Sample
pyint-919f1cac410f-I11
Split eligible integer literals into pairs of short-named intermediate variables
Scores
| Method | Score | Scale |
|---|---|---|
| Posnett | 0 | 0–1; higher is more readable |
| Dorn | 0.589 | 0–1; higher is more readable |
| Mi | 0.615 | 0–1; higher is more readable |
| LLOC | 44 | Logical lines; fewer is more readable |
| DeepSeek V4 Pro | 17.33 | 0–20; mean of three runs |
| GPT-6.1 Sol | 18 | 0–20; mean of three runs |
| BTTF | 0.677 | 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. | 2844.331 | −93.863 |
| Source linesThe number of non-empty source lines. | 83 | +33.2 |
| Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value. | 4.669 | −7.004 |
Intercept 8.87 + feature contributions = -58.796 (log-odds).
Score = sigmoid(-58.796) = 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. | 84 | −1.938 |
| Indentation frequencyHow rapidly indentation changes from line to line. | 76 | +1.892 |
| Number layout frequencyHow rapidly the number of numeric values per line changes through the code. | 76 | −1.323 |
| Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom. | 82.918 | +0.749 |
| Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right. | 82.024 | +0.519 |
| Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *. | 0.068 | +0.283 |
| 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. | 83.952 | +0.109 |
Intercept 0.07 + feature contributions = 0.361 (log-odds).
Score = sigmoid(0.361) = 0.589.
| Score | 0.615 |
|---|
| Score | 44 |
|---|
Run 1
The code is well-structured and highly readable. It follows Django model conventions with clear separation of concerns. The class is organized logically: fields are grouped together, followed by the manager, constants, Meta class, and methods. Nesting is minimal — the main indentation comes from field definition arguments, which is idiomatic for Django models. Each model field and method has a clear purpose, enhanced by descriptive names and docstrings. The code is concise but not overly compressed; field definitions are multi-line for readability. Action granularity is good, with one logical operation per line. Reading flow is natural, moving from field definitions to class constants to methods. Minor issues include the unused imports at the top (e.g., `Iterable`, `apps`, `ContentType`, `PermissionDenied`, `EmptyManager`) which could be removed, and a slight inconsistency in using string formatting (`"%s %s"`) versus f-strings, but these don't significantly impact readability.
Run 2
The code is highly readable with clear logical organization and consistent formatting. The AbstractUser class is well-structured, with fields, managers, and methods grouped logically. Nesting is minimal, and each model field is clearly separated with descriptive help_text and error_messages. The intent is evident from the class docstring and method names. Code length is appropriate — each field declaration follows Django conventions without unnecessary verbosity. Action granularity is appropriate, with one logical operation per line. Reading flow is natural: imports, class definition, fields in logical order, then methods in order of increasing complexity. Minor deductions: some field definitions could be slightly more compact, and the get_full_name method uses deprecated string formatting, but these don't significantly impact readability.
Run 3
The code is highly readable, with clear imports, logical grouping of fields and methods, and consistent formatting. It uses descriptive names and Django conventions effectively. The ordering of fields is logical, and each field declaration is cleanly separated. Methods are short, focused, and well-documented. Minor readability deductions could be made for the somewhat verbose field declarations and the multiple nested parentheses in those declarations, which slightly interrupt the reading flow. Overall, the structure is flat, intent is clear, and no unnecessary complexity is present.
Run 1
Code Structure: Well organized into imports, model fields, configuration, metadata, and methods. Nesting: Shallow, with indentation mainly for field arguments and the Meta class. Clarity of intent: Descriptive names, docstrings, and help text clearly communicate purpose; however, PermissionsMixin and UserManager are not defined or imported in the snippet. Code length: Appropriately concise for a declarative Django model, though several unused imports add clutter. Action granularity: Statements generally perform one action each, and multiline field declarations make options easy to scan. Reading flow: Natural progression from model definition to utility methods, supported by consistent formatting and spacing.
Run 2
Code Structure: Fields, manager, configuration, metadata, and methods are logically grouped. Nesting: Minimal nesting; multiline field declarations remain easy to follow. Clarity of intent: Descriptive names, docstrings, and field help text clearly explain the model, though PermissionsMixin and UserManager are not defined or imported in the snippet. Code length: Appropriate for a declarative Django model, but numerous unused imports add clutter. Action granularity: Each statement performs a single clear action; multiline declarations improve legibility. Reading flow: The progression from model fields to configuration and behavior is natural and consistent. Overall, highly readable, with minor distractions from imports and unresolved dependencies.
Run 3
Code Structure: Fields, manager, configuration, metadata, and methods are logically grouped. Nesting: Shallow nesting makes the class easy to scan; multiline field definitions remain clear. Clarity of intent: Descriptive names, docstrings, and help text explain the model and its methods well, although PermissionsMixin and UserManager are undefined in the supplied snippet. Code length: Mostly concise, with justified verbosity for field configuration, but several unused imports add clutter. Action granularity: Statements generally perform one action each, with no compressed multi-action lines. Reading flow: The progression from model declarations to behavior is natural and consistent. Minor import clutter and missing dependency definitions prevent a top score.