Random numbers generated by computers are not truly random, but rather pseudo-random. They are produced by algorithms that, while appearing random, are deterministic and predictable. This means the same algorithm will generate the same sequence of numbers if given the same starting conditions.
In random number generation, a seed is a starting number used to initialize a random number generator (RNG). It's essentially a point within a predetermined sequence of "random" numbers where the generator starts producing values.
Inputs
Name | Abbreviation | Type | Access | Description |
Min | M | Number | Item | The minimum value |
Max | M | Number | Item | The maximum value |
Seed | S | Number | Item | The seed for the random number |
Outputs
Name | Abbreviation | Type | Access | Description |
Value | V | Number | Item | The random integer |
How to
Feed in a number for the minimum, maximum, and seed
This could be the a numeric result of another node
Or, you can use a number node
Or, you can type numbers into the boxes
If you need to process multiple numbers in a list, use the map node
The result is a random integer between the min and max provided