Sample

pyint-19b411536d5f-SRC

Unmodified source class

Lines636

Scores

MethodScoreScale
Posnett00–1; higher is more readable
Dorn0.0020–1; higher is more readable
Mi0.7250–1; higher is more readable
LLOC291Logical lines; fewer is more readable
DeepSeek V4 Pro9.670–20; mean of three runs
GPT-6.1 Sol150–20; mean of three runs
BTTF0.3490–1; 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): 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

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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.21514.679−709.984
Source linesThe number of non-empty source lines.636+254.4
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.4.192−6.288

Intercept 8.87 + feature contributions = -453.002 (log-odds).
Score = sigmoid(-453.002) = 0.

Feature contributions

FeatureValueContribution
(log-odds)
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.637−21.518
Indentation frequencyHow rapidly indentation changes from line to line.552+18.356
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.552−12.246
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.635.904+8.479
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.92.972+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.92.986−0.273

Intercept 0.07 + feature contributions = -6.02 (log-odds).
Score = sigmoid(-6.02) = 0.002.

Score0.725
Score291
Run 1

The code exhibits good structure with clear class responsibilities and method separation, but readability is hampered by dense logic and occasional deep nesting. The `__init__` method contains a complex conditional block for `on_setattr` handling that reduces clarity. The `_create_slots_class` method is long and combines multiple concerns: slot collection, cached property handling, closure updating, and class creation. While naming is generally descriptive and actions are mostly one per line, some sections require domain-specific knowledge of Python's descriptor model. The reading flow is natural for experienced attrs developers but challenging for newcomers. The code uses helpful comments but occasionally relies on implicit understanding of class construction mechanics.

Run 2

The code is well-organized with clear separation of concerns, but suffers from high cognitive load due to long methods, deep conditional nesting, and dense implementation details. The _ClassBuilder class structure is logical, but methods like __init__, _create_slots_class, and add_setattr contain multiple complex branches that are hard to follow. Nesting is moderate-to-deep in several places (conditional chains, loops within conditionals). Intent is generally clear from method names and docstrings, though inline comments are sometimes excessive. Although the code is necessarily long for its functionality, some methods mix concerns (e.g., _create_slots_class handles slot collection, cached properties, and closure rewriting). Action granularity is mostly reasonable—one logical operation per line—but readability suffers from the density of attribute assignments and index access. Reading flow is acceptable when following method order, but complex methods require rereading.

Run 3

This code is very difficult to read and maintain. The _ClassBuilder class is extremely long (600+ lines) and handles too many responsibilities: attribute transformation, slot creation, method generation, pickle support, and more. Methods like _create_slots_class and __init__ are deeply nested with multiple levels of conditionals and loops, making the control flow hard to follow. The intent is often obscured by low-level implementation details and inline comments that explain 'what' rather than 'why'. While the code attempts to be organized with docstrings and helper methods, the sheer complexity of the slot creation logic, the string-based code generation snippets, and the closure manipulation for __class__ references create tangled, hard-to-verify code. Variable names like cd, sa_attrs, and globs are cryptic. The reading flow is constantly interrupted by edge cases and workarounds. Overall, this appears to be production library code that prioritizes correctness and performance over readability.

Run 1

Code Structure: The builder groups related responsibilities into clearly named methods, but initialization and slot-class creation handle many concerns. Nesting: Most methods are shallow, although inheritance checks, closure rewriting, and setter hooks introduce moderately deep nesting. Clarity of intent: Descriptive method names, docstrings, and explanatory comments make complex metaprogramming understandable; abbreviated locals and numerous state flags add cognitive load. Code length: Much of the length supports genuine compatibility requirements, but the long slot-building method and duplicated init-generation logic could be factored further. Action granularity: Statements generally perform one action each, with occasional chained assignments and multi-target unpacking. Reading flow: Configuration, method accumulation, and finalization form a coherent workflow, though deferred snippet execution, nested callbacks, and dependencies on external helpers require readers to track indirect behavior.

Run 2

Code Structure: Well organized around a class builder, with distinct methods for construction and generated behavior, though initialization and slot creation handle many responsibilities. Nesting: Mostly moderate, but inheritance checks, closure rewriting, and setter hooks introduce deeper branching. Clarity of intent: Descriptive method names, docstrings, and explanatory comments clarify complex metaprogramming; abbreviated variables and numerous state flags increase cognitive load. Code length: Much complexity is justified, but long methods and duplicated init-generation logic reduce concision. Action granularity: Generally one operation per line, with occasional chained assignments and multi-target updates requiring extra attention. Reading flow: The build-and-attach progression is logical and formatting is consistent, but deferred script execution, nested attachment functions, and external helpers require readers to track behavior across methods.

Run 3

Code Structure: The builder organizes responsibilities into clearly named methods, although initialization and slot-class creation handle many concerns. Nesting: Most methods are shallow, but inheritance handling, closure updates, and setter hooks introduce moderately deep branches. Clarity of intent: Descriptive method names, docstrings, and compatibility comments explain complex behavior well; abbreviated variables such as cd, a, and nval and numerous internal flags require extra interpretation. Code length: Much of the length supports legitimate edge cases, but long methods and duplicated initialization-generation logic reduce concision. Action granularity: Statements generally perform one action each, with occasional chained or tuple assignments slightly increasing cognitive load. Reading flow: Consistent formatting and a recognizable configure-then-build pattern support navigation, while deferred script execution, nested attachment callbacks, and extensive class-state dependencies make end-to-end behavior harder to follow.