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 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 | 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 13x 13x 1x 1x 12x 12x 12x 12x 13x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 16x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 7x 32x 32x 32x 32x 32x 32x 32x 32x 32x 32x 32x 7x 7x 7x 7x 7x 7x | /**
* @license Apache-2.0
*
* Copyright (c) 2025 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.
*/
/* eslint-disable max-len, no-restricted-syntax, no-invalid-this */
'use strict';
// MODULES //
var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
var inherits = require( '@stdlib/utils/inherit' );
var stride2offset = require( '@stdlib/strided/base/stride2offset' );
var Memory = require( '@stdlib/wasm/memory' );
var arrays2ptrs = require( '@stdlib/wasm/base/arrays2ptrs' );
var strided2object = require( '@stdlib/wasm/base/strided2object' );
var Module = require( './module.js' );
// MAIN //
/**
* Routine constructor.
*
* @private
* @constructor
* @returns {Routine} routine instance
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Create a new routine:
* var dnanasumors = new Routine();
*
* // Initialize the module:
* dnanasumors.initializeSync();
*
* // Define a strided array:
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* // Perform operation:
* var v = dnanasumors.main( 4, x, 1 );
* // returns 5.0
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Create a new routine:
* var dnanasumors = new Routine();
*
* // Initialize the module:
* dnanasumors.initializeSync();
*
* // Define a strided array:
* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
*
* // Perform operation:
* var v = dnanasumors.ndarray( 4, x, 2, 1 );
* // returns 9.0
*/
function Routine() {
if ( !( this instanceof Routine ) ) {
return new Routine();
}
Module.call( this, new Memory({
'initial': 0
}));
return this;
}
// Inherit from the parent constructor:
inherits( Routine, Module );
/**
* Compute the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
*
* @name main
* @memberof Routine.prototype
* @readonly
* @type {Function}
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
* @param {integer} strideX - stride length
* @returns {number} sum
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Create a new routine:
* var dnanasumors = new Routine();
*
* // Initialize the module:
* dnanasumors.initializeSync();
*
* // Define a strided array:
* var x = new Float64Array( [ 1.0, NaN, -2.0, 2.0 ] );
*
* // Perform operation:
* var v = dnanasumors.main( 4, x, 1 );
* // returns 5.0
*/
setReadOnly( Routine.prototype, 'main', function dnanasumors( N, x, strideX ) {
return this.ndarray( N, x, strideX, stride2offset( N, strideX ) );
});
/**
* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics.
*
* @name ndarray
* @memberof Routine.prototype
* @readonly
* @type {Function}
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
* @param {integer} strideX - stride length
* @param {NonNegativeInteger} offsetX - starting index
* @returns {number} sum
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Create a new routine:
* var dnanasumors = new Routine();
*
* // Initialize the module:
* dnanasumors.initializeSync();
*
* // Define a strided array:
* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
*
* // Perform operation:
* var v = dnanasumors.ndarray( 4, x, 2, 1 );
* // returns 9.0
*/
setReadOnly( Routine.prototype, 'ndarray', function dnanasumors( N, x, strideX, offsetX ) {
var ptrs;
var p0;
// Convert the input arrays to "pointers" in the module's memory:
ptrs = arrays2ptrs( this, [
strided2object( N, x, strideX, offsetX )
]);
p0 = ptrs[ 0 ];
// Perform computation by calling the corresponding parent method:
return Module.prototype.ndarray.call( this, N, p0.ptr, p0.stride, p0.offset );
});
// EXPORTS //
module.exports = Routine;
|