Refactor code quality and performance issues

[akshgpt7]

Description

Hi 👋, I ran DeepSource analysis on my fork of the repo, and found some interesting code quality issues that can improve the general code quality and performance here.
This PR fixes a few of the issues detected.

Summary of changes:

• Remove repeated imports.
• Remove duplicate key in dictionary.
• Iterate directly over dictionary instead of calling keys().
• Simplify if statements.
• Refactor unnecessary use of list comprehension, affecting performance.

[JimmXinu]

I've incorporated some of this, thanks. But I don't want to make any unnecessary changes to included_dependencies.

[akshgpt7]

That makes sense. Thanks!
Also, @JimmXinu, I'd just like to point out that the issues fixed here were detected by running DeepSource analysis on the repo. If you like, you can activate analysis for your repository to detect such code quality issues/bug risks on the fly for every change made. You can also use the Autofix feature to fix them with one click. As for the included_dependencies, there's an option to exclude file paths.

Here's what you can do if you wish to activate DeepSource to continuously analyze your repository:

• Install DeepSource on your repository.
• Create .deepsource.toml configuration which you can use to configure your analysis settings.
• Activate analysis here.

If you have any doubts or questions, you can check out the docs, or feel free to reach out :)