time-to-botec

Benchmark sampling in different programming languages
Log | Files | Refs | README

README.md (7341B)


      1 <!--
      2 
      3 @license Apache-2.0
      4 
      5 Copyright (c) 2018 The Stdlib Authors.
      6 
      7 Licensed under the Apache License, Version 2.0 (the "License");
      8 you may not use this file except in compliance with the License.
      9 You may obtain a copy of the License at
     10 
     11    http://www.apache.org/licenses/LICENSE-2.0
     12 
     13 Unless required by applicable law or agreed to in writing, software
     14 distributed under the License is distributed on an "AS IS" BASIS,
     15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     16 See the License for the specific language governing permissions and
     17 limitations under the License.
     18 
     19 -->
     20 
     21 # randn
     22 
     23 > Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.
     24 
     25 <section class="usage">
     26 
     27 ## Usage
     28 
     29 ```javascript
     30 var iterator = require( '@stdlib/random/iter/randn' );
     31 ```
     32 
     33 #### iterator( \[options] )
     34 
     35 Returns an iterator for generating pseudorandom numbers drawn from a standard normal distribution.
     36 
     37 ```javascript
     38 var it = iterator();
     39 // returns <Object>
     40 
     41 var r = it.next().value;
     42 // returns <number>
     43 
     44 r = it.next().value;
     45 // returns <number>
     46 
     47 r = it.next().value;
     48 // returns <number>
     49 
     50 // ...
     51 ```
     52 
     53 The function accepts the following `options`:
     54 
     55 -   **name**: name of a supported pseudorandom number generator (PRNG), which will serve as the underlying source of pseudorandom numbers. The following PRNGs are supported:
     56 
     57     -   [`improved-ziggurat`][@stdlib/random/base/improved-ziggurat]: https://www.npmjs.com/package/@stdlib/random/tree/main/base/improved-ziggurat
     58     -   [`box-muller`][@stdlib/random/base/box-muller]: https://www.npmjs.com/package/@stdlib/random/tree/main/base/box-muller
     59 
     60     Default: [`'improved-ziggurat'`][@stdlib/random/base/improved-ziggurat].
     61 
     62 -   **prng**: pseudorandom number generator for generating uniformly distributed pseudorandom numbers on the interval `[0,1)`. If provided, the function **ignores** both the `state` and `seed` options. In order to seed the returned iterator, one must seed the provided `prng` (assuming the provided `prng` is seedable).
     63 
     64 -   **seed**: pseudorandom number generator seed.
     65 
     66 -   **state**: a [`Uint32Array`][@stdlib/array/uint32] containing pseudorandom number generator state. If provided, the function ignores the `seed` option.
     67 
     68 -   **copy**: `boolean` indicating whether to copy a provided pseudorandom number generator state. Setting this option to `false` allows sharing state between two or more pseudorandom number generators. Setting this option to `true` ensures that a returned iterator has exclusive control over its internal pseudorandom number generator state. Default: `true`.
     69 
     70 -   **iter**: number of iterations.
     71 
     72 By default, the underlying pseudorandom number generator is [`improved-ziggurat`][@stdlib/random/base/improved-ziggurat]. To use a different PRNG, set the `name` option.
     73 
     74 ```javascript
     75 var it = iterator({
     76     'name': 'box-muller'
     77 });
     78 
     79 var r = it.next().value;
     80 // returns <number>
     81 ```
     82 
     83 To use a custom PRNG as the underlying source of uniformly distributed pseudorandom numbers, set the `prng` option.
     84 
     85 ```javascript
     86 var minstd = require( '@stdlib/random/base/minstd' );
     87 
     88 var it = iterator({
     89     'prng': minstd.normalized
     90 });
     91 
     92 var r = it.next().value;
     93 // returns <number>
     94 ```
     95 
     96 To return an iterator having a specific initial state, set the iterator `state` option.
     97 
     98 ```javascript
     99 var bool;
    100 var it1;
    101 var it2;
    102 var r;
    103 var i;
    104 
    105 it1 = iterator();
    106 
    107 // Generate pseudorandom numbers, thus progressing the generator state:
    108 for ( i = 0; i < 1000; i++ ) {
    109     r = it1.next().value;
    110 }
    111 
    112 // Create a new iterator initialized to the current state of `it1`:
    113 it2 = iterator({
    114     'state': it1.state
    115 });
    116 
    117 // Test that the generated pseudorandom numbers are the same:
    118 bool = ( it1.next().value === it2.next().value );
    119 // returns true
    120 ```
    121 
    122 To seed the iterator, set the `seed` option.
    123 
    124 ```javascript
    125 var it1 = iterator({
    126     'seed': 7823
    127 });
    128 
    129 var r1 = it1.next().value;
    130 // returns <number>
    131 
    132 var it2 = iterator({
    133     'seed': 7823
    134 });
    135 
    136 var r2 = it2.next().value;
    137 // returns <number>
    138 
    139 var bool = ( r1 === r2 );
    140 // returns true
    141 ```
    142 
    143 To limit the number of iterations, set the `iter` option.
    144 
    145 ```javascript
    146 var it = iterator({
    147     'iter': 2
    148 });
    149 
    150 var r = it.next().value;
    151 // returns <number>
    152 
    153 r = it.next().value;
    154 // returns <number>
    155 
    156 r = it.next().done;
    157 // returns true
    158 ```
    159 
    160 The returned iterator protocol-compliant object has the following properties:
    161 
    162 -   **next**: function which returns an iterator protocol-compliant object containing the next iterated value (if one exists) assigned to a `value` property and a `done` property having a `boolean` value indicating whether the iterator is finished.
    163 -   **return**: function which closes an iterator and returns a single (optional) argument in an iterator protocol-compliant object.
    164 -   **seed**: pseudorandom number generator seed. If provided a `prng` option, the property value is `null`.
    165 -   **seedLength**: length of generator seed. If provided a `prng` option, the property value is `null`.
    166 -   **state**: writable property for getting and setting the generator state. If provided a `prng` option, the property value is `null`.
    167 -   **stateLength**: length of generator state. If provided a `prng` option, the property value is `null`.
    168 -   **byteLength**: size (in bytes) of generator state. If provided a `prng` option, the property value is `null`.
    169 -   **PRNG**: underlying pseudorandom number generator.
    170 
    171 </section>
    172 
    173 <!-- /.usage -->
    174 
    175 <section class="notes">
    176 
    177 ## Notes
    178 
    179 -   If an environment supports `Symbol.iterator`, the returned iterator is iterable.
    180 -   **Warning**: the default underlying source of pseudorandom numbers may **change** in the future. If exact reproducibility is required, either explicitly specify a PRNG via the `name` option or use an underlying PRNG directly.
    181 -   If PRNG state is "shared" (meaning a state array was provided during iterator creation and **not** copied) and one sets the underlying generator state to a state array having a different length, the iterator does **not** update the existing shared state and, instead, points to the newly provided state array. In order to synchronize the output of the underlying generator according to the new shared state array, the state array for **each** relevant iterator and/or PRNG must be **explicitly** set.
    182 -   If PRNG state is "shared" and one sets the underlying generator state to a state array of the same length, the PRNG state is updated (along with the state of all other iterator and/or PRNGs sharing the PRNG's state array).
    183 
    184 </section>
    185 
    186 <!-- /.notes -->
    187 
    188 <section class="examples">
    189 
    190 ## Examples
    191 
    192 <!-- eslint no-undef: "error" -->
    193 
    194 ```javascript
    195 var iterator = require( '@stdlib/random/iter/randn' );
    196 
    197 var it;
    198 var r;
    199 
    200 // Create a seeded iterator for generating pseudorandom numbers:
    201 it = iterator({
    202     'seed': 1234,
    203     'iter': 10
    204 });
    205 
    206 // Perform manual iteration...
    207 while ( true ) {
    208     r = it.next();
    209     if ( r.done ) {
    210         break;
    211     }
    212     console.log( r.value );
    213 }
    214 ```
    215 
    216 </section>
    217 
    218 <!-- /.examples -->
    219 
    220 <section class="links">
    221 
    222 [@stdlib/random/base/improved-ziggurat]: https://www.npmjs.com/package/@stdlib/random/tree/main/base/improved-ziggurat
    223 
    224 [@stdlib/random/base/box-muller]: https://www.npmjs.com/package/@stdlib/random/tree/main/base/box-muller
    225 
    226 [@stdlib/array/uint32]: https://www.npmjs.com/package/@stdlib/array-uint32
    227 
    228 </section>
    229 
    230 <!-- /.links -->