Netherwarlord
f77f0af33a
- Introduced `test_answer_key.py` to validate the correctness of answer keys against expected responses, ensuring both false and true answers are graded appropriately. - Created `test_answer_values.py` to verify the accuracy of answer keys by recomputing values and comparing them against the provided `answers.json`. - Implemented `test_api.py` to test the HTTP API for suite management, ensuring read-only enforcement and proper handling of custom suites. - Added `test_code_lint.py` to perform static code analysis, ensuring that all linting rules are enforced without false positives on correct answers. - Developed `test_collision.py` to guard against prompt mismatches due to filename collisions across suites. - Created `test_gguf.py` to validate GGUF header parsing and model classification, including handling of malformed input. - Introduced `test_linter.py` to ensure report rendering preserves content integrity and correctly fences code. - Added `test_reporting.py` to verify report naming conventions and the accuracy of per-suite score breakdowns.
53 lines
2.2 KiB
Markdown
53 lines
2.2 KiB
Markdown
# Python tests
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```bash
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python tests_py/run_all.py # everything
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python tests_py/run_all.py gguf key # only files matching those words
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python tests_py/test_linter.py # one file directly
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```
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Exits non-zero if anything fails, so it works as a CI entry point.
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No third-party dependencies. `test_api.py` needs a running server
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(`python app.py`) and the `requests` package the LM Studio provider already
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uses; it prints `SKIP` and passes when the server is down, so the rest stay
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useful offline.
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| File | Covers |
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| --- | --- |
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| `test_answer_values.py` | The answer keys themselves, recomputed from scratch |
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| `test_answer_key.py` | The correctness grader, both directions |
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| `test_api.py` | Suites API, read-only guards, run selection |
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| `test_code_lint.py` | Static code rules, and the false positives they must not repeat |
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| `test_collision.py` | Qualified question IDs |
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| `test_gguf.py` | GGUF header parsing and model classification |
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| `test_linter.py` | Report rendering |
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| `test_reporting.py` | Report naming and the per-suite breakdown |
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The UI tests live separately, under `web/src/**/*.test.tsx` — run them with
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`cd web && npm test`.
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## Why these are scripts rather than `unittest` cases
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They exercise a diagnostic tool, so the output is read as much as the exit
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code. `test_code_lint.py` is a table of which rules fire on which input, and
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that is worth more when debugging a false positive than a row of dots.
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`run_all.py` aggregates exit codes for the times you only want a verdict.
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Each file runs in its own process. Several load plugins directly, which would
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otherwise collide in `sys.modules`.
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## `test_answer_values.py` is the one to keep honest
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The other files test code. This one tests **data** — it recomputes every
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numeric answer key with exact arithmetic and brute-force search, then asserts
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the shipped `answers.json` agrees.
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That matters because a wrong key fails correct work with total confidence,
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which is the exact failure the answer-key grader exists to remove. It earned
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its place immediately: the Winograd referent had been recorded backwards, and
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shipping it would have marked every correct answer wrong.
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If you add or edit a key, add the computation here too. A key nobody can
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re-derive is a liability.
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