CONTRIBUTING.md

Contributing guidelines

Before contributing

Welcome to Ear-segmentation-ai! Before sending your pull requests, make sure that you read the whole guidelines. If you have any doubt on the contributing guide, please feel free to state it clearly in an issue

Contributing

Contributor

We are very happy that you are considering implementing algorithms and data structures for others! This repository is referenced and used by learners from all over the globe. Being one of our contributors, you agree and confirm that:

• You did your work - no plagiarism allowed
  • Any plagiarized work will not be merged.
• Your work will be distributed under MIT License once your pull request is merged
• Your submitted work fulfils or mostly fulfils our styles and standards

New implementation is welcome! For example, new solutions for a problem, different representations for a graph data structure or algorithm designs with different complexity but identical implementation of an existing implementation is not allowed. Please check whether the solution is already implemented or not before submitting your pull request.

Improving comments and writing proper tests are also highly welcome.

Contribution

We appreciate any contribution, from fixing a grammar mistake in a comment to implementing complex algorithms. Please read this section if you are contributing your work.

Your contribution will be tested by our automated testing on GitHub Actions to save time and mental energy. After you have submitted your pull request, you should see the GitHub Actions tests start to run at the bottom of your submission page. If those tests fail, then click on the details button try to read through the GitHub Actions output to understand the failure. If you do not understand, please leave a comment on your submission page and a community member will try to help.

Please help us keep our issue list small by adding fixes: #{$ISSUE_NO} to the commit message of pull requests that resolve open issues. GitHub will use this tag to auto-close the issue when the PR is merged.

Pre-commit plugin

Use pre-commit to automatically format your code to match our coding style:

python3 -m pip install pre-commit  # only required the first time
pre-commit install

That's it! The plugin will run every time you commit any changes. If there are any errors found during the run, fix them and commit those changes. You can even run the plugin manually on all files:

pre-commit run --all-files --show-diff-on-failure

Coding Style

We want your work to be readable by others; therefore, we encourage you to note the following:

• Please write in Python 3.8. For instance: print() is a function in Python 3 so print "Hello" will not work but print("Hello") will.

• Please focus hard on the naming of functions, classes, and variables. Help your reader by using descriptive names that can help you to remove redundant comments.

  • Single letter variable names are old school so please avoid them unless their life only spans a few lines.
  • Expand acronyms because gcd() is hard to understand but greatest_common_divisor() is not.
  • Please follow the Python Naming Conventions so variable_names and function_names should be lower_case, CONSTANTS in UPPERCASE, ClassNames should be CamelCase, etc.

• We encourage the use of Python f-strings where they make the code easier to read.

• Please consider running psf/black on your Python file(s) before submitting your pull request. This is not yet a requirement but it does make your code more readable and automatically aligns it with much of PEP 8. There are other code formatters (autopep8, yapf) but the black formatter is now hosted by the Python Software Foundation. To use it,

  python3 -m pip install black  # only required the first time
  black .

• All submissions will need to pass the test flake8 . --ignore=E203,W503 --max-line-length=88 before they will be accepted so if possible, try this test locally on your Python file(s) before submitting your pull request.

  python3 -m pip install flake8  # only required the first time
  flake8 . --ignore=E203,W503  --max-line-length=88 --show-source

• Original code submission require docstrings or comments to describe your work.

• More on docstrings and comments:

  If you used a Wikipedia article or some other source material to create your algorithm, please add the URL in a docstring or comment to help your reader.

  The following are considered to be bad and may be requested to be improved:

  x = x + 2	# increased by 2

  This is too trivial. Comments are expected to be explanatory. For comments, you can write them above, on or below a line of code, as long as you are consistent within the same piece of code.

  We encourage you to put docstrings inside your functions but please pay attention to the indentation of docstrings. The following is a good example:

  def sum_ab(a, b):
      """
      Return the sum of two integers a and b.
      """
      return a + b

• Write tests (especially doctests) to illustrate and verify your work. We highly encourage the use of doctests on all functions.

  def sum_ab(a, b):
      """
      Return the sum of two integers a and b
      >>> sum_ab(2, 2)
      4
      >>> sum_ab(-2, 3)
      1
      >>> sum_ab(4.9, 5.1)
      10.0
      """
      return a + b

  These doctests will be run by pytest as part of our automated testing so please try to run your doctests locally and make sure that they are found and pass:

  python3 -m doctest -v my_submission.py

  The use of the Python builtin input() function is not encouraged:

  input('Enter your input:')
  # Or even worse...
  input = eval(input("Enter your input: "))

  However, if your code uses input() then we encourage you to gracefully deal with leading and trailing whitespace in user input by adding .strip() as in:

  starting_value = int(input("Please enter a starting value: ").strip())

  The use of Python type hints is encouraged for function parameters and return values. Our automated testing will run mypy so run that locally before making your submission.

  def sum_ab(a: int, b: int) -> int:
      return a + b

  Instructions on how to install mypy can be found here. Please use the command mypy --ignore-missing-imports . to test all files or mypy --ignore-missing-imports path/to/file.py to test a specific file.

• List comprehensions and generators are preferred over the use of lambda, map, filter, reduce but the important thing is to demonstrate the power of Python in code that is easy to read and maintain.

• Avoid importing external libraries for basic algorithms. Only use those libraries for complicated algorithms.

• If you need a third-party module that is not in the file requirements.txt, please add it to that file as part of your submission.

• Most importantly,

  • Be consistent in the use of these guidelines when submitting.
  • Happy coding!

Writer @onuralpszr, Dec 2022.