fix: stabilize FindSequence microbench

[cheb0]

Description

Same, as before - just use same random data across runs.

main branch:
20.68 ns/op
28.29 ns/op
34.91 ns/op
29.05 ns/op

now:
21.00 ns/op
20.95 ns/op
20.67 ns/op
20.69 ns/op

It also means the data will always be same.

The alternative solution would be to generate 1000+ random haystacks and needles and run across all of them. That would also possibly make results more stable as well. However, I would leave it to someone who wants to change the function logic itself.

---

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• I used LLM/AI assistance to make this pull request;

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.29%. Comparing base (8bbe783) to head (772a7d6).

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #378      +/-   ##
==========================================
+ Coverage   71.27%   71.29%   +0.02%     
==========================================
  Files         206      206              
  Lines       15156    15156              
==========================================
+ Hits        10802    10806       +4     
+ Misses       3568     3562       -6     
- Partials      786      788       +2     

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[github-actions]

🔴 Performance Degradation

Some benchmarks have degraded compared to the previous run.
Click on Show table button to see full list of degraded benchmarks.

Show table

Name	Previous	Current	Ratio	Verdict
FindSequence_Random/medium-4	7fa2c2	78c9a9
	12429.58 MB/s	9823.45 MB/s	0.79	🔴