(ska3) ➜ spinny git:(main) time python spinny.py 1000
Found solution in 2517 iterations
offsets = (1, 5, 5, 9, 0) (drag counterclockwise)
Visible wheel
[[10 11 7 11 15 6 8 7 3 14 6 8]
[21 14 15 9 9 12 11 4 14 7 15 13]
[ 5 9 10 19 8 12 22 26 16 14 9 13]
[ 6 8 10 3 10 12 1 5 9 7 12 8]]
Sum of each column
[42 42 42 42 42 42 42 42 42 42 42 42]
python spinny.py 1000 2.41s user 0.07s system 97% cpu 2.530 total
In [1]: from spinny import find_meaning_of_life, WHEELS
In [2]: %timeit find_meaning_of_life(WHEELS)
1.4 ms ± 12.5 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)
==> About 1.0 second startup cost for Python and imports
(ska3) ➜ spinny git:(main) rustc spinny.rs
(ska3) ➜ spinny git:(main) time ./spinny 1000
1 5 5 9 0
./spinny 1000 1.35s user 0.00s system 85% cpu 1.589 total
==> Python + numba is impressively FAST!