File: H5SparseMatrix-class.R

package info (click to toggle)
r-bioc-hdf5array 1.34.0-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 8,736 kB
  • sloc: ansic: 5,815; makefile: 4
file content (54 lines) | stat: -rw-r--r-- 1,543 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
### =========================================================================
### H5SparseMatrix objects
### -------------------------------------------------------------------------
###


setClass("H5SparseMatrix",
    contains="DelayedMatrix",
    representation(seed="H5SparseMatrixSeed")
)


### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### Constructor
###

setMethod("DelayedArray", "H5SparseMatrixSeed",
    function(seed) new_DelayedArray(seed, Class="H5SparseMatrix")
)

### Works directly on an H5SparseMatrixSeed derivative, in which case it must
### be called with a single argument.
H5SparseMatrix <- function(filepath, group)
{
    if (is(filepath, "H5SparseMatrixSeed")) {
        if (!missing(group))
            stop(wmsg("H5SparseMatrix() must be called with a single argument ",
                      "when passed an H5SparseMatrixSeed object"))
        seed <- filepath
    } else {
        seed <- H5SparseMatrixSeed(filepath, group)
    }
    DelayedArray(seed)
}


### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### Taking advantage of sparsity
###

setMethod("nzcount", "H5SparseMatrix", function(x) nzcount(x@seed))

setMethod("read_sparse_block", "H5SparseMatrix",
    function(x, viewport) read_sparse_block(x@seed, viewport)
)

setMethod("extractNonzeroDataByCol", "H5SparseMatrix",
    function(x, j) extractNonzeroDataByCol(x@seed, j)
)

setMethod("extractNonzeroDataByRow", "H5SparseMatrix",
    function(x, i) extractNonzeroDataByCol(x@seed, i)
)