Support more complex conditions in apply cuts

[maxnoe]

• Allow ranges, e.g. like

    - [>, 50]
    - [<=, 50000]

• Allow logical or / not

[maxnoe]

Maybe also using pandas eval or numexpr directly for this like in the feature generation is a good idea

[LukasNickel]

Wouldn't this be a use case for pandas query?
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html#pandas.DataFrame.query

[LukasNickel]

How would the configuration syntax for the logical or conditions look like anyway?
I think the current syntax might be to limited for that. We could (if we go with eval/query) go for something like:

selection:
    - intensity > 50
    - num_islands < 5
    - width > 0 and width < 10
    - telescope == 'LST' or telescope == 'MST'
    - run == 1 or run == 5

This way every line equals one boolean expression and all of them are joined with a logical and.

But maybe there is a better, backwards compatible way?