puncover-riscv 0.2.3

Analyses RISCV C/C++ build output for code size, static variables, and stack usage.

puncover

Analyzes RISCV C/C++ binaries for code size, static variables and stack usages. It creates a report with disassembler and call-stack analysis per directory, file, or function.This project based on https://github.com/HBehrens/puncover, but only support arch riscv. Add -fstask-usage to your gcc build flag. By Heiko Behrens - MIT license, copyright © 2014-2017

Installation and Usage

Install with pip:

pip install puncover_riscv

Run it by passing the binary to analyze:

puncover_riscv --elf_file project.elf
...
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

Open the link in your browser to view the analysis.

Running Tests Locally

To run the tests locally, you need to install the development dependencies:

1. install pyenv: https://github.com/pyenv/pyenv

   curl https://pyenv.run | bash

2. install all the python environments, using this bashism (this can take a few minutes):

   for _py in $(<.python-version ); do pyenv install ${_py}; done

3. install the development dependencies:

   pip install -r requirements-dev.txt

Then you can run the tests with:

tox

Publishing Release

1. Update the version in puncover_riscv/__version__.py.

2. Commit the version update: .. code-block:: bash

   git add . && git commit -m “Bump version to x.y.z”

3. Create an annotated tag: .. code-block:: bash

   git tag -a {-m=,}x.y.z

4. Push the commit and tag: .. code-block:: bash

   git push && git push –tags

5. Either wait for the GitHub Action to complete and download the release artifact for uploading: https://github.com/Egahp/puncover_riscv/actions OR Build the package locally: python setup.py sdist bdist_wheel

6. Upload the package to PyPI: .. code-block:: bash

   twine upload dist/*

7. Create GitHub releases: - gh release create --generate-notes x.y.z - attach the artifacts to the release too: gh release upload x.y.z dist/*

Release Script

See scripts/release.sh for a script that automates the above steps.

Contributing

Contributions are welcome! Please open an issue or pull request on GitHub.