Create function that uses tidy eval and the rescale function in R

I want to write a simple function that takes a dataframe and a numeric column (a parameter e.g. called col as input. The name of the numeric column should be quoted (like "mpg"). I am having some troubles figuring out how I could use the scales::rescale-function to map the value of the column (whos name is stored in col) to a new interval (e.g. 0 to 1).

I know this works

library(dplyr)
df = data.frame(val = sample(1:10, 5, replace = T))
resc = function(df, col){
  df %>% 
    mutate(
      rescaled_value = scales::rescale(.data[[col]])
    )
}

But I wanted to do something like this:

resc = function(df, col){
  df %>% 
    mutate(
      rescaled_value = scales::rescale({{col}}, to=c(0,1), from=range(.data[[col]]))
    )
}

So basically I do not know how to specify the first paramter to the rescale-function in a way that works in tidy eval.

Use !!sym like this:

resc = function(df, col){
  df %>% 
    mutate(
      rescaled_value = scales::rescale(!!sym(col), from = range(!!sym(col)))
    )
}

This also works and is short but does not use tidy eval. It depends on using %>% and would not work with |> .

resc = function(df, col){
  df %>% 
    mutate(
      rescaled_value = scales::rescale(.[[col]], from = range(.[[col]]))
    )

}