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with the current method there is no first LW computed even if the timeseries would start with 3/4/5, since that function starts with the first HW. This could be avoided by adding a dummy HW at the start of the timeseries, although in case of only 5 that might result in a wrong LW. >> leave this be
there is an exception included to continue if the last HW is also the last value of the timeseries. This is not necessary since it is already catched by len(tide_afterHW)==0 so this can be removed >> this is an exception to ignore missing LW's, which is useful to keep
code cleanups
expand test coverage with specific testcases
The text was updated successfully, but these errors were encountered:
Todo:
len(tide_afterHW)==0
so this can be removed >> this is an exception to ignore missing LW's, which is useful to keepThe text was updated successfully, but these errors were encountered: