// This file is auto-generated from JSDoc documentation

import p5 from 'p5';

declare module 'p5' {
/**
 * Sets the seed value for the random() and
 * randomGaussian() functions.By default, random() and
 * randomGaussian() produce different
 * results each time a sketch is run. Calling `randomSeed()` with a constant
 * argument, such as `randomSeed(99)`, makes these functions produce the same
 * results each time a sketch is run.
 *
 * @param seed value.
 * @example <div>
 * <code>
 * function setup() {
 * createCanvas(100, 100);
 * 
 * background(200);
 * 
 * // Get random coordinates.
 * let x = random(0, 100);
 * let y = random(0, 100);
 * 
 * // Draw the white circle.
 * circle(x, y, 10);
 * 
 * // Set a random seed for consistency.
 * randomSeed(99);
 * 
 * // Get random coordinates.
 * x = random(0, 100);
 * y = random(0, 100);
 * 
 * // Draw the black circle.
 * fill(0);
 * circle(x, y, 10);
 * 
 * describe('A white circle appears at a random position. A black circle appears at (27.4, 25.8).');
 * }
 * </code>
 * </div>
 */
function randomSeed(seed: number): void;

/**
 * Returns a random number or a random element from an array.`random()` follows uniform distribution, which means that all outcomes are
 * equally likely. When `random()` is used to generate numbers, all
 * numbers in the output range are equally likely to be returned. When
 * `random()` is used to select elements from an array, all elements are
 * equally likely to be chosen.By default, `random()` produces different results each time a sketch runs.
 * The randomSeed() function can be used to
 * generate the same sequence of numbers or choices each time a sketch runs.The version of `random()` with no parameters returns a random number from 0
 * up to but not including 1.The version of `random()` with one parameter works one of two ways. If the
 * argument passed is a number, `random()` returns a random number from 0 up
 * to but not including the number. For example, calling `random(5)` returns
 * values between 0 and 5. If the argument passed is an array, `random()`
 * returns a random element from that array. For example, calling
 * `random(['🦁', '🐯', '🐻'])` returns either a lion, tiger, or bear emoji.The version of `random()` with two parameters returns a random number from
 * a given range. The arguments passed set the range's lower and upper bounds.
 * For example, calling `random(-5, 10.2)` returns values from -5 up to but
 * not including 10.2.
 *
 * @param lower bound (inclusive).
 * @param upper bound (exclusive).
 * @return random number.
 * @example <div>
 * <code>
 * function setup() {
 * createCanvas(100, 100);
 * 
 * background(200);
 * 
 * // Get random coordinates between 0 and 100.
 * let x = random(0, 100);
 * let y = random(0, 100);
 * 
 * // Draw a point.
 * strokeWeight(5);
 * point(x, y);
 * 
 * describe('A black dot appears in a random position on a gray square.');
 * }
 * </code>
 * </div>
 * 
 * <div>
 * <code>
 * function setup() {
 * createCanvas(100, 100);
 * 
 * background(200);
 * 
 * // Get random coordinates between 0 and 100.
 * let x = random(100);
 * let y = random(100);
 * 
 * // Draw the point.
 * strokeWeight(5);
 * point(x, y);
 * 
 * describe('A black dot appears in a random position on a gray square.');
 * }
 * </code>
 * </div>
 * 
 * <div>
 * <code>
 * function setup() {
 * createCanvas(100, 100);
 * 
 * background(200);
 * 
 * // Create an array of emoji strings.
 * let animals = ['🦁', '🐯', '🐻'];
 * 
 * // Choose a random element from the array.
 * let choice = random(animals);
 * 
 * // Style the text.
 * textAlign(CENTER);
 * textSize(20);
 * 
 * // Display the emoji.
 * text(choice, 50, 50);
 * 
 * describe('An animal face is displayed at random. Either a lion, tiger, or bear.');
 * }
 * </code>
 * </div>
 * 
 * <div>
 * <code>
 * function setup() {
 * createCanvas(100, 100);
 * 
 * // Slow the frame rate.
 * frameRate(5);
 * 
 * describe('A black dot moves around randomly on a gray square.');
 * }
 * 
 * function draw() {
 * background(200);
 * 
 * // Get random coordinates between 0 and 100.
 * let x = random(100);
 * let y = random(100);
 * 
 * // Draw the point.
 * strokeWeight(5);
 * point(x, y);
 * }
 * </code>
 * </div>
 * 
 * <div>
 * <code>
 * function setup() {
 * createCanvas(100, 100);
 * 
 * // Slow the frame rate.
 * frameRate(5);
 * 
 * describe('A black dot moves around randomly in the middle of a gray square.');
 * }
 * 
 * function draw() {
 * background(200);
 * 
 * // Get random coordinates between 45 and 55.
 * let x = random(45, 55);
 * let y = random(45, 55);
 * 
 * // Draw the point.
 * strokeWeight(5);
 * point(x, y);
 * }
 * </code>
 * </div>
 * 
 * <div>
 * <code>
 * let x = 50;
 * let y = 50;
 * 
 * function setup() {
 * createCanvas(100, 100);
 * 
 * background(200);
 * 
 * describe('A black dot moves around randomly leaving a trail.');
 * }
 * 
 * function draw() {
 * // Update x and y randomly.
 * x += random(-1, 1);
 * y += random(-1, 1);
 * 
 * // Draw the point.
 * point(x, y);
 * }
 * </code>
 * </div>
 */
function random(min?: number, max?: number): number;

/**
 * @param array to choose from.
 * @return random element from the array.
 */
function random<T>(choices: T[]): T;

/**
 * Returns a random number fitting a Gaussian, or normal, distribution.Normal distributions look like bell curves when plotted. Values from a
 * normal distribution cluster around a central value called the mean. The
 * cluster's standard deviation describes its spread.By default, `randomGaussian()` produces different results each time a
 * sketch runs. The randomSeed() function can be
 * used to generate the same sequence of numbers each time a sketch runs.There's no minimum or maximum value that `randomGaussian()` might return.
 * Values far from the mean are very unlikely and values near the mean are
 * very likely.The version of `randomGaussian()` with no parameters returns values with a
 * mean of 0 and standard deviation of 1.The version of `randomGaussian()` with one parameter interprets the
 * argument passed as the mean. The standard deviation is 1.The version of `randomGaussian()` with two parameters interprets the first
 * argument passed as the mean and the second as the standard deviation.
 *
 * @param mean.
 * @param standard deviation.
 * @return random number.
 * @example <div>
 * <code>
 * function setup() {
 * createCanvas(100, 100);
 * 
 * background(200);
 * 
 * describe('Three horizontal black lines are filled in randomly. The top line spans entire canvas. The middle line is very short. The bottom line spans two-thirds of the canvas.');
 * }
 * 
 * function draw() {
 * // Style the circles.
 * noStroke();
 * fill(0, 10);
 * 
 * // Uniform distribution between 0 and 100.
 * let x = random(100);
 * let y = 25;
 * circle(x, y, 5);
 * 
 * // Gaussian distribution with a mean of 50 and sd of 1.
 * x = randomGaussian(50);
 * y = 50;
 * circle(x, y, 5);
 * 
 * // Gaussian distribution with a mean of 50 and sd of 10.
 * x = randomGaussian(50, 10);
 * y = 75;
 * circle(x, y, 5);
 * }
 * </code>
 * </div>
 */
function randomGaussian(mean?: number, sd?: number): number;

}

export default function random(p5: any, fn: any): void;