12   8   15   2              2   12   8   13   4
      - 24*a33 *m1  *n1 *n2  *n3 *r214 + 48*a33 *m1  *n1 *n2  *n3 *r214

             2   12   6   17   2             2   12   6   15   4
      - 4*a33 *m1  *n1 *n2  *n3 *r214 + 8*a33 *m1  *n1 *n2  *n3 *r214

             2   11      19   6              2   11      19   4   2
      - 4*a33 *m1  *m2*n1  *n2 *r214 + 24*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   11      19   2   4              2   11      17   8
      - 24*a33 *m1  *m2*n1  *n2 *n3 *r214 - 28*a33 *m1  *m2*n1  *n2 *r214

               2   11      17   6   2              2   11      17   4   4
      + 132*a33 *m1  *m2*n1  *n2 *n3 *r214 - 96*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   11      15   10               2   11      15   8   2
      - 84*a33 *m1  *m2*n1  *n2  *r214 + 288*a33 *m1  *m2*n1  *n2 *n3 *r214

              2   11      15   6   4               2   11      13   12
      - 72*a33 *m1  *m2*n1  *n2 *n3 *r214 - 140*a33 *m1  *m2*n1  *n2  *r214

               2   11      13   10   2               2   11      13   8   4
      + 300*a33 *m1  *m2*n1  *n2  *n3 *r214 + 240*a33 *m1  *m2*n1  *n2 *n3 *r214

               2   11      11   14               2   11      11   12   2
      - 140*a33 *m1  *m2*n1  *n2  *r214 + 120*a33 *m1  *m2*n1  *n2  *n3 *r214

               2   11      11   10   4              2   11      9   16
      + 600*a33 *m1  *m2*n1  *n2  *n3 *r214 - 84*a33 *m1  *m2*n1 *n2  *r214

              2   11      9   14   2               2   11      9   12   4
      - 36*a33 *m1  *m2*n1 *n2  *n3 *r214 + 576*a33 *m1  *m2*n1 *n2  *n3 *r214

              2   11      7   18              2   11      7   16   2
      - 28*a33 *m1  *m2*n1 *n2  *r214 - 48*a33 *m1  *m2*n1 *n2  *n3 *r214

               2   11      7   14   4             2   11      5   20
      + 264*a33 *m1  *m2*n1 *n2  *n3 *r214 - 4*a33 *m1  *m2*n1 *n2  *r214

              2   11      5   18   2              2   11      5   16   4
      - 12*a33 *m1  *m2*n1 *n2  *n3 *r214 + 48*a33 *m1  *m2*n1 *n2  *n3 *r214

             2   11   20   4   2             2   11   20   2   4
      - 2*a33 *m1  *n1  *n2 *n3 *r216 + 4*a33 *m1  *n1  *n2 *n3 *r216

              2   11   18   6   2              2   11   18   4   4
      - 14*a33 *m1  *n1  *n2 *n3 *r216 + 28*a33 *m1  *n1  *n2 *n3 *r216

              2   11   16   8   2              2   11   16   6   4
      - 42*a33 *m1  *n1  *n2 *n3 *r216 + 84*a33 *m1  *n1  *n2 *n3 *r216

              2   11   14   10   2               2   11   14   8   4
      - 70*a33 *m1  *n1  *n2  *n3 *r216 + 140*a33 *m1  *n1  *n2 *n3 *r216

              2   11   12   12   2               2   11   12   10   4
      - 70*a33 *m1  *n1  *n2  *n3 *r216 + 140*a33 *m1  *n1  *n2  *n3 *r216

              2   11   10   14   2              2   11   10   12   4
      - 42*a33 *m1  *n1  *n2  *n3 *r216 + 84*a33 *m1  *n1  *n2  *n3 *r216

              2   11   8   16   2              2   11   8   14   4
      - 14*a33 *m1  *n1 *n2  *n3 *r216 + 28*a33 *m1  *n1 *n2  *n3 *r216

             2   11   6   18   2             2   11   6   16   4
      - 2*a33 *m1  *n1 *n2  *n3 *r216 + 4*a33 *m1  *n1 *n2  *n3 *r216

              2   10   2   20   5              2   10   2   20   3   2
      + 16*a33 *m1  *m2 *n1  *n2 *r214 - 48*a33 *m1  *m2 *n1  *n2 *n3 *r214

              2   10   2   20      4              2   10   2   18   7
      + 24*a33 *m1  *m2 *n1  *n2*n3 *r214 + 96*a33 *m1  *m2 *n1  *n2 *r214

               2   10   2   18   5   2             2   10   2   18   3   4
      - 196*a33 *m1  *m2 *n1  *n2 *n3 *r214 + 8*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   10   2   16   9               2   10   2   16   7   2
      + 224*a33 *m1  *m2 *n1  *n2 *r214 - 168*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   10   2   16   5   4               2   10   2   14   11
      - 336*a33 *m1  *m2 *n1  *n2 *n3 *r214 + 224*a33 *m1  *m2 *n1  *n2  *r214

               2   10   2   14   9   2
      + 420*a33 *m1  *m2 *n1  *n2 *n3 *r214

               2   10   2   14   7   4
      - 840*a33 *m1  *m2 *n1  *n2 *n3 *r214

                2   10   2   12   11   2
      + 1120*a33 *m1  *m2 *n1  *n2  *n3 *r214

               2   10   2   12   9   4               2   10   2   10   15
      - 560*a33 *m1  *m2 *n1  *n2 *n3 *r214 - 224*a33 *m1  *m2 *n1  *n2  *r214

                2   10   2   10   13   2
      + 1092*a33 *m1  *m2 *n1  *n2  *n3 *r214

               2   10   2   10   11   4               2   10   2   8   17
      + 504*a33 *m1  *m2 *n1  *n2  *n3 *r214 - 224*a33 *m1  *m2 *n1 *n2  *r214

               2   10   2   8   15   2
      + 504*a33 *m1  *m2 *n1 *n2  *n3 *r214

                2   10   2   8   13   4              2   10   2   6   19
      + 1008*a33 *m1  *m2 *n1 *n2  *n3 *r214 - 96*a33 *m1  *m2 *n1 *n2  *r214

              2   10   2   6   17   2               2   10   2   6   15   4
      + 92*a33 *m1  *m2 *n1 *n2  *n3 *r214 + 584*a33 *m1  *m2 *n1 *n2  *n3 *r214

              2   10   2   4   21               2   10   2   4   17   4
      - 16*a33 *m1  *m2 *n1 *n2  *r214 + 120*a33 *m1  *m2 *n1 *n2  *n3 *r214

             2   10      21   5              2   10      21   3   2
      - 2*a33 *m1  *m2*n1  *n2 *r216 + 10*a33 *m1  *m2*n1  *n2 *n3 *r216

             2   10      21      4              2   10      19   7
      - 8*a33 *m1  *m2*n1  *n2*n3 *r216 - 16*a33 *m1  *m2*n1  *n2 *r216

              2   10      19   5   2              2   10      19   3   4
      + 64*a33 *m1  *m2*n1  *n2 *n3 *r216 - 32*a33 *m1  *m2*n1  *n2 *n3 *r216

              2   10      17   9               2   10      17   7   2
      - 56*a33 *m1  *m2*n1  *n2 *r216 + 168*a33 *m1  *m2*n1  *n2 *n3 *r216

               2   10      15   11               2   10      15   9   2
      - 112*a33 *m1  *m2*n1  *n2  *r216 + 224*a33 *m1  *m2*n1  *n2 *n3 *r216

               2   10      15   7   4               2   10      13   13
      + 224*a33 *m1  *m2*n1  *n2 *n3 *r216 - 140*a33 *m1  *m2*n1  *n2  *r216

               2   10      13   11   2               2   10      13   9   4
      + 140*a33 *m1  *m2*n1  *n2  *n3 *r216 + 560*a33 *m1  *m2*n1  *n2 *n3 *r216

               2   10      11   15               2   10      11   11   4
      - 112*a33 *m1  *m2*n1  *n2  *r216 + 672*a33 *m1  *m2*n1  *n2  *n3 *r216

              2   10      9   17              2   10      9   15   2
      - 56*a33 *m1  *m2*n1 *n2  *r216 - 56*a33 *m1  *m2*n1 *n2  *n3 *r216

               2   10      9   13   4              2   10      7   19
      + 448*a33 *m1  *m2*n1 *n2  *n3 *r216 - 16*a33 *m1  *m2*n1 *n2  *r216

              2   10      7   17   2               2   10      7   15   4
      - 32*a33 *m1  *m2*n1 *n2  *n3 *r216 + 160*a33 *m1  *m2*n1 *n2  *n3 *r216

             2   10      5   21             2   10      5   19   2
      - 2*a33 *m1  *m2*n1 *n2  *r216 - 6*a33 *m1  *m2*n1 *n2  *n3 *r216

              2   10      5   17   4              2   9   3   21   4
      + 24*a33 *m1  *m2*n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1  *n2 *r214

              2   9   3   21   2   2             2   9   3   21   4
      + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1  *n3 *r214

               2   9   3   19   6              2   9   3   19   4   2
      - 108*a33 *m1 *m2 *n1  *n2 *r214 + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   3   19   2   4               2   9   3   17   8
      + 72*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 108*a33 *m1 *m2 *n1  *n2 *r214

               2   9   3   17   6   2               2   9   3   17   4   4
      - 444*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 288*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   3   15   10                2   9   3   15   8   2
      + 252*a33 *m1 *m2 *n1  *n2  *r214 - 1392*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   9   3   15   6   4               2   9   3   13   12
      - 72*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 756*a33 *m1 *m2 *n1  *n2  *r214

                2   9   3   13   10   2
      - 1380*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   9   3   13   8   4               2   9   3   11   14
      - 1440*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 756*a33 *m1 *m2 *n1  *n2  *r214

               2   9   3   11   12   2
      + 120*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   9   3   11   10   4               2   9   3   9   16
      - 2088*a33 *m1 *m2 *n1  *n2  *n3 *r214 + 252*a33 *m1 *m2 *n1 *n2  *r214

                2   9   3   9   14   2               2   9   3   9   12   4
      + 1308*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 768*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   3   7   18                2   9   3   7   16   2
      - 108*a33 *m1 *m2 *n1 *n2  *r214 + 1056*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   3   7   14   4               2   9   3   5   20
      + 648*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 108*a33 *m1 *m2 *n1 *n2  *r214

               2   9   3   5   18   2               2   9   3   5   16   4
      + 348*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 648*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   9   3   3   22              2   9   3   3   20   2
      - 24*a33 *m1 *m2 *n1 *n2  *r214 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   9   3   3   18   4             2   9   2   22   4
      + 160*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *r216

              2   9   2   22   2   2             2   9   2   22   4
      - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

              2   9   2   20   6              2   9   2   20   4   2
      + 40*a33 *m1 *m2 *n1  *n2 *r216 - 58*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   9   2   20   2   4               2   9   2   18   8
      - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 104*a33 *m1 *m2 *n1  *n2 *r216

              2   9   2   18   6   2               2   9   2   18   4   4
      - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 164*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   9   2   16   10               2   9   2   16   8   2
      + 112*a33 *m1 *m2 *n1  *n2  *r216 + 350*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   9   2   16   6   4              2   9   2   14   12
      - 364*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 28*a33 *m1 *m2 *n1  *n2  *r216

               2   9   2   14   10   2               2   9   2   14   8   4
      + 910*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 140*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   9   2   12   14                2   9   2   12   12   2
      - 224*a33 *m1 *m2 *n1  *n2  *r216 + 1106*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   9   2   12   10   4               2   9   2   10   16
      + 644*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 280*a33 *m1 *m2 *n1  *n2  *r216

               2   9   2   10   14   2
      + 742*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   9   2   10   12   4               2   9   2   8   18
      + 1204*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 176*a33 *m1 *m2 *n1 *n2  *r216

               2   9   2   8   16   2               2   9   2   8   14   4
      + 266*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 956*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   9   2   6   20              2   9   2   6   18   2
      - 58*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   9   2   6   16   4             2   9   2   4   22
      + 376*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

              2   9   2   4   18   4              2   8   4   22   3
      + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

              2   8   4   22      2              2   8   4   20   5
      - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 32*a33 *m1 *m2 *n1  *n2 *r214

              2   8   4   20   3   2              2   8   4   20      4
      + 72*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   8   4   18   7               2   8   4   18   5   2
      - 144*a33 *m1 *m2 *n1  *n2 *r214 + 420*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   4   18   3   4               2   8   4   16   9
      + 72*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 576*a33 *m1 *m2 *n1  *n2 *r214

               2   8   4   16   7   2               2   8   4   16   5   4
      + 336*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 576*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   4   14   11                2   8   4   14   9   2
      - 672*a33 *m1 *m2 *n1  *n2  *r214 - 1200*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   4   14   7   4
      + 720*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   8   4   12   11   2
      - 2832*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   8   4   12   9   4               2   8   4   10   15
      - 720*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 672*a33 *m1 *m2 *n1  *n2  *r214

                2   8   4   10   13   2
      - 2208*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   8   4   10   11   4               2   8   4   8   17
      - 2304*a33 *m1 *m2 *n1  *n2  *n3 *r214 + 576*a33 *m1 *m2 *n1 *n2  *r214

               2   8   4   8   15   2                2   8   4   8   13   4
      - 240*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 1728*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   4   6   19               2   8   4   6   17   2
      + 144*a33 *m1 *m2 *n1 *n2  *r214 + 636*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   4   6   15   4              2   8   4   4   21
      - 144*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2  *r214

               2   8   4   4   19   2               2   8   4   4   17   4
      + 360*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 360*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   8   4   2   23              2   8   4   2   21   2
      - 16*a33 *m1 *m2 *n1 *n2  *r214 + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   8   4   2   19   4             2   8   3   23   3
      + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 6*a33 *m1 *m2 *n1  *n2 *r216

             2   8   3   23      2              2   8   3   21   5
      + 6*a33 *m1 *m2 *n1  *n2*n3 *r216 - 26*a33 *m1 *m2 *n1  *n2 *r216

              2   8   3   21   3   2              2   8   3   21      4
      - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2*n3 *r216

             2   8   3   19   7               2   8   3   19   5   2
      - 4*a33 *m1 *m2 *n1  *n2 *r216 - 212*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   3   19   3   4               2   8   3   17   9
      + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 184*a33 *m1 *m2 *n1  *n2 *r216

               2   8   3   17   7   2               2   8   3   17   5   4
      - 568*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 256*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   3   15   11               2   8   3   15   9   2
      + 476*a33 *m1 *m2 *n1  *n2  *r216 - 476*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   3   15   7   4               2   8   3   13   13
      - 896*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 532*a33 *m1 *m2 *n1  *n2  *r216

               2   8   3   13   11   2
      + 476*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   8   3   13   9   4               2   8   3   11   15
      - 1120*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 224*a33 *m1 *m2 *n1  *n2  *r216

                2   8   3   11   13   2
      + 1456*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   8   3   11   11   4               2   8   3   9   17
      - 224*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 104*a33 *m1 *m2 *n1 *n2  *r216

                2   8   3   9   15   2               2   8   3   9   13   4
      + 1448*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 896*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   8   3   7   19               2   8   3   7   17   2
      - 166*a33 *m1 *m2 *n1 *n2  *r216 + 742*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   8   3   7   15   4              2   8   3   5   21
      + 1024*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 74*a33 *m1 *m2 *n1 *n2  *r216

               2   8   3   5   19   2               2   8   3   5   17   4
      + 194*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 464*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   8   3   3   23              2   8   3   3   21   2
      - 12*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   8   3   3   19   4             2   7   5   23   2
      + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

              2   7   5   21   4              2   7   5   21   2   2
      + 12*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

             2   7   5   21   4               2   7   5   19   6
      - 8*a33 *m1 *m2 *n1  *n3 *r214 + 116*a33 *m1 *m2 *n1  *n2 *r214

              2   7   5   19   4   2              2   7   5   19   2   4
      + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   5   17   8               2   7   5   17   6   2
      + 180*a33 *m1 *m2 *n1  *n2 *r214 + 444*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   5   17   4   4               2   7   5   15   10
      + 144*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1  *n2  *r214

               2   7   5   15   8   2               2   7   5   15   6   4
      + 960*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 720*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   5   13   12               2   7   5   13   10   2
      - 672*a33 *m1 *m2 *n1  *n2  *r214 + 336*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   7   5   13   8   4               2   7   5   11   14
      + 1008*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 672*a33 *m1 *m2 *n1  *n2  *r214

                2   7   5   11   12   2               2   7   5   9   16
      - 1344*a33 *m1 *m2 *n1  *n2  *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2  *r214

                2   7   5   9   14   2
      - 2016*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   5   9   12   4               2   7   5   7   18
      - 1344*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 180*a33 *m1 *m2 *n1 *n2  *r214

                2   7   5   7   16   2
      - 1056*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   5   7   14   4               2   7   5   5   20
      - 1296*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 116*a33 *m1 *m2 *n1 *n2  *r214

              2   7   5   5   18   2               2   7   5   5   16   4
      - 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   5   3   22               2   7   5   3   20   2
      + 12*a33 *m1 *m2 *n1 *n2  *r214 + 136*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   5   3   18   4             2   7   5      24
      + 88*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

              2   7   5      22   2              2   7   5      20   4
      + 36*a33 *m1 *m2 *n1*n2  *n3 *r214 + 48*a33 *m1 *m2 *n1*n2  *n3 *r214

             2   7   4   24   2             2   7   4   22   4
      + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1  *n2 *r216

              2   7   4   22   2   2             2   7   4   22   4
      + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

              2   7   4   20   6              2   7   4   20   4   2
      - 60*a33 *m1 *m2 *n1  *n2 *r216 + 34*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   4   20   2   4               2   7   4   18   8
      + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 176*a33 *m1 *m2 *n1  *n2 *r216

               2   7   4   18   6   2              2   7   4   18   4   4
      - 190*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 68*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   4   16   10               2   7   4   16   8   2
      - 148*a33 *m1 *m2 *n1  *n2  *r216 - 908*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   4   16   6   4               2   7   4   14   12
      - 248*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 196*a33 *m1 *m2 *n1  *n2  *r216

                2   7   4   14   10   2
      - 1540*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   7   4   14   8   4               2   7   4   12   14
      - 1120*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 560*a33 *m1 *m2 *n1  *n2  *r216

                2   7   4   12   12   2
      - 1064*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   7   4   12   10   4               2   7   4   10   16
      - 1736*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 520*a33 *m1 *m2 *n1  *n2  *r216

               2   7   4   10   14   2
      + 224*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   7   4   10   12   4               2   7   4   8   18
      - 1120*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 194*a33 *m1 *m2 *n1 *n2  *r216

               2   7   4   8   16   2              2   7   4   8   14   4
      + 940*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 88*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   4   6   20               2   7   4   6   18   2
      - 18*a33 *m1 *m2 *n1 *n2  *r216 + 692*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   4   6   16   4              2   7   4   4   22
      + 572*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 36*a33 *m1 *m2 *n1 *n2  *r216

               2   7   4   4   20   2               2   7   4   4   18   4
      + 230*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 320*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   7   4   2   24              2   7   4   2   22   2
      - 8*a33 *m1 *m2 *n1 *n2  *r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   7   4   2   20   4              2   6   6   22      2
      + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   6   6   20      4               2   6   6   18   5   2
      - 48*a33 *m1 *m2 *n1  *n2*n3 *r214 + 212*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   6   18   3   4               2   6   6   16   7   2
      - 88*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 600*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   6   16   5   4               2   6   6   14   9   2
      + 360*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 624*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   6   14   7   4
      + 1296*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   6   12   9   4
      + 1344*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   6   10   13   2               2   6   6   8   15   2
      - 672*a33 *m1 *m2 *n1  *n2  *n3 *r214 - 768*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   6   8   13   4               2   6   6   6   17   2
      - 1008*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 420*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   6   6   15   4              2   6   6   4   19   2
      - 720*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 96*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   6   4   17   4              2   6   6   2   21   2
      - 144*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   6   6   2   19   4             2   6   6   23   2
      + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

             2   6   6   21   4             2   6   5   23   3
      + 8*a33 *m1 *m2 *n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

             2   6   5   23      2             2   6   5   21   5
      + 6*a33 *m1 *m2 *n1  *n2*n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r216

              2   6   5   21   3   2              2   6   5   21      4
      + 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   6   5   19   7              2   6   5   19   5   2
      - 28*a33 *m1 *m2 *n1  *n2 *r216 + 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   5   19   3   4               2   6   5   17   9
      + 128*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 130*a33 *m1 *m2 *n1  *n2 *r216

               2   6   5   17   7   2               2   6   5   17   5   4
      - 206*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 184*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   5   15   11               2   6   5   15   9   2
      - 212*a33 *m1 *m2 *n1  *n2  *r216 - 892*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   5   15   7   4               2   6   5   13   13
      - 256*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 112*a33 *m1 *m2 *n1  *n2  *r216

                2   6   5   13   11   2
      - 1568*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   5   13   9   4               2   6   5   11   15
      - 1232*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 112*a33 *m1 *m2 *n1  *n2  *r216

                2   6   5   11   13   2
      - 1456*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   6   5   11   11   4               2   6   5   9   17
      - 1792*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 212*a33 *m1 *m2 *n1 *n2  *r216

               2   6   5   9   15   2                2   6   5   9   13   4
      - 596*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1232*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   5   7   19               2   6   5   7   17   2
      + 130*a33 *m1 *m2 *n1 *n2  *r216 + 134*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   5   7   15   4              2   6   5   5   21
      - 256*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 28*a33 *m1 *m2 *n1 *n2  *r216

               2   6   5   5   19   2               2   6   5   5   17   4
      + 268*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 184*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   6   5   3   23               2   6   5   3   21   2
      - 4*a33 *m1 *m2 *n1 *n2  *r216 + 116*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   5   3   19   4             2   6   5      25
      + 128*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *r216

              2   6   5      23   2              2   6   5      21   4
      + 18*a33 *m1 *m2 *n1*n2  *n3 *r216 + 24*a33 *m1 *m2 *n1*n2  *n3 *r216

             2   5   7   23   2              2   5   7   21   4
      - 4*a33 *m1 *m2 *n1  *n2 *r214 + 12*a33 *m1 *m2 *n1  *n2 *r214

              2   5   7   21   2   2               2   5   7   19   6
      - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 116*a33 *m1 *m2 *n1  *n2 *r214

               2   5   7   19   4   2               2   5   7   19   2   4
      - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   7   17   8               2   5   7   17   6   2
      + 180*a33 *m1 *m2 *n1  *n2 *r214 + 420*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   7   17   4   4               2   5   7   15   10
      - 360*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1  *n2  *r214

                2   5   7   15   8   2               2   5   7   15   6   4
      + 1632*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 144*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   7   13   12                2   5   7   13   10   2
      - 672*a33 *m1 *m2 *n1  *n2  *r214 + 1824*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   5   7   13   8   4               2   5   7   11   14
      + 1728*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 672*a33 *m1 *m2 *n1  *n2  *r214

               2   5   7   11   12   2
      + 192*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   5   7   11   10   4               2   5   7   9   16
      + 2304*a33 *m1 *m2 *n1  *n2  *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2  *r214

                2   5   7   9   14   2               2   5   7   9   12   4
      - 1200*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 720*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   7   7   18               2   5   7   7   16   2
      + 180*a33 *m1 *m2 *n1 *n2  *r214 - 960*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   7   7   14   4               2   5   7   5   20
      - 720*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 116*a33 *m1 *m2 *n1 *n2  *r214

               2   5   7   5   18   2               2   5   7   5   16   4
      - 228*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 576*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   7   3   22              2   5   7   3   20   2
      + 12*a33 *m1 *m2 *n1 *n2  *r214 + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   7   3   18   4             2   5   7      24
      - 72*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

              2   5   7      22   2              2   5   7      20   4
      + 12*a33 *m1 *m2 *n1*n2  *n3 *r214 + 24*a33 *m1 *m2 *n1*n2  *n3 *r214

             2   5   6   24   2             2   5   6   22   4
      + 2*a33 *m1 *m2 *n1  *n2 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r216

              2   5   6   22   2   2              2   5   6   20   6
      + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 28*a33 *m1 *m2 *n1  *n2 *r216

               2   5   6   20   4   2              2   5   6   20   2   4
      + 150*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   6   18   8               2   5   6   18   6   2
      - 130*a33 *m1 *m2 *n1  *n2 *r216 + 200*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   6   18   4   4               2   5   6   16   10
      + 320*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 212*a33 *m1 *m2 *n1  *n2  *r216

               2   5   6   16   8   2               2   5   6   16   6   4
      - 280*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 572*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   6   14   12                2   5   6   14   10   2
      - 112*a33 *m1 *m2 *n1  *n2  *r216 - 1256*a33 *m1 *m2 *n1  *n2  *n3 *r216

              2   5   6   14   8   4               2   5   6   12   14
      + 88*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 112*a33 *m1 *m2 *n1  *n2  *r216

                2   5   6   12   12   2
      - 1792*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   6   12   10   4               2   5   6   10   16
      - 1120*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 212*a33 *m1 *m2 *n1  *n2  *r216

                2   5   6   10   14   2
      - 1316*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   5   6   10   12   4               2   5   6   8   18
      - 1736*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 130*a33 *m1 *m2 *n1 *n2  *r216

               2   5   6   8   16   2                2   5   6   8   14   4
      - 460*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 1120*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   6   6   20              2   5   6   6   18   2
      + 28*a33 *m1 *m2 *n1 *n2  *r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   6   6   16   4             2   5   6   4   22
      - 248*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

              2   5   6   4   20   2              2   5   6   4   18   4
      + 74*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 68*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   5   6   2   24              2   5   6   2   22   2
      - 2*a33 *m1 *m2 *n1 *n2  *r216 + 28*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   6   2   20   4             2   5   6   24   2
      + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

             2   5   6   22   4              2   4   8   22   3
      + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

              2   4   8   20   5               2   4   8   20   3   2
      - 32*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   8   18   7               2   4   8   18   5   2
      + 144*a33 *m1 *m2 *n1  *n2 *r214 - 460*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   8   18   3   4               2   4   8   16   9
      - 160*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 576*a33 *m1 *m2 *n1  *n2 *r214

               2   4   8   16   7   2               2   4   8   16   5   4
      - 240*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 648*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   8   14   11                2   4   8   14   9   2
      + 672*a33 *m1 *m2 *n1  *n2  *r214 + 1428*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   8   14   7   4
      - 648*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   8   12   11   2
      + 2976*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   4   8   12   9   4               2   4   8   10   15
      + 768*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 672*a33 *m1 *m2 *n1  *n2  *r214

                2   4   8   10   13   2
      + 2148*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   4   8   10   11   4               2   4   8   8   17
      + 2088*a33 *m1 *m2 *n1  *n2  *n3 *r214 - 576*a33 *m1 *m2 *n1 *n2  *r214

               2   4   8   8   15   2                2   4   8   8   13   4
      + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1440*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   8   6   19               2   4   8   6   17   2
      - 144*a33 *m1 *m2 *n1 *n2  *r214 - 660*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   8   6   15   4              2   4   8   4   21
      + 72*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *r214

               2   4   8   4   19   2               2   4   8   4   17   4
      - 312*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 288*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   8   2   23              2   4   8   2   21   2
      + 16*a33 *m1 *m2 *n1 *n2  *r214 - 24*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   8   2   19   4             2   4   8   23   2
      - 72*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

             2   4   8   21   4             2   4   7   23   3
      + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n1  *n2 *r216

              2   4   7   21   5              2   4   7   21   3   2
      + 36*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   7   19   7               2   4   7   19   5   2
      + 18*a33 *m1 *m2 *n1  *n2 *r216 + 350*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   4   7   19   3   4               2   4   7   17   9
      + 80*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 194*a33 *m1 *m2 *n1  *n2 *r216

               2   4   7   17   7   2               2   4   7   17   5   4
      + 746*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 464*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   7   15   11               2   4   7   15   9   2
      - 520*a33 *m1 *m2 *n1  *n2  *r216 + 472*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   7   15   7   4               2   4   7   13   13
      + 1024*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 560*a33 *m1 *m2 *n1  *n2  *r216

               2   4   7   13   11   2               2   4   7   13   9   4
      - 784*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 896*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   7   11   15                2   4   7   11   13   2
      - 196*a33 *m1 *m2 *n1  *n2  *r216 - 1820*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   4   7   11   11   4               2   4   7   9   17
      - 224*a33 *m1 *m2 *n1  *n2  *n3 *r216 + 148*a33 *m1 *m2 *n1 *n2  *r216

                2   4   7   9   15   2
      - 1540*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   7   9   13   4               2   4   7   7   19
      - 1120*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 176*a33 *m1 *m2 *n1 *n2  *r216

               2   4   7   7   17   2               2   4   7   7   15   4
      - 584*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 896*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   4   7   5   21              2   4   7   5   19   2
      + 60*a33 *m1 *m2 *n1 *n2  *r216 - 28*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   7   5   17   4             2   4   7   3   23
      - 256*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

              2   4   7   3   21   2              2   4   7   3   19   4
      + 46*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   4   7      25              2   4   7      23   2
      - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   4   7      21   4              2   3   9   21   4
      + 16*a33 *m1 *m2 *n1*n2  *n3 *r216 - 24*a33 *m1 *m2 *n1  *n2 *r214

               2   3   9   19   6               2   3   9   19   4   2
      - 108*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   9   17   8               2   3   9   17   6   2
      - 108*a33 *m1 *m2 *n1  *n2 *r214 - 612*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   9   17   4   4               2   3   9   15   10
      - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 252*a33 *m1 *m2 *n1  *n2  *r214

                2   3   9   15   8   2               2   3   9   15   6   4
      - 1088*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 584*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   9   13   12               2   3   9   13   10   2
      + 756*a33 *m1 *m2 *n1  *n2  *r214 - 420*a33 *m1 *m2 *n1  *n2  *n3 *r214

                2   3   9   13   8   4               2   3   9   11   14
      - 1008*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 756*a33 *m1 *m2 *n1  *n2  *r214

                2   3   9   11   12   2
      + 1176*a33 *m1 *m2 *n1  *n2  *n3 *r214

               2   3   9   11   10   4               2   3   9   9   16
      - 504*a33 *m1 *m2 *n1  *n2  *n3 *r214 + 252*a33 *m1 *m2 *n1 *n2  *r214

                2   3   9   9   14   2               2   3   9   9   12   4
      + 1820*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 560*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   9   7   18                2   3   9   7   16   2
      - 108*a33 *m1 *m2 *n1 *n2  *r214 + 1008*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   9   7   14   4               2   3   9   5   20
      + 840*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 108*a33 *m1 *m2 *n1 *n2  *r214

               2   3   9   5   18   2               2   3   9   5   16   4
      + 132*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 336*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   9   3   22              2   3   9   3   20   2
      - 24*a33 *m1 *m2 *n1 *n2  *r214 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

             2   3   9   3   18   4              2   3   9      22   2
      - 8*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 24*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   9      20   4              2   3   8   22   4
      - 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 12*a33 *m1 *m2 *n1  *n2 *r216

              2   3   8   20   6              2   3   8   20   4   2
      + 74*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   8   18   8               2   3   8   18   6   2
      + 166*a33 *m1 *m2 *n1  *n2 *r216 + 396*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   8   18   4   4               2   3   8   16   10
      + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 104*a33 *m1 *m2 *n1  *n2  *r216

                2   3   8   16   8   2               2   3   8   16   6   4
      + 1066*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 376*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   8   14   12                2   3   8   14   10   2
      - 224*a33 *m1 *m2 *n1  *n2  *r216 + 1418*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   3   8   14   8   4               2   3   8   12   14
      + 956*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 532*a33 *m1 *m2 *n1  *n2  *r216

               2   3   8   12   12   2
      + 742*a33 *m1 *m2 *n1  *n2  *n3 *r216

                2   3   8   12   10   4               2   3   8   10   16
      + 1204*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 476*a33 *m1 *m2 *n1  *n2  *r216

               2   3   8   10   14   2
      - 406*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   3   8   10   12   4               2   3   8   8   18
      + 644*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 184*a33 *m1 *m2 *n1 *n2  *r216

               2   3   8   8   16   2               2   3   8   8   14   4
      - 854*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 140*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   3   8   6   20               2   3   8   6   18   2
      + 4*a33 *m1 *m2 *n1 *n2  *r216 - 514*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   8   6   16   4              2   3   8   4   22
      - 364*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 26*a33 *m1 *m2 *n1 *n2  *r216

               2   3   8   4   20   2               2   3   8   4   18   4
      - 122*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 164*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   3   8   2   24             2   3   8   2   22   2
      + 6*a33 *m1 *m2 *n1 *n2  *r216 + 2*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   8   2   20   4             2   3   8   24   2
      - 16*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

             2   3   8   22   4              2   2   10   20   5
      + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1 *m2  *n1  *n2 *r214

              2   2   10   18   7              2   2   10   18   5   2
      - 96*a33 *m1 *m2  *n1  *n2 *r214 - 60*a33 *m1 *m2  *n1  *n2 *n3 *r214

               2   2   10   16   9               2   2   10   16   7   2
      - 224*a33 *m1 *m2  *n1  *n2 *r214 - 360*a33 *m1 *m2  *n1  *n2 *n3 *r214

              2   2   10   16   5   4               2   2   10   14   11
      - 48*a33 *m1 *m2  *n1  *n2 *n3 *r214 - 224*a33 *m1 *m2  *n1  *n2  *r214

               2   2   10   14   9   2
      - 876*a33 *m1 *m2  *n1  *n2 *n3 *r214

               2   2   10   14   7   4
      - 264*a33 *m1 *m2  *n1  *n2 *n3 *r214

                2   2   10   12   11   2
      - 1056*a33 *m1 *m2  *n1  *n2  *n3 *r214

               2   2   10   12   9   4               2   2   10   10   15
      - 576*a33 *m1 *m2  *n1  *n2 *n3 *r214 + 224*a33 *m1 *m2  *n1  *n2  *r214

               2   2   10   10   13   2
      - 540*a33 *m1 *m2  *n1  *n2  *n3 *r214

               2   2   10   10   11   4               2   2   10   8   17
      - 600*a33 *m1 *m2  *n1  *n2  *n3 *r214 + 224*a33 *m1 *m2  *n1 *n2  *r214

               2   2   10   8   15   2
      + 120*a33 *m1 *m2  *n1 *n2  *n3 *r214

               2   2   10   8   13   4              2   2   10   6   19
      - 240*a33 *m1 *m2  *n1 *n2  *n3 *r214 + 96*a33 *m1 *m2  *n1 *n2  *r214

               2   2   10   6   17   2              2   2   10   6   15   4
      + 300*a33 *m1 *m2  *n1 *n2  *n3 *r214 + 72*a33 *m1 *m2  *n1 *n2  *n3 *r214

              2   2   10   4   21               2   2   10   4   19   2
      + 16*a33 *m1 *m2  *n1 *n2  *r214 + 144*a33 *m1 *m2  *n1 *n2  *n3 *r214

              2   2   10   4   17   4              2   2   10   2   21   2
      + 96*a33 *m1 *m2  *n1 *n2  *n3 *r214 + 24*a33 *m1 *m2  *n1 *n2  *n3 *r214

              2   2   10   2   19   4             2   2   9   21   5
      + 24*a33 *m1 *m2  *n1 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n1  *n2 *r216

              2   2   9   19   7              2   2   9   19   5   2
      + 58*a33 *m1 *m2 *n1  *n2 *r216 + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   9   17   9               2   2   9   17   7   2
      + 176*a33 *m1 *m2 *n1  *n2 *r216 + 216*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   2   9   17   5   4               2   2   9   15   11
      + 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 280*a33 *m1 *m2 *n1  *n2  *r216

               2   2   9   15   9   2               2   2   9   15   7   4
      + 664*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 160*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   9   13   13                2   2   9   13   11   2
      + 224*a33 *m1 *m2 *n1  *n2  *r216 + 1120*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   2   9   13   9   4              2   2   9   11   15
      + 448*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 28*a33 *m1 *m2 *n1  *n2  *r216

                2   2   9   11   13   2
      + 1092*a33 *m1 *m2 *n1  *n2  *n3 *r216

               2   2   9   11   11   4               2   2   9   9   17
      + 672*a33 *m1 *m2 *n1  *n2  *n3 *r216 - 112*a33 *m1 *m2 *n1 *n2  *r216

               2   2   9   9   15   2               2   2   9   9   13   4
      + 560*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 560*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   9   7   19              2   2   9   7   17   2
      - 104*a33 *m1 *m2 *n1 *n2  *r216 + 56*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   9   7   15   4              2   2   9   5   21
      + 224*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2  *r216

              2   2   9   5   19   2             2   2   9   3   23
      - 96*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

              2   2   9   3   21   2              2   2   9   3   19   4
      - 50*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2  *n3 *r216

             2   2   9      23   2             2   2   9      21   4
      - 8*a33 *m1 *m2 *n1*n2  *n3 *r216 - 8*a33 *m1 *m2 *n1*n2  *n3 *r216

             2      11   19   6              2      11   17   8
      - 4*a33 *m1*m2  *n1  *n2 *r214 - 28*a33 *m1*m2  *n1  *n2 *r214

              2      11   17   6   2              2      11   15   10
      - 12*a33 *m1*m2  *n1  *n2 *n3 *r214 - 84*a33 *m1*m2  *n1  *n2  *r214

              2      11   15   8   2             2      11   15   6   4
      - 80*a33 *m1*m2  *n1  *n2 *n3 *r214 - 8*a33 *m1*m2  *n1  *n2 *n3 *r214

               2      11   13   12               2      11   13   10   2
      - 140*a33 *m1*m2  *n1  *n2  *r214 - 228*a33 *m1*m2  *n1  *n2  *n3 *r214

              2      11   13   8   4               2      11   11   14
      - 48*a33 *m1*m2  *n1  *n2 *n3 *r214 - 140*a33 *m1*m2  *n1  *n2  *r214

               2      11   11   12   2
      - 360*a33 *m1*m2  *n1  *n2  *n3 *r214

               2      11   11   10   4              2      11   9   16
      - 120*a33 *m1*m2  *n1  *n2  *n3 *r214 - 84*a33 *m1*m2  *n1 *n2  *r214

               2      11   9   14   2               2      11   9   12   4
      - 340*a33 *m1*m2  *n1 *n2  *n3 *r214 - 160*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      11   7   18               2      11   7   16   2
      - 28*a33 *m1*m2  *n1 *n2  *r214 - 192*a33 *m1*m2  *n1 *n2  *n3 *r214

               2      11   7   14   4             2      11   5   20
      - 120*a33 *m1*m2  *n1 *n2  *n3 *r214 - 4*a33 *m1*m2  *n1 *n2  *r214

              2      11   5   18   2              2      11   5   16   4
      - 60*a33 *m1*m2  *n1 *n2  *n3 *r214 - 48*a33 *m1*m2  *n1 *n2  *n3 *r214

             2      11   3   20   2             2      11   3   18   4
      - 8*a33 *m1*m2  *n1 *n2  *n3 *r214 - 8*a33 *m1*m2  *n1 *n2  *n3 *r214

             2      10   20   6              2      10   18   8
      + 2*a33 *m1*m2  *n1  *n2 *r216 + 16*a33 *m1*m2  *n1  *n2 *r216

             2      10   18   6   2              2      10   16   10
      + 6*a33 *m1*m2  *n1  *n2 *n3 *r216 + 56*a33 *m1*m2  *n1  *n2  *r216

              2      10   16   8   2             2      10   16   6   4
      + 46*a33 *m1*m2  *n1  *n2 *n3 *r216 + 4*a33 *m1*m2  *n1  *n2 *n3 *r216

               2      10   14   12               2      10   14   10   2
      + 112*a33 *m1*m2  *n1  *n2  *r216 + 154*a33 *m1*m2  *n1  *n2  *n3 *r216

              2      10   14   8   4               2      10   12   14
      + 28*a33 *m1*m2  *n1  *n2 *n3 *r216 + 140*a33 *m1*m2  *n1  *n2  *r216

               2      10   12   12   2              2      10   12   10   4
      + 294*a33 *m1*m2  *n1  *n2  *n3 *r216 + 84*a33 *m1*m2  *n1  *n2  *n3 *r216

               2      10   10   16               2      10   10   14   2
      + 112*a33 *m1*m2  *n1  *n2  *r216 + 350*a33 *m1*m2  *n1  *n2  *n3 *r216

               2      10   10   12   4              2      10   8   18
      + 140*a33 *m1*m2  *n1  *n2  *n3 *r216 + 56*a33 *m1*m2  *n1 *n2  *r216

               2      10   8   16   2               2      10   8   14   4
      + 266*a33 *m1*m2  *n1 *n2  *n3 *r216 + 140*a33 *m1*m2  *n1 *n2  *n3 *r216

              2      10   6   20               2      10   6   18   2
      + 16*a33 *m1*m2  *n1 *n2  *r216 + 126*a33 *m1*m2  *n1 *n2  *n3 *r216

              2      10   6   16   4             2      10   4   22
      + 84*a33 *m1*m2  *n1 *n2  *n3 *r216 + 2*a33 *m1*m2  *n1 *n2  *r216

              2      10   4   20   2              2      10   4   18   4
      + 34*a33 *m1*m2  *n1 *n2  *n3 *r216 + 28*a33 *m1*m2  *n1 *n2  *n3 *r216

             2      10   2   22   2             2      10   2   20   4
      + 4*a33 *m1*m2  *n1 *n2  *n3 *r216 + 4*a33 *m1*m2  *n1 *n2  *n3 *r216

            11   22   4   2            11   22   2   4
      - 4*m1  *n1  *n2 *n3 *r496 + 8*m1  *n1  *n2 *n3 *r496

             11   20   6   2             11   20   4   4
      - 25*m1  *n1  *n2 *n3 *r496 + 50*m1  *n1  *n2 *n3 *r496

             11   18   8   2              11   18   6   4
      - 55*m1  *n1  *n2 *n3 *r496 + 110*m1  *n1  *n2 *n3 *r496

             11   16   10   2             11   16   8   4
      - 45*m1  *n1  *n2  *n3 *r496 + 90*m1  *n1  *n2 *n3 *r496

            11   14   12   2             11   14   10   4
      + 5*m1  *n1  *n2  *n3 *r496 - 10*m1  *n1  *n2  *n3 *r496

             11   12   14   2             11   12   12   4
      + 21*m1  *n1  *n2  *n3 *r496 - 42*m1  *n1  *n2  *n3 *r496

            11   10   16   2             11   10   14   4
      - 5*m1  *n1  *n2  *n3 *r496 + 10*m1  *n1  *n2  *n3 *r496

             11   8   18   2             11   8   16   4
      - 15*m1  *n1 *n2  *n3 *r496 + 30*m1  *n1 *n2  *n3 *r496

            11   6   20   2             11   6   18   4
      - 5*m1  *n1 *n2  *n3 *r496 + 10*m1  *n1 *n2  *n3 *r496

            10      23   5             10      23   3   2
      - 4*m1  *m2*n1  *n2 *r496 + 19*m1  *m2*n1  *n2 *n3 *r496

             10      23      4             10      21   7
      - 14*m1  *m2*n1  *n2*n3 *r496 - 29*m1  *m2*n1  *n2 *r496

              10      21   5   2             10      21   3   4
      + 109*m1  *m2*n1  *n2 *n3 *r496 - 44*m1  *m2*n1  *n2 *n3 *r496

             10      19   9              10      19   7   2
      - 80*m1  *m2*n1  *n2 *r496 + 168*m1  *m2*n1  *n2 *n3 *r496

              10      19   5   4              10      17   11
      + 144*m1  *m2*n1  *n2 *n3 *r496 - 100*m1  *m2*n1  *n2  *r496

             10      17   9   2              10      17   7   4
      - 56*m1  *m2*n1  *n2 *n3 *r496 + 712*m1  *m2*n1  *n2 *n3 *r496

             10      15   13              10      15   11   2
      - 40*m1  *m2*n1  *n2  *r496 - 330*m1  *m2*n1  *n2  *n3 *r496

              10      15   9   4             10      13   15
      + 900*m1  *m2*n1  *n2 *n3 *r496 + 26*m1  *m2*n1  *n2  *r496

              10      13   13   2              10      13   11   4
      - 166*m1  *m2*n1  *n2  *n3 *r496 + 176*m1  *m2*n1  *n2  *n3 *r496

             10      11   17              10      11   15   2
      + 16*m1  *m2*n1  *n2  *r496 + 144*m1  *m2*n1  *n2  *n3 *r496

              10      11   13   4             10      9   19
      - 384*m1  *m2*n1  *n2  *n3 *r496 - 20*m1  *m2*n1 *n2  *r496

              10      9   17   2              10      9   15   4
      + 128*m1  *m2*n1 *n2  *n3 *r496 - 136*m1  *m2*n1 *n2  *n3 *r496

             10      7   21          10      7   19   2
      - 20*m1  *m2*n1 *n2  *r496 - m1  *m2*n1 *n2  *n3 *r496

              10      7   17   4            10      5   23
      + 122*m1  *m2*n1 *n2  *n3 *r496 - 5*m1  *m2*n1 *n2  *r496

             10      5   21   2             10      5   19   4
      - 15*m1  *m2*n1 *n2  *n3 *r496 + 60*m1  *m2*n1 *n2  *n3 *r496

            10   22   5   2            10   22   3   4
      + 2*m1  *n1  *n2 *n3 *r483 - 4*m1  *n1  *n2 *n3 *r483

            10   20   7   2             10   20   5   4
      + 8*m1  *n1  *n2 *n3 *r483 - 16*m1  *n1  *n2 *n3 *r483

            10   18   9   2             10   18   7   4
      + 8*m1  *n1  *n2 *n3 *r483 - 16*m1  *n1  *n2 *n3 *r483

            10   16   11   2             10   16   9   4
      - 8*m1  *n1  *n2  *n3 *r483 + 16*m1  *n1  *n2 *n3 *r483

             10   14   13   2             10   14   11   4
      - 20*m1  *n1  *n2  *n3 *r483 + 40*m1  *n1  *n2  *n3 *r483

            10   12   15   2             10   12   13   4
      - 8*m1  *n1  *n2  *n3 *r483 + 16*m1  *n1  *n2  *n3 *r483

            10   10   17   2             10   10   15   4
      + 8*m1  *n1  *n2  *n3 *r483 - 16*m1  *n1  *n2  *n3 *r483

            10   8   19   2             10   8   17   4
      + 8*m1  *n1 *n2  *n3 *r483 - 16*m1  *n1 *n2  *n3 *r483

            10   6   21   2            10   6   19   4
      + 2*m1  *n1 *n2  *n3 *r483 - 4*m1  *n1 *n2  *n3 *r483

             9   2   24   4             9   2   24   2   2
      + 11*m1 *m2 *n1  *n2 *r496 - 24*m1 *m2 *n1  *n2 *n3 *r496

            9   2   24   4             9   2   22   6
      + 6*m1 *m2 *n1  *n3 *r496 + 66*m1 *m2 *n1  *n2 *r496

             9   2   22   4   2             9   2   22   2   4
      - 90*m1 *m2 *n1  *n2 *n3 *r496 - 18*m1 *m2 *n1  *n2 *n3 *r496

             9   2   20   8              9   2   20   6   2
      + 88*m1 *m2 *n1  *n2 *r496 + 243*m1 *m2 *n1  *n2 *n3 *r496

              9   2   20   4   4              9   2   18   10
      - 360*m1 *m2 *n1  *n2 *n3 *r496 - 168*m1 *m2 *n1  *n2  *r496

               9   2   18   8   2              9   2   18   6   4
      + 1285*m1 *m2 *n1  *n2 *n3 *r496 - 482*m1 *m2 *n1  *n2 *n3 *r496

              9   2   16   12               9   2   16   10   2
      - 566*m1 *m2 *n1  *n2  *r496 + 1471*m1 *m2 *n1  *n2  *n3 *r496

               9   2   16   8   4              9   2   14   14
      + 1294*m1 *m2 *n1  *n2 *n3 *r496 - 484*m1 *m2 *n1  *n2  *r496

              9   2   14   12   2               9   2   14   10   4
      - 139*m1 *m2 *n1  *n2  *n3 *r496 + 3266*m1 *m2 *n1  *n2  *n3 *r496

             9   2   12   16               9   2   12   14   2
      + 36*m1 *m2 *n1  *n2  *r496 - 1095*m1 *m2 *n1  *n2  *n3 *r496

               9   2   12   12   4              9   2   10   18
      + 1722*m1 *m2 *n1  *n2  *n3 *r496 + 248*m1 *m2 *n1  *n2  *r496

              9   2   10   16   2              9   2   10   14   4
      - 257*m1 *m2 *n1  *n2  *n3 *r496 - 950*m1 *m2 *n1  *n2  *n3 *r496

             9   2   8   20              9   2   8   18   2
      + 67*m1 *m2 *n1 *n2  *r496 + 365*m1 *m2 *n1 *n2  *n3 *r496

              9   2   8   16   4             9   2   6   22
      - 892*m1 *m2 *n1 *n2  *n3 *r496 - 46*m1 *m2 *n1 *n2  *r496

              9   2   6   20   2              9   2   6   18   4
      + 161*m1 *m2 *n1 *n2  *n3 *r496 + 104*m1 *m2 *n1 *n2  *n3 *r496

             9   2   4   24              9   2   4   20   4
      - 20*m1 *m2 *n1 *n2  *r496 + 150*m1 *m2 *n1 *n2  *n3 *r496

            9      23   6             9      23   4   2
      + 2*m1 *m2*n1  *n2 *r483 - 12*m1 *m2*n1  *n2 *n3 *r483

             9      23   2   4             9      21   8
      + 12*m1 *m2*n1  *n2 *n3 *r483 + 10*m1 *m2*n1  *n2 *r483

             9      21   6   2             9      21   4   4
      - 38*m1 *m2*n1  *n2 *n3 *r483 + 16*m1 *m2*n1  *n2 *n3 *r483

             9      19   10            9      19   8   2
      + 16*m1 *m2*n1  *n2  *r483 - 4*m1 *m2*n1  *n2 *n3 *r483

             9      19   6   4              9      17   10   2
      - 88*m1 *m2*n1  *n2 *n3 *r483 + 108*m1 *m2*n1  *n2  *n3 *r483

              9      17   8   4             9      15   14
      - 216*m1 *m2*n1  *n2 *n3 *r483 - 28*m1 *m2*n1  *n2  *r483

              9      15   12   2             9      15   10   4
      + 116*m1 *m2*n1  *n2  *n3 *r483 - 64*m1 *m2*n1  *n2  *n3 *r483

             9      13   16             9      13   14   2
      - 28*m1 *m2*n1  *n2  *r483 - 32*m1 *m2*n1  *n2  *n3 *r483

              9      13   12   4              9      11   16   2
      + 232*m1 *m2*n1  *n2  *n3 *r483 - 108*m1 *m2*n1  *n2  *n3 *r483

              9      11   14   4             9      9   20
      + 216*m1 *m2*n1  *n2  *n3 *r483 + 16*m1 *m2*n1 *n2  *r483

             9      9   18   2            9      9   16   4
      - 44*m1 *m2*n1 *n2  *n3 *r483 - 8*m1 *m2*n1 *n2  *n3 *r483

             9      7   22            9      7   20   2
      + 10*m1 *m2*n1 *n2  *r483 + 8*m1 *m2*n1 *n2  *n3 *r483

             9      7   18   4            9      5   24
      - 76*m1 *m2*n1 *n2  *n3 *r483 + 2*m1 *m2*n1 *n2  *r483

            9      5   22   2             9      5   20   4
      + 6*m1 *m2*n1 *n2  *n3 *r483 - 24*m1 *m2*n1 *n2  *n3 *r483

             8   3   25   3            8   3   25      2
      - 10*m1 *m2 *n1  *n2 *r496 + 9*m1 *m2 *n1  *n2*n3 *r496

             8   3   23   5            8   3   23   3   2
      - 45*m1 *m2 *n1  *n2 *r496 + 4*m1 *m2 *n1  *n2 *n3 *r496

            8   3   23      4              8   3   21   7
      - 2*m1 *m2 *n1  *n2*n3 *r496 + 111*m1 *m2 *n1  *n2 *r496

              8   3   21   5   2              8   3   21   3   4
      - 551*m1 *m2 *n1  *n2 *n3 *r496 + 166*m1 *m2 *n1  *n2 *n3 *r496

              8   3   19   9               8   3   19   7   2
      + 702*m1 *m2 *n1  *n2 *r496 - 1106*m1 *m2 *n1  *n2 *n3 *r496

              8   3   19   5   4              8   3   17   11
      - 440*m1 *m2 *n1  *n2 *n3 *r496 + 816*m1 *m2 *n1  *n2  *r496

               8   3   17   9   2               8   3   17   7   4
      + 1382*m1 *m2 *n1  *n2 *n3 *r496 - 2416*m1 *m2 *n1  *n2 *n3 *r496

              8   3   15   13               8   3   15   11   2
      - 510*m1 *m2 *n1  *n2  *r496 + 5116*m1 *m2 *n1  *n2  *n3 *r496

              8   3   15   9   4               8   3   13   15
      - 788*m1 *m2 *n1  *n2 *n3 *r496 - 1590*m1 *m2 *n1  *n2  *r496

               8   3   13   13   2               8   3   13   11   4
      + 3374*m1 *m2 *n1  *n2  *n3 *r496 + 5228*m1 *m2 *n1  *n2  *n3 *r496

              8   3   11   17               8   3   11   15   2
      - 744*m1 *m2 *n1  *n2  *r496 - 1376*m1 *m2 *n1  *n2  *n3 *r496

               8   3   11   13   4              8   3   9   19
      + 5536*m1 *m2 *n1  *n2  *n3 *r496 + 402*m1 *m2 *n1 *n2  *r496

               8   3   9   17   2              8   3   9   15   4
      - 1951*m1 *m2 *n1 *n2  *n3 *r496 - 160*m1 *m2 *n1 *n2  *n3 *r496

              8   3   7   21              8   3   7   19   2
      + 371*m1 *m2 *n1 *n2  *r496 - 128*m1 *m2 *n1 *n2  *n3 *r496

               8   3   7   17   4             8   3   5   23
      - 1946*m1 *m2 *n1 *n2  *n3 *r496 + 15*m1 *m2 *n1 *n2  *r496

              8   3   5   21   2              8   3   5   19   4
      + 297*m1 *m2 *n1 *n2  *n3 *r496 - 258*m1 *m2 *n1 *n2  *n3 *r496

             8   3   3   25             8   3   3   23   2
      - 30*m1 *m2 *n1 *n2  *r496 + 50*m1 *m2 *n1 *n2  *n3 *r496

              8   3   3   21   4            8   2   24   5
      + 200*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1  *n2 *r483

             8   2   24   3   2             8   2   24      4
      + 24*m1 *m2 *n1  *n2 *n3 *r483 - 12*m1 *m2 *n1  *n2*n3 *r483

             8   2   22   7             8   2   22   5   2
      - 28*m1 *m2 *n1  *n2 *r483 + 24*m1 *m2 *n1  *n2 *n3 *r483

             8   2   22   3   4              8   2   20   7   2
      + 48*m1 *m2 *n1  *n2 *n3 *r483 - 204*m1 *m2 *n1  *n2 *n3 *r483

              8   2   20   5   4              8   2   18   11
      + 252*m1 *m2 *n1  *n2 *n3 *r483 + 120*m1 *m2 *n1  *n2  *r483

              8   2   18   9   2             8   2   18   7   4
      - 444*m1 *m2 *n1  *n2 *n3 *r483 + 72*m1 *m2 *n1  *n2 *n3 *r483

              8   2   16   13             8   2   16   11   2
      + 168*m1 *m2 *n1  *n2  *r483 - 60*m1 *m2 *n1  *n2  *n3 *r483

              8   2   16   9   4              8   2   14   13   2
      - 720*m1 *m2 *n1  *n2 *n3 *r483 + 564*m1 *m2 *n1  *n2  *n3 *r483

              8   2   14   11   4              8   2   12   17
      - 792*m1 *m2 *n1  *n2  *n3 *r483 - 168*m1 *m2 *n1  *n2  *r483

              8   2   12   15   2              8   2   12   13   4
      + 444*m1 *m2 *n1  *n2  *n3 *r483 + 288*m1 *m2 *n1  *n2  *n3 *r483

              8   2   10   19             8   2   10   17   2
      - 120*m1 *m2 *n1  *n2  *r483 - 84*m1 *m2 *n1  *n2  *n3 *r483

              8   2   10   15   4              8   2   8   19   2
      + 792*m1 *m2 *n1  *n2  *n3 *r483 - 204*m1 *m2 *n1 *n2  *n3 *r483

              8   2   8   17   4             8   2   6   23
      + 252*m1 *m2 *n1 *n2  *n3 *r483 + 28*m1 *m2 *n1 *n2  *r483

             8   2   6   21   2              8   2   6   19   4
      - 60*m1 *m2 *n1 *n2  *n3 *r483 - 120*m1 *m2 *n1 *n2  *n3 *r483

            8   2   4   25             8   2   4   21   4
      + 8*m1 *m2 *n1 *n2  *r483 - 60*m1 *m2 *n1 *n2  *n3 *r483

            7   4   26   2             7   4   24   4
      + 3*m1 *m2 *n1  *n2 *r496 + 15*m1 *m2 *n1  *n2 *r496

             7   4   24   2   2             7   4   24   4
      - 19*m1 *m2 *n1  *n2 *n3 *r496 + 14*m1 *m2 *n1  *n3 *r496

              7   4   22   6              7   4   22   4   2
      - 192*m1 *m2 *n1  *n2 *r496 + 327*m1 *m2 *n1  *n2 *n3 *r496

              7   4   22   2   4              7   4   20   8
      - 168*m1 *m2 *n1  *n2 *n3 *r496 - 572*m1 *m2 *n1  *n2 *r496

             7   4   20   6   2              7   4   20   4   4
      - 89*m1 *m2 *n1  *n2 *n3 *r496 + 292*m1 *m2 *n1  *n2 *n3 *r496

              7   4   18   10               7   4   18   8   2
      + 342*m1 *m2 *n1  *n2  *r496 - 3415*m1 *m2 *n1  *n2 *n3 *r496

              7   4   18   6   4               7   4   16   12
      + 914*m1 *m2 *n1  *n2 *n3 *r496 + 2418*m1 *m2 *n1  *n2  *r496

               7   4   16   10   2               7   4   16   8   4
      - 3560*m1 *m2 *n1  *n2  *n3 *r496 - 2840*m1 *m2 *n1  *n2 *n3 *r496

               7   4   14   14               7   4   14   12   2
      + 1860*m1 *m2 *n1  *n2  *r496 + 4736*m1 *m2 *n1  *n2  *n3 *r496

               7   4   14   10   4               7   4   12   16
      - 5596*m1 *m2 *n1  *n2  *n3 *r496 - 1332*m1 *m2 *n1  *n2  *r496

               7   4   12   14   2               7   4   12   12   4
      + 9052*m1 *m2 *n1  *n2  *n3 *r496 + 2212*m1 *m2 *n1  *n2  *n3 *r496

               7   4   10   18               7   4   10   16   2
      - 2157*m1 *m2 *n1  *n2  *r496 + 2516*m1 *m2 *n1  *n2  *n3 *r496

               7   4   10   14   4              7   4   8   20
      + 8312*m1 *m2 *n1  *n2  *n3 *r496 - 393*m1 *m2 *n1 *n2  *r496

               7   4   8   18   2               7   4   8   16   4
      - 2525*m1 *m2 *n1 *n2  *n3 *r496 + 2794*m1 *m2 *n1 *n2  *n3 *r496

              7   4   6   22               7   4   6   20   2
      + 420*m1 *m2 *n1 *n2  *r496 - 1295*m1 *m2 *n1 *n2  *n3 *r496

               7   4   6   18   4              7   4   4   24
      - 1820*m1 *m2 *n1 *n2  *n3 *r496 + 120*m1 *m2 *n1 *n2  *r496

             7   4   4   22   2              7   4   4   20   4
      + 85*m1 *m2 *n1 *n2  *n3 *r496 - 680*m1 *m2 *n1 *n2  *n3 *r496

             7   4   2   26             7   4   2   24   2
      - 20*m1 *m2 *n1 *n2  *r496 + 75*m1 *m2 *n1 *n2  *n3 *r496

              7   4   2   22   4             7   3   25   4
      + 150*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1  *n2 *r483

             7   3   25   2   2            7   3   25   4
      - 20*m1 *m2 *n1  *n2 *n3 *r483 + 4*m1 *m2 *n1  *n3 *r483

             7   3   23   6             7   3   23   4   2
      + 12*m1 *m2 *n1  *n2 *r483 + 76*m1 *m2 *n1  *n2 *n3 *r483

             7   3   23   2   4              7   3   21   8
      - 80*m1 *m2 *n1  *n2 *n3 *r483 - 132*m1 *m2 *n1  *n2 *r483

              7   3   21   6   2             7   3   21   4   4
      + 436*m1 *m2 *n1  *n2 *n3 *r483 - 68*m1 *m2 *n1  *n2 *n3 *r483

              7   3   19   10              7   3   19   8   2
      - 324*m1 *m2 *n1  *n2  *r483 + 204*m1 *m2 *n1  *n2 *n3 *r483

              7   3   19   6   4             7   3   17   12
      + 720*m1 *m2 *n1  *n2 *n3 *r483 - 72*m1 *m2 *n1  *n2  *r483

               7   3   17   10   2               7   3   17   8   4
      - 1176*m1 *m2 *n1  *n2  *n3 *r483 + 1224*m1 *m2 *n1  *n2 *n3 *r483

              7   3   15   14               7   3   15   12   2
      + 504*m1 *m2 *n1  *n2  *r483 - 1560*m1 *m2 *n1  *n2  *n3 *r483

              7   3   15   10   4              7   3   13   16
      - 576*m1 *m2 *n1  *n2  *n3 *r483 + 504*m1 *m2 *n1  *n2  *r483

              7   3   13   14   2               7   3   13   12   4
      + 216*m1 *m2 *n1  *n2  *n3 *r483 - 2280*m1 *m2 *n1  *n2  *n3 *r483

             7   3   11   18               7   3   11   16   2
      - 72*m1 *m2 *n1  *n2  *r483 + 1416*m1 *m2 *n1  *n2  *n3 *r483

              7   3   11   14   4              7   3   9   20
      - 768*m1 *m2 *n1  *n2  *n3 *r483 - 324*m1 *m2 *n1 *n2  *r483

              7   3   9   18   2               7   3   9   16   4
      + 684*m1 *m2 *n1 *n2  *n3 *r483 + 1140*m1 *m2 *n1 *n2  *n3 *r483

              7   3   7   22              7   3   7   20   2
      - 132*m1 *m2 *n1 *n2  *r483 - 116*m1 *m2 *n1 *n2  *n3 *r483

              7   3   7   18   4             7   3   5   24
      + 784*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2  *r483

              7   3   5   22   2             7   3   5   20   4
      - 140*m1 *m2 *n1 *n2  *n3 *r483 - 20*m1 *m2 *n1 *n2  *n3 *r483

             7   3   3   26             7   3   3   24   2
      + 12*m1 *m2 *n1 *n2  *r483 - 20*m1 *m2 *n1 *n2  *n3 *r483

             7   3   3   22   4             6   5   25   3
      - 80*m1 *m2 *n1 *n2  *n3 *r483 - 14*m1 *m2 *n1  *n2 *r496

             6   5   25      2              6   5   23   5
      + 21*m1 *m2 *n1  *n2*n3 *r496 + 139*m1 *m2 *n1  *n2 *r496

              6   5   23   3   2              6   5   23      4
      - 273*m1 *m2 *n1  *n2 *n3 *r496 + 108*m1 *m2 *n1  *n2*n3 *r496

              6   5   21   7              6   5   21   5   2
      + 230*m1 *m2 *n1  *n2 *r496 + 206*m1 *m2 *n1  *n2 *n3 *r496

              6   5   21   3   4              6   5   19   9
      - 526*m1 *m2 *n1  *n2 *n3 *r496 - 998*m1 *m2 *n1  *n2 *r496

               6   5   19   7   2              6   5   19   5   4
      + 2165*m1 *m2 *n1  *n2 *n3 *r496 - 826*m1 *m2 *n1  *n2 *n3 *r496

               6   5   17   11               6   5   17   9   2
      - 2025*m1 *m2 *n1  *n2  *r496 - 1013*m1 *m2 *n1  *n2 *n3 *r496

               6   5   17   7   4              6   5   15   13
      + 2164*m1 *m2 *n1  *n2 *n3 *r496 + 786*m1 *m2 *n1  *n2  *r496

               6   5   15   11   2               6   5   15   9   4
      - 8194*m1 *m2 *n1  *n2  *n3 *r496 + 1040*m1 *m2 *n1  *n2 *n3 *r496

               6   5   13   15               6   5   13   13   2
      + 3864*m1 *m2 *n1  *n2  *r496 - 3668*m1 *m2 *n1  *n2  *n3 *r496

               6   5   13   11   4               6   5   11   17
      - 6692*m1 *m2 *n1  *n2  *n3 *r496 + 1680*m1 *m2 *n1  *n2  *r496

               6   5   11   15   2               6   5   11   13   4
      + 7826*m1 *m2 *n1  *n2  *n3 *r496 - 4396*m1 *m2 *n1  *n2  *n3 *r496

               6   5   9   19               6   5   9   17   2
      - 1548*m1 *m2 *n1 *n2  *r496 + 7315*m1 *m2 *n1 *n2  *n3 *r496

               6   5   9   15   4               6   5   7   21
      + 5344*m1 *m2 *n1 *n2  *n3 *r496 - 1205*m1 *m2 *n1 *n2  *r496

              6   5   7   19   2               6   5   7   17   4
      + 227*m1 *m2 *n1 *n2  *n3 *r496 + 4724*m1 *m2 *n1 *n2  *n3 *r496

             6   5   5   23               6   5   5   21   2
      + 10*m1 *m2 *n1 *n2  *r496 - 1370*m1 *m2 *n1 *n2  *n3 *r496

              6   5   5   19   4              6   5   3   25
      - 350*m1 *m2 *n1 *n2  *n3 *r496 + 110*m1 *m2 *n1 *n2  *r496

              6   5   3   23   2              6   5   3   21   4
      - 215*m1 *m2 *n1 *n2  *n3 *r496 - 650*m1 *m2 *n1 *n2  *n3 *r496

            6   5      27             6   5      25   2
      - 5*m1 *m2 *n1*n2  *r496 + 45*m1 *m2 *n1*n2  *n3 *r496

             6   5      23   4            6   4   26   3
      + 60*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1  *n2 *r483

            6   4   26      2             6   4   24   5
      + 6*m1 *m2 *n1  *n2*n3 *r483 + 32*m1 *m2 *n1  *n2 *r483

              6   4   24   3   2             6   4   24      4
      - 112*m1 *m2 *n1  *n2 *n3 *r483 + 32*m1 *m2 *n1  *n2*n3 *r483

              6   4   22   7              6   4   22   5   2
      + 208*m1 *m2 *n1  *n2 *r483 - 164*m1 *m2 *n1  *n2 *n3 *r483

              6   4   22   3   4              6   4   20   9
      - 188*m1 *m2 *n1  *n2 *n3 *r483 + 128*m1 *m2 *n1  *n2 *r483

              6   4   20   7   2              6   4   20   5   4
      + 912*m1 *m2 *n1  *n2 *n3 *r483 - 672*m1 *m2 *n1  *n2 *n3 *r483

              6   4   18   11               6   4   18   9   2
      - 648*m1 *m2 *n1  *n2  *r483 + 2118*m1 *m2 *n1  *n2 *n3 *r483

              6   4   18   7   4               6   4   16   13
      + 468*m1 *m2 *n1  *n2 *n3 *r483 - 1056*m1 *m2 *n1  *n2  *r483

             6   4   16   11   2               6   4   16   9   4
      + 96*m1 *m2 *n1  *n2  *n3 *r483 + 2880*m1 *m2 *n1  *n2 *n3 *r483

               6   4   14   13   2               6   4   14   11   4
      - 3192*m1 *m2 *n1  *n2  *n3 *r483 + 1512*m1 *m2 *n1  *n2  *n3 *r483

               6   4   12   17               6   4   12   15   2
      + 1056*m1 *m2 *n1  *n2  *r483 - 2304*m1 *m2 *n1  *n2  *n3 *r483

               6   4   12   13   4              6   4   10   19
      - 2688*m1 *m2 *n1  *n2  *n3 *r483 + 648*m1 *m2 *n1  *n2  *r483

              6   4   10   17   2               6   4   10   15   4
      + 882*m1 *m2 *n1  *n2  *n3 *r483 - 2712*m1 *m2 *n1  *n2  *n3 *r483

              6   4   8   21               6   4   8   19   2
      - 128*m1 *m2 *n1 *n2  *r483 + 1488*m1 *m2 *n1 *n2  *n3 *r483

              6   4   8   17   4              6   4   6   23
      + 288*m1 *m2 *n1 *n2  *n3 *r483 - 208*m1 *m2 *n1 *n2  *r483

              6   4   6   21   2              6   4   6   19   4
      + 380*m1 *m2 *n1 *n2  *n3 *r483 + 980*m1 *m2 *n1 *n2  *n3 *r483

             6   4   4   25             6   4   4   23   2
      - 32*m1 *m2 *n1 *n2  *r483 - 80*m1 *m2 *n1 *n2  *n3 *r483

              6   4   4   21   4            6   4   2   27
      + 160*m1 *m2 *n1 *n2  *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

             6   4   2   25   2             6   4   2   23   4
      - 30*m1 *m2 *n1 *n2  *n3 *r483 - 60*m1 *m2 *n1 *n2  *n3 *r483

            5   6   26   2              5   6   24   4
      + 7*m1 *m2 *n1  *n2 *r496 - 106*m1 *m2 *n1  *n2 *r496

              5   6   24   2   2             5   6   22   6
      + 141*m1 *m2 *n1  *n2 *n3 *r496 - 22*m1 *m2 *n1  *n2 *r496

              5   6   22   4   2              5   6   22   2   4
      - 585*m1 *m2 *n1  *n2 *n3 *r496 + 354*m1 *m2 *n1  *n2 *n3 *r496

               5   6   20   8               5   6   20   6   2
      + 1011*m1 *m2 *n1  *n2 *r496 - 1723*m1 *m2 *n1  *n2 *n3 *r496

              5   6   20   4   4              5   6   18   10
      - 496*m1 *m2 *n1  *n2 *n3 *r496 + 936*m1 *m2 *n1  *n2  *r496

               5   6   18   8   2               5   6   18   6   4
      + 1781*m1 *m2 *n1  *n2 *n3 *r496 - 3052*m1 *m2 *n1  *n2 *n3 *r496

               5   6   16   12               5   6   16   10   2
      - 2112*m1 *m2 *n1  *n2  *r496 + 4874*m1 *m2 *n1  *n2  *n3 *r496

              5   6   16   8   4               5   6   14   14
      - 274*m1 *m2 *n1  *n2 *n3 *r496 - 2856*m1 *m2 *n1  *n2  *r496

               5   6   14   12   2               5   6   14   10   4
      - 3056*m1 *m2 *n1  *n2  *n3 *r496 + 4504*m1 *m2 *n1  *n2  *n3 *r496

               5   6   12   16               5   6   12   14   2
      + 1218*m1 *m2 *n1  *n2  *r496 - 9016*m1 *m2 *n1  *n2  *n3 *r496

               5   6   12   12   4               5   6   10   18
      - 1204*m1 *m2 *n1  *n2  *n3 *r496 + 3051*m1 *m2 *n1  *n2  *r496

               5   6   10   16   2               5   6   10   14   4
      - 1028*m1 *m2 *n1  *n2  *n3 *r496 - 6356*m1 *m2 *n1  *n2  *n3 *r496

              5   6   8   20               5   6   8   18   2
      + 706*m1 *m2 *n1 *n2  *r496 + 5351*m1 *m2 *n1 *n2  *n3 *r496

              5   6   8   16   4              5   6   6   22
      - 472*m1 *m2 *n1 *n2  *n3 *r496 - 634*m1 *m2 *n1 *n2  *r496

               5   6   6   20   2               5   6   6   18   4
      + 2449*m1 *m2 *n1 *n2  *n3 *r496 + 3046*m1 *m2 *n1 *n2  *n3 *r496

              5   6   4   24              5   6   4   22   2
      - 205*m1 *m2 *n1 *n2  *r496 - 277*m1 *m2 *n1 *n2  *n3 *r496

              5   6   4   20   4             5   6   2   26
      + 644*m1 *m2 *n1 *n2  *n3 *r496 + 30*m1 *m2 *n1 *n2  *r496

              5   6   2   24   2              5   6   2   22   4
      - 201*m1 *m2 *n1 *n2  *n3 *r496 - 288*m1 *m2 *n1 *n2  *n3 *r496

             5   6   26   2             5   6   24   4
      + 10*m1 *m2 *n2  *n3 *r496 + 10*m1 *m2 *n2  *n3 *r496

            5   5   27   2             5   5   25   4
      + 2*m1 *m2 *n1  *n2 *r483 - 38*m1 *m2 *n1  *n2 *r483

             5   5   25   2   2             5   5   23   6
      + 42*m1 *m2 *n1  *n2 *n3 *r483 - 72*m1 *m2 *n1  *n2 *r483

              5   5   23   4   2              5   5   23   2   4
      - 192*m1 *m2 *n1  *n2 *n3 *r483 + 108*m1 *m2 *n1  *n2 *n3 *r483

              5   5   21   8              5   5   21   6   2
      + 328*m1 *m2 *n1  *n2 *r483 - 972*m1 *m2 *n1  *n2 *n3 *r483

              5   5   21   4   4              5   5   19   10
      - 120*m1 *m2 *n1  *n2 *n3 *r483 + 950*m1 *m2 *n1  *n2  *r483

              5   5   19   8   2               5   5   19   6   4
      - 168*m1 *m2 *n1  *n2 *n3 *r483 - 1428*m1 *m2 *n1  *n2 *n3 *r483

              5   5   17   12               5   5   17   10   2
      + 270*m1 *m2 *n1  *n2  *r483 + 3282*m1 *m2 *n1  *n2  *n3 *r483

               5   5   17   8   4               5   5   15   14
      - 1224*m1 *m2 *n1  *n2 *n3 *r483 - 1440*m1 *m2 *n1  *n2  *r483

               5   5   15   12   2               5   5   15   10   4
      + 3720*m1 *m2 *n1  *n2  *n3 *r483 + 2664*m1 *m2 *n1  *n2  *n3 *r483

               5   5   13   16               5   5   13   14   2
      - 1440*m1 *m2 *n1  *n2  *r483 - 1344*m1 *m2 *n1  *n2  *n3 *r483

               5   5   13   12   4              5   5   11   18
      + 4032*m1 *m2 *n1  *n2  *n3 *r483 + 270*m1 *m2 *n1  *n2  *r483

               5   5   11   16   2              5   5   11   14   4
      - 4200*m1 *m2 *n1  *n2  *n3 *r483 - 504*m1 *m2 *n1  *n2  *n3 *r483

              5   5   9   20               5   5   9   18   2
      + 950*m1 *m2 *n1 *n2  *r483 - 1578*m1 *m2 *n1 *n2  *n3 *r483

               5   5   9   16   4              5   5   7   22
      - 3168*m1 *m2 *n1 *n2  *n3 *r483 + 328*m1 *m2 *n1 *n2  *r483

              5   5   7   20   2               5   5   7   18   4
      + 792*m1 *m2 *n1 *n2  *n3 *r483 - 1044*m1 *m2 *n1 *n2  *n3 *r483

             5   5   5   24              5   5   5   22   2
      - 72*m1 *m2 *n1 *n2  *r483 + 588*m1 *m2 *n1 *n2  *n3 *r483

              5   5   5   20   4             5   5   3   26
      + 504*m1 *m2 *n1 *n2  *n3 *r483 - 38*m1 *m2 *n1 *n2  *r483

             5   5   3   24   2              5   5   3   22   4
      + 48*m1 *m2 *n1 *n2  *n3 *r483 + 204*m1 *m2 *n1 *n2  *n3 *r483

            5   5      28             5   5      26   2
      + 2*m1 *m2 *n1*n2  *r483 - 18*m1 *m2 *n1*n2  *n3 *r483

             5   5      24   4             4   7   25   3
      - 24*m1 *m2 *n1*n2  *n3 *r483 + 40*m1 *m2 *n1  *n2 *r496

              4   7   23   5              4   7   23   3   2
      - 160*m1 *m2 *n1  *n2 *r496 + 390*m1 *m2 *n1  *n2 *n3 *r496

              4   7   21   7              4   7   21   5   2
      - 700*m1 *m2 *n1  *n2 *r496 - 125*m1 *m2 *n1  *n2 *n3 *r496

              4   7   21   3   4              4   7   19   9
      + 640*m1 *m2 *n1  *n2 *n3 *r496 + 191*m1 *m2 *n1  *n2 *r496

               4   7   19   7   2              4   7   19   5   4
      - 3564*m1 *m2 *n1  *n2 *n3 *r496 + 426*m1 *m2 *n1  *n2 *n3 *r496

               4   7   17   11               4   7   17   9   2
      + 2391*m1 *m2 *n1  *n2  *r496 - 3445*m1 *m2 *n1  *n2 *n3 *r496

               4   7   17   7   4               4   7   15   13
      - 3598*m1 *m2 *n1  *n2 *n3 *r496 + 1308*m1 *m2 *n1  *n2  *r496

               4   7   15   11   2               4   7   15   9   4
      + 3868*m1 *m2 *n1  *n2  *n3 *r496 - 4520*m1 *m2 *n1  *n2 *n3 *r496

               4   7   13   15               4   7   13   13   2
      - 2268*m1 *m2 *n1  *n2  *r496 + 4670*m1 *m2 *n1  *n2  *n3 *r496

               4   7   13   11   4               4   7   11   17
      + 2168*m1 *m2 *n1  *n2  *n3 *r496 - 2046*m1 *m2 *n1  *n2  *r496

               4   7   11   15   2               4   7   11   13   4
      - 3464*m1 *m2 *n1  *n2  *n3 *r496 + 3484*m1 *m2 *n1  *n2  *n3 *r496

              4   7   9   19               4   7   9   17   2
      + 666*m1 *m2 *n1 *n2  *r496 - 4954*m1 *m2 *n1 *n2  *n3 *r496

               4   7   9   15   4               4   7   7   21
      - 2164*m1 *m2 *n1 *n2  *n3 *r496 + 1036*m1 *m2 *n1 *n2  *r496

             4   7   7   19   2               4   7   7   17   4
      - 50*m1 *m2 *n1 *n2  *n3 *r496 - 2408*m1 *m2 *n1 *n2  *n3 *r496

              4   7   5   23               4   7   5   21   2
      + 128*m1 *m2 *n1 *n2  *r496 + 1343*m1 *m2 *n1 *n2  *n3 *r496

              4   7   5   19   4             4   7   3   25
      + 440*m1 *m2 *n1 *n2  *n3 *r496 - 73*m1 *m2 *n1 *n2  *r496

              4   7   3   23   2              4   7   3   21   4
      + 260*m1 *m2 *n1 *n2  *n3 *r496 + 458*m1 *m2 *n1 *n2  *n3 *r496

          4   7      27             4   7      25   2
      - m1 *m2 *n1*n2  *r496 - 49*m1 *m2 *n1*n2  *n3 *r496

             4   7      23   4             4   6   26   3
      - 46*m1 *m2 *n1*n2  *n3 *r496 + 12*m1 *m2 *n1  *n2 *r483

             4   6   24   5              4   6   24   3   2
      - 48*m1 *m2 *n1  *n2 *r483 + 120*m1 *m2 *n1  *n2 *n3 *r483

              4   6   22   7             4   6   22   5   2
      - 312*m1 *m2 *n1  *n2 *r483 + 20*m1 *m2 *n1  *n2 *n3 *r483

              4   6   22   3   4              4   6   20   9
      + 200*m1 *m2 *n1  *n2 *n3 *r483 - 192*m1 *m2 *n1  *n2 *r483

               4   6   20   7   2              4   6   20   5   4
      - 1420*m1 *m2 *n1  *n2 *n3 *r483 + 260*m1 *m2 *n1  *n2 *n3 *r483

              4   6   18   11               4   6   18   9   2
      + 972*m1 *m2 *n1  *n2  *r483 - 2452*m1 *m2 *n1  *n2 *n3 *r483

               4   6   18   7   4               4   6   16   13
      - 1288*m1 *m2 *n1  *n2 *n3 *r483 + 1584*m1 *m2 *n1  *n2  *r483

              4   6   16   11   2               4   6   16   9   4
      + 852*m1 *m2 *n1  *n2  *n3 *r483 - 2724*m1 *m2 *n1  *n2 *n3 *r483

               4   6   14   13   2              4   6   14   11   4
      + 4896*m1 *m2 *n1  *n2  *n3 *r483 + 192*m1 *m2 *n1  *n2  *n3 *r483

               4   6   12   17               4   6   12   15   2
      - 1584*m1 *m2 *n1  *n2  *r483 + 2688*m1 *m2 *n1  *n2  *n3 *r483

               4   6   12   13   4              4   6   10   19
      + 3864*m1 *m2 *n1  *n2  *n3 *r483 - 972*m1 *m2 *n1  *n2  *r483

               4   6   10   17   2               4   6   10   15   4
      - 2064*m1 *m2 *n1  *n2  *n3 *r483 + 2016*m1 *m2 *n1  *n2  *n3 *r483

              4   6   8   21               4   6   8   19   2
      + 192*m1 *m2 *n1 *n2  *r483 - 2472*m1 *m2 *n1 *n2  *n3 *r483

               4   6   8   17   4              4   6   6   23
      - 1368*m1 *m2 *n1 *n2  *n3 *r483 + 312*m1 *m2 *n1 *n2  *r483

              4   6   6   21   2               4   6   6   19   4
      - 468*m1 *m2 *n1 *n2  *n3 *r483 - 1224*m1 *m2 *n1 *n2  *n3 *r483

             4   6   4   25              4   6   4   23   2
      + 48*m1 *m2 *n1 *n2  *r483 + 236*m1 *m2 *n1 *n2  *n3 *r483

             4   6   4   21   4             4   6   2   27
      - 28*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1 *n2  *r483

             4   6   2   25   2              4   6   2   23   4
      + 68*m1 *m2 *n1 *n2  *n3 *r483 + 104*m1 *m2 *n1 *n2  *n3 *r483

            4   6   27   2            4   6   25   4
      - 4*m1 *m2 *n2  *n3 *r483 - 4*m1 *m2 *n2  *n3 *r483

             3   8   24   4             3   8   22   6
      + 90*m1 *m2 *n1  *n2 *r496 + 35*m1 *m2 *n1  *n2 *r496

              3   8   22   4   2              3   8   20   8
      + 570*m1 *m2 *n1  *n2 *n3 *r496 - 885*m1 *m2 *n1  *n2 *r496

               3   8   20   6   2              3   8   20   4   4
      + 1059*m1 *m2 *n1  *n2 *n3 *r496 + 690*m1 *m2 *n1  *n2 *n3 *r496

               3   8   18   10               3   8   18   8   2
      - 1470*m1 *m2 *n1  *n2  *r496 - 2111*m1 *m2 *n1  *n2 *n3 *r496

               3   8   18   6   4              3   8   16   12
      + 1408*m1 *m2 *n1  *n2 *n3 *r496 + 456*m1 *m2 *n1  *n2  *r496

               3   8   16   10   2               3   8   16   8   4
      - 6191*m1 *m2 *n1  *n2  *n3 *r496 - 1484*m1 *m2 *n1  *n2 *n3 *r496

               3   8   14   14               3   8   14   12   2
      + 2322*m1 *m2 *n1  *n2  *r496 - 2611*m1 *m2 *n1  *n2  *n3 *r496

               3   8   14   10   4              3   8   12   16
      - 5050*m1 *m2 *n1  *n2  *n3 *r496 + 786*m1 *m2 *n1  *n2  *r496

               3   8   12   14   2               3   8   12   12   4
      + 3697*m1 *m2 *n1  *n2  *n3 *r496 - 1946*m1 *m2 *n1  *n2  *n3 *r496

               3   8   10   18               3   8   10   16   2
      - 1200*m1 *m2 *n1  *n2  *r496 + 2471*m1 *m2 *n1  *n2  *n3 *r496

               3   8   10   14   4              3   8   8   20
      + 2462*m1 *m2 *n1  *n2  *n3 *r496 - 810*m1 *m2 *n1 *n2  *r496

               3   8   8   18   2               3   8   8   16   4
      - 1391*m1 *m2 *n1 *n2  *n3 *r496 + 1138*m1 *m2 *n1 *n2  *n3 *r496

             3   8   6   22               3   8   6   20   2
      + 51*m1 *m2 *n1 *n2  *r496 - 1291*m1 *m2 *n1 *n2  *n3 *r496

              3   8   6   18   4              3   8   4   24
      - 814*m1 *m2 *n1 *n2  *n3 *r496 + 107*m1 *m2 *n1 *n2  *r496

             3   8   4   22   2              3   8   4   20   4
      - 56*m1 *m2 *n1 *n2  *n3 *r496 - 320*m1 *m2 *n1 *n2  *n3 *r496

            3   8   2   26             3   8   2   24   2
      + 6*m1 *m2 *n1 *n2  *r496 + 92*m1 *m2 *n1 *n2  *n3 *r496

             3   8   2   22   4            3   8   26   2
      + 74*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n2  *n3 *r496

            3   8   24   4             3   7   25   4
      + 2*m1 *m2 *n2  *n3 *r496 + 28*m1 *m2 *n1  *n2 *r483

             3   7   23   6              3   7   23   4   2
      + 28*m1 *m2 *n1  *n2 *r483 + 180*m1 *m2 *n1  *n2 *n3 *r483

              3   7   21   8              3   7   21   6   2
      - 308*m1 *m2 *n1  *n2 *r483 + 460*m1 *m2 *n1  *n2 *n3 *r483

              3   7   21   4   4              3   7   19   10
      + 220*m1 *m2 *n1  *n2 *n3 *r483 - 756*m1 *m2 *n1  *n2  *r483

              3   7   19   8   2              3   7   19   6   4
      - 556*m1 *m2 *n1  *n2 *n3 *r483 + 608*m1 *m2 *n1  *n2 *n3 *r483

              3   7   17   12               3   7   17   10   2
      - 168*m1 *m2 *n1  *n2  *r483 - 2796*m1 *m2 *n1  *n2  *n3 *r483

              3   7   17   8   4               3   7   15   14
      - 252*m1 *m2 *n1  *n2 *n3 *r483 + 1176*m1 *m2 *n1  *n2  *r483

               3   7   15   12   2               3   7   15   10   4
      - 2184*m1 *m2 *n1  *n2  *n3 *r483 - 2208*m1 *m2 *n1  *n2  *n3 *r483

               3   7   13   16               3   7   13   14   2
      + 1176*m1 *m2 *n1  *n2  *r483 + 1896*m1 *m2 *n1  *n2  *n3 *r483

               3   7   13   12   4              3   7   11   18
      - 1608*m1 *m2 *n1  *n2  *n3 *r483 - 168*m1 *m2 *n1  *n2  *r483

               3   7   11   16   2               3   7   11   14   4
      + 3480*m1 *m2 *n1  *n2  *n3 *r483 + 1440*m1 *m2 *n1  *n2  *n3 *r483

              3   7   9   20              3   7   9   18   2
      - 756*m1 *m2 *n1 *n2  *r483 + 984*m1 *m2 *n1 *n2  *n3 *r483

               3   7   9   16   4              3   7   7   22
      + 2088*m1 *m2 *n1 *n2  *n3 *r483 - 308*m1 *m2 *n1 *n2  *r483

              3   7   7   20   2              3   7   7   18   4
      - 876*m1 *m2 *n1 *n2  *n3 *r483 + 288*m1 *m2 *n1 *n2  *n3 *r483

             3   7   5   24              3   7   5   22   2
      + 28*m1 *m2 *n1 *n2  *r483 - 564*m1 *m2 *n1 *n2  *n3 *r483

              3   7   5   20   4             3   7   3   26
      - 468*m1 *m2 *n1 *n2  *n3 *r483 + 28*m1 *m2 *n1 *n2  *r483

             3   7   3   24   2              3   7   3   22   4
      - 44*m1 *m2 *n1 *n2  *n3 *r483 - 128*m1 *m2 *n1 *n2  *n3 *r483

             3   7      26   2             3   7      24   4
      + 20*m1 *m2 *n1*n2  *n3 *r483 + 20*m1 *m2 *n1*n2  *n3 *r483

              2   9   23   5              2   9   21   7
      + 100*m1 *m2 *n1  *n2 *r496 + 278*m1 *m2 *n1  *n2 *r496

              2   9   21   5   2              2   9   19   9
      + 465*m1 *m2 *n1  *n2 *n3 *r496 - 165*m1 *m2 *n1  *n2 *r496

               2   9   19   7   2              2   9   19   5   4
      + 1521*m1 *m2 *n1  *n2 *n3 *r496 + 444*m1 *m2 *n1  *n2 *n3 *r496

               2   9   17   11              2   9   17   9   2
      - 1272*m1 *m2 *n1  *n2  *r496 + 622*m1 *m2 *n1  *n2 *n3 *r496

               2   9   17   7   4               2   9   15   13
      + 1342*m1 *m2 *n1  *n2 *n3 *r496 - 1212*m1 *m2 *n1  *n2  *r496

               2   9   15   11   2              2   9   15   9   4
      - 3104*m1 *m2 *n1  *n2  *n3 *r496 + 472*m1 *m2 *n1  *n2 *n3 *r496

              2   9   13   15               2   9   13   13   2
      + 372*m1 *m2 *n1  *n2  *r496 - 4230*m1 *m2 *n1  *n2  *n3 *r496

               2   9   13   11   4               2   9   11   17
      - 2256*m1 *m2 *n1  *n2  *n3 *r496 + 1098*m1 *m2 *n1  *n2  *r496

              2   9   11   15   2               2   9   11   13   4
      - 710*m1 *m2 *n1  *n2  *n3 *r496 - 2480*m1 *m2 *n1  *n2  *n3 *r496

              2   9   9   19               2   9   9   17   2
      + 360*m1 *m2 *n1 *n2  *r496 + 1716*m1 *m2 *n1 *n2  *n3 *r496

             2   9   9   15   4              2   9   7   21
      - 36*m1 *m2 *n1 *n2  *n3 *r496 - 192*m1 *m2 *n1 *n2  *r496

              2   9   7   19   2              2   9   7   17   4
      + 872*m1 *m2 *n1 *n2  *n3 *r496 + 872*m1 *m2 *n1 *n2  *n3 *r496

              2   9   5   23             2   9   5   21   2
      - 122*m1 *m2 *n1 *n2  *r496 - 99*m1 *m2 *n1 *n2  *n3 *r496

              2   9   5   19   4             2   9   3   25
      + 192*m1 *m2 *n1 *n2  *n3 *r496 - 13*m1 *m2 *n1 *n2  *r496

              2   9   3   23   2             2   9   3   21   4
      - 115*m1 *m2 *n1 *n2  *n3 *r496 - 76*m1 *m2 *n1 *n2  *n3 *r496

             2   9      25   2             2   9      23   4
      - 10*m1 *m2 *n1*n2  *n3 *r496 - 10*m1 *m2 *n1*n2  *n3 *r496

             2   8   24   5              2   8   22   7
      + 32*m1 *m2 *n1  *n2 *r483 + 112*m1 *m2 *n1  *n2 *r483

              2   8   22   5   2              2   8   20   7   2
      + 150*m1 *m2 *n1  *n2 *n3 *r483 + 600*m1 *m2 *n1  *n2 *n3 *r483

              2   8   20   5   4              2   8   18   11
      + 144*m1 *m2 *n1  *n2 *n3 *r483 - 480*m1 *m2 *n1  *n2  *r483

              2   8   18   9   2              2   8   18   7   4
      + 516*m1 *m2 *n1  *n2 *n3 *r483 + 540*m1 *m2 *n1  *n2 *n3 *r483

              2   8   16   13              2   8   16   11   2
      - 672*m1 *m2 *n1  *n2  *r483 - 984*m1 *m2 *n1  *n2  *n3 *r483

              2   8   16   9   4               2   8   14   13   2
      + 432*m1 *m2 *n1  *n2 *n3 *r483 - 2076*m1 *m2 *n1  *n2  *n3 *r483

              2   8   14   11   4              2   8   12   17
      - 720*m1 *m2 *n1  *n2  *n3 *r483 + 672*m1 *m2 *n1  *n2  *r483

              2   8   12   15   2               2   8   12   13   4
      - 696*m1 *m2 *n1  *n2  *n3 *r483 - 1296*m1 *m2 *n1  *n2  *n3 *r483

              2   8   10   19               2   8   10   17   2
      + 480*m1 *m2 *n1  *n2  *r483 + 1200*m1 *m2 *n1  *n2  *n3 *r483

              2   8   10   15   4               2   8   8   19   2
      - 216*m1 *m2 *n1  *n2  *n3 *r483 + 1176*m1 *m2 *n1 *n2  *n3 *r483

              2   8   8   17   4              2   8   6   23
      + 720*m1 *m2 *n1 *n2  *n3 *r483 - 112*m1 *m2 *n1 *n2  *r483

              2   8   6   21   2              2   8   6   19   4
      + 246*m1 *m2 *n1 *n2  *n3 *r483 + 432*m1 *m2 *n1 *n2  *n3 *r483

             2   8   4   25             2   8   4   23   2
      - 32*m1 *m2 *n1 *n2  *r483 - 96*m1 *m2 *n1 *n2  *n3 *r483

             2   8   2   25   2             2   8   2   23   4
      - 36*m1 *m2 *n1 *n2  *n3 *r483 - 36*m1 *m2 *n1 *n2  *n3 *r483

                10   22   6                 10   20   8
      + 55*m1*m2  *n1  *n2 *r496 + 236*m1*m2  *n1  *n2 *r496

                 10   20   6   2                 10   18   10
      + 201*m1*m2  *n1  *n2 *n3 *r496 + 284*m1*m2  *n1  *n2  *r496

                 10   18   8   2                 10   18   6   4
      + 857*m1*m2  *n1  *n2 *n3 *r496 + 158*m1*m2  *n1  *n2 *n3 *r496

                 10   16   12                  10   16   10   2
      - 160*m1*m2  *n1  *n2  *r496 + 1131*m1*m2  *n1  *n2  *n3 *r496

                 10   16   8   4                 10   14   14
      + 594*m1*m2  *n1  *n2 *n3 *r496 - 638*m1*m2  *n1  *n2  *r496

                 10   14   12   2                 10   14   10   4
      - 115*m1*m2  *n1  *n2  *n3 *r496 + 614*m1*m2  *n1  *n2  *n3 *r496

                 10   12   16                  10   12   14   2
      - 440*m1*m2  *n1  *n2  *r496 - 1599*m1*m2  *n1  *n2  *n3 *r496

                 10   12   12   4                10   10   18
      - 294*m1*m2  *n1  *n2  *n3 *r496 + 76*m1*m2  *n1  *n2  *r496

                  10   10   16   2                 10   10   14   4
      - 1349*m1*m2  *n1  *n2  *n3 *r496 - 950*m1*m2  *n1  *n2  *n3 *r496

                 10   8   20                 10   8   18   2
      + 224*m1*m2  *n1 *n2  *r496 - 183*m1*m2  *n1 *n2  *n3 *r496

                 10   8   16   4                10   6   22
      - 522*m1*m2  *n1 *n2  *n3 *r496 + 95*m1*m2  *n1 *n2  *r496

                 10   6   20   2                10   6   18   4
      + 271*m1*m2  *n1 *n2  *n3 *r496 + 34*m1*m2  *n1 *n2  *n3 *r496

                10   4   24                 10   4   22   2
      + 12*m1*m2  *n1 *n2  *r496 + 130*m1*m2  *n1 *n2  *n3 *r496

                10   4   20   4                10   2   24   2
      + 94*m1*m2  *n1 *n2  *n3 *r496 + 16*m1*m2  *n1 *n2  *n3 *r496

                10   2   22   4                9   23   6
      + 16*m1*m2  *n1 *n2  *n3 *r496 + 18*m1*m2 *n1  *n2 *r483

                9   21   8                9   21   6   2
      + 90*m1*m2 *n1  *n2 *r483 + 66*m1*m2 *n1  *n2 *n3 *r483

                 9   19   10                 9   19   8   2
      + 144*m1*m2 *n1  *n2  *r483 + 328*m1*m2 *n1  *n2 *n3 *r483

                9   19   6   4                 9   17   10   2
      + 52*m1*m2 *n1  *n2 *n3 *r483 + 556*m1*m2 *n1  *n2  *n3 *r483

                 9   17   8   4                 9   15   14
      + 232*m1*m2 *n1  *n2 *n3 *r483 - 252*m1*m2 *n1  *n2  *r483

                 9   15   12   2                 9   15   10   4
      + 172*m1*m2 *n1  *n2  *n3 *r483 + 328*m1*m2 *n1  *n2  *n3 *r483

                 9   13   16                 9   13   14   2
      - 252*m1*m2 *n1  *n2  *r483 - 592*m1*m2 *n1  *n2  *n3 *r483

               9   13   12   4                 9   11   16   2
      + 8*m1*m2 *n1  *n2  *n3 *r483 - 724*m1*m2 *n1  *n2  *n3 *r483

                 9   11   14   4                 9   9   20
      - 400*m1*m2 *n1  *n2  *n3 *r483 + 144*m1*m2 *n1 *n2  *r483

                 9   9   18   2                 9   9   16   4
      - 172*m1*m2 *n1 *n2  *n3 *r483 - 328*m1*m2 *n1 *n2  *n3 *r483

                9   7   22                 9   7   20   2
      + 90*m1*m2 *n1 *n2  *r483 + 196*m1*m2 *n1 *n2  *n3 *r483

               9   7   18   4                9   5   24
      - 8*m1*m2 *n1 *n2  *n3 *r483 + 18*m1*m2 *n1 *n2  *r483

                 9   5   22   2                9   5   20   4
      + 142*m1*m2 *n1 *n2  *n3 *r483 + 88*m1*m2 *n1 *n2  *n3 *r483

                9   3   24   2                9   3   22   4
      + 28*m1*m2 *n1 *n2  *n3 *r483 + 28*m1*m2 *n1 *n2  *n3 *r483

             11   21   7             11   19   9
      + 12*m2  *n1  *n2 *r496 + 64*m2  *n1  *n2 *r496

             11   19   7   2              11   17   11
      + 36*m2  *n1  *n2 *n3 *r496 + 128*m2  *n1  *n2  *r496

              11   17   9   2             11   17   7   4
      + 180*m2  *n1  *n2 *n3 *r496 + 24*m2  *n1  *n2 *n3 *r496

             11   15   13              11   15   11   2
      + 96*m2  *n1  *n2  *r496 + 332*m2  *n1  *n2  *n3 *r496

              11   15   9   4             11   13   15
      + 104*m2  *n1  *n2 *n3 *r496 - 40*m2  *n1  *n2  *r496

              11   13   13   2              11   13   11   4
      + 212*m2  *n1  *n2  *n3 *r496 + 152*m2  *n1  *n2  *n3 *r496

              11   11   17              11   11   15   2
      - 128*m2  *n1  *n2  *r496 - 140*m2  *n1  *n2  *n3 *r496

             11   11   13   4             11   9   19
      + 40*m2  *n1  *n2  *n3 *r496 - 96*m2  *n1 *n2  *r496

              11   9   17   2              11   9   15   4
      - 324*m2  *n1 *n2  *n3 *r496 - 120*m2  *n1 *n2  *n3 *r496

             11   7   21              11   7   19   2
      - 32*m2  *n1 *n2  *r496 - 220*m2  *n1 *n2  *n3 *r496

              11   7   17   4            11   5   23
      - 136*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2  *r496

             11   5   21   2             11   5   19   4
      - 68*m2  *n1 *n2  *n3 *r496 - 56*m2  *n1 *n2  *n3 *r496

            11   3   23   2            11   3   21   4
      - 8*m2  *n1 *n2  *n3 *r496 - 8*m2  *n1 *n2  *n3 *r496

            10   22   7             10   20   9             10   20   7   2
      + 4*m2  *n1  *n2 *r483 + 24*m2  *n1  *n2 *r483 + 12*m2  *n1  *n2 *n3 *r483

             10   18   11             10   18   9   2
      + 56*m2  *n1  *n2  *r483 + 68*m2  *n1  *n2 *n3 *r483

            10   18   7   4             10   16   13
      + 8*m2  *n1  *n2 *n3 *r483 + 56*m2  *n1  *n2  *r483

              10   16   11   2             10   16   9   4
      + 148*m2  *n1  *n2  *n3 *r483 + 40*m2  *n1  *n2 *n3 *r483

              10   14   13   2             10   14   11   4
      + 132*m2  *n1  *n2  *n3 *r483 + 72*m2  *n1  *n2  *n3 *r483

             10   12   17             10   12   15   2
      - 56*m2  *n1  *n2  *r483 - 20*m2  *n1  *n2  *n3 *r483

             10   12   13   4             10   10   19
      + 40*m2  *n1  *n2  *n3 *r483 - 56*m2  *n1  *n2  *r483

              10   10   17   2             10   10   15   4
      - 148*m2  *n1  *n2  *n3 *r483 - 40*m2  *n1  *n2  *n3 *r483

             10   8   21              10   8   19   2
      - 24*m2  *n1 *n2  *r483 - 132*m2  *n1 *n2  *n3 *r483

             10   8   17   4            10   6   23
      - 72*m2  *n1 *n2  *n3 *r483 - 4*m2  *n1 *n2  *r483

             10   6   21   2             10   6   19   4
      - 52*m2  *n1 *n2  *n3 *r483 - 40*m2  *n1 *n2  *n3 *r483

            10   4   23   2            10   4   21   4
      - 8*m2  *n1 *n2  *n3 *r483 - 8*m2  *n1 *n2  *n3 *r483)/(

           9   22   5   2           9   22   3   4            9   20   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 24*a33*m1 *n1  *n2 *n3

               9   20   5   4            9   18   9   2
    - 48*a33*m1 *n1  *n2 *n3  + 56*a33*m1 *n1  *n2 *n3

                9   18   7   4            9   16   11   2
    - 112*a33*m1 *n1  *n2 *n3  + 56*a33*m1 *n1  *n2  *n3

                9   16   9   4            9   12   15   2
    - 112*a33*m1 *n1  *n2 *n3  - 56*a33*m1 *n1  *n2  *n3

                9   12   13   4            9   10   17   2
    + 112*a33*m1 *n1  *n2  *n3  - 56*a33*m1 *n1  *n2  *n3

                9   10   15   4            9   8   19   2
    + 112*a33*m1 *n1  *n2  *n3  - 24*a33*m1 *n1 *n2  *n3

               9   8   17   4           9   6   21   2           9   6   19   4
    + 48*a33*m1 *n1 *n2  *n3  - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2  *n3

              8      23   6            8      23   4   2
    + 4*a33*m1 *m2*n1  *n2  - 24*a33*m1 *m2*n1  *n2 *n3

               8      23   2   4            8      21   8
    + 24*a33*m1 *m2*n1  *n2 *n3  + 28*a33*m1 *m2*n1  *n2

                8      21   6   2            8      21   4   4
    - 132*a33*m1 *m2*n1  *n2 *n3  + 96*a33*m1 *m2*n1  *n2 *n3

               8      19   10             8      19   8   2
    + 80*a33*m1 *m2*n1  *n2   - 264*a33*m1 *m2*n1  *n2 *n3

               8      19   6   4             8      17   12
    + 48*a33*m1 *m2*n1  *n2 *n3  + 112*a33*m1 *m2*n1  *n2

                8      17   10   2             8      17   8   4
    - 168*a33*m1 *m2*n1  *n2  *n3  - 336*a33*m1 *m2*n1  *n2 *n3

               8      15   14             8      15   12   2
    + 56*a33*m1 *m2*n1  *n2   + 168*a33*m1 *m2*n1  *n2  *n3

                8      15   10   4            8      13   16
    - 672*a33*m1 *m2*n1  *n2  *n3  - 56*a33*m1 *m2*n1  *n2

                8      13   14   2             8      13   12   4
    + 336*a33*m1 *m2*n1  *n2  *n3  - 336*a33*m1 *m2*n1  *n2  *n3

                8      11   18             8      11   16   2
    - 112*a33*m1 *m2*n1  *n2   + 168*a33*m1 *m2*n1  *n2  *n3

                8      11   14   4            8      9   20
    + 336*a33*m1 *m2*n1  *n2  *n3  - 80*a33*m1 *m2*n1 *n2

               8      9   18   2             8      9   16   4
    - 24*a33*m1 *m2*n1 *n2  *n3  + 528*a33*m1 *m2*n1 *n2  *n3

               8      7   22            8      7   20   2
    - 28*a33*m1 *m2*n1 *n2   - 48*a33*m1 *m2*n1 *n2  *n3

                8      7   18   4           8      5   24
    + 264*a33*m1 *m2*n1 *n2  *n3  - 4*a33*m1 *m2*n1 *n2

               8      5   22   2            8      5   20   4
    - 12*a33*m1 *m2*n1 *n2  *n3  + 48*a33*m1 *m2*n1 *n2  *n3

               7   2   24   5            7   2   24   3   2
    - 16*a33*m1 *m2 *n1  *n2  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   24      4            7   2   22   7
    - 24*a33*m1 *m2 *n1  *n2*n3  - 96*a33*m1 *m2 *n1  *n2

                7   2   22   5   2             7   2   20   9
    + 192*a33*m1 *m2 *n1  *n2 *n3  - 208*a33*m1 *m2 *n1  *n2

               7   2   20   7   2             7   2   20   5   4
    + 96*a33*m1 *m2 *n1  *n2 *n3  + 408*a33*m1 *m2 *n1  *n2 *n3

                7   2   18   11             7   2   18   9   2
    - 128*a33*m1 *m2 *n1  *n2   - 672*a33*m1 *m2 *n1  *n2 *n3

                7   2   18   7   4             7   2   16   13
    + 960*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2

                 7   2   16   11   2             7   2   16   9   4
    - 1344*a33*m1 *m2 *n1  *n2  *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                7   2   14   15             7   2   14   13   2
    + 448*a33*m1 *m2 *n1  *n2   - 672*a33*m1 *m2 *n1  *n2  *n3

                 7   2   14   11   4             7   2   12   17
    - 1344*a33*m1 *m2 *n1  *n2  *n3  + 224*a33*m1 *m2 *n1  *n2

                7   2   12   15   2              7   2   12   13   4
    + 672*a33*m1 *m2 *n1  *n2  *n3  - 1680*a33*m1 *m2 *n1  *n2  *n3

                7   2   10   19              7   2   10   17   2
    - 128*a33*m1 *m2 *n1  *n2   + 1056*a33*m1 *m2 *n1  *n2  *n3

                7   2   10   15   4             7   2   8   21
    - 192*a33*m1 *m2 *n1  *n2  *n3  - 208*a33*m1 *m2 *n1 *n2

                7   2   8   19   2             7   2   8   17   4
    + 528*a33*m1 *m2 *n1 *n2  *n3  + 840*a33*m1 *m2 *n1 *n2  *n3

               7   2   6   23            7   2   6   21   2
    - 96*a33*m1 *m2 *n1 *n2   + 96*a33*m1 *m2 *n1 *n2  *n3

                7   2   6   19   4            7   2   4   25
    + 576*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1 *n2

                7   2   4   21   4            6   3   25   4
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2

               6   3   25   2   2           6   3   25   4
    - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                6   3   23   6            6   3   23   4   2
    + 104*a33*m1 *m2 *n1  *n2  - 24*a33*m1 *m2 *n1  *n2 *n3

               6   3   23   2   4            6   3   21   8
    - 96*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2

                6   3   21   6   2             6   3   21   4   4
    + 616*a33*m1 *m2 *n1  *n2 *n3  - 392*a33*m1 *m2 *n1  *n2 *n3

                6   3   19   10              6   3   19   8   2
    - 440*a33*m1 *m2 *n1  *n2   + 1704*a33*m1 *m2 *n1  *n2 *n3

               6   3   19   6   4             6   3   17   12
    + 96*a33*m1 *m2 *n1  *n2 *n3  - 976*a33*m1 *m2 *n1  *n2

                 6   3   17   10   2              6   3   17   8   4
    + 1104*a33*m1 *m2 *n1  *n2  *n3  + 2064*a33*m1 *m2 *n1  *n2 *n3

                6   3   15   14              6   3   15   12   2
    - 560*a33*m1 *m2 *n1  *n2   - 1680*a33*m1 *m2 *n1  *n2  *n3

                 6   3   15   10   4             6   3   13   16
    + 2688*a33*m1 *m2 *n1  *n2  *n3  + 560*a33*m1 *m2 *n1  *n2

                 6   3   13   14   2             6   3   13   12   4
    - 3024*a33*m1 *m2 *n1  *n2  *n3  - 336*a33*m1 *m2 *n1  *n2  *n3

                6   3   11   18              6   3   11   16   2
    + 976*a33*m1 *m2 *n1  *n2   - 1104*a33*m1 *m2 *n1  *n2  *n3

                 6   3   11   14   4             6   3   9   20
    - 3072*a33*m1 *m2 *n1  *n2  *n3  + 440*a33*m1 *m2 *n1 *n2

                6   3   9   18   2              6   3   9   16   4
    + 984*a33*m1 *m2 *n1 *n2  *n3  - 1944*a33*m1 *m2 *n1 *n2  *n3

               6   3   7   22              6   3   7   20   2
    - 56*a33*m1 *m2 *n1 *n2   + 1064*a33*m1 *m2 *n1 *n2  *n3

                6   3   7   18   4             6   3   5   24
    + 224*a33*m1 *m2 *n1 *n2  *n3  - 104*a33*m1 *m2 *n1 *n2

                6   3   5   22   2             6   3   5   20   4
    + 360*a33*m1 *m2 *n1 *n2  *n3  + 600*a33*m1 *m2 *n1 *n2  *n3

               6   3   3   26            6   3   3   24   2
    - 24*a33*m1 *m2 *n1 *n2   + 40*a33*m1 *m2 *n1 *n2  *n3

                6   3   3   22   4            5   4   26   3
    + 160*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               5   4   26      2            5   4   24   5
    + 12*a33*m1 *m2 *n1  *n2*n3  - 16*a33*m1 *m2 *n1  *n2

                5   4   24   3   2            5   4   24      4
    - 120*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2*n3

                5   4   22   7             5   4   22   5   2
    + 256*a33*m1 *m2 *n1  *n2  - 624*a33*m1 *m2 *n1  *n2 *n3

               5   4   22   3   4             5   4   20   9
    - 72*a33*m1 *m2 *n1  *n2 *n3  + 816*a33*m1 *m2 *n1  *n2

                5   4   20   7   2              5   4   20   5   4
    - 360*a33*m1 *m2 *n1  *n2 *n3  - 1008*a33*m1 *m2 *n1  *n2 *n3

                5   4   18   11              5   4   18   9   2
    + 656*a33*m1 *m2 *n1  *n2   + 2292*a33*m1 *m2 *n1  *n2 *n3

                 5   4   18   7   4             5   4   16   13
    - 1608*a33*m1 *m2 *n1  *n2 *n3  - 800*a33*m1 *m2 *n1  *n2

                 5   4   16   11   2             5   4   16   9   4
    + 4512*a33*m1 *m2 *n1  *n2  *n3  + 960*a33*m1 *m2 *n1  *n2 *n3

                 5   4   14   15              5   4   14   13   2
    - 1792*a33*m1 *m2 *n1  *n2   + 1680*a33*m1 *m2 *n1  *n2  *n3

                 5   4   14   11   4             5   4   12   17
    + 4368*a33*m1 *m2 *n1  *n2  *n3  - 800*a33*m1 *m2 *n1  *n2

                 5   4   12   15   2              5   4   12   13   4
    - 3264*a33*m1 *m2 *n1  *n2  *n3  + 2688*a33*m1 *m2 *n1  *n2  *n3

                5   4   10   19              5   4   10   17   2
    + 656*a33*m1 *m2 *n1  *n2   - 3900*a33*m1 *m2 *n1  *n2  *n3

                 5   4   10   15   4             5   4   8   21
    - 1968*a33*m1 *m2 *n1  *n2  *n3  + 816*a33*m1 *m2 *n1 *n2

                 5   4   8   19   2              5   4   8   17   4
    - 1128*a33*m1 *m2 *n1 *n2  *n3  - 2928*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   23             5   4   6   21   2
    + 256*a33*m1 *m2 *n1 *n2   + 480*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   19   4            5   4   4   25
    - 840*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1 *n2

                5   4   4   23   2             5   4   4   21   4
    + 360*a33*m1 *m2 *n1 *n2  *n3  + 240*a33*m1 *m2 *n1 *n2  *n3

               5   4   2   27            5   4   2   25   2
    - 16*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   2   23   4           4   5   27   2
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1  *n2

               4   5   25   4            4   5   25   2   2
    - 36*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

                4   5   23   6             4   5   23   2   4
    - 224*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                4   5   21   8              4   5   21   6   2
    - 224*a33*m1 *m2 *n1  *n2  - 1080*a33*m1 *m2 *n1  *n2 *n3

                4   5   21   4   4             4   5   19   10
    + 240*a33*m1 *m2 *n1  *n2 *n3  + 700*a33*m1 *m2 *n1  *n2

                 4   5   19   8   2             4   5   19   6   4
    - 2640*a33*m1 *m2 *n1  *n2 *n3  - 840*a33*m1 *m2 *n1  *n2 *n3

                 4   5   17   12             4   5   17   10   2
    + 1828*a33*m1 *m2 *n1  *n2   - 996*a33*m1 *m2 *n1  *n2  *n3

                 4   5   17   8   4              4   5   15   14
    - 2928*a33*m1 *m2 *n1  *n2 *n3  + 1088*a33*m1 *m2 *n1  *n2

                 4   5   15   12   2              4   5   15   10   4
    + 3984*a33*m1 *m2 *n1  *n2  *n3  - 1968*a33*m1 *m2 *n1  *n2  *n3

                 4   5   13   16              4   5   13   14   2
    - 1088*a33*m1 *m2 *n1  *n2   + 5376*a33*m1 *m2 *n1  *n2  *n3

                 4   5   13   12   4              4   5   11   18
    + 2688*a33*m1 *m2 *n1  *n2  *n3  - 1828*a33*m1 *m2 *n1  *n2

                4   5   11   16   2              4   5   11   14   4
    + 816*a33*m1 *m2 *n1  *n2  *n3  + 4368*a33*m1 *m2 *n1  *n2  *n3

                4   5   9   20              4   5   9   18   2
    - 700*a33*m1 *m2 *n1 *n2   - 2940*a33*m1 *m2 *n1 *n2  *n3

                4   5   9   16   4             4   5   7   22
    + 960*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2

                 4   5   7   20   2              4   5   7   18   4
    - 2256*a33*m1 *m2 *n1 *n2  *n3  - 1608*a33*m1 *m2 *n1 *n2  *n3

                4   5   5   24             4   5   5   22   2
    + 224*a33*m1 *m2 *n1 *n2   - 456*a33*m1 *m2 *n1 *n2  *n3

                 4   5   5   20   4            4   5   3   26
    - 1008*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2

               4   5   3   24   2            4   5   3   22   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 72*a33*m1 *m2 *n1 *n2  *n3

              4   5      28            4   5      26   2
    - 4*a33*m1 *m2 *n1*n2   + 36*a33*m1 *m2 *n1*n2  *n3

               4   5      24   4            3   6   26   3
    + 48*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1 *m2 *n1  *n2

               3   6   24   5             3   6   24   3   2
    + 16*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                3   6   22   7             3   6   22   5   2
    - 256*a33*m1 *m2 *n1  *n2  + 400*a33*m1 *m2 *n1  *n2 *n3

                3   6   22   3   4             3   6   20   9
    + 160*a33*m1 *m2 *n1  *n2 *n3  - 816*a33*m1 *m2 *n1  *n2

                3   6   20   7   2             3   6   20   5   4
    - 240*a33*m1 *m2 *n1  *n2 *n3  + 600*a33*m1 *m2 *n1  *n2 *n3

                3   6   18   11              3   6   18   9   2
    - 656*a33*m1 *m2 *n1  *n2   - 2704*a33*m1 *m2 *n1  *n2 *n3

                3   6   18   7   4             3   6   16   13
    + 224*a33*m1 *m2 *n1  *n2 *n3  + 800*a33*m1 *m2 *n1  *n2

                 3   6   16   11   2              3   6   16   9   4
    - 3912*a33*m1 *m2 *n1  *n2  *n3  - 1944*a33*m1 *m2 *n1  *n2 *n3

                 3   6   14   15             3   6   14   13   2
    + 1792*a33*m1 *m2 *n1  *n2   - 384*a33*m1 *m2 *n1  *n2  *n3

                 3   6   14   11   4             3   6   12   17
    - 3072*a33*m1 *m2 *n1  *n2  *n3  + 800*a33*m1 *m2 *n1  *n2

                 3   6   12   15   2             3   6   12   13   4
    + 4032*a33*m1 *m2 *n1  *n2  *n3  - 336*a33*m1 *m2 *n1  *n2  *n3

                3   6   10   19              3   6   10   17   2
    - 656*a33*m1 *m2 *n1  *n2   + 3648*a33*m1 *m2 *n1  *n2  *n3

                 3   6   10   15   4             3   6   8   21
    + 2688*a33*m1 *m2 *n1  *n2  *n3  - 816*a33*m1 *m2 *n1 *n2

                3   6   8   19   2              3   6   8   17   4
    + 456*a33*m1 *m2 *n1 *n2  *n3  + 2064*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   23             3   6   6   21   2
    - 256*a33*m1 *m2 *n1 *n2   - 912*a33*m1 *m2 *n1 *n2  *n3

               3   6   6   19   4            3   6   4   25
    + 96*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2

                3   6   4   23   2             3   6   4   21   4
    - 464*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   27            3   6   2   25   2
    + 16*a33*m1 *m2 *n1 *n2   - 48*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   23   4           3   6   27   2
    - 96*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   25   4            2   7   25   4
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2

                2   7   23   6             2   7   23   4   2
    + 104*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

               2   7   21   8             2   7   21   6   2
    + 56*a33*m1 *m2 *n1  *n2  + 600*a33*m1 *m2 *n1  *n2 *n3

                2   7   21   4   4             2   7   19   10
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 440*a33*m1 *m2 *n1  *n2

                2   7   19   8   2             2   7   19   6   4
    + 888*a33*m1 *m2 *n1  *n2 *n3  + 576*a33*m1 *m2 *n1  *n2 *n3

                2   7   17   12             2   7   17   10   2
    - 976*a33*m1 *m2 *n1  *n2   - 408*a33*m1 *m2 *n1  *n2  *n3

                2   7   17   8   4             2   7   15   14
    + 840*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2

                 2   7   15   12   2             2   7   15   10   4
    - 2544*a33*m1 *m2 *n1  *n2  *n3  - 192*a33*m1 *m2 *n1  *n2  *n3

                2   7   13   16              2   7   13   14   2
    + 560*a33*m1 *m2 *n1  *n2   - 2352*a33*m1 *m2 *n1  *n2  *n3

                 2   7   13   12   4             2   7   11   18
    - 1680*a33*m1 *m2 *n1  *n2  *n3  + 976*a33*m1 *m2 *n1  *n2

                2   7   11   16   2              2   7   11   14   4
    + 336*a33*m1 *m2 *n1  *n2  *n3  - 1344*a33*m1 *m2 *n1  *n2  *n3

                2   7   9   20              2   7   9   18   2
    + 440*a33*m1 *m2 *n1 *n2   + 1968*a33*m1 *m2 *n1 *n2  *n3

                2   7   9   16   4            2   7   7   22
    + 336*a33*m1 *m2 *n1 *n2  *n3  - 56*a33*m1 *m2 *n1 *n2

                 2   7   7   20   2             2   7   7   18   4
    + 1272*a33*m1 *m2 *n1 *n2  *n3  + 960*a33*m1 *m2 *n1 *n2  *n3

                2   7   5   24             2   7   5   22   2
    - 104*a33*m1 *m2 *n1 *n2   + 216*a33*m1 *m2 *n1 *n2  *n3

                2   7   5   20   4            2   7   3   26
    + 408*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   7   3   24   2            2   7      26   2
    - 72*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

               2   7      24   4               8   24   5
    - 24*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1*m2 *n1  *n2

                  8   22   7               8   22   5   2
    + 96*a33*m1*m2 *n1  *n2  + 60*a33*m1*m2 *n1  *n2 *n3

                   8   20   9                8   20   7   2
    + 208*a33*m1*m2 *n1  *n2  + 360*a33*m1*m2 *n1  *n2 *n3

                  8   20   5   4                8   18   11
    + 48*a33*m1*m2 *n1  *n2 *n3  + 128*a33*m1*m2 *n1  *n2

                   8   18   9   2                8   18   7   4
    + 816*a33*m1*m2 *n1  *n2 *n3  + 264*a33*m1*m2 *n1  *n2 *n3

                   8   16   13                8   16   11   2
    - 224*a33*m1*m2 *n1  *n2   + 696*a33*m1*m2 *n1  *n2  *n3

                   8   16   9   4                8   14   15
    + 528*a33*m1*m2 *n1  *n2 *n3  - 448*a33*m1*m2 *n1  *n2

                   8   14   13   2                8   14   11   4
    - 336*a33*m1*m2 *n1  *n2  *n3  + 336*a33*m1*m2 *n1  *n2  *n3

                   8   12   17                 8   12   15   2
    - 224*a33*m1*m2 *n1  *n2   - 1176*a33*m1*m2 *n1  *n2  *n3

                   8   12   13   4                8   10   19
    - 336*a33*m1*m2 *n1  *n2  *n3  + 128*a33*m1*m2 *n1  *n2

                   8   10   17   2                8   10   15   4
    - 840*a33*m1*m2 *n1  *n2  *n3  - 672*a33*m1*m2 *n1  *n2  *n3

                   8   8   21               8   8   19   2
    + 208*a33*m1*m2 *n1 *n2   - 24*a33*m1*m2 *n1 *n2  *n3

                   8   8   17   4               8   6   23
    - 336*a33*m1*m2 *n1 *n2  *n3  + 96*a33*m1*m2 *n1 *n2

                   8   6   21   2               8   6   19   4
    + 276*a33*m1*m2 *n1 *n2  *n3  + 48*a33*m1*m2 *n1 *n2  *n3

                  8   4   25                8   4   23   2
    + 16*a33*m1*m2 *n1 *n2   + 144*a33*m1*m2 *n1 *n2  *n3

                  8   4   21   4               8   2   25   2
    + 96*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                  8   2   23   4           9   23   6            9   21   8
    + 24*a33*m1*m2 *n1 *n2  *n3  + 4*a33*m2 *n1  *n2  + 28*a33*m2 *n1  *n2

               9   21   6   2            9   19   10            9   19   8   2
    + 12*a33*m2 *n1  *n2 *n3  + 80*a33*m2 *n1  *n2   + 80*a33*m2 *n1  *n2 *n3

              9   19   6   4             9   17   12             9   17   10   2
    + 8*a33*m2 *n1  *n2 *n3  + 112*a33*m2 *n1  *n2   + 216*a33*m2 *n1  *n2  *n3

               9   17   8   4            9   15   14             9   15   12   2
    + 48*a33*m2 *n1  *n2 *n3  + 56*a33*m2 *n1  *n2   + 280*a33*m2 *n1  *n2  *n3

                9   15   10   4            9   13   16
    + 112*a33*m2 *n1  *n2  *n3  - 56*a33*m2 *n1  *n2

                9   13   14   2             9   13   12   4
    + 112*a33*m2 *n1  *n2  *n3  + 112*a33*m2 *n1  *n2  *n3

                9   11   18             9   11   16   2            9   9   20
    - 112*a33*m2 *n1  *n2   - 168*a33*m2 *n1  *n2  *n3  - 80*a33*m2 *n1 *n2

                9   9   18   2             9   9   16   4            9   7   22
    - 280*a33*m2 *n1 *n2  *n3  - 112*a33*m2 *n1 *n2  *n3  - 28*a33*m2 *n1 *n2

                9   7   20   2             9   7   18   4           9   5   24
    - 184*a33*m2 *n1 *n2  *n3  - 112*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2

               9   5   22   2            9   5   20   4           9   3   24   2
    - 60*a33*m2 *n1 *n2  *n3  - 48*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   22   4
    - 8*a33*m2 *n1 *n2  *n3 )


r35=0


            2   8               2   6   3            2   2   7
r36=( - 2*m1 *n1 *n2*r496 - 4*m1 *n1 *n2 *r496 + 4*m1 *n1 *n2 *r496

            2   9                  9                   5   4
      + 2*m1 *n2 *r496 + 2*m1*m2*n1 *r496 - 12*m1*m2*n1 *n2 *r496

                   3   6                     8             10
      - 16*m1*m2*n1 *n2 *r496 - 6*m1*m2*n1*n2 *r496 + m1*n1  *r483

               8   2               6   4               4   6
      + 3*m1*n1 *n2 *r483 + 2*m1*n1 *n2 *r483 - 2*m1*n1 *n2 *r483

               2   8             10            2   8
      - 3*m1*n1 *n2 *r483 - m1*n2  *r483 + 4*m2 *n1 *n2*r496

             2   6   3             2   4   5            2   2   7
      + 12*m2 *n1 *n2 *r496 + 12*m2 *n1 *n2 *r496 + 4*m2 *n1 *n2 *r496

               9                  7   3                5   5
      + 2*m2*n1 *n2*r483 + 8*m2*n1 *n2 *r483 + 12*m2*n1 *n2 *r483

               3   7                  9                10            8   2
      + 8*m2*n1 *n2 *r483 + 2*m2*n1*n2 *r483)/(2*a33*n1   + 10*a33*n1 *n2

               6   4            4   6            2   8           10
    + 20*a33*n1 *n2  + 20*a33*n1 *n2  + 10*a33*n1 *n2  + 2*a33*n2  )


            2                           2                     2
r37=( - 2*m1 *n1*n2*n3*r496 + 2*m1*m2*n1 *n3*r496 - 2*m1*m2*n2 *n3*r496

             3                   2               2
      + m1*n1 *n3*r483 + m1*n1*n2 *n3*r483 + 2*m2 *n1*n2*n3*r496

             2                   3                 4           2   2         4
      + m2*n1 *n2*n3*r483 + m2*n2 *n3*r483)/(a33*n1  + 2*a33*n1 *n2  + a33*n2 )


            2   3   2            2      4                  4
r38=( - 4*m1 *n1 *n2 *r496 - 4*m1 *n1*n2 *r496 + 6*m1*m2*n1 *n2*r496

                  2   3                  5               5
      + 4*m1*m2*n1 *n2 *r496 - 2*m1*m2*n2 *r496 + 2*m1*n1 *n2*r483

               3   3                  5            2   5
      + 4*m1*n1 *n2 *r483 + 2*m1*n1*n2 *r483 - 2*m2 *n1 *r496

            2      4             6             4   2             2   4
      + 2*m2 *n1*n2 *r496 - m2*n1 *r483 - m2*n1 *n2 *r483 + m2*n1 *n2 *r483

             6                6           4   2           2   4           6
      + m2*n2 *r483)/(2*a33*n1  + 6*a33*n1 *n2  + 6*a33*n1 *n2  + 2*a33*n2 )


            2   8               2   6   3            2   2   7
r39=( - 2*m1 *n1 *n2*r496 - 4*m1 *n1 *n2 *r496 + 4*m1 *n1 *n2 *r496

            2   9                  9                   5   4
      + 2*m1 *n2 *r496 + 2*m1*m2*n1 *r496 - 12*m1*m2*n1 *n2 *r496

                   3   6                     8             10
      - 16*m1*m2*n1 *n2 *r496 - 6*m1*m2*n1*n2 *r496 + m1*n1  *r483

               8   2               6   4               4   6
      + 3*m1*n1 *n2 *r483 + 2*m1*n1 *n2 *r483 - 2*m1*n1 *n2 *r483

               2   8             10            2   8
      - 3*m1*n1 *n2 *r483 - m1*n2  *r483 + 4*m2 *n1 *n2*r496

             2   6   3             2   4   5            2   2   7
      + 12*m2 *n1 *n2 *r496 + 12*m2 *n1 *n2 *r496 + 4*m2 *n1 *n2 *r496

               9                  7   3                5   5
      + 2*m2*n1 *n2*r483 + 8*m2*n1 *n2 *r483 + 12*m2*n1 *n2 *r483

               3   7                  9                10            8   2
      + 8*m2*n1 *n2 *r483 + 2*m2*n1*n2 *r483)/(2*a33*n1   + 10*a33*n1 *n2

               6   4            4   6            2   8           10
    + 20*a33*n1 *n2  + 20*a33*n1 *n2  + 10*a33*n1 *n2  + 2*a33*n2  )


              2   11   8   5   3             2   11   8   3   5
r310=( - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   11   6   7   3             2   11   6   5   5
       - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   10      9   6                 2   10      9   4   3
       - 4*a33 *m1  *m2*n1 *n2 *n3*r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      9   2   5             2   10      7   8
       - 24*a33 *m1  *m2*n1 *n2 *n3 *r214 - 8*a33 *m1  *m2*n1 *n2 *n3*r214

               2   10      7   6   3              2   10      7   4   5
       + 12*a33 *m1  *m2*n1 *n2 *n3 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      5   10                 2   10      5   8   3
       - 4*a33 *m1  *m2*n1 *n2  *n3*r214 - 12*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      5   6   5             2   10   10   4   3
       + 48*a33 *m1  *m2*n1 *n2 *n3 *r214 - 2*a33 *m1  *n1  *n2 *n3 *r216

              2   10   10   2   5             2   10   8   6   3
       + 4*a33 *m1  *n1  *n2 *n3 *r216 - 4*a33 *m1  *n1 *n2 *n3 *r216

              2   10   8   4   5             2   10   6   8   3
       + 8*a33 *m1  *n1 *n2 *n3 *r216 - 2*a33 *m1  *n1 *n2 *n3 *r216

              2   10   6   6   5              2   9   2   10   5
       + 4*a33 *m1  *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   9   2   10   3   3              2   9   2   10      5
       - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   9   2   8   7                 2   9   2   8   5   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 44*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   9   2   8   3   5              2   9   2   6   9
       - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   9   2   6   7   3              2   9   2   6   5   5
       + 92*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   4   11                  2   9   2   4   7   5
       - 16*a33 *m1 *m2 *n1 *n2  *n3*r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9      11   5                 2   9      11   3   3
       - 2*a33 *m1 *m2*n1  *n2 *n3*r216 + 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      11      5             2   9      9   7
       - 8*a33 *m1 *m2*n1  *n2*n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *n3*r216

               2   9      9   5   3             2   9      9   3   5
       + 14*a33 *m1 *m2*n1 *n2 *n3 *r216 + 8*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   9      7   9                2   9      7   7   3
       - 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   9      7   5   5             2   9      5   11
       + 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2  *n3*r216

              2   9      5   9   3              2   9      5   7   5
       - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 + 24*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   8   3   11   4                 2   8   3   11   2   3
       - 24*a33 *m1 *m2 *n1  *n2 *n3*r214 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   11   5              2   8   3   9   6
       - 8*a33 *m1 *m2 *n1  *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

                2   8   3   9   4   3               2   8   3   9   2   5
       - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   7   8                 2   8   3   7   6   3
       + 72*a33 *m1 *m2 *n1 *n2 *n3*r214 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   3   7   4   5              2   8   3   5   10
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3*r214

                2   8   3   5   8   3               2   8   3   5   6   5
       + 148*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   3   12                 2   8   3   3   10   3
       - 24*a33 *m1 *m2 *n1 *n2  *n3*r214 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   3   3   8   5             2   8   2   12   4
       + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *n3*r216

               2   8   2   12   2   3             2   8   2   12   5
       - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

               2   8   2   10   6                 2   8   2   10   4   3
       + 10*a33 *m1 *m2 *n1  *n2 *n3*r216 + 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   10   2   5             2   8   2   8   8
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   8   2   8   6   3              2   8   2   8   4   5
       + 66*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   6   10                 2   8   2   6   8   3
       - 18*a33 *m1 *m2 *n1 *n2  *n3*r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   6   6   5             2   8   2   4   12
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   8   2   4   8   5              2   7   4   12   3
       + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   7   4   12      3              2   7   4   10   5
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *n3*r214

                2   7   4   10   3   3              2   7   4   10      5
       + 132*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   4   8   7                  2   7   4   8   5   3
       - 64*a33 *m1 *m2 *n1 *n2 *n3*r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   8   3   5              2   7   4   6   9
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3*r214

                2   7   4   6   7   3               2   7   4   6   5   5
       - 264*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   4   11                 2   7   4   4   9   3
       + 48*a33 *m1 *m2 *n1 *n2  *n3*r214 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   4   7   5              2   7   4   2   13
       - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   7   4   2   11   3               2   7   4   2   9   5
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   3   13   3                2   7   3   13      3
       - 6*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   7   3   11   5                 2   7   3   11   3   3
       + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 - 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   11      5              2   7   3   9   7
       + 16*a33 *m1 *m2 *n1  *n2*n3 *r216 + 36*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   7   3   9   5   3              2   7   3   9   3   5
       - 52*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   7   9                 2   7   3   7   7   3
       + 24*a33 *m1 *m2 *n1 *n2 *n3*r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   7   5   5              2   7   3   5   11
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 14*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   7   3   5   9   3              2   7   3   5   7   5
       + 94*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   3   13                 2   7   3   3   11   3
       - 12*a33 *m1 *m2 *n1 *n2  *n3*r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   3   9   5             2   6   5   13   2
       + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   6   5   11   4                 2   6   5   11   2   3
       + 32*a33 *m1 *m2 *n1  *n2 *n3*r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   11   5             2   6   5   9   6
       - 8*a33 *m1 *m2 *n1  *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3*r214

                2   6   5   9   4   3              2   6   5   9   2   5
       + 124*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   7   8                 2   6   5   7   6   3
       - 80*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   5   7   4   5             2   6   5   5   10
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *n3*r214

                2   6   5   5   8   3              2   6   5   5   6   5
       - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   3   12                 2   6   5   3   10   3
       + 32*a33 *m1 *m2 *n1 *n2  *n3*r214 - 44*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   3   8   5             2   6   5      14
       - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   6   5      12   3              2   6   5      10   5
       + 36*a33 *m1 *m2 *n1*n2  *n3 *r214 + 48*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   6   4   14   2                 2   6   4   12   4
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 12*a33 *m1 *m2 *n1  *n2 *n3*r216

               2   6   4   12   2   3             2   6   4   12   5
       + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

               2   6   4   10   6                 2   6   4   10   4   3
       - 20*a33 *m1 *m2 *n1  *n2 *n3*r216 - 46*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   10   2   5              2   6   4   8   8
       + 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3*r216

                2   6   4   8   6   3              2   6   4   8   4   5
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   6   10                2   6   4   6   8   3
       + 42*a33 *m1 *m2 *n1 *n2  *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   4   6   6   5             2   6   4   4   12
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   6   4   4   10   3              2   6   4   4   8   5
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   2   14                 2   6   4   2   12   3
       - 8*a33 *m1 *m2 *n1 *n2  *n3*r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   2   10   5              2   5   6   12      3
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   10   3   3              2   5   6   10      5
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   8   5   3               2   5   6   8   3   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   6   7   3              2   5   6   6   5   5
       - 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   4   9   3               2   5   6   4   7   5
       - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   2   11   3              2   5   6   2   9   5
       - 28*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   13   3             2   5   6   11   5
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

              2   5   5   13   3                2   5   5   13      3
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   5   5   11   5                2   5   5   11   3   3
       - 6*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   11      5              2   5   5   9   7
       + 24*a33 *m1 *m2 *n1  *n2*n3 *r216 - 18*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   5   5   9   5   3             2   5   5   9   3   5
       - 46*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   7   7   3              2   5   5   7   5   5
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   5   11                 2   5   5   5   9   3
       + 18*a33 *m1 *m2 *n1 *n2  *n3*r216 - 42*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   5   7   5             2   5   5   3   13
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   5   5   3   11   3             2   5   5   3   9   5
       + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5      15                 2   5   5      13   3
       - 2*a33 *m1 *m2 *n1*n2  *n3*r216 + 18*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   5   5      11   5             2   4   7   13   2
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   4   7   11   4                 2   4   7   11   2   3
       + 32*a33 *m1 *m2 *n1  *n2 *n3*r214 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   4   7   9   6                  2   4   7   9   4   3
       - 4*a33 *m1 *m2 *n1 *n2 *n3*r214 + 180*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   9   2   5              2   4   7   7   8
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3*r214

                2   4   7   7   6   3               2   4   7   7   4   5
       + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   5   10                  2   4   7   5   8   3
       - 4*a33 *m1 *m2 *n1 *n2  *n3*r214 - 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   5   6   5              2   4   7   3   12
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   4   7   3   10   3               2   4   7   3   8   5
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7      14                 2   4   7      12   3
       - 4*a33 *m1 *m2 *n1*n2  *n3*r214 + 12*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   4   7      10   5             2   4   6   14   2
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *n3*r216

              2   4   6   12   4                 2   4   6   12   2   3
       - 6*a33 *m1 *m2 *n1  *n2 *n3*r216 + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   10   6                 2   4   6   10   2   5
       - 18*a33 *m1 *m2 *n1  *n2 *n3*r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   8   6   3              2   4   6   8   4   5
       - 100*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   6   10                 2   4   6   6   8   3
       + 18*a33 *m1 *m2 *n1 *n2  *n3*r216 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   4   6   6   6   5             2   4   6   4   12
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3*r216

              2   4   6   4   10   3              2   4   6   4   8   5
       - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   2   14                2   4   6   2   12   3
       - 2*a33 *m1 *m2 *n1 *n2  *n3*r216 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   2   10   5             2   4   6   14   3
       + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2   4   6   12   5              2   3   8   12   3
       + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   3   8   10   5                  2   3   8   10   3   3
       + 48*a33 *m1 *m2 *n1  *n2 *n3*r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   8   7                  2   3   8   8   5   3
       + 64*a33 *m1 *m2 *n1 *n2 *n3*r214 + 140*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   8   3   5              2   3   8   6   9
       - 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3*r214

                2   3   8   6   7   3               2   3   8   6   5   5
       + 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   4   11                 2   3   8   4   9   3
       - 48*a33 *m1 *m2 *n1 *n2  *n3*r214 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   4   7   5              2   3   8   2   13
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   3   8   2   11   3               2   3   8   2   9   5
       - 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   8   13   3             2   3   8   11   5
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

              2   3   7   13   3                2   3   7   11   5
       + 8*a33 *m1 *m2 *n1  *n2 *n3*r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r216

               2   3   7   11   3   3              2   3   7   9   7
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   7   9   5   3              2   3   7   9   3   5
       + 50*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   7   9                  2   3   7   7   7   3
       - 24*a33 *m1 *m2 *n1 *n2 *n3*r216 - 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   7   5   5              2   3   7   5   11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3*r216

                2   3   7   5   9   3              2   3   7   5   7   5
       - 108*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   3   13                2   3   7   3   11   3
       + 12*a33 *m1 *m2 *n1 *n2  *n3*r216 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   3   9   5             2   3   7      15
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *n3*r216

               2   3   7      13   3              2   3   7      11   5
       + 10*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   9   11   4                 2   2   9   9   6
       - 24*a33 *m1 *m2 *n1  *n2 *n3*r214 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

                2   2   9   9   4   3              2   2   9   7   8
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 72*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   2   9   7   6   3               2   2   9   7   4   5
       - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   5   10                  2   2   9   5   8   3
       + 12*a33 *m1 *m2 *n1 *n2  *n3*r214 + 172*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   5   6   5              2   2   9   3   12
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   9   3   10   3               2   2   9   3   8   5
       + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9      12   3              2   2   9      10   5
       - 24*a33 *m1 *m2 *n1*n2  *n3 *r214 - 24*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   2   8   12   4                 2   2   8   10   6
       + 12*a33 *m1 *m2 *n1  *n2 *n3*r216 + 14*a33 *m1 *m2 *n1  *n2 *n3*r216

               2   2   8   10   4   3              2   2   8   8   8
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   8   8   6   3              2   2   8   8   4   5
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   6   10                 2   2   8   6   8   3
       - 36*a33 *m1 *m2 *n1 *n2  *n3*r216 - 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   6   6   5             2   2   8   4   12
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   8   4   10   3              2   2   8   4   8   5
       - 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   2   14                 2   2   8   2   12   3
       + 6*a33 *m1 *m2 *n1 *n2  *n3*r216 - 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   2   10   5             2   2   8   14   3
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   8   12   5              2      10   10   5
       + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1*m2  *n1  *n2 *n3*r214

               2      10   8   7                 2      10   8   5   3
       - 16*a33 *m1*m2  *n1 *n2 *n3*r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   9                 2      10   6   7   3
       + 16*a33 *m1*m2  *n1 *n2 *n3*r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   5   5              2      10   4   11
       - 48*a33 *m1*m2  *n1 *n2 *n3 *r214 + 16*a33 *m1*m2  *n1 *n2  *n3*r214

               2      10   4   9   3              2      10   4   7   5
       + 24*a33 *m1*m2  *n1 *n2 *n3 *r214 - 24*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   2   11   3              2      10   2   9   5
       + 24*a33 *m1*m2  *n1 *n2  *n3 *r214 + 24*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      9   11   5                 2      9   9   7
       + 8*a33 *m1*m2 *n1  *n2 *n3*r216 + 18*a33 *m1*m2 *n1 *n2 *n3*r216

               2      9   9   5   3             2      9   7   9
       + 30*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2 *n3*r216

               2      9   7   7   3              2      9   7   5   5
       + 66*a33 *m1*m2 *n1 *n2 *n3 *r216 + 24*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   5   11                 2      9   5   9   3
       - 10*a33 *m1*m2 *n1 *n2  *n3*r216 + 34*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   5   7   5             2      9   3   13
       + 40*a33 *m1*m2 *n1 *n2 *n3 *r216 - 6*a33 *m1*m2 *n1 *n2  *n3*r216

               2      9   3   11   3             2      9   3   9   5
       - 10*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9      13   3             2      9      11   5
       - 8*a33 *m1*m2 *n1*n2  *n3 *r216 - 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2   11   9   6                2   11   7   8
       - 4*a33 *m2  *n1 *n2 *n3*r214 - 8*a33 *m2  *n1 *n2 *n3*r214

               2   11   7   6   3             2   11   5   10
       - 12*a33 *m2  *n1 *n2 *n3 *r214 - 4*a33 *m2  *n1 *n2  *n3*r214

               2   11   5   8   3             2   11   5   6   5
       - 20*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   11   3   10   3             2   11   3   8   5
       - 8*a33 *m2  *n1 *n2  *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   10   10   6                2   10   8   8
       + 2*a33 *m2  *n1  *n2 *n3*r216 + 6*a33 *m2  *n1 *n2 *n3*r216

              2   10   8   6   3             2   10   6   10
       + 6*a33 *m2  *n1 *n2 *n3 *r216 + 6*a33 *m2  *n1 *n2  *n3*r216

               2   10   6   8   3             2   10   6   6   5
       + 16*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2 *n3 *r216

              2   10   4   12                 2   10   4   10   3
       + 2*a33 *m2  *n1 *n2  *n3*r216 + 14*a33 *m2  *n1 *n2  *n3 *r216

              2   10   4   8   5             2   10   2   12   3
       + 8*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2  *n3 *r216

              2   10   2   10   5            10   12   4   3
       + 4*a33 *m2  *n1 *n2  *n3 *r216 + 8*m1  *n1  *n2 *n3 *r496

              10   12   2   5            10   10   6   3
       - 16*m1  *n1  *n2 *n3 *r496 + 3*m1  *n1  *n2 *n3 *r496

             10   10   4   5             10   8   8   3
       - 6*m1  *n1  *n2 *n3 *r496 - 10*m1  *n1 *n2 *n3 *r496

              10   8   6   5            10   6   10   3
       + 20*m1  *n1 *n2 *n3 *r496 - 5*m1  *n1 *n2  *n3 *r496

              10   6   8   5            9      13   5
       + 10*m1  *n1 *n2 *n3 *r496 + 8*m1 *m2*n1  *n2 *n3*r496

              9      13   3   3             9      13      5
       - 41*m1 *m2*n1  *n2 *n3 *r496 + 34*m1 *m2*n1  *n2*n3 *r496

              9      11   7                9      11   5   3
       + 11*m1 *m2*n1  *n2 *n3*r496 + 14*m1 *m2*n1  *n2 *n3 *r496

              9      11   3   5            9      9   9
       - 94*m1 *m2*n1  *n2 *n3 *r496 - 7*m1 *m2*n1 *n2 *n3*r496

              9      9   7   3             9      9   5   5
       + 56*m1 *m2*n1 *n2 *n3 *r496 - 70*m1 *m2*n1 *n2 *n3 *r496

              9      7   11                9      7   9   3
       - 15*m1 *m2*n1 *n2  *n3*r496 - 14*m1 *m2*n1 *n2 *n3 *r496

               9      7   7   5            9      5   13
       + 118*m1 *m2*n1 *n2 *n3 *r496 - 5*m1 *m2*n1 *n2  *n3*r496

              9      5   11   3             9      5   9   5
       - 15*m1 *m2*n1 *n2  *n3 *r496 + 60*m1 *m2*n1 *n2 *n3 *r496

             9   12   5   3            9   12   3   5
       - 2*m1 *n1  *n2 *n3 *r483 + 4*m1 *n1  *n2 *n3 *r483

             9   10   7   3            9   10   5   5
       - 2*m1 *n1  *n2 *n3 *r483 + 4*m1 *n1  *n2 *n3 *r483

             9   8   9   3            9   8   7   5
       + 2*m1 *n1 *n2 *n3 *r483 - 4*m1 *n1 *n2 *n3 *r483

             9   6   11   3            9   6   9   5
       + 2*m1 *n1 *n2  *n3 *r483 - 4*m1 *n1 *n2 *n3 *r483

              8   2   14   4                8   2   14   2   3
       - 25*m1 *m2 *n1  *n2 *n3*r496 + 60*m1 *m2 *n1  *n2 *n3 *r496

              8   2   14   5            8   2   12   6
       - 18*m1 *m2 *n1  *n3 *r496 + 3*m1 *m2 *n1  *n2 *n3*r496

               8   2   12   4   3              8   2   12   2   5
       - 174*m1 *m2 *n1  *n2 *n3 *r496 + 216*m1 *m2 *n1  *n2 *n3 *r496

              8   2   10   8                8   2   10   6   3
       + 67*m1 *m2 *n1  *n2 *n3*r496 - 99*m1 *m2 *n1  *n2 *n3 *r496

               8   2   10   4   5            8   2   8   10
       - 228*m1 *m2 *n1  *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *n3*r496

               8   2   8   8   3              8   2   8   6   5
       + 204*m1 *m2 *n1 *n2 *n3 *r496 - 306*m1 *m2 *n1 *n2 *n3 *r496

              8   2   6   12                8   2   6   10   3
       - 54*m1 *m2 *n1 *n2  *n3*r496 + 69*m1 *m2 *n1 *n2  *n3 *r496

               8   2   6   8   5             8   2   4   14
       + 306*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2  *n3*r496

               8   2   4   10   5            8      13   6
       + 150*m1 *m2 *n1 *n2  *n3 *r496 - 2*m1 *m2*n1  *n2 *n3*r483

              8      13   4   3             8      13   2   5
       + 12*m1 *m2*n1  *n2 *n3 *r483 - 12*m1 *m2*n1  *n2 *n3 *r483

             8      11   8               8      11   6   3
       - 4*m1 *m2*n1  *n2 *n3*r483 + 6*m1 *m2*n1  *n2 *n3 *r483

              8      11   4   5             8      9   8   3
       + 12*m1 *m2*n1  *n2 *n3 *r483 - 18*m1 *m2*n1 *n2 *n3 *r483

              8      9   6   5            8      7   12
       + 36*m1 *m2*n1 *n2 *n3 *r483 + 4*m1 *m2*n1 *n2  *n3*r483

             8      7   10   3             8      7   8   5
       - 6*m1 *m2*n1 *n2  *n3 *r483 - 12*m1 *m2*n1 *n2 *n3 *r483

             8      5   14               8      5   12   3
       + 2*m1 *m2*n1 *n2  *n3*r483 + 6*m1 *m2*n1 *n2  *n3 *r483

              8      5   10   5             7   3   15   3
       - 24*m1 *m2*n1 *n2  *n3 *r483 + 26*m1 *m2 *n1  *n2 *n3*r496

              7   3   15      3             7   3   13   5
       - 27*m1 *m2 *n1  *n2*n3 *r496 - 79*m1 *m2 *n1  *n2 *n3*r496

               7   3   13   3   3              7   3   13      5
       + 299*m1 *m2 *n1  *n2 *n3 *r496 - 106*m1 *m2 *n1  *n2*n3 *r496

              7   3   11   7                 7   3   11   5   3
       - 90*m1 *m2 *n1  *n2 *n3*r496 - 260*m1 *m2 *n1  *n2 *n3 *r496

               7   3   11   3   5              7   3   9   9
       + 616*m1 *m2 *n1  *n2 *n3 *r496 + 146*m1 *m2 *n1 *n2 *n3*r496

               7   3   9   7   3              7   3   9   5   5
       - 442*m1 *m2 *n1 *n2 *n3 *r496 - 292*m1 *m2 *n1 *n2 *n3 *r496

              7   3   7   11                 7   3   7   9   3
       + 86*m1 *m2 *n1 *n2  *n3*r496 + 317*m1 *m2 *n1 *n2 *n3 *r496

               7   3   7   7   5             7   3   5   13
       - 736*m1 *m2 *n1 *n2 *n3 *r496 - 75*m1 *m2 *n1 *n2  *n3*r496

               7   3   5   11   3              7   3   5   9   5
       + 223*m1 *m2 *n1 *n2  *n3 *r496 + 478*m1 *m2 *n1 *n2 *n3 *r496

              7   3   3   15                7   3   3   13   3
       - 30*m1 *m2 *n1 *n2  *n3*r496 + 50*m1 *m2 *n1 *n2  *n3 *r496

               7   3   3   11   5            7   2   14   5
       + 200*m1 *m2 *n1 *n2  *n3 *r496 + 8*m1 *m2 *n1  *n2 *n3*r483

              7   2   14   3   3             7   2   14      5
       - 24*m1 *m2 *n1  *n2 *n3 *r483 + 12*m1 *m2 *n1  *n2*n3 *r483

             7   2   12   7                7   2   12   5   3
       + 8*m1 *m2 *n1  *n2 *n3*r483 + 24*m1 *m2 *n1  *n2 *n3 *r483

              7   2   12   3   5             7   2   10   9
       - 60*m1 *m2 *n1  *n2 *n3 *r483 - 16*m1 *m2 *n1  *n2 *n3*r483

              7   2   10   7   3             7   2   10   5   5
       + 72*m1 *m2 *n1  *n2 *n3 *r483 - 24*m1 *m2 *n1  *n2 *n3 *r483

              7   2   8   11                7   2   8   9   3
       - 16*m1 *m2 *n1 *n2  *n3*r483 - 24*m1 *m2 *n1 *n2 *n3 *r483

               7   2   8   7   5            7   2   6   13
       + 120*m1 *m2 *n1 *n2 *n3 *r483 + 8*m1 *m2 *n1 *n2  *n3*r483

              7   2   6   11   3             7   2   6   9   5
       - 48*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2 *n3 *r483

             7   2   4   15                7   2   4   11   5
       + 8*m1 *m2 *n1 *n2  *n3*r483 - 60*m1 *m2 *n1 *n2  *n3 *r483

             6   4   16   2                 6   4   14   4
       - 9*m1 *m2 *n1  *n2 *n3*r496 + 100*m1 *m2 *n1  *n2 *n3*r496

               6   4   14   2   3             6   4   14   5
       - 127*m1 *m2 *n1  *n2 *n3 *r496 - 10*m1 *m2 *n1  *n3 *r496

              6   4   12   6                 6   4   12   4   3
       - 78*m1 *m2 *n1  *n2 *n3*r496 + 658*m1 *m2 *n1  *n2 *n3 *r496

               6   4   12   2   5              6   4   10   8
       - 278*m1 *m2 *n1  *n2 *n3 *r496 - 252*m1 *m2 *n1  *n2 *n3*r496

              6   4   10   6   3               6   4   10   4   5
       - 97*m1 *m2 *n1  *n2 *n3 *r496 + 1070*m1 *m2 *n1  *n2 *n3 *r496

               6   4   8   10                 6   4   8   8   3
       + 155*m1 *m2 *n1 *n2  *n3*r496 - 856*m1 *m2 *n1 *n2 *n3 *r496

               6   4   8   6   5              6   4   6   12
       - 196*m1 *m2 *n1 *n2 *n3 *r496 + 180*m1 *m2 *n1 *n2  *n3*r496

               6   4   6   10   3               6   4   6   8   5
       + 241*m1 *m2 *n1 *n2  *n3 *r496 - 1154*m1 *m2 *n1 *n2 *n3 *r496

              6   4   4   14                 6   4   4   12   3
       - 60*m1 *m2 *n1 *n2  *n3*r496 + 290*m1 *m2 *n1 *n2  *n3 *r496

               6   4   4   10   5             6   4   2   16
       + 530*m1 *m2 *n1 *n2  *n3 *r496 - 20*m1 *m2 *n1 *n2  *n3*r496

              6   4   2   14   3              6   4   2   12   5
       + 75*m1 *m2 *n1 *n2  *n3 *r496 + 150*m1 *m2 *n1 *n2  *n3 *r496

              6   3   15   4                6   3   15   2   3
       - 12*m1 *m2 *n1  *n2 *n3*r483 + 20*m1 *m2 *n1  *n2 *n3 *r483

             6   3   15   5            6   3   13   6
       - 4*m1 *m2 *n1  *n3 *r483 + 8*m1 *m2 *n1  *n2 *n3*r483

              6   3   13   4   3             6   3   13   2   5
       - 88*m1 *m2 *n1  *n2 *n3 *r483 + 68*m1 *m2 *n1  *n2 *n3 *r483

              6   3   11   8                6   3   11   6   3
       + 52*m1 *m2 *n1  *n2 *n3*r483 - 68*m1 *m2 *n1  *n2 *n3 *r483

               6   3   11   4   5              6   3   9   8   3
       - 104*m1 *m2 *n1  *n2 *n3 *r483 + 168*m1 *m2 *n1 *n2 *n3 *r483

               6   3   9   6   5             6   3   7   12
       - 168*m1 *m2 *n1 *n2 *n3 *r483 - 52*m1 *m2 *n1 *n2  *n3*r483

              6   3   7   10   3              6   3   7   8   5
       + 68*m1 *m2 *n1 *n2  *n3 *r483 + 188*m1 *m2 *n1 *n2 *n3 *r483

             6   3   5   14                6   3   5   12   3
       - 8*m1 *m2 *n1 *n2  *n3*r483 - 80*m1 *m2 *n1 *n2  *n3 *r483

               6   3   5   10   5             6   3   3   16
       + 100*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2  *n3*r483

              6   3   3   14   3             6   3   3   12   5
       - 20*m1 *m2 *n1 *n2  *n3 *r483 - 80*m1 *m2 *n1 *n2  *n3 *r483

              5   5   15   3                5   5   15      3
       - 30*m1 *m2 *n1  *n2 *n3*r496 - 15*m1 *m2 *n1  *n2*n3 *r496

               5   5   13   5                 5   5   13   3   3
       + 173*m1 *m2 *n1  *n2 *n3*r496 - 270*m1 *m2 *n1  *n2 *n3 *r496

              5   5   13      5          5   5   11   7
       - 60*m1 *m2 *n1  *n2*n3 *r496 + m1 *m2 *n1  *n2 *n3*r496

               5   5   11   5   3              5   5   11   3   5
       + 894*m1 *m2 *n1  *n2 *n3 *r496 - 450*m1 *m2 *n1  *n2 *n3 *r496

               5   5   9   9                 5   5   9   7   3
       - 357*m1 *m2 *n1 *n2 *n3*r496 + 225*m1 *m2 *n1 *n2 *n3 *r496

                5   5   9   5   5             5   5   7   11
       + 1296*m1 *m2 *n1 *n2 *n3 *r496 + 90*m1 *m2 *n1 *n2  *n3*r496

                5   5   7   9   3              5   5   5   13
       - 1071*m1 *m2 *n1 *n2 *n3 *r496 + 205*m1 *m2 *n1 *n2  *n3*r496

              5   5   5   11   3               5   5   5   9   5
       + 48*m1 *m2 *n1 *n2  *n3 *r496 - 1296*m1 *m2 *n1 *n2 *n3 *r496

              5   5   3   15                 5   5   3   13   3
       - 45*m1 *m2 *n1 *n2  *n3*r496 + 240*m1 *m2 *n1 *n2  *n3 *r496

               5   5   3   11   5            5   5      17
       + 450*m1 *m2 *n1 *n2  *n3 *r496 - 5*m1 *m2 *n1*n2  *n3*r496

              5   5      15   3             5   5      13   5
       + 45*m1 *m2 *n1*n2  *n3 *r496 + 60*m1 *m2 *n1*n2  *n3 *r496

             5   4   16   3               5   4   16      3
       + 8*m1 *m2 *n1  *n2 *n3*r483 - 6*m1 *m2 *n1  *n2*n3 *r483

              5   4   14   5                5   4   14   3   3
       - 32*m1 *m2 *n1  *n2 *n3*r483 + 90*m1 *m2 *n1  *n2 *n3 *r483

              5   4   14      5             5   4   12   7
       - 24*m1 *m2 *n1  *n2*n3 *r483 - 48*m1 *m2 *n1  *n2 *n3*r483

              5   4   12   5   3              5   4   12   3   5
       - 78*m1 *m2 *n1  *n2 *n3 *r483 + 156*m1 *m2 *n1  *n2 *n3 *r483

              5   4   10   9                 5   4   10   7   3
       + 72*m1 *m2 *n1  *n2 *n3*r483 - 270*m1 *m2 *n1  *n2 *n3 *r483

              5   4   10   5   5             5   4   8   11
       - 36*m1 *m2 *n1  *n2 *n3 *r483 + 72*m1 *m2 *n1 *n2  *n3*r483

               5   4   8   9   3              5   4   8   7   5
       + 114*m1 *m2 *n1 *n2 *n3 *r483 - 336*m1 *m2 *n1 *n2 *n3 *r483

              5   4   6   13                 5   4   6   11   3
       - 48*m1 *m2 *n1 *n2  *n3*r483 + 210*m1 *m2 *n1 *n2  *n3 *r483

               5   4   6   9   5             5   4   4   15
       + 120*m1 *m2 *n1 *n2 *n3 *r483 - 32*m1 *m2 *n1 *n2  *n3*r483

              5   4   4   13   3              5   4   4   11   5
       - 30*m1 *m2 *n1 *n2  *n3 *r483 + 180*m1 *m2 *n1 *n2  *n3 *r483

             5   4   2   17                5   4   2   15   3
       + 8*m1 *m2 *n1 *n2  *n3*r483 - 30*m1 *m2 *n1 *n2  *n3 *r483

              5   4   2   13   5            4   6   16   2
       - 60*m1 *m2 *n1 *n2  *n3 *r483 - 5*m1 *m2 *n1  *n2 *n3*r496

              4   6   14   4                4   6   14   2   3
       - 45*m1 *m2 *n1  *n2 *n3*r496 - 75*m1 *m2 *n1  *n2 *n3 *r496

               4   6   12   6                 4   6   12   4   3
       + 205*m1 *m2 *n1  *n2 *n3*r496 - 390*m1 *m2 *n1  *n2 *n3 *r496

               4   6   12   2   5             4   6   10   8
       - 150*m1 *m2 *n1  *n2 *n3 *r496 + 90*m1 *m2 *n1  *n2 *n3*r496

               4   6   10   6   3              4   6   10   4   5
       + 865*m1 *m2 *n1  *n2 *n3 *r496 - 530*m1 *m2 *n1  *n2 *n3 *r496

               4   6   8   10                 4   6   8   8   3
       - 357*m1 *m2 *n1 *n2  *n3*r496 + 494*m1 *m2 *n1 *n2 *n3 *r496

                4   6   8   6   5          4   6   6   12
       + 1154*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *n3*r496

               4   6   6   10   3              4   6   6   8   5
       - 971*m1 *m2 *n1 *n2  *n3 *r496 + 196*m1 *m2 *n1 *n2 *n3 *r496

               4   6   4   14                 4   6   4   12   3
       + 173*m1 *m2 *n1 *n2  *n3*r496 - 134*m1 *m2 *n1 *n2  *n3 *r496

                4   6   4   10   5             4   6   2   16
       - 1070*m1 *m2 *n1 *n2  *n3 *r496 - 30*m1 *m2 *n1 *n2  *n3*r496

               4   6   2   14   3              4   6   2   12   5
       + 161*m1 *m2 *n1 *n2  *n3 *r496 + 278*m1 *m2 *n1 *n2  *n3 *r496

              4   6   16   3             4   6   14   5
       + 10*m1 *m2 *n2  *n3 *r496 + 10*m1 *m2 *n2  *n3 *r496

             4   5   17   2                4   5   15   4
       - 2*m1 *m2 *n1  *n2 *n3*r483 + 28*m1 *m2 *n1  *n2 *n3*r483

              4   5   15   2   3            4   5   13   6
       - 30*m1 *m2 *n1  *n2 *n3 *r483 - 8*m1 *m2 *n1  *n2 *n3*r483

               4   5   13   4   3             4   5   13   2   5
       + 150*m1 *m2 *n1  *n2 *n3 *r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

               4   5   11   8                4   5   11   6   3
       - 108*m1 *m2 *n1  *n2 *n3*r483 + 90*m1 *m2 *n1  *n2 *n3 *r483

               4   5   11   4   5              4   5   9   8   3
       + 180*m1 *m2 *n1  *n2 *n3 *r483 - 330*m1 *m2 *n1 *n2 *n3 *r483

               4   5   9   6   5              4   5   7   12
       + 120*m1 *m2 *n1 *n2 *n3 *r483 + 108*m1 *m2 *n1 *n2  *n3*r483

               4   5   7   10   3              4   5   7   8   5
       - 102*m1 *m2 *n1 *n2  *n3 *r483 - 336*m1 *m2 *n1 *n2 *n3 *r483

             4   5   5   14                 4   5   5   12   3
       + 8*m1 *m2 *n1 *n2  *n3*r483 + 198*m1 *m2 *n1 *n2  *n3 *r483

              4   5   5   10   5             4   5   3   16
       - 36*m1 *m2 *n1 *n2  *n3 *r483 - 28*m1 *m2 *n1 *n2  *n3*r483

              4   5   3   14   3              4   5   3   12   5
       + 42*m1 *m2 *n1 *n2  *n3 *r483 + 156*m1 *m2 *n1 *n2  *n3 *r483

             4   5      18                4   5      16   3
       + 2*m1 *m2 *n1*n2  *n3*r483 - 18*m1 *m2 *n1*n2  *n3 *r483

              4   5      14   5             3   7   15   3
       - 24*m1 *m2 *n1*n2  *n3 *r483 - 20*m1 *m2 *n1  *n2 *n3*r496

              3   7   13   5                 3   7   13   3   3
       - 60*m1 *m2 *n1  *n2 *n3*r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

               3   7   11   7                 3   7   11   5   3
       + 180*m1 *m2 *n1  *n2 *n3*r496 - 455*m1 *m2 *n1  *n2 *n3 *r496

               3   7   11   3   5              3   7   9   9
       - 200*m1 *m2 *n1  *n2 *n3 *r496 + 155*m1 *m2 *n1 *n2 *n3*r496

               3   7   9   7   3              3   7   9   5   5
       + 575*m1 *m2 *n1 *n2 *n3 *r496 - 478*m1 *m2 *n1 *n2 *n3 *r496

               3   7   7   11                 3   7   7   9   3
       - 252*m1 *m2 *n1 *n2  *n3*r496 + 586*m1 *m2 *n1 *n2 *n3 *r496

               3   7   7   7   5             3   7   5   13
       + 736*m1 *m2 *n1 *n2 *n3 *r496 - 78*m1 *m2 *n1 *n2  *n3*r496

               3   7   5   11   3              3   7   5   9   5
       - 584*m1 *m2 *n1 *n2  *n3 *r496 + 292*m1 *m2 *n1 *n2 *n3 *r496

               3   7   3   15                 3   7   3   13   3
       + 100*m1 *m2 *n1 *n2  *n3*r496 - 211*m1 *m2 *n1 *n2  *n3 *r496

               3   7   3   11   5            3   7      17
       - 616*m1 *m2 *n1 *n2  *n3 *r496 - 9*m1 *m2 *n1*n2  *n3*r496

              3   7      15   3              3   7      13   5
       + 79*m1 *m2 *n1*n2  *n3 *r496 + 106*m1 *m2 *n1*n2  *n3 *r496

             3   6   16   3                3   6   14   5
       - 8*m1 *m2 *n1  *n2 *n3*r483 + 32*m1 *m2 *n1  *n2 *n3*r483

              3   6   14   3   3             3   6   12   7
       - 60*m1 *m2 *n1  *n2 *n3 *r483 + 48*m1 *m2 *n1  *n2 *n3*r483

               3   6   12   5   3             3   6   12   3   5
       + 100*m1 *m2 *n1  *n2 *n3 *r483 - 80*m1 *m2 *n1  *n2 *n3 *r483

              3   6   10   9                 3   6   10   7   3
       - 72*m1 *m2 *n1  *n2 *n3*r483 + 220*m1 *m2 *n1  *n2 *n3 *r483

               3   6   10   5   5             3   6   8   11
       + 100*m1 *m2 *n1  *n2 *n3 *r483 - 72*m1 *m2 *n1 *n2  *n3*r483

               3   6   8   9   3              3   6   8   7   5
       - 148*m1 *m2 *n1 *n2 *n3 *r483 + 188*m1 *m2 *n1 *n2 *n3 *r483

              3   6   6   13                 3   6   6   11   3
       + 48*m1 *m2 *n1 *n2  *n3*r483 - 204*m1 *m2 *n1 *n2  *n3 *r483

               3   6   6   9   5             3   6   4   15
       - 168*m1 *m2 *n1 *n2 *n3 *r483 + 32*m1 *m2 *n1 *n2  *n3*r483

              3   6   4   13   3              3   6   4   11   5
       + 52*m1 *m2 *n1 *n2  *n3 *r483 - 104*m1 *m2 *n1 *n2  *n3 *r483

             3   6   2   17                3   6   2   15   3
       - 8*m1 *m2 *n1 *n2  *n3*r483 + 44*m1 *m2 *n1 *n2  *n3 *r483

              3   6   2   13   5            3   6   17   3
       + 68*m1 *m2 *n1 *n2  *n3 *r483 - 4*m1 *m2 *n2  *n3 *r483

             3   6   15   5             2   8   14   4
       - 4*m1 *m2 *n2  *n3 *r483 - 30*m1 *m2 *n1  *n2 *n3*r496

              2   8   12   6                 2   8   12   4   3
       - 75*m1 *m2 *n1  *n2 *n3*r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

              2   8   10   8                 2   8   10   6   3
       + 86*m1 *m2 *n1  *n2 *n3*r496 - 387*m1 *m2 *n1  *n2 *n3 *r496

               2   8   10   4   5              2   8   8   10
       - 150*m1 *m2 *n1  *n2 *n3 *r496 + 146*m1 *m2 *n1 *n2  *n3*r496

               2   8   8   8   3              2   8   8   6   5
       + 204*m1 *m2 *n1 *n2 *n3 *r496 - 306*m1 *m2 *n1 *n2 *n3 *r496

              2   8   6   12                 2   8   6   10   3
       - 90*m1 *m2 *n1 *n2  *n3*r496 + 435*m1 *m2 *n1 *n2  *n3 *r496

               2   8   6   8   5             2   8   4   14
       + 306*m1 *m2 *n1 *n2 *n3 *r496 - 79*m1 *m2 *n1 *n2  *n3*r496

               2   8   4   12   3              2   8   4   10   5
       - 162*m1 *m2 *n1 *n2  *n3 *r496 + 228*m1 *m2 *n1 *n2  *n3 *r496

              2   8   2   16                 2   8   2   14   3
       + 26*m1 *m2 *n1 *n2  *n3*r496 - 138*m1 *m2 *n1 *n2  *n3 *r496

               2   8   2   12   5             2   8   16   3
       - 216*m1 *m2 *n1 *n2  *n3 *r496 + 18*m1 *m2 *n2  *n3 *r496

              2   8   14   5             2   7   15   4
       + 18*m1 *m2 *n2  *n3 *r496 - 12*m1 *m2 *n1  *n2 *n3*r483

             2   7   13   6                2   7   13   4   3
       + 8*m1 *m2 *n1  *n2 *n3*r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

              2   7   11   8                2   7   11   4   5
       + 52*m1 *m2 *n1  *n2 *n3*r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

               2   7   9   8   3             2   7   9   6   5
       + 156*m1 *m2 *n1 *n2 *n3 *r483 + 12*m1 *m2 *n1 *n2 *n3 *r483

              2   7   7   12                2   7   7   10   3
       - 52*m1 *m2 *n1 *n2  *n3*r483 + 24*m1 *m2 *n1 *n2  *n3 *r483

               2   7   7   8   5            2   7   5   14
       + 120*m1 *m2 *n1 *n2 *n3 *r483 - 8*m1 *m2 *n1 *n2  *n3*r483

               2   7   5   12   3             2   7   5   10   5
       - 108*m1 *m2 *n1 *n2  *n3 *r483 - 24*m1 *m2 *n1 *n2  *n3 *r483

              2   7   3   16                2   7   3   14   3
       + 12*m1 *m2 *n1 *n2  *n3*r483 - 24*m1 *m2 *n1 *n2  *n3 *r483

              2   7   3   12   5             2   7      16   3
       - 60*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1*n2  *n3 *r483

              2   7      14   5                9   13   5
       + 12*m1 *m2 *n1*n2  *n3 *r483 - 20*m1*m2 *n1  *n2 *n3*r496

                 9   11   7                   9   11   5   3
       - 54*m1*m2 *n1  *n2 *n3*r496 - 75*m1*m2 *n1  *n2 *n3 *r496

                9   9   9                    9   9   7   3
       + 5*m1*m2 *n1 *n2 *n3*r496 - 192*m1*m2 *n1 *n2 *n3 *r496

                 9   9   5   5                9   7   11
       - 60*m1*m2 *n1 *n2 *n3 *r496 + 67*m1*m2 *n1 *n2  *n3*r496

                9   7   9   3                 9   7   7   5
       + 8*m1*m2 *n1 *n2 *n3 *r496 - 118*m1*m2 *n1 *n2 *n3 *r496

                9   5   13                    9   5   11   3
       + 3*m1*m2 *n1 *n2  *n3*r496 + 178*m1*m2 *n1 *n2  *n3 *r496

                 9   5   9   5                9   3   15
       + 70*m1*m2 *n1 *n2 *n3 *r496 - 25*m1*m2 *n1 *n2  *n3*r496

                 9   3   13   3                9   3   11   5
       + 19*m1*m2 *n1 *n2  *n3 *r496 + 94*m1*m2 *n1 *n2  *n3 *r496

                 9      15   3                9      13   5
       - 34*m1*m2 *n1*n2  *n3 *r496 - 34*m1*m2 *n1*n2  *n3 *r496

                8   14   5                  8   12   7
       - 8*m1*m2 *n1  *n2 *n3*r483 - 8*m1*m2 *n1  *n2 *n3*r483

                 8   12   5   3                8   10   9
       - 30*m1*m2 *n1  *n2 *n3 *r483 + 16*m1*m2 *n1  *n2 *n3*r483

                 8   10   7   3                8   10   5   5
       - 30*m1*m2 *n1  *n2 *n3 *r483 - 24*m1*m2 *n1  *n2 *n3 *r483

                 8   8   11                   8   8   9   3
       + 16*m1*m2 *n1 *n2  *n3*r483 + 42*m1*m2 *n1 *n2 *n3 *r483

                 8   8   7   5               8   6   13
       - 12*m1*m2 *n1 *n2 *n3 *r483 - 8*m1*m2 *n1 *n2  *n3*r483

                 8   6   11   3                8   6   9   5
       + 42*m1*m2 *n1 *n2  *n3 *r483 + 36*m1*m2 *n1 *n2 *n3 *r483

                8   4   15                   8   4   13   3
       - 8*m1*m2 *n1 *n2  *n3*r483 - 12*m1*m2 *n1 *n2  *n3 *r483

                 8   4   11   5                8   2   15   3
       + 12*m1*m2 *n1 *n2  *n3 *r483 - 12*m1*m2 *n1 *n2  *n3 *r483

                 8   2   13   5            10   12   6
       - 12*m1*m2 *n1 *n2  *n3 *r483 - 5*m2  *n1  *n2 *n3*r496

              10   10   8                10   10   6   3
       - 15*m2  *n1  *n2 *n3*r496 - 15*m2  *n1  *n2 *n3 *r496

             10   8   10                10   8   8   3
       - 7*m2  *n1 *n2  *n3*r496 - 40*m2  *n1 *n2 *n3 *r496

              10   8   6   5             10   6   12
       - 10*m2  *n1 *n2 *n3 *r496 + 11*m2  *n1 *n2  *n3*r496

              10   6   10   3             10   6   8   5
       - 11*m2  *n1 *n2  *n3 *r496 - 20*m2  *n1 *n2 *n3 *r496

             10   4   14                10   4   12   3
       + 8*m2  *n1 *n2  *n3*r496 + 30*m2  *n1 *n2  *n3 *r496

             10   4   10   5             10   2   14   3
       + 6*m2  *n1 *n2  *n3 *r496 + 16*m2  *n1 *n2  *n3 *r496

              10   2   12   5            9   13   6
       + 16*m2  *n1 *n2  *n3 *r496 - 2*m2 *n1  *n2 *n3*r483

             9   11   8               9   11   6   3
       - 4*m2 *n1  *n2 *n3*r483 - 6*m2 *n1  *n2 *n3 *r483

              9   9   8   3            9   9   6   5
       - 10*m2 *n1 *n2 *n3 *r483 - 4*m2 *n1 *n2 *n3 *r483

             9   7   12               9   7   10   3
       + 4*m2 *n1 *n2  *n3*r483 + 2*m2 *n1 *n2  *n3 *r483

             9   7   8   5            9   5   14
       - 4*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1 *n2  *n3*r483

              9   5   12   3            9   5   10   5
       + 10*m2 *n1 *n2  *n3 *r483 + 4*m2 *n1 *n2  *n3 *r483

             9   3   14   3            9   3   12   5
       + 4*m2 *n1 *n2  *n3 *r483 + 4*m2 *n1 *n2  *n3 *r483)/(

           9   12   5   2           9   12   3   4           9   10   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 4*a33*m1 *n1  *n2 *n3

              9   10   5   4           9   8   9   2           9   8   7   4
    - 8*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              9   6   11   2           9   6   9   4           8      13   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1  *n2

               8      13   4   2            8      13   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

              8      11   8            8      11   6   2
    + 8*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

               8      11   4   4            8      9   8   2
    - 24*a33*m1 *m2*n1  *n2 *n3  + 36*a33*m1 *m2*n1 *n2 *n3

               8      9   6   4           8      7   12
    - 72*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               8      7   10   2            8      7   8   4
    + 12*a33*m1 *m2*n1 *n2  *n3  + 24*a33*m1 *m2*n1 *n2 *n3

              8      5   14            8      5   12   2
    - 4*a33*m1 *m2*n1 *n2   - 12*a33*m1 *m2*n1 *n2  *n3

               8      5   10   4            7   2   14   5
    + 48*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   14   3   2            7   2   14      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               7   2   12   7            7   2   12   5   2
    - 16*a33*m1 *m2 *n1  *n2  - 48*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   3   4            7   2   10   9
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 32*a33*m1 *m2 *n1  *n2

                7   2   10   7   2            7   2   10   5   4
    - 144*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   8   11            7   2   8   9   2
    + 32*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2 *n3

                7   2   8   7   4            7   2   6   13
    - 240*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

               7   2   6   11   2            7   2   6   9   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2 *n3

               7   2   4   15             7   2   4   11   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   15   4            6   3   15   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   15   4            6   3   13   6
    + 8*a33*m1 *m2 *n1  *n3  - 16*a33*m1 *m2 *n1  *n2

                6   3   13   4   2             6   3   13   2   4
    + 176*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   8             6   3   11   6   2
    - 104*a33*m1 *m2 *n1  *n2  + 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   4   4             6   3   9   8   2
    + 208*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                6   3   9   6   4             6   3   7   12
    + 336*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

                6   3   7   10   2             6   3   7   8   4
    - 136*a33*m1 *m2 *n1 *n2  *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               6   3   5   14             6   3   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 160*a33*m1 *m2 *n1 *n2  *n3

                6   3   5   10   4            6   3   3   16
    - 200*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   14   2             6   3   3   12   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   16   3            5   4   16      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   14   5             5   4   14   3   2
    + 64*a33*m1 *m2 *n1  *n2  - 180*a33*m1 *m2 *n1  *n2 *n3

               5   4   14      4            5   4   12   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 96*a33*m1 *m2 *n1  *n2

                5   4   12   5   2             5   4   12   3   4
    + 156*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1  *n2 *n3

                5   4   10   9             5   4   10   7   2
    - 144*a33*m1 *m2 *n1  *n2  + 540*a33*m1 *m2 *n1  *n2 *n3

               5   4   10   5   4             5   4   8   11
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1 *n2

                5   4   8   9   2             5   4   8   7   4
    - 228*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

               5   4   6   13             5   4   6   11   2
    + 96*a33*m1 *m2 *n1 *n2   - 420*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   9   4            5   4   4   15
    - 240*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2

               5   4   4   13   2             5   4   4   11   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  - 360*a33*m1 *m2 *n1 *n2  *n3

               5   4   2   17            5   4   2   15   2
    - 16*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   2   13   4           4   5   17   2
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1  *n2

               4   5   15   4            4   5   15   2   2
    - 56*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               4   5   13   6             4   5   13   4   2
    + 16*a33*m1 *m2 *n1  *n2  - 300*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   2   4             4   5   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 216*a33*m1 *m2 *n1  *n2

                4   5   11   6   2             4   5   11   4   4
    - 180*a33*m1 *m2 *n1  *n2 *n3  - 360*a33*m1 *m2 *n1  *n2 *n3

                4   5   9   8   2             4   5   9   6   4
    + 660*a33*m1 *m2 *n1 *n2 *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

                4   5   7   12             4   5   7   10   2
    - 216*a33*m1 *m2 *n1 *n2   + 204*a33*m1 *m2 *n1 *n2  *n3

                4   5   7   8   4            4   5   5   14
    + 672*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                4   5   5   12   2            4   5   5   10   4
    - 396*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

               4   5   3   16            4   5   3   14   2
    + 56*a33*m1 *m2 *n1 *n2   - 84*a33*m1 *m2 *n1 *n2  *n3

                4   5   3   12   4           4   5      18
    - 312*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2

               4   5      16   2            4   5      14   4
    + 36*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

               3   6   16   3            3   6   14   5
    + 16*a33*m1 *m2 *n1  *n2  - 64*a33*m1 *m2 *n1  *n2

                3   6   14   3   2            3   6   12   7
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 96*a33*m1 *m2 *n1  *n2

                3   6   12   5   2             3   6   12   3   4
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   9             3   6   10   7   2
    + 144*a33*m1 *m2 *n1  *n2  - 440*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   5   4             3   6   8   11
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1 *n2

                3   6   8   9   2             3   6   8   7   4
    + 296*a33*m1 *m2 *n1 *n2 *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               3   6   6   13             3   6   6   11   2
    - 96*a33*m1 *m2 *n1 *n2   + 408*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   9   4            3   6   4   15
    + 336*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2

                3   6   4   13   2             3   6   4   11   4
    - 104*a33*m1 *m2 *n1 *n2  *n3  + 208*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   17            3   6   2   15   2
    + 16*a33*m1 *m2 *n1 *n2   - 88*a33*m1 *m2 *n1 *n2  *n3

                3   6   2   13   4           3   6   17   2
    - 136*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   15   4            2   7   15   4            2   7   13   6
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2

                2   7   13   4   2             2   7   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                2   7   11   4   4             2   7   9   8   2
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1 *n2 *n3

               2   7   9   6   4             2   7   7   12
    - 24*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

               2   7   7   10   2             2   7   7   8   4
    - 48*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

               2   7   5   14             2   7   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 216*a33*m1 *m2 *n1 *n2  *n3

               2   7   5   10   4            2   7   3   16
    + 48*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   7   3   14   2             2   7   3   12   4
    + 48*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

               2   7      16   2            2   7      14   4
    - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  8   14   5               8   12   7
    + 16*a33*m1*m2 *n1  *n2  + 16*a33*m1*m2 *n1  *n2

                  8   12   5   2               8   10   9
    + 60*a33*m1*m2 *n1  *n2 *n3  - 32*a33*m1*m2 *n1  *n2

                  8   10   7   2               8   10   5   4
    + 60*a33*m1*m2 *n1  *n2 *n3  + 48*a33*m1*m2 *n1  *n2 *n3

                  8   8   11               8   8   9   2
    - 32*a33*m1*m2 *n1 *n2   - 84*a33*m1*m2 *n1 *n2 *n3

                  8   8   7   4               8   6   13
    + 24*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2

                  8   6   11   2               8   6   9   4
    - 84*a33*m1*m2 *n1 *n2  *n3  - 72*a33*m1*m2 *n1 *n2 *n3

                  8   4   15               8   4   13   2
    + 16*a33*m1*m2 *n1 *n2   + 24*a33*m1*m2 *n1 *n2  *n3

                  8   4   11   4               8   2   15   2
    - 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                  8   2   13   4           9   13   6           9   11   8
    + 24*a33*m1*m2 *n1 *n2  *n3  + 4*a33*m2 *n1  *n2  + 8*a33*m2 *n1  *n2

               9   11   6   2            9   9   8   2           9   9   6   4
    + 12*a33*m2 *n1  *n2 *n3  + 20*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3

              9   7   12           9   7   10   2           9   7   8   4
    - 8*a33*m2 *n1 *n2   - 4*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3

              9   5   14            9   5   12   2           9   5   10   4
    - 4*a33*m2 *n1 *n2   - 20*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   14   2           9   3   12   4
    - 8*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3 )


           2   10      9   5   2             2   10      9   3   4
r311=(4*a33 *m1  *m2*n1 *n2 *n3 *r214 - 8*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      7   7   2             2   10      7   5   4
       + 4*a33 *m1  *m2*n1 *n2 *n3 *r214 - 8*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   9   2   10   6              2   9   2   10   4   2
       + 4*a33 *m1 *m2 *n1  *n2 *r214 - 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   2   10   2   4             2   9   2   8   8
       + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2 *r214

              2   9   2   8   6   2              2   9   2   8   4   4
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9   2   6   10              2   9   2   6   8   2
       + 4*a33 *m1 *m2 *n1 *n2  *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   6   6   4             2   9      11   4   2
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      11   2   4             2   9      9   6   2
       - 4*a33 *m1 *m2*n1  *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   9      9   4   4             2   9      7   8   2
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   9      7   6   4              2   8   3   11   5
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   8   3   11   3   2              2   8   3   11      4
       + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   8   3   9   7              2   8   3   9   5   2
       - 12*a33 *m1 *m2 *n1 *n2 *r214 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   3   9   3   4              2   8   3   7   9
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2 *r214

                2   8   3   7   7   2              2   8   3   5   11
       - 108*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 20*a33 *m1 *m2 *n1 *n2  *r214

               2   8   3   5   9   2               2   8   3   5   7   4
       + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   8   2   12   5              2   8   2   12   3   2
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   12      4             2   8   2   10   7
       + 8*a33 *m1 *m2 *n1  *n2*n3 *r216 + 6*a33 *m1 *m2 *n1  *n2 *r216

               2   8   2   10   5   2              2   8   2   10   3   4
       - 12*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   8   2   8   9             2   8   2   8   7   2
       + 6*a33 *m1 *m2 *n1 *n2 *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   8   5   4             2   8   2   6   11
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

              2   8   2   6   9   2              2   8   2   6   7   4
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   4   12   4              2   7   4   12   2   2
       + 24*a33 *m1 *m2 *n1  *n2 *r214 - 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   4   12   4              2   7   4   10   6
       + 8*a33 *m1 *m2 *n1  *n3 *r214 - 32*a33 *m1 *m2 *n1  *n2 *r214

                2   7   4   10   4   2               2   7   4   10   2   4
       + 224*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 160*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   4   8   8              2   7   4   8   6   2
       - 96*a33 *m1 *m2 *n1 *n2 *r214 + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   8   4   4               2   7   4   6   8   2
       + 336*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 256*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   6   6   4              2   7   4   4   12
       + 224*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   4   10   2               2   7   4   4   8   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 280*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   3   13   4              2   7   3   13   2   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 14*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   13   4             2   7   3   11   6
       - 4*a33 *m1 *m2 *n1  *n3 *r216 - 8*a33 *m1 *m2 *n1  *n2 *r216

               2   7   3   11   4   2              2   7   3   11   2   4
       - 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 48*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   9   8              2   7   3   9   6   2
       + 12*a33 *m1 *m2 *n1 *n2 *r216 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   9   4   4              2   7   3   7   10
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2  *r216

               2   7   3   7   8   2               2   7   3   7   6   4
       - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   5   12             2   7   3   5   10   2
       + 10*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   5   8   4              2   6   5   13   3
       - 84*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   6   5   13      2              2   6   5   11   5
       + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 88*a33 *m1 *m2 *n1  *n2 *r214

                2   6   5   11   3   2              2   6   5   11      4
       - 220*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   6   5   9   7               2   6   5   9   5   2
       + 64*a33 *m1 *m2 *n1 *n2 *r214 + 344*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   5   9   3   4               2   6   5   7   9
       - 448*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 160*a33 *m1 *m2 *n1 *n2 *r214

                2   6   5   7   7   2               2   6   5   7   5   4
       + 456*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 336*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   5   11               2   6   5   5   9   2
       - 80*a33 *m1 *m2 *n1 *n2  *r214 - 220*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   5   5   7   4              2   6   5   3   13
       + 560*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1 *n2  *r214

                2   6   5   3   11   2               2   6   5   3   9   4
       - 100*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 280*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   6   4   14   3             2   6   4   14      2
       + 6*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   6   4   12   5              2   6   4   12   3   2
       - 12*a33 *m1 *m2 *n1  *n2 *r216 + 68*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   12      4              2   6   4   10   7
       - 28*a33 *m1 *m2 *n1  *n2*n3 *r216 - 52*a33 *m1 *m2 *n1  *n2 *r216

               2   6   4   10   5   2               2   6   4   10   3   4
       + 52*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 112*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   8   9               2   6   4   8   7   2
       - 24*a33 *m1 *m2 *n1 *n2 *r216 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   4   8   5   4              2   6   4   6   11
       + 168*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 30*a33 *m1 *m2 *n1 *n2  *r216

                2   6   4   6   9   2               2   6   4   6   7   4
       - 142*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   4   13              2   6   4   4   11   2
       + 20*a33 *m1 *m2 *n1 *n2  *r216 - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   4   4   9   4             2   5   6   14   2
       - 140*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   5   6   12   4              2   5   6   12   2   2
       - 72*a33 *m1 *m2 *n1  *n2 *r214 + 72*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   10   6               2   5   6   10   4   2
       + 84*a33 *m1 *m2 *n1  *n2 *r214 - 480*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   6   10   2   4               2   5   6   8   8
       + 168*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *r214

               2   5   6   8   6   2               2   5   6   8   4   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 672*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   6   10               2   5   6   6   8   2
       - 60*a33 *m1 *m2 *n1 *n2  *r214 + 720*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   6   4   12              2   5   6   4   10   2
       - 120*a33 *m1 *m2 *n1 *n2  *r214 + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   6   4   8   4              2   5   6   2   14
       + 672*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 20*a33 *m1 *m2 *n1 *n2  *r214

               2   5   6   2   12   2               2   5   6   2   10   4
       - 96*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 168*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   5   15   2              2   5   5   13   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 24*a33 *m1 *m2 *n1  *n2 *r216

               2   5   5   13   2   2              2   5   5   11   6
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1  *n2 *r216

                2   5   5   11   4   2              2   5   5   11   2   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 84*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   9   8               2   5   5   9   6   2
       - 72*a33 *m1 *m2 *n1 *n2 *r216 + 256*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   5   9   4   4              2   5   5   7   10
       + 112*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 90*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   7   8   2               2   5   5   7   6   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 336*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   5   5   10   2              2   5   5   3   14
       - 180*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   3   12   2               2   5   5   3   10   4
       - 50*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 140*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   7   13   3               2   4   7   11   5
       + 20*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *r214

                2   4   7   11   3   2              2   4   7   9   7
       + 180*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 60*a33 *m1 *m2 *n1 *n2 *r214

                2   4   7   9   5   2               2   4   7   9   3   4
       - 500*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 280*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   7   9               2   4   7   7   7   2
       + 240*a33 *m1 *m2 *n1 *n2 *r214 - 440*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   7   5   4              2   4   7   5   11
       - 560*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 84*a33 *m1 *m2 *n1 *n2  *r214

                2   4   7   5   9   2               2   4   7   5   7   4
       + 456*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 336*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   7   3   13               2   4   7   3   11   2
       - 72*a33 *m1 *m2 *n1 *n2  *r214 + 172*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   7   3   9   4             2   4   7      15
       + 448*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   4   7      13   2              2   4   7      11   4
       - 44*a33 *m1 *m2 *n1*n2  *n3 *r214 - 56*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   4   6   14   3              2   4   6   12   5
       - 10*a33 *m1 *m2 *n1  *n2 *r216 + 30*a33 *m1 *m2 *n1  *n2 *r216

               2   4   6   12   3   2              2   4   6   10   7
       - 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 90*a33 *m1 *m2 *n1  *n2 *r216

               2   4   6   10   5   2               2   4   6   10   3   4
       + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 140*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   8   7   2              2   4   6   6   11
       + 360*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 90*a33 *m1 *m2 *n1 *n2  *r216

                2   4   6   6   9   2               2   4   6   6   7   4
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 336*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   4   13              2   4   6   4   11   2
       - 30*a33 *m1 *m2 *n1 *n2  *r216 - 86*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   6   4   9   4              2   4   6   2   15
       + 112*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 10*a33 *m1 *m2 *n1 *n2  *r216

               2   4   6   2   13   2              2   4   6   2   11   4
       - 48*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 84*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   8   12   4              2   3   8   10   6
       + 40*a33 *m1 *m2 *n1  *n2 *r214 - 80*a33 *m1 *m2 *n1  *n2 *r214

                2   3   8   10   4   2               2   3   8   8   8
       + 240*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 160*a33 *m1 *m2 *n1 *n2 *r214

                2   3   8   8   6   2               2   3   8   8   4   4
       - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 280*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   6   10               2   3   8   6   8   2
       + 64*a33 *m1 *m2 *n1 *n2  *r214 - 512*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   6   6   4              2   3   8   4   12
       - 224*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2  *r214

               2   3   8   4   10   2               2   3   8   4   8   4
       + 48*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 336*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   2   14               2   3   8   2   12   2
       - 16*a33 *m1 *m2 *n1 *n2  *r214 + 112*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   2   10   4             2   3   8   14   2
       + 160*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2  *n3 *r214

              2   3   8   12   4              2   3   7   13   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 20*a33 *m1 *m2 *n1  *n2 *r216

                2   3   7   11   4   2              2   3   7   9   8
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 90*a33 *m1 *m2 *n1 *n2 *r216

                2   3   7   9   6   2               2   3   7   9   4   4
       - 110*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 140*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   7   10               2   3   7   7   8   2
       + 72*a33 *m1 *m2 *n1 *n2  *r216 + 200*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   7   7   6   4              2   3   7   5   12
       - 112*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2  *r216

                2   3   7   5   10   2               2   3   7   5   8   4
       + 228*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 168*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   3   14              2   3   7   3   12   2
       - 24*a33 *m1 *m2 *n1 *n2  *r216 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   7   3   10   4             2   3   7      16
       + 112*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 2*a33 *m1 *m2 *n1*n2  *r216

               2   3   7      14   2              2   3   7      12   4
       - 22*a33 *m1 *m2 *n1*n2  *n3 *r216 - 28*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   9   11   5               2   2   9   9   5   2
       + 40*a33 *m1 *m2 *n1  *n2 *r214 + 180*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   7   9              2   2   9   7   7   2
       - 96*a33 *m1 *m2 *n1 *n2 *r214 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   2   9   7   5   4              2   2   9   5   11
       + 168*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2  *r214

                2   2   9   5   9   2              2   2   9   3   13
       - 216*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *r214

               2   2   9   3   11   2               2   2   9   3   9   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9      13   2              2   2   9      11   4
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 24*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   2   8   12   5              2   2   8   10   7
       - 20*a33 *m1 *m2 *n1  *n2 *r216 - 30*a33 *m1 *m2 *n1  *n2 *r216

               2   2   8   10   5   2              2   2   8   8   9
       - 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r216

                2   2   8   8   7   2              2   2   8   8   5   4
       - 156*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   6   11             2   2   8   6   9   2
       + 52*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   8   6   7   4              2   2   8   4   13
       - 112*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2  *r216

               2   2   8   4   11   2              2   2   8   4   9   4
       + 96*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   2   15              2   2   8   2   13   2
       - 6*a33 *m1 *m2 *n1 *n2  *r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   2   11   4             2   2   8   15   2
       + 48*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   8   13   4              2      10   10   6
       - 4*a33 *m1 *m2 *n2  *n3 *r216 + 20*a33 *m1*m2  *n1  *n2 *r214

               2      10   8   8              2      10   8   6   2
       + 24*a33 *m1*m2  *n1 *n2 *r214 + 72*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   10              2      10   6   8   2
       - 12*a33 *m1*m2  *n1 *n2  *r214 + 80*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   6   4              2      10   4   12
       + 56*a33 *m1*m2  *n1 *n2 *n3 *r214 - 16*a33 *m1*m2  *n1 *n2  *r214

               2      10   4   10   2              2      10   4   8   4
       - 16*a33 *m1*m2  *n1 *n2  *n3 *r214 + 32*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   2   12   2              2      10   2   10   4
       - 24*a33 *m1*m2  *n1 *n2  *n3 *r214 - 24*a33 *m1*m2  *n1 *n2  *n3 *r214

               2      9   11   6              2      9   9   8
       - 10*a33 *m1*m2 *n1  *n2 *r216 - 24*a33 *m1*m2 *n1 *n2 *r216

               2      9   9   6   2              2      9   7   10
       - 36*a33 *m1*m2 *n1 *n2 *n3 *r216 - 12*a33 *m1*m2 *n1 *n2  *r216

               2      9   7   8   2              2      9   7   6   4
       - 82*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9   5   12              2      9   5   10   2
       + 8*a33 *m1*m2 *n1 *n2  *r216 - 48*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      9   5   8   4             2      9   3   14
       - 48*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2  *r216

              2      9   3   12   2              2      9   3   10   4
       + 6*a33 *m1*m2 *n1 *n2  *n3 *r216 - 12*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9      14   2             2      9      12   4
       + 8*a33 *m1*m2 *n1*n2  *n3 *r216 + 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2   11   9   7             2   11   7   9
       + 4*a33 *m2  *n1 *n2 *r214 + 8*a33 *m2  *n1 *n2 *r214

               2   11   7   7   2             2   11   5   11
       + 12*a33 *m2  *n1 *n2 *n3 *r214 + 4*a33 *m2  *n1 *n2  *r214

               2   11   5   9   2             2   11   5   7   4
       + 20*a33 *m2  *n1 *n2 *n3 *r214 + 8*a33 *m2  *n1 *n2 *n3 *r214

              2   11   3   11   2             2   11   3   9   4
       + 8*a33 *m2  *n1 *n2  *n3 *r214 + 8*a33 *m2  *n1 *n2 *n3 *r214

              2   10   10   7             2   10   8   9
       - 2*a33 *m2  *n1  *n2 *r216 - 6*a33 *m2  *n1 *n2 *r216

              2   10   8   7   2             2   10   6   11
       - 6*a33 *m2  *n1 *n2 *n3 *r216 - 6*a33 *m2  *n1 *n2  *r216

               2   10   6   9   2             2   10   6   7   4
       - 16*a33 *m2  *n1 *n2 *n3 *r216 - 4*a33 *m2  *n1 *n2 *n3 *r216

              2   10   4   13              2   10   4   11   2
       - 2*a33 *m2  *n1 *n2  *r216 - 14*a33 *m2  *n1 *n2  *n3 *r216

              2   10   4   9   4             2   10   2   13   2
       - 8*a33 *m2  *n1 *n2 *n3 *r216 - 4*a33 *m2  *n1 *n2  *n3 *r216

              2   10   2   11   4            10   12   5   2
       - 4*a33 *m2  *n1 *n2  *n3 *r216 + 4*m1  *n1  *n2 *n3 *r496

             10   12   3   4            10   10   7   2
       - 8*m1  *n1  *n2 *n3 *r496 - 2*m1  *n1  *n2 *n3 *r496

             10   10   5   4            10   8   9   2
       + 4*m1  *n1  *n2 *n3 *r496 - 4*m1  *n1 *n2 *n3 *r496

             10   8   7   4            10   6   11   2
       + 8*m1  *n1 *n2 *n3 *r496 + 2*m1  *n1 *n2  *n3 *r496

             10   6   9   4            9      13   6
       - 4*m1  *n1 *n2 *n3 *r496 + 4*m1 *m2*n1  *n2 *r496

              9      13   4   2             9      13   2   4
       - 20*m1 *m2*n1  *n2 *n3 *r496 + 16*m1 *m2*n1  *n2 *n3 *r496

             9      11   8             9      11   6   2
       + 2*m1 *m2*n1  *n2 *r496 + 35*m1 *m2*n1  *n2 *n3 *r496

              9      11   4   4            9      9   10
       - 82*m1 *m2*n1  *n2 *n3 *r496 - 6*m1 *m2*n1 *n2  *r496

              9      9   8   2            9      9   6   4
       + 16*m1 *m2*n1 *n2 *n3 *r496 + 4*m1 *m2*n1 *n2 *n3 *r496

             9      7   12             9      7   10   2
       - 2*m1 *m2*n1 *n2  *r496 - 33*m1 *m2*n1 *n2  *n3 *r496

              9      7   8   4            9      5   14
       + 78*m1 *m2*n1 *n2 *n3 *r496 + 2*m1 *m2*n1 *n2  *r496

             9      5   12   2             9      5   10   4
       + 6*m1 *m2*n1 *n2  *n3 *r496 - 24*m1 *m2*n1 *n2  *n3 *r496

           9   12   6   2            9   12   4   4          9   10   8   2
       + m1 *n1  *n2 *n3 *r483 - 2*m1 *n1  *n2 *n3 *r483 + m1 *n1  *n2 *n3 *r483

             9   10   6   4          9   8   10   2
       - 2*m1 *n1  *n2 *n3 *r483 - m1 *n1 *n2  *n3 *r483

             9   8   8   4          9   6   12   2
       + 2*m1 *n1 *n2 *n3 *r483 - m1 *n1 *n2  *n3 *r483

             9   6   10   4             8   2   14   5
       + 2*m1 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1  *n2 *r496

              8   2   14   3   2             8   2   14      4
       + 29*m1 *m2 *n1  *n2 *n3 *r496 - 10*m1 *m2 *n1  *n2*n3 *r496

              8   2   12   7              8   2   12   5   2
       + 23*m1 *m2 *n1  *n2 *r496 - 162*m1 *m2 *n1  *n2 *n3 *r496

               8   2   12   3   4             8   2   10   9
       + 150*m1 *m2 *n1  *n2 *n3 *r496 + 41*m1 *m2 *n1  *n2 *r496

              8   2   10   7   2              8   2   10   5   4
       + 51*m1 *m2 *n1  *n2 *n3 *r496 - 324*m1 *m2 *n1  *n2 *n3 *r496

              8   2   8   11              8   2   8   9   2
       - 27*m1 *m2 *n1 *n2  *r496 + 164*m1 *m2 *n1 *n2 *n3 *r496

               8   2   8   7   4             8   2   6   13
       - 118*m1 *m2 *n1 *n2 *n3 *r496 - 25*m1 *m2 *n1 *n2  *r496

              8   2   6   11   2              8   2   6   9   4
       - 78*m1 *m2 *n1 *n2  *n3 *r496 + 306*m1 *m2 *n1 *n2 *n3 *r496

             8   2   4   15             8   2   4   11   4
       + 8*m1 *m2 *n1 *n2  *r496 - 60*m1 *m2 *n1 *n2  *n3 *r496

           8      13   7            8      13   5   2
       + m1 *m2*n1  *n2 *r483 - 6*m1 *m2*n1  *n2 *n3 *r483

             8      13   3   4            8      11   9
       + 6*m1 *m2*n1  *n2 *n3 *r483 + 2*m1 *m2*n1  *n2 *r483

             8      11   7   2            8      11   5   4
       - 3*m1 *m2*n1  *n2 *n3 *r483 - 6*m1 *m2*n1  *n2 *n3 *r483

             8      9   9   2             8      9   7   4
       + 9*m1 *m2*n1 *n2 *n3 *r483 - 18*m1 *m2*n1 *n2 *n3 *r483

             8      7   13            8      7   11   2
       - 2*m1 *m2*n1 *n2  *r483 + 3*m1 *m2*n1 *n2  *n3 *r483

             8      7   9   4          8      5   15
       + 6*m1 *m2*n1 *n2 *n3 *r483 - m1 *m2*n1 *n2  *r483

             8      5   13   2             8      5   11   4
       - 3*m1 *m2*n1 *n2  *n3 *r483 + 12*m1 *m2*n1 *n2  *n3 *r483

              7   3   15   4             7   3   15   2   2
       + 13*m1 *m2 *n1  *n2 *r496 - 16*m1 *m2 *n1  *n2 *n3 *r496

             7   3   15   4             7   3   13   6
       + 2*m1 *m2 *n1  *n3 *r496 - 79*m1 *m2 *n1  *n2 *r496

               7   3   13   4   2             7   3   13   2   4
       + 231*m1 *m2 *n1  *n2 *n3 *r496 - 90*m1 *m2 *n1  *n2 *n3 *r496

             7   3   11   8              7   3   11   6   2
       - 2*m1 *m2 *n1  *n2 *r496 - 464*m1 *m2 *n1  *n2 *n3 *r496

               7   3   11   4   4              7   3   9   10
       + 580*m1 *m2 *n1  *n2 *n3 *r496 + 178*m1 *m2 *n1 *n2  *r496

               7   3   9   8   2              7   3   9   6   4
       - 234*m1 *m2 *n1 *n2 *n3 *r496 - 636*m1 *m2 *n1 *n2 *n3 *r496

             7   3   7   12              7   3   7   10   2
       - 7*m1 *m2 *n1 *n2  *r496 + 468*m1 *m2 *n1 *n2  *n3 *r496

               7   3   7   8   4             7   3   5   14
       - 582*m1 *m2 *n1 *n2 *n3 *r496 - 83*m1 *m2 *n1 *n2  *r496

              7   3   5   12   2              7   3   5   10   4
       - 29*m1 *m2 *n1 *n2  *n3 *r496 + 646*m1 *m2 *n1 *n2  *n3 *r496

              7   3   3   16             7   3   3   14   2
       + 12*m1 *m2 *n1 *n2  *r496 - 20*m1 *m2 *n1 *n2  *n3 *r496

              7   3   3   12   4            7   2   14   6
       - 80*m1 *m2 *n1 *n2  *n3 *r496 - 4*m1 *m2 *n1  *n2 *r483

              7   2   14   4   2            7   2   14   2   4
       + 12*m1 *m2 *n1  *n2 *n3 *r483 - 6*m1 *m2 *n1  *n2 *n3 *r483

             7   2   12   8             7   2   12   6   2
       - 4*m1 *m2 *n1  *n2 *r483 - 12*m1 *m2 *n1  *n2 *n3 *r483

              7   2   12   4   4            7   2   10   10
       + 30*m1 *m2 *n1  *n2 *n3 *r483 + 8*m1 *m2 *n1  *n2  *r483

              7   2   10   8   2             7   2   10   6   4
       - 36*m1 *m2 *n1  *n2 *n3 *r483 + 12*m1 *m2 *n1  *n2 *n3 *r483

             7   2   8   12             7   2   8   10   2
       + 8*m1 *m2 *n1 *n2  *r483 + 12*m1 *m2 *n1 *n2  *n3 *r483

              7   2   8   8   4            7   2   6   14
       - 60*m1 *m2 *n1 *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2  *r483

              7   2   6   12   2            7   2   6   10   4
       + 24*m1 *m2 *n1 *n2  *n3 *r483 - 6*m1 *m2 *n1 *n2  *n3 *r483

             7   2   4   16             7   2   4   12   4
       - 4*m1 *m2 *n1 *n2  *r483 + 30*m1 *m2 *n1 *n2  *n3 *r483

             6   4   16   3            6   4   16      2
       - 6*m1 *m2 *n1  *n2 *r496 + 3*m1 *m2 *n1  *n2*n3 *r496

              6   4   14   5              6   4   14   3   2
       + 88*m1 *m2 *n1  *n2 *r496 - 126*m1 *m2 *n1  *n2 *n3 *r496

              6   4   14      4              6   4   12   7
       + 18*m1 *m2 *n1  *n2*n3 *r496 - 162*m1 *m2 *n1  *n2 *r496

               6   4   12   5   2              6   4   12   3   4
       + 716*m1 *m2 *n1  *n2 *n3 *r496 - 334*m1 *m2 *n1  *n2 *n3 *r496

               6   4   10   9              6   4   10   7   2
       - 212*m1 *m2 *n1  *n2 *r496 - 522*m1 *m2 *n1  *n2 *n3 *r496

                6   4   10   5   4              6   4   8   11
       + 1224*m1 *m2 *n1  *n2 *n3 *r496 + 306*m1 *m2 *n1 *n2  *r496

               6   4   8   9   2              6   4   8   7   4
       - 981*m1 *m2 *n1 *n2 *n3 *r496 - 588*m1 *m2 *n1 *n2 *n3 *r496

               6   4   6   13              6   4   6   11   2
       + 132*m1 *m2 *n1 *n2  *r496 + 566*m1 *m2 *n1 *n2  *n3 *r496

                6   4   6   9   4              6   4   4   15
       - 1294*m1 *m2 *n1 *n2 *n3 *r496 - 122*m1 *m2 *n1 *n2  *r496

               6   4   4   13   2              6   4   4   11   4
       + 150*m1 *m2 *n1 *n2  *n3 *r496 + 810*m1 *m2 *n1 *n2  *n3 *r496

             6   4   2   17             6   4   2   15   2
       + 8*m1 *m2 *n1 *n2  *r496 - 30*m1 *m2 *n1 *n2  *n3 *r496

              6   4   2   13   4            6   3   15   5
       - 60*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n1  *n2 *r483

              6   3   15   3   2            6   3   15      4
       - 10*m1 *m2 *n1  *n2 *n3 *r483 + 2*m1 *m2 *n1  *n2*n3 *r483

             6   3   13   7             6   3   13   5   2
       - 4*m1 *m2 *n1  *n2 *r483 + 44*m1 *m2 *n1  *n2 *n3 *r483

              6   3   13   3   4             6   3   11   9
       - 34*m1 *m2 *n1  *n2 *n3 *r483 - 26*m1 *m2 *n1  *n2 *r483

              6   3   11   7   2             6   3   11   5   4
       + 34*m1 *m2 *n1  *n2 *n3 *r483 + 52*m1 *m2 *n1  *n2 *n3 *r483

              6   3   9   9   2             6   3   9   7   4
       - 84*m1 *m2 *n1 *n2 *n3 *r483 + 84*m1 *m2 *n1 *n2 *n3 *r483

              6   3   7   13             6   3   7   11   2
       + 26*m1 *m2 *n1 *n2  *r483 - 34*m1 *m2 *n1 *n2  *n3 *r483

              6   3   7   9   4            6   3   5   15
       - 94*m1 *m2 *n1 *n2 *n3 *r483 + 4*m1 *m2 *n1 *n2  *r483

              6   3   5   13   2             6   3   5   11   4
       + 40*m1 *m2 *n1 *n2  *n3 *r483 - 50*m1 *m2 *n1 *n2  *n3 *r483

             6   3   3   17             6   3   3   15   2
       - 6*m1 *m2 *n1 *n2  *r483 + 10*m1 *m2 *n1 *n2  *n3 *r483

              6   3   3   13   4          5   5   17   2
       + 40*m1 *m2 *n1 *n2  *n3 *r483 + m1 *m2 *n1  *n2 *r496

              5   5   15   4             5   5   15   2   2
       - 41*m1 *m2 *n1  *n2 *r496 + 24*m1 *m2 *n1  *n2 *n3 *r496

               5   5   13   6              5   5   13   4   2
       + 214*m1 *m2 *n1  *n2 *r496 - 390*m1 *m2 *n1  *n2 *n3 *r496

              5   5   13   2   4             5   5   11   8
       + 66*m1 *m2 *n1  *n2 *n3 *r496 - 70*m1 *m2 *n1  *n2 *r496

                5   5   11   6   2              5   5   11   4   4
       + 1123*m1 *m2 *n1  *n2 *n3 *r496 - 674*m1 *m2 *n1  *n2 *n3 *r496

               5   5   9   10             5   5   9   8   2
       - 501*m1 *m2 *n1 *n2  *r496 + 90*m1 *m2 *n1 *n2 *n3 *r496

                5   5   9   6   4              5   5   7   12
       + 1548*m1 *m2 *n1 *n2 *n3 *r496 + 183*m1 *m2 *n1 *n2  *r496

                5   5   7   10   2              5   5   5   14
       - 1548*m1 *m2 *n1 *n2  *n3 *r496 + 268*m1 *m2 *n1 *n2  *r496

               5   5   5   12   2               5   5   5   10   4
       + 178*m1 *m2 *n1 *n2  *n3 *r496 - 1646*m1 *m2 *n1 *n2  *n3 *r496

              5   5   3   16              5   5   3   14   2
       - 88*m1 *m2 *n1 *n2  *r496 + 261*m1 *m2 *n1 *n2  *n3 *r496

               5   5   3   12   4            5   5      18
       + 618*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n1*n2  *r496

              5   5      16   2             5   5      14   4
       - 18*m1 *m2 *n1*n2  *n3 *r496 - 24*m1 *m2 *n1*n2  *n3 *r496

             5   4   16   4            5   4   16   2   2
       - 4*m1 *m2 *n1  *n2 *r483 + 3*m1 *m2 *n1  *n2 *n3 *r483

              5   4   14   6             5   4   14   4   2
       + 16*m1 *m2 *n1  *n2 *r483 - 45*m1 *m2 *n1  *n2 *n3 *r483

              5   4   14   2   4             5   4   12   8
       + 12*m1 *m2 *n1  *n2 *n3 *r483 + 24*m1 *m2 *n1  *n2 *r483

              5   4   12   6   2             5   4   12   4   4
       + 39*m1 *m2 *n1  *n2 *n3 *r483 - 78*m1 *m2 *n1  *n2 *n3 *r483

              5   4   10   10              5   4   10   8   2
       - 36*m1 *m2 *n1  *n2  *r483 + 135*m1 *m2 *n1  *n2 *n3 *r483

              5   4   10   6   4             5   4   8   12
       + 18*m1 *m2 *n1  *n2 *n3 *r483 - 36*m1 *m2 *n1 *n2  *r483

              5   4   8   10   2              5   4   8   8   4
       - 57*m1 *m2 *n1 *n2  *n3 *r483 + 168*m1 *m2 *n1 *n2 *n3 *r483

              5   4   6   14              5   4   6   12   2
       + 24*m1 *m2 *n1 *n2  *r483 - 105*m1 *m2 *n1 *n2  *n3 *r483

              5   4   6   10   4             5   4   4   16
       - 60*m1 *m2 *n1 *n2  *n3 *r483 + 16*m1 *m2 *n1 *n2  *r483

              5   4   4   14   2             5   4   4   12   4
       + 15*m1 *m2 *n1 *n2  *n3 *r483 - 90*m1 *m2 *n1 *n2  *n3 *r483

             5   4   2   18             5   4   2   16   2
       - 4*m1 *m2 *n1 *n2  *r483 + 15*m1 *m2 *n1 *n2  *n3 *r483

              5   4   2   14   4            4   6   16   3
       + 30*m1 *m2 *n1 *n2  *n3 *r483 + 7*m1 *m2 *n1  *n2 *r496

               4   6   14   5             4   6   14   3   2
       - 103*m1 *m2 *n1  *n2 *r496 + 75*m1 *m2 *n1  *n2 *n3 *r496

               4   6   12   7              4   6   12   5   2
       + 233*m1 *m2 *n1  *n2 *r496 - 620*m1 *m2 *n1  *n2 *n3 *r496

               4   6   12   3   4              4   6   10   9
       + 130*m1 *m2 *n1  *n2 *n3 *r496 + 183*m1 *m2 *n1  *n2 *r496

               4   6   10   7   2              4   6   10   5   4
       + 930*m1 *m2 *n1  *n2 *n3 *r496 - 810*m1 *m2 *n1  *n2 *n3 *r496

               4   6   8   11              4   6   8   9   2
       - 501*m1 *m2 *n1 *n2  *r496 + 860*m1 *m2 *n1 *n2 *n3 *r496

                4   6   8   7   4             4   6   6   13
       + 1196*m1 *m2 *n1 *n2 *n3 *r496 - 91*m1 *m2 *n1 *n2  *r496

                4   6   6   11   2              4   6   6   9   4
       - 1215*m1 *m2 *n1 *n2  *n3 *r496 + 588*m1 *m2 *n1 *n2 *n3 *r496

               4   6   4   15              4   6   4   13   2
       + 221*m1 *m2 *n1 *n2  *r496 - 264*m1 *m2 *n1 *n2  *n3 *r496

                4   6   4   11   4             4   6   2   17
       - 1266*m1 *m2 *n1 *n2  *n3 *r496 - 29*m1 *m2 *n1 *n2  *r496

               4   6   2   15   2              4   6   2   13   4
       + 182*m1 *m2 *n1 *n2  *n3 *r496 + 278*m1 *m2 *n1 *n2  *n3 *r496

             4   6   17   2            4   6   15   4
       - 4*m1 *m2 *n2  *n3 *r496 - 4*m1 *m2 *n2  *n3 *r496

           4   5   17   3             4   5   15   5
       + m1 *m2 *n1  *n2 *r483 - 14*m1 *m2 *n1  *n2 *r483

              4   5   15   3   2            4   5   13   7
       + 15*m1 *m2 *n1  *n2 *n3 *r483 + 4*m1 *m2 *n1  *n2 *r483

              4   5   13   5   2             4   5   13   3   4
       - 75*m1 *m2 *n1  *n2 *n3 *r483 + 30*m1 *m2 *n1  *n2 *n3 *r483

              4   5   11   9             4   5   11   7   2
       + 54*m1 *m2 *n1  *n2 *r483 - 45*m1 *m2 *n1  *n2 *n3 *r483

              4   5   11   5   4              4   5   9   9   2
       - 90*m1 *m2 *n1  *n2 *n3 *r483 + 165*m1 *m2 *n1 *n2 *n3 *r483

              4   5   9   7   4             4   5   7   13
       - 60*m1 *m2 *n1 *n2 *n3 *r483 - 54*m1 *m2 *n1 *n2  *r483

              4   5   7   11   2              4   5   7   9   4
       + 51*m1 *m2 *n1 *n2  *n3 *r483 + 168*m1 *m2 *n1 *n2 *n3 *r483

             4   5   5   15             4   5   5   13   2
       - 4*m1 *m2 *n1 *n2  *r483 - 99*m1 *m2 *n1 *n2  *n3 *r483

              4   5   5   11   4             4   5   3   17
       + 18*m1 *m2 *n1 *n2  *n3 *r483 + 14*m1 *m2 *n1 *n2  *r483

              4   5   3   15   2             4   5   3   13   4
       - 21*m1 *m2 *n1 *n2  *n3 *r483 - 78*m1 *m2 *n1 *n2  *n3 *r483

           4   5      19            4   5      17   2
       - m1 *m2 *n1*n2  *r483 + 9*m1 *m2 *n1*n2  *n3 *r483

              4   5      15   4             3   7   15   4
       + 12*m1 *m2 *n1*n2  *n3 *r483 + 18*m1 *m2 *n1  *n2 *r496

               3   7   13   6              3   7   13   4   2
       - 122*m1 *m2 *n1  *n2 *r496 + 120*m1 *m2 *n1  *n2 *n3 *r496

              3   7   11   8              3   7   11   6   2
       + 97*m1 *m2 *n1  *n2 *r496 - 540*m1 *m2 *n1  *n2 *n3 *r496

               3   7   11   4   4              3   7   9   10
       + 150*m1 *m2 *n1  *n2 *n3 *r496 + 285*m1 *m2 *n1 *n2  *r496

               3   7   9   8   2              3   7   9   6   4
       + 349*m1 *m2 *n1 *n2 *n3 *r496 - 590*m1 *m2 *n1 *n2 *n3 *r496

               3   7   7   12              3   7   7   10   2
       - 212*m1 *m2 *n1 *n2  *r496 + 948*m1 *m2 *n1 *n2  *n3 *r496

               3   7   7   8   4              3   7   5   14
       + 540*m1 *m2 *n1 *n2 *n3 *r496 - 176*m1 *m2 *n1 *n2  *r496

               3   7   5   12   2              3   7   5   10   4
       - 414*m1 *m2 *n1 *n2  *n3 *r496 + 636*m1 *m2 *n1 *n2  *n3 *r496

              3   7   3   16              3   7   3   14   2
       + 81*m1 *m2 *n1 *n2  *r496 - 296*m1 *m2 *n1 *n2  *n3 *r496

               3   7   3   12   4            3   7      18
       - 578*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1*n2  *r496

              3   7      16   2             3   7      14   4
       + 57*m1 *m2 *n1*n2  *n3 *r496 + 66*m1 *m2 *n1*n2  *n3 *r496

             3   6   16   4             3   6   14   6
       + 4*m1 *m2 *n1  *n2 *r483 - 16*m1 *m2 *n1  *n2 *r483

              3   6   14   4   2             3   6   12   8
       + 30*m1 *m2 *n1  *n2 *n3 *r483 - 24*m1 *m2 *n1  *n2 *r483

              3   6   12   6   2             3   6   12   4   4
       - 50*m1 *m2 *n1  *n2 *n3 *r483 + 40*m1 *m2 *n1  *n2 *n3 *r483

              3   6   10   10              3   6   10   8   2
       + 36*m1 *m2 *n1  *n2  *r483 - 110*m1 *m2 *n1  *n2 *n3 *r483

              3   6   10   6   4             3   6   8   12
       - 50*m1 *m2 *n1  *n2 *n3 *r483 + 36*m1 *m2 *n1 *n2  *r483

              3   6   8   10   2             3   6   8   8   4
       + 74*m1 *m2 *n1 *n2  *n3 *r483 - 94*m1 *m2 *n1 *n2 *n3 *r483

              3   6   6   14              3   6   6   12   2
       - 24*m1 *m2 *n1 *n2  *r483 + 102*m1 *m2 *n1 *n2  *n3 *r483

              3   6   6   10   4             3   6   4   16
       + 84*m1 *m2 *n1 *n2  *n3 *r483 - 16*m1 *m2 *n1 *n2  *r483

              3   6   4   14   2             3   6   4   12   4
       - 26*m1 *m2 *n1 *n2  *n3 *r483 + 52*m1 *m2 *n1 *n2  *n3 *r483

             3   6   2   18             3   6   2   16   2
       + 4*m1 *m2 *n1 *n2  *r483 - 22*m1 *m2 *n1 *n2  *n3 *r483

              3   6   2   14   4            3   6   18   2
       - 34*m1 *m2 *n1 *n2  *n3 *r483 + 2*m1 *m2 *n2  *n3 *r483

             3   6   16   4             2   8   14   5
       + 2*m1 *m2 *n2  *n3 *r483 + 22*m1 *m2 *n1  *n2 *r496

              2   8   12   7              2   8   12   5   2
       - 68*m1 *m2 *n1  *n2 *r496 + 105*m1 *m2 *n1  *n2 *n3 *r496

              2   8   10   9              2   8   10   7   2
       - 14*m1 *m2 *n1  *n2 *r496 - 246*m1 *m2 *n1  *n2 *n3 *r496

               2   8   10   5   4              2   8   8   11
       + 102*m1 *m2 *n1  *n2 *n3 *r496 + 164*m1 *m2 *n1 *n2  *r496

             2   8   8   9   2              2   8   8   7   4
       - 4*m1 *m2 *n1 *n2 *n3 *r496 - 250*m1 *m2 *n1 *n2 *n3 *r496

             2   8   6   13              2   8   6   11   2
       - 2*m1 *m2 *n1 *n2  *r496 + 486*m1 *m2 *n1 *n2  *n3 *r496

               2   8   6   9   4             2   8   4   15
       + 120*m1 *m2 *n1 *n2 *n3 *r496 - 80*m1 *m2 *n1 *n2  *r496

              2   8   4   13   2              2   8   4   11   4
       + 21*m1 *m2 *n1 *n2  *n3 *r496 + 324*m1 *m2 *n1 *n2  *n3 *r496

              2   8   2   17              2   8   2   15   2
       + 10*m1 *m2 *n1 *n2  *r496 - 112*m1 *m2 *n1 *n2  *n3 *r496

               2   8   2   13   4            2   8   17   2
       - 142*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n2  *n3 *r496

             2   8   15   4            2   7   15   5
       + 6*m1 *m2 *n2  *n3 *r496 + 6*m1 *m2 *n1  *n2 *r483

             2   7   13   7             2   7   13   5   2
       - 4*m1 *m2 *n1  *n2 *r483 + 30*m1 *m2 *n1  *n2 *n3 *r483

              2   7   11   9             2   7   11   5   4
       - 26*m1 *m2 *n1  *n2 *r483 + 30*m1 *m2 *n1  *n2 *n3 *r483

              2   7   9   9   2            2   7   9   7   4
       - 78*m1 *m2 *n1 *n2 *n3 *r483 - 6*m1 *m2 *n1 *n2 *n3 *r483

              2   7   7   13             2   7   7   11   2
       + 26*m1 *m2 *n1 *n2  *r483 - 12*m1 *m2 *n1 *n2  *n3 *r483

              2   7   7   9   4            2   7   5   15
       - 60*m1 *m2 *n1 *n2 *n3 *r483 + 4*m1 *m2 *n1 *n2  *r483

              2   7   5   13   2             2   7   5   11   4
       + 54*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2  *n3 *r483

             2   7   3   17             2   7   3   15   2
       - 6*m1 *m2 *n1 *n2  *r483 + 12*m1 *m2 *n1 *n2  *n3 *r483

              2   7   3   13   4            2   7      17   2
       + 30*m1 *m2 *n1 *n2  *n3 *r483 - 6*m1 *m2 *n1*n2  *n3 *r483

             2   7      15   4                9   13   6
       - 6*m1 *m2 *n1*n2  *n3 *r483 + 13*m1*m2 *n1  *n2 *r496

                 9   11   8                9   11   6   2
       - 13*m1*m2 *n1  *n2 *r496 + 48*m1*m2 *n1  *n2 *n3 *r496

                 9   9   10                9   9   8   2
       - 20*m1*m2 *n1 *n2  *r496 - 46*m1*m2 *n1 *n2 *n3 *r496

                 9   9   6   4                9   7   12
       + 38*m1*m2 *n1 *n2 *n3 *r496 + 40*m1*m2 *n1 *n2  *r496

                 9   7   10   2                9   7   8   4
       - 39*m1*m2 *n1 *n2  *n3 *r496 - 54*m1*m2 *n1 *n2 *n3 *r496

                 9   5   14                 9   5   12   2
       + 23*m1*m2 *n1 *n2  *r496 + 118*m1*m2 *n1 *n2  *n3 *r496

                9   5   10   4                9   3   16
       + 4*m1*m2 *n1 *n2  *n3 *r496 - 11*m1*m2 *n1 *n2  *r496

                 9   3   14   2                9   3   12   4
       + 49*m1*m2 *n1 *n2  *n3 *r496 + 82*m1*m2 *n1 *n2  *n3 *r496

                 9      16   2                9      14   4
       - 14*m1*m2 *n1*n2  *n3 *r496 - 14*m1*m2 *n1*n2  *n3 *r496

                8   14   6               8   12   8
       + 4*m1*m2 *n1  *n2 *r483 + 4*m1*m2 *n1  *n2 *r483

                 8   12   6   2               8   10   10
       + 15*m1*m2 *n1  *n2 *n3 *r483 - 8*m1*m2 *n1  *n2  *r483

                 8   10   8   2                8   10   6   4
       + 15*m1*m2 *n1  *n2 *n3 *r483 + 12*m1*m2 *n1  *n2 *n3 *r483

                8   8   12                8   8   10   2
       - 8*m1*m2 *n1 *n2  *r483 - 21*m1*m2 *n1 *n2  *n3 *r483

                8   8   8   4               8   6   14
       + 6*m1*m2 *n1 *n2 *n3 *r483 + 4*m1*m2 *n1 *n2  *r483

                 8   6   12   2                8   6   10   4
       - 21*m1*m2 *n1 *n2  *n3 *r483 - 18*m1*m2 *n1 *n2  *n3 *r483

                8   4   16               8   4   14   2
       + 4*m1*m2 *n1 *n2  *r483 + 6*m1*m2 *n1 *n2  *n3 *r483

                8   4   12   4               8   2   16   2
       - 6*m1*m2 *n1 *n2  *n3 *r483 + 6*m1*m2 *n1 *n2  *n3 *r483

                8   2   14   4            10   12   7          10   10   9
       + 6*m1*m2 *n1 *n2  *n3 *r483 + 3*m2  *n1  *n2 *r496 + m2  *n1  *n2 *r496

             10   10   7   2            10   8   11
       + 9*m2  *n1  *n2 *n3 *r496 - 3*m2  *n1 *n2  *r496

             10   8   7   4            10   6   13
       + 6*m2  *n1 *n2 *n3 *r496 + 3*m2  *n1 *n2  *r496

             10   6   11   2            10   6   9   4
       - 7*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2 *n3 *r496

             10   4   15             10   4   13   2
       + 4*m2  *n1 *n2  *r496 + 10*m2  *n1 *n2  *n3 *r496

             10   4   11   4            10   2   15   2
       - 2*m2  *n1 *n2  *n3 *r496 + 8*m2  *n1 *n2  *n3 *r496

             10   2   13   4          9   13   7            9   11   9
       + 8*m2  *n1 *n2  *n3 *r496 + m2 *n1  *n2 *r483 + 2*m2 *n1  *n2 *r483

             9   11   7   2            9   9   9   2
       + 3*m2 *n1  *n2 *n3 *r483 + 5*m2 *n1 *n2 *n3 *r483

             9   9   7   4            9   7   13          9   7   11   2
       + 2*m2 *n1 *n2 *n3 *r483 - 2*m2 *n1 *n2  *r483 - m2 *n1 *n2  *n3 *r483

             9   7   9   4          9   5   15            9   5   13   2
       + 2*m2 *n1 *n2 *n3 *r483 - m2 *n1 *n2  *r483 - 5*m2 *n1 *n2  *n3 *r483

             9   5   11   4            9   3   15   2
       - 2*m2 *n1 *n2  *n3 *r483 - 2*m2 *n1 *n2  *n3 *r483

             9   3   13   4                9   12   5   2
       - 2*m2 *n1 *n2  *n3 *r483)/(2*a33*m1 *n1  *n2 *n3

              9   12   3   4           9   10   7   2           9   10   5   4
    - 4*a33*m1 *n1  *n2 *n3  + 2*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1  *n2 *n3

              9   8   9   2           9   8   7   4           9   6   11   2
    - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2  *n3

              9   6   9   4           8      13   6            8      13   4   2
    + 4*a33*m1 *n1 *n2 *n3  + 2*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

               8      13   2   4           8      11   8
    + 12*a33*m1 *m2*n1  *n2 *n3  + 4*a33*m1 *m2*n1  *n2

              8      11   6   2            8      11   4   4
    - 6*a33*m1 *m2*n1  *n2 *n3  - 12*a33*m1 *m2*n1  *n2 *n3

               8      9   8   2            8      9   6   4
    + 18*a33*m1 *m2*n1 *n2 *n3  - 36*a33*m1 *m2*n1 *n2 *n3

              8      7   12           8      7   10   2
    - 4*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

               8      7   8   4           8      5   14
    + 12*a33*m1 *m2*n1 *n2 *n3  - 2*a33*m1 *m2*n1 *n2

              8      5   12   2            8      5   10   4
    - 6*a33*m1 *m2*n1 *n2  *n3  + 24*a33*m1 *m2*n1 *n2  *n3

              7   2   14   5            7   2   14   3   2
    - 8*a33*m1 *m2 *n1  *n2  + 24*a33*m1 *m2 *n1  *n2 *n3

               7   2   14      4           7   2   12   7
    - 12*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

               7   2   12   5   2            7   2   12   3   4
    - 24*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1  *n2 *n3

               7   2   10   9            7   2   10   7   2
    + 16*a33*m1 *m2 *n1  *n2  - 72*a33*m1 *m2 *n1  *n2 *n3

               7   2   10   5   4            7   2   8   11
    + 24*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               7   2   8   9   2             7   2   8   7   4
    + 24*a33*m1 *m2 *n1 *n2 *n3  - 120*a33*m1 *m2 *n1 *n2 *n3

              7   2   6   13            7   2   6   11   2
    - 8*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2  *n3

               7   2   6   9   4           7   2   4   15
    - 12*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               7   2   4   11   4            6   3   15   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2

               6   3   15   2   2           6   3   15   4
    - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

              6   3   13   6            6   3   13   4   2
    - 8*a33*m1 *m2 *n1  *n2  + 88*a33*m1 *m2 *n1  *n2 *n3

               6   3   13   2   4            6   3   11   8
    - 68*a33*m1 *m2 *n1  *n2 *n3  - 52*a33*m1 *m2 *n1  *n2

               6   3   11   6   2             6   3   11   4   4
    + 68*a33*m1 *m2 *n1  *n2 *n3  + 104*a33*m1 *m2 *n1  *n2 *n3

                6   3   9   8   2             6   3   9   6   4
    - 168*a33*m1 *m2 *n1 *n2 *n3  + 168*a33*m1 *m2 *n1 *n2 *n3

               6   3   7   12            6   3   7   10   2
    + 52*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2  *n3

                6   3   7   8   4           6   3   5   14
    - 188*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

               6   3   5   12   2             6   3   5   10   4
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 100*a33*m1 *m2 *n1 *n2  *n3

               6   3   3   16            6   3   3   14   2
    - 12*a33*m1 *m2 *n1 *n2   + 20*a33*m1 *m2 *n1 *n2  *n3

               6   3   3   12   4           5   4   16   3
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1  *n2

              5   4   16      2            5   4   14   5
    + 6*a33*m1 *m2 *n1  *n2*n3  + 32*a33*m1 *m2 *n1  *n2

               5   4   14   3   2            5   4   14      4
    - 90*a33*m1 *m2 *n1  *n2 *n3  + 24*a33*m1 *m2 *n1  *n2*n3

               5   4   12   7            5   4   12   5   2
    + 48*a33*m1 *m2 *n1  *n2  + 78*a33*m1 *m2 *n1  *n2 *n3

                5   4   12   3   4            5   4   10   9
    - 156*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2

                5   4   10   7   2            5   4   10   5   4
    + 270*a33*m1 *m2 *n1  *n2 *n3  + 36*a33*m1 *m2 *n1  *n2 *n3

               5   4   8   11             5   4   8   9   2
    - 72*a33*m1 *m2 *n1 *n2   - 114*a33*m1 *m2 *n1 *n2 *n3

                5   4   8   7   4            5   4   6   13
    + 336*a33*m1 *m2 *n1 *n2 *n3  + 48*a33*m1 *m2 *n1 *n2

                5   4   6   11   2             5   4   6   9   4
    - 210*a33*m1 *m2 *n1 *n2  *n3  - 120*a33*m1 *m2 *n1 *n2 *n3

               5   4   4   15            5   4   4   13   2
    + 32*a33*m1 *m2 *n1 *n2   + 30*a33*m1 *m2 *n1 *n2  *n3

                5   4   4   11   4           5   4   2   17
    - 180*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2

               5   4   2   15   2            5   4   2   13   4
    + 30*a33*m1 *m2 *n1 *n2  *n3  + 60*a33*m1 *m2 *n1 *n2  *n3

              4   5   17   2            4   5   15   4
    + 2*a33*m1 *m2 *n1  *n2  - 28*a33*m1 *m2 *n1  *n2

               4   5   15   2   2           4   5   13   6
    + 30*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                4   5   13   4   2            4   5   13   2   4
    - 150*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1  *n2 *n3

                4   5   11   8            4   5   11   6   2
    + 108*a33*m1 *m2 *n1  *n2  - 90*a33*m1 *m2 *n1  *n2 *n3

                4   5   11   4   4             4   5   9   8   2
    - 180*a33*m1 *m2 *n1  *n2 *n3  + 330*a33*m1 *m2 *n1 *n2 *n3

                4   5   9   6   4             4   5   7   12
    - 120*a33*m1 *m2 *n1 *n2 *n3  - 108*a33*m1 *m2 *n1 *n2

                4   5   7   10   2             4   5   7   8   4
    + 102*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

              4   5   5   14             4   5   5   12   2
    - 8*a33*m1 *m2 *n1 *n2   - 198*a33*m1 *m2 *n1 *n2  *n3

               4   5   5   10   4            4   5   3   16
    + 36*a33*m1 *m2 *n1 *n2  *n3  + 28*a33*m1 *m2 *n1 *n2

               4   5   3   14   2             4   5   3   12   4
    - 42*a33*m1 *m2 *n1 *n2  *n3  - 156*a33*m1 *m2 *n1 *n2  *n3

              4   5      18            4   5      16   2
    - 2*a33*m1 *m2 *n1*n2   + 18*a33*m1 *m2 *n1*n2  *n3

               4   5      14   4           3   6   16   3
    + 24*a33*m1 *m2 *n1*n2  *n3  + 8*a33*m1 *m2 *n1  *n2

               3   6   14   5            3   6   14   3   2
    - 32*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               3   6   12   7             3   6   12   5   2
    - 48*a33*m1 *m2 *n1  *n2  - 100*a33*m1 *m2 *n1  *n2 *n3

               3   6   12   3   4            3   6   10   9
    + 80*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2

                3   6   10   7   2             3   6   10   5   4
    - 220*a33*m1 *m2 *n1  *n2 *n3  - 100*a33*m1 *m2 *n1  *n2 *n3

               3   6   8   11             3   6   8   9   2
    + 72*a33*m1 *m2 *n1 *n2   + 148*a33*m1 *m2 *n1 *n2 *n3

                3   6   8   7   4            3   6   6   13
    - 188*a33*m1 *m2 *n1 *n2 *n3  - 48*a33*m1 *m2 *n1 *n2

                3   6   6   11   2             3   6   6   9   4
    + 204*a33*m1 *m2 *n1 *n2  *n3  + 168*a33*m1 *m2 *n1 *n2 *n3

               3   6   4   15            3   6   4   13   2
    - 32*a33*m1 *m2 *n1 *n2   - 52*a33*m1 *m2 *n1 *n2  *n3

                3   6   4   11   4           3   6   2   17
    + 104*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2

               3   6   2   15   2            3   6   2   13   4
    - 44*a33*m1 *m2 *n1 *n2  *n3  - 68*a33*m1 *m2 *n1 *n2  *n3

              3   6   17   2           3   6   15   4            2   7   15   4
    + 4*a33*m1 *m2 *n2  *n3  + 4*a33*m1 *m2 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2

              2   7   13   6            2   7   13   4   2
    - 8*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               2   7   11   8            2   7   11   4   4
    - 52*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

                2   7   9   8   2            2   7   9   6   4
    - 156*a33*m1 *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1 *n2 *n3

               2   7   7   12            2   7   7   10   2
    + 52*a33*m1 *m2 *n1 *n2   - 24*a33*m1 *m2 *n1 *n2  *n3

                2   7   7   8   4           2   7   5   14
    - 120*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

                2   7   5   12   2            2   7   5   10   4
    + 108*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   16            2   7   3   14   2
    - 12*a33*m1 *m2 *n1 *n2   + 24*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   12   4            2   7      16   2
    + 60*a33*m1 *m2 *n1 *n2  *n3  - 12*a33*m1 *m2 *n1*n2  *n3

               2   7      14   4              8   14   5              8   12   7
    - 12*a33*m1 *m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1  *n2  + 8*a33*m1*m2 *n1  *n2

                  8   12   5   2               8   10   9
    + 30*a33*m1*m2 *n1  *n2 *n3  - 16*a33*m1*m2 *n1  *n2

                  8   10   7   2               8   10   5   4
    + 30*a33*m1*m2 *n1  *n2 *n3  + 24*a33*m1*m2 *n1  *n2 *n3

                  8   8   11               8   8   9   2
    - 16*a33*m1*m2 *n1 *n2   - 42*a33*m1*m2 *n1 *n2 *n3

                  8   8   7   4              8   6   13
    + 12*a33*m1*m2 *n1 *n2 *n3  + 8*a33*m1*m2 *n1 *n2

                  8   6   11   2               8   6   9   4
    - 42*a33*m1*m2 *n1 *n2  *n3  - 36*a33*m1*m2 *n1 *n2 *n3

                 8   4   15               8   4   13   2
    + 8*a33*m1*m2 *n1 *n2   + 12*a33*m1*m2 *n1 *n2  *n3

                  8   4   11   4               8   2   15   2
    - 12*a33*m1*m2 *n1 *n2  *n3  + 12*a33*m1*m2 *n1 *n2  *n3

                  8   2   13   4           9   13   6           9   11   8
    + 12*a33*m1*m2 *n1 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1  *n2

              9   11   6   2            9   9   8   2           9   9   6   4
    + 6*a33*m2 *n1  *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              9   7   12           9   7   10   2           9   7   8   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2  *n3  + 4*a33*m2 *n1 *n2 *n3

              9   5   14            9   5   12   2           9   5   10   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2  *n3

              9   3   14   2           9   3   12   4
    - 4*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2  *n3 )


                                            2             2
      2*m1*n2*n3*r496 - 2*m2*n1*n3*r496 - n1 *n3*r483 - n2 *n3*r483
r312=---------------------------------------------------------------
                                  2           2
                          2*a33*n1  + 2*a33*n2


           2   11   9   5   2             2   11   9   3   4
r313=(4*a33 *m1  *n1 *n2 *n3 *r214 - 8*a33 *m1  *n1 *n2 *n3 *r214

              2   11   7   7   2             2   11   7   5   4
       + 4*a33 *m1  *n1 *n2 *n3 *r214 - 8*a33 *m1  *n1 *n2 *n3 *r214

              2   10      10   6              2   10      10   4   2
       + 4*a33 *m1  *m2*n1  *n2 *r214 - 24*a33 *m1  *m2*n1  *n2 *n3 *r214

               2   10      10   2   4             2   10      8   8
       + 24*a33 *m1  *m2*n1  *n2 *n3 *r214 + 8*a33 *m1  *m2*n1 *n2 *r214

               2   10      8   6   2              2   10      8   4   4
       - 12*a33 *m1  *m2*n1 *n2 *n3 *r214 - 24*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      6   10              2   10      6   8   2
       + 4*a33 *m1  *m2*n1 *n2  *r214 + 12*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      6   6   4             2   10   11   4   2
       - 48*a33 *m1  *m2*n1 *n2 *n3 *r214 + 2*a33 *m1  *n1  *n2 *n3 *r216

              2   10   11   2   4             2   10   9   6   2
       - 4*a33 *m1  *n1  *n2 *n3 *r216 + 4*a33 *m1  *n1 *n2 *n3 *r216

              2   10   9   4   4             2   10   7   8   2
       - 8*a33 *m1  *n1 *n2 *n3 *r216 + 2*a33 *m1  *n1 *n2 *n3 *r216

              2   10   7   6   4              2   9   2   11   5
       - 4*a33 *m1  *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   9   2   11   3   2              2   9   2   11      4
       + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   9   2   9   7              2   9   2   9   5   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 44*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   9   2   9   3   4              2   9   2   7   9
       + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *r214

               2   9   2   7   7   2              2   9   2   7   5   4
       - 92*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   5   11               2   9   2   5   7   4
       + 16*a33 *m1 *m2 *n1 *n2  *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9      12   5              2   9      12   3   2
       + 2*a33 *m1 *m2*n1  *n2 *r216 - 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      12      4             2   9      10   7
       + 8*a33 *m1 *m2*n1  *n2*n3 *r216 + 6*a33 *m1 *m2*n1  *n2 *r216

               2   9      10   5   2             2   9      10   3   4
       - 14*a33 *m1 *m2*n1  *n2 *n3 *r216 - 8*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      8   9             2   9      8   7   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   9      8   5   4             2   9      6   11
       - 40*a33 *m1 *m2*n1 *n2 *n3 *r216 + 2*a33 *m1 *m2*n1 *n2  *r216

              2   9      6   9   2              2   9      6   7   4
       + 6*a33 *m1 *m2*n1 *n2 *n3 *r216 - 24*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   8   3   12   4              2   8   3   12   2   2
       + 24*a33 *m1 *m2 *n1  *n2 *r214 - 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   12   4              2   8   3   10   6
       + 8*a33 *m1 *m2 *n1  *n3 *r214 - 12*a33 *m1 *m2 *n1  *n2 *r214

                2   8   3   10   4   2               2   8   3   10   2   4
       + 152*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 112*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   8   8              2   8   3   8   6   2
       - 72*a33 *m1 *m2 *n1 *n2 *r214 + 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   3   8   4   4              2   8   3   6   10
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

                2   8   3   6   8   2               2   8   3   6   6   4
       - 148*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   4   12              2   8   3   4   10   2
       + 24*a33 *m1 *m2 *n1 *n2  *r214 - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   3   4   8   4             2   8   2   13   4
       - 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 6*a33 *m1 *m2 *n1  *n2 *r216

               2   8   2   13   2   2             2   8   2   13   4
       + 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n3 *r216

               2   8   2   11   6              2   8   2   11   4   2
       - 10*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   11   2   4             2   8   2   9   8
       + 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2 *r216

               2   8   2   9   6   2              2   8   2   9   4   4
       - 66*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   7   10              2   8   2   7   8   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   7   6   4             2   8   2   5   12
       - 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *r216

               2   8   2   5   8   4              2   7   4   13   3
       - 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   13      2              2   7   4   11   5
       + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 48*a33 *m1 *m2 *n1  *n2 *r214

                2   7   4   11   3   2              2   7   4   11      4
       - 132*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   4   9   7               2   7   4   9   5   2
       + 64*a33 *m1 *m2 *n1 *n2 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   9   3   4              2   7   4   7   9
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *r214

                2   7   4   7   7   2               2   7   4   7   5   4
       + 264*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   5   11              2   7   4   5   9   2
       - 48*a33 *m1 *m2 *n1 *n2  *r214 - 60*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   5   7   4              2   7   4   3   13
       + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   3   11   2               2   7   4   3   9   4
       - 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   3   14   3             2   7   3   14      2
       + 6*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   7   3   12   5              2   7   3   12   3   2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   12      4              2   7   3   10   7
       - 16*a33 *m1 *m2 *n1  *n2*n3 *r216 - 36*a33 *m1 *m2 *n1  *n2 *r216

               2   7   3   10   5   2              2   7   3   10   3   4
       + 52*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   8   9              2   7   3   8   7   2
       - 24*a33 *m1 *m2 *n1 *n2 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   8   5   4              2   7   3   6   11
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 14*a33 *m1 *m2 *n1 *n2  *r216

               2   7   3   6   9   2              2   7   3   6   7   4
       - 94*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   4   13              2   7   3   4   11   2
       + 12*a33 *m1 *m2 *n1 *n2  *r216 - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   4   9   4             2   6   5   14   2
       - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   6   5   12   4              2   6   5   12   2   2
       - 32*a33 *m1 *m2 *n1  *n2 *r214 + 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   12   4             2   6   5   10   6
       + 8*a33 *m1 *m2 *n1  *n3 *r214 + 4*a33 *m1 *m2 *n1  *n2 *r214

                2   6   5   10   4   2              2   6   5   10   2   4
       - 124*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   5   8   8              2   6   5   8   6   2
       + 80*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   5   8   4   4             2   6   5   6   10
       - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *r214

                2   6   5   6   8   2              2   6   5   6   6   4
       + 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   4   12              2   6   5   4   10   2
       - 32*a33 *m1 *m2 *n1 *n2  *r214 + 44*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   4   8   4             2   6   5   2   14
       + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *r214

               2   6   5   2   12   2              2   6   5   2   10   4
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 48*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   6   4   15   2              2   6   4   13   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 12*a33 *m1 *m2 *n1  *n2 *r216

               2   6   4   13   2   2             2   6   4   13   4
       - 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n3 *r216

               2   6   4   11   6              2   6   4   11   4   2
       + 20*a33 *m1 *m2 *n1  *n2 *r216 + 46*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   11   2   4              2   6   4   9   8
       - 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *r216

                2   6   4   9   6   2              2   6   4   9   4   4
       + 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   7   10             2   6   4   7   8   2
       - 42*a33 *m1 *m2 *n1 *n2  *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   4   7   6   4             2   6   4   5   12
       + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

               2   6   4   5   10   2              2   6   4   5   8   4
       - 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   3   14              2   6   4   3   12   2
       + 8*a33 *m1 *m2 *n1 *n2  *r216 - 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   3   10   4              2   5   6   13      2
       - 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   11   3   2              2   5   6   11      4
       - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 48*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   9   5   2               2   5   6   9   3   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   7   7   2              2   5   6   7   5   4
       + 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   5   9   2               2   5   6   5   7   4
       + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   3   11   2              2   5   6   3   9   4
       + 28*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6      13   2             2   5   6      11   4
       - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   5   5   14   3             2   5   5   14      2
       - 2*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   5   5   12   5             2   5   5   12   3   2
       + 6*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   12      4              2   5   5   10   7
       - 24*a33 *m1 *m2 *n1  *n2*n3 *r216 + 18*a33 *m1 *m2 *n1  *n2 *r216

               2   5   5   10   5   2             2   5   5   10   3   4
       + 46*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   8   7   2              2   5   5   8   5   4
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   6   11              2   5   5   6   9   2
       - 18*a33 *m1 *m2 *n1 *n2  *r216 + 42*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   6   7   4             2   5   5   4   13
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   4   11   2             2   5   5   4   9   4
       - 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5   2   15              2   5   5   2   13   2
       + 2*a33 *m1 *m2 *n1 *n2  *r216 - 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   2   11   4             2   4   7   14   2
       - 24*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   4   7   12   4              2   4   7   12   2   2
       - 32*a33 *m1 *m2 *n1  *n2 *r214 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   4   7   10   6               2   4   7   10   4   2
       + 4*a33 *m1 *m2 *n1  *n2 *r214 - 180*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   10   2   4              2   4   7   8   8
       + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *r214

                2   4   7   8   6   2               2   4   7   8   4   4
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   6   10               2   4   7   6   8   2
       + 4*a33 *m1 *m2 *n1 *n2  *r214 + 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   6   6   4              2   4   7   4   12
       - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2  *r214

               2   4   7   4   10   2               2   4   7   4   8   4
       + 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   2   14              2   4   7   2   12   2
       + 4*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   2   10   4             2   4   6   15   2
       - 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 2*a33 *m1 *m2 *n1  *n2 *r216

              2   4   6   13   4              2   4   6   13   2   2
       + 6*a33 *m1 *m2 *n1  *n2 *r216 - 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   11   6              2   4   6   11   2   4
       + 18*a33 *m1 *m2 *n1  *n2 *r216 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   9   6   2              2   4   6   9   4   4
       + 100*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   7   10              2   4   6   7   8   2
       - 18*a33 *m1 *m2 *n1 *n2  *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   4   6   7   6   4             2   4   6   5   12
       + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

              2   4   6   5   10   2              2   4   6   5   8   4
       + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   3   14             2   4   6   3   12   2
       + 2*a33 *m1 *m2 *n1 *n2  *r216 - 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   3   10   4             2   4   6      14   2
       - 20*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   4   6      12   4              2   3   8   13   3
       - 4*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

               2   3   8   11   5               2   3   8   11   3   2
       - 48*a33 *m1 *m2 *n1  *n2 *r214 + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   9   7               2   3   8   9   5   2
       - 64*a33 *m1 *m2 *n1 *n2 *r214 - 140*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   9   3   4              2   3   8   7   9
       + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *r214

                2   3   8   7   7   2               2   3   8   7   5   4
       - 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   5   11              2   3   8   5   9   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   5   7   4              2   3   8   3   13
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   3   8   3   11   2               2   3   8   3   9   4
       + 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   8      13   2             2   3   8      11   4
       - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   7   14   3             2   3   7   12   5
       - 8*a33 *m1 *m2 *n1  *n2 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r216

               2   3   7   12   3   2              2   3   7   10   7
       - 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 42*a33 *m1 *m2 *n1  *n2 *r216

               2   3   7   10   5   2              2   3   7   10   3   4
       - 50*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 80*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   8   9               2   3   7   8   7   2
       + 24*a33 *m1 *m2 *n1 *n2 *r216 + 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   8   5   4              2   3   7   6   11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2  *r216

                2   3   7   6   9   2              2   3   7   6   7   4
       + 108*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   4   13             2   3   7   4   11   2
       - 12*a33 *m1 *m2 *n1 *n2  *r216 + 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   4   9   4             2   3   7   2   15
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   3   7   2   13   2              2   3   7   2   11   4
       - 10*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   9   12   4              2   2   9   10   6
       + 24*a33 *m1 *m2 *n1  *n2 *r214 - 12*a33 *m1 *m2 *n1  *n2 *r214

                2   2   9   10   4   2              2   2   9   8   8
       + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 72*a33 *m1 *m2 *n1 *n2 *r214

               2   2   9   8   6   2               2   2   9   8   4   4
       + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   6   10               2   2   9   6   8   2
       - 12*a33 *m1 *m2 *n1 *n2  *r214 - 172*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   6   6   4              2   2   9   4   12
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *r214

               2   2   9   4   10   2               2   2   9   4   8   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   2   12   2              2   2   9   2   10   4
       + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   8   13   4              2   2   8   11   6
       - 12*a33 *m1 *m2 *n1  *n2 *r216 - 14*a33 *m1 *m2 *n1  *n2 *r216

               2   2   8   11   4   2              2   2   8   9   8
       - 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r216

               2   2   8   9   6   2              2   2   8   9   4   4
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 60*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   7   10              2   2   8   7   8   2
       + 36*a33 *m1 *m2 *n1 *n2  *r216 + 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   7   6   4             2   2   8   5   12
       - 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

               2   2   8   5   10   2              2   2   8   5   8   4
       + 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   3   14              2   2   8   3   12   2
       - 6*a33 *m1 *m2 *n1 *n2  *r216 + 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   3   10   4             2   2   8      14   2
       + 36*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   8      12   4              2      10   11   5
       - 4*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1*m2  *n1  *n2 *r214

               2      10   9   7              2      10   9   5   2
       + 16*a33 *m1*m2  *n1 *n2 *r214 + 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   7   9              2      10   7   7   2
       - 16*a33 *m1*m2  *n1 *n2 *r214 + 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   7   5   4              2      10   5   11
       + 48*a33 *m1*m2  *n1 *n2 *n3 *r214 - 16*a33 *m1*m2  *n1 *n2  *r214

               2      10   5   9   2              2      10   5   7   4
       - 24*a33 *m1*m2  *n1 *n2 *n3 *r214 + 24*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   3   11   2              2      10   3   9   4
       - 24*a33 *m1*m2  *n1 *n2  *n3 *r214 - 24*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      9   12   5              2      9   10   7
       - 8*a33 *m1*m2 *n1  *n2 *r216 - 18*a33 *m1*m2 *n1  *n2 *r216

               2      9   10   5   2             2      9   8   9
       - 30*a33 *m1*m2 *n1  *n2 *n3 *r216 - 6*a33 *m1*m2 *n1 *n2 *r216

               2      9   8   7   2              2      9   8   5   4
       - 66*a33 *m1*m2 *n1 *n2 *n3 *r216 - 24*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   6   11              2      9   6   9   2
       + 10*a33 *m1*m2 *n1 *n2  *r216 - 34*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   6   7   4             2      9   4   13
       - 40*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2  *r216

               2      9   4   11   2             2      9   4   9   4
       + 10*a33 *m1*m2 *n1 *n2  *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9   2   13   2             2      9   2   11   4
       + 8*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1 *n2  *n3 *r216

              2   11   10   6             2   11   8   8
       + 4*a33 *m2  *n1  *n2 *r214 + 8*a33 *m2  *n1 *n2 *r214

               2   11   8   6   2             2   11   6   10
       + 12*a33 *m2  *n1 *n2 *n3 *r214 + 4*a33 *m2  *n1 *n2  *r214

               2   11   6   8   2             2   11   6   6   4
       + 20*a33 *m2  *n1 *n2 *n3 *r214 + 8*a33 *m2  *n1 *n2 *n3 *r214

              2   11   4   10   2             2   11   4   8   4
       + 8*a33 *m2  *n1 *n2  *n3 *r214 + 8*a33 *m2  *n1 *n2 *n3 *r214

              2   10   11   6             2   10   9   8
       - 2*a33 *m2  *n1  *n2 *r216 - 6*a33 *m2  *n1 *n2 *r216

              2   10   9   6   2             2   10   7   10
       - 6*a33 *m2  *n1 *n2 *n3 *r216 - 6*a33 *m2  *n1 *n2  *r216

               2   10   7   8   2             2   10   7   6   4
       - 16*a33 *m2  *n1 *n2 *n3 *r216 - 4*a33 *m2  *n1 *n2 *n3 *r216

              2   10   5   12              2   10   5   10   2
       - 2*a33 *m2  *n1 *n2  *r216 - 14*a33 *m2  *n1 *n2  *n3 *r216

              2   10   5   8   4             2   10   3   12   2
       - 8*a33 *m2  *n1 *n2 *n3 *r216 - 4*a33 *m2  *n1 *n2  *n3 *r216

              2   10   3   10   4            10   13   4   2
       - 4*a33 *m2  *n1 *n2  *n3 *r216 + 4*m1  *n1  *n2 *n3 *r496

             10   13   2   4            10   11   6   2
       - 8*m1  *n1  *n2 *n3 *r496 - 3*m1  *n1  *n2 *n3 *r496

             10   11   4   4            10   9   8   2
       + 6*m1  *n1  *n2 *n3 *r496 - 2*m1  *n1 *n2 *n3 *r496

             10   9   6   4            10   7   10   2
       + 4*m1  *n1 *n2 *n3 *r496 + 5*m1  *n1 *n2  *n3 *r496

              10   7   8   4            9      14   5
       - 10*m1  *n1 *n2 *n3 *r496 + 4*m1 *m2*n1  *n2 *r496

              9      14   3   2             9      14      4
       - 19*m1 *m2*n1  *n2 *n3 *r496 + 14*m1 *m2*n1  *n2*n3 *r496

           9      12   7             9      12   5   2
       + m1 *m2*n1  *n2 *r496 + 42*m1 *m2*n1  *n2 *n3 *r496

              9      12   3   4            9      10   9
       - 90*m1 *m2*n1  *n2 *n3 *r496 - 5*m1 *m2*n1  *n2 *r496

              9      10   5   4            9      8   11
       + 30*m1 *m2*n1  *n2 *n3 *r496 + 3*m1 *m2*n1 *n2  *r496

              9      8   9   2             9      8   7   4
       - 42*m1 *m2*n1 *n2 *n3 *r496 + 66*m1 *m2*n1 *n2 *n3 *r496

             9      6   13             9      6   11   2
       + 5*m1 *m2*n1 *n2  *r496 + 19*m1 *m2*n1 *n2  *n3 *r496

              9      6   9   4             8   2   15   4
       - 68*m1 *m2*n1 *n2 *n3 *r496 - 11*m1 *m2 *n1  *n2 *r496

              8   2   15   2   2            8   2   15   4
       + 24*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1  *n3 *r496

              8   2   13   6              8   2   13   4   2
       + 29*m1 *m2 *n1  *n2 *r496 - 174*m1 *m2 *n1  *n2 *n3 *r496

               8   2   13   2   4             8   2   11   8
       + 144*m1 *m2 *n1  *n2 *n3 *r496 + 33*m1 *m2 *n1  *n2 *r496

               8   2   11   6   2              8   2   11   4   4
       + 111*m1 *m2 *n1  *n2 *n3 *r496 - 396*m1 *m2 *n1  *n2 *n3 *r496

              8   2   9   10              8   2   9   8   2
       - 41*m1 *m2 *n1 *n2  *r496 + 132*m1 *m2 *n1 *n2 *n3 *r496

             8   2   9   6   4             8   2   7   12
       - 6*m1 *m2 *n1 *n2 *n3 *r496 - 10*m1 *m2 *n1 *n2  *r496

               8   2   7   10   2              8   2   7   8   4
       - 165*m1 *m2 *n1 *n2  *n3 *r496 + 342*m1 *m2 *n1 *n2 *n3 *r496

              8   2   5   14             8   2   5   12   2
       + 24*m1 *m2 *n1 *n2  *r496 + 12*m1 *m2 *n1 *n2  *n3 *r496

               8   2   5   10   4             7   3   16   3
       - 198*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1  *n2 *r496

             7   3   16      2             7   3   14   5
       - 9*m1 *m2 *n1  *n2*n3 *r496 - 85*m1 *m2 *n1  *n2 *r496

               7   3   14   3   2             7   3   14      4
       + 217*m1 *m2 *n1  *n2 *n3 *r496 - 62*m1 *m2 *n1  *n2*n3 *r496

              7   3   12   7              7   3   12   5   2
       + 34*m1 *m2 *n1  *n2 *r496 - 580*m1 *m2 *n1  *n2 *n3 *r496

               7   3   12   3   4              7   3   10   9
       + 608*m1 *m2 *n1  *n2 *n3 *r496 + 182*m1 *m2 *n1  *n2 *r496

              7   3   10   7   2              7   3   10   5   4
       - 62*m1 *m2 *n1  *n2 *n3 *r496 - 908*m1 *m2 *n1  *n2 *n3 *r496

              7   3   8   11              7   3   8   9   2
       - 82*m1 *m2 *n1 *n2  *r496 + 559*m1 *m2 *n1 *n2 *n3 *r496

               7   3   8   7   4             7   3   6   13
       - 368*m1 *m2 *n1 *n2 *n3 *r496 - 89*m1 *m2 *n1 *n2  *r496

               7   3   6   11   2              7   3   6   9   4
       - 235*m1 *m2 *n1 *n2  *n3 *r496 + 890*m1 *m2 *n1 *n2 *n3 *r496

              7   3   4   15             7   3   4   13   2
       + 46*m1 *m2 *n1 *n2  *r496 - 50*m1 *m2 *n1 *n2  *n3 *r496

               7   3   4   11   4            6   4   17   2
       - 320*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1  *n2 *r496

              6   4   15   4             6   4   15   2   2
       + 80*m1 *m2 *n1  *n2 *r496 - 85*m1 *m2 *n1  *n2 *n3 *r496

             6   4   15   4              6   4   13   6
       + 2*m1 *m2 *n1  *n3 *r496 - 218*m1 *m2 *n1  *n2 *r496

               6   4   13   4   2              6   4   13   2   4
       + 762*m1 *m2 *n1  *n2 *n3 *r496 - 258*m1 *m2 *n1  *n2 *n3 *r496

               6   4   11   8              6   4   11   6   2
       - 148*m1 *m2 *n1  *n2 *r496 - 879*m1 *m2 *n1  *n2 *n3 *r496

                6   4   11   4   4              6   4   9   10
       + 1410*m1 *m2 *n1  *n2 *n3 *r496 + 409*m1 *m2 *n1 *n2  *r496

               6   4   9   8   2               6   4   9   6   4
       - 824*m1 *m2 *n1 *n2 *n3 *r496 - 1148*m1 *m2 *n1 *n2 *n3 *r496

              6   4   7   12              6   4   7   10   2
       + 16*m1 *m2 *n1 *n2  *r496 + 987*m1 *m2 *n1 *n2  *n3 *r496

                6   4   7   8   4              6   4   5   14
       - 1158*m1 *m2 *n1 *n2 *n3 *r496 - 196*m1 *m2 *n1 *n2  *r496

              6   4   5   12   2               6   4   5   10   4
       - 30*m1 *m2 *n1 *n2  *n3 *r496 + 1350*m1 *m2 *n1 *n2  *n3 *r496

              6   4   3   16              6   4   3   14   2
       + 44*m1 *m2 *n1 *n2  *r496 - 115*m1 *m2 *n1 *n2  *n3 *r496

               6   4   3   12   4             5   5   16   3
       - 310*m1 *m2 *n1 *n2  *n3 *r496 - 26*m1 *m2 *n1  *n2 *r496

             5   5   16      2              5   5   14   5
       + 3*m1 *m2 *n1  *n2*n3 *r496 + 231*m1 *m2 *n1  *n2 *r496

               5   5   14   3   2             5   5   14      4
       - 306*m1 *m2 *n1  *n2 *n3 *r496 + 12*m1 *m2 *n1  *n2*n3 *r496

               5   5   12   7               5   5   12   5   2
       - 205*m1 *m2 *n1  *n2 *r496 + 1386*m1 *m2 *n1  *n2 *n3 *r496

               5   5   12   3   4              5   5   10   9
       - 582*m1 *m2 *n1  *n2 *n3 *r496 - 507*m1 *m2 *n1  *n2 *r496

               5   5   10   7   2               5   5   10   5   4
       - 429*m1 *m2 *n1  *n2 *n3 *r496 + 1992*m1 *m2 *n1  *n2 *n3 *r496

               5   5   8   11               5   5   8   9   2
       + 414*m1 *m2 *n1 *n2  *r496 - 1725*m1 *m2 *n1 *n2 *n3 *r496

               5   5   8   7   4              5   5   6   13
       - 672*m1 *m2 *n1 *n2 *n3 *r496 + 239*m1 *m2 *n1 *n2  *r496

               5   5   6   11   2               5   5   6   9   4
       + 792*m1 *m2 *n1 *n2  *n3 *r496 - 1824*m1 *m2 *n1 *n2 *n3 *r496

               5   5   4   15              5   5   4   13   2
       - 199*m1 *m2 *n1 *n2  *r496 + 288*m1 *m2 *n1 *n2  *n3 *r496

                5   5   4   11   4             5   5   2   17
       + 1254*m1 *m2 *n1 *n2  *n3 *r496 + 21*m1 *m2 *n1 *n2  *r496

               5   5   2   15   2              5   5   2   13   4
       - 105*m1 *m2 *n1 *n2  *n3 *r496 - 180*m1 *m2 *n1 *n2  *n3 *r496

           4   6   17   2             4   6   15   4
       + m1 *m2 *n1  *n2 *r496 - 79*m1 *m2 *n1  *n2 *r496

              4   6   15   2   2              4   6   13   6
       + 15*m1 *m2 *n1  *n2 *n3 *r496 + 319*m1 *m2 *n1  *n2 *r496

               4   6   13   4   2             4   6   13   2   4
       - 570*m1 *m2 *n1  *n2 *n3 *r496 + 30*m1 *m2 *n1  *n2 *n3 *r496

              4   6   11   8               4   6   11   6   2
       + 54*m1 *m2 *n1  *n2 *r496 + 1415*m1 *m2 *n1  *n2 *n3 *r496

               4   6   11   4   4              4   6   9   10
       - 790*m1 *m2 *n1  *n2 *n3 *r496 - 651*m1 *m2 *n1 *n2  *r496

               4   6   9   8   2               4   6   9   6   4
       + 526*m1 *m2 *n1 *n2 *n3 *r496 + 1774*m1 *m2 *n1 *n2 *n3 *r496

               4   6   7   12               4   6   7   10   2
       + 107*m1 *m2 *n1 *n2  *r496 - 1753*m1 *m2 *n1 *n2  *n3 *r496

               4   6   7   8   4              4   6   5   14
       + 140*m1 *m2 *n1 *n2 *n3 *r496 + 311*m1 *m2 *n1 *n2  *r496

               4   6   5   12   2               4   6   5   10   4
       + 110*m1 *m2 *n1 *n2  *n3 *r496 - 1690*m1 *m2 *n1 *n2  *n3 *r496

              4   6   3   16              4   6   3   14   2
       - 98*m1 *m2 *n1 *n2  *r496 + 343*m1 *m2 *n1 *n2  *n3 *r496

               4   6   3   12   4            4   6      18
       + 706*m1 *m2 *n1 *n2  *n3 *r496 + 4*m1 *m2 *n1*n2  *r496

              4   6      16   2             4   6      14   4
       - 46*m1 *m2 *n1*n2  *n3 *r496 - 58*m1 *m2 *n1*n2  *n3 *r496

             3   7   16   3              3   7   14   5
       + 4*m1 *m2 *n1  *n2 *r496 - 116*m1 *m2 *n1  *n2 *r496

              3   7   14   3   2              3   7   12   7
       + 30*m1 *m2 *n1  *n2 *n3 *r496 + 216*m1 *m2 *n1  *n2 *r496

               3   7   12   5   2             3   7   12   3   4
       - 605*m1 *m2 *n1  *n2 *n3 *r496 + 40*m1 *m2 *n1  *n2 *n3 *r496

               3   7   10   9              3   7   10   7   2
       + 265*m1 *m2 *n1  *n2 *r496 + 789*m1 *m2 *n1  *n2 *n3 *r496

               3   7   10   5   4              3   7   8   11
       - 666*m1 *m2 *n1  *n2 *n3 *r496 - 396*m1 *m2 *n1 *n2  *r496

               3   7   8   9   2              3   7   8   7   4
       + 966*m1 *m2 *n1 *n2 *n3 *r496 + 984*m1 *m2 *n1 *n2 *n3 *r496

               3   7   6   13              3   7   6   11   2
       - 138*m1 *m2 *n1 *n2  *r496 - 904*m1 *m2 *n1 *n2  *n3 *r496

               3   7   6   9   4              3   7   4   15
       + 524*m1 *m2 *n1 *n2 *n3 *r496 + 168*m1 *m2 *n1 *n2  *r496

               3   7   4   13   2              3   7   4   11   4
       - 273*m1 *m2 *n1 *n2  *n3 *r496 - 936*m1 *m2 *n1 *n2  *n3 *r496

              3   7   2   17              3   7   2   15   2
       - 19*m1 *m2 *n1 *n2  *r496 + 165*m1 *m2 *n1 *n2  *n3 *r496

               3   7   2   13   4            3   7   17   2
       + 222*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n2  *n3 *r496

             3   7   15   4            2   8   15   4
       - 8*m1 *m2 *n2  *n3 *r496 + 6*m1 *m2 *n1  *n2 *r496

              2   8   13   6             2   8   13   4   2
       - 89*m1 *m2 *n1  *n2 *r496 + 30*m1 *m2 *n1  *n2 *n3 *r496

              2   8   11   8              2   8   11   6   2
       + 54*m1 *m2 *n1  *n2 *r496 - 369*m1 *m2 *n1  *n2 *n3 *r496

              2   8   11   4   4              2   8   9   10
       + 30*m1 *m2 *n1  *n2 *n3 *r496 + 214*m1 *m2 *n1 *n2  *r496

               2   8   9   8   2              2   8   9   6   4
       + 192*m1 *m2 *n1 *n2 *n3 *r496 - 342*m1 *m2 *n1 *n2 *n3 *r496

              2   8   7   12              2   8   7   10   2
       - 86*m1 *m2 *n1 *n2  *r496 + 645*m1 *m2 *n1 *n2  *n3 *r496

               2   8   7   8   4              2   8   5   14
       + 318*m1 *m2 *n1 *n2 *n3 *r496 - 117*m1 *m2 *n1 *n2  *r496

               2   8   5   12   2              2   8   5   10   4
       - 162*m1 *m2 *n1 *n2  *n3 *r496 + 372*m1 *m2 *n1 *n2  *n3 *r496

              2   8   3   16              2   8   3   14   2
       + 34*m1 *m2 *n1 *n2  *r496 - 186*m1 *m2 *n1 *n2  *n3 *r496

               2   8   3   12   4             2   8      16   2
       - 288*m1 *m2 *n1 *n2  *n3 *r496 + 30*m1 *m2 *n1*n2  *n3 *r496

              2   8      14   4               9   14   5
       + 30*m1 *m2 *n1*n2  *n3 *r496 + 4*m1*m2 *n1  *n2 *r496

                 9   12   7                9   12   5   2
       - 34*m1*m2 *n1  *n2 *r496 + 15*m1*m2 *n1  *n2 *n3 *r496

                9   10   9                 9   10   7   2
       - 9*m1*m2 *n1  *n2 *r496 - 120*m1*m2 *n1  *n2 *n3 *r496

                 9   10   5   4                9   8   11
       + 12*m1*m2 *n1  *n2 *n3 *r496 + 73*m1*m2 *n1 *n2  *r496

                9   8   9   2                9   8   7   4
       - 8*m1*m2 *n1 *n2 *n3 *r496 - 98*m1*m2 *n1 *n2 *n3 *r496

                 9   6   13                 9   6   11   2
       + 17*m1*m2 *n1 *n2  *r496 + 206*m1*m2 *n1 *n2  *n3 *r496

                 9   6   9   4                9   4   15
       + 50*m1*m2 *n1 *n2 *n3 *r496 - 27*m1*m2 *n1 *n2  *r496

                 9   4   13   2                 9   4   11   4
       + 41*m1*m2 *n1 *n2  *n3 *r496 + 122*m1*m2 *n1 *n2  *n3 *r496

                 9   2   15   2                9   2   13   4
       - 38*m1*m2 *n1 *n2  *n3 *r496 - 38*m1*m2 *n1 *n2  *n3 *r496

           10   13   6            10   11   8            10   11   6   2
       + m2  *n1  *n2 *r496 - 5*m2  *n1  *n2 *r496 + 3*m2  *n1  *n2 *n3 *r496

             10   9   10             10   9   8   2
       - 5*m2  *n1 *n2  *r496 - 16*m2  *n1 *n2 *n3 *r496

             10   9   6   4            10   7   12
       + 2*m2  *n1 *n2 *n3 *r496 + 9*m2  *n1 *n2  *r496

             10   7   10   2             10   7   8   4
       - 9*m2  *n1 *n2  *n3 *r496 - 12*m2  *n1 *n2 *n3 *r496

             10   5   14             10   5   12   2
       + 8*m2  *n1 *n2  *r496 + 26*m2  *n1 *n2  *n3 *r496

             10   5   10   4             10   3   14   2
       + 2*m2  *n1 *n2  *n3 *r496 + 16*m2  *n1 *n2  *n3 *r496

              10   3   12   4                9   12   5   2
       + 16*m2  *n1 *n2  *n3 *r496)/(2*a33*m1 *n1  *n2 *n3

              9   12   3   4           9   10   7   2           9   10   5   4
    - 4*a33*m1 *n1  *n2 *n3  + 2*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1  *n2 *n3

              9   8   9   2           9   8   7   4           9   6   11   2
    - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2  *n3

              9   6   9   4           8      13   6            8      13   4   2
    + 4*a33*m1 *n1 *n2 *n3  + 2*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

               8      13   2   4           8      11   8
    + 12*a33*m1 *m2*n1  *n2 *n3  + 4*a33*m1 *m2*n1  *n2

              8      11   6   2            8      11   4   4
    - 6*a33*m1 *m2*n1  *n2 *n3  - 12*a33*m1 *m2*n1  *n2 *n3

               8      9   8   2            8      9   6   4
    + 18*a33*m1 *m2*n1 *n2 *n3  - 36*a33*m1 *m2*n1 *n2 *n3

              8      7   12           8      7   10   2
    - 4*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

               8      7   8   4           8      5   14
    + 12*a33*m1 *m2*n1 *n2 *n3  - 2*a33*m1 *m2*n1 *n2

              8      5   12   2            8      5   10   4
    - 6*a33*m1 *m2*n1 *n2  *n3  + 24*a33*m1 *m2*n1 *n2  *n3

              7   2   14   5            7   2   14   3   2
    - 8*a33*m1 *m2 *n1  *n2  + 24*a33*m1 *m2 *n1  *n2 *n3

               7   2   14      4           7   2   12   7
    - 12*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

               7   2   12   5   2            7   2   12   3   4
    - 24*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1  *n2 *n3

               7   2   10   9            7   2   10   7   2
    + 16*a33*m1 *m2 *n1  *n2  - 72*a33*m1 *m2 *n1  *n2 *n3

               7   2   10   5   4            7   2   8   11
    + 24*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               7   2   8   9   2             7   2   8   7   4
    + 24*a33*m1 *m2 *n1 *n2 *n3  - 120*a33*m1 *m2 *n1 *n2 *n3

              7   2   6   13            7   2   6   11   2
    - 8*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2  *n3

               7   2   6   9   4           7   2   4   15
    - 12*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               7   2   4   11   4            6   3   15   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2

               6   3   15   2   2           6   3   15   4
    - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

              6   3   13   6            6   3   13   4   2
    - 8*a33*m1 *m2 *n1  *n2  + 88*a33*m1 *m2 *n1  *n2 *n3

               6   3   13   2   4            6   3   11   8
    - 68*a33*m1 *m2 *n1  *n2 *n3  - 52*a33*m1 *m2 *n1  *n2

               6   3   11   6   2             6   3   11   4   4
    + 68*a33*m1 *m2 *n1  *n2 *n3  + 104*a33*m1 *m2 *n1  *n2 *n3

                6   3   9   8   2             6   3   9   6   4
    - 168*a33*m1 *m2 *n1 *n2 *n3  + 168*a33*m1 *m2 *n1 *n2 *n3

               6   3   7   12            6   3   7   10   2
    + 52*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2  *n3

                6   3   7   8   4           6   3   5   14
    - 188*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

               6   3   5   12   2             6   3   5   10   4
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 100*a33*m1 *m2 *n1 *n2  *n3

               6   3   3   16            6   3   3   14   2
    - 12*a33*m1 *m2 *n1 *n2   + 20*a33*m1 *m2 *n1 *n2  *n3

               6   3   3   12   4           5   4   16   3
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1  *n2

              5   4   16      2            5   4   14   5
    + 6*a33*m1 *m2 *n1  *n2*n3  + 32*a33*m1 *m2 *n1  *n2

               5   4   14   3   2            5   4   14      4
    - 90*a33*m1 *m2 *n1  *n2 *n3  + 24*a33*m1 *m2 *n1  *n2*n3

               5   4   12   7            5   4   12   5   2
    + 48*a33*m1 *m2 *n1  *n2  + 78*a33*m1 *m2 *n1  *n2 *n3

                5   4   12   3   4            5   4   10   9
    - 156*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2

                5   4   10   7   2            5   4   10   5   4
    + 270*a33*m1 *m2 *n1  *n2 *n3  + 36*a33*m1 *m2 *n1  *n2 *n3

               5   4   8   11             5   4   8   9   2
    - 72*a33*m1 *m2 *n1 *n2   - 114*a33*m1 *m2 *n1 *n2 *n3

                5   4   8   7   4            5   4   6   13
    + 336*a33*m1 *m2 *n1 *n2 *n3  + 48*a33*m1 *m2 *n1 *n2

                5   4   6   11   2             5   4   6   9   4
    - 210*a33*m1 *m2 *n1 *n2  *n3  - 120*a33*m1 *m2 *n1 *n2 *n3

               5   4   4   15            5   4   4   13   2
    + 32*a33*m1 *m2 *n1 *n2   + 30*a33*m1 *m2 *n1 *n2  *n3

                5   4   4   11   4           5   4   2   17
    - 180*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2

               5   4   2   15   2            5   4   2   13   4
    + 30*a33*m1 *m2 *n1 *n2  *n3  + 60*a33*m1 *m2 *n1 *n2  *n3

              4   5   17   2            4   5   15   4
    + 2*a33*m1 *m2 *n1  *n2  - 28*a33*m1 *m2 *n1  *n2

               4   5   15   2   2           4   5   13   6
    + 30*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                4   5   13   4   2            4   5   13   2   4
    - 150*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1  *n2 *n3

                4   5   11   8            4   5   11   6   2
    + 108*a33*m1 *m2 *n1  *n2  - 90*a33*m1 *m2 *n1  *n2 *n3

                4   5   11   4   4             4   5   9   8   2
    - 180*a33*m1 *m2 *n1  *n2 *n3  + 330*a33*m1 *m2 *n1 *n2 *n3

                4   5   9   6   4             4   5   7   12
    - 120*a33*m1 *m2 *n1 *n2 *n3  - 108*a33*m1 *m2 *n1 *n2

                4   5   7   10   2             4   5   7   8   4
    + 102*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

              4   5   5   14             4   5   5   12   2
    - 8*a33*m1 *m2 *n1 *n2   - 198*a33*m1 *m2 *n1 *n2  *n3

               4   5   5   10   4            4   5   3   16
    + 36*a33*m1 *m2 *n1 *n2  *n3  + 28*a33*m1 *m2 *n1 *n2

               4   5   3   14   2             4   5   3   12   4
    - 42*a33*m1 *m2 *n1 *n2  *n3  - 156*a33*m1 *m2 *n1 *n2  *n3

              4   5      18            4   5      16   2
    - 2*a33*m1 *m2 *n1*n2   + 18*a33*m1 *m2 *n1*n2  *n3

               4   5      14   4           3   6   16   3
    + 24*a33*m1 *m2 *n1*n2  *n3  + 8*a33*m1 *m2 *n1  *n2

               3   6   14   5            3   6   14   3   2
    - 32*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               3   6   12   7             3   6   12   5   2
    - 48*a33*m1 *m2 *n1  *n2  - 100*a33*m1 *m2 *n1  *n2 *n3

               3   6   12   3   4            3   6   10   9
    + 80*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2

                3   6   10   7   2             3   6   10   5   4
    - 220*a33*m1 *m2 *n1  *n2 *n3  - 100*a33*m1 *m2 *n1  *n2 *n3

               3   6   8   11             3   6   8   9   2
    + 72*a33*m1 *m2 *n1 *n2   + 148*a33*m1 *m2 *n1 *n2 *n3

                3   6   8   7   4            3   6   6   13
    - 188*a33*m1 *m2 *n1 *n2 *n3  - 48*a33*m1 *m2 *n1 *n2

                3   6   6   11   2             3   6   6   9   4
    + 204*a33*m1 *m2 *n1 *n2  *n3  + 168*a33*m1 *m2 *n1 *n2 *n3

               3   6   4   15            3   6   4   13   2
    - 32*a33*m1 *m2 *n1 *n2   - 52*a33*m1 *m2 *n1 *n2  *n3

                3   6   4   11   4           3   6   2   17
    + 104*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2

               3   6   2   15   2            3   6   2   13   4
    - 44*a33*m1 *m2 *n1 *n2  *n3  - 68*a33*m1 *m2 *n1 *n2  *n3

              3   6   17   2           3   6   15   4            2   7   15   4
    + 4*a33*m1 *m2 *n2  *n3  + 4*a33*m1 *m2 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2

              2   7   13   6            2   7   13   4   2
    - 8*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               2   7   11   8            2   7   11   4   4
    - 52*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

                2   7   9   8   2            2   7   9   6   4
    - 156*a33*m1 *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1 *n2 *n3

               2   7   7   12            2   7   7   10   2
    + 52*a33*m1 *m2 *n1 *n2   - 24*a33*m1 *m2 *n1 *n2  *n3

                2   7   7   8   4           2   7   5   14
    - 120*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

                2   7   5   12   2            2   7   5   10   4
    + 108*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   16            2   7   3   14   2
    - 12*a33*m1 *m2 *n1 *n2   + 24*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   12   4            2   7      16   2
    + 60*a33*m1 *m2 *n1 *n2  *n3  - 12*a33*m1 *m2 *n1*n2  *n3

               2   7      14   4              8   14   5              8   12   7
    - 12*a33*m1 *m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1  *n2  + 8*a33*m1*m2 *n1  *n2

                  8   12   5   2               8   10   9
    + 30*a33*m1*m2 *n1  *n2 *n3  - 16*a33*m1*m2 *n1  *n2

                  8   10   7   2               8   10   5   4
    + 30*a33*m1*m2 *n1  *n2 *n3  + 24*a33*m1*m2 *n1  *n2 *n3

                  8   8   11               8   8   9   2
    - 16*a33*m1*m2 *n1 *n2   - 42*a33*m1*m2 *n1 *n2 *n3

                  8   8   7   4              8   6   13
    + 12*a33*m1*m2 *n1 *n2 *n3  + 8*a33*m1*m2 *n1 *n2

                  8   6   11   2               8   6   9   4
    - 42*a33*m1*m2 *n1 *n2  *n3  - 36*a33*m1*m2 *n1 *n2 *n3

                 8   4   15               8   4   13   2
    + 8*a33*m1*m2 *n1 *n2   + 12*a33*m1*m2 *n1 *n2  *n3

                  8   4   11   4               8   2   15   2
    - 12*a33*m1*m2 *n1 *n2  *n3  + 12*a33*m1*m2 *n1 *n2  *n3

                  8   2   13   4           9   13   6           9   11   8
    + 12*a33*m1*m2 *n1 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1  *n2

              9   11   6   2            9   9   8   2           9   9   6   4
    + 6*a33*m2 *n1  *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              9   7   12           9   7   10   2           9   7   8   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2  *n3  + 4*a33*m2 *n1 *n2 *n3

              9   5   14            9   5   12   2           9   5   10   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2  *n3

              9   3   14   2           9   3   12   4
    - 4*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2  *n3 )


r314=0


                                            2             2
      2*m1*n2*n3*r496 - 2*m2*n1*n3*r496 - n1 *n3*r483 - n2 *n3*r483
r315=---------------------------------------------------------------
                                  2           2
                          2*a33*n1  + 2*a33*n2


           2   6   6   4   3             2   6   6   2   5
r316=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   3             2   6   4   4   5
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5                 2   5      7   3   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      5             2   5      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   5   3              2   5      5   3   5
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9                2   5      3   7   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   5             2   5   8   3   3
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      5             2   5   6   5   3
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   5             2   5   4   7   3
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   5              2   4   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   2   3             2   4   2   8   5
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6                 2   4   2   6   4   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   5             2   4   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   6   3              2   4   2   4   4   5
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10                 2   4   2   2   8   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   5             2   4      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   2   3             2   4      9   5
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6                 2   4      7   4   3
       + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   5             2   4      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   6   3              2   4      5   4   5
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10                2   4      3   8   3
       + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   5              2   3   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9      3              2   3   3   7   3   3
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      5              2   3   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   5   3              2   3   3   5   3   5
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9                 2   3   3   3   7   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   5             2   3   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      9   3              2   3   3      7   5
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3                2   3   2   10      3
       - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5                2   3   2   8   3   3
       - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      5              2   3   2   6   5   3
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   5             2   3   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   4   7   3              2   3   2   4   5   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11                2   3   2   2   9   3
       + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   5             2   2   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   4                 2   2   4   8   2   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6                 2   2   4   6   4   3
       + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   5              2   2   4   4   6   3
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   5              2   2   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   8   3              2   2   4   2   6   5
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2                2   2   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   2   3              2   2   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   4   3              2   2   3   7   2   5
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8                 2   2   3   5   6   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   5             2   2   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   8   3             2   2   3   3   6   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12                 2   2   3      10   3
       + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   5             2      5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   5                 2      5   7   3   3
       - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7                 2      5   5   5   3
       + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   5              2      5   3   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   3   7   3              2      5   3   5   5
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   3              2      5      7   5
       + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3                2      4   8   5
       + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   3   3              2      4   6   5   3
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   5             2      4   4   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   4   7   3              2      4   4   5   5
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11                2      4   2   9   3
       - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   5             2      4   11   3
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   5             2   6   8   4
       - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   6                 2   6   6   4   3
       - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8                 2   6   4   6   3
       - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   5             2   6   2   8   3
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   5             2   5   9   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   6                2   5   7   4   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8                 2   5   5   6   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   5             2   5   3   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   8   3             2   5   3   6   5
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   3             2   5      8   5
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

           5   10   3   3            5   10      5            5   8   5   3
       + m1 *n1  *n2 *n3 *r496 - 2*m1 *n1  *n2*n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   8   3   5          5   6   7   3            5   6   5   5
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      11   4               4      11   2   3
       + m1 *m2*n1  *n2 *n3*r496 - 3*m1 *m2*n1  *n2 *n3 *r496

             4      9   6               4      9   4   3
       + 3*m1 *m2*n1 *n2 *n3*r496 - 4*m1 *m2*n1 *n2 *n3 *r496

              4      9   2   5            4      7   8
       - 10*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *n3*r496

           4      7   6   3             4      7   4   5
       + m1 *m2*n1 *n2 *n3 *r496 - 20*m1 *m2*n1 *n2 *n3 *r496

           4      5   10               4      5   8   3
       + m1 *m2*n1 *n2  *n3*r496 + 2*m1 *m2*n1 *n2 *n3 *r496

              4      5   6   5          3   2   12   3
       - 10*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

              3   2   10   3   3            3   2   8   7
       - 12*m1 *m2 *n1  *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2 *n3*r496

              3   2   8   5   3             3   2   8   3   5
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   9                3   2   6   7   3
       + 8*m1 *m2 *n1 *n2 *n3*r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   5            3   2   4   11
       - 40*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1 *n2  *n3*r496

             3   2   4   9   3             3   2   4   7   5
       - 2*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

             2   3   11   4               2   3   9   6
       - 3*m1 *m2 *n1  *n2 *n3*r496 - 6*m1 *m2 *n1 *n2 *n3*r496

              2   3   9   4   3             2   3   7   6   3
       - 18*m1 *m2 *n1 *n2 *n3 *r496 - 44*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   5            2   3   5   10
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2  *n3*r496

              2   3   5   8   3             2   3   5   6   5
       - 34*m1 *m2 *n1 *n2 *n3 *r496 - 40*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   12               2   3   3   10   3
       + 3*m1 *m2 *n1 *n2  *n3*r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   5               4   10   5
       - 20*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1*m2 *n1  *n2 *n3*r496

                4   8   7                   4   8   5   3
       - 8*m1*m2 *n1 *n2 *n3*r496 - 12*m1*m2 *n1 *n2 *n3 *r496

                4   6   9                   4   6   7   3
       - 6*m1*m2 *n1 *n2 *n3*r496 - 31*m1*m2 *n1 *n2 *n3 *r496

                 4   6   5   5                4   4   9   3
       - 10*m1*m2 *n1 *n2 *n3 *r496 - 26*m1*m2 *n1 *n2 *n3 *r496

                 4   4   7   5             4   2   13
       - 20*m1*m2 *n1 *n2 *n3 *r496 + m1*m2 *n1 *n2  *n3*r496

                4   2   11   3                4   2   9   5
       - 7*m1*m2 *n1 *n2  *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

           5   9   6               5   7   8               5   7   6   3
       - m2 *n1 *n2 *n3*r496 - 3*m2 *n1 *n2 *n3*r496 - 3*m2 *n1 *n2 *n3 *r496

             5   5   10               5   5   8   3
       - 3*m2 *n1 *n2  *n3*r496 - 8*m2 *n1 *n2 *n3 *r496

             5   5   6   5          5   3   12               5   3   10   3
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2  *n3 *r496

             5   3   8   5            5      12   3
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1*n2  *n3 *r496

             5      10   5              5   9   4   2           5   9   2   4
       - 2*m2 *n1*n2  *n3 *r496)/(a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3

            5   7   6   2           5   7   4   4         5   5   8   2
    + a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3  - a33*m1 *n1 *n2 *n3

              5   5   6   4         5   3   10   2           5   3   8   4
    + 2*a33*m1 *n1 *n2 *n3  - a33*m1 *n1 *n2  *n3  + 2*a33*m1 *n1 *n2 *n3

            4      10   5           4      10   3   2           4      10      4
    + a33*m1 *m2*n1  *n2  - 5*a33*m1 *m2*n1  *n2 *n3  + 4*a33*m1 *m2*n1  *n2*n3

              4      8   7           4      8   5   2           4      8   3   4
    + 2*a33*m1 *m2*n1 *n2  - 5*a33*m1 *m2*n1 *n2 *n3  - 2*a33*m1 *m2*n1 *n2 *n3

              4      6   7   2            4      6   5   4
    + 5*a33*m1 *m2*n1 *n2 *n3  - 10*a33*m1 *m2*n1 *n2 *n3

              4      4   11           4      4   9   2
    - 2*a33*m1 *m2*n1 *n2   + 5*a33*m1 *m2*n1 *n2 *n3

              4      4   7   4         4      2   13           4      2   9   4
    + 2*a33*m1 *m2*n1 *n2 *n3  - a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2 *n3

              3   2   11   4           3   2   11   2   2
    - 3*a33*m1 *m2 *n1  *n2  + 7*a33*m1 *m2 *n1  *n2 *n3

              3   2   11   4           3   2   9   6         3   2   9   4   2
    - 2*a33*m1 *m2 *n1  *n3  - 5*a33*m1 *m2 *n1 *n2  + a33*m1 *m2 *n1 *n2 *n3

               3   2   9   2   4           3   2   7   8
    + 10*a33*m1 *m2 *n1 *n2 *n3  + 2*a33*m1 *m2 *n1 *n2

               3   2   7   6   2           3   2   7   4   4
    - 16*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2 *n3

              3   2   5   10           3   2   5   8   2
    + 6*a33*m1 *m2 *n1 *n2   - 4*a33*m1 *m2 *n1 *n2 *n3

               3   2   5   6   4         3   2   3   12
    - 16*a33*m1 *m2 *n1 *n2 *n3  + a33*m1 *m2 *n1 *n2

              3   2   3   10   2           3   2   3   8   4
    + 9*a33*m1 *m2 *n1 *n2  *n3  - 6*a33*m1 *m2 *n1 *n2 *n3

            3   2      14           3   2      12   2
    - a33*m1 *m2 *n1*n2   + 3*a33*m1 *m2 *n1*n2  *n3

              3   2      10   4           2   3   12   3
    + 6*a33*m1 *m2 *n1*n2  *n3  + 3*a33*m1 *m2 *n1  *n2

              2   3   12      2           2   3   10   5
    - 3*a33*m1 *m2 *n1  *n2*n3  + 3*a33*m1 *m2 *n1  *n2

              2   3   10   3   2           2   3   10      4
    + 9*a33*m1 *m2 *n1  *n2 *n3  - 6*a33*m1 *m2 *n1  *n2*n3

              2   3   8   7            2   3   8   5   2
    - 6*a33*m1 *m2 *n1 *n2  + 18*a33*m1 *m2 *n1 *n2 *n3

              2   3   8   3   4           2   3   6   9
    + 6*a33*m1 *m2 *n1 *n2 *n3  - 6*a33*m1 *m2 *n1 *n2

              2   3   6   7   2            2   3   6   5   4
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2 *n3

              2   3   4   11            2   3   4   9   2
    + 3*a33*m1 *m2 *n1 *n2   - 17*a33*m1 *m2 *n1 *n2 *n3

              2   3   4   7   4           2   3   2   13
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 3*a33*m1 *m2 *n1 *n2

            2   3   2   11   2            2   3   2   9   4
    - a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2 *n3

              2   3   13   2           2   3   11   4            4   13   2
    + 2*a33*m1 *m2 *n2  *n3  + 2*a33*m1 *m2 *n2  *n3  - a33*m1*m2 *n1  *n2

               4   11   4              4   11   2   2              4   9   6
    + a33*m1*m2 *n1  *n2  - 6*a33*m1*m2 *n1  *n2 *n3  + 6*a33*m1*m2 *n1 *n2

                 4   9   4   2              4   9   2   4              4   7   8
    - 3*a33*m1*m2 *n1 *n2 *n3  - 6*a33*m1*m2 *n1 *n2 *n3  + 2*a33*m1*m2 *n1 *n2

                  4   7   6   2              4   7   4   4
    + 13*a33*m1*m2 *n1 *n2 *n3  - 2*a33*m1*m2 *n1 *n2 *n3

                 4   5   10              4   5   8   2
    - 5*a33*m1*m2 *n1 *n2   + 7*a33*m1*m2 *n1 *n2 *n3

                  4   5   6   4              4   3   12
    + 10*a33*m1*m2 *n1 *n2 *n3  - 3*a33*m1*m2 *n1 *n2

                 4   3   10   2              4   3   8   4
    - 7*a33*m1*m2 *n1 *n2  *n3  + 2*a33*m1*m2 *n1 *n2 *n3

                 4      12   2              4      10   4         5   12   3
    - 4*a33*m1*m2 *n1*n2  *n3  - 4*a33*m1*m2 *n1*n2  *n3  - a33*m2 *n1  *n2

              5   10   5           5   10   3   2           5   8   5   2
    - 2*a33*m2 *n1  *n2  - 3*a33*m2 *n1  *n2 *n3  - 5*a33*m2 *n1 *n2 *n3

              5   8   3   4           5   6   9         5   6   7   2
    - 2*a33*m2 *n1 *n2 *n3  + 2*a33*m2 *n1 *n2  + a33*m2 *n1 *n2 *n3

              5   6   5   4         5   4   11           5   4   9   2
    - 2*a33*m2 *n1 *n2 *n3  + a33*m2 *n1 *n2   + 5*a33*m2 *n1 *n2 *n3

              5   4   7   4           5   2   11   2           5   2   9   4
    + 2*a33*m2 *n1 *n2 *n3  + 2*a33*m2 *n1 *n2  *n3  + 2*a33*m2 *n1 *n2 *n3 )


           2   9   8   6   2              2   9   8   4   4
r317=(8*a33 *m1 *n1 *n2 *n3 *r214 - 16*a33 *m1 *n1 *n2 *n3 *r214

              2   9   6   8   2              2   9   6   6   4
       + 8*a33 *m1 *n1 *n2 *n3 *r214 - 16*a33 *m1 *n1 *n2 *n3 *r214

              2   8      9   7              2   8      9   5   2
       + 8*a33 *m1 *m2*n1 *n2 *r214 - 52*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   8      9   3   4              2   8      7   9
       + 56*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *r214

               2   8      7   7   2              2   8      7   5   4
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 32*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   8      5   11              2   8      5   9   2
       + 8*a33 *m1 *m2*n1 *n2  *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   8      5   7   4             2   8   10   5   2
       - 88*a33 *m1 *m2*n1 *n2 *n3 *r214 + 4*a33 *m1 *n1  *n2 *n3 *r216

              2   8   10   3   4             2   8   8   7   2
       - 8*a33 *m1 *n1  *n2 *n3 *r216 + 8*a33 *m1 *n1 *n2 *n3 *r216

               2   8   8   5   4             2   8   6   9   2
       - 16*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   8   6   7   4              2   7   2   10   6
       - 8*a33 *m1 *n1 *n2 *n3 *r216 - 36*a33 *m1 *m2 *n1  *n2 *r214

                2   7   2   10   4   2              2   7   2   10   2   4
       + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 72*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   2   8   8              2   7   2   8   6   2
       - 44*a33 *m1 *m2 *n1 *n2 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   2   8   4   4              2   7   2   6   10
       + 232*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 20*a33 *m1 *m2 *n1 *n2  *r214

                2   7   2   6   8   2               2   7   2   6   6   4
       - 184*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 104*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   2   4   12             2   7   2   4   10   2
       + 28*a33 *m1 *m2 *n1 *n2  *r214 - 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   2   4   8   4             2   7      11   6
       - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2*n1  *n2 *r216

               2   7      11   4   2              2   7      11   2   4
       - 22*a33 *m1 *m2*n1  *n2 *n3 *r216 + 20*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   7      9   8              2   7      9   6   2
       + 12*a33 *m1 *m2*n1 *n2 *r216 - 34*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   7      9   4   4              2   7      7   10
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2*n1 *n2  *r216

              2   7      7   8   2              2   7      7   6   4
       - 2*a33 *m1 *m2*n1 *n2 *n3 *r216 - 68*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   7      5   12              2   7      5   10   2
       + 4*a33 *m1 *m2*n1 *n2  *r216 + 10*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   7      5   8   4              2   6   3   11   5
       - 44*a33 *m1 *m2*n1 *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1  *n2 *r214

                2   6   3   11   3   2              2   6   3   11      4
       - 128*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1  *n2*n3 *r214

              2   6   3   9   7               2   6   3   9   5   2
       + 4*a33 *m1 *m2 *n1 *n2 *r214 + 328*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   3   9   3   4               2   6   3   7   9
       - 344*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 148*a33 *m1 *m2 *n1 *n2 *r214

                2   6   3   7   7   2               2   6   3   7   5   4
       + 296*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 296*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   3   5   11               2   6   3   5   9   2
       - 52*a33 *m1 *m2 *n1 *n2  *r214 - 232*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   3   5   7   4              2   6   3   3   13
       + 440*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 36*a33 *m1 *m2 *n1 *n2  *r214

               2   6   3   3   11   2               2   6   3   3   9   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   2   12   5              2   6   2   12   3   2
       - 14*a33 *m1 *m2 *n1  *n2 *r216 + 38*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   2   12      4              2   6   2   10   7
       - 16*a33 *m1 *m2 *n1  *n2*n3 *r216 - 28*a33 *m1 *m2 *n1  *n2 *r216

              2   6   2   10   5   2              2   6   2   10   3   4
       - 2*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 76*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   2   8   7   2               2   6   2   8   5   4
       - 122*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 100*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   2   6   11              2   6   2   6   9   2
       + 28*a33 *m1 *m2 *n1 *n2  *r216 - 86*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   2   6   7   4              2   6   2   4   13
       - 92*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 14*a33 *m1 *m2 *n1 *n2  *r216

              2   6   2   4   11   2               2   6   2   4   9   4
       - 4*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 100*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   4   12   4              2   5   4   12   2   2
       - 56*a33 *m1 *m2 *n1  *n2 *r214 + 64*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   5   4   12   4               2   5   4   10   6
       - 8*a33 *m1 *m2 *n1  *n3 *r214 + 104*a33 *m1 *m2 *n1  *n2 *r214

                2   5   4   10   4   2               2   5   4   10   2   4
       - 448*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 200*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   4   8   8              2   5   4   8   6   2
       + 220*a33 *m1 *m2 *n1 *n2 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   4   8   4   4              2   5   4   6   10
       - 632*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 76*a33 *m1 *m2 *n1 *n2  *r214

                2   5   4   6   8   2              2   5   4   6   6   4
       + 680*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   4   4   12             2   5   4   4   10   2
       - 116*a33 *m1 *m2 *n1 *n2  *r214 - 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   4   4   8   4              2   5   4   2   14
       + 640*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 20*a33 *m1 *m2 *n1 *n2  *r214

               2   5   4   2   12   2               2   5   4   2   10   4
       - 88*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 160*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   3   13   4              2   5   3   13   2   2
       + 18*a33 *m1 *m2 *n1  *n2 *r216 - 26*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   3   13   4             2   5   3   11   6
       + 4*a33 *m1 *m2 *n1  *n3 *r216 + 6*a33 *m1 *m2 *n1  *n2 *r216

               2   5   3   11   4   2              2   5   3   11   2   4
       + 98*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 76*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   3   9   8               2   5   3   9   6   2
       - 72*a33 *m1 *m2 *n1 *n2 *r216 + 190*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   3   9   4   4              2   5   3   7   10
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2  *r216

               2   5   3   7   8   2               2   5   3   7   6   4
       - 54*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 276*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   3   5   12               2   5   3   5   10   2
       + 6*a33 *m1 *m2 *n1 *n2  *r216 - 156*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   3   3   14              2   5   3   3   12   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 36*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   3   3   10   4              2   4   5   13   3
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1  *n2 *r214

               2   4   5   13      2               2   4   5   11   5
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 136*a33 *m1 *m2 *n1  *n2 *r214

                2   4   5   11   3   2              2   4   5   11      4
       + 248*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 40*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   4   5   9   7               2   4   5   9   5   2
       - 80*a33 *m1 *m2 *n1 *n2 *r214 - 500*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   5   9   3   4               2   4   5   7   9
       + 400*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 260*a33 *m1 *m2 *n1 *n2 *r214

                2   4   5   7   7   2               2   4   5   7   5   4
       - 520*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 520*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   5   5   11               2   4   5   5   9   2
       + 100*a33 *m1 *m2 *n1 *n2  *r214 + 460*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   5   5   7   4              2   4   5   3   13
       - 440*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 76*a33 *m1 *m2 *n1 *n2  *r214

                2   4   5   3   11   2               2   4   5   3   9   4
       + 176*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 464*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   5      15              2   4   5      13   2
       + 4*a33 *m1 *m2 *n1*n2  *r214 - 44*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   4   5      11   4              2   4   4   14   3
       - 56*a33 *m1 *m2 *n1*n2  *n3 *r214 - 10*a33 *m1 *m2 *n1  *n2 *r216

              2   4   4   14      2              2   4   4   12   5
       + 6*a33 *m1 *m2 *n1  *n2*n3 *r216 + 30*a33 *m1 *m2 *n1  *n2 *r216

               2   4   4   12   3   2              2   4   4   12      4
       - 94*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   4   4   10   7              2   4   4   10   5   2
       + 90*a33 *m1 *m2 *n1  *n2 *r216 + 10*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   4   10   3   4               2   4   4   8   7   2
       - 140*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 330*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   4   8   5   4              2   4   4   6   11
       - 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 90*a33 *m1 *m2 *n1 *n2  *r216

                2   4   4   6   9   2               2   4   4   6   7   4
       + 180*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 300*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   4   4   13              2   4   4   4   11   2
       - 30*a33 *m1 *m2 *n1 *n2  *r216 - 84*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   4   4   9   4              2   4   4   2   15
       + 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 10*a33 *m1 *m2 *n1 *n2  *r216

               2   4   4   2   13   2              2   4   4   2   11   4
       - 44*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   6   14   2              2   3   6   12   4
       - 4*a33 *m1 *m2 *n1  *n2 *r214 + 68*a33 *m1 *m2 *n1  *n2 *r214

               2   3   6   12   2   2              2   3   6   10   6
       - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 68*a33 *m1 *m2 *n1  *n2 *r214

                2   3   6   10   4   2              2   3   6   10   2   4
       + 352*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   6   8   8              2   3   6   8   6   2
       - 220*a33 *m1 *m2 *n1 *n2 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   6   8   4   4              2   3   6   6   10
       + 400*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1 *n2  *r214

                2   3   6   6   8   2               2   3   6   6   6   4
       - 600*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   6   4   12             2   3   6   4   10   2
       + 104*a33 *m1 *m2 *n1 *n2  *r214 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   6   4   8   4              2   3   6   2   14
       - 424*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

                2   3   6   2   12   2               2   3   6   2   10   4
       + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   6   14   2             2   3   6   12   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2  *n3 *r214

              2   3   5   15   2              2   3   5   13   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 26*a33 *m1 *m2 *n1  *n2 *r216

               2   3   5   13   2   2              2   3   5   11   6
       + 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 18*a33 *m1 *m2 *n1  *n2 *r216

                2   3   5   11   4   2              2   3   5   11   2   4
       - 116*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   5   9   8               2   3   5   9   6   2
       + 90*a33 *m1 *m2 *n1 *n2 *r216 - 180*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   5   9   4   4              2   3   5   7   10
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 90*a33 *m1 *m2 *n1 *n2  *r216

                2   3   5   7   8   2               2   3   5   7   6   4
       + 150*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 180*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   5   5   12               2   3   5   5   10   2
       - 18*a33 *m1 *m2 *n1 *n2  *r216 + 234*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   5   5   8   4              2   3   5   3   14
       + 132*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 26*a33 *m1 *m2 *n1 *n2  *r216

               2   3   5   3   12   2               2   3   5   3   10   4
       + 22*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 124*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   5      16              2   3   5      14   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 22*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   5      12   4              2   2   7   13   3
       - 28*a33 *m1 *m2 *n1*n2  *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r214

               2   2   7   11   5              2   2   7   11   3   2
       + 60*a33 *m1 *m2 *n1  *n2 *r214 - 72*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   2   7   9   7               2   2   7   9   5   2
       + 52*a33 *m1 *m2 *n1 *n2 *r214 + 208*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   7   9   3   4               2   2   7   7   9
       - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 100*a33 *m1 *m2 *n1 *n2 *r214

                2   2   7   7   7   2               2   2   7   7   5   4
       + 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 200*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   7   5   11               2   2   7   5   9   2
       - 56*a33 *m1 *m2 *n1 *n2  *r214 - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   7   5   7   4              2   2   7   3   13
       + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *r214

               2   2   7   3   11   2               2   2   7   3   9   4
       - 96*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   7      13   2              2   2   7      11   4
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 24*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   2   6   14   3              2   2   6   12   5
       + 6*a33 *m1 *m2 *n1  *n2 *r216 - 18*a33 *m1 *m2 *n1  *n2 *r216

               2   2   6   12   3   2              2   2   6   10   7
       + 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 54*a33 *m1 *m2 *n1  *n2 *r216

               2   2   6   10   5   2              2   2   6   10   3   4
       - 44*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   2   6   8   7   2              2   2   6   8   5   4
       - 190*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   6   6   11              2   2   6   6   9   2
       + 54*a33 *m1 *m2 *n1 *n2  *r216 - 62*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   6   6   7   4              2   2   6   4   13
       - 140*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 18*a33 *m1 *m2 *n1 *n2  *r216

               2   2   6   4   11   2             2   2   6   4   9   4
       + 86*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   6   2   15              2   2   6   2   13   2
       - 6*a33 *m1 *m2 *n1 *n2  *r216 + 34*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   6   2   11   4             2   2   6   15   2
       + 52*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   6   13   4              2      8   12   4
       - 4*a33 *m1 *m2 *n2  *n3 *r216 - 12*a33 *m1*m2 *n1  *n2 *r214

               2      8   10   6              2      8   10   4   2
       + 12*a33 *m1*m2 *n1  *n2 *r214 - 48*a33 *m1*m2 *n1  *n2 *n3 *r214

               2      8   8   8              2      8   8   6   2
       + 44*a33 *m1*m2 *n1 *n2 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      8   8   4   4             2      8   6   10
       - 40*a33 *m1*m2 *n1 *n2 *n3 *r214 + 4*a33 *m1*m2 *n1 *n2  *r214

                2      8   6   8   2              2      8   6   6   4
       + 112*a33 *m1*m2 *n1 *n2 *n3 *r214 + 40*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      8   4   12             2      8   4   10   2
       - 16*a33 *m1*m2 *n1 *n2  *r214 + 8*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   4   8   4              2      8   2   12   2
       + 56*a33 *m1*m2 *n1 *n2 *n3 *r214 - 24*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   2   10   4             2      7   13   4
       - 24*a33 *m1*m2 *n1 *n2  *n3 *r214 + 6*a33 *m1*m2 *n1  *n2 *r216

              2      7   11   6              2      7   11   4   2
       + 2*a33 *m1*m2 *n1  *n2 *r216 + 24*a33 *m1*m2 *n1  *n2 *n3 *r216

               2      7   9   8              2      7   9   6   2
       - 24*a33 *m1*m2 *n1 *n2 *r216 + 14*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      7   9   4   4              2      7   7   10
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r216 - 24*a33 *m1*m2 *n1 *n2  *r216

               2      7   7   8   2             2      7   7   6   4
       - 62*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      7   5   12              2      7   5   10   2
       + 2*a33 *m1*m2 *n1 *n2  *r216 - 62*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      7   5   8   4             2      7   3   14
       - 44*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2  *r216

              2      7   3   12   2              2      7   3   10   4
       - 2*a33 *m1*m2 *n1 *n2  *n3 *r216 - 20*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      7      14   2             2      7      12   4
       + 8*a33 *m1*m2 *n1*n2  *n3 *r216 + 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2   9   11   5             2   9   9   7
       - 4*a33 *m2 *n1  *n2 *r214 - 4*a33 *m2 *n1 *n2 *r214

               2   9   9   5   2             2   9   7   9
       - 12*a33 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m2 *n1 *n2 *r214

              2   9   7   7   2             2   9   7   5   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   9   5   11              2   9   5   9   2
       + 4*a33 *m2 *n1 *n2  *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   9   3   11   2             2   9   3   9   4
       + 8*a33 *m2 *n1 *n2  *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   8   12   5             2   8   10   7
       + 2*a33 *m2 *n1  *n2 *r216 + 4*a33 *m2 *n1  *n2 *r216

              2   8   10   5   2              2   8   8   7   2
       + 6*a33 *m2 *n1  *n2 *n3 *r216 + 10*a33 *m2 *n1 *n2 *n3 *r216

              2   8   8   5   4             2   8   6   11
       + 4*a33 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2  *r216

              2   8   6   9   2             2   8   6   7   4
       - 2*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

              2   8   4   13              2   8   4   11   2
       - 2*a33 *m2 *n1 *n2  *r216 - 10*a33 *m2 *n1 *n2  *n3 *r216

              2   8   4   9   4             2   8   2   13   2
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2  *n3 *r216

              2   8   2   11   4            8   12   5   2
       - 4*a33 *m2 *n1 *n2  *n3 *r216 + 4*m1 *n1  *n2 *n3 *r496

             8   12   3   4            8   10   7   2
       - 8*m1 *n1  *n2 *n3 *r496 + 6*m1 *n1  *n2 *n3 *r496

              8   10   5   4            8   6   11   2
       - 12*m1 *n1  *n2 *n3 *r496 - 2*m1 *n1 *n2  *n3 *r496

             8   6   9   4            7      13   6
       + 4*m1 *n1 *n2 *n3 *r496 + 4*m1 *m2*n1  *n2 *r496

              7      13   4   2             7      13   2   4
       - 20*m1 *m2*n1  *n2 *n3 *r496 + 16*m1 *m2*n1  *n2 *n3 *r496

              7      11   8             7      11   6   2
       + 10*m1 *m2*n1  *n2 *r496 - 17*m1 *m2*n1  *n2 *n3 *r496

              7      11   4   4            7      9   10
       - 26*m1 *m2*n1  *n2 *n3 *r496 + 6*m1 *m2*n1 *n2  *r496

              7      9   8   2             7      9   6   4
       + 21*m1 *m2*n1 *n2 *n3 *r496 - 78*m1 *m2*n1 *n2 *n3 *r496

             7      7   12             7      7   10   2
       - 2*m1 *m2*n1 *n2  *r496 + 13*m1 *m2*n1 *n2  *n3 *r496

              7      7   8   4            7      5   14
       - 14*m1 *m2*n1 *n2 *n3 *r496 - 2*m1 *m2*n1 *n2  *r496

             7      5   12   2             7      5   10   4
       - 5*m1 *m2*n1 *n2  *n3 *r496 + 22*m1 *m2*n1 *n2  *n3 *r496

              6   2   14   5             6   2   14   3   2
       - 12*m1 *m2 *n1  *n2 *r496 + 29*m1 *m2 *n1  *n2 *n3 *r496

              6   2   14      4             6   2   12   7
       - 10*m1 *m2 *n1  *n2*n3 *r496 - 13*m1 *m2 *n1  *n2 *r496

              6   2   12   5   2             6   2   12   3   4
       - 43*m1 *m2 *n1  *n2 *n3 *r496 + 80*m1 *m2 *n1  *n2 *n3 *r496

              6   2   10   9              6   2   10   7   2
       + 26*m1 *m2 *n1  *n2 *r496 - 133*m1 *m2 *n1  *n2 *n3 *r496

              6   2   10   5   4             6   2   8   11
       + 14*m1 *m2 *n1  *n2 *n3 *r496 + 36*m1 *m2 *n1 *n2  *r496

              6   2   8   9   2              6   2   8   7   4
       - 19*m1 *m2 *n1 *n2 *n3 *r496 - 202*m1 *m2 *n1 *n2 *n3 *r496

             6   2   6   13             6   2   6   11   2
       + 2*m1 *m2 *n1 *n2  *r496 + 44*m1 *m2 *n1 *n2  *n3 *r496

              6   2   6   9   4            6   2   4   15
       - 76*m1 *m2 *n1 *n2 *n3 *r496 - 7*m1 *m2 *n1 *n2  *r496

             6   2   4   13   2             6   2   4   11   4
       + 2*m1 *m2 *n1 *n2  *n3 *r496 + 50*m1 *m2 *n1 *n2  *n3 *r496

              5   3   15   4             5   3   15   2   2
       + 13*m1 *m2 *n1  *n2 *r496 - 16*m1 *m2 *n1  *n2 *n3 *r496

             5   3   15   4             5   3   13   6
       + 2*m1 *m2 *n1  *n3 *r496 - 16*m1 *m2 *n1  *n2 *r496

               5   3   13   4   2             5   3   13   2   4
       + 107*m1 *m2 *n1  *n2 *n3 *r496 - 52*m1 *m2 *n1  *n2 *n3 *r496

              5   3   11   8             5   3   11   6   2
       - 77*m1 *m2 *n1  *n2 *r496 + 67*m1 *m2 *n1  *n2 *n3 *r496

               5   3   11   4   4             5   3   9   10
       + 154*m1 *m2 *n1  *n2 *n3 *r496 - 14*m1 *m2 *n1 *n2  *r496

               5   3   9   8   2              5   3   9   6   4
       - 247*m1 *m2 *n1 *n2 *n3 *r496 + 182*m1 *m2 *n1 *n2 *n3 *r496

              5   3   7   12              5   3   7   10   2
       + 65*m1 *m2 *n1 *n2  *r496 - 169*m1 *m2 *n1 *n2  *n3 *r496

               5   3   7   8   4             5   3   5   14
       - 256*m1 *m2 *n1 *n2 *n3 *r496 + 22*m1 *m2 *n1 *n2  *r496

              5   3   5   12   2              5   3   5   10   4
       + 40*m1 *m2 *n1 *n2  *n3 *r496 - 170*m1 *m2 *n1 *n2  *n3 *r496

             5   3   3   16             5   3   3   14   2
       - 9*m1 *m2 *n1 *n2  *r496 + 18*m1 *m2 *n1 *n2  *n3 *r496

              5   3   3   12   4            4   4   16   3
       + 60*m1 *m2 *n1 *n2  *n3 *r496 - 6*m1 *m2 *n1  *n2 *r496

             4   4   16      2             4   4   14   5
       + 3*m1 *m2 *n1  *n2*n3 *r496 + 34*m1 *m2 *n1  *n2 *r496

              4   4   14   3   2             4   4   14      4
       - 65*m1 *m2 *n1  *n2 *n3 *r496 + 10*m1 *m2 *n1  *n2*n3 *r496

              4   4   12   7              4   4   12   5   2
       + 40*m1 *m2 *n1  *n2 *r496 + 127*m1 *m2 *n1  *n2 *n3 *r496

               4   4   12   3   4             4   4   10   9
       - 110*m1 *m2 *n1  *n2 *n3 *r496 - 95*m1 *m2 *n1  *n2 *r496

               4   4   10   7   2              4   4   10   5   4
       + 295*m1 *m2 *n1  *n2 *n3 *r496 + 130*m1 *m2 *n1  *n2 *n3 *r496

               4   4   8   11              4   4   8   9   2
       - 100*m1 *m2 *n1 *n2  *r496 - 130*m1 *m2 *n1 *n2 *n3 *r496

               4   4   8   7   4             4   4   6   13
       + 350*m1 *m2 *n1 *n2 *n3 *r496 + 34*m1 *m2 *n1 *n2  *r496

               4   4   6   11   2              4   4   6   9   4
       - 272*m1 *m2 *n1 *n2  *n3 *r496 - 140*m1 *m2 *n1 *n2 *n3 *r496

              4   4   4   15             4   4   4   13   2
       + 34*m1 *m2 *n1 *n2  *r496 - 20*m1 *m2 *n1 *n2  *n3 *r496

               4   4   4   11   4            4   4   2   17
       - 200*m1 *m2 *n1 *n2  *n3 *r496 - 5*m1 *m2 *n1 *n2  *r496

              4   4   2   15   2             4   4   2   13   4
       + 22*m1 *m2 *n1 *n2  *n3 *r496 + 40*m1 *m2 *n1 *n2  *n3 *r496

           3   5   17   2             3   5   15   4
       + m1 *m2 *n1  *n2 *r496 - 18*m1 *m2 *n1  *n2 *r496

              3   5   15   2   2             3   5   13   6
       + 12*m1 *m2 *n1  *n2 *n3 *r496 + 20*m1 *m2 *n1  *n2 *r496

               3   5   13   4   2             3   5   13   2   4
       - 100*m1 *m2 *n1  *n2 *n3 *r496 + 20*m1 *m2 *n1  *n2 *n3 *r496

              3   5   11   8             3   5   11   6   2
       + 94*m1 *m2 *n1  *n2 *r496 + 18*m1 *m2 *n1  *n2 *n3 *r496

               3   5   11   4   4             3   5   9   10
       - 120*m1 *m2 *n1  *n2 *n3 *r496 - 10*m1 *m2 *n1 *n2  *r496

               3   5   9   8   2             3   5   9   6   4
       + 350*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

               3   5   7   12              3   5   7   10   2
       - 104*m1 *m2 *n1 *n2  *r496 + 109*m1 *m2 *n1 *n2  *n3 *r496

               3   5   7   8   4             3   5   5   14
       + 322*m1 *m2 *n1 *n2 *n3 *r496 - 18*m1 *m2 *n1 *n2  *r496

               3   5   5   12   2             3   5   5   10   4
       - 177*m1 *m2 *n1 *n2  *n3 *r496 + 18*m1 *m2 *n1 *n2  *n3 *r496

              3   5   3   16             3   5   3   14   2
       + 20*m1 *m2 *n1 *n2  *r496 - 55*m1 *m2 *n1 *n2  *n3 *r496

               3   5   3   12   4          3   5      18
       - 130*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1*n2  *r496

              3   5      16   2             3   5      14   4
       + 11*m1 *m2 *n1*n2  *n3 *r496 + 14*m1 *m2 *n1*n2  *n3 *r496

             2   6   16   3             2   6   14   5
       + 3*m1 *m2 *n1  *n2 *r496 - 18*m1 *m2 *n1  *n2 *r496

              2   6   14   3   2             2   6   12   7
       + 18*m1 *m2 *n1  *n2 *n3 *r496 - 14*m1 *m2 *n1  *n2 *r496

              2   6   12   5   2             2   6   12   3   4
       - 70*m1 *m2 *n1  *n2 *n3 *r496 + 20*m1 *m2 *n1  *n2 *n3 *r496

              2   6   10   9             2   6   10   7   2
       + 62*m1 *m2 *n1  *n2 *r496 - 73*m1 *m2 *n1  *n2 *n3 *r496

              2   6   10   5   4             2   6   8   11
       - 70*m1 *m2 *n1  *n2 *n3 *r496 + 49*m1 *m2 *n1 *n2  *r496

               2   6   8   9   2             2   6   8   7   4
       + 175*m1 *m2 *n1 *n2 *n3 *r496 - 44*m1 *m2 *n1 *n2 *n3 *r496

              2   6   6   13              2   6   6   11   2
       - 32*m1 *m2 *n1 *n2  *r496 + 163*m1 *m2 *n1 *n2  *n3 *r496

               2   6   6   9   4             2   6   4   15
       + 154*m1 *m2 *n1 *n2 *n3 *r496 - 22*m1 *m2 *n1 *n2  *r496

              2   6   4   13   2             2   6   4   11   4
       - 31*m1 *m2 *n1 *n2  *n3 *r496 + 62*m1 *m2 *n1 *n2  *n3 *r496

             2   6   2   17             2   6   2   15   2
       + 4*m1 *m2 *n1 *n2  *r496 - 32*m1 *m2 *n1 *n2  *n3 *r496

              2   6   2   13   4            2   6   17   2
       - 44*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n2  *n3 *r496

             2   6   15   4               7   15   4
       + 2*m1 *m2 *n2  *n3 *r496 + 3*m1*m2 *n1  *n2 *r496

                7   13   6                7   13   4   2
       - 6*m1*m2 *n1  *n2 *r496 + 12*m1*m2 *n1  *n2 *n3 *r496

                 7   11   8                7   11   6   2
       - 17*m1*m2 *n1  *n2 *r496 - 20*m1*m2 *n1  *n2 *n3 *r496

                 7   11   4   4                7   9   10
       + 10*m1*m2 *n1  *n2 *n3 *r496 + 10*m1*m2 *n1 *n2  *r496

                 7   9   8   2                7   9   6   4
       - 53*m1*m2 *n1 *n2 *n3 *r496 - 20*m1*m2 *n1 *n2 *n3 *r496

                 7   7   12                7   7   10   2
       + 27*m1*m2 *n1 *n2  *r496 + 27*m1*m2 *n1 *n2  *n3 *r496

                 7   7   8   4               7   5   14
       - 30*m1*m2 *n1 *n2 *n3 *r496 + 4*m1*m2 *n1 *n2  *r496

                 7   5   12   2                7   5   10   4
       + 67*m1*m2 *n1 *n2  *n3 *r496 + 34*m1*m2 *n1 *n2  *n3 *r496

                7   3   16                7   3   14   2
       - 5*m1*m2 *n1 *n2  *r496 + 13*m1*m2 *n1 *n2  *n3 *r496

                 7   3   12   4               7      16   2
       + 28*m1*m2 *n1 *n2  *n3 *r496 - 6*m1*m2 *n1*n2  *n3 *r496

                7      14   4          8   14   5            8   12   5   2
       - 6*m1*m2 *n1*n2  *n3 *r496 + m2 *n1  *n2 *r496 + 3*m2 *n1  *n2 *n3 *r496

             8   10   9          8   10   7   2            8   10   5   4
       - 4*m2 *n1  *n2 *r496 - m2 *n1  *n2 *n3 *r496 + 2*m2 *n1  *n2 *n3 *r496

             8   8   11             8   8   9   2            8   8   7   4
       - 2*m2 *n1 *n2  *r496 - 11*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2 *n3 *r496

             8   6   13            8   6   11   2            8   6   9   4
       + 3*m2 *n1 *n2  *r496 - 3*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1 *n2 *n3 *r496

             8   4   15            8   4   13   2            8   4   11   4
       + 2*m2 *n1 *n2  *r496 + 8*m2 *n1 *n2  *n3 *r496 + 2*m2 *n1 *n2  *n3 *r496

             8   2   15   2            8   2   13   4
       + 4*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2  *n3 *r496)/(

           8   11   5   2           8   11   3   4           8   9   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 4*a33*m1 *n1 *n2 *n3

              8   9   5   4           8   7   9   2           8   7   7   4
    - 8*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              8   5   11   2           8   5   9   4           7      12   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1  *n2

               7      12   4   2            7      12   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

              7      10   8            7      10   6   2
    + 8*a33*m1 *m2*n1  *n2  - 16*a33*m1 *m2*n1  *n2 *n3

               7      10   4   4            7      8   8   2
    - 16*a33*m1 *m2*n1  *n2 *n3  + 32*a33*m1 *m2*n1 *n2 *n3

               7      8   6   4           7      6   12
    - 64*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               7      6   10   2            7      6   8   4
    + 16*a33*m1 *m2*n1 *n2  *n3  + 16*a33*m1 *m2*n1 *n2 *n3

              7      4   14           7      4   12   2
    - 4*a33*m1 *m2*n1 *n2   - 8*a33*m1 *m2*n1 *n2  *n3

               7      4   10   4            6   2   13   5
    + 40*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               6   2   13   3   2            6   2   13      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               6   2   11   7            6   2   11   5   2
    - 20*a33*m1 *m2 *n1  *n2  - 24*a33*m1 *m2 *n1  *n2 *n3

               6   2   11   3   4            6   2   9   9
    + 96*a33*m1 *m2 *n1  *n2 *n3  + 24*a33*m1 *m2 *n1 *n2

                6   2   9   7   2            6   2   9   5   4
    - 128*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               6   2   7   11            6   2   7   9   2
    + 32*a33*m1 *m2 *n1 *n2   + 16*a33*m1 *m2 *n1 *n2 *n3

                6   2   7   7   4           6   2   5   13
    - 176*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               6   2   5   11   2            6   2   5   9   4
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

               6   2   3   15           6   2   3   13   2
    - 12*a33*m1 *m2 *n1 *n2   + 8*a33*m1 *m2 *n1 *n2  *n3

               6   2   3   11   4            5   3   14   4
    + 80*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2

               5   3   14   2   2           5   3   14   4
    - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                5   3   12   4   2             5   3   12   2   4
    + 128*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

               5   3   10   8             5   3   10   6   2
    - 84*a33*m1 *m2 *n1  *n2  + 160*a33*m1 *m2 *n1  *n2 *n3

                5   3   10   4   4            5   3   8   10
    + 112*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1 *n2

                5   3   8   8   2             5   3   8   6   4
    - 208*a33*m1 *m2 *n1 *n2 *n3  + 272*a33*m1 *m2 *n1 *n2 *n3

               5   3   6   12             5   3   6   10   2
    + 72*a33*m1 *m2 *n1 *n2   - 152*a33*m1 *m2 *n1 *n2  *n3

                5   3   6   8   4            5   3   4   14
    - 200*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2

               5   3   4   12   2             5   3   4   10   4
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 160*a33*m1 *m2 *n1 *n2  *n3

               5   3   2   16            5   3   2   14   2
    - 12*a33*m1 *m2 *n1 *n2   + 32*a33*m1 *m2 *n1 *n2  *n3

               5   3   2   12   4            4   4   15   3
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               4   4   15      2            4   4   13   5
    + 12*a33*m1 *m2 *n1  *n2*n3  + 40*a33*m1 *m2 *n1  *n2

                4   4   13   3   2            4   4   13      4
    - 140*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2*n3

               4   4   11   7            4   4   11   5   2
    + 96*a33*m1 *m2 *n1  *n2  + 28*a33*m1 *m2 *n1  *n2 *n3

                4   4   11   3   4            4   4   9   9
    - 200*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1 *n2

                4   4   9   7   2            4   4   9   5   4
    + 380*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

                4   4   7   11            4   4   7   9   2
    - 120*a33*m1 *m2 *n1 *n2   - 20*a33*m1 *m2 *n1 *n2 *n3

                4   4   7   7   4            4   4   5   13
    + 400*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2

                4   4   5   11   2            4   4   5   9   4
    - 268*a33*m1 *m2 *n1 *n2  *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

               4   4   3   15            4   4   3   13   2
    + 40*a33*m1 *m2 *n1 *n2   - 20*a33*m1 *m2 *n1 *n2  *n3

                4   4   3   11   4           4   4      17
    - 200*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2

               4   4      15   2            4   4      13   4
    + 28*a33*m1 *m2 *n1*n2  *n3  + 40*a33*m1 *m2 *n1*n2  *n3

              3   5   16   2            3   5   14   4
    + 4*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2

               3   5   14   2   2            3   5   12   6
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2

                3   5   12   4   2            3   5   12   2   4
    - 160*a33*m1 *m2 *n1  *n2 *n3  + 80*a33*m1 *m2 *n1  *n2 *n3

                3   5   10   8             3   5   10   6   2
    + 120*a33*m1 *m2 *n1  *n2  - 208*a33*m1 *m2 *n1  *n2 *n3

                3   5   10   4   4            3   5   8   10
    - 160*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1 *n2

                3   5   8   8   2             3   5   8   6   4
    + 280*a33*m1 *m2 *n1 *n2 *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

               3   5   6   12             3   5   6   10   2
    - 96*a33*m1 *m2 *n1 *n2   + 224*a33*m1 *m2 *n1 *n2  *n3

                3   5   6   8   4            3   5   4   14
    + 272*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2

                3   5   4   12   2             3   5   4   10   4
    - 128*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

               3   5   2   16            3   5   2   14   2
    + 16*a33*m1 *m2 *n1 *n2   - 64*a33*m1 *m2 *n1 *n2  *n3

                3   5   2   12   4           3   5   16   2
    - 112*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   5   14   4            2   6   15   3            2   6   13   5
    + 8*a33*m1 *m2 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2  - 24*a33*m1 *m2 *n1  *n2

               2   6   13   3   2            2   6   11   7
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2

               2   6   11   5   2            2   6   11   3   4
    - 40*a33*m1 *m2 *n1  *n2 *n3  + 80*a33*m1 *m2 *n1  *n2 *n3

               2   6   9   9             2   6   9   7   2
    + 24*a33*m1 *m2 *n1 *n2  - 232*a33*m1 *m2 *n1 *n2 *n3

               2   6   9   5   4            2   6   7   11
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 84*a33*m1 *m2 *n1 *n2

               2   6   7   9   2             2   6   7   7   4
    + 16*a33*m1 *m2 *n1 *n2 *n3  - 176*a33*m1 *m2 *n1 *n2 *n3

                2   6   5   11   2            2   6   5   9   4
    + 184*a33*m1 *m2 *n1 *n2  *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   6   3   15            2   6   3   13   2
    - 24*a33*m1 *m2 *n1 *n2   + 24*a33*m1 *m2 *n1 *n2  *n3

               2   6   3   11   4            2   6      15   2
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

               2   6      13   4               7   14   4
    - 24*a33*m1 *m2 *n1*n2  *n3  + 12*a33*m1*m2 *n1  *n2

                 7   12   6               7   12   4   2
    + 8*a33*m1*m2 *n1  *n2  + 48*a33*m1*m2 *n1  *n2 *n3

                  7   10   8               7   10   6   2
    - 32*a33*m1*m2 *n1  *n2  + 40*a33*m1*m2 *n1  *n2 *n3

                  7   10   4   4               7   8   10
    + 40*a33*m1*m2 *n1  *n2 *n3  - 24*a33*m1*m2 *n1 *n2

                  7   8   8   2               7   8   6   4
    - 80*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                  7   6   12               7   6   10   2
    + 20*a33*m1*m2 *n1 *n2   - 64*a33*m1*m2 *n1 *n2  *n3

                  7   6   8   4               7   4   14
    - 64*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2

                  7   4   12   2               7   4   10   4
    + 32*a33*m1*m2 *n1 *n2  *n3  - 16*a33*m1*m2 *n1 *n2  *n3

                  7   2   14   2               7   2   12   4
    + 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

              8   13   5           8   11   7            8   11   5   2
    + 4*a33*m2 *n1  *n2  + 8*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2 *n3

               8   9   7   2           8   9   5   4           8   7   11
    + 20*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2

              8   7   9   2           8   7   7   4           8   5   13
    - 4*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3  - 4*a33*m2 *n1 *n2

               8   5   11   2           8   5   9   4           8   3   13   2
    - 20*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2  *n3

              8   3   11   4
    - 8*a33*m2 *n1 *n2  *n3 )


           2   9   11   5   2             2   9   11   3   4
r318=(4*a33 *m1 *n1  *n2 *n3 *r214 - 8*a33 *m1 *n1  *n2 *n3 *r214

              2   9   9   7   2             2   9   9   5   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   9   7   9   2             2   9   7   7   4
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   9   5   11   2             2   9   5   9   4
       - 4*a33 *m1 *n1 *n2  *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   8      12   6              2   8      12   4   2
       + 4*a33 *m1 *m2*n1  *n2 *r214 - 24*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   8      12   2   4             2   8      10   8
       + 24*a33 *m1 *m2*n1  *n2 *n3 *r214 + 8*a33 *m1 *m2*n1  *n2 *r214

              2   8      10   6   2              2   8      10   4   4
       - 8*a33 *m1 *m2*n1  *n2 *n3 *r214 - 32*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   8      8   8   2              2   8      8   6   4
       + 48*a33 *m1 *m2*n1 *n2 *n3 *r214 - 96*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   8      6   12              2   8      6   10   2
       - 8*a33 *m1 *m2*n1 *n2  *r214 + 24*a33 *m1 *m2*n1 *n2  *n3 *r214

              2   8      4   14             2   8      4   12   2
       - 4*a33 *m1 *m2*n1 *n2  *r214 - 8*a33 *m1 *m2*n1 *n2  *n3 *r214

               2   8      4   10   4             2   8   13   4   2
       + 40*a33 *m1 *m2*n1 *n2  *n3 *r214 + 2*a33 *m1 *n1  *n2 *n3 *r216

              2   8   13   2   4             2   8   11   6   2
       - 4*a33 *m1 *n1  *n2 *n3 *r216 + 4*a33 *m1 *n1  *n2 *n3 *r216

              2   8   11   4   4             2   8   7   10   2
       - 8*a33 *m1 *n1  *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2  *n3 *r216

              2   8   7   8   4             2   8   5   12   2
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2  *n3 *r216

              2   8   5   10   4              2   7   2   13   5
       + 4*a33 *m1 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   7   2   13   3   2              2   7   2   13      4
       + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   2   11   7              2   7   2   11   5   2
       - 12*a33 *m1 *m2 *n1  *n2 *r214 - 72*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   2   11   3   4              2   7   2   9   9
       + 144*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 48*a33 *m1 *m2 *n1 *n2 *r214

                2   7   2   9   7   2              2   7   2   9   5   4
       - 208*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   2   7   11               2   7   2   7   7   4
       + 56*a33 *m1 *m2 *n1 *n2  *r214 - 288*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   2   5   11   2               2   7   2   5   9   4
       + 96*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   2   3   15             2   7   2   3   13   2
       - 12*a33 *m1 *m2 *n1 *n2  *r214 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   2   3   11   4             2   7      14   5
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 2*a33 *m1 *m2*n1  *n2 *r216

               2   7      14   3   2             2   7      14      4
       - 10*a33 *m1 *m2*n1  *n2 *n3 *r216 + 8*a33 *m1 *m2*n1  *n2*n3 *r216

              2   7      12   7              2   7      12   5   2
       + 6*a33 *m1 *m2*n1  *n2 *r216 - 12*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   7      12   3   4             2   7      10   9
       - 12*a33 *m1 *m2*n1  *n2 *n3 *r216 + 4*a33 *m1 *m2*n1  *n2 *r216

               2   7      10   7   2              2   7      10   5   4
       + 20*a33 *m1 *m2*n1  *n2 *n3 *r216 - 64*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   7      8   11              2   7      8   9   2
       - 4*a33 *m1 *m2*n1 *n2  *r216 + 32*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   7      8   7   4             2   7      6   13
       - 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2  *r216

              2   7      6   11   2              2   7      6   9   4
       + 6*a33 *m1 *m2*n1 *n2  *n3 *r216 + 24*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   7      4   15             2   7      4   13   2
       - 2*a33 *m1 *m2*n1 *n2  *r216 - 4*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   7      4   11   4              2   6   3   14   4
       + 20*a33 *m1 *m2*n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1  *n2 *r214

               2   6   3   14   2   2             2   6   3   14   4
       - 40*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1  *n3 *r214

               2   6   3   12   6               2   6   3   12   4   2
       - 32*a33 *m1 *m2 *n1  *n2 *r214 + 224*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   3   12   2   4               2   6   3   10   8
       - 160*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 156*a33 *m1 *m2 *n1  *n2 *r214

                2   6   3   10   6   2               2   6   3   10   4   4
       + 208*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 256*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   3   8   10               2   6   3   8   8   2
       - 48*a33 *m1 *m2 *n1 *n2  *r214 - 416*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   3   8   6   4               2   6   3   6   12
       + 544*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2  *r214

                2   6   3   6   10   2               2   6   3   6   8   4
       - 328*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 280*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   3   4   14              2   6   3   4   12   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 64*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   3   4   10   4              2   6   3   2   16
       - 320*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   6   3   2   14   2              2   6   3   2   12   4
       + 32*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   6   2   15   4              2   6   2   15   2   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 14*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   6   2   15   4             2   6   2   13   6
       - 4*a33 *m1 *m2 *n1  *n3 *r216 - 8*a33 *m1 *m2 *n1  *n2 *r216

               2   6   2   13   4   2              2   6   2   13   2   4
       - 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 48*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   2   11   8               2   6   2   11   6   2
       + 22*a33 *m1 *m2 *n1  *n2 *r216 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   2   11   4   4              2   6   2   9   10
       + 48*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 48*a33 *m1 *m2 *n1 *n2  *r216

               2   6   2   9   8   2               2   6   2   9   6   4
       - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   2   7   12              2   6   2   7   10   2
       + 22*a33 *m1 *m2 *n1 *n2  *r216 + 54*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   2   7   8   4             2   6   2   5   14
       - 180*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

               2   6   2   5   12   2             2   6   2   3   16
       + 48*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

              2   6   2   3   14   2              2   6   2   3   12   4
       + 4*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   4   15   3              2   5   4   15      2
       - 16*a33 *m1 *m2 *n1  *n2 *r214 + 12*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   4   13   5               2   5   4   13   3   2
       + 88*a33 *m1 *m2 *n1  *n2 *r214 - 220*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   4   13      4               2   5   4   11   7
       + 56*a33 *m1 *m2 *n1  *n2*n3 *r214 + 144*a33 *m1 *m2 *n1  *n2 *r214

                2   5   4   11   5   2               2   5   4   11   3   4
       + 204*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 408*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   4   9   9               2   5   4   9   7   2
       - 180*a33 *m1 *m2 *n1 *n2 *r214 + 876*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   4   9   5   4               2   5   4   7   11
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 288*a33 *m1 *m2 *n1 *n2  *r214

               2   5   4   7   9   2               2   5   4   7   7   4
       + 60*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 960*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   4   5   11   2               2   5   4   5   9   4
       - 492*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   4   3   15              2   5   4   3   13   2
       + 64*a33 *m1 *m2 *n1 *n2  *r214 - 84*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   4   3   11   4             2   5   4      17
       - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   5   4      15   2              2   5   4      13   4
       + 28*a33 *m1 *m2 *n1*n2  *n3 *r214 + 40*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   5   3   16   3             2   5   3   16      2
       + 6*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   5   3   14   5              2   5   3   14   3   2
       - 12*a33 *m1 *m2 *n1  *n2 *r216 + 68*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   3   14      4              2   5   3   12   7
       - 28*a33 *m1 *m2 *n1  *n2*n3 *r216 - 72*a33 *m1 *m2 *n1  *n2 *r216

               2   5   3   12   5   2              2   5   3   12   3   4
       + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   3   10   9               2   5   3   10   7   2
       - 54*a33 *m1 *m2 *n1  *n2 *r216 - 176*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   3   10   5   4              2   5   3   8   11
       + 256*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 54*a33 *m1 *m2 *n1 *n2  *r216

                2   5   3   8   9   2              2   5   3   8   7   4
       - 318*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   3   6   13              2   5   3   6   11   2
       + 72*a33 *m1 *m2 *n1 *n2  *r216 - 84*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   3   6   9   4              2   5   3   4   15
       - 300*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2  *r216

               2   5   3   4   13   2              2   5   3   4   11   4
       + 52*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   3   2   17              2   5   3   2   15   2
       - 6*a33 *m1 *m2 *n1 *n2  *r216 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   3   2   13   4             2   4   5   16   2
       + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   4   5   14   4              2   4   5   14   2   2
       - 72*a33 *m1 *m2 *n1  *n2 *r214 + 72*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   4   5   12   6               2   4   5   12   4   2
       + 24*a33 *m1 *m2 *n1  *n2 *r214 - 416*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   5   12   2   4               2   4   5   10   8
       + 160*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 360*a33 *m1 *m2 *n1  *n2 *r214

                2   4   5   10   6   2               2   4   5   10   4   4
       - 408*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 480*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   5   8   10               2   4   5   8   8   2
       + 180*a33 *m1 *m2 *n1 *n2  *r214 + 840*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   5   8   6   4               2   4   5   6   12
       - 600*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 216*a33 *m1 *m2 *n1 *n2  *r214

                2   4   5   6   10   2               2   4   5   6   8   4
       + 744*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 672*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   5   4   14               2   4   5   4   12   2
       - 112*a33 *m1 *m2 *n1 *n2  *r214 - 144*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   5   4   10   4              2   4   5   2   16
       + 432*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *r214

                2   4   5   2   14   2               2   4   5   2   12   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   4   5   16   2             2   4   5   14   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

              2   4   4   17   2              2   4   4   15   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 24*a33 *m1 *m2 *n1  *n2 *r216

               2   4   4   15   2   2              2   4   4   13   6
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 44*a33 *m1 *m2 *n1  *n2 *r216

               2   4   4   13   4   2              2   4   4   13   2   4
       + 88*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 80*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   4   11   8               2   4   4   11   6   2
       - 72*a33 *m1 *m2 *n1  *n2 *r216 + 364*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   4   11   4   4               2   4   4   9   10
       + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 180*a33 *m1 *m2 *n1 *n2  *r216

                2   4   4   9   8   2               2   4   4   9   6   4
       + 150*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 420*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   4   7   12               2   4   4   7   10   2
       - 72*a33 *m1 *m2 *n1 *n2  *r216 - 300*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   4   7   8   4              2   4   4   5   14
       + 240*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 44*a33 *m1 *m2 *n1 *n2  *r216

                2   4   4   5   12   2               2   4   4   5   10   4
       - 236*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 200*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   4   3   16              2   4   4   3   14   2
       + 24*a33 *m1 *m2 *n1 *n2  *r216 - 12*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   4   3   12   4             2   4   4      18
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *r216

               2   4   4      16   2              2   4   4      14   4
       + 14*a33 *m1 *m2 *n1*n2  *n3 *r216 + 20*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   6   15   3              2   3   6   13   5
       + 20*a33 *m1 *m2 *n1  *n2 *r214 - 96*a33 *m1 *m2 *n1  *n2 *r214

                2   3   6   13   3   2               2   3   6   11   7
       + 168*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 192*a33 *m1 *m2 *n1  *n2 *r214

                2   3   6   11   5   2               2   3   6   11   3   4
       - 264*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   6   9   9               2   3   6   9   7   2
       + 144*a33 *m1 *m2 *n1 *n2 *r214 - 872*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   6   9   5   4               2   3   6   7   11
       - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 324*a33 *m1 *m2 *n1 *n2  *r214

               2   3   6   7   9   2               2   3   6   7   7   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 736*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   6   5   13               2   3   6   5   11   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 552*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   6   5   9   4              2   3   6   3   15
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2  *r214

                2   3   6   3   13   2               2   3   6   3   11   4
       + 136*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 304*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   6      15   2              2   3   6      13   4
       - 40*a33 *m1 *m2 *n1*n2  *n3 *r214 - 40*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   3   5   16   3              2   3   5   14   5
       - 10*a33 *m1 *m2 *n1  *n2 *r216 + 20*a33 *m1 *m2 *n1  *n2 *r216

               2   3   5   14   3   2               2   3   5   12   7
       - 84*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 120*a33 *m1 *m2 *n1  *n2 *r216

               2   3   5   12   5   2               2   3   5   12   3   4
       - 48*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   5   10   9               2   3   5   10   7   2
       + 90*a33 *m1 *m2 *n1  *n2 *r216 + 366*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   3   5   10   5   4              2   3   5   8   11
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 90*a33 *m1 *m2 *n1 *n2  *r216

                2   3   5   8   9   2               2   3   5   8   7   4
       + 492*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 276*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   5   6   13              2   3   5   6   11   2
       - 120*a33 *m1 *m2 *n1 *n2  *r216 + 64*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   5   6   9   4              2   3   5   4   15
       + 352*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 20*a33 *m1 *m2 *n1 *n2  *r216

                2   3   5   4   13   2              2   3   5   2   17
       - 144*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 10*a33 *m1 *m2 *n1 *n2  *r216

               2   3   5   2   15   2              2   3   5   2   13   4
       - 42*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   5   17   2             2   3   5   15   4
       + 4*a33 *m1 *m2 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

               2   2   7   14   4              2   2   7   12   6
       + 36*a33 *m1 *m2 *n1  *n2 *r214 - 16*a33 *m1 *m2 *n1  *n2 *r214

                2   2   7   12   4   2               2   2   7   10   8
       + 192*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 200*a33 *m1 *m2 *n1  *n2 *r214

                2   2   7   10   6   2               2   2   7   10   4   4
       + 104*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 200*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   7   8   10               2   2   7   8   8   2
       - 144*a33 *m1 *m2 *n1 *n2  *r214 - 480*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   7   8   6   4              2   2   7   6   12
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 68*a33 *m1 *m2 *n1 *n2  *r214

                2   2   7   6   10   2               2   2   7   6   8   4
       - 432*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 336*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   7   4   14              2   2   7   4   12   2
       + 64*a33 *m1 *m2 *n1 *n2  *r214 + 32*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   2   7   4   10   4              2   2   7   2   14   2
       - 160*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 72*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   7   2   12   4              2   2   6   15   4
       + 72*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 18*a33 *m1 *m2 *n1  *n2 *r216

               2   2   6   13   6              2   2   6   13   4   2
       - 24*a33 *m1 *m2 *n1  *n2 *r216 - 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   6   11   8               2   2   6   11   6   2
       + 66*a33 *m1 *m2 *n1  *n2 *r216 - 202*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   2   6   11   4   4               2   2   6   9   10
       - 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 144*a33 *m1 *m2 *n1 *n2  *r216

               2   2   6   9   8   2               2   2   6   9   6   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 192*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   6   7   12               2   2   6   7   10   2
       + 66*a33 *m1 *m2 *n1 *n2  *r216 + 308*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   6   7   8   4              2   2   6   5   14
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2  *r216

                2   2   6   5   12   2               2   2   6   5   10   4
       + 200*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 176*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   6   3   16             2   2   6   3   14   2
       - 18*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   6   3   12   4              2   2   6      16   2
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   6      14   4              2      8   13   5
       - 16*a33 *m1 *m2 *n1*n2  *n3 *r216 + 28*a33 *m1*m2 *n1  *n2 *r214

               2      8   11   7               2      8   11   5   2
       + 48*a33 *m1*m2 *n1  *n2 *r214 + 108*a33 *m1*m2 *n1  *n2 *n3 *r214

               2      8   9   9               2      8   9   7   2
       - 24*a33 *m1*m2 *n1 *n2 *r214 + 196*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      8   9   5   4              2      8   7   11
       + 88*a33 *m1*m2 *n1 *n2 *n3 *r214 - 80*a33 *m1*m2 *n1 *n2  *r214

               2      8   7   9   2               2      8   7   7   4
       + 12*a33 *m1*m2 *n1 *n2 *n3 *r214 + 120*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      8   5   13               2      8   5   11   2
       - 36*a33 *m1*m2 *n1 *n2  *r214 - 132*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   5   9   4              2      8   3   13   2
       - 24*a33 *m1*m2 *n1 *n2 *n3 *r214 - 56*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   3   11   4              2      7   14   5
       - 56*a33 *m1*m2 *n1 *n2  *n3 *r214 - 14*a33 *m1*m2 *n1  *n2 *r216

               2      7   12   7              2      7   12   5   2
       - 42*a33 *m1*m2 *n1  *n2 *r216 - 54*a33 *m1*m2 *n1  *n2 *n3 *r216

               2      7   10   9               2      7   10   7   2
       - 28*a33 *m1*m2 *n1  *n2 *r216 - 164*a33 *m1*m2 *n1  *n2 *n3 *r216

               2      7   10   5   4              2      7   8   11
       - 44*a33 *m1*m2 *n1  *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2  *r216

                2      7   8   9   2               2      7   8   7   4
       - 148*a33 *m1*m2 *n1 *n2 *n3 *r216 - 112*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      7   6   13              2      7   6   9   4
       + 42*a33 *m1*m2 *n1 *n2  *r216 - 72*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      7   4   15              2      7   4   13   2
       + 14*a33 *m1*m2 *n1 *n2  *r216 + 58*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      7   4   11   4              2      7   2   15   2
       + 16*a33 *m1*m2 *n1 *n2  *n3 *r216 + 20*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      7   2   13   4             2   9   12   6
       + 20*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m2 *n1  *n2 *r214

               2   9   10   8              2   9   10   6   2
       + 24*a33 *m2 *n1  *n2 *r214 + 24*a33 *m2 *n1  *n2 *n3 *r214

               2   9   8   10              2   9   8   8   2
       + 24*a33 *m2 *n1 *n2  *r214 + 64*a33 *m2 *n1 *n2 *n3 *r214

               2   9   8   6   4             2   9   6   12
       + 16*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2  *r214

               2   9   6   10   2              2   9   6   8   4
       + 56*a33 *m2 *n1 *n2  *n3 *r214 + 32*a33 *m2 *n1 *n2 *n3 *r214

               2   9   4   12   2              2   9   4   10   4
       + 16*a33 *m2 *n1 *n2  *n3 *r214 + 16*a33 *m2 *n1 *n2  *n3 *r214

              2   8   13   6              2   8   11   8
       - 4*a33 *m2 *n1  *n2 *r216 - 16*a33 *m2 *n1  *n2 *r216

               2   8   11   6   2              2   8   9   10
       - 12*a33 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m2 *n1 *n2  *r216

               2   8   9   8   2             2   8   9   6   4
       - 44*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

               2   8   7   12              2   8   7   10   2
       - 16*a33 *m2 *n1 *n2  *r216 - 60*a33 *m2 *n1 *n2  *n3 *r216

               2   8   7   8   4             2   8   5   14
       - 24*a33 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2  *r216

               2   8   5   12   2              2   8   5   10   4
       - 36*a33 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m2 *n1 *n2  *n3 *r216

              2   8   3   14   2             2   8   3   12   4
       - 8*a33 *m2 *n1 *n2  *n3 *r216 - 8*a33 *m2 *n1 *n2  *n3 *r216

             8   15   4   2            8   15   2   4
       + 2*m1 *n1  *n2 *n3 *r496 - 4*m1 *n1  *n2 *n3 *r496

             8   13   6   2            8   13   4   4
       + 3*m1 *n1  *n2 *n3 *r496 - 6*m1 *n1  *n2 *n3 *r496

             8   11   8   2            8   11   6   4
       - 2*m1 *n1  *n2 *n3 *r496 + 4*m1 *n1  *n2 *n3 *r496

             8   9   10   2            8   9   8   4
       - 4*m1 *n1 *n2  *n3 *r496 + 8*m1 *n1 *n2 *n3 *r496

           8   5   14   2            8   5   12   4
       + m1 *n1 *n2  *n3 *r496 - 2*m1 *n1 *n2  *n3 *r496

             7      16   5            7      16   3   2
       + 2*m1 *m2*n1  *n2 *r496 - 9*m1 *m2*n1  *n2 *n3 *r496

             7      16      4            7      14   7
       + 6*m1 *m2*n1  *n2*n3 *r496 + 5*m1 *m2*n1  *n2 *r496

             7      14   5   2             7      14   3   4
       - 4*m1 *m2*n1  *n2 *n3 *r496 - 22*m1 *m2*n1  *n2 *n3 *r496

           7      12   9             7      12   7   2
       + m1 *m2*n1  *n2 *r496 + 28*m1 *m2*n1  *n2 *n3 *r496

              7      12   5   4            7      10   11
       - 62*m1 *m2*n1  *n2 *n3 *r496 - 6*m1 *m2*n1  *n2  *r496

              7      10   9   2            7      10   7   4
       + 20*m1 *m2*n1  *n2 *n3 *r496 - 4*m1 *m2*n1  *n2 *n3 *r496

             7      8   13             7      8   11   2
       - 4*m1 *m2*n1 *n2  *r496 - 13*m1 *m2*n1 *n2  *n3 *r496

              7      8   9   4          7      6   15
       + 50*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

             7      6   13   2             7      6   11   4
       - 8*m1 *m2*n1 *n2  *n3 *r496 + 10*m1 *m2*n1 *n2  *n3 *r496

           7      4   17            7      4   15   2
       + m1 *m2*n1 *n2  *r496 + 2*m1 *m2*n1 *n2  *n3 *r496

              7      4   13   4            6   2   17   4
       - 10*m1 *m2*n1 *n2  *n3 *r496 - 5*m1 *m2 *n1  *n2 *r496

              6   2   17   2   2            6   2   17   4
       + 10*m1 *m2 *n1  *n2 *n3 *r496 - 2*m1 *m2 *n1  *n3 *r496

           6   2   15   6             6   2   15   4   2
       - m1 *m2 *n1  *n2 *r496 - 39*m1 *m2 *n1  *n2 *n3 *r496

              6   2   15   2   4             6   2   13   8
       + 42*m1 *m2 *n1  *n2 *n3 *r496 + 31*m1 *m2 *n1  *n2 *r496

               6   2   13   6   2             6   2   13   4   4
       - 102*m1 *m2 *n1  *n2 *n3 *r496 - 18*m1 *m2 *n1  *n2 *n3 *r496

              6   2   11   10             6   2   11   8   2
       + 37*m1 *m2 *n1  *n2  *r496 + 12*m1 *m2 *n1  *n2 *n3 *r496

               6   2   11   6   4            6   2   9   12
       - 216*m1 *m2 *n1  *n2 *n3 *r496 - 7*m1 *m2 *n1 *n2  *r496

               6   2   9   10   2              6   2   9   8   4
       + 106*m1 *m2 *n1 *n2  *n3 *r496 - 110*m1 *m2 *n1 *n2 *n3 *r496

              6   2   7   14             6   2   7   12   2
       - 23*m1 *m2 *n1 *n2  *r496 + 21*m1 *m2 *n1 *n2  *n3 *r496

               6   2   7   10   4            6   2   5   16
       + 114*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

              6   2   5   14   2             6   2   5   12   4
       - 22*m1 *m2 *n1 *n2  *n3 *r496 + 50*m1 *m2 *n1 *n2  *n3 *r496

             6   2   3   18            6   2   3   16   2
       + 3*m1 *m2 *n1 *n2  *r496 - 2*m1 *m2 *n1 *n2  *n3 *r496

              6   2   3   14   4            5   3   18   3
       - 20*m1 *m2 *n1 *n2  *n3 *r496 + 4*m1 *m2 *n1  *n2 *r496

             5   3   18      2             5   3   16   5
       - 3*m1 *m2 *n1  *n2*n3 *r496 - 18*m1 *m2 *n1  *n2 *r496

              5   3   16   3   2             5   3   16      4
       + 58*m1 *m2 *n1  *n2 *n3 *r496 - 14*m1 *m2 *n1  *n2*n3 *r496

              5   3   14   7            5   3   14   5   2
       - 54*m1 *m2 *n1  *n2 *r496 - 4*m1 *m2 *n1  *n2 *n3 *r496

               5   3   14   3   4             5   3   12   9
       + 116*m1 *m2 *n1  *n2 *n3 *r496 + 17*m1 *m2 *n1  *n2 *r496

               5   3   12   7   2              5   3   12   5   4
       - 296*m1 *m2 *n1  *n2 *n3 *r496 + 112*m1 *m2 *n1  *n2 *n3 *r496

               5   3   10   11              5   3   10   9   2
       + 111*m1 *m2 *n1  *n2  *r496 - 223*m1 *m2 *n1  *n2 *n3 *r496

               5   3   10   7   4             5   3   8   13
       - 340*m1 *m2 *n1  *n2 *n3 *r496 + 48*m1 *m2 *n1 *n2  *r496

               5   3   8   11   2              5   3   8   9   4
       + 126*m1 *m2 *n1 *n2  *n3 *r496 - 342*m1 *m2 *n1 *n2 *n3 *r496

              5   3   6   15              5   3   6   13   2
       - 32*m1 *m2 *n1 *n2  *r496 + 118*m1 *m2 *n1 *n2  *n3 *r496

               5   3   6   11   4             5   3   4   17
       + 100*m1 *m2 *n1 *n2  *n3 *r496 - 15*m1 *m2 *n1 *n2  *r496

             5   3   4   15   2              5   3   4   13   4
       - 8*m1 *m2 *n1 *n2  *n3 *r496 + 100*m1 *m2 *n1 *n2  *n3 *r496

             5   3   2   19            5   3   2   17   2
       + 3*m1 *m2 *n1 *n2  *r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

              5   3   2   15   4          4   4   19   2
       - 20*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1  *n2 *r496

              4   4   17   4             4   4   17   2   2
       + 19*m1 *m2 *n1  *n2 *r496 - 18*m1 *m2 *n1  *n2 *n3 *r496

             4   4   15   6              4   4   15   4   2
       + 2*m1 *m2 *n1  *n2 *r496 + 122*m1 *m2 *n1  *n2 *n3 *r496

              4   4   15   2   4              4   4   13   8
       - 40*m1 *m2 *n1  *n2 *n3 *r496 - 122*m1 *m2 *n1  *n2 *r496

               4   4   13   6   2              4   4   13   4   4
       + 208*m1 *m2 *n1  *n2 *n3 *r496 + 160*m1 *m2 *n1  *n2 *n3 *r496

               4   4   11   10              4   4   11   8   2
       - 114*m1 *m2 *n1  *n2  *r496 - 272*m1 *m2 *n1  *n2 *n3 *r496

               4   4   11   6   4             4   4   9   12
       + 340*m1 *m2 *n1  *n2 *n3 *r496 + 84*m1 *m2 *n1 *n2  *r496

               4   4   9   10   2              4   4   9   8   4
       - 525*m1 *m2 *n1 *n2  *n3 *r496 - 210*m1 *m2 *n1 *n2 *n3 *r496

               4   4   7   14             4   4   7   12   2
       + 114*m1 *m2 *n1 *n2  *r496 - 78*m1 *m2 *n1 *n2  *n3 *r496

               4   4   7   10   4            4   4   5   16
       - 480*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n1 *n2  *r496

               4   4   5   14   2             4   4   5   12   4
       + 142*m1 *m2 *n1 *n2  *n3 *r496 - 20*m1 *m2 *n1 *n2  *n3 *r496

              4   4   3   18             4   4   3   16   2
       - 17*m1 *m2 *n1 *n2  *r496 + 28*m1 *m2 *n1 *n2  *n3 *r496

               4   4   3   14   4          4   4      20
       + 100*m1 *m2 *n1 *n2  *n3 *r496 + m1 *m2 *n1*n2  *r496

             4   4      18   2             4   4      16   4
       - 7*m1 *m2 *n1*n2  *n3 *r496 - 10*m1 *m2 *n1*n2  *n3 *r496

             3   5   18   3             3   5   16   5
       - 5*m1 *m2 *n1  *n2 *r496 + 29*m1 *m2 *n1  *n2 *r496

              3   5   16   3   2             3   5   14   7
       - 42*m1 *m2 *n1  *n2 *n3 *r496 + 68*m1 *m2 *n1  *n2 *r496

               3   5   14   5   2             3   5   14   3   4
       + 108*m1 *m2 *n1  *n2 *n3 *r496 - 60*m1 *m2 *n1  *n2 *n3 *r496

              3   5   12   9              3   5   12   7   2
       - 66*m1 *m2 *n1  *n2 *r496 + 407*m1 *m2 *n1  *n2 *n3 *r496

               3   5   12   5   4              3   5   10   11
       + 110*m1 *m2 *n1  *n2 *n3 *r496 - 195*m1 *m2 *n1  *n2  *r496

              3   5   10   9   2              3   5   10   7   4
       + 84*m1 *m2 *n1  *n2 *n3 *r496 + 426*m1 *m2 *n1  *n2 *n3 *r496

              3   5   8   13              3   5   8   11   2
       - 55*m1 *m2 *n1 *n2  *r496 - 442*m1 *m2 *n1 *n2  *n3 *r496

              3   5   8   9   4             3   5   6   15
       + 74*m1 *m2 *n1 *n2 *n3 *r496 + 74*m1 *m2 *n1 *n2  *r496

               3   5   6   13   2              3   5   6   11   4
       - 264*m1 *m2 *n1 *n2  *n3 *r496 - 336*m1 *m2 *n1 *n2  *n3 *r496

              3   5   4   17             3   5   4   15   2
       + 28*m1 *m2 *n1 *n2  *r496 + 39*m1 *m2 *n1 *n2  *n3 *r496

               3   5   4   13   4            3   5   2   19
       - 102*m1 *m2 *n1 *n2  *n3 *r496 - 6*m1 *m2 *n1 *n2  *r496

              3   5   2   17   2             3   5   2   15   4
       + 32*m1 *m2 *n1 *n2  *n3 *r496 + 50*m1 *m2 *n1 *n2  *n3 *r496

             3   5   19   2            3   5   17   4
       - 2*m1 *m2 *n2  *n3 *r496 - 2*m1 *m2 *n2  *n3 *r496

             2   6   17   4             2   6   15   6
       - 9*m1 *m2 *n1  *n2 *r496 + 13*m1 *m2 *n1  *n2 *r496

              2   6   15   4   2             2   6   13   8
       - 48*m1 *m2 *n1  *n2 *n3 *r496 + 87*m1 *m2 *n1  *n2 *r496

              2   6   13   6   2             2   6   13   4   4
       + 22*m1 *m2 *n1  *n2 *n3 *r496 - 50*m1 *m2 *n1  *n2 *n3 *r496

              2   6   11   10              2   6   11   8   2
       + 51*m1 *m2 *n1  *n2  *r496 + 329*m1 *m2 *n1  *n2 *n3 *r496

              2   6   11   6   4             2   6   9   12
       + 26*m1 *m2 *n1  *n2 *n3 *r496 - 91*m1 *m2 *n1 *n2  *r496

               2   6   9   10   2              2   6   9   8   4
       + 314*m1 *m2 *n1 *n2  *n3 *r496 + 278*m1 *m2 *n1 *n2 *n3 *r496

              2   6   7   14             2   6   7   12   2
       - 93*m1 *m2 *n1 *n2  *r496 - 82*m1 *m2 *n1 *n2  *n3 *r496

               2   6   7   10   4            2   6   5   16
       + 188*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1 *n2  *r496

               2   6   5   14   2             2   6   5   12   4
       - 178*m1 *m2 *n1 *n2  *n3 *r496 - 94*m1 *m2 *n1 *n2  *n3 *r496

              2   6   3   18             2   6   3   16   2
       + 13*m1 *m2 *n1 *n2  *r496 - 31*m1 *m2 *n1 *n2  *n3 *r496

              2   6   3   14   4             2   6      18   2
       - 70*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1*n2  *n3 *r496

              2   6      16   4               7   16   5
       + 10*m1 *m2 *n1*n2  *n3 *r496 - 7*m1*m2 *n1  *n2 *r496

                7   14   7                7   14   5   2
       - 5*m1*m2 *n1  *n2 *r496 - 27*m1*m2 *n1  *n2 *n3 *r496

                 7   12   9                7   12   7   2
       + 38*m1*m2 *n1  *n2 *r496 - 22*m1*m2 *n1  *n2 *n3 *r496

                 7   12   5   4                7   10   11
       - 22*m1*m2 *n1  *n2 *n3 *r496 + 62*m1*m2 *n1  *n2  *r496

                  7   10   9   2               7   10   7   4
       + 118*m1*m2 *n1  *n2 *n3 *r496 - 8*m1*m2 *n1  *n2 *n3 *r496

                 7   8   13                 7   8   11   2
       + 13*m1*m2 *n1 *n2  *r496 + 200*m1*m2 *n1 *n2  *n3 *r496

                 7   8   9   4                7   6   15
       + 92*m1*m2 *n1 *n2 *n3 *r496 - 25*m1*m2 *n1 *n2  *r496

                 7   6   13   2                 7   6   11   4
       + 77*m1*m2 *n1 *n2  *n3 *r496 + 104*m1*m2 *n1 *n2  *n3 *r496

                 7   4   17                7   4   15   2
       - 12*m1*m2 *n1 *n2  *r496 - 26*m1*m2 *n1 *n2  *n3 *r496

                 7   4   13   4                7   2   17   2
       + 10*m1*m2 *n1 *n2  *n3 *r496 - 16*m1*m2 *n1 *n2  *n3 *r496

                 7   2   15   4            8   15   6            8   13   8
       - 16*m1*m2 *n1 *n2  *n3 *r496 - 2*m2 *n1  *n2 *r496 - 4*m2 *n1  *n2 *r496

             8   13   6   2            8   11   10
       - 6*m2 *n1  *n2 *n3 *r496 + 4*m2 *n1  *n2  *r496

              8   11   8   2            8   11   6   4
       - 10*m2 *n1  *n2 *n3 *r496 - 4*m2 *n1  *n2 *n3 *r496

              8   9   12             8   9   10   2
       + 16*m2 *n1 *n2  *r496 + 14*m2 *n1 *n2  *n3 *r496

             8   9   8   4             8   7   14
       - 4*m2 *n1 *n2 *n3 *r496 + 14*m2 *n1 *n2  *r496

              8   7   12   2             8   7   10   4
       + 42*m2 *n1 *n2  *n3 *r496 + 12*m2 *n1 *n2  *n3 *r496

             8   5   16             8   5   14   2
       + 4*m2 *n1 *n2  *r496 + 32*m2 *n1 *n2  *n3 *r496

              8   5   12   4            8   3   16   2
       + 20*m2 *n1 *n2  *n3 *r496 + 8*m2 *n1 *n2  *n3 *r496

             8   3   14   4                8   13   5   2
       + 8*m2 *n1 *n2  *n3 *r496)/(4*a33*m1 *n1  *n2 *n3

              8   13   3   4           8   11   7   2            8   11   5   4
    - 8*a33*m1 *n1  *n2 *n3  + 8*a33*m1 *n1  *n2 *n3  - 16*a33*m1 *n1  *n2 *n3

              8   7   11   2            8   7   9   4           8   5   13   2
    - 8*a33*m1 *n1 *n2  *n3  + 16*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2  *n3

              8   5   11   4           7      14   6
    + 8*a33*m1 *n1 *n2  *n3  + 4*a33*m1 *m2*n1  *n2

               7      14   4   2            7      14   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

               7      12   8            7      12   6   2
    + 12*a33*m1 *m2*n1  *n2  - 40*a33*m1 *m2*n1  *n2 *n3

              7      12   4   4           7      10   10
    + 8*a33*m1 *m2*n1  *n2 *n3  + 8*a33*m1 *m2*n1  *n2

               7      10   8   2            7      10   6   4
    + 16*a33*m1 *m2*n1  *n2 *n3  - 80*a33*m1 *m2*n1  *n2 *n3

              7      8   12            7      8   10   2
    - 8*a33*m1 *m2*n1 *n2   + 48*a33*m1 *m2*n1 *n2  *n3

               7      8   8   4            7      6   14
    - 48*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2*n1 *n2

              7      6   12   2            7      6   10   4
    + 8*a33*m1 *m2*n1 *n2  *n3  + 56*a33*m1 *m2*n1 *n2  *n3

              7      4   16           7      4   14   2
    - 4*a33*m1 *m2*n1 *n2   - 8*a33*m1 *m2*n1 *n2  *n3

               7      4   12   4            6   2   15   5
    + 40*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               6   2   15   3   2            6   2   15      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               6   2   13   7            6   2   13   5   2
    - 36*a33*m1 *m2 *n1  *n2  + 24*a33*m1 *m2 *n1  *n2 *n3

               6   2   13   3   4           6   2   11   9
    + 72*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n2

                6   2   11   7   2             6   2   11   5   4
    - 152*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2 *n3

               6   2   9   11             6   2   9   9   2
    + 56*a33*m1 *m2 *n1 *n2   - 112*a33*m1 *m2 *n1 *n2 *n3

                6   2   9   7   4            6   2   7   13
    - 112*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2

               6   2   7   11   2             6   2   7   9   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 216*a33*m1 *m2 *n1 *n2 *n3

               6   2   5   15            6   2   5   13   2
    - 20*a33*m1 *m2 *n1 *n2   + 88*a33*m1 *m2 *n1 *n2  *n3

               6   2   5   11   4            6   2   3   17
    + 40*a33*m1 *m2 *n1 *n2  *n3  - 12*a33*m1 *m2 *n1 *n2

              6   2   3   15   2            6   2   3   13   4
    + 8*a33*m1 *m2 *n1 *n2  *n3  + 80*a33*m1 *m2 *n1 *n2  *n3

               5   3   16   4            5   3   16   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              5   3   16   4            5   3   14   6
    + 8*a33*m1 *m2 *n1  *n3  + 24*a33*m1 *m2 *n1  *n2

               5   3   14   4   2             5   3   14   2   4
    + 88*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2 *n3

               5   3   12   8             5   3   12   6   2
    - 84*a33*m1 *m2 *n1  *n2  + 288*a33*m1 *m2 *n1  *n2 *n3

                5   3   10   10            5   3   10   8   2
    - 108*a33*m1 *m2 *n1  *n2   - 48*a33*m1 *m2 *n1  *n2 *n3

                5   3   10   6   4            5   3   8   12
    + 384*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1 *n2

                5   3   8   10   2            5   3   8   8   4
    - 360*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2 *n3

               5   3   6   14            5   3   6   12   2
    + 96*a33*m1 *m2 *n1 *n2   - 72*a33*m1 *m2 *n1 *n2  *n3

                5   3   6   10   4            5   3   4   16
    - 360*a33*m1 *m2 *n1 *n2  *n3  + 12*a33*m1 *m2 *n1 *n2

                5   3   4   14   2            5   3   4   12   4
    + 112*a33*m1 *m2 *n1 *n2  *n3  - 80*a33*m1 *m2 *n1 *n2  *n3

               5   3   2   18            5   3   2   16   2
    - 12*a33*m1 *m2 *n1 *n2   + 32*a33*m1 *m2 *n1 *n2  *n3

               5   3   2   14   4            4   4   17   3
    + 80*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               4   4   17      2            4   4   15   5
    + 12*a33*m1 *m2 *n1  *n2*n3  + 24*a33*m1 *m2 *n1  *n2

                4   4   15   3   2            4   4   15      4
    - 128*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2*n3

                4   4   13   7             4   4   13   5   2
    + 136*a33*m1 *m2 *n1  *n2  - 112*a33*m1 *m2 *n1  *n2 *n3

                4   4   13   3   4            4   4   11   9
    - 160*a33*m1 *m2 *n1  *n2 *n3  + 36*a33*m1 *m2 *n1  *n2

                4   4   11   7   2             4   4   11   5   4
    + 408*a33*m1 *m2 *n1  *n2 *n3  - 240*a33*m1 *m2 *n1  *n2 *n3

                4   4   9   11             4   4   9   9   2
    - 180*a33*m1 *m2 *n1 *n2   + 360*a33*m1 *m2 *n1 *n2 *n3

                4   4   9   7   4            4   4   7   13
    + 360*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2

                4   4   7   11   2             4   4   7   9   4
    - 288*a33*m1 *m2 *n1 *n2  *n3  + 360*a33*m1 *m2 *n1 *n2 *n3

               4   4   5   15             4   4   5   13   2
    + 64*a33*m1 *m2 *n1 *n2   - 288*a33*m1 *m2 *n1 *n2  *n3

                4   4   5   11   4            4   4   3   17
    - 240*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2

              4   4   3   15   2             4   4   3   13   4
    + 8*a33*m1 *m2 *n1 *n2  *n3  - 160*a33*m1 *m2 *n1 *n2  *n3

              4   4      19            4   4      17   2
    - 4*a33*m1 *m2 *n1*n2   + 28*a33*m1 *m2 *n1*n2  *n3

               4   4      15   4           3   5   18   2
    + 40*a33*m1 *m2 *n1*n2  *n3  + 4*a33*m1 *m2 *n1  *n2

               3   5   16   4            3   5   16   2   2
    - 36*a33*m1 *m2 *n1  *n2  + 48*a33*m1 *m2 *n1  *n2 *n3

               3   5   14   6             3   5   14   4   2
    - 64*a33*m1 *m2 *n1  *n2  - 112*a33*m1 *m2 *n1  *n2 *n3

               3   5   14   2   4            3   5   12   8
    + 80*a33*m1 *m2 *n1  *n2 *n3  + 96*a33*m1 *m2 *n1  *n2

                3   5   12   6   2            3   5   12   4   4
    - 368*a33*m1 *m2 *n1  *n2 *n3  - 80*a33*m1 *m2 *n1  *n2 *n3

                3   5   10   10            3   5   10   8   2
    + 180*a33*m1 *m2 *n1  *n2   + 72*a33*m1 *m2 *n1  *n2 *n3

                3   5   10   6   4            3   5   8   12
    - 360*a33*m1 *m2 *n1  *n2 *n3  - 36*a33*m1 *m2 *n1 *n2

                3   5   8   10   2            3   5   8   8   4
    + 504*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2 *n3

                3   5   6   14            3   5   6   12   2
    - 136*a33*m1 *m2 *n1 *n2   + 96*a33*m1 *m2 *n1 *n2  *n3

                3   5   6   10   4            3   5   4   16
    + 384*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

                3   5   4   14   2            3   5   2   18
    - 192*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2

               3   5   2   16   2             3   5   2   14   4
    - 56*a33*m1 *m2 *n1 *n2  *n3  - 104*a33*m1 *m2 *n1 *n2  *n3

              3   5   18   2           3   5   16   4            2   6   17   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2

               2   6   15   5            2   6   15   3   2
    - 12*a33*m1 *m2 *n1  *n2  + 72*a33*m1 *m2 *n1  *n2 *n3

               2   6   13   7            2   6   13   5   2
    - 96*a33*m1 *m2 *n1  *n2  + 32*a33*m1 *m2 *n1  *n2 *n3

               2   6   13   3   4            2   6   11   9
    + 80*a33*m1 *m2 *n1  *n2 *n3  - 48*a33*m1 *m2 *n1  *n2

                2   6   11   7   2            2   6   11   5   4
    - 272*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2 *n3

                2   6   9   11             2   6   9   9   2
    + 108*a33*m1 *m2 *n1 *n2   - 216*a33*m1 *m2 *n1 *n2 *n3

                2   6   9   7   4            2   6   7   13
    - 216*a33*m1 *m2 *n1 *n2 *n3  + 84*a33*m1 *m2 *n1 *n2

                2   6   7   11   2             2   6   7   9   4
    + 200*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

               2   6   5   15             2   6   5   13   2
    - 24*a33*m1 *m2 *n1 *n2   + 208*a33*m1 *m2 *n1 *n2  *n3

                2   6   5   11   4            2   6   3   17
    + 160*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   6   3   13   4            2   6      17   2
    + 72*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

               2   6      15   4               7   16   4
    - 24*a33*m1 *m2 *n1*n2  *n3  + 12*a33*m1*m2 *n1  *n2

                  7   14   6               7   14   4   2
    + 20*a33*m1*m2 *n1  *n2  + 48*a33*m1*m2 *n1  *n2 *n3

                  7   12   8               7   12   6   2
    - 24*a33*m1*m2 *n1  *n2  + 88*a33*m1*m2 *n1  *n2 *n3

                  7   12   4   4               7   10   10
    + 40*a33*m1*m2 *n1  *n2 *n3  - 56*a33*m1*m2 *n1  *n2

                  7   10   8   2               7   10   6   4
    - 40*a33*m1*m2 *n1  *n2 *n3  + 56*a33*m1*m2 *n1  *n2 *n3

                 7   8   12                7   8   10   2
    - 4*a33*m1*m2 *n1 *n2   - 144*a33*m1*m2 *n1 *n2  *n3

                  7   8   8   4               7   6   14
    - 48*a33*m1*m2 *n1 *n2 *n3  + 36*a33*m1*m2 *n1 *n2

                  7   6   12   2               7   6   10   4
    - 32*a33*m1*m2 *n1 *n2  *n3  - 80*a33*m1*m2 *n1 *n2  *n3

                  7   4   16               7   4   14   2
    + 16*a33*m1*m2 *n1 *n2   + 56*a33*m1*m2 *n1 *n2  *n3

                 7   4   12   4               7   2   16   2
    + 8*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                  7   2   14   4           8   15   5            8   13   7
    + 24*a33*m1*m2 *n1 *n2  *n3  + 4*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2

               8   13   5   2           8   11   9            8   11   7   2
    + 12*a33*m2 *n1  *n2 *n3  + 8*a33*m2 *n1  *n2  + 32*a33*m2 *n1  *n2 *n3

              8   11   5   4           8   9   11            8   9   9   2
    + 8*a33*m2 *n1  *n2 *n3  - 8*a33*m2 *n1 *n2   + 16*a33*m2 *n1 *n2 *n3

               8   9   7   4            8   7   13            8   7   11   2
    + 16*a33*m2 *n1 *n2 *n3  - 12*a33*m2 *n1 *n2   - 24*a33*m2 *n1 *n2  *n3

              8   5   15            8   5   13   2            8   5   11   4
    - 4*a33*m2 *n1 *n2   - 28*a33*m2 *n1 *n2  *n3  - 16*a33*m2 *n1 *n2  *n3

              8   3   15   2           8   3   13   4
    - 8*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3 )


              2   6   6   4   3             2   6   6   2   5
r319=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   3             2   6   4   4   5
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5                 2   5      7   3   3
       - 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      5             2   5      5   7
       - 16*a33 *m1 *m2*n1 *n2*n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   5   3              2   5      5   3   5
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9                2   5      3   7   3
       - 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   5             2   5   8   3   3
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      5             2   5   6   5   3
       + 4*a33 *m1 *n1 *n2*n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   5             2   5   4   7   3
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   5              2   4   2   8   4
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   2   3             2   4   2   8   5
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6                 2   4   2   6   4   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   5             2   4   2   4   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   6   3              2   4   2   4   4   5
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10                 2   4   2   2   8   3
       - 8*a33 *m1 *m2 *n1 *n2  *n3*r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   5             2   4      9   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   2   3             2   4      9   5
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6                 2   4      7   4   3
       - 6*a33 *m1 *m2*n1 *n2 *n3*r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   5             2   4      5   8
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   6   3              2   4      5   4   5
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10                2   4      3   8   3
       - 2*a33 *m1 *m2*n1 *n2  *n3*r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   5              2   3   3   9   3
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9      3              2   3   3   7   3   3
       + 12*a33 *m1 *m2 *n1 *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      5              2   3   3   5   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   5   3              2   3   3   5   3   5
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9                 2   3   3   3   7   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   5             2   3   3      11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      9   3              2   3   3      7   5
       + 20*a33 *m1 *m2 *n1*n2 *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3                2   3   2   10      3
       + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5                2   3   2   8   3   3
       + 8*a33 *m1 *m2 *n1 *n2 *n3*r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      5              2   3   2   6   5   3
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   5             2   3   2   4   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   4   7   3              2   3   2   4   5   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11                2   3   2   2   9   3
       - 4*a33 *m1 *m2 *n1 *n2  *n3*r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   5             2   2   4   10   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   4                 2   2   4   8   2   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6                 2   2   4   6   4   3
       - 32*a33 *m1 *m2 *n1 *n2 *n3*r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   5              2   2   4   4   6   3
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   5              2   2   4   2   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   8   3              2   2   4   2   6   5
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2                2   2   3   9   4
       - 2*a33 *m1 *m2 *n1  *n2 *n3*r216 + 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   2   3              2   2   3   7   6
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   4   3              2   2   3   7   2   5
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8                 2   2   3   5   6   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   5             2   2   3   3   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   8   3             2   2   3   3   6   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12                 2   2   3      10   3
       - 2*a33 *m1 *m2 *n1*n2  *n3*r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   5             2      5   9   3
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   5                 2      5   7   3   3
       + 4*a33 *m1*m2 *n1 *n2 *n3*r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7                 2      5   5   5   3
       - 16*a33 *m1*m2 *n1 *n2 *n3*r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   5              2      5   3   9
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   3   7   3              2      5   3   5   5
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   3              2      5      7   5
       - 16*a33 *m1*m2 *n1*n2 *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3                2      4   8   5
       - 4*a33 *m1*m2 *n1  *n2 *n3*r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   3   3              2      4   6   5   3
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   5             2      4   4   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   4   7   3              2      4   4   5   5
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11                2      4   2   9   3
       + 4*a33 *m1*m2 *n1 *n2  *n3*r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   5             2      4   11   3
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   5             2   6   8   4
       + 4*a33 *m1*m2 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   6                 2   6   6   4   3
       + 8*a33 *m2 *n1 *n2 *n3*r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8                 2   6   4   6   3
       + 4*a33 *m2 *n1 *n2 *n3*r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   5             2   6   2   8   3
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   5             2   5   9   4
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   6                2   5   7   4   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8                 2   5   5   6   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   5             2   5   3   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   8   3             2   5   3   6   5
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   3             2   5      8   5
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

             5   10   3   3            5   10      5
       - 2*m1 *n1  *n2 *n3 *r496 + 4*m1 *n1  *n2*n3 *r496

             5   8   5   3            5   8   3   5          5   4   9   3
       - 3*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496

             5   4   7   5            4      11   4
       - 2*m1 *n1 *n2 *n3 *r496 - 2*m1 *m2*n1  *n2 *n3*r496

             4      11   2   3            4      11   5
       + 7*m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

             4      9   6               4      9   4   3
       - 5*m1 *m2*n1 *n2 *n3*r496 + 7*m1 *m2*n1 *n2 *n3 *r496

              4      9   2   5            4      7   8
       + 16*m1 *m2*n1 *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *n3*r496

             4      7   6   3             4      7   4   5
       - 6*m1 *m2*n1 *n2 *n3 *r496 + 30*m1 *m2*n1 *n2 *n3 *r496

           4      5   10               4      5   8   3
       + m1 *m2*n1 *n2  *n3*r496 - 5*m1 *m2*n1 *n2 *n3 *r496

             4      5   6   5          4      3   12
       + 4*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *n3*r496

           4      3   10   3            4      3   8   5
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

             3   2   12   3               3   2   12      3
       + 3*m1 *m2 *n1  *n2 *n3*r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5                3   2   10   3   3
       + 2*m1 *m2 *n1  *n2 *n3*r496 + 19*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      5             3   2   8   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 - 10*m1 *m2 *n1 *n2 *n3*r496

              3   2   8   5   3             3   2   8   3   5
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   9                3   2   6   7   3
       - 12*m1 *m2 *n1 *n2 *n3*r496 + 12*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   5          3   2   4   11
       + 60*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *n3*r496

              3   2   4   9   3             3   2   4   7   5
       - 11*m1 *m2 *n1 *n2 *n3 *r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13               3   2   2   11   3
       + 2*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   5          2   3   13   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

             2   3   11   4               2   3   11   2   3
       + 5*m1 *m2 *n1  *n2 *n3*r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

              2   3   9   6                2   3   9   4   3
       + 13*m1 *m2 *n1 *n2 *n3*r496 + 15*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   5             2   3   7   6   3
       - 12*m1 *m2 *n1 *n2 *n3 *r496 + 64*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   5             2   3   5   10
       + 16*m1 *m2 *n1 *n2 *n3 *r496 - 13*m1 *m2 *n1 *n2  *n3*r496

              2   3   5   8   3             2   3   5   6   5
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 60*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   12               2   3   3   10   3
       - 5*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   5          2   3      14
       + 24*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *n3*r496

             2   3      12   3            2   3      10   5
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3                4   10   5
       - 2*m1*m2 *n1  *n2 *n3*r496 + m1*m2 *n1  *n2 *n3*r496

                4   10   3   3                4   8   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 + 12*m1*m2 *n1 *n2 *n3*r496

              4   8   5   3               4   8   3   5
       + m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                 4   6   9                   4   6   7   3
       + 10*m1*m2 *n1 *n2 *n3*r496 + 40*m1*m2 *n1 *n2 *n3 *r496

                4   6   5   5               4   4   11
       + 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *n3*r496

                 4   4   9   3                4   4   7   5
       + 39*m1*m2 *n1 *n2 *n3 *r496 + 30*m1*m2 *n1 *n2 *n3 *r496

                4   2   13                  4   2   11   3
       - 3*m1*m2 *n1 *n2  *n3*r496 + 7*m1*m2 *n1 *n2  *n3 *r496

                 4   2   9   5               4   13   3
       + 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   11   5          5   11   4             5   9   6
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *n3*r496 - m2 *n1 *n2 *n3*r496

             5   9   4   3            5   7   8               5   7   6   3
       - 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2 *n3*r496 - 2*m2 *n1 *n2 *n3 *r496

             5   7   4   5            5   5   10
       - 2*m2 *n1 *n2 *n3 *r496 + 5*m2 *n1 *n2  *n3*r496

             5   5   8   3            5   3   12
       + 9*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2  *n3*r496

              5   3   10   3            5   3   8   5
       + 12*m2 *n1 *n2  *n3 *r496 + 6*m2 *n1 *n2 *n3 *r496

             5      12   3            5      10   5                6   8   4   2
       + 4*m2 *n1*n2  *n3 *r496 + 4*m2 *n1*n2  *n3 *r496)/(4*a33*m1 *n1 *n2 *n3

              6   8   2   4           6   4   8   2           6   4   6   4
    - 8*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              5      9   5            5      9   3   2
    + 4*a33*m1 *m2*n1 *n2  - 20*a33*m1 *m2*n1 *n2 *n3

               5      9      4           5      7   7           5      7   5   2
    + 16*a33*m1 *m2*n1 *n2*n3  + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


              2   11   8   6   2             2   11   8   4   4
r320=( - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   11   6   8   2             2   11   6   6   4
       - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   10      9   7              2   10      9   5   2
       - 4*a33 *m1  *m2*n1 *n2 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      9   3   4             2   10      7   9
       - 24*a33 *m1  *m2*n1 *n2 *n3 *r214 - 8*a33 *m1  *m2*n1 *n2 *r214

               2   10      7   7   2              2   10      7   5   4
       + 12*a33 *m1  *m2*n1 *n2 *n3 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      5   11              2   10      5   9   2
       - 4*a33 *m1  *m2*n1 *n2  *r214 - 12*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      5   7   4             2   10   10   5   2
       + 48*a33 *m1  *m2*n1 *n2 *n3 *r214 - 2*a33 *m1  *n1  *n2 *n3 *r216

              2   10   10   3   4             2   10   8   7   2
       + 4*a33 *m1  *n1  *n2 *n3 *r216 - 4*a33 *m1  *n1 *n2 *n3 *r216

              2   10   8   5   4             2   10   6   9   2
       + 8*a33 *m1  *n1 *n2 *n3 *r216 - 2*a33 *m1  *n1 *n2 *n3 *r216

              2   10   6   7   4              2   9   2   10   6
       + 4*a33 *m1  *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

               2   9   2   10   4   2              2   9   2   10   2   4
       - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   9   2   8   8              2   9   2   8   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 44*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   9   2   8   4   4              2   9   2   6   10
       - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   9   2   6   8   2              2   9   2   6   6   4
       + 92*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   4   12               2   9   2   4   8   4
       - 16*a33 *m1 *m2 *n1 *n2  *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9      11   6              2   9      11   4   2
       - 2*a33 *m1 *m2*n1  *n2 *r216 + 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      11   2   4             2   9      9   8
       - 8*a33 *m1 *m2*n1  *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

               2   9      9   6   2             2   9      9   4   4
       + 14*a33 *m1 *m2*n1 *n2 *n3 *r216 + 8*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   9      7   10             2   9      7   8   2
       - 6*a33 *m1 *m2*n1 *n2  *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   9      7   6   4             2   9      5   12
       + 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2  *r216

              2   9      5   10   2              2   9      5   8   4
       - 6*a33 *m1 *m2*n1 *n2  *n3 *r216 + 24*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   8   3   11   5              2   8   3   11   3   2
       - 24*a33 *m1 *m2 *n1  *n2 *r214 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   11      4              2   8   3   9   7
       - 8*a33 *m1 *m2 *n1  *n2*n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

                2   8   3   9   5   2               2   8   3   9   3   4
       - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   7   9              2   8   3   7   7   2
       + 72*a33 *m1 *m2 *n1 *n2 *r214 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   3   7   5   4              2   8   3   5   11
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

                2   8   3   5   9   2               2   8   3   5   7   4
       + 148*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   3   13              2   8   3   3   11   2
       - 24*a33 *m1 *m2 *n1 *n2  *r214 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   3   3   9   4             2   8   2   12   5
       + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *r216

               2   8   2   12   3   2             2   8   2   12      4
       - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   8   2   10   7              2   8   2   10   5   2
       + 10*a33 *m1 *m2 *n1  *n2 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   10   3   4             2   8   2   8   9
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2 *r216

               2   8   2   8   7   2              2   8   2   8   5   4
       + 66*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   6   11              2   8   2   6   9   2
       - 18*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   6   7   4             2   8   2   4   13
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

               2   8   2   4   9   4              2   7   4   12   4
       + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   12   2   2              2   7   4   10   6
       - 12*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *r214

                2   7   4   10   4   2              2   7   4   10   2   4
       + 132*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   7   4   8   8               2   7   4   8   6   2
       - 64*a33 *m1 *m2 *n1 *n2 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   8   4   4              2   7   4   6   10
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2  *r214

                2   7   4   6   8   2               2   7   4   6   6   4
       - 264*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   4   12              2   7   4   4   10   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   4   4   8   4              2   7   4   2   14
       - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   2   12   2               2   7   4   2   10   4
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   7   3   13   4             2   7   3   13   2   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   3   11   6              2   7   3   11   4   2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   11   2   4              2   7   3   9   8
       + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 36*a33 *m1 *m2 *n1 *n2 *r216

               2   7   3   9   6   2              2   7   3   9   4   4
       - 52*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   7   10              2   7   3   7   8   2
       + 24*a33 *m1 *m2 *n1 *n2  *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   7   6   4              2   7   3   5   12
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 14*a33 *m1 *m2 *n1 *n2  *r216

               2   7   3   5   10   2              2   7   3   5   8   4
       + 94*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   3   14              2   7   3   3   12   2
       - 12*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   3   10   4             2   6   5   13   3
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   6   5   11   5              2   6   5   11   3   2
       + 32*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   11      4             2   6   5   9   7
       - 8*a33 *m1 *m2 *n1  *n2*n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

                2   6   5   9   5   2              2   6   5   9   3   4
       + 124*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   7   9              2   6   5   7   7   2
       - 80*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   5   7   5   4             2   6   5   5   11
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

                2   6   5   5   9   2              2   6   5   5   7   4
       - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   3   13              2   6   5   3   11   2
       + 32*a33 *m1 *m2 *n1 *n2  *r214 - 44*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   3   9   4             2   6   5      15
       - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   6   5      13   2              2   6   5      11   4
       + 36*a33 *m1 *m2 *n1*n2  *n3 *r214 + 48*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   6   4   14   3              2   6   4   12   5
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r216

               2   6   4   12   3   2             2   6   4   12      4
       + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   6   4   10   7              2   6   4   10   5   2
       - 20*a33 *m1 *m2 *n1  *n2 *r216 - 46*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   10   3   4              2   6   4   8   9
       + 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r216

                2   6   4   8   7   2              2   6   4   8   5   4
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   6   11             2   6   4   6   9   2
       + 42*a33 *m1 *m2 *n1 *n2  *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   4   6   7   4             2   6   4   4   13
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

               2   6   4   4   11   2              2   6   4   4   9   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   2   15              2   6   4   2   13   2
       - 8*a33 *m1 *m2 *n1 *n2  *r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   2   11   4              2   5   6   12   2   2
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   10   4   2              2   5   6   10   2   4
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   5   6   8   6   2               2   5   6   8   4   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   6   8   2              2   5   6   6   6   4
       - 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   4   10   2               2   5   6   4   8   4
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   2   12   2              2   5   6   2   10   4
       - 28*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   5   6   14   2             2   5   6   12   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

              2   5   5   13   4             2   5   5   13   2   2
       + 2*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   5   5   11   6             2   5   5   11   4   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   11   2   4              2   5   5   9   8
       + 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 18*a33 *m1 *m2 *n1 *n2 *r216

               2   5   5   9   6   2             2   5   5   9   4   4
       - 46*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   7   8   2              2   5   5   7   6   4
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   5   12              2   5   5   5   10   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 42*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   5   8   4             2   5   5   3   14
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   3   12   2             2   5   5   3   10   4
       + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5      16              2   5   5      14   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 18*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   5   5      12   4             2   4   7   13   3
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   4   7   11   5              2   4   7   11   3   2
       + 32*a33 *m1 *m2 *n1  *n2 *r214 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   4   7   9   7               2   4   7   9   5   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 + 180*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   9   3   4              2   4   7   7   9
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *r214

                2   4   7   7   7   2               2   4   7   7   5   4
       + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   5   11               2   4   7   5   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r214 - 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   5   7   4              2   4   7   3   13
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *r214

               2   4   7   3   11   2               2   4   7   3   9   4
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7      15              2   4   7      13   2
       - 4*a33 *m1 *m2 *n1*n2  *r214 + 12*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   4   7      11   4             2   4   6   14   3
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

              2   4   6   12   5              2   4   6   12   3   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   10   7              2   4   6   10   3   4
       - 18*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   8   7   2              2   4   6   8   5   4
       - 100*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   6   11              2   4   6   6   9   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   4   6   6   7   4             2   4   6   4   13
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

              2   4   6   4   11   2              2   4   6   4   9   4
       - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   2   15             2   4   6   2   13   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   2   11   4             2   4   6   15   2
       + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2   4   6   13   4              2   3   8   12   4
       + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   3   8   10   6               2   3   8   10   4   2
       + 48*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   8   8               2   3   8   8   6   2
       + 64*a33 *m1 *m2 *n1 *n2 *r214 + 140*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   8   4   4              2   3   8   6   10
       - 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2  *r214

                2   3   8   6   8   2               2   3   8   6   6   4
       + 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   4   12              2   3   8   4   10   2
       - 48*a33 *m1 *m2 *n1 *n2  *r214 - 72*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   8   4   8   4              2   3   8   2   14
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

               2   3   8   2   12   2               2   3   8   2   10   4
       - 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   8   14   2             2   3   8   12   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

              2   3   7   13   4             2   3   7   11   6
       + 8*a33 *m1 *m2 *n1  *n2 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r216

               2   3   7   11   4   2              2   3   7   9   8
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1 *n2 *r216

               2   3   7   9   6   2              2   3   7   9   4   4
       + 50*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   7   10               2   3   7   7   8   2
       - 24*a33 *m1 *m2 *n1 *n2  *r216 - 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   7   6   4              2   3   7   5   12
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2  *r216

                2   3   7   5   10   2              2   3   7   5   8   4
       - 108*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   3   14             2   3   7   3   12   2
       + 12*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   3   10   4             2   3   7      16
       - 64*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *r216

               2   3   7      14   2              2   3   7      12   4
       + 10*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   9   11   5              2   2   9   9   7
       - 24*a33 *m1 *m2 *n1  *n2 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

                2   2   9   9   5   2              2   2   9   7   9
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 72*a33 *m1 *m2 *n1 *n2 *r214

               2   2   9   7   7   2               2   2   9   7   5   4
       - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   5   11               2   2   9   5   9   2
       + 12*a33 *m1 *m2 *n1 *n2  *r214 + 172*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   5   7   4              2   2   9   3   13
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1 *n2  *r214

               2   2   9   3   11   2               2   2   9   3   9   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9      13   2              2   2   9      11   4
       - 24*a33 *m1 *m2 *n1*n2  *n3 *r214 - 24*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   2   8   12   5              2   2   8   10   7
       + 12*a33 *m1 *m2 *n1  *n2 *r216 + 14*a33 *m1 *m2 *n1  *n2 *r216

               2   2   8   10   5   2              2   2   8   8   9
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *r216

               2   2   8   8   7   2              2   2   8   8   5   4
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   6   11              2   2   8   6   9   2
       - 36*a33 *m1 *m2 *n1 *n2  *r216 - 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   6   7   4             2   2   8   4   13
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

               2   2   8   4   11   2              2   2   8   4   9   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   2   15              2   2   8   2   13   2
       + 6*a33 *m1 *m2 *n1 *n2  *r216 - 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   2   11   4             2   2   8   15   2
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   8   13   4              2      10   10   6
       + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1*m2  *n1  *n2 *r214

               2      10   8   8              2      10   8   6   2
       - 16*a33 *m1*m2  *n1 *n2 *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   10              2      10   6   8   2
       + 16*a33 *m1*m2  *n1 *n2  *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   6   4              2      10   4   12
       - 48*a33 *m1*m2  *n1 *n2 *n3 *r214 + 16*a33 *m1*m2  *n1 *n2  *r214

               2      10   4   10   2              2      10   4   8   4
       + 24*a33 *m1*m2  *n1 *n2  *n3 *r214 - 24*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   2   12   2              2      10   2   10   4
       + 24*a33 *m1*m2  *n1 *n2  *n3 *r214 + 24*a33 *m1*m2  *n1 *n2  *n3 *r214

              2      9   11   6              2      9   9   8
       + 8*a33 *m1*m2 *n1  *n2 *r216 + 18*a33 *m1*m2 *n1 *n2 *r216

               2      9   9   6   2             2      9   7   10
       + 30*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2  *r216

               2      9   7   8   2              2      9   7   6   4
       + 66*a33 *m1*m2 *n1 *n2 *n3 *r216 + 24*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   5   12              2      9   5   10   2
       - 10*a33 *m1*m2 *n1 *n2  *r216 + 34*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      9   5   8   4             2      9   3   14
       + 40*a33 *m1*m2 *n1 *n2 *n3 *r216 - 6*a33 *m1*m2 *n1 *n2  *r216

               2      9   3   12   2             2      9   3   10   4
       - 10*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      9      14   2             2      9      12   4
       - 8*a33 *m1*m2 *n1*n2  *n3 *r216 - 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2   11   9   7             2   11   7   9
       - 4*a33 *m2  *n1 *n2 *r214 - 8*a33 *m2  *n1 *n2 *r214

               2   11   7   7   2             2   11   5   11
       - 12*a33 *m2  *n1 *n2 *n3 *r214 - 4*a33 *m2  *n1 *n2  *r214

               2   11   5   9   2             2   11   5   7   4
       - 20*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   11   3   11   2             2   11   3   9   4
       - 8*a33 *m2  *n1 *n2  *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   10   10   7             2   10   8   9
       + 2*a33 *m2  *n1  *n2 *r216 + 6*a33 *m2  *n1 *n2 *r216

              2   10   8   7   2             2   10   6   11
       + 6*a33 *m2  *n1 *n2 *n3 *r216 + 6*a33 *m2  *n1 *n2  *r216

               2   10   6   9   2             2   10   6   7   4
       + 16*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2 *n3 *r216

              2   10   4   13              2   10   4   11   2
       + 2*a33 *m2  *n1 *n2  *r216 + 14*a33 *m2  *n1 *n2  *n3 *r216

              2   10   4   9   4             2   10   2   13   2
       + 8*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2  *n3 *r216

              2   10   2   11   4            10   10   7   2
       + 4*a33 *m2  *n1 *n2  *n3 *r216 + 3*m1  *n1  *n2 *n3 *r496

             10   10   5   4            10   8   9   2
       - 6*m1  *n1  *n2 *n3 *r496 - 2*m1  *n1 *n2 *n3 *r496

             10   8   7   4            10   6   11   2
       + 4*m1  *n1 *n2 *n3 *r496 - 5*m1  *n1 *n2  *n3 *r496

              10   6   9   4          9      13   4   2
       + 10*m1  *n1 *n2 *n3 *r496 - m1 *m2*n1  *n2 *n3 *r496

             9      13   2   4            9      11   8
       + 2*m1 *m2*n1  *n2 *n3 *r496 + 3*m1 *m2*n1  *n2 *r496

              9      11   6   2             9      11   4   4
       - 26*m1 *m2*n1  *n2 *n3 *r496 + 34*m1 *m2*n1  *n2 *n3 *r496

           9      9   10             9      9   8   2
       + m1 *m2*n1 *n2  *r496 + 16*m1 *m2*n1 *n2 *n3 *r496

              9      9   6   4            9      7   12
       - 38*m1 *m2*n1 *n2 *n3 *r496 - 7*m1 *m2*n1 *n2  *r496

              9      7   10   2             9      7   8   4
       + 26*m1 *m2*n1 *n2  *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             9      5   14             9      5   12   2
       - 5*m1 *m2*n1 *n2  *r496 - 15*m1 *m2*n1 *n2  *n3 *r496

              9      5   10   4            9   12   6   2
       + 60*m1 *m2*n1 *n2  *n3 *r496 - 2*m1 *n1  *n2 *n3 *r483

             9   12   4   4            9   10   8   2
       + 4*m1 *n1  *n2 *n3 *r483 - 2*m1 *n1  *n2 *n3 *r483

             9   10   6   4            9   8   10   2
       + 4*m1 *n1  *n2 *n3 *r483 + 2*m1 *n1 *n2  *n3 *r483

             9   8   8   4            9   6   12   2
       - 4*m1 *n1 *n2 *n3 *r483 + 2*m1 *n1 *n2  *n3 *r483

             9   6   10   4          8   2   14   5
       - 4*m1 *n1 *n2  *n3 *r483 - m1 *m2 *n1  *n2 *r496

             8   2   14   3   2            8   2   14      4
       + 4*m1 *m2 *n1  *n2 *n3 *r496 - 2*m1 *m2 *n1  *n2*n3 *r496

              8   2   12   7             8   2   12   5   2
       - 21*m1 *m2 *n1  *n2 *r496 + 74*m1 *m2 *n1  *n2 *n3 *r496

              8   2   12   3   4            8   2   10   9
       - 40*m1 *m2 *n1  *n2 *n3 *r496 - 5*m1 *m2 *n1  *n2 *r496

              8   2   10   7   2              8   2   10   5   4
       - 99*m1 *m2 *n1  *n2 *n3 *r496 + 204*m1 *m2 *n1  *n2 *n3 *r496

              8   2   8   11             8   2   8   9   2
       + 29*m1 *m2 *n1 *n2  *r496 - 44*m1 *m2 *n1 *n2 *n3 *r496

              8   2   8   7   4            8   2   6   13
       - 50*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2  *r496

               8   2   6   11   2              8   2   6   9   4
       + 125*m1 *m2 *n1 *n2  *n3 *r496 - 142*m1 *m2 *n1 *n2 *n3 *r496

              8   2   4   15              8   2   4   11   4
       - 20*m1 *m2 *n1 *n2  *r496 + 150*m1 *m2 *n1 *n2  *n3 *r496

             8      13   7             8      13   5   2
       - 2*m1 *m2*n1  *n2 *r483 + 12*m1 *m2*n1  *n2 *n3 *r483

              8      13   3   4            8      11   9
       - 12*m1 *m2*n1  *n2 *n3 *r483 - 4*m1 *m2*n1  *n2 *r483

             8      11   7   2             8      11   5   4
       + 6*m1 *m2*n1  *n2 *n3 *r483 + 12*m1 *m2*n1  *n2 *n3 *r483

              8      9   9   2             8      9   7   4
       - 18*m1 *m2*n1 *n2 *n3 *r483 + 36*m1 *m2*n1 *n2 *n3 *r483

             8      7   13            8      7   11   2
       + 4*m1 *m2*n1 *n2  *r483 - 6*m1 *m2*n1 *n2  *n3 *r483

              8      7   9   4            8      5   15
       - 12*m1 *m2*n1 *n2 *n3 *r483 + 2*m1 *m2*n1 *n2  *r483

             8      5   13   2             8      5   11   4
       + 6*m1 *m2*n1 *n2  *n3 *r483 - 24*m1 *m2*n1 *n2  *n3 *r483

             7   3   15   4            7   3   15   2   2
       + 2*m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2 *n3 *r496

              7   3   13   6             7   3   13   4   2
       + 41*m1 *m2 *n1  *n2 *r496 - 77*m1 *m2 *n1  *n2 *n3 *r496

              7   3   13   2   4             7   3   11   8
       + 22*m1 *m2 *n1  *n2 *n3 *r496 - 42*m1 *m2 *n1  *n2 *r496

               7   3   11   6   2              7   3   11   4   4
       + 332*m1 *m2 *n1  *n2 *n3 *r496 - 280*m1 *m2 *n1  *n2 *n3 *r496

              7   3   9   10             7   3   9   8   2
       - 94*m1 *m2 *n1 *n2  *r496 - 10*m1 *m2 *n1 *n2 *n3 *r496

               7   3   9   6   4             7   3   7   12
       + 476*m1 *m2 *n1 *n2 *n3 *r496 + 62*m1 *m2 *n1 *n2  *r496

               7   3   7   10   2              7   3   7   8   4
       - 299*m1 *m2 *n1 *n2  *n3 *r496 + 160*m1 *m2 *n1 *n2 *n3 *r496

              7   3   5   14              7   3   5   12   2
       + 45*m1 *m2 *n1 *n2  *r496 + 167*m1 *m2 *n1 *n2  *n3 *r496

               7   3   5   10   4             7   3   3   16
       - 418*m1 *m2 *n1 *n2  *n3 *r496 - 30*m1 *m2 *n1 *n2  *r496

              7   3   3   14   2              7   3   3   12   4
       + 50*m1 *m2 *n1 *n2  *n3 *r496 + 200*m1 *m2 *n1 *n2  *n3 *r496

             7   2   14   6             7   2   14   4   2
       + 8*m1 *m2 *n1  *n2 *r483 - 24*m1 *m2 *n1  *n2 *n3 *r483

              7   2   14   2   4            7   2   12   8
       + 12*m1 *m2 *n1  *n2 *n3 *r483 + 8*m1 *m2 *n1  *n2 *r483

              7   2   12   6   2             7   2   12   4   4
       + 24*m1 *m2 *n1  *n2 *n3 *r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

              7   2   10   10             7   2   10   8   2
       - 16*m1 *m2 *n1  *n2  *r483 + 72*m1 *m2 *n1  *n2 *n3 *r483

              7   2   10   6   4             7   2   8   12
       - 24*m1 *m2 *n1  *n2 *n3 *r483 - 16*m1 *m2 *n1 *n2  *r483

              7   2   8   10   2              7   2   8   8   4
       - 24*m1 *m2 *n1 *n2  *n3 *r483 + 120*m1 *m2 *n1 *n2 *n3 *r483

             7   2   6   14             7   2   6   12   2
       + 8*m1 *m2 *n1 *n2  *r483 - 48*m1 *m2 *n1 *n2  *n3 *r483

              7   2   6   10   4            7   2   4   16
       + 12*m1 *m2 *n1 *n2  *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

              7   2   4   12   4          6   4   16   3
       - 60*m1 *m2 *n1 *n2  *n3 *r483 - m1 *m2 *n1  *n2 *r496

              6   4   14   5             6   4   14   3   2
       - 36*m1 *m2 *n1  *n2 *r496 + 41*m1 *m2 *n1  *n2 *n3 *r496

              6   4   14      4              6   4   12   7
       - 10*m1 *m2 *n1  *n2*n3 *r496 + 130*m1 *m2 *n1  *n2 *r496

               6   4   12   5   2              6   4   12   3   4
       - 406*m1 *m2 *n1  *n2 *n3 *r496 + 170*m1 *m2 *n1  *n2 *n3 *r496

              6   4   10   9              6   4   10   7   2
       + 84*m1 *m2 *n1  *n2 *r496 + 463*m1 *m2 *n1  *n2 *n3 *r496

               6   4   10   5   4              6   4   8   11
       - 722*m1 *m2 *n1  *n2 *n3 *r496 - 221*m1 *m2 *n1 *n2  *r496

               6   4   8   9   2              6   4   8   7   4
       + 488*m1 *m2 *n1 *n2 *n3 *r496 + 476*m1 *m2 *n1 *n2 *n3 *r496

              6   4   6   13              6   4   6   11   2
       - 20*m1 *m2 *n1 *n2  *r496 - 487*m1 *m2 *n1 *n2  *n3 *r496

               6   4   6   9   4              6   4   4   15
       + 638*m1 *m2 *n1 *n2 *n3 *r496 + 100*m1 *m2 *n1 *n2  *r496

              6   4   4   13   2              6   4   4   11   4
       + 10*m1 *m2 *n1 *n2  *n3 *r496 - 590*m1 *m2 *n1 *n2  *n3 *r496

              6   4   2   17             6   4   2   15   2
       - 20*m1 *m2 *n1 *n2  *r496 + 75*m1 *m2 *n1 *n2  *n3 *r496

               6   4   2   13   4             6   3   15   5
       + 150*m1 *m2 *n1 *n2  *n3 *r496 - 12*m1 *m2 *n1  *n2 *r483

              6   3   15   3   2            6   3   15      4
       + 20*m1 *m2 *n1  *n2 *n3 *r483 - 4*m1 *m2 *n1  *n2*n3 *r483

             6   3   13   7             6   3   13   5   2
       + 8*m1 *m2 *n1  *n2 *r483 - 88*m1 *m2 *n1  *n2 *n3 *r483

              6   3   13   3   4             6   3   11   9
       + 68*m1 *m2 *n1  *n2 *n3 *r483 + 52*m1 *m2 *n1  *n2 *r483

              6   3   11   7   2              6   3   11   5   4
       - 68*m1 *m2 *n1  *n2 *n3 *r483 - 104*m1 *m2 *n1  *n2 *n3 *r483

               6   3   9   9   2              6   3   9   7   4
       + 168*m1 *m2 *n1 *n2 *n3 *r483 - 168*m1 *m2 *n1 *n2 *n3 *r483

              6   3   7   13             6   3   7   11   2
       - 52*m1 *m2 *n1 *n2  *r483 + 68*m1 *m2 *n1 *n2  *n3 *r483

               6   3   7   9   4            6   3   5   15
       + 188*m1 *m2 *n1 *n2 *n3 *r483 - 8*m1 *m2 *n1 *n2  *r483

              6   3   5   13   2              6   3   5   11   4
       - 80*m1 *m2 *n1 *n2  *n3 *r483 + 100*m1 *m2 *n1 *n2  *n3 *r483

              6   3   3   17             6   3   3   15   2
       + 12*m1 *m2 *n1 *n2  *r483 - 20*m1 *m2 *n1 *n2  *n3 *r483

              6   3   3   13   4             5   5   15   4
       - 80*m1 *m2 *n1 *n2  *n3 *r483 + 18*m1 *m2 *n1  *n2 *r496

              5   5   15   2   2              5   5   13   6
       - 15*m1 *m2 *n1  *n2 *n3 *r496 - 139*m1 *m2 *n1  *n2 *r496

               5   5   13   4   2             5   5   13   2   4
       + 234*m1 *m2 *n1  *n2 *n3 *r496 - 60*m1 *m2 *n1  *n2 *n3 *r496

              5   5   11   8              5   5   11   6   2
       + 73*m1 *m2 *n1  *n2 *r496 - 730*m1 *m2 *n1  *n2 *n3 *r496

               5   5   11   4   4              5   5   9   10
       + 446*m1 *m2 *n1  *n2 *n3 *r496 + 315*m1 *m2 *n1 *n2  *r496

           5   5   9   8   2              5   5   9   6   4
       + m1 *m2 *n1 *n2 *n3 *r496 - 944*m1 *m2 *n1 *n2 *n3 *r496

               5   5   7   12              5   5   7   10   2
       - 150*m1 *m2 *n1 *n2  *r496 + 945*m1 *m2 *n1 *n2  *n3 *r496

               5   5   5   14              5   5   5   12   2
       - 155*m1 *m2 *n1 *n2  *r496 - 232*m1 *m2 *n1 *n2  *n3 *r496

               5   5   5   10   4             5   5   3   16
       + 944*m1 *m2 *n1 *n2  *n3 *r496 + 75*m1 *m2 *n1 *n2  *r496

               5   5   3   14   2              5   5   3   12   4
       - 152*m1 *m2 *n1 *n2  *n3 *r496 - 446*m1 *m2 *n1 *n2  *n3 *r496

             5   5      18             5   5      16   2
       - 5*m1 *m2 *n1*n2  *r496 + 45*m1 *m2 *n1*n2  *n3 *r496

              5   5      14   4            5   4   16   4
       + 60*m1 *m2 *n1*n2  *n3 *r496 + 8*m1 *m2 *n1  *n2 *r483

             5   4   16   2   2             5   4   14   6
       - 6*m1 *m2 *n1  *n2 *n3 *r483 - 32*m1 *m2 *n1  *n2 *r483

              5   4   14   4   2             5   4   14   2   4
       + 90*m1 *m2 *n1  *n2 *n3 *r483 - 24*m1 *m2 *n1  *n2 *n3 *r483

              5   4   12   8             5   4   12   6   2
       - 48*m1 *m2 *n1  *n2 *r483 - 78*m1 *m2 *n1  *n2 *n3 *r483

               5   4   12   4   4             5   4   10   10
       + 156*m1 *m2 *n1  *n2 *n3 *r483 + 72*m1 *m2 *n1  *n2  *r483

               5   4   10   8   2             5   4   10   6   4
       - 270*m1 *m2 *n1  *n2 *n3 *r483 - 36*m1 *m2 *n1  *n2 *n3 *r483

              5   4   8   12              5   4   8   10   2
       + 72*m1 *m2 *n1 *n2  *r483 + 114*m1 *m2 *n1 *n2  *n3 *r483

               5   4   8   8   4             5   4   6   14
       - 336*m1 *m2 *n1 *n2 *n3 *r483 - 48*m1 *m2 *n1 *n2  *r483

               5   4   6   12   2              5   4   6   10   4
       + 210*m1 *m2 *n1 *n2  *n3 *r483 + 120*m1 *m2 *n1 *n2  *n3 *r483

              5   4   4   16             5   4   4   14   2
       - 32*m1 *m2 *n1 *n2  *r483 - 30*m1 *m2 *n1 *n2  *n3 *r483

               5   4   4   12   4            5   4   2   18
       + 180*m1 *m2 *n1 *n2  *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

              5   4   2   16   2             5   4   2   14   4
       - 30*m1 *m2 *n1 *n2  *n3 *r483 - 60*m1 *m2 *n1 *n2  *n3 *r483

             4   6   16   3             4   6   14   5
       - 5*m1 *m2 *n1  *n2 *r496 + 75*m1 *m2 *n1  *n2 *r496

              4   6   14   3   2              4   6   12   7
       - 75*m1 *m2 *n1  *n2 *n3 *r496 - 155*m1 *m2 *n1  *n2 *r496

               4   6   12   5   2              4   6   12   3   4
       + 450*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

               4   6   10   9              4   6   10   7   2
       - 150*m1 *m2 *n1  *n2 *r496 - 535*m1 *m2 *n1  *n2 *n3 *r496

               4   6   10   5   4              4   6   8   11
       + 590*m1 *m2 *n1  *n2 *n3 *r496 + 315*m1 *m2 *n1 *n2  *r496

               4   6   8   9   2              4   6   8   7   4
       - 626*m1 *m2 *n1 *n2 *n3 *r496 - 638*m1 *m2 *n1 *n2 *n3 *r496

              4   6   6   13              4   6   6   11   2
       + 73*m1 *m2 *n1 *n2  *r496 + 709*m1 *m2 *n1 *n2  *n3 *r496

               4   6   6   9   4              4   6   4   15
       - 476*m1 *m2 *n1 *n2 *n3 *r496 - 139*m1 *m2 *n1 *n2  *r496

               4   6   4   13   2              4   6   4   11   4
       + 146*m1 *m2 *n1 *n2  *n3 *r496 + 722*m1 *m2 *n1 *n2  *n3 *r496

              4   6   2   17              4   6   2   15   2
       + 18*m1 *m2 *n1 *n2  *r496 - 119*m1 *m2 *n1 *n2  *n3 *r496

               4   6   2   13   4             4   6   17   2
       - 170*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n2  *n3 *r496

              4   6   15   4            4   5   17   3
       + 10*m1 *m2 *n2  *n3 *r496 - 2*m1 *m2 *n1  *n2 *r483

              4   5   15   5             4   5   15   3   2
       + 28*m1 *m2 *n1  *n2 *r483 - 30*m1 *m2 *n1  *n2 *n3 *r483

             4   5   13   7              4   5   13   5   2
       - 8*m1 *m2 *n1  *n2 *r483 + 150*m1 *m2 *n1  *n2 *n3 *r483

              4   5   13   3   4              4   5   11   9
       - 60*m1 *m2 *n1  *n2 *n3 *r483 - 108*m1 *m2 *n1  *n2 *r483

              4   5   11   7   2              4   5   11   5   4
       + 90*m1 *m2 *n1  *n2 *n3 *r483 + 180*m1 *m2 *n1  *n2 *n3 *r483

               4   5   9   9   2              4   5   9   7   4
       - 330*m1 *m2 *n1 *n2 *n3 *r483 + 120*m1 *m2 *n1 *n2 *n3 *r483

               4   5   7   13              4   5   7   11   2
       + 108*m1 *m2 *n1 *n2  *r483 - 102*m1 *m2 *n1 *n2  *n3 *r483

               4   5   7   9   4            4   5   5   15
       - 336*m1 *m2 *n1 *n2 *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

               4   5   5   13   2             4   5   5   11   4
       + 198*m1 *m2 *n1 *n2  *n3 *r483 - 36*m1 *m2 *n1 *n2  *n3 *r483

              4   5   3   17             4   5   3   15   2
       - 28*m1 *m2 *n1 *n2  *r483 + 42*m1 *m2 *n1 *n2  *n3 *r483

               4   5   3   13   4            4   5      19
       + 156*m1 *m2 *n1 *n2  *n3 *r483 + 2*m1 *m2 *n1*n2  *r483

              4   5      17   2             4   5      15   4
       - 18*m1 *m2 *n1*n2  *n3 *r483 - 24*m1 *m2 *n1*n2  *n3 *r483

              3   7   15   4              3   7   13   6
       - 20*m1 *m2 *n1  *n2 *r496 + 100*m1 *m2 *n1  *n2 *r496

               3   7   13   4   2             3   7   11   8
       - 150*m1 *m2 *n1  *n2 *n3 *r496 - 20*m1 *m2 *n1  *n2 *r496

               3   7   11   6   2              3   7   11   4   4
       + 385*m1 *m2 *n1  *n2 *n3 *r496 - 200*m1 *m2 *n1  *n2 *n3 *r496

               3   7   9   10             3   7   9   8   2
       - 221*m1 *m2 *n1 *n2  *r496 - 41*m1 *m2 *n1 *n2 *n3 *r496

               3   7   9   6   4             3   7   7   12
       + 418*m1 *m2 *n1 *n2 *n3 *r496 + 84*m1 *m2 *n1 *n2  *r496

               3   7   7   10   2              3   7   7   8   4
       - 646*m1 *m2 *n1 *n2  *n3 *r496 - 160*m1 *m2 *n1 *n2 *n3 *r496

               3   7   5   14              3   7   5   12   2
       + 130*m1 *m2 *n1 *n2  *r496 + 136*m1 *m2 *n1 *n2  *n3 *r496

               3   7   5   10   4             3   7   3   16
       - 476*m1 *m2 *n1 *n2  *n3 *r496 - 36*m1 *m2 *n1 *n2  *r496

               3   7   3   14   2              3   7   3   12   4
       + 181*m1 *m2 *n1 *n2  *n3 *r496 + 280*m1 *m2 *n1 *n2  *n3 *r496

           3   7      18             3   7      16   2
       - m1 *m2 *n1*n2  *r496 - 25*m1 *m2 *n1*n2  *n3 *r496

              3   7      14   4            3   6   16   4
       - 22*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1  *n2 *r483

              3   6   14   6             3   6   14   4   2
       + 32*m1 *m2 *n1  *n2 *r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

              3   6   12   8              3   6   12   6   2
       + 48*m1 *m2 *n1  *n2 *r483 + 100*m1 *m2 *n1  *n2 *n3 *r483

              3   6   12   4   4             3   6   10   10
       - 80*m1 *m2 *n1  *n2 *n3 *r483 - 72*m1 *m2 *n1  *n2  *r483

               3   6   10   8   2              3   6   10   6   4
       + 220*m1 *m2 *n1  *n2 *n3 *r483 + 100*m1 *m2 *n1  *n2 *n3 *r483

              3   6   8   12              3   6   8   10   2
       - 72*m1 *m2 *n1 *n2  *r483 - 148*m1 *m2 *n1 *n2  *n3 *r483

               3   6   8   8   4             3   6   6   14
       + 188*m1 *m2 *n1 *n2 *n3 *r483 + 48*m1 *m2 *n1 *n2  *r483

               3   6   6   12   2              3   6   6   10   4
       - 204*m1 *m2 *n1 *n2  *n3 *r483 - 168*m1 *m2 *n1 *n2  *n3 *r483

              3   6   4   16             3   6   4   14   2
       + 32*m1 *m2 *n1 *n2  *r483 + 52*m1 *m2 *n1 *n2  *n3 *r483

               3   6   4   12   4            3   6   2   18
       - 104*m1 *m2 *n1 *n2  *n3 *r483 - 8*m1 *m2 *n1 *n2  *r483

              3   6   2   16   2             3   6   2   14   4
       + 44*m1 *m2 *n1 *n2  *n3 *r483 + 68*m1 *m2 *n1 *n2  *n3 *r483

             3   6   18   2            3   6   16   4
       - 4*m1 *m2 *n2  *n3 *r483 - 4*m1 *m2 *n2  *n3 *r483

              2   8   14   5             2   8   12   7
       - 30*m1 *m2 *n1  *n2 *r496 + 45*m1 *m2 *n1  *n2 *r496

               2   8   12   5   2             2   8   10   9
       - 150*m1 *m2 *n1  *n2 *n3 *r496 + 62*m1 *m2 *n1  *n2 *r496

               2   8   10   7   2              2   8   10   5   4
       + 117*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

              2   8   8   11              2   8   8   9   2
       - 94*m1 *m2 *n1 *n2  *r496 + 148*m1 *m2 *n1 *n2 *n3 *r496

               2   8   8   7   4             2   8   6   13
       + 142*m1 *m2 *n1 *n2 *n3 *r496 - 42*m1 *m2 *n1 *n2  *r496

               2   8   6   11   2             2   8   6   9   4
       - 253*m1 *m2 *n1 *n2  *n3 *r496 + 50*m1 *m2 *n1 *n2 *n3 *r496

              2   8   4   15             2   8   4   13   2
       + 41*m1 *m2 *n1 *n2  *r496 - 90*m1 *m2 *n1 *n2  *n3 *r496

               2   8   4   11   4            2   8   2   17
       - 204*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n1 *n2  *r496

              2   8   2   15   2             2   8   2   13   4
       + 46*m1 *m2 *n1 *n2  *n3 *r496 + 40*m1 *m2 *n1 *n2  *n3 *r496

             2   8   17   2            2   8   15   4
       + 2*m1 *m2 *n2  *n3 *r496 + 2*m1 *m2 *n2  *n3 *r496

              2   7   15   5            2   7   13   7
       - 12*m1 *m2 *n1  *n2 *r483 + 8*m1 *m2 *n1  *n2 *r483

              2   7   13   5   2             2   7   11   9
       - 60*m1 *m2 *n1  *n2 *n3 *r483 + 52*m1 *m2 *n1  *n2 *r483

              2   7   11   5   4              2   7   9   9   2
       - 60*m1 *m2 *n1  *n2 *n3 *r483 + 156*m1 *m2 *n1 *n2 *n3 *r483

              2   7   9   7   4             2   7   7   13
       + 12*m1 *m2 *n1 *n2 *n3 *r483 - 52*m1 *m2 *n1 *n2  *r483

              2   7   7   11   2              2   7   7   9   4
       + 24*m1 *m2 *n1 *n2  *n3 *r483 + 120*m1 *m2 *n1 *n2 *n3 *r483

             2   7   5   15              2   7   5   13   2
       - 8*m1 *m2 *n1 *n2  *r483 - 108*m1 *m2 *n1 *n2  *n3 *r483

              2   7   5   11   4             2   7   3   17
       - 24*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2  *r483

              2   7   3   15   2             2   7   3   13   4
       - 24*m1 *m2 *n1 *n2  *n3 *r483 - 60*m1 *m2 *n1 *n2  *n3 *r483

              2   7      17   2             2   7      15   4
       + 12*m1 *m2 *n1*n2  *n3 *r483 + 12*m1 *m2 *n1*n2  *n3 *r483

                 9   13   6               9   11   8
       - 20*m1*m2 *n1  *n2 *r496 - 6*m1*m2 *n1  *n2 *r496

                 9   11   6   2                9   9   10
       - 75*m1*m2 *n1  *n2 *n3 *r496 + 29*m1*m2 *n1 *n2  *r496

                 9   9   8   2                9   9   6   4
       - 24*m1*m2 *n1 *n2 *n3 *r496 - 60*m1*m2 *n1 *n2 *n3 *r496

                9   7   12                9   7   10   2
       - 5*m1*m2 *n1 *n2  *r496 + 64*m1*m2 *n1 *n2  *n3 *r496

                 9   7   8   4                9   5   14
       + 10*m1*m2 *n1 *n2 *n3 *r496 - 21*m1*m2 *n1 *n2  *r496

                 9   5   12   2                9   5   10   4
       - 22*m1*m2 *n1 *n2  *n3 *r496 + 38*m1*m2 *n1 *n2  *n3 *r496

              9   3   16                9   3   14   2
       - m1*m2 *n1 *n2  *r496 - 37*m1*m2 *n1 *n2  *n3 *r496

                 9   3   12   4               9      16   2
       - 34*m1*m2 *n1 *n2  *n3 *r496 - 2*m1*m2 *n1*n2  *n3 *r496

                9      14   4               8   14   6
       - 2*m1*m2 *n1*n2  *n3 *r496 - 8*m1*m2 *n1  *n2 *r483

                8   12   8                8   12   6   2
       - 8*m1*m2 *n1  *n2 *r483 - 30*m1*m2 *n1  *n2 *n3 *r483

                 8   10   10                8   10   8   2
       + 16*m1*m2 *n1  *n2  *r483 - 30*m1*m2 *n1  *n2 *n3 *r483

                 8   10   6   4                8   8   12
       - 24*m1*m2 *n1  *n2 *n3 *r483 + 16*m1*m2 *n1 *n2  *r483

                 8   8   10   2                8   8   8   4
       + 42*m1*m2 *n1 *n2  *n3 *r483 - 12*m1*m2 *n1 *n2 *n3 *r483

                8   6   14                8   6   12   2
       - 8*m1*m2 *n1 *n2  *r483 + 42*m1*m2 *n1 *n2  *n3 *r483

                 8   6   10   4               8   4   16
       + 36*m1*m2 *n1 *n2  *n3 *r483 - 8*m1*m2 *n1 *n2  *r483

                 8   4   14   2                8   4   12   4
       - 12*m1*m2 *n1 *n2  *n3 *r483 + 12*m1*m2 *n1 *n2  *n3 *r483

                 8   2   16   2                8   2   14   4
       - 12*m1*m2 *n1 *n2  *n3 *r483 - 12*m1*m2 *n1 *n2  *n3 *r483

             10   12   7            10   10   9             10   10   7   2
       - 5*m2  *n1  *n2 *r496 - 7*m2  *n1  *n2 *r496 - 15*m2  *n1  *n2 *n3 *r496

           10   8   11             10   8   9   2
       + m2  *n1 *n2  *r496 - 16*m2  *n1 *n2 *n3 *r496

              10   8   7   4            10   6   13
       - 10*m2  *n1 *n2 *n3 *r496 + 3*m2  *n1 *n2  *r496

             10   6   11   2            10   6   9   4
       + 5*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2 *n3 *r496

             10   4   13   2            10   4   11   4
       + 6*m2  *n1 *n2  *n3 *r496 + 6*m2  *n1 *n2  *n3 *r496

             9   13   7            9   11   9            9   11   7   2
       - 2*m2 *n1  *n2 *r483 - 4*m2 *n1  *n2 *r483 - 6*m2 *n1  *n2 *n3 *r483

              9   9   9   2            9   9   7   4            9   7   13
       - 10*m2 *n1 *n2 *n3 *r483 - 4*m2 *n1 *n2 *n3 *r483 + 4*m2 *n1 *n2  *r483

             9   7   11   2            9   7   9   4            9   5   15
       + 2*m2 *n1 *n2  *n3 *r483 - 4*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1 *n2  *r483

              9   5   13   2            9   5   11   4
       + 10*m2 *n1 *n2  *n3 *r483 + 4*m2 *n1 *n2  *n3 *r483

             9   3   15   2            9   3   13   4
       + 4*m2 *n1 *n2  *n3 *r483 + 4*m2 *n1 *n2  *n3 *r483)/(

           9   12   5   2           9   12   3   4           9   10   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 4*a33*m1 *n1  *n2 *n3

              9   10   5   4           9   8   9   2           9   8   7   4
    - 8*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              9   6   11   2           9   6   9   4           8      13   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1  *n2

               8      13   4   2            8      13   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

              8      11   8            8      11   6   2
    + 8*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

               8      11   4   4            8      9   8   2
    - 24*a33*m1 *m2*n1  *n2 *n3  + 36*a33*m1 *m2*n1 *n2 *n3

               8      9   6   4           8      7   12
    - 72*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               8      7   10   2            8      7   8   4
    + 12*a33*m1 *m2*n1 *n2  *n3  + 24*a33*m1 *m2*n1 *n2 *n3

              8      5   14            8      5   12   2
    - 4*a33*m1 *m2*n1 *n2   - 12*a33*m1 *m2*n1 *n2  *n3

               8      5   10   4            7   2   14   5
    + 48*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   14   3   2            7   2   14      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               7   2   12   7            7   2   12   5   2
    - 16*a33*m1 *m2 *n1  *n2  - 48*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   3   4            7   2   10   9
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 32*a33*m1 *m2 *n1  *n2

                7   2   10   7   2            7   2   10   5   4
    - 144*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   8   11            7   2   8   9   2
    + 32*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2 *n3

                7   2   8   7   4            7   2   6   13
    - 240*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

               7   2   6   11   2            7   2   6   9   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2 *n3

               7   2   4   15             7   2   4   11   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   15   4            6   3   15   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   15   4            6   3   13   6
    + 8*a33*m1 *m2 *n1  *n3  - 16*a33*m1 *m2 *n1  *n2

                6   3   13   4   2             6   3   13   2   4
    + 176*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   8             6   3   11   6   2
    - 104*a33*m1 *m2 *n1  *n2  + 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   4   4             6   3   9   8   2
    + 208*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                6   3   9   6   4             6   3   7   12
    + 336*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

                6   3   7   10   2             6   3   7   8   4
    - 136*a33*m1 *m2 *n1 *n2  *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               6   3   5   14             6   3   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 160*a33*m1 *m2 *n1 *n2  *n3

                6   3   5   10   4            6   3   3   16
    - 200*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   14   2             6   3   3   12   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   16   3            5   4   16      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   14   5             5   4   14   3   2
    + 64*a33*m1 *m2 *n1  *n2  - 180*a33*m1 *m2 *n1  *n2 *n3

               5   4   14      4            5   4   12   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 96*a33*m1 *m2 *n1  *n2

                5   4   12   5   2             5   4   12   3   4
    + 156*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1  *n2 *n3

                5   4   10   9             5   4   10   7   2
    - 144*a33*m1 *m2 *n1  *n2  + 540*a33*m1 *m2 *n1  *n2 *n3

               5   4   10   5   4             5   4   8   11
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1 *n2

                5   4   8   9   2             5   4   8   7   4
    - 228*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

               5   4   6   13             5   4   6   11   2
    + 96*a33*m1 *m2 *n1 *n2   - 420*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   9   4            5   4   4   15
    - 240*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2

               5   4   4   13   2             5   4   4   11   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  - 360*a33*m1 *m2 *n1 *n2  *n3

               5   4   2   17            5   4   2   15   2
    - 16*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   2   13   4           4   5   17   2
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1  *n2

               4   5   15   4            4   5   15   2   2
    - 56*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               4   5   13   6             4   5   13   4   2
    + 16*a33*m1 *m2 *n1  *n2  - 300*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   2   4             4   5   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 216*a33*m1 *m2 *n1  *n2

                4   5   11   6   2             4   5   11   4   4
    - 180*a33*m1 *m2 *n1  *n2 *n3  - 360*a33*m1 *m2 *n1  *n2 *n3

                4   5   9   8   2             4   5   9   6   4
    + 660*a33*m1 *m2 *n1 *n2 *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

                4   5   7   12             4   5   7   10   2
    - 216*a33*m1 *m2 *n1 *n2   + 204*a33*m1 *m2 *n1 *n2  *n3

                4   5   7   8   4            4   5   5   14
    + 672*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                4   5   5   12   2            4   5   5   10   4
    - 396*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

               4   5   3   16            4   5   3   14   2
    + 56*a33*m1 *m2 *n1 *n2   - 84*a33*m1 *m2 *n1 *n2  *n3

                4   5   3   12   4           4   5      18
    - 312*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2

               4   5      16   2            4   5      14   4
    + 36*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

               3   6   16   3            3   6   14   5
    + 16*a33*m1 *m2 *n1  *n2  - 64*a33*m1 *m2 *n1  *n2

                3   6   14   3   2            3   6   12   7
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 96*a33*m1 *m2 *n1  *n2

                3   6   12   5   2             3   6   12   3   4
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   9             3   6   10   7   2
    + 144*a33*m1 *m2 *n1  *n2  - 440*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   5   4             3   6   8   11
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1 *n2

                3   6   8   9   2             3   6   8   7   4
    + 296*a33*m1 *m2 *n1 *n2 *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               3   6   6   13             3   6   6   11   2
    - 96*a33*m1 *m2 *n1 *n2   + 408*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   9   4            3   6   4   15
    + 336*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2

                3   6   4   13   2             3   6   4   11   4
    - 104*a33*m1 *m2 *n1 *n2  *n3  + 208*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   17            3   6   2   15   2
    + 16*a33*m1 *m2 *n1 *n2   - 88*a33*m1 *m2 *n1 *n2  *n3

                3   6   2   13   4           3   6   17   2
    - 136*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   15   4            2   7   15   4            2   7   13   6
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2

                2   7   13   4   2             2   7   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                2   7   11   4   4             2   7   9   8   2
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1 *n2 *n3

               2   7   9   6   4             2   7   7   12
    - 24*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

               2   7   7   10   2             2   7   7   8   4
    - 48*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

               2   7   5   14             2   7   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 216*a33*m1 *m2 *n1 *n2  *n3

               2   7   5   10   4            2   7   3   16
    + 48*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   7   3   14   2             2   7   3   12   4
    + 48*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

               2   7      16   2            2   7      14   4
    - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  8   14   5               8   12   7
    + 16*a33*m1*m2 *n1  *n2  + 16*a33*m1*m2 *n1  *n2

                  8   12   5   2               8   10   9
    + 60*a33*m1*m2 *n1  *n2 *n3  - 32*a33*m1*m2 *n1  *n2

                  8   10   7   2               8   10   5   4
    + 60*a33*m1*m2 *n1  *n2 *n3  + 48*a33*m1*m2 *n1  *n2 *n3

                  8   8   11               8   8   9   2
    - 32*a33*m1*m2 *n1 *n2   - 84*a33*m1*m2 *n1 *n2 *n3

                  8   8   7   4               8   6   13
    + 24*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2

                  8   6   11   2               8   6   9   4
    - 84*a33*m1*m2 *n1 *n2  *n3  - 72*a33*m1*m2 *n1 *n2 *n3

                  8   4   15               8   4   13   2
    + 16*a33*m1*m2 *n1 *n2   + 24*a33*m1*m2 *n1 *n2  *n3

                  8   4   11   4               8   2   15   2
    - 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                  8   2   13   4           9   13   6           9   11   8
    + 24*a33*m1*m2 *n1 *n2  *n3  + 4*a33*m2 *n1  *n2  + 8*a33*m2 *n1  *n2

               9   11   6   2            9   9   8   2           9   9   6   4
    + 12*a33*m2 *n1  *n2 *n3  + 20*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3

              9   7   12           9   7   10   2           9   7   8   4
    - 8*a33*m2 *n1 *n2   - 4*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3

              9   5   14            9   5   12   2           9   5   10   4
    - 4*a33*m2 *n1 *n2   - 20*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   14   2           9   3   12   4
    - 8*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3 )


      2*m1*n1*n3*r496 + 2*m2*n2*n3*r496
r323=-----------------------------------
                    2         2
              a33*n1  + a33*n2


           2   7   6   4   2             2   7   6   2   4
r325=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   7   4   6   2             2   7   4   4   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6      7   5              2   6      7   3   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   6      7      4             2   6      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   6      5   5   2              2   6      5   3   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   6      3   9             2   6      3   7   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   6      3   5   4             2   6   8   3   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   6   8      4             2   6   6   5   2
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   6   6   3   4             2   6   4   7   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   6   4   5   4              2   5   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   8   2   2             2   5   2   8   4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   5   2   6   6              2   5   2   6   4   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   6   2   4             2   5   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   4   6   2              2   5   2   4   4   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   2   10              2   5   2   2   8   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   2   6   4             2   5      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

              2   5      9   2   2             2   5      9   4
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   5      7   6              2   5      7   4   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      7   2   4             2   5      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   5      5   6   2              2   5      5   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      3   10             2   5      3   8   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   5      3   6   4              2   4   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   9      2              2   4   3   7   3   2
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   7      4              2   4   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   5   5   2              2   4   3   5   3   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   3   9              2   4   3   3   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   3   5   4             2   4   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   4   3      9   2              2   4   3      7   4
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   4   2   10   3             2   4   2   10      2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   4   2   8   5             2   4   2   8   3   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   8      4              2   4   2   6   5   2
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   6   3   4             2   4   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   4   2   4   7   2              2   4   2   4   5   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   2   11             2   4   2   2   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   2   7   4             2   3   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   3   4   8   4              2   3   4   8   2   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   6   6              2   3   4   6   4   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   6   2   4              2   3   4   4   6   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   4   4   4              2   3   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   3   4   2   8   2              2   3   4   2   6   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   10   2             2   3   4   8   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   3   3   11   2             2   3   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   9   2   2              2   3   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   7   4   2              2   3   3   7   2   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   5   8              2   3   3   5   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   5   4   4             2   3   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   3   3   3   8   2             2   3   3   3   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3      12              2   3   3      10   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   3      8   4             2   2   5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r214

              2   2   5   7   5              2   2   5   7   3   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   5   7              2   2   5   5   5   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   5   3   4              2   2   5   3   9
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   2   5   3   7   2              2   2   5   3   5   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5      9   2              2   2   5      7   4
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r214 + 16*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       + 4*a33 *m1 *m2 *n1  *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   8   3   2              2   2   4   6   5   2
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   4   6   3   4             2   2   4   4   9
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   4   7   2              2   2   4   4   5   4
       + 22*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   2   11             2   2   4   2   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   2   7   4             2   2   4   11   2
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   4   9   4             2      6   8   4
       - 4*a33 *m1 *m2 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1 *n2 *r214

              2      6   6   6              2      6   6   4   2
       - 8*a33 *m1*m2 *n1 *n2 *r214 - 12*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   4   8              2      6   4   6   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 20*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   4   4   4             2      6   2   8   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r214 - 8*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   2   6   4             2      5   9   4
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r214 + 2*a33 *m1*m2 *n1 *n2 *r216

              2      5   7   6             2      5   7   4   2
       + 6*a33 *m1*m2 *n1 *n2 *r216 + 6*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   5   8              2      5   5   6   2
       + 6*a33 *m1*m2 *n1 *n2 *r216 + 16*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   5   4   4             2      5   3   10
       + 4*a33 *m1*m2 *n1 *n2 *n3 *r216 + 2*a33 *m1*m2 *n1 *n2  *r216

               2      5   3   8   2             2      5   3   6   4
       + 14*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5      10   2             2      5      8   4
       + 4*a33 *m1*m2 *n1*n2  *n3 *r216 + 4*a33 *m1*m2 *n1*n2 *n3 *r216

             6   10   3   2            6   10      4
       + 4*m1 *n1  *n2 *n3 *r496 - 8*m1 *n1  *n2*n3 *r496

             6   8   5   2            6   8   3   4
       + 3*m1 *n1 *n2 *n3 *r496 - 6*m1 *n1 *n2 *n3 *r496

             6   6   7   2            6   6   5   4          6   4   9   2
       - 2*m1 *n1 *n2 *n3 *r496 + 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496

             6   4   7   4            5      11   4
       + 2*m1 *n1 *n2 *n3 *r496 + 4*m1 *m2*n1  *n2 *r496

              5      11   2   2            5      11   4
       - 15*m1 *m2*n1  *n2 *n3 *r496 + 6*m1 *m2*n1  *n3 *r496

             5      9   6            5      9   4   2
       + 7*m1 *m2*n1 *n2 *r496 - 3*m1 *m2*n1 *n2 *n3 *r496

              5      9   2   4          5      7   8
       - 36*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2 *r496

              5      7   6   2             5      7   4   4
       + 14*m1 *m2*n1 *n2 *n3 *r496 - 34*m1 *m2*n1 *n2 *n3 *r496

             5      5   10          5      5   8   2
       - 3*m1 *m2*n1 *n2  *r496 + m1 *m2*n1 *n2 *n3 *r496

              5      5   6   4          5      3   12
       + 16*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *r496

           5      3   10   2            5      3   8   4
       - m1 *m2*n1 *n2  *n3 *r496 + 8*m1 *m2*n1 *n2 *n3 *r496

           5   10   4   2            5   10   2   4          5   8   6   2
       - m1 *n1  *n2 *n3 *r483 + 2*m1 *n1  *n2 *n3 *r483 - m1 *n1 *n2 *n3 *r483

             5   8   4   4          5   6   8   2            5   6   6   4
       + 2*m1 *n1 *n2 *n3 *r483 + m1 *n1 *n2 *n3 *r483 - 2*m1 *n1 *n2 *n3 *r483

           5   4   10   2            5   4   8   4
       + m1 *n1 *n2  *n3 *r483 - 2*m1 *n1 *n2 *n3 *r483

             4   2   12   3            4   2   12      2
       - 7*m1 *m2 *n1  *n2 *r496 + 9*m1 *m2 *n1  *n2*n3 *r496

              4   2   10   3   2             4   2   10      4
       - 47*m1 *m2 *n1  *n2 *n3 *r496 + 28*m1 *m2 *n1  *n2*n3 *r496

              4   2   8   7             4   2   8   5   2
       + 20*m1 *m2 *n1 *n2 *r496 - 52*m1 *m2 *n1 *n2 *n3 *r496

              4   2   8   3   4             4   2   6   9
       - 64*m1 *m2 *n1 *n2 *n3 *r496 + 10*m1 *m2 *n1 *n2 *r496

              4   2   6   7   2             4   2   6   5   4
       + 16*m1 *m2 *n1 *n2 *n3 *r496 - 80*m1 *m2 *n1 *n2 *n3 *r496

             4   2   4   11             4   2   4   9   2
       - 5*m1 *m2 *n1 *n2  *r496 + 15*m1 *m2 *n1 *n2 *n3 *r496

              4   2   4   7   4            4   2   2   13
       + 24*m1 *m2 *n1 *n2 *n3 *r496 - 2*m1 *m2 *n1 *n2  *r496

             4   2   2   11   2             4   2   2   9   4
       + 3*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1 *n2 *n3 *r496

           4      11   5            4      11   3   2
       - m1 *m2*n1  *n2 *r483 + 4*m1 *m2*n1  *n2 *n3 *r483

             4      11      4            4      9   7
       - 2*m1 *m2*n1  *n2*n3 *r483 - 2*m1 *m2*n1 *n2 *r483

             4      9   5   2            4      9   3   4
       + 3*m1 *m2*n1 *n2 *n3 *r483 + 6*m1 *m2*n1 *n2 *n3 *r483

             4      7   7   2             4      7   5   4
       - 5*m1 *m2*n1 *n2 *n3 *r483 + 10*m1 *m2*n1 *n2 *n3 *r483

             4      5   11            4      5   9   2
       + 2*m1 *m2*n1 *n2  *r483 - 3*m1 *m2*n1 *n2 *n3 *r483

             4      5   7   4          4      3   13
       - 6*m1 *m2*n1 *n2 *n3 *r483 + m1 *m2*n1 *n2  *r483

           4      3   11   2            4      3   9   4
       + m1 *m2*n1 *n2  *n3 *r483 - 8*m1 *m2*n1 *n2 *n3 *r483

             3   3   13   2             3   3   11   4
       + 3*m1 *m2 *n1  *n2 *r496 - 15*m1 *m2 *n1  *n2 *r496

              3   3   11   2   2             3   3   9   6
       + 33*m1 *m2 *n1  *n2 *n3 *r496 - 21*m1 *m2 *n1 *n2 *r496

              3   3   9   4   2             3   3   9   2   4
       - 47*m1 *m2 *n1 *n2 *n3 *r496 + 52*m1 *m2 *n1 *n2 *n3 *r496

              3   3   7   8              3   3   7   6   2
       + 16*m1 *m2 *n1 *n2 *r496 - 104*m1 *m2 *n1 *n2 *n3 *r496

              3   3   7   4   4             3   3   5   10
       - 56*m1 *m2 *n1 *n2 *n3 *r496 + 19*m1 *m2 *n1 *n2  *r496

              3   3   5   8   2              3   3   5   6   4
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 100*m1 *m2 *n1 *n2 *n3 *r496

           3   3   3   12             3   3   3   10   2
       - m1 *m2 *n1 *n2  *r496 + 19*m1 *m2 *n1 *n2  *n3 *r496

              3   3   3   8   4          3   3      14
       + 16*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1*n2  *r496

             3   3      12   2            3   3      10   4
       + 5*m1 *m2 *n1*n2  *n3 *r496 + 8*m1 *m2 *n1*n2  *n3 *r496

             3   2   12   4            3   2   12   2   2
       + 2*m1 *m2 *n1  *n2 *r483 - 3*m1 *m2 *n1  *n2 *n3 *r483

             3   2   10   6            3   2   10   4   2
       + 2*m1 *m2 *n1  *n2 *r483 + 7*m1 *m2 *n1  *n2 *n3 *r483

             3   2   10   2   4            3   2   8   8
       - 8*m1 *m2 *n1  *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2 *r483

              3   2   8   6   2            3   2   8   4   4
       + 16*m1 *m2 *n1 *n2 *n3 *r483 + 4*m1 *m2 *n1 *n2 *n3 *r483

             3   2   6   10            3   2   6   8   2
       - 4*m1 *m2 *n1 *n2  *r483 - 4*m1 *m2 *n1 *n2 *n3 *r483

              3   2   6   6   4            3   2   4   12
       + 20*m1 *m2 *n1 *n2 *n3 *r483 + 2*m1 *m2 *n1 *n2  *r483

              3   2   4   10   2            3   2   4   8   4
       - 13*m1 *m2 *n1 *n2  *n3 *r483 - 4*m1 *m2 *n1 *n2 *n3 *r483

             3   2   2   14            3   2   2   12   2
       + 2*m1 *m2 *n1 *n2  *r483 - 3*m1 *m2 *n1 *n2  *n3 *r483

              3   2   2   10   4            2   4   12   3
       - 12*m1 *m2 *n1 *n2  *n3 *r483 + 8*m1 *m2 *n1  *n2 *r496

             2   4   10   5             2   4   10   3   2
       - 7*m1 *m2 *n1  *n2 *r496 + 45*m1 *m2 *n1  *n2 *n3 *r496

              2   4   8   7            2   4   8   5   2
       - 28*m1 *m2 *n1 *n2 *r496 - 9*m1 *m2 *n1 *n2 *n3 *r496

              2   4   8   3   4            2   4   6   9
       + 48*m1 *m2 *n1 *n2 *n3 *r496 - 2*m1 *m2 *n1 *n2 *r496

              2   4   6   7   2             2   4   6   5   4
       - 90*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   4   4   11             2   4   4   9   2
       + 12*m1 *m2 *n1 *n2  *r496 - 31*m1 *m2 *n1 *n2 *n3 *r496

              2   4   4   7   4          2   4   2   13
       - 70*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

             2   4   2   11   2            2   4   2   9   4
       + 7*m1 *m2 *n1 *n2  *n3 *r496 + 4*m1 *m2 *n1 *n2 *n3 *r496

             2   4   13   2            2   4   11   4
       + 2*m1 *m2 *n2  *n3 *r496 + 2*m1 *m2 *n2  *n3 *r496

           2   3   13   3            2   3   11   5
       - m1 *m2 *n1  *n2 *r483 + 2*m1 *m2 *n1  *n2 *r483

             2   3   11   3   2            2   3   9   7
       - 9*m1 *m2 *n1  *n2 *n3 *r483 + 7*m1 *m2 *n1 *n2 *r483

             2   3   9   5   2             2   3   9   3   4
       - 3*m1 *m2 *n1 *n2 *n3 *r483 - 12*m1 *m2 *n1 *n2 *n3 *r483

              2   3   7   7   2            2   3   7   5   4
       + 20*m1 *m2 *n1 *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2 *n3 *r483

             2   3   5   11            2   3   5   9   2
       - 7*m1 *m2 *n1 *n2  *r483 + 8*m1 *m2 *n1 *n2 *n3 *r483

              2   3   5   7   4            2   3   3   13
       + 20*m1 *m2 *n1 *n2 *n3 *r483 - 2*m1 *m2 *n1 *n2  *r483

              2   3   3   11   2            2   3   3   9   4
       - 11*m1 *m2 *n1 *n2  *n3 *r483 + 4*m1 *m2 *n1 *n2 *n3 *r483

           2   3      15            2   3      13   2
       + m1 *m2 *n1*n2  *r483 - 5*m1 *m2 *n1*n2  *n3 *r483

             2   3      11   4               5   11   4
       - 8*m1 *m2 *n1*n2  *n3 *r483 + 7*m1*m2 *n1  *n2 *r496

                5   9   6                5   9   4   2
       + 3*m1*m2 *n1 *n2 *r496 + 27*m1*m2 *n1 *n2 *n3 *r496

                 5   7   8                5   7   6   2
       - 13*m1*m2 *n1 *n2 *r496 + 10*m1*m2 *n1 *n2 *n3 *r496

                 5   7   4   4               5   5   10
       + 22*m1*m2 *n1 *n2 *n3 *r496 - 7*m1*m2 *n1 *n2  *r496

                 5   5   8   2               5   5   6   4
       - 37*m1*m2 *n1 *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *n3 *r496

                5   3   12                5   3   10   2
       + 2*m1*m2 *n1 *n2  *r496 - 20*m1*m2 *n1 *n2  *n3 *r496

                 5   3   8   4               4   12   4
       - 26*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1  *n2 *r483

                4   10   6               4   10   4   2
       - 2*m1*m2 *n1  *n2 *r483 - 9*m1*m2 *n1  *n2 *n3 *r483

                4   8   8                4   8   6   2
       + 4*m1*m2 *n1 *n2 *r483 - 11*m1*m2 *n1 *n2 *n3 *r483

                4   8   4   4               4   6   10
       - 8*m1*m2 *n1 *n2 *n3 *r483 + 4*m1*m2 *n1 *n2  *r483

                4   6   8   2               4   6   6   4
       + 9*m1*m2 *n1 *n2 *n3 *r483 - 6*m1*m2 *n1 *n2 *n3 *r483

                4   4   12                4   4   10   2
       - 2*m1*m2 *n1 *n2  *r483 + 13*m1*m2 *n1 *n2  *n3 *r483

                 4   4   8   4               4   2   14
       + 10*m1*m2 *n1 *n2 *n3 *r483 - 2*m1*m2 *n1 *n2  *r483

                4   2   10   4               4   14   2
       + 6*m1*m2 *n1 *n2  *n3 *r483 - 2*m1*m2 *n2  *n3 *r483

                4   12   4            6   10   5            6   8   7
       - 2*m1*m2 *n2  *n3 *r483 + 2*m2 *n1  *n2 *r496 + 2*m2 *n1 *n2 *r496

             6   8   5   2            6   6   9            6   6   7   2
       + 6*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2 *r496 + 4*m2 *n1 *n2 *n3 *r496

             6   6   5   4            6   4   11            6   4   9   2
       + 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *r496 - 6*m2 *n1 *n2 *n3 *r496

             6   2   11   2            6   2   9   4          5   11   5
       - 4*m2 *n1 *n2  *n3 *r496 - 4*m2 *n1 *n2 *n3 *r496 - m2 *n1  *n2 *r483

             5   9   7            5   9   5   2            5   7   7   2
       - 2*m2 *n1 *n2 *r483 - 3*m2 *n1 *n2 *n3 *r483 - 5*m2 *n1 *n2 *n3 *r483

             5   7   5   4            5   5   11          5   5   9   2
       - 2*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1 *n2  *r483 + m2 *n1 *n2 *n3 *r483

             5   5   7   4          5   3   13            5   3   11   2
       - 2*m2 *n1 *n2 *n3 *r483 + m2 *n1 *n2  *r483 + 5*m2 *n1 *n2  *n3 *r483

             5   3   9   4            5      13   2
       + 2*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1*n2  *n3 *r483

             5      11   4                5   10   3   2           5   10      4
       + 2*m2 *n1*n2  *n3 *r483)/(2*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1  *n2*n3

              5   8   5   2           5   8   3   4           5   6   7   2
    + 2*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3

              5   6   5   4           5   4   9   2           5   4   7   4
    + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3

              4      11   4           4      11   2   2           4      11   4
    + 2*a33*m1 *m2*n1  *n2  - 8*a33*m1 *m2*n1  *n2 *n3  + 4*a33*m1 *m2*n1  *n3

              4      9   6           4      9   4   2
    + 4*a33*m1 *m2*n1 *n2  - 6*a33*m1 *m2*n1 *n2 *n3

               4      9   2   4            4      7   6   2
    - 12*a33*m1 *m2*n1 *n2 *n3  + 10*a33*m1 *m2*n1 *n2 *n3

               4      7   4   4           4      5   10
    - 20*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

              4      5   8   2            4      5   6   4
    + 6*a33*m1 *m2*n1 *n2 *n3  + 12*a33*m1 *m2*n1 *n2 *n3

              4      3   12           4      3   10   2
    - 2*a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

               4      3   8   4           3   2   12   3
    + 16*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2 *n1  *n2

              3   2   12      2           3   2   10   5
    + 6*a33*m1 *m2 *n1  *n2*n3  - 4*a33*m1 *m2 *n1  *n2

               3   2   10   3   2            3   2   10      4
    - 14*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

              3   2   8   7            3   2   8   5   2
    + 8*a33*m1 *m2 *n1 *n2  - 32*a33*m1 *m2 *n1 *n2 *n3

              3   2   8   3   4           3   2   6   9
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

              3   2   6   7   2            3   2   6   5   4
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   11            3   2   4   9   2
    - 4*a33*m1 *m2 *n1 *n2   + 26*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   7   4           3   2   2   13
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

              3   2   2   11   2            3   2   2   9   4
    + 6*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

              2   3   13   2           2   3   11   4
    + 2*a33*m1 *m2 *n1  *n2  - 4*a33*m1 *m2 *n1  *n2

               2   3   11   2   2            2   3   9   6
    + 18*a33*m1 *m2 *n1  *n2 *n3  - 14*a33*m1 *m2 *n1 *n2

              2   3   9   4   2            2   3   9   2   4
    + 6*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

               2   3   7   6   2           2   3   7   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   10            2   3   5   8   2
    + 14*a33*m1 *m2 *n1 *n2   - 16*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   6   4           2   3   3   12
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1 *n2

               2   3   3   10   2           2   3   3   8   4
    + 22*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2 *n3

              2   3      14            2   3      12   2
    - 2*a33*m1 *m2 *n1*n2   + 10*a33*m1 *m2 *n1*n2  *n3

               2   3      10   4              4   12   3              4   10   5
    + 16*a33*m1 *m2 *n1*n2  *n3  + 4*a33*m1*m2 *n1  *n2  + 4*a33*m1*m2 *n1  *n2

                  4   10   3   2              4   8   7
    + 18*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1 *n2

                  4   8   5   2               4   8   3   4
    + 22*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                 4   6   9               4   6   7   2
    - 8*a33*m1*m2 *n1 *n2  - 18*a33*m1*m2 *n1 *n2 *n3

                  4   6   5   4              4   4   11
    + 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n1 *n2

                  4   4   9   2               4   4   7   4
    - 26*a33*m1*m2 *n1 *n2 *n3  - 20*a33*m1*m2 *n1 *n2 *n3

                 4   2   13               4   2   9   4              4   13   2
    + 4*a33*m1*m2 *n1 *n2   - 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n2  *n3

                 4   11   4           5   11   4           5   9   6
    + 4*a33*m1*m2 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1 *n2

              5   9   4   2            5   7   6   2           5   7   4   4
    + 6*a33*m2 *n1 *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   5   10           5   5   8   2           5   5   6   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   3   12            5   3   10   2           5   3   8   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2 *n3

              5      12   2           5      10   4
    - 4*a33*m2 *n1*n2  *n3  - 4*a33*m2 *n1*n2  *n3 )


           2   10   9   6   2              2   10   9   4   4
r326=(8*a33 *m1  *n1 *n2 *n3 *r214 - 16*a33 *m1  *n1 *n2 *n3 *r214

              2   10   7   8   2              2   10   7   6   4
       + 8*a33 *m1  *n1 *n2 *n3 *r214 - 16*a33 *m1  *n1 *n2 *n3 *r214

              2   9      10   7              2   9      10   5   2
       + 8*a33 *m1 *m2*n1  *n2 *r214 - 52*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   9      10   3   4              2   9      8   9
       + 56*a33 *m1 *m2*n1  *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *r214

               2   9      8   7   2              2   9      8   5   4
       - 24*a33 *m1 *m2*n1 *n2 *n3 *r214 - 48*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   9      6   11              2   9      6   9   2
       + 8*a33 *m1 *m2*n1 *n2  *r214 + 28*a33 *m1 *m2*n1 *n2 *n3 *r214

                2   9      6   7   4             2   9   11   5   2
       - 104*a33 *m1 *m2*n1 *n2 *n3 *r214 + 4*a33 *m1 *n1  *n2 *n3 *r216

              2   9   11   3   4             2   9   9   7   2
       - 8*a33 *m1 *n1  *n2 *n3 *r216 + 8*a33 *m1 *n1 *n2 *n3 *r216

               2   9   9   5   4             2   9   7   9   2
       - 16*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   9   7   7   4              2   8   2   11   6
       - 8*a33 *m1 *n1 *n2 *n3 *r216 - 36*a33 *m1 *m2 *n1  *n2 *r214

                2   8   2   11   4   2              2   8   2   11   2   4
       + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 72*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   2   9   8               2   8   2   9   6   2
       - 36*a33 *m1 *m2 *n1 *n2 *r214 - 108*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   2   9   4   4              2   8   2   7   10
       + 288*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 36*a33 *m1 *m2 *n1 *n2  *r214

                2   8   2   7   8   2              2   8   2   7   6   4
       - 216*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   2   5   12              2   8   2   5   10   2
       + 36*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   2   5   8   4             2   8      12   6
       - 288*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2*n1  *n2 *r216

               2   8      12   4   2              2   8      12   2   4
       - 22*a33 *m1 *m2*n1  *n2 *n3 *r216 + 20*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      10   8              2   8      10   6   2
       + 12*a33 *m1 *m2*n1  *n2 *r216 - 30*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      10   4   4              2   8      8   10
       - 12*a33 *m1 *m2*n1  *n2 *n3 *r216 + 12*a33 *m1 *m2*n1 *n2  *r216

              2   8      8   8   2              2   8      8   6   4
       + 6*a33 *m1 *m2*n1 *n2 *n3 *r216 - 84*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   8      6   12              2   8      6   10   2
       + 4*a33 *m1 *m2*n1 *n2  *r216 + 14*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   8      6   8   4              2   7   3   12   5
       - 52*a33 *m1 *m2*n1 *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1  *n2 *r214

                2   7   3   12   3   2              2   7   3   12      4
       - 128*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 40*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   3   10   7               2   7   3   10   5   2
       - 32*a33 *m1 *m2 *n1  *n2 *r214 + 448*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   3   10   3   4               2   7   3   8   9
       - 416*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2 *r214

                2   7   3   8   7   2               2   7   3   8   5   4
       + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 528*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   3   6   11               2   7   3   6   9   2
       - 32*a33 *m1 *m2 *n1 *n2  *r214 - 416*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   3   6   7   4              2   7   3   4   13
       + 544*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2  *r214

               2   7   3   4   11   2               2   7   3   4   9   4
       - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 440*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   2   13   5              2   7   2   13   3   2
       - 14*a33 *m1 *m2 *n1  *n2 *r216 + 38*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   13      4              2   7   2   11   7
       - 16*a33 *m1 *m2 *n1  *n2*n3 *r216 - 24*a33 *m1 *m2 *n1  *n2 *r216

               2   7   2   11   5   2              2   7   2   11   3   4
       - 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   9   9               2   7   2   9   7   2
       + 12*a33 *m1 *m2 *n1 *n2 *r216 - 156*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   2   9   5   4              2   7   2   7   11
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2  *r216

               2   7   2   7   9   2               2   7   2   7   7   4
       - 88*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 160*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   2   5   13             2   7   2   5   11   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   7   2   5   9   4              2   6   4   13   4
       - 144*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 56*a33 *m1 *m2 *n1  *n2 *r214

               2   6   4   13   2   2             2   6   4   13   4
       + 64*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1  *n3 *r214

                2   6   4   11   6               2   6   4   11   4   2
       + 168*a33 *m1 *m2 *n1  *n2 *r214 - 576*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   4   11   2   4               2   6   4   9   8
       + 240*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 224*a33 *m1 *m2 *n1 *n2 *r214

                2   6   4   9   6   2               2   6   4   9   4   4
       + 416*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 976*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   4   7   10               2   6   4   7   8   2
       - 224*a33 *m1 *m2 *n1 *n2  *r214 + 976*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   4   7   6   4               2   6   4   5   12
       + 256*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 168*a33 *m1 *m2 *n1 *n2  *r214

                2   6   4   5   10   2                2   6   4   5   8   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1080*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   4   3   14               2   6   4   3   12   2
       + 56*a33 *m1 *m2 *n1 *n2  *r214 - 160*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   4   3   10   4              2   6   3   14   4
       - 400*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 18*a33 *m1 *m2 *n1  *n2 *r216

               2   6   3   14   2   2             2   6   3   14   4
       - 26*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

              2   6   3   12   6               2   6   3   12   4   2
       - 8*a33 *m1 *m2 *n1  *n2 *r216 + 136*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   3   12   2   4               2   6   3   10   8
       - 92*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 100*a33 *m1 *m2 *n1  *n2 *r216

                2   6   3   10   6   2               2   6   3   10   4   4
       + 188*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 152*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   3   8   10               2   6   3   8   8   2
       - 72*a33 *m1 *m2 *n1 *n2  *r216 - 176*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   3   8   6   4              2   6   3   6   12
       + 376*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 34*a33 *m1 *m2 *n1 *n2  *r216

                2   6   3   6   10   2              2   6   3   6   8   4
       - 242*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 92*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   3   4   14              2   6   3   4   12   2
       + 32*a33 *m1 *m2 *n1 *n2  *r216 - 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   3   4   10   4              2   5   5   14   3
       - 220*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1  *n2 *r214

               2   5   5   14      2               2   5   5   12   5
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 192*a33 *m1 *m2 *n1  *n2 *r214

                2   5   5   12   3   2              2   5   5   12      4
       + 312*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   5   10   7               2   5   5   10   5   2
       + 24*a33 *m1 *m2 *n1  *n2 *r214 - 948*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   5   10   3   4               2   5   5   8   9
       + 600*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 480*a33 *m1 *m2 *n1 *n2 *r214

                2   5   5   8   7   2                2   5   5   8   5   4
       - 432*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 1152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   5   6   11                2   5   5   6   9   2
       + 24*a33 *m1 *m2 *n1 *n2  *r214 + 1140*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   5   6   7   4               2   5   5   4   13
       - 480*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2  *r214

                2   5   5   4   11   2                2   5   5   4   9   4
       + 168*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1104*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   5   2   15               2   5   5   2   13   2
       + 24*a33 *m1 *m2 *n1 *n2  *r214 - 132*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   5   2   11   4              2   5   4   15   3
       - 216*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 10*a33 *m1 *m2 *n1  *n2 *r216

              2   5   4   15      2              2   5   4   13   5
       + 6*a33 *m1 *m2 *n1  *n2*n3 *r216 + 48*a33 *m1 *m2 *n1  *n2 *r216

                2   5   4   13   3   2              2   5   4   13      4
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   5   4   11   7               2   5   4   11   5   2
       + 96*a33 *m1 *m2 *n1  *n2 *r216 + 108*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   4   11   3   4              2   5   4   9   9
       - 216*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *r216

                2   5   4   9   7   2              2   5   4   9   5   4
       + 520*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   7   11               2   5   4   7   9   2
       - 162*a33 *m1 *m2 *n1 *n2  *r216 + 126*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   7   7   4              2   5   4   5   13
       + 576*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2  *r216

                2   5   4   5   11   2               2   5   4   5   9   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   4   3   15              2   5   4   3   13   2
       + 28*a33 *m1 *m2 *n1 *n2  *r216 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   4   3   11   4             2   4   6   15   2
       - 200*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   4   6   13   4              2   4   6   13   2   2
       + 92*a33 *m1 *m2 *n1  *n2 *r214 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   11   6               2   4   6   11   4   2
       - 204*a33 *m1 *m2 *n1  *n2 *r214 + 600*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   11   2   4               2   4   6   9   8
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 300*a33 *m1 *m2 *n1 *n2 *r214

                2   4   6   9   6   2               2   4   6   9   4   4
       - 580*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 800*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   6   7   10                2   4   6   7   8   2
       + 300*a33 *m1 *m2 *n1 *n2  *r214 - 1120*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   6   7   6   4               2   4   6   5   12
       - 640*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 204*a33 *m1 *m2 *n1 *n2  *r214

                2   4   6   5   10   2               2   4   6   5   8   4
       + 468*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 864*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   6   3   14               2   4   6   3   12   2
       - 92*a33 *m1 *m2 *n1 *n2  *r214 + 296*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   6   3   10   4             2   4   6      16
       + 632*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   4   6      14   2              2   4   6      12   4
       - 52*a33 *m1 *m2 *n1*n2  *n3 *r214 - 64*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   4   5   16   2              2   4   5   14   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 36*a33 *m1 *m2 *n1  *n2 *r216

               2   4   5   14   2   2              2   4   5   12   6
       + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2 *r216

                2   4   5   12   4   2              2   4   5   12   2   4
       - 210*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   10   8               2   4   5   10   6   2
       + 180*a33 *m1 *m2 *n1  *n2 *r216 - 170*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   10   4   4              2   4   5   8   10
       - 260*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 90*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   8   8   2               2   4   5   8   6   4
       + 480*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 240*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   4   5   6   12               2   4   5   6   10   2
       - 108*a33 *m1 *m2 *n1 *n2  *r216 + 414*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   5   6   8   4              2   4   5   4   14
       + 432*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 56*a33 *m1 *m2 *n1 *n2  *r216

               2   4   5   4   12   2               2   4   5   4   10   4
       - 62*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 244*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   5   2   16              2   4   5   2   14   2
       + 12*a33 *m1 *m2 *n1 *n2  *r216 - 66*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   5   2   12   4              2   3   7   14   3
       - 108*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   12   5               2   3   7   12   3   2
       + 128*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   7   10   7               2   3   7   10   5   2
       - 16*a33 *m1 *m2 *n1  *n2 *r214 + 560*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   7   10   3   4               2   3   7   8   9
       - 160*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 320*a33 *m1 *m2 *n1 *n2 *r214

                2   3   7   8   7   2               2   3   7   8   5   4
       + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 600*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   7   6   11               2   3   7   6   9   2
       - 16*a33 *m1 *m2 *n1 *n2  *r214 - 800*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   7   6   7   4               2   3   7   4   13
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 128*a33 *m1 *m2 *n1 *n2  *r214

               2   3   7   4   11   2               2   3   7   4   9   4
       - 88*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 592*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   7   2   15               2   3   7   2   13   2
       - 16*a33 *m1 *m2 *n1 *n2  *r214 + 144*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   7   2   11   4             2   3   7   15   2
       + 192*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2  *n3 *r214

              2   3   7   13   4             2   3   6   15   3
       - 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n1  *n2 *r216

               2   3   6   13   5              2   3   6   13   3   2
       - 44*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   6   11   7               2   3   6   11   5   2
       - 72*a33 *m1 *m2 *n1  *n2 *r216 - 160*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   6   11   3   4              2   3   6   9   9
       + 80*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 90*a33 *m1 *m2 *n1 *n2 *r216

                2   3   6   9   7   2               2   3   6   9   5   4
       - 370*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 160*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   7   11              2   3   6   7   9   2
       + 144*a33 *m1 *m2 *n1 *n2  *r216 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   7   7   4               2   3   6   5   11   2
       - 320*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 320*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   6   5   9   4              2   3   6   3   15
       + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2  *r216

               2   3   6   3   13   2               2   3   6   3   11   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 176*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   6      17              2   3   6      15   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 26*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   6      13   4              2   2   8   13   4
       - 32*a33 *m1 *m2 *n1*n2  *n3 *r216 - 24*a33 *m1 *m2 *n1  *n2 *r214

               2   2   8   11   6               2   2   8   11   4   2
       + 72*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   2   8   9   8               2   2   8   9   6   2
       + 96*a33 *m1 *m2 *n1 *n2 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   2   8   9   4   4              2   2   8   7   10
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 96*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   7   8   2               2   2   8   7   6   4
       + 312*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   8   5   12               2   2   8   5   10   2
       - 72*a33 *m1 *m2 *n1 *n2  *r214 - 192*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   2   8   5   8   4              2   2   8   3   14
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   3   12   2               2   2   8   3   10   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   8      14   2              2   2   8      12   4
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 24*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   2   7   14   4              2   2   7   12   6
       + 12*a33 *m1 *m2 *n1  *n2 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r216

               2   2   7   12   4   2              2   2   7   10   8
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 78*a33 *m1 *m2 *n1  *n2 *r216

               2   2   7   10   6   2              2   2   7   10   4   4
       - 30*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   2   7   8   10               2   2   7   8   8   2
       - 24*a33 *m1 *m2 *n1 *n2  *r216 - 252*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   7   8   6   4              2   2   7   6   12
       - 36*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 56*a33 *m1 *m2 *n1 *n2  *r216

                2   2   7   6   10   2               2   2   7   6   8   4
       - 124*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 184*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   7   4   14              2   2   7   4   12   2
       + 24*a33 *m1 *m2 *n1 *n2  *r216 + 84*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   7   4   10   4             2   2   7   2   16
       - 24*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

               2   2   7   2   14   2              2   2   7   2   12   4
       + 42*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   7   16   2             2   2   7   14   4
       - 4*a33 *m1 *m2 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n2  *n3 *r216

               2      9   12   5             2      9   10   7
       - 16*a33 *m1*m2 *n1  *n2 *r214 + 8*a33 *m1*m2 *n1  *n2 *r214

               2      9   10   5   2              2      9   8   9
       - 60*a33 *m1*m2 *n1  *n2 *n3 *r214 + 48*a33 *m1*m2 *n1 *n2 *r214

               2      9   8   7   2              2      9   8   5   4
       + 24*a33 *m1*m2 *n1 *n2 *n3 *r214 - 48*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      9   6   11               2      9   6   9   2
       + 8*a33 *m1*m2 *n1 *n2  *r214 + 124*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      9   6   7   4              2      9   4   13
       + 40*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2  *r214

               2      9   4   11   2              2      9   4   9   4
       + 16*a33 *m1*m2 *n1 *n2  *n3 *r214 + 64*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      9   2   13   2              2      9   2   11   4
       - 24*a33 *m1*m2 *n1 *n2  *n3 *r214 - 24*a33 *m1*m2 *n1 *n2  *n3 *r214

              2      8   13   5             2      8   11   7
       + 8*a33 *m1*m2 *n1  *n2 *r216 + 6*a33 *m1*m2 *n1  *n2 *r216

               2      8   11   5   2              2      8   9   9
       + 30*a33 *m1*m2 *n1  *n2 *n3 *r216 - 24*a33 *m1*m2 *n1 *n2 *r216

               2      8   9   7   2              2      8   9   5   4
       + 24*a33 *m1*m2 *n1 *n2 *n3 *r216 + 24*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      8   7   11              2      8   7   9   2
       - 28*a33 *m1*m2 *n1 *n2  *r216 - 64*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      8   7   7   4              2      8   5   11   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 72*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   5   9   4             2      8   3   15
       - 48*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2  *r216

              2      8   3   13   2              2      8   3   11   4
       - 6*a33 *m1*m2 *n1 *n2  *n3 *r216 - 24*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      8      15   2             2      8      13   4
       + 8*a33 *m1*m2 *n1*n2  *n3 *r216 + 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2   10   11   6             2   10   9   8
       - 4*a33 *m2  *n1  *n2 *r214 - 4*a33 *m2  *n1 *n2 *r214

               2   10   9   6   2             2   10   7   10
       - 12*a33 *m2  *n1 *n2 *n3 *r214 + 4*a33 *m2  *n1 *n2  *r214

              2   10   7   8   2             2   10   7   6   4
       - 8*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   10   5   12              2   10   5   10   2
       + 4*a33 *m2  *n1 *n2  *r214 + 12*a33 *m2  *n1 *n2  *n3 *r214

              2   10   3   12   2             2   10   3   10   4
       + 8*a33 *m2  *n1 *n2  *n3 *r214 + 8*a33 *m2  *n1 *n2  *n3 *r214

              2   9   12   6             2   9   10   8
       + 2*a33 *m2 *n1  *n2 *r216 + 4*a33 *m2 *n1  *n2 *r216

              2   9   10   6   2              2   9   8   8   2
       + 6*a33 *m2 *n1  *n2 *n3 *r216 + 10*a33 *m2 *n1 *n2 *n3 *r216

              2   9   8   6   4             2   9   6   12
       + 4*a33 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2  *r216

              2   9   6   10   2             2   9   6   8   4
       - 2*a33 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

              2   9   4   14              2   9   4   12   2
       - 2*a33 *m2 *n1 *n2  *r216 - 10*a33 *m2 *n1 *n2  *n3 *r216

              2   9   4   10   4             2   9   2   14   2
       - 4*a33 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2  *n3 *r216

              2   9   2   12   4            9   13   5   2
       - 4*a33 *m2 *n1 *n2  *n3 *r216 - 4*m1 *n1  *n2 *n3 *r496

             9   13   3   4            9   11   7   2
       + 8*m1 *n1  *n2 *n3 *r496 - 2*m1 *n1  *n2 *n3 *r496

             9   11   5   4            9   9   9   2
       + 4*m1 *n1  *n2 *n3 *r496 + 8*m1 *n1 *n2 *n3 *r496

              9   9   7   4            9   7   11   2
       - 16*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2  *n3 *r496

              9   7   9   4            8      14   6
       - 12*m1 *n1 *n2 *n3 *r496 - 4*m1 *m2*n1  *n2 *r496

              8      14   4   2             8      14   2   4
       + 22*m1 *m2*n1  *n2 *n3 *r496 - 20*m1 *m2*n1  *n2 *n3 *r496

             8      12   8          8      12   6   2
       - 6*m1 *m2*n1  *n2 *r496 - m1 *m2*n1  *n2 *n3 *r496

              8      12   4   4            8      10   10
       + 38*m1 *m2*n1  *n2 *n3 *r496 + 6*m1 *m2*n1  *n2  *r496

              8      10   8   2             8      10   6   4
       - 45*m1 *m2*n1  *n2 *n3 *r496 + 54*m1 *m2*n1  *n2 *n3 *r496

              8      8   12          8      8   10   2
       + 14*m1 *m2*n1 *n2  *r496 + m1 *m2*n1 *n2  *n3 *r496

              8      8   8   4            8      6   14
       - 86*m1 *m2*n1 *n2 *n3 *r496 + 6*m1 *m2*n1 *n2  *r496

              8      6   12   2             8      6   10   4
       + 23*m1 *m2*n1 *n2  *n3 *r496 - 82*m1 *m2*n1 *n2  *n3 *r496

              7   2   15   5             7   2   15   3   2
       + 14*m1 *m2 *n1  *n2 *r496 - 37*m1 *m2 *n1  *n2 *n3 *r496

              7   2   15      4            7   2   13   7
       + 14*m1 *m2 *n1  *n2*n3 *r496 + 5*m1 *m2 *n1  *n2 *r496

              7   2   13   5   2              7   2   13   3   4
       + 75*m1 *m2 *n1  *n2 *n3 *r496 - 120*m1 *m2 *n1  *n2 *n3 *r496

              7   2   11   9              7   2   11   7   2
       - 40*m1 *m2 *n1  *n2 *r496 + 102*m1 *m2 *n1  *n2 *n3 *r496

              7   2   11   5   4             7   2   9   11
       + 36*m1 *m2 *n1  *n2 *n3 *r496 - 10*m1 *m2 *n1 *n2  *r496

               7   2   9   9   2              7   2   9   7   4
       - 154*m1 *m2 *n1 *n2 *n3 *r496 + 248*m1 *m2 *n1 *n2 *n3 *r496

              7   2   7   13              7   2   7   11   2
       + 50*m1 *m2 *n1 *n2  *r496 - 129*m1 *m2 *n1 *n2  *n3 *r496

               7   2   7   9   4             7   2   5   15
       - 162*m1 *m2 *n1 *n2 *n3 *r496 + 29*m1 *m2 *n1 *n2  *r496

              7   2   5   13   2              7   2   5   11   4
       + 15*m1 *m2 *n1 *n2  *n3 *r496 - 240*m1 *m2 *n1 *n2  *n3 *r496

              6   3   16   4             6   3   16   2   2
       - 17*m1 *m2 *n1  *n2 *r496 + 22*m1 *m2 *n1  *n2 *n3 *r496

             6   3   16   4             6   3   14   6
       - 2*m1 *m2 *n1  *n3 *r496 + 34*m1 *m2 *n1  *n2 *r496

               6   3   14   4   2             6   3   14   2   4
       - 174*m1 *m2 *n1  *n2 *n3 *r496 + 90*m1 *m2 *n1  *n2 *n3 *r496

              6   3   12   8            6   3   12   6   2
       + 82*m1 *m2 *n1  *n2 *r496 + 4*m1 *m2 *n1  *n2 *n3 *r496

               6   3   12   4   4             6   3   10   10
       - 290*m1 *m2 *n1  *n2 *n3 *r496 - 72*m1 *m2 *n1  *n2  *r496

               6   3   10   8   2              6   3   10   6   4
       + 376*m1 *m2 *n1  *n2 *n3 *r496 - 140*m1 *m2 *n1  *n2 *n3 *r496

               6   3   8   12              6   3   8   10   2
       - 113*m1 *m2 *n1 *n2  *r496 - 126*m1 *m2 *n1 *n2  *n3 *r496

               6   3   8   8   4             6   3   6   14
       + 570*m1 *m2 *n1 *n2 *n3 *r496 + 46*m1 *m2 *n1 *n2  *r496

               6   3   6   12   2             6   3   6   10   4
       - 362*m1 *m2 *n1 *n2  *n3 *r496 - 62*m1 *m2 *n1 *n2  *n3 *r496

              6   3   4   16             6   3   4   14   2
       + 56*m1 *m2 *n1 *n2  *r496 - 60*m1 *m2 *n1 *n2  *n3 *r496

               6   3   4   12   4            5   4   17   3
       - 390*m1 *m2 *n1 *n2  *n3 *r496 + 8*m1 *m2 *n1  *n2 *r496

             5   4   17      2             5   4   15   5
       - 3*m1 *m2 *n1  *n2*n3 *r496 - 63*m1 *m2 *n1  *n2 *r496

               5   4   15   3   2             5   4   15      4
       + 117*m1 *m2 *n1  *n2 *n3 *r496 - 12*m1 *m2 *n1  *n2*n3 *r496

              5   4   13   7              5   4   13   5   2
       - 24*m1 *m2 *n1  *n2 *r496 - 294*m1 *m2 *n1  *n2 *n3 *r496

               5   4   13   3   4              5   4   11   9
       + 246*m1 *m2 *n1  *n2 *n3 *r496 + 188*m1 *m2 *n1  *n2 *r496

               5   4   11   7   2              5   4   11   5   4
       - 334*m1 *m2 *n1  *n2 *n3 *r496 - 340*m1 *m2 *n1  *n2 *n3 *r496

              5   4   9   11              5   4   9   9   2
       + 12*m1 *m2 *n1 *n2  *r496 + 577*m1 *m2 *n1 *n2 *n3 *r496

               5   4   9   7   4              5   4   7   13
       - 476*m1 *m2 *n1 *n2 *n3 *r496 - 219*m1 *m2 *n1 *n2  *r496

               5   4   7   11   2              5   4   7   9   4
       + 237*m1 *m2 *n1 *n2  *n3 *r496 + 732*m1 *m2 *n1 *n2 *n3 *r496

              5   4   5   15              5   4   5   13   2
       - 36*m1 *m2 *n1 *n2  *r496 - 400*m1 *m2 *n1 *n2  *n3 *r496

               5   4   5   11   4             5   4   3   17
       + 230*m1 *m2 *n1 *n2  *n3 *r496 + 54*m1 *m2 *n1 *n2  *r496

               5   4   3   15   2              5   4   3   13   4
       - 140*m1 *m2 *n1 *n2  *n3 *r496 - 380*m1 *m2 *n1 *n2  *n3 *r496

           4   5   18   2             4   5   16   4
       - m1 *m2 *n1  *n2 *r496 + 34*m1 *m2 *n1  *n2 *r496

              4   5   16   2   2             4   5   14   6
       - 15*m1 *m2 *n1  *n2 *n3 *r496 - 74*m1 *m2 *n1  *n2 *r496

               4   5   14   4   2             4   5   14   2   4
       + 255*m1 *m2 *n1  *n2 *n3 *r496 - 30*m1 *m2 *n1  *n2 *n3 *r496

               4   5   12   8              4   5   12   6   2
       - 154*m1 *m2 *n1  *n2 *r496 - 155*m1 *m2 *n1  *n2 *n3 *r496

               4   5   12   4   4              4   5   10   10
       + 370*m1 *m2 *n1  *n2 *n3 *r496 + 165*m1 *m2 *n1  *n2  *r496

               4   5   10   8   2              4   5   10   6   4
       - 645*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

               4   5   8   12              4   5   8   10   2
       + 174*m1 *m2 *n1 *n2  *r496 + 381*m1 *m2 *n1 *n2  *n3 *r496

               4   5   8   8   4              4   5   6   14
       - 672*m1 *m2 *n1 *n2 *n3 *r496 - 156*m1 *m2 *n1 *n2  *r496

               4   5   6   12   2              4   5   6   10   4
       + 583*m1 *m2 *n1 *n2  *n3 *r496 + 514*m1 *m2 *n1 *n2  *n3 *r496

              4   5   4   16              4   5   4   14   2
       - 94*m1 *m2 *n1 *n2  *r496 - 147*m1 *m2 *n1 *n2  *n3 *r496

               4   5   4   12   4             4   5   2   18
       + 414*m1 *m2 *n1 *n2  *n3 *r496 + 26*m1 *m2 *n1 *n2  *r496

               4   5   2   16   2              4   5   2   14   4
       - 129*m1 *m2 *n1 *n2  *n3 *r496 - 222*m1 *m2 *n1 *n2  *n3 *r496

             3   6   17   3             3   6   15   5
       - 4*m1 *m2 *n1  *n2 *r496 + 56*m1 *m2 *n1  *n2 *r496

              3   6   15   3   2            3   6   13   7
       - 30*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1  *n2 *r496

               3   6   13   5   2             3   6   13   3   4
       + 290*m1 *m2 *n1  *n2 *n3 *r496 - 40*m1 *m2 *n1  *n2 *n3 *r496

               3   6   11   9              3   6   11   7   2
       - 186*m1 *m2 *n1  *n2 *r496 + 135*m1 *m2 *n1  *n2 *n3 *r496

               3   6   11   5   4             3   6   9   11
       + 330*m1 *m2 *n1  *n2 *n3 *r496 + 21*m1 *m2 *n1 *n2  *r496

               3   6   9   9   2             3   6   9   7   4
       - 553*m1 *m2 *n1 *n2 *n3 *r496 + 80*m1 *m2 *n1 *n2 *n3 *r496

               3   6   7   13             3   6   7   11   2
       + 200*m1 *m2 *n1 *n2  *r496 - 16*m1 *m2 *n1 *n2  *n3 *r496

               3   6   7   9   4            3   6   5   15
       - 532*m1 *m2 *n1 *n2 *n3 *r496 - 8*m1 *m2 *n1 *n2  *r496

               3   6   5   13   2              3   6   5   11   4
       + 480*m1 *m2 *n1 *n2  *n3 *r496 + 144*m1 *m2 *n1 *n2  *n3 *r496

              3   6   3   17             3   6   3   15   2
       - 62*m1 *m2 *n1 *n2  *r496 + 71*m1 *m2 *n1 *n2  *n3 *r496

               3   6   3   13   4            3   6      19
       + 314*m1 *m2 *n1 *n2  *n3 *r496 + 5*m1 *m2 *n1*n2  *r496

              3   6      17   2             3   6      15   4
       - 57*m1 *m2 *n1*n2  *n3 *r496 - 72*m1 *m2 *n1*n2  *n3 *r496

             2   7   16   4             2   7   14   6
       - 6*m1 *m2 *n1  *n2 *r496 + 44*m1 *m2 *n1  *n2 *r496

              2   7   14   4   2             2   7   12   8
       - 30*m1 *m2 *n1  *n2 *n3 *r496 + 51*m1 *m2 *n1  *n2 *r496

               2   7   12   6   2             2   7   12   4   4
       + 180*m1 *m2 *n1  *n2 *n3 *r496 - 30*m1 *m2 *n1  *n2 *n3 *r496

              2   7   10   10              2   7   10   8   2
       - 90*m1 *m2 *n1  *n2  *r496 + 228*m1 *m2 *n1  *n2 *n3 *r496

               2   7   10   6   4             2   7   8   12
       + 174*m1 *m2 *n1  *n2 *n3 *r496 - 60*m1 *m2 *n1 *n2  *r496

               2   7   8   10   2              2   7   8   8   4
       - 230*m1 *m2 *n1 *n2  *n3 *r496 + 130*m1 *m2 *n1 *n2 *n3 *r496

              2   7   6   14              2   7   6   12   2
       + 84*m1 *m2 *n1 *n2  *r496 - 178*m1 *m2 *n1 *n2  *n3 *r496

               2   7   6   10   4             2   7   4   16
       - 244*m1 *m2 *n1 *n2  *n3 *r496 + 39*m1 *m2 *n1 *n2  *r496

               2   7   4   14   2             2   7   4   12   4
       + 156*m1 *m2 *n1 *n2  *n3 *r496 - 42*m1 *m2 *n1 *n2  *n3 *r496

              2   7   2   18             2   7   2   16   2
       - 14*m1 *m2 *n1 *n2  *r496 + 76*m1 *m2 *n1 *n2  *n3 *r496

               2   7   2   14   4             2   7   18   2
       + 118*m1 *m2 *n1 *n2  *n3 *r496 - 10*m1 *m2 *n2  *n3 *r496

              2   7   16   4               8   15   5
       - 10*m1 *m2 *n2  *n3 *r496 - 4*m1*m2 *n1  *n2 *r496

                 8   13   7                8   13   5   2
       + 16*m1*m2 *n1  *n2 *r496 - 15*m1*m2 *n1  *n2 *n3 *r496

                 8   11   9                8   11   7   2
       + 37*m1*m2 *n1  *n2 *r496 + 57*m1*m2 *n1  *n2 *n3 *r496

                 8   11   5   4                8   9   11
       - 12*m1*m2 *n1  *n2 *n3 *r496 - 12*m1*m2 *n1 *n2  *r496

                  8   9   9   2                8   9   7   4
       + 116*m1*m2 *n1 *n2 *n3 *r496 + 50*m1*m2 *n1 *n2 *n3 *r496

                 8   7   13                8   7   11   2
       - 38*m1*m2 *n1 *n2  *r496 - 36*m1*m2 *n1 *n2  *n3 *r496

                 8   7   9   4               8   5   15
       + 60*m1*m2 *n1 *n2 *n3 *r496 + 4*m1*m2 *n1 *n2  *r496

                 8   5   13   2                8   5   11   4
       - 99*m1*m2 *n1 *n2  *n3 *r496 - 60*m1*m2 *n1 *n2  *n3 *r496

                 8   3   17             8   3   15   2
       + 13*m1*m2 *n1 *n2  *r496 - m1*m2 *n1 *n2  *n3 *r496

                 8   3   13   4                8      17   2
       - 40*m1*m2 *n1 *n2  *n3 *r496 + 18*m1*m2 *n1*n2  *n3 *r496

                 8      15   4          9   14   6            9   12   8
       + 18*m1*m2 *n1*n2  *n3 *r496 - m2 *n1  *n2 *r496 + 2*m2 *n1  *n2 *r496

             9   12   6   2            9   10   10
       - 3*m2 *n1  *n2 *n3 *r496 + 8*m2 *n1  *n2  *r496

             9   10   8   2            9   10   6   4            9   8   12
       + 7*m2 *n1  *n2 *n3 *r496 - 2*m2 *n1  *n2 *n3 *r496 + 2*m2 *n1 *n2  *r496

              9   8   10   2            9   8   8   4            9   6   14
       + 21*m2 *n1 *n2  *n3 *r496 + 6*m2 *n1 *n2 *n3 *r496 - 7*m2 *n1 *n2  *r496

           9   6   12   2             9   6   10   4            9   4   16
       + m2 *n1 *n2  *n3 *r496 + 10*m2 *n1 *n2  *n3 *r496 - 4*m2 *n1 *n2  *r496

              9   4   14   2            9   4   12   4
       - 18*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1 *n2  *n3 *r496

             9   2   16   2            9   2   14   4
       - 8*m2 *n1 *n2  *n3 *r496 - 8*m2 *n1 *n2  *n3 *r496)/(

           9   12   5   2           9   12   3   4           9   10   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 4*a33*m1 *n1  *n2 *n3

              9   10   5   4           9   8   9   2           9   8   7   4
    - 8*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              9   6   11   2           9   6   9   4           8      13   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1  *n2

               8      13   4   2            8      13   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

              8      11   8            8      11   6   2
    + 8*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

               8      11   4   4            8      9   8   2
    - 24*a33*m1 *m2*n1  *n2 *n3  + 36*a33*m1 *m2*n1 *n2 *n3

               8      9   6   4           8      7   12
    - 72*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               8      7   10   2            8      7   8   4
    + 12*a33*m1 *m2*n1 *n2  *n3  + 24*a33*m1 *m2*n1 *n2 *n3

              8      5   14            8      5   12   2
    - 4*a33*m1 *m2*n1 *n2   - 12*a33*m1 *m2*n1 *n2  *n3

               8      5   10   4            7   2   14   5
    + 48*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   14   3   2            7   2   14      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               7   2   12   7            7   2   12   5   2
    - 16*a33*m1 *m2 *n1  *n2  - 48*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   3   4            7   2   10   9
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 32*a33*m1 *m2 *n1  *n2

                7   2   10   7   2            7   2   10   5   4
    - 144*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   8   11            7   2   8   9   2
    + 32*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2 *n3

                7   2   8   7   4            7   2   6   13
    - 240*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

               7   2   6   11   2            7   2   6   9   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2 *n3

               7   2   4   15             7   2   4   11   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   15   4            6   3   15   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   15   4            6   3   13   6
    + 8*a33*m1 *m2 *n1  *n3  - 16*a33*m1 *m2 *n1  *n2

                6   3   13   4   2             6   3   13   2   4
    + 176*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   8             6   3   11   6   2
    - 104*a33*m1 *m2 *n1  *n2  + 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   4   4             6   3   9   8   2
    + 208*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                6   3   9   6   4             6   3   7   12
    + 336*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

                6   3   7   10   2             6   3   7   8   4
    - 136*a33*m1 *m2 *n1 *n2  *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               6   3   5   14             6   3   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 160*a33*m1 *m2 *n1 *n2  *n3

                6   3   5   10   4            6   3   3   16
    - 200*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   14   2             6   3   3   12   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   16   3            5   4   16      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   14   5             5   4   14   3   2
    + 64*a33*m1 *m2 *n1  *n2  - 180*a33*m1 *m2 *n1  *n2 *n3

               5   4   14      4            5   4   12   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 96*a33*m1 *m2 *n1  *n2

                5   4   12   5   2             5   4   12   3   4
    + 156*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1  *n2 *n3

                5   4   10   9             5   4   10   7   2
    - 144*a33*m1 *m2 *n1  *n2  + 540*a33*m1 *m2 *n1  *n2 *n3

               5   4   10   5   4             5   4   8   11
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1 *n2

                5   4   8   9   2             5   4   8   7   4
    - 228*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

               5   4   6   13             5   4   6   11   2
    + 96*a33*m1 *m2 *n1 *n2   - 420*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   9   4            5   4   4   15
    - 240*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2

               5   4   4   13   2             5   4   4   11   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  - 360*a33*m1 *m2 *n1 *n2  *n3

               5   4   2   17            5   4   2   15   2
    - 16*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   2   13   4           4   5   17   2
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1  *n2

               4   5   15   4            4   5   15   2   2
    - 56*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               4   5   13   6             4   5   13   4   2
    + 16*a33*m1 *m2 *n1  *n2  - 300*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   2   4             4   5   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 216*a33*m1 *m2 *n1  *n2

                4   5   11   6   2             4   5   11   4   4
    - 180*a33*m1 *m2 *n1  *n2 *n3  - 360*a33*m1 *m2 *n1  *n2 *n3

                4   5   9   8   2             4   5   9   6   4
    + 660*a33*m1 *m2 *n1 *n2 *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

                4   5   7   12             4   5   7   10   2
    - 216*a33*m1 *m2 *n1 *n2   + 204*a33*m1 *m2 *n1 *n2  *n3

                4   5   7   8   4            4   5   5   14
    + 672*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                4   5   5   12   2            4   5   5   10   4
    - 396*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

               4   5   3   16            4   5   3   14   2
    + 56*a33*m1 *m2 *n1 *n2   - 84*a33*m1 *m2 *n1 *n2  *n3

                4   5   3   12   4           4   5      18
    - 312*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2

               4   5      16   2            4   5      14   4
    + 36*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

               3   6   16   3            3   6   14   5
    + 16*a33*m1 *m2 *n1  *n2  - 64*a33*m1 *m2 *n1  *n2

                3   6   14   3   2            3   6   12   7
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 96*a33*m1 *m2 *n1  *n2

                3   6   12   5   2             3   6   12   3   4
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   9             3   6   10   7   2
    + 144*a33*m1 *m2 *n1  *n2  - 440*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   5   4             3   6   8   11
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1 *n2

                3   6   8   9   2             3   6   8   7   4
    + 296*a33*m1 *m2 *n1 *n2 *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               3   6   6   13             3   6   6   11   2
    - 96*a33*m1 *m2 *n1 *n2   + 408*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   9   4            3   6   4   15
    + 336*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2

                3   6   4   13   2             3   6   4   11   4
    - 104*a33*m1 *m2 *n1 *n2  *n3  + 208*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   17            3   6   2   15   2
    + 16*a33*m1 *m2 *n1 *n2   - 88*a33*m1 *m2 *n1 *n2  *n3

                3   6   2   13   4           3   6   17   2
    - 136*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   15   4            2   7   15   4            2   7   13   6
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2

                2   7   13   4   2             2   7   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                2   7   11   4   4             2   7   9   8   2
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1 *n2 *n3

               2   7   9   6   4             2   7   7   12
    - 24*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

               2   7   7   10   2             2   7   7   8   4
    - 48*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

               2   7   5   14             2   7   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 216*a33*m1 *m2 *n1 *n2  *n3

               2   7   5   10   4            2   7   3   16
    + 48*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   7   3   14   2             2   7   3   12   4
    + 48*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

               2   7      16   2            2   7      14   4
    - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  8   14   5               8   12   7
    + 16*a33*m1*m2 *n1  *n2  + 16*a33*m1*m2 *n1  *n2

                  8   12   5   2               8   10   9
    + 60*a33*m1*m2 *n1  *n2 *n3  - 32*a33*m1*m2 *n1  *n2

                  8   10   7   2               8   10   5   4
    + 60*a33*m1*m2 *n1  *n2 *n3  + 48*a33*m1*m2 *n1  *n2 *n3

                  8   8   11               8   8   9   2
    - 32*a33*m1*m2 *n1 *n2   - 84*a33*m1*m2 *n1 *n2 *n3

                  8   8   7   4               8   6   13
    + 24*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2

                  8   6   11   2               8   6   9   4
    - 84*a33*m1*m2 *n1 *n2  *n3  - 72*a33*m1*m2 *n1 *n2 *n3

                  8   4   15               8   4   13   2
    + 16*a33*m1*m2 *n1 *n2   + 24*a33*m1*m2 *n1 *n2  *n3

                  8   4   11   4               8   2   15   2
    - 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                  8   2   13   4           9   13   6           9   11   8
    + 24*a33*m1*m2 *n1 *n2  *n3  + 4*a33*m2 *n1  *n2  + 8*a33*m2 *n1  *n2

               9   11   6   2            9   9   8   2           9   9   6   4
    + 12*a33*m2 *n1  *n2 *n3  + 20*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3

              9   7   12           9   7   10   2           9   7   8   4
    - 8*a33*m2 *n1 *n2   - 4*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3

              9   5   14            9   5   12   2           9   5   10   4
    - 4*a33*m2 *n1 *n2   - 20*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   14   2           9   3   12   4
    - 8*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3 )


           2   6   6   4   3             2   6   6   2   5
r328=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   3             2   6   4   4   5
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5                 2   5      7   3   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      5             2   5      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   5   3              2   5      5   3   5
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9                2   5      3   7   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   5             2   5   8   3   3
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      5             2   5   6   5   3
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   5             2   5   4   7   3
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   5              2   4   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   2   3             2   4   2   8   5
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6                 2   4   2   6   4   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   5             2   4   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   6   3              2   4   2   4   4   5
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10                 2   4   2   2   8   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   5             2   4      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   2   3             2   4      9   5
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6                 2   4      7   4   3
       + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   5             2   4      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   6   3              2   4      5   4   5
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10                2   4      3   8   3
       + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   5              2   3   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9      3              2   3   3   7   3   3
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      5              2   3   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   5   3              2   3   3   5   3   5
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9                 2   3   3   3   7   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   5             2   3   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      9   3              2   3   3      7   5
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3                2   3   2   10      3
       - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5                2   3   2   8   3   3
       - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      5              2   3   2   6   5   3
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   5             2   3   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   4   7   3              2   3   2   4   5   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11                2   3   2   2   9   3
       + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   5             2   2   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   4                 2   2   4   8   2   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6                 2   2   4   6   4   3
       + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   5              2   2   4   4   6   3
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   5              2   2   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   8   3              2   2   4   2   6   5
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2                2   2   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   2   3              2   2   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   4   3              2   2   3   7   2   5
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8                 2   2   3   5   6   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   5             2   2   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   8   3             2   2   3   3   6   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12                 2   2   3      10   3
       + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   5             2      5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   5                 2      5   7   3   3
       - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7                 2      5   5   5   3
       + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   5              2      5   3   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   3   7   3              2      5   3   5   5
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   3              2      5      7   5
       + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3                2      4   8   5
       + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   3   3              2      4   6   5   3
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   5             2      4   4   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   4   7   3              2      4   4   5   5
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11                2      4   2   9   3
       - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   5             2      4   11   3
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   5             2   6   8   4
       - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   6                 2   6   6   4   3
       - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8                 2   6   4   6   3
       - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   5             2   6   2   8   3
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   5             2   5   9   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   6                2   5   7   4   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8                 2   5   5   6   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   5             2   5   3   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   8   3             2   5   3   6   5
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   3             2   5      8   5
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

           5   8   5   3            5   8   3   5            5   6   7   3
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   6   5   5          5   4   9   3            5   4   7   5
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      11   2   3            4      11   5
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

           4      9   6             4      9   4   3
       + m1 *m2*n1 *n2 *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

             4      9   2   5            4      7   8
       - 4*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *n3*r496

             4      7   6   3             4      7   4   5
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      5   10             4      5   8   3
       + 3*m1 *m2*n1 *n2  *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

              4      5   6   5          4      3   12
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *n3*r496

           4      3   10   3            4      3   8   5
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   3               3   2   12      3
       + m1 *m2 *n1  *n2 *n3*r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5               3   2   10   3   3
       + 2*m1 *m2 *n1  *n2 *n3*r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      5            3   2   8   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1 *n2 *n3*r496

              3   2   8   5   3             3   2   8   3   5
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   9                3   2   6   7   3
       + 4*m1 *m2 *n1 *n2 *n3*r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   5            3   2   4   11
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *n3*r496

              3   2   4   9   3             3   2   4   7   5
       - 15*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13               3   2   2   11   3
       + 2*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   5          2   3   13   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

           2   3   11   4               2   3   11   2   3
       - m1 *m2 *n1  *n2 *n3*r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   9   6                2   3   9   4   3
       + m1 *m2 *n1 *n2 *n3*r496 - 21*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   5             2   3   7   6   3
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   5          2   3   5   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *n3*r496

              2   3   5   8   3             2   3   5   6   5
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   3   12                2   3   3   10   3
       + m1 *m2 *n1 *n2  *n3*r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   5          2   3      14
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *n3*r496

             2   3      12   3            2   3      10   5
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3                  4   10   5
       - 2*m1*m2 *n1  *n2 *n3*r496 - 5*m1*m2 *n1  *n2 *n3*r496

                4   10   3   3               4   8   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *n3*r496

                 4   8   5   3               4   8   3   5
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   6   9                   4   6   7   3
       - 2*m1*m2 *n1 *n2 *n3*r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   6   5   5               4   4   11
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *n3*r496

                 4   4   9   3                4   4   7   5
       - 13*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   2   13                  4   2   11   3
       - m1*m2 *n1 *n2  *n3*r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   2   9   5               4   13   3
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   11   5          5   11   4               5   9   6
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *n3*r496 - 3*m2 *n1 *n2 *n3*r496

             5   9   4   3            5   7   8               5   7   6   3
       - 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *n3*r496 - 8*m2 *n1 *n2 *n3 *r496

             5   7   4   5          5   5   10               5   5   8   3
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2 *n3 *r496

             5   5   6   5            5   3   10   3
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   3   8   5                5   10   3   2           5   10      4
       - 2*m2 *n1 *n2 *n3 *r496)/(2*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1  *n2*n3

              5   8   5   2           5   8   3   4           5   6   7   2
    + 2*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3

              5   6   5   4           5   4   9   2           5   4   7   4
    + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3

              4      11   4           4      11   2   2           4      11   4
    + 2*a33*m1 *m2*n1  *n2  - 8*a33*m1 *m2*n1  *n2 *n3  + 4*a33*m1 *m2*n1  *n3

              4      9   6           4      9   4   2
    + 4*a33*m1 *m2*n1 *n2  - 6*a33*m1 *m2*n1 *n2 *n3

               4      9   2   4            4      7   6   2
    - 12*a33*m1 *m2*n1 *n2 *n3  + 10*a33*m1 *m2*n1 *n2 *n3

               4      7   4   4           4      5   10
    - 20*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

              4      5   8   2            4      5   6   4
    + 6*a33*m1 *m2*n1 *n2 *n3  + 12*a33*m1 *m2*n1 *n2 *n3

              4      3   12           4      3   10   2
    - 2*a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

               4      3   8   4           3   2   12   3
    + 16*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2 *n1  *n2

              3   2   12      2           3   2   10   5
    + 6*a33*m1 *m2 *n1  *n2*n3  - 4*a33*m1 *m2 *n1  *n2

               3   2   10   3   2            3   2   10      4
    - 14*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

              3   2   8   7            3   2   8   5   2
    + 8*a33*m1 *m2 *n1 *n2  - 32*a33*m1 *m2 *n1 *n2 *n3

              3   2   8   3   4           3   2   6   9
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

              3   2   6   7   2            3   2   6   5   4
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   11            3   2   4   9   2
    - 4*a33*m1 *m2 *n1 *n2   + 26*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   7   4           3   2   2   13
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

              3   2   2   11   2            3   2   2   9   4
    + 6*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

              2   3   13   2           2   3   11   4
    + 2*a33*m1 *m2 *n1  *n2  - 4*a33*m1 *m2 *n1  *n2

               2   3   11   2   2            2   3   9   6
    + 18*a33*m1 *m2 *n1  *n2 *n3  - 14*a33*m1 *m2 *n1 *n2

              2   3   9   4   2            2   3   9   2   4
    + 6*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

               2   3   7   6   2           2   3   7   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   10            2   3   5   8   2
    + 14*a33*m1 *m2 *n1 *n2   - 16*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   6   4           2   3   3   12
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1 *n2

               2   3   3   10   2           2   3   3   8   4
    + 22*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2 *n3

              2   3      14            2   3      12   2
    - 2*a33*m1 *m2 *n1*n2   + 10*a33*m1 *m2 *n1*n2  *n3

               2   3      10   4              4   12   3              4   10   5
    + 16*a33*m1 *m2 *n1*n2  *n3  + 4*a33*m1*m2 *n1  *n2  + 4*a33*m1*m2 *n1  *n2

                  4   10   3   2              4   8   7
    + 18*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1 *n2

                  4   8   5   2               4   8   3   4
    + 22*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                 4   6   9               4   6   7   2
    - 8*a33*m1*m2 *n1 *n2  - 18*a33*m1*m2 *n1 *n2 *n3

                  4   6   5   4              4   4   11
    + 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n1 *n2

                  4   4   9   2               4   4   7   4
    - 26*a33*m1*m2 *n1 *n2 *n3  - 20*a33*m1*m2 *n1 *n2 *n3

                 4   2   13               4   2   9   4              4   13   2
    + 4*a33*m1*m2 *n1 *n2   - 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n2  *n3

                 4   11   4           5   11   4           5   9   6
    + 4*a33*m1*m2 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1 *n2

              5   9   4   2            5   7   6   2           5   7   4   4
    + 6*a33*m2 *n1 *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   5   10           5   5   8   2           5   5   6   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   3   12            5   3   10   2           5   3   8   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2 *n3

              5      12   2           5      10   4
    - 4*a33*m2 *n1*n2  *n3  - 4*a33*m2 *n1*n2  *n3 )


              2   6   6   5   2             2   6   6   3   4
r329=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   7   2             2   6   4   5   4
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   6              2   5      7   4   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7   2   4             2   5      5   8
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      5   6   2              2   5      5   4   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   10             2   5      3   8   2
       - 4*a33 *m1 *m2*n1 *n2  *r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   6   4             2   5   8   4   2
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8   2   4             2   5   6   6   2
       + 4*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   4   4             2   5   4   8   2
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   6   4              2   4   2   8   5
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   8   3   2             2   4   2   8      4
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n2*n3 *r214

               2   4   2   6   7              2   4   2   6   5   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   3   4             2   4   2   4   9
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   4   7   2              2   4   2   4   5   4
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   11              2   4   2   2   9   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   7   4             2   4      9   5
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *r216

              2   4      9   3   2             2   4      9      4
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 4*a33 *m1 *m2*n1 *n2*n3 *r216

              2   4      7   7              2   4      7   5   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   3   4             2   4      5   9
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      5   7   2              2   4      5   5   4
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   11             2   4      3   9   2
       - 2*a33 *m1 *m2*n1 *n2  *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   7   4              2   3   3   9   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   9   2   2              2   3   3   7   4   2
       + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7   2   4              2   3   3   5   8
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   5   6   2              2   3   3   5   4   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   10              2   3   3   3   8   2
       + 16*a33 *m1 *m2 *n1 *n2  *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   6   4             2   3   3      12
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   3      10   2              2   3   3      8   4
       + 20*a33 *m1 *m2 *n1*n2  *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   4             2   3   2   10   2   2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   2   8   6             2   3   2   8   4   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8   2   4              2   3   2   6   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   4   4             2   3   2   4   10
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

               2   3   2   4   8   2              2   3   2   4   6   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   12             2   3   2   2   10   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   2   2   8   4             2   2   4   10   3
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   8   5              2   2   4   8   3   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   7              2   2   4   6   5   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   3   4              2   2   4   4   7   2
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   5   4              2   2   4   2   11
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   2   9   2              2   2   4   2   7   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   11   2             2   2   4   9   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   3             2   2   3   9   5
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   9   3   2              2   2   3   7   7
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   7   5   2              2   2   3   7   3   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   9              2   2   3   5   7   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   5   4             2   2   3   3   11
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   3   9   2             2   2   3   3   7   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      13              2   2   3      11   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      9   4             2      5   9   4
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   6              2      5   7   4   2
       + 4*a33 *m1*m2 *n1 *n2 *r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   8              2      5   5   6   2
       - 16*a33 *m1*m2 *n1 *n2 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   4   4              2      5   3   10
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2  *r214

               2      5   3   8   2              2      5   3   6   4
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      10   2              2      5      8   4
       - 16*a33 *m1*m2 *n1*n2  *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   4             2      4   8   6
       - 4*a33 *m1*m2 *n1  *n2 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   4   2              2      4   6   6   2
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   4   4             2      4   4   10
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2  *r216

               2      4   4   8   2              2      4   4   6   4
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   12             2      4   2   10   2
       + 4*a33 *m1*m2 *n1 *n2  *r216 + 4*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      4   2   8   4             2      4   12   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   10   4             2   6   8   5
       + 4*a33 *m1*m2 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *r214

              2   6   6   7              2   6   6   5   2
       + 8*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   9              2   6   4   7   2
       + 4*a33 *m2 *n1 *n2 *r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   5   4             2   6   2   9   2
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   7   4             2   5   9   5
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *r216

              2   5   7   7             2   5   7   5   2
       - 6*a33 *m2 *n1 *n2 *r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   9              2   5   5   7   2
       - 6*a33 *m2 *n1 *n2 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   5   4             2   5   3   11
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   5   3   9   2             2   5   3   7   4
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      11   2             2   5      9   4
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

             5   10   4   2            5   10   2   4
       - 2*m1 *n1  *n2 *n3 *r496 + 4*m1 *n1  *n2 *n3 *r496

             5   8   6   2            5   8   4   4          5   4   10   2
       - 3*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2  *n3 *r496

             5   4   8   4            4      11   5
       - 2*m1 *n1 *n2 *n3 *r496 - 2*m1 *m2*n1  *n2 *r496

             4      11   3   2            4      11      4
       + 7*m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n2*n3 *r496

             4      9   7            4      9   5   2
       - 5*m1 *m2*n1 *n2 *r496 + 7*m1 *m2*n1 *n2 *n3 *r496

              4      9   3   4            4      7   9
       + 16*m1 *m2*n1 *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *r496

             4      7   7   2             4      7   5   4
       - 6*m1 *m2*n1 *n2 *n3 *r496 + 30*m1 *m2*n1 *n2 *n3 *r496

           4      5   11            4      5   9   2
       + m1 *m2*n1 *n2  *r496 - 5*m1 *m2*n1 *n2 *n3 *r496

             4      5   7   4          4      3   13
       + 4*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           4      3   11   2            4      3   9   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

             3   2   12   4            3   2   12   2   2
       + 3*m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   6             3   2   10   4   2
       + 2*m1 *m2 *n1  *n2 *r496 + 19*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   2   4             3   2   8   8
       - 8*m1 *m2 *n1  *n2 *n3 *r496 - 10*m1 *m2 *n1 *n2 *r496

              3   2   8   6   2             3   2   8   4   4
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   10             3   2   6   8   2
       - 12*m1 *m2 *n1 *n2  *r496 + 12*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   6   4          3   2   4   12
       + 60*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

              3   2   4   10   2             3   2   4   8   4
       - 11*m1 *m2 *n1 *n2  *n3 *r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   14            3   2   2   12   2
       + 2*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   10   4          2   3   13   3
       - 12*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1  *n2 *r496

             2   3   11   5            2   3   11   3   2
       + 5*m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

              2   3   9   7             2   3   9   5   2
       + 13*m1 *m2 *n1 *n2 *r496 + 15*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   3   4             2   3   7   7   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 + 64*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   5   4             2   3   5   11
       + 16*m1 *m2 *n1 *n2 *n3 *r496 - 13*m1 *m2 *n1 *n2  *r496

              2   3   5   9   2             2   3   5   7   4
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 60*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   13            2   3   3   11   2
       - 5*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   9   4          2   3      15
       + 24*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *r496

             2   3      13   2            2   3      11   4
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   4             4   10   6
       - 2*m1*m2 *n1  *n2 *r496 + m1*m2 *n1  *n2 *r496

                4   10   4   2                4   8   8
       - 9*m1*m2 *n1  *n2 *n3 *r496 + 12*m1*m2 *n1 *n2 *r496

              4   8   6   2               4   8   4   4
       + m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                 4   6   10                4   6   8   2
       + 10*m1*m2 *n1 *n2  *r496 + 40*m1*m2 *n1 *n2 *n3 *r496

                4   6   6   4               4   4   12
       + 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *r496

                 4   4   10   2                4   4   8   4
       + 39*m1*m2 *n1 *n2  *n3 *r496 + 30*m1*m2 *n1 *n2 *n3 *r496

                4   2   14               4   2   12   2
       - 3*m1*m2 *n1 *n2  *r496 + 7*m1*m2 *n1 *n2  *n3 *r496

                 4   2   10   4               4   14   2
       + 16*m1*m2 *n1 *n2  *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   12   4          5   11   5          5   9   7
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *r496 - m2 *n1 *n2 *r496

             5   9   5   2            5   7   9            5   7   7   2
       - 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2 *r496 - 2*m2 *n1 *n2 *n3 *r496

             5   7   5   4            5   5   11            5   5   9   2
       - 2*m2 *n1 *n2 *n3 *r496 + 5*m2 *n1 *n2  *r496 + 9*m2 *n1 *n2 *n3 *r496

             5   3   13             5   3   11   2            5   3   9   4
       + 2*m2 *n1 *n2  *r496 + 12*m2 *n1 *n2  *n3 *r496 + 6*m2 *n1 *n2 *n3 *r496

             5      13   2            5      11   4                6   8   4   2
       + 4*m2 *n1*n2  *n3 *r496 + 4*m2 *n1*n2  *n3 *r496)/(4*a33*m1 *n1 *n2 *n3

              6   8   2   4           6   4   8   2           6   4   6   4
    - 8*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              5      9   5            5      9   3   2
    + 4*a33*m1 *m2*n1 *n2  - 20*a33*m1 *m2*n1 *n2 *n3

               5      9      4           5      7   7           5      7   5   2
    + 16*a33*m1 *m2*n1 *n2*n3  + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


      m1*n1*n3*r496 + m2*n2*n3*r496
r330=-------------------------------
          a33*m1*n2 - a33*m2*n1


           2   10   12   5   2             2   10   12   3   4
r332=(4*a33 *m1  *n1  *n2 *n3 *r214 - 8*a33 *m1  *n1  *n2 *n3 *r214

               2   10   10   7   2              2   10   10   5   4
       + 20*a33 *m1  *n1  *n2 *n3 *r214 - 40*a33 *m1  *n1  *n2 *n3 *r214

               2   10   8   9   2              2   10   8   7   4
       + 28*a33 *m1  *n1 *n2 *n3 *r214 - 56*a33 *m1  *n1 *n2 *n3 *r214

               2   10   6   11   2              2   10   6   9   4
       + 12*a33 *m1  *n1 *n2  *n3 *r214 - 24*a33 *m1  *n1 *n2 *n3 *r214

              2   9      13   6              2   9      13   4   2
       + 4*a33 *m1 *m2*n1  *n2 *r214 - 24*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   9      13   2   4              2   9      11   8
       + 24*a33 *m1 *m2*n1  *n2 *n3 *r214 + 24*a33 *m1 *m2*n1  *n2 *r214

                2   9      11   6   2              2   9      11   4   4
       - 116*a33 *m1 *m2*n1  *n2 *n3 *r214 + 88*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   9      9   10               2   9      9   8   2
       + 48*a33 *m1 *m2*n1 *n2  *r214 - 124*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   9      9   6   4              2   9      7   12
       - 40*a33 *m1 *m2*n1 *n2 *n3 *r214 + 40*a33 *m1 *m2*n1 *n2  *r214

              2   9      7   10   2               2   9      7   8   4
       + 4*a33 *m1 *m2*n1 *n2  *n3 *r214 - 248*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   9      5   14              2   9      5   12   2
       + 12*a33 *m1 *m2*n1 *n2  *r214 + 36*a33 *m1 *m2*n1 *n2  *n3 *r214

                2   9      5   10   4             2   9   14   4   2
       - 144*a33 *m1 *m2*n1 *n2  *n3 *r214 + 2*a33 *m1 *n1  *n2 *n3 *r216

              2   9   14   2   4              2   9   12   6   2
       - 4*a33 *m1 *n1  *n2 *n3 *r216 + 12*a33 *m1 *n1  *n2 *n3 *r216

               2   9   12   4   4              2   9   10   8   2
       - 24*a33 *m1 *n1  *n2 *n3 *r216 + 24*a33 *m1 *n1  *n2 *n3 *r216

               2   9   10   6   4              2   9   8   10   2
       - 48*a33 *m1 *n1  *n2 *n3 *r216 + 20*a33 *m1 *n1 *n2  *n3 *r216

               2   9   8   8   4             2   9   6   12   2
       - 40*a33 *m1 *n1 *n2 *n3 *r216 + 6*a33 *m1 *n1 *n2  *n3 *r216

               2   9   6   10   4              2   8   2   14   5
       - 12*a33 *m1 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   8   2   14   3   2              2   8   2   14      4
       + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   8   2   12   7               2   8   2   12   5   2
       - 88*a33 *m1 *m2 *n1  *n2 *r214 + 192*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   2   12   3   4               2   8   2   10   9
       - 24*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1  *n2 *r214

               2   8   2   10   7   2               2   8   2   10   5   4
       - 72*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 432*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   2   8   11               2   8   2   8   9   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 528*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   2   8   7   4               2   8   2   6   13
       + 480*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 104*a33 *m1 *m2 *n1 *n2  *r214

                2   8   2   6   11   2               2   8   2   6   9   4
       - 312*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 312*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   2   4   15               2   8   2   4   11   4
       + 48*a33 *m1 *m2 *n1 *n2  *r214 - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   8      15   5              2   8      15   3   2
       + 2*a33 *m1 *m2*n1  *n2 *r216 - 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   8      15      4              2   8      13   7
       + 8*a33 *m1 *m2*n1  *n2*n3 *r216 + 14*a33 *m1 *m2*n1  *n2 *r216

               2   8      13   5   2              2   8      13   3   4
       - 58*a33 *m1 *m2*n1  *n2 *n3 *r216 + 32*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      11   9              2   8      11   7   2
       + 36*a33 *m1 *m2*n1  *n2 *r216 - 96*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      11   5   4              2   8      9   11
       - 24*a33 *m1 *m2*n1  *n2 *n3 *r216 + 44*a33 *m1 *m2*n1 *n2  *r216

               2   8      9   9   2               2   8      9   7   4
       - 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 184*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   8      7   13              2   8      7   11   2
       + 26*a33 *m1 *m2*n1 *n2  *r216 + 26*a33 *m1 *m2*n1 *n2  *n3 *r216

                2   8      7   9   4             2   8      5   15
       - 208*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2  *r216

               2   8      5   13   2              2   8      5   11   4
       + 18*a33 *m1 *m2*n1 *n2  *n3 *r216 - 72*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   7   3   15   4              2   7   3   15   2   2
       + 24*a33 *m1 *m2 *n1  *n2 *r214 - 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   3   15   4               2   7   3   13   6
       + 8*a33 *m1 *m2 *n1  *n3 *r214 + 112*a33 *m1 *m2 *n1  *n2 *r214

               2   7   3   13   4   2              2   7   3   13   2   4
       - 80*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   3   11   8               2   7   3   11   6   2
       - 8*a33 *m1 *m2 *n1  *n2 *r214 + 680*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   3   11   4   4               2   7   3   9   10
       - 496*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 384*a33 *m1 *m2 *n1 *n2  *r214

                 2   7   3   9   8   2               2   7   3   9   6   4
       + 1040*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 368*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   3   7   12               2   7   3   7   10   2
       - 344*a33 *m1 *m2 *n1 *n2  *r214 - 200*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   7   3   7   8   4              2   7   3   5   14
       + 1480*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

                2   7   3   5   12   2               2   7   3   5   10   4
       - 640*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 200*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   3   3   16               2   7   3   3   14   2
       + 72*a33 *m1 *m2 *n1 *n2  *r214 - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   3   3   12   4             2   7   2   16   4
       - 480*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 6*a33 *m1 *m2 *n1  *n2 *r216

               2   7   2   16   2   2             2   7   2   16   4
       + 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n3 *r216

               2   7   2   14   6              2   7   2   14   4   2
       - 38*a33 *m1 *m2 *n1  *n2 *r216 + 62*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   2   14   2   4              2   7   2   12   8
       + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 68*a33 *m1 *m2 *n1  *n2 *r216

               2   7   2   12   6   2               2   7   2   12   4   4
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   10   10               2   7   2   10   8   2
       - 12*a33 *m1 *m2 *n1  *n2  *r216 - 340*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   2   10   6   4              2   7   2   8   12
       + 272*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 82*a33 *m1 *m2 *n1 *n2  *r216

                2   7   2   8   10   2               2   7   2   8   8   4
       - 394*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 124*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   2   6   14               2   7   2   6   12   2
       + 82*a33 *m1 *m2 *n1 *n2  *r216 - 138*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   7   2   6   10   4              2   7   2   4   16
       - 408*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2  *r216

                2   7   2   4   12   4              2   6   4   16   3
       - 180*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   6   4   16      2              2   6   4   14   5
       + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *r214

               2   6   4   14   3   2              2   6   4   14      4
       - 52*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1  *n2*n3 *r214

                2   6   4   12   7               2   6   4   12   5   2
       + 272*a33 *m1 *m2 *n1  *n2 *r214 - 788*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   4   12   3   4               2   6   4   10   9
       + 136*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 624*a33 *m1 *m2 *n1  *n2 *r214

               2   6   4   10   7   2                2   6   4   10   5   4
       - 52*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1144*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   4   8   11                2   6   4   8   9   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 2012*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   4   8   7   4               2   6   4   6   13
       - 928*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 496*a33 *m1 *m2 *n1 *n2  *r214

                 2   6   4   6   11   2
       + 1180*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   6   4   6   9   4               2   6   4   4   15
       + 1600*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 176*a33 *m1 *m2 *n1 *n2  *r214

                2   6   4   4   13   2               2   6   4   4   11   4
       - 340*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 920*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   4   2   17               2   6   4   2   15   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 - 180*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   4   2   13   4             2   6   3   17   3
       - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *r216

              2   6   3   17      2              2   6   3   15   5
       - 6*a33 *m1 *m2 *n1  *n2*n3 *r216 + 30*a33 *m1 *m2 *n1  *n2 *r216

              2   6   3   15   3   2              2   6   3   15      4
       + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   6   3   13   7               2   6   3   13   5   2
       - 16*a33 *m1 *m2 *n1  *n2 *r216 + 264*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   3   13   3   4               2   6   3   11   9
       - 96*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 208*a33 *m1 *m2 *n1  *n2 *r216

                2   6   3   11   7   2               2   6   3   11   5   4
       + 520*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 208*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   3   9   11              2   6   3   9   9   2
       - 282*a33 *m1 *m2 *n1 *n2  *r216 + 26*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   3   9   7   4              2   6   3   7   13
       + 800*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 82*a33 *m1 *m2 *n1 *n2  *r216

                2   6   3   7   11   2               2   6   3   7   9   4
       - 558*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 432*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   3   5   15               2   6   3   5   13   2
       + 68*a33 *m1 *m2 *n1 *n2  *r216 - 380*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   3   5   11   4              2   6   3   3   17
       - 320*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 36*a33 *m1 *m2 *n1 *n2  *r216

               2   6   3   3   15   2               2   6   3   3   13   4
       - 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5   17   2             2   5   5   15   4
       + 4*a33 *m1 *m2 *n1  *n2 *r214 - 8*a33 *m1 *m2 *n1  *n2 *r214

               2   5   5   15   2   2               2   5   5   13   6
       + 36*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 288*a33 *m1 *m2 *n1  *n2 *r214

                2   5   5   13   4   2              2   5   5   13   2   4
       + 276*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   5   11   8                2   5   5   11   6   2
       - 216*a33 *m1 *m2 *n1  *n2 *r214 - 1116*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   5   11   4   4               2   5   5   9   10
       + 648*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 720*a33 *m1 *m2 *n1 *n2  *r214

                 2   5   5   9   8   2               2   5   5   9   6   4
       - 2076*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 816*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   5   7   12               2   5   5   7   10   2
       + 792*a33 *m1 *m2 *n1 *n2  *r214 + 564*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   5   5   7   8   4              2   5   5   5   14
       - 2208*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2  *r214

                 2   5   5   5   12   2
       + 1620*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   5   5   10   4               2   5   5   3   16
       + 360*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 184*a33 *m1 *m2 *n1 *n2  *r214

                2   5   5   3   14   2               2   5   5   3   12   4
       + 228*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 984*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   5      18               2   5   5      16   2
       + 12*a33 *m1 *m2 *n1*n2  *r214 - 108*a33 *m1 *m2 *n1*n2  *n3 *r214

                2   5   5      14   4             2   5   4   18   2
       - 144*a33 *m1 *m2 *n1*n2  *n3 *r214 - 2*a33 *m1 *m2 *n1  *n2 *r216

              2   5   4   16   4              2   5   4   16   2   2
       - 2*a33 *m1 *m2 *n1  *n2 *r216 - 18*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   4   14   6               2   5   4   14   4   2
       + 96*a33 *m1 *m2 *n1  *n2 *r216 - 156*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   4   14   2   4               2   5   4   12   8
       - 12*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 240*a33 *m1 *m2 *n1  *n2 *r216

                2   5   4   12   6   2               2   5   4   12   4   4
       + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 296*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   4   10   10                2   5   4   10   8   2
       + 54*a33 *m1 *m2 *n1  *n2  *r216 + 1006*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   4   10   6   4               2   5   4   8   12
       - 236*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 306*a33 *m1 *m2 *n1 *n2  *r216

                 2   5   4   8   10   2               2   5   4   8   8   4
       + 1038*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 768*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   6   14              2   5   4   6   12   2
       - 268*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   4   6   10   4              2   5   4   4   16
       + 940*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 28*a33 *m1 *m2 *n1 *n2  *r216

                2   5   4   4   14   2              2   5   4   4   12   4
       - 320*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   4   2   18              2   5   4   2   16   2
       + 24*a33 *m1 *m2 *n1 *n2  *r216 - 90*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   4   2   14   4             2   4   6   16   3
       - 180*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1  *n2 *r214

                2   4   6   14   5               2   4   6   12   7
       + 104*a33 *m1 *m2 *n1  *n2 *r214 - 216*a33 *m1 *m2 *n1  *n2 *r214

                2   4   6   12   5   2              2   4   6   12   3   4
       + 760*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   10   9              2   4   6   10   7   2
       - 792*a33 *m1 *m2 *n1  *n2 *r214 + 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   10   5   4               2   4   6   8   11
       + 920*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 216*a33 *m1 *m2 *n1 *n2  *r214

                 2   4   6   8   9   2               2   4   6   8   7   4
       - 2264*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 424*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   6   6   13                2   4   6   6   11   2
       + 552*a33 *m1 *m2 *n1 *n2  *r214 - 1376*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   4   6   6   9   4               2   4   6   4   15
       - 1712*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 232*a33 *m1 *m2 *n1 *n2  *r214

                2   4   6   4   13   2               2   4   6   4   11   4
       + 536*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 640*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   6   2   17               2   4   6   2   15   2
       - 56*a33 *m1 *m2 *n1 *n2  *r214 + 304*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   6   2   13   4              2   4   6   17   2
       + 472*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 24*a33 *m1 *m2 *n2  *n3 *r214

               2   4   6   15   4             2   4   5   17   3
       - 24*a33 *m1 *m2 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1  *n2 *r216

               2   4   5   15   5              2   4   5   13   7
       - 52*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r216

                2   4   5   13   5   2              2   4   5   13   3   4
       - 320*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   11   9               2   4   5   11   7   2
       + 306*a33 *m1 *m2 *n1  *n2 *r216 - 590*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   11   5   4               2   4   5   9   11
       - 320*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 450*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   9   9   2               2   4   5   9   7   4
       + 282*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 744*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   5   7   13                2   4   5   7   11   2
       + 96*a33 *m1 *m2 *n1 *n2  *r216 + 1132*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   5   7   9   4               2   4   5   5   15
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 152*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   5   13   2               2   4   5   5   11   4
       + 604*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 712*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   5   3   17              2   4   5   3   15   2
       - 62*a33 *m1 *m2 *n1 *n2  *r216 - 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   5   3   13   4             2   4   5      19
       + 240*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 6*a33 *m1 *m2 *n1*n2  *r216

               2   4   5      17   2              2   4   5      15   4
       - 54*a33 *m1 *m2 *n1*n2  *n3 *r216 - 72*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   3   7   15   4               2   3   7   13   6
       - 8*a33 *m1 *m2 *n1  *n2 *r214 + 176*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   13   4   2               2   3   7   11   8
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 216*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   11   6   2               2   3   7   11   4   4
       + 640*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 200*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   7   9   10                2   3   7   9   8   2
       - 384*a33 *m1 *m2 *n1 *n2  *r214 + 1208*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   7   9   6   4               2   3   7   7   12
       + 536*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 568*a33 *m1 *m2 *n1 *n2  *r214

                2   3   7   7   10   2               2   3   7   7   8   4
       - 368*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 976*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   7   5   14                2   3   7   5   12   2
       - 48*a33 *m1 *m2 *n1 *n2  *r214 - 1112*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   7   5   10   4               2   3   7   3   16
       - 368*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 104*a33 *m1 *m2 *n1 *n2  *r214

                2   3   7   3   14   2               2   3   7   3   12   4
       - 208*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 520*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   7      16   2              2   3   7      14   4
       + 88*a33 *m1 *m2 *n1*n2  *n3 *r214 + 88*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   6   16   4              2   3   6   14   6
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 68*a33 *m1 *m2 *n1  *n2 *r216

               2   3   6   14   4   2               2   3   6   12   8
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 198*a33 *m1 *m2 *n1  *n2 *r216

                2   3   6   12   6   2               2   3   6   12   4   4
       - 170*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   6   10   10               2   3   6   10   8   2
       - 54*a33 *m1 *m2 *n1  *n2  *r216 - 810*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   6   10   6   4               2   3   6   8   12
       - 72*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 264*a33 *m1 *m2 *n1 *n2  *r216

                2   3   6   8   10   2               2   3   6   8   8   4
       - 688*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 628*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   6   14               2   3   6   6   12   2
       + 240*a33 *m1 *m2 *n1 *n2  *r216 + 184*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   6   6   10   4              2   3   6   4   16
       - 464*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 26*a33 *m1 *m2 *n1 *n2  *r216

                2   3   6   4   14   2               2   3   6   4   12   4
       + 390*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 156*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   6   2   18              2   3   6   2   16   2
       - 22*a33 *m1 *m2 *n1 *n2  *r216 + 86*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   6   2   14   4              2   3   6   18   2
       + 152*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n2  *n3 *r216

               2   3   6   16   4              2   2   8   14   5
       - 12*a33 *m1 *m2 *n2  *n3 *r216 - 32*a33 *m1 *m2 *n1  *n2 *r214

               2   2   8   12   7               2   2   8   12   5   2
       + 64*a33 *m1 *m2 *n1  *n2 *r214 - 180*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   8   10   9              2   2   8   10   7   2
       + 288*a33 *m1 *m2 *n1  *n2 *r214 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   8   10   5   4               2   2   8   8   11
       - 192*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 160*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   8   9   2              2   2   8   8   7   4
       + 780*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   2   8   6   13               2   2   8   6   11   2
       - 128*a33 *m1 *m2 *n1 *n2  *r214 + 540*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   2   8   6   9   4              2   2   8   4   15
       + 504*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 96*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   4   13   2               2   2   8   4   11   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   2   8   2   15   2               2   2   8   2   13   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   7   15   5             2   2   7   13   7
       + 16*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1  *n2 *r216

               2   2   7   13   5   2               2   2   7   11   9
       + 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 138*a33 *m1 *m2 *n1  *n2 *r216

                2   2   7   11   7   2              2   2   7   11   5   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   2   7   9   11               2   2   7   9   9   2
       - 212*a33 *m1 *m2 *n1 *n2  *r216 - 268*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   7   9   7   4              2   2   7   7   13
       + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 68*a33 *m1 *m2 *n1 *n2  *r216

                2   2   7   7   11   2               2   2   7   7   9   4
       - 556*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 160*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   7   5   15               2   2   7   5   13   2
       + 54*a33 *m1 *m2 *n1 *n2  *r216 - 270*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   2   7   5   11   4              2   2   7   3   17
       - 288*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 30*a33 *m1 *m2 *n1 *n2  *r216

               2   2   7   3   15   2              2   2   7   3   13   4
       + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   7      17   2              2   2   7      15   4
       + 32*a33 *m1 *m2 *n1*n2  *n3 *r216 + 32*a33 *m1 *m2 *n1*n2  *n3 *r216

               2      9   13   6              2      9   11   8
       - 28*a33 *m1*m2 *n1  *n2 *r214 - 40*a33 *m1*m2 *n1  *n2 *r214

                2      9   11   6   2              2      9   9   10
       - 108*a33 *m1*m2 *n1  *n2 *n3 *r214 + 48*a33 *m1*m2 *n1 *n2  *r214

                2      9   9   8   2              2      9   9   6   4
       - 172*a33 *m1*m2 *n1 *n2 *n3 *r214 - 88*a33 *m1*m2 *n1 *n2 *n3 *r214

                2      9   7   12              2      9   7   10   2
       + 104*a33 *m1*m2 *n1 *n2  *r214 + 52*a33 *m1*m2 *n1 *n2  *n3 *r214

                2      9   7   8   4              2      9   5   14
       - 104*a33 *m1*m2 *n1 *n2 *n3 *r214 + 44*a33 *m1*m2 *n1 *n2  *r214

                2      9   5   12   2              2      9   5   10   4
       + 188*a33 *m1*m2 *n1 *n2  *n3 *r214 + 56*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      9   3   14   2              2      9   3   12   4
       + 72*a33 *m1*m2 *n1 *n2  *n3 *r214 + 72*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   14   6              2      8   12   8
       + 14*a33 *m1*m2 *n1  *n2 *r216 + 38*a33 *m1*m2 *n1  *n2 *r216

               2      8   12   6   2              2      8   10   10
       + 54*a33 *m1*m2 *n1  *n2 *n3 *r216 + 12*a33 *m1*m2 *n1  *n2  *r216

                2      8   10   8   2              2      8   10   6   4
       + 152*a33 *m1*m2 *n1  *n2 *n3 *r216 + 44*a33 *m1*m2 *n1  *n2 *n3 *r216

               2      8   8   12               2      8   8   10   2
       - 52*a33 *m1*m2 *n1 *n2  *r216 + 104*a33 *m1*m2 *n1 *n2  *n3 *r216

                2      8   8   8   4              2      8   6   14
       + 104*a33 *m1*m2 *n1 *n2 *n3 *r216 - 58*a33 *m1*m2 *n1 *n2  *r216

               2      8   6   12   2              2      8   6   10   4
       - 60*a33 *m1*m2 *n1 *n2  *n3 *r216 + 48*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   4   16              2      8   4   14   2
       - 18*a33 *m1*m2 *n1 *n2  *r216 - 94*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   4   12   4              2      8   2   16   2
       - 40*a33 *m1*m2 *n1 *n2  *n3 *r216 - 28*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   2   14   4             2   10   12   7
       - 28*a33 *m1*m2 *n1 *n2  *n3 *r216 - 8*a33 *m2  *n1  *n2 *r214

               2   10   10   9              2   10   10   7   2
       - 24*a33 *m2  *n1  *n2 *r214 - 24*a33 *m2  *n1  *n2 *n3 *r214

               2   10   8   11              2   10   8   9   2
       - 24*a33 *m2  *n1 *n2  *r214 - 64*a33 *m2  *n1 *n2 *n3 *r214

               2   10   8   7   4             2   10   6   13
       - 16*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2  *r214

               2   10   6   11   2              2   10   6   9   4
       - 56*a33 *m2  *n1 *n2  *n3 *r214 - 32*a33 *m2  *n1 *n2 *n3 *r214

               2   10   4   13   2              2   10   4   11   4
       - 16*a33 *m2  *n1 *n2  *n3 *r214 - 16*a33 *m2  *n1 *n2  *n3 *r214

              2   9   13   7              2   9   11   9
       + 4*a33 *m2 *n1  *n2 *r216 + 16*a33 *m2 *n1  *n2 *r216

               2   9   11   7   2              2   9   9   11
       + 12*a33 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m2 *n1 *n2  *r216

               2   9   9   9   2             2   9   9   7   4
       + 44*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

               2   9   7   13              2   9   7   11   2
       + 16*a33 *m2 *n1 *n2  *r216 + 60*a33 *m2 *n1 *n2  *n3 *r216

               2   9   7   9   4             2   9   5   15
       + 24*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2  *r216

               2   9   5   13   2              2   9   5   11   4
       + 36*a33 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m2 *n1 *n2  *n3 *r216

              2   9   3   15   2             2   9   3   13   4
       + 8*a33 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m2 *n1 *n2  *n3 *r216

             9   16   4   2            9   16   2   4
       + 4*m1 *n1  *n2 *n3 *r496 - 8*m1 *n1  *n2 *n3 *r496

             9   14   6   2             9   14   4   4
       + 9*m1 *n1  *n2 *n3 *r496 - 18*m1 *n1  *n2 *n3 *r496

             9   12   8   2             9   12   6   4
       + 6*m1 *n1  *n2 *n3 *r496 - 12*m1 *n1  *n2 *n3 *r496

             9   10   10   2            9   10   8   4
       + 4*m1 *n1  *n2  *n3 *r496 - 8*m1 *n1  *n2 *n3 *r496

             9   8   12   2             9   8   10   4
       + 6*m1 *n1 *n2  *n3 *r496 - 12*m1 *n1 *n2  *n3 *r496

             9   6   14   2            9   6   12   4
       + 3*m1 *n1 *n2  *n3 *r496 - 6*m1 *n1 *n2  *n3 *r496

             8      17   5             8      17   3   2
       + 4*m1 *m2*n1  *n2 *r496 - 19*m1 *m2*n1  *n2 *n3 *r496

              8      17      4             8      15   7
       + 14*m1 *m2*n1  *n2*n3 *r496 + 13*m1 *m2*n1  *n2 *r496

              8      15   5   2             8      15   3   4
       - 22*m1 *m2*n1  *n2 *n3 *r496 - 34*m1 *m2*n1  *n2 *n3 *r496

              8      13   9             8      13   7   2
       + 15*m1 *m2*n1  *n2 *r496 + 21*m1 *m2*n1  *n2 *n3 *r496

               8      13   5   4             8      11   11
       - 132*m1 *m2*n1  *n2 *n3 *r496 + 10*m1 *m2*n1  *n2  *r496

              8      11   9   2             8      11   7   4
       + 14*m1 *m2*n1  *n2 *n3 *r496 - 88*m1 *m2*n1  *n2 *n3 *r496

              8      9   13             8      9   11   2
       + 10*m1 *m2*n1 *n2  *r496 - 19*m1 *m2*n1 *n2  *n3 *r496

              8      9   9   4            8      7   15
       - 22*m1 *m2*n1 *n2 *n3 *r496 + 9*m1 *m2*n1 *n2  *r496

              8      7   11   4            8      5   17
       - 54*m1 *m2*n1 *n2  *n3 *r496 + 3*m1 *m2*n1 *n2  *r496

             8      5   15   2             8      5   13   4
       + 9*m1 *m2*n1 *n2  *n3 *r496 - 36*m1 *m2*n1 *n2  *n3 *r496

              7   2   18   4             7   2   18   2   2
       - 11*m1 *m2 *n1  *n2 *r496 + 24*m1 *m2 *n1  *n2 *n3 *r496

             7   2   18   4             7   2   16   6
       - 6*m1 *m2 *n1  *n3 *r496 - 11*m1 *m2 *n1  *n2 *r496

              7   2   16   4   2              7   2   16   2   4
       - 68*m1 *m2 *n1  *n2 *n3 *r496 + 100*m1 *m2 *n1  *n2 *n3 *r496

              7   2   14   8              7   2   14   6   2
       + 42*m1 *m2 *n1  *n2 *r496 - 224*m1 *m2 *n1  *n2 *n3 *r496

              7   2   14   4   4             7   2   12   10
       + 28*m1 *m2 *n1  *n2 *n3 *r496 + 70*m1 *m2 *n1  *n2  *r496

              7   2   12   8   2              7   2   12   6   4
       - 96*m1 *m2 *n1  *n2 *n3 *r496 - 378*m1 *m2 *n1  *n2 *n3 *r496

              7   2   10   12             7   2   10   10   2
       + 25*m1 *m2 *n1  *n2  *r496 + 16*m1 *m2 *n1  *n2  *n3 *r496

               7   2   10   8   4            7   2   8   14
       - 302*m1 *m2 *n1  *n2 *n3 *r496 + 9*m1 *m2 *n1 *n2  *r496

              7   2   8   12   2             7   2   8   10   4
       - 92*m1 *m2 *n1 *n2  *n3 *r496 + 16*m1 *m2 *n1 *n2  *n3 *r496

              7   2   6   16             7   2   6   14   2
       + 24*m1 *m2 *n1 *n2  *r496 - 72*m1 *m2 *n1 *n2  *n3 *r496

              7   2   6   12   4             7   2   4   18
       - 72*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1 *n2  *r496

              7   2   4   14   4             6   3   19   3
       - 90*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1  *n2 *r496

             6   3   19      2             6   3   17   5
       - 9*m1 *m2 *n1  *n2*n3 *r496 - 35*m1 *m2 *n1  *n2 *r496

               6   3   17   3   2             6   3   17      4
       + 144*m1 *m2 *n1  *n2 *n3 *r496 - 48*m1 *m2 *n1  *n2*n3 *r496

               6   3   15   7             6   3   15   5   2
       - 129*m1 *m2 *n1  *n2 *r496 + 71*m1 *m2 *n1  *n2 *n3 *r496

               6   3   15   3   4             6   3   13   9
       + 278*m1 *m2 *n1  *n2 *n3 *r496 - 32*m1 *m2 *n1  *n2 *r496

               6   3   13   7   2              6   3   13   5   4
       - 526*m1 *m2 *n1  *n2 *n3 *r496 + 422*m1 *m2 *n1  *n2 *n3 *r496

               6   3   11   11              6   3   11   9   2
       + 130*m1 *m2 *n1  *n2  *r496 - 489*m1 *m2 *n1  *n2 *n3 *r496

               6   3   11   7   4             6   3   9   13
       - 492*m1 *m2 *n1  *n2 *n3 *r496 + 45*m1 *m2 *n1 *n2  *r496

              6   3   9   11   2              6   3   9   9   4
       + 20*m1 *m2 *n1 *n2  *n3 *r496 - 628*m1 *m2 *n1 *n2 *n3 *r496

              6   3   7   15             6   3   7   13   2
       - 45*m1 *m2 *n1 *n2  *r496 - 55*m1 *m2 *n1 *n2  *n3 *r496

               6   3   7   11   4            6   3   5   17
       + 110*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n1 *n2  *r496

               6   3   5   15   2             6   3   5   13   4
       - 150*m1 *m2 *n1 *n2  *n3 *r496 + 30*m1 *m2 *n1 *n2  *n3 *r496

              6   3   3   19             6   3   3   17   2
       + 18*m1 *m2 *n1 *n2  *r496 - 30*m1 *m2 *n1 *n2  *n3 *r496

               6   3   3   15   4            5   4   20   2
       - 120*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1  *n2 *r496

              5   4   18   4             5   4   18   2   2
       + 51*m1 *m2 *n1  *n2 *r496 - 63*m1 *m2 *n1  *n2 *n3 *r496

              5   4   16   6              5   4   16   4   2
       + 30*m1 *m2 *n1  *n2 *r496 + 306*m1 *m2 *n1  *n2 *n3 *r496

               5   4   16   2   4              5   4   14   8
       - 162*m1 *m2 *n1  *n2 *n3 *r496 - 256*m1 *m2 *n1  *n2 *r496

               5   4   14   6   2              5   4   14   4   4
       + 664*m1 *m2 *n1  *n2 *n3 *r496 + 352*m1 *m2 *n1  *n2 *n3 *r496

               5   4   12   10              5   4   12   8   2
       - 283*m1 *m2 *n1  *n2  *r496 - 314*m1 *m2 *n1  *n2 *n3 *r496

                5   4   12   6   4             5   4   10   12
       + 1048*m1 *m2 *n1  *n2 *n3 *r496 + 87*m1 *m2 *n1  *n2  *r496

               5   4   10   10   2              5   4   10   8   4
       - 876*m1 *m2 *n1  *n2  *n3 *r496 - 138*m1 *m2 *n1  *n2 *n3 *r496

               5   4   8   14             5   4   8   12   2
       + 116*m1 *m2 *n1 *n2  *r496 - 62*m1 *m2 *n1 *n2  *n3 *r496

               5   4   8   10   4             5   4   6   16
       - 842*m1 *m2 *n1 *n2  *n3 *r496 - 70*m1 *m2 *n1 *n2  *r496

               5   4   6   14   2              5   4   6   12   4
       + 160*m1 *m2 *n1 *n2  *n3 *r496 + 100*m1 *m2 *n1 *n2  *n3 *r496

              5   4   4   18             5   4   4   16   2
       - 36*m1 *m2 *n1 *n2  *r496 - 90*m1 *m2 *n1 *n2  *n3 *r496

               5   4   4   14   4             5   4   2   20
       + 180*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1 *n2  *r496

              5   4   2   18   2             5   4   2   16   4
       - 45*m1 *m2 *n1 *n2  *n3 *r496 - 90*m1 *m2 *n1 *n2  *n3 *r496

              4   5   19   3             4   5   17   5
       - 18*m1 *m2 *n1  *n2 *r496 + 84*m1 *m2 *n1  *n2 *r496

               4   5   17   3   2              4   5   15   7
       - 180*m1 *m2 *n1  *n2 *n3 *r496 + 230*m1 *m2 *n1  *n2 *r496

               4   5   15   5   2              4   5   15   3   4
       + 210*m1 *m2 *n1  *n2 *n3 *r496 - 300*m1 *m2 *n1  *n2 *n3 *r496

              4   5   13   9               4   5   13   7   2
       - 94*m1 *m2 *n1  *n2 *r496 + 1205*m1 *m2 *n1  *n2 *n3 *r496

               4   5   13   5   4              4   5   11   11
       + 110*m1 *m2 *n1  *n2 *n3 *r496 - 417*m1 *m2 *n1  *n2  *r496

               4   5   11   9   2               4   5   11   7   4
       + 524*m1 *m2 *n1  *n2 *n3 *r496 + 1262*m1 *m2 *n1  *n2 *n3 *r496

              4   5   9   13              4   5   9   11   2
       - 73*m1 *m2 *n1 *n2  *r496 - 741*m1 *m2 *n1 *n2  *n3 *r496

               4   5   9   9   4              4   5   7   15
       + 432*m1 *m2 *n1 *n2 *n3 *r496 + 164*m1 *m2 *n1 *n2  *r496

               4   5   7   13   2              4   5   7   11   4
       - 274*m1 *m2 *n1 *n2  *n3 *r496 - 712*m1 *m2 *n1 *n2  *n3 *r496

               4   5   5   15   2             4   5   5   13   4
       + 239*m1 *m2 *n1 *n2  *n3 *r496 - 58*m1 *m2 *n1 *n2  *n3 *r496

              4   5   3   19             4   5   3   17   2
       - 39*m1 *m2 *n1 *n2  *r496 + 36*m1 *m2 *n1 *n2  *n3 *r496

               4   5   3   15   4            4   5      21
       + 198*m1 *m2 *n1 *n2  *n3 *r496 + 3*m1 *m2 *n1*n2  *r496

              4   5      19   2             4   5      17   4
       - 27*m1 *m2 *n1*n2  *n3 *r496 - 36*m1 *m2 *n1*n2  *n3 *r496

              3   6   18   4             3   6   16   6
       - 42*m1 *m2 *n1  *n2 *r496 + 26*m1 *m2 *n1  *n2 *r496

               3   6   16   4   2              3   6   14   8
       - 270*m1 *m2 *n1  *n2 *n3 *r496 + 305*m1 *m2 *n1  *n2 *r496

               3   6   14   6   2              3   6   14   4   4
       - 180*m1 *m2 *n1  *n2 *n3 *r496 - 330*m1 *m2 *n1  *n2 *n3 *r496

               3   6   12   10              3   6   12   8   2
       + 213*m1 *m2 *n1  *n2  *r496 + 916*m1 *m2 *n1  *n2 *n3 *r496

               3   6   12   6   4              3   6   10   12
       - 236*m1 *m2 *n1  *n2 *n3 *r496 - 220*m1 *m2 *n1  *n2  *r496

               3   6   10   10   2              3   6   10   8   4
       + 988*m1 *m2 *n1  *n2  *n3 *r496 + 796*m1 *m2 *n1  *n2 *n3 *r496

               3   6   8   14              3   6   8   12   2
       - 172*m1 *m2 *n1 *n2  *r496 - 204*m1 *m2 *n1 *n2  *n3 *r496

               3   6   8   10   4             3   6   6   16
       + 618*m1 *m2 *n1 *n2  *n3 *r496 + 81*m1 *m2 *n1 *n2  *r496

               3   6   6   14   2              3   6   6   12   4
       - 356*m1 *m2 *n1 *n2  *n3 *r496 - 338*m1 *m2 *n1 *n2  *n3 *r496

              3   6   4   18             3   6   4   16   2
       + 45*m1 *m2 *n1 *n2  *r496 + 76*m1 *m2 *n1 *n2  *n3 *r496

               3   6   4   14   4             3   6   2   20
       - 152*m1 *m2 *n1 *n2  *n3 *r496 - 12*m1 *m2 *n1 *n2  *r496

              3   6   2   18   2             3   6   2   16   4
       + 60*m1 *m2 *n1 *n2  *n3 *r496 + 96*m1 *m2 *n1 *n2  *n3 *r496

             3   6   20   2            3   6   18   4
       - 6*m1 *m2 *n2  *n3 *r496 - 6*m1 *m2 *n2  *n3 *r496

              2   7   17   5             2   7   15   7
       - 48*m1 *m2 *n1  *n2 *r496 - 66*m1 *m2 *n1  *n2 *r496

               2   7   15   5   2              2   7   13   9
       - 225*m1 *m2 *n1  *n2 *n3 *r496 + 129*m1 *m2 *n1  *n2 *r496

               2   7   13   7   2              2   7   13   5   4
       - 396*m1 *m2 *n1  *n2 *n3 *r496 - 216*m1 *m2 *n1  *n2 *n3 *r496

               2   7   11   11              2   7   11   9   2
       + 235*m1 *m2 *n1  *n2  *r496 + 197*m1 *m2 *n1  *n2 *n3 *r496

               2   7   11   7   4             2   7   9   13
       - 310*m1 *m2 *n1  *n2 *n3 *r496 + 10*m1 *m2 *n1 *n2  *r496

               2   7   9   11   2              2   7   9   9   4
       + 626*m1 *m2 *n1 *n2  *n3 *r496 + 218*m1 *m2 *n1 *n2 *n3 *r496

               2   7   7   15              2   7   7   13   2
       - 108*m1 *m2 *n1 *n2  *r496 + 129*m1 *m2 *n1 *n2  *n3 *r496

               2   7   7   11   4             2   7   5   17
       + 372*m1 *m2 *n1 *n2  *n3 *r496 - 11*m1 *m2 *n1 *n2  *r496

               2   7   5   15   2             2   7   5   13   4
       - 184*m1 *m2 *n1 *n2  *n3 *r496 - 52*m1 *m2 *n1 *n2  *n3 *r496

              2   7   3   19             2   7   3   17   2
       + 19*m1 *m2 *n1 *n2  *r496 - 37*m1 *m2 *n1 *n2  *n3 *r496

              2   7   3   15   4             2   7      19   2
       - 94*m1 *m2 *n1 *n2  *n3 *r496 + 18*m1 *m2 *n1*n2  *n3 *r496

              2   7      17   4                8   16   6
       + 18*m1 *m2 *n1*n2  *n3 *r496 - 27*m1*m2 *n1  *n2 *r496

                 8   14   8                8   14   6   2
       - 69*m1*m2 *n1  *n2 *r496 - 99*m1*m2 *n1  *n2 *n3 *r496

                 8   12   10                 8   12   8   2
       - 20*m1*m2 *n1  *n2  *r496 - 246*m1*m2 *n1  *n2 *n3 *r496

                 8   12   6   4                8   10   12
       - 78*m1*m2 *n1  *n2 *n3 *r496 + 70*m1*m2 *n1  *n2  *r496

                  8   10   10   2                 8   10   8   4
       - 104*m1*m2 *n1  *n2  *n3 *r496 - 152*m1*m2 *n1  *n2 *n3 *r496

                 8   8   14                 8   8   12   2
       + 45*m1*m2 *n1 *n2  *r496 + 154*m1*m2 *n1 *n2  *n3 *r496

                8   8   10   4                8   6   16
       - 8*m1*m2 *n1 *n2  *n3 *r496 - 17*m1*m2 *n1 *n2  *r496

                  8   6   14   2                 8   6   12   4
       + 111*m1*m2 *n1 *n2  *n3 *r496 + 108*m1*m2 *n1 *n2  *n3 *r496

                 8   4   18                8   4   16   2
       - 14*m1*m2 *n1 *n2  *r496 - 20*m1*m2 *n1 *n2  *n3 *r496

                 8   4   14   4                8   2   18   2
       + 22*m1*m2 *n1 *n2  *n3 *r496 - 20*m1*m2 *n1 *n2  *n3 *r496

                 8   2   16   4            9   15   7
       - 20*m1*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1  *n2 *r496

              9   13   9             9   13   7   2             9   11   11
       - 20*m2 *n1  *n2 *r496 - 18*m2 *n1  *n2 *n3 *r496 - 20*m2 *n1  *n2  *r496

              9   11   9   2             9   11   7   4
       - 54*m2 *n1  *n2 *n3 *r496 - 12*m2 *n1  *n2 *n3 *r496

              9   9   11   2             9   9   9   4
       - 46*m2 *n1 *n2  *n3 *r496 - 28*m2 *n1 *n2 *n3 *r496

              9   7   15            9   7   13   2
       + 10*m2 *n1 *n2  *r496 + 6*m2 *n1 *n2  *n3 *r496

              9   7   11   4            9   5   17
       - 12*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2  *r496

              9   5   15   2             9   5   13   4
       + 24*m2 *n1 *n2  *n3 *r496 + 12*m2 *n1 *n2  *n3 *r496

             9   3   17   2            9   3   15   4
       + 8*m2 *n1 *n2  *n3 *r496 + 8*m2 *n1 *n2  *n3 *r496)/(

           9   14   5   2           9   14   3   4           9   12   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 8*a33*m1 *n1  *n2 *n3

               9   12   5   4           9   8   11   2            9   8   9   4
    - 16*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1 *n2  *n3  + 16*a33*m1 *n1 *n2 *n3

              9   6   13   2           9   6   11   4           8      15   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2  *n3  + 4*a33*m1 *m2*n1  *n2

               8      15   4   2            8      15   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

               8      13   8            8      13   6   2
    + 12*a33*m1 *m2*n1  *n2  - 36*a33*m1 *m2*n1  *n2 *n3

              8      11   10            8      11   8   2
    + 8*a33*m1 *m2*n1  *n2   + 24*a33*m1 *m2*n1  *n2 *n3

               8      11   6   4           8      9   12
    - 96*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               8      9   10   2            8      9   8   4
    + 48*a33*m1 *m2*n1 *n2  *n3  - 48*a33*m1 *m2*n1 *n2 *n3

               8      7   14            8      7   10   4
    - 12*a33*m1 *m2*n1 *n2   + 72*a33*m1 *m2*n1 *n2  *n3

              8      5   16            8      5   14   2
    - 4*a33*m1 *m2*n1 *n2   - 12*a33*m1 *m2*n1 *n2  *n3

               8      5   12   4            7   2   16   5
    + 48*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   16   3   2            7   2   16      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               7   2   14   7            7   2   14   3   4
    - 32*a33*m1 *m2 *n1  *n2  + 96*a33*m1 *m2 *n1  *n2 *n3

               7   2   12   9             7   2   12   7   2
    + 16*a33*m1 *m2 *n1  *n2  - 192*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   5   4            7   2   10   11
    + 168*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2

               7   2   10   9   2             7   2   10   7   4
    - 96*a33*m1 *m2 *n1  *n2 *n3  - 192*a33*m1 *m2 *n1  *n2 *n3

               7   2   8   13             7   2   8   11   2
    + 16*a33*m1 *m2 *n1 *n2   + 144*a33*m1 *m2 *n1 *n2  *n3

                7   2   8   9   4            7   2   6   15
    - 264*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               7   2   6   13   2            7   2   6   11   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2  *n3

               7   2   4   17             7   2   4   13   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   17   4            6   3   17   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   17   4           6   3   15   6
    + 8*a33*m1 *m2 *n1  *n3  + 8*a33*m1 *m2 *n1  *n2

                6   3   15   4   2             6   3   15   2   4
    + 136*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                6   3   13   8             6   3   13   6   2
    - 120*a33*m1 *m2 *n1  *n2  + 312*a33*m1 *m2 *n1  *n2 *n3

               6   3   13   4   4             6   3   11   10
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                6   3   11   8   2             6   3   11   6   4
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 544*a33*m1 *m2 *n1  *n2 *n3

                6   3   9   12             6   3   9   10   2
    + 104*a33*m1 *m2 *n1 *n2   - 472*a33*m1 *m2 *n1 *n2  *n3

               6   3   9   8   4             6   3   7   14
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 120*a33*m1 *m2 *n1 *n2

               6   3   7   12   2             6   3   7   10   4
    + 24*a33*m1 *m2 *n1 *n2  *n3  - 576*a33*m1 *m2 *n1 *n2  *n3

              6   3   5   16             6   3   5   14   2
    - 8*a33*m1 *m2 *n1 *n2   + 200*a33*m1 *m2 *n1 *n2  *n3

               6   3   5   12   4            6   3   3   18
    - 40*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   16   2             6   3   3   14   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   18   3            5   4   18      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   16   5             5   4   16   3   2
    + 48*a33*m1 *m2 *n1  *n2  - 168*a33*m1 *m2 *n1  *n2 *n3

               5   4   16      4             5   4   14   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 160*a33*m1 *m2 *n1  *n2

               5   4   14   5   2             5   4   14   3   4
    - 24*a33*m1 *m2 *n1  *n2 *n3  - 264*a33*m1 *m2 *n1  *n2 *n3

               5   4   12   9             5   4   12   7   2
    - 48*a33*m1 *m2 *n1  *n2  + 696*a33*m1 *m2 *n1  *n2 *n3

                5   4   12   5   4             5   4   10   11
    - 240*a33*m1 *m2 *n1  *n2 *n3  - 288*a33*m1 *m2 *n1  *n2

                5   4   10   9   2             5   4   10   7   4
    + 312*a33*m1 *m2 *n1  *n2 *n3  + 744*a33*m1 *m2 *n1  *n2 *n3

               5   4   8   13             5   4   8   11   2
    - 48*a33*m1 *m2 *n1 *n2   - 648*a33*m1 *m2 *n1 *n2  *n3

                5   4   8   9   4             5   4   6   15
    + 432*a33*m1 *m2 *n1 *n2 *n3  + 160*a33*m1 *m2 *n1 *n2

                5   4   6   13   2             5   4   6   11   4
    - 360*a33*m1 *m2 *n1 *n2  *n3  - 600*a33*m1 *m2 *n1 *n2  *n3

               5   4   4   17             5   4   4   15   2
    + 48*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

                5   4   4   13   4            5   4   2   19
    - 240*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1 *n2

               5   4   2   17   2             5   4   2   15   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

              4   5   19   2            4   5   17   4
    + 4*a33*m1 *m2 *n1  *n2  - 52*a33*m1 *m2 *n1  *n2

               4   5   17   2   2            4   5   15   6
    + 60*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2

                4   5   15   4   2             4   5   15   2   4
    - 240*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   8             4   5   13   6   2
    + 232*a33*m1 *m2 *n1  *n2  - 480*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   4   4             4   5   11   10
    - 240*a33*m1 *m2 *n1  *n2 *n3  + 216*a33*m1 *m2 *n1  *n2

                4   5   11   8   2             4   5   11   6   4
    + 480*a33*m1 *m2 *n1  *n2 *n3  - 600*a33*m1 *m2 *n1  *n2 *n3

                4   5   9   12             4   5   9   10   2
    - 216*a33*m1 *m2 *n1 *n2   + 864*a33*m1 *m2 *n1 *n2  *n3

                4   5   9   8   4             4   5   7   14
    + 432*a33*m1 *m2 *n1 *n2 *n3  - 232*a33*m1 *m2 *n1 *n2

                4   5   7   12   2             4   5   7   10   4
    - 192*a33*m1 *m2 *n1 *n2  *n3  + 744*a33*m1 *m2 *n1 *n2  *n3

               4   5   5   16             4   5   5   14   2
    + 40*a33*m1 *m2 *n1 *n2   - 480*a33*m1 *m2 *n1 *n2  *n3

                4   5   5   12   4            4   5   3   18
    - 240*a33*m1 *m2 *n1 *n2  *n3  + 52*a33*m1 *m2 *n1 *n2

               4   5   3   16   2             4   5   3   14   4
    - 48*a33*m1 *m2 *n1 *n2  *n3  - 264*a33*m1 *m2 *n1 *n2  *n3

              4   5      20            4   5      18   2
    - 4*a33*m1 *m2 *n1*n2   + 36*a33*m1 *m2 *n1*n2  *n3

               4   5      16   4            3   6   18   3
    + 48*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1 *m2 *n1  *n2

               3   6   16   5             3   6   16   3   2
    - 48*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                3   6   14   7            3   6   14   5   2
    - 160*a33*m1 *m2 *n1  *n2  - 80*a33*m1 *m2 *n1  *n2 *n3

                3   6   14   3   4            3   6   12   9
    + 160*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2

                3   6   12   7   2            3   6   12   5   4
    - 640*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   11             3   6   10   9   2
    + 288*a33*m1 *m2 *n1  *n2   - 144*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   7   4            3   6   8   13
    - 576*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1 *n2

                3   6   8   11   2            3   6   8   9   4
    + 704*a33*m1 *m2 *n1 *n2  *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

                3   6   6   15             3   6   6   13   2
    - 160*a33*m1 *m2 *n1 *n2   + 304*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   11   4            3   6   4   17
    + 544*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2

                3   6   4   15   2            3   6   4   13   4
    - 192*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   19            3   6   2   17   2
    + 16*a33*m1 *m2 *n1 *n2   - 80*a33*m1 *m2 *n1 *n2  *n3

                3   6   2   15   4           3   6   19   2
    - 128*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   17   4            2   7   17   4           2   7   15   6
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2  + 8*a33*m1 *m2 *n1  *n2

                2   7   15   4   2             2   7   13   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 120*a33*m1 *m2 *n1  *n2

                2   7   13   6   2             2   7   13   4   4
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                2   7   11   10             2   7   11   8   2
    - 104*a33*m1 *m2 *n1  *n2   - 312*a33*m1 *m2 *n1  *n2 *n3

               2   7   11   6   4             2   7   9   12
    + 96*a33*m1 *m2 *n1  *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

                2   7   9   10   2             2   7   9   8   4
    - 360*a33*m1 *m2 *n1 *n2  *n3  - 264*a33*m1 *m2 *n1 *n2 *n3

                2   7   7   14             2   7   7   12   2
    + 120*a33*m1 *m2 *n1 *n2   + 168*a33*m1 *m2 *n1 *n2  *n3

                2   7   7   10   4           2   7   5   16
    - 192*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2

                2   7   5   14   2             2   7   5   12   4
    + 264*a33*m1 *m2 *n1 *n2  *n3  + 168*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   18            2   7   3   16   2
    - 24*a33*m1 *m2 *n1 *n2   + 24*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   14   4            2   7      18   2
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

               2   7      16   4               8   16   5
    - 24*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1*m2 *n1  *n2

                  8   14   7               8   14   5   2
    + 32*a33*m1*m2 *n1  *n2  + 60*a33*m1*m2 *n1  *n2 *n3

                  8   12   9                8   12   7   2
    - 16*a33*m1*m2 *n1  *n2  + 120*a33*m1*m2 *n1  *n2 *n3

                  8   12   5   4               8   10   11
    + 48*a33*m1*m2 *n1  *n2 *n3  - 64*a33*m1*m2 *n1  *n2

                  8   10   9   2               8   10   7   4
    - 24*a33*m1*m2 *n1  *n2 *n3  + 72*a33*m1*m2 *n1  *n2 *n3

                  8   8   13                8   8   11   2
    - 16*a33*m1*m2 *n1 *n2   - 168*a33*m1*m2 *n1 *n2  *n3

                  8   8   9   4               8   6   15
    - 48*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2

                  8   6   13   2               8   6   11   4
    - 60*a33*m1*m2 *n1 *n2  *n3  - 96*a33*m1*m2 *n1 *n2  *n3

                  8   4   17               8   4   15   2
    + 16*a33*m1*m2 *n1 *n2   + 48*a33*m1*m2 *n1 *n2  *n3

                  8   2   17   2               8   2   15   4
    + 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

              9   15   6            9   13   8            9   13   6   2
    + 4*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2 *n3

              9   11   10            9   11   8   2           9   11   6   4
    + 8*a33*m2 *n1  *n2   + 32*a33*m2 *n1  *n2 *n3  + 8*a33*m2 *n1  *n2 *n3

              9   9   12            9   9   10   2            9   9   8   4
    - 8*a33*m2 *n1 *n2   + 16*a33*m2 *n1 *n2  *n3  + 16*a33*m2 *n1 *n2 *n3

               9   7   14            9   7   12   2           9   5   16
    - 12*a33*m2 *n1 *n2   - 24*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2

               9   5   14   2            9   5   12   4           9   3   16   2
    - 28*a33*m2 *n1 *n2  *n3  - 16*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   14   4
    - 8*a33*m2 *n1 *n2  *n3 )


           2   6   6   4   3             2   6   6   2   5
r333=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   3             2   6   4   4   5
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5                 2   5      7   3   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      5             2   5      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   5   3              2   5      5   3   5
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9                2   5      3   7   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   5             2   5   8   3   3
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      5             2   5   6   5   3
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   5             2   5   4   7   3
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   5              2   4   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   2   3             2   4   2   8   5
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6                 2   4   2   6   4   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   5             2   4   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   6   3              2   4   2   4   4   5
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10                 2   4   2   2   8   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   5             2   4      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   2   3             2   4      9   5
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6                 2   4      7   4   3
       + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   5             2   4      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   6   3              2   4      5   4   5
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10                2   4      3   8   3
       + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   5              2   3   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9      3              2   3   3   7   3   3
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      5              2   3   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   5   3              2   3   3   5   3   5
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9                 2   3   3   3   7   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   5             2   3   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      9   3              2   3   3      7   5
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3                2   3   2   10      3
       - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5                2   3   2   8   3   3
       - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      5              2   3   2   6   5   3
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   5             2   3   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   4   7   3              2   3   2   4   5   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11                2   3   2   2   9   3
       + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   5             2   2   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   4                 2   2   4   8   2   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6                 2   2   4   6   4   3
       + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   5              2   2   4   4   6   3
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   5              2   2   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   8   3              2   2   4   2   6   5
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2                2   2   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   2   3              2   2   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   4   3              2   2   3   7   2   5
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8                 2   2   3   5   6   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   5             2   2   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   8   3             2   2   3   3   6   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12                 2   2   3      10   3
       + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   5             2      5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   5                 2      5   7   3   3
       - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7                 2      5   5   5   3
       + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   5              2      5   3   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   3   7   3              2      5   3   5   5
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   3              2      5      7   5
       + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3                2      4   8   5
       + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   3   3              2      4   6   5   3
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   5             2      4   4   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   4   7   3              2      4   4   5   5
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11                2      4   2   9   3
       - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   5             2      4   11   3
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   5             2   6   8   4
       - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   6                 2   6   6   4   3
       - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8                 2   6   4   6   3
       - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   5             2   6   2   8   3
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   5             2   5   9   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   6                2   5   7   4   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8                 2   5   5   6   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   5             2   5   3   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   8   3             2   5   3   6   5
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   3             2   5      8   5
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

           5   8   5   3            5   8   3   5            5   6   7   3
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   6   5   5          5   4   9   3            5   4   7   5
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      11   2   3            4      11   5
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

           4      9   6             4      9   4   3
       + m1 *m2*n1 *n2 *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

             4      9   2   5            4      7   8
       - 4*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *n3*r496

             4      7   6   3             4      7   4   5
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      5   10             4      5   8   3
       + 3*m1 *m2*n1 *n2  *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

              4      5   6   5          4      3   12
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *n3*r496

           4      3   10   3            4      3   8   5
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   3               3   2   12      3
       + m1 *m2 *n1  *n2 *n3*r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5               3   2   10   3   3
       + 2*m1 *m2 *n1  *n2 *n3*r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      5            3   2   8   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1 *n2 *n3*r496

              3   2   8   5   3             3   2   8   3   5
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   9                3   2   6   7   3
       + 4*m1 *m2 *n1 *n2 *n3*r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   5            3   2   4   11
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *n3*r496

              3   2   4   9   3             3   2   4   7   5
       - 15*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13               3   2   2   11   3
       + 2*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   5          2   3   13   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

           2   3   11   4               2   3   11   2   3
       - m1 *m2 *n1  *n2 *n3*r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   9   6                2   3   9   4   3
       + m1 *m2 *n1 *n2 *n3*r496 - 21*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   5             2   3   7   6   3
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   5          2   3   5   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *n3*r496

              2   3   5   8   3             2   3   5   6   5
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   3   12                2   3   3   10   3
       + m1 *m2 *n1 *n2  *n3*r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   5          2   3      14
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *n3*r496

             2   3      12   3            2   3      10   5
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3                  4   10   5
       - 2*m1*m2 *n1  *n2 *n3*r496 - 5*m1*m2 *n1  *n2 *n3*r496

                4   10   3   3               4   8   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *n3*r496

                 4   8   5   3               4   8   3   5
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   6   9                   4   6   7   3
       - 2*m1*m2 *n1 *n2 *n3*r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   6   5   5               4   4   11
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *n3*r496

                 4   4   9   3                4   4   7   5
       - 13*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   2   13                  4   2   11   3
       - m1*m2 *n1 *n2  *n3*r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   2   9   5               4   13   3
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   11   5          5   11   4               5   9   6
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *n3*r496 - 3*m2 *n1 *n2 *n3*r496

             5   9   4   3            5   7   8               5   7   6   3
       - 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *n3*r496 - 8*m2 *n1 *n2 *n3 *r496

             5   7   4   5          5   5   10               5   5   8   3
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2 *n3 *r496

             5   5   6   5            5   3   10   3
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   3   8   5                6   8   4   2           6   8   2   4
       - 2*m2 *n1 *n2 *n3 *r496)/(4*a33*m1 *n1 *n2 *n3  - 8*a33*m1 *n1 *n2 *n3

              6   4   8   2           6   4   6   4           5      9   5
    - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1 *n2

               5      9   3   2            5      9      4
    - 20*a33*m1 *m2*n1 *n2 *n3  + 16*a33*m1 *m2*n1 *n2*n3

              5      7   7           5      7   5   2
    + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


           2   6   6   5   2             2   6   6   3   4
r334=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   7   2             2   6   4   5   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   6              2   5      7   4   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7   2   4             2   5      5   8
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      5   6   2              2   5      5   4   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   10             2   5      3   8   2
       + 4*a33 *m1 *m2*n1 *n2  *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   6   4             2   5   8   4   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8   2   4             2   5   6   6   2
       - 4*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   4   4             2   5   4   8   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   6   4              2   4   2   8   5
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   8   3   2             2   4   2   8      4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2*n3 *r214

               2   4   2   6   7              2   4   2   6   5   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   3   4             2   4   2   4   9
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   4   7   2              2   4   2   4   5   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   11              2   4   2   2   9   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   7   4             2   4      9   5
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

              2   4      9   3   2             2   4      9      4
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n2*n3 *r216

              2   4      7   7              2   4      7   5   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   3   4             2   4      5   9
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      5   7   2              2   4      5   5   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   11             2   4      3   9   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   7   4              2   3   3   9   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   9   2   2              2   3   3   7   4   2
       - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7   2   4              2   3   3   5   8
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   5   6   2              2   3   3   5   4   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   10              2   3   3   3   8   2
       - 16*a33 *m1 *m2 *n1 *n2  *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   6   4             2   3   3      12
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   3      10   2              2   3   3      8   4
       - 20*a33 *m1 *m2 *n1*n2  *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   4             2   3   2   10   2   2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   2   8   6             2   3   2   8   4   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8   2   4              2   3   2   6   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   4   4             2   3   2   4   10
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *r216

               2   3   2   4   8   2              2   3   2   4   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   12             2   3   2   2   10   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   2   2   8   4             2   2   4   10   3
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   8   5              2   2   4   8   3   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   7              2   2   4   6   5   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   3   4              2   2   4   4   7   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   5   4              2   2   4   2   11
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   2   9   2              2   2   4   2   7   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   11   2             2   2   4   9   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   3             2   2   3   9   5
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   9   3   2              2   2   3   7   7
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   7   5   2              2   2   3   7   3   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   9              2   2   3   5   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   5   4             2   2   3   3   11
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   3   9   2             2   2   3   3   7   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      13              2   2   3      11   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      9   4             2      5   9   4
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   6              2      5   7   4   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   8              2      5   5   6   2
       + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   4   4              2      5   3   10
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2  *r214

               2      5   3   8   2              2      5   3   6   4
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      10   2              2      5      8   4
       + 16*a33 *m1*m2 *n1*n2  *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   4             2      4   8   6
       + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   4   2              2      4   6   6   2
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   4   4             2      4   4   10
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2  *r216

               2      4   4   8   2              2      4   4   6   4
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   12             2      4   2   10   2
       - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      4   2   8   4             2      4   12   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   10   4             2   6   8   5
       - 4*a33 *m1*m2 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

              2   6   6   7              2   6   6   5   2
       - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   9              2   6   4   7   2
       - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   5   4             2   6   2   9   2
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   7   4             2   5   9   5
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *r216

              2   5   7   7             2   5   7   5   2
       + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   9              2   5   5   7   2
       + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   5   4             2   5   3   11
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   5   3   9   2             2   5   3   7   4
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      11   2             2   5      9   4
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

           5   8   6   2            5   8   4   4            5   6   8   2
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   6   6   4          5   4   10   2            5   4   8   4
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2  *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      11   3   2            4      11      4
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n2*n3 *r496

           4      9   7          4      9   5   2
       + m1 *m2*n1 *n2 *r496 - m1 *m2*n1 *n2 *n3 *r496

             4      9   3   4            4      7   9
       - 4*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

             4      7   7   2             4      7   5   4
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      5   11          4      5   9   2
       + 3*m1 *m2*n1 *n2  *r496 - m1 *m2*n1 *n2 *n3 *r496

              4      5   7   4          4      3   13
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           4      3   11   2            4      3   9   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   4            3   2   12   2   2
       + m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   6            3   2   10   4   2
       + 2*m1 *m2 *n1  *n2 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   2   4            3   2   8   8
       - 8*m1 *m2 *n1  *n2 *n3 *r496 + 2*m1 *m2 *n1 *n2 *r496

              3   2   8   6   2             3   2   8   4   4
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   10             3   2   6   8   2
       + 4*m1 *m2 *n1 *n2  *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   6   4            3   2   4   12
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *r496

              3   2   4   10   2             3   2   4   8   4
       - 15*m1 *m2 *n1 *n2  *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   14            3   2   2   12   2
       + 2*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   10   4          2   3   13   3
       - 12*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1  *n2 *r496

           2   3   11   5            2   3   11   3   2
       - m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   9   7             2   3   9   5   2
       + m1 *m2 *n1 *n2 *r496 - 21*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   3   4             2   3   7   7   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   5   4          2   3   5   11
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

              2   3   5   9   2             2   3   5   7   4
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   3   13             2   3   3   11   2
       + m1 *m2 *n1 *n2  *r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   9   4          2   3      15
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *r496

             2   3      13   2            2   3      11   4
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   4               4   10   6
       - 2*m1*m2 *n1  *n2 *r496 - 5*m1*m2 *n1  *n2 *r496

                4   10   4   2               4   8   8
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *r496

                 4   8   6   2               4   8   4   4
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   6   10                4   6   8   2
       - 2*m1*m2 *n1 *n2  *r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   6   6   4               4   4   12
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *r496

                 4   4   10   2                4   4   8   4
       - 13*m1*m2 *n1 *n2  *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   2   14               4   2   12   2
       - m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   2   10   4               4   14   2
       - 4*m1*m2 *n1 *n2  *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   12   4          5   11   5            5   9   7
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *r496 - 3*m2 *n1 *n2 *r496

             5   9   5   2            5   7   9            5   7   7   2
       - 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 - 8*m2 *n1 *n2 *n3 *r496

             5   7   5   4          5   5   11            5   5   9   2
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *r496 - 7*m2 *n1 *n2 *n3 *r496

             5   5   7   4            5   3   11   2
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   3   9   4                6   8   4   2           6   8   2   4
       - 2*m2 *n1 *n2 *n3 *r496)/(4*a33*m1 *n1 *n2 *n3  - 8*a33*m1 *n1 *n2 *n3

              6   4   8   2           6   4   6   4           5      9   5
    - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1 *n2

               5      9   3   2            5      9      4
    - 20*a33*m1 *m2*n1 *n2 *n3  + 16*a33*m1 *m2*n1 *n2*n3

              5      7   7           5      7   5   2
    + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


              2   11   9   5   2             2   11   9   3   4
r335=( - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   11   7   7   2             2   11   7   5   4
       - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   10      10   6              2   10      10   4   2
       - 4*a33 *m1  *m2*n1  *n2 *r214 + 24*a33 *m1  *m2*n1  *n2 *n3 *r214

               2   10      10   2   4             2   10      8   8
       - 24*a33 *m1  *m2*n1  *n2 *n3 *r214 - 8*a33 *m1  *m2*n1 *n2 *r214

               2   10      8   6   2              2   10      8   4   4
       + 12*a33 *m1  *m2*n1 *n2 *n3 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      6   10              2   10      6   8   2
       - 4*a33 *m1  *m2*n1 *n2  *r214 - 12*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      6   6   4             2   10   11   4   2
       + 48*a33 *m1  *m2*n1 *n2 *n3 *r214 - 2*a33 *m1  *n1  *n2 *n3 *r216

              2   10   11   2   4             2   10   9   6   2
       + 4*a33 *m1  *n1  *n2 *n3 *r216 - 4*a33 *m1  *n1 *n2 *n3 *r216

              2   10   9   4   4             2   10   7   8   2
       + 8*a33 *m1  *n1 *n2 *n3 *r216 - 2*a33 *m1  *n1 *n2 *n3 *r216

              2   10   7   6   4              2   9   2   11   5
       + 4*a33 *m1  *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

               2   9   2   11   3   2              2   9   2   11      4
       - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   9   2   9   7              2   9   2   9   5   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 44*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   9   2   9   3   4              2   9   2   7   9
       - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *r214

               2   9   2   7   7   2              2   9   2   7   5   4
       + 92*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   5   11               2   9   2   5   7   4
       - 16*a33 *m1 *m2 *n1 *n2  *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9      12   5              2   9      12   3   2
       - 2*a33 *m1 *m2*n1  *n2 *r216 + 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      12      4             2   9      10   7
       - 8*a33 *m1 *m2*n1  *n2*n3 *r216 - 6*a33 *m1 *m2*n1  *n2 *r216

               2   9      10   5   2             2   9      10   3   4
       + 14*a33 *m1 *m2*n1  *n2 *n3 *r216 + 8*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      8   9             2   9      8   7   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   9      8   5   4             2   9      6   11
       + 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2  *r216

              2   9      6   9   2              2   9      6   7   4
       - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 + 24*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   8   3   12   4              2   8   3   12   2   2
       - 24*a33 *m1 *m2 *n1  *n2 *r214 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   12   4              2   8   3   10   6
       - 8*a33 *m1 *m2 *n1  *n3 *r214 + 12*a33 *m1 *m2 *n1  *n2 *r214

                2   8   3   10   4   2               2   8   3   10   2   4
       - 152*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 112*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   3   8   8              2   8   3   8   6   2
       + 72*a33 *m1 *m2 *n1 *n2 *r214 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   3   8   4   4              2   8   3   6   10
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

                2   8   3   6   8   2               2   8   3   6   6   4
       + 148*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   4   12              2   8   3   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2  *r214 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   3   4   8   4             2   8   2   13   4
       + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *r216

               2   8   2   13   2   2             2   8   2   13   4
       - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

               2   8   2   11   6              2   8   2   11   4   2
       + 10*a33 *m1 *m2 *n1  *n2 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   11   2   4             2   8   2   9   8
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2 *r216

               2   8   2   9   6   2              2   8   2   9   4   4
       + 66*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   7   10              2   8   2   7   8   2
       - 18*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   7   6   4             2   8   2   5   12
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

               2   8   2   5   8   4              2   7   4   13   3
       + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   13      2              2   7   4   11   5
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *r214

                2   7   4   11   3   2              2   7   4   11      4
       + 132*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   4   9   7               2   7   4   9   5   2
       - 64*a33 *m1 *m2 *n1 *n2 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   9   3   4              2   7   4   7   9
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *r214

                2   7   4   7   7   2               2   7   4   7   5   4
       - 264*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   5   11              2   7   4   5   9   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   5   7   4              2   7   4   3   13
       - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   3   11   2               2   7   4   3   9   4
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   3   14   3             2   7   3   14      2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   7   3   12   5              2   7   3   12   3   2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   12      4              2   7   3   10   7
       + 16*a33 *m1 *m2 *n1  *n2*n3 *r216 + 36*a33 *m1 *m2 *n1  *n2 *r216

               2   7   3   10   5   2              2   7   3   10   3   4
       - 52*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 64*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   8   9              2   7   3   8   7   2
       + 24*a33 *m1 *m2 *n1 *n2 *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   8   5   4              2   7   3   6   11
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 14*a33 *m1 *m2 *n1 *n2  *r216

               2   7   3   6   9   2              2   7   3   6   7   4
       + 94*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   4   13              2   7   3   4   11   2
       - 12*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   4   9   4             2   6   5   14   2
       + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   6   5   12   4              2   6   5   12   2   2
       + 32*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   12   4             2   6   5   10   6
       - 8*a33 *m1 *m2 *n1  *n3 *r214 - 4*a33 *m1 *m2 *n1  *n2 *r214

                2   6   5   10   4   2              2   6   5   10   2   4
       + 124*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   5   8   8              2   6   5   8   6   2
       - 80*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   5   8   4   4             2   6   5   6   10
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

                2   6   5   6   8   2              2   6   5   6   6   4
       - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   4   12              2   6   5   4   10   2
       + 32*a33 *m1 *m2 *n1 *n2  *r214 - 44*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   4   8   4             2   6   5   2   14
       - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

               2   6   5   2   12   2              2   6   5   2   10   4
       + 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 48*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   6   4   15   2              2   6   4   13   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r216

               2   6   4   13   2   2             2   6   4   13   4
       + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

               2   6   4   11   6              2   6   4   11   4   2
       - 20*a33 *m1 *m2 *n1  *n2 *r216 - 46*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   11   2   4              2   6   4   9   8
       + 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r216

                2   6   4   9   6   2              2   6   4   9   4   4
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   7   10             2   6   4   7   8   2
       + 42*a33 *m1 *m2 *n1 *n2  *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   4   7   6   4             2   6   4   5   12
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

               2   6   4   5   10   2              2   6   4   5   8   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   3   14              2   6   4   3   12   2
       - 8*a33 *m1 *m2 *n1 *n2  *r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   3   10   4              2   5   6   13      2
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   11   3   2              2   5   6   11      4
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   9   5   2               2   5   6   9   3   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   7   7   2              2   5   6   7   5   4
       - 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   5   9   2               2   5   6   5   7   4
       - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   3   11   2              2   5   6   3   9   4
       - 28*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6      13   2             2   5   6      11   4
       + 8*a33 *m1 *m2 *n1*n2  *n3 *r214 + 8*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   5   5   14   3             2   5   5   14      2
       + 2*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   5   5   12   5             2   5   5   12   3   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   12      4              2   5   5   10   7
       + 24*a33 *m1 *m2 *n1  *n2*n3 *r216 - 18*a33 *m1 *m2 *n1  *n2 *r216

               2   5   5   10   5   2             2   5   5   10   3   4
       - 46*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   8   7   2              2   5   5   8   5   4
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   6   11              2   5   5   6   9   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 42*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   6   7   4             2   5   5   4   13
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   4   11   2             2   5   5   4   9   4
       + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5   2   15              2   5   5   2   13   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 + 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   5   2   11   4             2   4   7   14   2
       + 24*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   4   7   12   4              2   4   7   12   2   2
       + 32*a33 *m1 *m2 *n1  *n2 *r214 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   4   7   10   6               2   4   7   10   4   2
       - 4*a33 *m1 *m2 *n1  *n2 *r214 + 180*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   7   10   2   4              2   4   7   8   8
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *r214

                2   4   7   8   6   2               2   4   7   8   4   4
       + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   6   10               2   4   7   6   8   2
       - 4*a33 *m1 *m2 *n1 *n2  *r214 - 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   6   6   4              2   4   7   4   12
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *r214

               2   4   7   4   10   2               2   4   7   4   8   4
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   2   14              2   4   7   2   12   2
       - 4*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   7   2   10   4             2   4   6   15   2
       + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

              2   4   6   13   4              2   4   6   13   2   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   11   6              2   4   6   11   2   4
       - 18*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   9   6   2              2   4   6   9   4   4
       - 100*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   7   10              2   4   6   7   8   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   4   6   7   6   4             2   4   6   5   12
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

              2   4   6   5   10   2              2   4   6   5   8   4
       - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   3   14             2   4   6   3   12   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   3   10   4             2   4   6      14   2
       + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   4   6      12   4              2   3   8   13   3
       + 4*a33 *m1 *m2 *n1*n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   3   8   11   5               2   3   8   11   3   2
       + 48*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   9   7               2   3   8   9   5   2
       + 64*a33 *m1 *m2 *n1 *n2 *r214 + 140*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   9   3   4              2   3   8   7   9
       - 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *r214

                2   3   8   7   7   2               2   3   8   7   5   4
       + 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   5   11              2   3   8   5   9   2
       - 48*a33 *m1 *m2 *n1 *n2  *r214 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   5   7   4              2   3   8   3   13
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

               2   3   8   3   11   2               2   3   8   3   9   4
       - 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   8      13   2             2   3   8      11   4
       + 8*a33 *m1 *m2 *n1*n2  *n3 *r214 + 8*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   7   14   3             2   3   7   12   5
       + 8*a33 *m1 *m2 *n1  *n2 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r216

               2   3   7   12   3   2              2   3   7   10   7
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1  *n2 *r216

               2   3   7   10   5   2              2   3   7   10   3   4
       + 50*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   7   8   9               2   3   7   8   7   2
       - 24*a33 *m1 *m2 *n1 *n2 *r216 - 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   8   5   4              2   3   7   6   11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2  *r216

                2   3   7   6   9   2              2   3   7   6   7   4
       - 108*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   4   13             2   3   7   4   11   2
       + 12*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   4   9   4             2   3   7   2   15
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   3   7   2   13   2              2   3   7   2   11   4
       + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   9   12   4              2   2   9   10   6
       - 24*a33 *m1 *m2 *n1  *n2 *r214 + 12*a33 *m1 *m2 *n1  *n2 *r214

                2   2   9   10   4   2              2   2   9   8   8
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 72*a33 *m1 *m2 *n1 *n2 *r214

               2   2   9   8   6   2               2   2   9   8   4   4
       - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   6   10               2   2   9   6   8   2
       + 12*a33 *m1 *m2 *n1 *n2  *r214 + 172*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   6   6   4              2   2   9   4   12
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1 *n2  *r214

               2   2   9   4   10   2               2   2   9   4   8   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   2   12   2              2   2   9   2   10   4
       - 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 24*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   8   13   4              2   2   8   11   6
       + 12*a33 *m1 *m2 *n1  *n2 *r216 + 14*a33 *m1 *m2 *n1  *n2 *r216

               2   2   8   11   4   2              2   2   8   9   8
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *r216

               2   2   8   9   6   2              2   2   8   9   4   4
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   7   10              2   2   8   7   8   2
       - 36*a33 *m1 *m2 *n1 *n2  *r216 - 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   7   6   4             2   2   8   5   12
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

               2   2   8   5   10   2              2   2   8   5   8   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   3   14              2   2   8   3   12   2
       + 6*a33 *m1 *m2 *n1 *n2  *r216 - 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   3   10   4             2   2   8      14   2
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   2   8      12   4              2      10   11   5
       + 4*a33 *m1 *m2 *n1*n2  *n3 *r216 - 16*a33 *m1*m2  *n1  *n2 *r214

               2      10   9   7              2      10   9   5   2
       - 16*a33 *m1*m2  *n1 *n2 *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   7   9              2      10   7   7   2
       + 16*a33 *m1*m2  *n1 *n2 *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   7   5   4              2      10   5   11
       - 48*a33 *m1*m2  *n1 *n2 *n3 *r214 + 16*a33 *m1*m2  *n1 *n2  *r214

               2      10   5   9   2              2      10   5   7   4
       + 24*a33 *m1*m2  *n1 *n2 *n3 *r214 - 24*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   3   11   2              2      10   3   9   4
       + 24*a33 *m1*m2  *n1 *n2  *n3 *r214 + 24*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      9   12   5              2      9   10   7
       + 8*a33 *m1*m2 *n1  *n2 *r216 + 18*a33 *m1*m2 *n1  *n2 *r216

               2      9   10   5   2             2      9   8   9
       + 30*a33 *m1*m2 *n1  *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2 *r216

               2      9   8   7   2              2      9   8   5   4
       + 66*a33 *m1*m2 *n1 *n2 *n3 *r216 + 24*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   6   11              2      9   6   9   2
       - 10*a33 *m1*m2 *n1 *n2  *r216 + 34*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   6   7   4             2      9   4   13
       + 40*a33 *m1*m2 *n1 *n2 *n3 *r216 - 6*a33 *m1*m2 *n1 *n2  *r216

               2      9   4   11   2             2      9   4   9   4
       - 10*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9   2   13   2             2      9   2   11   4
       - 8*a33 *m1*m2 *n1 *n2  *n3 *r216 - 8*a33 *m1*m2 *n1 *n2  *n3 *r216

              2   11   10   6             2   11   8   8
       - 4*a33 *m2  *n1  *n2 *r214 - 8*a33 *m2  *n1 *n2 *r214

               2   11   8   6   2             2   11   6   10
       - 12*a33 *m2  *n1 *n2 *n3 *r214 - 4*a33 *m2  *n1 *n2  *r214

               2   11   6   8   2             2   11   6   6   4
       - 20*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   11   4   10   2             2   11   4   8   4
       - 8*a33 *m2  *n1 *n2  *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   10   11   6             2   10   9   8
       + 2*a33 *m2  *n1  *n2 *r216 + 6*a33 *m2  *n1 *n2 *r216

              2   10   9   6   2             2   10   7   10
       + 6*a33 *m2  *n1 *n2 *n3 *r216 + 6*a33 *m2  *n1 *n2  *r216

               2   10   7   8   2             2   10   7   6   4
       + 16*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2 *n3 *r216

              2   10   5   12              2   10   5   10   2
       + 2*a33 *m2  *n1 *n2  *r216 + 14*a33 *m2  *n1 *n2  *n3 *r216

              2   10   5   8   4             2   10   3   12   2
       + 8*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2  *n3 *r216

              2   10   3   10   4            10   11   6   2
       + 4*a33 *m2  *n1 *n2  *n3 *r216 + 3*m1  *n1  *n2 *n3 *r496

             10   11   4   4            10   9   8   2
       - 6*m1  *n1  *n2 *n3 *r496 - 2*m1  *n1 *n2 *n3 *r496

             10   9   6   4            10   7   10   2
       + 4*m1  *n1 *n2 *n3 *r496 - 5*m1  *n1 *n2  *n3 *r496

              10   7   8   4          9      14   3   2
       + 10*m1  *n1 *n2 *n3 *r496 - m1 *m2*n1  *n2 *n3 *r496

             9      14      4            9      12   7
       + 2*m1 *m2*n1  *n2*n3 *r496 + 3*m1 *m2*n1  *n2 *r496

              9      12   5   2             9      12   3   4
       - 26*m1 *m2*n1  *n2 *n3 *r496 + 34*m1 *m2*n1  *n2 *n3 *r496

           9      10   9             9      10   7   2
       + m1 *m2*n1  *n2 *r496 + 16*m1 *m2*n1  *n2 *n3 *r496

              9      10   5   4            9      8   11
       - 38*m1 *m2*n1  *n2 *n3 *r496 - 7*m1 *m2*n1 *n2  *r496

              9      8   9   2             9      8   7   4
       + 26*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             9      6   13             9      6   11   2
       - 5*m1 *m2*n1 *n2  *r496 - 15*m1 *m2*n1 *n2  *n3 *r496

              9      6   9   4            9   13   5   2
       + 60*m1 *m2*n1 *n2 *n3 *r496 - 2*m1 *n1  *n2 *n3 *r483

             9   13   3   4            9   11   7   2
       + 4*m1 *n1  *n2 *n3 *r483 - 2*m1 *n1  *n2 *n3 *r483

             9   11   5   4            9   9   9   2
       + 4*m1 *n1  *n2 *n3 *r483 + 2*m1 *n1 *n2 *n3 *r483

             9   9   7   4            9   7   11   2
       - 4*m1 *n1 *n2 *n3 *r483 + 2*m1 *n1 *n2  *n3 *r483

             9   7   9   4          8   2   15   4
       - 4*m1 *n1 *n2 *n3 *r483 - m1 *m2 *n1  *n2 *r496

             8   2   15   2   2            8   2   15   4
       + 4*m1 *m2 *n1  *n2 *n3 *r496 - 2*m1 *m2 *n1  *n3 *r496

              8   2   13   6             8   2   13   4   2
       - 21*m1 *m2 *n1  *n2 *r496 + 74*m1 *m2 *n1  *n2 *n3 *r496

              8   2   13   2   4            8   2   11   8
       - 40*m1 *m2 *n1  *n2 *n3 *r496 - 5*m1 *m2 *n1  *n2 *r496

              8   2   11   6   2              8   2   11   4   4
       - 99*m1 *m2 *n1  *n2 *n3 *r496 + 204*m1 *m2 *n1  *n2 *n3 *r496

              8   2   9   10             8   2   9   8   2
       + 29*m1 *m2 *n1 *n2  *r496 - 44*m1 *m2 *n1 *n2 *n3 *r496

              8   2   9   6   4            8   2   7   12
       - 50*m1 *m2 *n1 *n2 *n3 *r496 - 6*m1 *m2 *n1 *n2  *r496

               8   2   7   10   2              8   2   7   8   4
       + 125*m1 *m2 *n1 *n2  *n3 *r496 - 142*m1 *m2 *n1 *n2 *n3 *r496

              8   2   5   14              8   2   5   10   4
       - 20*m1 *m2 *n1 *n2  *r496 + 150*m1 *m2 *n1 *n2  *n3 *r496

             8      14   6             8      14   4   2
       - 2*m1 *m2*n1  *n2 *r483 + 12*m1 *m2*n1  *n2 *n3 *r483

              8      14   2   4            8      12   8
       - 12*m1 *m2*n1  *n2 *n3 *r483 - 4*m1 *m2*n1  *n2 *r483

             8      12   6   2             8      12   4   4
       + 6*m1 *m2*n1  *n2 *n3 *r483 + 12*m1 *m2*n1  *n2 *n3 *r483

              8      10   8   2             8      10   6   4
       - 18*m1 *m2*n1  *n2 *n3 *r483 + 36*m1 *m2*n1  *n2 *n3 *r483

             8      8   12            8      8   10   2
       + 4*m1 *m2*n1 *n2  *r483 - 6*m1 *m2*n1 *n2  *n3 *r483

              8      8   8   4            8      6   14
       - 12*m1 *m2*n1 *n2 *n3 *r483 + 2*m1 *m2*n1 *n2  *r483

             8      6   12   2             8      6   10   4
       + 6*m1 *m2*n1 *n2  *n3 *r483 - 24*m1 *m2*n1 *n2  *n3 *r483

             7   3   16   3            7   3   16      2
       + 2*m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2*n3 *r496

              7   3   14   5             7   3   14   3   2
       + 41*m1 *m2 *n1  *n2 *r496 - 77*m1 *m2 *n1  *n2 *n3 *r496

              7   3   14      4             7   3   12   7
       + 22*m1 *m2 *n1  *n2*n3 *r496 - 42*m1 *m2 *n1  *n2 *r496

               7   3   12   5   2              7   3   12   3   4
       + 332*m1 *m2 *n1  *n2 *n3 *r496 - 280*m1 *m2 *n1  *n2 *n3 *r496

              7   3   10   9             7   3   10   7   2
       - 94*m1 *m2 *n1  *n2 *r496 - 10*m1 *m2 *n1  *n2 *n3 *r496

               7   3   10   5   4             7   3   8   11
       + 476*m1 *m2 *n1  *n2 *n3 *r496 + 62*m1 *m2 *n1 *n2  *r496

               7   3   8   9   2              7   3   8   7   4
       - 299*m1 *m2 *n1 *n2 *n3 *r496 + 160*m1 *m2 *n1 *n2 *n3 *r496

              7   3   6   13              7   3   6   11   2
       + 45*m1 *m2 *n1 *n2  *r496 + 167*m1 *m2 *n1 *n2  *n3 *r496

               7   3   6   9   4             7   3   4   15
       - 418*m1 *m2 *n1 *n2 *n3 *r496 - 30*m1 *m2 *n1 *n2  *r496

              7   3   4   13   2              7   3   4   11   4
       + 50*m1 *m2 *n1 *n2  *n3 *r496 + 200*m1 *m2 *n1 *n2  *n3 *r496

             7   2   15   5             7   2   15   3   2
       + 8*m1 *m2 *n1  *n2 *r483 - 24*m1 *m2 *n1  *n2 *n3 *r483

              7   2   15      4            7   2   13   7
       + 12*m1 *m2 *n1  *n2*n3 *r483 + 8*m1 *m2 *n1  *n2 *r483

              7   2   13   5   2             7   2   13   3   4
       + 24*m1 *m2 *n1  *n2 *n3 *r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

              7   2   11   9             7   2   11   7   2
       - 16*m1 *m2 *n1  *n2 *r483 + 72*m1 *m2 *n1  *n2 *n3 *r483

              7   2   11   5   4             7   2   9   11
       - 24*m1 *m2 *n1  *n2 *n3 *r483 - 16*m1 *m2 *n1 *n2  *r483

              7   2   9   9   2              7   2   9   7   4
       - 24*m1 *m2 *n1 *n2 *n3 *r483 + 120*m1 *m2 *n1 *n2 *n3 *r483

             7   2   7   13             7   2   7   11   2
       + 8*m1 *m2 *n1 *n2  *r483 - 48*m1 *m2 *n1 *n2  *n3 *r483

              7   2   7   9   4            7   2   5   15
       + 12*m1 *m2 *n1 *n2 *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

              7   2   5   11   4          6   4   17   2
       - 60*m1 *m2 *n1 *n2  *n3 *r483 - m1 *m2 *n1  *n2 *r496

              6   4   15   4             6   4   15   2   2
       - 36*m1 *m2 *n1  *n2 *r496 + 41*m1 *m2 *n1  *n2 *n3 *r496

              6   4   15   4              6   4   13   6
       - 10*m1 *m2 *n1  *n3 *r496 + 130*m1 *m2 *n1  *n2 *r496

               6   4   13   4   2              6   4   13   2   4
       - 406*m1 *m2 *n1  *n2 *n3 *r496 + 170*m1 *m2 *n1  *n2 *n3 *r496

              6   4   11   8              6   4   11   6   2
       + 84*m1 *m2 *n1  *n2 *r496 + 463*m1 *m2 *n1  *n2 *n3 *r496

               6   4   11   4   4              6   4   9   10
       - 722*m1 *m2 *n1  *n2 *n3 *r496 - 221*m1 *m2 *n1 *n2  *r496

               6   4   9   8   2              6   4   9   6   4
       + 488*m1 *m2 *n1 *n2 *n3 *r496 + 476*m1 *m2 *n1 *n2 *n3 *r496

              6   4   7   12              6   4   7   10   2
       - 20*m1 *m2 *n1 *n2  *r496 - 487*m1 *m2 *n1 *n2  *n3 *r496

               6   4   7   8   4              6   4   5   14
       + 638*m1 *m2 *n1 *n2 *n3 *r496 + 100*m1 *m2 *n1 *n2  *r496

              6   4   5   12   2              6   4   5   10   4
       + 10*m1 *m2 *n1 *n2  *n3 *r496 - 590*m1 *m2 *n1 *n2  *n3 *r496

              6   4   3   16             6   4   3   14   2
       - 20*m1 *m2 *n1 *n2  *r496 + 75*m1 *m2 *n1 *n2  *n3 *r496

               6   4   3   12   4             6   3   16   4
       + 150*m1 *m2 *n1 *n2  *n3 *r496 - 12*m1 *m2 *n1  *n2 *r483

              6   3   16   2   2            6   3   16   4
       + 20*m1 *m2 *n1  *n2 *n3 *r483 - 4*m1 *m2 *n1  *n3 *r483

             6   3   14   6             6   3   14   4   2
       + 8*m1 *m2 *n1  *n2 *r483 - 88*m1 *m2 *n1  *n2 *n3 *r483

              6   3   14   2   4             6   3   12   8
       + 68*m1 *m2 *n1  *n2 *n3 *r483 + 52*m1 *m2 *n1  *n2 *r483

              6   3   12   6   2              6   3   12   4   4
       - 68*m1 *m2 *n1  *n2 *n3 *r483 - 104*m1 *m2 *n1  *n2 *n3 *r483

               6   3   10   8   2              6   3   10   6   4
       + 168*m1 *m2 *n1  *n2 *n3 *r483 - 168*m1 *m2 *n1  *n2 *n3 *r483

              6   3   8   12             6   3   8   10   2
       - 52*m1 *m2 *n1 *n2  *r483 + 68*m1 *m2 *n1 *n2  *n3 *r483

               6   3   8   8   4            6   3   6   14
       + 188*m1 *m2 *n1 *n2 *n3 *r483 - 8*m1 *m2 *n1 *n2  *r483

              6   3   6   12   2              6   3   6   10   4
       - 80*m1 *m2 *n1 *n2  *n3 *r483 + 100*m1 *m2 *n1 *n2  *n3 *r483

              6   3   4   16             6   3   4   14   2
       + 12*m1 *m2 *n1 *n2  *r483 - 20*m1 *m2 *n1 *n2  *n3 *r483

              6   3   4   12   4             5   5   16   3
       - 80*m1 *m2 *n1 *n2  *n3 *r483 + 18*m1 *m2 *n1  *n2 *r496

              5   5   16      2              5   5   14   5
       - 15*m1 *m2 *n1  *n2*n3 *r496 - 139*m1 *m2 *n1  *n2 *r496

               5   5   14   3   2             5   5   14      4
       + 234*m1 *m2 *n1  *n2 *n3 *r496 - 60*m1 *m2 *n1  *n2*n3 *r496

              5   5   12   7              5   5   12   5   2
       + 73*m1 *m2 *n1  *n2 *r496 - 730*m1 *m2 *n1  *n2 *n3 *r496

               5   5   12   3   4              5   5   10   9
       + 446*m1 *m2 *n1  *n2 *n3 *r496 + 315*m1 *m2 *n1  *n2 *r496

           5   5   10   7   2              5   5   10   5   4
       + m1 *m2 *n1  *n2 *n3 *r496 - 944*m1 *m2 *n1  *n2 *n3 *r496

               5   5   8   11              5   5   8   9   2
       - 150*m1 *m2 *n1 *n2  *r496 + 945*m1 *m2 *n1 *n2 *n3 *r496

               5   5   6   13              5   5   6   11   2
       - 155*m1 *m2 *n1 *n2  *r496 - 232*m1 *m2 *n1 *n2  *n3 *r496

               5   5   6   9   4             5   5   4   15
       + 944*m1 *m2 *n1 *n2 *n3 *r496 + 75*m1 *m2 *n1 *n2  *r496

               5   5   4   13   2              5   5   4   11   4
       - 152*m1 *m2 *n1 *n2  *n3 *r496 - 446*m1 *m2 *n1 *n2  *n3 *r496

             5   5   2   17             5   5   2   15   2
       - 5*m1 *m2 *n1 *n2  *r496 + 45*m1 *m2 *n1 *n2  *n3 *r496

              5   5   2   13   4            5   4   17   3
       + 60*m1 *m2 *n1 *n2  *n3 *r496 + 8*m1 *m2 *n1  *n2 *r483

             5   4   17      2             5   4   15   5
       - 6*m1 *m2 *n1  *n2*n3 *r483 - 32*m1 *m2 *n1  *n2 *r483

              5   4   15   3   2             5   4   15      4
       + 90*m1 *m2 *n1  *n2 *n3 *r483 - 24*m1 *m2 *n1  *n2*n3 *r483

              5   4   13   7             5   4   13   5   2
       - 48*m1 *m2 *n1  *n2 *r483 - 78*m1 *m2 *n1  *n2 *n3 *r483

               5   4   13   3   4             5   4   11   9
       + 156*m1 *m2 *n1  *n2 *n3 *r483 + 72*m1 *m2 *n1  *n2 *r483

               5   4   11   7   2             5   4   11   5   4
       - 270*m1 *m2 *n1  *n2 *n3 *r483 - 36*m1 *m2 *n1  *n2 *n3 *r483

              5   4   9   11              5   4   9   9   2
       + 72*m1 *m2 *n1 *n2  *r483 + 114*m1 *m2 *n1 *n2 *n3 *r483

               5   4   9   7   4             5   4   7   13
       - 336*m1 *m2 *n1 *n2 *n3 *r483 - 48*m1 *m2 *n1 *n2  *r483

               5   4   7   11   2              5   4   7   9   4
       + 210*m1 *m2 *n1 *n2  *n3 *r483 + 120*m1 *m2 *n1 *n2 *n3 *r483

              5   4   5   15             5   4   5   13   2
       - 32*m1 *m2 *n1 *n2  *r483 - 30*m1 *m2 *n1 *n2  *n3 *r483

               5   4   5   11   4            5   4   3   17
       + 180*m1 *m2 *n1 *n2  *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

              5   4   3   15   2             5   4   3   13   4
       - 30*m1 *m2 *n1 *n2  *n3 *r483 - 60*m1 *m2 *n1 *n2  *n3 *r483

             4   6   17   2             4   6   15   4
       - 5*m1 *m2 *n1  *n2 *r496 + 75*m1 *m2 *n1  *n2 *r496

              4   6   15   2   2              4   6   13   6
       - 75*m1 *m2 *n1  *n2 *n3 *r496 - 155*m1 *m2 *n1  *n2 *r496

               4   6   13   4   2              4   6   13   2   4
       + 450*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

               4   6   11   8              4   6   11   6   2
       - 150*m1 *m2 *n1  *n2 *r496 - 535*m1 *m2 *n1  *n2 *n3 *r496

               4   6   11   4   4              4   6   9   10
       + 590*m1 *m2 *n1  *n2 *n3 *r496 + 315*m1 *m2 *n1 *n2  *r496

               4   6   9   8   2              4   6   9   6   4
       - 626*m1 *m2 *n1 *n2 *n3 *r496 - 638*m1 *m2 *n1 *n2 *n3 *r496

              4   6   7   12              4   6   7   10   2
       + 73*m1 *m2 *n1 *n2  *r496 + 709*m1 *m2 *n1 *n2  *n3 *r496

               4   6   7   8   4              4   6   5   14
       - 476*m1 *m2 *n1 *n2 *n3 *r496 - 139*m1 *m2 *n1 *n2  *r496

               4   6   5   12   2              4   6   5   10   4
       + 146*m1 *m2 *n1 *n2  *n3 *r496 + 722*m1 *m2 *n1 *n2  *n3 *r496

              4   6   3   16              4   6   3   14   2
       + 18*m1 *m2 *n1 *n2  *r496 - 119*m1 *m2 *n1 *n2  *n3 *r496

               4   6   3   12   4             4   6      16   2
       - 170*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1*n2  *n3 *r496

              4   6      14   4            4   5   18   2
       + 10*m1 *m2 *n1*n2  *n3 *r496 - 2*m1 *m2 *n1  *n2 *r483

              4   5   16   4             4   5   16   2   2
       + 28*m1 *m2 *n1  *n2 *r483 - 30*m1 *m2 *n1  *n2 *n3 *r483

             4   5   14   6              4   5   14   4   2
       - 8*m1 *m2 *n1  *n2 *r483 + 150*m1 *m2 *n1  *n2 *n3 *r483

              4   5   14   2   4              4   5   12   8
       - 60*m1 *m2 *n1  *n2 *n3 *r483 - 108*m1 *m2 *n1  *n2 *r483

              4   5   12   6   2              4   5   12   4   4
       + 90*m1 *m2 *n1  *n2 *n3 *r483 + 180*m1 *m2 *n1  *n2 *n3 *r483

               4   5   10   8   2              4   5   10   6   4
       - 330*m1 *m2 *n1  *n2 *n3 *r483 + 120*m1 *m2 *n1  *n2 *n3 *r483

               4   5   8   12              4   5   8   10   2
       + 108*m1 *m2 *n1 *n2  *r483 - 102*m1 *m2 *n1 *n2  *n3 *r483

               4   5   8   8   4            4   5   6   14
       - 336*m1 *m2 *n1 *n2 *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

               4   5   6   12   2             4   5   6   10   4
       + 198*m1 *m2 *n1 *n2  *n3 *r483 - 36*m1 *m2 *n1 *n2  *n3 *r483

              4   5   4   16             4   5   4   14   2
       - 28*m1 *m2 *n1 *n2  *r483 + 42*m1 *m2 *n1 *n2  *n3 *r483

               4   5   4   12   4            4   5   2   18
       + 156*m1 *m2 *n1 *n2  *n3 *r483 + 2*m1 *m2 *n1 *n2  *r483

              4   5   2   16   2             4   5   2   14   4
       - 18*m1 *m2 *n1 *n2  *n3 *r483 - 24*m1 *m2 *n1 *n2  *n3 *r483

              3   7   16   3              3   7   14   5
       - 20*m1 *m2 *n1  *n2 *r496 + 100*m1 *m2 *n1  *n2 *r496

               3   7   14   3   2             3   7   12   7
       - 150*m1 *m2 *n1  *n2 *n3 *r496 - 20*m1 *m2 *n1  *n2 *r496

               3   7   12   5   2              3   7   12   3   4
       + 385*m1 *m2 *n1  *n2 *n3 *r496 - 200*m1 *m2 *n1  *n2 *n3 *r496

               3   7   10   9             3   7   10   7   2
       - 221*m1 *m2 *n1  *n2 *r496 - 41*m1 *m2 *n1  *n2 *n3 *r496

               3   7   10   5   4             3   7   8   11
       + 418*m1 *m2 *n1  *n2 *n3 *r496 + 84*m1 *m2 *n1 *n2  *r496

               3   7   8   9   2              3   7   8   7   4
       - 646*m1 *m2 *n1 *n2 *n3 *r496 - 160*m1 *m2 *n1 *n2 *n3 *r496

               3   7   6   13              3   7   6   11   2
       + 130*m1 *m2 *n1 *n2  *r496 + 136*m1 *m2 *n1 *n2  *n3 *r496

               3   7   6   9   4             3   7   4   15
       - 476*m1 *m2 *n1 *n2 *n3 *r496 - 36*m1 *m2 *n1 *n2  *r496

               3   7   4   13   2              3   7   4   11   4
       + 181*m1 *m2 *n1 *n2  *n3 *r496 + 280*m1 *m2 *n1 *n2  *n3 *r496

           3   7   2   17             3   7   2   15   2
       - m1 *m2 *n1 *n2  *r496 - 25*m1 *m2 *n1 *n2  *n3 *r496

              3   7   2   13   4            3   6   17   3
       - 22*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1  *n2 *r483

              3   6   15   5             3   6   15   3   2
       + 32*m1 *m2 *n1  *n2 *r483 - 60*m1 *m2 *n1  *n2 *n3 *r483

              3   6   13   7              3   6   13   5   2
       + 48*m1 *m2 *n1  *n2 *r483 + 100*m1 *m2 *n1  *n2 *n3 *r483

              3   6   13   3   4             3   6   11   9
       - 80*m1 *m2 *n1  *n2 *n3 *r483 - 72*m1 *m2 *n1  *n2 *r483

               3   6   11   7   2              3   6   11   5   4
       + 220*m1 *m2 *n1  *n2 *n3 *r483 + 100*m1 *m2 *n1  *n2 *n3 *r483

              3   6   9   11              3   6   9   9   2
       - 72*m1 *m2 *n1 *n2  *r483 - 148*m1 *m2 *n1 *n2 *n3 *r483

               3   6   9   7   4             3   6   7   13
       + 188*m1 *m2 *n1 *n2 *n3 *r483 + 48*m1 *m2 *n1 *n2  *r483

               3   6   7   11   2              3   6   7   9   4
       - 204*m1 *m2 *n1 *n2  *n3 *r483 - 168*m1 *m2 *n1 *n2 *n3 *r483

              3   6   5   15             3   6   5   13   2
       + 32*m1 *m2 *n1 *n2  *r483 + 52*m1 *m2 *n1 *n2  *n3 *r483

               3   6   5   11   4            3   6   3   17
       - 104*m1 *m2 *n1 *n2  *n3 *r483 - 8*m1 *m2 *n1 *n2  *r483

              3   6   3   15   2             3   6   3   13   4
       + 44*m1 *m2 *n1 *n2  *n3 *r483 + 68*m1 *m2 *n1 *n2  *n3 *r483

             3   6      17   2            3   6      15   4
       - 4*m1 *m2 *n1*n2  *n3 *r483 - 4*m1 *m2 *n1*n2  *n3 *r483

              2   8   15   4             2   8   13   6
       - 30*m1 *m2 *n1  *n2 *r496 + 45*m1 *m2 *n1  *n2 *r496

               2   8   13   4   2             2   8   11   8
       - 150*m1 *m2 *n1  *n2 *n3 *r496 + 62*m1 *m2 *n1  *n2 *r496

               2   8   11   6   2              2   8   11   4   4
       + 117*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

              2   8   9   10              2   8   9   8   2
       - 94*m1 *m2 *n1 *n2  *r496 + 148*m1 *m2 *n1 *n2 *n3 *r496

               2   8   9   6   4             2   8   7   12
       + 142*m1 *m2 *n1 *n2 *n3 *r496 - 42*m1 *m2 *n1 *n2  *r496

               2   8   7   10   2             2   8   7   8   4
       - 253*m1 *m2 *n1 *n2  *n3 *r496 + 50*m1 *m2 *n1 *n2 *n3 *r496

              2   8   5   14             2   8   5   12   2
       + 41*m1 *m2 *n1 *n2  *r496 - 90*m1 *m2 *n1 *n2  *n3 *r496

               2   8   5   10   4            2   8   3   16
       - 204*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n1 *n2  *r496

              2   8   3   14   2             2   8   3   12   4
       + 46*m1 *m2 *n1 *n2  *n3 *r496 + 40*m1 *m2 *n1 *n2  *n3 *r496

             2   8      16   2            2   8      14   4
       + 2*m1 *m2 *n1*n2  *n3 *r496 + 2*m1 *m2 *n1*n2  *n3 *r496

              2   7   16   4            2   7   14   6
       - 12*m1 *m2 *n1  *n2 *r483 + 8*m1 *m2 *n1  *n2 *r483

              2   7   14   4   2             2   7   12   8
       - 60*m1 *m2 *n1  *n2 *n3 *r483 + 52*m1 *m2 *n1  *n2 *r483

              2   7   12   4   4              2   7   10   8   2
       - 60*m1 *m2 *n1  *n2 *n3 *r483 + 156*m1 *m2 *n1  *n2 *n3 *r483

              2   7   10   6   4             2   7   8   12
       + 12*m1 *m2 *n1  *n2 *n3 *r483 - 52*m1 *m2 *n1 *n2  *r483

              2   7   8   10   2              2   7   8   8   4
       + 24*m1 *m2 *n1 *n2  *n3 *r483 + 120*m1 *m2 *n1 *n2 *n3 *r483

             2   7   6   14              2   7   6   12   2
       - 8*m1 *m2 *n1 *n2  *r483 - 108*m1 *m2 *n1 *n2  *n3 *r483

              2   7   6   10   4             2   7   4   16
       - 24*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2  *r483

              2   7   4   14   2             2   7   4   12   4
       - 24*m1 *m2 *n1 *n2  *n3 *r483 - 60*m1 *m2 *n1 *n2  *n3 *r483

              2   7   2   16   2             2   7   2   14   4
       + 12*m1 *m2 *n1 *n2  *n3 *r483 + 12*m1 *m2 *n1 *n2  *n3 *r483

                 9   14   5               9   12   7
       - 20*m1*m2 *n1  *n2 *r496 - 6*m1*m2 *n1  *n2 *r496

                 9   12   5   2                9   10   9
       - 75*m1*m2 *n1  *n2 *n3 *r496 + 29*m1*m2 *n1  *n2 *r496

                 9   10   7   2                9   10   5   4
       - 24*m1*m2 *n1  *n2 *n3 *r496 - 60*m1*m2 *n1  *n2 *n3 *r496

                9   8   11                9   8   9   2
       - 5*m1*m2 *n1 *n2  *r496 + 64*m1*m2 *n1 *n2 *n3 *r496

                 9   8   7   4                9   6   13
       + 10*m1*m2 *n1 *n2 *n3 *r496 - 21*m1*m2 *n1 *n2  *r496

                 9   6   11   2                9   6   9   4
       - 22*m1*m2 *n1 *n2  *n3 *r496 + 38*m1*m2 *n1 *n2 *n3 *r496

              9   4   15                9   4   13   2
       - m1*m2 *n1 *n2  *r496 - 37*m1*m2 *n1 *n2  *n3 *r496

                 9   4   11   4               9   2   15   2
       - 34*m1*m2 *n1 *n2  *n3 *r496 - 2*m1*m2 *n1 *n2  *n3 *r496

                9   2   13   4               8   15   5
       - 2*m1*m2 *n1 *n2  *n3 *r496 - 8*m1*m2 *n1  *n2 *r483

                8   13   7                8   13   5   2
       - 8*m1*m2 *n1  *n2 *r483 - 30*m1*m2 *n1  *n2 *n3 *r483

                 8   11   9                8   11   7   2
       + 16*m1*m2 *n1  *n2 *r483 - 30*m1*m2 *n1  *n2 *n3 *r483

                 8   11   5   4                8   9   11
       - 24*m1*m2 *n1  *n2 *n3 *r483 + 16*m1*m2 *n1 *n2  *r483

                 8   9   9   2                8   9   7   4
       + 42*m1*m2 *n1 *n2 *n3 *r483 - 12*m1*m2 *n1 *n2 *n3 *r483

                8   7   13                8   7   11   2
       - 8*m1*m2 *n1 *n2  *r483 + 42*m1*m2 *n1 *n2  *n3 *r483

                 8   7   9   4               8   5   15
       + 36*m1*m2 *n1 *n2 *n3 *r483 - 8*m1*m2 *n1 *n2  *r483

                 8   5   13   2                8   5   11   4
       - 12*m1*m2 *n1 *n2  *n3 *r483 + 12*m1*m2 *n1 *n2  *n3 *r483

                 8   3   15   2                8   3   13   4
       - 12*m1*m2 *n1 *n2  *n3 *r483 - 12*m1*m2 *n1 *n2  *n3 *r483

             10   13   6            10   11   8             10   11   6   2
       - 5*m2  *n1  *n2 *r496 - 7*m2  *n1  *n2 *r496 - 15*m2  *n1  *n2 *n3 *r496

           10   9   10             10   9   8   2
       + m2  *n1 *n2  *r496 - 16*m2  *n1 *n2 *n3 *r496

              10   9   6   4            10   7   12
       - 10*m2  *n1 *n2 *n3 *r496 + 3*m2  *n1 *n2  *r496

             10   7   10   2            10   7   8   4
       + 5*m2  *n1 *n2  *n3 *r496 - 4*m2  *n1 *n2 *n3 *r496

             10   5   12   2            10   5   10   4
       + 6*m2  *n1 *n2  *n3 *r496 + 6*m2  *n1 *n2  *n3 *r496

             9   14   6            9   12   8            9   12   6   2
       - 2*m2 *n1  *n2 *r483 - 4*m2 *n1  *n2 *r483 - 6*m2 *n1  *n2 *n3 *r483

              9   10   8   2            9   10   6   4
       - 10*m2 *n1  *n2 *n3 *r483 - 4*m2 *n1  *n2 *n3 *r483

             9   8   12            9   8   10   2            9   8   8   4
       + 4*m2 *n1 *n2  *r483 + 2*m2 *n1 *n2  *n3 *r483 - 4*m2 *n1 *n2 *n3 *r483

             9   6   14             9   6   12   2
       + 2*m2 *n1 *n2  *r483 + 10*m2 *n1 *n2  *n3 *r483

             9   6   10   4            9   4   14   2
       + 4*m2 *n1 *n2  *n3 *r483 + 4*m2 *n1 *n2  *n3 *r483

             9   4   12   4                9   12   5   2
       + 4*m2 *n1 *n2  *n3 *r483)/(4*a33*m1 *n1  *n2 *n3

              9   12   3   4           9   10   7   2           9   10   5   4
    - 8*a33*m1 *n1  *n2 *n3  + 4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3

              9   8   9   2           9   8   7   4           9   6   11   2
    - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2  *n3

              9   6   9   4           8      13   6            8      13   4   2
    + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1  *n2  - 24*a33*m1 *m2*n1  *n2 *n3

               8      13   2   4           8      11   8
    + 24*a33*m1 *m2*n1  *n2 *n3  + 8*a33*m1 *m2*n1  *n2

               8      11   6   2            8      11   4   4
    - 12*a33*m1 *m2*n1  *n2 *n3  - 24*a33*m1 *m2*n1  *n2 *n3

               8      9   8   2            8      9   6   4
    + 36*a33*m1 *m2*n1 *n2 *n3  - 72*a33*m1 *m2*n1 *n2 *n3

              8      7   12            8      7   10   2
    - 8*a33*m1 *m2*n1 *n2   + 12*a33*m1 *m2*n1 *n2  *n3

               8      7   8   4           8      5   14
    + 24*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               8      5   12   2            8      5   10   4
    - 12*a33*m1 *m2*n1 *n2  *n3  + 48*a33*m1 *m2*n1 *n2  *n3

               7   2   14   5            7   2   14   3   2
    - 16*a33*m1 *m2 *n1  *n2  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   14      4            7   2   12   7
    - 24*a33*m1 *m2 *n1  *n2*n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   12   5   2             7   2   12   3   4
    - 48*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

               7   2   10   9             7   2   10   7   2
    + 32*a33*m1 *m2 *n1  *n2  - 144*a33*m1 *m2 *n1  *n2 *n3

               7   2   10   5   4            7   2   8   11
    + 48*a33*m1 *m2 *n1  *n2 *n3  + 32*a33*m1 *m2 *n1 *n2

               7   2   8   9   2             7   2   8   7   4
    + 48*a33*m1 *m2 *n1 *n2 *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

               7   2   6   13            7   2   6   11   2
    - 16*a33*m1 *m2 *n1 *n2   + 96*a33*m1 *m2 *n1 *n2  *n3

               7   2   6   9   4            7   2   4   15
    - 24*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                7   2   4   11   4            6   3   15   4
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2

               6   3   15   2   2           6   3   15   4
    - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

               6   3   13   6             6   3   13   4   2
    - 16*a33*m1 *m2 *n1  *n2  + 176*a33*m1 *m2 *n1  *n2 *n3

                6   3   13   2   4             6   3   11   8
    - 136*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                6   3   11   6   2             6   3   11   4   4
    + 136*a33*m1 *m2 *n1  *n2 *n3  + 208*a33*m1 *m2 *n1  *n2 *n3

                6   3   9   8   2             6   3   9   6   4
    - 336*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                6   3   7   12             6   3   7   10   2
    + 104*a33*m1 *m2 *n1 *n2   - 136*a33*m1 *m2 *n1 *n2  *n3

                6   3   7   8   4            6   3   5   14
    - 376*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

                6   3   5   12   2             6   3   5   10   4
    + 160*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2  *n3

               6   3   3   16            6   3   3   14   2
    - 24*a33*m1 *m2 *n1 *n2   + 40*a33*m1 *m2 *n1 *n2  *n3

                6   3   3   12   4            5   4   16   3
    + 160*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               5   4   16      2            5   4   14   5
    + 12*a33*m1 *m2 *n1  *n2*n3  + 64*a33*m1 *m2 *n1  *n2

                5   4   14   3   2            5   4   14      4
    - 180*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2*n3

               5   4   12   7             5   4   12   5   2
    + 96*a33*m1 *m2 *n1  *n2  + 156*a33*m1 *m2 *n1  *n2 *n3

                5   4   12   3   4             5   4   10   9
    - 312*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1  *n2

                5   4   10   7   2            5   4   10   5   4
    + 540*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2 *n3

                5   4   8   11             5   4   8   9   2
    - 144*a33*m1 *m2 *n1 *n2   - 228*a33*m1 *m2 *n1 *n2 *n3

                5   4   8   7   4            5   4   6   13
    + 672*a33*m1 *m2 *n1 *n2 *n3  + 96*a33*m1 *m2 *n1 *n2

                5   4   6   11   2             5   4   6   9   4
    - 420*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

               5   4   4   15            5   4   4   13   2
    + 64*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   4   11   4            5   4   2   17
    - 360*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1 *n2

               5   4   2   15   2             5   4   2   13   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

              4   5   17   2            4   5   15   4
    + 4*a33*m1 *m2 *n1  *n2  - 56*a33*m1 *m2 *n1  *n2

               4   5   15   2   2            4   5   13   6
    + 60*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2

                4   5   13   4   2             4   5   13   2   4
    - 300*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                4   5   11   8             4   5   11   6   2
    + 216*a33*m1 *m2 *n1  *n2  - 180*a33*m1 *m2 *n1  *n2 *n3

                4   5   11   4   4             4   5   9   8   2
    - 360*a33*m1 *m2 *n1  *n2 *n3  + 660*a33*m1 *m2 *n1 *n2 *n3

                4   5   9   6   4             4   5   7   12
    - 240*a33*m1 *m2 *n1 *n2 *n3  - 216*a33*m1 *m2 *n1 *n2

                4   5   7   10   2             4   5   7   8   4
    + 204*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

               4   5   5   14             4   5   5   12   2
    - 16*a33*m1 *m2 *n1 *n2   - 396*a33*m1 *m2 *n1 *n2  *n3

               4   5   5   10   4            4   5   3   16
    + 72*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2

               4   5   3   14   2             4   5   3   12   4
    - 84*a33*m1 *m2 *n1 *n2  *n3  - 312*a33*m1 *m2 *n1 *n2  *n3

              4   5      18            4   5      16   2
    - 4*a33*m1 *m2 *n1*n2   + 36*a33*m1 *m2 *n1*n2  *n3

               4   5      14   4            3   6   16   3
    + 48*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1 *m2 *n1  *n2

               3   6   14   5             3   6   14   3   2
    - 64*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

               3   6   12   7             3   6   12   5   2
    - 96*a33*m1 *m2 *n1  *n2  - 200*a33*m1 *m2 *n1  *n2 *n3

                3   6   12   3   4             3   6   10   9
    + 160*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1  *n2

                3   6   10   7   2             3   6   10   5   4
    - 440*a33*m1 *m2 *n1  *n2 *n3  - 200*a33*m1 *m2 *n1  *n2 *n3

                3   6   8   11             3   6   8   9   2
    + 144*a33*m1 *m2 *n1 *n2   + 296*a33*m1 *m2 *n1 *n2 *n3

                3   6   8   7   4            3   6   6   13
    - 376*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2

                3   6   6   11   2             3   6   6   9   4
    + 408*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

               3   6   4   15             3   6   4   13   2
    - 64*a33*m1 *m2 *n1 *n2   - 104*a33*m1 *m2 *n1 *n2  *n3

                3   6   4   11   4            3   6   2   17
    + 208*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2

               3   6   2   15   2             3   6   2   13   4
    - 88*a33*m1 *m2 *n1 *n2  *n3  - 136*a33*m1 *m2 *n1 *n2  *n3

              3   6   17   2           3   6   15   4            2   7   15   4
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2

               2   7   13   6             2   7   13   4   2
    - 16*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                2   7   11   8             2   7   11   4   4
    - 104*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                2   7   9   8   2            2   7   9   6   4
    - 312*a33*m1 *m2 *n1 *n2 *n3  - 24*a33*m1 *m2 *n1 *n2 *n3

                2   7   7   12            2   7   7   10   2
    + 104*a33*m1 *m2 *n1 *n2   - 48*a33*m1 *m2 *n1 *n2  *n3

                2   7   7   8   4            2   7   5   14
    - 240*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

                2   7   5   12   2            2   7   5   10   4
    + 216*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   16            2   7   3   14   2
    - 24*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2  *n3

                2   7   3   12   4            2   7      16   2
    + 120*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

               2   7      14   4               8   14   5
    - 24*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1*m2 *n1  *n2

                  8   12   7               8   12   5   2
    + 16*a33*m1*m2 *n1  *n2  + 60*a33*m1*m2 *n1  *n2 *n3

                  8   10   9               8   10   7   2
    - 32*a33*m1*m2 *n1  *n2  + 60*a33*m1*m2 *n1  *n2 *n3

                  8   10   5   4               8   8   11
    + 48*a33*m1*m2 *n1  *n2 *n3  - 32*a33*m1*m2 *n1 *n2

                  8   8   9   2               8   8   7   4
    - 84*a33*m1*m2 *n1 *n2 *n3  + 24*a33*m1*m2 *n1 *n2 *n3

                  8   6   13               8   6   11   2
    + 16*a33*m1*m2 *n1 *n2   - 84*a33*m1*m2 *n1 *n2  *n3

                  8   6   9   4               8   4   15
    - 72*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2

                  8   4   13   2               8   4   11   4
    + 24*a33*m1*m2 *n1 *n2  *n3  - 24*a33*m1*m2 *n1 *n2  *n3

                  8   2   15   2               8   2   13   4
    + 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

              9   13   6           9   11   8            9   11   6   2
    + 4*a33*m2 *n1  *n2  + 8*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2 *n3

               9   9   8   2           9   9   6   4           9   7   12
    + 20*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2

              9   7   10   2           9   7   8   4           9   5   14
    - 4*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3  - 4*a33*m2 *n1 *n2

               9   5   12   2           9   5   10   4           9   3   14   2
    - 20*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   12   4
    - 8*a33*m2 *n1 *n2  *n3 )


       - 2*m1*n1*n3*r496 - 2*m2*n2*n3*r496
r336=--------------------------------------
                     2         2
               a33*n1  + a33*n2


              2   6      6   4   2             2   6      6   2   4
r337=( - 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   6      4   6   2             2   6      4   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5   2   7   5              2   5   2   7   3   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   7      4             2   5   2   5   7
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r214 - 8*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   5   5   2              2   5   2   5   3   4
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   3   9             2   5   2   3   7   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   3   5   4             2   5      8   3   2
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      8      4             2   5      6   5   2
       + 4*a33 *m1 *m2*n1 *n2*n3 *r216 - 4*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      6   3   4             2   5      4   7   2
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      4   5   4              2   4   3   8   4
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   8   2   2             2   4   3   8   4
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   3   6   6              2   4   3   6   4   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   6   2   4             2   4   3   4   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   4   6   2              2   4   3   4   4   4
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   3   2   10              2   4   3   2   8   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   2   6   4             2   4   2   9   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2 *n1 *n2 *r216

              2   4   2   9   2   2             2   4   2   9   4
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n3 *r216

              2   4   2   7   6              2   4   2   7   4   2
       - 6*a33 *m1 *m2 *n1 *n2 *r216 + 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   7   2   4             2   4   2   5   8
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2 *r216

              2   4   2   5   6   2              2   4   2   5   4   4
       + 4*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   3   10             2   4   2   3   8   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 - 2*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   3   6   4              2   3   4   9   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   4   9      2              2   3   4   7   3   2
       + 12*a33 *m1 *m2 *n1 *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   7      4              2   3   4   5   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   4   5   5   2              2   3   4   5   3   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   3   9              2   3   4   3   7   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   3   5   4             2   3   4      11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   4      9   2              2   3   4      7   4
       + 20*a33 *m1 *m2 *n1*n2 *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   3   10   3             2   3   3   10      2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   3   8   5             2   3   3   8   3   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   8      4              2   3   3   6   5   2
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   6   3   4             2   3   3   4   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   4   7   2              2   3   3   4   5   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   2   11             2   3   3   2   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   2   7   4             2   2   5   10   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   5   8   4              2   2   5   8   2   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   6   6              2   2   5   6   4   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   6   2   4              2   2   5   4   6   2
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   4   4   4              2   2   5   2   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   5   2   8   2              2   2   5   2   6   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5   10   2             2   2   5   8   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   4   11   2             2   2   4   9   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   9   2   2              2   2   4   7   6
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   7   4   2              2   2   4   7   2   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   4   5   8              2   2   4   5   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   4   5   4   4             2   2   4   3   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   4   3   8   2             2   2   4   3   6   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4      12              2   2   4      10   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   4      8   4             2      6   9   3
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r214

              2      6   7   5              2      6   7   3   2
       + 4*a33 *m1*m2 *n1 *n2 *r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      6   5   7              2      6   5   5   2
       - 16*a33 *m1*m2 *n1 *n2 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      6   5   3   4              2      6   3   9
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *r214

               2      6   3   7   2              2      6   3   5   4
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      6      9   2              2      6      7   4
       - 16*a33 *m1*m2 *n1*n2 *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      5   10   3             2      5   8   5
       - 4*a33 *m1*m2 *n1  *n2 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      5   8   3   2              2      5   6   5   2
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      5   6   3   4             2      5   4   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      5   4   7   2              2      5   4   5   4
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   2   11             2      5   2   9   2
       + 4*a33 *m1*m2 *n1 *n2  *r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   2   7   4             2      5   11   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      5   9   4             2   7   8   4
       + 4*a33 *m1*m2 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *r214

              2   7   6   6              2   7   6   4   2
       + 8*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   7   4   8              2   7   4   6   2
       + 4*a33 *m2 *n1 *n2 *r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   7   4   4   4             2   7   2   8   2
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   7   2   6   4             2   6   9   4
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *r216

              2   6   7   6             2   6   7   4   2
       - 6*a33 *m2 *n1 *n2 *r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   6   5   8              2   6   5   6   2
       - 6*a33 *m2 *n1 *n2 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   6   5   4   4             2   6   3   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   6   3   8   2             2   6   3   6   4
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   6      10   2             2   6      8   4
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

             6   9   4   2            6   9   2   4
       - 2*m1 *n1 *n2 *n3 *r496 + 4*m1 *n1 *n2 *n3 *r496

             6   5   8   2            6   5   6   4
       + 2*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496

             5      10   5            5      10   3   2
       - 2*m1 *m2*n1  *n2 *r496 + 6*m1 *m2*n1  *n2 *n3 *r496

             5      8   7            5      8   5   2
       - 2*m1 *m2*n1 *n2 *r496 - 7*m1 *m2*n1 *n2 *n3 *r496

              5      8   3   4            5      6   9
       + 26*m1 *m2*n1 *n2 *n3 *r496 + 2*m1 *m2*n1 *n2 *r496

             5      6   7   2            5      6   5   4
       - 8*m1 *m2*n1 *n2 *n3 *r496 + 4*m1 *m2*n1 *n2 *n3 *r496

             5      4   11            5      4   9   2
       + 2*m1 *m2*n1 *n2  *r496 + 5*m1 *m2*n1 *n2 *n3 *r496

              5      4   7   4          5   11   3   2
       - 22*m1 *m2*n1 *n2 *n3 *r496 - m1 *n1  *n2 *n3 *r483

             5   11      4          5   9   5   2            5   9   3   4
       + 2*m1 *n1  *n2*n3 *r483 - m1 *n1 *n2 *n3 *r483 + 2*m1 *n1 *n2 *n3 *r483

           5   7   7   2            5   7   5   4          5   5   9   2
       + m1 *n1 *n2 *n3 *r483 - 2*m1 *n1 *n2 *n3 *r483 + m1 *n1 *n2 *n3 *r483

             5   5   7   4            4   2   11   4
       - 2*m1 *n1 *n2 *n3 *r483 + 2*m1 *m2 *n1  *n2 *r496

           4   2   11   2   2            4   2   11   4
       + m1 *m2 *n1  *n2 *n3 *r496 - 2*m1 *m2 *n1  *n3 *r496

             4   2   9   6             4   2   9   4   2
       - 7*m1 *m2 *n1 *n2 *r496 + 35*m1 *m2 *n1 *n2 *n3 *r496

             4   2   9   2   4             4   2   7   8
       - 4*m1 *m2 *n1 *n2 *n3 *r496 - 13*m1 *m2 *n1 *n2 *r496

             4   2   7   6   2             4   2   7   4   4
       + 4*m1 *m2 *n1 *n2 *n3 *r496 + 70*m1 *m2 *n1 *n2 *n3 *r496

             4   2   5   10             4   2   5   8   2
       + 3*m1 *m2 *n1 *n2  *r496 - 33*m1 *m2 *n1 *n2 *n3 *r496

              4   2   5   6   4            4   2   3   12
       + 24*m1 *m2 *n1 *n2 *n3 *r496 + 7*m1 *m2 *n1 *n2  *r496

             4   2   3   10   2             4   2   3   8   4
       - 3*m1 *m2 *n1 *n2  *n3 *r496 - 48*m1 *m2 *n1 *n2 *n3 *r496

           4      12   4            4      12   2   2
       - m1 *m2*n1  *n2 *r483 + 4*m1 *m2*n1  *n2 *n3 *r483

             4      12   4            4      10   6
       - 2*m1 *m2*n1  *n3 *r483 - 2*m1 *m2*n1  *n2 *r483

             4      10   4   2            4      10   2   4
       + 3*m1 *m2*n1  *n2 *n3 *r483 + 6*m1 *m2*n1  *n2 *n3 *r483

             4      8   6   2             4      8   4   4
       - 5*m1 *m2*n1 *n2 *n3 *r483 + 10*m1 *m2*n1 *n2 *n3 *r483

             4      6   10            4      6   8   2
       + 2*m1 *m2*n1 *n2  *r483 - 3*m1 *m2*n1 *n2 *n3 *r483

             4      6   6   4          4      4   12
       - 6*m1 *m2*n1 *n2 *n3 *r483 + m1 *m2*n1 *n2  *r483

           4      4   10   2            4      4   8   4
       + m1 *m2*n1 *n2  *n3 *r483 - 8*m1 *m2*n1 *n2 *n3 *r483

           3   3   12   3            3   3   12      2
       + m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2*n3 *r496

              3   3   10   5            3   3   10   3   2
       + 12*m1 *m2 *n1  *n2 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   3   10      4            3   3   8   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 - 2*m1 *m2 *n1 *n2 *r496

              3   3   8   5   2             3   3   8   3   4
       + 74*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

              3   3   6   9             3   3   6   7   2
       - 28*m1 *m2 *n1 *n2 *r496 + 52*m1 *m2 *n1 *n2 *n3 *r496

               3   3   6   5   4            3   3   4   11
       + 100*m1 *m2 *n1 *n2 *n3 *r496 - 7*m1 *m2 *n1 *n2  *r496

              3   3   4   9   2             3   3   4   7   4
       - 43*m1 *m2 *n1 *n2 *n3 *r496 + 56*m1 *m2 *n1 *n2 *n3 *r496

             3   3   2   13             3   3   2   11   2
       + 8*m1 *m2 *n1 *n2  *r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              3   3   2   9   4            3   2   13   3
       - 52*m1 *m2 *n1 *n2 *n3 *r496 + 2*m1 *m2 *n1  *n2 *r483

             3   2   13      2            3   2   11   5
       - 3*m1 *m2 *n1  *n2*n3 *r483 + 2*m1 *m2 *n1  *n2 *r483

             3   2   11   3   2            3   2   11      4
       + 7*m1 *m2 *n1  *n2 *n3 *r483 - 8*m1 *m2 *n1  *n2*n3 *r483

             3   2   9   7             3   2   9   5   2
       - 4*m1 *m2 *n1 *n2 *r483 + 16*m1 *m2 *n1 *n2 *n3 *r483

             3   2   9   3   4            3   2   7   9
       + 4*m1 *m2 *n1 *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2 *r483

             3   2   7   7   2             3   2   7   5   4
       - 4*m1 *m2 *n1 *n2 *n3 *r483 + 20*m1 *m2 *n1 *n2 *n3 *r483

             3   2   5   11             3   2   5   9   2
       + 2*m1 *m2 *n1 *n2  *r483 - 13*m1 *m2 *n1 *n2 *n3 *r483

             3   2   5   7   4            3   2   3   13
       - 4*m1 *m2 *n1 *n2 *n3 *r483 + 2*m1 *m2 *n1 *n2  *r483

             3   2   3   11   2             3   2   3   9   4
       - 3*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1 *n2 *n3 *r483

           2   4   13   2          2   4   11   4
       - m1 *m2 *n1  *n2 *r496 - m1 *m2 *n1  *n2 *r496

             2   4   11   2   2             2   4   9   6
       - 9*m1 *m2 *n1  *n2 *n3 *r496 + 19*m1 *m2 *n1 *n2 *r496

              2   4   9   4   2             2   4   9   2   4
       - 21*m1 *m2 *n1 *n2 *n3 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

              2   4   7   8             2   4   7   6   2
       + 16*m1 *m2 *n1 *n2 *r496 + 72*m1 *m2 *n1 *n2 *n3 *r496

              2   4   7   4   4             2   4   5   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - 21*m1 *m2 *n1 *n2  *r496

              2   4   5   8   2             2   4   5   6   4
       + 92*m1 *m2 *n1 *n2 *n3 *r496 + 80*m1 *m2 *n1 *n2 *n3 *r496

              2   4   3   12             2   4   3   10   2
       - 15*m1 *m2 *n1 *n2  *r496 - 11*m1 *m2 *n1 *n2  *n3 *r496

              2   4   3   8   4            2   4      14
       + 64*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1*n2  *r496

              2   4      12   2             2   4      10   4
       - 19*m1 *m2 *n1*n2  *n3 *r496 - 28*m1 *m2 *n1*n2  *n3 *r496

           2   3   14   2            2   3   12   4
       - m1 *m2 *n1  *n2 *r483 + 2*m1 *m2 *n1  *n2 *r483

             2   3   12   2   2            2   3   10   6
       - 9*m1 *m2 *n1  *n2 *n3 *r483 + 7*m1 *m2 *n1  *n2 *r483

             2   3   10   4   2             2   3   10   2   4
       - 3*m1 *m2 *n1  *n2 *n3 *r483 - 12*m1 *m2 *n1  *n2 *n3 *r483

              2   3   8   6   2            2   3   8   4   4
       + 20*m1 *m2 *n1 *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2 *n3 *r483

             2   3   6   10            2   3   6   8   2
       - 7*m1 *m2 *n1 *n2  *r483 + 8*m1 *m2 *n1 *n2 *n3 *r483

              2   3   6   6   4            2   3   4   12
       + 20*m1 *m2 *n1 *n2 *n3 *r483 - 2*m1 *m2 *n1 *n2  *r483

              2   3   4   10   2            2   3   4   8   4
       - 11*m1 *m2 *n1 *n2  *n3 *r483 + 4*m1 *m2 *n1 *n2 *n3 *r483

           2   3   2   14            2   3   2   12   2
       + m1 *m2 *n1 *n2  *r483 - 5*m1 *m2 *n1 *n2  *n3 *r483

             2   3   2   10   4               5   12   3
       - 8*m1 *m2 *n1 *n2  *n3 *r483 - 2*m1*m2 *n1  *n2 *r496

                5   10   5               5   10   3   2
       - 5*m1*m2 *n1  *n2 *r496 - 9*m1*m2 *n1  *n2 *n3 *r496

                 5   8   7                5   8   5   2
       + 10*m1*m2 *n1 *n2 *r496 - 23*m1*m2 *n1 *n2 *n3 *r496

                5   8   3   4                5   6   9
       - 8*m1*m2 *n1 *n2 *n3 *r496 + 20*m1*m2 *n1 *n2 *r496

                 5   6   7   2                5   6   5   4
       + 32*m1*m2 *n1 *n2 *n3 *r496 - 16*m1*m2 *n1 *n2 *n3 *r496

                 5   4   9   2                5   4   7   4
       + 67*m1*m2 *n1 *n2 *n3 *r496 + 34*m1*m2 *n1 *n2 *n3 *r496

                5   2   13                5   2   11   2
       - 7*m1*m2 *n1 *n2  *r496 + 15*m1*m2 *n1 *n2  *n3 *r496

                 5   2   9   4               5   13   2
       + 36*m1*m2 *n1 *n2 *n3 *r496 - 6*m1*m2 *n2  *n3 *r496

                5   11   4               4   13   3
       - 6*m1*m2 *n2  *n3 *r496 - 2*m1*m2 *n1  *n2 *r483

                4   11   5               4   11   3   2
       - 2*m1*m2 *n1  *n2 *r483 - 9*m1*m2 *n1  *n2 *n3 *r483

                4   9   7                4   9   5   2
       + 4*m1*m2 *n1 *n2 *r483 - 11*m1*m2 *n1 *n2 *n3 *r483

                4   9   3   4               4   7   9
       - 8*m1*m2 *n1 *n2 *n3 *r483 + 4*m1*m2 *n1 *n2 *r483

                4   7   7   2               4   7   5   4
       + 9*m1*m2 *n1 *n2 *n3 *r483 - 6*m1*m2 *n1 *n2 *n3 *r483

                4   5   11                4   5   9   2
       - 2*m1*m2 *n1 *n2  *r483 + 13*m1*m2 *n1 *n2 *n3 *r483

                 4   5   7   4               4   3   13
       + 10*m1*m2 *n1 *n2 *n3 *r483 - 2*m1*m2 *n1 *n2  *r483

                4   3   9   4               4      13   2
       + 6*m1*m2 *n1 *n2 *n3 *r483 - 2*m1*m2 *n1*n2  *n3 *r483

                4      11   4          6   11   4            6   9   6
       - 2*m1*m2 *n1*n2  *n3 *r483 - m2 *n1  *n2 *r496 - 3*m2 *n1 *n2 *r496

             6   9   4   2          6   7   8            6   7   6   2
       - 3*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2 *r496 - 8*m2 *n1 *n2 *n3 *r496

             6   7   4   4            6   5   10            6   5   8   2
       - 2*m2 *n1 *n2 *n3 *r496 + 7*m2 *n1 *n2  *r496 + 5*m2 *n1 *n2 *n3 *r496

             6   5   6   4            6   3   12             6   3   10   2
       - 4*m2 *n1 *n2 *n3 *r496 + 4*m2 *n1 *n2  *r496 + 18*m2 *n1 *n2  *n3 *r496

             6   3   8   4            6      12   2
       + 6*m2 *n1 *n2 *n3 *r496 + 8*m2 *n1*n2  *n3 *r496

             6      10   4          5   12   4            5   10   6
       + 8*m2 *n1*n2  *n3 *r496 - m2 *n1  *n2 *r483 - 2*m2 *n1  *n2 *r483

             5   10   4   2            5   8   6   2
       - 3*m2 *n1  *n2 *n3 *r483 - 5*m2 *n1 *n2 *n3 *r483

             5   8   4   4            5   6   10          5   6   8   2
       - 2*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1 *n2  *r483 + m2 *n1 *n2 *n3 *r483

             5   6   6   4          5   4   12            5   4   10   2
       - 2*m2 *n1 *n2 *n3 *r483 + m2 *n1 *n2  *r483 + 5*m2 *n1 *n2  *n3 *r483

             5   4   8   4            5   2   12   2
       + 2*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1 *n2  *n3 *r483

             5   2   10   4                5   10   3   2
       + 2*m2 *n1 *n2  *n3 *r483)/(2*a33*m1 *n1  *n2 *n3

              5   10      4           5   8   5   2           5   8   3   4
    - 4*a33*m1 *n1  *n2*n3  + 2*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3

              5   6   7   2           5   6   5   4           5   4   9   2
    - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3

              5   4   7   4           4      11   4           4      11   2   2
    + 4*a33*m1 *n1 *n2 *n3  + 2*a33*m1 *m2*n1  *n2  - 8*a33*m1 *m2*n1  *n2 *n3

              4      11   4           4      9   6           4      9   4   2
    + 4*a33*m1 *m2*n1  *n3  + 4*a33*m1 *m2*n1 *n2  - 6*a33*m1 *m2*n1 *n2 *n3

               4      9   2   4            4      7   6   2
    - 12*a33*m1 *m2*n1 *n2 *n3  + 10*a33*m1 *m2*n1 *n2 *n3

               4      7   4   4           4      5   10
    - 20*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

              4      5   8   2            4      5   6   4
    + 6*a33*m1 *m2*n1 *n2 *n3  + 12*a33*m1 *m2*n1 *n2 *n3

              4      3   12           4      3   10   2
    - 2*a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

               4      3   8   4           3   2   12   3
    + 16*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2 *n1  *n2

              3   2   12      2           3   2   10   5
    + 6*a33*m1 *m2 *n1  *n2*n3  - 4*a33*m1 *m2 *n1  *n2

               3   2   10   3   2            3   2   10      4
    - 14*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

              3   2   8   7            3   2   8   5   2
    + 8*a33*m1 *m2 *n1 *n2  - 32*a33*m1 *m2 *n1 *n2 *n3

              3   2   8   3   4           3   2   6   9
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

              3   2   6   7   2            3   2   6   5   4
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   11            3   2   4   9   2
    - 4*a33*m1 *m2 *n1 *n2   + 26*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   7   4           3   2   2   13
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

              3   2   2   11   2            3   2   2   9   4
    + 6*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

              2   3   13   2           2   3   11   4
    + 2*a33*m1 *m2 *n1  *n2  - 4*a33*m1 *m2 *n1  *n2

               2   3   11   2   2            2   3   9   6
    + 18*a33*m1 *m2 *n1  *n2 *n3  - 14*a33*m1 *m2 *n1 *n2

              2   3   9   4   2            2   3   9   2   4
    + 6*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

               2   3   7   6   2           2   3   7   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   10            2   3   5   8   2
    + 14*a33*m1 *m2 *n1 *n2   - 16*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   6   4           2   3   3   12
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1 *n2

               2   3   3   10   2           2   3   3   8   4
    + 22*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2 *n3

              2   3      14            2   3      12   2
    - 2*a33*m1 *m2 *n1*n2   + 10*a33*m1 *m2 *n1*n2  *n3

               2   3      10   4              4   12   3              4   10   5
    + 16*a33*m1 *m2 *n1*n2  *n3  + 4*a33*m1*m2 *n1  *n2  + 4*a33*m1*m2 *n1  *n2

                  4   10   3   2              4   8   7
    + 18*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1 *n2

                  4   8   5   2               4   8   3   4
    + 22*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                 4   6   9               4   6   7   2
    - 8*a33*m1*m2 *n1 *n2  - 18*a33*m1*m2 *n1 *n2 *n3

                  4   6   5   4              4   4   11
    + 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n1 *n2

                  4   4   9   2               4   4   7   4
    - 26*a33*m1*m2 *n1 *n2 *n3  - 20*a33*m1*m2 *n1 *n2 *n3

                 4   2   13               4   2   9   4              4   13   2
    + 4*a33*m1*m2 *n1 *n2   - 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n2  *n3

                 4   11   4           5   11   4           5   9   6
    + 4*a33*m1*m2 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1 *n2

              5   9   4   2            5   7   6   2           5   7   4   4
    + 6*a33*m2 *n1 *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   5   10           5   5   8   2           5   5   6   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   3   12            5   3   10   2           5   3   8   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2 *n3

              5      12   2           5      10   4
    - 4*a33*m2 *n1*n2  *n3  - 4*a33*m2 *n1*n2  *n3 )


r338=0


              2   7   6   4   2             2   7   6   2   4
r339=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   7   4   6   2             2   7   4   4   4
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6      7   5              2   6      7   3   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   6      7      4             2   6      5   7
       - 16*a33 *m1 *m2*n1 *n2*n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *r214

               2   6      5   5   2              2   6      5   3   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   6      3   9             2   6      3   7   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   6      3   5   4             2   6   8   3   2
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   6   8      4             2   6   6   5   2
       + 4*a33 *m1 *n1 *n2*n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   6   6   3   4             2   6   4   7   2
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   6   4   5   4              2   5   2   8   4
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   8   2   2             2   5   2   8   4
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   5   2   6   6              2   5   2   6   4   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   6   2   4             2   5   2   4   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   4   6   2              2   5   2   4   4   4
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   2   10              2   5   2   2   8   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   2   6   4             2   5      9   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *r216

              2   5      9   2   2             2   5      9   4
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 4*a33 *m1 *m2*n1 *n3 *r216

              2   5      7   6              2   5      7   4   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      7   2   4             2   5      5   8
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

              2   5      5   6   2              2   5      5   4   4
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      3   10             2   5      3   8   2
       - 2*a33 *m1 *m2*n1 *n2  *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   5      3   6   4              2   4   3   9   3
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   9      2              2   4   3   7   3   2
       + 12*a33 *m1 *m2 *n1 *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   7      4              2   4   3   5   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   5   5   2              2   4   3   5   3   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   3   9              2   4   3   3   7   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   3   5   4             2   4   3      11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   4   3      9   2              2   4   3      7   4
       + 20*a33 *m1 *m2 *n1*n2 *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   4   2   10   3             2   4   2   10      2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   4   2   8   5             2   4   2   8   3   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   8      4              2   4   2   6   5   2
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   6   3   4             2   4   2   4   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   4   2   4   7   2              2   4   2   4   5   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   2   11             2   4   2   2   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   2   7   4             2   3   4   10   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   3   4   8   4              2   3   4   8   2   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   6   6              2   3   4   6   4   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   6   2   4              2   3   4   4   6   2
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   4   4   4              2   3   4   2   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   3   4   2   8   2              2   3   4   2   6   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   10   2             2   3   4   8   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   3   3   11   2             2   3   3   9   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   9   2   2              2   3   3   7   6
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   7   4   2              2   3   3   7   2   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   5   8              2   3   3   5   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   5   4   4             2   3   3   3   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   3   3   3   8   2             2   3   3   3   6   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3      12              2   3   3      10   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   3      8   4             2   2   5   9   3
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r214

              2   2   5   7   5              2   2   5   7   3   2
       + 4*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   5   7              2   2   5   5   5   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   5   3   4              2   2   5   3   9
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   2   5   3   7   2              2   2   5   3   5   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5      9   2              2   2   5      7   4
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r214 - 16*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       - 4*a33 *m1 *m2 *n1  *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   8   3   2              2   2   4   6   5   2
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   4   6   3   4             2   2   4   4   9
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   4   7   2              2   2   4   4   5   4
       - 22*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   2   11             2   2   4   2   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 + 4*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   2   7   4             2   2   4   11   2
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   4   9   4             2      6   8   4
       + 4*a33 *m1 *m2 *n2 *n3 *r216 + 4*a33 *m1*m2 *n1 *n2 *r214

              2      6   6   6              2      6   6   4   2
       + 8*a33 *m1*m2 *n1 *n2 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   4   8              2      6   4   6   2
       + 4*a33 *m1*m2 *n1 *n2 *r214 + 20*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   4   4   4             2      6   2   8   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r214 + 8*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   2   6   4             2      5   9   4
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r214 - 2*a33 *m1*m2 *n1 *n2 *r216

              2      5   7   6             2      5   7   4   2
       - 6*a33 *m1*m2 *n1 *n2 *r216 - 6*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   5   8              2      5   5   6   2
       - 6*a33 *m1*m2 *n1 *n2 *r216 - 16*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   5   4   4             2      5   3   10
       - 4*a33 *m1*m2 *n1 *n2 *n3 *r216 - 2*a33 *m1*m2 *n1 *n2  *r216

               2      5   3   8   2             2      5   3   6   4
       - 14*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5      10   2             2      5      8   4
       - 4*a33 *m1*m2 *n1*n2  *n3 *r216 - 4*a33 *m1*m2 *n1*n2 *n3 *r216

             6   10   3   2            6   10      4
       - 4*m1 *n1  *n2 *n3 *r496 + 8*m1 *n1  *n2*n3 *r496

             6   8   5   2            6   8   3   4
       - 3*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2 *n3 *r496

             6   6   7   2            6   6   5   4          6   4   9   2
       + 2*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496

             6   4   7   4            5      11   4
       - 2*m1 *n1 *n2 *n3 *r496 - 4*m1 *m2*n1  *n2 *r496

              5      11   2   2            5      11   4
       + 15*m1 *m2*n1  *n2 *n3 *r496 - 6*m1 *m2*n1  *n3 *r496

             5      9   6            5      9   4   2
       - 7*m1 *m2*n1 *n2 *r496 + 3*m1 *m2*n1 *n2 *n3 *r496

              5      9   2   4          5      7   8
       + 36*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2 *r496

              5      7   6   2             5      7   4   4
       - 14*m1 *m2*n1 *n2 *n3 *r496 + 34*m1 *m2*n1 *n2 *n3 *r496

             5      5   10          5      5   8   2
       + 3*m1 *m2*n1 *n2  *r496 - m1 *m2*n1 *n2 *n3 *r496

              5      5   6   4          5      3   12
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           5      3   10   2            5      3   8   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           5   10   4   2            5   10   2   4          5   8   6   2
       + m1 *n1  *n2 *n3 *r483 - 2*m1 *n1  *n2 *n3 *r483 + m1 *n1 *n2 *n3 *r483

             5   8   4   4          5   6   8   2            5   6   6   4
       - 2*m1 *n1 *n2 *n3 *r483 - m1 *n1 *n2 *n3 *r483 + 2*m1 *n1 *n2 *n3 *r483

           5   4   10   2            5   4   8   4
       - m1 *n1 *n2  *n3 *r483 + 2*m1 *n1 *n2 *n3 *r483

             4   2   12   3            4   2   12      2
       + 7*m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2*n3 *r496

              4   2   10   3   2             4   2   10      4
       + 47*m1 *m2 *n1  *n2 *n3 *r496 - 28*m1 *m2 *n1  *n2*n3 *r496

              4   2   8   7             4   2   8   5   2
       - 20*m1 *m2 *n1 *n2 *r496 + 52*m1 *m2 *n1 *n2 *n3 *r496

              4   2   8   3   4             4   2   6   9
       + 64*m1 *m2 *n1 *n2 *n3 *r496 - 10*m1 *m2 *n1 *n2 *r496

              4   2   6   7   2             4   2   6   5   4
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + 80*m1 *m2 *n1 *n2 *n3 *r496

             4   2   4   11             4   2   4   9   2
       + 5*m1 *m2 *n1 *n2  *r496 - 15*m1 *m2 *n1 *n2 *n3 *r496

              4   2   4   7   4            4   2   2   13
       - 24*m1 *m2 *n1 *n2 *n3 *r496 + 2*m1 *m2 *n1 *n2  *r496

             4   2   2   11   2             4   2   2   9   4
       - 3*m1 *m2 *n1 *n2  *n3 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

           4      11   5            4      11   3   2
       + m1 *m2*n1  *n2 *r483 - 4*m1 *m2*n1  *n2 *n3 *r483

             4      11      4            4      9   7
       + 2*m1 *m2*n1  *n2*n3 *r483 + 2*m1 *m2*n1 *n2 *r483

             4      9   5   2            4      9   3   4
       - 3*m1 *m2*n1 *n2 *n3 *r483 - 6*m1 *m2*n1 *n2 *n3 *r483

             4      7   7   2             4      7   5   4
       + 5*m1 *m2*n1 *n2 *n3 *r483 - 10*m1 *m2*n1 *n2 *n3 *r483

             4      5   11            4      5   9   2
       - 2*m1 *m2*n1 *n2  *r483 + 3*m1 *m2*n1 *n2 *n3 *r483

             4      5   7   4          4      3   13
       + 6*m1 *m2*n1 *n2 *n3 *r483 - m1 *m2*n1 *n2  *r483

           4      3   11   2            4      3   9   4
       - m1 *m2*n1 *n2  *n3 *r483 + 8*m1 *m2*n1 *n2 *n3 *r483

             3   3   13   2             3   3   11   4
       - 3*m1 *m2 *n1  *n2 *r496 + 15*m1 *m2 *n1  *n2 *r496

              3   3   11   2   2             3   3   9   6
       - 33*m1 *m2 *n1  *n2 *n3 *r496 + 21*m1 *m2 *n1 *n2 *r496

              3   3   9   4   2             3   3   9   2   4
       + 47*m1 *m2 *n1 *n2 *n3 *r496 - 52*m1 *m2 *n1 *n2 *n3 *r496

              3   3   7   8              3   3   7   6   2
       - 16*m1 *m2 *n1 *n2 *r496 + 104*m1 *m2 *n1 *n2 *n3 *r496

              3   3   7   4   4             3   3   5   10
       + 56*m1 *m2 *n1 *n2 *n3 *r496 - 19*m1 *m2 *n1 *n2  *r496

              3   3   5   8   2              3   3   5   6   4
       + 10*m1 *m2 *n1 *n2 *n3 *r496 + 100*m1 *m2 *n1 *n2 *n3 *r496

           3   3   3   12             3   3   3   10   2
       + m1 *m2 *n1 *n2  *r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              3   3   3   8   4          3   3      14
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *r496

             3   3      12   2            3   3      10   4
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

             3   2   12   4            3   2   12   2   2
       - 2*m1 *m2 *n1  *n2 *r483 + 3*m1 *m2 *n1  *n2 *n3 *r483

             3   2   10   6            3   2   10   4   2
       - 2*m1 *m2 *n1  *n2 *r483 - 7*m1 *m2 *n1  *n2 *n3 *r483

             3   2   10   2   4            3   2   8   8
       + 8*m1 *m2 *n1  *n2 *n3 *r483 + 4*m1 *m2 *n1 *n2 *r483

              3   2   8   6   2            3   2   8   4   4
       - 16*m1 *m2 *n1 *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2 *n3 *r483

             3   2   6   10            3   2   6   8   2
       + 4*m1 *m2 *n1 *n2  *r483 + 4*m1 *m2 *n1 *n2 *n3 *r483

              3   2   6   6   4            3   2   4   12
       - 20*m1 *m2 *n1 *n2 *n3 *r483 - 2*m1 *m2 *n1 *n2  *r483

              3   2   4   10   2            3   2   4   8   4
       + 13*m1 *m2 *n1 *n2  *n3 *r483 + 4*m1 *m2 *n1 *n2 *n3 *r483

             3   2   2   14            3   2   2   12   2
       - 2*m1 *m2 *n1 *n2  *r483 + 3*m1 *m2 *n1 *n2  *n3 *r483

              3   2   2   10   4            2   4   12   3
       + 12*m1 *m2 *n1 *n2  *n3 *r483 - 8*m1 *m2 *n1  *n2 *r496

             2   4   10   5             2   4   10   3   2
       + 7*m1 *m2 *n1  *n2 *r496 - 45*m1 *m2 *n1  *n2 *n3 *r496

              2   4   8   7            2   4   8   5   2
       + 28*m1 *m2 *n1 *n2 *r496 + 9*m1 *m2 *n1 *n2 *n3 *r496

              2   4   8   3   4            2   4   6   9
       - 48*m1 *m2 *n1 *n2 *n3 *r496 + 2*m1 *m2 *n1 *n2 *r496

              2   4   6   7   2             2   4   6   5   4
       + 90*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

              2   4   4   11             2   4   4   9   2
       - 12*m1 *m2 *n1 *n2  *r496 + 31*m1 *m2 *n1 *n2 *n3 *r496

              2   4   4   7   4          2   4   2   13
       + 70*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

             2   4   2   11   2            2   4   2   9   4
       - 7*m1 *m2 *n1 *n2  *n3 *r496 - 4*m1 *m2 *n1 *n2 *n3 *r496

             2   4   13   2            2   4   11   4
       - 2*m1 *m2 *n2  *n3 *r496 - 2*m1 *m2 *n2  *n3 *r496

           2   3   13   3            2   3   11   5
       + m1 *m2 *n1  *n2 *r483 - 2*m1 *m2 *n1  *n2 *r483

             2   3   11   3   2            2   3   9   7
       + 9*m1 *m2 *n1  *n2 *n3 *r483 - 7*m1 *m2 *n1 *n2 *r483

             2   3   9   5   2             2   3   9   3   4
       + 3*m1 *m2 *n1 *n2 *n3 *r483 + 12*m1 *m2 *n1 *n2 *n3 *r483

              2   3   7   7   2            2   3   7   5   4
       - 20*m1 *m2 *n1 *n2 *n3 *r483 + 4*m1 *m2 *n1 *n2 *n3 *r483

             2   3   5   11            2   3   5   9   2
       + 7*m1 *m2 *n1 *n2  *r483 - 8*m1 *m2 *n1 *n2 *n3 *r483

              2   3   5   7   4            2   3   3   13
       - 20*m1 *m2 *n1 *n2 *n3 *r483 + 2*m1 *m2 *n1 *n2  *r483

              2   3   3   11   2            2   3   3   9   4
       + 11*m1 *m2 *n1 *n2  *n3 *r483 - 4*m1 *m2 *n1 *n2 *n3 *r483

           2   3      15            2   3      13   2
       - m1 *m2 *n1*n2  *r483 + 5*m1 *m2 *n1*n2  *n3 *r483

             2   3      11   4               5   11   4
       + 8*m1 *m2 *n1*n2  *n3 *r483 - 7*m1*m2 *n1  *n2 *r496

                5   9   6                5   9   4   2
       - 3*m1*m2 *n1 *n2 *r496 - 27*m1*m2 *n1 *n2 *n3 *r496

                 5   7   8                5   7   6   2
       + 13*m1*m2 *n1 *n2 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

                 5   7   4   4               5   5   10
       - 22*m1*m2 *n1 *n2 *n3 *r496 + 7*m1*m2 *n1 *n2  *r496

                 5   5   8   2               5   5   6   4
       + 37*m1*m2 *n1 *n2 *n3 *r496 + 4*m1*m2 *n1 *n2 *n3 *r496

                5   3   12                5   3   10   2
       - 2*m1*m2 *n1 *n2  *r496 + 20*m1*m2 *n1 *n2  *n3 *r496

                 5   3   8   4               4   12   4
       + 26*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n1  *n2 *r483

                4   10   6               4   10   4   2
       + 2*m1*m2 *n1  *n2 *r483 + 9*m1*m2 *n1  *n2 *n3 *r483

                4   8   8                4   8   6   2
       - 4*m1*m2 *n1 *n2 *r483 + 11*m1*m2 *n1 *n2 *n3 *r483

                4   8   4   4               4   6   10
       + 8*m1*m2 *n1 *n2 *n3 *r483 - 4*m1*m2 *n1 *n2  *r483

                4   6   8   2               4   6   6   4
       - 9*m1*m2 *n1 *n2 *n3 *r483 + 6*m1*m2 *n1 *n2 *n3 *r483

                4   4   12                4   4   10   2
       + 2*m1*m2 *n1 *n2  *r483 - 13*m1*m2 *n1 *n2  *n3 *r483

                 4   4   8   4               4   2   14
       - 10*m1*m2 *n1 *n2 *n3 *r483 + 2*m1*m2 *n1 *n2  *r483

                4   2   10   4               4   14   2
       - 6*m1*m2 *n1 *n2  *n3 *r483 + 2*m1*m2 *n2  *n3 *r483

                4   12   4            6   10   5            6   8   7
       + 2*m1*m2 *n2  *n3 *r483 - 2*m2 *n1  *n2 *r496 - 2*m2 *n1 *n2 *r496

             6   8   5   2            6   6   9            6   6   7   2
       - 6*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2 *r496 - 4*m2 *n1 *n2 *n3 *r496

             6   6   5   4            6   4   11            6   4   9   2
       - 4*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2  *r496 + 6*m2 *n1 *n2 *n3 *r496

             6   2   11   2            6   2   9   4          5   11   5
       + 4*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2 *n3 *r496 + m2 *n1  *n2 *r483

             5   9   7            5   9   5   2            5   7   7   2
       + 2*m2 *n1 *n2 *r483 + 3*m2 *n1 *n2 *n3 *r483 + 5*m2 *n1 *n2 *n3 *r483

             5   7   5   4            5   5   11          5   5   9   2
       + 2*m2 *n1 *n2 *n3 *r483 - 2*m2 *n1 *n2  *r483 - m2 *n1 *n2 *n3 *r483

             5   5   7   4          5   3   13            5   3   11   2
       + 2*m2 *n1 *n2 *n3 *r483 - m2 *n1 *n2  *r483 - 5*m2 *n1 *n2  *n3 *r483

             5   3   9   4            5      13   2
       - 2*m2 *n1 *n2 *n3 *r483 - 2*m2 *n1*n2  *n3 *r483

             5      11   4                5   10   3   2           5   10      4
       - 2*m2 *n1*n2  *n3 *r483)/(2*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1  *n2*n3

              5   8   5   2           5   8   3   4           5   6   7   2
    + 2*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3

              5   6   5   4           5   4   9   2           5   4   7   4
    + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3

              4      11   4           4      11   2   2           4      11   4
    + 2*a33*m1 *m2*n1  *n2  - 8*a33*m1 *m2*n1  *n2 *n3  + 4*a33*m1 *m2*n1  *n3

              4      9   6           4      9   4   2
    + 4*a33*m1 *m2*n1 *n2  - 6*a33*m1 *m2*n1 *n2 *n3

               4      9   2   4            4      7   6   2
    - 12*a33*m1 *m2*n1 *n2 *n3  + 10*a33*m1 *m2*n1 *n2 *n3

               4      7   4   4           4      5   10
    - 20*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

              4      5   8   2            4      5   6   4
    + 6*a33*m1 *m2*n1 *n2 *n3  + 12*a33*m1 *m2*n1 *n2 *n3

              4      3   12           4      3   10   2
    - 2*a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

               4      3   8   4           3   2   12   3
    + 16*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2 *n1  *n2

              3   2   12      2           3   2   10   5
    + 6*a33*m1 *m2 *n1  *n2*n3  - 4*a33*m1 *m2 *n1  *n2

               3   2   10   3   2            3   2   10      4
    - 14*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

              3   2   8   7            3   2   8   5   2
    + 8*a33*m1 *m2 *n1 *n2  - 32*a33*m1 *m2 *n1 *n2 *n3

              3   2   8   3   4           3   2   6   9
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

              3   2   6   7   2            3   2   6   5   4
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   11            3   2   4   9   2
    - 4*a33*m1 *m2 *n1 *n2   + 26*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   7   4           3   2   2   13
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

              3   2   2   11   2            3   2   2   9   4
    + 6*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

              2   3   13   2           2   3   11   4
    + 2*a33*m1 *m2 *n1  *n2  - 4*a33*m1 *m2 *n1  *n2

               2   3   11   2   2            2   3   9   6
    + 18*a33*m1 *m2 *n1  *n2 *n3  - 14*a33*m1 *m2 *n1 *n2

              2   3   9   4   2            2   3   9   2   4
    + 6*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

               2   3   7   6   2           2   3   7   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   10            2   3   5   8   2
    + 14*a33*m1 *m2 *n1 *n2   - 16*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   6   4           2   3   3   12
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1 *n2

               2   3   3   10   2           2   3   3   8   4
    + 22*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2 *n3

              2   3      14            2   3      12   2
    - 2*a33*m1 *m2 *n1*n2   + 10*a33*m1 *m2 *n1*n2  *n3

               2   3      10   4              4   12   3              4   10   5
    + 16*a33*m1 *m2 *n1*n2  *n3  + 4*a33*m1*m2 *n1  *n2  + 4*a33*m1*m2 *n1  *n2

                  4   10   3   2              4   8   7
    + 18*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1 *n2

                  4   8   5   2               4   8   3   4
    + 22*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                 4   6   9               4   6   7   2
    - 8*a33*m1*m2 *n1 *n2  - 18*a33*m1*m2 *n1 *n2 *n3

                  4   6   5   4              4   4   11
    + 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n1 *n2

                  4   4   9   2               4   4   7   4
    - 26*a33*m1*m2 *n1 *n2 *n3  - 20*a33*m1*m2 *n1 *n2 *n3

                 4   2   13               4   2   9   4              4   13   2
    + 4*a33*m1*m2 *n1 *n2   - 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n2  *n3

                 4   11   4           5   11   4           5   9   6
    + 4*a33*m1*m2 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1 *n2

              5   9   4   2            5   7   6   2           5   7   4   4
    + 6*a33*m2 *n1 *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   5   10           5   5   8   2           5   5   6   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   3   12            5   3   10   2           5   3   8   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2 *n3

              5      12   2           5      10   4
    - 4*a33*m2 *n1*n2  *n3  - 4*a33*m2 *n1*n2  *n3 )


              2   6      6   4   2             2   6      6   2   4
r340=( - 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   6      4   6   2             2   6      4   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5   2   7   5              2   5   2   7   3   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   7      4             2   5   2   5   7
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r214 - 8*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   5   5   2              2   5   2   5   3   4
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   3   9             2   5   2   3   7   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   3   5   4             2   5      8   3   2
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      8      4             2   5      6   5   2
       + 4*a33 *m1 *m2*n1 *n2*n3 *r216 - 4*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      6   3   4             2   5      4   7   2
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      4   5   4              2   4   3   8   4
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   8   2   2             2   4   3   8   4
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   3   6   6              2   4   3   6   4   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   6   2   4             2   4   3   4   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   4   6   2              2   4   3   4   4   4
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   3   2   10              2   4   3   2   8   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   2   6   4             2   4   2   9   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2 *n1 *n2 *r216

              2   4   2   9   2   2             2   4   2   9   4
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n3 *r216

              2   4   2   7   6              2   4   2   7   4   2
       - 6*a33 *m1 *m2 *n1 *n2 *r216 + 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   7   2   4             2   4   2   5   8
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2 *r216

              2   4   2   5   6   2              2   4   2   5   4   4
       + 4*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   3   10             2   4   2   3   8   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 - 2*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   3   6   4              2   3   4   9   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   4   9      2              2   3   4   7   3   2
       + 12*a33 *m1 *m2 *n1 *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   7      4              2   3   4   5   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   4   5   5   2              2   3   4   5   3   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   3   9              2   3   4   3   7   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   3   5   4             2   3   4      11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   4      9   2              2   3   4      7   4
       + 20*a33 *m1 *m2 *n1*n2 *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   3   10   3             2   3   3   10      2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   3   8   5             2   3   3   8   3   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   8      4              2   3   3   6   5   2
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   6   3   4             2   3   3   4   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   4   7   2              2   3   3   4   5   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3   2   11             2   3   3   2   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   2   7   4             2   2   5   10   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   5   8   4              2   2   5   8   2   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   6   6              2   2   5   6   4   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   6   2   4              2   2   5   4   6   2
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   4   4   4              2   2   5   2   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   5   2   8   2              2   2   5   2   6   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   5   10   2             2   2   5   8   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   4   11   2             2   2   4   9   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   9   2   2              2   2   4   7   6
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   7   4   2              2   2   4   7   2   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   4   5   8              2   2   4   5   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   4   5   4   4             2   2   4   3   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   4   3   8   2             2   2   4   3   6   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4      12              2   2   4      10   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   4      8   4             2      6   9   3
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r214

              2      6   7   5              2      6   7   3   2
       + 4*a33 *m1*m2 *n1 *n2 *r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      6   5   7              2      6   5   5   2
       - 16*a33 *m1*m2 *n1 *n2 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      6   5   3   4              2      6   3   9
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *r214

               2      6   3   7   2              2      6   3   5   4
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      6      9   2              2      6      7   4
       - 16*a33 *m1*m2 *n1*n2 *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      5   10   3             2      5   8   5
       - 4*a33 *m1*m2 *n1  *n2 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      5   8   3   2              2      5   6   5   2
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      5   6   3   4             2      5   4   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      5   4   7   2              2      5   4   5   4
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   2   11             2      5   2   9   2
       + 4*a33 *m1*m2 *n1 *n2  *r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   2   7   4             2      5   11   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      5   9   4             2   7   8   4
       + 4*a33 *m1*m2 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *r214

              2   7   6   6              2   7   6   4   2
       + 8*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   7   4   8              2   7   4   6   2
       + 4*a33 *m2 *n1 *n2 *r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   7   4   4   4             2   7   2   8   2
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   7   2   6   4             2   6   9   4
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *r216

              2   6   7   6             2   6   7   4   2
       - 6*a33 *m2 *n1 *n2 *r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   6   5   8              2   6   5   6   2
       - 6*a33 *m2 *n1 *n2 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   6   5   4   4             2   6   3   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   6   3   8   2             2   6   3   6   4
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   6      10   2             2   6      8   4
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

             6   9   4   2            6   9   2   4
       - 2*m1 *n1 *n2 *n3 *r496 + 4*m1 *n1 *n2 *n3 *r496

             6   5   8   2            6   5   6   4
       + 2*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496

             5      10   5            5      10   3   2
       - 2*m1 *m2*n1  *n2 *r496 + 6*m1 *m2*n1  *n2 *n3 *r496

             5      8   7            5      8   5   2
       - 2*m1 *m2*n1 *n2 *r496 - 7*m1 *m2*n1 *n2 *n3 *r496

              5      8   3   4            5      6   9
       + 26*m1 *m2*n1 *n2 *n3 *r496 + 2*m1 *m2*n1 *n2 *r496

             5      6   7   2            5      6   5   4
       - 8*m1 *m2*n1 *n2 *n3 *r496 + 4*m1 *m2*n1 *n2 *n3 *r496

             5      4   11            5      4   9   2
       + 2*m1 *m2*n1 *n2  *r496 + 5*m1 *m2*n1 *n2 *n3 *r496

              5      4   7   4          5   11   3   2
       - 22*m1 *m2*n1 *n2 *n3 *r496 - m1 *n1  *n2 *n3 *r483

             5   11      4          5   9   5   2            5   9   3   4
       + 2*m1 *n1  *n2*n3 *r483 - m1 *n1 *n2 *n3 *r483 + 2*m1 *n1 *n2 *n3 *r483

           5   7   7   2            5   7   5   4          5   5   9   2
       + m1 *n1 *n2 *n3 *r483 - 2*m1 *n1 *n2 *n3 *r483 + m1 *n1 *n2 *n3 *r483

             5   5   7   4            4   2   11   4
       - 2*m1 *n1 *n2 *n3 *r483 + 2*m1 *m2 *n1  *n2 *r496

           4   2   11   2   2            4   2   11   4
       + m1 *m2 *n1  *n2 *n3 *r496 - 2*m1 *m2 *n1  *n3 *r496

             4   2   9   6             4   2   9   4   2
       - 7*m1 *m2 *n1 *n2 *r496 + 35*m1 *m2 *n1 *n2 *n3 *r496

             4   2   9   2   4             4   2   7   8
       - 4*m1 *m2 *n1 *n2 *n3 *r496 - 13*m1 *m2 *n1 *n2 *r496

             4   2   7   6   2             4   2   7   4   4
       + 4*m1 *m2 *n1 *n2 *n3 *r496 + 70*m1 *m2 *n1 *n2 *n3 *r496

             4   2   5   10             4   2   5   8   2
       + 3*m1 *m2 *n1 *n2  *r496 - 33*m1 *m2 *n1 *n2 *n3 *r496

              4   2   5   6   4            4   2   3   12
       + 24*m1 *m2 *n1 *n2 *n3 *r496 + 7*m1 *m2 *n1 *n2  *r496

             4   2   3   10   2             4   2   3   8   4
       - 3*m1 *m2 *n1 *n2  *n3 *r496 - 48*m1 *m2 *n1 *n2 *n3 *r496

           4      12   4            4      12   2   2
       - m1 *m2*n1  *n2 *r483 + 4*m1 *m2*n1  *n2 *n3 *r483

             4      12   4            4      10   6
       - 2*m1 *m2*n1  *n3 *r483 - 2*m1 *m2*n1  *n2 *r483

             4      10   4   2            4      10   2   4
       + 3*m1 *m2*n1  *n2 *n3 *r483 + 6*m1 *m2*n1  *n2 *n3 *r483

             4      8   6   2             4      8   4   4
       - 5*m1 *m2*n1 *n2 *n3 *r483 + 10*m1 *m2*n1 *n2 *n3 *r483

             4      6   10            4      6   8   2
       + 2*m1 *m2*n1 *n2  *r483 - 3*m1 *m2*n1 *n2 *n3 *r483

             4      6   6   4          4      4   12
       - 6*m1 *m2*n1 *n2 *n3 *r483 + m1 *m2*n1 *n2  *r483

           4      4   10   2            4      4   8   4
       + m1 *m2*n1 *n2  *n3 *r483 - 8*m1 *m2*n1 *n2 *n3 *r483

           3   3   12   3            3   3   12      2
       + m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2*n3 *r496

              3   3   10   5            3   3   10   3   2
       + 12*m1 *m2 *n1  *n2 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   3   10      4            3   3   8   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 - 2*m1 *m2 *n1 *n2 *r496

              3   3   8   5   2             3   3   8   3   4
       + 74*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

              3   3   6   9             3   3   6   7   2
       - 28*m1 *m2 *n1 *n2 *r496 + 52*m1 *m2 *n1 *n2 *n3 *r496

               3   3   6   5   4            3   3   4   11
       + 100*m1 *m2 *n1 *n2 *n3 *r496 - 7*m1 *m2 *n1 *n2  *r496

              3   3   4   9   2             3   3   4   7   4
       - 43*m1 *m2 *n1 *n2 *n3 *r496 + 56*m1 *m2 *n1 *n2 *n3 *r496

             3   3   2   13             3   3   2   11   2
       + 8*m1 *m2 *n1 *n2  *r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              3   3   2   9   4            3   2   13   3
       - 52*m1 *m2 *n1 *n2 *n3 *r496 + 2*m1 *m2 *n1  *n2 *r483

             3   2   13      2            3   2   11   5
       - 3*m1 *m2 *n1  *n2*n3 *r483 + 2*m1 *m2 *n1  *n2 *r483

             3   2   11   3   2            3   2   11      4
       + 7*m1 *m2 *n1  *n2 *n3 *r483 - 8*m1 *m2 *n1  *n2*n3 *r483

             3   2   9   7             3   2   9   5   2
       - 4*m1 *m2 *n1 *n2 *r483 + 16*m1 *m2 *n1 *n2 *n3 *r483

             3   2   9   3   4            3   2   7   9
       + 4*m1 *m2 *n1 *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2 *r483

             3   2   7   7   2             3   2   7   5   4
       - 4*m1 *m2 *n1 *n2 *n3 *r483 + 20*m1 *m2 *n1 *n2 *n3 *r483

             3   2   5   11             3   2   5   9   2
       + 2*m1 *m2 *n1 *n2  *r483 - 13*m1 *m2 *n1 *n2 *n3 *r483

             3   2   5   7   4            3   2   3   13
       - 4*m1 *m2 *n1 *n2 *n3 *r483 + 2*m1 *m2 *n1 *n2  *r483

             3   2   3   11   2             3   2   3   9   4
       - 3*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1 *n2 *n3 *r483

           2   4   13   2          2   4   11   4
       - m1 *m2 *n1  *n2 *r496 - m1 *m2 *n1  *n2 *r496

             2   4   11   2   2             2   4   9   6
       - 9*m1 *m2 *n1  *n2 *n3 *r496 + 19*m1 *m2 *n1 *n2 *r496

              2   4   9   4   2             2   4   9   2   4
       - 21*m1 *m2 *n1 *n2 *n3 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

              2   4   7   8             2   4   7   6   2
       + 16*m1 *m2 *n1 *n2 *r496 + 72*m1 *m2 *n1 *n2 *n3 *r496

              2   4   7   4   4             2   4   5   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - 21*m1 *m2 *n1 *n2  *r496

              2   4   5   8   2             2   4   5   6   4
       + 92*m1 *m2 *n1 *n2 *n3 *r496 + 80*m1 *m2 *n1 *n2 *n3 *r496

              2   4   3   12             2   4   3   10   2
       - 15*m1 *m2 *n1 *n2  *r496 - 11*m1 *m2 *n1 *n2  *n3 *r496

              2   4   3   8   4            2   4      14
       + 64*m1 *m2 *n1 *n2 *n3 *r496 + 3*m1 *m2 *n1*n2  *r496

              2   4      12   2             2   4      10   4
       - 19*m1 *m2 *n1*n2  *n3 *r496 - 28*m1 *m2 *n1*n2  *n3 *r496

           2   3   14   2            2   3   12   4
       - m1 *m2 *n1  *n2 *r483 + 2*m1 *m2 *n1  *n2 *r483

             2   3   12   2   2            2   3   10   6
       - 9*m1 *m2 *n1  *n2 *n3 *r483 + 7*m1 *m2 *n1  *n2 *r483

             2   3   10   4   2             2   3   10   2   4
       - 3*m1 *m2 *n1  *n2 *n3 *r483 - 12*m1 *m2 *n1  *n2 *n3 *r483

              2   3   8   6   2            2   3   8   4   4
       + 20*m1 *m2 *n1 *n2 *n3 *r483 - 4*m1 *m2 *n1 *n2 *n3 *r483

             2   3   6   10            2   3   6   8   2
       - 7*m1 *m2 *n1 *n2  *r483 + 8*m1 *m2 *n1 *n2 *n3 *r483

              2   3   6   6   4            2   3   4   12
       + 20*m1 *m2 *n1 *n2 *n3 *r483 - 2*m1 *m2 *n1 *n2  *r483

              2   3   4   10   2            2   3   4   8   4
       - 11*m1 *m2 *n1 *n2  *n3 *r483 + 4*m1 *m2 *n1 *n2 *n3 *r483

           2   3   2   14            2   3   2   12   2
       + m1 *m2 *n1 *n2  *r483 - 5*m1 *m2 *n1 *n2  *n3 *r483

             2   3   2   10   4               5   12   3
       - 8*m1 *m2 *n1 *n2  *n3 *r483 - 2*m1*m2 *n1  *n2 *r496

                5   10   5               5   10   3   2
       - 5*m1*m2 *n1  *n2 *r496 - 9*m1*m2 *n1  *n2 *n3 *r496

                 5   8   7                5   8   5   2
       + 10*m1*m2 *n1 *n2 *r496 - 23*m1*m2 *n1 *n2 *n3 *r496

                5   8   3   4                5   6   9
       - 8*m1*m2 *n1 *n2 *n3 *r496 + 20*m1*m2 *n1 *n2 *r496

                 5   6   7   2                5   6   5   4
       + 32*m1*m2 *n1 *n2 *n3 *r496 - 16*m1*m2 *n1 *n2 *n3 *r496

                 5   4   9   2                5   4   7   4
       + 67*m1*m2 *n1 *n2 *n3 *r496 + 34*m1*m2 *n1 *n2 *n3 *r496

                5   2   13                5   2   11   2
       - 7*m1*m2 *n1 *n2  *r496 + 15*m1*m2 *n1 *n2  *n3 *r496

                 5   2   9   4               5   13   2
       + 36*m1*m2 *n1 *n2 *n3 *r496 - 6*m1*m2 *n2  *n3 *r496

                5   11   4               4   13   3
       - 6*m1*m2 *n2  *n3 *r496 - 2*m1*m2 *n1  *n2 *r483

                4   11   5               4   11   3   2
       - 2*m1*m2 *n1  *n2 *r483 - 9*m1*m2 *n1  *n2 *n3 *r483

                4   9   7                4   9   5   2
       + 4*m1*m2 *n1 *n2 *r483 - 11*m1*m2 *n1 *n2 *n3 *r483

                4   9   3   4               4   7   9
       - 8*m1*m2 *n1 *n2 *n3 *r483 + 4*m1*m2 *n1 *n2 *r483

                4   7   7   2               4   7   5   4
       + 9*m1*m2 *n1 *n2 *n3 *r483 - 6*m1*m2 *n1 *n2 *n3 *r483

                4   5   11                4   5   9   2
       - 2*m1*m2 *n1 *n2  *r483 + 13*m1*m2 *n1 *n2 *n3 *r483

                 4   5   7   4               4   3   13
       + 10*m1*m2 *n1 *n2 *n3 *r483 - 2*m1*m2 *n1 *n2  *r483

                4   3   9   4               4      13   2
       + 6*m1*m2 *n1 *n2 *n3 *r483 - 2*m1*m2 *n1*n2  *n3 *r483

                4      11   4          6   11   4            6   9   6
       - 2*m1*m2 *n1*n2  *n3 *r483 - m2 *n1  *n2 *r496 - 3*m2 *n1 *n2 *r496

             6   9   4   2          6   7   8            6   7   6   2
       - 3*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2 *r496 - 8*m2 *n1 *n2 *n3 *r496

             6   7   4   4            6   5   10            6   5   8   2
       - 2*m2 *n1 *n2 *n3 *r496 + 7*m2 *n1 *n2  *r496 + 5*m2 *n1 *n2 *n3 *r496

             6   5   6   4            6   3   12             6   3   10   2
       - 4*m2 *n1 *n2 *n3 *r496 + 4*m2 *n1 *n2  *r496 + 18*m2 *n1 *n2  *n3 *r496

             6   3   8   4            6      12   2
       + 6*m2 *n1 *n2 *n3 *r496 + 8*m2 *n1*n2  *n3 *r496

             6      10   4          5   12   4            5   10   6
       + 8*m2 *n1*n2  *n3 *r496 - m2 *n1  *n2 *r483 - 2*m2 *n1  *n2 *r483

             5   10   4   2            5   8   6   2
       - 3*m2 *n1  *n2 *n3 *r483 - 5*m2 *n1 *n2 *n3 *r483

             5   8   4   4            5   6   10          5   6   8   2
       - 2*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1 *n2  *r483 + m2 *n1 *n2 *n3 *r483

             5   6   6   4          5   4   12            5   4   10   2
       - 2*m2 *n1 *n2 *n3 *r483 + m2 *n1 *n2  *r483 + 5*m2 *n1 *n2  *n3 *r483

             5   4   8   4            5   2   12   2
       + 2*m2 *n1 *n2 *n3 *r483 + 2*m2 *n1 *n2  *n3 *r483

             5   2   10   4                5   10   3   2
       + 2*m2 *n1 *n2  *n3 *r483)/(2*a33*m1 *n1  *n2 *n3

              5   10      4           5   8   5   2           5   8   3   4
    - 4*a33*m1 *n1  *n2*n3  + 2*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3

              5   6   7   2           5   6   5   4           5   4   9   2
    - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3

              5   4   7   4           4      11   4           4      11   2   2
    + 4*a33*m1 *n1 *n2 *n3  + 2*a33*m1 *m2*n1  *n2  - 8*a33*m1 *m2*n1  *n2 *n3

              4      11   4           4      9   6           4      9   4   2
    + 4*a33*m1 *m2*n1  *n3  + 4*a33*m1 *m2*n1 *n2  - 6*a33*m1 *m2*n1 *n2 *n3

               4      9   2   4            4      7   6   2
    - 12*a33*m1 *m2*n1 *n2 *n3  + 10*a33*m1 *m2*n1 *n2 *n3

               4      7   4   4           4      5   10
    - 20*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

              4      5   8   2            4      5   6   4
    + 6*a33*m1 *m2*n1 *n2 *n3  + 12*a33*m1 *m2*n1 *n2 *n3

              4      3   12           4      3   10   2
    - 2*a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

               4      3   8   4           3   2   12   3
    + 16*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2 *n1  *n2

              3   2   12      2           3   2   10   5
    + 6*a33*m1 *m2 *n1  *n2*n3  - 4*a33*m1 *m2 *n1  *n2

               3   2   10   3   2            3   2   10      4
    - 14*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

              3   2   8   7            3   2   8   5   2
    + 8*a33*m1 *m2 *n1 *n2  - 32*a33*m1 *m2 *n1 *n2 *n3

              3   2   8   3   4           3   2   6   9
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

              3   2   6   7   2            3   2   6   5   4
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   11            3   2   4   9   2
    - 4*a33*m1 *m2 *n1 *n2   + 26*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   7   4           3   2   2   13
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

              3   2   2   11   2            3   2   2   9   4
    + 6*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

              2   3   13   2           2   3   11   4
    + 2*a33*m1 *m2 *n1  *n2  - 4*a33*m1 *m2 *n1  *n2

               2   3   11   2   2            2   3   9   6
    + 18*a33*m1 *m2 *n1  *n2 *n3  - 14*a33*m1 *m2 *n1 *n2

              2   3   9   4   2            2   3   9   2   4
    + 6*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

               2   3   7   6   2           2   3   7   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   10            2   3   5   8   2
    + 14*a33*m1 *m2 *n1 *n2   - 16*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   6   4           2   3   3   12
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1 *n2

               2   3   3   10   2           2   3   3   8   4
    + 22*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2 *n3

              2   3      14            2   3      12   2
    - 2*a33*m1 *m2 *n1*n2   + 10*a33*m1 *m2 *n1*n2  *n3

               2   3      10   4              4   12   3              4   10   5
    + 16*a33*m1 *m2 *n1*n2  *n3  + 4*a33*m1*m2 *n1  *n2  + 4*a33*m1*m2 *n1  *n2

                  4   10   3   2              4   8   7
    + 18*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1 *n2

                  4   8   5   2               4   8   3   4
    + 22*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                 4   6   9               4   6   7   2
    - 8*a33*m1*m2 *n1 *n2  - 18*a33*m1*m2 *n1 *n2 *n3

                  4   6   5   4              4   4   11
    + 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n1 *n2

                  4   4   9   2               4   4   7   4
    - 26*a33*m1*m2 *n1 *n2 *n3  - 20*a33*m1*m2 *n1 *n2 *n3

                 4   2   13               4   2   9   4              4   13   2
    + 4*a33*m1*m2 *n1 *n2   - 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n2  *n3

                 4   11   4           5   11   4           5   9   6
    + 4*a33*m1*m2 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1 *n2

              5   9   4   2            5   7   6   2           5   7   4   4
    + 6*a33*m2 *n1 *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   5   10           5   5   8   2           5   5   6   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   3   12            5   3   10   2           5   3   8   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2 *n3

              5      12   2           5      10   4
    - 4*a33*m2 *n1*n2  *n3  - 4*a33*m2 *n1*n2  *n3 )


           2   7   6   4   2             2   7   6   2   4
r341=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   7   4   6   2             2   7   4   4   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6      7   5              2   6      7   3   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   6      7      4             2   6      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   6      5   5   2              2   6      5   3   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   6      3   9             2   6      3   7   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   6      3   5   4             2   6   8   3   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   6   8      4             2   6   6   5   2
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   6   6   3   4             2   6   4   7   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   6   4   5   4              2   5   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   8   2   2             2   5   2   8   4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   5   2   6   6              2   5   2   6   4   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   6   2   4             2   5   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   5   2   4   6   2              2   5   2   4   4   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   2   2   10              2   5   2   2   8   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   2   2   6   4             2   5      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

              2   5      9   2   2             2   5      9   4
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   5      7   6              2   5      7   4   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      7   2   4             2   5      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   5      5   6   2              2   5      5   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   5      3   10             2   5      3   8   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   5      3   6   4              2   4   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   9      2              2   4   3   7   3   2
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   7      4              2   4   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   4   3   5   5   2              2   4   3   5   3   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   3   9              2   4   3   3   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   3   3   5   4             2   4   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   4   3      9   2              2   4   3      7   4
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   4   2   10   3             2   4   2   10      2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   4   2   8   5             2   4   2   8   3   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   8      4              2   4   2   6   5   2
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   6   3   4             2   4   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   4   2   4   7   2              2   4   2   4   5   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   2   2   11             2   4   2   2   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   2   2   7   4             2   3   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   3   4   8   4              2   3   4   8   2   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   6   6              2   3   4   6   4   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   6   2   4              2   3   4   4   6   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   4   4   4   4              2   3   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   3   4   2   8   2              2   3   4   2   6   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   4   10   2             2   3   4   8   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   3   3   11   2             2   3   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   9   2   2              2   3   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   3   3   7   4   2              2   3   3   7   2   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   5   8              2   3   3   5   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   3   5   4   4             2   3   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   3   3   3   8   2             2   3   3   3   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   3      12              2   3   3      10   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   3      8   4             2   2   5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r214

              2   2   5   7   5              2   2   5   7   3   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   5   7              2   2   5   5   5   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5   5   3   4              2   2   5   3   9
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   2   5   3   7   2              2   2   5   3   5   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   5      9   2              2   2   5      7   4
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r214 + 16*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       + 4*a33 *m1 *m2 *n1  *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   8   3   2              2   2   4   6   5   2
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   4   6   3   4             2   2   4   4   9
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   2   4   4   7   2              2   2   4   4   5   4
       + 22*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 28*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   2   11             2   2   4   2   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   4   2   7   4             2   2   4   11   2
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   4   9   4             2      6   8   4
       - 4*a33 *m1 *m2 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1 *n2 *r214

              2      6   6   6              2      6   6   4   2
       - 8*a33 *m1*m2 *n1 *n2 *r214 - 12*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   4   8              2      6   4   6   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 20*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   4   4   4             2      6   2   8   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r214 - 8*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      6   2   6   4             2      5   9   4
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r214 + 2*a33 *m1*m2 *n1 *n2 *r216

              2      5   7   6             2      5   7   4   2
       + 6*a33 *m1*m2 *n1 *n2 *r216 + 6*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   5   8              2      5   5   6   2
       + 6*a33 *m1*m2 *n1 *n2 *r216 + 16*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5   5   4   4             2      5   3   10
       + 4*a33 *m1*m2 *n1 *n2 *n3 *r216 + 2*a33 *m1*m2 *n1 *n2  *r216

               2      5   3   8   2             2      5   3   6   4
       + 14*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      5      10   2             2      5      8   4
       + 4*a33 *m1*m2 *n1*n2  *n3 *r216 + 4*a33 *m1*m2 *n1*n2 *n3 *r216

           6   8   5   2            6   8   3   4            6   6   7   2
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             6   6   5   4          6   4   9   2            6   4   7   4
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           5      11   2   2            5      11   4          5      9   6
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496 + m1 *m2*n1 *n2 *r496

           5      9   4   2            5      9   2   4
       - m1 *m2*n1 *n2 *n3 *r496 - 4*m1 *m2*n1 *n2 *n3 *r496

             5      7   8            5      7   6   2
       + 3*m1 *m2*n1 *n2 *r496 - 4*m1 *m2*n1 *n2 *n3 *r496

              5      7   4   4            5      5   10
       - 10*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2  *r496

           5      5   8   2             5      5   6   4
       - m1 *m2*n1 *n2 *n3 *r496 - 16*m1 *m2*n1 *n2 *n3 *r496

           5      3   12          5      3   10   2
       + m1 *m2*n1 *n2  *r496 + m1 *m2*n1 *n2  *n3 *r496

             5      3   8   4          4   2   12   3
       - 8*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

             4   2   12      2            4   2   10   5
       - 3*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1  *n2 *r496

             4   2   10   3   2            4   2   10      4
       - 5*m1 *m2 *n1  *n2 *n3 *r496 - 8*m1 *m2 *n1  *n2*n3 *r496

             4   2   8   7             4   2   8   5   2
       + 2*m1 *m2 *n1 *n2 *r496 - 10*m1 *m2 *n1 *n2 *n3 *r496

              4   2   8   3   4            4   2   6   9
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + 4*m1 *m2 *n1 *n2 *r496

              4   2   6   7   2             4   2   6   5   4
       - 20*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

             4   2   4   11             4   2   4   9   2
       + 5*m1 *m2 *n1 *n2  *r496 - 15*m1 *m2 *n1 *n2 *n3 *r496

              4   2   4   7   4            4   2   2   13
       - 24*m1 *m2 *n1 *n2 *n3 *r496 + 2*m1 *m2 *n1 *n2  *r496

             4   2   2   11   2             4   2   2   9   4
       - 3*m1 *m2 *n1 *n2  *n3 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

           3   3   13   2          3   3   11   4
       - m1 *m2 *n1  *n2 *r496 - m1 *m2 *n1  *n2 *r496

             3   3   11   2   2          3   3   9   6
       - 9*m1 *m2 *n1  *n2 *n3 *r496 + m1 *m2 *n1 *n2 *r496

              3   3   9   4   2             3   3   9   2   4
       - 21*m1 *m2 *n1 *n2 *n3 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

              3   3   7   6   2             3   3   7   4   4
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

           3   3   5   10             3   3   5   8   2
       - m1 *m2 *n1 *n2  *r496 - 26*m1 *m2 *n1 *n2 *n3 *r496

              3   3   5   6   4          3   3   3   12
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

              3   3   3   10   2             3   3   3   8   4
       - 19*m1 *m2 *n1 *n2  *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

           3   3      14            3   3      12   2
       + m1 *m2 *n1*n2  *r496 - 5*m1 *m2 *n1*n2  *n3 *r496

             3   3      10   4            2   4   12   3
       - 8*m1 *m2 *n1*n2  *n3 *r496 - 2*m1 *m2 *n1  *n2 *r496

             2   4   10   5            2   4   10   3   2
       - 5*m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

             2   4   8   7             2   4   8   5   2
       - 4*m1 *m2 *n1 *n2 *r496 - 23*m1 *m2 *n1 *n2 *n3 *r496

             2   4   8   3   4            2   4   6   9
       - 8*m1 *m2 *n1 *n2 *n3 *r496 - 2*m1 *m2 *n1 *n2 *r496

              2   4   6   7   2             2   4   6   5   4
       - 22*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             2   4   4   11             2   4   4   9   2
       - 2*m1 *m2 *n1 *n2  *r496 - 13*m1 *m2 *n1 *n2 *n3 *r496

              2   4   4   7   4          2   4   2   13
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

             2   4   2   11   2            2   4   2   9   4
       - 7*m1 *m2 *n1 *n2  *n3 *r496 - 4*m1 *m2 *n1 *n2 *n3 *r496

             2   4   13   2            2   4   11   4
       - 2*m1 *m2 *n2  *n3 *r496 - 2*m1 *m2 *n2  *n3 *r496

              5   11   4               5   9   6
       - m1*m2 *n1  *n2 *r496 - 3*m1*m2 *n1 *n2 *r496

                5   9   4   2               5   7   8
       - 3*m1*m2 *n1 *n2 *n3 *r496 - 3*m1*m2 *n1 *n2 *r496

                5   7   6   2               5   7   4   4
       - 8*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2 *n3 *r496

              5   5   10               5   5   8   2
       - m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2 *n3 *r496

                5   5   6   4               5   3   10   2
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *n3 *r496

                5   3   8   4                6   8   4   2
       - 2*m1*m2 *n1 *n2 *n3 *r496)/(2*a33*m1 *n1 *n2 *n3

              6   8   2   4           6   4   8   2           6   4   6   4
    - 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3

              5      9   5            5      9   3   2           5      9      4
    + 2*a33*m1 *m2*n1 *n2  - 10*a33*m1 *m2*n1 *n2 *n3  + 8*a33*m1 *m2*n1 *n2*n3

              5      7   7           5      7   5   2
    + 2*a33*m1 *m2*n1 *n2  + 2*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 16*a33*m1 *m2*n1 *n2 *n3  - 2*a33*m1 *m2*n1 *n2

               5      5   7   2           5      5   5   4
    + 10*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 2*a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4           4   2   10   4
    + 16*a33*m1 *m2*n1 *n2 *n3  - 6*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 14*a33*m1 *m2 *n1  *n2 *n3  - 4*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 2*a33*m1 *m2 *n1 *n2  - 22*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 32*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 20*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 2*a33*m1 *m2 *n1 *n2   + 22*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 32*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

              4   2   2   10   2            4   2   2   8   4
    + 6*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

              3   3   11   3           3   3   11      2           3   3   9   5
    + 6*a33*m1 *m2 *n1  *n2  - 6*a33*m1 *m2 *n1  *n2*n3  - 6*a33*m1 *m2 *n1 *n2

               3   3   9   3   2            3   3   9      4
    + 38*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2*n3

               3   3   7   7            3   3   7   3   4
    - 16*a33*m1 *m2 *n1 *n2  + 48*a33*m1 *m2 *n1 *n2 *n3

              3   3   5   9            3   3   5   7   2
    + 8*a33*m1 *m2 *n1 *n2  - 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   3   11           3   3   3   9   2
    + 10*a33*m1 *m2 *n1 *n2   + 6*a33*m1 *m2 *n1 *n2 *n3

               3   3   3   7   4           3   3      13
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 2*a33*m1 *m2 *n1*n2

               3   3      11   2            3   3      9   4
    + 10*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1 *m2 *n1*n2 *n3

              2   4   12   2            2   4   10   4
    - 2*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2

               2   4   10   2   2           2   4   8   6
    - 18*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

               2   4   8   4   2            2   4   8   2   4
    + 30*a33*m1 *m2 *n1 *n2 *n3  - 24*a33*m1 *m2 *n1 *n2 *n3

               2   4   6   8            2   4   6   6   2
    - 16*a33*m1 *m2 *n1 *n2  + 32*a33*m1 *m2 *n1 *n2 *n3

               2   4   6   4   4           2   4   4   10
    + 32*a33*m1 *m2 *n1 *n2 *n3  - 6*a33*m1 *m2 *n1 *n2

               2   4   4   8   2            2   4   4   6   4
    - 34*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2 *n3

              2   4   2   12            2   4   2   10   2
    + 6*a33*m1 *m2 *n1 *n2   - 14*a33*m1 *m2 *n1 *n2  *n3

               2   4   2   8   4           2   4   12   2
    - 32*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n2  *n3

              2   4   10   4              5   11   3              5   9   5
    + 4*a33*m1 *m2 *n2  *n3  - 4*a33*m1*m2 *n1  *n2  + 2*a33*m1*m2 *n1 *n2

                  5   9   3   2               5   7   7
    - 18*a33*m1*m2 *n1 *n2 *n3  + 10*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 2*a33*m1*m2 *n1 *n2 *n3  - 16*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 2*a33*m1*m2 *n1 *n2  + 26*a33*m1*m2 *n1 *n2 *n3

                 5   5   5   4              5   3   11
    + 8*a33*m1*m2 *n1 *n2 *n3  - 6*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 2*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                 5      11   2              5      9   4           6   10   4
    - 8*a33*m1*m2 *n1*n2  *n3  - 8*a33*m1*m2 *n1*n2 *n3  - 2*a33*m2 *n1  *n2

              6   8   6           6   8   4   2           6   6   8
    - 2*a33*m2 *n1 *n2  - 6*a33*m2 *n1 *n2 *n3  + 2*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 4*a33*m2 *n1 *n2 *n3  - 4*a33*m2 *n1 *n2 *n3  + 2*a33*m2 *n1 *n2

              6   4   8   2           6   2   10   2           6   2   8   4
    + 6*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2  *n3  + 4*a33*m2 *n1 *n2 *n3 )


              2   6   6   4   3             2   6   6   2   5
r342=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   3             2   6   4   4   5
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5                 2   5      7   3   3
       - 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      5             2   5      5   7
       - 16*a33 *m1 *m2*n1 *n2*n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   5   3              2   5      5   3   5
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9                2   5      3   7   3
       - 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   5             2   5   8   3   3
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      5             2   5   6   5   3
       + 4*a33 *m1 *n1 *n2*n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   5             2   5   4   7   3
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   5              2   4   2   8   4
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   2   3             2   4   2   8   5
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6                 2   4   2   6   4   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   5             2   4   2   4   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   6   3              2   4   2   4   4   5
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10                 2   4   2   2   8   3
       - 8*a33 *m1 *m2 *n1 *n2  *n3*r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   5             2   4      9   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   2   3             2   4      9   5
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6                 2   4      7   4   3
       - 6*a33 *m1 *m2*n1 *n2 *n3*r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   5             2   4      5   8
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   6   3              2   4      5   4   5
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10                2   4      3   8   3
       - 2*a33 *m1 *m2*n1 *n2  *n3*r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   5              2   3   3   9   3
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9      3              2   3   3   7   3   3
       + 12*a33 *m1 *m2 *n1 *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      5              2   3   3   5   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   5   3              2   3   3   5   3   5
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9                 2   3   3   3   7   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   5             2   3   3      11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      9   3              2   3   3      7   5
       + 20*a33 *m1 *m2 *n1*n2 *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3                2   3   2   10      3
       + 4*a33 *m1 *m2 *n1  *n2 *n3*r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5                2   3   2   8   3   3
       + 8*a33 *m1 *m2 *n1 *n2 *n3*r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      5              2   3   2   6   5   3
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   5             2   3   2   4   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   4   7   3              2   3   2   4   5   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11                2   3   2   2   9   3
       - 4*a33 *m1 *m2 *n1 *n2  *n3*r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   5             2   2   4   10   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   4                 2   2   4   8   2   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6                 2   2   4   6   4   3
       - 32*a33 *m1 *m2 *n1 *n2 *n3*r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   5              2   2   4   4   6   3
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   5              2   2   4   2   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   8   3              2   2   4   2   6   5
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2                2   2   3   9   4
       - 2*a33 *m1 *m2 *n1  *n2 *n3*r216 + 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   2   3              2   2   3   7   6
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   4   3              2   2   3   7   2   5
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8                 2   2   3   5   6   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   5             2   2   3   3   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   8   3             2   2   3   3   6   5
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12                 2   2   3      10   3
       - 2*a33 *m1 *m2 *n1*n2  *n3*r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   5             2      5   9   3
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   5                 2      5   7   3   3
       + 4*a33 *m1*m2 *n1 *n2 *n3*r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7                 2      5   5   5   3
       - 16*a33 *m1*m2 *n1 *n2 *n3*r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   5              2      5   3   9
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   3   7   3              2      5   3   5   5
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   3              2      5      7   5
       - 16*a33 *m1*m2 *n1*n2 *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3                2      4   8   5
       - 4*a33 *m1*m2 *n1  *n2 *n3*r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   3   3              2      4   6   5   3
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   5             2      4   4   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   4   7   3              2      4   4   5   5
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11                2      4   2   9   3
       + 4*a33 *m1*m2 *n1 *n2  *n3*r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   5             2      4   11   3
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   5             2   6   8   4
       + 4*a33 *m1*m2 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   6                 2   6   6   4   3
       + 8*a33 *m2 *n1 *n2 *n3*r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8                 2   6   4   6   3
       + 4*a33 *m2 *n1 *n2 *n3*r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   5             2   6   2   8   3
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   5             2   5   9   4
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   6                2   5   7   4   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8                 2   5   5   6   3
       - 6*a33 *m2 *n1 *n2 *n3*r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   5             2   5   3   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   8   3             2   5   3   6   5
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   3             2   5      8   5
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

           5   8   5   3            5   8   3   5            5   6   7   3
       - m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

             5   6   5   5          5   4   9   3            5   4   7   5
       + 4*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

           4      11   2   3            4      11   5
       - m1 *m2*n1  *n2 *n3 *r496 + 2*m1 *m2*n1  *n3 *r496

           4      9   6             4      9   4   3
       - m1 *m2*n1 *n2 *n3*r496 + m1 *m2*n1 *n2 *n3 *r496

             4      9   2   5            4      7   8
       + 4*m1 *m2*n1 *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *n3*r496

             4      7   6   3             4      7   4   5
       + 4*m1 *m2*n1 *n2 *n3 *r496 + 10*m1 *m2*n1 *n2 *n3 *r496

             4      5   10             4      5   8   3
       - 3*m1 *m2*n1 *n2  *n3*r496 + m1 *m2*n1 *n2 *n3 *r496

              4      5   6   5          4      3   12
       + 16*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *n3*r496

           4      3   10   3            4      3   8   5
       - m1 *m2*n1 *n2  *n3 *r496 + 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   3               3   2   12      3
       - m1 *m2 *n1  *n2 *n3*r496 + 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5               3   2   10   3   3
       - 2*m1 *m2 *n1  *n2 *n3*r496 + 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      5            3   2   8   7
       + 8*m1 *m2 *n1  *n2*n3 *r496 - 2*m1 *m2 *n1 *n2 *n3*r496

              3   2   8   5   3             3   2   8   3   5
       + 10*m1 *m2 *n1 *n2 *n3 *r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   9                3   2   6   7   3
       - 4*m1 *m2 *n1 *n2 *n3*r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   5            3   2   4   11
       + 20*m1 *m2 *n1 *n2 *n3 *r496 - 5*m1 *m2 *n1 *n2  *n3*r496

              3   2   4   9   3             3   2   4   7   5
       + 15*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13               3   2   2   11   3
       - 2*m1 *m2 *n1 *n2  *n3*r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   5          2   3   13   2
       + 12*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *n3*r496

           2   3   11   4               2   3   11   2   3
       + m1 *m2 *n1  *n2 *n3*r496 + 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   9   6                2   3   9   4   3
       - m1 *m2 *n1 *n2 *n3*r496 + 21*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   5             2   3   7   6   3
       + 12*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   5          2   3   5   10
       + 24*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *n3*r496

              2   3   5   8   3             2   3   5   6   5
       + 26*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   3   12                2   3   3   10   3
       - m1 *m2 *n1 *n2  *n3*r496 + 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   5          2   3      14
       + 16*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1*n2  *n3*r496

             2   3      12   3            2   3      10   5
       + 5*m1 *m2 *n1*n2  *n3 *r496 + 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3                  4   10   5
       + 2*m1*m2 *n1  *n2 *n3*r496 + 5*m1*m2 *n1  *n2 *n3*r496

                4   10   3   3               4   8   7
       + 9*m1*m2 *n1  *n2 *n3 *r496 + 4*m1*m2 *n1 *n2 *n3*r496

                 4   8   5   3               4   8   3   5
       + 23*m1*m2 *n1 *n2 *n3 *r496 + 8*m1*m2 *n1 *n2 *n3 *r496

                4   6   9                   4   6   7   3
       + 2*m1*m2 *n1 *n2 *n3*r496 + 22*m1*m2 *n1 *n2 *n3 *r496

                 4   6   5   5               4   4   11
       + 16*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n1 *n2  *n3*r496

                 4   4   9   3                4   4   7   5
       + 13*m1*m2 *n1 *n2 *n3 *r496 + 10*m1*m2 *n1 *n2 *n3 *r496

              4   2   13                  4   2   11   3
       + m1*m2 *n1 *n2  *n3*r496 + 7*m1*m2 *n1 *n2  *n3 *r496

                4   2   9   5               4   13   3
       + 4*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n2  *n3 *r496

                4   11   5          5   11   4               5   9   6
       + 2*m1*m2 *n2  *n3 *r496 + m2 *n1  *n2 *n3*r496 + 3*m2 *n1 *n2 *n3*r496

             5   9   4   3            5   7   8               5   7   6   3
       + 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2 *n3*r496 + 8*m2 *n1 *n2 *n3 *r496

             5   7   4   5          5   5   10               5   5   8   3
       + 2*m2 *n1 *n2 *n3 *r496 + m2 *n1 *n2  *n3*r496 + 7*m2 *n1 *n2 *n3 *r496

             5   5   6   5            5   3   10   3
       + 4*m2 *n1 *n2 *n3 *r496 + 2*m2 *n1 *n2  *n3 *r496

             5   3   8   5                5   10   3   2           5   10      4
       + 2*m2 *n1 *n2 *n3 *r496)/(2*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1  *n2*n3

              5   8   5   2           5   8   3   4           5   6   7   2
    + 2*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3

              5   6   5   4           5   4   9   2           5   4   7   4
    + 4*a33*m1 *n1 *n2 *n3  - 2*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *n1 *n2 *n3

              4      11   4           4      11   2   2           4      11   4
    + 2*a33*m1 *m2*n1  *n2  - 8*a33*m1 *m2*n1  *n2 *n3  + 4*a33*m1 *m2*n1  *n3

              4      9   6           4      9   4   2
    + 4*a33*m1 *m2*n1 *n2  - 6*a33*m1 *m2*n1 *n2 *n3

               4      9   2   4            4      7   6   2
    - 12*a33*m1 *m2*n1 *n2 *n3  + 10*a33*m1 *m2*n1 *n2 *n3

               4      7   4   4           4      5   10
    - 20*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

              4      5   8   2            4      5   6   4
    + 6*a33*m1 *m2*n1 *n2 *n3  + 12*a33*m1 *m2*n1 *n2 *n3

              4      3   12           4      3   10   2
    - 2*a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

               4      3   8   4           3   2   12   3
    + 16*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2 *n1  *n2

              3   2   12      2           3   2   10   5
    + 6*a33*m1 *m2 *n1  *n2*n3  - 4*a33*m1 *m2 *n1  *n2

               3   2   10   3   2            3   2   10      4
    - 14*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

              3   2   8   7            3   2   8   5   2
    + 8*a33*m1 *m2 *n1 *n2  - 32*a33*m1 *m2 *n1 *n2 *n3

              3   2   8   3   4           3   2   6   9
    - 8*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2

              3   2   6   7   2            3   2   6   5   4
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   11            3   2   4   9   2
    - 4*a33*m1 *m2 *n1 *n2   + 26*a33*m1 *m2 *n1 *n2 *n3

              3   2   4   7   4           3   2   2   13
    + 8*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

              3   2   2   11   2            3   2   2   9   4
    + 6*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

              2   3   13   2           2   3   11   4
    + 2*a33*m1 *m2 *n1  *n2  - 4*a33*m1 *m2 *n1  *n2

               2   3   11   2   2            2   3   9   6
    + 18*a33*m1 *m2 *n1  *n2 *n3  - 14*a33*m1 *m2 *n1 *n2

              2   3   9   4   2            2   3   9   2   4
    + 6*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2 *n3

               2   3   7   6   2           2   3   7   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   10            2   3   5   8   2
    + 14*a33*m1 *m2 *n1 *n2   - 16*a33*m1 *m2 *n1 *n2 *n3

               2   3   5   6   4           2   3   3   12
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1 *n2

               2   3   3   10   2           2   3   3   8   4
    + 22*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2 *n3

              2   3      14            2   3      12   2
    - 2*a33*m1 *m2 *n1*n2   + 10*a33*m1 *m2 *n1*n2  *n3

               2   3      10   4              4   12   3              4   10   5
    + 16*a33*m1 *m2 *n1*n2  *n3  + 4*a33*m1*m2 *n1  *n2  + 4*a33*m1*m2 *n1  *n2

                  4   10   3   2              4   8   7
    + 18*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1 *n2

                  4   8   5   2               4   8   3   4
    + 22*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2 *n3

                 4   6   9               4   6   7   2
    - 8*a33*m1*m2 *n1 *n2  - 18*a33*m1*m2 *n1 *n2 *n3

                  4   6   5   4              4   4   11
    + 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n1 *n2

                  4   4   9   2               4   4   7   4
    - 26*a33*m1*m2 *n1 *n2 *n3  - 20*a33*m1*m2 *n1 *n2 *n3

                 4   2   13               4   2   9   4              4   13   2
    + 4*a33*m1*m2 *n1 *n2   - 12*a33*m1*m2 *n1 *n2 *n3  + 4*a33*m1*m2 *n2  *n3

                 4   11   4           5   11   4           5   9   6
    + 4*a33*m1*m2 *n2  *n3  + 2*a33*m2 *n1  *n2  + 4*a33*m2 *n1 *n2

              5   9   4   2            5   7   6   2           5   7   4   4
    + 6*a33*m2 *n1 *n2 *n3  + 10*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   5   10           5   5   8   2           5   5   6   4
    - 4*a33*m2 *n1 *n2   - 2*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2 *n3

              5   3   12            5   3   10   2           5   3   8   4
    - 2*a33*m2 *n1 *n2   - 10*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2 *n3

              5      12   2           5      10   4
    - 4*a33*m2 *n1*n2  *n3  - 4*a33*m2 *n1*n2  *n3 )


r343=0


              2   6   7   4   2             2   6   7   2   4
r344=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   5   6   2             2   6   5   4   4
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      8   5              2   5      8   3   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      8      4             2   5      6   7
       - 16*a33 *m1 *m2*n1 *n2*n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      6   5   2              2   5      6   3   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   9             2   5      4   7   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      4   5   4             2   5   9   3   2
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   9      4             2   5   7   5   2
       + 4*a33 *m1 *n1 *n2*n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   7   3   4             2   5   5   7   2
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   5   5   4              2   4   2   9   4
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   9   2   2             2   4   2   9   4
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   7   6              2   4   2   7   4   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   7   2   4             2   4   2   5   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   5   6   2              2   4   2   5   4   4
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   3   10              2   4   2   3   8   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   6   4             2   4      10   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1  *n2 *r216

              2   4      10   2   2             2   4      10   4
       + 8*a33 *m1 *m2*n1  *n2 *n3 *r216 - 4*a33 *m1 *m2*n1  *n3 *r216

              2   4      8   6              2   4      8   4   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      8   2   4             2   4      6   8
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      6   6   2              2   4      6   4   4
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   10             2   4      4   8   2
       - 2*a33 *m1 *m2*n1 *n2  *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      4   6   4              2   3   3   10   3
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r214

               2   3   3   10      2              2   3   3   8   3   2
       + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   8      4              2   3   3   6   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   6   5   2              2   3   3   6   3   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   9              2   3   3   4   7   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   5   4             2   3   3   2   11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

               2   3   3   2   9   2              2   3   3   2   7   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   2   11   3             2   3   2   11      2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   9   5             2   3   2   9   3   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   9      4              2   3   2   7   5   2
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   7   3   4             2   3   2   5   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   5   7   2              2   3   2   5   5   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   11             2   3   2   3   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   3   7   4             2   2   4   11   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   9   4              2   2   4   9   2   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   6              2   2   4   7   4   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   2   4              2   2   4   5   6   2
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   5   4   4              2   2   4   3   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   3   8   2              2   2   4   3   6   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4      10   2             2   2   4      8   4
       + 8*a33 *m1 *m2 *n1*n2  *n3 *r214 + 8*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   3   12   2             2   2   3   10   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1  *n2 *r216

               2   2   3   10   2   2              2   2   3   8   6
       - 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   8   4   2              2   2   3   8   2   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   8              2   2   3   6   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   4   4             2   2   3   4   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   4   8   2             2   2   3   4   6   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   2   12              2   2   3   2   10   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 + 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   3   2   8   4             2      5   10   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1  *n2 *r214

              2      5   8   5              2      5   8   3   2
       + 4*a33 *m1*m2 *n1 *n2 *r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   7              2      5   6   5   2
       - 16*a33 *m1*m2 *n1 *n2 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   3   4              2      5   4   9
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *r214

               2      5   4   7   2              2      5   4   5   4
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   2   9   2              2      5   2   7   4
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      4   11   3             2      4   9   5
       - 4*a33 *m1*m2 *n1  *n2 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   9   3   2              2      4   7   5   2
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   7   3   4             2      4   5   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   5   7   2              2      4   5   5   4
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   11             2      4   3   9   2
       + 4*a33 *m1*m2 *n1 *n2  *r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   7   4             2      4      11   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n1*n2  *n3 *r216

              2      4      9   4             2   6   9   4
       + 4*a33 *m1*m2 *n1*n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *r214

              2   6   7   6              2   6   7   4   2
       + 8*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   8              2   6   5   6   2
       + 4*a33 *m2 *n1 *n2 *r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   4   4             2   6   3   8   2
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   3   6   4             2   5   10   4
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1  *n2 *r216

              2   5   8   6             2   5   8   4   2
       - 6*a33 *m2 *n1 *n2 *r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   8              2   5   6   6   2
       - 6*a33 *m2 *n1 *n2 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   4   4             2   5   4   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   5   4   8   2             2   5   4   6   4
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5   2   10   2             2   5   2   8   4
       - 4*a33 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3 *r216

             5   11   3   2            5   11      4
       - 2*m1 *n1  *n2 *n3 *r496 + 4*m1 *n1  *n2*n3 *r496

             5   9   5   2            5   9   3   4          5   5   9   2
       - 3*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496

             5   5   7   4            4      12   4
       - 2*m1 *n1 *n2 *n3 *r496 - 2*m1 *m2*n1  *n2 *r496

             4      12   2   2            4      12   4
       + 7*m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

             4      10   6            4      10   4   2
       - 5*m1 *m2*n1  *n2 *r496 + 7*m1 *m2*n1  *n2 *n3 *r496

              4      10   2   4            4      8   8
       + 16*m1 *m2*n1  *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *r496

             4      8   6   2             4      8   4   4
       - 6*m1 *m2*n1 *n2 *n3 *r496 + 30*m1 *m2*n1 *n2 *n3 *r496

           4      6   10            4      6   8   2
       + m1 *m2*n1 *n2  *r496 - 5*m1 *m2*n1 *n2 *n3 *r496

             4      6   6   4          4      4   12
       + 4*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           4      4   10   2            4      4   8   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

             3   2   13   3            3   2   13      2
       + 3*m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   11   5             3   2   11   3   2
       + 2*m1 *m2 *n1  *n2 *r496 + 19*m1 *m2 *n1  *n2 *n3 *r496

             3   2   11      4             3   2   9   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 - 10*m1 *m2 *n1 *n2 *r496

              3   2   9   5   2             3   2   9   3   4
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

              3   2   7   9             3   2   7   7   2
       - 12*m1 *m2 *n1 *n2 *r496 + 12*m1 *m2 *n1 *n2 *n3 *r496

              3   2   7   5   4          3   2   5   11
       + 60*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

              3   2   5   9   2             3   2   5   7   4
       - 11*m1 *m2 *n1 *n2 *n3 *r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   3   13            3   2   3   11   2
       + 2*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   3   9   4          2   3   14   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *r496

             2   3   12   4            2   3   12   2   2
       + 5*m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

              2   3   10   6             2   3   10   4   2
       + 13*m1 *m2 *n1  *n2 *r496 + 15*m1 *m2 *n1  *n2 *n3 *r496

              2   3   10   2   4             2   3   8   6   2
       - 12*m1 *m2 *n1  *n2 *n3 *r496 + 64*m1 *m2 *n1 *n2 *n3 *r496

              2   3   8   4   4             2   3   6   10
       + 16*m1 *m2 *n1 *n2 *n3 *r496 - 13*m1 *m2 *n1 *n2  *r496

              2   3   6   8   2             2   3   6   6   4
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 60*m1 *m2 *n1 *n2 *n3 *r496

             2   3   4   12            2   3   4   10   2
       - 5*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              2   3   4   8   4          2   3   2   14
       + 24*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

             2   3   2   12   2            2   3   2   10   4
       - 5*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

                4   13   3             4   11   5
       - 2*m1*m2 *n1  *n2 *r496 + m1*m2 *n1  *n2 *r496

                4   11   3   2                4   9   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 + 12*m1*m2 *n1 *n2 *r496

              4   9   5   2               4   9   3   4
       + m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                 4   7   9                4   7   7   2
       + 10*m1*m2 *n1 *n2 *r496 + 40*m1*m2 *n1 *n2 *n3 *r496

                4   7   5   4               4   5   11
       + 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *r496

                 4   5   9   2                4   5   7   4
       + 39*m1*m2 *n1 *n2 *n3 *r496 + 30*m1*m2 *n1 *n2 *n3 *r496

                4   3   13               4   3   11   2
       - 3*m1*m2 *n1 *n2  *r496 + 7*m1*m2 *n1 *n2  *n3 *r496

                 4   3   9   4               4      13   2
       + 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1*n2  *n3 *r496

                4      11   4          5   12   4          5   10   6
       - 2*m1*m2 *n1*n2  *n3 *r496 - m2 *n1  *n2 *r496 - m2 *n1  *n2 *r496

             5   10   4   2            5   8   8            5   8   6   2
       - 3*m2 *n1  *n2 *n3 *r496 + 3*m2 *n1 *n2 *r496 - 2*m2 *n1 *n2 *n3 *r496

             5   8   4   4            5   6   10            5   6   8   2
       - 2*m2 *n1 *n2 *n3 *r496 + 5*m2 *n1 *n2  *r496 + 9*m2 *n1 *n2 *n3 *r496

             5   4   12             5   4   10   2            5   4   8   4
       + 2*m2 *n1 *n2  *r496 + 12*m2 *n1 *n2  *n3 *r496 + 6*m2 *n1 *n2 *n3 *r496

             5   2   12   2            5   2   10   4
       + 4*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2  *n3 *r496)/(

           6   8   4   2           6   8   2   4           6   4   8   2
   4*a33*m1 *n1 *n2 *n3  - 8*a33*m1 *n1 *n2 *n3  - 4*a33*m1 *n1 *n2 *n3

              6   4   6   4           5      9   5            5      9   3   2
    + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1 *n2  - 20*a33*m1 *m2*n1 *n2 *n3

               5      9      4           5      7   7           5      7   5   2
    + 16*a33*m1 *m2*n1 *n2*n3  + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


r345=0


           2   10   9   6   2              2   10   9   4   4
r347=(8*a33 *m1  *n1 *n2 *n3 *r214 - 16*a33 *m1  *n1 *n2 *n3 *r214

              2   10   7   8   2              2   10   7   6   4
       + 8*a33 *m1  *n1 *n2 *n3 *r214 - 16*a33 *m1  *n1 *n2 *n3 *r214

              2   9      10   7              2   9      10   5   2
       + 8*a33 *m1 *m2*n1  *n2 *r214 - 60*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   9      10   3   4              2   9      8   9
       + 72*a33 *m1 *m2*n1  *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *r214

               2   9      8   7   2              2   9      8   5   4
       - 40*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   9      6   11              2   9      6   9   2
       + 8*a33 *m1 *m2*n1 *n2  *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   9      6   7   4             2   9   11   5   2
       - 88*a33 *m1 *m2*n1 *n2 *n3 *r214 + 4*a33 *m1 *n1  *n2 *n3 *r216

              2   9   11   3   4             2   9   9   7   2
       - 8*a33 *m1 *n1  *n2 *n3 *r216 + 8*a33 *m1 *n1 *n2 *n3 *r216

               2   9   9   5   4             2   9   7   9   2
       - 16*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   9   7   7   4              2   8   2   11   6
       - 8*a33 *m1 *n1 *n2 *n3 *r216 - 44*a33 *m1 *m2 *n1  *n2 *r214

                2   8   2   11   4   2               2   8   2   11   2   4
       + 168*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   2   9   8              2   8   2   9   6   2
       - 60*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   2   9   4   4              2   8   2   7   10
       + 288*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

                2   8   2   7   8   2               2   8   2   7   6   4
       - 216*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 216*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   2   5   12              2   8   2   5   10   2
       + 28*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   2   5   8   4             2   8      12   6
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2*n1  *n2 *r216

               2   8      12   4   2              2   8      12   2   4
       - 26*a33 *m1 *m2*n1  *n2 *n3 *r216 + 28*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      10   8              2   8      10   6   2
       + 12*a33 *m1 *m2*n1  *n2 *r216 - 42*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      10   4   4              2   8      8   10
       + 12*a33 *m1 *m2*n1  *n2 *n3 *r216 + 12*a33 *m1 *m2*n1 *n2  *r216

              2   8      8   8   2              2   8      8   6   4
       - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 - 60*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   8      6   12              2   8      6   10   2
       + 4*a33 *m1 *m2*n1 *n2  *r216 + 10*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   8      6   8   4              2   7   3   12   5
       - 44*a33 *m1 *m2*n1 *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *r214

                2   7   3   12   3   2              2   7   3   12      4
       - 224*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   3   10   7               2   7   3   10   5   2
       + 32*a33 *m1 *m2 *n1  *n2 *r214 + 448*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   3   10   3   4               2   7   3   8   9
       - 608*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2 *r214

                2   7   3   8   7   2               2   7   3   8   5   4
       + 528*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   3   6   11               2   7   3   6   9   2
       - 96*a33 *m1 *m2 *n1 *n2  *r214 - 224*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   3   6   7   4              2   7   3   4   13
       + 736*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *r214

               2   7   3   4   11   2               2   7   3   4   9   4
       - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   2   13   5              2   7   2   13   3   2
       - 18*a33 *m1 *m2 *n1  *n2 *r216 + 58*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   13      4              2   7   2   11   7
       - 32*a33 *m1 *m2 *n1  *n2*n3 *r216 - 40*a33 *m1 *m2 *n1  *n2 *r216

               2   7   2   11   5   2              2   7   2   11   3   4
       + 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   9   9               2   7   2   9   7   2
       - 12*a33 *m1 *m2 *n1 *n2 *r216 - 132*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   7   2   9   5   4              2   7   2   7   11
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2  *r216

                2   7   2   7   9   2              2   7   2   7   7   4
       - 104*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   2   5   13             2   7   2   5   11   2
       + 14*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   2   5   9   4               2   6   4   13   4
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 104*a33 *m1 *m2 *n1  *n2 *r214

                2   6   4   13   2   2              2   6   4   13   4
       + 144*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n3 *r214

                2   6   4   11   6               2   6   4   11   4   2
       + 152*a33 *m1 *m2 *n1  *n2 *r214 - 848*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   4   11   2   4               2   6   4   9   8
       + 496*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 416*a33 *m1 *m2 *n1 *n2 *r214

                2   6   4   9   6   2                2   6   4   9   4   4
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 1136*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   4   7   10                2   6   4   7   8   2
       - 32*a33 *m1 *m2 *n1 *n2  *r214 + 1104*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   4   7   6   4               2   6   4   5   12
       - 576*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 184*a33 *m1 *m2 *n1 *n2  *r214

                2   6   4   5   10   2                2   6   4   5   8   4
       + 160*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1000*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   6   4   3   14              2   6   4   3   12   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   4   3   10   4              2   6   3   14   4
       - 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 30*a33 *m1 *m2 *n1  *n2 *r216

               2   6   3   14   2   2              2   6   3   14   4
       - 54*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n3 *r216

               2   6   3   12   6               2   6   3   12   4   2
       + 24*a33 *m1 *m2 *n1  *n2 *r216 + 136*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   3   12   2   4              2   6   3   10   8
       - 164*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 92*a33 *m1 *m2 *n1  *n2 *r216

                2   6   3   10   6   2             2   6   3   10   4   4
       + 356*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   3   8   10              2   6   3   8   8   2
       - 120*a33 *m1 *m2 *n1 *n2  *r216 + 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   3   8   6   4              2   6   3   6   12
       + 456*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 18*a33 *m1 *m2 *n1 *n2  *r216

                2   6   3   6   10   2               2   6   3   6   8   4
       - 158*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 172*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   3   4   14              2   6   3   4   12   2
       + 16*a33 *m1 *m2 *n1 *n2  *r216 - 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   3   4   10   4              2   5   5   14   3
       - 100*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 56*a33 *m1 *m2 *n1  *n2 *r214

               2   5   5   14      2               2   5   5   12   5
       - 36*a33 *m1 *m2 *n1  *n2*n3 *r214 - 288*a33 *m1 *m2 *n1  *n2 *r214

                2   5   5   12   3   2               2   5   5   12      4
       + 648*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1  *n2*n3 *r214

                2   5   5   10   7               2   5   5   10   5   2
       - 264*a33 *m1 *m2 *n1  *n2 *r214 - 924*a33 *m1 *m2 *n1  *n2 *n3 *r214

                 2   5   5   10   3   4               2   5   5   8   9
       + 1128*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 480*a33 *m1 *m2 *n1 *n2 *r214

                 2   5   5   8   7   2               2   5   5   8   5   4
       - 1488*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 768*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   5   6   11               2   5   5   6   9   2
       + 312*a33 *m1 *m2 *n1 *n2  *r214 + 540*a33 *m1 *m2 *n1 *n2 *n3 *r214

                 2   5   5   6   7   4              2   5   5   4   13
       - 1440*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 96*a33 *m1 *m2 *n1 *n2  *r214

                2   5   5   4   11   2               2   5   5   4   9   4
       + 408*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 624*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   5   2   15              2   5   5   2   13   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   5   2   11   4              2   5   4   15   3
       + 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 22*a33 *m1 *m2 *n1  *n2 *r216

               2   5   4   15      2              2   5   4   13   5
       + 18*a33 *m1 *m2 *n1  *n2*n3 *r216 + 48*a33 *m1 *m2 *n1  *n2 *r216

                2   5   4   13   3   2              2   5   4   13      4
       - 216*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 72*a33 *m1 *m2 *n1  *n2*n3 *r216

                2   5   4   11   7               2   5   4   11   5   2
       + 192*a33 *m1 *m2 *n1  *n2 *r216 - 132*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   4   11   3   4              2   5   4   9   9
       - 312*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 72*a33 *m1 *m2 *n1 *n2 *r216

                2   5   4   9   7   2               2   5   4   9   5   4
       + 536*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 400*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   7   11               2   5   4   7   9   2
       - 126*a33 *m1 *m2 *n1 *n2  *r216 + 474*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   7   7   4              2   5   4   5   13
       + 384*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2  *r216

                2   5   4   5   9   4             2   5   4   3   15
       + 360*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

               2   5   4   3   13   2              2   5   4   3   11   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   15   2               2   4   6   13   4
       - 12*a33 *m1 *m2 *n1  *n2 *r214 + 196*a33 *m1 *m2 *n1  *n2 *r214

                2   4   6   13   2   2               2   4   6   11   6
       - 180*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 132*a33 *m1 *m2 *n1  *n2 *r214

                 2   4   6   11   4   2
       + 1080*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   11   2   4               2   4   6   9   8
       - 360*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 660*a33 *m1 *m2 *n1 *n2 *r214

                2   4   6   9   6   2                2   4   6   9   4   4
       + 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 1280*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   6   7   10                2   4   6   7   8   2
       - 60*a33 *m1 *m2 *n1 *n2  *r214 - 1600*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   6   7   6   4               2   4   6   5   12
       + 320*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 276*a33 *m1 *m2 *n1 *n2  *r214

                2   4   6   5   10   2                2   4   6   5   8   4
       - 420*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 1248*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   6   3   14               2   4   6   3   12   2
       + 12*a33 *m1 *m2 *n1 *n2  *r214 + 200*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   6   3   10   4             2   4   6      16
       + 104*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   4   6      14   2              2   4   6      12   4
       + 20*a33 *m1 *m2 *n1*n2  *n3 *r214 + 32*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   4   5   16   2              2   4   5   14   4
       + 6*a33 *m1 *m2 *n1  *n2 *r216 - 68*a33 *m1 *m2 *n1  *n2 *r216

               2   4   5   14   2   2              2   4   5   12   6
       + 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 84*a33 *m1 *m2 *n1  *n2 *r216

                2   4   5   12   4   2               2   4   5   12   2   4
       - 270*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   10   8               2   4   5   10   6   2
       + 180*a33 *m1 *m2 *n1  *n2 *r216 - 670*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   10   4   4               2   4   5   8   10
       - 220*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 270*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   8   6   4              2   4   5   6   12
       - 720*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 36*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   6   10   2              2   4   5   6   8   4
       + 474*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   5   4   14               2   4   5   4   12   2
       - 48*a33 *m1 *m2 *n1 *n2  *r216 + 158*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   5   4   10   4             2   4   5   2   16
       + 284*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

              2   4   5   2   14   2              2   4   5   2   12   4
       - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   14   3               2   3   7   12   5
       - 48*a33 *m1 *m2 *n1  *n2 *r214 + 224*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   12   3   2               2   3   7   10   7
       - 360*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 272*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   10   5   2               2   3   7   10   3   4
       + 720*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 480*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   7   8   9                2   3   7   8   7   2
       - 320*a33 *m1 *m2 *n1 *n2 *r214 + 1160*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   7   8   5   4               2   3   7   6   11
       + 680*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 304*a33 *m1 *m2 *n1 *n2  *r214

                2   3   7   6   9   2               2   3   7   6   7   4
       - 352*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 800*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   7   4   13               2   3   7   4   11   2
       + 32*a33 *m1 *m2 *n1 *n2  *r214 - 456*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   7   4   9   4              2   3   7   2   15
       - 432*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

               2   3   7   2   13   2              2   3   7   2   11   4
       - 16*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   7   15   2             2   3   7   13   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

               2   3   6   15   3              2   3   6   13   5
       + 24*a33 *m1 *m2 *n1  *n2 *r216 - 52*a33 *m1 *m2 *n1  *n2 *r216

                2   3   6   13   3   2               2   3   6   11   7
       + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 216*a33 *m1 *m2 *n1  *n2 *r216

                2   3   6   11   3   4              2   3   6   9   9
       + 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 90*a33 *m1 *m2 *n1 *n2 *r216

                2   3   6   9   7   2              2   3   6   9   5   4
       - 670*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   7   11               2   3   6   7   9   2
       + 144*a33 *m1 *m2 *n1 *n2  *r216 - 536*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   7   7   4              2   3   6   5   13
       - 512*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1 *n2  *r216

               2   3   6   5   11   2               2   3   6   5   9   4
       + 48*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 288*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   3   13   2              2   3   6   3   11   4
       + 104*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   6      17              2   3   6      15   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   6      13   4              2   2   8   13   4
       + 16*a33 *m1 *m2 *n1*n2  *n3 *r216 - 72*a33 *m1 *m2 *n1  *n2 *r214

               2   2   8   11   6               2   2   8   11   4   2
       + 56*a33 *m1 *m2 *n1  *n2 *r214 - 360*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   8   9   8               2   2   8   9   4   4
       + 288*a33 *m1 *m2 *n1 *n2 *r214 - 360*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   8   7   10               2   2   8   7   8   2
       + 96*a33 *m1 *m2 *n1 *n2  *r214 + 696*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   8   7   6   4              2   2   8   5   12
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   5   10   2               2   2   8   5   8   4
       + 288*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 432*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   8   3   14              2   2   8   3   12   2
       - 24*a33 *m1 *m2 *n1 *n2  *r214 - 72*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   8      14   2              2   2   8      12   4
       - 24*a33 *m1 *m2 *n1*n2  *n3 *r214 - 24*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   2   7   14   4              2   2   7   12   6
       + 36*a33 *m1 *m2 *n1  *n2 *r216 + 32*a33 *m1 *m2 *n1  *n2 *r216

                2   2   7   12   4   2               2   2   7   10   8
       + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 114*a33 *m1 *m2 *n1  *n2 *r216

                2   2   7   10   6   2               2   2   7   10   4   4
       + 270*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   2   7   8   10               2   2   7   8   8   2
       - 168*a33 *m1 *m2 *n1 *n2  *r216 - 132*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   7   8   6   4              2   2   7   6   12
       + 228*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2  *r216

                2   2   7   6   10   2               2   2   7   6   8   4
       - 356*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   7   4   14               2   2   7   4   12   2
       + 24*a33 *m1 *m2 *n1 *n2  *r216 - 132*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   2   7   4   10   4             2   2   7   2   16
       - 168*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

              2   2   7   2   14   2              2   2   7   2   12   4
       + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   7   16   2             2   2   7   14   4
       + 4*a33 *m1 *m2 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

               2      9   12   5              2      9   10   7
       - 48*a33 *m1*m2 *n1  *n2 *r214 - 56*a33 *m1*m2 *n1  *n2 *r214

                2      9   10   5   2              2      9   8   9
       - 180*a33 *m1*m2 *n1  *n2 *n3 *r214 + 48*a33 *m1*m2 *n1 *n2 *r214

                2      9   8   7   2               2      9   8   5   4
       - 216*a33 *m1*m2 *n1 *n2 *n3 *r214 - 144*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      9   6   11              2      9   6   9   2
       + 72*a33 *m1*m2 *n1 *n2  *r214 + 52*a33 *m1*m2 *n1 *n2 *n3 *r214

                2      9   6   7   4              2      9   4   13
       - 104*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2  *r214

                2      9   4   11   2              2      9   4   9   4
       + 112*a33 *m1*m2 *n1 *n2  *n3 *r214 + 64*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      9   2   13   2              2      9   2   11   4
       + 24*a33 *m1*m2 *n1 *n2  *n3 *r214 + 24*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   13   5              2      8   11   7
       + 24*a33 *m1*m2 *n1  *n2 *r216 + 58*a33 *m1*m2 *n1  *n2 *r216

               2      8   11   5   2              2      8   9   9
       + 90*a33 *m1*m2 *n1  *n2 *n3 *r216 + 24*a33 *m1*m2 *n1 *n2 *r216

                2      8   9   7   2              2      8   9   5   4
       + 216*a33 *m1*m2 *n1 *n2 *n3 *r216 + 72*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      8   7   11               2      8   7   9   2
       - 36*a33 *m1*m2 *n1 *n2  *r216 + 136*a33 *m1*m2 *n1 *n2 *n3 *r216

                2      8   7   7   4              2      8   5   13
       + 136*a33 *m1*m2 *n1 *n2 *n3 *r216 - 32*a33 *m1*m2 *n1 *n2  *r216

               2      8   5   11   2              2      8   5   9   4
       - 24*a33 *m1*m2 *n1 *n2  *n3 *r216 + 48*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      8   3   15              2      8   3   13   2
       - 6*a33 *m1*m2 *n1 *n2  *r216 - 42*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   3   11   4             2      8      15   2
       - 24*a33 *m1*m2 *n1 *n2  *n3 *r216 - 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2      8      13   4              2   10   11   6
       - 8*a33 *m1*m2 *n1*n2  *n3 *r216 - 12*a33 *m2  *n1  *n2 *r214

               2   10   9   8              2   10   9   6   2
       - 28*a33 *m2  *n1 *n2 *r214 - 36*a33 *m2  *n1 *n2 *n3 *r214

               2   10   7   10              2   10   7   8   2
       - 20*a33 *m2  *n1 *n2  *r214 - 72*a33 *m2  *n1 *n2 *n3 *r214

               2   10   7   6   4             2   10   5   12
       - 24*a33 *m2  *n1 *n2 *n3 *r214 - 4*a33 *m2  *n1 *n2  *r214

               2   10   5   10   2              2   10   5   8   4
       - 44*a33 *m2  *n1 *n2  *n3 *r214 - 32*a33 *m2  *n1 *n2 *n3 *r214

              2   10   3   12   2             2   10   3   10   4
       - 8*a33 *m2  *n1 *n2  *n3 *r214 - 8*a33 *m2  *n1 *n2  *n3 *r214

              2   9   12   6              2   9   10   8
       + 6*a33 *m2 *n1  *n2 *r216 + 20*a33 *m2 *n1  *n2 *r216

               2   9   10   6   2              2   9   8   10
       + 18*a33 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m2 *n1 *n2  *r216

               2   9   8   8   2              2   9   8   6   4
       + 54*a33 *m2 *n1 *n2 *n3 *r216 + 12*a33 *m2 *n1 *n2 *n3 *r216

               2   9   6   12              2   9   6   10   2
       + 12*a33 *m2 *n1 *n2  *r216 + 58*a33 *m2 *n1 *n2  *n3 *r216

               2   9   6   8   4             2   9   4   14
       + 28*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   9   4   12   2              2   9   4   10   4
       + 26*a33 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m2 *n1 *n2  *n3 *r216

              2   9   2   14   2             2   9   2   12   4
       + 4*a33 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2  *n3 *r216

             9   13   5   2            9   13   3   4
       - 4*m1 *n1  *n2 *n3 *r496 + 8*m1 *n1  *n2 *n3 *r496

             9   11   7   2            9   11   5   4
       - 2*m1 *n1  *n2 *n3 *r496 + 4*m1 *n1  *n2 *n3 *r496

             9   9   9   2             9   9   7   4
       + 8*m1 *n1 *n2 *n3 *r496 - 16*m1 *n1 *n2 *n3 *r496

             9   7   11   2             9   7   9   4
       + 6*m1 *n1 *n2  *n3 *r496 - 12*m1 *n1 *n2 *n3 *r496

             8      14   6             8      14   4   2
       - 4*m1 *m2*n1  *n2 *r496 + 22*m1 *m2*n1  *n2 *n3 *r496

              8      14   2   4            8      12   8
       - 20*m1 *m2*n1  *n2 *n3 *r496 - 6*m1 *m2*n1  *n2 *r496

             8      12   6   2             8      12   4   4
       - 3*m1 *m2*n1  *n2 *n3 *r496 + 42*m1 *m2*n1  *n2 *n3 *r496

             8      10   10             8      10   8   2
       + 6*m1 *m2*n1  *n2  *r496 - 51*m1 *m2*n1  *n2 *n3 *r496

              8      10   6   4             8      8   12
       + 66*m1 *m2*n1  *n2 *n3 *r496 + 14*m1 *m2*n1 *n2  *r496

             8      8   10   2             8      8   8   4
       - 5*m1 *m2*n1 *n2  *n3 *r496 - 74*m1 *m2*n1 *n2 *n3 *r496

             8      6   14             8      6   12   2
       + 6*m1 *m2*n1 *n2  *r496 + 21*m1 *m2*n1 *n2  *n3 *r496

              8      6   10   4             7   2   15   5
       - 78*m1 *m2*n1 *n2  *n3 *r496 + 14*m1 *m2 *n1  *n2 *r496

              7   2   15   3   2             7   2   15      4
       - 39*m1 *m2 *n1  *n2 *n3 *r496 + 18*m1 *m2 *n1  *n2*n3 *r496

             7   2   13   7             7   2   13   5   2
       + 3*m1 *m2 *n1  *n2 *r496 + 77*m1 *m2 *n1  *n2 *n3 *r496

               7   2   13   3   4             7   2   11   9
       - 112*m1 *m2 *n1  *n2 *n3 *r496 - 48*m1 *m2 *n1  *n2 *r496

               7   2   11   7   2             7   2   11   5   4
       + 114*m1 *m2 *n1  *n2 *n3 *r496 + 60*m1 *m2 *n1  *n2 *n3 *r496

              7   2   9   11              7   2   9   9   2
       - 22*m1 *m2 *n1 *n2  *r496 - 150*m1 *m2 *n1 *n2 *n3 *r496

               7   2   9   7   4             7   2   7   13
       + 312*m1 *m2 *n1 *n2 *n3 *r496 + 42*m1 *m2 *n1 *n2  *r496

               7   2   7   11   2             7   2   7   9   4
       - 139*m1 *m2 *n1 *n2  *n3 *r496 - 94*m1 *m2 *n1 *n2 *n3 *r496

              7   2   5   15            7   2   5   13   2
       + 27*m1 *m2 *n1 *n2  *r496 + 9*m1 *m2 *n1 *n2  *n3 *r496

               7   2   5   11   4             6   3   16   4
       - 216*m1 *m2 *n1 *n2  *n3 *r496 - 19*m1 *m2 *n1  *n2 *r496

              6   3   16   2   2            6   3   16   4
       + 30*m1 *m2 *n1  *n2 *n3 *r496 - 6*m1 *m2 *n1  *n3 *r496

              6   3   14   6              6   3   14   4   2
       + 30*m1 *m2 *n1  *n2 *r496 - 162*m1 *m2 *n1  *n2 *n3 *r496

               6   3   14   2   4             6   3   12   8
       + 102*m1 *m2 *n1  *n2 *n3 *r496 + 78*m1 *m2 *n1  *n2 *r496

              6   3   12   6   2              6   3   12   4   4
       + 28*m1 *m2 *n1  *n2 *n3 *r496 - 254*m1 *m2 *n1  *n2 *n3 *r496

              6   3   10   10              6   3   10   8   2
       - 88*m1 *m2 *n1  *n2  *r496 + 456*m1 *m2 *n1  *n2 *n3 *r496

              6   3   10   6   4              6   3   8   12
       - 84*m1 *m2 *n1  *n2 *n3 *r496 - 147*m1 *m2 *n1 *n2  *r496

              6   3   8   10   2              6   3   8   8   4
       - 30*m1 *m2 *n1 *n2  *n3 *r496 + 702*m1 *m2 *n1 *n2 *n3 *r496

              6   3   6   14              6   3   6   12   2
       + 18*m1 *m2 *n1 *n2  *r496 - 326*m1 *m2 *n1 *n2  *n3 *r496

              6   3   6   10   4             6   3   4   16
       + 94*m1 *m2 *n1 *n2  *n3 *r496 + 48*m1 *m2 *n1 *n2  *r496

              6   3   4   14   2              6   3   4   12   4
       - 60*m1 *m2 *n1 *n2  *n3 *r496 - 330*m1 *m2 *n1 *n2  *n3 *r496

              5   4   17   3            5   4   17      2
       + 12*m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2*n3 *r496

              5   4   15   5              5   4   15   3   2
       - 57*m1 *m2 *n1  *n2 *r496 + 135*m1 *m2 *n1  *n2 *n3 *r496

              5   4   15      4             5   4   13   7
       - 36*m1 *m2 *n1  *n2*n3 *r496 - 24*m1 *m2 *n1  *n2 *r496

               5   4   13   5   2              5   4   13   3   4
       - 234*m1 *m2 *n1  *n2 *n3 *r496 + 234*m1 *m2 *n1  *n2 *n3 *r496

               5   4   11   9              5   4   11   7   2
       + 196*m1 *m2 *n1  *n2 *r496 - 262*m1 *m2 *n1  *n2 *n3 *r496

               5   4   11   5   4             5   4   9   11
       - 292*m1 *m2 *n1  *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2  *r496

               5   4   9   9   2              5   4   9   7   4
       + 723*m1 *m2 *n1 *n2 *n3 *r496 - 420*m1 *m2 *n1 *n2 *n3 *r496

               5   4   7   13              5   4   7   11   2
       - 237*m1 *m2 *n1 *n2  *r496 + 447*m1 *m2 *n1 *n2  *n3 *r496

               5   4   7   9   4             5   4   5   15
       + 852*m1 *m2 *n1 *n2 *n3 *r496 - 68*m1 *m2 *n1 *n2  *r496

               5   4   5   13   2              5   4   5   11   4
       - 280*m1 *m2 *n1 *n2  *n3 *r496 + 410*m1 *m2 *n1 *n2  *n3 *r496

              5   4   3   17              5   4   3   15   2
       + 42*m1 *m2 *n1 *n2  *r496 - 120*m1 *m2 *n1 *n2  *n3 *r496

               5   4   3   13   4            4   5   18   2
       - 300*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1  *n2 *r496

              4   5   16   4             4   5   16   2   2
       + 42*m1 *m2 *n1  *n2 *r496 - 45*m1 *m2 *n1  *n2 *n3 *r496

              4   5   14   6              4   5   14   4   2
       - 42*m1 *m2 *n1  *n2 *r496 + 225*m1 *m2 *n1  *n2 *n3 *r496

              4   5   14   2   4              4   5   12   8
       - 90*m1 *m2 *n1  *n2 *n3 *r496 - 122*m1 *m2 *n1  *n2 *r496

               4   5   12   6   2              4   5   12   4   4
       - 105*m1 *m2 *n1  *n2 *n3 *r496 + 270*m1 *m2 *n1  *n2 *n3 *r496

               4   5   10   10              4   5   10   8   2
       + 195*m1 *m2 *n1  *n2  *r496 - 575*m1 *m2 *n1  *n2 *n3 *r496

               4   5   10   6   4              4   5   8   12
       - 170*m1 *m2 *n1  *n2 *n3 *r496 + 222*m1 *m2 *n1 *n2  *r496

               4   5   8   10   2              4   5   8   8   4
       + 471*m1 *m2 *n1 *n2  *n3 *r496 - 672*m1 *m2 *n1 *n2 *n3 *r496

               4   5   6   14              4   5   6   12   2
       - 128*m1 *m2 *n1 *n2  *r496 + 753*m1 *m2 *n1 *n2  *n3 *r496

               4   5   6   10   4              4   5   4   16
       + 534*m1 *m2 *n1 *n2  *n3 *r496 - 102*m1 *m2 *n1 *n2  *r496

              4   5   4   14   2              4   5   4   12   4
       - 17*m1 *m2 *n1 *n2  *n3 *r496 + 514*m1 *m2 *n1 *n2  *n3 *r496

              4   5   2   18             4   5   2   16   2
       + 18*m1 *m2 *n1 *n2  *r496 - 99*m1 *m2 *n1 *n2  *n3 *r496

               4   5   2   14   4             3   6   17   3
       - 162*m1 *m2 *n1 *n2  *n3 *r496 - 12*m1 *m2 *n1  *n2 *r496

              3   6   15   5             3   6   15   3   2
       + 48*m1 *m2 *n1  *n2 *r496 - 90*m1 *m2 *n1  *n2 *n3 *r496

              3   6   13   7              3   6   13   5   2
       + 22*m1 *m2 *n1  *n2 *r496 + 150*m1 *m2 *n1  *n2 *n3 *r496

               3   6   13   3   4              3   6   11   9
       - 120*m1 *m2 *n1  *n2 *n3 *r496 - 138*m1 *m2 *n1  *n2 *r496

              3   6   11   7   2              3   6   11   5   4
       + 45*m1 *m2 *n1  *n2 *n3 *r496 + 150*m1 *m2 *n1  *n2 *n3 *r496

              3   6   9   11              3   6   9   9   2
       + 51*m1 *m2 *n1 *n2  *r496 - 583*m1 *m2 *n1 *n2 *n3 *r496

              3   6   9   7   4              3   6   7   13
       - 40*m1 *m2 *n1 *n2 *n3 *r496 + 232*m1 *m2 *n1 *n2  *r496

              3   6   7   11   2              3   6   7   9   4
       - 48*m1 *m2 *n1 *n2  *n3 *r496 - 588*m1 *m2 *n1 *n2 *n3 *r496

              3   6   5   15              3   6   5   13   2
       + 24*m1 *m2 *n1 *n2  *r496 + 504*m1 *m2 *n1 *n2  *n3 *r496

              3   6   5   11   4             3   6   3   17
       + 96*m1 *m2 *n1 *n2  *n3 *r496 - 54*m1 *m2 *n1 *n2  *r496

               3   6   3   15   2              3   6   3   13   4
       + 125*m1 *m2 *n1 *n2  *n3 *r496 + 326*m1 *m2 *n1 *n2  *n3 *r496

             3   6      19             3   6      17   2
       + 3*m1 *m2 *n1*n2  *r496 - 39*m1 *m2 *n1*n2  *n3 *r496

              3   6      15   4             2   7   16   4
       - 48*m1 *m2 *n1*n2  *n3 *r496 - 18*m1 *m2 *n1  *n2 *r496

              2   7   14   6             2   7   14   4   2
       + 12*m1 *m2 *n1  *n2 *r496 - 90*m1 *m2 *n1  *n2 *n3 *r496

              2   7   12   8             2   7   12   4   4
       + 33*m1 *m2 *n1  *n2 *r496 - 90*m1 *m2 *n1  *n2 *n3 *r496

              2   7   10   10             2   7   10   8   2
       - 78*m1 *m2 *n1  *n2  *r496 + 36*m1 *m2 *n1  *n2 *n3 *r496

              2   7   10   6   4             2   7   8   12
       + 18*m1 *m2 *n1  *n2 *n3 *r496 - 52*m1 *m2 *n1 *n2  *r496

               2   7   8   10   2            2   7   8   8   4
       - 338*m1 *m2 *n1 *n2  *n3 *r496 - 2*m1 *m2 *n1 *n2 *n3 *r496

              2   7   6   14              2   7   6   12   2
       + 84*m1 *m2 *n1 *n2  *r496 - 246*m1 *m2 *n1 *n2  *n3 *r496

               2   7   6   10   4             2   7   4   16
       - 300*m1 *m2 *n1 *n2  *n3 *r496 + 45*m1 *m2 *n1 *n2  *r496

               2   7   4   14   2             2   7   4   12   4
       + 120*m1 *m2 *n1 *n2  *n3 *r496 - 78*m1 *m2 *n1 *n2  *n3 *r496

              2   7   2   18             2   7   2   16   2
       - 10*m1 *m2 *n1 *n2  *r496 + 76*m1 *m2 *n1 *n2  *n3 *r496

               2   7   2   14   4            2   7   18   2
       + 106*m1 *m2 *n1 *n2  *n3 *r496 - 6*m1 *m2 *n2  *n3 *r496

             2   7   16   4                8   15   5
       - 6*m1 *m2 *n2  *n3 *r496 - 12*m1*m2 *n1  *n2 *r496

                 8   13   7                8   13   5   2
       - 12*m1*m2 *n1  *n2 *r496 - 45*m1*m2 *n1  *n2 *n3 *r496

                8   11   9                8   11   7   2
       + 3*m1*m2 *n1  *n2 *r496 - 45*m1*m2 *n1  *n2 *n3 *r496

                 8   11   5   4                8   9   11
       - 36*m1*m2 *n1  *n2 *n3 *r496 - 28*m1*m2 *n1 *n2  *r496

                 8   9   9   2                8   9   7   4
       - 12*m1*m2 *n1 *n2 *n3 *r496 - 18*m1*m2 *n1 *n2 *n3 *r496

                 8   7   13                 8   7   11   2
       - 42*m1*m2 *n1 *n2  *r496 - 112*m1*m2 *n1 *n2  *n3 *r496

                8   7   9   4                 8   5   13   2
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 129*m1*m2 *n1 *n2  *n3 *r496

                 8   5   11   4                8   3   17
       - 84*m1*m2 *n1 *n2  *n3 *r496 + 11*m1*m2 *n1 *n2  *r496

                 8   3   15   2                8   3   13   4
       - 15*m1*m2 *n1 *n2  *n3 *r496 - 48*m1*m2 *n1 *n2  *n3 *r496

                 8      17   2                8      15   4
       + 14*m1*m2 *n1*n2  *n3 *r496 + 14*m1*m2 *n1*n2  *n3 *r496

             9   14   6            9   12   8            9   12   6   2
       - 3*m2 *n1  *n2 *r496 - 6*m2 *n1  *n2 *r496 - 9*m2 *n1  *n2 *n3 *r496

             9   10   10             9   10   8   2
       - 4*m2 *n1  *n2  *r496 - 15*m2 *n1  *n2 *n3 *r496

             9   10   6   4            9   8   12            9   8   10   2
       - 6*m2 *n1  *n2 *n3 *r496 - 6*m2 *n1 *n2  *r496 - 9*m2 *n1 *n2  *n3 *r496

             9   8   8   4            9   6   14             9   6   12   2
       - 6*m2 *n1 *n2 *n3 *r496 - 9*m2 *n1 *n2  *r496 - 17*m2 *n1 *n2  *n3 *r496

             9   6   10   4            9   4   16
       - 2*m2 *n1 *n2  *n3 *r496 - 4*m2 *n1 *n2  *r496

              9   4   14   2             9   4   12   4
       - 22*m2 *n1 *n2  *n3 *r496 - 10*m2 *n1 *n2  *n3 *r496

             9   2   16   2            9   2   14   4
       - 8*m2 *n1 *n2  *n3 *r496 - 8*m2 *n1 *n2  *n3 *r496)/(

           9   12   5   2           9   12   3   4           9   10   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 4*a33*m1 *n1  *n2 *n3

              9   10   5   4           9   8   9   2           9   8   7   4
    - 8*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              9   6   11   2           9   6   9   4           8      13   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1  *n2

               8      13   4   2            8      13   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

              8      11   8            8      11   6   2
    + 8*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

               8      11   4   4            8      9   8   2
    - 24*a33*m1 *m2*n1  *n2 *n3  + 36*a33*m1 *m2*n1 *n2 *n3

               8      9   6   4           8      7   12
    - 72*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               8      7   10   2            8      7   8   4
    + 12*a33*m1 *m2*n1 *n2  *n3  + 24*a33*m1 *m2*n1 *n2 *n3

              8      5   14            8      5   12   2
    - 4*a33*m1 *m2*n1 *n2   - 12*a33*m1 *m2*n1 *n2  *n3

               8      5   10   4            7   2   14   5
    + 48*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   14   3   2            7   2   14      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               7   2   12   7            7   2   12   5   2
    - 16*a33*m1 *m2 *n1  *n2  - 48*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   3   4            7   2   10   9
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 32*a33*m1 *m2 *n1  *n2

                7   2   10   7   2            7   2   10   5   4
    - 144*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   8   11            7   2   8   9   2
    + 32*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2 *n3

                7   2   8   7   4            7   2   6   13
    - 240*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

               7   2   6   11   2            7   2   6   9   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2 *n3

               7   2   4   15             7   2   4   11   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   15   4            6   3   15   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   15   4            6   3   13   6
    + 8*a33*m1 *m2 *n1  *n3  - 16*a33*m1 *m2 *n1  *n2

                6   3   13   4   2             6   3   13   2   4
    + 176*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   8             6   3   11   6   2
    - 104*a33*m1 *m2 *n1  *n2  + 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   4   4             6   3   9   8   2
    + 208*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                6   3   9   6   4             6   3   7   12
    + 336*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

                6   3   7   10   2             6   3   7   8   4
    - 136*a33*m1 *m2 *n1 *n2  *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               6   3   5   14             6   3   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 160*a33*m1 *m2 *n1 *n2  *n3

                6   3   5   10   4            6   3   3   16
    - 200*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   14   2             6   3   3   12   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   16   3            5   4   16      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   14   5             5   4   14   3   2
    + 64*a33*m1 *m2 *n1  *n2  - 180*a33*m1 *m2 *n1  *n2 *n3

               5   4   14      4            5   4   12   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 96*a33*m1 *m2 *n1  *n2

                5   4   12   5   2             5   4   12   3   4
    + 156*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1  *n2 *n3

                5   4   10   9             5   4   10   7   2
    - 144*a33*m1 *m2 *n1  *n2  + 540*a33*m1 *m2 *n1  *n2 *n3

               5   4   10   5   4             5   4   8   11
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1 *n2

                5   4   8   9   2             5   4   8   7   4
    - 228*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

               5   4   6   13             5   4   6   11   2
    + 96*a33*m1 *m2 *n1 *n2   - 420*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   9   4            5   4   4   15
    - 240*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2

               5   4   4   13   2             5   4   4   11   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  - 360*a33*m1 *m2 *n1 *n2  *n3

               5   4   2   17            5   4   2   15   2
    - 16*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   2   13   4           4   5   17   2
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1  *n2

               4   5   15   4            4   5   15   2   2
    - 56*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               4   5   13   6             4   5   13   4   2
    + 16*a33*m1 *m2 *n1  *n2  - 300*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   2   4             4   5   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 216*a33*m1 *m2 *n1  *n2

                4   5   11   6   2             4   5   11   4   4
    - 180*a33*m1 *m2 *n1  *n2 *n3  - 360*a33*m1 *m2 *n1  *n2 *n3

                4   5   9   8   2             4   5   9   6   4
    + 660*a33*m1 *m2 *n1 *n2 *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

                4   5   7   12             4   5   7   10   2
    - 216*a33*m1 *m2 *n1 *n2   + 204*a33*m1 *m2 *n1 *n2  *n3

                4   5   7   8   4            4   5   5   14
    + 672*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                4   5   5   12   2            4   5   5   10   4
    - 396*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

               4   5   3   16            4   5   3   14   2
    + 56*a33*m1 *m2 *n1 *n2   - 84*a33*m1 *m2 *n1 *n2  *n3

                4   5   3   12   4           4   5      18
    - 312*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2

               4   5      16   2            4   5      14   4
    + 36*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

               3   6   16   3            3   6   14   5
    + 16*a33*m1 *m2 *n1  *n2  - 64*a33*m1 *m2 *n1  *n2

                3   6   14   3   2            3   6   12   7
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 96*a33*m1 *m2 *n1  *n2

                3   6   12   5   2             3   6   12   3   4
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   9             3   6   10   7   2
    + 144*a33*m1 *m2 *n1  *n2  - 440*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   5   4             3   6   8   11
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1 *n2

                3   6   8   9   2             3   6   8   7   4
    + 296*a33*m1 *m2 *n1 *n2 *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               3   6   6   13             3   6   6   11   2
    - 96*a33*m1 *m2 *n1 *n2   + 408*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   9   4            3   6   4   15
    + 336*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2

                3   6   4   13   2             3   6   4   11   4
    - 104*a33*m1 *m2 *n1 *n2  *n3  + 208*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   17            3   6   2   15   2
    + 16*a33*m1 *m2 *n1 *n2   - 88*a33*m1 *m2 *n1 *n2  *n3

                3   6   2   13   4           3   6   17   2
    - 136*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   15   4            2   7   15   4            2   7   13   6
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2

                2   7   13   4   2             2   7   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                2   7   11   4   4             2   7   9   8   2
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1 *n2 *n3

               2   7   9   6   4             2   7   7   12
    - 24*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

               2   7   7   10   2             2   7   7   8   4
    - 48*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

               2   7   5   14             2   7   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 216*a33*m1 *m2 *n1 *n2  *n3

               2   7   5   10   4            2   7   3   16
    + 48*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   7   3   14   2             2   7   3   12   4
    + 48*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

               2   7      16   2            2   7      14   4
    - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  8   14   5               8   12   7
    + 16*a33*m1*m2 *n1  *n2  + 16*a33*m1*m2 *n1  *n2

                  8   12   5   2               8   10   9
    + 60*a33*m1*m2 *n1  *n2 *n3  - 32*a33*m1*m2 *n1  *n2

                  8   10   7   2               8   10   5   4
    + 60*a33*m1*m2 *n1  *n2 *n3  + 48*a33*m1*m2 *n1  *n2 *n3

                  8   8   11               8   8   9   2
    - 32*a33*m1*m2 *n1 *n2   - 84*a33*m1*m2 *n1 *n2 *n3

                  8   8   7   4               8   6   13
    + 24*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2

                  8   6   11   2               8   6   9   4
    - 84*a33*m1*m2 *n1 *n2  *n3  - 72*a33*m1*m2 *n1 *n2 *n3

                  8   4   15               8   4   13   2
    + 16*a33*m1*m2 *n1 *n2   + 24*a33*m1*m2 *n1 *n2  *n3

                  8   4   11   4               8   2   15   2
    - 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                  8   2   13   4           9   13   6           9   11   8
    + 24*a33*m1*m2 *n1 *n2  *n3  + 4*a33*m2 *n1  *n2  + 8*a33*m2 *n1  *n2

               9   11   6   2            9   9   8   2           9   9   6   4
    + 12*a33*m2 *n1  *n2 *n3  + 20*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3

              9   7   12           9   7   10   2           9   7   8   4
    - 8*a33*m2 *n1 *n2   - 4*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3

              9   5   14            9   5   12   2           9   5   10   4
    - 4*a33*m2 *n1 *n2   - 20*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   14   2           9   3   12   4
    - 8*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3 )


r348=0


           2   6   7   4   2             2   6   7   2   4
r349=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   5   6   2             2   6   5   4   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      8   5              2   5      8   3   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      8      4             2   5      6   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      6   5   2              2   5      6   3   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   9             2   5      4   7   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      4   5   4             2   5   9   3   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   9      4             2   5   7   5   2
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   7   3   4             2   5   5   7   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   5   5   4              2   4   2   9   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   9   2   2             2   4   2   9   4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   7   6              2   4   2   7   4   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   7   2   4             2   4   2   5   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   5   6   2              2   4   2   5   4   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   3   10              2   4   2   3   8   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   6   4             2   4      10   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1  *n2 *r216

              2   4      10   2   2             2   4      10   4
       - 8*a33 *m1 *m2*n1  *n2 *n3 *r216 + 4*a33 *m1 *m2*n1  *n3 *r216

              2   4      8   6              2   4      8   4   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      8   2   4             2   4      6   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      6   6   2              2   4      6   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   10             2   4      4   8   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      4   6   4              2   3   3   10   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2 *r214

               2   3   3   10      2              2   3   3   8   3   2
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   8      4              2   3   3   6   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   6   5   2              2   3   3   6   3   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   9              2   3   3   4   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   5   4             2   3   3   2   11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *r214

               2   3   3   2   9   2              2   3   3   2   7   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   2   11   3             2   3   2   11      2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   9   5             2   3   2   9   3   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   9      4              2   3   2   7   5   2
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   7   3   4             2   3   2   5   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   5   7   2              2   3   2   5   5   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   11             2   3   2   3   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   3   7   4             2   2   4   11   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   9   4              2   2   4   9   2   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   6              2   2   4   7   4   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   2   4              2   2   4   5   6   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   5   4   4              2   2   4   3   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   3   8   2              2   2   4   3   6   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4      10   2             2   2   4      8   4
       - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   3   12   2             2   2   3   10   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1  *n2 *r216

               2   2   3   10   2   2              2   2   3   8   6
       + 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   8   4   2              2   2   3   8   2   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   8              2   2   3   6   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   4   4             2   2   3   4   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   4   8   2             2   2   3   4   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   2   12              2   2   3   2   10   2
       + 2*a33 *m1 *m2 *n1 *n2  *r216 - 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   3   2   8   4             2      5   10   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1  *n2 *r214

              2      5   8   5              2      5   8   3   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   7              2      5   6   5   2
       + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   3   4              2      5   4   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *r214

               2      5   4   7   2              2      5   4   5   4
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   2   9   2              2      5   2   7   4
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      4   11   3             2      4   9   5
       + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   9   3   2              2      4   7   5   2
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   7   3   4             2      4   5   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   5   7   2              2      4   5   5   4
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   11             2      4   3   9   2
       - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   7   4             2      4      11   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1*n2  *n3 *r216

              2      4      9   4             2   6   9   4
       - 4*a33 *m1*m2 *n1*n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

              2   6   7   6              2   6   7   4   2
       - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   8              2   6   5   6   2
       - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   4   4             2   6   3   8   2
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   3   6   4             2   5   10   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1  *n2 *r216

              2   5   8   6             2   5   8   4   2
       + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   8              2   5   6   6   2
       + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   4   4             2   5   4   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   5   4   8   2             2   5   4   6   4
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5   2   10   2             2   5   2   8   4
       + 4*a33 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

           5   9   5   2            5   9   3   4            5   7   7   2
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   7   5   4          5   5   9   2            5   5   7   4
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      12   2   2            4      12   4
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

           4      10   6          4      10   4   2
       + m1 *m2*n1  *n2 *r496 - m1 *m2*n1  *n2 *n3 *r496

             4      10   2   4            4      8   8
       - 4*m1 *m2*n1  *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

             4      8   6   2             4      8   4   4
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      6   10          4      6   8   2
       + 3*m1 *m2*n1 *n2  *r496 - m1 *m2*n1 *n2 *n3 *r496

              4      6   6   4          4      4   12
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           4      4   10   2            4      4   8   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   13   3            3   2   13      2
       + m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   11   5            3   2   11   3   2
       + 2*m1 *m2 *n1  *n2 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   11      4            3   2   9   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1 *n2 *r496

              3   2   9   5   2             3   2   9   3   4
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   7   9             3   2   7   7   2
       + 4*m1 *m2 *n1 *n2 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   7   5   4            3   2   5   11
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *r496

              3   2   5   9   2             3   2   5   7   4
       - 15*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   3   13            3   2   3   11   2
       + 2*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   3   9   4          2   3   14   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *r496

           2   3   12   4            2   3   12   2   2
       - m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   10   6             2   3   10   4   2
       + m1 *m2 *n1  *n2 *r496 - 21*m1 *m2 *n1  *n2 *n3 *r496

              2   3   10   2   4             2   3   8   6   2
       - 12*m1 *m2 *n1  *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   8   4   4          2   3   6   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

              2   3   6   8   2             2   3   6   6   4
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   4   12             2   3   4   10   2
       + m1 *m2 *n1 *n2  *r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   4   8   4          2   3   2   14
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

             2   3   2   12   2            2   3   2   10   4
       - 5*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

                4   13   3               4   11   5
       - 2*m1*m2 *n1  *n2 *r496 - 5*m1*m2 *n1  *n2 *r496

                4   11   3   2               4   9   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *r496

                 4   9   5   2               4   9   3   4
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   7   9                4   7   7   2
       - 2*m1*m2 *n1 *n2 *r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   7   5   4               4   5   11
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *r496

                 4   5   9   2                4   5   7   4
       - 13*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   3   13               4   3   11   2
       - m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   3   9   4               4      13   2
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1*n2  *n3 *r496

                4      11   4          5   12   4            5   10   6
       - 2*m1*m2 *n1*n2  *n3 *r496 - m2 *n1  *n2 *r496 - 3*m2 *n1  *n2 *r496

             5   10   4   2            5   8   8            5   8   6   2
       - 3*m2 *n1  *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 - 8*m2 *n1 *n2 *n3 *r496

             5   8   4   4          5   6   10            5   6   8   2
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *r496 - 7*m2 *n1 *n2 *n3 *r496

             5   6   6   4            5   4   10   2
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   4   8   4                6   8   4   2           6   8   2   4
       - 2*m2 *n1 *n2 *n3 *r496)/(4*a33*m1 *n1 *n2 *n3  - 8*a33*m1 *n1 *n2 *n3

              6   4   8   2           6   4   6   4           5      9   5
    - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1 *n2

               5      9   3   2            5      9      4
    - 20*a33*m1 *m2*n1 *n2 *n3  + 16*a33*m1 *m2*n1 *n2*n3

              5      7   7           5      7   5   2
    + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


      m1*n1*n3*r496 + m2*n2*n3*r496
r350=-------------------------------
          a33*m1*n2 - a33*m2*n1


              2   10   9   6   2              2   10   9   4   4
r351=( - 8*a33 *m1  *n1 *n2 *n3 *r214 + 16*a33 *m1  *n1 *n2 *n3 *r214

              2   10   7   8   2              2   10   7   6   4
       - 8*a33 *m1  *n1 *n2 *n3 *r214 + 16*a33 *m1  *n1 *n2 *n3 *r214

              2   9      10   7              2   9      10   5   2
       - 8*a33 *m1 *m2*n1  *n2 *r214 + 60*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   9      10   3   4              2   9      8   9
       - 72*a33 *m1 *m2*n1  *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *r214

               2   9      8   7   2              2   9      8   5   4
       + 40*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   9      6   11              2   9      6   9   2
       - 8*a33 *m1 *m2*n1 *n2  *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   9      6   7   4             2   9   11   5   2
       + 88*a33 *m1 *m2*n1 *n2 *n3 *r214 - 4*a33 *m1 *n1  *n2 *n3 *r216

              2   9   11   3   4             2   9   9   7   2
       + 8*a33 *m1 *n1  *n2 *n3 *r216 - 8*a33 *m1 *n1 *n2 *n3 *r216

               2   9   9   5   4             2   9   7   9   2
       + 16*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   9   7   7   4              2   8   2   11   6
       + 8*a33 *m1 *n1 *n2 *n3 *r216 + 44*a33 *m1 *m2 *n1  *n2 *r214

                2   8   2   11   4   2               2   8   2   11   2   4
       - 168*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   2   9   8              2   8   2   9   6   2
       + 60*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   2   9   4   4              2   8   2   7   10
       - 288*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

                2   8   2   7   8   2               2   8   2   7   6   4
       + 216*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 216*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   2   5   12              2   8   2   5   10   2
       - 28*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   2   5   8   4             2   8      12   6
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2*n1  *n2 *r216

               2   8      12   4   2              2   8      12   2   4
       + 26*a33 *m1 *m2*n1  *n2 *n3 *r216 - 28*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      10   8              2   8      10   6   2
       - 12*a33 *m1 *m2*n1  *n2 *r216 + 42*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      10   4   4              2   8      8   10
       - 12*a33 *m1 *m2*n1  *n2 *n3 *r216 - 12*a33 *m1 *m2*n1 *n2  *r216

              2   8      8   8   2              2   8      8   6   4
       + 6*a33 *m1 *m2*n1 *n2 *n3 *r216 + 60*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   8      6   12              2   8      6   10   2
       - 4*a33 *m1 *m2*n1 *n2  *r216 - 10*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   8      6   8   4              2   7   3   12   5
       + 44*a33 *m1 *m2*n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1  *n2 *r214

                2   7   3   12   3   2              2   7   3   12      4
       + 224*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   3   10   7               2   7   3   10   5   2
       - 32*a33 *m1 *m2 *n1  *n2 *r214 - 448*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   3   10   3   4               2   7   3   8   9
       + 608*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 192*a33 *m1 *m2 *n1 *n2 *r214

                2   7   3   8   7   2               2   7   3   8   5   4
       - 528*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   3   6   11               2   7   3   6   9   2
       + 96*a33 *m1 *m2 *n1 *n2  *r214 + 224*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   3   6   7   4              2   7   3   4   13
       - 736*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2  *r214

               2   7   3   4   11   2               2   7   3   4   9   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 200*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   2   13   5              2   7   2   13   3   2
       + 18*a33 *m1 *m2 *n1  *n2 *r216 - 58*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   13      4              2   7   2   11   7
       + 32*a33 *m1 *m2 *n1  *n2*n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *r216

               2   7   2   11   5   2              2   7   2   11   3   4
       - 24*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   9   9               2   7   2   9   7   2
       + 12*a33 *m1 *m2 *n1 *n2 *r216 + 132*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   7   2   9   5   4              2   7   2   7   11
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2  *r216

                2   7   2   7   9   2              2   7   2   7   7   4
       + 104*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   2   5   13             2   7   2   5   11   2
       - 14*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   2   5   9   4               2   6   4   13   4
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 104*a33 *m1 *m2 *n1  *n2 *r214

                2   6   4   13   2   2              2   6   4   13   4
       - 144*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n3 *r214

                2   6   4   11   6               2   6   4   11   4   2
       - 152*a33 *m1 *m2 *n1  *n2 *r214 + 848*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   4   11   2   4               2   6   4   9   8
       - 496*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 416*a33 *m1 *m2 *n1 *n2 *r214

                2   6   4   9   6   2                2   6   4   9   4   4
       + 128*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 1136*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   4   7   10                2   6   4   7   8   2
       + 32*a33 *m1 *m2 *n1 *n2  *r214 - 1104*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   4   7   6   4               2   6   4   5   12
       + 576*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 184*a33 *m1 *m2 *n1 *n2  *r214

                2   6   4   5   10   2                2   6   4   5   8   4
       - 160*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 1000*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   6   4   3   14              2   6   4   3   12   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   4   3   10   4              2   6   3   14   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 30*a33 *m1 *m2 *n1  *n2 *r216

               2   6   3   14   2   2              2   6   3   14   4
       + 54*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1  *n3 *r216

               2   6   3   12   6               2   6   3   12   4   2
       - 24*a33 *m1 *m2 *n1  *n2 *r216 - 136*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   3   12   2   4              2   6   3   10   8
       + 164*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 92*a33 *m1 *m2 *n1  *n2 *r216

                2   6   3   10   6   2             2   6   3   10   4   4
       - 356*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   3   8   10              2   6   3   8   8   2
       + 120*a33 *m1 *m2 *n1 *n2  *r216 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   3   8   6   4              2   6   3   6   12
       - 456*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 18*a33 *m1 *m2 *n1 *n2  *r216

                2   6   3   6   10   2               2   6   3   6   8   4
       + 158*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 172*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   3   4   14              2   6   3   4   12   2
       - 16*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   3   4   10   4              2   5   5   14   3
       + 100*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 56*a33 *m1 *m2 *n1  *n2 *r214

               2   5   5   14      2               2   5   5   12   5
       + 36*a33 *m1 *m2 *n1  *n2*n3 *r214 + 288*a33 *m1 *m2 *n1  *n2 *r214

                2   5   5   12   3   2               2   5   5   12      4
       - 648*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 144*a33 *m1 *m2 *n1  *n2*n3 *r214

                2   5   5   10   7               2   5   5   10   5   2
       + 264*a33 *m1 *m2 *n1  *n2 *r214 + 924*a33 *m1 *m2 *n1  *n2 *n3 *r214

                 2   5   5   10   3   4               2   5   5   8   9
       - 1128*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 480*a33 *m1 *m2 *n1 *n2 *r214

                 2   5   5   8   7   2               2   5   5   8   5   4
       + 1488*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 768*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   5   6   11               2   5   5   6   9   2
       - 312*a33 *m1 *m2 *n1 *n2  *r214 - 540*a33 *m1 *m2 *n1 *n2 *n3 *r214

                 2   5   5   6   7   4              2   5   5   4   13
       + 1440*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 96*a33 *m1 *m2 *n1 *n2  *r214

                2   5   5   4   11   2               2   5   5   4   9   4
       - 408*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 624*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   5   2   15              2   5   5   2   13   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   5   2   11   4              2   5   4   15   3
       - 24*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 22*a33 *m1 *m2 *n1  *n2 *r216

               2   5   4   15      2              2   5   4   13   5
       - 18*a33 *m1 *m2 *n1  *n2*n3 *r216 - 48*a33 *m1 *m2 *n1  *n2 *r216

                2   5   4   13   3   2              2   5   4   13      4
       + 216*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1  *n2*n3 *r216

                2   5   4   11   7               2   5   4   11   5   2
       - 192*a33 *m1 *m2 *n1  *n2 *r216 + 132*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   4   11   3   4              2   5   4   9   9
       + 312*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *r216

                2   5   4   9   7   2               2   5   4   9   5   4
       - 536*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 400*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   7   11               2   5   4   7   9   2
       + 126*a33 *m1 *m2 *n1 *n2  *r216 - 474*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   7   7   4              2   5   4   5   13
       - 384*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 72*a33 *m1 *m2 *n1 *n2  *r216

                2   5   4   5   9   4             2   5   4   3   15
       - 360*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

               2   5   4   3   13   2              2   5   4   3   11   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   15   2               2   4   6   13   4
       + 12*a33 *m1 *m2 *n1  *n2 *r214 - 196*a33 *m1 *m2 *n1  *n2 *r214

                2   4   6   13   2   2               2   4   6   11   6
       + 180*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 132*a33 *m1 *m2 *n1  *n2 *r214

                 2   4   6   11   4   2
       - 1080*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   11   2   4               2   4   6   9   8
       + 360*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 660*a33 *m1 *m2 *n1 *n2 *r214

                2   4   6   9   6   2                2   4   6   9   4   4
       - 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 1280*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   6   7   10                2   4   6   7   8   2
       + 60*a33 *m1 *m2 *n1 *n2  *r214 + 1600*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   6   7   6   4               2   4   6   5   12
       - 320*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 276*a33 *m1 *m2 *n1 *n2  *r214

                2   4   6   5   10   2                2   4   6   5   8   4
       + 420*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 1248*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   6   3   14               2   4   6   3   12   2
       - 12*a33 *m1 *m2 *n1 *n2  *r214 - 200*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   6   3   10   4             2   4   6      16
       - 104*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   4   6      14   2              2   4   6      12   4
       - 20*a33 *m1 *m2 *n1*n2  *n3 *r214 - 32*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   4   5   16   2              2   4   5   14   4
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 68*a33 *m1 *m2 *n1  *n2 *r216

               2   4   5   14   2   2              2   4   5   12   6
       - 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 84*a33 *m1 *m2 *n1  *n2 *r216

                2   4   5   12   4   2               2   4   5   12   2   4
       + 270*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 180*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   10   8               2   4   5   10   6   2
       - 180*a33 *m1 *m2 *n1  *n2 *r216 + 670*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   10   4   4               2   4   5   8   10
       + 220*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 270*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   8   6   4              2   4   5   6   12
       + 720*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 36*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   6   10   2              2   4   5   6   8   4
       - 474*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 48*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   5   4   14               2   4   5   4   12   2
       + 48*a33 *m1 *m2 *n1 *n2  *r216 - 158*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   5   4   10   4             2   4   5   2   16
       - 284*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

              2   4   5   2   14   2              2   4   5   2   12   4
       + 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   14   3               2   3   7   12   5
       + 48*a33 *m1 *m2 *n1  *n2 *r214 - 224*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   12   3   2               2   3   7   10   7
       + 360*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 272*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   10   5   2               2   3   7   10   3   4
       - 720*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 480*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   7   8   9                2   3   7   8   7   2
       + 320*a33 *m1 *m2 *n1 *n2 *r214 - 1160*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   7   8   5   4               2   3   7   6   11
       - 680*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 304*a33 *m1 *m2 *n1 *n2  *r214

                2   3   7   6   9   2               2   3   7   6   7   4
       + 352*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 800*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   7   4   13               2   3   7   4   11   2
       - 32*a33 *m1 *m2 *n1 *n2  *r214 + 456*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   7   4   9   4              2   3   7   2   15
       + 432*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   3   7   2   13   2              2   3   7   2   11   4
       + 16*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   3   7   15   2             2   3   7   13   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2  *n3 *r214

               2   3   6   15   3              2   3   6   13   5
       - 24*a33 *m1 *m2 *n1  *n2 *r216 + 52*a33 *m1 *m2 *n1  *n2 *r216

                2   3   6   13   3   2               2   3   6   11   7
       - 180*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 216*a33 *m1 *m2 *n1  *n2 *r216

                2   3   6   11   3   4              2   3   6   9   9
       - 240*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 90*a33 *m1 *m2 *n1 *n2 *r216

                2   3   6   9   7   2              2   3   6   9   5   4
       + 670*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   7   11               2   3   6   7   9   2
       - 144*a33 *m1 *m2 *n1 *n2  *r216 + 536*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   7   7   4              2   3   6   5   13
       + 512*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2  *r216

               2   3   6   5   11   2               2   3   6   5   9   4
       - 48*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 288*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   3   13   2              2   3   6   3   11   4
       - 104*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 80*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   3   6      17              2   3   6      15   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   3   6      13   4              2   2   8   13   4
       - 16*a33 *m1 *m2 *n1*n2  *n3 *r216 + 72*a33 *m1 *m2 *n1  *n2 *r214

               2   2   8   11   6               2   2   8   11   4   2
       - 56*a33 *m1 *m2 *n1  *n2 *r214 + 360*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   8   9   8               2   2   8   9   4   4
       - 288*a33 *m1 *m2 *n1 *n2 *r214 + 360*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   8   7   10               2   2   8   7   8   2
       - 96*a33 *m1 *m2 *n1 *n2  *r214 - 696*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   8   7   6   4              2   2   8   5   12
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   5   10   2               2   2   8   5   8   4
       - 288*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 432*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   8   3   14              2   2   8   3   12   2
       + 24*a33 *m1 *m2 *n1 *n2  *r214 + 72*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   8      14   2              2   2   8      12   4
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 24*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   2   7   14   4              2   2   7   12   6
       - 36*a33 *m1 *m2 *n1  *n2 *r216 - 32*a33 *m1 *m2 *n1  *n2 *r216

                2   2   7   12   4   2               2   2   7   10   8
       - 180*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 114*a33 *m1 *m2 *n1  *n2 *r216

                2   2   7   10   6   2               2   2   7   10   4   4
       - 270*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 180*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   2   7   8   10               2   2   7   8   8   2
       + 168*a33 *m1 *m2 *n1 *n2  *r216 + 132*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   7   8   6   4              2   2   7   6   12
       - 228*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2  *r216

                2   2   7   6   10   2               2   2   7   6   8   4
       + 356*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   7   4   14               2   2   7   4   12   2
       - 24*a33 *m1 *m2 *n1 *n2  *r216 + 132*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   2   7   4   10   4             2   2   7   2   16
       + 168*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2  *r216

              2   2   7   2   14   2              2   2   7   2   12   4
       - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   2   7   16   2             2   2   7   14   4
       - 4*a33 *m1 *m2 *n2  *n3 *r216 - 4*a33 *m1 *m2 *n2  *n3 *r216

               2      9   12   5              2      9   10   7
       + 48*a33 *m1*m2 *n1  *n2 *r214 + 56*a33 *m1*m2 *n1  *n2 *r214

                2      9   10   5   2              2      9   8   9
       + 180*a33 *m1*m2 *n1  *n2 *n3 *r214 - 48*a33 *m1*m2 *n1 *n2 *r214

                2      9   8   7   2               2      9   8   5   4
       + 216*a33 *m1*m2 *n1 *n2 *n3 *r214 + 144*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      9   6   11              2      9   6   9   2
       - 72*a33 *m1*m2 *n1 *n2  *r214 - 52*a33 *m1*m2 *n1 *n2 *n3 *r214

                2      9   6   7   4              2      9   4   13
       + 104*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2  *r214

                2      9   4   11   2              2      9   4   9   4
       - 112*a33 *m1*m2 *n1 *n2  *n3 *r214 - 64*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      9   2   13   2              2      9   2   11   4
       - 24*a33 *m1*m2 *n1 *n2  *n3 *r214 - 24*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   13   5              2      8   11   7
       - 24*a33 *m1*m2 *n1  *n2 *r216 - 58*a33 *m1*m2 *n1  *n2 *r216

               2      8   11   5   2              2      8   9   9
       - 90*a33 *m1*m2 *n1  *n2 *n3 *r216 - 24*a33 *m1*m2 *n1 *n2 *r216

                2      8   9   7   2              2      8   9   5   4
       - 216*a33 *m1*m2 *n1 *n2 *n3 *r216 - 72*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      8   7   11               2      8   7   9   2
       + 36*a33 *m1*m2 *n1 *n2  *r216 - 136*a33 *m1*m2 *n1 *n2 *n3 *r216

                2      8   7   7   4              2      8   5   13
       - 136*a33 *m1*m2 *n1 *n2 *n3 *r216 + 32*a33 *m1*m2 *n1 *n2  *r216

               2      8   5   11   2              2      8   5   9   4
       + 24*a33 *m1*m2 *n1 *n2  *n3 *r216 - 48*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      8   3   15              2      8   3   13   2
       + 6*a33 *m1*m2 *n1 *n2  *r216 + 42*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   3   11   4             2      8      15   2
       + 24*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2      8      13   4              2   10   11   6
       + 8*a33 *m1*m2 *n1*n2  *n3 *r216 + 12*a33 *m2  *n1  *n2 *r214

               2   10   9   8              2   10   9   6   2
       + 28*a33 *m2  *n1 *n2 *r214 + 36*a33 *m2  *n1 *n2 *n3 *r214

               2   10   7   10              2   10   7   8   2
       + 20*a33 *m2  *n1 *n2  *r214 + 72*a33 *m2  *n1 *n2 *n3 *r214

               2   10   7   6   4             2   10   5   12
       + 24*a33 *m2  *n1 *n2 *n3 *r214 + 4*a33 *m2  *n1 *n2  *r214

               2   10   5   10   2              2   10   5   8   4
       + 44*a33 *m2  *n1 *n2  *n3 *r214 + 32*a33 *m2  *n1 *n2 *n3 *r214

              2   10   3   12   2             2   10   3   10   4
       + 8*a33 *m2  *n1 *n2  *n3 *r214 + 8*a33 *m2  *n1 *n2  *n3 *r214

              2   9   12   6              2   9   10   8
       - 6*a33 *m2 *n1  *n2 *r216 - 20*a33 *m2 *n1  *n2 *r216

               2   9   10   6   2              2   9   8   10
       - 18*a33 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m2 *n1 *n2  *r216

               2   9   8   8   2              2   9   8   6   4
       - 54*a33 *m2 *n1 *n2 *n3 *r216 - 12*a33 *m2 *n1 *n2 *n3 *r216

               2   9   6   12              2   9   6   10   2
       - 12*a33 *m2 *n1 *n2  *r216 - 58*a33 *m2 *n1 *n2  *n3 *r216

               2   9   6   8   4             2   9   4   14
       - 28*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   9   4   12   2              2   9   4   10   4
       - 26*a33 *m2 *n1 *n2  *n3 *r216 - 20*a33 *m2 *n1 *n2  *n3 *r216

              2   9   2   14   2             2   9   2   12   4
       - 4*a33 *m2 *n1 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2  *n3 *r216

             9   13   5   2            9   13   3   4
       + 4*m1 *n1  *n2 *n3 *r496 - 8*m1 *n1  *n2 *n3 *r496

             9   11   7   2            9   11   5   4
       + 2*m1 *n1  *n2 *n3 *r496 - 4*m1 *n1  *n2 *n3 *r496

             9   9   9   2             9   9   7   4
       - 8*m1 *n1 *n2 *n3 *r496 + 16*m1 *n1 *n2 *n3 *r496

             9   7   11   2             9   7   9   4
       - 6*m1 *n1 *n2  *n3 *r496 + 12*m1 *n1 *n2 *n3 *r496

             8      14   6             8      14   4   2
       + 4*m1 *m2*n1  *n2 *r496 - 22*m1 *m2*n1  *n2 *n3 *r496

              8      14   2   4            8      12   8
       + 20*m1 *m2*n1  *n2 *n3 *r496 + 6*m1 *m2*n1  *n2 *r496

             8      12   6   2             8      12   4   4
       + 3*m1 *m2*n1  *n2 *n3 *r496 - 42*m1 *m2*n1  *n2 *n3 *r496

             8      10   10             8      10   8   2
       - 6*m1 *m2*n1  *n2  *r496 + 51*m1 *m2*n1  *n2 *n3 *r496

              8      10   6   4             8      8   12
       - 66*m1 *m2*n1  *n2 *n3 *r496 - 14*m1 *m2*n1 *n2  *r496

             8      8   10   2             8      8   8   4
       + 5*m1 *m2*n1 *n2  *n3 *r496 + 74*m1 *m2*n1 *n2 *n3 *r496

             8      6   14             8      6   12   2
       - 6*m1 *m2*n1 *n2  *r496 - 21*m1 *m2*n1 *n2  *n3 *r496

              8      6   10   4             7   2   15   5
       + 78*m1 *m2*n1 *n2  *n3 *r496 - 14*m1 *m2 *n1  *n2 *r496

              7   2   15   3   2             7   2   15      4
       + 39*m1 *m2 *n1  *n2 *n3 *r496 - 18*m1 *m2 *n1  *n2*n3 *r496

             7   2   13   7             7   2   13   5   2
       - 3*m1 *m2 *n1  *n2 *r496 - 77*m1 *m2 *n1  *n2 *n3 *r496

               7   2   13   3   4             7   2   11   9
       + 112*m1 *m2 *n1  *n2 *n3 *r496 + 48*m1 *m2 *n1  *n2 *r496

               7   2   11   7   2             7   2   11   5   4
       - 114*m1 *m2 *n1  *n2 *n3 *r496 - 60*m1 *m2 *n1  *n2 *n3 *r496

              7   2   9   11              7   2   9   9   2
       + 22*m1 *m2 *n1 *n2  *r496 + 150*m1 *m2 *n1 *n2 *n3 *r496

               7   2   9   7   4             7   2   7   13
       - 312*m1 *m2 *n1 *n2 *n3 *r496 - 42*m1 *m2 *n1 *n2  *r496

               7   2   7   11   2             7   2   7   9   4
       + 139*m1 *m2 *n1 *n2  *n3 *r496 + 94*m1 *m2 *n1 *n2 *n3 *r496

              7   2   5   15            7   2   5   13   2
       - 27*m1 *m2 *n1 *n2  *r496 - 9*m1 *m2 *n1 *n2  *n3 *r496

               7   2   5   11   4             6   3   16   4
       + 216*m1 *m2 *n1 *n2  *n3 *r496 + 19*m1 *m2 *n1  *n2 *r496

              6   3   16   2   2            6   3   16   4
       - 30*m1 *m2 *n1  *n2 *n3 *r496 + 6*m1 *m2 *n1  *n3 *r496

              6   3   14   6              6   3   14   4   2
       - 30*m1 *m2 *n1  *n2 *r496 + 162*m1 *m2 *n1  *n2 *n3 *r496

               6   3   14   2   4             6   3   12   8
       - 102*m1 *m2 *n1  *n2 *n3 *r496 - 78*m1 *m2 *n1  *n2 *r496

              6   3   12   6   2              6   3   12   4   4
       - 28*m1 *m2 *n1  *n2 *n3 *r496 + 254*m1 *m2 *n1  *n2 *n3 *r496

              6   3   10   10              6   3   10   8   2
       + 88*m1 *m2 *n1  *n2  *r496 - 456*m1 *m2 *n1  *n2 *n3 *r496

              6   3   10   6   4              6   3   8   12
       + 84*m1 *m2 *n1  *n2 *n3 *r496 + 147*m1 *m2 *n1 *n2  *r496

              6   3   8   10   2              6   3   8   8   4
       + 30*m1 *m2 *n1 *n2  *n3 *r496 - 702*m1 *m2 *n1 *n2 *n3 *r496

              6   3   6   14              6   3   6   12   2
       - 18*m1 *m2 *n1 *n2  *r496 + 326*m1 *m2 *n1 *n2  *n3 *r496

              6   3   6   10   4             6   3   4   16
       - 94*m1 *m2 *n1 *n2  *n3 *r496 - 48*m1 *m2 *n1 *n2  *r496

              6   3   4   14   2              6   3   4   12   4
       + 60*m1 *m2 *n1 *n2  *n3 *r496 + 330*m1 *m2 *n1 *n2  *n3 *r496

              5   4   17   3            5   4   17      2
       - 12*m1 *m2 *n1  *n2 *r496 + 9*m1 *m2 *n1  *n2*n3 *r496

              5   4   15   5              5   4   15   3   2
       + 57*m1 *m2 *n1  *n2 *r496 - 135*m1 *m2 *n1  *n2 *n3 *r496

              5   4   15      4             5   4   13   7
       + 36*m1 *m2 *n1  *n2*n3 *r496 + 24*m1 *m2 *n1  *n2 *r496

               5   4   13   5   2              5   4   13   3   4
       + 234*m1 *m2 *n1  *n2 *n3 *r496 - 234*m1 *m2 *n1  *n2 *n3 *r496

               5   4   11   9              5   4   11   7   2
       - 196*m1 *m2 *n1  *n2 *r496 + 262*m1 *m2 *n1  *n2 *n3 *r496

               5   4   11   5   4             5   4   9   11
       + 292*m1 *m2 *n1  *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2  *r496

               5   4   9   9   2              5   4   9   7   4
       - 723*m1 *m2 *n1 *n2 *n3 *r496 + 420*m1 *m2 *n1 *n2 *n3 *r496

               5   4   7   13              5   4   7   11   2
       + 237*m1 *m2 *n1 *n2  *r496 - 447*m1 *m2 *n1 *n2  *n3 *r496

               5   4   7   9   4             5   4   5   15
       - 852*m1 *m2 *n1 *n2 *n3 *r496 + 68*m1 *m2 *n1 *n2  *r496

               5   4   5   13   2              5   4   5   11   4
       + 280*m1 *m2 *n1 *n2  *n3 *r496 - 410*m1 *m2 *n1 *n2  *n3 *r496

              5   4   3   17              5   4   3   15   2
       - 42*m1 *m2 *n1 *n2  *r496 + 120*m1 *m2 *n1 *n2  *n3 *r496

               5   4   3   13   4            4   5   18   2
       + 300*m1 *m2 *n1 *n2  *n3 *r496 + 3*m1 *m2 *n1  *n2 *r496

              4   5   16   4             4   5   16   2   2
       - 42*m1 *m2 *n1  *n2 *r496 + 45*m1 *m2 *n1  *n2 *n3 *r496

              4   5   14   6              4   5   14   4   2
       + 42*m1 *m2 *n1  *n2 *r496 - 225*m1 *m2 *n1  *n2 *n3 *r496

              4   5   14   2   4              4   5   12   8
       + 90*m1 *m2 *n1  *n2 *n3 *r496 + 122*m1 *m2 *n1  *n2 *r496

               4   5   12   6   2              4   5   12   4   4
       + 105*m1 *m2 *n1  *n2 *n3 *r496 - 270*m1 *m2 *n1  *n2 *n3 *r496

               4   5   10   10              4   5   10   8   2
       - 195*m1 *m2 *n1  *n2  *r496 + 575*m1 *m2 *n1  *n2 *n3 *r496

               4   5   10   6   4              4   5   8   12
       + 170*m1 *m2 *n1  *n2 *n3 *r496 - 222*m1 *m2 *n1 *n2  *r496

               4   5   8   10   2              4   5   8   8   4
       - 471*m1 *m2 *n1 *n2  *n3 *r496 + 672*m1 *m2 *n1 *n2 *n3 *r496

               4   5   6   14              4   5   6   12   2
       + 128*m1 *m2 *n1 *n2  *r496 - 753*m1 *m2 *n1 *n2  *n3 *r496

               4   5   6   10   4              4   5   4   16
       - 534*m1 *m2 *n1 *n2  *n3 *r496 + 102*m1 *m2 *n1 *n2  *r496

              4   5   4   14   2              4   5   4   12   4
       + 17*m1 *m2 *n1 *n2  *n3 *r496 - 514*m1 *m2 *n1 *n2  *n3 *r496

              4   5   2   18             4   5   2   16   2
       - 18*m1 *m2 *n1 *n2  *r496 + 99*m1 *m2 *n1 *n2  *n3 *r496

               4   5   2   14   4             3   6   17   3
       + 162*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1  *n2 *r496

              3   6   15   5             3   6   15   3   2
       - 48*m1 *m2 *n1  *n2 *r496 + 90*m1 *m2 *n1  *n2 *n3 *r496

              3   6   13   7              3   6   13   5   2
       - 22*m1 *m2 *n1  *n2 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

               3   6   13   3   4              3   6   11   9
       + 120*m1 *m2 *n1  *n2 *n3 *r496 + 138*m1 *m2 *n1  *n2 *r496

              3   6   11   7   2              3   6   11   5   4
       - 45*m1 *m2 *n1  *n2 *n3 *r496 - 150*m1 *m2 *n1  *n2 *n3 *r496

              3   6   9   11              3   6   9   9   2
       - 51*m1 *m2 *n1 *n2  *r496 + 583*m1 *m2 *n1 *n2 *n3 *r496

              3   6   9   7   4              3   6   7   13
       + 40*m1 *m2 *n1 *n2 *n3 *r496 - 232*m1 *m2 *n1 *n2  *r496

              3   6   7   11   2              3   6   7   9   4
       + 48*m1 *m2 *n1 *n2  *n3 *r496 + 588*m1 *m2 *n1 *n2 *n3 *r496

              3   6   5   15              3   6   5   13   2
       - 24*m1 *m2 *n1 *n2  *r496 - 504*m1 *m2 *n1 *n2  *n3 *r496

              3   6   5   11   4             3   6   3   17
       - 96*m1 *m2 *n1 *n2  *n3 *r496 + 54*m1 *m2 *n1 *n2  *r496

               3   6   3   15   2              3   6   3   13   4
       - 125*m1 *m2 *n1 *n2  *n3 *r496 - 326*m1 *m2 *n1 *n2  *n3 *r496

             3   6      19             3   6      17   2
       - 3*m1 *m2 *n1*n2  *r496 + 39*m1 *m2 *n1*n2  *n3 *r496

              3   6      15   4             2   7   16   4
       + 48*m1 *m2 *n1*n2  *n3 *r496 + 18*m1 *m2 *n1  *n2 *r496

              2   7   14   6             2   7   14   4   2
       - 12*m1 *m2 *n1  *n2 *r496 + 90*m1 *m2 *n1  *n2 *n3 *r496

              2   7   12   8             2   7   12   4   4
       - 33*m1 *m2 *n1  *n2 *r496 + 90*m1 *m2 *n1  *n2 *n3 *r496

              2   7   10   10             2   7   10   8   2
       + 78*m1 *m2 *n1  *n2  *r496 - 36*m1 *m2 *n1  *n2 *n3 *r496

              2   7   10   6   4             2   7   8   12
       - 18*m1 *m2 *n1  *n2 *n3 *r496 + 52*m1 *m2 *n1 *n2  *r496

               2   7   8   10   2            2   7   8   8   4
       + 338*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2 *n1 *n2 *n3 *r496

              2   7   6   14              2   7   6   12   2
       - 84*m1 *m2 *n1 *n2  *r496 + 246*m1 *m2 *n1 *n2  *n3 *r496

               2   7   6   10   4             2   7   4   16
       + 300*m1 *m2 *n1 *n2  *n3 *r496 - 45*m1 *m2 *n1 *n2  *r496

               2   7   4   14   2             2   7   4   12   4
       - 120*m1 *m2 *n1 *n2  *n3 *r496 + 78*m1 *m2 *n1 *n2  *n3 *r496

              2   7   2   18             2   7   2   16   2
       + 10*m1 *m2 *n1 *n2  *r496 - 76*m1 *m2 *n1 *n2  *n3 *r496

               2   7   2   14   4            2   7   18   2
       - 106*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n2  *n3 *r496

             2   7   16   4                8   15   5
       + 6*m1 *m2 *n2  *n3 *r496 + 12*m1*m2 *n1  *n2 *r496

                 8   13   7                8   13   5   2
       + 12*m1*m2 *n1  *n2 *r496 + 45*m1*m2 *n1  *n2 *n3 *r496

                8   11   9                8   11   7   2
       - 3*m1*m2 *n1  *n2 *r496 + 45*m1*m2 *n1  *n2 *n3 *r496

                 8   11   5   4                8   9   11
       + 36*m1*m2 *n1  *n2 *n3 *r496 + 28*m1*m2 *n1 *n2  *r496

                 8   9   9   2                8   9   7   4
       + 12*m1*m2 *n1 *n2 *n3 *r496 + 18*m1*m2 *n1 *n2 *n3 *r496

                 8   7   13                 8   7   11   2
       + 42*m1*m2 *n1 *n2  *r496 + 112*m1*m2 *n1 *n2  *n3 *r496

                8   7   9   4                 8   5   13   2
       + 4*m1*m2 *n1 *n2 *n3 *r496 + 129*m1*m2 *n1 *n2  *n3 *r496

                 8   5   11   4                8   3   17
       + 84*m1*m2 *n1 *n2  *n3 *r496 - 11*m1*m2 *n1 *n2  *r496

                 8   3   15   2                8   3   13   4
       + 15*m1*m2 *n1 *n2  *n3 *r496 + 48*m1*m2 *n1 *n2  *n3 *r496

                 8      17   2                8      15   4
       - 14*m1*m2 *n1*n2  *n3 *r496 - 14*m1*m2 *n1*n2  *n3 *r496

             9   14   6            9   12   8            9   12   6   2
       + 3*m2 *n1  *n2 *r496 + 6*m2 *n1  *n2 *r496 + 9*m2 *n1  *n2 *n3 *r496

             9   10   10             9   10   8   2
       + 4*m2 *n1  *n2  *r496 + 15*m2 *n1  *n2 *n3 *r496

             9   10   6   4            9   8   12            9   8   10   2
       + 6*m2 *n1  *n2 *n3 *r496 + 6*m2 *n1 *n2  *r496 + 9*m2 *n1 *n2  *n3 *r496

             9   8   8   4            9   6   14             9   6   12   2
       + 6*m2 *n1 *n2 *n3 *r496 + 9*m2 *n1 *n2  *r496 + 17*m2 *n1 *n2  *n3 *r496

             9   6   10   4            9   4   16
       + 2*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2  *r496

              9   4   14   2             9   4   12   4
       + 22*m2 *n1 *n2  *n3 *r496 + 10*m2 *n1 *n2  *n3 *r496

             9   2   16   2            9   2   14   4
       + 8*m2 *n1 *n2  *n3 *r496 + 8*m2 *n1 *n2  *n3 *r496)/(

           9   12   5   2           9   12   3   4           9   10   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 4*a33*m1 *n1  *n2 *n3

              9   10   5   4           9   8   9   2           9   8   7   4
    - 8*a33*m1 *n1  *n2 *n3  - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3

              9   6   11   2           9   6   9   4           8      13   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1  *n2

               8      13   4   2            8      13   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

              8      11   8            8      11   6   2
    + 8*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

               8      11   4   4            8      9   8   2
    - 24*a33*m1 *m2*n1  *n2 *n3  + 36*a33*m1 *m2*n1 *n2 *n3

               8      9   6   4           8      7   12
    - 72*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               8      7   10   2            8      7   8   4
    + 12*a33*m1 *m2*n1 *n2  *n3  + 24*a33*m1 *m2*n1 *n2 *n3

              8      5   14            8      5   12   2
    - 4*a33*m1 *m2*n1 *n2   - 12*a33*m1 *m2*n1 *n2  *n3

               8      5   10   4            7   2   14   5
    + 48*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   14   3   2            7   2   14      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               7   2   12   7            7   2   12   5   2
    - 16*a33*m1 *m2 *n1  *n2  - 48*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   3   4            7   2   10   9
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 32*a33*m1 *m2 *n1  *n2

                7   2   10   7   2            7   2   10   5   4
    - 144*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2 *n3

               7   2   8   11            7   2   8   9   2
    + 32*a33*m1 *m2 *n1 *n2   + 48*a33*m1 *m2 *n1 *n2 *n3

                7   2   8   7   4            7   2   6   13
    - 240*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

               7   2   6   11   2            7   2   6   9   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2 *n3

               7   2   4   15             7   2   4   11   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   15   4            6   3   15   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   15   4            6   3   13   6
    + 8*a33*m1 *m2 *n1  *n3  - 16*a33*m1 *m2 *n1  *n2

                6   3   13   4   2             6   3   13   2   4
    + 176*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   8             6   3   11   6   2
    - 104*a33*m1 *m2 *n1  *n2  + 136*a33*m1 *m2 *n1  *n2 *n3

                6   3   11   4   4             6   3   9   8   2
    + 208*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                6   3   9   6   4             6   3   7   12
    + 336*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

                6   3   7   10   2             6   3   7   8   4
    - 136*a33*m1 *m2 *n1 *n2  *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               6   3   5   14             6   3   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 160*a33*m1 *m2 *n1 *n2  *n3

                6   3   5   10   4            6   3   3   16
    - 200*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   14   2             6   3   3   12   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   16   3            5   4   16      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   14   5             5   4   14   3   2
    + 64*a33*m1 *m2 *n1  *n2  - 180*a33*m1 *m2 *n1  *n2 *n3

               5   4   14      4            5   4   12   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 96*a33*m1 *m2 *n1  *n2

                5   4   12   5   2             5   4   12   3   4
    + 156*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1  *n2 *n3

                5   4   10   9             5   4   10   7   2
    - 144*a33*m1 *m2 *n1  *n2  + 540*a33*m1 *m2 *n1  *n2 *n3

               5   4   10   5   4             5   4   8   11
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1 *n2

                5   4   8   9   2             5   4   8   7   4
    - 228*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

               5   4   6   13             5   4   6   11   2
    + 96*a33*m1 *m2 *n1 *n2   - 420*a33*m1 *m2 *n1 *n2  *n3

                5   4   6   9   4            5   4   4   15
    - 240*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2

               5   4   4   13   2             5   4   4   11   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  - 360*a33*m1 *m2 *n1 *n2  *n3

               5   4   2   17            5   4   2   15   2
    - 16*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                5   4   2   13   4           4   5   17   2
    + 120*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1  *n2

               4   5   15   4            4   5   15   2   2
    - 56*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

               4   5   13   6             4   5   13   4   2
    + 16*a33*m1 *m2 *n1  *n2  - 300*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   2   4             4   5   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 216*a33*m1 *m2 *n1  *n2

                4   5   11   6   2             4   5   11   4   4
    - 180*a33*m1 *m2 *n1  *n2 *n3  - 360*a33*m1 *m2 *n1  *n2 *n3

                4   5   9   8   2             4   5   9   6   4
    + 660*a33*m1 *m2 *n1 *n2 *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

                4   5   7   12             4   5   7   10   2
    - 216*a33*m1 *m2 *n1 *n2   + 204*a33*m1 *m2 *n1 *n2  *n3

                4   5   7   8   4            4   5   5   14
    + 672*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                4   5   5   12   2            4   5   5   10   4
    - 396*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

               4   5   3   16            4   5   3   14   2
    + 56*a33*m1 *m2 *n1 *n2   - 84*a33*m1 *m2 *n1 *n2  *n3

                4   5   3   12   4           4   5      18
    - 312*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2

               4   5      16   2            4   5      14   4
    + 36*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

               3   6   16   3            3   6   14   5
    + 16*a33*m1 *m2 *n1  *n2  - 64*a33*m1 *m2 *n1  *n2

                3   6   14   3   2            3   6   12   7
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 96*a33*m1 *m2 *n1  *n2

                3   6   12   5   2             3   6   12   3   4
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   9             3   6   10   7   2
    + 144*a33*m1 *m2 *n1  *n2  - 440*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   5   4             3   6   8   11
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1 *n2

                3   6   8   9   2             3   6   8   7   4
    + 296*a33*m1 *m2 *n1 *n2 *n3  - 376*a33*m1 *m2 *n1 *n2 *n3

               3   6   6   13             3   6   6   11   2
    - 96*a33*m1 *m2 *n1 *n2   + 408*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   9   4            3   6   4   15
    + 336*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2

                3   6   4   13   2             3   6   4   11   4
    - 104*a33*m1 *m2 *n1 *n2  *n3  + 208*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   17            3   6   2   15   2
    + 16*a33*m1 *m2 *n1 *n2   - 88*a33*m1 *m2 *n1 *n2  *n3

                3   6   2   13   4           3   6   17   2
    - 136*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   15   4            2   7   15   4            2   7   13   6
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2

                2   7   13   4   2             2   7   11   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                2   7   11   4   4             2   7   9   8   2
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1 *n2 *n3

               2   7   9   6   4             2   7   7   12
    - 24*a33*m1 *m2 *n1 *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

               2   7   7   10   2             2   7   7   8   4
    - 48*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

               2   7   5   14             2   7   5   12   2
    + 16*a33*m1 *m2 *n1 *n2   + 216*a33*m1 *m2 *n1 *n2  *n3

               2   7   5   10   4            2   7   3   16
    + 48*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               2   7   3   14   2             2   7   3   12   4
    + 48*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

               2   7      16   2            2   7      14   4
    - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  8   14   5               8   12   7
    + 16*a33*m1*m2 *n1  *n2  + 16*a33*m1*m2 *n1  *n2

                  8   12   5   2               8   10   9
    + 60*a33*m1*m2 *n1  *n2 *n3  - 32*a33*m1*m2 *n1  *n2

                  8   10   7   2               8   10   5   4
    + 60*a33*m1*m2 *n1  *n2 *n3  + 48*a33*m1*m2 *n1  *n2 *n3

                  8   8   11               8   8   9   2
    - 32*a33*m1*m2 *n1 *n2   - 84*a33*m1*m2 *n1 *n2 *n3

                  8   8   7   4               8   6   13
    + 24*a33*m1*m2 *n1 *n2 *n3  + 16*a33*m1*m2 *n1 *n2

                  8   6   11   2               8   6   9   4
    - 84*a33*m1*m2 *n1 *n2  *n3  - 72*a33*m1*m2 *n1 *n2 *n3

                  8   4   15               8   4   13   2
    + 16*a33*m1*m2 *n1 *n2   + 24*a33*m1*m2 *n1 *n2  *n3

                  8   4   11   4               8   2   15   2
    - 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                  8   2   13   4           9   13   6           9   11   8
    + 24*a33*m1*m2 *n1 *n2  *n3  + 4*a33*m2 *n1  *n2  + 8*a33*m2 *n1  *n2

               9   11   6   2            9   9   8   2           9   9   6   4
    + 12*a33*m2 *n1  *n2 *n3  + 20*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2 *n3

              9   7   12           9   7   10   2           9   7   8   4
    - 8*a33*m2 *n1 *n2   - 4*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3

              9   5   14            9   5   12   2           9   5   10   4
    - 4*a33*m2 *n1 *n2   - 20*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   14   2           9   3   12   4
    - 8*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3 )


           2   10   12   5   2             2   10   12   3   4
r352=(4*a33 *m1  *n1  *n2 *n3 *r214 - 8*a33 *m1  *n1  *n2 *n3 *r214

               2   10   10   7   2              2   10   10   5   4
       + 20*a33 *m1  *n1  *n2 *n3 *r214 - 40*a33 *m1  *n1  *n2 *n3 *r214

               2   10   8   9   2              2   10   8   7   4
       + 28*a33 *m1  *n1 *n2 *n3 *r214 - 56*a33 *m1  *n1 *n2 *n3 *r214

               2   10   6   11   2              2   10   6   9   4
       + 12*a33 *m1  *n1 *n2  *n3 *r214 - 24*a33 *m1  *n1 *n2 *n3 *r214

              2   9      13   6              2   9      13   4   2
       + 4*a33 *m1 *m2*n1  *n2 *r214 - 24*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   9      13   2   4              2   9      11   8
       + 24*a33 *m1 *m2*n1  *n2 *n3 *r214 + 24*a33 *m1 *m2*n1  *n2 *r214

                2   9      11   6   2              2   9      11   4   4
       - 116*a33 *m1 *m2*n1  *n2 *n3 *r214 + 88*a33 *m1 *m2*n1  *n2 *n3 *r214

               2   9      9   10               2   9      9   8   2
       + 48*a33 *m1 *m2*n1 *n2  *r214 - 124*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   9      9   6   4              2   9      7   12
       - 40*a33 *m1 *m2*n1 *n2 *n3 *r214 + 40*a33 *m1 *m2*n1 *n2  *r214

              2   9      7   10   2               2   9      7   8   4
       + 4*a33 *m1 *m2*n1 *n2  *n3 *r214 - 248*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   9      5   14              2   9      5   12   2
       + 12*a33 *m1 *m2*n1 *n2  *r214 + 36*a33 *m1 *m2*n1 *n2  *n3 *r214

                2   9      5   10   4             2   9   14   4   2
       - 144*a33 *m1 *m2*n1 *n2  *n3 *r214 + 2*a33 *m1 *n1  *n2 *n3 *r216

              2   9   14   2   4              2   9   12   6   2
       - 4*a33 *m1 *n1  *n2 *n3 *r216 + 12*a33 *m1 *n1  *n2 *n3 *r216

               2   9   12   4   4              2   9   10   8   2
       - 24*a33 *m1 *n1  *n2 *n3 *r216 + 24*a33 *m1 *n1  *n2 *n3 *r216

               2   9   10   6   4              2   9   8   10   2
       - 48*a33 *m1 *n1  *n2 *n3 *r216 + 20*a33 *m1 *n1 *n2  *n3 *r216

               2   9   8   8   4             2   9   6   12   2
       - 40*a33 *m1 *n1 *n2 *n3 *r216 + 6*a33 *m1 *n1 *n2  *n3 *r216

               2   9   6   10   4              2   8   2   14   5
       - 12*a33 *m1 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   8   2   14   3   2              2   8   2   14      4
       + 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   8   2   12   7               2   8   2   12   5   2
       - 88*a33 *m1 *m2 *n1  *n2 *r214 + 192*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   8   2   12   3   4               2   8   2   10   9
       - 24*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1  *n2 *r214

               2   8   2   10   7   2               2   8   2   10   5   4
       - 72*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 432*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   2   8   11               2   8   2   8   9   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 528*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   2   8   7   4               2   8   2   6   13
       + 480*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 104*a33 *m1 *m2 *n1 *n2  *r214

                2   8   2   6   11   2               2   8   2   6   9   4
       - 312*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 312*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   2   4   15               2   8   2   4   11   4
       + 48*a33 *m1 *m2 *n1 *n2  *r214 - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214

              2   8      15   5              2   8      15   3   2
       + 2*a33 *m1 *m2*n1  *n2 *r216 - 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   8      15      4              2   8      13   7
       + 8*a33 *m1 *m2*n1  *n2*n3 *r216 + 14*a33 *m1 *m2*n1  *n2 *r216

               2   8      13   5   2              2   8      13   3   4
       - 58*a33 *m1 *m2*n1  *n2 *n3 *r216 + 32*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      11   9              2   8      11   7   2
       + 36*a33 *m1 *m2*n1  *n2 *r216 - 96*a33 *m1 *m2*n1  *n2 *n3 *r216

               2   8      11   5   4              2   8      9   11
       - 24*a33 *m1 *m2*n1  *n2 *n3 *r216 + 44*a33 *m1 *m2*n1 *n2  *r216

               2   8      9   9   2               2   8      9   7   4
       - 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 184*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   8      7   13              2   8      7   11   2
       + 26*a33 *m1 *m2*n1 *n2  *r216 + 26*a33 *m1 *m2*n1 *n2  *n3 *r216

                2   8      7   9   4             2   8      5   15
       - 208*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2  *r216

               2   8      5   13   2              2   8      5   11   4
       + 18*a33 *m1 *m2*n1 *n2  *n3 *r216 - 72*a33 *m1 *m2*n1 *n2  *n3 *r216

               2   7   3   15   4              2   7   3   15   2   2
       + 24*a33 *m1 *m2 *n1  *n2 *r214 - 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   3   15   4               2   7   3   13   6
       + 8*a33 *m1 *m2 *n1  *n3 *r214 + 112*a33 *m1 *m2 *n1  *n2 *r214

               2   7   3   13   4   2              2   7   3   13   2   4
       - 80*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   7   3   11   8               2   7   3   11   6   2
       - 8*a33 *m1 *m2 *n1  *n2 *r214 + 680*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   7   3   11   4   4               2   7   3   9   10
       - 496*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 384*a33 *m1 *m2 *n1 *n2  *r214

                 2   7   3   9   8   2               2   7   3   9   6   4
       + 1040*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 368*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   3   7   12               2   7   3   7   10   2
       - 344*a33 *m1 *m2 *n1 *n2  *r214 - 200*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   7   3   7   8   4              2   7   3   5   14
       + 1480*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

                2   7   3   5   12   2               2   7   3   5   10   4
       - 640*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 200*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   7   3   3   16               2   7   3   3   14   2
       + 72*a33 *m1 *m2 *n1 *n2  *r214 - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   7   3   3   12   4             2   7   2   16   4
       - 480*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 6*a33 *m1 *m2 *n1  *n2 *r216

               2   7   2   16   2   2             2   7   2   16   4
       + 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n3 *r216

               2   7   2   14   6              2   7   2   14   4   2
       - 38*a33 *m1 *m2 *n1  *n2 *r216 + 62*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   7   2   14   2   4              2   7   2   12   8
       + 8*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 68*a33 *m1 *m2 *n1  *n2 *r216

               2   7   2   12   6   2               2   7   2   12   4   4
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 180*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   2   10   10               2   7   2   10   8   2
       - 12*a33 *m1 *m2 *n1  *n2  *r216 - 340*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   7   2   10   6   4              2   7   2   8   12
       + 272*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 82*a33 *m1 *m2 *n1 *n2  *r216

                2   7   2   8   10   2               2   7   2   8   8   4
       - 394*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 124*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   2   6   14               2   7   2   6   12   2
       + 82*a33 *m1 *m2 *n1 *n2  *r216 - 138*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   7   2   6   10   4              2   7   2   4   16
       - 408*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2  *r216

                2   7   2   4   12   4              2   6   4   16   3
       - 180*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   6   4   16      2              2   6   4   14   5
       + 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *r214

               2   6   4   14   3   2              2   6   4   14      4
       - 52*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1  *n2*n3 *r214

                2   6   4   12   7               2   6   4   12   5   2
       + 272*a33 *m1 *m2 *n1  *n2 *r214 - 788*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   6   4   12   3   4               2   6   4   10   9
       + 136*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 624*a33 *m1 *m2 *n1  *n2 *r214

               2   6   4   10   7   2                2   6   4   10   5   4
       - 52*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 1144*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   6   4   8   11                2   6   4   8   9   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 2012*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   4   8   7   4               2   6   4   6   13
       - 928*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 496*a33 *m1 *m2 *n1 *n2  *r214

                 2   6   4   6   11   2
       + 1180*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   6   4   6   9   4               2   6   4   4   15
       + 1600*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 176*a33 *m1 *m2 *n1 *n2  *r214

                2   6   4   4   13   2               2   6   4   4   11   4
       - 340*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 920*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   6   4   2   17               2   6   4   2   15   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 - 180*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   4   2   13   4             2   6   3   17   3
       - 360*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *r216

              2   6   3   17      2              2   6   3   15   5
       - 6*a33 *m1 *m2 *n1  *n2*n3 *r216 + 30*a33 *m1 *m2 *n1  *n2 *r216

              2   6   3   15   3   2              2   6   3   15      4
       + 2*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   6   3   13   7               2   6   3   13   5   2
       - 16*a33 *m1 *m2 *n1  *n2 *r216 + 264*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   3   13   3   4               2   6   3   11   9
       - 96*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 208*a33 *m1 *m2 *n1  *n2 *r216

                2   6   3   11   7   2               2   6   3   11   5   4
       + 520*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 208*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   6   3   9   11              2   6   3   9   9   2
       - 282*a33 *m1 *m2 *n1 *n2  *r216 + 26*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   3   9   7   4              2   6   3   7   13
       + 800*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 82*a33 *m1 *m2 *n1 *n2  *r216

                2   6   3   7   11   2               2   6   3   7   9   4
       - 558*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 432*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   3   5   15               2   6   3   5   13   2
       + 68*a33 *m1 *m2 *n1 *n2  *r216 - 380*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   6   3   5   11   4              2   6   3   3   17
       - 320*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 36*a33 *m1 *m2 *n1 *n2  *r216

               2   6   3   3   15   2               2   6   3   3   13   4
       - 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 240*a33 *m1 *m2 *n1 *n2  *n3 *r216

              2   5   5   17   2             2   5   5   15   4
       + 4*a33 *m1 *m2 *n1  *n2 *r214 - 8*a33 *m1 *m2 *n1  *n2 *r214

               2   5   5   15   2   2               2   5   5   13   6
       + 36*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 288*a33 *m1 *m2 *n1  *n2 *r214

                2   5   5   13   4   2              2   5   5   13   2   4
       + 276*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   5   11   8                2   5   5   11   6   2
       - 216*a33 *m1 *m2 *n1  *n2 *r214 - 1116*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   5   5   11   4   4               2   5   5   9   10
       + 648*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 720*a33 *m1 *m2 *n1 *n2  *r214

                 2   5   5   9   8   2               2   5   5   9   6   4
       - 2076*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 816*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   5   5   7   12               2   5   5   7   10   2
       + 792*a33 *m1 *m2 *n1 *n2  *r214 + 564*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   5   5   7   8   4              2   5   5   5   14
       - 2208*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2  *r214

                 2   5   5   5   12   2
       + 1620*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   5   5   5   10   4               2   5   5   3   16
       + 360*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 184*a33 *m1 *m2 *n1 *n2  *r214

                2   5   5   3   14   2               2   5   5   3   12   4
       + 228*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 984*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   5   5      18               2   5   5      16   2
       + 12*a33 *m1 *m2 *n1*n2  *r214 - 108*a33 *m1 *m2 *n1*n2  *n3 *r214

                2   5   5      14   4             2   5   4   18   2
       - 144*a33 *m1 *m2 *n1*n2  *n3 *r214 - 2*a33 *m1 *m2 *n1  *n2 *r216

              2   5   4   16   4              2   5   4   16   2   2
       - 2*a33 *m1 *m2 *n1  *n2 *r216 - 18*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   4   14   6               2   5   4   14   4   2
       + 96*a33 *m1 *m2 *n1  *n2 *r216 - 156*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   4   14   2   4               2   5   4   12   8
       - 12*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 240*a33 *m1 *m2 *n1  *n2 *r216

                2   5   4   12   6   2               2   5   4   12   4   4
       + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 296*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   4   10   10                2   5   4   10   8   2
       + 54*a33 *m1 *m2 *n1  *n2  *r216 + 1006*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   5   4   10   6   4               2   5   4   8   12
       - 236*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 306*a33 *m1 *m2 *n1 *n2  *r216

                 2   5   4   8   10   2               2   5   4   8   8   4
       + 1038*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 768*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   5   4   6   14              2   5   4   6   12   2
       - 268*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   4   6   10   4              2   5   4   4   16
       + 940*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 28*a33 *m1 *m2 *n1 *n2  *r216

                2   5   4   4   14   2              2   5   4   4   12   4
       - 320*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   5   4   2   18              2   5   4   2   16   2
       + 24*a33 *m1 *m2 *n1 *n2  *r216 - 90*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   5   4   2   14   4             2   4   6   16   3
       - 180*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1  *n2 *r214

                2   4   6   14   5               2   4   6   12   7
       + 104*a33 *m1 *m2 *n1  *n2 *r214 - 216*a33 *m1 *m2 *n1  *n2 *r214

                2   4   6   12   5   2              2   4   6   12   3   4
       + 760*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   10   9              2   4   6   10   7   2
       - 792*a33 *m1 *m2 *n1  *n2 *r214 + 80*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   4   6   10   5   4               2   4   6   8   11
       + 920*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 216*a33 *m1 *m2 *n1 *n2  *r214

                 2   4   6   8   9   2               2   4   6   8   7   4
       - 2264*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 424*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   6   6   13                2   4   6   6   11   2
       + 552*a33 *m1 *m2 *n1 *n2  *r214 - 1376*a33 *m1 *m2 *n1 *n2  *n3 *r214

                 2   4   6   6   9   4               2   4   6   4   15
       - 1712*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 232*a33 *m1 *m2 *n1 *n2  *r214

                2   4   6   4   13   2               2   4   6   4   11   4
       + 536*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 640*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   4   6   2   17               2   4   6   2   15   2
       - 56*a33 *m1 *m2 *n1 *n2  *r214 + 304*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   4   6   2   13   4              2   4   6   17   2
       + 472*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 24*a33 *m1 *m2 *n2  *n3 *r214

               2   4   6   15   4             2   4   5   17   3
       - 24*a33 *m1 *m2 *n2  *n3 *r214 - 4*a33 *m1 *m2 *n1  *n2 *r216

               2   4   5   15   5              2   4   5   13   7
       - 52*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r216

                2   4   5   13   5   2              2   4   5   13   3   4
       - 320*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   11   9               2   4   5   11   7   2
       + 306*a33 *m1 *m2 *n1  *n2 *r216 - 590*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   5   11   5   4               2   4   5   9   11
       - 320*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 450*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   9   9   2               2   4   5   9   7   4
       + 282*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 744*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   5   7   13                2   4   5   7   11   2
       + 96*a33 *m1 *m2 *n1 *n2  *r216 + 1132*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   5   7   9   4               2   4   5   5   15
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 152*a33 *m1 *m2 *n1 *n2  *r216

                2   4   5   5   13   2               2   4   5   5   11   4
       + 604*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 712*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   5   3   17              2   4   5   3   15   2
       - 62*a33 *m1 *m2 *n1 *n2  *r216 - 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   4   5   3   13   4             2   4   5      19
       + 240*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 6*a33 *m1 *m2 *n1*n2  *r216

               2   4   5      17   2              2   4   5      15   4
       - 54*a33 *m1 *m2 *n1*n2  *n3 *r216 - 72*a33 *m1 *m2 *n1*n2  *n3 *r216

              2   3   7   15   4               2   3   7   13   6
       - 8*a33 *m1 *m2 *n1  *n2 *r214 + 176*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   13   4   2               2   3   7   11   8
       - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 216*a33 *m1 *m2 *n1  *n2 *r214

                2   3   7   11   6   2               2   3   7   11   4   4
       + 640*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 200*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   3   7   9   10                2   3   7   9   8   2
       - 384*a33 *m1 *m2 *n1 *n2  *r214 + 1208*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   7   9   6   4               2   3   7   7   12
       + 536*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 568*a33 *m1 *m2 *n1 *n2  *r214

                2   3   7   7   10   2               2   3   7   7   8   4
       - 368*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 976*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   7   5   14                2   3   7   5   12   2
       - 48*a33 *m1 *m2 *n1 *n2  *r214 - 1112*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   3   7   5   10   4               2   3   7   3   16
       - 368*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 104*a33 *m1 *m2 *n1 *n2  *r214

                2   3   7   3   14   2               2   3   7   3   12   4
       - 208*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 520*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   3   7      16   2              2   3   7      14   4
       + 88*a33 *m1 *m2 *n1*n2  *n3 *r214 + 88*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   3   6   16   4              2   3   6   14   6
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 68*a33 *m1 *m2 *n1  *n2 *r216

               2   3   6   14   4   2               2   3   6   12   8
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 198*a33 *m1 *m2 *n1  *n2 *r216

                2   3   6   12   6   2               2   3   6   12   4   4
       - 170*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 100*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   6   10   10               2   3   6   10   8   2
       - 54*a33 *m1 *m2 *n1  *n2  *r216 - 810*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   3   6   10   6   4               2   3   6   8   12
       - 72*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 264*a33 *m1 *m2 *n1 *n2  *r216

                2   3   6   8   10   2               2   3   6   8   8   4
       - 688*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 628*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   6   6   14               2   3   6   6   12   2
       + 240*a33 *m1 *m2 *n1 *n2  *r216 + 184*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   6   6   10   4              2   3   6   4   16
       - 464*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 26*a33 *m1 *m2 *n1 *n2  *r216

                2   3   6   4   14   2               2   3   6   4   12   4
       + 390*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 156*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   6   2   18              2   3   6   2   16   2
       - 22*a33 *m1 *m2 *n1 *n2  *r216 + 86*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   3   6   2   14   4              2   3   6   18   2
       + 152*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n2  *n3 *r216

               2   3   6   16   4              2   2   8   14   5
       - 12*a33 *m1 *m2 *n2  *n3 *r216 - 32*a33 *m1 *m2 *n1  *n2 *r214

               2   2   8   12   7               2   2   8   12   5   2
       + 64*a33 *m1 *m2 *n1  *n2 *r214 - 180*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   8   10   9              2   2   8   10   7   2
       + 288*a33 *m1 *m2 *n1  *n2 *r214 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

                2   2   8   10   5   4               2   2   8   8   11
       - 192*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 160*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   8   9   2              2   2   8   8   7   4
       + 780*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   2   8   6   13               2   2   8   6   11   2
       - 128*a33 *m1 *m2 *n1 *n2  *r214 + 540*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   2   8   6   9   4              2   2   8   4   15
       + 504*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 96*a33 *m1 *m2 *n1 *n2  *r214

                2   2   8   4   13   2               2   2   8   4   11   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 168*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   2   8   2   15   2               2   2   8   2   13   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2  *n3 *r214

               2   2   7   15   5             2   2   7   13   7
       + 16*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1  *n2 *r216

               2   2   7   13   5   2               2   2   7   11   9
       + 90*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 138*a33 *m1 *m2 *n1  *n2 *r216

                2   2   7   11   7   2              2   2   7   11   5   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 96*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   2   7   9   11               2   2   7   9   9   2
       - 212*a33 *m1 *m2 *n1 *n2  *r216 - 268*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   7   9   7   4              2   2   7   7   13
       + 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 68*a33 *m1 *m2 *n1 *n2  *r216

                2   2   7   7   11   2               2   2   7   7   9   4
       - 556*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 160*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   7   5   15               2   2   7   5   13   2
       + 54*a33 *m1 *m2 *n1 *n2  *r216 - 270*a33 *m1 *m2 *n1 *n2  *n3 *r216

                2   2   7   5   11   4              2   2   7   3   17
       - 288*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 30*a33 *m1 *m2 *n1 *n2  *r216

               2   2   7   3   15   2              2   2   7   3   13   4
       + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   7      17   2              2   2   7      15   4
       + 32*a33 *m1 *m2 *n1*n2  *n3 *r216 + 32*a33 *m1 *m2 *n1*n2  *n3 *r216

               2      9   13   6              2      9   11   8
       - 28*a33 *m1*m2 *n1  *n2 *r214 - 40*a33 *m1*m2 *n1  *n2 *r214

                2      9   11   6   2              2      9   9   10
       - 108*a33 *m1*m2 *n1  *n2 *n3 *r214 + 48*a33 *m1*m2 *n1 *n2  *r214

                2      9   9   8   2              2      9   9   6   4
       - 172*a33 *m1*m2 *n1 *n2 *n3 *r214 - 88*a33 *m1*m2 *n1 *n2 *n3 *r214

                2      9   7   12              2      9   7   10   2
       + 104*a33 *m1*m2 *n1 *n2  *r214 + 52*a33 *m1*m2 *n1 *n2  *n3 *r214

                2      9   7   8   4              2      9   5   14
       - 104*a33 *m1*m2 *n1 *n2 *n3 *r214 + 44*a33 *m1*m2 *n1 *n2  *r214

                2      9   5   12   2              2      9   5   10   4
       + 188*a33 *m1*m2 *n1 *n2  *n3 *r214 + 56*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      9   3   14   2              2      9   3   12   4
       + 72*a33 *m1*m2 *n1 *n2  *n3 *r214 + 72*a33 *m1*m2 *n1 *n2  *n3 *r214

               2      8   14   6              2      8   12   8
       + 14*a33 *m1*m2 *n1  *n2 *r216 + 38*a33 *m1*m2 *n1  *n2 *r216

               2      8   12   6   2              2      8   10   10
       + 54*a33 *m1*m2 *n1  *n2 *n3 *r216 + 12*a33 *m1*m2 *n1  *n2  *r216

                2      8   10   8   2              2      8   10   6   4
       + 152*a33 *m1*m2 *n1  *n2 *n3 *r216 + 44*a33 *m1*m2 *n1  *n2 *n3 *r216

               2      8   8   12               2      8   8   10   2
       - 52*a33 *m1*m2 *n1 *n2  *r216 + 104*a33 *m1*m2 *n1 *n2  *n3 *r216

                2      8   8   8   4              2      8   6   14
       + 104*a33 *m1*m2 *n1 *n2 *n3 *r216 - 58*a33 *m1*m2 *n1 *n2  *r216

               2      8   6   12   2              2      8   6   10   4
       - 60*a33 *m1*m2 *n1 *n2  *n3 *r216 + 48*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   4   16              2      8   4   14   2
       - 18*a33 *m1*m2 *n1 *n2  *r216 - 94*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   4   12   4              2      8   2   16   2
       - 40*a33 *m1*m2 *n1 *n2  *n3 *r216 - 28*a33 *m1*m2 *n1 *n2  *n3 *r216

               2      8   2   14   4             2   10   12   7
       - 28*a33 *m1*m2 *n1 *n2  *n3 *r216 - 8*a33 *m2  *n1  *n2 *r214

               2   10   10   9              2   10   10   7   2
       - 24*a33 *m2  *n1  *n2 *r214 - 24*a33 *m2  *n1  *n2 *n3 *r214

               2   10   8   11              2   10   8   9   2
       - 24*a33 *m2  *n1 *n2  *r214 - 64*a33 *m2  *n1 *n2 *n3 *r214

               2   10   8   7   4             2   10   6   13
       - 16*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2  *r214

               2   10   6   11   2              2   10   6   9   4
       - 56*a33 *m2  *n1 *n2  *n3 *r214 - 32*a33 *m2  *n1 *n2 *n3 *r214

               2   10   4   13   2              2   10   4   11   4
       - 16*a33 *m2  *n1 *n2  *n3 *r214 - 16*a33 *m2  *n1 *n2  *n3 *r214

              2   9   13   7              2   9   11   9
       + 4*a33 *m2 *n1  *n2 *r216 + 16*a33 *m2 *n1  *n2 *r216

               2   9   11   7   2              2   9   9   11
       + 12*a33 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m2 *n1 *n2  *r216

               2   9   9   9   2             2   9   9   7   4
       + 44*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

               2   9   7   13              2   9   7   11   2
       + 16*a33 *m2 *n1 *n2  *r216 + 60*a33 *m2 *n1 *n2  *n3 *r216

               2   9   7   9   4             2   9   5   15
       + 24*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2  *r216

               2   9   5   13   2              2   9   5   11   4
       + 36*a33 *m2 *n1 *n2  *n3 *r216 + 24*a33 *m2 *n1 *n2  *n3 *r216

              2   9   3   15   2             2   9   3   13   4
       + 8*a33 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m2 *n1 *n2  *n3 *r216

             9   16   4   2            9   16   2   4
       + 4*m1 *n1  *n2 *n3 *r496 - 8*m1 *n1  *n2 *n3 *r496

             9   14   6   2             9   14   4   4
       + 9*m1 *n1  *n2 *n3 *r496 - 18*m1 *n1  *n2 *n3 *r496

             9   12   8   2             9   12   6   4
       + 6*m1 *n1  *n2 *n3 *r496 - 12*m1 *n1  *n2 *n3 *r496

             9   10   10   2            9   10   8   4
       + 4*m1 *n1  *n2  *n3 *r496 - 8*m1 *n1  *n2 *n3 *r496

             9   8   12   2             9   8   10   4
       + 6*m1 *n1 *n2  *n3 *r496 - 12*m1 *n1 *n2  *n3 *r496

             9   6   14   2            9   6   12   4
       + 3*m1 *n1 *n2  *n3 *r496 - 6*m1 *n1 *n2  *n3 *r496

             8      17   5             8      17   3   2
       + 4*m1 *m2*n1  *n2 *r496 - 19*m1 *m2*n1  *n2 *n3 *r496

              8      17      4             8      15   7
       + 14*m1 *m2*n1  *n2*n3 *r496 + 13*m1 *m2*n1  *n2 *r496

              8      15   5   2             8      15   3   4
       - 22*m1 *m2*n1  *n2 *n3 *r496 - 34*m1 *m2*n1  *n2 *n3 *r496

              8      13   9             8      13   7   2
       + 15*m1 *m2*n1  *n2 *r496 + 21*m1 *m2*n1  *n2 *n3 *r496

               8      13   5   4             8      11   11
       - 132*m1 *m2*n1  *n2 *n3 *r496 + 10*m1 *m2*n1  *n2  *r496

              8      11   9   2             8      11   7   4
       + 14*m1 *m2*n1  *n2 *n3 *r496 - 88*m1 *m2*n1  *n2 *n3 *r496

              8      9   13             8      9   11   2
       + 10*m1 *m2*n1 *n2  *r496 - 19*m1 *m2*n1 *n2  *n3 *r496

              8      9   9   4            8      7   15
       - 22*m1 *m2*n1 *n2 *n3 *r496 + 9*m1 *m2*n1 *n2  *r496

              8      7   11   4            8      5   17
       - 54*m1 *m2*n1 *n2  *n3 *r496 + 3*m1 *m2*n1 *n2  *r496

             8      5   15   2             8      5   13   4
       + 9*m1 *m2*n1 *n2  *n3 *r496 - 36*m1 *m2*n1 *n2  *n3 *r496

              7   2   18   4             7   2   18   2   2
       - 11*m1 *m2 *n1  *n2 *r496 + 24*m1 *m2 *n1  *n2 *n3 *r496

             7   2   18   4             7   2   16   6
       - 6*m1 *m2 *n1  *n3 *r496 - 11*m1 *m2 *n1  *n2 *r496

              7   2   16   4   2              7   2   16   2   4
       - 68*m1 *m2 *n1  *n2 *n3 *r496 + 100*m1 *m2 *n1  *n2 *n3 *r496

              7   2   14   8              7   2   14   6   2
       + 42*m1 *m2 *n1  *n2 *r496 - 224*m1 *m2 *n1  *n2 *n3 *r496

              7   2   14   4   4             7   2   12   10
       + 28*m1 *m2 *n1  *n2 *n3 *r496 + 70*m1 *m2 *n1  *n2  *r496

              7   2   12   8   2              7   2   12   6   4
       - 96*m1 *m2 *n1  *n2 *n3 *r496 - 378*m1 *m2 *n1  *n2 *n3 *r496

              7   2   10   12             7   2   10   10   2
       + 25*m1 *m2 *n1  *n2  *r496 + 16*m1 *m2 *n1  *n2  *n3 *r496

               7   2   10   8   4            7   2   8   14
       - 302*m1 *m2 *n1  *n2 *n3 *r496 + 9*m1 *m2 *n1 *n2  *r496

              7   2   8   12   2             7   2   8   10   4
       - 92*m1 *m2 *n1 *n2  *n3 *r496 + 16*m1 *m2 *n1 *n2  *n3 *r496

              7   2   6   16             7   2   6   14   2
       + 24*m1 *m2 *n1 *n2  *r496 - 72*m1 *m2 *n1 *n2  *n3 *r496

              7   2   6   12   4             7   2   4   18
       - 72*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1 *n2  *r496

              7   2   4   14   4             6   3   19   3
       - 90*m1 *m2 *n1 *n2  *n3 *r496 + 10*m1 *m2 *n1  *n2 *r496

             6   3   19      2             6   3   17   5
       - 9*m1 *m2 *n1  *n2*n3 *r496 - 35*m1 *m2 *n1  *n2 *r496

               6   3   17   3   2             6   3   17      4
       + 144*m1 *m2 *n1  *n2 *n3 *r496 - 48*m1 *m2 *n1  *n2*n3 *r496

               6   3   15   7             6   3   15   5   2
       - 129*m1 *m2 *n1  *n2 *r496 + 71*m1 *m2 *n1  *n2 *n3 *r496

               6   3   15   3   4             6   3   13   9
       + 278*m1 *m2 *n1  *n2 *n3 *r496 - 32*m1 *m2 *n1  *n2 *r496

               6   3   13   7   2              6   3   13   5   4
       - 526*m1 *m2 *n1  *n2 *n3 *r496 + 422*m1 *m2 *n1  *n2 *n3 *r496

               6   3   11   11              6   3   11   9   2
       + 130*m1 *m2 *n1  *n2  *r496 - 489*m1 *m2 *n1  *n2 *n3 *r496

               6   3   11   7   4             6   3   9   13
       - 492*m1 *m2 *n1  *n2 *n3 *r496 + 45*m1 *m2 *n1 *n2  *r496

              6   3   9   11   2              6   3   9   9   4
       + 20*m1 *m2 *n1 *n2  *n3 *r496 - 628*m1 *m2 *n1 *n2 *n3 *r496

              6   3   7   15             6   3   7   13   2
       - 45*m1 *m2 *n1 *n2  *r496 - 55*m1 *m2 *n1 *n2  *n3 *r496

               6   3   7   11   4            6   3   5   17
       + 110*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n1 *n2  *r496

               6   3   5   15   2             6   3   5   13   4
       - 150*m1 *m2 *n1 *n2  *n3 *r496 + 30*m1 *m2 *n1 *n2  *n3 *r496

              6   3   3   19             6   3   3   17   2
       + 18*m1 *m2 *n1 *n2  *r496 - 30*m1 *m2 *n1 *n2  *n3 *r496

               6   3   3   15   4            5   4   20   2
       - 120*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1  *n2 *r496

              5   4   18   4             5   4   18   2   2
       + 51*m1 *m2 *n1  *n2 *r496 - 63*m1 *m2 *n1  *n2 *n3 *r496

              5   4   16   6              5   4   16   4   2
       + 30*m1 *m2 *n1  *n2 *r496 + 306*m1 *m2 *n1  *n2 *n3 *r496

               5   4   16   2   4              5   4   14   8
       - 162*m1 *m2 *n1  *n2 *n3 *r496 - 256*m1 *m2 *n1  *n2 *r496

               5   4   14   6   2              5   4   14   4   4
       + 664*m1 *m2 *n1  *n2 *n3 *r496 + 352*m1 *m2 *n1  *n2 *n3 *r496

               5   4   12   10              5   4   12   8   2
       - 283*m1 *m2 *n1  *n2  *r496 - 314*m1 *m2 *n1  *n2 *n3 *r496

                5   4   12   6   4             5   4   10   12
       + 1048*m1 *m2 *n1  *n2 *n3 *r496 + 87*m1 *m2 *n1  *n2  *r496

               5   4   10   10   2              5   4   10   8   4
       - 876*m1 *m2 *n1  *n2  *n3 *r496 - 138*m1 *m2 *n1  *n2 *n3 *r496

               5   4   8   14             5   4   8   12   2
       + 116*m1 *m2 *n1 *n2  *r496 - 62*m1 *m2 *n1 *n2  *n3 *r496

               5   4   8   10   4             5   4   6   16
       - 842*m1 *m2 *n1 *n2  *n3 *r496 - 70*m1 *m2 *n1 *n2  *r496

               5   4   6   14   2              5   4   6   12   4
       + 160*m1 *m2 *n1 *n2  *n3 *r496 + 100*m1 *m2 *n1 *n2  *n3 *r496

              5   4   4   18             5   4   4   16   2
       - 36*m1 *m2 *n1 *n2  *r496 - 90*m1 *m2 *n1 *n2  *n3 *r496

               5   4   4   14   4             5   4   2   20
       + 180*m1 *m2 *n1 *n2  *n3 *r496 + 12*m1 *m2 *n1 *n2  *r496

              5   4   2   18   2             5   4   2   16   4
       - 45*m1 *m2 *n1 *n2  *n3 *r496 - 90*m1 *m2 *n1 *n2  *n3 *r496

              4   5   19   3             4   5   17   5
       - 18*m1 *m2 *n1  *n2 *r496 + 84*m1 *m2 *n1  *n2 *r496

               4   5   17   3   2              4   5   15   7
       - 180*m1 *m2 *n1  *n2 *n3 *r496 + 230*m1 *m2 *n1  *n2 *r496

               4   5   15   5   2              4   5   15   3   4
       + 210*m1 *m2 *n1  *n2 *n3 *r496 - 300*m1 *m2 *n1  *n2 *n3 *r496

              4   5   13   9               4   5   13   7   2
       - 94*m1 *m2 *n1  *n2 *r496 + 1205*m1 *m2 *n1  *n2 *n3 *r496

               4   5   13   5   4              4   5   11   11
       + 110*m1 *m2 *n1  *n2 *n3 *r496 - 417*m1 *m2 *n1  *n2  *r496

               4   5   11   9   2               4   5   11   7   4
       + 524*m1 *m2 *n1  *n2 *n3 *r496 + 1262*m1 *m2 *n1  *n2 *n3 *r496

              4   5   9   13              4   5   9   11   2
       - 73*m1 *m2 *n1 *n2  *r496 - 741*m1 *m2 *n1 *n2  *n3 *r496

               4   5   9   9   4              4   5   7   15
       + 432*m1 *m2 *n1 *n2 *n3 *r496 + 164*m1 *m2 *n1 *n2  *r496

               4   5   7   13   2              4   5   7   11   4
       - 274*m1 *m2 *n1 *n2  *n3 *r496 - 712*m1 *m2 *n1 *n2  *n3 *r496

               4   5   5   15   2             4   5   5   13   4
       + 239*m1 *m2 *n1 *n2  *n3 *r496 - 58*m1 *m2 *n1 *n2  *n3 *r496

              4   5   3   19             4   5   3   17   2
       - 39*m1 *m2 *n1 *n2  *r496 + 36*m1 *m2 *n1 *n2  *n3 *r496

               4   5   3   15   4            4   5      21
       + 198*m1 *m2 *n1 *n2  *n3 *r496 + 3*m1 *m2 *n1*n2  *r496

              4   5      19   2             4   5      17   4
       - 27*m1 *m2 *n1*n2  *n3 *r496 - 36*m1 *m2 *n1*n2  *n3 *r496

              3   6   18   4             3   6   16   6
       - 42*m1 *m2 *n1  *n2 *r496 + 26*m1 *m2 *n1  *n2 *r496

               3   6   16   4   2              3   6   14   8
       - 270*m1 *m2 *n1  *n2 *n3 *r496 + 305*m1 *m2 *n1  *n2 *r496

               3   6   14   6   2              3   6   14   4   4
       - 180*m1 *m2 *n1  *n2 *n3 *r496 - 330*m1 *m2 *n1  *n2 *n3 *r496

               3   6   12   10              3   6   12   8   2
       + 213*m1 *m2 *n1  *n2  *r496 + 916*m1 *m2 *n1  *n2 *n3 *r496

               3   6   12   6   4              3   6   10   12
       - 236*m1 *m2 *n1  *n2 *n3 *r496 - 220*m1 *m2 *n1  *n2  *r496

               3   6   10   10   2              3   6   10   8   4
       + 988*m1 *m2 *n1  *n2  *n3 *r496 + 796*m1 *m2 *n1  *n2 *n3 *r496

               3   6   8   14              3   6   8   12   2
       - 172*m1 *m2 *n1 *n2  *r496 - 204*m1 *m2 *n1 *n2  *n3 *r496

               3   6   8   10   4             3   6   6   16
       + 618*m1 *m2 *n1 *n2  *n3 *r496 + 81*m1 *m2 *n1 *n2  *r496

               3   6   6   14   2              3   6   6   12   4
       - 356*m1 *m2 *n1 *n2  *n3 *r496 - 338*m1 *m2 *n1 *n2  *n3 *r496

              3   6   4   18             3   6   4   16   2
       + 45*m1 *m2 *n1 *n2  *r496 + 76*m1 *m2 *n1 *n2  *n3 *r496

               3   6   4   14   4             3   6   2   20
       - 152*m1 *m2 *n1 *n2  *n3 *r496 - 12*m1 *m2 *n1 *n2  *r496

              3   6   2   18   2             3   6   2   16   4
       + 60*m1 *m2 *n1 *n2  *n3 *r496 + 96*m1 *m2 *n1 *n2  *n3 *r496

             3   6   20   2            3   6   18   4
       - 6*m1 *m2 *n2  *n3 *r496 - 6*m1 *m2 *n2  *n3 *r496

              2   7   17   5             2   7   15   7
       - 48*m1 *m2 *n1  *n2 *r496 - 66*m1 *m2 *n1  *n2 *r496

               2   7   15   5   2              2   7   13   9
       - 225*m1 *m2 *n1  *n2 *n3 *r496 + 129*m1 *m2 *n1  *n2 *r496

               2   7   13   7   2              2   7   13   5   4
       - 396*m1 *m2 *n1  *n2 *n3 *r496 - 216*m1 *m2 *n1  *n2 *n3 *r496

               2   7   11   11              2   7   11   9   2
       + 235*m1 *m2 *n1  *n2  *r496 + 197*m1 *m2 *n1  *n2 *n3 *r496

               2   7   11   7   4             2   7   9   13
       - 310*m1 *m2 *n1  *n2 *n3 *r496 + 10*m1 *m2 *n1 *n2  *r496

               2   7   9   11   2              2   7   9   9   4
       + 626*m1 *m2 *n1 *n2  *n3 *r496 + 218*m1 *m2 *n1 *n2 *n3 *r496

               2   7   7   15              2   7   7   13   2
       - 108*m1 *m2 *n1 *n2  *r496 + 129*m1 *m2 *n1 *n2  *n3 *r496

               2   7   7   11   4             2   7   5   17
       + 372*m1 *m2 *n1 *n2  *n3 *r496 - 11*m1 *m2 *n1 *n2  *r496

               2   7   5   15   2             2   7   5   13   4
       - 184*m1 *m2 *n1 *n2  *n3 *r496 - 52*m1 *m2 *n1 *n2  *n3 *r496

              2   7   3   19             2   7   3   17   2
       + 19*m1 *m2 *n1 *n2  *r496 - 37*m1 *m2 *n1 *n2  *n3 *r496

              2   7   3   15   4             2   7      19   2
       - 94*m1 *m2 *n1 *n2  *n3 *r496 + 18*m1 *m2 *n1*n2  *n3 *r496

              2   7      17   4                8   16   6
       + 18*m1 *m2 *n1*n2  *n3 *r496 - 27*m1*m2 *n1  *n2 *r496

                 8   14   8                8   14   6   2
       - 69*m1*m2 *n1  *n2 *r496 - 99*m1*m2 *n1  *n2 *n3 *r496

                 8   12   10                 8   12   8   2
       - 20*m1*m2 *n1  *n2  *r496 - 246*m1*m2 *n1  *n2 *n3 *r496

                 8   12   6   4                8   10   12
       - 78*m1*m2 *n1  *n2 *n3 *r496 + 70*m1*m2 *n1  *n2  *r496

                  8   10   10   2                 8   10   8   4
       - 104*m1*m2 *n1  *n2  *n3 *r496 - 152*m1*m2 *n1  *n2 *n3 *r496

                 8   8   14                 8   8   12   2
       + 45*m1*m2 *n1 *n2  *r496 + 154*m1*m2 *n1 *n2  *n3 *r496

                8   8   10   4                8   6   16
       - 8*m1*m2 *n1 *n2  *n3 *r496 - 17*m1*m2 *n1 *n2  *r496

                  8   6   14   2                 8   6   12   4
       + 111*m1*m2 *n1 *n2  *n3 *r496 + 108*m1*m2 *n1 *n2  *n3 *r496

                 8   4   18                8   4   16   2
       - 14*m1*m2 *n1 *n2  *r496 - 20*m1*m2 *n1 *n2  *n3 *r496

                 8   4   14   4                8   2   18   2
       + 22*m1*m2 *n1 *n2  *n3 *r496 - 20*m1*m2 *n1 *n2  *n3 *r496

                 8   2   16   4            9   15   7
       - 20*m1*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1  *n2 *r496

              9   13   9             9   13   7   2             9   11   11
       - 20*m2 *n1  *n2 *r496 - 18*m2 *n1  *n2 *n3 *r496 - 20*m2 *n1  *n2  *r496

              9   11   9   2             9   11   7   4
       - 54*m2 *n1  *n2 *n3 *r496 - 12*m2 *n1  *n2 *n3 *r496

              9   9   11   2             9   9   9   4
       - 46*m2 *n1 *n2  *n3 *r496 - 28*m2 *n1 *n2 *n3 *r496

              9   7   15            9   7   13   2
       + 10*m2 *n1 *n2  *r496 + 6*m2 *n1 *n2  *n3 *r496

              9   7   11   4            9   5   17
       - 12*m2 *n1 *n2  *n3 *r496 + 4*m2 *n1 *n2  *r496

              9   5   15   2             9   5   13   4
       + 24*m2 *n1 *n2  *n3 *r496 + 12*m2 *n1 *n2  *n3 *r496

             9   3   17   2            9   3   15   4
       + 8*m2 *n1 *n2  *n3 *r496 + 8*m2 *n1 *n2  *n3 *r496)/(

           9   14   5   2           9   14   3   4           9   12   7   2
   4*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1  *n2 *n3  + 8*a33*m1 *n1  *n2 *n3

               9   12   5   4           9   8   11   2            9   8   9   4
    - 16*a33*m1 *n1  *n2 *n3  - 8*a33*m1 *n1 *n2  *n3  + 16*a33*m1 *n1 *n2 *n3

              9   6   13   2           9   6   11   4           8      15   6
    - 4*a33*m1 *n1 *n2  *n3  + 8*a33*m1 *n1 *n2  *n3  + 4*a33*m1 *m2*n1  *n2

               8      15   4   2            8      15   2   4
    - 24*a33*m1 *m2*n1  *n2 *n3  + 24*a33*m1 *m2*n1  *n2 *n3

               8      13   8            8      13   6   2
    + 12*a33*m1 *m2*n1  *n2  - 36*a33*m1 *m2*n1  *n2 *n3

              8      11   10            8      11   8   2
    + 8*a33*m1 *m2*n1  *n2   + 24*a33*m1 *m2*n1  *n2 *n3

               8      11   6   4           8      9   12
    - 96*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1 *n2

               8      9   10   2            8      9   8   4
    + 48*a33*m1 *m2*n1 *n2  *n3  - 48*a33*m1 *m2*n1 *n2 *n3

               8      7   14            8      7   10   4
    - 12*a33*m1 *m2*n1 *n2   + 72*a33*m1 *m2*n1 *n2  *n3

              8      5   16            8      5   14   2
    - 4*a33*m1 *m2*n1 *n2   - 12*a33*m1 *m2*n1 *n2  *n3

               8      5   12   4            7   2   16   5
    + 48*a33*m1 *m2*n1 *n2  *n3  - 16*a33*m1 *m2 *n1  *n2

               7   2   16   3   2            7   2   16      4
    + 48*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

               7   2   14   7            7   2   14   3   4
    - 32*a33*m1 *m2 *n1  *n2  + 96*a33*m1 *m2 *n1  *n2 *n3

               7   2   12   9             7   2   12   7   2
    + 16*a33*m1 *m2 *n1  *n2  - 192*a33*m1 *m2 *n1  *n2 *n3

                7   2   12   5   4            7   2   10   11
    + 168*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2

               7   2   10   9   2             7   2   10   7   4
    - 96*a33*m1 *m2 *n1  *n2 *n3  - 192*a33*m1 *m2 *n1  *n2 *n3

               7   2   8   13             7   2   8   11   2
    + 16*a33*m1 *m2 *n1 *n2   + 144*a33*m1 *m2 *n1 *n2  *n3

                7   2   8   9   4            7   2   6   15
    - 264*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               7   2   6   13   2            7   2   6   11   4
    + 96*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2  *n3

               7   2   4   17             7   2   4   13   4
    - 16*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

               6   3   17   4            6   3   17   2   2
    + 24*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2 *n3

              6   3   17   4           6   3   15   6
    + 8*a33*m1 *m2 *n1  *n3  + 8*a33*m1 *m2 *n1  *n2

                6   3   15   4   2             6   3   15   2   4
    + 136*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                6   3   13   8             6   3   13   6   2
    - 120*a33*m1 *m2 *n1  *n2  + 312*a33*m1 *m2 *n1  *n2 *n3

               6   3   13   4   4             6   3   11   10
    + 72*a33*m1 *m2 *n1  *n2 *n3  - 104*a33*m1 *m2 *n1  *n2

                6   3   11   8   2             6   3   11   6   4
    - 200*a33*m1 *m2 *n1  *n2 *n3  + 544*a33*m1 *m2 *n1  *n2 *n3

                6   3   9   12             6   3   9   10   2
    + 104*a33*m1 *m2 *n1 *n2   - 472*a33*m1 *m2 *n1 *n2  *n3

               6   3   9   8   4             6   3   7   14
    - 40*a33*m1 *m2 *n1 *n2 *n3  + 120*a33*m1 *m2 *n1 *n2

               6   3   7   12   2             6   3   7   10   4
    + 24*a33*m1 *m2 *n1 *n2  *n3  - 576*a33*m1 *m2 *n1 *n2  *n3

              6   3   5   16             6   3   5   14   2
    - 8*a33*m1 *m2 *n1 *n2   + 200*a33*m1 *m2 *n1 *n2  *n3

               6   3   5   12   4            6   3   3   18
    - 40*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2

               6   3   3   16   2             6   3   3   14   4
    + 40*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

               5   4   18   3            5   4   18      2
    - 16*a33*m1 *m2 *n1  *n2  + 12*a33*m1 *m2 *n1  *n2*n3

               5   4   16   5             5   4   16   3   2
    + 48*a33*m1 *m2 *n1  *n2  - 168*a33*m1 *m2 *n1  *n2 *n3

               5   4   16      4             5   4   14   7
    + 48*a33*m1 *m2 *n1  *n2*n3  + 160*a33*m1 *m2 *n1  *n2

               5   4   14   5   2             5   4   14   3   4
    - 24*a33*m1 *m2 *n1  *n2 *n3  - 264*a33*m1 *m2 *n1  *n2 *n3

               5   4   12   9             5   4   12   7   2
    - 48*a33*m1 *m2 *n1  *n2  + 696*a33*m1 *m2 *n1  *n2 *n3

                5   4   12   5   4             5   4   10   11
    - 240*a33*m1 *m2 *n1  *n2 *n3  - 288*a33*m1 *m2 *n1  *n2

                5   4   10   9   2             5   4   10   7   4
    + 312*a33*m1 *m2 *n1  *n2 *n3  + 744*a33*m1 *m2 *n1  *n2 *n3

               5   4   8   13             5   4   8   11   2
    - 48*a33*m1 *m2 *n1 *n2   - 648*a33*m1 *m2 *n1 *n2  *n3

                5   4   8   9   4             5   4   6   15
    + 432*a33*m1 *m2 *n1 *n2 *n3  + 160*a33*m1 *m2 *n1 *n2

                5   4   6   13   2             5   4   6   11   4
    - 360*a33*m1 *m2 *n1 *n2  *n3  - 600*a33*m1 *m2 *n1 *n2  *n3

               5   4   4   17             5   4   4   15   2
    + 48*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

                5   4   4   13   4            5   4   2   19
    - 240*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1 *n2

               5   4   2   17   2             5   4   2   15   4
    + 60*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

              4   5   19   2            4   5   17   4
    + 4*a33*m1 *m2 *n1  *n2  - 52*a33*m1 *m2 *n1  *n2

               4   5   17   2   2            4   5   15   6
    + 60*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2

                4   5   15   4   2             4   5   15   2   4
    - 240*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   8             4   5   13   6   2
    + 232*a33*m1 *m2 *n1  *n2  - 480*a33*m1 *m2 *n1  *n2 *n3

                4   5   13   4   4             4   5   11   10
    - 240*a33*m1 *m2 *n1  *n2 *n3  + 216*a33*m1 *m2 *n1  *n2

                4   5   11   8   2             4   5   11   6   4
    + 480*a33*m1 *m2 *n1  *n2 *n3  - 600*a33*m1 *m2 *n1  *n2 *n3

                4   5   9   12             4   5   9   10   2
    - 216*a33*m1 *m2 *n1 *n2   + 864*a33*m1 *m2 *n1 *n2  *n3

                4   5   9   8   4             4   5   7   14
    + 432*a33*m1 *m2 *n1 *n2 *n3  - 232*a33*m1 *m2 *n1 *n2

                4   5   7   12   2             4   5   7   10   4
    - 192*a33*m1 *m2 *n1 *n2  *n3  + 744*a33*m1 *m2 *n1 *n2  *n3

               4   5   5   16             4   5   5   14   2
    + 40*a33*m1 *m2 *n1 *n2   - 480*a33*m1 *m2 *n1 *n2  *n3

                4   5   5   12   4            4   5   3   18
    - 240*a33*m1 *m2 *n1 *n2  *n3  + 52*a33*m1 *m2 *n1 *n2

               4   5   3   16   2             4   5   3   14   4
    - 48*a33*m1 *m2 *n1 *n2  *n3  - 264*a33*m1 *m2 *n1 *n2  *n3

              4   5      20            4   5      18   2
    - 4*a33*m1 *m2 *n1*n2   + 36*a33*m1 *m2 *n1*n2  *n3

               4   5      16   4            3   6   18   3
    + 48*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1 *m2 *n1  *n2

               3   6   16   5             3   6   16   3   2
    - 48*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                3   6   14   7            3   6   14   5   2
    - 160*a33*m1 *m2 *n1  *n2  - 80*a33*m1 *m2 *n1  *n2 *n3

                3   6   14   3   4            3   6   12   9
    + 160*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2

                3   6   12   7   2            3   6   12   5   4
    - 640*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   11             3   6   10   9   2
    + 288*a33*m1 *m2 *n1  *n2   - 144*a33*m1 *m2 *n1  *n2 *n3

                3   6   10   7   4            3   6   8   13
    - 576*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1 *n2

                3   6   8   11   2            3   6   8   9   4
    + 704*a33*m1 *m2 *n1 *n2  *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

                3   6   6   15             3   6   6   13   2
    - 160*a33*m1 *m2 *n1 *n2   + 304*a33*m1 *m2 *n1 *n2  *n3

                3   6   6   11   4            3   6   4   17
    + 544*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2

                3   6   4   15   2            3   6   4   13   4
    - 192*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

               3   6   2   19            3   6   2   17   2
    + 16*a33*m1 *m2 *n1 *n2   - 80*a33*m1 *m2 *n1 *n2  *n3

                3   6   2   15   4           3   6   19   2
    - 128*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

              3   6   17   4            2   7   17   4           2   7   15   6
    + 8*a33*m1 *m2 *n2  *n3  + 24*a33*m1 *m2 *n1  *n2  + 8*a33*m1 *m2 *n1  *n2

                2   7   15   4   2             2   7   13   8
    + 120*a33*m1 *m2 *n1  *n2 *n3  - 120*a33*m1 *m2 *n1  *n2

                2   7   13   6   2             2   7   13   4   4
    + 120*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                2   7   11   10             2   7   11   8   2
    - 104*a33*m1 *m2 *n1  *n2   - 312*a33*m1 *m2 *n1  *n2 *n3

               2   7   11   6   4             2   7   9   12
    + 96*a33*m1 *m2 *n1  *n2 *n3  + 104*a33*m1 *m2 *n1 *n2

                2   7   9   10   2             2   7   9   8   4
    - 360*a33*m1 *m2 *n1 *n2  *n3  - 264*a33*m1 *m2 *n1 *n2 *n3

                2   7   7   14             2   7   7   12   2
    + 120*a33*m1 *m2 *n1 *n2   + 168*a33*m1 *m2 *n1 *n2  *n3

                2   7   7   10   4           2   7   5   16
    - 192*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2

                2   7   5   14   2             2   7   5   12   4
    + 264*a33*m1 *m2 *n1 *n2  *n3  + 168*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   18            2   7   3   16   2
    - 24*a33*m1 *m2 *n1 *n2   + 24*a33*m1 *m2 *n1 *n2  *n3

               2   7   3   14   4            2   7      18   2
    + 96*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

               2   7      16   4               8   16   5
    - 24*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1*m2 *n1  *n2

                  8   14   7               8   14   5   2
    + 32*a33*m1*m2 *n1  *n2  + 60*a33*m1*m2 *n1  *n2 *n3

                  8   12   9                8   12   7   2
    - 16*a33*m1*m2 *n1  *n2  + 120*a33*m1*m2 *n1  *n2 *n3

                  8   12   5   4               8   10   11
    + 48*a33*m1*m2 *n1  *n2 *n3  - 64*a33*m1*m2 *n1  *n2

                  8   10   9   2               8   10   7   4
    - 24*a33*m1*m2 *n1  *n2 *n3  + 72*a33*m1*m2 *n1  *n2 *n3

                  8   8   13                8   8   11   2
    - 16*a33*m1*m2 *n1 *n2   - 168*a33*m1*m2 *n1 *n2  *n3

                  8   8   9   4               8   6   15
    - 48*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2

                  8   6   13   2               8   6   11   4
    - 60*a33*m1*m2 *n1 *n2  *n3  - 96*a33*m1*m2 *n1 *n2  *n3

                  8   4   17               8   4   15   2
    + 16*a33*m1*m2 *n1 *n2   + 48*a33*m1*m2 *n1 *n2  *n3

                  8   2   17   2               8   2   15   4
    + 24*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

              9   15   6            9   13   8            9   13   6   2
    + 4*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2  + 12*a33*m2 *n1  *n2 *n3

              9   11   10            9   11   8   2           9   11   6   4
    + 8*a33*m2 *n1  *n2   + 32*a33*m2 *n1  *n2 *n3  + 8*a33*m2 *n1  *n2 *n3

              9   9   12            9   9   10   2            9   9   8   4
    - 8*a33*m2 *n1 *n2   + 16*a33*m2 *n1 *n2  *n3  + 16*a33*m2 *n1 *n2 *n3

               9   7   14            9   7   12   2           9   5   16
    - 12*a33*m2 *n1 *n2   - 24*a33*m2 *n1 *n2  *n3  - 4*a33*m2 *n1 *n2

               9   5   14   2            9   5   12   4           9   3   16   2
    - 28*a33*m2 *n1 *n2  *n3  - 16*a33*m2 *n1 *n2  *n3  - 8*a33*m2 *n1 *n2  *n3

              9   3   14   4
    - 8*a33*m2 *n1 *n2  *n3 )


           2   6   6   4   3             2   6   6   2   5
r353=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   3             2   6   4   4   5
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5                 2   5      7   3   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      5             2   5      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *n3*r214

               2   5      5   5   3              2   5      5   3   5
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9                2   5      3   7   3
       + 4*a33 *m1 *m2*n1 *n2 *n3*r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   5             2   5   8   3   3
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      5             2   5   6   5   3
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   5             2   5   4   7   3
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   5              2   4   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   8   2   3             2   4   2   8   5
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6                 2   4   2   6   4   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   5             2   4   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   4   2   4   6   3              2   4   2   4   4   5
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10                 2   4   2   2   8   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3*r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   5             2   4      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      9   2   3             2   4      9   5
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6                 2   4      7   4   3
       + 6*a33 *m1 *m2*n1 *n2 *n3*r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   5             2   4      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *n3*r216

              2   4      5   6   3              2   4      5   4   5
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10                2   4      3   8   3
       + 2*a33 *m1 *m2*n1 *n2  *n3*r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   5              2   3   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   9      3              2   3   3   7   3   3
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      5              2   3   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3*r214

               2   3   3   5   5   3              2   3   3   5   3   5
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9                 2   3   3   3   7   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   5             2   3   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *n3*r214

               2   3   3      9   3              2   3   3      7   5
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3                2   3   2   10      3
       - 4*a33 *m1 *m2 *n1  *n2 *n3*r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5                2   3   2   8   3   3
       - 8*a33 *m1 *m2 *n1 *n2 *n3*r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      5              2   3   2   6   5   3
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   5             2   3   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   3   2   4   7   3              2   3   2   4   5   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11                2   3   2   2   9   3
       + 4*a33 *m1 *m2 *n1 *n2  *n3*r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   5             2   2   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *n3*r214

               2   2   4   8   4                 2   2   4   8   2   3
       + 16*a33 *m1 *m2 *n1 *n2 *n3*r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6                 2   2   4   6   4   3
       + 32*a33 *m1 *m2 *n1 *n2 *n3*r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   5              2   2   4   4   6   3
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   5              2   2   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *n3*r214

               2   2   4   2   8   3              2   2   4   2   6   5
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   3             2   2   4   8   5
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2                2   2   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *n3*r216 - 2*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   9   2   3              2   2   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3*r216

               2   2   3   7   4   3              2   2   3   7   2   5
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8                 2   2   3   5   6   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3*r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   5             2   2   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *n3*r216

               2   2   3   3   8   3             2   2   3   3   6   5
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12                 2   2   3      10   3
       + 2*a33 *m1 *m2 *n1*n2  *n3*r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   5             2      5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r214

              2      5   7   5                 2      5   7   3   3
       - 4*a33 *m1*m2 *n1 *n2 *n3*r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7                 2      5   5   5   3
       + 16*a33 *m1*m2 *n1 *n2 *n3*r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   5              2      5   3   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *n3*r214

               2      5   3   7   3              2      5   3   5   5
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   3              2      5      7   5
       + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3                2      4   8   5
       + 4*a33 *m1*m2 *n1  *n2 *n3*r216 + 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   8   3   3              2      4   6   5   3
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   5             2      4   4   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *n3*r216

               2      4   4   7   3              2      4   4   5   5
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11                2      4   2   9   3
       - 4*a33 *m1*m2 *n1 *n2  *n3*r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   5             2      4   11   3
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   5             2   6   8   4
       - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *n3*r214

              2   6   6   6                 2   6   6   4   3
       - 8*a33 *m2 *n1 *n2 *n3*r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8                 2   6   4   6   3
       - 4*a33 *m2 *n1 *n2 *n3*r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   5             2   6   2   8   3
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   5             2   5   9   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *n3*r216

              2   5   7   6                2   5   7   4   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8                 2   5   5   6   3
       + 6*a33 *m2 *n1 *n2 *n3*r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   5             2   5   3   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *n3*r216

               2   5   3   8   3             2   5   3   6   5
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   3             2   5      8   5
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

           5   8   5   3            5   8   3   5            5   6   7   3
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   6   5   5          5   4   9   3            5   4   7   5
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      11   2   3            4      11   5
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

           4      9   6             4      9   4   3
       + m1 *m2*n1 *n2 *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

             4      9   2   5            4      7   8
       - 4*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *n3*r496

             4      7   6   3             4      7   4   5
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      5   10             4      5   8   3
       + 3*m1 *m2*n1 *n2  *n3*r496 - m1 *m2*n1 *n2 *n3 *r496

              4      5   6   5          4      3   12
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *n3*r496

           4      3   10   3            4      3   8   5
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   3               3   2   12      3
       + m1 *m2 *n1  *n2 *n3*r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5               3   2   10   3   3
       + 2*m1 *m2 *n1  *n2 *n3*r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      5            3   2   8   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1 *n2 *n3*r496

              3   2   8   5   3             3   2   8   3   5
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   9                3   2   6   7   3
       + 4*m1 *m2 *n1 *n2 *n3*r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   5            3   2   4   11
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *n3*r496

              3   2   4   9   3             3   2   4   7   5
       - 15*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13               3   2   2   11   3
       + 2*m1 *m2 *n1 *n2  *n3*r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   5          2   3   13   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *n3*r496

           2   3   11   4               2   3   11   2   3
       - m1 *m2 *n1  *n2 *n3*r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   9   6                2   3   9   4   3
       + m1 *m2 *n1 *n2 *n3*r496 - 21*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   5             2   3   7   6   3
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   5          2   3   5   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *n3*r496

              2   3   5   8   3             2   3   5   6   5
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   3   12                2   3   3   10   3
       + m1 *m2 *n1 *n2  *n3*r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   5          2   3      14
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *n3*r496

             2   3      12   3            2   3      10   5
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3                  4   10   5
       - 2*m1*m2 *n1  *n2 *n3*r496 - 5*m1*m2 *n1  *n2 *n3*r496

                4   10   3   3               4   8   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *n3*r496

                 4   8   5   3               4   8   3   5
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   6   9                   4   6   7   3
       - 2*m1*m2 *n1 *n2 *n3*r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   6   5   5               4   4   11
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *n3*r496

                 4   4   9   3                4   4   7   5
       - 13*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   2   13                  4   2   11   3
       - m1*m2 *n1 *n2  *n3*r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   2   9   5               4   13   3
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   11   5          5   11   4               5   9   6
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *n3*r496 - 3*m2 *n1 *n2 *n3*r496

             5   9   4   3            5   7   8               5   7   6   3
       - 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *n3*r496 - 8*m2 *n1 *n2 *n3 *r496

             5   7   4   5          5   5   10               5   5   8   3
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *n3*r496 - 7*m2 *n1 *n2 *n3 *r496

             5   5   6   5            5   3   10   3
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   3   8   5                6   8   4   2           6   8   2   4
       - 2*m2 *n1 *n2 *n3 *r496)/(4*a33*m1 *n1 *n2 *n3  - 8*a33*m1 *n1 *n2 *n3

              6   4   8   2           6   4   6   4           5      9   5
    - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1 *n2

               5      9   3   2            5      9      4
    - 20*a33*m1 *m2*n1 *n2 *n3  + 16*a33*m1 *m2*n1 *n2*n3

              5      7   7           5      7   5   2
    + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


           2   6   6   5   2             2   6   6   3   4
r354=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   7   2             2   6   4   5   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   6              2   5      7   4   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7   2   4             2   5      5   8
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      5   6   2              2   5      5   4   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   10             2   5      3   8   2
       + 4*a33 *m1 *m2*n1 *n2  *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   6   4             2   5   8   4   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8   2   4             2   5   6   6   2
       - 4*a33 *m1 *n1 *n2 *n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   4   4             2   5   4   8   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   6   4              2   4   2   8   5
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   8   3   2             2   4   2   8      4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n2*n3 *r214

               2   4   2   6   7              2   4   2   6   5   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   3   4             2   4   2   4   9
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   4   7   2              2   4   2   4   5   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   11              2   4   2   2   9   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   7   4             2   4      9   5
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

              2   4      9   3   2             2   4      9      4
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n2*n3 *r216

              2   4      7   7              2   4      7   5   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   3   4             2   4      5   9
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      5   7   2              2   4      5   5   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   11             2   4      3   9   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   7   4              2   3   3   9   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   9   2   2              2   3   3   7   4   2
       - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7   2   4              2   3   3   5   8
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   5   6   2              2   3   3   5   4   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   10              2   3   3   3   8   2
       - 16*a33 *m1 *m2 *n1 *n2  *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   6   4             2   3   3      12
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   3      10   2              2   3   3      8   4
       - 20*a33 *m1 *m2 *n1*n2  *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   4             2   3   2   10   2   2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

              2   3   2   8   6             2   3   2   8   4   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8   2   4              2   3   2   6   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   4   4             2   3   2   4   10
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2  *r216

               2   3   2   4   8   2              2   3   2   4   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   12             2   3   2   2   10   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   2   2   8   4             2   2   4   10   3
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   8   5              2   2   4   8   3   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   7              2   2   4   6   5   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   3   4              2   2   4   4   7   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   5   4              2   2   4   2   11
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   2   9   2              2   2   4   2   7   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   11   2             2   2   4   9   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   3             2   2   3   9   5
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   9   3   2              2   2   3   7   7
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   7   5   2              2   2   3   7   3   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   9              2   2   3   5   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   5   4             2   2   3   3   11
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   3   9   2             2   2   3   3   7   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      13              2   2   3      11   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      9   4             2      5   9   4
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   6              2      5   7   4   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   8              2      5   5   6   2
       + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   4   4              2      5   3   10
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2  *r214

               2      5   3   8   2              2      5   3   6   4
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      10   2              2      5      8   4
       + 16*a33 *m1*m2 *n1*n2  *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   4             2      4   8   6
       + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   4   2              2      4   6   6   2
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   4   4             2      4   4   10
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2  *r216

               2      4   4   8   2              2      4   4   6   4
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   12             2      4   2   10   2
       - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2  *n3 *r216

              2      4   2   8   4             2      4   12   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   10   4             2   6   8   5
       - 4*a33 *m1*m2 *n2  *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

              2   6   6   7              2   6   6   5   2
       - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   9              2   6   4   7   2
       - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   5   4             2   6   2   9   2
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   7   4             2   5   9   5
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *r216

              2   5   7   7             2   5   7   5   2
       + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   9              2   5   5   7   2
       + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   5   4             2   5   3   11
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   5   3   9   2             2   5   3   7   4
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      11   2             2   5      9   4
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

           5   8   6   2            5   8   4   4            5   6   8   2
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   6   6   4          5   4   10   2            5   4   8   4
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2  *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      11   3   2            4      11      4
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n2*n3 *r496

           4      9   7          4      9   5   2
       + m1 *m2*n1 *n2 *r496 - m1 *m2*n1 *n2 *n3 *r496

             4      9   3   4            4      7   9
       - 4*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

             4      7   7   2             4      7   5   4
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      5   11          4      5   9   2
       + 3*m1 *m2*n1 *n2  *r496 - m1 *m2*n1 *n2 *n3 *r496

              4      5   7   4          4      3   13
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           4      3   11   2            4      3   9   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   12   4            3   2   12   2   2
       + m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   6            3   2   10   4   2
       + 2*m1 *m2 *n1  *n2 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10   2   4            3   2   8   8
       - 8*m1 *m2 *n1  *n2 *n3 *r496 + 2*m1 *m2 *n1 *n2 *r496

              3   2   8   6   2             3   2   8   4   4
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   10             3   2   6   8   2
       + 4*m1 *m2 *n1 *n2  *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   6   4            3   2   4   12
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *r496

              3   2   4   10   2             3   2   4   8   4
       - 15*m1 *m2 *n1 *n2  *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   14            3   2   2   12   2
       + 2*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   10   4          2   3   13   3
       - 12*m1 *m2 *n1 *n2  *n3 *r496 - m1 *m2 *n1  *n2 *r496

           2   3   11   5            2   3   11   3   2
       - m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   9   7             2   3   9   5   2
       + m1 *m2 *n1 *n2 *r496 - 21*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   3   4             2   3   7   7   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   5   4          2   3   5   11
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

              2   3   5   9   2             2   3   5   7   4
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   3   13             2   3   3   11   2
       + m1 *m2 *n1 *n2  *r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   9   4          2   3      15
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *r496

             2   3      13   2            2   3      11   4
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   4               4   10   6
       - 2*m1*m2 *n1  *n2 *r496 - 5*m1*m2 *n1  *n2 *r496

                4   10   4   2               4   8   8
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *r496

                 4   8   6   2               4   8   4   4
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   6   10                4   6   8   2
       - 2*m1*m2 *n1 *n2  *r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   6   6   4               4   4   12
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *r496

                 4   4   10   2                4   4   8   4
       - 13*m1*m2 *n1 *n2  *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   2   14               4   2   12   2
       - m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   2   10   4               4   14   2
       - 4*m1*m2 *n1 *n2  *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   12   4          5   11   5            5   9   7
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *r496 - 3*m2 *n1 *n2 *r496

             5   9   5   2            5   7   9            5   7   7   2
       - 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 - 8*m2 *n1 *n2 *n3 *r496

             5   7   5   4          5   5   11            5   5   9   2
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *r496 - 7*m2 *n1 *n2 *n3 *r496

             5   5   7   4            5   3   11   2
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   3   9   4                6   8   4   2           6   8   2   4
       - 2*m2 *n1 *n2 *n3 *r496)/(4*a33*m1 *n1 *n2 *n3  - 8*a33*m1 *n1 *n2 *n3

              6   4   8   2           6   4   6   4           5      9   5
    - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1 *n2

               5      9   3   2            5      9      4
    - 20*a33*m1 *m2*n1 *n2 *n3  + 16*a33*m1 *m2*n1 *n2*n3

              5      7   7           5      7   5   2
    + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


           2   6   7   4   2             2   6   7   2   4
r355=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   5   6   2             2   6   5   4   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      8   5              2   5      8   3   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      8      4             2   5      6   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      6   5   2              2   5      6   3   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      4   9             2   5      4   7   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      4   5   4             2   5   9   3   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   9      4             2   5   7   5   2
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   7   3   4             2   5   5   7   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   5   5   4              2   4   2   9   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   9   2   2             2   4   2   9   4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   7   6              2   4   2   7   4   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   7   2   4             2   4   2   5   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   5   6   2              2   4   2   5   4   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   3   10              2   4   2   3   8   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   3   6   4             2   4      10   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1  *n2 *r216

              2   4      10   2   2             2   4      10   4
       - 8*a33 *m1 *m2*n1  *n2 *n3 *r216 + 4*a33 *m1 *m2*n1  *n3 *r216

              2   4      8   6              2   4      8   4   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      8   2   4             2   4      6   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      6   6   2              2   4      6   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      4   10             2   4      4   8   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      4   6   4              2   3   3   10   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1  *n2 *r214

               2   3   3   10      2              2   3   3   8   3   2
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   8      4              2   3   3   6   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   6   5   2              2   3   3   6   3   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   9              2   3   3   4   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   4   5   4             2   3   3   2   11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2  *r214

               2   3   3   2   9   2              2   3   3   2   7   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   2   11   3             2   3   2   11      2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   9   5             2   3   2   9   3   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   9      4              2   3   2   7   5   2
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   7   3   4             2   3   2   5   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   5   7   2              2   3   2   5   5   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   3   11             2   3   2   3   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   3   7   4             2   2   4   11   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   9   4              2   2   4   9   2   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   6              2   2   4   7   4   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   7   2   4              2   2   4   5   6   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   5   4   4              2   2   4   3   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   3   8   2              2   2   4   3   6   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4      10   2             2   2   4      8   4
       - 8*a33 *m1 *m2 *n1*n2  *n3 *r214 - 8*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   2   3   12   2             2   2   3   10   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1  *n2 *r216

               2   2   3   10   2   2              2   2   3   8   6
       + 18*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   8   4   2              2   2   3   8   2   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   8              2   2   3   6   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   6   4   4             2   2   3   4   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   4   8   2             2   2   3   4   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   2   12              2   2   3   2   10   2
       + 2*a33 *m1 *m2 *n1 *n2  *r216 - 10*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   3   2   8   4             2      5   10   3
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1  *n2 *r214

              2      5   8   5              2      5   8   3   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   7              2      5   6   5   2
       + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   6   3   4              2      5   4   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *r214

               2      5   4   7   2              2      5   4   5   4
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   2   9   2              2      5   2   7   4
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      4   11   3             2      4   9   5
       + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   9   3   2              2      4   7   5   2
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   7   3   4             2      4   5   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   5   7   2              2      4   5   5   4
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   11             2      4   3   9   2
       - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   3   7   4             2      4      11   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1*n2  *n3 *r216

              2      4      9   4             2   6   9   4
       - 4*a33 *m1*m2 *n1*n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

              2   6   7   6              2   6   7   4   2
       - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   8              2   6   5   6   2
       - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   5   4   4             2   6   3   8   2
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   3   6   4             2   5   10   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1  *n2 *r216

              2   5   8   6             2   5   8   4   2
       + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   8              2   5   6   6   2
       + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   6   4   4             2   5   4   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   5   4   8   2             2   5   4   6   4
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5   2   10   2             2   5   2   8   4
       + 4*a33 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

           5   9   5   2            5   9   3   4            5   7   7   2
       + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *n1 *n2 *n3 *r496

             5   7   5   4          5   5   9   2            5   5   7   4
       - 4*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

           4      12   2   2            4      12   4
       + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

           4      10   6          4      10   4   2
       + m1 *m2*n1  *n2 *r496 - m1 *m2*n1  *n2 *n3 *r496

             4      10   2   4            4      8   8
       - 4*m1 *m2*n1  *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

             4      8   6   2             4      8   4   4
       - 4*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

             4      6   10          4      6   8   2
       + 3*m1 *m2*n1 *n2  *r496 - m1 *m2*n1 *n2 *n3 *r496

              4      6   6   4          4      4   12
       - 16*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           4      4   10   2            4      4   8   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

           3   2   13   3            3   2   13      2
       + m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   11   5            3   2   11   3   2
       + 2*m1 *m2 *n1  *n2 *r496 - 5*m1 *m2 *n1  *n2 *n3 *r496

             3   2   11      4            3   2   9   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1 *n2 *r496

              3   2   9   5   2             3   2   9   3   4
       - 10*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   7   9             3   2   7   7   2
       + 4*m1 *m2 *n1 *n2 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

              3   2   7   5   4            3   2   5   11
       - 20*m1 *m2 *n1 *n2 *n3 *r496 + 5*m1 *m2 *n1 *n2  *r496

              3   2   5   9   2             3   2   5   7   4
       - 15*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             3   2   3   13            3   2   3   11   2
       + 2*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   3   9   4          2   3   14   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *r496

           2   3   12   4            2   3   12   2   2
       - m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

           2   3   10   6             2   3   10   4   2
       + m1 *m2 *n1  *n2 *r496 - 21*m1 *m2 *n1  *n2 *n3 *r496

              2   3   10   2   4             2   3   8   6   2
       - 12*m1 *m2 *n1  *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              2   3   8   4   4          2   3   6   10
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

              2   3   6   8   2             2   3   6   6   4
       - 26*m1 *m2 *n1 *n2 *n3 *r496 - 20*m1 *m2 *n1 *n2 *n3 *r496

           2   3   4   12             2   3   4   10   2
       + m1 *m2 *n1 *n2  *r496 - 19*m1 *m2 *n1 *n2  *n3 *r496

              2   3   4   8   4          2   3   2   14
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

             2   3   2   12   2            2   3   2   10   4
       - 5*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1 *n2  *n3 *r496

                4   13   3               4   11   5
       - 2*m1*m2 *n1  *n2 *r496 - 5*m1*m2 *n1  *n2 *r496

                4   11   3   2               4   9   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 - 4*m1*m2 *n1 *n2 *r496

                 4   9   5   2               4   9   3   4
       - 23*m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                4   7   9                4   7   7   2
       - 2*m1*m2 *n1 *n2 *r496 - 22*m1*m2 *n1 *n2 *n3 *r496

                 4   7   5   4               4   5   11
       - 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *r496

                 4   5   9   2                4   5   7   4
       - 13*m1*m2 *n1 *n2 *n3 *r496 - 10*m1*m2 *n1 *n2 *n3 *r496

              4   3   13               4   3   11   2
       - m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                4   3   9   4               4      13   2
       - 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1*n2  *n3 *r496

                4      11   4          5   12   4            5   10   6
       - 2*m1*m2 *n1*n2  *n3 *r496 - m2 *n1  *n2 *r496 - 3*m2 *n1  *n2 *r496

             5   10   4   2            5   8   8            5   8   6   2
       - 3*m2 *n1  *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 - 8*m2 *n1 *n2 *n3 *r496

             5   8   4   4          5   6   10            5   6   8   2
       - 2*m2 *n1 *n2 *n3 *r496 - m2 *n1 *n2  *r496 - 7*m2 *n1 *n2 *n3 *r496

             5   6   6   4            5   4   10   2
       - 4*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2  *n3 *r496

             5   4   8   4                6   8   4   2           6   8   2   4
       - 2*m2 *n1 *n2 *n3 *r496)/(4*a33*m1 *n1 *n2 *n3  - 8*a33*m1 *n1 *n2 *n3

              6   4   8   2           6   4   6   4           5      9   5
    - 4*a33*m1 *n1 *n2 *n3  + 8*a33*m1 *n1 *n2 *n3  + 4*a33*m1 *m2*n1 *n2

               5      9   3   2            5      9      4
    - 20*a33*m1 *m2*n1 *n2 *n3  + 16*a33*m1 *m2*n1 *n2*n3

              5      7   7           5      7   5   2
    + 4*a33*m1 *m2*n1 *n2  + 4*a33*m1 *m2*n1 *n2 *n3

               5      7   3   4           5      5   9
    - 32*a33*m1 *m2*n1 *n2 *n3  - 4*a33*m1 *m2*n1 *n2

               5      5   7   2            5      5   5   4
    + 20*a33*m1 *m2*n1 *n2 *n3  - 16*a33*m1 *m2*n1 *n2 *n3

              5      3   11           5      3   9   2
    - 4*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2 *n3

               5      3   7   4            4   2   10   4
    + 32*a33*m1 *m2*n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

               4   2   10   2   2           4   2   10   4
    + 28*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

              4   2   8   6            4   2   8   4   2
    - 4*a33*m1 *m2 *n1 *n2  - 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   8   2   4            4   2   6   8
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               4   2   6   6   2            4   2   6   4   4
    - 40*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2 *n3

              4   2   4   10            4   2   4   8   2
    + 4*a33*m1 *m2 *n1 *n2   + 44*a33*m1 *m2 *n1 *n2 *n3

               4   2   4   6   4           4   2   2   12
    - 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

               4   2   2   10   2            4   2   2   8   4
    + 12*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

               3   3   11   3            3   3   11      2
    + 12*a33*m1 *m2 *n1  *n2  - 12*a33*m1 *m2 *n1  *n2*n3

               3   3   9   5            3   3   9   3   2
    - 12*a33*m1 *m2 *n1 *n2  + 76*a33*m1 *m2 *n1 *n2 *n3

               3   3   9      4            3   3   7   7
    - 32*a33*m1 *m2 *n1 *n2*n3  - 32*a33*m1 *m2 *n1 *n2

               3   3   7   3   4            3   3   5   9
    + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

               3   3   5   7   2            3   3   3   11
    - 96*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

               3   3   3   9   2            3   3   3   7   4
    + 12*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

              3   3      13            3   3      11   2
    - 4*a33*m1 *m2 *n1*n2   + 20*a33*m1 *m2 *n1*n2  *n3

               3   3      9   4           2   4   12   2
    + 32*a33*m1 *m2 *n1*n2 *n3  - 4*a33*m1 *m2 *n1  *n2

               2   4   10   4            2   4   10   2   2
    + 20*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

               2   4   8   6            2   4   8   4   2
    + 16*a33*m1 *m2 *n1 *n2  + 60*a33*m1 *m2 *n1 *n2 *n3

               2   4   8   2   4            2   4   6   8
    - 48*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2

               2   4   6   6   2            2   4   6   4   4
    + 64*a33*m1 *m2 *n1 *n2 *n3  + 64*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   10            2   4   4   8   2
    - 12*a33*m1 *m2 *n1 *n2   - 68*a33*m1 *m2 *n1 *n2 *n3

               2   4   4   6   4            2   4   2   12
    + 40*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

               2   4   2   10   2            2   4   2   8   4
    - 28*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

              2   4   12   2           2   4   10   4              5   11   3
    + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1*m2 *n1  *n2

                 5   9   5               5   9   3   2               5   7   7
    + 4*a33*m1*m2 *n1 *n2  - 36*a33*m1*m2 *n1 *n2 *n3  + 20*a33*m1*m2 *n1 *n2

                 5   7   5   2               5   7   3   4
    + 4*a33*m1*m2 *n1 *n2 *n3  - 32*a33*m1*m2 *n1 *n2 *n3

                 5   5   9               5   5   7   2
    - 4*a33*m1*m2 *n1 *n2  + 52*a33*m1*m2 *n1 *n2 *n3

                  5   5   5   4               5   3   11
    + 16*a33*m1*m2 *n1 *n2 *n3  - 12*a33*m1*m2 *n1 *n2

                 5   3   9   2               5   3   7   4
    - 4*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                  5      11   2               5      9   4           6   10   4
    - 16*a33*m1*m2 *n1*n2  *n3  - 16*a33*m1*m2 *n1*n2 *n3  - 4*a33*m2 *n1  *n2

              6   8   6            6   8   4   2           6   6   8
    - 4*a33*m2 *n1 *n2  - 12*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

              6   6   6   2           6   6   4   4           6   4   10
    - 8*a33*m2 *n1 *n2 *n3  - 8*a33*m2 *n1 *n2 *n3  + 4*a33*m2 *n1 *n2

               6   4   8   2           6   2   10   2           6   2   8   4
    + 12*a33*m2 *n1 *n2 *n3  + 8*a33*m2 *n1 *n2  *n3  + 8*a33*m2 *n1 *n2 *n3 )


       4   2            4   2            3                     3   2
r40=(m1 *n1 *r496 + 5*m1 *n2 *r496 - 8*m1 *m2*n1*n2*r496 - 2*m1 *n1 *n2*r483

            3   3            2   2   2            2   2   2
      - 2*m1 *n2 *r483 + 6*m1 *m2 *n1 *r496 + 6*m1 *m2 *n2 *r496

            2      3            2         2               3
      + 2*m1 *m2*n1 *r483 + 2*m1 *m2*n1*n2 *r483 - 8*m1*m2 *n1*n2*r496

               2   2                  2   3            4   2          4   2
      - 2*m1*m2 *n1 *n2*r483 - 2*m1*m2 *n2 *r483 + 5*m2 *n1 *r496 + m2 *n2 *r496

            3   3            3      2               4             2   3
      + 2*m2 *n1 *r483 + 2*m2 *n1*n2 *r483)/(4*m1*n1 *n2 + 8*m1*n1 *n2

             5          5          3   2             4
    + 4*m1*n2  - 4*m2*n1  - 8*m2*n1 *n2  - 4*m2*n1*n2 )


r41=0


         3               2                2   2          2   2
r42=(2*m1 *n2*r496 - 2*m1 *m2*n1*r496 - m1 *n1 *r483 - m1 *n2 *r483

               2               3             2   2          2   2            4
      + 2*m1*m2 *n2*r496 - 2*m2 *n1*r496 - m2 *n1 *r483 - m2 *n2 *r483)/(2*n1

          2   2       4
    + 4*n1 *n2  + 2*n2 )


r43=0


r44=0


r45=0


r46=0


r47=0


r48=0


         3               2                2   2          2   2
r49=(2*m1 *n2*r496 - 2*m1 *m2*n1*r496 - m1 *n1 *r483 - m1 *n2 *r483

               2               3             2   2          2   2            4
      + 2*m1*m2 *n2*r496 - 2*m2 *n1*r496 - m2 *n1 *r483 - m2 *n2 *r483)/(2*n1

          2   2       4
    + 4*n1 *n2  + 2*n2 )


r410=0


r411=0


r412=0


r413=0


           3   3            3      2            2      2
r415=( - m1 *n1 *r496 - 3*m1 *n1*n2 *r496 + 3*m1 *m2*n1 *n2*r496

             2      3          2   3             2      3
       - 3*m1 *m2*n2 *r496 + m1 *n1 *n2*r483 + m1 *n1*n2 *r483

                2   3               2      2                4
       - 3*m1*m2 *n1 *r496 + 3*m1*m2 *n1*n2 *r496 - m1*m2*n1 *r483

                 4            3   2             3   3          2   3
       + m1*m2*n2 *r483 - 3*m2 *n1 *n2*r496 - m2 *n2 *r496 - m2 *n1 *n2*r483

           2      3             4             2   3        5        5
       - m2 *n1*n2 *r483)/(m1*n1 *n2 + 2*m1*n1 *n2  + m1*n2  - m2*n1

             3   2           4
    - 2*m2*n1 *n2  - m2*n1*n2 )


r416=0


             2                        2                  2             3
r417=( - 2*m1 *n1*n2*r496 + 2*m1*m2*n1 *r496 - 2*m1*m2*n2 *r496 + m1*n1 *r483

                 2            2                   2                3          4
       + m1*n1*n2 *r483 + 2*m2 *n1*n2*r496 + m2*n1 *n2*r483 + m2*n2 *r483)/(n1

          2   2     4
    + 2*n1 *n2  + n2 )


r418=0


r419=0


          2   2                                  2                3
r420=(2*m1 *n2 *r496 - 4*m1*m2*n1*n2*r496 - m1*n1 *n2*r483 - m1*n2 *r483

             2   2             3                2          4       2   2     4
       + 2*m2 *n1 *r496 + m2*n1 *r483 + m2*n1*n2 *r483)/(n1  + 2*n1 *n2  + n2 )


r421=0


             2                        2                  2             3
r422=( - 2*m1 *n1*n2*r496 + 2*m1*m2*n1 *r496 - 2*m1*m2*n2 *r496 + m1*n1 *r483

                 2            2                   2                3          4
       + m1*n1*n2 *r483 + 2*m2 *n1*n2*r496 + m2*n1 *n2*r483 + m2*n2 *r483)/(n1

          2   2     4
    + 2*n1 *n2  + n2 )


r423=0


r424=0


r426=0


r427=0


r428=0


r429=0


           2   6   6   4   2             2   6   6   2   4
r431=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   2             2   6   4   4   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5              2   5      7   3   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      4             2   5      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      5   5   2              2   5      5   3   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9             2   5      3   7   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   4             2   5   8   3   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      4             2   5   6   5   2
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   4             2   5   4   7   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   4              2   4   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   8   2   2             2   4   2   8   4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6              2   4   2   6   4   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   4             2   4   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   4   6   2              2   4   2   4   4   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10              2   4   2   2   8   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   4             2   4      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

              2   4      9   2   2             2   4      9   4
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6              2   4      7   4   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   4             2   4      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      5   6   2              2   4      5   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10             2   4      3   8   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   4              2   3   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   9      2              2   3   3   7   3   2
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      4              2   3   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   5   5   2              2   3   3   5   3   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9              2   3   3   3   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   4             2   3   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   3      9   2              2   3   3      7   4
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3             2   3   2   10      2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5             2   3   2   8   3   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      4              2   3   2   6   5   2
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   4             2   3   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   4   7   2              2   3   2   4   5   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11             2   3   2   2   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   4             2   2   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   8   4              2   2   4   8   2   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6              2   2   4   6   4   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   4              2   2   4   4   6   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   4              2   2   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   2   8   2              2   2   4   2   6   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   2             2   2   4   8   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2             2   2   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   9   2   2              2   2   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   7   4   2              2   2   3   7   2   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8              2   2   3   5   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   4             2   2   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   3   8   2             2   2   3   3   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12              2   2   3      10   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   4             2      5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   5              2      5   7   3   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7              2      5   5   5   2
       + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   4              2      5   3   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *r214

               2      5   3   7   2              2      5   3   5   4
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   2              2      5      7   4
       + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3             2      4   8   5
       + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   3   2              2      4   6   5   2
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   4             2      4   4   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   4   7   2              2      4   4   5   4
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11             2      4   2   9   2
       - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   4             2      4   11   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   4             2   6   8   4
       - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

              2   6   6   6              2   6   6   4   2
       - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8              2   6   4   6   2
       - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   4             2   6   2   8   2
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   4             2   5   9   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *r216

              2   5   7   6             2   5   7   4   2
       + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8              2   5   5   6   2
       + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   4             2   5   3   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   5   3   8   2             2   5   3   6   4
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   2             2   5      8   4
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

             5   10   3   2            5   10      4
       + 2*m1 *n1  *n2 *n3 *r496 - 4*m1 *n1  *n2*n3 *r496

             5   8   5   2            5   8   3   4          5   4   9   2
       + 3*m1 *n1 *n2 *n3 *r496 - 6*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496

             5   4   7   4            4      11   4
       + 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *m2*n1  *n2 *r496

             4      11   2   2            4      11   4
       - 7*m1 *m2*n1  *n2 *n3 *r496 + 2*m1 *m2*n1  *n3 *r496

             4      9   6            4      9   4   2
       + 5*m1 *m2*n1 *n2 *r496 - 7*m1 *m2*n1 *n2 *n3 *r496

              4      9   2   4            4      7   8
       - 16*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

             4      7   6   2             4      7   4   4
       + 6*m1 *m2*n1 *n2 *n3 *r496 - 30*m1 *m2*n1 *n2 *n3 *r496

           4      5   10            4      5   8   2
       - m1 *m2*n1 *n2  *r496 + 5*m1 *m2*n1 *n2 *n3 *r496

             4      5   6   4          4      3   12
       - 4*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *r496

           4      3   10   2            4      3   8   4
       - m1 *m2*n1 *n2  *n3 *r496 + 8*m1 *m2*n1 *n2 *n3 *r496

             3   2   12   3            3   2   12      2
       - 3*m1 *m2 *n1  *n2 *r496 + 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5             3   2   10   3   2
       - 2*m1 *m2 *n1  *n2 *r496 - 19*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      4             3   2   8   7
       + 8*m1 *m2 *n1  *n2*n3 *r496 + 10*m1 *m2 *n1 *n2 *r496

              3   2   8   5   2             3   2   8   3   4
       - 42*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   9             3   2   6   7   2
       + 12*m1 *m2 *n1 *n2 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   4          3   2   4   11
       - 60*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

              3   2   4   9   2             3   2   4   7   4
       + 11*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13            3   2   2   11   2
       - 2*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   4          2   3   13   2
       + 12*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

             2   3   11   4            2   3   11   2   2
       - 5*m1 *m2 *n1  *n2 *r496 + 9*m1 *m2 *n1  *n2 *n3 *r496

              2   3   9   6             2   3   9   4   2
       - 13*m1 *m2 *n1 *n2 *r496 - 15*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   4             2   3   7   6   2
       + 12*m1 *m2 *n1 *n2 *n3 *r496 - 64*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   4             2   3   5   10
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + 13*m1 *m2 *n1 *n2  *r496

              2   3   5   8   2             2   3   5   6   4
       - 42*m1 *m2 *n1 *n2 *n3 *r496 - 60*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   12            2   3   3   10   2
       + 5*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   4          2   3      14
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1*n2  *r496

             2   3      12   2            2   3      10   4
       + 5*m1 *m2 *n1*n2  *n3 *r496 + 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3             4   10   5
       + 2*m1*m2 *n1  *n2 *r496 - m1*m2 *n1  *n2 *r496

                4   10   3   2                4   8   7
       + 9*m1*m2 *n1  *n2 *n3 *r496 - 12*m1*m2 *n1 *n2 *r496

              4   8   5   2               4   8   3   4
       - m1*m2 *n1 *n2 *n3 *r496 + 8*m1*m2 *n1 *n2 *n3 *r496

                 4   6   9                4   6   7   2
       - 10*m1*m2 *n1 *n2 *r496 - 40*m1*m2 *n1 *n2 *n3 *r496

                4   6   5   4               4   4   11
       - 4*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n1 *n2  *r496

                 4   4   9   2                4   4   7   4
       - 39*m1*m2 *n1 *n2 *n3 *r496 - 30*m1*m2 *n1 *n2 *n3 *r496

                4   2   13               4   2   11   2
       + 3*m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                 4   2   9   4               4   13   2
       - 16*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n2  *n3 *r496

                4   11   4          5   11   4          5   9   6
       + 2*m1*m2 *n2  *n3 *r496 + m2 *n1  *n2 *r496 + m2 *n1 *n2 *r496

             5   9   4   2            5   7   8            5   7   6   2
       + 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 + 2*m2 *n1 *n2 *n3 *r496

             5   7   4   4            5   5   10            5   5   8   2
       + 2*m2 *n1 *n2 *n3 *r496 - 5*m2 *n1 *n2  *r496 - 9*m2 *n1 *n2 *n3 *r496

             5   3   12             5   3   10   2            5   3   8   4
       - 2*m2 *n1 *n2  *r496 - 12*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1 *n2 *n3 *r496

             5      12   2            5      10   4            5   9   4   2
       - 4*m2 *n1*n2  *n3 *r496 - 4*m2 *n1*n2  *n3 *r496)/(2*m1 *n1 *n2 *n3

          5   9   2   4       5   7   6   2       5   7   4   4
    - 4*m1 *n1 *n2 *n3  + 2*m1 *n1 *n2 *n3  - 4*m1 *n1 *n2 *n3

          5   5   8   2       5   5   6   4       5   3   10   2
    - 2*m1 *n1 *n2 *n3  + 4*m1 *n1 *n2 *n3  - 2*m1 *n1 *n2  *n3

          5   3   8   4       4      10   5        4      10   3   2
    + 4*m1 *n1 *n2 *n3  + 2*m1 *m2*n1  *n2  - 10*m1 *m2*n1  *n2 *n3

          4      10      4       4      8   7        4      8   5   2
    + 8*m1 *m2*n1  *n2*n3  + 4*m1 *m2*n1 *n2  - 10*m1 *m2*n1 *n2 *n3

          4      8   3   4        4      6   7   2        4      6   5   4
    - 4*m1 *m2*n1 *n2 *n3  + 10*m1 *m2*n1 *n2 *n3  - 20*m1 *m2*n1 *n2 *n3

          4      4   11        4      4   9   2       4      4   7   4
    - 4*m1 *m2*n1 *n2   + 10*m1 *m2*n1 *n2 *n3  + 4*m1 *m2*n1 *n2 *n3

          4      2   13        4      2   9   4       3   2   11   4
    - 2*m1 *m2*n1 *n2   + 12*m1 *m2*n1 *n2 *n3  - 6*m1 *m2 *n1  *n2

           3   2   11   2   2       3   2   11   4        3   2   9   6
    + 14*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  - 10*m1 *m2 *n1 *n2

          3   2   9   4   2        3   2   9   2   4       3   2   7   8
    + 2*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1 *n2

           3   2   7   6   2        3   2   7   4   4        3   2   5   10
    - 32*m1 *m2 *n1 *n2 *n3  + 16*m1 *m2 *n1 *n2 *n3  + 12*m1 *m2 *n1 *n2

          3   2   5   8   2        3   2   5   6   4       3   2   3   12
    - 8*m1 *m2 *n1 *n2 *n3  - 32*m1 *m2 *n1 *n2 *n3  + 2*m1 *m2 *n1 *n2

           3   2   3   10   2        3   2   3   8   4       3   2      14
    + 18*m1 *m2 *n1 *n2  *n3  - 12*m1 *m2 *n1 *n2 *n3  - 2*m1 *m2 *n1*n2

          3   2      12   2        3   2      10   4       2   3   12   3
    + 6*m1 *m2 *n1*n2  *n3  + 12*m1 *m2 *n1*n2  *n3  + 6*m1 *m2 *n1  *n2

          2   3   12      2       2   3   10   5        2   3   10   3   2
    - 6*m1 *m2 *n1  *n2*n3  + 6*m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2 *n3

           2   3   10      4        2   3   8   7        2   3   8   5   2
    - 12*m1 *m2 *n1  *n2*n3  - 12*m1 *m2 *n1 *n2  + 36*m1 *m2 *n1 *n2 *n3

           2   3   8   3   4        2   3   6   9        2   3   6   7   2
    + 12*m1 *m2 *n1 *n2 *n3  - 12*m1 *m2 *n1 *n2  - 16*m1 *m2 *n1 *n2 *n3

           2   3   6   5   4       2   3   4   11        2   3   4   9   2
    + 32*m1 *m2 *n1 *n2 *n3  + 6*m1 *m2 *n1 *n2   - 34*m1 *m2 *n1 *n2 *n3

           2   3   4   7   4       2   3   2   13       2   3   2   11   2
    - 16*m1 *m2 *n1 *n2 *n3  + 6*m1 *m2 *n1 *n2   - 2*m1 *m2 *n1 *n2  *n3

           2   3   2   9   4       2   3   13   2       2   3   11   4
    - 20*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n2  *n3  + 4*m1 *m2 *n2  *n3

             4   13   2          4   11   4           4   11   2   2
    - 2*m1*m2 *n1  *n2  + 2*m1*m2 *n1  *n2  - 12*m1*m2 *n1  *n2 *n3

              4   9   6          4   9   4   2           4   9   2   4
    + 12*m1*m2 *n1 *n2  - 6*m1*m2 *n1 *n2 *n3  - 12*m1*m2 *n1 *n2 *n3

             4   7   8           4   7   6   2          4   7   4   4
    + 4*m1*m2 *n1 *n2  + 26*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2 *n3

              4   5   10           4   5   8   2           4   5   6   4
    - 10*m1*m2 *n1 *n2   + 14*m1*m2 *n1 *n2 *n3  + 20*m1*m2 *n1 *n2 *n3

             4   3   12           4   3   10   2          4   3   8   4
    - 6*m1*m2 *n1 *n2   - 14*m1*m2 *n1 *n2  *n3  + 4*m1*m2 *n1 *n2 *n3

             4      12   2          4      10   4       5   12   3
    - 8*m1*m2 *n1*n2  *n3  - 8*m1*m2 *n1*n2  *n3  - 2*m2 *n1  *n2

          5   10   5       5   10   3   2        5   8   5   2
    - 4*m2 *n1  *n2  - 6*m2 *n1  *n2 *n3  - 10*m2 *n1 *n2 *n3

          5   8   3   4       5   6   9       5   6   7   2       5   6   5   4
    - 4*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2  + 2*m2 *n1 *n2 *n3  - 4*m2 *n1 *n2 *n3

          5   4   11        5   4   9   2       5   4   7   4
    + 2*m2 *n1 *n2   + 10*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2 *n3

          5   2   11   2       5   2   9   4
    + 4*m2 *n1 *n2  *n3  + 4*m2 *n1 *n2 *n3 )


r432=0


r433=0


r435=0


           2   2            2   2                                  2
r439=( - m1 *n1 *r496 - 3*m1 *n2 *r496 + 4*m1*m2*n1*n2*r496 + m1*n1 *n2*r483

              3            2   2          2   2             3
       + m1*n2 *r483 - 3*m2 *n1 *r496 - m2 *n2 *r496 - m2*n1 *r483

                 2          4       2   2     4
       - m2*n1*n2 *r483)/(n1  + 2*n1 *n2  + n2 )


r442=0


             2   2                                  2                3
r444=( - 2*m1 *n2 *r496 + 4*m1*m2*n1*n2*r496 + m1*n1 *n2*r483 + m1*n2 *r483

             2   2             3                2          4       2   2     4
       - 2*m2 *n1 *r496 - m2*n1 *r483 - m2*n1*n2 *r483)/(n1  + 2*n1 *n2  + n2 )


r445=0


      2*m1*n1*r496 + 2*m2*n2*r496
r448=-----------------------------
                 2     2
               n1  + n2


r450=0


r451=0


           2   6   6   4   2             2   6   6   2   4
r453=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   2             2   6   4   4   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5              2   5      7   3   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      4             2   5      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      5   5   2              2   5      5   3   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9             2   5      3   7   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   4             2   5   8   3   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      4             2   5   6   5   2
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   4             2   5   4   7   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   4              2   4   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   8   2   2             2   4   2   8   4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6              2   4   2   6   4   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   4             2   4   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   4   6   2              2   4   2   4   4   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10              2   4   2   2   8   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   4             2   4      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

              2   4      9   2   2             2   4      9   4
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6              2   4      7   4   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   4             2   4      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      5   6   2              2   4      5   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10             2   4      3   8   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   4              2   3   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   9      2              2   3   3   7   3   2
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      4              2   3   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   5   5   2              2   3   3   5   3   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9              2   3   3   3   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   4             2   3   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   3      9   2              2   3   3      7   4
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3             2   3   2   10      2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5             2   3   2   8   3   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      4              2   3   2   6   5   2
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   4             2   3   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   4   7   2              2   3   2   4   5   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11             2   3   2   2   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   4             2   2   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   8   4              2   2   4   8   2   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6              2   2   4   6   4   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   4              2   2   4   4   6   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   4              2   2   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   2   8   2              2   2   4   2   6   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   2             2   2   4   8   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2             2   2   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   9   2   2              2   2   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   7   4   2              2   2   3   7   2   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8              2   2   3   5   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   4             2   2   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   3   8   2             2   2   3   3   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12              2   2   3      10   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   4             2      5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   5              2      5   7   3   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7              2      5   5   5   2
       + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   4              2      5   3   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *r214

               2      5   3   7   2              2      5   3   5   4
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   2              2      5      7   4
       + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3             2      4   8   5
       + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   3   2              2      4   6   5   2
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   4             2      4   4   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   4   7   2              2      4   4   5   4
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11             2      4   2   9   2
       - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   4             2      4   11   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   4             2   6   8   4
       - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

              2   6   6   6              2   6   6   4   2
       - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8              2   6   4   6   2
       - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   4             2   6   2   8   2
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   4             2   5   9   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *r216

              2   5   7   6             2   5   7   4   2
       + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8              2   5   5   6   2
       + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   4             2   5   3   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   5   3   8   2             2   5   3   6   4
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   2             2   5      8   4
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

             5   10   3   2            5   10      4
       + 2*m1 *n1  *n2 *n3 *r496 - 4*m1 *n1  *n2*n3 *r496

             5   8   5   2            5   8   3   4          5   4   9   2
       + 3*m1 *n1 *n2 *n3 *r496 - 6*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496

             5   4   7   4            4      11   4
       + 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *m2*n1  *n2 *r496

             4      11   2   2            4      11   4
       - 7*m1 *m2*n1  *n2 *n3 *r496 + 2*m1 *m2*n1  *n3 *r496

             4      9   6            4      9   4   2
       + 5*m1 *m2*n1 *n2 *r496 - 7*m1 *m2*n1 *n2 *n3 *r496

              4      9   2   4            4      7   8
       - 16*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

             4      7   6   2             4      7   4   4
       + 6*m1 *m2*n1 *n2 *n3 *r496 - 30*m1 *m2*n1 *n2 *n3 *r496

           4      5   10            4      5   8   2
       - m1 *m2*n1 *n2  *r496 + 5*m1 *m2*n1 *n2 *n3 *r496

             4      5   6   4          4      3   12
       - 4*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *r496

           4      3   10   2            4      3   8   4
       - m1 *m2*n1 *n2  *n3 *r496 + 8*m1 *m2*n1 *n2 *n3 *r496

             3   2   12   3            3   2   12      2
       - 3*m1 *m2 *n1  *n2 *r496 + 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5             3   2   10   3   2
       - 2*m1 *m2 *n1  *n2 *r496 - 19*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      4             3   2   8   7
       + 8*m1 *m2 *n1  *n2*n3 *r496 + 10*m1 *m2 *n1 *n2 *r496

              3   2   8   5   2             3   2   8   3   4
       - 42*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   9             3   2   6   7   2
       + 12*m1 *m2 *n1 *n2 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   4          3   2   4   11
       - 60*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

              3   2   4   9   2             3   2   4   7   4
       + 11*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13            3   2   2   11   2
       - 2*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   4          2   3   13   2
       + 12*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

             2   3   11   4            2   3   11   2   2
       - 5*m1 *m2 *n1  *n2 *r496 + 9*m1 *m2 *n1  *n2 *n3 *r496

              2   3   9   6             2   3   9   4   2
       - 13*m1 *m2 *n1 *n2 *r496 - 15*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   4             2   3   7   6   2
       + 12*m1 *m2 *n1 *n2 *n3 *r496 - 64*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   4             2   3   5   10
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + 13*m1 *m2 *n1 *n2  *r496

              2   3   5   8   2             2   3   5   6   4
       - 42*m1 *m2 *n1 *n2 *n3 *r496 - 60*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   12            2   3   3   10   2
       + 5*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   4          2   3      14
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1*n2  *r496

             2   3      12   2            2   3      10   4
       + 5*m1 *m2 *n1*n2  *n3 *r496 + 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3             4   10   5
       + 2*m1*m2 *n1  *n2 *r496 - m1*m2 *n1  *n2 *r496

                4   10   3   2                4   8   7
       + 9*m1*m2 *n1  *n2 *n3 *r496 - 12*m1*m2 *n1 *n2 *r496

              4   8   5   2               4   8   3   4
       - m1*m2 *n1 *n2 *n3 *r496 + 8*m1*m2 *n1 *n2 *n3 *r496

                 4   6   9                4   6   7   2
       - 10*m1*m2 *n1 *n2 *r496 - 40*m1*m2 *n1 *n2 *n3 *r496

                4   6   5   4               4   4   11
       - 4*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n1 *n2  *r496

                 4   4   9   2                4   4   7   4
       - 39*m1*m2 *n1 *n2 *n3 *r496 - 30*m1*m2 *n1 *n2 *n3 *r496

                4   2   13               4   2   11   2
       + 3*m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                 4   2   9   4               4   13   2
       - 16*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n2  *n3 *r496

                4   11   4          5   11   4          5   9   6
       + 2*m1*m2 *n2  *n3 *r496 + m2 *n1  *n2 *r496 + m2 *n1 *n2 *r496

             5   9   4   2            5   7   8            5   7   6   2
       + 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 + 2*m2 *n1 *n2 *n3 *r496

             5   7   4   4            5   5   10            5   5   8   2
       + 2*m2 *n1 *n2 *n3 *r496 - 5*m2 *n1 *n2  *r496 - 9*m2 *n1 *n2 *n3 *r496

             5   3   12             5   3   10   2            5   3   8   4
       - 2*m2 *n1 *n2  *r496 - 12*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1 *n2 *n3 *r496

             5      12   2            5      10   4            5   10   3   2
       - 4*m2 *n1*n2  *n3 *r496 - 4*m2 *n1*n2  *n3 *r496)/(2*m1 *n1  *n2 *n3

          5   10      4       5   8   5   2       5   8   3   4
    - 4*m1 *n1  *n2*n3  + 2*m1 *n1 *n2 *n3  - 4*m1 *n1 *n2 *n3

          5   6   7   2       5   6   5   4       5   4   9   2
    - 2*m1 *n1 *n2 *n3  + 4*m1 *n1 *n2 *n3  - 2*m1 *n1 *n2 *n3

          5   4   7   4       4      11   4       4      11   2   2
    + 4*m1 *n1 *n2 *n3  + 2*m1 *m2*n1  *n2  - 8*m1 *m2*n1  *n2 *n3

          4      11   4       4      9   6       4      9   4   2
    + 4*m1 *m2*n1  *n3  + 4*m1 *m2*n1 *n2  - 6*m1 *m2*n1 *n2 *n3

           4      9   2   4        4      7   6   2        4      7   4   4
    - 12*m1 *m2*n1 *n2 *n3  + 10*m1 *m2*n1 *n2 *n3  - 20*m1 *m2*n1 *n2 *n3

          4      5   10       4      5   8   2        4      5   6   4
    - 4*m1 *m2*n1 *n2   + 6*m1 *m2*n1 *n2 *n3  + 12*m1 *m2*n1 *n2 *n3

          4      3   12       4      3   10   2        4      3   8   4
    - 2*m1 *m2*n1 *n2   - 2*m1 *m2*n1 *n2  *n3  + 16*m1 *m2*n1 *n2 *n3

          3   2   12   3       3   2   12      2       3   2   10   5
    - 4*m1 *m2 *n1  *n2  + 6*m1 *m2 *n1  *n2*n3  - 4*m1 *m2 *n1  *n2

           3   2   10   3   2        3   2   10      4       3   2   8   7
    - 14*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2*n3  + 8*m1 *m2 *n1 *n2

           3   2   8   5   2       3   2   8   3   4       3   2   6   9
    - 32*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2 *n3  + 8*m1 *m2 *n1 *n2

          3   2   6   7   2        3   2   6   5   4       3   2   4   11
    + 8*m1 *m2 *n1 *n2 *n3  - 40*m1 *m2 *n1 *n2 *n3  - 4*m1 *m2 *n1 *n2

           3   2   4   9   2       3   2   4   7   4       3   2   2   13
    + 26*m1 *m2 *n1 *n2 *n3  + 8*m1 *m2 *n1 *n2 *n3  - 4*m1 *m2 *n1 *n2

          3   2   2   11   2        3   2   2   9   4       2   3   13   2
    + 6*m1 *m2 *n1 *n2  *n3  + 24*m1 *m2 *n1 *n2 *n3  + 2*m1 *m2 *n1  *n2

          2   3   11   4        2   3   11   2   2        2   3   9   6
    - 4*m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2 *n3  - 14*m1 *m2 *n1 *n2

          2   3   9   4   2        2   3   9   2   4        2   3   7   6   2
    + 6*m1 *m2 *n1 *n2 *n3  + 24*m1 *m2 *n1 *n2 *n3  - 40*m1 *m2 *n1 *n2 *n3

          2   3   7   4   4        2   3   5   10        2   3   5   8   2
    + 8*m1 *m2 *n1 *n2 *n3  + 14*m1 *m2 *n1 *n2   - 16*m1 *m2 *n1 *n2 *n3

           2   3   5   6   4       2   3   3   12        2   3   3   10   2
    - 40*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1 *n2   + 22*m1 *m2 *n1 *n2  *n3

          2   3   3   8   4       2   3      14        2   3      12   2
    - 8*m1 *m2 *n1 *n2 *n3  - 2*m1 *m2 *n1*n2   + 10*m1 *m2 *n1*n2  *n3

           2   3      10   4          4   12   3          4   10   5
    + 16*m1 *m2 *n1*n2  *n3  + 4*m1*m2 *n1  *n2  + 4*m1*m2 *n1  *n2

              4   10   3   2          4   8   7           4   8   5   2
    + 18*m1*m2 *n1  *n2 *n3  - 8*m1*m2 *n1 *n2  + 22*m1*m2 *n1 *n2 *n3

              4   8   3   4          4   6   9           4   6   7   2
    + 16*m1*m2 *n1 *n2 *n3  - 8*m1*m2 *n1 *n2  - 18*m1*m2 *n1 *n2 *n3

              4   6   5   4          4   4   11           4   4   9   2
    + 12*m1*m2 *n1 *n2 *n3  + 4*m1*m2 *n1 *n2   - 26*m1*m2 *n1 *n2 *n3

              4   4   7   4          4   2   13           4   2   9   4
    - 20*m1*m2 *n1 *n2 *n3  + 4*m1*m2 *n1 *n2   - 12*m1*m2 *n1 *n2 *n3

             4   13   2          4   11   4       5   11   4       5   9   6
    + 4*m1*m2 *n2  *n3  + 4*m1*m2 *n2  *n3  + 2*m2 *n1  *n2  + 4*m2 *n1 *n2

          5   9   4   2        5   7   6   2       5   7   4   4
    + 6*m2 *n1 *n2 *n3  + 10*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2 *n3

          5   5   10       5   5   8   2       5   5   6   4       5   3   12
    - 4*m2 *n1 *n2   - 2*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2 *n3  - 2*m2 *n1 *n2

           5   3   10   2       5   3   8   4       5      12   2
    - 10*m2 *n1 *n2  *n3  - 4*m2 *n1 *n2 *n3  - 4*m2 *n1*n2  *n3

          5      10   4
    - 4*m2 *n1*n2  *n3 )


r454=0


           2   2            2   2                                  2
r455=( - m1 *n1 *r496 - 3*m1 *n2 *r496 + 4*m1*m2*n1*n2*r496 + m1*n1 *n2*r483

              3            2   2          2   2             3
       + m1*n2 *r483 - 3*m2 *n1 *r496 - m2 *n2 *r496 - m2*n1 *r483

                 2               2             3          3             2
       - m2*n1*n2 *r483)/(2*m1*n1 *n2 + 2*m1*n2  - 2*m2*n1  - 2*m2*n1*n2 )


r458=0


      r483
r460=------
       2


r463=0


r465=0


r467=r496


r468=0


        2          2
      n1 *r496 + n2 *r496
r469=---------------------
       4*m1*n2 - 4*m2*n1


r470=0


        2   2            2   2                                  2
r471=(m1 *n1 *r496 + 3*m1 *n2 *r496 - 4*m1*m2*n1*n2*r496 - m1*n1 *n2*r483

              3            2   2          2   2             3
       - m1*n2 *r483 + 3*m2 *n1 *r496 + m2 *n2 *r496 + m2*n1 *r483

                 2          4       2   2     4
       + m2*n1*n2 *r483)/(n1  + 2*n1 *n2  + n2 )


r472=0


          2   2                                  2                3
r473=(2*m1 *n2 *r496 - 4*m1*m2*n1*n2*r496 - m1*n1 *n2*r483 - m1*n2 *r483

             2   2             3                2          4       2   2     4
       + 2*m2 *n1 *r496 + m2*n1 *r483 + m2*n1*n2 *r483)/(n1  + 2*n1 *n2  + n2 )


r474=0


r475=0


r476=0


r477=0


          2   2                                    2                  3
r478=(4*m1 *n2 *r496 - 8*m1*m2*n1*n2*r496 - 2*m1*n1 *n2*r483 - 2*m1*n2 *r483

             2   2               3                  2          4       2   2
       + 4*m2 *n1 *r496 + 2*m2*n1 *r483 + 2*m2*n1*n2 *r483)/(n1  + 2*n1 *n2

        4
    + n2 )


r479=0


r480=0


       - 2*m1*n1*r496 - 2*m2*n2*r496
r481=--------------------------------
                  2     2
                n1  + n2


r482=0


r484=0


r485=0


r486=0


              2   6   6   4   2             2   6   6   2   4
r487=( - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   2             2   6   4   4   4
       - 4*a33 *m1 *n1 *n2 *n3 *r214 + 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5              2   5      7   3   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 + 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      4             2   5      5   7
       - 16*a33 *m1 *m2*n1 *n2*n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      5   5   2              2   5      5   3   4
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9             2   5      3   7   2
       - 4*a33 *m1 *m2*n1 *n2 *r214 - 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   4             2   5   8   3   2
       + 32*a33 *m1 *m2*n1 *n2 *n3 *r214 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      4             2   5   6   5   2
       + 4*a33 *m1 *n1 *n2*n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   4             2   5   4   7   2
       + 8*a33 *m1 *n1 *n2 *n3 *r216 - 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   4              2   4   2   8   4
       + 4*a33 *m1 *n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   8   2   2             2   4   2   8   4
       - 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6              2   4   2   6   4   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   4             2   4   2   4   8
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   4   6   2              2   4   2   4   4   4
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10              2   4   2   2   8   2
       - 8*a33 *m1 *m2 *n1 *n2  *r214 + 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   4             2   4      9   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m1 *m2*n1 *n2 *r216

              2   4      9   2   2             2   4      9   4
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6              2   4      7   4   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 + 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   4             2   4      5   8
       + 8*a33 *m1 *m2*n1 *n2 *n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      5   6   2              2   4      5   4   4
       + 4*a33 *m1 *m2*n1 *n2 *n3 *r216 + 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10             2   4      3   8   2
       - 2*a33 *m1 *m2*n1 *n2  *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   4              2   3   3   9   3
       + 16*a33 *m1 *m2*n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   9      2              2   3   3   7   3   2
       + 12*a33 *m1 *m2 *n1 *n2*n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      4              2   3   3   5   7
       + 32*a33 *m1 *m2 *n1 *n2*n3 *r214 + 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   5   5   2              2   3   3   5   3   4
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9              2   3   3   3   7   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   4             2   3   3      11
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   3      9   2              2   3   3      7   4
       + 20*a33 *m1 *m2 *n1*n2 *n3 *r214 + 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3             2   3   2   10      2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5             2   3   2   8   3   2
       + 8*a33 *m1 *m2 *n1 *n2 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      4              2   3   2   6   5   2
       - 16*a33 *m1 *m2 *n1 *n2*n3 *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   4             2   3   2   4   9
       - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   4   7   2              2   3   2   4   5   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11             2   3   2   2   9   2
       - 4*a33 *m1 *m2 *n1 *n2  *r216 + 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   4             2   2   4   10   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   8   4              2   2   4   8   2   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6              2   2   4   6   4   2
       - 32*a33 *m1 *m2 *n1 *n2 *r214 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   4              2   2   4   4   6   2
       + 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   4              2   2   4   2   10
       - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   2   8   2              2   2   4   2   6   4
       - 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   2             2   2   4   8   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2             2   2   3   9   4
       - 2*a33 *m1 *m2 *n1  *n2 *r216 + 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   9   2   2              2   2   3   7   6
       - 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   7   4   2              2   2   3   7   2   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8              2   2   3   5   6   2
       + 16*a33 *m1 *m2 *n1 *n2 *r216 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   4             2   2   3   3   10
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   3   8   2             2   2   3   3   6   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12              2   2   3      10   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   4             2      5   9   3
       + 16*a33 *m1 *m2 *n1*n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   5              2      5   7   3   2
       + 4*a33 *m1*m2 *n1 *n2 *r214 + 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7              2      5   5   5   2
       - 16*a33 *m1*m2 *n1 *n2 *r214 + 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   4              2      5   3   9
       + 32*a33 *m1*m2 *n1 *n2 *n3 *r214 - 12*a33 *m1*m2 *n1 *n2 *r214

               2      5   3   7   2              2      5   3   5   4
       - 20*a33 *m1*m2 *n1 *n2 *n3 *r214 + 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   2              2      5      7   4
       - 16*a33 *m1*m2 *n1*n2 *n3 *r214 - 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3             2      4   8   5
       - 4*a33 *m1*m2 *n1  *n2 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   3   2              2      4   6   5   2
       - 18*a33 *m1*m2 *n1 *n2 *n3 *r216 - 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   4             2      4   4   9
       - 16*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   4   7   2              2      4   4   5   4
       - 22*a33 *m1*m2 *n1 *n2 *n3 *r216 - 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11             2      4   2   9   2
       + 4*a33 *m1*m2 *n1 *n2  *r216 + 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   4             2      4   11   2
       - 8*a33 *m1*m2 *n1 *n2 *n3 *r216 + 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   4             2   6   8   4
       + 4*a33 *m1*m2 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *r214

              2   6   6   6              2   6   6   4   2
       + 8*a33 *m2 *n1 *n2 *r214 + 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8              2   6   4   6   2
       + 4*a33 *m2 *n1 *n2 *r214 + 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   4             2   6   2   8   2
       + 8*a33 *m2 *n1 *n2 *n3 *r214 + 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   4             2   5   9   4
       + 8*a33 *m2 *n1 *n2 *n3 *r214 - 2*a33 *m2 *n1 *n2 *r216

              2   5   7   6             2   5   7   4   2
       - 6*a33 *m2 *n1 *n2 *r216 - 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8              2   5   5   6   2
       - 6*a33 *m2 *n1 *n2 *r216 - 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   4             2   5   3   10
       - 4*a33 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m2 *n1 *n2  *r216

               2   5   3   8   2             2   5   3   6   4
       - 14*a33 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   2             2   5      8   4
       - 4*a33 *m2 *n1*n2  *n3 *r216 - 4*a33 *m2 *n1*n2 *n3 *r216

             5   10   3   2            5   10      4
       - 2*m1 *n1  *n2 *n3 *r496 + 4*m1 *n1  *n2*n3 *r496

             5   8   5   2            5   8   3   4          5   4   9   2
       - 3*m1 *n1 *n2 *n3 *r496 + 6*m1 *n1 *n2 *n3 *r496 + m1 *n1 *n2 *n3 *r496

             5   4   7   4            4      11   4
       - 2*m1 *n1 *n2 *n3 *r496 - 2*m1 *m2*n1  *n2 *r496

             4      11   2   2            4      11   4
       + 7*m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

             4      9   6            4      9   4   2
       - 5*m1 *m2*n1 *n2 *r496 + 7*m1 *m2*n1 *n2 *n3 *r496

              4      9   2   4            4      7   8
       + 16*m1 *m2*n1 *n2 *n3 *r496 - 3*m1 *m2*n1 *n2 *r496

             4      7   6   2             4      7   4   4
       - 6*m1 *m2*n1 *n2 *n3 *r496 + 30*m1 *m2*n1 *n2 *n3 *r496

           4      5   10            4      5   8   2
       + m1 *m2*n1 *n2  *r496 - 5*m1 *m2*n1 *n2 *n3 *r496

             4      5   6   4          4      3   12
       + 4*m1 *m2*n1 *n2 *n3 *r496 + m1 *m2*n1 *n2  *r496

           4      3   10   2            4      3   8   4
       + m1 *m2*n1 *n2  *n3 *r496 - 8*m1 *m2*n1 *n2 *n3 *r496

             3   2   12   3            3   2   12      2
       + 3*m1 *m2 *n1  *n2 *r496 - 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5             3   2   10   3   2
       + 2*m1 *m2 *n1  *n2 *r496 + 19*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      4             3   2   8   7
       - 8*m1 *m2 *n1  *n2*n3 *r496 - 10*m1 *m2 *n1 *n2 *r496

              3   2   8   5   2             3   2   8   3   4
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 24*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   9             3   2   6   7   2
       - 12*m1 *m2 *n1 *n2 *r496 + 12*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   4          3   2   4   11
       + 60*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1 *n2  *r496

              3   2   4   9   2             3   2   4   7   4
       - 11*m1 *m2 *n1 *n2 *n3 *r496 + 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13            3   2   2   11   2
       + 2*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   4          2   3   13   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2 *r496

             2   3   11   4            2   3   11   2   2
       + 5*m1 *m2 *n1  *n2 *r496 - 9*m1 *m2 *n1  *n2 *n3 *r496

              2   3   9   6             2   3   9   4   2
       + 13*m1 *m2 *n1 *n2 *r496 + 15*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   4             2   3   7   6   2
       - 12*m1 *m2 *n1 *n2 *n3 *r496 + 64*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   4             2   3   5   10
       + 16*m1 *m2 *n1 *n2 *n3 *r496 - 13*m1 *m2 *n1 *n2  *r496

              2   3   5   8   2             2   3   5   6   4
       + 42*m1 *m2 *n1 *n2 *n3 *r496 + 60*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   12            2   3   3   10   2
       - 5*m1 *m2 *n1 *n2  *r496 - 3*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   4          2   3      14
       + 24*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1*n2  *r496

             2   3      12   2            2   3      10   4
       - 5*m1 *m2 *n1*n2  *n3 *r496 - 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3             4   10   5
       - 2*m1*m2 *n1  *n2 *r496 + m1*m2 *n1  *n2 *r496

                4   10   3   2                4   8   7
       - 9*m1*m2 *n1  *n2 *n3 *r496 + 12*m1*m2 *n1 *n2 *r496

              4   8   5   2               4   8   3   4
       + m1*m2 *n1 *n2 *n3 *r496 - 8*m1*m2 *n1 *n2 *n3 *r496

                 4   6   9                4   6   7   2
       + 10*m1*m2 *n1 *n2 *r496 + 40*m1*m2 *n1 *n2 *n3 *r496

                4   6   5   4               4   4   11
       + 4*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n1 *n2  *r496

                 4   4   9   2                4   4   7   4
       + 39*m1*m2 *n1 *n2 *n3 *r496 + 30*m1*m2 *n1 *n2 *n3 *r496

                4   2   13               4   2   11   2
       - 3*m1*m2 *n1 *n2  *r496 + 7*m1*m2 *n1 *n2  *n3 *r496

                 4   2   9   4               4   13   2
       + 16*m1*m2 *n1 *n2 *n3 *r496 - 2*m1*m2 *n2  *n3 *r496

                4   11   4          5   11   4          5   9   6
       - 2*m1*m2 *n2  *n3 *r496 - m2 *n1  *n2 *r496 - m2 *n1 *n2 *r496

             5   9   4   2            5   7   8            5   7   6   2
       - 3*m2 *n1 *n2 *n3 *r496 + 3*m2 *n1 *n2 *r496 - 2*m2 *n1 *n2 *n3 *r496

             5   7   4   4            5   5   10            5   5   8   2
       - 2*m2 *n1 *n2 *n3 *r496 + 5*m2 *n1 *n2  *r496 + 9*m2 *n1 *n2 *n3 *r496

             5   3   12             5   3   10   2            5   3   8   4
       + 2*m2 *n1 *n2  *r496 + 12*m2 *n1 *n2  *n3 *r496 + 6*m2 *n1 *n2 *n3 *r496

             5      12   2            5      10   4            5   10   3   2
       + 4*m2 *n1*n2  *n3 *r496 + 4*m2 *n1*n2  *n3 *r496)/(2*m1 *n1  *n2 *n3

          5   10      4       5   8   5   2       5   8   3   4
    - 4*m1 *n1  *n2*n3  + 2*m1 *n1 *n2 *n3  - 4*m1 *n1 *n2 *n3

          5   6   7   2       5   6   5   4       5   4   9   2
    - 2*m1 *n1 *n2 *n3  + 4*m1 *n1 *n2 *n3  - 2*m1 *n1 *n2 *n3

          5   4   7   4       4      11   4       4      11   2   2
    + 4*m1 *n1 *n2 *n3  + 2*m1 *m2*n1  *n2  - 8*m1 *m2*n1  *n2 *n3

          4      11   4       4      9   6       4      9   4   2
    + 4*m1 *m2*n1  *n3  + 4*m1 *m2*n1 *n2  - 6*m1 *m2*n1 *n2 *n3

           4      9   2   4        4      7   6   2        4      7   4   4
    - 12*m1 *m2*n1 *n2 *n3  + 10*m1 *m2*n1 *n2 *n3  - 20*m1 *m2*n1 *n2 *n3

          4      5   10       4      5   8   2        4      5   6   4
    - 4*m1 *m2*n1 *n2   + 6*m1 *m2*n1 *n2 *n3  + 12*m1 *m2*n1 *n2 *n3

          4      3   12       4      3   10   2        4      3   8   4
    - 2*m1 *m2*n1 *n2   - 2*m1 *m2*n1 *n2  *n3  + 16*m1 *m2*n1 *n2 *n3

          3   2   12   3       3   2   12      2       3   2   10   5
    - 4*m1 *m2 *n1  *n2  + 6*m1 *m2 *n1  *n2*n3  - 4*m1 *m2 *n1  *n2

           3   2   10   3   2        3   2   10      4       3   2   8   7
    - 14*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2*n3  + 8*m1 *m2 *n1 *n2

           3   2   8   5   2       3   2   8   3   4       3   2   6   9
    - 32*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2 *n3  + 8*m1 *m2 *n1 *n2

          3   2   6   7   2        3   2   6   5   4       3   2   4   11
    + 8*m1 *m2 *n1 *n2 *n3  - 40*m1 *m2 *n1 *n2 *n3  - 4*m1 *m2 *n1 *n2

           3   2   4   9   2       3   2   4   7   4       3   2   2   13
    + 26*m1 *m2 *n1 *n2 *n3  + 8*m1 *m2 *n1 *n2 *n3  - 4*m1 *m2 *n1 *n2

          3   2   2   11   2        3   2   2   9   4       2   3   13   2
    + 6*m1 *m2 *n1 *n2  *n3  + 24*m1 *m2 *n1 *n2 *n3  + 2*m1 *m2 *n1  *n2

          2   3   11   4        2   3   11   2   2        2   3   9   6
    - 4*m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2 *n3  - 14*m1 *m2 *n1 *n2

          2   3   9   4   2        2   3   9   2   4        2   3   7   6   2
    + 6*m1 *m2 *n1 *n2 *n3  + 24*m1 *m2 *n1 *n2 *n3  - 40*m1 *m2 *n1 *n2 *n3

          2   3   7   4   4        2   3   5   10        2   3   5   8   2
    + 8*m1 *m2 *n1 *n2 *n3  + 14*m1 *m2 *n1 *n2   - 16*m1 *m2 *n1 *n2 *n3

           2   3   5   6   4       2   3   3   12        2   3   3   10   2
    - 40*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1 *n2   + 22*m1 *m2 *n1 *n2  *n3

          2   3   3   8   4       2   3      14        2   3      12   2
    - 8*m1 *m2 *n1 *n2 *n3  - 2*m1 *m2 *n1*n2   + 10*m1 *m2 *n1*n2  *n3

           2   3      10   4          4   12   3          4   10   5
    + 16*m1 *m2 *n1*n2  *n3  + 4*m1*m2 *n1  *n2  + 4*m1*m2 *n1  *n2

              4   10   3   2          4   8   7           4   8   5   2
    + 18*m1*m2 *n1  *n2 *n3  - 8*m1*m2 *n1 *n2  + 22*m1*m2 *n1 *n2 *n3

              4   8   3   4          4   6   9           4   6   7   2
    + 16*m1*m2 *n1 *n2 *n3  - 8*m1*m2 *n1 *n2  - 18*m1*m2 *n1 *n2 *n3

              4   6   5   4          4   4   11           4   4   9   2
    + 12*m1*m2 *n1 *n2 *n3  + 4*m1*m2 *n1 *n2   - 26*m1*m2 *n1 *n2 *n3

              4   4   7   4          4   2   13           4   2   9   4
    - 20*m1*m2 *n1 *n2 *n3  + 4*m1*m2 *n1 *n2   - 12*m1*m2 *n1 *n2 *n3

             4   13   2          4   11   4       5   11   4       5   9   6
    + 4*m1*m2 *n2  *n3  + 4*m1*m2 *n2  *n3  + 2*m2 *n1  *n2  + 4*m2 *n1 *n2

          5   9   4   2        5   7   6   2       5   7   4   4
    + 6*m2 *n1 *n2 *n3  + 10*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2 *n3

          5   5   10       5   5   8   2       5   5   6   4       5   3   12
    - 4*m2 *n1 *n2   - 2*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2 *n3  - 2*m2 *n1 *n2

           5   3   10   2       5   3   8   4       5      12   2
    - 10*m2 *n1 *n2  *n3  - 4*m2 *n1 *n2 *n3  - 4*m2 *n1*n2  *n3

          5      10   4
    - 4*m2 *n1*n2  *n3 )


r488=0


r489=0


r490=0


r493=0


r495=0


r498=0


r499=0


r4100=0


r4102=0


r4103=0


r4104=0


            2   2            2   2                                  2
r4105=( - m1 *n1 *r496 - 3*m1 *n2 *r496 + 4*m1*m2*n1*n2*r496 + m1*n1 *n2*r483

               3            2   2          2   2             3
        + m1*n2 *r483 - 3*m2 *n1 *r496 - m2 *n2 *r496 - m2*n1 *r483

                  2               2             3          3             2
        - m2*n1*n2 *r483)/(2*m1*n1 *n2 + 2*m1*n2  - 2*m2*n1  - 2*m2*n1*n2 )


r4106=0


       r483
r4107=------
        2


r4108=0


r4109=0


r4110=r483


       m1*n1*r496 + m2*n2*r496
r4111=-------------------------
            m1*n2 - m2*n1


r4112=0


r4113=0


            2   6   6   4   2             2   6   6   2   4
r4114=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

               2   6   4   6   2             2   6   4   4   4
        + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

               2   5      7   5              2   5      7   3   2
        + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

                2   5      7      4             2   5      5   7
        + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

                2   5      5   5   2              2   5      5   3   4
        - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   9             2   5      3   7   2
        + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

                2   5      3   5   4             2   5   8   3   2
        - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

               2   5   8      4             2   5   6   5   2
        - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

               2   5   6   3   4             2   5   4   7   2
        - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

               2   5   4   5   4              2   4   2   8   4
        - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

                2   4   2   8   2   2             2   4   2   8   4
        + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

                2   4   2   6   6              2   4   2   6   4   2
        - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   2   6   2   4             2   4   2   4   8
        + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

                2   4   2   4   6   2              2   4   2   4   4   4
        - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   10              2   4   2   2   8   2
        + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   2   2   6   4             2   4      9   4
        - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

               2   4      9   2   2             2   4      9   4
        - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

               2   4      7   6              2   4      7   4   2
        + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      7   2   4             2   4      5   8
        - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

               2   4      5   6   2              2   4      5   4   4
        - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   10             2   4      3   8   2
        + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

                2   4      3   6   4              2   3   3   9   3
        - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

                2   3   3   9      2              2   3   3   7   3   2
        - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   3   7      4              2   3   3   5   7
        - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

                2   3   3   5   5   2              2   3   3   5   3   4
        + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   3   3   9              2   3   3   3   7   2
        - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   3   3   5   4             2   3   3      11
        + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

                2   3   3      9   2              2   3   3      7   4
        - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

               2   3   2   10   3             2   3   2   10      2
        - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

               2   3   2   8   5             2   3   2   8   3   2
        - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   2   8      4              2   3   2   6   5   2
        + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   6   3   4             2   3   2   4   9
        + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

                2   3   2   4   7   2              2   3   2   4   5   4
        - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   11             2   3   2   2   9   2
        + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   3   2   2   7   4             2   2   4   10   2
        - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

                2   2   4   8   4              2   2   4   8   2   2
        + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   2   4   6   6              2   2   4   6   4   2
        + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   2   4   6   2   4              2   2   4   4   6   2
        - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   2   4   4   4   4              2   2   4   2   10
        + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

                2   2   4   2   8   2              2   2   4   2   6   4
        + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   10   2             2   2   4   8   4
        - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

               2   2   3   11   2             2   2   3   9   4
        + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

                2   2   3   9   2   2              2   2   3   7   6
        + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

                2   2   3   7   4   2              2   2   3   7   2   4
        + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   3   5   8              2   2   3   5   6   2
        - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   2   3   5   4   4             2   2   3   3   10
        + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

                2   2   3   3   8   2             2   2   3   3   6   4
        - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3      12              2   2   3      10   2
        + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

                2   2   3      8   4             2      5   9   3
        - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r214

               2      5   7   5              2      5   7   3   2
        - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

                2      5   5   7              2      5   5   5   2
        + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

                2      5   5   3   4              2      5   3   9
        - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *r214

                2      5   3   7   2              2      5   3   5   4
        + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

                2      5      9   2              2      5      7   4
        + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

               2      4   10   3             2      4   8   5
        + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

                2      4   8   3   2              2      4   6   5   2
        + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

                2      4   6   3   4             2      4   4   9
        + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

                2      4   4   7   2              2      4   4   5   4
        + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   2   11             2      4   2   9   2
        - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   2   7   4             2      4   11   2
        + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

               2      4   9   4             2   6   8   4
        - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

               2   6   6   6              2   6   6   4   2
        - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

               2   6   4   8              2   6   4   6   2
        - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

               2   6   4   4   4             2   6   2   8   2
        - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

               2   6   2   6   4             2   5   9   4
        - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *r216

               2   5   7   6             2   5   7   4   2
        + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

               2   5   5   8              2   5   5   6   2
        + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

               2   5   5   4   4             2   5   3   10
        + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

                2   5   3   8   2             2   5   3   6   4
        + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

               2   5      10   2             2   5      8   4
        + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

              5   10   3   2            5   10      4
        + 2*m1 *n1  *n2 *n3 *r496 - 4*m1 *n1  *n2*n3 *r496

              5   8   5   2            5   8   3   4          5   4   9   2
        + 3*m1 *n1 *n2 *n3 *r496 - 6*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496

              5   4   7   4            4      11   4
        + 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *m2*n1  *n2 *r496

              4      11   2   2            4      11   4
        - 7*m1 *m2*n1  *n2 *n3 *r496 + 2*m1 *m2*n1  *n3 *r496

              4      9   6            4      9   4   2
        + 5*m1 *m2*n1 *n2 *r496 - 7*m1 *m2*n1 *n2 *n3 *r496

               4      9   2   4            4      7   8
        - 16*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

              4      7   6   2             4      7   4   4
        + 6*m1 *m2*n1 *n2 *n3 *r496 - 30*m1 *m2*n1 *n2 *n3 *r496

            4      5   10            4      5   8   2
        - m1 *m2*n1 *n2  *r496 + 5*m1 *m2*n1 *n2 *n3 *r496

              4      5   6   4          4      3   12
        - 4*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *r496

            4      3   10   2            4      3   8   4
        - m1 *m2*n1 *n2  *n3 *r496 + 8*m1 *m2*n1 *n2 *n3 *r496

              3   2   12   3            3   2   12      2
        - 3*m1 *m2 *n1  *n2 *r496 + 3*m1 *m2 *n1  *n2*n3 *r496

              3   2   10   5             3   2   10   3   2
        - 2*m1 *m2 *n1  *n2 *r496 - 19*m1 *m2 *n1  *n2 *n3 *r496

              3   2   10      4             3   2   8   7
        + 8*m1 *m2 *n1  *n2*n3 *r496 + 10*m1 *m2 *n1 *n2 *r496

               3   2   8   5   2             3   2   8   3   4
        - 42*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

               3   2   6   9             3   2   6   7   2
        + 12*m1 *m2 *n1 *n2 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

               3   2   6   5   4          3   2   4   11
        - 60*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

               3   2   4   9   2             3   2   4   7   4
        + 11*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

              3   2   2   13            3   2   2   11   2
        - 2*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

               3   2   2   9   4          2   3   13   2
        + 12*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

              2   3   11   4            2   3   11   2   2
        - 5*m1 *m2 *n1  *n2 *r496 + 9*m1 *m2 *n1  *n2 *n3 *r496

               2   3   9   6             2   3   9   4   2
        - 13*m1 *m2 *n1 *n2 *r496 - 15*m1 *m2 *n1 *n2 *n3 *r496

               2   3   9   2   4             2   3   7   6   2
        + 12*m1 *m2 *n1 *n2 *n3 *r496 - 64*m1 *m2 *n1 *n2 *n3 *r496

               2   3   7   4   4             2   3   5   10
        - 16*m1 *m2 *n1 *n2 *n3 *r496 + 13*m1 *m2 *n1 *n2  *r496

               2   3   5   8   2             2   3   5   6   4
        - 42*m1 *m2 *n1 *n2 *n3 *r496 - 60*m1 *m2 *n1 *n2 *n3 *r496

              2   3   3   12            2   3   3   10   2
        + 5*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

               2   3   3   8   4          2   3      14
        - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1*n2  *r496

              2   3      12   2            2   3      10   4
        + 5*m1 *m2 *n1*n2  *n3 *r496 + 8*m1 *m2 *n1*n2  *n3 *r496

                 4   12   3             4   10   5
        + 2*m1*m2 *n1  *n2 *r496 - m1*m2 *n1  *n2 *r496

                 4   10   3   2                4   8   7
        + 9*m1*m2 *n1  *n2 *n3 *r496 - 12*m1*m2 *n1 *n2 *r496

               4   8   5   2               4   8   3   4
        - m1*m2 *n1 *n2 *n3 *r496 + 8*m1*m2 *n1 *n2 *n3 *r496

                  4   6   9                4   6   7   2
        - 10*m1*m2 *n1 *n2 *r496 - 40*m1*m2 *n1 *n2 *n3 *r496

                 4   6   5   4               4   4   11
        - 4*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n1 *n2  *r496

                  4   4   9   2                4   4   7   4
        - 39*m1*m2 *n1 *n2 *n3 *r496 - 30*m1*m2 *n1 *n2 *n3 *r496

                 4   2   13               4   2   11   2
        + 3*m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                  4   2   9   4               4   13   2
        - 16*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n2  *n3 *r496

                 4   11   4          5   11   4          5   9   6
        + 2*m1*m2 *n2  *n3 *r496 + m2 *n1  *n2 *r496 + m2 *n1 *n2 *r496

              5   9   4   2            5   7   8            5   7   6   2
        + 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 + 2*m2 *n1 *n2 *n3 *r496

              5   7   4   4            5   5   10            5   5   8   2
        + 2*m2 *n1 *n2 *n3 *r496 - 5*m2 *n1 *n2  *r496 - 9*m2 *n1 *n2 *n3 *r496

              5   3   12             5   3   10   2
        - 2*m2 *n1 *n2  *r496 - 12*m2 *n1 *n2  *n3 *r496

              5   3   8   4            5      12   2
        - 6*m2 *n1 *n2 *n3 *r496 - 4*m2 *n1*n2  *n3 *r496

              5      10   4            6   8   4   2       6   8   2   4
        - 4*m2 *n1*n2  *n3 *r496)/(4*m1 *n1 *n2 *n3  - 8*m1 *n1 *n2 *n3

          6   4   8   2       6   4   6   4       5      9   5
    - 4*m1 *n1 *n2 *n3  + 8*m1 *n1 *n2 *n3  + 4*m1 *m2*n1 *n2

           5      9   3   2        5      9      4       5      7   7
    - 20*m1 *m2*n1 *n2 *n3  + 16*m1 *m2*n1 *n2*n3  + 4*m1 *m2*n1 *n2

          5      7   5   2        5      7   3   4       5      5   9
    + 4*m1 *m2*n1 *n2 *n3  - 32*m1 *m2*n1 *n2 *n3  - 4*m1 *m2*n1 *n2

           5      5   7   2        5      5   5   4       5      3   11
    + 20*m1 *m2*n1 *n2 *n3  - 16*m1 *m2*n1 *n2 *n3  - 4*m1 *m2*n1 *n2

          5      3   9   2        5      3   7   4        4   2   10   4
    - 4*m1 *m2*n1 *n2 *n3  + 32*m1 *m2*n1 *n2 *n3  - 12*m1 *m2 *n1  *n2

           4   2   10   2   2       4   2   10   4       4   2   8   6
    + 28*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n3  - 4*m1 *m2 *n1 *n2

           4   2   8   4   2        4   2   8   2   4        4   2   6   8
    - 44*m1 *m2 *n1 *n2 *n3  + 64*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2

           4   2   6   6   2        4   2   6   4   4       4   2   4   10
    - 40*m1 *m2 *n1 *n2 *n3  - 40*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1 *n2

           4   2   4   8   2        4   2   4   6   4       4   2   2   12
    + 44*m1 *m2 *n1 *n2 *n3  - 64*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2

           4   2   2   10   2        4   2   2   8   4        3   3   11   3
    + 12*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2 *n3  + 12*m1 *m2 *n1  *n2

           3   3   11      2        3   3   9   5        3   3   9   3   2
    - 12*m1 *m2 *n1  *n2*n3  - 12*m1 *m2 *n1 *n2  + 76*m1 *m2 *n1 *n2 *n3

           3   3   9      4        3   3   7   7        3   3   7   3   4
    - 32*m1 *m2 *n1 *n2*n3  - 32*m1 *m2 *n1 *n2  + 96*m1 *m2 *n1 *n2 *n3

           3   3   5   9        3   3   5   7   2        3   3   3   11
    + 16*m1 *m2 *n1 *n2  - 96*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2

           3   3   3   9   2        3   3   3   7   4       3   3      13
    + 12*m1 *m2 *n1 *n2 *n3  - 96*m1 *m2 *n1 *n2 *n3  - 4*m1 *m2 *n1*n2

           3   3      11   2        3   3      9   4       2   4   12   2
    + 20*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2 *n3  - 4*m1 *m2 *n1  *n2

           2   4   10   4        2   4   10   2   2        2   4   8   6
    + 20*m1 *m2 *n1  *n2  - 36*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1 *n2

           2   4   8   4   2        2   4   8   2   4        2   4   6   8
    + 60*m1 *m2 *n1 *n2 *n3  - 48*m1 *m2 *n1 *n2 *n3  - 32*m1 *m2 *n1 *n2

           2   4   6   6   2        2   4   6   4   4        2   4   4   10
    + 64*m1 *m2 *n1 *n2 *n3  + 64*m1 *m2 *n1 *n2 *n3  - 12*m1 *m2 *n1 *n2

           2   4   4   8   2        2   4   4   6   4        2   4   2   12
    - 68*m1 *m2 *n1 *n2 *n3  + 40*m1 *m2 *n1 *n2 *n3  + 12*m1 *m2 *n1 *n2

           2   4   2   10   2        2   4   2   8   4       2   4   12   2
    - 28*m1 *m2 *n1 *n2  *n3  - 64*m1 *m2 *n1 *n2 *n3  + 8*m1 *m2 *n2  *n3

          2   4   10   4          5   11   3          5   9   5
    + 8*m1 *m2 *n2  *n3  - 8*m1*m2 *n1  *n2  + 4*m1*m2 *n1 *n2

              5   9   3   2           5   7   7          5   7   5   2
    - 36*m1*m2 *n1 *n2 *n3  + 20*m1*m2 *n1 *n2  + 4*m1*m2 *n1 *n2 *n3

              5   7   3   4          5   5   9           5   5   7   2
    - 32*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2  + 52*m1*m2 *n1 *n2 *n3

              5   5   5   4           5   3   11          5   3   9   2
    + 16*m1*m2 *n1 *n2 *n3  - 12*m1*m2 *n1 *n2   - 4*m1*m2 *n1 *n2 *n3

              5   3   7   4           5      11   2           5      9   4
    + 32*m1*m2 *n1 *n2 *n3  - 16*m1*m2 *n1*n2  *n3  - 16*m1*m2 *n1*n2 *n3

          6   10   4       6   8   6        6   8   4   2       6   6   8
    - 4*m2 *n1  *n2  - 4*m2 *n1 *n2  - 12*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2

          6   6   6   2       6   6   4   4       6   4   10
    - 8*m2 *n1 *n2 *n3  - 8*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2

           6   4   8   2       6   2   10   2       6   2   8   4
    + 12*m2 *n1 *n2 *n3  + 8*m2 *n1 *n2  *n3  + 8*m2 *n1 *n2 *n3 )


r4115=0


r4117=2*r496


r4118=0


r4120=0


r4121= - r496


r4122=0


r4123=0


r4124=0


         2          2
       n1 *r496 + n2 *r496
r4125=---------------------
        4*m1*n2 - 4*m2*n1


m3=0


c33=0


c23=0


c22=0


c13=0


c12=0


c11=0


b33=0


b32=0


b31=0


b23=0


b22=0


b21=0


b13=0


b12=0


b11=0


a23=0


a22=0


a13=0


a12=0


a11=0


              2   11   8   5   2             2   11   8   3   4
r425=( - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   11   6   7   2             2   11   6   5   4
       - 4*a33 *m1  *n1 *n2 *n3 *r214 + 8*a33 *m1  *n1 *n2 *n3 *r214

              2   10      9   6              2   10      9   4   2
       - 4*a33 *m1  *m2*n1 *n2 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      9   2   4             2   10      7   8
       - 24*a33 *m1  *m2*n1 *n2 *n3 *r214 - 8*a33 *m1  *m2*n1 *n2 *r214

               2   10      7   6   2              2   10      7   4   4
       + 12*a33 *m1  *m2*n1 *n2 *n3 *r214 + 24*a33 *m1  *m2*n1 *n2 *n3 *r214

              2   10      5   10              2   10      5   8   2
       - 4*a33 *m1  *m2*n1 *n2  *r214 - 12*a33 *m1  *m2*n1 *n2 *n3 *r214

               2   10      5   6   4             2   10   10   4   2
       + 48*a33 *m1  *m2*n1 *n2 *n3 *r214 - 2*a33 *m1  *n1  *n2 *n3 *r216

              2   10   10   2   4             2   10   8   6   2
       + 4*a33 *m1  *n1  *n2 *n3 *r216 - 4*a33 *m1  *n1 *n2 *n3 *r216

              2   10   8   4   4             2   10   6   8   2
       + 8*a33 *m1  *n1 *n2 *n3 *r216 - 2*a33 *m1  *n1 *n2 *n3 *r216

              2   10   6   6   4              2   9   2   10   5
       + 4*a33 *m1  *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

               2   9   2   10   3   2              2   9   2   10      4
       - 48*a33 *m1 *m2 *n1  *n2 *n3 *r214 + 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   9   2   8   7              2   9   2   8   5   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 + 44*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   9   2   8   3   4              2   9   2   6   9
       - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *r214

               2   9   2   6   7   2              2   9   2   6   5   4
       + 92*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   9   2   4   11               2   9   2   4   7   4
       - 16*a33 *m1 *m2 *n1 *n2  *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   9      11   5              2   9      11   3   2
       - 2*a33 *m1 *m2*n1  *n2 *r216 + 10*a33 *m1 *m2*n1  *n2 *n3 *r216

              2   9      11      4             2   9      9   7
       - 8*a33 *m1 *m2*n1  *n2*n3 *r216 - 6*a33 *m1 *m2*n1 *n2 *r216

               2   9      9   5   2             2   9      9   3   4
       + 14*a33 *m1 *m2*n1 *n2 *n3 *r216 + 8*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   9      7   9             2   9      7   7   2
       - 6*a33 *m1 *m2*n1 *n2 *r216 - 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   9      7   5   4             2   9      5   11
       + 40*a33 *m1 *m2*n1 *n2 *n3 *r216 - 2*a33 *m1 *m2*n1 *n2  *r216

              2   9      5   9   2              2   9      5   7   4
       - 6*a33 *m1 *m2*n1 *n2 *n3 *r216 + 24*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   8   3   11   4              2   8   3   11   2   2
       - 24*a33 *m1 *m2 *n1  *n2 *r214 + 40*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   8   3   11   4              2   8   3   9   6
       - 8*a33 *m1 *m2 *n1  *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

                2   8   3   9   4   2               2   8   3   9   2   4
       - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   7   8              2   8   3   7   6   2
       + 72*a33 *m1 *m2 *n1 *n2 *r214 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   8   3   7   4   4              2   8   3   5   10
       - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 12*a33 *m1 *m2 *n1 *n2  *r214

                2   8   3   5   8   2               2   8   3   5   6   4
       + 148*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   8   3   3   12              2   8   3   3   10   2
       - 24*a33 *m1 *m2 *n1 *n2  *r214 + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   8   3   3   8   4             2   8   2   12   4
       + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 6*a33 *m1 *m2 *n1  *n2 *r216

               2   8   2   12   2   2             2   8   2   12   4
       - 14*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

               2   8   2   10   6              2   8   2   10   4   2
       + 10*a33 *m1 *m2 *n1  *n2 *r216 + 12*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   8   2   10   2   4             2   8   2   8   8
       - 36*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 6*a33 *m1 *m2 *n1 *n2 *r216

               2   8   2   8   6   2              2   8   2   8   4   4
       + 66*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   6   10              2   8   2   6   8   2
       - 18*a33 *m1 *m2 *n1 *n2  *r216 + 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   8   2   6   6   4             2   8   2   4   12
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2  *r216

               2   8   2   4   8   4              2   7   4   12   3
       + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 16*a33 *m1 *m2 *n1  *n2 *r214

               2   7   4   12      2              2   7   4   10   5
       - 12*a33 *m1 *m2 *n1  *n2*n3 *r214 - 48*a33 *m1 *m2 *n1  *n2 *r214

                2   7   4   10   3   2              2   7   4   10      4
       + 132*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   7   4   8   7               2   7   4   8   5   2
       - 64*a33 *m1 *m2 *n1 *n2 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   8   3   4              2   7   4   6   9
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *r214

                2   7   4   6   7   2               2   7   4   6   5   4
       - 264*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   7   4   4   11              2   7   4   4   9   2
       + 48*a33 *m1 *m2 *n1 *n2  *r214 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   7   4   4   7   4              2   7   4   2   13
       - 240*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2  *r214

               2   7   4   2   11   2               2   7   4   2   9   4
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   7   3   13   3             2   7   3   13      2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   7   3   11   5              2   7   3   11   3   2
       + 4*a33 *m1 *m2 *n1  *n2 *r216 - 44*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   7   3   11      4              2   7   3   9   7
       + 16*a33 *m1 *m2 *n1  *n2*n3 *r216 + 36*a33 *m1 *m2 *n1 *n2 *r216

               2   7   3   9   5   2              2   7   3   9   3   4
       - 52*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   7   9              2   7   3   7   7   2
       + 24*a33 *m1 *m2 *n1 *n2 *r216 + 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   7   5   4              2   7   3   5   11
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 14*a33 *m1 *m2 *n1 *n2  *r216

               2   7   3   5   9   2              2   7   3   5   7   4
       + 94*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   7   3   3   13              2   7   3   3   11   2
       - 12*a33 *m1 *m2 *n1 *n2  *r216 + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   7   3   3   9   4             2   6   5   13   2
       + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   6   5   11   4              2   6   5   11   2   2
       + 32*a33 *m1 *m2 *n1  *n2 *r214 - 20*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   6   5   11   4             2   6   5   9   6
       - 8*a33 *m1 *m2 *n1  *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2 *r214

                2   6   5   9   4   2              2   6   5   9   2   4
       + 124*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   7   8              2   6   5   7   6   2
       - 80*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   6   5   7   4   4             2   6   5   5   10
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

                2   6   5   5   8   2              2   6   5   5   6   4
       - 200*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   6   5   3   12              2   6   5   3   10   2
       + 32*a33 *m1 *m2 *n1 *n2  *r214 - 44*a33 *m1 *m2 *n1 *n2  *n3 *r214

                2   6   5   3   8   4             2   6   5      14
       - 152*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1*n2  *r214

               2   6   5      12   2              2   6   5      10   4
       + 36*a33 *m1 *m2 *n1*n2  *n3 *r214 + 48*a33 *m1 *m2 *n1*n2  *n3 *r214

              2   6   4   14   2              2   6   4   12   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 12*a33 *m1 *m2 *n1  *n2 *r216

               2   6   4   12   2   2             2   6   4   12   4
       + 16*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1  *n3 *r216

               2   6   4   10   6              2   6   4   10   4   2
       - 20*a33 *m1 *m2 *n1  *n2 *r216 - 46*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   6   4   10   2   4              2   6   4   8   8
       + 20*a33 *m1 *m2 *n1  *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *r216

                2   6   4   8   6   2              2   6   4   8   4   4
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   6   4   6   10             2   6   4   6   8   2
       + 42*a33 *m1 *m2 *n1 *n2  *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   6   4   6   6   4             2   6   4   4   12
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m1 *m2 *n1 *n2  *r216

               2   6   4   4   10   2              2   6   4   4   8   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   6   4   2   14              2   6   4   2   12   2
       - 8*a33 *m1 *m2 *n1 *n2  *r216 + 30*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   6   4   2   10   4              2   5   6   12      2
       + 60*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 12*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   10   3   2              2   5   6   10      4
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1  *n2*n3 *r214

               2   5   6   8   5   2               2   5   6   8   3   4
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   6   7   2              2   5   6   6   5   4
       - 40*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   4   9   2               2   5   6   4   7   4
       - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 144*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   5   6   2   11   2              2   5   6   2   9   4
       - 28*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   5   6   13   2             2   5   6   11   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

              2   5   5   13   3             2   5   5   13      2
       + 2*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   5   5   11   5             2   5   5   11   3   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   5   5   11      4              2   5   5   9   7
       + 24*a33 *m1 *m2 *n1  *n2*n3 *r216 - 18*a33 *m1 *m2 *n1 *n2 *r216

               2   5   5   9   5   2             2   5   5   9   3   4
       - 46*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   7   7   2              2   5   5   7   5   4
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   5   11              2   5   5   5   9   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 42*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   5   5   5   7   4             2   5   5   3   13
       - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

               2   5   5   3   11   2             2   5   5   3   9   4
       + 26*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   5   5      15              2   5   5      13   2
       - 2*a33 *m1 *m2 *n1*n2  *r216 + 18*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   5   5      11   4             2   4   7   13   2
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   4   7   11   4              2   4   7   11   2   2
       + 32*a33 *m1 *m2 *n1  *n2 *r214 - 60*a33 *m1 *m2 *n1  *n2 *n3 *r214

              2   4   7   9   6               2   4   7   9   4   2
       - 4*a33 *m1 *m2 *n1 *n2 *r214 + 180*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   9   2   4              2   4   7   7   8
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 80*a33 *m1 *m2 *n1 *n2 *r214

                2   4   7   7   6   2               2   4   7   7   4   4
       + 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 240*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7   5   10               2   4   7   5   8   2
       - 4*a33 *m1 *m2 *n1 *n2  *r214 - 168*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   4   7   5   6   4              2   4   7   3   12
       + 144*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 32*a33 *m1 *m2 *n1 *n2  *r214

               2   4   7   3   10   2               2   4   7   3   8   4
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 192*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   7      14              2   4   7      12   2
       - 4*a33 *m1 *m2 *n1*n2  *r214 + 12*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   4   7      10   4             2   4   6   14   2
       + 24*a33 *m1 *m2 *n1*n2  *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

              2   4   6   12   4              2   4   6   12   2   2
       - 6*a33 *m1 *m2 *n1  *n2 *r216 + 30*a33 *m1 *m2 *n1  *n2 *n3 *r216

               2   4   6   10   6              2   4   6   10   2   4
       - 18*a33 *m1 *m2 *n1  *n2 *r216 + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216

                2   4   6   8   6   2              2   4   6   8   4   4
       - 100*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   4   6   6   10              2   4   6   6   8   2
       + 18*a33 *m1 *m2 *n1 *n2  *r216 - 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

                2   4   6   6   6   4             2   4   6   4   12
       - 128*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m1 *m2 *n1 *n2  *r216

              2   4   6   4   10   2              2   4   6   4   8   4
       - 6*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   4   6   2   14             2   4   6   2   12   2
       - 2*a33 *m1 *m2 *n1 *n2  *r216 + 8*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   4   6   2   10   4             2   4   6   14   2
       + 20*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2   4   6   12   4              2   3   8   12   3
       + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

               2   3   8   10   5               2   3   8   10   3   2
       + 48*a33 *m1 *m2 *n1  *n2 *r214 - 120*a33 *m1 *m2 *n1  *n2 *n3 *r214

               2   3   8   8   7               2   3   8   8   5   2
       + 64*a33 *m1 *m2 *n1 *n2 *r214 + 140*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   8   3   4              2   3   8   6   9
       - 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 64*a33 *m1 *m2 *n1 *n2 *r214

                2   3   8   6   7   2               2   3   8   6   5   4
       + 260*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 152*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   8   4   11              2   3   8   4   9   2
       - 48*a33 *m1 *m2 *n1 *n2  *r214 - 72*a33 *m1 *m2 *n1 *n2 *n3 *r214

                2   3   8   4   7   4              2   3   8   2   13
       + 192*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2  *r214

               2   3   8   2   11   2               2   3   8   2   9   4
       - 64*a33 *m1 *m2 *n1 *n2  *n3 *r214 - 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   8   13   2             2   3   8   11   4
       + 8*a33 *m1 *m2 *n2  *n3 *r214 + 8*a33 *m1 *m2 *n2  *n3 *r214

              2   3   7   13   3             2   3   7   11   5
       + 8*a33 *m1 *m2 *n1  *n2 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r216

               2   3   7   11   3   2              2   3   7   9   7
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 42*a33 *m1 *m2 *n1 *n2 *r216

               2   3   7   9   5   2              2   3   7   9   3   4
       + 50*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 80*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   7   9               2   3   7   7   7   2
       - 24*a33 *m1 *m2 *n1 *n2 *r216 - 104*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   7   5   4              2   3   7   5   11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 20*a33 *m1 *m2 *n1 *n2  *r216

                2   3   7   5   9   2              2   3   7   5   7   4
       - 108*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 96*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   7   3   13             2   3   7   3   11   2
       + 12*a33 *m1 *m2 *n1 *n2  *r216 - 4*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   3   7   3   9   4             2   3   7      15
       - 64*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1*n2  *r216

               2   3   7      13   2              2   3   7      11   4
       + 10*a33 *m1 *m2 *n1*n2  *n3 *r216 + 16*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   9   11   4              2   2   9   9   6
       - 24*a33 *m1 *m2 *n1  *n2 *r214 + 12*a33 *m1 *m2 *n1 *n2 *r214

                2   2   9   9   4   2              2   2   9   7   8
       - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 72*a33 *m1 *m2 *n1 *n2 *r214

               2   2   9   7   6   2               2   2   9   7   4   4
       - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   5   10               2   2   9   5   8   2
       + 12*a33 *m1 *m2 *n1 *n2  *r214 + 172*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9   5   6   4              2   2   9   3   12
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 24*a33 *m1 *m2 *n1 *n2  *r214

               2   2   9   3   10   2               2   2   9   3   8   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3 *r214 + 112*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   9      12   2              2   2   9      10   4
       - 24*a33 *m1 *m2 *n1*n2  *n3 *r214 - 24*a33 *m1 *m2 *n1*n2  *n3 *r214

               2   2   8   12   4              2   2   8   10   6
       + 12*a33 *m1 *m2 *n1  *n2 *r216 + 14*a33 *m1 *m2 *n1  *n2 *r216

               2   2   8   10   4   2              2   2   8   8   8
       + 60*a33 *m1 *m2 *n1  *n2 *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *r216

               2   2   8   8   6   2              2   2   8   8   4   4
       + 96*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 60*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   6   10              2   2   8   6   8   2
       - 36*a33 *m1 *m2 *n1 *n2  *r216 - 14*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   8   6   6   4             2   2   8   4   12
       + 76*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1 *n2  *r216

               2   2   8   4   10   2              2   2   8   4   8   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3 *r216 - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   8   2   14              2   2   8   2   12   2
       + 6*a33 *m1 *m2 *n1 *n2  *r216 - 18*a33 *m1 *m2 *n1 *n2  *n3 *r216

               2   2   8   2   10   4             2   2   8   14   2
       - 36*a33 *m1 *m2 *n1 *n2  *n3 *r216 + 4*a33 *m1 *m2 *n2  *n3 *r216

              2   2   8   12   4              2      10   10   5
       + 4*a33 *m1 *m2 *n2  *n3 *r216 - 16*a33 *m1*m2  *n1  *n2 *r214

               2      10   8   7              2      10   8   5   2
       - 16*a33 *m1*m2  *n1 *n2 *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   9              2      10   6   7   2
       + 16*a33 *m1*m2  *n1 *n2 *r214 - 60*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   6   5   4              2      10   4   11
       - 48*a33 *m1*m2  *n1 *n2 *n3 *r214 + 16*a33 *m1*m2  *n1 *n2  *r214

               2      10   4   9   2              2      10   4   7   4
       + 24*a33 *m1*m2  *n1 *n2 *n3 *r214 - 24*a33 *m1*m2  *n1 *n2 *n3 *r214

               2      10   2   11   2              2      10   2   9   4
       + 24*a33 *m1*m2  *n1 *n2  *n3 *r214 + 24*a33 *m1*m2  *n1 *n2 *n3 *r214

              2      9   11   5              2      9   9   7
       + 8*a33 *m1*m2 *n1  *n2 *r216 + 18*a33 *m1*m2 *n1 *n2 *r216

               2      9   9   5   2             2      9   7   9
       + 30*a33 *m1*m2 *n1 *n2 *n3 *r216 + 6*a33 *m1*m2 *n1 *n2 *r216

               2      9   7   7   2              2      9   7   5   4
       + 66*a33 *m1*m2 *n1 *n2 *n3 *r216 + 24*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   5   11              2      9   5   9   2
       - 10*a33 *m1*m2 *n1 *n2  *r216 + 34*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      9   5   7   4             2      9   3   13
       + 40*a33 *m1*m2 *n1 *n2 *n3 *r216 - 6*a33 *m1*m2 *n1 *n2  *r216

               2      9   3   11   2             2      9   3   9   4
       - 10*a33 *m1*m2 *n1 *n2  *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      9      13   2             2      9      11   4
       - 8*a33 *m1*m2 *n1*n2  *n3 *r216 - 8*a33 *m1*m2 *n1*n2  *n3 *r216

              2   11   9   6             2   11   7   8
       - 4*a33 *m2  *n1 *n2 *r214 - 8*a33 *m2  *n1 *n2 *r214

               2   11   7   6   2             2   11   5   10
       - 12*a33 *m2  *n1 *n2 *n3 *r214 - 4*a33 *m2  *n1 *n2  *r214

               2   11   5   8   2             2   11   5   6   4
       - 20*a33 *m2  *n1 *n2 *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   11   3   10   2             2   11   3   8   4
       - 8*a33 *m2  *n1 *n2  *n3 *r214 - 8*a33 *m2  *n1 *n2 *n3 *r214

              2   10   10   6             2   10   8   8
       + 2*a33 *m2  *n1  *n2 *r216 + 6*a33 *m2  *n1 *n2 *r216

              2   10   8   6   2             2   10   6   10
       + 6*a33 *m2  *n1 *n2 *n3 *r216 + 6*a33 *m2  *n1 *n2  *r216

               2   10   6   8   2             2   10   6   6   4
       + 16*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2 *n3 *r216

              2   10   4   12              2   10   4   10   2
       + 2*a33 *m2  *n1 *n2  *r216 + 14*a33 *m2  *n1 *n2  *n3 *r216

              2   10   4   8   4             2   10   2   12   2
       + 8*a33 *m2  *n1 *n2 *n3 *r216 + 4*a33 *m2  *n1 *n2  *n3 *r216

              2   10   2   10   4            10   12   4   2
       + 4*a33 *m2  *n1 *n2  *n3 *r216 + 2*m1  *n1  *n2 *n3 *r496

             10   12   2   4            10   10   6   2
       - 4*m1  *n1  *n2 *n3 *r496 - 7*m1  *n1  *n2 *n3 *r496

              10   10   4   4            10   8   8   2
       + 14*m1  *n1  *n2 *n3 *r496 - 4*m1  *n1 *n2 *n3 *r496

             10   8   6   4            10   6   10   2
       + 8*m1  *n1 *n2 *n3 *r496 + 5*m1  *n1 *n2  *n3 *r496

              10   6   8   4            9      13   5
       - 10*m1  *n1 *n2 *n3 *r496 + 2*m1 *m2*n1  *n2 *r496

              9      13   3   2             9      13      4
       - 11*m1 *m2*n1  *n2 *n3 *r496 + 10*m1 *m2*n1  *n2*n3 *r496

             9      11   7             9      11   5   2
       - 5*m1 *m2*n1  *n2 *r496 + 54*m1 *m2*n1  *n2 *n3 *r496

              9      11   3   4             9      9   9
       - 78*m1 *m2*n1  *n2 *n3 *r496 - 11*m1 *m2*n1 *n2 *r496

             9      9   7   2             9      9   5   4
       - 4*m1 *m2*n1 *n2 *n3 *r496 + 74*m1 *m2*n1 *n2 *n3 *r496

           9      7   11             9      7   9   2
       + m1 *m2*n1 *n2  *r496 - 54*m1 *m2*n1 *n2 *n3 *r496

               9      7   7   4            9      5   13
       + 102*m1 *m2*n1 *n2 *n3 *r496 + 5*m1 *m2*n1 *n2  *r496

              9      5   11   2             9      5   9   4
       + 15*m1 *m2*n1 *n2  *n3 *r496 - 60*m1 *m2*n1 *n2 *n3 *r496

             9   12   5   2            9   12   3   4
       + 2*m1 *n1  *n2 *n3 *r483 - 4*m1 *n1  *n2 *n3 *r483

             9   10   7   2            9   10   5   4
       + 2*m1 *n1  *n2 *n3 *r483 - 4*m1 *n1  *n2 *n3 *r483

             9   8   9   2            9   8   7   4
       - 2*m1 *n1 *n2 *n3 *r483 + 4*m1 *n1 *n2 *n3 *r483

             9   6   11   2            9   6   9   4
       - 2*m1 *n1 *n2  *n3 *r483 + 4*m1 *n1 *n2 *n3 *r483

             8   2   14   4             8   2   14   2   2
       - 7*m1 *m2 *n1  *n2 *r496 + 18*m1 *m2 *n1  *n2 *n3 *r496

             8   2   14   4             8   2   12   6
       - 6*m1 *m2 *n1  *n3 *r496 + 35*m1 *m2 *n1  *n2 *r496

               8   2   12   4   2              8   2   12   2   4
       - 168*m1 *m2 *n1  *n2 *n3 *r496 + 144*m1 *m2 *n1  *n2 *n3 *r496

              8   2   10   8              8   2   10   6   2
       + 23*m1 *m2 *n1  *n2 *r496 + 171*m1 *m2 *n1  *n2 *n3 *r496

               8   2   10   4   4             8   2   8   10
       - 384*m1 *m2 *n1  *n2 *n3 *r496 - 67*m1 *m2 *n1 *n2  *r496

               8   2   8   8   2             8   2   8   6   4
       + 198*m1 *m2 *n1 *n2 *n3 *r496 + 66*m1 *m2 *n1 *n2 *n3 *r496

              8   2   6   12              8   2   6   10   2
       - 28*m1 *m2 *n1 *n2  *r496 - 159*m1 *m2 *n1 *n2  *n3 *r496

               8   2   6   8   4             8   2   4   14
       + 450*m1 *m2 *n1 *n2 *n3 *r496 + 20*m1 *m2 *n1 *n2  *r496

               8   2   4   10   4            8      13   6
       - 150*m1 *m2 *n1 *n2  *n3 *r496 + 2*m1 *m2*n1  *n2 *r483

              8      13   4   2             8      13   2   4
       - 12*m1 *m2*n1  *n2 *n3 *r483 + 12*m1 *m2*n1  *n2 *n3 *r483

             8      11   8            8      11   6   2
       + 4*m1 *m2*n1  *n2 *r483 - 6*m1 *m2*n1  *n2 *n3 *r483

              8      11   4   4             8      9   8   2
       - 12*m1 *m2*n1  *n2 *n3 *r483 + 18*m1 *m2*n1 *n2 *n3 *r483

              8      9   6   4            8      7   12
       - 36*m1 *m2*n1 *n2 *n3 *r483 - 4*m1 *m2*n1 *n2  *r483

             8      7   10   2             8      7   8   4
       + 6*m1 *m2*n1 *n2  *n3 *r483 + 12*m1 *m2*n1 *n2 *n3 *r483

             8      5   14            8      5   12   2
       - 2*m1 *m2*n1 *n2  *r483 - 6*m1 *m2*n1 *n2  *n3 *r483

              8      5   10   4            7   3   15   3
       + 24*m1 *m2*n1 *n2  *n3 *r483 + 8*m1 *m2 *n1  *n2 *r496

             7   3   15      2             7   3   13   5
       - 9*m1 *m2 *n1  *n2*n3 *r496 - 89*m1 *m2 *n1  *n2 *r496

               7   3   13   3   2             7   3   13      4
       + 237*m1 *m2 *n1  *n2 *n3 *r496 - 90*m1 *m2 *n1  *n2*n3 *r496

              7   3   11   7              7   3   11   5   2
       + 46*m1 *m2 *n1  *n2 *r496 - 596*m1 *m2 *n1  *n2 *n3 *r496

               7   3   11   3   4              7   3   9   9
       + 664*m1 *m2 *n1  *n2 *n3 *r496 + 206*m1 *m2 *n1 *n2 *r496

              7   3   9   7   2              7   3   9   5   4
       - 38*m1 *m2 *n1 *n2 *n3 *r496 - 836*m1 *m2 *n1 *n2 *n3 *r496

              7   3   7   11              7   3   7   9   2
       - 92*m1 *m2 *n1 *n2  *r496 + 735*m1 *m2 *n1 *n2 *n3 *r496

               7   3   7   7   4              7   3   5   13
       - 384*m1 *m2 *n1 *n2 *n3 *r496 - 125*m1 *m2 *n1 *n2  *r496

               7   3   5   11   2               7   3   5   9   4
       - 119*m1 *m2 *n1 *n2  *n3 *r496 + 1006*m1 *m2 *n1 *n2 *n3 *r496

              7   3   3   15             7   3   3   13   2
       + 30*m1 *m2 *n1 *n2  *r496 - 50*m1 *m2 *n1 *n2  *n3 *r496

               7   3   3   11   4            7   2   14   5
       - 200*m1 *m2 *n1 *n2  *n3 *r496 - 8*m1 *m2 *n1  *n2 *r483

              7   2   14   3   2             7   2   14      4
       + 24*m1 *m2 *n1  *n2 *n3 *r483 - 12*m1 *m2 *n1  *n2*n3 *r483

             7   2   12   7             7   2   12   5   2
       - 8*m1 *m2 *n1  *n2 *r483 - 24*m1 *m2 *n1  *n2 *n3 *r483

              7   2   12   3   4             7   2   10   9
       + 60*m1 *m2 *n1  *n2 *n3 *r483 + 16*m1 *m2 *n1  *n2 *r483

              7   2   10   7   2             7   2   10   5   4
       - 72*m1 *m2 *n1  *n2 *n3 *r483 + 24*m1 *m2 *n1  *n2 *n3 *r483

              7   2   8   11             7   2   8   9   2
       + 16*m1 *m2 *n1 *n2  *r483 + 24*m1 *m2 *n1 *n2 *n3 *r483

               7   2   8   7   4            7   2   6   13
       - 120*m1 *m2 *n1 *n2 *n3 *r483 - 8*m1 *m2 *n1 *n2  *r483

              7   2   6   11   2             7   2   6   9   4
       + 48*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1 *n2 *n3 *r483

             7   2   4   15             7   2   4   11   4
       - 8*m1 *m2 *n1 *n2  *r483 + 60*m1 *m2 *n1 *n2  *n3 *r483

             6   4   16   2             6   4   14   4
       - 3*m1 *m2 *n1  *n2 *r496 + 98*m1 *m2 *n1  *n2 *r496

               6   4   14   2   2             6   4   14   4
       - 131*m1 *m2 *n1  *n2 *n3 *r496 + 10*m1 *m2 *n1  *n3 *r496

               6   4   12   6              6   4   12   4   2
       - 222*m1 *m2 *n1  *n2 *r496 + 880*m1 *m2 *n1  *n2 *n3 *r496

               6   4   12   2   4              6   4   10   8
       - 422*m1 *m2 *n1  *n2 *n3 *r496 - 200*m1 *m2 *n1  *n2 *r496

               6   4   10   6   2               6   4   10   4   4
       - 747*m1 *m2 *n1  *n2 *n3 *r496 + 1506*m1 *m2 *n1  *n2 *n3 *r496

               6   4   8   10              6   4   8   8   2
       + 433*m1 *m2 *n1 *n2  *r496 - 968*m1 *m2 *n1 *n2 *n3 *r496

               6   4   8   6   4             6   4   6   12
       - 812*m1 *m2 *n1 *n2 *n3 *r496 + 90*m1 *m2 *n1 *n2  *r496

                6   4   6   10   2               6   4   6   8   4
       + 1045*m1 *m2 *n1 *n2  *n3 *r496 - 1310*m1 *m2 *n1 *n2 *n3 *r496

               6   4   4   14              6   4   4   12   2
       - 200*m1 *m2 *n1 *n2  *r496 + 180*m1 *m2 *n1 *n2  *n3 *r496

                6   4   4   10   4             6   4   2   16
       + 1290*m1 *m2 *n1 *n2  *n3 *r496 + 20*m1 *m2 *n1 *n2  *r496

              6   4   2   14   2              6   4   2   12   4
       - 75*m1 *m2 *n1 *n2  *n3 *r496 - 150*m1 *m2 *n1 *n2  *n3 *r496

              6   3   15   4             6   3   15   2   2
       + 12*m1 *m2 *n1  *n2 *r483 - 20*m1 *m2 *n1  *n2 *n3 *r483

             6   3   15   4            6   3   13   6
       + 4*m1 *m2 *n1  *n3 *r483 - 8*m1 *m2 *n1  *n2 *r483

              6   3   13   4   2             6   3   13   2   4
       + 88*m1 *m2 *n1  *n2 *n3 *r483 - 68*m1 *m2 *n1  *n2 *n3 *r483

              6   3   11   8             6   3   11   6   2
       - 52*m1 *m2 *n1  *n2 *r483 + 68*m1 *m2 *n1  *n2 *n3 *r483

               6   3   11   4   4              6   3   9   8   2
       + 104*m1 *m2 *n1  *n2 *n3 *r483 - 168*m1 *m2 *n1 *n2 *n3 *r483

               6   3   9   6   4             6   3   7   12
       + 168*m1 *m2 *n1 *n2 *n3 *r483 + 52*m1 *m2 *n1 *n2  *r483

              6   3   7   10   2              6   3   7   8   4
       - 68*m1 *m2 *n1 *n2  *n3 *r483 - 188*m1 *m2 *n1 *n2 *n3 *r483

             6   3   5   14             6   3   5   12   2
       + 8*m1 *m2 *n1 *n2  *r483 + 80*m1 *m2 *n1 *n2  *n3 *r483

               6   3   5   10   4             6   3   3   16
       - 100*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1 *n2  *r483

              6   3   3   14   2             6   3   3   12   4
       + 20*m1 *m2 *n1 *n2  *n3 *r483 + 80*m1 *m2 *n1 *n2  *n3 *r483

              5   5   15   3             5   5   15      2
       - 44*m1 *m2 *n1  *n2 *r496 + 15*m1 *m2 *n1  *n2*n3 *r496

               5   5   13   5              5   5   13   3   2
       + 289*m1 *m2 *n1  *n2 *r496 - 522*m1 *m2 *n1  *n2 *n3 *r496

              5   5   13      4             5   5   11   7
       + 60*m1 *m2 *n1  *n2*n3 *r496 - 95*m1 *m2 *n1  *n2 *r496

                5   5   11   5   2              5   5   11   3   4
       + 1446*m1 *m2 *n1  *n2 *n3 *r496 - 978*m1 *m2 *n1  *n2 *n3 *r496

               5   5   9   9             5   5   9   7   2
       - 603*m1 *m2 *n1 *n2 *r496 + 87*m1 *m2 *n1 *n2 *n3 *r496

                5   5   9   5   4              5   5   7   11
       + 1896*m1 *m2 *n1 *n2 *n3 *r496 + 300*m1 *m2 *n1 *n2  *r496

                5   5   7   9   2              5   5   5   13
       - 1809*m1 *m2 *n1 *n2 *n3 *r496 + 325*m1 *m2 *n1 *n2  *r496

               5   5   5   11   2               5   5   5   9   4
       + 528*m1 *m2 *n1 *n2  *n3 *r496 - 1896*m1 *m2 *n1 *n2 *n3 *r496

               5   5   3   15              5   5   3   13   2
       - 145*m1 *m2 *n1 *n2  *r496 + 396*m1 *m2 *n1 *n2  *n3 *r496

               5   5   3   11   4            5   5      17
       + 978*m1 *m2 *n1 *n2  *n3 *r496 + 5*m1 *m2 *n1*n2  *r496

              5   5      15   2             5   5      13   4
       - 45*m1 *m2 *n1*n2  *n3 *r496 - 60*m1 *m2 *n1*n2  *n3 *r496

             5   4   16   3            5   4   16      2
       - 8*m1 *m2 *n1  *n2 *r483 + 6*m1 *m2 *n1  *n2*n3 *r483

              5   4   14   5             5   4   14   3   2
       + 32*m1 *m2 *n1  *n2 *r483 - 90*m1 *m2 *n1  *n2 *n3 *r483

              5   4   14      4             5   4   12   7
       + 24*m1 *m2 *n1  *n2*n3 *r483 + 48*m1 *m2 *n1  *n2 *r483

              5   4   12   5   2              5   4   12   3   4
       + 78*m1 *m2 *n1  *n2 *n3 *r483 - 156*m1 *m2 *n1  *n2 *n3 *r483

              5   4   10   9              5   4   10   7   2
       - 72*m1 *m2 *n1  *n2 *r483 + 270*m1 *m2 *n1  *n2 *n3 *r483

              5   4   10   5   4             5   4   8   11
       + 36*m1 *m2 *n1  *n2 *n3 *r483 - 72*m1 *m2 *n1 *n2  *r483

               5   4   8   9   2              5   4   8   7   4
       - 114*m1 *m2 *n1 *n2 *n3 *r483 + 336*m1 *m2 *n1 *n2 *n3 *r483

              5   4   6   13              5   4   6   11   2
       + 48*m1 *m2 *n1 *n2  *r483 - 210*m1 *m2 *n1 *n2  *n3 *r483

               5   4   6   9   4             5   4   4   15
       - 120*m1 *m2 *n1 *n2 *n3 *r483 + 32*m1 *m2 *n1 *n2  *r483

              5   4   4   13   2              5   4   4   11   4
       + 30*m1 *m2 *n1 *n2  *n3 *r483 - 180*m1 *m2 *n1 *n2  *n3 *r483

             5   4   2   17             5   4   2   15   2
       - 8*m1 *m2 *n1 *n2  *r483 + 30*m1 *m2 *n1 *n2  *n3 *r483

              5   4   2   13   4            4   6   16   2
       + 60*m1 *m2 *n1 *n2  *n3 *r483 + 5*m1 *m2 *n1  *n2 *r496

               4   6   14   4             4   6   14   2   2
       - 145*m1 *m2 *n1  *n2 *r496 + 75*m1 *m2 *n1  *n2 *n3 *r496

               4   6   12   6              4   6   12   4   2
       + 325*m1 *m2 *n1  *n2 *r496 - 960*m1 *m2 *n1  *n2 *n3 *r496

               4   6   12   2   4              4   6   10   8
       + 150*m1 *m2 *n1  *n2 *n3 *r496 + 300*m1 *m2 *n1  *n2 *r496

                4   6   10   6   2               4   6   10   4   4
       + 1065*m1 *m2 *n1  *n2 *n3 *r496 - 1290*m1 *m2 *n1  *n2 *n3 *r496

               4   6   8   10               4   6   8   8   2
       - 603*m1 *m2 *n1 *n2  *r496 + 1154*m1 *m2 *n1 *n2 *n3 *r496

                4   6   8   6   4             4   6   6   12
       + 1310*m1 *m2 *n1 *n2 *n3 *r496 - 95*m1 *m2 *n1 *n2  *r496

                4   6   6   10   2              4   6   6   8   4
       - 1441*m1 *m2 *n1 *n2  *n3 *r496 + 812*m1 *m2 *n1 *n2 *n3 *r496

               4   6   4   14              4   6   4   12   2
       + 289*m1 *m2 *n1 *n2  *r496 - 204*m1 *m2 *n1 *n2  *n3 *r496

                4   6   4   10   4             4   6   2   16
       - 1506*m1 *m2 *n1 *n2  *n3 *r496 - 44*m1 *m2 *n1 *n2  *r496

               4   6   2   14   2              4   6   2   12   4
       + 281*m1 *m2 *n1 *n2  *n3 *r496 + 422*m1 *m2 *n1 *n2  *n3 *r496

              4   6   16   2             4   6   14   4
       - 10*m1 *m2 *n2  *n3 *r496 - 10*m1 *m2 *n2  *n3 *r496

             4   5   17   2             4   5   15   4
       + 2*m1 *m2 *n1  *n2 *r483 - 28*m1 *m2 *n1  *n2 *r483

              4   5   15   2   2            4   5   13   6
       + 30*m1 *m2 *n1  *n2 *n3 *r483 + 8*m1 *m2 *n1  *n2 *r483

               4   5   13   4   2             4   5   13   2   4
       - 150*m1 *m2 *n1  *n2 *n3 *r483 + 60*m1 *m2 *n1  *n2 *n3 *r483

               4   5   11   8             4   5   11   6   2
       + 108*m1 *m2 *n1  *n2 *r483 - 90*m1 *m2 *n1  *n2 *n3 *r483

               4   5   11   4   4              4   5   9   8   2
       - 180*m1 *m2 *n1  *n2 *n3 *r483 + 330*m1 *m2 *n1 *n2 *n3 *r483

               4   5   9   6   4              4   5   7   12
       - 120*m1 *m2 *n1 *n2 *n3 *r483 - 108*m1 *m2 *n1 *n2  *r483

               4   5   7   10   2              4   5   7   8   4
       + 102*m1 *m2 *n1 *n2  *n3 *r483 + 336*m1 *m2 *n1 *n2 *n3 *r483

             4   5   5   14              4   5   5   12   2
       - 8*m1 *m2 *n1 *n2  *r483 - 198*m1 *m2 *n1 *n2  *n3 *r483

              4   5   5   10   4             4   5   3   16
       + 36*m1 *m2 *n1 *n2  *n3 *r483 + 28*m1 *m2 *n1 *n2  *r483

              4   5   3   14   2              4   5   3   12   4
       - 42*m1 *m2 *n1 *n2  *n3 *r483 - 156*m1 *m2 *n1 *n2  *n3 *r483

             4   5      18             4   5      16   2
       - 2*m1 *m2 *n1*n2  *r483 + 18*m1 *m2 *n1*n2  *n3 *r483

              4   5      14   4             3   7   15   3
       + 24*m1 *m2 *n1*n2  *n3 *r483 + 20*m1 *m2 *n1  *n2 *r496

               3   7   13   5              3   7   13   3   2
       - 200*m1 *m2 *n1  *n2 *r496 + 150*m1 *m2 *n1  *n2 *n3 *r496

              3   7   11   7              3   7   11   5   2
       + 90*m1 *m2 *n1  *n2 *r496 - 925*m1 *m2 *n1  *n2 *n3 *r496

               3   7   11   3   4              3   7   9   9
       + 200*m1 *m2 *n1  *n2 *n3 *r496 + 433*m1 *m2 *n1 *n2 *r496

               3   7   9   7   2               3   7   9   5   4
       + 113*m1 *m2 *n1 *n2 *n3 *r496 - 1006*m1 *m2 *n1 *n2 *n3 *r496

               3   7   7   11               3   7   7   9   2
       - 200*m1 *m2 *n1 *n2  *r496 + 1182*m1 *m2 *n1 *n2 *n3 *r496

               3   7   7   7   4              3   7   5   13
       + 384*m1 *m2 *n1 *n2 *n3 *r496 - 222*m1 *m2 *n1 *n2  *r496

               3   7   5   11   2              3   7   5   9   4
       - 424*m1 *m2 *n1 *n2  *n3 *r496 + 836*m1 *m2 *n1 *n2 *n3 *r496

              3   7   3   15              3   7   3   13   2
       + 98*m1 *m2 *n1 *n2  *r496 - 337*m1 *m2 *n1 *n2  *n3 *r496

               3   7   3   11   4            3   7      17
       - 664*m1 *m2 *n1 *n2  *n3 *r496 - 3*m1 *m2 *n1*n2  *r496

              3   7      15   2             3   7      13   4
       + 81*m1 *m2 *n1*n2  *n3 *r496 + 90*m1 *m2 *n1*n2  *n3 *r496

             3   6   16   3             3   6   14   5
       + 8*m1 *m2 *n1  *n2 *r483 - 32*m1 *m2 *n1  *n2 *r483

              3   6   14   3   2             3   6   12   7
       + 60*m1 *m2 *n1  *n2 *n3 *r483 - 48*m1 *m2 *n1  *n2 *r483

               3   6   12   5   2             3   6   12   3   4
       - 100*m1 *m2 *n1  *n2 *n3 *r483 + 80*m1 *m2 *n1  *n2 *n3 *r483

              3   6   10   9              3   6   10   7   2
       + 72*m1 *m2 *n1  *n2 *r483 - 220*m1 *m2 *n1  *n2 *n3 *r483

               3   6   10   5   4             3   6   8   11
       - 100*m1 *m2 *n1  *n2 *n3 *r483 + 72*m1 *m2 *n1 *n2  *r483

               3   6   8   9   2              3   6   8   7   4
       + 148*m1 *m2 *n1 *n2 *n3 *r483 - 188*m1 *m2 *n1 *n2 *n3 *r483

              3   6   6   13              3   6   6   11   2
       - 48*m1 *m2 *n1 *n2  *r483 + 204*m1 *m2 *n1 *n2  *n3 *r483

               3   6   6   9   4             3   6   4   15
       + 168*m1 *m2 *n1 *n2 *n3 *r483 - 32*m1 *m2 *n1 *n2  *r483

              3   6   4   13   2              3   6   4   11   4
       - 52*m1 *m2 *n1 *n2  *n3 *r483 + 104*m1 *m2 *n1 *n2  *n3 *r483

             3   6   2   17             3   6   2   15   2
       + 8*m1 *m2 *n1 *n2  *r483 - 44*m1 *m2 *n1 *n2  *n3 *r483

              3   6   2   13   4            3   6   17   2
       - 68*m1 *m2 *n1 *n2  *n3 *r483 + 4*m1 *m2 *n2  *n3 *r483

             3   6   15   4             2   8   14   4
       + 4*m1 *m2 *n2  *n3 *r483 + 30*m1 *m2 *n1  *n2 *r496

               2   8   12   6              2   8   12   4   2
       - 125*m1 *m2 *n1  *n2 *r496 + 150*m1 *m2 *n1  *n2 *n3 *r496

              2   8   10   8              2   8   10   6   2
       - 92*m1 *m2 *n1  *n2 *r496 - 459*m1 *m2 *n1  *n2 *n3 *r496

               2   8   10   4   4              2   8   8   10
       + 150*m1 *m2 *n1  *n2 *n3 *r496 + 206*m1 *m2 *n1 *n2  *r496

               2   8   8   8   2              2   8   8   6   4
       - 318*m1 *m2 *n1 *n2 *n3 *r496 - 450*m1 *m2 *n1 *n2 *n3 *r496

              2   8   6   12              2   8   6   10   2
       + 46*m1 *m2 *n1 *n2  *r496 + 489*m1 *m2 *n1 *n2  *n3 *r496

              2   8   6   8   4             2   8   4   14
       - 66*m1 *m2 *n1 *n2 *n3 *r496 - 89*m1 *m2 *n1 *n2  *r496

              2   8   4   12   2              2   8   4   10   4
       + 72*m1 *m2 *n1 *n2  *n3 *r496 + 384*m1 *m2 *n1 *n2  *n3 *r496

             2   8   2   16              2   8   2   14   2
       + 8*m1 *m2 *n1 *n2  *r496 - 120*m1 *m2 *n1 *n2  *n3 *r496

               2   8   2   12   4            2   8   16   2
       - 144*m1 *m2 *n1 *n2  *n3 *r496 + 6*m1 *m2 *n2  *n3 *r496

             2   8   14   4             2   7   15   4
       + 6*m1 *m2 *n2  *n3 *r496 + 12*m1 *m2 *n1  *n2 *r483

             2   7   13   6             2   7   13   4   2
       - 8*m1 *m2 *n1  *n2 *r483 + 60*m1 *m2 *n1  *n2 *n3 *r483

              2   7   11   8             2   7   11   4   4
       - 52*m1 *m2 *n1  *n2 *r483 + 60*m1 *m2 *n1  *n2 *n3 *r483

               2   7   9   8   2             2   7   9   6   4
       - 156*m1 *m2 *n1 *n2 *n3 *r483 - 12*m1 *m2 *n1 *n2 *n3 *r483

              2   7   7   12             2   7   7   10   2
       + 52*m1 *m2 *n1 *n2  *r483 - 24*m1 *m2 *n1 *n2  *n3 *r483

               2   7   7   8   4            2   7   5   14
       - 120*m1 *m2 *n1 *n2 *n3 *r483 + 8*m1 *m2 *n1 *n2  *r483

               2   7   5   12   2             2   7   5   10   4
       + 108*m1 *m2 *n1 *n2  *n3 *r483 + 24*m1 *m2 *n1 *n2  *n3 *r483

              2   7   3   16             2   7   3   14   2
       - 12*m1 *m2 *n1 *n2  *r483 + 24*m1 *m2 *n1 *n2  *n3 *r483

              2   7   3   12   4             2   7      16   2
       + 60*m1 *m2 *n1 *n2  *n3 *r483 - 12*m1 *m2 *n1*n2  *n3 *r483

              2   7      14   4                9   13   5
       - 12*m1 *m2 *n1*n2  *n3 *r483 + 20*m1*m2 *n1  *n2 *r496

                 9   11   7                9   11   5   2
       - 28*m1*m2 *n1  *n2 *r496 + 75*m1*m2 *n1  *n2 *n3 *r496

                 9   9   9                9   9   7   2
       - 67*m1*m2 *n1 *n2 *r496 - 96*m1*m2 *n1 *n2 *n3 *r496

                 9   9   5   4                9   7   11
       + 60*m1*m2 *n1 *n2 *n3 *r496 + 23*m1*m2 *n1 *n2  *r496

                  9   7   9   2                 9   7   7   4
       - 180*m1*m2 *n1 *n2 *n3 *r496 - 102*m1*m2 *n1 *n2 *n3 *r496

                 9   5   13                9   5   11   2
       + 35*m1*m2 *n1 *n2  *r496 + 58*m1*m2 *n1 *n2  *n3 *r496

                 9   5   9   4               9   3   15
       - 74*m1*m2 *n1 *n2 *n3 *r496 - 7*m1*m2 *n1 *n2  *r496

                 9   3   13   2                9   3   11   4
       + 57*m1*m2 *n1 *n2  *n3 *r496 + 78*m1*m2 *n1 *n2  *n3 *r496

                 9      15   2                9      13   4
       - 10*m1*m2 *n1*n2  *n3 *r496 - 10*m1*m2 *n1*n2  *n3 *r496

                8   14   5               8   12   7
       + 8*m1*m2 *n1  *n2 *r483 + 8*m1*m2 *n1  *n2 *r483

                 8   12   5   2                8   10   9
       + 30*m1*m2 *n1  *n2 *n3 *r483 - 16*m1*m2 *n1  *n2 *r483

                 8   10   7   2                8   10   5   4
       + 30*m1*m2 *n1  *n2 *n3 *r483 + 24*m1*m2 *n1  *n2 *n3 *r483

                 8   8   11                8   8   9   2
       - 16*m1*m2 *n1 *n2  *r483 - 42*m1*m2 *n1 *n2 *n3 *r483

                 8   8   7   4               8   6   13
       + 12*m1*m2 *n1 *n2 *n3 *r483 + 8*m1*m2 *n1 *n2  *r483

                 8   6   11   2                8   6   9   4
       - 42*m1*m2 *n1 *n2  *n3 *r483 - 36*m1*m2 *n1 *n2 *n3 *r483

                8   4   15                8   4   13   2
       + 8*m1*m2 *n1 *n2  *r483 + 12*m1*m2 *n1 *n2  *n3 *r483

                 8   4   11   4                8   2   15   2
       - 12*m1*m2 *n1 *n2  *n3 *r483 + 12*m1*m2 *n1 *n2  *n3 *r483

                 8   2   13   4            10   12   6          10   10   8
       + 12*m1*m2 *n1 *n2  *n3 *r483 + 5*m2  *n1  *n2 *r496 + m2  *n1  *n2 *r496

              10   10   6   2             10   8   10
       + 15*m2  *n1  *n2 *n3 *r496 - 11*m2  *n1 *n2  *r496

             10   8   8   2             10   8   6   4
       - 2*m2  *n1 *n2 *n3 *r496 + 10*m2  *n1 *n2 *n3 *r496

             10   6   12             10   6   10   2
       - 5*m2  *n1 *n2  *r496 - 29*m2  *n1 *n2  *n3 *r496

             10   6   8   4            10   4   14
       - 8*m2  *n1 *n2 *n3 *r496 + 2*m2  *n1 *n2  *r496

             10   4   12   2             10   4   10   4
       - 8*m2  *n1 *n2  *n3 *r496 - 14*m2  *n1 *n2  *n3 *r496

             10   2   14   2            10   2   12   4
       + 4*m2  *n1 *n2  *n3 *r496 + 4*m2  *n1 *n2  *n3 *r496

             9   13   6            9   11   8            9   11   6   2
       + 2*m2 *n1  *n2 *r483 + 4*m2 *n1  *n2 *r483 + 6*m2 *n1  *n2 *n3 *r483

              9   9   8   2            9   9   6   4            9   7   12
       + 10*m2 *n1 *n2 *n3 *r483 + 4*m2 *n1 *n2 *n3 *r483 - 4*m2 *n1 *n2  *r483

             9   7   10   2            9   7   8   4            9   5   14
       - 2*m2 *n1 *n2  *n3 *r483 + 4*m2 *n1 *n2 *n3 *r483 - 2*m2 *n1 *n2  *r483

              9   5   12   2            9   5   10   4
       - 10*m2 *n1 *n2  *n3 *r483 - 4*m2 *n1 *n2  *n3 *r483

             9   3   14   2            9   3   12   4            9   12   5   2
       - 4*m2 *n1 *n2  *n3 *r483 - 4*m2 *n1 *n2  *n3 *r483)/(4*m1 *n1  *n2 *n3

          9   12   3   4       9   10   7   2       9   10   5   4
    - 8*m1 *n1  *n2 *n3  + 4*m1 *n1  *n2 *n3  - 8*m1 *n1  *n2 *n3

          9   8   9   2       9   8   7   4       9   6   11   2
    - 4*m1 *n1 *n2 *n3  + 8*m1 *n1 *n2 *n3  - 4*m1 *n1 *n2  *n3

          9   6   9   4       8      13   6        8      13   4   2
    + 8*m1 *n1 *n2 *n3  + 4*m1 *m2*n1  *n2  - 24*m1 *m2*n1  *n2 *n3

           8      13   2   4       8      11   8        8      11   6   2
    + 24*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2  - 12*m1 *m2*n1  *n2 *n3

           8      11   4   4        8      9   8   2        8      9   6   4
    - 24*m1 *m2*n1  *n2 *n3  + 36*m1 *m2*n1 *n2 *n3  - 72*m1 *m2*n1 *n2 *n3

          8      7   12        8      7   10   2        8      7   8   4
    - 8*m1 *m2*n1 *n2   + 12*m1 *m2*n1 *n2  *n3  + 24*m1 *m2*n1 *n2 *n3

          8      5   14        8      5   12   2        8      5   10   4
    - 4*m1 *m2*n1 *n2   - 12*m1 *m2*n1 *n2  *n3  + 48*m1 *m2*n1 *n2  *n3

           7   2   14   5        7   2   14   3   2        7   2   14      4
    - 16*m1 *m2 *n1  *n2  + 48*m1 *m2 *n1  *n2 *n3  - 24*m1 *m2 *n1  *n2*n3

           7   2   12   7        7   2   12   5   2         7   2   12   3   4
    - 16*m1 *m2 *n1  *n2  - 48*m1 *m2 *n1  *n2 *n3  + 120*m1 *m2 *n1  *n2 *n3

           7   2   10   9         7   2   10   7   2        7   2   10   5   4
    + 32*m1 *m2 *n1  *n2  - 144*m1 *m2 *n1  *n2 *n3  + 48*m1 *m2 *n1  *n2 *n3

           7   2   8   11        7   2   8   9   2         7   2   8   7   4
    + 32*m1 *m2 *n1 *n2   + 48*m1 *m2 *n1 *n2 *n3  - 240*m1 *m2 *n1 *n2 *n3

           7   2   6   13        7   2   6   11   2        7   2   6   9   4
    - 16*m1 *m2 *n1 *n2   + 96*m1 *m2 *n1 *n2  *n3  - 24*m1 *m2 *n1 *n2 *n3

           7   2   4   15         7   2   4   11   4        6   3   15   4
    - 16*m1 *m2 *n1 *n2   + 120*m1 *m2 *n1 *n2  *n3  + 24*m1 *m2 *n1  *n2

           6   3   15   2   2       6   3   15   4        6   3   13   6
    - 40*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n3  - 16*m1 *m2 *n1  *n2

            6   3   13   4   2         6   3   13   2   4         6   3   11   8
    + 176*m1 *m2 *n1  *n2 *n3  - 136*m1 *m2 *n1  *n2 *n3  - 104*m1 *m2 *n1  *n2

            6   3   11   6   2         6   3   11   4   4
    + 136*m1 *m2 *n1  *n2 *n3  + 208*m1 *m2 *n1  *n2 *n3

            6   3   9   8   2         6   3   9   6   4         6   3   7   12
    - 336*m1 *m2 *n1 *n2 *n3  + 336*m1 *m2 *n1 *n2 *n3  + 104*m1 *m2 *n1 *n2

            6   3   7   10   2         6   3   7   8   4        6   3   5   14
    - 136*m1 *m2 *n1 *n2  *n3  - 376*m1 *m2 *n1 *n2 *n3  + 16*m1 *m2 *n1 *n2

            6   3   5   12   2         6   3   5   10   4        6   3   3   16
    + 160*m1 *m2 *n1 *n2  *n3  - 200*m1 *m2 *n1 *n2  *n3  - 24*m1 *m2 *n1 *n2

           6   3   3   14   2         6   3   3   12   4        5   4   16   3
    + 40*m1 *m2 *n1 *n2  *n3  + 160*m1 *m2 *n1 *n2  *n3  - 16*m1 *m2 *n1  *n2

           5   4   16      2        5   4   14   5         5   4   14   3   2
    + 12*m1 *m2 *n1  *n2*n3  + 64*m1 *m2 *n1  *n2  - 180*m1 *m2 *n1  *n2 *n3

           5   4   14      4        5   4   12   7         5   4   12   5   2
    + 48*m1 *m2 *n1  *n2*n3  + 96*m1 *m2 *n1  *n2  + 156*m1 *m2 *n1  *n2 *n3

            5   4   12   3   4         5   4   10   9         5   4   10   7   2
    - 312*m1 *m2 *n1  *n2 *n3  - 144*m1 *m2 *n1  *n2  + 540*m1 *m2 *n1  *n2 *n3

           5   4   10   5   4         5   4   8   11         5   4   8   9   2
    + 72*m1 *m2 *n1  *n2 *n3  - 144*m1 *m2 *n1 *n2   - 228*m1 *m2 *n1 *n2 *n3

            5   4   8   7   4        5   4   6   13         5   4   6   11   2
    + 672*m1 *m2 *n1 *n2 *n3  + 96*m1 *m2 *n1 *n2   - 420*m1 *m2 *n1 *n2  *n3

            5   4   6   9   4        5   4   4   15        5   4   4   13   2
    - 240*m1 *m2 *n1 *n2 *n3  + 64*m1 *m2 *n1 *n2   + 60*m1 *m2 *n1 *n2  *n3

            5   4   4   11   4        5   4   2   17        5   4   2   15   2
    - 360*m1 *m2 *n1 *n2  *n3  - 16*m1 *m2 *n1 *n2   + 60*m1 *m2 *n1 *n2  *n3

            5   4   2   13   4       4   5   17   2        4   5   15   4
    + 120*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 56*m1 *m2 *n1  *n2

           4   5   15   2   2        4   5   13   6         4   5   13   4   2
    + 60*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2  - 300*m1 *m2 *n1  *n2 *n3

            4   5   13   2   4         4   5   11   8         4   5   11   6   2
    + 120*m1 *m2 *n1  *n2 *n3  + 216*m1 *m2 *n1  *n2  - 180*m1 *m2 *n1  *n2 *n3

            4   5   11   4   4         4   5   9   8   2
    - 360*m1 *m2 *n1  *n2 *n3  + 660*m1 *m2 *n1 *n2 *n3

            4   5   9   6   4         4   5   7   12         4   5   7   10   2
    - 240*m1 *m2 *n1 *n2 *n3  - 216*m1 *m2 *n1 *n2   + 204*m1 *m2 *n1 *n2  *n3

            4   5   7   8   4        4   5   5   14         4   5   5   12   2
    + 672*m1 *m2 *n1 *n2 *n3  - 16*m1 *m2 *n1 *n2   - 396*m1 *m2 *n1 *n2  *n3

           4   5   5   10   4        4   5   3   16        4   5   3   14   2
    + 72*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2   - 84*m1 *m2 *n1 *n2  *n3

            4   5   3   12   4       4   5      18        4   5      16   2
    - 312*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1*n2   + 36*m1 *m2 *n1*n2  *n3

           4   5      14   4        3   6   16   3        3   6   14   5
    + 48*m1 *m2 *n1*n2  *n3  + 16*m1 *m2 *n1  *n2  - 64*m1 *m2 *n1  *n2

            3   6   14   3   2        3   6   12   7         3   6   12   5   2
    + 120*m1 *m2 *n1  *n2 *n3  - 96*m1 *m2 *n1  *n2  - 200*m1 *m2 *n1  *n2 *n3

            3   6   12   3   4         3   6   10   9         3   6   10   7   2
    + 160*m1 *m2 *n1  *n2 *n3  + 144*m1 *m2 *n1  *n2  - 440*m1 *m2 *n1  *n2 *n3

            3   6   10   5   4         3   6   8   11         3   6   8   9   2
    - 200*m1 *m2 *n1  *n2 *n3  + 144*m1 *m2 *n1 *n2   + 296*m1 *m2 *n1 *n2 *n3

            3   6   8   7   4        3   6   6   13         3   6   6   11   2
    - 376*m1 *m2 *n1 *n2 *n3  - 96*m1 *m2 *n1 *n2   + 408*m1 *m2 *n1 *n2  *n3

            3   6   6   9   4        3   6   4   15         3   6   4   13   2
    + 336*m1 *m2 *n1 *n2 *n3  - 64*m1 *m2 *n1 *n2   - 104*m1 *m2 *n1 *n2  *n3

            3   6   4   11   4        3   6   2   17        3   6   2   15   2
    + 208*m1 *m2 *n1 *n2  *n3  + 16*m1 *m2 *n1 *n2   - 88*m1 *m2 *n1 *n2  *n3

            3   6   2   13   4       3   6   17   2       3   6   15   4
    - 136*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n2  *n3  + 8*m1 *m2 *n2  *n3

           2   7   15   4        2   7   13   6         2   7   13   4   2
    + 24*m1 *m2 *n1  *n2  - 16*m1 *m2 *n1  *n2  + 120*m1 *m2 *n1  *n2 *n3

            2   7   11   8         2   7   11   4   4         2   7   9   8   2
    - 104*m1 *m2 *n1  *n2  + 120*m1 *m2 *n1  *n2 *n3  - 312*m1 *m2 *n1 *n2 *n3

           2   7   9   6   4         2   7   7   12        2   7   7   10   2
    - 24*m1 *m2 *n1 *n2 *n3  + 104*m1 *m2 *n1 *n2   - 48*m1 *m2 *n1 *n2  *n3

            2   7   7   8   4        2   7   5   14         2   7   5   12   2
    - 240*m1 *m2 *n1 *n2 *n3  + 16*m1 *m2 *n1 *n2   + 216*m1 *m2 *n1 *n2  *n3

           2   7   5   10   4        2   7   3   16        2   7   3   14   2
    + 48*m1 *m2 *n1 *n2  *n3  - 24*m1 *m2 *n1 *n2   + 48*m1 *m2 *n1 *n2  *n3

            2   7   3   12   4        2   7      16   2        2   7      14   4
    + 120*m1 *m2 *n1 *n2  *n3  - 24*m1 *m2 *n1*n2  *n3  - 24*m1 *m2 *n1*n2  *n3

              8   14   5           8   12   7           8   12   5   2
    + 16*m1*m2 *n1  *n2  + 16*m1*m2 *n1  *n2  + 60*m1*m2 *n1  *n2 *n3

              8   10   9           8   10   7   2           8   10   5   4
    - 32*m1*m2 *n1  *n2  + 60*m1*m2 *n1  *n2 *n3  + 48*m1*m2 *n1  *n2 *n3

              8   8   11           8   8   9   2           8   8   7   4
    - 32*m1*m2 *n1 *n2   - 84*m1*m2 *n1 *n2 *n3  + 24*m1*m2 *n1 *n2 *n3

              8   6   13           8   6   11   2           8   6   9   4
    + 16*m1*m2 *n1 *n2   - 84*m1*m2 *n1 *n2  *n3  - 72*m1*m2 *n1 *n2 *n3

              8   4   15           8   4   13   2           8   4   11   4
    + 16*m1*m2 *n1 *n2   + 24*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2  *n3

              8   2   15   2           8   2   13   4       9   13   6
    + 24*m1*m2 *n1 *n2  *n3  + 24*m1*m2 *n1 *n2  *n3  + 4*m2 *n1  *n2

          9   11   8        9   11   6   2        9   9   8   2
    + 8*m2 *n1  *n2  + 12*m2 *n1  *n2 *n3  + 20*m2 *n1 *n2 *n3

          9   9   6   4       9   7   12       9   7   10   2
    + 8*m2 *n1 *n2 *n3  - 8*m2 *n1 *n2   - 4*m2 *n1 *n2  *n3

          9   7   8   4       9   5   14        9   5   12   2
    + 8*m2 *n1 *n2 *n3  - 4*m2 *n1 *n2   - 20*m2 *n1 *n2  *n3

          9   5   10   4       9   3   14   2       9   3   12   4
    - 8*m2 *n1 *n2  *n3  - 8*m2 *n1 *n2  *n3  - 8*m2 *n1 *n2  *n3 )


         2          2
       n1 *r496 + n2 *r496
r4119=---------------------
        2*m1*n2 - 2*m2*n1


           2   6   6   4   2             2   6   6   2   4
r464=(4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   6   4   6   2             2   6   4   4   4
       + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

              2   5      7   5              2   5      7   3   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 - 20*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      7      4             2   5      5   7
       + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 8*a33 *m1 *m2*n1 *n2 *r214

               2   5      5   5   2              2   5      5   3   4
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 16*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      3   9             2   5      3   7   2
       + 4*a33 *m1 *m2*n1 *n2 *r214 + 4*a33 *m1 *m2*n1 *n2 *n3 *r214

               2   5      3   5   4             2   5   8   3   2
       - 32*a33 *m1 *m2*n1 *n2 *n3 *r214 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   8      4             2   5   6   5   2
       - 4*a33 *m1 *n1 *n2*n3 *r216 + 4*a33 *m1 *n1 *n2 *n3 *r216

              2   5   6   3   4             2   5   4   7   2
       - 8*a33 *m1 *n1 *n2 *n3 *r216 + 2*a33 *m1 *n1 *n2 *n3 *r216

              2   5   4   5   4              2   4   2   8   4
       - 4*a33 *m1 *n1 *n2 *n3 *r216 - 12*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   8   2   2             2   4   2   8   4
       + 28*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m1 *m2 *n1 *n3 *r214

               2   4   2   6   6              2   4   2   6   4   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   6   2   4             2   4   2   4   8
       + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1 *n2 *r214

               2   4   2   4   6   2              2   4   2   4   4   4
       - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   2   10              2   4   2   2   8   2
       + 8*a33 *m1 *m2 *n1 *n2  *r214 - 12*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   4   2   2   6   4             2   4      9   4
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m1 *m2*n1 *n2 *r216

              2   4      9   2   2             2   4      9   4
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 4*a33 *m1 *m2*n1 *n3 *r216

              2   4      7   6              2   4      7   4   2
       + 6*a33 *m1 *m2*n1 *n2 *r216 - 14*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      7   2   4             2   4      5   8
       - 8*a33 *m1 *m2*n1 *n2 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      5   6   2              2   4      5   4   4
       - 4*a33 *m1 *m2*n1 *n2 *n3 *r216 - 28*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      3   10             2   4      3   8   2
       + 2*a33 *m1 *m2*n1 *n2  *r216 + 2*a33 *m1 *m2*n1 *n2 *n3 *r216

               2   4      3   6   4              2   3   3   9   3
       - 16*a33 *m1 *m2*n1 *n2 *n3 *r216 + 12*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   9      2              2   3   3   7   3   2
       - 12*a33 *m1 *m2 *n1 *n2*n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   7      4              2   3   3   5   7
       - 32*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   5   5   2              2   3   3   5   3   4
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   9              2   3   3   3   7   2
       - 16*a33 *m1 *m2 *n1 *n2 *r214 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   3   3   3   5   4             2   3   3      11
       + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 4*a33 *m1 *m2 *n1*n2  *r214

               2   3   3      9   2              2   3   3      7   4
       - 20*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

              2   3   2   10   3             2   3   2   10      2
       - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

              2   3   2   8   5             2   3   2   8   3   2
       - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   8      4              2   3   2   6   5   2
       + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   6   3   4             2   3   2   4   9
       + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

               2   3   2   4   7   2              2   3   2   4   5   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   11             2   3   2   2   9   2
       + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   3   2   2   7   4             2   2   4   10   2
       - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 4*a33 *m1 *m2 *n1  *n2 *r214

               2   2   4   8   4              2   2   4   8   2   2
       + 16*a33 *m1 *m2 *n1 *n2 *r214 - 36*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   6              2   2   4   6   4   2
       + 32*a33 *m1 *m2 *n1 *n2 *r214 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   6   2   4              2   2   4   4   6   2
       - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

               2   2   4   4   4   4              2   2   4   2   10
       + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2 *n1 *n2  *r214

               2   2   4   2   8   2              2   2   4   2   6   4
       + 20*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   10   2             2   2   4   8   4
       - 8*a33 *m1 *m2 *n2  *n3 *r214 - 8*a33 *m1 *m2 *n2 *n3 *r214

              2   2   3   11   2             2   2   3   9   4
       + 2*a33 *m1 *m2 *n1  *n2 *r216 - 2*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   9   2   2              2   2   3   7   6
       + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

               2   2   3   7   4   2              2   2   3   7   2   4
       + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   8              2   2   3   5   6   2
       - 16*a33 *m1 *m2 *n1 *n2 *r216 - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216

               2   2   3   5   4   4             2   2   3   3   10
       + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 2*a33 *m1 *m2 *n1 *n2  *r216

               2   2   3   3   8   2             2   2   3   3   6   4
       - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3      12              2   2   3      10   2
       + 2*a33 *m1 *m2 *n1*n2  *r216 - 10*a33 *m1 *m2 *n1*n2  *n3 *r216

               2   2   3      8   4             2      5   9   3
       - 16*a33 *m1 *m2 *n1*n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   5              2      5   7   3   2
       - 4*a33 *m1*m2 *n1 *n2 *r214 - 36*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   7              2      5   5   5   2
       + 16*a33 *m1*m2 *n1 *n2 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5   5   3   4              2      5   3   9
       - 32*a33 *m1*m2 *n1 *n2 *n3 *r214 + 12*a33 *m1*m2 *n1 *n2 *r214

               2      5   3   7   2              2      5   3   5   4
       + 20*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

               2      5      9   2              2      5      7   4
       + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 16*a33 *m1*m2 *n1*n2 *n3 *r214

              2      4   10   3             2      4   8   5
       + 4*a33 *m1*m2 *n1  *n2 *r216 + 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   8   3   2              2      4   6   5   2
       + 18*a33 *m1*m2 *n1 *n2 *n3 *r216 + 40*a33 *m1*m2 *n1 *n2 *n3 *r216

               2      4   6   3   4             2      4   4   9
       + 16*a33 *m1*m2 *n1 *n2 *n3 *r216 - 8*a33 *m1*m2 *n1 *n2 *r216

               2      4   4   7   2              2      4   4   5   4
       + 22*a33 *m1*m2 *n1 *n2 *n3 *r216 + 28*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   11             2      4   2   9   2
       - 4*a33 *m1*m2 *n1 *n2  *r216 - 4*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   2   7   4             2      4   11   2
       + 8*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n2  *n3 *r216

              2      4   9   4             2   6   8   4
       - 4*a33 *m1*m2 *n2 *n3 *r216 - 4*a33 *m2 *n1 *n2 *r214

              2   6   6   6              2   6   6   4   2
       - 8*a33 *m2 *n1 *n2 *r214 - 12*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   8              2   6   4   6   2
       - 4*a33 *m2 *n1 *n2 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

              2   6   4   4   4             2   6   2   8   2
       - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

              2   6   2   6   4             2   5   9   4
       - 8*a33 *m2 *n1 *n2 *n3 *r214 + 2*a33 *m2 *n1 *n2 *r216

              2   5   7   6             2   5   7   4   2
       + 6*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   8              2   5   5   6   2
       + 6*a33 *m2 *n1 *n2 *r216 + 16*a33 *m2 *n1 *n2 *n3 *r216

              2   5   5   4   4             2   5   3   10
       + 4*a33 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m2 *n1 *n2  *r216

               2   5   3   8   2             2   5   3   6   4
       + 14*a33 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m2 *n1 *n2 *n3 *r216

              2   5      10   2             2   5      8   4
       + 4*a33 *m2 *n1*n2  *n3 *r216 + 4*a33 *m2 *n1*n2 *n3 *r216

             5   10   3   2            5   10      4
       + 2*m1 *n1  *n2 *n3 *r496 - 4*m1 *n1  *n2*n3 *r496

             5   8   5   2            5   8   3   4          5   4   9   2
       + 3*m1 *n1 *n2 *n3 *r496 - 6*m1 *n1 *n2 *n3 *r496 - m1 *n1 *n2 *n3 *r496

             5   4   7   4            4      11   4
       + 2*m1 *n1 *n2 *n3 *r496 + 2*m1 *m2*n1  *n2 *r496

             4      11   2   2            4      11   4
       - 7*m1 *m2*n1  *n2 *n3 *r496 + 2*m1 *m2*n1  *n3 *r496

             4      9   6            4      9   4   2
       + 5*m1 *m2*n1 *n2 *r496 - 7*m1 *m2*n1 *n2 *n3 *r496

              4      9   2   4            4      7   8
       - 16*m1 *m2*n1 *n2 *n3 *r496 + 3*m1 *m2*n1 *n2 *r496

             4      7   6   2             4      7   4   4
       + 6*m1 *m2*n1 *n2 *n3 *r496 - 30*m1 *m2*n1 *n2 *n3 *r496

           4      5   10            4      5   8   2
       - m1 *m2*n1 *n2  *r496 + 5*m1 *m2*n1 *n2 *n3 *r496

             4      5   6   4          4      3   12
       - 4*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2*n1 *n2  *r496

           4      3   10   2            4      3   8   4
       - m1 *m2*n1 *n2  *n3 *r496 + 8*m1 *m2*n1 *n2 *n3 *r496

             3   2   12   3            3   2   12      2
       - 3*m1 *m2 *n1  *n2 *r496 + 3*m1 *m2 *n1  *n2*n3 *r496

             3   2   10   5             3   2   10   3   2
       - 2*m1 *m2 *n1  *n2 *r496 - 19*m1 *m2 *n1  *n2 *n3 *r496

             3   2   10      4             3   2   8   7
       + 8*m1 *m2 *n1  *n2*n3 *r496 + 10*m1 *m2 *n1 *n2 *r496

              3   2   8   5   2             3   2   8   3   4
       - 42*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   9             3   2   6   7   2
       + 12*m1 *m2 *n1 *n2 *r496 - 12*m1 *m2 *n1 *n2 *n3 *r496

              3   2   6   5   4          3   2   4   11
       - 60*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1 *n2  *r496

              3   2   4   9   2             3   2   4   7   4
       + 11*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   2   13            3   2   2   11   2
       - 2*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

              3   2   2   9   4          2   3   13   2
       + 12*m1 *m2 *n1 *n2 *n3 *r496 + m1 *m2 *n1  *n2 *r496

             2   3   11   4            2   3   11   2   2
       - 5*m1 *m2 *n1  *n2 *r496 + 9*m1 *m2 *n1  *n2 *n3 *r496

              2   3   9   6             2   3   9   4   2
       - 13*m1 *m2 *n1 *n2 *r496 - 15*m1 *m2 *n1 *n2 *n3 *r496

              2   3   9   2   4             2   3   7   6   2
       + 12*m1 *m2 *n1 *n2 *n3 *r496 - 64*m1 *m2 *n1 *n2 *n3 *r496

              2   3   7   4   4             2   3   5   10
       - 16*m1 *m2 *n1 *n2 *n3 *r496 + 13*m1 *m2 *n1 *n2  *r496

              2   3   5   8   2             2   3   5   6   4
       - 42*m1 *m2 *n1 *n2 *n3 *r496 - 60*m1 *m2 *n1 *n2 *n3 *r496

             2   3   3   12            2   3   3   10   2
       + 5*m1 *m2 *n1 *n2  *r496 + 3*m1 *m2 *n1 *n2  *n3 *r496

              2   3   3   8   4          2   3      14
       - 24*m1 *m2 *n1 *n2 *n3 *r496 - m1 *m2 *n1*n2  *r496

             2   3      12   2            2   3      10   4
       + 5*m1 *m2 *n1*n2  *n3 *r496 + 8*m1 *m2 *n1*n2  *n3 *r496

                4   12   3             4   10   5
       + 2*m1*m2 *n1  *n2 *r496 - m1*m2 *n1  *n2 *r496

                4   10   3   2                4   8   7
       + 9*m1*m2 *n1  *n2 *n3 *r496 - 12*m1*m2 *n1 *n2 *r496

              4   8   5   2               4   8   3   4
       - m1*m2 *n1 *n2 *n3 *r496 + 8*m1*m2 *n1 *n2 *n3 *r496

                 4   6   9                4   6   7   2
       - 10*m1*m2 *n1 *n2 *r496 - 40*m1*m2 *n1 *n2 *n3 *r496

                4   6   5   4               4   4   11
       - 4*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n1 *n2  *r496

                 4   4   9   2                4   4   7   4
       - 39*m1*m2 *n1 *n2 *n3 *r496 - 30*m1*m2 *n1 *n2 *n3 *r496

                4   2   13               4   2   11   2
       + 3*m1*m2 *n1 *n2  *r496 - 7*m1*m2 *n1 *n2  *n3 *r496

                 4   2   9   4               4   13   2
       - 16*m1*m2 *n1 *n2 *n3 *r496 + 2*m1*m2 *n2  *n3 *r496

                4   11   4          5   11   4          5   9   6
       + 2*m1*m2 *n2  *n3 *r496 + m2 *n1  *n2 *r496 + m2 *n1 *n2 *r496

             5   9   4   2            5   7   8            5   7   6   2
       + 3*m2 *n1 *n2 *n3 *r496 - 3*m2 *n1 *n2 *r496 + 2*m2 *n1 *n2 *n3 *r496

             5   7   4   4            5   5   10            5   5   8   2
       + 2*m2 *n1 *n2 *n3 *r496 - 5*m2 *n1 *n2  *r496 - 9*m2 *n1 *n2 *n3 *r496

             5   3   12             5   3   10   2            5   3   8   4
       - 2*m2 *n1 *n2  *r496 - 12*m2 *n1 *n2  *n3 *r496 - 6*m2 *n1 *n2 *n3 *r496

             5      12   2            5      10   4            6   8   4   2
       - 4*m2 *n1*n2  *n3 *r496 - 4*m2 *n1*n2  *n3 *r496)/(4*m1 *n1 *n2 *n3

          6   8   2   4       6   4   8   2       6   4   6   4
    - 8*m1 *n1 *n2 *n3  - 4*m1 *n1 *n2 *n3  + 8*m1 *n1 *n2 *n3

          5      9   5        5      9   3   2        5      9      4
    + 4*m1 *m2*n1 *n2  - 20*m1 *m2*n1 *n2 *n3  + 16*m1 *m2*n1 *n2*n3

          5      7   7       5      7   5   2        5      7   3   4
    + 4*m1 *m2*n1 *n2  + 4*m1 *m2*n1 *n2 *n3  - 32*m1 *m2*n1 *n2 *n3

          5      5   9        5      5   7   2        5      5   5   4
    - 4*m1 *m2*n1 *n2  + 20*m1 *m2*n1 *n2 *n3  - 16*m1 *m2*n1 *n2 *n3

          5      3   11       5      3   9   2        5      3   7   4
    - 4*m1 *m2*n1 *n2   - 4*m1 *m2*n1 *n2 *n3  + 32*m1 *m2*n1 *n2 *n3

           4   2   10   4        4   2   10   2   2       4   2   10   4
    - 12*m1 *m2 *n1  *n2  + 28*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n3

          4   2   8   6        4   2   8   4   2        4   2   8   2   4
    - 4*m1 *m2 *n1 *n2  - 44*m1 *m2 *n1 *n2 *n3  + 64*m1 *m2 *n1 *n2 *n3

           4   2   6   8        4   2   6   6   2        4   2   6   4   4
    + 20*m1 *m2 *n1 *n2  - 40*m1 *m2 *n1 *n2 *n3  - 40*m1 *m2 *n1 *n2 *n3

          4   2   4   10        4   2   4   8   2        4   2   4   6   4
    + 4*m1 *m2 *n1 *n2   + 44*m1 *m2 *n1 *n2 *n3  - 64*m1 *m2 *n1 *n2 *n3

          4   2   2   12        4   2   2   10   2        4   2   2   8   4
    - 8*m1 *m2 *n1 *n2   + 12*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2 *n3

           3   3   11   3        3   3   11      2        3   3   9   5
    + 12*m1 *m2 *n1  *n2  - 12*m1 *m2 *n1  *n2*n3  - 12*m1 *m2 *n1 *n2

           3   3   9   3   2        3   3   9      4        3   3   7   7
    + 76*m1 *m2 *n1 *n2 *n3  - 32*m1 *m2 *n1 *n2*n3  - 32*m1 *m2 *n1 *n2

           3   3   7   3   4        3   3   5   9        3   3   5   7   2
    + 96*m1 *m2 *n1 *n2 *n3  + 16*m1 *m2 *n1 *n2  - 96*m1 *m2 *n1 *n2 *n3

           3   3   3   11        3   3   3   9   2        3   3   3   7   4
    + 20*m1 *m2 *n1 *n2   + 12*m1 *m2 *n1 *n2 *n3  - 96*m1 *m2 *n1 *n2 *n3

          3   3      13        3   3      11   2        3   3      9   4
    - 4*m1 *m2 *n1*n2   + 20*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2 *n3

          2   4   12   2        2   4   10   4        2   4   10   2   2
    - 4*m1 *m2 *n1  *n2  + 20*m1 *m2 *n1  *n2  - 36*m1 *m2 *n1  *n2 *n3

           2   4   8   6        2   4   8   4   2        2   4   8   2   4
    + 16*m1 *m2 *n1 *n2  + 60*m1 *m2 *n1 *n2 *n3  - 48*m1 *m2 *n1 *n2 *n3

           2   4   6   8        2   4   6   6   2        2   4   6   4   4
    - 32*m1 *m2 *n1 *n2  + 64*m1 *m2 *n1 *n2 *n3  + 64*m1 *m2 *n1 *n2 *n3

           2   4   4   10        2   4   4   8   2        2   4   4   6   4
    - 12*m1 *m2 *n1 *n2   - 68*m1 *m2 *n1 *n2 *n3  + 40*m1 *m2 *n1 *n2 *n3

           2   4   2   12        2   4   2   10   2        2   4   2   8   4
    + 12*m1 *m2 *n1 *n2   - 28*m1 *m2 *n1 *n2  *n3  - 64*m1 *m2 *n1 *n2 *n3

          2   4   12   2       2   4   10   4          5   11   3
    + 8*m1 *m2 *n2  *n3  + 8*m1 *m2 *n2  *n3  - 8*m1*m2 *n1  *n2

             5   9   5           5   9   3   2           5   7   7
    + 4*m1*m2 *n1 *n2  - 36*m1*m2 *n1 *n2 *n3  + 20*m1*m2 *n1 *n2

             5   7   5   2           5   7   3   4          5   5   9
    + 4*m1*m2 *n1 *n2 *n3  - 32*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2

              5   5   7   2           5   5   5   4           5   3   11
    + 52*m1*m2 *n1 *n2 *n3  + 16*m1*m2 *n1 *n2 *n3  - 12*m1*m2 *n1 *n2

             5   3   9   2           5   3   7   4           5      11   2
    - 4*m1*m2 *n1 *n2 *n3  + 32*m1*m2 *n1 *n2 *n3  - 16*m1*m2 *n1*n2  *n3

              5      9   4       6   10   4       6   8   6        6   8   4   2
    - 16*m1*m2 *n1*n2 *n3  - 4*m2 *n1  *n2  - 4*m2 *n1 *n2  - 12*m2 *n1 *n2 *n3

          6   6   8       6   6   6   2       6   6   4   4       6   4   10
    + 4*m2 *n1 *n2  - 8*m2 *n1 *n2 *n3  - 8*m2 *n1 *n2 *n3  + 4*m2 *n1 *n2

           6   4   8   2       6   2   10   2       6   2   8   4
    + 12*m2 *n1 *n2 *n3  + 8*m2 *n1 *n2  *n3  + 8*m2 *n1 *n2 *n3 )


      m1*n1*r496 + m2*n2*r496
r461=-------------------------
           m1*n2 - m2*n1


          2   6   8   4             2   6   8   2   2
r26=(4*a33 *m1 *n1 *n2 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   6   4   2             2   6   6   2   4
      + 4*a33 *m1 *n1 *n2 *n3 *r214 - 8*a33 *m1 *n1 *n2 *n3 *r214

             2   6   4   8              2   6   4   6   2
      - 4*a33 *m1 *n1 *n2 *r214 + 12*a33 *m1 *n1 *n2 *n3 *r214

             2   6   4   4   4              2   5      9   3
      - 8*a33 *m1 *n1 *n2 *n3 *r214 - 12*a33 *m1 *m2*n1 *n2 *r214

              2   5      9      2              2   5      7   5
      + 16*a33 *m1 *m2*n1 *n2*n3 *r214 + 16*a33 *m1 *m2*n1 *n2 *r214

              2   5      7   3   2              2   5      7      4
      - 52*a33 *m1 *m2*n1 *n2 *n3 *r214 + 16*a33 *m1 *m2*n1 *n2*n3 *r214

              2   5      5   7              2   5      5   5   2
      + 20*a33 *m1 *m2*n1 *n2 *r214 - 32*a33 *m1 *m2*n1 *n2 *n3 *r214

              2   5      5   3   4             2   5      3   9
      - 16*a33 *m1 *m2*n1 *n2 *n3 *r214 - 8*a33 *m1 *m2*n1 *n2 *r214

              2   5      3   7   2              2   5      3   5   4
      + 36*a33 *m1 *m2*n1 *n2 *n3 *r214 - 32*a33 *m1 *m2*n1 *n2 *n3 *r214

             2   5   8   3   2             2   5   8      4
      + 2*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2*n3 *r216

             2   5   6   5   2             2   5   6   3   4
      + 4*a33 *m1 *n1 *n2 *n3 *r216 - 8*a33 *m1 *n1 *n2 *n3 *r216

             2   5   4   7   2             2   5   4   5   4
      + 2*a33 *m1 *n1 *n2 *n3 *r216 - 4*a33 *m1 *n1 *n2 *n3 *r216

              2   4   2   10   2             2   4   2   10   2
      + 12*a33 *m1 *m2 *n1  *n2 *r214 - 8*a33 *m1 *m2 *n1  *n3 *r214

              2   4   2   8   4              2   4   2   8   2   2
      - 48*a33 *m1 *m2 *n1 *n2 *r214 + 92*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4   2   8   4              2   4   2   6   6
      - 8*a33 *m1 *m2 *n1 *n3 *r214 - 16*a33 *m1 *m2 *n1 *n2 *r214

              2   4   2   6   4   2              2   4   2   6   2   4
      - 56*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   4   8               2   4   2   4   6   2
      + 40*a33 *m1 *m2 *n1 *n2 *r214 - 120*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   4   2   4   4   4             2   4   2   2   10
      + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 4*a33 *m1 *m2 *n1 *n2  *r214

              2   4   2   2   8   2              2   4   2   2   6   4
      + 36*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   4      9   4             2   4      9   2   2
      + 2*a33 *m1 *m2*n1 *n2 *r216 - 8*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      9   4             2   4      7   6
      + 4*a33 *m1 *m2*n1 *n3 *r216 + 6*a33 *m1 *m2*n1 *n2 *r216

              2   4      7   4   2             2   4      7   2   4
      - 14*a33 *m1 *m2*n1 *n2 *n3 *r216 - 8*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   4      5   8             2   4      5   6   2
      + 6*a33 *m1 *m2*n1 *n2 *r216 - 4*a33 *m1 *m2*n1 *n2 *n3 *r216

              2   4      5   4   4             2   4      3   10
      - 28*a33 *m1 *m2*n1 *n2 *n3 *r216 + 2*a33 *m1 *m2*n1 *n2  *r216

             2   4      3   8   2              2   4      3   6   4
      + 2*a33 *m1 *m2*n1 *n2 *n3 *r216 - 16*a33 *m1 *m2*n1 *n2 *n3 *r216

             2   3   3   11                 2   3   3   9   3
      - 4*a33 *m1 *m2 *n1  *n2*r214 + 48*a33 *m1 *m2 *n1 *n2 *r214

              2   3   3   9      2              2   3   3   7   5
      - 44*a33 *m1 *m2 *n1 *n2*n3 *r214 - 32*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   7   3   2              2   3   3   7      4
      + 160*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 32*a33 *m1 *m2 *n1 *n2*n3 *r214

              2   3   3   5   7              2   3   3   5   5   2
      - 64*a33 *m1 *m2 *n1 *n2 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3   5   3   4              2   3   3   3   9
      + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 20*a33 *m1 *m2 *n1 *n2 *r214

               2   3   3   3   7   2              2   3   3   3   5   4
      - 128*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 64*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   3   3      9   2              2   3   3      7   4
      + 12*a33 *m1 *m2 *n1*n2 *n3 *r214 - 32*a33 *m1 *m2 *n1*n2 *n3 *r214

             2   3   2   10   3             2   3   2   10      2
      - 4*a33 *m1 *m2 *n1  *n2 *r216 + 6*a33 *m1 *m2 *n1  *n2*n3 *r216

             2   3   2   8   5             2   3   2   8   3   2
      - 8*a33 *m1 *m2 *n1 *n2 *r216 - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   8      4              2   3   2   6   5   2
      + 16*a33 *m1 *m2 *n1 *n2*n3 *r216 - 40*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   6   3   4             2   3   2   4   9
      + 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 8*a33 *m1 *m2 *n1 *n2 *r216

              2   3   2   4   7   2              2   3   2   4   5   4
      - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   3   2   2   11             2   3   2   2   9   2
      + 4*a33 *m1 *m2 *n1 *n2  *r216 - 6*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   3   2   2   7   4              2   2   4   10   2
      - 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1  *n2 *r214

              2   2   4   8   4              2   2   4   8   2   2
      + 52*a33 *m1 *m2 *n1 *n2 *r214 - 84*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   6              2   2   4   6   4   2
      + 32*a33 *m1 *m2 *n1 *n2 *r214 + 88*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   6   2   4              2   2   4   4   8
      - 48*a33 *m1 *m2 *n1 *n2 *n3 *r214 - 36*a33 *m1 *m2 *n1 *n2 *r214

               2   2   4   4   6   2              2   2   4   4   4   4
      + 128*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 16*a33 *m1 *m2 *n1 *n2 *n3 *r214

              2   2   4   2   8   2              2   2   4   2   6   4
      - 44*a33 *m1 *m2 *n1 *n2 *n3 *r214 + 56*a33 *m1 *m2 *n1 *n2 *n3 *r214

             2   2   4   8   4             2   2   3   11   2
      - 8*a33 *m1 *m2 *n2 *n3 *r214 + 2*a33 *m1 *m2 *n1  *n2 *r216

             2   2   3   9   4              2   2   3   9   2   2
      - 2*a33 *m1 *m2 *n1 *n2 *r216 + 18*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   7   6              2   2   3   7   4   2
      - 16*a33 *m1 *m2 *n1 *n2 *r216 + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216

              2   2   3   7   2   4              2   2   3   5   8
      + 24*a33 *m1 *m2 *n1 *n2 *n3 *r216 - 16*a33 *m1 *m2 *n1 *n2 *r216

              2   2   3   5   6   2              2   2   3   5   4   4
      - 16*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3   3   10              2   2   3   3   8   2
      - 2*a33 *m1 *m2 *n1 *n2  *r216 - 32*a33 *m1 *m2 *n1 *n2 *n3 *r216

             2   2   3   3   6   4             2   2   3      12
      - 8*a33 *m1 *m2 *n1 *n2 *n3 *r216 + 2*a33 *m1 *m2 *n1*n2  *r216

              2   2   3      10   2              2   2   3      8   4
      - 10*a33 *m1 *m2 *n1*n2  *n3 *r216 - 16*a33 *m1 *m2 *n1*n2 *n3 *r216

              2      5   9   3             2      5   7   5
      - 20*a33 *m1*m2 *n1 *n2 *r214 + 8*a33 *m1*m2 *n1 *n2 *r214

              2      5   7   3   2              2      5   5   7
      - 68*a33 *m1*m2 *n1 *n2 *n3 *r214 + 28*a33 *m1*m2 *n1 *n2 *r214

              2      5   5   5   2              2      5   5   3   4
      - 16*a33 *m1*m2 *n1 *n2 *n3 *r214 - 32*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5   3   7   2              2      5   3   5   4
      + 52*a33 *m1*m2 *n1 *n2 *n3 *r214 - 16*a33 *m1*m2 *n1 *n2 *n3 *r214

              2      5      7   4             2      4   10   3
      + 16*a33 *m1*m2 *n1*n2 *n3 *r214 + 4*a33 *m1*m2 *n1  *n2 *r216

             2      4   8   5              2      4   8   3   2
      + 8*a33 *m1*m2 *n1 *n2 *r216 + 18*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   6   5   2              2      4   6   3   4
      + 40*a33 *m1*m2 *n1 *n2 *n3 *r216 + 16*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   4   9              2      4   4   7   2
      - 8*a33 *m1*m2 *n1 *n2 *r216 + 22*a33 *m1*m2 *n1 *n2 *n3 *r216

              2      4   4   5   4             2      4   2   11
      + 28*a33 *m1*m2 *n1 *n2 *n3 *r216 - 4*a33 *m1*m2 *n1 *n2  *r216

             2      4   2   9   2             2      4   2   7   4
      - 4*a33 *m1*m2 *n1 *n2 *n3 *r216 + 8*a33 *m1*m2 *n1 *n2 *n3 *r216

             2      4   11   2             2      4   9   4
      - 4*a33 *m1*m2 *n2  *n3 *r216 - 4*a33 *m1*m2 *n2 *n3 *r216

             2   6   8   4             2   6   6   6
      - 8*a33 *m2 *n1 *n2 *r214 - 8*a33 *m2 *n1 *n2 *r214

              2   6   6   4   2              2   6   4   6   2
      - 20*a33 *m2 *n1 *n2 *n3 *r214 - 20*a33 *m2 *n1 *n2 *n3 *r214

             2   6   4   4   4             2   6   2   6   4
      - 8*a33 *m2 *n1 *n2 *n3 *r214 - 8*a33 *m2 *n1 *n2 *n3 *r214

             2   5   9   4             2   5   7   6
      + 2*a33 *m2 *n1 *n2 *r216 + 6*a33 *m2 *n1 *n2 *r216

             2   5   7   4   2             2   5   5   8
      + 6*a33 *m2 *n1 *n2 *n3 *r216 + 6*a33 *m2 *n1 *n2 *r216

              2   5   5   6   2             2   5   5   4   4
      + 16*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1 *n2 *n3 *r216

             2   5   3   10              2   5   3   8   2
      + 2*a33 *m2 *n1 *n2  *r216 + 14*a33 *m2 *n1 *n2 *n3 *r216

             2   5   3   6   4             2   5      10   2
      + 8*a33 *m2 *n1 *n2 *n3 *r216 + 4*a33 *m2 *n1*n2  *n3 *r216

             2   5      8   4          5   10   5            5   10   3   2
      + 4*a33 *m2 *n1*n2 *n3 *r216 + m1 *n1  *n2 *r496 - 2*m1 *n1  *n2 *n3 *r496

          5   8   7          5   8   5   2            5   8   3   4
      + m1 *n1 *n2 *r496 - m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

          5   6   9            5   6   7   2            5   6   5   4
      - m1 *n1 *n2 *r496 + 4*m1 *n1 *n2 *n3 *r496 - 4*m1 *n1 *n2 *n3 *r496

          5   4   11            5   4   9   2            5   4   7   4
      - m1 *n1 *n2  *r496 + 3*m1 *n1 *n2 *n3 *r496 - 2*m1 *n1 *n2 *n3 *r496

          4      11   4          4      11   2   2            4      11   4
      - m1 *m2*n1  *n2 *r496 + m1 *m2*n1  *n2 *n3 *r496 - 2*m1 *m2*n1  *n3 *r496

            4      9   6             4      9   4   2
      + 4*m1 *m2*n1 *n2 *r496 - 11*m1 *m2*n1 *n2 *n3 *r496

            4      9   2   4            4      7   8
      - 4*m1 *m2*n1 *n2 *n3 *r496 + 8*m1 *m2*n1 *n2 *r496

             4      7   6   2             4      7   4   4
      - 14*m1 *m2*n1 *n2 *n3 *r496 - 10*m1 *m2*n1 *n2 *n3 *r496

            4      5   8   2             4      5   6   4
      + 9*m1 *m2*n1 *n2 *n3 *r496 - 16*m1 *m2*n1 *n2 *n3 *r496

            4      3   12             4      3   10   2
      - 3*m1 *m2*n1 *n2  *r496 + 11*m1 *m2*n1 *n2  *n3 *r496

            4      3   8   4          3   2   12      2
      - 8*m1 *m2*n1 *n2 *n3 *r496 - m1 *m2 *n1  *n2*n3 *r496

            3   2   10   5          3   2   10   3   2
      - 5*m1 *m2 *n1  *n2 *r496 + m1 *m2 *n1  *n2 *n3 *r496

            3   2   10      4            3   2   8   7
      - 8*m1 *m2 *n1  *n2*n3 *r496 + 2*m1 *m2 *n1 *n2 *r496

             3   2   8   5   2             3   2   8   3   4
      - 26*m1 *m2 *n1 *n2 *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   9             3   2   6   7   2
      + 16*m1 *m2 *n1 *n2 *r496 - 44*m1 *m2 *n1 *n2 *n3 *r496

             3   2   6   5   4            3   2   4   11
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 6*m1 *m2 *n1 *n2  *r496

          3   2   4   9   2             3   2   4   7   4
      - m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

            3   2   2   13             3   2   2   11   2
      - 3*m1 *m2 *n1 *n2  *r496 + 15*m1 *m2 *n1 *n2  *n3 *r496

             3   2   2   9   4            2   3   11   2   2
      - 12*m1 *m2 *n1 *n2 *n3 *r496 - 3*m1 *m2 *n1  *n2 *n3 *r496

            2   3   9   6            2   3   9   4   2
      - 9*m1 *m2 *n1 *n2 *r496 - 3*m1 *m2 *n1 *n2 *n3 *r496

             2   3   9   2   4            2   3   7   8
      - 12*m1 *m2 *n1 *n2 *n3 *r496 - 8*m1 *m2 *n1 *n2 *r496

             2   3   7   6   2             2   3   7   4   4
      - 32*m1 *m2 *n1 *n2 *n3 *r496 - 24*m1 *m2 *n1 *n2 *n3 *r496

             2   3   5   10             2   3   5   8   2
      + 10*m1 *m2 *n1 *n2  *r496 - 58*m1 *m2 *n1 *n2 *n3 *r496

             2   3   5   6   4            2   3   3   12
      - 20*m1 *m2 *n1 *n2 *n3 *r496 + 8*m1 *m2 *n1 *n2  *r496

             2   3   3   10   2             2   3   3   8   4
      - 17*m1 *m2 *n1 *n2  *n3 *r496 - 16*m1 *m2 *n1 *n2 *n3 *r496

          2   3      14            2   3      12   2
      - m1 *m2 *n1*n2  *r496 + 9*m1 *m2 *n1*n2  *n3 *r496

            2   3      10   4               4   10   3   2
      - 8*m1 *m2 *n1*n2  *n3 *r496 - 3*m1*m2 *n1  *n2 *n3 *r496

               4   8   7               4   8   5   2
      - 7*m1*m2 *n1 *n2 *r496 - 5*m1*m2 *n1 *n2 *n3 *r496

               4   8   3   4                4   6   9
      - 8*m1*m2 *n1 *n2 *n3 *r496 - 11*m1*m2 *n1 *n2 *r496

                4   6   7   2                4   6   5   4
      - 20*m1*m2 *n1 *n2 *n3 *r496 - 16*m1*m2 *n1 *n2 *n3 *r496

             4   4   11                4   4   9   2
      - m1*m2 *n1 *n2  *r496 - 35*m1*m2 *n1 *n2 *n3 *r496

                4   4   7   4               4   2   13
      - 10*m1*m2 *n1 *n2 *n3 *r496 + 3*m1*m2 *n1 *n2  *r496

                4   2   11   2               4   2   9   4
      - 15*m1*m2 *n1 *n2  *n3 *r496 - 4*m1*m2 *n1 *n2 *n3 *r496

               4   13   2               4   11   4          5   9   4   2
      + 2*m1*m2 *n2  *n3 *r496 - 2*m1*m2 *n2  *n3 *r496 - m2 *n1 *n2 *n3 *r496

            5   7   8            5   7   6   2            5   7   4   4
      - 2*m2 *n1 *n2 *r496 - 2*m2 *n1 *n2 *n3 *r496 - 2*m2 *n1 *n2 *n3 *r496

            5   5   10            5   5   8   2            5   5   6   4
      - 4*m2 *n1 *n2  *r496 - 5*m2 *n1 *n2 *n3 *r496 - 4*m2 *n1 *n2 *n3 *r496

            5   3   12            5   3   10   2            5   3   8   4
      - 2*m2 *n1 *n2  *r496 - 8*m2 *n1 *n2  *n3 *r496 - 2*m2 *n1 *n2 *n3 *r496

            5      12   2             2   5   9   4        2   5   9   2   2
      - 4*m2 *n1*n2  *n3 *r496)/(2*a33 *m1 *n1 *n2  - 4*a33 *m1 *n1 *n2 *n3

           2   5   7   6        2   5   7   4   2        2   5   5   8
    + 2*a33 *m1 *n1 *n2  - 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2

           2   5   5   6   2        2   5   3   10        2   5   3   8   2
    + 4*a33 *m1 *n1 *n2 *n3  - 2*a33 *m1 *n1 *n2   + 4*a33 *m1 *n1 *n2 *n3

           2   4      10   3        2   4      10      2        2   4      8   5
    - 6*a33 *m1 *m2*n1  *n2  + 8*a33 *m1 *m2*n1  *n2*n3  - 2*a33 *m1 *m2*n1 *n2

           2   4      8   3   2         2   4      6   7
    - 4*a33 *m1 *m2*n1 *n2 *n3  + 10*a33 *m1 *m2*n1 *n2

            2   4      6   5   2        2   4      4   9
    - 20*a33 *m1 *m2*n1 *n2 *n3  + 2*a33 *m1 *m2*n1 *n2

           2   4      4   7   2        2   4      2   11
    + 4*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2*n1 *n2

            2   4      2   9   2        2   3   2   11   2
    + 12*a33 *m1 *m2*n1 *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

           2   3   2   11   2        2   3   2   9   4
    - 4*a33 *m1 *m2 *n1  *n3  - 6*a33 *m1 *m2 *n1 *n2

            2   3   2   9   2   2         2   3   2   7   6
    + 20*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2

            2   3   2   7   4   2        2   3   2   5   8
    + 16*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

            2   3   2   5   6   2         2   3   2   3   10
    - 32*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

            2   3   2   3   8   2        2   3   2      12
    - 12*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1*n2

            2   3   2      10   2        2   2   3   12
    + 12*a33 *m1 *m2 *n1*n2  *n3  - 2*a33 *m1 *m2 *n1  *n2

            2   2   3   10   3         2   2   3   10      2
    + 10*a33 *m1 *m2 *n1  *n2  - 12*a33 *m1 *m2 *n1  *n2*n3

           2   2   3   8   5         2   2   3   8   3   2
    + 8*a33 *m1 *m2 *n1 *n2  + 12*a33 *m1 *m2 *n1 *n2 *n3

            2   2   3   6   7         2   2   3   6   5   2
    - 16*a33 *m1 *m2 *n1 *n2  + 32*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   4   9         2   2   3   4   7   2
    - 6*a33 *m1 *m2 *n1 *n2  - 16*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   2   11         2   2   3   2   9   2
    + 6*a33 *m1 *m2 *n1 *n2   - 20*a33 *m1 *m2 *n1 *n2 *n3

           2   2   3   11   2        2      4   11   2        2      4   9   4
    + 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1*m2 *n1  *n2  + 2*a33 *m1*m2 *n1 *n2

            2      4   9   2   2         2      4   7   6
    - 12*a33 *m1*m2 *n1 *n2 *n3  + 10*a33 *m1*m2 *n1 *n2

           2      4   7   4   2        2      4   5   8
    - 4*a33 *m1*m2 *n1 *n2 *n3  - 2*a33 *m1*m2 *n1 *n2

            2      4   5   6   2        2      4   3   10
    + 20*a33 *m1*m2 *n1 *n2 *n3  - 6*a33 *m1*m2 *n1 *n2

           2      4   3   8   2        2      4      10   2
    + 4*a33 *m1*m2 *n1 *n2 *n3  - 8*a33 *m1*m2 *n1*n2  *n3

           2   5   10   3        2   5   8   5        2   5   8   3   2
    - 2*a33 *m2 *n1  *n2  - 2*a33 *m2 *n1 *n2  - 4*a33 *m2 *n1 *n2 *n3

           2   5   6   7        2   5   6   5   2        2   5   4   9
    + 2*a33 *m2 *n1 *n2  - 4*a33 *m2 *n1 *n2 *n3  + 2*a33 *m2 *n1 *n2

           2   5   4   7   2        2   5   2   9   2
    + 4*a33 *m2 *n1 *n2 *n3  + 4*a33 *m2 *n1 *n2 *n3 )


Parameters

Apart from the condition that they must not vanish to give a non-trivial solution and a non-singular solution with non-vanishing denominators, the following parameters are free:
 r216, r496, r214, r483, m1, n3, m2, n1, n2, a33

Inequalities

In the following not identically vanishing expressions are shown. Any auxiliary variables g00?? are used to express that at least one of their coefficients must not vanish, e.g. g0019*p4 + g0020*p3 means that either p4 or p3 or both are non-vanishing.
 
{m1*n1 + m2*n2,m2,n1 - i*n2,n1 + i*n2,a33,n2,n1}


Relevance for the application:

The new Hamiltonian in form of a list of vanishing expressions: 

{a11,
a12,
a13,
a22,
a23,
b11,
b12,
b13,
b21,
b22,
b23,
b31,
b32,
b33,
c11,
c12,
c13,
c22,
c23,
c33,
m3}$

The system of equations related to the Hamiltonian HAM:

                      2
HAM=u1*n1 + u2*n2 + u3 *a33 + u3*n3 + v1*m1 + v2*m2

has apart from the Hamiltonian and Casimirs the following 4 first integrals: 

     2   2          10   14   6   2           10   14   4   4
FI=u1 *v1 *(2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                       10   14   2   6           10   12   8   2
             + 8*a33*m1  *n1  *n2 *n3  + 2*a33*m1  *n1  *n2 *n3

                       10   12   6   4           10   12   4   6
             - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                       10   10   10   2           10   10   8   4
             - 2*a33*m1  *n1  *n2  *n3  + 8*a33*m1  *n1  *n2 *n3

                       10   10   6   6           10   8   12   2
             - 8*a33*m1  *n1  *n2 *n3  - 2*a33*m1  *n1 *n2  *n3

                       10   8   10   4           10   8   8   6
             + 8*a33*m1  *n1 *n2  *n3  - 8*a33*m1  *n1 *n2 *n3

                       9      15   7            9      15   5   2
             + 2*a33*m1 *m2*n1  *n2  - 16*a33*m1 *m2*n1  *n2 *n3

                        9      15   3   4            9      15      6
             + 32*a33*m1 *m2*n1  *n2 *n3  - 16*a33*m1 *m2*n1  *n2*n3

                       9      13   9            9      13   7   2
             + 4*a33*m1 *m2*n1  *n2  - 12*a33*m1 *m2*n1  *n2 *n3

                        9      13   5   4            9      13   3   6
             - 16*a33*m1 *m2*n1  *n2 *n3  + 48*a33*m1 *m2*n1  *n2 *n3

                        9      11   9   2            9      11   7   4
             + 20*a33*m1 *m2*n1  *n2 *n3  - 80*a33*m1 *m2*n1  *n2 *n3

                        9      11   5   6           9      9   13
             + 80*a33*m1 *m2*n1  *n2 *n3  - 4*a33*m1 *m2*n1 *n2

                        9      9   11   2            9      9   9   4
             + 12*a33*m1 *m2*n1 *n2  *n3  + 16*a33*m1 *m2*n1 *n2 *n3

                        9      9   7   6           9      7   15
             - 48*a33*m1 *m2*n1 *n2 *n3  - 2*a33*m1 *m2*n1 *n2

                       9      7   13   2            9      7   11   4
             - 4*a33*m1 *m2*n1 *n2  *n3  + 48*a33*m1 *m2*n1 *n2  *n3

                        9      7   9   6           8   2   16   6
             - 64*a33*m1 *m2*n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2

                        8   2   16   4   2            8   2   16   2   4
             + 36*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2 *n3

                       8   2   16   6           8   2   14   8
             + 8*a33*m1 *m2 *n1  *n3  - 6*a33*m1 *m2 *n1  *n2

                        8   2   14   6   2             8   2   14   4   4
             - 36*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                         8   2   14   2   6            8   2   12   10
             - 120*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                         8   2   12   8   2             8   2   12   6   4
             - 126*a33*m1 *m2 *n1  *n2 *n3  + 136*a33*m1 *m2 *n1  *n2 *n3

                        8   2   12   4   6            8   2   10   12
             + 88*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2

                        8   2   10   10   2             8   2   10   8   4
             + 18*a33*m1 *m2 *n1  *n2  *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                         8   2   10   6   6            8   2   8   14
             + 344*a33*m1 *m2 *n1  *n2 *n3  - 12*a33*m1 *m2 *n1 *n2

                        8   2   8   12   2            8   2   8   10   4
             + 90*a33*m1 *m2 *n1 *n2  *n3  - 96*a33*m1 *m2 *n1 *n2  *n3

                        8   2   8   8   6            8   2   6   16
             - 96*a33*m1 *m2 *n1 *n2 *n3  - 10*a33*m1 *m2 *n1 *n2

                        8   2   6   14   2             8   2   6   12   4
             + 18*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                         8   2   6   10   6            7   3   17   5
             - 224*a33*m1 *m2 *n1 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2

                        7   3   17   3   2            7   3   17      4
             - 32*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

                        7   3   15   7             7   3   15   5   2
             - 16*a33*m1 *m2 *n1  *n2  + 160*a33*m1 *m2 *n1  *n2 *n3

                         7   3   15   3   4            7   3   15      6
             - 256*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2*n3

                        7   3   13   9             7   3   13   7   2
             - 60*a33*m1 *m2 *n1  *n2  + 128*a33*m1 *m2 *n1  *n2 *n3

                         7   3   13   5   4             7   3   13   3   6
             + 272*a33*m1 *m2 *n1  *n2 *n3  - 384*a33*m1 *m2 *n1  *n2 *n3

                        7   3   11   11             7   3   11   9   2
             + 16*a33*m1 *m2 *n1  *n2   - 336*a33*m1 *m2 *n1  *n2 *n3

                         7   3   11   7   4            7   3   11   5   6
             + 704*a33*m1 *m2 *n1  *n2 *n3  - 64*a33*m1 *m2 *n1  *n2 *n3

                        7   3   9   13             7   3   9   11   2
             + 68*a33*m1 *m2 *n1 *n2   - 176*a33*m1 *m2 *n1 *n2  *n3

                         7   3   9   9   4             7   3   9   7   6
             - 400*a33*m1 *m2 *n1 *n2 *n3  + 832*a33*m1 *m2 *n1 *n2 *n3

                         7   3   7   13   2             7   3   7   11   4
             + 176*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                        7   3   5   17            7   3   5   15   2
             - 20*a33*m1 *m2 *n1 *n2   + 80*a33*m1 *m2 *n1 *n2  *n3

                         7   3   5   13   4             7   3   5   11   6
             + 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                       6   4   18   4            6   4   18   2   2
             - 8*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2 *n3

                        6   4   16   6             6   4   16   4   2
             + 44*a33*m1 *m2 *n1  *n2  - 174*a33*m1 *m2 *n1  *n2 *n3

                         6   4   16   2   4            6   4   14   8
             + 112*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2

                         6   4   14   6   2             6   4   14   4   4
             + 202*a33*m1 *m2 *n1  *n2 *n3  - 672*a33*m1 *m2 *n1  *n2 *n3

                         6   4   14   2   6             6   4   12   10
             + 224*a33*m1 *m2 *n1  *n2 *n3  - 124*a33*m1 *m2 *n1  *n2

                         6   4   12   8   2             6   4   12   6   4
             + 610*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                         6   4   12   4   6            6   4   10   12
             - 672*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2

                         6   4   10   10   2              6   4   10   8   4
             - 302*a33*m1 *m2 *n1  *n2  *n3  + 1456*a33*m1 *m2 *n1  *n2 *n3

                         6   4   10   6   6             6   4   8   14
             - 560*a33*m1 *m2 *n1  *n2 *n3  + 100*a33*m1 *m2 *n1 *n2

                         6   4   8   12   2              6   4   8   8   6
             - 566*a33*m1 *m2 *n1 *n2  *n3  + 1232*a33*m1 *m2 *n1 *n2 *n3

                        6   4   6   16            6   4   6   14   2
             + 40*a33*m1 *m2 *n1 *n2   + 90*a33*m1 *m2 *n1 *n2  *n3

                         6   4   6   12   4             6   4   6   10   6
             - 784*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                        6   4   4   18             6   4   4   16   2
             - 20*a33*m1 *m2 *n1 *n2   + 130*a33*m1 *m2 *n1 *n2  *n3

                         6   4   4   12   6           5   5   19   3
             - 560*a33*m1 *m2 *n1 *n2  *n3  + 2*a33*m1 *m2 *n1  *n2

                        5   5   17   5            5   5   17   3   2
             - 36*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

                        5   5   15   7             5   5   15   5   2
             + 40*a33*m1 *m2 *n1  *n2  - 372*a33*m1 *m2 *n1  *n2 *n3

                         5   5   15   3   4             5   5   13   9
             + 336*a33*m1 *m2 *n1  *n2 *n3  + 156*a33*m1 *m2 *n1  *n2

                         5   5   13   7   2             5   5   13   5   4
             - 132*a33*m1 *m2 *n1  *n2 *n3  - 896*a33*m1 *m2 *n1  *n2 *n3

                         5   5   13   3   6            5   5   11   11
             + 448*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2

                         5   5   11   9   2              5   5   11   7   4
             + 972*a33*m1 *m2 *n1  *n2 *n3  - 1008*a33*m1 *m2 *n1  *n2 *n3

                         5   5   11   5   6             5   5   9   13
             - 672*a33*m1 *m2 *n1  *n2 *n3  - 180*a33*m1 *m2 *n1 *n2

                         5   5   9   11   2              5   5   9   9   4
             + 204*a33*m1 *m2 *n1 *n2  *n3  + 1568*a33*m1 *m2 *n1 *n2 *n3

                          5   5   9   7   6            5   5   7   15
             - 1120*a33*m1 *m2 *n1 *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                         5   5   7   13   2             5   5   7   11   4
             - 708*a33*m1 *m2 *n1 *n2  *n3  + 784*a33*m1 *m2 *n1 *n2  *n3

                          5   5   7   9   6            5   5   5   17
             + 1120*a33*m1 *m2 *n1 *n2 *n3  + 60*a33*m1 *m2 *n1 *n2

                         5   5   5   15   2             5   5   5   13   4
             - 132*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2  *n3

                         5   5   5   11   6            5   5   3   19
             + 672*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                         5   5   3   17   2             5   5   3   15   4
             + 108*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                         5   5   3   13   6            4   6   18   4
             - 448*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                        4   6   16   6             4   6   16   4   2
             - 60*a33*m1 *m2 *n1  *n2  + 150*a33*m1 *m2 *n1  *n2 *n3

                        4   6   14   8             4   6   14   6   2
             - 40*a33*m1 *m2 *n1  *n2  - 370*a33*m1 *m2 *n1  *n2 *n3

                         4   6   14   4   4             4   6   12   10
             + 560*a33*m1 *m2 *n1  *n2 *n3  + 180*a33*m1 *m2 *n1  *n2

                         4   6   12   8   2             4   6   12   6   4
             - 610*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                         4   6   12   4   6            4   6   10   12
             + 560*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2

                         4   6   10   10   2              4   6   10   8   4
             + 694*a33*m1 *m2 *n1  *n2  *n3  - 1568*a33*m1 *m2 *n1  *n2 *n3

                         4   6   10   6   6             4   6   8   14
             - 336*a33*m1 *m2 *n1  *n2 *n3  - 156*a33*m1 *m2 *n1 *n2

                         4   6   8   12   2             4   6   8   10   4
             + 678*a33*m1 *m2 *n1 *n2  *n3  + 784*a33*m1 *m2 *n1 *n2  *n3

                          4   6   8   8   6            4   6   6   16
             - 1232*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2

                         4   6   6   14   2              4   6   6   12   4
             - 370*a33*m1 *m2 *n1 *n2  *n3  + 1120*a33*m1 *m2 *n1 *n2  *n3

                         4   6   6   10   6            4   6   4   18
             + 560*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2

                         4   6   4   16   2             4   6   4   14   4
             - 218*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                         4   6   4   12   6           4   6   2   20
             + 672*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1 *n2

                        4   6   2   18   2             4   6   2   16   4
             + 46*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                         4   6   2   14   6            3   7   17   5
             - 224*a33*m1 *m2 *n1 *n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                        3   7   15   7             3   7   15   5   2
             - 40*a33*m1 *m2 *n1  *n2  + 200*a33*m1 *m2 *n1  *n2 *n3

                         3   7   13   9             3   7   13   7   2
             - 100*a33*m1 *m2 *n1  *n2  - 120*a33*m1 *m2 *n1  *n2 *n3

                         3   7   13   5   4            3   7   11   11
             + 560*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2

                         3   7   11   9   2             3   7   11   5   6
             - 664*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                         3   7   9   13             3   7   9   11   2
             + 124*a33*m1 *m2 *n1 *n2   + 104*a33*m1 *m2 *n1 *n2  *n3

                          3   7   9   9   4            3   7   7   15
             - 1232*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2

                         3   7   7   13   2            3   7   7   11   4
             + 584*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2  *n3

                         3   7   7   9   6            3   7   5   17
             - 832*a33*m1 *m2 *n1 *n2 *n3  - 44*a33*m1 *m2 *n1 *n2

                       3   7   5   15   2             3   7   5   13   4
             + 8*a33*m1 *m2 *n1 *n2  *n3  + 720*a33*m1 *m2 *n1 *n2  *n3

                        3   7   5   11   6           3   7   3   19
             + 64*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2

                         3   7   3   17   2            3   7   3   15   4
             - 120*a33*m1 *m2 *n1 *n2  *n3  + 64*a33*m1 *m2 *n1 *n2  *n3

                         3   7   3   13   6           3   7      19   2
             + 384*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                        3   7      17   4            3   7      15   6
             - 48*a33*m1 *m2 *n1*n2  *n3  - 64*a33*m1 *m2 *n1*n2  *n3

                        2   8   16   6             2   8   14   6   2
             + 20*a33*m1 *m2 *n1  *n2  + 150*a33*m1 *m2 *n1  *n2 *n3

                        2   8   12   10            2   8   12   8   2
             - 68*a33*m1 *m2 *n1  *n2   + 78*a33*m1 *m2 *n1  *n2 *n3

                         2   8   12   6   4            2   8   10   12
             + 336*a33*m1 *m2 *n1  *n2 *n3  - 16*a33*m1 *m2 *n1  *n2

                         2   8   10   10   2             2   8   10   8   4
             - 330*a33*m1 *m2 *n1  *n2  *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                         2   8   10   6   6            2   8   8   14
             + 224*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1 *n2

                         2   8   8   12   2             2   8   8   10   4
             - 162*a33*m1 *m2 *n1 *n2  *n3  - 528*a33*m1 *m2 *n1 *n2  *n3

                        2   8   8   8   6            2   8   6   16
             + 96*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2

                         2   8   6   14   2             2   8   6   12   4
             + 204*a33*m1 *m2 *n1 *n2  *n3  - 296*a33*m1 *m2 *n1 *n2  *n3

                         2   8   6   10   6            2   8   4   18
             - 344*a33*m1 *m2 *n1 *n2  *n3  - 12*a33*m1 *m2 *n1 *n2

                        2   8   4   16   2             2   8   4   14   4
             + 84*a33*m1 *m2 *n1 *n2  *n3  + 200*a33*m1 *m2 *n1 *n2  *n3

                        2   8   4   12   6            2   8   2   18   2
             - 88*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2  *n3

                        2   8   2   16   4             2   8   2   14   6
             + 72*a33*m1 *m2 *n1 *n2  *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

                       2   8   18   4           2   8   16   6
             - 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                           9   15   7               9   13   9
             + 10*a33*m1*m2 *n1  *n2  + 12*a33*m1*m2 *n1  *n2

                           9   13   7   2               9   11   11
             + 60*a33*m1*m2 *n1  *n2 *n3  - 16*a33*m1*m2 *n1  *n2

                           9   11   9   2                9   11   7   4
             + 76*a33*m1*m2 *n1  *n2 *n3  + 112*a33*m1*m2 *n1  *n2 *n3

                           9   9   13               9   9   11   2
             - 20*a33*m1*m2 *n1 *n2   - 68*a33*m1*m2 *n1 *n2  *n3

                            9   9   9   4               9   9   7   6
             + 128*a33*m1*m2 *n1 *n2 *n3  + 64*a33*m1*m2 *n1 *n2 *n3

                          9   7   15                9   7   13   2
             + 6*a33*m1*m2 *n1 *n2   - 100*a33*m1*m2 *n1 *n2  *n3

                            9   7   11   4               9   7   9   6
             - 112*a33*m1*m2 *n1 *n2  *n3  + 48*a33*m1*m2 *n1 *n2 *n3

                          9   5   17              9   5   15   2
             + 8*a33*m1*m2 *n1 *n2   + 8*a33*m1*m2 *n1 *n2  *n3

                            9   5   13   4               9   5   11   6
             - 144*a33*m1*m2 *n1 *n2  *n3  - 80*a33*m1*m2 *n1 *n2  *n3

                           9   3   17   2               9   3   13   6
             + 24*a33*m1*m2 *n1 *n2  *n3  - 48*a33*m1*m2 *n1 *n2  *n3

                           9      17   4               9      15   6
             + 16*a33*m1*m2 *n1*n2  *n3  + 16*a33*m1*m2 *n1*n2  *n3

                       10   14   8           10   12   10
             + 2*a33*m2  *n1  *n2  + 4*a33*m2  *n1  *n2

                        10   12   8   2            10   10   10   2
             + 10*a33*m2  *n1  *n2 *n3  + 18*a33*m2  *n1  *n2  *n3

                        10   10   8   4           10   8   14
             + 16*a33*m2  *n1  *n2 *n3  - 4*a33*m2  *n1 *n2

                       10   8   12   2            10   8   10   4
             - 2*a33*m2  *n1 *n2  *n3  + 24*a33*m2  *n1 *n2  *n3

                       10   8   8   6           10   6   16
             + 8*a33*m2  *n1 *n2 *n3  - 2*a33*m2  *n1 *n2

                        10   6   14   2           10   6   12   4
             - 18*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                       10   6   10   6           10   4   16   2
             + 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                        10   4   14   4           10   4   12   6
             - 24*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                       10   2   16   4           10   2   14   6      2   2
             - 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3 ) + u1 *v2 *(

            10   14   6   2           10   14   4   4           10   14   2   6
      a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

               10   12   8   2           10   12   6   4
       + a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

                 10   12   4   6         10   10   10   2
       + 4*a33*m1  *n1  *n2 *n3  - a33*m1  *n1  *n2  *n3

                 10   10   8   4           10   10   6   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               10   8   12   2           10   8   10   4
       - a33*m1  *n1 *n2  *n3  + 4*a33*m1  *n1 *n2  *n3

                 10   8   8   6         9      15   7
       - 4*a33*m1  *n1 *n2 *n3  + a33*m1 *m2*n1  *n2

                 9      15   5   2            9      15   3   4
       - 8*a33*m1 *m2*n1  *n2 *n3  + 16*a33*m1 *m2*n1  *n2 *n3

                 9      15      6           9      13   9
       - 8*a33*m1 *m2*n1  *n2*n3  + 2*a33*m1 *m2*n1  *n2

                 9      13   7   2           9      13   5   4
       - 6*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1  *n2 *n3

                  9      13   3   6            9      11   9   2
       + 24*a33*m1 *m2*n1  *n2 *n3  + 10*a33*m1 *m2*n1  *n2 *n3

                  9      11   7   4            9      11   5   6
       - 40*a33*m1 *m2*n1  *n2 *n3  + 40*a33*m1 *m2*n1  *n2 *n3

                 9      9   13           9      9   11   2
       - 2*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

                 9      9   9   4            9      9   7   6
       + 8*a33*m1 *m2*n1 *n2 *n3  - 24*a33*m1 *m2*n1 *n2 *n3

               9      7   15           9      7   13   2
       - a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

                  9      7   11   4            9      7   9   6
       + 24*a33*m1 *m2*n1 *n2  *n3  - 32*a33*m1 *m2*n1 *n2 *n3

                 8   2   16   6            8   2   16   4   2
       - 4*a33*m1 *m2 *n1  *n2  + 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   16   2   4           8   2   16   6
       - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

                 8   2   14   8            8   2   14   6   2
       - 3*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   14   4   4            8   2   14   2   6
       + 84*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   10            8   2   12   8   2
       + 10*a33*m1 *m2 *n1  *n2   - 63*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   6   4            8   2   12   4   6
       + 68*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1  *n2 *n3

                 8   2   10   12           8   2   10   10   2
       + 8*a33*m1 *m2 *n1  *n2   + 9*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   8   4             8   2   10   6   6
       - 140*a33*m1 *m2 *n1  *n2 *n3  + 172*a33*m1 *m2 *n1  *n2 *n3

                 8   2   8   14            8   2   8   12   2
       - 6*a33*m1 *m2 *n1 *n2   + 45*a33*m1 *m2 *n1 *n2  *n3

                  8   2   8   10   4            8   2   8   8   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2 *n3

                 8   2   6   16           8   2   6   14   2
       - 5*a33*m1 *m2 *n1 *n2   + 9*a33*m1 *m2 *n1 *n2  *n3

                  8   2   6   12   4             8   2   6   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                 7   3   17   5            7   3   17   3   2
       + 6*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2 *n3

                 7   3   17      4           7   3   15   7
       + 8*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

                  7   3   15   5   2             7   3   15   3   4
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15      6            7   3   13   9
       + 32*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                  7   3   13   7   2             7   3   13   5   4
       + 64*a33*m1 *m2 *n1  *n2 *n3  + 136*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   3   6           7   3   11   11
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                   7   3   11   9   2             7   3   11   7   4
       - 168*a33*m1 *m2 *n1  *n2 *n3  + 352*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   5   6            7   3   9   13
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 34*a33*m1 *m2 *n1 *n2

                  7   3   9   11   2             7   3   9   9   4
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

                   7   3   9   7   6            7   3   7   13   2
       + 416*a33*m1 *m2 *n1 *n2 *n3  + 88*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   11   4            7   3   5   17
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  7   3   5   15   2            7   3   5   13   4
       + 40*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   11   6           6   4   18   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1  *n2

                 6   4   18   2   2            6   4   16   6
       + 5*a33*m1 *m2 *n1  *n2 *n3  + 22*a33*m1 *m2 *n1  *n2

                  6   4   16   4   2            6   4   16   2   4
       - 87*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   8             6   4   14   6   2
       + 20*a33*m1 *m2 *n1  *n2  + 101*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   4   4             6   4   14   2   6
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   10             6   4   12   8   2
       - 62*a33*m1 *m2 *n1  *n2   + 305*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   6   4             6   4   12   4   6
       - 56*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  6   4   10   12             6   4   10   10   2
       - 36*a33*m1 *m2 *n1  *n2   - 151*a33*m1 *m2 *n1  *n2  *n3

                   6   4   10   8   4             6   4   10   6   6
       + 728*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  6   4   8   14             6   4   8   12   2
       + 50*a33*m1 *m2 *n1 *n2   - 283*a33*m1 *m2 *n1 *n2  *n3

                   6   4   8   8   6            6   4   6   16
       + 616*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  6   4   6   14   2             6   4   6   12   4
       + 45*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   10   6            6   4   4   18
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  6   4   4   16   2             6   4   4   12   6
       + 65*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

               5   5   19   3            5   5   17   5
       + a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                  5   5   17   3   2            5   5   15   7
       + 30*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   5   5   15   5   2             5   5   15   3   4
       - 186*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  5   5   13   9            5   5   13   7   2
       + 78*a33*m1 *m2 *n1  *n2  - 66*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   5   4             5   5   13   3   6
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                  5   5   11   11             5   5   11   9   2
       - 36*a33*m1 *m2 *n1  *n2   + 486*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   7   4             5   5   11   5   6
       - 504*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   5   9   13             5   5   9   11   2
       - 90*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   5   5   9   9   4             5   5   9   7   6
       + 784*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   15             5   5   7   13   2
       + 20*a33*m1 *m2 *n1 *n2   - 354*a33*m1 *m2 *n1 *n2  *n3

                   5   5   7   11   4             5   5   7   9   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   5   17            5   5   5   15   2
       + 30*a33*m1 *m2 *n1 *n2   - 66*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   13   4             5   5   5   11   6
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                 5   5   3   19            5   5   3   17   2
       - 5*a33*m1 *m2 *n1 *n2   + 54*a33*m1 *m2 *n1 *n2  *n3

                  5   5   3   15   4             5   5   3   13   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                 4   6   18   4            4   6   16   6
       + 5*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2

                  4   6   16   4   2            4   6   14   8
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   4   6   14   6   2             4   6   14   4   4
       - 185*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   12   10             4   6   12   8   2
       + 90*a33*m1 *m2 *n1  *n2   - 305*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   6   4             4   6   12   4   6
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   10   12             4   6   10   10   2
       + 36*a33*m1 *m2 *n1  *n2   + 347*a33*m1 *m2 *n1  *n2  *n3

                   4   6   10   8   4             4   6   10   6   6
       - 784*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  4   6   8   14             4   6   8   12   2
       - 78*a33*m1 *m2 *n1 *n2   + 339*a33*m1 *m2 *n1 *n2  *n3

                   4   6   8   10   4             4   6   8   8   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  4   6   6   16             4   6   6   14   2
       - 20*a33*m1 *m2 *n1 *n2   - 185*a33*m1 *m2 *n1 *n2  *n3

                   4   6   6   12   4             4   6   6   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

                  4   6   4   18             4   6   4   16   2
       + 18*a33*m1 *m2 *n1 *n2   - 109*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   14   4             4   6   4   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

               4   6   2   20            4   6   2   18   2
       - a33*m1 *m2 *n1 *n2   + 23*a33*m1 *m2 *n1 *n2  *n3

                  4   6   2   16   4             4   6   2   14   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                  3   7   17   5            3   7   15   7
       + 10*a33*m1 *m2 *n1  *n2  - 20*a33*m1 *m2 *n1  *n2

                   3   7   15   5   2            3   7   13   9
       + 100*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  3   7   13   7   2             3   7   13   5   4
       - 60*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  3   7   11   11             3   7   11   9   2
       + 36*a33*m1 *m2 *n1  *n2   - 332*a33*m1 *m2 *n1  *n2 *n3

                   3   7   11   5   6            3   7   9   13
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 62*a33*m1 *m2 *n1 *n2

                  3   7   9   11   2             3   7   9   9   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   15             3   7   7   13   2
       - 20*a33*m1 *m2 *n1 *n2   + 292*a33*m1 *m2 *n1 *n2  *n3

                  3   7   7   11   4             3   7   7   9   6
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 416*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   17           3   7   5   15   2
       - 22*a33*m1 *m2 *n1 *n2   + 4*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   13   4            3   7   5   11   6
       + 360*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   19            3   7   3   17   2
       + 4*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   15   4             3   7   3   13   6
       + 32*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   7      19   2            3   7      17   4
       + 4*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  3   7      15   6            2   8   16   6
       - 32*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  2   8   14   6   2            2   8   12   10
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 34*a33*m1 *m2 *n1  *n2

                  2   8   12   8   2             2   8   12   6   4
       + 39*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                 2   8   10   12             2   8   10   10   2
       - 8*a33*m1 *m2 *n1  *n2   - 165*a33*m1 *m2 *n1  *n2  *n3

                   2   8   10   8   4             2   8   10   6   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  2   8   8   14            2   8   8   12   2
       + 30*a33*m1 *m2 *n1 *n2   - 81*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   10   4            2   8   8   8   6
       - 264*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

                 2   8   6   16             2   8   6   14   2
       + 8*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   12   4             2   8   6   10   6
       - 148*a33*m1 *m2 *n1 *n2  *n3  - 172*a33*m1 *m2 *n1 *n2  *n3

                 2   8   4   18            2   8   4   16   2
       - 6*a33*m1 *m2 *n1 *n2   + 42*a33*m1 *m2 *n1 *n2  *n3

                   2   8   4   14   4            2   8   4   12   6
       + 100*a33*m1 *m2 *n1 *n2  *n3  - 44*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   18   2            2   8   2   16   4
       - 12*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   14   6           2   8   18   4
       + 60*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n2  *n3

                 2   8   16   6              9   15   7              9   13   9
       - 4*a33*m1 *m2 *n2  *n3  + 5*a33*m1*m2 *n1  *n2  + 6*a33*m1*m2 *n1  *n2

                     9   13   7   2              9   11   11
       + 30*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1  *n2

                     9   11   9   2               9   11   7   4
       + 38*a33*m1*m2 *n1  *n2 *n3  + 56*a33*m1*m2 *n1  *n2 *n3

                     9   9   13               9   9   11   2
       - 10*a33*m1*m2 *n1 *n2   - 34*a33*m1*m2 *n1 *n2  *n3

                     9   9   9   4               9   9   7   6
       + 64*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                    9   7   15               9   7   13   2
       + 3*a33*m1*m2 *n1 *n2   - 50*a33*m1*m2 *n1 *n2  *n3

                     9   7   11   4               9   7   9   6
       - 56*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2 *n3

                    9   5   17              9   5   15   2
       + 4*a33*m1*m2 *n1 *n2   + 4*a33*m1*m2 *n1 *n2  *n3

                     9   5   13   4               9   5   11   6
       - 72*a33*m1*m2 *n1 *n2  *n3  - 40*a33*m1*m2 *n1 *n2  *n3

                     9   3   17   2               9   3   13   6
       + 12*a33*m1*m2 *n1 *n2  *n3  - 24*a33*m1*m2 *n1 *n2  *n3

                    9      17   4              9      15   6         10   14   8
       + 8*a33*m1*m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1*n2  *n3  + a33*m2  *n1  *n2

                 10   12   10           10   12   8   2
       + 2*a33*m2  *n1  *n2   + 5*a33*m2  *n1  *n2 *n3

                 10   10   10   2           10   10   8   4
       + 9*a33*m2  *n1  *n2  *n3  + 8*a33*m2  *n1  *n2 *n3

                 10   8   14         10   8   12   2            10   8   10   4
       - 2*a33*m2  *n1 *n2   - a33*m2  *n1 *n2  *n3  + 12*a33*m2  *n1 *n2  *n3

                 10   8   8   6         10   6   16           10   6   14   2
       + 4*a33*m2  *n1 *n2 *n3  - a33*m2  *n1 *n2   - 9*a33*m2  *n1 *n2  *n3

                 10   6   12   4           10   6   10   6
       - 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3

                 10   4   16   2            10   4   14   4
       - 4*a33*m2  *n1 *n2  *n3  - 12*a33*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2  *n3

                 10   2   14   6      2   2        10   14   6   2
       - 4*a33*m2  *n1 *n2  *n3 ) + u1 *v3 *(a33*m1  *n1  *n2 *n3

                 10   14   4   4           10   14   2   6
       - 4*a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

               10   12   8   2           10   12   6   4
       + a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

                 10   12   4   6         10   10   10   2
       + 4*a33*m1  *n1  *n2 *n3  - a33*m1  *n1  *n2  *n3

                 10   10   8   4           10   10   6   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               10   8   12   2           10   8   10   4
       - a33*m1  *n1 *n2  *n3  + 4*a33*m1  *n1 *n2  *n3

                 10   8   8   6         9      15   7
       - 4*a33*m1  *n1 *n2 *n3  + a33*m1 *m2*n1  *n2

                 9      15   5   2            9      15   3   4
       - 8*a33*m1 *m2*n1  *n2 *n3  + 16*a33*m1 *m2*n1  *n2 *n3

                 9      15      6           9      13   9
       - 8*a33*m1 *m2*n1  *n2*n3  + 2*a33*m1 *m2*n1  *n2

                 9      13   7   2           9      13   5   4
       - 6*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1  *n2 *n3

                  9      13   3   6            9      11   9   2
       + 24*a33*m1 *m2*n1  *n2 *n3  + 10*a33*m1 *m2*n1  *n2 *n3

                  9      11   7   4            9      11   5   6
       - 40*a33*m1 *m2*n1  *n2 *n3  + 40*a33*m1 *m2*n1  *n2 *n3

                 9      9   13           9      9   11   2
       - 2*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

                 9      9   9   4            9      9   7   6
       + 8*a33*m1 *m2*n1 *n2 *n3  - 24*a33*m1 *m2*n1 *n2 *n3

               9      7   15           9      7   13   2
       - a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

                  9      7   11   4            9      7   9   6
       + 24*a33*m1 *m2*n1 *n2  *n3  - 32*a33*m1 *m2*n1 *n2 *n3

                 8   2   16   6            8   2   16   4   2
       - 4*a33*m1 *m2 *n1  *n2  + 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   16   2   4           8   2   16   6
       - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

                 8   2   14   8            8   2   14   6   2
       - 3*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   14   4   4            8   2   14   2   6
       + 84*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   10            8   2   12   8   2
       + 10*a33*m1 *m2 *n1  *n2   - 63*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   6   4            8   2   12   4   6
       + 68*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1  *n2 *n3

                 8   2   10   12           8   2   10   10   2
       + 8*a33*m1 *m2 *n1  *n2   + 9*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   8   4             8   2   10   6   6
       - 140*a33*m1 *m2 *n1  *n2 *n3  + 172*a33*m1 *m2 *n1  *n2 *n3

                 8   2   8   14            8   2   8   12   2
       - 6*a33*m1 *m2 *n1 *n2   + 45*a33*m1 *m2 *n1 *n2  *n3

                  8   2   8   10   4            8   2   8   8   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2 *n3

                 8   2   6   16           8   2   6   14   2
       - 5*a33*m1 *m2 *n1 *n2   + 9*a33*m1 *m2 *n1 *n2  *n3

                  8   2   6   12   4             8   2   6   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                 7   3   17   5            7   3   17   3   2
       + 6*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2 *n3

                 7   3   17      4           7   3   15   7
       + 8*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

                  7   3   15   5   2             7   3   15   3   4
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15      6            7   3   13   9
       + 32*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                  7   3   13   7   2             7   3   13   5   4
       + 64*a33*m1 *m2 *n1  *n2 *n3  + 136*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   3   6           7   3   11   11
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                   7   3   11   9   2             7   3   11   7   4
       - 168*a33*m1 *m2 *n1  *n2 *n3  + 352*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   5   6            7   3   9   13
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 34*a33*m1 *m2 *n1 *n2

                  7   3   9   11   2             7   3   9   9   4
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

                   7   3   9   7   6            7   3   7   13   2
       + 416*a33*m1 *m2 *n1 *n2 *n3  + 88*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   11   4            7   3   5   17
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  7   3   5   15   2            7   3   5   13   4
       + 40*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   11   6           6   4   18   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1  *n2

                 6   4   18   2   2            6   4   16   6
       + 5*a33*m1 *m2 *n1  *n2 *n3  + 22*a33*m1 *m2 *n1  *n2

                  6   4   16   4   2            6   4   16   2   4
       - 87*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   8             6   4   14   6   2
       + 20*a33*m1 *m2 *n1  *n2  + 101*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   4   4             6   4   14   2   6
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   10             6   4   12   8   2
       - 62*a33*m1 *m2 *n1  *n2   + 305*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   6   4             6   4   12   4   6
       - 56*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  6   4   10   12             6   4   10   10   2
       - 36*a33*m1 *m2 *n1  *n2   - 151*a33*m1 *m2 *n1  *n2  *n3

                   6   4   10   8   4             6   4   10   6   6
       + 728*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  6   4   8   14             6   4   8   12   2
       + 50*a33*m1 *m2 *n1 *n2   - 283*a33*m1 *m2 *n1 *n2  *n3

                   6   4   8   8   6            6   4   6   16
       + 616*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  6   4   6   14   2             6   4   6   12   4
       + 45*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   10   6            6   4   4   18
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  6   4   4   16   2             6   4   4   12   6
       + 65*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

               5   5   19   3            5   5   17   5
       + a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                  5   5   17   3   2            5   5   15   7
       + 30*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   5   5   15   5   2             5   5   15   3   4
       - 186*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  5   5   13   9            5   5   13   7   2
       + 78*a33*m1 *m2 *n1  *n2  - 66*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   5   4             5   5   13   3   6
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                  5   5   11   11             5   5   11   9   2
       - 36*a33*m1 *m2 *n1  *n2   + 486*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   7   4             5   5   11   5   6
       - 504*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   5   9   13             5   5   9   11   2
       - 90*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   5   5   9   9   4             5   5   9   7   6
       + 784*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   15             5   5   7   13   2
       + 20*a33*m1 *m2 *n1 *n2   - 354*a33*m1 *m2 *n1 *n2  *n3

                   5   5   7   11   4             5   5   7   9   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   5   17            5   5   5   15   2
       + 30*a33*m1 *m2 *n1 *n2   - 66*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   13   4             5   5   5   11   6
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                 5   5   3   19            5   5   3   17   2
       - 5*a33*m1 *m2 *n1 *n2   + 54*a33*m1 *m2 *n1 *n2  *n3

                  5   5   3   15   4             5   5   3   13   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                 4   6   18   4            4   6   16   6
       + 5*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2

                  4   6   16   4   2            4   6   14   8
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   4   6   14   6   2             4   6   14   4   4
       - 185*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   12   10             4   6   12   8   2
       + 90*a33*m1 *m2 *n1  *n2   - 305*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   6   4             4   6   12   4   6
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   10   12             4   6   10   10   2
       + 36*a33*m1 *m2 *n1  *n2   + 347*a33*m1 *m2 *n1  *n2  *n3

                   4   6   10   8   4             4   6   10   6   6
       - 784*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  4   6   8   14             4   6   8   12   2
       - 78*a33*m1 *m2 *n1 *n2   + 339*a33*m1 *m2 *n1 *n2  *n3

                   4   6   8   10   4             4   6   8   8   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  4   6   6   16             4   6   6   14   2
       - 20*a33*m1 *m2 *n1 *n2   - 185*a33*m1 *m2 *n1 *n2  *n3

                   4   6   6   12   4             4   6   6   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

                  4   6   4   18             4   6   4   16   2
       + 18*a33*m1 *m2 *n1 *n2   - 109*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   14   4             4   6   4   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

               4   6   2   20            4   6   2   18   2
       - a33*m1 *m2 *n1 *n2   + 23*a33*m1 *m2 *n1 *n2  *n3

                  4   6   2   16   4             4   6   2   14   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                  3   7   17   5            3   7   15   7
       + 10*a33*m1 *m2 *n1  *n2  - 20*a33*m1 *m2 *n1  *n2

                   3   7   15   5   2            3   7   13   9
       + 100*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  3   7   13   7   2             3   7   13   5   4
       - 60*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  3   7   11   11             3   7   11   9   2
       + 36*a33*m1 *m2 *n1  *n2   - 332*a33*m1 *m2 *n1  *n2 *n3

                   3   7   11   5   6            3   7   9   13
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 62*a33*m1 *m2 *n1 *n2

                  3   7   9   11   2             3   7   9   9   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   15             3   7   7   13   2
       - 20*a33*m1 *m2 *n1 *n2   + 292*a33*m1 *m2 *n1 *n2  *n3

                  3   7   7   11   4             3   7   7   9   6
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 416*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   17           3   7   5   15   2
       - 22*a33*m1 *m2 *n1 *n2   + 4*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   13   4            3   7   5   11   6
       + 360*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   19            3   7   3   17   2
       + 4*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   15   4             3   7   3   13   6
       + 32*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   7      19   2            3   7      17   4
       + 4*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  3   7      15   6            2   8   16   6
       - 32*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  2   8   14   6   2            2   8   12   10
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 34*a33*m1 *m2 *n1  *n2

                  2   8   12   8   2             2   8   12   6   4
       + 39*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                 2   8   10   12             2   8   10   10   2
       - 8*a33*m1 *m2 *n1  *n2   - 165*a33*m1 *m2 *n1  *n2  *n3

                   2   8   10   8   4             2   8   10   6   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  2   8   8   14            2   8   8   12   2
       + 30*a33*m1 *m2 *n1 *n2   - 81*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   10   4            2   8   8   8   6
       - 264*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

                 2   8   6   16             2   8   6   14   2
       + 8*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   12   4             2   8   6   10   6
       - 148*a33*m1 *m2 *n1 *n2  *n3  - 172*a33*m1 *m2 *n1 *n2  *n3

                 2   8   4   18            2   8   4   16   2
       - 6*a33*m1 *m2 *n1 *n2   + 42*a33*m1 *m2 *n1 *n2  *n3

                   2   8   4   14   4            2   8   4   12   6
       + 100*a33*m1 *m2 *n1 *n2  *n3  - 44*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   18   2            2   8   2   16   4
       - 12*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   14   6           2   8   18   4
       + 60*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n2  *n3

                 2   8   16   6              9   15   7              9   13   9
       - 4*a33*m1 *m2 *n2  *n3  + 5*a33*m1*m2 *n1  *n2  + 6*a33*m1*m2 *n1  *n2

                     9   13   7   2              9   11   11
       + 30*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1  *n2

                     9   11   9   2               9   11   7   4
       + 38*a33*m1*m2 *n1  *n2 *n3  + 56*a33*m1*m2 *n1  *n2 *n3

                     9   9   13               9   9   11   2
       - 10*a33*m1*m2 *n1 *n2   - 34*a33*m1*m2 *n1 *n2  *n3

                     9   9   9   4               9   9   7   6
       + 64*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                    9   7   15               9   7   13   2
       + 3*a33*m1*m2 *n1 *n2   - 50*a33*m1*m2 *n1 *n2  *n3

                     9   7   11   4               9   7   9   6
       - 56*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2 *n3

                    9   5   17              9   5   15   2
       + 4*a33*m1*m2 *n1 *n2   + 4*a33*m1*m2 *n1 *n2  *n3

                     9   5   13   4               9   5   11   6
       - 72*a33*m1*m2 *n1 *n2  *n3  - 40*a33*m1*m2 *n1 *n2  *n3

                     9   3   17   2               9   3   13   6
       + 12*a33*m1*m2 *n1 *n2  *n3  - 24*a33*m1*m2 *n1 *n2  *n3

                    9      17   4              9      15   6         10   14   8
       + 8*a33*m1*m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1*n2  *n3  + a33*m2  *n1  *n2

                 10   12   10           10   12   8   2
       + 2*a33*m2  *n1  *n2   + 5*a33*m2  *n1  *n2 *n3

                 10   10   10   2           10   10   8   4
       + 9*a33*m2  *n1  *n2  *n3  + 8*a33*m2  *n1  *n2 *n3

                 10   8   14         10   8   12   2            10   8   10   4
       - 2*a33*m2  *n1 *n2   - a33*m2  *n1 *n2  *n3  + 12*a33*m2  *n1 *n2  *n3

                 10   8   8   6         10   6   16           10   6   14   2
       + 4*a33*m2  *n1 *n2 *n3  - a33*m2  *n1 *n2   - 9*a33*m2  *n1 *n2  *n3

                 10   6   12   4           10   6   10   6
       - 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3

                 10   4   16   2            10   4   14   4
       - 4*a33*m2  *n1 *n2  *n3  - 12*a33*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2  *n3

                 10   2   14   6                         10   14   6   2
       - 4*a33*m2  *n1 *n2  *n3 ) + u1*u3*v1*v3*(2*a33*m1  *n1  *n2 *n3

                 10   14   4   4           10   14   2   6
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 10   12   8   2           10   12   6   4
       + 2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 10   12   4   6           10   10   10   2
       + 8*a33*m1  *n1  *n2 *n3  - 2*a33*m1  *n1  *n2  *n3

                 10   10   8   4           10   10   6   6
       + 8*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 10   8   12   2           10   8   10   4
       - 2*a33*m1  *n1 *n2  *n3  + 8*a33*m1  *n1 *n2  *n3

                 10   8   8   6           9      15   7
       - 8*a33*m1  *n1 *n2 *n3  + 2*a33*m1 *m2*n1  *n2

                  9      15   5   2            9      15   3   4
       - 16*a33*m1 *m2*n1  *n2 *n3  + 32*a33*m1 *m2*n1  *n2 *n3

                  9      15      6           9      13   9
       - 16*a33*m1 *m2*n1  *n2*n3  + 4*a33*m1 *m2*n1  *n2

                  9      13   7   2            9      13   5   4
       - 12*a33*m1 *m2*n1  *n2 *n3  - 16*a33*m1 *m2*n1  *n2 *n3

                  9      13   3   6            9      11   9   2
       + 48*a33*m1 *m2*n1  *n2 *n3  + 20*a33*m1 *m2*n1  *n2 *n3

                  9      11   7   4            9      11   5   6
       - 80*a33*m1 *m2*n1  *n2 *n3  + 80*a33*m1 *m2*n1  *n2 *n3

                 9      9   13            9      9   11   2
       - 4*a33*m1 *m2*n1 *n2   + 12*a33*m1 *m2*n1 *n2  *n3

                  9      9   9   4            9      9   7   6
       + 16*a33*m1 *m2*n1 *n2 *n3  - 48*a33*m1 *m2*n1 *n2 *n3

                 9      7   15           9      7   13   2
       - 2*a33*m1 *m2*n1 *n2   - 4*a33*m1 *m2*n1 *n2  *n3

                  9      7   11   4            9      7   9   6
       + 48*a33*m1 *m2*n1 *n2  *n3  - 64*a33*m1 *m2*n1 *n2 *n3

                 8   2   16   6            8   2   16   4   2
       - 8*a33*m1 *m2 *n1  *n2  + 36*a33*m1 *m2 *n1  *n2 *n3

                  8   2   16   2   4           8   2   16   6
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                 8   2   14   8            8   2   14   6   2
       - 6*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2 *n3

                   8   2   14   4   4             8   2   14   2   6
       + 168*a33*m1 *m2 *n1  *n2 *n3  - 120*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   10             8   2   12   8   2
       + 20*a33*m1 *m2 *n1  *n2   - 126*a33*m1 *m2 *n1  *n2 *n3

                   8   2   12   6   4            8   2   12   4   6
       + 136*a33*m1 *m2 *n1  *n2 *n3  + 88*a33*m1 *m2 *n1  *n2 *n3

                  8   2   10   12            8   2   10   10   2
       + 16*a33*m1 *m2 *n1  *n2   + 18*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   8   4             8   2   10   6   6
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 344*a33*m1 *m2 *n1  *n2 *n3

                  8   2   8   14            8   2   8   12   2
       - 12*a33*m1 *m2 *n1 *n2   + 90*a33*m1 *m2 *n1 *n2  *n3

                  8   2   8   10   4            8   2   8   8   6
       - 96*a33*m1 *m2 *n1 *n2  *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

                  8   2   6   16            8   2   6   14   2
       - 10*a33*m1 *m2 *n1 *n2   + 18*a33*m1 *m2 *n1 *n2  *n3

                   8   2   6   12   4             8   2   6   10   6
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                  7   3   17   5            7   3   17   3   2
       + 12*a33*m1 *m2 *n1  *n2  - 32*a33*m1 *m2 *n1  *n2 *n3

                  7   3   17      4            7   3   15   7
       + 16*a33*m1 *m2 *n1  *n2*n3  - 16*a33*m1 *m2 *n1  *n2

                   7   3   15   5   2             7   3   15   3   4
       + 160*a33*m1 *m2 *n1  *n2 *n3  - 256*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15      6            7   3   13   9
       + 64*a33*m1 *m2 *n1  *n2*n3  - 60*a33*m1 *m2 *n1  *n2

                   7   3   13   7   2             7   3   13   5   4
       + 128*a33*m1 *m2 *n1  *n2 *n3  + 272*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   3   6            7   3   11   11
       - 384*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2

                   7   3   11   9   2             7   3   11   7   4
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 704*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   5   6            7   3   9   13
       - 64*a33*m1 *m2 *n1  *n2 *n3  + 68*a33*m1 *m2 *n1 *n2

                   7   3   9   11   2             7   3   9   9   4
       - 176*a33*m1 *m2 *n1 *n2  *n3  - 400*a33*m1 *m2 *n1 *n2 *n3

                   7   3   9   7   6             7   3   7   13   2
       + 832*a33*m1 *m2 *n1 *n2 *n3  + 176*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   11   4            7   3   5   17
       - 448*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1 *n2

                  7   3   5   15   2             7   3   5   13   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   11   6           6   4   18   4
       - 448*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1  *n2

                  6   4   18   2   2            6   4   16   6
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1  *n2

                   6   4   16   4   2             6   4   16   2   4
       - 174*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   8             6   4   14   6   2
       + 40*a33*m1 *m2 *n1  *n2  + 202*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   4   4             6   4   14   2   6
       - 672*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                   6   4   12   10             6   4   12   8   2
       - 124*a33*m1 *m2 *n1  *n2   + 610*a33*m1 *m2 *n1  *n2 *n3

                   6   4   12   6   4             6   4   12   4   6
       - 112*a33*m1 *m2 *n1  *n2 *n3  - 672*a33*m1 *m2 *n1  *n2 *n3

                  6   4   10   12             6   4   10   10   2
       - 72*a33*m1 *m2 *n1  *n2   - 302*a33*m1 *m2 *n1  *n2  *n3

                    6   4   10   8   4             6   4   10   6   6
       + 1456*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   6   4   8   14             6   4   8   12   2
       + 100*a33*m1 *m2 *n1 *n2   - 566*a33*m1 *m2 *n1 *n2  *n3

                    6   4   8   8   6            6   4   6   16
       + 1232*a33*m1 *m2 *n1 *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                  6   4   6   14   2             6   4   6   12   4
       + 90*a33*m1 *m2 *n1 *n2  *n3  - 784*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   10   6            6   4   4   18
       + 336*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1 *n2

                   6   4   4   16   2             6   4   4   12   6
       + 130*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2  *n3

                 5   5   19   3            5   5   17   5
       + 2*a33*m1 *m2 *n1  *n2  - 36*a33*m1 *m2 *n1  *n2

                  5   5   17   3   2            5   5   15   7
       + 60*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2

                   5   5   15   5   2             5   5   15   3   4
       - 372*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   9             5   5   13   7   2
       + 156*a33*m1 *m2 *n1  *n2  - 132*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   5   4             5   5   13   3   6
       - 896*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                  5   5   11   11             5   5   11   9   2
       - 72*a33*m1 *m2 *n1  *n2   + 972*a33*m1 *m2 *n1  *n2 *n3

                    5   5   11   7   4             5   5   11   5   6
       - 1008*a33*m1 *m2 *n1  *n2 *n3  - 672*a33*m1 *m2 *n1  *n2 *n3

                   5   5   9   13             5   5   9   11   2
       - 180*a33*m1 *m2 *n1 *n2   + 204*a33*m1 *m2 *n1 *n2  *n3

                    5   5   9   9   4              5   5   9   7   6
       + 1568*a33*m1 *m2 *n1 *n2 *n3  - 1120*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   15             5   5   7   13   2
       + 40*a33*m1 *m2 *n1 *n2   - 708*a33*m1 *m2 *n1 *n2  *n3

                   5   5   7   11   4              5   5   7   9   6
       + 784*a33*m1 *m2 *n1 *n2  *n3  + 1120*a33*m1 *m2 *n1 *n2 *n3

                  5   5   5   17             5   5   5   15   2
       + 60*a33*m1 *m2 *n1 *n2   - 132*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   13   4             5   5   5   11   6
       - 672*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                  5   5   3   19             5   5   3   17   2
       - 10*a33*m1 *m2 *n1 *n2   + 108*a33*m1 *m2 *n1 *n2  *n3

                   5   5   3   15   4             5   5   3   13   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                  4   6   18   4            4   6   16   6
       + 10*a33*m1 *m2 *n1  *n2  - 60*a33*m1 *m2 *n1  *n2

                   4   6   16   4   2            4   6   14   8
       + 150*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2

                   4   6   14   6   2             4   6   14   4   4
       - 370*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   10             4   6   12   8   2
       + 180*a33*m1 *m2 *n1  *n2   - 610*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   6   4             4   6   12   4   6
       - 560*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                  4   6   10   12             4   6   10   10   2
       + 72*a33*m1 *m2 *n1  *n2   + 694*a33*m1 *m2 *n1  *n2  *n3

                    4   6   10   8   4             4   6   10   6   6
       - 1568*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                   4   6   8   14             4   6   8   12   2
       - 156*a33*m1 *m2 *n1 *n2   + 678*a33*m1 *m2 *n1 *n2  *n3

                   4   6   8   10   4              4   6   8   8   6
       + 784*a33*m1 *m2 *n1 *n2  *n3  - 1232*a33*m1 *m2 *n1 *n2 *n3

                  4   6   6   16             4   6   6   14   2
       - 40*a33*m1 *m2 *n1 *n2   - 370*a33*m1 *m2 *n1 *n2  *n3

                    4   6   6   12   4             4   6   6   10   6
       + 1120*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2  *n3

                  4   6   4   18             4   6   4   16   2
       + 36*a33*m1 *m2 *n1 *n2   - 218*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   14   4             4   6   4   12   6
       - 224*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                 4   6   2   20            4   6   2   18   2
       - 2*a33*m1 *m2 *n1 *n2   + 46*a33*m1 *m2 *n1 *n2  *n3

                   4   6   2   16   4             4   6   2   14   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                  3   7   17   5            3   7   15   7
       + 20*a33*m1 *m2 *n1  *n2  - 40*a33*m1 *m2 *n1  *n2

                   3   7   15   5   2             3   7   13   9
       + 200*a33*m1 *m2 *n1  *n2 *n3  - 100*a33*m1 *m2 *n1  *n2

                   3   7   13   7   2             3   7   13   5   4
       - 120*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                  3   7   11   11             3   7   11   9   2
       + 72*a33*m1 *m2 *n1  *n2   - 664*a33*m1 *m2 *n1  *n2 *n3

                   3   7   11   5   6             3   7   9   13
       + 448*a33*m1 *m2 *n1  *n2 *n3  + 124*a33*m1 *m2 *n1 *n2

                   3   7   9   11   2              3   7   9   9   4
       + 104*a33*m1 *m2 *n1 *n2  *n3  - 1232*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   15             3   7   7   13   2
       - 40*a33*m1 *m2 *n1 *n2   + 584*a33*m1 *m2 *n1 *n2  *n3

                  3   7   7   11   4             3   7   7   9   6
       - 64*a33*m1 *m2 *n1 *n2  *n3  - 832*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   17           3   7   5   15   2
       - 44*a33*m1 *m2 *n1 *n2   + 8*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   13   4            3   7   5   11   6
       + 720*a33*m1 *m2 *n1 *n2  *n3  + 64*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   19             3   7   3   17   2
       + 8*a33*m1 *m2 *n1 *n2   - 120*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   15   4             3   7   3   13   6
       + 64*a33*m1 *m2 *n1 *n2  *n3  + 384*a33*m1 *m2 *n1 *n2  *n3

                 3   7      19   2            3   7      17   4
       + 8*a33*m1 *m2 *n1*n2  *n3  - 48*a33*m1 *m2 *n1*n2  *n3

                  3   7      15   6            2   8   16   6
       - 64*a33*m1 *m2 *n1*n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                   2   8   14   6   2            2   8   12   10
       + 150*a33*m1 *m2 *n1  *n2 *n3  - 68*a33*m1 *m2 *n1  *n2

                  2   8   12   8   2             2   8   12   6   4
       + 78*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                  2   8   10   12             2   8   10   10   2
       - 16*a33*m1 *m2 *n1  *n2   - 330*a33*m1 *m2 *n1  *n2  *n3

                   2   8   10   8   4             2   8   10   6   6
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                  2   8   8   14             2   8   8   12   2
       + 60*a33*m1 *m2 *n1 *n2   - 162*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   10   4            2   8   8   8   6
       - 528*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                  2   8   6   16             2   8   6   14   2
       + 16*a33*m1 *m2 *n1 *n2   + 204*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   12   4             2   8   6   10   6
       - 296*a33*m1 *m2 *n1 *n2  *n3  - 344*a33*m1 *m2 *n1 *n2  *n3

                  2   8   4   18            2   8   4   16   2
       - 12*a33*m1 *m2 *n1 *n2   + 84*a33*m1 *m2 *n1 *n2  *n3

                   2   8   4   14   4            2   8   4   12   6
       + 200*a33*m1 *m2 *n1 *n2  *n3  - 88*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   18   2            2   8   2   16   4
       - 24*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

                   2   8   2   14   6           2   8   18   4
       + 120*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                 2   8   16   6               9   15   7
       - 8*a33*m1 *m2 *n2  *n3  + 10*a33*m1*m2 *n1  *n2

                     9   13   9               9   13   7   2
       + 12*a33*m1*m2 *n1  *n2  + 60*a33*m1*m2 *n1  *n2 *n3

                     9   11   11               9   11   9   2
       - 16*a33*m1*m2 *n1  *n2   + 76*a33*m1*m2 *n1  *n2 *n3

                      9   11   7   4               9   9   13
       + 112*a33*m1*m2 *n1  *n2 *n3  - 20*a33*m1*m2 *n1 *n2

                     9   9   11   2                9   9   9   4
       - 68*a33*m1*m2 *n1 *n2  *n3  + 128*a33*m1*m2 *n1 *n2 *n3

                     9   9   7   6              9   7   15
       + 64*a33*m1*m2 *n1 *n2 *n3  + 6*a33*m1*m2 *n1 *n2

                      9   7   13   2                9   7   11   4
       - 100*a33*m1*m2 *n1 *n2  *n3  - 112*a33*m1*m2 *n1 *n2  *n3

                     9   7   9   6              9   5   17
       + 48*a33*m1*m2 *n1 *n2 *n3  + 8*a33*m1*m2 *n1 *n2

                    9   5   15   2                9   5   13   4
       + 8*a33*m1*m2 *n1 *n2  *n3  - 144*a33*m1*m2 *n1 *n2  *n3

                     9   5   11   6               9   3   17   2
       - 80*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                     9   3   13   6               9      17   4
       - 48*a33*m1*m2 *n1 *n2  *n3  + 16*a33*m1*m2 *n1*n2  *n3

                     9      15   6           10   14   8           10   12   10
       + 16*a33*m1*m2 *n1*n2  *n3  + 2*a33*m2  *n1  *n2  + 4*a33*m2  *n1  *n2

                  10   12   8   2            10   10   10   2
       + 10*a33*m2  *n1  *n2 *n3  + 18*a33*m2  *n1  *n2  *n3

                  10   10   8   4           10   8   14
       + 16*a33*m2  *n1  *n2 *n3  - 4*a33*m2  *n1 *n2

                 10   8   12   2            10   8   10   4
       - 2*a33*m2  *n1 *n2  *n3  + 24*a33*m2  *n1 *n2  *n3

                 10   8   8   6           10   6   16            10   6   14   2
       + 8*a33*m2  *n1 *n2 *n3  - 2*a33*m2  *n1 *n2   - 18*a33*m2  *n1 *n2  *n3

                 10   6   12   4           10   6   10   6
       - 8*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 10   4   16   2            10   4   14   4
       - 8*a33*m2  *n1 *n2  *n3  - 24*a33*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                 10   2   14   6         2                11   12   7   2
       - 8*a33*m2  *n1 *n2  *n3 ) + u1*v1 *v2*( - 4*a33*m1  *n1  *n2 *n3

                  11   12   5   4            11   12   3   6
       + 16*a33*m1  *n1  *n2 *n3  - 16*a33*m1  *n1  *n2 *n3

                 11   8   11   2            11   8   9   4
       + 4*a33*m1  *n1 *n2  *n3  - 16*a33*m1  *n1 *n2 *n3

                  11   8   7   6           10      13   8
       + 16*a33*m1  *n1 *n2 *n3  - 4*a33*m1  *m2*n1  *n2

                  10      13   6   2            10      13   4   4
       + 36*a33*m1  *m2*n1  *n2 *n3  - 80*a33*m1  *m2*n1  *n2 *n3

                  10      13   2   6           10      11   10
       + 48*a33*m1  *m2*n1  *n2 *n3  - 4*a33*m1  *m2*n1  *n2

                 10      11   8   2            10      11   6   4
       - 8*a33*m1  *m2*n1  *n2 *n3  + 96*a33*m1  *m2*n1  *n2 *n3

                   10      11   4   6           10      9   12
       - 128*a33*m1  *m2*n1  *n2 *n3  + 4*a33*m1  *m2*n1 *n2

                  10      9   10   2            10      9   8   4
       - 36*a33*m1  *m2*n1 *n2  *n3  + 80*a33*m1  *m2*n1 *n2 *n3

                  10      9   6   6           10      7   14
       - 48*a33*m1  *m2*n1 *n2 *n3  + 4*a33*m1  *m2*n1 *n2

                 10      7   12   2            10      7   10   4
       + 8*a33*m1  *m2*n1 *n2  *n3  - 96*a33*m1  *m2*n1 *n2  *n3

                   10      7   8   6            9   2   14   7
       + 128*a33*m1  *m2*n1 *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   9   2   14   5   2             9   2   14   3   4
       - 104*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1  *n2 *n3

                  9   2   14      6             9   2   12   7   2
       - 48*a33*m1 *m2 *n1  *n2*n3  + 152*a33*m1 *m2 *n1  *n2 *n3

                   9   2   12   5   4             9   2   12   3   6
       - 512*a33*m1 *m2 *n1  *n2 *n3  + 384*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   11             9   2   10   9   2
       - 40*a33*m1 *m2 *n1  *n2   + 140*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   7   4             9   2   10   5   6
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 400*a33*m1 *m2 *n1  *n2 *n3

                   9   2   8   11   2             9   2   8   9   4
       - 152*a33*m1 *m2 *n1 *n2  *n3  + 512*a33*m1 *m2 *n1 *n2 *n3

                   9   2   8   7   6            9   2   6   15
       - 384*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  9   2   6   13   2             9   2   6   11   4
       - 36*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   9   2   6   9   6            8   3   15   6
       + 448*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1  *n2

                   8   3   15   4   2             8   3   15   2   4
       + 136*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  8   3   15   6            8   3   13   8
       + 16*a33*m1 *m2 *n1  *n3  + 60*a33*m1 *m2 *n1  *n2

                   8   3   13   6   2             8   3   13   4   4
       - 528*a33*m1 *m2 *n1  *n2 *n3  + 960*a33*m1 *m2 *n1  *n2 *n3

                   8   3   13   2   6             8   3   11   10
       - 384*a33*m1 *m2 *n1  *n2 *n3  + 100*a33*m1 *m2 *n1  *n2

                  8   3   11   8   2              8   3   11   6   4
       + 20*a33*m1 *m2 *n1  *n2 *n3  - 1232*a33*m1 *m2 *n1  *n2 *n3

                    8   3   11   4   6             8   3   9   12
       + 1328*a33*m1 *m2 *n1  *n2 *n3  - 100*a33*m1 *m2 *n1 *n2

                   8   3   9   10   2             8   3   9   8   4
       + 688*a33*m1 *m2 *n1 *n2  *n3  - 736*a33*m1 *m2 *n1 *n2 *n3

                   8   3   9   6   6            8   3   7   14
       - 512*a33*m1 *m2 *n1 *n2 *n3  - 60*a33*m1 *m2 *n1 *n2

                   8   3   7   12   2              8   3   7   10   4
       - 156*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2  *n3

                    8   3   7   8   6            8   3   5   16
       - 1344*a33*m1 *m2 *n1 *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                   8   3   5   14   2             8   3   5   12   4
       - 160*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   8   3   5   10   6            7   4   16   5
       + 896*a33*m1 *m2 *n1 *n2  *n3  + 40*a33*m1 *m2 *n1  *n2

                  7   4   16   3   2            7   4   16      4
       - 84*a33*m1 *m2 *n1  *n2 *n3  + 32*a33*m1 *m2 *n1  *n2*n3

                   7   4   14   7             7   4   14   5   2
       - 160*a33*m1 *m2 *n1  *n2  + 752*a33*m1 *m2 *n1  *n2 *n3

                   7   4   14   3   4             7   4   14      6
       - 768*a33*m1 *m2 *n1  *n2 *n3  + 128*a33*m1 *m2 *n1  *n2*n3

                  7   4   12   9             7   4   12   7   2
       - 40*a33*m1 *m2 *n1  *n2  - 900*a33*m1 *m2 *n1  *n2 *n3

                    7   4   12   5   4              7   4   12   3   6
       + 2656*a33*m1 *m2 *n1  *n2 *n3  - 1344*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   11             7   4   10   9   2
       + 320*a33*m1 *m2 *n1  *n2   - 992*a33*m1 *m2 *n1  *n2 *n3

                    7   4   10   7   4              7   4   10   5   6
       - 1024*a33*m1 *m2 *n1  *n2 *n3  + 2560*a33*m1 *m2 *n1  *n2 *n3

                  7   4   8   13              7   4   8   11   2
       - 40*a33*m1 *m2 *n1 *n2   + 1244*a33*m1 *m2 *n1 *n2  *n3

                    7   4   8   9   4             7   4   8   7   6
       - 2688*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   7   4   6   15             7   4   6   13   2
       - 160*a33*m1 *m2 *n1 *n2   + 240*a33*m1 *m2 *n1 *n2  *n3

                    7   4   6   11   4              7   4   6   9   6
       + 1792*a33*m1 *m2 *n1 *n2  *n3  - 2688*a33*m1 *m2 *n1 *n2 *n3

                  7   4   4   17             7   4   4   15   2
       + 40*a33*m1 *m2 *n1 *n2   - 260*a33*m1 *m2 *n1 *n2  *n3

                    7   4   4   11   6            6   5   17   4
       + 1120*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2

                  6   5   17   2   2             6   5   15   6
       + 20*a33*m1 *m2 *n1  *n2 *n3  + 180*a33*m1 *m2 *n1  *n2

                   6   5   15   4   2             6   5   15   2   4
       - 488*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                   6   5   13   8              6   5   13   6   2
       - 180*a33*m1 *m2 *n1  *n2  + 1636*a33*m1 *m2 *n1  *n2 *n3

                    6   5   13   4   4             6   5   13   2   6
       - 2240*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   6   5   11   10             6   5   11   8   2
       - 380*a33*m1 *m2 *n1  *n2   - 152*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   6   4              6   5   11   4   6
       + 3808*a33*m1 *m2 *n1  *n2 *n3  - 2688*a33*m1 *m2 *n1  *n2 *n3

                   6   5   9   12              6   5   9   10   2
       + 380*a33*m1 *m2 *n1 *n2   - 2396*a33*m1 *m2 *n1 *n2  *n3

                    6   5   9   8   4              6   5   9   6   6
       + 1120*a33*m1 *m2 *n1 *n2 *n3  + 2912*a33*m1 *m2 *n1 *n2 *n3

                   6   5   7   14             6   5   7   12   2
       + 180*a33*m1 *m2 *n1 *n2   + 856*a33*m1 *m2 *n1 *n2  *n3

                    6   5   7   10   4              6   5   7   8   6
       - 4256*a33*m1 *m2 *n1 *n2  *n3  + 1792*a33*m1 *m2 *n1 *n2 *n3

                   6   5   5   16             6   5   5   14   2
       - 180*a33*m1 *m2 *n1 *n2   + 740*a33*m1 *m2 *n1 *n2  *n3

                    6   5   5   12   4              6   5   5   10   6
       + 1120*a33*m1 *m2 *n1 *n2  *n3  - 3360*a33*m1 *m2 *n1 *n2  *n3

                  6   5   3   18             6   5   3   16   2
       + 20*a33*m1 *m2 *n1 *n2   - 216*a33*m1 *m2 *n1 *n2  *n3

                   6   5   3   14   4             6   5   3   12   6
       + 224*a33*m1 *m2 *n1 *n2  *n3  + 896*a33*m1 *m2 *n1 *n2  *n3

                 5   6   18   3            5   6   16   5
       + 4*a33*m1 *m2 *n1  *n2  - 96*a33*m1 *m2 *n1  *n2

                   5   6   16   3   2             5   6   14   7
       + 120*a33*m1 *m2 *n1  *n2 *n3  + 296*a33*m1 *m2 *n1  *n2

                    5   6   14   5   2             5   6   14   3   4
       - 1164*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                  5   6   12   9              5   6   12   7   2
       + 96*a33*m1 *m2 *n1  *n2  + 1640*a33*m1 *m2 *n1  *n2 *n3

                    5   6   12   5   4             5   6   12   3   6
       - 3584*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                   5   6   10   11              5   6   10   9   2
       - 600*a33*m1 *m2 *n1  *n2   + 1524*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   7   4              5   6   10   5   6
       + 2688*a33*m1 *m2 *n1  *n2 *n3  - 3360*a33*m1 *m2 *n1  *n2 *n3

                  5   6   8   13              5   6   8   11   2
       + 96*a33*m1 *m2 *n1 *n2   - 2504*a33*m1 *m2 *n1 *n2  *n3

                    5   6   8   9   4              5   6   8   7   6
       + 3584*a33*m1 *m2 *n1 *n2 *n3  + 1792*a33*m1 *m2 *n1 *n2 *n3

                   5   6   6   15             5   6   6   13   2
       + 296*a33*m1 *m2 *n1 *n2   - 268*a33*m1 *m2 *n1 *n2  *n3

                    5   6   6   11   4              5   6   6   9   6
       - 3584*a33*m1 *m2 *n1 *n2  *n3  + 2912*a33*m1 *m2 *n1 *n2 *n3

                  5   6   4   17             5   6   4   15   2
       - 96*a33*m1 *m2 *n1 *n2   + 744*a33*m1 *m2 *n1 *n2  *n3

                    5   6   4   11   6           5   6   2   19
       - 2688*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1 *n2

                  5   6   2   17   2             5   6   2   15   4
       - 92*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   5   6   2   13   6            4   7   17   4
       + 448*a33*m1 *m2 *n1 *n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                   4   7   15   6             4   7   15   4   2
       - 180*a33*m1 *m2 *n1  *n2  + 300*a33*m1 *m2 *n1  *n2 *n3

                   4   7   13   8              4   7   13   6   2
       + 180*a33*m1 *m2 *n1  *n2  - 1440*a33*m1 *m2 *n1  *n2 *n3

                    4   7   13   4   4             4   7   11   10
       + 1120*a33*m1 *m2 *n1  *n2 *n3  + 380*a33*m1 *m2 *n1  *n2

                   4   7   11   8   2              4   7   11   6   4
       + 460*a33*m1 *m2 *n1  *n2 *n3  - 3360*a33*m1 *m2 *n1  *n2 *n3

                    4   7   11   4   6             4   7   9   12
       + 1120*a33*m1 *m2 *n1  *n2 *n3  - 380*a33*m1 *m2 *n1 *n2

                    4   7   9   10   2             4   7   9   8   4
       + 2256*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                    4   7   9   6   6             4   7   7   14
       - 2688*a33*m1 *m2 *n1 *n2 *n3  - 180*a33*m1 *m2 *n1 *n2

                    4   7   7   12   2              4   7   7   10   4
       - 1108*a33*m1 *m2 *n1 *n2  *n3  + 3808*a33*m1 *m2 *n1 *n2  *n3

                   4   7   7   8   6             4   7   5   16
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 180*a33*m1 *m2 *n1 *n2

                   4   7   5   14   2              4   7   5   12   4
       - 800*a33*m1 *m2 *n1 *n2  *n3  - 1440*a33*m1 *m2 *n1 *n2  *n3

                    4   7   5   10   6            4   7   3   18
       + 2560*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1 *n2

                   4   7   3   16   2             4   7   3   14   4
       + 348*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                    4   7   3   12   6            4   7      18   2
       - 1344*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1*n2  *n3

                  4   7      16   4             4   7      14   6
       + 96*a33*m1 *m2 *n1*n2  *n3  + 128*a33*m1 *m2 *n1*n2  *n3

                  3   8   16   5             3   8   14   7
       + 40*a33*m1 *m2 *n1  *n2  - 160*a33*m1 *m2 *n1  *n2

                   3   8   14   5   2            3   8   12   9
       + 400*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2

                   3   8   12   7   2              3   8   12   5   4
       - 940*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   11             3   8   10   9   2
       + 320*a33*m1 *m2 *n1  *n2   - 544*a33*m1 *m2 *n1  *n2 *n3

                    3   8   10   7   4             3   8   10   5   6
       - 1792*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                  3   8   8   13              3   8   8   11   2
       - 40*a33*m1 *m2 *n1 *n2   + 1412*a33*m1 *m2 *n1 *n2  *n3

                    3   8   8   9   4              3   8   8   7   6
       - 1120*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                   3   8   6   15            3   8   6   13   2
       - 160*a33*m1 *m2 *n1 *n2   + 80*a33*m1 *m2 *n1 *n2  *n3

                    3   8   6   11   4             3   8   6   9   6
       + 2048*a33*m1 *m2 *n1 *n2  *n3  - 512*a33*m1 *m2 *n1 *n2 *n3

                  3   8   4   17             3   8   4   15   2
       + 40*a33*m1 *m2 *n1 *n2   - 472*a33*m1 *m2 *n1 *n2  *n3

                  3   8   4   13   4              3   8   4   11   6
       - 16*a33*m1 *m2 *n1 *n2  *n3  + 1328*a33*m1 *m2 *n1 *n2  *n3

                  3   8   2   17   2             3   8   2   15   4
       + 64*a33*m1 *m2 *n1 *n2  *n3  - 256*a33*m1 *m2 *n1 *n2  *n3

                   3   8   2   13   6            3   8   17   4
       - 384*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n2  *n3

                  3   8   15   6            2   9   15   6
       + 16*a33*m1 *m2 *n2  *n3  + 40*a33*m1 *m2 *n1  *n2

                  2   9   13   8             2   9   13   6   2
       - 60*a33*m1 *m2 *n1  *n2  + 300*a33*m1 *m2 *n1  *n2 *n3

                   2   9   11   10             2   9   11   8   2
       - 100*a33*m1 *m2 *n1  *n2   - 264*a33*m1 *m2 *n1  *n2 *n3

                   2   9   11   6   4             2   9   9   12
       + 672*a33*m1 *m2 *n1  *n2 *n3  + 100*a33*m1 *m2 *n1 *n2

                   2   9   9   10   2             2   9   9   8   4
       - 548*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2 *n3

                   2   9   9   6   6            2   9   7   14
       + 448*a33*m1 *m2 *n1 *n2 *n3  + 60*a33*m1 *m2 *n1 *n2

                   2   9   7   12   2             2   9   7   10   4
       + 360*a33*m1 *m2 *n1 *n2  *n3  - 864*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   8   6            2   9   5   16
       - 384*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2

                   2   9   5   14   2             2   9   5   12   4
       + 248*a33*m1 *m2 *n1 *n2  *n3  + 496*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   10   6            2   9   3   16   2
       - 400*a33*m1 *m2 *n1 *n2  *n3  - 96*a33*m1 *m2 *n1 *n2  *n3

                   2   9   3   14   4             2   9   3   12   6
       + 192*a33*m1 *m2 *n1 *n2  *n3  + 384*a33*m1 *m2 *n1 *n2  *n3

                  2   9      16   4            2   9      14   6
       - 48*a33*m1 *m2 *n1*n2  *n3  - 48*a33*m1 *m2 *n1*n2  *n3

                     10   14   7                10   12   7   2
       + 20*a33*m1*m2  *n1  *n2  + 120*a33*m1*m2  *n1  *n2 *n3

                     10   10   11               10   10   9   2
       - 40*a33*m1*m2  *n1  *n2   + 12*a33*m1*m2  *n1  *n2 *n3

                      10   10   7   4                10   8   11   2
       + 224*a33*m1*m2  *n1  *n2 *n3  - 184*a33*m1*m2  *n1 *n2  *n3

                      10   8   7   6               10   6   15
       + 128*a33*m1*m2  *n1 *n2 *n3  + 20*a33*m1*m2  *n1 *n2

                     10   6   13   2                10   6   11   4
       - 12*a33*m1*m2  *n1 *n2  *n3  - 272*a33*m1*m2  *n1 *n2  *n3

                     10   6   9   6               10   4   15   2
       - 48*a33*m1*m2  *n1 *n2 *n3  + 64*a33*m1*m2  *n1 *n2  *n3

                      10   4   11   6               10   2   15   4
       - 128*a33*m1*m2  *n1 *n2  *n3  + 48*a33*m1*m2  *n1 *n2  *n3

                     10   2   13   6           11   13   8
       + 48*a33*m1*m2  *n1 *n2  *n3  + 4*a33*m2  *n1  *n2

                 11   11   10            11   11   8   2           11   9   12
       + 4*a33*m2  *n1  *n2   + 20*a33*m2  *n1  *n2 *n3  - 4*a33*m2  *n1 *n2

                  11   9   10   2            11   9   8   4
       + 16*a33*m2  *n1 *n2  *n3  + 32*a33*m2  *n1 *n2 *n3

                 11   7   14            11   7   12   2
       - 4*a33*m2  *n1 *n2   - 20*a33*m2  *n1 *n2  *n3

                  11   7   10   4            11   7   8   6
       + 16*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

                  11   5   14   2            11   5   12   4
       - 16*a33*m2  *n1 *n2  *n3  - 32*a33*m2  *n1 *n2  *n3

                  11   3   14   4            11   3   12   6         2
       - 16*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2  *n3 ) + u1*v1 *(

           10   15   6   2       10   15   4   4       10   15   2   6
       - m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

           10   13   8   2       10   13   6   4       10   13   4   6
       - m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

           10   11   10   2       10   11   8   4       10   11   6   6
       + m1  *n1  *n2  *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

           10   9   12   2       10   9   10   4       10   9   8   6
       + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3

           9      16   7       9      16   5   2        9      16   3   4
       - m1 *m2*n1  *n2  + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3

             9      16      6       9      14   9       9      14   7   2
       + 8*m1 *m2*n1  *n2*n3  - 2*m1 *m2*n1  *n2  + 6*m1 *m2*n1  *n2 *n3

             9      14   5   4        9      14   3   6        9      12   9   2
       + 8*m1 *m2*n1  *n2 *n3  - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2 *n3

              9      12   7   4        9      12   5   6       9      10   13
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1  *n2

             9      10   11   2       9      10   9   4        9      10   7   6
       - 6*m1 *m2*n1  *n2  *n3  - 8*m1 *m2*n1  *n2 *n3  + 24*m1 *m2*n1  *n2 *n3

           9      8   15       9      8   13   2        9      8   11   4
       + m1 *m2*n1 *n2   + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      8   9   6       8   2   17   6        8   2   17   4   2
       + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2  - 18*m1 *m2 *n1  *n2 *n3

              8   2   17   2   4       8   2   17   6       8   2   15   8
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  + 3*m1 *m2 *n1  *n2

              8   2   15   6   2        8   2   15   4   4
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   15   2   6        8   2   13   10
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2

              8   2   13   8   2        8   2   13   6   4
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   13   4   6       8   2   11   12       8   2   11   10   2
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2   - 9*m1 *m2 *n1  *n2  *n3

               8   2   11   8   4         8   2   11   6   6
       + 140*m1 *m2 *n1  *n2 *n3  - 172*m1 *m2 *n1  *n2 *n3

             8   2   9   14        8   2   9   12   2        8   2   9   10   4
       + 6*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   9   8   6       8   2   7   16       8   2   7   14   2
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2   - 9*m1 *m2 *n1 *n2  *n3

              8   2   7   12   4         8   2   7   10   6       7   3   18   5
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1  *n2

              7   3   18   3   2       7   3   18      4       7   3   16   7
       + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3  + 8*m1 *m2 *n1  *n2

              7   3   16   5   2         7   3   16   3   4
       - 80*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   3   16      6        7   3   14   9        7   3   14   7   2
       - 32*m1 *m2 *n1  *n2*n3  + 30*m1 *m2 *n1  *n2  - 64*m1 *m2 *n1  *n2 *n3

               7   3   14   5   4         7   3   14   3   6
       - 136*m1 *m2 *n1  *n2 *n3  + 192*m1 *m2 *n1  *n2 *n3

             7   3   12   11         7   3   12   9   2
       - 8*m1 *m2 *n1  *n2   + 168*m1 *m2 *n1  *n2 *n3

               7   3   12   7   4        7   3   12   5   6
       - 352*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

              7   3   10   13        7   3   10   11   2
       - 34*m1 *m2 *n1  *n2   + 88*m1 *m2 *n1  *n2  *n3

               7   3   10   9   4         7   3   10   7   6
       + 200*m1 *m2 *n1  *n2 *n3  - 416*m1 *m2 *n1  *n2 *n3

              7   3   8   13   2         7   3   8   11   4
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   6   17        7   3   6   15   2        7   3   6   13   4
       + 10*m1 *m2 *n1 *n2   - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               7   3   6   11   6       6   4   19   4       6   4   19   2   2
       + 224*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 5*m1 *m2 *n1  *n2 *n3

              6   4   17   6        6   4   17   4   2        6   4   17   2   4
       - 22*m1 *m2 *n1  *n2  + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   15   8         6   4   15   6   2
       - 20*m1 *m2 *n1  *n2  - 101*m1 *m2 *n1  *n2 *n3

               6   4   15   4   4         6   4   15   2   6
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   13   10         6   4   13   8   2
       + 62*m1 *m2 *n1  *n2   - 305*m1 *m2 *n1  *n2 *n3

              6   4   13   6   4         6   4   13   4   6
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   11   12         6   4   11   10   2
       + 36*m1 *m2 *n1  *n2   + 151*m1 *m2 *n1  *n2  *n3

               6   4   11   8   4         6   4   11   6   6
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   9   14         6   4   9   12   2
       - 50*m1 *m2 *n1 *n2   + 283*m1 *m2 *n1 *n2  *n3

               6   4   9   8   6        6   4   7   16        6   4   7   14   2
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3

               6   4   7   12   4         6   4   7   10   6
       + 392*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

              6   4   5   18        6   4   5   16   2
       + 10*m1 *m2 *n1 *n2   - 65*m1 *m2 *n1 *n2  *n3

               6   4   5   12   6     5   5   20   3        5   5   18   5
       + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2

              5   5   18   3   2        5   5   16   7
       - 30*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2

               5   5   16   5   2         5   5   16   3   4
       + 186*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              5   5   14   9        5   5   14   7   2
       - 78*m1 *m2 *n1  *n2  + 66*m1 *m2 *n1  *n2 *n3

               5   5   14   5   4         5   5   14   3   6
       + 448*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              5   5   12   11         5   5   12   9   2
       + 36*m1 *m2 *n1  *n2   - 486*m1 *m2 *n1  *n2 *n3

               5   5   12   7   4         5   5   12   5   6
       + 504*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              5   5   10   13         5   5   10   11   2
       + 90*m1 *m2 *n1  *n2   - 102*m1 *m2 *n1  *n2  *n3

               5   5   10   9   4         5   5   10   7   6
       - 784*m1 *m2 *n1  *n2 *n3  + 560*m1 *m2 *n1  *n2 *n3

              5   5   8   15         5   5   8   13   2
       - 20*m1 *m2 *n1 *n2   + 354*m1 *m2 *n1 *n2  *n3

               5   5   8   11   4         5   5   8   9   6
       - 392*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2 *n3

              5   5   6   17        5   5   6   15   2
       - 30*m1 *m2 *n1 *n2   + 66*m1 *m2 *n1 *n2  *n3

               5   5   6   13   4         5   5   6   11   6
       + 336*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3

             5   5   4   19        5   5   4   17   2        5   5   4   15   4
       + 5*m1 *m2 *n1 *n2   - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   4   13   6       4   6   19   4        4   6   17   6
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2

              4   6   17   4   2        4   6   15   8
       - 75*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2

               4   6   15   6   2         4   6   15   4   4
       + 185*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   13   10         4   6   13   8   2
       - 90*m1 *m2 *n1  *n2   + 305*m1 *m2 *n1  *n2 *n3

               4   6   13   6   4         4   6   13   4   6
       + 280*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   11   12         4   6   11   10   2
       - 36*m1 *m2 *n1  *n2   - 347*m1 *m2 *n1  *n2  *n3

               4   6   11   8   4         4   6   11   6   6
       + 784*m1 *m2 *n1  *n2 *n3  + 168*m1 *m2 *n1  *n2 *n3

              4   6   9   14         4   6   9   12   2
       + 78*m1 *m2 *n1 *n2   - 339*m1 *m2 *n1 *n2  *n3

               4   6   9   10   4         4   6   9   8   6
       - 392*m1 *m2 *n1 *n2  *n3  + 616*m1 *m2 *n1 *n2 *n3

              4   6   7   16         4   6   7   14   2
       + 20*m1 *m2 *n1 *n2   + 185*m1 *m2 *n1 *n2  *n3

               4   6   7   12   4         4   6   7   10   6
       - 560*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              4   6   5   18         4   6   5   16   2
       - 18*m1 *m2 *n1 *n2   + 109*m1 *m2 *n1 *n2  *n3

               4   6   5   14   4         4   6   5   12   6     4   6   3   20
       + 112*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2

              4   6   3   18   2        4   6   3   16   4
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   3   14   6        3   7   18   5        3   7   16   7
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 20*m1 *m2 *n1  *n2

               3   7   16   5   2        3   7   14   9
       - 100*m1 *m2 *n1  *n2 *n3  + 50*m1 *m2 *n1  *n2

              3   7   14   7   2         3   7   14   5   4
       + 60*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              3   7   12   11         3   7   12   9   2
       - 36*m1 *m2 *n1  *n2   + 332*m1 *m2 *n1  *n2 *n3

               3   7   12   5   6        3   7   10   13
       - 224*m1 *m2 *n1  *n2 *n3  - 62*m1 *m2 *n1  *n2

              3   7   10   11   2         3   7   10   9   4
       - 52*m1 *m2 *n1  *n2  *n3  + 616*m1 *m2 *n1  *n2 *n3

              3   7   8   15         3   7   8   13   2
       + 20*m1 *m2 *n1 *n2   - 292*m1 *m2 *n1 *n2  *n3

              3   7   8   11   4         3   7   8   9   6        3   7   6   17
       + 32*m1 *m2 *n1 *n2  *n3  + 416*m1 *m2 *n1 *n2 *n3  + 22*m1 *m2 *n1 *n2

             3   7   6   15   2         3   7   6   13   4
       - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   6   11   6       3   7   4   19        3   7   4   17   2
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2   + 60*m1 *m2 *n1 *n2  *n3

              3   7   4   15   4         3   7   4   13   6
       - 32*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2  *n3

             3   7   2   19   2        3   7   2   17   4
       - 4*m1 *m2 *n1 *n2  *n3  + 24*m1 *m2 *n1 *n2  *n3

              3   7   2   15   6        2   8   17   6        2   8   15   6   2
       + 32*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3

              2   8   13   10        2   8   13   8   2
       + 34*m1 *m2 *n1  *n2   - 39*m1 *m2 *n1  *n2 *n3

               2   8   13   6   4       2   8   11   12
       - 168*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2

               2   8   11   10   2         2   8   11   8   4
       + 165*m1 *m2 *n1  *n2  *n3  - 112*m1 *m2 *n1  *n2 *n3

               2   8   11   6   6        2   8   9   14
       - 112*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1 *n2

              2   8   9   12   2         2   8   9   10   4
       + 81*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2  *n3

              2   8   9   8   6       2   8   7   16         2   8   7   14   2
       - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2   - 102*m1 *m2 *n1 *n2  *n3

               2   8   7   12   4         2   8   7   10   6
       + 148*m1 *m2 *n1 *n2  *n3  + 172*m1 *m2 *n1 *n2  *n3

             2   8   5   18        2   8   5   16   2         2   8   5   14   4
       + 6*m1 *m2 *n1 *n2   - 42*m1 *m2 *n1 *n2  *n3  - 100*m1 *m2 *n1 *n2  *n3

              2   8   5   12   6        2   8   3   18   2
       + 44*m1 *m2 *n1 *n2  *n3  + 12*m1 *m2 *n1 *n2  *n3

              2   8   3   16   4        2   8   3   14   6
       - 36*m1 *m2 *n1 *n2  *n3  - 60*m1 *m2 *n1 *n2  *n3

             2   8      18   4       2   8      16   6          9   16   7
       + 4*m1 *m2 *n1*n2  *n3  + 4*m1 *m2 *n1*n2  *n3  - 5*m1*m2 *n1  *n2

                9   14   9           9   14   7   2          9   12   11
       - 6*m1*m2 *n1  *n2  - 30*m1*m2 *n1  *n2 *n3  + 8*m1*m2 *n1  *n2

                 9   12   9   2           9   12   7   4           9   10   13
       - 38*m1*m2 *n1  *n2 *n3  - 56*m1*m2 *n1  *n2 *n3  + 10*m1*m2 *n1  *n2

                 9   10   11   2           9   10   9   4
       + 34*m1*m2 *n1  *n2  *n3  - 64*m1*m2 *n1  *n2 *n3

                 9   10   7   6          9   8   15           9   8   13   2
       - 32*m1*m2 *n1  *n2 *n3  - 3*m1*m2 *n1 *n2   + 50*m1*m2 *n1 *n2  *n3

                 9   8   11   4           9   8   9   6          9   6   17
       + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2

                9   6   15   2           9   6   13   4           9   6   11   6
       - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3  + 40*m1*m2 *n1 *n2  *n3

                 9   4   17   2           9   4   13   6          9   2   17   4
       - 12*m1*m2 *n1 *n2  *n3  + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1 *n2  *n3

                9   2   15   6     10   15   8       10   13   10
       - 8*m1*m2 *n1 *n2  *n3  - m2  *n1  *n2  - 2*m2  *n1  *n2

             10   13   8   2       10   11   10   2       10   11   8   4
       - 5*m2  *n1  *n2 *n3  - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3

             10   9   14     10   9   12   2        10   9   10   4
       + 2*m2  *n1 *n2   + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3

             10   9   8   6     10   7   16       10   7   14   2
       - 4*m2  *n1 *n2 *n3  + m2  *n1 *n2   + 9*m2  *n1 *n2  *n3

             10   7   12   4       10   7   10   6       10   5   16   2
       + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

              10   5   14   4       10   5   12   6       10   3   16   4
       + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   3   14   6                10   14   7   2
       + 4*m2  *n1 *n2  *n3 ) + u1*v1*v2*(m1  *n1  *n2 *n3

             10   14   5   4       10   14   3   6     10   12   9   2
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  + m1  *n1  *n2 *n3

             10   12   7   4       10   12   5   6     10   10   11   2
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - m1  *n1  *n2  *n3

             10   10   9   4       10   10   7   6     10   8   13   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1 *n2  *n3

             10   8   11   4       10   8   9   6     9      15   8
       + 4*m1  *n1 *n2  *n3  - 4*m1  *n1 *n2 *n3  + m1 *m2*n1  *n2

             9      15   6   2        9      15   4   4       9      15   2   6
       - 8*m1 *m2*n1  *n2 *n3  + 16*m1 *m2*n1  *n2 *n3  - 8*m1 *m2*n1  *n2 *n3

             9      13   10       9      13   8   2       9      13   6   4
       + 2*m1 *m2*n1  *n2   - 6*m1 *m2*n1  *n2 *n3  - 8*m1 *m2*n1  *n2 *n3

              9      13   4   6        9      11   10   2
       + 24*m1 *m2*n1  *n2 *n3  + 10*m1 *m2*n1  *n2  *n3

              9      11   8   4        9      11   6   6       9      9   14
       - 40*m1 *m2*n1  *n2 *n3  + 40*m1 *m2*n1  *n2 *n3  - 2*m1 *m2*n1 *n2

             9      9   12   2       9      9   10   4        9      9   8   6
       + 6*m1 *m2*n1 *n2  *n3  + 8*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2 *n3

           9      7   16       9      7   14   2        9      7   12   4
       - m1 *m2*n1 *n2   - 2*m1 *m2*n1 *n2  *n3  + 24*m1 *m2*n1 *n2  *n3

              9      7   10   6       8   2   16   7        8   2   16   5   2
       - 32*m1 *m2*n1 *n2  *n3  - 4*m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2 *n3

              8   2   16   3   4       8   2   16      6       8   2   14   9
       - 20*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n2*n3  - 3*m1 *m2 *n1  *n2

              8   2   14   7   2        8   2   14   5   4
       - 18*m1 *m2 *n1  *n2 *n3  + 84*m1 *m2 *n1  *n2 *n3

              8   2   14   3   6        8   2   12   11
       - 60*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1  *n2

              8   2   12   9   2        8   2   12   7   4
       - 63*m1 *m2 *n1  *n2 *n3  + 68*m1 *m2 *n1  *n2 *n3

              8   2   12   5   6       8   2   10   13       8   2   10   11   2
       + 44*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2   + 9*m1 *m2 *n1  *n2  *n3

               8   2   10   9   4         8   2   10   7   6
       - 140*m1 *m2 *n1  *n2 *n3  + 172*m1 *m2 *n1  *n2 *n3

             8   2   8   15        8   2   8   13   2        8   2   8   11   4
       - 6*m1 *m2 *n1 *n2   + 45*m1 *m2 *n1 *n2  *n3  - 48*m1 *m2 *n1 *n2  *n3

              8   2   8   9   6       8   2   6   17       8   2   6   15   2
       - 48*m1 *m2 *n1 *n2 *n3  - 5*m1 *m2 *n1 *n2   + 9*m1 *m2 *n1 *n2  *n3

              8   2   6   13   4         8   2   6   11   6       7   3   17   6
       + 56*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1  *n2

              7   3   17   4   2       7   3   17   2   4       7   3   15   8
       - 16*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2

              7   3   15   6   2         7   3   15   4   4
       + 80*m1 *m2 *n1  *n2 *n3  - 128*m1 *m2 *n1  *n2 *n3

              7   3   15   2   6        7   3   13   10
       + 32*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1  *n2

              7   3   13   8   2         7   3   13   6   4
       + 64*m1 *m2 *n1  *n2 *n3  + 136*m1 *m2 *n1  *n2 *n3

               7   3   13   4   6       7   3   11   12
       - 192*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2

               7   3   11   10   2         7   3   11   8   4
       - 168*m1 *m2 *n1  *n2  *n3  + 352*m1 *m2 *n1  *n2 *n3

              7   3   11   6   6        7   3   9   14        7   3   9   12   2
       - 32*m1 *m2 *n1  *n2 *n3  + 34*m1 *m2 *n1 *n2   - 88*m1 *m2 *n1 *n2  *n3

               7   3   9   10   4         7   3   9   8   6
       - 200*m1 *m2 *n1 *n2  *n3  + 416*m1 *m2 *n1 *n2 *n3

              7   3   7   14   2         7   3   7   12   4
       + 88*m1 *m2 *n1 *n2  *n3  - 224*m1 *m2 *n1 *n2  *n3

              7   3   5   18        7   3   5   16   2        7   3   5   14   4
       - 10*m1 *m2 *n1 *n2   + 40*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               7   3   5   12   6       6   4   18   5       6   4   18   3   2
       - 224*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1  *n2  + 5*m1 *m2 *n1  *n2 *n3

              6   4   16   7        6   4   16   5   2        6   4   16   3   4
       + 22*m1 *m2 *n1  *n2  - 87*m1 *m2 *n1  *n2 *n3  + 56*m1 *m2 *n1  *n2 *n3

              6   4   14   9         6   4   14   7   2
       + 20*m1 *m2 *n1  *n2  + 101*m1 *m2 *n1  *n2 *n3

               6   4   14   5   4         6   4   14   3   6
       - 336*m1 *m2 *n1  *n2 *n3  + 112*m1 *m2 *n1  *n2 *n3

              6   4   12   11         6   4   12   9   2
       - 62*m1 *m2 *n1  *n2   + 305*m1 *m2 *n1  *n2 *n3

              6   4   12   7   4         6   4   12   5   6
       - 56*m1 *m2 *n1  *n2 *n3  - 336*m1 *m2 *n1  *n2 *n3

              6   4   10   13         6   4   10   11   2
       - 36*m1 *m2 *n1  *n2   - 151*m1 *m2 *n1  *n2  *n3

               6   4   10   9   4         6   4   10   7   6
       + 728*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              6   4   8   15         6   4   8   13   2
       + 50*m1 *m2 *n1 *n2   - 283*m1 *m2 *n1 *n2  *n3

               6   4   8   9   6        6   4   6   17        6   4   6   15   2
       + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2   + 45*m1 *m2 *n1 *n2  *n3

               6   4   6   13   4         6   4   6   11   6
       - 392*m1 *m2 *n1 *n2  *n3  + 168*m1 *m2 *n1 *n2  *n3

              6   4   4   19        6   4   4   17   2
       - 10*m1 *m2 *n1 *n2   + 65*m1 *m2 *n1 *n2  *n3

               6   4   4   13   6     5   5   19   4        5   5   17   6
       - 280*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1  *n2  - 18*m1 *m2 *n1  *n2

              5   5   17   4   2        5   5   15   8
       + 30*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2

               5   5   15   6   2         5   5   15   4   4
       - 186*m1 *m2 *n1  *n2 *n3  + 168*m1 *m2 *n1  *n2 *n3

              5   5   13   10        5   5   13   8   2
       + 78*m1 *m2 *n1  *n2   - 66*m1 *m2 *n1  *n2 *n3

               5   5   13   6   4         5   5   13   4   6
       - 448*m1 *m2 *n1  *n2 *n3  + 224*m1 *m2 *n1  *n2 *n3

              5   5   11   12         5   5   11   10   2
       - 36*m1 *m2 *n1  *n2   + 486*m1 *m2 *n1  *n2  *n3

               5   5   11   8   4         5   5   11   6   6
       - 504*m1 *m2 *n1  *n2 *n3  - 336*m1 *m2 *n1  *n2 *n3

              5   5   9   14         5   5   9   12   2
       - 90*m1 *m2 *n1 *n2   + 102*m1 *m2 *n1 *n2  *n3

               5   5   9   10   4         5   5   9   8   6
       + 784*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2 *n3

              5   5   7   16         5   5   7   14   2
       + 20*m1 *m2 *n1 *n2   - 354*m1 *m2 *n1 *n2  *n3

               5   5   7   12   4         5   5   7   10   6
       + 392*m1 *m2 *n1 *n2  *n3  + 560*m1 *m2 *n1 *n2  *n3

              5   5   5   18        5   5   5   16   2
       + 30*m1 *m2 *n1 *n2   - 66*m1 *m2 *n1 *n2  *n3

               5   5   5   14   4         5   5   5   12   6
       - 336*m1 *m2 *n1 *n2  *n3  + 336*m1 *m2 *n1 *n2  *n3

             5   5   3   20        5   5   3   18   2        5   5   3   16   4
       - 5*m1 *m2 *n1 *n2   + 54*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               5   5   3   14   6       4   6   18   5        4   6   16   7
       - 224*m1 *m2 *n1 *n2  *n3  + 5*m1 *m2 *n1  *n2  - 30*m1 *m2 *n1  *n2

              4   6   16   5   2        4   6   14   9
       + 75*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2

               4   6   14   7   2         4   6   14   5   4
       - 185*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              4   6   12   11         4   6   12   9   2
       + 90*m1 *m2 *n1  *n2   - 305*m1 *m2 *n1  *n2 *n3

               4   6   12   7   4         4   6   12   5   6
       - 280*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              4   6   10   13         4   6   10   11   2
       + 36*m1 *m2 *n1  *n2   + 347*m1 *m2 *n1  *n2  *n3

               4   6   10   9   4         4   6   10   7   6
       - 784*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              4   6   8   15         4   6   8   13   2
       - 78*m1 *m2 *n1 *n2   + 339*m1 *m2 *n1 *n2  *n3

               4   6   8   11   4         4   6   8   9   6
       + 392*m1 *m2 *n1 *n2  *n3  - 616*m1 *m2 *n1 *n2 *n3

              4   6   6   17         4   6   6   15   2
       - 20*m1 *m2 *n1 *n2   - 185*m1 *m2 *n1 *n2  *n3

               4   6   6   13   4         4   6   6   11   6
       + 560*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3

              4   6   4   19         4   6   4   17   2
       + 18*m1 *m2 *n1 *n2   - 109*m1 *m2 *n1 *n2  *n3

               4   6   4   15   4         4   6   4   13   6     4   6   2   21
       - 112*m1 *m2 *n1 *n2  *n3  + 336*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1 *n2

              4   6   2   19   2        4   6   2   17   4
       + 23*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               4   6   2   15   6        3   7   17   6        3   7   15   8
       - 112*m1 *m2 *n1 *n2  *n3  + 10*m1 *m2 *n1  *n2  - 20*m1 *m2 *n1  *n2

               3   7   15   6   2        3   7   13   10
       + 100*m1 *m2 *n1  *n2 *n3  - 50*m1 *m2 *n1  *n2

              3   7   13   8   2         3   7   13   6   4
       - 60*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              3   7   11   12         3   7   11   10   2
       + 36*m1 *m2 *n1  *n2   - 332*m1 *m2 *n1  *n2  *n3

               3   7   11   6   6        3   7   9   14
       + 224*m1 *m2 *n1  *n2 *n3  + 62*m1 *m2 *n1 *n2

              3   7   9   12   2         3   7   9   10   4
       + 52*m1 *m2 *n1 *n2  *n3  - 616*m1 *m2 *n1 *n2  *n3

              3   7   7   16         3   7   7   14   2
       - 20*m1 *m2 *n1 *n2   + 292*m1 *m2 *n1 *n2  *n3

              3   7   7   12   4         3   7   7   10   6
       - 32*m1 *m2 *n1 *n2  *n3  - 416*m1 *m2 *n1 *n2  *n3

              3   7   5   18       3   7   5   16   2         3   7   5   14   4
       - 22*m1 *m2 *n1 *n2   + 4*m1 *m2 *n1 *n2  *n3  + 360*m1 *m2 *n1 *n2  *n3

              3   7   5   12   6       3   7   3   20        3   7   3   18   2
       + 32*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1 *n2   - 60*m1 *m2 *n1 *n2  *n3

              3   7   3   16   4         3   7   3   14   6
       + 32*m1 *m2 *n1 *n2  *n3  + 192*m1 *m2 *n1 *n2  *n3

             3   7      20   2        3   7      18   4        3   7      16   6
       + 4*m1 *m2 *n1*n2  *n3  - 24*m1 *m2 *n1*n2  *n3  - 32*m1 *m2 *n1*n2  *n3

              2   8   16   7        2   8   14   7   2        2   8   12   11
       + 10*m1 *m2 *n1  *n2  + 75*m1 *m2 *n1  *n2 *n3  - 34*m1 *m2 *n1  *n2

              2   8   12   9   2         2   8   12   7   4
       + 39*m1 *m2 *n1  *n2 *n3  + 168*m1 *m2 *n1  *n2 *n3

             2   8   10   13         2   8   10   11   2
       - 8*m1 *m2 *n1  *n2   - 165*m1 *m2 *n1  *n2  *n3

               2   8   10   9   4         2   8   10   7   6
       + 112*m1 *m2 *n1  *n2 *n3  + 112*m1 *m2 *n1  *n2 *n3

              2   8   8   15        2   8   8   13   2
       + 30*m1 *m2 *n1 *n2   - 81*m1 *m2 *n1 *n2  *n3

               2   8   8   11   4        2   8   8   9   6       2   8   6   17
       - 264*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2 *n3  + 8*m1 *m2 *n1 *n2

               2   8   6   15   2         2   8   6   13   4
       + 102*m1 *m2 *n1 *n2  *n3  - 148*m1 *m2 *n1 *n2  *n3

               2   8   6   11   6       2   8   4   19        2   8   4   17   2
       - 172*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1 *n2   + 42*m1 *m2 *n1 *n2  *n3

               2   8   4   15   4        2   8   4   13   6
       + 100*m1 *m2 *n1 *n2  *n3  - 44*m1 *m2 *n1 *n2  *n3

              2   8   2   19   2        2   8   2   17   4
       - 12*m1 *m2 *n1 *n2  *n3  + 36*m1 *m2 *n1 *n2  *n3

              2   8   2   15   6       2   8   19   4       2   8   17   6
       + 60*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n2  *n3  - 4*m1 *m2 *n2  *n3

                9   15   8          9   13   10           9   13   8   2
       + 5*m1*m2 *n1  *n2  + 6*m1*m2 *n1  *n2   + 30*m1*m2 *n1  *n2 *n3

                9   11   12           9   11   10   2           9   11   8   4
       - 8*m1*m2 *n1  *n2   + 38*m1*m2 *n1  *n2  *n3  + 56*m1*m2 *n1  *n2 *n3

                 9   9   14           9   9   12   2           9   9   10   4
       - 10*m1*m2 *n1 *n2   - 34*m1*m2 *n1 *n2  *n3  + 64*m1*m2 *n1 *n2  *n3

                 9   9   8   6          9   7   16           9   7   14   2
       + 32*m1*m2 *n1 *n2 *n3  + 3*m1*m2 *n1 *n2   - 50*m1*m2 *n1 *n2  *n3

                 9   7   12   4           9   7   10   6          9   5   18
       - 56*m1*m2 *n1 *n2  *n3  + 24*m1*m2 *n1 *n2  *n3  + 4*m1*m2 *n1 *n2

                9   5   16   2           9   5   14   4           9   5   12   6
       + 4*m1*m2 *n1 *n2  *n3  - 72*m1*m2 *n1 *n2  *n3  - 40*m1*m2 *n1 *n2  *n3

                 9   3   18   2           9   3   14   6          9      18   4
       + 12*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2  *n3  + 8*m1*m2 *n1*n2  *n3

                9      16   6     10   14   9       10   12   11
       + 8*m1*m2 *n1*n2  *n3  + m2  *n1  *n2  + 2*m2  *n1  *n2

             10   12   9   2       10   10   11   2       10   10   9   4
       + 5*m2  *n1  *n2 *n3  + 9*m2  *n1  *n2  *n3  + 8*m2  *n1  *n2 *n3

             10   8   15     10   8   13   2        10   8   11   4
       - 2*m2  *n1 *n2   - m2  *n1 *n2  *n3  + 12*m2  *n1 *n2  *n3

             10   8   9   6     10   6   17       10   6   15   2
       + 4*m2  *n1 *n2 *n3  - m2  *n1 *n2   - 9*m2  *n1 *n2  *n3

             10   6   13   4       10   6   11   6       10   4   17   2
       - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3

              10   4   15   4       10   4   13   6       10   2   17   4
       - 12*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3

             10   2   15   6         3             11   12   7   2
       - 4*m2  *n1 *n2  *n3 ) + u1*v2 *( - 2*a33*m1  *n1  *n2 *n3

                 11   12   5   4           11   12   3   6
       + 8*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   8   11   2           11   8   9   4
       + 2*a33*m1  *n1 *n2  *n3  - 8*a33*m1  *n1 *n2 *n3

                 11   8   7   6           10      13   8
       + 8*a33*m1  *n1 *n2 *n3  - 2*a33*m1  *m2*n1  *n2

                  10      13   6   2            10      13   4   4
       + 18*a33*m1  *m2*n1  *n2 *n3  - 40*a33*m1  *m2*n1  *n2 *n3

                  10      13   2   6           10      11   10
       + 24*a33*m1  *m2*n1  *n2 *n3  - 2*a33*m1  *m2*n1  *n2

                 10      11   8   2            10      11   6   4
       - 4*a33*m1  *m2*n1  *n2 *n3  + 48*a33*m1  *m2*n1  *n2 *n3

                  10      11   4   6           10      9   12
       - 64*a33*m1  *m2*n1  *n2 *n3  + 2*a33*m1  *m2*n1 *n2

                  10      9   10   2            10      9   8   4
       - 18*a33*m1  *m2*n1 *n2  *n3  + 40*a33*m1  *m2*n1 *n2 *n3

                  10      9   6   6           10      7   14
       - 24*a33*m1  *m2*n1 *n2 *n3  + 2*a33*m1  *m2*n1 *n2

                 10      7   12   2            10      7   10   4
       + 4*a33*m1  *m2*n1 *n2  *n3  - 48*a33*m1  *m2*n1 *n2  *n3

                  10      7   8   6            9   2   14   7
       + 64*a33*m1  *m2*n1 *n2 *n3  + 10*a33*m1 *m2 *n1  *n2

                  9   2   14   5   2            9   2   14   3   4
       - 52*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2 *n3

                  9   2   14      6            9   2   12   7   2
       - 24*a33*m1 *m2 *n1  *n2*n3  + 76*a33*m1 *m2 *n1  *n2 *n3

                   9   2   12   5   4             9   2   12   3   6
       - 256*a33*m1 *m2 *n1  *n2 *n3  + 192*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   11            9   2   10   9   2
       - 20*a33*m1 *m2 *n1  *n2   + 70*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   7   4             9   2   10   5   6
       + 40*a33*m1 *m2 *n1  *n2 *n3  - 200*a33*m1 *m2 *n1  *n2 *n3

                  9   2   8   11   2             9   2   8   9   4
       - 76*a33*m1 *m2 *n1 *n2  *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                   9   2   8   7   6            9   2   6   15
       - 192*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  9   2   6   13   2             9   2   6   11   4
       - 18*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   9   2   6   9   6            8   3   15   6
       + 224*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                  8   3   15   4   2            8   3   15   2   4
       + 68*a33*m1 *m2 *n1  *n2 *n3  - 56*a33*m1 *m2 *n1  *n2 *n3

                 8   3   15   6            8   3   13   8
       + 8*a33*m1 *m2 *n1  *n3  + 30*a33*m1 *m2 *n1  *n2

                   8   3   13   6   2             8   3   13   4   4
       - 264*a33*m1 *m2 *n1  *n2 *n3  + 480*a33*m1 *m2 *n1  *n2 *n3

                   8   3   13   2   6            8   3   11   10
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 50*a33*m1 *m2 *n1  *n2

                  8   3   11   8   2             8   3   11   6   4
       + 10*a33*m1 *m2 *n1  *n2 *n3  - 616*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   4   6            8   3   9   12
       + 664*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1 *n2

                   8   3   9   10   2             8   3   9   8   4
       + 344*a33*m1 *m2 *n1 *n2  *n3  - 368*a33*m1 *m2 *n1 *n2 *n3

                   8   3   9   6   6            8   3   7   14
       - 256*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                  8   3   7   12   2             8   3   7   10   4
       - 78*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                   8   3   7   8   6            8   3   5   16
       - 672*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  8   3   5   14   2             8   3   5   12   4
       - 80*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   8   3   5   10   6            7   4   16   5
       + 448*a33*m1 *m2 *n1 *n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                  7   4   16   3   2            7   4   16      4
       - 42*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

                  7   4   14   7             7   4   14   5   2
       - 80*a33*m1 *m2 *n1  *n2  + 376*a33*m1 *m2 *n1  *n2 *n3

                   7   4   14   3   4            7   4   14      6
       - 384*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2*n3

                  7   4   12   9             7   4   12   7   2
       - 20*a33*m1 *m2 *n1  *n2  - 450*a33*m1 *m2 *n1  *n2 *n3

                    7   4   12   5   4             7   4   12   3   6
       + 1328*a33*m1 *m2 *n1  *n2 *n3  - 672*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   11             7   4   10   9   2
       + 160*a33*m1 *m2 *n1  *n2   - 496*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   7   4              7   4   10   5   6
       - 512*a33*m1 *m2 *n1  *n2 *n3  + 1280*a33*m1 *m2 *n1  *n2 *n3

                  7   4   8   13             7   4   8   11   2
       - 20*a33*m1 *m2 *n1 *n2   + 622*a33*m1 *m2 *n1 *n2  *n3

                    7   4   8   9   4             7   4   8   7   6
       - 1344*a33*m1 *m2 *n1 *n2 *n3  + 112*a33*m1 *m2 *n1 *n2 *n3

                  7   4   6   15             7   4   6   13   2
       - 80*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

                   7   4   6   11   4              7   4   6   9   6
       + 896*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                  7   4   4   17             7   4   4   15   2
       + 20*a33*m1 *m2 *n1 *n2   - 130*a33*m1 *m2 *n1 *n2  *n3

                   7   4   4   11   6            6   5   17   4
       + 560*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                  6   5   17   2   2            6   5   15   6
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1  *n2

                   6   5   15   4   2             6   5   15   2   4
       - 244*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   5   13   8             6   5   13   6   2
       - 90*a33*m1 *m2 *n1  *n2  + 818*a33*m1 *m2 *n1  *n2 *n3

                    6   5   13   4   4             6   5   13   2   6
       - 1120*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                   6   5   11   10            6   5   11   8   2
       - 190*a33*m1 *m2 *n1  *n2   - 76*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   6   4              6   5   11   4   6
       + 1904*a33*m1 *m2 *n1  *n2 *n3  - 1344*a33*m1 *m2 *n1  *n2 *n3

                   6   5   9   12              6   5   9   10   2
       + 190*a33*m1 *m2 *n1 *n2   - 1198*a33*m1 *m2 *n1 *n2  *n3

                   6   5   9   8   4              6   5   9   6   6
       + 560*a33*m1 *m2 *n1 *n2 *n3  + 1456*a33*m1 *m2 *n1 *n2 *n3

                  6   5   7   14             6   5   7   12   2
       + 90*a33*m1 *m2 *n1 *n2   + 428*a33*m1 *m2 *n1 *n2  *n3

                    6   5   7   10   4             6   5   7   8   6
       - 2128*a33*m1 *m2 *n1 *n2  *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                  6   5   5   16             6   5   5   14   2
       - 90*a33*m1 *m2 *n1 *n2   + 370*a33*m1 *m2 *n1 *n2  *n3

                   6   5   5   12   4              6   5   5   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  - 1680*a33*m1 *m2 *n1 *n2  *n3

                  6   5   3   18             6   5   3   16   2
       + 10*a33*m1 *m2 *n1 *n2   - 108*a33*m1 *m2 *n1 *n2  *n3

                   6   5   3   14   4             6   5   3   12   6
       + 112*a33*m1 *m2 *n1 *n2  *n3  + 448*a33*m1 *m2 *n1 *n2  *n3

                 5   6   18   3            5   6   16   5
       + 2*a33*m1 *m2 *n1  *n2  - 48*a33*m1 *m2 *n1  *n2

                  5   6   16   3   2             5   6   14   7
       + 60*a33*m1 *m2 *n1  *n2 *n3  + 148*a33*m1 *m2 *n1  *n2

                   5   6   14   5   2             5   6   14   3   4
       - 582*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                  5   6   12   9             5   6   12   7   2
       + 48*a33*m1 *m2 *n1  *n2  + 820*a33*m1 *m2 *n1  *n2 *n3

                    5   6   12   5   4             5   6   12   3   6
       - 1792*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   5   6   10   11             5   6   10   9   2
       - 300*a33*m1 *m2 *n1  *n2   + 762*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   7   4              5   6   10   5   6
       + 1344*a33*m1 *m2 *n1  *n2 *n3  - 1680*a33*m1 *m2 *n1  *n2 *n3

                  5   6   8   13              5   6   8   11   2
       + 48*a33*m1 *m2 *n1 *n2   - 1252*a33*m1 *m2 *n1 *n2  *n3

                    5   6   8   9   4             5   6   8   7   6
       + 1792*a33*m1 *m2 *n1 *n2 *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                   5   6   6   15             5   6   6   13   2
       + 148*a33*m1 *m2 *n1 *n2   - 134*a33*m1 *m2 *n1 *n2  *n3

                    5   6   6   11   4              5   6   6   9   6
       - 1792*a33*m1 *m2 *n1 *n2  *n3  + 1456*a33*m1 *m2 *n1 *n2 *n3

                  5   6   4   17             5   6   4   15   2
       - 48*a33*m1 *m2 *n1 *n2   + 372*a33*m1 *m2 *n1 *n2  *n3

                    5   6   4   11   6           5   6   2   19
       - 1344*a33*m1 *m2 *n1 *n2  *n3  + 2*a33*m1 *m2 *n1 *n2

                  5   6   2   17   2             5   6   2   15   4
       - 46*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   5   6   2   13   6            4   7   17   4
       + 224*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  4   7   15   6             4   7   15   4   2
       - 90*a33*m1 *m2 *n1  *n2  + 150*a33*m1 *m2 *n1  *n2 *n3

                  4   7   13   8             4   7   13   6   2
       + 90*a33*m1 *m2 *n1  *n2  - 720*a33*m1 *m2 *n1  *n2 *n3

                   4   7   13   4   4             4   7   11   10
       + 560*a33*m1 *m2 *n1  *n2 *n3  + 190*a33*m1 *m2 *n1  *n2

                   4   7   11   8   2              4   7   11   6   4
       + 230*a33*m1 *m2 *n1  *n2 *n3  - 1680*a33*m1 *m2 *n1  *n2 *n3

                   4   7   11   4   6             4   7   9   12
       + 560*a33*m1 *m2 *n1  *n2 *n3  - 190*a33*m1 *m2 *n1 *n2

                    4   7   9   10   2             4   7   9   8   4
       + 1128*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2 *n3

                    4   7   9   6   6            4   7   7   14
       - 1344*a33*m1 *m2 *n1 *n2 *n3  - 90*a33*m1 *m2 *n1 *n2

                   4   7   7   12   2              4   7   7   10   4
       - 554*a33*m1 *m2 *n1 *n2  *n3  + 1904*a33*m1 *m2 *n1 *n2  *n3

                   4   7   7   8   6            4   7   5   16
       + 112*a33*m1 *m2 *n1 *n2 *n3  + 90*a33*m1 *m2 *n1 *n2

                   4   7   5   14   2             4   7   5   12   4
       - 400*a33*m1 *m2 *n1 *n2  *n3  - 720*a33*m1 *m2 *n1 *n2  *n3

                    4   7   5   10   6            4   7   3   18
       + 1280*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                   4   7   3   16   2             4   7   3   14   4
       + 174*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   4   7   3   12   6           4   7      18   2
       - 672*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1*n2  *n3

                  4   7      16   4            4   7      14   6
       + 48*a33*m1 *m2 *n1*n2  *n3  + 64*a33*m1 *m2 *n1*n2  *n3

                  3   8   16   5            3   8   14   7
       + 20*a33*m1 *m2 *n1  *n2  - 80*a33*m1 *m2 *n1  *n2

                   3   8   14   5   2            3   8   12   9
       + 200*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   3   8   12   7   2             3   8   12   5   4
       - 470*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   11             3   8   10   9   2
       + 160*a33*m1 *m2 *n1  *n2   - 272*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   7   4             3   8   10   5   6
       - 896*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                  3   8   8   13             3   8   8   11   2
       - 20*a33*m1 *m2 *n1 *n2   + 706*a33*m1 *m2 *n1 *n2  *n3

                   3   8   8   9   4             3   8   8   7   6
       - 560*a33*m1 *m2 *n1 *n2 *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                  3   8   6   15            3   8   6   13   2
       - 80*a33*m1 *m2 *n1 *n2   + 40*a33*m1 *m2 *n1 *n2  *n3

                    3   8   6   11   4             3   8   6   9   6
       + 1024*a33*m1 *m2 *n1 *n2  *n3  - 256*a33*m1 *m2 *n1 *n2 *n3

                  3   8   4   17             3   8   4   15   2
       + 20*a33*m1 *m2 *n1 *n2   - 236*a33*m1 *m2 *n1 *n2  *n3

                 3   8   4   13   4             3   8   4   11   6
       - 8*a33*m1 *m2 *n1 *n2  *n3  + 664*a33*m1 *m2 *n1 *n2  *n3

                  3   8   2   17   2             3   8   2   15   4
       + 32*a33*m1 *m2 *n1 *n2  *n3  - 128*a33*m1 *m2 *n1 *n2  *n3

                   3   8   2   13   6           3   8   17   4
       - 192*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

                 3   8   15   6            2   9   15   6
       + 8*a33*m1 *m2 *n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                  2   9   13   8             2   9   13   6   2
       - 30*a33*m1 *m2 *n1  *n2  + 150*a33*m1 *m2 *n1  *n2 *n3

                  2   9   11   10             2   9   11   8   2
       - 50*a33*m1 *m2 *n1  *n2   - 132*a33*m1 *m2 *n1  *n2 *n3

                   2   9   11   6   4            2   9   9   12
       + 336*a33*m1 *m2 *n1  *n2 *n3  + 50*a33*m1 *m2 *n1 *n2

                   2   9   9   10   2             2   9   9   8   4
       - 274*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                   2   9   9   6   6            2   9   7   14
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2

                   2   9   7   12   2             2   9   7   10   4
       + 180*a33*m1 *m2 *n1 *n2  *n3  - 432*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   8   6            2   9   5   16
       - 192*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   2   9   5   14   2             2   9   5   12   4
       + 124*a33*m1 *m2 *n1 *n2  *n3  + 248*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   10   6            2   9   3   16   2
       - 200*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2  *n3

                  2   9   3   14   4             2   9   3   12   6
       + 96*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                  2   9      16   4            2   9      14   6
       - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                     10   14   7               10   12   7   2
       + 10*a33*m1*m2  *n1  *n2  + 60*a33*m1*m2  *n1  *n2 *n3

                     10   10   11              10   10   9   2
       - 20*a33*m1*m2  *n1  *n2   + 6*a33*m1*m2  *n1  *n2 *n3

                      10   10   7   4               10   8   11   2
       + 112*a33*m1*m2  *n1  *n2 *n3  - 92*a33*m1*m2  *n1 *n2  *n3

                     10   8   7   6               10   6   15
       + 64*a33*m1*m2  *n1 *n2 *n3  + 10*a33*m1*m2  *n1 *n2

                    10   6   13   2                10   6   11   4
       - 6*a33*m1*m2  *n1 *n2  *n3  - 136*a33*m1*m2  *n1 *n2  *n3

                     10   6   9   6               10   4   15   2
       - 24*a33*m1*m2  *n1 *n2 *n3  + 32*a33*m1*m2  *n1 *n2  *n3

                     10   4   11   6               10   2   15   4
       - 64*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                     10   2   13   6           11   13   8
       + 24*a33*m1*m2  *n1 *n2  *n3  + 2*a33*m2  *n1  *n2

                 11   11   10            11   11   8   2           11   9   12
       + 2*a33*m2  *n1  *n2   + 10*a33*m2  *n1  *n2 *n3  - 2*a33*m2  *n1 *n2

                 11   9   10   2            11   9   8   4           11   7   14
       + 8*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3  - 2*a33*m2  *n1 *n2

                  11   7   12   2           11   7   10   4
       - 10*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   7   8   6           11   5   14   2
       + 8*a33*m2  *n1 *n2 *n3  - 8*a33*m2  *n1 *n2  *n3

                  11   5   12   4           11   3   14   4
       - 16*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                 11   3   12   6         2       10   15   6   2
       - 8*a33*m2  *n1 *n2  *n3 ) + u1*v2 *( - m1  *n1  *n2 *n3

             10   15   4   4       10   15   2   6     10   13   8   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1  *n2 *n3

             10   13   6   4       10   13   4   6     10   11   10   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + m1  *n1  *n2  *n3

             10   11   8   4       10   11   6   6     10   9   12   2
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3

             10   9   10   4       10   9   8   6     9      16   7
       - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2

             9      16   5   2        9      16   3   4       9      16      6
       + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2*n3

             9      14   9       9      14   7   2       9      14   5   4
       - 2*m1 *m2*n1  *n2  + 6*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

              9      14   3   6        9      12   9   2
       - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2 *n3

              9      12   7   4        9      12   5   6       9      10   13
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1  *n2

             9      10   11   2       9      10   9   4        9      10   7   6
       - 6*m1 *m2*n1  *n2  *n3  - 8*m1 *m2*n1  *n2 *n3  + 24*m1 *m2*n1  *n2 *n3

           9      8   15       9      8   13   2        9      8   11   4
       + m1 *m2*n1 *n2   + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      8   9   6       8   2   17   6        8   2   17   4   2
       + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2  - 18*m1 *m2 *n1  *n2 *n3

              8   2   17   2   4       8   2   17   6       8   2   15   8
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  + 3*m1 *m2 *n1  *n2

              8   2   15   6   2        8   2   15   4   4
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   15   2   6        8   2   13   10
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2

              8   2   13   8   2        8   2   13   6   4
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   13   4   6       8   2   11   12       8   2   11   10   2
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2   - 9*m1 *m2 *n1  *n2  *n3

               8   2   11   8   4         8   2   11   6   6
       + 140*m1 *m2 *n1  *n2 *n3  - 172*m1 *m2 *n1  *n2 *n3

             8   2   9   14        8   2   9   12   2        8   2   9   10   4
       + 6*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   9   8   6       8   2   7   16       8   2   7   14   2
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2   - 9*m1 *m2 *n1 *n2  *n3

              8   2   7   12   4         8   2   7   10   6       7   3   18   5
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1  *n2

              7   3   18   3   2       7   3   18      4       7   3   16   7
       + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3  + 8*m1 *m2 *n1  *n2

              7   3   16   5   2         7   3   16   3   4
       - 80*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   3   16      6        7   3   14   9        7   3   14   7   2
       - 32*m1 *m2 *n1  *n2*n3  + 30*m1 *m2 *n1  *n2  - 64*m1 *m2 *n1  *n2 *n3

               7   3   14   5   4         7   3   14   3   6
       - 136*m1 *m2 *n1  *n2 *n3  + 192*m1 *m2 *n1  *n2 *n3

             7   3   12   11         7   3   12   9   2
       - 8*m1 *m2 *n1  *n2   + 168*m1 *m2 *n1  *n2 *n3

               7   3   12   7   4        7   3   12   5   6
       - 352*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

              7   3   10   13        7   3   10   11   2
       - 34*m1 *m2 *n1  *n2   + 88*m1 *m2 *n1  *n2  *n3

               7   3   10   9   4         7   3   10   7   6
       + 200*m1 *m2 *n1  *n2 *n3  - 416*m1 *m2 *n1  *n2 *n3

              7   3   8   13   2         7   3   8   11   4
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   6   17        7   3   6   15   2        7   3   6   13   4
       + 10*m1 *m2 *n1 *n2   - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               7   3   6   11   6       6   4   19   4       6   4   19   2   2
       + 224*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 5*m1 *m2 *n1  *n2 *n3

              6   4   17   6        6   4   17   4   2        6   4   17   2   4
       - 22*m1 *m2 *n1  *n2  + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   15   8         6   4   15   6   2
       - 20*m1 *m2 *n1  *n2  - 101*m1 *m2 *n1  *n2 *n3

               6   4   15   4   4         6   4   15   2   6
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   13   10         6   4   13   8   2
       + 62*m1 *m2 *n1  *n2   - 305*m1 *m2 *n1  *n2 *n3

              6   4   13   6   4         6   4   13   4   6
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   11   12         6   4   11   10   2
       + 36*m1 *m2 *n1  *n2   + 151*m1 *m2 *n1  *n2  *n3

               6   4   11   8   4         6   4   11   6   6
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   9   14         6   4   9   12   2
       - 50*m1 *m2 *n1 *n2   + 283*m1 *m2 *n1 *n2  *n3

               6   4   9   8   6        6   4   7   16        6   4   7   14   2
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3

               6   4   7   12   4         6   4   7   10   6
       + 392*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

              6   4   5   18        6   4   5   16   2
       + 10*m1 *m2 *n1 *n2   - 65*m1 *m2 *n1 *n2  *n3

               6   4   5   12   6     5   5   20   3        5   5   18   5
       + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2

              5   5   18   3   2        5   5   16   7
       - 30*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2

               5   5   16   5   2         5   5   16   3   4
       + 186*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              5   5   14   9        5   5   14   7   2
       - 78*m1 *m2 *n1  *n2  + 66*m1 *m2 *n1  *n2 *n3

               5   5   14   5   4         5   5   14   3   6
       + 448*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              5   5   12   11         5   5   12   9   2
       + 36*m1 *m2 *n1  *n2   - 486*m1 *m2 *n1  *n2 *n3

               5   5   12   7   4         5   5   12   5   6
       + 504*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              5   5   10   13         5   5   10   11   2
       + 90*m1 *m2 *n1  *n2   - 102*m1 *m2 *n1  *n2  *n3

               5   5   10   9   4         5   5   10   7   6
       - 784*m1 *m2 *n1  *n2 *n3  + 560*m1 *m2 *n1  *n2 *n3

              5   5   8   15         5   5   8   13   2
       - 20*m1 *m2 *n1 *n2   + 354*m1 *m2 *n1 *n2  *n3

               5   5   8   11   4         5   5   8   9   6
       - 392*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2 *n3

              5   5   6   17        5   5   6   15   2
       - 30*m1 *m2 *n1 *n2   + 66*m1 *m2 *n1 *n2  *n3

               5   5   6   13   4         5   5   6   11   6
       + 336*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3

             5   5   4   19        5   5   4   17   2        5   5   4   15   4
       + 5*m1 *m2 *n1 *n2   - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   4   13   6       4   6   19   4        4   6   17   6
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2

              4   6   17   4   2        4   6   15   8
       - 75*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2

               4   6   15   6   2         4   6   15   4   4
       + 185*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   13   10         4   6   13   8   2
       - 90*m1 *m2 *n1  *n2   + 305*m1 *m2 *n1  *n2 *n3

               4   6   13   6   4         4   6   13   4   6
       + 280*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   11   12         4   6   11   10   2
       - 36*m1 *m2 *n1  *n2   - 347*m1 *m2 *n1  *n2  *n3

               4   6   11   8   4         4   6   11   6   6
       + 784*m1 *m2 *n1  *n2 *n3  + 168*m1 *m2 *n1  *n2 *n3

              4   6   9   14         4   6   9   12   2
       + 78*m1 *m2 *n1 *n2   - 339*m1 *m2 *n1 *n2  *n3

               4   6   9   10   4         4   6   9   8   6
       - 392*m1 *m2 *n1 *n2  *n3  + 616*m1 *m2 *n1 *n2 *n3

              4   6   7   16         4   6   7   14   2
       + 20*m1 *m2 *n1 *n2   + 185*m1 *m2 *n1 *n2  *n3

               4   6   7   12   4         4   6   7   10   6
       - 560*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              4   6   5   18         4   6   5   16   2
       - 18*m1 *m2 *n1 *n2   + 109*m1 *m2 *n1 *n2  *n3

               4   6   5   14   4         4   6   5   12   6     4   6   3   20
       + 112*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2

              4   6   3   18   2        4   6   3   16   4
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   3   14   6        3   7   18   5        3   7   16   7
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 20*m1 *m2 *n1  *n2

               3   7   16   5   2        3   7   14   9
       - 100*m1 *m2 *n1  *n2 *n3  + 50*m1 *m2 *n1  *n2

              3   7   14   7   2         3   7   14   5   4
       + 60*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              3   7   12   11         3   7   12   9   2
       - 36*m1 *m2 *n1  *n2   + 332*m1 *m2 *n1  *n2 *n3

               3   7   12   5   6        3   7   10   13
       - 224*m1 *m2 *n1  *n2 *n3  - 62*m1 *m2 *n1  *n2

              3   7   10   11   2         3   7   10   9   4
       - 52*m1 *m2 *n1  *n2  *n3  + 616*m1 *m2 *n1  *n2 *n3

              3   7   8   15         3   7   8   13   2
       + 20*m1 *m2 *n1 *n2   - 292*m1 *m2 *n1 *n2  *n3

              3   7   8   11   4         3   7   8   9   6        3   7   6   17
       + 32*m1 *m2 *n1 *n2  *n3  + 416*m1 *m2 *n1 *n2 *n3  + 22*m1 *m2 *n1 *n2

             3   7   6   15   2         3   7   6   13   4
       - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   6   11   6       3   7   4   19        3   7   4   17   2
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2   + 60*m1 *m2 *n1 *n2  *n3

              3   7   4   15   4         3   7   4   13   6
       - 32*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2  *n3

             3   7   2   19   2        3   7   2   17   4
       - 4*m1 *m2 *n1 *n2  *n3  + 24*m1 *m2 *n1 *n2  *n3

              3   7   2   15   6        2   8   17   6        2   8   15   6   2
       + 32*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3

              2   8   13   10        2   8   13   8   2
       + 34*m1 *m2 *n1  *n2   - 39*m1 *m2 *n1  *n2 *n3

               2   8   13   6   4       2   8   11   12
       - 168*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2

               2   8   11   10   2         2   8   11   8   4
       + 165*m1 *m2 *n1  *n2  *n3  - 112*m1 *m2 *n1  *n2 *n3

               2   8   11   6   6        2   8   9   14
       - 112*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1 *n2

              2   8   9   12   2         2   8   9   10   4
       + 81*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2  *n3

              2   8   9   8   6       2   8   7   16         2   8   7   14   2
       - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2   - 102*m1 *m2 *n1 *n2  *n3

               2   8   7   12   4         2   8   7   10   6
       + 148*m1 *m2 *n1 *n2  *n3  + 172*m1 *m2 *n1 *n2  *n3

             2   8   5   18        2   8   5   16   2         2   8   5   14   4
       + 6*m1 *m2 *n1 *n2   - 42*m1 *m2 *n1 *n2  *n3  - 100*m1 *m2 *n1 *n2  *n3

              2   8   5   12   6        2   8   3   18   2
       + 44*m1 *m2 *n1 *n2  *n3  + 12*m1 *m2 *n1 *n2  *n3

              2   8   3   16   4        2   8   3   14   6
       - 36*m1 *m2 *n1 *n2  *n3  - 60*m1 *m2 *n1 *n2  *n3

             2   8      18   4       2   8      16   6          9   16   7
       + 4*m1 *m2 *n1*n2  *n3  + 4*m1 *m2 *n1*n2  *n3  - 5*m1*m2 *n1  *n2

                9   14   9           9   14   7   2          9   12   11
       - 6*m1*m2 *n1  *n2  - 30*m1*m2 *n1  *n2 *n3  + 8*m1*m2 *n1  *n2

                 9   12   9   2           9   12   7   4           9   10   13
       - 38*m1*m2 *n1  *n2 *n3  - 56*m1*m2 *n1  *n2 *n3  + 10*m1*m2 *n1  *n2

                 9   10   11   2           9   10   9   4
       + 34*m1*m2 *n1  *n2  *n3  - 64*m1*m2 *n1  *n2 *n3

                 9   10   7   6          9   8   15           9   8   13   2
       - 32*m1*m2 *n1  *n2 *n3  - 3*m1*m2 *n1 *n2   + 50*m1*m2 *n1 *n2  *n3

                 9   8   11   4           9   8   9   6          9   6   17
       + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2

                9   6   15   2           9   6   13   4           9   6   11   6
       - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3  + 40*m1*m2 *n1 *n2  *n3

                 9   4   17   2           9   4   13   6          9   2   17   4
       - 12*m1*m2 *n1 *n2  *n3  + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1 *n2  *n3

                9   2   15   6     10   15   8       10   13   10
       - 8*m1*m2 *n1 *n2  *n3  - m2  *n1  *n2  - 2*m2  *n1  *n2

             10   13   8   2       10   11   10   2       10   11   8   4
       - 5*m2  *n1  *n2 *n3  - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3

             10   9   14     10   9   12   2        10   9   10   4
       + 2*m2  *n1 *n2   + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3

             10   9   8   6     10   7   16       10   7   14   2
       - 4*m2  *n1 *n2 *n3  + m2  *n1 *n2   + 9*m2  *n1 *n2  *n3

             10   7   12   4       10   7   10   6       10   5   16   2
       + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

              10   5   14   4       10   5   12   6       10   3   16   4
       + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   3   14   6            2             11   12   7   2
       + 4*m2  *n1 *n2  *n3 ) + u1*v2*v3 *( - 2*a33*m1  *n1  *n2 *n3

                 11   12   5   4           11   12   3   6
       + 8*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   8   11   2           11   8   9   4
       + 2*a33*m1  *n1 *n2  *n3  - 8*a33*m1  *n1 *n2 *n3

                 11   8   7   6           10      13   8
       + 8*a33*m1  *n1 *n2 *n3  - 2*a33*m1  *m2*n1  *n2

                  10      13   6   2            10      13   4   4
       + 18*a33*m1  *m2*n1  *n2 *n3  - 40*a33*m1  *m2*n1  *n2 *n3

                  10      13   2   6           10      11   10
       + 24*a33*m1  *m2*n1  *n2 *n3  - 2*a33*m1  *m2*n1  *n2

                 10      11   8   2            10      11   6   4
       - 4*a33*m1  *m2*n1  *n2 *n3  + 48*a33*m1  *m2*n1  *n2 *n3

                  10      11   4   6           10      9   12
       - 64*a33*m1  *m2*n1  *n2 *n3  + 2*a33*m1  *m2*n1 *n2

                  10      9   10   2            10      9   8   4
       - 18*a33*m1  *m2*n1 *n2  *n3  + 40*a33*m1  *m2*n1 *n2 *n3

                  10      9   6   6           10      7   14
       - 24*a33*m1  *m2*n1 *n2 *n3  + 2*a33*m1  *m2*n1 *n2

                 10      7   12   2            10      7   10   4
       + 4*a33*m1  *m2*n1 *n2  *n3  - 48*a33*m1  *m2*n1 *n2  *n3

                  10      7   8   6            9   2   14   7
       + 64*a33*m1  *m2*n1 *n2 *n3  + 10*a33*m1 *m2 *n1  *n2

                  9   2   14   5   2            9   2   14   3   4
       - 52*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2 *n3

                  9   2   14      6            9   2   12   7   2
       - 24*a33*m1 *m2 *n1  *n2*n3  + 76*a33*m1 *m2 *n1  *n2 *n3

                   9   2   12   5   4             9   2   12   3   6
       - 256*a33*m1 *m2 *n1  *n2 *n3  + 192*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   11            9   2   10   9   2
       - 20*a33*m1 *m2 *n1  *n2   + 70*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   7   4             9   2   10   5   6
       + 40*a33*m1 *m2 *n1  *n2 *n3  - 200*a33*m1 *m2 *n1  *n2 *n3

                  9   2   8   11   2             9   2   8   9   4
       - 76*a33*m1 *m2 *n1 *n2  *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                   9   2   8   7   6            9   2   6   15
       - 192*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  9   2   6   13   2             9   2   6   11   4
       - 18*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   9   2   6   9   6            8   3   15   6
       + 224*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                  8   3   15   4   2            8   3   15   2   4
       + 68*a33*m1 *m2 *n1  *n2 *n3  - 56*a33*m1 *m2 *n1  *n2 *n3

                 8   3   15   6            8   3   13   8
       + 8*a33*m1 *m2 *n1  *n3  + 30*a33*m1 *m2 *n1  *n2

                   8   3   13   6   2             8   3   13   4   4
       - 264*a33*m1 *m2 *n1  *n2 *n3  + 480*a33*m1 *m2 *n1  *n2 *n3

                   8   3   13   2   6            8   3   11   10
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 50*a33*m1 *m2 *n1  *n2

                  8   3   11   8   2             8   3   11   6   4
       + 10*a33*m1 *m2 *n1  *n2 *n3  - 616*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   4   6            8   3   9   12
       + 664*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1 *n2

                   8   3   9   10   2             8   3   9   8   4
       + 344*a33*m1 *m2 *n1 *n2  *n3  - 368*a33*m1 *m2 *n1 *n2 *n3

                   8   3   9   6   6            8   3   7   14
       - 256*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                  8   3   7   12   2             8   3   7   10   4
       - 78*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                   8   3   7   8   6            8   3   5   16
       - 672*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  8   3   5   14   2             8   3   5   12   4
       - 80*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   8   3   5   10   6            7   4   16   5
       + 448*a33*m1 *m2 *n1 *n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                  7   4   16   3   2            7   4   16      4
       - 42*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

                  7   4   14   7             7   4   14   5   2
       - 80*a33*m1 *m2 *n1  *n2  + 376*a33*m1 *m2 *n1  *n2 *n3

                   7   4   14   3   4            7   4   14      6
       - 384*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2*n3

                  7   4   12   9             7   4   12   7   2
       - 20*a33*m1 *m2 *n1  *n2  - 450*a33*m1 *m2 *n1  *n2 *n3

                    7   4   12   5   4             7   4   12   3   6
       + 1328*a33*m1 *m2 *n1  *n2 *n3  - 672*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   11             7   4   10   9   2
       + 160*a33*m1 *m2 *n1  *n2   - 496*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   7   4              7   4   10   5   6
       - 512*a33*m1 *m2 *n1  *n2 *n3  + 1280*a33*m1 *m2 *n1  *n2 *n3

                  7   4   8   13             7   4   8   11   2
       - 20*a33*m1 *m2 *n1 *n2   + 622*a33*m1 *m2 *n1 *n2  *n3

                    7   4   8   9   4             7   4   8   7   6
       - 1344*a33*m1 *m2 *n1 *n2 *n3  + 112*a33*m1 *m2 *n1 *n2 *n3

                  7   4   6   15             7   4   6   13   2
       - 80*a33*m1 *m2 *n1 *n2   + 120*a33*m1 *m2 *n1 *n2  *n3

                   7   4   6   11   4              7   4   6   9   6
       + 896*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                  7   4   4   17             7   4   4   15   2
       + 20*a33*m1 *m2 *n1 *n2   - 130*a33*m1 *m2 *n1 *n2  *n3

                   7   4   4   11   6            6   5   17   4
       + 560*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                  6   5   17   2   2            6   5   15   6
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1  *n2

                   6   5   15   4   2             6   5   15   2   4
       - 244*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   5   13   8             6   5   13   6   2
       - 90*a33*m1 *m2 *n1  *n2  + 818*a33*m1 *m2 *n1  *n2 *n3

                    6   5   13   4   4             6   5   13   2   6
       - 1120*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                   6   5   11   10            6   5   11   8   2
       - 190*a33*m1 *m2 *n1  *n2   - 76*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   6   4              6   5   11   4   6
       + 1904*a33*m1 *m2 *n1  *n2 *n3  - 1344*a33*m1 *m2 *n1  *n2 *n3

                   6   5   9   12              6   5   9   10   2
       + 190*a33*m1 *m2 *n1 *n2   - 1198*a33*m1 *m2 *n1 *n2  *n3

                   6   5   9   8   4              6   5   9   6   6
       + 560*a33*m1 *m2 *n1 *n2 *n3  + 1456*a33*m1 *m2 *n1 *n2 *n3

                  6   5   7   14             6   5   7   12   2
       + 90*a33*m1 *m2 *n1 *n2   + 428*a33*m1 *m2 *n1 *n2  *n3

                    6   5   7   10   4             6   5   7   8   6
       - 2128*a33*m1 *m2 *n1 *n2  *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                  6   5   5   16             6   5   5   14   2
       - 90*a33*m1 *m2 *n1 *n2   + 370*a33*m1 *m2 *n1 *n2  *n3

                   6   5   5   12   4              6   5   5   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  - 1680*a33*m1 *m2 *n1 *n2  *n3

                  6   5   3   18             6   5   3   16   2
       + 10*a33*m1 *m2 *n1 *n2   - 108*a33*m1 *m2 *n1 *n2  *n3

                   6   5   3   14   4             6   5   3   12   6
       + 112*a33*m1 *m2 *n1 *n2  *n3  + 448*a33*m1 *m2 *n1 *n2  *n3

                 5   6   18   3            5   6   16   5
       + 2*a33*m1 *m2 *n1  *n2  - 48*a33*m1 *m2 *n1  *n2

                  5   6   16   3   2             5   6   14   7
       + 60*a33*m1 *m2 *n1  *n2 *n3  + 148*a33*m1 *m2 *n1  *n2

                   5   6   14   5   2             5   6   14   3   4
       - 582*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                  5   6   12   9             5   6   12   7   2
       + 48*a33*m1 *m2 *n1  *n2  + 820*a33*m1 *m2 *n1  *n2 *n3

                    5   6   12   5   4             5   6   12   3   6
       - 1792*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   5   6   10   11             5   6   10   9   2
       - 300*a33*m1 *m2 *n1  *n2   + 762*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   7   4              5   6   10   5   6
       + 1344*a33*m1 *m2 *n1  *n2 *n3  - 1680*a33*m1 *m2 *n1  *n2 *n3

                  5   6   8   13              5   6   8   11   2
       + 48*a33*m1 *m2 *n1 *n2   - 1252*a33*m1 *m2 *n1 *n2  *n3

                    5   6   8   9   4             5   6   8   7   6
       + 1792*a33*m1 *m2 *n1 *n2 *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                   5   6   6   15             5   6   6   13   2
       + 148*a33*m1 *m2 *n1 *n2   - 134*a33*m1 *m2 *n1 *n2  *n3

                    5   6   6   11   4              5   6   6   9   6
       - 1792*a33*m1 *m2 *n1 *n2  *n3  + 1456*a33*m1 *m2 *n1 *n2 *n3

                  5   6   4   17             5   6   4   15   2
       - 48*a33*m1 *m2 *n1 *n2   + 372*a33*m1 *m2 *n1 *n2  *n3

                    5   6   4   11   6           5   6   2   19
       - 1344*a33*m1 *m2 *n1 *n2  *n3  + 2*a33*m1 *m2 *n1 *n2

                  5   6   2   17   2             5   6   2   15   4
       - 46*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   5   6   2   13   6            4   7   17   4
       + 224*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  4   7   15   6             4   7   15   4   2
       - 90*a33*m1 *m2 *n1  *n2  + 150*a33*m1 *m2 *n1  *n2 *n3

                  4   7   13   8             4   7   13   6   2
       + 90*a33*m1 *m2 *n1  *n2  - 720*a33*m1 *m2 *n1  *n2 *n3

                   4   7   13   4   4             4   7   11   10
       + 560*a33*m1 *m2 *n1  *n2 *n3  + 190*a33*m1 *m2 *n1  *n2

                   4   7   11   8   2              4   7   11   6   4
       + 230*a33*m1 *m2 *n1  *n2 *n3  - 1680*a33*m1 *m2 *n1  *n2 *n3

                   4   7   11   4   6             4   7   9   12
       + 560*a33*m1 *m2 *n1  *n2 *n3  - 190*a33*m1 *m2 *n1 *n2

                    4   7   9   10   2             4   7   9   8   4
       + 1128*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2 *n3

                    4   7   9   6   6            4   7   7   14
       - 1344*a33*m1 *m2 *n1 *n2 *n3  - 90*a33*m1 *m2 *n1 *n2

                   4   7   7   12   2              4   7   7   10   4
       - 554*a33*m1 *m2 *n1 *n2  *n3  + 1904*a33*m1 *m2 *n1 *n2  *n3

                   4   7   7   8   6            4   7   5   16
       + 112*a33*m1 *m2 *n1 *n2 *n3  + 90*a33*m1 *m2 *n1 *n2

                   4   7   5   14   2             4   7   5   12   4
       - 400*a33*m1 *m2 *n1 *n2  *n3  - 720*a33*m1 *m2 *n1 *n2  *n3

                    4   7   5   10   6            4   7   3   18
       + 1280*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                   4   7   3   16   2             4   7   3   14   4
       + 174*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   4   7   3   12   6           4   7      18   2
       - 672*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1*n2  *n3

                  4   7      16   4            4   7      14   6
       + 48*a33*m1 *m2 *n1*n2  *n3  + 64*a33*m1 *m2 *n1*n2  *n3

                  3   8   16   5            3   8   14   7
       + 20*a33*m1 *m2 *n1  *n2  - 80*a33*m1 *m2 *n1  *n2

                   3   8   14   5   2            3   8   12   9
       + 200*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   3   8   12   7   2             3   8   12   5   4
       - 470*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   11             3   8   10   9   2
       + 160*a33*m1 *m2 *n1  *n2   - 272*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   7   4             3   8   10   5   6
       - 896*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                  3   8   8   13             3   8   8   11   2
       - 20*a33*m1 *m2 *n1 *n2   + 706*a33*m1 *m2 *n1 *n2  *n3

                   3   8   8   9   4             3   8   8   7   6
       - 560*a33*m1 *m2 *n1 *n2 *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                  3   8   6   15            3   8   6   13   2
       - 80*a33*m1 *m2 *n1 *n2   + 40*a33*m1 *m2 *n1 *n2  *n3

                    3   8   6   11   4             3   8   6   9   6
       + 1024*a33*m1 *m2 *n1 *n2  *n3  - 256*a33*m1 *m2 *n1 *n2 *n3

                  3   8   4   17             3   8   4   15   2
       + 20*a33*m1 *m2 *n1 *n2   - 236*a33*m1 *m2 *n1 *n2  *n3

                 3   8   4   13   4             3   8   4   11   6
       - 8*a33*m1 *m2 *n1 *n2  *n3  + 664*a33*m1 *m2 *n1 *n2  *n3

                  3   8   2   17   2             3   8   2   15   4
       + 32*a33*m1 *m2 *n1 *n2  *n3  - 128*a33*m1 *m2 *n1 *n2  *n3

                   3   8   2   13   6           3   8   17   4
       - 192*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

                 3   8   15   6            2   9   15   6
       + 8*a33*m1 *m2 *n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                  2   9   13   8             2   9   13   6   2
       - 30*a33*m1 *m2 *n1  *n2  + 150*a33*m1 *m2 *n1  *n2 *n3

                  2   9   11   10             2   9   11   8   2
       - 50*a33*m1 *m2 *n1  *n2   - 132*a33*m1 *m2 *n1  *n2 *n3

                   2   9   11   6   4            2   9   9   12
       + 336*a33*m1 *m2 *n1  *n2 *n3  + 50*a33*m1 *m2 *n1 *n2

                   2   9   9   10   2             2   9   9   8   4
       - 274*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                   2   9   9   6   6            2   9   7   14
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2

                   2   9   7   12   2             2   9   7   10   4
       + 180*a33*m1 *m2 *n1 *n2  *n3  - 432*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   8   6            2   9   5   16
       - 192*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   2   9   5   14   2             2   9   5   12   4
       + 124*a33*m1 *m2 *n1 *n2  *n3  + 248*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   10   6            2   9   3   16   2
       - 200*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2  *n3

                  2   9   3   14   4             2   9   3   12   6
       + 96*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                  2   9      16   4            2   9      14   6
       - 24*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                     10   14   7               10   12   7   2
       + 10*a33*m1*m2  *n1  *n2  + 60*a33*m1*m2  *n1  *n2 *n3

                     10   10   11              10   10   9   2
       - 20*a33*m1*m2  *n1  *n2   + 6*a33*m1*m2  *n1  *n2 *n3

                      10   10   7   4               10   8   11   2
       + 112*a33*m1*m2  *n1  *n2 *n3  - 92*a33*m1*m2  *n1 *n2  *n3

                     10   8   7   6               10   6   15
       + 64*a33*m1*m2  *n1 *n2 *n3  + 10*a33*m1*m2  *n1 *n2

                    10   6   13   2                10   6   11   4
       - 6*a33*m1*m2  *n1 *n2  *n3  - 136*a33*m1*m2  *n1 *n2  *n3

                     10   6   9   6               10   4   15   2
       - 24*a33*m1*m2  *n1 *n2 *n3  + 32*a33*m1*m2  *n1 *n2  *n3

                     10   4   11   6               10   2   15   4
       - 64*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                     10   2   13   6           11   13   8
       + 24*a33*m1*m2  *n1 *n2  *n3  + 2*a33*m2  *n1  *n2

                 11   11   10            11   11   8   2           11   9   12
       + 2*a33*m2  *n1  *n2   + 10*a33*m2  *n1  *n2 *n3  - 2*a33*m2  *n1 *n2

                 11   9   10   2            11   9   8   4           11   7   14
       + 8*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3  - 2*a33*m2  *n1 *n2

                  11   7   12   2           11   7   10   4
       - 10*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   7   8   6           11   5   14   2
       + 8*a33*m2  *n1 *n2 *n3  - 8*a33*m2  *n1 *n2  *n3

                  11   5   12   4           11   3   14   4
       - 16*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                 11   3   12   6         2       10   15   6   2
       - 8*a33*m2  *n1 *n2  *n3 ) + u1*v3 *( - m1  *n1  *n2 *n3

             10   15   4   4       10   15   2   6     10   13   8   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1  *n2 *n3

             10   13   6   4       10   13   4   6     10   11   10   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + m1  *n1  *n2  *n3

             10   11   8   4       10   11   6   6     10   9   12   2
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3

             10   9   10   4       10   9   8   6     9      16   7
       - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2

             9      16   5   2        9      16   3   4       9      16      6
       + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2*n3

             9      14   9       9      14   7   2       9      14   5   4
       - 2*m1 *m2*n1  *n2  + 6*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

              9      14   3   6        9      12   9   2
       - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2 *n3

              9      12   7   4        9      12   5   6       9      10   13
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1  *n2

             9      10   11   2       9      10   9   4        9      10   7   6
       - 6*m1 *m2*n1  *n2  *n3  - 8*m1 *m2*n1  *n2 *n3  + 24*m1 *m2*n1  *n2 *n3

           9      8   15       9      8   13   2        9      8   11   4
       + m1 *m2*n1 *n2   + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      8   9   6       8   2   17   6        8   2   17   4   2
       + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2  - 18*m1 *m2 *n1  *n2 *n3

              8   2   17   2   4       8   2   17   6       8   2   15   8
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  + 3*m1 *m2 *n1  *n2

              8   2   15   6   2        8   2   15   4   4
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   15   2   6        8   2   13   10
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2

              8   2   13   8   2        8   2   13   6   4
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   13   4   6       8   2   11   12       8   2   11   10   2
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2   - 9*m1 *m2 *n1  *n2  *n3

               8   2   11   8   4         8   2   11   6   6
       + 140*m1 *m2 *n1  *n2 *n3  - 172*m1 *m2 *n1  *n2 *n3

             8   2   9   14        8   2   9   12   2        8   2   9   10   4
       + 6*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   9   8   6       8   2   7   16       8   2   7   14   2
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2   - 9*m1 *m2 *n1 *n2  *n3

              8   2   7   12   4         8   2   7   10   6       7   3   18   5
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1  *n2

              7   3   18   3   2       7   3   18      4       7   3   16   7
       + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3  + 8*m1 *m2 *n1  *n2

              7   3   16   5   2         7   3   16   3   4
       - 80*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   3   16      6        7   3   14   9        7   3   14   7   2
       - 32*m1 *m2 *n1  *n2*n3  + 30*m1 *m2 *n1  *n2  - 64*m1 *m2 *n1  *n2 *n3

               7   3   14   5   4         7   3   14   3   6
       - 136*m1 *m2 *n1  *n2 *n3  + 192*m1 *m2 *n1  *n2 *n3

             7   3   12   11         7   3   12   9   2
       - 8*m1 *m2 *n1  *n2   + 168*m1 *m2 *n1  *n2 *n3

               7   3   12   7   4        7   3   12   5   6
       - 352*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

              7   3   10   13        7   3   10   11   2
       - 34*m1 *m2 *n1  *n2   + 88*m1 *m2 *n1  *n2  *n3

               7   3   10   9   4         7   3   10   7   6
       + 200*m1 *m2 *n1  *n2 *n3  - 416*m1 *m2 *n1  *n2 *n3

              7   3   8   13   2         7   3   8   11   4
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   6   17        7   3   6   15   2        7   3   6   13   4
       + 10*m1 *m2 *n1 *n2   - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               7   3   6   11   6       6   4   19   4       6   4   19   2   2
       + 224*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 5*m1 *m2 *n1  *n2 *n3

              6   4   17   6        6   4   17   4   2        6   4   17   2   4
       - 22*m1 *m2 *n1  *n2  + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   15   8         6   4   15   6   2
       - 20*m1 *m2 *n1  *n2  - 101*m1 *m2 *n1  *n2 *n3

               6   4   15   4   4         6   4   15   2   6
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   13   10         6   4   13   8   2
       + 62*m1 *m2 *n1  *n2   - 305*m1 *m2 *n1  *n2 *n3

              6   4   13   6   4         6   4   13   4   6
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   11   12         6   4   11   10   2
       + 36*m1 *m2 *n1  *n2   + 151*m1 *m2 *n1  *n2  *n3

               6   4   11   8   4         6   4   11   6   6
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   9   14         6   4   9   12   2
       - 50*m1 *m2 *n1 *n2   + 283*m1 *m2 *n1 *n2  *n3

               6   4   9   8   6        6   4   7   16        6   4   7   14   2
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3

               6   4   7   12   4         6   4   7   10   6
       + 392*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

              6   4   5   18        6   4   5   16   2
       + 10*m1 *m2 *n1 *n2   - 65*m1 *m2 *n1 *n2  *n3

               6   4   5   12   6     5   5   20   3        5   5   18   5
       + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2

              5   5   18   3   2        5   5   16   7
       - 30*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2

               5   5   16   5   2         5   5   16   3   4
       + 186*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              5   5   14   9        5   5   14   7   2
       - 78*m1 *m2 *n1  *n2  + 66*m1 *m2 *n1  *n2 *n3

               5   5   14   5   4         5   5   14   3   6
       + 448*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              5   5   12   11         5   5   12   9   2
       + 36*m1 *m2 *n1  *n2   - 486*m1 *m2 *n1  *n2 *n3

               5   5   12   7   4         5   5   12   5   6
       + 504*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              5   5   10   13         5   5   10   11   2
       + 90*m1 *m2 *n1  *n2   - 102*m1 *m2 *n1  *n2  *n3

               5   5   10   9   4         5   5   10   7   6
       - 784*m1 *m2 *n1  *n2 *n3  + 560*m1 *m2 *n1  *n2 *n3

              5   5   8   15         5   5   8   13   2
       - 20*m1 *m2 *n1 *n2   + 354*m1 *m2 *n1 *n2  *n3

               5   5   8   11   4         5   5   8   9   6
       - 392*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2 *n3

              5   5   6   17        5   5   6   15   2
       - 30*m1 *m2 *n1 *n2   + 66*m1 *m2 *n1 *n2  *n3

               5   5   6   13   4         5   5   6   11   6
       + 336*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3

             5   5   4   19        5   5   4   17   2        5   5   4   15   4
       + 5*m1 *m2 *n1 *n2   - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   4   13   6       4   6   19   4        4   6   17   6
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2

              4   6   17   4   2        4   6   15   8
       - 75*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2

               4   6   15   6   2         4   6   15   4   4
       + 185*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   13   10         4   6   13   8   2
       - 90*m1 *m2 *n1  *n2   + 305*m1 *m2 *n1  *n2 *n3

               4   6   13   6   4         4   6   13   4   6
       + 280*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   11   12         4   6   11   10   2
       - 36*m1 *m2 *n1  *n2   - 347*m1 *m2 *n1  *n2  *n3

               4   6   11   8   4         4   6   11   6   6
       + 784*m1 *m2 *n1  *n2 *n3  + 168*m1 *m2 *n1  *n2 *n3

              4   6   9   14         4   6   9   12   2
       + 78*m1 *m2 *n1 *n2   - 339*m1 *m2 *n1 *n2  *n3

               4   6   9   10   4         4   6   9   8   6
       - 392*m1 *m2 *n1 *n2  *n3  + 616*m1 *m2 *n1 *n2 *n3

              4   6   7   16         4   6   7   14   2
       + 20*m1 *m2 *n1 *n2   + 185*m1 *m2 *n1 *n2  *n3

               4   6   7   12   4         4   6   7   10   6
       - 560*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              4   6   5   18         4   6   5   16   2
       - 18*m1 *m2 *n1 *n2   + 109*m1 *m2 *n1 *n2  *n3

               4   6   5   14   4         4   6   5   12   6     4   6   3   20
       + 112*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2

              4   6   3   18   2        4   6   3   16   4
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   3   14   6        3   7   18   5        3   7   16   7
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 20*m1 *m2 *n1  *n2

               3   7   16   5   2        3   7   14   9
       - 100*m1 *m2 *n1  *n2 *n3  + 50*m1 *m2 *n1  *n2

              3   7   14   7   2         3   7   14   5   4
       + 60*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              3   7   12   11         3   7   12   9   2
       - 36*m1 *m2 *n1  *n2   + 332*m1 *m2 *n1  *n2 *n3

               3   7   12   5   6        3   7   10   13
       - 224*m1 *m2 *n1  *n2 *n3  - 62*m1 *m2 *n1  *n2

              3   7   10   11   2         3   7   10   9   4
       - 52*m1 *m2 *n1  *n2  *n3  + 616*m1 *m2 *n1  *n2 *n3

              3   7   8   15         3   7   8   13   2
       + 20*m1 *m2 *n1 *n2   - 292*m1 *m2 *n1 *n2  *n3

              3   7   8   11   4         3   7   8   9   6        3   7   6   17
       + 32*m1 *m2 *n1 *n2  *n3  + 416*m1 *m2 *n1 *n2 *n3  + 22*m1 *m2 *n1 *n2

             3   7   6   15   2         3   7   6   13   4
       - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   6   11   6       3   7   4   19        3   7   4   17   2
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2   + 60*m1 *m2 *n1 *n2  *n3

              3   7   4   15   4         3   7   4   13   6
       - 32*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2  *n3

             3   7   2   19   2        3   7   2   17   4
       - 4*m1 *m2 *n1 *n2  *n3  + 24*m1 *m2 *n1 *n2  *n3

              3   7   2   15   6        2   8   17   6        2   8   15   6   2
       + 32*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3

              2   8   13   10        2   8   13   8   2
       + 34*m1 *m2 *n1  *n2   - 39*m1 *m2 *n1  *n2 *n3

               2   8   13   6   4       2   8   11   12
       - 168*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2

               2   8   11   10   2         2   8   11   8   4
       + 165*m1 *m2 *n1  *n2  *n3  - 112*m1 *m2 *n1  *n2 *n3

               2   8   11   6   6        2   8   9   14
       - 112*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1 *n2

              2   8   9   12   2         2   8   9   10   4
       + 81*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2  *n3

              2   8   9   8   6       2   8   7   16         2   8   7   14   2
       - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2   - 102*m1 *m2 *n1 *n2  *n3

               2   8   7   12   4         2   8   7   10   6
       + 148*m1 *m2 *n1 *n2  *n3  + 172*m1 *m2 *n1 *n2  *n3

             2   8   5   18        2   8   5   16   2         2   8   5   14   4
       + 6*m1 *m2 *n1 *n2   - 42*m1 *m2 *n1 *n2  *n3  - 100*m1 *m2 *n1 *n2  *n3

              2   8   5   12   6        2   8   3   18   2
       + 44*m1 *m2 *n1 *n2  *n3  + 12*m1 *m2 *n1 *n2  *n3

              2   8   3   16   4        2   8   3   14   6
       - 36*m1 *m2 *n1 *n2  *n3  - 60*m1 *m2 *n1 *n2  *n3

             2   8      18   4       2   8      16   6          9   16   7
       + 4*m1 *m2 *n1*n2  *n3  + 4*m1 *m2 *n1*n2  *n3  - 5*m1*m2 *n1  *n2

                9   14   9           9   14   7   2          9   12   11
       - 6*m1*m2 *n1  *n2  - 30*m1*m2 *n1  *n2 *n3  + 8*m1*m2 *n1  *n2

                 9   12   9   2           9   12   7   4           9   10   13
       - 38*m1*m2 *n1  *n2 *n3  - 56*m1*m2 *n1  *n2 *n3  + 10*m1*m2 *n1  *n2

                 9   10   11   2           9   10   9   4
       + 34*m1*m2 *n1  *n2  *n3  - 64*m1*m2 *n1  *n2 *n3

                 9   10   7   6          9   8   15           9   8   13   2
       - 32*m1*m2 *n1  *n2 *n3  - 3*m1*m2 *n1 *n2   + 50*m1*m2 *n1 *n2  *n3

                 9   8   11   4           9   8   9   6          9   6   17
       + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2

                9   6   15   2           9   6   13   4           9   6   11   6
       - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3  + 40*m1*m2 *n1 *n2  *n3

                 9   4   17   2           9   4   13   6          9   2   17   4
       - 12*m1*m2 *n1 *n2  *n3  + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1 *n2  *n3

                9   2   15   6     10   15   8       10   13   10
       - 8*m1*m2 *n1 *n2  *n3  - m2  *n1  *n2  - 2*m2  *n1  *n2

             10   13   8   2       10   11   10   2       10   11   8   4
       - 5*m2  *n1  *n2 *n3  - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3

             10   9   14     10   9   12   2        10   9   10   4
       + 2*m2  *n1 *n2   + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3

             10   9   8   6     10   7   16       10   7   14   2
       - 4*m2  *n1 *n2 *n3  + m2  *n1 *n2   + 9*m2  *n1 *n2  *n3

             10   7   12   4       10   7   10   6       10   5   16   2
       + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

              10   5   14   4       10   5   12   6       10   3   16   4
       + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   3   14   6      2   2        10   14   6   2
       + 4*m2  *n1 *n2  *n3 ) + u2 *v1 *(a33*m1  *n1  *n2 *n3

                 10   14   4   4           10   14   2   6
       - 4*a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

               10   12   8   2           10   12   6   4
       + a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

                 10   12   4   6         10   10   10   2
       + 4*a33*m1  *n1  *n2 *n3  - a33*m1  *n1  *n2  *n3

                 10   10   8   4           10   10   6   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               10   8   12   2           10   8   10   4
       - a33*m1  *n1 *n2  *n3  + 4*a33*m1  *n1 *n2  *n3

                 10   8   8   6         9      15   7
       - 4*a33*m1  *n1 *n2 *n3  + a33*m1 *m2*n1  *n2

                 9      15   5   2            9      15   3   4
       - 8*a33*m1 *m2*n1  *n2 *n3  + 16*a33*m1 *m2*n1  *n2 *n3

                 9      15      6           9      13   9
       - 8*a33*m1 *m2*n1  *n2*n3  + 2*a33*m1 *m2*n1  *n2

                 9      13   7   2           9      13   5   4
       - 6*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1  *n2 *n3

                  9      13   3   6            9      11   9   2
       + 24*a33*m1 *m2*n1  *n2 *n3  + 10*a33*m1 *m2*n1  *n2 *n3

                  9      11   7   4            9      11   5   6
       - 40*a33*m1 *m2*n1  *n2 *n3  + 40*a33*m1 *m2*n1  *n2 *n3

                 9      9   13           9      9   11   2
       - 2*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

                 9      9   9   4            9      9   7   6
       + 8*a33*m1 *m2*n1 *n2 *n3  - 24*a33*m1 *m2*n1 *n2 *n3

               9      7   15           9      7   13   2
       - a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

                  9      7   11   4            9      7   9   6
       + 24*a33*m1 *m2*n1 *n2  *n3  - 32*a33*m1 *m2*n1 *n2 *n3

                 8   2   16   6            8   2   16   4   2
       - 4*a33*m1 *m2 *n1  *n2  + 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   16   2   4           8   2   16   6
       - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

                 8   2   14   8            8   2   14   6   2
       - 3*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   14   4   4            8   2   14   2   6
       + 84*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   10            8   2   12   8   2
       + 10*a33*m1 *m2 *n1  *n2   - 63*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   6   4            8   2   12   4   6
       + 68*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1  *n2 *n3

                 8   2   10   12           8   2   10   10   2
       + 8*a33*m1 *m2 *n1  *n2   + 9*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   8   4             8   2   10   6   6
       - 140*a33*m1 *m2 *n1  *n2 *n3  + 172*a33*m1 *m2 *n1  *n2 *n3

                 8   2   8   14            8   2   8   12   2
       - 6*a33*m1 *m2 *n1 *n2   + 45*a33*m1 *m2 *n1 *n2  *n3

                  8   2   8   10   4            8   2   8   8   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2 *n3

                 8   2   6   16           8   2   6   14   2
       - 5*a33*m1 *m2 *n1 *n2   + 9*a33*m1 *m2 *n1 *n2  *n3

                  8   2   6   12   4             8   2   6   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                 7   3   17   5            7   3   17   3   2
       + 6*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2 *n3

                 7   3   17      4           7   3   15   7
       + 8*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

                  7   3   15   5   2             7   3   15   3   4
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15      6            7   3   13   9
       + 32*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                  7   3   13   7   2             7   3   13   5   4
       + 64*a33*m1 *m2 *n1  *n2 *n3  + 136*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   3   6           7   3   11   11
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                   7   3   11   9   2             7   3   11   7   4
       - 168*a33*m1 *m2 *n1  *n2 *n3  + 352*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   5   6            7   3   9   13
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 34*a33*m1 *m2 *n1 *n2

                  7   3   9   11   2             7   3   9   9   4
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

                   7   3   9   7   6            7   3   7   13   2
       + 416*a33*m1 *m2 *n1 *n2 *n3  + 88*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   11   4            7   3   5   17
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  7   3   5   15   2            7   3   5   13   4
       + 40*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   11   6           6   4   18   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1  *n2

                 6   4   18   2   2            6   4   16   6
       + 5*a33*m1 *m2 *n1  *n2 *n3  + 22*a33*m1 *m2 *n1  *n2

                  6   4   16   4   2            6   4   16   2   4
       - 87*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   8             6   4   14   6   2
       + 20*a33*m1 *m2 *n1  *n2  + 101*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   4   4             6   4   14   2   6
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   10             6   4   12   8   2
       - 62*a33*m1 *m2 *n1  *n2   + 305*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   6   4             6   4   12   4   6
       - 56*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  6   4   10   12             6   4   10   10   2
       - 36*a33*m1 *m2 *n1  *n2   - 151*a33*m1 *m2 *n1  *n2  *n3

                   6   4   10   8   4             6   4   10   6   6
       + 728*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  6   4   8   14             6   4   8   12   2
       + 50*a33*m1 *m2 *n1 *n2   - 283*a33*m1 *m2 *n1 *n2  *n3

                   6   4   8   8   6            6   4   6   16
       + 616*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  6   4   6   14   2             6   4   6   12   4
       + 45*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   10   6            6   4   4   18
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  6   4   4   16   2             6   4   4   12   6
       + 65*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

               5   5   19   3            5   5   17   5
       + a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                  5   5   17   3   2            5   5   15   7
       + 30*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   5   5   15   5   2             5   5   15   3   4
       - 186*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  5   5   13   9            5   5   13   7   2
       + 78*a33*m1 *m2 *n1  *n2  - 66*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   5   4             5   5   13   3   6
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                  5   5   11   11             5   5   11   9   2
       - 36*a33*m1 *m2 *n1  *n2   + 486*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   7   4             5   5   11   5   6
       - 504*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   5   9   13             5   5   9   11   2
       - 90*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   5   5   9   9   4             5   5   9   7   6
       + 784*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   15             5   5   7   13   2
       + 20*a33*m1 *m2 *n1 *n2   - 354*a33*m1 *m2 *n1 *n2  *n3

                   5   5   7   11   4             5   5   7   9   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   5   17            5   5   5   15   2
       + 30*a33*m1 *m2 *n1 *n2   - 66*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   13   4             5   5   5   11   6
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                 5   5   3   19            5   5   3   17   2
       - 5*a33*m1 *m2 *n1 *n2   + 54*a33*m1 *m2 *n1 *n2  *n3

                  5   5   3   15   4             5   5   3   13   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                 4   6   18   4            4   6   16   6
       + 5*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2

                  4   6   16   4   2            4   6   14   8
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   4   6   14   6   2             4   6   14   4   4
       - 185*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   12   10             4   6   12   8   2
       + 90*a33*m1 *m2 *n1  *n2   - 305*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   6   4             4   6   12   4   6
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   10   12             4   6   10   10   2
       + 36*a33*m1 *m2 *n1  *n2   + 347*a33*m1 *m2 *n1  *n2  *n3

                   4   6   10   8   4             4   6   10   6   6
       - 784*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  4   6   8   14             4   6   8   12   2
       - 78*a33*m1 *m2 *n1 *n2   + 339*a33*m1 *m2 *n1 *n2  *n3

                   4   6   8   10   4             4   6   8   8   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  4   6   6   16             4   6   6   14   2
       - 20*a33*m1 *m2 *n1 *n2   - 185*a33*m1 *m2 *n1 *n2  *n3

                   4   6   6   12   4             4   6   6   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

                  4   6   4   18             4   6   4   16   2
       + 18*a33*m1 *m2 *n1 *n2   - 109*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   14   4             4   6   4   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

               4   6   2   20            4   6   2   18   2
       - a33*m1 *m2 *n1 *n2   + 23*a33*m1 *m2 *n1 *n2  *n3

                  4   6   2   16   4             4   6   2   14   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                  3   7   17   5            3   7   15   7
       + 10*a33*m1 *m2 *n1  *n2  - 20*a33*m1 *m2 *n1  *n2

                   3   7   15   5   2            3   7   13   9
       + 100*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  3   7   13   7   2             3   7   13   5   4
       - 60*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  3   7   11   11             3   7   11   9   2
       + 36*a33*m1 *m2 *n1  *n2   - 332*a33*m1 *m2 *n1  *n2 *n3

                   3   7   11   5   6            3   7   9   13
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 62*a33*m1 *m2 *n1 *n2

                  3   7   9   11   2             3   7   9   9   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   15             3   7   7   13   2
       - 20*a33*m1 *m2 *n1 *n2   + 292*a33*m1 *m2 *n1 *n2  *n3

                  3   7   7   11   4             3   7   7   9   6
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 416*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   17           3   7   5   15   2
       - 22*a33*m1 *m2 *n1 *n2   + 4*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   13   4            3   7   5   11   6
       + 360*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   19            3   7   3   17   2
       + 4*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   15   4             3   7   3   13   6
       + 32*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   7      19   2            3   7      17   4
       + 4*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  3   7      15   6            2   8   16   6
       - 32*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  2   8   14   6   2            2   8   12   10
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 34*a33*m1 *m2 *n1  *n2

                  2   8   12   8   2             2   8   12   6   4
       + 39*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                 2   8   10   12             2   8   10   10   2
       - 8*a33*m1 *m2 *n1  *n2   - 165*a33*m1 *m2 *n1  *n2  *n3

                   2   8   10   8   4             2   8   10   6   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  2   8   8   14            2   8   8   12   2
       + 30*a33*m1 *m2 *n1 *n2   - 81*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   10   4            2   8   8   8   6
       - 264*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

                 2   8   6   16             2   8   6   14   2
       + 8*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   12   4             2   8   6   10   6
       - 148*a33*m1 *m2 *n1 *n2  *n3  - 172*a33*m1 *m2 *n1 *n2  *n3

                 2   8   4   18            2   8   4   16   2
       - 6*a33*m1 *m2 *n1 *n2   + 42*a33*m1 *m2 *n1 *n2  *n3

                   2   8   4   14   4            2   8   4   12   6
       + 100*a33*m1 *m2 *n1 *n2  *n3  - 44*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   18   2            2   8   2   16   4
       - 12*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   14   6           2   8   18   4
       + 60*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n2  *n3

                 2   8   16   6              9   15   7              9   13   9
       - 4*a33*m1 *m2 *n2  *n3  + 5*a33*m1*m2 *n1  *n2  + 6*a33*m1*m2 *n1  *n2

                     9   13   7   2              9   11   11
       + 30*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1  *n2

                     9   11   9   2               9   11   7   4
       + 38*a33*m1*m2 *n1  *n2 *n3  + 56*a33*m1*m2 *n1  *n2 *n3

                     9   9   13               9   9   11   2
       - 10*a33*m1*m2 *n1 *n2   - 34*a33*m1*m2 *n1 *n2  *n3

                     9   9   9   4               9   9   7   6
       + 64*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                    9   7   15               9   7   13   2
       + 3*a33*m1*m2 *n1 *n2   - 50*a33*m1*m2 *n1 *n2  *n3

                     9   7   11   4               9   7   9   6
       - 56*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2 *n3

                    9   5   17              9   5   15   2
       + 4*a33*m1*m2 *n1 *n2   + 4*a33*m1*m2 *n1 *n2  *n3

                     9   5   13   4               9   5   11   6
       - 72*a33*m1*m2 *n1 *n2  *n3  - 40*a33*m1*m2 *n1 *n2  *n3

                     9   3   17   2               9   3   13   6
       + 12*a33*m1*m2 *n1 *n2  *n3  - 24*a33*m1*m2 *n1 *n2  *n3

                    9      17   4              9      15   6         10   14   8
       + 8*a33*m1*m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1*n2  *n3  + a33*m2  *n1  *n2

                 10   12   10           10   12   8   2
       + 2*a33*m2  *n1  *n2   + 5*a33*m2  *n1  *n2 *n3

                 10   10   10   2           10   10   8   4
       + 9*a33*m2  *n1  *n2  *n3  + 8*a33*m2  *n1  *n2 *n3

                 10   8   14         10   8   12   2            10   8   10   4
       - 2*a33*m2  *n1 *n2   - a33*m2  *n1 *n2  *n3  + 12*a33*m2  *n1 *n2  *n3

                 10   8   8   6         10   6   16           10   6   14   2
       + 4*a33*m2  *n1 *n2 *n3  - a33*m2  *n1 *n2   - 9*a33*m2  *n1 *n2  *n3

                 10   6   12   4           10   6   10   6
       - 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3

                 10   4   16   2            10   4   14   4
       - 4*a33*m2  *n1 *n2  *n3  - 12*a33*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2  *n3

                 10   2   14   6      2   2        10   14   6   2
       - 4*a33*m2  *n1 *n2  *n3 ) + u2 *v3 *(a33*m1  *n1  *n2 *n3

                 10   14   4   4           10   14   2   6
       - 4*a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

               10   12   8   2           10   12   6   4
       + a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

                 10   12   4   6         10   10   10   2
       + 4*a33*m1  *n1  *n2 *n3  - a33*m1  *n1  *n2  *n3

                 10   10   8   4           10   10   6   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               10   8   12   2           10   8   10   4
       - a33*m1  *n1 *n2  *n3  + 4*a33*m1  *n1 *n2  *n3

                 10   8   8   6         9      15   7
       - 4*a33*m1  *n1 *n2 *n3  + a33*m1 *m2*n1  *n2

                 9      15   5   2            9      15   3   4
       - 8*a33*m1 *m2*n1  *n2 *n3  + 16*a33*m1 *m2*n1  *n2 *n3

                 9      15      6           9      13   9
       - 8*a33*m1 *m2*n1  *n2*n3  + 2*a33*m1 *m2*n1  *n2

                 9      13   7   2           9      13   5   4
       - 6*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1  *n2 *n3

                  9      13   3   6            9      11   9   2
       + 24*a33*m1 *m2*n1  *n2 *n3  + 10*a33*m1 *m2*n1  *n2 *n3

                  9      11   7   4            9      11   5   6
       - 40*a33*m1 *m2*n1  *n2 *n3  + 40*a33*m1 *m2*n1  *n2 *n3

                 9      9   13           9      9   11   2
       - 2*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

                 9      9   9   4            9      9   7   6
       + 8*a33*m1 *m2*n1 *n2 *n3  - 24*a33*m1 *m2*n1 *n2 *n3

               9      7   15           9      7   13   2
       - a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

                  9      7   11   4            9      7   9   6
       + 24*a33*m1 *m2*n1 *n2  *n3  - 32*a33*m1 *m2*n1 *n2 *n3

                 8   2   16   6            8   2   16   4   2
       - 4*a33*m1 *m2 *n1  *n2  + 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   16   2   4           8   2   16   6
       - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

                 8   2   14   8            8   2   14   6   2
       - 3*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   14   4   4            8   2   14   2   6
       + 84*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   10            8   2   12   8   2
       + 10*a33*m1 *m2 *n1  *n2   - 63*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   6   4            8   2   12   4   6
       + 68*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1  *n2 *n3

                 8   2   10   12           8   2   10   10   2
       + 8*a33*m1 *m2 *n1  *n2   + 9*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   8   4             8   2   10   6   6
       - 140*a33*m1 *m2 *n1  *n2 *n3  + 172*a33*m1 *m2 *n1  *n2 *n3

                 8   2   8   14            8   2   8   12   2
       - 6*a33*m1 *m2 *n1 *n2   + 45*a33*m1 *m2 *n1 *n2  *n3

                  8   2   8   10   4            8   2   8   8   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2 *n3

                 8   2   6   16           8   2   6   14   2
       - 5*a33*m1 *m2 *n1 *n2   + 9*a33*m1 *m2 *n1 *n2  *n3

                  8   2   6   12   4             8   2   6   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                 7   3   17   5            7   3   17   3   2
       + 6*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2 *n3

                 7   3   17      4           7   3   15   7
       + 8*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

                  7   3   15   5   2             7   3   15   3   4
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15      6            7   3   13   9
       + 32*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                  7   3   13   7   2             7   3   13   5   4
       + 64*a33*m1 *m2 *n1  *n2 *n3  + 136*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   3   6           7   3   11   11
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                   7   3   11   9   2             7   3   11   7   4
       - 168*a33*m1 *m2 *n1  *n2 *n3  + 352*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   5   6            7   3   9   13
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 34*a33*m1 *m2 *n1 *n2

                  7   3   9   11   2             7   3   9   9   4
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

                   7   3   9   7   6            7   3   7   13   2
       + 416*a33*m1 *m2 *n1 *n2 *n3  + 88*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   11   4            7   3   5   17
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  7   3   5   15   2            7   3   5   13   4
       + 40*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   11   6           6   4   18   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1  *n2

                 6   4   18   2   2            6   4   16   6
       + 5*a33*m1 *m2 *n1  *n2 *n3  + 22*a33*m1 *m2 *n1  *n2

                  6   4   16   4   2            6   4   16   2   4
       - 87*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   8             6   4   14   6   2
       + 20*a33*m1 *m2 *n1  *n2  + 101*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   4   4             6   4   14   2   6
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   10             6   4   12   8   2
       - 62*a33*m1 *m2 *n1  *n2   + 305*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   6   4             6   4   12   4   6
       - 56*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  6   4   10   12             6   4   10   10   2
       - 36*a33*m1 *m2 *n1  *n2   - 151*a33*m1 *m2 *n1  *n2  *n3

                   6   4   10   8   4             6   4   10   6   6
       + 728*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  6   4   8   14             6   4   8   12   2
       + 50*a33*m1 *m2 *n1 *n2   - 283*a33*m1 *m2 *n1 *n2  *n3

                   6   4   8   8   6            6   4   6   16
       + 616*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  6   4   6   14   2             6   4   6   12   4
       + 45*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   10   6            6   4   4   18
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  6   4   4   16   2             6   4   4   12   6
       + 65*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

               5   5   19   3            5   5   17   5
       + a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                  5   5   17   3   2            5   5   15   7
       + 30*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   5   5   15   5   2             5   5   15   3   4
       - 186*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  5   5   13   9            5   5   13   7   2
       + 78*a33*m1 *m2 *n1  *n2  - 66*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   5   4             5   5   13   3   6
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                  5   5   11   11             5   5   11   9   2
       - 36*a33*m1 *m2 *n1  *n2   + 486*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   7   4             5   5   11   5   6
       - 504*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   5   9   13             5   5   9   11   2
       - 90*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   5   5   9   9   4             5   5   9   7   6
       + 784*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   15             5   5   7   13   2
       + 20*a33*m1 *m2 *n1 *n2   - 354*a33*m1 *m2 *n1 *n2  *n3

                   5   5   7   11   4             5   5   7   9   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   5   17            5   5   5   15   2
       + 30*a33*m1 *m2 *n1 *n2   - 66*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   13   4             5   5   5   11   6
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                 5   5   3   19            5   5   3   17   2
       - 5*a33*m1 *m2 *n1 *n2   + 54*a33*m1 *m2 *n1 *n2  *n3

                  5   5   3   15   4             5   5   3   13   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                 4   6   18   4            4   6   16   6
       + 5*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2

                  4   6   16   4   2            4   6   14   8
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   4   6   14   6   2             4   6   14   4   4
       - 185*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   12   10             4   6   12   8   2
       + 90*a33*m1 *m2 *n1  *n2   - 305*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   6   4             4   6   12   4   6
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   10   12             4   6   10   10   2
       + 36*a33*m1 *m2 *n1  *n2   + 347*a33*m1 *m2 *n1  *n2  *n3

                   4   6   10   8   4             4   6   10   6   6
       - 784*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  4   6   8   14             4   6   8   12   2
       - 78*a33*m1 *m2 *n1 *n2   + 339*a33*m1 *m2 *n1 *n2  *n3

                   4   6   8   10   4             4   6   8   8   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  4   6   6   16             4   6   6   14   2
       - 20*a33*m1 *m2 *n1 *n2   - 185*a33*m1 *m2 *n1 *n2  *n3

                   4   6   6   12   4             4   6   6   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

                  4   6   4   18             4   6   4   16   2
       + 18*a33*m1 *m2 *n1 *n2   - 109*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   14   4             4   6   4   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

               4   6   2   20            4   6   2   18   2
       - a33*m1 *m2 *n1 *n2   + 23*a33*m1 *m2 *n1 *n2  *n3

                  4   6   2   16   4             4   6   2   14   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                  3   7   17   5            3   7   15   7
       + 10*a33*m1 *m2 *n1  *n2  - 20*a33*m1 *m2 *n1  *n2

                   3   7   15   5   2            3   7   13   9
       + 100*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  3   7   13   7   2             3   7   13   5   4
       - 60*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  3   7   11   11             3   7   11   9   2
       + 36*a33*m1 *m2 *n1  *n2   - 332*a33*m1 *m2 *n1  *n2 *n3

                   3   7   11   5   6            3   7   9   13
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 62*a33*m1 *m2 *n1 *n2

                  3   7   9   11   2             3   7   9   9   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   15             3   7   7   13   2
       - 20*a33*m1 *m2 *n1 *n2   + 292*a33*m1 *m2 *n1 *n2  *n3

                  3   7   7   11   4             3   7   7   9   6
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 416*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   17           3   7   5   15   2
       - 22*a33*m1 *m2 *n1 *n2   + 4*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   13   4            3   7   5   11   6
       + 360*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   19            3   7   3   17   2
       + 4*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   15   4             3   7   3   13   6
       + 32*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   7      19   2            3   7      17   4
       + 4*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  3   7      15   6            2   8   16   6
       - 32*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  2   8   14   6   2            2   8   12   10
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 34*a33*m1 *m2 *n1  *n2

                  2   8   12   8   2             2   8   12   6   4
       + 39*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                 2   8   10   12             2   8   10   10   2
       - 8*a33*m1 *m2 *n1  *n2   - 165*a33*m1 *m2 *n1  *n2  *n3

                   2   8   10   8   4             2   8   10   6   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  2   8   8   14            2   8   8   12   2
       + 30*a33*m1 *m2 *n1 *n2   - 81*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   10   4            2   8   8   8   6
       - 264*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

                 2   8   6   16             2   8   6   14   2
       + 8*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   12   4             2   8   6   10   6
       - 148*a33*m1 *m2 *n1 *n2  *n3  - 172*a33*m1 *m2 *n1 *n2  *n3

                 2   8   4   18            2   8   4   16   2
       - 6*a33*m1 *m2 *n1 *n2   + 42*a33*m1 *m2 *n1 *n2  *n3

                   2   8   4   14   4            2   8   4   12   6
       + 100*a33*m1 *m2 *n1 *n2  *n3  - 44*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   18   2            2   8   2   16   4
       - 12*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   14   6           2   8   18   4
       + 60*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n2  *n3

                 2   8   16   6              9   15   7              9   13   9
       - 4*a33*m1 *m2 *n2  *n3  + 5*a33*m1*m2 *n1  *n2  + 6*a33*m1*m2 *n1  *n2

                     9   13   7   2              9   11   11
       + 30*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1  *n2

                     9   11   9   2               9   11   7   4
       + 38*a33*m1*m2 *n1  *n2 *n3  + 56*a33*m1*m2 *n1  *n2 *n3

                     9   9   13               9   9   11   2
       - 10*a33*m1*m2 *n1 *n2   - 34*a33*m1*m2 *n1 *n2  *n3

                     9   9   9   4               9   9   7   6
       + 64*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                    9   7   15               9   7   13   2
       + 3*a33*m1*m2 *n1 *n2   - 50*a33*m1*m2 *n1 *n2  *n3

                     9   7   11   4               9   7   9   6
       - 56*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2 *n3

                    9   5   17              9   5   15   2
       + 4*a33*m1*m2 *n1 *n2   + 4*a33*m1*m2 *n1 *n2  *n3

                     9   5   13   4               9   5   11   6
       - 72*a33*m1*m2 *n1 *n2  *n3  - 40*a33*m1*m2 *n1 *n2  *n3

                     9   3   17   2               9   3   13   6
       + 12*a33*m1*m2 *n1 *n2  *n3  - 24*a33*m1*m2 *n1 *n2  *n3

                    9      17   4              9      15   6         10   14   8
       + 8*a33*m1*m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1*n2  *n3  + a33*m2  *n1  *n2

                 10   12   10           10   12   8   2
       + 2*a33*m2  *n1  *n2   + 5*a33*m2  *n1  *n2 *n3

                 10   10   10   2           10   10   8   4
       + 9*a33*m2  *n1  *n2  *n3  + 8*a33*m2  *n1  *n2 *n3

                 10   8   14         10   8   12   2            10   8   10   4
       - 2*a33*m2  *n1 *n2   - a33*m2  *n1 *n2  *n3  + 12*a33*m2  *n1 *n2  *n3

                 10   8   8   6         10   6   16           10   6   14   2
       + 4*a33*m2  *n1 *n2 *n3  - a33*m2  *n1 *n2   - 9*a33*m2  *n1 *n2  *n3

                 10   6   12   4           10   6   10   6
       - 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3

                 10   4   16   2            10   4   14   4
       - 4*a33*m2  *n1 *n2  *n3  - 12*a33*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2  *n3

                 10   2   14   6         3          11   12   7   2
       - 4*a33*m2  *n1 *n2  *n3 ) + u2*v1 *(2*a33*m1  *n1  *n2 *n3

                 11   12   5   4           11   12   3   6
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 11   8   11   2           11   8   9   4
       - 2*a33*m1  *n1 *n2  *n3  + 8*a33*m1  *n1 *n2 *n3

                 11   8   7   6           10      13   8
       - 8*a33*m1  *n1 *n2 *n3  + 2*a33*m1  *m2*n1  *n2

                  10      13   6   2            10      13   4   4
       - 18*a33*m1  *m2*n1  *n2 *n3  + 40*a33*m1  *m2*n1  *n2 *n3

                  10      13   2   6           10      11   10
       - 24*a33*m1  *m2*n1  *n2 *n3  + 2*a33*m1  *m2*n1  *n2

                 10      11   8   2            10      11   6   4
       + 4*a33*m1  *m2*n1  *n2 *n3  - 48*a33*m1  *m2*n1  *n2 *n3

                  10      11   4   6           10      9   12
       + 64*a33*m1  *m2*n1  *n2 *n3  - 2*a33*m1  *m2*n1 *n2

                  10      9   10   2            10      9   8   4
       + 18*a33*m1  *m2*n1 *n2  *n3  - 40*a33*m1  *m2*n1 *n2 *n3

                  10      9   6   6           10      7   14
       + 24*a33*m1  *m2*n1 *n2 *n3  - 2*a33*m1  *m2*n1 *n2

                 10      7   12   2            10      7   10   4
       - 4*a33*m1  *m2*n1 *n2  *n3  + 48*a33*m1  *m2*n1 *n2  *n3

                  10      7   8   6            9   2   14   7
       - 64*a33*m1  *m2*n1 *n2 *n3  - 10*a33*m1 *m2 *n1  *n2

                  9   2   14   5   2            9   2   14   3   4
       + 52*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2 *n3

                  9   2   14      6            9   2   12   7   2
       + 24*a33*m1 *m2 *n1  *n2*n3  - 76*a33*m1 *m2 *n1  *n2 *n3

                   9   2   12   5   4             9   2   12   3   6
       + 256*a33*m1 *m2 *n1  *n2 *n3  - 192*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   11            9   2   10   9   2
       + 20*a33*m1 *m2 *n1  *n2   - 70*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   7   4             9   2   10   5   6
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 200*a33*m1 *m2 *n1  *n2 *n3

                  9   2   8   11   2             9   2   8   9   4
       + 76*a33*m1 *m2 *n1 *n2  *n3  - 256*a33*m1 *m2 *n1 *n2 *n3

                   9   2   8   7   6            9   2   6   15
       + 192*a33*m1 *m2 *n1 *n2 *n3  - 10*a33*m1 *m2 *n1 *n2

                  9   2   6   13   2             9   2   6   11   4
       + 18*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   9   2   6   9   6            8   3   15   6
       - 224*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                  8   3   15   4   2            8   3   15   2   4
       - 68*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                 8   3   15   6            8   3   13   8
       - 8*a33*m1 *m2 *n1  *n3  - 30*a33*m1 *m2 *n1  *n2

                   8   3   13   6   2             8   3   13   4   4
       + 264*a33*m1 *m2 *n1  *n2 *n3  - 480*a33*m1 *m2 *n1  *n2 *n3

                   8   3   13   2   6            8   3   11   10
       + 192*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  8   3   11   8   2             8   3   11   6   4
       - 10*a33*m1 *m2 *n1  *n2 *n3  + 616*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   4   6            8   3   9   12
       - 664*a33*m1 *m2 *n1  *n2 *n3  + 50*a33*m1 *m2 *n1 *n2

                   8   3   9   10   2             8   3   9   8   4
       - 344*a33*m1 *m2 *n1 *n2  *n3  + 368*a33*m1 *m2 *n1 *n2 *n3

                   8   3   9   6   6            8   3   7   14
       + 256*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2

                  8   3   7   12   2             8   3   7   10   4
       + 78*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2  *n3

                   8   3   7   8   6            8   3   5   16
       + 672*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                  8   3   5   14   2             8   3   5   12   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   8   3   5   10   6            7   4   16   5
       - 448*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2

                  7   4   16   3   2            7   4   16      4
       + 42*a33*m1 *m2 *n1  *n2 *n3  - 16*a33*m1 *m2 *n1  *n2*n3

                  7   4   14   7             7   4   14   5   2
       + 80*a33*m1 *m2 *n1  *n2  - 376*a33*m1 *m2 *n1  *n2 *n3

                   7   4   14   3   4            7   4   14      6
       + 384*a33*m1 *m2 *n1  *n2 *n3  - 64*a33*m1 *m2 *n1  *n2*n3

                  7   4   12   9             7   4   12   7   2
       + 20*a33*m1 *m2 *n1  *n2  + 450*a33*m1 *m2 *n1  *n2 *n3

                    7   4   12   5   4             7   4   12   3   6
       - 1328*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   11             7   4   10   9   2
       - 160*a33*m1 *m2 *n1  *n2   + 496*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   7   4              7   4   10   5   6
       + 512*a33*m1 *m2 *n1  *n2 *n3  - 1280*a33*m1 *m2 *n1  *n2 *n3

                  7   4   8   13             7   4   8   11   2
       + 20*a33*m1 *m2 *n1 *n2   - 622*a33*m1 *m2 *n1 *n2  *n3

                    7   4   8   9   4             7   4   8   7   6
       + 1344*a33*m1 *m2 *n1 *n2 *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

                  7   4   6   15             7   4   6   13   2
       + 80*a33*m1 *m2 *n1 *n2   - 120*a33*m1 *m2 *n1 *n2  *n3

                   7   4   6   11   4              7   4   6   9   6
       - 896*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                  7   4   4   17             7   4   4   15   2
       - 20*a33*m1 *m2 *n1 *n2   + 130*a33*m1 *m2 *n1 *n2  *n3

                   7   4   4   11   6            6   5   17   4
       - 560*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  6   5   17   2   2            6   5   15   6
       - 10*a33*m1 *m2 *n1  *n2 *n3  - 90*a33*m1 *m2 *n1  *n2

                   6   5   15   4   2             6   5   15   2   4
       + 244*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   5   13   8             6   5   13   6   2
       + 90*a33*m1 *m2 *n1  *n2  - 818*a33*m1 *m2 *n1  *n2 *n3

                    6   5   13   4   4             6   5   13   2   6
       + 1120*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                   6   5   11   10            6   5   11   8   2
       + 190*a33*m1 *m2 *n1  *n2   + 76*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   6   4              6   5   11   4   6
       - 1904*a33*m1 *m2 *n1  *n2 *n3  + 1344*a33*m1 *m2 *n1  *n2 *n3

                   6   5   9   12              6   5   9   10   2
       - 190*a33*m1 *m2 *n1 *n2   + 1198*a33*m1 *m2 *n1 *n2  *n3

                   6   5   9   8   4              6   5   9   6   6
       - 560*a33*m1 *m2 *n1 *n2 *n3  - 1456*a33*m1 *m2 *n1 *n2 *n3

                  6   5   7   14             6   5   7   12   2
       - 90*a33*m1 *m2 *n1 *n2   - 428*a33*m1 *m2 *n1 *n2  *n3

                    6   5   7   10   4             6   5   7   8   6
       + 2128*a33*m1 *m2 *n1 *n2  *n3  - 896*a33*m1 *m2 *n1 *n2 *n3

                  6   5   5   16             6   5   5   14   2
       + 90*a33*m1 *m2 *n1 *n2   - 370*a33*m1 *m2 *n1 *n2  *n3

                   6   5   5   12   4              6   5   5   10   6
       - 560*a33*m1 *m2 *n1 *n2  *n3  + 1680*a33*m1 *m2 *n1 *n2  *n3

                  6   5   3   18             6   5   3   16   2
       - 10*a33*m1 *m2 *n1 *n2   + 108*a33*m1 *m2 *n1 *n2  *n3

                   6   5   3   14   4             6   5   3   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                 5   6   18   3            5   6   16   5
       - 2*a33*m1 *m2 *n1  *n2  + 48*a33*m1 *m2 *n1  *n2

                  5   6   16   3   2             5   6   14   7
       - 60*a33*m1 *m2 *n1  *n2 *n3  - 148*a33*m1 *m2 *n1  *n2

                   5   6   14   5   2             5   6   14   3   4
       + 582*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   6   12   9             5   6   12   7   2
       - 48*a33*m1 *m2 *n1  *n2  - 820*a33*m1 *m2 *n1  *n2 *n3

                    5   6   12   5   4             5   6   12   3   6
       + 1792*a33*m1 *m2 *n1  *n2 *n3  - 448*a33*m1 *m2 *n1  *n2 *n3

                   5   6   10   11             5   6   10   9   2
       + 300*a33*m1 *m2 *n1  *n2   - 762*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   7   4              5   6   10   5   6
       - 1344*a33*m1 *m2 *n1  *n2 *n3  + 1680*a33*m1 *m2 *n1  *n2 *n3

                  5   6   8   13              5   6   8   11   2
       - 48*a33*m1 *m2 *n1 *n2   + 1252*a33*m1 *m2 *n1 *n2  *n3

                    5   6   8   9   4             5   6   8   7   6
       - 1792*a33*m1 *m2 *n1 *n2 *n3  - 896*a33*m1 *m2 *n1 *n2 *n3

                   5   6   6   15             5   6   6   13   2
       - 148*a33*m1 *m2 *n1 *n2   + 134*a33*m1 *m2 *n1 *n2  *n3

                    5   6   6   11   4              5   6   6   9   6
       + 1792*a33*m1 *m2 *n1 *n2  *n3  - 1456*a33*m1 *m2 *n1 *n2 *n3

                  5   6   4   17             5   6   4   15   2
       + 48*a33*m1 *m2 *n1 *n2   - 372*a33*m1 *m2 *n1 *n2  *n3

                    5   6   4   11   6           5   6   2   19
       + 1344*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1 *n2

                  5   6   2   17   2             5   6   2   15   4
       + 46*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   5   6   2   13   6            4   7   17   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                  4   7   15   6             4   7   15   4   2
       + 90*a33*m1 *m2 *n1  *n2  - 150*a33*m1 *m2 *n1  *n2 *n3

                  4   7   13   8             4   7   13   6   2
       - 90*a33*m1 *m2 *n1  *n2  + 720*a33*m1 *m2 *n1  *n2 *n3

                   4   7   13   4   4             4   7   11   10
       - 560*a33*m1 *m2 *n1  *n2 *n3  - 190*a33*m1 *m2 *n1  *n2

                   4   7   11   8   2              4   7   11   6   4
       - 230*a33*m1 *m2 *n1  *n2 *n3  + 1680*a33*m1 *m2 *n1  *n2 *n3

                   4   7   11   4   6             4   7   9   12
       - 560*a33*m1 *m2 *n1  *n2 *n3  + 190*a33*m1 *m2 *n1 *n2

                    4   7   9   10   2             4   7   9   8   4
       - 1128*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

                    4   7   9   6   6            4   7   7   14
       + 1344*a33*m1 *m2 *n1 *n2 *n3  + 90*a33*m1 *m2 *n1 *n2

                   4   7   7   12   2              4   7   7   10   4
       + 554*a33*m1 *m2 *n1 *n2  *n3  - 1904*a33*m1 *m2 *n1 *n2  *n3

                   4   7   7   8   6            4   7   5   16
       - 112*a33*m1 *m2 *n1 *n2 *n3  - 90*a33*m1 *m2 *n1 *n2

                   4   7   5   14   2             4   7   5   12   4
       + 400*a33*m1 *m2 *n1 *n2  *n3  + 720*a33*m1 *m2 *n1 *n2  *n3

                    4   7   5   10   6            4   7   3   18
       - 1280*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1 *n2

                   4   7   3   16   2             4   7   3   14   4
       - 174*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   4   7   3   12   6           4   7      18   2
       + 672*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                  4   7      16   4            4   7      14   6
       - 48*a33*m1 *m2 *n1*n2  *n3  - 64*a33*m1 *m2 *n1*n2  *n3

                  3   8   16   5            3   8   14   7
       - 20*a33*m1 *m2 *n1  *n2  + 80*a33*m1 *m2 *n1  *n2

                   3   8   14   5   2            3   8   12   9
       - 200*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   3   8   12   7   2             3   8   12   5   4
       + 470*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   11             3   8   10   9   2
       - 160*a33*m1 *m2 *n1  *n2   + 272*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   7   4             3   8   10   5   6
       + 896*a33*m1 *m2 *n1  *n2 *n3  - 448*a33*m1 *m2 *n1  *n2 *n3

                  3   8   8   13             3   8   8   11   2
       + 20*a33*m1 *m2 *n1 *n2   - 706*a33*m1 *m2 *n1 *n2  *n3

                   3   8   8   9   4             3   8   8   7   6
       + 560*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  3   8   6   15            3   8   6   13   2
       + 80*a33*m1 *m2 *n1 *n2   - 40*a33*m1 *m2 *n1 *n2  *n3

                    3   8   6   11   4             3   8   6   9   6
       - 1024*a33*m1 *m2 *n1 *n2  *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                  3   8   4   17             3   8   4   15   2
       - 20*a33*m1 *m2 *n1 *n2   + 236*a33*m1 *m2 *n1 *n2  *n3

                 3   8   4   13   4             3   8   4   11   6
       + 8*a33*m1 *m2 *n1 *n2  *n3  - 664*a33*m1 *m2 *n1 *n2  *n3

                  3   8   2   17   2             3   8   2   15   4
       - 32*a33*m1 *m2 *n1 *n2  *n3  + 128*a33*m1 *m2 *n1 *n2  *n3

                   3   8   2   13   6           3   8   17   4
       + 192*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                 3   8   15   6            2   9   15   6
       - 8*a33*m1 *m2 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2

                  2   9   13   8             2   9   13   6   2
       + 30*a33*m1 *m2 *n1  *n2  - 150*a33*m1 *m2 *n1  *n2 *n3

                  2   9   11   10             2   9   11   8   2
       + 50*a33*m1 *m2 *n1  *n2   + 132*a33*m1 *m2 *n1  *n2 *n3

                   2   9   11   6   4            2   9   9   12
       - 336*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1 *n2

                   2   9   9   10   2             2   9   9   8   4
       + 274*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   2   9   9   6   6            2   9   7   14
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                   2   9   7   12   2             2   9   7   10   4
       - 180*a33*m1 *m2 *n1 *n2  *n3  + 432*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   8   6            2   9   5   16
       + 192*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                   2   9   5   14   2             2   9   5   12   4
       - 124*a33*m1 *m2 *n1 *n2  *n3  - 248*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   10   6            2   9   3   16   2
       + 200*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

                  2   9   3   14   4             2   9   3   12   6
       - 96*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2  *n3

                  2   9      16   4            2   9      14   6
       + 24*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                     10   14   7               10   12   7   2
       - 10*a33*m1*m2  *n1  *n2  - 60*a33*m1*m2  *n1  *n2 *n3

                     10   10   11              10   10   9   2
       + 20*a33*m1*m2  *n1  *n2   - 6*a33*m1*m2  *n1  *n2 *n3

                      10   10   7   4               10   8   11   2
       - 112*a33*m1*m2  *n1  *n2 *n3  + 92*a33*m1*m2  *n1 *n2  *n3

                     10   8   7   6               10   6   15
       - 64*a33*m1*m2  *n1 *n2 *n3  - 10*a33*m1*m2  *n1 *n2

                    10   6   13   2                10   6   11   4
       + 6*a33*m1*m2  *n1 *n2  *n3  + 136*a33*m1*m2  *n1 *n2  *n3

                     10   6   9   6               10   4   15   2
       + 24*a33*m1*m2  *n1 *n2 *n3  - 32*a33*m1*m2  *n1 *n2  *n3

                     10   4   11   6               10   2   15   4
       + 64*a33*m1*m2  *n1 *n2  *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                     10   2   13   6           11   13   8
       - 24*a33*m1*m2  *n1 *n2  *n3  - 2*a33*m2  *n1  *n2

                 11   11   10            11   11   8   2           11   9   12
       - 2*a33*m2  *n1  *n2   - 10*a33*m2  *n1  *n2 *n3  + 2*a33*m2  *n1 *n2

                 11   9   10   2            11   9   8   4           11   7   14
       - 8*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2 *n3  + 2*a33*m2  *n1 *n2

                  11   7   12   2           11   7   10   4
       + 10*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                 11   7   8   6           11   5   14   2
       - 8*a33*m2  *n1 *n2 *n3  + 8*a33*m2  *n1 *n2  *n3

                  11   5   12   4           11   3   14   4
       + 16*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   3   12   6         2       10   14   7   2
       + 8*a33*m2  *n1 *n2  *n3 ) + u2*v1 *( - m1  *n1  *n2 *n3

             10   14   5   4       10   14   3   6     10   12   9   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1  *n2 *n3

             10   12   7   4       10   12   5   6     10   10   11   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + m1  *n1  *n2  *n3

             10   10   9   4       10   10   7   6     10   8   13   2
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3

             10   8   11   4       10   8   9   6     9      15   8
       - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2

             9      15   6   2        9      15   4   4       9      15   2   6
       + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

             9      13   10       9      13   8   2       9      13   6   4
       - 2*m1 *m2*n1  *n2   + 6*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

              9      13   4   6        9      11   10   2
       - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2  *n3

              9      11   8   4        9      11   6   6       9      9   14
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1 *n2

             9      9   12   2       9      9   10   4        9      9   8   6
       - 6*m1 *m2*n1 *n2  *n3  - 8*m1 *m2*n1 *n2  *n3  + 24*m1 *m2*n1 *n2 *n3

           9      7   16       9      7   14   2        9      7   12   4
       + m1 *m2*n1 *n2   + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      7   10   6       8   2   16   7        8   2   16   5   2
       + 32*m1 *m2*n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 18*m1 *m2 *n1  *n2 *n3

              8   2   16   3   4       8   2   16      6       8   2   14   9
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n2*n3  + 3*m1 *m2 *n1  *n2

              8   2   14   7   2        8   2   14   5   4
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   14   3   6        8   2   12   11
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2

              8   2   12   9   2        8   2   12   7   4
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   12   5   6       8   2   10   13       8   2   10   11   2
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2   - 9*m1 *m2 *n1  *n2  *n3

               8   2   10   9   4         8   2   10   7   6
       + 140*m1 *m2 *n1  *n2 *n3  - 172*m1 *m2 *n1  *n2 *n3

             8   2   8   15        8   2   8   13   2        8   2   8   11   4
       + 6*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   8   9   6       8   2   6   17       8   2   6   15   2
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2   - 9*m1 *m2 *n1 *n2  *n3

              8   2   6   13   4         8   2   6   11   6       7   3   17   6
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1  *n2

              7   3   17   4   2       7   3   17   2   4       7   3   15   8
       + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2

              7   3   15   6   2         7   3   15   4   4
       - 80*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   3   15   2   6        7   3   13   10
       - 32*m1 *m2 *n1  *n2 *n3  + 30*m1 *m2 *n1  *n2

              7   3   13   8   2         7   3   13   6   4
       - 64*m1 *m2 *n1  *n2 *n3  - 136*m1 *m2 *n1  *n2 *n3

               7   3   13   4   6       7   3   11   12
       + 192*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2

               7   3   11   10   2         7   3   11   8   4
       + 168*m1 *m2 *n1  *n2  *n3  - 352*m1 *m2 *n1  *n2 *n3

              7   3   11   6   6        7   3   9   14        7   3   9   12   2
       + 32*m1 *m2 *n1  *n2 *n3  - 34*m1 *m2 *n1 *n2   + 88*m1 *m2 *n1 *n2  *n3

               7   3   9   10   4         7   3   9   8   6
       + 200*m1 *m2 *n1 *n2  *n3  - 416*m1 *m2 *n1 *n2 *n3

              7   3   7   14   2         7   3   7   12   4
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   5   18        7   3   5   16   2        7   3   5   14   4
       + 10*m1 *m2 *n1 *n2   - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               7   3   5   12   6       6   4   18   5       6   4   18   3   2
       + 224*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 5*m1 *m2 *n1  *n2 *n3

              6   4   16   7        6   4   16   5   2        6   4   16   3   4
       - 22*m1 *m2 *n1  *n2  + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   14   9         6   4   14   7   2
       - 20*m1 *m2 *n1  *n2  - 101*m1 *m2 *n1  *n2 *n3

               6   4   14   5   4         6   4   14   3   6
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   12   11         6   4   12   9   2
       + 62*m1 *m2 *n1  *n2   - 305*m1 *m2 *n1  *n2 *n3

              6   4   12   7   4         6   4   12   5   6
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   10   13         6   4   10   11   2
       + 36*m1 *m2 *n1  *n2   + 151*m1 *m2 *n1  *n2  *n3

               6   4   10   9   4         6   4   10   7   6
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   8   15         6   4   8   13   2
       - 50*m1 *m2 *n1 *n2   + 283*m1 *m2 *n1 *n2  *n3

               6   4   8   9   6        6   4   6   17        6   4   6   15   2
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3

               6   4   6   13   4         6   4   6   11   6
       + 392*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

              6   4   4   19        6   4   4   17   2
       + 10*m1 *m2 *n1 *n2   - 65*m1 *m2 *n1 *n2  *n3

               6   4   4   13   6     5   5   19   4        5   5   17   6
       + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2

              5   5   17   4   2        5   5   15   8
       - 30*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2

               5   5   15   6   2         5   5   15   4   4
       + 186*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              5   5   13   10        5   5   13   8   2
       - 78*m1 *m2 *n1  *n2   + 66*m1 *m2 *n1  *n2 *n3

               5   5   13   6   4         5   5   13   4   6
       + 448*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              5   5   11   12         5   5   11   10   2
       + 36*m1 *m2 *n1  *n2   - 486*m1 *m2 *n1  *n2  *n3

               5   5   11   8   4         5   5   11   6   6
       + 504*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              5   5   9   14         5   5   9   12   2
       + 90*m1 *m2 *n1 *n2   - 102*m1 *m2 *n1 *n2  *n3

               5   5   9   10   4         5   5   9   8   6
       - 784*m1 *m2 *n1 *n2  *n3  + 560*m1 *m2 *n1 *n2 *n3

              5   5   7   16         5   5   7   14   2
       - 20*m1 *m2 *n1 *n2   + 354*m1 *m2 *n1 *n2  *n3

               5   5   7   12   4         5   5   7   10   6
       - 392*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2  *n3

              5   5   5   18        5   5   5   16   2
       - 30*m1 *m2 *n1 *n2   + 66*m1 *m2 *n1 *n2  *n3

               5   5   5   14   4         5   5   5   12   6
       + 336*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3

             5   5   3   20        5   5   3   18   2        5   5   3   16   4
       + 5*m1 *m2 *n1 *n2   - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   3   14   6       4   6   18   5        4   6   16   7
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2

              4   6   16   5   2        4   6   14   9
       - 75*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2

               4   6   14   7   2         4   6   14   5   4
       + 185*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   12   11         4   6   12   9   2
       - 90*m1 *m2 *n1  *n2   + 305*m1 *m2 *n1  *n2 *n3

               4   6   12   7   4         4   6   12   5   6
       + 280*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   10   13         4   6   10   11   2
       - 36*m1 *m2 *n1  *n2   - 347*m1 *m2 *n1  *n2  *n3

               4   6   10   9   4         4   6   10   7   6
       + 784*m1 *m2 *n1  *n2 *n3  + 168*m1 *m2 *n1  *n2 *n3

              4   6   8   15         4   6   8   13   2
       + 78*m1 *m2 *n1 *n2   - 339*m1 *m2 *n1 *n2  *n3

               4   6   8   11   4         4   6   8   9   6
       - 392*m1 *m2 *n1 *n2  *n3  + 616*m1 *m2 *n1 *n2 *n3

              4   6   6   17         4   6   6   15   2
       + 20*m1 *m2 *n1 *n2   + 185*m1 *m2 *n1 *n2  *n3

               4   6   6   13   4         4   6   6   11   6
       - 560*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              4   6   4   19         4   6   4   17   2
       - 18*m1 *m2 *n1 *n2   + 109*m1 *m2 *n1 *n2  *n3

               4   6   4   15   4         4   6   4   13   6     4   6   2   21
       + 112*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2

              4   6   2   19   2        4   6   2   17   4
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   2   15   6        3   7   17   6        3   7   15   8
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 20*m1 *m2 *n1  *n2

               3   7   15   6   2        3   7   13   10
       - 100*m1 *m2 *n1  *n2 *n3  + 50*m1 *m2 *n1  *n2

              3   7   13   8   2         3   7   13   6   4
       + 60*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              3   7   11   12         3   7   11   10   2
       - 36*m1 *m2 *n1  *n2   + 332*m1 *m2 *n1  *n2  *n3

               3   7   11   6   6        3   7   9   14
       - 224*m1 *m2 *n1  *n2 *n3  - 62*m1 *m2 *n1 *n2

              3   7   9   12   2         3   7   9   10   4
       - 52*m1 *m2 *n1 *n2  *n3  + 616*m1 *m2 *n1 *n2  *n3

              3   7   7   16         3   7   7   14   2
       + 20*m1 *m2 *n1 *n2   - 292*m1 *m2 *n1 *n2  *n3

              3   7   7   12   4         3   7   7   10   6
       + 32*m1 *m2 *n1 *n2  *n3  + 416*m1 *m2 *n1 *n2  *n3

              3   7   5   18       3   7   5   16   2         3   7   5   14   4
       + 22*m1 *m2 *n1 *n2   - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   5   12   6       3   7   3   20        3   7   3   18   2
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2   + 60*m1 *m2 *n1 *n2  *n3

              3   7   3   16   4         3   7   3   14   6
       - 32*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2  *n3

             3   7      20   2        3   7      18   4        3   7      16   6
       - 4*m1 *m2 *n1*n2  *n3  + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   8   16   7        2   8   14   7   2        2   8   12   11
       - 10*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3  + 34*m1 *m2 *n1  *n2

              2   8   12   9   2         2   8   12   7   4
       - 39*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

             2   8   10   13         2   8   10   11   2
       + 8*m1 *m2 *n1  *n2   + 165*m1 *m2 *n1  *n2  *n3

               2   8   10   9   4         2   8   10   7   6
       - 112*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              2   8   8   15        2   8   8   13   2
       - 30*m1 *m2 *n1 *n2   + 81*m1 *m2 *n1 *n2  *n3

               2   8   8   11   4        2   8   8   9   6       2   8   6   17
       + 264*m1 *m2 *n1 *n2  *n3  - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2

               2   8   6   15   2         2   8   6   13   4
       - 102*m1 *m2 *n1 *n2  *n3  + 148*m1 *m2 *n1 *n2  *n3

               2   8   6   11   6       2   8   4   19        2   8   4   17   2
       + 172*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1 *n2   - 42*m1 *m2 *n1 *n2  *n3

               2   8   4   15   4        2   8   4   13   6
       - 100*m1 *m2 *n1 *n2  *n3  + 44*m1 *m2 *n1 *n2  *n3

              2   8   2   19   2        2   8   2   17   4
       + 12*m1 *m2 *n1 *n2  *n3  - 36*m1 *m2 *n1 *n2  *n3

              2   8   2   15   6       2   8   19   4       2   8   17   6
       - 60*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3  + 4*m1 *m2 *n2  *n3

                9   15   8          9   13   10           9   13   8   2
       - 5*m1*m2 *n1  *n2  - 6*m1*m2 *n1  *n2   - 30*m1*m2 *n1  *n2 *n3

                9   11   12           9   11   10   2           9   11   8   4
       + 8*m1*m2 *n1  *n2   - 38*m1*m2 *n1  *n2  *n3  - 56*m1*m2 *n1  *n2 *n3

                 9   9   14           9   9   12   2           9   9   10   4
       + 10*m1*m2 *n1 *n2   + 34*m1*m2 *n1 *n2  *n3  - 64*m1*m2 *n1 *n2  *n3

                 9   9   8   6          9   7   16           9   7   14   2
       - 32*m1*m2 *n1 *n2 *n3  - 3*m1*m2 *n1 *n2   + 50*m1*m2 *n1 *n2  *n3

                 9   7   12   4           9   7   10   6          9   5   18
       + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2  *n3  - 4*m1*m2 *n1 *n2

                9   5   16   2           9   5   14   4           9   5   12   6
       - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3  + 40*m1*m2 *n1 *n2  *n3

                 9   3   18   2           9   3   14   6          9      18   4
       - 12*m1*m2 *n1 *n2  *n3  + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1*n2  *n3

                9      16   6     10   14   9       10   12   11
       - 8*m1*m2 *n1*n2  *n3  - m2  *n1  *n2  - 2*m2  *n1  *n2

             10   12   9   2       10   10   11   2       10   10   9   4
       - 5*m2  *n1  *n2 *n3  - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3

             10   8   15     10   8   13   2        10   8   11   4
       + 2*m2  *n1 *n2   + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3

             10   8   9   6     10   6   17       10   6   15   2
       - 4*m2  *n1 *n2 *n3  + m2  *n1 *n2   + 9*m2  *n1 *n2  *n3

             10   6   13   4       10   6   11   6       10   4   17   2
       + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

              10   4   15   4       10   4   13   6       10   2   17   4
       + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   2   15   6            2          11   12   7   2
       + 4*m2  *n1 *n2  *n3 ) + u2*v1*v3 *(2*a33*m1  *n1  *n2 *n3

                 11   12   5   4           11   12   3   6
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 11   8   11   2           11   8   9   4
       - 2*a33*m1  *n1 *n2  *n3  + 8*a33*m1  *n1 *n2 *n3

                 11   8   7   6           10      13   8
       - 8*a33*m1  *n1 *n2 *n3  + 2*a33*m1  *m2*n1  *n2

                  10      13   6   2            10      13   4   4
       - 18*a33*m1  *m2*n1  *n2 *n3  + 40*a33*m1  *m2*n1  *n2 *n3

                  10      13   2   6           10      11   10
       - 24*a33*m1  *m2*n1  *n2 *n3  + 2*a33*m1  *m2*n1  *n2

                 10      11   8   2            10      11   6   4
       + 4*a33*m1  *m2*n1  *n2 *n3  - 48*a33*m1  *m2*n1  *n2 *n3

                  10      11   4   6           10      9   12
       + 64*a33*m1  *m2*n1  *n2 *n3  - 2*a33*m1  *m2*n1 *n2

                  10      9   10   2            10      9   8   4
       + 18*a33*m1  *m2*n1 *n2  *n3  - 40*a33*m1  *m2*n1 *n2 *n3

                  10      9   6   6           10      7   14
       + 24*a33*m1  *m2*n1 *n2 *n3  - 2*a33*m1  *m2*n1 *n2

                 10      7   12   2            10      7   10   4
       - 4*a33*m1  *m2*n1 *n2  *n3  + 48*a33*m1  *m2*n1 *n2  *n3

                  10      7   8   6            9   2   14   7
       - 64*a33*m1  *m2*n1 *n2 *n3  - 10*a33*m1 *m2 *n1  *n2

                  9   2   14   5   2            9   2   14   3   4
       + 52*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2 *n3

                  9   2   14      6            9   2   12   7   2
       + 24*a33*m1 *m2 *n1  *n2*n3  - 76*a33*m1 *m2 *n1  *n2 *n3

                   9   2   12   5   4             9   2   12   3   6
       + 256*a33*m1 *m2 *n1  *n2 *n3  - 192*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   11            9   2   10   9   2
       + 20*a33*m1 *m2 *n1  *n2   - 70*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   7   4             9   2   10   5   6
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 200*a33*m1 *m2 *n1  *n2 *n3

                  9   2   8   11   2             9   2   8   9   4
       + 76*a33*m1 *m2 *n1 *n2  *n3  - 256*a33*m1 *m2 *n1 *n2 *n3

                   9   2   8   7   6            9   2   6   15
       + 192*a33*m1 *m2 *n1 *n2 *n3  - 10*a33*m1 *m2 *n1 *n2

                  9   2   6   13   2             9   2   6   11   4
       + 18*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   9   2   6   9   6            8   3   15   6
       - 224*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                  8   3   15   4   2            8   3   15   2   4
       - 68*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                 8   3   15   6            8   3   13   8
       - 8*a33*m1 *m2 *n1  *n3  - 30*a33*m1 *m2 *n1  *n2

                   8   3   13   6   2             8   3   13   4   4
       + 264*a33*m1 *m2 *n1  *n2 *n3  - 480*a33*m1 *m2 *n1  *n2 *n3

                   8   3   13   2   6            8   3   11   10
       + 192*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  8   3   11   8   2             8   3   11   6   4
       - 10*a33*m1 *m2 *n1  *n2 *n3  + 616*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   4   6            8   3   9   12
       - 664*a33*m1 *m2 *n1  *n2 *n3  + 50*a33*m1 *m2 *n1 *n2

                   8   3   9   10   2             8   3   9   8   4
       - 344*a33*m1 *m2 *n1 *n2  *n3  + 368*a33*m1 *m2 *n1 *n2 *n3

                   8   3   9   6   6            8   3   7   14
       + 256*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2

                  8   3   7   12   2             8   3   7   10   4
       + 78*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2  *n3

                   8   3   7   8   6            8   3   5   16
       + 672*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                  8   3   5   14   2             8   3   5   12   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   8   3   5   10   6            7   4   16   5
       - 448*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2

                  7   4   16   3   2            7   4   16      4
       + 42*a33*m1 *m2 *n1  *n2 *n3  - 16*a33*m1 *m2 *n1  *n2*n3

                  7   4   14   7             7   4   14   5   2
       + 80*a33*m1 *m2 *n1  *n2  - 376*a33*m1 *m2 *n1  *n2 *n3

                   7   4   14   3   4            7   4   14      6
       + 384*a33*m1 *m2 *n1  *n2 *n3  - 64*a33*m1 *m2 *n1  *n2*n3

                  7   4   12   9             7   4   12   7   2
       + 20*a33*m1 *m2 *n1  *n2  + 450*a33*m1 *m2 *n1  *n2 *n3

                    7   4   12   5   4             7   4   12   3   6
       - 1328*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   11             7   4   10   9   2
       - 160*a33*m1 *m2 *n1  *n2   + 496*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   7   4              7   4   10   5   6
       + 512*a33*m1 *m2 *n1  *n2 *n3  - 1280*a33*m1 *m2 *n1  *n2 *n3

                  7   4   8   13             7   4   8   11   2
       + 20*a33*m1 *m2 *n1 *n2   - 622*a33*m1 *m2 *n1 *n2  *n3

                    7   4   8   9   4             7   4   8   7   6
       + 1344*a33*m1 *m2 *n1 *n2 *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

                  7   4   6   15             7   4   6   13   2
       + 80*a33*m1 *m2 *n1 *n2   - 120*a33*m1 *m2 *n1 *n2  *n3

                   7   4   6   11   4              7   4   6   9   6
       - 896*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                  7   4   4   17             7   4   4   15   2
       - 20*a33*m1 *m2 *n1 *n2   + 130*a33*m1 *m2 *n1 *n2  *n3

                   7   4   4   11   6            6   5   17   4
       - 560*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  6   5   17   2   2            6   5   15   6
       - 10*a33*m1 *m2 *n1  *n2 *n3  - 90*a33*m1 *m2 *n1  *n2

                   6   5   15   4   2             6   5   15   2   4
       + 244*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   5   13   8             6   5   13   6   2
       + 90*a33*m1 *m2 *n1  *n2  - 818*a33*m1 *m2 *n1  *n2 *n3

                    6   5   13   4   4             6   5   13   2   6
       + 1120*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                   6   5   11   10            6   5   11   8   2
       + 190*a33*m1 *m2 *n1  *n2   + 76*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   6   4              6   5   11   4   6
       - 1904*a33*m1 *m2 *n1  *n2 *n3  + 1344*a33*m1 *m2 *n1  *n2 *n3

                   6   5   9   12              6   5   9   10   2
       - 190*a33*m1 *m2 *n1 *n2   + 1198*a33*m1 *m2 *n1 *n2  *n3

                   6   5   9   8   4              6   5   9   6   6
       - 560*a33*m1 *m2 *n1 *n2 *n3  - 1456*a33*m1 *m2 *n1 *n2 *n3

                  6   5   7   14             6   5   7   12   2
       - 90*a33*m1 *m2 *n1 *n2   - 428*a33*m1 *m2 *n1 *n2  *n3

                    6   5   7   10   4             6   5   7   8   6
       + 2128*a33*m1 *m2 *n1 *n2  *n3  - 896*a33*m1 *m2 *n1 *n2 *n3

                  6   5   5   16             6   5   5   14   2
       + 90*a33*m1 *m2 *n1 *n2   - 370*a33*m1 *m2 *n1 *n2  *n3

                   6   5   5   12   4              6   5   5   10   6
       - 560*a33*m1 *m2 *n1 *n2  *n3  + 1680*a33*m1 *m2 *n1 *n2  *n3

                  6   5   3   18             6   5   3   16   2
       - 10*a33*m1 *m2 *n1 *n2   + 108*a33*m1 *m2 *n1 *n2  *n3

                   6   5   3   14   4             6   5   3   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                 5   6   18   3            5   6   16   5
       - 2*a33*m1 *m2 *n1  *n2  + 48*a33*m1 *m2 *n1  *n2

                  5   6   16   3   2             5   6   14   7
       - 60*a33*m1 *m2 *n1  *n2 *n3  - 148*a33*m1 *m2 *n1  *n2

                   5   6   14   5   2             5   6   14   3   4
       + 582*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   6   12   9             5   6   12   7   2
       - 48*a33*m1 *m2 *n1  *n2  - 820*a33*m1 *m2 *n1  *n2 *n3

                    5   6   12   5   4             5   6   12   3   6
       + 1792*a33*m1 *m2 *n1  *n2 *n3  - 448*a33*m1 *m2 *n1  *n2 *n3

                   5   6   10   11             5   6   10   9   2
       + 300*a33*m1 *m2 *n1  *n2   - 762*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   7   4              5   6   10   5   6
       - 1344*a33*m1 *m2 *n1  *n2 *n3  + 1680*a33*m1 *m2 *n1  *n2 *n3

                  5   6   8   13              5   6   8   11   2
       - 48*a33*m1 *m2 *n1 *n2   + 1252*a33*m1 *m2 *n1 *n2  *n3

                    5   6   8   9   4             5   6   8   7   6
       - 1792*a33*m1 *m2 *n1 *n2 *n3  - 896*a33*m1 *m2 *n1 *n2 *n3

                   5   6   6   15             5   6   6   13   2
       - 148*a33*m1 *m2 *n1 *n2   + 134*a33*m1 *m2 *n1 *n2  *n3

                    5   6   6   11   4              5   6   6   9   6
       + 1792*a33*m1 *m2 *n1 *n2  *n3  - 1456*a33*m1 *m2 *n1 *n2 *n3

                  5   6   4   17             5   6   4   15   2
       + 48*a33*m1 *m2 *n1 *n2   - 372*a33*m1 *m2 *n1 *n2  *n3

                    5   6   4   11   6           5   6   2   19
       + 1344*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1 *n2

                  5   6   2   17   2             5   6   2   15   4
       + 46*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   5   6   2   13   6            4   7   17   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                  4   7   15   6             4   7   15   4   2
       + 90*a33*m1 *m2 *n1  *n2  - 150*a33*m1 *m2 *n1  *n2 *n3

                  4   7   13   8             4   7   13   6   2
       - 90*a33*m1 *m2 *n1  *n2  + 720*a33*m1 *m2 *n1  *n2 *n3

                   4   7   13   4   4             4   7   11   10
       - 560*a33*m1 *m2 *n1  *n2 *n3  - 190*a33*m1 *m2 *n1  *n2

                   4   7   11   8   2              4   7   11   6   4
       - 230*a33*m1 *m2 *n1  *n2 *n3  + 1680*a33*m1 *m2 *n1  *n2 *n3

                   4   7   11   4   6             4   7   9   12
       - 560*a33*m1 *m2 *n1  *n2 *n3  + 190*a33*m1 *m2 *n1 *n2

                    4   7   9   10   2             4   7   9   8   4
       - 1128*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

                    4   7   9   6   6            4   7   7   14
       + 1344*a33*m1 *m2 *n1 *n2 *n3  + 90*a33*m1 *m2 *n1 *n2

                   4   7   7   12   2              4   7   7   10   4
       + 554*a33*m1 *m2 *n1 *n2  *n3  - 1904*a33*m1 *m2 *n1 *n2  *n3

                   4   7   7   8   6            4   7   5   16
       - 112*a33*m1 *m2 *n1 *n2 *n3  - 90*a33*m1 *m2 *n1 *n2

                   4   7   5   14   2             4   7   5   12   4
       + 400*a33*m1 *m2 *n1 *n2  *n3  + 720*a33*m1 *m2 *n1 *n2  *n3

                    4   7   5   10   6            4   7   3   18
       - 1280*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1 *n2

                   4   7   3   16   2             4   7   3   14   4
       - 174*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   4   7   3   12   6           4   7      18   2
       + 672*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                  4   7      16   4            4   7      14   6
       - 48*a33*m1 *m2 *n1*n2  *n3  - 64*a33*m1 *m2 *n1*n2  *n3

                  3   8   16   5            3   8   14   7
       - 20*a33*m1 *m2 *n1  *n2  + 80*a33*m1 *m2 *n1  *n2

                   3   8   14   5   2            3   8   12   9
       - 200*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   3   8   12   7   2             3   8   12   5   4
       + 470*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   11             3   8   10   9   2
       - 160*a33*m1 *m2 *n1  *n2   + 272*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   7   4             3   8   10   5   6
       + 896*a33*m1 *m2 *n1  *n2 *n3  - 448*a33*m1 *m2 *n1  *n2 *n3

                  3   8   8   13             3   8   8   11   2
       + 20*a33*m1 *m2 *n1 *n2   - 706*a33*m1 *m2 *n1 *n2  *n3

                   3   8   8   9   4             3   8   8   7   6
       + 560*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  3   8   6   15            3   8   6   13   2
       + 80*a33*m1 *m2 *n1 *n2   - 40*a33*m1 *m2 *n1 *n2  *n3

                    3   8   6   11   4             3   8   6   9   6
       - 1024*a33*m1 *m2 *n1 *n2  *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                  3   8   4   17             3   8   4   15   2
       - 20*a33*m1 *m2 *n1 *n2   + 236*a33*m1 *m2 *n1 *n2  *n3

                 3   8   4   13   4             3   8   4   11   6
       + 8*a33*m1 *m2 *n1 *n2  *n3  - 664*a33*m1 *m2 *n1 *n2  *n3

                  3   8   2   17   2             3   8   2   15   4
       - 32*a33*m1 *m2 *n1 *n2  *n3  + 128*a33*m1 *m2 *n1 *n2  *n3

                   3   8   2   13   6           3   8   17   4
       + 192*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                 3   8   15   6            2   9   15   6
       - 8*a33*m1 *m2 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2

                  2   9   13   8             2   9   13   6   2
       + 30*a33*m1 *m2 *n1  *n2  - 150*a33*m1 *m2 *n1  *n2 *n3

                  2   9   11   10             2   9   11   8   2
       + 50*a33*m1 *m2 *n1  *n2   + 132*a33*m1 *m2 *n1  *n2 *n3

                   2   9   11   6   4            2   9   9   12
       - 336*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1 *n2

                   2   9   9   10   2             2   9   9   8   4
       + 274*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   2   9   9   6   6            2   9   7   14
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                   2   9   7   12   2             2   9   7   10   4
       - 180*a33*m1 *m2 *n1 *n2  *n3  + 432*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   8   6            2   9   5   16
       + 192*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                   2   9   5   14   2             2   9   5   12   4
       - 124*a33*m1 *m2 *n1 *n2  *n3  - 248*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   10   6            2   9   3   16   2
       + 200*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

                  2   9   3   14   4             2   9   3   12   6
       - 96*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2  *n3

                  2   9      16   4            2   9      14   6
       + 24*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                     10   14   7               10   12   7   2
       - 10*a33*m1*m2  *n1  *n2  - 60*a33*m1*m2  *n1  *n2 *n3

                     10   10   11              10   10   9   2
       + 20*a33*m1*m2  *n1  *n2   - 6*a33*m1*m2  *n1  *n2 *n3

                      10   10   7   4               10   8   11   2
       - 112*a33*m1*m2  *n1  *n2 *n3  + 92*a33*m1*m2  *n1 *n2  *n3

                     10   8   7   6               10   6   15
       - 64*a33*m1*m2  *n1 *n2 *n3  - 10*a33*m1*m2  *n1 *n2

                    10   6   13   2                10   6   11   4
       + 6*a33*m1*m2  *n1 *n2  *n3  + 136*a33*m1*m2  *n1 *n2  *n3

                     10   6   9   6               10   4   15   2
       + 24*a33*m1*m2  *n1 *n2 *n3  - 32*a33*m1*m2  *n1 *n2  *n3

                     10   4   11   6               10   2   15   4
       + 64*a33*m1*m2  *n1 *n2  *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                     10   2   13   6           11   13   8
       - 24*a33*m1*m2  *n1 *n2  *n3  - 2*a33*m2  *n1  *n2

                 11   11   10            11   11   8   2           11   9   12
       - 2*a33*m2  *n1  *n2   - 10*a33*m2  *n1  *n2 *n3  + 2*a33*m2  *n1 *n2

                 11   9   10   2            11   9   8   4           11   7   14
       - 8*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2 *n3  + 2*a33*m2  *n1 *n2

                  11   7   12   2           11   7   10   4
       + 10*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                 11   7   8   6           11   5   14   2
       - 8*a33*m2  *n1 *n2 *n3  + 8*a33*m2  *n1 *n2  *n3

                  11   5   12   4           11   3   14   4
       + 16*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   3   12   6         2       10   14   7   2
       + 8*a33*m2  *n1 *n2  *n3 ) + u2*v3 *( - m1  *n1  *n2 *n3

             10   14   5   4       10   14   3   6     10   12   9   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1  *n2 *n3

             10   12   7   4       10   12   5   6     10   10   11   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + m1  *n1  *n2  *n3

             10   10   9   4       10   10   7   6     10   8   13   2
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3

             10   8   11   4       10   8   9   6     9      15   8
       - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2

             9      15   6   2        9      15   4   4       9      15   2   6
       + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

             9      13   10       9      13   8   2       9      13   6   4
       - 2*m1 *m2*n1  *n2   + 6*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

              9      13   4   6        9      11   10   2
       - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2  *n3

              9      11   8   4        9      11   6   6       9      9   14
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1 *n2

             9      9   12   2       9      9   10   4        9      9   8   6
       - 6*m1 *m2*n1 *n2  *n3  - 8*m1 *m2*n1 *n2  *n3  + 24*m1 *m2*n1 *n2 *n3

           9      7   16       9      7   14   2        9      7   12   4
       + m1 *m2*n1 *n2   + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      7   10   6       8   2   16   7        8   2   16   5   2
       + 32*m1 *m2*n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 18*m1 *m2 *n1  *n2 *n3

              8   2   16   3   4       8   2   16      6       8   2   14   9
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n2*n3  + 3*m1 *m2 *n1  *n2

              8   2   14   7   2        8   2   14   5   4
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   14   3   6        8   2   12   11
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2

              8   2   12   9   2        8   2   12   7   4
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   12   5   6       8   2   10   13       8   2   10   11   2
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2   - 9*m1 *m2 *n1  *n2  *n3

               8   2   10   9   4         8   2   10   7   6
       + 140*m1 *m2 *n1  *n2 *n3  - 172*m1 *m2 *n1  *n2 *n3

             8   2   8   15        8   2   8   13   2        8   2   8   11   4
       + 6*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   8   9   6       8   2   6   17       8   2   6   15   2
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2   - 9*m1 *m2 *n1 *n2  *n3

              8   2   6   13   4         8   2   6   11   6       7   3   17   6
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1  *n2

              7   3   17   4   2       7   3   17   2   4       7   3   15   8
       + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2

              7   3   15   6   2         7   3   15   4   4
       - 80*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   3   15   2   6        7   3   13   10
       - 32*m1 *m2 *n1  *n2 *n3  + 30*m1 *m2 *n1  *n2

              7   3   13   8   2         7   3   13   6   4
       - 64*m1 *m2 *n1  *n2 *n3  - 136*m1 *m2 *n1  *n2 *n3

               7   3   13   4   6       7   3   11   12
       + 192*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2

               7   3   11   10   2         7   3   11   8   4
       + 168*m1 *m2 *n1  *n2  *n3  - 352*m1 *m2 *n1  *n2 *n3

              7   3   11   6   6        7   3   9   14        7   3   9   12   2
       + 32*m1 *m2 *n1  *n2 *n3  - 34*m1 *m2 *n1 *n2   + 88*m1 *m2 *n1 *n2  *n3

               7   3   9   10   4         7   3   9   8   6
       + 200*m1 *m2 *n1 *n2  *n3  - 416*m1 *m2 *n1 *n2 *n3

              7   3   7   14   2         7   3   7   12   4
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   5   18        7   3   5   16   2        7   3   5   14   4
       + 10*m1 *m2 *n1 *n2   - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               7   3   5   12   6       6   4   18   5       6   4   18   3   2
       + 224*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1  *n2  - 5*m1 *m2 *n1  *n2 *n3

              6   4   16   7        6   4   16   5   2        6   4   16   3   4
       - 22*m1 *m2 *n1  *n2  + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   14   9         6   4   14   7   2
       - 20*m1 *m2 *n1  *n2  - 101*m1 *m2 *n1  *n2 *n3

               6   4   14   5   4         6   4   14   3   6
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   12   11         6   4   12   9   2
       + 62*m1 *m2 *n1  *n2   - 305*m1 *m2 *n1  *n2 *n3

              6   4   12   7   4         6   4   12   5   6
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   10   13         6   4   10   11   2
       + 36*m1 *m2 *n1  *n2   + 151*m1 *m2 *n1  *n2  *n3

               6   4   10   9   4         6   4   10   7   6
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   8   15         6   4   8   13   2
       - 50*m1 *m2 *n1 *n2   + 283*m1 *m2 *n1 *n2  *n3

               6   4   8   9   6        6   4   6   17        6   4   6   15   2
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2   - 45*m1 *m2 *n1 *n2  *n3

               6   4   6   13   4         6   4   6   11   6
       + 392*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

              6   4   4   19        6   4   4   17   2
       + 10*m1 *m2 *n1 *n2   - 65*m1 *m2 *n1 *n2  *n3

               6   4   4   13   6     5   5   19   4        5   5   17   6
       + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2

              5   5   17   4   2        5   5   15   8
       - 30*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2

               5   5   15   6   2         5   5   15   4   4
       + 186*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              5   5   13   10        5   5   13   8   2
       - 78*m1 *m2 *n1  *n2   + 66*m1 *m2 *n1  *n2 *n3

               5   5   13   6   4         5   5   13   4   6
       + 448*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              5   5   11   12         5   5   11   10   2
       + 36*m1 *m2 *n1  *n2   - 486*m1 *m2 *n1  *n2  *n3

               5   5   11   8   4         5   5   11   6   6
       + 504*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              5   5   9   14         5   5   9   12   2
       + 90*m1 *m2 *n1 *n2   - 102*m1 *m2 *n1 *n2  *n3

               5   5   9   10   4         5   5   9   8   6
       - 784*m1 *m2 *n1 *n2  *n3  + 560*m1 *m2 *n1 *n2 *n3

              5   5   7   16         5   5   7   14   2
       - 20*m1 *m2 *n1 *n2   + 354*m1 *m2 *n1 *n2  *n3

               5   5   7   12   4         5   5   7   10   6
       - 392*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2  *n3

              5   5   5   18        5   5   5   16   2
       - 30*m1 *m2 *n1 *n2   + 66*m1 *m2 *n1 *n2  *n3

               5   5   5   14   4         5   5   5   12   6
       + 336*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3

             5   5   3   20        5   5   3   18   2        5   5   3   16   4
       + 5*m1 *m2 *n1 *n2   - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   3   14   6       4   6   18   5        4   6   16   7
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2

              4   6   16   5   2        4   6   14   9
       - 75*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2

               4   6   14   7   2         4   6   14   5   4
       + 185*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   12   11         4   6   12   9   2
       - 90*m1 *m2 *n1  *n2   + 305*m1 *m2 *n1  *n2 *n3

               4   6   12   7   4         4   6   12   5   6
       + 280*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   6   10   13         4   6   10   11   2
       - 36*m1 *m2 *n1  *n2   - 347*m1 *m2 *n1  *n2  *n3

               4   6   10   9   4         4   6   10   7   6
       + 784*m1 *m2 *n1  *n2 *n3  + 168*m1 *m2 *n1  *n2 *n3

              4   6   8   15         4   6   8   13   2
       + 78*m1 *m2 *n1 *n2   - 339*m1 *m2 *n1 *n2  *n3

               4   6   8   11   4         4   6   8   9   6
       - 392*m1 *m2 *n1 *n2  *n3  + 616*m1 *m2 *n1 *n2 *n3

              4   6   6   17         4   6   6   15   2
       + 20*m1 *m2 *n1 *n2   + 185*m1 *m2 *n1 *n2  *n3

               4   6   6   13   4         4   6   6   11   6
       - 560*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              4   6   4   19         4   6   4   17   2
       - 18*m1 *m2 *n1 *n2   + 109*m1 *m2 *n1 *n2  *n3

               4   6   4   15   4         4   6   4   13   6     4   6   2   21
       + 112*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2

              4   6   2   19   2        4   6   2   17   4
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   2   15   6        3   7   17   6        3   7   15   8
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 20*m1 *m2 *n1  *n2

               3   7   15   6   2        3   7   13   10
       - 100*m1 *m2 *n1  *n2 *n3  + 50*m1 *m2 *n1  *n2

              3   7   13   8   2         3   7   13   6   4
       + 60*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              3   7   11   12         3   7   11   10   2
       - 36*m1 *m2 *n1  *n2   + 332*m1 *m2 *n1  *n2  *n3

               3   7   11   6   6        3   7   9   14
       - 224*m1 *m2 *n1  *n2 *n3  - 62*m1 *m2 *n1 *n2

              3   7   9   12   2         3   7   9   10   4
       - 52*m1 *m2 *n1 *n2  *n3  + 616*m1 *m2 *n1 *n2  *n3

              3   7   7   16         3   7   7   14   2
       + 20*m1 *m2 *n1 *n2   - 292*m1 *m2 *n1 *n2  *n3

              3   7   7   12   4         3   7   7   10   6
       + 32*m1 *m2 *n1 *n2  *n3  + 416*m1 *m2 *n1 *n2  *n3

              3   7   5   18       3   7   5   16   2         3   7   5   14   4
       + 22*m1 *m2 *n1 *n2   - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   5   12   6       3   7   3   20        3   7   3   18   2
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2   + 60*m1 *m2 *n1 *n2  *n3

              3   7   3   16   4         3   7   3   14   6
       - 32*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2  *n3

             3   7      20   2        3   7      18   4        3   7      16   6
       - 4*m1 *m2 *n1*n2  *n3  + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   8   16   7        2   8   14   7   2        2   8   12   11
       - 10*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3  + 34*m1 *m2 *n1  *n2

              2   8   12   9   2         2   8   12   7   4
       - 39*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

             2   8   10   13         2   8   10   11   2
       + 8*m1 *m2 *n1  *n2   + 165*m1 *m2 *n1  *n2  *n3

               2   8   10   9   4         2   8   10   7   6
       - 112*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              2   8   8   15        2   8   8   13   2
       - 30*m1 *m2 *n1 *n2   + 81*m1 *m2 *n1 *n2  *n3

               2   8   8   11   4        2   8   8   9   6       2   8   6   17
       + 264*m1 *m2 *n1 *n2  *n3  - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2

               2   8   6   15   2         2   8   6   13   4
       - 102*m1 *m2 *n1 *n2  *n3  + 148*m1 *m2 *n1 *n2  *n3

               2   8   6   11   6       2   8   4   19        2   8   4   17   2
       + 172*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1 *n2   - 42*m1 *m2 *n1 *n2  *n3

               2   8   4   15   4        2   8   4   13   6
       - 100*m1 *m2 *n1 *n2  *n3  + 44*m1 *m2 *n1 *n2  *n3

              2   8   2   19   2        2   8   2   17   4
       + 12*m1 *m2 *n1 *n2  *n3  - 36*m1 *m2 *n1 *n2  *n3

              2   8   2   15   6       2   8   19   4       2   8   17   6
       - 60*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3  + 4*m1 *m2 *n2  *n3

                9   15   8          9   13   10           9   13   8   2
       - 5*m1*m2 *n1  *n2  - 6*m1*m2 *n1  *n2   - 30*m1*m2 *n1  *n2 *n3

                9   11   12           9   11   10   2           9   11   8   4
       + 8*m1*m2 *n1  *n2   - 38*m1*m2 *n1  *n2  *n3  - 56*m1*m2 *n1  *n2 *n3

                 9   9   14           9   9   12   2           9   9   10   4
       + 10*m1*m2 *n1 *n2   + 34*m1*m2 *n1 *n2  *n3  - 64*m1*m2 *n1 *n2  *n3

                 9   9   8   6          9   7   16           9   7   14   2
       - 32*m1*m2 *n1 *n2 *n3  - 3*m1*m2 *n1 *n2   + 50*m1*m2 *n1 *n2  *n3

                 9   7   12   4           9   7   10   6          9   5   18
       + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2  *n3  - 4*m1*m2 *n1 *n2

                9   5   16   2           9   5   14   4           9   5   12   6
       - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3  + 40*m1*m2 *n1 *n2  *n3

                 9   3   18   2           9   3   14   6          9      18   4
       - 12*m1*m2 *n1 *n2  *n3  + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1*n2  *n3

                9      16   6     10   14   9       10   12   11
       - 8*m1*m2 *n1*n2  *n3  - m2  *n1  *n2  - 2*m2  *n1  *n2

             10   12   9   2       10   10   11   2       10   10   9   4
       - 5*m2  *n1  *n2 *n3  - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3

             10   8   15     10   8   13   2        10   8   11   4
       + 2*m2  *n1 *n2   + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3

             10   8   9   6     10   6   17       10   6   15   2
       - 4*m2  *n1 *n2 *n3  + m2  *n1 *n2   + 9*m2  *n1 *n2  *n3

             10   6   13   4       10   6   11   6       10   4   17   2
       + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

              10   4   15   4       10   4   13   6       10   2   17   4
       + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   2   15   6      2   2        10   14   6   2
       + 4*m2  *n1 *n2  *n3 ) + u3 *v3 *(a33*m1  *n1  *n2 *n3

                 10   14   4   4           10   14   2   6
       - 4*a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

               10   12   8   2           10   12   6   4
       + a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

                 10   12   4   6         10   10   10   2
       + 4*a33*m1  *n1  *n2 *n3  - a33*m1  *n1  *n2  *n3

                 10   10   8   4           10   10   6   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               10   8   12   2           10   8   10   4
       - a33*m1  *n1 *n2  *n3  + 4*a33*m1  *n1 *n2  *n3

                 10   8   8   6         9      15   7
       - 4*a33*m1  *n1 *n2 *n3  + a33*m1 *m2*n1  *n2

                 9      15   5   2            9      15   3   4
       - 8*a33*m1 *m2*n1  *n2 *n3  + 16*a33*m1 *m2*n1  *n2 *n3

                 9      15      6           9      13   9
       - 8*a33*m1 *m2*n1  *n2*n3  + 2*a33*m1 *m2*n1  *n2

                 9      13   7   2           9      13   5   4
       - 6*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1  *n2 *n3

                  9      13   3   6            9      11   9   2
       + 24*a33*m1 *m2*n1  *n2 *n3  + 10*a33*m1 *m2*n1  *n2 *n3

                  9      11   7   4            9      11   5   6
       - 40*a33*m1 *m2*n1  *n2 *n3  + 40*a33*m1 *m2*n1  *n2 *n3

                 9      9   13           9      9   11   2
       - 2*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

                 9      9   9   4            9      9   7   6
       + 8*a33*m1 *m2*n1 *n2 *n3  - 24*a33*m1 *m2*n1 *n2 *n3

               9      7   15           9      7   13   2
       - a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

                  9      7   11   4            9      7   9   6
       + 24*a33*m1 *m2*n1 *n2  *n3  - 32*a33*m1 *m2*n1 *n2 *n3

                 8   2   16   6            8   2   16   4   2
       - 4*a33*m1 *m2 *n1  *n2  + 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   16   2   4           8   2   16   6
       - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

                 8   2   14   8            8   2   14   6   2
       - 3*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   14   4   4            8   2   14   2   6
       + 84*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   10            8   2   12   8   2
       + 10*a33*m1 *m2 *n1  *n2   - 63*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   6   4            8   2   12   4   6
       + 68*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1  *n2 *n3

                 8   2   10   12           8   2   10   10   2
       + 8*a33*m1 *m2 *n1  *n2   + 9*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   8   4             8   2   10   6   6
       - 140*a33*m1 *m2 *n1  *n2 *n3  + 172*a33*m1 *m2 *n1  *n2 *n3

                 8   2   8   14            8   2   8   12   2
       - 6*a33*m1 *m2 *n1 *n2   + 45*a33*m1 *m2 *n1 *n2  *n3

                  8   2   8   10   4            8   2   8   8   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2 *n3

                 8   2   6   16           8   2   6   14   2
       - 5*a33*m1 *m2 *n1 *n2   + 9*a33*m1 *m2 *n1 *n2  *n3

                  8   2   6   12   4             8   2   6   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                 7   3   17   5            7   3   17   3   2
       + 6*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2 *n3

                 7   3   17      4           7   3   15   7
       + 8*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

                  7   3   15   5   2             7   3   15   3   4
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15      6            7   3   13   9
       + 32*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                  7   3   13   7   2             7   3   13   5   4
       + 64*a33*m1 *m2 *n1  *n2 *n3  + 136*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   3   6           7   3   11   11
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                   7   3   11   9   2             7   3   11   7   4
       - 168*a33*m1 *m2 *n1  *n2 *n3  + 352*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   5   6            7   3   9   13
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 34*a33*m1 *m2 *n1 *n2

                  7   3   9   11   2             7   3   9   9   4
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

                   7   3   9   7   6            7   3   7   13   2
       + 416*a33*m1 *m2 *n1 *n2 *n3  + 88*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   11   4            7   3   5   17
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  7   3   5   15   2            7   3   5   13   4
       + 40*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   11   6           6   4   18   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1  *n2

                 6   4   18   2   2            6   4   16   6
       + 5*a33*m1 *m2 *n1  *n2 *n3  + 22*a33*m1 *m2 *n1  *n2

                  6   4   16   4   2            6   4   16   2   4
       - 87*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   8             6   4   14   6   2
       + 20*a33*m1 *m2 *n1  *n2  + 101*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   4   4             6   4   14   2   6
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   10             6   4   12   8   2
       - 62*a33*m1 *m2 *n1  *n2   + 305*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   6   4             6   4   12   4   6
       - 56*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  6   4   10   12             6   4   10   10   2
       - 36*a33*m1 *m2 *n1  *n2   - 151*a33*m1 *m2 *n1  *n2  *n3

                   6   4   10   8   4             6   4   10   6   6
       + 728*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  6   4   8   14             6   4   8   12   2
       + 50*a33*m1 *m2 *n1 *n2   - 283*a33*m1 *m2 *n1 *n2  *n3

                   6   4   8   8   6            6   4   6   16
       + 616*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  6   4   6   14   2             6   4   6   12   4
       + 45*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   10   6            6   4   4   18
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  6   4   4   16   2             6   4   4   12   6
       + 65*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

               5   5   19   3            5   5   17   5
       + a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                  5   5   17   3   2            5   5   15   7
       + 30*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   5   5   15   5   2             5   5   15   3   4
       - 186*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  5   5   13   9            5   5   13   7   2
       + 78*a33*m1 *m2 *n1  *n2  - 66*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   5   4             5   5   13   3   6
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                  5   5   11   11             5   5   11   9   2
       - 36*a33*m1 *m2 *n1  *n2   + 486*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   7   4             5   5   11   5   6
       - 504*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   5   9   13             5   5   9   11   2
       - 90*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   5   5   9   9   4             5   5   9   7   6
       + 784*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   15             5   5   7   13   2
       + 20*a33*m1 *m2 *n1 *n2   - 354*a33*m1 *m2 *n1 *n2  *n3

                   5   5   7   11   4             5   5   7   9   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   5   17            5   5   5   15   2
       + 30*a33*m1 *m2 *n1 *n2   - 66*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   13   4             5   5   5   11   6
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                 5   5   3   19            5   5   3   17   2
       - 5*a33*m1 *m2 *n1 *n2   + 54*a33*m1 *m2 *n1 *n2  *n3

                  5   5   3   15   4             5   5   3   13   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                 4   6   18   4            4   6   16   6
       + 5*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2

                  4   6   16   4   2            4   6   14   8
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   4   6   14   6   2             4   6   14   4   4
       - 185*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   12   10             4   6   12   8   2
       + 90*a33*m1 *m2 *n1  *n2   - 305*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   6   4             4   6   12   4   6
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   10   12             4   6   10   10   2
       + 36*a33*m1 *m2 *n1  *n2   + 347*a33*m1 *m2 *n1  *n2  *n3

                   4   6   10   8   4             4   6   10   6   6
       - 784*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  4   6   8   14             4   6   8   12   2
       - 78*a33*m1 *m2 *n1 *n2   + 339*a33*m1 *m2 *n1 *n2  *n3

                   4   6   8   10   4             4   6   8   8   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  4   6   6   16             4   6   6   14   2
       - 20*a33*m1 *m2 *n1 *n2   - 185*a33*m1 *m2 *n1 *n2  *n3

                   4   6   6   12   4             4   6   6   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

                  4   6   4   18             4   6   4   16   2
       + 18*a33*m1 *m2 *n1 *n2   - 109*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   14   4             4   6   4   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

               4   6   2   20            4   6   2   18   2
       - a33*m1 *m2 *n1 *n2   + 23*a33*m1 *m2 *n1 *n2  *n3

                  4   6   2   16   4             4   6   2   14   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                  3   7   17   5            3   7   15   7
       + 10*a33*m1 *m2 *n1  *n2  - 20*a33*m1 *m2 *n1  *n2

                   3   7   15   5   2            3   7   13   9
       + 100*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  3   7   13   7   2             3   7   13   5   4
       - 60*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  3   7   11   11             3   7   11   9   2
       + 36*a33*m1 *m2 *n1  *n2   - 332*a33*m1 *m2 *n1  *n2 *n3

                   3   7   11   5   6            3   7   9   13
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 62*a33*m1 *m2 *n1 *n2

                  3   7   9   11   2             3   7   9   9   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   15             3   7   7   13   2
       - 20*a33*m1 *m2 *n1 *n2   + 292*a33*m1 *m2 *n1 *n2  *n3

                  3   7   7   11   4             3   7   7   9   6
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 416*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   17           3   7   5   15   2
       - 22*a33*m1 *m2 *n1 *n2   + 4*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   13   4            3   7   5   11   6
       + 360*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   19            3   7   3   17   2
       + 4*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   15   4             3   7   3   13   6
       + 32*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   7      19   2            3   7      17   4
       + 4*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  3   7      15   6            2   8   16   6
       - 32*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  2   8   14   6   2            2   8   12   10
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 34*a33*m1 *m2 *n1  *n2

                  2   8   12   8   2             2   8   12   6   4
       + 39*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                 2   8   10   12             2   8   10   10   2
       - 8*a33*m1 *m2 *n1  *n2   - 165*a33*m1 *m2 *n1  *n2  *n3

                   2   8   10   8   4             2   8   10   6   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  2   8   8   14            2   8   8   12   2
       + 30*a33*m1 *m2 *n1 *n2   - 81*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   10   4            2   8   8   8   6
       - 264*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

                 2   8   6   16             2   8   6   14   2
       + 8*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   12   4             2   8   6   10   6
       - 148*a33*m1 *m2 *n1 *n2  *n3  - 172*a33*m1 *m2 *n1 *n2  *n3

                 2   8   4   18            2   8   4   16   2
       - 6*a33*m1 *m2 *n1 *n2   + 42*a33*m1 *m2 *n1 *n2  *n3

                   2   8   4   14   4            2   8   4   12   6
       + 100*a33*m1 *m2 *n1 *n2  *n3  - 44*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   18   2            2   8   2   16   4
       - 12*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   14   6           2   8   18   4
       + 60*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n2  *n3

                 2   8   16   6              9   15   7              9   13   9
       - 4*a33*m1 *m2 *n2  *n3  + 5*a33*m1*m2 *n1  *n2  + 6*a33*m1*m2 *n1  *n2

                     9   13   7   2              9   11   11
       + 30*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1  *n2

                     9   11   9   2               9   11   7   4
       + 38*a33*m1*m2 *n1  *n2 *n3  + 56*a33*m1*m2 *n1  *n2 *n3

                     9   9   13               9   9   11   2
       - 10*a33*m1*m2 *n1 *n2   - 34*a33*m1*m2 *n1 *n2  *n3

                     9   9   9   4               9   9   7   6
       + 64*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                    9   7   15               9   7   13   2
       + 3*a33*m1*m2 *n1 *n2   - 50*a33*m1*m2 *n1 *n2  *n3

                     9   7   11   4               9   7   9   6
       - 56*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2 *n3

                    9   5   17              9   5   15   2
       + 4*a33*m1*m2 *n1 *n2   + 4*a33*m1*m2 *n1 *n2  *n3

                     9   5   13   4               9   5   11   6
       - 72*a33*m1*m2 *n1 *n2  *n3  - 40*a33*m1*m2 *n1 *n2  *n3

                     9   3   17   2               9   3   13   6
       + 12*a33*m1*m2 *n1 *n2  *n3  - 24*a33*m1*m2 *n1 *n2  *n3

                    9      17   4              9      15   6         10   14   8
       + 8*a33*m1*m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1*n2  *n3  + a33*m2  *n1  *n2

                 10   12   10           10   12   8   2
       + 2*a33*m2  *n1  *n2   + 5*a33*m2  *n1  *n2 *n3

                 10   10   10   2           10   10   8   4
       + 9*a33*m2  *n1  *n2  *n3  + 8*a33*m2  *n1  *n2 *n3

                 10   8   14         10   8   12   2            10   8   10   4
       - 2*a33*m2  *n1 *n2   - a33*m2  *n1 *n2  *n3  + 12*a33*m2  *n1 *n2  *n3

                 10   8   8   6         10   6   16           10   6   14   2
       + 4*a33*m2  *n1 *n2 *n3  - a33*m2  *n1 *n2   - 9*a33*m2  *n1 *n2  *n3

                 10   6   12   4           10   6   10   6
       - 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3

                 10   4   16   2            10   4   14   4
       - 4*a33*m2  *n1 *n2  *n3  - 12*a33*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2  *n3

                 10   2   14   6         2             11   13   6   2
       - 4*a33*m2  *n1 *n2  *n3 ) + u3*v1 *v3*(2*a33*m1  *n1  *n2 *n3

                 11   13   4   4           11   13   2   6
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 11   9   10   2           11   9   8   4
       - 2*a33*m1  *n1 *n2  *n3  + 8*a33*m1  *n1 *n2 *n3

                 11   9   6   6           10      14   7
       - 8*a33*m1  *n1 *n2 *n3  + 2*a33*m1  *m2*n1  *n2

                  10      14   5   2            10      14   3   4
       - 16*a33*m1  *m2*n1  *n2 *n3  + 32*a33*m1  *m2*n1  *n2 *n3

                  10      14      6           10      12   9
       - 16*a33*m1  *m2*n1  *n2*n3  + 2*a33*m1  *m2*n1  *n2

                 10      12   7   2            10      12   5   4
       + 6*a33*m1  *m2*n1  *n2 *n3  - 56*a33*m1  *m2*n1  *n2 *n3

                  10      12   3   6           10      10   11
       + 72*a33*m1  *m2*n1  *n2 *n3  - 2*a33*m1  *m2*n1  *n2

                  10      10   9   2            10      10   7   4
       + 16*a33*m1  *m2*n1  *n2 *n3  - 32*a33*m1  *m2*n1  *n2 *n3

                  10      10   5   6           10      8   13
       + 16*a33*m1  *m2*n1  *n2 *n3  - 2*a33*m1  *m2*n1 *n2

                 10      8   11   2            10      8   9   4
       - 6*a33*m1  *m2*n1 *n2  *n3  + 56*a33*m1  *m2*n1 *n2 *n3

                  10      8   7   6           9   2   15   6
       - 72*a33*m1  *m2*n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2

                  9   2   15   4   2            9   2   15   2   4
       + 36*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2 *n3

                 9   2   15   6           9   2   13   8
       + 8*a33*m1 *m2 *n1  *n3  + 4*a33*m1 *m2 *n1  *n2

                  9   2   13   6   2             9   2   13   4   4
       - 88*a33*m1 *m2 *n1  *n2 *n3  + 240*a33*m1 *m2 *n1  *n2 *n3

                   9   2   13   2   6            9   2   11   10
       - 144*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                  9   2   11   8   2             9   2   11   6   4
       - 50*a33*m1 *m2 *n1  *n2 *n3  - 120*a33*m1 *m2 *n1  *n2 *n3

                   9   2   11   4   6           9   2   9   12
       + 280*a33*m1 *m2 *n1  *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

                  9   2   9   10   2             9   2   9   8   4
       + 88*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2 *n3

                   9   2   9   6   6            9   2   7   14
       + 144*a33*m1 *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1 *n2

                  9   2   7   12   2             9   2   7   10   4
       + 14*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

                   9   2   7   8   6            8   3   16   5
       - 288*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1  *n2

                  8   3   16   3   2            8   3   16      4
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

                  8   3   14   7             8   3   14   5   2
       - 36*a33*m1 *m2 *n1  *n2  + 228*a33*m1 *m2 *n1  *n2 *n3

                   8   3   14   3   4            8   3   14      6
       - 312*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2*n3

                  8   3   12   9             8   3   12   7   2
       - 30*a33*m1 *m2 *n1  *n2  - 136*a33*m1 *m2 *n1  *n2 *n3

                   8   3   12   5   4             8   3   12   3   6
       + 752*a33*m1 *m2 *n1  *n2 *n3  - 576*a33*m1 *m2 *n1  *n2 *n3

                  8   3   10   11             8   3   10   9   2
       + 66*a33*m1 *m2 *n1  *n2   - 326*a33*m1 *m2 *n1  *n2 *n3

                  8   3   10   7   4             8   3   10   5   6
       + 88*a33*m1 *m2 *n1  *n2 *n3  + 600*a33*m1 *m2 *n1  *n2 *n3

                  8   3   8   13             8   3   8   11   2
       + 18*a33*m1 *m2 *n1 *n2   + 168*a33*m1 *m2 *n1 *n2  *n3

                   8   3   8   9   4             8   3   8   7   6
       - 768*a33*m1 *m2 *n1 *n2 *n3  + 576*a33*m1 *m2 *n1 *n2 *n3

                  8   3   6   15            8   3   6   13   2
       - 30*a33*m1 *m2 *n1 *n2   + 98*a33*m1 *m2 *n1 *n2  *n3

                   8   3   6   11   4             8   3   6   9   6
       + 224*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                 7   4   17   4            7   4   17   2   2
       - 8*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2 *n3

                  7   4   15   6             7   4   15   4   2
       + 64*a33*m1 *m2 *n1  *n2  - 216*a33*m1 *m2 *n1  *n2 *n3

                   7   4   15   2   4            7   4   13   8
       + 128*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2

                   7   4   13   6   2              7   4   13   4   4
       + 578*a33*m1 *m2 *n1  *n2 *n3  - 1056*a33*m1 *m2 *n1  *n2 *n3

                   7   4   13   2   6             7   4   11   10
       + 288*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1  *n2

                   7   4   11   8   2              7   4   11   6   4
       + 160*a33*m1 *m2 *n1  *n2 *n3  + 1216*a33*m1 *m2 *n1  *n2 *n3

                    7   4   11   4   6            7   4   9   12
       - 1344*a33*m1 *m2 *n1  *n2 *n3  + 88*a33*m1 *m2 *n1 *n2

                   7   4   9   10   2             7   4   9   8   4
       - 798*a33*m1 *m2 *n1 *n2  *n3  + 944*a33*m1 *m2 *n1 *n2 *n3

                   7   4   9   6   6            7   4   7   14
       + 720*a33*m1 *m2 *n1 *n2 *n3  + 80*a33*m1 *m2 *n1 *n2

                  7   4   7   12   2              7   4   7   10   4
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2  *n3

                    7   4   7   8   6            7   4   5   16
       + 1344*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2

                   7   4   5   14   2             7   4   5   12   4
       + 210*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                    7   4   5   10   6           6   5   18   3
       - 1008*a33*m1 *m2 *n1 *n2  *n3  + 2*a33*m1 *m2 *n1  *n2

                  6   5   16   5            6   5   16   3   2
       - 46*a33*m1 *m2 *n1  *n2  + 70*a33*m1 *m2 *n1  *n2 *n3

                   6   5   14   7             6   5   14   5   2
       + 130*a33*m1 *m2 *n1  *n2  - 616*a33*m1 *m2 *n1  *n2 *n3

                   6   5   14   3   4            6   5   12   9
       + 448*a33*m1 *m2 *n1  *n2 *n3  + 66*a33*m1 *m2 *n1  *n2

                   6   5   12   7   2              6   5   12   5   4
       + 686*a33*m1 *m2 *n1  *n2 *n3  - 2016*a33*m1 *m2 *n1  *n2 *n3

                   6   5   12   3   6             6   5   10   11
       + 672*a33*m1 *m2 *n1  *n2 *n3  - 262*a33*m1 *m2 *n1  *n2

                   6   5   10   9   2             6   5   10   7   4
       + 896*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                    6   5   10   5   6            6   5   8   13
       - 2016*a33*m1 *m2 *n1  *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                   6   5   8   11   2              6   5   8   9   4
       - 994*a33*m1 *m2 *n1 *n2  *n3  + 2128*a33*m1 *m2 *n1 *n2 *n3

                   6   5   8   7   6             6   5   6   15
       + 336*a33*m1 *m2 *n1 *n2 *n3  + 130*a33*m1 *m2 *n1 *n2

                   6   5   6   13   2              6   5   6   11   4
       - 280*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2  *n3

                    6   5   6   9   6            6   5   4   17
       + 2016*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                   6   5   4   15   2             6   5   4   13   4
       + 238*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                    6   5   4   11   6            5   6   17   4
       - 1008*a33*m1 *m2 *n1 *n2  *n3  + 12*a33*m1 *m2 *n1  *n2

                   5   6   15   6             5   6   15   4   2
       - 108*a33*m1 *m2 *n1  *n2  + 210*a33*m1 *m2 *n1  *n2 *n3

                   5   6   13   8             5   6   13   6   2
       + 108*a33*m1 *m2 *n1  *n2  - 952*a33*m1 *m2 *n1  *n2 *n3

                   5   6   13   4   4             5   6   11   10
       + 896*a33*m1 *m2 *n1  *n2 *n3  + 228*a33*m1 *m2 *n1  *n2

                   5   6   11   8   2              5   6   11   6   4
       + 210*a33*m1 *m2 *n1  *n2 *n3  - 2352*a33*m1 *m2 *n1  *n2 *n3

                    5   6   11   4   6             5   6   9   12
       + 1008*a33*m1 *m2 *n1  *n2 *n3  - 228*a33*m1 *m2 *n1 *n2

                    5   6   9   10   2             5   6   9   8   4
       + 1456*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                    5   6   9   6   6             5   6   7   14
       - 2016*a33*m1 *m2 *n1 *n2 *n3  - 108*a33*m1 *m2 *n1 *n2

                   5   6   7   12   2              5   6   7   10   4
       - 574*a33*m1 *m2 *n1 *n2  *n3  + 2576*a33*m1 *m2 *n1 *n2  *n3

                   5   6   7   8   6             5   6   5   16
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 108*a33*m1 *m2 *n1 *n2

                   5   6   5   14   2             5   6   5   12   4
       - 504*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2  *n3

                    5   6   5   10   6            5   6   3   18
       + 2016*a33*m1 *m2 *n1 *n2  *n3  - 12*a33*m1 *m2 *n1 *n2

                   5   6   3   16   2             5   6   3   14   4
       + 154*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   5   6   3   12   6            4   7   16   5
       - 672*a33*m1 *m2 *n1 *n2  *n3  + 30*a33*m1 *m2 *n1  *n2

                   4   7   14   7             4   7   14   5   2
       - 130*a33*m1 *m2 *n1  *n2  + 350*a33*m1 *m2 *n1  *n2 *n3

                  4   7   12   9             4   7   12   7   2
       - 10*a33*m1 *m2 *n1  *n2  - 840*a33*m1 *m2 *n1  *n2 *n3

                    4   7   12   5   4             4   7   10   11
       + 1120*a33*m1 *m2 *n1  *n2 *n3  + 262*a33*m1 *m2 *n1  *n2

                   4   7   10   9   2              4   7   10   7   4
       - 434*a33*m1 *m2 *n1  *n2 *n3  - 1680*a33*m1 *m2 *n1  *n2 *n3

                    4   7   10   5   6            4   7   8   13
       + 1008*a33*m1 *m2 *n1  *n2 *n3  - 66*a33*m1 *m2 *n1 *n2

                    4   7   8   11   2              4   7   8   9   4
       + 1232*a33*m1 *m2 *n1 *n2  *n3  - 1120*a33*m1 *m2 *n1 *n2 *n3

                    4   7   8   7   6             4   7   6   15
       - 1344*a33*m1 *m2 *n1 *n2 *n3  - 130*a33*m1 *m2 *n1 *n2

                  4   7   6   13   2              4   7   6   11   4
       + 30*a33*m1 *m2 *n1 *n2  *n3  + 1840*a33*m1 *m2 *n1 *n2  *n3

                   4   7   6   9   6            4   7   4   17
       - 720*a33*m1 *m2 *n1 *n2 *n3  + 46*a33*m1 *m2 *n1 *n2

                   4   7   4   15   2              4   7   4   11   6
       - 392*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2  *n3

                 4   7   2   19            4   7   2   17   2
       - 2*a33*m1 *m2 *n1 *n2   + 54*a33*m1 *m2 *n1 *n2  *n3

                   4   7   2   15   4             4   7   2   13   6
       - 160*a33*m1 *m2 *n1 *n2  *n3  - 288*a33*m1 *m2 *n1 *n2  *n3

                  3   8   15   6            3   8   13   8
       + 40*a33*m1 *m2 *n1  *n2  - 80*a33*m1 *m2 *n1  *n2

                   3   8   13   6   2            3   8   11   10
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 88*a33*m1 *m2 *n1  *n2

                   3   8   11   8   2             3   8   11   6   4
       - 392*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                   3   8   9   12             3   8   9   10   2
       + 144*a33*m1 *m2 *n1 *n2   - 602*a33*m1 *m2 *n1 *n2  *n3

                   3   8   9   8   4             3   8   9   6   6
       - 672*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  3   8   7   14             3   8   7   12   2
       + 40*a33*m1 *m2 *n1 *n2   + 544*a33*m1 *m2 *n1 *n2  *n3

                    3   8   7   10   4             3   8   7   8   6
       - 1088*a33*m1 *m2 *n1 *n2  *n3  - 576*a33*m1 *m2 *n1 *n2 *n3

                  3   8   5   16             3   8   5   14   2
       - 64*a33*m1 *m2 *n1 *n2   + 244*a33*m1 *m2 *n1 *n2  *n3

                   3   8   5   12   4             3   8   5   10   6
       + 728*a33*m1 *m2 *n1 *n2  *n3  - 600*a33*m1 *m2 *n1 *n2  *n3

                 3   8   3   18             3   8   3   16   2
       + 8*a33*m1 *m2 *n1 *n2   - 152*a33*m1 *m2 *n1 *n2  *n3

                   3   8   3   14   4             3   8   3   12   6
       + 192*a33*m1 *m2 *n1 *n2  *n3  + 576*a33*m1 *m2 *n1 *n2  *n3

                 3   8      18   2            3   8      16   4
       + 8*a33*m1 *m2 *n1*n2  *n3  - 56*a33*m1 *m2 *n1*n2  *n3

                  3   8      14   6            2   9   14   7
       - 72*a33*m1 *m2 *n1*n2  *n3  + 30*a33*m1 *m2 *n1  *n2

                  2   9   12   9             2   9   12   7   2
       - 18*a33*m1 *m2 *n1  *n2  + 210*a33*m1 *m2 *n1  *n2 *n3

                  2   9   10   11            2   9   10   9   2
       - 66*a33*m1 *m2 *n1  *n2   - 56*a33*m1 *m2 *n1  *n2 *n3

                   2   9   10   7   4            2   9   8   13
       + 448*a33*m1 *m2 *n1  *n2 *n3  + 30*a33*m1 *m2 *n1 *n2

                   2   9   8   11   2            2   9   8   9   4
       - 342*a33*m1 *m2 *n1 *n2  *n3  - 96*a33*m1 *m2 *n1 *n2 *n3

                   2   9   8   7   6            2   9   6   15
       + 288*a33*m1 *m2 *n1 *n2 *n3  + 36*a33*m1 *m2 *n1 *n2

                  2   9   6   13   2             2   9   6   11   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  - 544*a33*m1 *m2 *n1 *n2  *n3

                   2   9   6   9   6            2   9   4   17
       - 144*a33*m1 *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1 *n2

                   2   9   4   15   2             2   9   4   13   4
       + 132*a33*m1 *m2 *n1 *n2  *n3  + 104*a33*m1 *m2 *n1 *n2  *n3

                   2   9   4   11   6            2   9   2   17   2
       - 280*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2  *n3

                  2   9   2   15   4             2   9   2   13   6
       + 96*a33*m1 *m2 *n1 *n2  *n3  + 144*a33*m1 *m2 *n1 *n2  *n3

                 2   9   17   4           2   9   15   6
       - 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                     10   13   8              10   11   10
       + 12*a33*m1*m2  *n1  *n2  + 4*a33*m1*m2  *n1  *n2

                     10   11   8   2               10   9   12
       + 70*a33*m1*m2  *n1  *n2 *n3  - 20*a33*m1*m2  *n1 *n2

                     10   9   10   2                10   9   8   4
       + 24*a33*m1*m2  *n1 *n2  *n3  + 128*a33*m1*m2  *n1 *n2 *n3

                    10   7   14               10   7   12   2
       - 4*a33*m1*m2  *n1 *n2   - 94*a33*m1*m2  *n1 *n2  *n3

                     10   7   10   4               10   7   8   6
       + 24*a33*m1*m2  *n1 *n2  *n3  + 72*a33*m1*m2  *n1 *n2 *n3

                    10   5   16               10   5   14   2
       + 8*a33*m1*m2  *n1 *n2   - 24*a33*m1*m2  *n1 *n2  *n3

                      10   5   12   4               10   5   10   6
       - 144*a33*m1*m2  *n1 *n2  *n3  - 16*a33*m1*m2  *n1 *n2  *n3

                     10   3   16   2               10   3   14   4
       + 24*a33*m1*m2  *n1 *n2  *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                     10   3   12   6               10      16   4
       - 72*a33*m1*m2  *n1 *n2  *n3  + 16*a33*m1*m2  *n1*n2  *n3

                     10      14   6           11   12   9           11   10   11
       + 16*a33*m1*m2  *n1*n2  *n3  + 2*a33*m2  *n1  *n2  + 2*a33*m2  *n1  *n2

                  11   10   9   2           11   8   13
       + 10*a33*m2  *n1  *n2 *n3  - 2*a33*m2  *n1 *n2

                 11   8   11   2            11   8   9   4           11   6   15
       + 8*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3  - 2*a33*m2  *n1 *n2

                  11   6   13   2           11   6   11   4
       - 10*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   6   9   6           11   4   15   2
       + 8*a33*m2  *n1 *n2 *n3  - 8*a33*m2  *n1 *n2  *n3

                  11   4   13   4           11   2   15   4
       - 16*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                 11   2   13   6         2       10   14   6   3
       - 8*a33*m2  *n1 *n2  *n3 ) + u3*v1 *( - m1  *n1  *n2 *n3

             10   14   4   5       10   14   2   7     10   12   8   3
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1  *n2 *n3

             10   12   6   5       10   12   4   7     10   10   10   3
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + m1  *n1  *n2  *n3

             10   10   8   5       10   10   6   7     10   8   12   3
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3

             10   8   10   5       10   8   8   7     9      15   7
       - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2 *n3

             9      15   5   3        9      15   3   5       9      15      7
       + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2*n3

             9      13   9          9      13   7   3       9      13   5   5
       - 2*m1 *m2*n1  *n2 *n3 + 6*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

              9      13   3   7        9      11   9   3
       - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2 *n3

              9      11   7   5        9      11   5   7       9      9   13
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1 *n2  *n3

             9      9   11   3       9      9   9   5        9      9   7   7
       - 6*m1 *m2*n1 *n2  *n3  - 8*m1 *m2*n1 *n2 *n3  + 24*m1 *m2*n1 *n2 *n3

           9      7   15          9      7   13   3        9      7   11   5
       + m1 *m2*n1 *n2  *n3 + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      7   9   7       8   2   16   6           8   2   16   4   3
       + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2 *n3 - 18*m1 *m2 *n1  *n2 *n3

              8   2   16   2   5       8   2   16   7       8   2   14   8
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  + 3*m1 *m2 *n1  *n2 *n3

              8   2   14   6   3        8   2   14   4   5
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   14   2   7        8   2   12   10
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2  *n3

              8   2   12   8   3        8   2   12   6   5
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   12   4   7       8   2   10   12
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2  *n3

             8   2   10   10   3         8   2   10   8   5
       - 9*m1 *m2 *n1  *n2  *n3  + 140*m1 *m2 *n1  *n2 *n3

               8   2   10   6   7       8   2   8   14
       - 172*m1 *m2 *n1  *n2 *n3  + 6*m1 *m2 *n1 *n2  *n3

              8   2   8   12   3        8   2   8   10   5
       - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   8   8   7       8   2   6   16          8   2   6   14   3
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2  *n3 - 9*m1 *m2 *n1 *n2  *n3

              8   2   6   12   5         8   2   6   10   7
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

             7   3   17   5           7   3   17   3   3       7   3   17      5
       - 6*m1 *m2 *n1  *n2 *n3 + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3

             7   3   15   7           7   3   15   5   3
       + 8*m1 *m2 *n1  *n2 *n3 - 80*m1 *m2 *n1  *n2 *n3

               7   3   15   3   5        7   3   15      7
       + 128*m1 *m2 *n1  *n2 *n3  - 32*m1 *m2 *n1  *n2*n3

              7   3   13   9           7   3   13   7   3
       + 30*m1 *m2 *n1  *n2 *n3 - 64*m1 *m2 *n1  *n2 *n3

               7   3   13   5   5         7   3   13   3   7
       - 136*m1 *m2 *n1  *n2 *n3  + 192*m1 *m2 *n1  *n2 *n3

             7   3   11   11            7   3   11   9   3
       - 8*m1 *m2 *n1  *n2  *n3 + 168*m1 *m2 *n1  *n2 *n3

               7   3   11   7   5        7   3   11   5   7
       - 352*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

              7   3   9   13           7   3   9   11   3
       - 34*m1 *m2 *n1 *n2  *n3 + 88*m1 *m2 *n1 *n2  *n3

               7   3   9   9   5         7   3   9   7   7
       + 200*m1 *m2 *n1 *n2 *n3  - 416*m1 *m2 *n1 *n2 *n3

              7   3   7   13   3         7   3   7   11   5
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   5   17           7   3   5   15   3
       + 10*m1 *m2 *n1 *n2  *n3 - 40*m1 *m2 *n1 *n2  *n3

              7   3   5   13   5         7   3   5   11   7
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

             6   4   18   4          6   4   18   2   3        6   4   16   6
       + 4*m1 *m2 *n1  *n2 *n3 - 5*m1 *m2 *n1  *n2 *n3  - 22*m1 *m2 *n1  *n2 *n3

              6   4   16   4   3        6   4   16   2   5
       + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   14   8            6   4   14   6   3
       - 20*m1 *m2 *n1  *n2 *n3 - 101*m1 *m2 *n1  *n2 *n3

               6   4   14   4   5         6   4   14   2   7
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   12   10            6   4   12   8   3
       + 62*m1 *m2 *n1  *n2  *n3 - 305*m1 *m2 *n1  *n2 *n3

              6   4   12   6   5         6   4   12   4   7
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   10   12            6   4   10   10   3
       + 36*m1 *m2 *n1  *n2  *n3 + 151*m1 *m2 *n1  *n2  *n3

               6   4   10   8   5         6   4   10   6   7
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   8   14            6   4   8   12   3
       - 50*m1 *m2 *n1 *n2  *n3 + 283*m1 *m2 *n1 *n2  *n3

               6   4   8   8   7        6   4   6   16
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2  *n3

              6   4   6   14   3         6   4   6   12   5
       - 45*m1 *m2 *n1 *n2  *n3  + 392*m1 *m2 *n1 *n2  *n3

               6   4   6   10   7        6   4   4   18
       - 168*m1 *m2 *n1 *n2  *n3  + 10*m1 *m2 *n1 *n2  *n3

              6   4   4   16   3         6   4   4   12   7
       - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3

           5   5   19   3           5   5   17   5           5   5   17   3   3
       - m1 *m2 *n1  *n2 *n3 + 18*m1 *m2 *n1  *n2 *n3 - 30*m1 *m2 *n1  *n2 *n3

              5   5   15   7            5   5   15   5   3
       - 20*m1 *m2 *n1  *n2 *n3 + 186*m1 *m2 *n1  *n2 *n3

               5   5   15   3   5        5   5   13   9
       - 168*m1 *m2 *n1  *n2 *n3  - 78*m1 *m2 *n1  *n2 *n3

              5   5   13   7   3         5   5   13   5   5
       + 66*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

               5   5   13   3   7        5   5   11   11
       - 224*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2  *n3

               5   5   11   9   3         5   5   11   7   5
       - 486*m1 *m2 *n1  *n2 *n3  + 504*m1 *m2 *n1  *n2 *n3

               5   5   11   5   7        5   5   9   13
       + 336*m1 *m2 *n1  *n2 *n3  + 90*m1 *m2 *n1 *n2  *n3

               5   5   9   11   3         5   5   9   9   5
       - 102*m1 *m2 *n1 *n2  *n3  - 784*m1 *m2 *n1 *n2 *n3

               5   5   9   7   7        5   5   7   15
       + 560*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2  *n3

               5   5   7   13   3         5   5   7   11   5
       + 354*m1 *m2 *n1 *n2  *n3  - 392*m1 *m2 *n1 *n2  *n3

               5   5   7   9   7        5   5   5   17
       - 560*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              5   5   5   15   3         5   5   5   13   5
       + 66*m1 *m2 *n1 *n2  *n3  + 336*m1 *m2 *n1 *n2  *n3

               5   5   5   11   7       5   5   3   19
       - 336*m1 *m2 *n1 *n2  *n3  + 5*m1 *m2 *n1 *n2  *n3

              5   5   3   17   3        5   5   3   15   5
       - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   3   13   7       4   6   18   4
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2 *n3

              4   6   16   6           4   6   16   4   3
       + 30*m1 *m2 *n1  *n2 *n3 - 75*m1 *m2 *n1  *n2 *n3

              4   6   14   8            4   6   14   6   3
       + 20*m1 *m2 *n1  *n2 *n3 + 185*m1 *m2 *n1  *n2 *n3

               4   6   14   4   5        4   6   12   10
       - 280*m1 *m2 *n1  *n2 *n3  - 90*m1 *m2 *n1  *n2  *n3

               4   6   12   8   3         4   6   12   6   5
       + 305*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

               4   6   12   4   7        4   6   10   12
       - 280*m1 *m2 *n1  *n2 *n3  - 36*m1 *m2 *n1  *n2  *n3

               4   6   10   10   3         4   6   10   8   5
       - 347*m1 *m2 *n1  *n2  *n3  + 784*m1 *m2 *n1  *n2 *n3

               4   6   10   6   7        4   6   8   14
       + 168*m1 *m2 *n1  *n2 *n3  + 78*m1 *m2 *n1 *n2  *n3

               4   6   8   12   3         4   6   8   10   5
       - 339*m1 *m2 *n1 *n2  *n3  - 392*m1 *m2 *n1 *n2  *n3

               4   6   8   8   7        4   6   6   16
       + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2  *n3

               4   6   6   14   3         4   6   6   12   5
       + 185*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2  *n3

               4   6   6   10   7        4   6   4   18
       - 280*m1 *m2 *n1 *n2  *n3  - 18*m1 *m2 *n1 *n2  *n3

               4   6   4   16   3         4   6   4   14   5
       + 109*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

               4   6   4   12   7     4   6   2   20
       - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2  *n3

              4   6   2   18   3        4   6   2   16   5
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   2   14   7        3   7   17   5
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2 *n3

              3   7   15   7            3   7   15   5   3
       + 20*m1 *m2 *n1  *n2 *n3 - 100*m1 *m2 *n1  *n2 *n3

              3   7   13   9           3   7   13   7   3
       + 50*m1 *m2 *n1  *n2 *n3 + 60*m1 *m2 *n1  *n2 *n3

               3   7   13   5   5        3   7   11   11
       - 280*m1 *m2 *n1  *n2 *n3  - 36*m1 *m2 *n1  *n2  *n3

               3   7   11   9   3         3   7   11   5   7
       + 332*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              3   7   9   13           3   7   9   11   3
       - 62*m1 *m2 *n1 *n2  *n3 - 52*m1 *m2 *n1 *n2  *n3

               3   7   9   9   5        3   7   7   15
       + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2  *n3

               3   7   7   13   3        3   7   7   11   5
       - 292*m1 *m2 *n1 *n2  *n3  + 32*m1 *m2 *n1 *n2  *n3

               3   7   7   9   7        3   7   5   17
       + 416*m1 *m2 *n1 *n2 *n3  + 22*m1 *m2 *n1 *n2  *n3

             3   7   5   15   3         3   7   5   13   5
       - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   5   11   7       3   7   3   19
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2  *n3

              3   7   3   17   3        3   7   3   15   5
       + 60*m1 *m2 *n1 *n2  *n3  - 32*m1 *m2 *n1 *n2  *n3

               3   7   3   13   7       3   7      19   3
       - 192*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1*n2  *n3

              3   7      17   5        3   7      15   7
       + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   8   16   6           2   8   14   6   3
       - 10*m1 *m2 *n1  *n2 *n3 - 75*m1 *m2 *n1  *n2 *n3

              2   8   12   10           2   8   12   8   3
       + 34*m1 *m2 *n1  *n2  *n3 - 39*m1 *m2 *n1  *n2 *n3

               2   8   12   6   5       2   8   10   12
       - 168*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2  *n3

               2   8   10   10   3         2   8   10   8   5
       + 165*m1 *m2 *n1  *n2  *n3  - 112*m1 *m2 *n1  *n2 *n3

               2   8   10   6   7        2   8   8   14
       - 112*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              2   8   8   12   3         2   8   8   10   5
       + 81*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2  *n3

              2   8   8   8   7       2   8   6   16
       - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2  *n3

               2   8   6   14   3         2   8   6   12   5
       - 102*m1 *m2 *n1 *n2  *n3  + 148*m1 *m2 *n1 *n2  *n3

               2   8   6   10   7       2   8   4   18
       + 172*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1 *n2  *n3

              2   8   4   16   3         2   8   4   14   5
       - 42*m1 *m2 *n1 *n2  *n3  - 100*m1 *m2 *n1 *n2  *n3

              2   8   4   12   7        2   8   2   18   3
       + 44*m1 *m2 *n1 *n2  *n3  + 12*m1 *m2 *n1 *n2  *n3

              2   8   2   16   5        2   8   2   14   7       2   8   18   5
       - 36*m1 *m2 *n1 *n2  *n3  - 60*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3

             2   8   16   7          9   15   7             9   13   9
       + 4*m1 *m2 *n2  *n3  - 5*m1*m2 *n1  *n2 *n3 - 6*m1*m2 *n1  *n2 *n3

                 9   13   7   3          9   11   11              9   11   9   3
       - 30*m1*m2 *n1  *n2 *n3  + 8*m1*m2 *n1  *n2  *n3 - 38*m1*m2 *n1  *n2 *n3

                 9   11   7   5           9   9   13              9   9   11   3
       - 56*m1*m2 *n1  *n2 *n3  + 10*m1*m2 *n1 *n2  *n3 + 34*m1*m2 *n1 *n2  *n3

                 9   9   9   5           9   9   7   7          9   7   15
       - 64*m1*m2 *n1 *n2 *n3  - 32*m1*m2 *n1 *n2 *n3  - 3*m1*m2 *n1 *n2  *n3

                 9   7   13   3           9   7   11   5           9   7   9   7
       + 50*m1*m2 *n1 *n2  *n3  + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2 *n3

                9   5   17             9   5   15   3           9   5   13   5
       - 4*m1*m2 *n1 *n2  *n3 - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3

                 9   5   11   7           9   3   17   3
       + 40*m1*m2 *n1 *n2  *n3  - 12*m1*m2 *n1 *n2  *n3

                 9   3   13   7          9      17   5          9      15   7
       + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1*n2  *n3  - 8*m1*m2 *n1*n2  *n3

           10   14   8          10   12   10          10   12   8   3
       - m2  *n1  *n2 *n3 - 2*m2  *n1  *n2  *n3 - 5*m2  *n1  *n2 *n3

             10   10   10   3       10   10   8   5       10   8   14
       - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3  + 2*m2  *n1 *n2  *n3

           10   8   12   3        10   8   10   5       10   8   8   7
       + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2 *n3

           10   6   16          10   6   14   3       10   6   12   5
       + m2  *n1 *n2  *n3 + 9*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   6   10   7       10   4   16   3        10   4   14   5
       - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 12*m2  *n1 *n2  *n3

             10   4   12   7       10   2   16   5       10   2   14   7
       + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3 ) + u3

                         11   12   7   2           11   12   5   4
   *v1*v2*v3*( - 2*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                         11   12   3   6           11   8   11   2
               - 8*a33*m1  *n1  *n2 *n3  + 2*a33*m1  *n1 *n2  *n3

                         11   8   9   4           11   8   7   6
               - 8*a33*m1  *n1 *n2 *n3  + 8*a33*m1  *n1 *n2 *n3

                         10      13   8            10      13   6   2
               - 2*a33*m1  *m2*n1  *n2  + 18*a33*m1  *m2*n1  *n2 *n3

                          10      13   4   4            10      13   2   6
               - 40*a33*m1  *m2*n1  *n2 *n3  + 24*a33*m1  *m2*n1  *n2 *n3

                         10      11   10           10      11   8   2
               - 2*a33*m1  *m2*n1  *n2   - 4*a33*m1  *m2*n1  *n2 *n3

                          10      11   6   4            10      11   4   6
               + 48*a33*m1  *m2*n1  *n2 *n3  - 64*a33*m1  *m2*n1  *n2 *n3

                         10      9   12            10      9   10   2
               + 2*a33*m1  *m2*n1 *n2   - 18*a33*m1  *m2*n1 *n2  *n3

                          10      9   8   4            10      9   6   6
               + 40*a33*m1  *m2*n1 *n2 *n3  - 24*a33*m1  *m2*n1 *n2 *n3

                         10      7   14           10      7   12   2
               + 2*a33*m1  *m2*n1 *n2   + 4*a33*m1  *m2*n1 *n2  *n3

                          10      7   10   4            10      7   8   6
               - 48*a33*m1  *m2*n1 *n2  *n3  + 64*a33*m1  *m2*n1 *n2 *n3

                          9   2   14   7            9   2   14   5   2
               + 10*a33*m1 *m2 *n1  *n2  - 52*a33*m1 *m2 *n1  *n2 *n3

                          9   2   14   3   4            9   2   14      6
               + 72*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

                          9   2   12   7   2             9   2   12   5   4
               + 76*a33*m1 *m2 *n1  *n2 *n3  - 256*a33*m1 *m2 *n1  *n2 *n3

                           9   2   12   3   6            9   2   10   11
               + 192*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                          9   2   10   9   2            9   2   10   7   4
               + 70*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2 *n3

                           9   2   10   5   6            9   2   8   11   2
               - 200*a33*m1 *m2 *n1  *n2 *n3  - 76*a33*m1 *m2 *n1 *n2  *n3

                           9   2   8   9   4             9   2   8   7   6
               + 256*a33*m1 *m2 *n1 *n2 *n3  - 192*a33*m1 *m2 *n1 *n2 *n3

                          9   2   6   15            9   2   6   13   2
               + 10*a33*m1 *m2 *n1 *n2   - 18*a33*m1 *m2 *n1 *n2  *n3

                           9   2   6   11   4             9   2   6   9   6
               - 112*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                          8   3   15   6            8   3   15   4   2
               - 20*a33*m1 *m2 *n1  *n2  + 68*a33*m1 *m2 *n1  *n2 *n3

                          8   3   15   2   4           8   3   15   6
               - 56*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                          8   3   13   8             8   3   13   6   2
               + 30*a33*m1 *m2 *n1  *n2  - 264*a33*m1 *m2 *n1  *n2 *n3

                           8   3   13   4   4             8   3   13   2   6
               + 480*a33*m1 *m2 *n1  *n2 *n3  - 192*a33*m1 *m2 *n1  *n2 *n3

                          8   3   11   10            8   3   11   8   2
               + 50*a33*m1 *m2 *n1  *n2   + 10*a33*m1 *m2 *n1  *n2 *n3

                           8   3   11   6   4             8   3   11   4   6
               - 616*a33*m1 *m2 *n1  *n2 *n3  + 664*a33*m1 *m2 *n1  *n2 *n3

                          8   3   9   12             8   3   9   10   2
               - 50*a33*m1 *m2 *n1 *n2   + 344*a33*m1 *m2 *n1 *n2  *n3

                           8   3   9   8   4             8   3   9   6   6
               - 368*a33*m1 *m2 *n1 *n2 *n3  - 256*a33*m1 *m2 *n1 *n2 *n3

                          8   3   7   14            8   3   7   12   2
               - 30*a33*m1 *m2 *n1 *n2   - 78*a33*m1 *m2 *n1 *n2  *n3

                           8   3   7   10   4             8   3   7   8   6
               + 672*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                          8   3   5   16            8   3   5   14   2
               + 20*a33*m1 *m2 *n1 *n2   - 80*a33*m1 *m2 *n1 *n2  *n3

                           8   3   5   12   4             8   3   5   10   6
               - 112*a33*m1 *m2 *n1 *n2  *n3  + 448*a33*m1 *m2 *n1 *n2  *n3

                          7   4   16   5            7   4   16   3   2
               + 20*a33*m1 *m2 *n1  *n2  - 42*a33*m1 *m2 *n1  *n2 *n3

                          7   4   16      4            7   4   14   7
               + 16*a33*m1 *m2 *n1  *n2*n3  - 80*a33*m1 *m2 *n1  *n2

                           7   4   14   5   2             7   4   14   3   4
               + 376*a33*m1 *m2 *n1  *n2 *n3  - 384*a33*m1 *m2 *n1  *n2 *n3

                          7   4   14      6            7   4   12   9
               + 64*a33*m1 *m2 *n1  *n2*n3  - 20*a33*m1 *m2 *n1  *n2

                           7   4   12   7   2              7   4   12   5   4
               - 450*a33*m1 *m2 *n1  *n2 *n3  + 1328*a33*m1 *m2 *n1  *n2 *n3

                           7   4   12   3   6             7   4   10   11
               - 672*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2

                           7   4   10   9   2             7   4   10   7   4
               - 496*a33*m1 *m2 *n1  *n2 *n3  - 512*a33*m1 *m2 *n1  *n2 *n3

                            7   4   10   5   6            7   4   8   13
               + 1280*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                           7   4   8   11   2              7   4   8   9   4
               + 622*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                           7   4   8   7   6            7   4   6   15
               + 112*a33*m1 *m2 *n1 *n2 *n3  - 80*a33*m1 *m2 *n1 *n2

                           7   4   6   13   2             7   4   6   11   4
               + 120*a33*m1 *m2 *n1 *n2  *n3  + 896*a33*m1 *m2 *n1 *n2  *n3

                            7   4   6   9   6            7   4   4   17
               - 1344*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                           7   4   4   15   2             7   4   4   11   6
               - 130*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2  *n3

                          6   5   17   4            6   5   17   2   2
               - 10*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2 *n3

                          6   5   15   6             6   5   15   4   2
               + 90*a33*m1 *m2 *n1  *n2  - 244*a33*m1 *m2 *n1  *n2 *n3

                           6   5   15   2   4            6   5   13   8
               + 112*a33*m1 *m2 *n1  *n2 *n3  - 90*a33*m1 *m2 *n1  *n2

                           6   5   13   6   2              6   5   13   4   4
               + 818*a33*m1 *m2 *n1  *n2 *n3  - 1120*a33*m1 *m2 *n1  *n2 *n3

                           6   5   13   2   6             6   5   11   10
               + 224*a33*m1 *m2 *n1  *n2 *n3  - 190*a33*m1 *m2 *n1  *n2

                          6   5   11   8   2              6   5   11   6   4
               - 76*a33*m1 *m2 *n1  *n2 *n3  + 1904*a33*m1 *m2 *n1  *n2 *n3

                            6   5   11   4   6             6   5   9   12
               - 1344*a33*m1 *m2 *n1  *n2 *n3  + 190*a33*m1 *m2 *n1 *n2

                            6   5   9   10   2             6   5   9   8   4
               - 1198*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                            6   5   9   6   6            6   5   7   14
               + 1456*a33*m1 *m2 *n1 *n2 *n3  + 90*a33*m1 *m2 *n1 *n2

                           6   5   7   12   2              6   5   7   10   4
               + 428*a33*m1 *m2 *n1 *n2  *n3  - 2128*a33*m1 *m2 *n1 *n2  *n3

                           6   5   7   8   6            6   5   5   16
               + 896*a33*m1 *m2 *n1 *n2 *n3  - 90*a33*m1 *m2 *n1 *n2

                           6   5   5   14   2             6   5   5   12   4
               + 370*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2  *n3

                            6   5   5   10   6            6   5   3   18
               - 1680*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1 *n2

                           6   5   3   16   2             6   5   3   14   4
               - 108*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                           6   5   3   12   6           5   6   18   3
               + 448*a33*m1 *m2 *n1 *n2  *n3  + 2*a33*m1 *m2 *n1  *n2

                          5   6   16   5            5   6   16   3   2
               - 48*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

                           5   6   14   7             5   6   14   5   2
               + 148*a33*m1 *m2 *n1  *n2  - 582*a33*m1 *m2 *n1  *n2 *n3

                           5   6   14   3   4            5   6   12   9
               + 336*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2

                           5   6   12   7   2              5   6   12   5   4
               + 820*a33*m1 *m2 *n1  *n2 *n3  - 1792*a33*m1 *m2 *n1  *n2 *n3

                           5   6   12   3   6             5   6   10   11
               + 448*a33*m1 *m2 *n1  *n2 *n3  - 300*a33*m1 *m2 *n1  *n2

                           5   6   10   9   2              5   6   10   7   4
               + 762*a33*m1 *m2 *n1  *n2 *n3  + 1344*a33*m1 *m2 *n1  *n2 *n3

                            5   6   10   5   6            5   6   8   13
               - 1680*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1 *n2

                            5   6   8   11   2              5   6   8   9   4
               - 1252*a33*m1 *m2 *n1 *n2  *n3  + 1792*a33*m1 *m2 *n1 *n2 *n3

                           5   6   8   7   6             5   6   6   15
               + 896*a33*m1 *m2 *n1 *n2 *n3  + 148*a33*m1 *m2 *n1 *n2

                           5   6   6   13   2              5   6   6   11   4
               - 134*a33*m1 *m2 *n1 *n2  *n3  - 1792*a33*m1 *m2 *n1 *n2  *n3

                            5   6   6   9   6            5   6   4   17
               + 1456*a33*m1 *m2 *n1 *n2 *n3  - 48*a33*m1 *m2 *n1 *n2

                           5   6   4   15   2              5   6   4   11   6
               + 372*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2  *n3

                         5   6   2   19            5   6   2   17   2
               + 2*a33*m1 *m2 *n1 *n2   - 46*a33*m1 *m2 *n1 *n2  *n3

                           5   6   2   15   4             5   6   2   13   6
               + 112*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                          4   7   17   4            4   7   15   6
               + 10*a33*m1 *m2 *n1  *n2  - 90*a33*m1 *m2 *n1  *n2

                           4   7   15   4   2            4   7   13   8
               + 150*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1  *n2

                           4   7   13   6   2             4   7   13   4   4
               - 720*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                           4   7   11   10             4   7   11   8   2
               + 190*a33*m1 *m2 *n1  *n2   + 230*a33*m1 *m2 *n1  *n2 *n3

                            4   7   11   6   4             4   7   11   4   6
               - 1680*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                           4   7   9   12              4   7   9   10   2
               - 190*a33*m1 *m2 *n1 *n2   + 1128*a33*m1 *m2 *n1 *n2  *n3

                           4   7   9   8   4              4   7   9   6   6
               + 112*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                          4   7   7   14             4   7   7   12   2
               - 90*a33*m1 *m2 *n1 *n2   - 554*a33*m1 *m2 *n1 *n2  *n3

                            4   7   7   10   4             4   7   7   8   6
               + 1904*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2 *n3

                          4   7   5   16             4   7   5   14   2
               + 90*a33*m1 *m2 *n1 *n2   - 400*a33*m1 *m2 *n1 *n2  *n3

                           4   7   5   12   4              4   7   5   10   6
               - 720*a33*m1 *m2 *n1 *n2  *n3  + 1280*a33*m1 *m2 *n1 *n2  *n3

                          4   7   3   18             4   7   3   16   2
               - 10*a33*m1 *m2 *n1 *n2   + 174*a33*m1 *m2 *n1 *n2  *n3

                           4   7   3   14   4             4   7   3   12   6
               - 224*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2  *n3

                         4   7      18   2            4   7      16   4
               - 8*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

                          4   7      14   6            3   8   16   5
               + 64*a33*m1 *m2 *n1*n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                          3   8   14   7             3   8   14   5   2
               - 80*a33*m1 *m2 *n1  *n2  + 200*a33*m1 *m2 *n1  *n2 *n3

                          3   8   12   9             3   8   12   7   2
               - 20*a33*m1 *m2 *n1  *n2  - 470*a33*m1 *m2 *n1  *n2 *n3

                           3   8   12   5   4             3   8   10   11
               + 560*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1  *n2

                           3   8   10   9   2             3   8   10   7   4
               - 272*a33*m1 *m2 *n1  *n2 *n3  - 896*a33*m1 *m2 *n1  *n2 *n3

                           3   8   10   5   6            3   8   8   13
               + 448*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                           3   8   8   11   2             3   8   8   9   4
               + 706*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                           3   8   8   7   6            3   8   6   15
               - 672*a33*m1 *m2 *n1 *n2 *n3  - 80*a33*m1 *m2 *n1 *n2

                          3   8   6   13   2              3   8   6   11   4
               + 40*a33*m1 *m2 *n1 *n2  *n3  + 1024*a33*m1 *m2 *n1 *n2  *n3

                           3   8   6   9   6            3   8   4   17
               - 256*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                           3   8   4   15   2           3   8   4   13   4
               - 236*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2  *n3

                           3   8   4   11   6            3   8   2   17   2
               + 664*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                           3   8   2   15   4             3   8   2   13   6
               - 128*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2  *n3

                         3   8   17   4           3   8   15   6
               + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

                          2   9   15   6            2   9   13   8
               + 20*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2

                           2   9   13   6   2            2   9   11   10
               + 150*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                           2   9   11   8   2             2   9   11   6   4
               - 132*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                          2   9   9   12             2   9   9   10   2
               + 50*a33*m1 *m2 *n1 *n2   - 274*a33*m1 *m2 *n1 *n2  *n3

                           2   9   9   8   4             2   9   9   6   6
               - 224*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                          2   9   7   14             2   9   7   12   2
               + 30*a33*m1 *m2 *n1 *n2   + 180*a33*m1 *m2 *n1 *n2  *n3

                           2   9   7   10   4             2   9   7   8   6
               - 432*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2 *n3

                          2   9   5   16             2   9   5   14   2
               - 20*a33*m1 *m2 *n1 *n2   + 124*a33*m1 *m2 *n1 *n2  *n3

                           2   9   5   12   4             2   9   5   10   6
               + 248*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2  *n3

                          2   9   3   16   2            2   9   3   14   4
               - 48*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2  *n3

                           2   9   3   12   6            2   9      16   4
               + 192*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                          2   9      14   6               10   14   7
               - 24*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1*m2  *n1  *n2

                             10   12   7   2               10   10   11
               + 60*a33*m1*m2  *n1  *n2 *n3  - 20*a33*m1*m2  *n1  *n2

                            10   10   9   2                10   10   7   4
               + 6*a33*m1*m2  *n1  *n2 *n3  + 112*a33*m1*m2  *n1  *n2 *n3

                             10   8   11   2               10   8   7   6
               - 92*a33*m1*m2  *n1 *n2  *n3  + 64*a33*m1*m2  *n1 *n2 *n3

                             10   6   15              10   6   13   2
               + 10*a33*m1*m2  *n1 *n2   - 6*a33*m1*m2  *n1 *n2  *n3

                              10   6   11   4               10   6   9   6
               - 136*a33*m1*m2  *n1 *n2  *n3  - 24*a33*m1*m2  *n1 *n2 *n3

                             10   4   15   2               10   4   11   6
               + 32*a33*m1*m2  *n1 *n2  *n3  - 64*a33*m1*m2  *n1 *n2  *n3

                             10   2   15   4               10   2   13   6
               + 24*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                         11   13   8           11   11   10
               + 2*a33*m2  *n1  *n2  + 2*a33*m2  *n1  *n2

                          11   11   8   2           11   9   12
               + 10*a33*m2  *n1  *n2 *n3  - 2*a33*m2  *n1 *n2

                         11   9   10   2            11   9   8   4
               + 8*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

                         11   7   14            11   7   12   2
               - 2*a33*m2  *n1 *n2   - 10*a33*m2  *n1 *n2  *n3

                         11   7   10   4           11   7   8   6
               + 8*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2 *n3

                         11   5   14   2            11   5   12   4
               - 8*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2  *n3

                         11   3   14   4           11   3   12   6         2
               - 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3 ) + u3*v2 *v3*

            11   13   6   2           11   13   4   4           11   13   2   6
   (2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

               11   9   10   2           11   9   8   4           11   9   6   6
     - 2*a33*m1  *n1 *n2  *n3  + 8*a33*m1  *n1 *n2 *n3  - 8*a33*m1  *n1 *n2 *n3

               10      14   7            10      14   5   2
     + 2*a33*m1  *m2*n1  *n2  - 16*a33*m1  *m2*n1  *n2 *n3

                10      14   3   4            10      14      6
     + 32*a33*m1  *m2*n1  *n2 *n3  - 16*a33*m1  *m2*n1  *n2*n3

               10      12   9           10      12   7   2
     + 2*a33*m1  *m2*n1  *n2  + 6*a33*m1  *m2*n1  *n2 *n3

                10      12   5   4            10      12   3   6
     - 56*a33*m1  *m2*n1  *n2 *n3  + 72*a33*m1  *m2*n1  *n2 *n3

               10      10   11            10      10   9   2
     - 2*a33*m1  *m2*n1  *n2   + 16*a33*m1  *m2*n1  *n2 *n3

                10      10   7   4            10      10   5   6
     - 32*a33*m1  *m2*n1  *n2 *n3  + 16*a33*m1  *m2*n1  *n2 *n3

               10      8   13           10      8   11   2
     - 2*a33*m1  *m2*n1 *n2   - 6*a33*m1  *m2*n1 *n2  *n3

                10      8   9   4            10      8   7   6
     + 56*a33*m1  *m2*n1 *n2 *n3  - 72*a33*m1  *m2*n1 *n2 *n3

               9   2   15   6            9   2   15   4   2
     - 8*a33*m1 *m2 *n1  *n2  + 36*a33*m1 *m2 *n1  *n2 *n3

                9   2   15   2   4           9   2   15   6
     - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

               9   2   13   8            9   2   13   6   2
     + 4*a33*m1 *m2 *n1  *n2  - 88*a33*m1 *m2 *n1  *n2 *n3

                 9   2   13   4   4             9   2   13   2   6
     + 240*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1  *n2 *n3

                9   2   11   10            9   2   11   8   2
     + 20*a33*m1 *m2 *n1  *n2   - 50*a33*m1 *m2 *n1  *n2 *n3

                 9   2   11   6   4             9   2   11   4   6
     - 120*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

               9   2   9   12            9   2   9   10   2
     - 4*a33*m1 *m2 *n1 *n2   + 88*a33*m1 *m2 *n1 *n2  *n3

                 9   2   9   8   4             9   2   9   6   6
     - 240*a33*m1 *m2 *n1 *n2 *n3  + 144*a33*m1 *m2 *n1 *n2 *n3

                9   2   7   14            9   2   7   12   2
     - 12*a33*m1 *m2 *n1 *n2   + 14*a33*m1 *m2 *n1 *n2  *n3

                 9   2   7   10   4             9   2   7   8   6
     + 160*a33*m1 *m2 *n1 *n2  *n3  - 288*a33*m1 *m2 *n1 *n2 *n3

                8   3   16   5            8   3   16   3   2
     + 12*a33*m1 *m2 *n1  *n2  - 32*a33*m1 *m2 *n1  *n2 *n3

                8   3   16      4            8   3   14   7
     + 16*a33*m1 *m2 *n1  *n2*n3  - 36*a33*m1 *m2 *n1  *n2

                 8   3   14   5   2             8   3   14   3   4
     + 228*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1  *n2 *n3

                8   3   14      6            8   3   12   9
     + 72*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                 8   3   12   7   2             8   3   12   5   4
     - 136*a33*m1 *m2 *n1  *n2 *n3  + 752*a33*m1 *m2 *n1  *n2 *n3

                 8   3   12   3   6            8   3   10   11
     - 576*a33*m1 *m2 *n1  *n2 *n3  + 66*a33*m1 *m2 *n1  *n2

                 8   3   10   9   2            8   3   10   7   4
     - 326*a33*m1 *m2 *n1  *n2 *n3  + 88*a33*m1 *m2 *n1  *n2 *n3

                 8   3   10   5   6            8   3   8   13
     + 600*a33*m1 *m2 *n1  *n2 *n3  + 18*a33*m1 *m2 *n1 *n2

                 8   3   8   11   2             8   3   8   9   4
     + 168*a33*m1 *m2 *n1 *n2  *n3  - 768*a33*m1 *m2 *n1 *n2 *n3

                 8   3   8   7   6            8   3   6   15
     + 576*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                8   3   6   13   2             8   3   6   11   4
     + 98*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                 8   3   6   9   6           7   4   17   4
     - 672*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2

                7   4   17   2   2            7   4   15   6
     + 10*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2

                 7   4   15   4   2             7   4   15   2   4
     - 216*a33*m1 *m2 *n1  *n2 *n3  + 128*a33*m1 *m2 *n1  *n2 *n3

                7   4   13   8             7   4   13   6   2
     - 40*a33*m1 *m2 *n1  *n2  + 578*a33*m1 *m2 *n1  *n2 *n3

                  7   4   13   4   4             7   4   13   2   6
     - 1056*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                 7   4   11   10             7   4   11   8   2
     - 144*a33*m1 *m2 *n1  *n2   + 160*a33*m1 *m2 *n1  *n2 *n3

                  7   4   11   6   4              7   4   11   4   6
     + 1216*a33*m1 *m2 *n1  *n2 *n3  - 1344*a33*m1 *m2 *n1  *n2 *n3

                7   4   9   12             7   4   9   10   2
     + 88*a33*m1 *m2 *n1 *n2   - 798*a33*m1 *m2 *n1 *n2  *n3

                 7   4   9   8   4             7   4   9   6   6
     + 944*a33*m1 *m2 *n1 *n2 *n3  + 720*a33*m1 *m2 *n1 *n2 *n3

                7   4   7   14            7   4   7   12   2
     + 80*a33*m1 *m2 *n1 *n2   + 56*a33*m1 *m2 *n1 *n2  *n3

                  7   4   7   10   4              7   4   7   8   6
     - 1344*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                7   4   5   16             7   4   5   14   2
     - 40*a33*m1 *m2 *n1 *n2   + 210*a33*m1 *m2 *n1 *n2  *n3

                 7   4   5   12   4              7   4   5   10   6
     + 112*a33*m1 *m2 *n1 *n2  *n3  - 1008*a33*m1 *m2 *n1 *n2  *n3

               6   5   18   3            6   5   16   5
     + 2*a33*m1 *m2 *n1  *n2  - 46*a33*m1 *m2 *n1  *n2

                6   5   16   3   2             6   5   14   7
     + 70*a33*m1 *m2 *n1  *n2 *n3  + 130*a33*m1 *m2 *n1  *n2

                 6   5   14   5   2             6   5   14   3   4
     - 616*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                6   5   12   9             6   5   12   7   2
     + 66*a33*m1 *m2 *n1  *n2  + 686*a33*m1 *m2 *n1  *n2 *n3

                  6   5   12   5   4             6   5   12   3   6
     - 2016*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                 6   5   10   11             6   5   10   9   2
     - 262*a33*m1 *m2 *n1  *n2   + 896*a33*m1 *m2 *n1  *n2 *n3

                 6   5   10   7   4              6   5   10   5   6
     + 896*a33*m1 *m2 *n1  *n2 *n3  - 2016*a33*m1 *m2 *n1  *n2 *n3

                6   5   8   13             6   5   8   11   2
     + 10*a33*m1 *m2 *n1 *n2   - 994*a33*m1 *m2 *n1 *n2  *n3

                  6   5   8   9   4             6   5   8   7   6
     + 2128*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                 6   5   6   15             6   5   6   13   2
     + 130*a33*m1 *m2 *n1 *n2   - 280*a33*m1 *m2 *n1 *n2  *n3

                  6   5   6   11   4              6   5   6   9   6
     - 1344*a33*m1 *m2 *n1 *n2  *n3  + 2016*a33*m1 *m2 *n1 *n2 *n3

                6   5   4   17             6   5   4   15   2
     - 30*a33*m1 *m2 *n1 *n2   + 238*a33*m1 *m2 *n1 *n2  *n3

                 6   5   4   13   4              6   5   4   11   6
     - 112*a33*m1 *m2 *n1 *n2  *n3  - 1008*a33*m1 *m2 *n1 *n2  *n3

                5   6   17   4             5   6   15   6
     + 12*a33*m1 *m2 *n1  *n2  - 108*a33*m1 *m2 *n1  *n2

                 5   6   15   4   2             5   6   13   8
     + 210*a33*m1 *m2 *n1  *n2 *n3  + 108*a33*m1 *m2 *n1  *n2

                 5   6   13   6   2             5   6   13   4   4
     - 952*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                 5   6   11   10             5   6   11   8   2
     + 228*a33*m1 *m2 *n1  *n2   + 210*a33*m1 *m2 *n1  *n2 *n3

                  5   6   11   6   4              5   6   11   4   6
     - 2352*a33*m1 *m2 *n1  *n2 *n3  + 1008*a33*m1 *m2 *n1  *n2 *n3

                 5   6   9   12              5   6   9   10   2
     - 228*a33*m1 *m2 *n1 *n2   + 1456*a33*m1 *m2 *n1 *n2  *n3

                 5   6   9   8   4              5   6   9   6   6
     - 224*a33*m1 *m2 *n1 *n2 *n3  - 2016*a33*m1 *m2 *n1 *n2 *n3

                 5   6   7   14             5   6   7   12   2
     - 108*a33*m1 *m2 *n1 *n2   - 574*a33*m1 *m2 *n1 *n2  *n3

                  5   6   7   10   4             5   6   7   8   6
     + 2576*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                 5   6   5   16             5   6   5   14   2
     + 108*a33*m1 *m2 *n1 *n2   - 504*a33*m1 *m2 *n1 *n2  *n3

                 5   6   5   12   4              5   6   5   10   6
     - 672*a33*m1 *m2 *n1 *n2  *n3  + 2016*a33*m1 *m2 *n1 *n2  *n3

                5   6   3   18             5   6   3   16   2
     - 12*a33*m1 *m2 *n1 *n2   + 154*a33*m1 *m2 *n1 *n2  *n3

                 5   6   3   14   4             5   6   3   12   6
     - 224*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2  *n3

                4   7   16   5             4   7   14   7
     + 30*a33*m1 *m2 *n1  *n2  - 130*a33*m1 *m2 *n1  *n2

                 4   7   14   5   2            4   7   12   9
     + 350*a33*m1 *m2 *n1  *n2 *n3  - 10*a33*m1 *m2 *n1  *n2

                 4   7   12   7   2              4   7   12   5   4
     - 840*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                 4   7   10   11             4   7   10   9   2
     + 262*a33*m1 *m2 *n1  *n2   - 434*a33*m1 *m2 *n1  *n2 *n3

                  4   7   10   7   4              4   7   10   5   6
     - 1680*a33*m1 *m2 *n1  *n2 *n3  + 1008*a33*m1 *m2 *n1  *n2 *n3

                4   7   8   13              4   7   8   11   2
     - 66*a33*m1 *m2 *n1 *n2   + 1232*a33*m1 *m2 *n1 *n2  *n3

                  4   7   8   9   4              4   7   8   7   6
     - 1120*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                 4   7   6   15            4   7   6   13   2
     - 130*a33*m1 *m2 *n1 *n2   + 30*a33*m1 *m2 *n1 *n2  *n3

                  4   7   6   11   4             4   7   6   9   6
     + 1840*a33*m1 *m2 *n1 *n2  *n3  - 720*a33*m1 *m2 *n1 *n2 *n3

                4   7   4   17             4   7   4   15   2
     + 46*a33*m1 *m2 *n1 *n2   - 392*a33*m1 *m2 *n1 *n2  *n3

                  4   7   4   11   6           4   7   2   19
     + 1344*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1 *n2

                4   7   2   17   2             4   7   2   15   4
     + 54*a33*m1 *m2 *n1 *n2  *n3  - 160*a33*m1 *m2 *n1 *n2  *n3

                 4   7   2   13   6            3   8   15   6
     - 288*a33*m1 *m2 *n1 *n2  *n3  + 40*a33*m1 *m2 *n1  *n2

                3   8   13   8             3   8   13   6   2
     - 80*a33*m1 *m2 *n1  *n2  + 350*a33*m1 *m2 *n1  *n2 *n3

                3   8   11   10             3   8   11   8   2
     - 88*a33*m1 *m2 *n1  *n2   - 392*a33*m1 *m2 *n1  *n2 *n3

                 3   8   11   6   4             3   8   9   12
     + 896*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1 *n2

                 3   8   9   10   2             3   8   9   8   4
     - 602*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                 3   8   9   6   6            3   8   7   14
     + 672*a33*m1 *m2 *n1 *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                 3   8   7   12   2              3   8   7   10   4
     + 544*a33*m1 *m2 *n1 *n2  *n3  - 1088*a33*m1 *m2 *n1 *n2  *n3

                 3   8   7   8   6            3   8   5   16
     - 576*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2

                 3   8   5   14   2             3   8   5   12   4
     + 244*a33*m1 *m2 *n1 *n2  *n3  + 728*a33*m1 *m2 *n1 *n2  *n3

                 3   8   5   10   6           3   8   3   18
     - 600*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2

                 3   8   3   16   2             3   8   3   14   4
     - 152*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   8   3   12   6           3   8      18   2
     + 576*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                3   8      16   4            3   8      14   6
     - 56*a33*m1 *m2 *n1*n2  *n3  - 72*a33*m1 *m2 *n1*n2  *n3

                2   9   14   7            2   9   12   9
     + 30*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                 2   9   12   7   2            2   9   10   11
     + 210*a33*m1 *m2 *n1  *n2 *n3  - 66*a33*m1 *m2 *n1  *n2

                2   9   10   9   2             2   9   10   7   4
     - 56*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                2   9   8   13             2   9   8   11   2
     + 30*a33*m1 *m2 *n1 *n2   - 342*a33*m1 *m2 *n1 *n2  *n3

                2   9   8   9   4             2   9   8   7   6
     - 96*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                2   9   6   15            2   9   6   13   2
     + 36*a33*m1 *m2 *n1 *n2   + 80*a33*m1 *m2 *n1 *n2  *n3

                 2   9   6   11   4             2   9   6   9   6
     - 544*a33*m1 *m2 *n1 *n2  *n3  - 144*a33*m1 *m2 *n1 *n2 *n3

                2   9   4   17             2   9   4   15   2
     - 12*a33*m1 *m2 *n1 *n2   + 132*a33*m1 *m2 *n1 *n2  *n3

                 2   9   4   13   4             2   9   4   11   6
     + 104*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

                2   9   2   17   2            2   9   2   15   4
     - 24*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2  *n3

                 2   9   2   13   6           2   9   17   4
     + 144*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

               2   9   15   6               10   13   8
     - 8*a33*m1 *m2 *n2  *n3  + 12*a33*m1*m2  *n1  *n2

                  10   11   10               10   11   8   2
     + 4*a33*m1*m2  *n1  *n2   + 70*a33*m1*m2  *n1  *n2 *n3

                   10   9   12               10   9   10   2
     - 20*a33*m1*m2  *n1 *n2   + 24*a33*m1*m2  *n1 *n2  *n3

                    10   9   8   4              10   7   14
     + 128*a33*m1*m2  *n1 *n2 *n3  - 4*a33*m1*m2  *n1 *n2

                   10   7   12   2               10   7   10   4
     - 94*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                   10   7   8   6              10   5   16
     + 72*a33*m1*m2  *n1 *n2 *n3  + 8*a33*m1*m2  *n1 *n2

                   10   5   14   2                10   5   12   4
     - 24*a33*m1*m2  *n1 *n2  *n3  - 144*a33*m1*m2  *n1 *n2  *n3

                   10   5   10   6               10   3   16   2
     - 16*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                   10   3   14   4               10   3   12   6
     - 24*a33*m1*m2  *n1 *n2  *n3  - 72*a33*m1*m2  *n1 *n2  *n3

                   10      16   4               10      14   6
     + 16*a33*m1*m2  *n1*n2  *n3  + 16*a33*m1*m2  *n1*n2  *n3

               11   12   9           11   10   11            11   10   9   2
     + 2*a33*m2  *n1  *n2  + 2*a33*m2  *n1  *n2   + 10*a33*m2  *n1  *n2 *n3

               11   8   13           11   8   11   2            11   8   9   4
     - 2*a33*m2  *n1 *n2   + 8*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

               11   6   15            11   6   13   2           11   6   11   4
     - 2*a33*m2  *n1 *n2   - 10*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

               11   6   9   6           11   4   15   2
     + 8*a33*m2  *n1 *n2 *n3  - 8*a33*m2  *n1 *n2  *n3

                11   4   13   4           11   2   15   4
     - 16*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

               11   2   13   6         2       10   14   6   3
     - 8*a33*m2  *n1 *n2  *n3 ) + u3*v2 *( - m1  *n1  *n2 *n3

             10   14   4   5       10   14   2   7     10   12   8   3
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1  *n2 *n3

             10   12   6   5       10   12   4   7     10   10   10   3
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + m1  *n1  *n2  *n3

             10   10   8   5       10   10   6   7     10   8   12   3
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3

             10   8   10   5       10   8   8   7     9      15   7
       - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2 *n3

             9      15   5   3        9      15   3   5       9      15      7
       + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2*n3

             9      13   9          9      13   7   3       9      13   5   5
       - 2*m1 *m2*n1  *n2 *n3 + 6*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3

              9      13   3   7        9      11   9   3
       - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2 *n3

              9      11   7   5        9      11   5   7       9      9   13
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1 *n2  *n3

             9      9   11   3       9      9   9   5        9      9   7   7
       - 6*m1 *m2*n1 *n2  *n3  - 8*m1 *m2*n1 *n2 *n3  + 24*m1 *m2*n1 *n2 *n3

           9      7   15          9      7   13   3        9      7   11   5
       + m1 *m2*n1 *n2  *n3 + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      7   9   7       8   2   16   6           8   2   16   4   3
       + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2 *n3 - 18*m1 *m2 *n1  *n2 *n3

              8   2   16   2   5       8   2   16   7       8   2   14   8
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  + 3*m1 *m2 *n1  *n2 *n3

              8   2   14   6   3        8   2   14   4   5
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   14   2   7        8   2   12   10
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2  *n3

              8   2   12   8   3        8   2   12   6   5
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   12   4   7       8   2   10   12
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2  *n3

             8   2   10   10   3         8   2   10   8   5
       - 9*m1 *m2 *n1  *n2  *n3  + 140*m1 *m2 *n1  *n2 *n3

               8   2   10   6   7       8   2   8   14
       - 172*m1 *m2 *n1  *n2 *n3  + 6*m1 *m2 *n1 *n2  *n3

              8   2   8   12   3        8   2   8   10   5
       - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   8   8   7       8   2   6   16          8   2   6   14   3
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2  *n3 - 9*m1 *m2 *n1 *n2  *n3

              8   2   6   12   5         8   2   6   10   7
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

             7   3   17   5           7   3   17   3   3       7   3   17      5
       - 6*m1 *m2 *n1  *n2 *n3 + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3

             7   3   15   7           7   3   15   5   3
       + 8*m1 *m2 *n1  *n2 *n3 - 80*m1 *m2 *n1  *n2 *n3

               7   3   15   3   5        7   3   15      7
       + 128*m1 *m2 *n1  *n2 *n3  - 32*m1 *m2 *n1  *n2*n3

              7   3   13   9           7   3   13   7   3
       + 30*m1 *m2 *n1  *n2 *n3 - 64*m1 *m2 *n1  *n2 *n3

               7   3   13   5   5         7   3   13   3   7
       - 136*m1 *m2 *n1  *n2 *n3  + 192*m1 *m2 *n1  *n2 *n3

             7   3   11   11            7   3   11   9   3
       - 8*m1 *m2 *n1  *n2  *n3 + 168*m1 *m2 *n1  *n2 *n3

               7   3   11   7   5        7   3   11   5   7
       - 352*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

              7   3   9   13           7   3   9   11   3
       - 34*m1 *m2 *n1 *n2  *n3 + 88*m1 *m2 *n1 *n2  *n3

               7   3   9   9   5         7   3   9   7   7
       + 200*m1 *m2 *n1 *n2 *n3  - 416*m1 *m2 *n1 *n2 *n3

              7   3   7   13   3         7   3   7   11   5
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   5   17           7   3   5   15   3
       + 10*m1 *m2 *n1 *n2  *n3 - 40*m1 *m2 *n1 *n2  *n3

              7   3   5   13   5         7   3   5   11   7
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

             6   4   18   4          6   4   18   2   3        6   4   16   6
       + 4*m1 *m2 *n1  *n2 *n3 - 5*m1 *m2 *n1  *n2 *n3  - 22*m1 *m2 *n1  *n2 *n3

              6   4   16   4   3        6   4   16   2   5
       + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   14   8            6   4   14   6   3
       - 20*m1 *m2 *n1  *n2 *n3 - 101*m1 *m2 *n1  *n2 *n3

               6   4   14   4   5         6   4   14   2   7
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   12   10            6   4   12   8   3
       + 62*m1 *m2 *n1  *n2  *n3 - 305*m1 *m2 *n1  *n2 *n3

              6   4   12   6   5         6   4   12   4   7
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   10   12            6   4   10   10   3
       + 36*m1 *m2 *n1  *n2  *n3 + 151*m1 *m2 *n1  *n2  *n3

               6   4   10   8   5         6   4   10   6   7
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   8   14            6   4   8   12   3
       - 50*m1 *m2 *n1 *n2  *n3 + 283*m1 *m2 *n1 *n2  *n3

               6   4   8   8   7        6   4   6   16
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2  *n3

              6   4   6   14   3         6   4   6   12   5
       - 45*m1 *m2 *n1 *n2  *n3  + 392*m1 *m2 *n1 *n2  *n3

               6   4   6   10   7        6   4   4   18
       - 168*m1 *m2 *n1 *n2  *n3  + 10*m1 *m2 *n1 *n2  *n3

              6   4   4   16   3         6   4   4   12   7
       - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3

           5   5   19   3           5   5   17   5           5   5   17   3   3
       - m1 *m2 *n1  *n2 *n3 + 18*m1 *m2 *n1  *n2 *n3 - 30*m1 *m2 *n1  *n2 *n3

              5   5   15   7            5   5   15   5   3
       - 20*m1 *m2 *n1  *n2 *n3 + 186*m1 *m2 *n1  *n2 *n3

               5   5   15   3   5        5   5   13   9
       - 168*m1 *m2 *n1  *n2 *n3  - 78*m1 *m2 *n1  *n2 *n3

              5   5   13   7   3         5   5   13   5   5
       + 66*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

               5   5   13   3   7        5   5   11   11
       - 224*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2  *n3

               5   5   11   9   3         5   5   11   7   5
       - 486*m1 *m2 *n1  *n2 *n3  + 504*m1 *m2 *n1  *n2 *n3

               5   5   11   5   7        5   5   9   13
       + 336*m1 *m2 *n1  *n2 *n3  + 90*m1 *m2 *n1 *n2  *n3

               5   5   9   11   3         5   5   9   9   5
       - 102*m1 *m2 *n1 *n2  *n3  - 784*m1 *m2 *n1 *n2 *n3

               5   5   9   7   7        5   5   7   15
       + 560*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2  *n3

               5   5   7   13   3         5   5   7   11   5
       + 354*m1 *m2 *n1 *n2  *n3  - 392*m1 *m2 *n1 *n2  *n3

               5   5   7   9   7        5   5   5   17
       - 560*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              5   5   5   15   3         5   5   5   13   5
       + 66*m1 *m2 *n1 *n2  *n3  + 336*m1 *m2 *n1 *n2  *n3

               5   5   5   11   7       5   5   3   19
       - 336*m1 *m2 *n1 *n2  *n3  + 5*m1 *m2 *n1 *n2  *n3

              5   5   3   17   3        5   5   3   15   5
       - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   3   13   7       4   6   18   4
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2 *n3

              4   6   16   6           4   6   16   4   3
       + 30*m1 *m2 *n1  *n2 *n3 - 75*m1 *m2 *n1  *n2 *n3

              4   6   14   8            4   6   14   6   3
       + 20*m1 *m2 *n1  *n2 *n3 + 185*m1 *m2 *n1  *n2 *n3

               4   6   14   4   5        4   6   12   10
       - 280*m1 *m2 *n1  *n2 *n3  - 90*m1 *m2 *n1  *n2  *n3

               4   6   12   8   3         4   6   12   6   5
       + 305*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

               4   6   12   4   7        4   6   10   12
       - 280*m1 *m2 *n1  *n2 *n3  - 36*m1 *m2 *n1  *n2  *n3

               4   6   10   10   3         4   6   10   8   5
       - 347*m1 *m2 *n1  *n2  *n3  + 784*m1 *m2 *n1  *n2 *n3

               4   6   10   6   7        4   6   8   14
       + 168*m1 *m2 *n1  *n2 *n3  + 78*m1 *m2 *n1 *n2  *n3

               4   6   8   12   3         4   6   8   10   5
       - 339*m1 *m2 *n1 *n2  *n3  - 392*m1 *m2 *n1 *n2  *n3

               4   6   8   8   7        4   6   6   16
       + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2  *n3

               4   6   6   14   3         4   6   6   12   5
       + 185*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2  *n3

               4   6   6   10   7        4   6   4   18
       - 280*m1 *m2 *n1 *n2  *n3  - 18*m1 *m2 *n1 *n2  *n3

               4   6   4   16   3         4   6   4   14   5
       + 109*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

               4   6   4   12   7     4   6   2   20
       - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2  *n3

              4   6   2   18   3        4   6   2   16   5
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   2   14   7        3   7   17   5
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2 *n3

              3   7   15   7            3   7   15   5   3
       + 20*m1 *m2 *n1  *n2 *n3 - 100*m1 *m2 *n1  *n2 *n3

              3   7   13   9           3   7   13   7   3
       + 50*m1 *m2 *n1  *n2 *n3 + 60*m1 *m2 *n1  *n2 *n3

               3   7   13   5   5        3   7   11   11
       - 280*m1 *m2 *n1  *n2 *n3  - 36*m1 *m2 *n1  *n2  *n3

               3   7   11   9   3         3   7   11   5   7
       + 332*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              3   7   9   13           3   7   9   11   3
       - 62*m1 *m2 *n1 *n2  *n3 - 52*m1 *m2 *n1 *n2  *n3

               3   7   9   9   5        3   7   7   15
       + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2  *n3

               3   7   7   13   3        3   7   7   11   5
       - 292*m1 *m2 *n1 *n2  *n3  + 32*m1 *m2 *n1 *n2  *n3

               3   7   7   9   7        3   7   5   17
       + 416*m1 *m2 *n1 *n2 *n3  + 22*m1 *m2 *n1 *n2  *n3

             3   7   5   15   3         3   7   5   13   5
       - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   5   11   7       3   7   3   19
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2  *n3

              3   7   3   17   3        3   7   3   15   5
       + 60*m1 *m2 *n1 *n2  *n3  - 32*m1 *m2 *n1 *n2  *n3

               3   7   3   13   7       3   7      19   3
       - 192*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1*n2  *n3

              3   7      17   5        3   7      15   7
       + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   8   16   6           2   8   14   6   3
       - 10*m1 *m2 *n1  *n2 *n3 - 75*m1 *m2 *n1  *n2 *n3

              2   8   12   10           2   8   12   8   3
       + 34*m1 *m2 *n1  *n2  *n3 - 39*m1 *m2 *n1  *n2 *n3

               2   8   12   6   5       2   8   10   12
       - 168*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2  *n3

               2   8   10   10   3         2   8   10   8   5
       + 165*m1 *m2 *n1  *n2  *n3  - 112*m1 *m2 *n1  *n2 *n3

               2   8   10   6   7        2   8   8   14
       - 112*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              2   8   8   12   3         2   8   8   10   5
       + 81*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2  *n3

              2   8   8   8   7       2   8   6   16
       - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2  *n3

               2   8   6   14   3         2   8   6   12   5
       - 102*m1 *m2 *n1 *n2  *n3  + 148*m1 *m2 *n1 *n2  *n3

               2   8   6   10   7       2   8   4   18
       + 172*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1 *n2  *n3

              2   8   4   16   3         2   8   4   14   5
       - 42*m1 *m2 *n1 *n2  *n3  - 100*m1 *m2 *n1 *n2  *n3

              2   8   4   12   7        2   8   2   18   3
       + 44*m1 *m2 *n1 *n2  *n3  + 12*m1 *m2 *n1 *n2  *n3

              2   8   2   16   5        2   8   2   14   7       2   8   18   5
       - 36*m1 *m2 *n1 *n2  *n3  - 60*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3

             2   8   16   7          9   15   7             9   13   9
       + 4*m1 *m2 *n2  *n3  - 5*m1*m2 *n1  *n2 *n3 - 6*m1*m2 *n1  *n2 *n3

                 9   13   7   3          9   11   11              9   11   9   3
       - 30*m1*m2 *n1  *n2 *n3  + 8*m1*m2 *n1  *n2  *n3 - 38*m1*m2 *n1  *n2 *n3

                 9   11   7   5           9   9   13              9   9   11   3
       - 56*m1*m2 *n1  *n2 *n3  + 10*m1*m2 *n1 *n2  *n3 + 34*m1*m2 *n1 *n2  *n3

                 9   9   9   5           9   9   7   7          9   7   15
       - 64*m1*m2 *n1 *n2 *n3  - 32*m1*m2 *n1 *n2 *n3  - 3*m1*m2 *n1 *n2  *n3

                 9   7   13   3           9   7   11   5           9   7   9   7
       + 50*m1*m2 *n1 *n2  *n3  + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2 *n3

                9   5   17             9   5   15   3           9   5   13   5
       - 4*m1*m2 *n1 *n2  *n3 - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3

                 9   5   11   7           9   3   17   3
       + 40*m1*m2 *n1 *n2  *n3  - 12*m1*m2 *n1 *n2  *n3

                 9   3   13   7          9      17   5          9      15   7
       + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1*n2  *n3  - 8*m1*m2 *n1*n2  *n3

           10   14   8          10   12   10          10   12   8   3
       - m2  *n1  *n2 *n3 - 2*m2  *n1  *n2  *n3 - 5*m2  *n1  *n2 *n3

             10   10   10   3       10   10   8   5       10   8   14
       - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3  + 2*m2  *n1 *n2  *n3

           10   8   12   3        10   8   10   5       10   8   8   7
       + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2 *n3

           10   6   16          10   6   14   3       10   6   12   5
       + m2  *n1 *n2  *n3 + 9*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   6   10   7       10   4   16   3        10   4   14   5
       - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 12*m2  *n1 *n2  *n3

             10   4   12   7       10   2   16   5       10   2   14   7
       + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3 ) + u3

             10   14   7   2       10   14   5   4       10   14   3   6
   *v2*v3*(m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

                10   12   9   2       10   12   7   4       10   12   5   6
            + m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

                10   10   11   2       10   10   9   4       10   10   7   6
            - m1  *n1  *n2  *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

                10   8   13   2       10   8   11   4       10   8   9   6
            - m1  *n1 *n2  *n3  + 4*m1  *n1 *n2  *n3  - 4*m1  *n1 *n2 *n3

                9      15   8       9      15   6   2        9      15   4   4
            + m1 *m2*n1  *n2  - 8*m1 *m2*n1  *n2 *n3  + 16*m1 *m2*n1  *n2 *n3

                  9      15   2   6       9      13   10       9      13   8   2
            - 8*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1  *n2   - 6*m1 *m2*n1  *n2 *n3

                  9      13   6   4        9      13   4   6
            - 8*m1 *m2*n1  *n2 *n3  + 24*m1 *m2*n1  *n2 *n3

                   9      11   10   2        9      11   8   4
            + 10*m1 *m2*n1  *n2  *n3  - 40*m1 *m2*n1  *n2 *n3

                   9      11   6   6       9      9   14       9      9   12   2
            + 40*m1 *m2*n1  *n2 *n3  - 2*m1 *m2*n1 *n2   + 6*m1 *m2*n1 *n2  *n3

                  9      9   10   4        9      9   8   6     9      7   16
            + 8*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2 *n3  - m1 *m2*n1 *n2

                  9      7   14   2        9      7   12   4
            - 2*m1 *m2*n1 *n2  *n3  + 24*m1 *m2*n1 *n2  *n3

                   9      7   10   6       8   2   16   7
            - 32*m1 *m2*n1 *n2  *n3  - 4*m1 *m2 *n1  *n2

                   8   2   16   5   2        8   2   16   3   4
            + 18*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2 *n3

                  8   2   16      6       8   2   14   9
            + 4*m1 *m2 *n1  *n2*n3  - 3*m1 *m2 *n1  *n2

                   8   2   14   7   2        8   2   14   5   4
            - 18*m1 *m2 *n1  *n2 *n3  + 84*m1 *m2 *n1  *n2 *n3

                   8   2   14   3   6        8   2   12   11
            - 60*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1  *n2

                   8   2   12   9   2        8   2   12   7   4
            - 63*m1 *m2 *n1  *n2 *n3  + 68*m1 *m2 *n1  *n2 *n3

                   8   2   12   5   6       8   2   10   13
            + 44*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2

                  8   2   10   11   2         8   2   10   9   4
            + 9*m1 *m2 *n1  *n2  *n3  - 140*m1 *m2 *n1  *n2 *n3

                    8   2   10   7   6       8   2   8   15
            + 172*m1 *m2 *n1  *n2 *n3  - 6*m1 *m2 *n1 *n2

                   8   2   8   13   2        8   2   8   11   4
            + 45*m1 *m2 *n1 *n2  *n3  - 48*m1 *m2 *n1 *n2  *n3

                   8   2   8   9   6       8   2   6   17
            - 48*m1 *m2 *n1 *n2 *n3  - 5*m1 *m2 *n1 *n2

                  8   2   6   15   2        8   2   6   13   4
            + 9*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

                    8   2   6   11   6       7   3   17   6
            - 112*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1  *n2

                   7   3   17   4   2       7   3   17   2   4
            - 16*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2 *n3

                  7   3   15   8        7   3   15   6   2
            - 8*m1 *m2 *n1  *n2  + 80*m1 *m2 *n1  *n2 *n3

                    7   3   15   4   4        7   3   15   2   6
            - 128*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

                   7   3   13   10        7   3   13   8   2
            - 30*m1 *m2 *n1  *n2   + 64*m1 *m2 *n1  *n2 *n3

                    7   3   13   6   4         7   3   13   4   6
            + 136*m1 *m2 *n1  *n2 *n3  - 192*m1 *m2 *n1  *n2 *n3

                  7   3   11   12         7   3   11   10   2
            + 8*m1 *m2 *n1  *n2   - 168*m1 *m2 *n1  *n2  *n3

                    7   3   11   8   4        7   3   11   6   6
            + 352*m1 *m2 *n1  *n2 *n3  - 32*m1 *m2 *n1  *n2 *n3

                   7   3   9   14        7   3   9   12   2
            + 34*m1 *m2 *n1 *n2   - 88*m1 *m2 *n1 *n2  *n3

                    7   3   9   10   4         7   3   9   8   6
            - 200*m1 *m2 *n1 *n2  *n3  + 416*m1 *m2 *n1 *n2 *n3

                   7   3   7   14   2         7   3   7   12   4
            + 88*m1 *m2 *n1 *n2  *n3  - 224*m1 *m2 *n1 *n2  *n3

                   7   3   5   18        7   3   5   16   2
            - 10*m1 *m2 *n1 *n2   + 40*m1 *m2 *n1 *n2  *n3

                   7   3   5   14   4         7   3   5   12   6
            + 56*m1 *m2 *n1 *n2  *n3  - 224*m1 *m2 *n1 *n2  *n3

                  6   4   18   5       6   4   18   3   2        6   4   16   7
            - 4*m1 *m2 *n1  *n2  + 5*m1 *m2 *n1  *n2 *n3  + 22*m1 *m2 *n1  *n2

                   6   4   16   5   2        6   4   16   3   4
            - 87*m1 *m2 *n1  *n2 *n3  + 56*m1 *m2 *n1  *n2 *n3

                   6   4   14   9         6   4   14   7   2
            + 20*m1 *m2 *n1  *n2  + 101*m1 *m2 *n1  *n2 *n3

                    6   4   14   5   4         6   4   14   3   6
            - 336*m1 *m2 *n1  *n2 *n3  + 112*m1 *m2 *n1  *n2 *n3

                   6   4   12   11         6   4   12   9   2
            - 62*m1 *m2 *n1  *n2   + 305*m1 *m2 *n1  *n2 *n3

                   6   4   12   7   4         6   4   12   5   6
            - 56*m1 *m2 *n1  *n2 *n3  - 336*m1 *m2 *n1  *n2 *n3

                   6   4   10   13         6   4   10   11   2
            - 36*m1 *m2 *n1  *n2   - 151*m1 *m2 *n1  *n2  *n3

                    6   4   10   9   4         6   4   10   7   6
            + 728*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

                   6   4   8   15         6   4   8   13   2
            + 50*m1 *m2 *n1 *n2   - 283*m1 *m2 *n1 *n2  *n3

                    6   4   8   9   6        6   4   6   17
            + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2

                   6   4   6   15   2         6   4   6   13   4
            + 45*m1 *m2 *n1 *n2  *n3  - 392*m1 *m2 *n1 *n2  *n3

                    6   4   6   11   6        6   4   4   19
            + 168*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1 *n2

                   6   4   4   17   2         6   4   4   13   6
            + 65*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

                5   5   19   4        5   5   17   6        5   5   17   4   2
            + m1 *m2 *n1  *n2  - 18*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2 *n3

                   5   5   15   8         5   5   15   6   2
            + 20*m1 *m2 *n1  *n2  - 186*m1 *m2 *n1  *n2 *n3

                    5   5   15   4   4        5   5   13   10
            + 168*m1 *m2 *n1  *n2 *n3  + 78*m1 *m2 *n1  *n2

                   5   5   13   8   2         5   5   13   6   4
            - 66*m1 *m2 *n1  *n2 *n3  - 448*m1 *m2 *n1  *n2 *n3

                    5   5   13   4   6        5   5   11   12
            + 224*m1 *m2 *n1  *n2 *n3  - 36*m1 *m2 *n1  *n2

                    5   5   11   10   2         5   5   11   8   4
            + 486*m1 *m2 *n1  *n2  *n3  - 504*m1 *m2 *n1  *n2 *n3

                    5   5   11   6   6        5   5   9   14
            - 336*m1 *m2 *n1  *n2 *n3  - 90*m1 *m2 *n1 *n2

                    5   5   9   12   2         5   5   9   10   4
            + 102*m1 *m2 *n1 *n2  *n3  + 784*m1 *m2 *n1 *n2  *n3

                    5   5   9   8   6        5   5   7   16
            - 560*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2

                    5   5   7   14   2         5   5   7   12   4
            - 354*m1 *m2 *n1 *n2  *n3  + 392*m1 *m2 *n1 *n2  *n3

                    5   5   7   10   6        5   5   5   18
            + 560*m1 *m2 *n1 *n2  *n3  + 30*m1 *m2 *n1 *n2

                   5   5   5   16   2         5   5   5   14   4
            - 66*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3

                    5   5   5   12   6       5   5   3   20
            + 336*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1 *n2

                   5   5   3   18   2        5   5   3   16   4
            + 54*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

                    5   5   3   14   6       4   6   18   5
            - 224*m1 *m2 *n1 *n2  *n3  + 5*m1 *m2 *n1  *n2

                   4   6   16   7        4   6   16   5   2
            - 30*m1 *m2 *n1  *n2  + 75*m1 *m2 *n1  *n2 *n3

                   4   6   14   9         4   6   14   7   2
            - 20*m1 *m2 *n1  *n2  - 185*m1 *m2 *n1  *n2 *n3

                    4   6   14   5   4        4   6   12   11
            + 280*m1 *m2 *n1  *n2 *n3  + 90*m1 *m2 *n1  *n2

                    4   6   12   9   2         4   6   12   7   4
            - 305*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

                    4   6   12   5   6        4   6   10   13
            + 280*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2

                    4   6   10   11   2         4   6   10   9   4
            + 347*m1 *m2 *n1  *n2  *n3  - 784*m1 *m2 *n1  *n2 *n3

                    4   6   10   7   6        4   6   8   15
            - 168*m1 *m2 *n1  *n2 *n3  - 78*m1 *m2 *n1 *n2

                    4   6   8   13   2         4   6   8   11   4
            + 339*m1 *m2 *n1 *n2  *n3  + 392*m1 *m2 *n1 *n2  *n3

                    4   6   8   9   6        4   6   6   17
            - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2

                    4   6   6   15   2         4   6   6   13   4
            - 185*m1 *m2 *n1 *n2  *n3  + 560*m1 *m2 *n1 *n2  *n3

                    4   6   6   11   6        4   6   4   19
            + 280*m1 *m2 *n1 *n2  *n3  + 18*m1 *m2 *n1 *n2

                    4   6   4   17   2         4   6   4   15   4
            - 109*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2  *n3

                    4   6   4   13   6     4   6   2   21
            + 336*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1 *n2

                   4   6   2   19   2        4   6   2   17   4
            + 23*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

                    4   6   2   15   6        3   7   17   6
            - 112*m1 *m2 *n1 *n2  *n3  + 10*m1 *m2 *n1  *n2

                   3   7   15   8         3   7   15   6   2
            - 20*m1 *m2 *n1  *n2  + 100*m1 *m2 *n1  *n2 *n3

                   3   7   13   10        3   7   13   8   2
            - 50*m1 *m2 *n1  *n2   - 60*m1 *m2 *n1  *n2 *n3

                    3   7   13   6   4        3   7   11   12
            + 280*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2

                    3   7   11   10   2         3   7   11   6   6
            - 332*m1 *m2 *n1  *n2  *n3  + 224*m1 *m2 *n1  *n2 *n3

                   3   7   9   14        3   7   9   12   2
            + 62*m1 *m2 *n1 *n2   + 52*m1 *m2 *n1 *n2  *n3

                    3   7   9   10   4        3   7   7   16
            - 616*m1 *m2 *n1 *n2  *n3  - 20*m1 *m2 *n1 *n2

                    3   7   7   14   2        3   7   7   12   4
            + 292*m1 *m2 *n1 *n2  *n3  - 32*m1 *m2 *n1 *n2  *n3

                    3   7   7   10   6        3   7   5   18
            - 416*m1 *m2 *n1 *n2  *n3  - 22*m1 *m2 *n1 *n2

                  3   7   5   16   2         3   7   5   14   4
            + 4*m1 *m2 *n1 *n2  *n3  + 360*m1 *m2 *n1 *n2  *n3

                   3   7   5   12   6       3   7   3   20
            + 32*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1 *n2

                   3   7   3   18   2        3   7   3   16   4
            - 60*m1 *m2 *n1 *n2  *n3  + 32*m1 *m2 *n1 *n2  *n3

                    3   7   3   14   6       3   7      20   2
            + 192*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1*n2  *n3

                   3   7      18   4        3   7      16   6
            - 24*m1 *m2 *n1*n2  *n3  - 32*m1 *m2 *n1*n2  *n3

                   2   8   16   7        2   8   14   7   2
            + 10*m1 *m2 *n1  *n2  + 75*m1 *m2 *n1  *n2 *n3

                   2   8   12   11        2   8   12   9   2
            - 34*m1 *m2 *n1  *n2   + 39*m1 *m2 *n1  *n2 *n3

                    2   8   12   7   4       2   8   10   13
            + 168*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2

                    2   8   10   11   2         2   8   10   9   4
            - 165*m1 *m2 *n1  *n2  *n3  + 112*m1 *m2 *n1  *n2 *n3

                    2   8   10   7   6        2   8   8   15
            + 112*m1 *m2 *n1  *n2 *n3  + 30*m1 *m2 *n1 *n2

                   2   8   8   13   2         2   8   8   11   4
            - 81*m1 *m2 *n1 *n2  *n3  - 264*m1 *m2 *n1 *n2  *n3

                   2   8   8   9   6       2   8   6   17
            + 48*m1 *m2 *n1 *n2 *n3  + 8*m1 *m2 *n1 *n2

                    2   8   6   15   2         2   8   6   13   4
            + 102*m1 *m2 *n1 *n2  *n3  - 148*m1 *m2 *n1 *n2  *n3

                    2   8   6   11   6       2   8   4   19
            - 172*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1 *n2

                   2   8   4   17   2         2   8   4   15   4
            + 42*m1 *m2 *n1 *n2  *n3  + 100*m1 *m2 *n1 *n2  *n3

                   2   8   4   13   6        2   8   2   19   2
            - 44*m1 *m2 *n1 *n2  *n3  - 12*m1 *m2 *n1 *n2  *n3

                   2   8   2   17   4        2   8   2   15   6
            + 36*m1 *m2 *n1 *n2  *n3  + 60*m1 *m2 *n1 *n2  *n3

                  2   8   19   4       2   8   17   6          9   15   8
            - 4*m1 *m2 *n2  *n3  - 4*m1 *m2 *n2  *n3  + 5*m1*m2 *n1  *n2

                     9   13   10           9   13   8   2          9   11   12
            + 6*m1*m2 *n1  *n2   + 30*m1*m2 *n1  *n2 *n3  - 8*m1*m2 *n1  *n2

                      9   11   10   2           9   11   8   4
            + 38*m1*m2 *n1  *n2  *n3  + 56*m1*m2 *n1  *n2 *n3

                      9   9   14           9   9   12   2
            - 10*m1*m2 *n1 *n2   - 34*m1*m2 *n1 *n2  *n3

                      9   9   10   4           9   9   8   6          9   7   16
            + 64*m1*m2 *n1 *n2  *n3  + 32*m1*m2 *n1 *n2 *n3  + 3*m1*m2 *n1 *n2

                      9   7   14   2           9   7   12   4
            - 50*m1*m2 *n1 *n2  *n3  - 56*m1*m2 *n1 *n2  *n3

                      9   7   10   6          9   5   18          9   5   16   2
            + 24*m1*m2 *n1 *n2  *n3  + 4*m1*m2 *n1 *n2   + 4*m1*m2 *n1 *n2  *n3

                      9   5   14   4           9   5   12   6
            - 72*m1*m2 *n1 *n2  *n3  - 40*m1*m2 *n1 *n2  *n3

                      9   3   18   2           9   3   14   6
            + 12*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2  *n3

                     9      18   4          9      16   6     10   14   9
            + 8*m1*m2 *n1*n2  *n3  + 8*m1*m2 *n1*n2  *n3  + m2  *n1  *n2

                  10   12   11       10   12   9   2       10   10   11   2
            + 2*m2  *n1  *n2   + 5*m2  *n1  *n2 *n3  + 9*m2  *n1  *n2  *n3

                  10   10   9   4       10   8   15     10   8   13   2
            + 8*m2  *n1  *n2 *n3  - 2*m2  *n1 *n2   - m2  *n1 *n2  *n3

                   10   8   11   4       10   8   9   6     10   6   17
            + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2 *n3  - m2  *n1 *n2

                  10   6   15   2       10   6   13   4       10   6   11   6
            - 9*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

                  10   4   17   2        10   4   15   4       10   4   13   6
            - 4*m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3

                  10   2   17   4       10   2   15   6         3
            - 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3 ) + u3*v3 *(

              11   13   6   2           11   13   4   4
      2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   13   2   6           11   9   10   2
       + 8*a33*m1  *n1  *n2 *n3  - 2*a33*m1  *n1 *n2  *n3

                 11   9   8   4           11   9   6   6
       + 8*a33*m1  *n1 *n2 *n3  - 8*a33*m1  *n1 *n2 *n3

                 10      14   7            10      14   5   2
       + 2*a33*m1  *m2*n1  *n2  - 16*a33*m1  *m2*n1  *n2 *n3

                  10      14   3   4            10      14      6
       + 32*a33*m1  *m2*n1  *n2 *n3  - 16*a33*m1  *m2*n1  *n2*n3

                 10      12   9           10      12   7   2
       + 2*a33*m1  *m2*n1  *n2  + 6*a33*m1  *m2*n1  *n2 *n3

                  10      12   5   4            10      12   3   6
       - 56*a33*m1  *m2*n1  *n2 *n3  + 72*a33*m1  *m2*n1  *n2 *n3

                 10      10   11            10      10   9   2
       - 2*a33*m1  *m2*n1  *n2   + 16*a33*m1  *m2*n1  *n2 *n3

                  10      10   7   4            10      10   5   6
       - 32*a33*m1  *m2*n1  *n2 *n3  + 16*a33*m1  *m2*n1  *n2 *n3

                 10      8   13           10      8   11   2
       - 2*a33*m1  *m2*n1 *n2   - 6*a33*m1  *m2*n1 *n2  *n3

                  10      8   9   4            10      8   7   6
       + 56*a33*m1  *m2*n1 *n2 *n3  - 72*a33*m1  *m2*n1 *n2 *n3

                 9   2   15   6            9   2   15   4   2
       - 8*a33*m1 *m2 *n1  *n2  + 36*a33*m1 *m2 *n1  *n2 *n3

                  9   2   15   2   4           9   2   15   6
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                 9   2   13   8            9   2   13   6   2
       + 4*a33*m1 *m2 *n1  *n2  - 88*a33*m1 *m2 *n1  *n2 *n3

                   9   2   13   4   4             9   2   13   2   6
       + 240*a33*m1 *m2 *n1  *n2 *n3  - 144*a33*m1 *m2 *n1  *n2 *n3

                  9   2   11   10            9   2   11   8   2
       + 20*a33*m1 *m2 *n1  *n2   - 50*a33*m1 *m2 *n1  *n2 *n3

                   9   2   11   6   4             9   2   11   4   6
       - 120*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                 9   2   9   12            9   2   9   10   2
       - 4*a33*m1 *m2 *n1 *n2   + 88*a33*m1 *m2 *n1 *n2  *n3

                   9   2   9   8   4             9   2   9   6   6
       - 240*a33*m1 *m2 *n1 *n2 *n3  + 144*a33*m1 *m2 *n1 *n2 *n3

                  9   2   7   14            9   2   7   12   2
       - 12*a33*m1 *m2 *n1 *n2   + 14*a33*m1 *m2 *n1 *n2  *n3

                   9   2   7   10   4             9   2   7   8   6
       + 160*a33*m1 *m2 *n1 *n2  *n3  - 288*a33*m1 *m2 *n1 *n2 *n3

                  8   3   16   5            8   3   16   3   2
       + 12*a33*m1 *m2 *n1  *n2  - 32*a33*m1 *m2 *n1  *n2 *n3

                  8   3   16      4            8   3   14   7
       + 16*a33*m1 *m2 *n1  *n2*n3  - 36*a33*m1 *m2 *n1  *n2

                   8   3   14   5   2             8   3   14   3   4
       + 228*a33*m1 *m2 *n1  *n2 *n3  - 312*a33*m1 *m2 *n1  *n2 *n3

                  8   3   14      6            8   3   12   9
       + 72*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                   8   3   12   7   2             8   3   12   5   4
       - 136*a33*m1 *m2 *n1  *n2 *n3  + 752*a33*m1 *m2 *n1  *n2 *n3

                   8   3   12   3   6            8   3   10   11
       - 576*a33*m1 *m2 *n1  *n2 *n3  + 66*a33*m1 *m2 *n1  *n2

                   8   3   10   9   2            8   3   10   7   4
       - 326*a33*m1 *m2 *n1  *n2 *n3  + 88*a33*m1 *m2 *n1  *n2 *n3

                   8   3   10   5   6            8   3   8   13
       + 600*a33*m1 *m2 *n1  *n2 *n3  + 18*a33*m1 *m2 *n1 *n2

                   8   3   8   11   2             8   3   8   9   4
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 768*a33*m1 *m2 *n1 *n2 *n3

                   8   3   8   7   6            8   3   6   15
       + 576*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                  8   3   6   13   2             8   3   6   11   4
       + 98*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   8   3   6   9   6           7   4   17   4
       - 672*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2

                  7   4   17   2   2            7   4   15   6
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2

                   7   4   15   4   2             7   4   15   2   4
       - 216*a33*m1 *m2 *n1  *n2 *n3  + 128*a33*m1 *m2 *n1  *n2 *n3

                  7   4   13   8             7   4   13   6   2
       - 40*a33*m1 *m2 *n1  *n2  + 578*a33*m1 *m2 *n1  *n2 *n3

                    7   4   13   4   4             7   4   13   2   6
       - 1056*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                   7   4   11   10             7   4   11   8   2
       - 144*a33*m1 *m2 *n1  *n2   + 160*a33*m1 *m2 *n1  *n2 *n3

                    7   4   11   6   4              7   4   11   4   6
       + 1216*a33*m1 *m2 *n1  *n2 *n3  - 1344*a33*m1 *m2 *n1  *n2 *n3

                  7   4   9   12             7   4   9   10   2
       + 88*a33*m1 *m2 *n1 *n2   - 798*a33*m1 *m2 *n1 *n2  *n3

                   7   4   9   8   4             7   4   9   6   6
       + 944*a33*m1 *m2 *n1 *n2 *n3  + 720*a33*m1 *m2 *n1 *n2 *n3

                  7   4   7   14            7   4   7   12   2
       + 80*a33*m1 *m2 *n1 *n2   + 56*a33*m1 *m2 *n1 *n2  *n3

                    7   4   7   10   4              7   4   7   8   6
       - 1344*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                  7   4   5   16             7   4   5   14   2
       - 40*a33*m1 *m2 *n1 *n2   + 210*a33*m1 *m2 *n1 *n2  *n3

                   7   4   5   12   4              7   4   5   10   6
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 1008*a33*m1 *m2 *n1 *n2  *n3

                 6   5   18   3            6   5   16   5
       + 2*a33*m1 *m2 *n1  *n2  - 46*a33*m1 *m2 *n1  *n2

                  6   5   16   3   2             6   5   14   7
       + 70*a33*m1 *m2 *n1  *n2 *n3  + 130*a33*m1 *m2 *n1  *n2

                   6   5   14   5   2             6   5   14   3   4
       - 616*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                  6   5   12   9             6   5   12   7   2
       + 66*a33*m1 *m2 *n1  *n2  + 686*a33*m1 *m2 *n1  *n2 *n3

                    6   5   12   5   4             6   5   12   3   6
       - 2016*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   11             6   5   10   9   2
       - 262*a33*m1 *m2 *n1  *n2   + 896*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   7   4              6   5   10   5   6
       + 896*a33*m1 *m2 *n1  *n2 *n3  - 2016*a33*m1 *m2 *n1  *n2 *n3

                  6   5   8   13             6   5   8   11   2
       + 10*a33*m1 *m2 *n1 *n2   - 994*a33*m1 *m2 *n1 *n2  *n3

                    6   5   8   9   4             6   5   8   7   6
       + 2128*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                   6   5   6   15             6   5   6   13   2
       + 130*a33*m1 *m2 *n1 *n2   - 280*a33*m1 *m2 *n1 *n2  *n3

                    6   5   6   11   4              6   5   6   9   6
       - 1344*a33*m1 *m2 *n1 *n2  *n3  + 2016*a33*m1 *m2 *n1 *n2 *n3

                  6   5   4   17             6   5   4   15   2
       - 30*a33*m1 *m2 *n1 *n2   + 238*a33*m1 *m2 *n1 *n2  *n3

                   6   5   4   13   4              6   5   4   11   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 1008*a33*m1 *m2 *n1 *n2  *n3

                  5   6   17   4             5   6   15   6
       + 12*a33*m1 *m2 *n1  *n2  - 108*a33*m1 *m2 *n1  *n2

                   5   6   15   4   2             5   6   13   8
       + 210*a33*m1 *m2 *n1  *n2 *n3  + 108*a33*m1 *m2 *n1  *n2

                   5   6   13   6   2             5   6   13   4   4
       - 952*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                   5   6   11   10             5   6   11   8   2
       + 228*a33*m1 *m2 *n1  *n2   + 210*a33*m1 *m2 *n1  *n2 *n3

                    5   6   11   6   4              5   6   11   4   6
       - 2352*a33*m1 *m2 *n1  *n2 *n3  + 1008*a33*m1 *m2 *n1  *n2 *n3

                   5   6   9   12              5   6   9   10   2
       - 228*a33*m1 *m2 *n1 *n2   + 1456*a33*m1 *m2 *n1 *n2  *n3

                   5   6   9   8   4              5   6   9   6   6
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 2016*a33*m1 *m2 *n1 *n2 *n3

                   5   6   7   14             5   6   7   12   2
       - 108*a33*m1 *m2 *n1 *n2   - 574*a33*m1 *m2 *n1 *n2  *n3

                    5   6   7   10   4             5   6   7   8   6
       + 2576*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                   5   6   5   16             5   6   5   14   2
       + 108*a33*m1 *m2 *n1 *n2   - 504*a33*m1 *m2 *n1 *n2  *n3

                   5   6   5   12   4              5   6   5   10   6
       - 672*a33*m1 *m2 *n1 *n2  *n3  + 2016*a33*m1 *m2 *n1 *n2  *n3

                  5   6   3   18             5   6   3   16   2
       - 12*a33*m1 *m2 *n1 *n2   + 154*a33*m1 *m2 *n1 *n2  *n3

                   5   6   3   14   4             5   6   3   12   6
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2  *n3

                  4   7   16   5             4   7   14   7
       + 30*a33*m1 *m2 *n1  *n2  - 130*a33*m1 *m2 *n1  *n2

                   4   7   14   5   2            4   7   12   9
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 10*a33*m1 *m2 *n1  *n2

                   4   7   12   7   2              4   7   12   5   4
       - 840*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                   4   7   10   11             4   7   10   9   2
       + 262*a33*m1 *m2 *n1  *n2   - 434*a33*m1 *m2 *n1  *n2 *n3

                    4   7   10   7   4              4   7   10   5   6
       - 1680*a33*m1 *m2 *n1  *n2 *n3  + 1008*a33*m1 *m2 *n1  *n2 *n3

                  4   7   8   13              4   7   8   11   2
       - 66*a33*m1 *m2 *n1 *n2   + 1232*a33*m1 *m2 *n1 *n2  *n3

                    4   7   8   9   4              4   7   8   7   6
       - 1120*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                   4   7   6   15            4   7   6   13   2
       - 130*a33*m1 *m2 *n1 *n2   + 30*a33*m1 *m2 *n1 *n2  *n3

                    4   7   6   11   4             4   7   6   9   6
       + 1840*a33*m1 *m2 *n1 *n2  *n3  - 720*a33*m1 *m2 *n1 *n2 *n3

                  4   7   4   17             4   7   4   15   2
       + 46*a33*m1 *m2 *n1 *n2   - 392*a33*m1 *m2 *n1 *n2  *n3

                    4   7   4   11   6           4   7   2   19
       + 1344*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1 *n2

                  4   7   2   17   2             4   7   2   15   4
       + 54*a33*m1 *m2 *n1 *n2  *n3  - 160*a33*m1 *m2 *n1 *n2  *n3

                   4   7   2   13   6            3   8   15   6
       - 288*a33*m1 *m2 *n1 *n2  *n3  + 40*a33*m1 *m2 *n1  *n2

                  3   8   13   8             3   8   13   6   2
       - 80*a33*m1 *m2 *n1  *n2  + 350*a33*m1 *m2 *n1  *n2 *n3

                  3   8   11   10             3   8   11   8   2
       - 88*a33*m1 *m2 *n1  *n2   - 392*a33*m1 *m2 *n1  *n2 *n3

                   3   8   11   6   4             3   8   9   12
       + 896*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1 *n2

                   3   8   9   10   2             3   8   9   8   4
       - 602*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                   3   8   9   6   6            3   8   7   14
       + 672*a33*m1 *m2 *n1 *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                   3   8   7   12   2              3   8   7   10   4
       + 544*a33*m1 *m2 *n1 *n2  *n3  - 1088*a33*m1 *m2 *n1 *n2  *n3

                   3   8   7   8   6            3   8   5   16
       - 576*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2

                   3   8   5   14   2             3   8   5   12   4
       + 244*a33*m1 *m2 *n1 *n2  *n3  + 728*a33*m1 *m2 *n1 *n2  *n3

                   3   8   5   10   6           3   8   3   18
       - 600*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2

                   3   8   3   16   2             3   8   3   14   4
       - 152*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                   3   8   3   12   6           3   8      18   2
       + 576*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                  3   8      16   4            3   8      14   6
       - 56*a33*m1 *m2 *n1*n2  *n3  - 72*a33*m1 *m2 *n1*n2  *n3

                  2   9   14   7            2   9   12   9
       + 30*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                   2   9   12   7   2            2   9   10   11
       + 210*a33*m1 *m2 *n1  *n2 *n3  - 66*a33*m1 *m2 *n1  *n2

                  2   9   10   9   2             2   9   10   7   4
       - 56*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                  2   9   8   13             2   9   8   11   2
       + 30*a33*m1 *m2 *n1 *n2   - 342*a33*m1 *m2 *n1 *n2  *n3

                  2   9   8   9   4             2   9   8   7   6
       - 96*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                  2   9   6   15            2   9   6   13   2
       + 36*a33*m1 *m2 *n1 *n2   + 80*a33*m1 *m2 *n1 *n2  *n3

                   2   9   6   11   4             2   9   6   9   6
       - 544*a33*m1 *m2 *n1 *n2  *n3  - 144*a33*m1 *m2 *n1 *n2 *n3

                  2   9   4   17             2   9   4   15   2
       - 12*a33*m1 *m2 *n1 *n2   + 132*a33*m1 *m2 *n1 *n2  *n3

                   2   9   4   13   4             2   9   4   11   6
       + 104*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

                  2   9   2   17   2            2   9   2   15   4
       - 24*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2  *n3

                   2   9   2   13   6           2   9   17   4
       + 144*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                 2   9   15   6               10   13   8
       - 8*a33*m1 *m2 *n2  *n3  + 12*a33*m1*m2  *n1  *n2

                    10   11   10               10   11   8   2
       + 4*a33*m1*m2  *n1  *n2   + 70*a33*m1*m2  *n1  *n2 *n3

                     10   9   12               10   9   10   2
       - 20*a33*m1*m2  *n1 *n2   + 24*a33*m1*m2  *n1 *n2  *n3

                      10   9   8   4              10   7   14
       + 128*a33*m1*m2  *n1 *n2 *n3  - 4*a33*m1*m2  *n1 *n2

                     10   7   12   2               10   7   10   4
       - 94*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                     10   7   8   6              10   5   16
       + 72*a33*m1*m2  *n1 *n2 *n3  + 8*a33*m1*m2  *n1 *n2

                     10   5   14   2                10   5   12   4
       - 24*a33*m1*m2  *n1 *n2  *n3  - 144*a33*m1*m2  *n1 *n2  *n3

                     10   5   10   6               10   3   16   2
       - 16*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                     10   3   14   4               10   3   12   6
       - 24*a33*m1*m2  *n1 *n2  *n3  - 72*a33*m1*m2  *n1 *n2  *n3

                     10      16   4               10      14   6
       + 16*a33*m1*m2  *n1*n2  *n3  + 16*a33*m1*m2  *n1*n2  *n3

                 11   12   9           11   10   11            11   10   9   2
       + 2*a33*m2  *n1  *n2  + 2*a33*m2  *n1  *n2   + 10*a33*m2  *n1  *n2 *n3

                 11   8   13           11   8   11   2            11   8   9   4
       - 2*a33*m2  *n1 *n2   + 8*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

                 11   6   15            11   6   13   2
       - 2*a33*m2  *n1 *n2   - 10*a33*m2  *n1 *n2  *n3

                 11   6   11   4           11   6   9   6
       + 8*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2 *n3

                 11   4   15   2            11   4   13   4
       - 8*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2  *n3

                 11   2   15   4           11   2   13   6         2
       - 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3 ) + u3*v3 *(

           10   14   6   3       10   14   4   5       10   14   2   7
       - m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

           10   12   8   3       10   12   6   5       10   12   4   7
       - m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

           10   10   10   3       10   10   8   5       10   10   6   7
       + m1  *n1  *n2  *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

           10   8   12   3       10   8   10   5       10   8   8   7
       + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3

           9      15   7          9      15   5   3        9      15   3   5
       - m1 *m2*n1  *n2 *n3 + 8*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3

             9      15      7       9      13   9          9      13   7   3
       + 8*m1 *m2*n1  *n2*n3  - 2*m1 *m2*n1  *n2 *n3 + 6*m1 *m2*n1  *n2 *n3

             9      13   5   5        9      13   3   7        9      11   9   3
       + 8*m1 *m2*n1  *n2 *n3  - 24*m1 *m2*n1  *n2 *n3  - 10*m1 *m2*n1  *n2 *n3

              9      11   7   5        9      11   5   7       9      9   13
       + 40*m1 *m2*n1  *n2 *n3  - 40*m1 *m2*n1  *n2 *n3  + 2*m1 *m2*n1 *n2  *n3

             9      9   11   3       9      9   9   5        9      9   7   7
       - 6*m1 *m2*n1 *n2  *n3  - 8*m1 *m2*n1 *n2 *n3  + 24*m1 *m2*n1 *n2 *n3

           9      7   15          9      7   13   3        9      7   11   5
       + m1 *m2*n1 *n2  *n3 + 2*m1 *m2*n1 *n2  *n3  - 24*m1 *m2*n1 *n2  *n3

              9      7   9   7       8   2   16   6           8   2   16   4   3
       + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2 *n3 - 18*m1 *m2 *n1  *n2 *n3

              8   2   16   2   5       8   2   16   7       8   2   14   8
       + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  + 3*m1 *m2 *n1  *n2 *n3

              8   2   14   6   3        8   2   14   4   5
       + 18*m1 *m2 *n1  *n2 *n3  - 84*m1 *m2 *n1  *n2 *n3

              8   2   14   2   7        8   2   12   10
       + 60*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2  *n3

              8   2   12   8   3        8   2   12   6   5
       + 63*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2 *n3

              8   2   12   4   7       8   2   10   12
       - 44*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2  *n3

             8   2   10   10   3         8   2   10   8   5
       - 9*m1 *m2 *n1  *n2  *n3  + 140*m1 *m2 *n1  *n2 *n3

               8   2   10   6   7       8   2   8   14
       - 172*m1 *m2 *n1  *n2 *n3  + 6*m1 *m2 *n1 *n2  *n3

              8   2   8   12   3        8   2   8   10   5
       - 45*m1 *m2 *n1 *n2  *n3  + 48*m1 *m2 *n1 *n2  *n3

              8   2   8   8   7       8   2   6   16          8   2   6   14   3
       + 48*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2  *n3 - 9*m1 *m2 *n1 *n2  *n3

              8   2   6   12   5         8   2   6   10   7
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

             7   3   17   5           7   3   17   3   3       7   3   17      5
       - 6*m1 *m2 *n1  *n2 *n3 + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3

             7   3   15   7           7   3   15   5   3
       + 8*m1 *m2 *n1  *n2 *n3 - 80*m1 *m2 *n1  *n2 *n3

               7   3   15   3   5        7   3   15      7
       + 128*m1 *m2 *n1  *n2 *n3  - 32*m1 *m2 *n1  *n2*n3

              7   3   13   9           7   3   13   7   3
       + 30*m1 *m2 *n1  *n2 *n3 - 64*m1 *m2 *n1  *n2 *n3

               7   3   13   5   5         7   3   13   3   7
       - 136*m1 *m2 *n1  *n2 *n3  + 192*m1 *m2 *n1  *n2 *n3

             7   3   11   11            7   3   11   9   3
       - 8*m1 *m2 *n1  *n2  *n3 + 168*m1 *m2 *n1  *n2 *n3

               7   3   11   7   5        7   3   11   5   7
       - 352*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

              7   3   9   13           7   3   9   11   3
       - 34*m1 *m2 *n1 *n2  *n3 + 88*m1 *m2 *n1 *n2  *n3

               7   3   9   9   5         7   3   9   7   7
       + 200*m1 *m2 *n1 *n2 *n3  - 416*m1 *m2 *n1 *n2 *n3

              7   3   7   13   3         7   3   7   11   5
       - 88*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

              7   3   5   17           7   3   5   15   3
       + 10*m1 *m2 *n1 *n2  *n3 - 40*m1 *m2 *n1 *n2  *n3

              7   3   5   13   5         7   3   5   11   7
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

             6   4   18   4          6   4   18   2   3        6   4   16   6
       + 4*m1 *m2 *n1  *n2 *n3 - 5*m1 *m2 *n1  *n2 *n3  - 22*m1 *m2 *n1  *n2 *n3

              6   4   16   4   3        6   4   16   2   5
       + 87*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   14   8            6   4   14   6   3
       - 20*m1 *m2 *n1  *n2 *n3 - 101*m1 *m2 *n1  *n2 *n3

               6   4   14   4   5         6   4   14   2   7
       + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   4   12   10            6   4   12   8   3
       + 62*m1 *m2 *n1  *n2  *n3 - 305*m1 *m2 *n1  *n2 *n3

              6   4   12   6   5         6   4   12   4   7
       + 56*m1 *m2 *n1  *n2 *n3  + 336*m1 *m2 *n1  *n2 *n3

              6   4   10   12            6   4   10   10   3
       + 36*m1 *m2 *n1  *n2  *n3 + 151*m1 *m2 *n1  *n2  *n3

               6   4   10   8   5         6   4   10   6   7
       - 728*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   4   8   14            6   4   8   12   3
       - 50*m1 *m2 *n1 *n2  *n3 + 283*m1 *m2 *n1 *n2  *n3

               6   4   8   8   7        6   4   6   16
       - 616*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2  *n3

              6   4   6   14   3         6   4   6   12   5
       - 45*m1 *m2 *n1 *n2  *n3  + 392*m1 *m2 *n1 *n2  *n3

               6   4   6   10   7        6   4   4   18
       - 168*m1 *m2 *n1 *n2  *n3  + 10*m1 *m2 *n1 *n2  *n3

              6   4   4   16   3         6   4   4   12   7
       - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3

           5   5   19   3           5   5   17   5           5   5   17   3   3
       - m1 *m2 *n1  *n2 *n3 + 18*m1 *m2 *n1  *n2 *n3 - 30*m1 *m2 *n1  *n2 *n3

              5   5   15   7            5   5   15   5   3
       - 20*m1 *m2 *n1  *n2 *n3 + 186*m1 *m2 *n1  *n2 *n3

               5   5   15   3   5        5   5   13   9
       - 168*m1 *m2 *n1  *n2 *n3  - 78*m1 *m2 *n1  *n2 *n3

              5   5   13   7   3         5   5   13   5   5
       + 66*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

               5   5   13   3   7        5   5   11   11
       - 224*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2  *n3

               5   5   11   9   3         5   5   11   7   5
       - 486*m1 *m2 *n1  *n2 *n3  + 504*m1 *m2 *n1  *n2 *n3

               5   5   11   5   7        5   5   9   13
       + 336*m1 *m2 *n1  *n2 *n3  + 90*m1 *m2 *n1 *n2  *n3

               5   5   9   11   3         5   5   9   9   5
       - 102*m1 *m2 *n1 *n2  *n3  - 784*m1 *m2 *n1 *n2 *n3

               5   5   9   7   7        5   5   7   15
       + 560*m1 *m2 *n1 *n2 *n3  - 20*m1 *m2 *n1 *n2  *n3

               5   5   7   13   3         5   5   7   11   5
       + 354*m1 *m2 *n1 *n2  *n3  - 392*m1 *m2 *n1 *n2  *n3

               5   5   7   9   7        5   5   5   17
       - 560*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              5   5   5   15   3         5   5   5   13   5
       + 66*m1 *m2 *n1 *n2  *n3  + 336*m1 *m2 *n1 *n2  *n3

               5   5   5   11   7       5   5   3   19
       - 336*m1 *m2 *n1 *n2  *n3  + 5*m1 *m2 *n1 *n2  *n3

              5   5   3   17   3        5   5   3   15   5
       - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   5   3   13   7       4   6   18   4
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2 *n3

              4   6   16   6           4   6   16   4   3
       + 30*m1 *m2 *n1  *n2 *n3 - 75*m1 *m2 *n1  *n2 *n3

              4   6   14   8            4   6   14   6   3
       + 20*m1 *m2 *n1  *n2 *n3 + 185*m1 *m2 *n1  *n2 *n3

               4   6   14   4   5        4   6   12   10
       - 280*m1 *m2 *n1  *n2 *n3  - 90*m1 *m2 *n1  *n2  *n3

               4   6   12   8   3         4   6   12   6   5
       + 305*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

               4   6   12   4   7        4   6   10   12
       - 280*m1 *m2 *n1  *n2 *n3  - 36*m1 *m2 *n1  *n2  *n3

               4   6   10   10   3         4   6   10   8   5
       - 347*m1 *m2 *n1  *n2  *n3  + 784*m1 *m2 *n1  *n2 *n3

               4   6   10   6   7        4   6   8   14
       + 168*m1 *m2 *n1  *n2 *n3  + 78*m1 *m2 *n1 *n2  *n3

               4   6   8   12   3         4   6   8   10   5
       - 339*m1 *m2 *n1 *n2  *n3  - 392*m1 *m2 *n1 *n2  *n3

               4   6   8   8   7        4   6   6   16
       + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2  *n3

               4   6   6   14   3         4   6   6   12   5
       + 185*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2  *n3

               4   6   6   10   7        4   6   4   18
       - 280*m1 *m2 *n1 *n2  *n3  - 18*m1 *m2 *n1 *n2  *n3

               4   6   4   16   3         4   6   4   14   5
       + 109*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

               4   6   4   12   7     4   6   2   20
       - 336*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2  *n3

              4   6   2   18   3        4   6   2   16   5
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   2   14   7        3   7   17   5
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2 *n3

              3   7   15   7            3   7   15   5   3
       + 20*m1 *m2 *n1  *n2 *n3 - 100*m1 *m2 *n1  *n2 *n3

              3   7   13   9           3   7   13   7   3
       + 50*m1 *m2 *n1  *n2 *n3 + 60*m1 *m2 *n1  *n2 *n3

               3   7   13   5   5        3   7   11   11
       - 280*m1 *m2 *n1  *n2 *n3  - 36*m1 *m2 *n1  *n2  *n3

               3   7   11   9   3         3   7   11   5   7
       + 332*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              3   7   9   13           3   7   9   11   3
       - 62*m1 *m2 *n1 *n2  *n3 - 52*m1 *m2 *n1 *n2  *n3

               3   7   9   9   5        3   7   7   15
       + 616*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2  *n3

               3   7   7   13   3        3   7   7   11   5
       - 292*m1 *m2 *n1 *n2  *n3  + 32*m1 *m2 *n1 *n2  *n3

               3   7   7   9   7        3   7   5   17
       + 416*m1 *m2 *n1 *n2 *n3  + 22*m1 *m2 *n1 *n2  *n3

             3   7   5   15   3         3   7   5   13   5
       - 4*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

              3   7   5   11   7       3   7   3   19
       - 32*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1 *n2  *n3

              3   7   3   17   3        3   7   3   15   5
       + 60*m1 *m2 *n1 *n2  *n3  - 32*m1 *m2 *n1 *n2  *n3

               3   7   3   13   7       3   7      19   3
       - 192*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1*n2  *n3

              3   7      17   5        3   7      15   7
       + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   8   16   6           2   8   14   6   3
       - 10*m1 *m2 *n1  *n2 *n3 - 75*m1 *m2 *n1  *n2 *n3

              2   8   12   10           2   8   12   8   3
       + 34*m1 *m2 *n1  *n2  *n3 - 39*m1 *m2 *n1  *n2 *n3

               2   8   12   6   5       2   8   10   12
       - 168*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2  *n3

               2   8   10   10   3         2   8   10   8   5
       + 165*m1 *m2 *n1  *n2  *n3  - 112*m1 *m2 *n1  *n2 *n3

               2   8   10   6   7        2   8   8   14
       - 112*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              2   8   8   12   3         2   8   8   10   5
       + 81*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2  *n3

              2   8   8   8   7       2   8   6   16
       - 48*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2  *n3

               2   8   6   14   3         2   8   6   12   5
       - 102*m1 *m2 *n1 *n2  *n3  + 148*m1 *m2 *n1 *n2  *n3

               2   8   6   10   7       2   8   4   18
       + 172*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1 *n2  *n3

              2   8   4   16   3         2   8   4   14   5
       - 42*m1 *m2 *n1 *n2  *n3  - 100*m1 *m2 *n1 *n2  *n3

              2   8   4   12   7        2   8   2   18   3
       + 44*m1 *m2 *n1 *n2  *n3  + 12*m1 *m2 *n1 *n2  *n3

              2   8   2   16   5        2   8   2   14   7       2   8   18   5
       - 36*m1 *m2 *n1 *n2  *n3  - 60*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3

             2   8   16   7          9   15   7             9   13   9
       + 4*m1 *m2 *n2  *n3  - 5*m1*m2 *n1  *n2 *n3 - 6*m1*m2 *n1  *n2 *n3

                 9   13   7   3          9   11   11              9   11   9   3
       - 30*m1*m2 *n1  *n2 *n3  + 8*m1*m2 *n1  *n2  *n3 - 38*m1*m2 *n1  *n2 *n3

                 9   11   7   5           9   9   13              9   9   11   3
       - 56*m1*m2 *n1  *n2 *n3  + 10*m1*m2 *n1 *n2  *n3 + 34*m1*m2 *n1 *n2  *n3

                 9   9   9   5           9   9   7   7          9   7   15
       - 64*m1*m2 *n1 *n2 *n3  - 32*m1*m2 *n1 *n2 *n3  - 3*m1*m2 *n1 *n2  *n3

                 9   7   13   3           9   7   11   5           9   7   9   7
       + 50*m1*m2 *n1 *n2  *n3  + 56*m1*m2 *n1 *n2  *n3  - 24*m1*m2 *n1 *n2 *n3

                9   5   17             9   5   15   3           9   5   13   5
       - 4*m1*m2 *n1 *n2  *n3 - 4*m1*m2 *n1 *n2  *n3  + 72*m1*m2 *n1 *n2  *n3

                 9   5   11   7           9   3   17   3
       + 40*m1*m2 *n1 *n2  *n3  - 12*m1*m2 *n1 *n2  *n3

                 9   3   13   7          9      17   5          9      15   7
       + 24*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1*n2  *n3  - 8*m1*m2 *n1*n2  *n3

           10   14   8          10   12   10          10   12   8   3
       - m2  *n1  *n2 *n3 - 2*m2  *n1  *n2  *n3 - 5*m2  *n1  *n2 *n3

             10   10   10   3       10   10   8   5       10   8   14
       - 9*m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3  + 2*m2  *n1 *n2  *n3

           10   8   12   3        10   8   10   5       10   8   8   7
       + m2  *n1 *n2  *n3  - 12*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2 *n3

           10   6   16          10   6   14   3       10   6   12   5
       + m2  *n1 *n2  *n3 + 9*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             10   6   10   7       10   4   16   3        10   4   14   5
       - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 12*m2  *n1 *n2  *n3

             10   4   12   7       10   2   16   5       10   2   14   7      3
       + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3 ) + v1 *

      11   14   6   2       11   14   4   4       11   14   2   6
   (m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

         11   12   8   2       11   12   6   4       11   12   4   6
     - m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

         11   10   10   2       11   10   8   4       11   10   6   6
     - m1  *n1  *n2  *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

         11   8   12   2       11   8   10   4       11   8   8   6
     + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3

         10      15   7       10      15   5   2        10      15   3   4
     + m1  *m2*n1  *n2  - 8*m1  *m2*n1  *n2 *n3  + 16*m1  *m2*n1  *n2 *n3

           10      15      6        10      13   7   2        10      13   5   4
     - 8*m1  *m2*n1  *n2*n3  + 12*m1  *m2*n1  *n2 *n3  - 48*m1  *m2*n1  *n2 *n3

            10      13   3   6       10      11   11       10      11   9   2
     + 48*m1  *m2*n1  *n2 *n3  - 2*m1  *m2*n1  *n2   + 6*m1  *m2*n1  *n2 *n3

           10      11   7   4        10      11   5   6
     + 8*m1  *m2*n1  *n2 *n3  - 24*m1  *m2*n1  *n2 *n3

            10      9   11   2        10      9   9   4        10      9   7   6
     - 12*m1  *m2*n1 *n2  *n3  + 48*m1  *m2*n1 *n2 *n3  - 48*m1  *m2*n1 *n2 *n3

         10      7   15       10      7   13   2        10      7   11   4
     + m1  *m2*n1 *n2   + 2*m1  *m2*n1 *n2  *n3  - 24*m1  *m2*n1 *n2  *n3

            10      7   9   6       9   2   16   6        9   2   16   4   2
     + 32*m1  *m2*n1 *n2 *n3  - 4*m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2 *n3

            9   2   16   2   4       9   2   16   6       9   2   14   8
     - 20*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3  + 7*m1 *m2 *n1  *n2

            9   2   14   6   2         9   2   14   4   4
     - 70*m1 *m2 *n1  *n2 *n3  + 156*m1 *m2 *n1  *n2 *n3

            9   2   14   2   6        9   2   12   10        9   2   12   8   2
     - 84*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1  *n2   + 13*m1 *m2 *n1  *n2 *n3

             9   2   12   6   4         9   2   12   4   6
     - 188*m1 *m2 *n1  *n2 *n3  + 236*m1 *m2 *n1  *n2 *n3

            9   2   10   12        9   2   10   10   2
     - 12*m1 *m2 *n1  *n2   + 79*m1 *m2 *n1  *n2  *n3

             9   2   10   8   4        9   2   10   6   6       9   2   8   14
     - 100*m1 *m2 *n1  *n2 *n3  - 28*m1 *m2 *n1  *n2 *n3  - 6*m1 *m2 *n1 *n2

            9   2   8   12   2         9   2   8   10   4
     - 31*m1 *m2 *n1 *n2  *n3  + 208*m1 *m2 *n1 *n2  *n3

             9   2   8   8   6       9   2   6   16       9   2   6   14   2
     - 240*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2   - 9*m1 *m2 *n1 *n2  *n3

            9   2   6   12   4         9   2   6   10   6       8   3   17   5
     - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1  *n2

            8   3   17   3   2       8   3   17      4        8   3   15   7
     - 16*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2*n3  - 28*m1 *m2 *n1  *n2

             8   3   15   5   2         8   3   15   3   4
     + 148*m1 *m2 *n1  *n2 *n3  - 184*m1 *m2 *n1  *n2 *n3

            8   3   15      6         8   3   13   7   2
     + 40*m1 *m2 *n1  *n2*n3  - 200*m1 *m2 *n1  *n2 *n3

             8   3   13   5   4         8   3   13   3   6
     + 616*m1 *m2 *n1  *n2 *n3  - 384*m1 *m2 *n1  *n2 *n3

            8   3   11   11         8   3   11   9   2
     + 58*m1 *m2 *n1  *n2   - 158*m1 *m2 *n1  *n2 *n3

             8   3   11   7   4         8   3   11   5   6        8   3   9   13
     - 264*m1 *m2 *n1  *n2 *n3  + 632*m1 *m2 *n1  *n2 *n3  - 16*m1 *m2 *n1 *n2

             8   3   9   11   2         8   3   9   9   4
     + 256*m1 *m2 *n1 *n2  *n3  - 568*m1 *m2 *n1 *n2 *n3

             8   3   9   7   6        8   3   7   15        8   3   7   13   2
     + 160*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2   + 10*m1 *m2 *n1 *n2  *n3

             8   3   7   11   4         8   3   7   9   6        8   3   5   17
     + 448*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2 *n3  + 10*m1 *m2 *n1 *n2

            8   3   5   15   2        8   3   5   13   4
     - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

             8   3   5   11   6       7   4   18   4       7   4   18   2   2
     + 224*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1  *n2  + 5*m1 *m2 *n1  *n2 *n3

            7   4   16   6         7   4   16   4   2        7   4   16   2   4
     + 42*m1 *m2 *n1  *n2  - 129*m1 *m2 *n1  *n2 *n3  + 72*m1 *m2 *n1  *n2 *n3

            7   4   14   8         7   4   14   6   2         7   4   14   4   4
     - 60*m1 *m2 *n1  *n2  + 477*m1 *m2 *n1  *n2 *n3  - 720*m1 *m2 *n1  *n2 *n3

             7   4   14   2   6        7   4   12   10
     + 176*m1 *m2 *n1  *n2 *n3  - 82*m1 *m2 *n1  *n2

             7   4   12   8   2          7   4   12   6   4
     - 145*m1 *m2 *n1  *n2 *n3  + 1272*m1 *m2 *n1  *n2 *n3

              7   4   12   4   6         7   4   10   12
     - 1008*m1 *m2 *n1  *n2 *n3  + 124*m1 *m2 *n1  *n2

             7   4   10   10   2         7   4   10   8   4
     - 647*m1 *m2 *n1  *n2  *n3  + 216*m1 *m2 *n1  *n2 *n3

              7   4   10   6   6        7   4   8   14
     + 1000*m1 *m2 *n1  *n2 *n3  + 30*m1 *m2 *n1 *n2

             7   4   8   12   2          7   4   8   10   4
     + 339*m1 *m2 *n1 *n2  *n3  - 1344*m1 *m2 *n1 *n2  *n3

             7   4   8   8   6        7   4   6   16         7   4   6   14   2
     + 728*m1 *m2 *n1 *n2 *n3  - 60*m1 *m2 *n1 *n2   + 165*m1 *m2 *n1 *n2  *n3

             7   4   6   12   4          7   4   6   10   6
     + 504*m1 *m2 *n1 *n2  *n3  - 1176*m1 *m2 *n1 *n2  *n3

            7   4   4   18        7   4   4   16   2         7   4   4   12   6
     + 10*m1 *m2 *n1 *n2   - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3

         6   5   19   3        6   5   17   5        6   5   17   3   2
     + m1 *m2 *n1  *n2  - 28*m1 *m2 *n1  *n2  + 40*m1 *m2 *n1  *n2 *n3

             6   5   15   7         6   5   15   5   2
     + 110*m1 *m2 *n1  *n2  - 430*m1 *m2 *n1  *n2 *n3

             6   5   15   3   4        6   5   13   9         6   5   13   7   2
     + 280*m1 *m2 *n1  *n2 *n3  - 12*m1 *m2 *n1  *n2  + 752*m1 *m2 *n1  *n2 *n3

              6   5   13   5   4         6   5   13   3   6
     - 1568*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

             6   5   11   11         6   5   11   9   2
     - 226*m1 *m2 *n1  *n2   + 410*m1 *m2 *n1  *n2 *n3

              6   5   11   7   4          6   5   11   5   6
     + 1400*m1 *m2 *n1  *n2 *n3  - 1680*m1 *m2 *n1  *n2 *n3

             6   5   9   13          6   5   9   11   2
     + 100*m1 *m2 *n1 *n2   - 1096*m1 *m2 *n1 *n2  *n3

              6   5   9   9   4         6   5   9   7   6         6   5   7   15
     + 1344*m1 *m2 *n1 *n2 *n3  + 896*m1 *m2 *n1 *n2 *n3  + 110*m1 *m2 *n1 *n2

            6   5   7   13   2          6   5   7   11   4
     + 74*m1 *m2 *n1 *n2  *n3  - 1736*m1 *m2 *n1 *n2  *n3

              6   5   7   9   6        6   5   5   17         6   5   5   15   2
     + 1456*m1 *m2 *n1 *n2 *n3  - 60*m1 *m2 *n1 *n2   + 304*m1 *m2 *n1 *n2  *n3

             6   5   5   13   4          6   5   5   11   6       6   5   3   19
     + 224*m1 *m2 *n1 *n2  *n3  - 1344*m1 *m2 *n1 *n2  *n3  + 5*m1 *m2 *n1 *n2

            6   5   3   17   2        6   5   3   15   4
     - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

             6   5   3   13   6       5   6   18   4        5   6   16   6
     + 224*m1 *m2 *n1 *n2  *n3  + 7*m1 *m2 *n1  *n2  - 78*m1 *m2 *n1  *n2

             5   6   16   4   2         5   6   14   8
     + 135*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2

             5   6   14   6   2         5   6   14   4   4
     - 767*m1 *m2 *n1  *n2 *n3  + 616*m1 *m2 *n1  *n2 *n3

             5   6   12   10         5   6   12   8   2
     + 138*m1 *m2 *n1  *n2   + 515*m1 *m2 *n1  *n2 *n3

              5   6   12   6   4         5   6   12   4   6
     - 2072*m1 *m2 *n1  *n2 *n3  + 728*m1 *m2 *n1  *n2 *n3

             5   6   10   12          5   6   10   10   2
     - 264*m1 *m2 *n1  *n2   + 1109*m1 *m2 *n1  *n2  *n3

             5   6   10   8   4          5   6   10   6   6
     + 560*m1 *m2 *n1  *n2 *n3  - 1848*m1 *m2 *n1  *n2 *n3

            5   6   8   14         5   6   8   12   2
     - 30*m1 *m2 *n1 *n2   - 913*m1 *m2 *n1 *n2  *n3

              5   6   8   10   4         5   6   8   8   6
     + 2184*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2 *n3

             5   6   6   16         5   6   6   14   2
     + 128*m1 *m2 *n1 *n2   - 319*m1 *m2 *n1 *n2  *n3

              5   6   6   12   4          5   6   6   10   6
     - 1232*m1 *m2 *n1 *n2  *n3  + 1736*m1 *m2 *n1 *n2  *n3

            5   6   4   18         5   6   4   16   2         5   6   4   14   4
     - 30*m1 *m2 *n1 *n2   + 263*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2  *n3

              5   6   4   12   6     5   6   2   20        5   6   2   18   2
     - 1008*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2   - 23*m1 *m2 *n1 *n2  *n3

            5   6   2   16   4         5   6   2   14   6        4   7   17   5
     + 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3  + 20*m1 *m2 *n1  *n2

             4   7   15   7         4   7   15   5   2        4   7   13   9
     - 110*m1 *m2 *n1  *n2  + 250*m1 *m2 *n1  *n2 *n3  + 40*m1 *m2 *n1  *n2

             4   7   13   7   2         4   7   13   5   4
     - 780*m1 *m2 *n1  *n2 *n3  + 840*m1 *m2 *n1  *n2 *n3

             4   7   11   11         4   7   11   9   2
     + 226*m1 *m2 *n1  *n2   - 102*m1 *m2 *n1  *n2 *n3

              4   7   11   7   4         4   7   11   5   6
     - 1680*m1 *m2 *n1  *n2 *n3  + 784*m1 *m2 *n1  *n2 *n3

             4   7   9   13          4   7   9   11   2
     - 128*m1 *m2 *n1 *n2   + 1180*m1 *m2 *n1 *n2  *n3

             4   7   9   9   4          4   7   9   7   6         4   7   7   15
     - 504*m1 *m2 *n1 *n2 *n3  - 1344*m1 *m2 *n1 *n2 *n3  - 110*m1 *m2 *n1 *n2

             4   7   7   13   2          4   7   7   11   4
     - 262*m1 *m2 *n1 *n2  *n3  + 1872*m1 *m2 *n1 *n2  *n3

             4   7   7   9   6        4   7   5   17         4   7   5   15   2
     - 304*m1 *m2 *n1 *n2 *n3  + 68*m1 *m2 *n1 *n2   - 396*m1 *m2 *n1 *n2  *n3

             4   7   5   13   4          4   7   5   11   6       4   7   3   19
     - 360*m1 *m2 *n1 *n2  *n3  + 1312*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1 *n2

             4   7   3   17   2         4   7   3   15   4
     + 114*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2  *n3

             4   7   3   13   6       4   7      19   2        4   7      17   4
     - 480*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1*n2  *n3  + 24*m1 *m2 *n1*n2  *n3

            4   7      15   6        3   8   16   6        3   8   14   8
     + 32*m1 *m2 *n1*n2  *n3  + 30*m1 *m2 *n1  *n2  - 80*m1 *m2 *n1  *n2

             3   8   14   6   2        3   8   12   10
     + 275*m1 *m2 *n1  *n2 *n3  - 54*m1 *m2 *n1  *n2

             3   8   12   8   2         3   8   12   6   4
     - 431*m1 *m2 *n1  *n2 *n3  + 728*m1 *m2 *n1  *n2 *n3

             3   8   10   12         3   8   10   10   2
     + 152*m1 *m2 *n1  *n2   - 437*m1 *m2 *n1  *n2  *n3

             3   8   10   8   4         3   8   10   6   6        3   8   8   14
     - 784*m1 *m2 *n1  *n2 *n3  + 560*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1 *n2

             3   8   8   12   2         3   8   8   10   4
     + 625*m1 *m2 *n1 *n2  *n3  - 824*m1 *m2 *n1 *n2  *n3

             3   8   8   8   6        3   8   6   16         3   8   6   14   2
     - 624*m1 *m2 *n1 *n2 *n3  - 72*m1 *m2 *n1 *n2   + 142*m1 *m2 *n1 *n2  *n3

             3   8   6   12   4         3   8   6   10   6        3   8   4   18
     + 876*m1 *m2 *n1 *n2  *n3  - 428*m1 *m2 *n1 *n2  *n3  + 14*m1 *m2 *n1 *n2

             3   8   4   16   2        3   8   4   14   4
     - 194*m1 *m2 *n1 *n2  *n3  + 92*m1 *m2 *n1 *n2  *n3

             3   8   4   12   6        3   8   2   18   2
     + 620*m1 *m2 *n1 *n2  *n3  + 20*m1 *m2 *n1 *n2  *n3

            3   8   2   16   4         3   8   2   14   6       3   8   18   4
     - 92*m1 *m2 *n1 *n2  *n3  - 132*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3

           3   8   16   6        2   9   15   7        2   9   13   9
     + 4*m1 *m2 *n2  *n3  + 25*m1 *m2 *n1  *n2  - 24*m1 *m2 *n1  *n2

             2   9   13   7   2        2   9   11   11        2   9   11   9   2
     + 180*m1 *m2 *n1  *n2 *n3  - 58*m1 *m2 *n1  *n2   - 94*m1 *m2 *n1  *n2 *n3

             2   9   11   7   4        2   9   9   13         2   9   9   11   2
     + 392*m1 *m2 *n1  *n2 *n3  + 40*m1 *m2 *n1 *n2   - 308*m1 *m2 *n1 *n2  *n3

             2   9   9   9   4         2   9   9   7   6        2   9   7   15
     - 160*m1 *m2 *n1 *n2 *n3  + 256*m1 *m2 *n1 *n2 *n3  + 33*m1 *m2 *n1 *n2

             2   9   7   13   2         2   9   7   11   4
     + 130*m1 *m2 *n1 *n2  *n3  - 488*m1 *m2 *n1 *n2  *n3

             2   9   7   9   6        2   9   5   17         2   9   5   15   2
     - 168*m1 *m2 *n1 *n2 *n3  - 16*m1 *m2 *n1 *n2   + 128*m1 *m2 *n1 *n2  *n3

             2   9   5   13   4         2   9   5   11   6
     + 176*m1 *m2 *n1 *n2  *n3  - 240*m1 *m2 *n1 *n2  *n3

            2   9   3   17   2        2   9   3   15   4
     - 36*m1 *m2 *n1 *n2  *n3  + 96*m1 *m2 *n1 *n2  *n3

             2   9   3   13   6        2   9      17   4
     + 168*m1 *m2 *n1 *n2  *n3  - 16*m1 *m2 *n1*n2  *n3

            2   9      15   6           10   14   8          10   12   10
     - 16*m1 *m2 *n1*n2  *n3  + 11*m1*m2  *n1  *n2  + 2*m1*m2  *n1  *n2

               10   12   8   2           10   10   12           10   10   10   2
     + 65*m1*m2  *n1  *n2 *n3  - 20*m1*m2  *n1  *n2   + 15*m1*m2  *n1  *n2  *n3

                10   10   8   4          10   8   14           10   8   12   2
     + 120*m1*m2  *n1  *n2 *n3  - 2*m1*m2  *n1 *n2   - 93*m1*m2  *n1 *n2  *n3

               10   8   10   4           10   8   8   6          10   6   16
     + 12*m1*m2  *n1 *n2  *n3  + 68*m1*m2  *n1 *n2 *n3  + 9*m1*m2  *n1 *n2

               10   6   14   2            10   6   12   4
     - 15*m1*m2  *n1 *n2  *n3  - 140*m1*m2  *n1 *n2  *n3

               10   6   10   6           10   4   16   2
     - 20*m1*m2  *n1 *n2  *n3  + 28*m1*m2  *n1 *n2  *n3

               10   4   14   4           10   4   12   6
     - 12*m1*m2  *n1 *n2  *n3  - 68*m1*m2  *n1 *n2  *n3

               10   2   16   4           10   2   14   6       11   13   9
     + 20*m1*m2  *n1 *n2  *n3  + 20*m1*m2  *n1 *n2  *n3  + 2*m2  *n1  *n2

           11   11   11        11   11   9   2       11   9   13
     + 2*m2  *n1  *n2   + 10*m2  *n1  *n2 *n3  - 2*m2  *n1 *n2

           11   9   11   2        11   9   9   4       11   7   15
     + 8*m2  *n1 *n2  *n3  + 16*m2  *n1 *n2 *n3  - 2*m2  *n1 *n2

            11   7   13   2       11   7   11   4       11   7   9   6
     - 10*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2 *n3

           11   5   15   2        11   5   13   4       11   3   15   4
     - 8*m2  *n1 *n2  *n3  - 16*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3

           11   3   13   6      2         11   13   7   2       11   13   5   4
     - 8*m2  *n1 *n2  *n3 ) + v1 *v2*(2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3

             11   13   3   6       11   9   11   2       11   9   9   4
       + 8*m1  *n1  *n2 *n3  - 2*m1  *n1 *n2  *n3  + 8*m1  *n1 *n2 *n3

             11   9   7   6       10      14   8        10      14   6   2
       - 8*m1  *n1 *n2 *n3  + 2*m1  *m2*n1  *n2  - 17*m1  *m2*n1  *n2 *n3

              10      14   4   4        10      14   2   6       10      12   10
       + 36*m1  *m2*n1  *n2 *n3  - 20*m1  *m2*n1  *n2 *n3  + 2*m1  *m2*n1  *n2

             10      12   8   2        10      12   6   4
       + 5*m1  *m2*n1  *n2 *n3  - 52*m1  *m2*n1  *n2 *n3

              10      12   4   6       10      10   12
       + 68*m1  *m2*n1  *n2 *n3  - 2*m1  *m2*n1  *n2

              10      10   10   2        10      10   8   4
       + 17*m1  *m2*n1  *n2  *n3  - 36*m1  *m2*n1  *n2 *n3

              10      10   6   6       10      8   14       10      8   12   2
       + 20*m1  *m2*n1  *n2 *n3  - 2*m1  *m2*n1 *n2   - 5*m1  *m2*n1 *n2  *n3

              10      8   10   4        10      8   8   6       9   2   15   7
       + 52*m1  *m2*n1 *n2  *n3  - 68*m1  *m2*n1 *n2 *n3  - 9*m1 *m2 *n1  *n2

              9   2   15   5   2        9   2   15   3   4
       + 44*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              9   2   15      6       9   2   13   9        9   2   13   7   2
       + 16*m1 *m2 *n1  *n2*n3  + 2*m1 *m2 *n1  *n2  - 82*m1 *m2 *n1  *n2 *n3

               9   2   13   5   4         9   2   13   3   6
       + 248*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              9   2   11   11        9   2   11   9   2
       + 20*m1 *m2 *n1  *n2   - 60*m1 *m2 *n1  *n2 *n3

              9   2   11   7   4         9   2   11   5   6       9   2   9   13
       - 80*m1 *m2 *n1  *n2 *n3  + 240*m1 *m2 *n1  *n2 *n3  - 2*m1 *m2 *n1 *n2

              9   2   9   11   2         9   2   9   9   4
       + 82*m1 *m2 *n1 *n2  *n3  - 248*m1 *m2 *n1 *n2 *n3

               9   2   9   7   6        9   2   7   15        9   2   7   13   2
       + 168*m1 *m2 *n1 *n2 *n3  - 11*m1 *m2 *n1 *n2   + 16*m1 *m2 *n1 *n2  *n3

               9   2   7   11   4         9   2   7   9   6
       + 136*m1 *m2 *n1 *n2  *n3  - 256*m1 *m2 *n1 *n2 *n3

              8   3   16   6        8   3   16   4   2        8   3   16   2   4
       + 16*m1 *m2 *n1  *n2  - 50*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2 *n3

             8   3   16   6        8   3   14   8         8   3   14   6   2
       - 4*m1 *m2 *n1  *n3  - 33*m1 *m2 *n1  *n2  + 246*m1 *m2 *n1  *n2 *n3

               8   3   14   4   4         8   3   14   2   6
       - 396*m1 *m2 *n1  *n2 *n3  + 132*m1 *m2 *n1  *n2 *n3

              8   3   12   10        8   3   12   8   2
       - 40*m1 *m2 *n1  *n2   - 73*m1 *m2 *n1  *n2 *n3

               8   3   12   6   4         8   3   12   4   6
       + 684*m1 *m2 *n1  *n2 *n3  - 620*m1 *m2 *n1  *n2 *n3

              8   3   10   12         8   3   10   10   2
       + 58*m1 *m2 *n1  *n2   - 335*m1 *m2 *n1  *n2  *n3

               8   3   10   8   4         8   3   10   6   6
       + 228*m1 *m2 *n1  *n2 *n3  + 428*m1 *m2 *n1  *n2 *n3

              8   3   8   14         8   3   8   12   2
       + 24*m1 *m2 *n1 *n2   + 123*m1 *m2 *n1 *n2  *n3

               8   3   8   10   4         8   3   8   8   6
       - 720*m1 *m2 *n1 *n2  *n3  + 624*m1 *m2 *n1 *n2 *n3

              8   3   6   16        8   3   6   14   2
       - 25*m1 *m2 *n1 *n2   + 89*m1 *m2 *n1 *n2  *n3

               8   3   6   12   4         8   3   6   10   6
       + 168*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2  *n3

              7   4   17   5        7   4   17   3   2       7   4   17      4
       - 14*m1 *m2 *n1  *n2  + 26*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3

              7   4   15   7         7   4   15   5   2
       + 72*m1 *m2 *n1  *n2  - 296*m1 *m2 *n1  *n2 *n3

               7   4   15   3   4        7   4   15      6        7   4   13   9
       + 256*m1 *m2 *n1  *n2 *n3  - 32*m1 *m2 *n1  *n2*n3  - 10*m1 *m2 *n1  *n2

               7   4   13   7   2          7   4   13   5   4
       + 514*m1 *m2 *n1  *n2 *n3  - 1192*m1 *m2 *n1  *n2 *n3

               7   4   13   3   6         7   4   11   11
       + 480*m1 *m2 *n1  *n2 *n3  - 152*m1 *m2 *n1  *n2

               7   4   11   9   2         7   4   11   7   4
       + 328*m1 *m2 *n1  *n2 *n3  + 864*m1 *m2 *n1  *n2 *n3

                7   4   11   5   6        7   4   9   13
       - 1312*m1 *m2 *n1  *n2 *n3  + 54*m1 *m2 *n1 *n2

               7   4   9   11   2          7   4   9   9   4
       - 710*m1 *m2 *n1 *n2  *n3  + 1144*m1 *m2 *n1 *n2 *n3

               7   4   9   7   6        7   4   7   15        7   4   7   13   2
       + 304*m1 *m2 *n1 *n2 *n3  + 80*m1 *m2 *n1 *n2   - 32*m1 *m2 *n1 *n2  *n3

                7   4   7   11   4          7   4   7   9   6
       - 1120*m1 *m2 *n1 *n2  *n3  + 1344*m1 *m2 *n1 *n2 *n3

              7   4   5   17         7   4   5   15   2
       - 30*m1 *m2 *n1 *n2   + 170*m1 *m2 *n1 *n2  *n3

              7   4   5   13   4         7   4   5   11   6       6   5   18   4
       + 56*m1 *m2 *n1 *n2  *n3  - 784*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1  *n2

             6   5   18   2   2        6   5   16   6         6   5   16   4   2
       - 5*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2  + 157*m1 *m2 *n1  *n2 *n3

              6   5   16   2   4         6   5   14   8
       - 56*m1 *m2 *n1  *n2 *n3  + 110*m1 *m2 *n1  *n2

               6   5   14   6   2         6   5   14   4   4
       - 717*m1 *m2 *n1  *n2 *n3  + 784*m1 *m2 *n1  *n2 *n3

               6   5   14   2   6         6   5   12   10
       - 112*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2

               6   5   12   8   2          6   5   12   6   4
       + 381*m1 *m2 *n1  *n2 *n3  - 1960*m1 *m2 *n1  *n2 *n3

                6   5   12   4   6         6   5   10   12
       + 1008*m1 *m2 *n1  *n2 *n3  - 226*m1 *m2 *n1  *n2

                6   5   10   10   2         6   5   10   8   4
       + 1047*m1 *m2 *n1  *n2  *n3  + 168*m1 *m2 *n1  *n2 *n3

                6   5   10   6   6        6   5   8   14
       - 1736*m1 *m2 *n1  *n2 *n3  - 40*m1 *m2 *n1 *n2

               6   5   8   12   2          6   5   8   10   4
       - 711*m1 *m2 *n1 *n2  *n3  + 2128*m1 *m2 *n1 *n2  *n3

               6   5   8   8   6         6   5   6   16
       - 280*m1 *m2 *n1 *n2 *n3  + 110*m1 *m2 *n1 *n2

               6   5   6   14   2         6   5   6   12   4
       - 325*m1 *m2 *n1 *n2  *n3  - 952*m1 *m2 *n1 *n2  *n3

                6   5   6   10   6        6   5   4   18
       + 1848*m1 *m2 *n1 *n2  *n3  - 20*m1 *m2 *n1 *n2

               6   5   4   16   2         6   5   4   14   4
       + 173*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2  *n3

               6   5   4   12   6     5   6   19   3        5   6   17   5
       - 728*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2

              5   6   17   3   2         5   6   15   7
       - 30*m1 *m2 *n1  *n2 *n3  - 128*m1 *m2 *n1  *n2

               5   6   15   5   2         5   6   15   3   4
       + 396*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

              5   6   13   9         5   6   13   7   2
       + 30*m1 *m2 *n1  *n2  - 886*m1 *m2 *n1  *n2 *n3

                5   6   13   5   4         5   6   13   3   6
       + 1344*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

               5   6   11   11         5   6   11   9   2
       + 264*m1 *m2 *n1  *n2   - 276*m1 *m2 *n1  *n2 *n3

                5   6   11   7   4          5   6   11   5   6
       - 1848*m1 *m2 *n1  *n2 *n3  + 1344*m1 *m2 *n1  *n2 *n3

               5   6   9   13          5   6   9   11   2
       - 138*m1 *m2 *n1 *n2   + 1354*m1 *m2 *n1 *n2  *n3

                5   6   9   9   4          5   6   9   7   6
       - 1008*m1 *m2 *n1 *n2 *n3  - 1456*m1 *m2 *n1 *n2 *n3

               5   6   7   15         5   6   7   13   2
       - 128*m1 *m2 *n1 *n2   - 220*m1 *m2 *n1 *n2  *n3

                5   6   7   11   4         5   6   7   9   6
       + 2184*m1 *m2 *n1 *n2  *n3  - 896*m1 *m2 *n1 *n2 *n3

              5   6   5   17         5   6   5   15   2
       + 78*m1 *m2 *n1 *n2   - 438*m1 *m2 *n1 *n2  *n3

               5   6   5   13   4          5   6   5   11   6
       - 336*m1 *m2 *n1 *n2  *n3  + 1680*m1 *m2 *n1 *n2  *n3

             5   6   3   19         5   6   3   17   2
       - 7*m1 *m2 *n1 *n2   + 100*m1 *m2 *n1 *n2  *n3

               5   6   3   15   4         5   6   3   13   6
       - 168*m1 *m2 *n1 *n2  *n3  - 448*m1 *m2 *n1 *n2  *n3

             4   7   18   4        4   7   16   6        4   7   16   4   2
       - 5*m1 *m2 *n1  *n2  + 60*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3

               4   7   14   8         4   7   14   6   2
       - 110*m1 *m2 *n1  *n2  + 535*m1 *m2 *n1  *n2 *n3

               4   7   14   4   4         4   7   12   10
       - 280*m1 *m2 *n1  *n2 *n3  - 100*m1 *m2 *n1  *n2

               4   7   12   8   2          4   7   12   6   4
       - 535*m1 *m2 *n1  *n2 *n3  + 1400*m1 *m2 *n1  *n2 *n3

               4   7   12   4   6         4   7   10   12
       - 280*m1 *m2 *n1  *n2 *n3  + 226*m1 *m2 *n1  *n2

               4   7   10   10   2         4   7   10   8   4
       - 781*m1 *m2 *n1  *n2  *n3  - 896*m1 *m2 *n1  *n2 *n3

                4   7   10   6   6        4   7   8   14
       + 1176*m1 *m2 *n1  *n2 *n3  + 12*m1 *m2 *n1 *n2

               4   7   8   12   2          4   7   8   10   4
       + 893*m1 *m2 *n1 *n2  *n3  - 1512*m1 *m2 *n1 *n2  *n3

               4   7   8   8   6         4   7   6   16
       - 728*m1 *m2 *n1 *n2 *n3  - 110*m1 *m2 *n1 *n2

               4   7   6   14   2          4   7   6   12   4
       + 215*m1 *m2 *n1 *n2  *n3  + 1280*m1 *m2 *n1 *n2  *n3

                4   7   6   10   6        4   7   4   18
       - 1000*m1 *m2 *n1 *n2  *n3  + 28*m1 *m2 *n1 *n2

               4   7   4   16   2         4   7   4   14   4
       - 283*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

                4   7   4   12   6     4   7   2   20        4   7   2   18   2
       + 1008*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1 *n2   + 31*m1 *m2 *n1 *n2  *n3

               4   7   2   16   4         4   7   2   14   6
       - 104*m1 *m2 *n1 *n2  *n3  - 176*m1 *m2 *n1 *n2  *n3

              3   8   17   5        3   8   15   7         3   8   15   5   2
       - 10*m1 *m2 *n1  *n2  + 60*m1 *m2 *n1  *n2  - 100*m1 *m2 *n1  *n2 *n3

              3   8   13   9         3   8   13   7   2
       - 30*m1 *m2 *n1  *n2  + 410*m1 *m2 *n1  *n2 *n3

               3   8   13   5   4         3   8   11   11
       - 280*m1 *m2 *n1  *n2 *n3  - 124*m1 *m2 *n1  *n2

              3   8   11   9   2         3   8   11   7   4
       - 60*m1 *m2 *n1  *n2 *n3  + 896*m1 *m2 *n1  *n2 *n3

               3   8   11   5   6        3   8   9   13
       - 224*m1 *m2 *n1  *n2 *n3  + 82*m1 *m2 *n1 *n2

               3   8   9   11   2        3   8   9   9   4
       - 654*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2 *n3

               3   8   9   7   6        3   8   7   15
       + 672*m1 *m2 *n1 *n2 *n3  + 60*m1 *m2 *n1 *n2

               3   8   7   13   2          3   8   7   11   4
       + 252*m1 *m2 *n1 *n2  *n3  - 1056*m1 *m2 *n1 *n2  *n3

               3   8   7   9   6        3   8   5   17
       - 160*m1 *m2 *n1 *n2 *n3  - 42*m1 *m2 *n1 *n2

               3   8   5   15   2         3   8   5   13   4
       + 240*m1 *m2 *n1 *n2  *n3  + 368*m1 *m2 *n1 *n2  *n3

               3   8   5   11   6       3   8   3   19        3   8   3   17   2
       - 632*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1 *n2   - 92*m1 *m2 *n1 *n2  *n3

               3   8   3   15   4         3   8   3   13   6
       + 160*m1 *m2 *n1 *n2  *n3  + 384*m1 *m2 *n1 *n2  *n3

             3   8      19   2        3   8      17   4        3   8      15   6
       + 4*m1 *m2 *n1*n2  *n3  - 32*m1 *m2 *n1*n2  *n3  - 40*m1 *m2 *n1*n2  *n3

              2   9   16   6        2   9   14   8        2   9   14   6   2
       - 10*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3

              2   9   12   10         2   9   12   8   2
       + 16*m1 *m2 *n1  *n2   + 171*m1 *m2 *n1  *n2 *n3

               2   9   12   6   4        2   9   10   12
       - 168*m1 *m2 *n1  *n2 *n3  - 58*m1 *m2 *n1  *n2

               2   9   10   10   2         2   9   10   8   4
       + 109*m1 *m2 *n1  *n2  *n3  + 336*m1 *m2 *n1  *n2 *n3

               2   9   10   6   6         2   9   8   12   2
       - 112*m1 *m2 *n1  *n2 *n3  - 261*m1 *m2 *n1 *n2  *n3

               2   9   8   10   4         2   9   8   8   6
       + 168*m1 *m2 *n1 *n2  *n3  + 240*m1 *m2 *n1 *n2 *n3

              2   9   6   16        2   9   6   14   2
       + 28*m1 *m2 *n1 *n2   - 22*m1 *m2 *n1 *n2  *n3

               2   9   6   12   4        2   9   6   10   6       2   9   4   18
       - 396*m1 *m2 *n1 *n2  *n3  + 28*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1 *n2

              2   9   4   16   2       2   9   4   14   4
       + 90*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1 *n2  *n3

               2   9   4   12   6        2   9   2   18   2
       - 236*m1 *m2 *n1 *n2  *n3  - 12*m1 *m2 *n1 *n2  *n3

              2   9   2   16   4        2   9   2   14   6       2   9   18   4
       + 60*m1 *m2 *n1 *n2  *n3  + 84*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n2  *n3

             2   9   16   6          10   15   7          10   13   9
       - 4*m1 *m2 *n2  *n3  - 5*m1*m2  *n1  *n2  + 6*m1*m2  *n1  *n2

                 10   13   7   2           10   11   11
       - 30*m1*m2  *n1  *n2 *n3  + 12*m1*m2  *n1  *n2

                 10   11   9   2           10   11   7   4           10   9   13
       + 32*m1*m2  *n1  *n2 *n3  - 56*m1*m2  *n1  *n2 *n3  - 10*m1*m2  *n1 *n2

                 10   9   11   2           10   9   9   4
       + 58*m1*m2  *n1 *n2  *n3  + 64*m1*m2  *n1 *n2 *n3

                 10   9   7   6          10   7   15           10   7   13   2
       - 32*m1*m2  *n1 *n2 *n3  - 7*m1*m2  *n1 *n2   - 44*m1*m2  *n1 *n2  *n3

                 10   7   11   4           10   7   9   6          10   5   17
       + 80*m1*m2  *n1 *n2  *n3  + 48*m1*m2  *n1 *n2 *n3  + 4*m1*m2  *n1 *n2

                 10   5   15   2           10   5   13   4
       - 28*m1*m2  *n1 *n2  *n3  - 72*m1*m2  *n1 *n2  *n3

                 10   5   11   6           10   3   17   2
       + 24*m1*m2  *n1 *n2  *n3  + 12*m1*m2  *n1 *n2  *n3

                 10   3   15   4           10   3   13   6
       - 24*m1*m2  *n1 *n2  *n3  - 48*m1*m2  *n1 *n2  *n3

                10      17   4          10      15   6     11   14   8
       + 8*m1*m2  *n1*n2  *n3  + 8*m1*m2  *n1*n2  *n3  - m2  *n1  *n2

             11   12   8   2       11   10   12     11   10   10   2
       - 5*m2  *n1  *n2 *n3  + 2*m2  *n1  *n2   + m2  *n1  *n2  *n3

             11   10   8   4       11   8   12   2       11   8   10   4
       - 8*m2  *n1  *n2 *n3  + 9*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

             11   8   8   6     11   6   16     11   6   14   2
       - 4*m2  *n1 *n2 *n3  - m2  *n1 *n2   - m2  *n1 *n2  *n3

              11   6   12   4       11   6   10   6       11   4   16   2
       + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3

             11   4   14   4       11   4   12   6       11   2   16   4
       - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3

             11   2   14   6      2   2           12   12   6   2
       - 4*m2  *n1 *n2  *n3 ) + v1 *v3 *( - a33*m1  *n1  *n2 *n3

                 12   12   4   4           12   12   2   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               12   8   10   2           12   8   8   4           12   8   6   6
       + a33*m1  *n1 *n2  *n3  - 4*a33*m1  *n1 *n2 *n3  + 4*a33*m1  *n1 *n2 *n3

               11      13   7           11      13   5   2
       - a33*m1  *m2*n1  *n2  + 8*a33*m1  *m2*n1  *n2 *n3

                  11      13   3   4           11      13      6
       - 16*a33*m1  *m2*n1  *n2 *n3  + 8*a33*m1  *m2*n1  *n2*n3

               11      11   9           11      11   7   2
       - a33*m1  *m2*n1  *n2  - 2*a33*m1  *m2*n1  *n2 *n3

                  11      11   5   4            11      11   3   6
       + 24*a33*m1  *m2*n1  *n2 *n3  - 32*a33*m1  *m2*n1  *n2 *n3

               11      9   11           11      9   9   2
       + a33*m1  *m2*n1 *n2   - 8*a33*m1  *m2*n1 *n2 *n3

                  11      9   7   4           11      9   5   6
       + 16*a33*m1  *m2*n1 *n2 *n3  - 8*a33*m1  *m2*n1 *n2 *n3

               11      7   13           11      7   11   2
       + a33*m1  *m2*n1 *n2   + 2*a33*m1  *m2*n1 *n2  *n3

                  11      7   9   4            11      7   7   6
       - 24*a33*m1  *m2*n1 *n2 *n3  + 32*a33*m1  *m2*n1 *n2 *n3

                 10   2   14   6            10   2   14   4   2
       + 4*a33*m1  *m2 *n1  *n2  - 18*a33*m1  *m2 *n1  *n2 *n3

                  10   2   14   2   4           10   2   14   6
       + 20*a33*m1  *m2 *n1  *n2 *n3  - 4*a33*m1  *m2 *n1  *n3

               10   2   12   8            10   2   12   6   2
       - a33*m1  *m2 *n1  *n2  + 35*a33*m1  *m2 *n1  *n2 *n3

                   10   2   12   4   4            10   2   12   2   6
       - 100*a33*m1  *m2 *n1  *n2 *n3  + 60*a33*m1  *m2 *n1  *n2 *n3

                 10   2   10   10            10   2   10   8   2
       - 9*a33*m1  *m2 *n1  *n2   + 27*a33*m1  *m2 *n1  *n2 *n3

                  10   2   10   6   4             10   2   10   4   6
       + 36*a33*m1  *m2 *n1  *n2 *n3  - 108*a33*m1  *m2 *n1  *n2 *n3

               10   2   8   12            10   2   8   10   2
       + a33*m1  *m2 *n1 *n2   - 35*a33*m1  *m2 *n1 *n2  *n3

                   10   2   8   8   4            10   2   8   6   6
       + 100*a33*m1  *m2 *n1 *n2 *n3  - 60*a33*m1  *m2 *n1 *n2 *n3

                 10   2   6   14           10   2   6   12   2
       + 5*a33*m1  *m2 *n1 *n2   - 9*a33*m1  *m2 *n1 *n2  *n3

                  10   2   6   10   4             10   2   6   8   6
       - 56*a33*m1  *m2 *n1 *n2  *n3  + 112*a33*m1  *m2 *n1 *n2 *n3

                 9   3   15   5            9   3   15   3   2
       - 6*a33*m1 *m2 *n1  *n2  + 16*a33*m1 *m2 *n1  *n2 *n3

                 9   3   15      4            9   3   13   7
       - 8*a33*m1 *m2 *n1  *n2*n3  + 13*a33*m1 *m2 *n1  *n2

                  9   3   13   5   2             9   3   13   3   4
       - 88*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                  9   3   13      6            9   3   11   9
       - 24*a33*m1 *m2 *n1  *n2*n3  + 15*a33*m1 *m2 *n1  *n2

                  9   3   11   7   2             9   3   11   5   4
       + 30*a33*m1 *m2 *n1  *n2 *n3  - 248*a33*m1 *m2 *n1  *n2 *n3

                   9   3   11   3   6            9   3   9   11
       + 192*a33*m1 *m2 *n1  *n2 *n3  - 23*a33*m1 *m2 *n1 *n2

                   9   3   9   9   2            9   3   9   7   4
       + 128*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

                   9   3   9   5   6           9   3   7   13
       - 200*a33*m1 *m2 *n1 *n2 *n3  - 9*a33*m1 *m2 *n1 *n2

                  9   3   7   11   2             9   3   7   9   4
       - 46*a33*m1 *m2 *n1 *n2  *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                   9   3   7   7   6            9   3   5   15
       - 192*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  9   3   5   13   2            9   3   5   11   4
       - 40*a33*m1 *m2 *n1 *n2  *n3  - 56*a33*m1 *m2 *n1 *n2  *n3

                   9   3   5   9   6           8   4   16   4
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1  *n2

                 8   4   16   2   2            8   4   14   6
       - 5*a33*m1 *m2 *n1  *n2 *n3  - 22*a33*m1 *m2 *n1  *n2

                  8   4   14   4   2            8   4   14   2   4
       + 74*a33*m1 *m2 *n1  *n2 *n3  - 36*a33*m1 *m2 *n1  *n2 *n3

                 8   4   14   6           8   4   12   8
       - 4*a33*m1 *m2 *n1  *n3  + 5*a33*m1 *m2 *n1  *n2

                   8   4   12   6   2             8   4   12   4   4
       - 157*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                  8   4   12   2   6            8   4   10   10
       - 48*a33*m1 *m2 *n1  *n2 *n3  + 47*a33*m1 *m2 *n1  *n2

                  8   4   10   8   2             8   4   10   6   4
       - 85*a33*m1 *m2 *n1  *n2 *n3  - 300*a33*m1 *m2 *n1  *n2 *n3

                   8   4   10   4   6            8   4   8   12
       + 340*a33*m1 *m2 *n1  *n2 *n3  - 19*a33*m1 *m2 *n1 *n2

                   8   4   8   10   2             8   4   8   8   4
       + 227*a33*m1 *m2 *n1 *n2  *n3  - 288*a33*m1 *m2 *n1 *n2 *n3

                   8   4   8   6   6            8   4   6   14
       - 232*a33*m1 *m2 *n1 *n2 *n3  - 25*a33*m1 *m2 *n1 *n2

                  8   4   6   12   2             8   4   6   10   4
       + 11*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                   8   4   6   8   6            8   4   4   16
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  8   4   4   14   2             8   4   4   10   6
       - 65*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

               7   5   17   3            7   5   15   5
       - a33*m1 *m2 *n1  *n2  + 13*a33*m1 *m2 *n1  *n2

                  7   5   15   3   2           7   5   15      4
       - 14*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n2*n3

                  7   5   13   7             7   5   13   5   2
       - 25*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                  7   5   13   3   4            7   5   13      6
       - 32*a33*m1 *m2 *n1  *n2 *n3  - 32*a33*m1 *m2 *n1  *n2*n3

                  7   5   11   9             7   5   11   7   2
       - 23*a33*m1 *m2 *n1  *n2  - 118*a33*m1 *m2 *n1  *n2 *n3

                   7   5   11   5   4            7   5   9   11
       + 344*a33*m1 *m2 *n1  *n2 *n3  + 51*a33*m1 *m2 *n1 *n2

                   7   5   9   9   2             7   5   9   7   4
       - 200*a33*m1 *m2 *n1 *n2 *n3  - 192*a33*m1 *m2 *n1 *n2 *n3

                   7   5   9   5   6           7   5   7   13
       + 368*a33*m1 *m2 *n1 *n2 *n3  + 5*a33*m1 *m2 *n1 *n2

                   7   5   7   11   2             7   5   7   9   4
       + 186*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2 *n3

                   7   5   7   7   6            7   5   5   15
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 25*a33*m1 *m2 *n1 *n2

                  7   5   5   13   2             7   5   5   11   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   7   5   5   9   6           7   5   3   17
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 5*a33*m1 *m2 *n1 *n2

                  7   5   3   15   2            7   5   3   13   4
       - 54*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   5   3   11   6         6   6   16   4
       + 224*a33*m1 *m2 *n1 *n2  *n3  - a33*m1 *m2 *n1  *n2

                 6   6   16   2   2           6   6   14   6
       - 5*a33*m1 *m2 *n1  *n2 *n3  + 9*a33*m1 *m2 *n1  *n2

                  6   6   14   4   2            6   6   14   2   4
       + 17*a33*m1 *m2 *n1  *n2 *n3  - 56*a33*m1 *m2 *n1  *n2 *n3

                 6   6   12   8            6   6   12   6   2
       - 9*a33*m1 *m2 *n1  *n2  + 67*a33*m1 *m2 *n1  *n2 *n3

                   6   6   12   4   4             6   6   12   2   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   6   10   10            6   6   10   8   2
       - 19*a33*m1 *m2 *n1  *n2   - 67*a33*m1 *m2 *n1  *n2 *n3

                   6   6   10   6   4             6   6   10   4   6
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  6   6   8   12             6   6   8   10   2
       + 19*a33*m1 *m2 *n1 *n2   - 129*a33*m1 *m2 *n1 *n2  *n3

                   6   6   8   8   4             6   6   8   6   6
       - 168*a33*m1 *m2 *n1 *n2 *n3  + 280*a33*m1 *m2 *n1 *n2 *n3

                 6   6   6   14            6   6   6   12   2
       + 9*a33*m1 *m2 *n1 *n2   + 73*a33*m1 *m2 *n1 *n2  *n3

                   6   6   6   10   4             6   6   6   8   6
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2 *n3

                 6   6   4   16            6   6   4   14   2
       - 9*a33*m1 *m2 *n1 *n2   + 67*a33*m1 *m2 *n1 *n2  *n3

                  6   6   4   12   4             6   6   4   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 168*a33*m1 *m2 *n1 *n2  *n3

               6   6   2   18            6   6   2   16   2
       + a33*m1 *m2 *n1 *n2   - 23*a33*m1 *m2 *n1 *n2  *n3

                  6   6   2   14   4             6   6   2   12   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

               5   7   17   3           5   7   15   5
       - a33*m1 *m2 *n1  *n2  + 9*a33*m1 *m2 *n1  *n2

                  5   7   15   3   2           5   7   13   7
       - 30*a33*m1 *m2 *n1  *n2 *n3  - 9*a33*m1 *m2 *n1  *n2

                   5   7   13   5   2             5   7   13   3   4
       + 116*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  5   7   11   9            5   7   11   7   2
       - 19*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2 *n3

                   5   7   11   5   4             5   7   11   3   6
       + 336*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                  5   7   9   11             5   7   9   9   2
       + 19*a33*m1 *m2 *n1 *n2   - 164*a33*m1 *m2 *n1 *n2 *n3

                   5   7   9   7   4             5   7   9   5   6
       + 168*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                 5   7   7   13            5   7   7   11   2
       + 9*a33*m1 *m2 *n1 *n2   + 10*a33*m1 *m2 *n1 *n2  *n3

                   5   7   7   9   4             5   7   7   7   6
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                 5   7   5   15            5   7   5   13   2
       - 9*a33*m1 *m2 *n1 *n2   + 52*a33*m1 *m2 *n1 *n2  *n3

                  5   7   5   11   4             5   7   5   9   6
       - 24*a33*m1 *m2 *n1 *n2  *n3  - 368*a33*m1 *m2 *n1 *n2 *n3

               5   7   3   17            5   7   3   15   2
       + a33*m1 *m2 *n1 *n2   + 10*a33*m1 *m2 *n1 *n2  *n3

                 5   7      17   2            5   7      15   4
       - 4*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  5   7      13   6           4   8   16   4
       + 32*a33*m1 *m2 *n1*n2  *n3  - 5*a33*m1 *m2 *n1  *n2

                  4   8   14   6            4   8   14   4   2
       + 25*a33*m1 *m2 *n1  *n2  - 75*a33*m1 *m2 *n1  *n2 *n3

                 4   8   12   8             4   8   12   6   2
       - 5*a33*m1 *m2 *n1  *n2  + 185*a33*m1 *m2 *n1  *n2 *n3

                   4   8   12   4   4            4   8   10   10
       - 280*a33*m1 *m2 *n1  *n2 *n3  - 51*a33*m1 *m2 *n1  *n2

                  4   8   10   8   2             4   8   10   6   4
       + 81*a33*m1 *m2 *n1  *n2 *n3  + 392*a33*m1 *m2 *n1  *n2 *n3

                   4   8   10   4   6            4   8   8   12
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 23*a33*m1 *m2 *n1 *n2

                   4   8   8   10   2             4   8   8   8   4
       - 263*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2 *n3

                   4   8   8   6   6            4   8   6   14
       + 336*a33*m1 *m2 *n1 *n2 *n3  + 25*a33*m1 *m2 *n1 *n2

                 4   8   6   12   2             4   8   6   10   4
       + 5*a33*m1 *m2 *n1 *n2  *n3  - 408*a33*m1 *m2 *n1 *n2  *n3

                   4   8   6   8   6            4   8   4   16
       + 232*a33*m1 *m2 *n1 *n2 *n3  - 13*a33*m1 *m2 *n1 *n2

                  4   8   4   14   2           4   8   4   12   4
       + 78*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1 *n2  *n3

                   4   8   4   10   6         4   8   2   18
       - 340*a33*m1 *m2 *n1 *n2  *n3  + a33*m1 *m2 *n1 *n2

                  4   8   2   16   2            4   8   2   14   4
       - 11*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2  *n3

                  4   8   2   12   6           4   8   16   4
       + 48*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n2  *n3

                 4   8   14   6            3   9   15   5
       + 4*a33*m1 *m2 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                  3   9   13   7             3   9   13   5   2
       + 25*a33*m1 *m2 *n1  *n2  - 100*a33*m1 *m2 *n1  *n2 *n3

                  3   9   11   9             3   9   11   7   2
       + 19*a33*m1 *m2 *n1  *n2  + 130*a33*m1 *m2 *n1  *n2 *n3

                   3   9   11   5   4            3   9   9   11
       - 280*a33*m1 *m2 *n1  *n2 *n3  - 47*a33*m1 *m2 *n1 *n2

                   3   9   9   9   2             3   9   9   7   4
       + 164*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   3   9   9   5   6           3   9   7   13
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 5*a33*m1 *m2 *n1 *n2

                   3   9   7   11   2             3   9   7   9   4
       - 182*a33*m1 *m2 *n1 *n2  *n3  + 328*a33*m1 *m2 *n1 *n2 *n3

                   3   9   7   7   6            3   9   5   15
       + 192*a33*m1 *m2 *n1 *n2 *n3  + 22*a33*m1 *m2 *n1 *n2

                  3   9   5   13   2             3   9   5   11   4
       - 60*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2  *n3

                   3   9   5   9   6           3   9   3   17
       + 200*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

                  3   9   3   15   2            3   9   3   13   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2  *n3

                   3   9   3   11   6           3   9      17   2
       - 192*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2  *n3

                  3   9      15   4            3   9      13   6
       + 16*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  2   10   14   6           2   10   12   8
       - 10*a33*m1 *m2  *n1  *n2  + 9*a33*m1 *m2  *n1  *n2

                  2   10   12   6   2            2   10   10   10
       - 75*a33*m1 *m2  *n1  *n2 *n3  + 23*a33*m1 *m2  *n1  *n2

                  2   10   10   8   2             2   10   10   6   4
       + 31*a33*m1 *m2  *n1  *n2 *n3  - 168*a33*m1 *m2  *n1  *n2 *n3

                  2   10   8   12             2   10   8   10   2
       - 15*a33*m1 *m2  *n1 *n2   + 125*a33*m1 *m2  *n1 *n2  *n3

                  2   10   8   8   4             2   10   8   6   6
       + 48*a33*m1 *m2  *n1 *n2 *n3  - 112*a33*m1 *m2  *n1 *n2 *n3

                  2   10   6   14            2   10   6   12   2
       - 13*a33*m1 *m2  *n1 *n2   - 43*a33*m1 *m2  *n1 *n2  *n3

                   2   10   6   10   4            2   10   6   8   6
       + 204*a33*m1 *m2  *n1 *n2  *n3  + 60*a33*m1 *m2  *n1 *n2 *n3

                 2   10   4   16            2   10   4   14   2
       + 6*a33*m1 *m2  *n1 *n2   - 50*a33*m1 *m2  *n1 *n2  *n3

                  2   10   4   12   4             2   10   4   10   6
       - 52*a33*m1 *m2  *n1 *n2  *n3  + 108*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   16   2            2   10   2   14   4
       + 12*a33*m1 *m2  *n1 *n2  *n3  - 36*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   12   6           2   10   16   4
       - 60*a33*m1 *m2  *n1 *n2  *n3  + 4*a33*m1 *m2  *n2  *n3

                 2   10   14   6              11   13   7            11   11   9
       + 4*a33*m1 *m2  *n2  *n3  - 5*a33*m1*m2  *n1  *n2  - a33*m1*m2  *n1  *n2

                     11   11   7   2              11   9   11
       - 30*a33*m1*m2  *n1  *n2 *n3  + 9*a33*m1*m2  *n1 *n2

                    11   9   9   2               11   9   7   4
       - 8*a33*m1*m2  *n1 *n2 *n3  - 56*a33*m1*m2  *n1 *n2 *n3

                  11   7   13               11   7   11   2
       + a33*m1*m2  *n1 *n2   + 42*a33*m1*m2  *n1 *n2  *n3

                    11   7   9   4               11   7   7   6
       - 8*a33*m1*m2  *n1 *n2 *n3  - 32*a33*m1*m2  *n1 *n2 *n3

                    11   5   15              11   5   13   2
       - 4*a33*m1*m2  *n1 *n2   + 8*a33*m1*m2  *n1 *n2  *n3

                     11   5   11   4              11   5   9   6
       + 64*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2 *n3

                     11   3   15   2              11   3   13   4
       - 12*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2  *n3

                     11   3   11   6              11      15   4
       + 32*a33*m1*m2  *n1 *n2  *n3  - 8*a33*m1*m2  *n1*n2  *n3

                    11      13   6         12   12   8         12   10   10
       - 8*a33*m1*m2  *n1*n2  *n3  - a33*m2  *n1  *n2  - a33*m2  *n1  *n2

                 12   10   8   2         12   8   12           12   8   10   2
       - 5*a33*m2  *n1  *n2 *n3  + a33*m2  *n1 *n2   - 4*a33*m2  *n1 *n2  *n3

                 12   8   8   4         12   6   14           12   6   12   2
       - 8*a33*m2  *n1 *n2 *n3  + a33*m2  *n1 *n2   + 5*a33*m2  *n1 *n2  *n3

                 12   6   10   4           12   6   8   6
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2 *n3

                 12   4   14   2           12   4   12   4
       + 4*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 12   2   14   4           12   2   12   6      2
       + 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3 ) + v1 *v3*(

          11   13   6   3       11   13   4   5       11   13   2   7
      2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3  + 8*m1  *n1  *n2 *n3

             11   9   10   3       11   9   8   5       11   9   6   7
       - 2*m1  *n1 *n2  *n3  + 8*m1  *n1 *n2 *n3  - 8*m1  *n1 *n2 *n3

             10      14   7           10      14   5   3
       + 2*m1  *m2*n1  *n2 *n3 - 16*m1  *m2*n1  *n2 *n3

              10      14   3   5        10      14      7
       + 32*m1  *m2*n1  *n2 *n3  - 16*m1  *m2*n1  *n2*n3

             10      12   9          10      12   7   3
       + 2*m1  *m2*n1  *n2 *n3 + 6*m1  *m2*n1  *n2 *n3

              10      12   5   5        10      12   3   7
       - 56*m1  *m2*n1  *n2 *n3  + 72*m1  *m2*n1  *n2 *n3

             10      10   11           10      10   9   3
       - 2*m1  *m2*n1  *n2  *n3 + 16*m1  *m2*n1  *n2 *n3

              10      10   7   5        10      10   5   7
       - 32*m1  *m2*n1  *n2 *n3  + 16*m1  *m2*n1  *n2 *n3

             10      8   13          10      8   11   3        10      8   9   5
       - 2*m1  *m2*n1 *n2  *n3 - 6*m1  *m2*n1 *n2  *n3  + 56*m1  *m2*n1 *n2 *n3

              10      8   7   7       9   2   15   6
       - 72*m1  *m2*n1 *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3

              9   2   15   4   3        9   2   15   2   5       9   2   15   7
       + 36*m1 *m2 *n1  *n2 *n3  - 40*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n3

             9   2   13   8           9   2   13   6   3
       + 4*m1 *m2 *n1  *n2 *n3 - 88*m1 *m2 *n1  *n2 *n3

               9   2   13   4   5         9   2   13   2   7
       + 240*m1 *m2 *n1  *n2 *n3  - 144*m1 *m2 *n1  *n2 *n3

              9   2   11   10           9   2   11   8   3
       + 20*m1 *m2 *n1  *n2  *n3 - 50*m1 *m2 *n1  *n2 *n3

               9   2   11   6   5         9   2   11   4   7
       - 120*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

             9   2   9   12           9   2   9   10   3
       - 4*m1 *m2 *n1 *n2  *n3 + 88*m1 *m2 *n1 *n2  *n3

               9   2   9   8   5         9   2   9   6   7
       - 240*m1 *m2 *n1 *n2 *n3  + 144*m1 *m2 *n1 *n2 *n3

              9   2   7   14           9   2   7   12   3
       - 12*m1 *m2 *n1 *n2  *n3 + 14*m1 *m2 *n1 *n2  *n3

               9   2   7   10   5         9   2   7   8   7
       + 160*m1 *m2 *n1 *n2  *n3  - 288*m1 *m2 *n1 *n2 *n3

              8   3   16   5           8   3   16   3   3
       + 12*m1 *m2 *n1  *n2 *n3 - 32*m1 *m2 *n1  *n2 *n3

              8   3   16      5        8   3   14   7
       + 16*m1 *m2 *n1  *n2*n3  - 36*m1 *m2 *n1  *n2 *n3

               8   3   14   5   3         8   3   14   3   5
       + 228*m1 *m2 *n1  *n2 *n3  - 312*m1 *m2 *n1  *n2 *n3

              8   3   14      7        8   3   12   9
       + 72*m1 *m2 *n1  *n2*n3  - 30*m1 *m2 *n1  *n2 *n3

               8   3   12   7   3         8   3   12   5   5
       - 136*m1 *m2 *n1  *n2 *n3  + 752*m1 *m2 *n1  *n2 *n3

               8   3   12   3   7        8   3   10   11
       - 576*m1 *m2 *n1  *n2 *n3  + 66*m1 *m2 *n1  *n2  *n3

               8   3   10   9   3        8   3   10   7   5
       - 326*m1 *m2 *n1  *n2 *n3  + 88*m1 *m2 *n1  *n2 *n3

               8   3   10   5   7        8   3   8   13
       + 600*m1 *m2 *n1  *n2 *n3  + 18*m1 *m2 *n1 *n2  *n3

               8   3   8   11   3         8   3   8   9   5
       + 168*m1 *m2 *n1 *n2  *n3  - 768*m1 *m2 *n1 *n2 *n3

               8   3   8   7   7        8   3   6   15
       + 576*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              8   3   6   13   3         8   3   6   11   5
       + 98*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

               8   3   6   9   7       7   4   17   4
       - 672*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3

              7   4   17   2   3        7   4   15   6
       + 10*m1 *m2 *n1  *n2 *n3  + 64*m1 *m2 *n1  *n2 *n3

               7   4   15   4   3         7   4   15   2   5
       - 216*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   4   13   8            7   4   13   6   3
       - 40*m1 *m2 *n1  *n2 *n3 + 578*m1 *m2 *n1  *n2 *n3

                7   4   13   4   5         7   4   13   2   7
       - 1056*m1 *m2 *n1  *n2 *n3  + 288*m1 *m2 *n1  *n2 *n3

               7   4   11   10            7   4   11   8   3
       - 144*m1 *m2 *n1  *n2  *n3 + 160*m1 *m2 *n1  *n2 *n3

                7   4   11   6   5          7   4   11   4   7
       + 1216*m1 *m2 *n1  *n2 *n3  - 1344*m1 *m2 *n1  *n2 *n3

              7   4   9   12            7   4   9   10   3
       + 88*m1 *m2 *n1 *n2  *n3 - 798*m1 *m2 *n1 *n2  *n3

               7   4   9   8   5         7   4   9   6   7
       + 944*m1 *m2 *n1 *n2 *n3  + 720*m1 *m2 *n1 *n2 *n3

              7   4   7   14           7   4   7   12   3
       + 80*m1 *m2 *n1 *n2  *n3 + 56*m1 *m2 *n1 *n2  *n3

                7   4   7   10   5          7   4   7   8   7
       - 1344*m1 *m2 *n1 *n2  *n3  + 1344*m1 *m2 *n1 *n2 *n3

              7   4   5   16            7   4   5   14   3
       - 40*m1 *m2 *n1 *n2  *n3 + 210*m1 *m2 *n1 *n2  *n3

               7   4   5   12   5          7   4   5   10   7
       + 112*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2  *n3

             6   5   18   3           6   5   16   5
       + 2*m1 *m2 *n1  *n2 *n3 - 46*m1 *m2 *n1  *n2 *n3

              6   5   16   3   3         6   5   14   7
       + 70*m1 *m2 *n1  *n2 *n3  + 130*m1 *m2 *n1  *n2 *n3

               6   5   14   5   3         6   5   14   3   5
       - 616*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

              6   5   12   9            6   5   12   7   3
       + 66*m1 *m2 *n1  *n2 *n3 + 686*m1 *m2 *n1  *n2 *n3

                6   5   12   5   5         6   5   12   3   7
       - 2016*m1 *m2 *n1  *n2 *n3  + 672*m1 *m2 *n1  *n2 *n3

               6   5   10   11            6   5   10   9   3
       - 262*m1 *m2 *n1  *n2  *n3 + 896*m1 *m2 *n1  *n2 *n3

               6   5   10   7   5          6   5   10   5   7
       + 896*m1 *m2 *n1  *n2 *n3  - 2016*m1 *m2 *n1  *n2 *n3

              6   5   8   13            6   5   8   11   3
       + 10*m1 *m2 *n1 *n2  *n3 - 994*m1 *m2 *n1 *n2  *n3

                6   5   8   9   5         6   5   8   7   7
       + 2128*m1 *m2 *n1 *n2 *n3  + 336*m1 *m2 *n1 *n2 *n3

               6   5   6   15            6   5   6   13   3
       + 130*m1 *m2 *n1 *n2  *n3 - 280*m1 *m2 *n1 *n2  *n3

                6   5   6   11   5          6   5   6   9   7
       - 1344*m1 *m2 *n1 *n2  *n3  + 2016*m1 *m2 *n1 *n2 *n3

              6   5   4   17            6   5   4   15   3
       - 30*m1 *m2 *n1 *n2  *n3 + 238*m1 *m2 *n1 *n2  *n3

               6   5   4   13   5          6   5   4   11   7
       - 112*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2  *n3

              5   6   17   4            5   6   15   6
       + 12*m1 *m2 *n1  *n2 *n3 - 108*m1 *m2 *n1  *n2 *n3

               5   6   15   4   3         5   6   13   8
       + 210*m1 *m2 *n1  *n2 *n3  + 108*m1 *m2 *n1  *n2 *n3

               5   6   13   6   3         5   6   13   4   5
       - 952*m1 *m2 *n1  *n2 *n3  + 896*m1 *m2 *n1  *n2 *n3

               5   6   11   10            5   6   11   8   3
       + 228*m1 *m2 *n1  *n2  *n3 + 210*m1 *m2 *n1  *n2 *n3

                5   6   11   6   5          5   6   11   4   7
       - 2352*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

               5   6   9   12             5   6   9   10   3
       - 228*m1 *m2 *n1 *n2  *n3 + 1456*m1 *m2 *n1 *n2  *n3

               5   6   9   8   5          5   6   9   6   7
       - 224*m1 *m2 *n1 *n2 *n3  - 2016*m1 *m2 *n1 *n2 *n3

               5   6   7   14            5   6   7   12   3
       - 108*m1 *m2 *n1 *n2  *n3 - 574*m1 *m2 *n1 *n2  *n3

                5   6   7   10   5         5   6   7   8   7
       + 2576*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2 *n3

               5   6   5   16            5   6   5   14   3
       + 108*m1 *m2 *n1 *n2  *n3 - 504*m1 *m2 *n1 *n2  *n3

               5   6   5   12   5          5   6   5   10   7
       - 672*m1 *m2 *n1 *n2  *n3  + 2016*m1 *m2 *n1 *n2  *n3

              5   6   3   18            5   6   3   16   3
       - 12*m1 *m2 *n1 *n2  *n3 + 154*m1 *m2 *n1 *n2  *n3

               5   6   3   14   5         5   6   3   12   7
       - 224*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2  *n3

              4   7   16   5            4   7   14   7
       + 30*m1 *m2 *n1  *n2 *n3 - 130*m1 *m2 *n1  *n2 *n3

               4   7   14   5   3        4   7   12   9
       + 350*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2 *n3

               4   7   12   7   3          4   7   12   5   5
       - 840*m1 *m2 *n1  *n2 *n3  + 1120*m1 *m2 *n1  *n2 *n3

               4   7   10   11            4   7   10   9   3
       + 262*m1 *m2 *n1  *n2  *n3 - 434*m1 *m2 *n1  *n2 *n3

                4   7   10   7   5          4   7   10   5   7
       - 1680*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

              4   7   8   13             4   7   8   11   3
       - 66*m1 *m2 *n1 *n2  *n3 + 1232*m1 *m2 *n1 *n2  *n3

                4   7   8   9   5          4   7   8   7   7
       - 1120*m1 *m2 *n1 *n2 *n3  - 1344*m1 *m2 *n1 *n2 *n3

               4   7   6   15           4   7   6   13   3
       - 130*m1 *m2 *n1 *n2  *n3 + 30*m1 *m2 *n1 *n2  *n3

                4   7   6   11   5         4   7   6   9   7
       + 1840*m1 *m2 *n1 *n2  *n3  - 720*m1 *m2 *n1 *n2 *n3

              4   7   4   17            4   7   4   15   3
       + 46*m1 *m2 *n1 *n2  *n3 - 392*m1 *m2 *n1 *n2  *n3

                4   7   4   11   7       4   7   2   19
       + 1344*m1 *m2 *n1 *n2  *n3  - 2*m1 *m2 *n1 *n2  *n3

              4   7   2   17   3         4   7   2   15   5
       + 54*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2  *n3

               4   7   2   13   7        3   8   15   6
       - 288*m1 *m2 *n1 *n2  *n3  + 40*m1 *m2 *n1  *n2 *n3

              3   8   13   8            3   8   13   6   3
       - 80*m1 *m2 *n1  *n2 *n3 + 350*m1 *m2 *n1  *n2 *n3

              3   8   11   10            3   8   11   8   3
       - 88*m1 *m2 *n1  *n2  *n3 - 392*m1 *m2 *n1  *n2 *n3

               3   8   11   6   5         3   8   9   12
       + 896*m1 *m2 *n1  *n2 *n3  + 144*m1 *m2 *n1 *n2  *n3

               3   8   9   10   3         3   8   9   8   5
       - 602*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2 *n3

               3   8   9   6   7        3   8   7   14
       + 672*m1 *m2 *n1 *n2 *n3  + 40*m1 *m2 *n1 *n2  *n3

               3   8   7   12   3          3   8   7   10   5
       + 544*m1 *m2 *n1 *n2  *n3  - 1088*m1 *m2 *n1 *n2  *n3

               3   8   7   8   7        3   8   5   16
       - 576*m1 *m2 *n1 *n2 *n3  - 64*m1 *m2 *n1 *n2  *n3

               3   8   5   14   3         3   8   5   12   5
       + 244*m1 *m2 *n1 *n2  *n3  + 728*m1 *m2 *n1 *n2  *n3

               3   8   5   10   7       3   8   3   18
       - 600*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1 *n2  *n3

               3   8   3   16   3         3   8   3   14   5
       - 152*m1 *m2 *n1 *n2  *n3  + 192*m1 *m2 *n1 *n2  *n3

               3   8   3   12   7       3   8      18   3
       + 576*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1*n2  *n3

              3   8      16   5        3   8      14   7
       - 56*m1 *m2 *n1*n2  *n3  - 72*m1 *m2 *n1*n2  *n3

              2   9   14   7           2   9   12   9
       + 30*m1 *m2 *n1  *n2 *n3 - 18*m1 *m2 *n1  *n2 *n3

               2   9   12   7   3        2   9   10   11
       + 210*m1 *m2 *n1  *n2 *n3  - 66*m1 *m2 *n1  *n2  *n3

              2   9   10   9   3         2   9   10   7   5
       - 56*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

              2   9   8   13            2   9   8   11   3
       + 30*m1 *m2 *n1 *n2  *n3 - 342*m1 *m2 *n1 *n2  *n3

              2   9   8   9   5         2   9   8   7   7
       - 96*m1 *m2 *n1 *n2 *n3  + 288*m1 *m2 *n1 *n2 *n3

              2   9   6   15           2   9   6   13   3
       + 36*m1 *m2 *n1 *n2  *n3 + 80*m1 *m2 *n1 *n2  *n3

               2   9   6   11   5         2   9   6   9   7
       - 544*m1 *m2 *n1 *n2  *n3  - 144*m1 *m2 *n1 *n2 *n3

              2   9   4   17            2   9   4   15   3
       - 12*m1 *m2 *n1 *n2  *n3 + 132*m1 *m2 *n1 *n2  *n3

               2   9   4   13   5         2   9   4   11   7
       + 104*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              2   9   2   17   3        2   9   2   15   5
       - 24*m1 *m2 *n1 *n2  *n3  + 96*m1 *m2 *n1 *n2  *n3

               2   9   2   13   7       2   9   17   5       2   9   15   7
       + 144*m1 *m2 *n1 *n2  *n3  - 8*m1 *m2 *n2  *n3  - 8*m1 *m2 *n2  *n3

                 10   13   8             10   11   10
       + 12*m1*m2  *n1  *n2 *n3 + 4*m1*m2  *n1  *n2  *n3

                 10   11   8   3           10   9   12
       + 70*m1*m2  *n1  *n2 *n3  - 20*m1*m2  *n1 *n2  *n3

                 10   9   10   3            10   9   8   5
       + 24*m1*m2  *n1 *n2  *n3  + 128*m1*m2  *n1 *n2 *n3

                10   7   14              10   7   12   3
       - 4*m1*m2  *n1 *n2  *n3 - 94*m1*m2  *n1 *n2  *n3

                 10   7   10   5           10   7   8   7
       + 24*m1*m2  *n1 *n2  *n3  + 72*m1*m2  *n1 *n2 *n3

                10   5   16              10   5   14   3
       + 8*m1*m2  *n1 *n2  *n3 - 24*m1*m2  *n1 *n2  *n3

                  10   5   12   5           10   5   10   7
       - 144*m1*m2  *n1 *n2  *n3  - 16*m1*m2  *n1 *n2  *n3

                 10   3   16   3           10   3   14   5
       + 24*m1*m2  *n1 *n2  *n3  - 24*m1*m2  *n1 *n2  *n3

                 10   3   12   7           10      16   5
       - 72*m1*m2  *n1 *n2  *n3  + 16*m1*m2  *n1*n2  *n3

                 10      14   7       11   12   9          11   10   11
       + 16*m1*m2  *n1*n2  *n3  + 2*m2  *n1  *n2 *n3 + 2*m2  *n1  *n2  *n3

              11   10   9   3       11   8   13          11   8   11   3
       + 10*m2  *n1  *n2 *n3  - 2*m2  *n1 *n2  *n3 + 8*m2  *n1 *n2  *n3

              11   8   9   5       11   6   15           11   6   13   3
       + 16*m2  *n1 *n2 *n3  - 2*m2  *n1 *n2  *n3 - 10*m2  *n1 *n2  *n3

             11   6   11   5       11   6   9   7       11   4   15   3
       + 8*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2 *n3  - 8*m2  *n1 *n2  *n3

              11   4   13   5       11   2   15   5       11   2   13   7
       - 16*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3 ) + v1

      2    11   14   6   2       11   14   4   4       11   14   2   6
   *v2 *(m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

              11   12   8   2       11   12   6   4       11   12   4   6
          - m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

              11   10   10   2       11   10   8   4       11   10   6   6
          - m1  *n1  *n2  *n3  + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3

              11   8   12   2       11   8   10   4       11   8   8   6
          + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3

              10      15   7       10      15   5   2        10      15   3   4
          + m1  *m2*n1  *n2  - 8*m1  *m2*n1  *n2 *n3  + 16*m1  *m2*n1  *n2 *n3

                10      15      6        10      13   7   2
          - 8*m1  *m2*n1  *n2*n3  + 12*m1  *m2*n1  *n2 *n3

                 10      13   5   4        10      13   3   6
          - 48*m1  *m2*n1  *n2 *n3  + 48*m1  *m2*n1  *n2 *n3

                10      11   11       10      11   9   2
          - 2*m1  *m2*n1  *n2   + 6*m1  *m2*n1  *n2 *n3

                10      11   7   4        10      11   5   6
          + 8*m1  *m2*n1  *n2 *n3  - 24*m1  *m2*n1  *n2 *n3

                 10      9   11   2        10      9   9   4
          - 12*m1  *m2*n1 *n2  *n3  + 48*m1  *m2*n1 *n2 *n3

                 10      9   7   6     10      7   15       10      7   13   2
          - 48*m1  *m2*n1 *n2 *n3  + m1  *m2*n1 *n2   + 2*m1  *m2*n1 *n2  *n3

                 10      7   11   4        10      7   9   6
          - 24*m1  *m2*n1 *n2  *n3  + 32*m1  *m2*n1 *n2 *n3

                9   2   16   6        9   2   16   4   2
          - 4*m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2 *n3

                 9   2   16   2   4       9   2   16   6       9   2   14   8
          - 20*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3  + 7*m1 *m2 *n1  *n2

                 9   2   14   6   2         9   2   14   4   4
          - 70*m1 *m2 *n1  *n2 *n3  + 156*m1 *m2 *n1  *n2 *n3

                 9   2   14   2   6        9   2   12   10
          - 84*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1  *n2

                 9   2   12   8   2         9   2   12   6   4
          + 13*m1 *m2 *n1  *n2 *n3  - 188*m1 *m2 *n1  *n2 *n3

                  9   2   12   4   6        9   2   10   12
          + 236*m1 *m2 *n1  *n2 *n3  - 12*m1 *m2 *n1  *n2

                 9   2   10   10   2         9   2   10   8   4
          + 79*m1 *m2 *n1  *n2  *n3  - 100*m1 *m2 *n1  *n2 *n3

                 9   2   10   6   6       9   2   8   14
          - 28*m1 *m2 *n1  *n2 *n3  - 6*m1 *m2 *n1 *n2

                 9   2   8   12   2         9   2   8   10   4
          - 31*m1 *m2 *n1 *n2  *n3  + 208*m1 *m2 *n1 *n2  *n3

                  9   2   8   8   6       9   2   6   16
          - 240*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2

                9   2   6   14   2        9   2   6   12   4
          - 9*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

                  9   2   6   10   6       8   3   17   5
          + 112*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1  *n2

                 8   3   17   3   2       8   3   17      4
          - 16*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2*n3

                 8   3   15   7         8   3   15   5   2
          - 28*m1 *m2 *n1  *n2  + 148*m1 *m2 *n1  *n2 *n3

                  8   3   15   3   4        8   3   15      6
          - 184*m1 *m2 *n1  *n2 *n3  + 40*m1 *m2 *n1  *n2*n3

                  8   3   13   7   2         8   3   13   5   4
          - 200*m1 *m2 *n1  *n2 *n3  + 616*m1 *m2 *n1  *n2 *n3

                  8   3   13   3   6        8   3   11   11
          - 384*m1 *m2 *n1  *n2 *n3  + 58*m1 *m2 *n1  *n2

                  8   3   11   9   2         8   3   11   7   4
          - 158*m1 *m2 *n1  *n2 *n3  - 264*m1 *m2 *n1  *n2 *n3

                  8   3   11   5   6        8   3   9   13
          + 632*m1 *m2 *n1  *n2 *n3  - 16*m1 *m2 *n1 *n2

                  8   3   9   11   2         8   3   9   9   4
          + 256*m1 *m2 *n1 *n2  *n3  - 568*m1 *m2 *n1 *n2 *n3

                  8   3   9   7   6        8   3   7   15
          + 160*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2

                 8   3   7   13   2         8   3   7   11   4
          + 10*m1 *m2 *n1 *n2  *n3  + 448*m1 *m2 *n1 *n2  *n3

                  8   3   7   9   6        8   3   5   17
          - 672*m1 *m2 *n1 *n2 *n3  + 10*m1 *m2 *n1 *n2

                 8   3   5   15   2        8   3   5   13   4
          - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

                  8   3   5   11   6       7   4   18   4
          + 224*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1  *n2

                7   4   18   2   2        7   4   16   6
          + 5*m1 *m2 *n1  *n2 *n3  + 42*m1 *m2 *n1  *n2

                  7   4   16   4   2        7   4   16   2   4
          - 129*m1 *m2 *n1  *n2 *n3  + 72*m1 *m2 *n1  *n2 *n3

                 7   4   14   8         7   4   14   6   2
          - 60*m1 *m2 *n1  *n2  + 477*m1 *m2 *n1  *n2 *n3

                  7   4   14   4   4         7   4   14   2   6
          - 720*m1 *m2 *n1  *n2 *n3  + 176*m1 *m2 *n1  *n2 *n3

                 7   4   12   10         7   4   12   8   2
          - 82*m1 *m2 *n1  *n2   - 145*m1 *m2 *n1  *n2 *n3

                   7   4   12   6   4          7   4   12   4   6
          + 1272*m1 *m2 *n1  *n2 *n3  - 1008*m1 *m2 *n1  *n2 *n3

                  7   4   10   12         7   4   10   10   2
          + 124*m1 *m2 *n1  *n2   - 647*m1 *m2 *n1  *n2  *n3

                  7   4   10   8   4          7   4   10   6   6
          + 216*m1 *m2 *n1  *n2 *n3  + 1000*m1 *m2 *n1  *n2 *n3

                 7   4   8   14         7   4   8   12   2
          + 30*m1 *m2 *n1 *n2   + 339*m1 *m2 *n1 *n2  *n3

                   7   4   8   10   4         7   4   8   8   6
          - 1344*m1 *m2 *n1 *n2  *n3  + 728*m1 *m2 *n1 *n2 *n3

                 7   4   6   16         7   4   6   14   2
          - 60*m1 *m2 *n1 *n2   + 165*m1 *m2 *n1 *n2  *n3

                  7   4   6   12   4          7   4   6   10   6
          + 504*m1 *m2 *n1 *n2  *n3  - 1176*m1 *m2 *n1 *n2  *n3

                 7   4   4   18        7   4   4   16   2
          + 10*m1 *m2 *n1 *n2   - 65*m1 *m2 *n1 *n2  *n3

                  7   4   4   12   6     6   5   19   3        6   5   17   5
          + 280*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1  *n2  - 28*m1 *m2 *n1  *n2

                 6   5   17   3   2         6   5   15   7
          + 40*m1 *m2 *n1  *n2 *n3  + 110*m1 *m2 *n1  *n2

                  6   5   15   5   2         6   5   15   3   4
          - 430*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

                 6   5   13   9         6   5   13   7   2
          - 12*m1 *m2 *n1  *n2  + 752*m1 *m2 *n1  *n2 *n3

                   6   5   13   5   4         6   5   13   3   6
          - 1568*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

                  6   5   11   11         6   5   11   9   2
          - 226*m1 *m2 *n1  *n2   + 410*m1 *m2 *n1  *n2 *n3

                   6   5   11   7   4          6   5   11   5   6
          + 1400*m1 *m2 *n1  *n2 *n3  - 1680*m1 *m2 *n1  *n2 *n3

                  6   5   9   13          6   5   9   11   2
          + 100*m1 *m2 *n1 *n2   - 1096*m1 *m2 *n1 *n2  *n3

                   6   5   9   9   4         6   5   9   7   6
          + 1344*m1 *m2 *n1 *n2 *n3  + 896*m1 *m2 *n1 *n2 *n3

                  6   5   7   15        6   5   7   13   2
          + 110*m1 *m2 *n1 *n2   + 74*m1 *m2 *n1 *n2  *n3

                   6   5   7   11   4          6   5   7   9   6
          - 1736*m1 *m2 *n1 *n2  *n3  + 1456*m1 *m2 *n1 *n2 *n3

                 6   5   5   17         6   5   5   15   2
          - 60*m1 *m2 *n1 *n2   + 304*m1 *m2 *n1 *n2  *n3

                  6   5   5   13   4          6   5   5   11   6
          + 224*m1 *m2 *n1 *n2  *n3  - 1344*m1 *m2 *n1 *n2  *n3

                6   5   3   19        6   5   3   17   2
          + 5*m1 *m2 *n1 *n2   - 54*m1 *m2 *n1 *n2  *n3

                 6   5   3   15   4         6   5   3   13   6
          + 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

                5   6   18   4        5   6   16   6         5   6   16   4   2
          + 7*m1 *m2 *n1  *n2  - 78*m1 *m2 *n1  *n2  + 135*m1 *m2 *n1  *n2 *n3

                  5   6   14   8         5   6   14   6   2
          + 128*m1 *m2 *n1  *n2  - 767*m1 *m2 *n1  *n2 *n3

                  5   6   14   4   4         5   6   12   10
          + 616*m1 *m2 *n1  *n2 *n3  + 138*m1 *m2 *n1  *n2

                  5   6   12   8   2          5   6   12   6   4
          + 515*m1 *m2 *n1  *n2 *n3  - 2072*m1 *m2 *n1  *n2 *n3

                  5   6   12   4   6         5   6   10   12
          + 728*m1 *m2 *n1  *n2 *n3  - 264*m1 *m2 *n1  *n2

                   5   6   10   10   2         5   6   10   8   4
          + 1109*m1 *m2 *n1  *n2  *n3  + 560*m1 *m2 *n1  *n2 *n3

                   5   6   10   6   6        5   6   8   14
          - 1848*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1 *n2

                  5   6   8   12   2          5   6   8   10   4
          - 913*m1 *m2 *n1 *n2  *n3  + 2184*m1 *m2 *n1 *n2  *n3

                  5   6   8   8   6         5   6   6   16
          + 280*m1 *m2 *n1 *n2 *n3  + 128*m1 *m2 *n1 *n2

                  5   6   6   14   2          5   6   6   12   4
          - 319*m1 *m2 *n1 *n2  *n3  - 1232*m1 *m2 *n1 *n2  *n3

                   5   6   6   10   6        5   6   4   18
          + 1736*m1 *m2 *n1 *n2  *n3  - 30*m1 *m2 *n1 *n2

                  5   6   4   16   2         5   6   4   14   4
          + 263*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2  *n3

                   5   6   4   12   6     5   6   2   20
          - 1008*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2

                 5   6   2   18   2        5   6   2   16   4
          - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

                  5   6   2   14   6        4   7   17   5
          + 112*m1 *m2 *n1 *n2  *n3  + 20*m1 *m2 *n1  *n2

                  4   7   15   7         4   7   15   5   2
          - 110*m1 *m2 *n1  *n2  + 250*m1 *m2 *n1  *n2 *n3

                 4   7   13   9         4   7   13   7   2
          + 40*m1 *m2 *n1  *n2  - 780*m1 *m2 *n1  *n2 *n3

                  4   7   13   5   4         4   7   11   11
          + 840*m1 *m2 *n1  *n2 *n3  + 226*m1 *m2 *n1  *n2

                  4   7   11   9   2          4   7   11   7   4
          - 102*m1 *m2 *n1  *n2 *n3  - 1680*m1 *m2 *n1  *n2 *n3

                  4   7   11   5   6         4   7   9   13
          + 784*m1 *m2 *n1  *n2 *n3  - 128*m1 *m2 *n1 *n2

                   4   7   9   11   2         4   7   9   9   4
          + 1180*m1 *m2 *n1 *n2  *n3  - 504*m1 *m2 *n1 *n2 *n3

                   4   7   9   7   6         4   7   7   15
          - 1344*m1 *m2 *n1 *n2 *n3  - 110*m1 *m2 *n1 *n2

                  4   7   7   13   2          4   7   7   11   4
          - 262*m1 *m2 *n1 *n2  *n3  + 1872*m1 *m2 *n1 *n2  *n3

                  4   7   7   9   6        4   7   5   17
          - 304*m1 *m2 *n1 *n2 *n3  + 68*m1 *m2 *n1 *n2

                  4   7   5   15   2         4   7   5   13   4
          - 396*m1 *m2 *n1 *n2  *n3  - 360*m1 *m2 *n1 *n2  *n3

                   4   7   5   11   6       4   7   3   19
          + 1312*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1 *n2

                  4   7   3   17   2         4   7   3   15   4
          + 114*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2  *n3

                  4   7   3   13   6       4   7      19   2
          - 480*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1*n2  *n3

                 4   7      17   4        4   7      15   6
          + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

                 3   8   16   6        3   8   14   8         3   8   14   6   2
          + 30*m1 *m2 *n1  *n2  - 80*m1 *m2 *n1  *n2  + 275*m1 *m2 *n1  *n2 *n3

                 3   8   12   10         3   8   12   8   2
          - 54*m1 *m2 *n1  *n2   - 431*m1 *m2 *n1  *n2 *n3

                  3   8   12   6   4         3   8   10   12
          + 728*m1 *m2 *n1  *n2 *n3  + 152*m1 *m2 *n1  *n2

                  3   8   10   10   2         3   8   10   8   4
          - 437*m1 *m2 *n1  *n2  *n3  - 784*m1 *m2 *n1  *n2 *n3

                  3   8   10   6   6        3   8   8   14
          + 560*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1 *n2

                  3   8   8   12   2         3   8   8   10   4
          + 625*m1 *m2 *n1 *n2  *n3  - 824*m1 *m2 *n1 *n2  *n3

                  3   8   8   8   6        3   8   6   16
          - 624*m1 *m2 *n1 *n2 *n3  - 72*m1 *m2 *n1 *n2

                  3   8   6   14   2         3   8   6   12   4
          + 142*m1 *m2 *n1 *n2  *n3  + 876*m1 *m2 *n1 *n2  *n3

                  3   8   6   10   6        3   8   4   18
          - 428*m1 *m2 *n1 *n2  *n3  + 14*m1 *m2 *n1 *n2

                  3   8   4   16   2        3   8   4   14   4
          - 194*m1 *m2 *n1 *n2  *n3  + 92*m1 *m2 *n1 *n2  *n3

                  3   8   4   12   6        3   8   2   18   2
          + 620*m1 *m2 *n1 *n2  *n3  + 20*m1 *m2 *n1 *n2  *n3

                 3   8   2   16   4         3   8   2   14   6
          - 92*m1 *m2 *n1 *n2  *n3  - 132*m1 *m2 *n1 *n2  *n3

                3   8   18   4       3   8   16   6        2   9   15   7
          + 4*m1 *m2 *n2  *n3  + 4*m1 *m2 *n2  *n3  + 25*m1 *m2 *n1  *n2

                 2   9   13   9         2   9   13   7   2
          - 24*m1 *m2 *n1  *n2  + 180*m1 *m2 *n1  *n2 *n3

                 2   9   11   11        2   9   11   9   2
          - 58*m1 *m2 *n1  *n2   - 94*m1 *m2 *n1  *n2 *n3

                  2   9   11   7   4        2   9   9   13
          + 392*m1 *m2 *n1  *n2 *n3  + 40*m1 *m2 *n1 *n2

                  2   9   9   11   2         2   9   9   9   4
          - 308*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2 *n3

                  2   9   9   7   6        2   9   7   15
          + 256*m1 *m2 *n1 *n2 *n3  + 33*m1 *m2 *n1 *n2

                  2   9   7   13   2         2   9   7   11   4
          + 130*m1 *m2 *n1 *n2  *n3  - 488*m1 *m2 *n1 *n2  *n3

                  2   9   7   9   6        2   9   5   17
          - 168*m1 *m2 *n1 *n2 *n3  - 16*m1 *m2 *n1 *n2

                  2   9   5   15   2         2   9   5   13   4
          + 128*m1 *m2 *n1 *n2  *n3  + 176*m1 *m2 *n1 *n2  *n3

                  2   9   5   11   6        2   9   3   17   2
          - 240*m1 *m2 *n1 *n2  *n3  - 36*m1 *m2 *n1 *n2  *n3

                 2   9   3   15   4         2   9   3   13   6
          + 96*m1 *m2 *n1 *n2  *n3  + 168*m1 *m2 *n1 *n2  *n3

                 2   9      17   4        2   9      15   6
          - 16*m1 *m2 *n1*n2  *n3  - 16*m1 *m2 *n1*n2  *n3

                    10   14   8          10   12   10           10   12   8   2
          + 11*m1*m2  *n1  *n2  + 2*m1*m2  *n1  *n2   + 65*m1*m2  *n1  *n2 *n3

                    10   10   12           10   10   10   2
          - 20*m1*m2  *n1  *n2   + 15*m1*m2  *n1  *n2  *n3

                     10   10   8   4          10   8   14
          + 120*m1*m2  *n1  *n2 *n3  - 2*m1*m2  *n1 *n2

                    10   8   12   2           10   8   10   4
          - 93*m1*m2  *n1 *n2  *n3  + 12*m1*m2  *n1 *n2  *n3

                    10   8   8   6          10   6   16
          + 68*m1*m2  *n1 *n2 *n3  + 9*m1*m2  *n1 *n2

                    10   6   14   2            10   6   12   4
          - 15*m1*m2  *n1 *n2  *n3  - 140*m1*m2  *n1 *n2  *n3

                    10   6   10   6           10   4   16   2
          - 20*m1*m2  *n1 *n2  *n3  + 28*m1*m2  *n1 *n2  *n3

                    10   4   14   4           10   4   12   6
          - 12*m1*m2  *n1 *n2  *n3  - 68*m1*m2  *n1 *n2  *n3

                    10   2   16   4           10   2   14   6       11   13   9
          + 20*m1*m2  *n1 *n2  *n3  + 20*m1*m2  *n1 *n2  *n3  + 2*m2  *n1  *n2

                11   11   11        11   11   9   2       11   9   13
          + 2*m2  *n1  *n2   + 10*m2  *n1  *n2 *n3  - 2*m2  *n1 *n2

                11   9   11   2        11   9   9   4       11   7   15
          + 8*m2  *n1 *n2  *n3  + 16*m2  *n1 *n2 *n3  - 2*m2  *n1 *n2

                 11   7   13   2       11   7   11   4       11   7   9   6
          - 10*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2 *n3

                11   5   15   2        11   5   13   4       11   3   15   4
          - 8*m2  *n1 *n2  *n3  - 16*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3

                11   3   13   6         2    11   14   6   2
          - 8*m2  *n1 *n2  *n3 ) + v1*v3 *(m1  *n1  *n2 *n3

             11   14   4   4       11   14   2   6     11   12   8   2
       - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3  - m1  *n1  *n2 *n3

             11   12   6   4       11   12   4   6     11   10   10   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - m1  *n1  *n2  *n3

             11   10   8   4       11   10   6   6     11   8   12   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3

             11   8   10   4       11   8   8   6     10      15   7
       - 4*m1  *n1 *n2  *n3  + 4*m1  *n1 *n2 *n3  + m1  *m2*n1  *n2

             10      15   5   2        10      15   3   4
       - 8*m1  *m2*n1  *n2 *n3  + 16*m1  *m2*n1  *n2 *n3

             10      15      6        10      13   7   2
       - 8*m1  *m2*n1  *n2*n3  + 12*m1  *m2*n1  *n2 *n3

              10      13   5   4        10      13   3   6       10      11   11
       - 48*m1  *m2*n1  *n2 *n3  + 48*m1  *m2*n1  *n2 *n3  - 2*m1  *m2*n1  *n2

             10      11   9   2       10      11   7   4
       + 6*m1  *m2*n1  *n2 *n3  + 8*m1  *m2*n1  *n2 *n3

              10      11   5   6        10      9   11   2
       - 24*m1  *m2*n1  *n2 *n3  - 12*m1  *m2*n1 *n2  *n3

              10      9   9   4        10      9   7   6     10      7   15
       + 48*m1  *m2*n1 *n2 *n3  - 48*m1  *m2*n1 *n2 *n3  + m1  *m2*n1 *n2

             10      7   13   2        10      7   11   4
       + 2*m1  *m2*n1 *n2  *n3  - 24*m1  *m2*n1 *n2  *n3

              10      7   9   6       9   2   16   6        9   2   16   4   2
       + 32*m1  *m2*n1 *n2 *n3  - 4*m1 *m2 *n1  *n2  + 18*m1 *m2 *n1  *n2 *n3

              9   2   16   2   4       9   2   16   6       9   2   14   8
       - 20*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3  + 7*m1 *m2 *n1  *n2

              9   2   14   6   2         9   2   14   4   4
       - 70*m1 *m2 *n1  *n2 *n3  + 156*m1 *m2 *n1  *n2 *n3

              9   2   14   2   6        9   2   12   10
       - 84*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1  *n2

              9   2   12   8   2         9   2   12   6   4
       + 13*m1 *m2 *n1  *n2 *n3  - 188*m1 *m2 *n1  *n2 *n3

               9   2   12   4   6        9   2   10   12
       + 236*m1 *m2 *n1  *n2 *n3  - 12*m1 *m2 *n1  *n2

              9   2   10   10   2         9   2   10   8   4
       + 79*m1 *m2 *n1  *n2  *n3  - 100*m1 *m2 *n1  *n2 *n3

              9   2   10   6   6       9   2   8   14        9   2   8   12   2
       - 28*m1 *m2 *n1  *n2 *n3  - 6*m1 *m2 *n1 *n2   - 31*m1 *m2 *n1 *n2  *n3

               9   2   8   10   4         9   2   8   8   6       9   2   6   16
       + 208*m1 *m2 *n1 *n2  *n3  - 240*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2

             9   2   6   14   2        9   2   6   12   4
       - 9*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               9   2   6   10   6       8   3   17   5        8   3   17   3   2
       + 112*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1  *n2  - 16*m1 *m2 *n1  *n2 *n3

             8   3   17      4        8   3   15   7         8   3   15   5   2
       + 8*m1 *m2 *n1  *n2*n3  - 28*m1 *m2 *n1  *n2  + 148*m1 *m2 *n1  *n2 *n3

               8   3   15   3   4        8   3   15      6
       - 184*m1 *m2 *n1  *n2 *n3  + 40*m1 *m2 *n1  *n2*n3

               8   3   13   7   2         8   3   13   5   4
       - 200*m1 *m2 *n1  *n2 *n3  + 616*m1 *m2 *n1  *n2 *n3

               8   3   13   3   6        8   3   11   11
       - 384*m1 *m2 *n1  *n2 *n3  + 58*m1 *m2 *n1  *n2

               8   3   11   9   2         8   3   11   7   4
       - 158*m1 *m2 *n1  *n2 *n3  - 264*m1 *m2 *n1  *n2 *n3

               8   3   11   5   6        8   3   9   13
       + 632*m1 *m2 *n1  *n2 *n3  - 16*m1 *m2 *n1 *n2

               8   3   9   11   2         8   3   9   9   4
       + 256*m1 *m2 *n1 *n2  *n3  - 568*m1 *m2 *n1 *n2 *n3

               8   3   9   7   6        8   3   7   15        8   3   7   13   2
       + 160*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2   + 10*m1 *m2 *n1 *n2  *n3

               8   3   7   11   4         8   3   7   9   6
       + 448*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2 *n3

              8   3   5   17        8   3   5   15   2        8   3   5   13   4
       + 10*m1 *m2 *n1 *n2   - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               8   3   5   11   6       7   4   18   4       7   4   18   2   2
       + 224*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1  *n2  + 5*m1 *m2 *n1  *n2 *n3

              7   4   16   6         7   4   16   4   2
       + 42*m1 *m2 *n1  *n2  - 129*m1 *m2 *n1  *n2 *n3

              7   4   16   2   4        7   4   14   8
       + 72*m1 *m2 *n1  *n2 *n3  - 60*m1 *m2 *n1  *n2

               7   4   14   6   2         7   4   14   4   4
       + 477*m1 *m2 *n1  *n2 *n3  - 720*m1 *m2 *n1  *n2 *n3

               7   4   14   2   6        7   4   12   10
       + 176*m1 *m2 *n1  *n2 *n3  - 82*m1 *m2 *n1  *n2

               7   4   12   8   2          7   4   12   6   4
       - 145*m1 *m2 *n1  *n2 *n3  + 1272*m1 *m2 *n1  *n2 *n3

                7   4   12   4   6         7   4   10   12
       - 1008*m1 *m2 *n1  *n2 *n3  + 124*m1 *m2 *n1  *n2

               7   4   10   10   2         7   4   10   8   4
       - 647*m1 *m2 *n1  *n2  *n3  + 216*m1 *m2 *n1  *n2 *n3

                7   4   10   6   6        7   4   8   14
       + 1000*m1 *m2 *n1  *n2 *n3  + 30*m1 *m2 *n1 *n2

               7   4   8   12   2          7   4   8   10   4
       + 339*m1 *m2 *n1 *n2  *n3  - 1344*m1 *m2 *n1 *n2  *n3

               7   4   8   8   6        7   4   6   16
       + 728*m1 *m2 *n1 *n2 *n3  - 60*m1 *m2 *n1 *n2

               7   4   6   14   2         7   4   6   12   4
       + 165*m1 *m2 *n1 *n2  *n3  + 504*m1 *m2 *n1 *n2  *n3

                7   4   6   10   6        7   4   4   18
       - 1176*m1 *m2 *n1 *n2  *n3  + 10*m1 *m2 *n1 *n2

              7   4   4   16   2         7   4   4   12   6     6   5   19   3
       - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1  *n2

              6   5   17   5        6   5   17   3   2         6   5   15   7
       - 28*m1 *m2 *n1  *n2  + 40*m1 *m2 *n1  *n2 *n3  + 110*m1 *m2 *n1  *n2

               6   5   15   5   2         6   5   15   3   4
       - 430*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              6   5   13   9         6   5   13   7   2
       - 12*m1 *m2 *n1  *n2  + 752*m1 *m2 *n1  *n2 *n3

                6   5   13   5   4         6   5   13   3   6
       - 1568*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

               6   5   11   11         6   5   11   9   2
       - 226*m1 *m2 *n1  *n2   + 410*m1 *m2 *n1  *n2 *n3

                6   5   11   7   4          6   5   11   5   6
       + 1400*m1 *m2 *n1  *n2 *n3  - 1680*m1 *m2 *n1  *n2 *n3

               6   5   9   13          6   5   9   11   2
       + 100*m1 *m2 *n1 *n2   - 1096*m1 *m2 *n1 *n2  *n3

                6   5   9   9   4         6   5   9   7   6
       + 1344*m1 *m2 *n1 *n2 *n3  + 896*m1 *m2 *n1 *n2 *n3

               6   5   7   15        6   5   7   13   2
       + 110*m1 *m2 *n1 *n2   + 74*m1 *m2 *n1 *n2  *n3

                6   5   7   11   4          6   5   7   9   6
       - 1736*m1 *m2 *n1 *n2  *n3  + 1456*m1 *m2 *n1 *n2 *n3

              6   5   5   17         6   5   5   15   2
       - 60*m1 *m2 *n1 *n2   + 304*m1 *m2 *n1 *n2  *n3

               6   5   5   13   4          6   5   5   11   6
       + 224*m1 *m2 *n1 *n2  *n3  - 1344*m1 *m2 *n1 *n2  *n3

             6   5   3   19        6   5   3   17   2        6   5   3   15   4
       + 5*m1 *m2 *n1 *n2   - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               6   5   3   13   6       5   6   18   4        5   6   16   6
       + 224*m1 *m2 *n1 *n2  *n3  + 7*m1 *m2 *n1  *n2  - 78*m1 *m2 *n1  *n2

               5   6   16   4   2         5   6   14   8
       + 135*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2

               5   6   14   6   2         5   6   14   4   4
       - 767*m1 *m2 *n1  *n2 *n3  + 616*m1 *m2 *n1  *n2 *n3

               5   6   12   10         5   6   12   8   2
       + 138*m1 *m2 *n1  *n2   + 515*m1 *m2 *n1  *n2 *n3

                5   6   12   6   4         5   6   12   4   6
       - 2072*m1 *m2 *n1  *n2 *n3  + 728*m1 *m2 *n1  *n2 *n3

               5   6   10   12          5   6   10   10   2
       - 264*m1 *m2 *n1  *n2   + 1109*m1 *m2 *n1  *n2  *n3

               5   6   10   8   4          5   6   10   6   6
       + 560*m1 *m2 *n1  *n2 *n3  - 1848*m1 *m2 *n1  *n2 *n3

              5   6   8   14         5   6   8   12   2
       - 30*m1 *m2 *n1 *n2   - 913*m1 *m2 *n1 *n2  *n3

                5   6   8   10   4         5   6   8   8   6
       + 2184*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2 *n3

               5   6   6   16         5   6   6   14   2
       + 128*m1 *m2 *n1 *n2   - 319*m1 *m2 *n1 *n2  *n3

                5   6   6   12   4          5   6   6   10   6
       - 1232*m1 *m2 *n1 *n2  *n3  + 1736*m1 *m2 *n1 *n2  *n3

              5   6   4   18         5   6   4   16   2
       - 30*m1 *m2 *n1 *n2   + 263*m1 *m2 *n1 *n2  *n3

               5   6   4   14   4          5   6   4   12   6     5   6   2   20
       - 112*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2

              5   6   2   18   2        5   6   2   16   4
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   6   2   14   6        4   7   17   5         4   7   15   7
       + 112*m1 *m2 *n1 *n2  *n3  + 20*m1 *m2 *n1  *n2  - 110*m1 *m2 *n1  *n2

               4   7   15   5   2        4   7   13   9
       + 250*m1 *m2 *n1  *n2 *n3  + 40*m1 *m2 *n1  *n2

               4   7   13   7   2         4   7   13   5   4
       - 780*m1 *m2 *n1  *n2 *n3  + 840*m1 *m2 *n1  *n2 *n3

               4   7   11   11         4   7   11   9   2
       + 226*m1 *m2 *n1  *n2   - 102*m1 *m2 *n1  *n2 *n3

                4   7   11   7   4         4   7   11   5   6
       - 1680*m1 *m2 *n1  *n2 *n3  + 784*m1 *m2 *n1  *n2 *n3

               4   7   9   13          4   7   9   11   2
       - 128*m1 *m2 *n1 *n2   + 1180*m1 *m2 *n1 *n2  *n3

               4   7   9   9   4          4   7   9   7   6
       - 504*m1 *m2 *n1 *n2 *n3  - 1344*m1 *m2 *n1 *n2 *n3

               4   7   7   15         4   7   7   13   2
       - 110*m1 *m2 *n1 *n2   - 262*m1 *m2 *n1 *n2  *n3

                4   7   7   11   4         4   7   7   9   6
       + 1872*m1 *m2 *n1 *n2  *n3  - 304*m1 *m2 *n1 *n2 *n3

              4   7   5   17         4   7   5   15   2
       + 68*m1 *m2 *n1 *n2   - 396*m1 *m2 *n1 *n2  *n3

               4   7   5   13   4          4   7   5   11   6
       - 360*m1 *m2 *n1 *n2  *n3  + 1312*m1 *m2 *n1 *n2  *n3

             4   7   3   19         4   7   3   17   2
       - 6*m1 *m2 *n1 *n2   + 114*m1 *m2 *n1 *n2  *n3

               4   7   3   15   4         4   7   3   13   6
       - 192*m1 *m2 *n1 *n2  *n3  - 480*m1 *m2 *n1 *n2  *n3

             4   7      19   2        4   7      17   4        4   7      15   6
       - 4*m1 *m2 *n1*n2  *n3  + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              3   8   16   6        3   8   14   8         3   8   14   6   2
       + 30*m1 *m2 *n1  *n2  - 80*m1 *m2 *n1  *n2  + 275*m1 *m2 *n1  *n2 *n3

              3   8   12   10         3   8   12   8   2
       - 54*m1 *m2 *n1  *n2   - 431*m1 *m2 *n1  *n2 *n3

               3   8   12   6   4         3   8   10   12
       + 728*m1 *m2 *n1  *n2 *n3  + 152*m1 *m2 *n1  *n2

               3   8   10   10   2         3   8   10   8   4
       - 437*m1 *m2 *n1  *n2  *n3  - 784*m1 *m2 *n1  *n2 *n3

               3   8   10   6   6        3   8   8   14
       + 560*m1 *m2 *n1  *n2 *n3  + 10*m1 *m2 *n1 *n2

               3   8   8   12   2         3   8   8   10   4
       + 625*m1 *m2 *n1 *n2  *n3  - 824*m1 *m2 *n1 *n2  *n3

               3   8   8   8   6        3   8   6   16
       - 624*m1 *m2 *n1 *n2 *n3  - 72*m1 *m2 *n1 *n2

               3   8   6   14   2         3   8   6   12   4
       + 142*m1 *m2 *n1 *n2  *n3  + 876*m1 *m2 *n1 *n2  *n3

               3   8   6   10   6        3   8   4   18
       - 428*m1 *m2 *n1 *n2  *n3  + 14*m1 *m2 *n1 *n2

               3   8   4   16   2        3   8   4   14   4
       - 194*m1 *m2 *n1 *n2  *n3  + 92*m1 *m2 *n1 *n2  *n3

               3   8   4   12   6        3   8   2   18   2
       + 620*m1 *m2 *n1 *n2  *n3  + 20*m1 *m2 *n1 *n2  *n3

              3   8   2   16   4         3   8   2   14   6       3   8   18   4
       - 92*m1 *m2 *n1 *n2  *n3  - 132*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3

             3   8   16   6        2   9   15   7        2   9   13   9
       + 4*m1 *m2 *n2  *n3  + 25*m1 *m2 *n1  *n2  - 24*m1 *m2 *n1  *n2

               2   9   13   7   2        2   9   11   11
       + 180*m1 *m2 *n1  *n2 *n3  - 58*m1 *m2 *n1  *n2

              2   9   11   9   2         2   9   11   7   4
       - 94*m1 *m2 *n1  *n2 *n3  + 392*m1 *m2 *n1  *n2 *n3

              2   9   9   13         2   9   9   11   2
       + 40*m1 *m2 *n1 *n2   - 308*m1 *m2 *n1 *n2  *n3

               2   9   9   9   4         2   9   9   7   6        2   9   7   15
       - 160*m1 *m2 *n1 *n2 *n3  + 256*m1 *m2 *n1 *n2 *n3  + 33*m1 *m2 *n1 *n2

               2   9   7   13   2         2   9   7   11   4
       + 130*m1 *m2 *n1 *n2  *n3  - 488*m1 *m2 *n1 *n2  *n3

               2   9   7   9   6        2   9   5   17
       - 168*m1 *m2 *n1 *n2 *n3  - 16*m1 *m2 *n1 *n2

               2   9   5   15   2         2   9   5   13   4
       + 128*m1 *m2 *n1 *n2  *n3  + 176*m1 *m2 *n1 *n2  *n3

               2   9   5   11   6        2   9   3   17   2
       - 240*m1 *m2 *n1 *n2  *n3  - 36*m1 *m2 *n1 *n2  *n3

              2   9   3   15   4         2   9   3   13   6
       + 96*m1 *m2 *n1 *n2  *n3  + 168*m1 *m2 *n1 *n2  *n3

              2   9      17   4        2   9      15   6           10   14   8
       - 16*m1 *m2 *n1*n2  *n3  - 16*m1 *m2 *n1*n2  *n3  + 11*m1*m2  *n1  *n2

                10   12   10           10   12   8   2           10   10   12
       + 2*m1*m2  *n1  *n2   + 65*m1*m2  *n1  *n2 *n3  - 20*m1*m2  *n1  *n2

                 10   10   10   2            10   10   8   4
       + 15*m1*m2  *n1  *n2  *n3  + 120*m1*m2  *n1  *n2 *n3

                10   8   14           10   8   12   2           10   8   10   4
       - 2*m1*m2  *n1 *n2   - 93*m1*m2  *n1 *n2  *n3  + 12*m1*m2  *n1 *n2  *n3

                 10   8   8   6          10   6   16           10   6   14   2
       + 68*m1*m2  *n1 *n2 *n3  + 9*m1*m2  *n1 *n2   - 15*m1*m2  *n1 *n2  *n3

                  10   6   12   4           10   6   10   6
       - 140*m1*m2  *n1 *n2  *n3  - 20*m1*m2  *n1 *n2  *n3

                 10   4   16   2           10   4   14   4
       + 28*m1*m2  *n1 *n2  *n3  - 12*m1*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 68*m1*m2  *n1 *n2  *n3  + 20*m1*m2  *n1 *n2  *n3

                 10   2   14   6       11   13   9       11   11   11
       + 20*m1*m2  *n1 *n2  *n3  + 2*m2  *n1  *n2  + 2*m2  *n1  *n2

              11   11   9   2       11   9   13       11   9   11   2
       + 10*m2  *n1  *n2 *n3  - 2*m2  *n1 *n2   + 8*m2  *n1 *n2  *n3

              11   9   9   4       11   7   15        11   7   13   2
       + 16*m2  *n1 *n2 *n3  - 2*m2  *n1 *n2   - 10*m2  *n1 *n2  *n3

             11   7   11   4       11   7   9   6       11   5   15   2
       + 8*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2 *n3  - 8*m2  *n1 *n2  *n3

              11   5   13   4       11   3   15   4       11   3   13   6      3
       - 16*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3 ) + v2

         11   13   7   2       11   13   5   4       11   13   3   6
   *(2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3  + 8*m1  *n1  *n2 *n3

            11   9   11   2       11   9   9   4       11   9   7   6
      - 2*m1  *n1 *n2  *n3  + 8*m1  *n1 *n2 *n3  - 8*m1  *n1 *n2 *n3

            10      14   8        10      14   6   2        10      14   4   4
      + 2*m1  *m2*n1  *n2  - 17*m1  *m2*n1  *n2 *n3  + 36*m1  *m2*n1  *n2 *n3

             10      14   2   6       10      12   10       10      12   8   2
      - 20*m1  *m2*n1  *n2 *n3  + 2*m1  *m2*n1  *n2   + 5*m1  *m2*n1  *n2 *n3

             10      12   6   4        10      12   4   6       10      10   12
      - 52*m1  *m2*n1  *n2 *n3  + 68*m1  *m2*n1  *n2 *n3  - 2*m1  *m2*n1  *n2

             10      10   10   2        10      10   8   4
      + 17*m1  *m2*n1  *n2  *n3  - 36*m1  *m2*n1  *n2 *n3

             10      10   6   6       10      8   14       10      8   12   2
      + 20*m1  *m2*n1  *n2 *n3  - 2*m1  *m2*n1 *n2   - 5*m1  *m2*n1 *n2  *n3

             10      8   10   4        10      8   8   6       9   2   15   7
      + 52*m1  *m2*n1 *n2  *n3  - 68*m1  *m2*n1 *n2 *n3  - 9*m1 *m2 *n1  *n2

             9   2   15   5   2        9   2   15   3   4
      + 44*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

             9   2   15      6       9   2   13   9        9   2   13   7   2
      + 16*m1 *m2 *n1  *n2*n3  + 2*m1 *m2 *n1  *n2  - 82*m1 *m2 *n1  *n2 *n3

              9   2   13   5   4         9   2   13   3   6
      + 248*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

             9   2   11   11        9   2   11   9   2        9   2   11   7   4
      + 20*m1 *m2 *n1  *n2   - 60*m1 *m2 *n1  *n2 *n3  - 80*m1 *m2 *n1  *n2 *n3

              9   2   11   5   6       9   2   9   13        9   2   9   11   2
      + 240*m1 *m2 *n1  *n2 *n3  - 2*m1 *m2 *n1 *n2   + 82*m1 *m2 *n1 *n2  *n3

              9   2   9   9   4         9   2   9   7   6        9   2   7   15
      - 248*m1 *m2 *n1 *n2 *n3  + 168*m1 *m2 *n1 *n2 *n3  - 11*m1 *m2 *n1 *n2

             9   2   7   13   2         9   2   7   11   4
      + 16*m1 *m2 *n1 *n2  *n3  + 136*m1 *m2 *n1 *n2  *n3

              9   2   7   9   6        8   3   16   6        8   3   16   4   2
      - 256*m1 *m2 *n1 *n2 *n3  + 16*m1 *m2 *n1  *n2  - 50*m1 *m2 *n1  *n2 *n3

             8   3   16   2   4       8   3   16   6        8   3   14   8
      + 36*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  - 33*m1 *m2 *n1  *n2

              8   3   14   6   2         8   3   14   4   4
      + 246*m1 *m2 *n1  *n2 *n3  - 396*m1 *m2 *n1  *n2 *n3

              8   3   14   2   6        8   3   12   10
      + 132*m1 *m2 *n1  *n2 *n3  - 40*m1 *m2 *n1  *n2

             8   3   12   8   2         8   3   12   6   4
      - 73*m1 *m2 *n1  *n2 *n3  + 684*m1 *m2 *n1  *n2 *n3

              8   3   12   4   6        8   3   10   12
      - 620*m1 *m2 *n1  *n2 *n3  + 58*m1 *m2 *n1  *n2

              8   3   10   10   2         8   3   10   8   4
      - 335*m1 *m2 *n1  *n2  *n3  + 228*m1 *m2 *n1  *n2 *n3

              8   3   10   6   6        8   3   8   14
      + 428*m1 *m2 *n1  *n2 *n3  + 24*m1 *m2 *n1 *n2

              8   3   8   12   2         8   3   8   10   4
      + 123*m1 *m2 *n1 *n2  *n3  - 720*m1 *m2 *n1 *n2  *n3

              8   3   8   8   6        8   3   6   16        8   3   6   14   2
      + 624*m1 *m2 *n1 *n2 *n3  - 25*m1 *m2 *n1 *n2   + 89*m1 *m2 *n1 *n2  *n3

              8   3   6   12   4         8   3   6   10   6
      + 168*m1 *m2 *n1 *n2  *n3  - 560*m1 *m2 *n1 *n2  *n3

             7   4   17   5        7   4   17   3   2       7   4   17      4
      - 14*m1 *m2 *n1  *n2  + 26*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3

             7   4   15   7         7   4   15   5   2
      + 72*m1 *m2 *n1  *n2  - 296*m1 *m2 *n1  *n2 *n3

              7   4   15   3   4        7   4   15      6        7   4   13   9
      + 256*m1 *m2 *n1  *n2 *n3  - 32*m1 *m2 *n1  *n2*n3  - 10*m1 *m2 *n1  *n2

              7   4   13   7   2          7   4   13   5   4
      + 514*m1 *m2 *n1  *n2 *n3  - 1192*m1 *m2 *n1  *n2 *n3

              7   4   13   3   6         7   4   11   11
      + 480*m1 *m2 *n1  *n2 *n3  - 152*m1 *m2 *n1  *n2

              7   4   11   9   2         7   4   11   7   4
      + 328*m1 *m2 *n1  *n2 *n3  + 864*m1 *m2 *n1  *n2 *n3

               7   4   11   5   6        7   4   9   13
      - 1312*m1 *m2 *n1  *n2 *n3  + 54*m1 *m2 *n1 *n2

              7   4   9   11   2          7   4   9   9   4
      - 710*m1 *m2 *n1 *n2  *n3  + 1144*m1 *m2 *n1 *n2 *n3

              7   4   9   7   6        7   4   7   15        7   4   7   13   2
      + 304*m1 *m2 *n1 *n2 *n3  + 80*m1 *m2 *n1 *n2   - 32*m1 *m2 *n1 *n2  *n3

               7   4   7   11   4          7   4   7   9   6
      - 1120*m1 *m2 *n1 *n2  *n3  + 1344*m1 *m2 *n1 *n2 *n3

             7   4   5   17         7   4   5   15   2        7   4   5   13   4
      - 30*m1 *m2 *n1 *n2   + 170*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

              7   4   5   11   6       6   5   18   4       6   5   18   2   2
      - 784*m1 *m2 *n1 *n2  *n3  + 6*m1 *m2 *n1  *n2  - 5*m1 *m2 *n1  *n2 *n3

             6   5   16   6         6   5   16   4   2        6   5   16   2   4
      - 68*m1 *m2 *n1  *n2  + 157*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   5   14   8         6   5   14   6   2
      + 110*m1 *m2 *n1  *n2  - 717*m1 *m2 *n1  *n2 *n3

              6   5   14   4   4         6   5   14   2   6
      + 784*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              6   5   12   10         6   5   12   8   2
      + 128*m1 *m2 *n1  *n2   + 381*m1 *m2 *n1  *n2 *n3

               6   5   12   6   4          6   5   12   4   6
      - 1960*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

              6   5   10   12          6   5   10   10   2
      - 226*m1 *m2 *n1  *n2   + 1047*m1 *m2 *n1  *n2  *n3

              6   5   10   8   4          6   5   10   6   6
      + 168*m1 *m2 *n1  *n2 *n3  - 1736*m1 *m2 *n1  *n2 *n3

             6   5   8   14         6   5   8   12   2
      - 40*m1 *m2 *n1 *n2   - 711*m1 *m2 *n1 *n2  *n3

               6   5   8   10   4         6   5   8   8   6
      + 2128*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2 *n3

              6   5   6   16         6   5   6   14   2
      + 110*m1 *m2 *n1 *n2   - 325*m1 *m2 *n1 *n2  *n3

              6   5   6   12   4          6   5   6   10   6
      - 952*m1 *m2 *n1 *n2  *n3  + 1848*m1 *m2 *n1 *n2  *n3

             6   5   4   18         6   5   4   16   2
      - 20*m1 *m2 *n1 *n2   + 173*m1 *m2 *n1 *n2  *n3

              6   5   4   14   4         6   5   4   12   6     5   6   19   3
      - 112*m1 *m2 *n1 *n2  *n3  - 728*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2

             5   6   17   5        5   6   17   3   2         5   6   15   7
      + 30*m1 *m2 *n1  *n2  - 30*m1 *m2 *n1  *n2 *n3  - 128*m1 *m2 *n1  *n2

              5   6   15   5   2         5   6   15   3   4
      + 396*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

             5   6   13   9         5   6   13   7   2
      + 30*m1 *m2 *n1  *n2  - 886*m1 *m2 *n1  *n2 *n3

               5   6   13   5   4         5   6   13   3   6
      + 1344*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              5   6   11   11         5   6   11   9   2
      + 264*m1 *m2 *n1  *n2   - 276*m1 *m2 *n1  *n2 *n3

               5   6   11   7   4          5   6   11   5   6
      - 1848*m1 *m2 *n1  *n2 *n3  + 1344*m1 *m2 *n1  *n2 *n3

              5   6   9   13          5   6   9   11   2
      - 138*m1 *m2 *n1 *n2   + 1354*m1 *m2 *n1 *n2  *n3

               5   6   9   9   4          5   6   9   7   6
      - 1008*m1 *m2 *n1 *n2 *n3  - 1456*m1 *m2 *n1 *n2 *n3

              5   6   7   15         5   6   7   13   2
      - 128*m1 *m2 *n1 *n2   - 220*m1 *m2 *n1 *n2  *n3

               5   6   7   11   4         5   6   7   9   6
      + 2184*m1 *m2 *n1 *n2  *n3  - 896*m1 *m2 *n1 *n2 *n3

             5   6   5   17         5   6   5   15   2
      + 78*m1 *m2 *n1 *n2   - 438*m1 *m2 *n1 *n2  *n3

              5   6   5   13   4          5   6   5   11   6
      - 336*m1 *m2 *n1 *n2  *n3  + 1680*m1 *m2 *n1 *n2  *n3

            5   6   3   19         5   6   3   17   2         5   6   3   15   4
      - 7*m1 *m2 *n1 *n2   + 100*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

              5   6   3   13   6       4   7   18   4        4   7   16   6
      - 448*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 60*m1 *m2 *n1  *n2

             4   7   16   4   2         4   7   14   8
      - 75*m1 *m2 *n1  *n2 *n3  - 110*m1 *m2 *n1  *n2

              4   7   14   6   2         4   7   14   4   4
      + 535*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   7   12   10         4   7   12   8   2
      - 100*m1 *m2 *n1  *n2   - 535*m1 *m2 *n1  *n2 *n3

               4   7   12   6   4         4   7   12   4   6
      + 1400*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              4   7   10   12         4   7   10   10   2
      + 226*m1 *m2 *n1  *n2   - 781*m1 *m2 *n1  *n2  *n3

              4   7   10   8   4          4   7   10   6   6
      - 896*m1 *m2 *n1  *n2 *n3  + 1176*m1 *m2 *n1  *n2 *n3

             4   7   8   14         4   7   8   12   2
      + 12*m1 *m2 *n1 *n2   + 893*m1 *m2 *n1 *n2  *n3

               4   7   8   10   4         4   7   8   8   6
      - 1512*m1 *m2 *n1 *n2  *n3  - 728*m1 *m2 *n1 *n2 *n3

              4   7   6   16         4   7   6   14   2
      - 110*m1 *m2 *n1 *n2   + 215*m1 *m2 *n1 *n2  *n3

               4   7   6   12   4          4   7   6   10   6
      + 1280*m1 *m2 *n1 *n2  *n3  - 1000*m1 *m2 *n1 *n2  *n3

             4   7   4   18         4   7   4   16   2
      + 28*m1 *m2 *n1 *n2   - 283*m1 *m2 *n1 *n2  *n3

              4   7   4   14   4          4   7   4   12   6     4   7   2   20
      + 112*m1 *m2 *n1 *n2  *n3  + 1008*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1 *n2

             4   7   2   18   2         4   7   2   16   4
      + 31*m1 *m2 *n1 *n2  *n3  - 104*m1 *m2 *n1 *n2  *n3

              4   7   2   14   6        3   8   17   5        3   8   15   7
      - 176*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 60*m1 *m2 *n1  *n2

              3   8   15   5   2        3   8   13   9
      - 100*m1 *m2 *n1  *n2 *n3  - 30*m1 *m2 *n1  *n2

              3   8   13   7   2         3   8   13   5   4
      + 410*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

              3   8   11   11        3   8   11   9   2
      - 124*m1 *m2 *n1  *n2   - 60*m1 *m2 *n1  *n2 *n3

              3   8   11   7   4         3   8   11   5   6
      + 896*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

             3   8   9   13         3   8   9   11   2        3   8   9   9   4
      + 82*m1 *m2 *n1 *n2   - 654*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2 *n3

              3   8   9   7   6        3   8   7   15         3   8   7   13   2
      + 672*m1 *m2 *n1 *n2 *n3  + 60*m1 *m2 *n1 *n2   + 252*m1 *m2 *n1 *n2  *n3

               3   8   7   11   4         3   8   7   9   6
      - 1056*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2 *n3

             3   8   5   17         3   8   5   15   2
      - 42*m1 *m2 *n1 *n2   + 240*m1 *m2 *n1 *n2  *n3

              3   8   5   13   4         3   8   5   11   6       3   8   3   19
      + 368*m1 *m2 *n1 *n2  *n3  - 632*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1 *n2

             3   8   3   17   2         3   8   3   15   4
      - 92*m1 *m2 *n1 *n2  *n3  + 160*m1 *m2 *n1 *n2  *n3

              3   8   3   13   6       3   8      19   2
      + 384*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1*n2  *n3

             3   8      17   4        3   8      15   6        2   9   16   6
      - 32*m1 *m2 *n1*n2  *n3  - 40*m1 *m2 *n1*n2  *n3  - 10*m1 *m2 *n1  *n2

             2   9   14   8        2   9   14   6   2        2   9   12   10
      + 30*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2

              2   9   12   8   2         2   9   12   6   4
      + 171*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

             2   9   10   12         2   9   10   10   2
      - 58*m1 *m2 *n1  *n2   + 109*m1 *m2 *n1  *n2  *n3

              2   9   10   8   4         2   9   10   6   6
      + 336*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              2   9   8   12   2         2   9   8   10   4
      - 261*m1 *m2 *n1 *n2  *n3  + 168*m1 *m2 *n1 *n2  *n3

              2   9   8   8   6        2   9   6   16        2   9   6   14   2
      + 240*m1 *m2 *n1 *n2 *n3  + 28*m1 *m2 *n1 *n2   - 22*m1 *m2 *n1 *n2  *n3

              2   9   6   12   4        2   9   6   10   6       2   9   4   18
      - 396*m1 *m2 *n1 *n2  *n3  + 28*m1 *m2 *n1 *n2  *n3  - 6*m1 *m2 *n1 *n2

             2   9   4   16   2       2   9   4   14   4
      + 90*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1 *n2  *n3

              2   9   4   12   6        2   9   2   18   2
      - 236*m1 *m2 *n1 *n2  *n3  - 12*m1 *m2 *n1 *n2  *n3

             2   9   2   16   4        2   9   2   14   6       2   9   18   4
      + 60*m1 *m2 *n1 *n2  *n3  + 84*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n2  *n3

            2   9   16   6          10   15   7          10   13   9
      - 4*m1 *m2 *n2  *n3  - 5*m1*m2  *n1  *n2  + 6*m1*m2  *n1  *n2

                10   13   7   2           10   11   11           10   11   9   2
      - 30*m1*m2  *n1  *n2 *n3  + 12*m1*m2  *n1  *n2   + 32*m1*m2  *n1  *n2 *n3

                10   11   7   4           10   9   13           10   9   11   2
      - 56*m1*m2  *n1  *n2 *n3  - 10*m1*m2  *n1 *n2   + 58*m1*m2  *n1 *n2  *n3

                10   9   9   4           10   9   7   6          10   7   15
      + 64*m1*m2  *n1 *n2 *n3  - 32*m1*m2  *n1 *n2 *n3  - 7*m1*m2  *n1 *n2

                10   7   13   2           10   7   11   4
      - 44*m1*m2  *n1 *n2  *n3  + 80*m1*m2  *n1 *n2  *n3

                10   7   9   6          10   5   17           10   5   15   2
      + 48*m1*m2  *n1 *n2 *n3  + 4*m1*m2  *n1 *n2   - 28*m1*m2  *n1 *n2  *n3

                10   5   13   4           10   5   11   6
      - 72*m1*m2  *n1 *n2  *n3  + 24*m1*m2  *n1 *n2  *n3

                10   3   17   2           10   3   15   4
      + 12*m1*m2  *n1 *n2  *n3  - 24*m1*m2  *n1 *n2  *n3

                10   3   13   6          10      17   4          10      15   6
      - 48*m1*m2  *n1 *n2  *n3  + 8*m1*m2  *n1*n2  *n3  + 8*m1*m2  *n1*n2  *n3

          11   14   8       11   12   8   2       11   10   12
      - m2  *n1  *n2  - 5*m2  *n1  *n2 *n3  + 2*m2  *n1  *n2

          11   10   10   2       11   10   8   4       11   8   12   2
      + m2  *n1  *n2  *n3  - 8*m2  *n1  *n2 *n3  + 9*m2  *n1 *n2  *n3

            11   8   10   4       11   8   8   6     11   6   16
      + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2 *n3  - m2  *n1 *n2

          11   6   14   2        11   6   12   4       11   6   10   6
      - m2  *n1 *n2  *n3  + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

            11   4   16   2       11   4   14   4       11   4   12   6
      - 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

            11   2   16   4       11   2   14   6      2   2
      - 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3 ) + v2 *v3 *(

               12   12   6   2           12   12   4   4
       - a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

                 12   12   2   6         12   8   10   2
       - 4*a33*m1  *n1  *n2 *n3  + a33*m1  *n1 *n2  *n3

                 12   8   8   4           12   8   6   6         11      13   7
       - 4*a33*m1  *n1 *n2 *n3  + 4*a33*m1  *n1 *n2 *n3  - a33*m1  *m2*n1  *n2

                 11      13   5   2            11      13   3   4
       + 8*a33*m1  *m2*n1  *n2 *n3  - 16*a33*m1  *m2*n1  *n2 *n3

                 11      13      6         11      11   9
       + 8*a33*m1  *m2*n1  *n2*n3  - a33*m1  *m2*n1  *n2

                 11      11   7   2            11      11   5   4
       - 2*a33*m1  *m2*n1  *n2 *n3  + 24*a33*m1  *m2*n1  *n2 *n3

                  11      11   3   6         11      9   11
       - 32*a33*m1  *m2*n1  *n2 *n3  + a33*m1  *m2*n1 *n2

                 11      9   9   2            11      9   7   4
       - 8*a33*m1  *m2*n1 *n2 *n3  + 16*a33*m1  *m2*n1 *n2 *n3

                 11      9   5   6         11      7   13
       - 8*a33*m1  *m2*n1 *n2 *n3  + a33*m1  *m2*n1 *n2

                 11      7   11   2            11      7   9   4
       + 2*a33*m1  *m2*n1 *n2  *n3  - 24*a33*m1  *m2*n1 *n2 *n3

                  11      7   7   6           10   2   14   6
       + 32*a33*m1  *m2*n1 *n2 *n3  + 4*a33*m1  *m2 *n1  *n2

                  10   2   14   4   2            10   2   14   2   4
       - 18*a33*m1  *m2 *n1  *n2 *n3  + 20*a33*m1  *m2 *n1  *n2 *n3

                 10   2   14   6         10   2   12   8
       - 4*a33*m1  *m2 *n1  *n3  - a33*m1  *m2 *n1  *n2

                  10   2   12   6   2             10   2   12   4   4
       + 35*a33*m1  *m2 *n1  *n2 *n3  - 100*a33*m1  *m2 *n1  *n2 *n3

                  10   2   12   2   6           10   2   10   10
       + 60*a33*m1  *m2 *n1  *n2 *n3  - 9*a33*m1  *m2 *n1  *n2

                  10   2   10   8   2            10   2   10   6   4
       + 27*a33*m1  *m2 *n1  *n2 *n3  + 36*a33*m1  *m2 *n1  *n2 *n3

                   10   2   10   4   6         10   2   8   12
       - 108*a33*m1  *m2 *n1  *n2 *n3  + a33*m1  *m2 *n1 *n2

                  10   2   8   10   2             10   2   8   8   4
       - 35*a33*m1  *m2 *n1 *n2  *n3  + 100*a33*m1  *m2 *n1 *n2 *n3

                  10   2   8   6   6           10   2   6   14
       - 60*a33*m1  *m2 *n1 *n2 *n3  + 5*a33*m1  *m2 *n1 *n2

                 10   2   6   12   2            10   2   6   10   4
       - 9*a33*m1  *m2 *n1 *n2  *n3  - 56*a33*m1  *m2 *n1 *n2  *n3

                   10   2   6   8   6           9   3   15   5
       + 112*a33*m1  *m2 *n1 *n2 *n3  - 6*a33*m1 *m2 *n1  *n2

                  9   3   15   3   2           9   3   15      4
       + 16*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n2*n3

                  9   3   13   7            9   3   13   5   2
       + 13*a33*m1 *m2 *n1  *n2  - 88*a33*m1 *m2 *n1  *n2 *n3

                   9   3   13   3   4            9   3   13      6
       + 120*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2*n3

                  9   3   11   9            9   3   11   7   2
       + 15*a33*m1 *m2 *n1  *n2  + 30*a33*m1 *m2 *n1  *n2 *n3

                   9   3   11   5   4             9   3   11   3   6
       - 248*a33*m1 *m2 *n1  *n2 *n3  + 192*a33*m1 *m2 *n1  *n2 *n3

                  9   3   9   11             9   3   9   9   2
       - 23*a33*m1 *m2 *n1 *n2   + 128*a33*m1 *m2 *n1 *n2 *n3

                  9   3   9   7   4             9   3   9   5   6
       - 64*a33*m1 *m2 *n1 *n2 *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

                 9   3   7   13            9   3   7   11   2
       - 9*a33*m1 *m2 *n1 *n2   - 46*a33*m1 *m2 *n1 *n2  *n3

                   9   3   7   9   4             9   3   7   7   6
       + 256*a33*m1 *m2 *n1 *n2 *n3  - 192*a33*m1 *m2 *n1 *n2 *n3

                  9   3   5   15            9   3   5   13   2
       + 10*a33*m1 *m2 *n1 *n2   - 40*a33*m1 *m2 *n1 *n2  *n3

                  9   3   5   11   4             9   3   5   9   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                 8   4   16   4           8   4   16   2   2
       + 4*a33*m1 *m2 *n1  *n2  - 5*a33*m1 *m2 *n1  *n2 *n3

                  8   4   14   6            8   4   14   4   2
       - 22*a33*m1 *m2 *n1  *n2  + 74*a33*m1 *m2 *n1  *n2 *n3

                  8   4   14   2   4           8   4   14   6
       - 36*a33*m1 *m2 *n1  *n2 *n3  - 4*a33*m1 *m2 *n1  *n3

                 8   4   12   8             8   4   12   6   2
       + 5*a33*m1 *m2 *n1  *n2  - 157*a33*m1 *m2 *n1  *n2 *n3

                   8   4   12   4   4            8   4   12   2   6
       + 288*a33*m1 *m2 *n1  *n2 *n3  - 48*a33*m1 *m2 *n1  *n2 *n3

                  8   4   10   10            8   4   10   8   2
       + 47*a33*m1 *m2 *n1  *n2   - 85*a33*m1 *m2 *n1  *n2 *n3

                   8   4   10   6   4             8   4   10   4   6
       - 300*a33*m1 *m2 *n1  *n2 *n3  + 340*a33*m1 *m2 *n1  *n2 *n3

                  8   4   8   12             8   4   8   10   2
       - 19*a33*m1 *m2 *n1 *n2   + 227*a33*m1 *m2 *n1 *n2  *n3

                   8   4   8   8   4             8   4   8   6   6
       - 288*a33*m1 *m2 *n1 *n2 *n3  - 232*a33*m1 *m2 *n1 *n2 *n3

                  8   4   6   14            8   4   6   12   2
       - 25*a33*m1 *m2 *n1 *n2   + 11*a33*m1 *m2 *n1 *n2  *n3

                   8   4   6   10   4             8   4   6   8   6
       + 336*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  8   4   4   16            8   4   4   14   2
       + 10*a33*m1 *m2 *n1 *n2   - 65*a33*m1 *m2 *n1 *n2  *n3

                   8   4   4   10   6         7   5   17   3
       + 280*a33*m1 *m2 *n1 *n2  *n3  - a33*m1 *m2 *n1  *n2

                  7   5   15   5            7   5   15   3   2
       + 13*a33*m1 *m2 *n1  *n2  - 14*a33*m1 *m2 *n1  *n2 *n3

                 7   5   15      4            7   5   13   7
       - 8*a33*m1 *m2 *n1  *n2*n3  - 25*a33*m1 *m2 *n1  *n2

                   7   5   13   5   2            7   5   13   3   4
       + 120*a33*m1 *m2 *n1  *n2 *n3  - 32*a33*m1 *m2 *n1  *n2 *n3

                  7   5   13      6            7   5   11   9
       - 32*a33*m1 *m2 *n1  *n2*n3  - 23*a33*m1 *m2 *n1  *n2

                   7   5   11   7   2             7   5   11   5   4
       - 118*a33*m1 *m2 *n1  *n2 *n3  + 344*a33*m1 *m2 *n1  *n2 *n3

                  7   5   9   11             7   5   9   9   2
       + 51*a33*m1 *m2 *n1 *n2   - 200*a33*m1 *m2 *n1 *n2 *n3

                   7   5   9   7   4             7   5   9   5   6
       - 192*a33*m1 *m2 *n1 *n2 *n3  + 368*a33*m1 *m2 *n1 *n2 *n3

                 7   5   7   13             7   5   7   11   2
       + 5*a33*m1 *m2 *n1 *n2   + 186*a33*m1 *m2 *n1 *n2  *n3

                   7   5   7   9   4             7   5   7   7   6
       - 392*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  7   5   5   15            7   5   5   13   2
       - 25*a33*m1 *m2 *n1 *n2   + 80*a33*m1 *m2 *n1 *n2  *n3

                   7   5   5   11   4             7   5   5   9   6
       + 224*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                 7   5   3   17            7   5   3   15   2
       + 5*a33*m1 *m2 *n1 *n2   - 54*a33*m1 *m2 *n1 *n2  *n3

                  7   5   3   13   4             7   5   3   11   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

               6   6   16   4           6   6   16   2   2
       - a33*m1 *m2 *n1  *n2  - 5*a33*m1 *m2 *n1  *n2 *n3

                 6   6   14   6            6   6   14   4   2
       + 9*a33*m1 *m2 *n1  *n2  + 17*a33*m1 *m2 *n1  *n2 *n3

                  6   6   14   2   4           6   6   12   8
       - 56*a33*m1 *m2 *n1  *n2 *n3  - 9*a33*m1 *m2 *n1  *n2

                  6   6   12   6   2             6   6   12   4   4
       + 67*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                   6   6   12   2   6            6   6   10   10
       - 112*a33*m1 *m2 *n1  *n2 *n3  - 19*a33*m1 *m2 *n1  *n2

                  6   6   10   8   2             6   6   10   6   4
       - 67*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                   6   6   10   4   6            6   6   8   12
       + 168*a33*m1 *m2 *n1  *n2 *n3  + 19*a33*m1 *m2 *n1 *n2

                   6   6   8   10   2             6   6   8   8   4
       - 129*a33*m1 *m2 *n1 *n2  *n3  - 168*a33*m1 *m2 *n1 *n2 *n3

                   6   6   8   6   6           6   6   6   14
       + 280*a33*m1 *m2 *n1 *n2 *n3  + 9*a33*m1 *m2 *n1 *n2

                  6   6   6   12   2             6   6   6   10   4
       + 73*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   6   6   6   8   6           6   6   4   16
       - 280*a33*m1 *m2 *n1 *n2 *n3  - 9*a33*m1 *m2 *n1 *n2

                  6   6   4   14   2            6   6   4   12   4
       + 67*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   6   6   4   10   6         6   6   2   18
       - 168*a33*m1 *m2 *n1 *n2  *n3  + a33*m1 *m2 *n1 *n2

                  6   6   2   16   2            6   6   2   14   4
       - 23*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   6   6   2   12   6         5   7   17   3
       + 112*a33*m1 *m2 *n1 *n2  *n3  - a33*m1 *m2 *n1  *n2

                 5   7   15   5            5   7   15   3   2
       + 9*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2 *n3

                 5   7   13   7             5   7   13   5   2
       - 9*a33*m1 *m2 *n1  *n2  + 116*a33*m1 *m2 *n1  *n2 *n3

                   5   7   13   3   4            5   7   11   9
       - 168*a33*m1 *m2 *n1  *n2 *n3  - 19*a33*m1 *m2 *n1  *n2

                  5   7   11   7   2             5   7   11   5   4
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                   5   7   11   3   6            5   7   9   11
       - 224*a33*m1 *m2 *n1  *n2 *n3  + 19*a33*m1 *m2 *n1 *n2

                   5   7   9   9   2             5   7   9   7   4
       - 164*a33*m1 *m2 *n1 *n2 *n3  + 168*a33*m1 *m2 *n1 *n2 *n3

                   5   7   9   5   6           5   7   7   13
       + 336*a33*m1 *m2 *n1 *n2 *n3  + 9*a33*m1 *m2 *n1 *n2

                  5   7   7   11   2             5   7   7   9   4
       + 10*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                   5   7   7   7   6           5   7   5   15
       + 224*a33*m1 *m2 *n1 *n2 *n3  - 9*a33*m1 *m2 *n1 *n2

                  5   7   5   13   2            5   7   5   11   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2  *n3

                   5   7   5   9   6         5   7   3   17
       - 368*a33*m1 *m2 *n1 *n2 *n3  + a33*m1 *m2 *n1 *n2

                  5   7   3   15   2           5   7      17   2
       + 10*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2  *n3

                  5   7      15   4            5   7      13   6
       + 24*a33*m1 *m2 *n1*n2  *n3  + 32*a33*m1 *m2 *n1*n2  *n3

                 4   8   16   4            4   8   14   6
       - 5*a33*m1 *m2 *n1  *n2  + 25*a33*m1 *m2 *n1  *n2

                  4   8   14   4   2           4   8   12   8
       - 75*a33*m1 *m2 *n1  *n2 *n3  - 5*a33*m1 *m2 *n1  *n2

                   4   8   12   6   2             4   8   12   4   4
       + 185*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  4   8   10   10            4   8   10   8   2
       - 51*a33*m1 *m2 *n1  *n2   + 81*a33*m1 *m2 *n1  *n2 *n3

                   4   8   10   6   4             4   8   10   4   6
       + 392*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  4   8   8   12             4   8   8   10   2
       + 23*a33*m1 *m2 *n1 *n2   - 263*a33*m1 *m2 *n1 *n2  *n3

                   4   8   8   8   4             4   8   8   6   6
       + 280*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                  4   8   6   14           4   8   6   12   2
       + 25*a33*m1 *m2 *n1 *n2   + 5*a33*m1 *m2 *n1 *n2  *n3

                   4   8   6   10   4             4   8   6   8   6
       - 408*a33*m1 *m2 *n1 *n2  *n3  + 232*a33*m1 *m2 *n1 *n2 *n3

                  4   8   4   16            4   8   4   14   2
       - 13*a33*m1 *m2 *n1 *n2   + 78*a33*m1 *m2 *n1 *n2  *n3

                 4   8   4   12   4             4   8   4   10   6
       - 4*a33*m1 *m2 *n1 *n2  *n3  - 340*a33*m1 *m2 *n1 *n2  *n3

               4   8   2   18            4   8   2   16   2
       + a33*m1 *m2 *n1 *n2   - 11*a33*m1 *m2 *n1 *n2  *n3

                  4   8   2   14   4            4   8   2   12   6
       + 16*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

                 4   8   16   4           4   8   14   6
       + 4*a33*m1 *m2 *n2  *n3  + 4*a33*m1 *m2 *n2  *n3

                  3   9   15   5            3   9   13   7
       - 10*a33*m1 *m2 *n1  *n2  + 25*a33*m1 *m2 *n1  *n2

                   3   9   13   5   2            3   9   11   9
       - 100*a33*m1 *m2 *n1  *n2 *n3  + 19*a33*m1 *m2 *n1  *n2

                   3   9   11   7   2             3   9   11   5   4
       + 130*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  3   9   9   11             3   9   9   9   2
       - 47*a33*m1 *m2 *n1 *n2   + 164*a33*m1 *m2 *n1 *n2 *n3

                   3   9   9   7   4             3   9   9   5   6
       + 224*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                 3   9   7   13             3   9   7   11   2
       - 5*a33*m1 *m2 *n1 *n2   - 182*a33*m1 *m2 *n1 *n2  *n3

                   3   9   7   9   4             3   9   7   7   6
       + 328*a33*m1 *m2 *n1 *n2 *n3  + 192*a33*m1 *m2 *n1 *n2 *n3

                  3   9   5   15            3   9   5   13   2
       + 22*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                   3   9   5   11   4             3   9   5   9   6
       - 240*a33*m1 *m2 *n1 *n2  *n3  + 200*a33*m1 *m2 *n1 *n2 *n3

                 3   9   3   17            3   9   3   15   2
       - 4*a33*m1 *m2 *n1 *n2   + 52*a33*m1 *m2 *n1 *n2  *n3

                  3   9   3   13   4             3   9   3   11   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2  *n3

                 3   9      17   2            3   9      15   4
       - 4*a33*m1 *m2 *n1*n2  *n3  + 16*a33*m1 *m2 *n1*n2  *n3

                  3   9      13   6            2   10   14   6
       + 24*a33*m1 *m2 *n1*n2  *n3  - 10*a33*m1 *m2  *n1  *n2

                 2   10   12   8            2   10   12   6   2
       + 9*a33*m1 *m2  *n1  *n2  - 75*a33*m1 *m2  *n1  *n2 *n3

                  2   10   10   10            2   10   10   8   2
       + 23*a33*m1 *m2  *n1  *n2   + 31*a33*m1 *m2  *n1  *n2 *n3

                   2   10   10   6   4            2   10   8   12
       - 168*a33*m1 *m2  *n1  *n2 *n3  - 15*a33*m1 *m2  *n1 *n2

                   2   10   8   10   2            2   10   8   8   4
       + 125*a33*m1 *m2  *n1 *n2  *n3  + 48*a33*m1 *m2  *n1 *n2 *n3

                   2   10   8   6   6            2   10   6   14
       - 112*a33*m1 *m2  *n1 *n2 *n3  - 13*a33*m1 *m2  *n1 *n2

                  2   10   6   12   2             2   10   6   10   4
       - 43*a33*m1 *m2  *n1 *n2  *n3  + 204*a33*m1 *m2  *n1 *n2  *n3

                  2   10   6   8   6           2   10   4   16
       + 60*a33*m1 *m2  *n1 *n2 *n3  + 6*a33*m1 *m2  *n1 *n2

                  2   10   4   14   2            2   10   4   12   4
       - 50*a33*m1 *m2  *n1 *n2  *n3  - 52*a33*m1 *m2  *n1 *n2  *n3

                   2   10   4   10   6            2   10   2   16   2
       + 108*a33*m1 *m2  *n1 *n2  *n3  + 12*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   14   4            2   10   2   12   6
       - 36*a33*m1 *m2  *n1 *n2  *n3  - 60*a33*m1 *m2  *n1 *n2  *n3

                 2   10   16   4           2   10   14   6
       + 4*a33*m1 *m2  *n2  *n3  + 4*a33*m1 *m2  *n2  *n3

                    11   13   7            11   11   9
       - 5*a33*m1*m2  *n1  *n2  - a33*m1*m2  *n1  *n2

                     11   11   7   2              11   9   11
       - 30*a33*m1*m2  *n1  *n2 *n3  + 9*a33*m1*m2  *n1 *n2

                    11   9   9   2               11   9   7   4
       - 8*a33*m1*m2  *n1 *n2 *n3  - 56*a33*m1*m2  *n1 *n2 *n3

                  11   7   13               11   7   11   2
       + a33*m1*m2  *n1 *n2   + 42*a33*m1*m2  *n1 *n2  *n3

                    11   7   9   4               11   7   7   6
       - 8*a33*m1*m2  *n1 *n2 *n3  - 32*a33*m1*m2  *n1 *n2 *n3

                    11   5   15              11   5   13   2
       - 4*a33*m1*m2  *n1 *n2   + 8*a33*m1*m2  *n1 *n2  *n3

                     11   5   11   4              11   5   9   6
       + 64*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2 *n3

                     11   3   15   2              11   3   13   4
       - 12*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2  *n3

                     11   3   11   6              11      15   4
       + 32*a33*m1*m2  *n1 *n2  *n3  - 8*a33*m1*m2  *n1*n2  *n3

                    11      13   6         12   12   8         12   10   10
       - 8*a33*m1*m2  *n1*n2  *n3  - a33*m2  *n1  *n2  - a33*m2  *n1  *n2

                 12   10   8   2         12   8   12           12   8   10   2
       - 5*a33*m2  *n1  *n2 *n3  + a33*m2  *n1 *n2   - 4*a33*m2  *n1 *n2  *n3

                 12   8   8   4         12   6   14           12   6   12   2
       - 8*a33*m2  *n1 *n2 *n3  + a33*m2  *n1 *n2   + 5*a33*m2  *n1 *n2  *n3

                 12   6   10   4           12   6   8   6
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2 *n3

                 12   4   14   2           12   4   12   4
       + 4*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 12   2   14   4           12   2   12   6      2
       + 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3 ) + v2 *v3*(

          11   13   6   3       11   13   4   5       11   13   2   7
      2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3  + 8*m1  *n1  *n2 *n3

             11   9   10   3       11   9   8   5       11   9   6   7
       - 2*m1  *n1 *n2  *n3  + 8*m1  *n1 *n2 *n3  - 8*m1  *n1 *n2 *n3

             10      14   7           10      14   5   3
       + 2*m1  *m2*n1  *n2 *n3 - 16*m1  *m2*n1  *n2 *n3

              10      14   3   5        10      14      7
       + 32*m1  *m2*n1  *n2 *n3  - 16*m1  *m2*n1  *n2*n3

             10      12   9          10      12   7   3
       + 2*m1  *m2*n1  *n2 *n3 + 6*m1  *m2*n1  *n2 *n3

              10      12   5   5        10      12   3   7
       - 56*m1  *m2*n1  *n2 *n3  + 72*m1  *m2*n1  *n2 *n3

             10      10   11           10      10   9   3
       - 2*m1  *m2*n1  *n2  *n3 + 16*m1  *m2*n1  *n2 *n3

              10      10   7   5        10      10   5   7
       - 32*m1  *m2*n1  *n2 *n3  + 16*m1  *m2*n1  *n2 *n3

             10      8   13          10      8   11   3        10      8   9   5
       - 2*m1  *m2*n1 *n2  *n3 - 6*m1  *m2*n1 *n2  *n3  + 56*m1  *m2*n1 *n2 *n3

              10      8   7   7       9   2   15   6
       - 72*m1  *m2*n1 *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3

              9   2   15   4   3        9   2   15   2   5       9   2   15   7
       + 36*m1 *m2 *n1  *n2 *n3  - 40*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n3

             9   2   13   8           9   2   13   6   3
       + 4*m1 *m2 *n1  *n2 *n3 - 88*m1 *m2 *n1  *n2 *n3

               9   2   13   4   5         9   2   13   2   7
       + 240*m1 *m2 *n1  *n2 *n3  - 144*m1 *m2 *n1  *n2 *n3

              9   2   11   10           9   2   11   8   3
       + 20*m1 *m2 *n1  *n2  *n3 - 50*m1 *m2 *n1  *n2 *n3

               9   2   11   6   5         9   2   11   4   7
       - 120*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

             9   2   9   12           9   2   9   10   3
       - 4*m1 *m2 *n1 *n2  *n3 + 88*m1 *m2 *n1 *n2  *n3

               9   2   9   8   5         9   2   9   6   7
       - 240*m1 *m2 *n1 *n2 *n3  + 144*m1 *m2 *n1 *n2 *n3

              9   2   7   14           9   2   7   12   3
       - 12*m1 *m2 *n1 *n2  *n3 + 14*m1 *m2 *n1 *n2  *n3

               9   2   7   10   5         9   2   7   8   7
       + 160*m1 *m2 *n1 *n2  *n3  - 288*m1 *m2 *n1 *n2 *n3

              8   3   16   5           8   3   16   3   3
       + 12*m1 *m2 *n1  *n2 *n3 - 32*m1 *m2 *n1  *n2 *n3

              8   3   16      5        8   3   14   7
       + 16*m1 *m2 *n1  *n2*n3  - 36*m1 *m2 *n1  *n2 *n3

               8   3   14   5   3         8   3   14   3   5
       + 228*m1 *m2 *n1  *n2 *n3  - 312*m1 *m2 *n1  *n2 *n3

              8   3   14      7        8   3   12   9
       + 72*m1 *m2 *n1  *n2*n3  - 30*m1 *m2 *n1  *n2 *n3

               8   3   12   7   3         8   3   12   5   5
       - 136*m1 *m2 *n1  *n2 *n3  + 752*m1 *m2 *n1  *n2 *n3

               8   3   12   3   7        8   3   10   11
       - 576*m1 *m2 *n1  *n2 *n3  + 66*m1 *m2 *n1  *n2  *n3

               8   3   10   9   3        8   3   10   7   5
       - 326*m1 *m2 *n1  *n2 *n3  + 88*m1 *m2 *n1  *n2 *n3

               8   3   10   5   7        8   3   8   13
       + 600*m1 *m2 *n1  *n2 *n3  + 18*m1 *m2 *n1 *n2  *n3

               8   3   8   11   3         8   3   8   9   5
       + 168*m1 *m2 *n1 *n2  *n3  - 768*m1 *m2 *n1 *n2 *n3

               8   3   8   7   7        8   3   6   15
       + 576*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              8   3   6   13   3         8   3   6   11   5
       + 98*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

               8   3   6   9   7       7   4   17   4
       - 672*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3

              7   4   17   2   3        7   4   15   6
       + 10*m1 *m2 *n1  *n2 *n3  + 64*m1 *m2 *n1  *n2 *n3

               7   4   15   4   3         7   4   15   2   5
       - 216*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   4   13   8            7   4   13   6   3
       - 40*m1 *m2 *n1  *n2 *n3 + 578*m1 *m2 *n1  *n2 *n3

                7   4   13   4   5         7   4   13   2   7
       - 1056*m1 *m2 *n1  *n2 *n3  + 288*m1 *m2 *n1  *n2 *n3

               7   4   11   10            7   4   11   8   3
       - 144*m1 *m2 *n1  *n2  *n3 + 160*m1 *m2 *n1  *n2 *n3

                7   4   11   6   5          7   4   11   4   7
       + 1216*m1 *m2 *n1  *n2 *n3  - 1344*m1 *m2 *n1  *n2 *n3

              7   4   9   12            7   4   9   10   3
       + 88*m1 *m2 *n1 *n2  *n3 - 798*m1 *m2 *n1 *n2  *n3

               7   4   9   8   5         7   4   9   6   7
       + 944*m1 *m2 *n1 *n2 *n3  + 720*m1 *m2 *n1 *n2 *n3

              7   4   7   14           7   4   7   12   3
       + 80*m1 *m2 *n1 *n2  *n3 + 56*m1 *m2 *n1 *n2  *n3

                7   4   7   10   5          7   4   7   8   7
       - 1344*m1 *m2 *n1 *n2  *n3  + 1344*m1 *m2 *n1 *n2 *n3

              7   4   5   16            7   4   5   14   3
       - 40*m1 *m2 *n1 *n2  *n3 + 210*m1 *m2 *n1 *n2  *n3

               7   4   5   12   5          7   4   5   10   7
       + 112*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2  *n3

             6   5   18   3           6   5   16   5
       + 2*m1 *m2 *n1  *n2 *n3 - 46*m1 *m2 *n1  *n2 *n3

              6   5   16   3   3         6   5   14   7
       + 70*m1 *m2 *n1  *n2 *n3  + 130*m1 *m2 *n1  *n2 *n3

               6   5   14   5   3         6   5   14   3   5
       - 616*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

              6   5   12   9            6   5   12   7   3
       + 66*m1 *m2 *n1  *n2 *n3 + 686*m1 *m2 *n1  *n2 *n3

                6   5   12   5   5         6   5   12   3   7
       - 2016*m1 *m2 *n1  *n2 *n3  + 672*m1 *m2 *n1  *n2 *n3

               6   5   10   11            6   5   10   9   3
       - 262*m1 *m2 *n1  *n2  *n3 + 896*m1 *m2 *n1  *n2 *n3

               6   5   10   7   5          6   5   10   5   7
       + 896*m1 *m2 *n1  *n2 *n3  - 2016*m1 *m2 *n1  *n2 *n3

              6   5   8   13            6   5   8   11   3
       + 10*m1 *m2 *n1 *n2  *n3 - 994*m1 *m2 *n1 *n2  *n3

                6   5   8   9   5         6   5   8   7   7
       + 2128*m1 *m2 *n1 *n2 *n3  + 336*m1 *m2 *n1 *n2 *n3

               6   5   6   15            6   5   6   13   3
       + 130*m1 *m2 *n1 *n2  *n3 - 280*m1 *m2 *n1 *n2  *n3

                6   5   6   11   5          6   5   6   9   7
       - 1344*m1 *m2 *n1 *n2  *n3  + 2016*m1 *m2 *n1 *n2 *n3

              6   5   4   17            6   5   4   15   3
       - 30*m1 *m2 *n1 *n2  *n3 + 238*m1 *m2 *n1 *n2  *n3

               6   5   4   13   5          6   5   4   11   7
       - 112*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2  *n3

              5   6   17   4            5   6   15   6
       + 12*m1 *m2 *n1  *n2 *n3 - 108*m1 *m2 *n1  *n2 *n3

               5   6   15   4   3         5   6   13   8
       + 210*m1 *m2 *n1  *n2 *n3  + 108*m1 *m2 *n1  *n2 *n3

               5   6   13   6   3         5   6   13   4   5
       - 952*m1 *m2 *n1  *n2 *n3  + 896*m1 *m2 *n1  *n2 *n3

               5   6   11   10            5   6   11   8   3
       + 228*m1 *m2 *n1  *n2  *n3 + 210*m1 *m2 *n1  *n2 *n3

                5   6   11   6   5          5   6   11   4   7
       - 2352*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

               5   6   9   12             5   6   9   10   3
       - 228*m1 *m2 *n1 *n2  *n3 + 1456*m1 *m2 *n1 *n2  *n3

               5   6   9   8   5          5   6   9   6   7
       - 224*m1 *m2 *n1 *n2 *n3  - 2016*m1 *m2 *n1 *n2 *n3

               5   6   7   14            5   6   7   12   3
       - 108*m1 *m2 *n1 *n2  *n3 - 574*m1 *m2 *n1 *n2  *n3

                5   6   7   10   5         5   6   7   8   7
       + 2576*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2 *n3

               5   6   5   16            5   6   5   14   3
       + 108*m1 *m2 *n1 *n2  *n3 - 504*m1 *m2 *n1 *n2  *n3

               5   6   5   12   5          5   6   5   10   7
       - 672*m1 *m2 *n1 *n2  *n3  + 2016*m1 *m2 *n1 *n2  *n3

              5   6   3   18            5   6   3   16   3
       - 12*m1 *m2 *n1 *n2  *n3 + 154*m1 *m2 *n1 *n2  *n3

               5   6   3   14   5         5   6   3   12   7
       - 224*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2  *n3

              4   7   16   5            4   7   14   7
       + 30*m1 *m2 *n1  *n2 *n3 - 130*m1 *m2 *n1  *n2 *n3

               4   7   14   5   3        4   7   12   9
       + 350*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2 *n3

               4   7   12   7   3          4   7   12   5   5
       - 840*m1 *m2 *n1  *n2 *n3  + 1120*m1 *m2 *n1  *n2 *n3

               4   7   10   11            4   7   10   9   3
       + 262*m1 *m2 *n1  *n2  *n3 - 434*m1 *m2 *n1  *n2 *n3

                4   7   10   7   5          4   7   10   5   7
       - 1680*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

              4   7   8   13             4   7   8   11   3
       - 66*m1 *m2 *n1 *n2  *n3 + 1232*m1 *m2 *n1 *n2  *n3

                4   7   8   9   5          4   7   8   7   7
       - 1120*m1 *m2 *n1 *n2 *n3  - 1344*m1 *m2 *n1 *n2 *n3

               4   7   6   15           4   7   6   13   3
       - 130*m1 *m2 *n1 *n2  *n3 + 30*m1 *m2 *n1 *n2  *n3

                4   7   6   11   5         4   7   6   9   7
       + 1840*m1 *m2 *n1 *n2  *n3  - 720*m1 *m2 *n1 *n2 *n3

              4   7   4   17            4   7   4   15   3
       + 46*m1 *m2 *n1 *n2  *n3 - 392*m1 *m2 *n1 *n2  *n3

                4   7   4   11   7       4   7   2   19
       + 1344*m1 *m2 *n1 *n2  *n3  - 2*m1 *m2 *n1 *n2  *n3

              4   7   2   17   3         4   7   2   15   5
       + 54*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2  *n3

               4   7   2   13   7        3   8   15   6
       - 288*m1 *m2 *n1 *n2  *n3  + 40*m1 *m2 *n1  *n2 *n3

              3   8   13   8            3   8   13   6   3
       - 80*m1 *m2 *n1  *n2 *n3 + 350*m1 *m2 *n1  *n2 *n3

              3   8   11   10            3   8   11   8   3
       - 88*m1 *m2 *n1  *n2  *n3 - 392*m1 *m2 *n1  *n2 *n3

               3   8   11   6   5         3   8   9   12
       + 896*m1 *m2 *n1  *n2 *n3  + 144*m1 *m2 *n1 *n2  *n3

               3   8   9   10   3         3   8   9   8   5
       - 602*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2 *n3

               3   8   9   6   7        3   8   7   14
       + 672*m1 *m2 *n1 *n2 *n3  + 40*m1 *m2 *n1 *n2  *n3

               3   8   7   12   3          3   8   7   10   5
       + 544*m1 *m2 *n1 *n2  *n3  - 1088*m1 *m2 *n1 *n2  *n3

               3   8   7   8   7        3   8   5   16
       - 576*m1 *m2 *n1 *n2 *n3  - 64*m1 *m2 *n1 *n2  *n3

               3   8   5   14   3         3   8   5   12   5
       + 244*m1 *m2 *n1 *n2  *n3  + 728*m1 *m2 *n1 *n2  *n3

               3   8   5   10   7       3   8   3   18
       - 600*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1 *n2  *n3

               3   8   3   16   3         3   8   3   14   5
       - 152*m1 *m2 *n1 *n2  *n3  + 192*m1 *m2 *n1 *n2  *n3

               3   8   3   12   7       3   8      18   3
       + 576*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1*n2  *n3

              3   8      16   5        3   8      14   7
       - 56*m1 *m2 *n1*n2  *n3  - 72*m1 *m2 *n1*n2  *n3

              2   9   14   7           2   9   12   9
       + 30*m1 *m2 *n1  *n2 *n3 - 18*m1 *m2 *n1  *n2 *n3

               2   9   12   7   3        2   9   10   11
       + 210*m1 *m2 *n1  *n2 *n3  - 66*m1 *m2 *n1  *n2  *n3

              2   9   10   9   3         2   9   10   7   5
       - 56*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

              2   9   8   13            2   9   8   11   3
       + 30*m1 *m2 *n1 *n2  *n3 - 342*m1 *m2 *n1 *n2  *n3

              2   9   8   9   5         2   9   8   7   7
       - 96*m1 *m2 *n1 *n2 *n3  + 288*m1 *m2 *n1 *n2 *n3

              2   9   6   15           2   9   6   13   3
       + 36*m1 *m2 *n1 *n2  *n3 + 80*m1 *m2 *n1 *n2  *n3

               2   9   6   11   5         2   9   6   9   7
       - 544*m1 *m2 *n1 *n2  *n3  - 144*m1 *m2 *n1 *n2 *n3

              2   9   4   17            2   9   4   15   3
       - 12*m1 *m2 *n1 *n2  *n3 + 132*m1 *m2 *n1 *n2  *n3

               2   9   4   13   5         2   9   4   11   7
       + 104*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              2   9   2   17   3        2   9   2   15   5
       - 24*m1 *m2 *n1 *n2  *n3  + 96*m1 *m2 *n1 *n2  *n3

               2   9   2   13   7       2   9   17   5       2   9   15   7
       + 144*m1 *m2 *n1 *n2  *n3  - 8*m1 *m2 *n2  *n3  - 8*m1 *m2 *n2  *n3

                 10   13   8             10   11   10
       + 12*m1*m2  *n1  *n2 *n3 + 4*m1*m2  *n1  *n2  *n3

                 10   11   8   3           10   9   12
       + 70*m1*m2  *n1  *n2 *n3  - 20*m1*m2  *n1 *n2  *n3

                 10   9   10   3            10   9   8   5
       + 24*m1*m2  *n1 *n2  *n3  + 128*m1*m2  *n1 *n2 *n3

                10   7   14              10   7   12   3
       - 4*m1*m2  *n1 *n2  *n3 - 94*m1*m2  *n1 *n2  *n3

                 10   7   10   5           10   7   8   7
       + 24*m1*m2  *n1 *n2  *n3  + 72*m1*m2  *n1 *n2 *n3

                10   5   16              10   5   14   3
       + 8*m1*m2  *n1 *n2  *n3 - 24*m1*m2  *n1 *n2  *n3

                  10   5   12   5           10   5   10   7
       - 144*m1*m2  *n1 *n2  *n3  - 16*m1*m2  *n1 *n2  *n3

                 10   3   16   3           10   3   14   5
       + 24*m1*m2  *n1 *n2  *n3  - 24*m1*m2  *n1 *n2  *n3

                 10   3   12   7           10      16   5
       - 72*m1*m2  *n1 *n2  *n3  + 16*m1*m2  *n1*n2  *n3

                 10      14   7       11   12   9          11   10   11
       + 16*m1*m2  *n1*n2  *n3  + 2*m2  *n1  *n2 *n3 + 2*m2  *n1  *n2  *n3

              11   10   9   3       11   8   13          11   8   11   3
       + 10*m2  *n1  *n2 *n3  - 2*m2  *n1 *n2  *n3 + 8*m2  *n1 *n2  *n3

              11   8   9   5       11   6   15           11   6   13   3
       + 16*m2  *n1 *n2 *n3  - 2*m2  *n1 *n2  *n3 - 10*m2  *n1 *n2  *n3

             11   6   11   5       11   6   9   7       11   4   15   3
       + 8*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2 *n3  - 8*m2  *n1 *n2  *n3

              11   4   13   5       11   2   15   5       11   2   13   7
       - 16*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3 ) + v2

      2      11   13   7   2       11   13   5   4       11   13   3   6
   *v3 *(2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3  + 8*m1  *n1  *n2 *n3

                11   9   11   2       11   9   9   4       11   9   7   6
          - 2*m1  *n1 *n2  *n3  + 8*m1  *n1 *n2 *n3  - 8*m1  *n1 *n2 *n3

                10      14   8        10      14   6   2
          + 2*m1  *m2*n1  *n2  - 17*m1  *m2*n1  *n2 *n3

                 10      14   4   4        10      14   2   6
          + 36*m1  *m2*n1  *n2 *n3  - 20*m1  *m2*n1  *n2 *n3

                10      12   10       10      12   8   2
          + 2*m1  *m2*n1  *n2   + 5*m1  *m2*n1  *n2 *n3

                 10      12   6   4        10      12   4   6
          - 52*m1  *m2*n1  *n2 *n3  + 68*m1  *m2*n1  *n2 *n3

                10      10   12        10      10   10   2
          - 2*m1  *m2*n1  *n2   + 17*m1  *m2*n1  *n2  *n3

                 10      10   8   4        10      10   6   6
          - 36*m1  *m2*n1  *n2 *n3  + 20*m1  *m2*n1  *n2 *n3

                10      8   14       10      8   12   2
          - 2*m1  *m2*n1 *n2   - 5*m1  *m2*n1 *n2  *n3

                 10      8   10   4        10      8   8   6
          + 52*m1  *m2*n1 *n2  *n3  - 68*m1  *m2*n1 *n2 *n3

                9   2   15   7        9   2   15   5   2
          - 9*m1 *m2 *n1  *n2  + 44*m1 *m2 *n1  *n2 *n3

                 9   2   15   3   4        9   2   15      6
          - 56*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2*n3

                9   2   13   9        9   2   13   7   2
          + 2*m1 *m2 *n1  *n2  - 82*m1 *m2 *n1  *n2 *n3

                  9   2   13   5   4         9   2   13   3   6
          + 248*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

                 9   2   11   11        9   2   11   9   2
          + 20*m1 *m2 *n1  *n2   - 60*m1 *m2 *n1  *n2 *n3

                 9   2   11   7   4         9   2   11   5   6
          - 80*m1 *m2 *n1  *n2 *n3  + 240*m1 *m2 *n1  *n2 *n3

                9   2   9   13        9   2   9   11   2
          - 2*m1 *m2 *n1 *n2   + 82*m1 *m2 *n1 *n2  *n3

                  9   2   9   9   4         9   2   9   7   6
          - 248*m1 *m2 *n1 *n2 *n3  + 168*m1 *m2 *n1 *n2 *n3

                 9   2   7   15        9   2   7   13   2
          - 11*m1 *m2 *n1 *n2   + 16*m1 *m2 *n1 *n2  *n3

                  9   2   7   11   4         9   2   7   9   6
          + 136*m1 *m2 *n1 *n2  *n3  - 256*m1 *m2 *n1 *n2 *n3

                 8   3   16   6        8   3   16   4   2
          + 16*m1 *m2 *n1  *n2  - 50*m1 *m2 *n1  *n2 *n3

                 8   3   16   2   4       8   3   16   6        8   3   14   8
          + 36*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  - 33*m1 *m2 *n1  *n2

                  8   3   14   6   2         8   3   14   4   4
          + 246*m1 *m2 *n1  *n2 *n3  - 396*m1 *m2 *n1  *n2 *n3

                  8   3   14   2   6        8   3   12   10
          + 132*m1 *m2 *n1  *n2 *n3  - 40*m1 *m2 *n1  *n2

                 8   3   12   8   2         8   3   12   6   4
          - 73*m1 *m2 *n1  *n2 *n3  + 684*m1 *m2 *n1  *n2 *n3

                  8   3   12   4   6        8   3   10   12
          - 620*m1 *m2 *n1  *n2 *n3  + 58*m1 *m2 *n1  *n2

                  8   3   10   10   2         8   3   10   8   4
          - 335*m1 *m2 *n1  *n2  *n3  + 228*m1 *m2 *n1  *n2 *n3

                  8   3   10   6   6        8   3   8   14
          + 428*m1 *m2 *n1  *n2 *n3  + 24*m1 *m2 *n1 *n2

                  8   3   8   12   2         8   3   8   10   4
          + 123*m1 *m2 *n1 *n2  *n3  - 720*m1 *m2 *n1 *n2  *n3

                  8   3   8   8   6        8   3   6   16
          + 624*m1 *m2 *n1 *n2 *n3  - 25*m1 *m2 *n1 *n2

                 8   3   6   14   2         8   3   6   12   4
          + 89*m1 *m2 *n1 *n2  *n3  + 168*m1 *m2 *n1 *n2  *n3

                  8   3   6   10   6        7   4   17   5
          - 560*m1 *m2 *n1 *n2  *n3  - 14*m1 *m2 *n1  *n2

                 7   4   17   3   2       7   4   17      4
          + 26*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3

                 7   4   15   7         7   4   15   5   2
          + 72*m1 *m2 *n1  *n2  - 296*m1 *m2 *n1  *n2 *n3

                  7   4   15   3   4        7   4   15      6
          + 256*m1 *m2 *n1  *n2 *n3  - 32*m1 *m2 *n1  *n2*n3

                 7   4   13   9         7   4   13   7   2
          - 10*m1 *m2 *n1  *n2  + 514*m1 *m2 *n1  *n2 *n3

                   7   4   13   5   4         7   4   13   3   6
          - 1192*m1 *m2 *n1  *n2 *n3  + 480*m1 *m2 *n1  *n2 *n3

                  7   4   11   11         7   4   11   9   2
          - 152*m1 *m2 *n1  *n2   + 328*m1 *m2 *n1  *n2 *n3

                  7   4   11   7   4          7   4   11   5   6
          + 864*m1 *m2 *n1  *n2 *n3  - 1312*m1 *m2 *n1  *n2 *n3

                 7   4   9   13         7   4   9   11   2
          + 54*m1 *m2 *n1 *n2   - 710*m1 *m2 *n1 *n2  *n3

                   7   4   9   9   4         7   4   9   7   6
          + 1144*m1 *m2 *n1 *n2 *n3  + 304*m1 *m2 *n1 *n2 *n3

                 7   4   7   15        7   4   7   13   2
          + 80*m1 *m2 *n1 *n2   - 32*m1 *m2 *n1 *n2  *n3

                   7   4   7   11   4          7   4   7   9   6
          - 1120*m1 *m2 *n1 *n2  *n3  + 1344*m1 *m2 *n1 *n2 *n3

                 7   4   5   17         7   4   5   15   2
          - 30*m1 *m2 *n1 *n2   + 170*m1 *m2 *n1 *n2  *n3

                 7   4   5   13   4         7   4   5   11   6
          + 56*m1 *m2 *n1 *n2  *n3  - 784*m1 *m2 *n1 *n2  *n3

                6   5   18   4       6   5   18   2   2        6   5   16   6
          + 6*m1 *m2 *n1  *n2  - 5*m1 *m2 *n1  *n2 *n3  - 68*m1 *m2 *n1  *n2

                  6   5   16   4   2        6   5   16   2   4
          + 157*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

                  6   5   14   8         6   5   14   6   2
          + 110*m1 *m2 *n1  *n2  - 717*m1 *m2 *n1  *n2 *n3

                  6   5   14   4   4         6   5   14   2   6
          + 784*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

                  6   5   12   10         6   5   12   8   2
          + 128*m1 *m2 *n1  *n2   + 381*m1 *m2 *n1  *n2 *n3

                   6   5   12   6   4          6   5   12   4   6
          - 1960*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

                  6   5   10   12          6   5   10   10   2
          - 226*m1 *m2 *n1  *n2   + 1047*m1 *m2 *n1  *n2  *n3

                  6   5   10   8   4          6   5   10   6   6
          + 168*m1 *m2 *n1  *n2 *n3  - 1736*m1 *m2 *n1  *n2 *n3

                 6   5   8   14         6   5   8   12   2
          - 40*m1 *m2 *n1 *n2   - 711*m1 *m2 *n1 *n2  *n3

                   6   5   8   10   4         6   5   8   8   6
          + 2128*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2 *n3

                  6   5   6   16         6   5   6   14   2
          + 110*m1 *m2 *n1 *n2   - 325*m1 *m2 *n1 *n2  *n3

                  6   5   6   12   4          6   5   6   10   6
          - 952*m1 *m2 *n1 *n2  *n3  + 1848*m1 *m2 *n1 *n2  *n3

                 6   5   4   18         6   5   4   16   2
          - 20*m1 *m2 *n1 *n2   + 173*m1 *m2 *n1 *n2  *n3

                  6   5   4   14   4         6   5   4   12   6
          - 112*m1 *m2 *n1 *n2  *n3  - 728*m1 *m2 *n1 *n2  *n3

              5   6   19   3        5   6   17   5        5   6   17   3   2
          - m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2  - 30*m1 *m2 *n1  *n2 *n3

                  5   6   15   7         5   6   15   5   2
          - 128*m1 *m2 *n1  *n2  + 396*m1 *m2 *n1  *n2 *n3

                  5   6   15   3   4        5   6   13   9
          - 168*m1 *m2 *n1  *n2 *n3  + 30*m1 *m2 *n1  *n2

                  5   6   13   7   2          5   6   13   5   4
          - 886*m1 *m2 *n1  *n2 *n3  + 1344*m1 *m2 *n1  *n2 *n3

                  5   6   13   3   6         5   6   11   11
          - 224*m1 *m2 *n1  *n2 *n3  + 264*m1 *m2 *n1  *n2

                  5   6   11   9   2          5   6   11   7   4
          - 276*m1 *m2 *n1  *n2 *n3  - 1848*m1 *m2 *n1  *n2 *n3

                   5   6   11   5   6         5   6   9   13
          + 1344*m1 *m2 *n1  *n2 *n3  - 138*m1 *m2 *n1 *n2

                   5   6   9   11   2          5   6   9   9   4
          + 1354*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2 *n3

                   5   6   9   7   6         5   6   7   15
          - 1456*m1 *m2 *n1 *n2 *n3  - 128*m1 *m2 *n1 *n2

                  5   6   7   13   2          5   6   7   11   4
          - 220*m1 *m2 *n1 *n2  *n3  + 2184*m1 *m2 *n1 *n2  *n3

                  5   6   7   9   6        5   6   5   17
          - 896*m1 *m2 *n1 *n2 *n3  + 78*m1 *m2 *n1 *n2

                  5   6   5   15   2         5   6   5   13   4
          - 438*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2  *n3

                   5   6   5   11   6       5   6   3   19
          + 1680*m1 *m2 *n1 *n2  *n3  - 7*m1 *m2 *n1 *n2

                  5   6   3   17   2         5   6   3   15   4
          + 100*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

                  5   6   3   13   6       4   7   18   4        4   7   16   6
          - 448*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 60*m1 *m2 *n1  *n2

                 4   7   16   4   2         4   7   14   8
          - 75*m1 *m2 *n1  *n2 *n3  - 110*m1 *m2 *n1  *n2

                  4   7   14   6   2         4   7   14   4   4
          + 535*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

                  4   7   12   10         4   7   12   8   2
          - 100*m1 *m2 *n1  *n2   - 535*m1 *m2 *n1  *n2 *n3

                   4   7   12   6   4         4   7   12   4   6
          + 1400*m1 *m2 *n1  *n2 *n3  - 280*m1 *m2 *n1  *n2 *n3

                  4   7   10   12         4   7   10   10   2
          + 226*m1 *m2 *n1  *n2   - 781*m1 *m2 *n1  *n2  *n3

                  4   7   10   8   4          4   7   10   6   6
          - 896*m1 *m2 *n1  *n2 *n3  + 1176*m1 *m2 *n1  *n2 *n3

                 4   7   8   14         4   7   8   12   2
          + 12*m1 *m2 *n1 *n2   + 893*m1 *m2 *n1 *n2  *n3

                   4   7   8   10   4         4   7   8   8   6
          - 1512*m1 *m2 *n1 *n2  *n3  - 728*m1 *m2 *n1 *n2 *n3

                  4   7   6   16         4   7   6   14   2
          - 110*m1 *m2 *n1 *n2   + 215*m1 *m2 *n1 *n2  *n3

                   4   7   6   12   4          4   7   6   10   6
          + 1280*m1 *m2 *n1 *n2  *n3  - 1000*m1 *m2 *n1 *n2  *n3

                 4   7   4   18         4   7   4   16   2
          + 28*m1 *m2 *n1 *n2   - 283*m1 *m2 *n1 *n2  *n3

                  4   7   4   14   4          4   7   4   12   6
          + 112*m1 *m2 *n1 *n2  *n3  + 1008*m1 *m2 *n1 *n2  *n3

              4   7   2   20        4   7   2   18   2
          - m1 *m2 *n1 *n2   + 31*m1 *m2 *n1 *n2  *n3

                  4   7   2   16   4         4   7   2   14   6
          - 104*m1 *m2 *n1 *n2  *n3  - 176*m1 *m2 *n1 *n2  *n3

                 3   8   17   5        3   8   15   7         3   8   15   5   2
          - 10*m1 *m2 *n1  *n2  + 60*m1 *m2 *n1  *n2  - 100*m1 *m2 *n1  *n2 *n3

                 3   8   13   9         3   8   13   7   2
          - 30*m1 *m2 *n1  *n2  + 410*m1 *m2 *n1  *n2 *n3

                  3   8   13   5   4         3   8   11   11
          - 280*m1 *m2 *n1  *n2 *n3  - 124*m1 *m2 *n1  *n2

                 3   8   11   9   2         3   8   11   7   4
          - 60*m1 *m2 *n1  *n2 *n3  + 896*m1 *m2 *n1  *n2 *n3

                  3   8   11   5   6        3   8   9   13
          - 224*m1 *m2 *n1  *n2 *n3  + 82*m1 *m2 *n1 *n2

                  3   8   9   11   2        3   8   9   9   4
          - 654*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2 *n3

                  3   8   9   7   6        3   8   7   15
          + 672*m1 *m2 *n1 *n2 *n3  + 60*m1 *m2 *n1 *n2

                  3   8   7   13   2          3   8   7   11   4
          + 252*m1 *m2 *n1 *n2  *n3  - 1056*m1 *m2 *n1 *n2  *n3

                  3   8   7   9   6        3   8   5   17
          - 160*m1 *m2 *n1 *n2 *n3  - 42*m1 *m2 *n1 *n2

                  3   8   5   15   2         3   8   5   13   4
          + 240*m1 *m2 *n1 *n2  *n3  + 368*m1 *m2 *n1 *n2  *n3

                  3   8   5   11   6       3   8   3   19
          - 632*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1 *n2

                 3   8   3   17   2         3   8   3   15   4
          - 92*m1 *m2 *n1 *n2  *n3  + 160*m1 *m2 *n1 *n2  *n3

                  3   8   3   13   6       3   8      19   2
          + 384*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1*n2  *n3

                 3   8      17   4        3   8      15   6
          - 32*m1 *m2 *n1*n2  *n3  - 40*m1 *m2 *n1*n2  *n3

                 2   9   16   6        2   9   14   8        2   9   14   6   2
          - 10*m1 *m2 *n1  *n2  + 30*m1 *m2 *n1  *n2  - 75*m1 *m2 *n1  *n2 *n3

                 2   9   12   10         2   9   12   8   2
          + 16*m1 *m2 *n1  *n2   + 171*m1 *m2 *n1  *n2 *n3

                  2   9   12   6   4        2   9   10   12
          - 168*m1 *m2 *n1  *n2 *n3  - 58*m1 *m2 *n1  *n2

                  2   9   10   10   2         2   9   10   8   4
          + 109*m1 *m2 *n1  *n2  *n3  + 336*m1 *m2 *n1  *n2 *n3

                  2   9   10   6   6         2   9   8   12   2
          - 112*m1 *m2 *n1  *n2 *n3  - 261*m1 *m2 *n1 *n2  *n3

                  2   9   8   10   4         2   9   8   8   6
          + 168*m1 *m2 *n1 *n2  *n3  + 240*m1 *m2 *n1 *n2 *n3

                 2   9   6   16        2   9   6   14   2
          + 28*m1 *m2 *n1 *n2   - 22*m1 *m2 *n1 *n2  *n3

                  2   9   6   12   4        2   9   6   10   6
          - 396*m1 *m2 *n1 *n2  *n3  + 28*m1 *m2 *n1 *n2  *n3

                2   9   4   18        2   9   4   16   2
          - 6*m1 *m2 *n1 *n2   + 90*m1 *m2 *n1 *n2  *n3

                2   9   4   14   4         2   9   4   12   6
          + 4*m1 *m2 *n1 *n2  *n3  - 236*m1 *m2 *n1 *n2  *n3

                 2   9   2   18   2        2   9   2   16   4
          - 12*m1 *m2 *n1 *n2  *n3  + 60*m1 *m2 *n1 *n2  *n3

                 2   9   2   14   6       2   9   18   4       2   9   16   6
          + 84*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n2  *n3  - 4*m1 *m2 *n2  *n3

                   10   15   7          10   13   9           10   13   7   2
          - 5*m1*m2  *n1  *n2  + 6*m1*m2  *n1  *n2  - 30*m1*m2  *n1  *n2 *n3

                    10   11   11           10   11   9   2
          + 12*m1*m2  *n1  *n2   + 32*m1*m2  *n1  *n2 *n3

                    10   11   7   4           10   9   13
          - 56*m1*m2  *n1  *n2 *n3  - 10*m1*m2  *n1 *n2

                    10   9   11   2           10   9   9   4
          + 58*m1*m2  *n1 *n2  *n3  + 64*m1*m2  *n1 *n2 *n3

                    10   9   7   6          10   7   15
          - 32*m1*m2  *n1 *n2 *n3  - 7*m1*m2  *n1 *n2

                    10   7   13   2           10   7   11   4
          - 44*m1*m2  *n1 *n2  *n3  + 80*m1*m2  *n1 *n2  *n3

                    10   7   9   6          10   5   17
          + 48*m1*m2  *n1 *n2 *n3  + 4*m1*m2  *n1 *n2

                    10   5   15   2           10   5   13   4
          - 28*m1*m2  *n1 *n2  *n3  - 72*m1*m2  *n1 *n2  *n3

                    10   5   11   6           10   3   17   2
          + 24*m1*m2  *n1 *n2  *n3  + 12*m1*m2  *n1 *n2  *n3

                    10   3   15   4           10   3   13   6
          - 24*m1*m2  *n1 *n2  *n3  - 48*m1*m2  *n1 *n2  *n3

                   10      17   4          10      15   6     11   14   8
          + 8*m1*m2  *n1*n2  *n3  + 8*m1*m2  *n1*n2  *n3  - m2  *n1  *n2

                11   12   8   2       11   10   12     11   10   10   2
          - 5*m2  *n1  *n2 *n3  + 2*m2  *n1  *n2   + m2  *n1  *n2  *n3

                11   10   8   4       11   8   12   2       11   8   10   4
          - 8*m2  *n1  *n2 *n3  + 9*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3

                11   8   8   6     11   6   16     11   6   14   2
          - 4*m2  *n1 *n2 *n3  - m2  *n1 *n2   - m2  *n1 *n2  *n3

                 11   6   12   4       11   6   10   6       11   4   16   2
          + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3

                11   4   14   4       11   4   12   6       11   2   16   4
          - 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  - 4*m2  *n1 *n2  *n3

                11   2   14   6      4           12   12   6   2
          - 4*m2  *n1 *n2  *n3 ) + v3 *( - a33*m1  *n1  *n2 *n3

                 12   12   4   4           12   12   2   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               12   8   10   2           12   8   8   4           12   8   6   6
       + a33*m1  *n1 *n2  *n3  - 4*a33*m1  *n1 *n2 *n3  + 4*a33*m1  *n1 *n2 *n3

               11      13   7           11      13   5   2
       - a33*m1  *m2*n1  *n2  + 8*a33*m1  *m2*n1  *n2 *n3

                  11      13   3   4           11      13      6
       - 16*a33*m1  *m2*n1  *n2 *n3  + 8*a33*m1  *m2*n1  *n2*n3

               11      11   9           11      11   7   2
       - a33*m1  *m2*n1  *n2  - 2*a33*m1  *m2*n1  *n2 *n3

                  11      11   5   4            11      11   3   6
       + 24*a33*m1  *m2*n1  *n2 *n3  - 32*a33*m1  *m2*n1  *n2 *n3

               11      9   11           11      9   9   2
       + a33*m1  *m2*n1 *n2   - 8*a33*m1  *m2*n1 *n2 *n3

                  11      9   7   4           11      9   5   6
       + 16*a33*m1  *m2*n1 *n2 *n3  - 8*a33*m1  *m2*n1 *n2 *n3

               11      7   13           11      7   11   2
       + a33*m1  *m2*n1 *n2   + 2*a33*m1  *m2*n1 *n2  *n3

                  11      7   9   4            11      7   7   6
       - 24*a33*m1  *m2*n1 *n2 *n3  + 32*a33*m1  *m2*n1 *n2 *n3

                 10   2   14   6            10   2   14   4   2
       + 4*a33*m1  *m2 *n1  *n2  - 18*a33*m1  *m2 *n1  *n2 *n3

                  10   2   14   2   4           10   2   14   6
       + 20*a33*m1  *m2 *n1  *n2 *n3  - 4*a33*m1  *m2 *n1  *n3

               10   2   12   8            10   2   12   6   2
       - a33*m1  *m2 *n1  *n2  + 35*a33*m1  *m2 *n1  *n2 *n3

                   10   2   12   4   4            10   2   12   2   6
       - 100*a33*m1  *m2 *n1  *n2 *n3  + 60*a33*m1  *m2 *n1  *n2 *n3

                 10   2   10   10            10   2   10   8   2
       - 9*a33*m1  *m2 *n1  *n2   + 27*a33*m1  *m2 *n1  *n2 *n3

                  10   2   10   6   4             10   2   10   4   6
       + 36*a33*m1  *m2 *n1  *n2 *n3  - 108*a33*m1  *m2 *n1  *n2 *n3

               10   2   8   12            10   2   8   10   2
       + a33*m1  *m2 *n1 *n2   - 35*a33*m1  *m2 *n1 *n2  *n3

                   10   2   8   8   4            10   2   8   6   6
       + 100*a33*m1  *m2 *n1 *n2 *n3  - 60*a33*m1  *m2 *n1 *n2 *n3

                 10   2   6   14           10   2   6   12   2
       + 5*a33*m1  *m2 *n1 *n2   - 9*a33*m1  *m2 *n1 *n2  *n3

                  10   2   6   10   4             10   2   6   8   6
       - 56*a33*m1  *m2 *n1 *n2  *n3  + 112*a33*m1  *m2 *n1 *n2 *n3

                 9   3   15   5            9   3   15   3   2
       - 6*a33*m1 *m2 *n1  *n2  + 16*a33*m1 *m2 *n1  *n2 *n3

                 9   3   15      4            9   3   13   7
       - 8*a33*m1 *m2 *n1  *n2*n3  + 13*a33*m1 *m2 *n1  *n2

                  9   3   13   5   2             9   3   13   3   4
       - 88*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                  9   3   13      6            9   3   11   9
       - 24*a33*m1 *m2 *n1  *n2*n3  + 15*a33*m1 *m2 *n1  *n2

                  9   3   11   7   2             9   3   11   5   4
       + 30*a33*m1 *m2 *n1  *n2 *n3  - 248*a33*m1 *m2 *n1  *n2 *n3

                   9   3   11   3   6            9   3   9   11
       + 192*a33*m1 *m2 *n1  *n2 *n3  - 23*a33*m1 *m2 *n1 *n2

                   9   3   9   9   2            9   3   9   7   4
       + 128*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

                   9   3   9   5   6           9   3   7   13
       - 200*a33*m1 *m2 *n1 *n2 *n3  - 9*a33*m1 *m2 *n1 *n2

                  9   3   7   11   2             9   3   7   9   4
       - 46*a33*m1 *m2 *n1 *n2  *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                   9   3   7   7   6            9   3   5   15
       - 192*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  9   3   5   13   2            9   3   5   11   4
       - 40*a33*m1 *m2 *n1 *n2  *n3  - 56*a33*m1 *m2 *n1 *n2  *n3

                   9   3   5   9   6           8   4   16   4
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1  *n2

                 8   4   16   2   2            8   4   14   6
       - 5*a33*m1 *m2 *n1  *n2 *n3  - 22*a33*m1 *m2 *n1  *n2

                  8   4   14   4   2            8   4   14   2   4
       + 74*a33*m1 *m2 *n1  *n2 *n3  - 36*a33*m1 *m2 *n1  *n2 *n3

                 8   4   14   6           8   4   12   8
       - 4*a33*m1 *m2 *n1  *n3  + 5*a33*m1 *m2 *n1  *n2

                   8   4   12   6   2             8   4   12   4   4
       - 157*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                  8   4   12   2   6            8   4   10   10
       - 48*a33*m1 *m2 *n1  *n2 *n3  + 47*a33*m1 *m2 *n1  *n2

                  8   4   10   8   2             8   4   10   6   4
       - 85*a33*m1 *m2 *n1  *n2 *n3  - 300*a33*m1 *m2 *n1  *n2 *n3

                   8   4   10   4   6            8   4   8   12
       + 340*a33*m1 *m2 *n1  *n2 *n3  - 19*a33*m1 *m2 *n1 *n2

                   8   4   8   10   2             8   4   8   8   4
       + 227*a33*m1 *m2 *n1 *n2  *n3  - 288*a33*m1 *m2 *n1 *n2 *n3

                   8   4   8   6   6            8   4   6   14
       - 232*a33*m1 *m2 *n1 *n2 *n3  - 25*a33*m1 *m2 *n1 *n2

                  8   4   6   12   2             8   4   6   10   4
       + 11*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                   8   4   6   8   6            8   4   4   16
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  8   4   4   14   2             8   4   4   10   6
       - 65*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

               7   5   17   3            7   5   15   5
       - a33*m1 *m2 *n1  *n2  + 13*a33*m1 *m2 *n1  *n2

                  7   5   15   3   2           7   5   15      4
       - 14*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n2*n3

                  7   5   13   7             7   5   13   5   2
       - 25*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                  7   5   13   3   4            7   5   13      6
       - 32*a33*m1 *m2 *n1  *n2 *n3  - 32*a33*m1 *m2 *n1  *n2*n3

                  7   5   11   9             7   5   11   7   2
       - 23*a33*m1 *m2 *n1  *n2  - 118*a33*m1 *m2 *n1  *n2 *n3

                   7   5   11   5   4            7   5   9   11
       + 344*a33*m1 *m2 *n1  *n2 *n3  + 51*a33*m1 *m2 *n1 *n2

                   7   5   9   9   2             7   5   9   7   4
       - 200*a33*m1 *m2 *n1 *n2 *n3  - 192*a33*m1 *m2 *n1 *n2 *n3

                   7   5   9   5   6           7   5   7   13
       + 368*a33*m1 *m2 *n1 *n2 *n3  + 5*a33*m1 *m2 *n1 *n2

                   7   5   7   11   2             7   5   7   9   4
       + 186*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2 *n3

                   7   5   7   7   6            7   5   5   15
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 25*a33*m1 *m2 *n1 *n2

                  7   5   5   13   2             7   5   5   11   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   7   5   5   9   6           7   5   3   17
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 5*a33*m1 *m2 *n1 *n2

                  7   5   3   15   2            7   5   3   13   4
       - 54*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   5   3   11   6         6   6   16   4
       + 224*a33*m1 *m2 *n1 *n2  *n3  - a33*m1 *m2 *n1  *n2

                 6   6   16   2   2           6   6   14   6
       - 5*a33*m1 *m2 *n1  *n2 *n3  + 9*a33*m1 *m2 *n1  *n2

                  6   6   14   4   2            6   6   14   2   4
       + 17*a33*m1 *m2 *n1  *n2 *n3  - 56*a33*m1 *m2 *n1  *n2 *n3

                 6   6   12   8            6   6   12   6   2
       - 9*a33*m1 *m2 *n1  *n2  + 67*a33*m1 *m2 *n1  *n2 *n3

                   6   6   12   4   4             6   6   12   2   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   6   10   10            6   6   10   8   2
       - 19*a33*m1 *m2 *n1  *n2   - 67*a33*m1 *m2 *n1  *n2 *n3

                   6   6   10   6   4             6   6   10   4   6
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  6   6   8   12             6   6   8   10   2
       + 19*a33*m1 *m2 *n1 *n2   - 129*a33*m1 *m2 *n1 *n2  *n3

                   6   6   8   8   4             6   6   8   6   6
       - 168*a33*m1 *m2 *n1 *n2 *n3  + 280*a33*m1 *m2 *n1 *n2 *n3

                 6   6   6   14            6   6   6   12   2
       + 9*a33*m1 *m2 *n1 *n2   + 73*a33*m1 *m2 *n1 *n2  *n3

                   6   6   6   10   4             6   6   6   8   6
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2 *n3

                 6   6   4   16            6   6   4   14   2
       - 9*a33*m1 *m2 *n1 *n2   + 67*a33*m1 *m2 *n1 *n2  *n3

                  6   6   4   12   4             6   6   4   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 168*a33*m1 *m2 *n1 *n2  *n3

               6   6   2   18            6   6   2   16   2
       + a33*m1 *m2 *n1 *n2   - 23*a33*m1 *m2 *n1 *n2  *n3

                  6   6   2   14   4             6   6   2   12   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

               5   7   17   3           5   7   15   5
       - a33*m1 *m2 *n1  *n2  + 9*a33*m1 *m2 *n1  *n2

                  5   7   15   3   2           5   7   13   7
       - 30*a33*m1 *m2 *n1  *n2 *n3  - 9*a33*m1 *m2 *n1  *n2

                   5   7   13   5   2             5   7   13   3   4
       + 116*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  5   7   11   9            5   7   11   7   2
       - 19*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2 *n3

                   5   7   11   5   4             5   7   11   3   6
       + 336*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                  5   7   9   11             5   7   9   9   2
       + 19*a33*m1 *m2 *n1 *n2   - 164*a33*m1 *m2 *n1 *n2 *n3

                   5   7   9   7   4             5   7   9   5   6
       + 168*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                 5   7   7   13            5   7   7   11   2
       + 9*a33*m1 *m2 *n1 *n2   + 10*a33*m1 *m2 *n1 *n2  *n3

                   5   7   7   9   4             5   7   7   7   6
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                 5   7   5   15            5   7   5   13   2
       - 9*a33*m1 *m2 *n1 *n2   + 52*a33*m1 *m2 *n1 *n2  *n3

                  5   7   5   11   4             5   7   5   9   6
       - 24*a33*m1 *m2 *n1 *n2  *n3  - 368*a33*m1 *m2 *n1 *n2 *n3

               5   7   3   17            5   7   3   15   2
       + a33*m1 *m2 *n1 *n2   + 10*a33*m1 *m2 *n1 *n2  *n3

                 5   7      17   2            5   7      15   4
       - 4*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  5   7      13   6           4   8   16   4
       + 32*a33*m1 *m2 *n1*n2  *n3  - 5*a33*m1 *m2 *n1  *n2

                  4   8   14   6            4   8   14   4   2
       + 25*a33*m1 *m2 *n1  *n2  - 75*a33*m1 *m2 *n1  *n2 *n3

                 4   8   12   8             4   8   12   6   2
       - 5*a33*m1 *m2 *n1  *n2  + 185*a33*m1 *m2 *n1  *n2 *n3

                   4   8   12   4   4            4   8   10   10
       - 280*a33*m1 *m2 *n1  *n2 *n3  - 51*a33*m1 *m2 *n1  *n2

                  4   8   10   8   2             4   8   10   6   4
       + 81*a33*m1 *m2 *n1  *n2 *n3  + 392*a33*m1 *m2 *n1  *n2 *n3

                   4   8   10   4   6            4   8   8   12
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 23*a33*m1 *m2 *n1 *n2

                   4   8   8   10   2             4   8   8   8   4
       - 263*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2 *n3

                   4   8   8   6   6            4   8   6   14
       + 336*a33*m1 *m2 *n1 *n2 *n3  + 25*a33*m1 *m2 *n1 *n2

                 4   8   6   12   2             4   8   6   10   4
       + 5*a33*m1 *m2 *n1 *n2  *n3  - 408*a33*m1 *m2 *n1 *n2  *n3

                   4   8   6   8   6            4   8   4   16
       + 232*a33*m1 *m2 *n1 *n2 *n3  - 13*a33*m1 *m2 *n1 *n2

                  4   8   4   14   2           4   8   4   12   4
       + 78*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1 *n2  *n3

                   4   8   4   10   6         4   8   2   18
       - 340*a33*m1 *m2 *n1 *n2  *n3  + a33*m1 *m2 *n1 *n2

                  4   8   2   16   2            4   8   2   14   4
       - 11*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2  *n3

                  4   8   2   12   6           4   8   16   4
       + 48*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n2  *n3

                 4   8   14   6            3   9   15   5
       + 4*a33*m1 *m2 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                  3   9   13   7             3   9   13   5   2
       + 25*a33*m1 *m2 *n1  *n2  - 100*a33*m1 *m2 *n1  *n2 *n3

                  3   9   11   9             3   9   11   7   2
       + 19*a33*m1 *m2 *n1  *n2  + 130*a33*m1 *m2 *n1  *n2 *n3

                   3   9   11   5   4            3   9   9   11
       - 280*a33*m1 *m2 *n1  *n2 *n3  - 47*a33*m1 *m2 *n1 *n2

                   3   9   9   9   2             3   9   9   7   4
       + 164*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   3   9   9   5   6           3   9   7   13
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 5*a33*m1 *m2 *n1 *n2

                   3   9   7   11   2             3   9   7   9   4
       - 182*a33*m1 *m2 *n1 *n2  *n3  + 328*a33*m1 *m2 *n1 *n2 *n3

                   3   9   7   7   6            3   9   5   15
       + 192*a33*m1 *m2 *n1 *n2 *n3  + 22*a33*m1 *m2 *n1 *n2

                  3   9   5   13   2             3   9   5   11   4
       - 60*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2  *n3

                   3   9   5   9   6           3   9   3   17
       + 200*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

                  3   9   3   15   2            3   9   3   13   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2  *n3

                   3   9   3   11   6           3   9      17   2
       - 192*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2  *n3

                  3   9      15   4            3   9      13   6
       + 16*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  2   10   14   6           2   10   12   8
       - 10*a33*m1 *m2  *n1  *n2  + 9*a33*m1 *m2  *n1  *n2

                  2   10   12   6   2            2   10   10   10
       - 75*a33*m1 *m2  *n1  *n2 *n3  + 23*a33*m1 *m2  *n1  *n2

                  2   10   10   8   2             2   10   10   6   4
       + 31*a33*m1 *m2  *n1  *n2 *n3  - 168*a33*m1 *m2  *n1  *n2 *n3

                  2   10   8   12             2   10   8   10   2
       - 15*a33*m1 *m2  *n1 *n2   + 125*a33*m1 *m2  *n1 *n2  *n3

                  2   10   8   8   4             2   10   8   6   6
       + 48*a33*m1 *m2  *n1 *n2 *n3  - 112*a33*m1 *m2  *n1 *n2 *n3

                  2   10   6   14            2   10   6   12   2
       - 13*a33*m1 *m2  *n1 *n2   - 43*a33*m1 *m2  *n1 *n2  *n3

                   2   10   6   10   4            2   10   6   8   6
       + 204*a33*m1 *m2  *n1 *n2  *n3  + 60*a33*m1 *m2  *n1 *n2 *n3

                 2   10   4   16            2   10   4   14   2
       + 6*a33*m1 *m2  *n1 *n2   - 50*a33*m1 *m2  *n1 *n2  *n3

                  2   10   4   12   4             2   10   4   10   6
       - 52*a33*m1 *m2  *n1 *n2  *n3  + 108*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   16   2            2   10   2   14   4
       + 12*a33*m1 *m2  *n1 *n2  *n3  - 36*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   12   6           2   10   16   4
       - 60*a33*m1 *m2  *n1 *n2  *n3  + 4*a33*m1 *m2  *n2  *n3

                 2   10   14   6              11   13   7            11   11   9
       + 4*a33*m1 *m2  *n2  *n3  - 5*a33*m1*m2  *n1  *n2  - a33*m1*m2  *n1  *n2

                     11   11   7   2              11   9   11
       - 30*a33*m1*m2  *n1  *n2 *n3  + 9*a33*m1*m2  *n1 *n2

                    11   9   9   2               11   9   7   4
       - 8*a33*m1*m2  *n1 *n2 *n3  - 56*a33*m1*m2  *n1 *n2 *n3

                  11   7   13               11   7   11   2
       + a33*m1*m2  *n1 *n2   + 42*a33*m1*m2  *n1 *n2  *n3

                    11   7   9   4               11   7   7   6
       - 8*a33*m1*m2  *n1 *n2 *n3  - 32*a33*m1*m2  *n1 *n2 *n3

                    11   5   15              11   5   13   2
       - 4*a33*m1*m2  *n1 *n2   + 8*a33*m1*m2  *n1 *n2  *n3

                     11   5   11   4              11   5   9   6
       + 64*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2 *n3

                     11   3   15   2              11   3   13   4
       - 12*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2  *n3

                     11   3   11   6              11      15   4
       + 32*a33*m1*m2  *n1 *n2  *n3  - 8*a33*m1*m2  *n1*n2  *n3

                    11      13   6         12   12   8         12   10   10
       - 8*a33*m1*m2  *n1*n2  *n3  - a33*m2  *n1  *n2  - a33*m2  *n1  *n2

                 12   10   8   2         12   8   12           12   8   10   2
       - 5*a33*m2  *n1  *n2 *n3  + a33*m2  *n1 *n2   - 4*a33*m2  *n1 *n2  *n3

                 12   8   8   4         12   6   14           12   6   12   2
       - 8*a33*m2  *n1 *n2 *n3  + a33*m2  *n1 *n2   + 5*a33*m2  *n1 *n2  *n3

                 12   6   10   4           12   6   8   6
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2 *n3

                 12   4   14   2           12   4   12   4
       + 4*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 12   2   14   4           12   2   12   6      3
       + 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3 ) + v3 *(

          11   13   6   3       11   13   4   5       11   13   2   7
      2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3  + 8*m1  *n1  *n2 *n3

             11   9   10   3       11   9   8   5       11   9   6   7
       - 2*m1  *n1 *n2  *n3  + 8*m1  *n1 *n2 *n3  - 8*m1  *n1 *n2 *n3

             10      14   7           10      14   5   3
       + 2*m1  *m2*n1  *n2 *n3 - 16*m1  *m2*n1  *n2 *n3

              10      14   3   5        10      14      7
       + 32*m1  *m2*n1  *n2 *n3  - 16*m1  *m2*n1  *n2*n3

             10      12   9          10      12   7   3
       + 2*m1  *m2*n1  *n2 *n3 + 6*m1  *m2*n1  *n2 *n3

              10      12   5   5        10      12   3   7
       - 56*m1  *m2*n1  *n2 *n3  + 72*m1  *m2*n1  *n2 *n3

             10      10   11           10      10   9   3
       - 2*m1  *m2*n1  *n2  *n3 + 16*m1  *m2*n1  *n2 *n3

              10      10   7   5        10      10   5   7
       - 32*m1  *m2*n1  *n2 *n3  + 16*m1  *m2*n1  *n2 *n3

             10      8   13          10      8   11   3        10      8   9   5
       - 2*m1  *m2*n1 *n2  *n3 - 6*m1  *m2*n1 *n2  *n3  + 56*m1  *m2*n1 *n2 *n3

              10      8   7   7       9   2   15   6
       - 72*m1  *m2*n1 *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3

              9   2   15   4   3        9   2   15   2   5       9   2   15   7
       + 36*m1 *m2 *n1  *n2 *n3  - 40*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n3

             9   2   13   8           9   2   13   6   3
       + 4*m1 *m2 *n1  *n2 *n3 - 88*m1 *m2 *n1  *n2 *n3

               9   2   13   4   5         9   2   13   2   7
       + 240*m1 *m2 *n1  *n2 *n3  - 144*m1 *m2 *n1  *n2 *n3

              9   2   11   10           9   2   11   8   3
       + 20*m1 *m2 *n1  *n2  *n3 - 50*m1 *m2 *n1  *n2 *n3

               9   2   11   6   5         9   2   11   4   7
       - 120*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

             9   2   9   12           9   2   9   10   3
       - 4*m1 *m2 *n1 *n2  *n3 + 88*m1 *m2 *n1 *n2  *n3

               9   2   9   8   5         9   2   9   6   7
       - 240*m1 *m2 *n1 *n2 *n3  + 144*m1 *m2 *n1 *n2 *n3

              9   2   7   14           9   2   7   12   3
       - 12*m1 *m2 *n1 *n2  *n3 + 14*m1 *m2 *n1 *n2  *n3

               9   2   7   10   5         9   2   7   8   7
       + 160*m1 *m2 *n1 *n2  *n3  - 288*m1 *m2 *n1 *n2 *n3

              8   3   16   5           8   3   16   3   3
       + 12*m1 *m2 *n1  *n2 *n3 - 32*m1 *m2 *n1  *n2 *n3

              8   3   16      5        8   3   14   7
       + 16*m1 *m2 *n1  *n2*n3  - 36*m1 *m2 *n1  *n2 *n3

               8   3   14   5   3         8   3   14   3   5
       + 228*m1 *m2 *n1  *n2 *n3  - 312*m1 *m2 *n1  *n2 *n3

              8   3   14      7        8   3   12   9
       + 72*m1 *m2 *n1  *n2*n3  - 30*m1 *m2 *n1  *n2 *n3

               8   3   12   7   3         8   3   12   5   5
       - 136*m1 *m2 *n1  *n2 *n3  + 752*m1 *m2 *n1  *n2 *n3

               8   3   12   3   7        8   3   10   11
       - 576*m1 *m2 *n1  *n2 *n3  + 66*m1 *m2 *n1  *n2  *n3

               8   3   10   9   3        8   3   10   7   5
       - 326*m1 *m2 *n1  *n2 *n3  + 88*m1 *m2 *n1  *n2 *n3

               8   3   10   5   7        8   3   8   13
       + 600*m1 *m2 *n1  *n2 *n3  + 18*m1 *m2 *n1 *n2  *n3

               8   3   8   11   3         8   3   8   9   5
       + 168*m1 *m2 *n1 *n2  *n3  - 768*m1 *m2 *n1 *n2 *n3

               8   3   8   7   7        8   3   6   15
       + 576*m1 *m2 *n1 *n2 *n3  - 30*m1 *m2 *n1 *n2  *n3

              8   3   6   13   3         8   3   6   11   5
       + 98*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

               8   3   6   9   7       7   4   17   4
       - 672*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3

              7   4   17   2   3        7   4   15   6
       + 10*m1 *m2 *n1  *n2 *n3  + 64*m1 *m2 *n1  *n2 *n3

               7   4   15   4   3         7   4   15   2   5
       - 216*m1 *m2 *n1  *n2 *n3  + 128*m1 *m2 *n1  *n2 *n3

              7   4   13   8            7   4   13   6   3
       - 40*m1 *m2 *n1  *n2 *n3 + 578*m1 *m2 *n1  *n2 *n3

                7   4   13   4   5         7   4   13   2   7
       - 1056*m1 *m2 *n1  *n2 *n3  + 288*m1 *m2 *n1  *n2 *n3

               7   4   11   10            7   4   11   8   3
       - 144*m1 *m2 *n1  *n2  *n3 + 160*m1 *m2 *n1  *n2 *n3

                7   4   11   6   5          7   4   11   4   7
       + 1216*m1 *m2 *n1  *n2 *n3  - 1344*m1 *m2 *n1  *n2 *n3

              7   4   9   12            7   4   9   10   3
       + 88*m1 *m2 *n1 *n2  *n3 - 798*m1 *m2 *n1 *n2  *n3

               7   4   9   8   5         7   4   9   6   7
       + 944*m1 *m2 *n1 *n2 *n3  + 720*m1 *m2 *n1 *n2 *n3

              7   4   7   14           7   4   7   12   3
       + 80*m1 *m2 *n1 *n2  *n3 + 56*m1 *m2 *n1 *n2  *n3

                7   4   7   10   5          7   4   7   8   7
       - 1344*m1 *m2 *n1 *n2  *n3  + 1344*m1 *m2 *n1 *n2 *n3

              7   4   5   16            7   4   5   14   3
       - 40*m1 *m2 *n1 *n2  *n3 + 210*m1 *m2 *n1 *n2  *n3

               7   4   5   12   5          7   4   5   10   7
       + 112*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2  *n3

             6   5   18   3           6   5   16   5
       + 2*m1 *m2 *n1  *n2 *n3 - 46*m1 *m2 *n1  *n2 *n3

              6   5   16   3   3         6   5   14   7
       + 70*m1 *m2 *n1  *n2 *n3  + 130*m1 *m2 *n1  *n2 *n3

               6   5   14   5   3         6   5   14   3   5
       - 616*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

              6   5   12   9            6   5   12   7   3
       + 66*m1 *m2 *n1  *n2 *n3 + 686*m1 *m2 *n1  *n2 *n3

                6   5   12   5   5         6   5   12   3   7
       - 2016*m1 *m2 *n1  *n2 *n3  + 672*m1 *m2 *n1  *n2 *n3

               6   5   10   11            6   5   10   9   3
       - 262*m1 *m2 *n1  *n2  *n3 + 896*m1 *m2 *n1  *n2 *n3

               6   5   10   7   5          6   5   10   5   7
       + 896*m1 *m2 *n1  *n2 *n3  - 2016*m1 *m2 *n1  *n2 *n3

              6   5   8   13            6   5   8   11   3
       + 10*m1 *m2 *n1 *n2  *n3 - 994*m1 *m2 *n1 *n2  *n3

                6   5   8   9   5         6   5   8   7   7
       + 2128*m1 *m2 *n1 *n2 *n3  + 336*m1 *m2 *n1 *n2 *n3

               6   5   6   15            6   5   6   13   3
       + 130*m1 *m2 *n1 *n2  *n3 - 280*m1 *m2 *n1 *n2  *n3

                6   5   6   11   5          6   5   6   9   7
       - 1344*m1 *m2 *n1 *n2  *n3  + 2016*m1 *m2 *n1 *n2 *n3

              6   5   4   17            6   5   4   15   3
       - 30*m1 *m2 *n1 *n2  *n3 + 238*m1 *m2 *n1 *n2  *n3

               6   5   4   13   5          6   5   4   11   7
       - 112*m1 *m2 *n1 *n2  *n3  - 1008*m1 *m2 *n1 *n2  *n3

              5   6   17   4            5   6   15   6
       + 12*m1 *m2 *n1  *n2 *n3 - 108*m1 *m2 *n1  *n2 *n3

               5   6   15   4   3         5   6   13   8
       + 210*m1 *m2 *n1  *n2 *n3  + 108*m1 *m2 *n1  *n2 *n3

               5   6   13   6   3         5   6   13   4   5
       - 952*m1 *m2 *n1  *n2 *n3  + 896*m1 *m2 *n1  *n2 *n3

               5   6   11   10            5   6   11   8   3
       + 228*m1 *m2 *n1  *n2  *n3 + 210*m1 *m2 *n1  *n2 *n3

                5   6   11   6   5          5   6   11   4   7
       - 2352*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

               5   6   9   12             5   6   9   10   3
       - 228*m1 *m2 *n1 *n2  *n3 + 1456*m1 *m2 *n1 *n2  *n3

               5   6   9   8   5          5   6   9   6   7
       - 224*m1 *m2 *n1 *n2 *n3  - 2016*m1 *m2 *n1 *n2 *n3

               5   6   7   14            5   6   7   12   3
       - 108*m1 *m2 *n1 *n2  *n3 - 574*m1 *m2 *n1 *n2  *n3

                5   6   7   10   5         5   6   7   8   7
       + 2576*m1 *m2 *n1 *n2  *n3  - 336*m1 *m2 *n1 *n2 *n3

               5   6   5   16            5   6   5   14   3
       + 108*m1 *m2 *n1 *n2  *n3 - 504*m1 *m2 *n1 *n2  *n3

               5   6   5   12   5          5   6   5   10   7
       - 672*m1 *m2 *n1 *n2  *n3  + 2016*m1 *m2 *n1 *n2  *n3

              5   6   3   18            5   6   3   16   3
       - 12*m1 *m2 *n1 *n2  *n3 + 154*m1 *m2 *n1 *n2  *n3

               5   6   3   14   5         5   6   3   12   7
       - 224*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2  *n3

              4   7   16   5            4   7   14   7
       + 30*m1 *m2 *n1  *n2 *n3 - 130*m1 *m2 *n1  *n2 *n3

               4   7   14   5   3        4   7   12   9
       + 350*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1  *n2 *n3

               4   7   12   7   3          4   7   12   5   5
       - 840*m1 *m2 *n1  *n2 *n3  + 1120*m1 *m2 *n1  *n2 *n3

               4   7   10   11            4   7   10   9   3
       + 262*m1 *m2 *n1  *n2  *n3 - 434*m1 *m2 *n1  *n2 *n3

                4   7   10   7   5          4   7   10   5   7
       - 1680*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

              4   7   8   13             4   7   8   11   3
       - 66*m1 *m2 *n1 *n2  *n3 + 1232*m1 *m2 *n1 *n2  *n3

                4   7   8   9   5          4   7   8   7   7
       - 1120*m1 *m2 *n1 *n2 *n3  - 1344*m1 *m2 *n1 *n2 *n3

               4   7   6   15           4   7   6   13   3
       - 130*m1 *m2 *n1 *n2  *n3 + 30*m1 *m2 *n1 *n2  *n3

                4   7   6   11   5         4   7   6   9   7
       + 1840*m1 *m2 *n1 *n2  *n3  - 720*m1 *m2 *n1 *n2 *n3

              4   7   4   17            4   7   4   15   3
       + 46*m1 *m2 *n1 *n2  *n3 - 392*m1 *m2 *n1 *n2  *n3

                4   7   4   11   7       4   7   2   19
       + 1344*m1 *m2 *n1 *n2  *n3  - 2*m1 *m2 *n1 *n2  *n3

              4   7   2   17   3         4   7   2   15   5
       + 54*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2  *n3

               4   7   2   13   7        3   8   15   6
       - 288*m1 *m2 *n1 *n2  *n3  + 40*m1 *m2 *n1  *n2 *n3

              3   8   13   8            3   8   13   6   3
       - 80*m1 *m2 *n1  *n2 *n3 + 350*m1 *m2 *n1  *n2 *n3

              3   8   11   10            3   8   11   8   3
       - 88*m1 *m2 *n1  *n2  *n3 - 392*m1 *m2 *n1  *n2 *n3

               3   8   11   6   5         3   8   9   12
       + 896*m1 *m2 *n1  *n2 *n3  + 144*m1 *m2 *n1 *n2  *n3

               3   8   9   10   3         3   8   9   8   5
       - 602*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2 *n3

               3   8   9   6   7        3   8   7   14
       + 672*m1 *m2 *n1 *n2 *n3  + 40*m1 *m2 *n1 *n2  *n3

               3   8   7   12   3          3   8   7   10   5
       + 544*m1 *m2 *n1 *n2  *n3  - 1088*m1 *m2 *n1 *n2  *n3

               3   8   7   8   7        3   8   5   16
       - 576*m1 *m2 *n1 *n2 *n3  - 64*m1 *m2 *n1 *n2  *n3

               3   8   5   14   3         3   8   5   12   5
       + 244*m1 *m2 *n1 *n2  *n3  + 728*m1 *m2 *n1 *n2  *n3

               3   8   5   10   7       3   8   3   18
       - 600*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1 *n2  *n3

               3   8   3   16   3         3   8   3   14   5
       - 152*m1 *m2 *n1 *n2  *n3  + 192*m1 *m2 *n1 *n2  *n3

               3   8   3   12   7       3   8      18   3
       + 576*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1*n2  *n3

              3   8      16   5        3   8      14   7
       - 56*m1 *m2 *n1*n2  *n3  - 72*m1 *m2 *n1*n2  *n3

              2   9   14   7           2   9   12   9
       + 30*m1 *m2 *n1  *n2 *n3 - 18*m1 *m2 *n1  *n2 *n3

               2   9   12   7   3        2   9   10   11
       + 210*m1 *m2 *n1  *n2 *n3  - 66*m1 *m2 *n1  *n2  *n3

              2   9   10   9   3         2   9   10   7   5
       - 56*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

              2   9   8   13            2   9   8   11   3
       + 30*m1 *m2 *n1 *n2  *n3 - 342*m1 *m2 *n1 *n2  *n3

              2   9   8   9   5         2   9   8   7   7
       - 96*m1 *m2 *n1 *n2 *n3  + 288*m1 *m2 *n1 *n2 *n3

              2   9   6   15           2   9   6   13   3
       + 36*m1 *m2 *n1 *n2  *n3 + 80*m1 *m2 *n1 *n2  *n3

               2   9   6   11   5         2   9   6   9   7
       - 544*m1 *m2 *n1 *n2  *n3  - 144*m1 *m2 *n1 *n2 *n3

              2   9   4   17            2   9   4   15   3
       - 12*m1 *m2 *n1 *n2  *n3 + 132*m1 *m2 *n1 *n2  *n3

               2   9   4   13   5         2   9   4   11   7
       + 104*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2  *n3

              2   9   2   17   3        2   9   2   15   5
       - 24*m1 *m2 *n1 *n2  *n3  + 96*m1 *m2 *n1 *n2  *n3

               2   9   2   13   7       2   9   17   5       2   9   15   7
       + 144*m1 *m2 *n1 *n2  *n3  - 8*m1 *m2 *n2  *n3  - 8*m1 *m2 *n2  *n3

                 10   13   8             10   11   10
       + 12*m1*m2  *n1  *n2 *n3 + 4*m1*m2  *n1  *n2  *n3

                 10   11   8   3           10   9   12
       + 70*m1*m2  *n1  *n2 *n3  - 20*m1*m2  *n1 *n2  *n3

                 10   9   10   3            10   9   8   5
       + 24*m1*m2  *n1 *n2  *n3  + 128*m1*m2  *n1 *n2 *n3

                10   7   14              10   7   12   3
       - 4*m1*m2  *n1 *n2  *n3 - 94*m1*m2  *n1 *n2  *n3

                 10   7   10   5           10   7   8   7
       + 24*m1*m2  *n1 *n2  *n3  + 72*m1*m2  *n1 *n2 *n3

                10   5   16              10   5   14   3
       + 8*m1*m2  *n1 *n2  *n3 - 24*m1*m2  *n1 *n2  *n3

                  10   5   12   5           10   5   10   7
       - 144*m1*m2  *n1 *n2  *n3  - 16*m1*m2  *n1 *n2  *n3

                 10   3   16   3           10   3   14   5
       + 24*m1*m2  *n1 *n2  *n3  - 24*m1*m2  *n1 *n2  *n3

                 10   3   12   7           10      16   5
       - 72*m1*m2  *n1 *n2  *n3  + 16*m1*m2  *n1*n2  *n3

                 10      14   7       11   12   9          11   10   11
       + 16*m1*m2  *n1*n2  *n3  + 2*m2  *n1  *n2 *n3 + 2*m2  *n1  *n2  *n3

              11   10   9   3       11   8   13          11   8   11   3
       + 10*m2  *n1  *n2 *n3  - 2*m2  *n1 *n2  *n3 + 8*m2  *n1 *n2  *n3

              11   8   9   5       11   6   15           11   6   13   3
       + 16*m2  *n1 *n2 *n3  - 2*m2  *n1 *n2  *n3 - 10*m2  *n1 *n2  *n3

             11   6   11   5       11   6   9   7       11   4   15   3
       + 8*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2 *n3  - 8*m2  *n1 *n2  *n3

              11   4   13   5       11   2   15   5       11   2   13   7
       - 16*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3  - 8*m2  *n1 *n2  *n3 )

  = a product of the elements of: { - m1*n1 - m2*n2,

   m1*n1 + m2*n2,

   m1*n1 + m2*n2,

   m1*n1 + m2*n2,

   m1*n1 + m2*n2,

   m1*n2 - m2*n1,

   m1*n2 - m2*n1,

           2             2        2                2
   m1*n1*n2  - 2*m1*n1*n3  - m2*n1 *n2 - 2*m2*n2*n3 ,

           2             2        2                2
   m1*n1*n2  - 2*m1*n1*n3  - m2*n1 *n2 - 2*m2*n2*n3 ,

   n1 - n2,

   n1 + n2,

   n1 - i*n2,

   n1 + i*n2,

           2        2           3           2
   m1*n1*n3  + m2*n1 *n2 + m2*n2  + m2*n2*n3 ,

     2   2             2           2      2   2           2         2
   u1 *v1 *( - 2*a33*n1  - 2*a33*n2 ) + u1 *v2 *( - a33*n1  - a33*n2 )

        2   2           2         2                            2           2
    + u1 *v3 *( - a33*n1  - a33*n2 ) + u1*u3*v1*v3*( - 2*a33*n1  - 2*a33*n2 )

           2                                       2    3        2
    + u1*v1 *v2*(4*a33*m1*n2 - 4*a33*m2*n1) + u1*v1 *(n1  + n1*n2 )

                     2        3         3
    + u1*v1*v2*( - n1 *n2 - n2 ) + u1*v2 *(2*a33*m1*n2 - 2*a33*m2*n1)

           2    3        2            2
    + u1*v2 *(n1  + n1*n2 ) + u1*v2*v3 *(2*a33*m1*n2 - 2*a33*m2*n1)

           2    3        2      2   2           2         2
    + u1*v3 *(n1  + n1*n2 ) + u2 *v1 *( - a33*n1  - a33*n2 )

        2   2           2         2         3
    + u2 *v3 *( - a33*n1  - a33*n2 ) + u2*v1 *( - 2*a33*m1*n2 + 2*a33*m2*n1)

           2    2        3            2
    + u2*v1 *(n1 *n2 + n2 ) + u2*v1*v3 *( - 2*a33*m1*n2 + 2*a33*m2*n1)

           2    2        3      2   2           2         2
    + u2*v3 *(n1 *n2 + n2 ) + u3 *v3 *( - a33*n1  - a33*n2 )

           2                                          2    2        2
    + u3*v1 *v3*( - 2*a33*m1*n1 - 2*a33*m2*n2) + u3*v1 *(n1 *n3 + n2 *n3)

    + u3*v1*v2*v3*(2*a33*m1*n2 - 2*a33*m2*n1)

           2                                          2    2        2
    + u3*v2 *v3*( - 2*a33*m1*n1 - 2*a33*m2*n2) + u3*v2 *(n1 *n3 + n2 *n3)

                     2        3         3
    + u3*v2*v3*( - n1 *n2 - n2 ) + u3*v3 *( - 2*a33*m1*n1 - 2*a33*m2*n2)

           2    2        2         3          2        2
    + u3*v3 *(n1 *n3 + n2 *n3) + v1 *( - m1*n1  + m1*n2  - 2*m2*n1*n2)

        2                          2        2      2   2        2         2
    + v1 *v2*( - 2*m1*n1*n2 + m2*n1  - m2*n2 ) + v1 *v3 *(a33*m1  + a33*m2 )

        2
    + v1 *v3*( - 2*m1*n1*n3 - 2*m2*n2*n3)

           2          2        2
    + v1*v2 *( - m1*n1  + m1*n2  - 2*m2*n1*n2)

           2          2        2
    + v1*v3 *( - m1*n1  + m1*n2  - 2*m2*n1*n2)

        3                       2        2      2   2        2         2
    + v2 *( - 2*m1*n1*n2 + m2*n1  - m2*n2 ) + v2 *v3 *(a33*m1  + a33*m2 )

        2
    + v2 *v3*( - 2*m1*n1*n3 - 2*m2*n2*n3)

           2                       2        2      4        2         2
    + v2*v3 *( - 2*m1*n1*n2 + m2*n1  - m2*n2 ) + v3 *(a33*m1  + a33*m2 )

        3
    + v3 *( - 2*m1*n1*n3 - 2*m2*n2*n3)}

{HAM,FI} = {4,

            m1*n1 + m2*n2,

            m1*n1 + m2*n2,

            m1*n1 + m2*n2,

            m1*n1 + m2*n2,

            m1*n1 + m2*n2,

            m1*n2 - m2*n1,

            m1*n2 - m2*n1,

                    2             2        2                2
            m1*n1*n2  - 2*m1*n1*n3  - m2*n1 *n2 - 2*m2*n2*n3 ,

                    2             2        2                2
            m1*n1*n2  - 2*m1*n1*n3  - m2*n1 *n2 - 2*m2*n2*n3 ,

            u1*v1 + u2*v2 + u3*v3,

            n1 - n2,

            n1 + n2,

            n1 - i*n2,

            n1 + i*n2,

                    2        2           3           2
            m1*n1*n3  + m2*n1 *n2 + m2*n2  + m2*n2*n3 ,

                                                          2            2
                         2   2      2   2           a33*n1 *n3 + a33*n2 *n3
            u1*u3*v2*(a33 *n1  + a33 *n2 ) + u1*v2*-------------------------
                                                               2

                                                             2            2
                            2   2      2   2           a33*n1 *n3 + a33*n2 *n3
             + u2*u3*v1*(a33 *n1  + a33 *n2 ) + u2*v1*-------------------------
                                                                  2

                               3            2
                       - a33*n1  - a33*n1*n2
             + u2*v3*-------------------------
                                 2

                    2     2            2
             + u3*v1 *(a33 *m1*n2 - a33 *m2*n1)

                               2            3
                       - a33*n1 *n2 - a33*n2
             + u3*v1*-------------------------
                                 2

                    2        2            2
             + u3*v2 *( - a33 *m1*n2 + a33 *m2*n1)

                               3            2
                       - a33*n1  - a33*n1*n2
             + u3*v2*-------------------------
                                 2

                 2  a33*m1*n2*n3 - a33*m2*n1*n3
             + v1 *-----------------------------
                                 2

                                                 2             2           3
                       - a33*m1*n1*n2 + a33*m2*n1          - n1 *n2*n3 - n2 *n3
             + v1*v3*------------------------------ + v1*-----------------------
                                   2                                4

                 2   - a33*m1*n2*n3 + a33*m2*n1*n3
             + v2 *--------------------------------
                                  2

                                  2                         3           3
                       - a33*m1*n1  - a33*m2*n1*n2        n1 *n2 + n1*n2
             + v2*v3*------------------------------ + v3*-----------------}
                                   2                             4



     3     2   10   13   6   2        2   10   13   4   4
FI=u1 *(a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

                2   10   13   2   6        2   10   11   8   2
         + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

                2   10   11   6   4        2   10   11   4   6
         - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

              2   10   9   10   2        2   10   9   8   4
         + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

                2   10   9   6   6      2   9      14   7
         + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2

                2   9      14   5   2         2   9      14   3   4
         - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

                2   9      14      6        2   9      12   9
         - 8*a33 *m1 *m2*n1  *n2*n3  + 3*a33 *m1 *m2*n1  *n2

                 2   9      12   7   2        2   9      12   5   4
         - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

                 2   9      12   3   6        2   9      10   11
         + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1  *n2

                2   9      10   9   2         2   9      10   7   4
         - 4*a33 *m1 *m2*n1  *n2 *n3  - 32*a33 *m1 *m2*n1  *n2 *n3

                 2   9      10   5   6      2   9      8   13
         + 56*a33 *m1 *m2*n1  *n2 *n3  + a33 *m1 *m2*n1 *n2

                2   9      8   11   2         2   9      8   9   4
         + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2 *n3

                 2   9      8   7   6        2   8   2   15   6
         + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

                 2   8   2   15   4   2         2   8   2   15   2   4
         + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   15   6        2   8   2   13   8
         + 4*a33 *m1 *m2 *n1  *n3  - 7*a33 *m1 *m2 *n1  *n2

                 2   8   2   13   4   4         2   8   2   13   2   6
         + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   11   10         2   8   2   11   8   2
         + 3*a33 *m1 *m2 *n1  *n2   - 63*a33 *m1 *m2 *n1  *n2 *n3

                  2   8   2   11   6   4         2   8   2   11   4   6
         + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

                 2   8   2   9   12         2   8   2   9   10   2
         + 11*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

                2   8   2   9   8   4          2   8   2   9   6   6
         - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

                2   8   2   7   14        2   8   2   7   12   2
         + 5*a33 *m1 *m2 *n1 *n2   - 9*a33 *m1 *m2 *n1 *n2  *n3

                 2   8   2   7   10   4          2   8   2   7   8   6
         - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   16   5         2   7   3   16   3   2
         + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   16      4        2   7   3   14   7
         + 8*a33 *m1 *m2 *n1  *n2*n3  - 2*a33 *m1 *m2 *n1  *n2

                 2   7   3   14   5   2          2   7   3   14   3   4
         + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

                 2   7   3   14      6         2   7   3   12   9
         + 32*a33 *m1 *m2 *n1  *n2*n3  - 32*a33 *m1 *m2 *n1  *n2

                  2   7   3   12   7   2         2   7   3   12   5   4
         + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                  2   7   3   12   3   6         2   7   3   10   11
         - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                 2   7   3   10   9   2          2   7   3   10   7   4
         - 40*a33 *m1 *m2 *n1  *n2 *n3  + 368*a33 *m1 *m2 *n1  *n2 *n3

                  2   7   3   10   5   6         2   7   3   8   13
         - 192*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                  2   7   3   8   11   2          2   7   3   8   9   4
         - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                  2   7   3   8   7   6         2   7   3   6   15
         + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                 2   7   3   6   13   2         2   7   3   6   11   4
         - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                  2   7   3   6   9   6        2   6   4   17   4
         + 224*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

                2   6   4   17   2   2         2   6   4   15   6
         + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2

                 2   6   4   15   4   2         2   6   4   15   2   4
         - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   4   13   8         2   6   4   13   6   2
         + 38*a33 *m1 *m2 *n1  *n2  + 19*a33 *m1 *m2 *n1  *n2 *n3

                  2   6   4   13   4   4          2   6   4   13   2   6
         - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   4   11   10          2   6   4   11   8   2
         - 24*a33 *m1 *m2 *n1  *n2   + 324*a33 *m1 *m2 *n1  *n2 *n3

                  2   6   4   11   6   4          2   6   4   11   4   6
         - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   4   9   12          2   6   4   9   10   2
         - 60*a33 *m1 *m2 *n1 *n2   + 173*a33 *m1 *m2 *n1 *n2  *n3

                  2   6   4   9   8   4          2   6   4   9   6   6
         + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   4   7   14          2   6   4   7   12   2
         - 10*a33 *m1 *m2 *n1 *n2   - 110*a33 *m1 *m2 *n1 *n2  *n3

                  2   6   4   7   10   4          2   6   4   7   8   6
         + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   4   5   16         2   6   4   5   14   2
         + 10*a33 *m1 *m2 *n1 *n2   - 65*a33 *m1 *m2 *n1 *n2  *n3

                  2   6   4   5   10   6      2   5   5   18   3
         + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

                 2   5   5   16   5         2   5   5   16   3   2
         - 17*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   14   7          2   5   5   14   5   2
         + 3*a33 *m1 *m2 *n1  *n2  - 156*a33 *m1 *m2 *n1  *n2 *n3

                  2   5   5   14   3   4         2   5   5   12   9
         + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2

                  2   5   5   12   7   2          2   5   5   12   5   4
         - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                  2   5   5   12   3   6         2   5   5   10   11
         + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1  *n2

                  2   5   5   10   9   2          2   5   5   10   7   4
         + 264*a33 *m1 *m2 *n1  *n2 *n3  - 784*a33 *m1 *m2 *n1  *n2 *n3

                  2   5   5   10   5   6         2   5   5   8   13
         - 112*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2

                  2   5   5   8   11   2          2   5   5   8   7   6
         + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   5   6   15         2   5   5   6   13   2
         - 25*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                  2   5   5   6   11   4          2   5   5   6   9   6
         + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

                2   5   5   4   17         2   5   5   4   15   2
         + 5*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   5   4   13   4          2   5   5   4   11   6
         + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   17   4         2   4   6   15   6
         + 5*a33 *m1 *m2 *n1  *n2  - 25*a33 *m1 *m2 *n1  *n2

                 2   4   6   15   4   2         2   4   6   13   8
         + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2

                  2   4   6   13   6   2          2   4   6   13   4   4
         - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

                 2   4   6   11   10          2   4   6   11   8   2
         + 45*a33 *m1 *m2 *n1  *n2   - 415*a33 *m1 *m2 *n1  *n2 *n3

                  2   4   6   11   4   6         2   4   6   9   12
         + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2

                 2   4   6   9   10   2          2   4   6   9   8   4
         - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                  2   4   6   9   6   6        2   4   6   7   14
         + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                  2   4   6   7   12   2          2   4   6   7   10   4
         + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                  2   4   6   7   8   6         2   4   6   5   16
         - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2

                 2   4   6   5   14   2          2   4   6   5   12   4
         + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                  2   4   6   5   10   6      2   4   6   3   18
         - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2

                 2   4   6   3   16   2         2   4   6   3   14   4
         - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                  2   4   6   3   12   6         2   3   7   16   5
         + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

                 2   3   7   14   7          2   3   7   14   5   2
         - 10*a33 *m1 *m2 *n1  *n2  + 100*a33 *m1 *m2 *n1  *n2 *n3

                 2   3   7   12   9         2   3   7   12   7   2
         - 60*a33 *m1 *m2 *n1  *n2  + 40*a33 *m1 *m2 *n1  *n2 *n3

                  2   3   7   12   5   4         2   3   7   10   11
         + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                  2   3   7   10   9   2          2   3   7   10   7   4
         - 292*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

                  2   3   7   10   5   6         2   3   7   8   13
         + 224*a33 *m1 *m2 *n1  *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2

                  2   3   7   8   11   2          2   3   7   8   9   4
         - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                  2   3   7   8   7   6         2   3   7   6   15
         + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2

                 2   3   7   6   13   2          2   3   7   6   11   4
         + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                  2   3   7   6   9   6        2   3   7   4   17
         - 192*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

                 2   3   7   4   15   2        2   3   7   4   13   4
         + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                  2   3   7   4   11   6        2   3   7   2   17   2
         - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1 *n2  *n3

                 2   3   7   2   15   4         2   3   7   2   13   6
         + 24*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                 2   2   8   15   6         2   2   8   13   8
         + 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

                 2   2   8   13   6   2         2   2   8   11   10
         + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                  2   2   8   11   8   2          2   2   8   11   6   4
         + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

                 2   2   8   9   12         2   2   8   9   10   2
         - 32*a33 *m1 *m2 *n1 *n2   - 51*a33 *m1 *m2 *n1 *n2  *n3

                  2   2   8   9   8   4          2   2   8   9   6   6
         + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   2   8   7   14          2   2   8   7   12   2
         - 2*a33 *m1 *m2 *n1 *n2   - 132*a33 *m1 *m2 *n1 *n2  *n3

                 2   2   8   7   10   4          2   2   8   7   8   6
         + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

                2   2   8   5   16         2   2   8   5   14   2
         + 6*a33 *m1 *m2 *n1 *n2   - 30*a33 *m1 *m2 *n1 *n2  *n3

                  2   2   8   5   12   4         2   2   8   5   10   6
         - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

                 2   2   8   3   16   2         2   2   8   3   14   4
         + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

                 2   2   8   3   12   6        2   2   8      16   4
         - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

                2   2   8      14   6        2      9   14   7
         + 4*a33 *m1 *m2 *n1*n2  *n3  + 5*a33 *m1*m2 *n1  *n2

                 2      9   12   9         2      9   12   7   2
         + 11*a33 *m1*m2 *n1  *n2  + 30*a33 *m1*m2 *n1  *n2 *n3

                2      9   10   11         2      9   10   9   2
         + 3*a33 *m1*m2 *n1  *n2   + 68*a33 *m1*m2 *n1  *n2 *n3

                 2      9   10   7   4        2      9   8   13
         + 56*a33 *m1*m2 *n1  *n2 *n3  - 7*a33 *m1*m2 *n1 *n2

                 2      9   8   11   2          2      9   8   9   4
         + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2 *n3

                 2      9   8   7   6        2      9   6   15
         + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2

                 2      9   6   13   2         2      9   6   11   4
         - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

                 2      9   6   9   6         2      9   4   15   2
         + 56*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

                2      9   4   13   4         2      9   4   11   6
         - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

                2      9   2   15   4        2      9   2   13   6
         - 8*a33 *m1*m2 *n1 *n2  *n3  - 8*a33 *m1*m2 *n1 *n2  *n3

              2   10   13   8        2   10   11   10        2   10   11   8   2
         + a33 *m2  *n1  *n2  + 3*a33 *m2  *n1  *n2   + 5*a33 *m2  *n1  *n2 *n3

                2   10   9   12         2   10   9   10   2
         + 3*a33 *m2  *n1 *n2   + 14*a33 *m2  *n1 *n2  *n3

                2   10   9   8   4      2   10   7   14
         + 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

                 2   10   7   12   2         2   10   7   10   4
         + 13*a33 *m2  *n1 *n2  *n3  + 20*a33 *m2  *n1 *n2  *n3

                2   10   7   8   6        2   10   5   14   2
         + 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

                 2   10   5   12   4        2   10   5   10   6
         + 16*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3

                2   10   3   14   4        2   10   3   12   6      2
         + 4*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3 ) + u1 *u2*(

         2   10   12   7   2        2   10   12   5   4
      a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              2   10   12   3   6        2   10   10   9   2
       + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

              2   10   10   7   4        2   10   10   5   6
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

            2   10   8   11   2        2   10   8   9   4
       + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

              2   10   8   7   6      2   9      13   8
       + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2

              2   9      13   6   2         2   9      13   4   4
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      13   2   6        2   9      11   10
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1  *n2

               2   9      11   8   2        2   9      11   6   4
       - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   4   6        2   9      9   12
       + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1 *n2

              2   9      9   10   2         2   9      9   8   4
       - 4*a33 *m1 *m2*n1 *n2  *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

               2   9      9   6   6      2   9      7   14
       + 56*a33 *m1 *m2*n1 *n2 *n3  + a33 *m1 *m2*n1 *n2

              2   9      7   12   2         2   9      7   10   4
       + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2  *n3

               2   9      7   8   6        2   8   2   14   7
       + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

               2   8   2   14   5   2         2   8   2   14   3   4
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   14      6        2   8   2   12   9
       + 4*a33 *m1 *m2 *n1  *n2*n3  - 7*a33 *m1 *m2 *n1  *n2

               2   8   2   12   5   4         2   8   2   12   3   6
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   10   11         2   8   2   10   9   2
       + 3*a33 *m1 *m2 *n1  *n2   - 63*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   10   7   4         2   8   2   10   5   6
       + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   8   13         2   8   2   8   11   2
       + 11*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

              2   8   2   8   9   4          2   8   2   8   7   6
       - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   8   2   6   15        2   8   2   6   13   2
       + 5*a33 *m1 *m2 *n1 *n2   - 9*a33 *m1 *m2 *n1 *n2  *n3

               2   8   2   6   11   4          2   8   2   6   9   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   3   15   6         2   7   3   15   4   2
       + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

              2   7   3   15   2   4        2   7   3   13   8
       + 8*a33 *m1 *m2 *n1  *n2 *n3  - 2*a33 *m1 *m2 *n1  *n2

               2   7   3   13   6   2          2   7   3   13   4   4
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13   2   6         2   7   3   11   10
       + 32*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2

                2   7   3   11   8   2         2   7   3   11   6   4
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   4   6         2   7   3   9   12
       - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

               2   7   3   9   10   2          2   7   3   9   8   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3  + 368*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   9   6   6         2   7   3   7   14
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   7   3   7   12   2          2   7   3   7   10   4
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   7   8   6         2   7   3   5   16
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               2   7   3   5   14   2         2   7   3   5   12   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   5   10   6        2   6   4   16   5
       + 224*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1  *n2

              2   6   4   16   3   2         2   6   4   14   7
       + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2

               2   6   4   14   5   2         2   6   4   14   3   4
       - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   12   9         2   6   4   12   7   2
       + 38*a33 *m1 *m2 *n1  *n2  + 19*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   12   5   4          2   6   4   12   3   6
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   10   11          2   6   4   10   9   2
       - 24*a33 *m1 *m2 *n1  *n2   + 324*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   10   7   4          2   6   4   10   5   6
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   8   13          2   6   4   8   11   2
       - 60*a33 *m1 *m2 *n1 *n2   + 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   8   9   4          2   6   4   8   7   6
       + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   6   15          2   6   4   6   13   2
       - 10*a33 *m1 *m2 *n1 *n2   - 110*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   6   11   4          2   6   4   6   9   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   4   17         2   6   4   4   15   2
       + 10*a33 *m1 *m2 *n1 *n2   - 65*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   4   11   6      2   5   5   17   4
       + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

               2   5   5   15   6         2   5   5   15   4   2
       - 17*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

              2   5   5   13   8          2   5   5   13   6   2
       + 3*a33 *m1 *m2 *n1  *n2  - 156*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   13   4   4         2   5   5   11   10
       + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2

                2   5   5   11   8   2          2   5   5   11   6   4
       - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   4   6         2   5   5   9   12
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2

                2   5   5   9   10   2          2   5   5   9   8   4
       + 264*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   5   5   9   6   6         2   5   5   7   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2

                2   5   5   7   12   2          2   5   5   7   8   6
       + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   5   5   5   16         2   5   5   5   14   2
       - 25*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   5   12   4          2   5   5   5   10   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

              2   5   5   3   18         2   5   5   3   16   2
       + 5*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

               2   5   5   3   14   4          2   5   5   3   12   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

              2   4   6   16   5         2   4   6   14   7
       + 5*a33 *m1 *m2 *n1  *n2  - 25*a33 *m1 *m2 *n1  *n2

               2   4   6   14   5   2         2   4   6   12   9
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2

                2   4   6   12   7   2          2   4   6   12   5   4
       - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   10   11          2   4   6   10   9   2
       + 45*a33 *m1 *m2 *n1  *n2   - 415*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   10   5   6         2   4   6   8   13
       + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2

               2   4   6   8   11   2          2   4   6   8   9   4
       - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   6   8   7   6        2   4   6   6   15
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                2   4   6   6   13   2          2   4   6   6   11   4
       + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   9   6         2   4   6   4   17
       - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2

               2   4   6   4   15   2          2   4   6   4   13   4
       + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   4   11   6      2   4   6   2   19
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2

               2   4   6   2   17   2         2   4   6   2   15   4
       - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   2   13   6         2   3   7   15   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   3   7   13   8          2   3   7   13   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   11   10         2   3   7   11   8   2
       - 60*a33 *m1 *m2 *n1  *n2   + 40*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   11   6   4         2   3   7   9   12
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

                2   3   7   9   10   2          2   3   7   9   8   4
       - 292*a33 *m1 *m2 *n1 *n2  *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   9   6   6         2   3   7   7   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2

                2   3   7   7   12   2          2   3   7   7   10   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   7   8   6         2   3   7   5   16
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2

               2   3   7   5   14   2          2   3   7   5   12   4
       + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   5   10   6        2   3   7   3   18
       - 192*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1 *n2

               2   3   7   3   16   2        2   3   7   3   14   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   3   12   6        2   3   7      18   2
       - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   7      16   4         2   3   7      14   6
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               2   2   8   14   7         2   2   8   12   9
       + 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

               2   2   8   12   7   2         2   2   8   10   11
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                2   2   8   10   9   2          2   2   8   10   7   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   8   13         2   2   8   8   11   2
       - 32*a33 *m1 *m2 *n1 *n2   - 51*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   8   9   4          2   2   8   8   7   6
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   6   15          2   2   8   6   13   2
       - 2*a33 *m1 *m2 *n1 *n2   - 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   6   11   4          2   2   8   6   9   6
       + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   4   17         2   2   8   4   15   2
       + 6*a33 *m1 *m2 *n1 *n2   - 30*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   4   13   4         2   2   8   4   11   6
       - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   17   2         2   2   8   2   15   4
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   13   6        2   2   8   17   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              2   2   8   15   6        2      9   13   8
       + 4*a33 *m1 *m2 *n2  *n3  + 5*a33 *m1*m2 *n1  *n2

               2      9   11   10         2      9   11   8   2
       + 11*a33 *m1*m2 *n1  *n2   + 30*a33 *m1*m2 *n1  *n2 *n3

              2      9   9   12         2      9   9   10   2
       + 3*a33 *m1*m2 *n1 *n2   + 68*a33 *m1*m2 *n1 *n2  *n3

               2      9   9   8   4        2      9   7   14
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 7*a33 *m1*m2 *n1 *n2

               2      9   7   12   2          2      9   7   10   4
       + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2  *n3

               2      9   7   8   6        2      9   5   16
       + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2

               2      9   5   14   2         2      9   5   12   4
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   10   6         2      9   3   16   2
       + 56*a33 *m1*m2 *n1 *n2  *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

              2      9   3   14   4         2      9   3   12   6
       - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

              2      9      16   4        2      9      14   6
       - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2  *n3

            2   10   12   9        2   10   10   11        2   10   10   9   2
       + a33 *m2  *n1  *n2  + 3*a33 *m2  *n1  *n2   + 5*a33 *m2  *n1  *n2 *n3

              2   10   8   13         2   10   8   11   2
       + 3*a33 *m2  *n1 *n2   + 14*a33 *m2  *n1 *n2  *n3

              2   10   8   9   4      2   10   6   15
       + 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

               2   10   6   13   2         2   10   6   11   4
       + 13*a33 *m2  *n1 *n2  *n3  + 20*a33 *m2  *n1 *n2  *n3

              2   10   6   9   6        2   10   4   15   2
       + 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

               2   10   4   13   4        2   10   4   11   6
       + 16*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3

              2   10   2   15   4        2   10   2   13   6      2   2
       + 4*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3 ) + u1 *u3 *(

         3   10   12   6   2        3   10   12   4   4
      a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              3   10   12   2   6        3   10   10   8   2
       + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

              3   10   10   6   4        3   10   10   4   6
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

            3   10   8   10   2        3   10   8   8   4
       + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

              3   10   8   6   6      3   9      13   7
       + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2

              3   9      13   5   2         3   9      13   3   4
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

              3   9      13      6        3   9      11   9
       - 8*a33 *m1 *m2*n1  *n2*n3  + 3*a33 *m1 *m2*n1  *n2

               3   9      11   7   2        3   9      11   5   4
       - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

               3   9      11   3   6        3   9      9   11
       + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1 *n2

              3   9      9   9   2         3   9      9   7   4
       - 4*a33 *m1 *m2*n1 *n2 *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

               3   9      9   5   6      3   9      7   13
       + 56*a33 *m1 *m2*n1 *n2 *n3  + a33 *m1 *m2*n1 *n2

              3   9      7   11   2         3   9      7   9   4
       + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2 *n3

               3   9      7   7   6        3   8   2   14   6
       + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

               3   8   2   14   4   2         3   8   2   14   2   4
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              3   8   2   14   6        3   8   2   12   8
       + 4*a33 *m1 *m2 *n1  *n3  - 7*a33 *m1 *m2 *n1  *n2

               3   8   2   12   4   4         3   8   2   12   2   6
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              3   8   2   10   10         3   8   2   10   8   2
       + 3*a33 *m1 *m2 *n1  *n2   - 63*a33 *m1 *m2 *n1  *n2 *n3

                3   8   2   10   6   4         3   8   2   10   4   6
       + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

               3   8   2   8   12         3   8   2   8   10   2
       + 11*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

              3   8   2   8   8   4          3   8   2   8   6   6
       - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              3   8   2   6   14        3   8   2   6   12   2
       + 5*a33 *m1 *m2 *n1 *n2   - 9*a33 *m1 *m2 *n1 *n2  *n3

               3   8   2   6   10   4          3   8   2   6   8   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              3   7   3   15   5         3   7   3   15   3   2
       + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

              3   7   3   15      4        3   7   3   13   7
       + 8*a33 *m1 *m2 *n1  *n2*n3  - 2*a33 *m1 *m2 *n1  *n2

               3   7   3   13   5   2          3   7   3   13   3   4
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

               3   7   3   13      6         3   7   3   11   9
       + 32*a33 *m1 *m2 *n1  *n2*n3  - 32*a33 *m1 *m2 *n1  *n2

                3   7   3   11   7   2         3   7   3   11   5   4
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                3   7   3   11   3   6         3   7   3   9   11
       - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

               3   7   3   9   9   2          3   7   3   9   7   4
       - 40*a33 *m1 *m2 *n1 *n2 *n3  + 368*a33 *m1 *m2 *n1 *n2 *n3

                3   7   3   9   5   6         3   7   3   7   13
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                3   7   3   7   11   2          3   7   3   7   9   4
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                3   7   3   7   7   6         3   7   3   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               3   7   3   5   13   2         3   7   3   5   11   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                3   7   3   5   9   6        3   6   4   16   4
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

              3   6   4   16   2   2         3   6   4   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2

               3   6   4   14   4   2         3   6   4   14   2   4
       - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

               3   6   4   12   8         3   6   4   12   6   2
       + 38*a33 *m1 *m2 *n1  *n2  + 19*a33 *m1 *m2 *n1  *n2 *n3

                3   6   4   12   4   4          3   6   4   12   2   6
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               3   6   4   10   10          3   6   4   10   8   2
       - 24*a33 *m1 *m2 *n1  *n2   + 324*a33 *m1 *m2 *n1  *n2 *n3

                3   6   4   10   6   4          3   6   4   10   4   6
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               3   6   4   8   12          3   6   4   8   10   2
       - 60*a33 *m1 *m2 *n1 *n2   + 173*a33 *m1 *m2 *n1 *n2  *n3

                3   6   4   8   8   4          3   6   4   8   6   6
       + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

               3   6   4   6   14          3   6   4   6   12   2
       - 10*a33 *m1 *m2 *n1 *n2   - 110*a33 *m1 *m2 *n1 *n2  *n3

                3   6   4   6   10   4          3   6   4   6   8   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               3   6   4   4   16         3   6   4   4   14   2
       + 10*a33 *m1 *m2 *n1 *n2   - 65*a33 *m1 *m2 *n1 *n2  *n3

                3   6   4   4   10   6      3   5   5   17   3
       + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

               3   5   5   15   5         3   5   5   15   3   2
       - 17*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

              3   5   5   13   7          3   5   5   13   5   2
       + 3*a33 *m1 *m2 *n1  *n2  - 156*a33 *m1 *m2 *n1  *n2 *n3

                3   5   5   13   3   4         3   5   5   11   9
       + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2

                3   5   5   11   7   2          3   5   5   11   5   4
       - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                3   5   5   11   3   6         3   5   5   9   11
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2

                3   5   5   9   9   2          3   5   5   9   7   4
       + 264*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                3   5   5   9   5   6         3   5   5   7   13
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2

                3   5   5   7   11   2          3   5   5   7   7   6
       + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               3   5   5   5   15         3   5   5   5   13   2
       - 25*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                3   5   5   5   11   4          3   5   5   5   9   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              3   5   5   3   17         3   5   5   3   15   2
       + 5*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

               3   5   5   3   13   4          3   5   5   3   11   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

              3   4   6   16   4         3   4   6   14   6
       + 5*a33 *m1 *m2 *n1  *n2  - 25*a33 *m1 *m2 *n1  *n2

               3   4   6   14   4   2         3   4   6   12   8
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2

                3   4   6   12   6   2          3   4   6   12   4   4
       - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               3   4   6   10   10          3   4   6   10   8   2
       + 45*a33 *m1 *m2 *n1  *n2   - 415*a33 *m1 *m2 *n1  *n2 *n3

                3   4   6   10   4   6         3   4   6   8   12
       + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2

               3   4   6   8   10   2          3   4   6   8   8   4
       - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                3   4   6   8   6   6        3   4   6   6   14
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                3   4   6   6   12   2          3   4   6   6   10   4
       + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                3   4   6   6   8   6         3   4   6   4   16
       - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2

               3   4   6   4   14   2          3   4   6   4   12   4
       + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                3   4   6   4   10   6      3   4   6   2   18
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2

               3   4   6   2   16   2         3   4   6   2   14   4
       - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                3   4   6   2   12   6         3   3   7   15   5
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               3   3   7   13   7          3   3   7   13   5   2
       - 10*a33 *m1 *m2 *n1  *n2  + 100*a33 *m1 *m2 *n1  *n2 *n3

               3   3   7   11   9         3   3   7   11   7   2
       - 60*a33 *m1 *m2 *n1  *n2  + 40*a33 *m1 *m2 *n1  *n2 *n3

                3   3   7   11   5   4         3   3   7   9   11
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

                3   3   7   9   9   2          3   3   7   9   7   4
       - 292*a33 *m1 *m2 *n1 *n2 *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

                3   3   7   9   5   6         3   3   7   7   13
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2

                3   3   7   7   11   2          3   3   7   7   9   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                3   3   7   7   7   6         3   3   7   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2

               3   3   7   5   13   2          3   3   7   5   11   4
       + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                3   3   7   5   9   6        3   3   7   3   17
       - 192*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

               3   3   7   3   15   2        3   3   7   3   13   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                3   3   7   3   11   6        3   3   7      17   2
       - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

               3   3   7      15   4         3   3   7      13   6
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               3   2   8   14   6         3   2   8   12   8
       + 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

               3   2   8   12   6   2         3   2   8   10   10
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                3   2   8   10   8   2          3   2   8   10   6   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               3   2   8   8   12         3   2   8   8   10   2
       - 32*a33 *m1 *m2 *n1 *n2   - 51*a33 *m1 *m2 *n1 *n2  *n3

                3   2   8   8   8   4          3   2   8   8   6   6
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              3   2   8   6   14          3   2   8   6   12   2
       - 2*a33 *m1 *m2 *n1 *n2   - 132*a33 *m1 *m2 *n1 *n2  *n3

               3   2   8   6   10   4          3   2   8   6   8   6
       + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              3   2   8   4   16         3   2   8   4   14   2
       + 6*a33 *m1 *m2 *n1 *n2   - 30*a33 *m1 *m2 *n1 *n2  *n3

                3   2   8   4   12   4         3   2   8   4   10   6
       - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               3   2   8   2   16   2         3   2   8   2   14   4
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

               3   2   8   2   12   6        3   2   8   16   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              3   2   8   14   6        3      9   13   7
       + 4*a33 *m1 *m2 *n2  *n3  + 5*a33 *m1*m2 *n1  *n2

               3      9   11   9         3      9   11   7   2
       + 11*a33 *m1*m2 *n1  *n2  + 30*a33 *m1*m2 *n1  *n2 *n3

              3      9   9   11         3      9   9   9   2
       + 3*a33 *m1*m2 *n1 *n2   + 68*a33 *m1*m2 *n1 *n2 *n3

               3      9   9   7   4        3      9   7   13
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 7*a33 *m1*m2 *n1 *n2

               3      9   7   11   2          3      9   7   9   4
       + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2 *n3

               3      9   7   7   6        3      9   5   15
       + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2

               3      9   5   13   2         3      9   5   11   4
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

               3      9   5   9   6         3      9   3   15   2
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

              3      9   3   13   4         3      9   3   11   6
       - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

              3      9      15   4        3      9      13   6
       - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2  *n3

            3   10   12   8        3   10   10   10        3   10   10   8   2
       + a33 *m2  *n1  *n2  + 3*a33 *m2  *n1  *n2   + 5*a33 *m2  *n1  *n2 *n3

              3   10   8   12         3   10   8   10   2
       + 3*a33 *m2  *n1 *n2   + 14*a33 *m2  *n1 *n2  *n3

              3   10   8   8   4      3   10   6   14
       + 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

               3   10   6   12   2         3   10   6   10   4
       + 13*a33 *m2  *n1 *n2  *n3  + 20*a33 *m2  *n1 *n2  *n3

              3   10   6   8   6        3   10   4   14   2
       + 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

               3   10   4   12   4        3   10   4   10   6
       + 16*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3

              3   10   2   14   4        3   10   2   12   6      2
       + 4*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3 ) + u1 *u3*(

         2   10   12   6   3        2   10   12   4   5
      a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              2   10   12   2   7        2   10   10   8   3
       + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

              2   10   10   6   5        2   10   10   4   7
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

            2   10   8   10   3        2   10   8   8   5
       + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

              2   10   8   6   7      2   9      13   7
       + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2 *n3

              2   9      13   5   3         2   9      13   3   5
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      13      7        2   9      11   9
       - 8*a33 *m1 *m2*n1  *n2*n3  + 3*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   7   3        2   9      11   5   5
       - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   3   7        2   9      9   11
       + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1 *n2  *n3

              2   9      9   9   3         2   9      9   7   5
       - 4*a33 *m1 *m2*n1 *n2 *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

               2   9      9   5   7      2   9      7   13
       + 56*a33 *m1 *m2*n1 *n2 *n3  + a33 *m1 *m2*n1 *n2  *n3

              2   9      7   11   3         2   9      7   9   5
       + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2 *n3

               2   9      7   7   7        2   8   2   14   6
       + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   14   4   3         2   8   2   14   2   5
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   14   7        2   8   2   12   8
       + 4*a33 *m1 *m2 *n1  *n3  - 7*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   12   4   5         2   8   2   12   2   7
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   10   10            2   8   2   10   8   3
       + 3*a33 *m1 *m2 *n1  *n2  *n3 - 63*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   10   6   5         2   8   2   10   4   7
       + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   8   12            2   8   2   8   10   3
       + 11*a33 *m1 *m2 *n1 *n2  *n3 - 54*a33 *m1 *m2 *n1 *n2  *n3

              2   8   2   8   8   5          2   8   2   8   6   7
       - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   8   2   6   14           2   8   2   6   12   3
       + 5*a33 *m1 *m2 *n1 *n2  *n3 - 9*a33 *m1 *m2 *n1 *n2  *n3

               2   8   2   6   10   5          2   8   2   6   8   7
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   3   15   5            2   7   3   15   3   3
       + 6*a33 *m1 *m2 *n1  *n2 *n3 - 16*a33 *m1 *m2 *n1  *n2 *n3

              2   7   3   15      5        2   7   3   13   7
       + 8*a33 *m1 *m2 *n1  *n2*n3  - 2*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13   5   3          2   7   3   13   3   5
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13      7         2   7   3   11   9
       + 32*a33 *m1 *m2 *n1  *n2*n3  - 32*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   7   3         2   7   3   11   5   5
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   3   7         2   7   3   9   11
       - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               2   7   3   9   9   3          2   7   3   9   7   5
       - 40*a33 *m1 *m2 *n1 *n2 *n3  + 368*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   9   5   7         2   7   3   7   13
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   7   11   3          2   7   3   7   9   5
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   7   7   7         2   7   3   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

               2   7   3   5   13   3         2   7   3   5   11   5
       - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   5   9   7        2   6   4   16   4
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2 *n3

              2   6   4   16   2   3         2   6   4   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   14   4   3         2   6   4   14   2   5
       - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   12   8            2   6   4   12   6   3
       + 38*a33 *m1 *m2 *n1  *n2 *n3 + 19*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   12   4   5          2   6   4   12   2   7
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   10   10             2   6   4   10   8   3
       - 24*a33 *m1 *m2 *n1  *n2  *n3 + 324*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   10   6   5          2   6   4   10   4   7
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   8   12             2   6   4   8   10   3
       - 60*a33 *m1 *m2 *n1 *n2  *n3 + 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   8   8   5          2   6   4   8   6   7
       + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   6   14             2   6   4   6   12   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 - 110*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   6   10   5          2   6   4   6   8   7
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   4   16            2   6   4   4   14   3
       + 10*a33 *m1 *m2 *n1 *n2  *n3 - 65*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   4   10   7      2   5   5   17   3
       + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2 *n3

               2   5   5   15   5            2   5   5   15   3   3
       - 17*a33 *m1 *m2 *n1  *n2 *n3 + 30*a33 *m1 *m2 *n1  *n2 *n3

              2   5   5   13   7             2   5   5   13   5   3
       + 3*a33 *m1 *m2 *n1  *n2 *n3 - 156*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   13   3   5         2   5   5   11   9
       + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   7   3          2   5   5   11   5   5
       - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   3   7         2   5   5   9   11
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   9   9   3          2   5   5   9   7   5
       + 264*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   5   5   9   5   7         2   5   5   7   13
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   7   11   3          2   5   5   7   7   7
       + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   5   5   5   15            2   5   5   5   13   3
       - 25*a33 *m1 *m2 *n1 *n2  *n3 + 12*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   5   11   5          2   5   5   5   9   7
       + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   5   5   3   17            2   5   5   3   15   3
       + 5*a33 *m1 *m2 *n1 *n2  *n3 - 54*a33 *m1 *m2 *n1 *n2  *n3

               2   5   5   3   13   5          2   5   5   3   11   7
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

              2   4   6   16   4            2   4   6   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3 - 25*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   14   4   3         2   4   6   12   8
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   12   6   3          2   4   6   12   4   5
       - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   10   10             2   4   6   10   8   3
       + 45*a33 *m1 *m2 *n1  *n2  *n3 - 415*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   10   4   7         2   4   6   8   12
       + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   8   10   3          2   4   6   8   8   5
       - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   6   8   6   7        2   4   6   6   14
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   12   3          2   4   6   6   10   5
       + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   8   7         2   4   6   4   16
       - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   4   14   3          2   4   6   4   12   5
       + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   4   10   7      2   4   6   2   18
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   2   16   3         2   4   6   2   14   5
       - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   2   12   7         2   3   7   15   5
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   13   7             2   3   7   13   5   3
       - 10*a33 *m1 *m2 *n1  *n2 *n3 + 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   11   9            2   3   7   11   7   3
       - 60*a33 *m1 *m2 *n1  *n2 *n3 + 40*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   11   5   5         2   3   7   9   11
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   9   9   3          2   3   7   9   7   5
       - 292*a33 *m1 *m2 *n1 *n2 *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   9   5   7         2   3   7   7   13
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   7   11   3          2   3   7   7   9   5
       - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   7   7   7         2   3   7   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   5   13   3          2   3   7   5   11   5
       + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   5   9   7        2   3   7   3   17
       - 192*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   3   15   3        2   3   7   3   13   5
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   3   11   7        2   3   7      17   3
       - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   7      15   5         2   3   7      13   7
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               2   2   8   14   6            2   2   8   12   8
       + 10*a33 *m1 *m2 *n1  *n2 *n3 + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   12   6   3         2   2   8   10   10
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2  *n3

                2   2   8   10   8   3          2   2   8   10   6   5
       + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   8   12            2   2   8   8   10   3
       - 32*a33 *m1 *m2 *n1 *n2  *n3 - 51*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   8   8   5          2   2   8   8   6   7
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   6   14             2   2   8   6   12   3
       - 2*a33 *m1 *m2 *n1 *n2  *n3 - 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   6   10   5          2   2   8   6   8   7
       + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   4   16            2   2   8   4   14   3
       + 6*a33 *m1 *m2 *n1 *n2  *n3 - 30*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   4   12   5         2   2   8   4   10   7
       - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   16   3         2   2   8   2   14   5
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   12   7        2   2   8   16   5
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              2   2   8   14   7        2      9   13   7
       + 4*a33 *m1 *m2 *n2  *n3  + 5*a33 *m1*m2 *n1  *n2 *n3

               2      9   11   9            2      9   11   7   3
       + 11*a33 *m1*m2 *n1  *n2 *n3 + 30*a33 *m1*m2 *n1  *n2 *n3

              2      9   9   11            2      9   9   9   3
       + 3*a33 *m1*m2 *n1 *n2  *n3 + 68*a33 *m1*m2 *n1 *n2 *n3

               2      9   9   7   5        2      9   7   13
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 7*a33 *m1*m2 *n1 *n2  *n3

               2      9   7   11   3          2      9   7   9   5
       + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2 *n3

               2      9   7   7   7        2      9   5   15
       + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   13   3         2      9   5   11   5
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   9   7         2      9   3   15   3
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

              2      9   3   13   5         2      9   3   11   7
       - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

              2      9      15   5        2      9      13   7
       - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2  *n3

            2   10   12   8           2   10   10   10
       + a33 *m2  *n1  *n2 *n3 + 3*a33 *m2  *n1  *n2  *n3

              2   10   10   8   3        2   10   8   12
       + 5*a33 *m2  *n1  *n2 *n3  + 3*a33 *m2  *n1 *n2  *n3

               2   10   8   10   3        2   10   8   8   5
       + 14*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2 *n3

            2   10   6   14            2   10   6   12   3
       + a33 *m2  *n1 *n2  *n3 + 13*a33 *m2  *n1 *n2  *n3

               2   10   6   10   5        2   10   6   8   7
       + 20*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2 *n3

              2   10   4   14   3         2   10   4   12   5
       + 4*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3

              2   10   4   10   7        2   10   2   14   5
       + 8*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3

              2   10   2   12   7      2        2   11   12   6   2
       + 4*a33 *m2  *n1 *n2  *n3 ) + u1 *v1*(a33 *m1  *n1  *n2 *n3

              2   11   12   4   4        2   11   12   2   6
       - 4*a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

              2   11   10   8   2         2   11   10   6   4
       + 4*a33 *m1  *n1  *n2 *n3  - 16*a33 *m1  *n1  *n2 *n3

               2   11   10   4   6        2   11   8   10   2
       + 16*a33 *m1  *n1  *n2 *n3  + 3*a33 *m1  *n1 *n2  *n3

               2   11   8   8   4         2   11   8   6   6
       - 12*a33 *m1  *n1 *n2 *n3  + 12*a33 *m1  *n1 *n2 *n3

            2   10      13   7        2   10      13   5   2
       + a33 *m1  *m2*n1  *n2  - 8*a33 *m1  *m2*n1  *n2 *n3

               2   10      13   3   4        2   10      13      6
       + 16*a33 *m1  *m2*n1  *n2 *n3  - 8*a33 *m1  *m2*n1  *n2*n3

              2   10      11   9         2   10      11   7   2
       + 5*a33 *m1  *m2*n1  *n2  - 32*a33 *m1  *m2*n1  *n2 *n3

               2   10      11   5   4        2   10      11   3   6
       + 48*a33 *m1  *m2*n1  *n2 *n3  - 8*a33 *m1  *m2*n1  *n2 *n3

              2   10      9   11         2   10      9   9   2
       + 7*a33 *m1  *m2*n1 *n2   - 18*a33 *m1  *m2*n1 *n2 *n3

               2   10      9   7   4         2   10      9   5   6
       - 40*a33 *m1  *m2*n1 *n2 *n3  + 96*a33 *m1  *m2*n1 *n2 *n3

              2   10      7   13        2   10      7   11   2
       + 3*a33 *m1  *m2*n1 *n2   + 6*a33 *m1  *m2*n1 *n2  *n3

               2   10      7   9   4         2   10      7   7   6
       - 72*a33 *m1  *m2*n1 *n2 *n3  + 96*a33 *m1  *m2*n1 *n2 *n3

              2   9   2   14   6         2   9   2   14   4   2
       - 4*a33 *m1 *m2 *n1  *n2  + 18*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   14   2   4        2   9   2   14   6
       - 20*a33 *m1 *m2 *n1  *n2 *n3  + 4*a33 *m1 *m2 *n1  *n3

               2   9   2   12   8         2   9   2   12   6   2
       - 17*a33 *m1 *m2 *n1  *n2  + 52*a33 *m1 *m2 *n1  *n2 *n3

              2   9   2   12   4   4         2   9   2   12   2   6
       - 8*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2 *n3

              2   9   2   10   10         2   9   2   10   8   2
       - 7*a33 *m1 *m2 *n1  *n2   - 87*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   10   6   4          2   9   2   10   4   6
       + 316*a33 *m1 *m2 *n1  *n2 *n3  - 180*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   8   12          2   9   2   8   10   2
       + 21*a33 *m1 *m2 *n1 *n2   - 148*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   8   8   4          2   9   2   8   6   6
       + 136*a33 *m1 *m2 *n1 *n2 *n3  + 192*a33 *m1 *m2 *n1 *n2 *n3

               2   9   2   6   14         2   9   2   6   12   2
       + 15*a33 *m1 *m2 *n1 *n2   - 27*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   6   10   4          2   9   2   6   8   6
       - 168*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

              2   8   3   15   5         2   8   3   15   3   2
       + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

              2   8   3   15      4         2   8   3   13   7
       + 8*a33 *m1 *m2 *n1  *n2*n3  + 18*a33 *m1 *m2 *n1  *n2

              2   8   3   13   5   2         2   8   3   13   3   4
       - 4*a33 *m1 *m2 *n1  *n2 *n3  - 64*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   13      6         2   8   3   11   9
       + 24*a33 *m1 *m2 *n1  *n2*n3  - 42*a33 *m1 *m2 *n1  *n2

                2   8   3   11   7   2          2   8   3   11   5   4
       + 324*a33 *m1 *m2 *n1  *n2 *n3  - 408*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   11   3   6         2   8   3   9   11
       + 24*a33 *m1 *m2 *n1  *n2 *n3  - 84*a33 *m1 *m2 *n1 *n2

                2   8   3   9   9   2          2   8   3   9   7   4
       + 146*a33 *m1 *m2 *n1 *n2 *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   9   5   6          2   8   3   7   11   2
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 286*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   7   9   4         2   8   3   5   15
       + 728*a33 *m1 *m2 *n1 *n2 *n3  + 30*a33 *m1 *m2 *n1 *n2

                2   8   3   5   13   2          2   8   3   5   11   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   5   9   6        2   7   4   16   4
       + 672*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

              2   7   4   16   2   2        2   7   4   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3  - 2*a33 *m1 *m2 *n1  *n2

               2   7   4   14   4   2         2   7   4   14   2   4
       - 40*a33 *m1 *m2 *n1  *n2 *n3  + 40*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   12   8          2   7   4   12   6   2
       + 98*a33 *m1 *m2 *n1  *n2  - 315*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   12   4   4         2   7   4   12   2   6
       + 88*a33 *m1 *m2 *n1  *n2 *n3  + 48*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   10   10          2   7   4   10   8   2
       + 56*a33 *m1 *m2 *n1  *n2   + 440*a33 *m1 *m2 *n1  *n2 *n3

                 2   7   4   10   6   4          2   7   4   10   4   6
       - 1296*a33 *m1 *m2 *n1  *n2 *n3  + 384*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   8   12          2   7   4   8   10   2
       - 140*a33 *m1 *m2 *n1 *n2   + 785*a33 *m1 *m2 *n1 *n2  *n3

               2   7   4   8   8   4           2   7   4   8   6   6
       - 56*a33 *m1 *m2 *n1 *n2 *n3  - 1176*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   6   14          2   7   4   6   12   2
       - 70*a33 *m1 *m2 *n1 *n2   - 120*a33 *m1 *m2 *n1 *n2  *n3

                 2   7   4   6   10   4          2   7   4   6   8   6
       + 1288*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   4   16          2   7   4   4   14   2
       + 30*a33 *m1 *m2 *n1 *n2   - 195*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   4   10   6      2   6   5   17   3
       + 840*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

              2   6   5   15   5         2   6   5   15   3   2
       - 7*a33 *m1 *m2 *n1  *n2  + 20*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   13   7         2   6   5   13   5   2
       - 77*a33 *m1 *m2 *n1  *n2  + 78*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   13   3   4         2   6   5   11   9
       + 56*a33 *m1 *m2 *n1  *n2 *n3  + 91*a33 *m1 *m2 *n1  *n2

                2   6   5   11   7   2          2   6   5   11   5   4
       - 806*a33 *m1 *m2 *n1  *n2 *n3  + 728*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   9   11          2   6   5   9   9   2
       + 245*a33 *m1 *m2 *n1 *n2   - 244*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   5   9   7   4           2   6   5   9   5   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   7   13           2   6   5   7   11   2
       - 35*a33 *m1 *m2 *n1 *n2   + 1056*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   7   9   4           2   6   5   7   7   6
       - 1456*a33 *m1 *m2 *n1 *n2 *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

                2   6   5   5   15          2   6   5   5   13   2
       - 105*a33 *m1 *m2 *n1 *n2   + 274*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   5   11   4           2   6   5   5   9   6
       + 1064*a33 *m1 *m2 *n1 *n2  *n3  - 1344*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   3   17          2   6   5   3   15   2
       + 15*a33 *m1 *m2 *n1 *n2   - 162*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   3   13   4          2   6   5   3   11   6
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   16   4         2   5   6   14   6
       + 3*a33 *m1 *m2 *n1  *n2  + 21*a33 *m1 *m2 *n1  *n2

               2   5   6   14   4   2          2   5   6   12   8
       + 15*a33 *m1 *m2 *n1  *n2 *n3  - 147*a33 *m1 *m2 *n1  *n2

                2   5   6   12   6   2         2   5   6   12   4   4
       + 412*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   10   10          2   5   6   10   8   2
       - 105*a33 *m1 *m2 *n1  *n2   - 713*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   10   6   4          2   5   6   10   4   6
       + 1456*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   8   12           2   5   6   8   10   2
       + 231*a33 *m1 *m2 *n1 *n2   - 1128*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   8   8   4           2   5   6   8   6   6
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 1344*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   6   14          2   5   6   6   12   2
       + 105*a33 *m1 *m2 *n1 *n2   + 463*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   6   10   4          2   5   6   6   8   6
       - 2072*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   4   16          2   5   6   4   14   2
       - 63*a33 *m1 *m2 *n1 *n2   + 412*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   4   12   4           2   5   6   4   10   6
       + 280*a33 *m1 *m2 *n1 *n2  *n3  - 1344*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   2   18         2   5   6   2   16   2
       + 3*a33 *m1 *m2 *n1 *n2   - 69*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   2   14   4          2   5   6   2   12   6
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   13   7         2   4   7   13   5   2
       + 70*a33 *m1 *m2 *n1  *n2  - 50*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   11   9          2   4   7   11   7   2
       - 70*a33 *m1 *m2 *n1  *n2  + 610*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   11   5   4          2   4   7   9   11
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2

               2   4   7   9   9   2           2   4   7   9   7   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3  + 1400*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   9   5   6         2   4   7   7   13
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 28*a33 *m1 *m2 *n1 *n2

                 2   4   7   7   11   2          2   4   7   7   9   4
       - 1028*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

                 2   4   7   7   7   6         2   4   7   5   15
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 98*a33 *m1 *m2 *n1 *n2

                2   4   7   5   13   2           2   4   7   5   11   4
       - 182*a33 *m1 *m2 *n1 *n2  *n3  - 1264*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   5   9   6         2   4   7   3   17
       + 480*a33 *m1 *m2 *n1 *n2 *n3  - 14*a33 *m1 *m2 *n1 *n2

                2   4   7   3   15   2          2   4   7   3   13   4
       + 222*a33 *m1 *m2 *n1 *n2  *n3  - 184*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   3   11   6         2   4   7      17   2
       - 768*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1*n2  *n3

               2   4   7      15   4         2   4   7      13   6
       + 72*a33 *m1 *m2 *n1*n2  *n3  + 96*a33 *m1 *m2 *n1*n2  *n3

               2   3   8   14   6         2   3   8   12   8
       - 10*a33 *m1 *m2 *n1  *n2  + 70*a33 *m1 *m2 *n1  *n2

                2   3   8   12   6   2         2   3   8   10   10
       - 125*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2

                2   3   8   10   8   2          2   3   8   10   6   4
       + 384*a33 *m1 *m2 *n1  *n2 *n3  - 392*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   8   12          2   3   8   8   10   2
       - 112*a33 *m1 *m2 *n1 *n2   + 491*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   8   8   4          2   3   8   8   6   6
       + 616*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   6   14          2   3   8   6   12   2
       - 62*a33 *m1 *m2 *n1 *n2   - 296*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   6   10   4          2   3   8   6   8   6
       + 912*a33 *m1 *m2 *n1 *n2  *n3  + 384*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   4   16          2   3   8   4   14   2
       + 26*a33 *m1 *m2 *n1 *n2   - 234*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   4   12   4          2   3   8   4   10   6
       - 260*a33 *m1 *m2 *n1 *n2  *n3  + 468*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   2   16   2          2   3   8   2   14   4
       + 44*a33 *m1 *m2 *n1 *n2  *n3  - 152*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   2   12   6         2   3   8   16   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3  + 12*a33 *m1 *m2 *n2  *n3

               2   3   8   14   6         2   2   9   13   7
       + 12*a33 *m1 *m2 *n2  *n3  - 15*a33 *m1 *m2 *n1  *n2

               2   2   9   11   9          2   2   9   11   7   2
       + 21*a33 *m1 *m2 *n1  *n2  - 120*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   9   11         2   2   9   9   9   2
       + 63*a33 *m1 *m2 *n1 *n2   + 50*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   9   7   4        2   2   9   7   13
       - 280*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                2   2   9   7   11   2        2   2   9   7   9   4
       + 290*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   7   7   6         2   2   9   5   15
       - 192*a33 *m1 *m2 *n1 *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

               2   2   9   5   13   2          2   2   9   5   11   4
       + 60*a33 *m1 *m2 *n1 *n2  *n3  + 384*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   5   9   6         2   2   9   3   15   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3  - 60*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   3   13   4          2   2   9   3   11   6
       + 64*a33 *m1 *m2 *n1 *n2  *n3  + 184*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9      15   4         2   2   9      13   6
       - 32*a33 *m1 *m2 *n1*n2  *n3  - 32*a33 *m1 *m2 *n1*n2  *n3

              2      10   12   8        2      10   10   10
       - 9*a33 *m1*m2  *n1  *n2  - 7*a33 *m1*m2  *n1  *n2

               2      10   10   8   2         2      10   8   12
       - 55*a33 *m1*m2  *n1  *n2 *n3  + 13*a33 *m1*m2  *n1 *n2

               2      10   8   10   2          2      10   8   8   4
       - 52*a33 *m1*m2  *n1 *n2  *n3  - 104*a33 *m1*m2  *n1 *n2 *n3

               2      10   6   14         2      10   6   12   2
       + 11*a33 *m1*m2  *n1 *n2   + 39*a33 *m1*m2  *n1 *n2  *n3

               2      10   6   10   4         2      10   6   8   6
       - 92*a33 *m1*m2  *n1 *n2  *n3  - 60*a33 *m1*m2  *n1 *n2 *n3

               2      10   4   14   2         2      10   4   12   4
       + 36*a33 *m1*m2  *n1 *n2  *n3  + 40*a33 *m1*m2  *n1 *n2  *n3

               2      10   4   10   6         2      10   2   14   4
       - 32*a33 *m1*m2  *n1 *n2  *n3  + 28*a33 *m1*m2  *n1 *n2  *n3

               2      10   2   12   6        2   11   11   9
       + 28*a33 *m1*m2  *n1 *n2  *n3  - 2*a33 *m2  *n1  *n2

              2   11   9   11         2   11   9   9   2        2   11   7   13
       - 4*a33 *m2  *n1 *n2   - 10*a33 *m2  *n1 *n2 *n3  - 2*a33 *m2  *n1 *n2

               2   11   7   11   2         2   11   7   9   4
       - 18*a33 *m2  *n1 *n2  *n3  - 16*a33 *m2  *n1 *n2 *n3

              2   11   5   13   2         2   11   5   11   4
       - 8*a33 *m2  *n1 *n2  *n3  - 24*a33 *m2  *n1 *n2  *n3

              2   11   5   9   6        2   11   3   13   4
       - 8*a33 *m2  *n1 *n2 *n3  - 8*a33 *m2  *n1 *n2  *n3

              2   11   3   11   6      2             2   11   11   7   2
       - 8*a33 *m2  *n1 *n2  *n3 ) + u1 *v2*( - 2*a33 *m1  *n1  *n2 *n3

              2   11   11   5   4        2   11   11   3   6
       + 8*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   11   9   9   2        2   11   9   7   4
       - 2*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   11   9   5   6        2   10      12   8
       - 8*a33 *m1  *n1 *n2 *n3  - 2*a33 *m1  *m2*n1  *n2

               2   10      12   6   2         2   10      12   4   4
       + 19*a33 *m1  *m2*n1  *n2 *n3  - 44*a33 *m1  *m2*n1  *n2 *n3

               2   10      12   2   6        2   10      10   10
       + 28*a33 *m1  *m2*n1  *n2 *n3  - 4*a33 *m1  *m2*n1  *n2

               2   10      10   8   2         2   10      10   4   6
       + 16*a33 *m1  *m2*n1  *n2 *n3  - 32*a33 *m1  *m2*n1  *n2 *n3

              2   10      8   12        2   10      8   10   2
       - 2*a33 *m1  *m2*n1 *n2   - 3*a33 *m1  *m2*n1 *n2  *n3

               2   10      8   8   4         2   10      8   6   6
       + 44*a33 *m1  *m2*n1 *n2 *n3  - 60*a33 *m1  *m2*n1 *n2 *n3

               2   9   2   13   7         2   9   2   13   5   2
       + 11*a33 *m1 *m2 *n1  *n2  - 60*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   13   3   4         2   9   2   13      6
       + 88*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2*n3

               2   9   2   11   9         2   9   2   11   7   2
       + 13*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   11   5   4          2   9   2   11   3   6
       - 176*a33 *m1 *m2 *n1  *n2 *n3  + 184*a33 *m1 *m2 *n1  *n2 *n3

              2   9   2   9   11         2   9   2   9   9   2
       - 7*a33 *m1 *m2 *n1 *n2   + 90*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   9   7   4         2   9   2   9   5   6
       - 176*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2 *n3

              2   9   2   7   13         2   9   2   7   11   2
       - 9*a33 *m1 *m2 *n1 *n2   + 20*a33 *m1 *m2 *n1 *n2  *n3

               2   9   2   7   9   4          2   9   2   7   7   6
       + 88*a33 *m1 *m2 *n1 *n2 *n3  - 192*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   14   6         2   8   3   14   4   2
       - 24*a33 *m1 *m2 *n1  *n2  + 86*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   14   2   4         2   8   3   14   6
       - 76*a33 *m1 *m2 *n1  *n2 *n3  + 12*a33 *m1 *m2 *n1  *n3

              2   8   3   12   8          2   8   3   12   6   2
       + 3*a33 *m1 *m2 *n1  *n2  - 196*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   12   4   4          2   8   3   12   2   6
       + 488*a33 *m1 *m2 *n1  *n2 *n3  - 240*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   10   10          2   8   3   10   8   2
       + 63*a33 *m1 *m2 *n1  *n2   - 249*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   10   6   4          2   8   3   10   4   6
       - 60*a33 *m1 *m2 *n1  *n2 *n3  + 468*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   8   12          2   8   3   8   10   2
       + 21*a33 *m1 *m2 *n1 *n2   + 104*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   8   8   4          2   8   3   8   6   6
       - 568*a33 *m1 *m2 *n1 *n2 *n3  + 384*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   6   14         2   8   3   6   12   2
       - 15*a33 *m1 *m2 *n1 *n2   + 71*a33 *m1 *m2 *n1 *n2  *n3

               2   8   3   6   10   4          2   8   3   6   8   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   15   5         2   7   4   15   3   2
       + 26*a33 *m1 *m2 *n1  *n2  - 58*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   15      4         2   7   4   13   7
       + 24*a33 *m1 *m2 *n1  *n2*n3  - 62*a33 *m1 *m2 *n1  *n2

                2   7   4   13   5   2          2   7   4   13   3   4
       + 398*a33 *m1 *m2 *n1  *n2 *n3  - 488*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   13      6          2   7   4   11   9
       + 96*a33 *m1 *m2 *n1  *n2*n3  - 112*a33 *m1 *m2 *n1  *n2

               2   7   4   11   7   2          2   7   4   11   5   4
       + 12*a33 *m1 *m2 *n1  *n2 *n3  + 976*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   11   3   6         2   7   4   9   11
       - 768*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2

                2   7   4   9   9   2          2   7   4   9   7   4
       - 652*a33 *m1 *m2 *n1 *n2 *n3  + 816*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   9   5   6         2   7   4   7   13
       + 480*a33 *m1 *m2 *n1 *n2 *n3  + 70*a33 *m1 *m2 *n1 *n2

                2   7   4   7   11   2          2   7   4   7   9   4
       - 118*a33 *m1 *m2 *n1 *n2  *n3  - 728*a33 *m1 *m2 *n1 *n2 *n3

                 2   7   4   7   7   6         2   7   4   5   15
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   7   4   5   13   2         2   7   4   5   11   4
       + 90*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   5   9   6         2   6   5   16   4
       - 336*a33 *m1 *m2 *n1 *n2 *n3  - 14*a33 *m1 *m2 *n1  *n2

               2   6   5   16   2   2         2   6   5   14   6
       + 15*a33 *m1 *m2 *n1  *n2 *n3  + 98*a33 *m1 *m2 *n1  *n2

                2   6   5   14   4   2          2   6   5   14   2   4
       - 316*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   12   8          2   6   5   12   6   2
       + 28*a33 *m1 *m2 *n1  *n2  + 603*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   5   12   4   4          2   6   5   12   2   6
       - 1288*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   10   10          2   6   5   10   8   2
       - 224*a33 *m1 *m2 *n1  *n2   + 832*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   10   6   4           2   6   5   10   4   6
       + 560*a33 *m1 *m2 *n1  *n2 *n3  - 1344*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   8   12          2   6   5   8   10   2
       - 70*a33 *m1 *m2 *n1 *n2   - 517*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   8   8   4          2   6   5   8   6   6
       + 1848*a33 *m1 *m2 *n1 *n2 *n3  - 168*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   6   14          2   6   5   6   12   2
       + 70*a33 *m1 *m2 *n1 *n2   - 372*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   6   10   4           2   6   5   6   8   6
       - 280*a33 *m1 *m2 *n1 *n2  *n3  + 1344*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   4   14   2          2   6   5   4   12   4
       + 43*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   4   10   6        2   5   6   17   3
       - 168*a33 *m1 *m2 *n1 *n2  *n3  + 3*a33 *m1 *m2 *n1  *n2

               2   5   6   15   5         2   5   6   15   3   2
       - 63*a33 *m1 *m2 *n1  *n2  + 90*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   13   7          2   5   6   13   5   2
       + 105*a33 *m1 *m2 *n1  *n2  - 678*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   13   3   4          2   5   6   11   9
       + 504*a33 *m1 *m2 *n1  *n2 *n3  + 231*a33 *m1 *m2 *n1  *n2

               2   5   6   11   7   2           2   5   6   11   5   4
       + 76*a33 *m1 *m2 *n1  *n2 *n3  - 1736*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   11   3   6          2   5   6   9   11
       + 672*a33 *m1 *m2 *n1  *n2 *n3  - 105*a33 *m1 *m2 *n1 *n2

                 2   5   6   9   9   2          2   5   6   9   7   4
       + 1324*a33 *m1 *m2 *n1 *n2 *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   6   9   5   6          2   5   6   7   13
       - 1344*a33 *m1 *m2 *n1 *n2 *n3  - 147*a33 *m1 *m2 *n1 *n2

                2   5   6   7   11   2           2   5   6   7   9   4
       + 174*a33 *m1 *m2 *n1 *n2  *n3  + 1680*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   6   7   7   6         2   5   6   5   15
       - 1008*a33 *m1 *m2 *n1 *n2 *n3  + 21*a33 *m1 *m2 *n1 *n2

                2   5   6   5   13   2          2   5   6   5   11   4
       - 314*a33 *m1 *m2 *n1 *n2  *n3  + 280*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   5   9   6        2   5   6   3   17
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

              2   5   6   3   15   2         2   5   6   3   13   4
       - 8*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   16   4          2   4   7   14   6
       + 15*a33 *m1 *m2 *n1  *n2  - 105*a33 *m1 *m2 *n1  *n2

                2   4   7   14   4   2         2   4   7   12   8
       + 225*a33 *m1 *m2 *n1  *n2 *n3  - 35*a33 *m1 *m2 *n1  *n2

                2   4   7   12   6   2          2   4   7   12   4   4
       - 680*a33 *m1 *m2 *n1  *n2 *n3  + 840*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   10   10          2   4   7   10   8   2
       + 245*a33 *m1 *m2 *n1  *n2   - 755*a33 *m1 *m2 *n1  *n2 *n3

                 2   4   7   10   6   4          2   4   7   10   4   6
       - 1120*a33 *m1 *m2 *n1  *n2 *n3  + 840*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   8   12          2   4   7   8   10   2
       + 91*a33 *m1 *m2 *n1 *n2   + 720*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   8   8   4          2   4   7   8   6   6
       - 1792*a33 *m1 *m2 *n1 *n2 *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   6   14          2   4   7   6   12   2
       - 77*a33 *m1 *m2 *n1 *n2   + 505*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   6   10   4           2   4   7   6   8   6
       + 504*a33 *m1 *m2 *n1 *n2  *n3  - 1176*a33 *m1 *m2 *n1 *n2 *n3

              2   4   7   4   16         2   4   7   4   14   2
       - 7*a33 *m1 *m2 *n1 *n2   - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   4   12   4          2   4   7   4   10   6
       + 344*a33 *m1 *m2 *n1 *n2  *n3  + 384*a33 *m1 *m2 *n1 *n2  *n3

            2   4   7   2   18         2   4   7   2   16   2
       + a33 *m1 *m2 *n1 *n2   - 15*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   2   14   4         2   4   7   2   12   6
       + 8*a33 *m1 *m2 *n1 *n2  *n3  + 48*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   15   5         2   3   8   13   7
       + 30*a33 *m1 *m2 *n1  *n2  - 70*a33 *m1 *m2 *n1  *n2

                2   3   8   13   5   2          2   3   8   11   9
       + 300*a33 *m1 *m2 *n1  *n2 *n3  - 140*a33 *m1 *m2 *n1  *n2

                2   3   8   11   7   2          2   3   8   11   5   4
       - 230*a33 *m1 *m2 *n1  *n2 *n3  + 840*a33 *m1 *m2 *n1  *n2 *n3

               2   3   8   9   11          2   3   8   9   9   2
       + 56*a33 *m1 *m2 *n1 *n2   - 834*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   9   7   4          2   3   8   9   5   6
       - 56*a33 *m1 *m2 *n1 *n2 *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   7   13         2   3   8   7   11   2
       + 98*a33 *m1 *m2 *n1 *n2   - 76*a33 *m1 *m2 *n1 *n2  *n3

                 2   3   8   7   9   4        2   3   8   5   15
       - 1232*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1 *n2

                2   3   8   5   13   2          2   3   8   5   11   4
       + 256*a33 *m1 *m2 *n1 *n2  *n3  - 240*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   5   9   6        2   3   8   3   17
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

               2   3   8   3   15   2          2   3   8   3   13   4
       + 24*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   3   11   6        2   3   8      17   2
       + 24*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   8      15   4         2   3   8      13   6
       + 16*a33 *m1 *m2 *n1*n2  *n3  + 24*a33 *m1 *m2 *n1*n2  *n3

               2   2   9   14   6          2   2   9   12   6   2
       + 30*a33 *m1 *m2 *n1  *n2  + 225*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   10   10          2   2   9   10   8   2
       - 84*a33 *m1 *m2 *n1  *n2   + 132*a33 *m1 *m2 *n1  *n2 *n3

                2   2   9   10   6   4         2   2   9   8   12
       + 504*a33 *m1 *m2 *n1  *n2 *n3  - 42*a33 *m1 *m2 *n1 *n2

                2   2   9   8   10   2          2   2   9   8   8   4
       - 307*a33 *m1 *m2 *n1 *n2  *n3  + 392*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   8   6   6         2   2   9   6   14
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2

                2   2   9   6   12   2          2   2   9   6   10   4
       - 208*a33 *m1 *m2 *n1 *n2  *n3  - 304*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   6   8   6        2   2   9   4   16
       + 192*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

               2   2   9   4   14   2          2   2   9   4   12   4
       + 18*a33 *m1 *m2 *n1 *n2  *n3  - 204*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   4   10   6         2   2   9   2   16   2
       - 180*a33 *m1 *m2 *n1 *n2  *n3  + 12*a33 *m1 *m2 *n1 *n2  *n3

              2   2   9   2   14   4         2   2   9   2   12   6
       - 8*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

              2   2   9   16   4        2   2   9   14   6
       + 4*a33 *m1 *m2 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

               2      10   13   7         2      10   11   9
       + 15*a33 *m1*m2  *n1  *n2  + 21*a33 *m1*m2  *n1  *n2

               2      10   11   7   2        2      10   9   11
       + 90*a33 *m1*m2  *n1  *n2 *n3  - 7*a33 *m1*m2  *n1 *n2

                2      10   9   9   2          2      10   9   7   4
       + 134*a33 *m1*m2  *n1 *n2 *n3  + 168*a33 *m1*m2  *n1 *n2 *n3

               2      10   7   13        2      10   7   11   2
       - 17*a33 *m1*m2  *n1 *n2   + 8*a33 *m1*m2  *n1 *n2  *n3

                2      10   7   9   4         2      10   7   7   6
       + 232*a33 *m1*m2  *n1 *n2 *n3  + 96*a33 *m1*m2  *n1 *n2 *n3

              2      10   5   15         2      10   5   13   2
       - 4*a33 *m1*m2  *n1 *n2   - 48*a33 *m1*m2  *n1 *n2  *n3

               2      10   5   11   4         2      10   5   9   6
       + 40*a33 *m1*m2  *n1 *n2  *n3  + 96*a33 *m1*m2  *n1 *n2 *n3

               2      10   3   15   2         2      10   3   13   4
       - 12*a33 *m1*m2  *n1 *n2  *n3  - 32*a33 *m1*m2  *n1 *n2  *n3

              2      10   3   11   6        2      10      15   4
       - 8*a33 *m1*m2  *n1 *n2  *n3  - 8*a33 *m1*m2  *n1*n2  *n3

              2      10      13   6        2   11   12   8
       - 8*a33 *m1*m2  *n1*n2  *n3  + 3*a33 *m2  *n1  *n2

              2   11   10   10         2   11   10   8   2
       + 7*a33 *m2  *n1  *n2   + 15*a33 *m2  *n1  *n2 *n3

              2   11   8   12         2   11   8   10   2
       + 5*a33 *m2  *n1 *n2   + 32*a33 *m2  *n1 *n2  *n3

               2   11   8   8   4      2   11   6   14
       + 24*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

               2   11   6   12   2         2   11   6   10   4
       + 21*a33 *m2  *n1 *n2  *n3  + 44*a33 *m2  *n1 *n2  *n3

               2   11   6   8   6        2   11   4   14   2
       + 12*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

               2   11   4   12   4         2   11   4   10   6
       + 24*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3

              2   11   2   14   4        2   11   2   12   6         2
       + 4*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3 ) + u1*u2 *(

         2   10   13   6   2        2   10   13   4   4
      a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              2   10   13   2   6        2   10   11   8   2
       + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

              2   10   11   6   4        2   10   11   4   6
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

            2   10   9   10   2        2   10   9   8   4
       + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

              2   10   9   6   6      2   9      14   7
       + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2

              2   9      14   5   2         2   9      14   3   4
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      14      6        2   9      12   9
       - 8*a33 *m1 *m2*n1  *n2*n3  + 3*a33 *m1 *m2*n1  *n2

               2   9      12   7   2        2   9      12   5   4
       - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      12   3   6        2   9      10   11
       + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1  *n2

              2   9      10   9   2         2   9      10   7   4
       - 4*a33 *m1 *m2*n1  *n2 *n3  - 32*a33 *m1 *m2*n1  *n2 *n3

               2   9      10   5   6      2   9      8   13
       + 56*a33 *m1 *m2*n1  *n2 *n3  + a33 *m1 *m2*n1 *n2

              2   9      8   11   2         2   9      8   9   4
       + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2 *n3

               2   9      8   7   6        2   8   2   15   6
       + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

               2   8   2   15   4   2         2   8   2   15   2   4
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   15   6        2   8   2   13   8
       + 4*a33 *m1 *m2 *n1  *n3  - 7*a33 *m1 *m2 *n1  *n2

               2   8   2   13   4   4         2   8   2   13   2   6
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   11   10         2   8   2   11   8   2
       + 3*a33 *m1 *m2 *n1  *n2   - 63*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   11   6   4         2   8   2   11   4   6
       + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   9   12         2   8   2   9   10   2
       + 11*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

              2   8   2   9   8   4          2   8   2   9   6   6
       - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   8   2   7   14        2   8   2   7   12   2
       + 5*a33 *m1 *m2 *n1 *n2   - 9*a33 *m1 *m2 *n1 *n2  *n3

               2   8   2   7   10   4          2   8   2   7   8   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   3   16   5         2   7   3   16   3   2
       + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

              2   7   3   16      4        2   7   3   14   7
       + 8*a33 *m1 *m2 *n1  *n2*n3  - 2*a33 *m1 *m2 *n1  *n2

               2   7   3   14   5   2          2   7   3   14   3   4
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   14      6         2   7   3   12   9
       + 32*a33 *m1 *m2 *n1  *n2*n3  - 32*a33 *m1 *m2 *n1  *n2

                2   7   3   12   7   2         2   7   3   12   5   4
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   12   3   6         2   7   3   10   11
       - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

               2   7   3   10   9   2          2   7   3   10   7   4
       - 40*a33 *m1 *m2 *n1  *n2 *n3  + 368*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   10   5   6         2   7   3   8   13
       - 192*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   7   3   8   11   2          2   7   3   8   9   4
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   8   7   6         2   7   3   6   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               2   7   3   6   13   2         2   7   3   6   11   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   6   9   6        2   6   4   17   4
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

              2   6   4   17   2   2         2   6   4   15   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2

               2   6   4   15   4   2         2   6   4   15   2   4
       - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   13   8         2   6   4   13   6   2
       + 38*a33 *m1 *m2 *n1  *n2  + 19*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   13   4   4          2   6   4   13   2   6
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   11   10          2   6   4   11   8   2
       - 24*a33 *m1 *m2 *n1  *n2   + 324*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   11   6   4          2   6   4   11   4   6
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   9   12          2   6   4   9   10   2
       - 60*a33 *m1 *m2 *n1 *n2   + 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   9   8   4          2   6   4   9   6   6
       + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   7   14          2   6   4   7   12   2
       - 10*a33 *m1 *m2 *n1 *n2   - 110*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   7   10   4          2   6   4   7   8   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   5   16         2   6   4   5   14   2
       + 10*a33 *m1 *m2 *n1 *n2   - 65*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   5   10   6      2   5   5   18   3
       + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

               2   5   5   16   5         2   5   5   16   3   2
       - 17*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

              2   5   5   14   7          2   5   5   14   5   2
       + 3*a33 *m1 *m2 *n1  *n2  - 156*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   14   3   4         2   5   5   12   9
       + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2

                2   5   5   12   7   2          2   5   5   12   5   4
       - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   12   3   6         2   5   5   10   11
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1  *n2

                2   5   5   10   9   2          2   5   5   10   7   4
       + 264*a33 *m1 *m2 *n1  *n2 *n3  - 784*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   10   5   6         2   5   5   8   13
       - 112*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2

                2   5   5   8   11   2          2   5   5   8   7   6
       + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   5   5   6   15         2   5   5   6   13   2
       - 25*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   6   11   4          2   5   5   6   9   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   5   5   4   17         2   5   5   4   15   2
       + 5*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

               2   5   5   4   13   4          2   5   5   4   11   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

              2   4   6   17   4         2   4   6   15   6
       + 5*a33 *m1 *m2 *n1  *n2  - 25*a33 *m1 *m2 *n1  *n2

               2   4   6   15   4   2         2   4   6   13   8
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2

                2   4   6   13   6   2          2   4   6   13   4   4
       - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   11   10          2   4   6   11   8   2
       + 45*a33 *m1 *m2 *n1  *n2   - 415*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   11   4   6         2   4   6   9   12
       + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2

               2   4   6   9   10   2          2   4   6   9   8   4
       - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   6   9   6   6        2   4   6   7   14
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                2   4   6   7   12   2          2   4   6   7   10   4
       + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   7   8   6         2   4   6   5   16
       - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2

               2   4   6   5   14   2          2   4   6   5   12   4
       + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   5   10   6      2   4   6   3   18
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2

               2   4   6   3   16   2         2   4   6   3   14   4
       - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   3   12   6         2   3   7   16   5
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   3   7   14   7          2   3   7   14   5   2
       - 10*a33 *m1 *m2 *n1  *n2  + 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   12   9         2   3   7   12   7   2
       - 60*a33 *m1 *m2 *n1  *n2  + 40*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   12   5   4         2   3   7   10   11
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                2   3   7   10   9   2          2   3   7   10   7   4
       - 292*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   10   5   6         2   3   7   8   13
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2

                2   3   7   8   11   2          2   3   7   8   9   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   8   7   6         2   3   7   6   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2

               2   3   7   6   13   2          2   3   7   6   11   4
       + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   6   9   6        2   3   7   4   17
       - 192*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

               2   3   7   4   15   2        2   3   7   4   13   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   4   11   6        2   3   7   2   17   2
       - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   2   15   4         2   3   7   2   13   6
       + 24*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   15   6         2   2   8   13   8
       + 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

               2   2   8   13   6   2         2   2   8   11   10
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                2   2   8   11   8   2          2   2   8   11   6   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   9   12         2   2   8   9   10   2
       - 32*a33 *m1 *m2 *n1 *n2   - 51*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   9   8   4          2   2   8   9   6   6
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   7   14          2   2   8   7   12   2
       - 2*a33 *m1 *m2 *n1 *n2   - 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   7   10   4          2   2   8   7   8   6
       + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   5   16         2   2   8   5   14   2
       + 6*a33 *m1 *m2 *n1 *n2   - 30*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   5   12   4         2   2   8   5   10   6
       - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   3   16   2         2   2   8   3   14   4
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   3   12   6        2   2   8      16   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

              2   2   8      14   6        2      9   14   7
       + 4*a33 *m1 *m2 *n1*n2  *n3  + 5*a33 *m1*m2 *n1  *n2

               2      9   12   9         2      9   12   7   2
       + 11*a33 *m1*m2 *n1  *n2  + 30*a33 *m1*m2 *n1  *n2 *n3

              2      9   10   11         2      9   10   9   2
       + 3*a33 *m1*m2 *n1  *n2   + 68*a33 *m1*m2 *n1  *n2 *n3

               2      9   10   7   4        2      9   8   13
       + 56*a33 *m1*m2 *n1  *n2 *n3  - 7*a33 *m1*m2 *n1 *n2

               2      9   8   11   2          2      9   8   9   4
       + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2 *n3

               2      9   8   7   6        2      9   6   15
       + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2

               2      9   6   13   2         2      9   6   11   4
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

               2      9   6   9   6         2      9   4   15   2
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

              2      9   4   13   4         2      9   4   11   6
       - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

              2      9   2   15   4        2      9   2   13   6
       - 8*a33 *m1*m2 *n1 *n2  *n3  - 8*a33 *m1*m2 *n1 *n2  *n3

            2   10   13   8        2   10   11   10        2   10   11   8   2
       + a33 *m2  *n1  *n2  + 3*a33 *m2  *n1  *n2   + 5*a33 *m2  *n1  *n2 *n3

              2   10   9   12         2   10   9   10   2
       + 3*a33 *m2  *n1 *n2   + 14*a33 *m2  *n1 *n2  *n3

              2   10   9   8   4      2   10   7   14
       + 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

               2   10   7   12   2         2   10   7   10   4
       + 13*a33 *m2  *n1 *n2  *n3  + 20*a33 *m2  *n1 *n2  *n3

              2   10   7   8   6        2   10   5   14   2
       + 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

               2   10   5   12   4        2   10   5   10   6
       + 16*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3

              2   10   3   14   4        2   10   3   12   6
       + 4*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3 ) + u1*u2*v1*(

           2   11   11   7   2        2   11   11   5   4
      2*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   11   11   3   6        2   11   9   9   2
       + 8*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2 *n3

              2   11   9   7   4        2   11   9   5   6
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   10      12   8         2   10      12   6   2
       + 2*a33 *m1  *m2*n1  *n2  - 19*a33 *m1  *m2*n1  *n2 *n3

               2   10      12   4   4         2   10      12   2   6
       + 44*a33 *m1  *m2*n1  *n2 *n3  - 28*a33 *m1  *m2*n1  *n2 *n3

              2   10      10   10         2   10      10   8   2
       + 4*a33 *m1  *m2*n1  *n2   - 16*a33 *m1  *m2*n1  *n2 *n3

               2   10      10   4   6        2   10      8   12
       + 32*a33 *m1  *m2*n1  *n2 *n3  + 2*a33 *m1  *m2*n1 *n2

              2   10      8   10   2         2   10      8   8   4
       + 3*a33 *m1  *m2*n1 *n2  *n3  - 44*a33 *m1  *m2*n1 *n2 *n3

               2   10      8   6   6         2   9   2   13   7
       + 60*a33 *m1  *m2*n1 *n2 *n3  - 11*a33 *m1 *m2 *n1  *n2

               2   9   2   13   5   2         2   9   2   13   3   4
       + 60*a33 *m1 *m2 *n1  *n2 *n3  - 88*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   13      6         2   9   2   11   9
       + 32*a33 *m1 *m2 *n1  *n2*n3  - 13*a33 *m1 *m2 *n1  *n2

               2   9   2   11   7   2          2   9   2   11   5   4
       - 10*a33 *m1 *m2 *n1  *n2 *n3  + 176*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   11   3   6        2   9   2   9   11
       - 184*a33 *m1 *m2 *n1  *n2 *n3  + 7*a33 *m1 *m2 *n1 *n2

               2   9   2   9   9   2          2   9   2   9   7   4
       - 90*a33 *m1 *m2 *n1 *n2 *n3  + 176*a33 *m1 *m2 *n1 *n2 *n3

               2   9   2   9   5   6        2   9   2   7   13
       - 24*a33 *m1 *m2 *n1 *n2 *n3  + 9*a33 *m1 *m2 *n1 *n2

               2   9   2   7   11   2         2   9   2   7   9   4
       - 20*a33 *m1 *m2 *n1 *n2  *n3  - 88*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   7   7   6         2   8   3   14   6
       + 192*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2

               2   8   3   14   4   2         2   8   3   14   2   4
       - 86*a33 *m1 *m2 *n1  *n2 *n3  + 76*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   14   6        2   8   3   12   8
       - 12*a33 *m1 *m2 *n1  *n3  - 3*a33 *m1 *m2 *n1  *n2

                2   8   3   12   6   2          2   8   3   12   4   4
       + 196*a33 *m1 *m2 *n1  *n2 *n3  - 488*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   12   2   6         2   8   3   10   10
       + 240*a33 *m1 *m2 *n1  *n2 *n3  - 63*a33 *m1 *m2 *n1  *n2

                2   8   3   10   8   2         2   8   3   10   6   4
       + 249*a33 *m1 *m2 *n1  *n2 *n3  + 60*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   10   4   6         2   8   3   8   12
       - 468*a33 *m1 *m2 *n1  *n2 *n3  - 21*a33 *m1 *m2 *n1 *n2

                2   8   3   8   10   2          2   8   3   8   8   4
       - 104*a33 *m1 *m2 *n1 *n2  *n3  + 568*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   8   6   6         2   8   3   6   14
       - 384*a33 *m1 *m2 *n1 *n2 *n3  + 15*a33 *m1 *m2 *n1 *n2

               2   8   3   6   12   2         2   8   3   6   10   4
       - 71*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   6   8   6         2   7   4   15   5
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 26*a33 *m1 *m2 *n1  *n2

               2   7   4   15   3   2         2   7   4   15      4
       + 58*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2*n3

               2   7   4   13   7          2   7   4   13   5   2
       + 62*a33 *m1 *m2 *n1  *n2  - 398*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   13   3   4         2   7   4   13      6
       + 488*a33 *m1 *m2 *n1  *n2 *n3  - 96*a33 *m1 *m2 *n1  *n2*n3

                2   7   4   11   9         2   7   4   11   7   2
       + 112*a33 *m1 *m2 *n1  *n2  - 12*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   11   5   4          2   7   4   11   3   6
       - 976*a33 *m1 *m2 *n1  *n2 *n3  + 768*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   9   11          2   7   4   9   9   2
       - 56*a33 *m1 *m2 *n1 *n2   + 652*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   9   7   4          2   7   4   9   5   6
       - 816*a33 *m1 *m2 *n1 *n2 *n3  - 480*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   7   13          2   7   4   7   11   2
       - 70*a33 *m1 *m2 *n1 *n2   + 118*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   7   9   4           2   7   4   7   7   6
       + 728*a33 *m1 *m2 *n1 *n2 *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   5   15         2   7   4   5   13   2
       + 10*a33 *m1 *m2 *n1 *n2   - 90*a33 *m1 *m2 *n1 *n2  *n3

               2   7   4   5   11   4          2   7   4   5   9   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   16   4         2   6   5   16   2   2
       + 14*a33 *m1 *m2 *n1  *n2  - 15*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   14   6          2   6   5   14   4   2
       - 98*a33 *m1 *m2 *n1  *n2  + 316*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   14   2   4         2   6   5   12   8
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 28*a33 *m1 *m2 *n1  *n2

                2   6   5   12   6   2           2   6   5   12   4   4
       - 603*a33 *m1 *m2 *n1  *n2 *n3  + 1288*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   12   2   6          2   6   5   10   10
       - 336*a33 *m1 *m2 *n1  *n2 *n3  + 224*a33 *m1 *m2 *n1  *n2

                2   6   5   10   8   2          2   6   5   10   6   4
       - 832*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   5   10   4   6         2   6   5   8   12
       + 1344*a33 *m1 *m2 *n1  *n2 *n3  + 70*a33 *m1 *m2 *n1 *n2

                2   6   5   8   10   2           2   6   5   8   8   4
       + 517*a33 *m1 *m2 *n1 *n2  *n3  - 1848*a33 *m1 *m2 *n1 *n2 *n3

                2   6   5   8   6   6         2   6   5   6   14
       + 168*a33 *m1 *m2 *n1 *n2 *n3  - 70*a33 *m1 *m2 *n1 *n2

                2   6   5   6   12   2          2   6   5   6   10   4
       + 372*a33 *m1 *m2 *n1 *n2  *n3  + 280*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   6   8   6         2   6   5   4   14   2
       - 1344*a33 *m1 *m2 *n1 *n2 *n3  - 43*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   4   12   4          2   6   5   4   10   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   17   3         2   5   6   15   5
       - 3*a33 *m1 *m2 *n1  *n2  + 63*a33 *m1 *m2 *n1  *n2

               2   5   6   15   3   2          2   5   6   13   7
       - 90*a33 *m1 *m2 *n1  *n2 *n3  - 105*a33 *m1 *m2 *n1  *n2

                2   5   6   13   5   2          2   5   6   13   3   4
       + 678*a33 *m1 *m2 *n1  *n2 *n3  - 504*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   11   9         2   5   6   11   7   2
       - 231*a33 *m1 *m2 *n1  *n2  - 76*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   11   5   4          2   5   6   11   3   6
       + 1736*a33 *m1 *m2 *n1  *n2 *n3  - 672*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   9   11           2   5   6   9   9   2
       + 105*a33 *m1 *m2 *n1 *n2   - 1324*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   9   7   4           2   5   6   9   5   6
       + 896*a33 *m1 *m2 *n1 *n2 *n3  + 1344*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   7   13          2   5   6   7   11   2
       + 147*a33 *m1 *m2 *n1 *n2   - 174*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   7   9   4           2   5   6   7   7   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   5   15          2   5   6   5   13   2
       - 21*a33 *m1 *m2 *n1 *n2   + 314*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   5   11   4           2   5   6   5   9   6
       - 280*a33 *m1 *m2 *n1 *n2  *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

              2   5   6   3   17        2   5   6   3   15   2
       - 3*a33 *m1 *m2 *n1 *n2   + 8*a33 *m1 *m2 *n1 *n2  *n3

               2   5   6   3   13   4         2   4   7   16   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 15*a33 *m1 *m2 *n1  *n2

                2   4   7   14   6          2   4   7   14   4   2
       + 105*a33 *m1 *m2 *n1  *n2  - 225*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   12   8          2   4   7   12   6   2
       + 35*a33 *m1 *m2 *n1  *n2  + 680*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   12   4   4          2   4   7   10   10
       - 840*a33 *m1 *m2 *n1  *n2 *n3  - 245*a33 *m1 *m2 *n1  *n2

                2   4   7   10   8   2           2   4   7   10   6   4
       + 755*a33 *m1 *m2 *n1  *n2 *n3  + 1120*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   10   4   6         2   4   7   8   12
       - 840*a33 *m1 *m2 *n1  *n2 *n3  - 91*a33 *m1 *m2 *n1 *n2

                2   4   7   8   10   2           2   4   7   8   8   4
       - 720*a33 *m1 *m2 *n1 *n2  *n3  + 1792*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   8   6   6         2   4   7   6   14
       + 672*a33 *m1 *m2 *n1 *n2 *n3  + 77*a33 *m1 *m2 *n1 *n2

                2   4   7   6   12   2          2   4   7   6   10   4
       - 505*a33 *m1 *m2 *n1 *n2  *n3  - 504*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   6   8   6        2   4   7   4   16
       + 1176*a33 *m1 *m2 *n1 *n2 *n3  + 7*a33 *m1 *m2 *n1 *n2

               2   4   7   4   14   2          2   4   7   4   12   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3  - 344*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   4   10   6      2   4   7   2   18
       - 384*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1 *n2

               2   4   7   2   16   2        2   4   7   2   14   4
       + 15*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   2   12   6         2   3   8   15   5
       - 48*a33 *m1 *m2 *n1 *n2  *n3  - 30*a33 *m1 *m2 *n1  *n2

               2   3   8   13   7          2   3   8   13   5   2
       + 70*a33 *m1 *m2 *n1  *n2  - 300*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   11   9          2   3   8   11   7   2
       + 140*a33 *m1 *m2 *n1  *n2  + 230*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   11   5   4         2   3   8   9   11
       - 840*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1 *n2

                2   3   8   9   9   2         2   3   8   9   7   4
       + 834*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   9   5   6         2   3   8   7   13
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 98*a33 *m1 *m2 *n1 *n2

               2   3   8   7   11   2           2   3   8   7   9   4
       + 76*a33 *m1 *m2 *n1 *n2  *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

              2   3   8   5   15          2   3   8   5   13   2
       + 2*a33 *m1 *m2 *n1 *n2   - 256*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   5   11   4          2   3   8   5   9   6
       + 240*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

              2   3   8   3   17         2   3   8   3   15   2
       + 4*a33 *m1 *m2 *n1 *n2   - 24*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   3   13   4         2   3   8   3   11   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

              2   3   8      17   2         2   3   8      15   4
       + 4*a33 *m1 *m2 *n1*n2  *n3  - 16*a33 *m1 *m2 *n1*n2  *n3

               2   3   8      13   6         2   2   9   14   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 30*a33 *m1 *m2 *n1  *n2

                2   2   9   12   6   2         2   2   9   10   10
       - 225*a33 *m1 *m2 *n1  *n2 *n3  + 84*a33 *m1 *m2 *n1  *n2

                2   2   9   10   8   2          2   2   9   10   6   4
       - 132*a33 *m1 *m2 *n1  *n2 *n3  - 504*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   8   12          2   2   9   8   10   2
       + 42*a33 *m1 *m2 *n1 *n2   + 307*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   8   8   4          2   2   9   8   6   6
       - 392*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   6   14          2   2   9   6   12   2
       - 18*a33 *m1 *m2 *n1 *n2   + 208*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   6   10   4          2   2   9   6   8   6
       + 304*a33 *m1 *m2 *n1 *n2  *n3  - 192*a33 *m1 *m2 *n1 *n2 *n3

              2   2   9   4   16         2   2   9   4   14   2
       - 6*a33 *m1 *m2 *n1 *n2   - 18*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   4   12   4          2   2   9   4   10   6
       + 204*a33 *m1 *m2 *n1 *n2  *n3  + 180*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   2   16   2        2   2   9   2   14   4
       - 12*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   2   12   6        2   2   9   16   4
       + 32*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

              2   2   9   14   6         2      10   13   7
       - 4*a33 *m1 *m2 *n2  *n3  - 15*a33 *m1*m2  *n1  *n2

               2      10   11   9         2      10   11   7   2
       - 21*a33 *m1*m2  *n1  *n2  - 90*a33 *m1*m2  *n1  *n2 *n3

              2      10   9   11          2      10   9   9   2
       + 7*a33 *m1*m2  *n1 *n2   - 134*a33 *m1*m2  *n1 *n2 *n3

                2      10   9   7   4         2      10   7   13
       - 168*a33 *m1*m2  *n1 *n2 *n3  + 17*a33 *m1*m2  *n1 *n2

              2      10   7   11   2          2      10   7   9   4
       - 8*a33 *m1*m2  *n1 *n2  *n3  - 232*a33 *m1*m2  *n1 *n2 *n3

               2      10   7   7   6        2      10   5   15
       - 96*a33 *m1*m2  *n1 *n2 *n3  + 4*a33 *m1*m2  *n1 *n2

               2      10   5   13   2         2      10   5   11   4
       + 48*a33 *m1*m2  *n1 *n2  *n3  - 40*a33 *m1*m2  *n1 *n2  *n3

               2      10   5   9   6         2      10   3   15   2
       - 96*a33 *m1*m2  *n1 *n2 *n3  + 12*a33 *m1*m2  *n1 *n2  *n3

               2      10   3   13   4        2      10   3   11   6
       + 32*a33 *m1*m2  *n1 *n2  *n3  + 8*a33 *m1*m2  *n1 *n2  *n3

              2      10      15   4        2      10      13   6
       + 8*a33 *m1*m2  *n1*n2  *n3  + 8*a33 *m1*m2  *n1*n2  *n3

              2   11   12   8        2   11   10   10
       - 3*a33 *m2  *n1  *n2  - 7*a33 *m2  *n1  *n2

               2   11   10   8   2        2   11   8   12
       - 15*a33 *m2  *n1  *n2 *n3  - 5*a33 *m2  *n1 *n2

               2   11   8   10   2         2   11   8   8   4
       - 32*a33 *m2  *n1 *n2  *n3  - 24*a33 *m2  *n1 *n2 *n3

            2   11   6   14         2   11   6   12   2
       - a33 *m2  *n1 *n2   - 21*a33 *m2  *n1 *n2  *n3

               2   11   6   10   4         2   11   6   8   6
       - 44*a33 *m2  *n1 *n2  *n3  - 12*a33 *m2  *n1 *n2 *n3

              2   11   4   14   2         2   11   4   12   4
       - 4*a33 *m2  *n1 *n2  *n3  - 24*a33 *m2  *n1 *n2  *n3

               2   11   4   10   6        2   11   2   14   4
       - 16*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3

              2   11   2   12   6                      10   13   7   2
       - 4*a33 *m2  *n1 *n2  *n3 ) + u1*u2*( - 2*a33*m1  *n1  *n2 *n3

                 10   13   5   4           10   13   3   6
       + 8*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 10   11   9   2            10   11   7   4
       - 4*a33*m1  *n1  *n2 *n3  + 16*a33*m1  *n1  *n2 *n3

                  10   11   5   6           10   9   11   2
       - 16*a33*m1  *n1  *n2 *n3  - 2*a33*m1  *n1 *n2  *n3

                 10   9   9   4           10   9   7   6           9      14   8
       + 8*a33*m1  *n1 *n2 *n3  - 8*a33*m1  *n1 *n2 *n3  - 2*a33*m1 *m2*n1  *n2

                  9      14   6   2            9      14   4   4
       + 16*a33*m1 *m2*n1  *n2 *n3  - 32*a33*m1 *m2*n1  *n2 *n3

                  9      14   2   6           9      12   10
       + 16*a33*m1 *m2*n1  *n2 *n3  - 6*a33*m1 *m2*n1  *n2

                  9      12   8   2            9      12   6   4
       + 28*a33*m1 *m2*n1  *n2 *n3  - 16*a33*m1 *m2*n1  *n2 *n3

                  9      12   4   6           9      10   12
       - 32*a33*m1 *m2*n1  *n2 *n3  - 6*a33*m1 *m2*n1  *n2

                 9      10   10   2            9      10   8   4
       + 8*a33*m1 *m2*n1  *n2  *n3  + 64*a33*m1 *m2*n1  *n2 *n3

                   9      10   6   6           9      8   14
       - 112*a33*m1 *m2*n1  *n2 *n3  - 2*a33*m1 *m2*n1 *n2

                 9      8   12   2            9      8   10   4
       - 4*a33*m1 *m2*n1 *n2  *n3  + 48*a33*m1 *m2*n1 *n2  *n3

                  9      8   8   6           8   2   15   7
       - 64*a33*m1 *m2*n1 *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                  8   2   15   5   2            8   2   15   3   4
       - 36*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2 *n3

                 8   2   15      6            8   2   13   9
       - 8*a33*m1 *m2 *n1  *n2*n3  + 14*a33*m1 *m2 *n1  *n2

                   8   2   13   5   4             8   2   13   3   6
       - 128*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                 8   2   11   11             8   2   11   9   2
       - 6*a33*m1 *m2 *n1  *n2   + 126*a33*m1 *m2 *n1  *n2 *n3

                   8   2   11   7   4            8   2   11   5   6
       - 264*a33*m1 *m2 *n1  *n2 *n3  + 24*a33*m1 *m2 *n1  *n2 *n3

                  8   2   9   13             8   2   9   11   2
       - 22*a33*m1 *m2 *n1 *n2   + 108*a33*m1 *m2 *n1 *n2  *n3

                  8   2   9   9   4             8   2   9   7   6
       + 16*a33*m1 *m2 *n1 *n2 *n3  - 320*a33*m1 *m2 *n1 *n2 *n3

                  8   2   7   15            8   2   7   13   2
       - 10*a33*m1 *m2 *n1 *n2   + 18*a33*m1 *m2 *n1 *n2  *n3

                   8   2   7   11   4             8   2   7   9   6
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  7   3   16   6            7   3   16   4   2
       - 12*a33*m1 *m2 *n1  *n2  + 32*a33*m1 *m2 *n1  *n2 *n3

                  7   3   16   2   4           7   3   14   8
       - 16*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n2

                   7   3   14   6   2             7   3   14   4   4
       - 128*a33*m1 *m2 *n1  *n2 *n3  + 240*a33*m1 *m2 *n1  *n2 *n3

                  7   3   14   2   6            7   3   12   10
       - 64*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2

                   7   3   12   8   2            7   3   12   6   4
       - 256*a33*m1 *m2 *n1  *n2 *n3  - 32*a33*m1 *m2 *n1  *n2 *n3

                   7   3   12   4   6            7   3   10   12
       + 320*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2

                  7   3   10   10   2             7   3   10   8   4
       + 80*a33*m1 *m2 *n1  *n2  *n3  - 736*a33*m1 *m2 *n1  *n2 *n3

                   7   3   10   6   6            7   3   8   14
       + 384*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   7   3   8   12   2             7   3   8   10   4
       + 256*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2  *n3

                   7   3   8   8   6            7   3   6   16
       - 448*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                  7   3   6   14   2             7   3   6   12   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   7   3   6   10   6           6   4   17   5
       - 448*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1  *n2

                  6   4   17   3   2            6   4   15   7
       - 10*a33*m1 *m2 *n1  *n2 *n3  - 36*a33*m1 *m2 *n1  *n2

                   6   4   15   5   2             6   4   15   3   4
       + 164*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   13   9            6   4   13   7   2
       - 76*a33*m1 *m2 *n1  *n2  - 38*a33*m1 *m2 *n1  *n2 *n3

                   6   4   13   5   4             6   4   13   3   6
       + 560*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                  6   4   11   11             6   4   11   9   2
       + 48*a33*m1 *m2 *n1  *n2   - 648*a33*m1 *m2 *n1  *n2 *n3

                   6   4   11   7   4             6   4   11   5   6
       + 672*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   6   4   9   13             6   4   9   11   2
       + 120*a33*m1 *m2 *n1 *n2   - 346*a33*m1 *m2 *n1 *n2  *n3

                   6   4   9   9   4              6   4   9   7   6
       - 784*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  6   4   7   15             6   4   7   13   2
       + 20*a33*m1 *m2 *n1 *n2   + 220*a33*m1 *m2 *n1 *n2  *n3

                   6   4   7   11   4             6   4   7   9   6
       - 784*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  6   4   5   17             6   4   5   15   2
       - 20*a33*m1 *m2 *n1 *n2   + 130*a33*m1 *m2 *n1 *n2  *n3

                   6   4   5   11   6           5   5   18   4
       - 560*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1  *n2

                  5   5   16   6            5   5   16   4   2
       + 34*a33*m1 *m2 *n1  *n2  - 60*a33*m1 *m2 *n1  *n2 *n3

                 5   5   14   8             5   5   14   6   2
       - 6*a33*m1 *m2 *n1  *n2  + 312*a33*m1 *m2 *n1  *n2 *n3

                   5   5   14   4   4             5   5   12   10
       - 336*a33*m1 *m2 *n1  *n2 *n3  - 162*a33*m1 *m2 *n1  *n2

                   5   5   12   8   2             5   5   12   6   4
       + 444*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                   5   5   12   4   6            5   5   10   12
       - 448*a33*m1 *m2 *n1  *n2 *n3  - 90*a33*m1 *m2 *n1  *n2

                   5   5   10   10   2              5   5   10   8   4
       - 528*a33*m1 *m2 *n1  *n2  *n3  + 1568*a33*m1 *m2 *n1  *n2 *n3

                   5   5   10   6   6            5   5   8   14
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1 *n2

                   5   5   8   12   2              5   5   8   8   6
       - 732*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                  5   5   6   16            5   5   6   14   2
       + 50*a33*m1 *m2 *n1 *n2   - 24*a33*m1 *m2 *n1 *n2  *n3

                   5   5   6   12   4             5   5   6   10   6
       - 784*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                  5   5   4   18             5   5   4   16   2
       - 10*a33*m1 *m2 *n1 *n2   + 108*a33*m1 *m2 *n1 *n2  *n3

                   5   5   4   14   4             5   5   4   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                  4   6   17   5            4   6   15   7
       - 10*a33*m1 *m2 *n1  *n2  + 50*a33*m1 *m2 *n1  *n2

                   4   6   15   5   2            4   6   13   9
       - 150*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1  *n2

                   4   6   13   7   2             4   6   13   5   4
       + 220*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                  4   6   11   11             4   6   11   9   2
       - 90*a33*m1 *m2 *n1  *n2   + 830*a33*m1 *m2 *n1  *n2 *n3

                   4   6   11   5   6             4   6   9   13
       - 560*a33*m1 *m2 *n1  *n2 *n3  - 162*a33*m1 *m2 *n1 *n2

                   4   6   9   11   2              4   6   9   9   4
       + 136*a33*m1 *m2 *n1 *n2  *n3  + 1568*a33*m1 *m2 *n1 *n2 *n3

                   4   6   9   7   6           4   6   7   15
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 6*a33*m1 *m2 *n1 *n2

                   4   6   7   13   2             4   6   7   11   4
       - 542*a33*m1 *m2 *n1 *n2  *n3  + 784*a33*m1 *m2 *n1 *n2  *n3

                    4   6   7   9   6            4   6   5   17
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 34*a33*m1 *m2 *n1 *n2

                   4   6   5   15   2             4   6   5   13   4
       - 172*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2  *n3

                   4   6   5   11   6           4   6   3   19
       + 448*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1 *n2

                  4   6   3   17   2             4   6   3   15   4
       + 46*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   4   6   3   13   6            3   7   16   6
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2

                  3   7   14   8             3   7   14   6   2
       + 20*a33*m1 *m2 *n1  *n2  - 200*a33*m1 *m2 *n1  *n2 *n3

                   3   7   12   10            3   7   12   8   2
       + 120*a33*m1 *m2 *n1  *n2   - 80*a33*m1 *m2 *n1  *n2 *n3

                   3   7   12   6   4            3   7   10   12
       - 560*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2

                   3   7   10   10   2             3   7   10   8   4
       + 584*a33*m1 *m2 *n1  *n2  *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   3   7   10   6   6            3   7   8   14
       - 448*a33*m1 *m2 *n1  *n2 *n3  - 76*a33*m1 *m2 *n1 *n2

                   3   7   8   12   2             3   7   8   10   4
       + 480*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                   3   7   8   8   6            3   7   6   16
       - 448*a33*m1 *m2 *n1 *n2 *n3  - 36*a33*m1 *m2 *n1 *n2

                   3   7   6   14   2             3   7   6   12   4
       - 104*a33*m1 *m2 *n1 *n2  *n3  + 736*a33*m1 *m2 *n1 *n2  *n3

                   3   7   6   10   6           3   7   4   18
       + 384*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2

                   3   7   4   16   2            3   7   4   14   4
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2  *n3

                   3   7   4   12   6           3   7   2   18   2
       + 320*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2  *n3

                  3   7   2   16   4            3   7   2   14   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2  *n3

                  2   8   15   7            2   8   13   9
       - 20*a33*m1 *m2 *n1  *n2  - 20*a33*m1 *m2 *n1  *n2

                   2   8   13   7   2            2   8   11   11
       - 150*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2

                   2   8   11   9   2             2   8   11   7   4
       - 228*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  2   8   9   13             2   8   9   11   2
       + 64*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   9   9   4             2   8   9   7   6
       - 560*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                 2   8   7   15             2   8   7   13   2
       + 4*a33*m1 *m2 *n1 *n2   + 264*a33*m1 *m2 *n1 *n2  *n3

                  2   8   7   11   4             2   8   7   9   6
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 320*a33*m1 *m2 *n1 *n2 *n3

                  2   8   5   17            2   8   5   15   2
       - 12*a33*m1 *m2 *n1 *n2   + 60*a33*m1 *m2 *n1 *n2  *n3

                   2   8   5   13   4            2   8   5   11   6
       + 264*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2  *n3

                  2   8   3   17   2            2   8   3   15   4
       - 24*a33*m1 *m2 *n1 *n2  *n3  + 64*a33*m1 *m2 *n1 *n2  *n3

                   2   8   3   13   6           2   8      17   4
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1*n2  *n3

                 2   8      15   6               9   14   8
       - 8*a33*m1 *m2 *n1*n2  *n3  - 10*a33*m1*m2 *n1  *n2

                     9   12   10               9   12   8   2
       - 22*a33*m1*m2 *n1  *n2   - 60*a33*m1*m2 *n1  *n2 *n3

                    9   10   12                9   10   10   2
       - 6*a33*m1*m2 *n1  *n2   - 136*a33*m1*m2 *n1  *n2  *n3

                      9   10   8   4               9   8   14
       - 112*a33*m1*m2 *n1  *n2 *n3  + 14*a33*m1*m2 *n1 *n2

                     9   8   12   2                9   8   10   4
       - 68*a33*m1*m2 *n1 *n2  *n3  - 240*a33*m1*m2 *n1 *n2  *n3

                     9   8   8   6              9   6   16
       - 64*a33*m1*m2 *n1 *n2 *n3  + 8*a33*m1*m2 *n1 *n2

                     9   6   14   2                9   6   12   4
       + 32*a33*m1*m2 *n1 *n2  *n3  - 128*a33*m1*m2 *n1 *n2  *n3

                      9   6   10   6               9   4   16   2
       - 112*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                     9   4   14   4               9   4   12   6
       + 16*a33*m1*m2 *n1 *n2  *n3  - 32*a33*m1*m2 *n1 *n2  *n3

                     9   2   16   4               9   2   14   6
       + 16*a33*m1*m2 *n1 *n2  *n3  + 16*a33*m1*m2 *n1 *n2  *n3

                 10   13   9           10   11   11            10   11   9   2
       - 2*a33*m2  *n1  *n2  - 6*a33*m2  *n1  *n2   - 10*a33*m2  *n1  *n2 *n3

                 10   9   13            10   9   11   2
       - 6*a33*m2  *n1 *n2   - 28*a33*m2  *n1 *n2  *n3

                  10   9   9   4           10   7   15
       - 16*a33*m2  *n1 *n2 *n3  - 2*a33*m2  *n1 *n2

                  10   7   13   2            10   7   11   4
       - 26*a33*m2  *n1 *n2  *n3  - 40*a33*m2  *n1 *n2  *n3

                 10   7   9   6           10   5   15   2
       - 8*a33*m2  *n1 *n2 *n3  - 8*a33*m2  *n1 *n2  *n3

                  10   5   13   4            10   5   11   6
       - 32*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2  *n3

                 10   3   15   4           10   3   13   6         2
       - 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3 ) + u1*u3 *v2*(

              3   11   10   7   2        3   11   10   5   4
       - 2*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

              3   11   10   3   6        3   11   8   9   2
       - 8*a33 *m1  *n1  *n2 *n3  - 2*a33 *m1  *n1 *n2 *n3

              3   11   8   7   4        3   11   8   5   6
       + 8*a33 *m1  *n1 *n2 *n3  - 8*a33 *m1  *n1 *n2 *n3

              3   10      11   8         3   10      11   6   2
       - 2*a33 *m1  *m2*n1  *n2  + 18*a33 *m1  *m2*n1  *n2 *n3

               3   10      11   4   4         3   10      11   2   6
       - 40*a33 *m1  *m2*n1  *n2 *n3  + 24*a33 *m1  *m2*n1  *n2 *n3

              3   10      9   10         3   10      9   8   2
       - 4*a33 *m1  *m2*n1 *n2   + 14*a33 *m1  *m2*n1 *n2 *n3

              3   10      9   6   4         3   10      9   4   6
       + 8*a33 *m1  *m2*n1 *n2 *n3  - 40*a33 *m1  *m2*n1 *n2 *n3

              3   10      7   12        3   10      7   10   2
       - 2*a33 *m1  *m2*n1 *n2   - 4*a33 *m1  *m2*n1 *n2  *n3

               3   10      7   8   4         3   10      7   6   6
       + 48*a33 *m1  *m2*n1 *n2 *n3  - 64*a33 *m1  *m2*n1 *n2 *n3

               3   9   2   12   7         3   9   2   12   5   2
       + 10*a33 *m1 *m2 *n1  *n2  - 52*a33 *m1 *m2 *n1  *n2 *n3

               3   9   2   12   3   4         3   9   2   12      6
       + 72*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2*n3

               3   9   2   10   9         3   9   2   10   7   2
       + 10*a33 *m1 *m2 *n1  *n2  + 24*a33 *m1 *m2 *n1  *n2 *n3

                3   9   2   10   5   4          3   9   2   10   3   6
       - 184*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               3   9   2   8   11         3   9   2   8   9   2
       - 10*a33 *m1 *m2 *n1 *n2   + 94*a33 *m1 *m2 *n1 *n2 *n3

                3   9   2   8   7   4         3   9   2   8   5   6
       - 144*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

               3   9   2   6   13         3   9   2   6   11   2
       - 10*a33 *m1 *m2 *n1 *n2   + 18*a33 *m1 *m2 *n1 *n2  *n3

                3   9   2   6   9   4          3   9   2   6   7   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               3   8   3   13   6         3   8   3   13   4   2
       - 20*a33 *m1 *m2 *n1  *n2  + 68*a33 *m1 *m2 *n1  *n2 *n3

               3   8   3   13   2   4        3   8   3   13   6
       - 56*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n3

               3   8   3   11   8          3   8   3   11   6   2
       + 10*a33 *m1 *m2 *n1  *n2  - 196*a33 *m1 *m2 *n1  *n2 *n3

                3   8   3   11   4   4          3   8   3   11   2   6
       + 424*a33 *m1 *m2 *n1  *n2 *n3  - 184*a33 *m1 *m2 *n1  *n2 *n3

               3   8   3   9   10          3   8   3   9   8   2
       + 60*a33 *m1 *m2 *n1 *n2   - 186*a33 *m1 *m2 *n1 *n2 *n3

                3   8   3   9   6   4          3   8   3   9   4   6
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 480*a33 *m1 *m2 *n1 *n2 *n3

               3   8   3   7   12          3   8   3   7   10   2
       + 10*a33 *m1 *m2 *n1 *n2   + 158*a33 *m1 *m2 *n1 *n2  *n3

                3   8   3   7   8   4          3   8   3   7   6   6
       - 560*a33 *m1 *m2 *n1 *n2 *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

               3   8   3   5   14         3   8   3   5   12   2
       - 20*a33 *m1 *m2 *n1 *n2   + 80*a33 *m1 *m2 *n1 *n2  *n3

                3   8   3   5   10   4          3   8   3   5   8   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2 *n3

               3   7   4   14   5         3   7   4   14   3   2
       + 20*a33 *m1 *m2 *n1  *n2  - 42*a33 *m1 *m2 *n1  *n2 *n3

               3   7   4   14      4         3   7   4   12   7
       + 16*a33 *m1 *m2 *n1  *n2*n3  - 60*a33 *m1 *m2 *n1  *n2

                3   7   4   12   5   2          3   7   4   12   3   4
       + 334*a33 *m1 *m2 *n1  *n2 *n3  - 368*a33 *m1 *m2 *n1  *n2 *n3

               3   7   4   12      6         3   7   4   10   9
       + 64*a33 *m1 *m2 *n1  *n2*n3  - 80*a33 *m1 *m2 *n1  *n2

                3   7   4   10   7   2          3   7   4   10   5   4
       - 116*a33 *m1 *m2 *n1  *n2 *n3  + 960*a33 *m1 *m2 *n1  *n2 *n3

                3   7   4   10   3   6         3   7   4   8   11
       - 608*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2

                3   7   4   8   9   2          3   7   4   8   7   4
       - 612*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

                3   7   4   8   5   6         3   7   4   6   13
       + 672*a33 *m1 *m2 *n1 *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

               3   7   4   6   11   2          3   7   4   6   9   4
       + 10*a33 *m1 *m2 *n1 *n2  *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                3   7   4   6   7   6         3   7   4   4   15
       + 784*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

                3   7   4   4   13   2          3   7   4   4   9   6
       + 130*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

               3   6   5   15   4         3   6   5   15   2   2
       - 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2 *n3

               3   6   5   13   6          3   6   5   13   4   2
       + 80*a33 *m1 *m2 *n1  *n2  - 234*a33 *m1 *m2 *n1  *n2 *n3

                3   6   5   13   2   4         3   6   5   11   8
       + 112*a33 *m1 *m2 *n1  *n2 *n3  - 10*a33 *m1 *m2 *n1  *n2

                3   6   5   11   6   2           3   6   5   11   4   4
       + 584*a33 *m1 *m2 *n1  *n2 *n3  - 1008*a33 *m1 *m2 *n1  *n2 *n3

                3   6   5   11   2   6          3   6   5   9   10
       + 224*a33 *m1 *m2 *n1  *n2 *n3  - 200*a33 *m1 *m2 *n1 *n2

                3   6   5   9   8   2          3   6   5   9   6   4
       + 508*a33 *m1 *m2 *n1 *n2 *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

                 3   6   5   9   4   6         3   6   5   7   12
       - 1120*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                3   6   5   7   10   2           3   6   5   7   8   4
       - 690*a33 *m1 *m2 *n1 *n2  *n3  + 1456*a33 *m1 *m2 *n1 *n2 *n3

                3   6   5   7   6   6         3   6   5   5   14
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2

                3   6   5   5   12   2          3   6   5   5   10   4
       - 262*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2  *n3

                 3   6   5   5   8   6         3   6   5   3   16
       + 1232*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                3   6   5   3   14   2          3   6   5   3   12   4
       + 108*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                3   6   5   3   10   6        3   5   6   16   3
       - 448*a33 *m1 *m2 *n1 *n2  *n3  + 2*a33 *m1 *m2 *n1  *n2

               3   5   6   14   5         3   5   6   14   3   2
       - 46*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2 *n3

                3   5   6   12   7          3   5   6   12   5   2
       + 102*a33 *m1 *m2 *n1  *n2  - 522*a33 *m1 *m2 *n1  *n2 *n3

                3   5   6   12   3   4          3   5   6   10   9
       + 336*a33 *m1 *m2 *n1  *n2 *n3  + 150*a33 *m1 *m2 *n1  *n2

                3   5   6   10   7   2           3   5   6   10   5   4
       + 298*a33 *m1 *m2 *n1  *n2 *n3  - 1456*a33 *m1 *m2 *n1  *n2 *n3

                3   5   6   10   3   6          3   5   6   8   11
       + 448*a33 *m1 *m2 *n1  *n2 *n3  - 150*a33 *m1 *m2 *n1 *n2

                 3   5   6   8   9   2          3   5   6   8   7   4
       + 1060*a33 *m1 *m2 *n1 *n2 *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

                 3   5   6   8   5   6          3   5   6   6   13
       - 1232*a33 *m1 *m2 *n1 *n2 *n3  - 102*a33 *m1 *m2 *n1 *n2

                3   5   6   6   11   2           3   5   6   6   9   4
       - 192*a33 *m1 *m2 *n1 *n2  *n3  + 1680*a33 *m1 *m2 *n1 *n2 *n3

                3   5   6   6   7   6         3   5   6   4   15
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 46*a33 *m1 *m2 *n1 *n2

                3   5   6   4   13   2          3   5   6   4   11   4
       - 326*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                 3   5   6   4   9   6        3   5   6   2   17
       + 1120*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1 *n2

               3   5   6   2   15   2          3   5   6   2   13   4
       + 46*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                3   5   6   2   11   6         3   4   7   15   4
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               3   4   7   13   6          3   4   7   13   4   2
       - 80*a33 *m1 *m2 *n1  *n2  + 150*a33 *m1 *m2 *n1  *n2 *n3

               3   4   7   11   8          3   4   7   11   6   2
       + 10*a33 *m1 *m2 *n1  *n2  - 570*a33 *m1 *m2 *n1  *n2 *n3

                3   4   7   11   4   4          3   4   7   9   10
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 200*a33 *m1 *m2 *n1 *n2

                3   4   7   9   8   2           3   4   7   9   6   4
       - 340*a33 *m1 *m2 *n1 *n2 *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

                3   4   7   9   4   6         3   4   7   7   12
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                3   4   7   7   10   2           3   4   7   7   8   4
       + 788*a33 *m1 *m2 *n1 *n2  *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

                3   4   7   7   6   6         3   4   7   5   14
       - 784*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2

                3   4   7   5   12   2          3   4   7   5   10   4
       + 234*a33 *m1 *m2 *n1 *n2  *n3  + 896*a33 *m1 *m2 *n1 *n2  *n3

                3   4   7   5   8   6         3   4   7   3   16
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                3   4   7   3   14   2          3   4   7   3   12   4
       - 166*a33 *m1 *m2 *n1 *n2  *n3  + 176*a33 *m1 *m2 *n1 *n2  *n3

                3   4   7   3   10   6        3   4   7      16   2
       + 608*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1*n2  *n3

               3   4   7      14   4         3   4   7      12   6
       - 48*a33 *m1 *m2 *n1*n2  *n3  - 64*a33 *m1 *m2 *n1*n2  *n3

               3   3   8   14   5         3   3   8   12   7
       + 20*a33 *m1 *m2 *n1  *n2  - 60*a33 *m1 *m2 *n1  *n2

                3   3   8   12   5   2         3   3   8   10   9
       + 200*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1  *n2

                3   3   8   10   7   2          3   3   8   10   5   4
       - 270*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

               3   3   8   8   11          3   3   8   8   9   2
       + 80*a33 *m1 *m2 *n1 *n2   - 542*a33 *m1 *m2 *n1 *n2 *n3

                3   3   8   8   7   4          3   3   8   8   5   6
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               3   3   8   6   13          3   3   8   6   11   2
       + 60*a33 *m1 *m2 *n1 *n2   + 164*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   6   9   4          3   3   8   6   7   6
       - 896*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               3   3   8   4   15          3   3   8   4   13   2
       - 20*a33 *m1 *m2 *n1 *n2   + 204*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   4   11   4          3   3   8   4   9   6
       + 128*a33 *m1 *m2 *n1 *n2  *n3  - 480*a33 *m1 *m2 *n1 *n2 *n3

               3   3   8   2   15   2          3   3   8   2   13   4
       - 32*a33 *m1 *m2 *n1 *n2  *n3  + 120*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   2   11   6        3   3   8   15   4
       + 184*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n2  *n3

              3   3   8   13   6         3   2   9   13   6
       - 8*a33 *m1 *m2 *n2  *n3  + 20*a33 *m1 *m2 *n1  *n2

               3   2   9   11   8          3   2   9   11   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 150*a33 *m1 *m2 *n1  *n2 *n3

               3   2   9   9   10         3   2   9   9   8   2
       - 60*a33 *m1 *m2 *n1 *n2   + 18*a33 *m1 *m2 *n1 *n2 *n3

                3   2   9   9   6   4         3   2   9   7   12
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                3   2   9   7   10   2          3   2   9   7   8   4
       - 256*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                3   2   9   7   6   6         3   2   9   5   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

               3   2   9   5   12   2          3   2   9   5   10   4
       - 76*a33 *m1 *m2 *n1 *n2  *n3  - 320*a33 *m1 *m2 *n1 *n2  *n3

               3   2   9   5   8   6         3   2   9   3   14   2
       + 32*a33 *m1 *m2 *n1 *n2 *n3  + 48*a33 *m1 *m2 *n1 *n2  *n3

               3   2   9   3   12   4          3   2   9   3   10   6
       - 72*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2  *n3

               3   2   9      14   4         3   2   9      12   6
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 24*a33 *m1 *m2 *n1*n2  *n3

               3      10   12   7         3      10   10   9
       + 10*a33 *m1*m2  *n1  *n2  + 10*a33 *m1*m2  *n1  *n2

               3      10   10   7   2         3      10   8   11
       + 60*a33 *m1*m2  *n1  *n2 *n3  - 10*a33 *m1*m2  *n1 *n2

               3      10   8   9   2          3      10   8   7   4
       + 66*a33 *m1*m2  *n1 *n2 *n3  + 112*a33 *m1*m2  *n1 *n2 *n3

               3      10   6   13         3      10   6   11   2
       - 10*a33 *m1*m2  *n1 *n2   - 26*a33 *m1*m2  *n1 *n2  *n3

                3      10   6   9   4         3      10   6   7   6
       + 112*a33 *m1*m2  *n1 *n2 *n3  + 64*a33 *m1*m2  *n1 *n2 *n3

               3      10   4   13   2         3      10   4   11   4
       - 32*a33 *m1*m2  *n1 *n2  *n3  - 24*a33 *m1*m2  *n1 *n2  *n3

               3      10   4   9   6         3      10   2   13   4
       + 40*a33 *m1*m2  *n1 *n2 *n3  - 24*a33 *m1*m2  *n1 *n2  *n3

               3      10   2   11   6        3   11   11   8
       - 24*a33 *m1*m2  *n1 *n2  *n3  + 2*a33 *m2  *n1  *n2

              3   11   9   10         3   11   9   8   2        3   11   7   12
       + 4*a33 *m2  *n1 *n2   + 10*a33 *m2  *n1 *n2 *n3  + 2*a33 *m2  *n1 *n2

               3   11   7   10   2         3   11   7   8   4
       + 18*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2 *n3

              3   11   5   12   2         3   11   5   10   4
       + 8*a33 *m2  *n1 *n2  *n3  + 24*a33 *m2  *n1 *n2  *n3

              3   11   5   8   6        3   11   3   12   4
       + 8*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

              3   11   3   10   6         2        2   10   13   6   2
       + 8*a33 *m2  *n1 *n2  *n3 ) + u1*u3 *( - a33 *m1  *n1  *n2 *n3

              2   10   13   4   4        2   10   13   2   6
       + 4*a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              2   10   11   8   2        2   10   11   6   4
       - 2*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

              2   10   11   4   6      2   10   9   10   2
       - 8*a33 *m1  *n1  *n2 *n3  - a33 *m1  *n1 *n2  *n3

              2   10   9   8   4        2   10   9   6   6
       + 4*a33 *m1  *n1 *n2 *n3  - 4*a33 *m1  *n1 *n2 *n3

            2   9      14   7        2   9      14   5   2
       - a33 *m1 *m2*n1  *n2  + 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      14   3   4        2   9      14      6
       - 16*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2*n3

              2   9      12   9         2   9      12   7   2
       - 3*a33 *m1 *m2*n1  *n2  + 14*a33 *m1 *m2*n1  *n2 *n3

              2   9      12   5   4         2   9      12   3   6
       - 8*a33 *m1 *m2*n1  *n2 *n3  - 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      10   11        2   9      10   9   2
       - 3*a33 *m1 *m2*n1  *n2   + 4*a33 *m1 *m2*n1  *n2 *n3

               2   9      10   7   4         2   9      10   5   6
       + 32*a33 *m1 *m2*n1  *n2 *n3  - 56*a33 *m1 *m2*n1  *n2 *n3

            2   9      8   13        2   9      8   11   2
       - a33 *m1 *m2*n1 *n2   - 2*a33 *m1 *m2*n1 *n2  *n3

               2   9      8   9   4         2   9      8   7   6
       + 24*a33 *m1 *m2*n1 *n2 *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

              2   8   2   15   6         2   8   2   15   4   2
       + 4*a33 *m1 *m2 *n1  *n2  - 18*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   15   2   4        2   8   2   15   6
       + 20*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

              2   8   2   13   8         2   8   2   13   4   4
       + 7*a33 *m1 *m2 *n1  *n2  - 64*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   13   2   6        2   8   2   11   10
       + 56*a33 *m1 *m2 *n1  *n2 *n3  - 3*a33 *m1 *m2 *n1  *n2

               2   8   2   11   8   2          2   8   2   11   6   4
       + 63*a33 *m1 *m2 *n1  *n2 *n3  - 132*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   11   4   6         2   8   2   9   12
       + 12*a33 *m1 *m2 *n1  *n2 *n3  - 11*a33 *m1 *m2 *n1 *n2

               2   8   2   9   10   2        2   8   2   9   8   4
       + 54*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1 *n2 *n3

                2   8   2   9   6   6        2   8   2   7   14
       - 160*a33 *m1 *m2 *n1 *n2 *n3  - 5*a33 *m1 *m2 *n1 *n2

              2   8   2   7   12   2         2   8   2   7   10   4
       + 9*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   8   2   7   8   6        2   7   3   16   5
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 6*a33 *m1 *m2 *n1  *n2

               2   7   3   16   3   2        2   7   3   16      4
       + 16*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2*n3

              2   7   3   14   7         2   7   3   14   5   2
       + 2*a33 *m1 *m2 *n1  *n2  - 64*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   14   3   4         2   7   3   14      6
       + 120*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2*n3

               2   7   3   12   9          2   7   3   12   7   2
       + 32*a33 *m1 *m2 *n1  *n2  - 128*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   12   5   4          2   7   3   12   3   6
       - 16*a33 *m1 *m2 *n1  *n2 *n3  + 160*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   10   11         2   7   3   10   9   2
       + 24*a33 *m1 *m2 *n1  *n2   + 40*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   10   7   4          2   7   3   10   5   6
       - 368*a33 *m1 *m2 *n1  *n2 *n3  + 192*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   8   13          2   7   3   8   11   2
       - 10*a33 *m1 *m2 *n1 *n2   + 128*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   8   9   4          2   7   3   8   7   6
       - 168*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   7   3   6   15         2   7   3   6   13   2
       - 10*a33 *m1 *m2 *n1 *n2   + 40*a33 *m1 *m2 *n1 *n2  *n3

               2   7   3   6   11   4          2   7   3   6   9   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

              2   6   4   17   4        2   6   4   17   2   2
       + 4*a33 *m1 *m2 *n1  *n2  - 5*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   15   6         2   6   4   15   4   2
       - 18*a33 *m1 *m2 *n1  *n2  + 82*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   15   2   4         2   6   4   13   8
       - 56*a33 *m1 *m2 *n1  *n2 *n3  - 38*a33 *m1 *m2 *n1  *n2

               2   6   4   13   6   2          2   6   4   13   4   4
       - 19*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   13   2   6         2   6   4   11   10
       - 112*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2

                2   6   4   11   8   2          2   6   4   11   6   4
       - 324*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   11   4   6         2   6   4   9   12
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

                2   6   4   9   10   2          2   6   4   9   8   4
       - 173*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2 *n3

                2   6   4   9   6   6         2   6   4   7   14
       + 504*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   6   4   7   12   2          2   6   4   7   10   4
       + 110*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   7   8   6         2   6   4   5   16
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   6   4   5   14   2          2   6   4   5   10   6
       + 65*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2  *n3

            2   5   5   18   3         2   5   5   16   5
       - a33 *m1 *m2 *n1  *n2  + 17*a33 *m1 *m2 *n1  *n2

               2   5   5   16   3   2        2   5   5   14   7
       - 30*a33 *m1 *m2 *n1  *n2 *n3  - 3*a33 *m1 *m2 *n1  *n2

                2   5   5   14   5   2          2   5   5   14   3   4
       + 156*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   5   5   12   9          2   5   5   12   7   2
       - 81*a33 *m1 *m2 *n1  *n2  + 222*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   12   5   4          2   5   5   12   3   6
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   5   5   10   11          2   5   5   10   9   2
       - 45*a33 *m1 *m2 *n1  *n2   - 264*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   10   7   4          2   5   5   10   5   6
       + 784*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   5   5   8   13          2   5   5   8   11   2
       + 45*a33 *m1 *m2 *n1 *n2   - 366*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   8   7   6         2   5   5   6   15
       + 672*a33 *m1 *m2 *n1 *n2 *n3  + 25*a33 *m1 *m2 *n1 *n2

               2   5   5   6   13   2          2   5   5   6   11   4
       - 12*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   6   9   6        2   5   5   4   17
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 5*a33 *m1 *m2 *n1 *n2

               2   5   5   4   15   2         2   5   5   4   13   4
       + 54*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   4   11   6        2   4   6   17   4
       - 224*a33 *m1 *m2 *n1 *n2  *n3  - 5*a33 *m1 *m2 *n1  *n2

               2   4   6   15   6         2   4   6   15   4   2
       + 25*a33 *m1 *m2 *n1  *n2  - 75*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   13   8          2   4   6   13   6   2
       + 45*a33 *m1 *m2 *n1  *n2  + 110*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   13   4   4         2   4   6   11   10
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2

                2   4   6   11   8   2          2   4   6   11   4   6
       + 415*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   9   12         2   4   6   9   10   2
       - 81*a33 *m1 *m2 *n1 *n2   + 68*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   9   8   4          2   4   6   9   6   6
       + 784*a33 *m1 *m2 *n1 *n2 *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   4   6   7   14          2   4   6   7   12   2
       - 3*a33 *m1 *m2 *n1 *n2   - 271*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   7   10   4          2   4   6   7   8   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 504*a33 *m1 *m2 *n1 *n2 *n3

               2   4   6   5   16         2   4   6   5   14   2
       + 17*a33 *m1 *m2 *n1 *n2   - 86*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   5   12   4          2   4   6   5   10   6
       - 168*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

            2   4   6   3   18         2   4   6   3   16   2
       - a33 *m1 *m2 *n1 *n2   + 23*a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   3   14   4          2   4   6   3   12   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   16   5         2   3   7   14   7
       - 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

                2   3   7   14   5   2         2   3   7   12   9
       - 100*a33 *m1 *m2 *n1  *n2 *n3  + 60*a33 *m1 *m2 *n1  *n2

               2   3   7   12   7   2          2   3   7   12   5   4
       - 40*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   10   11          2   3   7   10   9   2
       + 24*a33 *m1 *m2 *n1  *n2   + 292*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   10   7   4          2   3   7   10   5   6
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   8   13          2   3   7   8   11   2
       - 38*a33 *m1 *m2 *n1 *n2   + 240*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   8   9   4          2   3   7   8   7   6
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   3   7   6   15         2   3   7   6   13   2
       - 18*a33 *m1 *m2 *n1 *n2   - 52*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   6   11   4          2   3   7   6   9   6
       + 368*a33 *m1 *m2 *n1 *n2  *n3  + 192*a33 *m1 *m2 *n1 *n2 *n3

              2   3   7   4   17         2   3   7   4   15   2
       + 4*a33 *m1 *m2 *n1 *n2   - 56*a33 *m1 *m2 *n1 *n2  *n3

              2   3   7   4   13   4          2   3   7   4   11   6
       + 8*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2  *n3

              2   3   7   2   17   2         2   3   7   2   15   4
       + 4*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   2   13   6         2   2   8   15   6
       - 32*a33 *m1 *m2 *n1 *n2  *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   2   8   13   8         2   2   8   13   6   2
       - 10*a33 *m1 *m2 *n1  *n2  - 75*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   11   10          2   2   8   11   8   2
       + 24*a33 *m1 *m2 *n1  *n2   - 114*a33 *m1 *m2 *n1  *n2 *n3

                2   2   8   11   6   4         2   2   8   9   12
       - 168*a33 *m1 *m2 *n1  *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2

               2   2   8   9   10   2          2   2   8   9   8   4
       + 51*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

                2   2   8   9   6   6        2   2   8   7   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

                2   2   8   7   12   2         2   2   8   7   10   4
       + 132*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   7   8   6        2   2   8   5   16
       - 160*a33 *m1 *m2 *n1 *n2 *n3  - 6*a33 *m1 *m2 *n1 *n2

               2   2   8   5   14   2          2   2   8   5   12   4
       + 30*a33 *m1 *m2 *n1 *n2  *n3  + 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   5   10   6         2   2   8   3   16   2
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   3   14   4         2   2   8   3   12   6
       + 32*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

              2   2   8      16   4        2   2   8      14   6
       - 4*a33 *m1 *m2 *n1*n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

              2      9   14   7         2      9   12   9
       - 5*a33 *m1*m2 *n1  *n2  - 11*a33 *m1*m2 *n1  *n2

               2      9   12   7   2        2      9   10   11
       - 30*a33 *m1*m2 *n1  *n2 *n3  - 3*a33 *m1*m2 *n1  *n2

               2      9   10   9   2         2      9   10   7   4
       - 68*a33 *m1*m2 *n1  *n2 *n3  - 56*a33 *m1*m2 *n1  *n2 *n3

              2      9   8   13         2      9   8   11   2
       + 7*a33 *m1*m2 *n1 *n2   - 34*a33 *m1*m2 *n1 *n2  *n3

                2      9   8   9   4         2      9   8   7   6
       - 120*a33 *m1*m2 *n1 *n2 *n3  - 32*a33 *m1*m2 *n1 *n2 *n3

              2      9   6   15         2      9   6   13   2
       + 4*a33 *m1*m2 *n1 *n2   + 16*a33 *m1*m2 *n1 *n2  *n3

               2      9   6   11   4         2      9   6   9   6
       - 64*a33 *m1*m2 *n1 *n2  *n3  - 56*a33 *m1*m2 *n1 *n2 *n3

               2      9   4   15   2        2      9   4   13   4
       + 12*a33 *m1*m2 *n1 *n2  *n3  + 8*a33 *m1*m2 *n1 *n2  *n3

               2      9   4   11   6        2      9   2   15   4
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 8*a33 *m1*m2 *n1 *n2  *n3

              2      9   2   13   6      2   10   13   8        2   10   11   10
       + 8*a33 *m1*m2 *n1 *n2  *n3  - a33 *m2  *n1  *n2  - 3*a33 *m2  *n1  *n2

              2   10   11   8   2        2   10   9   12
       - 5*a33 *m2  *n1  *n2 *n3  - 3*a33 *m2  *n1 *n2

               2   10   9   10   2        2   10   9   8   4
       - 14*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3

            2   10   7   14         2   10   7   12   2
       - a33 *m2  *n1 *n2   - 13*a33 *m2  *n1 *n2  *n3

               2   10   7   10   4        2   10   7   8   6
       - 20*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2 *n3

              2   10   5   14   2         2   10   5   12   4
       - 4*a33 *m2  *n1 *n2  *n3  - 16*a33 *m2  *n1 *n2  *n3

              2   10   5   10   6        2   10   3   14   4
       - 8*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3

              2   10   3   12   6                      2   11   10   7   3
       - 4*a33 *m2  *n1 *n2  *n3 ) + u1*u3*v2*( - 2*a33 *m1  *n1  *n2 *n3

              2   11   10   5   5        2   11   10   3   7
       + 8*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   11   8   9   3        2   11   8   7   5
       - 2*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   11   8   5   7        2   10      11   8
       - 8*a33 *m1  *n1 *n2 *n3  - 2*a33 *m1  *m2*n1  *n2 *n3

               2   10      11   6   3         2   10      11   4   5
       + 18*a33 *m1  *m2*n1  *n2 *n3  - 40*a33 *m1  *m2*n1  *n2 *n3

               2   10      11   2   7        2   10      9   10
       + 24*a33 *m1  *m2*n1  *n2 *n3  - 4*a33 *m1  *m2*n1 *n2  *n3

               2   10      9   8   3        2   10      9   6   5
       + 14*a33 *m1  *m2*n1 *n2 *n3  + 8*a33 *m1  *m2*n1 *n2 *n3

               2   10      9   4   7        2   10      7   12
       - 40*a33 *m1  *m2*n1 *n2 *n3  - 2*a33 *m1  *m2*n1 *n2  *n3

              2   10      7   10   3         2   10      7   8   5
       - 4*a33 *m1  *m2*n1 *n2  *n3  + 48*a33 *m1  *m2*n1 *n2 *n3

               2   10      7   6   7         2   9   2   12   7
       - 64*a33 *m1  *m2*n1 *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   12   5   3         2   9   2   12   3   5
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 72*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   12      7         2   9   2   10   9
       - 24*a33 *m1 *m2 *n1  *n2*n3  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   10   7   3          2   9   2   10   5   5
       + 24*a33 *m1 *m2 *n1  *n2 *n3  - 184*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   10   3   7         2   9   2   8   11
       + 168*a33 *m1 *m2 *n1  *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2  *n3

               2   9   2   8   9   3          2   9   2   8   7   5
       + 94*a33 *m1 *m2 *n1 *n2 *n3  - 144*a33 *m1 *m2 *n1 *n2 *n3

               2   9   2   8   5   7         2   9   2   6   13
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2  *n3

               2   9   2   6   11   3          2   9   2   6   9   5
       + 18*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   6   7   7         2   8   3   13   6
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   13   4   3         2   8   3   13   2   5
       + 68*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   3   13   7         2   8   3   11   8
       + 8*a33 *m1 *m2 *n1  *n3  + 10*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   11   6   3          2   8   3   11   4   5
       - 196*a33 *m1 *m2 *n1  *n2 *n3  + 424*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   11   2   7         2   8   3   9   10
       - 184*a33 *m1 *m2 *n1  *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   9   8   3          2   8   3   9   6   5
       - 186*a33 *m1 *m2 *n1 *n2 *n3  - 192*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   9   4   7         2   8   3   7   12
       + 480*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   7   10   3          2   8   3   7   8   5
       + 158*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   7   6   7         2   8   3   5   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2  *n3

               2   8   3   5   12   3          2   8   3   5   10   5
       + 80*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   5   8   7         2   7   4   14   5
       - 448*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   14   3   3         2   7   4   14      5
       - 42*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

               2   7   4   12   7             2   7   4   12   5   3
       - 60*a33 *m1 *m2 *n1  *n2 *n3 + 334*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   12   3   5         2   7   4   12      7
       - 368*a33 *m1 *m2 *n1  *n2 *n3  + 64*a33 *m1 *m2 *n1  *n2*n3

               2   7   4   10   9             2   7   4   10   7   3
       - 80*a33 *m1 *m2 *n1  *n2 *n3 - 116*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   10   5   5          2   7   4   10   3   7
       + 960*a33 *m1 *m2 *n1  *n2 *n3  - 608*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   8   11             2   7   4   8   9   3
       + 80*a33 *m1 *m2 *n1 *n2  *n3 - 612*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   8   7   5          2   7   4   8   5   7
       + 448*a33 *m1 *m2 *n1 *n2 *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   6   13            2   7   4   6   11   3
       + 60*a33 *m1 *m2 *n1 *n2  *n3 + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   6   9   5          2   7   4   6   7   7
       - 896*a33 *m1 *m2 *n1 *n2 *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   4   15             2   7   4   4   13   3
       - 20*a33 *m1 *m2 *n1 *n2  *n3 + 130*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   4   9   7         2   6   5   15   4
       - 560*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   15   2   3         2   6   5   13   6
       + 10*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   13   4   3          2   6   5   13   2   5
       - 234*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   11   8             2   6   5   11   6   3
       - 10*a33 *m1 *m2 *n1  *n2 *n3 + 584*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   5   11   4   5          2   6   5   11   2   7
       - 1008*a33 *m1 *m2 *n1  *n2 *n3  + 224*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   9   10             2   6   5   9   8   3
       - 200*a33 *m1 *m2 *n1 *n2  *n3 + 508*a33 *m1 *m2 *n1 *n2 *n3

                2   6   5   9   6   5           2   6   5   9   4   7
       + 896*a33 *m1 *m2 *n1 *n2 *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   7   12             2   6   5   7   10   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 - 690*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   7   8   5          2   6   5   7   6   7
       + 1456*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   5   14             2   6   5   5   12   3
       + 80*a33 *m1 *m2 *n1 *n2  *n3 - 262*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   5   10   5           2   6   5   5   8   7
       - 672*a33 *m1 *m2 *n1 *n2  *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   3   16             2   6   5   3   14   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 + 108*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   3   12   5          2   6   5   3   10   7
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   16   3            2   5   6   14   5
       + 2*a33 *m1 *m2 *n1  *n2 *n3 - 46*a33 *m1 *m2 *n1  *n2 *n3

               2   5   6   14   3   3          2   5   6   12   7
       + 60*a33 *m1 *m2 *n1  *n2 *n3  + 102*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   12   5   3          2   5   6   12   3   5
       - 522*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   10   9             2   5   6   10   7   3
       + 150*a33 *m1 *m2 *n1  *n2 *n3 + 298*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   10   5   5          2   5   6   10   3   7
       - 1456*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   8   11              2   5   6   8   9   3
       - 150*a33 *m1 *m2 *n1 *n2  *n3 + 1060*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   8   7   5           2   5   6   8   5   7
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 1232*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   6   13             2   5   6   6   11   3
       - 102*a33 *m1 *m2 *n1 *n2  *n3 - 192*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   6   9   5          2   5   6   6   7   7
       + 1680*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   4   15             2   5   6   4   13   3
       + 46*a33 *m1 *m2 *n1 *n2  *n3 - 326*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   4   11   5           2   5   6   4   9   7
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

              2   5   6   2   17            2   5   6   2   15   3
       - 2*a33 *m1 *m2 *n1 *n2  *n3 + 46*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   2   13   5          2   5   6   2   11   7
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   15   4            2   4   7   13   6
       + 10*a33 *m1 *m2 *n1  *n2 *n3 - 80*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   13   4   3         2   4   7   11   8
       + 150*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   11   6   3          2   4   7   11   4   5
       - 570*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   9   10             2   4   7   9   8   3
       + 200*a33 *m1 *m2 *n1 *n2  *n3 - 340*a33 *m1 *m2 *n1 *n2 *n3

                 2   4   7   9   6   5          2   4   7   9   4   7
       - 1120*a33 *m1 *m2 *n1 *n2 *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   7   12             2   4   7   7   10   3
       + 10*a33 *m1 *m2 *n1 *n2  *n3 + 788*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   7   8   5          2   4   7   7   6   7
       - 1008*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   5   14             2   4   7   5   12   3
       - 80*a33 *m1 *m2 *n1 *n2  *n3 + 234*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   5   10   5          2   4   7   5   8   7
       + 896*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   3   16             2   4   7   3   14   3
       + 10*a33 *m1 *m2 *n1 *n2  *n3 - 166*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   3   12   5          2   4   7   3   10   7
       + 176*a33 *m1 *m2 *n1 *n2  *n3  + 608*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7      16   3         2   4   7      14   5
       + 8*a33 *m1 *m2 *n1*n2  *n3  - 48*a33 *m1 *m2 *n1*n2  *n3

               2   4   7      12   7         2   3   8   14   5
       - 64*a33 *m1 *m2 *n1*n2  *n3  + 20*a33 *m1 *m2 *n1  *n2 *n3

               2   3   8   12   7             2   3   8   12   5   3
       - 60*a33 *m1 *m2 *n1  *n2 *n3 + 200*a33 *m1 *m2 *n1  *n2 *n3

               2   3   8   10   9             2   3   8   10   7   3
       - 80*a33 *m1 *m2 *n1  *n2 *n3 - 270*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   10   5   5         2   3   8   8   11
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   8   9   3          2   3   8   8   7   5
       - 542*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   8   5   7         2   3   8   6   13
       + 448*a33 *m1 *m2 *n1 *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   6   11   3          2   3   8   6   9   5
       + 164*a33 *m1 *m2 *n1 *n2  *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   6   7   7         2   3   8   4   15
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   4   13   3          2   3   8   4   11   5
       + 204*a33 *m1 *m2 *n1 *n2  *n3  + 128*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   4   9   7         2   3   8   2   15   3
       - 480*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   2   13   5          2   3   8   2   11   7
       + 120*a33 *m1 *m2 *n1 *n2  *n3  + 184*a33 *m1 *m2 *n1 *n2  *n3

              2   3   8   15   5        2   3   8   13   7
       - 8*a33 *m1 *m2 *n2  *n3  - 8*a33 *m1 *m2 *n2  *n3

               2   2   9   13   6            2   2   9   11   8
       + 20*a33 *m1 *m2 *n1  *n2 *n3 - 10*a33 *m1 *m2 *n1  *n2 *n3

                2   2   9   11   6   3         2   2   9   9   10
       + 150*a33 *m1 *m2 *n1  *n2 *n3  - 60*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   9   8   3          2   2   9   9   6   5
       + 18*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   7   12             2   2   9   7   10   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 - 256*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   7   8   5          2   2   9   7   6   7
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   5   14            2   2   9   5   12   3
       + 20*a33 *m1 *m2 *n1 *n2  *n3 - 76*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   5   10   5         2   2   9   5   8   7
       - 320*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   3   14   3         2   2   9   3   12   5
       + 48*a33 *m1 *m2 *n1 *n2  *n3  - 72*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   3   10   7         2   2   9      14   5
       - 168*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1*n2  *n3

               2   2   9      12   7         2      10   12   7
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 10*a33 *m1*m2  *n1  *n2 *n3

               2      10   10   9            2      10   10   7   3
       + 10*a33 *m1*m2  *n1  *n2 *n3 + 60*a33 *m1*m2  *n1  *n2 *n3

               2      10   8   11            2      10   8   9   3
       - 10*a33 *m1*m2  *n1 *n2  *n3 + 66*a33 *m1*m2  *n1 *n2 *n3

                2      10   8   7   5         2      10   6   13
       + 112*a33 *m1*m2  *n1 *n2 *n3  - 10*a33 *m1*m2  *n1 *n2  *n3

               2      10   6   11   3          2      10   6   9   5
       - 26*a33 *m1*m2  *n1 *n2  *n3  + 112*a33 *m1*m2  *n1 *n2 *n3

               2      10   6   7   7         2      10   4   13   3
       + 64*a33 *m1*m2  *n1 *n2 *n3  - 32*a33 *m1*m2  *n1 *n2  *n3

               2      10   4   11   5         2      10   4   9   7
       - 24*a33 *m1*m2  *n1 *n2  *n3  + 40*a33 *m1*m2  *n1 *n2 *n3

               2      10   2   13   5         2      10   2   11   7
       - 24*a33 *m1*m2  *n1 *n2  *n3  - 24*a33 *m1*m2  *n1 *n2  *n3

              2   11   11   8           2   11   9   10
       + 2*a33 *m2  *n1  *n2 *n3 + 4*a33 *m2  *n1 *n2  *n3

               2   11   9   8   3        2   11   7   12
       + 10*a33 *m2  *n1 *n2 *n3  + 2*a33 *m2  *n1 *n2  *n3

               2   11   7   10   3         2   11   7   8   5
       + 18*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2 *n3

              2   11   5   12   3         2   11   5   10   5
       + 8*a33 *m2  *n1 *n2  *n3  + 24*a33 *m2  *n1 *n2  *n3

              2   11   5   8   7        2   11   3   12   5
       + 8*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

              2   11   3   10   7                   2   11   12   6   2
       + 8*a33 *m2  *n1 *n2  *n3 ) + u1*u3*v3*(2*a33 *m1  *n1  *n2 *n3

              2   11   12   4   4        2   11   12   2   6
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

              2   11   10   8   2         2   11   10   6   4
       + 4*a33 *m1  *n1  *n2 *n3  - 16*a33 *m1  *n1  *n2 *n3

               2   11   10   4   6        2   11   8   10   2
       + 16*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2  *n3

              2   11   8   8   4        2   11   8   6   6
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   10      13   7         2   10      13   5   2
       + 2*a33 *m1  *m2*n1  *n2  - 16*a33 *m1  *m2*n1  *n2 *n3

               2   10      13   3   4         2   10      13      6
       + 32*a33 *m1  *m2*n1  *n2 *n3  - 16*a33 *m1  *m2*n1  *n2*n3

              2   10      11   9         2   10      11   7   2
       + 6*a33 *m1  *m2*n1  *n2  - 28*a33 *m1  *m2*n1  *n2 *n3

               2   10      11   5   4         2   10      11   3   6
       + 16*a33 *m1  *m2*n1  *n2 *n3  + 32*a33 *m1  *m2*n1  *n2 *n3

              2   10      9   11        2   10      9   9   2
       + 6*a33 *m1  *m2*n1 *n2   - 8*a33 *m1  *m2*n1 *n2 *n3

               2   10      9   7   4          2   10      9   5   6
       - 64*a33 *m1  *m2*n1 *n2 *n3  + 112*a33 *m1  *m2*n1 *n2 *n3

              2   10      7   13        2   10      7   11   2
       + 2*a33 *m1  *m2*n1 *n2   + 4*a33 *m1  *m2*n1 *n2  *n3

               2   10      7   9   4         2   10      7   7   6
       - 48*a33 *m1  *m2*n1 *n2 *n3  + 64*a33 *m1  *m2*n1 *n2 *n3

              2   9   2   14   6         2   9   2   14   4   2
       - 8*a33 *m1 *m2 *n1  *n2  + 36*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   14   2   4        2   9   2   14   6
       - 40*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n3

               2   9   2   12   8          2   9   2   12   4   4
       - 14*a33 *m1 *m2 *n1  *n2  + 128*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   12   2   6        2   9   2   10   10
       - 112*a33 *m1 *m2 *n1  *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

                2   9   2   10   8   2          2   9   2   10   6   4
       - 126*a33 *m1 *m2 *n1  *n2 *n3  + 264*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   10   4   6         2   9   2   8   12
       - 24*a33 *m1 *m2 *n1  *n2 *n3  + 22*a33 *m1 *m2 *n1 *n2

                2   9   2   8   10   2         2   9   2   8   8   4
       - 108*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   8   6   6         2   9   2   6   14
       + 320*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               2   9   2   6   12   2          2   9   2   6   10   4
       - 18*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   6   8   6         2   8   3   15   5
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1  *n2

               2   8   3   15   3   2         2   8   3   15      4
       - 32*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

              2   8   3   13   7          2   8   3   13   5   2
       - 4*a33 *m1 *m2 *n1  *n2  + 128*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   13   3   4         2   8   3   13      6
       - 240*a33 *m1 *m2 *n1  *n2 *n3  + 64*a33 *m1 *m2 *n1  *n2*n3

               2   8   3   11   9          2   8   3   11   7   2
       - 64*a33 *m1 *m2 *n1  *n2  + 256*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   11   5   4          2   8   3   11   3   6
       + 32*a33 *m1 *m2 *n1  *n2 *n3  - 320*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   9   11         2   8   3   9   9   2
       - 48*a33 *m1 *m2 *n1 *n2   - 80*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   9   7   4          2   8   3   9   5   6
       + 736*a33 *m1 *m2 *n1 *n2 *n3  - 384*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   7   13          2   8   3   7   11   2
       + 20*a33 *m1 *m2 *n1 *n2   - 256*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   7   9   4          2   8   3   7   7   6
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   5   15         2   8   3   5   13   2
       + 20*a33 *m1 *m2 *n1 *n2   - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   5   11   4          2   8   3   5   9   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

              2   7   4   16   4         2   7   4   16   2   2
       - 8*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   14   6          2   7   4   14   4   2
       + 36*a33 *m1 *m2 *n1  *n2  - 164*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   14   2   4         2   7   4   12   8
       + 112*a33 *m1 *m2 *n1  *n2 *n3  + 76*a33 *m1 *m2 *n1  *n2

               2   7   4   12   6   2          2   7   4   12   4   4
       + 38*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   12   2   6         2   7   4   10   10
       + 224*a33 *m1 *m2 *n1  *n2 *n3  - 48*a33 *m1 *m2 *n1  *n2

                2   7   4   10   8   2          2   7   4   10   6   4
       + 648*a33 *m1 *m2 *n1  *n2 *n3  - 672*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   10   4   6          2   7   4   8   12
       - 448*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1 *n2

                2   7   4   8   10   2          2   7   4   8   8   4
       + 346*a33 *m1 *m2 *n1 *n2  *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

                 2   7   4   8   6   6         2   7   4   6   14
       - 1008*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

                2   7   4   6   12   2          2   7   4   6   10   4
       - 220*a33 *m1 *m2 *n1 *n2  *n3  + 784*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   6   8   6         2   7   4   4   16
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

                2   7   4   4   14   2          2   7   4   4   10   6
       - 130*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2  *n3

              2   6   5   17   3         2   6   5   15   5
       + 2*a33 *m1 *m2 *n1  *n2  - 34*a33 *m1 *m2 *n1  *n2

               2   6   5   15   3   2        2   6   5   13   7
       + 60*a33 *m1 *m2 *n1  *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

                2   6   5   13   5   2          2   6   5   13   3   4
       - 312*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   11   9          2   6   5   11   7   2
       + 162*a33 *m1 *m2 *n1  *n2  - 444*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   11   5   4          2   6   5   11   3   6
       - 560*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   9   11          2   6   5   9   9   2
       + 90*a33 *m1 *m2 *n1 *n2   + 528*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   5   9   7   4          2   6   5   9   5   6
       - 1568*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   7   13          2   6   5   7   11   2
       - 90*a33 *m1 *m2 *n1 *n2   + 732*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   7   7   6         2   6   5   5   15
       - 1344*a33 *m1 *m2 *n1 *n2 *n3  - 50*a33 *m1 *m2 *n1 *n2

               2   6   5   5   13   2          2   6   5   5   11   4
       + 24*a33 *m1 *m2 *n1 *n2  *n3  + 784*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   5   9   6         2   6   5   3   17
       - 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   6   5   3   15   2          2   6   5   3   13   4
       - 108*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   3   11   6         2   5   6   16   4
       + 448*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   5   6   14   6          2   5   6   14   4   2
       - 50*a33 *m1 *m2 *n1  *n2  + 150*a33 *m1 *m2 *n1  *n2 *n3

               2   5   6   12   8          2   5   6   12   6   2
       - 90*a33 *m1 *m2 *n1  *n2  - 220*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   12   4   4         2   5   6   10   10
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 90*a33 *m1 *m2 *n1  *n2

                2   5   6   10   8   2          2   5   6   10   4   6
       - 830*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   8   12          2   5   6   8   10   2
       + 162*a33 *m1 *m2 *n1 *n2   - 136*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   8   8   4          2   5   6   8   6   6
       - 1568*a33 *m1 *m2 *n1 *n2 *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

              2   5   6   6   14          2   5   6   6   12   2
       + 6*a33 *m1 *m2 *n1 *n2   + 542*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   6   10   4           2   5   6   6   8   6
       - 784*a33 *m1 *m2 *n1 *n2  *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   4   16          2   5   6   4   14   2
       - 34*a33 *m1 *m2 *n1 *n2   + 172*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   4   12   4          2   5   6   4   10   6
       + 336*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   2   18         2   5   6   2   16   2
       + 2*a33 *m1 *m2 *n1 *n2   - 46*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   2   14   4          2   5   6   2   12   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   15   5         2   4   7   13   7
       + 20*a33 *m1 *m2 *n1  *n2  - 20*a33 *m1 *m2 *n1  *n2

                2   4   7   13   5   2          2   4   7   11   9
       + 200*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2

               2   4   7   11   7   2          2   4   7   11   5   4
       + 80*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   9   11          2   4   7   9   9   2
       - 48*a33 *m1 *m2 *n1 *n2   - 584*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   9   7   4          2   4   7   9   5   6
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   7   13          2   4   7   7   11   2
       + 76*a33 *m1 *m2 *n1 *n2   - 480*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   7   9   4          2   4   7   7   7   6
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   5   15          2   4   7   5   13   2
       + 36*a33 *m1 *m2 *n1 *n2   + 104*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   5   11   4          2   4   7   5   9   6
       - 736*a33 *m1 *m2 *n1 *n2  *n3  - 384*a33 *m1 *m2 *n1 *n2 *n3

              2   4   7   3   17          2   4   7   3   15   2
       - 8*a33 *m1 *m2 *n1 *n2   + 112*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   3   13   4          2   4   7   3   11   6
       - 16*a33 *m1 *m2 *n1 *n2  *n3  - 320*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7      17   2         2   4   7      15   4
       - 8*a33 *m1 *m2 *n1*n2  *n3  + 48*a33 *m1 *m2 *n1*n2  *n3

               2   4   7      13   6         2   3   8   14   6
       + 64*a33 *m1 *m2 *n1*n2  *n3  + 20*a33 *m1 *m2 *n1  *n2

               2   3   8   12   8          2   3   8   12   6   2
       + 20*a33 *m1 *m2 *n1  *n2  + 150*a33 *m1 *m2 *n1  *n2 *n3

               2   3   8   10   10          2   3   8   10   8   2
       - 48*a33 *m1 *m2 *n1  *n2   + 228*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   10   6   4         2   3   8   8   12
       + 336*a33 *m1 *m2 *n1  *n2 *n3  - 64*a33 *m1 *m2 *n1 *n2

                2   3   8   8   10   2          2   3   8   8   8   4
       - 102*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   8   6   6        2   3   8   6   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

                2   3   8   6   12   2         2   3   8   6   10   4
       - 264*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   6   8   6         2   3   8   4   16
       + 320*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

               2   3   8   4   14   2          2   3   8   4   12   4
       - 60*a33 *m1 *m2 *n1 *n2  *n3  - 264*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   4   10   6         2   3   8   2   16   2
       - 24*a33 *m1 *m2 *n1 *n2  *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   2   14   4          2   3   8   2   12   6
       - 64*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

              2   3   8   16   4        2   3   8   14   6
       + 8*a33 *m1 *m2 *n2  *n3  + 8*a33 *m1 *m2 *n2  *n3

               2   2   9   13   7         2   2   9   11   9
       + 10*a33 *m1 *m2 *n1  *n2  + 22*a33 *m1 *m2 *n1  *n2

               2   2   9   11   7   2        2   2   9   9   11
       + 60*a33 *m1 *m2 *n1  *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

                2   2   9   9   9   2          2   2   9   9   7   4
       + 136*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   7   13         2   2   9   7   11   2
       - 14*a33 *m1 *m2 *n1 *n2   + 68*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   7   9   4         2   2   9   7   7   6
       + 240*a33 *m1 *m2 *n1 *n2 *n3  + 64*a33 *m1 *m2 *n1 *n2 *n3

              2   2   9   5   15         2   2   9   5   13   2
       - 8*a33 *m1 *m2 *n1 *n2   - 32*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   5   11   4          2   2   9   5   9   6
       + 128*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   3   15   2         2   2   9   3   13   4
       - 24*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   3   11   6         2   2   9      15   4
       + 32*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1*n2  *n3

               2   2   9      13   6        2      10   12   8
       - 16*a33 *m1 *m2 *n1*n2  *n3  + 2*a33 *m1*m2  *n1  *n2

              2      10   10   10         2      10   10   8   2
       + 6*a33 *m1*m2  *n1  *n2   + 10*a33 *m1*m2  *n1  *n2 *n3

              2      10   8   12         2      10   8   10   2
       + 6*a33 *m1*m2  *n1 *n2   + 28*a33 *m1*m2  *n1 *n2  *n3

               2      10   8   8   4        2      10   6   14
       + 16*a33 *m1*m2  *n1 *n2 *n3  + 2*a33 *m1*m2  *n1 *n2

               2      10   6   12   2         2      10   6   10   4
       + 26*a33 *m1*m2  *n1 *n2  *n3  + 40*a33 *m1*m2  *n1 *n2  *n3

              2      10   6   8   6        2      10   4   14   2
       + 8*a33 *m1*m2  *n1 *n2 *n3  + 8*a33 *m1*m2  *n1 *n2  *n3

               2      10   4   12   4         2      10   4   10   6
       + 32*a33 *m1*m2  *n1 *n2  *n3  + 16*a33 *m1*m2  *n1 *n2  *n3

              2      10   2   14   4        2      10   2   12   6
       + 8*a33 *m1*m2  *n1 *n2  *n3  + 8*a33 *m1*m2  *n1 *n2  *n3 ) + u1*u3*(

                 10   13   6   3           10   13   4   5
       - 2*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 10   13   2   7           10   11   8   3
       - 8*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

                  10   11   6   5            10   11   4   7
       + 16*a33*m1  *n1  *n2 *n3  - 16*a33*m1  *n1  *n2 *n3

                 10   9   10   3           10   9   8   5
       - 2*a33*m1  *n1 *n2  *n3  + 8*a33*m1  *n1 *n2 *n3

                 10   9   6   7           9      14   7
       - 8*a33*m1  *n1 *n2 *n3  - 2*a33*m1 *m2*n1  *n2 *n3

                  9      14   5   3            9      14   3   5
       + 16*a33*m1 *m2*n1  *n2 *n3  - 32*a33*m1 *m2*n1  *n2 *n3

                  9      14      7           9      12   9
       + 16*a33*m1 *m2*n1  *n2*n3  - 6*a33*m1 *m2*n1  *n2 *n3

                  9      12   7   3            9      12   5   5
       + 28*a33*m1 *m2*n1  *n2 *n3  - 16*a33*m1 *m2*n1  *n2 *n3

                  9      12   3   7           9      10   11
       - 32*a33*m1 *m2*n1  *n2 *n3  - 6*a33*m1 *m2*n1  *n2  *n3

                 9      10   9   3            9      10   7   5
       + 8*a33*m1 *m2*n1  *n2 *n3  + 64*a33*m1 *m2*n1  *n2 *n3

                   9      10   5   7           9      8   13
       - 112*a33*m1 *m2*n1  *n2 *n3  - 2*a33*m1 *m2*n1 *n2  *n3

                 9      8   11   3            9      8   9   5
       - 4*a33*m1 *m2*n1 *n2  *n3  + 48*a33*m1 *m2*n1 *n2 *n3

                  9      8   7   7           8   2   15   6
       - 64*a33*m1 *m2*n1 *n2 *n3  + 8*a33*m1 *m2 *n1  *n2 *n3

                  8   2   15   4   3            8   2   15   2   5
       - 36*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2 *n3

                 8   2   15   7            8   2   13   8
       - 8*a33*m1 *m2 *n1  *n3  + 14*a33*m1 *m2 *n1  *n2 *n3

                   8   2   13   4   5             8   2   13   2   7
       - 128*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                 8   2   11   10                8   2   11   8   3
       - 6*a33*m1 *m2 *n1  *n2  *n3 + 126*a33*m1 *m2 *n1  *n2 *n3

                   8   2   11   6   5            8   2   11   4   7
       - 264*a33*m1 *m2 *n1  *n2 *n3  + 24*a33*m1 *m2 *n1  *n2 *n3

                  8   2   9   12                8   2   9   10   3
       - 22*a33*m1 *m2 *n1 *n2  *n3 + 108*a33*m1 *m2 *n1 *n2  *n3

                  8   2   9   8   5             8   2   9   6   7
       + 16*a33*m1 *m2 *n1 *n2 *n3  - 320*a33*m1 *m2 *n1 *n2 *n3

                  8   2   7   14               8   2   7   12   3
       - 10*a33*m1 *m2 *n1 *n2  *n3 + 18*a33*m1 *m2 *n1 *n2  *n3

                   8   2   7   10   5             8   2   7   8   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  7   3   16   5               7   3   16   3   3
       - 12*a33*m1 *m2 *n1  *n2 *n3 + 32*a33*m1 *m2 *n1  *n2 *n3

                  7   3   16      5           7   3   14   7
       - 16*a33*m1 *m2 *n1  *n2*n3  + 4*a33*m1 *m2 *n1  *n2 *n3

                   7   3   14   5   3             7   3   14   3   5
       - 128*a33*m1 *m2 *n1  *n2 *n3  + 240*a33*m1 *m2 *n1  *n2 *n3

                  7   3   14      7            7   3   12   9
       - 64*a33*m1 *m2 *n1  *n2*n3  + 64*a33*m1 *m2 *n1  *n2 *n3

                   7   3   12   7   3            7   3   12   5   5
       - 256*a33*m1 *m2 *n1  *n2 *n3  - 32*a33*m1 *m2 *n1  *n2 *n3

                   7   3   12   3   7            7   3   10   11
       + 320*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2  *n3

                  7   3   10   9   3             7   3   10   7   5
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 736*a33*m1 *m2 *n1  *n2 *n3

                   7   3   10   5   7            7   3   8   13
       + 384*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1 *n2  *n3

                   7   3   8   11   3             7   3   8   9   5
       + 256*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                   7   3   8   7   7            7   3   6   15
       - 448*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2  *n3

                  7   3   6   13   3             7   3   6   11   5
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   7   3   6   9   7           6   4   17   4
       - 448*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1  *n2 *n3

                  6   4   17   2   3            6   4   15   6
       - 10*a33*m1 *m2 *n1  *n2 *n3  - 36*a33*m1 *m2 *n1  *n2 *n3

                   6   4   15   4   3             6   4   15   2   5
       + 164*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   13   8               6   4   13   6   3
       - 76*a33*m1 *m2 *n1  *n2 *n3 - 38*a33*m1 *m2 *n1  *n2 *n3

                   6   4   13   4   5             6   4   13   2   7
       + 560*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                  6   4   11   10                6   4   11   8   3
       + 48*a33*m1 *m2 *n1  *n2  *n3 - 648*a33*m1 *m2 *n1  *n2 *n3

                   6   4   11   6   5             6   4   11   4   7
       + 672*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   6   4   9   12                6   4   9   10   3
       + 120*a33*m1 *m2 *n1 *n2  *n3 - 346*a33*m1 *m2 *n1 *n2  *n3

                   6   4   9   8   5              6   4   9   6   7
       - 784*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  6   4   7   14                6   4   7   12   3
       + 20*a33*m1 *m2 *n1 *n2  *n3 + 220*a33*m1 *m2 *n1 *n2  *n3

                   6   4   7   10   5             6   4   7   8   7
       - 784*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  6   4   5   16                6   4   5   14   3
       - 20*a33*m1 *m2 *n1 *n2  *n3 + 130*a33*m1 *m2 *n1 *n2  *n3

                   6   4   5   10   7           5   5   18   3
       - 560*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1  *n2 *n3

                  5   5   16   5               5   5   16   3   3
       + 34*a33*m1 *m2 *n1  *n2 *n3 - 60*a33*m1 *m2 *n1  *n2 *n3

                 5   5   14   7                5   5   14   5   3
       - 6*a33*m1 *m2 *n1  *n2 *n3 + 312*a33*m1 *m2 *n1  *n2 *n3

                   5   5   14   3   5             5   5   12   9
       - 336*a33*m1 *m2 *n1  *n2 *n3  - 162*a33*m1 *m2 *n1  *n2 *n3

                   5   5   12   7   3             5   5   12   5   5
       + 444*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                   5   5   12   3   7            5   5   10   11
       - 448*a33*m1 *m2 *n1  *n2 *n3  - 90*a33*m1 *m2 *n1  *n2  *n3

                   5   5   10   9   3              5   5   10   7   5
       - 528*a33*m1 *m2 *n1  *n2 *n3  + 1568*a33*m1 *m2 *n1  *n2 *n3

                   5   5   10   5   7            5   5   8   13
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1 *n2  *n3

                   5   5   8   11   3              5   5   8   7   7
       - 732*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                  5   5   6   15               5   5   6   13   3
       + 50*a33*m1 *m2 *n1 *n2  *n3 - 24*a33*m1 *m2 *n1 *n2  *n3

                   5   5   6   11   5             5   5   6   9   7
       - 784*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                  5   5   4   17                5   5   4   15   3
       - 10*a33*m1 *m2 *n1 *n2  *n3 + 108*a33*m1 *m2 *n1 *n2  *n3

                   5   5   4   13   5             5   5   4   11   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                  4   6   17   4               4   6   15   6
       - 10*a33*m1 *m2 *n1  *n2 *n3 + 50*a33*m1 *m2 *n1  *n2 *n3

                   4   6   15   4   3            4   6   13   8
       - 150*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1  *n2 *n3

                   4   6   13   6   3             4   6   13   4   5
       + 220*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                  4   6   11   10                4   6   11   8   3
       - 90*a33*m1 *m2 *n1  *n2  *n3 + 830*a33*m1 *m2 *n1  *n2 *n3

                   4   6   11   4   7             4   6   9   12
       - 560*a33*m1 *m2 *n1  *n2 *n3  - 162*a33*m1 *m2 *n1 *n2  *n3

                   4   6   9   10   3              4   6   9   8   5
       + 136*a33*m1 *m2 *n1 *n2  *n3  + 1568*a33*m1 *m2 *n1 *n2 *n3

                   4   6   9   6   7           4   6   7   14
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 6*a33*m1 *m2 *n1 *n2  *n3

                   4   6   7   12   3             4   6   7   10   5
       - 542*a33*m1 *m2 *n1 *n2  *n3  + 784*a33*m1 *m2 *n1 *n2  *n3

                    4   6   7   8   7            4   6   5   16
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 34*a33*m1 *m2 *n1 *n2  *n3

                   4   6   5   14   3             4   6   5   12   5
       - 172*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2  *n3

                   4   6   5   10   7           4   6   3   18
       + 448*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1 *n2  *n3

                  4   6   3   16   3             4   6   3   14   5
       + 46*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   4   6   3   12   7            3   7   16   5
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2 *n3

                  3   7   14   7                3   7   14   5   3
       + 20*a33*m1 *m2 *n1  *n2 *n3 - 200*a33*m1 *m2 *n1  *n2 *n3

                   3   7   12   9               3   7   12   7   3
       + 120*a33*m1 *m2 *n1  *n2 *n3 - 80*a33*m1 *m2 *n1  *n2 *n3

                   3   7   12   5   5            3   7   10   11
       - 560*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2  *n3

                   3   7   10   9   3             3   7   10   7   5
       + 584*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   3   7   10   5   7            3   7   8   13
       - 448*a33*m1 *m2 *n1  *n2 *n3  - 76*a33*m1 *m2 *n1 *n2  *n3

                   3   7   8   11   3             3   7   8   9   5
       + 480*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                   3   7   8   7   7            3   7   6   15
       - 448*a33*m1 *m2 *n1 *n2 *n3  - 36*a33*m1 *m2 *n1 *n2  *n3

                   3   7   6   13   3             3   7   6   11   5
       - 104*a33*m1 *m2 *n1 *n2  *n3  + 736*a33*m1 *m2 *n1 *n2  *n3

                   3   7   6   9   7           3   7   4   17
       + 384*a33*m1 *m2 *n1 *n2 *n3  + 8*a33*m1 *m2 *n1 *n2  *n3

                   3   7   4   15   3            3   7   4   13   5
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2  *n3

                   3   7   4   11   7           3   7   2   17   3
       + 320*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2  *n3

                  3   7   2   15   5            3   7   2   13   7
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2  *n3

                  2   8   15   6               2   8   13   8
       - 20*a33*m1 *m2 *n1  *n2 *n3 - 20*a33*m1 *m2 *n1  *n2 *n3

                   2   8   13   6   3            2   8   11   10
       - 150*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2  *n3

                   2   8   11   8   3             2   8   11   6   5
       - 228*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  2   8   9   12                2   8   9   10   3
       + 64*a33*m1 *m2 *n1 *n2  *n3 + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   9   8   5             2   8   9   6   7
       - 560*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                 2   8   7   14                2   8   7   12   3
       + 4*a33*m1 *m2 *n1 *n2  *n3 + 264*a33*m1 *m2 *n1 *n2  *n3

                  2   8   7   10   5             2   8   7   8   7
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 320*a33*m1 *m2 *n1 *n2 *n3

                  2   8   5   16               2   8   5   14   3
       - 12*a33*m1 *m2 *n1 *n2  *n3 + 60*a33*m1 *m2 *n1 *n2  *n3

                   2   8   5   12   5            2   8   5   10   7
       + 264*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2  *n3

                  2   8   3   16   3            2   8   3   14   5
       - 24*a33*m1 *m2 *n1 *n2  *n3  + 64*a33*m1 *m2 *n1 *n2  *n3

                   2   8   3   12   7           2   8      16   5
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1*n2  *n3

                 2   8      14   7               9   14   7
       - 8*a33*m1 *m2 *n1*n2  *n3  - 10*a33*m1*m2 *n1  *n2 *n3

                     9   12   9                  9   12   7   3
       - 22*a33*m1*m2 *n1  *n2 *n3 - 60*a33*m1*m2 *n1  *n2 *n3

                    9   10   11                   9   10   9   3
       - 6*a33*m1*m2 *n1  *n2  *n3 - 136*a33*m1*m2 *n1  *n2 *n3

                      9   10   7   5               9   8   13
       - 112*a33*m1*m2 *n1  *n2 *n3  + 14*a33*m1*m2 *n1 *n2  *n3

                     9   8   11   3                9   8   9   5
       - 68*a33*m1*m2 *n1 *n2  *n3  - 240*a33*m1*m2 *n1 *n2 *n3

                     9   8   7   7              9   6   15
       - 64*a33*m1*m2 *n1 *n2 *n3  + 8*a33*m1*m2 *n1 *n2  *n3

                     9   6   13   3                9   6   11   5
       + 32*a33*m1*m2 *n1 *n2  *n3  - 128*a33*m1*m2 *n1 *n2  *n3

                      9   6   9   7               9   4   15   3
       - 112*a33*m1*m2 *n1 *n2 *n3  + 24*a33*m1*m2 *n1 *n2  *n3

                     9   4   13   5               9   4   11   7
       + 16*a33*m1*m2 *n1 *n2  *n3  - 32*a33*m1*m2 *n1 *n2  *n3

                     9   2   15   5               9   2   13   7
       + 16*a33*m1*m2 *n1 *n2  *n3  + 16*a33*m1*m2 *n1 *n2  *n3

                 10   13   8              10   11   10
       - 2*a33*m2  *n1  *n2 *n3 - 6*a33*m2  *n1  *n2  *n3

                  10   11   8   3           10   9   12
       - 10*a33*m2  *n1  *n2 *n3  - 6*a33*m2  *n1 *n2  *n3

                  10   9   10   3            10   9   8   5
       - 28*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2 *n3

                 10   7   14               10   7   12   3
       - 2*a33*m2  *n1 *n2  *n3 - 26*a33*m2  *n1 *n2  *n3

                  10   7   10   5           10   7   8   7
       - 40*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2 *n3

                 10   5   14   3            10   5   12   5
       - 8*a33*m2  *n1 *n2  *n3  - 32*a33*m2  *n1 *n2  *n3

                  10   5   10   7           10   3   14   5
       - 16*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3

                 10   3   12   7         2          2   11      10   7   2
       - 8*a33*m2  *n1 *n2  *n3 ) + u1*v1 *( - 2*a33 *m1  *m2*n1  *n2 *n3

              2   11      10   5   4        2   11      10   3   6
       + 8*a33 *m1  *m2*n1  *n2 *n3  - 8*a33 *m1  *m2*n1  *n2 *n3

              2   11      8   9   2        2   11      8   7   4
       - 2*a33 *m1  *m2*n1 *n2 *n3  + 8*a33 *m1  *m2*n1 *n2 *n3

              2   11      8   5   6        2   10   2   11   8
       - 8*a33 *m1  *m2*n1 *n2 *n3  - 2*a33 *m1  *m2 *n1  *n2

               2   10   2   11   6   2         2   10   2   11   4   4
       + 18*a33 *m1  *m2 *n1  *n2 *n3  - 40*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   11   2   6        2   10   2   9   10
       + 24*a33 *m1  *m2 *n1  *n2 *n3  - 4*a33 *m1  *m2 *n1 *n2

               2   10   2   9   8   2        2   10   2   9   6   4
       + 14*a33 *m1  *m2 *n1 *n2 *n3  + 8*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   9   4   6        2   10   2   7   12
       - 40*a33 *m1  *m2 *n1 *n2 *n3  - 2*a33 *m1  *m2 *n1 *n2

              2   10   2   7   10   2         2   10   2   7   8   4
       - 4*a33 *m1  *m2 *n1 *n2  *n3  + 48*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   7   6   6         2   9   3   12   7
       - 64*a33 *m1  *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   9   3   12   5   2         2   9   3   12   3   4
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 72*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   12      6         2   9   3   10   9
       - 24*a33 *m1 *m2 *n1  *n2*n3  + 10*a33 *m1 *m2 *n1  *n2

               2   9   3   10   7   2          2   9   3   10   5   4
       + 24*a33 *m1 *m2 *n1  *n2 *n3  - 184*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   10   3   6         2   9   3   8   11
       + 168*a33 *m1 *m2 *n1  *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   9   3   8   9   2          2   9   3   8   7   4
       + 94*a33 *m1 *m2 *n1 *n2 *n3  - 144*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   8   5   6         2   9   3   6   13
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   9   3   6   11   2          2   9   3   6   9   4
       + 18*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   6   7   6         2   8   4   13   6
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2

               2   8   4   13   4   2         2   8   4   13   2   4
       + 68*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   4   13   6         2   8   4   11   8
       + 8*a33 *m1 *m2 *n1  *n3  + 10*a33 *m1 *m2 *n1  *n2

                2   8   4   11   6   2          2   8   4   11   4   4
       - 196*a33 *m1 *m2 *n1  *n2 *n3  + 424*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   11   2   6         2   8   4   9   10
       - 184*a33 *m1 *m2 *n1  *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

                2   8   4   9   8   2          2   8   4   9   6   4
       - 186*a33 *m1 *m2 *n1 *n2 *n3  - 192*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   9   4   6         2   8   4   7   12
       + 480*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   8   4   7   10   2          2   8   4   7   8   4
       + 158*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   7   6   6         2   8   4   5   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   8   4   5   12   2          2   8   4   5   10   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   8   4   5   8   6         2   7   5   14   5
       - 448*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2

               2   7   5   14   3   2         2   7   5   14      4
       - 42*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   12   7          2   7   5   12   5   2
       - 60*a33 *m1 *m2 *n1  *n2  + 334*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   12   3   4         2   7   5   12      6
       - 368*a33 *m1 *m2 *n1  *n2 *n3  + 64*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   10   9          2   7   5   10   7   2
       - 80*a33 *m1 *m2 *n1  *n2  - 116*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   10   5   4          2   7   5   10   3   6
       + 960*a33 *m1 *m2 *n1  *n2 *n3  - 608*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   8   11          2   7   5   8   9   2
       + 80*a33 *m1 *m2 *n1 *n2   - 612*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   8   7   4          2   7   5   8   5   6
       + 448*a33 *m1 *m2 *n1 *n2 *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   6   13         2   7   5   6   11   2
       + 60*a33 *m1 *m2 *n1 *n2   + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   6   9   4          2   7   5   6   7   6
       - 896*a33 *m1 *m2 *n1 *n2 *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   4   15          2   7   5   4   13   2
       - 20*a33 *m1 *m2 *n1 *n2   + 130*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   4   9   6         2   6   6   15   4
       - 560*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   6   6   15   2   2         2   6   6   13   6
       + 10*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2

                2   6   6   13   4   2          2   6   6   13   2   4
       - 234*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   11   8          2   6   6   11   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 584*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   6   11   4   4          2   6   6   11   2   6
       - 1008*a33 *m1 *m2 *n1  *n2 *n3  + 224*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   9   10          2   6   6   9   8   2
       - 200*a33 *m1 *m2 *n1 *n2   + 508*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   9   6   4           2   6   6   9   4   6
       + 896*a33 *m1 *m2 *n1 *n2 *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   7   12          2   6   6   7   10   2
       - 10*a33 *m1 *m2 *n1 *n2   - 690*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   6   7   8   4          2   6   6   7   6   6
       + 1456*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   5   14          2   6   6   5   12   2
       + 80*a33 *m1 *m2 *n1 *n2   - 262*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   5   10   4           2   6   6   5   8   6
       - 672*a33 *m1 *m2 *n1 *n2  *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   3   16          2   6   6   3   14   2
       - 10*a33 *m1 *m2 *n1 *n2   + 108*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   3   12   4          2   6   6   3   10   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2  *n3

              2   5   7   16   3         2   5   7   14   5
       + 2*a33 *m1 *m2 *n1  *n2  - 46*a33 *m1 *m2 *n1  *n2

               2   5   7   14   3   2          2   5   7   12   7
       + 60*a33 *m1 *m2 *n1  *n2 *n3  + 102*a33 *m1 *m2 *n1  *n2

                2   5   7   12   5   2          2   5   7   12   3   4
       - 522*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   10   9          2   5   7   10   7   2
       + 150*a33 *m1 *m2 *n1  *n2  + 298*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   7   10   5   4          2   5   7   10   3   6
       - 1456*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   8   11           2   5   7   8   9   2
       - 150*a33 *m1 *m2 *n1 *n2   + 1060*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   8   7   4           2   5   7   8   5   6
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 1232*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   6   13          2   5   7   6   11   2
       - 102*a33 *m1 *m2 *n1 *n2   - 192*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   7   6   9   4          2   5   7   6   7   6
       + 1680*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   5   7   4   15          2   5   7   4   13   2
       + 46*a33 *m1 *m2 *n1 *n2   - 326*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   4   11   4           2   5   7   4   9   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

              2   5   7   2   17         2   5   7   2   15   2
       - 2*a33 *m1 *m2 *n1 *n2   + 46*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   2   13   4          2   5   7   2   11   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

               2   4   8   15   4         2   4   8   13   6
       + 10*a33 *m1 *m2 *n1  *n2  - 80*a33 *m1 *m2 *n1  *n2

                2   4   8   13   4   2         2   4   8   11   8
       + 150*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2

                2   4   8   11   6   2          2   4   8   11   4   4
       - 570*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

                2   4   8   9   10          2   4   8   9   8   2
       + 200*a33 *m1 *m2 *n1 *n2   - 340*a33 *m1 *m2 *n1 *n2 *n3

                 2   4   8   9   6   4          2   4   8   9   4   6
       - 1120*a33 *m1 *m2 *n1 *n2 *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   7   12          2   4   8   7   10   2
       + 10*a33 *m1 *m2 *n1 *n2   + 788*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   8   7   8   4          2   4   8   7   6   6
       - 1008*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   5   14          2   4   8   5   12   2
       - 80*a33 *m1 *m2 *n1 *n2   + 234*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   5   10   4          2   4   8   5   8   6
       + 896*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   3   16          2   4   8   3   14   2
       + 10*a33 *m1 *m2 *n1 *n2   - 166*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   3   12   4          2   4   8   3   10   6
       + 176*a33 *m1 *m2 *n1 *n2  *n3  + 608*a33 *m1 *m2 *n1 *n2  *n3

              2   4   8      16   2         2   4   8      14   4
       + 8*a33 *m1 *m2 *n1*n2  *n3  - 48*a33 *m1 *m2 *n1*n2  *n3

               2   4   8      12   6         2   3   9   14   5
       - 64*a33 *m1 *m2 *n1*n2  *n3  + 20*a33 *m1 *m2 *n1  *n2

               2   3   9   12   7          2   3   9   12   5   2
       - 60*a33 *m1 *m2 *n1  *n2  + 200*a33 *m1 *m2 *n1  *n2 *n3

               2   3   9   10   9          2   3   9   10   7   2
       - 80*a33 *m1 *m2 *n1  *n2  - 270*a33 *m1 *m2 *n1  *n2 *n3

                2   3   9   10   5   4         2   3   9   8   11
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2

                2   3   9   8   9   2          2   3   9   8   7   4
       - 542*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   8   5   6         2   3   9   6   13
       + 448*a33 *m1 *m2 *n1 *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

                2   3   9   6   11   2          2   3   9   6   9   4
       + 164*a33 *m1 *m2 *n1 *n2  *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   6   7   6         2   3   9   4   15
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

                2   3   9   4   13   2          2   3   9   4   11   4
       + 204*a33 *m1 *m2 *n1 *n2  *n3  + 128*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   4   9   6         2   3   9   2   15   2
       - 480*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   2   13   4          2   3   9   2   11   6
       + 120*a33 *m1 *m2 *n1 *n2  *n3  + 184*a33 *m1 *m2 *n1 *n2  *n3

              2   3   9   15   4        2   3   9   13   6
       - 8*a33 *m1 *m2 *n2  *n3  - 8*a33 *m1 *m2 *n2  *n3

               2   2   10   13   6         2   2   10   11   8
       + 20*a33 *m1 *m2  *n1  *n2  - 10*a33 *m1 *m2  *n1  *n2

                2   2   10   11   6   2         2   2   10   9   10
       + 150*a33 *m1 *m2  *n1  *n2 *n3  - 60*a33 *m1 *m2  *n1 *n2

               2   2   10   9   8   2          2   2   10   9   6   4
       + 18*a33 *m1 *m2  *n1 *n2 *n3  + 336*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   7   12          2   2   10   7   10   2
       - 10*a33 *m1 *m2  *n1 *n2   - 256*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   7   8   4          2   2   10   7   6   6
       + 112*a33 *m1 *m2  *n1 *n2 *n3  + 224*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   5   14         2   2   10   5   12   2
       + 20*a33 *m1 *m2  *n1 *n2   - 76*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   5   10   4         2   2   10   5   8   6
       - 320*a33 *m1 *m2  *n1 *n2  *n3  + 32*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   3   14   2         2   2   10   3   12   4
       + 48*a33 *m1 *m2  *n1 *n2  *n3  - 72*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   3   10   6         2   2   10      14   4
       - 168*a33 *m1 *m2  *n1 *n2  *n3  + 24*a33 *m1 *m2  *n1*n2  *n3

               2   2   10      12   6         2      11   12   7
       + 24*a33 *m1 *m2  *n1*n2  *n3  + 10*a33 *m1*m2  *n1  *n2

               2      11   10   9         2      11   10   7   2
       + 10*a33 *m1*m2  *n1  *n2  + 60*a33 *m1*m2  *n1  *n2 *n3

               2      11   8   11         2      11   8   9   2
       - 10*a33 *m1*m2  *n1 *n2   + 66*a33 *m1*m2  *n1 *n2 *n3

                2      11   8   7   4         2      11   6   13
       + 112*a33 *m1*m2  *n1 *n2 *n3  - 10*a33 *m1*m2  *n1 *n2

               2      11   6   11   2          2      11   6   9   4
       - 26*a33 *m1*m2  *n1 *n2  *n3  + 112*a33 *m1*m2  *n1 *n2 *n3

               2      11   6   7   6         2      11   4   13   2
       + 64*a33 *m1*m2  *n1 *n2 *n3  - 32*a33 *m1*m2  *n1 *n2  *n3

               2      11   4   11   4         2      11   4   9   6
       - 24*a33 *m1*m2  *n1 *n2  *n3  + 40*a33 *m1*m2  *n1 *n2 *n3

               2      11   2   13   4         2      11   2   11   6
       - 24*a33 *m1*m2  *n1 *n2  *n3  - 24*a33 *m1*m2  *n1 *n2  *n3

              2   12   11   8        2   12   9   10         2   12   9   8   2
       + 2*a33 *m2  *n1  *n2  + 4*a33 *m2  *n1 *n2   + 10*a33 *m2  *n1 *n2 *n3

              2   12   7   12         2   12   7   10   2
       + 2*a33 *m2  *n1 *n2   + 18*a33 *m2  *n1 *n2  *n3

               2   12   7   8   4        2   12   5   12   2
       + 16*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

               2   12   5   10   4        2   12   5   8   6
       + 24*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2 *n3

              2   12   3   12   4        2   12   3   10   6
       + 8*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3 ) + u1*v1*v2*(

              2   12   10   7   2        2   12   10   5   4
       - 2*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

              2   12   10   3   6        2   12   8   9   2
       - 8*a33 *m1  *n1  *n2 *n3  - 2*a33 *m1  *n1 *n2 *n3

              2   12   8   7   4        2   12   8   5   6
       + 8*a33 *m1  *n1 *n2 *n3  - 8*a33 *m1  *n1 *n2 *n3

              2   11      11   8         2   11      11   6   2
       - 2*a33 *m1  *m2*n1  *n2  + 18*a33 *m1  *m2*n1  *n2 *n3

               2   11      11   4   4         2   11      11   2   6
       - 40*a33 *m1  *m2*n1  *n2 *n3  + 24*a33 *m1  *m2*n1  *n2 *n3

              2   11      9   10         2   11      9   8   2
       - 4*a33 *m1  *m2*n1 *n2   + 14*a33 *m1  *m2*n1 *n2 *n3

              2   11      9   6   4         2   11      9   4   6
       + 8*a33 *m1  *m2*n1 *n2 *n3  - 40*a33 *m1  *m2*n1 *n2 *n3

              2   11      7   12        2   11      7   10   2
       - 2*a33 *m1  *m2*n1 *n2   - 4*a33 *m1  *m2*n1 *n2  *n3

               2   11      7   8   4         2   11      7   6   6
       + 48*a33 *m1  *m2*n1 *n2 *n3  - 64*a33 *m1  *m2*n1 *n2 *n3

               2   10   2   12   7         2   10   2   12   5   2
       + 10*a33 *m1  *m2 *n1  *n2  - 52*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   12   3   4         2   10   2   12      6
       + 72*a33 *m1  *m2 *n1  *n2 *n3  - 24*a33 *m1  *m2 *n1  *n2*n3

               2   10   2   10   9         2   10   2   10   7   2
       + 10*a33 *m1  *m2 *n1  *n2  + 24*a33 *m1  *m2 *n1  *n2 *n3

                2   10   2   10   5   4          2   10   2   10   3   6
       - 184*a33 *m1  *m2 *n1  *n2 *n3  + 168*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   8   11         2   10   2   8   9   2
       - 10*a33 *m1  *m2 *n1 *n2   + 94*a33 *m1  *m2 *n1 *n2 *n3

                2   10   2   8   7   4         2   10   2   8   5   6
       - 144*a33 *m1  *m2 *n1 *n2 *n3  - 32*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   6   13         2   10   2   6   11   2
       - 10*a33 *m1  *m2 *n1 *n2   + 18*a33 *m1  *m2 *n1 *n2  *n3

                2   10   2   6   9   4          2   10   2   6   7   6
       + 112*a33 *m1  *m2 *n1 *n2 *n3  - 224*a33 *m1  *m2 *n1 *n2 *n3

               2   9   3   13   6         2   9   3   13   4   2
       - 20*a33 *m1 *m2 *n1  *n2  + 68*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   13   2   4        2   9   3   13   6
       - 56*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n3

               2   9   3   11   8          2   9   3   11   6   2
       + 10*a33 *m1 *m2 *n1  *n2  - 196*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   11   4   4          2   9   3   11   2   6
       + 424*a33 *m1 *m2 *n1  *n2 *n3  - 184*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   9   10          2   9   3   9   8   2
       + 60*a33 *m1 *m2 *n1 *n2   - 186*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   9   6   4          2   9   3   9   4   6
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 480*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   7   12          2   9   3   7   10   2
       + 10*a33 *m1 *m2 *n1 *n2   + 158*a33 *m1 *m2 *n1 *n2  *n3

                2   9   3   7   8   4          2   9   3   7   6   6
       - 560*a33 *m1 *m2 *n1 *n2 *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   5   14         2   9   3   5   12   2
       - 20*a33 *m1 *m2 *n1 *n2   + 80*a33 *m1 *m2 *n1 *n2  *n3

                2   9   3   5   10   4          2   9   3   5   8   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   14   5         2   8   4   14   3   2
       + 20*a33 *m1 *m2 *n1  *n2  - 42*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   14      4         2   8   4   12   7
       + 16*a33 *m1 *m2 *n1  *n2*n3  - 60*a33 *m1 *m2 *n1  *n2

                2   8   4   12   5   2          2   8   4   12   3   4
       + 334*a33 *m1 *m2 *n1  *n2 *n3  - 368*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   12      6         2   8   4   10   9
       + 64*a33 *m1 *m2 *n1  *n2*n3  - 80*a33 *m1 *m2 *n1  *n2

                2   8   4   10   7   2          2   8   4   10   5   4
       - 116*a33 *m1 *m2 *n1  *n2 *n3  + 960*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   10   3   6         2   8   4   8   11
       - 608*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2

                2   8   4   8   9   2          2   8   4   8   7   4
       - 612*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   8   5   6         2   8   4   6   13
       + 672*a33 *m1 *m2 *n1 *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

               2   8   4   6   11   2          2   8   4   6   9   4
       + 10*a33 *m1 *m2 *n1 *n2  *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   6   7   6         2   8   4   4   15
       + 784*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

                2   8   4   4   13   2          2   8   4   4   9   6
       + 130*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   15   4         2   7   5   15   2   2
       - 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   13   6          2   7   5   13   4   2
       + 80*a33 *m1 *m2 *n1  *n2  - 234*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   13   2   4         2   7   5   11   8
       + 112*a33 *m1 *m2 *n1  *n2 *n3  - 10*a33 *m1 *m2 *n1  *n2

                2   7   5   11   6   2           2   7   5   11   4   4
       + 584*a33 *m1 *m2 *n1  *n2 *n3  - 1008*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   11   2   6          2   7   5   9   10
       + 224*a33 *m1 *m2 *n1  *n2 *n3  - 200*a33 *m1 *m2 *n1 *n2

                2   7   5   9   8   2          2   7   5   9   6   4
       + 508*a33 *m1 *m2 *n1 *n2 *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

                 2   7   5   9   4   6         2   7   5   7   12
       - 1120*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                2   7   5   7   10   2           2   7   5   7   8   4
       - 690*a33 *m1 *m2 *n1 *n2  *n3  + 1456*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   7   6   6         2   7   5   5   14
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2

                2   7   5   5   12   2          2   7   5   5   10   4
       - 262*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2  *n3

                 2   7   5   5   8   6         2   7   5   3   16
       + 1232*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                2   7   5   3   14   2          2   7   5   3   12   4
       + 108*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   3   10   6        2   6   6   16   3
       - 448*a33 *m1 *m2 *n1 *n2  *n3  + 2*a33 *m1 *m2 *n1  *n2

               2   6   6   14   5         2   6   6   14   3   2
       - 46*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   12   7          2   6   6   12   5   2
       + 102*a33 *m1 *m2 *n1  *n2  - 522*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   12   3   4          2   6   6   10   9
       + 336*a33 *m1 *m2 *n1  *n2 *n3  + 150*a33 *m1 *m2 *n1  *n2

                2   6   6   10   7   2           2   6   6   10   5   4
       + 298*a33 *m1 *m2 *n1  *n2 *n3  - 1456*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   10   3   6          2   6   6   8   11
       + 448*a33 *m1 *m2 *n1  *n2 *n3  - 150*a33 *m1 *m2 *n1 *n2

                 2   6   6   8   9   2          2   6   6   8   7   4
       + 1060*a33 *m1 *m2 *n1 *n2 *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   6   8   5   6          2   6   6   6   13
       - 1232*a33 *m1 *m2 *n1 *n2 *n3  - 102*a33 *m1 *m2 *n1 *n2

                2   6   6   6   11   2           2   6   6   6   9   4
       - 192*a33 *m1 *m2 *n1 *n2  *n3  + 1680*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   6   7   6         2   6   6   4   15
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 46*a33 *m1 *m2 *n1 *n2

                2   6   6   4   13   2          2   6   6   4   11   4
       - 326*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   6   4   9   6        2   6   6   2   17
       + 1120*a33 *m1 *m2 *n1 *n2 *n3  - 2*a33 *m1 *m2 *n1 *n2

               2   6   6   2   15   2          2   6   6   2   13   4
       + 46*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   2   11   6         2   5   7   15   4
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   5   7   13   6          2   5   7   13   4   2
       - 80*a33 *m1 *m2 *n1  *n2  + 150*a33 *m1 *m2 *n1  *n2 *n3

               2   5   7   11   8          2   5   7   11   6   2
       + 10*a33 *m1 *m2 *n1  *n2  - 570*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   11   4   4          2   5   7   9   10
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 200*a33 *m1 *m2 *n1 *n2

                2   5   7   9   8   2           2   5   7   9   6   4
       - 340*a33 *m1 *m2 *n1 *n2 *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   9   4   6         2   5   7   7   12
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   5   7   7   10   2           2   5   7   7   8   4
       + 788*a33 *m1 *m2 *n1 *n2  *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   7   6   6         2   5   7   5   14
       - 784*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2

                2   5   7   5   12   2          2   5   7   5   10   4
       + 234*a33 *m1 *m2 *n1 *n2  *n3  + 896*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   5   8   6         2   5   7   3   16
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   5   7   3   14   2          2   5   7   3   12   4
       - 166*a33 *m1 *m2 *n1 *n2  *n3  + 176*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   3   10   6        2   5   7      16   2
       + 608*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1*n2  *n3

               2   5   7      14   4         2   5   7      12   6
       - 48*a33 *m1 *m2 *n1*n2  *n3  - 64*a33 *m1 *m2 *n1*n2  *n3

               2   4   8   14   5         2   4   8   12   7
       + 20*a33 *m1 *m2 *n1  *n2  - 60*a33 *m1 *m2 *n1  *n2

                2   4   8   12   5   2         2   4   8   10   9
       + 200*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1  *n2

                2   4   8   10   7   2          2   4   8   10   5   4
       - 270*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

               2   4   8   8   11          2   4   8   8   9   2
       + 80*a33 *m1 *m2 *n1 *n2   - 542*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   8   7   4          2   4   8   8   5   6
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   6   13          2   4   8   6   11   2
       + 60*a33 *m1 *m2 *n1 *n2   + 164*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   6   9   4          2   4   8   6   7   6
       - 896*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   4   15          2   4   8   4   13   2
       - 20*a33 *m1 *m2 *n1 *n2   + 204*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   4   11   4          2   4   8   4   9   6
       + 128*a33 *m1 *m2 *n1 *n2  *n3  - 480*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   2   15   2          2   4   8   2   13   4
       - 32*a33 *m1 *m2 *n1 *n2  *n3  + 120*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   2   11   6        2   4   8   15   4
       + 184*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n2  *n3

              2   4   8   13   6         2   3   9   13   6
       - 8*a33 *m1 *m2 *n2  *n3  + 20*a33 *m1 *m2 *n1  *n2

               2   3   9   11   8          2   3   9   11   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 150*a33 *m1 *m2 *n1  *n2 *n3

               2   3   9   9   10         2   3   9   9   8   2
       - 60*a33 *m1 *m2 *n1 *n2   + 18*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   9   6   4         2   3   9   7   12
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                2   3   9   7   10   2          2   3   9   7   8   4
       - 256*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   7   6   6         2   3   9   5   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

               2   3   9   5   12   2          2   3   9   5   10   4
       - 76*a33 *m1 *m2 *n1 *n2  *n3  - 320*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   5   8   6         2   3   9   3   14   2
       + 32*a33 *m1 *m2 *n1 *n2 *n3  + 48*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   3   12   4          2   3   9   3   10   6
       - 72*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9      14   4         2   3   9      12   6
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 24*a33 *m1 *m2 *n1*n2  *n3

               2   2   10   12   7         2   2   10   10   9
       + 10*a33 *m1 *m2  *n1  *n2  + 10*a33 *m1 *m2  *n1  *n2

               2   2   10   10   7   2         2   2   10   8   11
       + 60*a33 *m1 *m2  *n1  *n2 *n3  - 10*a33 *m1 *m2  *n1 *n2

               2   2   10   8   9   2          2   2   10   8   7   4
       + 66*a33 *m1 *m2  *n1 *n2 *n3  + 112*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   6   13         2   2   10   6   11   2
       - 10*a33 *m1 *m2  *n1 *n2   - 26*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   6   9   4         2   2   10   6   7   6
       + 112*a33 *m1 *m2  *n1 *n2 *n3  + 64*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   4   13   2         2   2   10   4   11   4
       - 32*a33 *m1 *m2  *n1 *n2  *n3  - 24*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   4   9   6         2   2   10   2   13   4
       + 40*a33 *m1 *m2  *n1 *n2 *n3  - 24*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   2   11   6        2      11   11   8
       - 24*a33 *m1 *m2  *n1 *n2  *n3  + 2*a33 *m1*m2  *n1  *n2

              2      11   9   10         2      11   9   8   2
       + 4*a33 *m1*m2  *n1 *n2   + 10*a33 *m1*m2  *n1 *n2 *n3

              2      11   7   12         2      11   7   10   2
       + 2*a33 *m1*m2  *n1 *n2   + 18*a33 *m1*m2  *n1 *n2  *n3

               2      11   7   8   4        2      11   5   12   2
       + 16*a33 *m1*m2  *n1 *n2 *n3  + 8*a33 *m1*m2  *n1 *n2  *n3

               2      11   5   10   4        2      11   5   8   6
       + 24*a33 *m1*m2  *n1 *n2  *n3  + 8*a33 *m1*m2  *n1 *n2 *n3

              2      11   3   12   4        2      11   3   10   6
       + 8*a33 *m1*m2  *n1 *n2  *n3  + 8*a33 *m1*m2  *n1 *n2  *n3 ) + u1*v1*(

                 11   11   8   2            11   11   6   4
       - 4*a33*m1  *n1  *n2 *n3  + 16*a33*m1  *n1  *n2 *n3

                  11   11   4   6           11   9   10   2
       - 16*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1 *n2  *n3

                  11   9   8   4            11   9   6   6
       + 16*a33*m1  *n1 *n2 *n3  - 16*a33*m1  *n1 *n2 *n3

                 10      12   9            10      12   7   2
       - 4*a33*m1  *m2*n1  *n2  + 36*a33*m1  *m2*n1  *n2 *n3

                  10      12   5   4            10      12   3   6
       - 80*a33*m1  *m2*n1  *n2 *n3  + 48*a33*m1  *m2*n1  *n2 *n3

                 10      10   11            10      10   9   2
       - 8*a33*m1  *m2*n1  *n2   + 28*a33*m1  *m2*n1  *n2 *n3

                  10      10   7   4            10      10   5   6
       + 16*a33*m1  *m2*n1  *n2 *n3  - 80*a33*m1  *m2*n1  *n2 *n3

                 10      8   13           10      8   11   2
       - 4*a33*m1  *m2*n1 *n2   - 8*a33*m1  *m2*n1 *n2  *n3

                  10      8   9   4             10      8   7   6
       + 96*a33*m1  *m2*n1 *n2 *n3  - 128*a33*m1  *m2*n1 *n2 *n3

                  9   2   13   8             9   2   13   6   2
       + 20*a33*m1 *m2 *n1  *n2  - 104*a33*m1 *m2 *n1  *n2 *n3

                   9   2   13   4   4            9   2   13   2   6
       + 144*a33*m1 *m2 *n1  *n2 *n3  - 48*a33*m1 *m2 *n1  *n2 *n3

                  9   2   11   10            9   2   11   8   2
       + 20*a33*m1 *m2 *n1  *n2   + 48*a33*m1 *m2 *n1  *n2 *n3

                   9   2   11   6   4             9   2   11   4   6
       - 368*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                  9   2   9   12             9   2   9   10   2
       - 20*a33*m1 *m2 *n1 *n2   + 188*a33*m1 *m2 *n1 *n2  *n3

                   9   2   9   8   4            9   2   9   6   6
       - 288*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

                  9   2   7   14            9   2   7   12   2
       - 20*a33*m1 *m2 *n1 *n2   + 36*a33*m1 *m2 *n1 *n2  *n3

                   9   2   7   10   4             9   2   7   8   6
       + 224*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2 *n3

                  8   3   14   7             8   3   14   5   2
       - 40*a33*m1 *m2 *n1  *n2  + 136*a33*m1 *m2 *n1  *n2 *n3

                   8   3   14   3   4            8   3   14      6
       - 112*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

                  8   3   12   9             8   3   12   7   2
       + 20*a33*m1 *m2 *n1  *n2  - 392*a33*m1 *m2 *n1  *n2 *n3

                   8   3   12   5   4             8   3   12   3   6
       + 848*a33*m1 *m2 *n1  *n2 *n3  - 368*a33*m1 *m2 *n1  *n2 *n3

                   8   3   10   11             8   3   10   9   2
       + 120*a33*m1 *m2 *n1  *n2   - 372*a33*m1 *m2 *n1  *n2 *n3

                   8   3   10   7   4             8   3   10   5   6
       - 384*a33*m1 *m2 *n1  *n2 *n3  + 960*a33*m1 *m2 *n1  *n2 *n3

                  8   3   8   13             8   3   8   11   2
       + 20*a33*m1 *m2 *n1 *n2   + 316*a33*m1 *m2 *n1 *n2  *n3

                    8   3   8   9   4             8   3   8   7   6
       - 1120*a33*m1 *m2 *n1 *n2 *n3  + 448*a33*m1 *m2 *n1 *n2 *n3

                  8   3   6   15             8   3   6   13   2
       - 40*a33*m1 *m2 *n1 *n2   + 160*a33*m1 *m2 *n1 *n2  *n3

                   8   3   6   11   4             8   3   6   9   6
       + 224*a33*m1 *m2 *n1 *n2  *n3  - 896*a33*m1 *m2 *n1 *n2 *n3

                  7   4   15   6            7   4   15   4   2
       + 40*a33*m1 *m2 *n1  *n2  - 84*a33*m1 *m2 *n1  *n2 *n3

                  7   4   15   2   4             7   4   13   8
       + 32*a33*m1 *m2 *n1  *n2 *n3  - 120*a33*m1 *m2 *n1  *n2

                   7   4   13   6   2             7   4   13   4   4
       + 668*a33*m1 *m2 *n1  *n2 *n3  - 736*a33*m1 *m2 *n1  *n2 *n3

                   7   4   13   2   6             7   4   11   10
       + 128*a33*m1 *m2 *n1  *n2 *n3  - 160*a33*m1 *m2 *n1  *n2

                   7   4   11   8   2              7   4   11   6   4
       - 232*a33*m1 *m2 *n1  *n2 *n3  + 1920*a33*m1 *m2 *n1  *n2 *n3

                    7   4   11   4   6             7   4   9   12
       - 1216*a33*m1 *m2 *n1  *n2 *n3  + 160*a33*m1 *m2 *n1 *n2

                    7   4   9   10   2             7   4   9   8   4
       - 1224*a33*m1 *m2 *n1 *n2  *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                    7   4   9   6   6             7   4   7   14
       + 1344*a33*m1 *m2 *n1 *n2 *n3  + 120*a33*m1 *m2 *n1 *n2

                  7   4   7   12   2              7   4   7   10   4
       + 20*a33*m1 *m2 *n1 *n2  *n3  - 1792*a33*m1 *m2 *n1 *n2  *n3

                    7   4   7   8   6            7   4   5   16
       + 1568*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2

                   7   4   5   14   2              7   4   5   10   6
       + 260*a33*m1 *m2 *n1 *n2  *n3  - 1120*a33*m1 *m2 *n1 *n2  *n3

                  6   5   16   5            6   5   16   3   2
       - 20*a33*m1 *m2 *n1  *n2  + 20*a33*m1 *m2 *n1  *n2 *n3

                   6   5   14   7             6   5   14   5   2
       + 160*a33*m1 *m2 *n1  *n2  - 468*a33*m1 *m2 *n1  *n2 *n3

                   6   5   14   3   4            6   5   12   9
       + 224*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                    6   5   12   7   2              6   5   12   5   4
       + 1168*a33*m1 *m2 *n1  *n2 *n3  - 2016*a33*m1 *m2 *n1  *n2 *n3

                   6   5   12   3   6             6   5   10   11
       + 448*a33*m1 *m2 *n1  *n2 *n3  - 400*a33*m1 *m2 *n1  *n2

                    6   5   10   9   2              6   5   10   7   4
       + 1016*a33*m1 *m2 *n1  *n2 *n3  + 1792*a33*m1 *m2 *n1  *n2 *n3

                    6   5   10   5   6            6   5   8   13
       - 2240*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                    6   5   8   11   2              6   5   8   9   4
       - 1380*a33*m1 *m2 *n1 *n2  *n3  + 2912*a33*m1 *m2 *n1 *n2 *n3

                   6   5   8   7   6             6   5   6   15
       + 672*a33*m1 *m2 *n1 *n2 *n3  + 160*a33*m1 *m2 *n1 *n2

                   6   5   6   13   2              6   5   6   11   4
       - 524*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2  *n3

                    6   5   6   9   6            6   5   4   17
       + 2464*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   6   5   4   15   2             6   5   4   13   4
       + 216*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   6   5   4   11   6           5   6   17   4
       - 896*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n1  *n2

                  5   6   15   6             5   6   15   4   2
       - 92*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                   5   6   13   8              5   6   13   6   2
       + 204*a33*m1 *m2 *n1  *n2  - 1044*a33*m1 *m2 *n1  *n2 *n3

                   5   6   13   4   4             5   6   11   10
       + 672*a33*m1 *m2 *n1  *n2 *n3  + 300*a33*m1 *m2 *n1  *n2

                   5   6   11   8   2              5   6   11   6   4
       + 596*a33*m1 *m2 *n1  *n2 *n3  - 2912*a33*m1 *m2 *n1  *n2 *n3

                   5   6   11   4   6             5   6   9   12
       + 896*a33*m1 *m2 *n1  *n2 *n3  - 300*a33*m1 *m2 *n1 *n2

                    5   6   9   10   2             5   6   9   8   4
       + 2120*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                    5   6   9   6   6             5   6   7   14
       - 2464*a33*m1 *m2 *n1 *n2 *n3  - 204*a33*m1 *m2 *n1 *n2

                   5   6   7   12   2              5   6   7   10   4
       - 384*a33*m1 *m2 *n1 *n2  *n3  + 3360*a33*m1 *m2 *n1 *n2  *n3

                   5   6   7   8   6            5   6   5   16
       - 672*a33*m1 *m2 *n1 *n2 *n3  + 92*a33*m1 *m2 *n1 *n2

                   5   6   5   14   2             5   6   5   12   4
       - 652*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                    5   6   5   10   6           5   6   3   18
       + 2240*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1 *n2

                  5   6   3   16   2             5   6   3   14   4
       + 92*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   5   6   3   12   6            4   7   16   5
       - 448*a33*m1 *m2 *n1 *n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                   4   7   14   7             4   7   14   5   2
       - 160*a33*m1 *m2 *n1  *n2  + 300*a33*m1 *m2 *n1  *n2 *n3

                  4   7   12   9              4   7   12   7   2
       + 20*a33*m1 *m2 *n1  *n2  - 1140*a33*m1 *m2 *n1  *n2 *n3

                    4   7   12   5   4             4   7   10   11
       + 1120*a33*m1 *m2 *n1  *n2 *n3  + 400*a33*m1 *m2 *n1  *n2

                   4   7   10   9   2              4   7   10   7   4
       - 680*a33*m1 *m2 *n1  *n2 *n3  - 2240*a33*m1 *m2 *n1  *n2 *n3

                    4   7   10   5   6            4   7   8   13
       + 1120*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                    4   7   8   11   2              4   7   8   9   4
       + 1576*a33*m1 *m2 *n1 *n2  *n3  - 2016*a33*m1 *m2 *n1 *n2 *n3

                    4   7   8   7   6             4   7   6   15
       - 1568*a33*m1 *m2 *n1 *n2 *n3  - 160*a33*m1 *m2 *n1 *n2

                   4   7   6   13   2              4   7   6   11   4
       + 468*a33*m1 *m2 *n1 *n2  *n3  + 1792*a33*m1 *m2 *n1 *n2  *n3

                    4   7   6   9   6            4   7   4   17
       - 1344*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                   4   7   4   15   2             4   7   4   13   4
       - 332*a33*m1 *m2 *n1 *n2  *n3  + 352*a33*m1 *m2 *n1 *n2  *n3

                    4   7   4   11   6            4   7   2   17   2
       + 1216*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2  *n3

                  4   7   2   15   4             4   7   2   13   6
       - 96*a33*m1 *m2 *n1 *n2  *n3  - 128*a33*m1 *m2 *n1 *n2  *n3

                  3   8   15   6             3   8   13   8
       + 40*a33*m1 *m2 *n1  *n2  - 120*a33*m1 *m2 *n1  *n2

                   3   8   13   6   2             3   8   11   10
       + 400*a33*m1 *m2 *n1  *n2 *n3  - 160*a33*m1 *m2 *n1  *n2

                   3   8   11   8   2              3   8   11   6   4
       - 540*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                   3   8   9   12              3   8   9   10   2
       + 160*a33*m1 *m2 *n1 *n2   - 1084*a33*m1 *m2 *n1 *n2  *n3

                   3   8   9   8   4             3   8   9   6   6
       - 672*a33*m1 *m2 *n1 *n2 *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                   3   8   7   14             3   8   7   12   2
       + 120*a33*m1 *m2 *n1 *n2   + 328*a33*m1 *m2 *n1 *n2  *n3

                    3   8   7   10   4             3   8   7   8   6
       - 1792*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2 *n3

                  3   8   5   16             3   8   5   14   2
       - 40*a33*m1 *m2 *n1 *n2   + 408*a33*m1 *m2 *n1 *n2  *n3

                   3   8   5   12   4             3   8   5   10   6
       + 256*a33*m1 *m2 *n1 *n2  *n3  - 960*a33*m1 *m2 *n1 *n2  *n3

                  3   8   3   16   2             3   8   3   14   4
       - 64*a33*m1 *m2 *n1 *n2  *n3  + 240*a33*m1 *m2 *n1 *n2  *n3

                   3   8   3   12   6            3   8      16   4
       + 368*a33*m1 *m2 *n1 *n2  *n3  - 16*a33*m1 *m2 *n1*n2  *n3

                  3   8      14   6            2   9   14   7
       - 16*a33*m1 *m2 *n1*n2  *n3  + 40*a33*m1 *m2 *n1  *n2

                  2   9   12   9             2   9   12   7   2
       - 20*a33*m1 *m2 *n1  *n2  + 300*a33*m1 *m2 *n1  *n2 *n3

                   2   9   10   11            2   9   10   9   2
       - 120*a33*m1 *m2 *n1  *n2   + 36*a33*m1 *m2 *n1  *n2 *n3

                   2   9   10   7   4            2   9   8   13
       + 672*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   2   9   8   11   2             2   9   8   9   4
       - 512*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   2   9   8   7   6            2   9   6   15
       + 448*a33*m1 *m2 *n1 *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                   2   9   6   13   2             2   9   6   11   4
       - 152*a33*m1 *m2 *n1 *n2  *n3  - 640*a33*m1 *m2 *n1 *n2  *n3

                  2   9   6   9   6            2   9   4   15   2
       + 64*a33*m1 *m2 *n1 *n2 *n3  + 96*a33*m1 *m2 *n1 *n2  *n3

                   2   9   4   13   4             2   9   4   11   6
       - 144*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2  *n3

                  2   9   2   15   4            2   9   2   13   6
       + 48*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

                     10   13   8               10   11   10
       + 20*a33*m1*m2  *n1  *n2  + 20*a33*m1*m2  *n1  *n2

                      10   11   8   2               10   9   12
       + 120*a33*m1*m2  *n1  *n2 *n3  - 20*a33*m1*m2  *n1 *n2

                      10   9   10   2                10   9   8   4
       + 132*a33*m1*m2  *n1 *n2  *n3  + 224*a33*m1*m2  *n1 *n2 *n3

                     10   7   14               10   7   12   2
       - 20*a33*m1*m2  *n1 *n2   - 52*a33*m1*m2  *n1 *n2  *n3

                      10   7   10   4                10   7   8   6
       + 224*a33*m1*m2  *n1 *n2  *n3  + 128*a33*m1*m2  *n1 *n2 *n3

                     10   5   14   2               10   5   12   4
       - 64*a33*m1*m2  *n1 *n2  *n3  - 48*a33*m1*m2  *n1 *n2  *n3

                     10   5   10   6               10   3   14   4
       + 80*a33*m1*m2  *n1 *n2  *n3  - 48*a33*m1*m2  *n1 *n2  *n3

                     10   3   12   6           11   12   9
       - 48*a33*m1*m2  *n1 *n2  *n3  + 4*a33*m2  *n1  *n2

                 11   10   11            11   10   9   2           11   8   13
       + 8*a33*m2  *n1  *n2   + 20*a33*m2  *n1  *n2 *n3  + 4*a33*m2  *n1 *n2

                  11   8   11   2            11   8   9   4
       + 36*a33*m2  *n1 *n2  *n3  + 32*a33*m2  *n1 *n2 *n3

                  11   6   13   2            11   6   11   4
       + 16*a33*m2  *n1 *n2  *n3  + 48*a33*m2  *n1 *n2  *n3

                  11   6   9   6            11   4   13   4
       + 16*a33*m2  *n1 *n2 *n3  + 16*a33*m2  *n1 *n2  *n3

                  11   4   11   6         2          2   11      10   7   2
       + 16*a33*m2  *n1 *n2  *n3 ) + u1*v2 *( - 2*a33 *m1  *m2*n1  *n2 *n3

              2   11      10   5   4        2   11      10   3   6
       + 8*a33 *m1  *m2*n1  *n2 *n3  - 8*a33 *m1  *m2*n1  *n2 *n3

              2   11      8   9   2        2   11      8   7   4
       - 2*a33 *m1  *m2*n1 *n2 *n3  + 8*a33 *m1  *m2*n1 *n2 *n3

              2   11      8   5   6        2   10   2   11   8
       - 8*a33 *m1  *m2*n1 *n2 *n3  - 2*a33 *m1  *m2 *n1  *n2

               2   10   2   11   6   2         2   10   2   11   4   4
       + 18*a33 *m1  *m2 *n1  *n2 *n3  - 40*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   11   2   6        2   10   2   9   10
       + 24*a33 *m1  *m2 *n1  *n2 *n3  - 4*a33 *m1  *m2 *n1 *n2

               2   10   2   9   8   2        2   10   2   9   6   4
       + 14*a33 *m1  *m2 *n1 *n2 *n3  + 8*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   9   4   6        2   10   2   7   12
       - 40*a33 *m1  *m2 *n1 *n2 *n3  - 2*a33 *m1  *m2 *n1 *n2

              2   10   2   7   10   2         2   10   2   7   8   4
       - 4*a33 *m1  *m2 *n1 *n2  *n3  + 48*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   7   6   6         2   9   3   12   7
       - 64*a33 *m1  *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   9   3   12   5   2         2   9   3   12   3   4
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 72*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   12      6         2   9   3   10   9
       - 24*a33 *m1 *m2 *n1  *n2*n3  + 10*a33 *m1 *m2 *n1  *n2

               2   9   3   10   7   2          2   9   3   10   5   4
       + 24*a33 *m1 *m2 *n1  *n2 *n3  - 184*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   10   3   6         2   9   3   8   11
       + 168*a33 *m1 *m2 *n1  *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   9   3   8   9   2          2   9   3   8   7   4
       + 94*a33 *m1 *m2 *n1 *n2 *n3  - 144*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   8   5   6         2   9   3   6   13
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   9   3   6   11   2          2   9   3   6   9   4
       + 18*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   6   7   6         2   8   4   13   6
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2

               2   8   4   13   4   2         2   8   4   13   2   4
       + 68*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   4   13   6         2   8   4   11   8
       + 8*a33 *m1 *m2 *n1  *n3  + 10*a33 *m1 *m2 *n1  *n2

                2   8   4   11   6   2          2   8   4   11   4   4
       - 196*a33 *m1 *m2 *n1  *n2 *n3  + 424*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   11   2   6         2   8   4   9   10
       - 184*a33 *m1 *m2 *n1  *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

                2   8   4   9   8   2          2   8   4   9   6   4
       - 186*a33 *m1 *m2 *n1 *n2 *n3  - 192*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   9   4   6         2   8   4   7   12
       + 480*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   8   4   7   10   2          2   8   4   7   8   4
       + 158*a33 *m1 *m2 *n1 *n2  *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   7   6   6         2   8   4   5   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   8   4   5   12   2          2   8   4   5   10   4
       + 80*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   8   4   5   8   6         2   7   5   14   5
       - 448*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2

               2   7   5   14   3   2         2   7   5   14      4
       - 42*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   12   7          2   7   5   12   5   2
       - 60*a33 *m1 *m2 *n1  *n2  + 334*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   12   3   4         2   7   5   12      6
       - 368*a33 *m1 *m2 *n1  *n2 *n3  + 64*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   10   9          2   7   5   10   7   2
       - 80*a33 *m1 *m2 *n1  *n2  - 116*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   10   5   4          2   7   5   10   3   6
       + 960*a33 *m1 *m2 *n1  *n2 *n3  - 608*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   8   11          2   7   5   8   9   2
       + 80*a33 *m1 *m2 *n1 *n2   - 612*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   8   7   4          2   7   5   8   5   6
       + 448*a33 *m1 *m2 *n1 *n2 *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   6   13         2   7   5   6   11   2
       + 60*a33 *m1 *m2 *n1 *n2   + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   6   9   4          2   7   5   6   7   6
       - 896*a33 *m1 *m2 *n1 *n2 *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   4   15          2   7   5   4   13   2
       - 20*a33 *m1 *m2 *n1 *n2   + 130*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   4   9   6         2   6   6   15   4
       - 560*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   6   6   15   2   2         2   6   6   13   6
       + 10*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2

                2   6   6   13   4   2          2   6   6   13   2   4
       - 234*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   11   8          2   6   6   11   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 584*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   6   11   4   4          2   6   6   11   2   6
       - 1008*a33 *m1 *m2 *n1  *n2 *n3  + 224*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   9   10          2   6   6   9   8   2
       - 200*a33 *m1 *m2 *n1 *n2   + 508*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   9   6   4           2   6   6   9   4   6
       + 896*a33 *m1 *m2 *n1 *n2 *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   7   12          2   6   6   7   10   2
       - 10*a33 *m1 *m2 *n1 *n2   - 690*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   6   7   8   4          2   6   6   7   6   6
       + 1456*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   5   14          2   6   6   5   12   2
       + 80*a33 *m1 *m2 *n1 *n2   - 262*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   5   10   4           2   6   6   5   8   6
       - 672*a33 *m1 *m2 *n1 *n2  *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   3   16          2   6   6   3   14   2
       - 10*a33 *m1 *m2 *n1 *n2   + 108*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   3   12   4          2   6   6   3   10   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 448*a33 *m1 *m2 *n1 *n2  *n3

              2   5   7   16   3         2   5   7   14   5
       + 2*a33 *m1 *m2 *n1  *n2  - 46*a33 *m1 *m2 *n1  *n2

               2   5   7   14   3   2          2   5   7   12   7
       + 60*a33 *m1 *m2 *n1  *n2 *n3  + 102*a33 *m1 *m2 *n1  *n2

                2   5   7   12   5   2          2   5   7   12   3   4
       - 522*a33 *m1 *m2 *n1  *n2 *n3  + 336*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   10   9          2   5   7   10   7   2
       + 150*a33 *m1 *m2 *n1  *n2  + 298*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   7   10   5   4          2   5   7   10   3   6
       - 1456*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   8   11           2   5   7   8   9   2
       - 150*a33 *m1 *m2 *n1 *n2   + 1060*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   8   7   4           2   5   7   8   5   6
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 1232*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   6   13          2   5   7   6   11   2
       - 102*a33 *m1 *m2 *n1 *n2   - 192*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   7   6   9   4          2   5   7   6   7   6
       + 1680*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   5   7   4   15          2   5   7   4   13   2
       + 46*a33 *m1 *m2 *n1 *n2   - 326*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   4   11   4           2   5   7   4   9   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

              2   5   7   2   17         2   5   7   2   15   2
       - 2*a33 *m1 *m2 *n1 *n2   + 46*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   2   13   4          2   5   7   2   11   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

               2   4   8   15   4         2   4   8   13   6
       + 10*a33 *m1 *m2 *n1  *n2  - 80*a33 *m1 *m2 *n1  *n2

                2   4   8   13   4   2         2   4   8   11   8
       + 150*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2

                2   4   8   11   6   2          2   4   8   11   4   4
       - 570*a33 *m1 *m2 *n1  *n2 *n3  + 560*a33 *m1 *m2 *n1  *n2 *n3

                2   4   8   9   10          2   4   8   9   8   2
       + 200*a33 *m1 *m2 *n1 *n2   - 340*a33 *m1 *m2 *n1 *n2 *n3

                 2   4   8   9   6   4          2   4   8   9   4   6
       - 1120*a33 *m1 *m2 *n1 *n2 *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   7   12          2   4   8   7   10   2
       + 10*a33 *m1 *m2 *n1 *n2   + 788*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   8   7   8   4          2   4   8   7   6   6
       - 1008*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   5   14          2   4   8   5   12   2
       - 80*a33 *m1 *m2 *n1 *n2   + 234*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   5   10   4          2   4   8   5   8   6
       + 896*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   3   16          2   4   8   3   14   2
       + 10*a33 *m1 *m2 *n1 *n2   - 166*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   3   12   4          2   4   8   3   10   6
       + 176*a33 *m1 *m2 *n1 *n2  *n3  + 608*a33 *m1 *m2 *n1 *n2  *n3

              2   4   8      16   2         2   4   8      14   4
       + 8*a33 *m1 *m2 *n1*n2  *n3  - 48*a33 *m1 *m2 *n1*n2  *n3

               2   4   8      12   6         2   3   9   14   5
       - 64*a33 *m1 *m2 *n1*n2  *n3  + 20*a33 *m1 *m2 *n1  *n2

               2   3   9   12   7          2   3   9   12   5   2
       - 60*a33 *m1 *m2 *n1  *n2  + 200*a33 *m1 *m2 *n1  *n2 *n3

               2   3   9   10   9          2   3   9   10   7   2
       - 80*a33 *m1 *m2 *n1  *n2  - 270*a33 *m1 *m2 *n1  *n2 *n3

                2   3   9   10   5   4         2   3   9   8   11
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2

                2   3   9   8   9   2          2   3   9   8   7   4
       - 542*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   8   5   6         2   3   9   6   13
       + 448*a33 *m1 *m2 *n1 *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

                2   3   9   6   11   2          2   3   9   6   9   4
       + 164*a33 *m1 *m2 *n1 *n2  *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   6   7   6         2   3   9   4   15
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

                2   3   9   4   13   2          2   3   9   4   11   4
       + 204*a33 *m1 *m2 *n1 *n2  *n3  + 128*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   4   9   6         2   3   9   2   15   2
       - 480*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   2   13   4          2   3   9   2   11   6
       + 120*a33 *m1 *m2 *n1 *n2  *n3  + 184*a33 *m1 *m2 *n1 *n2  *n3

              2   3   9   15   4        2   3   9   13   6
       - 8*a33 *m1 *m2 *n2  *n3  - 8*a33 *m1 *m2 *n2  *n3

               2   2   10   13   6         2   2   10   11   8
       + 20*a33 *m1 *m2  *n1  *n2  - 10*a33 *m1 *m2  *n1  *n2

                2   2   10   11   6   2         2   2   10   9   10
       + 150*a33 *m1 *m2  *n1  *n2 *n3  - 60*a33 *m1 *m2  *n1 *n2

               2   2   10   9   8   2          2   2   10   9   6   4
       + 18*a33 *m1 *m2  *n1 *n2 *n3  + 336*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   7   12          2   2   10   7   10   2
       - 10*a33 *m1 *m2  *n1 *n2   - 256*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   7   8   4          2   2   10   7   6   6
       + 112*a33 *m1 *m2  *n1 *n2 *n3  + 224*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   5   14         2   2   10   5   12   2
       + 20*a33 *m1 *m2  *n1 *n2   - 76*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   5   10   4         2   2   10   5   8   6
       - 320*a33 *m1 *m2  *n1 *n2  *n3  + 32*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   3   14   2         2   2   10   3   12   4
       + 48*a33 *m1 *m2  *n1 *n2  *n3  - 72*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   3   10   6         2   2   10      14   4
       - 168*a33 *m1 *m2  *n1 *n2  *n3  + 24*a33 *m1 *m2  *n1*n2  *n3

               2   2   10      12   6         2      11   12   7
       + 24*a33 *m1 *m2  *n1*n2  *n3  + 10*a33 *m1*m2  *n1  *n2

               2      11   10   9         2      11   10   7   2
       + 10*a33 *m1*m2  *n1  *n2  + 60*a33 *m1*m2  *n1  *n2 *n3

               2      11   8   11         2      11   8   9   2
       - 10*a33 *m1*m2  *n1 *n2   + 66*a33 *m1*m2  *n1 *n2 *n3

                2      11   8   7   4         2      11   6   13
       + 112*a33 *m1*m2  *n1 *n2 *n3  - 10*a33 *m1*m2  *n1 *n2

               2      11   6   11   2          2      11   6   9   4
       - 26*a33 *m1*m2  *n1 *n2  *n3  + 112*a33 *m1*m2  *n1 *n2 *n3

               2      11   6   7   6         2      11   4   13   2
       + 64*a33 *m1*m2  *n1 *n2 *n3  - 32*a33 *m1*m2  *n1 *n2  *n3

               2      11   4   11   4         2      11   4   9   6
       - 24*a33 *m1*m2  *n1 *n2  *n3  + 40*a33 *m1*m2  *n1 *n2 *n3

               2      11   2   13   4         2      11   2   11   6
       - 24*a33 *m1*m2  *n1 *n2  *n3  - 24*a33 *m1*m2  *n1 *n2  *n3

              2   12   11   8        2   12   9   10         2   12   9   8   2
       + 2*a33 *m2  *n1  *n2  + 4*a33 *m2  *n1 *n2   + 10*a33 *m2  *n1 *n2 *n3

              2   12   7   12         2   12   7   10   2
       + 2*a33 *m2  *n1 *n2   + 18*a33 *m2  *n1 *n2  *n3

               2   12   7   8   4        2   12   5   12   2
       + 16*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

               2   12   5   10   4        2   12   5   8   6
       + 24*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2 *n3

              2   12   3   12   4        2   12   3   10   6         2
       + 8*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3 ) + u1*v3 *(

            2   12   11   6   2        2   12   11   4   4
       - a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

              2   12   11   2   6      2   12   9   8   2
       - 4*a33 *m1  *n1  *n2 *n3  - a33 *m1  *n1 *n2 *n3

              2   12   9   6   4        2   12   9   4   6
       + 4*a33 *m1  *n1 *n2 *n3  - 4*a33 *m1  *n1 *n2 *n3

            2   11      12   7        2   11      12   5   2
       - a33 *m1  *m2*n1  *n2  + 8*a33 *m1  *m2*n1  *n2 *n3

               2   11      12   3   4        2   11      12      6
       - 16*a33 *m1  *m2*n1  *n2 *n3  + 8*a33 *m1  *m2*n1  *n2*n3

              2   11      10   9        2   11      10   7   2
       - 2*a33 *m1  *m2*n1  *n2  + 6*a33 *m1  *m2*n1  *n2 *n3

              2   11      10   5   4         2   11      10   3   6
       + 8*a33 *m1  *m2*n1  *n2 *n3  - 24*a33 *m1  *m2*n1  *n2 *n3

            2   11      8   11        2   11      8   9   2
       - a33 *m1  *m2*n1 *n2   - 2*a33 *m1  *m2*n1 *n2 *n3

               2   11      8   7   4         2   11      8   5   6
       + 24*a33 *m1  *m2*n1 *n2 *n3  - 32*a33 *m1  *m2*n1 *n2 *n3

              2   10   2   13   6         2   10   2   13   4   2
       + 4*a33 *m1  *m2 *n1  *n2  - 18*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   13   2   4        2   10   2   13   6
       + 20*a33 *m1  *m2 *n1  *n2 *n3  - 4*a33 *m1  *m2 *n1  *n3

              2   10   2   11   8         2   10   2   11   6   2
       + 3*a33 *m1  *m2 *n1  *n2  + 17*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   11   4   4         2   10   2   11   2   6
       - 80*a33 *m1  *m2 *n1  *n2 *n3  + 56*a33 *m1  *m2 *n1  *n2 *n3

              2   10   2   9   10         2   10   2   9   8   2
       - 6*a33 *m1  *m2 *n1 *n2   + 44*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   9   6   4         2   10   2   9   4   6
       - 44*a33 *m1  *m2 *n1 *n2 *n3  - 52*a33 *m1  *m2 *n1 *n2 *n3

              2   10   2   7   12        2   10   2   7   10   2
       - 5*a33 *m1  *m2 *n1 *n2   + 9*a33 *m1  *m2 *n1 *n2  *n3

               2   10   2   7   8   4          2   10   2   7   6   6
       + 56*a33 *m1  *m2 *n1 *n2 *n3  - 112*a33 *m1  *m2 *n1 *n2 *n3

              2   9   3   14   5         2   9   3   14   3   2
       - 6*a33 *m1 *m2 *n1  *n2  + 16*a33 *m1 *m2 *n1  *n2 *n3

              2   9   3   14      4        2   9   3   12   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  + 7*a33 *m1 *m2 *n1  *n2

               2   9   3   12   5   2          2   9   3   12   3   4
       - 72*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   12      6         2   9   3   10   9
       - 24*a33 *m1 *m2 *n1  *n2*n3  + 22*a33 *m1 *m2 *n1  *n2

               2   9   3   10   7   2          2   9   3   10   5   4
       - 42*a33 *m1 *m2 *n1  *n2 *n3  - 136*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   10   3   6      2   9   3   8   11
       + 168*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   9   3   8   9   2          2   9   3   8   7   4
       + 86*a33 *m1 *m2 *n1 *n2 *n3  - 200*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   8   5   6         2   9   3   6   13
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   9   3   6   11   2         2   9   3   6   9   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   6   7   6        2   8   4   15   4
       - 224*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1  *n2

              2   8   4   15   2   2         2   8   4   13   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  - 18*a33 *m1 *m2 *n1  *n2

               2   8   4   13   4   2         2   8   4   13   2   4
       + 69*a33 *m1 *m2 *n1  *n2 *n3  - 36*a33 *m1 *m2 *n1  *n2 *n3

              2   8   4   13   6         2   8   4   11   8
       - 4*a33 *m1 *m2 *n1  *n3  - 13*a33 *m1 *m2 *n1  *n2

               2   8   4   11   6   2          2   8   4   11   4   4
       - 88*a33 *m1 *m2 *n1  *n2 *n3  + 252*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   11   2   6         2   8   4   9   10
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 34*a33 *m1 *m2 *n1 *n2

                2   8   4   9   8   2         2   8   4   9   6   4
       - 173*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   9   4   6         2   8   4   7   12
       + 288*a33 *m1 *m2 *n1 *n2 *n3  + 15*a33 *m1 *m2 *n1 *n2

               2   8   4   7   10   2          2   8   4   7   8   4
       + 54*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   7   6   6         2   8   4   5   14
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   8   4   5   12   2          2   8   4   5   8   6
       + 65*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

            2   7   5   16   3         2   7   5   14   5
       - a33 *m1 *m2 *n1  *n2  + 12*a33 *m1 *m2 *n1  *n2

               2   7   5   14   3   2        2   7   5   14      4
       - 14*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   12   7          2   7   5   12   5   2
       - 13*a33 *m1 *m2 *n1  *n2  + 106*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   12   3   4         2   7   5   12      6
       - 40*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   10   9         2   7   5   10   7   2
       - 36*a33 *m1 *m2 *n1  *n2  - 12*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   10   5   4         2   7   5   10   3   6
       + 304*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   8   11          2   7   5   8   9   2
       + 15*a33 *m1 *m2 *n1 *n2   - 212*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   8   7   4          2   7   5   8   5   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   6   13         2   7   5   6   11   2
       + 20*a33 *m1 *m2 *n1 *n2   - 26*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   6   9   4          2   7   5   6   7   6
       - 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   5   4   15         2   7   5   4   13   2
       - 5*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

               2   7   5   4   11   4          2   7   5   4   9   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

            2   6   6   15   4        2   6   6   15   2   2
       - a33 *m1 *m2 *n1  *n2  - 5*a33 *m1 *m2 *n1  *n2 *n3

              2   6   6   13   6         2   6   6   13   4   2
       + 8*a33 *m1 *m2 *n1  *n2  + 12*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   13   2   4      2   6   6   11   8
       - 56*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1  *n2

               2   6   6   11   6   2         2   6   6   11   4   4
       + 79*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   11   2   6         2   6   6   9   10
       - 112*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   6   6   9   8   2          2   6   6   9   6   4
       + 12*a33 *m1 *m2 *n1 *n2 *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   9   4   6      2   6   6   7   12
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

                2   6   6   7   10   2          2   6   6   7   8   4
       - 117*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   7   6   6        2   6   6   5   14
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

               2   6   6   5   12   2          2   6   6   5   10   4
       - 44*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

               2   6   6   5   8   6      2   6   6   3   16
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   6   6   3   14   2         2   6   6   3   12   4
       + 23*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   3   10   6      2   5   7   16   3
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1  *n2

              2   5   7   14   5         2   5   7   14   3   2
       + 8*a33 *m1 *m2 *n1  *n2  - 30*a33 *m1 *m2 *n1  *n2 *n3

            2   5   7   12   7         2   5   7   12   5   2
       - a33 *m1 *m2 *n1  *n2  + 86*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   12   3   4         2   5   7   10   9
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2

               2   5   7   10   7   2          2   5   7   10   5   4
       + 96*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   10   3   6      2   5   7   8   11
       - 224*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   5   7   8   9   2          2   5   7   8   7   4
       - 68*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   8   5   6        2   5   7   6   13
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

               2   5   7   6   11   2          2   5   7   6   7   6
       - 58*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

            2   5   7   4   15        2   5   7   4   13   2
       - a33 *m1 *m2 *n1 *n2   - 6*a33 *m1 *m2 *n1 *n2  *n3

               2   5   7   4   11   4         2   5   7   4   9   6
       - 24*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

              2   5   7   2   15   2         2   5   7   2   13   4
       + 4*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               2   5   7   2   11   6        2   4   8   15   4
       - 32*a33 *m1 *m2 *n1 *n2  *n3  - 5*a33 *m1 *m2 *n1  *n2

               2   4   8   13   6         2   4   8   13   4   2
       + 20*a33 *m1 *m2 *n1  *n2  - 75*a33 *m1 *m2 *n1  *n2 *n3

               2   4   8   11   8          2   4   8   11   6   2
       + 15*a33 *m1 *m2 *n1  *n2  + 110*a33 *m1 *m2 *n1  *n2 *n3

                2   4   8   11   4   4         2   4   8   9   10
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 36*a33 *m1 *m2 *n1 *n2

                2   4   8   9   8   2          2   4   8   9   6   4
       + 191*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   9   4   6         2   4   8   7   12
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - 13*a33 *m1 *m2 *n1 *n2

               2   4   8   7   10   2          2   4   8   7   8   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3  + 392*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   7   6   6         2   4   8   5   14
       + 56*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

               2   4   8   5   12   2         2   4   8   5   10   4
       - 67*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   5   8   6      2   4   8   3   16
       + 288*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   4   8   3   14   2         2   4   8   3   12   4
       + 11*a33 *m1 *m2 *n1 *n2  *n3  - 20*a33 *m1 *m2 *n1 *n2  *n3

               2   4   8   3   10   6        2   4   8      14   4
       - 52*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

              2   4   8      12   6         2   3   9   14   5
       - 4*a33 *m1 *m2 *n1*n2  *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   3   9   12   7          2   3   9   12   5   2
       + 15*a33 *m1 *m2 *n1  *n2  - 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   9   10   9         2   3   9   10   7   2
       + 34*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

                2   3   9   10   5   4         2   3   9   8   11
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 13*a33 *m1 *m2 *n1 *n2

                2   3   9   8   9   2         2   3   9   8   7   4
       + 194*a33 *m1 *m2 *n1 *n2 *n3  - 56*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   8   5   6         2   3   9   6   13
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 18*a33 *m1 *m2 *n1 *n2

               2   3   9   6   11   2          2   3   9   6   9   4
       + 12*a33 *m1 *m2 *n1 *n2  *n3  + 272*a33 *m1 *m2 *n1 *n2 *n3

               2   3   9   6   7   6        2   3   9   4   15
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2

               2   3   9   4   13   2         2   3   9   4   11   4
       - 48*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   4   9   6        2   3   9   2   15   2
       + 168*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   2   13   4         2   3   9   2   11   6
       - 16*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               2   2   10   13   6      2   2   10   11   8
       - 10*a33 *m1 *m2  *n1  *n2  - a33 *m1 *m2  *n1  *n2

               2   2   10   11   6   2         2   2   10   9   10
       - 75*a33 *m1 *m2  *n1  *n2 *n3  + 22*a33 *m1 *m2  *n1 *n2

               2   2   10   9   8   2          2   2   10   9   6   4
       - 44*a33 *m1 *m2  *n1 *n2 *n3  - 168*a33 *m1 *m2  *n1 *n2 *n3

              2   2   10   7   12         2   2   10   7   10   2
       + 7*a33 *m1 *m2  *n1 *n2   + 81*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   7   8   4          2   2   10   7   6   6
       - 120*a33 *m1 *m2  *n1 *n2 *n3  - 112*a33 *m1 *m2  *n1 *n2 *n3

              2   2   10   5   14         2   2   10   5   12   2
       - 6*a33 *m1 *m2  *n1 *n2   + 38*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   5   10   4         2   2   10   5   8   6
       + 84*a33 *m1 *m2  *n1 *n2  *n3  - 52*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   3   14   2         2   2   10   3   12   4
       - 12*a33 *m1 *m2  *n1 *n2  *n3  + 32*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   3   10   6        2   2   10      14   4
       + 56*a33 *m1 *m2  *n1 *n2  *n3  - 4*a33 *m1 *m2  *n1*n2  *n3

              2   2   10      12   6        2      11   12   7
       - 4*a33 *m1 *m2  *n1*n2  *n3  - 5*a33 *m1*m2  *n1  *n2

              2      11   10   9         2      11   10   7   2
       - 6*a33 *m1*m2  *n1  *n2  - 30*a33 *m1*m2  *n1  *n2 *n3

              2      11   8   11         2      11   8   9   2
       + 3*a33 *m1*m2  *n1 *n2   - 38*a33 *m1*m2  *n1 *n2 *n3

               2      11   8   7   4        2      11   6   13
       - 56*a33 *m1*m2  *n1 *n2 *n3  + 4*a33 *m1*m2  *n1 *n2

              2      11   6   11   2         2      11   6   9   4
       + 4*a33 *m1*m2  *n1 *n2  *n3  - 64*a33 *m1*m2  *n1 *n2 *n3

               2      11   6   7   6         2      11   4   13   2
       - 32*a33 *m1*m2  *n1 *n2 *n3  + 12*a33 *m1*m2  *n1 *n2  *n3

               2      11   4   9   6        2      11   2   13   4
       - 24*a33 *m1*m2  *n1 *n2 *n3  + 8*a33 *m1*m2  *n1 *n2  *n3

              2      11   2   11   6      2   12   11   8        2   12   9   10
       + 8*a33 *m1*m2  *n1 *n2  *n3  - a33 *m2  *n1  *n2  - 2*a33 *m2  *n1 *n2

              2   12   9   8   2      2   12   7   12        2   12   7   10   2
       - 5*a33 *m2  *n1 *n2 *n3  - a33 *m2  *n1 *n2   - 9*a33 *m2  *n1 *n2  *n3

              2   12   7   8   4        2   12   5   12   2
       - 8*a33 *m2  *n1 *n2 *n3  - 4*a33 *m2  *n1 *n2  *n3

               2   12   5   10   4        2   12   5   8   6
       - 12*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2 *n3

              2   12   3   12   4        2   12   3   10   6
       - 4*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3 ) + u1*v3*(

              11   12   6   3           11   12   4   5
      2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   12   2   7           11   10   8   3
       + 8*a33*m1  *n1  *n2 *n3  + 2*a33*m1  *n1  *n2 *n3

                 11   10   6   5           11   10   4   7
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 10      13   7               10      13   5   3
       + 2*a33*m1  *m2*n1  *n2 *n3 - 16*a33*m1  *m2*n1  *n2 *n3

                  10      13   3   5            10      13      7
       + 32*a33*m1  *m2*n1  *n2 *n3  - 16*a33*m1  *m2*n1  *n2*n3

                 10      11   9               10      11   7   3
       + 4*a33*m1  *m2*n1  *n2 *n3 - 10*a33*m1  *m2*n1  *n2 *n3

                  10      11   5   5            10      11   3   7
       - 24*a33*m1  *m2*n1  *n2 *n3  + 56*a33*m1  *m2*n1  *n2 *n3

                 10      9   11              10      9   9   3
       + 2*a33*m1  *m2*n1 *n2  *n3 + 6*a33*m1  *m2*n1 *n2 *n3

                  10      9   7   5            10      9   5   7
       - 56*a33*m1  *m2*n1 *n2 *n3  + 72*a33*m1  *m2*n1 *n2 *n3

                 9   2   14   6               9   2   14   4   3
       - 8*a33*m1 *m2 *n1  *n2 *n3 + 36*a33*m1 *m2 *n1  *n2 *n3

                  9   2   14   2   5           9   2   14   7
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                 9   2   12   8               9   2   12   6   3
       - 4*a33*m1 *m2 *n1  *n2 *n3 - 52*a33*m1 *m2 *n1  *n2 *n3

                   9   2   12   4   5             9   2   12   2   7
       + 200*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   10                9   2   10   8   3
       + 16*a33*m1 *m2 *n1  *n2  *n3 - 102*a33*m1 *m2 *n1  *n2 *n3

                  9   2   10   6   5             9   2   10   4   7
       + 80*a33*m1 *m2 *n1  *n2 *n3  + 144*a33*m1 *m2 *n1  *n2 *n3

                  9   2   8   12               9   2   8   10   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 14*a33*m1 *m2 *n1 *n2  *n3

                   9   2   8   8   5             9   2   8   6   7
       - 160*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                  8   3   15   5               8   3   15   3   3
       + 12*a33*m1 *m2 *n1  *n2 *n3 - 32*a33*m1 *m2 *n1  *n2 *n3

                  8   3   15      5            8   3   13   7
       + 16*a33*m1 *m2 *n1  *n2*n3  - 24*a33*m1 *m2 *n1  *n2 *n3

                   8   3   13   5   3             8   3   13   3   5
       + 196*a33*m1 *m2 *n1  *n2 *n3  - 296*a33*m1 *m2 *n1  *n2 *n3

                  8   3   13      7            8   3   11   9
       + 72*a33*m1 *m2 *n1  *n2*n3  - 54*a33*m1 *m2 *n1  *n2 *n3

                  8   3   11   7   3             8   3   11   5   5
       + 60*a33*m1 *m2 *n1  *n2 *n3  + 456*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   3   7            8   3   9   11
       - 504*a33*m1 *m2 *n1  *n2 *n3  + 12*a33*m1 *m2 *n1 *n2  *n3

                   8   3   9   9   3             8   3   9   7   5
       - 266*a33*m1 *m2 *n1 *n2 *n3  + 544*a33*m1 *m2 *n1 *n2 *n3

                  8   3   9   5   7            8   3   7   13
       + 96*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2  *n3

                  8   3   7   11   3             8   3   7   9   5
       - 98*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                   8   3   7   7   7           7   4   16   4
       + 672*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2 *n3

                  7   4   16   2   3            7   4   14   6
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                   7   4   14   4   3             7   4   14   2   5
       - 206*a33*m1 *m2 *n1  *n2 *n3  + 128*a33*m1 *m2 *n1  *n2 *n3

                  7   4   12   8                7   4   12   6   3
       + 16*a33*m1 *m2 *n1  *n2 *n3 + 372*a33*m1 *m2 *n1  *n2 *n3

                   7   4   12   4   5             7   4   12   2   7
       - 928*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   10                7   4   10   8   3
       - 128*a33*m1 *m2 *n1  *n2  *n3 + 532*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   6   5              7   4   10   4   7
       + 288*a33*m1 *m2 *n1  *n2 *n3  - 1056*a33*m1 *m2 *n1  *n2 *n3

                  7   4   8   12                7   4   8   10   3
       - 40*a33*m1 *m2 *n1 *n2  *n3 - 266*a33*m1 *m2 *n1 *n2  *n3

                    7   4   8   8   5             7   4   8   6   7
       + 1232*a33*m1 *m2 *n1 *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  7   4   6   14                7   4   6   12   3
       + 40*a33*m1 *m2 *n1 *n2  *n3 - 210*a33*m1 *m2 *n1 *n2  *n3

                   7   4   6   10   5              7   4   6   8   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                 6   5   17   3               6   5   15   5
       + 2*a33*m1 *m2 *n1  *n2 *n3 - 44*a33*m1 *m2 *n1  *n2 *n3

                  6   5   15   3   3            6   5   13   7
       + 70*a33*m1 *m2 *n1  *n2 *n3  + 86*a33*m1 *m2 *n1  *n2 *n3

                   6   5   13   5   3             6   5   13   3   5
       - 546*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   6   5   11   9                6   5   11   7   3
       + 152*a33*m1 *m2 *n1  *n2 *n3 + 140*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   5   5             6   5   11   3   7
       - 1568*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                   6   5   9   11                 6   5   9   9   3
       - 110*a33*m1 *m2 *n1 *n2  *n3 + 1036*a33*m1 *m2 *n1 *n2 *n3

                   6   5   9   7   5              6   5   9   5   7
       - 672*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                   6   5   7   13               6   5   7   11   3
       - 100*a33*m1 *m2 *n1 *n2  *n3 + 42*a33*m1 *m2 *n1 *n2  *n3

                    6   5   7   9   5              6   5   7   7   7
       + 1456*a33*m1 *m2 *n1 *n2 *n3  - 1008*a33*m1 *m2 *n1 *n2 *n3

                  6   5   5   15                6   5   5   13   3
       + 30*a33*m1 *m2 *n1 *n2  *n3 - 238*a33*m1 *m2 *n1 *n2  *n3

                   6   5   5   11   5              6   5   5   9   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   6   16   4               5   6   14   6
       + 12*a33*m1 *m2 *n1  *n2 *n3 - 96*a33*m1 *m2 *n1  *n2 *n3

                   5   6   14   4   3            5   6   12   8
       + 210*a33*m1 *m2 *n1  *n2 *n3  + 12*a33*m1 *m2 *n1  *n2 *n3

                   5   6   12   6   3             5   6   12   4   5
       - 742*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                   5   6   10   10                5   6   10   8   3
       + 240*a33*m1 *m2 *n1  *n2  *n3 - 532*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   6   5              5   6   10   4   7
       - 1456*a33*m1 *m2 *n1  *n2 *n3  + 1008*a33*m1 *m2 *n1  *n2 *n3

                  5   6   8   12                5   6   8   10   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 + 924*a33*m1 *m2 *n1 *n2  *n3

                    5   6   8   8   5              5   6   8   6   7
       - 1680*a33*m1 *m2 *n1 *n2 *n3  - 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   6   6   14                5   6   6   12   3
       - 96*a33*m1 *m2 *n1 *n2  *n3 + 350*a33*m1 *m2 *n1 *n2  *n3

                   5   6   6   10   5              5   6   6   8   7
       + 896*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                  5   6   4   16                5   6   4   14   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 154*a33*m1 *m2 *n1 *n2  *n3

                   5   6   4   12   5             5   6   4   10   7
       + 224*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                  4   7   15   5                4   7   13   7
       + 30*a33*m1 *m2 *n1  *n2 *n3 - 100*a33*m1 *m2 *n1  *n2 *n3

                   4   7   13   5   3             4   7   11   9
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 110*a33*m1 *m2 *n1  *n2 *n3

                   4   7   11   7   3              4   7   11   5   5
       - 490*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                   4   7   9   11                4   7   9   9   3
       + 152*a33*m1 *m2 *n1 *n2  *n3 - 924*a33*m1 *m2 *n1 *n2 *n3

                   4   7   9   7   5              4   7   9   5   7
       - 560*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  4   7   7   13                4   7   7   11   3
       + 86*a33*m1 *m2 *n1 *n2  *n3 + 308*a33*m1 *m2 *n1 *n2  *n3

                    4   7   7   9   5             4   7   7   7   7
       - 1680*a33*m1 *m2 *n1 *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  4   7   5   15                4   7   5   13   3
       - 44*a33*m1 *m2 *n1 *n2  *n3 + 338*a33*m1 *m2 *n1 *n2  *n3

                   4   7   5   11   5              4   7   5   9   7
       + 160*a33*m1 *m2 *n1 *n2  *n3  - 1056*a33*m1 *m2 *n1 *n2 *n3

                 4   7   3   17               4   7   3   15   3
       + 2*a33*m1 *m2 *n1 *n2  *n3 - 54*a33*m1 *m2 *n1 *n2  *n3

                   4   7   3   13   5             4   7   3   11   7
       + 160*a33*m1 *m2 *n1 *n2  *n3  + 288*a33*m1 *m2 *n1 *n2  *n3

                  3   8   14   6               3   8   12   8
       + 40*a33*m1 *m2 *n1  *n2 *n3 - 40*a33*m1 *m2 *n1  *n2 *n3

                   3   8   12   6   3             3   8   10   10
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2  *n3

                  3   8   10   8   3             3   8   10   6   5
       - 42*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                  3   8   8   12                3   8   8   10   3
       + 16*a33*m1 *m2 *n1 *n2  *n3 - 644*a33*m1 *m2 *n1 *n2  *n3

                   3   8   8   8   5             3   8   8   6   7
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  3   8   6   14                3   8   6   12   3
       + 56*a33*m1 *m2 *n1 *n2  *n3 - 100*a33*m1 *m2 *n1 *n2  *n3

                   3   8   6   10   5            3   8   6   8   7
       - 864*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                 3   8   4   16                3   8   4   14   3
       - 8*a33*m1 *m2 *n1 *n2  *n3 + 144*a33*m1 *m2 *n1 *n2  *n3

                   3   8   4   12   5             3   8   4   10   7
       - 136*a33*m1 *m2 *n1 *n2  *n3  - 504*a33*m1 *m2 *n1 *n2  *n3

                 3   8   2   16   3            3   8   2   14   5
       - 8*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                  3   8   2   12   7            2   9   13   7
       + 72*a33*m1 *m2 *n1 *n2  *n3  + 30*a33*m1 *m2 *n1  *n2 *n3

                  2   9   11   9                2   9   11   7   3
       + 12*a33*m1 *m2 *n1  *n2 *n3 + 210*a33*m1 *m2 *n1  *n2 *n3

                  2   9   9   11                2   9   9   9   3
       - 54*a33*m1 *m2 *n1 *n2  *n3 + 154*a33*m1 *m2 *n1 *n2 *n3

                   2   9   9   7   5            2   9   7   13
       + 448*a33*m1 *m2 *n1 *n2 *n3  - 24*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   11   3             2   9   7   9   5
       - 188*a33*m1 *m2 *n1 *n2  *n3  + 352*a33*m1 *m2 *n1 *n2 *n3

                   2   9   7   7   7            2   9   5   15
       + 288*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   13   3             2   9   5   11   5
       - 108*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   9   7            2   9   3   15   3
       + 144*a33*m1 *m2 *n1 *n2 *n3  + 24*a33*m1 *m2 *n1 *n2  *n3

                  2   9   3   13   5             2   9   3   11   7
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 136*a33*m1 *m2 *n1 *n2  *n3

                 2   9      15   5           2   9      13   7
       + 8*a33*m1 *m2 *n1*n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                     10   12   8                  10   10   10
       + 12*a33*m1*m2  *n1  *n2 *n3 + 16*a33*m1*m2  *n1  *n2  *n3

                     10   10   8   3              10   8   12
       + 70*a33*m1*m2  *n1  *n2 *n3  - 4*a33*m1*m2  *n1 *n2  *n3

                     10   8   10   3                10   8   8   5
       + 94*a33*m1*m2  *n1 *n2  *n3  + 128*a33*m1*m2  *n1 *n2 *n3

                    10   6   14                   10   6   10   5
       - 8*a33*m1*m2  *n1 *n2  *n3 + 152*a33*m1*m2  *n1 *n2  *n3

                     10   6   8   7               10   4   14   3
       + 72*a33*m1*m2  *n1 *n2 *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                    10   4   12   5               10   4   10   7
       + 8*a33*m1*m2  *n1 *n2  *n3  + 56*a33*m1*m2  *n1 *n2  *n3

                     10   2   14   5               10   2   12   7
       - 16*a33*m1*m2  *n1 *n2  *n3  - 16*a33*m1*m2  *n1 *n2  *n3

                 11   11   9              11   9   11
       + 2*a33*m2  *n1  *n2 *n3 + 4*a33*m2  *n1 *n2  *n3

                  11   9   9   3           11   7   13
       + 10*a33*m2  *n1 *n2 *n3  + 2*a33*m2  *n1 *n2  *n3

                  11   7   11   3            11   7   9   5
       + 18*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

                 11   5   13   3            11   5   11   5
       + 8*a33*m2  *n1 *n2  *n3  + 24*a33*m2  *n1 *n2  *n3

                 11   5   9   7           11   3   13   5
       + 8*a33*m2  *n1 *n2 *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   3   11   7             10   15   6   2
       + 8*a33*m2  *n1 *n2  *n3 ) + u1*( - m1  *n1  *n2 *n3

             10   15   4   4       10   15   2   6       10   13   8   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - 2*m1  *n1  *n2 *n3

             10   13   6   4        10   13   4   6       10   13   2   8
       + 9*m1  *n1  *n2 *n3  - 12*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

           10   11   10   2       10   11   8   4        10   11   6   6
       - m1  *n1  *n2  *n3  + 6*m1  *n1  *n2 *n3  - 12*m1  *n1  *n2 *n3

             10   11   4   8     10   9   10   4       10   9   8   6
       + 8*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2 *n3

             10   9   6   8     9      16   7       9      16   5   2
       + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2  + 8*m1 *m2*n1  *n2 *n3

              9      16   3   4       9      16      6       9      14   9
       - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2*n3  - 3*m1 *m2*n1  *n2

              9      14   7   2        9      14   5   4       9      14      8
       + 15*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  - 8*m1 *m2*n1  *n2*n3

             9      12   11       9      12   9   2        9      12   7   4
       - 3*m1 *m2*n1  *n2   + 7*m1 *m2*n1  *n2 *n3  + 18*m1 *m2*n1  *n2 *n3

              9      12   5   6        9      12   3   8     9      10   13
       - 48*m1 *m2*n1  *n2 *n3  + 16*m1 *m2*n1  *n2 *n3  - m1 *m2*n1  *n2

           9      10   11   2        9      10   9   4        9      10   7   6
       + m1 *m2*n1  *n2  *n3  + 20*m1 *m2*n1  *n2 *n3  - 64*m1 *m2*n1  *n2 *n3

              9      10   5   8     9      8   13   2       9      8   11   4
       + 56*m1 *m2*n1  *n2 *n3  + m1 *m2*n1 *n2  *n3  + 2*m1 *m2*n1 *n2  *n3

              9      8   9   6        9      8   7   8       8   2   17   6
       - 24*m1 *m2*n1 *n2 *n3  + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2

              8   2   17   4   2        8   2   17   2   4       8   2   17   6
       - 18*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3

             8   2   15   8       8   2   15   6   2        8   2   15   4   4
       + 7*m1 *m2 *n1  *n2  - 4*m1 *m2 *n1  *n2 *n3  - 46*m1 *m2 *n1  *n2 *n3

              8   2   15   2   6       8   2   15   8       8   2   13   10
       + 36*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3  - 3*m1 *m2 *n1  *n2

              8   2   13   8   2         8   2   13   6   4
       + 56*m1 *m2 *n1  *n2 *n3  - 132*m1 *m2 *n1  *n2 *n3

              8   2   13   4   6        8   2   13   2   8
       + 76*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              8   2   11   12        8   2   11   10   2
       - 11*m1 *m2 *n1  *n2   + 57*m1 *m2 *n1  *n2  *n3

              8   2   11   8   4        8   2   11   6   6
       - 55*m1 *m2 *n1  *n2 *n3  - 28*m1 *m2 *n1  *n2 *n3

              8   2   11   4   8       8   2   9   14        8   2   9   12   2
       - 12*m1 *m2 *n1  *n2 *n3  - 5*m1 *m2 *n1 *n2   + 20*m1 *m2 *n1 *n2  *n3

             8   2   9   10   4         8   2   9   8   6
       + 2*m1 *m2 *n1 *n2  *n3  - 120*m1 *m2 *n1 *n2 *n3

               8   2   9   6   8       8   2   7   14   2
       + 160*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2  *n3

             8   2   7   12   4        8   2   7   10   6
       - 9*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               8   2   7   8   8       7   3   18   5        7   3   18   3   2
       + 112*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1  *n2  + 16*m1 *m2 *n1  *n2 *n3

             7   3   18      4       7   3   16   7        7   3   16   5   2
       - 8*m1 *m2 *n1  *n2*n3  + 2*m1 *m2 *n1  *n2  - 58*m1 *m2 *n1  *n2 *n3

               7   3   16   3   4        7   3   16      6        7   3   14   9
       + 104*m1 *m2 *n1  *n2 *n3  - 24*m1 *m2 *n1  *n2*n3  + 32*m1 *m2 *n1  *n2

               7   3   14   7   2        7   3   14   5   4
       - 130*m1 *m2 *n1  *n2 *n3  + 48*m1 *m2 *n1  *n2 *n3

              7   3   14   3   6        7   3   14      8        7   3   12   11
       + 40*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2*n3  + 24*m1 *m2 *n1  *n2

             7   3   12   9   2         7   3   12   7   4
       + 8*m1 *m2 *n1  *n2 *n3  - 240*m1 *m2 *n1  *n2 *n3

               7   3   12   5   6         7   3   12   3   8
       + 208*m1 *m2 *n1  *n2 *n3  - 160*m1 *m2 *n1  *n2 *n3

              7   3   10   13         7   3   10   11   2
       - 10*m1 *m2 *n1  *n2   + 104*m1 *m2 *n1  *n2  *n3

               7   3   10   9   4         7   3   10   7   6
       - 208*m1 *m2 *n1  *n2 *n3  + 144*m1 *m2 *n1  *n2 *n3

               7   3   10   5   8        7   3   8   15
       - 192*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1 *n2

              7   3   8   13   2        7   3   8   11   4
       + 50*m1 *m2 *n1 *n2  *n3  - 72*m1 *m2 *n1 *n2  *n3

              7   3   8   9   6         7   3   8   7   8
       - 56*m1 *m2 *n1 *n2 *n3  + 224*m1 *m2 *n1 *n2 *n3

              7   3   6   15   2        7   3   6   13   4
       + 10*m1 *m2 *n1 *n2  *n3  - 40*m1 *m2 *n1 *n2  *n3

              7   3   6   11   6         7   3   6   9   8       6   4   19   4
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1  *n2

             6   4   19   2   2        6   4   17   6        6   4   17   4   2
       - 5*m1 *m2 *n1  *n2 *n3  - 18*m1 *m2 *n1  *n2  + 78*m1 *m2 *n1  *n2 *n3

              6   4   17   2   4        6   4   15   8     6   4   15   6   2
       - 51*m1 *m2 *n1  *n2 *n3  - 38*m1 *m2 *n1  *n2  - m1 *m2 *n1  *n2 *n3

               6   4   15   4   4        6   4   15   2   6
       + 198*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   13   10         6   4   13   8   2
       + 24*m1 *m2 *n1  *n2   - 286*m1 *m2 *n1  *n2 *n3

               6   4   13   6   4        6   4   13   4   6
       + 355*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

               6   4   13   2   8        6   4   11   12
       + 112*m1 *m2 *n1  *n2 *n3  + 60*m1 *m2 *n1  *n2

               6   4   11   10   2        6   4   11   8   4
       - 197*m1 *m2 *n1  *n2  *n3  - 68*m1 *m2 *n1  *n2 *n3

               6   4   11   6   6         6   4   11   4   8
       + 168*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              6   4   9   14        6   4   9   12   2
       + 10*m1 *m2 *n1 *n2   + 50*m1 *m2 *n1 *n2  *n3

               6   4   9   10   4         6   4   9   8   6
       - 219*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2 *n3

               6   4   9   6   8        6   4   7   16        6   4   7   14   2
       - 504*m1 *m2 *n1 *n2 *n3  - 10*m1 *m2 *n1 *n2   + 55*m1 *m2 *n1 *n2  *n3

               6   4   7   12   4         6   4   7   10   6
       - 110*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

               6   4   7   8   8        6   4   5   16   2
       + 112*m1 *m2 *n1 *n2 *n3  + 10*m1 *m2 *n1 *n2  *n3

              6   4   5   14   4         6   4   5   10   8     5   5   20   3
       - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2

              5   5   18   5        5   5   18   3   2       5   5   16   7
       + 17*m1 *m2 *n1  *n2  - 29*m1 *m2 *n1  *n2 *n3  - 3*m1 *m2 *n1  *n2

               5   5   16   5   2         5   5   16   3   4
       + 139*m1 *m2 *n1  *n2 *n3  - 138*m1 *m2 *n1  *n2 *n3

              5   5   14   9         5   5   14   7   2
       - 81*m1 *m2 *n1  *n2  + 225*m1 *m2 *n1  *n2 *n3

               5   5   14   5   4        5   5   14   3   6
       + 124*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              5   5   12   11         5   5   12   9   2
       - 45*m1 *m2 *n1  *n2   - 183*m1 *m2 *n1  *n2 *n3

               5   5   12   7   4         5   5   12   5   6
       + 562*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

               5   5   12   3   8        5   5   10   13
       + 224*m1 *m2 *n1  *n2 *n3  + 45*m1 *m2 *n1  *n2

               5   5   10   11   2         5   5   10   9   4
       - 321*m1 *m2 *n1  *n2  *n3  + 264*m1 *m2 *n1  *n2 *n3

               5   5   10   7   6         5   5   10   5   8
       - 112*m1 *m2 *n1  *n2 *n3  - 112*m1 *m2 *n1  *n2 *n3

              5   5   8   15        5   5   8   13   2        5   5   8   11   4
       + 25*m1 *m2 *n1 *n2   - 57*m1 *m2 *n1 *n2  *n3  - 26*m1 *m2 *n1 *n2  *n3

               5   5   8   9   6         5   5   8   7   8       5   5   6   17
       + 112*m1 *m2 *n1 *n2 *n3  - 672*m1 *m2 *n1 *n2 *n3  - 5*m1 *m2 *n1 *n2

              5   5   6   15   2        5   5   6   13   4
       + 29*m1 *m2 *n1 *n2  *n3  - 44*m1 *m2 *n1 *n2  *n3

               5   5   6   11   6         5   5   6   9   8
       + 168*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2 *n3

             5   5   4   17   2        5   5   4   15   4
       + 5*m1 *m2 *n1 *n2  *n3  - 54*m1 *m2 *n1 *n2  *n3

              5   5   4   13   6         5   5   4   11   8       4   6   19   4
       + 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2

              4   6   17   6        4   6   17   4   2        4   6   15   8
       + 25*m1 *m2 *n1  *n2  - 70*m1 *m2 *n1  *n2 *n3  + 45*m1 *m2 *n1  *n2

              4   6   15   6   2         4   6   15   4   4
       + 85*m1 *m2 *n1  *n2 *n3  - 205*m1 *m2 *n1  *n2 *n3

              4   6   13   10         4   6   13   8   2
       - 45*m1 *m2 *n1  *n2   + 370*m1 *m2 *n1  *n2 *n3

               4   6   13   6   4        4   6   11   12
       - 110*m1 *m2 *n1  *n2 *n3  - 81*m1 *m2 *n1  *n2

               4   6   11   10   2         4   6   11   8   4
       + 113*m1 *m2 *n1  *n2  *n3  + 369*m1 *m2 *n1  *n2 *n3

               4   6   11   6   6         4   6   11   4   8
       - 112*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

             4   6   9   14         4   6   9   12   2
       - 3*m1 *m2 *n1 *n2   - 190*m1 *m2 *n1 *n2  *n3

               4   6   9   10   4         4   6   9   8   6
       + 324*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2 *n3

               4   6   9   6   8        4   6   7   16        4   6   7   14   2
       + 112*m1 *m2 *n1 *n2 *n3  + 17*m1 *m2 *n1 *n2   - 83*m1 *m2 *n1 *n2  *n3

               4   6   7   12   4         4   6   7   10   6
       + 103*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

               4   6   7   8   8     4   6   5   18       4   6   5   16   2
       - 504*m1 *m2 *n1 *n2 *n3  - m1 *m2 *n1 *n2   + 6*m1 *m2 *n1 *n2  *n3

              4   6   5   14   4        4   6   5   12   6
       + 30*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   5   10   8     4   6   3   18   2
       - 224*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2  *n3

              4   6   3   16   4        4   6   3   14   6
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   3   12   8        3   7   18   5        3   7   16   7
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 10*m1 *m2 *n1  *n2

              3   7   16   5   2        3   7   14   9        3   7   14   7   2
       - 90*m1 *m2 *n1  *n2 *n3  + 60*m1 *m2 *n1  *n2  - 50*m1 *m2 *n1  *n2 *n3

               3   7   14   5   4        3   7   12   11
       - 180*m1 *m2 *n1  *n2 *n3  + 24*m1 *m2 *n1  *n2

               3   7   12   9   2         3   7   12   7   4
       + 232*m1 *m2 *n1  *n2 *n3  - 240*m1 *m2 *n1  *n2 *n3

              3   7   12   5   6        3   7   10   13
       + 56*m1 *m2 *n1  *n2 *n3  - 38*m1 *m2 *n1  *n2

               3   7   10   11   2        3   7   10   9   4
       + 216*m1 *m2 *n1  *n2  *n3  + 44*m1 *m2 *n1  *n2 *n3

              3   7   10   7   6         3   7   10   5   8
       + 56*m1 *m2 *n1  *n2 *n3  + 224*m1 *m2 *n1  *n2 *n3

              3   7   8   15        3   7   8   13   2
       - 18*m1 *m2 *n1 *n2   - 14*m1 *m2 *n1 *n2  *n3

               3   7   8   11   4         3   7   8   9   6
       + 128*m1 *m2 *n1 *n2  *n3  - 144*m1 *m2 *n1 *n2 *n3

               3   7   8   7   8       3   7   6   17        3   7   6   15   2
       + 224*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1 *n2   - 38*m1 *m2 *n1 *n2  *n3

              3   7   6   13   4         3   7   6   11   6
       + 60*m1 *m2 *n1 *n2  *n3  - 208*m1 *m2 *n1 *n2  *n3

               3   7   6   9   8        3   7   4   15   4
       - 192*m1 *m2 *n1 *n2 *n3  + 32*m1 *m2 *n1 *n2  *n3

              3   7   4   13   6         3   7   4   11   8
       - 40*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2  *n3

             3   7   2   17   4        3   7   2   15   6
       - 4*m1 *m2 *n1 *n2  *n3  + 24*m1 *m2 *n1 *n2  *n3

              3   7   2   13   8        2   8   17   6        2   8   15   8
       + 32*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  - 10*m1 *m2 *n1  *n2

              2   8   15   6   2        2   8   13   10
       - 65*m1 *m2 *n1  *n2 *n3  + 24*m1 *m2 *n1  *n2

               2   8   13   8   2        2   8   13   6   4
       - 104*m1 *m2 *n1  *n2 *n3  - 93*m1 *m2 *n1  *n2 *n3

              2   8   11   12        2   8   11   10   2
       + 32*m1 *m2 *n1  *n2   + 27*m1 *m2 *n1  *n2  *n3

               2   8   11   8   4        2   8   11   6   6       2   8   9   14
       - 166*m1 *m2 *n1  *n2 *n3  + 56*m1 *m2 *n1  *n2 *n3  + 2*m1 *m2 *n1 *n2

               2   8   9   12   2        2   8   9   10   4
       + 100*m1 *m2 *n1 *n2  *n3  - 67*m1 *m2 *n1 *n2  *n3

               2   8   9   8   6         2   8   9   6   8       2   8   7   16
       + 120*m1 *m2 *n1 *n2 *n3  + 112*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1 *n2

              2   8   7   14   2        2   8   7   10   6
       + 28*m1 *m2 *n1 *n2  *n3  + 28*m1 *m2 *n1 *n2  *n3

               2   8   7   8   8       2   8   5   16   2
       + 160*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1 *n2  *n3

             2   8   5   14   4        2   8   5   12   6
       + 2*m1 *m2 *n1 *n2  *n3  - 76*m1 *m2 *n1 *n2  *n3

              2   8   5   10   8       2   8   3   16   4
       - 12*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1 *n2  *n3

              2   8   3   14   6        2   8   3   12   8
       - 36*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

             2   8      16   6       2   8      14   8          9   16   7
       + 4*m1 *m2 *n1*n2  *n3  + 4*m1 *m2 *n1*n2  *n3  - 5*m1*m2 *n1  *n2

                 9   14   9           9   14   7   2          9   12   11
       - 11*m1*m2 *n1  *n2  - 25*m1*m2 *n1  *n2 *n3  - 3*m1*m2 *n1  *n2

                 9   12   9   2           9   12   7   4          9   10   13
       - 57*m1*m2 *n1  *n2 *n3  - 26*m1*m2 *n1  *n2 *n3  + 7*m1*m2 *n1  *n2

                 9   10   11   2           9   10   9   4
       - 31*m1*m2 *n1  *n2  *n3  - 52*m1*m2 *n1  *n2 *n3

                 9   10   7   6          9   8   15          9   8   13   2
       + 24*m1*m2 *n1  *n2 *n3  + 4*m1*m2 *n1 *n2   + 9*m1*m2 *n1 *n2  *n3

                 9   8   11   4           9   8   9   6           9   8   7   8
       - 30*m1*m2 *n1 *n2  *n3  + 64*m1*m2 *n1 *n2 *n3  + 32*m1*m2 *n1 *n2 *n3

                9   6   15   2          9   6   13   4           9   6   11   6
       + 8*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1 *n2  *n3  + 48*m1*m2 *n1 *n2  *n3

                 9   6   9   8          9   4   15   4           9   4   11   8
       + 56*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2  *n3  + 16*m1*m2 *n1 *n2  *n3

                9   2   15   6          9   2   13   8     10   15   8
       - 8*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1 *n2  *n3  - m2  *n1  *n2

             10   13   10       10   13   8   2       10   11   12
       - 3*m2  *n1  *n2   - 4*m2  *n1  *n2 *n3  - 3*m2  *n1  *n2

              10   11   10   2       10   11   8   4     10   9   14
       - 11*m2  *n1  *n2  *n3  - 3*m2  *n1  *n2 *n3  - m2  *n1 *n2

              10   9   12   2       10   9   10   4       10   9   8   6
       - 10*m2  *n1 *n2  *n3  - 6*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2 *n3

             10   7   14   2       10   7   12   4        10   7   10   6
       - 3*m2  *n1 *n2  *n3  - 3*m2  *n1 *n2  *n3  + 12*m2  *n1 *n2  *n3

             10   7   8   8        10   5   12   6       10   5   10   8
       + 4*m2  *n1 *n2 *n3  + 12*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2  *n3

             10   3   14   6       10   3   12   8      3
       + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3 ) + u2 *(

         2   10   12   7   2        2   10   12   5   4
      a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              2   10   12   3   6        2   10   10   9   2
       + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

              2   10   10   7   4        2   10   10   5   6
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

            2   10   8   11   2        2   10   8   9   4
       + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

              2   10   8   7   6      2   9      13   8
       + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2

              2   9      13   6   2         2   9      13   4   4
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      13   2   6        2   9      11   10
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1  *n2

               2   9      11   8   2        2   9      11   6   4
       - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   4   6        2   9      9   12
       + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1 *n2

              2   9      9   10   2         2   9      9   8   4
       - 4*a33 *m1 *m2*n1 *n2  *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

               2   9      9   6   6      2   9      7   14
       + 56*a33 *m1 *m2*n1 *n2 *n3  + a33 *m1 *m2*n1 *n2

              2   9      7   12   2         2   9      7   10   4
       + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2  *n3

               2   9      7   8   6        2   8   2   14   7
       + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

               2   8   2   14   5   2         2   8   2   14   3   4
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   14      6        2   8   2   12   9
       + 4*a33 *m1 *m2 *n1  *n2*n3  - 7*a33 *m1 *m2 *n1  *n2

               2   8   2   12   5   4         2   8   2   12   3   6
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   10   11         2   8   2   10   9   2
       + 3*a33 *m1 *m2 *n1  *n2   - 63*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   10   7   4         2   8   2   10   5   6
       + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   8   13         2   8   2   8   11   2
       + 11*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

              2   8   2   8   9   4          2   8   2   8   7   6
       - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   8   2   6   15        2   8   2   6   13   2
       + 5*a33 *m1 *m2 *n1 *n2   - 9*a33 *m1 *m2 *n1 *n2  *n3

               2   8   2   6   11   4          2   8   2   6   9   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   3   15   6         2   7   3   15   4   2
       + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

              2   7   3   15   2   4        2   7   3   13   8
       + 8*a33 *m1 *m2 *n1  *n2 *n3  - 2*a33 *m1 *m2 *n1  *n2

               2   7   3   13   6   2          2   7   3   13   4   4
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13   2   6         2   7   3   11   10
       + 32*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2

                2   7   3   11   8   2         2   7   3   11   6   4
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   4   6         2   7   3   9   12
       - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

               2   7   3   9   10   2          2   7   3   9   8   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3  + 368*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   9   6   6         2   7   3   7   14
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   7   3   7   12   2          2   7   3   7   10   4
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   7   8   6         2   7   3   5   16
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               2   7   3   5   14   2         2   7   3   5   12   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   5   10   6        2   6   4   16   5
       + 224*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1  *n2

              2   6   4   16   3   2         2   6   4   14   7
       + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2

               2   6   4   14   5   2         2   6   4   14   3   4
       - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   12   9         2   6   4   12   7   2
       + 38*a33 *m1 *m2 *n1  *n2  + 19*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   12   5   4          2   6   4   12   3   6
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   10   11          2   6   4   10   9   2
       - 24*a33 *m1 *m2 *n1  *n2   + 324*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   10   7   4          2   6   4   10   5   6
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   8   13          2   6   4   8   11   2
       - 60*a33 *m1 *m2 *n1 *n2   + 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   8   9   4          2   6   4   8   7   6
       + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   6   15          2   6   4   6   13   2
       - 10*a33 *m1 *m2 *n1 *n2   - 110*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   6   11   4          2   6   4   6   9   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   4   17         2   6   4   4   15   2
       + 10*a33 *m1 *m2 *n1 *n2   - 65*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   4   11   6      2   5   5   17   4
       + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

               2   5   5   15   6         2   5   5   15   4   2
       - 17*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

              2   5   5   13   8          2   5   5   13   6   2
       + 3*a33 *m1 *m2 *n1  *n2  - 156*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   13   4   4         2   5   5   11   10
       + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2

                2   5   5   11   8   2          2   5   5   11   6   4
       - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   4   6         2   5   5   9   12
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2

                2   5   5   9   10   2          2   5   5   9   8   4
       + 264*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   5   5   9   6   6         2   5   5   7   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2

                2   5   5   7   12   2          2   5   5   7   8   6
       + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   5   5   5   16         2   5   5   5   14   2
       - 25*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   5   12   4          2   5   5   5   10   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

              2   5   5   3   18         2   5   5   3   16   2
       + 5*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

               2   5   5   3   14   4          2   5   5   3   12   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

              2   4   6   16   5         2   4   6   14   7
       + 5*a33 *m1 *m2 *n1  *n2  - 25*a33 *m1 *m2 *n1  *n2

               2   4   6   14   5   2         2   4   6   12   9
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2

                2   4   6   12   7   2          2   4   6   12   5   4
       - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   10   11          2   4   6   10   9   2
       + 45*a33 *m1 *m2 *n1  *n2   - 415*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   10   5   6         2   4   6   8   13
       + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2

               2   4   6   8   11   2          2   4   6   8   9   4
       - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   6   8   7   6        2   4   6   6   15
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                2   4   6   6   13   2          2   4   6   6   11   4
       + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   9   6         2   4   6   4   17
       - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2

               2   4   6   4   15   2          2   4   6   4   13   4
       + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   4   11   6      2   4   6   2   19
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2

               2   4   6   2   17   2         2   4   6   2   15   4
       - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   2   13   6         2   3   7   15   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   3   7   13   8          2   3   7   13   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   11   10         2   3   7   11   8   2
       - 60*a33 *m1 *m2 *n1  *n2   + 40*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   11   6   4         2   3   7   9   12
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

                2   3   7   9   10   2          2   3   7   9   8   4
       - 292*a33 *m1 *m2 *n1 *n2  *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   9   6   6         2   3   7   7   14
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2

                2   3   7   7   12   2          2   3   7   7   10   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   7   8   6         2   3   7   5   16
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2

               2   3   7   5   14   2          2   3   7   5   12   4
       + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   5   10   6        2   3   7   3   18
       - 192*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1 *n2

               2   3   7   3   16   2        2   3   7   3   14   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   3   12   6        2   3   7      18   2
       - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   7      16   4         2   3   7      14   6
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               2   2   8   14   7         2   2   8   12   9
       + 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

               2   2   8   12   7   2         2   2   8   10   11
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                2   2   8   10   9   2          2   2   8   10   7   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   8   13         2   2   8   8   11   2
       - 32*a33 *m1 *m2 *n1 *n2   - 51*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   8   9   4          2   2   8   8   7   6
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   6   15          2   2   8   6   13   2
       - 2*a33 *m1 *m2 *n1 *n2   - 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   6   11   4          2   2   8   6   9   6
       + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   4   17         2   2   8   4   15   2
       + 6*a33 *m1 *m2 *n1 *n2   - 30*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   4   13   4         2   2   8   4   11   6
       - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   17   2         2   2   8   2   15   4
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   13   6        2   2   8   17   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              2   2   8   15   6        2      9   13   8
       + 4*a33 *m1 *m2 *n2  *n3  + 5*a33 *m1*m2 *n1  *n2

               2      9   11   10         2      9   11   8   2
       + 11*a33 *m1*m2 *n1  *n2   + 30*a33 *m1*m2 *n1  *n2 *n3

              2      9   9   12         2      9   9   10   2
       + 3*a33 *m1*m2 *n1 *n2   + 68*a33 *m1*m2 *n1 *n2  *n3

               2      9   9   8   4        2      9   7   14
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 7*a33 *m1*m2 *n1 *n2

               2      9   7   12   2          2      9   7   10   4
       + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2  *n3

               2      9   7   8   6        2      9   5   16
       + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2

               2      9   5   14   2         2      9   5   12   4
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   10   6         2      9   3   16   2
       + 56*a33 *m1*m2 *n1 *n2  *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

              2      9   3   14   4         2      9   3   12   6
       - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

              2      9      16   4        2      9      14   6
       - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2  *n3

            2   10   12   9        2   10   10   11        2   10   10   9   2
       + a33 *m2  *n1  *n2  + 3*a33 *m2  *n1  *n2   + 5*a33 *m2  *n1  *n2 *n3

              2   10   8   13         2   10   8   11   2
       + 3*a33 *m2  *n1 *n2   + 14*a33 *m2  *n1 *n2  *n3

              2   10   8   9   4      2   10   6   15
       + 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

               2   10   6   13   2         2   10   6   11   4
       + 13*a33 *m2  *n1 *n2  *n3  + 20*a33 *m2  *n1 *n2  *n3

              2   10   6   9   6        2   10   4   15   2
       + 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

               2   10   4   13   4        2   10   4   11   6
       + 16*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3

              2   10   2   15   4        2   10   2   13   6      2   2
       + 4*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3 ) + u2 *u3 *(

         3   10   12   6   2        3   10   12   4   4
      a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              3   10   12   2   6        3   10   10   8   2
       + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

              3   10   10   6   4        3   10   10   4   6
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

            3   10   8   10   2        3   10   8   8   4
       + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

              3   10   8   6   6      3   9      13   7
       + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2

              3   9      13   5   2         3   9      13   3   4
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

              3   9      13      6        3   9      11   9
       - 8*a33 *m1 *m2*n1  *n2*n3  + 3*a33 *m1 *m2*n1  *n2

               3   9      11   7   2        3   9      11   5   4
       - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

               3   9      11   3   6        3   9      9   11
       + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1 *n2

              3   9      9   9   2         3   9      9   7   4
       - 4*a33 *m1 *m2*n1 *n2 *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

               3   9      9   5   6      3   9      7   13
       + 56*a33 *m1 *m2*n1 *n2 *n3  + a33 *m1 *m2*n1 *n2

              3   9      7   11   2         3   9      7   9   4
       + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2 *n3

               3   9      7   7   6        3   8   2   14   6
       + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

               3   8   2   14   4   2         3   8   2   14   2   4
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              3   8   2   14   6        3   8   2   12   8
       + 4*a33 *m1 *m2 *n1  *n3  - 7*a33 *m1 *m2 *n1  *n2

               3   8   2   12   4   4         3   8   2   12   2   6
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              3   8   2   10   10         3   8   2   10   8   2
       + 3*a33 *m1 *m2 *n1  *n2   - 63*a33 *m1 *m2 *n1  *n2 *n3

                3   8   2   10   6   4         3   8   2   10   4   6
       + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

               3   8   2   8   12         3   8   2   8   10   2
       + 11*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

              3   8   2   8   8   4          3   8   2   8   6   6
       - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              3   8   2   6   14        3   8   2   6   12   2
       + 5*a33 *m1 *m2 *n1 *n2   - 9*a33 *m1 *m2 *n1 *n2  *n3

               3   8   2   6   10   4          3   8   2   6   8   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              3   7   3   15   5         3   7   3   15   3   2
       + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

              3   7   3   15      4        3   7   3   13   7
       + 8*a33 *m1 *m2 *n1  *n2*n3  - 2*a33 *m1 *m2 *n1  *n2

               3   7   3   13   5   2          3   7   3   13   3   4
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

               3   7   3   13      6         3   7   3   11   9
       + 32*a33 *m1 *m2 *n1  *n2*n3  - 32*a33 *m1 *m2 *n1  *n2

                3   7   3   11   7   2         3   7   3   11   5   4
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                3   7   3   11   3   6         3   7   3   9   11
       - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

               3   7   3   9   9   2          3   7   3   9   7   4
       - 40*a33 *m1 *m2 *n1 *n2 *n3  + 368*a33 *m1 *m2 *n1 *n2 *n3

                3   7   3   9   5   6         3   7   3   7   13
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                3   7   3   7   11   2          3   7   3   7   9   4
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                3   7   3   7   7   6         3   7   3   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               3   7   3   5   13   2         3   7   3   5   11   4
       - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                3   7   3   5   9   6        3   6   4   16   4
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

              3   6   4   16   2   2         3   6   4   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2

               3   6   4   14   4   2         3   6   4   14   2   4
       - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

               3   6   4   12   8         3   6   4   12   6   2
       + 38*a33 *m1 *m2 *n1  *n2  + 19*a33 *m1 *m2 *n1  *n2 *n3

                3   6   4   12   4   4          3   6   4   12   2   6
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               3   6   4   10   10          3   6   4   10   8   2
       - 24*a33 *m1 *m2 *n1  *n2   + 324*a33 *m1 *m2 *n1  *n2 *n3

                3   6   4   10   6   4          3   6   4   10   4   6
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               3   6   4   8   12          3   6   4   8   10   2
       - 60*a33 *m1 *m2 *n1 *n2   + 173*a33 *m1 *m2 *n1 *n2  *n3

                3   6   4   8   8   4          3   6   4   8   6   6
       + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

               3   6   4   6   14          3   6   4   6   12   2
       - 10*a33 *m1 *m2 *n1 *n2   - 110*a33 *m1 *m2 *n1 *n2  *n3

                3   6   4   6   10   4          3   6   4   6   8   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               3   6   4   4   16         3   6   4   4   14   2
       + 10*a33 *m1 *m2 *n1 *n2   - 65*a33 *m1 *m2 *n1 *n2  *n3

                3   6   4   4   10   6      3   5   5   17   3
       + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

               3   5   5   15   5         3   5   5   15   3   2
       - 17*a33 *m1 *m2 *n1  *n2  + 30*a33 *m1 *m2 *n1  *n2 *n3

              3   5   5   13   7          3   5   5   13   5   2
       + 3*a33 *m1 *m2 *n1  *n2  - 156*a33 *m1 *m2 *n1  *n2 *n3

                3   5   5   13   3   4         3   5   5   11   9
       + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2

                3   5   5   11   7   2          3   5   5   11   5   4
       - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                3   5   5   11   3   6         3   5   5   9   11
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2

                3   5   5   9   9   2          3   5   5   9   7   4
       + 264*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                3   5   5   9   5   6         3   5   5   7   13
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2

                3   5   5   7   11   2          3   5   5   7   7   6
       + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               3   5   5   5   15         3   5   5   5   13   2
       - 25*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                3   5   5   5   11   4          3   5   5   5   9   6
       + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              3   5   5   3   17         3   5   5   3   15   2
       + 5*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

               3   5   5   3   13   4          3   5   5   3   11   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

              3   4   6   16   4         3   4   6   14   6
       + 5*a33 *m1 *m2 *n1  *n2  - 25*a33 *m1 *m2 *n1  *n2

               3   4   6   14   4   2         3   4   6   12   8
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2

                3   4   6   12   6   2          3   4   6   12   4   4
       - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               3   4   6   10   10          3   4   6   10   8   2
       + 45*a33 *m1 *m2 *n1  *n2   - 415*a33 *m1 *m2 *n1  *n2 *n3

                3   4   6   10   4   6         3   4   6   8   12
       + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2

               3   4   6   8   10   2          3   4   6   8   8   4
       - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                3   4   6   8   6   6        3   4   6   6   14
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                3   4   6   6   12   2          3   4   6   6   10   4
       + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                3   4   6   6   8   6         3   4   6   4   16
       - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2

               3   4   6   4   14   2          3   4   6   4   12   4
       + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                3   4   6   4   10   6      3   4   6   2   18
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2

               3   4   6   2   16   2         3   4   6   2   14   4
       - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                3   4   6   2   12   6         3   3   7   15   5
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               3   3   7   13   7          3   3   7   13   5   2
       - 10*a33 *m1 *m2 *n1  *n2  + 100*a33 *m1 *m2 *n1  *n2 *n3

               3   3   7   11   9         3   3   7   11   7   2
       - 60*a33 *m1 *m2 *n1  *n2  + 40*a33 *m1 *m2 *n1  *n2 *n3

                3   3   7   11   5   4         3   3   7   9   11
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

                3   3   7   9   9   2          3   3   7   9   7   4
       - 292*a33 *m1 *m2 *n1 *n2 *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

                3   3   7   9   5   6         3   3   7   7   13
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2

                3   3   7   7   11   2          3   3   7   7   9   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                3   3   7   7   7   6         3   3   7   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2

               3   3   7   5   13   2          3   3   7   5   11   4
       + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                3   3   7   5   9   6        3   3   7   3   17
       - 192*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2

               3   3   7   3   15   2        3   3   7   3   13   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                3   3   7   3   11   6        3   3   7      17   2
       - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

               3   3   7      15   4         3   3   7      13   6
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               3   2   8   14   6         3   2   8   12   8
       + 10*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

               3   2   8   12   6   2         3   2   8   10   10
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2

                3   2   8   10   8   2          3   2   8   10   6   4
       + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               3   2   8   8   12         3   2   8   8   10   2
       - 32*a33 *m1 *m2 *n1 *n2   - 51*a33 *m1 *m2 *n1 *n2  *n3

                3   2   8   8   8   4          3   2   8   8   6   6
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              3   2   8   6   14          3   2   8   6   12   2
       - 2*a33 *m1 *m2 *n1 *n2   - 132*a33 *m1 *m2 *n1 *n2  *n3

               3   2   8   6   10   4          3   2   8   6   8   6
       + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              3   2   8   4   16         3   2   8   4   14   2
       + 6*a33 *m1 *m2 *n1 *n2   - 30*a33 *m1 *m2 *n1 *n2  *n3

                3   2   8   4   12   4         3   2   8   4   10   6
       - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               3   2   8   2   16   2         3   2   8   2   14   4
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

               3   2   8   2   12   6        3   2   8   16   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              3   2   8   14   6        3      9   13   7
       + 4*a33 *m1 *m2 *n2  *n3  + 5*a33 *m1*m2 *n1  *n2

               3      9   11   9         3      9   11   7   2
       + 11*a33 *m1*m2 *n1  *n2  + 30*a33 *m1*m2 *n1  *n2 *n3

              3      9   9   11         3      9   9   9   2
       + 3*a33 *m1*m2 *n1 *n2   + 68*a33 *m1*m2 *n1 *n2 *n3

               3      9   9   7   4        3      9   7   13
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 7*a33 *m1*m2 *n1 *n2

               3      9   7   11   2          3      9   7   9   4
       + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2 *n3

               3      9   7   7   6        3      9   5   15
       + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2

               3      9   5   13   2         3      9   5   11   4
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

               3      9   5   9   6         3      9   3   15   2
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

              3      9   3   13   4         3      9   3   11   6
       - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

              3      9      15   4        3      9      13   6
       - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2  *n3

            3   10   12   8        3   10   10   10        3   10   10   8   2
       + a33 *m2  *n1  *n2  + 3*a33 *m2  *n1  *n2   + 5*a33 *m2  *n1  *n2 *n3

              3   10   8   12         3   10   8   10   2
       + 3*a33 *m2  *n1 *n2   + 14*a33 *m2  *n1 *n2  *n3

              3   10   8   8   4      3   10   6   14
       + 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

               3   10   6   12   2         3   10   6   10   4
       + 13*a33 *m2  *n1 *n2  *n3  + 20*a33 *m2  *n1 *n2  *n3

              3   10   6   8   6        3   10   4   14   2
       + 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

               3   10   4   12   4        3   10   4   10   6
       + 16*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3

              3   10   2   14   4        3   10   2   12   6      2
       + 4*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3 ) + u2 *u3*(

         2   10   12   6   3        2   10   12   4   5
      a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

              2   10   12   2   7        2   10   10   8   3
       + 4*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1  *n2 *n3

              2   10   10   6   5        2   10   10   4   7
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

            2   10   8   10   3        2   10   8   8   5
       + a33 *m1  *n1 *n2  *n3  - 4*a33 *m1  *n1 *n2 *n3

              2   10   8   6   7      2   9      13   7
       + 4*a33 *m1  *n1 *n2 *n3  + a33 *m1 *m2*n1  *n2 *n3

              2   9      13   5   3         2   9      13   3   5
       - 8*a33 *m1 *m2*n1  *n2 *n3  + 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      13      7        2   9      11   9
       - 8*a33 *m1 *m2*n1  *n2*n3  + 3*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   7   3        2   9      11   5   5
       - 14*a33 *m1 *m2*n1  *n2 *n3  + 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   3   7        2   9      9   11
       + 16*a33 *m1 *m2*n1  *n2 *n3  + 3*a33 *m1 *m2*n1 *n2  *n3

              2   9      9   9   3         2   9      9   7   5
       - 4*a33 *m1 *m2*n1 *n2 *n3  - 32*a33 *m1 *m2*n1 *n2 *n3

               2   9      9   5   7      2   9      7   13
       + 56*a33 *m1 *m2*n1 *n2 *n3  + a33 *m1 *m2*n1 *n2  *n3

              2   9      7   11   3         2   9      7   9   5
       + 2*a33 *m1 *m2*n1 *n2  *n3  - 24*a33 *m1 *m2*n1 *n2 *n3

               2   9      7   7   7        2   8   2   14   6
       + 32*a33 *m1 *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   14   4   3         2   8   2   14   2   5
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   14   7        2   8   2   12   8
       + 4*a33 *m1 *m2 *n1  *n3  - 7*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   12   4   5         2   8   2   12   2   7
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   10   10            2   8   2   10   8   3
       + 3*a33 *m1 *m2 *n1  *n2  *n3 - 63*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   10   6   5         2   8   2   10   4   7
       + 132*a33 *m1 *m2 *n1  *n2 *n3  - 12*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   8   12            2   8   2   8   10   3
       + 11*a33 *m1 *m2 *n1 *n2  *n3 - 54*a33 *m1 *m2 *n1 *n2  *n3

              2   8   2   8   8   5          2   8   2   8   6   7
       - 8*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   8   2   6   14           2   8   2   6   12   3
       + 5*a33 *m1 *m2 *n1 *n2  *n3 - 9*a33 *m1 *m2 *n1 *n2  *n3

               2   8   2   6   10   5          2   8   2   6   8   7
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   3   15   5            2   7   3   15   3   3
       + 6*a33 *m1 *m2 *n1  *n2 *n3 - 16*a33 *m1 *m2 *n1  *n2 *n3

              2   7   3   15      5        2   7   3   13   7
       + 8*a33 *m1 *m2 *n1  *n2*n3  - 2*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13   5   3          2   7   3   13   3   5
       + 64*a33 *m1 *m2 *n1  *n2 *n3  - 120*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13      7         2   7   3   11   9
       + 32*a33 *m1 *m2 *n1  *n2*n3  - 32*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   7   3         2   7   3   11   5   5
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   3   7         2   7   3   9   11
       - 160*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               2   7   3   9   9   3          2   7   3   9   7   5
       - 40*a33 *m1 *m2 *n1 *n2 *n3  + 368*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   9   5   7         2   7   3   7   13
       - 192*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   7   11   3          2   7   3   7   9   5
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   7   7   7         2   7   3   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

               2   7   3   5   13   3         2   7   3   5   11   5
       - 40*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   5   9   7        2   6   4   16   4
       + 224*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2 *n3

              2   6   4   16   2   3         2   6   4   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3  + 18*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   14   4   3         2   6   4   14   2   5
       - 82*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   12   8            2   6   4   12   6   3
       + 38*a33 *m1 *m2 *n1  *n2 *n3 + 19*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   12   4   5          2   6   4   12   2   7
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   10   10             2   6   4   10   8   3
       - 24*a33 *m1 *m2 *n1  *n2  *n3 + 324*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   10   6   5          2   6   4   10   4   7
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   8   12             2   6   4   8   10   3
       - 60*a33 *m1 *m2 *n1 *n2  *n3 + 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   8   8   5          2   6   4   8   6   7
       + 392*a33 *m1 *m2 *n1 *n2 *n3  - 504*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   6   14             2   6   4   6   12   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 - 110*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   6   10   5          2   6   4   6   8   7
       + 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   4   16            2   6   4   4   14   3
       + 10*a33 *m1 *m2 *n1 *n2  *n3 - 65*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   4   10   7      2   5   5   17   3
       + 280*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2 *n3

               2   5   5   15   5            2   5   5   15   3   3
       - 17*a33 *m1 *m2 *n1  *n2 *n3 + 30*a33 *m1 *m2 *n1  *n2 *n3

              2   5   5   13   7             2   5   5   13   5   3
       + 3*a33 *m1 *m2 *n1  *n2 *n3 - 156*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   13   3   5         2   5   5   11   9
       + 168*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   7   3          2   5   5   11   5   5
       - 222*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   3   7         2   5   5   9   11
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   9   9   3          2   5   5   9   7   5
       + 264*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   5   5   9   5   7         2   5   5   7   13
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   7   11   3          2   5   5   7   7   7
       + 366*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   5   5   5   15            2   5   5   5   13   3
       - 25*a33 *m1 *m2 *n1 *n2  *n3 + 12*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   5   11   5          2   5   5   5   9   7
       + 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   5   5   3   17            2   5   5   3   15   3
       + 5*a33 *m1 *m2 *n1 *n2  *n3 - 54*a33 *m1 *m2 *n1 *n2  *n3

               2   5   5   3   13   5          2   5   5   3   11   7
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

              2   4   6   16   4            2   4   6   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3 - 25*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   14   4   3         2   4   6   12   8
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   12   6   3          2   4   6   12   4   5
       - 110*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   10   10             2   4   6   10   8   3
       + 45*a33 *m1 *m2 *n1  *n2  *n3 - 415*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   10   4   7         2   4   6   8   12
       + 280*a33 *m1 *m2 *n1  *n2 *n3  + 81*a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   8   10   3          2   4   6   8   8   5
       - 68*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   6   8   6   7        2   4   6   6   14
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   12   3          2   4   6   6   10   5
       + 271*a33 *m1 *m2 *n1 *n2  *n3  - 392*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   8   7         2   4   6   4   16
       - 504*a33 *m1 *m2 *n1 *n2 *n3  - 17*a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   4   14   3          2   4   6   4   12   5
       + 86*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   4   10   7      2   4   6   2   18
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   2   16   3         2   4   6   2   14   5
       - 23*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   2   12   7         2   3   7   15   5
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   13   7             2   3   7   13   5   3
       - 10*a33 *m1 *m2 *n1  *n2 *n3 + 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   11   9            2   3   7   11   7   3
       - 60*a33 *m1 *m2 *n1  *n2 *n3 + 40*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   11   5   5         2   3   7   9   11
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   9   9   3          2   3   7   9   7   5
       - 292*a33 *m1 *m2 *n1 *n2 *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   9   5   7         2   3   7   7   13
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 38*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   7   11   3          2   3   7   7   9   5
       - 240*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   7   7   7         2   3   7   5   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 18*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   5   13   3          2   3   7   5   11   5
       + 52*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   5   9   7        2   3   7   3   17
       - 192*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   3   15   3        2   3   7   3   13   5
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   3   11   7        2   3   7      17   3
       - 160*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   7      15   5         2   3   7      13   7
       + 24*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               2   2   8   14   6            2   2   8   12   8
       + 10*a33 *m1 *m2 *n1  *n2 *n3 + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   12   6   3         2   2   8   10   10
       + 75*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2  *n3

                2   2   8   10   8   3          2   2   8   10   6   5
       + 114*a33 *m1 *m2 *n1  *n2 *n3  + 168*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   8   12            2   2   8   8   10   3
       - 32*a33 *m1 *m2 *n1 *n2  *n3 - 51*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   8   8   5          2   2   8   8   6   7
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   6   14             2   2   8   6   12   3
       - 2*a33 *m1 *m2 *n1 *n2  *n3 - 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   6   10   5          2   2   8   6   8   7
       + 16*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   4   16            2   2   8   4   14   3
       + 6*a33 *m1 *m2 *n1 *n2  *n3 - 30*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   4   12   5         2   2   8   4   10   7
       - 132*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   16   3         2   2   8   2   14   5
       + 12*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   12   7        2   2   8   16   5
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              2   2   8   14   7        2      9   13   7
       + 4*a33 *m1 *m2 *n2  *n3  + 5*a33 *m1*m2 *n1  *n2 *n3

               2      9   11   9            2      9   11   7   3
       + 11*a33 *m1*m2 *n1  *n2 *n3 + 30*a33 *m1*m2 *n1  *n2 *n3

              2      9   9   11            2      9   9   9   3
       + 3*a33 *m1*m2 *n1 *n2  *n3 + 68*a33 *m1*m2 *n1 *n2 *n3

               2      9   9   7   5        2      9   7   13
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 7*a33 *m1*m2 *n1 *n2  *n3

               2      9   7   11   3          2      9   7   9   5
       + 34*a33 *m1*m2 *n1 *n2  *n3  + 120*a33 *m1*m2 *n1 *n2 *n3

               2      9   7   7   7        2      9   5   15
       + 32*a33 *m1*m2 *n1 *n2 *n3  - 4*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   13   3         2      9   5   11   5
       - 16*a33 *m1*m2 *n1 *n2  *n3  + 64*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   9   7         2      9   3   15   3
       + 56*a33 *m1*m2 *n1 *n2 *n3  - 12*a33 *m1*m2 *n1 *n2  *n3

              2      9   3   13   5         2      9   3   11   7
       - 8*a33 *m1*m2 *n1 *n2  *n3  + 16*a33 *m1*m2 *n1 *n2  *n3

              2      9      15   5        2      9      13   7
       - 8*a33 *m1*m2 *n1*n2  *n3  - 8*a33 *m1*m2 *n1*n2  *n3

            2   10   12   8           2   10   10   10
       + a33 *m2  *n1  *n2 *n3 + 3*a33 *m2  *n1  *n2  *n3

              2   10   10   8   3        2   10   8   12
       + 5*a33 *m2  *n1  *n2 *n3  + 3*a33 *m2  *n1 *n2  *n3

               2   10   8   10   3        2   10   8   8   5
       + 14*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2 *n3

            2   10   6   14            2   10   6   12   3
       + a33 *m2  *n1 *n2  *n3 + 13*a33 *m2  *n1 *n2  *n3

               2   10   6   10   5        2   10   6   8   7
       + 20*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2 *n3

              2   10   4   14   3         2   10   4   12   5
       + 4*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3

              2   10   4   10   7        2   10   2   14   5
       + 8*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3

              2   10   2   12   7      2        2   11   12   6   2
       + 4*a33 *m2  *n1 *n2  *n3 ) + u2 *v1*(a33 *m1  *n1  *n2 *n3

              2   11   12   4   4        2   11   12   2   6
       - 4*a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

              2   11   10   8   2         2   11   10   6   4
       + 4*a33 *m1  *n1  *n2 *n3  - 16*a33 *m1  *n1  *n2 *n3

               2   11   10   4   6        2   11   8   10   2
       + 16*a33 *m1  *n1  *n2 *n3  + 3*a33 *m1  *n1 *n2  *n3

               2   11   8   8   4         2   11   8   6   6
       - 12*a33 *m1  *n1 *n2 *n3  + 12*a33 *m1  *n1 *n2 *n3

            2   10      13   7        2   10      13   5   2
       + a33 *m1  *m2*n1  *n2  - 8*a33 *m1  *m2*n1  *n2 *n3

               2   10      13   3   4        2   10      13      6
       + 16*a33 *m1  *m2*n1  *n2 *n3  - 8*a33 *m1  *m2*n1  *n2*n3

              2   10      11   9         2   10      11   7   2
       + 5*a33 *m1  *m2*n1  *n2  - 32*a33 *m1  *m2*n1  *n2 *n3

               2   10      11   5   4        2   10      11   3   6
       + 48*a33 *m1  *m2*n1  *n2 *n3  - 8*a33 *m1  *m2*n1  *n2 *n3

              2   10      9   11         2   10      9   9   2
       + 7*a33 *m1  *m2*n1 *n2   - 18*a33 *m1  *m2*n1 *n2 *n3

               2   10      9   7   4         2   10      9   5   6
       - 40*a33 *m1  *m2*n1 *n2 *n3  + 96*a33 *m1  *m2*n1 *n2 *n3

              2   10      7   13        2   10      7   11   2
       + 3*a33 *m1  *m2*n1 *n2   + 6*a33 *m1  *m2*n1 *n2  *n3

               2   10      7   9   4         2   10      7   7   6
       - 72*a33 *m1  *m2*n1 *n2 *n3  + 96*a33 *m1  *m2*n1 *n2 *n3

              2   9   2   14   6         2   9   2   14   4   2
       - 4*a33 *m1 *m2 *n1  *n2  + 18*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   14   2   4        2   9   2   14   6
       - 20*a33 *m1 *m2 *n1  *n2 *n3  + 4*a33 *m1 *m2 *n1  *n3

               2   9   2   12   8         2   9   2   12   6   2
       - 17*a33 *m1 *m2 *n1  *n2  + 52*a33 *m1 *m2 *n1  *n2 *n3

              2   9   2   12   4   4         2   9   2   12   2   6
       - 8*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2 *n3

              2   9   2   10   10         2   9   2   10   8   2
       - 7*a33 *m1 *m2 *n1  *n2   - 87*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   10   6   4          2   9   2   10   4   6
       + 316*a33 *m1 *m2 *n1  *n2 *n3  - 180*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   8   12          2   9   2   8   10   2
       + 21*a33 *m1 *m2 *n1 *n2   - 148*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   8   8   4          2   9   2   8   6   6
       + 136*a33 *m1 *m2 *n1 *n2 *n3  + 192*a33 *m1 *m2 *n1 *n2 *n3

               2   9   2   6   14         2   9   2   6   12   2
       + 15*a33 *m1 *m2 *n1 *n2   - 27*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   6   10   4          2   9   2   6   8   6
       - 168*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

              2   8   3   15   5         2   8   3   15   3   2
       + 6*a33 *m1 *m2 *n1  *n2  - 16*a33 *m1 *m2 *n1  *n2 *n3

              2   8   3   15      4         2   8   3   13   7
       + 8*a33 *m1 *m2 *n1  *n2*n3  + 18*a33 *m1 *m2 *n1  *n2

              2   8   3   13   5   2         2   8   3   13   3   4
       - 4*a33 *m1 *m2 *n1  *n2 *n3  - 64*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   13      6         2   8   3   11   9
       + 24*a33 *m1 *m2 *n1  *n2*n3  - 42*a33 *m1 *m2 *n1  *n2

                2   8   3   11   7   2          2   8   3   11   5   4
       + 324*a33 *m1 *m2 *n1  *n2 *n3  - 408*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   11   3   6         2   8   3   9   11
       + 24*a33 *m1 *m2 *n1  *n2 *n3  - 84*a33 *m1 *m2 *n1 *n2

                2   8   3   9   9   2          2   8   3   9   7   4
       + 146*a33 *m1 *m2 *n1 *n2 *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   9   5   6          2   8   3   7   11   2
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 286*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   7   9   4         2   8   3   5   15
       + 728*a33 *m1 *m2 *n1 *n2 *n3  + 30*a33 *m1 *m2 *n1 *n2

                2   8   3   5   13   2          2   8   3   5   11   4
       - 120*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   5   9   6        2   7   4   16   4
       + 672*a33 *m1 *m2 *n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

              2   7   4   16   2   2        2   7   4   14   6
       + 5*a33 *m1 *m2 *n1  *n2 *n3  - 2*a33 *m1 *m2 *n1  *n2

               2   7   4   14   4   2         2   7   4   14   2   4
       - 40*a33 *m1 *m2 *n1  *n2 *n3  + 40*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   12   8          2   7   4   12   6   2
       + 98*a33 *m1 *m2 *n1  *n2  - 315*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   12   4   4         2   7   4   12   2   6
       + 88*a33 *m1 *m2 *n1  *n2 *n3  + 48*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   10   10          2   7   4   10   8   2
       + 56*a33 *m1 *m2 *n1  *n2   + 440*a33 *m1 *m2 *n1  *n2 *n3

                 2   7   4   10   6   4          2   7   4   10   4   6
       - 1296*a33 *m1 *m2 *n1  *n2 *n3  + 384*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   8   12          2   7   4   8   10   2
       - 140*a33 *m1 *m2 *n1 *n2   + 785*a33 *m1 *m2 *n1 *n2  *n3

               2   7   4   8   8   4           2   7   4   8   6   6
       - 56*a33 *m1 *m2 *n1 *n2 *n3  - 1176*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   6   14          2   7   4   6   12   2
       - 70*a33 *m1 *m2 *n1 *n2   - 120*a33 *m1 *m2 *n1 *n2  *n3

                 2   7   4   6   10   4          2   7   4   6   8   6
       + 1288*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   4   16          2   7   4   4   14   2
       + 30*a33 *m1 *m2 *n1 *n2   - 195*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   4   10   6      2   6   5   17   3
       + 840*a33 *m1 *m2 *n1 *n2  *n3  + a33 *m1 *m2 *n1  *n2

              2   6   5   15   5         2   6   5   15   3   2
       - 7*a33 *m1 *m2 *n1  *n2  + 20*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   13   7         2   6   5   13   5   2
       - 77*a33 *m1 *m2 *n1  *n2  + 78*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   13   3   4         2   6   5   11   9
       + 56*a33 *m1 *m2 *n1  *n2 *n3  + 91*a33 *m1 *m2 *n1  *n2

                2   6   5   11   7   2          2   6   5   11   5   4
       - 806*a33 *m1 *m2 *n1  *n2 *n3  + 728*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   9   11          2   6   5   9   9   2
       + 245*a33 *m1 *m2 *n1 *n2   - 244*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   5   9   7   4           2   6   5   9   5   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   7   13           2   6   5   7   11   2
       - 35*a33 *m1 *m2 *n1 *n2   + 1056*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   7   9   4           2   6   5   7   7   6
       - 1456*a33 *m1 *m2 *n1 *n2 *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

                2   6   5   5   15          2   6   5   5   13   2
       - 105*a33 *m1 *m2 *n1 *n2   + 274*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   5   11   4           2   6   5   5   9   6
       + 1064*a33 *m1 *m2 *n1 *n2  *n3  - 1344*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   3   17          2   6   5   3   15   2
       + 15*a33 *m1 *m2 *n1 *n2   - 162*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   3   13   4          2   6   5   3   11   6
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   16   4         2   5   6   14   6
       + 3*a33 *m1 *m2 *n1  *n2  + 21*a33 *m1 *m2 *n1  *n2

               2   5   6   14   4   2          2   5   6   12   8
       + 15*a33 *m1 *m2 *n1  *n2 *n3  - 147*a33 *m1 *m2 *n1  *n2

                2   5   6   12   6   2         2   5   6   12   4   4
       + 412*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   10   10          2   5   6   10   8   2
       - 105*a33 *m1 *m2 *n1  *n2   - 713*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   10   6   4          2   5   6   10   4   6
       + 1456*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   8   12           2   5   6   8   10   2
       + 231*a33 *m1 *m2 *n1 *n2   - 1128*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   8   8   4           2   5   6   8   6   6
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 1344*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   6   14          2   5   6   6   12   2
       + 105*a33 *m1 *m2 *n1 *n2   + 463*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   6   10   4          2   5   6   6   8   6
       - 2072*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   4   16          2   5   6   4   14   2
       - 63*a33 *m1 *m2 *n1 *n2   + 412*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   4   12   4           2   5   6   4   10   6
       + 280*a33 *m1 *m2 *n1 *n2  *n3  - 1344*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   2   18         2   5   6   2   16   2
       + 3*a33 *m1 *m2 *n1 *n2   - 69*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   2   14   4          2   5   6   2   12   6
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   13   7         2   4   7   13   5   2
       + 70*a33 *m1 *m2 *n1  *n2  - 50*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   11   9          2   4   7   11   7   2
       - 70*a33 *m1 *m2 *n1  *n2  + 610*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   11   5   4          2   4   7   9   11
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2

               2   4   7   9   9   2           2   4   7   9   7   4
       + 48*a33 *m1 *m2 *n1 *n2 *n3  + 1400*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   9   5   6         2   4   7   7   13
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 28*a33 *m1 *m2 *n1 *n2

                 2   4   7   7   11   2          2   4   7   7   9   4
       - 1028*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

                 2   4   7   7   7   6         2   4   7   5   15
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 98*a33 *m1 *m2 *n1 *n2

                2   4   7   5   13   2           2   4   7   5   11   4
       - 182*a33 *m1 *m2 *n1 *n2  *n3  - 1264*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   5   9   6         2   4   7   3   17
       + 480*a33 *m1 *m2 *n1 *n2 *n3  - 14*a33 *m1 *m2 *n1 *n2

                2   4   7   3   15   2          2   4   7   3   13   4
       + 222*a33 *m1 *m2 *n1 *n2  *n3  - 184*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   3   11   6         2   4   7      17   2
       - 768*a33 *m1 *m2 *n1 *n2  *n3  - 12*a33 *m1 *m2 *n1*n2  *n3

               2   4   7      15   4         2   4   7      13   6
       + 72*a33 *m1 *m2 *n1*n2  *n3  + 96*a33 *m1 *m2 *n1*n2  *n3

               2   3   8   14   6         2   3   8   12   8
       - 10*a33 *m1 *m2 *n1  *n2  + 70*a33 *m1 *m2 *n1  *n2

                2   3   8   12   6   2         2   3   8   10   10
       - 125*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2

                2   3   8   10   8   2          2   3   8   10   6   4
       + 384*a33 *m1 *m2 *n1  *n2 *n3  - 392*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   8   12          2   3   8   8   10   2
       - 112*a33 *m1 *m2 *n1 *n2   + 491*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   8   8   4          2   3   8   8   6   6
       + 616*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   6   14          2   3   8   6   12   2
       - 62*a33 *m1 *m2 *n1 *n2   - 296*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   6   10   4          2   3   8   6   8   6
       + 912*a33 *m1 *m2 *n1 *n2  *n3  + 384*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   4   16          2   3   8   4   14   2
       + 26*a33 *m1 *m2 *n1 *n2   - 234*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   4   12   4          2   3   8   4   10   6
       - 260*a33 *m1 *m2 *n1 *n2  *n3  + 468*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   2   16   2          2   3   8   2   14   4
       + 44*a33 *m1 *m2 *n1 *n2  *n3  - 152*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   2   12   6         2   3   8   16   4
       - 240*a33 *m1 *m2 *n1 *n2  *n3  + 12*a33 *m1 *m2 *n2  *n3

               2   3   8   14   6         2   2   9   13   7
       + 12*a33 *m1 *m2 *n2  *n3  - 15*a33 *m1 *m2 *n1  *n2

               2   2   9   11   9          2   2   9   11   7   2
       + 21*a33 *m1 *m2 *n1  *n2  - 120*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   9   11         2   2   9   9   9   2
       + 63*a33 *m1 *m2 *n1 *n2   + 50*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   9   7   4        2   2   9   7   13
       - 280*a33 *m1 *m2 *n1 *n2 *n3  + 3*a33 *m1 *m2 *n1 *n2

                2   2   9   7   11   2        2   2   9   7   9   4
       + 290*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   7   7   6         2   2   9   5   15
       - 192*a33 *m1 *m2 *n1 *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

               2   2   9   5   13   2          2   2   9   5   11   4
       + 60*a33 *m1 *m2 *n1 *n2  *n3  + 384*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   5   9   6         2   2   9   3   15   2
       + 24*a33 *m1 *m2 *n1 *n2 *n3  - 60*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   3   13   4          2   2   9   3   11   6
       + 64*a33 *m1 *m2 *n1 *n2  *n3  + 184*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9      15   4         2   2   9      13   6
       - 32*a33 *m1 *m2 *n1*n2  *n3  - 32*a33 *m1 *m2 *n1*n2  *n3

              2      10   12   8        2      10   10   10
       - 9*a33 *m1*m2  *n1  *n2  - 7*a33 *m1*m2  *n1  *n2

               2      10   10   8   2         2      10   8   12
       - 55*a33 *m1*m2  *n1  *n2 *n3  + 13*a33 *m1*m2  *n1 *n2

               2      10   8   10   2          2      10   8   8   4
       - 52*a33 *m1*m2  *n1 *n2  *n3  - 104*a33 *m1*m2  *n1 *n2 *n3

               2      10   6   14         2      10   6   12   2
       + 11*a33 *m1*m2  *n1 *n2   + 39*a33 *m1*m2  *n1 *n2  *n3

               2      10   6   10   4         2      10   6   8   6
       - 92*a33 *m1*m2  *n1 *n2  *n3  - 60*a33 *m1*m2  *n1 *n2 *n3

               2      10   4   14   2         2      10   4   12   4
       + 36*a33 *m1*m2  *n1 *n2  *n3  + 40*a33 *m1*m2  *n1 *n2  *n3

               2      10   4   10   6         2      10   2   14   4
       - 32*a33 *m1*m2  *n1 *n2  *n3  + 28*a33 *m1*m2  *n1 *n2  *n3

               2      10   2   12   6        2   11   11   9
       + 28*a33 *m1*m2  *n1 *n2  *n3  - 2*a33 *m2  *n1  *n2

              2   11   9   11         2   11   9   9   2        2   11   7   13
       - 4*a33 *m2  *n1 *n2   - 10*a33 *m2  *n1 *n2 *n3  - 2*a33 *m2  *n1 *n2

               2   11   7   11   2         2   11   7   9   4
       - 18*a33 *m2  *n1 *n2  *n3  - 16*a33 *m2  *n1 *n2 *n3

              2   11   5   13   2         2   11   5   11   4
       - 8*a33 *m2  *n1 *n2  *n3  - 24*a33 *m2  *n1 *n2  *n3

              2   11   5   9   6        2   11   3   13   4
       - 8*a33 *m2  *n1 *n2 *n3  - 8*a33 *m2  *n1 *n2  *n3

              2   11   3   11   6      2        10   14   6   2
       - 8*a33 *m2  *n1 *n2  *n3 ) + u2 *(a33*m1  *n1  *n2 *n3

                 10   14   4   4           10   14   2   6
       - 4*a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

               10   12   8   2           10   12   6   4
       + a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

                 10   12   4   6         10   10   10   2
       + 4*a33*m1  *n1  *n2 *n3  - a33*m1  *n1  *n2  *n3

                 10   10   8   4           10   10   6   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               10   8   12   2           10   8   10   4
       - a33*m1  *n1 *n2  *n3  + 4*a33*m1  *n1 *n2  *n3

                 10   8   8   6         9      15   7
       - 4*a33*m1  *n1 *n2 *n3  + a33*m1 *m2*n1  *n2

                 9      15   5   2            9      15   3   4
       - 8*a33*m1 *m2*n1  *n2 *n3  + 16*a33*m1 *m2*n1  *n2 *n3

                 9      15      6           9      13   9
       - 8*a33*m1 *m2*n1  *n2*n3  + 2*a33*m1 *m2*n1  *n2

                 9      13   7   2           9      13   5   4
       - 6*a33*m1 *m2*n1  *n2 *n3  - 8*a33*m1 *m2*n1  *n2 *n3

                  9      13   3   6            9      11   9   2
       + 24*a33*m1 *m2*n1  *n2 *n3  + 10*a33*m1 *m2*n1  *n2 *n3

                  9      11   7   4            9      11   5   6
       - 40*a33*m1 *m2*n1  *n2 *n3  + 40*a33*m1 *m2*n1  *n2 *n3

                 9      9   13           9      9   11   2
       - 2*a33*m1 *m2*n1 *n2   + 6*a33*m1 *m2*n1 *n2  *n3

                 9      9   9   4            9      9   7   6
       + 8*a33*m1 *m2*n1 *n2 *n3  - 24*a33*m1 *m2*n1 *n2 *n3

               9      7   15           9      7   13   2
       - a33*m1 *m2*n1 *n2   - 2*a33*m1 *m2*n1 *n2  *n3

                  9      7   11   4            9      7   9   6
       + 24*a33*m1 *m2*n1 *n2  *n3  - 32*a33*m1 *m2*n1 *n2 *n3

                 8   2   16   6            8   2   16   4   2
       - 4*a33*m1 *m2 *n1  *n2  + 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   16   2   4           8   2   16   6
       - 20*a33*m1 *m2 *n1  *n2 *n3  + 4*a33*m1 *m2 *n1  *n3

                 8   2   14   8            8   2   14   6   2
       - 3*a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2 *n3

                  8   2   14   4   4            8   2   14   2   6
       + 84*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   10            8   2   12   8   2
       + 10*a33*m1 *m2 *n1  *n2   - 63*a33*m1 *m2 *n1  *n2 *n3

                  8   2   12   6   4            8   2   12   4   6
       + 68*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1  *n2 *n3

                 8   2   10   12           8   2   10   10   2
       + 8*a33*m1 *m2 *n1  *n2   + 9*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   8   4             8   2   10   6   6
       - 140*a33*m1 *m2 *n1  *n2 *n3  + 172*a33*m1 *m2 *n1  *n2 *n3

                 8   2   8   14            8   2   8   12   2
       - 6*a33*m1 *m2 *n1 *n2   + 45*a33*m1 *m2 *n1 *n2  *n3

                  8   2   8   10   4            8   2   8   8   6
       - 48*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2 *n3

                 8   2   6   16           8   2   6   14   2
       - 5*a33*m1 *m2 *n1 *n2   + 9*a33*m1 *m2 *n1 *n2  *n3

                  8   2   6   12   4             8   2   6   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                 7   3   17   5            7   3   17   3   2
       + 6*a33*m1 *m2 *n1  *n2  - 16*a33*m1 *m2 *n1  *n2 *n3

                 7   3   17      4           7   3   15   7
       + 8*a33*m1 *m2 *n1  *n2*n3  - 8*a33*m1 *m2 *n1  *n2

                  7   3   15   5   2             7   3   15   3   4
       + 80*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15      6            7   3   13   9
       + 32*a33*m1 *m2 *n1  *n2*n3  - 30*a33*m1 *m2 *n1  *n2

                  7   3   13   7   2             7   3   13   5   4
       + 64*a33*m1 *m2 *n1  *n2 *n3  + 136*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   3   6           7   3   11   11
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2

                   7   3   11   9   2             7   3   11   7   4
       - 168*a33*m1 *m2 *n1  *n2 *n3  + 352*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   5   6            7   3   9   13
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 34*a33*m1 *m2 *n1 *n2

                  7   3   9   11   2             7   3   9   9   4
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 200*a33*m1 *m2 *n1 *n2 *n3

                   7   3   9   7   6            7   3   7   13   2
       + 416*a33*m1 *m2 *n1 *n2 *n3  + 88*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   11   4            7   3   5   17
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  7   3   5   15   2            7   3   5   13   4
       + 40*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   11   6           6   4   18   4
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1  *n2

                 6   4   18   2   2            6   4   16   6
       + 5*a33*m1 *m2 *n1  *n2 *n3  + 22*a33*m1 *m2 *n1  *n2

                  6   4   16   4   2            6   4   16   2   4
       - 87*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   8             6   4   14   6   2
       + 20*a33*m1 *m2 *n1  *n2  + 101*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   4   4             6   4   14   2   6
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   10             6   4   12   8   2
       - 62*a33*m1 *m2 *n1  *n2   + 305*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   6   4             6   4   12   4   6
       - 56*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  6   4   10   12             6   4   10   10   2
       - 36*a33*m1 *m2 *n1  *n2   - 151*a33*m1 *m2 *n1  *n2  *n3

                   6   4   10   8   4             6   4   10   6   6
       + 728*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                  6   4   8   14             6   4   8   12   2
       + 50*a33*m1 *m2 *n1 *n2   - 283*a33*m1 *m2 *n1 *n2  *n3

                   6   4   8   8   6            6   4   6   16
       + 616*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                  6   4   6   14   2             6   4   6   12   4
       + 45*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   10   6            6   4   4   18
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                  6   4   4   16   2             6   4   4   12   6
       + 65*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2  *n3

               5   5   19   3            5   5   17   5
       + a33*m1 *m2 *n1  *n2  - 18*a33*m1 *m2 *n1  *n2

                  5   5   17   3   2            5   5   15   7
       + 30*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                   5   5   15   5   2             5   5   15   3   4
       - 186*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  5   5   13   9            5   5   13   7   2
       + 78*a33*m1 *m2 *n1  *n2  - 66*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   5   4             5   5   13   3   6
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                  5   5   11   11             5   5   11   9   2
       - 36*a33*m1 *m2 *n1  *n2   + 486*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   7   4             5   5   11   5   6
       - 504*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  5   5   9   13             5   5   9   11   2
       - 90*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   5   5   9   9   4             5   5   9   7   6
       + 784*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   15             5   5   7   13   2
       + 20*a33*m1 *m2 *n1 *n2   - 354*a33*m1 *m2 *n1 *n2  *n3

                   5   5   7   11   4             5   5   7   9   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                  5   5   5   17            5   5   5   15   2
       + 30*a33*m1 *m2 *n1 *n2   - 66*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   13   4             5   5   5   11   6
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                 5   5   3   19            5   5   3   17   2
       - 5*a33*m1 *m2 *n1 *n2   + 54*a33*m1 *m2 *n1 *n2  *n3

                  5   5   3   15   4             5   5   3   13   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                 4   6   18   4            4   6   16   6
       + 5*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2

                  4   6   16   4   2            4   6   14   8
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 20*a33*m1 *m2 *n1  *n2

                   4   6   14   6   2             4   6   14   4   4
       - 185*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   12   10             4   6   12   8   2
       + 90*a33*m1 *m2 *n1  *n2   - 305*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   6   4             4   6   12   4   6
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  4   6   10   12             4   6   10   10   2
       + 36*a33*m1 *m2 *n1  *n2   + 347*a33*m1 *m2 *n1  *n2  *n3

                   4   6   10   8   4             4   6   10   6   6
       - 784*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  4   6   8   14             4   6   8   12   2
       - 78*a33*m1 *m2 *n1 *n2   + 339*a33*m1 *m2 *n1 *n2  *n3

                   4   6   8   10   4             4   6   8   8   6
       + 392*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  4   6   6   16             4   6   6   14   2
       - 20*a33*m1 *m2 *n1 *n2   - 185*a33*m1 *m2 *n1 *n2  *n3

                   4   6   6   12   4             4   6   6   10   6
       + 560*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

                  4   6   4   18             4   6   4   16   2
       + 18*a33*m1 *m2 *n1 *n2   - 109*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   14   4             4   6   4   12   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

               4   6   2   20            4   6   2   18   2
       - a33*m1 *m2 *n1 *n2   + 23*a33*m1 *m2 *n1 *n2  *n3

                  4   6   2   16   4             4   6   2   14   6
       - 56*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                  3   7   17   5            3   7   15   7
       + 10*a33*m1 *m2 *n1  *n2  - 20*a33*m1 *m2 *n1  *n2

                   3   7   15   5   2            3   7   13   9
       + 100*a33*m1 *m2 *n1  *n2 *n3  - 50*a33*m1 *m2 *n1  *n2

                  3   7   13   7   2             3   7   13   5   4
       - 60*a33*m1 *m2 *n1  *n2 *n3  + 280*a33*m1 *m2 *n1  *n2 *n3

                  3   7   11   11             3   7   11   9   2
       + 36*a33*m1 *m2 *n1  *n2   - 332*a33*m1 *m2 *n1  *n2 *n3

                   3   7   11   5   6            3   7   9   13
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 62*a33*m1 *m2 *n1 *n2

                  3   7   9   11   2             3   7   9   9   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 616*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   15             3   7   7   13   2
       - 20*a33*m1 *m2 *n1 *n2   + 292*a33*m1 *m2 *n1 *n2  *n3

                  3   7   7   11   4             3   7   7   9   6
       - 32*a33*m1 *m2 *n1 *n2  *n3  - 416*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   17           3   7   5   15   2
       - 22*a33*m1 *m2 *n1 *n2   + 4*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   13   4            3   7   5   11   6
       + 360*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   19            3   7   3   17   2
       + 4*a33*m1 *m2 *n1 *n2   - 60*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   15   4             3   7   3   13   6
       + 32*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   7      19   2            3   7      17   4
       + 4*a33*m1 *m2 *n1*n2  *n3  - 24*a33*m1 *m2 *n1*n2  *n3

                  3   7      15   6            2   8   16   6
       - 32*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                  2   8   14   6   2            2   8   12   10
       + 75*a33*m1 *m2 *n1  *n2 *n3  - 34*a33*m1 *m2 *n1  *n2

                  2   8   12   8   2             2   8   12   6   4
       + 39*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                 2   8   10   12             2   8   10   10   2
       - 8*a33*m1 *m2 *n1  *n2   - 165*a33*m1 *m2 *n1  *n2  *n3

                   2   8   10   8   4             2   8   10   6   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  2   8   8   14            2   8   8   12   2
       + 30*a33*m1 *m2 *n1 *n2   - 81*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   10   4            2   8   8   8   6
       - 264*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2 *n3

                 2   8   6   16             2   8   6   14   2
       + 8*a33*m1 *m2 *n1 *n2   + 102*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   12   4             2   8   6   10   6
       - 148*a33*m1 *m2 *n1 *n2  *n3  - 172*a33*m1 *m2 *n1 *n2  *n3

                 2   8   4   18            2   8   4   16   2
       - 6*a33*m1 *m2 *n1 *n2   + 42*a33*m1 *m2 *n1 *n2  *n3

                   2   8   4   14   4            2   8   4   12   6
       + 100*a33*m1 *m2 *n1 *n2  *n3  - 44*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   18   2            2   8   2   16   4
       - 12*a33*m1 *m2 *n1 *n2  *n3  + 36*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   14   6           2   8   18   4
       + 60*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n2  *n3

                 2   8   16   6              9   15   7              9   13   9
       - 4*a33*m1 *m2 *n2  *n3  + 5*a33*m1*m2 *n1  *n2  + 6*a33*m1*m2 *n1  *n2

                     9   13   7   2              9   11   11
       + 30*a33*m1*m2 *n1  *n2 *n3  - 8*a33*m1*m2 *n1  *n2

                     9   11   9   2               9   11   7   4
       + 38*a33*m1*m2 *n1  *n2 *n3  + 56*a33*m1*m2 *n1  *n2 *n3

                     9   9   13               9   9   11   2
       - 10*a33*m1*m2 *n1 *n2   - 34*a33*m1*m2 *n1 *n2  *n3

                     9   9   9   4               9   9   7   6
       + 64*a33*m1*m2 *n1 *n2 *n3  + 32*a33*m1*m2 *n1 *n2 *n3

                    9   7   15               9   7   13   2
       + 3*a33*m1*m2 *n1 *n2   - 50*a33*m1*m2 *n1 *n2  *n3

                     9   7   11   4               9   7   9   6
       - 56*a33*m1*m2 *n1 *n2  *n3  + 24*a33*m1*m2 *n1 *n2 *n3

                    9   5   17              9   5   15   2
       + 4*a33*m1*m2 *n1 *n2   + 4*a33*m1*m2 *n1 *n2  *n3

                     9   5   13   4               9   5   11   6
       - 72*a33*m1*m2 *n1 *n2  *n3  - 40*a33*m1*m2 *n1 *n2  *n3

                     9   3   17   2               9   3   13   6
       + 12*a33*m1*m2 *n1 *n2  *n3  - 24*a33*m1*m2 *n1 *n2  *n3

                    9      17   4              9      15   6         10   14   8
       + 8*a33*m1*m2 *n1*n2  *n3  + 8*a33*m1*m2 *n1*n2  *n3  + a33*m2  *n1  *n2

                 10   12   10           10   12   8   2
       + 2*a33*m2  *n1  *n2   + 5*a33*m2  *n1  *n2 *n3

                 10   10   10   2           10   10   8   4
       + 9*a33*m2  *n1  *n2  *n3  + 8*a33*m2  *n1  *n2 *n3

                 10   8   14         10   8   12   2            10   8   10   4
       - 2*a33*m2  *n1 *n2   - a33*m2  *n1 *n2  *n3  + 12*a33*m2  *n1 *n2  *n3

                 10   8   8   6         10   6   16           10   6   14   2
       + 4*a33*m2  *n1 *n2 *n3  - a33*m2  *n1 *n2   - 9*a33*m2  *n1 *n2  *n3

                 10   6   12   4           10   6   10   6
       - 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3

                 10   4   16   2            10   4   14   4
       - 4*a33*m2  *n1 *n2  *n3  - 12*a33*m2  *n1 *n2  *n3

                 10   4   12   6           10   2   16   4
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2  *n3

                 10   2   14   6         2          3   11   10   7   2
       - 4*a33*m2  *n1 *n2  *n3 ) + u2*u3 *v1*(2*a33 *m1  *n1  *n2 *n3

              3   11   10   5   4        3   11   10   3   6
       - 8*a33 *m1  *n1  *n2 *n3  + 8*a33 *m1  *n1  *n2 *n3

              3   11   8   9   2        3   11   8   7   4
       + 2*a33 *m1  *n1 *n2 *n3  - 8*a33 *m1  *n1 *n2 *n3

              3   11   8   5   6        3   10      11   8
       + 8*a33 *m1  *n1 *n2 *n3  + 2*a33 *m1  *m2*n1  *n2

               3   10      11   6   2         3   10      11   4   4
       - 18*a33 *m1  *m2*n1  *n2 *n3  + 40*a33 *m1  *m2*n1  *n2 *n3

               3   10      11   2   6        3   10      9   10
       - 24*a33 *m1  *m2*n1  *n2 *n3  + 4*a33 *m1  *m2*n1 *n2

               3   10      9   8   2        3   10      9   6   4
       - 14*a33 *m1  *m2*n1 *n2 *n3  - 8*a33 *m1  *m2*n1 *n2 *n3

               3   10      9   4   6        3   10      7   12
       + 40*a33 *m1  *m2*n1 *n2 *n3  + 2*a33 *m1  *m2*n1 *n2

              3   10      7   10   2         3   10      7   8   4
       + 4*a33 *m1  *m2*n1 *n2  *n3  - 48*a33 *m1  *m2*n1 *n2 *n3

               3   10      7   6   6         3   9   2   12   7
       + 64*a33 *m1  *m2*n1 *n2 *n3  - 10*a33 *m1 *m2 *n1  *n2

               3   9   2   12   5   2         3   9   2   12   3   4
       + 52*a33 *m1 *m2 *n1  *n2 *n3  - 72*a33 *m1 *m2 *n1  *n2 *n3

               3   9   2   12      6         3   9   2   10   9
       + 24*a33 *m1 *m2 *n1  *n2*n3  - 10*a33 *m1 *m2 *n1  *n2

               3   9   2   10   7   2          3   9   2   10   5   4
       - 24*a33 *m1 *m2 *n1  *n2 *n3  + 184*a33 *m1 *m2 *n1  *n2 *n3

                3   9   2   10   3   6         3   9   2   8   11
       - 168*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               3   9   2   8   9   2          3   9   2   8   7   4
       - 94*a33 *m1 *m2 *n1 *n2 *n3  + 144*a33 *m1 *m2 *n1 *n2 *n3

               3   9   2   8   5   6         3   9   2   6   13
       + 32*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

               3   9   2   6   11   2          3   9   2   6   9   4
       - 18*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

                3   9   2   6   7   6         3   8   3   13   6
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2

               3   8   3   13   4   2         3   8   3   13   2   4
       - 68*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

              3   8   3   13   6         3   8   3   11   8
       - 8*a33 *m1 *m2 *n1  *n3  - 10*a33 *m1 *m2 *n1  *n2

                3   8   3   11   6   2          3   8   3   11   4   4
       + 196*a33 *m1 *m2 *n1  *n2 *n3  - 424*a33 *m1 *m2 *n1  *n2 *n3

                3   8   3   11   2   6         3   8   3   9   10
       + 184*a33 *m1 *m2 *n1  *n2 *n3  - 60*a33 *m1 *m2 *n1 *n2

                3   8   3   9   8   2          3   8   3   9   6   4
       + 186*a33 *m1 *m2 *n1 *n2 *n3  + 192*a33 *m1 *m2 *n1 *n2 *n3

                3   8   3   9   4   6         3   8   3   7   12
       - 480*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                3   8   3   7   10   2          3   8   3   7   8   4
       - 158*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

                3   8   3   7   6   6         3   8   3   5   14
       - 224*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

               3   8   3   5   12   2          3   8   3   5   10   4
       - 80*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                3   8   3   5   8   6         3   7   4   14   5
       + 448*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2

               3   7   4   14   3   2         3   7   4   14      4
       + 42*a33 *m1 *m2 *n1  *n2 *n3  - 16*a33 *m1 *m2 *n1  *n2*n3

               3   7   4   12   7          3   7   4   12   5   2
       + 60*a33 *m1 *m2 *n1  *n2  - 334*a33 *m1 *m2 *n1  *n2 *n3

                3   7   4   12   3   4         3   7   4   12      6
       + 368*a33 *m1 *m2 *n1  *n2 *n3  - 64*a33 *m1 *m2 *n1  *n2*n3

               3   7   4   10   9          3   7   4   10   7   2
       + 80*a33 *m1 *m2 *n1  *n2  + 116*a33 *m1 *m2 *n1  *n2 *n3

                3   7   4   10   5   4          3   7   4   10   3   6
       - 960*a33 *m1 *m2 *n1  *n2 *n3  + 608*a33 *m1 *m2 *n1  *n2 *n3

               3   7   4   8   11          3   7   4   8   9   2
       - 80*a33 *m1 *m2 *n1 *n2   + 612*a33 *m1 *m2 *n1 *n2 *n3

                3   7   4   8   7   4          3   7   4   8   5   6
       - 448*a33 *m1 *m2 *n1 *n2 *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               3   7   4   6   13         3   7   4   6   11   2
       - 60*a33 *m1 *m2 *n1 *n2   - 10*a33 *m1 *m2 *n1 *n2  *n3

                3   7   4   6   9   4          3   7   4   6   7   6
       + 896*a33 *m1 *m2 *n1 *n2 *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

               3   7   4   4   15          3   7   4   4   13   2
       + 20*a33 *m1 *m2 *n1 *n2   - 130*a33 *m1 *m2 *n1 *n2  *n3

                3   7   4   4   9   6         3   6   5   15   4
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2

               3   6   5   15   2   2         3   6   5   13   6
       - 10*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1  *n2

                3   6   5   13   4   2          3   6   5   13   2   4
       + 234*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

               3   6   5   11   8          3   6   5   11   6   2
       + 10*a33 *m1 *m2 *n1  *n2  - 584*a33 *m1 *m2 *n1  *n2 *n3

                 3   6   5   11   4   4          3   6   5   11   2   6
       + 1008*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

                3   6   5   9   10          3   6   5   9   8   2
       + 200*a33 *m1 *m2 *n1 *n2   - 508*a33 *m1 *m2 *n1 *n2 *n3

                3   6   5   9   6   4           3   6   5   9   4   6
       - 896*a33 *m1 *m2 *n1 *n2 *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

               3   6   5   7   12          3   6   5   7   10   2
       + 10*a33 *m1 *m2 *n1 *n2   + 690*a33 *m1 *m2 *n1 *n2  *n3

                 3   6   5   7   8   4          3   6   5   7   6   6
       - 1456*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               3   6   5   5   14          3   6   5   5   12   2
       - 80*a33 *m1 *m2 *n1 *n2   + 262*a33 *m1 *m2 *n1 *n2  *n3

                3   6   5   5   10   4           3   6   5   5   8   6
       + 672*a33 *m1 *m2 *n1 *n2  *n3  - 1232*a33 *m1 *m2 *n1 *n2 *n3

               3   6   5   3   16          3   6   5   3   14   2
       + 10*a33 *m1 *m2 *n1 *n2   - 108*a33 *m1 *m2 *n1 *n2  *n3

                3   6   5   3   12   4          3   6   5   3   10   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2  *n3

              3   5   6   16   3         3   5   6   14   5
       - 2*a33 *m1 *m2 *n1  *n2  + 46*a33 *m1 *m2 *n1  *n2

               3   5   6   14   3   2          3   5   6   12   7
       - 60*a33 *m1 *m2 *n1  *n2 *n3  - 102*a33 *m1 *m2 *n1  *n2

                3   5   6   12   5   2          3   5   6   12   3   4
       + 522*a33 *m1 *m2 *n1  *n2 *n3  - 336*a33 *m1 *m2 *n1  *n2 *n3

                3   5   6   10   9          3   5   6   10   7   2
       - 150*a33 *m1 *m2 *n1  *n2  - 298*a33 *m1 *m2 *n1  *n2 *n3

                 3   5   6   10   5   4          3   5   6   10   3   6
       + 1456*a33 *m1 *m2 *n1  *n2 *n3  - 448*a33 *m1 *m2 *n1  *n2 *n3

                3   5   6   8   11           3   5   6   8   9   2
       + 150*a33 *m1 *m2 *n1 *n2   - 1060*a33 *m1 *m2 *n1 *n2 *n3

                3   5   6   8   7   4           3   5   6   8   5   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

                3   5   6   6   13          3   5   6   6   11   2
       + 102*a33 *m1 *m2 *n1 *n2   + 192*a33 *m1 *m2 *n1 *n2  *n3

                 3   5   6   6   9   4          3   5   6   6   7   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               3   5   6   4   15          3   5   6   4   13   2
       - 46*a33 *m1 *m2 *n1 *n2   + 326*a33 *m1 *m2 *n1 *n2  *n3

                3   5   6   4   11   4           3   5   6   4   9   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

              3   5   6   2   17         3   5   6   2   15   2
       + 2*a33 *m1 *m2 *n1 *n2   - 46*a33 *m1 *m2 *n1 *n2  *n3

                3   5   6   2   13   4          3   5   6   2   11   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

               3   4   7   15   4         3   4   7   13   6
       - 10*a33 *m1 *m2 *n1  *n2  + 80*a33 *m1 *m2 *n1  *n2

                3   4   7   13   4   2         3   4   7   11   8
       - 150*a33 *m1 *m2 *n1  *n2 *n3  - 10*a33 *m1 *m2 *n1  *n2

                3   4   7   11   6   2          3   4   7   11   4   4
       + 570*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

                3   4   7   9   10          3   4   7   9   8   2
       - 200*a33 *m1 *m2 *n1 *n2   + 340*a33 *m1 *m2 *n1 *n2 *n3

                 3   4   7   9   6   4          3   4   7   9   4   6
       + 1120*a33 *m1 *m2 *n1 *n2 *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

               3   4   7   7   12          3   4   7   7   10   2
       - 10*a33 *m1 *m2 *n1 *n2   - 788*a33 *m1 *m2 *n1 *n2  *n3

                 3   4   7   7   8   4          3   4   7   7   6   6
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

               3   4   7   5   14          3   4   7   5   12   2
       + 80*a33 *m1 *m2 *n1 *n2   - 234*a33 *m1 *m2 *n1 *n2  *n3

                3   4   7   5   10   4          3   4   7   5   8   6
       - 896*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               3   4   7   3   16          3   4   7   3   14   2
       - 10*a33 *m1 *m2 *n1 *n2   + 166*a33 *m1 *m2 *n1 *n2  *n3

                3   4   7   3   12   4          3   4   7   3   10   6
       - 176*a33 *m1 *m2 *n1 *n2  *n3  - 608*a33 *m1 *m2 *n1 *n2  *n3

              3   4   7      16   2         3   4   7      14   4
       - 8*a33 *m1 *m2 *n1*n2  *n3  + 48*a33 *m1 *m2 *n1*n2  *n3

               3   4   7      12   6         3   3   8   14   5
       + 64*a33 *m1 *m2 *n1*n2  *n3  - 20*a33 *m1 *m2 *n1  *n2

               3   3   8   12   7          3   3   8   12   5   2
       + 60*a33 *m1 *m2 *n1  *n2  - 200*a33 *m1 *m2 *n1  *n2 *n3

               3   3   8   10   9          3   3   8   10   7   2
       + 80*a33 *m1 *m2 *n1  *n2  + 270*a33 *m1 *m2 *n1  *n2 *n3

                3   3   8   10   5   4         3   3   8   8   11
       - 560*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2

                3   3   8   8   9   2          3   3   8   8   7   4
       + 542*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

                3   3   8   8   5   6         3   3   8   6   13
       - 448*a33 *m1 *m2 *n1 *n2 *n3  - 60*a33 *m1 *m2 *n1 *n2

                3   3   8   6   11   2          3   3   8   6   9   4
       - 164*a33 *m1 *m2 *n1 *n2  *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

                3   3   8   6   7   6         3   3   8   4   15
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

                3   3   8   4   13   2          3   3   8   4   11   4
       - 204*a33 *m1 *m2 *n1 *n2  *n3  - 128*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   4   9   6         3   3   8   2   15   2
       + 480*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   2   13   4          3   3   8   2   11   6
       - 120*a33 *m1 *m2 *n1 *n2  *n3  - 184*a33 *m1 *m2 *n1 *n2  *n3

              3   3   8   15   4        3   3   8   13   6
       + 8*a33 *m1 *m2 *n2  *n3  + 8*a33 *m1 *m2 *n2  *n3

               3   2   9   13   6         3   2   9   11   8
       - 20*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2

                3   2   9   11   6   2         3   2   9   9   10
       - 150*a33 *m1 *m2 *n1  *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2

               3   2   9   9   8   2          3   2   9   9   6   4
       - 18*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               3   2   9   7   12          3   2   9   7   10   2
       + 10*a33 *m1 *m2 *n1 *n2   + 256*a33 *m1 *m2 *n1 *n2  *n3

                3   2   9   7   8   4          3   2   9   7   6   6
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               3   2   9   5   14         3   2   9   5   12   2
       - 20*a33 *m1 *m2 *n1 *n2   + 76*a33 *m1 *m2 *n1 *n2  *n3

                3   2   9   5   10   4         3   2   9   5   8   6
       + 320*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

               3   2   9   3   14   2         3   2   9   3   12   4
       - 48*a33 *m1 *m2 *n1 *n2  *n3  + 72*a33 *m1 *m2 *n1 *n2  *n3

                3   2   9   3   10   6         3   2   9      14   4
       + 168*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1*n2  *n3

               3   2   9      12   6         3      10   12   7
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 10*a33 *m1*m2  *n1  *n2

               3      10   10   9         3      10   10   7   2
       - 10*a33 *m1*m2  *n1  *n2  - 60*a33 *m1*m2  *n1  *n2 *n3

               3      10   8   11         3      10   8   9   2
       + 10*a33 *m1*m2  *n1 *n2   - 66*a33 *m1*m2  *n1 *n2 *n3

                3      10   8   7   4         3      10   6   13
       - 112*a33 *m1*m2  *n1 *n2 *n3  + 10*a33 *m1*m2  *n1 *n2

               3      10   6   11   2          3      10   6   9   4
       + 26*a33 *m1*m2  *n1 *n2  *n3  - 112*a33 *m1*m2  *n1 *n2 *n3

               3      10   6   7   6         3      10   4   13   2
       - 64*a33 *m1*m2  *n1 *n2 *n3  + 32*a33 *m1*m2  *n1 *n2  *n3

               3      10   4   11   4         3      10   4   9   6
       + 24*a33 *m1*m2  *n1 *n2  *n3  - 40*a33 *m1*m2  *n1 *n2 *n3

               3      10   2   13   4         3      10   2   11   6
       + 24*a33 *m1*m2  *n1 *n2  *n3  + 24*a33 *m1*m2  *n1 *n2  *n3

              3   11   11   8        3   11   9   10         3   11   9   8   2
       - 2*a33 *m2  *n1  *n2  - 4*a33 *m2  *n1 *n2   - 10*a33 *m2  *n1 *n2 *n3

              3   11   7   12         3   11   7   10   2
       - 2*a33 *m2  *n1 *n2   - 18*a33 *m2  *n1 *n2  *n3

               3   11   7   8   4        3   11   5   12   2
       - 16*a33 *m2  *n1 *n2 *n3  - 8*a33 *m2  *n1 *n2  *n3

               3   11   5   10   4        3   11   5   8   6
       - 24*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3

              3   11   3   12   4        3   11   3   10   6         2
       - 8*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2  *n3 ) + u2*u3 *(

            2   10   12   7   2        2   10   12   5   4
       - a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

              2   10   12   3   6        2   10   10   9   2
       - 4*a33 *m1  *n1  *n2 *n3  - 2*a33 *m1  *n1  *n2 *n3

              2   10   10   7   4        2   10   10   5   6
       + 8*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

            2   10   8   11   2        2   10   8   9   4
       - a33 *m1  *n1 *n2  *n3  + 4*a33 *m1  *n1 *n2 *n3

              2   10   8   7   6      2   9      13   8
       - 4*a33 *m1  *n1 *n2 *n3  - a33 *m1 *m2*n1  *n2

              2   9      13   6   2         2   9      13   4   4
       + 8*a33 *m1 *m2*n1  *n2 *n3  - 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      13   2   6        2   9      11   10
       + 8*a33 *m1 *m2*n1  *n2 *n3  - 3*a33 *m1 *m2*n1  *n2

               2   9      11   8   2        2   9      11   6   4
       + 14*a33 *m1 *m2*n1  *n2 *n3  - 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   4   6        2   9      9   12
       - 16*a33 *m1 *m2*n1  *n2 *n3  - 3*a33 *m1 *m2*n1 *n2

              2   9      9   10   2         2   9      9   8   4
       + 4*a33 *m1 *m2*n1 *n2  *n3  + 32*a33 *m1 *m2*n1 *n2 *n3

               2   9      9   6   6      2   9      7   14
       - 56*a33 *m1 *m2*n1 *n2 *n3  - a33 *m1 *m2*n1 *n2

              2   9      7   12   2         2   9      7   10   4
       - 2*a33 *m1 *m2*n1 *n2  *n3  + 24*a33 *m1 *m2*n1 *n2  *n3

               2   9      7   8   6        2   8   2   14   7
       - 32*a33 *m1 *m2*n1 *n2 *n3  + 4*a33 *m1 *m2 *n1  *n2

               2   8   2   14   5   2         2   8   2   14   3   4
       - 18*a33 *m1 *m2 *n1  *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   14      6        2   8   2   12   9
       - 4*a33 *m1 *m2 *n1  *n2*n3  + 7*a33 *m1 *m2 *n1  *n2

               2   8   2   12   5   4         2   8   2   12   3   6
       - 64*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   10   11         2   8   2   10   9   2
       - 3*a33 *m1 *m2 *n1  *n2   + 63*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   10   7   4         2   8   2   10   5   6
       - 132*a33 *m1 *m2 *n1  *n2 *n3  + 12*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   8   13         2   8   2   8   11   2
       - 11*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

              2   8   2   8   9   4          2   8   2   8   7   6
       + 8*a33 *m1 *m2 *n1 *n2 *n3  - 160*a33 *m1 *m2 *n1 *n2 *n3

              2   8   2   6   15        2   8   2   6   13   2
       - 5*a33 *m1 *m2 *n1 *n2   + 9*a33 *m1 *m2 *n1 *n2  *n3

               2   8   2   6   11   4          2   8   2   6   9   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   3   15   6         2   7   3   15   4   2
       - 6*a33 *m1 *m2 *n1  *n2  + 16*a33 *m1 *m2 *n1  *n2 *n3

              2   7   3   15   2   4        2   7   3   13   8
       - 8*a33 *m1 *m2 *n1  *n2 *n3  + 2*a33 *m1 *m2 *n1  *n2

               2   7   3   13   6   2          2   7   3   13   4   4
       - 64*a33 *m1 *m2 *n1  *n2 *n3  + 120*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13   2   6         2   7   3   11   10
       - 32*a33 *m1 *m2 *n1  *n2 *n3  + 32*a33 *m1 *m2 *n1  *n2

                2   7   3   11   8   2         2   7   3   11   6   4
       - 128*a33 *m1 *m2 *n1  *n2 *n3  - 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   4   6         2   7   3   9   12
       + 160*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2

               2   7   3   9   10   2          2   7   3   9   8   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3  - 368*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   9   6   6         2   7   3   7   14
       + 192*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                2   7   3   7   12   2          2   7   3   7   10   4
       + 128*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   7   8   6         2   7   3   5   16
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   7   3   5   14   2         2   7   3   5   12   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   5   10   6        2   6   4   16   5
       - 224*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n1  *n2

              2   6   4   16   3   2         2   6   4   14   7
       - 5*a33 *m1 *m2 *n1  *n2 *n3  - 18*a33 *m1 *m2 *n1  *n2

               2   6   4   14   5   2         2   6   4   14   3   4
       + 82*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   12   9         2   6   4   12   7   2
       - 38*a33 *m1 *m2 *n1  *n2  - 19*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   12   5   4          2   6   4   12   3   6
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   10   11          2   6   4   10   9   2
       + 24*a33 *m1 *m2 *n1  *n2   - 324*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   10   7   4          2   6   4   10   5   6
       + 336*a33 *m1 *m2 *n1  *n2 *n3  + 224*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   8   13          2   6   4   8   11   2
       + 60*a33 *m1 *m2 *n1 *n2   - 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   8   9   4          2   6   4   8   7   6
       - 392*a33 *m1 *m2 *n1 *n2 *n3  + 504*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   6   15          2   6   4   6   13   2
       + 10*a33 *m1 *m2 *n1 *n2   + 110*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   6   11   4          2   6   4   6   9   6
       - 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   4   17         2   6   4   4   15   2
       - 10*a33 *m1 *m2 *n1 *n2   + 65*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   4   11   6      2   5   5   17   4
       - 280*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1  *n2

               2   5   5   15   6         2   5   5   15   4   2
       + 17*a33 *m1 *m2 *n1  *n2  - 30*a33 *m1 *m2 *n1  *n2 *n3

              2   5   5   13   8          2   5   5   13   6   2
       - 3*a33 *m1 *m2 *n1  *n2  + 156*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   13   4   4         2   5   5   11   10
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 81*a33 *m1 *m2 *n1  *n2

                2   5   5   11   8   2          2   5   5   11   6   4
       + 222*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   4   6         2   5   5   9   12
       - 224*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2

                2   5   5   9   10   2          2   5   5   9   8   4
       - 264*a33 *m1 *m2 *n1 *n2  *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

                2   5   5   9   6   6         2   5   5   7   14
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2

                2   5   5   7   12   2          2   5   5   7   8   6
       - 366*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               2   5   5   5   16         2   5   5   5   14   2
       + 25*a33 *m1 *m2 *n1 *n2   - 12*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   5   12   4          2   5   5   5   10   6
       - 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

              2   5   5   3   18         2   5   5   3   16   2
       - 5*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

               2   5   5   3   14   4          2   5   5   3   12   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

              2   4   6   16   5         2   4   6   14   7
       - 5*a33 *m1 *m2 *n1  *n2  + 25*a33 *m1 *m2 *n1  *n2

               2   4   6   14   5   2         2   4   6   12   9
       - 75*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1  *n2

                2   4   6   12   7   2          2   4   6   12   5   4
       + 110*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   10   11          2   4   6   10   9   2
       - 45*a33 *m1 *m2 *n1  *n2   + 415*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   10   5   6         2   4   6   8   13
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 81*a33 *m1 *m2 *n1 *n2

               2   4   6   8   11   2          2   4   6   8   9   4
       + 68*a33 *m1 *m2 *n1 *n2  *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   6   8   7   6        2   4   6   6   15
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 3*a33 *m1 *m2 *n1 *n2

                2   4   6   6   13   2          2   4   6   6   11   4
       - 271*a33 *m1 *m2 *n1 *n2  *n3  + 392*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   9   6         2   4   6   4   17
       + 504*a33 *m1 *m2 *n1 *n2 *n3  + 17*a33 *m1 *m2 *n1 *n2

               2   4   6   4   15   2          2   4   6   4   13   4
       - 86*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   4   11   6      2   4   6   2   19
       + 224*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1 *n2

               2   4   6   2   17   2         2   4   6   2   15   4
       + 23*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   2   13   6         2   3   7   15   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   3   7   13   8          2   3   7   13   6   2
       + 10*a33 *m1 *m2 *n1  *n2  - 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   11   10         2   3   7   11   8   2
       + 60*a33 *m1 *m2 *n1  *n2   - 40*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   11   6   4         2   3   7   9   12
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2

                2   3   7   9   10   2          2   3   7   9   8   4
       + 292*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   9   6   6         2   3   7   7   14
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 38*a33 *m1 *m2 *n1 *n2

                2   3   7   7   12   2          2   3   7   7   10   4
       + 240*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   7   8   6         2   3   7   5   16
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 18*a33 *m1 *m2 *n1 *n2

               2   3   7   5   14   2          2   3   7   5   12   4
       - 52*a33 *m1 *m2 *n1 *n2  *n3  + 368*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   5   10   6        2   3   7   3   18
       + 192*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n1 *n2

               2   3   7   3   16   2        2   3   7   3   14   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   3   12   6        2   3   7      18   2
       + 160*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   7      16   4         2   3   7      14   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 32*a33 *m1 *m2 *n1*n2  *n3

               2   2   8   14   7         2   2   8   12   9
       - 10*a33 *m1 *m2 *n1  *n2  - 10*a33 *m1 *m2 *n1  *n2

               2   2   8   12   7   2         2   2   8   10   11
       - 75*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2

                2   2   8   10   9   2          2   2   8   10   7   4
       - 114*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   8   13         2   2   8   8   11   2
       + 32*a33 *m1 *m2 *n1 *n2   + 51*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   8   9   4          2   2   8   8   7   6
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   6   15          2   2   8   6   13   2
       + 2*a33 *m1 *m2 *n1 *n2   + 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   6   11   4          2   2   8   6   9   6
       - 16*a33 *m1 *m2 *n1 *n2  *n3  - 160*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   4   17         2   2   8   4   15   2
       - 6*a33 *m1 *m2 *n1 *n2   + 30*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   4   13   4         2   2   8   4   11   6
       + 132*a33 *m1 *m2 *n1 *n2  *n3  + 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   17   2         2   2   8   2   15   4
       - 12*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   13   6        2   2   8   17   4
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

              2   2   8   15   6        2      9   13   8
       - 4*a33 *m1 *m2 *n2  *n3  - 5*a33 *m1*m2 *n1  *n2

               2      9   11   10         2      9   11   8   2
       - 11*a33 *m1*m2 *n1  *n2   - 30*a33 *m1*m2 *n1  *n2 *n3

              2      9   9   12         2      9   9   10   2
       - 3*a33 *m1*m2 *n1 *n2   - 68*a33 *m1*m2 *n1 *n2  *n3

               2      9   9   8   4        2      9   7   14
       - 56*a33 *m1*m2 *n1 *n2 *n3  + 7*a33 *m1*m2 *n1 *n2

               2      9   7   12   2          2      9   7   10   4
       - 34*a33 *m1*m2 *n1 *n2  *n3  - 120*a33 *m1*m2 *n1 *n2  *n3

               2      9   7   8   6        2      9   5   16
       - 32*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n1 *n2

               2      9   5   14   2         2      9   5   12   4
       + 16*a33 *m1*m2 *n1 *n2  *n3  - 64*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   10   6         2      9   3   16   2
       - 56*a33 *m1*m2 *n1 *n2  *n3  + 12*a33 *m1*m2 *n1 *n2  *n3

              2      9   3   14   4         2      9   3   12   6
       + 8*a33 *m1*m2 *n1 *n2  *n3  - 16*a33 *m1*m2 *n1 *n2  *n3

              2      9      16   4        2      9      14   6
       + 8*a33 *m1*m2 *n1*n2  *n3  + 8*a33 *m1*m2 *n1*n2  *n3

            2   10   12   9        2   10   10   11        2   10   10   9   2
       - a33 *m2  *n1  *n2  - 3*a33 *m2  *n1  *n2   - 5*a33 *m2  *n1  *n2 *n3

              2   10   8   13         2   10   8   11   2
       - 3*a33 *m2  *n1 *n2   - 14*a33 *m2  *n1 *n2  *n3

              2   10   8   9   4      2   10   6   15
       - 8*a33 *m2  *n1 *n2 *n3  - a33 *m2  *n1 *n2

               2   10   6   13   2         2   10   6   11   4
       - 13*a33 *m2  *n1 *n2  *n3  - 20*a33 *m2  *n1 *n2  *n3

              2   10   6   9   6        2   10   4   15   2
       - 4*a33 *m2  *n1 *n2 *n3  - 4*a33 *m2  *n1 *n2  *n3

               2   10   4   13   4        2   10   4   11   6
       - 16*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2  *n3

              2   10   2   15   4        2   10   2   13   6
       - 4*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3 ) + u2*u3*v1*(

           2   11   10   7   3        2   11   10   5   5
      2*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   11   10   3   7        2   11   8   9   3
       + 8*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2 *n3

              2   11   8   7   5        2   11   8   5   7
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   10      11   8            2   10      11   6   3
       + 2*a33 *m1  *m2*n1  *n2 *n3 - 18*a33 *m1  *m2*n1  *n2 *n3

               2   10      11   4   5         2   10      11   2   7
       + 40*a33 *m1  *m2*n1  *n2 *n3  - 24*a33 *m1  *m2*n1  *n2 *n3

              2   10      9   10            2   10      9   8   3
       + 4*a33 *m1  *m2*n1 *n2  *n3 - 14*a33 *m1  *m2*n1 *n2 *n3

              2   10      9   6   5         2   10      9   4   7
       - 8*a33 *m1  *m2*n1 *n2 *n3  + 40*a33 *m1  *m2*n1 *n2 *n3

              2   10      7   12           2   10      7   10   3
       + 2*a33 *m1  *m2*n1 *n2  *n3 + 4*a33 *m1  *m2*n1 *n2  *n3

               2   10      7   8   5         2   10      7   6   7
       - 48*a33 *m1  *m2*n1 *n2 *n3  + 64*a33 *m1  *m2*n1 *n2 *n3

               2   9   2   12   7            2   9   2   12   5   3
       - 10*a33 *m1 *m2 *n1  *n2 *n3 + 52*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   12   3   5         2   9   2   12      7
       - 72*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2*n3

               2   9   2   10   9            2   9   2   10   7   3
       - 10*a33 *m1 *m2 *n1  *n2 *n3 - 24*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   10   5   5          2   9   2   10   3   7
       + 184*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   8   11            2   9   2   8   9   3
       + 10*a33 *m1 *m2 *n1 *n2  *n3 - 94*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   8   7   5         2   9   2   8   5   7
       + 144*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2 *n3

               2   9   2   6   13            2   9   2   6   11   3
       + 10*a33 *m1 *m2 *n1 *n2  *n3 - 18*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   6   9   5          2   9   2   6   7   7
       - 112*a33 *m1 *m2 *n1 *n2 *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   13   6            2   8   3   13   4   3
       + 20*a33 *m1 *m2 *n1  *n2 *n3 - 68*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   13   2   5        2   8   3   13   7
       + 56*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n3

               2   8   3   11   8             2   8   3   11   6   3
       - 10*a33 *m1 *m2 *n1  *n2 *n3 + 196*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   11   4   5          2   8   3   11   2   7
       - 424*a33 *m1 *m2 *n1  *n2 *n3  + 184*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   9   10             2   8   3   9   8   3
       - 60*a33 *m1 *m2 *n1 *n2  *n3 + 186*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   9   6   5          2   8   3   9   4   7
       + 192*a33 *m1 *m2 *n1 *n2 *n3  - 480*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   7   12             2   8   3   7   10   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 - 158*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   7   8   5          2   8   3   7   6   7
       + 560*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   5   14            2   8   3   5   12   3
       + 20*a33 *m1 *m2 *n1 *n2  *n3 - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   5   10   5          2   8   3   5   8   7
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   14   5            2   7   4   14   3   3
       - 20*a33 *m1 *m2 *n1  *n2 *n3 + 42*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   14      5         2   7   4   12   7
       - 16*a33 *m1 *m2 *n1  *n2*n3  + 60*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   12   5   3          2   7   4   12   3   5
       - 334*a33 *m1 *m2 *n1  *n2 *n3  + 368*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   12      7         2   7   4   10   9
       - 64*a33 *m1 *m2 *n1  *n2*n3  + 80*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   10   7   3          2   7   4   10   5   5
       + 116*a33 *m1 *m2 *n1  *n2 *n3  - 960*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   10   3   7         2   7   4   8   11
       + 608*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   8   9   3          2   7   4   8   7   5
       + 612*a33 *m1 *m2 *n1 *n2 *n3  - 448*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   8   5   7         2   7   4   6   13
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 60*a33 *m1 *m2 *n1 *n2  *n3

               2   7   4   6   11   3          2   7   4   6   9   5
       - 10*a33 *m1 *m2 *n1 *n2  *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   6   7   7         2   7   4   4   15
       - 784*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   4   13   3          2   7   4   4   9   7
       - 130*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   15   4            2   6   5   15   2   3
       + 10*a33 *m1 *m2 *n1  *n2 *n3 - 10*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   13   6             2   6   5   13   4   3
       - 80*a33 *m1 *m2 *n1  *n2 *n3 + 234*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   13   2   5         2   6   5   11   8
       - 112*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   11   6   3           2   6   5   11   4   5
       - 584*a33 *m1 *m2 *n1  *n2 *n3  + 1008*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   11   2   7          2   6   5   9   10
       - 224*a33 *m1 *m2 *n1  *n2 *n3  + 200*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   9   8   3          2   6   5   9   6   5
       - 508*a33 *m1 *m2 *n1 *n2 *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   5   9   4   7         2   6   5   7   12
       + 1120*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   7   10   3           2   6   5   7   8   5
       + 690*a33 *m1 *m2 *n1 *n2  *n3  - 1456*a33 *m1 *m2 *n1 *n2 *n3

                2   6   5   7   6   7         2   6   5   5   14
       - 336*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   5   12   3          2   6   5   5   10   5
       + 262*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   5   8   7         2   6   5   3   16
       - 1232*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   3   14   3          2   6   5   3   12   5
       - 108*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   3   10   7        2   5   6   16   3
       + 448*a33 *m1 *m2 *n1 *n2  *n3  - 2*a33 *m1 *m2 *n1  *n2 *n3

               2   5   6   14   5            2   5   6   14   3   3
       + 46*a33 *m1 *m2 *n1  *n2 *n3 - 60*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   12   7             2   5   6   12   5   3
       - 102*a33 *m1 *m2 *n1  *n2 *n3 + 522*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   12   3   5          2   5   6   10   9
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 150*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   10   7   3           2   5   6   10   5   5
       - 298*a33 *m1 *m2 *n1  *n2 *n3  + 1456*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   10   3   7          2   5   6   8   11
       - 448*a33 *m1 *m2 *n1  *n2 *n3  + 150*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   8   9   3          2   5   6   8   7   5
       - 1060*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   6   8   5   7          2   5   6   6   13
       + 1232*a33 *m1 *m2 *n1 *n2 *n3  + 102*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   6   11   3           2   5   6   6   9   5
       + 192*a33 *m1 *m2 *n1 *n2  *n3  - 1680*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   6   7   7         2   5   6   4   15
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 46*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   4   13   3          2   5   6   4   11   5
       + 326*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   4   9   7        2   5   6   2   17
       - 1120*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2  *n3

               2   5   6   2   15   3          2   5   6   2   13   5
       - 46*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   2   11   7         2   4   7   15   4
       + 224*a33 *m1 *m2 *n1 *n2  *n3  - 10*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   13   6             2   4   7   13   4   3
       + 80*a33 *m1 *m2 *n1  *n2 *n3 - 150*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   11   8             2   4   7   11   6   3
       - 10*a33 *m1 *m2 *n1  *n2 *n3 + 570*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   11   4   5          2   4   7   9   10
       - 560*a33 *m1 *m2 *n1  *n2 *n3  - 200*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   9   8   3           2   4   7   9   6   5
       + 340*a33 *m1 *m2 *n1 *n2 *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   9   4   7         2   4   7   7   12
       - 560*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   7   10   3           2   4   7   7   8   5
       - 788*a33 *m1 *m2 *n1 *n2  *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   7   6   7         2   4   7   5   14
       + 784*a33 *m1 *m2 *n1 *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   5   12   3          2   4   7   5   10   5
       - 234*a33 *m1 *m2 *n1 *n2  *n3  - 896*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   5   8   7         2   4   7   3   16
       + 672*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   3   14   3          2   4   7   3   12   5
       + 166*a33 *m1 *m2 *n1 *n2  *n3  - 176*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   3   10   7        2   4   7      16   3
       - 608*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1*n2  *n3

               2   4   7      14   5         2   4   7      12   7
       + 48*a33 *m1 *m2 *n1*n2  *n3  + 64*a33 *m1 *m2 *n1*n2  *n3

               2   3   8   14   5            2   3   8   12   7
       - 20*a33 *m1 *m2 *n1  *n2 *n3 + 60*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   12   5   3         2   3   8   10   9
       - 200*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   10   7   3          2   3   8   10   5   5
       + 270*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

               2   3   8   8   11             2   3   8   8   9   3
       - 80*a33 *m1 *m2 *n1 *n2  *n3 + 542*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   8   7   5          2   3   8   8   5   7
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 448*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   6   13             2   3   8   6   11   3
       - 60*a33 *m1 *m2 *n1 *n2  *n3 - 164*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   6   9   5          2   3   8   6   7   7
       + 896*a33 *m1 *m2 *n1 *n2 *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   4   15             2   3   8   4   13   3
       + 20*a33 *m1 *m2 *n1 *n2  *n3 - 204*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   4   11   5          2   3   8   4   9   7
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 480*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   2   15   3          2   3   8   2   13   5
       + 32*a33 *m1 *m2 *n1 *n2  *n3  - 120*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   2   11   7        2   3   8   15   5
       - 184*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n2  *n3

              2   3   8   13   7         2   2   9   13   6
       + 8*a33 *m1 *m2 *n2  *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   11   8             2   2   9   11   6   3
       + 10*a33 *m1 *m2 *n1  *n2 *n3 - 150*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   9   10            2   2   9   9   8   3
       + 60*a33 *m1 *m2 *n1 *n2  *n3 - 18*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   9   6   5         2   2   9   7   12
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   7   10   3          2   2   9   7   8   5
       + 256*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   7   6   7         2   2   9   5   14
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   5   12   3          2   2   9   5   10   5
       + 76*a33 *m1 *m2 *n1 *n2  *n3  + 320*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   5   8   7         2   2   9   3   14   3
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   3   12   5          2   2   9   3   10   7
       + 72*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9      14   5         2   2   9      12   7
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 24*a33 *m1 *m2 *n1*n2  *n3

               2      10   12   7            2      10   10   9
       - 10*a33 *m1*m2  *n1  *n2 *n3 - 10*a33 *m1*m2  *n1  *n2 *n3

               2      10   10   7   3         2      10   8   11
       - 60*a33 *m1*m2  *n1  *n2 *n3  + 10*a33 *m1*m2  *n1 *n2  *n3

               2      10   8   9   3          2      10   8   7   5
       - 66*a33 *m1*m2  *n1 *n2 *n3  - 112*a33 *m1*m2  *n1 *n2 *n3

               2      10   6   13            2      10   6   11   3
       + 10*a33 *m1*m2  *n1 *n2  *n3 + 26*a33 *m1*m2  *n1 *n2  *n3

                2      10   6   9   5         2      10   6   7   7
       - 112*a33 *m1*m2  *n1 *n2 *n3  - 64*a33 *m1*m2  *n1 *n2 *n3

               2      10   4   13   3         2      10   4   11   5
       + 32*a33 *m1*m2  *n1 *n2  *n3  + 24*a33 *m1*m2  *n1 *n2  *n3

               2      10   4   9   7         2      10   2   13   5
       - 40*a33 *m1*m2  *n1 *n2 *n3  + 24*a33 *m1*m2  *n1 *n2  *n3

               2      10   2   11   7        2   11   11   8
       + 24*a33 *m1*m2  *n1 *n2  *n3  - 2*a33 *m2  *n1  *n2 *n3

              2   11   9   10            2   11   9   8   3
       - 4*a33 *m2  *n1 *n2  *n3 - 10*a33 *m2  *n1 *n2 *n3

              2   11   7   12            2   11   7   10   3
       - 2*a33 *m2  *n1 *n2  *n3 - 18*a33 *m2  *n1 *n2  *n3

               2   11   7   8   5        2   11   5   12   3
       - 16*a33 *m2  *n1 *n2 *n3  - 8*a33 *m2  *n1 *n2  *n3

               2   11   5   10   5        2   11   5   8   7
       - 24*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3

              2   11   3   12   5        2   11   3   10   7
       - 8*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2  *n3 ) + u2*u3*v3*(

           2   11   11   7   2        2   11   11   5   4
      2*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   11   11   3   6        2   11   9   9   2
       + 8*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2 *n3

              2   11   9   7   4        2   11   9   5   6
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   10      12   8         2   10      12   6   2
       + 2*a33 *m1  *m2*n1  *n2  - 17*a33 *m1  *m2*n1  *n2 *n3

               2   10      12   4   4         2   10      12   2   6
       + 36*a33 *m1  *m2*n1  *n2 *n3  - 20*a33 *m1  *m2*n1  *n2 *n3

              2   10      10   10         2   10      10   8   2
       + 4*a33 *m1  *m2*n1  *n2   - 12*a33 *m1  *m2*n1  *n2 *n3

               2   10      10   6   4         2   10      10   4   6
       - 16*a33 *m1  *m2*n1  *n2 *n3  + 48*a33 *m1  *m2*n1  *n2 *n3

              2   10      8   12        2   10      8   10   2
       + 2*a33 *m1  *m2*n1 *n2   + 5*a33 *m1  *m2*n1 *n2  *n3

               2   10      8   8   4         2   10      8   6   6
       - 52*a33 *m1  *m2*n1 *n2 *n3  + 68*a33 *m1  *m2*n1 *n2 *n3

              2   9   2   13   7         2   9   2   13   5   2
       - 9*a33 *m1 *m2 *n1  *n2  + 44*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   13   3   4         2   9   2   13      6
       - 56*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

              2   9   2   11   9         2   9   2   11   7   2
       - 7*a33 *m1 *m2 *n1  *n2  - 38*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   11   5   4          2   9   2   11   3   6
       + 192*a33 *m1 *m2 *n1  *n2 *n3  - 152*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   9   11         2   9   2   9   9   2
       + 13*a33 *m1 *m2 *n1 *n2   - 98*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   9   7   4         2   9   2   9   5   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 88*a33 *m1 *m2 *n1 *n2 *n3

               2   9   2   7   13         2   9   2   7   11   2
       + 11*a33 *m1 *m2 *n1 *n2   - 16*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   7   9   4          2   9   2   7   7   6
       - 136*a33 *m1 *m2 *n1 *n2 *n3  + 256*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   14   6         2   8   3   14   4   2
       + 16*a33 *m1 *m2 *n1  *n2  - 50*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   14   2   4        2   8   3   14   6
       + 36*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

               2   8   3   12   8          2   8   3   12   6   2
       - 17*a33 *m1 *m2 *n1  *n2  + 196*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   12   4   4          2   8   3   12   2   6
       - 360*a33 *m1 *m2 *n1  *n2 *n3  + 128*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   10   10          2   8   3   10   8   2
       - 57*a33 *m1 *m2 *n1  *n2   + 123*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   10   6   4          2   8   3   10   4   6
       + 324*a33 *m1 *m2 *n1  *n2 *n3  - 492*a33 *m1 *m2 *n1  *n2 *n3

            2   8   3   8   12          2   8   3   8   10   2
       + a33 *m1 *m2 *n1 *n2   - 212*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   8   8   4         2   8   3   8   6   6
       + 552*a33 *m1 *m2 *n1 *n2 *n3  - 64*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   6   14         2   8   3   6   12   2
       + 25*a33 *m1 *m2 *n1 *n2   - 89*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   6   10   4          2   8   3   6   8   6
       - 168*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   15   5         2   7   4   15   3   2
       - 14*a33 *m1 *m2 *n1  *n2  + 26*a33 *m1 *m2 *n1  *n2 *n3

              2   7   4   15      4         2   7   4   13   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  + 58*a33 *m1 *m2 *n1  *n2

                2   7   4   13   5   2          2   7   4   13   3   4
       - 270*a33 *m1 *m2 *n1  *n2 *n3  + 248*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   13      6         2   7   4   11   9
       - 32*a33 *m1 *m2 *n1  *n2*n3  + 48*a33 *m1 *m2 *n1  *n2

                2   7   4   11   7   2          2   7   4   11   5   4
       + 244*a33 *m1 *m2 *n1  *n2 *n3  - 944*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   11   3   6          2   7   4   9   11
       + 448*a33 *m1 *m2 *n1  *n2 *n3  - 104*a33 *m1 *m2 *n1 *n2

                2   7   4   9   9   2         2   7   4   9   7   4
       + 572*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   9   5   6         2   7   4   7   13
       - 864*a33 *m1 *m2 *n1 *n2 *n3  - 50*a33 *m1 *m2 *n1 *n2

                2   7   4   7   11   2           2   7   4   7   9   4
       - 138*a33 *m1 *m2 *n1 *n2  *n3  + 1064*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   7   7   6         2   7   4   5   15
       - 560*a33 *m1 *m2 *n1 *n2 *n3  + 30*a33 *m1 *m2 *n1 *n2

                2   7   4   5   13   2         2   7   4   5   11   4
       - 170*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   5   9   6        2   6   5   16   4
       + 784*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

              2   6   5   16   2   2         2   6   5   14   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  - 62*a33 *m1 *m2 *n1  *n2

                2   6   5   14   4   2         2   6   5   14   2   4
       + 152*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   12   8          2   6   5   12   6   2
       + 48*a33 *m1 *m2 *n1  *n2  - 565*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   12   4   4          2   6   5   12   2   6
       + 728*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   10   10          2   6   5   10   8   2
       + 176*a33 *m1 *m2 *n1  *n2   - 184*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   5   10   6   4          2   6   5   10   4   6
       - 1232*a33 *m1 *m2 *n1  *n2 *n3  + 896*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   8   12          2   6   5   8   10   2
       - 50*a33 *m1 *m2 *n1 *n2   + 863*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   8   8   4          2   6   5   8   6   6
       - 1064*a33 *m1 *m2 *n1 *n2 *n3  - 840*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   6   14          2   6   5   6   12   2
       - 90*a33 *m1 *m2 *n1 *n2   + 152*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   6   10   4           2   6   5   6   8   6
       + 1064*a33 *m1 *m2 *n1 *n2  *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   4   16          2   6   5   4   14   2
       + 20*a33 *m1 *m2 *n1 *n2   - 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   4   12   4          2   6   5   4   10   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 728*a33 *m1 *m2 *n1 *n2  *n3

            2   5   6   17   3         2   5   6   15   5
       - a33 *m1 *m2 *n1  *n2  + 29*a33 *m1 *m2 *n1  *n2

               2   5   6   15   3   2         2   5   6   13   7
       - 30*a33 *m1 *m2 *n1  *n2 *n3  - 99*a33 *m1 *m2 *n1  *n2

                2   5   6   13   5   2          2   5   6   13   3   4
       + 366*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   5   6   11   9          2   5   6   11   7   2
       - 69*a33 *m1 *m2 *n1  *n2  - 520*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   11   5   4          2   5   6   11   3   6
       + 1176*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   9   11          2   5   6   9   9   2
       + 195*a33 *m1 *m2 *n1 *n2   - 796*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   9   7   4           2   5   6   9   5   6
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   7   13          2   5   6   7   11   2
       + 57*a33 *m1 *m2 *n1 *n2   + 558*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   7   9   4          2   5   6   7   7   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   5   15          2   5   6   5   13   2
       - 71*a33 *m1 *m2 *n1 *n2   + 338*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   5   11   4           2   5   6   5   9   6
       + 504*a33 *m1 *m2 *n1 *n2  *n3  - 1232*a33 *m1 *m2 *n1 *n2 *n3

              2   5   6   3   17          2   5   6   3   15   2
       + 7*a33 *m1 *m2 *n1 *n2   - 100*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   3   13   4          2   5   6   3   11   6
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   16   4         2   4   7   14   6
       - 5*a33 *m1 *m2 *n1  *n2  + 55*a33 *m1 *m2 *n1  *n2

               2   4   7   14   4   2         2   4   7   12   8
       - 75*a33 *m1 *m2 *n1  *n2 *n3  - 55*a33 *m1 *m2 *n1  *n2

                2   4   7   12   6   2          2   4   7   12   4   4
       + 460*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   10   10         2   4   7   10   8   2
       - 155*a33 *m1 *m2 *n1  *n2   - 75*a33 *m1 *m2 *n1  *n2 *n3

                 2   4   7   10   6   4          2   4   7   10   4   6
       + 1120*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   8   12          2   4   7   8   10   2
       + 71*a33 *m1 *m2 *n1 *n2   - 856*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   8   8   4          2   4   7   8   6   6
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   6   14         2   4   7   6   12   2
       + 83*a33 *m1 *m2 *n1 *n2   + 37*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   6   10   4          2   4   7   6   8   6
       - 1288*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   4   16          2   4   7   4   14   2
       - 27*a33 *m1 *m2 *n1 *n2   + 252*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   4   12   4          2   4   7   4   10   6
       - 8*a33 *m1 *m2 *n1 *n2  *n3  - 832*a33 *m1 *m2 *n1 *n2  *n3

            2   4   7   2   18         2   4   7   2   16   2
       + a33 *m1 *m2 *n1 *n2   - 31*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   2   14   4          2   4   7   2   12   6
       + 104*a33 *m1 *m2 *n1 *n2  *n3  + 176*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   15   5         2   3   8   13   7
       - 10*a33 *m1 *m2 *n1  *n2  + 50*a33 *m1 *m2 *n1  *n2

                2   3   8   13   5   2         2   3   8   11   9
       - 100*a33 *m1 *m2 *n1  *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2

                2   3   8   11   7   2          2   3   8   11   5   4
       + 310*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   9   11          2   3   8   9   9   2
       - 104*a33 *m1 *m2 *n1 *n2   + 250*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   9   7   4          2   3   8   9   5   6
       + 616*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   7   13          2   3   8   7   11   2
       - 22*a33 *m1 *m2 *n1 *n2   - 404*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   7   9   4          2   3   8   7   7   6
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   5   15          2   3   8   5   13   2
       + 38*a33 *m1 *m2 *n1 *n2   - 152*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   5   11   4          2   3   8   5   9   6
       - 496*a33 *m1 *m2 *n1 *n2  *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

              2   3   8   3   17         2   3   8   3   15   2
       - 4*a33 *m1 *m2 *n1 *n2   + 88*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   3   13   4          2   3   8   3   11   6
       - 128*a33 *m1 *m2 *n1 *n2  *n3  - 344*a33 *m1 *m2 *n1 *n2  *n3

              2   3   8      17   2         2   3   8      15   4
       - 4*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               2   3   8      13   6         2   2   9   14   6
       + 40*a33 *m1 *m2 *n1*n2  *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   2   9   12   8         2   2   9   12   6   2
       + 20*a33 *m1 *m2 *n1  *n2  - 75*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   10   10         2   2   9   10   8   2
       + 36*a33 *m1 *m2 *n1  *n2   + 96*a33 *m1 *m2 *n1  *n2 *n3

                2   2   9   10   6   4         2   2   9   8   12
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 22*a33 *m1 *m2 *n1 *n2

                2   2   9   8   10   2          2   2   9   8   8   4
       + 205*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   8   6   6         2   2   9   6   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 22*a33 *m1 *m2 *n1 *n2

               2   2   9   6   12   2          2   2   9   6   10   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   6   8   6        2   2   9   4   16
       + 128*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

               2   2   9   4   14   2         2   2   9   4   12   4
       - 78*a33 *m1 *m2 *n1 *n2  *n3  - 60*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   4   10   6         2   2   9   2   16   2
       + 156*a33 *m1 *m2 *n1 *n2  *n3  + 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   2   14   4         2   2   9   2   12   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 80*a33 *m1 *m2 *n1 *n2  *n3

              2   2   9   16   4        2   2   9   14   6
       + 4*a33 *m1 *m2 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              2      10   13   7      2      10   11   9
       - 5*a33 *m1*m2  *n1  *n2  + a33 *m1*m2  *n1  *n2

               2      10   11   7   2         2      10   9   11
       - 30*a33 *m1*m2  *n1  *n2 *n3  + 13*a33 *m1*m2  *n1 *n2

              2      10   9   9   2         2      10   9   7   4
       + 2*a33 *m1*m2  *n1 *n2 *n3  - 56*a33 *m1*m2  *n1 *n2 *n3

              2      10   7   13         2      10   7   11   2
       + 3*a33 *m1*m2  *n1 *n2   + 60*a33 *m1*m2  *n1 *n2  *n3

              2      10   7   9   4         2      10   7   7   6
       + 8*a33 *m1*m2  *n1 *n2 *n3  - 32*a33 *m1*m2  *n1 *n2 *n3

              2      10   5   15         2      10   5   13   2
       - 4*a33 *m1*m2  *n1 *n2   + 16*a33 *m1*m2  *n1 *n2  *n3

               2      10   5   11   4         2      10   5   9   6
       + 88*a33 *m1*m2  *n1 *n2  *n3  + 16*a33 *m1*m2  *n1 *n2 *n3

               2      10   3   15   2         2      10   3   13   4
       - 12*a33 *m1*m2  *n1 *n2  *n3  + 16*a33 *m1*m2  *n1 *n2  *n3

               2      10   3   11   6        2      10      15   4
       + 40*a33 *m1*m2  *n1 *n2  *n3  - 8*a33 *m1*m2  *n1*n2  *n3

              2      10      13   6      2   11   12   8      2   11   10   10
       - 8*a33 *m1*m2  *n1*n2  *n3  - a33 *m2  *n1  *n2  - a33 *m2  *n1  *n2

              2   11   10   8   2      2   11   8   12
       - 5*a33 *m2  *n1  *n2 *n3  + a33 *m2  *n1 *n2

              2   11   8   10   2        2   11   8   8   4      2   11   6   14
       - 4*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

              2   11   6   12   2        2   11   6   10   4
       + 5*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3

              2   11   6   8   6        2   11   4   14   2
       - 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

              2   11   4   12   4        2   11   2   14   4
       + 8*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3

              2   11   2   12   6                      10   12   7   3
       + 4*a33 *m2  *n1 *n2  *n3 ) + u2*u3*( - 2*a33*m1  *n1  *n2 *n3

                 10   12   5   5           10   12   3   7
       + 8*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 10   10   9   3            10   10   7   5
       - 4*a33*m1  *n1  *n2 *n3  + 16*a33*m1  *n1  *n2 *n3

                  10   10   5   7           10   8   11   3
       - 16*a33*m1  *n1  *n2 *n3  - 2*a33*m1  *n1 *n2  *n3

                 10   8   9   5           10   8   7   7
       + 8*a33*m1  *n1 *n2 *n3  - 8*a33*m1  *n1 *n2 *n3

                 9      13   8               9      13   6   3
       - 2*a33*m1 *m2*n1  *n2 *n3 + 16*a33*m1 *m2*n1  *n2 *n3

                  9      13   4   5            9      13   2   7
       - 32*a33*m1 *m2*n1  *n2 *n3  + 16*a33*m1 *m2*n1  *n2 *n3

                 9      11   10               9      11   8   3
       - 6*a33*m1 *m2*n1  *n2  *n3 + 28*a33*m1 *m2*n1  *n2 *n3

                  9      11   6   5            9      11   4   7
       - 16*a33*m1 *m2*n1  *n2 *n3  - 32*a33*m1 *m2*n1  *n2 *n3

                 9      9   12              9      9   10   3
       - 6*a33*m1 *m2*n1 *n2  *n3 + 8*a33*m1 *m2*n1 *n2  *n3

                  9      9   8   5             9      9   6   7
       + 64*a33*m1 *m2*n1 *n2 *n3  - 112*a33*m1 *m2*n1 *n2 *n3

                 9      7   14              9      7   12   3
       - 2*a33*m1 *m2*n1 *n2  *n3 - 4*a33*m1 *m2*n1 *n2  *n3

                  9      7   10   5            9      7   8   7
       + 48*a33*m1 *m2*n1 *n2  *n3  - 64*a33*m1 *m2*n1 *n2 *n3

                 8   2   14   7               8   2   14   5   3
       + 8*a33*m1 *m2 *n1  *n2 *n3 - 36*a33*m1 *m2 *n1  *n2 *n3

                  8   2   14   3   5           8   2   14      7
       + 40*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n2*n3

                  8   2   12   9                8   2   12   5   5
       + 14*a33*m1 *m2 *n1  *n2 *n3 - 128*a33*m1 *m2 *n1  *n2 *n3

                   8   2   12   3   7           8   2   10   11
       + 112*a33*m1 *m2 *n1  *n2 *n3  - 6*a33*m1 *m2 *n1  *n2  *n3

                   8   2   10   9   3             8   2   10   7   5
       + 126*a33*m1 *m2 *n1  *n2 *n3  - 264*a33*m1 *m2 *n1  *n2 *n3

                  8   2   10   5   7            8   2   8   13
       + 24*a33*m1 *m2 *n1  *n2 *n3  - 22*a33*m1 *m2 *n1 *n2  *n3

                   8   2   8   11   3            8   2   8   9   5
       + 108*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2 *n3

                   8   2   8   7   7            8   2   6   15
       - 320*a33*m1 *m2 *n1 *n2 *n3  - 10*a33*m1 *m2 *n1 *n2  *n3

                  8   2   6   13   3             8   2   6   11   5
       + 18*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   8   2   6   9   7            7   3   15   6
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2 *n3

                  7   3   15   4   3            7   3   15   2   5
       + 32*a33*m1 *m2 *n1  *n2 *n3  - 16*a33*m1 *m2 *n1  *n2 *n3

                 7   3   13   8                7   3   13   6   3
       + 4*a33*m1 *m2 *n1  *n2 *n3 - 128*a33*m1 *m2 *n1  *n2 *n3

                   7   3   13   4   5            7   3   13   2   7
       + 240*a33*m1 *m2 *n1  *n2 *n3  - 64*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   10                7   3   11   8   3
       + 64*a33*m1 *m2 *n1  *n2  *n3 - 256*a33*m1 *m2 *n1  *n2 *n3

                  7   3   11   6   5             7   3   11   4   7
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 320*a33*m1 *m2 *n1  *n2 *n3

                  7   3   9   12               7   3   9   10   3
       + 48*a33*m1 *m2 *n1 *n2  *n3 + 80*a33*m1 *m2 *n1 *n2  *n3

                   7   3   9   8   5             7   3   9   6   7
       - 736*a33*m1 *m2 *n1 *n2 *n3  + 384*a33*m1 *m2 *n1 *n2 *n3

                  7   3   7   14                7   3   7   12   3
       - 20*a33*m1 *m2 *n1 *n2  *n3 + 256*a33*m1 *m2 *n1 *n2  *n3

                   7   3   7   10   5             7   3   7   8   7
       - 336*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2 *n3

                  7   3   5   16               7   3   5   14   3
       - 20*a33*m1 *m2 *n1 *n2  *n3 + 80*a33*m1 *m2 *n1 *n2  *n3

                   7   3   5   12   5             7   3   5   10   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                 6   4   16   5               6   4   16   3   3
       + 8*a33*m1 *m2 *n1  *n2 *n3 - 10*a33*m1 *m2 *n1  *n2 *n3

                  6   4   14   7                6   4   14   5   3
       - 36*a33*m1 *m2 *n1  *n2 *n3 + 164*a33*m1 *m2 *n1  *n2 *n3

                   6   4   14   3   5            6   4   12   9
       - 112*a33*m1 *m2 *n1  *n2 *n3  - 76*a33*m1 *m2 *n1  *n2 *n3

                  6   4   12   7   3             6   4   12   5   5
       - 38*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                   6   4   12   3   7            6   4   10   11
       - 224*a33*m1 *m2 *n1  *n2 *n3  + 48*a33*m1 *m2 *n1  *n2  *n3

                   6   4   10   9   3             6   4   10   7   5
       - 648*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                   6   4   10   5   7             6   4   8   13
       + 448*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1 *n2  *n3

                   6   4   8   11   3             6   4   8   9   5
       - 346*a33*m1 *m2 *n1 *n2  *n3  - 784*a33*m1 *m2 *n1 *n2 *n3

                    6   4   8   7   7            6   4   6   15
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   13   3             6   4   6   11   5
       + 220*a33*m1 *m2 *n1 *n2  *n3  - 784*a33*m1 *m2 *n1 *n2  *n3

                   6   4   6   9   7            6   4   4   17
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2  *n3

                   6   4   4   15   3             6   4   4   11   7
       + 130*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2  *n3

                 5   5   17   4               5   5   15   6
       - 2*a33*m1 *m2 *n1  *n2 *n3 + 34*a33*m1 *m2 *n1  *n2 *n3

                  5   5   15   4   3           5   5   13   8
       - 60*a33*m1 *m2 *n1  *n2 *n3  - 6*a33*m1 *m2 *n1  *n2 *n3

                   5   5   13   6   3             5   5   13   4   5
       + 312*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   10                5   5   11   8   3
       - 162*a33*m1 *m2 *n1  *n2  *n3 + 444*a33*m1 *m2 *n1  *n2 *n3

                   5   5   11   6   5             5   5   11   4   7
       + 560*a33*m1 *m2 *n1  *n2 *n3  - 448*a33*m1 *m2 *n1  *n2 *n3

                  5   5   9   12                5   5   9   10   3
       - 90*a33*m1 *m2 *n1 *n2  *n3 - 528*a33*m1 *m2 *n1 *n2  *n3

                    5   5   9   8   5             5   5   9   6   7
       + 1568*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                  5   5   7   14                5   5   7   12   3
       + 90*a33*m1 *m2 *n1 *n2  *n3 - 732*a33*m1 *m2 *n1 *n2  *n3

                    5   5   7   8   7            5   5   5   16
       + 1344*a33*m1 *m2 *n1 *n2 *n3  + 50*a33*m1 *m2 *n1 *n2  *n3

                  5   5   5   14   3             5   5   5   12   5
       - 24*a33*m1 *m2 *n1 *n2  *n3  - 784*a33*m1 *m2 *n1 *n2  *n3

                   5   5   5   10   7            5   5   3   18
       + 224*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2  *n3

                   5   5   3   16   3             5   5   3   14   5
       + 108*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   5   5   3   12   7            4   6   16   5
       - 448*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2 *n3

                  4   6   14   7                4   6   14   5   3
       + 50*a33*m1 *m2 *n1  *n2 *n3 - 150*a33*m1 *m2 *n1  *n2 *n3

                  4   6   12   9                4   6   12   7   3
       + 90*a33*m1 *m2 *n1  *n2 *n3 + 220*a33*m1 *m2 *n1  *n2 *n3

                   4   6   12   5   5            4   6   10   11
       - 560*a33*m1 *m2 *n1  *n2 *n3  - 90*a33*m1 *m2 *n1  *n2  *n3

                   4   6   10   9   3             4   6   10   5   7
       + 830*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   4   6   8   13                4   6   8   11   3
       - 162*a33*m1 *m2 *n1 *n2  *n3 + 136*a33*m1 *m2 *n1 *n2  *n3

                    4   6   8   9   5             4   6   8   7   7
       + 1568*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                 4   6   6   15                4   6   6   13   3
       - 6*a33*m1 *m2 *n1 *n2  *n3 - 542*a33*m1 *m2 *n1 *n2  *n3

                   4   6   6   11   5              4   6   6   9   7
       + 784*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  4   6   4   17                4   6   4   15   3
       + 34*a33*m1 *m2 *n1 *n2  *n3 - 172*a33*m1 *m2 *n1 *n2  *n3

                   4   6   4   13   5             4   6   4   11   7
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 448*a33*m1 *m2 *n1 *n2  *n3

                 4   6   2   19               4   6   2   17   3
       - 2*a33*m1 *m2 *n1 *n2  *n3 + 46*a33*m1 *m2 *n1 *n2  *n3

                   4   6   2   15   5             4   6   2   13   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                  3   7   15   6               3   7   13   8
       - 20*a33*m1 *m2 *n1  *n2 *n3 + 20*a33*m1 *m2 *n1  *n2 *n3

                   3   7   13   6   3             3   7   11   10
       - 200*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2  *n3

                  3   7   11   8   3             3   7   11   6   5
       - 80*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                  3   7   9   12                3   7   9   10   3
       + 48*a33*m1 *m2 *n1 *n2  *n3 + 584*a33*m1 *m2 *n1 *n2  *n3

                   3   7   9   8   5             3   7   9   6   7
       - 560*a33*m1 *m2 *n1 *n2 *n3  - 448*a33*m1 *m2 *n1 *n2 *n3

                  3   7   7   14                3   7   7   12   3
       - 76*a33*m1 *m2 *n1 *n2  *n3 + 480*a33*m1 *m2 *n1 *n2  *n3

                   3   7   7   10   5             3   7   7   8   7
       + 672*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2 *n3

                  3   7   5   16                3   7   5   14   3
       - 36*a33*m1 *m2 *n1 *n2  *n3 - 104*a33*m1 *m2 *n1 *n2  *n3

                   3   7   5   12   5             3   7   5   10   7
       + 736*a33*m1 *m2 *n1 *n2  *n3  + 384*a33*m1 *m2 *n1 *n2  *n3

                 3   7   3   18                3   7   3   16   3
       + 8*a33*m1 *m2 *n1 *n2  *n3 - 112*a33*m1 *m2 *n1 *n2  *n3

                  3   7   3   14   5             3   7   3   12   7
       + 16*a33*m1 *m2 *n1 *n2  *n3  + 320*a33*m1 *m2 *n1 *n2  *n3

                 3   7      18   3            3   7      16   5
       + 8*a33*m1 *m2 *n1*n2  *n3  - 48*a33*m1 *m2 *n1*n2  *n3

                  3   7      14   7            2   8   14   7
       - 64*a33*m1 *m2 *n1*n2  *n3  - 20*a33*m1 *m2 *n1  *n2 *n3

                  2   8   12   9                2   8   12   7   3
       - 20*a33*m1 *m2 *n1  *n2 *n3 - 150*a33*m1 *m2 *n1  *n2 *n3

                  2   8   10   11                2   8   10   9   3
       + 48*a33*m1 *m2 *n1  *n2  *n3 - 228*a33*m1 *m2 *n1  *n2 *n3

                   2   8   10   7   5            2   8   8   13
       - 336*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1 *n2  *n3

                   2   8   8   11   3             2   8   8   9   5
       + 102*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                   2   8   8   7   7           2   8   6   15
       - 224*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   13   3            2   8   6   11   5
       + 264*a33*m1 *m2 *n1 *n2  *n3  - 32*a33*m1 *m2 *n1 *n2  *n3

                   2   8   6   9   7            2   8   4   17
       - 320*a33*m1 *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1 *n2  *n3

                  2   8   4   15   3             2   8   4   13   5
       + 60*a33*m1 *m2 *n1 *n2  *n3  + 264*a33*m1 *m2 *n1 *n2  *n3

                  2   8   4   11   7            2   8   2   17   3
       + 24*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2  *n3

                  2   8   2   15   5             2   8   2   13   7
       + 64*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                 2   8   17   5           2   8   15   7
       - 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                     9   13   8                  9   11   10
       - 10*a33*m1*m2 *n1  *n2 *n3 - 22*a33*m1*m2 *n1  *n2  *n3

                     9   11   8   3              9   9   12
       - 60*a33*m1*m2 *n1  *n2 *n3  - 6*a33*m1*m2 *n1 *n2  *n3

                      9   9   10   3                9   9   8   5
       - 136*a33*m1*m2 *n1 *n2  *n3  - 112*a33*m1*m2 *n1 *n2 *n3

                     9   7   14                  9   7   12   3
       + 14*a33*m1*m2 *n1 *n2  *n3 - 68*a33*m1*m2 *n1 *n2  *n3

                      9   7   10   5               9   7   8   7
       - 240*a33*m1*m2 *n1 *n2  *n3  - 64*a33*m1*m2 *n1 *n2 *n3

                    9   5   16                  9   5   14   3
       + 8*a33*m1*m2 *n1 *n2  *n3 + 32*a33*m1*m2 *n1 *n2  *n3

                      9   5   12   5                9   5   10   7
       - 128*a33*m1*m2 *n1 *n2  *n3  - 112*a33*m1*m2 *n1 *n2  *n3

                     9   3   16   3               9   3   14   5
       + 24*a33*m1*m2 *n1 *n2  *n3  + 16*a33*m1*m2 *n1 *n2  *n3

                     9   3   12   7               9      16   5
       - 32*a33*m1*m2 *n1 *n2  *n3  + 16*a33*m1*m2 *n1*n2  *n3

                     9      14   7           10   12   9
       + 16*a33*m1*m2 *n1*n2  *n3  - 2*a33*m2  *n1  *n2 *n3

                 10   10   11               10   10   9   3
       - 6*a33*m2  *n1  *n2  *n3 - 10*a33*m2  *n1  *n2 *n3

                 10   8   13               10   8   11   3
       - 6*a33*m2  *n1 *n2  *n3 - 28*a33*m2  *n1 *n2  *n3

                  10   8   9   5           10   6   15
       - 16*a33*m2  *n1 *n2 *n3  - 2*a33*m2  *n1 *n2  *n3

                  10   6   13   3            10   6   11   5
       - 26*a33*m2  *n1 *n2  *n3  - 40*a33*m2  *n1 *n2  *n3

                 10   6   9   7           10   4   15   3
       - 8*a33*m2  *n1 *n2 *n3  - 8*a33*m2  *n1 *n2  *n3

                  10   4   13   5            10   4   11   7
       - 32*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2  *n3

                 10   2   15   5           10   2   13   7         2
       - 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2  *n3 ) + u2*v1 *(

           2   12   10   7   2        2   12   10   5   4
      2*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   12   10   3   6        2   12   8   9   2
       + 8*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2 *n3

              2   12   8   7   4        2   12   8   5   6
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   11      11   8         2   11      11   6   2
       + 2*a33 *m1  *m2*n1  *n2  - 18*a33 *m1  *m2*n1  *n2 *n3

               2   11      11   4   4         2   11      11   2   6
       + 40*a33 *m1  *m2*n1  *n2 *n3  - 24*a33 *m1  *m2*n1  *n2 *n3

              2   11      9   10         2   11      9   8   2
       + 4*a33 *m1  *m2*n1 *n2   - 14*a33 *m1  *m2*n1 *n2 *n3

              2   11      9   6   4         2   11      9   4   6
       - 8*a33 *m1  *m2*n1 *n2 *n3  + 40*a33 *m1  *m2*n1 *n2 *n3

              2   11      7   12        2   11      7   10   2
       + 2*a33 *m1  *m2*n1 *n2   + 4*a33 *m1  *m2*n1 *n2  *n3

               2   11      7   8   4         2   11      7   6   6
       - 48*a33 *m1  *m2*n1 *n2 *n3  + 64*a33 *m1  *m2*n1 *n2 *n3

               2   10   2   12   7         2   10   2   12   5   2
       - 10*a33 *m1  *m2 *n1  *n2  + 52*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   12   3   4         2   10   2   12      6
       - 72*a33 *m1  *m2 *n1  *n2 *n3  + 24*a33 *m1  *m2 *n1  *n2*n3

               2   10   2   10   9         2   10   2   10   7   2
       - 10*a33 *m1  *m2 *n1  *n2  - 24*a33 *m1  *m2 *n1  *n2 *n3

                2   10   2   10   5   4          2   10   2   10   3   6
       + 184*a33 *m1  *m2 *n1  *n2 *n3  - 168*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   8   11         2   10   2   8   9   2
       + 10*a33 *m1  *m2 *n1 *n2   - 94*a33 *m1  *m2 *n1 *n2 *n3

                2   10   2   8   7   4         2   10   2   8   5   6
       + 144*a33 *m1  *m2 *n1 *n2 *n3  + 32*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   6   13         2   10   2   6   11   2
       + 10*a33 *m1  *m2 *n1 *n2   - 18*a33 *m1  *m2 *n1 *n2  *n3

                2   10   2   6   9   4          2   10   2   6   7   6
       - 112*a33 *m1  *m2 *n1 *n2 *n3  + 224*a33 *m1  *m2 *n1 *n2 *n3

               2   9   3   13   6         2   9   3   13   4   2
       + 20*a33 *m1 *m2 *n1  *n2  - 68*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   13   2   4        2   9   3   13   6
       + 56*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n3

               2   9   3   11   8          2   9   3   11   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 196*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   11   4   4          2   9   3   11   2   6
       - 424*a33 *m1 *m2 *n1  *n2 *n3  + 184*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   9   10          2   9   3   9   8   2
       - 60*a33 *m1 *m2 *n1 *n2   + 186*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   9   6   4          2   9   3   9   4   6
       + 192*a33 *m1 *m2 *n1 *n2 *n3  - 480*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   7   12          2   9   3   7   10   2
       - 10*a33 *m1 *m2 *n1 *n2   - 158*a33 *m1 *m2 *n1 *n2  *n3

                2   9   3   7   8   4          2   9   3   7   6   6
       + 560*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   5   14         2   9   3   5   12   2
       + 20*a33 *m1 *m2 *n1 *n2   - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   9   3   5   10   4          2   9   3   5   8   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   14   5         2   8   4   14   3   2
       - 20*a33 *m1 *m2 *n1  *n2  + 42*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   14      4         2   8   4   12   7
       - 16*a33 *m1 *m2 *n1  *n2*n3  + 60*a33 *m1 *m2 *n1  *n2

                2   8   4   12   5   2          2   8   4   12   3   4
       - 334*a33 *m1 *m2 *n1  *n2 *n3  + 368*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   12      6         2   8   4   10   9
       - 64*a33 *m1 *m2 *n1  *n2*n3  + 80*a33 *m1 *m2 *n1  *n2

                2   8   4   10   7   2          2   8   4   10   5   4
       + 116*a33 *m1 *m2 *n1  *n2 *n3  - 960*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   10   3   6         2   8   4   8   11
       + 608*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2

                2   8   4   8   9   2          2   8   4   8   7   4
       + 612*a33 *m1 *m2 *n1 *n2 *n3  - 448*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   8   5   6         2   8   4   6   13
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 60*a33 *m1 *m2 *n1 *n2

               2   8   4   6   11   2          2   8   4   6   9   4
       - 10*a33 *m1 *m2 *n1 *n2  *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   6   7   6         2   8   4   4   15
       - 784*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

                2   8   4   4   13   2          2   8   4   4   9   6
       - 130*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   15   4         2   7   5   15   2   2
       + 10*a33 *m1 *m2 *n1  *n2  - 10*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   13   6          2   7   5   13   4   2
       - 80*a33 *m1 *m2 *n1  *n2  + 234*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   13   2   4         2   7   5   11   8
       - 112*a33 *m1 *m2 *n1  *n2 *n3  + 10*a33 *m1 *m2 *n1  *n2

                2   7   5   11   6   2           2   7   5   11   4   4
       - 584*a33 *m1 *m2 *n1  *n2 *n3  + 1008*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   11   2   6          2   7   5   9   10
       - 224*a33 *m1 *m2 *n1  *n2 *n3  + 200*a33 *m1 *m2 *n1 *n2

                2   7   5   9   8   2          2   7   5   9   6   4
       - 508*a33 *m1 *m2 *n1 *n2 *n3  - 896*a33 *m1 *m2 *n1 *n2 *n3

                 2   7   5   9   4   6         2   7   5   7   12
       + 1120*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   7   5   7   10   2           2   7   5   7   8   4
       + 690*a33 *m1 *m2 *n1 *n2  *n3  - 1456*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   7   6   6         2   7   5   5   14
       - 336*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2

                2   7   5   5   12   2          2   7   5   5   10   4
       + 262*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2  *n3

                 2   7   5   5   8   6         2   7   5   3   16
       - 1232*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   7   5   3   14   2          2   7   5   3   12   4
       - 108*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   3   10   6        2   6   6   16   3
       + 448*a33 *m1 *m2 *n1 *n2  *n3  - 2*a33 *m1 *m2 *n1  *n2

               2   6   6   14   5         2   6   6   14   3   2
       + 46*a33 *m1 *m2 *n1  *n2  - 60*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   12   7          2   6   6   12   5   2
       - 102*a33 *m1 *m2 *n1  *n2  + 522*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   12   3   4          2   6   6   10   9
       - 336*a33 *m1 *m2 *n1  *n2 *n3  - 150*a33 *m1 *m2 *n1  *n2

                2   6   6   10   7   2           2   6   6   10   5   4
       - 298*a33 *m1 *m2 *n1  *n2 *n3  + 1456*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   10   3   6          2   6   6   8   11
       - 448*a33 *m1 *m2 *n1  *n2 *n3  + 150*a33 *m1 *m2 *n1 *n2

                 2   6   6   8   9   2          2   6   6   8   7   4
       - 1060*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   6   8   5   6          2   6   6   6   13
       + 1232*a33 *m1 *m2 *n1 *n2 *n3  + 102*a33 *m1 *m2 *n1 *n2

                2   6   6   6   11   2           2   6   6   6   9   4
       + 192*a33 *m1 *m2 *n1 *n2  *n3  - 1680*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   6   7   6         2   6   6   4   15
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 46*a33 *m1 *m2 *n1 *n2

                2   6   6   4   13   2          2   6   6   4   11   4
       + 326*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   6   4   9   6        2   6   6   2   17
       - 1120*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

               2   6   6   2   15   2          2   6   6   2   13   4
       - 46*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   2   11   6         2   5   7   15   4
       + 224*a33 *m1 *m2 *n1 *n2  *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   5   7   13   6          2   5   7   13   4   2
       + 80*a33 *m1 *m2 *n1  *n2  - 150*a33 *m1 *m2 *n1  *n2 *n3

               2   5   7   11   8          2   5   7   11   6   2
       - 10*a33 *m1 *m2 *n1  *n2  + 570*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   11   4   4          2   5   7   9   10
       - 560*a33 *m1 *m2 *n1  *n2 *n3  - 200*a33 *m1 *m2 *n1 *n2

                2   5   7   9   8   2           2   5   7   9   6   4
       + 340*a33 *m1 *m2 *n1 *n2 *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   9   4   6         2   5   7   7   12
       - 560*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                2   5   7   7   10   2           2   5   7   7   8   4
       - 788*a33 *m1 *m2 *n1 *n2  *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   7   6   6         2   5   7   5   14
       + 784*a33 *m1 *m2 *n1 *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2

                2   5   7   5   12   2          2   5   7   5   10   4
       - 234*a33 *m1 *m2 *n1 *n2  *n3  - 896*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   5   8   6         2   5   7   3   16
       + 672*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

                2   5   7   3   14   2          2   5   7   3   12   4
       + 166*a33 *m1 *m2 *n1 *n2  *n3  - 176*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   3   10   6        2   5   7      16   2
       - 608*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1*n2  *n3

               2   5   7      14   4         2   5   7      12   6
       + 48*a33 *m1 *m2 *n1*n2  *n3  + 64*a33 *m1 *m2 *n1*n2  *n3

               2   4   8   14   5         2   4   8   12   7
       - 20*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2

                2   4   8   12   5   2         2   4   8   10   9
       - 200*a33 *m1 *m2 *n1  *n2 *n3  + 80*a33 *m1 *m2 *n1  *n2

                2   4   8   10   7   2          2   4   8   10   5   4
       + 270*a33 *m1 *m2 *n1  *n2 *n3  - 560*a33 *m1 *m2 *n1  *n2 *n3

               2   4   8   8   11          2   4   8   8   9   2
       - 80*a33 *m1 *m2 *n1 *n2   + 542*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   8   7   4          2   4   8   8   5   6
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - 448*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   6   13          2   4   8   6   11   2
       - 60*a33 *m1 *m2 *n1 *n2   - 164*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   6   9   4          2   4   8   6   7   6
       + 896*a33 *m1 *m2 *n1 *n2 *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   4   15          2   4   8   4   13   2
       + 20*a33 *m1 *m2 *n1 *n2   - 204*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   4   11   4          2   4   8   4   9   6
       - 128*a33 *m1 *m2 *n1 *n2  *n3  + 480*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   2   15   2          2   4   8   2   13   4
       + 32*a33 *m1 *m2 *n1 *n2  *n3  - 120*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   2   11   6        2   4   8   15   4
       - 184*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n2  *n3

              2   4   8   13   6         2   3   9   13   6
       + 8*a33 *m1 *m2 *n2  *n3  - 20*a33 *m1 *m2 *n1  *n2

               2   3   9   11   8          2   3   9   11   6   2
       + 10*a33 *m1 *m2 *n1  *n2  - 150*a33 *m1 *m2 *n1  *n2 *n3

               2   3   9   9   10         2   3   9   9   8   2
       + 60*a33 *m1 *m2 *n1 *n2   - 18*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   9   6   4         2   3   9   7   12
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 10*a33 *m1 *m2 *n1 *n2

                2   3   9   7   10   2          2   3   9   7   8   4
       + 256*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   7   6   6         2   3   9   5   14
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   3   9   5   12   2          2   3   9   5   10   4
       + 76*a33 *m1 *m2 *n1 *n2  *n3  + 320*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   5   8   6         2   3   9   3   14   2
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   3   12   4          2   3   9   3   10   6
       + 72*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9      14   4         2   3   9      12   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 24*a33 *m1 *m2 *n1*n2  *n3

               2   2   10   12   7         2   2   10   10   9
       - 10*a33 *m1 *m2  *n1  *n2  - 10*a33 *m1 *m2  *n1  *n2

               2   2   10   10   7   2         2   2   10   8   11
       - 60*a33 *m1 *m2  *n1  *n2 *n3  + 10*a33 *m1 *m2  *n1 *n2

               2   2   10   8   9   2          2   2   10   8   7   4
       - 66*a33 *m1 *m2  *n1 *n2 *n3  - 112*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   6   13         2   2   10   6   11   2
       + 10*a33 *m1 *m2  *n1 *n2   + 26*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   6   9   4         2   2   10   6   7   6
       - 112*a33 *m1 *m2  *n1 *n2 *n3  - 64*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   4   13   2         2   2   10   4   11   4
       + 32*a33 *m1 *m2  *n1 *n2  *n3  + 24*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   4   9   6         2   2   10   2   13   4
       - 40*a33 *m1 *m2  *n1 *n2 *n3  + 24*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   2   11   6        2      11   11   8
       + 24*a33 *m1 *m2  *n1 *n2  *n3  - 2*a33 *m1*m2  *n1  *n2

              2      11   9   10         2      11   9   8   2
       - 4*a33 *m1*m2  *n1 *n2   - 10*a33 *m1*m2  *n1 *n2 *n3

              2      11   7   12         2      11   7   10   2
       - 2*a33 *m1*m2  *n1 *n2   - 18*a33 *m1*m2  *n1 *n2  *n3

               2      11   7   8   4        2      11   5   12   2
       - 16*a33 *m1*m2  *n1 *n2 *n3  - 8*a33 *m1*m2  *n1 *n2  *n3

               2      11   5   10   4        2      11   5   8   6
       - 24*a33 *m1*m2  *n1 *n2  *n3  - 8*a33 *m1*m2  *n1 *n2 *n3

              2      11   3   12   4        2      11   3   10   6
       - 8*a33 *m1*m2  *n1 *n2  *n3  - 8*a33 *m1*m2  *n1 *n2  *n3 ) + u2*v1*(

              11   12   7   2           11   12   5   4
      2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   12   3   6           11   8   11   2
       + 8*a33*m1  *n1  *n2 *n3  - 2*a33*m1  *n1 *n2  *n3

                 11   8   9   4           11   8   7   6
       + 8*a33*m1  *n1 *n2 *n3  - 8*a33*m1  *n1 *n2 *n3

                 10      13   8            10      13   6   2
       + 2*a33*m1  *m2*n1  *n2  - 18*a33*m1  *m2*n1  *n2 *n3

                  10      13   4   4            10      13   2   6
       + 40*a33*m1  *m2*n1  *n2 *n3  - 24*a33*m1  *m2*n1  *n2 *n3

                 10      11   10           10      11   8   2
       + 2*a33*m1  *m2*n1  *n2   + 4*a33*m1  *m2*n1  *n2 *n3

                  10      11   6   4            10      11   4   6
       - 48*a33*m1  *m2*n1  *n2 *n3  + 64*a33*m1  *m2*n1  *n2 *n3

                 10      9   12            10      9   10   2
       - 2*a33*m1  *m2*n1 *n2   + 18*a33*m1  *m2*n1 *n2  *n3

                  10      9   8   4            10      9   6   6
       - 40*a33*m1  *m2*n1 *n2 *n3  + 24*a33*m1  *m2*n1 *n2 *n3

                 10      7   14           10      7   12   2
       - 2*a33*m1  *m2*n1 *n2   - 4*a33*m1  *m2*n1 *n2  *n3

                  10      7   10   4            10      7   8   6
       + 48*a33*m1  *m2*n1 *n2  *n3  - 64*a33*m1  *m2*n1 *n2 *n3

                  9   2   14   7            9   2   14   5   2
       - 10*a33*m1 *m2 *n1  *n2  + 52*a33*m1 *m2 *n1  *n2 *n3

                  9   2   14   3   4            9   2   14      6
       - 72*a33*m1 *m2 *n1  *n2 *n3  + 24*a33*m1 *m2 *n1  *n2*n3

                  9   2   12   7   2             9   2   12   5   4
       - 76*a33*m1 *m2 *n1  *n2 *n3  + 256*a33*m1 *m2 *n1  *n2 *n3

                   9   2   12   3   6            9   2   10   11
       - 192*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1  *n2

                  9   2   10   9   2            9   2   10   7   4
       - 70*a33*m1 *m2 *n1  *n2 *n3  - 40*a33*m1 *m2 *n1  *n2 *n3

                   9   2   10   5   6            9   2   8   11   2
       + 200*a33*m1 *m2 *n1  *n2 *n3  + 76*a33*m1 *m2 *n1 *n2  *n3

                   9   2   8   9   4             9   2   8   7   6
       - 256*a33*m1 *m2 *n1 *n2 *n3  + 192*a33*m1 *m2 *n1 *n2 *n3

                  9   2   6   15            9   2   6   13   2
       - 10*a33*m1 *m2 *n1 *n2   + 18*a33*m1 *m2 *n1 *n2  *n3

                   9   2   6   11   4             9   2   6   9   6
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  8   3   15   6            8   3   15   4   2
       + 20*a33*m1 *m2 *n1  *n2  - 68*a33*m1 *m2 *n1  *n2 *n3

                  8   3   15   2   4           8   3   15   6
       + 56*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n3

                  8   3   13   8             8   3   13   6   2
       - 30*a33*m1 *m2 *n1  *n2  + 264*a33*m1 *m2 *n1  *n2 *n3

                   8   3   13   4   4             8   3   13   2   6
       - 480*a33*m1 *m2 *n1  *n2 *n3  + 192*a33*m1 *m2 *n1  *n2 *n3

                  8   3   11   10            8   3   11   8   2
       - 50*a33*m1 *m2 *n1  *n2   - 10*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   6   4             8   3   11   4   6
       + 616*a33*m1 *m2 *n1  *n2 *n3  - 664*a33*m1 *m2 *n1  *n2 *n3

                  8   3   9   12             8   3   9   10   2
       + 50*a33*m1 *m2 *n1 *n2   - 344*a33*m1 *m2 *n1 *n2  *n3

                   8   3   9   8   4             8   3   9   6   6
       + 368*a33*m1 *m2 *n1 *n2 *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                  8   3   7   14            8   3   7   12   2
       + 30*a33*m1 *m2 *n1 *n2   + 78*a33*m1 *m2 *n1 *n2  *n3

                   8   3   7   10   4             8   3   7   8   6
       - 672*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  8   3   5   16            8   3   5   14   2
       - 20*a33*m1 *m2 *n1 *n2   + 80*a33*m1 *m2 *n1 *n2  *n3

                   8   3   5   12   4             8   3   5   10   6
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                  7   4   16   5            7   4   16   3   2
       - 20*a33*m1 *m2 *n1  *n2  + 42*a33*m1 *m2 *n1  *n2 *n3

                  7   4   16      4            7   4   14   7
       - 16*a33*m1 *m2 *n1  *n2*n3  + 80*a33*m1 *m2 *n1  *n2

                   7   4   14   5   2             7   4   14   3   4
       - 376*a33*m1 *m2 *n1  *n2 *n3  + 384*a33*m1 *m2 *n1  *n2 *n3

                  7   4   14      6            7   4   12   9
       - 64*a33*m1 *m2 *n1  *n2*n3  + 20*a33*m1 *m2 *n1  *n2

                   7   4   12   7   2              7   4   12   5   4
       + 450*a33*m1 *m2 *n1  *n2 *n3  - 1328*a33*m1 *m2 *n1  *n2 *n3

                   7   4   12   3   6             7   4   10   11
       + 672*a33*m1 *m2 *n1  *n2 *n3  - 160*a33*m1 *m2 *n1  *n2

                   7   4   10   9   2             7   4   10   7   4
       + 496*a33*m1 *m2 *n1  *n2 *n3  + 512*a33*m1 *m2 *n1  *n2 *n3

                    7   4   10   5   6            7   4   8   13
       - 1280*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                   7   4   8   11   2              7   4   8   9   4
       - 622*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                   7   4   8   7   6            7   4   6   15
       - 112*a33*m1 *m2 *n1 *n2 *n3  + 80*a33*m1 *m2 *n1 *n2

                   7   4   6   13   2             7   4   6   11   4
       - 120*a33*m1 *m2 *n1 *n2  *n3  - 896*a33*m1 *m2 *n1 *n2  *n3

                    7   4   6   9   6            7   4   4   17
       + 1344*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   7   4   4   15   2             7   4   4   11   6
       + 130*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2  *n3

                  6   5   17   4            6   5   17   2   2
       + 10*a33*m1 *m2 *n1  *n2  - 10*a33*m1 *m2 *n1  *n2 *n3

                  6   5   15   6             6   5   15   4   2
       - 90*a33*m1 *m2 *n1  *n2  + 244*a33*m1 *m2 *n1  *n2 *n3

                   6   5   15   2   4            6   5   13   8
       - 112*a33*m1 *m2 *n1  *n2 *n3  + 90*a33*m1 *m2 *n1  *n2

                   6   5   13   6   2              6   5   13   4   4
       - 818*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                   6   5   13   2   6             6   5   11   10
       - 224*a33*m1 *m2 *n1  *n2 *n3  + 190*a33*m1 *m2 *n1  *n2

                  6   5   11   8   2              6   5   11   6   4
       + 76*a33*m1 *m2 *n1  *n2 *n3  - 1904*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   4   6             6   5   9   12
       + 1344*a33*m1 *m2 *n1  *n2 *n3  - 190*a33*m1 *m2 *n1 *n2

                    6   5   9   10   2             6   5   9   8   4
       + 1198*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                    6   5   9   6   6            6   5   7   14
       - 1456*a33*m1 *m2 *n1 *n2 *n3  - 90*a33*m1 *m2 *n1 *n2

                   6   5   7   12   2              6   5   7   10   4
       - 428*a33*m1 *m2 *n1 *n2  *n3  + 2128*a33*m1 *m2 *n1 *n2  *n3

                   6   5   7   8   6            6   5   5   16
       - 896*a33*m1 *m2 *n1 *n2 *n3  + 90*a33*m1 *m2 *n1 *n2

                   6   5   5   14   2             6   5   5   12   4
       - 370*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2  *n3

                    6   5   5   10   6            6   5   3   18
       + 1680*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1 *n2

                   6   5   3   16   2             6   5   3   14   4
       + 108*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   6   5   3   12   6           5   6   18   3
       - 448*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1  *n2

                  5   6   16   5            5   6   16   3   2
       + 48*a33*m1 *m2 *n1  *n2  - 60*a33*m1 *m2 *n1  *n2 *n3

                   5   6   14   7             5   6   14   5   2
       - 148*a33*m1 *m2 *n1  *n2  + 582*a33*m1 *m2 *n1  *n2 *n3

                   5   6   14   3   4            5   6   12   9
       - 336*a33*m1 *m2 *n1  *n2 *n3  - 48*a33*m1 *m2 *n1  *n2

                   5   6   12   7   2              5   6   12   5   4
       - 820*a33*m1 *m2 *n1  *n2 *n3  + 1792*a33*m1 *m2 *n1  *n2 *n3

                   5   6   12   3   6             5   6   10   11
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 300*a33*m1 *m2 *n1  *n2

                   5   6   10   9   2              5   6   10   7   4
       - 762*a33*m1 *m2 *n1  *n2 *n3  - 1344*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   5   6            5   6   8   13
       + 1680*a33*m1 *m2 *n1  *n2 *n3  - 48*a33*m1 *m2 *n1 *n2

                    5   6   8   11   2              5   6   8   9   4
       + 1252*a33*m1 *m2 *n1 *n2  *n3  - 1792*a33*m1 *m2 *n1 *n2 *n3

                   5   6   8   7   6             5   6   6   15
       - 896*a33*m1 *m2 *n1 *n2 *n3  - 148*a33*m1 *m2 *n1 *n2

                   5   6   6   13   2              5   6   6   11   4
       + 134*a33*m1 *m2 *n1 *n2  *n3  + 1792*a33*m1 *m2 *n1 *n2  *n3

                    5   6   6   9   6            5   6   4   17
       - 1456*a33*m1 *m2 *n1 *n2 *n3  + 48*a33*m1 *m2 *n1 *n2

                   5   6   4   15   2              5   6   4   11   6
       - 372*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2  *n3

                 5   6   2   19            5   6   2   17   2
       - 2*a33*m1 *m2 *n1 *n2   + 46*a33*m1 *m2 *n1 *n2  *n3

                   5   6   2   15   4             5   6   2   13   6
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                  4   7   17   4            4   7   15   6
       - 10*a33*m1 *m2 *n1  *n2  + 90*a33*m1 *m2 *n1  *n2

                   4   7   15   4   2            4   7   13   8
       - 150*a33*m1 *m2 *n1  *n2 *n3  - 90*a33*m1 *m2 *n1  *n2

                   4   7   13   6   2             4   7   13   4   4
       + 720*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   4   7   11   10             4   7   11   8   2
       - 190*a33*m1 *m2 *n1  *n2   - 230*a33*m1 *m2 *n1  *n2 *n3

                    4   7   11   6   4             4   7   11   4   6
       + 1680*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   4   7   9   12              4   7   9   10   2
       + 190*a33*m1 *m2 *n1 *n2   - 1128*a33*m1 *m2 *n1 *n2  *n3

                   4   7   9   8   4              4   7   9   6   6
       - 112*a33*m1 *m2 *n1 *n2 *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                  4   7   7   14             4   7   7   12   2
       + 90*a33*m1 *m2 *n1 *n2   + 554*a33*m1 *m2 *n1 *n2  *n3

                    4   7   7   10   4             4   7   7   8   6
       - 1904*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

                  4   7   5   16             4   7   5   14   2
       - 90*a33*m1 *m2 *n1 *n2   + 400*a33*m1 *m2 *n1 *n2  *n3

                   4   7   5   12   4              4   7   5   10   6
       + 720*a33*m1 *m2 *n1 *n2  *n3  - 1280*a33*m1 *m2 *n1 *n2  *n3

                  4   7   3   18             4   7   3   16   2
       + 10*a33*m1 *m2 *n1 *n2   - 174*a33*m1 *m2 *n1 *n2  *n3

                   4   7   3   14   4             4   7   3   12   6
       + 224*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                 4   7      18   2            4   7      16   4
       + 8*a33*m1 *m2 *n1*n2  *n3  - 48*a33*m1 *m2 *n1*n2  *n3

                  4   7      14   6            3   8   16   5
       - 64*a33*m1 *m2 *n1*n2  *n3  - 20*a33*m1 *m2 *n1  *n2

                  3   8   14   7             3   8   14   5   2
       + 80*a33*m1 *m2 *n1  *n2  - 200*a33*m1 *m2 *n1  *n2 *n3

                  3   8   12   9             3   8   12   7   2
       + 20*a33*m1 *m2 *n1  *n2  + 470*a33*m1 *m2 *n1  *n2 *n3

                   3   8   12   5   4             3   8   10   11
       - 560*a33*m1 *m2 *n1  *n2 *n3  - 160*a33*m1 *m2 *n1  *n2

                   3   8   10   9   2             3   8   10   7   4
       + 272*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   5   6            3   8   8   13
       - 448*a33*m1 *m2 *n1  *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                   3   8   8   11   2             3   8   8   9   4
       - 706*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                   3   8   8   7   6            3   8   6   15
       + 672*a33*m1 *m2 *n1 *n2 *n3  + 80*a33*m1 *m2 *n1 *n2

                  3   8   6   13   2              3   8   6   11   4
       - 40*a33*m1 *m2 *n1 *n2  *n3  - 1024*a33*m1 *m2 *n1 *n2  *n3

                   3   8   6   9   6            3   8   4   17
       + 256*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   3   8   4   15   2           3   8   4   13   4
       + 236*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1 *n2  *n3

                   3   8   4   11   6            3   8   2   17   2
       - 664*a33*m1 *m2 *n1 *n2  *n3  - 32*a33*m1 *m2 *n1 *n2  *n3

                   3   8   2   15   4             3   8   2   13   6
       + 128*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2  *n3

                 3   8   17   4           3   8   15   6
       - 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                  2   9   15   6            2   9   13   8
       - 20*a33*m1 *m2 *n1  *n2  + 30*a33*m1 *m2 *n1  *n2

                   2   9   13   6   2            2   9   11   10
       - 150*a33*m1 *m2 *n1  *n2 *n3  + 50*a33*m1 *m2 *n1  *n2

                   2   9   11   8   2             2   9   11   6   4
       + 132*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  2   9   9   12             2   9   9   10   2
       - 50*a33*m1 *m2 *n1 *n2   + 274*a33*m1 *m2 *n1 *n2  *n3

                   2   9   9   8   4             2   9   9   6   6
       + 224*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  2   9   7   14             2   9   7   12   2
       - 30*a33*m1 *m2 *n1 *n2   - 180*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   10   4             2   9   7   8   6
       + 432*a33*m1 *m2 *n1 *n2  *n3  + 192*a33*m1 *m2 *n1 *n2 *n3

                  2   9   5   16             2   9   5   14   2
       + 20*a33*m1 *m2 *n1 *n2   - 124*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   12   4             2   9   5   10   6
       - 248*a33*m1 *m2 *n1 *n2  *n3  + 200*a33*m1 *m2 *n1 *n2  *n3

                  2   9   3   16   2            2   9   3   14   4
       + 48*a33*m1 *m2 *n1 *n2  *n3  - 96*a33*m1 *m2 *n1 *n2  *n3

                   2   9   3   12   6            2   9      16   4
       - 192*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  2   9      14   6               10   14   7
       + 24*a33*m1 *m2 *n1*n2  *n3  - 10*a33*m1*m2  *n1  *n2

                     10   12   7   2               10   10   11
       - 60*a33*m1*m2  *n1  *n2 *n3  + 20*a33*m1*m2  *n1  *n2

                    10   10   9   2                10   10   7   4
       - 6*a33*m1*m2  *n1  *n2 *n3  - 112*a33*m1*m2  *n1  *n2 *n3

                     10   8   11   2               10   8   7   6
       + 92*a33*m1*m2  *n1 *n2  *n3  - 64*a33*m1*m2  *n1 *n2 *n3

                     10   6   15              10   6   13   2
       - 10*a33*m1*m2  *n1 *n2   + 6*a33*m1*m2  *n1 *n2  *n3

                      10   6   11   4               10   6   9   6
       + 136*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2 *n3

                     10   4   15   2               10   4   11   6
       - 32*a33*m1*m2  *n1 *n2  *n3  + 64*a33*m1*m2  *n1 *n2  *n3

                     10   2   15   4               10   2   13   6
       - 24*a33*m1*m2  *n1 *n2  *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                 11   13   8           11   11   10            11   11   8   2
       - 2*a33*m2  *n1  *n2  - 2*a33*m2  *n1  *n2   - 10*a33*m2  *n1  *n2 *n3

                 11   9   12           11   9   10   2            11   9   8   4
       + 2*a33*m2  *n1 *n2   - 8*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2 *n3

                 11   7   14            11   7   12   2
       + 2*a33*m2  *n1 *n2   + 10*a33*m2  *n1 *n2  *n3

                 11   7   10   4           11   7   8   6
       - 8*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2 *n3

                 11   5   14   2            11   5   12   4
       + 8*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2  *n3

                 11   3   14   4           11   3   12   6         2
       + 8*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3 ) + u2*v3 *(

            2   12   10   7   2        2   12   10   5   4
       - a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

              2   12   10   3   6      2   12   8   9   2
       - 4*a33 *m1  *n1  *n2 *n3  - a33 *m1  *n1 *n2 *n3

              2   12   8   7   4        2   12   8   5   6
       + 4*a33 *m1  *n1 *n2 *n3  - 4*a33 *m1  *n1 *n2 *n3

            2   11      11   8        2   11      11   6   2
       - a33 *m1  *m2*n1  *n2  + 8*a33 *m1  *m2*n1  *n2 *n3

               2   11      11   4   4        2   11      11   2   6
       - 16*a33 *m1  *m2*n1  *n2 *n3  + 8*a33 *m1  *m2*n1  *n2 *n3

              2   11      9   10        2   11      9   8   2
       - 2*a33 *m1  *m2*n1 *n2   + 6*a33 *m1  *m2*n1 *n2 *n3

              2   11      9   6   4         2   11      9   4   6
       + 8*a33 *m1  *m2*n1 *n2 *n3  - 24*a33 *m1  *m2*n1 *n2 *n3

            2   11      7   12        2   11      7   10   2
       - a33 *m1  *m2*n1 *n2   - 2*a33 *m1  *m2*n1 *n2  *n3

               2   11      7   8   4         2   11      7   6   6
       + 24*a33 *m1  *m2*n1 *n2 *n3  - 32*a33 *m1  *m2*n1 *n2 *n3

              2   10   2   12   7         2   10   2   12   5   2
       + 4*a33 *m1  *m2 *n1  *n2  - 18*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   12   3   4        2   10   2   12      6
       + 20*a33 *m1  *m2 *n1  *n2 *n3  - 4*a33 *m1  *m2 *n1  *n2*n3

              2   10   2   10   9         2   10   2   10   7   2
       + 3*a33 *m1  *m2 *n1  *n2  + 17*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   10   5   4         2   10   2   10   3   6
       - 80*a33 *m1  *m2 *n1  *n2 *n3  + 56*a33 *m1  *m2 *n1  *n2 *n3

              2   10   2   8   11         2   10   2   8   9   2
       - 6*a33 *m1  *m2 *n1 *n2   + 44*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   8   7   4         2   10   2   8   5   6
       - 44*a33 *m1  *m2 *n1 *n2 *n3  - 52*a33 *m1  *m2 *n1 *n2 *n3

              2   10   2   6   13        2   10   2   6   11   2
       - 5*a33 *m1  *m2 *n1 *n2   + 9*a33 *m1  *m2 *n1 *n2  *n3

               2   10   2   6   9   4          2   10   2   6   7   6
       + 56*a33 *m1  *m2 *n1 *n2 *n3  - 112*a33 *m1  *m2 *n1 *n2 *n3

              2   9   3   13   6         2   9   3   13   4   2
       - 6*a33 *m1 *m2 *n1  *n2  + 16*a33 *m1 *m2 *n1  *n2 *n3

              2   9   3   13   2   4        2   9   3   11   8
       - 8*a33 *m1 *m2 *n1  *n2 *n3  + 7*a33 *m1 *m2 *n1  *n2

               2   9   3   11   6   2          2   9   3   11   4   4
       - 72*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   11   2   6         2   9   3   9   10
       - 24*a33 *m1 *m2 *n1  *n2 *n3  + 22*a33 *m1 *m2 *n1 *n2

               2   9   3   9   8   2          2   9   3   9   6   4
       - 42*a33 *m1 *m2 *n1 *n2 *n3  - 136*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   9   4   6      2   9   3   7   12
       + 168*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   9   3   7   10   2          2   9   3   7   8   4
       + 86*a33 *m1 *m2 *n1 *n2  *n3  - 200*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   7   6   6         2   9   3   5   14
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   9   3   5   12   2         2   9   3   5   10   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   9   3   5   8   6        2   8   4   14   5
       - 224*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1  *n2

              2   8   4   14   3   2         2   8   4   12   7
       - 5*a33 *m1 *m2 *n1  *n2 *n3  - 18*a33 *m1 *m2 *n1  *n2

               2   8   4   12   5   2         2   8   4   12   3   4
       + 69*a33 *m1 *m2 *n1  *n2 *n3  - 36*a33 *m1 *m2 *n1  *n2 *n3

              2   8   4   12      6         2   8   4   10   9
       - 4*a33 *m1 *m2 *n1  *n2*n3  - 13*a33 *m1 *m2 *n1  *n2

               2   8   4   10   7   2          2   8   4   10   5   4
       - 88*a33 *m1 *m2 *n1  *n2 *n3  + 252*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   10   3   6         2   8   4   8   11
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 34*a33 *m1 *m2 *n1 *n2

                2   8   4   8   9   2         2   8   4   8   7   4
       - 173*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   8   5   6         2   8   4   6   13
       + 288*a33 *m1 *m2 *n1 *n2 *n3  + 15*a33 *m1 *m2 *n1 *n2

               2   8   4   6   11   2          2   8   4   6   9   4
       + 54*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   6   7   6         2   8   4   4   15
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   8   4   4   13   2          2   8   4   4   9   6
       + 65*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

            2   7   5   15   4         2   7   5   13   6
       - a33 *m1 *m2 *n1  *n2  + 12*a33 *m1 *m2 *n1  *n2

               2   7   5   13   4   2        2   7   5   13   2   4
       - 14*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   11   8          2   7   5   11   6   2
       - 13*a33 *m1 *m2 *n1  *n2  + 106*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   11   4   4         2   7   5   11   2   6
       - 40*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   9   10         2   7   5   9   8   2
       - 36*a33 *m1 *m2 *n1 *n2   - 12*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   9   6   4         2   7   5   9   4   6
       + 304*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   7   12          2   7   5   7   10   2
       + 15*a33 *m1 *m2 *n1 *n2   - 212*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   7   8   4          2   7   5   7   6   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   5   14         2   7   5   5   12   2
       + 20*a33 *m1 *m2 *n1 *n2   - 26*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   5   10   4          2   7   5   5   8   6
       - 280*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   5   3   16         2   7   5   3   14   2
       - 5*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

               2   7   5   3   12   4          2   7   5   3   10   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

            2   6   6   14   5        2   6   6   14   3   2
       - a33 *m1 *m2 *n1  *n2  - 5*a33 *m1 *m2 *n1  *n2 *n3

              2   6   6   12   7         2   6   6   12   5   2
       + 8*a33 *m1 *m2 *n1  *n2  + 12*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   12   3   4      2   6   6   10   9
       - 56*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1  *n2

               2   6   6   10   7   2         2   6   6   10   5   4
       + 79*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   10   3   6         2   6   6   8   11
       - 112*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   6   6   8   9   2          2   6   6   8   7   4
       + 12*a33 *m1 *m2 *n1 *n2 *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

               2   6   6   8   5   6      2   6   6   6   13
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

                2   6   6   6   11   2          2   6   6   6   9   4
       - 117*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   6   7   6        2   6   6   4   15
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

               2   6   6   4   13   2          2   6   6   4   11   4
       - 44*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

               2   6   6   4   9   6      2   6   6   2   17
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   6   6   2   15   2         2   6   6   2   13   4
       + 23*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   2   11   6      2   5   7   15   4
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1  *n2

              2   5   7   13   6         2   5   7   13   4   2
       + 8*a33 *m1 *m2 *n1  *n2  - 30*a33 *m1 *m2 *n1  *n2 *n3

            2   5   7   11   8         2   5   7   11   6   2
       - a33 *m1 *m2 *n1  *n2  + 86*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   11   4   4         2   5   7   9   10
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   5   7   9   8   2          2   5   7   9   6   4
       + 96*a33 *m1 *m2 *n1 *n2 *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   9   4   6      2   5   7   7   12
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   5   7   7   10   2          2   5   7   7   8   4
       - 68*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   7   6   6        2   5   7   5   14
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

               2   5   7   5   12   2          2   5   7   5   8   6
       - 58*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

            2   5   7   3   16        2   5   7   3   14   2
       - a33 *m1 *m2 *n1 *n2   - 6*a33 *m1 *m2 *n1 *n2  *n3

               2   5   7   3   12   4         2   5   7   3   10   6
       - 24*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2  *n3

              2   5   7      16   2         2   5   7      14   4
       + 4*a33 *m1 *m2 *n1*n2  *n3  - 24*a33 *m1 *m2 *n1*n2  *n3

               2   5   7      12   6        2   4   8   14   5
       - 32*a33 *m1 *m2 *n1*n2  *n3  - 5*a33 *m1 *m2 *n1  *n2

               2   4   8   12   7         2   4   8   12   5   2
       + 20*a33 *m1 *m2 *n1  *n2  - 75*a33 *m1 *m2 *n1  *n2 *n3

               2   4   8   10   9          2   4   8   10   7   2
       + 15*a33 *m1 *m2 *n1  *n2  + 110*a33 *m1 *m2 *n1  *n2 *n3

                2   4   8   10   5   4         2   4   8   8   11
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 36*a33 *m1 *m2 *n1 *n2

                2   4   8   8   9   2          2   4   8   8   7   4
       + 191*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   8   5   6         2   4   8   6   13
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - 13*a33 *m1 *m2 *n1 *n2

               2   4   8   6   11   2          2   4   8   6   9   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3  + 392*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   6   7   6         2   4   8   4   15
       + 56*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

               2   4   8   4   13   2         2   4   8   4   11   4
       - 67*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   4   9   6      2   4   8   2   17
       + 288*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   4   8   2   15   2         2   4   8   2   13   4
       + 11*a33 *m1 *m2 *n1 *n2  *n3  - 20*a33 *m1 *m2 *n1 *n2  *n3

               2   4   8   2   11   6        2   4   8   15   4
       - 52*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

              2   4   8   13   6         2   3   9   13   6
       - 4*a33 *m1 *m2 *n2  *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   3   9   11   8          2   3   9   11   6   2
       + 15*a33 *m1 *m2 *n1  *n2  - 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   9   9   10         2   3   9   9   8   2
       + 34*a33 *m1 *m2 *n1 *n2   + 30*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   9   6   4         2   3   9   7   12
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - 13*a33 *m1 *m2 *n1 *n2

                2   3   9   7   10   2         2   3   9   7   8   4
       + 194*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   7   6   6         2   3   9   5   14
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 18*a33 *m1 *m2 *n1 *n2

               2   3   9   5   12   2          2   3   9   5   10   4
       + 12*a33 *m1 *m2 *n1 *n2  *n3  + 272*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   5   8   6        2   3   9   3   16
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2

               2   3   9   3   14   2         2   3   9   3   12   4
       - 48*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   3   10   6        2   3   9      16   2
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   9      14   4         2   3   9      12   6
       - 16*a33 *m1 *m2 *n1*n2  *n3  - 24*a33 *m1 *m2 *n1*n2  *n3

               2   2   10   12   7      2   2   10   10   9
       - 10*a33 *m1 *m2  *n1  *n2  - a33 *m1 *m2  *n1  *n2

               2   2   10   10   7   2         2   2   10   8   11
       - 75*a33 *m1 *m2  *n1  *n2 *n3  + 22*a33 *m1 *m2  *n1 *n2

               2   2   10   8   9   2          2   2   10   8   7   4
       - 44*a33 *m1 *m2  *n1 *n2 *n3  - 168*a33 *m1 *m2  *n1 *n2 *n3

              2   2   10   6   13         2   2   10   6   11   2
       + 7*a33 *m1 *m2  *n1 *n2   + 81*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   6   9   4          2   2   10   6   7   6
       - 120*a33 *m1 *m2  *n1 *n2 *n3  - 112*a33 *m1 *m2  *n1 *n2 *n3

              2   2   10   4   15         2   2   10   4   13   2
       - 6*a33 *m1 *m2  *n1 *n2   + 38*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   4   11   4         2   2   10   4   9   6
       + 84*a33 *m1 *m2  *n1 *n2  *n3  - 52*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   2   15   2         2   2   10   2   13   4
       - 12*a33 *m1 *m2  *n1 *n2  *n3  + 32*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   2   11   6        2   2   10   15   4
       + 56*a33 *m1 *m2  *n1 *n2  *n3  - 4*a33 *m1 *m2  *n2  *n3

              2   2   10   13   6        2      11   11   8
       - 4*a33 *m1 *m2  *n2  *n3  - 5*a33 *m1*m2  *n1  *n2

              2      11   9   10         2      11   9   8   2
       - 6*a33 *m1*m2  *n1 *n2   - 30*a33 *m1*m2  *n1 *n2 *n3

              2      11   7   12         2      11   7   10   2
       + 3*a33 *m1*m2  *n1 *n2   - 38*a33 *m1*m2  *n1 *n2  *n3

               2      11   7   8   4        2      11   5   14
       - 56*a33 *m1*m2  *n1 *n2 *n3  + 4*a33 *m1*m2  *n1 *n2

              2      11   5   12   2         2      11   5   10   4
       + 4*a33 *m1*m2  *n1 *n2  *n3  - 64*a33 *m1*m2  *n1 *n2  *n3

               2      11   5   8   6         2      11   3   14   2
       - 32*a33 *m1*m2  *n1 *n2 *n3  + 12*a33 *m1*m2  *n1 *n2  *n3

               2      11   3   10   6        2      11      14   4
       - 24*a33 *m1*m2  *n1 *n2  *n3  + 8*a33 *m1*m2  *n1*n2  *n3

              2      11      12   6      2   12   10   9        2   12   8   11
       + 8*a33 *m1*m2  *n1*n2  *n3  - a33 *m2  *n1  *n2  - 2*a33 *m2  *n1 *n2

              2   12   8   9   2      2   12   6   13        2   12   6   11   2
       - 5*a33 *m2  *n1 *n2 *n3  - a33 *m2  *n1 *n2   - 9*a33 *m2  *n1 *n2  *n3

              2   12   6   9   4        2   12   4   13   2
       - 8*a33 *m2  *n1 *n2 *n3  - 4*a33 *m2  *n1 *n2  *n3

               2   12   4   11   4        2   12   4   9   6
       - 12*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2 *n3

              2   12   2   13   4        2   12   2   11   6
       - 4*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3 ) + u2*v3*(

              11   11   7   3           11   11   5   5
      2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   11   3   7           11   9   9   3
       + 8*a33*m1  *n1  *n2 *n3  + 2*a33*m1  *n1 *n2 *n3

                 11   9   7   5           11   9   5   7
       - 8*a33*m1  *n1 *n2 *n3  + 8*a33*m1  *n1 *n2 *n3

                 10      12   8               10      12   6   3
       + 2*a33*m1  *m2*n1  *n2 *n3 - 16*a33*m1  *m2*n1  *n2 *n3

                  10      12   4   5            10      12   2   7
       + 32*a33*m1  *m2*n1  *n2 *n3  - 16*a33*m1  *m2*n1  *n2 *n3

                 10      10   10               10      10   8   3
       + 4*a33*m1  *m2*n1  *n2  *n3 - 10*a33*m1  *m2*n1  *n2 *n3

                  10      10   6   5            10      10   4   7
       - 24*a33*m1  *m2*n1  *n2 *n3  + 56*a33*m1  *m2*n1  *n2 *n3

                 10      8   12              10      8   10   3
       + 2*a33*m1  *m2*n1 *n2  *n3 + 6*a33*m1  *m2*n1 *n2  *n3

                  10      8   8   5            10      8   6   7
       - 56*a33*m1  *m2*n1 *n2 *n3  + 72*a33*m1  *m2*n1 *n2 *n3

                 9   2   13   7               9   2   13   5   3
       - 8*a33*m1 *m2 *n1  *n2 *n3 + 36*a33*m1 *m2 *n1  *n2 *n3

                  9   2   13   3   5           9   2   13      7
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n2*n3

                 9   2   11   9               9   2   11   7   3
       - 4*a33*m1 *m2 *n1  *n2 *n3 - 52*a33*m1 *m2 *n1  *n2 *n3

                   9   2   11   5   5             9   2   11   3   7
       + 200*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                  9   2   9   11                9   2   9   9   3
       + 16*a33*m1 *m2 *n1 *n2  *n3 - 102*a33*m1 *m2 *n1 *n2 *n3

                  9   2   9   7   5             9   2   9   5   7
       + 80*a33*m1 *m2 *n1 *n2 *n3  + 144*a33*m1 *m2 *n1 *n2 *n3

                  9   2   7   13               9   2   7   11   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 14*a33*m1 *m2 *n1 *n2  *n3

                   9   2   7   9   5             9   2   7   7   7
       - 160*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                  8   3   14   6               8   3   14   4   3
       + 12*a33*m1 *m2 *n1  *n2 *n3 - 32*a33*m1 *m2 *n1  *n2 *n3

                  8   3   14   2   5            8   3   12   8
       + 16*a33*m1 *m2 *n1  *n2 *n3  - 24*a33*m1 *m2 *n1  *n2 *n3

                   8   3   12   6   3             8   3   12   4   5
       + 196*a33*m1 *m2 *n1  *n2 *n3  - 296*a33*m1 *m2 *n1  *n2 *n3

                  8   3   12   2   7            8   3   10   10
       + 72*a33*m1 *m2 *n1  *n2 *n3  - 54*a33*m1 *m2 *n1  *n2  *n3

                  8   3   10   8   3             8   3   10   6   5
       + 60*a33*m1 *m2 *n1  *n2 *n3  + 456*a33*m1 *m2 *n1  *n2 *n3

                   8   3   10   4   7            8   3   8   12
       - 504*a33*m1 *m2 *n1  *n2 *n3  + 12*a33*m1 *m2 *n1 *n2  *n3

                   8   3   8   10   3             8   3   8   8   5
       - 266*a33*m1 *m2 *n1 *n2  *n3  + 544*a33*m1 *m2 *n1 *n2 *n3

                  8   3   8   6   7            8   3   6   14
       + 96*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2  *n3

                  8   3   6   12   3             8   3   6   10   5
       - 98*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                   8   3   6   8   7           7   4   15   5
       + 672*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2 *n3

                  7   4   15   3   3            7   4   13   7
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                   7   4   13   5   3             7   4   13   3   5
       - 206*a33*m1 *m2 *n1  *n2 *n3  + 128*a33*m1 *m2 *n1  *n2 *n3

                  7   4   11   9                7   4   11   7   3
       + 16*a33*m1 *m2 *n1  *n2 *n3 + 372*a33*m1 *m2 *n1  *n2 *n3

                   7   4   11   5   5             7   4   11   3   7
       - 928*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                   7   4   9   11                7   4   9   9   3
       - 128*a33*m1 *m2 *n1 *n2  *n3 + 532*a33*m1 *m2 *n1 *n2 *n3

                   7   4   9   7   5              7   4   9   5   7
       + 288*a33*m1 *m2 *n1 *n2 *n3  - 1056*a33*m1 *m2 *n1 *n2 *n3

                  7   4   7   13                7   4   7   11   3
       - 40*a33*m1 *m2 *n1 *n2  *n3 - 266*a33*m1 *m2 *n1 *n2  *n3

                    7   4   7   9   5             7   4   7   7   7
       + 1232*a33*m1 *m2 *n1 *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  7   4   5   15                7   4   5   13   3
       + 40*a33*m1 *m2 *n1 *n2  *n3 - 210*a33*m1 *m2 *n1 *n2  *n3

                   7   4   5   11   5              7   4   5   9   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                 6   5   16   4               6   5   14   6
       + 2*a33*m1 *m2 *n1  *n2 *n3 - 44*a33*m1 *m2 *n1  *n2 *n3

                  6   5   14   4   3            6   5   12   8
       + 70*a33*m1 *m2 *n1  *n2 *n3  + 86*a33*m1 *m2 *n1  *n2 *n3

                   6   5   12   6   3             6   5   12   4   5
       - 546*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   10                6   5   10   8   3
       + 152*a33*m1 *m2 *n1  *n2  *n3 + 140*a33*m1 *m2 *n1  *n2 *n3

                    6   5   10   6   5             6   5   10   4   7
       - 1568*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                   6   5   8   12                 6   5   8   10   3
       - 110*a33*m1 *m2 *n1 *n2  *n3 + 1036*a33*m1 *m2 *n1 *n2  *n3

                   6   5   8   8   5              6   5   8   6   7
       - 672*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                   6   5   6   14               6   5   6   12   3
       - 100*a33*m1 *m2 *n1 *n2  *n3 + 42*a33*m1 *m2 *n1 *n2  *n3

                    6   5   6   10   5              6   5   6   8   7
       + 1456*a33*m1 *m2 *n1 *n2  *n3  - 1008*a33*m1 *m2 *n1 *n2 *n3

                  6   5   4   16                6   5   4   14   3
       + 30*a33*m1 *m2 *n1 *n2  *n3 - 238*a33*m1 *m2 *n1 *n2  *n3

                   6   5   4   12   5              6   5   4   10   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2  *n3

                  5   6   15   5               5   6   13   7
       + 12*a33*m1 *m2 *n1  *n2 *n3 - 96*a33*m1 *m2 *n1  *n2 *n3

                   5   6   13   5   3            5   6   11   9
       + 210*a33*m1 *m2 *n1  *n2 *n3  + 12*a33*m1 *m2 *n1  *n2 *n3

                   5   6   11   7   3             5   6   11   5   5
       - 742*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                   5   6   9   11                5   6   9   9   3
       + 240*a33*m1 *m2 *n1 *n2  *n3 - 532*a33*m1 *m2 *n1 *n2 *n3

                    5   6   9   7   5              5   6   9   5   7
       - 1456*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   6   7   13                5   6   7   11   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 + 924*a33*m1 *m2 *n1 *n2  *n3

                    5   6   7   9   5              5   6   7   7   7
       - 1680*a33*m1 *m2 *n1 *n2 *n3  - 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   6   5   15                5   6   5   13   3
       - 96*a33*m1 *m2 *n1 *n2  *n3 + 350*a33*m1 *m2 *n1 *n2  *n3

                   5   6   5   11   5              5   6   5   9   7
       + 896*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                  5   6   3   17                5   6   3   15   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 154*a33*m1 *m2 *n1 *n2  *n3

                   5   6   3   13   5             5   6   3   11   7
       + 224*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                  4   7   14   6                4   7   12   8
       + 30*a33*m1 *m2 *n1  *n2 *n3 - 100*a33*m1 *m2 *n1  *n2 *n3

                   4   7   12   6   3             4   7   10   10
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 110*a33*m1 *m2 *n1  *n2  *n3

                   4   7   10   8   3              4   7   10   6   5
       - 490*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                   4   7   8   12                4   7   8   10   3
       + 152*a33*m1 *m2 *n1 *n2  *n3 - 924*a33*m1 *m2 *n1 *n2  *n3

                   4   7   8   8   5              4   7   8   6   7
       - 560*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  4   7   6   14                4   7   6   12   3
       + 86*a33*m1 *m2 *n1 *n2  *n3 + 308*a33*m1 *m2 *n1 *n2  *n3

                    4   7   6   10   5             4   7   6   8   7
       - 1680*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  4   7   4   16                4   7   4   14   3
       - 44*a33*m1 *m2 *n1 *n2  *n3 + 338*a33*m1 *m2 *n1 *n2  *n3

                   4   7   4   12   5              4   7   4   10   7
       + 160*a33*m1 *m2 *n1 *n2  *n3  - 1056*a33*m1 *m2 *n1 *n2  *n3

                 4   7   2   18               4   7   2   16   3
       + 2*a33*m1 *m2 *n1 *n2  *n3 - 54*a33*m1 *m2 *n1 *n2  *n3

                   4   7   2   14   5             4   7   2   12   7
       + 160*a33*m1 *m2 *n1 *n2  *n3  + 288*a33*m1 *m2 *n1 *n2  *n3

                  3   8   13   7               3   8   11   9
       + 40*a33*m1 *m2 *n1  *n2 *n3 - 40*a33*m1 *m2 *n1  *n2 *n3

                   3   8   11   7   3             3   8   9   11
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1 *n2  *n3

                  3   8   9   9   3             3   8   9   7   5
       - 42*a33*m1 *m2 *n1 *n2 *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                  3   8   7   13                3   8   7   11   3
       + 16*a33*m1 *m2 *n1 *n2  *n3 - 644*a33*m1 *m2 *n1 *n2  *n3

                   3   8   7   9   5             3   8   7   7   7
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  3   8   5   15                3   8   5   13   3
       + 56*a33*m1 *m2 *n1 *n2  *n3 - 100*a33*m1 *m2 *n1 *n2  *n3

                   3   8   5   11   5            3   8   5   9   7
       - 864*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                 3   8   3   17                3   8   3   15   3
       - 8*a33*m1 *m2 *n1 *n2  *n3 + 144*a33*m1 *m2 *n1 *n2  *n3

                   3   8   3   13   5             3   8   3   11   7
       - 136*a33*m1 *m2 *n1 *n2  *n3  - 504*a33*m1 *m2 *n1 *n2  *n3

                 3   8      17   3            3   8      15   5
       - 8*a33*m1 *m2 *n1*n2  *n3  + 56*a33*m1 *m2 *n1*n2  *n3

                  3   8      13   7            2   9   12   8
       + 72*a33*m1 *m2 *n1*n2  *n3  + 30*a33*m1 *m2 *n1  *n2 *n3

                  2   9   10   10                2   9   10   8   3
       + 12*a33*m1 *m2 *n1  *n2  *n3 + 210*a33*m1 *m2 *n1  *n2 *n3

                  2   9   8   12                2   9   8   10   3
       - 54*a33*m1 *m2 *n1 *n2  *n3 + 154*a33*m1 *m2 *n1 *n2  *n3

                   2   9   8   8   5            2   9   6   14
       + 448*a33*m1 *m2 *n1 *n2 *n3  - 24*a33*m1 *m2 *n1 *n2  *n3

                   2   9   6   12   3             2   9   6   10   5
       - 188*a33*m1 *m2 *n1 *n2  *n3  + 352*a33*m1 *m2 *n1 *n2  *n3

                   2   9   6   8   7            2   9   4   16
       + 288*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2  *n3

                   2   9   4   14   3             2   9   4   12   5
       - 108*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2  *n3

                   2   9   4   10   7            2   9   2   16   3
       + 144*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1 *n2  *n3

                  2   9   2   14   5             2   9   2   12   7
       - 88*a33*m1 *m2 *n1 *n2  *n3  - 136*a33*m1 *m2 *n1 *n2  *n3

                 2   9   16   5           2   9   14   7
       + 8*a33*m1 *m2 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

                     10   11   9                  10   9   11
       + 12*a33*m1*m2  *n1  *n2 *n3 + 16*a33*m1*m2  *n1 *n2  *n3

                     10   9   9   3              10   7   13
       + 70*a33*m1*m2  *n1 *n2 *n3  - 4*a33*m1*m2  *n1 *n2  *n3

                     10   7   11   3                10   7   9   5
       + 94*a33*m1*m2  *n1 *n2  *n3  + 128*a33*m1*m2  *n1 *n2 *n3

                    10   5   15                   10   5   11   5
       - 8*a33*m1*m2  *n1 *n2  *n3 + 152*a33*m1*m2  *n1 *n2  *n3

                     10   5   9   7               10   3   15   3
       + 72*a33*m1*m2  *n1 *n2 *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                    10   3   13   5               10   3   11   7
       + 8*a33*m1*m2  *n1 *n2  *n3  + 56*a33*m1*m2  *n1 *n2  *n3

                     10      15   5               10      13   7
       - 16*a33*m1*m2  *n1*n2  *n3  - 16*a33*m1*m2  *n1*n2  *n3

                 11   10   10              11   8   12
       + 2*a33*m2  *n1  *n2  *n3 + 4*a33*m2  *n1 *n2  *n3

                  11   8   10   3           11   6   14
       + 10*a33*m2  *n1 *n2  *n3  + 2*a33*m2  *n1 *n2  *n3

                  11   6   12   3            11   6   10   5
       + 18*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2  *n3

                 11   4   14   3            11   4   12   5
       + 8*a33*m2  *n1 *n2  *n3  + 24*a33*m2  *n1 *n2  *n3

                 11   4   10   7           11   2   14   5
       + 8*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   2   12   7             10   14   7   2
       + 8*a33*m2  *n1 *n2  *n3 ) + u2*( - m1  *n1  *n2 *n3

             10   14   5   4       10   14   3   6       10   12   9   2
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - 2*m1  *n1  *n2 *n3

             10   12   7   4        10   12   5   6       10   12   3   8
       + 9*m1  *n1  *n2 *n3  - 12*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

           10   10   11   2       10   10   9   4        10   10   7   6
       - m1  *n1  *n2  *n3  + 6*m1  *n1  *n2 *n3  - 12*m1  *n1  *n2 *n3

             10   10   5   8     10   8   11   4       10   8   9   6
       + 8*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2 *n3

             10   8   7   8     9      15   8       9      15   6   2
       + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2  + 8*m1 *m2*n1  *n2 *n3

              9      15   4   4       9      15   2   6       9      13   10
       - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2 *n3  - 3*m1 *m2*n1  *n2

              9      13   8   2        9      13   6   4       9      13   2   8
       + 15*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  - 8*m1 *m2*n1  *n2 *n3

             9      11   12       9      11   10   2        9      11   8   4
       - 3*m1 *m2*n1  *n2   + 7*m1 *m2*n1  *n2  *n3  + 18*m1 *m2*n1  *n2 *n3

              9      11   6   6        9      11   4   8     9      9   14
       - 48*m1 *m2*n1  *n2 *n3  + 16*m1 *m2*n1  *n2 *n3  - m1 *m2*n1 *n2

           9      9   12   2        9      9   10   4        9      9   8   6
       + m1 *m2*n1 *n2  *n3  + 20*m1 *m2*n1 *n2  *n3  - 64*m1 *m2*n1 *n2 *n3

              9      9   6   8     9      7   14   2       9      7   12   4
       + 56*m1 *m2*n1 *n2 *n3  + m1 *m2*n1 *n2  *n3  + 2*m1 *m2*n1 *n2  *n3

              9      7   10   6        9      7   8   8       8   2   16   7
       - 24*m1 *m2*n1 *n2  *n3  + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2

              8   2   16   5   2        8   2   16   3   4
       - 18*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2 *n3

             8   2   16      6       8   2   14   9       8   2   14   7   2
       - 4*m1 *m2 *n1  *n2*n3  + 7*m1 *m2 *n1  *n2  - 4*m1 *m2 *n1  *n2 *n3

              8   2   14   5   4        8   2   14   3   6
       - 46*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2 *n3

             8   2   14      8       8   2   12   11        8   2   12   9   2
       + 4*m1 *m2 *n1  *n2*n3  - 3*m1 *m2 *n1  *n2   + 56*m1 *m2 *n1  *n2 *n3

               8   2   12   7   4        8   2   12   5   6
       - 132*m1 *m2 *n1  *n2 *n3  + 76*m1 *m2 *n1  *n2 *n3

              8   2   12   3   8        8   2   10   13
       - 56*m1 *m2 *n1  *n2 *n3  - 11*m1 *m2 *n1  *n2

              8   2   10   11   2        8   2   10   9   4
       + 57*m1 *m2 *n1  *n2  *n3  - 55*m1 *m2 *n1  *n2 *n3

              8   2   10   7   6        8   2   10   5   8       8   2   8   15
       - 28*m1 *m2 *n1  *n2 *n3  - 12*m1 *m2 *n1  *n2 *n3  - 5*m1 *m2 *n1 *n2

              8   2   8   13   2       8   2   8   11   4
       + 20*m1 *m2 *n1 *n2  *n3  + 2*m1 *m2 *n1 *n2  *n3

               8   2   8   9   6         8   2   8   7   8
       - 120*m1 *m2 *n1 *n2 *n3  + 160*m1 *m2 *n1 *n2 *n3

             8   2   6   15   2       8   2   6   13   4
       + 5*m1 *m2 *n1 *n2  *n3  - 9*m1 *m2 *n1 *n2  *n3

              8   2   6   11   6         8   2   6   9   8       7   3   17   6
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1  *n2

              7   3   17   4   2       7   3   17   2   4       7   3   15   8
       + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2 *n3  + 2*m1 *m2 *n1  *n2

              7   3   15   6   2         7   3   15   4   4
       - 58*m1 *m2 *n1  *n2 *n3  + 104*m1 *m2 *n1  *n2 *n3

              7   3   15   2   6        7   3   13   10
       - 24*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2

               7   3   13   8   2        7   3   13   6   4
       - 130*m1 *m2 *n1  *n2 *n3  + 48*m1 *m2 *n1  *n2 *n3

              7   3   13   4   6        7   3   13   2   8
       + 40*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2 *n3

              7   3   11   12       7   3   11   10   2
       + 24*m1 *m2 *n1  *n2   + 8*m1 *m2 *n1  *n2  *n3

               7   3   11   8   4         7   3   11   6   6
       - 240*m1 *m2 *n1  *n2 *n3  + 208*m1 *m2 *n1  *n2 *n3

               7   3   11   4   8        7   3   9   14
       - 160*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1 *n2

               7   3   9   12   2         7   3   9   10   4
       + 104*m1 *m2 *n1 *n2  *n3  - 208*m1 *m2 *n1 *n2  *n3

               7   3   9   8   6         7   3   9   6   8        7   3   7   16
       + 144*m1 *m2 *n1 *n2 *n3  - 192*m1 *m2 *n1 *n2 *n3  - 10*m1 *m2 *n1 *n2

              7   3   7   14   2        7   3   7   12   4
       + 50*m1 *m2 *n1 *n2  *n3  - 72*m1 *m2 *n1 *n2  *n3

              7   3   7   10   6         7   3   7   8   8
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2 *n3

              7   3   5   16   2        7   3   5   14   4
       + 10*m1 *m2 *n1 *n2  *n3  - 40*m1 *m2 *n1 *n2  *n3

              7   3   5   12   6         7   3   5   10   8       6   4   18   5
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n1  *n2

             6   4   18   3   2        6   4   16   7        6   4   16   5   2
       - 5*m1 *m2 *n1  *n2 *n3  - 18*m1 *m2 *n1  *n2  + 78*m1 *m2 *n1  *n2 *n3

              6   4   16   3   4        6   4   14   9     6   4   14   7   2
       - 51*m1 *m2 *n1  *n2 *n3  - 38*m1 *m2 *n1  *n2  - m1 *m2 *n1  *n2 *n3

               6   4   14   5   4        6   4   14   3   6
       + 198*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   12   11         6   4   12   9   2
       + 24*m1 *m2 *n1  *n2   - 286*m1 *m2 *n1  *n2 *n3

               6   4   12   7   4        6   4   12   5   6
       + 355*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

               6   4   12   3   8        6   4   10   13
       + 112*m1 *m2 *n1  *n2 *n3  + 60*m1 *m2 *n1  *n2

               6   4   10   11   2        6   4   10   9   4
       - 197*m1 *m2 *n1  *n2  *n3  - 68*m1 *m2 *n1  *n2 *n3

               6   4   10   7   6         6   4   10   5   8
       + 168*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              6   4   8   15        6   4   8   13   2
       + 10*m1 *m2 *n1 *n2   + 50*m1 *m2 *n1 *n2  *n3

               6   4   8   11   4         6   4   8   9   6
       - 219*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2 *n3

               6   4   8   7   8        6   4   6   17        6   4   6   15   2
       - 504*m1 *m2 *n1 *n2 *n3  - 10*m1 *m2 *n1 *n2   + 55*m1 *m2 *n1 *n2  *n3

               6   4   6   13   4         6   4   6   11   6
       - 110*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

               6   4   6   9   8        6   4   4   17   2
       + 112*m1 *m2 *n1 *n2 *n3  + 10*m1 *m2 *n1 *n2  *n3

              6   4   4   15   4         6   4   4   11   8     5   5   19   4
       - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2

              5   5   17   6        5   5   17   4   2       5   5   15   8
       + 17*m1 *m2 *n1  *n2  - 29*m1 *m2 *n1  *n2 *n3  - 3*m1 *m2 *n1  *n2

               5   5   15   6   2         5   5   15   4   4
       + 139*m1 *m2 *n1  *n2 *n3  - 138*m1 *m2 *n1  *n2 *n3

              5   5   13   10         5   5   13   8   2
       - 81*m1 *m2 *n1  *n2   + 225*m1 *m2 *n1  *n2 *n3

               5   5   13   6   4        5   5   13   4   6
       + 124*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              5   5   11   12         5   5   11   10   2
       - 45*m1 *m2 *n1  *n2   - 183*m1 *m2 *n1  *n2  *n3

               5   5   11   8   4         5   5   11   6   6
       + 562*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

               5   5   11   4   8        5   5   9   14
       + 224*m1 *m2 *n1  *n2 *n3  + 45*m1 *m2 *n1 *n2

               5   5   9   12   2         5   5   9   10   4
       - 321*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2  *n3

               5   5   9   8   6         5   5   9   6   8        5   5   7   16
       - 112*m1 *m2 *n1 *n2 *n3  - 112*m1 *m2 *n1 *n2 *n3  + 25*m1 *m2 *n1 *n2

              5   5   7   14   2        5   5   7   12   4
       - 57*m1 *m2 *n1 *n2  *n3  - 26*m1 *m2 *n1 *n2  *n3

               5   5   7   10   6         5   5   7   8   8       5   5   5   18
       + 112*m1 *m2 *n1 *n2  *n3  - 672*m1 *m2 *n1 *n2 *n3  - 5*m1 *m2 *n1 *n2

              5   5   5   16   2        5   5   5   14   4
       + 29*m1 *m2 *n1 *n2  *n3  - 44*m1 *m2 *n1 *n2  *n3

               5   5   5   12   6         5   5   5   10   8
       + 168*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2  *n3

             5   5   3   18   2        5   5   3   16   4
       + 5*m1 *m2 *n1 *n2  *n3  - 54*m1 *m2 *n1 *n2  *n3

              5   5   3   14   6         5   5   3   12   8       4   6   18   5
       + 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2

              4   6   16   7        4   6   16   5   2        4   6   14   9
       + 25*m1 *m2 *n1  *n2  - 70*m1 *m2 *n1  *n2 *n3  + 45*m1 *m2 *n1  *n2

              4   6   14   7   2         4   6   14   5   4
       + 85*m1 *m2 *n1  *n2 *n3  - 205*m1 *m2 *n1  *n2 *n3

              4   6   12   11         4   6   12   9   2
       - 45*m1 *m2 *n1  *n2   + 370*m1 *m2 *n1  *n2 *n3

               4   6   12   7   4        4   6   10   13
       - 110*m1 *m2 *n1  *n2 *n3  - 81*m1 *m2 *n1  *n2

               4   6   10   11   2         4   6   10   9   4
       + 113*m1 *m2 *n1  *n2  *n3  + 369*m1 *m2 *n1  *n2 *n3

               4   6   10   7   6         4   6   10   5   8
       - 112*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

             4   6   8   15         4   6   8   13   2
       - 3*m1 *m2 *n1 *n2   - 190*m1 *m2 *n1 *n2  *n3

               4   6   8   11   4         4   6   8   9   6
       + 324*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2 *n3

               4   6   8   7   8        4   6   6   17        4   6   6   15   2
       + 112*m1 *m2 *n1 *n2 *n3  + 17*m1 *m2 *n1 *n2   - 83*m1 *m2 *n1 *n2  *n3

               4   6   6   13   4         4   6   6   11   6
       + 103*m1 *m2 *n1 *n2  *n3  - 168*m1 *m2 *n1 *n2  *n3

               4   6   6   9   8     4   6   4   19       4   6   4   17   2
       - 504*m1 *m2 *n1 *n2 *n3  - m1 *m2 *n1 *n2   + 6*m1 *m2 *n1 *n2  *n3

              4   6   4   15   4        4   6   4   13   6
       + 30*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   4   11   8     4   6   2   19   2
       - 224*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2  *n3

              4   6   2   17   4        4   6   2   15   6
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               4   6   2   13   8        3   7   17   6        3   7   15   8
       + 112*m1 *m2 *n1 *n2  *n3  - 10*m1 *m2 *n1  *n2  + 10*m1 *m2 *n1  *n2

              3   7   15   6   2        3   7   13   10
       - 90*m1 *m2 *n1  *n2 *n3  + 60*m1 *m2 *n1  *n2

              3   7   13   8   2         3   7   13   6   4
       - 50*m1 *m2 *n1  *n2 *n3  - 180*m1 *m2 *n1  *n2 *n3

              3   7   11   12         3   7   11   10   2
       + 24*m1 *m2 *n1  *n2   + 232*m1 *m2 *n1  *n2  *n3

               3   7   11   8   4        3   7   11   6   6
       - 240*m1 *m2 *n1  *n2 *n3  + 56*m1 *m2 *n1  *n2 *n3

              3   7   9   14         3   7   9   12   2
       - 38*m1 *m2 *n1 *n2   + 216*m1 *m2 *n1 *n2  *n3

              3   7   9   10   4        3   7   9   8   6
       + 44*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2 *n3

               3   7   9   6   8        3   7   7   16        3   7   7   14   2
       + 224*m1 *m2 *n1 *n2 *n3  - 18*m1 *m2 *n1 *n2   - 14*m1 *m2 *n1 *n2  *n3

               3   7   7   12   4         3   7   7   10   6
       + 128*m1 *m2 *n1 *n2  *n3  - 144*m1 *m2 *n1 *n2  *n3

               3   7   7   8   8       3   7   5   18        3   7   5   16   2
       + 224*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1 *n2   - 38*m1 *m2 *n1 *n2  *n3

              3   7   5   14   4         3   7   5   12   6
       + 60*m1 *m2 *n1 *n2  *n3  - 208*m1 *m2 *n1 *n2  *n3

               3   7   5   10   8        3   7   3   16   4
       - 192*m1 *m2 *n1 *n2  *n3  + 32*m1 *m2 *n1 *n2  *n3

              3   7   3   14   6         3   7   3   12   8
       - 40*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2  *n3

             3   7      18   4        3   7      16   6        3   7      14   8
       - 4*m1 *m2 *n1*n2  *n3  + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   8   16   7        2   8   14   9        2   8   14   7   2
       - 10*m1 *m2 *n1  *n2  - 10*m1 *m2 *n1  *n2  - 65*m1 *m2 *n1  *n2 *n3

              2   8   12   11         2   8   12   9   2
       + 24*m1 *m2 *n1  *n2   - 104*m1 *m2 *n1  *n2 *n3

              2   8   12   7   4        2   8   10   13
       - 93*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2

              2   8   10   11   2         2   8   10   9   4
       + 27*m1 *m2 *n1  *n2  *n3  - 166*m1 *m2 *n1  *n2 *n3

              2   8   10   7   6       2   8   8   15         2   8   8   13   2
       + 56*m1 *m2 *n1  *n2 *n3  + 2*m1 *m2 *n1 *n2   + 100*m1 *m2 *n1 *n2  *n3

              2   8   8   11   4         2   8   8   9   6
       - 67*m1 *m2 *n1 *n2  *n3  + 120*m1 *m2 *n1 *n2 *n3

               2   8   8   7   8       2   8   6   17        2   8   6   15   2
       + 112*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1 *n2   + 28*m1 *m2 *n1 *n2  *n3

              2   8   6   11   6         2   8   6   9   8
       + 28*m1 *m2 *n1 *n2  *n3  + 160*m1 *m2 *n1 *n2 *n3

             2   8   4   17   2       2   8   4   15   4
       - 6*m1 *m2 *n1 *n2  *n3  + 2*m1 *m2 *n1 *n2  *n3

              2   8   4   13   6        2   8   4   11   8
       - 76*m1 *m2 *n1 *n2  *n3  - 12*m1 *m2 *n1 *n2  *n3

             2   8   2   17   4        2   8   2   15   6
       + 8*m1 *m2 *n1 *n2  *n3  - 36*m1 *m2 *n1 *n2  *n3

              2   8   2   13   8       2   8   17   6       2   8   15   8
       - 56*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3  + 4*m1 *m2 *n2  *n3

                9   15   8           9   13   10           9   13   8   2
       - 5*m1*m2 *n1  *n2  - 11*m1*m2 *n1  *n2   - 25*m1*m2 *n1  *n2 *n3

                9   11   12           9   11   10   2           9   11   8   4
       - 3*m1*m2 *n1  *n2   - 57*m1*m2 *n1  *n2  *n3  - 26*m1*m2 *n1  *n2 *n3

                9   9   14           9   9   12   2           9   9   10   4
       + 7*m1*m2 *n1 *n2   - 31*m1*m2 *n1 *n2  *n3  - 52*m1*m2 *n1 *n2  *n3

                 9   9   8   6          9   7   16          9   7   14   2
       + 24*m1*m2 *n1 *n2 *n3  + 4*m1*m2 *n1 *n2   + 9*m1*m2 *n1 *n2  *n3

                 9   7   12   4           9   7   10   6           9   7   8   8
       - 30*m1*m2 *n1 *n2  *n3  + 64*m1*m2 *n1 *n2  *n3  + 32*m1*m2 *n1 *n2 *n3

                9   5   16   2          9   5   14   4           9   5   12   6
       + 8*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1 *n2  *n3  + 48*m1*m2 *n1 *n2  *n3

                 9   5   10   8          9   3   16   4           9   3   12   8
       + 56*m1*m2 *n1 *n2  *n3  - 4*m1*m2 *n1 *n2  *n3  + 16*m1*m2 *n1 *n2  *n3

                9      16   6          9      14   8     10   14   9
       - 8*m1*m2 *n1*n2  *n3  - 8*m1*m2 *n1*n2  *n3  - m2  *n1  *n2

             10   12   11       10   12   9   2       10   10   13
       - 3*m2  *n1  *n2   - 4*m2  *n1  *n2 *n3  - 3*m2  *n1  *n2

              10   10   11   2       10   10   9   4     10   8   15
       - 11*m2  *n1  *n2  *n3  - 3*m2  *n1  *n2 *n3  - m2  *n1 *n2

              10   8   13   2       10   8   11   4       10   8   9   6
       - 10*m2  *n1 *n2  *n3  - 6*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2 *n3

             10   6   15   2       10   6   13   4        10   6   11   6
       - 3*m2  *n1 *n2  *n3  - 3*m2  *n1 *n2  *n3  + 12*m2  *n1 *n2  *n3

             10   6   9   8        10   4   13   6       10   4   11   8
       + 4*m2  *n1 *n2 *n3  + 12*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2  *n3

             10   2   15   6       10   2   13   8      3
       + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3 ) + u3 *v3*(

           3   11   11   6   2        3   11   11   4   4
      2*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              3   11   11   2   6        3   11   9   8   2
       + 8*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2 *n3

              3   11   9   6   4        3   11   9   4   6
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              3   10      12   7         3   10      12   5   2
       + 2*a33 *m1  *m2*n1  *n2  - 16*a33 *m1  *m2*n1  *n2 *n3

               3   10      12   3   4         3   10      12      6
       + 32*a33 *m1  *m2*n1  *n2 *n3  - 16*a33 *m1  *m2*n1  *n2*n3

              3   10      10   9         3   10      10   7   2
       + 4*a33 *m1  *m2*n1  *n2  - 10*a33 *m1  *m2*n1  *n2 *n3

               3   10      10   5   4         3   10      10   3   6
       - 24*a33 *m1  *m2*n1  *n2 *n3  + 56*a33 *m1  *m2*n1  *n2 *n3

              3   10      8   11        3   10      8   9   2
       + 2*a33 *m1  *m2*n1 *n2   + 6*a33 *m1  *m2*n1 *n2 *n3

               3   10      8   7   4         3   10      8   5   6
       - 56*a33 *m1  *m2*n1 *n2 *n3  + 72*a33 *m1  *m2*n1 *n2 *n3

              3   9   2   13   6         3   9   2   13   4   2
       - 8*a33 *m1 *m2 *n1  *n2  + 36*a33 *m1 *m2 *n1  *n2 *n3

               3   9   2   13   2   4        3   9   2   13   6
       - 40*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n3

              3   9   2   11   8         3   9   2   11   6   2
       - 4*a33 *m1 *m2 *n1  *n2  - 52*a33 *m1 *m2 *n1  *n2 *n3

                3   9   2   11   4   4          3   9   2   11   2   6
       + 200*a33 *m1 *m2 *n1  *n2 *n3  - 136*a33 *m1 *m2 *n1  *n2 *n3

               3   9   2   9   10          3   9   2   9   8   2
       + 16*a33 *m1 *m2 *n1 *n2   - 102*a33 *m1 *m2 *n1 *n2 *n3

               3   9   2   9   6   4          3   9   2   9   4   6
       + 80*a33 *m1 *m2 *n1 *n2 *n3  + 144*a33 *m1 *m2 *n1 *n2 *n3

               3   9   2   7   12         3   9   2   7   10   2
       + 12*a33 *m1 *m2 *n1 *n2   - 14*a33 *m1 *m2 *n1 *n2  *n3

                3   9   2   7   8   4          3   9   2   7   6   6
       - 160*a33 *m1 *m2 *n1 *n2 *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

               3   8   3   14   5         3   8   3   14   3   2
       + 12*a33 *m1 *m2 *n1  *n2  - 32*a33 *m1 *m2 *n1  *n2 *n3

               3   8   3   14      4         3   8   3   12   7
       + 16*a33 *m1 *m2 *n1  *n2*n3  - 24*a33 *m1 *m2 *n1  *n2

                3   8   3   12   5   2          3   8   3   12   3   4
       + 196*a33 *m1 *m2 *n1  *n2 *n3  - 296*a33 *m1 *m2 *n1  *n2 *n3

               3   8   3   12      6         3   8   3   10   9
       + 72*a33 *m1 *m2 *n1  *n2*n3  - 54*a33 *m1 *m2 *n1  *n2

               3   8   3   10   7   2          3   8   3   10   5   4
       + 60*a33 *m1 *m2 *n1  *n2 *n3  + 456*a33 *m1 *m2 *n1  *n2 *n3

                3   8   3   10   3   6         3   8   3   8   11
       - 504*a33 *m1 *m2 *n1  *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

                3   8   3   8   9   2          3   8   3   8   7   4
       - 266*a33 *m1 *m2 *n1 *n2 *n3  + 544*a33 *m1 *m2 *n1 *n2 *n3

               3   8   3   8   5   6         3   8   3   6   13
       + 96*a33 *m1 *m2 *n1 *n2 *n3  + 30*a33 *m1 *m2 *n1 *n2

               3   8   3   6   11   2          3   8   3   6   9   4
       - 98*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

                3   8   3   6   7   6        3   7   4   15   4
       + 672*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2

               3   7   4   15   2   2         3   7   4   13   6
       + 10*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2

                3   7   4   13   4   2          3   7   4   13   2   4
       - 206*a33 *m1 *m2 *n1  *n2 *n3  + 128*a33 *m1 *m2 *n1  *n2 *n3

               3   7   4   11   8          3   7   4   11   6   2
       + 16*a33 *m1 *m2 *n1  *n2  + 372*a33 *m1 *m2 *n1  *n2 *n3

                3   7   4   11   4   4          3   7   4   11   2   6
       - 928*a33 *m1 *m2 *n1  *n2 *n3  + 288*a33 *m1 *m2 *n1  *n2 *n3

                3   7   4   9   10          3   7   4   9   8   2
       - 128*a33 *m1 *m2 *n1 *n2   + 532*a33 *m1 *m2 *n1 *n2 *n3

                3   7   4   9   6   4           3   7   4   9   4   6
       + 288*a33 *m1 *m2 *n1 *n2 *n3  - 1056*a33 *m1 *m2 *n1 *n2 *n3

               3   7   4   7   12          3   7   4   7   10   2
       - 40*a33 *m1 *m2 *n1 *n2   - 266*a33 *m1 *m2 *n1 *n2  *n3

                 3   7   4   7   8   4          3   7   4   7   6   6
       + 1232*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               3   7   4   5   14          3   7   4   5   12   2
       + 40*a33 *m1 *m2 *n1 *n2   - 210*a33 *m1 *m2 *n1 *n2  *n3

                3   7   4   5   10   4           3   7   4   5   8   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

              3   6   5   16   3         3   6   5   14   5
       + 2*a33 *m1 *m2 *n1  *n2  - 44*a33 *m1 *m2 *n1  *n2

               3   6   5   14   3   2         3   6   5   12   7
       + 70*a33 *m1 *m2 *n1  *n2 *n3  + 86*a33 *m1 *m2 *n1  *n2

                3   6   5   12   5   2          3   6   5   12   3   4
       - 546*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

                3   6   5   10   9          3   6   5   10   7   2
       + 152*a33 *m1 *m2 *n1  *n2  + 140*a33 *m1 *m2 *n1  *n2 *n3

                 3   6   5   10   5   4          3   6   5   10   3   6
       - 1568*a33 *m1 *m2 *n1  *n2 *n3  + 672*a33 *m1 *m2 *n1  *n2 *n3

                3   6   5   8   11           3   6   5   8   9   2
       - 110*a33 *m1 *m2 *n1 *n2   + 1036*a33 *m1 *m2 *n1 *n2 *n3

                3   6   5   8   7   4           3   6   5   8   5   6
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 1344*a33 *m1 *m2 *n1 *n2 *n3

                3   6   5   6   13         3   6   5   6   11   2
       - 100*a33 *m1 *m2 *n1 *n2   + 42*a33 *m1 *m2 *n1 *n2  *n3

                 3   6   5   6   9   4           3   6   5   6   7   6
       + 1456*a33 *m1 *m2 *n1 *n2 *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

               3   6   5   4   15          3   6   5   4   13   2
       + 30*a33 *m1 *m2 *n1 *n2   - 238*a33 *m1 *m2 *n1 *n2  *n3

                3   6   5   4   11   4           3   6   5   4   9   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

               3   5   6   15   4         3   5   6   13   6
       + 12*a33 *m1 *m2 *n1  *n2  - 96*a33 *m1 *m2 *n1  *n2

                3   5   6   13   4   2         3   5   6   11   8
       + 210*a33 *m1 *m2 *n1  *n2 *n3  + 12*a33 *m1 *m2 *n1  *n2

                3   5   6   11   6   2          3   5   6   11   4   4
       - 742*a33 *m1 *m2 *n1  *n2 *n3  + 896*a33 *m1 *m2 *n1  *n2 *n3

                3   5   6   9   10          3   5   6   9   8   2
       + 240*a33 *m1 *m2 *n1 *n2   - 532*a33 *m1 *m2 *n1 *n2 *n3

                 3   5   6   9   6   4           3   5   6   9   4   6
       - 1456*a33 *m1 *m2 *n1 *n2 *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

               3   5   6   7   12          3   5   6   7   10   2
       + 12*a33 *m1 *m2 *n1 *n2   + 924*a33 *m1 *m2 *n1 *n2  *n3

                 3   5   6   7   8   4           3   5   6   7   6   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  - 1008*a33 *m1 *m2 *n1 *n2 *n3

               3   5   6   5   14          3   5   6   5   12   2
       - 96*a33 *m1 *m2 *n1 *n2   + 350*a33 *m1 *m2 *n1 *n2  *n3

                3   5   6   5   10   4           3   5   6   5   8   6
       + 896*a33 *m1 *m2 *n1 *n2  *n3  - 1344*a33 *m1 *m2 *n1 *n2 *n3

               3   5   6   3   16          3   5   6   3   14   2
       + 12*a33 *m1 *m2 *n1 *n2   - 154*a33 *m1 *m2 *n1 *n2  *n3

                3   5   6   3   12   4          3   5   6   3   10   6
       + 224*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2  *n3

               3   4   7   14   5          3   4   7   12   7
       + 30*a33 *m1 *m2 *n1  *n2  - 100*a33 *m1 *m2 *n1  *n2

                3   4   7   12   5   2          3   4   7   10   9
       + 350*a33 *m1 *m2 *n1  *n2 *n3  - 110*a33 *m1 *m2 *n1  *n2

                3   4   7   10   7   2           3   4   7   10   5   4
       - 490*a33 *m1 *m2 *n1  *n2 *n3  + 1120*a33 *m1 *m2 *n1  *n2 *n3

                3   4   7   8   11          3   4   7   8   9   2
       + 152*a33 *m1 *m2 *n1 *n2   - 924*a33 *m1 *m2 *n1 *n2 *n3

                3   4   7   8   7   4           3   4   7   8   5   6
       - 560*a33 *m1 *m2 *n1 *n2 *n3  + 1008*a33 *m1 *m2 *n1 *n2 *n3

               3   4   7   6   13          3   4   7   6   11   2
       + 86*a33 *m1 *m2 *n1 *n2   + 308*a33 *m1 *m2 *n1 *n2  *n3

                 3   4   7   6   9   4          3   4   7   6   7   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               3   4   7   4   15          3   4   7   4   13   2
       - 44*a33 *m1 *m2 *n1 *n2   + 338*a33 *m1 *m2 *n1 *n2  *n3

                3   4   7   4   11   4           3   4   7   4   9   6
       + 160*a33 *m1 *m2 *n1 *n2  *n3  - 1056*a33 *m1 *m2 *n1 *n2 *n3

              3   4   7   2   17         3   4   7   2   15   2
       + 2*a33 *m1 *m2 *n1 *n2   - 54*a33 *m1 *m2 *n1 *n2  *n3

                3   4   7   2   13   4          3   4   7   2   11   6
       + 160*a33 *m1 *m2 *n1 *n2  *n3  + 288*a33 *m1 *m2 *n1 *n2  *n3

               3   3   8   13   6         3   3   8   11   8
       + 40*a33 *m1 *m2 *n1  *n2  - 40*a33 *m1 *m2 *n1  *n2

                3   3   8   11   6   2          3   3   8   9   10
       + 350*a33 *m1 *m2 *n1  *n2 *n3  - 128*a33 *m1 *m2 *n1 *n2

               3   3   8   9   8   2          3   3   8   9   6   4
       - 42*a33 *m1 *m2 *n1 *n2 *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

               3   3   8   7   12          3   3   8   7   10   2
       + 16*a33 *m1 *m2 *n1 *n2   - 644*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   7   8   4          3   3   8   7   6   6
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               3   3   8   5   14          3   3   8   5   12   2
       + 56*a33 *m1 *m2 *n1 *n2   - 100*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   5   10   4         3   3   8   5   8   6
       - 864*a33 *m1 *m2 *n1 *n2  *n3  + 96*a33 *m1 *m2 *n1 *n2 *n3

              3   3   8   3   16          3   3   8   3   14   2
       - 8*a33 *m1 *m2 *n1 *n2   + 144*a33 *m1 *m2 *n1 *n2  *n3

                3   3   8   3   12   4          3   3   8   3   10   6
       - 136*a33 *m1 *m2 *n1 *n2  *n3  - 504*a33 *m1 *m2 *n1 *n2  *n3

              3   3   8      16   2         3   3   8      14   4
       - 8*a33 *m1 *m2 *n1*n2  *n3  + 56*a33 *m1 *m2 *n1*n2  *n3

               3   3   8      12   6         3   2   9   12   7
       + 72*a33 *m1 *m2 *n1*n2  *n3  + 30*a33 *m1 *m2 *n1  *n2

               3   2   9   10   9          3   2   9   10   7   2
       + 12*a33 *m1 *m2 *n1  *n2  + 210*a33 *m1 *m2 *n1  *n2 *n3

               3   2   9   8   11          3   2   9   8   9   2
       - 54*a33 *m1 *m2 *n1 *n2   + 154*a33 *m1 *m2 *n1 *n2 *n3

                3   2   9   8   7   4         3   2   9   6   13
       + 448*a33 *m1 *m2 *n1 *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

                3   2   9   6   11   2          3   2   9   6   9   4
       - 188*a33 *m1 *m2 *n1 *n2  *n3  + 352*a33 *m1 *m2 *n1 *n2 *n3

                3   2   9   6   7   6         3   2   9   4   15
       + 288*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

                3   2   9   4   13   2          3   2   9   4   11   4
       - 108*a33 *m1 *m2 *n1 *n2  *n3  - 192*a33 *m1 *m2 *n1 *n2  *n3

                3   2   9   4   9   6         3   2   9   2   15   2
       + 144*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

               3   2   9   2   13   4          3   2   9   2   11   6
       - 88*a33 *m1 *m2 *n1 *n2  *n3  - 136*a33 *m1 *m2 *n1 *n2  *n3

              3   2   9   15   4        3   2   9   13   6
       + 8*a33 *m1 *m2 *n2  *n3  + 8*a33 *m1 *m2 *n2  *n3

               3      10   11   8         3      10   9   10
       + 12*a33 *m1*m2  *n1  *n2  + 16*a33 *m1*m2  *n1 *n2

               3      10   9   8   2        3      10   7   12
       + 70*a33 *m1*m2  *n1 *n2 *n3  - 4*a33 *m1*m2  *n1 *n2

               3      10   7   10   2          3      10   7   8   4
       + 94*a33 *m1*m2  *n1 *n2  *n3  + 128*a33 *m1*m2  *n1 *n2 *n3

              3      10   5   14          3      10   5   10   4
       - 8*a33 *m1*m2  *n1 *n2   + 152*a33 *m1*m2  *n1 *n2  *n3

               3      10   5   8   6         3      10   3   14   2
       + 72*a33 *m1*m2  *n1 *n2 *n3  - 24*a33 *m1*m2  *n1 *n2  *n3

              3      10   3   12   4         3      10   3   10   6
       + 8*a33 *m1*m2  *n1 *n2  *n3  + 56*a33 *m1*m2  *n1 *n2  *n3

               3      10      14   4         3      10      12   6
       - 16*a33 *m1*m2  *n1*n2  *n3  - 16*a33 *m1*m2  *n1*n2  *n3

              3   11   10   9        3   11   8   11         3   11   8   9   2
       + 2*a33 *m2  *n1  *n2  + 4*a33 *m2  *n1 *n2   + 10*a33 *m2  *n1 *n2 *n3

              3   11   6   13         3   11   6   11   2
       + 2*a33 *m2  *n1 *n2   + 18*a33 *m2  *n1 *n2  *n3

               3   11   6   9   4        3   11   4   13   2
       + 16*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

               3   11   4   11   4        3   11   4   9   6
       + 24*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2 *n3

              3   11   2   13   4        3   11   2   11   6      3
       + 8*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3 ) + u3 *(

            2   10   12   6   3        2   10   12   4   5
       - a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

              2   10   12   2   7        2   10   10   8   3
       - 4*a33 *m1  *n1  *n2 *n3  - 2*a33 *m1  *n1  *n2 *n3

              2   10   10   6   5        2   10   10   4   7
       + 8*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

            2   10   8   10   3        2   10   8   8   5
       - a33 *m1  *n1 *n2  *n3  + 4*a33 *m1  *n1 *n2 *n3

              2   10   8   6   7      2   9      13   7
       - 4*a33 *m1  *n1 *n2 *n3  - a33 *m1 *m2*n1  *n2 *n3

              2   9      13   5   3         2   9      13   3   5
       + 8*a33 *m1 *m2*n1  *n2 *n3  - 16*a33 *m1 *m2*n1  *n2 *n3

              2   9      13      7        2   9      11   9
       + 8*a33 *m1 *m2*n1  *n2*n3  - 3*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   7   3        2   9      11   5   5
       + 14*a33 *m1 *m2*n1  *n2 *n3  - 8*a33 *m1 *m2*n1  *n2 *n3

               2   9      11   3   7        2   9      9   11
       - 16*a33 *m1 *m2*n1  *n2 *n3  - 3*a33 *m1 *m2*n1 *n2  *n3

              2   9      9   9   3         2   9      9   7   5
       + 4*a33 *m1 *m2*n1 *n2 *n3  + 32*a33 *m1 *m2*n1 *n2 *n3

               2   9      9   5   7      2   9      7   13
       - 56*a33 *m1 *m2*n1 *n2 *n3  - a33 *m1 *m2*n1 *n2  *n3

              2   9      7   11   3         2   9      7   9   5
       - 2*a33 *m1 *m2*n1 *n2  *n3  + 24*a33 *m1 *m2*n1 *n2 *n3

               2   9      7   7   7        2   8   2   14   6
       - 32*a33 *m1 *m2*n1 *n2 *n3  + 4*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   14   4   3         2   8   2   14   2   5
       - 18*a33 *m1 *m2 *n1  *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   14   7        2   8   2   12   8
       - 4*a33 *m1 *m2 *n1  *n3  + 7*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   12   4   5         2   8   2   12   2   7
       - 64*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

              2   8   2   10   10            2   8   2   10   8   3
       - 3*a33 *m1 *m2 *n1  *n2  *n3 + 63*a33 *m1 *m2 *n1  *n2 *n3

                2   8   2   10   6   5         2   8   2   10   4   7
       - 132*a33 *m1 *m2 *n1  *n2 *n3  + 12*a33 *m1 *m2 *n1  *n2 *n3

               2   8   2   8   12            2   8   2   8   10   3
       - 11*a33 *m1 *m2 *n1 *n2  *n3 + 54*a33 *m1 *m2 *n1 *n2  *n3

              2   8   2   8   8   5          2   8   2   8   6   7
       + 8*a33 *m1 *m2 *n1 *n2 *n3  - 160*a33 *m1 *m2 *n1 *n2 *n3

              2   8   2   6   14           2   8   2   6   12   3
       - 5*a33 *m1 *m2 *n1 *n2  *n3 + 9*a33 *m1 *m2 *n1 *n2  *n3

               2   8   2   6   10   5          2   8   2   6   8   7
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   3   15   5            2   7   3   15   3   3
       - 6*a33 *m1 *m2 *n1  *n2 *n3 + 16*a33 *m1 *m2 *n1  *n2 *n3

              2   7   3   15      5        2   7   3   13   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  + 2*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13   5   3          2   7   3   13   3   5
       - 64*a33 *m1 *m2 *n1  *n2 *n3  + 120*a33 *m1 *m2 *n1  *n2 *n3

               2   7   3   13      7         2   7   3   11   9
       - 32*a33 *m1 *m2 *n1  *n2*n3  + 32*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   7   3         2   7   3   11   5   5
       - 128*a33 *m1 *m2 *n1  *n2 *n3  - 16*a33 *m1 *m2 *n1  *n2 *n3

                2   7   3   11   3   7         2   7   3   9   11
       + 160*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

               2   7   3   9   9   3          2   7   3   9   7   5
       + 40*a33 *m1 *m2 *n1 *n2 *n3  - 368*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   9   5   7         2   7   3   7   13
       + 192*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   7   11   3          2   7   3   7   9   5
       + 128*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2 *n3

                2   7   3   7   7   7         2   7   3   5   15
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2  *n3

               2   7   3   5   13   3         2   7   3   5   11   5
       + 40*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   3   5   9   7        2   6   4   16   4
       - 224*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1  *n2 *n3

              2   6   4   16   2   3         2   6   4   14   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  - 18*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   14   4   3         2   6   4   14   2   5
       + 82*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   12   8            2   6   4   12   6   3
       - 38*a33 *m1 *m2 *n1  *n2 *n3 - 19*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   12   4   5          2   6   4   12   2   7
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   10   10             2   6   4   10   8   3
       + 24*a33 *m1 *m2 *n1  *n2  *n3 - 324*a33 *m1 *m2 *n1  *n2 *n3

                2   6   4   10   6   5          2   6   4   10   4   7
       + 336*a33 *m1 *m2 *n1  *n2 *n3  + 224*a33 *m1 *m2 *n1  *n2 *n3

               2   6   4   8   12             2   6   4   8   10   3
       + 60*a33 *m1 *m2 *n1 *n2  *n3 - 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   8   8   5          2   6   4   8   6   7
       - 392*a33 *m1 *m2 *n1 *n2 *n3  + 504*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   6   14             2   6   4   6   12   3
       + 10*a33 *m1 *m2 *n1 *n2  *n3 + 110*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   6   10   5          2   6   4   6   8   7
       - 392*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

               2   6   4   4   16            2   6   4   4   14   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 + 65*a33 *m1 *m2 *n1 *n2  *n3

                2   6   4   4   10   7      2   5   5   17   3
       - 280*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1  *n2 *n3

               2   5   5   15   5            2   5   5   15   3   3
       + 17*a33 *m1 *m2 *n1  *n2 *n3 - 30*a33 *m1 *m2 *n1  *n2 *n3

              2   5   5   13   7             2   5   5   13   5   3
       - 3*a33 *m1 *m2 *n1  *n2 *n3 + 156*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   13   3   5         2   5   5   11   9
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 81*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   7   3          2   5   5   11   5   5
       + 222*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

                2   5   5   11   3   7         2   5   5   9   11
       - 224*a33 *m1 *m2 *n1  *n2 *n3  - 45*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   9   9   3          2   5   5   9   7   5
       - 264*a33 *m1 *m2 *n1 *n2 *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

                2   5   5   9   5   7         2   5   5   7   13
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 45*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   7   11   3          2   5   5   7   7   7
       - 366*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

               2   5   5   5   15            2   5   5   5   13   3
       + 25*a33 *m1 *m2 *n1 *n2  *n3 - 12*a33 *m1 *m2 *n1 *n2  *n3

                2   5   5   5   11   5          2   5   5   5   9   7
       - 392*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   5   5   3   17            2   5   5   3   15   3
       - 5*a33 *m1 *m2 *n1 *n2  *n3 + 54*a33 *m1 *m2 *n1 *n2  *n3

               2   5   5   3   13   5          2   5   5   3   11   7
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

              2   4   6   16   4            2   4   6   14   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3 + 25*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   14   4   3         2   4   6   12   8
       - 75*a33 *m1 *m2 *n1  *n2 *n3  + 45*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   12   6   3          2   4   6   12   4   5
       + 110*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   6   10   10             2   4   6   10   8   3
       - 45*a33 *m1 *m2 *n1  *n2  *n3 + 415*a33 *m1 *m2 *n1  *n2 *n3

                2   4   6   10   4   7         2   4   6   8   12
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 81*a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   8   10   3          2   4   6   8   8   5
       + 68*a33 *m1 *m2 *n1 *n2  *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   6   8   6   7        2   4   6   6   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 3*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   12   3          2   4   6   6   10   5
       - 271*a33 *m1 *m2 *n1 *n2  *n3  + 392*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   6   8   7         2   4   6   4   16
       + 504*a33 *m1 *m2 *n1 *n2 *n3  + 17*a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   4   14   3          2   4   6   4   12   5
       - 86*a33 *m1 *m2 *n1 *n2  *n3  - 168*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   4   10   7      2   4   6   2   18
       + 224*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1 *n2  *n3

               2   4   6   2   16   3         2   4   6   2   14   5
       + 23*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   4   6   2   12   7         2   3   7   15   5
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - 10*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   13   7             2   3   7   13   5   3
       + 10*a33 *m1 *m2 *n1  *n2 *n3 - 100*a33 *m1 *m2 *n1  *n2 *n3

               2   3   7   11   9            2   3   7   11   7   3
       + 60*a33 *m1 *m2 *n1  *n2 *n3 - 40*a33 *m1 *m2 *n1  *n2 *n3

                2   3   7   11   5   5         2   3   7   9   11
       - 280*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   9   9   3          2   3   7   9   7   5
       + 292*a33 *m1 *m2 *n1 *n2 *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   9   5   7         2   3   7   7   13
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 38*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   7   11   3          2   3   7   7   9   5
       + 240*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

                2   3   7   7   7   7         2   3   7   5   15
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 18*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   5   13   3          2   3   7   5   11   5
       - 52*a33 *m1 *m2 *n1 *n2  *n3  + 368*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   5   9   7        2   3   7   3   17
       + 192*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2  *n3

               2   3   7   3   15   3        2   3   7   3   13   5
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1 *n2  *n3

                2   3   7   3   11   7        2   3   7      17   3
       + 160*a33 *m1 *m2 *n1 *n2  *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

               2   3   7      15   5         2   3   7      13   7
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 32*a33 *m1 *m2 *n1*n2  *n3

               2   2   8   14   6            2   2   8   12   8
       - 10*a33 *m1 *m2 *n1  *n2 *n3 - 10*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   12   6   3         2   2   8   10   10
       - 75*a33 *m1 *m2 *n1  *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2  *n3

                2   2   8   10   8   3          2   2   8   10   6   5
       - 114*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   2   8   8   12            2   2   8   8   10   3
       + 32*a33 *m1 *m2 *n1 *n2  *n3 + 51*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   8   8   5          2   2   8   8   6   7
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   6   14             2   2   8   6   12   3
       + 2*a33 *m1 *m2 *n1 *n2  *n3 + 132*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   6   10   5          2   2   8   6   8   7
       - 16*a33 *m1 *m2 *n1 *n2  *n3  - 160*a33 *m1 *m2 *n1 *n2 *n3

              2   2   8   4   16            2   2   8   4   14   3
       - 6*a33 *m1 *m2 *n1 *n2  *n3 + 30*a33 *m1 *m2 *n1 *n2  *n3

                2   2   8   4   12   5         2   2   8   4   10   7
       + 132*a33 *m1 *m2 *n1 *n2  *n3  + 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   16   3         2   2   8   2   14   5
       - 12*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

               2   2   8   2   12   7        2   2   8   16   5
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

              2   2   8   14   7        2      9   13   7
       - 4*a33 *m1 *m2 *n2  *n3  - 5*a33 *m1*m2 *n1  *n2 *n3

               2      9   11   9            2      9   11   7   3
       - 11*a33 *m1*m2 *n1  *n2 *n3 - 30*a33 *m1*m2 *n1  *n2 *n3

              2      9   9   11            2      9   9   9   3
       - 3*a33 *m1*m2 *n1 *n2  *n3 - 68*a33 *m1*m2 *n1 *n2 *n3

               2      9   9   7   5        2      9   7   13
       - 56*a33 *m1*m2 *n1 *n2 *n3  + 7*a33 *m1*m2 *n1 *n2  *n3

               2      9   7   11   3          2      9   7   9   5
       - 34*a33 *m1*m2 *n1 *n2  *n3  - 120*a33 *m1*m2 *n1 *n2 *n3

               2      9   7   7   7        2      9   5   15
       - 32*a33 *m1*m2 *n1 *n2 *n3  + 4*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   13   3         2      9   5   11   5
       + 16*a33 *m1*m2 *n1 *n2  *n3  - 64*a33 *m1*m2 *n1 *n2  *n3

               2      9   5   9   7         2      9   3   15   3
       - 56*a33 *m1*m2 *n1 *n2 *n3  + 12*a33 *m1*m2 *n1 *n2  *n3

              2      9   3   13   5         2      9   3   11   7
       + 8*a33 *m1*m2 *n1 *n2  *n3  - 16*a33 *m1*m2 *n1 *n2  *n3

              2      9      15   5        2      9      13   7
       + 8*a33 *m1*m2 *n1*n2  *n3  + 8*a33 *m1*m2 *n1*n2  *n3

            2   10   12   8           2   10   10   10
       - a33 *m2  *n1  *n2 *n3 - 3*a33 *m2  *n1  *n2  *n3

              2   10   10   8   3        2   10   8   12
       - 5*a33 *m2  *n1  *n2 *n3  - 3*a33 *m2  *n1 *n2  *n3

               2   10   8   10   3        2   10   8   8   5
       - 14*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3

            2   10   6   14            2   10   6   12   3
       - a33 *m2  *n1 *n2  *n3 - 13*a33 *m2  *n1 *n2  *n3

               2   10   6   10   5        2   10   6   8   7
       - 20*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2 *n3

              2   10   4   14   3         2   10   4   12   5
       - 4*a33 *m2  *n1 *n2  *n3  - 16*a33 *m2  *n1 *n2  *n3

              2   10   4   10   7        2   10   2   14   5
       - 8*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3

              2   10   2   12   7      2        2   11   12   6   2
       - 4*a33 *m2  *n1 *n2  *n3 ) + u3 *v1*(a33 *m1  *n1  *n2 *n3

              2   11   12   4   4        2   11   12   2   6
       - 4*a33 *m1  *n1  *n2 *n3  + 4*a33 *m1  *n1  *n2 *n3

            2   11   8   10   2        2   11   8   8   4
       - a33 *m1  *n1 *n2  *n3  + 4*a33 *m1  *n1 *n2 *n3

              2   11   8   6   6      2   10      13   7
       - 4*a33 *m1  *n1 *n2 *n3  + a33 *m1  *m2*n1  *n2

              2   10      13   5   2         2   10      13   3   4
       - 8*a33 *m1  *m2*n1  *n2 *n3  + 16*a33 *m1  *m2*n1  *n2 *n3

              2   10      13      6      2   10      11   9
       - 8*a33 *m1  *m2*n1  *n2*n3  + a33 *m1  *m2*n1  *n2

              2   10      11   7   2         2   10      11   5   4
       + 4*a33 *m1  *m2*n1  *n2 *n3  - 32*a33 *m1  *m2*n1  *n2 *n3

               2   10      11   3   6      2   10      9   11
       + 40*a33 *m1  *m2*n1  *n2 *n3  - a33 *m1  *m2*n1 *n2

               2   10      9   9   2         2   10      9   7   4
       + 10*a33 *m1  *m2*n1 *n2 *n3  - 24*a33 *m1  *m2*n1 *n2 *n3

               2   10      9   5   6      2   10      7   13
       + 16*a33 *m1  *m2*n1 *n2 *n3  - a33 *m1  *m2*n1 *n2

              2   10      7   11   2         2   10      7   9   4
       - 2*a33 *m1  *m2*n1 *n2  *n3  + 24*a33 *m1  *m2*n1 *n2 *n3

               2   10      7   7   6        2   9   2   14   6
       - 32*a33 *m1  *m2*n1 *n2 *n3  - 4*a33 *m1 *m2 *n1  *n2

               2   9   2   14   4   2         2   9   2   14   2   4
       + 18*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1  *n2 *n3

              2   9   2   14   6        2   9   2   12   8
       + 4*a33 *m1 *m2 *n1  *n3  + 3*a33 *m1 *m2 *n1  *n2

               2   9   2   12   6   2          2   9   2   12   4   4
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 136*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   12   2   6         2   9   2   10   10
       - 80*a33 *m1 *m2 *n1  *n2 *n3  + 13*a33 *m1 *m2 *n1  *n2

               2   9   2   10   8   2         2   9   2   10   6   4
       - 39*a33 *m1 *m2 *n1  *n2 *n3  - 52*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   10   4   6      2   9   2   8   12
       + 156*a33 *m1 *m2 *n1  *n2 *n3  + a33 *m1 *m2 *n1 *n2

               2   9   2   8   10   2          2   9   2   8   8   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3  - 152*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   8   6   6        2   9   2   6   14
       + 128*a33 *m1 *m2 *n1 *n2 *n3  - 5*a33 *m1 *m2 *n1 *n2

              2   9   2   6   12   2         2   9   2   6   10   4
       + 9*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   6   8   6        2   8   3   15   5
       - 112*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

               2   8   3   15   3   2        2   8   3   15      4
       - 16*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n2*n3

               2   8   3   13   7          2   8   3   13   5   2
       - 22*a33 *m1 *m2 *n1  *n2  + 132*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   13   3   4         2   8   3   13      6
       - 176*a33 *m1 *m2 *n1  *n2 *n3  + 40*a33 *m1 *m2 *n1  *n2*n3

               2   8   3   11   9         2   8   3   11   7   2
       - 22*a33 *m1 *m2 *n1  *n2  - 68*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   11   5   4          2   8   3   11   3   6
       + 440*a33 *m1 *m2 *n1  *n2 *n3  - 344*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   9   11          2   8   3   9   9   2
       + 36*a33 *m1 *m2 *n1 *n2   - 226*a33 *m1 *m2 *n1 *n2 *n3

                2   8   3   9   7   4          2   8   3   9   5   6
       + 176*a33 *m1 *m2 *n1 *n2 *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   7   13         2   8   3   7   11   2
       + 20*a33 *m1 *m2 *n1 *n2   + 30*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   7   9   4          2   8   3   7   7   6
       - 392*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   5   15         2   8   3   5   13   2
       - 10*a33 *m1 *m2 *n1 *n2   + 40*a33 *m1 *m2 *n1 *n2  *n3

               2   8   3   5   11   4          2   8   3   5   9   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

              2   7   4   16   4        2   7   4   16   2   2
       - 4*a33 *m1 *m2 *n1  *n2  + 5*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   14   6          2   7   4   14   4   2
       + 38*a33 *m1 *m2 *n1  *n2  - 124*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   14   2   4         2   7   4   12   8
       + 72*a33 *m1 *m2 *n1  *n2 *n3  - 22*a33 *m1 *m2 *n1  *n2

                2   7   4   12   6   2          2   7   4   12   4   4
       + 353*a33 *m1 *m2 *n1  *n2 *n3  - 648*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   12   2   6          2   7   4   10   10
       + 176*a33 *m1 *m2 *n1  *n2 *n3  - 104*a33 *m1 *m2 *n1  *n2

                2   7   4   10   8   2          2   7   4   10   6   4
       + 208*a33 *m1 *m2 *n1  *n2 *n3  + 624*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   10   4   6         2   7   4   8   12
       - 832*a33 *m1 *m2 *n1  *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

                2   7   4   8   10   2          2   7   4   8   8   4
       - 439*a33 *m1 *m2 *n1 *n2  *n3  + 840*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   8   6   6         2   7   4   6   14
       + 168*a33 *m1 *m2 *n1 *n2 *n3  + 50*a33 *m1 *m2 *n1 *n2

                2   7   4   6   12   2          2   7   4   6   10   4
       - 100*a33 *m1 *m2 *n1 *n2  *n3  - 504*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   6   8   6         2   7   4   4   16
       + 896*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   7   4   4   14   2          2   7   4   4   10   6
       + 65*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2  *n3

            2   6   5   17   3         2   6   5   15   5
       + a33 *m1 *m2 *n1  *n2  - 27*a33 *m1 *m2 *n1  *n2

               2   6   5   15   3   2         2   6   5   13   7
       + 40*a33 *m1 *m2 *n1  *n2 *n3  + 83*a33 *m1 *m2 *n1  *n2

                2   6   5   13   5   2          2   6   5   13   3   4
       - 390*a33 *m1 *m2 *n1  *n2 *n3  + 280*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   11   9          2   6   5   11   7   2
       + 71*a33 *m1 *m2 *n1  *n2  + 362*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   5   11   5   4          2   6   5   11   3   6
       - 1288*a33 *m1 *m2 *n1  *n2 *n3  + 448*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   9   11          2   6   5   9   9   2
       - 155*a33 *m1 *m2 *n1 *n2   + 772*a33 *m1 *m2 *n1 *n2 *n3

                2   6   5   9   7   4           2   6   5   9   5   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 1232*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   7   13          2   6   5   7   11   2
       - 55*a33 *m1 *m2 *n1 *n2   - 324*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   7   9   4          2   6   5   7   7   6
       + 1456*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   5   15          2   6   5   5   13   2
       + 55*a33 *m1 *m2 *n1 *n2   - 250*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   5   11   4           2   6   5   5   9   6
       - 280*a33 *m1 *m2 *n1 *n2  *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

              2   6   5   3   17         2   6   5   3   15   2
       - 5*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

               2   6   5   3   13   4          2   6   5   3   11   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

              2   5   6   16   4         2   5   6   14   6
       + 7*a33 *m1 *m2 *n1  *n2  - 71*a33 *m1 *m2 *n1  *n2

                2   5   6   14   4   2         2   5   6   12   8
       + 135*a33 *m1 *m2 *n1  *n2 *n3  + 57*a33 *m1 *m2 *n1  *n2

                2   5   6   12   6   2          2   5   6   12   4   4
       - 632*a33 *m1 *m2 *n1  *n2 *n3  + 616*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   10   10          2   5   6   10   8   2
       + 195*a33 *m1 *m2 *n1  *n2   - 117*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   10   6   4          2   5   6   10   4   6
       - 1456*a33 *m1 *m2 *n1  *n2 *n3  + 728*a33 *m1 *m2 *n1  *n2 *n3

               2   5   6   8   12          2   5   6   8   10   2
       - 69*a33 *m1 *m2 *n1 *n2   + 992*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   8   8   4           2   5   6   8   6   6
       - 896*a33 *m1 *m2 *n1 *n2 *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   6   14         2   5   6   6   12   2
       - 99*a33 *m1 *m2 *n1 *n2   + 79*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   6   10   4          2   5   6   6   8   6
       + 1288*a33 *m1 *m2 *n1 *n2  *n3  - 840*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   4   16          2   5   6   4   14   2
       + 29*a33 *m1 *m2 *n1 *n2   - 240*a33 *m1 *m2 *n1 *n2  *n3

               2   5   6   4   12   4          2   5   6   4   10   6
       + 56*a33 *m1 *m2 *n1 *n2  *n3  + 896*a33 *m1 *m2 *n1 *n2  *n3

            2   5   6   2   18         2   5   6   2   16   2
       - a33 *m1 *m2 *n1 *n2   + 23*a33 *m1 *m2 *n1 *n2  *n3

               2   5   6   2   14   4          2   5   6   2   12   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

               2   4   7   15   5         2   4   7   13   7
       + 20*a33 *m1 *m2 *n1  *n2  - 90*a33 *m1 *m2 *n1  *n2

                2   4   7   13   5   2         2   4   7   11   9
       + 250*a33 *m1 *m2 *n1  *n2 *n3  - 50*a33 *m1 *m2 *n1  *n2

                2   4   7   11   7   2          2   4   7   11   5   4
       - 530*a33 *m1 *m2 *n1  *n2 *n3  + 840*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   9   11          2   4   7   9   9   2
       + 176*a33 *m1 *m2 *n1 *n2   - 632*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   9   7   4          2   4   7   9   5   6
       - 840*a33 *m1 *m2 *n1 *n2 *n3  + 784*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   7   13          2   4   7   7   11   2
       + 48*a33 *m1 *m2 *n1 *n2   + 548*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   7   9   4          2   4   7   7   7   6
       - 1344*a33 *m1 *m2 *n1 *n2 *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   5   15          2   4   7   5   13   2
       - 62*a33 *m1 *m2 *n1 *n2   + 286*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   5   11   4          2   4   7   5   9   6
       + 528*a33 *m1 *m2 *n1 *n2  *n3  - 864*a33 *m1 *m2 *n1 *n2 *n3

              2   4   7   3   17          2   4   7   3   15   2
       + 6*a33 *m1 *m2 *n1 *n2   - 110*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   3   13   4          2   4   7   3   11   6
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7      17   2         2   4   7      15   4
       + 4*a33 *m1 *m2 *n1*n2  *n3  - 24*a33 *m1 *m2 *n1*n2  *n3

               2   4   7      13   6         2   3   8   14   6
       - 32*a33 *m1 *m2 *n1*n2  *n3  + 30*a33 *m1 *m2 *n1  *n2

               2   3   8   12   8          2   3   8   12   6   2
       - 50*a33 *m1 *m2 *n1  *n2  + 275*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   10   10          2   3   8   10   8   2
       - 104*a33 *m1 *m2 *n1  *n2   - 156*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   10   6   4         2   3   8   8   12
       + 728*a33 *m1 *m2 *n1  *n2 *n3  + 48*a33 *m1 *m2 *n1 *n2

                2   3   8   8   10   2         2   3   8   8   8   4
       - 593*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   8   6   6         2   3   8   6   14
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 58*a33 *m1 *m2 *n1 *n2

               2   3   8   6   12   2          2   3   8   6   10   4
       + 32*a33 *m1 *m2 *n1 *n2  *n3  - 880*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   6   8   6         2   3   8   4   16
       - 64*a33 *m1 *m2 *n1 *n2 *n3  - 14*a33 *m1 *m2 *n1 *n2

                2   3   8   4   14   2        2   3   8   4   12   4
       + 174*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   4   10   6         2   3   8   2   16   2
       - 492*a33 *m1 *m2 *n1 *n2  *n3  - 20*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   2   14   4          2   3   8   2   12   6
       + 88*a33 *m1 *m2 *n1 *n2  *n3  + 128*a33 *m1 *m2 *n1 *n2  *n3

              2   3   8   16   4        2   3   8   14   6
       - 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

               2   2   9   13   7      2   2   9   11   9
       + 25*a33 *m1 *m2 *n1  *n2  + a33 *m1 *m2 *n1  *n2

                2   2   9   11   7   2         2   2   9   9   11
       + 180*a33 *m1 *m2 *n1  *n2 *n3  - 57*a33 *m1 *m2 *n1 *n2

               2   2   9   9   9   2          2   2   9   9   7   4
       + 86*a33 *m1 *m2 *n1 *n2 *n3  + 392*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   7   13          2   2   9   7   11   2
       - 17*a33 *m1 *m2 *n1 *n2   - 222*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   7   9   4          2   2   9   7   7   6
       + 232*a33 *m1 *m2 *n1 *n2 *n3  + 256*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   5   15         2   2   9   5   13   2
       + 16*a33 *m1 *m2 *n1 *n2   - 92*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   5   11   4         2   2   9   5   9   6
       - 256*a33 *m1 *m2 *n1 *n2  *n3  + 88*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   3   15   2         2   2   9   3   13   4
       + 36*a33 *m1 *m2 *n1 *n2  *n3  - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   3   11   6         2   2   9      15   4
       - 152*a33 *m1 *m2 *n1 *n2  *n3  + 16*a33 *m1 *m2 *n1*n2  *n3

               2   2   9      13   6         2      10   12   8
       + 16*a33 *m1 *m2 *n1*n2  *n3  + 11*a33 *m1*m2  *n1  *n2

               2      10   10   10         2      10   10   8   2
       + 13*a33 *m1*m2  *n1  *n2   + 65*a33 *m1*m2  *n1  *n2 *n3

              2      10   8   12         2      10   8   10   2
       - 7*a33 *m1*m2  *n1 *n2   + 80*a33 *m1*m2  *n1 *n2  *n3

                2      10   8   8   4        2      10   6   14
       + 120*a33 *m1*m2  *n1 *n2 *n3  - 9*a33 *m1*m2  *n1 *n2

               2      10   6   12   2          2      10   6   10   4
       - 13*a33 *m1*m2  *n1 *n2  *n3  + 132*a33 *m1*m2  *n1 *n2  *n3

               2      10   6   8   6         2      10   4   14   2
       + 68*a33 *m1*m2  *n1 *n2 *n3  - 28*a33 *m1*m2  *n1 *n2  *n3

              2      10   4   12   4         2      10   4   10   6
       - 8*a33 *m1*m2  *n1 *n2  *n3  + 48*a33 *m1*m2  *n1 *n2  *n3

               2      10   2   14   4         2      10   2   12   6
       - 20*a33 *m1*m2  *n1 *n2  *n3  - 20*a33 *m1*m2  *n1 *n2  *n3

              2   11   11   9        2   11   9   11         2   11   9   9   2
       + 2*a33 *m2  *n1  *n2  + 4*a33 *m2  *n1 *n2   + 10*a33 *m2  *n1 *n2 *n3

              2   11   7   13         2   11   7   11   2
       + 2*a33 *m2  *n1 *n2   + 18*a33 *m2  *n1 *n2  *n3

               2   11   7   9   4        2   11   5   13   2
       + 16*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

               2   11   5   11   4        2   11   5   9   6
       + 24*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2 *n3

              2   11   3   13   4        2   11   3   11   6      2
       + 8*a33 *m2  *n1 *n2  *n3  + 8*a33 *m2  *n1 *n2  *n3 ) + u3 *v2*(

           2   11   11   7   2        2   11   11   5   4
      2*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   11   11   3   6        2   11   9   9   2
       + 8*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2 *n3

              2   11   9   7   4        2   11   9   5   6
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   10      12   8         2   10      12   6   2
       + 2*a33 *m1  *m2*n1  *n2  - 17*a33 *m1  *m2*n1  *n2 *n3

               2   10      12   4   4         2   10      12   2   6
       + 36*a33 *m1  *m2*n1  *n2 *n3  - 20*a33 *m1  *m2*n1  *n2 *n3

              2   10      10   10         2   10      10   8   2
       + 4*a33 *m1  *m2*n1  *n2   - 12*a33 *m1  *m2*n1  *n2 *n3

               2   10      10   6   4         2   10      10   4   6
       - 16*a33 *m1  *m2*n1  *n2 *n3  + 48*a33 *m1  *m2*n1  *n2 *n3

              2   10      8   12        2   10      8   10   2
       + 2*a33 *m1  *m2*n1 *n2   + 5*a33 *m1  *m2*n1 *n2  *n3

               2   10      8   8   4         2   10      8   6   6
       - 52*a33 *m1  *m2*n1 *n2 *n3  + 68*a33 *m1  *m2*n1 *n2 *n3

              2   9   2   13   7         2   9   2   13   5   2
       - 9*a33 *m1 *m2 *n1  *n2  + 44*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   13   3   4         2   9   2   13      6
       - 56*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

              2   9   2   11   9         2   9   2   11   7   2
       - 7*a33 *m1 *m2 *n1  *n2  - 38*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   11   5   4          2   9   2   11   3   6
       + 192*a33 *m1 *m2 *n1  *n2 *n3  - 152*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   9   11         2   9   2   9   9   2
       + 13*a33 *m1 *m2 *n1 *n2   - 98*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   9   7   4         2   9   2   9   5   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 88*a33 *m1 *m2 *n1 *n2 *n3

               2   9   2   7   13         2   9   2   7   11   2
       + 11*a33 *m1 *m2 *n1 *n2   - 16*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   7   9   4          2   9   2   7   7   6
       - 136*a33 *m1 *m2 *n1 *n2 *n3  + 256*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   14   6         2   8   3   14   4   2
       + 16*a33 *m1 *m2 *n1  *n2  - 50*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   14   2   4        2   8   3   14   6
       + 36*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

               2   8   3   12   8          2   8   3   12   6   2
       - 17*a33 *m1 *m2 *n1  *n2  + 196*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   12   4   4          2   8   3   12   2   6
       - 360*a33 *m1 *m2 *n1  *n2 *n3  + 128*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   10   10          2   8   3   10   8   2
       - 57*a33 *m1 *m2 *n1  *n2   + 123*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   10   6   4          2   8   3   10   4   6
       + 324*a33 *m1 *m2 *n1  *n2 *n3  - 492*a33 *m1 *m2 *n1  *n2 *n3

            2   8   3   8   12          2   8   3   8   10   2
       + a33 *m1 *m2 *n1 *n2   - 212*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   8   8   4         2   8   3   8   6   6
       + 552*a33 *m1 *m2 *n1 *n2 *n3  - 64*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   6   14         2   8   3   6   12   2
       + 25*a33 *m1 *m2 *n1 *n2   - 89*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   6   10   4          2   8   3   6   8   6
       - 168*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   15   5         2   7   4   15   3   2
       - 14*a33 *m1 *m2 *n1  *n2  + 26*a33 *m1 *m2 *n1  *n2 *n3

              2   7   4   15      4         2   7   4   13   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  + 58*a33 *m1 *m2 *n1  *n2

                2   7   4   13   5   2          2   7   4   13   3   4
       - 270*a33 *m1 *m2 *n1  *n2 *n3  + 248*a33 *m1 *m2 *n1  *n2 *n3

               2   7   4   13      6         2   7   4   11   9
       - 32*a33 *m1 *m2 *n1  *n2*n3  + 48*a33 *m1 *m2 *n1  *n2

                2   7   4   11   7   2          2   7   4   11   5   4
       + 244*a33 *m1 *m2 *n1  *n2 *n3  - 944*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   11   3   6          2   7   4   9   11
       + 448*a33 *m1 *m2 *n1  *n2 *n3  - 104*a33 *m1 *m2 *n1 *n2

                2   7   4   9   9   2         2   7   4   9   7   4
       + 572*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   9   5   6         2   7   4   7   13
       - 864*a33 *m1 *m2 *n1 *n2 *n3  - 50*a33 *m1 *m2 *n1 *n2

                2   7   4   7   11   2           2   7   4   7   9   4
       - 138*a33 *m1 *m2 *n1 *n2  *n3  + 1064*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   7   7   6         2   7   4   5   15
       - 560*a33 *m1 *m2 *n1 *n2 *n3  + 30*a33 *m1 *m2 *n1 *n2

                2   7   4   5   13   2         2   7   4   5   11   4
       - 170*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   5   9   6        2   6   5   16   4
       + 784*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1  *n2

              2   6   5   16   2   2         2   6   5   14   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  - 62*a33 *m1 *m2 *n1  *n2

                2   6   5   14   4   2         2   6   5   14   2   4
       + 152*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   12   8          2   6   5   12   6   2
       + 48*a33 *m1 *m2 *n1  *n2  - 565*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   12   4   4          2   6   5   12   2   6
       + 728*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   10   10          2   6   5   10   8   2
       + 176*a33 *m1 *m2 *n1  *n2   - 184*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   5   10   6   4          2   6   5   10   4   6
       - 1232*a33 *m1 *m2 *n1  *n2 *n3  + 896*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   8   12          2   6   5   8   10   2
       - 50*a33 *m1 *m2 *n1 *n2   + 863*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   8   8   4          2   6   5   8   6   6
       - 1064*a33 *m1 *m2 *n1 *n2 *n3  - 840*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   6   14          2   6   5   6   12   2
       - 90*a33 *m1 *m2 *n1 *n2   + 152*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   6   10   4           2   6   5   6   8   6
       + 1064*a33 *m1 *m2 *n1 *n2  *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   6   5   4   16          2   6   5   4   14   2
       + 20*a33 *m1 *m2 *n1 *n2   - 173*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   4   12   4          2   6   5   4   10   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 728*a33 *m1 *m2 *n1 *n2  *n3

            2   5   6   17   3         2   5   6   15   5
       - a33 *m1 *m2 *n1  *n2  + 29*a33 *m1 *m2 *n1  *n2

               2   5   6   15   3   2         2   5   6   13   7
       - 30*a33 *m1 *m2 *n1  *n2 *n3  - 99*a33 *m1 *m2 *n1  *n2

                2   5   6   13   5   2          2   5   6   13   3   4
       + 366*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   5   6   11   9          2   5   6   11   7   2
       - 69*a33 *m1 *m2 *n1  *n2  - 520*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   11   5   4          2   5   6   11   3   6
       + 1176*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   9   11          2   5   6   9   9   2
       + 195*a33 *m1 *m2 *n1 *n2   - 796*a33 *m1 *m2 *n1 *n2 *n3

                2   5   6   9   7   4           2   5   6   9   5   6
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 1120*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   7   13          2   5   6   7   11   2
       + 57*a33 *m1 *m2 *n1 *n2   + 558*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   7   9   4          2   5   6   7   7   6
       - 1680*a33 *m1 *m2 *n1 *n2 *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   5   6   5   15          2   5   6   5   13   2
       - 71*a33 *m1 *m2 *n1 *n2   + 338*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   5   11   4           2   5   6   5   9   6
       + 504*a33 *m1 *m2 *n1 *n2  *n3  - 1232*a33 *m1 *m2 *n1 *n2 *n3

              2   5   6   3   17          2   5   6   3   15   2
       + 7*a33 *m1 *m2 *n1 *n2   - 100*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   3   13   4          2   5   6   3   11   6
       + 168*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   16   4         2   4   7   14   6
       - 5*a33 *m1 *m2 *n1  *n2  + 55*a33 *m1 *m2 *n1  *n2

               2   4   7   14   4   2         2   4   7   12   8
       - 75*a33 *m1 *m2 *n1  *n2 *n3  - 55*a33 *m1 *m2 *n1  *n2

                2   4   7   12   6   2          2   4   7   12   4   4
       + 460*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   10   10         2   4   7   10   8   2
       - 155*a33 *m1 *m2 *n1  *n2   - 75*a33 *m1 *m2 *n1  *n2 *n3

                 2   4   7   10   6   4          2   4   7   10   4   6
       + 1120*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   7   8   12          2   4   7   8   10   2
       + 71*a33 *m1 *m2 *n1 *n2   - 856*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   8   8   4          2   4   7   8   6   6
       + 224*a33 *m1 *m2 *n1 *n2 *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   6   14         2   4   7   6   12   2
       + 83*a33 *m1 *m2 *n1 *n2   + 37*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   6   10   4          2   4   7   6   8   6
       - 1288*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

               2   4   7   4   16          2   4   7   4   14   2
       - 27*a33 *m1 *m2 *n1 *n2   + 252*a33 *m1 *m2 *n1 *n2  *n3

              2   4   7   4   12   4          2   4   7   4   10   6
       - 8*a33 *m1 *m2 *n1 *n2  *n3  - 832*a33 *m1 *m2 *n1 *n2  *n3

            2   4   7   2   18         2   4   7   2   16   2
       + a33 *m1 *m2 *n1 *n2   - 31*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   2   14   4          2   4   7   2   12   6
       + 104*a33 *m1 *m2 *n1 *n2  *n3  + 176*a33 *m1 *m2 *n1 *n2  *n3

               2   3   8   15   5         2   3   8   13   7
       - 10*a33 *m1 *m2 *n1  *n2  + 50*a33 *m1 *m2 *n1  *n2

                2   3   8   13   5   2         2   3   8   11   9
       - 100*a33 *m1 *m2 *n1  *n2 *n3  + 20*a33 *m1 *m2 *n1  *n2

                2   3   8   11   7   2          2   3   8   11   5   4
       + 310*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   9   11          2   3   8   9   9   2
       - 104*a33 *m1 *m2 *n1 *n2   + 250*a33 *m1 *m2 *n1 *n2 *n3

                2   3   8   9   7   4          2   3   8   9   5   6
       + 616*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   7   13          2   3   8   7   11   2
       - 22*a33 *m1 *m2 *n1 *n2   - 404*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   7   9   4          2   3   8   7   7   6
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

               2   3   8   5   15          2   3   8   5   13   2
       + 38*a33 *m1 *m2 *n1 *n2   - 152*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   5   11   4          2   3   8   5   9   6
       - 496*a33 *m1 *m2 *n1 *n2  *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

              2   3   8   3   17         2   3   8   3   15   2
       - 4*a33 *m1 *m2 *n1 *n2   + 88*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   3   13   4          2   3   8   3   11   6
       - 128*a33 *m1 *m2 *n1 *n2  *n3  - 344*a33 *m1 *m2 *n1 *n2  *n3

              2   3   8      17   2         2   3   8      15   4
       - 4*a33 *m1 *m2 *n1*n2  *n3  + 32*a33 *m1 *m2 *n1*n2  *n3

               2   3   8      13   6         2   2   9   14   6
       + 40*a33 *m1 *m2 *n1*n2  *n3  - 10*a33 *m1 *m2 *n1  *n2

               2   2   9   12   8         2   2   9   12   6   2
       + 20*a33 *m1 *m2 *n1  *n2  - 75*a33 *m1 *m2 *n1  *n2 *n3

               2   2   9   10   10         2   2   9   10   8   2
       + 36*a33 *m1 *m2 *n1  *n2   + 96*a33 *m1 *m2 *n1  *n2 *n3

                2   2   9   10   6   4         2   2   9   8   12
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 22*a33 *m1 *m2 *n1 *n2

                2   2   9   8   10   2          2   2   9   8   8   4
       + 205*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                2   2   9   8   6   6         2   2   9   6   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 22*a33 *m1 *m2 *n1 *n2

               2   2   9   6   12   2          2   2   9   6   10   4
       - 56*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   6   8   6        2   2   9   4   16
       + 128*a33 *m1 *m2 *n1 *n2 *n3  + 6*a33 *m1 *m2 *n1 *n2

               2   2   9   4   14   2         2   2   9   4   12   4
       - 78*a33 *m1 *m2 *n1 *n2  *n3  - 60*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   4   10   6         2   2   9   2   16   2
       + 156*a33 *m1 *m2 *n1 *n2  *n3  + 12*a33 *m1 *m2 *n1 *n2  *n3

               2   2   9   2   14   4         2   2   9   2   12   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 80*a33 *m1 *m2 *n1 *n2  *n3

              2   2   9   16   4        2   2   9   14   6
       + 4*a33 *m1 *m2 *n2  *n3  + 4*a33 *m1 *m2 *n2  *n3

              2      10   13   7      2      10   11   9
       - 5*a33 *m1*m2  *n1  *n2  + a33 *m1*m2  *n1  *n2

               2      10   11   7   2         2      10   9   11
       - 30*a33 *m1*m2  *n1  *n2 *n3  + 13*a33 *m1*m2  *n1 *n2

              2      10   9   9   2         2      10   9   7   4
       + 2*a33 *m1*m2  *n1 *n2 *n3  - 56*a33 *m1*m2  *n1 *n2 *n3

              2      10   7   13         2      10   7   11   2
       + 3*a33 *m1*m2  *n1 *n2   + 60*a33 *m1*m2  *n1 *n2  *n3

              2      10   7   9   4         2      10   7   7   6
       + 8*a33 *m1*m2  *n1 *n2 *n3  - 32*a33 *m1*m2  *n1 *n2 *n3

              2      10   5   15         2      10   5   13   2
       - 4*a33 *m1*m2  *n1 *n2   + 16*a33 *m1*m2  *n1 *n2  *n3

               2      10   5   11   4         2      10   5   9   6
       + 88*a33 *m1*m2  *n1 *n2  *n3  + 16*a33 *m1*m2  *n1 *n2 *n3

               2      10   3   15   2         2      10   3   13   4
       - 12*a33 *m1*m2  *n1 *n2  *n3  + 16*a33 *m1*m2  *n1 *n2  *n3

               2      10   3   11   6        2      10      15   4
       + 40*a33 *m1*m2  *n1 *n2  *n3  - 8*a33 *m1*m2  *n1*n2  *n3

              2      10      13   6      2   11   12   8      2   11   10   10
       - 8*a33 *m1*m2  *n1*n2  *n3  - a33 *m2  *n1  *n2  - a33 *m2  *n1  *n2

              2   11   10   8   2      2   11   8   12
       - 5*a33 *m2  *n1  *n2 *n3  + a33 *m2  *n1 *n2

              2   11   8   10   2        2   11   8   8   4      2   11   6   14
       - 4*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3  + a33 *m2  *n1 *n2

              2   11   6   12   2        2   11   6   10   4
       + 5*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3

              2   11   6   8   6        2   11   4   14   2
       - 4*a33 *m2  *n1 *n2 *n3  + 4*a33 *m2  *n1 *n2  *n3

              2   11   4   12   4        2   11   2   14   4
       + 8*a33 *m2  *n1 *n2  *n3  + 4*a33 *m2  *n1 *n2  *n3

              2   11   2   12   6      2   2        3   12   10   6   2
       + 4*a33 *m2  *n1 *n2  *n3 ) + u3 *v3 *( - a33 *m1  *n1  *n2 *n3

              3   12   10   4   4        3   12   10   2   6
       + 4*a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

            3   12   8   8   2        3   12   8   6   4
       - a33 *m1  *n1 *n2 *n3  + 4*a33 *m1  *n1 *n2 *n3

              3   12   8   4   6      3   11      11   7
       - 4*a33 *m1  *n1 *n2 *n3  - a33 *m1  *m2*n1  *n2

              3   11      11   5   2         3   11      11   3   4
       + 8*a33 *m1  *m2*n1  *n2 *n3  - 16*a33 *m1  *m2*n1  *n2 *n3

              3   11      11      6        3   11      9   9
       + 8*a33 *m1  *m2*n1  *n2*n3  - 2*a33 *m1  *m2*n1 *n2

              3   11      9   7   2        3   11      9   5   4
       + 6*a33 *m1  *m2*n1 *n2 *n3  + 8*a33 *m1  *m2*n1 *n2 *n3

               3   11      9   3   6      3   11      7   11
       - 24*a33 *m1  *m2*n1 *n2 *n3  - a33 *m1  *m2*n1 *n2

              3   11      7   9   2         3   11      7   7   4
       - 2*a33 *m1  *m2*n1 *n2 *n3  + 24*a33 *m1  *m2*n1 *n2 *n3

               3   11      7   5   6        3   10   2   12   6
       - 32*a33 *m1  *m2*n1 *n2 *n3  + 4*a33 *m1  *m2 *n1  *n2

               3   10   2   12   4   2         3   10   2   12   2   4
       - 18*a33 *m1  *m2 *n1  *n2 *n3  + 20*a33 *m1  *m2 *n1  *n2 *n3

              3   10   2   12   6        3   10   2   10   8
       - 4*a33 *m1  *m2 *n1  *n3  + 3*a33 *m1  *m2 *n1  *n2

               3   10   2   10   6   2         3   10   2   10   4   4
       + 17*a33 *m1  *m2 *n1  *n2 *n3  - 80*a33 *m1  *m2 *n1  *n2 *n3

               3   10   2   10   2   6        3   10   2   8   10
       + 56*a33 *m1  *m2 *n1  *n2 *n3  - 6*a33 *m1  *m2 *n1 *n2

               3   10   2   8   8   2         3   10   2   8   6   4
       + 44*a33 *m1  *m2 *n1 *n2 *n3  - 44*a33 *m1  *m2 *n1 *n2 *n3

               3   10   2   8   4   6        3   10   2   6   12
       - 52*a33 *m1  *m2 *n1 *n2 *n3  - 5*a33 *m1  *m2 *n1 *n2

              3   10   2   6   10   2         3   10   2   6   8   4
       + 9*a33 *m1  *m2 *n1 *n2  *n3  + 56*a33 *m1  *m2 *n1 *n2 *n3

                3   10   2   6   6   6        3   9   3   13   5
       - 112*a33 *m1  *m2 *n1 *n2 *n3  - 6*a33 *m1 *m2 *n1  *n2

               3   9   3   13   3   2        3   9   3   13      4
       + 16*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2*n3

              3   9   3   11   7         3   9   3   11   5   2
       + 7*a33 *m1 *m2 *n1  *n2  - 72*a33 *m1 *m2 *n1  *n2 *n3

                3   9   3   11   3   4         3   9   3   11      6
       + 112*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2*n3

               3   9   3   9   9         3   9   3   9   7   2
       + 22*a33 *m1 *m2 *n1 *n2  - 42*a33 *m1 *m2 *n1 *n2 *n3

                3   9   3   9   5   4          3   9   3   9   3   6
       - 136*a33 *m1 *m2 *n1 *n2 *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

            3   9   3   7   11         3   9   3   7   9   2
       - a33 *m1 *m2 *n1 *n2   + 86*a33 *m1 *m2 *n1 *n2 *n3

                3   9   3   7   7   4         3   9   3   7   5   6
       - 200*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

               3   9   3   5   13         3   9   3   5   11   2
       - 10*a33 *m1 *m2 *n1 *n2   + 40*a33 *m1 *m2 *n1 *n2  *n3

               3   9   3   5   9   4          3   9   3   5   7   6
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

              3   8   4   14   4        3   8   4   14   2   2
       + 4*a33 *m1 *m2 *n1  *n2  - 5*a33 *m1 *m2 *n1  *n2 *n3

               3   8   4   12   6         3   8   4   12   4   2
       - 18*a33 *m1 *m2 *n1  *n2  + 69*a33 *m1 *m2 *n1  *n2 *n3

               3   8   4   12   2   4        3   8   4   12   6
       - 36*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

               3   8   4   10   8         3   8   4   10   6   2
       - 13*a33 *m1 *m2 *n1  *n2  - 88*a33 *m1 *m2 *n1  *n2 *n3

                3   8   4   10   4   4         3   8   4   10   2   6
       + 252*a33 *m1 *m2 *n1  *n2 *n3  - 52*a33 *m1 *m2 *n1  *n2 *n3

               3   8   4   8   10          3   8   4   8   8   2
       + 34*a33 *m1 *m2 *n1 *n2   - 173*a33 *m1 *m2 *n1 *n2 *n3

               3   8   4   8   6   4          3   8   4   8   4   6
       - 48*a33 *m1 *m2 *n1 *n2 *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

               3   8   4   6   12         3   8   4   6   10   2
       + 15*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

                3   8   4   6   8   4         3   8   4   6   6   6
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

               3   8   4   4   14         3   8   4   4   12   2
       - 10*a33 *m1 *m2 *n1 *n2   + 65*a33 *m1 *m2 *n1 *n2  *n3

                3   8   4   4   8   6      3   7   5   15   3
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1  *n2

               3   7   5   13   5         3   7   5   13   3   2
       + 12*a33 *m1 *m2 *n1  *n2  - 14*a33 *m1 *m2 *n1  *n2 *n3

              3   7   5   13      4         3   7   5   11   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  - 13*a33 *m1 *m2 *n1  *n2

                3   7   5   11   5   2         3   7   5   11   3   4
       + 106*a33 *m1 *m2 *n1  *n2 *n3  - 40*a33 *m1 *m2 *n1  *n2 *n3

               3   7   5   11      6         3   7   5   9   9
       - 32*a33 *m1 *m2 *n1  *n2*n3  - 36*a33 *m1 *m2 *n1 *n2

               3   7   5   9   7   2          3   7   5   9   5   4
       - 12*a33 *m1 *m2 *n1 *n2 *n3  + 304*a33 *m1 *m2 *n1 *n2 *n3

               3   7   5   9   3   6         3   7   5   7   11
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 15*a33 *m1 *m2 *n1 *n2

                3   7   5   7   9   2          3   7   5   7   7   4
       - 212*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                3   7   5   7   5   6         3   7   5   5   13
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

               3   7   5   5   11   2          3   7   5   5   9   4
       - 26*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

                3   7   5   5   7   6        3   7   5   3   15
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 5*a33 *m1 *m2 *n1 *n2

               3   7   5   3   13   2         3   7   5   3   11   4
       + 54*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                3   7   5   3   9   6      3   6   6   14   4
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1  *n2

              3   6   6   14   2   2        3   6   6   12   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n2

               3   6   6   12   4   2         3   6   6   12   2   4
       + 12*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

            3   6   6   10   8         3   6   6   10   6   2
       - a33 *m1 *m2 *n1  *n2  + 79*a33 *m1 *m2 *n1  *n2 *n3

               3   6   6   10   4   4          3   6   6   10   2   6
       + 56*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

               3   6   6   8   10         3   6   6   8   8   2
       - 20*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2 *n3

                3   6   6   8   6   4         3   6   6   8   4   6
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

            3   6   6   6   12          3   6   6   6   10   2
       - a33 *m1 *m2 *n1 *n2   - 117*a33 *m1 *m2 *n1 *n2  *n3

                3   6   6   6   8   4          3   6   6   6   6   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

              3   6   6   4   14         3   6   6   4   12   2
       + 8*a33 *m1 *m2 *n1 *n2   - 44*a33 *m1 *m2 *n1 *n2  *n3

                3   6   6   4   10   4         3   6   6   4   8   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

            3   6   6   2   16         3   6   6   2   14   2
       - a33 *m1 *m2 *n1 *n2   + 23*a33 *m1 *m2 *n1 *n2  *n3

               3   6   6   2   12   4          3   6   6   2   10   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

            3   5   7   15   3        3   5   7   13   5
       - a33 *m1 *m2 *n1  *n2  + 8*a33 *m1 *m2 *n1  *n2

               3   5   7   13   3   2      3   5   7   11   7
       - 30*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1  *n2

               3   5   7   11   5   2          3   5   7   11   3   4
       + 86*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               3   5   7   9   9         3   5   7   9   7   2
       - 20*a33 *m1 *m2 *n1 *n2  + 96*a33 *m1 *m2 *n1 *n2 *n3

                3   5   7   9   5   4          3   5   7   9   3   6
       + 168*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

            3   5   7   7   11         3   5   7   7   9   2
       - a33 *m1 *m2 *n1 *n2   - 68*a33 *m1 *m2 *n1 *n2 *n3

                3   5   7   7   7   4          3   5   7   7   5   6
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              3   5   7   5   13         3   5   7   5   11   2
       + 8*a33 *m1 *m2 *n1 *n2   - 58*a33 *m1 *m2 *n1 *n2  *n3

                3   5   7   5   7   6      3   5   7   3   15
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

              3   5   7   3   13   2         3   5   7   3   11   4
       - 6*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               3   5   7   3   9   6        3   5   7      15   2
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

               3   5   7      13   4         3   5   7      11   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 32*a33 *m1 *m2 *n1*n2  *n3

              3   4   8   14   4         3   4   8   12   6
       - 5*a33 *m1 *m2 *n1  *n2  + 20*a33 *m1 *m2 *n1  *n2

               3   4   8   12   4   2         3   4   8   10   8
       - 75*a33 *m1 *m2 *n1  *n2 *n3  + 15*a33 *m1 *m2 *n1  *n2

                3   4   8   10   6   2          3   4   8   10   4   4
       + 110*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               3   4   8   8   10          3   4   8   8   8   2
       - 36*a33 *m1 *m2 *n1 *n2   + 191*a33 *m1 *m2 *n1 *n2 *n3

                3   4   8   8   6   4          3   4   8   8   4   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

               3   4   8   6   12         3   4   8   6   10   2
       - 13*a33 *m1 *m2 *n1 *n2   - 72*a33 *m1 *m2 *n1 *n2  *n3

                3   4   8   6   8   4         3   4   8   6   6   6
       + 392*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

               3   4   8   4   14         3   4   8   4   12   2
       + 12*a33 *m1 *m2 *n1 *n2   - 67*a33 *m1 *m2 *n1 *n2  *n3

               3   4   8   4   10   4          3   4   8   4   8   6
       - 16*a33 *m1 *m2 *n1 *n2  *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

            3   4   8   2   16         3   4   8   2   14   2
       - a33 *m1 *m2 *n1 *n2   + 11*a33 *m1 *m2 *n1 *n2  *n3

               3   4   8   2   12   4         3   4   8   2   10   6
       - 20*a33 *m1 *m2 *n1 *n2  *n3  - 52*a33 *m1 *m2 *n1 *n2  *n3

              3   4   8   14   4        3   4   8   12   6
       - 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

               3   3   9   13   5         3   3   9   11   7
       - 10*a33 *m1 *m2 *n1  *n2  + 15*a33 *m1 *m2 *n1  *n2

                3   3   9   11   5   2         3   3   9   9   9
       - 100*a33 *m1 *m2 *n1  *n2 *n3  + 34*a33 *m1 *m2 *n1 *n2

               3   3   9   9   7   2          3   3   9   9   5   4
       + 30*a33 *m1 *m2 *n1 *n2 *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

               3   3   9   7   11          3   3   9   7   9   2
       - 13*a33 *m1 *m2 *n1 *n2   + 194*a33 *m1 *m2 *n1 *n2 *n3

               3   3   9   7   7   4          3   3   9   7   5   6
       - 56*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               3   3   9   5   13         3   3   9   5   11   2
       - 18*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                3   3   9   5   9   4         3   3   9   5   7   6
       + 272*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

              3   3   9   3   15         3   3   9   3   13   2
       + 4*a33 *m1 *m2 *n1 *n2   - 48*a33 *m1 *m2 *n1 *n2  *n3

               3   3   9   3   11   4          3   3   9   3   9   6
       + 32*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

              3   3   9      15   2         3   3   9      13   4
       + 4*a33 *m1 *m2 *n1*n2  *n3  - 16*a33 *m1 *m2 *n1*n2  *n3

               3   3   9      11   6         3   2   10   12   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 10*a33 *m1 *m2  *n1  *n2

            3   2   10   10   8         3   2   10   10   6   2
       - a33 *m1 *m2  *n1  *n2  - 75*a33 *m1 *m2  *n1  *n2 *n3

               3   2   10   8   10         3   2   10   8   8   2
       + 22*a33 *m1 *m2  *n1 *n2   - 44*a33 *m1 *m2  *n1 *n2 *n3

                3   2   10   8   6   4        3   2   10   6   12
       - 168*a33 *m1 *m2  *n1 *n2 *n3  + 7*a33 *m1 *m2  *n1 *n2

               3   2   10   6   10   2          3   2   10   6   8   4
       + 81*a33 *m1 *m2  *n1 *n2  *n3  - 120*a33 *m1 *m2  *n1 *n2 *n3

                3   2   10   6   6   6        3   2   10   4   14
       - 112*a33 *m1 *m2  *n1 *n2 *n3  - 6*a33 *m1 *m2  *n1 *n2

               3   2   10   4   12   2         3   2   10   4   10   4
       + 38*a33 *m1 *m2  *n1 *n2  *n3  + 84*a33 *m1 *m2  *n1 *n2  *n3

               3   2   10   4   8   6         3   2   10   2   14   2
       - 52*a33 *m1 *m2  *n1 *n2 *n3  - 12*a33 *m1 *m2  *n1 *n2  *n3

               3   2   10   2   12   4         3   2   10   2   10   6
       + 32*a33 *m1 *m2  *n1 *n2  *n3  + 56*a33 *m1 *m2  *n1 *n2  *n3

              3   2   10   14   4        3   2   10   12   6
       - 4*a33 *m1 *m2  *n2  *n3  - 4*a33 *m1 *m2  *n2  *n3

              3      11   11   7        3      11   9   9
       - 5*a33 *m1*m2  *n1  *n2  - 6*a33 *m1*m2  *n1 *n2

               3      11   9   7   2        3      11   7   11
       - 30*a33 *m1*m2  *n1 *n2 *n3  + 3*a33 *m1*m2  *n1 *n2

               3      11   7   9   2         3      11   7   7   4
       - 38*a33 *m1*m2  *n1 *n2 *n3  - 56*a33 *m1*m2  *n1 *n2 *n3

              3      11   5   13        3      11   5   11   2
       + 4*a33 *m1*m2  *n1 *n2   + 4*a33 *m1*m2  *n1 *n2  *n3

               3      11   5   9   4         3      11   5   7   6
       - 64*a33 *m1*m2  *n1 *n2 *n3  - 32*a33 *m1*m2  *n1 *n2 *n3

               3      11   3   13   2         3      11   3   9   6
       + 12*a33 *m1*m2  *n1 *n2  *n3  - 24*a33 *m1*m2  *n1 *n2 *n3

              3      11      13   4        3      11      11   6
       + 8*a33 *m1*m2  *n1*n2  *n3  + 8*a33 *m1*m2  *n1*n2  *n3

            3   12   10   8        3   12   8   10        3   12   8   8   2
       - a33 *m2  *n1  *n2  - 2*a33 *m2  *n1 *n2   - 5*a33 *m2  *n1 *n2 *n3

            3   12   6   12        3   12   6   10   2        3   12   6   8   4
       - a33 *m2  *n1 *n2   - 9*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3

              3   12   4   12   2         3   12   4   10   4
       - 4*a33 *m2  *n1 *n2  *n3  - 12*a33 *m2  *n1 *n2  *n3

              3   12   4   8   6        3   12   2   12   4
       - 4*a33 *m2  *n1 *n2 *n3  - 4*a33 *m2  *n1 *n2  *n3

              3   12   2   10   6      2          2   11   11   6   3
       - 4*a33 *m2  *n1 *n2  *n3 ) + u3 *v3*(4*a33 *m1  *n1  *n2 *n3

               2   11   11   4   5         2   11   11   2   7
       - 16*a33 *m1  *n1  *n2 *n3  + 16*a33 *m1  *n1  *n2 *n3

              2   11   9   8   3         2   11   9   6   5
       + 4*a33 *m1  *n1 *n2 *n3  - 16*a33 *m1  *n1 *n2 *n3

               2   11   9   4   7        2   10      12   7
       + 16*a33 *m1  *n1 *n2 *n3  + 4*a33 *m1  *m2*n1  *n2 *n3

               2   10      12   5   3         2   10      12   3   5
       - 32*a33 *m1  *m2*n1  *n2 *n3  + 64*a33 *m1  *m2*n1  *n2 *n3

               2   10      12      7        2   10      10   9
       - 32*a33 *m1  *m2*n1  *n2*n3  + 8*a33 *m1  *m2*n1  *n2 *n3

               2   10      10   7   3         2   10      10   5   5
       - 20*a33 *m1  *m2*n1  *n2 *n3  - 48*a33 *m1  *m2*n1  *n2 *n3

                2   10      10   3   7        2   10      8   11
       + 112*a33 *m1  *m2*n1  *n2 *n3  + 4*a33 *m1  *m2*n1 *n2  *n3

               2   10      8   9   3          2   10      8   7   5
       + 12*a33 *m1  *m2*n1 *n2 *n3  - 112*a33 *m1  *m2*n1 *n2 *n3

                2   10      8   5   7         2   9   2   13   6
       + 144*a33 *m1  *m2*n1 *n2 *n3  - 16*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   13   4   3         2   9   2   13   2   5
       + 72*a33 *m1 *m2 *n1  *n2 *n3  - 80*a33 *m1 *m2 *n1  *n2 *n3

               2   9   2   13   7        2   9   2   11   8
       + 16*a33 *m1 *m2 *n1  *n3  - 8*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   11   6   3          2   9   2   11   4   5
       - 104*a33 *m1 *m2 *n1  *n2 *n3  + 400*a33 *m1 *m2 *n1  *n2 *n3

                2   9   2   11   2   7         2   9   2   9   10
       - 272*a33 *m1 *m2 *n1  *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                2   9   2   9   8   3          2   9   2   9   6   5
       - 204*a33 *m1 *m2 *n1 *n2 *n3  + 160*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   9   4   7         2   9   2   7   12
       + 288*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

               2   9   2   7   10   3          2   9   2   7   8   5
       - 28*a33 *m1 *m2 *n1 *n2  *n3  - 320*a33 *m1 *m2 *n1 *n2 *n3

                2   9   2   7   6   7         2   8   3   14   5
       + 576*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   14   3   3         2   8   3   14      5
       - 64*a33 *m1 *m2 *n1  *n2 *n3  + 32*a33 *m1 *m2 *n1  *n2*n3

               2   8   3   12   7             2   8   3   12   5   3
       - 48*a33 *m1 *m2 *n1  *n2 *n3 + 392*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   12   3   5          2   8   3   12      7
       - 592*a33 *m1 *m2 *n1  *n2 *n3  + 144*a33 *m1 *m2 *n1  *n2*n3

                2   8   3   10   9             2   8   3   10   7   3
       - 108*a33 *m1 *m2 *n1  *n2 *n3 + 120*a33 *m1 *m2 *n1  *n2 *n3

                2   8   3   10   5   5           2   8   3   10   3   7
       + 912*a33 *m1 *m2 *n1  *n2 *n3  - 1008*a33 *m1 *m2 *n1  *n2 *n3

               2   8   3   8   11             2   8   3   8   9   3
       + 24*a33 *m1 *m2 *n1 *n2  *n3 - 532*a33 *m1 *m2 *n1 *n2 *n3

                 2   8   3   8   7   5          2   8   3   8   5   7
       + 1088*a33 *m1 *m2 *n1 *n2 *n3  + 192*a33 *m1 *m2 *n1 *n2 *n3

               2   8   3   6   13             2   8   3   6   11   3
       + 60*a33 *m1 *m2 *n1 *n2  *n3 - 196*a33 *m1 *m2 *n1 *n2  *n3

                2   8   3   6   9   5           2   8   3   6   7   7
       - 448*a33 *m1 *m2 *n1 *n2 *n3  + 1344*a33 *m1 *m2 *n1 *n2 *n3

               2   7   4   15   4            2   7   4   15   2   3
       - 16*a33 *m1 *m2 *n1  *n2 *n3 + 20*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   13   6             2   7   4   13   4   3
       + 112*a33 *m1 *m2 *n1  *n2 *n3 - 412*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   13   2   5         2   7   4   11   8
       + 256*a33 *m1 *m2 *n1  *n2 *n3  + 32*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   11   6   3           2   7   4   11   4   5
       + 744*a33 *m1 *m2 *n1  *n2 *n3  - 1856*a33 *m1 *m2 *n1  *n2 *n3

                2   7   4   11   2   7          2   7   4   9   10
       + 576*a33 *m1 *m2 *n1  *n2 *n3  - 256*a33 *m1 *m2 *n1 *n2  *n3

                 2   7   4   9   8   3          2   7   4   9   6   5
       + 1064*a33 *m1 *m2 *n1 *n2 *n3  + 576*a33 *m1 *m2 *n1 *n2 *n3

                 2   7   4   9   4   7         2   7   4   7   12
       - 2112*a33 *m1 *m2 *n1 *n2 *n3  - 80*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   7   10   3           2   7   4   7   8   5
       - 532*a33 *m1 *m2 *n1 *n2  *n3  + 2464*a33 *m1 *m2 *n1 *n2 *n3

                2   7   4   7   6   7         2   7   4   5   14
       - 672*a33 *m1 *m2 *n1 *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2  *n3

                2   7   4   5   12   3          2   7   4   5   10   5
       - 420*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2  *n3

                 2   7   4   5   8   7        2   6   5   16   3
       + 2016*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1  *n2 *n3

               2   6   5   14   5             2   6   5   14   3   3
       - 88*a33 *m1 *m2 *n1  *n2 *n3 + 140*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   12   7              2   6   5   12   5   3
       + 172*a33 *m1 *m2 *n1  *n2 *n3 - 1092*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   12   3   5          2   6   5   10   9
       + 896*a33 *m1 *m2 *n1  *n2 *n3  + 304*a33 *m1 *m2 *n1  *n2 *n3

                2   6   5   10   7   3           2   6   5   10   5   5
       + 280*a33 *m1 *m2 *n1  *n2 *n3  - 3136*a33 *m1 *m2 *n1  *n2 *n3

                 2   6   5   10   3   7          2   6   5   8   11
       + 1344*a33 *m1 *m2 *n1  *n2 *n3  - 220*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   8   9   3           2   6   5   8   7   5
       + 2072*a33 *m1 *m2 *n1 *n2 *n3  - 1344*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   5   8   5   7          2   6   5   6   13
       - 2688*a33 *m1 *m2 *n1 *n2 *n3  - 200*a33 *m1 *m2 *n1 *n2  *n3

               2   6   5   6   11   3           2   6   5   6   9   5
       + 84*a33 *m1 *m2 *n1 *n2  *n3  + 2912*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   5   6   7   7         2   6   5   4   15
       - 2016*a33 *m1 *m2 *n1 *n2 *n3  + 60*a33 *m1 *m2 *n1 *n2  *n3

                2   6   5   4   13   3          2   6   5   4   11   5
       - 476*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   5   4   9   7         2   5   6   15   4
       + 2016*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1  *n2 *n3

                2   5   6   13   6             2   5   6   13   4   3
       - 192*a33 *m1 *m2 *n1  *n2 *n3 + 420*a33 *m1 *m2 *n1  *n2 *n3

               2   5   6   11   8              2   5   6   11   6   3
       + 24*a33 *m1 *m2 *n1  *n2 *n3 - 1484*a33 *m1 *m2 *n1  *n2 *n3

                 2   5   6   11   4   5          2   5   6   9   10
       + 1792*a33 *m1 *m2 *n1  *n2 *n3  + 480*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   9   8   3           2   5   6   9   6   5
       - 1064*a33 *m1 *m2 *n1 *n2 *n3  - 2912*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   6   9   4   7         2   5   6   7   12
       + 2016*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   7   10   3           2   5   6   7   8   5
       + 1848*a33 *m1 *m2 *n1 *n2  *n3  - 3360*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   6   7   6   7          2   5   6   5   14
       - 2016*a33 *m1 *m2 *n1 *n2 *n3  - 192*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   5   12   3           2   5   6   5   10   5
       + 700*a33 *m1 *m2 *n1 *n2  *n3  + 1792*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   5   8   7         2   5   6   3   16
       - 2688*a33 *m1 *m2 *n1 *n2 *n3  + 24*a33 *m1 *m2 *n1 *n2  *n3

                2   5   6   3   14   3          2   5   6   3   12   5
       - 308*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   6   3   10   7         2   4   7   14   5
       + 1344*a33 *m1 *m2 *n1 *n2  *n3  + 60*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   12   7             2   4   7   12   5   3
       - 200*a33 *m1 *m2 *n1  *n2 *n3 + 700*a33 *m1 *m2 *n1  *n2 *n3

                2   4   7   10   9             2   4   7   10   7   3
       - 220*a33 *m1 *m2 *n1  *n2 *n3 - 980*a33 *m1 *m2 *n1  *n2 *n3

                 2   4   7   10   5   5          2   4   7   8   11
       + 2240*a33 *m1 *m2 *n1  *n2 *n3  + 304*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   8   9   3           2   4   7   8   7   5
       - 1848*a33 *m1 *m2 *n1 *n2 *n3  - 1120*a33 *m1 *m2 *n1 *n2 *n3

                 2   4   7   8   5   7          2   4   7   6   13
       + 2016*a33 *m1 *m2 *n1 *n2 *n3  + 172*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   6   11   3           2   4   7   6   9   5
       + 616*a33 *m1 *m2 *n1 *n2  *n3  - 3360*a33 *m1 *m2 *n1 *n2 *n3

                2   4   7   6   7   7         2   4   7   4   15
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 88*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   4   13   3          2   4   7   4   11   5
       + 676*a33 *m1 *m2 *n1 *n2  *n3  + 320*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   7   4   9   7        2   4   7   2   17
       - 2112*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   2   15   3          2   4   7   2   13   5
       - 108*a33 *m1 *m2 *n1 *n2  *n3  + 320*a33 *m1 *m2 *n1 *n2  *n3

                2   4   7   2   11   7         2   3   8   13   6
       + 576*a33 *m1 *m2 *n1 *n2  *n3  + 80*a33 *m1 *m2 *n1  *n2 *n3

               2   3   8   11   8             2   3   8   11   6   3
       - 80*a33 *m1 *m2 *n1  *n2 *n3 + 700*a33 *m1 *m2 *n1  *n2 *n3

                2   3   8   9   10            2   3   8   9   8   3
       - 256*a33 *m1 *m2 *n1 *n2  *n3 - 84*a33 *m1 *m2 *n1 *n2 *n3

                 2   3   8   9   6   5         2   3   8   7   12
       + 1792*a33 *m1 *m2 *n1 *n2 *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                 2   3   8   7   10   3          2   3   8   7   8   5
       - 1288*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

                 2   3   8   7   6   7          2   3   8   5   14
       + 1344*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   5   12   3           2   3   8   5   10   5
       - 200*a33 *m1 *m2 *n1 *n2  *n3  - 1728*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   5   8   7         2   3   8   3   16
       + 192*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2  *n3

                2   3   8   3   14   3          2   3   8   3   12   5
       + 288*a33 *m1 *m2 *n1 *n2  *n3  - 272*a33 *m1 *m2 *n1 *n2  *n3

                 2   3   8   3   10   7         2   3   8      16   3
       - 1008*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1*n2  *n3

                2   3   8      14   5          2   3   8      12   7
       + 112*a33 *m1 *m2 *n1*n2  *n3  + 144*a33 *m1 *m2 *n1*n2  *n3

               2   2   9   12   7            2   2   9   10   9
       + 60*a33 *m1 *m2 *n1  *n2 *n3 + 24*a33 *m1 *m2 *n1  *n2 *n3

                2   2   9   10   7   3          2   2   9   8   11
       + 420*a33 *m1 *m2 *n1  *n2 *n3  - 108*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   8   9   3          2   2   9   8   7   5
       + 308*a33 *m1 *m2 *n1 *n2 *n3  + 896*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   6   13             2   2   9   6   11   3
       - 48*a33 *m1 *m2 *n1 *n2  *n3 - 376*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   6   9   5          2   2   9   6   7   7
       + 704*a33 *m1 *m2 *n1 *n2 *n3  + 576*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   4   15             2   2   9   4   13   3
       + 24*a33 *m1 *m2 *n1 *n2  *n3 - 216*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   4   11   5          2   2   9   4   9   7
       - 384*a33 *m1 *m2 *n1 *n2  *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

               2   2   9   2   15   3          2   2   9   2   13   5
       + 48*a33 *m1 *m2 *n1 *n2  *n3  - 176*a33 *m1 *m2 *n1 *n2  *n3

                2   2   9   2   11   7         2   2   9   15   5
       - 272*a33 *m1 *m2 *n1 *n2  *n3  + 16*a33 *m1 *m2 *n2  *n3

               2   2   9   13   7         2      10   11   8
       + 16*a33 *m1 *m2 *n2  *n3  + 24*a33 *m1*m2  *n1  *n2 *n3

               2      10   9   10             2      10   9   8   3
       + 32*a33 *m1*m2  *n1 *n2  *n3 + 140*a33 *m1*m2  *n1 *n2 *n3

              2      10   7   12             2      10   7   10   3
       - 8*a33 *m1*m2  *n1 *n2  *n3 + 188*a33 *m1*m2  *n1 *n2  *n3

                2      10   7   8   5         2      10   5   14
       + 256*a33 *m1*m2  *n1 *n2 *n3  - 16*a33 *m1*m2  *n1 *n2  *n3

                2      10   5   10   5          2      10   5   8   7
       + 304*a33 *m1*m2  *n1 *n2  *n3  + 144*a33 *m1*m2  *n1 *n2 *n3

               2      10   3   14   3         2      10   3   12   5
       - 48*a33 *m1*m2  *n1 *n2  *n3  + 16*a33 *m1*m2  *n1 *n2  *n3

                2      10   3   10   7         2      10      14   5
       + 112*a33 *m1*m2  *n1 *n2  *n3  - 32*a33 *m1*m2  *n1*n2  *n3

               2      10      12   7        2   11   10   9
       - 32*a33 *m1*m2  *n1*n2  *n3  + 4*a33 *m2  *n1  *n2 *n3

              2   11   8   11            2   11   8   9   3
       + 8*a33 *m2  *n1 *n2  *n3 + 20*a33 *m2  *n1 *n2 *n3

              2   11   6   13            2   11   6   11   3
       + 4*a33 *m2  *n1 *n2  *n3 + 36*a33 *m2  *n1 *n2  *n3

               2   11   6   9   5         2   11   4   13   3
       + 32*a33 *m2  *n1 *n2 *n3  + 16*a33 *m2  *n1 *n2  *n3

               2   11   4   11   5         2   11   4   9   7
       + 48*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2 *n3

               2   11   2   13   5         2   11   2   11   7
       + 16*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2  *n3 ) + u3*v1*v3*(

           2   12   11   6   2        2   12   11   4   4
      2*a33 *m1  *n1  *n2 *n3  - 8*a33 *m1  *n1  *n2 *n3

              2   12   11   2   6        2   12   9   8   2
       + 8*a33 *m1  *n1  *n2 *n3  + 2*a33 *m1  *n1 *n2 *n3

              2   12   9   6   4        2   12   9   4   6
       - 8*a33 *m1  *n1 *n2 *n3  + 8*a33 *m1  *n1 *n2 *n3

              2   11      12   7         2   11      12   5   2
       + 2*a33 *m1  *m2*n1  *n2  - 16*a33 *m1  *m2*n1  *n2 *n3

               2   11      12   3   4         2   11      12      6
       + 32*a33 *m1  *m2*n1  *n2 *n3  - 16*a33 *m1  *m2*n1  *n2*n3

              2   11      10   9         2   11      10   7   2
       + 4*a33 *m1  *m2*n1  *n2  - 12*a33 *m1  *m2*n1  *n2 *n3

               2   11      10   5   4         2   11      10   3   6
       - 16*a33 *m1  *m2*n1  *n2 *n3  + 48*a33 *m1  *m2*n1  *n2 *n3

              2   11      8   11        2   11      8   9   2
       + 2*a33 *m1  *m2*n1 *n2   + 4*a33 *m1  *m2*n1 *n2 *n3

               2   11      8   7   4         2   11      8   5   6
       - 48*a33 *m1  *m2*n1 *n2 *n3  + 64*a33 *m1  *m2*n1 *n2 *n3

              2   10   2   13   6         2   10   2   13   4   2
       - 8*a33 *m1  *m2 *n1  *n2  + 36*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   13   2   4        2   10   2   13   6
       - 40*a33 *m1  *m2 *n1  *n2 *n3  + 8*a33 *m1  *m2 *n1  *n3

              2   10   2   11   8         2   10   2   11   6   2
       - 6*a33 *m1  *m2 *n1  *n2  - 34*a33 *m1  *m2 *n1  *n2 *n3

                2   10   2   11   4   4          2   10   2   11   2   6
       + 160*a33 *m1  *m2 *n1  *n2 *n3  - 112*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   9   10         2   10   2   9   8   2
       + 12*a33 *m1  *m2 *n1 *n2   - 88*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   9   6   4          2   10   2   9   4   6
       + 88*a33 *m1  *m2 *n1 *n2 *n3  + 104*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   7   12         2   10   2   7   10   2
       + 10*a33 *m1  *m2 *n1 *n2   - 18*a33 *m1  *m2 *n1 *n2  *n3

                2   10   2   7   8   4          2   10   2   7   6   6
       - 112*a33 *m1  *m2 *n1 *n2 *n3  + 224*a33 *m1  *m2 *n1 *n2 *n3

               2   9   3   14   5         2   9   3   14   3   2
       + 12*a33 *m1 *m2 *n1  *n2  - 32*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   14      4         2   9   3   12   7
       + 16*a33 *m1 *m2 *n1  *n2*n3  - 14*a33 *m1 *m2 *n1  *n2

                2   9   3   12   5   2          2   9   3   12   3   4
       + 144*a33 *m1 *m2 *n1  *n2 *n3  - 224*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   12      6         2   9   3   10   9
       + 48*a33 *m1 *m2 *n1  *n2*n3  - 44*a33 *m1 *m2 *n1  *n2

               2   9   3   10   7   2          2   9   3   10   5   4
       + 84*a33 *m1 *m2 *n1  *n2 *n3  + 272*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   10   3   6        2   9   3   8   11
       - 336*a33 *m1 *m2 *n1  *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

                2   9   3   8   9   2          2   9   3   8   7   4
       - 172*a33 *m1 *m2 *n1 *n2 *n3  + 400*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   8   5   6         2   9   3   6   13
       + 64*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

               2   9   3   6   11   2          2   9   3   6   9   4
       - 80*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   6   7   6        2   8   4   15   4
       + 448*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2

               2   8   4   15   2   2         2   8   4   13   6
       + 10*a33 *m1 *m2 *n1  *n2 *n3  + 36*a33 *m1 *m2 *n1  *n2

                2   8   4   13   4   2         2   8   4   13   2   4
       - 138*a33 *m1 *m2 *n1  *n2 *n3  + 72*a33 *m1 *m2 *n1  *n2 *n3

              2   8   4   13   6         2   8   4   11   8
       + 8*a33 *m1 *m2 *n1  *n3  + 26*a33 *m1 *m2 *n1  *n2

                2   8   4   11   6   2          2   8   4   11   4   4
       + 176*a33 *m1 *m2 *n1  *n2 *n3  - 504*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   11   2   6         2   8   4   9   10
       + 104*a33 *m1 *m2 *n1  *n2 *n3  - 68*a33 *m1 *m2 *n1 *n2

                2   8   4   9   8   2         2   8   4   9   6   4
       + 346*a33 *m1 *m2 *n1 *n2 *n3  + 96*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   9   4   6         2   8   4   7   12
       - 576*a33 *m1 *m2 *n1 *n2 *n3  - 30*a33 *m1 *m2 *n1 *n2

                2   8   4   7   10   2          2   8   4   7   8   4
       - 108*a33 *m1 *m2 *n1 *n2  *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   7   6   6         2   8   4   5   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

                2   8   4   5   12   2          2   8   4   5   8   6
       - 130*a33 *m1 *m2 *n1 *n2  *n3  + 560*a33 *m1 *m2 *n1 *n2 *n3

              2   7   5   16   3         2   7   5   14   5
       + 2*a33 *m1 *m2 *n1  *n2  - 24*a33 *m1 *m2 *n1  *n2

               2   7   5   14   3   2         2   7   5   14      4
       + 28*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   12   7          2   7   5   12   5   2
       + 26*a33 *m1 *m2 *n1  *n2  - 212*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   12   3   4         2   7   5   12      6
       + 80*a33 *m1 *m2 *n1  *n2 *n3  + 64*a33 *m1 *m2 *n1  *n2*n3

               2   7   5   10   9         2   7   5   10   7   2
       + 72*a33 *m1 *m2 *n1  *n2  + 24*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   10   5   4         2   7   5   10   3   6
       - 608*a33 *m1 *m2 *n1  *n2 *n3  + 64*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   8   11          2   7   5   8   9   2
       - 30*a33 *m1 *m2 *n1 *n2   + 424*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   8   7   4          2   7   5   8   5   6
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   6   13         2   7   5   6   11   2
       - 40*a33 *m1 *m2 *n1 *n2   + 52*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   6   9   4          2   7   5   6   7   6
       + 560*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   4   15          2   7   5   4   13   2
       + 10*a33 *m1 *m2 *n1 *n2   - 108*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   4   11   4          2   7   5   4   9   6
       + 112*a33 *m1 *m2 *n1 *n2  *n3  + 448*a33 *m1 *m2 *n1 *n2 *n3

              2   6   6   15   4         2   6   6   15   2   2
       + 2*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   13   6         2   6   6   13   4   2
       - 16*a33 *m1 *m2 *n1  *n2  - 24*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   13   2   4        2   6   6   11   8
       + 112*a33 *m1 *m2 *n1  *n2 *n3  + 2*a33 *m1 *m2 *n1  *n2

                2   6   6   11   6   2          2   6   6   11   4   4
       - 158*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   11   2   6         2   6   6   9   10
       + 224*a33 *m1 *m2 *n1  *n2 *n3  + 40*a33 *m1 *m2 *n1 *n2

               2   6   6   9   8   2          2   6   6   9   6   4
       - 24*a33 *m1 *m2 *n1 *n2 *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   9   4   6        2   6   6   7   12
       - 112*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

                2   6   6   7   10   2          2   6   6   7   8   4
       + 234*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   7   6   6         2   6   6   5   14
       - 672*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2

               2   6   6   5   12   2          2   6   6   5   10   4
       + 88*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   5   8   6        2   6   6   3   16
       - 112*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

               2   6   6   3   14   2          2   6   6   3   12   4
       - 46*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   3   10   6        2   5   7   16   3
       + 224*a33 *m1 *m2 *n1 *n2  *n3  + 2*a33 *m1 *m2 *n1  *n2

               2   5   7   14   5         2   5   7   14   3   2
       - 16*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2 *n3

              2   5   7   12   7          2   5   7   12   5   2
       + 2*a33 *m1 *m2 *n1  *n2  - 172*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   12   3   4         2   5   7   10   9
       + 336*a33 *m1 *m2 *n1  *n2 *n3  + 40*a33 *m1 *m2 *n1  *n2

                2   5   7   10   7   2          2   5   7   10   5   4
       - 192*a33 *m1 *m2 *n1  *n2 *n3  - 336*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   10   3   6        2   5   7   8   11
       + 448*a33 *m1 *m2 *n1  *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

                2   5   7   8   9   2          2   5   7   8   7   4
       + 136*a33 *m1 *m2 *n1 *n2 *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   8   5   6         2   5   7   6   13
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - 16*a33 *m1 *m2 *n1 *n2

                2   5   7   6   11   2          2   5   7   6   7   6
       + 116*a33 *m1 *m2 *n1 *n2  *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

              2   5   7   4   15         2   5   7   4   13   2
       + 2*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

               2   5   7   4   11   4         2   5   7   4   9   6
       + 48*a33 *m1 *m2 *n1 *n2  *n3  + 64*a33 *m1 *m2 *n1 *n2 *n3

              2   5   7   2   15   2         2   5   7   2   13   4
       - 8*a33 *m1 *m2 *n1 *n2  *n3  + 48*a33 *m1 *m2 *n1 *n2  *n3

               2   5   7   2   11   6         2   4   8   15   4
       + 64*a33 *m1 *m2 *n1 *n2  *n3  + 10*a33 *m1 *m2 *n1  *n2

               2   4   8   13   6          2   4   8   13   4   2
       - 40*a33 *m1 *m2 *n1  *n2  + 150*a33 *m1 *m2 *n1  *n2 *n3

               2   4   8   11   8          2   4   8   11   6   2
       - 30*a33 *m1 *m2 *n1  *n2  - 220*a33 *m1 *m2 *n1  *n2 *n3

                2   4   8   11   4   4         2   4   8   9   10
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 72*a33 *m1 *m2 *n1 *n2

                2   4   8   9   8   2          2   4   8   9   6   4
       - 382*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   9   4   6         2   4   8   7   12
       + 560*a33 *m1 *m2 *n1 *n2 *n3  + 26*a33 *m1 *m2 *n1 *n2

                2   4   8   7   10   2          2   4   8   7   8   4
       + 144*a33 *m1 *m2 *n1 *n2  *n3  - 784*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   7   6   6         2   4   8   5   14
       - 112*a33 *m1 *m2 *n1 *n2 *n3  - 24*a33 *m1 *m2 *n1 *n2

                2   4   8   5   12   2         2   4   8   5   10   4
       + 134*a33 *m1 *m2 *n1 *n2  *n3  + 32*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   5   8   6        2   4   8   3   16
       - 576*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

               2   4   8   3   14   2         2   4   8   3   12   4
       - 22*a33 *m1 *m2 *n1 *n2  *n3  + 40*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   3   10   6        2   4   8      14   4
       + 104*a33 *m1 *m2 *n1 *n2  *n3  + 8*a33 *m1 *m2 *n1*n2  *n3

              2   4   8      12   6         2   3   9   14   5
       + 8*a33 *m1 *m2 *n1*n2  *n3  + 20*a33 *m1 *m2 *n1  *n2

               2   3   9   12   7          2   3   9   12   5   2
       - 30*a33 *m1 *m2 *n1  *n2  + 200*a33 *m1 *m2 *n1  *n2 *n3

               2   3   9   10   9         2   3   9   10   7   2
       - 68*a33 *m1 *m2 *n1  *n2  - 60*a33 *m1 *m2 *n1  *n2 *n3

                2   3   9   10   5   4         2   3   9   8   11
       + 560*a33 *m1 *m2 *n1  *n2 *n3  + 26*a33 *m1 *m2 *n1 *n2

                2   3   9   8   9   2          2   3   9   8   7   4
       - 388*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   8   5   6         2   3   9   6   13
       + 448*a33 *m1 *m2 *n1 *n2 *n3  + 36*a33 *m1 *m2 *n1 *n2

               2   3   9   6   11   2          2   3   9   6   9   4
       - 24*a33 *m1 *m2 *n1 *n2  *n3  - 544*a33 *m1 *m2 *n1 *n2 *n3

               2   3   9   6   7   6        2   3   9   4   15
       + 64*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1 *n2

               2   3   9   4   13   2         2   3   9   4   11   4
       + 96*a33 *m1 *m2 *n1 *n2  *n3  - 64*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   4   9   6        2   3   9   2   15   2
       - 336*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   2   13   4         2   3   9   2   11   6
       + 32*a33 *m1 *m2 *n1 *n2  *n3  + 48*a33 *m1 *m2 *n1 *n2  *n3

               2   2   10   13   6        2   2   10   11   8
       + 20*a33 *m1 *m2  *n1  *n2  + 2*a33 *m1 *m2  *n1  *n2

                2   2   10   11   6   2         2   2   10   9   10
       + 150*a33 *m1 *m2  *n1  *n2 *n3  - 44*a33 *m1 *m2  *n1 *n2

               2   2   10   9   8   2          2   2   10   9   6   4
       + 88*a33 *m1 *m2  *n1 *n2 *n3  + 336*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   7   12          2   2   10   7   10   2
       - 14*a33 *m1 *m2  *n1 *n2   - 162*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   7   8   4          2   2   10   7   6   6
       + 240*a33 *m1 *m2  *n1 *n2 *n3  + 224*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   5   14         2   2   10   5   12   2
       + 12*a33 *m1 *m2  *n1 *n2   - 76*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   5   10   4          2   2   10   5   8   6
       - 168*a33 *m1 *m2  *n1 *n2  *n3  + 104*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   3   14   2         2   2   10   3   12   4
       + 24*a33 *m1 *m2  *n1 *n2  *n3  - 64*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   3   10   6        2   2   10      14   4
       - 112*a33 *m1 *m2  *n1 *n2  *n3  + 8*a33 *m1 *m2  *n1*n2  *n3

              2   2   10      12   6         2      11   12   7
       + 8*a33 *m1 *m2  *n1*n2  *n3  + 10*a33 *m1*m2  *n1  *n2

               2      11   10   9         2      11   10   7   2
       + 12*a33 *m1*m2  *n1  *n2  + 60*a33 *m1*m2  *n1  *n2 *n3

              2      11   8   11         2      11   8   9   2
       - 6*a33 *m1*m2  *n1 *n2   + 76*a33 *m1*m2  *n1 *n2 *n3

                2      11   8   7   4        2      11   6   13
       + 112*a33 *m1*m2  *n1 *n2 *n3  - 8*a33 *m1*m2  *n1 *n2

              2      11   6   11   2          2      11   6   9   4
       - 8*a33 *m1*m2  *n1 *n2  *n3  + 128*a33 *m1*m2  *n1 *n2 *n3

               2      11   6   7   6         2      11   4   13   2
       + 64*a33 *m1*m2  *n1 *n2 *n3  - 24*a33 *m1*m2  *n1 *n2  *n3

               2      11   4   9   6         2      11   2   13   4
       + 48*a33 *m1*m2  *n1 *n2 *n3  - 16*a33 *m1*m2  *n1 *n2  *n3

               2      11   2   11   6        2   12   11   8
       - 16*a33 *m1*m2  *n1 *n2  *n3  + 2*a33 *m2  *n1  *n2

              2   12   9   10         2   12   9   8   2        2   12   7   12
       + 4*a33 *m2  *n1 *n2   + 10*a33 *m2  *n1 *n2 *n3  + 2*a33 *m2  *n1 *n2

               2   12   7   10   2         2   12   7   8   4
       + 18*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2 *n3

              2   12   5   12   2         2   12   5   10   4
       + 8*a33 *m2  *n1 *n2  *n3  + 24*a33 *m2  *n1 *n2  *n3

              2   12   5   8   6        2   12   3   12   4
       + 8*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

              2   12   3   10   6                      11   10   8   3
       + 8*a33 *m2  *n1 *n2  *n3 ) + u3*v1*( - 2*a33*m1  *n1  *n2 *n3

                 11   10   6   5           11   10   4   7
       + 8*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   8   10   3           11   8   8   5
       - 2*a33*m1  *n1 *n2  *n3  + 8*a33*m1  *n1 *n2 *n3

                 11   8   6   7           10      11   9
       - 8*a33*m1  *n1 *n2 *n3  - 2*a33*m1  *m2*n1  *n2 *n3

                  10      11   7   3            10      11   5   5
       + 18*a33*m1  *m2*n1  *n2 *n3  - 40*a33*m1  *m2*n1  *n2 *n3

                  10      11   3   7           10      9   11
       + 24*a33*m1  *m2*n1  *n2 *n3  - 4*a33*m1  *m2*n1 *n2  *n3

                  10      9   9   3           10      9   7   5
       + 14*a33*m1  *m2*n1 *n2 *n3  + 8*a33*m1  *m2*n1 *n2 *n3

                  10      9   5   7           10      7   13
       - 40*a33*m1  *m2*n1 *n2 *n3  - 2*a33*m1  *m2*n1 *n2  *n3

                 10      7   11   3            10      7   9   5
       - 4*a33*m1  *m2*n1 *n2  *n3  + 48*a33*m1  *m2*n1 *n2 *n3

                  10      7   7   7            9   2   12   8
       - 64*a33*m1  *m2*n1 *n2 *n3  + 10*a33*m1 *m2 *n1  *n2 *n3

                  9   2   12   6   3            9   2   12   4   5
       - 52*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2 *n3

                  9   2   12   2   7            9   2   10   10
       - 24*a33*m1 *m2 *n1  *n2 *n3  + 10*a33*m1 *m2 *n1  *n2  *n3

                  9   2   10   8   3             9   2   10   6   5
       + 24*a33*m1 *m2 *n1  *n2 *n3  - 184*a33*m1 *m2 *n1  *n2 *n3

                   9   2   10   4   7            9   2   8   12
       + 168*a33*m1 *m2 *n1  *n2 *n3  - 10*a33*m1 *m2 *n1 *n2  *n3

                  9   2   8   10   3             9   2   8   8   5
       + 94*a33*m1 *m2 *n1 *n2  *n3  - 144*a33*m1 *m2 *n1 *n2 *n3

                  9   2   8   6   7            9   2   6   14
       - 32*a33*m1 *m2 *n1 *n2 *n3  - 10*a33*m1 *m2 *n1 *n2  *n3

                  9   2   6   12   3             9   2   6   10   5
       + 18*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   9   2   6   8   7            8   3   13   7
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1  *n2 *n3

                  8   3   13   5   3            8   3   13   3   5
       + 68*a33*m1 *m2 *n1  *n2 *n3  - 56*a33*m1 *m2 *n1  *n2 *n3

                 8   3   13      7            8   3   11   9
       + 8*a33*m1 *m2 *n1  *n2*n3  + 10*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   7   3             8   3   11   5   5
       - 196*a33*m1 *m2 *n1  *n2 *n3  + 424*a33*m1 *m2 *n1  *n2 *n3

                   8   3   11   3   7            8   3   9   11
       - 184*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1 *n2  *n3

                   8   3   9   9   3             8   3   9   7   5
       - 186*a33*m1 *m2 *n1 *n2 *n3  - 192*a33*m1 *m2 *n1 *n2 *n3

                   8   3   9   5   7            8   3   7   13
       + 480*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2  *n3

                   8   3   7   11   3             8   3   7   9   5
       + 158*a33*m1 *m2 *n1 *n2  *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                   8   3   7   7   7            8   3   5   15
       + 224*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2  *n3

                  8   3   5   13   3             8   3   5   11   5
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                   8   3   5   9   7            7   4   14   6
       - 448*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1  *n2 *n3

                  7   4   14   4   3            7   4   14   2   5
       - 42*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2 *n3

                  7   4   12   8                7   4   12   6   3
       - 60*a33*m1 *m2 *n1  *n2 *n3 + 334*a33*m1 *m2 *n1  *n2 *n3

                   7   4   12   4   5            7   4   12   2   7
       - 368*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2 *n3

                  7   4   10   10                7   4   10   8   3
       - 80*a33*m1 *m2 *n1  *n2  *n3 - 116*a33*m1 *m2 *n1  *n2 *n3

                   7   4   10   6   5             7   4   10   4   7
       + 960*a33*m1 *m2 *n1  *n2 *n3  - 608*a33*m1 *m2 *n1  *n2 *n3

                  7   4   8   12                7   4   8   10   3
       + 80*a33*m1 *m2 *n1 *n2  *n3 - 612*a33*m1 *m2 *n1 *n2  *n3

                   7   4   8   8   5             7   4   8   6   7
       + 448*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  7   4   6   14               7   4   6   12   3
       + 60*a33*m1 *m2 *n1 *n2  *n3 + 10*a33*m1 *m2 *n1 *n2  *n3

                   7   4   6   10   5             7   4   6   8   7
       - 896*a33*m1 *m2 *n1 *n2  *n3  + 784*a33*m1 *m2 *n1 *n2 *n3

                  7   4   4   16                7   4   4   14   3
       - 20*a33*m1 *m2 *n1 *n2  *n3 + 130*a33*m1 *m2 *n1 *n2  *n3

                   7   4   4   10   7            6   5   15   5
       - 560*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2 *n3

                  6   5   15   3   3            6   5   13   7
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 80*a33*m1 *m2 *n1  *n2 *n3

                   6   5   13   5   3             6   5   13   3   5
       - 234*a33*m1 *m2 *n1  *n2 *n3  + 112*a33*m1 *m2 *n1  *n2 *n3

                  6   5   11   9                6   5   11   7   3
       - 10*a33*m1 *m2 *n1  *n2 *n3 + 584*a33*m1 *m2 *n1  *n2 *n3

                    6   5   11   5   5             6   5   11   3   7
       - 1008*a33*m1 *m2 *n1  *n2 *n3  + 224*a33*m1 *m2 *n1  *n2 *n3

                   6   5   9   11                6   5   9   9   3
       - 200*a33*m1 *m2 *n1 *n2  *n3 + 508*a33*m1 *m2 *n1 *n2 *n3

                   6   5   9   7   5              6   5   9   5   7
       + 896*a33*m1 *m2 *n1 *n2 *n3  - 1120*a33*m1 *m2 *n1 *n2 *n3

                  6   5   7   13                6   5   7   11   3
       - 10*a33*m1 *m2 *n1 *n2  *n3 - 690*a33*m1 *m2 *n1 *n2  *n3

                    6   5   7   9   5             6   5   7   7   7
       + 1456*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                  6   5   5   15                6   5   5   13   3
       + 80*a33*m1 *m2 *n1 *n2  *n3 - 262*a33*m1 *m2 *n1 *n2  *n3

                   6   5   5   11   5              6   5   5   9   7
       - 672*a33*m1 *m2 *n1 *n2  *n3  + 1232*a33*m1 *m2 *n1 *n2 *n3

                  6   5   3   17                6   5   3   15   3
       - 10*a33*m1 *m2 *n1 *n2  *n3 + 108*a33*m1 *m2 *n1 *n2  *n3

                   6   5   3   13   5             6   5   3   11   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 448*a33*m1 *m2 *n1 *n2  *n3

                 5   6   16   4               5   6   14   6
       + 2*a33*m1 *m2 *n1  *n2 *n3 - 46*a33*m1 *m2 *n1  *n2 *n3

                  5   6   14   4   3             5   6   12   8
       + 60*a33*m1 *m2 *n1  *n2 *n3  + 102*a33*m1 *m2 *n1  *n2 *n3

                   5   6   12   6   3             5   6   12   4   5
       - 522*a33*m1 *m2 *n1  *n2 *n3  + 336*a33*m1 *m2 *n1  *n2 *n3

                   5   6   10   10                5   6   10   8   3
       + 150*a33*m1 *m2 *n1  *n2  *n3 + 298*a33*m1 *m2 *n1  *n2 *n3

                    5   6   10   6   5             5   6   10   4   7
       - 1456*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   5   6   8   12                 5   6   8   10   3
       - 150*a33*m1 *m2 *n1 *n2  *n3 + 1060*a33*m1 *m2 *n1 *n2  *n3

                   5   6   8   8   5              5   6   8   6   7
       - 112*a33*m1 *m2 *n1 *n2 *n3  - 1232*a33*m1 *m2 *n1 *n2 *n3

                   5   6   6   14                5   6   6   12   3
       - 102*a33*m1 *m2 *n1 *n2  *n3 - 192*a33*m1 *m2 *n1 *n2  *n3

                    5   6   6   10   5             5   6   6   8   7
       + 1680*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  5   6   4   16                5   6   4   14   3
       + 46*a33*m1 *m2 *n1 *n2  *n3 - 326*a33*m1 *m2 *n1 *n2  *n3

                   5   6   4   12   5              5   6   4   10   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 1120*a33*m1 *m2 *n1 *n2  *n3

                 5   6   2   18               5   6   2   16   3
       - 2*a33*m1 *m2 *n1 *n2  *n3 + 46*a33*m1 *m2 *n1 *n2  *n3

                   5   6   2   14   5             5   6   2   12   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2  *n3

                  4   7   15   5               4   7   13   7
       + 10*a33*m1 *m2 *n1  *n2 *n3 - 80*a33*m1 *m2 *n1  *n2 *n3

                   4   7   13   5   3            4   7   11   9
       + 150*a33*m1 *m2 *n1  *n2 *n3  + 10*a33*m1 *m2 *n1  *n2 *n3

                   4   7   11   7   3             4   7   11   5   5
       - 570*a33*m1 *m2 *n1  *n2 *n3  + 560*a33*m1 *m2 *n1  *n2 *n3

                   4   7   9   11                4   7   9   9   3
       + 200*a33*m1 *m2 *n1 *n2  *n3 - 340*a33*m1 *m2 *n1 *n2 *n3

                    4   7   9   7   5             4   7   9   5   7
       - 1120*a33*m1 *m2 *n1 *n2 *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                  4   7   7   13                4   7   7   11   3
       + 10*a33*m1 *m2 *n1 *n2  *n3 + 788*a33*m1 *m2 *n1 *n2  *n3

                    4   7   7   9   5             4   7   7   7   7
       - 1008*a33*m1 *m2 *n1 *n2 *n3  - 784*a33*m1 *m2 *n1 *n2 *n3

                  4   7   5   15                4   7   5   13   3
       - 80*a33*m1 *m2 *n1 *n2  *n3 + 234*a33*m1 *m2 *n1 *n2  *n3

                   4   7   5   11   5             4   7   5   9   7
       + 896*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                  4   7   3   17                4   7   3   15   3
       + 10*a33*m1 *m2 *n1 *n2  *n3 - 166*a33*m1 *m2 *n1 *n2  *n3

                   4   7   3   13   5             4   7   3   11   7
       + 176*a33*m1 *m2 *n1 *n2  *n3  + 608*a33*m1 *m2 *n1 *n2  *n3

                 4   7      17   3            4   7      15   5
       + 8*a33*m1 *m2 *n1*n2  *n3  - 48*a33*m1 *m2 *n1*n2  *n3

                  4   7      13   7            3   8   14   6
       - 64*a33*m1 *m2 *n1*n2  *n3  + 20*a33*m1 *m2 *n1  *n2 *n3

                  3   8   12   8                3   8   12   6   3
       - 60*a33*m1 *m2 *n1  *n2 *n3 + 200*a33*m1 *m2 *n1  *n2 *n3

                  3   8   10   10                3   8   10   8   3
       - 80*a33*m1 *m2 *n1  *n2  *n3 - 270*a33*m1 *m2 *n1  *n2 *n3

                   3   8   10   6   5            3   8   8   12
       + 560*a33*m1 *m2 *n1  *n2 *n3  + 80*a33*m1 *m2 *n1 *n2  *n3

                   3   8   8   10   3             3   8   8   8   5
       - 542*a33*m1 *m2 *n1 *n2  *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                   3   8   8   6   7            3   8   6   14
       + 448*a33*m1 *m2 *n1 *n2 *n3  + 60*a33*m1 *m2 *n1 *n2  *n3

                   3   8   6   12   3             3   8   6   10   5
       + 164*a33*m1 *m2 *n1 *n2  *n3  - 896*a33*m1 *m2 *n1 *n2  *n3

                   3   8   6   8   7            3   8   4   16
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2  *n3

                   3   8   4   14   3             3   8   4   12   5
       + 204*a33*m1 *m2 *n1 *n2  *n3  + 128*a33*m1 *m2 *n1 *n2  *n3

                   3   8   4   10   7            3   8   2   16   3
       - 480*a33*m1 *m2 *n1 *n2  *n3  - 32*a33*m1 *m2 *n1 *n2  *n3

                   3   8   2   14   5             3   8   2   12   7
       + 120*a33*m1 *m2 *n1 *n2  *n3  + 184*a33*m1 *m2 *n1 *n2  *n3

                 3   8   16   5           3   8   14   7
       - 8*a33*m1 *m2 *n2  *n3  - 8*a33*m1 *m2 *n2  *n3

                  2   9   13   7               2   9   11   9
       + 20*a33*m1 *m2 *n1  *n2 *n3 - 10*a33*m1 *m2 *n1  *n2 *n3

                   2   9   11   7   3            2   9   9   11
       + 150*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1 *n2  *n3

                  2   9   9   9   3             2   9   9   7   5
       + 18*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                  2   9   7   13                2   9   7   11   3
       - 10*a33*m1 *m2 *n1 *n2  *n3 - 256*a33*m1 *m2 *n1 *n2  *n3

                   2   9   7   9   5             2   9   7   7   7
       + 112*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                  2   9   5   15               2   9   5   13   3
       + 20*a33*m1 *m2 *n1 *n2  *n3 - 76*a33*m1 *m2 *n1 *n2  *n3

                   2   9   5   11   5            2   9   5   9   7
       - 320*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2 *n3

                  2   9   3   15   3            2   9   3   13   5
       + 48*a33*m1 *m2 *n1 *n2  *n3  - 72*a33*m1 *m2 *n1 *n2  *n3

                   2   9   3   11   7            2   9      15   5
       - 168*a33*m1 *m2 *n1 *n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  2   9      13   7               10   12   8
       + 24*a33*m1 *m2 *n1*n2  *n3  + 10*a33*m1*m2  *n1  *n2 *n3

                     10   10   10                  10   10   8   3
       + 10*a33*m1*m2  *n1  *n2  *n3 + 60*a33*m1*m2  *n1  *n2 *n3

                     10   8   12                  10   8   10   3
       - 10*a33*m1*m2  *n1 *n2  *n3 + 66*a33*m1*m2  *n1 *n2  *n3

                      10   8   8   5               10   6   14
       + 112*a33*m1*m2  *n1 *n2 *n3  - 10*a33*m1*m2  *n1 *n2  *n3

                     10   6   12   3                10   6   10   5
       - 26*a33*m1*m2  *n1 *n2  *n3  + 112*a33*m1*m2  *n1 *n2  *n3

                     10   6   8   7               10   4   14   3
       + 64*a33*m1*m2  *n1 *n2 *n3  - 32*a33*m1*m2  *n1 *n2  *n3

                     10   4   12   5               10   4   10   7
       - 24*a33*m1*m2  *n1 *n2  *n3  + 40*a33*m1*m2  *n1 *n2  *n3

                     10   2   14   5               10   2   12   7
       - 24*a33*m1*m2  *n1 *n2  *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                 11   11   9              11   9   11
       + 2*a33*m2  *n1  *n2 *n3 + 4*a33*m2  *n1 *n2  *n3

                  11   9   9   3           11   7   13
       + 10*a33*m2  *n1 *n2 *n3  + 2*a33*m2  *n1 *n2  *n3

                  11   7   11   3            11   7   9   5
       + 18*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

                 11   5   13   3            11   5   11   5
       + 8*a33*m2  *n1 *n2  *n3  + 24*a33*m2  *n1 *n2  *n3

                 11   5   9   7           11   3   13   5
       + 8*a33*m2  *n1 *n2 *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   3   11   7                   2   11      11   6   2
       + 8*a33*m2  *n1 *n2  *n3 ) + u3*v2*v3*(2*a33 *m1  *m2*n1  *n2 *n3

              2   11      11   4   4        2   11      11   2   6
       - 8*a33 *m1  *m2*n1  *n2 *n3  + 8*a33 *m1  *m2*n1  *n2 *n3

              2   11      9   8   2        2   11      9   6   4
       + 2*a33 *m1  *m2*n1 *n2 *n3  - 8*a33 *m1  *m2*n1 *n2 *n3

              2   11      9   4   6        2   10   2   12   7
       + 8*a33 *m1  *m2*n1 *n2 *n3  + 2*a33 *m1  *m2 *n1  *n2

               2   10   2   12   5   2         2   10   2   12   3   4
       - 16*a33 *m1  *m2 *n1  *n2 *n3  + 32*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   12      6        2   10   2   10   9
       - 16*a33 *m1  *m2 *n1  *n2*n3  + 4*a33 *m1  *m2 *n1  *n2

               2   10   2   10   7   2         2   10   2   10   5   4
       - 10*a33 *m1  *m2 *n1  *n2 *n3  - 24*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   10   3   6        2   10   2   8   11
       + 56*a33 *m1  *m2 *n1  *n2 *n3  + 2*a33 *m1  *m2 *n1 *n2

              2   10   2   8   9   2         2   10   2   8   7   4
       + 6*a33 *m1  *m2 *n1 *n2 *n3  - 56*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   8   5   6        2   9   3   13   6
       + 72*a33 *m1  *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2

               2   9   3   13   4   2         2   9   3   13   2   4
       + 36*a33 *m1 *m2 *n1  *n2 *n3  - 40*a33 *m1 *m2 *n1  *n2 *n3

              2   9   3   13   6        2   9   3   11   8
       + 8*a33 *m1 *m2 *n1  *n3  - 4*a33 *m1 *m2 *n1  *n2

               2   9   3   11   6   2          2   9   3   11   4   4
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 200*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   11   2   6         2   9   3   9   10
       - 136*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2

                2   9   3   9   8   2         2   9   3   9   6   4
       - 102*a33 *m1 *m2 *n1 *n2 *n3  + 80*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   9   4   6         2   9   3   7   12
       + 144*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

               2   9   3   7   10   2          2   9   3   7   8   4
       - 14*a33 *m1 *m2 *n1 *n2  *n3  - 160*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   7   6   6         2   8   4   14   5
       + 288*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1  *n2

               2   8   4   14   3   2         2   8   4   14      4
       - 32*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2*n3

               2   8   4   12   7          2   8   4   12   5   2
       - 24*a33 *m1 *m2 *n1  *n2  + 196*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   12   3   4         2   8   4   12      6
       - 296*a33 *m1 *m2 *n1  *n2 *n3  + 72*a33 *m1 *m2 *n1  *n2*n3

               2   8   4   10   9         2   8   4   10   7   2
       - 54*a33 *m1 *m2 *n1  *n2  + 60*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   10   5   4          2   8   4   10   3   6
       + 456*a33 *m1 *m2 *n1  *n2 *n3  - 504*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   8   11          2   8   4   8   9   2
       + 12*a33 *m1 *m2 *n1 *n2   - 266*a33 *m1 *m2 *n1 *n2 *n3

                2   8   4   8   7   4         2   8   4   8   5   6
       + 544*a33 *m1 *m2 *n1 *n2 *n3  + 96*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   6   13         2   8   4   6   11   2
       + 30*a33 *m1 *m2 *n1 *n2   - 98*a33 *m1 *m2 *n1 *n2  *n3

                2   8   4   6   9   4          2   8   4   6   7   6
       - 224*a33 *m1 *m2 *n1 *n2 *n3  + 672*a33 *m1 *m2 *n1 *n2 *n3

              2   7   5   15   4         2   7   5   15   2   2
       - 8*a33 *m1 *m2 *n1  *n2  + 10*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   13   6          2   7   5   13   4   2
       + 56*a33 *m1 *m2 *n1  *n2  - 206*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   13   2   4         2   7   5   11   8
       + 128*a33 *m1 *m2 *n1  *n2 *n3  + 16*a33 *m1 *m2 *n1  *n2

                2   7   5   11   6   2          2   7   5   11   4   4
       + 372*a33 *m1 *m2 *n1  *n2 *n3  - 928*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   11   2   6          2   7   5   9   10
       + 288*a33 *m1 *m2 *n1  *n2 *n3  - 128*a33 *m1 *m2 *n1 *n2

                2   7   5   9   8   2          2   7   5   9   6   4
       + 532*a33 *m1 *m2 *n1 *n2 *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

                 2   7   5   9   4   6         2   7   5   7   12
       - 1056*a33 *m1 *m2 *n1 *n2 *n3  - 40*a33 *m1 *m2 *n1 *n2

                2   7   5   7   10   2           2   7   5   7   8   4
       - 266*a33 *m1 *m2 *n1 *n2  *n3  + 1232*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   7   6   6         2   7   5   5   14
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 40*a33 *m1 *m2 *n1 *n2

                2   7   5   5   12   2          2   7   5   5   10   4
       - 210*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

                 2   7   5   5   8   6        2   6   6   16   3
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1  *n2

               2   6   6   14   5         2   6   6   14   3   2
       - 44*a33 *m1 *m2 *n1  *n2  + 70*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   12   7          2   6   6   12   5   2
       + 86*a33 *m1 *m2 *n1  *n2  - 546*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   12   3   4          2   6   6   10   9
       + 448*a33 *m1 *m2 *n1  *n2 *n3  + 152*a33 *m1 *m2 *n1  *n2

                2   6   6   10   7   2           2   6   6   10   5   4
       + 140*a33 *m1 *m2 *n1  *n2 *n3  - 1568*a33 *m1 *m2 *n1  *n2 *n3

                2   6   6   10   3   6          2   6   6   8   11
       + 672*a33 *m1 *m2 *n1  *n2 *n3  - 110*a33 *m1 *m2 *n1 *n2

                 2   6   6   8   9   2          2   6   6   8   7   4
       + 1036*a33 *m1 *m2 *n1 *n2 *n3  - 672*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   6   8   5   6          2   6   6   6   13
       - 1344*a33 *m1 *m2 *n1 *n2 *n3  - 100*a33 *m1 *m2 *n1 *n2

               2   6   6   6   11   2           2   6   6   6   9   4
       + 42*a33 *m1 *m2 *n1 *n2  *n3  + 1456*a33 *m1 *m2 *n1 *n2 *n3

                 2   6   6   6   7   6         2   6   6   4   15
       - 1008*a33 *m1 *m2 *n1 *n2 *n3  + 30*a33 *m1 *m2 *n1 *n2

                2   6   6   4   13   2          2   6   6   4   11   4
       - 238*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2  *n3

                 2   6   6   4   9   6         2   5   7   15   4
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1  *n2

               2   5   7   13   6          2   5   7   13   4   2
       - 96*a33 *m1 *m2 *n1  *n2  + 210*a33 *m1 *m2 *n1  *n2 *n3

               2   5   7   11   8          2   5   7   11   6   2
       + 12*a33 *m1 *m2 *n1  *n2  - 742*a33 *m1 *m2 *n1  *n2 *n3

                2   5   7   11   4   4          2   5   7   9   10
       + 896*a33 *m1 *m2 *n1  *n2 *n3  + 240*a33 *m1 *m2 *n1 *n2

                2   5   7   9   8   2           2   5   7   9   6   4
       - 532*a33 *m1 *m2 *n1 *n2 *n3  - 1456*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   7   9   4   6         2   5   7   7   12
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

                2   5   7   7   10   2           2   5   7   7   8   4
       + 924*a33 *m1 *m2 *n1 *n2  *n3  - 1680*a33 *m1 *m2 *n1 *n2 *n3

                 2   5   7   7   6   6         2   5   7   5   14
       - 1008*a33 *m1 *m2 *n1 *n2 *n3  - 96*a33 *m1 *m2 *n1 *n2

                2   5   7   5   12   2          2   5   7   5   10   4
       + 350*a33 *m1 *m2 *n1 *n2  *n3  + 896*a33 *m1 *m2 *n1 *n2  *n3

                 2   5   7   5   8   6         2   5   7   3   16
       - 1344*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

                2   5   7   3   14   2          2   5   7   3   12   4
       - 154*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   3   10   6         2   4   8   14   5
       + 672*a33 *m1 *m2 *n1 *n2  *n3  + 30*a33 *m1 *m2 *n1  *n2

                2   4   8   12   7          2   4   8   12   5   2
       - 100*a33 *m1 *m2 *n1  *n2  + 350*a33 *m1 *m2 *n1  *n2 *n3

                2   4   8   10   9          2   4   8   10   7   2
       - 110*a33 *m1 *m2 *n1  *n2  - 490*a33 *m1 *m2 *n1  *n2 *n3

                 2   4   8   10   5   4          2   4   8   8   11
       + 1120*a33 *m1 *m2 *n1  *n2 *n3  + 152*a33 *m1 *m2 *n1 *n2

                2   4   8   8   9   2          2   4   8   8   7   4
       - 924*a33 *m1 *m2 *n1 *n2 *n3  - 560*a33 *m1 *m2 *n1 *n2 *n3

                 2   4   8   8   5   6         2   4   8   6   13
       + 1008*a33 *m1 *m2 *n1 *n2 *n3  + 86*a33 *m1 *m2 *n1 *n2

                2   4   8   6   11   2           2   4   8   6   9   4
       + 308*a33 *m1 *m2 *n1 *n2  *n3  - 1680*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   6   7   6         2   4   8   4   15
       - 336*a33 *m1 *m2 *n1 *n2 *n3  - 44*a33 *m1 *m2 *n1 *n2

                2   4   8   4   13   2          2   4   8   4   11   4
       + 338*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2  *n3

                 2   4   8   4   9   6        2   4   8   2   17
       - 1056*a33 *m1 *m2 *n1 *n2 *n3  + 2*a33 *m1 *m2 *n1 *n2

               2   4   8   2   15   2          2   4   8   2   13   4
       - 54*a33 *m1 *m2 *n1 *n2  *n3  + 160*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   2   11   6         2   3   9   13   6
       + 288*a33 *m1 *m2 *n1 *n2  *n3  + 40*a33 *m1 *m2 *n1  *n2

               2   3   9   11   8          2   3   9   11   6   2
       - 40*a33 *m1 *m2 *n1  *n2  + 350*a33 *m1 *m2 *n1  *n2 *n3

                2   3   9   9   10         2   3   9   9   8   2
       - 128*a33 *m1 *m2 *n1 *n2   - 42*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   9   6   4         2   3   9   7   12
       + 896*a33 *m1 *m2 *n1 *n2 *n3  + 16*a33 *m1 *m2 *n1 *n2

                2   3   9   7   10   2          2   3   9   7   8   4
       - 644*a33 *m1 *m2 *n1 *n2  *n3  + 224*a33 *m1 *m2 *n1 *n2 *n3

                2   3   9   7   6   6         2   3   9   5   14
       + 672*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2

                2   3   9   5   12   2          2   3   9   5   10   4
       - 100*a33 *m1 *m2 *n1 *n2  *n3  - 864*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   5   8   6        2   3   9   3   16
       + 96*a33 *m1 *m2 *n1 *n2 *n3  - 8*a33 *m1 *m2 *n1 *n2

                2   3   9   3   14   2          2   3   9   3   12   4
       + 144*a33 *m1 *m2 *n1 *n2  *n3  - 136*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   3   10   6        2   3   9      16   2
       - 504*a33 *m1 *m2 *n1 *n2  *n3  - 8*a33 *m1 *m2 *n1*n2  *n3

               2   3   9      14   4         2   3   9      12   6
       + 56*a33 *m1 *m2 *n1*n2  *n3  + 72*a33 *m1 *m2 *n1*n2  *n3

               2   2   10   12   7         2   2   10   10   9
       + 30*a33 *m1 *m2  *n1  *n2  + 12*a33 *m1 *m2  *n1  *n2

                2   2   10   10   7   2         2   2   10   8   11
       + 210*a33 *m1 *m2  *n1  *n2 *n3  - 54*a33 *m1 *m2  *n1 *n2

                2   2   10   8   9   2          2   2   10   8   7   4
       + 154*a33 *m1 *m2  *n1 *n2 *n3  + 448*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   6   13          2   2   10   6   11   2
       - 24*a33 *m1 *m2  *n1 *n2   - 188*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   6   9   4          2   2   10   6   7   6
       + 352*a33 *m1 *m2  *n1 *n2 *n3  + 288*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   4   15          2   2   10   4   13   2
       + 12*a33 *m1 *m2  *n1 *n2   - 108*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   4   11   4          2   2   10   4   9   6
       - 192*a33 *m1 *m2  *n1 *n2  *n3  + 144*a33 *m1 *m2  *n1 *n2 *n3

               2   2   10   2   15   2         2   2   10   2   13   4
       + 24*a33 *m1 *m2  *n1 *n2  *n3  - 88*a33 *m1 *m2  *n1 *n2  *n3

                2   2   10   2   11   6        2   2   10   15   4
       - 136*a33 *m1 *m2  *n1 *n2  *n3  + 8*a33 *m1 *m2  *n2  *n3

              2   2   10   13   6         2      11   11   8
       + 8*a33 *m1 *m2  *n2  *n3  + 12*a33 *m1*m2  *n1  *n2

               2      11   9   10         2      11   9   8   2
       + 16*a33 *m1*m2  *n1 *n2   + 70*a33 *m1*m2  *n1 *n2 *n3

              2      11   7   12         2      11   7   10   2
       - 4*a33 *m1*m2  *n1 *n2   + 94*a33 *m1*m2  *n1 *n2  *n3

                2      11   7   8   4        2      11   5   14
       + 128*a33 *m1*m2  *n1 *n2 *n3  - 8*a33 *m1*m2  *n1 *n2

                2      11   5   10   4         2      11   5   8   6
       + 152*a33 *m1*m2  *n1 *n2  *n3  + 72*a33 *m1*m2  *n1 *n2 *n3

               2      11   3   14   2        2      11   3   12   4
       - 24*a33 *m1*m2  *n1 *n2  *n3  + 8*a33 *m1*m2  *n1 *n2  *n3

               2      11   3   10   6         2      11      14   4
       + 56*a33 *m1*m2  *n1 *n2  *n3  - 16*a33 *m1*m2  *n1*n2  *n3

               2      11      12   6        2   12   10   9
       - 16*a33 *m1*m2  *n1*n2  *n3  + 2*a33 *m2  *n1  *n2

              2   12   8   11         2   12   8   9   2        2   12   6   13
       + 4*a33 *m2  *n1 *n2   + 10*a33 *m2  *n1 *n2 *n3  + 2*a33 *m2  *n1 *n2

               2   12   6   11   2         2   12   6   9   4
       + 18*a33 *m2  *n1 *n2  *n3  + 16*a33 *m2  *n1 *n2 *n3

              2   12   4   13   2         2   12   4   11   4
       + 8*a33 *m2  *n1 *n2  *n3  + 24*a33 *m2  *n1 *n2  *n3

              2   12   4   9   6        2   12   2   13   4
       + 8*a33 *m2  *n1 *n2 *n3  + 8*a33 *m2  *n1 *n2  *n3

              2   12   2   11   6                   11   11   7   3
       + 8*a33 *m2  *n1 *n2  *n3 ) + u3*v2*(2*a33*m1  *n1  *n2 *n3

                 11   11   5   5           11   11   3   7
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 11   9   9   3           11   9   7   5
       + 2*a33*m1  *n1 *n2 *n3  - 8*a33*m1  *n1 *n2 *n3

                 11   9   5   7           10      12   8
       + 8*a33*m1  *n1 *n2 *n3  + 2*a33*m1  *m2*n1  *n2 *n3

                  10      12   6   3            10      12   4   5
       - 18*a33*m1  *m2*n1  *n2 *n3  + 40*a33*m1  *m2*n1  *n2 *n3

                  10      12   2   7           10      10   10
       - 24*a33*m1  *m2*n1  *n2 *n3  + 4*a33*m1  *m2*n1  *n2  *n3

                  10      10   8   3           10      10   6   5
       - 14*a33*m1  *m2*n1  *n2 *n3  - 8*a33*m1  *m2*n1  *n2 *n3

                  10      10   4   7           10      8   12
       + 40*a33*m1  *m2*n1  *n2 *n3  + 2*a33*m1  *m2*n1 *n2  *n3

                 10      8   10   3            10      8   8   5
       + 4*a33*m1  *m2*n1 *n2  *n3  - 48*a33*m1  *m2*n1 *n2 *n3

                  10      8   6   7            9   2   13   7
       + 64*a33*m1  *m2*n1 *n2 *n3  - 10*a33*m1 *m2 *n1  *n2 *n3

                  9   2   13   5   3            9   2   13   3   5
       + 52*a33*m1 *m2 *n1  *n2 *n3  - 72*a33*m1 *m2 *n1  *n2 *n3

                  9   2   13      7            9   2   11   9
       + 24*a33*m1 *m2 *n1  *n2*n3  - 10*a33*m1 *m2 *n1  *n2 *n3

                  9   2   11   7   3             9   2   11   5   5
       - 24*a33*m1 *m2 *n1  *n2 *n3  + 184*a33*m1 *m2 *n1  *n2 *n3

                   9   2   11   3   7            9   2   9   11
       - 168*a33*m1 *m2 *n1  *n2 *n3  + 10*a33*m1 *m2 *n1 *n2  *n3

                  9   2   9   9   3             9   2   9   7   5
       - 94*a33*m1 *m2 *n1 *n2 *n3  + 144*a33*m1 *m2 *n1 *n2 *n3

                  9   2   9   5   7            9   2   7   13
       + 32*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2  *n3

                  9   2   7   11   3             9   2   7   9   5
       - 18*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

                   9   2   7   7   7            8   3   14   6
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1  *n2 *n3

                  8   3   14   4   3            8   3   14   2   5
       - 68*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                 8   3   14   7            8   3   12   8
       - 8*a33*m1 *m2 *n1  *n3  - 10*a33*m1 *m2 *n1  *n2 *n3

                   8   3   12   6   3             8   3   12   4   5
       + 196*a33*m1 *m2 *n1  *n2 *n3  - 424*a33*m1 *m2 *n1  *n2 *n3

                   8   3   12   2   7            8   3   10   10
       + 184*a33*m1 *m2 *n1  *n2 *n3  - 60*a33*m1 *m2 *n1  *n2  *n3

                   8   3   10   8   3             8   3   10   6   5
       + 186*a33*m1 *m2 *n1  *n2 *n3  + 192*a33*m1 *m2 *n1  *n2 *n3

                   8   3   10   4   7            8   3   8   12
       - 480*a33*m1 *m2 *n1  *n2 *n3  - 10*a33*m1 *m2 *n1 *n2  *n3

                   8   3   8   10   3             8   3   8   8   5
       - 158*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                   8   3   8   6   7            8   3   6   14
       - 224*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2  *n3

                  8   3   6   12   3             8   3   6   10   5
       - 80*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                   8   3   6   8   7            7   4   15   5
       + 448*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1  *n2 *n3

                  7   4   15   3   3            7   4   15      5
       + 42*a33*m1 *m2 *n1  *n2 *n3  - 16*a33*m1 *m2 *n1  *n2*n3

                  7   4   13   7                7   4   13   5   3
       + 60*a33*m1 *m2 *n1  *n2 *n3 - 334*a33*m1 *m2 *n1  *n2 *n3

                   7   4   13   3   5            7   4   13      7
       + 368*a33*m1 *m2 *n1  *n2 *n3  - 64*a33*m1 *m2 *n1  *n2*n3

                  7   4   11   9                7   4   11   7   3
       + 80*a33*m1 *m2 *n1  *n2 *n3 + 116*a33*m1 *m2 *n1  *n2 *n3

                   7   4   11   5   5             7   4   11   3   7
       - 960*a33*m1 *m2 *n1  *n2 *n3  + 608*a33*m1 *m2 *n1  *n2 *n3

                  7   4   9   11                7   4   9   9   3
       - 80*a33*m1 *m2 *n1 *n2  *n3 + 612*a33*m1 *m2 *n1 *n2 *n3

                   7   4   9   7   5             7   4   9   5   7
       - 448*a33*m1 *m2 *n1 *n2 *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                  7   4   7   13               7   4   7   11   3
       - 60*a33*m1 *m2 *n1 *n2  *n3 - 10*a33*m1 *m2 *n1 *n2  *n3

                   7   4   7   9   5             7   4   7   7   7
       + 896*a33*m1 *m2 *n1 *n2 *n3  - 784*a33*m1 *m2 *n1 *n2 *n3

                  7   4   5   15                7   4   5   13   3
       + 20*a33*m1 *m2 *n1 *n2  *n3 - 130*a33*m1 *m2 *n1 *n2  *n3

                   7   4   5   9   7            6   5   16   4
       + 560*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1  *n2 *n3

                  6   5   16   2   3            6   5   14   6
       - 10*a33*m1 *m2 *n1  *n2 *n3  - 80*a33*m1 *m2 *n1  *n2 *n3

                   6   5   14   4   3             6   5   14   2   5
       + 234*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   5   12   8                6   5   12   6   3
       + 10*a33*m1 *m2 *n1  *n2 *n3 - 584*a33*m1 *m2 *n1  *n2 *n3

                    6   5   12   4   5             6   5   12   2   7
       + 1008*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   10                6   5   10   8   3
       + 200*a33*m1 *m2 *n1  *n2  *n3 - 508*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   6   5              6   5   10   4   7
       - 896*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                  6   5   8   12                6   5   8   10   3
       + 10*a33*m1 *m2 *n1 *n2  *n3 + 690*a33*m1 *m2 *n1 *n2  *n3

                    6   5   8   8   5             6   5   8   6   7
       - 1456*a33*m1 *m2 *n1 *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  6   5   6   14                6   5   6   12   3
       - 80*a33*m1 *m2 *n1 *n2  *n3 + 262*a33*m1 *m2 *n1 *n2  *n3

                   6   5   6   10   5              6   5   6   8   7
       + 672*a33*m1 *m2 *n1 *n2  *n3  - 1232*a33*m1 *m2 *n1 *n2 *n3

                  6   5   4   16                6   5   4   14   3
       + 10*a33*m1 *m2 *n1 *n2  *n3 - 108*a33*m1 *m2 *n1 *n2  *n3

                   6   5   4   12   5             6   5   4   10   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  + 448*a33*m1 *m2 *n1 *n2  *n3

                 5   6   17   3               5   6   15   5
       - 2*a33*m1 *m2 *n1  *n2 *n3 + 46*a33*m1 *m2 *n1  *n2 *n3

                  5   6   15   3   3             5   6   13   7
       - 60*a33*m1 *m2 *n1  *n2 *n3  - 102*a33*m1 *m2 *n1  *n2 *n3

                   5   6   13   5   3             5   6   13   3   5
       + 522*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                   5   6   11   9                5   6   11   7   3
       - 150*a33*m1 *m2 *n1  *n2 *n3 - 298*a33*m1 *m2 *n1  *n2 *n3

                    5   6   11   5   5             5   6   11   3   7
       + 1456*a33*m1 *m2 *n1  *n2 *n3  - 448*a33*m1 *m2 *n1  *n2 *n3

                   5   6   9   11                 5   6   9   9   3
       + 150*a33*m1 *m2 *n1 *n2  *n3 - 1060*a33*m1 *m2 *n1 *n2 *n3

                   5   6   9   7   5              5   6   9   5   7
       + 112*a33*m1 *m2 *n1 *n2 *n3  + 1232*a33*m1 *m2 *n1 *n2 *n3

                   5   6   7   13                5   6   7   11   3
       + 102*a33*m1 *m2 *n1 *n2  *n3 + 192*a33*m1 *m2 *n1 *n2  *n3

                    5   6   7   9   5             5   6   7   7   7
       - 1680*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                  5   6   5   15                5   6   5   13   3
       - 46*a33*m1 *m2 *n1 *n2  *n3 + 326*a33*m1 *m2 *n1 *n2  *n3

                   5   6   5   11   5              5   6   5   9   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  - 1120*a33*m1 *m2 *n1 *n2 *n3

                 5   6   3   17               5   6   3   15   3
       + 2*a33*m1 *m2 *n1 *n2  *n3 - 46*a33*m1 *m2 *n1 *n2  *n3

                   5   6   3   13   5             5   6   3   11   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                  4   7   16   4               4   7   14   6
       - 10*a33*m1 *m2 *n1  *n2 *n3 + 80*a33*m1 *m2 *n1  *n2 *n3

                   4   7   14   4   3            4   7   12   8
       - 150*a33*m1 *m2 *n1  *n2 *n3  - 10*a33*m1 *m2 *n1  *n2 *n3

                   4   7   12   6   3             4   7   12   4   5
       + 570*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                   4   7   10   10                4   7   10   8   3
       - 200*a33*m1 *m2 *n1  *n2  *n3 + 340*a33*m1 *m2 *n1  *n2 *n3

                    4   7   10   6   5             4   7   10   4   7
       + 1120*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                  4   7   8   12                4   7   8   10   3
       - 10*a33*m1 *m2 *n1 *n2  *n3 - 788*a33*m1 *m2 *n1 *n2  *n3

                    4   7   8   8   5             4   7   8   6   7
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 784*a33*m1 *m2 *n1 *n2 *n3

                  4   7   6   14                4   7   6   12   3
       + 80*a33*m1 *m2 *n1 *n2  *n3 - 234*a33*m1 *m2 *n1 *n2  *n3

                   4   7   6   10   5             4   7   6   8   7
       - 896*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  4   7   4   16                4   7   4   14   3
       - 10*a33*m1 *m2 *n1 *n2  *n3 + 166*a33*m1 *m2 *n1 *n2  *n3

                   4   7   4   12   5             4   7   4   10   7
       - 176*a33*m1 *m2 *n1 *n2  *n3  - 608*a33*m1 *m2 *n1 *n2  *n3

                 4   7   2   16   3            4   7   2   14   5
       - 8*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

                  4   7   2   12   7            3   8   15   5
       + 64*a33*m1 *m2 *n1 *n2  *n3  - 20*a33*m1 *m2 *n1  *n2 *n3

                  3   8   13   7                3   8   13   5   3
       + 60*a33*m1 *m2 *n1  *n2 *n3 - 200*a33*m1 *m2 *n1  *n2 *n3

                  3   8   11   9                3   8   11   7   3
       + 80*a33*m1 *m2 *n1  *n2 *n3 + 270*a33*m1 *m2 *n1  *n2 *n3

                   3   8   11   5   5            3   8   9   11
       - 560*a33*m1 *m2 *n1  *n2 *n3  - 80*a33*m1 *m2 *n1 *n2  *n3

                   3   8   9   9   3             3   8   9   7   5
       + 542*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                   3   8   9   5   7            3   8   7   13
       - 448*a33*m1 *m2 *n1 *n2 *n3  - 60*a33*m1 *m2 *n1 *n2  *n3

                   3   8   7   11   3             3   8   7   9   5
       - 164*a33*m1 *m2 *n1 *n2  *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                   3   8   7   7   7            3   8   5   15
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2  *n3

                   3   8   5   13   3             3   8   5   11   5
       - 204*a33*m1 *m2 *n1 *n2  *n3  - 128*a33*m1 *m2 *n1 *n2  *n3

                   3   8   5   9   7            3   8   3   15   3
       + 480*a33*m1 *m2 *n1 *n2 *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                   3   8   3   13   5             3   8   3   11   7
       - 120*a33*m1 *m2 *n1 *n2  *n3  - 184*a33*m1 *m2 *n1 *n2  *n3

                 3   8      15   5           3   8      13   7
       + 8*a33*m1 *m2 *n1*n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                  2   9   14   6               2   9   12   8
       - 20*a33*m1 *m2 *n1  *n2 *n3 + 10*a33*m1 *m2 *n1  *n2 *n3

                   2   9   12   6   3            2   9   10   10
       - 150*a33*m1 *m2 *n1  *n2 *n3  + 60*a33*m1 *m2 *n1  *n2  *n3

                  2   9   10   8   3             2   9   10   6   5
       - 18*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                  2   9   8   12                2   9   8   10   3
       + 10*a33*m1 *m2 *n1 *n2  *n3 + 256*a33*m1 *m2 *n1 *n2  *n3

                   2   9   8   8   5             2   9   8   6   7
       - 112*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                  2   9   6   14               2   9   6   12   3
       - 20*a33*m1 *m2 *n1 *n2  *n3 + 76*a33*m1 *m2 *n1 *n2  *n3

                   2   9   6   10   5            2   9   6   8   7
       + 320*a33*m1 *m2 *n1 *n2  *n3  - 32*a33*m1 *m2 *n1 *n2 *n3

                  2   9   4   14   3            2   9   4   12   5
       - 48*a33*m1 *m2 *n1 *n2  *n3  + 72*a33*m1 *m2 *n1 *n2  *n3

                   2   9   4   10   7            2   9   2   14   5
       + 168*a33*m1 *m2 *n1 *n2  *n3  - 24*a33*m1 *m2 *n1 *n2  *n3

                  2   9   2   12   7               10   13   7
       - 24*a33*m1 *m2 *n1 *n2  *n3  - 10*a33*m1*m2  *n1  *n2 *n3

                     10   11   9                  10   11   7   3
       - 10*a33*m1*m2  *n1  *n2 *n3 - 60*a33*m1*m2  *n1  *n2 *n3

                     10   9   11                  10   9   9   3
       + 10*a33*m1*m2  *n1 *n2  *n3 - 66*a33*m1*m2  *n1 *n2 *n3

                      10   9   7   5               10   7   13
       - 112*a33*m1*m2  *n1 *n2 *n3  + 10*a33*m1*m2  *n1 *n2  *n3

                     10   7   11   3                10   7   9   5
       + 26*a33*m1*m2  *n1 *n2  *n3  - 112*a33*m1*m2  *n1 *n2 *n3

                     10   7   7   7               10   5   13   3
       - 64*a33*m1*m2  *n1 *n2 *n3  + 32*a33*m1*m2  *n1 *n2  *n3

                     10   5   11   5               10   5   9   7
       + 24*a33*m1*m2  *n1 *n2  *n3  - 40*a33*m1*m2  *n1 *n2 *n3

                     10   3   13   5               10   3   11   7
       + 24*a33*m1*m2  *n1 *n2  *n3  + 24*a33*m1*m2  *n1 *n2  *n3

                 11   12   8              11   10   10
       - 2*a33*m2  *n1  *n2 *n3 - 4*a33*m2  *n1  *n2  *n3

                  11   10   8   3           11   8   12
       - 10*a33*m2  *n1  *n2 *n3  - 2*a33*m2  *n1 *n2  *n3

                  11   8   10   3            11   8   8   5
       - 18*a33*m2  *n1 *n2  *n3  - 16*a33*m2  *n1 *n2 *n3

                 11   6   12   3            11   6   10   5
       - 8*a33*m2  *n1 *n2  *n3  - 24*a33*m2  *n1 *n2  *n3

                 11   6   8   7           11   4   12   5
       - 8*a33*m2  *n1 *n2 *n3  - 8*a33*m2  *n1 *n2  *n3

                 11   4   10   7         2        2   12   10   6   3
       - 8*a33*m2  *n1 *n2  *n3 ) + u3*v3 *( - a33 *m1  *n1  *n2 *n3

              2   12   10   4   5        2   12   10   2   7
       + 4*a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

            2   12   8   8   3        2   12   8   6   5
       - a33 *m1  *n1 *n2 *n3  + 4*a33 *m1  *n1 *n2 *n3

              2   12   8   4   7      2   11      11   7
       - 4*a33 *m1  *n1 *n2 *n3  - a33 *m1  *m2*n1  *n2 *n3

              2   11      11   5   3         2   11      11   3   5
       + 8*a33 *m1  *m2*n1  *n2 *n3  - 16*a33 *m1  *m2*n1  *n2 *n3

              2   11      11      7        2   11      9   9
       + 8*a33 *m1  *m2*n1  *n2*n3  - 2*a33 *m1  *m2*n1 *n2 *n3

              2   11      9   7   3        2   11      9   5   5
       + 6*a33 *m1  *m2*n1 *n2 *n3  + 8*a33 *m1  *m2*n1 *n2 *n3

               2   11      9   3   7      2   11      7   11
       - 24*a33 *m1  *m2*n1 *n2 *n3  - a33 *m1  *m2*n1 *n2  *n3

              2   11      7   9   3         2   11      7   7   5
       - 2*a33 *m1  *m2*n1 *n2 *n3  + 24*a33 *m1  *m2*n1 *n2 *n3

               2   11      7   5   7        2   10   2   12   6
       - 32*a33 *m1  *m2*n1 *n2 *n3  + 4*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   12   4   3         2   10   2   12   2   5
       - 18*a33 *m1  *m2 *n1  *n2 *n3  + 20*a33 *m1  *m2 *n1  *n2 *n3

              2   10   2   12   7        2   10   2   10   8
       - 4*a33 *m1  *m2 *n1  *n3  + 3*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   10   6   3         2   10   2   10   4   5
       + 17*a33 *m1  *m2 *n1  *n2 *n3  - 80*a33 *m1  *m2 *n1  *n2 *n3

               2   10   2   10   2   7        2   10   2   8   10
       + 56*a33 *m1  *m2 *n1  *n2 *n3  - 6*a33 *m1  *m2 *n1 *n2  *n3

               2   10   2   8   8   3         2   10   2   8   6   5
       + 44*a33 *m1  *m2 *n1 *n2 *n3  - 44*a33 *m1  *m2 *n1 *n2 *n3

               2   10   2   8   4   7        2   10   2   6   12
       - 52*a33 *m1  *m2 *n1 *n2 *n3  - 5*a33 *m1  *m2 *n1 *n2  *n3

              2   10   2   6   10   3         2   10   2   6   8   5
       + 9*a33 *m1  *m2 *n1 *n2  *n3  + 56*a33 *m1  *m2 *n1 *n2 *n3

                2   10   2   6   6   7        2   9   3   13   5
       - 112*a33 *m1  *m2 *n1 *n2 *n3  - 6*a33 *m1 *m2 *n1  *n2 *n3

               2   9   3   13   3   3        2   9   3   13      5
       + 16*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2*n3

              2   9   3   11   7            2   9   3   11   5   3
       + 7*a33 *m1 *m2 *n1  *n2 *n3 - 72*a33 *m1 *m2 *n1  *n2 *n3

                2   9   3   11   3   5         2   9   3   11      7
       + 112*a33 *m1 *m2 *n1  *n2 *n3  - 24*a33 *m1 *m2 *n1  *n2*n3

               2   9   3   9   9            2   9   3   9   7   3
       + 22*a33 *m1 *m2 *n1 *n2 *n3 - 42*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   9   5   5          2   9   3   9   3   7
       - 136*a33 *m1 *m2 *n1 *n2 *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

            2   9   3   7   11            2   9   3   7   9   3
       - a33 *m1 *m2 *n1 *n2  *n3 + 86*a33 *m1 *m2 *n1 *n2 *n3

                2   9   3   7   7   5         2   9   3   7   5   7
       - 200*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

               2   9   3   5   13            2   9   3   5   11   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 + 40*a33 *m1 *m2 *n1 *n2  *n3

               2   9   3   5   9   5          2   9   3   5   7   7
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

              2   8   4   14   4           2   8   4   14   2   3
       + 4*a33 *m1 *m2 *n1  *n2 *n3 - 5*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   12   6            2   8   4   12   4   3
       - 18*a33 *m1 *m2 *n1  *n2 *n3 + 69*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   12   2   5        2   8   4   12   7
       - 36*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

               2   8   4   10   8            2   8   4   10   6   3
       - 13*a33 *m1 *m2 *n1  *n2 *n3 - 88*a33 *m1 *m2 *n1  *n2 *n3

                2   8   4   10   4   5         2   8   4   10   2   7
       + 252*a33 *m1 *m2 *n1  *n2 *n3  - 52*a33 *m1 *m2 *n1  *n2 *n3

               2   8   4   8   10             2   8   4   8   8   3
       + 34*a33 *m1 *m2 *n1 *n2  *n3 - 173*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   8   6   5          2   8   4   8   4   7
       - 48*a33 *m1 *m2 *n1 *n2 *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   6   12            2   8   4   6   10   3
       + 15*a33 *m1 *m2 *n1 *n2  *n3 + 54*a33 *m1 *m2 *n1 *n2  *n3

                2   8   4   6   8   5         2   8   4   6   6   7
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

               2   8   4   4   14            2   8   4   4   12   3
       - 10*a33 *m1 *m2 *n1 *n2  *n3 + 65*a33 *m1 *m2 *n1 *n2  *n3

                2   8   4   4   8   7      2   7   5   15   3
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   13   5            2   7   5   13   3   3
       + 12*a33 *m1 *m2 *n1  *n2 *n3 - 14*a33 *m1 *m2 *n1  *n2 *n3

              2   7   5   13      5         2   7   5   11   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  - 13*a33 *m1 *m2 *n1  *n2 *n3

                2   7   5   11   5   3         2   7   5   11   3   5
       + 106*a33 *m1 *m2 *n1  *n2 *n3  - 40*a33 *m1 *m2 *n1  *n2 *n3

               2   7   5   11      7         2   7   5   9   9
       - 32*a33 *m1 *m2 *n1  *n2*n3  - 36*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   9   7   3          2   7   5   9   5   5
       - 12*a33 *m1 *m2 *n1 *n2 *n3  + 304*a33 *m1 *m2 *n1 *n2 *n3

               2   7   5   9   3   7         2   7   5   7   11
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 15*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   7   9   3          2   7   5   7   7   5
       - 212*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   7   5   7         2   7   5   5   13
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2  *n3

               2   7   5   5   11   3          2   7   5   5   9   5
       - 26*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

                2   7   5   5   7   7        2   7   5   3   15
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 5*a33 *m1 *m2 *n1 *n2  *n3

               2   7   5   3   13   3         2   7   5   3   11   5
       + 54*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   7   5   3   9   7      2   6   6   14   4
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1  *n2 *n3

              2   6   6   14   2   3        2   6   6   12   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   12   4   3         2   6   6   12   2   5
       + 12*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

            2   6   6   10   8            2   6   6   10   6   3
       - a33 *m1 *m2 *n1  *n2 *n3 + 79*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   10   4   5          2   6   6   10   2   7
       + 56*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

               2   6   6   8   10            2   6   6   8   8   3
       - 20*a33 *m1 *m2 *n1 *n2  *n3 + 12*a33 *m1 *m2 *n1 *n2 *n3

                2   6   6   8   6   5         2   6   6   8   4   7
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

            2   6   6   6   12             2   6   6   6   10   3
       - a33 *m1 *m2 *n1 *n2  *n3 - 117*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   6   8   5          2   6   6   6   6   7
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

              2   6   6   4   14            2   6   6   4   12   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3 - 44*a33 *m1 *m2 *n1 *n2  *n3

                2   6   6   4   10   5         2   6   6   4   8   7
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

            2   6   6   2   16            2   6   6   2   14   3
       - a33 *m1 *m2 *n1 *n2  *n3 + 23*a33 *m1 *m2 *n1 *n2  *n3

               2   6   6   2   12   5          2   6   6   2   10   7
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

            2   5   7   15   3           2   5   7   13   5
       - a33 *m1 *m2 *n1  *n2 *n3 + 8*a33 *m1 *m2 *n1  *n2 *n3

               2   5   7   13   3   3      2   5   7   11   7
       - 30*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1  *n2 *n3

               2   5   7   11   5   3          2   5   7   11   3   5
       + 86*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   5   7   9   9            2   5   7   9   7   3
       - 20*a33 *m1 *m2 *n1 *n2 *n3 + 96*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   9   5   5          2   5   7   9   3   7
       + 168*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

            2   5   7   7   11            2   5   7   7   9   3
       - a33 *m1 *m2 *n1 *n2  *n3 - 68*a33 *m1 *m2 *n1 *n2 *n3

                2   5   7   7   7   5          2   5   7   7   5   7
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   5   7   5   13            2   5   7   5   11   3
       + 8*a33 *m1 *m2 *n1 *n2  *n3 - 58*a33 *m1 *m2 *n1 *n2  *n3

                2   5   7   5   7   7      2   5   7   3   15
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2  *n3

              2   5   7   3   13   3         2   5   7   3   11   5
       - 6*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               2   5   7   3   9   7        2   5   7      15   3
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

               2   5   7      13   5         2   5   7      11   7
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 32*a33 *m1 *m2 *n1*n2  *n3

              2   4   8   14   4            2   4   8   12   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3 + 20*a33 *m1 *m2 *n1  *n2 *n3

               2   4   8   12   4   3         2   4   8   10   8
       - 75*a33 *m1 *m2 *n1  *n2 *n3  + 15*a33 *m1 *m2 *n1  *n2 *n3

                2   4   8   10   6   3          2   4   8   10   4   5
       + 110*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   4   8   8   10             2   4   8   8   8   3
       - 36*a33 *m1 *m2 *n1 *n2  *n3 + 191*a33 *m1 *m2 *n1 *n2 *n3

                2   4   8   8   6   5          2   4   8   8   4   7
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   6   12            2   4   8   6   10   3
       - 13*a33 *m1 *m2 *n1 *n2  *n3 - 72*a33 *m1 *m2 *n1 *n2  *n3

                2   4   8   6   8   5         2   4   8   6   6   7
       + 392*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

               2   4   8   4   14            2   4   8   4   12   3
       + 12*a33 *m1 *m2 *n1 *n2  *n3 - 67*a33 *m1 *m2 *n1 *n2  *n3

               2   4   8   4   10   5          2   4   8   4   8   7
       - 16*a33 *m1 *m2 *n1 *n2  *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

            2   4   8   2   16            2   4   8   2   14   3
       - a33 *m1 *m2 *n1 *n2  *n3 + 11*a33 *m1 *m2 *n1 *n2  *n3

               2   4   8   2   12   5         2   4   8   2   10   7
       - 20*a33 *m1 *m2 *n1 *n2  *n3  - 52*a33 *m1 *m2 *n1 *n2  *n3

              2   4   8   14   5        2   4   8   12   7
       - 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

               2   3   9   13   5            2   3   9   11   7
       - 10*a33 *m1 *m2 *n1  *n2 *n3 + 15*a33 *m1 *m2 *n1  *n2 *n3

                2   3   9   11   5   3         2   3   9   9   9
       - 100*a33 *m1 *m2 *n1  *n2 *n3  + 34*a33 *m1 *m2 *n1 *n2 *n3

               2   3   9   9   7   3          2   3   9   9   5   5
       + 30*a33 *m1 *m2 *n1 *n2 *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

               2   3   9   7   11             2   3   9   7   9   3
       - 13*a33 *m1 *m2 *n1 *n2  *n3 + 194*a33 *m1 *m2 *n1 *n2 *n3

               2   3   9   7   7   5          2   3   9   7   5   7
       - 56*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   3   9   5   13            2   3   9   5   11   3
       - 18*a33 *m1 *m2 *n1 *n2  *n3 + 12*a33 *m1 *m2 *n1 *n2  *n3

                2   3   9   5   9   5         2   3   9   5   7   7
       + 272*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

              2   3   9   3   15            2   3   9   3   13   3
       + 4*a33 *m1 *m2 *n1 *n2  *n3 - 48*a33 *m1 *m2 *n1 *n2  *n3

               2   3   9   3   11   5          2   3   9   3   9   7
       + 32*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

              2   3   9      15   3         2   3   9      13   5
       + 4*a33 *m1 *m2 *n1*n2  *n3  - 16*a33 *m1 *m2 *n1*n2  *n3

               2   3   9      11   7         2   2   10   12   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 10*a33 *m1 *m2  *n1  *n2 *n3

            2   2   10   10   8            2   2   10   10   6   3
       - a33 *m1 *m2  *n1  *n2 *n3 - 75*a33 *m1 *m2  *n1  *n2 *n3

               2   2   10   8   10            2   2   10   8   8   3
       + 22*a33 *m1 *m2  *n1 *n2  *n3 - 44*a33 *m1 *m2  *n1 *n2 *n3

                2   2   10   8   6   5        2   2   10   6   12
       - 168*a33 *m1 *m2  *n1 *n2 *n3  + 7*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   6   10   3          2   2   10   6   8   5
       + 81*a33 *m1 *m2  *n1 *n2  *n3  - 120*a33 *m1 *m2  *n1 *n2 *n3

                2   2   10   6   6   7        2   2   10   4   14
       - 112*a33 *m1 *m2  *n1 *n2 *n3  - 6*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   4   12   3         2   2   10   4   10   5
       + 38*a33 *m1 *m2  *n1 *n2  *n3  + 84*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   4   8   7         2   2   10   2   14   3
       - 52*a33 *m1 *m2  *n1 *n2 *n3  - 12*a33 *m1 *m2  *n1 *n2  *n3

               2   2   10   2   12   5         2   2   10   2   10   7
       + 32*a33 *m1 *m2  *n1 *n2  *n3  + 56*a33 *m1 *m2  *n1 *n2  *n3

              2   2   10   14   5        2   2   10   12   7
       - 4*a33 *m1 *m2  *n2  *n3  - 4*a33 *m1 *m2  *n2  *n3

              2      11   11   7           2      11   9   9
       - 5*a33 *m1*m2  *n1  *n2 *n3 - 6*a33 *m1*m2  *n1 *n2 *n3

               2      11   9   7   3        2      11   7   11
       - 30*a33 *m1*m2  *n1 *n2 *n3  + 3*a33 *m1*m2  *n1 *n2  *n3

               2      11   7   9   3         2      11   7   7   5
       - 38*a33 *m1*m2  *n1 *n2 *n3  - 56*a33 *m1*m2  *n1 *n2 *n3

              2      11   5   13           2      11   5   11   3
       + 4*a33 *m1*m2  *n1 *n2  *n3 + 4*a33 *m1*m2  *n1 *n2  *n3

               2      11   5   9   5         2      11   5   7   7
       - 64*a33 *m1*m2  *n1 *n2 *n3  - 32*a33 *m1*m2  *n1 *n2 *n3

               2      11   3   13   3         2      11   3   9   7
       + 12*a33 *m1*m2  *n1 *n2  *n3  - 24*a33 *m1*m2  *n1 *n2 *n3

              2      11      13   5        2      11      11   7
       + 8*a33 *m1*m2  *n1*n2  *n3  + 8*a33 *m1*m2  *n1*n2  *n3

            2   12   10   8           2   12   8   10
       - a33 *m2  *n1  *n2 *n3 - 2*a33 *m2  *n1 *n2  *n3

              2   12   8   8   3      2   12   6   12
       - 5*a33 *m2  *n1 *n2 *n3  - a33 *m2  *n1 *n2  *n3

              2   12   6   10   3        2   12   6   8   5
       - 9*a33 *m2  *n1 *n2  *n3  - 8*a33 *m2  *n1 *n2 *n3

              2   12   4   12   3         2   12   4   10   5
       - 4*a33 *m2  *n1 *n2  *n3  - 12*a33 *m2  *n1 *n2  *n3

              2   12   4   8   7        2   12   2   12   5
       - 4*a33 *m2  *n1 *n2 *n3  - 4*a33 *m2  *n1 *n2  *n3

              2   12   2   10   7                   11   13   6   2
       - 4*a33 *m2  *n1 *n2  *n3 ) + u3*v3*(2*a33*m1  *n1  *n2 *n3

                 11   13   4   4           11   13   2   6
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 11   11   6   4           11   11   4   6
       + 2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                 11   11   2   8           11   9   10   2
       + 8*a33*m1  *n1  *n2 *n3  - 2*a33*m1  *n1 *n2  *n3

                  11   9   8   4            11   9   6   6
       + 10*a33*m1  *n1 *n2 *n3  - 16*a33*m1  *n1 *n2 *n3

                 11   9   4   8           10      14   7
       + 8*a33*m1  *n1 *n2 *n3  + 2*a33*m1  *m2*n1  *n2

                  10      14   5   2            10      14   3   4
       - 16*a33*m1  *m2*n1  *n2 *n3  + 32*a33*m1  *m2*n1  *n2 *n3

                  10      14      6           10      12   9
       - 16*a33*m1  *m2*n1  *n2*n3  + 2*a33*m1  *m2*n1  *n2

                  10      12   7   2            10      12   5   4
       + 10*a33*m1  *m2*n1  *n2 *n3  - 80*a33*m1  *m2*n1  *n2 *n3

                   10      12   3   6            10      12      8
       + 112*a33*m1  *m2*n1  *n2 *n3  - 16*a33*m1  *m2*n1  *n2*n3

                 10      10   11            10      10   9   2
       - 2*a33*m1  *m2*n1  *n2   + 24*a33*m1  *m2*n1  *n2 *n3

                  10      10   7   4           10      10   5   6
       - 58*a33*m1  *m2*n1  *n2 *n3  + 8*a33*m1  *m2*n1  *n2 *n3

                  10      10   3   8           10      8   13
       + 56*a33*m1  *m2*n1  *n2 *n3  - 2*a33*m1  *m2*n1 *n2

                 10      8   11   2            10      8   9   4
       - 2*a33*m1  *m2*n1 *n2  *n3  + 54*a33*m1  *m2*n1 *n2 *n3

                   10      8   7   6            10      8   5   8
       - 120*a33*m1  *m2*n1 *n2 *n3  + 72*a33*m1  *m2*n1 *n2 *n3

                 9   2   15   6            9   2   15   4   2
       - 8*a33*m1 *m2 *n1  *n2  + 36*a33*m1 *m2 *n1  *n2 *n3

                  9   2   15   2   4           9   2   15   6
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                 9   2   13   8             9   2   13   6   2
       + 6*a33*m1 *m2 *n1  *n2  - 112*a33*m1 *m2 *n1  *n2 *n3

                   9   2   13   4   4             9   2   13   2   6
       + 308*a33*m1 *m2 *n1  *n2 *n3  - 200*a33*m1 *m2 *n1  *n2 *n3

                 9   2   13   8            9   2   11   10
       + 8*a33*m1 *m2 *n1  *n3  + 26*a33*m1 *m2 *n1  *n2

                  9   2   11   8   2             9   2   11   6   4
       - 82*a33*m1 *m2 *n1  *n2 *n3  - 156*a33*m1 *m2 *n1  *n2 *n3

                   9   2   11   4   6             9   2   11   2   8
       + 512*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                 9   2   9   12            9   2   9   10   2
       + 2*a33*m1 *m2 *n1 *n2   + 96*a33*m1 *m2 *n1 *n2  *n3

                   9   2   9   8   4             9   2   9   6   6
       - 406*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                   9   2   9   4   8            9   2   7   14
       + 144*a33*m1 *m2 *n1 *n2 *n3  - 10*a33*m1 *m2 *n1 *n2

                  9   2   7   12   2            9   2   7   10   4
       + 30*a33*m1 *m2 *n1 *n2  *n3  + 98*a33*m1 *m2 *n1 *n2  *n3

                   9   2   7   8   6             9   2   7   6   8
       - 384*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                  8   3   16   5            8   3   16   3   2
       + 12*a33*m1 *m2 *n1  *n2  - 32*a33*m1 *m2 *n1  *n2 *n3

                  8   3   16      4            8   3   14   7
       + 16*a33*m1 *m2 *n1  *n2*n3  - 44*a33*m1 *m2 *n1  *n2

                   8   3   14   5   2             8   3   14   3   4
       + 276*a33*m1 *m2 *n1  *n2 *n3  - 384*a33*m1 *m2 *n1  *n2 *n3

                  8   3   14      6            8   3   12   9
       + 96*a33*m1 *m2 *n1  *n2*n3  - 44*a33*m1 *m2 *n1  *n2

                   8   3   12   7   2              8   3   12   5   4
       - 160*a33*m1 *m2 *n1  *n2 *n3  + 1076*a33*m1 *m2 *n1  *n2 *n3

                   8   3   12   3   6            8   3   12      8
       - 984*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2*n3

                  8   3   10   11             8   3   10   9   2
       + 72*a33*m1 *m2 *n1  *n2   - 506*a33*m1 *m2 *n1  *n2 *n3

                   8   3   10   7   4              8   3   10   5   6
       + 412*a33*m1 *m2 *n1  *n2 *n3  + 1032*a33*m1 *m2 *n1  *n2 *n3

                   8   3   10   3   8            8   3   8   13
       - 504*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                  8   3   8   11   2              8   3   8   9   4
       + 72*a33*m1 *m2 *n1 *n2  *n3  - 1050*a33*m1 *m2 *n1 *n2 *n3

                    8   3   8   7   6            8   3   8   5   8
       + 1440*a33*m1 *m2 *n1 *n2 *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                  8   3   6   15             8   3   6   13   2
       - 20*a33*m1 *m2 *n1 *n2   + 110*a33*m1 *m2 *n1 *n2  *n3

                  8   3   6   11   4             8   3   6   9   6
       + 14*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                   8   3   6   7   8           7   4   17   4
       + 672*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2

                  7   4   17   2   2            7   4   15   6
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 76*a33*m1 *m2 *n1  *n2

                   7   4   15   4   2             7   4   15   2   4
       - 256*a33*m1 *m2 *n1  *n2 *n3  + 154*a33*m1 *m2 *n1  *n2 *n3

                  7   4   13   8             7   4   13   6   2
       - 44*a33*m1 *m2 *n1  *n2  + 762*a33*m1 *m2 *n1  *n2 *n3

                    7   4   13   4   4             7   4   13   2   6
       - 1502*a33*m1 *m2 *n1  *n2 *n3  + 480*a33*m1 *m2 *n1  *n2 *n3

                   7   4   11   10             7   4   11   8   2
       - 208*a33*m1 *m2 *n1  *n2   + 432*a33*m1 *m2 *n1  *n2 *n3

                    7   4   11   6   4              7   4   11   4   6
       + 1620*a33*m1 *m2 *n1  *n2 *n3  - 2592*a33*m1 *m2 *n1  *n2 *n3

                   7   4   11   2   8            7   4   9   12
       + 288*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                    7   4   9   10   2              7   4   9   8   4
       - 1006*a33*m1 *m2 *n1 *n2  *n3  + 2212*a33*m1 *m2 *n1 *n2 *n3

                   7   4   9   6   6              7   4   9   4   8
       + 624*a33*m1 *m2 *n1 *n2 *n3  - 1056*a33*m1 *m2 *n1 *n2 *n3

                   7   4   7   14             7   4   7   12   2
       + 100*a33*m1 *m2 *n1 *n2   - 240*a33*m1 *m2 *n1 *n2  *n3

                    7   4   7   10   4              7   4   7   8   6
       - 1274*a33*m1 *m2 *n1 *n2  *n3  + 3024*a33*m1 *m2 *n1 *n2 *n3

                   7   4   7   6   8            7   4   5   16
       - 336*a33*m1 *m2 *n1 *n2 *n3  - 20*a33*m1 *m2 *n1 *n2

                   7   4   5   14   2             7   4   5   12   4
       + 170*a33*m1 *m2 *n1 *n2  *n3  - 210*a33*m1 *m2 *n1 *n2  *n3

                   7   4   5   10   6              7   4   5   8   8
       - 672*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                 6   5   18   3            6   5   16   5
       + 2*a33*m1 *m2 *n1  *n2  - 54*a33*m1 *m2 *n1  *n2

                  6   5   16   3   2             6   5   14   7
       + 82*a33*m1 *m2 *n1  *n2 *n3  + 166*a33*m1 *m2 *n1  *n2

                   6   5   14   5   2             6   5   14   3   4
       - 824*a33*m1 *m2 *n1  *n2 *n3  + 630*a33*m1 *m2 *n1  *n2 *n3

                   6   5   12   9             6   5   12   7   2
       + 142*a33*m1 *m2 *n1  *n2  + 810*a33*m1 *m2 *n1  *n2 *n3

                    6   5   12   5   4              6   5   12   3   6
       - 3122*a33*m1 *m2 *n1  *n2 *n3  + 1344*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   11              6   5   10   9   2
       - 310*a33*m1 *m2 *n1  *n2   + 1696*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   7   4              6   5   10   5   6
       + 364*a33*m1 *m2 *n1  *n2 *n3  - 4032*a33*m1 *m2 *n1  *n2 *n3

                   6   5   10   3   8             6   5   8   13
       + 672*a33*m1 *m2 *n1  *n2 *n3  - 110*a33*m1 *m2 *n1 *n2

                   6   5   8   11   2              6   5   8   9   4
       - 758*a33*m1 *m2 *n1 *n2  *n3  + 3948*a33*m1 *m2 *n1 *n2 *n3

                    6   5   8   7   6              6   5   8   5   8
       - 1344*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                   6   5   6   15             6   5   6   13   2
       + 110*a33*m1 *m2 *n1 *n2   - 600*a33*m1 *m2 *n1 *n2  *n3

                   6   5   6   11   4              6   5   6   9   6
       - 518*a33*m1 *m2 *n1 *n2  *n3  + 3696*a33*m1 *m2 *n1 *n2 *n3

                    6   5   6   7   8            6   5   4   17
       - 1008*a33*m1 *m2 *n1 *n2 *n3  - 10*a33*m1 *m2 *n1 *n2

                   6   5   4   15   2             6   5   4   13   4
       + 138*a33*m1 *m2 *n1 *n2  *n3  - 350*a33*m1 *m2 *n1 *n2  *n3

                   6   5   4   11   6              6   5   4   9   8
       - 336*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   6   17   4             5   6   15   6
       + 14*a33*m1 *m2 *n1  *n2  - 142*a33*m1 *m2 *n1  *n2

                   5   6   15   4   2             5   6   13   8
       + 282*a33*m1 *m2 *n1  *n2 *n3  + 114*a33*m1 *m2 *n1  *n2

                    5   6   13   6   2              5   6   13   4   4
       - 1360*a33*m1 *m2 *n1  *n2 *n3  + 1442*a33*m1 *m2 *n1  *n2 *n3

                   5   6   11   10             5   6   11   8   2
       + 390*a33*m1 *m2 *n1  *n2   - 222*a33*m1 *m2 *n1  *n2 *n3

                    5   6   11   6   4              5   6   11   4   6
       - 3654*a33*m1 *m2 *n1  *n2 *n3  + 2352*a33*m1 *m2 *n1  *n2 *n3

                   5   6   9   12              5   6   9   10   2
       - 138*a33*m1 *m2 *n1 *n2   + 2224*a33*m1 *m2 *n1 *n2  *n3

                    5   6   9   8   4              5   6   9   6   6
       - 2324*a33*m1 *m2 *n1 *n2 *n3  - 3696*a33*m1 *m2 *n1 *n2 *n3

                    5   6   9   4   8             5   6   7   14
       + 1008*a33*m1 *m2 *n1 *n2 *n3  - 198*a33*m1 *m2 *n1 *n2

                   5   6   7   12   2              5   6   7   10   4
       + 170*a33*m1 *m2 *n1 *n2  *n3  + 3500*a33*m1 *m2 *n1 *n2  *n3

                    5   6   7   8   6              5   6   7   6   8
       - 3360*a33*m1 *m2 *n1 *n2 *n3  - 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   6   5   16             5   6   5   14   2
       + 58*a33*m1 *m2 *n1 *n2   - 576*a33*m1 *m2 *n1 *n2  *n3

                   5   6   5   12   4              5   6   5   10   6
       + 462*a33*m1 *m2 *n1 *n2  *n3  + 2688*a33*m1 *m2 *n1 *n2  *n3

                    5   6   5   8   8           5   6   3   18
       - 1344*a33*m1 *m2 *n1 *n2 *n3  - 2*a33*m1 *m2 *n1 *n2

                  5   6   3   16   2             5   6   3   14   4
       + 58*a33*m1 *m2 *n1 *n2  *n3  - 266*a33*m1 *m2 *n1 *n2  *n3

                   5   6   3   10   8            4   7   16   5
       + 672*a33*m1 *m2 *n1 *n2  *n3  + 40*a33*m1 *m2 *n1  *n2

                   4   7   14   7             4   7   14   5   2
       - 180*a33*m1 *m2 *n1  *n2  + 530*a33*m1 *m2 *n1  *n2 *n3

                   4   7   12   9              4   7   12   7   2
       - 100*a33*m1 *m2 *n1  *n2  - 1160*a33*m1 *m2 *n1  *n2 *n3

                    4   7   12   5   4             4   7   10   11
       + 2030*a33*m1 *m2 *n1  *n2 *n3  + 352*a33*m1 *m2 *n1  *n2

                    4   7   10   9   2              4   7   10   7   4
       - 1374*a33*m1 *m2 *n1  *n2 *n3  - 2170*a33*m1 *m2 *n1  *n2 *n3

                    4   7   10   5   6            4   7   8   13
       + 2688*a33*m1 *m2 *n1  *n2 *n3  + 96*a33*m1 *m2 *n1 *n2

                    4   7   8   11   2              4   7   8   9   4
       + 1248*a33*m1 *m2 *n1 *n2  *n3  - 3612*a33*m1 *m2 *n1 *n2 *n3

                    4   7   8   7   6              4   7   8   5   8
       - 1680*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                   4   7   6   15             4   7   6   13   2
       - 124*a33*m1 *m2 *n1 *n2   + 658*a33*m1 *m2 *n1 *n2  *n3

                    4   7   6   11   4              4   7   6   9   6
       + 1364*a33*m1 *m2 *n1 *n2  *n3  - 3408*a33*m1 *m2 *n1 *n2 *n3

                   4   7   6   7   8            4   7   4   17
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2

                   4   7   4   15   2             4   7   4   13   4
       - 264*a33*m1 *m2 *n1 *n2  *n3  + 674*a33*m1 *m2 *n1 *n2  *n3

                    4   7   4   11   6              4   7   4   9   8
       + 1056*a33*m1 *m2 *n1 *n2  *n3  - 1056*a33*m1 *m2 *n1 *n2 *n3

                  4   7   2   17   2             4   7   2   15   4
       + 10*a33*m1 *m2 *n1 *n2  *n3  - 102*a33*m1 *m2 *n1 *n2  *n3

                  4   7   2   13   6             4   7   2   11   8
       + 96*a33*m1 *m2 *n1 *n2  *n3  + 288*a33*m1 *m2 *n1 *n2  *n3

                  3   8   15   6             3   8   13   8
       + 60*a33*m1 *m2 *n1  *n2  - 100*a33*m1 *m2 *n1  *n2

                   3   8   13   6   2             3   8   11   10
       + 590*a33*m1 *m2 *n1  *n2 *n3  - 208*a33*m1 *m2 *n1  *n2

                   3   8   11   8   2              3   8   11   6   4
       - 352*a33*m1 *m2 *n1  *n2 *n3  + 1806*a33*m1 *m2 *n1  *n2 *n3

                  3   8   9   12              3   8   9   10   2
       + 96*a33*m1 *m2 *n1 *n2   - 1314*a33*m1 *m2 *n1 *n2  *n3

                   3   8   9   8   4              3   8   9   6   6
       - 154*a33*m1 *m2 *n1 *n2 *n3  + 2016*a33*m1 *m2 *n1 *n2 *n3

                   3   8   7   14            3   8   7   12   2
       + 116*a33*m1 *m2 *n1 *n2   + 80*a33*m1 *m2 *n1 *n2  *n3

                    3   8   7   10   4            3   8   7   8   6
       - 2404*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                   3   8   7   6   8            3   8   5   16
       + 672*a33*m1 *m2 *n1 *n2 *n3  - 28*a33*m1 *m2 *n1 *n2

                   3   8   5   14   2             3   8   5   12   4
       + 404*a33*m1 *m2 *n1 *n2  *n3  - 108*a33*m1 *m2 *n1 *n2  *n3

                    3   8   5   10   6            3   8   5   8   8
       - 1848*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                  3   8   3   16   2             3   8   3   14   4
       - 48*a33*m1 *m2 *n1 *n2  *n3  + 320*a33*m1 *m2 *n1 *n2  *n3

                   3   8   3   12   6             3   8   3   10   8
       + 120*a33*m1 *m2 *n1 *n2  *n3  - 504*a33*m1 *m2 *n1 *n2  *n3

                  3   8      16   4            3   8      14   6
       - 16*a33*m1 *m2 *n1*n2  *n3  + 48*a33*m1 *m2 *n1*n2  *n3

                  3   8      12   8            2   9   14   7
       + 72*a33*m1 *m2 *n1*n2  *n3  + 50*a33*m1 *m2 *n1  *n2

                 2   9   12   9             2   9   12   7   2
       + 2*a33*m1 *m2 *n1  *n2  + 390*a33*m1 *m2 *n1  *n2 *n3

                   2   9   10   11             2   9   10   9   2
       - 114*a33*m1 *m2 *n1  *n2   + 184*a33*m1 *m2 *n1  *n2 *n3

                   2   9   10   7   4            2   9   8   13
       + 994*a33*m1 *m2 *n1  *n2 *n3  - 34*a33*m1 *m2 *n1 *n2

                   2   9   8   11   2             2   9   8   9   4
       - 498*a33*m1 *m2 *n1 *n2  *n3  + 618*a33*m1 *m2 *n1 *n2 *n3

                   2   9   8   7   6            2   9   6   15
       + 960*a33*m1 *m2 *n1 *n2 *n3  + 32*a33*m1 *m2 *n1 *n2

                   2   9   6   13   2             2   9   6   11   4
       - 208*a33*m1 *m2 *n1 *n2  *n3  - 700*a33*m1 *m2 *n1 *n2  *n3

                   2   9   6   9   6             2   9   6   7   8
       + 528*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                  2   9   4   15   2             2   9   4   13   4
       + 84*a33*m1 *m2 *n1 *n2  *n3  - 268*a33*m1 *m2 *n1 *n2  *n3

                   2   9   4   11   6             2   9   4   9   8
       - 496*a33*m1 *m2 *n1 *n2  *n3  + 144*a33*m1 *m2 *n1 *n2 *n3

                  2   9   2   15   4            2   9   2   13   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 56*a33*m1 *m2 *n1 *n2  *n3

                   2   9   2   11   8           2   9   15   6
       - 136*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

                 2   9   13   8               10   13   8
       + 8*a33*m1 *m2 *n2  *n3  + 22*a33*m1*m2  *n1  *n2

                     10   11   10                10   11   8   2
       + 26*a33*m1*m2  *n1  *n2   + 142*a33*m1*m2  *n1  *n2 *n3

                     10   9   12                10   9   10   2
       - 14*a33*m1*m2  *n1 *n2   + 176*a33*m1*m2  *n1 *n2  *n3

                      10   9   8   4               10   7   14
       + 310*a33*m1*m2  *n1 *n2 *n3  - 18*a33*m1*m2  *n1 *n2

                     10   7   12   2                10   7   10   4
       - 30*a33*m1*m2  *n1 *n2  *n3  + 358*a33*m1*m2  *n1 *n2  *n3

                      10   7   8   6               10   5   14   2
       + 264*a33*m1*m2  *n1 *n2 *n3  - 64*a33*m1*m2  *n1 *n2  *n3

                     10   5   12   4                10   5   10   6
       - 16*a33*m1*m2  *n1 *n2  *n3  + 248*a33*m1*m2  *n1 *n2  *n3

                     10   5   8   8               10   3   14   4
       + 72*a33*m1*m2  *n1 *n2 *n3  - 64*a33*m1*m2  *n1 *n2  *n3

                     10   3   12   6               10   3   10   8
       - 32*a33*m1*m2  *n1 *n2  *n3  + 56*a33*m1*m2  *n1 *n2  *n3

                     10      14   6               10      12   8
       - 16*a33*m1*m2  *n1*n2  *n3  - 16*a33*m1*m2  *n1*n2  *n3

                 11   12   9           11   10   11            11   10   9   2
       + 4*a33*m2  *n1  *n2  + 8*a33*m2  *n1  *n2   + 22*a33*m2  *n1  *n2 *n3

                 11   8   13            11   8   11   2
       + 4*a33*m2  *n1 *n2   + 40*a33*m2  *n1 *n2  *n3

                  11   8   9   4            11   6   13   2
       + 42*a33*m2  *n1 *n2 *n3  + 18*a33*m2  *n1 *n2  *n3

                  11   6   11   4            11   6   9   6
       + 66*a33*m2  *n1 *n2  *n3  + 32*a33*m2  *n1 *n2 *n3

                  11   4   13   4            11   4   11   6
       + 24*a33*m2  *n1 *n2  *n3  + 40*a33*m2  *n1 *n2  *n3

                 11   4   9   8           11   2   13   6
       + 8*a33*m2  *n1 *n2 *n3  + 8*a33*m2  *n1 *n2  *n3

                 11   2   11   8             10   14   6   3
       + 8*a33*m2  *n1 *n2  *n3 ) + u3*( - m1  *n1  *n2 *n3

             10   14   4   5       10   14   2   7       10   12   8   3
       + 4*m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  - 2*m1  *n1  *n2 *n3

             10   12   6   5        10   12   4   7       10   12   2   9
       + 9*m1  *n1  *n2 *n3  - 12*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

           10   10   10   3       10   10   8   5        10   10   6   7
       - m1  *n1  *n2  *n3  + 6*m1  *n1  *n2 *n3  - 12*m1  *n1  *n2 *n3

             10   10   4   9     10   8   10   5       10   8   8   7
       + 8*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2 *n3

             10   8   6   9     9      15   7          9      15   5   3
       + 4*m1  *n1 *n2 *n3  - m1 *m2*n1  *n2 *n3 + 8*m1 *m2*n1  *n2 *n3

              9      15   3   5       9      15      7       9      13   9
       - 16*m1 *m2*n1  *n2 *n3  + 8*m1 *m2*n1  *n2*n3  - 3*m1 *m2*n1  *n2 *n3

              9      13   7   3        9      13   5   5       9      13      9
       + 15*m1 *m2*n1  *n2 *n3  - 16*m1 *m2*n1  *n2 *n3  - 8*m1 *m2*n1  *n2*n3

             9      11   11          9      11   9   3        9      11   7   5
       - 3*m1 *m2*n1  *n2  *n3 + 7*m1 *m2*n1  *n2 *n3  + 18*m1 *m2*n1  *n2 *n3

              9      11   5   7        9      11   3   9     9      9   13
       - 48*m1 *m2*n1  *n2 *n3  + 16*m1 *m2*n1  *n2 *n3  - m1 *m2*n1 *n2  *n3

           9      9   11   3        9      9   9   5        9      9   7   7
       + m1 *m2*n1 *n2  *n3  + 20*m1 *m2*n1 *n2 *n3  - 64*m1 *m2*n1 *n2 *n3

              9      9   5   9     9      7   13   3       9      7   11   5
       + 56*m1 *m2*n1 *n2 *n3  + m1 *m2*n1 *n2  *n3  + 2*m1 *m2*n1 *n2  *n3

              9      7   9   7        9      7   7   9       8   2   16   6
       - 24*m1 *m2*n1 *n2 *n3  + 32*m1 *m2*n1 *n2 *n3  + 4*m1 *m2 *n1  *n2 *n3

              8   2   16   4   3        8   2   16   2   5       8   2   16   7
       - 18*m1 *m2 *n1  *n2 *n3  + 20*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3

             8   2   14   8          8   2   14   6   3
       + 7*m1 *m2 *n1  *n2 *n3 - 4*m1 *m2 *n1  *n2 *n3

              8   2   14   4   5        8   2   14   2   7       8   2   14   9
       - 46*m1 *m2 *n1  *n2 *n3  + 36*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3

             8   2   12   10           8   2   12   8   3
       - 3*m1 *m2 *n1  *n2  *n3 + 56*m1 *m2 *n1  *n2 *n3

               8   2   12   6   5        8   2   12   4   7
       - 132*m1 *m2 *n1  *n2 *n3  + 76*m1 *m2 *n1  *n2 *n3

              8   2   12   2   9        8   2   10   12
       - 56*m1 *m2 *n1  *n2 *n3  - 11*m1 *m2 *n1  *n2  *n3

              8   2   10   10   3        8   2   10   8   5
       + 57*m1 *m2 *n1  *n2  *n3  - 55*m1 *m2 *n1  *n2 *n3

              8   2   10   6   7        8   2   10   4   9
       - 28*m1 *m2 *n1  *n2 *n3  - 12*m1 *m2 *n1  *n2 *n3

             8   2   8   14           8   2   8   12   3
       - 5*m1 *m2 *n1 *n2  *n3 + 20*m1 *m2 *n1 *n2  *n3

             8   2   8   10   5         8   2   8   8   7
       + 2*m1 *m2 *n1 *n2  *n3  - 120*m1 *m2 *n1 *n2 *n3

               8   2   8   6   9       8   2   6   14   3
       + 160*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2  *n3

             8   2   6   12   5        8   2   6   10   7
       - 9*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               8   2   6   8   9       7   3   17   5
       + 112*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1  *n2 *n3

              7   3   17   3   3       7   3   17      5       7   3   15   7
       + 16*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3  + 2*m1 *m2 *n1  *n2 *n3

              7   3   15   5   3         7   3   15   3   5
       - 58*m1 *m2 *n1  *n2 *n3  + 104*m1 *m2 *n1  *n2 *n3

              7   3   15      7        7   3   13   9
       - 24*m1 *m2 *n1  *n2*n3  + 32*m1 *m2 *n1  *n2 *n3

               7   3   13   7   3        7   3   13   5   5
       - 130*m1 *m2 *n1  *n2 *n3  + 48*m1 *m2 *n1  *n2 *n3

              7   3   13   3   7        7   3   13      9
       + 40*m1 *m2 *n1  *n2 *n3  + 32*m1 *m2 *n1  *n2*n3

              7   3   11   11          7   3   11   9   3
       + 24*m1 *m2 *n1  *n2  *n3 + 8*m1 *m2 *n1  *n2 *n3

               7   3   11   7   5         7   3   11   5   7
       - 240*m1 *m2 *n1  *n2 *n3  + 208*m1 *m2 *n1  *n2 *n3

               7   3   11   3   9        7   3   9   13
       - 160*m1 *m2 *n1  *n2 *n3  - 10*m1 *m2 *n1 *n2  *n3

               7   3   9   11   3         7   3   9   9   5
       + 104*m1 *m2 *n1 *n2  *n3  - 208*m1 *m2 *n1 *n2 *n3

               7   3   9   7   7         7   3   9   5   9
       + 144*m1 *m2 *n1 *n2 *n3  - 192*m1 *m2 *n1 *n2 *n3

              7   3   7   15           7   3   7   13   3
       - 10*m1 *m2 *n1 *n2  *n3 + 50*m1 *m2 *n1 *n2  *n3

              7   3   7   11   5        7   3   7   9   7
       - 72*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2 *n3

               7   3   7   7   9        7   3   5   15   3
       + 224*m1 *m2 *n1 *n2 *n3  + 10*m1 *m2 *n1 *n2  *n3

              7   3   5   13   5        7   3   5   11   7
       - 40*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3

               7   3   5   9   9       6   4   18   4
       + 224*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1  *n2 *n3

             6   4   18   2   3        6   4   16   6
       - 5*m1 *m2 *n1  *n2 *n3  - 18*m1 *m2 *n1  *n2 *n3

              6   4   16   4   3        6   4   16   2   5
       + 78*m1 *m2 *n1  *n2 *n3  - 51*m1 *m2 *n1  *n2 *n3

              6   4   14   8        6   4   14   6   3
       - 38*m1 *m2 *n1  *n2 *n3 - m1 *m2 *n1  *n2 *n3

               6   4   14   4   5        6   4   14   2   7
       + 198*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              6   4   12   10            6   4   12   8   3
       + 24*m1 *m2 *n1  *n2  *n3 - 286*m1 *m2 *n1  *n2 *n3

               6   4   12   6   5        6   4   12   4   7
       + 355*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

               6   4   12   2   9        6   4   10   12
       + 112*m1 *m2 *n1  *n2 *n3  + 60*m1 *m2 *n1  *n2  *n3

               6   4   10   10   3        6   4   10   8   5
       - 197*m1 *m2 *n1  *n2  *n3  - 68*m1 *m2 *n1  *n2 *n3

               6   4   10   6   7         6   4   10   4   9
       + 168*m1 *m2 *n1  *n2 *n3  - 224*m1 *m2 *n1  *n2 *n3

              6   4   8   14           6   4   8   12   3
       + 10*m1 *m2 *n1 *n2  *n3 + 50*m1 *m2 *n1 *n2  *n3

               6   4   8   10   5         6   4   8   8   7
       - 219*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2 *n3

               6   4   8   6   9        6   4   6   16
       - 504*m1 *m2 *n1 *n2 *n3  - 10*m1 *m2 *n1 *n2  *n3

              6   4   6   14   3         6   4   6   12   5
       + 55*m1 *m2 *n1 *n2  *n3  - 110*m1 *m2 *n1 *n2  *n3

               6   4   6   10   7         6   4   6   8   9
       + 112*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2 *n3

              6   4   4   16   3        6   4   4   14   5
       + 10*m1 *m2 *n1 *n2  *n3  - 65*m1 *m2 *n1 *n2  *n3

               6   4   4   10   9     5   5   19   3           5   5   17   5
       + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2 *n3 + 17*m1 *m2 *n1  *n2 *n3

              5   5   17   3   3       5   5   15   7
       - 29*m1 *m2 *n1  *n2 *n3  - 3*m1 *m2 *n1  *n2 *n3

               5   5   15   5   3         5   5   15   3   5
       + 139*m1 *m2 *n1  *n2 *n3  - 138*m1 *m2 *n1  *n2 *n3

              5   5   13   9            5   5   13   7   3
       - 81*m1 *m2 *n1  *n2 *n3 + 225*m1 *m2 *n1  *n2 *n3

               5   5   13   5   5        5   5   13   3   7
       + 124*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

              5   5   11   11            5   5   11   9   3
       - 45*m1 *m2 *n1  *n2  *n3 - 183*m1 *m2 *n1  *n2 *n3

               5   5   11   7   5         5   5   11   5   7
       + 562*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

               5   5   11   3   9        5   5   9   13
       + 224*m1 *m2 *n1  *n2 *n3  + 45*m1 *m2 *n1 *n2  *n3

               5   5   9   11   3         5   5   9   9   5
       - 321*m1 *m2 *n1 *n2  *n3  + 264*m1 *m2 *n1 *n2 *n3

               5   5   9   7   7         5   5   9   5   9
       - 112*m1 *m2 *n1 *n2 *n3  - 112*m1 *m2 *n1 *n2 *n3

              5   5   7   15           5   5   7   13   3
       + 25*m1 *m2 *n1 *n2  *n3 - 57*m1 *m2 *n1 *n2  *n3

              5   5   7   11   5         5   5   7   9   7
       - 26*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2 *n3

               5   5   7   7   9       5   5   5   17
       - 672*m1 *m2 *n1 *n2 *n3  - 5*m1 *m2 *n1 *n2  *n3

              5   5   5   15   3        5   5   5   13   5
       + 29*m1 *m2 *n1 *n2  *n3  - 44*m1 *m2 *n1 *n2  *n3

               5   5   5   11   7         5   5   5   9   9
       + 168*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2 *n3

             5   5   3   17   3        5   5   3   15   5
       + 5*m1 *m2 *n1 *n2  *n3  - 54*m1 *m2 *n1 *n2  *n3

              5   5   3   13   7         5   5   3   11   9
       + 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

             4   6   18   4           4   6   16   6
       - 5*m1 *m2 *n1  *n2 *n3 + 25*m1 *m2 *n1  *n2 *n3

              4   6   16   4   3        4   6   14   8
       - 70*m1 *m2 *n1  *n2 *n3  + 45*m1 *m2 *n1  *n2 *n3

              4   6   14   6   3         4   6   14   4   5
       + 85*m1 *m2 *n1  *n2 *n3  - 205*m1 *m2 *n1  *n2 *n3

              4   6   12   10            4   6   12   8   3
       - 45*m1 *m2 *n1  *n2  *n3 + 370*m1 *m2 *n1  *n2 *n3

               4   6   12   6   5        4   6   10   12
       - 110*m1 *m2 *n1  *n2 *n3  - 81*m1 *m2 *n1  *n2  *n3

               4   6   10   10   3         4   6   10   8   5
       + 113*m1 *m2 *n1  *n2  *n3  + 369*m1 *m2 *n1  *n2 *n3

               4   6   10   6   7         4   6   10   4   9
       - 112*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

             4   6   8   14            4   6   8   12   3
       - 3*m1 *m2 *n1 *n2  *n3 - 190*m1 *m2 *n1 *n2  *n3

               4   6   8   10   5         4   6   8   8   7
       + 324*m1 *m2 *n1 *n2  *n3  - 280*m1 *m2 *n1 *n2 *n3

               4   6   8   6   9        4   6   6   16
       + 112*m1 *m2 *n1 *n2 *n3  + 17*m1 *m2 *n1 *n2  *n3

              4   6   6   14   3         4   6   6   12   5
       - 83*m1 *m2 *n1 *n2  *n3  + 103*m1 *m2 *n1 *n2  *n3

               4   6   6   10   7         4   6   6   8   9
       - 168*m1 *m2 *n1 *n2  *n3  - 504*m1 *m2 *n1 *n2 *n3

           4   6   4   18          4   6   4   16   3        4   6   4   14   5
       - m1 *m2 *n1 *n2  *n3 + 6*m1 *m2 *n1 *n2  *n3  + 30*m1 *m2 *n1 *n2  *n3

              4   6   4   12   7         4   6   4   10   9
       + 56*m1 *m2 *n1 *n2  *n3  - 224*m1 *m2 *n1 *n2  *n3

           4   6   2   18   3        4   6   2   16   5
       + m1 *m2 *n1 *n2  *n3  - 23*m1 *m2 *n1 *n2  *n3

              4   6   2   14   7         4   6   2   12   9
       + 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

              3   7   17   5           3   7   15   7
       - 10*m1 *m2 *n1  *n2 *n3 + 10*m1 *m2 *n1  *n2 *n3

              3   7   15   5   3        3   7   13   9
       - 90*m1 *m2 *n1  *n2 *n3  + 60*m1 *m2 *n1  *n2 *n3

              3   7   13   7   3         3   7   13   5   5
       - 50*m1 *m2 *n1  *n2 *n3  - 180*m1 *m2 *n1  *n2 *n3

              3   7   11   11            3   7   11   9   3
       + 24*m1 *m2 *n1  *n2  *n3 + 232*m1 *m2 *n1  *n2 *n3

               3   7   11   7   5        3   7   11   5   7
       - 240*m1 *m2 *n1  *n2 *n3  + 56*m1 *m2 *n1  *n2 *n3

              3   7   9   13            3   7   9   11   3
       - 38*m1 *m2 *n1 *n2  *n3 + 216*m1 *m2 *n1 *n2  *n3

              3   7   9   9   5        3   7   9   7   7
       + 44*m1 *m2 *n1 *n2 *n3  + 56*m1 *m2 *n1 *n2 *n3

               3   7   9   5   9        3   7   7   15
       + 224*m1 *m2 *n1 *n2 *n3  - 18*m1 *m2 *n1 *n2  *n3

              3   7   7   13   3         3   7   7   11   5
       - 14*m1 *m2 *n1 *n2  *n3  + 128*m1 *m2 *n1 *n2  *n3

               3   7   7   9   7         3   7   7   7   9
       - 144*m1 *m2 *n1 *n2 *n3  + 224*m1 *m2 *n1 *n2 *n3

             3   7   5   17           3   7   5   15   3
       + 4*m1 *m2 *n1 *n2  *n3 - 38*m1 *m2 *n1 *n2  *n3

              3   7   5   13   5         3   7   5   11   7
       + 60*m1 *m2 *n1 *n2  *n3  - 208*m1 *m2 *n1 *n2  *n3

               3   7   5   9   9        3   7   3   15   5
       - 192*m1 *m2 *n1 *n2 *n3  + 32*m1 *m2 *n1 *n2  *n3

              3   7   3   13   7         3   7   3   11   9
       - 40*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2  *n3

             3   7      17   5        3   7      15   7        3   7      13   9
       - 4*m1 *m2 *n1*n2  *n3  + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   8   16   6           2   8   14   8
       - 10*m1 *m2 *n1  *n2 *n3 - 10*m1 *m2 *n1  *n2 *n3

              2   8   14   6   3        2   8   12   10
       - 65*m1 *m2 *n1  *n2 *n3  + 24*m1 *m2 *n1  *n2  *n3

               2   8   12   8   3        2   8   12   6   5
       - 104*m1 *m2 *n1  *n2 *n3  - 93*m1 *m2 *n1  *n2 *n3

              2   8   10   12           2   8   10   10   3
       + 32*m1 *m2 *n1  *n2  *n3 + 27*m1 *m2 *n1  *n2  *n3

               2   8   10   8   5        2   8   10   6   7
       - 166*m1 *m2 *n1  *n2 *n3  + 56*m1 *m2 *n1  *n2 *n3

             2   8   8   14            2   8   8   12   3
       + 2*m1 *m2 *n1 *n2  *n3 + 100*m1 *m2 *n1 *n2  *n3

              2   8   8   10   5         2   8   8   8   7
       - 67*m1 *m2 *n1 *n2  *n3  + 120*m1 *m2 *n1 *n2 *n3

               2   8   8   6   9       2   8   6   16
       + 112*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1 *n2  *n3

              2   8   6   14   3        2   8   6   10   7
       + 28*m1 *m2 *n1 *n2  *n3  + 28*m1 *m2 *n1 *n2  *n3

               2   8   6   8   9       2   8   4   16   3
       + 160*m1 *m2 *n1 *n2 *n3  - 6*m1 *m2 *n1 *n2  *n3

             2   8   4   14   5        2   8   4   12   7
       + 2*m1 *m2 *n1 *n2  *n3  - 76*m1 *m2 *n1 *n2  *n3

              2   8   4   10   9       2   8   2   16   5
       - 12*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1 *n2  *n3

              2   8   2   14   7        2   8   2   12   9       2   8   16   7
       - 36*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3

             2   8   14   9          9   15   7              9   13   9
       + 4*m1 *m2 *n2  *n3  - 5*m1*m2 *n1  *n2 *n3 - 11*m1*m2 *n1  *n2 *n3

                 9   13   7   3          9   11   11              9   11   9   3
       - 25*m1*m2 *n1  *n2 *n3  - 3*m1*m2 *n1  *n2  *n3 - 57*m1*m2 *n1  *n2 *n3

                 9   11   7   5          9   9   13              9   9   11   3
       - 26*m1*m2 *n1  *n2 *n3  + 7*m1*m2 *n1 *n2  *n3 - 31*m1*m2 *n1 *n2  *n3

                 9   9   9   5           9   9   7   7          9   7   15
       - 52*m1*m2 *n1 *n2 *n3  + 24*m1*m2 *n1 *n2 *n3  + 4*m1*m2 *n1 *n2  *n3

                9   7   13   3           9   7   11   5           9   7   9   7
       + 9*m1*m2 *n1 *n2  *n3  - 30*m1*m2 *n1 *n2  *n3  + 64*m1*m2 *n1 *n2 *n3

                 9   7   7   9          9   5   15   3          9   5   13   5
       + 32*m1*m2 *n1 *n2 *n3  + 8*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1 *n2  *n3

                 9   5   11   7           9   5   9   9          9   3   15   5
       + 48*m1*m2 *n1 *n2  *n3  + 56*m1*m2 *n1 *n2 *n3  - 4*m1*m2 *n1 *n2  *n3

                 9   3   11   9          9      15   7          9      13   9
       + 16*m1*m2 *n1 *n2  *n3  - 8*m1*m2 *n1*n2  *n3  - 8*m1*m2 *n1*n2  *n3

           10   14   8          10   12   10          10   12   8   3
       - m2  *n1  *n2 *n3 - 3*m2  *n1  *n2  *n3 - 4*m2  *n1  *n2 *n3

             10   10   12           10   10   10   3       10   10   8   5
       - 3*m2  *n1  *n2  *n3 - 11*m2  *n1  *n2  *n3  - 3*m2  *n1  *n2 *n3

           10   8   14           10   8   12   3       10   8   10   5
       - m2  *n1 *n2  *n3 - 10*m2  *n1 *n2  *n3  - 6*m2  *n1 *n2  *n3

             10   8   8   7       10   6   14   3       10   6   12   5
       + 4*m2  *n1 *n2 *n3  - 3*m2  *n1 *n2  *n3  - 3*m2  *n1 *n2  *n3

              10   6   10   7       10   6   8   9        10   4   12   7
       + 12*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2 *n3  + 12*m2  *n1 *n2  *n3

             10   4   10   9       10   2   14   7       10   2   12   9
       + 8*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3 ) + v1

                12   11   7   2           12   11   5   4
   *v2*(2*a33*m1  *n1  *n2 *n3  - 8*a33*m1  *n1  *n2 *n3

                   12   11   3   6           12   9   9   2
         + 8*a33*m1  *n1  *n2 *n3  + 2*a33*m1  *n1 *n2 *n3

                   12   9   7   4           12   9   5   6
         - 8*a33*m1  *n1 *n2 *n3  + 8*a33*m1  *n1 *n2 *n3

                   11      12   8            11      12   6   2
         + 2*a33*m1  *m2*n1  *n2  - 16*a33*m1  *m2*n1  *n2 *n3

                    11      12   4   4            11      12   2   6
         + 32*a33*m1  *m2*n1  *n2 *n3  - 16*a33*m1  *m2*n1  *n2 *n3

                   11      10   10            11      10   8   2
         + 4*a33*m1  *m2*n1  *n2   - 12*a33*m1  *m2*n1  *n2 *n3

                    11      10   6   4            11      10   4   6
         - 16*a33*m1  *m2*n1  *n2 *n3  + 48*a33*m1  *m2*n1  *n2 *n3

                   11      8   12           11      8   10   2
         + 2*a33*m1  *m2*n1 *n2   + 4*a33*m1  *m2*n1 *n2  *n3

                    11      8   8   4            11      8   6   6
         - 48*a33*m1  *m2*n1 *n2 *n3  + 64*a33*m1  *m2*n1 *n2 *n3

                   10   2   13   7            10   2   13   5   2
         - 8*a33*m1  *m2 *n1  *n2  + 36*a33*m1  *m2 *n1  *n2 *n3

                    10   2   13   3   4           10   2   13      6
         - 40*a33*m1  *m2 *n1  *n2 *n3  + 8*a33*m1  *m2 *n1  *n2*n3

                   10   2   11   9            10   2   11   7   2
         - 6*a33*m1  *m2 *n1  *n2  - 34*a33*m1  *m2 *n1  *n2 *n3

                     10   2   11   5   4             10   2   11   3   6
         + 160*a33*m1  *m2 *n1  *n2 *n3  - 112*a33*m1  *m2 *n1  *n2 *n3

                    10   2   9   11            10   2   9   9   2
         + 12*a33*m1  *m2 *n1 *n2   - 88*a33*m1  *m2 *n1 *n2 *n3

                    10   2   9   7   4             10   2   9   5   6
         + 88*a33*m1  *m2 *n1 *n2 *n3  + 104*a33*m1  *m2 *n1 *n2 *n3

                    10   2   7   13            10   2   7   11   2
         + 10*a33*m1  *m2 *n1 *n2   - 18*a33*m1  *m2 *n1 *n2  *n3

                     10   2   7   9   4             10   2   7   7   6
         - 112*a33*m1  *m2 *n1 *n2 *n3  + 224*a33*m1  *m2 *n1 *n2 *n3

                    9   3   14   6            9   3   14   4   2
         + 12*a33*m1 *m2 *n1  *n2  - 32*a33*m1 *m2 *n1  *n2 *n3

                    9   3   14   2   4            9   3   12   8
         + 16*a33*m1 *m2 *n1  *n2 *n3  - 14*a33*m1 *m2 *n1  *n2

                     9   3   12   6   2             9   3   12   4   4
         + 144*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                    9   3   12   2   6            9   3   10   10
         + 48*a33*m1 *m2 *n1  *n2 *n3  - 44*a33*m1 *m2 *n1  *n2

                    9   3   10   8   2             9   3   10   6   4
         + 84*a33*m1 *m2 *n1  *n2 *n3  + 272*a33*m1 *m2 *n1  *n2 *n3

                     9   3   10   4   6           9   3   8   12
         - 336*a33*m1 *m2 *n1  *n2 *n3  + 2*a33*m1 *m2 *n1 *n2

                     9   3   8   10   2             9   3   8   8   4
         - 172*a33*m1 *m2 *n1 *n2  *n3  + 400*a33*m1 *m2 *n1 *n2 *n3

                    9   3   8   6   6            9   3   6   14
         + 64*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                    9   3   6   12   2             9   3   6   10   4
         - 80*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                     9   3   6   8   6           8   4   15   5
         + 448*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2

                    8   4   15   3   2            8   4   13   7
         + 10*a33*m1 *m2 *n1  *n2 *n3  + 36*a33*m1 *m2 *n1  *n2

                     8   4   13   5   2            8   4   13   3   4
         - 138*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2 *n3

                   8   4   13      6            8   4   11   9
         + 8*a33*m1 *m2 *n1  *n2*n3  + 26*a33*m1 *m2 *n1  *n2

                     8   4   11   7   2             8   4   11   5   4
         + 176*a33*m1 *m2 *n1  *n2 *n3  - 504*a33*m1 *m2 *n1  *n2 *n3

                     8   4   11   3   6            8   4   9   11
         + 104*a33*m1 *m2 *n1  *n2 *n3  - 68*a33*m1 *m2 *n1 *n2

                     8   4   9   9   2            8   4   9   7   4
         + 346*a33*m1 *m2 *n1 *n2 *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                     8   4   9   5   6            8   4   7   13
         - 576*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                     8   4   7   11   2             8   4   7   9   4
         - 108*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                     8   4   7   7   6            8   4   5   15
         - 112*a33*m1 *m2 *n1 *n2 *n3  + 20*a33*m1 *m2 *n1 *n2

                     8   4   5   13   2             8   4   5   9   6
         - 130*a33*m1 *m2 *n1 *n2  *n3  + 560*a33*m1 *m2 *n1 *n2 *n3

                   7   5   16   4            7   5   14   6
         + 2*a33*m1 *m2 *n1  *n2  - 24*a33*m1 *m2 *n1  *n2

                    7   5   14   4   2            7   5   14   2   4
         + 28*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2 *n3

                    7   5   12   8             7   5   12   6   2
         + 26*a33*m1 *m2 *n1  *n2  - 212*a33*m1 *m2 *n1  *n2 *n3

                    7   5   12   4   4            7   5   12   2   6
         + 80*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2 *n3

                    7   5   10   10            7   5   10   8   2
         + 72*a33*m1 *m2 *n1  *n2   + 24*a33*m1 *m2 *n1  *n2 *n3

                     7   5   10   6   4            7   5   10   4   6
         - 608*a33*m1 *m2 *n1  *n2 *n3  + 64*a33*m1 *m2 *n1  *n2 *n3

                    7   5   8   12             7   5   8   10   2
         - 30*a33*m1 *m2 *n1 *n2   + 424*a33*m1 *m2 *n1 *n2  *n3

                     7   5   8   8   4             7   5   8   6   6
         - 224*a33*m1 *m2 *n1 *n2 *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                    7   5   6   14            7   5   6   12   2
         - 40*a33*m1 *m2 *n1 *n2   + 52*a33*m1 *m2 *n1 *n2  *n3

                     7   5   6   10   4             7   5   6   8   6
         + 560*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                    7   5   4   16             7   5   4   14   2
         + 10*a33*m1 *m2 *n1 *n2   - 108*a33*m1 *m2 *n1 *n2  *n3

                     7   5   4   12   4             7   5   4   10   6
         + 112*a33*m1 *m2 *n1 *n2  *n3  + 448*a33*m1 *m2 *n1 *n2  *n3

                   6   6   15   5            6   6   15   3   2
         + 2*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2 *n3

                    6   6   13   7            6   6   13   5   2
         - 16*a33*m1 *m2 *n1  *n2  - 24*a33*m1 *m2 *n1  *n2 *n3

                     6   6   13   3   4           6   6   11   9
         + 112*a33*m1 *m2 *n1  *n2 *n3  + 2*a33*m1 *m2 *n1  *n2

                     6   6   11   7   2             6   6   11   5   4
         - 158*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                     6   6   11   3   6            6   6   9   11
         + 224*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1 *n2

                    6   6   9   9   2             6   6   9   7   4
         - 24*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                     6   6   9   5   6           6   6   7   13
         - 112*a33*m1 *m2 *n1 *n2 *n3  + 2*a33*m1 *m2 *n1 *n2

                     6   6   7   11   2             6   6   7   9   4
         + 234*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                     6   6   7   7   6            6   6   5   15
         - 672*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                    6   6   5   13   2             6   6   5   11   4
         + 88*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                     6   6   5   9   6           6   6   3   17
         - 112*a33*m1 *m2 *n1 *n2 *n3  + 2*a33*m1 *m2 *n1 *n2

                    6   6   3   15   2             6   6   3   13   4
         - 46*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                     6   6   3   11   6           5   7   16   4
         + 224*a33*m1 *m2 *n1 *n2  *n3  + 2*a33*m1 *m2 *n1  *n2

                    5   7   14   6            5   7   14   4   2
         - 16*a33*m1 *m2 *n1  *n2  + 60*a33*m1 *m2 *n1  *n2 *n3

                   5   7   12   8             5   7   12   6   2
         + 2*a33*m1 *m2 *n1  *n2  - 172*a33*m1 *m2 *n1  *n2 *n3

                     5   7   12   4   4            5   7   10   10
         + 336*a33*m1 *m2 *n1  *n2 *n3  + 40*a33*m1 *m2 *n1  *n2

                     5   7   10   8   2             5   7   10   6   4
         - 192*a33*m1 *m2 *n1  *n2 *n3  - 336*a33*m1 *m2 *n1  *n2 *n3

                     5   7   10   4   6           5   7   8   12
         + 448*a33*m1 *m2 *n1  *n2 *n3  + 2*a33*m1 *m2 *n1 *n2

                     5   7   8   10   2             5   7   8   8   4
         + 136*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                     5   7   8   6   6            5   7   6   14
         - 224*a33*m1 *m2 *n1 *n2 *n3  - 16*a33*m1 *m2 *n1 *n2

                     5   7   6   12   2             5   7   6   8   6
         + 116*a33*m1 *m2 *n1 *n2  *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                   5   7   4   16            5   7   4   14   2
         + 2*a33*m1 *m2 *n1 *n2   + 12*a33*m1 *m2 *n1 *n2  *n3

                    5   7   4   12   4            5   7   4   10   6
         + 48*a33*m1 *m2 *n1 *n2  *n3  + 64*a33*m1 *m2 *n1 *n2  *n3

                   5   7   2   16   2            5   7   2   14   4
         - 8*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

                    5   7   2   12   6            4   8   15   5
         + 64*a33*m1 *m2 *n1 *n2  *n3  + 10*a33*m1 *m2 *n1  *n2

                    4   8   13   7             4   8   13   5   2
         - 40*a33*m1 *m2 *n1  *n2  + 150*a33*m1 *m2 *n1  *n2 *n3

                    4   8   11   9             4   8   11   7   2
         - 30*a33*m1 *m2 *n1  *n2  - 220*a33*m1 *m2 *n1  *n2 *n3

                     4   8   11   5   4            4   8   9   11
         + 560*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1 *n2

                     4   8   9   9   2             4   8   9   7   4
         - 382*a33*m1 *m2 *n1 *n2 *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                     4   8   9   5   6            4   8   7   13
         + 560*a33*m1 *m2 *n1 *n2 *n3  + 26*a33*m1 *m2 *n1 *n2

                     4   8   7   11   2             4   8   7   9   4
         + 144*a33*m1 *m2 *n1 *n2  *n3  - 784*a33*m1 *m2 *n1 *n2 *n3

                     4   8   7   7   6            4   8   5   15
         - 112*a33*m1 *m2 *n1 *n2 *n3  - 24*a33*m1 *m2 *n1 *n2

                     4   8   5   13   2            4   8   5   11   4
         + 134*a33*m1 *m2 *n1 *n2  *n3  + 32*a33*m1 *m2 *n1 *n2  *n3

                     4   8   5   9   6           4   8   3   17
         - 576*a33*m1 *m2 *n1 *n2 *n3  + 2*a33*m1 *m2 *n1 *n2

                    4   8   3   15   2            4   8   3   13   4
         - 22*a33*m1 *m2 *n1 *n2  *n3  + 40*a33*m1 *m2 *n1 *n2  *n3

                     4   8   3   11   6           4   8      15   4
         + 104*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n1*n2  *n3

                   4   8      13   6            3   9   14   6
         + 8*a33*m1 *m2 *n1*n2  *n3  + 20*a33*m1 *m2 *n1  *n2

                    3   9   12   8             3   9   12   6   2
         - 30*a33*m1 *m2 *n1  *n2  + 200*a33*m1 *m2 *n1  *n2 *n3

                    3   9   10   10            3   9   10   8   2
         - 68*a33*m1 *m2 *n1  *n2   - 60*a33*m1 *m2 *n1  *n2 *n3

                     3   9   10   6   4            3   9   8   12
         + 560*a33*m1 *m2 *n1  *n2 *n3  + 26*a33*m1 *m2 *n1 *n2

                     3   9   8   10   2             3   9   8   8   4
         - 388*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2 *n3

                     3   9   8   6   6            3   9   6   14
         + 448*a33*m1 *m2 *n1 *n2 *n3  + 36*a33*m1 *m2 *n1 *n2

                    3   9   6   12   2             3   9   6   10   4
         - 24*a33*m1 *m2 *n1 *n2  *n3  - 544*a33*m1 *m2 *n1 *n2  *n3

                    3   9   6   8   6           3   9   4   16
         + 64*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2

                    3   9   4   14   2            3   9   4   12   4
         + 96*a33*m1 *m2 *n1 *n2  *n3  - 64*a33*m1 *m2 *n1 *n2  *n3

                     3   9   4   10   6           3   9   2   16   2
         - 336*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1 *n2  *n3

                    3   9   2   14   4            3   9   2   12   6
         + 32*a33*m1 *m2 *n1 *n2  *n3  + 48*a33*m1 *m2 *n1 *n2  *n3

                    2   10   13   7           2   10   11   9
         + 20*a33*m1 *m2  *n1  *n2  + 2*a33*m1 *m2  *n1  *n2

                     2   10   11   7   2            2   10   9   11
         + 150*a33*m1 *m2  *n1  *n2 *n3  - 44*a33*m1 *m2  *n1 *n2

                    2   10   9   9   2             2   10   9   7   4
         + 88*a33*m1 *m2  *n1 *n2 *n3  + 336*a33*m1 *m2  *n1 *n2 *n3

                    2   10   7   13             2   10   7   11   2
         - 14*a33*m1 *m2  *n1 *n2   - 162*a33*m1 *m2  *n1 *n2  *n3

                     2   10   7   9   4             2   10   7   7   6
         + 240*a33*m1 *m2  *n1 *n2 *n3  + 224*a33*m1 *m2  *n1 *n2 *n3

                    2   10   5   15            2   10   5   13   2
         + 12*a33*m1 *m2  *n1 *n2   - 76*a33*m1 *m2  *n1 *n2  *n3

                     2   10   5   11   4             2   10   5   9   6
         - 168*a33*m1 *m2  *n1 *n2  *n3  + 104*a33*m1 *m2  *n1 *n2 *n3

                    2   10   3   15   2            2   10   3   13   4
         + 24*a33*m1 *m2  *n1 *n2  *n3  - 64*a33*m1 *m2  *n1 *n2  *n3

                     2   10   3   11   6           2   10      15   4
         - 112*a33*m1 *m2  *n1 *n2  *n3  + 8*a33*m1 *m2  *n1*n2  *n3

                   2   10      13   6               11   12   8
         + 8*a33*m1 *m2  *n1*n2  *n3  + 10*a33*m1*m2  *n1  *n2

                       11   10   10               11   10   8   2
         + 12*a33*m1*m2  *n1  *n2   + 60*a33*m1*m2  *n1  *n2 *n3

                      11   8   12               11   8   10   2
         - 6*a33*m1*m2  *n1 *n2   + 76*a33*m1*m2  *n1 *n2  *n3

                        11   8   8   4              11   6   14
         + 112*a33*m1*m2  *n1 *n2 *n3  - 8*a33*m1*m2  *n1 *n2

                      11   6   12   2                11   6   10   4
         - 8*a33*m1*m2  *n1 *n2  *n3  + 128*a33*m1*m2  *n1 *n2  *n3

                       11   6   8   6               11   4   14   2
         + 64*a33*m1*m2  *n1 *n2 *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                       11   4   10   6               11   2   14   4
         + 48*a33*m1*m2  *n1 *n2  *n3  - 16*a33*m1*m2  *n1 *n2  *n3

                       11   2   12   6           12   11   9
         - 16*a33*m1*m2  *n1 *n2  *n3  + 2*a33*m2  *n1  *n2

                   12   9   11            12   9   9   2           12   7   13
         + 4*a33*m2  *n1 *n2   + 10*a33*m2  *n1 *n2 *n3  + 2*a33*m2  *n1 *n2

                    12   7   11   2            12   7   9   4
         + 18*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

                   12   5   13   2            12   5   11   4
         + 8*a33*m2  *n1 *n2  *n3  + 24*a33*m2  *n1 *n2  *n3

                   12   5   9   6           12   3   13   4
         + 8*a33*m2  *n1 *n2 *n3  + 8*a33*m2  *n1 *n2  *n3

                   12   3   11   6         2        2   13   10   6   2
         + 8*a33*m2  *n1 *n2  *n3 ) + v1*v3 *( - a33 *m1  *n1  *n2 *n3

              2   13   10   4   4        2   13   10   2   6
       + 4*a33 *m1  *n1  *n2 *n3  - 4*a33 *m1  *n1  *n2 *n3

            2   13   8   8   2        2   13   8   6   4
       - a33 *m1  *n1 *n2 *n3  + 4*a33 *m1  *n1 *n2 *n3

              2   13   8   4   6      2   12      11   7
       - 4*a33 *m1  *n1 *n2 *n3  - a33 *m1  *m2*n1  *n2

              2   12      11   5   2         2   12      11   3   4
       + 8*a33 *m1  *m2*n1  *n2 *n3  - 16*a33 *m1  *m2*n1  *n2 *n3

              2   12      11      6        2   12      9   9
       + 8*a33 *m1  *m2*n1  *n2*n3  - 2*a33 *m1  *m2*n1 *n2

              2   12      9   7   2        2   12      9   5   4
       + 6*a33 *m1  *m2*n1 *n2 *n3  + 8*a33 *m1  *m2*n1 *n2 *n3

               2   12      9   3   6      2   12      7   11
       - 24*a33 *m1  *m2*n1 *n2 *n3  - a33 *m1  *m2*n1 *n2

              2   12      7   9   2         2   12      7   7   4
       - 2*a33 *m1  *m2*n1 *n2 *n3  + 24*a33 *m1  *m2*n1 *n2 *n3

               2   12      7   5   6        2   11   2   12   6
       - 32*a33 *m1  *m2*n1 *n2 *n3  + 4*a33 *m1  *m2 *n1  *n2

               2   11   2   12   4   2         2   11   2   12   2   4
       - 18*a33 *m1  *m2 *n1  *n2 *n3  + 20*a33 *m1  *m2 *n1  *n2 *n3

              2   11   2   12   6        2   11   2   10   8
       - 4*a33 *m1  *m2 *n1  *n3  + 3*a33 *m1  *m2 *n1  *n2

               2   11   2   10   6   2         2   11   2   10   4   4
       + 17*a33 *m1  *m2 *n1  *n2 *n3  - 80*a33 *m1  *m2 *n1  *n2 *n3

               2   11   2   10   2   6        2   11   2   8   10
       + 56*a33 *m1  *m2 *n1  *n2 *n3  - 6*a33 *m1  *m2 *n1 *n2

               2   11   2   8   8   2         2   11   2   8   6   4
       + 44*a33 *m1  *m2 *n1 *n2 *n3  - 44*a33 *m1  *m2 *n1 *n2 *n3

               2   11   2   8   4   6        2   11   2   6   12
       - 52*a33 *m1  *m2 *n1 *n2 *n3  - 5*a33 *m1  *m2 *n1 *n2

              2   11   2   6   10   2         2   11   2   6   8   4
       + 9*a33 *m1  *m2 *n1 *n2  *n3  + 56*a33 *m1  *m2 *n1 *n2 *n3

                2   11   2   6   6   6        2   10   3   13   5
       - 112*a33 *m1  *m2 *n1 *n2 *n3  - 6*a33 *m1  *m2 *n1  *n2

               2   10   3   13   3   2        2   10   3   13      4
       + 16*a33 *m1  *m2 *n1  *n2 *n3  - 8*a33 *m1  *m2 *n1  *n2*n3

              2   10   3   11   7         2   10   3   11   5   2
       + 7*a33 *m1  *m2 *n1  *n2  - 72*a33 *m1  *m2 *n1  *n2 *n3

                2   10   3   11   3   4         2   10   3   11      6
       + 112*a33 *m1  *m2 *n1  *n2 *n3  - 24*a33 *m1  *m2 *n1  *n2*n3

               2   10   3   9   9         2   10   3   9   7   2
       + 22*a33 *m1  *m2 *n1 *n2  - 42*a33 *m1  *m2 *n1 *n2 *n3

                2   10   3   9   5   4          2   10   3   9   3   6
       - 136*a33 *m1  *m2 *n1 *n2 *n3  + 168*a33 *m1  *m2 *n1 *n2 *n3

            2   10   3   7   11         2   10   3   7   9   2
       - a33 *m1  *m2 *n1 *n2   + 86*a33 *m1  *m2 *n1 *n2 *n3

                2   10   3   7   7   4         2   10   3   7   5   6
       - 200*a33 *m1  *m2 *n1 *n2 *n3  - 32*a33 *m1  *m2 *n1 *n2 *n3

               2   10   3   5   13         2   10   3   5   11   2
       - 10*a33 *m1  *m2 *n1 *n2   + 40*a33 *m1  *m2 *n1 *n2  *n3

               2   10   3   5   9   4          2   10   3   5   7   6
       + 56*a33 *m1  *m2 *n1 *n2 *n3  - 224*a33 *m1  *m2 *n1 *n2 *n3

              2   9   4   14   4        2   9   4   14   2   2
       + 4*a33 *m1 *m2 *n1  *n2  - 5*a33 *m1 *m2 *n1  *n2 *n3

               2   9   4   12   6         2   9   4   12   4   2
       - 18*a33 *m1 *m2 *n1  *n2  + 69*a33 *m1 *m2 *n1  *n2 *n3

               2   9   4   12   2   4        2   9   4   12   6
       - 36*a33 *m1 *m2 *n1  *n2 *n3  - 4*a33 *m1 *m2 *n1  *n3

               2   9   4   10   8         2   9   4   10   6   2
       - 13*a33 *m1 *m2 *n1  *n2  - 88*a33 *m1 *m2 *n1  *n2 *n3

                2   9   4   10   4   4         2   9   4   10   2   6
       + 252*a33 *m1 *m2 *n1  *n2 *n3  - 52*a33 *m1 *m2 *n1  *n2 *n3

               2   9   4   8   10          2   9   4   8   8   2
       + 34*a33 *m1 *m2 *n1 *n2   - 173*a33 *m1 *m2 *n1 *n2 *n3

               2   9   4   8   6   4          2   9   4   8   4   6
       - 48*a33 *m1 *m2 *n1 *n2 *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

               2   9   4   6   12         2   9   4   6   10   2
       + 15*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

                2   9   4   6   8   4         2   9   4   6   6   6
       - 336*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

               2   9   4   4   14         2   9   4   4   12   2
       - 10*a33 *m1 *m2 *n1 *n2   + 65*a33 *m1 *m2 *n1 *n2  *n3

                2   9   4   4   8   6      2   8   5   15   3
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1  *n2

               2   8   5   13   5         2   8   5   13   3   2
       + 12*a33 *m1 *m2 *n1  *n2  - 14*a33 *m1 *m2 *n1  *n2 *n3

              2   8   5   13      4         2   8   5   11   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  - 13*a33 *m1 *m2 *n1  *n2

                2   8   5   11   5   2         2   8   5   11   3   4
       + 106*a33 *m1 *m2 *n1  *n2 *n3  - 40*a33 *m1 *m2 *n1  *n2 *n3

               2   8   5   11      6         2   8   5   9   9
       - 32*a33 *m1 *m2 *n1  *n2*n3  - 36*a33 *m1 *m2 *n1 *n2

               2   8   5   9   7   2          2   8   5   9   5   4
       - 12*a33 *m1 *m2 *n1 *n2 *n3  + 304*a33 *m1 *m2 *n1 *n2 *n3

               2   8   5   9   3   6         2   8   5   7   11
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 15*a33 *m1 *m2 *n1 *n2

                2   8   5   7   9   2          2   8   5   7   7   4
       - 212*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   8   5   7   5   6         2   8   5   5   13
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 20*a33 *m1 *m2 *n1 *n2

               2   8   5   5   11   2          2   8   5   5   9   4
       - 26*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

                2   8   5   5   7   6        2   8   5   3   15
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 5*a33 *m1 *m2 *n1 *n2

               2   8   5   3   13   2         2   8   5   3   11   4
       + 54*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   8   5   3   9   6      2   7   6   14   4
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1  *n2

              2   7   6   14   2   2        2   7   6   12   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  + 8*a33 *m1 *m2 *n1  *n2

               2   7   6   12   4   2         2   7   6   12   2   4
       + 12*a33 *m1 *m2 *n1  *n2 *n3  - 56*a33 *m1 *m2 *n1  *n2 *n3

            2   7   6   10   8         2   7   6   10   6   2
       - a33 *m1 *m2 *n1  *n2  + 79*a33 *m1 *m2 *n1  *n2 *n3

               2   7   6   10   4   4          2   7   6   10   2   6
       + 56*a33 *m1 *m2 *n1  *n2 *n3  - 112*a33 *m1 *m2 *n1  *n2 *n3

               2   7   6   8   10         2   7   6   8   8   2
       - 20*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2 *n3

                2   7   6   8   6   4         2   7   6   8   4   6
       + 280*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

            2   7   6   6   12          2   7   6   6   10   2
       - a33 *m1 *m2 *n1 *n2   - 117*a33 *m1 *m2 *n1 *n2  *n3

                2   7   6   6   8   4          2   7   6   6   6   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

              2   7   6   4   14         2   7   6   4   12   2
       + 8*a33 *m1 *m2 *n1 *n2   - 44*a33 *m1 *m2 *n1 *n2  *n3

                2   7   6   4   10   4         2   7   6   4   8   6
       - 112*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

            2   7   6   2   16         2   7   6   2   14   2
       - a33 *m1 *m2 *n1 *n2   + 23*a33 *m1 *m2 *n1 *n2  *n3

               2   7   6   2   12   4          2   7   6   2   10   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

            2   6   7   15   3        2   6   7   13   5
       - a33 *m1 *m2 *n1  *n2  + 8*a33 *m1 *m2 *n1  *n2

               2   6   7   13   3   2      2   6   7   11   7
       - 30*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1  *n2

               2   6   7   11   5   2          2   6   7   11   3   4
       + 86*a33 *m1 *m2 *n1  *n2 *n3  - 168*a33 *m1 *m2 *n1  *n2 *n3

               2   6   7   9   9         2   6   7   9   7   2
       - 20*a33 *m1 *m2 *n1 *n2  + 96*a33 *m1 *m2 *n1 *n2 *n3

                2   6   7   9   5   4          2   6   7   9   3   6
       + 168*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

            2   6   7   7   11         2   6   7   7   9   2
       - a33 *m1 *m2 *n1 *n2   - 68*a33 *m1 *m2 *n1 *n2 *n3

                2   6   7   7   7   4          2   6   7   7   5   6
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   6   7   5   13         2   6   7   5   11   2
       + 8*a33 *m1 *m2 *n1 *n2   - 58*a33 *m1 *m2 *n1 *n2  *n3

                2   6   7   5   7   6      2   6   7   3   15
       + 336*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

              2   6   7   3   13   2         2   6   7   3   11   4
       - 6*a33 *m1 *m2 *n1 *n2  *n3  - 24*a33 *m1 *m2 *n1 *n2  *n3

               2   6   7   3   9   6        2   6   7      15   2
       - 32*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1*n2  *n3

               2   6   7      13   4         2   6   7      11   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 32*a33 *m1 *m2 *n1*n2  *n3

              2   5   8   14   4         2   5   8   12   6
       - 5*a33 *m1 *m2 *n1  *n2  + 20*a33 *m1 *m2 *n1  *n2

               2   5   8   12   4   2         2   5   8   10   8
       - 75*a33 *m1 *m2 *n1  *n2 *n3  + 15*a33 *m1 *m2 *n1  *n2

                2   5   8   10   6   2          2   5   8   10   4   4
       + 110*a33 *m1 *m2 *n1  *n2 *n3  - 280*a33 *m1 *m2 *n1  *n2 *n3

               2   5   8   8   10          2   5   8   8   8   2
       - 36*a33 *m1 *m2 *n1 *n2   + 191*a33 *m1 *m2 *n1 *n2 *n3

                2   5   8   8   6   4          2   5   8   8   4   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

               2   5   8   6   12         2   5   8   6   10   2
       - 13*a33 *m1 *m2 *n1 *n2   - 72*a33 *m1 *m2 *n1 *n2  *n3

                2   5   8   6   8   4         2   5   8   6   6   6
       + 392*a33 *m1 *m2 *n1 *n2 *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

               2   5   8   4   14         2   5   8   4   12   2
       + 12*a33 *m1 *m2 *n1 *n2   - 67*a33 *m1 *m2 *n1 *n2  *n3

               2   5   8   4   10   4          2   5   8   4   8   6
       - 16*a33 *m1 *m2 *n1 *n2  *n3  + 288*a33 *m1 *m2 *n1 *n2 *n3

            2   5   8   2   16         2   5   8   2   14   2
       - a33 *m1 *m2 *n1 *n2   + 11*a33 *m1 *m2 *n1 *n2  *n3

               2   5   8   2   12   4         2   5   8   2   10   6
       - 20*a33 *m1 *m2 *n1 *n2  *n3  - 52*a33 *m1 *m2 *n1 *n2  *n3

              2   5   8   14   4        2   5   8   12   6
       - 4*a33 *m1 *m2 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

               2   4   9   13   5         2   4   9   11   7
       - 10*a33 *m1 *m2 *n1  *n2  + 15*a33 *m1 *m2 *n1  *n2

                2   4   9   11   5   2         2   4   9   9   9
       - 100*a33 *m1 *m2 *n1  *n2 *n3  + 34*a33 *m1 *m2 *n1 *n2

               2   4   9   9   7   2          2   4   9   9   5   4
       + 30*a33 *m1 *m2 *n1 *n2 *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

               2   4   9   7   11          2   4   9   7   9   2
       - 13*a33 *m1 *m2 *n1 *n2   + 194*a33 *m1 *m2 *n1 *n2 *n3

               2   4   9   7   7   4          2   4   9   7   5   6
       - 56*a33 *m1 *m2 *n1 *n2 *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

               2   4   9   5   13         2   4   9   5   11   2
       - 18*a33 *m1 *m2 *n1 *n2   + 12*a33 *m1 *m2 *n1 *n2  *n3

                2   4   9   5   9   4         2   4   9   5   7   6
       + 272*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

              2   4   9   3   15         2   4   9   3   13   2
       + 4*a33 *m1 *m2 *n1 *n2   - 48*a33 *m1 *m2 *n1 *n2  *n3

               2   4   9   3   11   4          2   4   9   3   9   6
       + 32*a33 *m1 *m2 *n1 *n2  *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

              2   4   9      15   2         2   4   9      13   4
       + 4*a33 *m1 *m2 *n1*n2  *n3  - 16*a33 *m1 *m2 *n1*n2  *n3

               2   4   9      11   6         2   3   10   12   6
       - 24*a33 *m1 *m2 *n1*n2  *n3  - 10*a33 *m1 *m2  *n1  *n2

            2   3   10   10   8         2   3   10   10   6   2
       - a33 *m1 *m2  *n1  *n2  - 75*a33 *m1 *m2  *n1  *n2 *n3

               2   3   10   8   10         2   3   10   8   8   2
       + 22*a33 *m1 *m2  *n1 *n2   - 44*a33 *m1 *m2  *n1 *n2 *n3

                2   3   10   8   6   4        2   3   10   6   12
       - 168*a33 *m1 *m2  *n1 *n2 *n3  + 7*a33 *m1 *m2  *n1 *n2

               2   3   10   6   10   2          2   3   10   6   8   4
       + 81*a33 *m1 *m2  *n1 *n2  *n3  - 120*a33 *m1 *m2  *n1 *n2 *n3

                2   3   10   6   6   6        2   3   10   4   14
       - 112*a33 *m1 *m2  *n1 *n2 *n3  - 6*a33 *m1 *m2  *n1 *n2

               2   3   10   4   12   2         2   3   10   4   10   4
       + 38*a33 *m1 *m2  *n1 *n2  *n3  + 84*a33 *m1 *m2  *n1 *n2  *n3

               2   3   10   4   8   6         2   3   10   2   14   2
       - 52*a33 *m1 *m2  *n1 *n2 *n3  - 12*a33 *m1 *m2  *n1 *n2  *n3

               2   3   10   2   12   4         2   3   10   2   10   6
       + 32*a33 *m1 *m2  *n1 *n2  *n3  + 56*a33 *m1 *m2  *n1 *n2  *n3

              2   3   10   14   4        2   3   10   12   6
       - 4*a33 *m1 *m2  *n2  *n3  - 4*a33 *m1 *m2  *n2  *n3

              2   2   11   11   7        2   2   11   9   9
       - 5*a33 *m1 *m2  *n1  *n2  - 6*a33 *m1 *m2  *n1 *n2

               2   2   11   9   7   2        2   2   11   7   11
       - 30*a33 *m1 *m2  *n1 *n2 *n3  + 3*a33 *m1 *m2  *n1 *n2

               2   2   11   7   9   2         2   2   11   7   7   4
       - 38*a33 *m1 *m2  *n1 *n2 *n3  - 56*a33 *m1 *m2  *n1 *n2 *n3

              2   2   11   5   13        2   2   11   5   11   2
       + 4*a33 *m1 *m2  *n1 *n2   + 4*a33 *m1 *m2  *n1 *n2  *n3

               2   2   11   5   9   4         2   2   11   5   7   6
       - 64*a33 *m1 *m2  *n1 *n2 *n3  - 32*a33 *m1 *m2  *n1 *n2 *n3

               2   2   11   3   13   2         2   2   11   3   9   6
       + 12*a33 *m1 *m2  *n1 *n2  *n3  - 24*a33 *m1 *m2  *n1 *n2 *n3

              2   2   11      13   4        2   2   11      11   6
       + 8*a33 *m1 *m2  *n1*n2  *n3  + 8*a33 *m1 *m2  *n1*n2  *n3

            2      12   10   8        2      12   8   10
       - a33 *m1*m2  *n1  *n2  - 2*a33 *m1*m2  *n1 *n2

              2      12   8   8   2      2      12   6   12
       - 5*a33 *m1*m2  *n1 *n2 *n3  - a33 *m1*m2  *n1 *n2

              2      12   6   10   2        2      12   6   8   4
       - 9*a33 *m1*m2  *n1 *n2  *n3  - 8*a33 *m1*m2  *n1 *n2 *n3

              2      12   4   12   2         2      12   4   10   4
       - 4*a33 *m1*m2  *n1 *n2  *n3  - 12*a33 *m1*m2  *n1 *n2  *n3

              2      12   4   8   6        2      12   2   12   4
       - 4*a33 *m1*m2  *n1 *n2 *n3  - 4*a33 *m1*m2  *n1 *n2  *n3

              2      12   2   10   6                   12   11   6   3
       - 4*a33 *m1*m2  *n1 *n2  *n3 ) + v1*v3*(2*a33*m1  *n1  *n2 *n3

                 12   11   4   5           12   11   2   7
       - 8*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

                 12   9   8   3           12   9   6   5
       + 2*a33*m1  *n1 *n2 *n3  - 8*a33*m1  *n1 *n2 *n3

                 12   9   4   7           11      12   7
       + 8*a33*m1  *n1 *n2 *n3  + 2*a33*m1  *m2*n1  *n2 *n3

                  11      12   5   3            11      12   3   5
       - 16*a33*m1  *m2*n1  *n2 *n3  + 32*a33*m1  *m2*n1  *n2 *n3

                  11      12      7           11      10   9
       - 16*a33*m1  *m2*n1  *n2*n3  + 4*a33*m1  *m2*n1  *n2 *n3

                  11      10   7   3            11      10   5   5
       - 10*a33*m1  *m2*n1  *n2 *n3  - 24*a33*m1  *m2*n1  *n2 *n3

                  11      10   3   7           11      8   11
       + 56*a33*m1  *m2*n1  *n2 *n3  + 2*a33*m1  *m2*n1 *n2  *n3

                 11      8   9   3            11      8   7   5
       + 6*a33*m1  *m2*n1 *n2 *n3  - 56*a33*m1  *m2*n1 *n2 *n3

                  11      8   5   7           10   2   13   6
       + 72*a33*m1  *m2*n1 *n2 *n3  - 8*a33*m1  *m2 *n1  *n2 *n3

                  10   2   13   4   3            10   2   13   2   5
       + 36*a33*m1  *m2 *n1  *n2 *n3  - 40*a33*m1  *m2 *n1  *n2 *n3

                 10   2   13   7           10   2   11   8
       + 8*a33*m1  *m2 *n1  *n3  - 4*a33*m1  *m2 *n1  *n2 *n3

                  10   2   11   6   3             10   2   11   4   5
       - 52*a33*m1  *m2 *n1  *n2 *n3  + 200*a33*m1  *m2 *n1  *n2 *n3

                   10   2   11   2   7            10   2   9   10
       - 136*a33*m1  *m2 *n1  *n2 *n3  + 16*a33*m1  *m2 *n1 *n2  *n3

                   10   2   9   8   3            10   2   9   6   5
       - 102*a33*m1  *m2 *n1 *n2 *n3  + 80*a33*m1  *m2 *n1 *n2 *n3

                   10   2   9   4   7            10   2   7   12
       + 144*a33*m1  *m2 *n1 *n2 *n3  + 12*a33*m1  *m2 *n1 *n2  *n3

                  10   2   7   10   3             10   2   7   8   5
       - 14*a33*m1  *m2 *n1 *n2  *n3  - 160*a33*m1  *m2 *n1 *n2 *n3

                   10   2   7   6   7            9   3   14   5
       + 288*a33*m1  *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1  *n2 *n3

                  9   3   14   3   3            9   3   14      5
       - 32*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2*n3

                  9   3   12   7                9   3   12   5   3
       - 24*a33*m1 *m2 *n1  *n2 *n3 + 196*a33*m1 *m2 *n1  *n2 *n3

                   9   3   12   3   5            9   3   12      7
       - 296*a33*m1 *m2 *n1  *n2 *n3  + 72*a33*m1 *m2 *n1  *n2*n3

                  9   3   10   9               9   3   10   7   3
       - 54*a33*m1 *m2 *n1  *n2 *n3 + 60*a33*m1 *m2 *n1  *n2 *n3

                   9   3   10   5   5             9   3   10   3   7
       + 456*a33*m1 *m2 *n1  *n2 *n3  - 504*a33*m1 *m2 *n1  *n2 *n3

                  9   3   8   11                9   3   8   9   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 266*a33*m1 *m2 *n1 *n2 *n3

                   9   3   8   7   5            9   3   8   5   7
       + 544*a33*m1 *m2 *n1 *n2 *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                  9   3   6   13               9   3   6   11   3
       + 30*a33*m1 *m2 *n1 *n2  *n3 - 98*a33*m1 *m2 *n1 *n2  *n3

                   9   3   6   9   5             9   3   6   7   7
       - 224*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                 8   4   15   4               8   4   15   2   3
       - 8*a33*m1 *m2 *n1  *n2 *n3 + 10*a33*m1 *m2 *n1  *n2 *n3

                  8   4   13   6                8   4   13   4   3
       + 56*a33*m1 *m2 *n1  *n2 *n3 - 206*a33*m1 *m2 *n1  *n2 *n3

                   8   4   13   2   5            8   4   11   8
       + 128*a33*m1 *m2 *n1  *n2 *n3  + 16*a33*m1 *m2 *n1  *n2 *n3

                   8   4   11   6   3             8   4   11   4   5
       + 372*a33*m1 *m2 *n1  *n2 *n3  - 928*a33*m1 *m2 *n1  *n2 *n3

                   8   4   11   2   7             8   4   9   10
       + 288*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1 *n2  *n3

                   8   4   9   8   3             8   4   9   6   5
       + 532*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                    8   4   9   4   7            8   4   7   12
       - 1056*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2  *n3

                   8   4   7   10   3              8   4   7   8   5
       - 266*a33*m1 *m2 *n1 *n2  *n3  + 1232*a33*m1 *m2 *n1 *n2 *n3

                   8   4   7   6   7            8   4   5   14
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 40*a33*m1 *m2 *n1 *n2  *n3

                   8   4   5   12   3             8   4   5   10   5
       - 210*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                    8   4   5   8   7           7   5   16   3
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 2*a33*m1 *m2 *n1  *n2 *n3

                  7   5   14   5               7   5   14   3   3
       - 44*a33*m1 *m2 *n1  *n2 *n3 + 70*a33*m1 *m2 *n1  *n2 *n3

                  7   5   12   7                7   5   12   5   3
       + 86*a33*m1 *m2 *n1  *n2 *n3 - 546*a33*m1 *m2 *n1  *n2 *n3

                   7   5   12   3   5             7   5   10   9
       + 448*a33*m1 *m2 *n1  *n2 *n3  + 152*a33*m1 *m2 *n1  *n2 *n3

                   7   5   10   7   3              7   5   10   5   5
       + 140*a33*m1 *m2 *n1  *n2 *n3  - 1568*a33*m1 *m2 *n1  *n2 *n3

                   7   5   10   3   7             7   5   8   11
       + 672*a33*m1 *m2 *n1  *n2 *n3  - 110*a33*m1 *m2 *n1 *n2  *n3

                    7   5   8   9   3             7   5   8   7   5
       + 1036*a33*m1 *m2 *n1 *n2 *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                    7   5   8   5   7             7   5   6   13
       - 1344*a33*m1 *m2 *n1 *n2 *n3  - 100*a33*m1 *m2 *n1 *n2  *n3

                  7   5   6   11   3              7   5   6   9   5
       + 42*a33*m1 *m2 *n1 *n2  *n3  + 1456*a33*m1 *m2 *n1 *n2 *n3

                    7   5   6   7   7            7   5   4   15
       - 1008*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2  *n3

                   7   5   4   13   3             7   5   4   11   5
       - 238*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

                    7   5   4   9   7            6   6   15   4
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1  *n2 *n3

                  6   6   13   6                6   6   13   4   3
       - 96*a33*m1 *m2 *n1  *n2 *n3 + 210*a33*m1 *m2 *n1  *n2 *n3

                  6   6   11   8                6   6   11   6   3
       + 12*a33*m1 *m2 *n1  *n2 *n3 - 742*a33*m1 *m2 *n1  *n2 *n3

                   6   6   11   4   5             6   6   9   10
       + 896*a33*m1 *m2 *n1  *n2 *n3  + 240*a33*m1 *m2 *n1 *n2  *n3

                   6   6   9   8   3              6   6   9   6   5
       - 532*a33*m1 *m2 *n1 *n2 *n3  - 1456*a33*m1 *m2 *n1 *n2 *n3

                    6   6   9   4   7            6   6   7   12
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2  *n3

                   6   6   7   10   3              6   6   7   8   5
       + 924*a33*m1 *m2 *n1 *n2  *n3  - 1680*a33*m1 *m2 *n1 *n2 *n3

                    6   6   7   6   7            6   6   5   14
       - 1008*a33*m1 *m2 *n1 *n2 *n3  - 96*a33*m1 *m2 *n1 *n2  *n3

                   6   6   5   12   3             6   6   5   10   5
       + 350*a33*m1 *m2 *n1 *n2  *n3  + 896*a33*m1 *m2 *n1 *n2  *n3

                    6   6   5   8   7            6   6   3   16
       - 1344*a33*m1 *m2 *n1 *n2 *n3  + 12*a33*m1 *m2 *n1 *n2  *n3

                   6   6   3   14   3             6   6   3   12   5
       - 154*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   6   6   3   10   7            5   7   14   5
       + 672*a33*m1 *m2 *n1 *n2  *n3  + 30*a33*m1 *m2 *n1  *n2 *n3

                   5   7   12   7                5   7   12   5   3
       - 100*a33*m1 *m2 *n1  *n2 *n3 + 350*a33*m1 *m2 *n1  *n2 *n3

                   5   7   10   9                5   7   10   7   3
       - 110*a33*m1 *m2 *n1  *n2 *n3 - 490*a33*m1 *m2 *n1  *n2 *n3

                    5   7   10   5   5             5   7   8   11
       + 1120*a33*m1 *m2 *n1  *n2 *n3  + 152*a33*m1 *m2 *n1 *n2  *n3

                   5   7   8   9   3             5   7   8   7   5
       - 924*a33*m1 *m2 *n1 *n2 *n3  - 560*a33*m1 *m2 *n1 *n2 *n3

                    5   7   8   5   7            5   7   6   13
       + 1008*a33*m1 *m2 *n1 *n2 *n3  + 86*a33*m1 *m2 *n1 *n2  *n3

                   5   7   6   11   3              5   7   6   9   5
       + 308*a33*m1 *m2 *n1 *n2  *n3  - 1680*a33*m1 *m2 *n1 *n2 *n3

                   5   7   6   7   7            5   7   4   15
       - 336*a33*m1 *m2 *n1 *n2 *n3  - 44*a33*m1 *m2 *n1 *n2  *n3

                   5   7   4   13   3             5   7   4   11   5
       + 338*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

                    5   7   4   9   7           5   7   2   17
       - 1056*a33*m1 *m2 *n1 *n2 *n3  + 2*a33*m1 *m2 *n1 *n2  *n3

                  5   7   2   15   3             5   7   2   13   5
       - 54*a33*m1 *m2 *n1 *n2  *n3  + 160*a33*m1 *m2 *n1 *n2  *n3

                   5   7   2   11   7            4   8   13   6
       + 288*a33*m1 *m2 *n1 *n2  *n3  + 40*a33*m1 *m2 *n1  *n2 *n3

                  4   8   11   8                4   8   11   6   3
       - 40*a33*m1 *m2 *n1  *n2 *n3 + 350*a33*m1 *m2 *n1  *n2 *n3

                   4   8   9   10               4   8   9   8   3
       - 128*a33*m1 *m2 *n1 *n2  *n3 - 42*a33*m1 *m2 *n1 *n2 *n3

                   4   8   9   6   5            4   8   7   12
       + 896*a33*m1 *m2 *n1 *n2 *n3  + 16*a33*m1 *m2 *n1 *n2  *n3

                   4   8   7   10   3             4   8   7   8   5
       - 644*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   4   8   7   6   7            4   8   5   14
       + 672*a33*m1 *m2 *n1 *n2 *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   4   8   5   12   3             4   8   5   10   5
       - 100*a33*m1 *m2 *n1 *n2  *n3  - 864*a33*m1 *m2 *n1 *n2  *n3

                  4   8   5   8   7           4   8   3   16
       + 96*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1 *n2  *n3

                   4   8   3   14   3             4   8   3   12   5
       + 144*a33*m1 *m2 *n1 *n2  *n3  - 136*a33*m1 *m2 *n1 *n2  *n3

                   4   8   3   10   7           4   8      16   3
       - 504*a33*m1 *m2 *n1 *n2  *n3  - 8*a33*m1 *m2 *n1*n2  *n3

                  4   8      14   5            4   8      12   7
       + 56*a33*m1 *m2 *n1*n2  *n3  + 72*a33*m1 *m2 *n1*n2  *n3

                  3   9   12   7               3   9   10   9
       + 30*a33*m1 *m2 *n1  *n2 *n3 + 12*a33*m1 *m2 *n1  *n2 *n3

                   3   9   10   7   3            3   9   8   11
       + 210*a33*m1 *m2 *n1  *n2 *n3  - 54*a33*m1 *m2 *n1 *n2  *n3

                   3   9   8   9   3             3   9   8   7   5
       + 154*a33*m1 *m2 *n1 *n2 *n3  + 448*a33*m1 *m2 *n1 *n2 *n3

                  3   9   6   13                3   9   6   11   3
       - 24*a33*m1 *m2 *n1 *n2  *n3 - 188*a33*m1 *m2 *n1 *n2  *n3

                   3   9   6   9   5             3   9   6   7   7
       + 352*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                  3   9   4   15                3   9   4   13   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 108*a33*m1 *m2 *n1 *n2  *n3

                   3   9   4   11   5             3   9   4   9   7
       - 192*a33*m1 *m2 *n1 *n2  *n3  + 144*a33*m1 *m2 *n1 *n2 *n3

                  3   9   2   15   3            3   9   2   13   5
       + 24*a33*m1 *m2 *n1 *n2  *n3  - 88*a33*m1 *m2 *n1 *n2  *n3

                   3   9   2   11   7           3   9   15   5
       - 136*a33*m1 *m2 *n1 *n2  *n3  + 8*a33*m1 *m2 *n2  *n3

                 3   9   13   7            2   10   11   8
       + 8*a33*m1 *m2 *n2  *n3  + 12*a33*m1 *m2  *n1  *n2 *n3

                  2   10   9   10               2   10   9   8   3
       + 16*a33*m1 *m2  *n1 *n2  *n3 + 70*a33*m1 *m2  *n1 *n2 *n3

                 2   10   7   12               2   10   7   10   3
       - 4*a33*m1 *m2  *n1 *n2  *n3 + 94*a33*m1 *m2  *n1 *n2  *n3

                   2   10   7   8   5           2   10   5   14
       + 128*a33*m1 *m2  *n1 *n2 *n3  - 8*a33*m1 *m2  *n1 *n2  *n3

                   2   10   5   10   5            2   10   5   8   7
       + 152*a33*m1 *m2  *n1 *n2  *n3  + 72*a33*m1 *m2  *n1 *n2 *n3

                  2   10   3   14   3           2   10   3   12   5
       - 24*a33*m1 *m2  *n1 *n2  *n3  + 8*a33*m1 *m2  *n1 *n2  *n3

                  2   10   3   10   7            2   10      14   5
       + 56*a33*m1 *m2  *n1 *n2  *n3  - 16*a33*m1 *m2  *n1*n2  *n3

                  2   10      12   7              11   10   9
       - 16*a33*m1 *m2  *n1*n2  *n3  + 2*a33*m1*m2  *n1  *n2 *n3

                    11   8   11                  11   8   9   3
       + 4*a33*m1*m2  *n1 *n2  *n3 + 10*a33*m1*m2  *n1 *n2 *n3

                    11   6   13                  11   6   11   3
       + 2*a33*m1*m2  *n1 *n2  *n3 + 18*a33*m1*m2  *n1 *n2  *n3

                     11   6   9   5              11   4   13   3
       + 16*a33*m1*m2  *n1 *n2 *n3  + 8*a33*m1*m2  *n1 *n2  *n3

                     11   4   11   5              11   4   9   7
       + 24*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2 *n3

                    11   2   13   5              11   2   11   7
       + 8*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2  *n3 ) + v1*(

        11   14   6   2       11   14   4   4       11   14   2   6
      m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

           11   12   6   4       11   12   4   6       11   12   2   8
       + m1  *n1  *n2 *n3  - 4*m1  *n1  *n2 *n3  + 4*m1  *n1  *n2 *n3

           11   10   10   2       11   10   8   4        11   10   6   6
       - m1  *n1  *n2  *n3  + 6*m1  *n1  *n2 *n3  - 12*m1  *n1  *n2 *n3

             11   10   4   8     11   8   10   4       11   8   8   6
       + 8*m1  *n1  *n2 *n3  + m1  *n1 *n2  *n3  - 4*m1  *n1 *n2 *n3

             11   8   6   8     10      15   7       10      15   5   2
       + 4*m1  *n1 *n2 *n3  + m1  *m2*n1  *n2  - 8*m1  *m2*n1  *n2 *n3

              10      15   3   4       10      15      6     10      13   9
       + 16*m1  *m2*n1  *n2 *n3  - 8*m1  *m2*n1  *n2*n3  + m1  *m2*n1  *n2

             10      13   7   2        10      13   5   4
       + 5*m1  *m2*n1  *n2 *n3  - 40*m1  *m2*n1  *n2 *n3

              10      13   3   6       10      13      8     10      11   11
       + 56*m1  *m2*n1  *n2 *n3  - 8*m1  *m2*n1  *n2*n3  - m1  *m2*n1  *n2

              10      11   9   2        10      11   7   4
       + 13*m1  *m2*n1  *n2 *n3  - 38*m1  *m2*n1  *n2 *n3

              10      11   5   6        10      11   3   8     10      9   13
       + 24*m1  *m2*n1  *n2 *n3  + 16*m1  *m2*n1  *n2 *n3  - m1  *m2*n1 *n2

           10      9   11   2        10      9   9   4        10      9   7   6
       + m1  *m2*n1 *n2  *n3  + 20*m1  *m2*n1 *n2 *n3  - 64*m1  *m2*n1 *n2 *n3

              10      9   5   8     10      7   13   2       10      7   11   4
       + 56*m1  *m2*n1 *n2 *n3  + m1  *m2*n1 *n2  *n3  + 2*m1  *m2*n1 *n2  *n3

              10      7   9   6        10      7   7   8       9   2   16   6
       - 24*m1  *m2*n1 *n2 *n3  + 32*m1  *m2*n1 *n2 *n3  - 4*m1 *m2 *n1  *n2

              9   2   16   4   2        9   2   16   2   4       9   2   16   6
       + 18*m1 *m2 *n1  *n2 *n3  - 20*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3

             9   2   14   8        9   2   14   6   2         9   2   14   4   4
       + 3*m1 *m2 *n1  *n2  - 56*m1 *m2 *n1  *n2 *n3  + 154*m1 *m2 *n1  *n2 *n3

               9   2   14   2   6       9   2   14   8        9   2   12   10
       - 100*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3  + 13*m1 *m2 *n1  *n2

              9   2   12   8   2        9   2   12   6   4
       - 46*m1 *m2 *n1  *n2 *n3  - 52*m1 *m2 *n1  *n2 *n3

               9   2   12   4   6        9   2   12   2   8     9   2   10   12
       + 220*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3  + m1 *m2 *n1  *n2

              9   2   10   10   2         9   2   10   8   4
       + 43*m1 *m2 *n1  *n2  *n3  - 215*m1 *m2 *n1  *n2 *n3

               9   2   10   6   6        9   2   10   4   8       9   2   8   14
       + 260*m1 *m2 *n1  *n2 *n3  - 12*m1 *m2 *n1  *n2 *n3  - 5*m1 *m2 *n1 *n2

              9   2   8   12   2       9   2   8   10   4
       + 20*m1 *m2 *n1 *n2  *n3  + 2*m1 *m2 *n1 *n2  *n3

               9   2   8   8   6         9   2   8   6   8
       - 120*m1 *m2 *n1 *n2 *n3  + 160*m1 *m2 *n1 *n2 *n3

             9   2   6   14   2       9   2   6   12   4
       + 5*m1 *m2 *n1 *n2  *n3  - 9*m1 *m2 *n1 *n2  *n3

              9   2   6   10   6         9   2   6   8   8       8   3   17   5
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2 *n3  + 6*m1 *m2 *n1  *n2

              8   3   17   3   2       8   3   17      4        8   3   15   7
       - 16*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n2*n3  - 22*m1 *m2 *n1  *n2

               8   3   15   5   2         8   3   15   3   4
       + 138*m1 *m2 *n1  *n2 *n3  - 192*m1 *m2 *n1  *n2 *n3

              8   3   15      6        8   3   13   9        8   3   13   7   2
       + 48*m1 *m2 *n1  *n2*n3  - 22*m1 *m2 *n1  *n2  - 70*m1 *m2 *n1  *n2 *n3

               8   3   13   5   4         8   3   13   3   6
       + 504*m1 *m2 *n1  *n2 *n3  - 464*m1 *m2 *n1  *n2 *n3

              8   3   13      8        8   3   11   11
       + 32*m1 *m2 *n1  *n2*n3  + 36*m1 *m2 *n1  *n2

               8   3   11   9   2         8   3   11   7   4
       - 258*m1 *m2 *n1  *n2 *n3  + 304*m1 *m2 *n1  *n2 *n3

               8   3   11   5   6         8   3   11   3   8
       + 304*m1 *m2 *n1  *n2 *n3  - 160*m1 *m2 *n1  *n2 *n3

              8   3   9   13       8   3   9   11   2         8   3   9   9   4
       + 20*m1 *m2 *n1 *n2   + 6*m1 *m2 *n1 *n2  *n3  - 432*m1 *m2 *n1 *n2 *n3

               8   3   9   7   6         8   3   9   5   8        8   3   7   15
       + 816*m1 *m2 *n1 *n2 *n3  - 192*m1 *m2 *n1 *n2 *n3  - 10*m1 *m2 *n1 *n2

              8   3   7   13   2        8   3   7   11   4
       + 50*m1 *m2 *n1 *n2  *n3  - 72*m1 *m2 *n1 *n2  *n3

              8   3   7   9   6         8   3   7   7   8
       - 56*m1 *m2 *n1 *n2 *n3  + 224*m1 *m2 *n1 *n2 *n3

              8   3   5   15   2        8   3   5   13   4
       + 10*m1 *m2 *n1 *n2  *n3  - 40*m1 *m2 *n1 *n2  *n3

              8   3   5   11   6         8   3   5   9   8       7   4   18   4
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2 *n3  - 4*m1 *m2 *n1  *n2

             7   4   18   2   2        7   4   16   6         7   4   16   4   2
       + 5*m1 *m2 *n1  *n2 *n3  + 38*m1 *m2 *n1  *n2  - 128*m1 *m2 *n1  *n2 *n3

              7   4   16   2   4        7   4   14   8
       + 77*m1 *m2 *n1  *n2 *n3  - 22*m1 *m2 *n1  *n2

               7   4   14   6   2         7   4   14   4   4
       + 371*m1 *m2 *n1  *n2 *n3  - 730*m1 *m2 *n1  *n2 *n3

               7   4   14   2   6         7   4   12   10
       + 232*m1 *m2 *n1  *n2 *n3  - 104*m1 *m2 *n1  *n2

               7   4   12   8   2         7   4   12   6   4
       + 246*m1 *m2 *n1  *n2 *n3  + 643*m1 *m2 *n1  *n2 *n3

                7   4   12   4   6         7   4   12   2   8
       - 1112*m1 *m2 *n1  *n2 *n3  + 112*m1 *m2 *n1  *n2 *n3

              7   4   10   12         7   4   10   10   2
       + 20*m1 *m2 *n1  *n2   - 463*m1 *m2 *n1  *n2  *n3

                7   4   10   8   4         7   4   10   6   6
       + 1164*m1 *m2 *n1  *n2 *n3  - 168*m1 *m2 *n1  *n2 *n3

               7   4   10   4   8        7   4   8   14
       - 224*m1 *m2 *n1  *n2 *n3  + 50*m1 *m2 *n1 *n2

               7   4   8   12   2         7   4   8   10   4
       - 160*m1 *m2 *n1 *n2  *n3  - 331*m1 *m2 *n1 *n2  *n3

                7   4   8   8   6         7   4   8   6   8
       + 1288*m1 *m2 *n1 *n2 *n3  - 504*m1 *m2 *n1 *n2 *n3

              7   4   6   16        7   4   6   14   2
       - 10*m1 *m2 *n1 *n2   + 55*m1 *m2 *n1 *n2  *n3

               7   4   6   12   4         7   4   6   10   6
       - 110*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

               7   4   6   8   8        7   4   4   16   2
       + 112*m1 *m2 *n1 *n2 *n3  + 10*m1 *m2 *n1 *n2  *n3

              7   4   4   14   4         7   4   4   10   8     6   5   19   3
       - 65*m1 *m2 *n1 *n2  *n3  + 280*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1  *n2

              6   5   17   5        6   5   17   3   2        6   5   15   7
       - 27*m1 *m2 *n1  *n2  + 41*m1 *m2 *n1  *n2 *n3  + 83*m1 *m2 *n1  *n2

               6   5   15   5   2         6   5   15   3   4
       - 407*m1 *m2 *n1  *n2 *n3  + 310*m1 *m2 *n1  *n2 *n3

              6   5   13   9         6   5   13   7   2
       + 71*m1 *m2 *n1  *n2  + 365*m1 *m2 *n1  *n2 *n3

                6   5   13   5   4         6   5   13   3   6
       - 1444*m1 *m2 *n1  *n2 *n3  + 616*m1 *m2 *n1  *n2 *n3

               6   5   11   11         6   5   11   9   2
       - 155*m1 *m2 *n1  *n2   + 853*m1 *m2 *n1  *n2 *n3

               6   5   11   7   4          6   5   11   5   6
       - 110*m1 *m2 *n1  *n2 *n3  - 1512*m1 *m2 *n1  *n2 *n3

               6   5   11   3   8        6   5   9   13
       + 224*m1 *m2 *n1  *n2 *n3  - 55*m1 *m2 *n1 *n2

               6   5   9   11   2          6   5   9   9   4
       - 279*m1 *m2 *n1 *n2  *n3  + 1720*m1 *m2 *n1 *n2 *n3

                6   5   9   7   6         6   5   9   5   8
       - 1120*m1 *m2 *n1 *n2 *n3  - 112*m1 *m2 *n1 *n2 *n3

              6   5   7   15         6   5   7   13   2
       + 55*m1 *m2 *n1 *n2   - 295*m1 *m2 *n1 *n2  *n3

              6   5   7   11   4          6   5   7   9   6
       + 86*m1 *m2 *n1 *n2  *n3  + 1120*m1 *m2 *n1 *n2 *n3

               6   5   7   7   8       6   5   5   17        6   5   5   15   2
       - 672*m1 *m2 *n1 *n2 *n3  - 5*m1 *m2 *n1 *n2   + 29*m1 *m2 *n1 *n2  *n3

              6   5   5   13   4         6   5   5   11   6
       - 44*m1 *m2 *n1 *n2  *n3  + 168*m1 *m2 *n1 *n2  *n3

               6   5   5   9   8       6   5   3   17   2
       - 112*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2  *n3

              6   5   3   15   4        6   5   3   13   6
       - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               6   5   3   11   8       5   6   18   4        5   6   16   6
       + 224*m1 *m2 *n1 *n2  *n3  + 7*m1 *m2 *n1  *n2  - 71*m1 *m2 *n1  *n2

               5   6   16   4   2        5   6   14   8
       + 140*m1 *m2 *n1  *n2 *n3  + 57*m1 *m2 *n1  *n2

               5   6   14   6   2         5   6   14   4   4
       - 657*m1 *m2 *n1  *n2 *n3  + 691*m1 *m2 *n1  *n2 *n3

               5   6   12   10         5   6   12   8   2
       + 195*m1 *m2 *n1  *n2   - 162*m1 *m2 *n1  *n2 *n3

                5   6   12   6   4          5   6   12   4   6
       - 1566*m1 *m2 *n1  *n2 *n3  + 1008*m1 *m2 *n1  *n2 *n3

              5   6   10   12          5   6   10   10   2
       - 69*m1 *m2 *n1  *n2   + 1037*m1 *m2 *n1  *n2  *n3

                5   6   10   8   4          5   6   10   6   6
       - 1311*m1 *m2 *n1  *n2 *n3  - 1120*m1 *m2 *n1  *n2 *n3

               5   6   10   4   8        5   6   8   14
       + 280*m1 *m2 *n1  *n2 *n3  - 99*m1 *m2 *n1 *n2

               5   6   8   12   2          5   6   8   10   4
       + 160*m1 *m2 *n1 *n2  *n3  + 1220*m1 *m2 *n1 *n2  *n3

                5   6   8   8   6         5   6   8   6   8
       - 1624*m1 *m2 *n1 *n2 *n3  + 112*m1 *m2 *n1 *n2 *n3

              5   6   6   16         5   6   6   14   2
       + 29*m1 *m2 *n1 *n2   - 237*m1 *m2 *n1 *n2  *n3

               5   6   6   12   4         5   6   6   10   6
       + 327*m1 *m2 *n1 *n2  *n3  + 504*m1 *m2 *n1 *n2  *n3

               5   6   6   8   8     5   6   4   18       5   6   4   16   2
       - 504*m1 *m2 *n1 *n2 *n3  - m1 *m2 *n1 *n2   + 6*m1 *m2 *n1 *n2  *n3

              5   6   4   14   4        5   6   4   12   6
       + 30*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   6   4   10   8     5   6   2   18   2
       - 224*m1 *m2 *n1 *n2  *n3  + m1 *m2 *n1 *n2  *n3

              5   6   2   16   4        5   6   2   14   6
       - 23*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   6   2   12   8        4   7   17   5        4   7   15   7
       + 112*m1 *m2 *n1 *n2  *n3  + 20*m1 *m2 *n1  *n2  - 90*m1 *m2 *n1  *n2

               4   7   15   5   2        4   7   13   9
       + 260*m1 *m2 *n1  *n2 *n3  - 50*m1 *m2 *n1  *n2

               4   7   13   7   2         4   7   13   5   4
       - 540*m1 *m2 *n1  *n2 *n3  + 940*m1 *m2 *n1  *n2 *n3

               4   7   11   11         4   7   11   9   2
       + 176*m1 *m2 *n1  *n2   - 692*m1 *m2 *n1  *n2 *n3

               4   7   11   7   4          4   7   11   5   6
       - 800*m1 *m2 *n1  *n2 *n3  + 1064*m1 *m2 *n1  *n2 *n3

              4   7   9   13         4   7   9   11   2
       + 48*m1 *m2 *n1 *n2   + 524*m1 *m2 *n1 *n2  *n3

                4   7   9   9   4         4   7   9   7   6
       - 1636*m1 *m2 *n1 *n2 *n3  - 280*m1 *m2 *n1 *n2 *n3

               4   7   9   5   8        4   7   7   15
       + 224*m1 *m2 *n1 *n2 *n3  - 62*m1 *m2 *n1 *n2

               4   7   7   13   2         4   7   7   11   4
       + 324*m1 *m2 *n1 *n2  *n3  + 288*m1 *m2 *n1 *n2  *n3

                4   7   7   9   6         4   7   7   7   8       4   7   5   17
       - 1200*m1 *m2 *n1 *n2 *n3  + 224*m1 *m2 *n1 *n2 *n3  + 6*m1 *m2 *n1 *n2

              4   7   5   15   2         4   7   5   13   4
       - 92*m1 *m2 *n1 *n2  *n3  + 220*m1 *m2 *n1 *n2  *n3

              4   7   5   11   6         4   7   5   9   8
       + 80*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2 *n3

              4   7   3   15   4        4   7   3   13   6
       + 32*m1 *m2 *n1 *n2  *n3  - 40*m1 *m2 *n1 *n2  *n3

               4   7   3   11   8       4   7      17   4
       - 160*m1 *m2 *n1 *n2  *n3  - 4*m1 *m2 *n1*n2  *n3

              4   7      15   6        4   7      13   8        3   8   16   6
       + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3  + 30*m1 *m2 *n1  *n2

              3   8   14   8         3   8   14   6   2         3   8   12   10
       - 50*m1 *m2 *n1  *n2  + 285*m1 *m2 *n1  *n2 *n3  - 104*m1 *m2 *n1  *n2

               3   8   12   8   2         3   8   12   6   4
       - 146*m1 *m2 *n1  *n2 *n3  + 803*m1 *m2 *n1  *n2 *n3

              3   8   10   12         3   8   10   10   2
       + 48*m1 *m2 *n1  *n2   - 617*m1 *m2 *n1  *n2  *n3

              3   8   10   8   4         3   8   10   6   6
       + 58*m1 *m2 *n1  *n2 *n3  + 728*m1 *m2 *n1  *n2 *n3

              3   8   8   14         3   8   8   10   4
       + 58*m1 *m2 *n1 *n2   - 931*m1 *m2 *n1 *n2  *n3

               3   8   8   8   6         3   8   8   6   8        3   8   6   16
       + 216*m1 *m2 *n1 *n2 *n3  + 112*m1 *m2 *n1 *n2 *n3  - 14*m1 *m2 *n1 *n2

               3   8   6   14   2         3   8   6   12   4
       + 172*m1 *m2 *n1 *n2  *n3  - 136*m1 *m2 *n1 *n2  *n3

               3   8   6   10   6         3   8   6   8   8
       - 476*m1 *m2 *n1 *n2  *n3  + 160*m1 *m2 *n1 *n2 *n3

              3   8   4   16   2        3   8   4   14   4
       - 14*m1 *m2 *n1 *n2  *n3  + 58*m1 *m2 *n1 *n2  *n3

             3   8   4   12   6        3   8   4   10   8
       - 4*m1 *m2 *n1 *n2  *n3  - 12*m1 *m2 *n1 *n2  *n3

             3   8   2   16   4        3   8   2   14   6
       + 8*m1 *m2 *n1 *n2  *n3  - 36*m1 *m2 *n1 *n2  *n3

              3   8   2   12   8       3   8   16   6       3   8   14   8
       - 56*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3  + 4*m1 *m2 *n2  *n3

              2   9   15   7     2   9   13   9         2   9   13   7   2
       + 25*m1 *m2 *n1  *n2  + m1 *m2 *n1  *n2  + 185*m1 *m2 *n1  *n2 *n3

              2   9   11   11        2   9   11   9   2
       - 57*m1 *m2 *n1  *n2   + 97*m1 *m2 *n1  *n2 *n3

               2   9   11   7   4        2   9   9   13
       + 422*m1 *m2 *n1  *n2 *n3  - 17*m1 *m2 *n1 *n2

               2   9   9   11   2         2   9   9   9   4
       - 219*m1 *m2 *n1 *n2  *n3  + 300*m1 *m2 *n1 *n2 *n3

               2   9   9   7   6        2   9   7   15        2   9   7   13   2
       + 312*m1 *m2 *n1 *n2 *n3  + 16*m1 *m2 *n1 *n2   - 99*m1 *m2 *n1 *n2  *n3

               2   9   7   11   4         2   9   7   9   6
       - 222*m1 *m2 *n1 *n2  *n3  + 208*m1 *m2 *n1 *n2 *n3

              2   9   7   7   8        2   9   5   15   2
       + 32*m1 *m2 *n1 *n2 *n3  + 32*m1 *m2 *n1 *n2  *n3

              2   9   5   13   4        2   9   5   11   6
       - 96*m1 *m2 *n1 *n2  *n3  - 88*m1 *m2 *n1 *n2  *n3

              2   9   5   9   8       2   9   3   15   4
       + 56*m1 *m2 *n1 *n2 *n3  + 4*m1 *m2 *n1 *n2  *n3

             2   9   3   13   6        2   9   3   11   8
       + 8*m1 *m2 *n1 *n2  *n3  + 16*m1 *m2 *n1 *n2  *n3

             2   9      15   6       2   9      13   8           10   14   8
       - 8*m1 *m2 *n1*n2  *n3  - 8*m1 *m2 *n1*n2  *n3  + 11*m1*m2  *n1  *n2

                 10   12   10           10   12   8   2          10   10   12
       + 13*m1*m2  *n1  *n2   + 66*m1*m2  *n1  *n2 *n3  - 7*m1*m2  *n1  *n2

                 10   10   10   2            10   10   8   4
       + 83*m1*m2  *n1  *n2  *n3  + 125*m1*m2  *n1  *n2 *n3

                10   8   14           10   8   12   2            10   8   10   4
       - 9*m1*m2  *n1 *n2   - 10*m1*m2  *n1 *n2  *n3  + 146*m1*m2  *n1 *n2  *n3

                 10   8   8   6           10   6   14   2
       + 76*m1*m2  *n1 *n2 *n3  - 27*m1*m2  *n1 *n2  *n3

                10   6   12   4           10   6   10   6
       + 5*m1*m2  *n1 *n2  *n3  + 68*m1*m2  *n1 *n2  *n3

                10   6   8   8           10   4   14   4
       + 4*m1*m2  *n1 *n2 *n3  - 16*m1*m2  *n1 *n2  *n3

                10   4   12   6          10   4   10   8
       - 4*m1*m2  *n1 *n2  *n3  + 8*m1*m2  *n1 *n2  *n3

                10   2   14   6          10   2   12   8       11   13   9
       + 4*m1*m2  *n1 *n2  *n3  + 4*m1*m2  *n1 *n2  *n3  + 2*m2  *n1  *n2

             11   11   11        11   11   9   2       11   9   13
       + 4*m2  *n1  *n2   + 10*m2  *n1  *n2 *n3  + 2*m2  *n1 *n2

              11   9   11   2        11   9   9   4       11   7   13   2
       + 18*m2  *n1 *n2  *n3  + 16*m2  *n1 *n2 *n3  + 8*m2  *n1 *n2  *n3

              11   7   11   4       11   7   9   6       11   5   13   4
       + 24*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2 *n3  + 8*m2  *n1 *n2  *n3

             11   5   11   6      2           12   12   6   2
       + 8*m2  *n1 *n2  *n3 ) + v2 *( - a33*m1  *n1  *n2 *n3

                 12   12   4   4           12   12   2   6
       + 4*a33*m1  *n1  *n2 *n3  - 4*a33*m1  *n1  *n2 *n3

               12   8   10   2           12   8   8   4           12   8   6   6
       + a33*m1  *n1 *n2  *n3  - 4*a33*m1  *n1 *n2 *n3  + 4*a33*m1  *n1 *n2 *n3

               11      13   7           11      13   5   2
       - a33*m1  *m2*n1  *n2  + 8*a33*m1  *m2*n1  *n2 *n3

                  11      13   3   4           11      13      6
       - 16*a33*m1  *m2*n1  *n2 *n3  + 8*a33*m1  *m2*n1  *n2*n3

               11      11   9           11      11   7   2
       - a33*m1  *m2*n1  *n2  - 2*a33*m1  *m2*n1  *n2 *n3

                  11      11   5   4            11      11   3   6
       + 24*a33*m1  *m2*n1  *n2 *n3  - 32*a33*m1  *m2*n1  *n2 *n3

               11      9   11           11      9   9   2
       + a33*m1  *m2*n1 *n2   - 8*a33*m1  *m2*n1 *n2 *n3

                  11      9   7   4           11      9   5   6
       + 16*a33*m1  *m2*n1 *n2 *n3  - 8*a33*m1  *m2*n1 *n2 *n3

               11      7   13           11      7   11   2
       + a33*m1  *m2*n1 *n2   + 2*a33*m1  *m2*n1 *n2  *n3

                  11      7   9   4            11      7   7   6
       - 24*a33*m1  *m2*n1 *n2 *n3  + 32*a33*m1  *m2*n1 *n2 *n3

                 10   2   14   6            10   2   14   4   2
       + 4*a33*m1  *m2 *n1  *n2  - 18*a33*m1  *m2 *n1  *n2 *n3

                  10   2   14   2   4           10   2   14   6
       + 20*a33*m1  *m2 *n1  *n2 *n3  - 4*a33*m1  *m2 *n1  *n3

               10   2   12   8            10   2   12   6   2
       - a33*m1  *m2 *n1  *n2  + 35*a33*m1  *m2 *n1  *n2 *n3

                   10   2   12   4   4            10   2   12   2   6
       - 100*a33*m1  *m2 *n1  *n2 *n3  + 60*a33*m1  *m2 *n1  *n2 *n3

                 10   2   10   10            10   2   10   8   2
       - 9*a33*m1  *m2 *n1  *n2   + 27*a33*m1  *m2 *n1  *n2 *n3

                  10   2   10   6   4             10   2   10   4   6
       + 36*a33*m1  *m2 *n1  *n2 *n3  - 108*a33*m1  *m2 *n1  *n2 *n3

               10   2   8   12            10   2   8   10   2
       + a33*m1  *m2 *n1 *n2   - 35*a33*m1  *m2 *n1 *n2  *n3

                   10   2   8   8   4            10   2   8   6   6
       + 100*a33*m1  *m2 *n1 *n2 *n3  - 60*a33*m1  *m2 *n1 *n2 *n3

                 10   2   6   14           10   2   6   12   2
       + 5*a33*m1  *m2 *n1 *n2   - 9*a33*m1  *m2 *n1 *n2  *n3

                  10   2   6   10   4             10   2   6   8   6
       - 56*a33*m1  *m2 *n1 *n2  *n3  + 112*a33*m1  *m2 *n1 *n2 *n3

                 9   3   15   5            9   3   15   3   2
       - 6*a33*m1 *m2 *n1  *n2  + 16*a33*m1 *m2 *n1  *n2 *n3

                 9   3   15      4            9   3   13   7
       - 8*a33*m1 *m2 *n1  *n2*n3  + 13*a33*m1 *m2 *n1  *n2

                  9   3   13   5   2             9   3   13   3   4
       - 88*a33*m1 *m2 *n1  *n2 *n3  + 120*a33*m1 *m2 *n1  *n2 *n3

                  9   3   13      6            9   3   11   9
       - 24*a33*m1 *m2 *n1  *n2*n3  + 15*a33*m1 *m2 *n1  *n2

                  9   3   11   7   2             9   3   11   5   4
       + 30*a33*m1 *m2 *n1  *n2 *n3  - 248*a33*m1 *m2 *n1  *n2 *n3

                   9   3   11   3   6            9   3   9   11
       + 192*a33*m1 *m2 *n1  *n2 *n3  - 23*a33*m1 *m2 *n1 *n2

                   9   3   9   9   2            9   3   9   7   4
       + 128*a33*m1 *m2 *n1 *n2 *n3  - 64*a33*m1 *m2 *n1 *n2 *n3

                   9   3   9   5   6           9   3   7   13
       - 200*a33*m1 *m2 *n1 *n2 *n3  - 9*a33*m1 *m2 *n1 *n2

                  9   3   7   11   2             9   3   7   9   4
       - 46*a33*m1 *m2 *n1 *n2  *n3  + 256*a33*m1 *m2 *n1 *n2 *n3

                   9   3   7   7   6            9   3   5   15
       - 192*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  9   3   5   13   2            9   3   5   11   4
       - 40*a33*m1 *m2 *n1 *n2  *n3  - 56*a33*m1 *m2 *n1 *n2  *n3

                   9   3   5   9   6           8   4   16   4
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 4*a33*m1 *m2 *n1  *n2

                 8   4   16   2   2            8   4   14   6
       - 5*a33*m1 *m2 *n1  *n2 *n3  - 22*a33*m1 *m2 *n1  *n2

                  8   4   14   4   2            8   4   14   2   4
       + 74*a33*m1 *m2 *n1  *n2 *n3  - 36*a33*m1 *m2 *n1  *n2 *n3

                 8   4   14   6           8   4   12   8
       - 4*a33*m1 *m2 *n1  *n3  + 5*a33*m1 *m2 *n1  *n2

                   8   4   12   6   2             8   4   12   4   4
       - 157*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                  8   4   12   2   6            8   4   10   10
       - 48*a33*m1 *m2 *n1  *n2 *n3  + 47*a33*m1 *m2 *n1  *n2

                  8   4   10   8   2             8   4   10   6   4
       - 85*a33*m1 *m2 *n1  *n2 *n3  - 300*a33*m1 *m2 *n1  *n2 *n3

                   8   4   10   4   6            8   4   8   12
       + 340*a33*m1 *m2 *n1  *n2 *n3  - 19*a33*m1 *m2 *n1 *n2

                   8   4   8   10   2             8   4   8   8   4
       + 227*a33*m1 *m2 *n1 *n2  *n3  - 288*a33*m1 *m2 *n1 *n2 *n3

                   8   4   8   6   6            8   4   6   14
       - 232*a33*m1 *m2 *n1 *n2 *n3  - 25*a33*m1 *m2 *n1 *n2

                  8   4   6   12   2             8   4   6   10   4
       + 11*a33*m1 *m2 *n1 *n2  *n3  + 336*a33*m1 *m2 *n1 *n2  *n3

                   8   4   6   8   6            8   4   4   16
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 10*a33*m1 *m2 *n1 *n2

                  8   4   4   14   2             8   4   4   10   6
       - 65*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2  *n3

               7   5   17   3            7   5   15   5
       - a33*m1 *m2 *n1  *n2  + 13*a33*m1 *m2 *n1  *n2

                  7   5   15   3   2           7   5   15      4
       - 14*a33*m1 *m2 *n1  *n2 *n3  - 8*a33*m1 *m2 *n1  *n2*n3

                  7   5   13   7             7   5   13   5   2
       - 25*a33*m1 *m2 *n1  *n2  + 120*a33*m1 *m2 *n1  *n2 *n3

                  7   5   13   3   4            7   5   13      6
       - 32*a33*m1 *m2 *n1  *n2 *n3  - 32*a33*m1 *m2 *n1  *n2*n3

                  7   5   11   9             7   5   11   7   2
       - 23*a33*m1 *m2 *n1  *n2  - 118*a33*m1 *m2 *n1  *n2 *n3

                   7   5   11   5   4            7   5   9   11
       + 344*a33*m1 *m2 *n1  *n2 *n3  + 51*a33*m1 *m2 *n1 *n2

                   7   5   9   9   2             7   5   9   7   4
       - 200*a33*m1 *m2 *n1 *n2 *n3  - 192*a33*m1 *m2 *n1 *n2 *n3

                   7   5   9   5   6           7   5   7   13
       + 368*a33*m1 *m2 *n1 *n2 *n3  + 5*a33*m1 *m2 *n1 *n2

                   7   5   7   11   2             7   5   7   9   4
       + 186*a33*m1 *m2 *n1 *n2  *n3  - 392*a33*m1 *m2 *n1 *n2 *n3

                   7   5   7   7   6            7   5   5   15
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 25*a33*m1 *m2 *n1 *n2

                  7   5   5   13   2             7   5   5   11   4
       + 80*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

                   7   5   5   9   6           7   5   3   17
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 5*a33*m1 *m2 *n1 *n2

                  7   5   3   15   2            7   5   3   13   4
       - 54*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                   7   5   3   11   6         6   6   16   4
       + 224*a33*m1 *m2 *n1 *n2  *n3  - a33*m1 *m2 *n1  *n2

                 6   6   16   2   2           6   6   14   6
       - 5*a33*m1 *m2 *n1  *n2 *n3  + 9*a33*m1 *m2 *n1  *n2

                  6   6   14   4   2            6   6   14   2   4
       + 17*a33*m1 *m2 *n1  *n2 *n3  - 56*a33*m1 *m2 *n1  *n2 *n3

                 6   6   12   8            6   6   12   6   2
       - 9*a33*m1 *m2 *n1  *n2  + 67*a33*m1 *m2 *n1  *n2 *n3

                   6   6   12   4   4             6   6   12   2   6
       + 112*a33*m1 *m2 *n1  *n2 *n3  - 112*a33*m1 *m2 *n1  *n2 *n3

                  6   6   10   10            6   6   10   8   2
       - 19*a33*m1 *m2 *n1  *n2   - 67*a33*m1 *m2 *n1  *n2 *n3

                   6   6   10   6   4             6   6   10   4   6
       + 224*a33*m1 *m2 *n1  *n2 *n3  + 168*a33*m1 *m2 *n1  *n2 *n3

                  6   6   8   12             6   6   8   10   2
       + 19*a33*m1 *m2 *n1 *n2   - 129*a33*m1 *m2 *n1 *n2  *n3

                   6   6   8   8   4             6   6   8   6   6
       - 168*a33*m1 *m2 *n1 *n2 *n3  + 280*a33*m1 *m2 *n1 *n2 *n3

                 6   6   6   14            6   6   6   12   2
       + 9*a33*m1 *m2 *n1 *n2   + 73*a33*m1 *m2 *n1 *n2  *n3

                   6   6   6   10   4             6   6   6   8   6
       - 224*a33*m1 *m2 *n1 *n2  *n3  - 280*a33*m1 *m2 *n1 *n2 *n3

                 6   6   4   16            6   6   4   14   2
       - 9*a33*m1 *m2 *n1 *n2   + 67*a33*m1 *m2 *n1 *n2  *n3

                  6   6   4   12   4             6   6   4   10   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  - 168*a33*m1 *m2 *n1 *n2  *n3

               6   6   2   18            6   6   2   16   2
       + a33*m1 *m2 *n1 *n2   - 23*a33*m1 *m2 *n1 *n2  *n3

                  6   6   2   14   4             6   6   2   12   6
       + 56*a33*m1 *m2 *n1 *n2  *n3  + 112*a33*m1 *m2 *n1 *n2  *n3

               5   7   17   3           5   7   15   5
       - a33*m1 *m2 *n1  *n2  + 9*a33*m1 *m2 *n1  *n2

                  5   7   15   3   2           5   7   13   7
       - 30*a33*m1 *m2 *n1  *n2 *n3  - 9*a33*m1 *m2 *n1  *n2

                   5   7   13   5   2             5   7   13   3   4
       + 116*a33*m1 *m2 *n1  *n2 *n3  - 168*a33*m1 *m2 *n1  *n2 *n3

                  5   7   11   9            5   7   11   7   2
       - 19*a33*m1 *m2 *n1  *n2  + 10*a33*m1 *m2 *n1  *n2 *n3

                   5   7   11   5   4             5   7   11   3   6
       + 336*a33*m1 *m2 *n1  *n2 *n3  - 224*a33*m1 *m2 *n1  *n2 *n3

                  5   7   9   11             5   7   9   9   2
       + 19*a33*m1 *m2 *n1 *n2   - 164*a33*m1 *m2 *n1 *n2 *n3

                   5   7   9   7   4             5   7   9   5   6
       + 168*a33*m1 *m2 *n1 *n2 *n3  + 336*a33*m1 *m2 *n1 *n2 *n3

                 5   7   7   13            5   7   7   11   2
       + 9*a33*m1 *m2 *n1 *n2   + 10*a33*m1 *m2 *n1 *n2  *n3

                   5   7   7   9   4             5   7   7   7   6
       - 336*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                 5   7   5   15            5   7   5   13   2
       - 9*a33*m1 *m2 *n1 *n2   + 52*a33*m1 *m2 *n1 *n2  *n3

                  5   7   5   11   4             5   7   5   9   6
       - 24*a33*m1 *m2 *n1 *n2  *n3  - 368*a33*m1 *m2 *n1 *n2 *n3

               5   7   3   17            5   7   3   15   2
       + a33*m1 *m2 *n1 *n2   + 10*a33*m1 *m2 *n1 *n2  *n3

                 5   7      17   2            5   7      15   4
       - 4*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  5   7      13   6           4   8   16   4
       + 32*a33*m1 *m2 *n1*n2  *n3  - 5*a33*m1 *m2 *n1  *n2

                  4   8   14   6            4   8   14   4   2
       + 25*a33*m1 *m2 *n1  *n2  - 75*a33*m1 *m2 *n1  *n2 *n3

                 4   8   12   8             4   8   12   6   2
       - 5*a33*m1 *m2 *n1  *n2  + 185*a33*m1 *m2 *n1  *n2 *n3

                   4   8   12   4   4            4   8   10   10
       - 280*a33*m1 *m2 *n1  *n2 *n3  - 51*a33*m1 *m2 *n1  *n2

                  4   8   10   8   2             4   8   10   6   4
       + 81*a33*m1 *m2 *n1  *n2 *n3  + 392*a33*m1 *m2 *n1  *n2 *n3

                   4   8   10   4   6            4   8   8   12
       - 280*a33*m1 *m2 *n1  *n2 *n3  + 23*a33*m1 *m2 *n1 *n2

                   4   8   8   10   2             4   8   8   8   4
       - 263*a33*m1 *m2 *n1 *n2  *n3  + 280*a33*m1 *m2 *n1 *n2 *n3

                   4   8   8   6   6            4   8   6   14
       + 336*a33*m1 *m2 *n1 *n2 *n3  + 25*a33*m1 *m2 *n1 *n2

                 4   8   6   12   2             4   8   6   10   4
       + 5*a33*m1 *m2 *n1 *n2  *n3  - 408*a33*m1 *m2 *n1 *n2  *n3

                   4   8   6   8   6            4   8   4   16
       + 232*a33*m1 *m2 *n1 *n2 *n3  - 13*a33*m1 *m2 *n1 *n2

                  4   8   4   14   2           4   8   4   12   4
       + 78*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1 *n2  *n3

                   4   8   4   10   6         4   8   2   18
       - 340*a33*m1 *m2 *n1 *n2  *n3  + a33*m1 *m2 *n1 *n2

                  4   8   2   16   2            4   8   2   14   4
       - 11*a33*m1 *m2 *n1 *n2  *n3  + 16*a33*m1 *m2 *n1 *n2  *n3

                  4   8   2   12   6           4   8   16   4
       + 48*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n2  *n3

                 4   8   14   6            3   9   15   5
       + 4*a33*m1 *m2 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                  3   9   13   7             3   9   13   5   2
       + 25*a33*m1 *m2 *n1  *n2  - 100*a33*m1 *m2 *n1  *n2 *n3

                  3   9   11   9             3   9   11   7   2
       + 19*a33*m1 *m2 *n1  *n2  + 130*a33*m1 *m2 *n1  *n2 *n3

                   3   9   11   5   4            3   9   9   11
       - 280*a33*m1 *m2 *n1  *n2 *n3  - 47*a33*m1 *m2 *n1 *n2

                   3   9   9   9   2             3   9   9   7   4
       + 164*a33*m1 *m2 *n1 *n2 *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

                   3   9   9   5   6           3   9   7   13
       - 224*a33*m1 *m2 *n1 *n2 *n3  - 5*a33*m1 *m2 *n1 *n2

                   3   9   7   11   2             3   9   7   9   4
       - 182*a33*m1 *m2 *n1 *n2  *n3  + 328*a33*m1 *m2 *n1 *n2 *n3

                   3   9   7   7   6            3   9   5   15
       + 192*a33*m1 *m2 *n1 *n2 *n3  + 22*a33*m1 *m2 *n1 *n2

                  3   9   5   13   2             3   9   5   11   4
       - 60*a33*m1 *m2 *n1 *n2  *n3  - 240*a33*m1 *m2 *n1 *n2  *n3

                   3   9   5   9   6           3   9   3   17
       + 200*a33*m1 *m2 *n1 *n2 *n3  - 4*a33*m1 *m2 *n1 *n2

                  3   9   3   15   2            3   9   3   13   4
       + 52*a33*m1 *m2 *n1 *n2  *n3  - 48*a33*m1 *m2 *n1 *n2  *n3

                   3   9   3   11   6           3   9      17   2
       - 192*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2  *n3

                  3   9      15   4            3   9      13   6
       + 16*a33*m1 *m2 *n1*n2  *n3  + 24*a33*m1 *m2 *n1*n2  *n3

                  2   10   14   6           2   10   12   8
       - 10*a33*m1 *m2  *n1  *n2  + 9*a33*m1 *m2  *n1  *n2

                  2   10   12   6   2            2   10   10   10
       - 75*a33*m1 *m2  *n1  *n2 *n3  + 23*a33*m1 *m2  *n1  *n2

                  2   10   10   8   2             2   10   10   6   4
       + 31*a33*m1 *m2  *n1  *n2 *n3  - 168*a33*m1 *m2  *n1  *n2 *n3

                  2   10   8   12             2   10   8   10   2
       - 15*a33*m1 *m2  *n1 *n2   + 125*a33*m1 *m2  *n1 *n2  *n3

                  2   10   8   8   4             2   10   8   6   6
       + 48*a33*m1 *m2  *n1 *n2 *n3  - 112*a33*m1 *m2  *n1 *n2 *n3

                  2   10   6   14            2   10   6   12   2
       - 13*a33*m1 *m2  *n1 *n2   - 43*a33*m1 *m2  *n1 *n2  *n3

                   2   10   6   10   4            2   10   6   8   6
       + 204*a33*m1 *m2  *n1 *n2  *n3  + 60*a33*m1 *m2  *n1 *n2 *n3

                 2   10   4   16            2   10   4   14   2
       + 6*a33*m1 *m2  *n1 *n2   - 50*a33*m1 *m2  *n1 *n2  *n3

                  2   10   4   12   4             2   10   4   10   6
       - 52*a33*m1 *m2  *n1 *n2  *n3  + 108*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   16   2            2   10   2   14   4
       + 12*a33*m1 *m2  *n1 *n2  *n3  - 36*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   12   6           2   10   16   4
       - 60*a33*m1 *m2  *n1 *n2  *n3  + 4*a33*m1 *m2  *n2  *n3

                 2   10   14   6              11   13   7            11   11   9
       + 4*a33*m1 *m2  *n2  *n3  - 5*a33*m1*m2  *n1  *n2  - a33*m1*m2  *n1  *n2

                     11   11   7   2              11   9   11
       - 30*a33*m1*m2  *n1  *n2 *n3  + 9*a33*m1*m2  *n1 *n2

                    11   9   9   2               11   9   7   4
       - 8*a33*m1*m2  *n1 *n2 *n3  - 56*a33*m1*m2  *n1 *n2 *n3

                  11   7   13               11   7   11   2
       + a33*m1*m2  *n1 *n2   + 42*a33*m1*m2  *n1 *n2  *n3

                    11   7   9   4               11   7   7   6
       - 8*a33*m1*m2  *n1 *n2 *n3  - 32*a33*m1*m2  *n1 *n2 *n3

                    11   5   15              11   5   13   2
       - 4*a33*m1*m2  *n1 *n2   + 8*a33*m1*m2  *n1 *n2  *n3

                     11   5   11   4              11   5   9   6
       + 64*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2 *n3

                     11   3   15   2              11   3   13   4
       - 12*a33*m1*m2  *n1 *n2  *n3  + 8*a33*m1*m2  *n1 *n2  *n3

                     11   3   11   6              11      15   4
       + 32*a33*m1*m2  *n1 *n2  *n3  - 8*a33*m1*m2  *n1*n2  *n3

                    11      13   6         12   12   8         12   10   10
       - 8*a33*m1*m2  *n1*n2  *n3  - a33*m2  *n1  *n2  - a33*m2  *n1  *n2

                 12   10   8   2         12   8   12           12   8   10   2
       - 5*a33*m2  *n1  *n2 *n3  + a33*m2  *n1 *n2   - 4*a33*m2  *n1 *n2  *n3

                 12   8   8   4         12   6   14           12   6   12   2
       - 8*a33*m2  *n1 *n2 *n3  + a33*m2  *n1 *n2   + 5*a33*m2  *n1 *n2  *n3

                 12   6   10   4           12   6   8   6
       - 4*a33*m2  *n1 *n2  *n3  - 4*a33*m2  *n1 *n2 *n3

                 12   4   14   2           12   4   12   4
       + 4*a33*m2  *n1 *n2  *n3  + 8*a33*m2  *n1 *n2  *n3

                 12   2   14   4           12   2   12   6         2
       + 4*a33*m2  *n1 *n2  *n3  + 4*a33*m2  *n1 *n2  *n3 ) + v2*v3 *(

            2   12      10   6   2        2   12      10   4   4
       - a33 *m1  *m2*n1  *n2 *n3  + 4*a33 *m1  *m2*n1  *n2 *n3

              2   12      10   2   6      2   12      8   8   2
       - 4*a33 *m1  *m2*n1  *n2 *n3  - a33 *m1  *m2*n1 *n2 *n3

              2   12      8   6   4        2   12      8   4   6
       + 4*a33 *m1  *m2*n1 *n2 *n3  - 4*a33 *m1  *m2*n1 *n2 *n3

            2   11   2   11   7        2   11   2   11   5   2
       - a33 *m1  *m2 *n1  *n2  + 8*a33 *m1  *m2 *n1  *n2 *n3

               2   11   2   11   3   4        2   11   2   11      6
       - 16*a33 *m1  *m2 *n1  *n2 *n3  + 8*a33 *m1  *m2 *n1  *n2*n3

              2   11   2   9   9        2   11   2   9   7   2
       - 2*a33 *m1  *m2 *n1 *n2  + 6*a33 *m1  *m2 *n1 *n2 *n3

              2   11   2   9   5   4         2   11   2   9   3   6
       + 8*a33 *m1  *m2 *n1 *n2 *n3  - 24*a33 *m1  *m2 *n1 *n2 *n3

            2   11   2   7   11        2   11   2   7   9   2
       - a33 *m1  *m2 *n1 *n2   - 2*a33 *m1  *m2 *n1 *n2 *n3

               2   11   2   7   7   4         2   11   2   7   5   6
       + 24*a33 *m1  *m2 *n1 *n2 *n3  - 32*a33 *m1  *m2 *n1 *n2 *n3

              2   10   3   12   6         2   10   3   12   4   2
       + 4*a33 *m1  *m2 *n1  *n2  - 18*a33 *m1  *m2 *n1  *n2 *n3

               2   10   3   12   2   4        2   10   3   12   6
       + 20*a33 *m1  *m2 *n1  *n2 *n3  - 4*a33 *m1  *m2 *n1  *n3

              2   10   3   10   8         2   10   3   10   6   2
       + 3*a33 *m1  *m2 *n1  *n2  + 17*a33 *m1  *m2 *n1  *n2 *n3

               2   10   3   10   4   4         2   10   3   10   2   6
       - 80*a33 *m1  *m2 *n1  *n2 *n3  + 56*a33 *m1  *m2 *n1  *n2 *n3

              2   10   3   8   10         2   10   3   8   8   2
       - 6*a33 *m1  *m2 *n1 *n2   + 44*a33 *m1  *m2 *n1 *n2 *n3

               2   10   3   8   6   4         2   10   3   8   4   6
       - 44*a33 *m1  *m2 *n1 *n2 *n3  - 52*a33 *m1  *m2 *n1 *n2 *n3

              2   10   3   6   12        2   10   3   6   10   2
       - 5*a33 *m1  *m2 *n1 *n2   + 9*a33 *m1  *m2 *n1 *n2  *n3

               2   10   3   6   8   4          2   10   3   6   6   6
       + 56*a33 *m1  *m2 *n1 *n2 *n3  - 112*a33 *m1  *m2 *n1 *n2 *n3

              2   9   4   13   5         2   9   4   13   3   2
       - 6*a33 *m1 *m2 *n1  *n2  + 16*a33 *m1 *m2 *n1  *n2 *n3

              2   9   4   13      4        2   9   4   11   7
       - 8*a33 *m1 *m2 *n1  *n2*n3  + 7*a33 *m1 *m2 *n1  *n2

               2   9   4   11   5   2          2   9   4   11   3   4
       - 72*a33 *m1 *m2 *n1  *n2 *n3  + 112*a33 *m1 *m2 *n1  *n2 *n3

               2   9   4   11      6         2   9   4   9   9
       - 24*a33 *m1 *m2 *n1  *n2*n3  + 22*a33 *m1 *m2 *n1 *n2

               2   9   4   9   7   2          2   9   4   9   5   4
       - 42*a33 *m1 *m2 *n1 *n2 *n3  - 136*a33 *m1 *m2 *n1 *n2 *n3

                2   9   4   9   3   6      2   9   4   7   11
       + 168*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   9   4   7   9   2          2   9   4   7   7   4
       + 86*a33 *m1 *m2 *n1 *n2 *n3  - 200*a33 *m1 *m2 *n1 *n2 *n3

               2   9   4   7   5   6         2   9   4   5   13
       - 32*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   9   4   5   11   2         2   9   4   5   9   4
       + 40*a33 *m1 *m2 *n1 *n2  *n3  + 56*a33 *m1 *m2 *n1 *n2 *n3

                2   9   4   5   7   6        2   8   5   14   4
       - 224*a33 *m1 *m2 *n1 *n2 *n3  + 4*a33 *m1 *m2 *n1  *n2

              2   8   5   14   2   2         2   8   5   12   6
       - 5*a33 *m1 *m2 *n1  *n2 *n3  - 18*a33 *m1 *m2 *n1  *n2

               2   8   5   12   4   2         2   8   5   12   2   4
       + 69*a33 *m1 *m2 *n1  *n2 *n3  - 36*a33 *m1 *m2 *n1  *n2 *n3

              2   8   5   12   6         2   8   5   10   8
       - 4*a33 *m1 *m2 *n1  *n3  - 13*a33 *m1 *m2 *n1  *n2

               2   8   5   10   6   2          2   8   5   10   4   4
       - 88*a33 *m1 *m2 *n1  *n2 *n3  + 252*a33 *m1 *m2 *n1  *n2 *n3

               2   8   5   10   2   6         2   8   5   8   10
       - 52*a33 *m1 *m2 *n1  *n2 *n3  + 34*a33 *m1 *m2 *n1 *n2

                2   8   5   8   8   2         2   8   5   8   6   4
       - 173*a33 *m1 *m2 *n1 *n2 *n3  - 48*a33 *m1 *m2 *n1 *n2 *n3

                2   8   5   8   4   6         2   8   5   6   12
       + 288*a33 *m1 *m2 *n1 *n2 *n3  + 15*a33 *m1 *m2 *n1 *n2

               2   8   5   6   10   2          2   8   5   6   8   4
       + 54*a33 *m1 *m2 *n1 *n2  *n3  - 336*a33 *m1 *m2 *n1 *n2 *n3

               2   8   5   6   6   6         2   8   5   4   14
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - 10*a33 *m1 *m2 *n1 *n2

               2   8   5   4   12   2          2   8   5   4   8   6
       + 65*a33 *m1 *m2 *n1 *n2  *n3  - 280*a33 *m1 *m2 *n1 *n2 *n3

            2   7   6   15   3         2   7   6   13   5
       - a33 *m1 *m2 *n1  *n2  + 12*a33 *m1 *m2 *n1  *n2

               2   7   6   13   3   2        2   7   6   13      4
       - 14*a33 *m1 *m2 *n1  *n2 *n3  - 8*a33 *m1 *m2 *n1  *n2*n3

               2   7   6   11   7          2   7   6   11   5   2
       - 13*a33 *m1 *m2 *n1  *n2  + 106*a33 *m1 *m2 *n1  *n2 *n3

               2   7   6   11   3   4         2   7   6   11      6
       - 40*a33 *m1 *m2 *n1  *n2 *n3  - 32*a33 *m1 *m2 *n1  *n2*n3

               2   7   6   9   9         2   7   6   9   7   2
       - 36*a33 *m1 *m2 *n1 *n2  - 12*a33 *m1 *m2 *n1 *n2 *n3

                2   7   6   9   5   4         2   7   6   9   3   6
       + 304*a33 *m1 *m2 *n1 *n2 *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

               2   7   6   7   11          2   7   6   7   9   2
       + 15*a33 *m1 *m2 *n1 *n2   - 212*a33 *m1 *m2 *n1 *n2 *n3

                2   7   6   7   7   4          2   7   6   7   5   6
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

               2   7   6   5   13         2   7   6   5   11   2
       + 20*a33 *m1 *m2 *n1 *n2   - 26*a33 *m1 *m2 *n1 *n2  *n3

                2   7   6   5   9   4          2   7   6   5   7   6
       - 280*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

              2   7   6   3   15         2   7   6   3   13   2
       - 5*a33 *m1 *m2 *n1 *n2   + 54*a33 *m1 *m2 *n1 *n2  *n3

               2   7   6   3   11   4          2   7   6   3   9   6
       - 56*a33 *m1 *m2 *n1 *n2  *n3  - 224*a33 *m1 *m2 *n1 *n2 *n3

            2   6   7   14   4        2   6   7   14   2   2
       - a33 *m1 *m2 *n1  *n2  - 5*a33 *m1 *m2 *n1  *n2 *n3

              2   6   7   12   6         2   6   7   12   4   2
       + 8*a33 *m1 *m2 *n1  *n2  + 12*a33 *m1 *m2 *n1  *n2 *n3

               2   6   7   12   2   4      2   6   7   10   8
       - 56*a33 *m1 *m2 *n1  *n2 *n3  - a33 *m1 *m2 *n1  *n2

               2   6   7   10   6   2         2   6   7   10   4   4
       + 79*a33 *m1 *m2 *n1  *n2 *n3  + 56*a33 *m1 *m2 *n1  *n2 *n3

                2   6   7   10   2   6         2   6   7   8   10
       - 112*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   6   7   8   8   2          2   6   7   8   6   4
       + 12*a33 *m1 *m2 *n1 *n2 *n3  + 280*a33 *m1 *m2 *n1 *n2 *n3

               2   6   7   8   4   6      2   6   7   6   12
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

                2   6   7   6   10   2          2   6   7   6   8   4
       - 117*a33 *m1 *m2 *n1 *n2  *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   6   7   6   6   6        2   6   7   4   14
       + 336*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

               2   6   7   4   12   2          2   6   7   4   10   4
       - 44*a33 *m1 *m2 *n1 *n2  *n3  - 112*a33 *m1 *m2 *n1 *n2  *n3

               2   6   7   4   8   6      2   6   7   2   16
       + 56*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   6   7   2   14   2         2   6   7   2   12   4
       + 23*a33 *m1 *m2 *n1 *n2  *n3  - 56*a33 *m1 *m2 *n1 *n2  *n3

                2   6   7   2   10   6      2   5   8   15   3
       - 112*a33 *m1 *m2 *n1 *n2  *n3  - a33 *m1 *m2 *n1  *n2

              2   5   8   13   5         2   5   8   13   3   2
       + 8*a33 *m1 *m2 *n1  *n2  - 30*a33 *m1 *m2 *n1  *n2 *n3

            2   5   8   11   7         2   5   8   11   5   2
       - a33 *m1 *m2 *n1  *n2  + 86*a33 *m1 *m2 *n1  *n2 *n3

                2   5   8   11   3   4         2   5   8   9   9
       - 168*a33 *m1 *m2 *n1  *n2 *n3  - 20*a33 *m1 *m2 *n1 *n2

               2   5   8   9   7   2          2   5   8   9   5   4
       + 96*a33 *m1 *m2 *n1 *n2 *n3  + 168*a33 *m1 *m2 *n1 *n2 *n3

                2   5   8   9   3   6      2   5   8   7   11
       - 224*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   5   8   7   9   2          2   5   8   7   7   4
       - 68*a33 *m1 *m2 *n1 *n2 *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

                2   5   8   7   5   6        2   5   8   5   13
       + 112*a33 *m1 *m2 *n1 *n2 *n3  + 8*a33 *m1 *m2 *n1 *n2

               2   5   8   5   11   2          2   5   8   5   7   6
       - 58*a33 *m1 *m2 *n1 *n2  *n3  + 336*a33 *m1 *m2 *n1 *n2 *n3

            2   5   8   3   15        2   5   8   3   13   2
       - a33 *m1 *m2 *n1 *n2   - 6*a33 *m1 *m2 *n1 *n2  *n3

               2   5   8   3   11   4         2   5   8   3   9   6
       - 24*a33 *m1 *m2 *n1 *n2  *n3  - 32*a33 *m1 *m2 *n1 *n2 *n3

              2   5   8      15   2         2   5   8      13   4
       + 4*a33 *m1 *m2 *n1*n2  *n3  - 24*a33 *m1 *m2 *n1*n2  *n3

               2   5   8      11   6        2   4   9   14   4
       - 32*a33 *m1 *m2 *n1*n2  *n3  - 5*a33 *m1 *m2 *n1  *n2

               2   4   9   12   6         2   4   9   12   4   2
       + 20*a33 *m1 *m2 *n1  *n2  - 75*a33 *m1 *m2 *n1  *n2 *n3

               2   4   9   10   8          2   4   9   10   6   2
       + 15*a33 *m1 *m2 *n1  *n2  + 110*a33 *m1 *m2 *n1  *n2 *n3

                2   4   9   10   4   4         2   4   9   8   10
       - 280*a33 *m1 *m2 *n1  *n2 *n3  - 36*a33 *m1 *m2 *n1 *n2

                2   4   9   8   8   2          2   4   9   8   6   4
       + 191*a33 *m1 *m2 *n1 *n2 *n3  + 112*a33 *m1 *m2 *n1 *n2 *n3

                2   4   9   8   4   6         2   4   9   6   12
       - 280*a33 *m1 *m2 *n1 *n2 *n3  - 13*a33 *m1 *m2 *n1 *n2

               2   4   9   6   10   2          2   4   9   6   8   4
       - 72*a33 *m1 *m2 *n1 *n2  *n3  + 392*a33 *m1 *m2 *n1 *n2 *n3

               2   4   9   6   6   6         2   4   9   4   14
       + 56*a33 *m1 *m2 *n1 *n2 *n3  + 12*a33 *m1 *m2 *n1 *n2

               2   4   9   4   12   2         2   4   9   4   10   4
       - 67*a33 *m1 *m2 *n1 *n2  *n3  - 16*a33 *m1 *m2 *n1 *n2  *n3

                2   4   9   4   8   6      2   4   9   2   16
       + 288*a33 *m1 *m2 *n1 *n2 *n3  - a33 *m1 *m2 *n1 *n2

               2   4   9   2   14   2         2   4   9   2   12   4
       + 11*a33 *m1 *m2 *n1 *n2  *n3  - 20*a33 *m1 *m2 *n1 *n2  *n3

               2   4   9   2   10   6        2   4   9   14   4
       - 52*a33 *m1 *m2 *n1 *n2  *n3  - 4*a33 *m1 *m2 *n2  *n3

              2   4   9   12   6         2   3   10   13   5
       - 4*a33 *m1 *m2 *n2  *n3  - 10*a33 *m1 *m2  *n1  *n2

               2   3   10   11   7          2   3   10   11   5   2
       + 15*a33 *m1 *m2  *n1  *n2  - 100*a33 *m1 *m2  *n1  *n2 *n3

               2   3   10   9   9         2   3   10   9   7   2
       + 34*a33 *m1 *m2  *n1 *n2  + 30*a33 *m1 *m2  *n1 *n2 *n3

                2   3   10   9   5   4         2   3   10   7   11
       - 280*a33 *m1 *m2  *n1 *n2 *n3  - 13*a33 *m1 *m2  *n1 *n2

                2   3   10   7   9   2         2   3   10   7   7   4
       + 194*a33 *m1 *m2  *n1 *n2 *n3  - 56*a33 *m1 *m2  *n1 *n2 *n3

                2   3   10   7   5   6         2   3   10   5   13
       - 224*a33 *m1 *m2  *n1 *n2 *n3  - 18*a33 *m1 *m2  *n1 *n2

               2   3   10   5   11   2          2   3   10   5   9   4
       + 12*a33 *m1 *m2  *n1 *n2  *n3  + 272*a33 *m1 *m2  *n1 *n2 *n3

               2   3   10   5   7   6        2   3   10   3   15
       - 32*a33 *m1 *m2  *n1 *n2 *n3  + 4*a33 *m1 *m2  *n1 *n2

               2   3   10   3   13   2         2   3   10   3   11   4
       - 48*a33 *m1 *m2  *n1 *n2  *n3  + 32*a33 *m1 *m2  *n1 *n2  *n3

                2   3   10   3   9   6        2   3   10      15   2
       + 168*a33 *m1 *m2  *n1 *n2 *n3  + 4*a33 *m1 *m2  *n1*n2  *n3

               2   3   10      13   4         2   3   10      11   6
       - 16*a33 *m1 *m2  *n1*n2  *n3  - 24*a33 *m1 *m2  *n1*n2  *n3

               2   2   11   12   6      2   2   11   10   8
       - 10*a33 *m1 *m2  *n1  *n2  - a33 *m1 *m2  *n1  *n2

               2   2   11   10   6   2         2   2   11   8   10
       - 75*a33 *m1 *m2  *n1  *n2 *n3  + 22*a33 *m1 *m2  *n1 *n2

               2   2   11   8   8   2          2   2   11   8   6   4
       - 44*a33 *m1 *m2  *n1 *n2 *n3  - 168*a33 *m1 *m2  *n1 *n2 *n3

              2   2   11   6   12         2   2   11   6   10   2
       + 7*a33 *m1 *m2  *n1 *n2   + 81*a33 *m1 *m2  *n1 *n2  *n3

                2   2   11   6   8   4          2   2   11   6   6   6
       - 120*a33 *m1 *m2  *n1 *n2 *n3  - 112*a33 *m1 *m2  *n1 *n2 *n3

              2   2   11   4   14         2   2   11   4   12   2
       - 6*a33 *m1 *m2  *n1 *n2   + 38*a33 *m1 *m2  *n1 *n2  *n3

               2   2   11   4   10   4         2   2   11   4   8   6
       + 84*a33 *m1 *m2  *n1 *n2  *n3  - 52*a33 *m1 *m2  *n1 *n2 *n3

               2   2   11   2   14   2         2   2   11   2   12   4
       - 12*a33 *m1 *m2  *n1 *n2  *n3  + 32*a33 *m1 *m2  *n1 *n2  *n3

               2   2   11   2   10   6        2   2   11   14   4
       + 56*a33 *m1 *m2  *n1 *n2  *n3  - 4*a33 *m1 *m2  *n2  *n3

              2   2   11   12   6        2      12   11   7
       - 4*a33 *m1 *m2  *n2  *n3  - 5*a33 *m1*m2  *n1  *n2

              2      12   9   9         2      12   9   7   2
       - 6*a33 *m1*m2  *n1 *n2  - 30*a33 *m1*m2  *n1 *n2 *n3

              2      12   7   11         2      12   7   9   2
       + 3*a33 *m1*m2  *n1 *n2   - 38*a33 *m1*m2  *n1 *n2 *n3

               2      12   7   7   4        2      12   5   13
       - 56*a33 *m1*m2  *n1 *n2 *n3  + 4*a33 *m1*m2  *n1 *n2

              2      12   5   11   2         2      12   5   9   4
       + 4*a33 *m1*m2  *n1 *n2  *n3  - 64*a33 *m1*m2  *n1 *n2 *n3

               2      12   5   7   6         2      12   3   13   2
       - 32*a33 *m1*m2  *n1 *n2 *n3  + 12*a33 *m1*m2  *n1 *n2  *n3

               2      12   3   9   6        2      12      13   4
       - 24*a33 *m1*m2  *n1 *n2 *n3  + 8*a33 *m1*m2  *n1*n2  *n3

              2      12      11   6      2   13   10   8        2   13   8   10
       + 8*a33 *m1*m2  *n1*n2  *n3  - a33 *m2  *n1  *n2  - 2*a33 *m2  *n1 *n2

              2   13   8   8   2      2   13   6   12        2   13   6   10   2
       - 5*a33 *m2  *n1 *n2 *n3  - a33 *m2  *n1 *n2   - 9*a33 *m2  *n1 *n2  *n3

              2   13   6   8   4        2   13   4   12   2
       - 8*a33 *m2  *n1 *n2 *n3  - 4*a33 *m2  *n1 *n2  *n3

               2   13   4   10   4        2   13   4   8   6
       - 12*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2 *n3

              2   13   2   12   4        2   13   2   10   6
       - 4*a33 *m2  *n1 *n2  *n3  - 4*a33 *m2  *n1 *n2  *n3 ) + v2*v3*(

              11      11   6   3           11      11   4   5
      2*a33*m1  *m2*n1  *n2 *n3  - 8*a33*m1  *m2*n1  *n2 *n3

                 11      11   2   7           11      9   8   3
       + 8*a33*m1  *m2*n1  *n2 *n3  + 2*a33*m1  *m2*n1 *n2 *n3

                 11      9   6   5           11      9   4   7
       - 8*a33*m1  *m2*n1 *n2 *n3  + 8*a33*m1  *m2*n1 *n2 *n3

                 10   2   12   7               10   2   12   5   3
       + 2*a33*m1  *m2 *n1  *n2 *n3 - 16*a33*m1  *m2 *n1  *n2 *n3

                  10   2   12   3   5            10   2   12      7
       + 32*a33*m1  *m2 *n1  *n2 *n3  - 16*a33*m1  *m2 *n1  *n2*n3

                 10   2   10   9               10   2   10   7   3
       + 4*a33*m1  *m2 *n1  *n2 *n3 - 10*a33*m1  *m2 *n1  *n2 *n3

                  10   2   10   5   5            10   2   10   3   7
       - 24*a33*m1  *m2 *n1  *n2 *n3  + 56*a33*m1  *m2 *n1  *n2 *n3

                 10   2   8   11              10   2   8   9   3
       + 2*a33*m1  *m2 *n1 *n2  *n3 + 6*a33*m1  *m2 *n1 *n2 *n3

                  10   2   8   7   5            10   2   8   5   7
       - 56*a33*m1  *m2 *n1 *n2 *n3  + 72*a33*m1  *m2 *n1 *n2 *n3

                 9   3   13   6               9   3   13   4   3
       - 8*a33*m1 *m2 *n1  *n2 *n3 + 36*a33*m1 *m2 *n1  *n2 *n3

                  9   3   13   2   5           9   3   13   7
       - 40*a33*m1 *m2 *n1  *n2 *n3  + 8*a33*m1 *m2 *n1  *n3

                 9   3   11   8               9   3   11   6   3
       - 4*a33*m1 *m2 *n1  *n2 *n3 - 52*a33*m1 *m2 *n1  *n2 *n3

                   9   3   11   4   5             9   3   11   2   7
       + 200*a33*m1 *m2 *n1  *n2 *n3  - 136*a33*m1 *m2 *n1  *n2 *n3

                  9   3   9   10                9   3   9   8   3
       + 16*a33*m1 *m2 *n1 *n2  *n3 - 102*a33*m1 *m2 *n1 *n2 *n3

                  9   3   9   6   5             9   3   9   4   7
       + 80*a33*m1 *m2 *n1 *n2 *n3  + 144*a33*m1 *m2 *n1 *n2 *n3

                  9   3   7   12               9   3   7   10   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 14*a33*m1 *m2 *n1 *n2  *n3

                   9   3   7   8   5             9   3   7   6   7
       - 160*a33*m1 *m2 *n1 *n2 *n3  + 288*a33*m1 *m2 *n1 *n2 *n3

                  8   4   14   5               8   4   14   3   3
       + 12*a33*m1 *m2 *n1  *n2 *n3 - 32*a33*m1 *m2 *n1  *n2 *n3

                  8   4   14      5            8   4   12   7
       + 16*a33*m1 *m2 *n1  *n2*n3  - 24*a33*m1 *m2 *n1  *n2 *n3

                   8   4   12   5   3             8   4   12   3   5
       + 196*a33*m1 *m2 *n1  *n2 *n3  - 296*a33*m1 *m2 *n1  *n2 *n3

                  8   4   12      7            8   4   10   9
       + 72*a33*m1 *m2 *n1  *n2*n3  - 54*a33*m1 *m2 *n1  *n2 *n3

                  8   4   10   7   3             8   4   10   5   5
       + 60*a33*m1 *m2 *n1  *n2 *n3  + 456*a33*m1 *m2 *n1  *n2 *n3

                   8   4   10   3   7            8   4   8   11
       - 504*a33*m1 *m2 *n1  *n2 *n3  + 12*a33*m1 *m2 *n1 *n2  *n3

                   8   4   8   9   3             8   4   8   7   5
       - 266*a33*m1 *m2 *n1 *n2 *n3  + 544*a33*m1 *m2 *n1 *n2 *n3

                  8   4   8   5   7            8   4   6   13
       + 96*a33*m1 *m2 *n1 *n2 *n3  + 30*a33*m1 *m2 *n1 *n2  *n3

                  8   4   6   11   3             8   4   6   9   5
       - 98*a33*m1 *m2 *n1 *n2  *n3  - 224*a33*m1 *m2 *n1 *n2 *n3

                   8   4   6   7   7           7   5   15   4
       + 672*a33*m1 *m2 *n1 *n2 *n3  - 8*a33*m1 *m2 *n1  *n2 *n3

                  7   5   15   2   3            7   5   13   6
       + 10*a33*m1 *m2 *n1  *n2 *n3  + 56*a33*m1 *m2 *n1  *n2 *n3

                   7   5   13   4   3             7   5   13   2   5
       - 206*a33*m1 *m2 *n1  *n2 *n3  + 128*a33*m1 *m2 *n1  *n2 *n3

                  7   5   11   8                7   5   11   6   3
       + 16*a33*m1 *m2 *n1  *n2 *n3 + 372*a33*m1 *m2 *n1  *n2 *n3

                   7   5   11   4   5             7   5   11   2   7
       - 928*a33*m1 *m2 *n1  *n2 *n3  + 288*a33*m1 *m2 *n1  *n2 *n3

                   7   5   9   10                7   5   9   8   3
       - 128*a33*m1 *m2 *n1 *n2  *n3 + 532*a33*m1 *m2 *n1 *n2 *n3

                   7   5   9   6   5              7   5   9   4   7
       + 288*a33*m1 *m2 *n1 *n2 *n3  - 1056*a33*m1 *m2 *n1 *n2 *n3

                  7   5   7   12                7   5   7   10   3
       - 40*a33*m1 *m2 *n1 *n2  *n3 - 266*a33*m1 *m2 *n1 *n2  *n3

                    7   5   7   8   5             7   5   7   6   7
       + 1232*a33*m1 *m2 *n1 *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  7   5   5   14                7   5   5   12   3
       + 40*a33*m1 *m2 *n1 *n2  *n3 - 210*a33*m1 *m2 *n1 *n2  *n3

                   7   5   5   10   5              7   5   5   8   7
       - 112*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                 6   6   16   3               6   6   14   5
       + 2*a33*m1 *m2 *n1  *n2 *n3 - 44*a33*m1 *m2 *n1  *n2 *n3

                  6   6   14   3   3            6   6   12   7
       + 70*a33*m1 *m2 *n1  *n2 *n3  + 86*a33*m1 *m2 *n1  *n2 *n3

                   6   6   12   5   3             6   6   12   3   5
       - 546*a33*m1 *m2 *n1  *n2 *n3  + 448*a33*m1 *m2 *n1  *n2 *n3

                   6   6   10   9                6   6   10   7   3
       + 152*a33*m1 *m2 *n1  *n2 *n3 + 140*a33*m1 *m2 *n1  *n2 *n3

                    6   6   10   5   5             6   6   10   3   7
       - 1568*a33*m1 *m2 *n1  *n2 *n3  + 672*a33*m1 *m2 *n1  *n2 *n3

                   6   6   8   11                 6   6   8   9   3
       - 110*a33*m1 *m2 *n1 *n2  *n3 + 1036*a33*m1 *m2 *n1 *n2 *n3

                   6   6   8   7   5              6   6   8   5   7
       - 672*a33*m1 *m2 *n1 *n2 *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                   6   6   6   13               6   6   6   11   3
       - 100*a33*m1 *m2 *n1 *n2  *n3 + 42*a33*m1 *m2 *n1 *n2  *n3

                    6   6   6   9   5              6   6   6   7   7
       + 1456*a33*m1 *m2 *n1 *n2 *n3  - 1008*a33*m1 *m2 *n1 *n2 *n3

                  6   6   4   15                6   6   4   13   3
       + 30*a33*m1 *m2 *n1 *n2  *n3 - 238*a33*m1 *m2 *n1 *n2  *n3

                   6   6   4   11   5              6   6   4   9   7
       + 112*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   7   15   4               5   7   13   6
       + 12*a33*m1 *m2 *n1  *n2 *n3 - 96*a33*m1 *m2 *n1  *n2 *n3

                   5   7   13   4   3            5   7   11   8
       + 210*a33*m1 *m2 *n1  *n2 *n3  + 12*a33*m1 *m2 *n1  *n2 *n3

                   5   7   11   6   3             5   7   11   4   5
       - 742*a33*m1 *m2 *n1  *n2 *n3  + 896*a33*m1 *m2 *n1  *n2 *n3

                   5   7   9   10                5   7   9   8   3
       + 240*a33*m1 *m2 *n1 *n2  *n3 - 532*a33*m1 *m2 *n1 *n2 *n3

                    5   7   9   6   5              5   7   9   4   7
       - 1456*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   7   7   12                5   7   7   10   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 + 924*a33*m1 *m2 *n1 *n2  *n3

                    5   7   7   8   5              5   7   7   6   7
       - 1680*a33*m1 *m2 *n1 *n2 *n3  - 1008*a33*m1 *m2 *n1 *n2 *n3

                  5   7   5   14                5   7   5   12   3
       - 96*a33*m1 *m2 *n1 *n2  *n3 + 350*a33*m1 *m2 *n1 *n2  *n3

                   5   7   5   10   5              5   7   5   8   7
       + 896*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

                  5   7   3   16                5   7   3   14   3
       + 12*a33*m1 *m2 *n1 *n2  *n3 - 154*a33*m1 *m2 *n1 *n2  *n3

                   5   7   3   12   5             5   7   3   10   7
       + 224*a33*m1 *m2 *n1 *n2  *n3  + 672*a33*m1 *m2 *n1 *n2  *n3

                  4   8   14   5                4   8   12   7
       + 30*a33*m1 *m2 *n1  *n2 *n3 - 100*a33*m1 *m2 *n1  *n2 *n3

                   4   8   12   5   3             4   8   10   9
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 110*a33*m1 *m2 *n1  *n2 *n3

                   4   8   10   7   3              4   8   10   5   5
       - 490*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

                   4   8   8   11                4   8   8   9   3
       + 152*a33*m1 *m2 *n1 *n2  *n3 - 924*a33*m1 *m2 *n1 *n2 *n3

                   4   8   8   7   5              4   8   8   5   7
       - 560*a33*m1 *m2 *n1 *n2 *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  4   8   6   13                4   8   6   11   3
       + 86*a33*m1 *m2 *n1 *n2  *n3 + 308*a33*m1 *m2 *n1 *n2  *n3

                    4   8   6   9   5             4   8   6   7   7
       - 1680*a33*m1 *m2 *n1 *n2 *n3  - 336*a33*m1 *m2 *n1 *n2 *n3

                  4   8   4   15                4   8   4   13   3
       - 44*a33*m1 *m2 *n1 *n2  *n3 + 338*a33*m1 *m2 *n1 *n2  *n3

                   4   8   4   11   5              4   8   4   9   7
       + 160*a33*m1 *m2 *n1 *n2  *n3  - 1056*a33*m1 *m2 *n1 *n2 *n3

                 4   8   2   17               4   8   2   15   3
       + 2*a33*m1 *m2 *n1 *n2  *n3 - 54*a33*m1 *m2 *n1 *n2  *n3

                   4   8   2   13   5             4   8   2   11   7
       + 160*a33*m1 *m2 *n1 *n2  *n3  + 288*a33*m1 *m2 *n1 *n2  *n3

                  3   9   13   6               3   9   11   8
       + 40*a33*m1 *m2 *n1  *n2 *n3 - 40*a33*m1 *m2 *n1  *n2 *n3

                   3   9   11   6   3             3   9   9   10
       + 350*a33*m1 *m2 *n1  *n2 *n3  - 128*a33*m1 *m2 *n1 *n2  *n3

                  3   9   9   8   3             3   9   9   6   5
       - 42*a33*m1 *m2 *n1 *n2 *n3  + 896*a33*m1 *m2 *n1 *n2 *n3

                  3   9   7   12                3   9   7   10   3
       + 16*a33*m1 *m2 *n1 *n2  *n3 - 644*a33*m1 *m2 *n1 *n2  *n3

                   3   9   7   8   5             3   9   7   6   7
       + 224*a33*m1 *m2 *n1 *n2 *n3  + 672*a33*m1 *m2 *n1 *n2 *n3

                  3   9   5   14                3   9   5   12   3
       + 56*a33*m1 *m2 *n1 *n2  *n3 - 100*a33*m1 *m2 *n1 *n2  *n3

                   3   9   5   10   5            3   9   5   8   7
       - 864*a33*m1 *m2 *n1 *n2  *n3  + 96*a33*m1 *m2 *n1 *n2 *n3

                 3   9   3   16                3   9   3   14   3
       - 8*a33*m1 *m2 *n1 *n2  *n3 + 144*a33*m1 *m2 *n1 *n2  *n3

                   3   9   3   12   5             3   9   3   10   7
       - 136*a33*m1 *m2 *n1 *n2  *n3  - 504*a33*m1 *m2 *n1 *n2  *n3

                 3   9      16   3            3   9      14   5
       - 8*a33*m1 *m2 *n1*n2  *n3  + 56*a33*m1 *m2 *n1*n2  *n3

                  3   9      12   7            2   10   12   7
       + 72*a33*m1 *m2 *n1*n2  *n3  + 30*a33*m1 *m2  *n1  *n2 *n3

                  2   10   10   9                2   10   10   7   3
       + 12*a33*m1 *m2  *n1  *n2 *n3 + 210*a33*m1 *m2  *n1  *n2 *n3

                  2   10   8   11                2   10   8   9   3
       - 54*a33*m1 *m2  *n1 *n2  *n3 + 154*a33*m1 *m2  *n1 *n2 *n3

                   2   10   8   7   5            2   10   6   13
       + 448*a33*m1 *m2  *n1 *n2 *n3  - 24*a33*m1 *m2  *n1 *n2  *n3

                   2   10   6   11   3             2   10   6   9   5
       - 188*a33*m1 *m2  *n1 *n2  *n3  + 352*a33*m1 *m2  *n1 *n2 *n3

                   2   10   6   7   7            2   10   4   15
       + 288*a33*m1 *m2  *n1 *n2 *n3  + 12*a33*m1 *m2  *n1 *n2  *n3

                   2   10   4   13   3             2   10   4   11   5
       - 108*a33*m1 *m2  *n1 *n2  *n3  - 192*a33*m1 *m2  *n1 *n2  *n3

                   2   10   4   9   7            2   10   2   15   3
       + 144*a33*m1 *m2  *n1 *n2 *n3  + 24*a33*m1 *m2  *n1 *n2  *n3

                  2   10   2   13   5             2   10   2   11   7
       - 88*a33*m1 *m2  *n1 *n2  *n3  - 136*a33*m1 *m2  *n1 *n2  *n3

                 2   10   15   5           2   10   13   7
       + 8*a33*m1 *m2  *n2  *n3  + 8*a33*m1 *m2  *n2  *n3

                     11   11   8                  11   9   10
       + 12*a33*m1*m2  *n1  *n2 *n3 + 16*a33*m1*m2  *n1 *n2  *n3

                     11   9   8   3              11   7   12
       + 70*a33*m1*m2  *n1 *n2 *n3  - 4*a33*m1*m2  *n1 *n2  *n3

                     11   7   10   3                11   7   8   5
       + 94*a33*m1*m2  *n1 *n2  *n3  + 128*a33*m1*m2  *n1 *n2 *n3

                    11   5   14                   11   5   10   5
       - 8*a33*m1*m2  *n1 *n2  *n3 + 152*a33*m1*m2  *n1 *n2  *n3

                     11   5   8   7               11   3   14   3
       + 72*a33*m1*m2  *n1 *n2 *n3  - 24*a33*m1*m2  *n1 *n2  *n3

                    11   3   12   5               11   3   10   7
       + 8*a33*m1*m2  *n1 *n2  *n3  + 56*a33*m1*m2  *n1 *n2  *n3

                     11      14   5               11      12   7
       - 16*a33*m1*m2  *n1*n2  *n3  - 16*a33*m1*m2  *n1*n2  *n3

                 12   10   9              12   8   11
       + 2*a33*m2  *n1  *n2 *n3 + 4*a33*m2  *n1 *n2  *n3

                  12   8   9   3           12   6   13
       + 10*a33*m2  *n1 *n2 *n3  + 2*a33*m2  *n1 *n2  *n3

                  12   6   11   3            12   6   9   5
       + 18*a33*m2  *n1 *n2  *n3  + 16*a33*m2  *n1 *n2 *n3

                 12   4   13   3            12   4   11   5
       + 8*a33*m2  *n1 *n2  *n3  + 24*a33*m2  *n1 *n2  *n3

                 12   4   9   7           12   2   13   5
       + 8*a33*m2  *n1 *n2 *n3  + 8*a33*m2  *n1 *n2  *n3

                 12   2   11   7            11   13   7   2
       + 8*a33*m2  *n1 *n2  *n3 ) + v2*(2*m1  *n1  *n2 *n3

             11   13   5   4       11   13   3   6       11   11   9   2
       - 8*m1  *n1  *n2 *n3  + 8*m1  *n1  *n2 *n3  + 2*m1  *n1  *n2 *n3

             11   11   7   4       11   11   5   6       10      14   8
       - 8*m1  *n1  *n2 *n3  + 8*m1  *n1  *n2 *n3  + 2*m1  *m2*n1  *n2

              10      14   6   2        10      14   4   4
       - 17*m1  *m2*n1  *n2 *n3  + 36*m1  *m2*n1  *n2 *n3

              10      14   2   6       10      12   10        10      12   8   2
       - 20*m1  *m2*n1  *n2 *n3  + 4*m1  *m2*n1  *n2   - 12*m1  *m2*n1  *n2 *n3

              10      12   6   4        10      12   4   6
       - 15*m1  *m2*n1  *n2 *n3  + 44*m1  *m2*n1  *n2 *n3

             10      12   2   8       10      10   12       10      10   10   2
       + 4*m1  *m2*n1  *n2 *n3  + 2*m1  *m2*n1  *n2   + 5*m1  *m2*n1  *n2  *n3

              10      10   8   4        10      10   6   6
       - 50*m1  *m2*n1  *n2 *n3  + 60*m1  *m2*n1  *n2 *n3

             10      10   4   8     10      8   10   4       10      8   8   6
       + 8*m1  *m2*n1  *n2 *n3  + m1  *m2*n1 *n2  *n3  - 4*m1  *m2*n1 *n2 *n3

             10      8   6   8       9   2   15   7        9   2   15   5   2
       + 4*m1  *m2*n1 *n2 *n3  - 9*m1 *m2 *n1  *n2  + 44*m1 *m2 *n1  *n2 *n3

              9   2   15   3   4        9   2   15      6       9   2   13   9
       - 56*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2*n3  - 7*m1 *m2 *n1  *n2

              9   2   13   7   2         9   2   13   5   4
       - 37*m1 *m2 *n1  *n2 *n3  + 184*m1 *m2 *n1  *n2 *n3

               9   2   13   3   6       9   2   13      8        9   2   11   11
       - 136*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3  + 13*m1 *m2 *n1  *n2

              9   2   11   9   2        9   2   11   7   4
       - 95*m1 *m2 *n1  *n2 *n3  + 98*m1 *m2 *n1  *n2 *n3

              9   2   11   5   6        9   2   11   3   8        9   2   9   13
       + 96*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2 *n3  + 11*m1 *m2 *n1 *n2

              9   2   9   11   2         9   2   9   9   4
       - 13*m1 *m2 *n1 *n2  *n3  - 140*m1 *m2 *n1 *n2 *n3

               9   2   9   7   6        9   2   9   5   8     9   2   7   13   2
       + 224*m1 *m2 *n1 *n2 *n3  + 56*m1 *m2 *n1 *n2 *n3  + m1 *m2 *n1 *n2  *n3

             9   2   7   11   4        9   2   7   9   6
       + 2*m1 *m2 *n1 *n2  *n3  - 24*m1 *m2 *n1 *n2 *n3

              9   2   7   7   8        8   3   16   6        8   3   16   4   2
       + 32*m1 *m2 *n1 *n2 *n3  + 16*m1 *m2 *n1  *n2  - 50*m1 *m2 *n1  *n2 *n3

              8   3   16   2   4       8   3   16   6        8   3   14   8
       + 36*m1 *m2 *n1  *n2 *n3  - 4*m1 *m2 *n1  *n3  - 17*m1 *m2 *n1  *n2

               8   3   14   6   2         8   3   14   4   4
       + 192*m1 *m2 *n1  *n2 *n3  - 342*m1 *m2 *n1  *n2 *n3

               8   3   14   2   6       8   3   14   8        8   3   12   10
       + 108*m1 *m2 *n1  *n2 *n3  + 4*m1 *m2 *n1  *n3  - 57*m1 *m2 *n1  *n2

               8   3   12   8   2         8   3   12   6   4
       + 116*m1 *m2 *n1  *n2 *n3  + 324*m1 *m2 *n1  *n2 *n3

               8   3   12   4   6        8   3   12   2   8     8   3   10   12
       - 428*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3  + m1 *m2 *n1  *n2

               8   3   10   10   2         8   3   10   8   4
       - 209*m1 *m2 *n1  *n2  *n3  + 489*m1 *m2 *n1  *n2 *n3

              8   3   10   6   6        8   3   10   4   8        8   3   8   14
       + 68*m1 *m2 *n1  *n2 *n3  - 12*m1 *m2 *n1  *n2 *n3  + 25*m1 *m2 *n1 *n2

              8   3   8   12   2         8   3   8   10   4
       - 78*m1 *m2 *n1 *n2  *n3  - 222*m1 *m2 *n1 *n2  *n3

               8   3   8   8   6         8   3   8   6   8
       + 552*m1 *m2 *n1 *n2 *n3  + 160*m1 *m2 *n1 *n2 *n3

             8   3   6   14   2       8   3   6   12   4
       + 5*m1 *m2 *n1 *n2  *n3  - 9*m1 *m2 *n1 *n2  *n3

              8   3   6   10   6         8   3   6   8   8        7   4   17   5
       - 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2 *n3  - 14*m1 *m2 *n1  *n2

              7   4   17   3   2       7   4   17      4        7   4   15   7
       + 26*m1 *m2 *n1  *n2 *n3  - 8*m1 *m2 *n1  *n2*n3  + 58*m1 *m2 *n1  *n2

               7   4   15   5   2         7   4   15   3   4
       - 264*m1 *m2 *n1  *n2 *n3  + 232*m1 *m2 *n1  *n2 *n3

              7   4   15      6        7   4   13   9         7   4   13   7   2
       - 24*m1 *m2 *n1  *n2*n3  + 48*m1 *m2 *n1  *n2  + 242*m1 *m2 *n1  *n2 *n3

               7   4   13   5   4         7   4   13   3   6
       - 880*m1 *m2 *n1  *n2 *n3  + 328*m1 *m2 *n1  *n2 *n3

              7   4   13      8         7   4   11   11
       + 32*m1 *m2 *n1  *n2*n3  - 104*m1 *m2 *n1  *n2

               7   4   11   9   2        7   4   11   7   4
       + 540*m1 *m2 *n1  *n2 *n3  + 48*m1 *m2 *n1  *n2 *n3

               7   4   11   5   6         7   4   11   3   8
       - 848*m1 *m2 *n1  *n2 *n3  - 160*m1 *m2 *n1  *n2 *n3

              7   4   9   13         7   4   9   11   2
       - 50*m1 *m2 *n1 *n2   - 162*m1 *m2 *n1 *n2  *n3

                7   4   9   9   4         7   4   9   7   6
       + 1024*m1 *m2 *n1 *n2 *n3  - 192*m1 *m2 *n1 *n2 *n3

               7   4   9   5   8        7   4   7   15
       - 192*m1 *m2 *n1 *n2 *n3  + 30*m1 *m2 *n1 *n2

               7   4   7   13   2         7   4   7   11   4
       - 160*m1 *m2 *n1 *n2  *n3  - 184*m1 *m2 *n1 *n2  *n3

               7   4   7   9   6         7   4   7   7   8
       + 952*m1 *m2 *n1 *n2 *n3  + 224*m1 *m2 *n1 *n2 *n3

              7   4   5   15   2        7   4   5   13   4
       + 10*m1 *m2 *n1 *n2  *n3  - 40*m1 *m2 *n1 *n2  *n3

              7   4   5   11   6         7   4   5   9   8       6   5   18   4
       - 56*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2 *n3  + 6*m1 *m2 *n1  *n2

             6   5   18   2   2        6   5   16   6         6   5   16   4   2
       - 5*m1 *m2 *n1  *n2 *n3  - 62*m1 *m2 *n1  *n2  + 148*m1 *m2 *n1  *n2 *n3

              6   5   16   2   4        6   5   14   8
       - 51*m1 *m2 *n1  *n2 *n3  + 48*m1 *m2 *n1  *n2

               6   5   14   6   2         6   5   14   4   4
       - 547*m1 *m2 *n1  *n2 *n3  + 646*m1 *m2 *n1  *n2 *n3

              6   5   14   2   6         6   5   12   10
       - 56*m1 *m2 *n1  *n2 *n3  + 176*m1 *m2 *n1  *n2

               6   5   12   8   2          6   5   12   6   4
       - 146*m1 *m2 *n1  *n2 *n3  - 1213*m1 *m2 *n1  *n2 *n3

               6   5   12   4   6         6   5   12   2   8
       + 616*m1 *m2 *n1  *n2 *n3  + 112*m1 *m2 *n1  *n2 *n3

              6   5   10   12         6   5   10   10   2
       - 50*m1 *m2 *n1  *n2   + 839*m1 *m2 *n1  *n2  *n3

               6   5   10   8   4          6   5   10   6   6
       - 740*m1 *m2 *n1  *n2 *n3  - 1176*m1 *m2 *n1  *n2 *n3

               6   5   10   4   8        6   5   8   14
       - 224*m1 *m2 *n1  *n2 *n3  - 90*m1 *m2 *n1 *n2

              6   5   8   12   2          6   5   8   10   4
       + 92*m1 *m2 *n1 *n2  *n3  + 1237*m1 *m2 *n1 *n2  *n3

               6   5   8   8   6         6   5   8   6   8        6   5   6   16
       - 728*m1 *m2 *n1 *n2 *n3  - 504*m1 *m2 *n1 *n2 *n3  + 20*m1 *m2 *n1 *n2

               6   5   6   14   2       6   5   6   12   4
       - 183*m1 *m2 *n1 *n2  *n3  + 2*m1 *m2 *n1 *n2  *n3

                6   5   6   10   6         6   5   6   8   8
       + 1120*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2 *n3

              6   5   4   16   2        6   5   4   14   4
       + 10*m1 *m2 *n1 *n2  *n3  - 65*m1 *m2 *n1 *n2  *n3

               6   5   4   10   8     5   6   19   3        5   6   17   5
       + 280*m1 *m2 *n1 *n2  *n3  - m1 *m2 *n1  *n2  + 29*m1 *m2 *n1  *n2

              5   6   17   3   2        5   6   15   7
       - 29*m1 *m2 *n1  *n2 *n3  - 99*m1 *m2 *n1  *n2

               5   6   15   5   2         5   6   15   3   4
       + 349*m1 *m2 *n1  *n2 *n3  - 138*m1 *m2 *n1  *n2 *n3

              5   6   13   9         5   6   13   7   2
       - 69*m1 *m2 *n1  *n2  - 517*m1 *m2 *n1  *n2 *n3

                5   6   13   5   4        5   6   13   3   6
       + 1020*m1 *m2 *n1  *n2 *n3  - 56*m1 *m2 *n1  *n2 *n3

               5   6   11   11         5   6   11   9   2
       + 195*m1 *m2 *n1  *n2   - 715*m1 *m2 *n1  *n2 *n3

               5   6   11   7   4         5   6   11   5   6
       - 894*m1 *m2 *n1  *n2 *n3  + 840*m1 *m2 *n1  *n2 *n3

               5   6   11   3   8        5   6   9   13
       + 224*m1 *m2 *n1  *n2 *n3  + 57*m1 *m2 *n1 *n2

               5   6   9   11   2          5   6   9   9   4
       + 603*m1 *m2 *n1 *n2  *n3  - 1416*m1 *m2 *n1 *n2 *n3

                5   6   9   7   6         5   6   9   5   8
       - 1120*m1 *m2 *n1 *n2 *n3  - 112*m1 *m2 *n1 *n2 *n3

              5   6   7   15         5   6   7   13   2
       - 71*m1 *m2 *n1 *n2   + 293*m1 *m2 *n1 *n2  *n3

               5   6   7   11   4          5   6   7   9   6
       + 870*m1 *m2 *n1 *n2  *n3  - 1232*m1 *m2 *n1 *n2 *n3

               5   6   7   7   8       5   6   5   17         5   6   5   15   2
       - 672*m1 *m2 *n1 *n2 *n3  + 7*m1 *m2 *n1 *n2   - 125*m1 *m2 *n1 *n2  *n3

               5   6   5   13   4         5   6   5   11   6
       + 180*m1 *m2 *n1 *n2  *n3  + 840*m1 *m2 *n1 *n2  *n3

               5   6   5   9   8       5   6   3   17   2
       - 112*m1 *m2 *n1 *n2 *n3  + 5*m1 *m2 *n1 *n2  *n3

              5   6   3   15   4        5   6   3   13   6
       - 54*m1 *m2 *n1 *n2  *n3  + 56*m1 *m2 *n1 *n2  *n3

               5   6   3   11   8       4   7   18   4        4   7   16   6
       + 224*m1 *m2 *n1 *n2  *n3  - 5*m1 *m2 *n1  *n2  + 55*m1 *m2 *n1  *n2

              4   7   16   4   2        4   7   14   8
       - 70*m1 *m2 *n1  *n2 *n3  - 55*m1 *m2 *n1  *n2

               4   7   14   6   2         4   7   14   4   4
       + 435*m1 *m2 *n1  *n2 *n3  - 205*m1 *m2 *n1  *n2 *n3

               4   7   12   10         4   7   12   8   2
       - 155*m1 *m2 *n1  *n2   - 120*m1 *m2 *n1  *n2 *n3

                4   7   12   6   4        4   7   10   12
       + 1010*m1 *m2 *n1  *n2 *n3  + 71*m1 *m2 *n1  *n2

               4   7   10   10   2         4   7   10   8   4
       - 811*m1 *m2 *n1  *n2  *n3  - 191*m1 *m2 *n1  *n2 *n3

               4   7   10   6   6         4   7   10   4   8
       + 896*m1 *m2 *n1  *n2 *n3  + 280*m1 *m2 *n1  *n2 *n3

              4   7   8   14         4   7   8   12   2
       + 83*m1 *m2 *n1 *n2   + 118*m1 *m2 *n1 *n2  *n3

                4   7   8   10   4         4   7   8   8   6
       - 1356*m1 *m2 *n1 *n2  *n3  - 616*m1 *m2 *n1 *n2 *n3

               4   7   8   6   8        4   7   6   16
       + 112*m1 *m2 *n1 *n2 *n3  - 27*m1 *m2 *n1 *n2

               4   7   6   14   2         4   7   6   12   4
       + 255*m1 *m2 *n1 *n2  *n3  + 263*m1 *m2 *n1 *n2  *n3

                4   7   6   10   6         4   7   6   8   8     4   7   4   18
       - 1224*m1 *m2 *n1 *n2  *n3  - 504*m1 *m2 *n1 *n2 *n3  + m1 *m2 *n1 *n2

              4   7   4   16   2         4   7   4   14   4
       - 48*m1 *m2 *n1 *n2  *n3  + 190*m1 *m2 *n1 *n2  *n3

               4   7   4   12   6         4   7   4   10   8
       + 344*m1 *m2 *n1 *n2  *n3  - 224*m1 *m2 *n1 *n2  *n3

           4   7   2   18   2        4   7   2   16   4
       + m1 *m2 *n1 *n2  *n3  - 23*m1 *m2 *n1 *n2  *n3

              4   7   2   14   6         4   7   2   12   8
       + 56*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

              3   8   17   5        3   8   15   7        3   8   15   5   2
       - 10*m1 *m2 *n1  *n2  + 50*m1 *m2 *n1  *n2  - 90*m1 *m2 *n1  *n2 *n3

              3   8   13   9         3   8   13   7   2
       + 20*m1 *m2 *n1  *n2  + 300*m1 *m2 *n1  *n2 *n3

               3   8   13   5   4         3   8   11   11
       - 180*m1 *m2 *n1  *n2 *n3  - 104*m1 *m2 *n1  *n2

               3   8   11   9   2         3   8   11   7   4
       + 190*m1 *m2 *n1  *n2 *n3  + 656*m1 *m2 *n1  *n2 *n3

              3   8   11   5   6        3   8   9   13
       + 56*m1 *m2 *n1  *n2 *n3  - 22*m1 *m2 *n1 *n2

               3   8   9   11   2         3   8   9   9   4
       - 428*m1 *m2 *n1 *n2  *n3  + 268*m1 *m2 *n1 *n2 *n3

               3   8   9   7   6         3   8   9   5   8        3   8   7   15
       + 728*m1 *m2 *n1 *n2 *n3  + 224*m1 *m2 *n1 *n2 *n3  + 38*m1 *m2 *n1 *n2

               3   8   7   13   2         3   8   7   11   4
       - 114*m1 *m2 *n1 *n2  *n3  - 736*m1 *m2 *n1 *n2  *n3

              3   8   7   9   6         3   8   7   7   8       3   8   5   17
       - 48*m1 *m2 *n1 *n2 *n3  + 224*m1 *m2 *n1 *n2 *n3  - 4*m1 *m2 *n1 *n2

               3   8   5   15   2        3   8   5   13   4
       + 106*m1 *m2 *n1 *n2  *n3  - 76*m1 *m2 *n1 *n2  *n3

               3   8   5   11   6         3   8   5   9   8
       - 712*m1 *m2 *n1 *n2  *n3  - 192*m1 *m2 *n1 *n2 *n3

             3   8   3   17   2        3   8   3   15   4
       - 8*m1 *m2 *n1 *n2  *n3  + 88*m1 *m2 *n1 *n2  *n3

              3   8   3   13   6         3   8   3   11   8
       + 32*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2  *n3

             3   8      17   4        3   8      15   6        3   8      13   8
       - 4*m1 *m2 *n1*n2  *n3  + 24*m1 *m2 *n1*n2  *n3  + 32*m1 *m2 *n1*n2  *n3

              2   9   16   6        2   9   14   8        2   9   14   6   2
       - 10*m1 *m2 *n1  *n2  + 20*m1 *m2 *n1  *n2  - 65*m1 *m2 *n1  *n2 *n3

              2   9   12   10         2   9   12   8   2
       + 36*m1 *m2 *n1  *n2   + 106*m1 *m2 *n1  *n2 *n3

              2   9   12   6   4        2   9   10   12
       - 93*m1 *m2 *n1  *n2 *n3  - 22*m1 *m2 *n1  *n2

               2   9   10   10   2         2   9   10   8   4
       + 181*m1 *m2 *n1  *n2  *n3  + 282*m1 *m2 *n1  *n2 *n3

              2   9   10   6   6        2   9   8   14        2   9   8   12   2
       + 56*m1 *m2 *n1  *n2 *n3  - 22*m1 *m2 *n1 *n2   - 88*m1 *m2 *n1 *n2  *n3

               2   9   8   10   4         2   9   8   8   6
       + 285*m1 *m2 *n1 *n2  *n3  + 408*m1 *m2 *n1 *n2 *n3

               2   9   8   6   8       2   9   6   16        2   9   6   14   2
       + 112*m1 *m2 *n1 *n2 *n3  + 6*m1 *m2 *n1 *n2   - 80*m1 *m2 *n1 *n2  *n3

               2   9   6   12   4         2   9   6   10   6
       - 192*m1 *m2 *n1 *n2  *n3  + 172*m1 *m2 *n1 *n2  *n3

               2   9   6   8   8        2   9   4   16   2
       + 160*m1 *m2 *n1 *n2 *n3  + 18*m1 *m2 *n1 *n2  *n3

              2   9   4   14   4         2   9   4   12   6
       - 86*m1 *m2 *n1 *n2  *n3  - 212*m1 *m2 *n1 *n2  *n3

              2   9   4   10   8        2   9   2   16   4
       - 12*m1 *m2 *n1 *n2  *n3  + 16*m1 *m2 *n1 *n2  *n3

              2   9   2   14   6        2   9   2   12   8       2   9   16   6
       - 28*m1 *m2 *n1 *n2  *n3  - 56*m1 *m2 *n1 *n2  *n3  + 4*m1 *m2 *n2  *n3

             2   9   14   8          10   15   7        10   13   9
       + 4*m1 *m2 *n2  *n3  - 5*m1*m2  *n1  *n2  + m1*m2  *n1  *n2

                 10   13   7   2           10   11   11
       - 25*m1*m2  *n1  *n2 *n3  + 13*m1*m2  *n1  *n2

                 10   11   9   2           10   11   7   4          10   9   13
       + 13*m1*m2  *n1  *n2 *n3  - 26*m1*m2  *n1  *n2 *n3  + 3*m1*m2  *n1 *n2

                 10   9   11   2           10   9   9   4
       + 63*m1*m2  *n1 *n2  *n3  + 76*m1*m2  *n1 *n2 *n3

                 10   9   7   6          10   7   15          10   7   13   2
       + 24*m1*m2  *n1 *n2 *n3  - 4*m1*m2  *n1 *n2   + 9*m1*m2  *n1 *n2  *n3

                  10   7   11   4            10   7   9   6
       + 122*m1*m2  *n1 *n2  *n3  + 136*m1*m2  *n1 *n2 *n3

                 10   7   7   8           10   5   15   2
       + 32*m1*m2  *n1 *n2 *n3  - 16*m1*m2  *n1 *n2  *n3

                  10   5   11   6           10   5   9   8
       + 104*m1*m2  *n1 *n2  *n3  + 56*m1*m2  *n1 *n2 *n3

                 10   3   15   4           10   3   13   6
       - 20*m1*m2  *n1 *n2  *n3  - 16*m1*m2  *n1 *n2  *n3

                 10   3   11   8          10      15   6          10      13   8
       + 16*m1*m2  *n1 *n2  *n3  - 8*m1*m2  *n1*n2  *n3  - 8*m1*m2  *n1*n2  *n3

           11   14   8     11   12   10       11   12   8   2     11   10   12
       - m2  *n1  *n2  - m2  *n1  *n2   - 4*m2  *n1  *n2 *n3  + m2  *n1  *n2

           11   10   10   2       11   10   8   4     11   8   14
       - m2  *n1  *n2  *n3  - 3*m2  *n1  *n2 *n3  + m2  *n1 *n2

             11   8   12   2        11   8   10   4       11   8   8   6
       + 8*m2  *n1 *n2  *n3  + 10*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2 *n3

             11   6   14   2        11   6   12   4        11   6   10   6
       + 5*m2  *n1 *n2  *n3  + 21*m2  *n1 *n2  *n3  + 20*m2  *n1 *n2  *n3

             11   6   8   8       11   4   14   4        11   4   12   6
       + 4*m2  *n1 *n2 *n3  + 8*m2  *n1 *n2  *n3  + 20*m2  *n1 *n2  *n3

             11   4   10   8       11   2   14   6       11   2   12   8      2
       + 8*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3  + 4*m2  *n1 *n2  *n3 ) + v3 *

               12   12   6   2           12   12   4   4
   ( - 2*a33*m1  *n1  *n2 *n3  + 8*a33*m1  *n1  *n2 *n3

               12   12   2   6         12   10   8   2           12   10   6   4
     - 8*a33*m1  *n1  *n2 *n3  - a33*m1  *n1  *n2 *n3  + 4*a33*m1  *n1  *n2 *n3

               12   10   4   6         12   8   10   2           12   8   8   4
     - 4*a33*m1  *n1  *n2 *n3  + a33*m1  *n1 *n2  *n3  - 4*a33*m1  *n1 *n2 *n3

               12   8   6   6           11      13   7
     + 4*a33*m1  *n1 *n2 *n3  - 2*a33*m1  *m2*n1  *n2

                11      13   5   2            11      13   3   4
     + 16*a33*m1  *m2*n1  *n2 *n3  - 32*a33*m1  *m2*n1  *n2 *n3

                11      13      6           11      11   9
     + 16*a33*m1  *m2*n1  *n2*n3  - 3*a33*m1  *m2*n1  *n2

               11      11   7   2            11      11   5   4
     + 2*a33*m1  *m2*n1  *n2 *n3  + 40*a33*m1  *m2*n1  *n2 *n3

                11      11   3   6            11      9   9   2
     - 64*a33*m1  *m2*n1  *n2 *n3  - 12*a33*m1  *m2*n1 *n2 *n3

                11      9   7   4            11      9   5   6
     + 48*a33*m1  *m2*n1 *n2 *n3  - 48*a33*m1  *m2*n1 *n2 *n3

             11      7   13           11      7   11   2
     + a33*m1  *m2*n1 *n2   + 2*a33*m1  *m2*n1 *n2  *n3

                11      7   9   4            11      7   7   6
     - 24*a33*m1  *m2*n1 *n2 *n3  + 32*a33*m1  *m2*n1 *n2 *n3

               10   2   14   6            10   2   14   4   2
     + 8*a33*m1  *m2 *n1  *n2  - 36*a33*m1  *m2 *n1  *n2 *n3

                10   2   14   2   4           10   2   14   6
     + 40*a33*m1  *m2 *n1  *n2 *n3  - 8*a33*m1  *m2 *n1  *n3

                10   2   12   6   2             10   2   12   4   4
     + 69*a33*m1  *m2 *n1  *n2 *n3  - 216*a33*m1  *m2 *n1  *n2 *n3

                 10   2   12   2   6            10   2   10   10
     + 136*a33*m1  *m2 *n1  *n2 *n3  - 19*a33*m1  *m2 *n1  *n2

                10   2   10   8   2           10   2   10   6   4
     + 83*a33*m1  *m2 *n1  *n2 *n3  + 8*a33*m1  *m2 *n1  *n2 *n3

                 10   2   10   4   6           10   2   8   12
     - 208*a33*m1  *m2 *n1  *n2 *n3  - 6*a33*m1  *m2 *n1 *n2

                10   2   8   10   2             10   2   8   8   4
     - 31*a33*m1  *m2 *n1 *n2  *n3  + 208*a33*m1  *m2 *n1 *n2 *n3

                 10   2   8   6   6           10   2   6   14
     - 240*a33*m1  *m2 *n1 *n2 *n3  + 5*a33*m1  *m2 *n1 *n2

               10   2   6   12   2            10   2   6   10   4
     - 9*a33*m1  *m2 *n1 *n2  *n3  - 56*a33*m1  *m2 *n1 *n2  *n3

                 10   2   6   8   6            9   3   15   5
     + 112*a33*m1  *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1  *n2

                9   3   15   3   2            9   3   15      4
     + 32*a33*m1 *m2 *n1  *n2 *n3  - 16*a33*m1 *m2 *n1  *n2*n3

                9   3   13   7             9   3   13   5   2
     + 29*a33*m1 *m2 *n1  *n2  - 204*a33*m1 *m2 *n1  *n2 *n3

                 9   3   13   3   4            9   3   13      6
     + 288*a33*m1 *m2 *n1  *n2 *n3  - 64*a33*m1 *m2 *n1  *n2*n3

                9   3   11   9            9   3   11   7   2
     + 44*a33*m1 *m2 *n1  *n2  + 26*a33*m1 *m2 *n1  *n2 *n3

                 9   3   11   5   4             9   3   11   3   6
     - 576*a33*m1 *m2 *n1  *n2 *n3  + 512*a33*m1 *m2 *n1  *n2 *n3

                9   3   9   11             9   3   9   9   2
     - 37*a33*m1 *m2 *n1 *n2   + 312*a33*m1 *m2 *n1 *n2 *n3

                 9   3   9   7   4             9   3   9   5   6
     - 376*a33*m1 *m2 *n1 *n2 *n3  - 320*a33*m1 *m2 *n1 *n2 *n3

                9   3   7   13            9   3   7   11   2
     - 30*a33*m1 *m2 *n1 *n2   + 10*a33*m1 *m2 *n1 *n2  *n3

                 9   3   7   9   4             9   3   7   7   6
     + 448*a33*m1 *m2 *n1 *n2 *n3  - 672*a33*m1 *m2 *n1 *n2 *n3

                9   3   5   15            9   3   5   13   2
     + 10*a33*m1 *m2 *n1 *n2   - 40*a33*m1 *m2 *n1 *n2  *n3

                9   3   5   11   4             9   3   5   9   6
     - 56*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2 *n3

               8   4   16   4            8   4   16   2   2
     + 8*a33*m1 *m2 *n1  *n2  - 10*a33*m1 *m2 *n1  *n2 *n3

                8   4   14   6             8   4   14   4   2
     - 56*a33*m1 *m2 *n1  *n2  + 193*a33*m1 *m2 *n1  *n2 *n3

                 8   4   14   2   4           8   4   14   6
     - 108*a33*m1 *m2 *n1  *n2 *n3  - 4*a33*m1 *m2 *n1  *n3

               8   4   12   8             8   4   12   6   2
     + 9*a33*m1 *m2 *n1  *n2  - 441*a33*m1 *m2 *n1  *n2 *n3

                 8   4   12   4   4             8   4   12   2   6
     + 900*a33*m1 *m2 *n1  *n2 *n3  - 228*a33*m1 *m2 *n1  *n2 *n3

                 8   4   10   10             8   4   10   8   2
     + 138*a33*m1 *m2 *n1  *n2   - 381*a33*m1 *m2 *n1  *n2 *n3

                 8   4   10   6   4              8   4   10   4   6
     - 672*a33*m1 *m2 *n1  *n2 *n3  + 1120*a33*m1 *m2 *n1  *n2 *n3

               8   4   8   12             8   4   8   10   2
     - 5*a33*m1 *m2 *n1 *n2   + 493*a33*m1 *m2 *n1 *n2  *n3

                  8   4   8   8   4             8   4   8   6   6
     - 1176*a33*m1 *m2 *n1 *n2 *n3  - 112*a33*m1 *m2 *n1 *n2 *n3

                8   4   6   14             8   4   6   12   2
     - 60*a33*m1 *m2 *n1 *n2   + 165*a33*m1 *m2 *n1 *n2  *n3

                 8   4   6   10   4              8   4   6   8   6
     + 504*a33*m1 *m2 *n1 *n2  *n3  - 1176*a33*m1 *m2 *n1 *n2 *n3

                8   4   4   16            8   4   4   14   2
     + 10*a33*m1 *m2 *n1 *n2   - 65*a33*m1 *m2 *n1 *n2  *n3

                 8   4   4   10   6           7   5   17   3
     + 280*a33*m1 *m2 *n1 *n2  *n3  - 2*a33*m1 *m2 *n1  *n2

                7   5   15   5            7   5   15   3   2
     + 39*a33*m1 *m2 *n1  *n2  - 54*a33*m1 *m2 *n1  *n2 *n3

               7   5   15      4            7   5   13   7
     - 8*a33*m1 *m2 *n1  *n2*n3  - 96*a33*m1 *m2 *n1  *n2

                 7   5   13   5   2             7   5   13   3   4
     + 496*a33*m1 *m2 *n1  *n2 *n3  - 320*a33*m1 *m2 *n1  *n2 *n3

                7   5   13      6             7   5   11   9
     - 32*a33*m1 *m2 *n1  *n2*n3  - 107*a33*m1 *m2 *n1  *n2

                 7   5   11   7   2              7   5   11   5   4
     - 374*a33*m1 *m2 *n1  *n2 *n3  + 1592*a33*m1 *m2 *n1  *n2 *n3

                 7   5   11   3   6             7   5   9   11
     - 480*a33*m1 *m2 *n1  *n2 *n3  + 170*a33*m1 *m2 *n1 *n2

                 7   5   9   9   2              7   5   9   5   6
     - 984*a33*m1 *m2 *n1 *n2 *n3  + 1568*a33*m1 *m2 *n1 *n2 *n3

                7   5   7   13             7   5   7   11   2
     + 75*a33*m1 *m2 *n1 *n2   + 298*a33*m1 *m2 *n1 *n2  *n3

                  7   5   7   9   4             7   5   7   7   6
     - 1736*a33*m1 *m2 *n1 *n2 *n3  + 448*a33*m1 *m2 *n1 *n2 *n3

                7   5   5   15             7   5   5   13   2
     - 60*a33*m1 *m2 *n1 *n2   + 304*a33*m1 *m2 *n1 *n2  *n3

                 7   5   5   11   4              7   5   5   9   6
     + 224*a33*m1 *m2 *n1 *n2  *n3  - 1344*a33*m1 *m2 *n1 *n2 *n3

               7   5   3   17            7   5   3   15   2
     + 5*a33*m1 *m2 *n1 *n2   - 54*a33*m1 *m2 *n1 *n2  *n3

                7   5   3   13   4             7   5   3   11   6
     + 56*a33*m1 *m2 *n1 *n2  *n3  + 224*a33*m1 *m2 *n1 *n2  *n3

               6   6   16   4           6   6   16   2   2
     - 8*a33*m1 *m2 *n1  *n2  - 5*a33*m1 *m2 *n1  *n2 *n3

                6   6   14   6             6   6   14   4   2
     + 79*a33*m1 *m2 *n1  *n2  - 123*a33*m1 *m2 *n1  *n2 *n3

                6   6   14   2   4            6   6   12   8
     - 56*a33*m1 *m2 *n1  *n2 *n3  - 58*a33*m1 *m2 *n1  *n2

                 6   6   12   6   2             6   6   12   4   4
     + 711*a33*m1 *m2 *n1  *n2 *n3  - 560*a33*m1 *m2 *n1  *n2 *n3

                 6   6   12   2   6             6   6   10   10
     - 112*a33*m1 *m2 *n1  *n2 *n3  - 215*a33*m1 *m2 *n1  *n2

                 6   6   10   8   2              6   6   10   6   4
     + 129*a33*m1 *m2 *n1  *n2 *n3  + 1736*a33*m1 *m2 *n1  *n2 *n3

                 6   6   10   4   6            6   6   8   12
     - 672*a33*m1 *m2 *n1  *n2 *n3  + 68*a33*m1 *m2 *n1 *n2

                  6   6   8   10   2              6   6   8   8   4
     - 1109*a33*m1 *m2 *n1 *n2  *n3  + 1008*a33*m1 *m2 *n1 *n2 *n3

                  6   6   8   6   6             6   6   6   14
     + 1456*a33*m1 *m2 *n1 *n2 *n3  + 107*a33*m1 *m2 *n1 *n2

                 6   6   6   12   2              6   6   6   10   4
     - 123*a33*m1 *m2 *n1 *n2  *n3  - 1400*a33*m1 *m2 *n1 *n2  *n3

                 6   6   6   8   6            6   6   4   16
     + 896*a33*m1 *m2 *n1 *n2 *n3  - 30*a33*m1 *m2 *n1 *n2

                 6   6   4   14   2             6   6   4   12   4
     + 263*a33*m1 *m2 *n1 *n2  *n3  - 112*a33*m1 *m2 *n1 *n2  *n3

                  6   6   4   10   6         6   6   2   18
     - 1008*a33*m1 *m2 *n1 *n2  *n3  + a33*m1 *m2 *n1 *n2

                6   6   2   16   2            6   6   2   14   4
     - 23*a33*m1 *m2 *n1 *n2  *n3  + 56*a33*m1 *m2 *n1 *n2  *n3

                 6   6   2   12   6         5   7   17   3
     + 112*a33*m1 *m2 *n1 *n2  *n3  - a33*m1 *m2 *n1  *n2

                5   7   15   5            5   7   15   3   2
     - 12*a33*m1 *m2 *n1  *n2  - 30*a33*m1 *m2 *n1  *n2 *n3

                5   7   13   7             5   7   13   5   2
     + 89*a33*m1 *m2 *n1  *n2  - 164*a33*m1 *m2 *n1  *n2 *n3

                 5   7   13   3   4            5   7   11   9
     - 168*a33*m1 *m2 *n1  *n2 *n3  + 30*a33*m1 *m2 *n1  *n2

                 5   7   11   7   2             5   7   11   5   4
     + 626*a33*m1 *m2 *n1  *n2 *n3  - 672*a33*m1 *m2 *n1  *n2 *n3

                 5   7   11   3   6             5   7   9   11
     - 224*a33*m1 *m2 *n1  *n2 *n3  - 177*a33*m1 *m2 *n1 *n2

                 5   7   9   9   2              5   7   9   7   4
     + 564*a33*m1 *m2 *n1 *n2 *n3  + 1176*a33*m1 *m2 *n1 *n2 *n3

                 5   7   9   5   6            5   7   7   13
     - 672*a33*m1 *m2 *n1 *n2 *n3  - 40*a33*m1 *m2 *n1 *n2

                 5   7   7   11   2              5   7   7   9   4
     - 606*a33*m1 *m2 *n1 *n2  *n3  + 1344*a33*m1 *m2 *n1 *n2 *n3

                 5   7   7   7   6            5   7   5   15
     + 896*a33*m1 *m2 *n1 *n2 *n3  + 61*a33*m1 *m2 *n1 *n2

                 5   7   5   13   2             5   7   5   11   4
     - 292*a33*m1 *m2 *n1 *n2  *n3  - 552*a33*m1 *m2 *n1 *n2  *n3

                 5   7   5   9   6           5   7   3   17
     + 832*a33*m1 *m2 *n1 *n2 *n3  - 6*a33*m1 *m2 *n1 *n2

                 5   7   3   15   2             5   7   3   13   4
     + 114*a33*m1 *m2 *n1 *n2  *n3  - 192*a33*m1 *m2 *n1 *n2  *n3

                 5   7   3   11   6           5   7      17   2
     - 480*a33*m1 *m2 *n1 *n2  *n3  - 4*a33*m1 *m2 *n1*n2  *n3

                5   7      15   4            5   7      13   6
     + 24*a33*m1 *m2 *n1*n2  *n3  + 32*a33*m1 *m2 *n1*n2  *n3

               4   8   16   4            4   8   14   6
     - 5*a33*m1 *m2 *n1  *n2  - 10*a33*m1 *m2 *n1  *n2

                4   8   14   4   2            4   8   12   8
     - 75*a33*m1 *m2 *n1  *n2 *n3  + 65*a33*m1 *m2 *n1  *n2

                 4   8   12   6   2             4   8   12   4   4
     - 165*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                4   8   10   10             4   8   10   8   2
     + 68*a33*m1 *m2 *n1  *n2   + 347*a33*m1 *m2 *n1  *n2 *n3

                 4   8   10   6   4             4   8   10   4   6
     - 616*a33*m1 *m2 *n1  *n2 *n3  - 280*a33*m1 *m2 *n1  *n2 *n3

                4   8   8   12             4   8   8   10   2
     - 61*a33*m1 *m2 *n1 *n2   + 521*a33*m1 *m2 *n1 *n2  *n3

                 4   8   8   8   4             4   8   8   6   6
     + 448*a33*m1 *m2 *n1 *n2 *n3  - 504*a33*m1 *m2 *n1 *n2 *n3

                4   8   6   14            4   8   6   12   2
     - 46*a33*m1 *m2 *n1 *n2   - 99*a33*m1 *m2 *n1 *n2  *n3

                 4   8   6   10   4             4   8   6   8   6
     + 864*a33*m1 *m2 *n1 *n2  *n3  + 352*a33*m1 *m2 *n1 *n2 *n3

                4   8   4   16             4   8   4   14   2
     + 13*a33*m1 *m2 *n1 *n2   - 163*a33*m1 *m2 *n1 *n2  *n3

                4   8   4   12   4             4   8   4   10   6
     - 16*a33*m1 *m2 *n1 *n2  *n3  + 440*a33*m1 *m2 *n1 *n2  *n3

                4   8   2   16   2            4   8   2   14   4
     + 20*a33*m1 *m2 *n1 *n2  *n3  - 92*a33*m1 *m2 *n1 *n2  *n3

                 4   8   2   12   6           4   8   16   4
     - 132*a33*m1 *m2 *n1 *n2  *n3  + 4*a33*m1 *m2 *n2  *n3

               4   8   14   6            3   9   15   5
     + 4*a33*m1 *m2 *n2  *n3  - 10*a33*m1 *m2 *n1  *n2

                3   9   13   7             3   9   13   5   2
     - 10*a33*m1 *m2 *n1  *n2  - 100*a33*m1 *m2 *n1  *n2 *n3

                3   9   11   9             3   9   11   7   2
     + 33*a33*m1 *m2 *n1  *n2  - 150*a33*m1 *m2 *n1  *n2 *n3

                 3   9   11   5   4            3   9   9   11
     - 280*a33*m1 *m2 *n1  *n2 *n3  + 44*a33*m1 *m2 *n1 *n2

                 3   9   9   9   2             3   9   9   7   4
     + 108*a33*m1 *m2 *n1 *n2 *n3  - 448*a33*m1 *m2 *n1 *n2 *n3

                 3   9   9   5   6         3   9   7   13
     - 224*a33*m1 *m2 *n1 *n2 *n3  - a33*m1 *m2 *n1 *n2

                 3   9   7   11   2            3   9   7   9   4
     + 234*a33*m1 *m2 *n1 *n2  *n3  + 40*a33*m1 *m2 *n1 *n2 *n3

                 3   9   7   7   6            3   9   5   15
     - 288*a33*m1 *m2 *n1 *n2 *n3  - 12*a33*m1 *m2 *n1 *n2

                3   9   5   13   2             3   9   5   11   4
     + 44*a33*m1 *m2 *n1 *n2  *n3  + 288*a33*m1 *m2 *n1 *n2  *n3

                3   9   5   9   6            3   9   3   15   2
     + 80*a33*m1 *m2 *n1 *n2 *n3  - 32*a33*m1 *m2 *n1 *n2  *n3

                3   9   3   13   4             3   9   3   11   6
     + 64*a33*m1 *m2 *n1 *n2  *n3  + 128*a33*m1 *m2 *n1 *n2  *n3

                3   9      15   4            3   9      13   6
     - 16*a33*m1 *m2 *n1*n2  *n3  - 16*a33*m1 *m2 *n1*n2  *n3

                2   10   14   6            2   10   12   8
     - 10*a33*m1 *m2  *n1  *n2  - 12*a33*m1 *m2  *n1  *n2

                2   10   12   6   2           2   10   10   10
     - 75*a33*m1 *m2  *n1  *n2 *n3  + 9*a33*m1 *m2  *n1  *n2

                 2   10   10   8   2             2   10   10   6   4
     - 109*a33*m1 *m2  *n1  *n2 *n3  - 168*a33*m1 *m2  *n1  *n2 *n3

                2   10   8   12         2   10   8   10   2
     + 14*a33*m1 *m2  *n1 *n2   + a33*m1 *m2  *n1 *n2  *n3

                 2   10   8   8   4             2   10   8   6   6
     - 240*a33*m1 *m2  *n1 *n2 *n3  - 112*a33*m1 *m2  *n1 *n2 *n3

               2   10   6   14            2   10   6   12   2
     + 3*a33*m1 *m2  *n1 *n2   + 51*a33*m1 *m2  *n1 *n2  *n3

                2   10   6   10   4             2   10   6   8   6
     - 48*a33*m1 *m2  *n1 *n2  *n3  - 120*a33*m1 *m2  *n1 *n2 *n3

                2   10   4   14   2            2   10   4   12   4
     + 16*a33*m1 *m2  *n1 *n2  *n3  + 40*a33*m1 *m2  *n1 *n2  *n3

               2   10   4   10   6            2   10   2   14   4
     + 8*a33*m1 *m2  *n1 *n2  *n3  + 16*a33*m1 *m2  *n1 *n2  *n3

                2   10   2   12   6              11   13   7
     + 16*a33*m1 *m2  *n1 *n2  *n3  - 5*a33*m1*m2  *n1  *n2

                  11   11   9               11   11   7   2
     - 8*a33*m1*m2  *n1  *n2  - 30*a33*m1*m2  *n1  *n2 *n3

                11   9   11               11   9   9   2
     - a33*m1*m2  *n1 *n2   - 48*a33*m1*m2  *n1 *n2 *n3

                   11   9   7   4              11   7   13
     - 56*a33*m1*m2  *n1 *n2 *n3  + 2*a33*m1*m2  *n1 *n2

                   11   7   11   2               11   7   9   4
     - 14*a33*m1*m2  *n1 *n2  *n3  - 80*a33*m1*m2  *n1 *n2 *n3

                   11   7   7   6              11   5   13   2
     - 32*a33*m1*m2  *n1 *n2 *n3  + 4*a33*m1*m2  *n1 *n2  *n3

                   11   5   11   4               11   5   9   6
     - 24*a33*m1*m2  *n1 *n2  *n3  - 32*a33*m1*m2  *n1 *n2 *n3

             12   12   8           12   10   10           12   10   8   2
     - a33*m2  *n1  *n2  - 2*a33*m2  *n1  *n2   - 5*a33*m2  *n1  *n2 *n3

             12   8   12           12   8   10   2           12   8   8   4
     - a33*m2  *n1 *n2   - 9*a33*m2  *n1 *n2  *n3  - 8*a33*m2  *n1 *n2 *n3

               12   6   12   2            12   6   10   4
     - 4*a33*m2  *n1 *n2  *n3  - 12*a33*m2  *n1 *n2  *n3

               12   6   8   6           12   4   12   4
     - 4*a33*m2  *n1 *n2 *n3  - 4*a33*m2  *n1 *n2  *n3

               12   4   10   6            11   13   6   3       11   13   4   5
     - 4*a33*m2  *n1 *n2  *n3 ) + v3*(2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3

             11   13   2   7       11   11   8   3       11   11   6   5
       + 8*m1  *n1  *n2 *n3  + 2*m1  *n1  *n2 *n3  - 8*m1  *n1  *n2 *n3

             11   11   4   7       10      14   7           10      14   5   3
       + 8*m1  *n1  *n2 *n3  + 2*m1  *m2*n1  *n2 *n3 - 16*m1  *m2*n1  *n2 *n3

              10      14   3   5        10      14      7
       + 32*m1  *m2*n1  *n2 *n3  - 16*m1  *m2*n1  *n2*n3

             10      12   9           10      12   7   3
       + 4*m1  *m2*n1  *n2 *n3 - 10*m1  *m2*n1  *n2 *n3

              10      12   5   5        10      12   3   7
       - 24*m1  *m2*n1  *n2 *n3  + 56*m1  *m2*n1  *n2 *n3

             10      10   11          10      10   9   3
       + 2*m1  *m2*n1  *n2  *n3 + 6*m1  *m2*n1  *n2 *n3

              10      10   7   5        10      10   5   7
       - 56*m1  *m2*n1  *n2 *n3  + 72*m1  *m2*n1  *n2 *n3

             9   2   15   6           9   2   15   4   3
       - 8*m1 *m2 *n1  *n2 *n3 + 36*m1 *m2 *n1  *n2 *n3

              9   2   15   2   5       9   2   15   7       9   2   13   8
       - 40*m1 *m2 *n1  *n2 *n3  + 8*m1 *m2 *n1  *n3  - 4*m1 *m2 *n1  *n2 *n3

              9   2   13   6   3         9   2   13   4   5
       - 52*m1 *m2 *n1  *n2 *n3  + 200*m1 *m2 *n1  *n2 *n3

               9   2   13   2   7        9   2   11   10
       - 136*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2  *n3

               9   2   11   8   3        9   2   11   6   5
       - 102*m1 *m2 *n1  *n2 *n3  + 80*m1 *m2 *n1  *n2 *n3

               9   2   11   4   7        9   2   9   12
       + 144*m1 *m2 *n1  *n2 *n3  + 12*m1 *m2 *n1 *n2  *n3

              9   2   9   10   3         9   2   9   8   5
       - 14*m1 *m2 *n1 *n2  *n3  - 160*m1 *m2 *n1 *n2 *n3

               9   2   9   6   7        8   3   16   5
       + 288*m1 *m2 *n1 *n2 *n3  + 12*m1 *m2 *n1  *n2 *n3

              8   3   16   3   3        8   3   16      5
       - 32*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2*n3

              8   3   14   7            8   3   14   5   3
       - 24*m1 *m2 *n1  *n2 *n3 + 196*m1 *m2 *n1  *n2 *n3

               8   3   14   3   5        8   3   14      7
       - 296*m1 *m2 *n1  *n2 *n3  + 72*m1 *m2 *n1  *n2*n3

              8   3   12   9           8   3   12   7   3
       - 54*m1 *m2 *n1  *n2 *n3 + 60*m1 *m2 *n1  *n2 *n3

               8   3   12   5   5         8   3   12   3   7
       + 456*m1 *m2 *n1  *n2 *n3  - 504*m1 *m2 *n1  *n2 *n3

              8   3   10   11            8   3   10   9   3
       + 12*m1 *m2 *n1  *n2  *n3 - 266*m1 *m2 *n1  *n2 *n3

               8   3   10   7   5        8   3   10   5   7
       + 544*m1 *m2 *n1  *n2 *n3  + 96*m1 *m2 *n1  *n2 *n3

              8   3   8   13           8   3   8   11   3
       + 30*m1 *m2 *n1 *n2  *n3 - 98*m1 *m2 *n1 *n2  *n3

               8   3   8   9   5         8   3   8   7   7
       - 224*m1 *m2 *n1 *n2 *n3  + 672*m1 *m2 *n1 *n2 *n3

             7   4   17   4           7   4   17   2   3
       - 8*m1 *m2 *n1  *n2 *n3 + 10*m1 *m2 *n1  *n2 *n3

              7   4   15   6            7   4   15   4   3
       + 56*m1 *m2 *n1  *n2 *n3 - 206*m1 *m2 *n1  *n2 *n3

               7   4   15   2   5        7   4   13   8
       + 128*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1  *n2 *n3

               7   4   13   6   3         7   4   13   4   5
       + 372*m1 *m2 *n1  *n2 *n3  - 928*m1 *m2 *n1  *n2 *n3

               7   4   13   2   7         7   4   11   10
       + 288*m1 *m2 *n1  *n2 *n3  - 128*m1 *m2 *n1  *n2  *n3

               7   4   11   8   3         7   4   11   6   5
       + 532*m1 *m2 *n1  *n2 *n3  + 288*m1 *m2 *n1  *n2 *n3

                7   4   11   4   7        7   4   9   12
       - 1056*m1 *m2 *n1  *n2 *n3  - 40*m1 *m2 *n1 *n2  *n3

               7   4   9   10   3          7   4   9   8   5
       - 266*m1 *m2 *n1 *n2  *n3  + 1232*m1 *m2 *n1 *n2 *n3

               7   4   9   6   7        7   4   7   14
       - 336*m1 *m2 *n1 *n2 *n3  + 40*m1 *m2 *n1 *n2  *n3

               7   4   7   12   3         7   4   7   10   5
       - 210*m1 *m2 *n1 *n2  *n3  - 112*m1 *m2 *n1 *n2  *n3

                7   4   7   8   7       6   5   18   3
       + 1008*m1 *m2 *n1 *n2 *n3  + 2*m1 *m2 *n1  *n2 *n3

              6   5   16   5           6   5   16   3   3
       - 44*m1 *m2 *n1  *n2 *n3 + 70*m1 *m2 *n1  *n2 *n3

              6   5   14   7            6   5   14   5   3
       + 86*m1 *m2 *n1  *n2 *n3 - 546*m1 *m2 *n1  *n2 *n3

               6   5   14   3   5         6   5   12   9
       + 448*m1 *m2 *n1  *n2 *n3  + 152*m1 *m2 *n1  *n2 *n3

               6   5   12   7   3          6   5   12   5   5
       + 140*m1 *m2 *n1  *n2 *n3  - 1568*m1 *m2 *n1  *n2 *n3

               6   5   12   3   7         6   5   10   11
       + 672*m1 *m2 *n1  *n2 *n3  - 110*m1 *m2 *n1  *n2  *n3

                6   5   10   9   3         6   5   10   7   5
       + 1036*m1 *m2 *n1  *n2 *n3  - 672*m1 *m2 *n1  *n2 *n3

                6   5   10   5   7         6   5   8   13
       - 1344*m1 *m2 *n1  *n2 *n3  - 100*m1 *m2 *n1 *n2  *n3

              6   5   8   11   3          6   5   8   9   5
       + 42*m1 *m2 *n1 *n2  *n3  + 1456*m1 *m2 *n1 *n2 *n3

                6   5   8   7   7        6   5   6   15
       - 1008*m1 *m2 *n1 *n2 *n3  + 30*m1 *m2 *n1 *n2  *n3

               6   5   6   13   3         6   5   6   11   5
       - 238*m1 *m2 *n1 *n2  *n3  + 112*m1 *m2 *n1 *n2  *n3

                6   5   6   9   7        5   6   17   4
       + 1008*m1 *m2 *n1 *n2 *n3  + 12*m1 *m2 *n1  *n2 *n3

              5   6   15   6            5   6   15   4   3
       - 96*m1 *m2 *n1  *n2 *n3 + 210*m1 *m2 *n1  *n2 *n3

              5   6   13   8            5   6   13   6   3
       + 12*m1 *m2 *n1  *n2 *n3 - 742*m1 *m2 *n1  *n2 *n3

               5   6   13   4   5         5   6   11   10
       + 896*m1 *m2 *n1  *n2 *n3  + 240*m1 *m2 *n1  *n2  *n3

               5   6   11   8   3          5   6   11   6   5
       - 532*m1 *m2 *n1  *n2 *n3  - 1456*m1 *m2 *n1  *n2 *n3

                5   6   11   4   7        5   6   9   12
       + 1008*m1 *m2 *n1  *n2 *n3  + 12*m1 *m2 *n1 *n2  *n3

               5   6   9   10   3          5   6   9   8   5
       + 924*m1 *m2 *n1 *n2  *n3  - 1680*m1 *m2 *n1 *n2 *n3

                5   6   9   6   7        5   6   7   14
       - 1008*m1 *m2 *n1 *n2 *n3  - 96*m1 *m2 *n1 *n2  *n3

               5   6   7   12   3         5   6   7   10   5
       + 350*m1 *m2 *n1 *n2  *n3  + 896*m1 *m2 *n1 *n2  *n3

                5   6   7   8   7        5   6   5   16
       - 1344*m1 *m2 *n1 *n2 *n3  + 12*m1 *m2 *n1 *n2  *n3

               5   6   5   14   3         5   6   5   12   5
       - 154*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2  *n3

               5   6   5   10   7        4   7   16   5
       + 672*m1 *m2 *n1 *n2  *n3  + 30*m1 *m2 *n1  *n2 *n3

               4   7   14   7            4   7   14   5   3
       - 100*m1 *m2 *n1  *n2 *n3 + 350*m1 *m2 *n1  *n2 *n3

               4   7   12   9            4   7   12   7   3
       - 110*m1 *m2 *n1  *n2 *n3 - 490*m1 *m2 *n1  *n2 *n3

                4   7   12   5   5         4   7   10   11
       + 1120*m1 *m2 *n1  *n2 *n3  + 152*m1 *m2 *n1  *n2  *n3

               4   7   10   9   3         4   7   10   7   5
       - 924*m1 *m2 *n1  *n2 *n3  - 560*m1 *m2 *n1  *n2 *n3

                4   7   10   5   7        4   7   8   13
       + 1008*m1 *m2 *n1  *n2 *n3  + 86*m1 *m2 *n1 *n2  *n3

               4   7   8   11   3          4   7   8   9   5
       + 308*m1 *m2 *n1 *n2  *n3  - 1680*m1 *m2 *n1 *n2 *n3

               4   7   8   7   7        4   7   6   15
       - 336*m1 *m2 *n1 *n2 *n3  - 44*m1 *m2 *n1 *n2  *n3

               4   7   6   13   3         4   7   6   11   5
       + 338*m1 *m2 *n1 *n2  *n3  + 160*m1 *m2 *n1 *n2  *n3

                4   7   6   9   7       4   7   4   17
       - 1056*m1 *m2 *n1 *n2 *n3  + 2*m1 *m2 *n1 *n2  *n3

              4   7   4   15   3         4   7   4   13   5
       - 54*m1 *m2 *n1 *n2  *n3  + 160*m1 *m2 *n1 *n2  *n3

               4   7   4   11   7        3   8   15   6
       + 288*m1 *m2 *n1 *n2  *n3  + 40*m1 *m2 *n1  *n2 *n3

              3   8   13   8            3   8   13   6   3
       - 40*m1 *m2 *n1  *n2 *n3 + 350*m1 *m2 *n1  *n2 *n3

               3   8   11   10           3   8   11   8   3
       - 128*m1 *m2 *n1  *n2  *n3 - 42*m1 *m2 *n1  *n2 *n3

               3   8   11   6   5        3   8   9   12
       + 896*m1 *m2 *n1  *n2 *n3  + 16*m1 *m2 *n1 *n2  *n3

               3   8   9   10   3         3   8   9   8   5
       - 644*m1 *m2 *n1 *n2  *n3  + 224*m1 *m2 *n1 *n2 *n3

               3   8   9   6   7        3   8   7   14
       + 672*m1 *m2 *n1 *n2 *n3  + 56*m1 *m2 *n1 *n2  *n3

               3   8   7   12   3         3   8   7   10   5
       - 100*m1 *m2 *n1 *n2  *n3  - 864*m1 *m2 *n1 *n2  *n3

              3   8   7   8   7       3   8   5   16
       + 96*m1 *m2 *n1 *n2 *n3  - 8*m1 *m2 *n1 *n2  *n3

               3   8   5   14   3         3   8   5   12   5
       + 144*m1 *m2 *n1 *n2  *n3  - 136*m1 *m2 *n1 *n2  *n3

               3   8   5   10   7       3   8   3   16   3
       - 504*m1 *m2 *n1 *n2  *n3  - 8*m1 *m2 *n1 *n2  *n3

              3   8   3   14   5        3   8   3   12   7
       + 56*m1 *m2 *n1 *n2  *n3  + 72*m1 *m2 *n1 *n2  *n3

              2   9   14   7           2   9   12   9
       + 30*m1 *m2 *n1  *n2 *n3 + 12*m1 *m2 *n1  *n2 *n3

               2   9   12   7   3        2   9   10   11
       + 210*m1 *m2 *n1  *n2 *n3  - 54*m1 *m2 *n1  *n2  *n3

               2   9   10   9   3         2   9   10   7   5
       + 154*m1 *m2 *n1  *n2 *n3  + 448*m1 *m2 *n1  *n2 *n3

              2   9   8   13            2   9   8   11   3
       - 24*m1 *m2 *n1 *n2  *n3 - 188*m1 *m2 *n1 *n2  *n3

               2   9   8   9   5         2   9   8   7   7
       + 352*m1 *m2 *n1 *n2 *n3  + 288*m1 *m2 *n1 *n2 *n3

              2   9   6   15            2   9   6   13   3
       + 12*m1 *m2 *n1 *n2  *n3 - 108*m1 *m2 *n1 *n2  *n3

               2   9   6   11   5         2   9   6   9   7
       - 192*m1 *m2 *n1 *n2  *n3  + 144*m1 *m2 *n1 *n2 *n3

              2   9   4   15   3        2   9   4   13   5
       + 24*m1 *m2 *n1 *n2  *n3  - 88*m1 *m2 *n1 *n2  *n3

               2   9   4   11   7       2   9   2   15   5
       - 136*m1 *m2 *n1 *n2  *n3  + 8*m1 *m2 *n1 *n2  *n3

             2   9   2   13   7           10   13   8
       + 8*m1 *m2 *n1 *n2  *n3  + 12*m1*m2  *n1  *n2 *n3

                 10   11   10              10   11   8   3
       + 16*m1*m2  *n1  *n2  *n3 + 70*m1*m2  *n1  *n2 *n3

                10   9   12              10   9   10   3
       - 4*m1*m2  *n1 *n2  *n3 + 94*m1*m2  *n1 *n2  *n3

                  10   9   8   5          10   7   14
       + 128*m1*m2  *n1 *n2 *n3  - 8*m1*m2  *n1 *n2  *n3

                  10   7   10   5           10   7   8   7
       + 152*m1*m2  *n1 *n2  *n3  + 72*m1*m2  *n1 *n2 *n3

                 10   5   14   3          10   5   12   5
       - 24*m1*m2  *n1 *n2  *n3  + 8*m1*m2  *n1 *n2  *n3

                 10   5   10   7           10   3   14   5
       + 56*m1*m2  *n1 *n2  *n3  - 16*m1*m2  *n1 *n2  *n3

                 10   3   12   7       11   12   9          11   10   11
       - 16*m1*m2  *n1 *n2  *n3  + 2*m2  *n1  *n2 *n3 + 4*m2  *n1  *n2  *n3

              11   10   9   3       11   8   13           11   8   11   3
       + 10*m2  *n1  *n2 *n3  + 2*m2  *n1 *n2  *n3 + 18*m2  *n1 *n2  *n3

              11   8   9   5       11   6   13   3        11   6   11   5
       + 16*m2  *n1 *n2 *n3  + 8*m2  *n1 *n2  *n3  + 24*m2  *n1 *n2  *n3

             11   6   9   7       11   4   13   5       11   4   11   7
       + 8*m2  *n1 *n2 *n3  + 8*m2  *n1 *n2  *n3  + 8*m2  *n1 *n2  *n3 )
Stop of a subroutine.
Number of garbage collections exceeds max_gc_fac.
The factorization crashed!

which the program can not factorize further.
**** requested size:2

Time: 2019310 ms  plus GC time: 33530 ms