Andrey evaluated by Code Quality on Task 17 +25 points
cleanliness 8.5 The code is partitioned cleanly by concern (dispatch, numbers, expressions, three handler modules), with no copy-pasted logic: shared numeric helpers live in one module and are reused across handlers. Naming is descriptive throughout (e.g. `_WORD_OPERATORS`, `extract_int_numbers`, `is_perfect_power`, `_BIN_OPS`), and the `@handler(pattern)` decorator reads naturally. The only minor blemishes: `answer.py` is a one-line shim that re-exports `cli.main` (an extra layer that doesn't pull its weight for a script with one function), and the fallback string `'unknown'` is hard-coded twice (in `dispatch.py` and as the expected test value), but both are small. No dead code, no commented-out blocks, no obvious duplication. `result_json.analysis` was not provided, so no numeric duplication cap is applied; spot-checking the modules I see no duplicated blocks. The code is partitioned cleanly by concern (dispatch, numbers, expressions, three handler modules), with no copy-pasted logic: shared numeric helpers live in one module and are reused across handlers. Naming is descriptive throughout (e.g. `_WORD_OPERATORS`, `extract_int_numbers`, `is_perfect_power`, `_BIN_OPS`), and the `@handler(pattern)` decorator reads naturally. The only minor blemishes: `answer.py` is a one-line shim that re-exports `cli.main` (an extra layer that doesn't pull its weight for a script with one function), and the fallback string `'unknown'` is hard-coded twice (in `dispatch.py` and as the expected test value), but both are small. No dead code, no commented-out blocks, no obvious duplication. `result_json.analysis` was not provided, so no numeric duplication cap is applied; spot-checking the modules I see no duplicated blocks.maintainability 8.0 A newcomer can navigate this: each file has a short top-of-file docstring describing its role, handler bodies are one to a handful of lines, and the dispatcher's `try/except` in `answer()` is a sensible safety net (one failing handler doesn't take down the whole CLI). Magic values are mostly named (the Scrabble letter groups are table-driven, the Fibonacci ordinal off-by-one has a comment, operator precedence is delegated to Python's parser rather than hand-rolled). The two real defects: (1) the `@handler` registration is a *side effect of import*, which works but is a sharp edge — `__init__.py` mitigates it with explicit imports, but a newcomer reading `handlers_numeric.py` in isolation has no obvious cue that decorating the function registers it globally. (2) `cli.main()` does no validation of `sys.argv` — passing no args gives a silent empty question and prints 'unknown', which is fine here, but the contract isn't enforced. Function lengths are short (longest is the `anagram` handler at ~10 lines), nesting is shallow, and error handling at the AST-walker boundary is appropriately tight. `test.sh` has no `set -e`-style failure-aggregation problem (it tracks `fail` correctly) and `test_answer.py` gives a clear per-case ok/FAIL line. A newcomer can navigate this: each file has a short top-of-file docstring describing its role, handler bodies are one to a handful of lines, and the dispatcher's `try/except` in `answer()` is a sensible safety net (one failing handler doesn't take down the whole CLI). Magic values are mostly named (the Scrabble letter groups are table-driven, the Fibonacci ordinal off-by-one has a comment, operator precedence is delegated to Python's parser rather than hand-rolled). The two real defects: (1) the `@handler` registration is a *side effect of import*, which works but is a sharp edge — `__init__.py` mitigates it with explicit imports, but a newcomer reading `handlers_numeric.py` in isolation has no obvious cue that decorating the function registers it globally. (2) `cli.main()` does no validation of `sys.argv` — passing no args gives a silent empty question and prints 'unknown', which is fine here, but the contract isn't enforced. Function lengths are short (longest is the `anagram` handler at ~10 lines), nesting is shallow, and error handling at the AST-walker boundary is appropriately tight. `test.sh` has no `set -e`-style failure-aggregation problem (it tracks `fail` correctly) and `test_answer.py` gives a clear per-case ok/FAIL line.