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Create MarinerGuidance.java #7

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23 changes: 23 additions & 0 deletions MarinerGuidance.java
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Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
public class MarinerGuidance {
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@coderabbitai coderabbitai bot Jun 10, 2025

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🛠️ Refactor suggestion

Add comprehensive class documentation.

The class lacks documentation explaining its purpose and usage. Consider adding JavaDoc to improve maintainability and usability.

Apply this diff to add proper class documentation:

+/**
+ * MarinerGuidance provides static methods for computing navigation guidance
+ * based on radius measurements and their discrete derivatives.
+ * 
+ * The guidance system applies a linear control law that considers both
+ * the current radius and its rate of change to generate control outputs.
+ * 
+ * @author vivek-kumar-2024
+ * @version 1.0
+ */
 public class MarinerGuidance {
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
public class MarinerGuidance {
/**
* MarinerGuidance provides static methods for computing navigation guidance
* based on radius measurements and their discrete derivatives.
*
* The guidance system applies a linear control law that considers both
* the current radius and its rate of change to generate control outputs.
*
* @author vivek-kumar-2024
* @version 1.0
*/
public class MarinerGuidance {
🤖 Prompt for AI Agents 
In MarinerGuidance.java at line 1, the class declaration lacks JavaDoc
documentation. Add a comprehensive JavaDoc comment above the class definition
that explains the purpose of the MarinerGuidance class, its main
responsibilities, and any important usage notes to improve maintainability and
usability.

public static double getRawDerivative(double[] radius, int n) {
if (n == 0) return 0.0;
return radius[n] - radius[n - 1];
}
Comment on lines +2 to +5
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@coderabbitai coderabbitai bot Jun 10, 2025

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⚠️ Potential issue

Add comprehensive bounds checking and null safety.

The method lacks proper validation which could lead to runtime exceptions:

  • No null check for the radius array
  • No validation that n is within array bounds (could cause ArrayIndexOutOfBoundsException)
  • Missing validation that array has sufficient length

Apply this diff to add proper validation:

 public static double getRawDerivative(double[] radius, int n) {
+    if (radius == null) {
+        throw new IllegalArgumentException("Radius array cannot be null");
+    }
+    if (n < 0 || n >= radius.length) {
+        throw new IllegalArgumentException("Index n must be within array bounds: 0 <= n < " + radius.length);
+    }
     if (n == 0) return 0.0;
     return radius[n] - radius[n - 1];
 }
🤖 Prompt for AI Agents 
In MarinerGuidance.java around lines 2 to 5, the getRawDerivative method lacks
null checks and bounds validation for the radius array and index n. Add a null
check for the radius array and verify that n is greater than 0 and less than the
length of the array before accessing elements. If these conditions are not met,
return 0.0 or handle appropriately to prevent ArrayIndexOutOfBoundsException and
NullPointerException.


public static double computeGuidance(double[] radius, int n) {
double rawDerivative = getRawDerivative(radius, n);
return someControlLaw(radius[n], rawDerivative);
}

public static double someControlLaw(double radius, double derivative) {
return -0.5 * radius + 2.0 * derivative;
}
Comment on lines +12 to +14
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🛠️ Refactor suggestion

Improve naming and eliminate magic numbers.

The method has several maintainability issues:

  • Vague method name doesn't describe the control law being applied
  • Magic numbers (-0.5, 2.0) lack explanation of their significance
  • Missing documentation for the control algorithm

Apply this diff to improve clarity and maintainability:

+// Control gains for the linear guidance law
+private static final double RADIUS_GAIN = -0.5;
+private static final double DERIVATIVE_GAIN = 2.0;
+
-public static double someControlLaw(double radius, double derivative) {
-    return -0.5 * radius + 2.0 * derivative;
+/**
+ * Applies a linear control law for mariner guidance.
+ * @param radius current radius value
+ * @param derivative rate of change of radius
+ * @return guidance control output
+ */
+public static double applyLinearControlLaw(double radius, double derivative) {
+    return RADIUS_GAIN * radius + DERIVATIVE_GAIN * derivative;
 }

Don't forget to update the method call in computeGuidance.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
public static double someControlLaw(double radius, double derivative) {
return -0.5 * radius + 2.0 * derivative;
}
// Control gains for the linear guidance law
private static final double RADIUS_GAIN = -0.5;
private static final double DERIVATIVE_GAIN = 2.0;
/**
* Applies a linear control law for mariner guidance.
* @param radius current radius value
* @param derivative rate of change of radius
* @return guidance control output
*/
public static double applyLinearControlLaw(double radius, double derivative) {
return RADIUS_GAIN * radius + DERIVATIVE_GAIN * derivative;
}
🤖 Prompt for AI Agents 
In MarinerGuidance.java around lines 12 to 14, rename the method to clearly
reflect the specific control law it implements, replace the magic numbers -0.5
and 2.0 with named constants that explain their purpose, and add JavaDoc
comments describing the control algorithm and parameters. Also, update any calls
to this method, such as in computeGuidance, to use the new method name.


public static void main(String[] args) {
double[] radius = {100, 99.5, 99.2, 99.1, 100.5, 102.0, 98.0};
for (int n = 1; n < radius.length; n++) {
double guidance = computeGuidance(radius, n);
System.out.printf("Step %d: Guidance = %.2f%n", n, guidance);
}
}
}