Paul Moore <p.f.moore <at> gmail.com> writes: > > It would be helpful to limit this cost as much as possible - maybe > that's simply ensuring that the default encoding for open is (in the > majority of cases) a highly-optimised one whose costs *don't* dominate > in the way you describe As I pointed out, utf-8, utf-16 and latin1 decoders have already been optimized in py3k. For *pure ASCII* input, utf-8 decoding is blazingly fast (1GB/s here). The dataset for iobench isn't pure ASCII though, and that's why it's not as fast. People are invited to test their own workloads with the io-c branch and report performance figures (and possible bugs). There are so many possibilities that the benchmark figures given by a generic tool can only be indicative. Regards Antoine.
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