super

In super: Interpreted String Literals

litedown::reactor(print = NA)

Overview

super is a fork / reimplementation of the glue package with a focus on efficiency and simplicity at a cost of flexibility.

::: {.callout-important data-legend="Differences from glue"}

• super::glue() takes only two arguments: A character string that is used as a template and an environment to look up the embraced inputs. There is no option to change the delimiters from being a pair of braces (e.g. {name}).

• Embraced inputs are always looked up in the provided environment (akin to calling get()) and are not evaluated. This is similar to glue::glue_safe() and glue::glue_data_safe() but note that this is not the default behaviour of glue::glue().

• super::glue() does not trim inputs. Instead this is done by either the function super::glut() or explicitly by glue(trim(x)).

• super::glue() returns an unclassed character vector whereas glue::glue() returns a <glue> object and provides a variety of methods to work on that object.

• At present, super::glue() does not provide any allowance for different handling of NA and NULL values, instead following the behaviour of paste().

• Recycling of embraced arguments currently follows standard R recycling rules where the arguments will be recycled to the length of the longest one.

• glue::glue() arguments (and their associated behaviours) .comment, .literal and .transformer are not implemented.

:::

Examples

library(super)

Simple concatenation

bar <- "baz"
glue("foo{bar}")

list-like input

dat <- head(cbind(car = rownames(mtcars), mtcars))
glue("{car} does {mpg} mpg.", dat)

Trimmed output

name <- "Fred"
age <- 50
anniversary <- as.Date("1991-10-12")
out <- glut("
    My name is {name},
    my age next year is {age},
    my anniversary is {anniversary}.
")
cat(out)

Partially vectorised

Over embraced arguments

head(glue("Item {LETTERS}"))

But not over input strings (yet)

glue(letters)

Relative timing benchmarks

library(microbenchmark)

Simple concatenation

bar <- "baz"
bob <- 20

microbenchmark(
    sprintf    = sprintf("foo%s %d", bar, bob),
    paste0     = paste0("foo", bar, " ", bob),
    super   = super::glue("foo{bar} {bob}"),
    glue    = as.character(glue::glue_safe("foo{bar} {bob}", .trim = FALSE)),
    unit    = "relative",
    check   = "identical"
)

Data frame input

dat <- head(cbind(car = rownames(mtcars), mtcars))

microbenchmark(
    sprintf = with(dat, sprintf("%s does %.3g mpg.", car, mpg)),
    paste0  = with(dat, paste(car, "does", mpg, "mpg.")),
    super   = super::glue("{car} does {mpg} mpg.", dat),
    glue    = as.character(glue::glue_data(dat, "{car} does {mpg} mpg.")),
    unit    = "relative",
    check   = "identical"
)

Trimmed output

microbenchmark(
    super   = super::glut("
                  My name is {name},
                  my age next year is {age},
                  my anniversary is {anniversary}.
              "),
    glue    = as.character(glue::glue("
                  My name is {name},
                  my age next year is {age},
                  my anniversary is {anniversary}.
              ")),
    unit    = "relative",
    check   = "identical"
)

Vectorized performance

For larger input with both glue::glue() and super::glue(), the performance becomes dominated by the internally constructed call to paste0(), hence the convergence observed below.

bar <- rep("baz", 1e5)
microbenchmark(
    sprintf    = sprintf("foo%s %d", bar, bob),
    paste0     = paste0("foo", bar, " ", bob),
    super   = super::glue("foo{bar} {bob}"),
    glue    = as.character(glue::glue_safe("foo{bar} {bob}", .trim = FALSE)),
    unit    = "relative",
    check   = "identical"
)

super documentation built on April 4, 2025, 2:08 a.m.