Follow-up · depth 10
Compare dataclasses and __slots__ with a common alternative in a design review
Compare dataclasses and __slots__ with a common alternative in a design review
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Audio N/AQuick interview answer
Compare dataclasses and __slots__ vs the usual alternative on complexity, latency, failure modes, and ops cost. Pros: Less boilerplate than manual classes; slots reduce per-instance dict overhead. Cons: Inheritance with slots tricky; default mutable fields need default_fa…
Detailed answer
Design-review comparison for dataclasses and __slots__: Axes: correctness, latency, throughput, complexity, operability. From the topic: Pros: Less boilerplate than manual classes; slots reduce per-instance dict overhead. Cons: Inheritance with slots tricky; default mutable fields need default_factory. Recommendation: pick dataclasses and __slots__ when its strengths match the SLO; otherwise choose the alternative and say why. Parent context: Use dataclasses and __slots__ as the core idea. Example shape: DTO layer: @dataclass(slots=True) OrderItem(sku: str, qty: int, price: Decimal)..
Full explanation
Show a clear decision framework, not “it depends” with no criteria. Pros: Less boilerplate than manual classes; slots reduce per-instance dict overhead. Cons: Inheritance with slots tricky; default mutable fields need default_factory.
Follow-up questions
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Parent context — dataclasses and __slots__
Use dataclasses and __slots__ as the core idea. Example shape: DTO layer: @dataclass(slots=True) OrderItem(sku: str, qty: int, price: Decimal)..
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