Title: | Making "Deduplicated" Functions |
---|---|
Description: | Contains one main function deduped() which speeds up slow, vectorized functions by only performing computations on the unique values of the input and expanding the results at the end. |
Authors: | Or Gadish [aut, cre, cph] |
Maintainer: | Or Gadish <[email protected]> |
License: | MIT + file LICENSE |
Version: | 0.2.0 |
Built: | 2024-11-17 03:39:29 UTC |
Source: | https://github.com/orgadish/deduped |
Converts a vectorized function into one that only performs the computations on unique values in the first argument. The result is then expanded so that it is the same as if the computation was performed on all elements.
deduped(f)
deduped(f)
f |
Function that accepts a vector or list as its first input. |
Deduplicated version of f
.
x <- sample(LETTERS, 10) x large_x <- sample(rep(x, 10)) length(large_x) slow_func <- function(x) { for (i in x) { Sys.sleep(0.001) } } system.time({ y1 <- slow_func(large_x) }) system.time({ y2 <- deduped(slow_func)(large_x) }) all(y1 == y2)
x <- sample(LETTERS, 10) x large_x <- sample(rep(x, 10)) length(large_x) slow_func <- function(x) { for (i in x) { Sys.sleep(0.001) } } system.time({ y1 <- slow_func(large_x) }) system.time({ y2 <- deduped(slow_func)(large_x) }) all(y1 == y2)
DEPRECATED as of deduped 0.2.0.
Please use deduped(lapply)()
or deduped(purrr::map)()
instead.
deduped_map(.x, .f, ..., .progress = FALSE)
deduped_map(.x, .f, ..., .progress = FALSE)
.x |
A list or atomic vector. |
.f |
A function, specified in one of the following ways:
|
... |
Additional arguments passed on to the mapped function. We now generally recommend against using # Instead of x |> map(f, 1, 2, collapse = ",") # do: x |> map(\(x) f(x, 1, 2, collapse = ",")) This makes it easier to understand which arguments belong to which function and will tend to yield better error messages. |
.progress |
Whether to show a progress bar. Use |
A list whose length is the same as the length of the input,
matching the output of purrr::map()
.