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We should also be able to return indices-only, rather than just values, or indices-and-values as is the case now
To use the above selection, we should make sure we are efficient with the code, not reading in additional datasets which are not needed.
I think we could do this by having a dictionary in ranking.py which stores which datasets are used by each statistic. That list can be used as a reference in this function.
mask_loudest_to_n_triggers should have the same functionality, acting on triggers rather than the file though
The text was updated successfully, but these errors were encountered:
Ian pointed out that sometimes datasets aren't made if they aren't requested in the inspiral jobs - the 'used_datasets' dictionary should be able to handle this, but we should make sure of this
The select function in HFile should be able to use any sngl-ranking statistic directly.
We should also be able to return indices-only, rather than just values, or indices-and-values as is the case now
To use the above selection, we should make sure we are efficient with the code, not reading in additional datasets which are not needed.
ranking.py
which stores which datasets are used by each statistic. That list can be used as a reference in this function.mask_loudest_to_n_triggers should have the same functionality, acting on triggers rather than the file though
The text was updated successfully, but these errors were encountered: