I needed to clean someone else code and run it through tidy.source. It
encountered a number of hangups which after some experimentation lead me to
suspect that the culprit is # symbol when it is a part of literal string. For
example if i copy the following to the clipboard
confuse.tidy <-
function()
{
txt <- 'abra # cadabra'
}
and run with default arguments
>tidy.source()
I am getting
Error in base::parse(text = text, srcfile = NULL) :
4:46: unexpected INCOMPLETE_STRING
4: txt <- 'abra %InLiNe_IdEnTiFiEr% "# cadabra'"
5: }
However, good news, as i realized after a bit of struggle, is that i could do
>tidy.source(keep.comment=F)
which produces desired
confuse.tidy <- function() {
txt <- "abra # cadabra"
}
Unfortunately, # is sometimes a legitimate part of strings, for example when
you grep through lines from a web page, or when you specify a color in a string
with #. So, I thought it'd be useful to point this out so that someone think of
a workaround for this as dropping comments sometimes means dropping something
valuable.
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