Calculate the sum of strided array elements, ignoring NaN values.
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Calculate the sum of strided array elements, ignoring
NaNvalues.
bash
npm install @stdlib/blas-ext-base-gnansumscript tag without installation and bundlers, use the [ES Module][es-module] available on the [esm][esm-url] branch (see [README][esm-readme]).deno][deno-url] branch (see [README][deno-readme] for usage intructions).umd][umd-url] branch (see [README][umd-readme]).javascript
var gnansum = require( '@stdlib/blas-ext-base-gnansum' );NaN values.javascript
var x = [ 1.0, -2.0, NaN, 2.0 ];
var v = gnansum( x.length, x, 1 );
// returns 1.0Array][mdn-array] or [typed array][mdn-typed-array].x.N and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of every other element:javascript
var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ];
var v = gnansum( 5, x, 2 );
// returns 5.0typed array][mdn-typed-array] views.javascript
var Float64Array = require( '@stdlib/array-float64' );
var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var v = gnansum( 4, x1, 2 );
// returns 5.0NaN values and using alternative indexing semantics.javascript
var x = [ 1.0, -2.0, NaN, 2.0 ];
var v = gnansum.ndarray( x.length, x, 1, 0 );
// returns 1.0x.typed array][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the sum of every other element starting from the second element:javascript
var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ];
var v = gnansum.ndarray( 5, x, 2, 1 );
// returns 5.0N <= 0, both functions return 0.0.@stdlib/array-base/accessor][@stdlib/array/base/accessor])dnansum][@stdlib/blas/ext/base/dnansum], [snansum][@stdlib/blas/ext/base/snansum], etc.) are likely to be significantly more performant.javascript
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var bernoulli = require( '@stdlib/random-base-bernoulli' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var gnansum = require( '@stdlib/blas-ext-base-gnansum' );
function rand() {
if ( bernoulli( 0.7 ) > 0 ) {
return discreteUniform( 0, 100 );
}
return NaN;
}
var x = filledarrayBy( 10, 'float64', rand );
console.log( x );
var v = gnansum( x.length, x, 1 );
console.log( v );
