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Description
Consider a silly table:
afun <- function(df, .var) {
vals <- tapply(df[[.var]], df$Species, mean)
in_rows(.list = vals)
}
lyt <- basic_table() |>
analyze("Sepal.Width", afun = afun)
tbl <- build_table(lyt, iris)
> tbl
all obs
————————————————————
setosa 3.428
versicolor 2.77
virginica 2.974
With a pruning function which prunes rows whose values are less than 2.8 (so 2 will be kept and one will be pruned)
prun_fun <- function(tt) {
print(obj_name(tt))
unlist(cell_values(tt)) < 2.8
}
our pruning function is only called once on the row that is pruned, but is called twice on the ones that are kept:
> prune_table(tbl, prun_fun)
[1] "setosa"
[1] "versicolor"
[1] "virginica"
[1] "setosa"
[1] "virginica"
all obs
———————————————————
setosa 3.428
virginica 2.974
This isn't an issue of incorrect results (provide the pruning function is deterministic, which it really should be), but it is kind of silly that we are doing an identical thing twice. This (can be) much more of a real issue while #1035 remains unresolved, as that can make pruning functions overly expensive.