BUG: fix read_json ignoring the dtype with the pyarrow engine
- Added code to check if dtypes have been passed in, if they are, read the JSON with the schema built from those dtypes
- Split read JSON function up for the respective engines

- [X] closes #59516  (Replace xxxx with the GitHub issue number)
- [X] [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
- [X] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [X] 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.

Could any reviewers point me in the right direction with the failing test? Can't seem to figure out what is causing it I believe that issue appears in pyarrow < 16. In your test you can check that pyarrow version and filter the warning if that is detected > I believe that issue appears in pyarrow < 16. In your test you can check that pyarrow version and filter the warning if that is detected

Looks like that has worked, thanks! Thanks @will-larkin 