Message230600
This is similar to the idea of loading the stdlib from a zip file (but less intrusive and more debugging-friendly). The time savings will depend on whether the filesystem cache is cold or hot. In the latter case, my intuition is that decompression will slow things down a bit :-)
Quick decompression benchmark on a popular stdlib module, and a fast CPU:
$ ./python -m timeit -s "import zlib; data = zlib.compress(open('Lib/__pycache__/threading.cpython-35.pyc', 'rb').read())" "zlib.decompress(data)"
10000 loops, best of 3: 180 usec per loop |
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Date |
User |
Action |
Args |
2014-11-04 09:41:05 | pitrou | set | recipients:
+ pitrou, tim.peters, brett.cannon, rhettinger |
2014-11-04 09:41:05 | pitrou | set | messageid: <1415094065.51.0.634739658383.issue22789@psf.upfronthosting.co.za> |
2014-11-04 09:41:05 | pitrou | link | issue22789 messages |
2014-11-04 09:41:05 | pitrou | create | |
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