# Changing and restoring state

    library(withr)

This article explains the type of problem withr solves and shows typical patterns of usage. It also compares withr’s functionality to the `on.exit()` function from base R.

## It’s dangerous to change state

Whenever possible, it is desirable to write so-called pure functions. The property we focus on here is that the function should not change the surrounding R landscape, i.e. it should not change things like the search path, global options, or the working directory. If the behaviour of other functions differs before and after running your function, you’ve modified the landscape. Changing the landscape is bad because it makes code much harder to understand.

Here’s a `sloppy()` function that prints a number with a specific number of significant digits, by adjusting R’s global “digits” option.

    sloppy <- function(x, sig_digits) {
      options(digits = sig_digits)
      print(x)
    }

    pi
    #> [1] 3.141593

    sloppy(pi, 2)
    #> [1] 3.1

    pi
    #> [1] 3.1

Notice how `pi` prints differently before and after the call to `sloppy()`? Calling `sloppy()` has a side effect: it changes the “digits” option globally, not just within its own scope of operations. This is what we want to avoid.

Don’t worry, we’re restoring global state (specifically, the “digits” option) behind the scenes here.

Sometimes you cannot avoid modifying the state of the world, in which case you just have to make sure that you put things back the way you found them. This is what the withr package is for.

## The base solution: `on.exit()`

The first function to know about is base R’s `on.exit()`. Inside your function body, every time you do something that should be undone on exit, you immediately register the cleanup code with `on.exit(expr, add = TRUE)`1.

`neat()` is an improvement over `sloppy()`, because it uses `on.exit()` to ensure that the “digits” option is restored to its original value.

    neat <- function(x, sig_digits) {
      op <- options(digits = sig_digits)
      on.exit(options(op), add = TRUE)
      print(x)
    }

    pi
    #> [1] 3.141593

    neat(pi, 2)
    #> [1] 3.1

    pi
    #> [1] 3.141593

`on.exit()` also works when you exit the function abnormally, i.e. due to error. This is why official tools, like `on.exit()`, are a better choice than any do-it-yourself solution to this problem.

`on.exit()` is a very useful function, but it’s not very flexible. The withr package provides an extensible `on.exit()`-inspired toolkit.

## `defer()` is the foundation of withr

`defer()` is the core function of withr and is very much like `on.exit()`, i.e. it schedules the execution of arbitrary code when the current function exits:

    neater <- function(x, sig_digits) {
      op <- options(digits = sig_digits)
      defer(options(op))
      print(x)
    }

    pi
    #> [1] 3.141593

    neater(pi, 2)
    #> [1] 3.1

    pi
    #> [1] 3.141593

`withr::defer()` is basically a drop-in substitute for `on.exit()`, but with three key differences we explore below:

1. Different default behaviour around the effect of a series of two or more calls
2. Control over the environment the deferred events are associated with
3. Ability to work with the global environment

Here we focus on using withr inside your functions. See the blog post Self-cleaning test fixtures or the testthat vignette Test fixtures for how to use withr inside tests.

## Last-in, first-out

If you make more than one call to `defer()`, by default, it adds expressions to the top of the stack of deferred actions.

    defer_stack <- function() {
      cat("put on socks\n")
      defer(cat("take off socks\n"))

      cat("put on shoes\n")
      defer(cat("take off shoes\n"))
    }
    defer_stack()
    #> put on socks
    #> put on shoes
    #> take off shoes
    #> take off socks

In contrast, by default, a subsequent call to `on.exit()` overwrites the deferred actions registered in the previous call.

    on_exit_last_one_wins <- function() {
      cat("put on socks\n")
      on.exit(cat("take off socks\n"))

      cat("put on shoes\n")
      on.exit(cat("take off shoes\n"))
    }
    on_exit_last_one_wins()
    #> put on socks
    #> put on shoes
    #> take off shoes

Oops, we still have our socks on! The last-in, first-out, stack-like behaviour of `defer()` tends to be what you want in most applications.

To get such behaviour with `on.exit()`, remember to call it with `add = TRUE, after = FALSE` 2.

    on_exit_stack <- function() {
      cat("put on socks\n")
      on.exit(cat("take off socks\n"), add = TRUE, after = FALSE)

      cat("put on shoes\n")
      on.exit(cat("take off shoes\n"), add = TRUE, after = FALSE)
    }
    on_exit_stack()
    #> put on socks
    #> put on shoes
    #> take off shoes
    #> take off socks

Conversely, if you want `defer()` to have first-in, first-out behaviour, specify `priority = "last"`.

    defer_queue <- function() {
      cat("Adam gets in line for ice cream\n")
      defer(cat("Adam gets ice cream\n"), priority = "last")

      cat("Beth gets in line for ice cream\n")
      defer(cat("Beth gets ice cream\n"), priority = "last")
    }
    defer_queue()
    #> Adam gets in line for ice cream
    #> Beth gets in line for ice cream
    #> Adam gets ice cream
    #> Beth gets ice cream

## “Local” functions (and “with” functions)

Both `on.exit()` and `withr::defer()` schedule actions to be executed when a certain environment goes out of scope, most typically the execution environment of a function. But the `envir` argument of `withr::defer()` lets you specify a different environment, which makes it possible to create customised `on.exit()` extensions.

Let’s look at the `neater()` function again.

    neater <- function(x, sig_digits) {
      op <- options(digits = sig_digits) # record orig. "digits" & change "digits"
      defer(options(op))                 # schedule restoration of "digits"

      print(x)
    }

The first two lines are typical `on.exit()` maneuvers where, in some order, you record an original state, arrange for its eventual restoration, and change it. In real life, this can be much more involved and you might want to wrap this logic up into a helper function. You can’t wrap `on.exit()` in this way, because there’s no way to reach back up into the correct parent frame and schedule cleanup there. But with `defer()`, we can! Here is such a custom helper, called `local_digits()`.

    local_digits <- function(sig_digits, envir = parent.frame()) {
      op <- options(digits = sig_digits)
      defer(options(op), envir = envir)
    }

We can use `local_digits()` to keep any manipulation of `digits` local to a function.

    neato <- function(x, digits) {
      local_digits(digits)
      print(x)
    }

    pi
    #> [1] 3.141593

    neato(pi, 2)
    #> [1] 3.1

    neato(pi, 4)
    #> [1] 3.142

You can even call `local_digits()` multiple times inside a function. Each call to `local_digits()` is in effect until the next or until the function exits, which ever comes first.

    neatful <- function(x) {
      local_digits(1)
      print(x)
      local_digits(3)
      print(x)
      local_digits(5)
      print(x)
    }

    neatful(pi)
    #> [1] 3
    #> [1] 3.14
    #> [1] 3.1416

Certain state changes, such as modifying global options, come up so often that withr offers pre-made helpers. These helpers come in two forms: `local_*()` functions, like the one we just made, and `with_*()` functions, which we explain below. Here are the state change helpers in withr that you are most likely to find useful:

Do / undo this | withr functions
--- | ---
Set an R option | `local_options()`,`with_options()`
Set an environment variable | `local_envvar()`, `with_envvar()`
Change working directory | `local_dir()`, `with_dir()`
Set a graphics parameter | `local_par()`, `with_par()`

We didn’t really need to write our own `local_digits()` helper, because the built-in `withr::local_options()` also gets the job done:

    neatest <- function(x, sig_digits) {
      local_options(list(digits = sig_digits))
      print(x)
    }

    pi
    #> [1] 3.141593

    neatest(pi, 2)
    #> [1] 3.1

    neatest(pi, 4)
    #> [1] 3.142

The `local_*()` functions target a slightly different use case from the `with_*()` functions, which are inspired by base R’s `with()` function:

- `with_*()` functions are best for executing a small snippet of code with a modified state

      neat_with <- function(x, sig_digits) {
        # imagine lots of code here
        withr::with_options(
          list(digits = sig_digits),
          print(x)
        )
        # ... and a lot more code here
      }

- `local_*()` functions are best for modifying state “from now until the function exits”

      neat_local <- function(x, sig_digits) {
        withr::local_options(list(digits = sig_digits))
        print(x)
        # imagine lots of code here
      }

It’s best to minimize the footprint of your state modifications. Therefore, use `with_*()` functions where you can. But when this forces you to put lots of (indented) code inside `with_*()`, e.g. most of your function’s body, then it’s better to use `local_*()`.

## Deferring events on the global environment

Here is one last difference between `withr::defer()` and `on.exit()`: the ability to defer events on the global environment3.

At first, it sounds pretty weird to propose scheduling deferred actions on the global environment. It’s not ephemeral, the way function execution environments are. It goes out of scope very rarely, i.e. when you exit R. Why would you want this?

The answer is: for development purposes.

If you are developing functions or tests that use withr, it’s very useful to be able to execute that code interactively, without error, and with the ability to trigger the deferred events. It’s hard to develop with functions that work one way inside a function, but another way in the global environment (or, worse, throw an error).

Here’s how `defer()` (and all functions based on it) works in an interactive session.

    library(withr)

    defer(print("hi"))

    pi
    #> [1] 3.141593

    # this adds another deferred event, but does not re-message
    local_digits(3)

    pi
    #> [1] 3.14

    deferred_run()
    #> [1] "hi"
    #> Ran 2/2 deferred expressions

    pi
    #> [1] 3.141593

Note that because this example is running in a vignette, it doesn’t look exactly the same as what you’ll see interactively. When you defer events on the global environment for the first time, you get this message that alerts you to the situation:

    defer(print("hi"))
    #> Setting global deferred event(s).
    #> i These will be run:
    #>   * Automatically, when the R session ends.
    #>   * On demand, if you call `withr::deferred_run()`.
    #> i Use `withr::deferred_clear()` to clear them without executing.

If you add subsequent events, the message is not repeated. Since the global environment isn’t perishable, like a test environment is, you have to call `deferred_run()` explicitly to execute the deferred events. You can also clear them, without running, with `deferred_clear()`.

1. It’s too bad `add = TRUE` isn’t the default, because you almost always want this. Without it, each call to `on.exit()` clobbers the effect of previous calls.↩︎

2. Note: the `after` argument of `on.exit()` first appeared in R 3.5.0.↩︎

3. This feature first appeared in withr v2.2.0.↩︎