首先,我想说我不是要求更多的答案,所以我可以从这个问题中学习。每次运行我的代码时,我都会在ArrayOperations java文件的第254行上获得Array Index Out of Bounds。
if (SearchKey == tempArray[middle])
我已经尽可能多地添加了对此代码的检查,并且尽可能地为您提供了评论。如果可能的话,我正在寻找有关这方面的建议,而不仅仅是直接的答案。错误似乎总是给我我的数据项的1/2的负面版本 例如:100,000个数据项,数组索引超出界限:-49,999。
import javax.swing.*;
// File-related imports
import java.io.IOException;
import java.util.Scanner;
import java.io.File;
public class ArrayOperations
{
// File Parameters
String DataFilePath;
String DataFileName;
String KeysFilePath;
String KeysFileName;
int NumberOfDataItems;
int NumberOfKeys;
int N;
int BucketHashArraySize;
int NoBuckets;
//Array
int[] OriginalArray = new int[1000000];
int[] SortedArray = new int[1000000];
int[] HashedArray = new int[2000000];
int[] BucketHashedArray = new int[2000000];
int[] KeysArray = new int[1000000];
long SSAverageAccessTime;
long SSAverageCompSuc;
long SSAverageCompFailed;
long SSNumberKeysSuc;
long SSNumberKeysFailed ;
long BSAverageAccessTime;
long BSAverageCompSuc ;
long BSAverageCompFailed;
long BSNumberKeysSuc ;
long BSNumberKeysFailed ;
long HSAverageAccessTime;
long HSAverageCompSuc ;
long HSAverageCompFailed;
long HSNumberKeysSuc ;
long HSNumberKeysFailed ;
public ArrayOperations()
{
// File Parameters
DataFilePath = null;
DataFileName = null;
KeysFilePath = null;
KeysFileName = null;
NumberOfDataItems=0;
NumberOfKeys =0;
N =0;
BucketHashArraySize = 0;
NoBuckets =0;
// Statistics
SSAverageAccessTime = 0;
SSAverageCompSuc = 0;
SSAverageCompFailed = 0;
SSNumberKeysSuc = 0;
SSNumberKeysFailed = 0;
}
public void ReadDataFile() throws IOException
{
JFileChooser chooser = new JFileChooser();
chooser.setDialogType(JFileChooser.OPEN_DIALOG );
chooser.setDialogTitle("Open Data File");
int returnVal = chooser.showOpenDialog(null);
if( returnVal == JFileChooser.APPROVE_OPTION)
{
DataFilePath = chooser.getSelectedFile().getPath();
DataFileName = chooser.getSelectedFile().getName();
}
// read data file and copy it to original array
if (DataFilePath != null)
{
try
{
int index = 0;
Scanner integerTextFile = new Scanner(new File(DataFilePath));
while (integerTextFile.hasNext())
{
// read the next integer
OriginalArray[index] = integerTextFile.nextInt();
index++;
}
// end of file detected
integerTextFile.close();
NumberOfDataItems = index;
}
catch (IOException ioe)
{
System.exit(0);
}
}
else
NumberOfDataItems = 0;
}
public void ReadKeysFile() throws IOException
{
JFileChooser chooser = new JFileChooser();
chooser.setDialogType(JFileChooser.OPEN_DIALOG );
chooser.setDialogTitle("Open Keys File");
int returnVal = chooser.showOpenDialog(null);
if( returnVal == JFileChooser.APPROVE_OPTION)
{
KeysFilePath = chooser.getSelectedFile().getPath();
KeysFileName = chooser.getSelectedFile().getName();
}
// read data file and copy it to original array
if (KeysFilePath != null)
{
try
{
int index = 0;
Scanner integerTextFile = new Scanner(new File(KeysFilePath));
while (integerTextFile.hasNext())
{
// read the next integer
KeysArray[index]= integerTextFile.nextInt();
index++;
}
// end of file detected
integerTextFile.close();
NumberOfKeys = index;
}
catch (IOException ioe)
{
System.exit(0);
}
}
else
NumberOfKeys = 0;
}
public void SequentialSearch()
{
SSAverageAccessTime = 0;
SSAverageCompSuc = 0;
SSAverageCompFailed = 0;
SSNumberKeysSuc = 0;
SSNumberKeysFailed = 0;
int SearchKey;
int TotalNumberOfComparisons;
long startTime = System.nanoTime();
boolean found = false;
for (int k=0; k<NumberOfKeys; k++)
{
found = false;
SearchKey = KeysArray[k];
TotalNumberOfComparisons = 0;
for (int d=0; d<NumberOfDataItems; d++)
{
TotalNumberOfComparisons++;
if (SearchKey == OriginalArray[d])
{
found = true;
}
if (found)break;
}
if(found)
{
SSAverageCompSuc = SSAverageCompSuc + TotalNumberOfComparisons;
SSNumberKeysSuc ++;
}
else
{
SSAverageCompFailed = SSAverageCompFailed + TotalNumberOfComparisons;
SSNumberKeysFailed ++;
}
}
long estimatedTime = System.nanoTime() - startTime;
if (NumberOfKeys != 0)
SSAverageAccessTime = Math.round((estimatedTime/NumberOfKeys));
else
SSAverageAccessTime = 0;
if(SSNumberKeysSuc != 0)
SSAverageCompSuc = Math.round (SSAverageCompSuc / SSNumberKeysSuc) ;
else
SSAverageCompSuc = 0;
if (SSNumberKeysFailed != 0)
SSAverageCompFailed = Math.round (SSAverageCompFailed / SSNumberKeysFailed) ;
else
SSNumberKeysFailed = 0;
return;
}
public void BinarySearch()
{
// makes a temporary array the length of the number of data items we gave it int[] tempArray = new int[NumberOfDataItems];
// copies a portion of the original array (origionalArray = new int[1000000] above) that has the data inputs
// we are copying only the portion of the original array the was given the data inputs when we opened the data item .txt
for (int i = 0; i < NumberOfDataItems; i ++)
{
tempArray[i]=OriginalArray[i];
}
// takes the temporary array and sorts it
java.util.Arrays.sort(tempArray);
BSAverageAccessTime = 0;
BSAverageCompSuc = 0;
BSAverageCompFailed = 0;
BSNumberKeysSuc = 0;
BSNumberKeysFailed = 0;
int SearchKey;
int TotalNumberOfComparisons;
long startTime = System.nanoTime();
boolean found = false;
int low = 0;
int high = tempArray.length-1;
// sets the midpoint
int middle = (low-high)/2;
for(int k = 0; k<NumberOfKeys; k++)
{
SearchKey = KeysArray[k];
TotalNumberOfComparisons = 0;
for (int d=0; d< Math.log(tempArray.length -1); d++)
{
TotalNumberOfComparisons++;
// makes sure low doesn't go out of bounds
if (low < 0)
{
low = 0;
}
// make sure high doesn't go out of bounds
if(high >= tempArray.length)
{
high = tempArray.length-1;
}
// checks the midpoint against the key we are using
if (SearchKey == tempArray[middle])
{
found = true;
}
// makes sure that if the midpoint doesn't equal the key we get false
else
if (low == high && SearchKey != tempArray[middle])
{
found = false;
}
// if the key is greater than the middle we check the upper portion
else
if (SearchKey > tempArray[middle])
{
low = (middle +1);
}
// if the key is less than the middle we check the lower portion
else
if (SearchKey < tempArray[middle])
high = (middle -1);
if (found)break;
}
if(found)
{
BSAverageCompSuc = BSAverageCompSuc + TotalNumberOfComparisons;
BSNumberKeysSuc ++;
}
else
{
BSAverageCompFailed = BSAverageCompFailed + TotalNumberOfComparisons;
BSNumberKeysFailed ++;
}
}
long estimatedTime = System.nanoTime() - startTime;
if (NumberOfKeys != 0)
BSAverageAccessTime = Math.round((estimatedTime/NumberOfKeys));
else
BSAverageAccessTime = 0;
if(BSNumberKeysSuc != 0)
BSAverageCompSuc = Math.round (BSAverageCompSuc / BSNumberKeysSuc) ;
else
BSAverageCompSuc = 0;
if (BSNumberKeysFailed != 0)
BSAverageCompFailed = Math.round (BSAverageCompFailed / BSNumberKeysFailed) ;
else
BSNumberKeysFailed = 0;
return;
}
public void HashedSearch()
{
HSAverageAccessTime = 0;
HSAverageCompSuc = 0;
HSAverageCompFailed = 0;
HSNumberKeysSuc = 0;
HSNumberKeysFailed = 0;
int SearchKey;
int TotalNumberOfComparisons;
long startTime = System.nanoTime();
boolean found = false;
}
public int FindPrime()
{
return 0;
}
public void Initialize()
{
}
public void BHSearch()
{
}
}
这是Java GUI代码:
// GUI-related imports
import java.awt.*;
import java.awt.event.*;
// File-related imports
import java.io.IOException;
public class Project04 extends Frame implements ActionListener
{
ArrayOperations arr = new ArrayOperations();
String command = "";
public static void main(String[] args)
{
Frame frame = new Project04();
frame.setResizable(false);
frame.setSize(900,620);
frame.setVisible(true);
}
public Project04()
{
setTitle("Search Routines");
// Create Menu Bar and menu items
MenuBar mb = new MenuBar();
setMenuBar(mb);
// Create Menu Group Labeled "File"
Menu FileMenu = new Menu("File");
// Add it to Menu Bar
mb.add(FileMenu);
// Create Menu Items
// Add action Listener
// Add to "File" Menu Group
MenuItem miOpen = new MenuItem("Open");
miOpen.addActionListener(this);
FileMenu.add(miOpen);
MenuItem miExit = new MenuItem("Exit");
miExit.addActionListener(this);
FileMenu.add(miExit);
// Create Menu Group Labeled "File"
Menu SearchMenu = new Menu("Search");
// Add it to Menu Bar
mb.add(SearchMenu);
// Create Menu Items
// Add action Listener
// Add to "Search" Menu Group
MenuItem miSequentialSearch = new MenuItem("Sequential Search");
miSequentialSearch.addActionListener(this);
SearchMenu.add(miSequentialSearch);
MenuItem miBinarySearch = new MenuItem("Binary Search");
miBinarySearch.addActionListener(this);
SearchMenu.add(miBinarySearch);
MenuItem miHashedSearch = new MenuItem("Hashed Search");
miHashedSearch.addActionListener(this);
SearchMenu.add(miHashedSearch);
WindowListener l = new WindowAdapter()
{
public void windowClosing(WindowEvent ev)
{
System.exit(0);
}
public void windowActivated(WindowEvent ev)
{
repaint();
}
public void windowStateChanged(WindowEvent ev)
{
repaint();
}
};
ComponentListener k = new ComponentAdapter()
{
public void componentResized(ComponentEvent e)
{
repaint();
}
};
// register listeners
this.addWindowListener(l);
this.addComponentListener(k);
}
//******************************************************************************
// called by windows manager whenever the application window performs an action
// (select a menu item, close, resize, ....
//******************************************************************************
public void actionPerformed (ActionEvent ev)
{
// figure out which command was issued
command = ev.getActionCommand();
// take action accordingly
if("Open".equals(command))
{
try
{
arr.ReadDataFile();
arr.ReadKeysFile();
}
catch (IOException ioe)
{
System.exit(0);
}
repaint();
}
else
if("Exit".equals(command))
{
System.exit(0);
}
else
if("Sequential Search".equals(command))
{
arr.SequentialSearch();
repaint();
}
if("Binary Search".equals(command))
{
arr.BinarySearch();
repaint();
}
if("Hashed Search".equals(command))
{
arr.HashedSearch();
repaint();
}
if("Bucket Hashed Search".equals(command))
{
arr.BHSearch();
repaint();
}
}
//********************************************************
// called by repaint() to redraw the screen
//********************************************************
public void paint(Graphics g)
{
if("Open".equals(command))
{
// Acknowledge that file was opened
if (arr.DataFileName != null)
{
g.drawString("File -- "+arr.DataFileName+" -- was successfully opened", 300, 200);
g.drawString("Number of Data Items = "+Integer.toString(arr.NumberOfDataItems), 330, 250);
}
else
{
g.drawString("NO Data File is Open", 300, 200);
}
if (arr.KeysFileName != null)
{
g.drawString("File -- "+arr.KeysFileName+" -- was successfully opened", 300, 300);
g.drawString("Number of Keys = "+Integer.toString(arr.NumberOfKeys), 330, 350);
}
else
{
g.drawString("NO Keys File is Open", 300, 300);
}
return;
}
if("Sequential Search".equals(command) || "Binary Search".equals(command)||
"Hashed Search".equals(command) || "Bucket Hashed Search".equals(command) )
{
g.drawRect(100, 100, 700, 420);
g.drawString("Experiment", 135, 200);
g.drawLine(250,100,250,520);
g.drawString("Data File Attributes -- "+Integer.toString(arr.NumberOfDataItems)+" Data Items", 450, 130);
g.drawString("Key File Attributes -- "+Integer.toString(arr.NumberOfKeys)+" Keys", 450, 155);
g.drawLine(250,175,800,175);
g.drawString("Measured Criteria", 475,190 );
g.drawLine(250,215,800,215);
g.drawString("Successful Search", 410, 230);
g.drawString("Unccessful Search", 640, 230);
g.drawLine(360,245,800,245);
g.drawLine(100,310,800,310);
g.drawString("Sequential Search", 110, 325);
g.drawLine(100,340,800,340);
g.drawString("Average", 285, 260);
g.drawString("Access", 285, 275);
g.drawString("Time", 290, 290);
g.drawLine(360,215,360,520);
g.drawString("#", 400, 260);
g.drawString("Keys", 400, 275);
g.drawString("Found", 390, 290);
g.drawLine(470,245,470,520);
g.drawString("Average", 500, 260);
g.drawString("No. Of", 500, 275);
g.drawString("Comparisons", 485, 290);
g.drawLine(580,215,580,520);
g.drawString("# ", 620, 260);
g.drawString("Keys", 620, 275);
g.drawString("Not Found", 600, 290);
g.drawLine(690,245,690,520);
g.drawString("Average", 720, 260);
g.drawString("No. Of", 720, 275);
g.drawString("Comparisons", 700, 290);
g.drawString(Long.toString(arr.SSAverageAccessTime), 255, 325);
g.drawString(Long.toString(arr.SSNumberKeysSuc), 365, 325);
g.drawString(Long.toString(arr.SSAverageCompSuc), 475, 325);
g.drawString(Long.toString(arr.SSNumberKeysFailed), 585, 325);
g.drawString(Long.toString(arr.SSAverageCompFailed), 695, 325);
g.drawString("Binary Search", 110, 355);
g.drawLine(100,370,800,370);
g.drawString(Long.toString(arr.BSAverageAccessTime), 255, 355);
g.drawString(Long.toString(arr.BSNumberKeysSuc), 365, 355);
g.drawString(Long.toString(arr.BSAverageCompSuc), 475, 355);
g.drawString(Long.toString(arr.BSNumberKeysFailed), 585, 355);
g.drawString(Long.toString(arr.BSAverageCompFailed), 695, 355);
g.drawString("Hashed Search", 110, 385);
g.drawLine(100,400,800,400);
g.drawString(Long.toString(arr.HSAverageAccessTime), 255, 385);
g.drawString(Long.toString(arr.HSNumberKeysSuc), 365, 385);
g.drawString(Long.toString(arr.HSAverageCompSuc), 475, 385);
g.drawString(Long.toString(arr.HSNumberKeysFailed), 585, 385);
g.drawString(Long.toString(arr.HSAverageCompFailed), 695, 385);
// add code to display results for other searches
}
}
}
答案 0 :(得分:4)
你的计算错误
更改如下:
int middle = (low-high)/2;
为:
int middle = (high-low)/2;
low总是小于高,所以你得到一个负数,而你的数组中不存在负指数。
虽然我没有检查任何其他可能的问题或算法的有效性,但以上是您遇到的问题的解决方案