Min/Max with na.rm = TRUE can return different class to input

Is anyone hit with the fact that Min/Max with na.rm = TRUE will return different class from the input if there are no non-NA values?

In particular scenario I use min with na.rm = TRUE with group_by/summarise on a column which is of type integer. I then found the result is numeric - not integer. because min is returning -Inf for groups with no non-NA values.

Is there a library which gets around this or do I need to put a wrapper function around min?

To be frank I programmed around this in the early days but just letting my integers become numeric - but it doesn't seem right.

Sorry - I could have been a lot clearer. min is returning -Inf for groups with ALL NA values.
And the class of -Inf is numeric

The example below is trivial of course - but the class change has been an issue when used in summarise

inputdata <- rep(as.integer(NA),5)
minvalue <- min(inputdata, na.rm = TRUE) 

It cant be that the end result is both Inf and integer, so one or the other will have to go...
If you want the vector class containing a mix of integers and Inf values to be integer you could cast them to integer and the Inf's will go to NA, is that acceptable ? otherwise what integer value would be ?

I want a vector with integers and NAs to always be returned as class integer.
Even if a vector is all NA (of class integer)
My criticism of min/max is that they don't return the same class for a given class of input.

Here is my best shot as a workaround - to be used in the situation where I know I want to use na.rm = TRUE

minNA = function(x) {
  returnval <- min(x, na.rm = TRUE)
  if (is.finite(returnval)) {
  } else {
    returnval <- as(NA, class(x))

inputdata <- rep(as.integer(NA),5)
#minvalue <- minNA(inputdata, na.rm = TRUE) 
minvalue <- minNA(inputdata) 
[1] "integer"
[1] NA
[1] "integer"
Warning message:
In min(x, na.rm = TRUE) : no non-missing arguments to min; returning Inf
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