time-to-botec

Benchmark sampling in different programming languages
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factory.js (1854B)


      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 NINF = require( '@stdlib/constants/float64/ninf' );
     26 
     27 
     28 // MAIN //
     29 
     30 /**
     31 * Returns a function for evaluating the natural logarithm of the cumulative distribution function (logCDF) of a degenerate distribution centered at a provided mean value.
     32 *
     33 * @param {number} mu - value at which to center the distribution
     34 * @returns {Function} logCDF
     35 *
     36 * @example
     37 * var logcdf = factory( 5.0 );
     38 *
     39 * var y = logcdf( 3.0 );
     40 * // returns -Infinity
     41 *
     42 * y = logcdf( 6.0 );
     43 * // returns 0.0
     44 *
     45 * y = logcdf( NaN );
     46 * // returns NaN
     47 */
     48 function factory( mu ) {
     49 	if ( isnan( mu ) ) {
     50 		return constantFunction( NaN );
     51 	}
     52 	return logcdf;
     53 
     54 	/**
     55 	* Evaluates the natural logarithm of the cumulative distribution function (logCDF) of a degenerate distribution.
     56 	*
     57 	* @private
     58 	* @param {number} x - input value
     59 	* @returns {number} natural logarithm of cumulative distribution function
     60 	*
     61 	* @example
     62 	* var y = logcdf( 10.0 );
     63 	* // returns <number>
     64 	*/
     65 	function logcdf( x ) {
     66 		if ( isnan( x ) ) {
     67 			return NaN;
     68 		}
     69 		return ( x < mu ) ? NINF : 0.0;
     70 	}
     71 }
     72 
     73 
     74 // EXPORTS //
     75 
     76 module.exports = factory;