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Pull from ATLAS EXOT 15 Derivation to scikitlearn in one nice fast swoop
This project forked from gordonwatts/bdttraininganalysislanguage
Pull from ATLAS EXOT 15 Derivation to scikitlearn in one nice fast swoop
It should be fine do pass the whole event into a selection lambda, but this is broken currently. This is related to the fact that the data source could be represented by something shaped like a dict, a tuple, a list, or a numpy/awkward array. Need to inspect the type/shape and pass to base_array in some uniform way.
xAODlib tests were broken by adding Count, Min, Max, Sum, Average to find_LINQ_operators.py. Need to adjust aggregate_shortcuts.py accordingly.
Need to extract columns from Table and create a tuple/list after selection
E.g., a if b else c
Unit testing visit_Subscript is a bit complicated because of the axis parameter.
Comprehensions for list, dict, etc.
These can only be put on axes deeper than the event/row level right now. Adding these to ObjectStream would allow placing them at the event level.
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