TST: Add test for `pd.read_csv` date parsing not working with `dtype_backend="pyarrow"` and missing values
- [x] closes #59904 (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).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

I tried using 
```python
    assert pd.api.types.is_datetime64_any_dtype(df["date"])
```
but it seems that the code checks doesn't allow it. Not sure if the assertion is correct:
```python
    assert (df["date"].dtype) == "datetime64[s]"
``` Thanks @KevsterAmp 