Implementing Prototype pattern with Python
Prototype pattern is an object Creational pattern, whose purpose is to create new objects by copying the prototype of existing objects, rather than creating new objects through instantiation and initialization operations. In Python, you can use the 'copy' function provided by the 'copy' module to implement the Prototype pattern` The 'copy' function can be used for shallow and deep copying of objects. The following is an example code of using Python to implement the Prototype pattern: ```python import copy class Prototype: def __init__(self): self.objects = {} def register_object(self, name, obj): self.objects[name] = obj def unregister_object(self, name): del self.objects[name] def clone(self, name, **kwargs): obj = copy.deepcopy(self.objects.get(name)) obj.__dict__.update(kwargs) return obj class Object: def __init__(self, name): self.name = name def __str__(self): return f"Object: {self.name}" #Create prototype objects prototype = Prototype() #Create initial object obj1 = Object("Object 1") prototype.register_object("obj1", obj1) #Copy Object obj2 = prototype.clone("obj1", name="Object 2") print(obj1) print(obj2) ``` Run the above code and the output result is: ``` Object: Object 1 Object: Object 2 ``` In the example code, the 'Prototype' class is the definition of the prototype object, and the 'Object' class is the definition of the object to be copied. When creating a prototype object, first register the initial object and then use the 'clone' method to copy the object. The 'update' method allows you to update the properties of cloned objects. It should be noted that the 'copy. dropcopy' method is used to create deep copies of objects, ensuring that each cloned object is independent rather than sharing the same object.