编写类a.A,添加方法static int f(String s),返回字符串s中的单词个数。
时间: 2024-12-14 07:21:15 浏览: 5
好的,你可以编写一个名为`A`的静态内部类,并定义一个静态方法`f`,这个方法接收一个字符串`s`作为参数,用于计算其中的单词个数。以下是Java中的实现示例:
```java
public class Main {
// 使用static修饰,表示这是一个类级别的方法
static class A {
// 静态方法f,统计字符串中的单词个数
public static int f(String s) {
String[] words = s.split("\\s+"); // 使用正则表达式split,\\s+匹配一个或多个空格
return words.length; // 返回拆分后的单词数组长度,即单词个数
}
}
public static void main(String[] args) {
String input = "Hello world, this is a test.";
System.out.println(A.f(input)); // 输出:5
}
}
```
在这个例子中,当你调用`A.f(s)`,不论在哪里调用,都会使用`A`类内的静态方法`f`来计算输入字符串中的单词数。
相关问题
用JDEA编写下列题目:下面是计算英文句子中单词个数的方法头(假设字符串中的单词分割符连续出现次数小于或等于1,无中文出现)。请实现这个方法,方法头定义如下: public static int sumWord(String s) 提示:单词分隔符是指任何标点符号和空白字符,如s=”The world belongs to you and us,but ultimately it belongs to you.”返回13
以下是用JDEA编写的代码:
```
public class WordCounter {
public static int sumWord(String s) {
int count = 0;
boolean inWord = false;
for (int i = 0; i < s.length(); i++) {
char c = s.charAt(i);
if (Character.isLetter(c)) {
if (!inWord) {
inWord = true;
count++;
}
} else {
inWord = false;
}
}
return count;
}
}
```
代码解释:
我们首先定义了一个名为 `WordCounter` 的类。在这个类中,我们定义了一个名为 `sumWord` 的静态方法,它接收一个字符串参数 `s` 并返回一个整数。这个方法的作用是计算字符串中单词的数量。
我们使用一个变量 `count` 来记录单词的数量。我们还定义了一个布尔型变量 `inWord`,它用于指示当前是否在单词中。
我们使用一个 for 循环遍历字符串中的每个字符。对于每个字符,我们检查它是否是字母。如果是字母且当前不在单词中,我们将 `inWord` 设置为 `true` 并将 `count` 加 1,表示我们已经找到了一个新单词。如果当前不是字母,我们将 `inWord` 设置为 `false`,表示当前不在单词中。
最后,我们返回单词的数量 `count`。
请设计一个类型,提供如下方法 提示 要统计每个单词出现的次数,由于一个方法不能返回2种类型,我们需要把单词和它的出现次数封装到一个类中 去,所以,可以定义一个类型如下: 由于我们统计的有多个单词,所以,我们上面的 countSize 方法的返回类型就可以设计成 WordBean[],如下: public class PatternDemo { //此方法用来统计 content 中的英文单词个数, 请使用正则表达式来做,单词的正则表达式请自行编写, public int countWords(CharSequence content) { ... } //此方法返回一串固定的字符串,已写好,可以直接用。 public StringBuilder getContent() { //此方法的内容如下: StringBuilder builder = new StringBuilder(); builder.append("Hooray! It's snowing! It's time to make a snowman.James runs out. He makes a big pile of snow. He puts a big snowball on top. He adds a scarf and a hat. He adds an orange for the nose. He adds coal for the eyes and buttons.In the evening, James opens the door. What does he see? The snowman is moving! James invites him in. The snowman has never been inside a house. He says hello to the cat. He plays with paper towels.A moment later, the snowman takes James's hand and goes out.They go up, up, up into the air! They are flying! What a wonderful night!The next morning, James jumps out of bed. He runs to the door.He wants to thank the snowman. But he's gone."); // return builder; } //此方法统计出每个单词[不考虑大小写]出现的次数,数据结构请自行定义,设计如下: public ? countSize(CharSequence content) { //TODO ... } //注:int[]结构来存放结果 } public class WordBean { //属性 private String word; //单词 private int count; //出次 //TODO 请自行完成构造、getter/setter、toString、等相关方法 } public WordBean[] countSize(CharSequence content) { //TODO ... } 最后写一个调用者类,来测试你的实现,如下: public class UsePatternDemo() { public static void main(String[] args) { //TODO ... }
下面是一个实现了 countSize 方法和 WordBean 类的示例代码:
```java
import java.util.HashMap;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class PatternDemo {
public int countWords(CharSequence content) {
// 定义单词的正则表达式
String patternStr = "\\b\\w+\\b";
Pattern pattern = Pattern.compile(patternStr);
Matcher matcher = pattern.matcher(content);
int count = 0;
while (matcher.find()) {
count++;
}
return count;
}
public WordBean[] countSize(CharSequence content) {
// 定义单词的正则表达式
String patternStr = "\\b\\w+\\b";
Pattern pattern = Pattern.compile(patternStr);
Matcher matcher = pattern.matcher(content);
// 使用 Map 来统计每个单词的出现次数
Map<String, Integer> wordCountMap = new HashMap<>();
while (matcher.find()) {
String word = matcher.group().toLowerCase();
if (wordCountMap.containsKey(word)) {
wordCountMap.put(word, wordCountMap.get(word) + 1);
} else {
wordCountMap.put(word, 1);
}
}
// 将统计结果封装到 WordBean 数组中
WordBean[] result = new WordBean[wordCountMap.size()];
int i = 0;
for (Map.Entry<String, Integer> entry : wordCountMap.entrySet()) {
result[i++] = new WordBean(entry.getKey(), entry.getValue());
}
return result;
}
public StringBuilder getContent() {
StringBuilder builder = new StringBuilder();
builder.append("Hooray! It's snowing! It's time to make a snowman.James runs out. He makes a big pile of snow. He puts a big snowball on top. He adds a scarf and a hat. He adds an orange for the nose. He adds coal for the eyes and buttons.In the evening, James opens the door. What does he see? The snowman is moving! James invites him in. The snowman has never been inside a house. He says hello to the cat. He plays with paper towels.A moment later, the snowman takes James's hand and goes out.They go up, up, up into the air! They are flying! What a wonderful night!The next morning, James jumps out of bed. He runs to the door.He wants to thank the snowman. But he's gone.");
return builder;
}
}
public class WordBean {
private String word;
private int count;
public WordBean(String word, int count) {
this.word = word;
this.count = count;
}
public String getWord() {
return word;
}
public void setWord(String word) {
this.word = word;
}
public int getCount() {
return count;
}
public void setCount(int count) {
this.count = count;
}
@Override
public String toString() {
return "WordBean{" +
"word='" + word + '\'' +
", count=" + count +
'}';
}
}
public class UsePatternDemo {
public static void main(String[] args) {
PatternDemo patternDemo = new PatternDemo();
StringBuilder content = patternDemo.getContent();
WordBean[] result = patternDemo.countSize(content);
for (WordBean wordBean : result) {
System.out.println(wordBean);
}
}
}
```
在这个示例代码中,我们封装了一个 WordBean 类,用来表示单词和它的出现次数。在 countSize 方法中,我们使用正则表达式来匹配文本中的单词,并使用 HashMap 来统计每个单词的出现次数。最后,我们将统计结果封装到 WordBean 数组中返回。在调用者类 UsePatternDemo 中,我们可以测试我们的实现是否正确。
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