Sample
pyint-a09f59ad5b20-I13
Lower every eligible synchronous for loop to a while loop
Scores
| Method | Score | Scale |
|---|---|---|
| Posnett | 0 | 0–1; higher is more readable |
| Dorn | 0.623 | 0–1; higher is more readable |
| Mi | 0.467 | 0–1; higher is more readable |
| LLOC | 23 | Logical lines; fewer is more readable |
| DeepSeek V4 Pro | 17 | 0–20; mean of three runs |
| GPT-6.1 Sol | 19 | 0–20; mean of three runs |
| BTTF | 0.641 | 0–1; higher is more readable |
Views
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Source regions
Feature contributions
Feature contributions
| Feature | Value | Contribution (log-odds) |
|---|---|---|
| Halstead volumeHow much symbolic information the code contains. It combines the total number of operators and values with the number of distinct ones. | 1173.778 | −38.735 |
| Source linesThe number of non-empty source lines. | 31 | +12.4 |
| Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value. | 4.692 | −7.038 |
Intercept 8.87 + feature contributions = -24.503 (log-odds).
Score = sigmoid(-24.503) = 0.
Feature contributions
| Feature | Value | Contribution (log-odds) |
|---|---|---|
| Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right. | 0 | −0.804 |
| Identifier layout (horizontal)How rapidly the visual pattern of identifier characters changes from left to right. It measures spatial frequency, not the meaning of the names. | 69.906 | +0.704 |
| Number layout frequencyHow rapidly the number of numeric values per line changes through the code. | 1 | +0.398 |
| Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code. | 26 | +0.116 |
| Indentation frequencyHow rapidly indentation changes from line to line. | 24 | +0.093 |
| Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *. | 0.106 | −0.091 |
| Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom. | 30.563 | +0.017 |
Intercept 0.07 + feature contributions = 0.503 (log-odds).
Score = sigmoid(0.503) = 0.623.
| Score | 0.467 |
|---|
| Score | 23 |
|---|
Run 1
The code is simple and easy to understand. The class follows a clear structure: constructor and cache methods aligned with the base interface. Nesting is flat, with no conditionals or loops. Each method has a clear purpose, and action granularity is good—one action per line. The repeated validation call is concise but could be considered redundant; a helper or comment might clarify intent. Method names match the standard cache API, which improves reading flow for familiar Django developers. The constructor is minimal but currently ignores the 'host' parameter, which is slightly ambiguous. Overall, the code is clean and readable, though not self-documenting regarding the dummy behavior.
Run 2
The code is highly readable. It has a clear, flat structure with one method per action, consistent patterns, and minimal nesting. Each method's intent is obvious: validate the key and return a dummy result. The code is concise, avoids unnecessary logic, and follows Django cache backend conventions. Minor deductions: the unused `host` parameter in `__init__` and redundant `super().__init__` call slightly reduce clarity, and the `set` method lacks an explicit return (allowing `None`), but these are minor. Overall, it reads naturally and is easy to follow.
Run 3
The code is highly readable. It defines a minimal dummy cache backend with a clear structure: each method is short, flat, and maps directly to the expected cache interface. Nesting is nonexistent, and the reading flow follows a logical, predictable order. Each method performs essentially one action—validating the key—making action granularity clear and consistent. The intent of the class is obvious: it's a no-op cache for testing or fallback scenarios. Minor deductions: the unused `host` parameter in `__init__` is slightly ambiguous, and the class lacks a docstring explaining its purpose. Otherwise, the code is concise, well-organized, and easy to follow.
Run 1
Code Structure: A single, logically organized class groups standard cache operations into small methods. Nesting: Flat method bodies contain no nested control flow. Clarity of intent: DummyCache and familiar method names clearly suggest a no-op cache, although a brief docstring could explain its return values and unused parameters. Code length: Concise; repeated key validation is straightforward and keeps each operation self-contained. Action granularity: Each line performs one action. Reading flow: Consistent signatures, formatting, and validation-first behavior make the class easy to scan from initialization through cache operations.
Run 2
Code Structure: A single class cleanly groups cache-interface methods. Nesting: Methods are flat, with no branches or loops. Clarity of intent: DummyCache and familiar method names convey a no-op cache, although a brief docstring could explain validation-only behavior and unused parameters. Code length: Short method bodies keep the implementation concise; repeated validation is appropriate for the interface. Action granularity: Each line performs one action, with validation and returns separated. Reading flow: Consistent signatures, spacing, and method patterns make the code easy to scan and understand.
Run 3
Code Structure: A single, logically organized class groups standard cache operations into separate methods. Nesting: Methods are flat, with no nested conditionals or loops. Clarity of intent: DummyCache and familiar method names clearly suggest a no-op cache, although a brief docstring would clarify the intentionally unused parameters and return behavior. Code length: The implementation is concise; repeated key validation is appropriate for independent interface methods. Action granularity: Each line performs one straightforward action. Reading flow: Consistent signatures, spacing, and validation patterns make the code easy to scan and follow.