Add back Numba decorators #100
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before: 128 µs ± 1.14 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each) after: 7.2 µs ± 315 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)
…tatmech.py before: 121 µs ± 601 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each) after: 1.87 µs ± 3.7 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each) pure Numpy: 99 µs ± 188 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)
it does not matter that much
before: 1.38 ms ± 3.76 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) after: 300 µs ± 1.47 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)
originally does not exist
…rpolation.py wiht `calculate_eulerian_strain` & `from_eulerian_strain`
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