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Memento Design Pattern

Videos

Section Video Links
Memento Overview Memento Overview Memento Overview Memento Overview
Memento Use Case Memento Use Case Memento Use Case Memento Use Case
Getters/Setters Getters/Setters Getters/Setters Getters/Setters

Book

Cover Links
Design Patterns In Python (ASIN : B08XLJ8Z2J)    https://www.amazon.com/dp/B08XLJ8Z2J
   https://www.amazon.co.uk/dp/B08XLJ8Z2J
   https://www.amazon.in/dp/B08Z282SBC
   https://www.amazon.de/dp/B08XLJ8Z2J
   https://www.amazon.fr/dp/B08XLJ8Z2J
   https://www.amazon.es/dp/B08XLJ8Z2J
   https://www.amazon.it/dp/B08XLJ8Z2J
   https://www.amazon.co.jp/dp/B08XLJ8Z2J
   https://www.amazon.ca/dp/B08XLJ8Z2J
   https://www.amazon.com.au/dp/B08Z282SBC

Overview

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Terminology

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Memento UML Diagram

Memento UML Diagram

Source Code

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Output

python ./memento/memento_concept.py
Originator: Setting state to `State #1`
Originator: Setting state to `State #2`
CareTaker: Getting a copy of Originators current state
Originator: Providing Memento of state to caretaker.
Originator: Setting state to `State #3`
CareTaker: Getting a copy of Originators current state
Originator: Providing Memento of state to caretaker.
Originator: Setting state to `State #4`
State #4
CareTaker: Restoring Originators state from Memento
Originator: State after restoring from Memento: `State #2`
State #2
CareTaker: Restoring Originators state from Memento
Originator: State after restoring from Memento: `State #3`
State #3

Example Use Case

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Example UML Diagram

Memento Use Case UML Diagram

Output

python ./memento/client.py
Score: 200, Level: 0, Location: {'x': 0, 'y': 0, 'z': 2}
Inventory: {'rifle', 'sword'}

CareTaker: Game Save
Score: 500, Level: 1, Location: {'x': 0, 'y': 0, 'z': 13}
Inventory: {'motorbike', 'rifle', 'sword'}

CareTaker: Game Save
Score: 600, Level: 2, Location: {'x': 0, 'y': 0, 'z': 14}
Inventory: {'motorbike', 'rifle', 'sword'}

CareTaker: Restoring Characters attributes from Memento
Score: 200, Level: 0, Location: {'x': 0, 'y': 0, 'z': 2}
Inventory: {'rifle', 'sword'}

New Coding Concepts

Python Getter/Setters

Often when coding attributes in classes, you may want to provide methods to allow external functions to read or modify a classes internal attributes.

A common approach would be to add two methods prefixed with get_ and set_,

class ExampleClass:
    def __init__(self):
        self._value = 123
    
    def get_value(self):
        return self._value

    def set_value(self, value):
        self._value = value

example = ExampleClass()
print(example.get_value())

This makes perfect sense what the intentions are, but there is a more pythonic way of doing this and that is by using the inbuilt Python @property decorator.

class ExampleClass:
    def __init__(self):
        self._value = 123

    @property
    def value(self):
        return self._value

    @value.setter
    def value(self, value):
        self._value = value

example = ExampleClass()
print(example.value)

Note that in the above example, there is an extra decorator named @value.setter . This is used for setting the _value attribute.

Along with the above two new getter/setter methods, there is also another method for deleting an attribute called deleter .

class ExampleClass:
    def __init__(self):
        self._value = 123

    @property
    def value(self):
        return self._value

    @value.setter
    def value(self, value):
        self._value = value

    @value.deleter
    def value(self):
        print('Deleting _value')
        del self._value

example = ExampleClass()
print(example.value)
del example.value
print(example.value) # now raises an AttributeError

Summary

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