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598 findings to none, and the suite ran through `./run.sh run` after each step rather than at the end -- 18 passed, 27s, every time. The shape of this one was different from the other courses. PORR is four implementations of the same linear algebra (sequential, threads, processes, dask), so nearly every finding came in groups of four: - 229 missing annotations. Rather than `object`, which mypy strict rejects on every attribute access, each module declares what these actually are: `Matrix = np.ndarray | list[list[float]]` and the vector equivalent. The backends really are called with both -- comparing them is the point of the course. - 76 names: `A` -> matrix, `Ab` -> augmented, `Ax` -> product, `I` -> identity, `dA` -> dask_matrix, and the two CamelCase functions. Renamed through `tokenize`, not regex, so no string or comment was touched. - 121 missing docstrings, one per method name since the names repeat across all four backends. - Seven functions over the argument limit, all taking the same seven or nine loose values. They are two frozen dataclasses now, in a new richardson_problem.py: `Problem(matrix, rhs, lambda_min, lambda_max)` and `Settings(max_iterations, x0, tol)`. `RichardsonMethod.__init__` also took a `size` argument it never read. - threads_indep_old's iteration did "split into chunks, submit, wait" four times by hand (C901 11, PLR0915 54). One `_run_chunked` helper. - tests.py's two bare asserts became explicit raises, per the no-ignores rule. `assert False` was also B011: `python -O` deletes it, so the non-convergence branch would have silently passed under optimisation. Real fixes rather than style: np.random -> Generator, `os.path.exists` -> Path, an `except Exception` around dask narrowed to the errors it actually raises, and two runnable modules that logged at INFO without ever calling basicConfig -- caught by scripts/check_refactor_safety.py, which is now doing the job it was written for. Repo-wide: 1,781 findings -> 1,183, all of them in the five courses left. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
21 lines
753 B
Python
Executable File
21 lines
753 B
Python
Executable File
#!/usr/bin/env python3
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"""Entry point for the PORR benchmark suite.
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Runs ``tests.py``, which compares this project's Richardson implementations
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(sequential, threads, processes, distributed arrays) against numpy's direct
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solver over a range of matrix sizes.
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The suite is heavy at the largest sizes it parametrises; ``../run.sh`` narrows
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the default selection via ``PYTEST_ADDOPTS`` and says there how to widen it.
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"""
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import sys
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import pytest
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if __name__ == "__main__":
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# sys.exit, because pytest.main returns the status rather than raising:
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# discarding it made `python main.py` report success even when every test
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# failed, which in turn made the run harness unable to tell the two apart.
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sys.exit(pytest.main(["-v", "tests.py"]))
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