E21 · JetBrains/i56
Scores
| Method | Score | Scale | Dataset rank (0–100) |
|---|---|---|---|
| GPT-6.1 Sol | 18.67 | 0–20; mean of three runs | 91.5Δ 66.9 |
| DeepSeek V4 Pro | 17.67 | 0–20; mean of three runs | 88.6Δ 64.0 |
| BTTF | 0.578 | 0–1; higher is more readable | 86.4Δ 61.9 |
| Human | 0.56 | 0–1; original rating | 24.6 |
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GPT-6.1 Sol explanations
Run 1 · 18/20
Code Structure: Clear separation between sequence output and next-term generation.
Nesting: Shallow, with only an if/else inside a loop.
Clarity of intent: Descriptive class, method, and variable names make the look-and-say algorithm easy to understand; the hardcoded iteration count is a minor clarity issue.
Code length: Concise without unnecessary abstractions or repetition.
Action granularity: Each line generally performs one logical action; chained appends naturally represent adding a count-character pair.
Reading flow: Initialization, character grouping, final-group handling, and return follow a natural sequence. The nonempty-input assumption in getNextTerm is implicit, slightly reducing clarity.
Run 2 · 19/20
Code Structure: Clean separation between sequence generation in main and term construction in getNextTerm.
Nesting: Shallow, with only an if/else inside a loop.
Clarity of intent: Descriptive class, method, and variable names make the look-and-say algorithm easy to understand; the fixed iteration count of 20 is unexplained.
Code length: Concise without sacrificing clarity or introducing unnecessary abstractions.
Action granularity: Most lines perform one action; chained append calls naturally express a count-character pair.
Reading flow: Initialization, character counting, group emission, and final-group handling follow a logical order. A brief explanation of the final append and a named iteration constant would offer minor readability improvements.
Run 3 · 19/20
Code Structure: Clean separation between sequence generation in main and term construction in getNextTerm.
Nesting: Shallow, with only an if/else inside a loop.
Clarity of intent: Descriptive class, method, and variable names make the look-and-say algorithm easy to understand; the unexplained iteration limit of 20 is a minor weakness.
Code length: Concise without sacrificing clarity.
Action granularity: Statements generally perform one action per line; chained append calls express a cohesive count-character pair.
Reading flow: Natural progression from initialization through character counting, group emission, and final return. Overall, highly readable with only minor opportunities to clarify the iteration limit.
DeepSeek V4 Pro explanations
Run 1 · 18/20
The code is highly readable. It has a clear structure with separate methods for generating and printing terms. Nesting is minimal, with only one level inside the loops. Intent is clear: generate the Look-and-Say sequence. The `getNextTerm` method is concise and follows a straightforward algorithm. Each line performs a single logical action, and the flow from initial term through iteration to output is natural. Minor improvements could include adding comments or constants, but overall this is excellent.
Run 2 · 18/20
The code is well-structured with a clear separation of concerns: main handles iteration and output while getNextTerm implements the look-and-say logic. Nesting is minimal with only one level inside the loop. Variable names are descriptive, and the algorithm is concise without unnecessary verbosity. Each line performs a single logical action, promoting readability. The reading flow follows a natural progression from initialization through counting to appending results. The only minor deduction is the slight duplication in appending the final count/character sequence, which could be slightly more elegant but doesn't harm clarity.
Run 3 · 17/20
The code is well-structured, with a clear separation between the main loop and the term-generation logic. Nesting is minimal, with only two levels (loop and if-else). Intent is obvious from method and variable names. The code is concise and avoids unnecessary verbosity. Each line performs a single logical action, enhancing readability. The reading flow follows a natural progression: initialize, loop, print, update, then compute next term. The getNextTerm method is straightforward, though it could benefit from a brief comment explaining the look-and-say rule for newcomers. Overall, this is highly readable code.
BTTF feature contributions
Score 0.578 / 1