Sample
pyint-2f2229d34ea8-I13
Lower every eligible synchronous for loop to a while loop
Scores
| Method | Score | Scale |
|---|---|---|
| Posnett | 0 | 0–1; higher is more readable |
| Dorn | 0.668 | 0–1; higher is more readable |
| Mi | 0.569 | 0–1; higher is more readable |
| LLOC | 18 | Logical lines; fewer is more readable |
| DeepSeek V4 Pro | 17 | 0–20; mean of three runs |
| GPT-6.1 Sol | 17 | 0–20; mean of three runs |
| BTTF | 0.453 | 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. | 660.331 | −21.791 |
| Source linesThe number of non-empty source lines. | 22 | +8.8 |
| Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value. | 4.71 | −7.065 |
Intercept 8.87 + feature contributions = -11.186 (log-odds).
Score = sigmoid(-11.186) = 0.
Feature contributions
| Feature | Value | Contribution (log-odds) |
|---|---|---|
| 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. | 59.957 | +1.126 |
| Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right. | 0 | −0.804 |
| Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *. | 0.071 | +0.253 |
| Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code. | 23 | +0.222 |
| Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom. | 21.754 | −0.106 |
| Number layout frequencyHow rapidly the number of numeric values per line changes through the code. | 22 | −0.084 |
| Indentation frequencyHow rapidly indentation changes from line to line. | 22 | +0.024 |
Intercept 0.07 + feature contributions = 0.7 (log-odds).
Score = sigmoid(0.7) = 0.668.
| Score | 0.569 |
|---|
| Score | 18 |
|---|
Run 1
The code is highly readable with a clear, logical structure. The class PassList inherits from JSONTag and implements its interface cleanly, with each method performing a distinct action. Nesting is minimal, and the code is concise, avoiding unnecessary length. Intent is evident: the class handles serialization of list types by tagging each item. Action granularity is appropriate, with one clear operation per line, and the reading flow follows a natural sequence from type checking to serialization. Minor deductions are for the redundant tag = to_json assignment, which is slightly ambiguous without context, but overall the code is well-organized and easy to follow.
Run 2
The code is generally clear and well-organized, with logical imports and a concise class definition. Structure is clean, and nesting is minimal. Intent is fairly clear: it serializes list values to JSON using a serializer's tagging mechanism. However, readability is slightly reduced by a few issues: 'tag = to_json' is a bit ambiguous without context, and 'check' and 'to_json' lack docstrings explaining their roles. Some imports (e.g., datetime, UUID, Markup, http_date, parse_date, loads, b64decode) appear unused here, which adds noise. Action granularity and reading flow are good, but the unused imports and minor ambiguity keep the score from being higher.
Run 3
The code is highly readable with a clear, logical structure. It uses modular imports, a focused class definition with a single responsibility, and flat nesting. Each method is short and expresses a single action, making intent obvious. The `tag = to_json` alias is a minor point of ambiguity—its purpose isn't immediately apparent without additional context—but overall naming is descriptive and the flow is natural. The code length is concise, with no unnecessary complexity or repetition.
Run 1
Code Structure: The class is logically organized into a type check, conversion method, and alias, though numerous unused imports add clutter. Nesting: Methods are flat, with a simple list comprehension and no deeply nested control flow. Clarity of intent: Method names and the list check clearly suggest list serialization, but JSONTag and self.serializer are not defined in the snippet, and tag = to_json requires familiarity with method aliasing. Code length: The implementation is concise, although the import section is disproportionately long. Action granularity: Each line performs one clear action; the comprehension compactly expresses a single transformation. Reading flow: The class reads naturally from validation to conversion, but missing surrounding context and unnecessary imports slightly interrupt comprehension.
Run 2
Code Structure: The class is logically organized into type checking and serialization methods, though numerous unused imports distract from the small implementation. Nesting: Methods are flat, with only a straightforward list comprehension. Clarity of intent: Method names and isinstance make the purpose clear, but JSONTag is not defined or imported in the snippet, and the tag alias and serializer dependency require external context. Code length: The class is concise, although the import section is disproportionately long. Action granularity: Each statement performs a single clear action; the comprehension compactly expresses element-wise tagging. Reading flow: Imports followed by a class and short methods provide a natural progression, but minimal spacing between sections and the unexplained alias slightly reduce readability.
Run 3
Code Structure: A small class cleanly groups type checking and serialization, though numerous unused imports add clutter and JSONTag is not defined or imported in the snippet. Nesting: Minimal nesting and a straightforward list comprehension make the code easy to scan. Clarity of intent: Method names and the isinstance check clearly convey list handling, but PassList and the tag alias assume familiarity with the surrounding serialization framework. Code length: The class is concise; the import section is disproportionately long for the functionality shown. Action granularity: Each statement performs a single clear action, with the comprehension compactly expressing element-wise tagging. Reading flow: Methods follow a natural check-then-convert sequence, although import clutter and limited spacing between imports and the class slightly interrupt the flow.