BUG: Fixes pd.merge issue with columns of dtype numpy.uintc on windows
This PR fixes the issue encountered when using pd.merge with columns of dtype numpy.uintc on windows.
Added a relevant pytest case to validate correct behavior.

- [x] closes #58713 
- [x] [Tests added and passed
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

Hi @mroeschke , I have added the whatsnew note and included current issue #58713 and also issue #60091 as this PR fixes both of them. I have also added 2 more test cases which includes `np.intc` and reproducible example from issue #60091 Thanks @AbhishekChaudharii 