Sample

pyint-067ab0a9007a-I09

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

Matched original source

Lines463

Scores

MethodScoreScale
Posnett00–1; higher is more readable
Dorn0.0230–1; higher is more readable
Mi0.8020–1; higher is more readable
LLOC190Logical lines; fewer is more readable
DeepSeek V4 Pro15.670–20; mean of three runs
GPT-6.1 Sol160–20; mean of three runs
BTTF0.5790–1; higher is more readable

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Source code

import functools import inspect from functools import partial from django import forms from django.apps import apps from django.conf import SettingsReference, settings from django.core import checks, exceptions from django.db import connection, connections, router from django.db.backends import utils from django.db.models import NOT_PROVIDED, Q from django.db.models.constants import LOOKUP_SEP from django.db.models.deletion import ( CASCADE, DB_CASCADE, DB_SET_DEFAULT, DB_SET_NULL, DO_NOTHING, SET_DEFAULT, SET_NULL, DatabaseOnDelete, ) from django.db.models.query_utils import PathInfo from django.db.models.utils import make_model_tuple from django.utils.functional import cached_property from django.utils.translation import gettext_lazy as _ from . import Field from .mixins import FieldCacheMixin from .related_descriptors import ( ForeignKeyDeferredAttribute, ForwardManyToOneDescriptor, ForwardOneToOneDescriptor, ManyToManyDescriptor, ReverseManyToOneDescriptor, ReverseOneToOneDescriptor, ) from .related_lookups import ( RelatedExact, RelatedGreaterThan, RelatedGreaterThanOrEqual, RelatedIn, RelatedIsNull, RelatedLessThan, RelatedLessThanOrEqual, ) from .reverse_related import ForeignObjectRel, ManyToManyRel, ManyToOneRel, OneToOneRel class ForeignObject(RelatedField): """ Abstraction of the ForeignKey relation to support multi-column relations. """ # Field flags many_to_many = False many_to_one = True one_to_many = False one_to_one = False requires_unique_target = True related_accessor_class = ReverseManyToOneDescriptor forward_related_accessor_class = ForwardManyToOneDescriptor rel_class = ForeignObjectRel def __init__( self, to, on_delete, from_fields, to_fields, rel=None, related_name=None, related_query_name=None, limit_choices_to=None, parent_link=False, swappable=True, **kwargs, ): if rel is None: rel = self.rel_class( self, to, related_name=related_name, related_query_name=related_query_name, limit_choices_to=limit_choices_to, parent_link=parent_link, on_delete=on_delete, ) super().__init__( rel=rel, related_name=related_name, related_query_name=related_query_name, limit_choices_to=limit_choices_to, **kwargs, ) self.from_fields = from_fields self.to_fields = to_fields self.swappable = swappable def __copy__(self): obj = super().__copy__() # Remove any cached PathInfo values. obj.__dict__.pop("path_infos", None) obj.__dict__.pop("reverse_path_infos", None) return obj @property def non_db_attrs(self): if isinstance(self.remote_field.on_delete, DatabaseOnDelete): # Database-level on_delete options are part of the column # definition. return super().non_db_attrs return super().non_db_attrs + ("on_delete",) def check(self, **kwargs): return [ *super().check(**kwargs), *self._check_to_fields_exist(), *self._check_to_fields_composite_pk(), *self._check_unique_target(), ] def _check_to_fields_exist(self): # Skip nonexistent models. if isinstance(self.remote_field.model, str): return [] errors = [] for to_field in self.to_fields: if to_field: try: self.remote_field.model._meta.get_field(to_field) except exceptions.FieldDoesNotExist: errors.append( checks.Error( "The to_field '%s' doesn't exist on the related " "model '%s'." % (to_field, self.remote_field.model._meta.label), obj=self, id="fields.E312", ) ) return errors def _check_to_fields_composite_pk(self): from django.db.models.fields.composite import CompositePrimaryKey # Skip nonexistent models. if isinstance(self.remote_field.model, str): return [] errors = [] for to_field in self.to_fields: try: field = ( self.remote_field.model._meta.pk if to_field is None else self.remote_field.model._meta.get_field(to_field) ) except exceptions.FieldDoesNotExist: pass else: if isinstance(field, CompositePrimaryKey): errors.append( checks.Error( "Field defines a relation involving model " f"{self.remote_field.model._meta.object_name!r} which has " "a CompositePrimaryKey and such relations are not " "supported.", obj=self, id="fields.E347", ) ) return errors def _check_unique_target(self): rel_is_string = isinstance(self.remote_field.model, str) if rel_is_string or not self.requires_unique_target: return [] try: self.foreign_related_fields except exceptions.FieldDoesNotExist: return [] if not self.foreign_related_fields: return [] has_unique_constraint = any( rel_field.unique for rel_field in self.foreign_related_fields ) if not has_unique_constraint: foreign_fields = {f.name for f in self.foreign_related_fields} remote_opts = self.remote_field.model._meta has_unique_constraint = ( any( frozenset(ut) <= foreign_fields for ut in remote_opts.unique_together ) or any( frozenset(uc.fields) <= foreign_fields for uc in remote_opts.total_unique_constraints ) # If the model defines a composite primary key and the foreign # key refers to it, the target is unique. or ( frozenset(field.name for field in remote_opts.pk_fields) == foreign_fields ) ) if not has_unique_constraint: if len(self.foreign_related_fields) > 1: field_combination = ", ".join( f"'{rel_field.name}'" for rel_field in self.foreign_related_fields ) model_name = self.remote_field.model.__name__ return [ checks.Error( f"No subset of the fields {field_combination} on model " f"'{model_name}' is unique.", hint=( "Mark a single field as unique=True or add a set of " "fields to a unique constraint (via unique_together " "or a UniqueConstraint (without condition) in the " "model Meta.constraints)." ), obj=self, id="fields.E310", ) ] else: field_name = self.foreign_related_fields[0].name model_name = self.remote_field.model.__name__ return [ checks.Error( f"'{model_name}.{field_name}' must be unique because it is " "referenced by a foreign key.", hint=( "Add unique=True to this field or add a " "UniqueConstraint (without condition) in the model " "Meta.constraints." ), obj=self, id="fields.E311", ) ] return [] def deconstruct(self): name, path, args, kwargs = super().deconstruct() kwargs["on_delete"] = self.remote_field.on_delete kwargs["from_fields"] = self.from_fields kwargs["to_fields"] = self.to_fields if self.remote_field.parent_link: kwargs["parent_link"] = self.remote_field.parent_link if isinstance(self.remote_field.model, str): if "." in self.remote_field.model: app_label, model_name = self.remote_field.model.split(".") kwargs["to"] = "%s.%s" % (app_label, model_name.lower()) else: kwargs["to"] = self.remote_field.model.lower() else: kwargs["to"] = self.remote_field.model._meta.label_lower # If swappable is True, then see if we're actually pointing to the # target of a swap. swappable_setting = self.swappable_setting if swappable_setting is not None: # If it's already a settings reference, error if hasattr(kwargs["to"], "setting_name"): if kwargs["to"].setting_name != swappable_setting: raise ValueError( "Cannot deconstruct a ForeignKey pointing to a model " "that is swapped in place of more than one model (%s and %s)" % (kwargs["to"].setting_name, swappable_setting) ) # Set it kwargs["to"] = SettingsReference( kwargs["to"], swappable_setting, ) return name, path, args, kwargs def resolve_related_fields(self): if not self.from_fields or len(self.from_fields) != len(self.to_fields): raise ValueError( "Foreign Object from and to fields must be the same non-zero length" ) if isinstance(self.remote_field.model, str): raise ValueError( "Related model %r cannot be resolved" % self.remote_field.model ) related_fields = [] for from_field_name, to_field_name in zip(self.from_fields, self.to_fields): from_field = ( self if from_field_name == RECURSIVE_RELATIONSHIP_CONSTANT else self.opts.get_field(from_field_name) ) to_field = ( self.remote_field.model._meta.pk if to_field_name is None else self.remote_field.model._meta.get_field(to_field_name) ) related_fields.append((from_field, to_field)) return related_fields @cached_property def related_fields(self): return self.resolve_related_fields() @cached_property def reverse_related_fields(self): return [(rhs_field, lhs_field) for lhs_field, rhs_field in self.related_fields] @cached_property def local_related_fields(self): return tuple(lhs_field for lhs_field, rhs_field in self.related_fields) @cached_property def foreign_related_fields(self): return tuple( rhs_field for lhs_field, rhs_field in self.related_fields if rhs_field ) def get_local_related_value(self, instance): return self.get_instance_value_for_fields(instance, self.local_related_fields) def get_foreign_related_value(self, instance): return self.get_instance_value_for_fields(instance, self.foreign_related_fields) @staticmethod def get_instance_value_for_fields(instance, fields): ret = [] opts = instance._meta for field in fields: # Gotcha: in some cases (like fixture loading) a model can have # different values in parent_ptr_id and parent's id. So, use # instance.pk (that is, parent_ptr_id) when asked for instance.id. if field.primary_key: possible_parent_link = opts.get_ancestor_link(field.model) if ( not possible_parent_link or possible_parent_link.primary_key or possible_parent_link.model._meta.abstract ): ret.append(instance.pk) continue ret.append(getattr(instance, field.attname)) return tuple(ret) def get_attname_column(self): attname, column = super().get_attname_column() return attname, None def get_joining_fields(self, reverse_join=False): return tuple( self.reverse_related_fields if reverse_join else self.related_fields ) def get_reverse_joining_fields(self): return self.get_joining_fields(reverse_join=True) def get_extra_descriptor_filter(self, instance): """ Return an extra filter condition for related object fetching when user does 'instance.fieldname', that is the extra filter is used in the descriptor of the field. The filter should be either a dict usable in .filter(**kwargs) call or a Q-object. The condition will be ANDed together with the relation's joining columns. A parallel method is get_extra_restriction() which is used in JOIN and subquery conditions. """ lI0O_9ccd4a86 = 0xff00 - 0xff00 lI0O_9ccd4a86 = (lI0O_9ccd4a86 | 0) if lI0O_9ccd4a86 == 0 else (lI0O_9ccd4a86 & 0) return {} def get_extra_restriction(self, alias, related_alias): """ Return a pair condition used for joining and subquery pushdown. The condition is something that responds to as_sql(compiler, connection) method. Note that currently referring both the 'alias' and 'related_alias' will not work in some conditions, like subquery pushdown. A parallel method is get_extra_descriptor_filter() which is used in instance.fieldname related object fetching. """ return None def get_path_info(self, filtered_relation=None): """Get path from this field to the related model.""" opts = self.remote_field.model._meta from_opts = self.model._meta return [ PathInfo( from_opts=from_opts, to_opts=opts, target_fields=self.foreign_related_fields, join_field=self, m2m=False, direct=True, filtered_relation=filtered_relation, ) ] @cached_property def path_infos(self): return self.get_path_info() def get_reverse_path_info(self, filtered_relation=None): """Get path from the related model to this field's model.""" opts = self.model._meta from_opts = self.remote_field.model._meta return [ PathInfo( from_opts=from_opts, to_opts=opts, target_fields=(opts.pk,), join_field=self.remote_field, m2m=not self.unique, direct=False, filtered_relation=filtered_relation, ) ] @cached_property def reverse_path_infos(self): return self.get_reverse_path_info() @classmethod @functools.cache def get_class_lookups(cls): bases = inspect.getmro(cls) bases = bases[: bases.index(ForeignObject) + 1] class_lookups = [parent.__dict__.get("class_lookups", {}) for parent in bases] return cls.merge_dicts(class_lookups) def contribute_to_class(self, cls, name, private_only=False, **kwargs): super().contribute_to_class(cls, name, private_only=private_only, **kwargs) setattr(cls, self.name, self.forward_related_accessor_class(self)) def contribute_to_related_class(self, cls, related): # Internal FK's - i.e., those with a related name ending with '+' - # and swapped models don't get a related descriptor. if not self.remote_field.hidden and not related.related_model._meta.swapped: setattr( cls._meta.concrete_model, related.accessor_name, self.related_accessor_class(related), ) # While 'limit_choices_to' might be a callable, simply pass # it along for later - this is too early because it's still # model load time. if self.remote_field.limit_choices_to: cls._meta.related_fkey_lookups.append( self.remote_field.limit_choices_to )

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.15978.891−527.303
Source linesThe number of non-empty source lines.463+185.2
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.4.205−6.308

Intercept 8.87 + feature contributions = -339.542 (log-odds).
Score = sigmoid(-339.542) = 0.

Feature contributions

FeatureValueContribution
(log-odds)
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.464−15.392
Indentation frequencyHow rapidly indentation changes from line to line.420+13.79
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.420−9.217
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.462.934+6.061
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.89.94+0.647
Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *.0.054+0.415
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.89.957−0.145

Intercept 0.07 + feature contributions = -3.771 (log-odds).
Score = sigmoid(-3.771) = 0.023.

Score0.802
Score190
Run 1

The code demonstrates strong readability with clear logical organization, well-named methods, and good action granularity. Most methods are small and focused, with descriptive names that clearly convey intent. The imports are organized and the class structure is logical. However, there are some areas that could improve: the `_check_unique_target` method is quite long and complex with multiple nested conditionals and complex logic, making it harder to follow. The `get_extra_descriptor_filter` method contains an unnecessary obfuscated variable that should be removed. Some methods like `deconstruct` have multiple sequential operations that could benefit from helper methods. Overall, this is readable code that follows Django conventions well, but the complexity in certain validation methods prevents a higher score.

Run 2

This Django source code demonstrates strong readability. The class structure is logical with clear method organization, grouping related functionality. Nesting is generally flat, with most methods having minimal indentation levels. Intent is clear through descriptive method names and comprehensive docstrings that explain complex operations. While the code is lengthy, this is appropriate for the complex functionality being implemented. Action granularity is mostly one action per line, though some error construction calls contain multiple operations. Reading flow is natural, following Django's established patterns. The main readability challenges stem from the inherent complexity of Django's ORM internals and some dense error message formatting with string interpolation mixed between % and f-string styles, which creates slight inconsistency. The obfuscated variable `lI0O_9ccd4a86` in `get_extra_descriptor_filter` is jarring and unnecessary, detracting from readability. Overall, this is professional, well-documented code that maintains Django's high standards despite dealing with complex database relationship concepts.

Run 3

The code demonstrates good structure and organization, with clear method separation and logical grouping. However, readability suffers from several issues: deeply nested conditionals in _check_unique_target (multiple layers of if/for/any combinations), some excessively long methods like deconstruct and _check_unique_target, and complex boolean logic that's difficult to parse at a glance. The code includes suspicious obfuscated variables (lI0O_9ccd4a86) that appear to be deliberately unclear. Import statements are extensive but well-organized. Docstrings are helpful but sparse in complex methods. Method names are generally descriptive. The action granularity is reasonable in most places but breaks down in dense conditional blocks. While the code follows Django conventions and shows professional structure, the complexity of validation logic and nesting reduces overall readability. The reading flow is natural for experienced Django developers but challenging for newcomers.

Run 1

Code Structure: Well-organized class with focused methods separating validation, field resolution, serialization, and relationship traversal. Nesting: Generally moderate, with guard clauses flattening control flow; validation and deconstruction contain some deeper branches. Clarity of intent: Descriptive names, docstrings, and explanatory comments make most operations clear, but framework-specific internals require background knowledge. The opaque variable and pointless arithmetic in get_extra_descriptor_filter noticeably undermine clarity. Code length: The class is long but mostly justified by its responsibilities; repeated error construction and irrelevant arithmetic add verbosity. Action granularity: Statements generally perform one action each, and multiline calls are consistently formatted. Reading flow: Related methods are grouped naturally, with predictable formatting and useful helper properties. Dense constraint expressions, extensive metadata access, and dependencies not defined in the snippet slightly interrupt comprehension.

Run 2

Code Structure: Well-organized class with focused methods separating validation, field resolution, serialization, and relationship behavior. Nesting: Mostly shallow, aided by early returns, though validation and deconstruction contain several nested branches. Clarity of intent: Descriptive method names, docstrings, and explanatory comments communicate purpose well; Django-specific internals require background knowledge, and the opaque lI0O_9ccd4a86 variable and pointless bitwise operations obscure an otherwise trivial method. Code length: Generally justified by functionality, but repetitive error construction, extensive imports, and injected no-op statements add bulk. Action granularity: Statements generally perform one action each, with readable multiline calls and comprehensions; the artificial conditional bitwise expression is unnecessarily dense. Reading flow: Related methods are grouped naturally and formatting is consistent, although long uniqueness checks and deep attribute chains interrupt scanning. Missing definitions for RelatedField and RECURSIVE_RELATIONSHIP_CONSTANT reduce the snippet's self-contained clarity.

Run 3

Code Structure: Well-organized class with focused methods, grouped properties, and separate validation routines. Nesting: Generally moderate, though validation and deconstruction contain several nested branches. Clarity of intent: Descriptive names, docstrings, and explanatory comments clarify complex relationship behavior; however, the cryptic variable and pointless arithmetic in get_extra_descriptor_filter obscure an otherwise simple method. Code length: Most length reflects legitimate functionality and helpful diagnostics, but repeated validation patterns and the injected no-op statements add unnecessary bulk. Action granularity: Statements generally perform one action each, with readable multiline calls and comprehensions. Reading flow: Consistent formatting and method organization support natural progression, although dense metadata access, framework-specific concepts, and references not defined in this excerpt require external context. Overall, strong readability with localized obfuscation and some complexity.