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 |
List | L | Any | List | The list to reduce |
Number | N | Number | Item | The number of elements to remove |
Seed | S | Number | Item | The seed for the random generator |
Outputs
Name | Abbreviation | Type | Access | Description |
Reduced | R | Any | List | The reduced list |
How to
Feed in a list
You could use the result of any node the produces or processes a list
Or, you can manually create a list using a panel
Feed in a number of items to cull from the list
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
Feed in a number for the 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
The result is the list with the number of items randomly removed
The random list item is selected by the node producing a random integer, representing the index in the list on the item.