PERF: use bisect_right_i8 in vectorized
- [ ] closes #xxxx (Replace xxxx with the Github issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

and specific asv improvements? > and specific asv improvements?

haven't run any.  the improvements for the scalar cases we already did were about 2x ran some asvs/timeits and this appeared to be a wash, so the main benefit is standardizing code patterns. ran some asvs/timeits and this appeared to be a wash, so the main benefit is standardizing code patterns.