Nothing
### =========================================================================
### Some low-level HDF5 utilities
### -------------------------------------------------------------------------
###
### Unless stated otherwise, nothing in this file is exported.
###
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### h5exists()
###
h5exists <- function(filepath, name)
{
fid <- H5Fopen(filepath, flags="H5F_ACC_RDONLY")
on.exit(H5Fclose(fid))
H5Lexists(fid, name)
}
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### h5dim() and h5chunkdim()
###
### Return an object of class H5IdComponent representing an H5 dataset ID.
.get_h5dataset <- function(filepath, name)
{
if (substr(name, 1L, 1L) != "/")
name <- paste0("/", name)
group <- gsub("(.*/)[^/]*$", "\\1", name)
name <- gsub(".*/([^/]*)$", "\\1", name)
fid <- H5Fopen(filepath, flags="H5F_ACC_RDONLY")
on.exit(H5Fclose(fid))
gid <- H5Gopen(fid, group)
on.exit(H5Gclose(gid), add=TRUE)
H5Dopen(gid, name)
}
.dim_as_integer <- function(dim, filepath, name, what="dimensions")
{
if (is.integer(dim))
return(dim)
if (any(dim > .Machine$integer.max)) {
dim_in1string <- paste0(dim, collapse=" x ")
stop(wmsg("The ", what, " (", dim_in1string, ") ",
"of HDF5 dataset '", name, "' ",
"from file '", filepath, "' are too big.\n\n",
"The HDF5Array package only supports datasets with ",
"all ", what, " <= 2^31-1 (= ", .Machine$integer.max, ") ",
"at the moment."))
}
as.integer(dim)
}
### The TENxMatrixSeed() constructor calls h5dim() with 'as.integer=FALSE'
### in order to get the dimension of a monodimensional array of length >= 2^31.
h5dim <- function(filepath, name, as.integer=TRUE)
{
did <- .get_h5dataset(filepath, name)
on.exit(H5Dclose(did), add=TRUE)
sid <- H5Dget_space(did)
on.exit(H5Sclose(sid), add=TRUE)
dim <- H5Sget_simple_extent_dims(sid)$size
if (as.integer)
dim <- .dim_as_integer(dim, filepath, name)
dim
}
### Return NULL or an integer vector parallel to 'h5dim(filepath, name)'.
h5chunkdim <- function(filepath, name, adjust=FALSE)
{
did <- .get_h5dataset(filepath, name)
on.exit(H5Dclose(did), add=TRUE)
pid <- H5Dget_create_plist(did)
on.exit(H5Pclose(pid), add=TRUE)
if (H5Pget_layout(pid) != "H5D_CHUNKED")
return(NULL)
## We use rev() to invert the order of the dimensions returned by
## H5Pget_chunk(). It seems that H5Pget_chunk() should take care of
## this though, for consistency with how rhdf5 handles the order of the
## dimensions everywhere else (e.g. see ?H5Sget_simple_extent_dims).
chunkdim <- rev(H5Pget_chunk(pid))
chunkdim <- .dim_as_integer(chunkdim, filepath, name,
what="chunk dimensions")
if (adjust) {
dim <- h5dim(filepath, name, as.integer=FALSE)
## A sanity check that should never fail.
stopifnot(length(chunkdim) == length(dim))
chunkdim <- as.integer(pmin(dim, chunkdim))
}
chunkdim
}
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### A thin wrapper around h5mread()
###
h5read2 <- function(filepath, name, index=NULL,
as.integer=FALSE, as.sparse=FALSE)
{
if (!is.null(index))
index <- DelayedArray:::expand_Nindex_RangeNSBS(index)
## h5read() emits an annoying warning when it loads integer values that
## cannot be represented in R (and thus are converted to NAs).
#suppressWarnings(h5read(filepath, name, index=index))
h5mread(filepath, name, starts=index,
as.integer=as.integer, as.sparse=as.sparse)
}
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### Manipulate one-dimensional HDF5 datasets
###
### Length of a one-dimensional HDF5 dataset.
### Return the length as a single integer (if < 2^31) or numeric (if >= 2^31).
h5length <- function(filepath, name)
{
len <- h5dim(filepath, name, as.integer=FALSE)
stopifnot(length(len) == 1L)
len
}
### Append data to a one-dimensional HDF5 dataset.
### Return the length of the extended dataset.
h5append <- function(data, filepath, name)
{
old_len <- as.numeric(h5length(filepath, name))
data_len <- length(data)
new_len <- old_len + data_len
h5set_extent(filepath, name, new_len)
h5write(data, filepath, name, start=old_len+1, count=data_len)
new_len
}
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### A simple wrapper around rhdf5::h5createDataset()
###
### Compute the value to pass to the 'size' argument of HDF5RealizationSink(),
### which will be passed all the way down to h5createDataset2() below, and
### finally to rhdf5::h5createDataset().
compute_max_string_size <- function(x)
{
## We want this to work on any array-like object, not just ordinary
## arrays, so we must use type() instead of is.character().
if (type(x) != "character")
return(NULL)
if (length(x) == 0L)
return(0L)
## Calling nchar() on 'x' will trigger block processing if 'x' is a
## DelayedArray object, so it could take a while.
max(nchar(x, type="bytes", keepNA=FALSE))
}
h5createDataset2 <- function(filepath, name, dim, maxdim=dim,
type="double", H5type=NULL, size=NULL,
chunkdim=dim, level=6L)
{
## If h5createDataset() fails, it will leave an HDF5 file handle opened.
## Calling H5close() will close all opened HDF5 object handles.
#on.exit(H5close())
ok <- h5createDataset(filepath, name, dim, maxdims=maxdim,
storage.mode=type, H5type=H5type, size=size,
chunk=chunkdim, level=level)
if (!ok)
stop(wmsg("failed to create dataset '", name, "' ",
"in file '", filepath, "'"), call.=FALSE)
}
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### get_h5dimnames() / set_h5dimnames()
###
### Exported!
get_h5dimnames <- function(filepath, name)
{
h5getdimscales(filepath, name, scalename="dimnames")
}
### Fail if 'name' is a Dimension Scale dataset or has Dimension Scales on it.
.check_filepath_and_name <- function(filepath, name)
{
if (h5isdimscale(filepath, name))
stop(wmsg("HDF5 dataset '", name, "' contains the dimnames for ",
"another dataset in the HDF5 file so dimnames cannot ",
"be set on it"))
current_h5dimnames <- get_h5dimnames(filepath, name)
if (!all(is.na(current_h5dimnames))) {
ds <- current_h5dimnames[!is.na(current_h5dimnames)]
stop(wmsg("the dimnames for HDF5 dataset '", name, "' are already ",
"stored in HDF5 file '", filepath, "' (in dataset(s): ",
paste(paste0("'", ds, "'"), collapse=", "), ")"))
}
dimlabels <- h5getdimlabels(filepath, name)
if (!is.null(dimlabels))
stop(wmsg("HDF5 dataset '", name, "' already has dimension labels"))
}
.validate_h5dimnames_lengths <- function(filepath, name, h5dimnames)
{
dim <- h5dim(filepath, name)
for (along in which(!is.na(h5dimnames))) {
h5dn <- h5dimnames[[along]]
h5dn_len <- prod(h5dim(filepath, h5dn))
if (h5dn_len != dim[[along]])
return(paste0("length of HDF5 dataset '", h5dn, "' ",
"(", h5dn_len, ") is not equal to the ",
"extent of dimension ", along, " in HDF5 ",
"dataset '", name, "' (", dim[[along]], ")"))
}
TRUE
}
.check_h5dimnames <- function(filepath, name, h5dimnames)
{
dim <- h5dim(filepath, name)
ndim <- length(dim)
if (!is.character(h5dimnames))
stop(wmsg("'h5dimnames' must be a character vector containing ",
"the names of the HDF5 datasets to set as the ",
"dimnames of dataset '", name, "' (one per dimension ",
"in '", name, "')"))
if (length(h5dimnames) > ndim)
stop(wmsg("length of 'h5dimnames' must equal the number of ",
"dimensions (", ndim, ") in HDF5 dataset '", name, "'"))
for (along in which(!is.na(h5dimnames))) {
h5dn <- h5dimnames[[along]]
if (!h5exists(filepath, h5dn))
stop(wmsg("HDF5 dataset '", h5dn, "' does not exist"))
}
msg <- .validate_h5dimnames_lengths(filepath, name, h5dimnames)
if (!isTRUE(msg))
stop(wmsg("invalid 'h5dimnames': ", msg))
}
### Exported!
set_h5dimnames <- function(filepath, name, h5dimnames, dry.run=FALSE)
{
.check_filepath_and_name(filepath, name)
.check_h5dimnames(filepath, name, h5dimnames)
h5setdimscales(filepath, name, dimscales=h5dimnames,
scalename="dimnames", dry.run=dry.run)
invisible(NULL)
}
validate_lengths_of_h5dimnames <- function(filepath, name)
{
h5dimnames <- get_h5dimnames(filepath, name)
msg <- .validate_h5dimnames_lengths(filepath, name, h5dimnames)
if (!isTRUE(msg))
return(paste0("invalid dimnames found in HDF5 file '", filepath, "' ",
"for dataset '", name, "': ", msg))
TRUE
}
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### h5writeDimnames() / h5readDimnames()
###
.check_dimnames <- function(dimnames, filepath, name)
{
if (!is.list(dimnames))
stop(wmsg("'dimnames' must be a list"))
dim <- h5dim(filepath, name)
ndim <- length(dim)
if (length(dimnames) > ndim)
stop(wmsg("'dimnames' cannot have more list elements than ",
"the number of dimensions in dataset '", name,"'"))
not_NULL <- !S4Vectors:::sapply_isNULL(dimnames)
for (along in which(not_NULL)) {
dn <- dimnames[[along]]
if (!(is.vector(dn) && is.atomic(dn)))
stop(wmsg("each list element in the supplied 'dimnames' ",
"must an atomic vector or a NULL"))
if (length(dn) != dim[[along]])
stop(wmsg("length of 'dimnames[[", along, "]]' ",
"(", length(dn), ") must equal the ",
"extent of the corresponding dimension in ",
"HDF5 dataset '", name, "' (", dim[[along]], ")"))
}
dimlabels <- names(dimnames)
if (!is.null(dimlabels) && any(is.na(dimlabels)))
stop(wmsg("'names(dimnames)' cannot contain NAs"))
not_NULL
}
.normarg_group <- function(group, name)
{
if (!isSingleStringOrNA(group))
stop(wmsg("'group' must be a single string or NA"))
if (is.na(group)) {
group <- add_prefix_to_basename(name, prefix=".")
group <- paste0(group, "_dimnames")
}
group
}
.normarg_h5dimnames <- function(h5dimnames, group, not_NULL, filepath, name)
{
ndim <- length(not_NULL)
if (is.null(h5dimnames)) {
## Generate automatic dataset names.
digits <- as.integer(log10(ndim + 0.5)) + 1L
fmt <- paste0("%0", digits, "d")
h5dimnames <- sprintf(fmt, seq_len(ndim))
} else {
if (!is.character(h5dimnames) || length(h5dimnames) != ndim)
stop(wmsg("'h5dimnames' must be a character vector containing ",
"the names of the HDF5 datasets where to write the ",
"dimnames of dataset '", name, "' (one per dimension ",
"in '", name, "')"))
if (any(not_NULL & is.na(h5dimnames)))
stop(wmsg("'h5dimnames' cannot have NAs associated with ",
"list elements in 'dimnames' that are not NULL"))
}
if (nzchar(group))
h5dimnames <- paste0(group, "/", h5dimnames)
h5dimnames[!not_NULL] <- NA_character_
for (along in which(not_NULL)) {
h5dn <- h5dimnames[[along]]
if (h5exists(filepath, h5dn))
stop(wmsg("HDF5 dataset '", h5dn, "' already exists"))
}
h5dimnames
}
### Exported!
### dimnames: A list (possibly named) with 1 list element per dimension in
### dataset 'name'.
### name: The name of the HDF5 dataset on which to set the dimnames.
### group: The name of the HDF5 group where to write the dimnames.
### If NA, the group name is automatically generated from 'name'.
### An empty string ("") means that no group should be used.
### Otherwise, the names in 'h5dimnames' must be relative to the
### specified group name.
### h5dimnames: A character vector containing the names of the HDF5 datasets
### (1 per list element in 'dimnames') where to write the dimnames.
### Names associated with NULL list elements in 'dimnames' are
### ignored.
h5writeDimnames <- function(dimnames, filepath, name, group=NA, h5dimnames=NULL)
{
## 1. Lots of checks.
## Before we start writing to the file we want some guarantees that
## the full operation will succeed. The checks we make access the file
## in read-only mode.
.check_filepath_and_name(filepath, name)
not_NULL <- .check_dimnames(dimnames, filepath, name)
group <- .normarg_group(group, name)
h5dimnames <- .normarg_h5dimnames(h5dimnames, group, not_NULL,
filepath, name)
## 2. Write to the HDF5 file.
## Create group if needed.
if (!is.na(group) && !h5exists(filepath, group))
h5createGroup(filepath, group)
## Write dimnames.
for (along in which(not_NULL)) {
dn <- dimnames[[along]]
h5dn <- h5dimnames[[along]]
h5write(dn, filepath, h5dn)
}
## Attach new datasets to dimensions of dataset 'name'.
set_h5dimnames(filepath, name, h5dimnames)
## Set the dimension labels.
dimlabels <- names(dimnames)
if (!is.null(dimlabels) && any(nzchar(dimlabels)))
h5setdimlabels(filepath, name, dimlabels)
}
### Exported!
h5readDimnames <- function(filepath, name, as.character=FALSE)
{
if (!isTRUEorFALSE(as.character))
stop(wmsg("'as.character' must be TRUE or FALSE"))
h5dimnames <- get_h5dimnames(filepath, name)
dimlabels <- h5getdimlabels(filepath, name)
if (all(is.na(h5dimnames)) && is.null(dimlabels))
return(NULL)
lapply(setNames(h5dimnames, dimlabels),
function(h5dn) {
if (is.na(h5dn))
return(NULL)
dn <- h5mread(filepath, h5dn)
if (as.character) {
## as.character() drops all attributes so no need to
## explicitly drop the "dim" attribute.
as.character(dn)
} else {
DelayedArray:::set_dim(dn, NULL)
}
})
}
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### validate_lengths_of_h5dimnames()
###
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