Group signals only once per Block

[achilleas-k]

The _group_signals() method is called once per Group/Segment

python-neo/neo/io/nixio.py

Line 283 in 6bda789

dataarrays = self._group_signals(dataarrays)

and then a final time in each Block to find "groupless" signals:

python-neo/neo/io/nixio.py

Line 242 in 6bda789

blockdas = self._group_signals(nix_block.data_arrays)

It's not generally a slow process. There's a sorting going on in the method which is going to be removed soon (see NeuralEnsemble#545) and ignoring that, it's an O(N) function. Now, N is the number of signals first in a Group/Segment, and then for the whole Block, so all in all the entire reading process reads through the DataArrays twice. Since we're reading all the DataArrays in a Block anyway, we might as well collect them before descending into a Group and use a per-block collection/grouping of signals.