private int state; private String message; public int getState() { return state; } public void setState(int state) { this.state = state; } public String getMessage() { return message; } public void setMessage(String message) { this.message = message; } }困难点
时间: 2024-02-14 07:20:00 浏览: 30
这段代码是一个简单的Java类,包含了三个成员变量:state、message和对应的getter和setter方法。其中state是一个整型变量,message是一个字符串变量。
该类的主要作用是保存一个状态和消息。state表示一个状态,可以是任意整数,message是一个字符串消息,可以是任意字符串。getState和setMessage方法用于获取和设置state的值,getMessage和setMessage方法用于获取和设置message的值。
该类的困难点可能在于理解面向对象编程的概念和Java的基本语法。例如,类的成员变量需要使用private修饰符限定访问权限,同时提供public的getter和setter方法用于访问和修改成员变量的值。此外,需要理解类的封装性和成员变量的作用域。
相关问题
public class User { private Integer userId; private Byte userType; private String username; private String password; private String displayName; private Byte state; private Date createTime; private Date updateTime; public String getDisplayName() { return displayName; } public void setDisplayName(String displayName) { this.displayName = displayName; } public Integer getUserId() { return userId; } public void setUserId(Integer userId) { this.userId = userId; } public Byte getUserType() { return userType; } public void setUserType(Byte userType) { this.userType = userType; } public String getUsername() { return username; } public void setUsername(String username) { this.username = username; } public String getPassword() { return password; } public void setPassword(String password) { this.password = password; } public Byte getState() { return state; } public void setState(Byte state) { this.state = state; } public Date getCreateTime() { return createTime; } public void setCreateTime(Date createTime) { this.createTime = createTime; } public Date getUpdateTime() { return updateTime; } public void setUpdateTime(Date updateTime) { this.updateTime = updateTime; } }
这是一个 Java 类,名为 User,它包含了用户的基本信息,如用户ID、用户类型、用户名、密码、显示名称、状态、创建时间和更新时间等字段。它还提供了对这些字段的 getter 和 setter 方法,用于对这些字段进行读取和设置。这样,在编写业务逻辑时,就可以通过 User 类对象来方便地获取和设置用户信息。
优化以下代码: // 初始化结果 long coherenceTotal = 0; long effectiveTotal = 0; long completeTotal = 0; long coherenceSuccess = 0; long effectiveSuccess = 0; long completeSuccess = 0; long lastCoherenceTotal = 0; long lastEffectiveTotal = 0; long lastCompleteTotal = 0; long lastCoherenceSuccess = 0; long lastEffectiveSuccess = 0; long lastCompleteSuccess = 0; // 平均结果 for (DqExecuteResult dqExecuteResult : dqExecuteResults) { String ruleName = dqExecuteResult.getRuleName(); int state = dqExecuteResult.getState(); int total = dqExecuteResult.getTotal(); double statisticsValue = dqExecuteResult.getStatisticsValue(); switch (ruleName) { case "(multi_table_accuracy)": coherenceTotal += total; coherenceSuccess += (state == DqTaskState.FAILURE.getCode()) ? (total - Math.round(statisticsValue)) : total; break; case "(null_check)": completeTotal += total; completeSuccess += (state == DqTaskState.FAILURE.getCode()) ? (total - Math.round(statisticsValue)) : total; break; default: effectiveTotal += total; effectiveSuccess += (state == DqTaskState.FAILURE.getCode()) ? (total - Math.round(statisticsValue)) : total; } } // 最新一次结果 for (DqExecuteResult dqExecuteResult : lastDqExecuteResults) { String ruleName = dqExecuteResult.getRuleName(); int state = dqExecuteResult.getState(); int total = dqExecuteResult.getTotal(); double statisticsValue = dqExecuteResult.getStatisticsValue(); switch (ruleName) { case "(multi_table_accuracy)": lastCoherenceTotal += total; lastCoherenceSuccess += (state == DqTaskState.FAILURE.getCode()) ? (total - Math.round(statisticsValue)) : total; break; case "(null_check)": lastCompleteTotal += total; lastCompleteSuccess += (state == DqTaskState.FAILURE.getCode()) ? (total - Math.round(statisticsValue)) : total; break; default: lastEffectiveTotal += total; lastEffectiveSuccess += (state == DqTaskState.FAILURE.getCode()) ? (total - Math.round(statisticsValue)) : total; } }
可以对代码进行以下优化:
1. 使用数组或者集合来存储结果,而不是一一定义变量,这样可以减少代码量,并且更易于扩展和维护。
2. 在计算成功数的时候,可以使用三目运算符来判断是否需要减去统计值,这样可以减少重复代码。
3. 可以将相同的代码块提取出来,减少重复代码。
优化后的代码如下:
```
// 初始化结果
long[] total = new long[3];
long[] success = new long[3];
long[] lastTotal = new long[3];
long[] lastSuccess = new long[3];
// 平均结果
for (DqExecuteResult dqExecuteResult : dqExecuteResults) {
String ruleName = dqExecuteResult.getRuleName();
int state = dqExecuteResult.getState();
int index = getIndex(ruleName);
total[index] += dqExecuteResult.getTotal();
success[index] += (state == DqTaskState.FAILURE.getCode()) ? (dqExecuteResult.getTotal() - Math.round(dqExecuteResult.getStatisticsValue())) : dqExecuteResult.getTotal();
}
// 最新一次结果
for (DqExecuteResult dqExecuteResult : lastDqExecuteResults) {
String ruleName = dqExecuteResult.getRuleName();
int state = dqExecuteResult.getState();
int index = getIndex(ruleName);
lastTotal[index] += dqExecuteResult.getTotal();
lastSuccess[index] += (state == DqTaskState.FAILURE.getCode()) ? (dqExecuteResult.getTotal() - Math.round(dqExecuteResult.getStatisticsValue())) : dqExecuteResult.getTotal();
}
// 根据规则名获取下标
private int getIndex(String ruleName) {
switch (ruleName) {
case "(multi_table_accuracy)":
return 0;
case "(null_check)":
return 1;
default:
return 2;
}
}
```
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