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Subject: svn commit: r1060124 -
 /commons/proper/math/branches/MATH_2_X/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java
Date: Mon, 17 Jan 2011 23:00:52 -0000
To: commits@commons.apache.org
From: sebb@apache.org
Message-Id: <20110117230052.DBA1F2388A77@eris.apache.org>

Author: sebb
Date: Mon Jan 17 23:00:52 2011
New Revision: 1060124

URL: http://svn.apache.org/viewvc?rev=1060124&view=rev
Log:
Tab and trailing space removal

Modified:
    commons/proper/math/branches/MATH_2_X/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java

Modified: commons/proper/math/branches/MATH_2_X/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java
URL: http://svn.apache.org/viewvc/commons/proper/math/branches/MATH_2_X/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java?rev=1060124&r1=1060123&r2=1060124&view=diff
==============================================================================
--- commons/proper/math/branches/MATH_2_X/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java (original)
+++ commons/proper/math/branches/MATH_2_X/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java Mon Jan 17 23:00:52 2011
@@ -423,46 +423,46 @@ public final class StatUtilsTest extends
     }
     
     
-	/**
-	 * Run the test with the values 50 and 100 and assume standardized values 
-	 */
-
-	public void testNormalize1() {
-		double sample[] = { 50, 100 };
-		double expectedSample[] = { -25 / Math.sqrt(1250), 25 / Math.sqrt(1250) };
-		double[] out = StatUtils.normalize(sample);
-		for (int i = 0; i < out.length; i++) {
-			assertEquals(out[i], expectedSample[i]);
-		}
-
-	}
-
-	/**
-	 * Run with 77 random values, assuming that the outcome has a mean of 0 and a standard deviation of 1 with a
-	 * precision of 1E-10.
-	 */
-
-	public void testNormalize2() {
-		// create an sample with 77 values 
-		int length = 77;
-		double sample[] = new double[length];
-		for (int i = 0; i < length; i++) {
-			sample[i] = Math.random();
-		}
-		// normalize this sample
-		double standardizedSample[] = StatUtils.normalize(sample);
-
-		DescriptiveStatistics stats = new DescriptiveStatistics();
-		// Add the data from the array
-		for (int i = 0; i < length; i++) {
-			stats.addValue(standardizedSample[i]);
-		}
-		// the calculations do have a limited precision  
-		double distance = 1E-10;
-		// check the mean an standard deviation
-		assertEquals(0.0, stats.getMean(), distance);
-		assertEquals(1.0, stats.getStandardDeviation(), distance);
+    /**
+     * Run the test with the values 50 and 100 and assume standardized values    
+     */
+
+    public void testNormalize1() {
+        double sample[] = { 50, 100 };
+        double expectedSample[] = { -25 / Math.sqrt(1250), 25 / Math.sqrt(1250) };
+        double[] out = StatUtils.normalize(sample);
+        for (int i = 0; i < out.length; i++) {
+            assertEquals(out[i], expectedSample[i]);
+        }
 
-	}
+    }
+
+    /**
+     * Run with 77 random values, assuming that the outcome has a mean of 0 and a standard deviation of 1 with a
+     * precision of 1E-10.
+     */
+
+    public void testNormalize2() {
+        // create an sample with 77 values    
+        int length = 77;
+        double sample[] = new double[length];
+        for (int i = 0; i < length; i++) {
+            sample[i] = Math.random();
+        }
+        // normalize this sample
+        double standardizedSample[] = StatUtils.normalize(sample);
+
+        DescriptiveStatistics stats = new DescriptiveStatistics();
+        // Add the data from the array
+        for (int i = 0; i < length; i++) {
+            stats.addValue(standardizedSample[i]);
+        }
+        // the calculations do have a limited precision    
+        double distance = 1E-10;
+        // check the mean an standard deviation
+        assertEquals(0.0, stats.getMean(), distance);
+        assertEquals(1.0, stats.getStandardDeviation(), distance);
+
+    }
     
 }