Copy Properties Maintain Their Own Copies

本文深入探讨了Objective-C与Swift中对象拷贝与引用的机制,解释了为何在某些场景下使用拷贝可以避免意外的数据共享问题,并提供了实例演示。

#import <Foundation/Foundation.h>


/*

Copy Properties Maintain Their Own Copies


*/

@interface Person: NSObject


@property NSString *firstName;

@property NSString *lastName;


@end


/* 如下的赋值,由于firstName是一个不可变的,但是赋值后,如果mutableString修改了,

 firstName的值也会发生变化,这样与最初的定义不符合。 */

NSMutableString *mutableString = [NSMutableString stringWithString:@"Jhon"];

person.firstName = mutableString


/* 为了解决这个问题,可以使用copy修饰符号 */

@interface Person: NSObject

@property (copy) NSString *firstName;

@property (copy) NSString *lastName;

@end


/* 这样定义以后,用mutableStringfirstName赋值的时候,会拷贝一分新的对象给firstName

这样,以后mutableString的任何变化都不会影响到firstName,因为赋值给firstName

是拷贝一个新的对象,所以不能使用weak,否则就赋值不成功的。 */

Sure, to perform a simple object copy in most programming languages, you would typically create a new instance of the object and assign its with the values from the original object. can be done using either a shallow copy or a deep copy, depending on the requirements. A shallow copy creates a new object and copies the values of the properties from the original object to the new object. However, if the properties of the original object are references to other objects, the shallow copy will still point to the same referenced objects. A deep copy, on the other hand, creates a new object and recursively copies all referenced objects as well. This ensures that the copied object is completely independent of the original object. Here's an example of a simple object copy in Python using a shallow copy: ```python import copy class MyClass: def __init__(self, value): self.value = value # Create an instance of MyClass original_obj = MyClass(10) # Shallow copy the original object copied_obj = copy.copy(original_obj) # Modify the value in the copied object copied_obj.value = 20 # Print values of both original and copied objects print(original_obj.value) # Output: 10 print(copied_obj.value) # Output: 20 ``` In this example, modifying the value in the copied object doesn't affect the original object because it is a shallow copy. If you need to perform a deep copy, you can use `copy.deepcopy()` instead of `copy.copy()`: ```python deep_copied_obj = copy.deepcopy(original_obj) ``` This will create a completely independent copy of the original object, including any referenced objects. Keep in mind that the approach may vary depending on the programming language you are using.
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