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(pronounced “fleer” as in “beer”)


ℹ️ Until v0.2.1 (included), this package was named flint. In v0.3.0, it was renamed flir.


flir is a small R package to find and replace lints in R code.

  • Lints detection with lint()
  • Automatic replacement of lints with fix()
  • Compatibility with (some) lintr rules
  • Fast

flir is powered by astgrepr, which is itself built on the Rust crate ast-grep.

Installation

install.packages('flir', repos = c('https://etiennebacher.r-universe.dev', 'https://cloud.r-project.org'))

Note: using remotes::install_github(), devtools::install_github(), or pak::pak() without specifying the R-universe repo will require you to setup Rust to build the package.

Usage

Optional setup:

  • setup_flir(): creates the folder flir and populates it with built-in rules as well as a cache file. You can modify those rules or add new ones if you want more control.

You can use flir as-is, without any setup. However, running setup_flir() enables the use of caching, meaning that the subsequent runs will be faster. It is also gives you a place where you can store custom rules for your project/package.

The everyday usage consists of two functions:

  • lint() looks for lints in R files;
  • fix() looks for lints in R files and automatically applies their replacement (if any).

One can also experiment with flir::lint_text() and flir::fix_text():

flir::lint_text(
  "
any(is.na(x))
any(duplicated(y))
"
)
#> Original code: any(is.na(x)) 
#> Suggestion: anyNA(x) is better than any(is.na(x)). 
#> Rule ID: any_na-1 
#> 
#> Original code: any(duplicated(y)) 
#> Suggestion: anyDuplicated(x, ...) > 0 is better than any(duplicated(x), ...). 
#> Rule ID: any_duplicated-1
flir::fix_text(
  "
any(is.na(x))
any(duplicated(y))
"
)
#> Old code:
#> any(is.na(x))
#> any(duplicated(y))
#> 
#> New code:
#> anyNA(x)
#> anyDuplicated(y) > 0

Real-life examples

I tested flir on several packages while developing it. I proposed some pull requests for those packages. Here are a few:

Except for some manual tweaks when the replacement was wrong (I was testing flir after all), all changes were generated by flir::fix_package() or flir::fix_dir(<dirname>).

Comparison with existing tools

The most used tool for lints detection in R is lintr. However, lintr’s performance is not optimal when it is applied on medium to large packages. Also, lintr cannot perform automatic replacement of lints.

styler is a package to clean code by fixing indentation and other things, but doesn’t perform code replacement based on lints.

flir is quite performant. This is a small benchmark on 3.5k lines of code with a few linters:

file <- system.file("bench/test.R", package = "flir")

bench::mark(
  lintr = lintr::lint(
    file,
    linters = list(
      lintr::any_duplicated_linter(),
      lintr::any_is_na_linter(),
      lintr::matrix_apply_linter(),
      lintr::function_return_linter(),
      lintr::lengths_linter(),
      lintr::T_and_F_symbol_linter(),
      lintr::undesirable_function_linter(),
      lintr::expect_length_linter()
    )
  ),
  flir = flir::lint(
    file,
    linters = list(
      flir::any_duplicated_linter(),
      flir::any_is_na_linter(),
      flir::matrix_apply_linter(),
      flir::function_return_linter(),
      flir::lengths_linter(),
      flir::T_and_F_symbol_linter(),
      flir::undesirable_function_linter(),
      flir::expect_length_linter()
    ),
    verbose = FALSE,
    open = FALSE
  ),
  check = FALSE
)
#> Warning: Some expressions had a GC in every iteration; so filtering
#> is disabled.
#> # A tibble: 2 × 6
#>   expression      min   median `itr/sec` mem_alloc `gc/sec`
#>   <bch:expr> <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
#> 1 lintr         2.97s    2.97s     0.337  315.05MB     2.36
#> 2 flir       180.79ms 181.69ms     5.43     1.85MB     0

Why the name “flir”?

flir was originally named flint but I had to rename it to avoid conflicts with a package named flint on CRAN.

flir stands for “Fix Lints In R”.

Contributing

Did you find some bugs or some errors in the documentation? Do you want flir to support more rules?

Take a look at the contributing guide for instructions on bug report and pull requests.

Acknowledgements

The website theme was heavily inspired by Matthew Kay’s ggblend package: https://mjskay.github.io/ggblend/.