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title: "Customizing styler"
author: "Lorenz Walthert"
date: "8/10/2017"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{Customizing styler}
This vignette provides a high-level overview of how styler works and how you
can define your own style guide and format code according to it.
# How styler works
There are three major steps that styler performs in order to style code:
1. Create an abstract syntax tree (AST) from `utils::getParseData()` that
contains positional information for every token. We call this a nested parse
table. You can learn more about how exactly this is done in the vignettes
"Data Structures" and "Manipulating the nested parse table".
2. Apply transformer functions at each level of the nested parse table. We use a
visitor approach, i.e. a function that takes functions as arguments and
applies them to every level of nesting. You can find out more about it on
the help file for `visit()`. Note that the function is not exported by styler.
The visitor will take care of applying the functions on every
level of nesting - and we can supply transformer functions that operate on
one level of nesting. In the sequel, we use the term *nest* to refer to
such a parse table at one level of nesting. A *nest* always represents a
complete expression. Before we apply the transformers, we have to initialize
two columns `lag_newlines` and `spaces`, which contain
the number of line breaks before the token and the number of spaces
after the token. These will be the columns that most of our transformer
functions will modify.
3. Serialize the nested parse table, that is, extract the terminal tokens from
the nested parse table and add spaces and line breaks between them as
specified in the nested parse table.
The `transformers` argument is, apart from the code to style, the key argument
of functions such as `style_text()` and friends. By default, it is created
via the `style` argument. The transformers are a named list of transformer
functions and other arguments passed to styler. To use the default style guide
of styler ([the tidyverse style guide](, call
`tidyverse_style()` to get the list of the transformer functions. Let's quickly
look at what those are.
```{r, message = FALSE}
str(tidyverse_style(), give.attr = FALSE, list.len = 3)
We note that there are different types of transformer functions. `initialize`
initializes some variables in the nested parse table (so it is not actually a
transformer), and the other elements modify either spacing, line breaks or
tokens. `use_raw_indention` is not a function, it is just an option. All
transformer functions have a similar structure. Let's take a look at one:
As the name says, this function removes spaces after the opening parenthesis.
But how? Its input is a *nest*. Since the visitor will go through all levels of
nesting, we just need a function that can be applied to a *nest*, that is, to a
parse table at one level of nesting. We can compute the nested parse table and
look at one of the levels of nesting that is interesting for us (more on the
data structure in the vignettes "Data structures" and "Manipulating the parse
string_to_format <- "call( 3)"
pd <- styler:::compute_parse_data_nested(string_to_format) %>%
pd$child[[1]] %>%
select(token, terminal, text, newlines, spaces)
`default_style_guide_attributes()` is called to initialize some variables, it does not actually
transform the parse table.
All the function `remove_space_after_opening_paren()` now does is to look for
the opening bracket and set the column `spaces` of the token to zero. Note that
it is very important to check whether there is also a line break following after
that token. If so, `spaces` should not be touched because of the way `spaces`
and `newlines` are defined. `spaces` are the number of spaces after a token and
`newlines`. Hence, if a line break follows, spaces are not EOL spaces, but
rather the spaces directly before the next token. If there was a line break
after the token and the rule did not check for that, indention for the token
following `(` would be removed. This would be unwanted for example if
`use_raw_indention` is set to `TRUE` (which means indention should not be
touched). If we apply the rule to our parse table, we can see that the column
`spaces` changes and is now zero for all tokens:
styler:::remove_space_after_opening_paren(pd$child[[1]]) %>%
select(token, terminal, text, newlines, spaces)
All top-level styling functions have a `style` argument (which defaults
to `tidyverse_style`). If you check out the help file, you can see that the
argument `style` is only used to create the default `transformers` argument,
which defaults to `style(...)`. This allows for the styling options to be
set without having to specify them inside the function passed to `transformers`.
Let's clarify this with an example. The following yields the same result:
style_text(string_to_format, transformers = tidyverse_style(strict = FALSE)),
style_text(string_to_format, style = tidyverse_style, strict = FALSE),
style_text(string_to_format, strict = FALSE),
Now let's do the whole styling of a string with just this one transformer
introduced above. We do this by first creating a style guide with the designated
wrapper function `create_style_guide()`. It takes transformer functions as input
and returns them in a named list that meets the formal requirements for styling
space_after_opening_style <- function(are_you_sure) {
create_style_guide(space = tibble::lst(remove_space_after_opening_paren =
if (are_you_sure) styler:::remove_space_after_opening_paren
style_text("call( 1,1)", style = space_after_opening_style, are_you_sure = FALSE)
Well, we probably want:
style_text("call( 1,1)", style = space_after_opening_style, are_you_sure = TRUE)
Note that the return value of your `style` function may not contain `NULL`
I hope you have acquired a basic understanding of how styler transforms code.
You can provide your own transformer functions and use `create_style_guide()`
to create customized code styling. If you do so, there are a few more things you
should be aware of, which are described in the next section.
# Implementation details
For both spaces and line break information in the nested parse table, we use
four attributes in total: `newlines`, `lag_newlines`, `spaces`, and
`lag_spaces`. `lag_spaces` is created from `spaces` only just before the parse
table is serialized, so it is not relevant for manipulating the parse table as
described above. These columns are to some degree redundant, but with just lag
or lead, we would lose information on the first or the last element
respectively, so we need both.
The sequence in which styler applies rules on each level of nesting is given in
the list below:
* call `default_style_guide_attributes()` to initialize some variables.
* modify the line breaks (modifying `lag_newlines` only based on
`token`, `token_before`, `token_after` and `text`).
* modify the spaces (modifying `spaces` only based on `lag_newlines`,
`newlines`, `multi_line`, `token`, `token_before`, `token_after` and `text`).
* modify the tokens (based on `newlines` `lag_newlines`, `spaces` `multi_line`,
`token`, `token_before`, `token_after` and `text`).
* modify the indention by changing `indention_ref_id` (based on `newlines`
`lag_newlines`, `spaces` `multi_line`, `token`, `token_before`, `token_after`
and `text`).
You can also look this up in the function that applies the transformers:
This means that the order of the styling is clearly defined and it is for
example not possible to modify line breaks based on spacing, because spacing
will be set after line breaks are set. Do not rely on the column `col1`,
`col2`, `line1` and `line2` in the parse table in any of your functions since
these columns only reflect the position of tokens at the point of parsing,
i.e. they are not kept up to date throughout the process of styling.
Also, as indicated above, work with `lag_newlines` only in your line break
rules. For development purposes, you may also want to use the unexported
function `test_collection()` to help you with testing your style guide. You can
find more information in the help file for the function.
If you write functions that modify spaces, don't forget to make sure that you
don't modify EOL spacing, since that is needed for `use_raw_indention`, as
highlighted previously.
Finally, take note of the naming convention. All function names starting with
`set-*` correspond to the `strict` option, that is, setting some value to an
exact number. `add-*` is softer. For example, `add_spaces_around_op()`, only
makes sure that there is at least one space around operators, but if the
code to style contains multiple, the transformer will not change that.
# Showcasing the development of a styling rule
For illustrative purposes, we create a new style guide that has one rule only:
Curly braces are always on a new line. So for example:
add_one <- function(x) {
x + 1
Should be transformed to:
add_one <- function(x)
x + 1
We first need to get familiar with the structure of the nested parse table.
Note that the structure of the nested parse table is not affected by the
position of line breaks and spaces. Let's first create the nested parse table.
code <- c("add_one <- function(x) { x + 1 }")
``` r
## levelName
## 1 ROOT (token: short_text [lag_newlines/spaces] {id})
## 2 °--expr: [0/0] {23}
## 3 ¦--expr: [0/1] {3}
## 4 ¦ °--SYMBOL: add_o [0/0] {1}
## 5 ¦--LEFT_ASSIGN: <- [0/1] {2}
## 6 °--expr: [0/0] {22}
## 7 ¦--FUNCTION: funct [0/0] {4}
## 8 ¦--'(': ( [0/0] {5}
## 9 ¦--SYMBOL_FORMALS: x [0/0] {6}
## 10 ¦--')': ) [0/1] {7}
## 11 °--expr: [0/0] {19}
## 12 ¦--'{': { [0/1] {9}
## 13 ¦--expr: [0/1] {16}
## 14 ¦ ¦--expr: [0/1] {12}
## 15 ¦ ¦ °--SYMBOL: x [0/0] {10}
## 16 ¦ ¦--'+': + [0/1] {11}
## 17 ¦ °--expr: [0/0] {14}
## 18 ¦ °--NUM_CONST: 1 [0/0] {13}
## 19 °--'}': } [0/0] {15}
pd <- styler:::compute_parse_data_nested(code)
The token of interest here has id number 10. Let's navigate there. Since
line break rules manipulate the lags *before* the token, we need to change
`lag_newlines` at the token "'{'".
Remember what we said above: A transformer takes a flat parse table as input,
updates it and returns it. So here it's actually simple:
set_line_break_before_curly_opening <- function(pd_flat) {
op <- pd_flat$token %in% "'{'"
pd_flat$lag_newlines[op] <- 1L
Almost done. Now, the last thing we need to do is to use `create_style_guide()`
to create our style guide consisting of that function.
set_line_break_before_curly_opening_style <- function() {
create_style_guide(line_break = lst(set_line_break_before_curly_opening))
Now you can style your string according to it.
style_text(code, style = set_line_break_before_curly_opening_style)
Note that when removing line breaks, always take care of comments, since you
don't want:
```{r, eval = FALSE}
a <- function() # comments should remain EOL
To become:
```{r, eval = FALSE}
a <- function() # comments should remain EOL {
The easiest way of taking care of that is not applying the rule if there is a
comment before the token of interest, which can be checked for within your
transformer function. The transformer function from the tidyverse style that
removes line breaks before the curly opening bracket looks as follows:
With our example function `set_line_break_before_curly_opening()` we don't need
to worry about that as we are only adding line breaks, but we don't remove them.
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