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Contributing to Inverse Kinematics of PUMA 560 using DNN

Welcome to Inverse Kinematics of PUMA 560 using DNN! We appreciate your interest in contributing. By participating in this project, you agree to abide by our Code of Conduct.

How to Contribute

Reporting Bugs

If you encounter a bug or unexpected behavior, please check the existing issues to see if it has already been reported. If not, please open a new issue following these guidelines:

  1. Search for existing issues: Before creating a new issue, please search through existing issues to avoid duplicates.
  2. Provide details: Clearly describe the issue, including steps to reproduce it if possible.
  3. Include environment information: Mention your operating system, Python version, and any relevant dependencies.

Suggesting Enhancements

We welcome suggestions for new features or improvements. Please follow these guidelines when making suggestions:

  1. Provide context: Explain why the enhancement would be useful.
  2. Be clear and concise: Describe the enhancement in detail, including any specific use cases.

Contributing Code

We welcome contributions via pull requests (PRs). To contribute code, follow these steps:

  1. Fork the repository: Create your own fork of the repository, then clone it to your local machine.
  2. Branch out: Create a new branch for your feature or fix: git checkout -b feature-or-fix.
  3. Make changes: Write your code and commit changes with descriptive messages.
  4. Test: Ensure your changes work as expected and include any necessary tests.
  5. Submit a pull request: Push your changes to your fork and submit a PR to the main branch of this repository.
  6. Review: Your PR will be reviewed by the maintainers. Address any feedback and follow the review process.

Code Style

Maintain consistent code style with the existing codebase.

License

By contributing to this project, you agree that your contributions will be licensed under the MIT License.

Questions?

If you have any questions about contributing, feel free to contact us at [[email protected]] or open an issue.

Thank you for contributing to Inverse Kinematics of PUMA 560 using DNN!