A decorator is a function that receives a function, extends its behaviour, and returned the altered function. Any caller that uses the decorated function uses the same interface as it were the original, undecorated function.
# Running the original Sys.sleep() produces no output
Sys.sleep(0.1)
# Decorating the Sys.sleep() with time_it() measures Sys.sleep() execution time
# and outputs the measurement
Sys.sleep <- decorators::time_it(base::Sys.sleep)
Sys.sleep(0.1)
#> Time difference of 0.11 secs
## Define a functions that averages two numbers
average_two_numbers <- function(a = NA_real_, b = NA_real_) mean(c(a, b))
## Before: Averaging two nun-numeric values returns NA and prompts a warning
average_two_numbers(a = "1", b = "2")
#> [1] NA
## Decorating average_two_numbers() with validate_arguments() checks input types
average_two_numbers <- decorators::validate_arguments(average_two_numbers)
## After: Averaging two nun-numeric prompts an informative error
average_two_numbers(a = "1", b = "2")
#> Error in average_two_numbers(a = "1", b = "2") :
#> a is of type `character` rather than `numeric`!
You can install the released version of decorators
from CRAN with:
install.packages("decorators")
And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("tidylab/decorators")