I forgot to add the basic code needed for backwards compatibility with NRAR-format waveform files, so that modes can be indexed as "Y_l2_m2.dat" or whatever, in analogy with how Horizons objects work. It would also be nice to return a subclassed dict when the user doesn't specify the extrapolation level, so that this indexing can even work from the top level, as in
with sxs.loadcontext("SXS:BBH:0123/Lev/rhOverM") as f:
h22 = f["OutermostExtraction.dir/Y_l2_m2.dat"]
I forgot to add the basic code needed for backwards compatibility with NRAR-format waveform files, so that modes can be indexed as "Y_l2_m2.dat" or whatever, in analogy with how
Horizonsobjects work. It would also be nice to return a subclasseddictwhen the user doesn't specify the extrapolation level, so that this indexing can even work from the top level, as in