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Demo of dataclass vs non-dataclass performance.
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"""Demo of dataclass vs non-dataclass performance.""" import timeit times = 200 dataclass_time = timeit.timeit(""" from dataclasses import dataclass @dataclass(frozen=True, slots=True) class Point: x: float y: float z: float p = Point(1, 2, 3) """, number=times) nondataclass_time = timeit.timeit(""" class Point: __slots__ = ('x', 'y', 'z') __match_args__ = ('x', 'y', 'z') def __init__(self, x: float, y: float, z: float) -> None: object.__setattr__(self, 'x', x) object.__setattr__(self, 'y', y) object.__setattr__(self, 'z', z) def __repr__(self): cls = type(self).__name__ return f'{cls}(x={self.x!r}, y={self.y!r}, z={self.z!r})' def __eq__(self, other): if not isinstance(other, Point): return NotImplemented return (self.x, self.y, self.z) == (other.x, other.y, other.z) def __hash__(self): return hash((self.x, self.y, self.z)) def __setattr__(self, name, value): raise AttributeError(f"Can't set attribute {name!r}") def __delattr__(self, name): raise AttributeError(f"Can't delete attribute {name!r}") def __getstate__(self): return (self.x, self.y, self.z) def __setstate__(self, state): fields = ('x', 'y', 'z') for field, value in zip(fields, state): object.__setattr__(self, field, value) p = Point(1, 2, 3) """, number=times) print(f"importing 200 dataclasses: {dataclass_time*1000:.0f}ms") print(f"importing 200 regular classes: {nondataclass_time*1000:.0f}ms")
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