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 | 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 84x 330x 42x 42x 42x 42x 42x 288x 288x 42x 84x 13x 13x 13x 13x 13x | /**
* @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';
// MAIN //
/**
* Tests whether at least `n` elements in an ndarray are truthy.
*
* @private
* @param {Object} x - object containing ndarray meta data
* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
* @param {string} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} x.accessors - data buffer accessors
* @param {PositiveInteger} n - number of elements
* @returns {boolean} boolean indicating whether at least `n` elements are truthy
*
* @example
* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
* var accessors = require( '@stdlib/array/base/accessors' );
*
* // Create a data buffer:
* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
*
* // Define the shape of the input array:
* var shape = [ 4 ];
*
* // Define the array strides:
* var sx = [ 2 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Create the input ndarray-like object:
* var x = {
* 'ref': null,
* 'dtype': 'generic',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major',
* 'accessors': accessors( xbuf ).accessors
* };
*
* // Test elements:
* var out = some1d( x, 4 );
* // returns true
*/
function some1d( x, n ) {
var count;
var xbuf;
var get;
var dx0;
var S0;
var ix;
var i0;
// Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
// Extract loop variables: dimensions and loop offset (pointer) increments...
S0 = x.shape[ 0 ];
dx0 = x.strides[ 0 ];
// Set a pointer to the first indexed element:
ix = x.offset;
// Cache a reference to the input ndarray buffer:
xbuf = x.data;
// Cache accessor:
get = x.accessors[ 0 ];
// Initialize a counter:
count = 0;
// Iterate over the ndarray dimensions...
for ( i0 = 0; i0 < S0; i0++ ) {
if ( get( xbuf, ix ) ) {
count += 1;
if ( count === n ) {
return true;
}
}
ix += dx0;
}
return false;
}
// EXPORTS //
module.exports = some1d;
|