Our ultimate goal is to switch eventually to a Rust implementation, but
this move actually seems to increase the performance in a pure Python
build.
What follows is a quick measurement done on PyPy on repos prepared with
contrib/discovery-helper.sh 50 100.
Before:
! wall 0.894384 comb 0.890000 user 0.890000 sys 0.000000 (best of 11)
! wall 0.971199 comb 0.970000 user 0.950000 sys 0.020000 (max of 11)
! wall 0.927993 comb 0.925455 user 0.919091 sys 0.006364 (avg of 11)
! wall 0.921619 comb 0.920000 user 0.910000 sys 0.010000 (median of 11)
After:
! wall 0.614278 comb 0.610000 user 0.610000 sys 0.000000 (best of 14)
! wall 0.789459 comb 0.790000 user 0.770000 sys 0.020000 (max of 14)
! wall 0.722765 comb 0.720000 user 0.715714 sys 0.004286 (avg of 14)
! wall 0.734448 comb 0.720000 user 0.720000 sys 0.000000 (median of 14)