[Python-Dev] Reordering opcodes (PEP 203 Augmented Assignment)

[Eric S. Raymond]

M.-A. Lemburg <mal@lemburg.com>:
>            LOAD_FAST(124) :   19323126 ================================
>           SET_LINENO(127) :   15055591 ========================
>           LOAD_CONST(100) :    9254683 ===============
>            LOAD_NAME(101) :    8218954 =============
>          LOAD_GLOBAL(116) :    7174876 ===========
>           STORE_FAST(125) :    5927769 =========
>              POP_TOP(  1) :    5587424 =========
>        CALL_FUNCTION(131) :    5404709 ========
>        JUMP_IF_FALSE(111) :    5289262 ========
>           COMPARE_OP(106) :    4495179 =======
>            LOAD_ATTR(105) :    3481878 =====
>           BINARY_ADD( 23) :    3420811 =====
>         RETURN_VALUE( 83) :    2221212 ===
>           STORE_NAME( 90) :    2176228 ===
>           STORE_ATTR( 95) :    2085338 ===
>        BINARY_SUBSCR( 25) :    1834612 ===
>        JUMP_ABSOLUTE(113) :    1648327 ==
>         STORE_SUBSCR( 60) :    1446307 ==
>         JUMP_FORWARD(110) :    1014821 =
>      BINARY_SUBTRACT( 24) :     910085 =
>            POP_BLOCK( 87) :     806160 =
>         STORE_GLOBAL( 97) :     779880 =
>             FOR_LOOP(114) :     735245 =
>           SETUP_LOOP(120) :     657432 =
>        BINARY_MODULO( 22) :     610121 =
>                   32( 32) :     530811 
>                   31( 31) :     530657 
>      BINARY_MULTIPLY( 20) :     392274 
>         SETUP_EXCEPT(121) :     285523 

Some thoughts:

1. That looks as close to a Poisson distribution as makes no difference.
   I wonder what that means?

2. Microtuning in the implementations of the top 3 opcodes looks indicated,
   as they seem to constitute more than 50% of all calls.

3. On the other hand, what do you get when you weight these by average
   time per opcode?
-- 
		<a href="http://www.tuxedo.org/~esr">Eric S. Raymond</a>

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