Handling Errors Using Exceptions

本文探讨了Java中错误处理的重要性,并介绍了如何通过合理使用检查性和非检查性异常来提高程序的可读性、可靠性和可维护性。文章还提供了一些关于如何设计API以更好地处理异常的建议。
Everyone tries to avoid them, but it's an unfortunate fact: [b]Errors occur in software programs. However, if you handle errors properly, you'll greatly improve programs' readability, reliability and maintainability. The Java programming language uses exceptions for error handling.[/b]
[b]What Is an Exception?[/b]
An exception is an event that occurs during the execution of a program that disrupts the normal flow of instructions.

[b]The Catch or Specify Requirement [/b]
There are two kinds of exceptions: checked exceptions and un-checked exceptions.
it is the bottom line guildline:If a client can reasonably be expected to recover from an exception, make it a checked exception. If a client cannot do anything to recover from the exception, make it an unchecked exception.

[b]Best Practices for Designing the API[/b]
1.When deciding on checked exceptions vs. unchecked exceptions, ask yourself, "What action can the client code take when the exception occurs?"
Moreover, prefer unchecked exceptions for all programming errors: unchecked exceptions have the benefit of not forcing the client API to explicitly deal with them. They propagate to where you want to catch them, or they go all the way out and get reported.

2.Preserve encapsulation.
Never let implementation-specific checked exceptions escalate to the higher layers. For example, do not propagate SQLException from data access code to the business objects layer. Business objects layer do not need to know about SQLException. You have two options:

>Convert SQLException into another checked exception, if the client code is expected to recuperate from the exception.
>Convert SQLException into an unchecked exception, if the client code cannot do anything about it.
a recommended way is:
public void dataAccessCode(){
try{
..some code that throws SQLException
}catch(SQLException ex){
throw new RuntimeException(ex);
}
not:
public void dataAccessCode(){
try{
..some code that throws SQLException
}catch(SQLException ex){
ex.printStacktrace();
}
}
for the last one, client can do nothing, so we can throw it to upper tier to let him/her know what had happened.

3. how to throw exceptions?
for those checked exceptions, such as Integer.parseInt("ABC"), I/O exception. we can catch it on the business level, deal it with a default manner or throw it to the upper tier(by convert it to a recognised exception) which have the ability to deal with it.
for those unchecked exceptions, throw it to upper tier to deal with.
内容概要:本文档介绍了基于3D FDTD(时域有限差分)方法在MATLAB平台上对微带线馈电的矩形天线进行仿真分析的技术方案,重点在于模拟超MATLAB基于3D FDTD的微带线馈矩形天线分析[用于模拟超宽带脉冲通过线馈矩形天线的传播,以计算微带结构的回波损耗参数]宽带脉冲信号通过天线结构的传播过程,并计算微带结构的回波损耗参数(S11),以评估天线的匹配性能和辐射特性。该方法通过建立三维电磁场模型,精确求解麦克斯韦方程组,适用于高频电磁仿真,能够有效分析天线在宽频带内的响应特性。文档还提及该资源属于一个涵盖多个科研方向的综合性MATLAB仿真资源包,涉及通信、信号处理、电力系统、机器学习等多个领域。; 适合人群:具备电磁场与微波技术基础知识,熟悉MATLAB编程及数值仿真的高校研究生、科研人员及通信工程领域技术人员。; 使用场景及目标:① 掌握3D FDTD方法在天线仿真中的具体实现流程;② 分析微带天线的回波损耗特性,优化天线设计参数以提升宽带匹配性能;③ 学习复杂电磁问题的数值建模与仿真技巧,拓展在射频与无线通信领域的研究能力。; 阅读建议:建议读者结合电磁理论基础,仔细理解FDTD算法的离散化过程和边界条件设置,运行并调试提供的MATLAB代码,通过调整天线几何尺寸和材料参数观察回波损耗曲线的变化,从而深入掌握仿真原理与工程应用方法。
Thanks to your work so far, the library now has a functioning system. However, librarians have reported that some records in the CSV files are corrupted with invalid values. This has caused misbehaviour in the system, sometimes even crashing during busy exam periods, creating unnecessary stress for students. In real-world software engineering, robustness and correctness are just as important as functionality. Programs must gracefully handle unexpected situations and invalid inputs without failing. Two key approaches developers use are: Assertions: Internal checks that validate assumptions made by the programmer (e.g., "This variable should never be negative"). Assertions are mainly used during development and debugging. Defensive programming: Validates inputs and usage patterns to prevent invalid or unexpected behaviour at runtime. This includes checking for correct types, value ranges, and providing helpful error messages when something goes wrong. Description In this task, you will extend your library system by adding custom error handling to make it more robust. Python already raises built-in errors, but here you must define and use custom exceptions (in custom_errors.py) to handle library-specific error conditions. Building upon Task 3, update your user.py and book.py modules to handle invalid input, and modify task4.py to handle exceptions gracefully so that the system does not crash. You must ensure that this system is: Correct: Through use of assert to validate assumptions in your logic. Safe: Through defensive programming techniques that prevent invalid inputs (e.g. wrong types, negative amounts). In this task we will be using custom errors as python will already raise some of these errors when we execute invalid code. Our new errors are located in cusom_errors.py. You must use these custom errors, please see rubric for related penalties in this task. After auditing the CSV data, the librarian has introduced new validation rules to be applied in addition to the requirements described in Tasks 1–3. These rules strengthen data quality and prevent corrupted records from entering the system. Always include a helpful and descriptive error message when raising errors. Doing so contributes to the readability and overall quality of your assignment. Users Every user must have a password. Passwords cannot be empty. Every word in a user's name must contain only alphabetic characters. Numbers, symbols, and special characters are not allowed. Department is mandatory for students and staff, but must remain empty for other users. The only valid departments are: IT, Business, Arts, Science, Engineering, Education, Medicine and Library. Books The library only recognizes two valid book types: physical and online. The following fields are required for all books: Title, Author, Year Each book may have at most 5 keywords. Each word in keywords must consist of letters and numbers only. The only allowed special character is the hyphen (-). Loans Every loan record must be associated with an existing user and an existing book. The due date is a required field and cannot be left empty. Defensive Programming The following exceptions are provided to you in custom_errors.py: CustomTypeError: A value is the wrong type (e.g. a string instead of a float or int). CustomValueError: A value is of the correct type but invalid (e.g. negative copies). CustomDateError: Raised when a date is in the wrong format or when the date logic is invalid (e.g., borrow date occurs in the future). MissingRequiredFieldError: Raised when a required field is missing. UserNotFoundError or BookNotFoundError: Raised when a loan references a user or book that does not exist. CustomOperationError : Raised when an invalid borrow or return action is attempted. CustomLimitError: Raised when a user exceeds their quota or borrowing limit. CustomKeyError: Occurs when you try to access a key in the dictionary that doesn't exist.
10-18
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