Sample
pyint-c8f8ddfc91f4-I05
Rewrite eligible decimal integer literals in hexadecimal notation
Scores
| Method | Score | Scale |
|---|---|---|
| Posnett | 0 | 0–1; higher is more readable |
| Dorn | 0.492 | 0–1; higher is more readable |
| Mi | 0.306 | 0–1; higher is more readable |
| LLOC | 37 | Logical lines; fewer is more readable |
| DeepSeek V4 Pro | 15.67 | 0–20; mean of three runs |
| GPT-6.1 Sol | 18 | 0–20; mean of three runs |
| BTTF | 0.451 | 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. | 1995.387 | −65.848 |
| Source linesThe number of non-empty source lines. | 97 | +38.8 |
| Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value. | 4.602 | −6.904 |
Intercept 8.87 + feature contributions = -25.081 (log-odds).
Score = sigmoid(-25.081) = 0.
Feature contributions
| Feature | Value | Contribution (log-odds) |
|---|---|---|
| Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code. | 96 | −2.363 |
| Indentation frequencyHow rapidly indentation changes from line to line. | 50 | +0.992 |
| Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom. | 96.876 | +0.944 |
| Number layout frequencyHow rapidly the number of numeric values per line changes through the code. | 50 | −0.727 |
| Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right. | 87.98 | +0.615 |
| Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *. | 0.046 | +0.494 |
| 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. | 87.949 | −0.06 |
Intercept 0.07 + feature contributions = -0.034 (log-odds).
Score = sigmoid(-0.034) = 0.492.
| Score | 0.306 |
|---|
| Score | 37 |
|---|
Run 1
Code reads fairly naturally overall, but has some readability issues. The structure is coherent class-based design; however, the method _prepare_response_obj uses a terse, non-obvious '0x1' style conditionals, harming clarity. Nesting is shallow (acceptable). Intent is mostly clear via docstrings, but response() and dumps/loads being abstract lacks explicit abstractmethod decoration, subtle ambiguity. Length is appropriate, though the response class could be more direct. Action granularity is generally one action per line. The code mixes JSON serialization with Flask response creation without a visible import for App/Response types, adding to ambiguity. Docstrings are helpful but verbose in places. Overall: clean but somewhat cryptic in the shortest method.
Run 2
The code is highly readable with clear structure, minimal nesting, and well-documented intent. Each method has a single responsibility and most lines perform one action. Docstrings thoroughly explain parameters and behavior. Minor deductions: the hexadecimals in `_prepare_response_obj` (0x1, 0x0) are unnecessarily obscure compared to standard integers, and the `load`/`loads` split adds slight repetition. The `response` method has moderate complexity with multiple positional/keyword argument combinations, but remains understandable. Overall, this is production-quality code with strong readability.
Run 3
The code is highly readable with a clear, logical structure. It uses flat nesting, minimal lines per action, and explicit type hints. Each method has a single responsibility, and docstrings clearly explain intent. The use of blank lines and imports contributes to good reading flow. Minor deductions: hex literals (`0x1`, `0x0`) are slightly less intuitive than decimal, and weakref.proxy may be unclear to novices without reading the docstring, but these are minor issues in an otherwise exemplary implementation.
Run 1
Code Structure: Methods are logically organized within a focused provider class, with response argument handling extracted into a helper. Nesting: Flat conditionals and early returns keep nesting minimal. Clarity of intent: Descriptive names, type annotations, and detailed docstrings explain behavior well; hexadecimal literals 0x1 and 0x0 unnecessarily obscure ordinary counts and indices, and App and Response are not defined or imported in this snippet. Code length: Implementations are concise, although documentation occupies much of the code. Action granularity: Each line generally performs one clear action; composed serialization and file operations remain straightforward. Reading flow: The progression from serialization to deserialization and response creation is natural, though additional spacing between imports and the class would improve presentation.
Run 2
Code Structure: Methods are logically grouped within a cohesive provider class, with response preparation extracted into a helper. Nesting: Flat conditionals and early returns make control flow easy to follow. Clarity of intent: Descriptive names, type annotations, and detailed docstrings clearly communicate responsibilities; hexadecimal literals 0x1 and 0x0 unnecessarily obscure ordinary length and index values. App and Response are not defined or imported in the snippet, reducing self-contained clarity. Code length: Implementations are concise, although documentation is substantially longer than the executable code. Action granularity: Each statement performs a focused operation without packing unrelated actions onto one line. Reading flow: Serialization, deserialization, and response construction follow a natural progression. Unused imports and limited spacing between imports and the class add minor visual noise.
Run 3
Code Structure: Methods are logically grouped in a cohesive provider class, with response argument handling extracted into a helper. Nesting: Flat methods and early returns make control flow easy to follow. Clarity of intent: Descriptive names, type annotations, and thorough docstrings clearly explain serialization and response behavior; hexadecimal literals for ordinary indices and counts are unnecessarily distracting, and App and Response are not defined in the snippet. Code length: Implementations are concise; documentation is lengthy but useful, while several unused imports add clutter. Action granularity: Each statement generally performs one clear action, with straightforward delegation. Reading flow: The progression from serialization to file operations and response construction is natural, though import grouping and spacing before the class could be improved.