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 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 11x 11x 11x 11x 11x 11x 11x 11x 11x 11x 4x 4x 7x 7x 7x 7x 7x 7x 7x 11x 3x 3x 3x 3x 3x | /** * @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. */ 'use strict'; // MODULES // var gsumpw = require( '@stdlib/blas/ext/base/gsumpw' ).ndarray; var gapxsumpw = require( '@stdlib/blas/ext/base/gapxsumpw' ).ndarray; // MAIN // /** * Computes the arithmetic mean of a strided array using a two-pass error correction algorithm. * * @private * @param {PositiveInteger} N - number of indexed elements * @param {Object} x - input array object * @param {integer} strideX - stride length * @param {NonNegativeInteger} offsetX - starting index * @returns {number} arithmetic mean * * @example * var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); * var arraylike2object = require( '@stdlib/array/base/arraylike2object' ); * * var x = toAccessorArray( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); * * var v = meanpn( 4, arraylike2object( x ), 2, 1 ); * // returns 1.25 */ function meanpn( N, x, strideX, offsetX ) { var xbuf; var get; var mu; var c; xbuf = x.data; get = x.accessors[ 0 ]; if ( N === 1 || strideX === 0 ) { return get( xbuf, offsetX ); } // Compute an estimate for the meanpn: mu = gsumpw( N, xbuf, strideX, offsetX ) / N; // Compute an error term: c = gapxsumpw( N, -mu, xbuf, strideX, offsetX ) / N; return mu + c; } // EXPORTS // module.exports = meanpn; |