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Serialize Meta Data

Serialize ndarray meta data.

Usage

import serialize from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-serialize-meta-data@deno/mod.js';

serialize( x )

Serializes ndarray meta data.

import array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-array@deno/mod.js';

var arr = array( [ [ 1, 2 ], [ 3, 4 ] ] );
var dv = serialize( arr );
// returns <DataView>

Notes

• 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 ArrayBuffer layout:

  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 strides and offset are in units of bytes.

• If the endianness is 1, the byte order is little endian. If the endianness is 0, 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) + nsubmodes
  

  For example, consider a three-dimensional ndarray with one subscript index mode (submode):

  33 + (3*16) + 1 = 82 bytes
  

Examples

import IS_LITTLE_ENDIAN from 'https://cdn.jsdelivr.net/gh/stdlib-js/assert-is-little-endian@deno/mod.js';
import array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-array@deno/mod.js';
import Uint8Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-uint8@deno/mod.js';
import fromInt64Bytes from 'https://cdn.jsdelivr.net/gh/stdlib-js/number-float64-base-from-int64-bytes@deno/mod.js';
import serialize from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-serialize-meta-data@deno/mod.js';

// 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 );

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Notice

This package is part of stdlib, a standard library 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.

Community

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License

See LICENSE.

Copyright

Copyright © 2016-2025. The Stdlib Authors.