Use straxen.EventBasics.set_nan_defaults to set default values

[dachengx]

What does the code in this PR do / what does it improve?

With the old code and numpy==1.26.3, we will see error like:

FAILED tests/plugins/test_plugins.py::PluginTest::test_event_ms_naive - ValueError: cannot convert float NaN to integer

This is due to

straxen/straxen/plugins/peaks/peak_per_event.py

Line 33 in 2c48b77

result.fill(np.nan)

is not compatible anymore with the new numpy when there is int in result.

So this PR use straxen.EventBasics.set_nan_defaults to set the default value of result.

Can you briefly describe how it works?

Can you give a minimal working example (or illustrate with a figure)?

[coveralls]

coverage: 92.445% (+0.05%) from 92.397%
when pulling 3c2c6fc on np_fix_new
into 16caa01 on master.

[WenzDaniel]

Thanks for the quick update.