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isBufferLengthCompatible
Determine if a buffer length is compatible with ndarray meta data.
Installation
npm install @stdlib/ndarray-base-assert-is-buffer-length-compatibleUsage
var isBufferLengthCompatible = require( '@stdlib/ndarray-base-assert-is-buffer-length-compatible' );isBufferLengthCompatible( len, shape, strides, offset )
Returns a boolean indicating if a buffer length is compatible with provided ndarray meta data.
var shape = [ 2, 2 ];
var strides = [ 2, 1 ];
var offset = 25;
var bool = isBufferLengthCompatible( 30, shape, strides, offset );
// returns true
bool = isBufferLengthCompatible( 4, shape, strides, offset );
// returns falseExamples
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var shape2strides = require( '@stdlib/ndarray-base-shape2strides' );
var strides2offset = require( '@stdlib/ndarray-base-strides2offset' );
var randu = require( '@stdlib/random-base-randu' );
var isBufferLengthCompatible = require( '@stdlib/ndarray-base-assert-is-buffer-length-compatible' );
var strides;
var offset;
var shape;
var bool;
var len;
var i;
var j;
len = 500; // buffer length
shape = [ 0, 0, 0 ];
for ( i = 0; i < 100; i++ ) {
// Generate a random array shape:
shape[ 0 ] = discreteUniform( 1, 10 );
shape[ 1 ] = discreteUniform( 1, 10 );
shape[ 2 ] = discreteUniform( 1, 10 );
// Generate strides:
if ( randu() < 0.5 ) {
strides = shape2strides( shape, 'row-major' );
} else {
strides = shape2strides( shape, 'column-major' );
}
j = discreteUniform( 0, shape.length-1 );
strides[ j ] *= ( randu() < 0.5 ) ? -1 : 1;
// Compute the index offset:
offset = strides2offset( shape, strides ) + discreteUniform( 0, 200 );
// Determine if a buffer length is compatible with generated meta data:
bool = isBufferLengthCompatible( len, shape, strides, offset );
console.log( 'Buffer length: %d. Shape: %s. Strides: %s. Offset: %d. Compatible: %s.', len, shape.join( 'x' ), strides.join( ',' ), offset, bool );
}Notice
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.
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License
See LICENSE.
Copyright
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