time-to-botec

Benchmark sampling in different programming languages
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factory.js (1746B)


      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 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Returns a function for evaluating the cumulative distribution function (CDF) of a degenerate distribution centered at a provided mean value.
     31 *
     32 * @param {number} mu - constant value of distribution
     33 * @returns {Function} function to evaluate the cumulative distribution function
     34 *
     35 * @example
     36 * var cdf = factory( 5.0 );
     37 *
     38 * var y = cdf( 3.0 );
     39 * // returns 0.0
     40 *
     41 * y = cdf( 6.0 );
     42 * // returns 1.0
     43 *
     44 * y = cdf( NaN );
     45 * // returns NaN
     46 */
     47 function factory( mu ) {
     48 	if ( isnan( mu ) ) {
     49 		return constantFunction( NaN );
     50 	}
     51 	return cdf;
     52 
     53 	/**
     54 	* Evaluates the cumulative distribution function (CDF) of a degenerate distribution.
     55 	*
     56 	* @private
     57 	* @param {number} x - input value
     58 	* @returns {Probability} evaluated cumulative distribution function
     59 	*
     60 	* @example
     61 	* var y = cdf( 10.0 );
     62 	* // returns <number>
     63 	*/
     64 	function cdf( x ) {
     65 		if ( isnan( x ) ) {
     66 			return NaN;
     67 		}
     68 		return (x < mu) ? 0.0 : 1.0;
     69 	}
     70 }
     71 
     72 
     73 // EXPORTS //
     74 
     75 module.exports = factory;