Make behaviour of compute consistent for slicing#419
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May 30, 2025 10:38
FrancescAlted
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May 30, 2025
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As discussed in #399, there were problems for slicing lazy expressions with one where condition, since the output is in general of a different length to the input.
The .compute function when provided with a slice argument internally takes slices of the operands prior to evaluating the expression. One could change this, but I think it is better to interpret the argument as slicing operands prior to calculation. If one is interested in a general slice of the full result one can always force via expr.compute().slice(sl).
An unfortunate consequence is that the syntax of the get_item method is a little misleading (hence why I have changed the tests).
expr.compute(sl)[:] is equal to the numpy syntax nsa1[sl][ne_evaluate(expr)[sl]].