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id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack
| id | title | category | status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | verification_status | tags | raw_sources | last_reinforced | github_commit | tech_stack | |||||||||||
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| wiki-2026-0508-inheritance-and-polymorphism | Inheritance and Polymorphism | 10_Wiki/Topics | verified | self |
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none | A | 0.95 | applied |
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2026-05-10 | pending |
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Inheritance and Polymorphism
매 한 줄
"매 inheritance 의 mechanism — polymorphism 의 outcome". 매 inheritance 의 code reuse + 매 is-a 의 subtype relationship; 매 polymorphism 의 same interface 의 different behavior. 매 modern 2026 의 view 의 "favor composition over inheritance" 의 default — Go/Rust 의 inheritance-free, but interface-polymorphism 의 universal. 매 LLM-generated code 의 over-inheritance 의 common antipattern.
매 핵심
매 inheritance 의 종류
- Single inheritance: 매 one parent class (Java, Kotlin, C#).
- Multiple inheritance: 매 N parents — diamond problem (C++, Python via MRO).
- Mixins / traits: 매 horizontal composition (Rust traits, Scala traits, Python mixins).
- Prototype-based: 매 object → object delegation (JavaScript, Lua).
매 polymorphism 의 종류
- Subtype polymorphism: 매 subclass 의 parent 의 substitute (Liskov LSP).
- Parametric polymorphism (generics): 매 type parameter —
List<T>. - Ad-hoc polymorphism (overloading): 매 same name 의 different signatures.
- Row polymorphism: 매 structural — TypeScript / OCaml 의 records.
매 응용
- Domain hierarchy: 매
Animal → Dog/Cat. Often overused. - Plugin architecture: 매
Plugininterface + N implementations. - AST transformation: 매
Visitorpattern + node hierarchy. - Strategy pattern: 매 interchangeable algorithms via interface.
💻 패턴
매 subtype polymorphism (Python ABC + Liskov)
from abc import ABC, abstractmethod
class Shape(ABC):
@abstractmethod
def area(self) -> float: ...
class Circle(Shape):
def __init__(self, r: float): self.r = r
def area(self) -> float: return 3.14159 * self.r ** 2
class Rectangle(Shape):
def __init__(self, w: float, h: float): self.w, self.h = w, h
def area(self) -> float: return self.w * self.h
# Polymorphic use — caller knows nothing about concrete type
def total_area(shapes: list[Shape]) -> float:
return sum(s.area() for s in shapes)
print(total_area([Circle(2), Rectangle(3, 4)])) # 24.566...
매 composition over inheritance (modern preferred)
# ❌ Inheritance-heavy — fragile
class Animal:
def move(self): print("move")
class Bird(Animal):
def fly(self): print("fly")
class Penguin(Bird): # Penguin 의 fly X — Liskov violation
def fly(self): raise NotImplementedError
# ✅ Composition-based — flexible
from dataclasses import dataclass
from typing import Protocol
class Mover(Protocol):
def move(self) -> str: ...
@dataclass
class Walker:
def move(self) -> str: return "walk"
@dataclass
class Flyer:
def move(self) -> str: return "fly"
@dataclass
class Animal2:
name: str
mover: Mover # plug in capability — no inheritance
penguin = Animal2("Penguin", Walker())
sparrow = Animal2("Sparrow", Flyer())
print(penguin.mover.move(), sparrow.mover.move())
매 generic parametric polymorphism (TypeScript)
// Same code for any T
function head<T>(xs: T[]): T | undefined {
return xs[0];
}
const n: number | undefined = head([1, 2, 3]);
const s: string | undefined = head(["a", "b"]);
// Bounded generic — T must be Comparable
interface Comparable<T> { compareTo(other: T): number; }
function max<T extends Comparable<T>>(xs: T[]): T {
return xs.reduce((acc, x) => x.compareTo(acc) > 0 ? x : acc);
}
매 trait-based polymorphism (Rust — no inheritance)
trait Area {
fn area(&self) -> f64;
}
struct Circle { r: f64 }
struct Square { side: f64 }
impl Area for Circle {
fn area(&self) -> f64 { 3.14159 * self.r * self.r }
}
impl Area for Square {
fn area(&self) -> f64 { self.side * self.side }
}
// Static dispatch (zero-cost generics)
fn print_area_static<T: Area>(s: &T) {
println!("{}", s.area());
}
// Dynamic dispatch (vtable)
fn print_area_dyn(s: &dyn Area) {
println!("{}", s.area());
}
fn main() {
let shapes: Vec<Box<dyn Area>> = vec![
Box::new(Circle { r: 2.0 }),
Box::new(Square { side: 3.0 }),
];
for s in &shapes { print_area_dyn(s.as_ref()); }
}
매 visitor pattern (AST traversal)
from dataclasses import dataclass
from typing import Union
# AST hierarchy
@dataclass
class Num: value: float
@dataclass
class Add: left: "Expr"; right: "Expr"
@dataclass
class Mul: left: "Expr"; right: "Expr"
Expr = Union[Num, Add, Mul]
# Polymorphic dispatch via match (Python 3.10+)
def evaluate(e: Expr) -> float:
match e:
case Num(v): return v
case Add(l, r): return evaluate(l) + evaluate(r)
case Mul(l, r): return evaluate(l) * evaluate(r)
# (3 + 4) * 5
print(evaluate(Mul(Add(Num(3), Num(4)), Num(5)))) # 35
매 LSP-violation 의 detector (mypy + tests)
# Runtime LSP check — for each subclass override, parameter contravariant + return covariant
import inspect
from typing import get_type_hints
def check_lsp(parent: type, child: type) -> list[str]:
issues = []
for name in dir(parent):
if name.startswith("_") or not callable(getattr(parent, name)):
continue
try:
p_hints = get_type_hints(getattr(parent, name))
c_hints = get_type_hints(getattr(child, name))
except Exception:
continue
# Return type must be subtype of parent's return
if "return" in p_hints and "return" in c_hints:
if not issubclass(c_hints["return"], p_hints["return"]):
issues.append(f"{child.__name__}.{name}: return type widens parent")
return issues
매 결정 기준
| 상황 | Approach |
|---|---|
| 매 is-a 의 stable | Inheritance OK — keep depth ≤ 2 |
| 매 has-a / can-do | Composition + protocol/interface |
| 매 cross-cutting (logging, metrics) | Decorator / mixin / aspect |
| 매 algorithm variants | Strategy pattern (composition) |
| 매 type-safe collections | Parametric generics (List<T>) |
| 매 closed AST / variant data | Sum types + pattern match (Rust enum, Scala sealed) |
기본값: 매 composition + interface — inheritance 의 only when 명확 is-a + LSP-honoring.
🔗 Graph
- 부모: Object-Oriented-Programming · Type Theory
- 변형: Subtype Polymorphism · Parametric Polymorphism
- 응용: Visitor Pattern
- Adjacent: Composition over Inheritance · Duck Typing
🤖 LLM 활용
언제: 매 boilerplate 의 generation (interface + N impls) / 매 LSP audit / 매 inheritance-to-composition refactor. 언제 X: 매 deep inheritance design — 매 LLM 의 over-inherit 의 tendency. Manual review 필수.
❌ 안티패턴
- 매 deep inheritance: 매 4+ levels — fragile base class problem.
- 매 LSP violation: 매 subclass 의 throws on parent-supported method (Penguin.fly).
- 매 inheritance for code reuse only: 매 not is-a — use composition.
- 매 god parent class: 매 parent 의 every responsibility — SRP violation.
- 매 multiple inheritance 의 diamond ignore: 매 MRO 의 surprise behavior.
🧪 검증 / 중복
- Verified (Gamma et al. Design Patterns 1994; Liskov & Wing A Behavioral Notion of Subtyping 1994; Effective Java Item 18 "Favor composition" 2018).
- 신뢰도 A.
🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — types of inheritance + polymorphism + multi-language patterns |