我遇到了不忽略大小寫的代碼問題。這就是我需要做的按計數和不區分大小寫排序

問題

processInput()應該打開並解析輸入文件。它應該拋出任何可能的例外並允許使用類來處理它們。

generateStatsFile()應產生下面描述的XML文件。它也應該拋出任何可能的異常，並允許使用類來處理它們。您可以使用PrintWriter來創建您的XML文件，但您應該研究更好的選項。查看本實驗所附的代碼示例。

TEXT文件分析器

import java.io.File; 
import java.io.FileNotFoundException; 
import java.util.ArrayList; 
import java.util.HashMap; 
import java.util.Map; 
import java.util.Scanner; 
import java.util.TreeMap; 

public class TextFileAnalyzer { 

private File inputFile; 
private File statsXMLFile; 
private ArrayList<Word> words; 

public static void main(String[] args) { 

    HashMap<String, Integer> map = new HashMap<String, Integer>(); 

    TextFileAnalyzer oneTime = new TextFileAnalyzer(); 
    oneTime.processInput(map); 
} 

public void processInput(HashMap<String, Integer> map) { 

    System.out.print("Enter file name: "); 
    Scanner keyboard = new Scanner(System.in); 
    String fileName = keyboard.next(); 

    try { 
     keyboard = new Scanner(new File(fileName)).useDelimiter("[^a-zA-Z]+"); 

    } 

    catch (FileNotFoundException fnf) { 

     System.out.println("The file: '" + fileName + "' does not exist!"); 
     System.exit(0); 
    } 

    // has it print line by line 
    while (keyboard.hasNext()) {`enter code here` 

     String word = keyboard.next(); 
     if (map.containsKey(word)) { 
      map.put(word, map.get(word) + 1); 
     } else { 
      map.put(word, 1); 
     } 
    } 

    for (Map.Entry<String, Integer> entry : map.entrySet()) { 

     System.out.println(entry); 
    } 

    keyboard.close(); 

} 

public void generateStatsFile(HashMap<String, Integer> map) { 
     //SOMECODE TO EXPORT TO XML 
} 

}

==============

WORD

import java.io.*; 
public class Word implements Comparable { 

private String word; 
private int usageCnt; 

public Word() { 
    this("??", 0); 
} 

public Word(String word, int usageCnt) { 

} 

public void reset(String word, int usageCnt) { 
    this.setWord(word); 
    this.usageCnt = usageCnt; 
} 

// ACCESSORS 
public String getWord() { 
    return word; 
} 

public void setWord(String word) { 
    this.word = word; 
} 

public int getUsageCnt() { 
    return usageCnt; 
} 

public void setUsageCnt(int usageCnt) { 
    this.usageCnt = usageCnt; 
} 

// COMPARABLE 
@Override 
public int compareTo(Object o) { 
    return usageCnt; 

}

}

原文＃

Green Eggs and Ham 
By Dr. Seuss 

I am Sam 

Sam I am 

That Sam-I-am! 
That Sam-I-am! 
I do not like 
that Sam-I-am! 

Do you like green eggs and ham? 

I do not like them, Sam-I-am. 
I do not like green eggs and ham. 

Would you like them here or there? 

I would not like them here or there. 
I would not like them anywhere. 
I do not like green eggs and ham. 
I do not like them, Sam-I-am. 

Would you like them in a house? 
Would you like them with a mouse? 

I do not like them in a house. 
I do not like them with a mouse. 
I do not like them here or there. 
I do not like them anywhere. 
I do not like green eggs and ham. 
I do not like them, Sam-I-am. 

Would you eat them in a box? 
Would you eat them with a fox? 

Not in a box. 
Not with a fox. 
Not in a house. 
Not with a mouse. 
I would not eat them here or there. 
I would not eat them anywhere. 
I would not eat green eggs and ham. 
I do not like them, Sam-I-am. 

Would you? Could you? 
In a car? 
Eat them! Eat them! 
Here they are. 

I would not, could not, in a car. 

You may like them. 
You will see. 
You may like them in a tree! 

I would not, could not in a tree. 
Not in a car! You let me be. 
I do not like them in a box. 
I do not like them with a fox. 
I do not like them in a house. 
I do not like them with a mouse. 
I do not like them here or there. 
I do not like them anywhere. 
I do not like green eggs and ham. 
I do not like them, Sam-I-am. 

A train! A train! 
A train! A train! 
Could you, would you, on a train? 

Not on a train! Not in a tree! 
Not in a car! Sam! Let me be! 
I would not, could not, in a box. 
I could not, would not, with a fox. 
I will not eat them with a mouse. 
I will not eat them in a house. 
I will not eat them here or there. 
I will not eat them anywhere. 
I do not eat green eggs and ham. 
I do not like them, Sam-I-am. 

Say! 
In the dark? Here in the dark! 
Would you, could you, in the dark? 

I would not, could not, in the dark. 

Would you, could you, in the rain? 

I would not, could not, in the rain. 
Not in the dark. Not on a train. 
Not in a car. Not in a tree. 
I do not like them, Sam, you see. 
Not in a house. Not in a box. 
Not with a mouse. Not with a fox. 
I will not eat them here or there. 
I do not like them anywhere! 

You do not like green eggs and ham? 

I do not like them, Sam-I-am. 

Could you, would you, with a goat? 

I would not, could not, with a goat! 

Would you, could you, on a boat? 

I could not, would not, on a boat. 
I will not, will not, with a goat. 
I will not eat them in the rain. 
I will not eat them on a train. 
Not in the dark! Not in a tree! 
Not in a car! You let me be! 
I do not like them in a box. 
I do not like them with a fox. 
I will not eat them in a house. 
I do not like them with a mouse. 
I do not like them here or there. 
I do not like them ANYWHERE! 
I do not like green eggs and ham! 
I do not like them, Sam-I-am. 

You do not like them. 
So you say. 
Try them! Try them! 
And you may. 
Try them and you may, I say. 

Sam! 
If you will let me be, I will try them. 
You will see. 

<at which point in our story, the heretofore tormented hero cautiously 
takes a bite of the "green eggs and ham"> 

Say! 
I like green eggs and ham! 
I do! I like them, Sam-I-am! 
And I would eat them in a boat. 
And I would eat them with a goat... 
And I will eat them in the rain. 
And in the dark. And on a train. 
And in a car. And in a tree. 
They are so good, so good, you see! 
So I will eat them in a box. 
And I will eat them with a fox. 
And I will eat them in a house. 
And I will eat them with a mouse. 
And I will eat them here and there. 
Say! I will eat them ANYWHERE! 

I do so like 
green eggs and ham! 
Thank you! 
Thank you, 
Sam-I-am!

正確的輸出

<?xml version="1.0" encoding="UTF-8" standalone="no"?> 
<TEXT_ANALYZER> 
    <WORD> 
    <WORD_TEXT>not</WORD_TEXT> 
    <USAGE_CNT>84</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>i</WORD_TEXT> 
    <USAGE_CNT>71</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>them</WORD_TEXT> 
    <USAGE_CNT>61</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>a</WORD_TEXT> 
    <USAGE_CNT>60</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>like</WORD_TEXT> 
    <USAGE_CNT>44</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>in</WORD_TEXT> 
    <USAGE_CNT>41</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>do</WORD_TEXT> 
    <USAGE_CNT>37</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>you</WORD_TEXT> 
    <USAGE_CNT>34</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>and</WORD_TEXT> 
    <USAGE_CNT>27</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>would</WORD_TEXT> 
    <USAGE_CNT>26</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>eat</WORD_TEXT> 
    <USAGE_CNT>25</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>will</WORD_TEXT> 
    <USAGE_CNT>21</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>with</WORD_TEXT> 
    <USAGE_CNT>19</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>could</WORD_TEXT> 
    <USAGE_CNT>14</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>the</WORD_TEXT> 
    <USAGE_CNT>13</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>sam-i-am</WORD_TEXT> 
    <USAGE_CNT>13</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>ham</WORD_TEXT> 
    <USAGE_CNT>13</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>eggs</WORD_TEXT> 
    <USAGE_CNT>13</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>green</WORD_TEXT> 
    <USAGE_CNT>12</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>here</WORD_TEXT> 
    <USAGE_CNT>11</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>train</WORD_TEXT> 
    <USAGE_CNT>9</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>there</WORD_TEXT> 
    <USAGE_CNT>9</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>or</WORD_TEXT> 
    <USAGE_CNT>8</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>mouse</WORD_TEXT> 
    <USAGE_CNT>8</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>house</WORD_TEXT> 
    <USAGE_CNT>8</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>anywhere</WORD_TEXT> 
    <USAGE_CNT>8</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>on</WORD_TEXT> 
    <USAGE_CNT>7</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>fox</WORD_TEXT> 
    <USAGE_CNT>7</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>dark</WORD_TEXT> 
    <USAGE_CNT>7</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>car</WORD_TEXT> 
    <USAGE_CNT>7</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>box</WORD_TEXT> 
    <USAGE_CNT>7</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>tree</WORD_TEXT> 
    <USAGE_CNT>6</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>so</WORD_TEXT> 
    <USAGE_CNT>5</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>say</WORD_TEXT> 
    <USAGE_CNT>5</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>sam</WORD_TEXT> 
    <USAGE_CNT>5</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>try</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>see</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>rain</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>me</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>may</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>let</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>goat</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>be</WORD_TEXT> 
    <USAGE_CNT>4</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>that</WORD_TEXT> 
    <USAGE_CNT>3</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>boat</WORD_TEXT> 
    <USAGE_CNT>3</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>they</WORD_TEXT> 
    <USAGE_CNT>2</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>thank</WORD_TEXT> 
    <USAGE_CNT>2</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>good</WORD_TEXT> 
    <USAGE_CNT>2</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>are</WORD_TEXT> 
    <USAGE_CNT>2</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>am</WORD_TEXT> 
    <USAGE_CNT>2</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>which</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>tormented</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>takes</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>story</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>seuss</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>point</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>our</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>of</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>if</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>hero</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>heretofore</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>dr</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>cautiously</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>by</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>bite</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>&lt;at</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
    <WORD> 
    <WORD_TEXT>"green</WORD_TEXT> 
    <USAGE_CNT>1</USAGE_CNT> 
    </WORD> 
</TEXT_ANALYZER>

什麼正在顯示

Enter file name: green_eggs_and_ham.txt 
heretofore=1 
do=36 
anywhere=6 
good=2 
Eggs=1 
that=1 
mouse=8 
would=17 
ham=12 
me=4 
let=3 
Try=3 
Thank=2 
you=26 
they=1 
train=9 
cautiously=1 
which=1 
eggs=12 
rain=4 
Seuss=1 
like=44 
in=39 
tree=6 
them=61 
Do=1 
goat=4 
am=15 
Dr=1 
Not=19 
Here=2 
at=1 
And=12 
Eat=2 
try=1 
If=1 
Sam=18 
here=9 
A=4 
be=4 
Could=3 
In=2 
I=84 
box=7 
Say=3 
hero=1 
Would=9 
house=8 
our=1 
fox=7 
point=1 
not=65 
see=4 
car=7 
are=2 
and=15 
bite=1 
of=1 
dark=7 
eat=23 
takes=1 
so=3 
on=7 
That=2 
a=56 
green=12 
or=8 
may=4 
will=21 
could=11 
ANYWHERE=2 
say=2 
boat=3 
They=1 
the=13 
with=19 
Ham=1 
By=1 
there=9 
Let=1 
tormented=1 
So=2 
Green=1 
You=8 
story=1

來源

2017-02-23 chad kuhns

嘗試使用較小的輸入和輸出製作一個較小的示例。用這麼多的文字來閱讀你的問題有點困難。它也會使調試更容易。最後，generateStatsFile（）與你的問題有關嗎？目前尚未實施。 – Cecilia

有趣。在正確的輸出中，單詞按降序排列，然後按*後退*字母順序排序。 –

您可以手動編碼您的XML輸出或使用一些庫來生成它。 –

我敢肯定，這是你在找什麼。當您從Scanner中取出時，您希望將每個單詞轉換爲小寫。你可以像這樣做：

String word = keyboard.next().toLowerCase(); 
    if (map.containsKey(word)) { 
     map.put(word, map.get(word) + 1); 
    } else { 
     map.put(word, 1); 
    }

如果你想有兩個區分大小寫和不區分大小寫的地圖，你可以用並聯的地圖做到這一點。

然後當它涉及到按出現次數排序，你可以做一些與由出現在地圖上相應的數字排序的鍵列表：

Map<String, Integer> map = new HashMap<String, Integer>(); 

    // Populate map and do stuff 

    List<String> sortedByOccurences = new ArrayList<String>(map.keySet()); 

    Collections.sort(sortedByOccurences, new Comparator<String>() { 

     @Override 
     public int compare(String o1, String o2) { 
      return map.get(o1) - map.get(o2); 
     } 

    });

希望這是緊挨什麼你正在尋找。

來源

2017-02-27 16:33:42 CarManuel

按計數和不區分大小寫排序

問題

TEXT文件分析器

WORD

原文＃

正確的輸出

什麼正在顯示

回答

相關問題