Sample

pyint-2a111e7f467d-I01

Remove comments and docstrings

Matched original source

Lines50

Scores

MethodScoreScale
Posnett00–1; higher is more readable
Dorn0.220–1; higher is more readable
Mi0.4110–1; higher is more readable
LLOC31Logical lines; fewer is more readable
DeepSeek V4 Pro16.330–20; mean of three runs
GPT-6.1 Sol170–20; mean of three runs
BTTF0.5250–1; higher is more readable

Views

Source code

from __future__ import annotations import dataclasses import decimal import json import typing as t import uuid import weakref from datetime import date from werkzeug.http import http_date class JSONProvider: def __init__(self, app: App) -> None: self._app: App = weakref.proxy(app) def dumps(self, obj: t.Any, **kwargs: t.Any) -> str: raise NotImplementedError def dump(self, obj: t.Any, fp: t.IO[str], **kwargs: t.Any) -> None: fp.write(self.dumps(obj, **kwargs)) def loads(self, s: str | bytes, **kwargs: t.Any) -> t.Any: raise NotImplementedError def load(self, fp: t.IO[t.AnyStr], **kwargs: t.Any) -> t.Any: return self.loads(fp.read(), **kwargs) def _prepare_response_obj( self, args: tuple[t.Any, ...], kwargs: dict[str, t.Any] ) -> t.Any: if args and kwargs: raise TypeError("app.json.response() takes either args or kwargs, not both") if not args and not kwargs: return None if len(args) == 1: return args[0] return args or kwargs def response(self, *args: t.Any, **kwargs: t.Any) -> Response: obj = self._prepare_response_obj(args, kwargs) return self._app.response_class(self.dumps(obj), mimetype="application/json")

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Source regions

Feature contributions

Feature contributions

FeatureValueContribution
(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.1923.903−63.489
Source linesThe number of non-empty source lines.50+20
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.4.567−6.85

Intercept 8.87 + feature contributions = -41.469 (log-odds).
Score = sigmoid(-41.469) = 0.

Feature contributions

FeatureValueContribution
(log-odds)
Indentation frequencyHow rapidly indentation changes from line to line.50+0.992
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.0−0.804
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.51−0.769
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.50−0.727
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.49.876+0.287
Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *.0.123−0.254
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.87.98−0.061

Intercept 0.07 + feature contributions = -1.266 (log-odds).
Score = sigmoid(-1.266) = 0.22.

Score0.411
Score31
Run 1

The code is generally well-structured and readable. It uses clear imports, type hints, and docstrings. Methods have single responsibilities (dumps, dump, loads, load, response), and the _prepare_response_obj helper cleanly separates argument validation from response creation. Nesting is minimal with no deep indentation. The reading flow is natural, with related methods grouped together. Minor deductions: the duplicated NotImplementedError methods could be abstract methods, and some blank lines feel excessive. The _prepare_response_obj method has multiple conditional returns that could be slightly clearer with comments or restructuring, but the logic remains followable. Overall, the code is clean, purposeful, and easy to understand.

Run 2

The code demonstrates strong readability. Structure is logical, with related methods grouped and helpers separated. Nesting is minimal, with clear early returns in _prepare_response_obj. Intent is mostly clear: type hints, docstring placeholders, and method naming (dumps/loads/response) follow common JSON provider patterns. Code length is concise, avoiding unnecessary verbosity. Each method performs a single responsibility with clean delegation (dump delegates to dumps; load to loads). Reading flow is natural, moving from serialization to deserialization to response preparation. Minor deductions: empty method bodies with only NotImplementedError lack explanatory docstrings, and _prepare_response_obj's final line (return args or kwargs) is slightly terse, though the preceding validation makes it understandable. Overall this is highly maintainable Python code.

Run 3

The code is generally readable with clear class structure and logical organization. Each method has a single responsibility, and type hints improve clarity. Nesting is minimal, with only one level in the conditional checks. However, the score is reduced because two methods raise NotImplementedError without explanatory docstrings, making the abstract intent ambiguous. The `_prepare_response_obj` method has multiple return paths and slightly dense conditionals that interrupt reading flow. Action granularity is mostly good, but some lines combine logic and comments are sparse. Overall, the code is understandable but could benefit from additional documentation and minor refactoring for smoother flow.

Run 1

Code Structure: Methods are logically organized around serialization, deserialization, and response creation, with shared argument handling extracted into a helper. Nesting: Flat control flow and early returns make the code easy to scan. Clarity of intent: Descriptive method names and type annotations convey purpose, although missing documentation leaves argument semantics and subclass expectations implicit; App and Response are not defined in the snippet. Code length: The implementation is concise, but unused imports and excessive blank lines add clutter. Action granularity: Each statement performs a focused action, with no compressed multi-statement lines. Reading flow: Serialization and deserialization pairs lead naturally into response preparation and construction, though inconsistent whitespace interrupts the otherwise clear flow.

Run 2

Code Structure: Methods are logically organized around serialization, file operations, and response creation, with argument normalization separated into a helper. Nesting: Flat control flow and early returns make the code easy to follow. Clarity of intent: Descriptive method names and type annotations communicate purpose, but absent documentation, unexplained App and Response types, and unused imports reduce clarity. Code length: The implementation is concise, although unnecessary imports and empty whitespace add clutter. Action granularity: Statements generally perform one action per line; nested calls in the file and response methods remain straightforward. Reading flow: The progression from basic operations to response handling is natural, but excessive blank lines within methods interrupt the visual flow.

Run 3

Code Structure: Methods are logically organized around serialization, file operations, and response creation, with argument handling isolated in a helper. Nesting: Flat control flow and early returns make branching easy to follow. Clarity of intent: Descriptive names and type annotations communicate purpose, although missing documentation and undefined App and Response types in the snippet reduce context. Code length: The implementation is concise, but unused imports and excessive blank lines add clutter. Action granularity: Statements generally perform one clear action; short composed calls remain readable. Reading flow: Related methods are grouped naturally, and response construction follows argument preparation cleanly. Overall, the code is highly readable with minor contextual and formatting shortcomings.