Sample

pyint-c08262236fb4-SRC

Unmodified source class

Lines461

Scores

MethodScoreScale
Posnett00–1; higher is more readable
Dorn0.0240–1; higher is more readable
Mi0.8020–1; higher is more readable
LLOC188Logical lines; fewer is more readable
DeepSeek V4 Pro14.670–20; mean of three runs
GPT-6.1 Sol160–20; mean of three runs
BTTF0.590–1; 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. """ 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 )

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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.15751.83−519.81
Source linesThe number of non-empty source lines.461+184.4
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.4.185−6.277

Intercept 8.87 + feature contributions = -332.818 (log-odds).
Score = sigmoid(-332.818) = 0.

Feature contributions

FeatureValueContribution
(log-odds)
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.462−15.322
Indentation frequencyHow rapidly indentation changes from line to line.418+13.721
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.418−9.171
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.460.921+6.033
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.87.351+0.605
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.87.957−0.06

Intercept 0.07 + feature contributions = -3.706 (log-odds).
Score = sigmoid(-3.706) = 0.024.

Score0.802
Score188
Run 1

The code is generally readable and well-structured, following Django's conventions. It uses clear method names, docstrings, and logical grouping. However, the complexity of the domain logic and some long methods reduce readability. The `__init__` method has many parameters, and methods like `_check_unique_target` and `get_instance_value_for_fields` are dense with nested conditions and multi-line expressions. Import statements are organized but lengthy. The code would benefit from breaking down complex validation logic into smaller helper methods. The use of type hints is absent, and some string formatting is inconsistent (mixing % and f-strings). While the code maintains a reasonable flat structure, certain methods contain deep nesting and complex boolean logic that could be simplified. Overall, it's readable for experienced Django developers but challenging for newcomers.

Run 2

The code shows good structure with clear class organization and logical grouping of methods, but suffers from moderate readability issues. The nesting is generally manageable, though some methods have three levels of indentation. While the intent of most methods is clear, some methods like _check_unique_target and deconstruct are quite long and complex. The code length is reasonable for a Django field implementation but could be broken down further - _check_unique_target in particular handles multiple distinct validation scenarios. Action granularity is mostly good with one action per line, though some parameter lists are dense. The reading flow is natural with methods ordered logically from initialization through checks to relationship resolution. The heavy use of list comprehensions in some methods slightly reduces clarity, and the complex conditional logic in methods like _check_unique_target would benefit from extraction into smaller helper methods to improve readability.

Run 3

The code demonstrates good structure with clear class organization, logical method grouping, and consistent patterns. Nesting is generally well-managed, though the _check_unique_target method contains deep conditional logic (up to 4 levels). Intent is clear throughout with descriptive method and variable names. Code length is appropriate given the complexity of Django's ForeignKey implementation. Action granularity is mostly one-per-line, though some comprehensions and conditional expressions pack multiple actions. Reading flow is natural, with methods following a logical progression. However, the file starts with heavy imports that could be better organized, and some methods like get_instance_value_for_fields and _check_unique_target could benefit from extraction of helper methods to reduce cognitive load. The mix of string formatting styles (%s vs f-strings) is inconsistent. Overall, this is maintainable, readable code typical of mature Django internals, but not exemplary due to occasional complexity and formatting inconsistencies.

Run 1

Code Structure: Well-organized class with focused methods separating validation, field resolution, metadata, and descriptor setup. Nesting: Mostly shallow, aided by early returns, though validation and deconstruction contain several nested branches. Clarity of intent: Descriptive method names, explicit arguments, docstrings, and comments explain purpose and edge cases; framework-specific internals and names absent from the excerpt require outside context. Code length: The class is substantial but largely justified by its responsibilities; repeated error construction and verbose expressions increase reading effort. Action granularity: Statements generally perform one action each, with readable multiline calls and comprehensions. Reading flow: Related methods are grouped naturally and formatting is consistent, but long metadata chains, complex uniqueness checks, and numerous imports make scanning harder.

Run 2

Code Structure: Responsibilities are logically separated into validation, field resolution, metadata, and descriptor methods, although the class covers many concerns. Nesting: Mostly shallow, with guard clauses reducing indentation; validation and deconstruction contain some deeper branches. Clarity of intent: Descriptive method names, docstrings, and comments explain framework-specific behavior, but dense metadata access and externally defined symbols require Django knowledge. Code length: The class is long but largely justified by its functionality; repeated error construction and parallel accessor methods add some verbosity. Action granularity: Statements generally perform one action each, and multiline calls make arguments easy to distinguish. Reading flow: Consistent formatting and related methods grouped together support natural reading, though complex uniqueness expressions and frequent transitions between framework mechanisms increase cognitive load.

Run 3

Code Structure: Well organized into focused methods, with validation, field resolution, accessors, and relationship registration clearly separated. Nesting: Mostly shallow, supported by early returns; validation and deconstruction contain some moderately nested branches. Clarity of intent: Descriptive method names, docstrings, and explanatory comments make purposes clear, though Django internals, abbreviated variables, and references not defined in the snippet require external context. Code length: The class is long but largely justified by its responsibilities; repeated error construction and parallel accessor methods add some verbosity. Action granularity: Statements generally perform one action each, and multiline calls and comprehensions are formatted cleanly. Reading flow: Consistent formatting and logical method grouping support scanning, although complex uniqueness expressions and frequent metadata traversal slow detailed reading.