Sample

pyint-560ba6237620-I08

Select one of ten high-readability unrelated code templates per class

Matched original source

Lines639

Scores

MethodScoreScale
Posnett00–1; higher is more readable
Dorn0.0020–1; higher is more readable
Mi0.7250–1; higher is more readable
LLOC294Logical lines; fewer is more readable
DeepSeek V4 Pro15.670–20; mean of three runs
GPT-6.1 Sol150–20; mean of three runs
BTTF0.3040–1; higher is more readable

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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 _ClassBuilder: """ Iteratively build *one* class. """ __slots__ = ( "_add_method_dunders", "_attr_names", "_attrs", "_base_attr_map", "_base_names", "_cache_hash", "_cls", "_cls_dict", "_delete_attribs", "_frozen", "_has_custom_setattr", "_has_post_init", "_has_pre_init", "_is_exc", "_on_setattr", "_pre_init_has_args", "_repr_added", "_script_snippets", "_slots", "_weakref_slot", "_wrote_own_setattr", ) def __init__( self, cls: type, these, auto_attribs: bool, props: ClassProps, has_custom_setattr: bool, ): attrs, base_attrs, base_map = _transform_attrs( cls, these, auto_attribs, props.kw_only, props.collected_fields_by_mro, props.field_transformer, ) self._cls = cls self._cls_dict = dict(cls.__dict__) if props.is_slotted else {} self._attrs = attrs self._base_names = {a.name for a in base_attrs} self._base_attr_map = base_map self._attr_names = tuple(a.name for a in attrs) self._slots = props.is_slotted self._frozen = props.is_frozen self._weakref_slot = props.has_weakref_slot self._cache_hash = ( props.hashability is ClassProps.Hashability.HASHABLE_CACHED ) self._has_pre_init = bool(getattr(cls, "__attrs_pre_init__", False)) self._pre_init_has_args = False if self._has_pre_init: # Check if the pre init method has more arguments than just `self` # We want to pass arguments if pre init expects arguments import inspect pre_init_func = cls.__attrs_pre_init__ pre_init_signature = inspect.signature(pre_init_func) self._pre_init_has_args = len(pre_init_signature.parameters) > 1 self._has_post_init = bool(getattr(cls, "__attrs_post_init__", False)) self._delete_attribs = not bool(these) self._is_exc = props.is_exception self._on_setattr = props.on_setattr_hook self._has_custom_setattr = has_custom_setattr self._wrote_own_setattr = False self._cls_dict["__attrs_attrs__"] = self._attrs self._cls_dict["__attrs_props__"] = props if props.is_frozen: self._cls_dict["__setattr__"] = _frozen_setattrs self._cls_dict["__delattr__"] = _frozen_delattrs self._wrote_own_setattr = True elif self._on_setattr in ( _DEFAULT_ON_SETATTR, setters.validate, setters.convert, ): has_validator = has_converter = False for a in attrs: if a.validator is not None: has_validator = True if a.converter is not None: has_converter = True if has_validator and has_converter: break if ( ( self._on_setattr == _DEFAULT_ON_SETATTR and not (has_validator or has_converter) ) or (self._on_setattr == setters.validate and not has_validator) or (self._on_setattr == setters.convert and not has_converter) ): # If class-level on_setattr is set to convert + validate, but # there's no field to convert or validate, pretend like there's # no on_setattr. self._on_setattr = None if props.added_pickling: ( self._cls_dict["__getstate__"], self._cls_dict["__setstate__"], ) = self._make_getstate_setstate() # tuples of script, globs, hook self._script_snippets: list[ tuple[str, dict, Callable[[dict, dict], Any]] ] = [] self._repr_added = False # We want to only do this check once; in 99.9% of cases these # exist. if not hasattr(self._cls, "__module__") or not hasattr( self._cls, "__qualname__" ): self._add_method_dunders = self._add_method_dunders_safe else: self._add_method_dunders = self._add_method_dunders_unsafe def __repr__(self): return f"<_ClassBuilder(cls={self._cls.__name__})>" def _eval_snippets(self) -> None: """ Evaluate any registered snippets in one go. """ script = "\n".join([snippet[0] for snippet in self._script_snippets]) globs = {} for _, snippet_globs, _ in self._script_snippets: globs.update(snippet_globs) locs = _linecache_and_compile( script, _generate_unique_filename(self._cls, "methods"), globs, ) for _, _, hook in self._script_snippets: hook(self._cls_dict, locs) def build_class(self): """ Finalize class based on the accumulated configuration. Builder cannot be used after calling this method. """ self._eval_snippets() if self._slots is True: cls = self._create_slots_class() self._cls.__attrs_base_of_slotted__ = weakref.ref(cls) else: cls = abc.update_abstractmethods(self._patch_original_class()) # The method gets only called if it's not inherited from a base class. # _has_own_attribute does NOT work properly for classmethods. if ( getattr(cls, "__attrs_init_subclass__", None) and "__attrs_init_subclass__" not in cls.__dict__ ): cls.__attrs_init_subclass__() return cls def _patch_original_class(self): """ Apply accumulated methods and return the class. """ cls = self._cls base_names = self._base_names # Clean class of attribute definitions (`attr.ib()`s). if self._delete_attribs: for name in self._attr_names: if ( name not in base_names and getattr(cls, name, _SENTINEL) is not _SENTINEL ): # An AttributeError can happen if a base class defines a # class variable and we want to set an attribute with the # same name by using only a type annotation. with contextlib.suppress(AttributeError): delattr(cls, name) # Attach our dunder methods. for name, value in self._cls_dict.items(): setattr(cls, name, value) # If we've inherited an attrs __setattr__ and don't write our own, # reset it to object's. if not self._wrote_own_setattr and getattr( cls, "__attrs_own_setattr__", False ): cls.__attrs_own_setattr__ = False if not self._has_custom_setattr: cls.__setattr__ = _OBJ_SETATTR return cls def _create_slots_class(self): """ Build and return a new class with a `__slots__` attribute. """ cd = { k: v for k, v in self._cls_dict.items() if k not in (*tuple(self._attr_names), "__dict__", "__weakref__") } # 3.14.0rc2+ if hasattr(sys, "_clear_type_descriptors"): sys._clear_type_descriptors(self._cls) # If our class doesn't have its own implementation of __setattr__ # (either from the user or by us), check the bases, if one of them has # an attrs-made __setattr__, that needs to be reset. We don't walk the # MRO because we only care about our immediate base classes. # XXX: This can be confused by subclassing a slotted attrs class with # XXX: a non-attrs class and subclass the resulting class with an attrs # XXX: class. See `test_slotted_confused` for details. For now that's # XXX: OK with us. if not self._wrote_own_setattr: cd["__attrs_own_setattr__"] = False if not self._has_custom_setattr: for base_cls in self._cls.__bases__: if base_cls.__dict__.get("__attrs_own_setattr__", False): cd["__setattr__"] = _OBJ_SETATTR break # Traverse the MRO to collect existing slots # and check for an existing __weakref__. existing_slots = {} weakref_inherited = False for base_cls in self._cls.__mro__[1:-1]: if base_cls.__dict__.get("__weakref__", None) is not None: weakref_inherited = True existing_slots.update( { name: getattr(base_cls, name) for name in getattr(base_cls, "__slots__", []) } ) base_names = set(self._base_names) names = self._attr_names if ( self._weakref_slot and "__weakref__" not in getattr(self._cls, "__slots__", ()) and "__weakref__" not in names and not weakref_inherited ): names += ("__weakref__",) cached_properties = { name: cached_prop.func for name, cached_prop in cd.items() if isinstance(cached_prop, cached_property) } # Collect methods with a `__class__` reference that are shadowed in the new class. # To know to update them. additional_closure_functions_to_update = [] if cached_properties: import inspect class_annotations = _get_annotations(self._cls) for name, func in cached_properties.items(): # Add cached properties to names for slotting. names += (name,) # Clear out function from class to avoid clashing. del cd[name] additional_closure_functions_to_update.append(func) annotation = inspect.signature(func).return_annotation if annotation is not inspect.Parameter.empty: class_annotations[name] = annotation original_getattr = cd.get("__getattr__") if original_getattr is not None: additional_closure_functions_to_update.append(original_getattr) cd["__getattr__"] = _make_cached_property_getattr( cached_properties, original_getattr, self._cls ) # We only add the names of attributes that aren't inherited. # Setting __slots__ to inherited attributes wastes memory. slot_names = [name for name in names if name not in base_names] # There are slots for attributes from current class # that are defined in parent classes. # As their descriptors may be overridden by a child class, # we collect them here and update the class dict reused_slots = { slot: slot_descriptor for slot, slot_descriptor in existing_slots.items() if slot in slot_names } slot_names = [name for name in slot_names if name not in reused_slots] cd.update(reused_slots) if self._cache_hash: slot_names.append(_HASH_CACHE_FIELD) cd["__slots__"] = tuple(slot_names) cd["__qualname__"] = self._cls.__qualname__ # Create new class based on old class and our methods. cls = type(self._cls)(self._cls.__name__, self._cls.__bases__, cd) # The following is a fix for # <https://github.com/python-attrs/attrs/issues/102>. # If a method mentions `__class__` or uses the no-arg super(), the # compiler will bake a reference to the class in the method itself # as `method.__closure__`. Since we replace the class with a # clone, we rewrite these references so it keeps working. for item in itertools.chain( cls.__dict__.values(), additional_closure_functions_to_update ): if isinstance(item, (classmethod, staticmethod)): # Class- and staticmethods hide their functions inside. # These might need to be rewritten as well. closure_cells = getattr(item.__func__, "__closure__", None) elif isinstance(item, property): # Workaround for property `super()` shortcut (PY3-only). # There is no universal way for other descriptors. closure_cells = getattr(item.fget, "__closure__", None) else: closure_cells = getattr(item, "__closure__", None) if not closure_cells: # Catch None or the empty list. continue for cell in closure_cells: try: match = cell.cell_contents is self._cls except ValueError: # noqa: PERF203 # ValueError: Cell is empty pass else: if match: cell.cell_contents = cls return cls def add_repr(self, ns): script, globs = _make_repr_script(self._attrs, ns) def _attach_repr(cls_dict, globs): cls_dict["__repr__"] = self._add_method_dunders(globs["__repr__"]) self._script_snippets.append((script, globs, _attach_repr)) self._repr_added = True return self def add_str(self): if not self._repr_added: msg = "__str__ can only be generated if a __repr__ exists." raise ValueError(msg) def __str__(self): return self.__repr__() self._cls_dict["__str__"] = self._add_method_dunders(__str__) return self def _make_getstate_setstate(self): """ Create custom __setstate__ and __getstate__ methods. """ # __weakref__ is not writable. state_attr_names = tuple( an for an in self._attr_names if an != "__weakref__" ) def slots_getstate(self): """ Automatically created by attrs. """ return {name: getattr(self, name) for name in state_attr_names} hash_caching_enabled = self._cache_hash def slots_setstate(self, state): """ Automatically created by attrs. """ __bound_setattr = _OBJ_SETATTR.__get__(self) if isinstance(state, tuple): # Backward compatibility with attrs instances pickled with # attrs versions before v22.2.0 which stored tuples. for name, value in zip(state_attr_names, state, strict=False): __bound_setattr(name, value) else: for name in state_attr_names: if name in state: __bound_setattr(name, state[name]) # The hash code cache is not included when the object is # serialized, but it still needs to be initialized to None to # indicate that the first call to __hash__ should be a cache # miss. if hash_caching_enabled: __bound_setattr(_HASH_CACHE_FIELD, None) return slots_getstate, slots_setstate def make_unhashable(self): self._cls_dict["__hash__"] = None return self def add_hash(self): total_score = 240 number_of_scores = 3 average_score = total_score / number_of_scores script, globs = _make_hash_script( self._cls, self._attrs, frozen=self._frozen, cache_hash=self._cache_hash, ) def attach_hash(cls_dict: dict, locs: dict) -> None: cls_dict["__hash__"] = self._add_method_dunders(locs["__hash__"]) self._script_snippets.append((script, globs, attach_hash)) return self def add_init(self): script, globs, annotations = _make_init_script( self._cls, self._attrs, self._has_pre_init, self._pre_init_has_args, self._has_post_init, self._frozen, self._slots, self._cache_hash, self._base_attr_map, self._is_exc, self._on_setattr, attrs_init=False, ) def _attach_init(cls_dict, globs): init = globs["__init__"] init.__annotations__ = annotations cls_dict["__init__"] = self._add_method_dunders(init) self._script_snippets.append((script, globs, _attach_init)) return self def add_replace(self): # We create a local `evolve` proxy because it gets modified in place. def __replace__(*args, **changes): return evolve(*args, **changes) self._cls_dict["__replace__"] = self._add_method_dunders(__replace__) return self def add_match_args(self): self._cls_dict["__match_args__"] = tuple( field.name for field in self._attrs if field.init and not field.kw_only ) def add_attrs_init(self): script, globs, annotations = _make_init_script( self._cls, self._attrs, self._has_pre_init, self._pre_init_has_args, self._has_post_init, self._frozen, self._slots, self._cache_hash, self._base_attr_map, self._is_exc, self._on_setattr, attrs_init=True, ) def _attach_attrs_init(cls_dict, globs): init = globs["__attrs_init__"] init.__annotations__ = annotations cls_dict["__attrs_init__"] = self._add_method_dunders(init) self._script_snippets.append((script, globs, _attach_attrs_init)) return self def add_eq(self): cd = self._cls_dict script, globs = _make_eq_script(self._attrs) def _attach_eq(cls_dict, globs): cls_dict["__eq__"] = self._add_method_dunders(globs["__eq__"]) self._script_snippets.append((script, globs, _attach_eq)) cd["__ne__"] = __ne__ return self def add_order(self): cd = self._cls_dict cd["__lt__"], cd["__le__"], cd["__gt__"], cd["__ge__"] = ( self._add_method_dunders(meth) for meth in _make_order(self._cls, self._attrs) ) return self def add_setattr(self): sa_attrs = {} for a in self._attrs: on_setattr = a.on_setattr or self._on_setattr if on_setattr and on_setattr is not setters.NO_OP: sa_attrs[a.name] = ( a, on_setattr, _lazy_is_generator(on_setattr), ) if not sa_attrs: return self if self._has_custom_setattr: # We need to write a __setattr__ but there already is one! msg = "Can't combine custom __setattr__ with on_setattr hooks." raise ValueError(msg) # docstring comes from _add_method_dunders def __setattr__(self, name, val): try: a, hook, is_gen = sa_attrs[name] except KeyError: _OBJ_SETATTR(self, name, val) return if is_gen(): gen = hook(self, a, val) nval = next(gen) _OBJ_SETATTR(self, name, nval) try: next(gen) except StopIteration: return gen.close() msg = "Generator on_setattr hook yielded more than once." raise RuntimeError(msg) nval = hook(self, a, val) _OBJ_SETATTR(self, name, nval) return self._cls_dict["__attrs_own_setattr__"] = True self._cls_dict["__setattr__"] = self._add_method_dunders(__setattr__) self._wrote_own_setattr = True return self def _add_method_dunders_unsafe(self, method: Callable) -> Callable: """ Add __module__ and __qualname__ to a *method*. """ method.__module__ = self._cls.__module__ method.__qualname__ = f"{self._cls.__qualname__}.{method.__name__}" method.__doc__ = ( f"Method generated by attrs for class {self._cls.__qualname__}." ) return method def _add_method_dunders_safe(self, method: Callable) -> Callable: """ Add __module__ and __qualname__ to a *method* if possible. """ with contextlib.suppress(AttributeError): method.__module__ = self._cls.__module__ with contextlib.suppress(AttributeError): method.__qualname__ = f"{self._cls.__qualname__}.{method.__name__}" with contextlib.suppress(AttributeError): method.__doc__ = f"Method generated by attrs for class {self._cls.__qualname__}." return method

Loading feature diagnosis…

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.21668.319−715.055
Source linesThe number of non-empty source lines.639+255.6
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.4.193−6.289

Intercept 8.87 + feature contributions = -456.874 (log-odds).
Score = sigmoid(-456.874) = 0.

Feature contributions

FeatureValueContribution
(log-odds)
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.640−21.624
Indentation frequencyHow rapidly indentation changes from line to line.555+18.46
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.555−12.315
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.638.883+8.521
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.92.969+0.696
Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *.0.054+0.417
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.92.841−0.267

Intercept 0.07 + feature contributions = -6.043 (log-odds).
Score = sigmoid(-6.043) = 0.002.

Score0.725
Score294
Run 1

The code is moderately readable with good structure and organization. The class is logically organized with clear method separation and decent documentation strings. However, several areas hinder readability: (1) some methods are very long (_create_slots_class, __init__) and contain multiple nested conditionals and loops that could be extracted; (2) variable names like 'cd', 'sa_attrs', 'globs' are concise but somewhat cryptic without context; (3) comments explain complex logic well but sometimes clutter rather than clarify (e.g., excessive XXX comments); (4) action granularity varies—some lines pack multiple operations while others are appropriately separated; (5) the 'add_hash' method has dead code with average_score computation that appears accidental and confusing. Reading flow is natural within methods but jumps between different abstraction levels (high-level class building vs low-level slot manipulation). Overall, the code is maintainable for experienced developers familiar with metaprogramming but could benefit from extracting helper methods and reducing nesting depth.

Run 2

The code is highly readable for a complex library implementation. It maintains a logical structure with clear class responsibilities and well-named methods that express intent. Nesting is minimal, with most logic kept flat through early returns and list comprehensions. Each line generally performs one action, and the reading flow follows a natural progression through the builder pattern. Comments are strategically placed to explain non-obvious decisions, and docstrings provide useful context. While the file is long, the complexity is inherent to the problem domain (metaprogramming/class generation), not from poor organization. The use of type hints and consistent naming conventions further enhances clarity.

Run 3

The code demonstrates good structure with clear class organization and logical method separation. The _ClassBuilder class has a well-defined responsibility and methods are generally focused on single tasks. Nesting is mostly reasonable, though some methods like _create_slots_class contain complex nested loops that could be extracted. Variable names are descriptive and intent is clear throughout. The code is somewhat verbose with numerous comments explaining implementation details, which aids understanding but also increases length. Action granularity is generally one operation per line, making debugging easier. The reading flow is natural within methods, though the overall flow of the class could benefit from methods being organized by concern rather than mixed. Some methods like _make_getstate_setstate have good structure with helper functions defined inline. The score reflects strong readability with some areas for improvement in method extraction and reducing complexity in slot creation logic.

Run 1

Code Structure: The builder organizes functionality into purpose-specific methods, though initialization and slot creation handle many responsibilities. Nesting: Most methods are shallow, but inheritance handling, closure rewriting, and setter hooks introduce moderately deep control flow. Clarity of intent: Descriptive method names, docstrings, and explanatory comments help considerably; abbreviated locals, dynamic code generation, and numerous state flags require extra effort. The unused score calculations in add_hash are distracting and unrelated. Code length: Much of the length supports legitimate compatibility cases, but lengthy methods and duplicated initialization-generation logic reduce concision. Action granularity: Statements generally perform one action per line, with occasional chained or multiple assignments. Reading flow: Consistent formatting and the build-and-attach pattern provide a natural progression, while deferred snippet execution and dependencies on external helpers make behavior harder to trace locally.

Run 2

Code Structure: Cohesive builder class with well-separated method-generation responsibilities, though initialization and slot creation handle many concerns. Nesting: Mostly moderate, but inheritance checks, closure rewriting, and setter hooks introduce deeper nesting. Clarity of intent: Descriptive method names, docstrings, and explanatory comments clarify complex metaprogramming; abbreviated locals and irrelevant score calculations in add_hash undermine clarity. Code length: Generally justified by functionality, but lengthy methods, duplicated initialization-generation logic, and unused calculations add avoidable bulk. Action granularity: Most statements perform one action, with occasional chained or multi-target assignments requiring extra attention. Reading flow: Consistent formatting and the configuration-to-build progression support navigation, although deferred script execution, numerous state flags, and compatibility branches increase the mental effort needed to trace behavior.

Run 3

Code Structure: The builder organizes functionality into clearly named methods, though initialization and slot creation handle many responsibilities. Nesting: Most methods are relatively flat, but slot creation and closure rewriting contain several nested loops and conditionals. Clarity of intent: Descriptive method names, docstrings, and explanatory comments clarify complex metaprogramming; abbreviated locals and numerous state flags increase cognitive load. The unrelated score calculations in add_hash obscure intent. Code length: Generally purposeful, but long methods, duplicated initialization-generation logic, and unused calculations reduce concision. Action granularity: Most statements perform one action, with occasional chained assignments and multi-target updates requiring extra attention. Reading flow: The progression from configuration to class construction and method attachment is coherent, but compatibility branches, dynamic code generation, and extensive mutable state require readers to track interactions across methods.