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"forderv(retGrp=%s) improved in #4386", retGrp_chr
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)]] <-list(
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setup= quote({
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dt<- data.table(group= rep(1:2, l=N))
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}),
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expr= substitute({
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old.opt<- options(datatable.forder.auto.index=TRUE) # required for test, un-documented, comments in forder.c say it is for debugging only.
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data.table:::forderv(dt, "group", retGrp=RETGRP)
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options(old.opt) # so the option does not affect other tests.
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}, list(RETGRP=eval(str2lang(retGrp_chr)))),
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## From ?bench::mark, "Each expression will always run at least twice,
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## once to measure the memory allocation and store results
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## and one or more times to measure timing."
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## So for atime(times=10) that means 11 times total.
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## First time for memory allocation measurement,
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## (also sets the index of dt in this example),
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## then 10 more times for time measurement.
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## Timings should be constant if the cached index is used (Fast),
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## and (log-)linear if the index is re-computed (Slow).
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Slow="b1b1832b0d2d4032b46477d9fe6efb15006664f4", # Parent of the first commit (https://github.com/Rdatatable/data.table/commit/b0efcf59442a7d086c6df17fa6a45c81b082322e) in the PR (https://github.com/Rdatatable/data.table/pull/4386/commits) where the performance was improved.
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Fast="ffe431fbc1fe2d52ed9499f78e7e16eae4d71a93"# Last commit of the PR (https://github.com/Rdatatable/data.table/pull/4386/commits) where the performance was improved.
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)
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# A list of performance tests.
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#
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# See documentation in https://github.com/Rdatatable/data.table/wiki/Performance-testing for best practices.
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