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[New Concept Exercise]: Class Composition in Python
This issue describes how to implement the class-composition concept exercise for the Python track.
The related concept documents issue can be found here.
β Getting started
If you have not yet created or contributed to a concept exercise, this issue will require some upfront reading to give you the needed background knowledge. Some good example exercises to look at in the repo:
π‘Example Exercisesπ‘ (click to expand)
We also recommend completing one or more of the concept exercises (they're called "learning exercises") on the website.
Please please read the docs before starting. Posting PRs without reading these docs will be a lot more frustrating for you during the review cycle, and exhaust Exercism's maintainers' time. So, before diving into the implementation, please go through the following documents:
General Contributing Docs:
- Contributing to Exercism | Exercism and GitHub | - Contributor Pull Request Guide
- What are those Weird Task Tags about?
- Exercism Formatting and Style Guide
- Exercism Markdown Specification
- Reputation
Documents on Language Tracks and Concept Exercises
- Building Language Tracks: An Overview
- What are Concept Exercises?
- Concept Exercise Specifications
- Concept Exercise Stories
π― Goal
The goal of this concept exercise is to teach an understanding/use of class-composition in Python.
π‘Learning objectives
- more fully understand the uses (and possible abuses) of
classesin Python - understand what
compositionis vsinheritanceinclasses - learn a bit about the pros and cons of using
compositioninclasses - learn about the "Composition over inheritance" principle
- learn a bit about
dependency injection/inversion of controlas acompositiondesign pattern
π€ Concepts (and related concepts)
classescompositioninOOPencapsulationinOOPinheritanceinOOPdependency injection
π« Topics that are Out of scope
Concepts & Subjects that are Out of Scope (click to expand)
metaclassesdataclassesdecoratorsoutside of@property,@staticmethod, and@classmethod(the student should already be exposed to these in the prerequisite exercise)generatorscoroutinesdescriptors(these will get their own exercise)- using a
classas a decorator - performance considerations
β©οΈ Prerequisites
These are the concepts/concept exercises the student should be familiar with before taking on/learning this concept.
Prereqs (click to expand)
basicsbooleansclassesclass-customizationclass-inheritancecomparisonsdecoratorsdictsfunctionshigher-order functionsiterationlistsnumberssequencessetsstringstuples
π Resources for Writing and Reference
Resources (click to expand)
- classes (Python tutorial)
- Real Python: Object-Oriented Programming in Python 3
- Real Python: Inheritance and Composition: A Python OOP Guide
- What is Composition (OOP in Python)
- What is Composition -- good explanation, but it uses Java
- Inheritance, Composition, and Aggregation in Python
- The Composition over Inheritance Principle
- Pythonic Dependency Injection: A Practical Guide
- Method Delegation in Python
- Python Data Model - Python Docs
- Stack Overflow: Composition and Aggregation in Python
Exercise Ideas & Stories
Should you need inspiration for an exercise story, you can find a collection here. You can also port an exercise from another track, but please make sure to only to include tasks that actually make sense in Python and that add value for a student. Remove/replace/add tasks as needed to make the concept clear/workable.
π Exercise Files to Be Created
File Detail for this Exercise
|
βΎοΈ Exercise Metadata - Track
For more information on concept exercises and formatting for the Python track config.json , please see config.json. The track config.json file can be found in the root of the Python repo.
You can use the below for the exercise UUID. You can also generate a new one via exercism configlet, uuidgenerator.net, or any other favorite method. The UUID must be a valid V4 UUID.
- Exercise UUID : ``
- concepts should be filled in from the Concepts section in this issue
- prerequisites should be filled in from the Prerequisites section in this issue
πΆ Implementation Notes
-
As a reminder, code in the
.meta/examplar.pyfile should only use syntax & concepts introduced in this exercise or one of its prerequisite exercises. We run all ourexamplar.pyfiles through PyLint, but do not strictly require module docstrings. We do require function docstrings similar to PEP257. See this concept exerciseexemplar.pyfor an example. -
Please do not use comprehensions, generator expressions, or other syntax not previously covered either in the introduction to this exercise, or to one of its prerequisites. Please also follow PEP8 guidelines.
-
In General, tests should be written using
unittest.TestCaseand the test file should be named<EXERCISE-NAME>_test.py.- All asserts should contain a "user friendly" failure message (these will display on the webiste to students, so be as clear as you can).
- We use a
PyTest custom markto link test cases to exercise task numbers. - We also use
unittest.subtestto parameterize test input where/when needed. Here is an example testfile that shows all three of these in action.
-
While we do use PyTest as our test runner and for some implementation tests, please check with a maintainer before using a PyTest-specific test method, fixture, or feature.
-
Our markdown and JSON files are checked against prettier . We recommend setting prettier up locally and running it prior to submitting your PR to avoid any CI errors.
π Next Steps & Getting Help
If you'd like to work on this issue, comment saying "I'd like to work on this"(there is no real need to wait for a response, just go ahead, we'll assign you and put a[claimed]label on the issue).- If you have any questions while implementing, please post the questions as comments in here, or contact one of the maintainers on our Slack channel.