Inada Naoki <songofaca...@gmail.com> added the comment:
> The difference 5.1 ns is the cost of additional LOAD_CONST. It is around 8% > (but can be 12% or 2%). The cost of setting docstring externally will be the > same. I don't have bare metal machine for now so I don't know why annotation is so slow. But cost of setting docstring is lighter. ``` # main branch $ cpython/release/bin/pyperf timeit --duplicate=100 "def f(): > 'docstring'" ..................... Mean +- std dev: 61.5 ns +- 1.3 ns # https://github.com/methane/cpython/pull/37 $ load-none-remove-docstring/release/bin/pyperf timeit --duplicate=100 "def f(): > 'docstring'" ..................... Mean +- std dev: 62.9 ns +- 1.5 ns $ load-none-remove-docstring/release/bin/pyperf timeit --duplicate=100 "def f(x: 'int', y: 'str') -> 'float': pass" ..................... Mean +- std dev: 65.1 ns +- 4.3 ns $ load-none-remove-docstring/release/bin/pyperf timeit --duplicate=100 "def f(x: 'int', y: 'str') -> 'float': 'docstring'" ..................... Mean +- std dev: 66.3 ns +- 2.6 ns $ load-none-remove-docstring/release/bin/pyperf timeit --duplicate=100 "def f(x: 'int', y: 'str') -> 'float': 'docstring' > f(None,None)" ..................... Mean +- std dev: 131 ns +- 6 ns ``` So overhead is around 2%. And this 2% is problem only for "creating function with annotation, without docstring, never called, in loop" situation. In regular situation, this overhead will be negligible. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue36521> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
