Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x | /**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
/**
* WebAssembly routine to compute the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
*
* @module @stdlib/blas/ext/base/wasm/snansumpw
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
* var snansumpw = require( '@stdlib/blas/ext/base/wasm/snansumpw' );
*
* // Define a strided array:
* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* // Perform operation:
* var v = snansumpw.main( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
* var snansumpw = require( '@stdlib/blas/ext/base/wasm/snansumpw' );
*
* // Define a strided array:
* var x = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
*
* // Perform operation:
* var v = snansumpw.ndarray( 4, x, 2, 1 );
* // returns 5.0
*
* @example
* var Memory = require( '@stdlib/wasm/memory' );
* var oneTo = require( '@stdlib/array/one-to' );
* var snansumpw = require( '@stdlib/blas/ext/base/wasm/snansumpw' );
*
* // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB):
* var mem = new Memory({
* 'initial': 10,
* 'maximum': 100
* });
*
* // Create a BLAS routine:
* var mod = new snansumpw.Module( mem );
* // returns <Module>
*
* // Initialize the routine:
* mod.initializeSync();
*
* // Define a vector data type:
* var dtype = 'float32';
*
* // Specify a vector length:
* var N = 3;
*
* // Define a pointer (i.e., byte offset) for storing the input vector:
* var xptr = 0;
*
* // Write vector values to module memory:
* mod.write( xptr, oneTo( N, dtype ) );
*
* // Perform computation:
* var v = mod.main( N, xptr, 1 );
* // returns 6.0
*/
// MODULES //
var main = require( './main.js' );
// EXPORTS //
module.exports = main;
// exports: { "Module": "main.Module" }
|