LGA-Personal / gplearn-CUDA / 22828755830 / 1

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main: 80%

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github

chore: professionalize repository (robust tests, deep-dive docs, linting)

Summary of professionalization:
- Added 'gplearn/tests/test_cuda.py' for rigorous CUDA VM testing.
- Created 'doc/cuda_architecture.rst' with technical specs of the hybrid backend.
- Standardized docstrings for all Symbolic estimators.
- Added Ruff configuration to pyproject.toml for automated code quality.
- Cleaned up Sphinx TOC and formatting.

337 of 426 branches covered (79.11%)

Branch coverage included in aggregate %.

832 of 986 relevant lines covered (84.38%)

0.84 hits per line