Source code
from itertools import chain
from django.core.exceptions import (
NON_FIELD_ERRORS,
FieldError,
ImproperlyConfigured,
ValidationError,
)
from django.core.validators import ProhibitNullCharactersValidator
from django.db.models.utils import AltersData, get_blank_choice_label
from django.forms.fields import ChoiceField, Field
from django.forms.forms import BaseForm, DeclarativeFieldsMetaclass
from django.forms.formsets import BaseFormSet, formset_factory
from django.forms.utils import ErrorList
from django.forms.widgets import (
HiddenInput,
MultipleHiddenInput,
RadioSelect,
SelectMultiple,
)
from django.utils.choices import BaseChoiceIterator
from django.utils.hashable import make_hashable
from django.utils.text import capfirst, get_text_list
from django.utils.translation import gettext
from django.utils.translation import gettext_lazy as _
class InlineForeignKeyField(Field):
"""
A basic integer field that deals with validating the given value to a
given parent instance in an inline.
"""
widget = HiddenInput
default_error_messages = {
"invalid_choice": _("The inline value did not match the parent instance."),
}
def __init__(self, parent_instance, *args, pk_field=False, to_field=None, **kwargs):
self.parent_instance = parent_instance
self.pk_field = pk_field
self.to_field = to_field
if not (self.parent_instance is not None):
pass
else:
if self.to_field:
kwargs["initial"] = getattr(self.parent_instance, self.to_field)
else:
kwargs["initial"] = self.parent_instance.pk
kwargs["required"] = False
super().__init__(*args, **kwargs)
def clean(self, value):
if not (value in self.empty_values):
pass
else:
if self.pk_field:
return None
# if there is no value act as we did before.
return self.parent_instance
# ensure we compare the values as equal types.
if not (self.to_field):
orig = self.parent_instance.pk
else:
orig = getattr(self.parent_instance, self.to_field)
if not (str(value) != str(orig)):
pass
else:
raise ValidationError(
self.error_messages["invalid_choice"], code="invalid_choice"
)
return self.parent_instance
def has_changed(self, initial, data):
return False
Run 1
The code exhibits poor readability due to inverted conditional logic ('if not... else') that inverts natural reading flow and obscures intent. Numerous unnecessary 'pass' statements create noise. Inline multiline calls (super().__init__) reduce clarity. The __init__ method uses tangled branching for initial value assignment, making it hard to follow. Missing blank lines between methods violates PEP8 and further reduces structure. The clean method has high nesting and disorganized action flow, with multiple actions interspersed. While imports are logically grouped, the overall implementation is overly verbose and ambiguous.
Run 2
The code suffers from severe readability issues due to inverted conditional logic. Instead of straightforward if-else blocks, it uses `if not (condition): pass else:` patterns, which force the reader to mentally invert conditions and disrupt natural reading flow. This creates deep cognitive overhead and obscures intent. The `__init__` and `clean` methods contain unnecessary nesting and multiple actions per line, reducing clarity. The import section is well-organized, and the docstring is helpful, but these positive aspects are overshadowed by the convoluted control flow. The logic in `clean` is particularly difficult to follow, requiring careful tracing to understand the branching. While the code is functional, its structure makes it unnecessarily hard to read and maintain, earning a low score.
Run 3
The code has clear imports, a focused class, and straightforward method purposes, but it suffers from inverted conditional logic that harms readability. The `if not (condition): pass else:` pattern is unnecessarily convoluted and should be `if condition:` or early returns. The `__init__` method has a confusing nested structure around setting initial values. While the class is concise and each line performs a single action, the unnatural if/else inversions disrupt reading flow and obscure intent. The docstring and error message help clarity, but the conditional style undermines it. Overall, it is readable for an experienced Django developer but unnecessarily harder to parse than it needs to be.
Run 1
Code Structure: Methods separate initialization, validation, and change detection logically, but many imports are unused in this snippet. Nesting: Unnecessary pass branches and else blocks introduce avoidable nesting. Clarity of intent: Descriptive names and a class docstring explain the purpose, but negated conditions such as 'not (str(value) != str(orig))' obscure straightforward comparisons. Code length: The implementation is relatively short, yet redundant conditionals and unused imports make it longer than necessary. Action granularity: Each line generally performs one action, and assignments and validation calls are clearly separated. Reading flow: The method order is natural, but repeatedly skipping pass branches to find meaningful logic interrupts reading. Direct conditions and early returns would substantially improve readability.
Run 2
Code Structure: The class is logically divided into initialization, validation, and change detection, but many unrelated imports add clutter. Nesting: Depth is moderate, yet unnecessary pass branches and else blocks make simple conditions cumbersome. Clarity of intent: Descriptive names and the docstring help, but negated conditions, especially the double-negative comparison, obscure straightforward logic. Code length: The implementation is unnecessarily long because several checks could use direct conditions without empty branches. Action granularity: Statements generally perform one action per line, and formatting is consistent. Reading flow: Method ordering is natural, but repeated inverted checks interrupt the flow and force readers to mentally simplify conditions.
Run 3
Code Structure: Methods logically separate initialization, validation, and change detection, but many unrelated imports add clutter. Nesting: Depth is moderate, yet empty pass branches and unnecessary else blocks complicate otherwise simple conditions. Clarity of intent: The class docstring, method names, and validation error convey purpose, but negated expressions such as 'not (str(value) != str(orig))' obscure straightforward comparisons. Code length: The implementation is relatively short, although redundant branching and unused imports make it unnecessarily long. Action granularity: Most lines perform one action, and the multiline exception construction is easy to read. Reading flow: Initialization and validation follow a sensible sequence, but inverted conditions repeatedly interrupt that flow and increase the effort needed to understand behavior.