WISH/ROBUSTNESS: Mechanism to prevent var <<- value from assigning non-existing 'var' #147
Labels
code robustess
on r-devel or r-pkg-devel mailing lists
Issue has been raised on the R-devel or R-pkg-devel mailing lists
r-dev-day-candidate
r-language
Wish
I'd like to be able to prevent the
<<-
assignment operator from assigning to the global environment unless the variable already exists and is not locked. If it does not exist or is locked, I'd like an error to be produced. This would allow me to evaluate expressions with this temporarily set to protect against mistakes.For example, I'd like to do something like:
Background
From
help("<<-")
we have:"The operators
<<-
and->>
are normally only used in functions, and cause a search to be made through parent environments for an existing definition of the variable being assigned. If such a variable is found (and its binding is not locked) then its value is redefined, otherwise assignment takes place in the global environment."I argue that it's unfortunate that
<<-
falls back to assigning to the global environment if the variable does not already exist. Unfortunately, it has become a "go to" solution for many to use it that way. Sometimes it is intended, sometimes it's a mistake. We find it also in R packages on CRAN, even ifR CMD check
tries to detect when it happens (but it's limited to do so from run-time examples and tests).It's probably too widely used for us to change to a more strict behavior permanently. The proposed R option allows me, as a developer, to evaluate an R expression with the strict behavior, especially if I don't trust the code.
With
check.superassignment = TRUE
set, a developer would have to first declare the variable in the global environment for<<-
to assign there. This would remove the fallback "If such a variable is found (and its binding is not locked) then its value is redefined, otherwise assignment takes place in the global environment" in the current design. For those who truly intends to assign to the global environment, could useassign(var, value, envir = globalenv())
orglobalenv()[[var]] <- value
. That would also make it explicit where the variable is assigned.R CMD check
could temporarily setcheck.superassignment = TRUE
during checks to improve its current checks for assignments to the global environment. Moreover, if we let environment variableR_CHECK_SUPERASSIGNMENT
set the default value of optioncheck.superassignment
on R startup, it would be possible to check packages optionally this way, but also to run any R script under the "strict" behavior.The text was updated successfully, but these errors were encountered: