All files / strided/mediansorted/lib accessors.js

68.83% Statements 53/77
100% Branches 1/1
0% Functions 0/1
68.83% Lines 53/77

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 781x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x                                                 1x 1x 1x 1x 1x  
/**
* @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 floor = require( '@stdlib/math/base/special/floor' );
 
 
// MAIN //
 
/**
* Computes the median value of a sorted strided array.
*
* @private
* @param {PositiveInteger} N - number of indexed elements
* @param {Object} x - input array object
* @param {Collection} x.data - input array data
* @param {Array<Function>} x.accessors - array element accessors
* @param {integer} strideX - strideX length
* @param {NonNegativeInteger} offsetX - starting index
* @returns {number} median value
*
* @example
* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
* var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
*
* var x = toAccessorArray( [ 2.0, -3.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
*
* var v = mediansorted( 4, arraylike2object( x ), 2, 1 );
* // returns 0.0
*/
function mediansorted( N, x, strideX, offsetX ) {
	var xbuf;
	var xget;
	var n;
	var m;

	// Cache references to array data:
	xbuf = x.data;

	// Cache references to element accessors:
	xget = x.accessors[ 0 ];

	if ( N <= 0 ) {
		return NaN;
	}
	n = N / 2;
	m = floor( n );
	if ( n === m ) {
		// Even number of elements...
		return ( xget( xbuf, offsetX+(m * strideX) ) + xget( xbuf, offsetX+((m-1) * strideX) ) ) / 2.0;
	}
	// Odd number of elements...
	return xget( xbuf, offsetX+(m * strideX) );
}
 
 
// EXPORTS //
 
module.exports = mediansorted;