Undo run end filter performance regression

[delamarch3]

Which issue does this PR close?

Related to #6675

Rationale for this change

After running some benchmarks it turned out that the changes introduced in my previous PR were quite slow. This should bring it back closer to how it was before.

run_ends_len = 64       time:   [3.9878 µs 4.0035 µs 4.0204 µs]
                        change: [-1.3684% -0.4485% +0.5210%] (p = 0.34 > 0.05)
                        No change in performance detected.
Found 6 outliers among 100 measurements (6.00%)
  2 (2.00%) high mild
  4 (4.00%) high severe

run_ends_len = 512      time:   [56.654 µs 57.076 µs 57.458 µs]
                        change: [-1.7583% -1.0124% -0.2300%] (p = 0.01 < 0.05)
                        Change within noise threshold.
Found 2 outliers among 100 measurements (2.00%)
  2 (2.00%) high mild

run_ends_len = 1024     time:   [151.37 µs 151.83 µs 152.34 µs]
                        change: [-4.5739% -3.1197% -1.6545%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 11 outliers among 100 measurements (11.00%)
  1 (1.00%) low mild
  4 (4.00%) high mild
  6 (6.00%) high severe

run_ends_len = 64       time:   [2.7373 µs 2.8041 µs 2.8841 µs]
                        change: [-32.545% -31.650% -30.574%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 14 outliers among 100 measurements (14.00%)
  6 (6.00%) high mild
  8 (8.00%) high severe

run_ends_len = 512      time:   [4.5291 µs 4.5413 µs 4.5548 µs]
                        change: [-91.973% -91.902% -91.821%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
  2 (2.00%) high mild
  5 (5.00%) high severe

run_ends_len = 1024     time:   [6.3687 µs 6.4206 µs 6.4869 µs]
                        change: [-95.802% -95.750% -95.693%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 10 outliers among 100 measurements (10.00%)
  4 (4.00%) high mild
  6 (6.00%) high severe

What changes are included in this PR?

I subtract the difference from end to keep it in bounds.

Are there any user-facing changes?

No