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 | 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 16x 16x 16x 16x 16x 16x 16x 16x 2x 2x 16x 1x 16x 13x 13x 16x 1x 16x 13x 13x 16x 18x 18x 8x 8x 10x 10x 10x 16x 6x 6x 8x 8x 16x 29x 29x 29x 6x 6x 23x 29x 4x 4x 29x 7x 7x 29x 8x 16x 2x 2x 2x 2x 2x | /** * @license Apache-2.0 * * Copyright (c) 2020 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); // MAIN // /** * Computes the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. * * @param {PositiveInteger} N - number of indexed elements * @param {Float64Array} x - input array * @param {integer} strideX - `x` stride length * @param {Uint8Array} mask - mask array * @param {integer} strideMask - `mask` stride length * @returns {number} minimum value * * @example * var Float64Array = require( '@stdlib/array/float64' ); * var Uint8Array = require( '@stdlib/array/uint8' ); * * var x = new Float64Array( [ 1.0, -2.0, -4.0, 2.0, NaN ] ); * var mask = new Uint8Array( [ 0, 0, 1, 0, 0 ] ); * * var v = dnanmskmin( x.length, x, 1, mask, 1 ); * // returns -2.0 */ function dnanmskmin( N, x, strideX, mask, strideMask ) { var min; var ix; var im; var v; var i; if ( N <= 0 ) { return NaN; } if ( strideX < 0 ) { ix = (1-N) * strideX; } else { ix = 0; } if ( strideMask < 0 ) { im = (1-N) * strideMask; } else { im = 0; } for ( i = 0; i < N; i++ ) { v = x[ ix ]; if ( v === v && mask[ im ] === 0 ) { break; } ix += strideX; im += strideMask; } if ( i === N ) { return NaN; } min = v; i += 1; for ( i; i < N; i++ ) { ix += strideX; im += strideMask; if ( mask[ im ] ) { continue; } v = x[ ix ]; if ( isnan( v ) ) { continue; } if ( v < min || ( v === min && isNegativeZero( v ) ) ) { min = v; } } return min; } // EXPORTS // module.exports = dnanmskmin; |