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
55
56
57
58
59
60
61
62
63
64
65
66
67
|
{{alias}}( arrays, fcn )
Applies a unary callback to elements in an input ndarray and assigns results
to elements in an output ndarray.
Each provided "ndarray" should be an `object` with the following properties:
- dtype: data type.
- data: data buffer.
- shape: dimensions.
- strides: stride lengths.
- offset: index offset.
- order: specifies whether an ndarray is row-major (C-style) or column-major
(Fortran-style).
Parameters
----------
arrays: ArrayLikeObject<ndarray>
Array-like object containing one input ndarray and one output ndarray.
fcn: Function
Unary callback.
Examples
--------
// Define ndarray data and meta data...
> var xbuf = new {{alias:@stdlib/array/float64}}( [ -1.0, -2.0, -3.0, -4.0 ] );
> var ybuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
> var dtype = 'float64';
> var shape = [ 2, 2 ];
> var sx = [ 2, 1 ];
> var sy = [ 2, 1 ];
> var ox = 0;
> var oy = 0;
> var order = 'row-major';
// Using ndarrays...
> var x = {{alias:@stdlib/ndarray/ctor}}( dtype, xbuf, shape, sx, ox, order );
> var y = {{alias:@stdlib/ndarray/ctor}}( dtype, ybuf, shape, sy, oy, order );
> {{alias}}( [ x, y ], {{alias:@stdlib/math/base/special/abs}} );
> y.data
<Float64Array>[ 1.0, 2.0, 3.0, 4.0 ]
// Using minimal ndarray-like objects...
> x = {
... 'dtype': dtype,
... 'data': xbuf,
... 'shape': shape,
... 'strides': sx,
... 'offset': ox,
... 'order': order
... };
> y = {
... 'dtype': dtype,
... 'data': ybuf,
... 'shape': shape,
... 'strides': sy,
... 'offset': oy,
... 'order': order
... };
> {{alias}}( [ x, y ], {{alias:@stdlib/math/base/special/abs}} );
> y.data
<Float64Array>[ 1.0, 2.0, 3.0, 4.0 ]
See Also
--------
|
