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How to Use pyproject.toml to Specify Valid Variable Names with Pylint

Learn how to configure Pylint to accept specific variable names in your Python projects by using the `pyproject.toml` settings file. --- This video is based on the question https://stackoverflow.com/q/65819508/ asked by the user 'baxx' ( https://stackoverflow.com/u/3130747/ ) and on the answer https://stackoverflow.com/a/73082392/ provided by the user 'baxx' ( https://stackoverflow.com/u/3130747/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: When using Pylint, how to state a particular list of variables which are valid names with the pyproject.toml settings file Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Introduction When working with Python, employing static code analysis tools like Pylint is essential for maintaining clean and readable code. However, Pylint has stringent rules regarding variable naming conventions. Running Pylint on files containing variables like x or l can often lead to warnings or errors, which may not always be warranted. This brings us to a common dilemma: how can we manage these naming constraints without compromising the context and meaning of our chosen variable names? In this post, we will delve into how to elegantly handle this issue using the pyproject.toml configuration file. Understanding the Problem Pylint raises errors for certain variable names that it deems invalid. For example, variable names such as x or l, while perfectly acceptable in specific contexts, can lead to unnecessary noise in your Pylint output. Disabling all naming conventions using Pylint's disable option is one solution. However, this approach might lead to overlooking other legitimate naming issues in your code. Hence, it is preferable to override only the specific naming conventions you wish to relax. A More Targeted Solution: Use the good-names Property Instead of universally disabling the naming rules, a more refined approach is to explicitly state which variable names should be considered valid. This is where the good-names property in the pyproject.toml file comes into play. Here’s how to implement this solution effectively: Step-by-Step Guide Step 1: Locate or Create pyproject.toml First, navigate to your project's root directory. Look for a file named pyproject.toml. If it doesn’t exist, create a new file with that name. Step 2: Edit the pyproject.toml File Open the pyproject.toml file in your favorite text editor. You need to append the following configuration under the [tool.pylint."MESSAGES CONTROL"] section: [[See Video to Reveal this Text or Code Snippet]] This block designates x and y as acceptable variable names, thus preventing Pylint from raising errors for these specific identifiers. Step 3: Save Your Changes Once you've added your specific variable names, make sure to save changes to the pyproject.toml file. Step 4: Run Pylint Again Now, execute Pylint on your Python files once again. You should notice that warnings regarding the specified variable names have been resolved, allowing your analysis to focus on more pertinent issues without distractions. Conclusion Utilizing the good-names property in the pyproject.toml file is an effective way to control which variable names are accepted by Pylint. By explicitly stating variables like x and y, you can preserve the clarity and intent of your code without disregarding Pylint's valuable checks altogether. Following these steps allows you to strike a balance between maintaining coding standards and allowing flexibility where it makes the most sense. Feel free to apply this configuration in your Python projects and enhance your coding experience while keeping Pylint's checks both meaningful and manageable. Happy coding!