BUG: Fix groupby().any() behavior for timedelta columns with all null valuesfix issue #59712
This pull request addresses a bug in the `groupby().any()` method when applied to DataFrames with `timedelta` columns where all values are null (`NaT`). Previously, the method incorrectly returned `True` for groups with all null values in the `timedelta` column. 

**Changes Made:**
- Updated the `_call_cython_op` method to correctly handle `timedelta` columns when computing the `any()` aggregation.
- Added a new test case to verify that `groupby().any()` returns `False` for groups where all `timedelta` values are null.

**Issue Reference:**
- See issue [#59712](https://github.com/pandas-dev/pandas/issues/59712) for more details about the bug report.

This fix ensures that the `groupby().any()` method behaves consistently for `timedelta` columns, aligning with the behavior observed for other data types.

Thanks for the PR!

> * Added a new test case to verify that `groupby().any()` returns `False` for groups where all `timedelta` values are null.

Not seeing a new test. Perhaps you didn't commit it?
 > Thanks for the PR!
> 
> > * Added a new test case to verify that `groupby().any()` returns `False` for groups where all `timedelta` values are null.
> 
> Not seeing a new test. Perhaps you didn't commit it?

Yeah. sorry. i did now @40gilad - in case you didn't notice, tests on the CI are failing. Let me know if you could use an assistance. @rhshadrach - can I take over this issue? seems like this PR has gone stale Agreed at @KevsterAmp - but there was already another open PR on this (#59782). I'd suggest giving that PR a few weeks, and if it goes stale, you're next up. Sound reasonable? Sounds good to me. Thanks This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this. The other PR was merged. Closing.