Скачать или смотреть How to Count Lines of Code in Python Functions Without Running the Code

Discover how to efficiently count the number of lines in Python functions using the AST module, without executing the code. Learn step-by-step to analyze your Python files safely.
---
This video is based on the question https://stackoverflow.com/q/73041832/ asked by the user 'user3810965' ( https://stackoverflow.com/u/3810965/ ) and on the answer https://stackoverflow.com/a/73045908/ provided by the user 'rici' ( https://stackoverflow.com/u/1566221/ ) 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: Find number of lines in python functions without running it

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.
---
Counting Lines of Code in Python Functions Without Execution

When working with Python, developers often want to analyze their code without having to run it. One common question that arises is how to find the number of lines in Python functions within a script. This is particularly useful when you are attempting to evaluate or refactor code without executing it, which can lead to potential runtime errors. In this guide, we’ll explore a solution using Python's Abstract Syntax Tree (AST) module to achieve this goal effectively.

Understanding the Problem

Your aim is to identify the number of lines of code in each function from a Python file without actually executing the code. Traditional libraries, such as inspect, may allow you to retrieve function information, but they require running the program, which is not always desirable. This raises the need for a method that can analyze the code textually without execution.

The Solution: Using the AST Module

The AST module in Python allows you to parse Python source code into its syntax tree representation. This means you can traverse the code structure and extract functions along with the number of lines they occupy, all without executing the program. Below is a breakdown of how to implement this.

Key Steps

Import the AST Module: This module is included with Python, so there's no need to install anything extra.

Create a Visitor Class: This class will extend ast.NodeVisitor to handle function and class definitions within the code.

Visit Function and Class Nodes: In your visitor class, you will define methods to print the start and end line numbers of each function and class definitions.

Handle Syntax Errors: When analyzing the source file, you want to ensure that syntax errors don't stop your analysis.

Sample Code

Here’s a simple implementation that demonstrates these steps:

[[See Video to Reveal this Text or Code Snippet]]

Analyzing the Output

When the code is executed on itself or a Python file, it will output the classes and functions with their line numbers, providing insight into your code structure. Here’s an example of how to run it and the expected output:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Using the AST module is a powerful way to analyze Python code statically, allowing you to count lines of code in functions without executing them. By following the steps provided, you can adapt this method to fit your own requirements and integrate it into your development workflow.

Whether you are cleaning up existing code or ensuring new code adheres to style guidelines, counting lines of code can help you maintain a healthy codebase without the risks associated with runtime execution. Happy coding!