@types/p5
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TypeScript definitions for p5
85 lines (79 loc) • 3.27 kB
TypeScript
// This file was auto-generated. Please do not edit it.
import * as p5 from '../../index';
declare module '../../index' {
interface p5InstanceExtensions {
/**
* Sets the seed value for random(). By default,
* random() produces different results each time the
* program is run. Set the seed parameter to a
* constant to return the same pseudo-random numbers
* each time the software is run.
* @param seed the seed value
*/
randomSeed(seed: number): void;
/**
* Return a random floating-point number. Takes
* either 0, 1 or 2 arguments.
*
* If no argument is given, returns a random number
* from 0 up to (but not including) 1.
*
* If one argument is given and it is a number,
* returns a random number from 0 up to (but not
* including) the number.
*
* If one argument is given and it is an array,
* returns a random element from that array.
*
* If two arguments are given, returns a random
* number from the first argument up to (but not
* including) the second argument.
* @param [min] the lower bound (inclusive)
* @param [max] the upper bound (exclusive)
* @return the random number
*/
random(min?: number, max?: number): number;
/**
* Return a random floating-point number. Takes
* either 0, 1 or 2 arguments.
*
* If no argument is given, returns a random number
* from 0 up to (but not including) 1.
*
* If one argument is given and it is a number,
* returns a random number from 0 up to (but not
* including) the number.
*
* If one argument is given and it is an array,
* returns a random element from that array.
*
* If two arguments are given, returns a random
* number from the first argument up to (but not
* including) the second argument.
* @param choices the array to choose from
* @return the random element from the array
*/
random(choices: any[]): any;
/**
* Returns a random number fitting a Gaussian, or
* normal, distribution. There is theoretically no
* minimum or maximum value that randomGaussian()
* might return. Rather, there is just a very low
* probability that values far from the mean will be
* returned; and a higher probability that numbers
* near the mean will be returned. Takes either 0, 1
* or 2 arguments. If no args, the mean is 0 and the
* standard deviation is 1.
*
* If one arg, that arg is the mean and the standard
* deviation is 1.
*
* If two args, the first arg is the mean and the
* second is the standard deviation.
* @param [mean] the mean
* @param [sd] the standard deviation
* @return the random number
*/
randomGaussian(mean?: number, sd?: number): number;
}
}