`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:

`library(wrapr)`

```
<- list(sin)
lst
# without the attribute, the function is returned
4 %.>% lst[[1]]
#> function (x) .Primitive("sin")
```

```
# an outer .() signals for eager eval from the pipeline
4 %.>% .(lst[[1]])
#> [1] -0.7568025
```

```
# 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
<- function(...) { sin }
f 4 %.>% f()
#> function (x) .Primitive("sin")
```

```
# an outer .() signals for eager eval from the pipeline
4 %.>% .(f())
#> [1] -0.7568025
```

```
# 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.