Class SamplerUtility
A set of utility functions for defining sampler interfaces
Inherited Members
Namespace: UnityEngine.Perception.Randomization.Samplers
Assembly: solution.dll
Syntax
public static class SamplerUtilityFields
| Name | Description |
|---|---|
| largePrime | A large prime number |
| samplingBatchSize | The number of samples to generate per job batch in an IJobParallelForBatch job |
Methods
| Name | Description |
|---|---|
| AnimationCurveSample(float[], float, float, float, float) | Generate samples from probability distribution derived from a given AnimationCurve. |
| GenerateRandomSeed() | Non-deterministically generates a non-zero random seed |
| GetSamplerDisplayName(Type) | Returns the sampler's display name |
| Hash32(uint) | Hashes using constants generated from a program that maximizes the avalanche effect, independence of output bit changes, and the probability of a change in each output bit if any input bit is changed. Source: https://github.com/h2database/h2database/blob/master/h2/src/test/org/h2/test/store/CalculateHashConstant.java |
| Hash32NonZero(uint) | Generates a 32-bit non-zero hash using an unsigned integer seed |
| Hash64(ulong) | Based on splitmix64: http://xorshift.di.unimi.it/splitmix64.c |
| IntegrateCurve(float[], AnimationCurve) | Numerically integrate a given AnimationCurve using the specified number of samples. Based on https://en.wikipedia.org/wiki/Numerical_integration and http://blog.s-schoener.com/2018-05-05-animation-curves/ Using the trapezoidal rule for numerical interpolation |
| IterateSeed(uint, uint) | Generates new a new non-zero random state by deterministically hashing a base seed with an iteration index |
| TruncatedNormalSample(float, float, float, float, float) | Generates samples from a truncated normal distribution. Further reading about this distribution can be found here: https://en.wikipedia.org/wiki/Truncated_normal_distribution |