Source code
from __future__ import annotations
import abc
import contextlib
import enum
import itertools
import linecache
import sys
import types
import unicodedata
import weakref
from collections.abc import Callable, Mapping
from functools import cached_property
from typing import Any, NamedTuple, TypeVar
from . import _compat, _config, setters
from ._compat import (
PY_3_11_PLUS,
PY_3_13_PLUS,
_AnnotationExtractor,
_get_annotations,
_lazy_is_generator,
get_generic_base,
)
from .exceptions import (
DefaultAlreadySetError,
FrozenInstanceError,
NotAnAttrsClassError,
UnannotatedAttributeError,
)
class _CacheHashWrapper(int):
def __reduce__(self, _none_constructor=type(None), _args=()):
return _none_constructor, _args
Run 1
The code shows a reasonable import structure with clear grouping of standard library, third-party, and local modules, but falls short in several key areas. The class `_CacheHashWrapper` has an unclear purpose, excessive blank lines, and a method signature with unnecessary default parameters that obscure intent. The `__reduce__` method compresses multiple actions into a single line, violating action granularity. Nesting is minimal, but reading flow is disrupted by formatting inconsistencies and lack of documentation. Overall, while the imports are organized, the class implementation is ambiguous and would benefit from clearer naming, docstrings, and better line-level clarity.
Run 2
The code begins with a standard set of imports, which is fine, but the class definition that follows is confusing and incomplete. The class `_CacheHashWrapper` inherits from `int` but contains an empty initial method body (just a blank line), which makes its purpose unclear. The `__reduce__` method has multiple parameters on one line and uses unclear naming like `_none_constructor` and `_args` without context. The method body is crammed onto a single line, violating action granularity. There is excessive blank vertical space, inconsistent indentation, and no docstrings or comments explaining intent. The code appears to be a fragment, lacking surrounding logic that would make the wrapper's role comprehensible. Overall, the structure is disorganized, nesting is minimal but not meaningful, intent is ambiguous, and reading flow is poor.
Run 3
The code demonstrates good structure with clear sectioning through imports and a single class definition. Nesting is minimal with flat, readable structure. Import organization is logical, grouping standard library, third-party, and local modules appropriately. The class inherits from int and implements __reduce__, showing clear intent for hash caching behavior. However, readability is slightly impacted by the unconventional formatting in the method definition - the excessive whitespace before the return statement and the unusual parameter naming pattern (_none_constructor, _args) with underscore prefixes is non-standard. The empty line with trailing whitespace after the class definition is unnecessary. While concise overall, the import block is lengthy for what appears to be a utility module, making it somewhat verbose. The parameter names could be more descriptive, and the method signature formatting with multiple spaces before the return statement breaks conventional Python style. Overall, the code is readable but has minor stylistic inconsistencies that prevent it from being exemplary.
Run 1
1. Code Structure: Imports precede a small, self-contained class, providing logical organization, though many imports are unused in this snippet. 2. Nesting: Minimal nesting makes the code easy to scan. 3. Clarity of intent: The class name suggests hash caching, but the purpose of overriding __reduce__ to reconstruct None is not explained; unusual default arguments also obscure intent. 4. Code length: The implementation is concise, but the import block is disproportionate to the shown functionality. 5. Action granularity: Each statement performs one action, with no compressed multi-action lines. 6. Reading flow: The progression from imports to class to method is natural, although extra blank lines, trailing whitespace, and missing explanatory documentation reduce polish.
Run 2
Code Structure: Imports are grouped sensibly before a small class, though many imports are unused in this snippet. Nesting: Minimal nesting makes the code easy to scan. Clarity of intent: The class name suggests hash caching, but the purpose of overriding __reduce__ to reconstruct None is not explained; underscored default parameters add ambiguity. Code length: The implementation is concise, but the extensive import block dominates the small amount of functional code. Action granularity: Each import or statement occupies its own line, and the return expression is simple. Reading flow: The overall order is conventional, but excessive blank space inside the class and trailing whitespace reduce polish. A short explanation of the serialization behavior would improve readability.
Run 3
Code Structure: Imports are grouped before a single, logically isolated class, but numerous unused imports clutter this small snippet. Nesting: Very shallow, with only a class and its method. Clarity of intent: The class and method names suggest hash wrapping and serialization behavior, but the purpose of returning a None constructor is not explained, and the default parameters are cryptic. Code length: The implementation is concise, though the import block is disproportionately long. Action granularity: Each statement performs one action, and the return expression is simple. Reading flow: Straightforward top-to-bottom flow is weakened by excessive blank space, trailing whitespace, and limited separation between import groups.