Weighted Random Range

Creates an array between LowerRange and UpperRange with the array structure of ArrayStructure, based on Distribution (Curve)

Inputs

1. LowerRange: Lower range of random number (inclusive) (float, int, Vector2, Vector2Int, Vector3, Vector3Int, Vector4)
2. UpperRange: Upper range of random number (exclusive) (float, int, Vector2, Vector2Int, Vector3, Vector3Int, Vector4)
3. ArrayStructure: Result array structure. Could be a scalar, if scalar dimensions will be based on its values. (float, int, Vector2, Vector2Int, Vector3, Vector3Int, Vector4)[]-[][]-[][][]-[][][][]
4. Distribution (optional): Distribution probabilities between ranges (Curve). If not connected uniform distribution assumed.
5. SampleCount: If ranges are float values, the distribution is sampled by SampleCount
6. Sort (optional): true -> ascending, false -> descending, empty no sorting. (bool)
7. RandomSeed (optional): Random number generator seed. If not connected, the node will use Graph’s random number generator (int)

Outputs

1. Out: Random array with the structure of ArrayStructure

Example