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Title: gh-114264: Optimize performance of copy.deepcopy by adding a fast path for atomic types by eendebakpt · Pull Request #114266 · python/cpython · GitHub

Open Graph Title: gh-114264: Optimize performance of copy.deepcopy by adding a fast path for atomic types by eendebakpt · Pull Request #114266 · python/cpython

X Title: gh-114264: Optimize performance of copy.deepcopy by adding a fast path for atomic types by eendebakpt · Pull Request #114266 · python/cpython

Description: By adding a fast path for atomic types we eliminate the overhead of checking the memo argument of deepcopy and the overhead of calling the dispatch method. Benchmark: deepcopy dict: Mean +- std dev: [main] 6.88 us +- 0.08 us -> [pr] 4.65 us +- 0.06 us: 1.48x faster deepcopy dataclass: Mean +- std dev: [main] 6.64 us +- 0.11 us -> [pr] 5.23 us +- 0.07 us: 1.27x faster deepcopy small tuple: Mean +- std dev: [main] 1.07 us +- 0.01 us -> [pr] 924 ns +- 33 ns: 1.16x faster Geometric mean: 1.30x faster Benchmark script: import pyperf runner = pyperf.Runner() setup=""" import copy a={'list': [1,2,3,43], 't': (1,2,3), 'str': 'hello', 'subdict': {'a': True}} from dataclasses import dataclass @dataclass class A: a : list b : str c : bool dc=A([1,2,3], 'hello', True) small_tuple = (1, ) """ runner.timeit(name=f"deepcopy dict", stmt=f"b=copy.deepcopy(a)", setup=setup) runner.timeit(name=f"deepcopy dataclass", stmt=f"b=copy.deepcopy(dc)", setup=setup) runner.timeit(name=f"deepcopy small tuple", stmt=f"b=copy.deepcopy(small_tuple)", setup=setup) The approach is similar to the one used in #103005 Issue: gh-114264

Open Graph Description: By adding a fast path for atomic types we eliminate the overhead of checking the memo argument of deepcopy and the overhead of calling the dispatch method. Benchmark: deepcopy dict: Mean +- std dev...

X Description: By adding a fast path for atomic types we eliminate the overhead of checking the memo argument of deepcopy and the overhead of calling the dispatch method. Benchmark: deepcopy dict: Mean +- std dev...

Opengraph URL: https://github.com/python/cpython/pull/114266

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