Dive into this guide to discover the tools and techniques RNGNeeds offers for testing. By simulating various scenarios, you can gain a deeper understanding of the outcomes shaped by your crafted probabilities and configurations.
When designing probability distributions, it's often essential to visualize outcomes without constantly entering play mode. The testing feature in RNGNeeds allows you to simulate selections, turning abstract percentages into tangible statistics, aiding in understanding and refining your setups.
Consider this scenario: You're developing an endless runner game where random obstacles appear. The code attempts to select an obstacle from a list of six, with varying probabilities, and one of them is disabled.
Obstacle Spawner Code
public class ObstacleSpawner : MonoBehaviour
public ProbabilityList<GameObject> obstacles;
public void SpawnObstacle()
if (obstacles.TryPickValue(out var obstacle))
// Spawn Obstacle
Imagine you anticipate around 180 obstacles to spawn in a minute of gameplay. To visualize the distribution of these spawns, open the PICK section of the drawer, set the pick count to 180, and hit the TEST button.
The inspector will then display the results for each item: the number of times it was picked and its resulting probability. The percentage is color-coded to highlight deviations between the designed and actual outcomes. By default, underrepresented items are tinted orange, while overrepresented ones are green.
For a comprehensive breakdown, results are also logged in the console, detailing the selection method, seed, pick counts, repeat percentages, and more.
When analyzing the results, a designer might interpret them as, "In one minute of gameplay, approximately 34 exploding barrels will spawn as obstacles." From the console data, it's evident that "around 158 obstacles will spawn, with 32 being repeats." The discrepancy between the expected 180 picks and the actual number is due to the disabled item in the list.
However, it's essential to note that 180 picks might not provide a comprehensive statistical representation. Repeated tests could show slight variations in outcomes. To gain more accurate insights, consider increasing the pick count. For instance, testing with 1,800 picks might yield results that align more closely with the intended probabilities.
Once you've finished testing, you can reset the results by clicking the X button adjacent to the TEST button. This step isn't obligatory, as test results aren't stored with the list. They're part of the drawer data, which resets when switching inspectors.
For scenarios where you need to evaluate your configurations during runtime or if you're keen on analyzing test statistics directly from your code, RNGNeeds provides a way to execute tests and retrieve the
Testing in Code
var testResults = myProbabilityList.RunTest();
TestResults class encapsulates the outcomes in a
Dictionary<int, int> indexPicks, where the key represents the item's index in the list, and the value indicates its pick frequency. This class also offers additional insights:
string selectionMethodName- Name of the applied selection method.
PreventRepeatMethod preventRepeat- Method used for repeat prevention.
uint seed- Seed generated prior to selection.
int pickCountMin- Specified minimum pick count.
int pickCountMax- Specified maximum pick count.
int pickCount- Randomly chosen pick count within the min-max range.
int actualPickCount- Total items picked.
int repeatCount- Count of consecutive identical picks.
double testDuration- Test's duration.
float RepeatsPercentage- Calculated as
repeatCount / actualPickCount.
TestResults furnishes several utility properties and methods to format and present the outcomes:
void Print()- Displays results akin to inspector-based testing.
string SelectionMethodInfo- Information on selection method, repeat prevention, and seed.
string PickCountInfo- Details on the min, max, and randomly chosen pick count.
string ActualPickCountInfo- Data on picked items, repeat percentage, and total count.
string TestDurationInfo- Presents test duration in a user-friendly format.
string GetFormattedResults()- Offers a concise view of the results.
string GetFormattedPickDetails()- Provides a detailed breakdown for each index.
string GetFormattedResultsWithDetails()- Merges the above two outputs.
To reset the test results, simply invoke