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#' Read a factor from disk
#'
#' Read a base R \link{factor} from its on-disk representation.
#' This is usually not directly called by users, but is instead called by dispatch in \code{\link{readObject}}.
#'
#' @param path String containing a path to a directory, itself created with the \code{\link{saveObject}} method for factors.
#' @param metadata Named list containing metadata for the object, see \code{\link{readObjectFile}} for details.
#' @param ... Further arguments, ignored.
#'
#' @return
#' The vector described by \code{info}.
#'
#' @seealso
#' \code{"\link{saveObject,factor-method}"}, for the staging method.
#'
#' @author Aaron Lun
#'
#' @examples
#' tmp <- tempfile()
#' saveObject(factor(letters[1:10], letters), tmp)
#' readObject(tmp)
#'
#' @export
#' @aliases loadBaseFactor
readBaseFactor <- function(path, metadata, ...) {
fpath <- file.path(path, "contents.h5")
fhandle <- H5Fopen(fpath, flags="H5F_ACC_RDONLY")
on.exit(H5Fclose(fhandle), add=TRUE, after=FALSE)
host <- "string_factor"
ghandle <- H5Gopen(fhandle, host)
on.exit(H5Gclose(ghandle), add=TRUE, after=FALSE)
codes <- .simple_read_codes(ghandle)
levels <- h5_read_vector(ghandle, "levels")
ordered <- h5_read_attribute(ghandle, "ordered", check=TRUE, default=NULL)
output <- factor(levels[codes], levels=levels, ordered=isTRUE(ordered > 0L))
if (h5_object_exists(ghandle, "names")) {
names(output) <- h5_read_vector(ghandle, "names")
}
output
}
.simple_read_codes <- function(handle, name="codes") {
chandle <- H5Dopen(handle, name)
on.exit(H5Dclose(chandle), add=TRUE, after=FALSE)
codes <- H5Dread(chandle, drop=TRUE)
missing.placeholder <- h5_read_attribute(chandle, missingPlaceholderName, check=TRUE, default=NULL)
codes <- h5_cast(codes, expected.type="integer", missing.placeholder=missing.placeholder)
codes + 1L
}
#######################################
########### OLD STUFF HERE ############
#######################################
#' @export
loadBaseFactor <- function(info, project, ...) {
fpath <- acquireFile(project, info$path)
meta <- info$factor
df <- read.csv3(fpath, compression=meta$compression, nrows=meta$length)
codes <- df[,ncol(df)] + 1L
smeta <- info$string_factor
level_meta <- acquireMetadata(project, smeta$levels$resource$path)
levels <- altLoadObject(level_meta, project=project)
output <- factor(levels[codes], levels=levels, ordered=isTRUE(smeta$ordered))
if (isTRUE(meta$names)) {
names(output) <- df[,1]
}
output
}
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