removed some not used stuff

cdm/core/src/main/java/ucar/nc2/filter/Classifier.java

@@ -1,7 +1,6 @@
 package ucar.nc2.filter;
 
 import java.io.IOException;
-import org.apache.commons.math.stat.descriptive.SummaryStatistics;
 import ucar.ma2.Array;
 import ucar.ma2.DataType;
 import ucar.nc2.dataset.VariableDS;
@@ -27,15 +26,14 @@ public double convert(double val) {
     return classifyArray(val);
   }
 
-
-  // Custom exception for invalid values ?
+  /** Custom exception for invalid values */
   public static class InvalidValueException extends Exception {
     public InvalidValueException(String message) {
       super(message);
     }
   }
 
-  // Method to classify int array
+  /** for a single double */
   public int classifyArray(double val) {
     int classifiedVal;
     if (val >= 0) {
@@ -47,7 +45,19 @@ public int classifyArray(double val) {
     return classifiedVal;
   }
 
-  /** for a single value? */
+  /** for a single float */
+  public int classifyArray(float val) {
+    int classifiedVal;
+    if (val >= 0) {
+      classifiedVal = 1;
+    } else {
+      classifiedVal = 0;
+    }
+
+    return classifiedVal;
+  }
+
+  /** for a single int ? */
   public int classifyArray(int val) {
     int classifiedVal;
     if (val >= 0) {
@@ -59,6 +69,12 @@ public int classifyArray(int val) {
     return classifiedVal;
   }
 
+  /**
+   * Method to classify int array
+   * maybe not needed if enhancement applied only to doubles and floats?
+   */
+
+  /** Classify integer array */
   public int[] classifyArray(int[] inputArray) throws InvalidValueException {
     int[] classifiedArray = new int[inputArray.length];
 
@@ -72,7 +88,7 @@ public int[] classifyArray(int[] inputArray) throws InvalidValueException {
     return classifiedArray;
   }
 
-  // Method to classify double array
+  /** Classify double array */
   public int[] classifyArray(double[] inputArray) throws InvalidValueException {
     int[] classifiedArray = new int[inputArray.length];
 
@@ -90,7 +106,7 @@ public int[] classifyArray(double[] inputArray) throws InvalidValueException {
     return classifiedArray;
   }
 
-  // Method to classify float array
+  /** Classify float array */
   public int[] classifyArray(float[] inputArray) throws InvalidValueException {
     int[] classifiedArray = new int[inputArray.length];
 
@@ -108,43 +124,6 @@ public int[] classifyArray(float[] inputArray) throws InvalidValueException {
     return classifiedArray;
   }
 
-
-  public static void main(String[] args) {
-    try {
-      // Example usage
-      Classifier classifier = new Classifier();
-
-      int[] intArray = {10, -5, 0, 20, 5};
-      double[] doubleArray = {10.5, -5.5, 0.0, 20.1, 5.0};
-      float[] floatArray = {10.5f, -5.5f, 0.0f, 20.1f, 5.0f};
-
-      int[] intResult = classifier.classifyArray(intArray);
-      int[] doubleResult = classifier.classifyArray(doubleArray); // This will throw an exception
-      int[] floatResult = classifier.classifyArray(floatArray); // This will throw an exception
-
-      // Print the classified arrays
-      System.out.print("Classified int array: ");
-      for (int value : intResult) {
-        System.out.print(value + " ");
-      }
-      System.out.println();
-
-      System.out.print("Classified double array: ");
-      for (int value : doubleResult) {
-        System.out.print(value + " ");
-      }
-      System.out.println();
-
-      System.out.print("Classified float array: ");
-      for (int value : floatResult) {
-        System.out.print(value + " ");
-      }
-      System.out.println();
-
-    } catch (InvalidValueException e) {
-      System.err.println(e.getMessage());
-    }
-  }
 }
 
 

cdm/core/src/test/data/ncml/enhance/testClassifier.ncml

@@ -40,15 +40,6 @@
         <values>1 2 3 4 5</values>
     </variable>
 
-    <variable name="intNegatives" shape="5" type="int">
-        <attribute name="classify"/>
-        <values>-1 -2 -3 -4 -5</values>
-    </variable>
-
-    <variable name="intMix" shape="5" type="int">
-        <attribute name="classify"/>
-        <values>1 -2 0 4 -5</values>
-    </variable>
 
 
 </netcdf>