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Serialize ndarray meta data.
npm install @stdlib/ndarray-base-serialize-meta-dataAlternatively,
- To load the package in a website via a
scripttag without installation and bundlers, use the ES Module available on theesmbranch (see README). - If you are using Deno, visit the
denobranch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umdbranch (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 serialize = require( '@stdlib/ndarray-base-serialize-meta-data' );Serializes ndarray meta data.
var array = require( '@stdlib/ndarray-array' );
var arr = array( [ [ 1, 2 ], [ 3, 4 ] ] );
var dv = serialize( arr );
// returns <DataView>-
Serialization is performed according to host byte order (endianness).
-
Meta data format:
| endianness (1 byte) | <dtype> (2 bytes) | <ndims> (8 bytes) | <shape> (ndims*8 bytes) | <strides> (ndims*8 bytes) | <offset> (8 bytes) | <order> (1 byte) | <mode> (1 byte) | <nsubmodes> (8 bytes) | <submodes> (nsubmodes*1 bytes) | <flags> (4 bytes) |which translates to the following
ArrayBufferlayout:ArrayBuffer[ <endianness>[int8], <dtype>[int16], <ndims>[int64], <shape>[ndims*int64], <strides>[ndims*int64], <offset>[int64], <order>[int8], <mode>[int8], <nsubmodes>[int64], <submodes>[nsubmodes*int8], <flags>[int32] ]where
stridesandoffsetare in units of bytes. -
If the endianness is
1, the byte order is little endian. If the endianness is0, the byte order is big endian. -
Buffer length:
1 + 2 + 8 + (ndims*8) + (ndims*8) + 8 + 1 + 1 + 8 + (nsubmodes*1) + 4 = 33 + (ndims*16) + nsubmodesFor example, consider a three-dimensional ndarray with one subscript index mode (submode):
33 + (3*16) + 1 = 82 bytes
var IS_LITTLE_ENDIAN = require( '@stdlib/assert-is-little-endian' );
var array = require( '@stdlib/ndarray-array' );
var Uint8Array = require( '@stdlib/array-uint8' );
var fromInt64Bytes = require( '@stdlib/number-float64-base-from-int64-bytes' );
var serialize = require( '@stdlib/ndarray-base-serialize-meta-data' );
// Create an ndarray:
var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
// Print various properties:
console.log( 'dtype: %s', x.dtype );
console.log( 'ndims: %d', x.ndims );
console.log( 'shape: [ %s ]', x.shape.join( ', ' ) );
console.log( 'strides: [ %s ]', x.strides.join( ', ' ) );
console.log( 'offset: %d', x.offset );
console.log( 'order: %s', x.order );
// Serialize ndarray meta data to a DataView:
var dv = serialize( x );
// returns <DataView>
// Create a Uint8Array view:
var bytes = new Uint8Array( dv.buffer );
// Extract the data type (enum):
var dtype = dv.getInt16( 1, IS_LITTLE_ENDIAN );
console.log( 'dtype (enum): %d', dtype );
// Extract the number of dimensions:
var ndims = fromInt64Bytes( bytes, 1, 3 );
console.log( 'ndims: %d', ndims );
// Extract the shape:
var shape = [];
var i;
for ( i = 0; i < ndims; i++ ) {
shape.push( fromInt64Bytes( bytes, 1, 11+(i*8) ) );
}
console.log( 'shape: [ %s ]', shape.join( ', ' ) );
// Extract the strides (in units of bytes):
var strides = [];
for ( i = 0; i < ndims; i++ ) {
strides.push( fromInt64Bytes( bytes, 1, 11+(ndims*8)+(i*8) ) );
}
console.log( 'strides (bytes): [ %s ]', strides.join( ', ' ) );
// Extract the index offset (in bytes):
var offset = fromInt64Bytes( bytes, 1, 11+(ndims*16) );
console.log( 'offset (bytes): %d', offset );
// Extract the order (enum):
var order = dv.getInt8( 19+(ndims*16) );
console.log( 'order (enum): %d', order );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.
