time-to-botec

Benchmark sampling in different programming languages
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factory.js (2007B)


      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 constantFunction = require( '@stdlib/utils/constant-function' );
     24 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     25 var exp = require( '@stdlib/math/base/special/exp' );
     26 var ln = require( '@stdlib/math/base/special/ln' );
     27 var NINF = require( '@stdlib/constants/float64/ninf' );
     28 
     29 
     30 // MAIN //
     31 
     32 /**
     33 * Returns a function for evaluating the logarithm of the probability density function (PDF) for a Gumbel distribution with location parameter `mu` and scale parameter `beta`.
     34 *
     35 * @param {number} mu - location parameter
     36 * @param {PositiveNumber} beta - scale parameter
     37 * @returns {Function} logPDF
     38 *
     39 * @example
     40 * var logpdf = factory( 0.0, 2.0 );
     41 * var y = logpdf( 0.0 );
     42 * // returns ~-1.693
     43 */
     44 function factory( mu, beta ) {
     45 	var lbeta;
     46 	if (
     47 		isnan( mu ) ||
     48 		isnan( beta ) ||
     49 		beta <= 0.0
     50 	) {
     51 		return constantFunction( NaN );
     52 	}
     53 	lbeta = ln( beta );
     54 	return logpdf;
     55 
     56 	/**
     57 	* Evaluates the logarithm of the probability density function (PDF) for a Gumbel distribution.
     58 	*
     59 	* @private
     60 	* @param {number} x - input value
     61 	* @returns {number} evaluated logPDF
     62 	*
     63 	* @example
     64 	* var y = logpdf( 2.3 );
     65 	* // returns <number>
     66 	*/
     67 	function logpdf( x ) {
     68 		var z;
     69 		if ( isnan( x ) ) {
     70 			return NaN;
     71 		}
     72 		if ( x === NINF ) {
     73 			return 0.0;
     74 		}
     75 		z = ( x - mu ) / beta;
     76 		return -z - exp( -z ) - lbeta;
     77 	}
     78 }
     79 
     80 
     81 // EXPORTS //
     82 
     83 module.exports = factory;