RandomFactory (Graja 2.3.2-SNAPSHOT)

java.lang.Object
- de.hsh.graja.regression.noisereduction.RandomFactory

```
public class RandomFactory
extends Object
```
A random factory as described in 5.3.5 of the thesis. Allows to allocate random objects with a reproducible seed for assignments. Used by the regression testing mechanism to prevent non-deterministic behavior within assignments that depend on random objects.

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static void`	`disableMockMode()`	Disables mock mode globally Allocated factories might not reflect this behavior when using defaultRandom()
`static void`	`enableMockMode()`	Enables mock mode globally Allocated factories might not reflect this behavior when using defaultRandom()
`static Random`	`regressionTestableRandom()`	If in mock mode this will return a new random with the same initial seed and same state. Useful when multiple tests require a random and the test ordering is non-deterministic.
`static Random`	`regressionTestableRandom(long seed)`	If in mock mode this will return a new random with the same initial seed and same state. Useful when multiple tests require a random and the test ordering is non-deterministic.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - enableMockMode
```
public static void enableMockMode()
```
    Enables mock mode globally Allocated factories might not reflect this behavior when using defaultRandom()
  - disableMockMode
```
public static void disableMockMode()
```
    Disables mock mode globally Allocated factories might not reflect this behavior when using defaultRandom()
  - regressionTestableRandom
```
public static Random regressionTestableRandom()
```
    If in mock mode this will return a new random with the same initial seed and same state.
    Useful when multiple tests require a random and the test ordering is non-deterministic.
    
    Returns:
    
    in mock mode a new random with the same seed, else a randomly seeded random.
  - regressionTestableRandom
```
public static Random regressionTestableRandom(long seed)
```
    If in mock mode this will return a new random with the same initial seed and same state.
    Useful when multiple tests require a random and the test ordering is non-deterministic.
    
    Parameters:
    
    seed - seed to use in a production environment (i.e. everywhere else than in a regression test)
    
    Returns:
    
    in mock mode a new random with the same seed, else a random with the given seed.