Avoid redundant work in _compute_single_neighbor_list for full neighbor list

[sirmarcel]

This avoids doing unnecessary work if a full neighborlist is requested -- we don't have to filter for half first, then restore.

With the attached benchmark script (run.py), on my MacBook (M3 Max), with the first number the timing for _compute_single_neighbor_list, and the second for a plain call to vesin:

before

125 atoms 2.089986652135849µs/atom 0.7555699907243252µs/atom 1000 atoms 1.611151669640094µs/atom 0.9999045799486339µs/atom 3375 atoms 1.7297576533423529µs/atom 1.0932425926956866µs/atom 

after

125 atoms 1.4709333702921867µs/atom 0.7579967193305492µs/atom 1000 atoms 1.1619366705417633µs/atom 1.0076149995438755µs/atom 3375 atoms 1.233055185250662µs/atom 1.1272704918627385µs/atom 

This is an about 30% improvement in execution time.

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[sirmarcel]

I don't understand why the GAP test is failing.

[frostedoyster]

@sirmarcel it's likely that, since GAP is the only architecture using half NLs, the half NL code is somewhat wrong