mager-bench

Baseline correctness + code style

# Correct, clean, idiomatic implementation with thorough docstring, examples, and even added input validation beyond requirements.

Pure documentation ability — no code at all

# Comprehensive, well-organized README covering all required sections with accurate flag documentation, clear examples, and proper Markdown/code-block formatting, though it invents extra details (hashing, exit codes) not specified in the prompt.'

Code clarity + whether the model can explain its changes

# Correct and clean refactor with meaningful names and idiomatic comprehension, but keeping 'x' as a loop variable is a minor quality lapse and the explanation table, while accurate, is fairly generic/boilerplate rather than deeply specific.

Algorithm + full docstring (Args/Returns/Raises + examples)

# Correct binary search logic and good edge-case handling, but the added `sorted(arr)` validation each call turns the algorithm into O(n log n), contradicting the claimed O(log n) efficiency and undermining the point of binary search; documentation is thorough and examples are accurate.

Class design + error handling + type hints + docs

# Response is cut off mid-implementation (post method incomplete, no usage example at bottom), making the code non-functional despite good structure and docstrings up to that point.