time-to-botec

Benchmark sampling in different programming languages
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factory.js (7161B)


      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 setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
     24 var setReadOnlyAccessor = require( '@stdlib/utils/define-nonenumerable-read-only-accessor' );
     25 var setReadWriteAccessor = require( '@stdlib/utils/define-nonenumerable-read-write-accessor' );
     26 var isObject = require( '@stdlib/assert/is-plain-object' );
     27 var isProbability = require( '@stdlib/assert/is-probability' ).isPrimitive;
     28 var isFunction = require( '@stdlib/assert/is-function' );
     29 var hasOwnProp = require( '@stdlib/assert/has-own-property' );
     30 var constantFunction = require( '@stdlib/utils/constant-function' );
     31 var noop = require( '@stdlib/utils/noop' );
     32 var randu = require( './../../../base/mt19937' ).factory;
     33 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     34 var typedarray2json = require( '@stdlib/array/to-json' );
     35 
     36 
     37 // MAIN //
     38 
     39 /**
     40 * Returns a pseudorandom number generator for generating Bernoulli distributed random numbers.
     41 *
     42 * @param {Probability} [p] - success probability
     43 * @param {Options} [options] - function options
     44 * @param {PRNG} [options.prng] - pseudorandom number generator which generates uniformly distributed pseudorandom numbers
     45 * @param {PRNGSeedMT19937} [options.seed] - pseudorandom number generator seed
     46 * @param {PRNGStateMT19937} [options.state] - pseudorandom number generator state
     47 * @param {boolean} [options.copy=true] - boolean indicating whether to copy a provided pseudorandom number generator state
     48 * @throws {TypeError} `p` must be a probability
     49 * @throws {TypeError} options argument must be an object
     50 * @throws {TypeError} must provide valid options
     51 * @throws {Error} must provide a valid state
     52 * @returns {PRNG} pseudorandom number generator
     53 *
     54 * @example
     55 * var bernoulli = factory( 0.5 );
     56 * var v = bernoulli();
     57 * // returns <number>
     58 *
     59 * @example
     60 * var bernoulli = factory( 0.8, {
     61 *     'seed': 297
     62 * });
     63 * var v = bernoulli();
     64 * // returns <number>
     65 *
     66 * @example
     67 * var bernoulli = factory();
     68 * var v = bernoulli( 0.5 );
     69 * // returns <number>
     70 */
     71 function factory() {
     72 	var opts;
     73 	var rand;
     74 	var prng;
     75 	var p;
     76 
     77 	if ( arguments.length === 0 ) {
     78 		rand = randu();
     79 	} else if (
     80 		arguments.length === 1 &&
     81 		isObject( arguments[ 0 ] )
     82 	) {
     83 		opts = arguments[ 0 ];
     84 		if ( hasOwnProp( opts, 'prng' ) ) {
     85 			if ( !isFunction( opts.prng ) ) {
     86 				throw new TypeError( 'invalid option. `prng` option must be a pseudorandom number generator function. Option: `' + opts.prng + '`.' );
     87 			}
     88 			rand = opts.prng;
     89 		} else {
     90 			rand = randu( opts );
     91 		}
     92 	} else {
     93 		p = arguments[ 0 ];
     94 		if ( !isProbability( p ) ) {
     95 			throw new TypeError( 'invalid argument. First argument must be a probability. Value: `' + p + '`.' );
     96 		}
     97 		if ( arguments.length > 1 ) {
     98 			opts = arguments[ 1 ];
     99 			if ( !isObject( opts ) ) {
    100 				throw new TypeError( 'invalid argument. Options argument must be an object. Value: `' + opts + '`.' );
    101 			}
    102 			if ( hasOwnProp( opts, 'prng' ) ) {
    103 				if ( !isFunction( opts.prng ) ) {
    104 					throw new TypeError( 'invalid option. `prng` option must be a pseudorandom number generator function. Option: `' + opts.prng + '`.' );
    105 				}
    106 				rand = opts.prng;
    107 			} else {
    108 				rand = randu( opts );
    109 			}
    110 		} else {
    111 			rand = randu();
    112 		}
    113 	}
    114 	if ( p === void 0 ) {
    115 		prng = bernoulli2;
    116 	} else {
    117 		prng = bernoulli1;
    118 	}
    119 	setReadOnly( prng, 'NAME', 'bernoulli' );
    120 
    121 	// If we are provided an "external" PRNG, we don't support getting or setting PRNG state, as we'd need to check for compatible state value types, etc, entailing considerable complexity.
    122 	if ( opts && opts.prng ) {
    123 		setReadOnly( prng, 'seed', null );
    124 		setReadOnly( prng, 'seedLength', null );
    125 		setReadWriteAccessor( prng, 'state', constantFunction( null ), noop );
    126 		setReadOnly( prng, 'stateLength', null );
    127 		setReadOnly( prng, 'byteLength', null );
    128 		setReadOnly( prng, 'toJSON', constantFunction( null ) );
    129 		setReadOnly( prng, 'PRNG', rand );
    130 	} else {
    131 		setReadOnlyAccessor( prng, 'seed', getSeed );
    132 		setReadOnlyAccessor( prng, 'seedLength', getSeedLength );
    133 		setReadWriteAccessor( prng, 'state', getState, setState );
    134 		setReadOnlyAccessor( prng, 'stateLength', getStateLength );
    135 		setReadOnlyAccessor( prng, 'byteLength', getStateSize );
    136 		setReadOnly( prng, 'toJSON', toJSON );
    137 		setReadOnly( prng, 'PRNG', rand );
    138 		rand = rand.normalized;
    139 	}
    140 	return prng;
    141 
    142 	/**
    143 	* Returns the PRNG seed.
    144 	*
    145 	* @private
    146 	* @returns {PRNGSeedMT19937} seed
    147 	*/
    148 	function getSeed() {
    149 		return rand.seed;
    150 	}
    151 
    152 	/**
    153 	* Returns the PRNG seed length.
    154 	*
    155 	* @private
    156 	* @returns {PositiveInteger} seed length
    157 	*/
    158 	function getSeedLength() {
    159 		return rand.seedLength;
    160 	}
    161 
    162 	/**
    163 	* Returns the PRNG state length.
    164 	*
    165 	* @private
    166 	* @returns {PositiveInteger} state length
    167 	*/
    168 	function getStateLength() {
    169 		return rand.stateLength;
    170 	}
    171 
    172 	/**
    173 	* Returns the PRNG state size (in bytes).
    174 	*
    175 	* @private
    176 	* @returns {PositiveInteger} state size (in bytes)
    177 	*/
    178 	function getStateSize() {
    179 		return rand.byteLength;
    180 	}
    181 
    182 	/**
    183 	* Returns the current pseudorandom number generator state.
    184 	*
    185 	* @private
    186 	* @returns {PRNGStateMT19937} current state
    187 	*/
    188 	function getState() {
    189 		return rand.state;
    190 	}
    191 
    192 	/**
    193 	* Sets the pseudorandom number generator state.
    194 	*
    195 	* @private
    196 	* @param {PRNGStateMT19937} s - generator state
    197 	* @throws {Error} must provide a valid state
    198 	*/
    199 	function setState( s ) {
    200 		rand.state = s;
    201 	}
    202 
    203 	/**
    204 	* Serializes the pseudorandom number generator as a JSON object.
    205 	*
    206 	* ## Notes
    207 	*
    208 	* -   `JSON.stringify()` implicitly calls this method when stringifying a PRNG.
    209 	*
    210 	* @private
    211 	* @returns {Object} JSON representation
    212 	*/
    213 	function toJSON() {
    214 		var out = {};
    215 		out.type = 'PRNG';
    216 		out.name = prng.NAME;
    217 		out.state = typedarray2json( rand.state );
    218 		if ( p === void 0 ) {
    219 			out.params = [];
    220 		} else {
    221 			out.params = [ p ];
    222 		}
    223 		return out;
    224 	}
    225 
    226 	/**
    227 	* Returns a pseudorandom number drawn from a Bernoulli distribution with bound parameter `p`.
    228 	*
    229 	* @private
    230 	* @returns {NonNegativeInteger} pseudorandom number
    231 	*
    232 	* @example
    233 	* var v = bernoulli1();
    234 	* // returns <number>
    235 	*/
    236 	function bernoulli1() {
    237 		return ( rand() <= p ) ? 1 : 0;
    238 	}
    239 
    240 	/**
    241 	* Returns a pseudorandom number drawn from a Bernoulli distribution with parameter `p`.
    242 	*
    243 	* @private
    244 	* @param {Probability} p - success probability
    245 	* @returns {NonNegativeInteger} pseudorandom number
    246 	*
    247 	* @example
    248 	* var v = bernoulli2( 0.5 );
    249 	* // returns <number>
    250 	*/
    251 	function bernoulli2( p ) {
    252 		if (
    253 			isnan( p ) ||
    254 			p < 0.0 ||
    255 			p > 1.0
    256 		) {
    257 			return NaN;
    258 		}
    259 		return ( rand() <= p ) ? 1 : 0;
    260 	}
    261 }
    262 
    263 
    264 // EXPORTS //
    265 
    266 module.exports = factory;