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Copy elements from an input strided
DataView
to elements in an output strided array.
npm install @stdlib/strided-base-read-dataview
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var readDataView = require( '@stdlib/strided-base-read-dataview' );
Copies elements from an input strided DataView
to elements in an output strided array.
var Float64Array = require( '@stdlib/array-float64' );
var DataView = require( '@stdlib/array-dataview' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var view = new DataView( x.buffer );
var y = new Float64Array( x.length );
var out = readDataView( x.length, view, 8, y, 1, true );
// e.g., returns <Float64Array>[ 1.0, 2.0, 3.0, 4.0 ]
var bool = ( out === y );
// returns true
The function accepts the following arguments:
- N: number of indexed elements.
- view: input
DataView
. - strideView: index increment (in bytes) for
view
. - out: output strided array.
- strideOut: index increment for
out
. - littleEndian: boolean indicating whether to store values in little-endian format.
The N
and stride parameters determine which elements in view
and out
are accessed at runtime. For example, to index the first N
elements of view
in reverse order and to index every other value in out
,
var Float64Array = require( '@stdlib/array-float64' );
var DataView = require( '@stdlib/array-dataview' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var view = new DataView( x.buffer );
var y = new Float64Array( x.length*2 );
var out = readDataView( x.length, view, -8, y, 2, true );
// e.g., returns <Float64Array>[ 4.0, 0.0, 3.0, 0.0, 2.0, 0.0, 1.0, 0.0 ]
var bool = ( out === y );
// returns true
Note that indexing is relative to the first index. To introduce an offset, use typed array views.
var Float64Array = require( '@stdlib/array-float64' );
var DataView = require( '@stdlib/array-dataview' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var view = new DataView( x.buffer );
// Initial output array:
var y0 = new Float64Array( x.length+1 );
// Create an offset view:
var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var out = readDataView( x.length, view, 8, y1, 1, true );
// e.g., returns <Float64Array>[ 1.0, 2.0, 3.0, 4.0 ]
var bool = ( out === y1 );
// returns true
Copies elements from an input strided DataView
to elements in an output strided array using alternative indexing semantics.
var Float64Array = require( '@stdlib/array-float64' );
var DataView = require( '@stdlib/array-dataview' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var view = new DataView( x.buffer );
var y = new Float64Array( x.length );
var out = readDataView.ndarray( x.length, view, 8, 0, y, 1, 0, true );
// e.g., returns <Float64Array>[ 1.0, 2.0, 3.0, 4.0 ]
var bool = ( out === y );
// returns true
The function accepts the following additional arguments:
- offsetView: starting index (in bytes) for
view
. - offsetOut: starting index for
out
.
While typed array views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to index the last N
elements in view
in reverse order and to index every other value in out
starting from the second value,
var Float64Array = require( '@stdlib/array-float64' );
var DataView = require( '@stdlib/array-dataview' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var view = new DataView( x.buffer );
var y = new Float64Array( x.length*2 );
var out = readDataView.ndarray( x.length, view, -8, 24, y, 2, 1, true );
// e.g., returns <Float64Array>[ 0.0, 4.0, 0.0, 3.0, 0.0, 2.0, 0.0, 1.0 ]
var bool = ( out === y );
// returns true
var DataView = require( '@stdlib/array-dataview' );
var typedarray = require( '@stdlib/array-typed' );
var bytesPerElement = require( '@stdlib/ndarray-base-bytes-per-element' );
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var IS_LITTLE_ENDIAN = require( '@stdlib/assert-is-little-endian' );
var logEach = require( '@stdlib/console-log-each' );
var readDataView = require( '@stdlib/strided-base-read-dataview' );
// Specify the array data type:
var dtype = 'float64';
// Resolve the number of bytes per element:
var nbytes = bytesPerElement( dtype );
// Generate an array of random numbers:
var x = discreteUniform( 10, 0, 100, {
'dtype': dtype
});
// Create a DataView:
var view = new DataView( x.buffer );
// Create an output array:
var out = typedarray( x.length, dtype );
// Read elements from the DataView according to host byte order:
readDataView( out.length, view, nbytes, out, 1, IS_LITTLE_ENDIAN );
// Print the results:
logEach( '%d -> %d', x, out );
// Read elements from the DataView according to the opposite byte order:
readDataView( out.length, view, nbytes, out, 1, !IS_LITTLE_ENDIAN );
// Print the results:
logEach( '%d -> %d', x, out );
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
Copyright © 2016-2025. The Stdlib Authors.