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More Robustly Typing Constants / Letting Numba Parallelize For PERFT …
…Speedups - More robust typing of some constant values (most notably the number 1 on line 205 of batch_first/__init__.py wasn't explicitly typed as np.uint64, and ended up causing an issue on my Windows OS boot, which resulted in failed tests (is now resolved)) - Turned on Numba's forced loop parallelization in a few places, specifically to improve PERFT scores (for devices like my i7-6850k running at stock settings)
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