Python generic class definitions
E265439
Python generic class definitions are type-parameterized class constructs that enable writing reusable, type-safe classes using Python’s static type system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Python generic class definitions canonical | 1 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
programming language feature
ⓘ
type system construct ⓘ |
| allows | parameterization over types ⓘ |
| canBe |
combined with inheritance
ⓘ
nested ⓘ specialized with concrete types at use sites ⓘ |
| checkedBy |
PyCharm
ⓘ
surface form:
PyCharm type checker
Pyre ⓘ mypy ⓘ pyright ⓘ |
| compatibleSinceVersion |
Python 3.x
ⓘ
surface form:
Python 3.5
|
| doesNotAffect | runtime semantics by default ⓘ |
| enables |
reusable class definitions
ⓘ
type-safe class design ⓘ |
| exampleWithPEP695 | class Box[T]: ... ⓘ |
| formalizedIn |
PEP 560
ⓘ
PEP 695 ⓘ |
| goal |
catch type errors at development time
ⓘ
reduce code duplication ⓘ |
| hasAlternativeSyntax | PEP 695 type parameter list ⓘ |
| improves |
IDE autocompletion
ⓘ
code readability ⓘ static type checking precision ⓘ |
| interpretedBy | static type checkers rather than Python runtime ⓘ |
| introducedIn | PEP 484 ⓘ |
| oftenUses |
typing.Generic
ⓘ
typing.ParamSpec ⓘ typing.Protocol ⓘ typing.TypeVar ⓘ typing.TypeVarTuple ⓘ |
| partOf |
PEP 484
ⓘ
surface form:
Python static type system
|
| relatedTo |
Python generics
ⓘ
generic functions in Python ⓘ typing.Annotated ⓘ typing.Self ⓘ |
| requires | typing module ⓘ |
| supports |
bounded type variables
ⓘ
constraints on type variables ⓘ generic base classes ⓘ generic methods ⓘ recursive type references ⓘ type parameters ⓘ variance annotations ⓘ |
| syntaxExample |
T = TypeVar('T')
ⓘ
class Box(Generic[T]): ... ⓘ |
| usedFor |
APIs with type parameters
ⓘ
collections ⓘ data containers ⓘ |
| usedInLanguage | Python ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Python generic class definitions Description of subject: Python generic class definitions are type-parameterized class constructs that enable writing reusable, type-safe classes using Python’s static type system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.