Sample
pyint-ce609f6e0dcb-I12
Inline all eligible single-use intermediate local variables
Scores
| Method | Score | Scale |
|---|---|---|
| Posnett | 0 | 0–1; higher is more readable |
| Dorn | 0.837 | 0–1; higher is more readable |
| Mi | 0.279 | 0–1; higher is more readable |
| LLOC | 18 | 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 | 0.668 | 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. | 594.341 | −19.613 |
| Source linesThe number of non-empty source lines. | 23 | +9.2 |
| Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value. | 4.582 | −6.872 |
Intercept 8.87 + feature contributions = -8.416 (log-odds).
Score = sigmoid(-8.416) = 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. | 70.917 | +0.661 |
| Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *. | 0.041 | +0.539 |
| 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. | 24 | +0.187 |
| Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom. | 22.917 | −0.09 |
| Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right. | 44.417 | −0.088 |
| Indentation frequencyHow rapidly indentation changes from line to line. | 20 | −0.045 |
Intercept 0.07 + feature contributions = 1.633 (log-odds).
Score = sigmoid(1.633) = 0.837.
| Score | 0.279 |
|---|
| Score | 18 |
|---|
Run 1
The code is well-structured with clear imports, a class definition, and an __init__ method that handles loader setup cleanly. Nesting is minimal; there is only one conditional at a shallow level. Intent is clear from the docstring and method logic—customizing Jinja's environment for Flask blueprints. The length is concise but complete. Action granularity is appropriate: each line performs a single clear action. Reading flow is natural, moving from imports to class definition to method logic. Minor deductions: the conditional could be slightly more explicit about its purpose, and typing could be more specific (e.g., using a protocol for app), but overall readability is high.
Run 2
The code is highly readable. It has a clear, single-purpose class with a well-documented docstring explaining its Flask-specific behavior. Imports are logically grouped and use explicit names. The __init__ method is concise, with a simple conditional and clear delegation. Nesting is minimal—only one level—and each step is a distinct action. Type hints and future annotations maintain clarity.
Run 3
The code is clean and highly readable. It uses clear imports with alphabetical ordering, type hints, and a well-documented class purpose. The `__init__` method is concise, with a single conditional ensuring a loader is provided, followed by the parent initialization and a simple attribute assignment. Nesting is minimal, and each logical action is clearly separated. The use of `t.Any` and explicit class inheritance adds clarity without unnecessary verbosity. Overall, the structure is logical, intent is obvious, and the reading flow is natural.
Run 1
Code Structure: Imports followed by a small subclass and initializer provide logical organization, though several imports are unused in this snippet. Nesting: Only one shallow conditional makes the code easy to scan. Clarity of intent: The initializer clearly supplies a default loader and stores the application, but App is not imported or defined here, and the docstring describes blueprint behavior not directly shown. Code length: The implementation is concise, with minimal boilerplate. Action granularity: Each statement performs one distinct action. Reading flow: Execution proceeds naturally from loader configuration to superclass initialization and application storage; additional blank lines between imports and the class would improve visual separation.
Run 2
Code Structure: Imports and a focused environment subclass are logically organized, though several imports are unused in this snippet. Nesting: A single conditional keeps nesting shallow. Clarity of intent: Descriptive names, type annotations, and a class docstring explain the Flask-specific extension; however, the docstring describes blueprint behavior not directly visible here, and App is not defined or imported in the snippet. Code length: The implementation is concise without redundant logic. Action granularity: Each statement performs one clear action. Reading flow: The constructor naturally progresses from supplying a default loader to initializing the base environment and storing the application.
Run 3
Code Structure: Imports and a single focused class are logically organized, although several imports are unused in this snippet. Nesting: Only one shallow conditional, making control flow easy to follow. Clarity of intent: Descriptive names, type annotations, and a docstring explain the Flask-aware environment and default loader setup; however, App is not defined or imported in the snippet, and the docstring describes behavior not directly shown. Code length: The implementation is concise without unnecessary logic. Action granularity: Each statement performs one clear action. Reading flow: Initialization proceeds naturally from selecting a loader to initializing the base environment and storing the application. Additional blank lines between import groups and before the class would improve visual separation.