bilby/gw/likelihood.py: speed up the spline interpolation in ROQ

This MR speeds up the spline interpolation of d_inner_h_tc_array in ROQ.

Since it is apriori known that the time interval of samples is constant and 5 samples are used, the spline method tuned for that case is much faster than scipy.interpolate.interp1d. The algorithm is described in https://dcc.ligo.org/LIGO-T2100224. This change speeds up the interpolation by a factor of ~8. This can be a significant speedup for compact ROQ bases. For example, this change speeds up the overall ROQ likelihood evaluation by a factor of ~2 for PhenomD bases with size of ~70.

added Efficiency ROQ labels

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• 0089c330 - bilby/gw/likelihood.py: speed up the spline interpolation in ROQ

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• 43f1f910 - bilby/gw/likelihood.py: speed up the spline interpolation in ROQ

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marked this merge request as ready

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• d78ca381 - bilby/gw/likelihood.py: do not define multiple variables in a single line
• de3aa4b4 - bilby/gw/likelihood.py: round down the closest time sample in ROQ

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@colm.talbot I have addressed your comments (including those on multiple definitions in a single line).

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approved this merge request

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mentioned in commit 59a48307

mentioned in merge request !987 (closed)

mentioned in merge request !1241 (merged)