Benchmarks

library(tinycodet)
#> Run `?tinycodet::tinycodet` to open the introduction help page of 'tinycodet'.
loadNamespace("bench")
#> <environment: namespace:bench>
loadNamespace("ggplot2")
#> <environment: namespace:ggplot2>

 

Introduction

Some effort has been made to ensure the functions in ‘tinycodet’ are well optimized. The string related functions, for example, are about in the same order of magnitude in terms of speed as the stringi functions they call.

Here some speed comparisons are given, using the ‘bench’ package.

 

stri_locate_ith

stri_locate_ith() has about the same performance as stri_locate_all():

n <- 5e4
x <- rep(paste0(1:50, collapse = ""), n)
p <- "\\d"
i <- sample(c(-50:-1, 1:50), replace=TRUE, size = n)
bm.stri_locate_ith_vs_all <- bench::mark(
  "stri_locate_ith" = stri_locate_ith_regex(x, p, i),
  "stringi::stri_locate_all" = stringi::stri_locate_all(x, regex = p),
  min_iterations = 500,
  check = FALSE,
  filter_gc = FALSE
)
ggplot2::autoplot(bm.stri_locate_ith_vs_all)

#> Loading required namespace: tidyr

 

strcut

n <- 1e5
x <- rep("hello", n)
i <- sample(1:3, n, replace = TRUE)
loc <- stri_locate_ith(x, i=i, regex="a|e|i|o|u")
bm.strcut <- bench::mark(
  "strcut_loc" = { strcut_loc(x, loc) },
  "strcut_brk" = { strcut_brk(x, type = "", tolist = TRUE) },
  "stringi::stri_split_boundaries" = {
    stringi::stri_split_boundaries(x, type="character")
  },
  min_iterations = 500,
  check = FALSE,
  filter_gc = FALSE
)
ggplot2::autoplot(bm.strcut)

 

Row/columns-wise re-ordering

tempfun <- function(x, margin) {
  if(margin == 1) {
    for(i in 1:nrow(x)) x[i,] <- sort(x[i,])
    return(x)
  }
  if(margin == 2) {
    for(i in 1:ncol(x)) x[,i] <- sort(x[,i])
    return(x)
  }
}

mat <- matrix(sample(seq_len(n^2)), ncol = n)
bm.roworder <- bench::mark(
  tinycodet = mat %row~% mat,
  "base R" = tempfun(mat, 1),
  min_iterations = 250
)
ggplot2::autoplot(bm.roworder)

bm.colorder <- bench::mark(
  tinycodet = mat %col~% mat,
  "base R" = tempfun(mat, 2),
  min_iterations = 250
)
ggplot2::autoplot(bm.colorder)