knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
options(styler.colored_print.vertical = FALSE)
styler::cache_deactivate()## Deactivated cache.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.
If you simply want to customize the tidyverse style guide to your needs,
check out vignette("styler"), to remove some rules, have a
look at vignette("remove_rules"). How to distribute a
custom style guide is described in
vignette("distribute_custom_style_guides").
There are three major steps that styler performs in order to style code:
Create an abstract syntax tree (AST) from
utils::getParseData() that contains positional information
for every token. We call this a nested parse table.
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.
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.
library("styler")
library("magrittr")
cache_deactivate()
#> Deactivated cache.
names(tidyverse_style())
#> [1] "initialize" "line_break" "space"
#> [4] "token" "indention" "use_raw_indention"
#> [7] "reindention" "style_guide_name" "style_guide_version"
#> [10] "more_specs_style_guide" "transformers_drop" "indent_character"
str(tidyverse_style(), give.attr = FALSE, list.len = 3)
#> List of 12
#> $ initialize :List of 1
#> ..$ initialize:function (pd_flat)
#> $ line_break :List of 12
#> ..$ set_line_break_around_comma_and_or :function (pd, strict)
#> ..$ set_line_break_after_assignment :function (pd)
#> ..$ set_line_break_before_curly_opening :function (pd)
#> .. [list output truncated]
#> $ space :List of 19
#> ..$ remove_space_before_closing_paren :function (pd_flat)
#> ..$ remove_space_before_opening_paren :function (pd_flat)
#> ..$ add_space_after_for_if_while :function (pd_flat)
#> .. [list output truncated]
#> [list output truncated]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:
tidyverse_style()$space$remove_space_after_opening_paren
#> function (pd_flat)
#> {
#> paren_after <- pd_flat$token %in% c("'('", "'['", "LBB")
#> if (!any(paren_after)) {
#> return(pd_flat)
#> }
#> pd_flat$spaces[paren_after & (pd_flat$newlines == 0L)] <- 0L
#> pd_flat
#> }
#> <bytecode: 0x562606a2b9d0>
#> <environment: namespace:styler>As the name says, this function removes spaces after the opening parenthesis. But how? Its input is a nest. Since the visitor will go through all levels of nesting, we just need a function that can be applied to a nest, that is, to a parse table at one level of nesting. We can compute the nested parse table and look at one of the levels of nesting that is interesting for us (more on the data structure in the vignettes “Data structures” and “Manipulating the parse table”):
string_to_format <- "call( 3)"
pd <- styler:::compute_parse_data_nested(string_to_format) %>%
styler:::pre_visit_one(default_style_guide_attributes)
cols <- c('token', 'terminal', 'text', 'newlines', 'spaces')
pd$child[[1]][, cols]
#> token terminal text newlines spaces
#> 1 expr FALSE call 0 0
#> 2 '(' TRUE ( 0 1
#> 3 expr FALSE 3 0 0
#> 4 ')' TRUE ) 0 0default_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]])[, cols]
#> token terminal text newlines spaces
#> 1 expr FALSE call 0 0
#> 2 '(' TRUE ( 0 0
#> 3 expr FALSE 3 0 0
#> 4 ')' TRUE ) 0 0All 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:
all.equal(
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),
)
#> [1] TRUENow 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 functions. We also set a
name and version of the style guide according to the convention outlined
in create_style_guide().
space_after_opening_style <- function(are_you_sure) {
create_style_guide(
space = list(remove_space_after_opening_paren =
if (are_you_sure) styler:::remove_space_after_opening_paren),
style_guide_name = "styler::space_after_opening_style@https://github.com/r-lib/styler",
style_guide_version = read.dcf(here::here("DESCRIPTION"))[, "Version"]
)
}Make sure to also disable caching during development with
cache_deactivate() because styling the same text with a
different style guide that has the same version and name will fool the
cache invalidation in the case your style guide has transformer
functions with different function bodies. Make sure to increment the
version number of your style guide with every release. It should
correspond to the version of the package from which you export your
style guide.
We can not try the style guide:
style_text("call( 1,1)", style = space_after_opening_style, are_you_sure = TRUE)
#> call(1,1)Note that the return value of your style function may
not contain NULL elements.
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.
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: apply_transformers():
styler:::apply_transformers
#> function (pd_nested, transformers)
#> {
#> transformed_updated_multi_line <- post_visit(pd_nested, c(transformers$initialize,
#> transformers$line_break, set_multi_line, if (length(transformers$line_break) !=
#> 0L) update_newlines))
#> transformed_all <- pre_visit(transformed_updated_multi_line,
#> c(transformers$space, transformers$indention, transformers$token))
#> transformed_absolute_indent <- context_to_terminals(transformed_all,
#> outer_lag_newlines = 0L, outer_indent = 0L, outer_spaces = 0L,
#> outer_indention_refs = NA)
#> transformed_absolute_indent
#> }
#> <bytecode: 0x562609624e20>
#> <environment: namespace:styler>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.
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 }")
styler:::create_tree(code) ## 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 “‘{’”.
pd$child[[1]]$child[[3]]$child[[5]]
#> id pos_id line1 col1 line2 col2 parent token terminal text short
#> 1 9 11 1 24 1 24 19 '{' TRUE { {
#> 2 16 12 1 26 1 30 19 expr FALSE x + 1 x + 1
#> 3 15 18 1 32 1 32 19 '}' TRUE } }
#> token_before token_after stylerignore block is_cached internal
#> 1 ')' SYMBOL FALSE NA FALSE FALSE
#> 2 <NA> <NA> FALSE NA FALSE FALSE
#> 3 NUM_CONST FALSE NA FALSE FALSE
#> child
#> 1 NULL
#> 2 12, 11, 14, 14, 15, 17, 1, 1, 1, 26, 28, 30, 1, 1, 1, 26, 28, 30, 16, 16, 16, expr, '+', expr, FALSE, TRUE, FALSE, x, +, 1, x, +, 1, NA, SYMBOL, NA, NA, NUM_CONST, NA, FALSE, FALSE, FALSE, NA, NA, NA, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 13, 10, 1, 26, 1, 26, 12, SYMBOL, TRUE, x, x, '{', '+', FALSE, NA, FALSE, FALSE, 16, 13, 1, 30, 1, 30, 14, NUM_CONST, TRUE, 1, 1, '+', '}', FALSE, NA, FALSE, FALSE
#> 3 NULLRemember 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
pd_flat
}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 = list(set_line_break_before_curly_opening),
style_guide_name = "styler::set_line_break_before_curly_opening_style@https://github.com/r-lib/styler",
style_guide_version = read.dcf(here::here("DESCRIPTION"))[, "Version"]
)
}Now you can style your string according to it.
style_text(code, style = set_line_break_before_curly_opening_style)
#> add_one <- function(x)
#> { x + 1 }Note that when removing line breaks, always take care of comments, since you don’t want:
a <- function() # comments should remain EOL
{
3
}To become:
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 round closing bracket that comes after a curly brace looks as follows:
styler:::remove_line_break_before_round_closing_after_curly
#> function (pd)
#> {
#> round_after_curly <- pd$token == "')'" & (pd$token_before ==
#> "'}'")
#> pd$lag_newlines[round_after_curly] <- 0L
#> pd
#> }
#> <bytecode: 0x56260714a340>
#> <environment: namespace:styler>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.
Note that it if you re-distribute the style guide, it’s your
responsibility to set the version and the style guide name in
create_style_guide() correctly. If you distribute a new
version of your style guide and you don’t increment the version number,
it might have drastic consequences for your user: Under some
circumstances (see help("cache_make_key")), your new style
guide won’t invalidate the cache although it should and applying your
style guide to code that has previously been styled won’t result in any
change. There is currently no mechanism in styler that prevents you from
making this mistake.