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wrapr
dot arrow piping is designed to emphasize a a %.>% b
“is
nearly” {. <- a; b}
semantics. In many cases this makes
a piped expression of the form a %.>% b(.)
look very
much like b(a)
. This leads to the observation that “wrapr
explicit dot notation” appears to need one more dot than the common “magrittr
dot is a new implicit first argument notation.”
There are some special rules around things like names. For example
5 %.>% sin
is not valued as sin
,
which would be the strict interpretation of
{. <- 5; sin}
. Instead it is expanded to something
closer {. <- 5; sin(.)}
, which intentionally looks very
much like sin(5)
. In more complicated cases the user can
signal they wish for an eager evaluation of this style by writing on
outer .()
container.
And wrapr
now also exposes an “eager” annotation such
that function evaluations or array indexing operations so-annotated are
interpreted as a %.>% f(...)
is interpreted roughly as
{. <- a; _f <- eval(f(...)); _f(.)}
, where
_f
is a notional temporary variable (not visible or
produces as a side-effect). This effect is used in wrapr
’s
“pipe to array” variation of the unpack
notation (example
here).
This eager effect can be gotten by setting the appropriate attribute as we see below.
For array notation:
lst <- list(sin)
# without the attribute, the function is returned
4 %.>% lst[[1]]
#> function (x) .Primitive("sin")
# with the attribute, the array is always de-referenced
# before the pipe execution allowing the function
# to be evaluated using the piped-in value.
attr(lst, 'dotpipe_eager_eval_bracket') <- TRUE
4 %.>% lst[[1]]
#> [1] -0.7568025
For functions:
# without the attribute the result is sin
f <- function(...) { sin }
4 %.>% f()
#> function (x) .Primitive("sin")
# with the attribute the result is sin(4)
attr(f, 'dotpipe_eager_eval_function') <- TRUE
4 %.>% f()
#> [1] -0.7568025
Essentially objects with this attribute have an implicit
.()
“eager eval” on them.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.