# @stdlib/random-iter-bernoulli

0.2.1 • Public • Published

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# Bernoulli Random Numbers

Create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.

## Installation

`npm install @stdlib/random-iter-bernoulli`

## Usage

`var iterator = require( '@stdlib/random-iter-bernoulli' );`

#### iterator( p[, options] )

Returns an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution with success probability `p`.

```var it = iterator( 0.3 );
// returns <Object>

var r = it.next().value;
// returns <number>

r = it.next().value;
// returns <number>

r = it.next().value;
// returns <number>

// ...```

If `p < 0` or `p > 1`, the function throws an error.

```var it = iterator( 1.2 );
// throws <TypeError>```

The function accepts the following `options`:

• 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).
• seed: pseudorandom number generator seed.
• state: a `Uint32Array` containing pseudorandom number generator state. If provided, the function ignores the `seed` option.
• 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`.
• iter: number of iterations.

To use a custom PRNG as the underlying source of uniformly distributed pseudorandom numbers, set the `prng` option.

```var minstd = require( '@stdlib/random-base-minstd' );

var it = iterator( 0.5, {
'prng': minstd.normalized
});

var r = it.next().value;
// returns <number>```

To return an iterator having a specific initial state, set the iterator `state` option.

```var bool;
var it1;
var it2;
var r;
var i;

it1 = iterator( 0.5 );

// Generate pseudorandom numbers, thus progressing the generator state:
for ( i = 0; i < 1000; i++ ) {
r = it1.next().value;
}

// Create a new iterator initialized to the current state of `it1`:
it2 = iterator( 0.5, {
'state': it1.state
});

// Test that the generated pseudorandom numbers are the same:
bool = ( it1.next().value === it2.next().value );
// returns true```

To seed the iterator, set the `seed` option.

```var it1 = iterator( 0.5, {
'seed': 12345
});

var r1 = it1.next().value;
// returns <number>

var it2 = iterator( 0.5, {
'seed': 12345
});

var r2 = it2.next().value;
// returns <number>

var bool = ( r1 === r2 );
// returns true```

To limit the number of iterations, set the `iter` option.

```var it = iterator( 0.5, {
'iter': 2
});

var r = it.next().value;
// returns <number>

r = it.next().value;
// returns <number>

r = it.next().done;
// returns true```

The returned iterator protocol-compliant object has the following properties:

• 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.
• return: function which closes an iterator and returns a single (optional) argument in an iterator protocol-compliant object.
• seed: pseudorandom number generator seed. If provided a `prng` option, the property value is `null`.
• seedLength: length of generator seed. If provided a `prng` option, the property value is `null`.
• state: writable property for getting and setting the generator state. If provided a `prng` option, the property value is `null`.
• stateLength: length of generator state. If provided a `prng` option, the property value is `null`.
• byteLength: size (in bytes) of generator state. If provided a `prng` option, the property value is `null`.
• PRNG: underlying pseudorandom number generator.

## Notes

• If an environment supports `Symbol.iterator`, the returned iterator is iterable.
• 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.
• 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).

## Examples

```var iterator = require( '@stdlib/random-iter-bernoulli' );

var it;
var r;

// Create a seeded iterator for generating pseudorandom numbers:
it = iterator( 0.3, {
'seed': 1234,
'iter': 10
});

// Perform manual iteration...
while ( true ) {
r = it.next();
if ( r.done ) {
break;
}
console.log( r.value );
}```

## Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

## Package Sidebar

### Install

`npm i @stdlib/random-iter-bernoulli`

### Repository

github.com/stdlib-js/random-iter-bernoulli

stdlib.io

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