# GPT用例: JAVA and ANYLOGIC
## How to construct a constructor with over 254 primitive parameters (the limit)？
### My Question
> [!NOTE]
> Java only allow for 256 arguments in the constructor, how to go beyond those numbers? e.g. I Have 350 parameters need to be initialized in the instructor.
> Most of those parameters are primitive types and will be involved in a lot of computation. I do have some performance concerns. Among the ones that you proposed, which one you recommend more?
### GPT Solution
Given your context—having a large number of parameters, most of which are primitive types, and a requirement for high computational performance—the best approach is to group parameters into logical objects.
#### Implementing Parameter Grouping
You should identify logical groups among your parameters. For example, if your class represents a complex simulation with various settings, you might group parameters into categories like DisplaySettings, PhysicsSettings, ControlSettings, etc.
#### Example
Suppose you have parameters related to screen resolution, physics engine precision, and user control sensitivity. You could create separate classes for each group:
```java
class DisplaySettings {
int screenWidth;
int screenHeight;
int refreshRate;
public DisplaySettings(int screenWidth, int screenHeight, int refreshRate) {
this.screenWidth = screenWidth;
this.screenHeight = screenHeight;
this.refreshRate = refreshRate;
}
}
class PhysicsSettings {
double gravity;
double friction;
// Constructor and getters
}
class ControlSettings {
double sensitivity;
// Constructor and getters
}
Then, your main class could be initialized with instances of these groups:
```java
public class Simulation {
DisplaySettings displaySettings;
PhysicsSettings physicsSettings;
ControlSettings controlSettings;
public Simulation(DisplaySettings display, PhysicsSettings physics, ControlSettings controls) {
this.displaySettings = display;
this.physicsSettings = physics;
this.controlSettings = controls;
}
}
```
## Benchmark Test on Primitive or Wrapper Class (Double vs double)
> [!TIP]
> **结论：Double平均是double的3倍左右，ArrayList是Array的3倍时间左右.**
**Double慢，大概平均是double的3倍不到。**
```
Iterations = 100000
OPERATION_COUNT = 10_000_000; // Number of arithmetic operations
Average primitive double operations time: 0.011669893 s
Average wrapper Double operations time : 0.029831292 s
```
## Benchmark Test on Array `[]` vs ArrayList
**ArrayList慢，一样平均差不多是 Array的3倍时间.**
```
Iterations = 100000
ARRAY_SIZE = 1_000_000; // Size of the array for iteration tests
Average iterating primitive array time: 0.001681544 s
Average iterating wrapper array time: 0.005892445 s
```
# Appendix
## Java Code for Benchmark Test
```java
public class BenchmarkTest {
private static final int ITERATIONS = 3000; // Number of benchmark iterations
private static final int OPERATION_COUNT = 10_000_000; // Number of arithmetic operations
private static final int ARRAY_SIZE = 1_000_000; // Size of the array for iteration tests
public static void main(String[] args) {
System.out.println("Iterations = " + ITERATIONS);
benchmarkArithmeticOperations();
benchmarkArrayIteration();
}
public static void benchmarkArithmeticOperations() {
long totalPrimitiveTime = 0;
long totalWrapperTime = 0;
for (int i = 0; i < ITERATIONS; i++) {
// Primitive double
long startTimePrimitive = System.nanoTime();
double sumPrimitive = 0.0;
for (int j = 0; j < OPERATION_COUNT; j++) {
sumPrimitive += j;
}
long endTimePrimitive = System.nanoTime();
long usedtimePrimitive = (endTimePrimitive - startTimePrimitive);
totalPrimitiveTime += usedtimePrimitive;
// Wrapper Double
long startTimeWrapper = System.nanoTime();
Double sumWrapper = 0.0;
for (int j = 0; j < OPERATION_COUNT; j++) {
sumWrapper += j; // Autoboxing here
}
long endTimeWrapper = System.nanoTime();
long usedtimeWrapper = (endTimeWrapper - startTimeWrapper);
totalWrapperTime += (endTimeWrapper - startTimeWrapper);
}
System.out.println("Average primitive double operations time: " + (totalPrimitiveTime / ITERATIONS)/ 1_000_000_000.0 + " s");
System.out.println("Average wrapper Double operations time : " + (totalWrapperTime / ITERATIONS)/ 1_000_000_000.0 + " s");
}
public static void benchmarkArrayIteration() {
long totalPrimitiveTime = 0;
long totalWrapperTime = 0;
for (int i = 0; i < ITERATIONS; i++) {
// Initialize array and ArrayList
double[] primitiveArray = new double[ARRAY_SIZE];
Double[] wrapperArray = new Double[ARRAY_SIZE];
for (int j = 0; j < ARRAY_SIZE; j++) {
primitiveArray[j] = j;
wrapperArray[j] = (double) j; // Autoboxing here
}
// Iterate over primitive array
long startTimePrimitive = System.nanoTime();
double sumPrimitive = 0.0;
for (double value : primitiveArray) {
sumPrimitive += value;
}
long endTimePrimitive = System.nanoTime();
totalPrimitiveTime += (endTimePrimitive - startTimePrimitive);
// Iterate over wrapper array
long startTimeWrapper = System.nanoTime();
Double sumWrapper = 0.0;
for (Double value : wrapperArray) {
sumWrapper += value; // Unboxing here
}
long endTimeWrapper = System.nanoTime();
totalWrapperTime += (endTimeWrapper - startTimeWrapper);
}
System.out.println("Average iterating primitive array time: " + (totalPrimitiveTime / ITERATIONS) / 1_000_000_000.0 + " s");
System.out.println("Average iterating wrapper array time: " + (totalWrapperTime / ITERATIONS) / 1_000_000_000.0 + " s");
}
}
```
> [!TIP]
> Helpful advice for doing things better or more easily.
> [!IMPORTANT]
> Key information users need to know to achieve their goal.
> [!WARNING]
> Urgent info that needs immediate user attention to avoid problems.
> [!CAUTION]
> Advises about risks or negative outcomes of certain actions.
- GPT用例: JAVA and ANYLOGIC
- How to construct a constructor with over 254 primitive parameters (the limit)？
- My Question
- GPT Solution
- Implementing Parameter Grouping
- Example
# GPT用例: JAVA and ANYLOGIC ## How to construct a constructor with over 254 primitive parameters (the limit)？ ### My Question > [!NOTE] > Java only allow for 256 arguments in the constructor, how to go beyond those numbers? e.g. I Have 350 parameters need to be initialized in the instructor. > Most of those parameters are primitive types and will be involved in a lot of computation. I do have some performance concerns. Among the ones that you proposed, which one you recommend more? ### GPT Solution Given your context—having a large number of parameters, most of which are primitive types, and a requirement for high computational performance—the best approach is to group parameters into logical objects. #### Implementing Parameter Grouping You should identify logical groups among your parameters. For example, if your class represents a complex simulation with various settings, you might group parameters into categories like DisplaySettings, PhysicsSettings, ControlSettings, etc. #### Example Suppose you have parameters related to screen resolution, physics engine precision, and user control sensitivity. You could create separate classes for each group: ```java class DisplaySettings { int screenWidth; int screenHeight; int refreshRate; public DisplaySettings(int screenWidth, int screenHeight, int refreshRate) { this.screenWidth = screenWidth; this.screenHeight = screenHeight; this.refreshRate = refreshRate; } } class PhysicsSettings { double gravity; double friction; // Constructor and getters } class ControlSettings { double sensitivity; // Constructor and getters } Then, your main class could be initialized with instances of these groups: ```java public class Simulation { DisplaySettings displaySettings; PhysicsSettings physicsSettings; ControlSettings controlSettings; public Simulation(DisplaySettings display, PhysicsSettings physics, ControlSettings controls) { this.displaySettings = display; this.physicsSettings = physics; this.controlSettings = controls; } } ``` ## Benchmark Test on Primitive or Wrapper Class (Double vs double) > [!TIP] > **结论：Double平均是double的3倍左右，ArrayList是Array的3倍时间左右.** **Double慢，大概平均是double的3倍不到。** ``` Iterations = 100000 OPERATION_COUNT = 10_000_000; // Number of arithmetic operations Average primitive double operations time: 0.011669893 s Average wrapper Double operations time : 0.029831292 s ``` ## Benchmark Test on Array `[]` vs ArrayList **ArrayList慢，一样平均差不多是 Array的3倍时间.** ``` Iterations = 100000 ARRAY_SIZE = 1_000_000; // Size of the array for iteration tests Average iterating primitive array time: 0.001681544 s Average iterating wrapper array time: 0.005892445 s ``` # Appendix ## Java Code for Benchmark Test ```java public class BenchmarkTest { private static final int ITERATIONS = 3000; // Number of benchmark iterations private static final int OPERATION_COUNT = 10_000_000; // Number of arithmetic operations private static final int ARRAY_SIZE = 1_000_000; // Size of the array for iteration tests public static void main(String[] args) { System.out.println("Iterations = " + ITERATIONS); benchmarkArithmeticOperations(); benchmarkArrayIteration(); } public static void benchmarkArithmeticOperations() { long totalPrimitiveTime = 0; long totalWrapperTime = 0; for (int i = 0; i < ITERATIONS; i++) { // Primitive double long startTimePrimitive = System.nanoTime(); double sumPrimitive = 0.0; for (int j = 0; j < OPERATION_COUNT; j++) { sumPrimitive += j; } long endTimePrimitive = System.nanoTime(); long usedtimePrimitive = (endTimePrimitive - startTimePrimitive); totalPrimitiveTime += usedtimePrimitive; // Wrapper Double long startTimeWrapper = System.nanoTime(); Double sumWrapper = 0.0; for (int j = 0; j < OPERATION_COUNT; j++) { sumWrapper += j; // Autoboxing here } long endTimeWrapper = System.nanoTime(); long usedtimeWrapper = (endTimeWrapper - startTimeWrapper); totalWrapperTime += (endTimeWrapper - startTimeWrapper); } System.out.println("Average primitive double operations time: " + (totalPrimitiveTime / ITERATIONS)/ 1_000_000_000.0 + " s"); System.out.println("Average wrapper Double operations time : " + (totalWrapperTime / ITERATIONS)/ 1_000_000_000.0 + " s"); } public static void benchmarkArrayIteration() { long totalPrimitiveTime = 0; long totalWrapperTime = 0; for (int i = 0; i < ITERATIONS; i++) { // Initialize array and ArrayList double[] primitiveArray = new double[ARRAY_SIZE]; Double[] wrapperArray = new Double[ARRAY_SIZE]; for (int j = 0; j < ARRAY_SIZE; j++) { primitiveArray[j] = j; wrapperArray[j] = (double) j; // Autoboxing here } // Iterate over primitive array long startTimePrimitive = System.nanoTime(); double sumPrimitive = 0.0; for (double value : primitiveArray) { sumPrimitive += value; } long endTimePrimitive = System.nanoTime(); totalPrimitiveTime += (endTimePrimitive - startTimePrimitive); // Iterate over wrapper array long startTimeWrapper = System.nanoTime(); Double sumWrapper = 0.0; for (Double value : wrapperArray) { sumWrapper += value; // Unboxing here } long endTimeWrapper = System.nanoTime(); totalWrapperTime += (endTimeWrapper - startTimeWrapper); } System.out.println("Average iterating primitive array time: " + (totalPrimitiveTime / ITERATIONS) / 1_000_000_000.0 + " s"); System.out.println("Average iterating wrapper array time: " + (totalWrapperTime / ITERATIONS) / 1_000_000_000.0 + " s"); } } ``` > [!TIP] > Helpful advice for doing things better or more easily. > [!IMPORTANT] > Key information users need to know to achieve their goal. > [!WARNING] > Urgent info that needs immediate user attention to avoid problems. > [!CAUTION] > Advises about risks or negative outcomes of certain actions.