time-to-botec

Benchmark sampling in different programming languages
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index.js (2112B)

      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2020 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 */
     18 
     19 'use strict';
     20 
     21 /**
     22 * Compute the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
     23 *
     24 * @module @stdlib/blas/ext/base/dsnannsumors
     25 *
     26 * @example
     27 * var Float32Array = require( '@stdlib/array/float32' );
     28 * var Float64Array = require( '@stdlib/array/float64' );
     29 * var dsnannsumors = require( '@stdlib/blas/ext/base/dsnannsumors' );
     30 *
     31 * var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
     32 * var out = new Float64Array( 2 );
     33 *
     34 * var v = dsnannsumors( x.length, x, 1, out, 1 );
     35 * // returns <Float64Array>[ 1.0, 3 ]
     36 *
     37 * @example
     38 * var Float32Array = require( '@stdlib/array/float32' );
     39 * var Float64Array = require( '@stdlib/array/float64' );
     40 * var floor = require( '@stdlib/math/base/special/floor' );
     41 * var dsnannsumors = require( '@stdlib/blas/ext/base/dsnannsumors' );
     42 *
     43 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
     44 * var out = new Float64Array( 2 );
     45 *
     46 * var N = floor( x.length / 2 );
     47 *
     48 * var v = dsnannsumors.ndarray( N, x, 2, 1, out, 1, 0 );
     49 * // returns <Float64Array>[ 5.0, 4 ]
     50 */
     51 
     52 // MODULES //
     53 
     54 var join = require( 'path' ).join;
     55 var tryRequire = require( '@stdlib/utils/try-require' );
     56 var dsnannsumors = require( './main.js' );
     57 
     58 
     59 // MAIN //
     60 
     61 var tmp = tryRequire( join( __dirname, './native.js' ) );
     62 if ( !(tmp instanceof Error) ) {
     63 	dsnannsumors = tmp;
     64 }
     65 
     66 
     67 // EXPORTS //
     68 
     69 module.exports = dsnannsumors;