Hi, I am puzzled with serialize(). It comes down generating identical hash codes for (apparently) identical objects using digest::digest(), which in turn relies on serialize(). Here is an example illustration the issue:
ser <- function(object, ...) { list( names = names(object), namesRaw = charToRaw(names(object)), ser = serialize(names(object), connection=NULL, ascii=FALSE) ) } # ser() # Object to be serialized key <- key0 <- list(abc="Hello"); # Store results d <- list(); # 1. As is d[[1]] <- ser(key); # 2. Set names and redo (hardwired: identical to what's already there) names(key) <- "abc"; d[[2]] <- ser(key); # 3. Set names and redo (generic: char->raw->char) key <- key0; names(key) <- sapply(names(key), FUN=function(name) rawToChar(charToRaw(name))); d[[3]] <- ser(key); # All names are identical for (kk in 2:length(d)) stopifnot(identical(d[[1]]$names, d[[kk]]$names)); # All raw names are identical for (kk in 2:length(d)) stopifnot(identical(d[[1]]$namesRaw, d[[kk]]$namesRaw)); # But, the serialized names differ. print(identical(d[[1]]$ser, d[[2]]$ser)); print(identical(d[[1]]$ser, d[[3]]$ser)); print(identical(d[[2]]$ser, d[[3]]$ser)); So, it seems like there is some extra information in the names attribute that is part of the serialization. Is it possible to show they differ at the R level? What is that extra information? Promises...? Please enlighten me. Henrik ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel