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Andrew MacIntyre
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PC/os2emx/README.os2emx

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@@ -68,7 +68,7 @@ development tools. His patches against the Python v1.5.2 source
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distribution have become the core of this port, and without his efforts
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this port wouldn't exist. Andy's port also appears to have been
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compiled with his port of gcc 2.95.2 to EMX, which I have but have
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chosen not to use for the binary distribution of this port (see item 21
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chosen not to use for the binary distribution of this port (see item 16
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of the "YOU HAVE BEEN WARNED" section below).
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Previous Python port releases by me:-
@@ -84,7 +84,11 @@ Previous Python port releases by me:-
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- v2.2 on December 24, 2001;
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- v2.2.1c2 on March 31, 2002 (not uploaded to archive sites);
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- v2.2.1 on April 14, 2002;
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- v2.2.2 on October 24, 2002.
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- v2.2.2 on October 24, 2002;
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- v2.3a2 on March 2, 2003 (not uploaded to archive sites);
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- v2.3b1 on April 27, 2003 (not uploaded to archive sites);
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- v2.2.3c1 on May 28, 2003 (not uploaded to archive sites);
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- v2.2.3 on June 1, 2003.
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It is possible to have these earlier ports still usable after installing
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this port - see the README.os2emx.multiple_versions file, contributed by
@@ -545,18 +549,10 @@ error.
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I have not attempted to compile Python with any version of gcc prior to
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v2.8.1.
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If you compile Python with pgcc 2.95, changing the optimisation from -O2 to
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-O3 is worthwhile. While more aggressive optimisation is supported by gcc,
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a lot of benchmarking indicates that Python's performance is impeded by
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optimisation settings beyond just -O2 (-O3 for pgcc 2.95), at least on my
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hardware (AMD Athlon 1.4GHz, VIA C3 800MHz).
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If you wish to compile Python with gcc 3.2.1, you will need to modify the
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Makefile to compile Modules/_sre.c with either the -Os (recommended) or
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-O options, with the global optimisation set to -O2 or -O3 (not much
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difference between these with this compiler). Alternatively, you could
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change the global optimisation instead with a performance drop of 6-7%
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compared to the special-case approach.
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While gcc supports more aggressive optimisation than I use, a lot of
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benchmarking indicates that Python's performance is at best only
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marginally improved by more aggressive optimisation, at least on my
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hardware (AMD Athlon 1.4GHz, VIA C3 800MHz).
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17. os.spawnv() and os.spawnve() expose EMX's library routines rather
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than use the emulation in os.py.

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