JAL-2668 add tests for HMMER commands, annotation and io

diff --git a/src/jalview/analysis/AAFrequency.java b/src/jalview/analysis/AAFrequency.java
index 9f905f6..6a69c73 100755 (executable)
--- a/src/jalview/analysis/AAFrequency.java
+++ b/src/jalview/analysis/AAFrequency.java
@@ -228,14 +228,13 @@ public class AAFrequency
   {
     ProfileI[] result = new ProfileI[width];
     int symbolCount = hmm.getNumberOfSymbols();
-    String alph = hmm.getAlphabetType();
     for (int column = start; column < end; column++)
     {
       ResidueCount counts = new ResidueCount();
       for (char symbol : hmm.getSymbols())
       {
-        int value = getAnalogueCount(hmm, column, removeBelowBackground,
-                alph, symbol);
+        int value = getAnalogueCount(hmm, column, symbol,
+                removeBelowBackground);
         counts.put(symbol, value);
       }
       int maxCount = counts.getModalCount();
@@ -902,7 +901,6 @@ public class AAFrequency
 
     if (hmm != null)
     {
-      String alph = hmm.getAlphabetType();
       int size = hmm.getNumberOfSymbols();
       char symbols[] = new char[size];
       int values[] = new int[size];
@@ -913,8 +911,8 @@ public class AAFrequency
       {
         char symbol = charList.get(i);
         symbols[i] = symbol;
-        int value = getAnalogueCount(hmm, column, removeBelowBackground,
-                alph, symbol);
+        int value = getAnalogueCount(hmm, column, symbol,
+                removeBelowBackground);
         values[i] = value;
         totalCount += value;
       }
@@ -961,20 +959,21 @@ public class AAFrequency
    * @param hmm
    * @param column
    * @param removeBelowBackground
-   * @param alph
-   *          The alphabet the HMM is based on
+   *          When true, this method returns 0 for any symbols with a match
+   *          emission probability less than the background frequency.
    * @param symbol
    * @return
    */
-  private static int getAnalogueCount(HiddenMarkovModel hmm, int column,
-          boolean removeBelowBackground, String alph, char symbol)
+  static int getAnalogueCount(HiddenMarkovModel hmm, int column,
+          char symbol, boolean removeBelowBackground)
   {
     Double value;
 
     value = hmm.getMatchEmissionProbability(column, symbol);
     double freq;
 
-    freq = ResidueProperties.backgroundFrequencies.get(alph).get(symbol);
+    freq = ResidueProperties.backgroundFrequencies
+            .get(hmm.getAlphabetType()).get(symbol);
     if (value < freq && removeBelowBackground)
     {
       return 0;

diff --git a/src/jalview/datamodel/HiddenMarkovModel.java b/src/jalview/datamodel/HiddenMarkovModel.java
index 2b9bd3b..086f5cd 100644 (file)
--- a/src/jalview/datamodel/HiddenMarkovModel.java
+++ b/src/jalview/datamodel/HiddenMarkovModel.java
@@ -4,7 +4,6 @@ import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
-import java.util.Scanner;
 
 /**
  * Data structure which stores a hidden Markov model. Currently contains file
@@ -41,8 +40,6 @@ public class HiddenMarkovModel
   final static String YES = "yes";
 
   final static String NO = "no";
-
-  int numberOfSymbols;
   
   // keys for file properties hashmap
   private final String NAME = "NAME";
@@ -129,7 +126,6 @@ public class HiddenMarkovModel
     this.nodeLookup = new HashMap<>(hmm.nodeLookup);
     this.symbolIndexLookup = new HashMap<>(
             hmm.symbolIndexLookup);
-    this.numberOfSymbols = hmm.numberOfSymbols;
     this.fileHeader = new String(hmm.fileHeader);
   }
 
@@ -454,7 +450,6 @@ public class HiddenMarkovModel
   public Double getStateTransitionProbability(int alignColumn,
           int transition)
   {
-    int transitionIndex;
     int nodeIndex;
     Double probability;
     if (nodeLookup.containsKey(alignColumn))
@@ -499,7 +494,8 @@ public class HiddenMarkovModel
   }
   
   /**
-   * Returns the consensus at a given alignment column.
+   * Returns the consensus at a given alignment column. If the character is
+   * lower case, its emission probability is less than 0.5.
    * 
    * @param columnIndex
    *          The index of the column in the alignment for which the consensus
@@ -532,6 +528,10 @@ public class HiddenMarkovModel
           mostLikely = character;
         }
       }
+      if (highestProb < 0.5)
+      {
+        mostLikely = Character.toLowerCase(mostLikely);
+      }
       return mostLikely;
     }
 
@@ -597,28 +597,7 @@ public class HiddenMarkovModel
    */
   public int getNumberOfSymbols()
   {
-    return numberOfSymbols;
-  }
-
-  /**
-   * Fills symbol array and whilst doing so, updates the value of the number of
-   * symbols.
-   * 
-   * @param parser
-   *          The scanner scanning the symbol line in the file.
-   */
-  public void fillSymbols(Scanner parser)
-  {
-    int i = 0;
-    while (parser.hasNext())
-    {
-      String strSymbol = parser.next();
-      char[] symbol = strSymbol.toCharArray();
-      symbols.add(symbol[0]);
-      symbolIndexLookup.put(symbol[0], i);
-      i++;
-    }
-    numberOfSymbols = symbols.size();
+    return symbols.size();
   }
 
   /**
@@ -1028,6 +1007,15 @@ public class HiddenMarkovModel
     return consensus;
   }
 
+  public int getSymbolIndex(char c)
+  {
+    return symbolIndexLookup.get(c);
+  }
+
+  public void setSymbolIndex(Character c, Integer i)
+  {
+    symbolIndexLookup.put(c, i);
+  }
 
 }
 

diff --git a/src/jalview/hmmer/HMMERCommands.java b/src/jalview/hmmer/HMMERCommands.java
index a5a4d7d..6a538fc 100644 (file)
--- a/src/jalview/hmmer/HMMERCommands.java
+++ b/src/jalview/hmmer/HMMERCommands.java
@@ -136,11 +136,6 @@ public class HMMERCommands
     if (seqs != null)
     {
       StockholmFile file = new StockholmFile(new Alignment(seqs));
-      boolean removeAnnots = false;
-      if (hmm == null)
-      {
-        removeAnnots = true;
-      }
       String output = file.print(seqs, false);
       PrintWriter writer = new PrintWriter(stoLocation);
       writer.println(output);
@@ -150,7 +145,9 @@ public class HMMERCommands
     if (hmm != null)
     {
       HMMFile file = new HMMFile(hmm);
-      file.exportFile(hmmLocation);
+      PrintWriter writer = new PrintWriter(hmmLocation);
+      writer.print(file.print());
+      writer.close();
     }
   }
 

diff --git a/src/jalview/schemes/HMMERColourScheme.java b/src/jalview/schemes/HMMERColourScheme.java
index 7a8ef94..f3691f0 100644 (file)
--- a/src/jalview/schemes/HMMERColourScheme.java
+++ b/src/jalview/schemes/HMMERColourScheme.java
@@ -79,13 +79,13 @@ public class HMMERColourScheme extends ResidueColourScheme
     {
       return new Color(230, 0, 0);
     }
-    Double value = Math.log(prob / freq) / Math.log(2);
+    Double value = Math.log(prob / freq);
     Color colour = null;
     if (value > 0)
     {
 
       colour = ColorUtils.getGraduatedColour(value.floatValue(), 0,
-              Color.WHITE, 6.52f, Color.blue);
+              Color.WHITE, 4.52f, Color.blue);
     }
     else if (value < 0)
     {

diff --git a/test/jalview/analysis/AAFrequencyTest.java b/test/jalview/analysis/AAFrequencyTest.java
index 86a2a0c..9a0b33f 100644 (file)
--- a/test/jalview/analysis/AAFrequencyTest.java
+++ b/test/jalview/analysis/AAFrequencyTest.java
@@ -25,11 +25,20 @@ import static org.testng.AssertJUnit.assertNull;
 
 import jalview.datamodel.AlignmentAnnotation;
 import jalview.datamodel.Annotation;
+import jalview.datamodel.HiddenMarkovModel;
+import jalview.datamodel.Profile;
 import jalview.datamodel.ProfileI;
+import jalview.datamodel.Profiles;
 import jalview.datamodel.ProfilesI;
 import jalview.datamodel.Sequence;
 import jalview.datamodel.SequenceI;
 import jalview.gui.JvOptionPane;
+import jalview.io.DataSourceType;
+import jalview.io.FileParse;
+import jalview.io.HMMFile;
+
+import java.io.IOException;
+import java.net.MalformedURLException;
 
 import org.testng.annotations.BeforeClass;
 import org.testng.annotations.Test;
@@ -37,6 +46,8 @@ import org.testng.annotations.Test;
 public class AAFrequencyTest
 {
 
+  HiddenMarkovModel hmm;
+
   @BeforeClass(alwaysRun = true)
   public void setUpJvOptionPane()
   {
@@ -233,43 +244,78 @@ public class AAFrequencyTest
     assertEquals("T", ann.displayCharacter);
   }
 
-  /*
-  @Test(groups = { "Functional" })
-  public void testGetHMMProfileFor()
+
+  @Test(groups = { "Functional" }, priority = 1)
+  public void testExtractHMMProfile()
           throws MalformedURLException, IOException
   {
   
     HMMFile hmmFile = new HMMFile(new FileParse(
             "test/jalview/io/test_MADE1_hmm.txt", DataSourceType.FILE));
-    hmmFile.parse();
-    HiddenMarkovModel hmm = hmmFile.getHMM();
+    hmm = hmmFile.getHMM();
     int[] expected = { 0, 4, 100, 'T', 71, 'C', 12, 'G', 9, 'A', 9 };
-    int[] actual = AAFrequency.getHMMProfileFor(hmm, 17, false);
+    int[] actual = AAFrequency.extractHMMProfile(hmm, 17, false);
     for (int i = 0; i < actual.length; i++)
     {
       if (i == 2)
       {
-        assertEquals(actual[i], expected[i], 5);
+        assertEquals(actual[i], expected[i]);
       }
       else
       {
-        assertEquals(actual[i], expected[i], 1);
+        assertEquals(actual[i], expected[i]);
       }
     }
   
-    int[] expected2 = { 0, 4, 85, 'A', 85, 'C', 0, 'G', 0, 'T', 0 };
-    int[] actual2 = AAFrequency.getHMMProfileFor(hmm, 2, true);
-    for (int i = 0; i < actual.length; i++)
+    int[] expected2 = { 0, 4, 100, 'A', 85, 'C', 0, 'G', 0, 'T', 0 };
+    int[] actual2 = AAFrequency.extractHMMProfile(hmm, 2, true);
+    for (int i = 0; i < actual2.length; i++)
     {
       if (i == 2)
       {
-        assertEquals(actual[i], expected[i], 5);
+        assertEquals(actual[i], expected[i]);
       }
       else
       {
-        assertEquals(actual[i], expected[i], 1);
+        assertEquals(actual[i], expected[i]);
       }
     }
+
+    assertNull(AAFrequency.extractHMMProfile(null, 98978867, true));
+  }
+
+  @Test(groups = { "Functional" }, priority = 2)
+  public void testGetAnalogueCount()
+  {
+    int count;
+    count = AAFrequency.getAnalogueCount(hmm, 0, 'T', false);
+    assertEquals(7859, count);
+    count = AAFrequency.getAnalogueCount(hmm, 20, 'G', false);
+    assertEquals(7546, count);
+    count = AAFrequency.getAnalogueCount(hmm, 1077, 'G', true);
+    assertEquals(0, count);
   }
-  */
+
+  @Test(groups = { "Functional" }, priority = 3)
+  public void testCompleteInformation()
+  {
+    ProfileI prof1 = new Profile(1, 0, 100, "A");
+    ProfileI prof2 = new Profile(1, 0, 100, "-");
+
+    ProfilesI profs = new Profiles(new ProfileI[] { prof1, prof2 });
+    Annotation ann1 = new Annotation(6.5f);
+    Annotation ann2 = new Annotation(0f);
+    Annotation[] annots = new Annotation[] { ann1, ann2 };
+    SequenceI seq = new Sequence("", "AA", 0, 0);
+    seq.setHMM(hmm);
+    AlignmentAnnotation annot = new AlignmentAnnotation("", "", annots);
+    annot.setSequenceRef(seq);
+    AAFrequency.completeInformation(annot, profs, 0, 1, false, true, 1);
+    float ic = annot.annotations[0].value;
+    assertEquals(0.91532f, ic, 0.0001f);
+    ic = annot.annotations[1].value;
+    assertEquals(0f, ic, 0.0001f);
+    int i = 0;
+  }
+
 }

diff --git a/test/jalview/datamodel/HiddenMarkovModelTest.java b/test/jalview/datamodel/HiddenMarkovModelTest.java
new file mode 100644 (file)
index 0000000..069978d
--- /dev/null
+++ b/test/jalview/datamodel/HiddenMarkovModelTest.java
@@ -0,0 +1,118 @@
+package jalview.datamodel;
+
+import static org.testng.Assert.assertEquals;
+
+import jalview.io.DataSourceType;
+import jalview.io.FileParse;
+import jalview.io.HMMFile;
+
+import java.io.IOException;
+import java.net.MalformedURLException;
+
+import org.testng.annotations.Test;
+
+public class HiddenMarkovModelTest {
+
+  HiddenMarkovModel hmm;
+
+  @Test(priority = 0)
+  public void testGetMatchEmissionProbabilities()
+          throws MalformedURLException, IOException
+  {
+    HMMFile file = new HMMFile(new FileParse(
+            "test/jalview/io/test_PKinase_hmm.txt", DataSourceType.FILE));
+    hmm = file.getHMM();
+
+    double[] actual = new double[4];
+    actual[0] = hmm.getMatchEmissionProbability(0, 'R');
+    actual[1] = hmm.getMatchEmissionProbability(19, 'W');
+    actual[2] = hmm.getMatchEmissionProbability(160, 'G');
+    actual[3] = hmm.getMatchEmissionProbability(475, 'A');
+
+    double[] expected = new double[4];
+    expected[0] = 0.02537400637;
+    expected[1] = 0.00588228492;
+    expected[2] = 0;
+    expected[3] = 0.04995163708;
+
+    for (int i = 0; i < 4; i++)
+    {
+      assertEquals(actual[i], expected[i], 0.001d);
+    }
+  }
+  
+  @Test(priority = 1)
+  public void testGetInsertEmissionProbabilities()
+  {
+    double[] actual = new double[4];
+    actual[0] = hmm.getInsertEmissionProbability(2, 'A');
+    actual[1] = hmm.getInsertEmissionProbability(5, 'T');
+    actual[2] = hmm.getInsertEmissionProbability(161, 'K');
+    actual[3] = hmm.getInsertEmissionProbability(472, 'L');
+
+    double[] expected = new double[4];
+    expected[0] = 0.06841384927;
+    expected[1] = 0.06233763141;
+    expected[2] = 0;
+    expected[3] = 0.06764038926;
+
+    for (int i = 0; i < 4; i++)
+    {
+      assertEquals(actual[i], expected[i], 0.001d);
+    }
+  }
+
+  @Test(priority = 1)
+  public void testGetStateTransitionProbabilities()
+  {
+    double[] actual = new double[4];
+    actual[0] = hmm.getStateTransitionProbability(475, hmm.MATCHTODELETE);
+    actual[1] = hmm.getStateTransitionProbability(8, hmm.MATCHTOINSERT);
+    actual[2] = hmm.getStateTransitionProbability(80, hmm.INSERTTOINSERT);
+    actual[3] = hmm.getStateTransitionProbability(475, hmm.DELETETOMATCH);
+
+    double[] expected = new double[4];
+    expected[0] = Double.NEGATIVE_INFINITY;
+    expected[1] = 0.00662894243;
+    expected[2] = 0.46183388908;
+    expected[3] = 1;
+
+    for (int i = 0; i < 4; i++)
+    {
+      assertEquals(actual[i], expected[i], 0.001d);
+    }
+  }
+  
+  @Test(priority = 1)
+  public void testGetConsensusAtAlignColumn()
+  {
+    char[] cons = new char[4];
+    cons[0] = hmm.getConsensusAtAlignColumn(10);
+    cons[1] = hmm.getConsensusAtAlignColumn(50);
+    hmm.setConsensusResidueStatus(false);
+    cons[2] = hmm.getConsensusAtAlignColumn(100);
+    cons[3] = hmm.getConsensusAtAlignColumn(400);
+    
+    char[] expected = new char[4];
+    expected[0] = 's';
+    expected[1] = 'k';
+    expected[2] = 'l';
+    expected[3] = 'k';
+    
+    for (int i = 0; i < 4; i++)
+    {
+      assertEquals(cons[i], expected[i]);
+    }
+    
+  }
+
+  @Test(priority = 1)
+  public void testGetConsensusSequence()
+  {
+    SequenceI seq = hmm.getConsensusSequence();
+    String subStr = seq.getSequenceAsString().substring(0, 10);
+    assertEquals(subStr, "YELLEKLGSG");
+    subStr = seq.getSequenceAsString().substring(150, 161);
+    assertEquals(subStr, "-DLLK------");
+  }
+}

diff --git a/test/jalview/hmmer/HMMERTest.java b/test/jalview/hmmer/HMMERTest.java
new file mode 100644 (file)
index 0000000..17ce2cf
--- /dev/null
+++ b/test/jalview/hmmer/HMMERTest.java
@@ -0,0 +1,106 @@
+package jalview.hmmer;
+
+import static org.testng.Assert.assertEquals;
+import static org.testng.Assert.assertNotEquals;
+import static org.testng.Assert.fail;
+
+import jalview.bin.Jalview;
+import jalview.datamodel.Alignment;
+import jalview.datamodel.AlignmentI;
+import jalview.datamodel.HiddenMarkovModel;
+import jalview.datamodel.SequenceI;
+import jalview.gui.AlignFrame;
+import jalview.gui.Desktop;
+import jalview.io.DataSourceType;
+import jalview.io.FastaFile;
+import jalview.io.FileParse;
+
+import java.io.IOException;
+import java.net.MalformedURLException;
+import java.util.List;
+
+import org.testng.annotations.AfterClass;
+import org.testng.annotations.BeforeClass;
+import org.testng.annotations.Test;
+
+
+public class HMMERTest {
+
+  AlignFrame frame;
+
+  @BeforeClass(alwaysRun = true)
+  public static void setUpBeforeClass() throws Exception
+  {
+    Jalview.main(
+            new String[]
+    { "-noquestionnaire", "-nonews", "-props",
+        "test/jalview/hmmer/testProps.jvprops" });
+  }
+
+  @AfterClass(alwaysRun = true)
+  public static void tearDownAfterClass() throws Exception
+  {
+    Desktop.instance.closeAll_actionPerformed(null);
+  }
+
+  @Test(priority = 0)
+  public void testHMMBuild() throws MalformedURLException, IOException
+  {
+    FastaFile file = null;
+    try
+    {
+      file = new FastaFile(
+              new FileParse("examples/uniref50.fa", DataSourceType.FILE));
+    } catch (IOException e)
+    {
+      e.printStackTrace();
+      fail();
+    }
+    SequenceI[] seqs = file.getSeqsAsArray();
+    AlignmentI al = new Alignment(seqs);
+    frame = new AlignFrame(al, 150, 20);
+
+    HMMBuildThread thread = new HMMBuildThread(frame);
+    thread.hmmbuildWaitTillComplete();
+
+    SequenceI seq = frame.getViewport().getAlignment().getSequenceAt(0);
+    HiddenMarkovModel hmm = seq.getHMM();
+    if (hmm == null)
+    {
+      fail();
+    }
+
+    assertEquals(hmm.getLength().intValue(), 148);
+    assertEquals(hmm.getAlphabetType(), "amino");
+    assertEquals(hmm.getName(), "Alignment");
+    assertEquals(hmm.getEffectiveNumberOfSequences(), 0.648193, 0.0001);
+    assertEquals(hmm.getConsensusAtAlignColumn(15), 's');
+  }
+
+  @Test(priority = 1)
+  public void testHMMAlign() throws MalformedURLException, IOException
+  {
+    HMMAlignThread thread = new HMMAlignThread(frame, true);
+    try
+    {
+      thread.hmmalignWaitTillComplete();
+    } catch (Exception e)
+    {
+      e.printStackTrace();
+      fail();
+    }
+
+    if (Desktop.getAlignFrames() == null)
+    {
+      fail();
+    }
+
+    AlignFrame frame = Desktop.getAlignFrames()[0];
+    AlignmentI al = frame.getViewport().getAlignment();
+    assertNotEquals(al, null);
+    List<SequenceI> hmmSeqs = al.getHMMConsensusSequences(false);
+    assertNotEquals(hmmSeqs, null);
+
+  }
+}
+

diff --git a/test/jalview/io/HMMFileTest.java b/test/jalview/io/HMMFileTest.java
index f16d6f5..be4178b 100644 (file)
--- a/test/jalview/io/HMMFileTest.java
+++ b/test/jalview/io/HMMFileTest.java
@@ -22,17 +22,14 @@ public class HMMFileTest {
 
 
 
-  HMMFile fn3 = new HMMFile(
-          new FileParse("test/jalview/io/test_fn3_hmm.txt",
-                  DataSourceType.FILE));
+  HMMFile fn3 = new HMMFile(new BufferedReader(
+          new FileReader(("test/jalview/io/test_fn3_hmm.txt"))));
 
-  HMMFile pKinase = new HMMFile(
-          new FileParse("test/jalview/io/test_PKinase_hmm.txt",
-                  DataSourceType.FILE));
+  HMMFile pKinase = new HMMFile(new BufferedReader(
+          new FileReader(("test/jalview/io/test_PKinase_hmm.txt"))));
 
-  HMMFile made1 = new HMMFile(
-          new FileParse("test/jalview/io/test_MADE1_hmm.txt",
-                  DataSourceType.FILE));
+  HMMFile made1 = new HMMFile(new BufferedReader(
+          new FileReader(("test/jalview/io/test_MADE1_hmm.txt"))));
 
   HMMFileTest() throws IOException
   {
@@ -93,28 +90,34 @@ public class HMMFileTest {
   
     assertEquals(hmm.getSymbols(), symbols);
   
-    assertEquals(getMatchEmission(0, 19, hmm), 0.032298, 0.001d);
-    assertEquals(getMatchEmission(12, 12, hmm), 0.0130, 0.001d);
-    assertEquals(getMatchEmission(23, 7, hmm), 0.02583, 0.001d);
-    assertEquals(getMatchEmission(54, 1, hmm), 0.008549, 0.001d);
-    assertEquals(getMatchEmission(178, 3, hmm), 0.07998, 0.001d);
-    assertEquals(getMatchEmission(210, 2, hmm), 0.014465, 0.001d);
-    assertEquals(getMatchEmission(260, 19, hmm), 0.02213, 0.001d);
-  
-    assertEquals(getInsertEmission(2, 1, hmm), 0.012, 0.001d);
-    assertEquals(getInsertEmission(15, 6, hmm), 0.02411, 0.001d);
-    assertEquals(getInsertEmission(22, 9, hmm), 0.06764, 0.001d);
-    assertEquals(getInsertEmission(57, 2, hmm), 0.0623, 0.001d);
-    assertEquals(getInsertEmission(203, 16, hmm), 0.0623, 0.001d);
-    assertEquals(getInsertEmission(255, 12, hmm), 0.0647, 0.001d);
-  
-    assertEquals(getStateTransition(0, 6, hmm),
-            Double.NEGATIVE_INFINITY);
-    assertEquals(getStateTransition(3, 6, hmm), 0.3848, 0.001d);
-    assertEquals(getStateTransition(29, 3, hmm), 0.5382, 0.001d);
-    assertEquals(getStateTransition(169, 3, hmm), 0.2916, 0.001d);
-    assertEquals(getStateTransition(209, 0, hmm), 0.99, 0.001d);
-    assertEquals(getStateTransition(243, 1, hmm), 0.0066, 0.001d);
+    assertEquals(hmm.getMatchEmissionProbability(0, 'Y'), 0.16102, 0.001d);
+    assertEquals(hmm.getMatchEmissionProbability(11, 'P'), 0.0130, 0.001d);
+    assertEquals(hmm.getMatchEmissionProbability(24, 'I'), 0.02583, 0.001d);
+    assertEquals(hmm.getMatchEmissionProbability(83, 'C'), 0.008549,
+            0.001d);
+    assertEquals(hmm.getMatchEmissionProbability(332, 'E'), 0.07998,
+            0.001d);
+    assertEquals(hmm.getMatchEmissionProbability(381, 'D'), 0.014465,
+            0.001d);
+    assertEquals(hmm.getMatchEmissionProbability(475, 'Y'), 0.02213,
+            0.001d);
+  
+    assertEquals(hmm.getInsertEmissionProbability(1, 'C'), 0.012, 0.001d);
+    assertEquals(hmm.getInsertEmissionProbability(14, 'H'), 0.02411,
+            0.001d);
+    assertEquals(hmm.getInsertEmissionProbability(23, 'L'), 0.06764,
+            0.001d);
+    assertEquals(hmm.getInsertEmissionProbability(90, 'D'), 0.0623, 0.001d);
+    assertEquals(hmm.getInsertEmissionProbability(374, 'T'), 0.0623,
+            0.001d);
+    assertEquals(hmm.getInsertEmissionProbability(470, 'P'), 0.0647,
+            0.001d);
+  
+    assertEquals(hmm.getStateTransitionProbability(2, 6), 0.3848, 0.001d);
+    assertEquals(hmm.getStateTransitionProbability(38, 3), 0.5382, 0.001d);
+    assertEquals(hmm.getStateTransitionProbability(305, 3), 0.2916, 0.001d);
+    assertEquals(hmm.getStateTransitionProbability(380, 0), 0.99, 0.001d);
+    assertEquals(hmm.getStateTransitionProbability(453, 1), 0.0066, 0.001d);
   
     assertEquals(hmm.getNodeAlignmentColumn(3).intValue(), 2);
     assertEquals(hmm.getReferenceAnnotation(7), '-');
@@ -130,12 +133,13 @@ public class HMMFileTest {
   
   }
   
-  @Test
+  @Test(priority = 0)
   public void testParseFileProperties() throws IOException
   {
     FileReader fr = new FileReader(
             new File("test/jalview/io/test_fn3_hmm.txt"));
     BufferedReader br = new BufferedReader(fr);
+    fn3.setHMM(new HiddenMarkovModel());
     fn3.parseFileProperties(br);
     fn3.parseModel(br); // this is for a later test
     HiddenMarkovModel testHMM = new HiddenMarkovModel();
@@ -171,6 +175,7 @@ public class HMMFileTest {
     FileReader fr3 = new FileReader(
             new File("test/jalview/io/test_MADE1_hmm.txt"));
     BufferedReader br3 = new BufferedReader(fr3);
+    made1.setHMM(new HiddenMarkovModel());
     made1.parseFileProperties(br3);
     testHMM = made1.getHMM();
     br3.close();
@@ -258,29 +263,42 @@ public class HMMFileTest {
     {
       br.readLine();
     }
+
     made1.parseModel(br);
     testHMM = made1.getHMM();
+
     br.close();
     fr.close();
   
-    assertEquals(getMatchEmission(0, 2, testHMM), 0.1961, 0.001d);
-    assertEquals(getMatchEmission(2, 1, testHMM), 0.09267, 0.001d);
-    assertEquals(getMatchEmission(12, 2, testHMM), 0.07327, 0.001d);
-    assertEquals(getMatchEmission(69, 1, testHMM), 0.04184, 0.001d);
-    assertEquals(getMatchEmission(76, 2, testHMM), 0.07, 0.001d);
-  
-    assertEquals(getInsertEmission(0, 1, testHMM), 0.25, 0.001d);
-    assertEquals(getInsertEmission(1, 2, testHMM), 0.25, 0.001d);
-    assertEquals(getInsertEmission(31, 3, testHMM), 0.2776, 0.001d);
-    assertEquals(getInsertEmission(70, 3, testHMM), 0.25, 0.001d);
-    assertEquals(getInsertEmission(80, 3, testHMM), 0.25, 0.001d);
+    assertEquals(testHMM.getMatchEmissionProbability(1, 'C'), 0.09267,
+            0.001d);
+    assertEquals(testHMM.getMatchEmissionProbability(25, 'G'), 0.07327,
+            0.001d);
+    assertEquals(testHMM.getMatchEmissionProbability(1092, 'C'), 0.04184,
+            0.001d);
+    assertEquals(testHMM.getMatchEmissionProbability(1107, 'G'), 0.07,
+            0.001d);
+  
+    assertEquals(testHMM.getInsertEmissionProbability(0, 'G'), 0.25,
+            0.001d);
+    assertEquals(testHMM.getInsertEmissionProbability(247, 'T'), 0.2776,
+            0.001d);
+    assertEquals(testHMM.getInsertEmissionProbability(1096, 'T'), 0.25,
+            0.001d);
+    assertEquals(testHMM.getInsertEmissionProbability(1111, 'T'), 0.25,
+            0.001d);
 
-    assertEquals(getStateTransition(2, 0, testHMM), 0.9634, 0.001d);
-    assertEquals(getStateTransition(6, 1, testHMM), 0.0203, 0.001d);
-    assertEquals(getStateTransition(9, 3, testHMM), 0.2515, 0.001d);
-    assertEquals(getStateTransition(20, 4, testHMM), 0.78808, 0.001d);
-    assertEquals(getStateTransition(68, 2, testHMM), 0.01845, 0.001d);
-    assertEquals(getStateTransition(80, 6, testHMM),
+    assertEquals(testHMM.getStateTransitionProbability(1, 0), 0.9634,
+            0.001d);
+    assertEquals(testHMM.getStateTransitionProbability(5, 1), 0.0203,
+            0.001d);
+    assertEquals(testHMM.getStateTransitionProbability(14, 3), 0.2515,
+            0.001d);
+    assertEquals(testHMM.getStateTransitionProbability(65, 4), 0.78808,
+            0.001d);
+    assertEquals(testHMM.getStateTransitionProbability(1080, 2), 0.01845,
+            0.001d);
+    assertEquals(testHMM.getStateTransitionProbability(1111, 6),
             Double.NEGATIVE_INFINITY);
   
   }
@@ -289,6 +307,7 @@ public class HMMFileTest {
   public void testParseAnnotations()
   {
     HMMFile testFile = new HMMFile();
+    testFile.setHMM(new HiddenMarkovModel());
     testFile.getHMM().getNodes().add(new HMMNode());
     testFile.getHMM().getNodes().add(new HMMNode());
     testFile.getHMM().getNodes().add(new HMMNode());
@@ -332,13 +351,16 @@ public class HMMFileTest {
 
 
   @Test(priority = 3)
-  public void testExportFile() throws IOException
+  public void testPrint() throws IOException
   {
-    pKinase.exportFile("test/jalview/io/test_export_hmm.txt");
+    PrintWriter writer = new PrintWriter(
+            "test/jalview/io/test_export_hmm.txt");
+    String output = pKinase.print();
+    writer.print(output);
+    writer.close();
     HMMFile pKinaseClone = new HMMFile(
             new FileParse("test/jalview/io/test_export_hmm.txt",
                     DataSourceType.FILE));
-    pKinaseClone.parse();
     HiddenMarkovModel pKinaseHMM = new HiddenMarkovModel();
     HiddenMarkovModel pKinaseCloneHMM = new HiddenMarkovModel();
     pKinaseHMM = pKinase.getHMM();
@@ -397,17 +419,11 @@ public class HMMFileTest {
   }
   
   @Test(priority = 1)
-  public void testAppendFileProperties() throws FileNotFoundException
+  public void testGetFilePropertiesAsString() throws FileNotFoundException
   {
-    PrintWriter writer = new PrintWriter(
-            "test/jalview/io/test_export_hmm.txt");
-    fn3.appendFileProperties(writer);
-    writer.close();
-    String content;
-    File file = new File("test/jalview/io/test_export_hmm.txt");
+    String string = fn3.getFilePropertiesAsString();
 
-    Scanner testScanner = new Scanner(file);
-    testScanner.useDelimiter("\\Z");
+    Scanner testScanner = new Scanner(string);
   
     String[] expected = new String[] { "HMMER3/f [3.1b1 | May 2013]",
         "NAME  fn3", "ACC   PF00041.13",
@@ -428,17 +444,9 @@ public class HMMFileTest {
   }
   
   @Test(priority = 2)
-  public void testAppendModel() throws FileNotFoundException
+  public void testGetModelAsString() throws FileNotFoundException
   {
-    PrintWriter writer = new PrintWriter(
-            "test/jalview/io/test_export_hmm.txt");
-    fn3.appendModel(writer);
-    writer.close();
-    String string;
-    File file = new File("test/jalview/io/test_export_hmm.txt");
-    Scanner scanner = new Scanner(file);
-    scanner.useDelimiter("\\Z");
-    string = scanner.next();
+    String string = fn3.getModelAsString();
 
     assertEquals(findValue(2, 2, 2, string), "4.42225");
     assertEquals(findValue(12, 14, 1, string), "2.79307");
@@ -472,19 +480,20 @@ public class HMMFileTest {
   {
   
     String value = "";
+    String current;
     Scanner scanner = new Scanner(model);
-    scanner.nextLine();
-    scanner.nextLine();
+    current = scanner.nextLine();
+    current = scanner.nextLine();
   
     for (int lineIndex = 0; lineIndex < line - 1; lineIndex++)
     {
-      scanner.nextLine();
+      current = scanner.nextLine();
     }
     for (int node = 0; node < nodeIndex; node++)
     {
-      scanner.nextLine();
-      scanner.nextLine();
-      scanner.nextLine();
+      current = scanner.nextLine();
+      current = scanner.nextLine();
+      current = scanner.nextLine();
     }
   
     for (int symbol = 0; symbol < symbolIndex; symbol++)
@@ -492,14 +501,15 @@ public class HMMFileTest {
       value = scanner.next();
       if ("COMPO".equals(value))
       {
-        scanner.next();
+        current = scanner.next();
       }
       else if (value.length() < 7)
       {
-        scanner.next();
+        current = scanner.next();
       }
   
     }
+    scanner.close();
     return value;
   
   }
@@ -522,56 +532,5 @@ public class HMMFileTest {
     return isDifferent;
   }
 
-  /**
-   * gets the match emission at a node for a symbol
-   * 
-   * @param nodeIndex
-   *          position of node in model
-   * @param symbolIndex
-   *          index of symbol being searched
-   * @return negative log probability of a match emission of the given symbol
-   */
-  public double getMatchEmission(int nodeIndex, int symbolIndex,
-          HiddenMarkovModel hmm)
-  {
-    double value = hmm.getNodes().get(nodeIndex).getMatchEmissions()
-            .get(symbolIndex);
-    return value;
-  }
-
-  /**
-   * gets the insert emission at a node for a symbol
-   * 
-   * @param nodeIndex
-   *          position of node in model
-   * @param symbolIndex
-   *          index of symbol being searched
-   * @return negative log probability of an insert emission of the given symbol
-   */
-  public double getInsertEmission(int nodeIndex, int symbolIndex,
-          HiddenMarkovModel hmm)
-  {
-    double value = hmm.getNodes().get(nodeIndex).getInsertEmissions()
-            .get(symbolIndex);
-    return value;
-  }
-
-  /**
-   * gets the state transition at a node for a specific transition
-   * 
-   * @param nodeIndex
-   *          position of node in model
-   * @param transitionIndex
-   *          index of stransition being searched
-   * @return negative log probability of a state transition of the given type
-   */
-  public double getStateTransition(int nodeIndex, int transitionIndex,
-          HiddenMarkovModel hmm)
-  {
-    double value = hmm.getNodes().get(nodeIndex).getStateTransitions()
-            .get(transitionIndex);
-    return value;
-  }
-
 }
 

diff --git a/test/jalview/io/test_export_hmm.txt b/test/jalview/io/test_export_hmm.txt
index e69de29..be9aa57 100644 (file)
--- a/test/jalview/io/test_export_hmm.txt
+++ b/test/jalview/io/test_export_hmm.txt
@@ -0,0 +1,807 @@
+HMMER3/e [3.0 | March 2010]
+NAME  Pkinase
+ACC   PF00069.17
+DESC  Protein kinase domain
+LENG  260
+ALPH  amino
+RF    no
+MM    no
+CONS  yes
+CS    yes
+MAP   yes
+DATE  Thu Jun 16 11:44:06 2011
+NSEQ  54
+EFFN  3.358521
+CKSUM 3106786190
+GA    70.30 70.30
+TC    70.30 70.30
+NC    70.20 70.20
+STATS LOCAL MSV      -10.7215  0.70254
+STATS LOCAL VITERBI  -11.6541  0.70254
+STATS LOCAL FORWARD   -5.2305  0.70254
+HMM          A        C        D        E        F        G        H        I        K        L        M        N        P        Q        R        S        T        V        W        Y
+            m->m     m->i     m->d     i->m     i->i     d->m     d->d
+  COMPO   2.60017  4.19886  2.94089  2.63789  3.35087  2.89119  3.48337  2.79435  2.60265  2.43454  3.62613  3.06133  3.41286  3.09693  2.94507  2.65650  2.87761  2.67871  4.54052  3.43274
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.00000        *
+      1   2.91704  4.31028  4.76351  3.63148  2.10912  3.47710  4.39734  2.27639  3.96619  1.99282  3.42844  4.19567  4.43771  4.11903  3.67403  3.22736  3.14918  2.35905  3.32515  1.82622 1 y -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      2   2.77204  4.20708  3.06476  1.97968  4.66603  3.66509  3.19858  3.37903  2.25347  3.34018  4.38833  2.97180  4.05804  2.36838  2.43173  2.67542  2.50268  2.83403  5.78758  4.38976 2 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      3   2.90076  4.04294  3.31590  2.80413  3.08157  3.87481  4.12616  2.18958  2.49735  1.97194  3.73714  3.32717  3.98753  3.23115  3.12315  2.99137  2.62008  2.29426  5.21478  3.75979 3 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      4   2.89383  4.85429  3.10311  2.63174  3.71383  2.56808  3.47232  2.82076  2.61844  1.98342  3.72320  3.05498  4.17347  3.05527  3.32194  2.85608  2.93671  2.18878  5.40057  3.87183 4 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      5   2.68261  5.39185  2.80437  1.87471  4.73638  2.79887  3.69591  4.22191  2.19487  3.69685  4.08896  3.12413  3.70490  2.48424  2.08916  2.53260  3.02309  3.43812  5.82480  4.41426 5 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      6   2.77253  4.06085  3.07881  2.53373  4.10647  3.71564  3.68370  2.64290  2.00036  2.72968  4.17370  3.24239  3.08607  2.77632  2.72820  2.69921  2.54335  2.71931  5.60386  4.26496 6 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      7   3.42930  4.74416  5.34765  4.76823  3.71832  4.71430  5.09461  1.33015  3.54417  1.12594  3.33523  4.84641  5.00427  4.73010  4.64986  4.05097  3.66327  1.83083  5.51142  4.37013 7 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      8   2.57460  4.94286  4.00732  3.93216  5.40516  0.41612  5.15134  4.86315  4.18766  4.52736  5.33508  4.05990  4.45245  3.74651  4.46171  3.15888  3.14590  4.15180  6.71159  5.52767 8 G -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+      9   2.30218  5.38172  3.03799  2.02026  4.18991  3.65799  3.84554  3.67215  2.28945  3.68495  4.42365  2.84227  3.73039  2.44555  2.39428  2.00278  2.95859  3.63127  5.81726  4.40923 9 s -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     10   4.54226  6.07621  5.39207  5.44513  6.34643  0.07137  6.34600  6.33790  5.73770  5.76452  6.83374  5.56171  5.46536  5.98137  5.73783  4.76037  5.08470  5.67502  7.03864  6.52156 10 G -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     11   2.06444  5.37337  2.91595  2.40063  4.70969  2.61181  3.84889  4.18948  2.46835  3.67503  4.41668  2.62917  4.05392  2.88235  2.66711  2.00495  2.47288  3.39649  5.81159  4.40596 11 s -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     12   2.90920  4.46494  4.12493  3.14570  1.52027  3.22992  4.24969  2.92840  3.46467  2.66529  3.12827  3.55640  4.33979  3.72214  3.72236  2.53517  2.98442  2.55125  5.06498  2.30159 12 f -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     13   2.21104  4.80722  4.64199  4.55509  5.54982  0.52550  5.49025  5.04875  4.70671  4.72740  5.47955  4.30215  4.43233  4.84666  4.86038  1.95116  3.45005  4.17507  6.87595  5.79039 13 G -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     14   2.71551  3.46186  3.01248  2.27453  4.55840  3.55853  3.50842  3.55064  2.03335  3.34882  4.31847  3.17065  4.07218  2.83960  2.83653  2.25762  2.26864  2.61469  5.72841  4.35037 14 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     15   3.17885  3.97005  5.63014  5.16553  4.35293  4.89782  5.77682  2.09398  5.06494  2.94083  4.14496  5.20428  5.30924  5.30763  5.20260  4.32158  3.61414  0.44769  6.26043  5.04118 15 V -
+          2.68625  4.42232  2.77526  2.73102  3.46361  2.40519  3.72501  3.29361  2.67747  2.69306  4.24696  2.90353  2.73746  3.18153  2.89807  2.37893  2.77526  2.98499  4.58484  3.61510
+          0.09563  2.43065  5.73865  0.67073  0.71608  0.48576  0.95510
+     16   2.91101  3.31342  4.36759  3.41772  2.45121  4.01227  4.31421  2.75922  2.81772  2.31733  3.50420  3.69862  4.38187  3.88257  3.14725  3.02772  3.14303  2.46483  3.37889  1.69905 18 y -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     17   2.88484  5.28431  3.03179  2.31849  4.58595  3.47769  3.54625  2.98124  1.69233  2.43413  4.04064  3.16353  4.06907  2.72555  2.58277  2.55274  3.04512  3.20501  5.74377  4.36100 19 k -
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+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.56084  0.85690  5.33966  1.67148  0.20822  0.22069  1.61932
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.01003  5.00344  5.72579  0.61958  0.77255  0.52175  0.90012
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+     79   2.81579  3.90369  4.68991  4.08721  2.27644  4.06399  3.63829  2.69790  3.58050  1.84024  3.31248  4.16081  4.42953  4.07816  3.60709  3.36667  3.01039  2.57256  4.40465  1.54393 137 y -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    112   2.18892  5.38966  2.64044  1.97751  4.73333  3.65659  3.60437  3.92129  2.10090  3.35469  4.43069  2.33847  4.05005  2.60616  2.77179  2.58383  3.11351  3.51057  5.82316  3.92131 196 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    113   2.81051  5.07767  4.77644  4.29954  2.03535  4.57845  2.23184  3.59557  4.18346  3.18325  4.21755  4.37554  4.93163  4.33627  4.35340  3.88728  3.48134  3.41897  4.49144  0.85916 197 y -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    114   3.22459  2.61128  5.38969  4.79509  3.58979  4.68737  5.03975  1.79213  4.61293  0.89179  2.61919  4.84389  4.96801  4.69100  4.62327  4.02095  3.66625  2.57847  5.40913  4.29402 198 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    115   4.50357  5.94639  4.67261  4.49457  2.97674  4.90740  0.35314  4.75553  4.20979  3.98991  5.25041  4.60971  5.36272  4.62490  4.36557  4.47961  4.76464  4.60938  4.62703  2.51319 199 H -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    116   2.59851  4.33805  2.68311  2.05797  4.71676  3.15802  3.59362  3.65569  2.43439  3.32473  4.42034  2.78736  4.05190  2.70193  2.69422  1.73897  3.11362  3.60918  5.81450  4.40740 200 s -
+          2.68619  4.42226  2.77521  2.73118  3.46355  2.40514  3.72496  3.29355  2.67742  2.69356  4.24691  2.90348  2.73741  3.18131  2.89802  2.37888  2.77521  2.98510  4.58478  3.61505
+          0.04979  3.09322  5.73865  0.35009  1.21950  0.48576  0.95510
+    117   2.54785  4.42029  2.89622  2.25922  4.34868  3.66610  3.21799  3.71995  2.27125  3.07920  3.10189  2.25867  4.05899  2.34775  2.56766  2.85682  3.11428  3.36249  5.78309  3.93739 202 n -
+          2.68634  4.42198  2.77524  2.73138  3.46344  2.40486  3.72467  3.29300  2.67713  2.69352  4.24714  2.90371  2.73709  3.18145  2.89825  2.37911  2.77527  2.98532  4.58501  3.61528
+          0.09842  2.40225  5.73865  1.69597  0.20263  0.48576  0.95510
+    118   2.53322  5.34393  2.95935  2.59629  3.94657  1.84501  3.63806  4.14023  2.18335  3.64044  4.39013  2.55576  3.77395  2.95784  2.71428  2.21077  3.11477  3.72355  4.68564  4.39095 213 g -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    119   3.55513  4.24694  5.60079  5.05662  2.60993  4.96071  5.43324  0.97900  4.91818  2.09234  3.80321  5.12225  5.23216  5.06726  4.97588  4.32549  3.79818  1.34455  5.81250  4.64107 214 i -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    120   2.50668  3.55624  4.84676  4.23404  3.24346  4.08398  4.41611  1.66920  4.02684  2.01982  2.79518  4.23489  4.44784  4.16480  3.83668  2.91482  2.83994  1.71230  4.92013  3.32611 215 i -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    121   4.62495  5.94818  4.90176  4.71687  2.80207  5.05504  0.41821  4.71670  4.43975  3.92227  5.21366  4.70109  5.45885  4.74110  4.56151  4.57303  4.86606  4.59605  4.46431  2.05738 216 H -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    122   3.04282  4.16968  3.83274  3.22981  4.12386  3.92565  4.16387  3.45658  2.89535  2.79946  3.52962  3.63885  4.33284  3.40809  0.88367  3.03173  2.91452  3.20781  5.47983  4.24517 217 r -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    123   4.66549  6.56867  0.13049  3.73947  6.20930  4.51726  5.46620  6.15252  4.80154  5.54790  6.65359  4.31602  5.22661  4.77980  5.35908  4.57977  5.04873  5.69924  7.06132  6.05090 218 D -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    124   4.11594  5.30633  6.13178  5.57769  3.73657  5.59693  5.98457  1.50133  5.46568  0.67788  3.07617  5.76705  5.63423  5.36401  5.43088  5.00606  4.33175  2.14525  5.97972  5.01356 219 L -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    125   4.55719  6.24846  4.80697  4.34215  5.94023  4.73956  5.02576  5.52333  0.17090  4.86848  5.87217  4.66859  5.24422  4.23030  3.41495  4.59394  4.77093  5.20290  6.57866  5.65826 220 K -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    126   2.73388  4.87911  3.10327  2.90832  4.07991  3.41413  4.01646  3.20246  2.89177  2.38683  3.78561  3.39051  1.51394  3.22647  3.32105  2.31617  2.81372  3.19214  5.43675  4.15025 221 p -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    127   2.30763  5.39894  2.49711  1.50775  4.74209  3.53358  3.60730  4.22742  2.31483  3.70337  3.89187  2.94609  4.05547  2.65035  3.08133  2.29509  3.12215  3.78862  5.83238  4.42137 222 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    128   4.24075  6.04161  4.10323  4.13804  5.66046  4.44992  5.52992  5.77835  4.64675  5.26705  6.30900  0.15130  5.17553  4.91694  4.94682  4.32646  4.70552  5.25421  6.75952  5.61338 223 N -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    129   3.55135  3.88080  5.58388  5.03211  3.05772  4.93598  5.38843  0.81084  4.88763  1.84199  3.74557  5.09695  5.20522  5.02095  4.93631  4.29650  3.79207  1.75582  5.75938  4.60163 224 i -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    130   4.26500  5.46000  6.21355  5.61602  2.31085  5.64571  5.88455  2.68862  5.47780  0.52109  2.36789  5.81754  5.61663  5.25881  5.37169  5.03996  4.45544  2.72136  5.81387  4.88779 225 L -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    131   3.14725  3.80930  5.11896  4.51210  2.75868  4.35237  4.69393  1.48763  4.30885  1.32733  3.15909  4.51494  4.68518  4.42027  4.31553  3.67228  3.37834  1.91515  5.14039  3.60311 226 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    132   2.83132  4.28838  2.02200  2.41335  4.70055  3.12743  3.31546  4.17875  2.06503  3.46693  4.09733  2.49326  4.05387  2.94892  3.07895  2.27711  2.89161  2.90947  5.80603  4.40188 227 d -
+          2.68620  4.42227  2.77521  2.73125  3.46356  2.40515  3.72496  3.29356  2.67743  2.69346  4.24692  2.90348  2.73741  3.18137  2.89794  2.37889  2.77521  2.98513  4.58479  3.61505
+          0.19179  2.92011  2.11536  0.31959  1.29625  0.48576  0.95510
+    133   2.77846  5.34345  2.73873  2.12504  4.68884  3.31622  3.10327  4.17503  2.07146  3.64885  4.14408  2.35495  3.55373  2.53396  2.68259  2.30312  2.80970  3.73426  5.77591  4.07717 229 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01122  4.89146  5.61380  0.61958  0.77255  0.46383  0.99121
+    134   2.76231  5.37627  2.40965  2.30431  4.72103  3.48860  3.46007  4.20680  2.15285  3.68141  4.41704  2.22463  3.54282  2.67483  2.66394  2.48608  2.48229  3.08661  5.80911  4.39830 230 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01030  4.97674  5.69908  0.61958  0.77255  0.42506  1.06054
+    135   2.88621  4.31580  2.58861  2.52891  4.00821  1.80604  3.64216  3.70404  2.55848  3.01103  3.82083  2.93142  3.28125  2.96153  3.15140  2.63196  2.92652  3.07947  5.65563  3.39061 231 g -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    136   2.74326  5.32913  2.62872  2.23118  4.20190  3.27586  3.01088  3.39612  2.54602  3.28443  3.99578  2.66732  4.06020  2.45230  2.82728  2.54748  2.65672  2.69485  5.77785  3.49295 232 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    137   2.61635  3.28525  4.16732  3.71739  2.98202  4.03403  4.34546  2.03775  3.50788  1.92540  3.47356  3.38535  3.11745  3.96570  3.52677  3.32696  2.46663  1.86856  4.97202  3.78516 233 v -
+          2.68644  4.42087  2.77438  2.73125  3.46306  2.40580  3.72561  3.29182  2.67742  2.69394  4.24637  2.90298  2.73752  3.18209  2.89809  2.37898  2.77573  2.98487  4.58490  3.61464
+          0.36530  1.19470  5.73865  2.01193  0.14356  0.48576  0.95510
+    138   2.92386  3.12674  3.30583  2.50241  4.41812  3.73989  3.57074  3.83865  1.16713  3.42239  3.64701  3.25964  4.12762  3.06518  2.74407  2.94589  3.15200  3.22587  5.64420  3.71460 253 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    139   3.61791  5.07369  5.93139  5.42030  4.01697  5.40165  5.95563  1.06228  5.32659  1.08905  3.76387  5.56598  5.56723  5.42106  5.39317  4.81179  4.11011  1.74432  6.14737  5.05160 254 i -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    140   1.74479  2.79152  4.35686  3.77898  3.55350  2.78668  4.34505  2.08763  3.66685  2.55990  3.56128  3.98833  4.38080  3.89329  3.86150  2.46831  2.34811  2.41028  5.05799  3.86488 255 a -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    141   4.66549  6.56867  0.13049  3.73947  6.20930  4.51726  5.46620  6.15252  4.80154  5.54790  6.65359  4.31602  5.22661  4.77980  5.35908  4.57977  5.04873  5.69924  7.06132  6.05090 256 D -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    142   4.66482  5.73614  5.86239  5.64956  0.40883  5.43325  4.33355  3.86711  5.42110  2.16428  4.36705  5.11239  5.65371  5.16689  5.27011  4.83252  4.86624  3.98432  3.74189  2.69037 257 F -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    143   3.93699  5.85566  3.02816  3.87037  6.00993  0.21285  5.44927  5.75466  4.70121  5.27717  6.21696  4.31536  4.99427  4.76567  5.12629  4.02226  4.42780  5.10478  6.99282  5.96830 258 G -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
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+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.07711  4.99453  2.69658  0.61958  0.77255  0.54567  0.86620
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+          0.13472  4.92824  2.13029  0.61958  0.77255  0.70219  0.68419
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.03484  3.47295  5.73865  0.99675  0.46057  0.48576  0.95510
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
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+          0.12919  2.22240  4.35495  1.23224  0.34480  0.48576  0.95510
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+          0.00999  5.00664  5.72898  0.61958  0.77255  0.51297  0.91308
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+          0.62427  1.87899  1.16602  1.98855  0.14722  0.46912  0.98231
+    172   2.60166  5.18307  2.62016  2.19793  3.35206  2.39740  3.57105  3.96340  2.18128  3.47543  4.23188  3.01161  3.92489  2.82990  2.86326  2.33987  2.67701  3.55746  5.63416  3.78538 327 k -
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+          0.01428  4.65191  5.37425  0.61958  0.77255  0.24611  1.52250
+    173   2.37600  3.94341  2.81761  2.45806  4.08381  2.38833  3.32666  4.15213  2.47322  3.64753  4.39446  2.71786  3.74359  2.39493  2.76163  2.38666  3.00597  3.01776  5.79219  3.82026 328 a -
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+          0.00998  5.00778  5.73012  0.61958  0.77255  0.47101  0.97916
+    174   2.81816  4.87774  2.88922  2.34131  3.91699  3.47934  3.84840  3.76601  2.22767  3.10881  4.41163  2.46519  2.75598  2.51039  2.43545  2.43680  2.76354  3.54179  5.80719  3.84984 329 k -
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+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    175   2.74169  5.33416  2.58184  2.32653  3.61666  2.33545  3.50275  4.12419  2.36762  3.50261  3.56274  2.91332  3.07814  2.74477  2.96926  2.79421  2.92848  3.32496  5.78164  2.72284 330 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    176   2.48397  4.72191  2.72922  2.94719  3.45604  3.83733  2.73484  2.72590  3.03376  2.94128  3.81928  3.51045  4.21965  3.13222  3.31573  2.84267  3.12967  2.71705  3.94971  1.76193 331 y -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    177   2.88858  5.15756  2.48812  2.69267  3.68939  2.20273  3.90720  3.84889  2.69072  3.17648  4.22648  3.21985  3.19313  3.04303  3.16266  2.07644  2.02474  3.50391  5.64990  3.69862 332 t -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    178   2.44412  5.27089  3.18567  2.52594  4.01181  3.49400  3.20300  3.68711  2.26882  2.99802  4.32458  3.16791  2.73532  2.67304  2.47574  2.35896  2.41445  3.31659  5.73361  3.79657 333 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    179   2.27957  5.36842  3.14470  2.24142  4.70283  3.35867  3.70433  4.18054  1.84880  3.00297  4.41216  3.13478  2.50109  2.87247  2.49374  2.50485  2.88881  3.75338  5.80713  4.40386 334 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    180   2.25487  3.19836  3.67383  3.53894  3.58335  3.60706  4.24810  2.30247  3.45618  2.57768  3.58074  3.40343  4.33674  3.48890  3.71724  2.25302  2.94661  1.56396  5.07167  3.86608 335 v -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    181   3.32488  6.23611  0.30142  2.99559  5.85936  3.97225  4.81661  5.46625  4.07634  5.00781  5.98660  3.57219  4.70996  4.04099  4.76451  3.76774  4.26196  4.95940  7.04785  5.56474 336 D -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    182   2.97530  4.34655  4.92112  4.31006  3.42469  4.15298  4.48903  1.67409  4.10270  2.14170  2.44181  4.30839  4.51041  4.23558  4.11915  3.46567  2.80277  1.45020  3.28394  3.56694 337 v -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    183   4.60767  5.71652  5.61554  3.89031  2.18526  5.28181  4.15190  4.32304  5.18037  3.62888  4.88484  4.90634  5.56392  5.01906  5.10312  4.65700  4.81381  4.22147  0.60655  1.74323 338 W -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    184   1.30551  4.78823  4.65738  4.37945  5.36630  2.58206  5.28849  4.84019  4.38318  4.50739  5.27020  4.22569  4.39579  4.59600  4.61395  0.79404  2.89139  4.06528  6.68751  5.56026 339 s -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    185   2.44153  3.17932  4.87400  4.25972  2.53121  4.09082  4.42403  2.33144  4.04748  1.34403  2.92510  4.24940  4.45392  4.18053  4.05982  3.14600  3.15398  2.13810  4.92017  3.14864 340 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    186   2.22507  4.96728  4.63623  4.63233  5.66307  0.33314  5.62287  5.16416  4.86793  4.86816  5.66661  4.43512  4.57282  5.01497  4.99264  3.26151  3.63533  4.32703  6.92990  5.89905 341 G -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    187   2.93009  2.13614  4.95885  4.35253  3.48038  4.19799  4.54424  1.68794  4.14925  1.93394  3.18432  4.35359  4.55452  4.28834  4.17024  3.34008  3.23972  1.60527  5.03746  3.47367 342 v -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    188   3.21831  4.55127  5.17022  4.58630  3.70338  4.47717  4.86313  1.30610  4.40976  1.92114  2.79907  4.62299  4.81179  4.56490  4.45688  3.52794  2.67243  1.42404  5.34369  4.16408 343 i -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    189   2.77853  3.56970  4.91220  4.29933  2.66878  4.13468  4.46922  2.12981  4.08926  1.13811  3.14072  4.29275  4.49323  4.21981  4.10205  3.44689  2.88537  2.20246  4.95897  3.46211 344 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    190   2.08301  4.31008  4.80905  4.20025  2.66597  4.08391  3.54227  2.07553  4.00182  2.35024  3.19529  4.21899  4.44796  4.14611  4.03654  3.39206  3.15615  2.32332  2.91148  1.86433 345 y -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    191   2.65126  3.79080  3.03118  1.37895  4.54227  3.68257  3.87660  3.27048  2.56225  3.53374  4.30787  2.88399  4.07460  2.72714  3.11894  2.49943  2.86114  3.20681  5.71940  3.61825 346 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    192   2.75949  4.33120  4.86063  4.24972  2.93412  4.11800  4.44873  2.58063  4.04775  1.34098  1.86205  4.26240  4.47769  4.18564  4.07448  3.30982  2.87183  2.17494  4.95131  3.25026 347 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    193   2.13730  3.34433  4.84746  4.23449  2.67079  4.08305  4.41495  2.45417  4.02682  1.45586  2.95446  4.23448  4.44687  4.16424  3.65241  3.39295  2.78239  2.10310  4.91833  3.10946 348 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    194   2.61714  3.04119  3.51958  2.50105  3.16562  3.44068  4.02999  3.26384  2.78703  2.46125  3.90521  2.94061  4.18669  3.26384  2.94427  2.45451  1.92365  2.96026  5.36672  3.77569 349 t -
+          2.68592  4.42131  2.77530  2.73134  3.46364  2.40523  3.72505  3.29364  2.67751  2.69365  4.24624  2.90357  2.73750  3.18157  2.89769  2.37886  2.77510  2.98507  4.58487  3.61513
+          0.08274  2.77459  4.07273  1.24373  0.34011  0.48576  0.95510
+    195   2.74009  5.38236  2.60734  2.58658  4.30151  1.49346  3.57775  4.19577  2.06867  3.68256  4.42710  2.84258  4.06100  2.86136  2.79826  2.78642  3.12785  3.76776  5.82019  4.41533 355 g -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.02515  5.00240  4.01100  0.61958  0.77255  0.52459  0.89600
+    196   2.87057  4.15783  2.81932  2.15097  3.67482  3.00161  3.44561  3.53712  2.01194  3.52030  4.39830  2.84675  4.04172  2.62971  2.18111  2.65254  2.90372  3.46034  5.79407  3.92999 356 k -
+          2.68632  4.42239  2.77496  2.73101  3.46368  2.40527  3.72508  3.29339  2.67739  2.69369  4.24616  2.90361  2.73734  3.18160  2.89815  2.37901  2.77533  2.98486  4.58491  3.61430
+          0.06990  2.74572  5.70978  1.46974  0.26135  0.43968  1.03351
+    197   2.53761  4.57755  3.85895  3.05555  3.06219  3.90225  3.89097  2.90555  3.23603  1.98376  3.43681  3.14844  2.18635  3.28921  3.56902  2.76101  2.38583  2.48063  5.16546  3.65117 363 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    198   2.94035  4.49377  4.16973  3.59341  3.59928  3.99457  4.28692  2.57573  3.48228  2.11382  3.59630  3.88641  1.19333  3.75706  3.46613  3.08341  3.17527  2.51467  5.10025  3.66586 364 p -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    199   2.95410  3.97958  4.76382  4.16399  1.23466  4.10162  4.38107  2.78567  3.65586  2.19089  3.46719  4.20671  3.78920  4.13156  4.03525  3.25126  3.18603  2.50296  2.73984  2.86766 365 f -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    200   2.72297  4.82530  2.62940  2.35446  3.83755  3.31971  3.71413  4.17131  2.26174  3.54363  4.14174  3.02369  2.60946  2.49179  2.66057  2.21727  2.99115  3.74587  4.55596  3.10965 366 s -
+          2.68620  4.42227  2.77522  2.73112  3.46340  2.40515  3.72496  3.29334  2.67743  2.69357  4.24692  2.90349  2.73742  3.18148  2.89803  2.37889  2.77522  2.98520  4.58479  3.61505
+          0.07731  2.84051  4.13492  0.30572  1.33404  0.48576  0.95510
+    201   2.63880  5.38435  2.63657  2.22720  4.72697  1.94780  3.15235  3.87964  2.57669  3.68860  4.42577  2.57921  3.16991  2.74291  2.86900  2.50219  2.85278  3.77370  5.81843  4.40865 368 g -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01003  5.00344  5.72579  0.61958  0.77255  0.52175  0.90012
+    202   2.40102  4.71375  2.46996  2.13243  4.71840  3.11745  3.05416  3.48265  2.25142  3.16134  4.41932  2.93828  3.25177  2.60824  2.79040  2.58260  2.90071  3.38079  5.81277  4.40438 369 e -
+          2.68658  4.42180  2.77453  2.73123  3.46394  2.40505  3.72421  3.29333  2.67765  2.69382  4.24730  2.90354  2.73686  3.18110  2.89829  2.37906  2.77522  2.98525  4.58428  3.61543
+          0.55463  1.48984  1.60791  1.39890  0.28351  0.52175  0.90012
+    203   2.69338  5.29005  2.51143  2.25105  4.62988  2.84270  3.49832  3.48405  2.27737  3.31427  4.33211  2.56706  3.20350  2.85310  2.67590  2.21378  2.73620  3.67787  5.72586  4.31806 375 s -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01250  4.78398  5.50633  0.61958  0.77255  0.95212  0.48763
+    204   2.65942  5.19894  2.69156  2.28179  3.77027  3.19251  3.77484  3.06173  2.43464  2.99400  3.94013  2.58274  3.44930  2.63512  2.62020  2.46578  2.71730  3.35179  5.65696  3.80565 376 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01250  4.78398  5.50633  0.61958  0.77255  0.77169  0.62033
+    205   2.38920  5.21254  2.73488  2.26876  4.51445  3.29559  3.03245  3.05648  2.42252  2.83088  3.97624  2.72691  3.66747  2.74292  2.65924  2.79642  2.87825  3.04317  5.67196  3.47007 377 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
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+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    238   2.63113  4.16111  2.70523  2.01221  4.32546  2.89528  3.69801  3.91463  1.97992  3.37990  4.41866  2.72468  4.05215  2.88390  2.65380  2.44936  2.78930  3.52828  5.81309  3.68713 449 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    239   2.79532  4.56741  2.59886  2.26653  4.72524  2.97326  3.84498  4.20852  1.87988  3.68761  4.42563  2.67816  4.05093  2.72680  2.26697  2.39445  3.11354  3.44147  4.06926  3.70096 450 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    240   2.76031  1.91137  4.93344  4.32897  3.47342  4.21043  4.55379  2.12811  4.13437  1.60981  2.11111  4.35327  4.56463  4.27495  4.16872  3.52442  2.73881  2.49904  5.05160  3.88034 451 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    241   3.00579  3.43594  4.91160  4.30236  2.88535  4.17356  4.48924  2.41412  3.62991  0.97514  3.41700  4.31537  4.52645  4.23058  4.12367  3.48482  3.23680  2.59853  2.70167  3.78558 452 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    242   2.51291  3.86266  2.42773  2.26878  4.71076  3.65927  3.14908  3.51790  2.32370  3.67561  4.41657  2.44903  4.05255  2.58104  2.64695  2.72413  2.48024  3.27065  5.81133  3.77060 453 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    243   2.89024  4.99098  3.22187  2.69841  3.16242  3.74556  3.43367  3.45008  2.12873  2.47972  3.65551  3.30484  3.00902  2.69329  2.47140  2.87653  2.77051  2.80352  4.74384  3.09104 454 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    244   2.75442  4.59220  1.48443  2.55169  4.69407  3.66624  3.85987  4.16899  2.26580  3.66358  4.41104  2.16093  4.06270  2.96232  2.94350  2.69711  3.00639  3.21953  5.80766  4.40610 455 d -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    245   2.53666  4.51809  3.31495  2.50094  3.81458  3.47863  3.66745  3.68842  2.74796  3.30408  3.76297  2.90283  1.45947  2.98944  2.97069  2.84711  3.12065  2.90248  5.56105  4.23506 456 p -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    246   2.18867  5.36299  2.90524  2.21328  4.32931  3.53924  3.49382  3.97251  2.24621  3.14962  3.99253  2.78034  3.78478  2.54072  2.85251  2.30318  2.70173  3.25844  5.80328  3.47734 457 a -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    247   2.48590  4.36945  2.67418  2.22639  4.72760  3.65776  3.84501  4.21118  1.68322  3.11616  4.42723  3.02530  4.05117  2.52411  2.40832  2.54354  2.78662  3.77464  5.82017  4.41136 458 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    248   3.97870  5.88109  4.77637  3.79584  5.10245  4.51923  4.26030  4.68907  2.25479  4.07008  4.99673  4.06985  4.83329  3.42182  0.45649  3.98836  4.07883  4.42272  3.45519  4.78623 459 R -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    249   2.59820  4.04607  4.60274  4.00452  3.26886  3.61184  4.36773  2.06089  3.84570  1.56372  3.45362  4.11687  2.06890  4.02734  3.95003  2.68390  3.14561  2.58630  4.40258  3.38622 460 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.04987  5.01631  3.16967  0.61958  0.77255  0.48576  0.95510
+    250   2.79362  5.19179  3.01710  2.75300  4.64905  2.77281  4.01085  4.10036  2.79939  3.46822  4.43166  2.61914  4.12461  3.14023  3.27668  1.68833  1.53351  3.69065  5.84113  4.47617 461 t -
+          2.68631  4.42192  2.77519  2.73130  3.46353  2.40482  3.72508  3.29367  2.67738  2.69360  4.24703  2.90360  2.73753  3.18148  2.89804  2.37867  2.77518  2.98532  4.58490  3.61498
+          0.12278  2.37863  3.77824  1.17468  0.36950  0.42506  1.06054
+    251   1.47902  3.78300  4.72209  4.11644  2.74562  3.65840  4.38345  2.02614  3.93274  2.07959  3.21794  4.17061  3.49702  4.09137  3.99270  2.98272  3.05871  2.38788  4.48487  3.74373 467 a -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01009  4.99737  5.71972  0.61958  0.77255  0.53813  0.87669
+    252   2.38222  4.71734  2.84513  2.05232  4.42547  3.25385  3.43556  4.19285  2.14440  3.09056  3.51596  2.80436  3.18490  2.67888  2.63294  2.69832  2.67125  3.58577  5.80764  4.40015 468 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01009  4.99737  5.71972  0.61958  0.77255  0.45436  1.00747
+    253   2.65797  4.06542  2.63237  1.57032  4.71890  3.65831  3.45654  4.20087  2.52289  3.68238  4.00276  3.00654  3.59507  2.12286  2.86428  2.58695  3.11362  3.45316  5.81563  3.91003 469 e -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    254   1.93383  3.77543  4.87213  4.26567  3.27005  3.35948  4.48352  1.60295  4.06924  1.71770  3.29328  4.28554  4.50523  4.21524  4.10410  3.45599  3.20183  2.00553  4.99383  3.81574 470 i -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    255   2.91099  3.35807  4.39311  3.80506  3.12662  3.41984  4.32058  2.74098  2.62412  1.35983  2.89439  3.70896  4.38574  3.55146  3.43970  3.02120  3.14303  2.30767  4.99433  3.18557 471 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    256   2.62697  4.23577  2.94369  2.01671  4.73311  3.52212  3.12192  4.21804  1.98366  3.41966  4.43054  2.33684  4.05005  2.29561  2.80226  2.65814  2.90658  3.41449  5.82302  4.41298 472 k -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00990  5.01631  5.73865  0.61958  0.77255  0.48576  0.95510
+    257   2.67425  5.24257  2.69003  2.64384  4.09422  3.68496  1.59772  3.97575  2.52719  3.06621  3.97630  3.17995  4.07682  2.88982  2.86815  2.31165  2.78826  3.60139  5.71188  4.10399 473 h -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.18941  5.01631  1.79622  0.61958  0.77255  0.48576  0.95510
+    258   2.81850  5.23743  2.76502  2.35780  4.54654  3.39495  3.79640  3.57339  2.36240  3.35446  4.28834  3.08690  1.61434  2.83455  2.79066  2.56844  3.04975  3.37601  5.69198  4.30446 474 p -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01183  4.83873  5.56107  0.61958  0.77255  0.86853  0.54398
+    259   3.22678  4.58175  4.94227  4.40609  1.73776  4.31983  4.20406  3.01156  4.21650  2.23279  3.33965  4.33985  4.66520  3.80636  4.24184  3.63704  3.45535  2.61441  1.69956  1.91736 475 w -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.01183  4.83873  5.56107  0.61958  0.77255  0.30436  1.33787
+    260   2.99670  4.36610  4.95290  4.33956  1.72799  3.71830  4.50360  1.92619  4.12878  1.69258  2.79907  4.33234  4.52551  4.25179  4.13733  3.48573  3.22794  1.98896  4.25850  3.81122 476 l -
+          2.68618  4.42225  2.77519  2.73123  3.46354  2.40513  3.72494  3.29354  2.67741  2.69355  4.24690  2.90347  2.73739  3.18146  2.89801  2.37887  2.77519  2.98518  4.58477  3.61503
+          0.00667  5.01308        *  0.61958  0.77255  0.00000        *
+//
\ No newline at end of file