time-to-botec

Benchmark sampling in different programming languages
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median.js (1626B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2018 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 */
     18 
     19 'use strict';
     20 
     21 // MODULES //
     22 
     23 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     24 var pow = require( '@stdlib/math/base/special/pow' );
     25 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Returns the median of a Kumaraswamy's double bounded distribution.
     31 *
     32 * @param {PositiveNumber} a - first shape parameter
     33 * @param {PositiveNumber} b - second shape parameter
     34 * @returns {PositiveNumber} median
     35 *
     36 * @example
     37 * var v = median( 0.5, 1.0 );
     38 * // returns 0.25
     39 *
     40 * @example
     41 * var v = median( 4.0, 12.0 );
     42 * // returns ~0.487
     43 *
     44 * @example
     45 * var v = median( 12.0, 2.0 );
     46 * // returns ~0.903
     47 *
     48 * @example
     49 * var v = median( 1.0, -0.1 );
     50 * // returns NaN
     51 *
     52 * @example
     53 * var v = median( -0.1, 1.0 );
     54 * // returns NaN
     55 *
     56 * @example
     57 * var v = median( 2.0, NaN );
     58 * // returns NaN
     59 *
     60 * @example
     61 * var v = median( NaN, 2.0 );
     62 * // returns NaN
     63 */
     64 function median( a, b ) {
     65 	if (
     66 		isnan( a ) ||
     67 		a <= 0.0 ||
     68 		isnan( b ) ||
     69 		b <= 0.0
     70 	) {
     71 		return NaN;
     72 	}
     73 	return pow( 1.0 - pow( 2.0, -1.0/b ), 1.0/a );
     74 }
     75 
     76 
     77 // EXPORTS //
     78 
     79 module.exports = median;