Sample
pyint-39d5335b9c18-I13
Lower every eligible synchronous for loop to a while loop
Scores
| Method | Score | Scale |
|---|---|---|
| Posnett | 0 | 0–1; higher is more readable |
| Dorn | 0.492 | 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 | 18 | 0–20; mean of three runs |
| GPT-6.1 Sol | 18 | 0–20; mean of three runs |
| BTTF | 0.609 | 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. | 4.596 | −6.894 |
Intercept 8.87 + feature contributions = -25.072 (log-odds).
Score = sigmoid(-25.072) = 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. | 96.865 | +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 | +0.493 |
| 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. | 87.929 | −0.059 |
Intercept 0.07 + feature contributions = -0.034 (log-odds).
Score = sigmoid(-0.034) = 0.492.
| Score | 0.306 |
|---|
| Score | 37 |
|---|
Run 1
The code is highly readable due to its clear logical organization, with a well-documented class and methods that each serve a distinct purpose. Nesting is minimal, keeping the flow straightforward. Intent is explicit through descriptive method names and comprehensive docstrings, complemented by type hints. Code length is concise—each method is short and focused, avoiding unnecessary verbosity. Action granularity is excellent, with one primary action per line, such as the step-by-step checks in _prepare_response_obj. Reading flow is natural, progressing from initialization to serialization, deserialization, and response creation. Overall, this is exemplary Python code.
Run 2
The code is highly readable, with clear structure, concise methods, and well-documented intent. Each method has a single responsibility and uses type hints effectively. Nesting is minimal and flat; the only conditional block is cleanly separated into three simple checks. The `_prepare_response_obj` method is short and easy to follow, with one action per line. Docstrings explain purpose and parameters, aiding understanding. Minor drawbacks: some type hints (e.g., `App`, `Response`) rely on names not imported in this snippet, which could confuse newcomers, and the `return args or kwargs` line's intent is slightly implicit. Overall, excellent readability with only minuscule room for improvement.
Run 3
The code is highly readable with a logical class-based structure, clear separation of concerns, and consistent method-level granularity. Each method has a single purpose and executes one primary action. The nesting depth is minimal, limited to one or two levels within `_prepare_response_obj`. Type hints and thorough docstrings clarify intent. The code is concise yet provides necessary context, with no redundant or overly verbose sections. The reading flow is natural, following a top-down progression from initialization to serialization, file handling, and response preparation. Overall, the code adheres to strong readability principles.
Run 1
Code Structure: Methods are logically grouped within a focused provider class, with response argument handling extracted into a helper. Nesting: Minimal nesting and early returns make control flow easy to follow. Clarity of intent: Descriptive method names, type annotations, and detailed docstrings clearly explain serialization and response behavior; however, App and Response are not defined or imported in the snippet. Code length: Implementations are concise, although documentation accounts for much of the length. Action granularity: Statements generally perform one clear action per line; composed calls remain simple and readable. Reading flow: The progression from serialization/deserialization methods to response preparation and construction is natural. Additional spacing between imports and the class, and clearer separation of import groups, would slightly improve presentation.
Run 2
Code Structure: Logically organized into a provider class with focused serialization, file I/O, and response methods. Nesting: Very shallow, with straightforward guard clauses. Clarity of intent: Descriptive method names, type annotations, and detailed docstrings make responsibilities clear; however, App and Response are not defined or imported in the snippet, and several imports are unused. Code length: Implementations are concise, although documentation occupies much of the snippet. Action granularity: Statements generally perform one clear action, with simple composed calls that remain easy to understand. Reading flow: Methods progress naturally from serialization to deserialization and response preparation, with consistent formatting and predictable control flow.
Run 3
Code Structure: Methods are logically grouped within a provider abstraction, with shared argument handling extracted into a helper. Nesting: Flat control flow and early returns make branches easy to follow. Clarity of intent: Descriptive method names, type annotations, and detailed docstrings explain responsibilities well; App and Response lack visible definitions or imports, slightly reducing standalone clarity. Code length: Implementations are concise, although extensive documentation and several unused imports add visual bulk. Action granularity: Statements generally perform one clear action, with straightforward serialization and file-operation compositions. Reading flow: The progression from initialization through serialization, deserialization, and response creation is natural, aided by consistent formatting and method separation.