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Relate difficult-to-understand code in C# using readable enum-like structures
Home Backend Development C++ How Can I Represent Incomprehensible Codes in C# with Readable Enum-Like Structures?

How Can I Represent Incomprehensible Codes in C# with Readable Enum-Like Structures?

Jan 13, 2025 pm 06:28 PM

How Can I Represent Incomprehensible Codes in C# with Readable Enum-Like Structures?

Relate difficult-to-understand code in C# using readable enum-like structures

A limitation of C# enumerations is that their underlying type must be an integer, which can hinder the creation of enumerations that represent difficult-to-understand code. To solve this problem, several alternatives can be considered.

One technique is to use properties in classes. This approach provides a more enum-like syntax while maintaining the flexibility of using strings as values. For example, a Logger class can define properties to represent logging categories:

public class LogCategory
{
    private LogCategory(string value) { Value = value; }

    public string Value { get; private set; }

    public static LogCategory Trace { get { return new LogCategory("Trace"); } }
    public static LogCategory Debug { get { return new LogCategory("Debug"); } }
    public static LogCategory Info { get { return new LogCategory("Info"); } }
    public static LogCategory Warning { get { return new LogCategory("Warning"); } }
    public static LogCategory Error { get { return new LogCategory("Error"); } }

    public override string ToString() { return Value; }
}
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Another option is to pass a type-safe string value as a parameter to the method. This approach allows the creation of strongly typed methods that accept specific string values. An example of such a method in the Logger class:

public static void Write(string message, LogCategory logCategory)
{
    var log = new LogEntry { Message = message };
    Logger.Write(log, logCategory.Value);
}
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How to use:

Logger.Write("这几乎就像一个枚举。", LogCategory.Info);
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Both techniques provide an alternative to enumerations for representing difficult-to-understand code, providing the benefits of type safety and readability.

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