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Determine if a buffer length is compatible with ndarray meta data.
import isBufferLengthCompatible from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-assert-is-buffer-length-compatible@deno/mod.js';
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 false
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform@deno/mod.js';
import shape2strides from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-shape2strides@deno/mod.js';
import strides2offset from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-strides2offset@deno/mod.js';
import randu from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@deno/mod.js';
import isBufferLengthCompatible from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-assert-is-buffer-length-compatible@deno/mod.js';
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 );
}
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.
See LICENSE.
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