Self-defining functions模式

自我定义函数与作用域的深入探讨
本文详细解析了JavaScript中自我定义函数的使用及其内部作用域的特点,通过实例展示了如何利用函数来减少代码重复,并讨论了局部变量与全局变量的相互影响。通过创建具有属性的对象和使用闭包的概念,读者可以更深入地理解JavaScript函数的作用和应用。
/* Title: 自我定义函数
Description: 自身重写,以减少第一次调用以后的代码量
*/
var scareMe = function () {
alert("Boo!");
scareMe = function () {
alert("Double boo!");
};
};
// 1. 添加阴属性
scareMe.property = "properly";
var prank = scareMe;
var spooky = {
boo:scareMe
};
prank(); // "Boo!"
prank(); // "Boo!"
console.log(prank.property); // "properly"
spooky.boo(); // "Boo!"
spooky.boo(); // "Boo!"
console.log(spooky.boo.property); // "properly"
// 使用自我定义函数
scareMe(); // Double boo!
scareMe(); // Double boo!
console.log(scareMe.property); // undefined
### Python `self.rules` Equals `self.make_rules()` Method Implementation and Issues In object-oriented programming with Python, the use of methods like `self.rules = self.make_rules()` is common when initializing or updating attributes within an instance based on specific rules defined by another method. This pattern ensures encapsulation and separation of concerns. The line `self.rules = self.make_rules()` suggests that: - An attribute named `rules` belongs to each instance (`self`) of a class. - The value assigned to this attribute comes from calling the method `make_rules`. Here's how one can implement such functionality properly using best practices in Python[^1]: ```python class RuleBasedSystem: def __init__(self): # Initialize other necessary variables here # Call make_rules during initialization self.rules = self.make_rules() def make_rules(self): """ Defines logic for creating rule set. Returns: A data structure containing all applicable rules (e.g., list, dict). """ # Logic to create rules goes here return { "rule_1": True, "rule_2": False, # Add more rules as needed } ``` Common issues encountered while implementing similar patterns include: - **Initialization Order**: Ensuring proper order between defining properties and invoking methods which depend on those properties. - **Method Visibility**: Making sure that any helper functions used internally are not exposed unnecessarily outside the class unless intended. - **Error Handling**: Incorporating robust error handling mechanisms inside `make_rules`, especially if it depends on external resources or user inputs. To address these challenges effectively, consider adding checks before setting up `self.rules`. For example, validating input parameters passed into `__init__` or ensuring dependencies required by `make_rules` exist prior to execution. --related questions-- 1. How does Python handle inheritance concerning private members? 2. What strategies should be adopted to manage complex state transitions within objects efficiently? 3. Can you provide examples where improper initialization leads to bugs in Python classes? 4. In what scenarios would static methods versus class methods better suit designing utility functions related to rule creation?
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