Black is capable of reformatting files, but so far, we have only used it to detect issues and present diffs. That brings us to the one aspect we still haven't addressed yet. That'll come in pretty handy when you're fixing the violations. The logs will show both the failing files as well as the diffs for those files (because of the -diff argument). Our list_primes.py file will fail the test. Once you set up linting, all future commits and PRs will pass through Black. ![]() By default, this action runs Black with the -check and -diff arguments. This workflow checks out the repository, sets up Python, installs Black and then lints the files. ![]() Steps : - uses : actions/ - uses : actions/setup - uses : psf/ On : jobs : lint : runs-on : ubuntu -latest Let's install both Autohooks and the Black-integration plugin. It has a plugin system that enables integration with tools like Black. The 'pre-commit' hook is of particular interest to us because we'd like the lint check to take place before the commit is created, and prevent the commit from being created if it fails.Īutohooks is a Python package for managing these hooks via Python. Git hooks are programs that run on your codebase when you execute certain Git commands. Wouldn't it be awesome if Black ran automatically every time you were to commit your code? It's possible, with Git hooks. Let's automate the boring parts of the code review. list_primes.py 00:00:00.000000 0000 list_primes.py 00:00:00.000000 0000 -1,17 1,19 # list_primes.pyĬode review can be split in two parts: the interesting part where you solve big picture issues and the mundane parts where you identify non-idiomatic snippets and code style violations. Running the following command creates two files, Pipfile and Pipfile.lock, in the root of the repo and installs Black as a dev dependency. So let's install Black, while also taking the opportunity to set up some first-class dependency management with a tool I personally love, Pipenv. What's neat is that it is pretty opinionated and can't be configured much, making it ideal for automation. It is capable of automatically reformatting your Python files, fixing all code style violations. Extraneous space before function parenthesisīlack is a popular code formatter for Python.Don't get me wrong, it works, but it's not good. There are a lot of problems with this script. # list_primes.py def is_prime (number ) : for i in range ( 2, number ) : if number %i = 0 : return False return True def list_primes (upper ) : for number in range ( 2, upper ) : if is_prime (number ) : print ( F" is prime" ) These suggestions can improve performance, incorporate new language features, patch security oversights, or correct code style. Code reviews go a long way towards this goal.Ĭode review is the process where developers more experienced than yourself read through your code and suggest improvements that could make it better. Identifying the quality of code is an intuition that is honed over time, through practice and experience. Those are two MIT professors with pretty solid credentials. Programs are meant to be read by humans and only incidentally for computers to execute. ![]() All we have are some abstract guidelines such as readability: That's because there are no rules set in stone about what makes code good or bad. When we talk of good code, the word 'good' is vague by design. The former is a skill while the latter is an art form, and this difference distinguishes great programmers from the crowd. Writing code that works and writing good code are two very different things. Thisdict = So if work as expected black dos it's job and formatting the code in NoteBook.Right off the bat, let's clarify an important distinction. JupyterLab extension loaded from g:\anaconda3\lib\site-packages\jupyterlabSo no have installed nb-black and start jupyter lab all in base environment. Pip 20.0.2 from G:\Anaconda3\lib\site-packages\pip (python 3.7) Here a quick test on Windows now,could do the same on Linux no difference. Then test with pip -V and it should now point to the Anaconda placement. ![]() If you use Anaconda as in your other post,most remember to activate base. (Jun-03-2020, 11:38 AM)ErnestTBass Wrote: I am using a jupyter notebook on Ubuntu with python 3.7.7.We have talk a lot about setup and environment in your previous Thread.
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