splice
marks an object to be spliced. It is equivalent to using
!!!
in a function taking dynamic dots.
dots_splice()
is like dots_list()
but automatically splices
list inputs.
splice(x)is_spliced(x)
is_spliced_bare(x)
dots_splice(
...,
.ignore_empty = c("trailing", "none", "all"),
.preserve_empty = FALSE,
.homonyms = c("keep", "first", "last", "error"),
.check_assign = FALSE
)
A list to splice.
Arguments to collect in a list. These dots are dynamic.
Whether to ignore empty arguments. Can be one
of "trailing"
, "none"
, "all"
. If "trailing"
, only the
last argument is ignored if it is empty.
Whether to preserve the empty arguments that
were not ignored. If TRUE
, empty arguments are stored with
missing_arg()
values. If FALSE
(the default) an error is
thrown when an empty argument is detected.
How to treat arguments with the same name. The
default, "keep"
, preserves these arguments. Set .homonyms
to
"first"
to only keep the first occurrences, to "last"
to keep
the last occurrences, and to "error"
to raise an informative
error and indicate what arguments have duplicated names.
Whether to check for <-
calls. When TRUE
a
warning recommends users to use =
if they meant to match a
function parameter or wrap the <-
call in curly braces otherwise.
This ensures assignments are explicit.
The !!!
operator works differently in standard functions taking
dots with dots_list()
than in quoting functions taking dots
with enexprs()
or enquos()
.
In quoting functions !!!
disaggregates its argument (let's call
it x
) into as many objects as there are elements in
x
. E.g. quo(foo(!!! c(1, 2)))
is completely equivalent to
quo(foo(1, 2))
. The creation of those separate objects has an
overhead but is typically not important when manipulating calls
because function calls typically take a small number of
arguments.
In standard functions, disaggregating the spliced collection
would have a negative performance impact in cases where
dots_list()
is used to build up data structures from user
inputs. To avoid this spliced inputs are marked with splice()
and the final list is built with (the equivalent of)
flatten_if(dots, is_spliced)
.
Most of the time you should not care about the difference. However
if you use a standard function taking tidy dots within a quoting
function, the !!!
operator will disaggregate its argument because
the behaviour of the quasiquoting function has priority. You might
then observe some performance cost in edge cases. Here is one
example where this would happen:
purrr::rerun(10, dplyr::bind_rows(!!! x))
purrr::rerun()
is a quoting function and dplyr::bind_rows()
is
a standard function. Because bind_rows()
is called inside
rerun()
, the list x
will be disaggregated into a pairlist of
arguments. To avoid this you can use splice()
instead:
purrr::rerun(10, dplyr::bind_rows(splice(x)))
dots_splice()
is in the questioning stage. It is part of our
experiments with dots semantics. Compared to dots_list()
,
dots_splice()
automatically splices lists. We now lean towards
adopting a single type of dots semantics (those of dots_list()
)
where splicing is explicit.
splice()
is in the questioning stage. It is not clear whether it is
really needed as there are other ways to avoid the performance
issue discussed above.